Environmental Systems Conflict Resolution

NASA Astrophysics Data System (ADS)

Hipel, K. W.

2017-12-01

The Graph Model for Conflict Resolution (GMCR) is applied to a real-life groundwater contamination dispute to demonstrate how one can realistically model and analyze the controversy in order to obtain an enhanced understanding and strategic insights for permitting one to make informed decisions. This highly divisive conflict is utilized to explain a rich range of inherent capabilities of GMCR, as well as worthwhile avenues for extensions, which make GMCR a truly powerful decision technology for addressing challenging conflict situations. For instance, a flexible preference elicitation method called option prioritization can be employed to obtain the relative preferences of each decision maker (DM) in the dispute over the states or scenarios which can occur, based upon preference statements regarding the options or courses of actions available to the DMs. Solution concepts, reflecting the way a chess player thinks in terms of moves and counter-moves, are defined to mirror the ways humans may behave under conflict, varying from short to long term thinking. After ascertaining the best outcome that a DM can achieve on his or her own in a conflict, coalition analysis algorithms are available to check if a DM can fare even better via cooperating with others. The ability of GMCR to take into account emotions, strength of preference, attitudes, misunderstandings (referred to as hypergames), and uncertain preferences (unknown, fuzzy, grey and probabilistic) greatly broadens its scope of applicability. Techniques for tracing how a conflict can evolve over time from a status quo state to a final specified outcome, as well as how to handle hierarchical structures, such as when a central government interacts with its provinces or states, further enforces the comprehensive nature of GMCR. Within ongoing conflict research mimicking how physical systems are analyzed, methods for inverse engineering of preferences are explained for determining the preferences required by one or more DMs in order for a desirable resolution to be reached. In the behavioral engine problem, the manner in which a DM may be thinking strategically under conflict can be calculated given the input preferences and a selected equilibrium.

Multiagent distributed watershed management

NASA Astrophysics Data System (ADS)

Giuliani, M.; Castelletti, A.; Amigoni, F.; Cai, X.

2012-04-01

Deregulation and democratization of water along with increasing environmental awareness are challenging integrated water resources planning and management worldwide. The traditional centralized approach to water management, as described in much of water resources literature, is often unfeasible in most of the modern social and institutional contexts. Thus it should be reconsidered from a more realistic and distributed perspective, in order to account for the presence of multiple and often independent Decision Makers (DMs) and many conflicting stakeholders. Game theory based approaches are often used to study these situations of conflict (Madani, 2010), but they are limited to a descriptive perspective. Multiagent systems (see Wooldridge, 2009), instead, seem to be a more suitable paradigm because they naturally allow to represent a set of self-interested agents (DMs and/or stakeholders) acting in a distributed decision process at the agent level, resulting in a promising compromise alternative between the ideal centralized solution and the actual uncoordinated practices. Casting a water management problem in a multiagent framework allows to exploit the techniques and methods that are already available in this field for solving distributed optimization problems. In particular, in Distributed Constraint Satisfaction Problems (DCSP, see Yokoo et al., 2000), each agent controls some variables according to his own utility function but has to satisfy inter-agent constraints; while in Distributed Constraint Optimization Problems (DCOP, see Modi et al., 2005), the problem is generalized by introducing a global objective function to be optimized that requires a coordination mechanism between the agents. In this work, we apply a DCSP-DCOP based approach to model a steady state hypothetical watershed management problem (Yang et al., 2009), involving several active human agents (i.e. agents who make decisions) and reactive ecological agents (i.e. agents representing environmental interests). Different scenarios of distributed management are simulated, i.e. a situation where all the agents act independently, a situation in which a global coordination takes place and in-between solutions. The solutions are compared with the ones presented in Yang et al. (2009), aiming to present more general multiagent approaches to solve distributed management problems.

Functional relationships between the hippocampus and dorsomedial striatum in learning a visual scene-based memory task in rats.

PubMed

Delcasso, Sébastien; Huh, Namjung; Byeon, Jung Seop; Lee, Jihyun; Jung, Min Whan; Lee, Inah

2014-11-19

The hippocampus is important for contextual behavior, and the striatum plays key roles in decision making. When studying the functional relationships with the hippocampus, prior studies have focused mostly on the dorsolateral striatum (DLS), emphasizing the antagonistic relationships between the hippocampus and DLS in spatial versus response learning. By contrast, the functional relationships between the dorsomedial striatum (DMS) and hippocampus are relatively unknown. The current study reports that lesions to both the hippocampus and DMS profoundly impaired performance of rats in a visual scene-based memory task in which the animals were required to make a choice response by using visual scenes displayed in the background. Analysis of simultaneous recordings of local field potentials revealed that the gamma oscillatory power was higher in the DMS, but not in CA1, when the rat performed the task using familiar scenes than novel ones. In addition, the CA1-DMS networks increased coherence at γ, but not at θ, rhythm as the rat mastered the task. At the single-unit level, the neuronal populations in CA1 and DMS showed differential firing patterns when responses were made using familiar visual scenes than novel ones. Such learning-dependent firing patterns were observed earlier in the DMS than in CA1 before the rat made choice responses. The present findings suggest that both the hippocampus and DMS process memory representations for visual scenes in parallel with different time courses and that flexible choice action using background visual scenes requires coordinated operations of the hippocampus and DMS at γ frequencies. Copyright © 2014 the authors 0270-6474/14/3415534-14$15.00/0.

Pulling habits out of rats: adenosine 2A receptor antagonism in dorsomedial striatum rescues meth-amphetamine-induced deficits in goal-directed action.

PubMed

Furlong, Teri M; Supit, Alva S A; Corbit, Laura H; Killcross, Simon; Balleine, Bernard W

2017-01-01

Addiction is characterized by a persistent loss of behavioral control resulting in insensitivity to negative feedback and abnormal decision-making. Here, we investigated the influence of methamphetamine (METH)-paired contextual cues on decision-making in rats. Choice between goal-directed actions was sensitive to outcome devaluation in a saline-paired context but was impaired in the METH-paired context, a deficit that was also found when negative feedback was provided. Reductions in c-Fos-related immunoreactivity were found in dorsomedial striatum (DMS) but not dorsolateral striatum after exposure to the METH context suggesting this effect reflected a loss specifically in goal-directed control in the METH context. This reduction in c-Fos was localized to non-enkephalin-expressing neurons in the DMS, likely dopamine D1-expressing direct pathway neurons, suggesting a relative change in control by the D1-direct versus D2-indirect pathways originating in the DMS may have been induced by METH-context exposure. To test this suggestion, we infused the adenosine 2A receptor antagonist ZM241385 into the DMS prior to test to reduce activity in D2 neurons relative to D1 neurons in the hope of reducing the inhibitory output from this region of the striatum. We found that this treatment fully restored sensitivity to negative feedback in a test conducted in the METH-paired context. These results suggest that drug exposure alters decision-making by downregulation of the circuitry mediating goal-directed action, an effect that can be ameliorated by acute A 2A receptor inhibition in this circuit. © 2015 Society for the Study of Addiction.

ELICIT: An alternative imprecise weight elicitation technique for use in multi-criteria decision analysis for healthcare

PubMed Central

Diaby, Vakaramoko; Sanogo, Vassiki; Moussa, Kouame Richard

2015-01-01

Objective In this paper, the readers are introduced to ELICIT, an imprecise weight elicitation technique for multicriteria decision analysis for healthcare. Methods The application of ELICIT consists of two steps: the rank ordering of evaluation criteria based on decision-makers’ (DMs) preferences using the principal component analysis; and the estimation of criteria weights and their descriptive statistics using the variable interdependent analysis and the Monte Carlo method. The application of ELICIT is illustrated with a hypothetical case study involving the elicitation of weights for five criteria used to select the best device for eye surgery. Results The criteria were ranked from 1–5, based on a strict preference relationship established by the DMs. For each criterion, the deterministic weight was estimated as well as the standard deviation and 95% credibility interval. Conclusions ELICIT is appropriate in situations where only ordinal DMs’ preferences are available to elicit decision criteria weights. PMID:26361235

Operation GRITROCK: the Defence Medical Services' story and emerging lessons from supporting the UK response to the Ebola crisis.

PubMed

Bricknell, Martin; Hodgetts, T; Beaton, K; McCourt, A

2016-06-01

This paper is a record of the UK Defence Medical Services (DMS) contribution to the UK response to the Ebola crisis in West Africa from the start of planning in July 2014 to the closure of the Ministry of Defence Ebola Virus Disease Treatment Unit at the end of June 2015. The context and wider UK government decisions are summarised. This paper describes the decisions and processes that resulted in the deployment of a DMS delivered Ebola Treatment Unit in conjunction with the Department for International Development and Save the Children. It covers arrangements for medical care for disease and non-battle injury, the Air Transportable Isolator and Force Health Protection policy, and finally, considers the medical lessons from this deployment. The core message is that the UK DMS are the only part of the UK health sector that is trained, equipped, manned and available to rapidly deploy and operate a complete medical unit as part of an international response to a health crisis. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Factors influencing decision regret regarding placement of a PEG among substitute decision-makers of older persons in Japan: a prospective study.

PubMed

Kuraoka, Yumiko; Nakayama, Kazuhiro

2017-06-28

A tube feeding decision aid designed at the Ottawa Health Research Institute was specifically created for substitute decision-makers who must decide whether to allow placement of a percutaneous endoscopic gastrostomy (PEG) tube in a cognitively impaired older person. We developed a Japanese version and found that the decision aid promoted the decision-making process of substitute decision-makers to decrease decisional conflict and increase knowledge. However, the factors that influence decision regret among substitute decision-makers were not measured after the decision was made. The objective of this study was to explore the factors that influence decision regret among substitute decision-makers 6 months after using a decision aid for PEG placement. In this prospective study, participants comprised substitute decision-makers for 45 inpatients aged 65 years and older who were being considered for placement of a PEG tube in hospitals, nursing homes and patients' homes in Japan. The Decisional Conflict Scale (DCS) was used to evaluate decisional conflict among substitute decision-makers immediately after deciding whether to introduce tube feeding and the Decision Regret Scale (DRS) was used to evaluate decisional regret among substitute decision-makers 6 months after they made their decision. Normalized scores were evaluated and analysis of variance was used to compare groups. The results of the multiple regression analysis suggest that PEG placement (P < .01) and decision conflict (P < .001) are explanatory factors of decision regret regarding placement of a PEG among substitute decision-makers. PEG placement and decision conflict immediately after deciding whether to allow PEG placement have an influence on decision regret among substitute decision-makers after 6 months.

What do decision makers learn from public forums on climate-related hazards and resilience?

NASA Astrophysics Data System (ADS)

Weller, N.; Farooque, M.; Sittenfeld, D.

2017-12-01

Public engagement around climate resilience efforts can foster learning for both public audiences and decision makers. On the one hand, public audiences learn about environmental hazards and strategies to increase community resilience through effective public engagement. On the other, decision makers and scientists learn about community members' values and priorities and their relation to environmental hazards and resilience strategies. Evidence from other public engagement efforts involving decision makers suggests that decision maker involvement results in reflection by officials on their own values, capacities, and roles. However, few public engagement exercises evaluate impacts on decision makers. As part of the Science Center Public Forums project, which aims to conduct public forums in eight cities across the country on resiliency to drought, heat, extreme precipitation, and sea level rise, we sought to 1) build partnerships with local decision makers and scientists around public forums and 2) explore how decision makers and scientists interacted with the planning and undertaking of those public forums. We held workshops with decision makers and scientists to inform forum content and identify local resilience issues. We will conduct interviews with local decision makers regarding their involvement in forum planning, their reflections and takeaways from the forum itself, and their perspectives on the value of public engagement for policy making. We will present our model of engagement with decision makers, initial findings from interviews, and lessons learned from connecting decision makers and scientists to public engagement efforts.

Family Communication about End-of-Life Decisions and the Enactment of the Decision-Maker Role.

PubMed

Trees, April R; Ohs, Jennifer E; Murray, Meghan C

2017-06-07

End-of-life (EOL) decisions in families are complex and emotional sites of family interaction necessitating family members coordinate roles in the EOL decision-making process. How family members in the United States enact the decision-maker role in EOL decision situations was examined through in-depth interviews with 22 individuals who participated in EOL decision-making for a family member. A number of themes emerged from the data with regard to the enactment of the decision-maker role. Families varied in how decision makers enacted the role in relation to collective family input, with consulting, informing and collaborating as different patterns of behavior. Formal family roles along with gender- and age-based roles shaped who took on the decision-maker role. Additionally, both family members and medical professionals facilitated or undermined the decision-maker's role enactment. Understanding the structure and enactment of the decision-maker role in family interaction provides insight into how individuals and/or family members perform the decision-making role within a cultural context that values autonomy and self-determination in combination with collective family action in EOL decision-making.

Interactive two-stage stochastic fuzzy programming for water resources management.

PubMed

Wang, S; Huang, G H

2011-08-01

In this study, an interactive two-stage stochastic fuzzy programming (ITSFP) approach has been developed through incorporating an interactive fuzzy resolution (IFR) method within an inexact two-stage stochastic programming (ITSP) framework. ITSFP can not only tackle dual uncertainties presented as fuzzy boundary intervals that exist in the objective function and the left- and right-hand sides of constraints, but also permit in-depth analyses of various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated. A management problem in terms of water resources allocation has been studied to illustrate applicability of the proposed approach. The results indicate that a set of solutions under different feasibility degrees has been generated for planning the water resources allocation. They can help the decision makers (DMs) to conduct in-depth analyses of tradeoffs between economic efficiency and constraint-violation risk, as well as enable them to identify, in an interactive way, a desired compromise between satisfaction degree of the goal and feasibility of the constraints (i.e., risk of constraint violation). Copyright © 2011 Elsevier Ltd. All rights reserved.

A combined approach based on MAF analysis and AHP method to fault detection mapping: A case study from a gas field, southwest of Iran

NASA Astrophysics Data System (ADS)

Shakiba, Sima; Asghari, Omid; Khah, Nasser Keshavarz Faraj

2018-01-01

A combined geostatitical methodology based on Min/Max Auto-correlation Factor (MAF) analysis and Analytical Hierarchy Process (AHP) is presented to generate a suitable Fault Detection Map (FDM) through seismic attributes. Five seismic attributes derived from a 2D time slice obtained from data related to a gas field located in southwest of Iran are used including instantaneous amplitude, similarity, energy, frequency, and Fault Enhancement Filter (FEF). The MAF analysis is implemented to reduce dimension of input variables, and then AHP method is applied on three obtained de-correlated MAF factors as evidential layer. Three Decision Makers (DMs) are used to construct PCMs for determining weights of selected evidential layer. Finally, weights obtained by AHP were multiplied in normalized valued of each alternative (MAF layers) and the concluded weighted layers were integrated in order to prepare final FDM. Results proved that applying algorithm proposed in this study generate a map more acceptable than the each individual attribute and sharpen the non-surface discontinuities as well as enhancing continuity of detected faults.

Resolution of an uncertain closed-loop logistics model: an application to fuzzy linear programs with risk analysis.

PubMed

Wang, Hsiao-Fan; Hsu, Hsin-Wei

2010-11-01

With the urgency of global warming, green supply chain management, logistics in particular, has drawn the attention of researchers. Although there are closed-loop green logistics models in the literature, most of them do not consider the uncertain environment in general terms. In this study, a generalized model is proposed where the uncertainty is expressed by fuzzy numbers. An interval programming model is proposed by the defined means and mean square imprecision index obtained from the integrated information of all the level cuts of fuzzy numbers. The resolution for interval programming is based on the decision maker (DM)'s preference. The resulting solution provides useful information on the expected solutions under a confidence level containing a degree of risk. The results suggest that the more optimistic the DM is, the better is the resulting solution. However, a higher risk of violation of the resource constraints is also present. By defining this probable risk, a solution procedure was developed with numerical illustrations. This provides a DM trade-off mechanism between logistic cost and the risk. Copyright 2010 Elsevier Ltd. All rights reserved.

Midwives' perceptions of communication during videotaped counseling for prenatal anomaly tests: how do they relate to clients' perceptions and independent observations?

PubMed

Martin, Linda; Gitsels-van der Wal, Janneke T; Pereboom, Monique T R; Spelten, Evelien R; Hutton, Eileen K; van Dulmen, Sandra

2015-05-01

This study aimed to provide insight into Dutch midwives' self-evaluation of prenatal counseling for anomaly screening in real life practice and, the degree of congruence of midwives' self-assessments with clients' perceptions and with observed performance. Counseling sessions were videotaped. We used the QUOTE(prenatal) questionnaire to have each midwife (N = 20) and her client (N = 240) rate the prenatal counseling that they had together. We used an adapted version of the RIAS video-coding system to assess actual counseling during videotaped prenatal counseling (N = 240). Midwives perceived the following functions of counseling performed well: 100% of Client-Counselor relation (CCR); 80% of Health Education (HE); and 17% Decision-Making Support (DMS). Congruence on HE of midwives with observers and with clients was ≥ 75%; congruence on DMS was higher between midwives and observers (80%) compared to midwives and clients (62%). Midwives perceive that during prenatal counseling the CCR and HE functions of counseling were performed well, whereas DMS was not. Furthermore, this study shows incongruence between midwives and clients about the discussion during DMS, indicating DMS is more difficult to assess than HE. The best way to measure prenatal counseling practice might be by using assessments of different sources within one study. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

49 CFR 1503.659 - Petition to reconsider or modify a final decision and order of the TSA decision maker on appeal.

Code of Federal Regulations, 2010 CFR

2010-10-01

... and order of the TSA decision maker on appeal. 1503.659 Section 1503.659 Transportation Other... Practice in TSA Civil Penalty Actions § 1503.659 Petition to reconsider or modify a final decision and order of the TSA decision maker on appeal. (a) General. Any party may petition the TSA decision maker to...

Appropriateness for Total Joint Replacement: Perspectives of Decision-Makers

PubMed Central

Clavel, Nathalie; De coster, Carolyn; Pomey, Marie-Pascale; Sanmartin, Claudia; Bohm, Éric; Dunbar, Michael J.; Frank, CY; Hawker, Gillian; Noseworthy, Tom

2016-01-01

Background: Improving access to total joint replacement (TJR) has been a priority. Without robust mechanisms to ensure appropriateness, these procedures may be overused, incurring substantial costs. In that context, decision-makers are particularly concerned with the appropriateness of TJR. Objective: While our previous research focused on the appropriateness of TJR from clinical and patient perspectives, this study is aimed at understanding decision-makers' perspectives. Methods: Using a semi-structured guide, we interviewed a convenience sample of decision-makers in four Canadian provinces (Alberta, Manitoba, Nova Scotia and Quebec) between February and March 2013. For the purposes of this study, a decision-maker was defined as a manager, institutional leader or policy maker. Results: Fifteen interviews were conducted with decision-makers at ministry (n = 3), regional (n = 6) and institutional levels (n = 8). Decision-makers see themselves as having a key role in the appropriateness discourse, that of optimizing resource allocation and efficient delivery of services for TJR, to improve population outcomes. Conclusion: The decision-makers' view of appropriateness recognizes the importance of the clinical view, but it offers a very different input into the appropriateness discourse, more closely aligned with appropriateness of setting, which refers to cost-effectiveness considerations. PMID:27027795

Antenatal counselling for congenital anomaly tests: an exploratory video-observational study about client-midwife communication.

PubMed

Martin, Linda; Hutton, Eileen K; Gitsels-van der Wal, Janneke T; Spelten, Evelien R; Kuiper, Fleur; Pereboom, Monique T R; van Dulmen, Sandra

2015-01-01

antenatal counselling for congenital anomaly tests is conceptualised as having both Health Education (HE) and Decision-Making Support (DMS) functions. Building and maintaining a client-midwife relation (CMR) is seen as a necessary condition for enabling these two counselling functions. However, little is known about how these functions are fulfilled in daily practice. This study aims to describe the relative expression of the antenatal counselling functions; to describe the ratio of client versus midwife conversational contribution and to get insight into clients' characteristics, which are associated with midwives' expressions of the functions of antenatal counselling. exploratory video-observational study. 269 videotaped antenatal counselling sessions for congenital anomaly tests provided by 20 midwives within six Dutch practices. we used an adapted version of the Roter Interaction Analysis System to code the client-midwife communication. Multilevel linear regression analyses were used to analyse associations between clients' characteristics and midwives' expressions of antenatal counselling in practice. most utterances made during counselling were coded as HE (41%); a quarter as DMS (23%) and 36% as CMR. Midwives contributed the most to the HE compared to clients or their partners (91% versus 9%) and less to the DMS function of counselling (61% versus 39%). Multilevel analyses showed an independent association between parity and shorter duration of antenatal counselling; (β=-3.01; p<0.001). The amount of utterances concerning HE and DMS during counselling of multipara was less compared to nulliparous. antenatal counselling for congenital anomaly tests by midwives is focused on giving HE compared to DMS. The relatively low contribution of clients during DMS might indicate poor DMS given by midwives. Counselling of multipara was significantly shorter than counselling of nulliparous; multiparae received less HE as well as DMS compared to nulliparous women. our findings should encourage midwives to reflect on the process of antenatal counselling they offer with regards to the way they address the three antenatal counselling functions during counselling of nulliparous women compared to multiparae. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Voices of decision makers on evidence-based policy: A case of evolving TB/HIV co-infection policy in India.

PubMed

Reddy, K Srikanth; Sahay, Seema

2016-01-01

This study explores decision makers' perspectives on evidence-based policy (EBP) development using the case of TB/HIV co-infection in India. Twelve in-depth interviews were conducted with purposively selected key national and international policy decision makers in India. Verbatim transcripts were processed and analysed thematically using QSR (NUD*IST 6). The decision makers were unequivocal in recognizing the TB/HIV co-infection as an important public health issue in India and stated the problem to be different than Africa. The need of having a "third programme" for co-infection was not felt. According to them, the public health management of this co-infection must be within the realm of these two programmes. The study also emphasized on decision makers' perspectives on evidence and the process of utilization of evidence for decision-making for co-infection. Study findings showed global evidence was not always accepted by the decision makers and study shows several examples of decision makers demanding local evidence for policy decisions. Decision makers did make interim policies based on global evidence but most of the time their mandate was to get local evidence. Thus, operations research/implementation science especially multi-centric studies emerge as important strategy for EBP development. Researcher-policy maker interface was a gap where role of researcher as aggressive communicator of research findings was expected.

Attunement and alignment of people with schizophrenia and their preferred alternative decision-makers: An exploratory pilot study comparing treatment and research decisions.

PubMed

Roberts, Laura Weiss; Kim, Jane Paik

2015-12-01

Schizophrenia is a serious mental disorder that may affect the decisional capacity, and as a consequence, preferred alternative decision-makers may be engaged to help with clinical care and research-related choices. Ideally, alternative decision-makers will seek to make decisions that fit with the views and preferences of the ill individual. Few data exist, however, comparing the views of alternative decision-makers to those of individuals with schizophrenia. We conducted a written survey with individuals with schizophrenia living in a community setting, and a parallel survey with the person whom the ill individual identified as being a preferred alternative decision-maker. Complete data were obtained on 20 pairs (n = 40, total). Domains queried included (a) burden, happiness, and safety of the ill individual and of his or her family in treatment and research decisions and (b) importance of ethical principles in every day life. Two-sided paired t-tests and graphical summaries were used to compare responses. Individuals with schizophrenia and their linked preferred alternative decision-makers were attuned on four of six aspects of treatment decision-making and on all six aspects of research decision-making that we queried. The preferred alternative decision-makers overall demonstrated attunement to the views of the ill individuals in this small study. Ill individuals and their preferred alternative decision-makers were aligned in their views of ethically-salient aspects of every day life. These novel findings suggest that alternative decision-makers identified by ill individuals may be able to guide choices based on an accurate understanding of the ill individuals' views and values. Copyright © 2015 Elsevier Ltd. All rights reserved.

Application of risk-based multiple criteria decision analysis for selection of the best agricultural scenario for effective watershed management.

PubMed

Javidi Sabbaghian, Reza; Zarghami, Mahdi; Nejadhashemi, A Pouyan; Sharifi, Mohammad Bagher; Herman, Matthew R; Daneshvar, Fariborz

2016-03-01

Effective watershed management requires the evaluation of agricultural best management practice (BMP) scenarios which carefully consider the relevant environmental, economic, and social criteria involved. In the Multiple Criteria Decision-Making (MCDM) process, scenarios are first evaluated and then ranked to determine the most desirable outcome for the particular watershed. The main challenge of this process is the accurate identification of the best solution for the watershed in question, despite the various risk attitudes presented by the associated decision-makers (DMs). This paper introduces a novel approach for implementation of the MCDM process based on a comparative neutral risk/risk-based decision analysis, which results in the selection of the most desirable scenario for use in the entire watershed. At the sub-basin level, each scenario includes multiple BMPs with scores that have been calculated using the criteria derived from two cases of neutral risk and risk-based decision-making. The simple additive weighting (SAW) operator is applied for use in neutral risk decision-making, while the ordered weighted averaging (OWA) and induced OWA (IOWA) operators are effective for risk-based decision-making. At the watershed level, the BMP scores of the sub-basins are aggregated to calculate each scenarios' combined goodness measurements; the most desirable scenario for the entire watershed is then selected based on the combined goodness measurements. Our final results illustrate the type of operator and risk attitudes needed to satisfy the relevant criteria within the number of sub-basins, and how they ultimately affect the final ranking of the given scenarios. The methodology proposed here has been successfully applied to the Honeyoey Creek-Pine Creek watershed in Michigan, USA to evaluate various BMP scenarios and determine the best solution for both the stakeholders and the overall stream health. Copyright © 2015 Elsevier Ltd. All rights reserved.

Bridging the gap between science and decision making.

PubMed

von Winterfeldt, Detlof

2013-08-20

All decisions, whether they are personal, public, or business-related, are based on the decision maker's beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers' information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making.

Trusted Advisors, Decision Models and Other Keys to Communicating Science to Decision Makers

NASA Astrophysics Data System (ADS)

Webb, E.

2006-12-01

Water resource management decisions often involve multiple parties engaged in contentious negotiations that try to navigate through complex combinations of legal, social, hydrologic, financial, and engineering considerations. The standard approach for resolving these issues is some form of multi-party negotiation, a formal court decision, or a combination of the two. In all these cases, the role of the decision maker(s) is to choose and implement the best option that fits the needs and wants of the community. However, each path to a decision carries the risk of technical and/or financial infeasibility as well as the possibility of unintended consequences. To help reduce this risk, decision makers often rely on some type of predictive analysis from which they can evaluate the projected consequences of their decisions. Typically, decision makers are supported in the analysis process by trusted advisors who engage in the analysis as well as the day to day tasks associated with multi-party negotiations. In the case of water resource management, the analysis is frequently a numerical model or set of models that can simulate various management decisions across multiple systems and output results that illustrate the impact on areas of concern. Thus, in order to communicate scientific knowledge to the decision makers, the quality of the communication between the analysts, the trusted advisor, and the decision maker must be clear and direct. To illustrate this concept, a multi-attribute decision analysis matrix will be used to outline the value of computer model-based collaborative negotiation approaches to guide water resources decision making and communication with decision makers. In addition, the critical role of the trusted advisor and other secondary participants in the decision process will be discussed using examples from recent water negotiations.

Orbitofrontal and striatal circuits dynamically encode the shift between goal-directed and habitual actions

PubMed Central

Gremel, Christina M.; Costa, Rui M.

2014-01-01

Shifting between goal-directed and habitual actions allows for efficient and flexible decision-making. Here we demonstrate a novel, within-subject instrumental lever-pressing paradigm where mice shift between goal-directed and habitual actions. We identify a role for orbitofrontal cortex (OFC) in actions following outcome-revaluation, and confirm that dorsal medial (DMS) and lateral striatum (DLS) mediate different action strategies. In-vivo simultaneous recordings of OFC, DMS, and DLS neuronal ensembles during shifting reveal that the same neurons display different activity depending on whether presses are goal-directed or habitual, with DMS and OFC becoming more—and DLS less-engaged during goal-directed actions. Importantly, the magnitude of neural activity changes in OFC following changes in outcome value positively correlates with the level of goal-directed behavior. Chemogenetic inhibition of OFC disruptsgoal-directed actions, while optogenetic activation of OFC specifically increases goal-directed pressing. They also reveal a role for OFC in action revaluation, which has implications for understanding compulsive behavior. PMID:23921250

Good decision-making is associated with an adaptive cardiovascular response to social competitive stress.

PubMed

Alacreu-Crespo, Adrián; Costa, Raquel; Abad-Tortosa, Diana; Salvador, Alicia; Serrano, Miguel Ángel

2018-06-22

Competition elicits different psychological and cardiovascular responses depending on a person's skills. Decision-making has been considered a distal factor that influences competition, but there are no studies analyzing this relationship. Our objective was to analyze whether decision-making affects the response to competition. Specifically, we aimed to test whether good performers on a decision-making test, the Iowa Gambling Task (IGT), showed an adaptive cardiovascular response to competition. In all, 116 participants (44 women) performed the IGT and were classified into Good or Poor decision-makers. Subsequently, they were exposed to a stress task in two different conditions: a face-to-face competition (winners/losers) or a control condition, while an electrocardiogram was recorded. In the competition group, good decision-makers increased their high-frequency respect to the total heart rate variability (HF/HRV) levels during the task, compared to Poor decision-makers. Again, competition group good decision-makers, showed lower LF and higher HF/HRV reactivity than the control group, which represents lower HRV stress pattern. Moreover, in the group of losers, good decision-makers had a decline in low frequency (LF) during the task and faster recovery than poor decision-makers. In conclusion, good decision-makers have a more adaptive stress response and higher levels of mental effort, based on total HRV interpretation. Decision-making skills could be a factor in a more adaptive cardiovascular response to competition.

Deriving preference order of post-mining land-uses through MLSA framework: application of an outranking technique

NASA Astrophysics Data System (ADS)

Soltanmohammadi, Hossein; Osanloo, Morteza; Aghajani Bazzazi, Abbas

2009-08-01

This study intends to take advantage of a previously developed framework for mined land suitability analysis (MLSA) consisted of economical, social, technical and mine site factors to achieve a partial and also a complete pre-order of feasible post-mining land-uses. Analysis by an outranking multi-attribute decision-making (MADM) technique, called PROMETHEE (preference ranking organization method for enrichment evaluation), was taken into consideration because of its clear advantages on the field of MLSA as compared with MADM ranking techniques. Application of the proposed approach on a mined land can be completed through some successive steps. First, performance of the MLSA attributes is scored locally by each individual decision maker (DM). Then the assigned performance scores are normalized and the deviation amplitudes of non-dominated alternatives are calculated. Weights of the attributes are calculated by another MADM technique namely, analytical hierarchy process (AHP) in a separate procedure. Using the Gaussian preference function beside the weights, the preference indexes of the land-use alternatives are obtained. Calculation of the outgoing and entering flows of the alternatives and one by one comparison of these values will lead to partial pre-order of them and calculation of the net flows, will lead to a ranked preference for each land-use. At the final step, utilizing the PROMETHEE group decision support system which incorporates judgments of all the DMs, a consensual ranking can be derived. In this paper, preference order of post-mining land-uses for a hypothetical mined land has been derived according to judgments of one DM to reveal applicability of the proposed approach.

Facilitation and Restoration of Cognitive Function in Primate Prefrontal Cortex by a Neuroprosthesis that Utilizes Minicolumn-Specific Neural Firing

PubMed Central

Hampson, Robert E.; Gerhardt, Greg A.; Marmarelis, Vasilis; Song, Dong; Opris, Ioan; Santos, Lucas; Berger, Theodore W.; Deadwyler, Sam A.

2012-01-01

Problem addressed Maintenance of cognitive control is a major concern for many human disease condition, therefore a major goal of human neuroprosthetics is to facilitate and/or recover cognitive function when such circumstances impair appropriate decision making. Methodology Nonhuman primates trained to perform a delayed match to sample (DMS) were employed to record mini-columnar activity in the prefrontal cortex (PFC) via custom designed conformal multielectrode arrays that provided inter-laminar recordings from neurons in PFC layer 2/3 and layer 5. Such recordings were analyzed via a previously demonstrated nonlinear multi-input multi-output (MIMO) neuroprosthesis in rodents, which extracted and characterized multi-columnar firing patterns during DMS performance. Results The MIMO model verified that the conformal recorded individual PFC minicolumns responded to entrained target selections in patterns critical for successful DMS performance. This allowed substitution of task-related layer 5 neuron firing patterns with electrical stimulation in the same recording regions during columnar transmission from layer 2/3 at the time of target selection. Such stimulation facilitated normal task performance, but more importantly, recovered performance when applied as a neuroprosthesis following pharmacological disruption of decision making in the same task. Significance and potential impact These findings provide the first successful application of a neuroprosthesis in primate brain designed specifically to restore or repair disrupted cognitive function. PMID:22976769

Use of economic evaluation in decision making: evidence and recommendations for improvement.

PubMed

Simoens, Steven

2010-10-22

Information about the value for money of a medicine as derived from an economic evaluation can be used for decision-making purposes by policy makers, healthcare payers, healthcare professionals and pharmaceutical companies. This article illustrates the use of economic evaluation by decision makers and formulates a number of recommendations to enhance the use of such evaluations for decision-making purposes. Over the last decades, there has been a substantial increase in the number of economic evaluations assessing the value for money of medicines. Economic evaluation is used by policy makers and healthcare payers to inform medicine pricing/reimbursement decisions in more and more countries. It is a suitable tool to evaluate medicines and to present information about their value for money to decision makers in a familiar format. In order to fully exploit the use of economic evaluation for decision-making purposes, researchers need to take care to conduct such economic evaluations according to methodologically sound principles. Additionally, researchers need to take into account the decision-making context. They need to identify the various objectives that decision makers pursue and discuss how decision makers can use study findings to attain these objectives. These issues require further attention from researchers, policy makers, healthcare payers, healthcare professionals and pharmaceutical companies with a view to optimizing the use of economic evaluation in decision making.

SCIENCE, SCIENTISTS, AND POLICY ADVOCACY

EPA Science Inventory

To effectively resolve many current ecological policy issues, decision-makers require an array of scientific information. Sometimes scientific information is summarized for decision-makers by policy analysts or others, but often it comes directly from scientists to decision-maker...

Helping decision makers frame, analyze, and implement decisions

USGS Publications Warehouse

Runge, Michael C.; McDonald-Madden, Eve

2018-01-01

All decisions have the same recognizable elements. Context, objectives, alternatives, consequences, and deliberation. Decision makers and analysts familiar with these elements can quickly see the underlying structure of a decision.There are only a small number of classes of decisions. These classes differ in the cognitive and scientific challenge they present to the decision maker; the ability to recognize the class of decision leads a decision maker to tools to aid in the analysis.Sometimes we need more information, sometimes we don’t. The role of science in a decision-making process is to provide the predictions that link the alternative actions to the desired outcomes. Investing in more science is only valuable if it helps to choose a better action.Implementation. The successful integration of decision analysis into environmental decisions requires careful attention to the decision, the people, and the institutions involved.

Method of predicting a change in an economy

DOEpatents

Pryor, Richard J [Albuquerque, NM; Basu, Nipa [Albany, NY

2006-01-10

An economy whose activity is to be predicted comprises a plurality of decision makers. Decision makers include, for example, households, government, industry, and banks. The decision makers are represented by agents, where an agent can represent one or more decision makers. Each agent has decision rules that determine the agent's actions. Each agent can affect the economy by affecting variable conditions characteristic of the economy or the internal state of other agents. Agents can communicate actions through messages. On a multiprocessor computer, the agents can be assigned to processing elements.

A two-stage mixed-integer fuzzy programming with interval-valued membership functions approach for flood-diversion planning.

PubMed

Wang, S; Huang, G H

2013-03-15

Flood disasters have been extremely severe in recent decades, and they account for about one third of all natural catastrophes throughout the world. In this study, a two-stage mixed-integer fuzzy programming with interval-valued membership functions (TMFP-IMF) approach is developed for flood-diversion planning under uncertainty. TMFP-IMF integrates the fuzzy flexible programming, two-stage stochastic programming, and integer programming within a general framework. A concept of interval-valued fuzzy membership function is introduced to address complexities of system uncertainties. TMFP-IMF can not only deal with uncertainties expressed as fuzzy sets and probability distributions, but also incorporate pre-regulated water-diversion policies directly into its optimization process. TMFP-IMF is applied to a hypothetical case study of flood-diversion planning for demonstrating its applicability. Results indicate that reasonable solutions can be generated for binary and continuous variables. A variety of flood-diversion and capacity-expansion schemes can be obtained under four scenarios, which enable decision makers (DMs) to identify the most desired one based on their perceptions and attitudes towards the objective-function value and constraints. Copyright © 2013 Elsevier Ltd. All rights reserved.

Using Cognitive Conflict to Promote the Use of Dialectical Learning for Strategic Decision-Makers

ERIC Educational Resources Information Center

Woods, Jeffrey G.

2012-01-01

Purpose: The purpose of this paper is to develop a conceptual model that uses dialectical inquiry (DI) to create cognitive conflict in strategic decision-makers for the purpose of improving strategic decisions. Activation of the dialectical learning process using DI requires strategic decision-makers to integrate conflicting information causing…

49 CFR 1503.657 - Appeal from initial decision.

Code of Federal Regulations, 2010 CFR

2010-10-01

... AND ENFORCEMENT PROCEDURES Rules of Practice in TSA Civil Penalty Actions § 1503.657 Appeal from... order of the TSA decision maker have been entered on the record. (b) Issues on appeal. A party may... appeal with the consent of the TSA decision maker. If the TSA decision maker grants an extension of time...

Bridging the Gap: Tailor-made Information Products for Decision Makers

NASA Astrophysics Data System (ADS)

Mandler, B. E.; Rose, C. A.; Gonzales, L. M.; Boland, M. A.

2016-12-01

The American Geosciences Institute (AGI) is launching a new information platform designed to link decision makers with information generated by geoscientific research. Decision makers, especially those at the state and local level, frequently need scientific information but do not always have easy access to it, while scientists create new knowledge but often lack opportunities to communicate this knowledge more broadly to the people who need it the most. Major differences in communication styles and language can also hinder the use of scientific information by decision makers. AGI is building an online portfolio of case studies and fact sheets that are based on cutting-edge research presented in a format and style that meets the needs and expectations of decision makers. Based on discussions with state and local decision makers around the country, AGI has developed a template for these products. Scientists are invited to write short (500-700-word) summaries of their research and the ways in which it provides useful tools and information to decision makers. We are particularly interested in showcasing actionable information derived from basic or applied research. Researchers are encouraged to contact AGI to discuss topics that may be an appropriate basis for case studies or fact sheets, and AGI may also contact researchers based on scientific needs identified during our discussions with decision makers. All submissions will be edited and reviewed by AGI staff and an external peer review team before being published online and made available to decision makers through AGI's Critical Issues web platform and extensive professional networks. Publicizing the results of scientific research to key legislative, regulatory, advisory, and engaged citizen groups and individuals broadens the impact of scientists' research and highlights the value and importance of the geosciences to society. By presenting the information in a format that is designed with the end-user in mind, this initiative provides a much-needed service to decision makers at all levels and serves the geoscience community by increasing the distribution and dissemination of research findings. We will discuss early results and challenges from this program, and feedback from state and local decision makers.

ENVIRONMENTAL PLANNING FOR SMALL COMMUNITIES: A GUIDE FOR LOCAL DECISION-MAKERS

EPA Science Inventory

Environmental Planning for Small Communities - A Guide for Local Decision-Makers presents a process for creating and implementing a community environmental plan. With a comprehensive environmental plan, local decision-makers can create an integrated approach to protecting the env...

[The Intentions Affecting the Medical Decision-Making Behavior of Surrogate Decision Makers of Critically Ill Patients and Related Factors].

PubMed

Su, Szu-Huei; Wu, Li-Min

2018-04-01

The severity of diseases and high mortality rates that typify the intensive care unit often make it difficult for surrogate decision makers to make decisions for critically ill patients regarding whether to continue medical treatments or to accept palliative care. To explore the behavioral intentions that underlie the medical decisions of surrogate decision makers of critically ill patients and the related factors. A cross-sectional, correlation study design was used. A total of 193 surrogate decision makers from six ICUs in a medical center in southern Taiwan were enrolled as participants. Three structured questionnaires were used, including a demographic datasheet, the Family Relationship Scale, and the Behavioral Intention of Medical Decisions Scale. Significantly positive correlations were found between the behavioral intentions underlying medical decisions and the following variables: the relationship of the participant to the patient (Eta = .343, p = .020), the age of the patient (r = .295, p < .01), and whether the patient had signed a currently valid advance healthcare directive (Eta = .223, p = .002). Furthermore, a significantly negative correlation was found between these intentions and length of stay in the ICU (r = -.263, p < .01). Patient age, whether the patient had signed a currently valid advance healthcare directive, and length of stay in the ICU were all predictive factors for the behavioral intentions underlying the medical decisions of the surrogate decision makers, explaining 13.9% of the total variance. In assessing the behavioral intentions underlying the medical decisions of surrogate decision makers, health providers should consider the relationship between critical patients and their surrogate decision makers, patient age, the length of ICU stay, and whether the patient has a pre-signed advance healthcare directive in order to maximize the effectiveness of medical care provided to critically ill patients.

Targeting Continuing Medical Education on Decision Makers: Who Decides to Transfuse Blood?

ERIC Educational Resources Information Center

Goodnough, Lawrence T.; And Others

1992-01-01

Staff communication patterns were observed during 13 open-heart surgeries to identify the transfusion decision makers. It was determined that targeting decision makers for continuing medical education would improve the quality of transfusion practice and increase the efficiency of continuing education. (SK)

Energy-Water Nexus: Balancing the Tradeoffs between Two-Level Decision Makers

DOE PAGES

Zhang, Xiaodong; Vesselinov, Velimir Valentinov

2016-09-03

Energy-water nexus has substantially increased importance in the recent years. Synergistic approaches based on systems-analysis and mathematical models are critical for helping decision makers better understand the interrelationships and tradeoffs between energy and water. In energywater nexus management, various decision makers with different goals and preferences, which are often conflicting, are involved. These decision makers may have different controlling power over the management objectives and the decisions. They make decisions sequentially from the upper level to the lower level, challenging decision making in energy-water nexus. In order to address such planning issues, a bi-level decision model is developed, which improvesmore » upon the existing studies by integration of bi-level programming into energy-water nexus management. The developed model represents a methodological contribution to the challenge of sequential decisionmaking in energy-water nexus through provision of an integrated modeling framework/tool. An interactive fuzzy optimization methodology is introduced to seek a satisfactory solution to meet the overall satisfaction of the two-level decision makers. The tradeoffs between the two-level decision makers in energy-water nexus management are effectively addressed and quantified. Application of the proposed model to a synthetic example problem has demonstrated its applicability in practical energy-water nexus management. Optimal solutions for electricity generation, fuel supply, water supply including groundwater, surface water and recycled water, capacity expansion of the power plants, and GHG emission control are generated. In conclusion, these analyses are capable of helping decision makers or stakeholders adjust their tolerances to make informed decisions to achieve the overall satisfaction of energy-water nexus management where bi-level sequential decision making process is involved.« less

Energy-Water Nexus: Balancing the Tradeoffs between Two-Level Decision Makers

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhang, Xiaodong; Vesselinov, Velimir Valentinov

Energy-water nexus has substantially increased importance in the recent years. Synergistic approaches based on systems-analysis and mathematical models are critical for helping decision makers better understand the interrelationships and tradeoffs between energy and water. In energywater nexus management, various decision makers with different goals and preferences, which are often conflicting, are involved. These decision makers may have different controlling power over the management objectives and the decisions. They make decisions sequentially from the upper level to the lower level, challenging decision making in energy-water nexus. In order to address such planning issues, a bi-level decision model is developed, which improvesmore » upon the existing studies by integration of bi-level programming into energy-water nexus management. The developed model represents a methodological contribution to the challenge of sequential decisionmaking in energy-water nexus through provision of an integrated modeling framework/tool. An interactive fuzzy optimization methodology is introduced to seek a satisfactory solution to meet the overall satisfaction of the two-level decision makers. The tradeoffs between the two-level decision makers in energy-water nexus management are effectively addressed and quantified. Application of the proposed model to a synthetic example problem has demonstrated its applicability in practical energy-water nexus management. Optimal solutions for electricity generation, fuel supply, water supply including groundwater, surface water and recycled water, capacity expansion of the power plants, and GHG emission control are generated. In conclusion, these analyses are capable of helping decision makers or stakeholders adjust their tolerances to make informed decisions to achieve the overall satisfaction of energy-water nexus management where bi-level sequential decision making process is involved.« less

Decision making in high-velocity environments: implications for healthcare.

PubMed

Stepanovich, P L; Uhrig, J D

1999-01-01

Healthcare can be considered a high-velocity environment and, as such, can benefit from research conducted in other industries regarding strategic decision making. Strategic planning is not only relevant to firms in high-velocity environments, but is also important for high performance and survival. Specifically, decision-making speed seems to be instrumental in differentiating between high and low performers; fast decision makers outperform slow decision makers. This article outlines the differences between fast and slow decision makers, identifies five paralyses that can slow decision making in healthcare, and outlines the role of a planning department in circumventing these paralyses. Executives can use the proposed planning structure to improve both the speed and quality of strategic decisions. The structure uses planning facilitators to avoid the following five paralyses: 1. Analysis. Decision makers can no longer afford the luxury of lengthy, detailed analysis but must develop real-time systems that provide appropriate, timely information. 2. Alternatives. Many alternatives (beyond the traditional two or three) need to be considered and the alternatives must be evaluated simultaneously. 3. Group Think. Decision makers must avoid limited mind-sets and autocratic leadership styles by seeking out independent, knowledgeable counselors. 4. Process. Decision makers need to resolve conflicts through "consensus with qualification," as opposed to waiting for everyone to come on board. 5. Separation. Successful implementation requires a structured process that cuts across disciplines and levels.

Information processing by networks of quantum decision makers

NASA Astrophysics Data System (ADS)

Yukalov, V. I.; Yukalova, E. P.; Sornette, D.

2018-02-01

We suggest a model of a multi-agent society of decision makers taking decisions being based on two criteria, one is the utility of the prospects and the other is the attractiveness of the considered prospects. The model is the generalization of quantum decision theory, developed earlier for single decision makers realizing one-step decisions, in two principal aspects. First, several decision makers are considered simultaneously, who interact with each other through information exchange. Second, a multistep procedure is treated, when the agents exchange information many times. Several decision makers exchanging information and forming their judgment, using quantum rules, form a kind of a quantum information network, where collective decisions develop in time as a result of information exchange. In addition to characterizing collective decisions that arise in human societies, such networks can describe dynamical processes occurring in artificial quantum intelligence composed of several parts or in a cluster of quantum computers. The practical usage of the theory is illustrated on the dynamic disjunction effect for which three quantitative predictions are made: (i) the probabilistic behavior of decision makers at the initial stage of the process is described; (ii) the decrease of the difference between the initial prospect probabilities and the related utility factors is proved; (iii) the existence of a common consensus after multiple exchange of information is predicted. The predicted numerical values are in very good agreement with empirical data.

The hydrophobic region of the DmsA twin-arginine leader peptide determines specificity with chaperone DmsD.

PubMed

Winstone, Tara M L; Tran, Vy A; Turner, Raymond J

2013-10-29

The system specific chaperone DmsD plays a role in the maturation of the catalytic subunit of dimethyl sulfoxide (DMSO) reductase, DmsA. Pre-DmsA contains a 45-amino acid twin-arginine leader peptide that is important for targeting and translocation of folded and cofactor-loaded DmsA by the twin-arginine translocase. DmsD has previously been shown to interact with the complete twin-arginine leader peptide of DmsA. In this study, isothermal titration calorimetry was used to investigate the thermodynamics of binding between synthetic peptides composed of different portions of the DmsA leader peptide and DmsD. Only those peptides that included the complete and contiguous hydrophobic region of the DmsA leader sequence were able to bind DmsD with a 1:1 stoichiometry. Each of the peptides that were able to bind DmsD also showed some α-helical structure as indicated by circular dichroism spectroscopy. Differential scanning calorimetry revealed that DmsD gained very little thermal stability upon binding any of the DmsA leader peptides tested. Together, these results suggest that a portion of the hydrophobic region of the DmsA leader peptide determines the specificity of binding and may produce helical properties upon binding to DmsD. Overall, this study demonstrates that the recognition of the DmsA twin-arginine leader sequence by the DmsD chaperone shows unexpected rules and confirms further that the biochemistry of the interaction of the chaperone with their leaders demonstrates differences in their molecular interactions.

SU-F-P-04: Implementation of Dose Monitoring Software: Successes and Pitfalls

DOE Office of Scientific and Technical Information (OSTI.GOV)

Och, J

2016-06-15

Purpose: to successfully install a dose monitoring software (DMS) application to assist in CT protocol and dose management. Methods: Upon selecting the DMS, we began our implementation of the application. A working group composed of Medical Physics, Radiology Administration, Information Technology, and CT technologists was formed. On-site training in the application was supplied by the vendor. The decision was made to apply the process for all the CT protocols on all platforms at all facilities. Protocols were painstakingly mapped to the correct masters, and the system went ‘live’. Results: We are routinely using DMS as a tool in our Clinicalmore » Performance CT QA program. It is useful in determining the effectiveness of revisions to existing protocols, and establishing performance baselines for new units. However, the implementation was not without difficulty. We identified several pitfalls and obstacles which frustrated progress. Including: Training deficiencies, Nomenclature problems, Communication, DICOM variability. Conclusion: Dose monitoring software can be a potent tool for QA. However, implementation of the program can be problematic and requires planning, organization and commitment.« less

Information Needs Assessment for Coastal and Marine Management and Policy: Ecosystem Services Under Changing Climatic, Land Use, and Demographic Conditions.

PubMed

Goldsmith, Kaitlin A; Granek, Elise F; Lubitow, Amy

2015-12-01

Changing climatic, demographic, and land use conditions are projected to alter the provisioning of ecosystem services in estuarine, coastal, and nearshore marine ecosystems, necessitating mitigation and adaptation policies and management. The current paradigm of research efforts occurring in parallel to, rather than in collaboration with, decision makers will be insufficient for the rapid responses required to adapt to and mitigate for projected changing conditions. Here, we suggest a different paradigm: one where research begins by engaging decision makers in the identification of priority data needs (biophysical, economic, and social). This paper uses synthesized interview data to provide insight into the varied demands for scientific research as described by decision makers working on coastal issues in Oregon, USA. The findings highlight the need to recognize (1) the differing framing of ecosystem services by decision makers versus scientists; and (2) the differing data priorities relevant to inland versus coastal decision makers. The findings further serve to highlight the need for decision makers, scientists, and funders to engage in increased communication. This research is an important first step in advancing efforts toward evidence-based decision making in Oregon and provides a template for further research across the US.

A randomized comparison between league tables and funnel plots to inform health care decision-making.

PubMed

Anell, Anders; Hagberg, Oskar; Liedberg, Fredrik; Ryden, Stefan

2016-12-01

Comparison of provider performance is commonly used to inform health care decision-making. Little attention has been paid to how data presentations influence decisions. This study analyzes differences in suggested actions by decision-makers informed by league tables or funnel plots. Decision-makers were invited to a survey and randomized to compare hospital performance using either league tables or funnel plots for four different measures within the area of cancer care. For each measure, decision-makers were asked to suggest actions towards 12-16 hospitals (no action, ask for more information, intervene) and provide feedback related to whether the information provided had been useful. Swedish health care. Two hundred and twenty-one decision-makers at administrative and clinical levels. Data presentations in the form of league tables or funnel plots. Number of actions suggested by participants. Proportion of appropriate actions. For all four measures, decision-makers tended to suggest more actions based on the information provided in league tables compared to funnel plots (44% vs. 21%, P < 0.001). Actions were on average more appropriate for funnel plots. However, when using funnel plots, decision-makers more often missed to react even when appropriate. The form of data presentation had an influence on decision-making. With league tables, decision-makers tended to suggest more actions compared to funnel plots. A difference in sensitivity and specificity conditioned by the form of presentation could also be identified, with different implications depending on the purpose of comparisons. Explanations and visualization aids are needed to support appropriate actions. © The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Bridge over troubled waters: A Synthesis Session to connect ...

EPA Pesticide Factsheets

Lack of access to relevant scientific data has limited decision makers from incorporating scientific information into their management and policy schemes. Yet, there is increasing interest among decision makers and scientists to integrate coastal and marine science into the policy and management process. Strategies designed to build communication between decision makers and scientists can be an effective means to disseminate and/or generate policy relevant scientific information. Here researchers develop, test, and present a workshop model designed to bridge the gap between coastal and marine decision makers and scientists. Researchers identify successful components of such a workshop as well as areas for improvement and recommendations to design and conduct similar workshops in the future. This novel workshop format can be used in other fora to effectively connect decision makers and scientists, and to initiate an iterative process to generate and transfer policy relevant scientific information into evidence-based decisions, an important element in protecting coastal and marine resources. In this paper we develop and present a model for increasing collaboration between scientists and decision makers to promote evidence based decisions. Successes and areas for improvement in the tested model are discussed. This novel workshop model is intended to build and sustain connections, with the ultimate goal of creating better policy and management practices. In a recent

Taking off the white coat: can family members who are physicians be good surrogate decision-makers?

PubMed

Issa, Amalia M

2002-05-01

The challenges inherent in physicians treating members of their own families are well known. However, the issues related to physicians acting as surrogate decision-makers on behalf of relatives have not been addressed. The growing number of older persons will increase the need not only for healthcare resources, but also for physicians to act on behalf of incapacitated family members as surrogate decision-makers. In this paper, some of the clinical and ethical tensions evoked by physicians serving as surrogate decision-makers for family members are explored. Some recommendations for managing these tensions are suggested.

Proxy decision making and dementia: Using Construal Level Theory to analyse the thoughts of decision makers.

PubMed

Convey, Helen; Holt, Janet; Summers, Barbara

2018-07-01

This study explored the feasibility of using Construal Level Theory to analyse proxy decision maker thinking about a hypothetical ethical dilemma, relating to a person who has dementia. Proxy decision makers make decisions on behalf of individuals who are living with dementia when dementia affects that individual's decision making ability. Ethical dilemmas arise because there is a need to balance the individual's past and contemporary values and views. Understanding of how proxy decision makers respond is incomplete. Construal Level Theory contends that individuals imagine reactions and make predications about the future by crossing psychological distance. This involves abstract thinking, giving meaning to decisions. There is no empirical evidence of Construal Level Theory being used to analyse proxy decision maker thinking. Exploring the feasibility of using Construal Level Theory to understand dementia carer thinking regarding proxy decisions may provide insights which inform the support given. Descriptive qualitative research with semi-structured interviews. Seven participants were interviewed using a hypothetical dementia care scenario in February 2016. Interview transcripts were analysed for themes. Construal Level Theory was applied to analyse participant responses within themes using the Linguistic Category Model. Participants travelled across psychological distance, using abstract thinking to clarify goals and provide a basis for decisions. When thinking concretely participants established boundaries regarding the ethical dilemma. Construal Level Theory gives insight into proxy decision maker thinking and the levels of abstraction used. Understanding what dementia carers think about when making proxy decisions may help nurses to understand their perspectives and to provide appropriate support. © 2018 John Wiley & Sons Ltd.

A multicriteria decision analysis model and risk assessment framework for carbon capture and storage.

PubMed

Humphries Choptiany, John Michael; Pelot, Ronald

2014-09-01

Multicriteria decision analysis (MCDA) has been applied to various energy problems to incorporate a variety of qualitative and quantitative criteria, usually spanning environmental, social, engineering, and economic fields. MCDA and associated methods such as life-cycle assessments and cost-benefit analysis can also include risk analysis to address uncertainties in criteria estimates. One technology now being assessed to help mitigate climate change is carbon capture and storage (CCS). CCS is a new process that captures CO2 emissions from fossil-fueled power plants and injects them into geological reservoirs for storage. It presents a unique challenge to decisionmakers (DMs) due to its technical complexity, range of environmental, social, and economic impacts, variety of stakeholders, and long time spans. The authors have developed a risk assessment model using a MCDA approach for CCS decisions such as selecting between CO2 storage locations and choosing among different mitigation actions for reducing risks. The model includes uncertainty measures for several factors, utility curve representations of all variables, Monte Carlo simulation, and sensitivity analysis. This article uses a CCS scenario example to demonstrate the development and application of the model based on data derived from published articles and publicly available sources. The model allows high-level DMs to better understand project risks and the tradeoffs inherent in modern, complex energy decisions. © 2014 Society for Risk Analysis.

Attitudes of Educational Decision Makers toward AVTI Governance and the Local Tax Levy. An Independent Paper.

ERIC Educational Resources Information Center

LiaBraaten, James Clayton

A study investigated the attitudes of vocational education decision makers toward the governance of Minnesota's Area Vocational Technical Institutes (AVTIs) and the impact removal of a local tax to support the AVTIs might have on governance. Five categories of individuals, all considered vocational education decision makers, were surveyed: AVTI…

NREL's Winning Hand of Clean Transportation Tools - Continuum Magazine |

Science.gov Websites

kinds of decision makers-supplying resources for fleets to reduce petroleum use or an individual warehouse that offers invaluable information to decision makers, such as city planners, to help them with ;The TSDC provided useful data for decision-makers. And the state passed what will be a $65 million

Forensic issues in medical evaluation: competency and end-of-life issues.

PubMed

Soliman, Sherif; Hall, Ryan C W

2015-01-01

Decision-making capacity is a common reason for psychiatric consultation that is likely to become more common as the population ages. Capacity assessments are frequently compromised by misconceptions, such as the belief that incapacity is permanent or that patients with dementia categorically lack capacity. This chapter will review the conceptual framework of decision-making capacity and discuss its application to medical decision-making. We will review selected developments in capacity assessment and recommend an approach to assessing decision-making capacity. We will discuss the unique challenges posed by end-of-life care, including determining capacity, identifying surrogate decision-makers, and working with surrogate decision-makers. We will discuss clinical and legal approaches to incapacity, including advance directives, surrogate decision-makers, and guardians. We will discuss the legal standards based on which surrogates make medical decisions and outline options for resolving disagreements between clinical staff and surrogate decision-makers. We will offer recommendations for approaching decision-making capacity assessments. © 2015 S. Karger AG, Basel.

Coping Strategies and Posttraumatic Stress Symptoms in Post-ICU Family Decision Makers.

PubMed

Petrinec, Amy B; Mazanec, Polly M; Burant, Christopher J; Hoffer, Alan; Daly, Barbara J

2015-06-01

To assess the coping strategies used by family decision makers of adult critical care patients during and after the critical care experience and the relationship of coping strategies to posttraumatic stress symptoms experienced 60 days after hospitalization. A single-group descriptive longitudinal correlational study. Medical, surgical, and neurological ICUs in a large tertiary care university hospital. Consecutive family decision makers of adult critical care patients from August 2012 to November 2013. Study inclusion occurred after the patient's fifth day in the ICU. None. Family decision makers of incapacitated adult ICU patients completed the Brief COPE instrument assessing coping strategy use 5 days after ICU admission and 30 days after hospital discharge or death of the patient and completed the Impact of Event Scale-Revised assessing posttraumatic stress symptoms 60 days after hospital discharge. Seventy-seven family decision makers of the eligible 176 completed all data collection time points of this study. The use of problem-focused (p=0.01) and emotion-focused (p<0.01) coping decreased over time while avoidant coping (p=0.20) use remained stable. Coping strategies 30 days after hospitalization (R2=0.50, p<0.001) were better predictors of later posttraumatic stress symptoms than coping strategies 5 days after ICU admission (R2=0.30, p=0.001) controlling for patient and decision-maker characteristics. The role of decision maker for a parent and patient death were the only noncoping predictors of posttraumatic stress symptoms. Avoidant coping use 30 days after hospitalization mediated the relationship between patient death and later posttraumatic stress symptom severity. Coping strategy use is a significant predictor of posttraumatic stress symptom severity 60 days after hospitalization in family decision makers of ICU patients.

Linking decision-making research and cancer prevention and control: important themes.

PubMed

McCaul, Kevin D; Peters, Ellen; Nelson, Wendy; Stefanek, Michael

2005-07-01

This article describes 6 themes underlying the multiple presentations from the Basic and Applied Decision Making in Cancer Control meeting, held February 19-20, 2004. The following themes have important implications for research and practice linking basic decision-making research to cancer prevention and control: (a) Traditional decision-making theories fail to capture real-world decision making, (b) decision makers are often unable to predict future preferences, (c) preferences are often constructed on the spot and thus are influenced by situational cues, (d) decision makers often rely on feelings rather than beliefs when making a decision, (e) the perspective of the decision maker is critical in determining preferences, and (f) informed decision making may--or may not--yield the best decisions.

Defining decision making: a qualitative study of international experts' views on surgical trainee decision making.

PubMed

Rennie, Sarah C; van Rij, Andre M; Jaye, Chrystal; Hall, Katherine H

2011-06-01

Decision making is a key competency of surgeons; however, how best to assess decisions and decision makers is not clearly established. The aim of the present study was to identify criteria that inform judgments about surgical trainees' decision-making skills. A qualitative free text web-based survey was distributed to recognized international experts in Surgery, Medical Education, and Cognitive Research. Half the participants were asked to identify features of good decisions, characteristics of good decision makers, and essential factors for developing good decision-making skills. The other half were asked to consider these areas in relation to poor decision making. Template analysis of free text responses was performed. Twenty-nine (52%) experts responded to the survey, identifying 13 categories for judging a decision and 14 for judging a decision maker. Twelve features/characteristics overlapped (considered, informed, well timed, aware of limitations, communicated, knowledgeable, collaborative, patient-focused, flexible, able to act on the decision, evidence-based, and coherent). Fifteen categories were generated for essential factors leading to development of decision-making skills that fall into three major themes (personal qualities, training, and culture). The categories compiled from the perspectives of good/poor were predominantly the inverse of each other; however, the weighting given to some categories varied. This study provides criteria described by experts when considering surgical decisions, decision makers, and development of decision-making skills. It proposes a working definition of a good decision maker. Understanding these criteria will enable clinical teachers to better recognize and encourage good decision-making skills and identify poor decision-making skills for remediation.

The current capacity and future development of economic evaluation for policy decision-making: a survey among researchers and decision-makers in Thailand.

PubMed

Chaikledkaew, Usa; Lertpitakpong, Chanida; Teerawattananon, Yot; Thavorncharoensap, Montarat; Tangcharoensathien, Viroj

2009-01-01

This study aims to explore the knowledge, experience, and attitudes toward economic evaluation (EE) among decision-makers and researchers in Thailand. Researchers were purposively selected from Thai academics and both public and private research organizations related to EE. Decision-makers at the provincial level were purposively selected from the members of the Management Committees of Provincial Health Offices, and those at hospital level were randomly selected from members of the public and private hospital formulary drug committees throughout Thailand. The self-administered postal questionnaires were distributed. Univariate and bivariate analyses were applied. Of the total 2575 questionnaires distributed, 758 (29.4% response rate) were completed and sent back. The majority of researchers and decision-makers were not familiar with technical terms commonly used in health EE, e.g., incremental cost-effectiveness ratio, discounting, and sensitivity analysis. More decision-makers (70.6%) had never had EE training compared to researchers (50.0%). Both roles indicated that value for money was one of the important issues to consider for health technology adoption. An extensive unmet demand for EE training among Thai researchers and decision-makers still exists. Findings from this study contribute to the short- and long-term plans for research capacity building.

Fuzzy bilevel programming with multiple non-cooperative followers: model, algorithm and application

NASA Astrophysics Data System (ADS)

Ke, Hua; Huang, Hu; Ralescu, Dan A.; Wang, Lei

2016-04-01

In centralized decision problems, it is not complicated for decision-makers to make modelling technique selections under uncertainty. When a decentralized decision problem is considered, however, choosing appropriate models is no longer easy due to the difficulty in estimating the other decision-makers' inconclusive decision criteria. These decision criteria may vary with different decision-makers because of their special risk tolerances and management requirements. Considering the general differences among the decision-makers in decentralized systems, we propose a general framework of fuzzy bilevel programming including hybrid models (integrated with different modelling methods in different levels). Specially, we discuss two of these models which may have wide applications in many fields. Furthermore, we apply the proposed two models to formulate a pricing decision problem in a decentralized supply chain with fuzzy coefficients. In order to solve these models, a hybrid intelligent algorithm integrating fuzzy simulation, neural network and particle swarm optimization based on penalty function approach is designed. Some suggestions on the applications of these models are also presented.

Dermal CD14(+) Dendritic Cell and Macrophage Infection by Dengue Virus Is Stimulated by Interleukin-4.

PubMed

Schaeffer, Evelyne; Flacher, Vincent; Papageorgiou, Vasiliki; Decossas, Marion; Fauny, Jean-Daniel; Krämer, Melanie; Mueller, Christopher G

2015-07-01

Dengue virus (DENV) is responsible for the most prevalent arthropod-borne viral infection in humans. Events decisive for disease development occur in the skin after virus inoculation by the mosquito. Yet, the role of human dermis-resident immune cells in dengue infection and disease remains elusive. Here we investigated how dermal dendritic cells (dDCs) and macrophages (dMs) react to DENV and impact on immunopathology. We show that both CD1c(+) and CD14(+) dDC subsets were infected, but viral load greatly increased in CD14(+) dDCs upon IL-4 stimulation, which correlated with upregulation of virus-binding lectins Dendritic Cell-Specific Intercellular adhesion molecule-3-Grabbing Nonintegrin (DC-SIGN/CD209) and mannose receptor (CD206). IL-4 also enhanced T-cell activation by dDCs, which was further increased upon dengue infection. dMs purified from digested dermis were initially poorly infected but actively replicated the virus and produced TNF-α upon lectin upregulation in response to IL-4. DC-SIGN(+) cells are abundant in inflammatory skin with scabies infection or Th2-type dermatitis, suggesting that skin reactions to mosquito bites heighten the risk of infection and subsequent immunopathology. Our data identify dDCs and dMs as primary arbovirus target cells in humans and suggest that dDCs initiate a potent virus-directed T-cell response, whereas dMs fuel the inflammatory cascade characteristic of dengue fever.

A regret theory approach to decision curve analysis: a novel method for eliciting decision makers' preferences and decision-making.

PubMed

Tsalatsanis, Athanasios; Hozo, Iztok; Vickers, Andrew; Djulbegovic, Benjamin

2010-09-16

Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat) vs. "commissions" (e.g. treating unnecessary) and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may be intuitively more appealing to a decision-maker, particularly in those clinical situations when the best management option is the one associated with the least amount of regret (e.g. diagnosis and treatment of advanced cancer, etc).

A regret theory approach to decision curve analysis: A novel method for eliciting decision makers' preferences and decision-making

PubMed Central

2010-01-01

Background Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. Methods First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. Results We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat) vs. "commissions" (e.g. treating unnecessary) and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. Conclusions We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may be intuitively more appealing to a decision-maker, particularly in those clinical situations when the best management option is the one associated with the least amount of regret (e.g. diagnosis and treatment of advanced cancer, etc). PMID:20846413

Communication with U.S. federal decision makers : a primer with notes on the use of computer models as a means of communication.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Webb, Erik Karl; Tidwell, Vincent Carroll

2009-10-01

This document outlines ways to more effectively communicate with U.S. Federal decision makers by outlining the structure, authority, and motivations of various Federal groups, how to find the trusted advisors, and how to structure communication. All three branches of Federal governments have decision makers engaged in resolving major policy issues. The Legislative Branch (Congress) negotiates the authority and the resources that can be used by the Executive Branch. The Executive Branch has some latitude in implementation and prioritizing resources. The Judicial Branch resolves disputes. The goal of all decision makers is to choose and implement the option that best fitsmore » the needs and wants of the community. However, understanding the risk of technical, political and/or financial infeasibility and possible unintended consequences is extremely difficult. Primarily, decision makers are supported in their deliberations by trusted advisors who engage in the analysis of options as well as the day-to-day tasks associated with multi-party negotiations. In the best case, the trusted advisors use many sources of information to inform the process including the opinion of experts and if possible predictive analysis from which they can evaluate the projected consequences of their decisions. The paper covers the following: (1) Understanding Executive and Legislative decision makers - What can these decision makers do? (2) Finding the target audience - Who are the internal and external trusted advisors? (3) Packaging the message - How do we parse and integrate information, and how do we use computer simulation or models in policy communication?« less

Research Using In Vivo Simulation of Meta-Organizational Shared Decision Making (SDM). Task 3: Testing the Shared Decision Making Framework in Vivo

DTIC Science & Technology

2011-12-01

developed to address the two main research questions (see Annex A). Exact wording of the questions varied during interviews to accommodate the...centre at DMS 3rd floor. All electronic files (including digital audio and video recordings) with participant data are being encrypted and password...locked filing cabinet at the University of Ottawa. Electronic files will remain encrypted, password protected and stored on a server to which only the

Health decision-making preferences among African American men recruited from urban barbershops.

PubMed

Hart, Alton; Smith, Wally R; Tademy, Raymond H; McClish, Donna K; McCreary, Micah

2009-07-01

To examine general health decision-making roles among African American men ages 40 to 70 recruited in barbershops in the Richmond, Virginia, metropolitan area. We adapted the 1-item Control Preference scale to study the associations between health decision-making role preferences and demographic variables. Forty African-American men were recruited from barbershops to complete a self-administered survey. After performing descriptive statistics, we dichotomized our outcome into active vs nonactive (collaborative or passive) decision makers. Data were then analyzed using chi2, Wilcoxon-Mann-Whitney rank sum, and multiple logistic regression. Fifteen subjects responded that they engaged in active decision making, 20 in collaborative, and 5 in passive decision making. Almost all (86.7%) active decision makers were home owners, vs 41.7% of nonactive decision makers. Among active decision makers, 46.7% had incomes of more than $70000, vs 12.5% of nonactive decision makers. The active group reported health status that was good to excellent, while 20.8% of those in the nonactive group reported poor/fair health. African American male barbershop clients preferred an active or collaborative health decision-making role with their physician, rather than a passive role. The relationship among home ownership, income, and decision style may best be understood by considering the historical and cultural influences on gender role socialization among African American males. More comprehensive assessment of decision styles is necessary to better understand health decision making among African American male patients.

Investigation of a Brownfield Conflict Considering the Strength of Preferences

PubMed Central

Yu, Jing; Pei, Ling-Ling

2018-01-01

By employing the Graph Model for Conflict Resolution methodology, this paper models and analyzes a brownfield conflict that occurred at the Changzhou Foreign Language School in Jiangsu, China, in 2016. This conflict made national headlines when news reports revealed that a large number of students and staff suffered from health issues after the school moved to a new site that is built on recently restored land adjacent to the original “Chang Long Chemical” block. Since stakeholders in the conflict hold different strengths of preference, a new option prioritization technique is employed to elicit both crisp preferences and the strength of preferences for the decision-makers (DMs) in the conflict. The conflict analysis result is consistent with the actual trajectory of the conflict and provides strategic insights into the conflict. More specifically, equilibrium results suggest that the firm should have been required to thoroughly clean the site, the local government should not have relocated the school, and the environmental agency and other stakeholders should have closely monitored the firm’s activities. In short, strategic insights garnered from this case study indicate that positive interactions should be fostered among the local government, the enterprise, and the public to ensure sustainable brownfield land redevelopment in the future. PMID:29495314

The medical decision model and decision maker tools for management of radiological and nuclear incidents.

PubMed

Koerner, John F; Coleman, C Norman; Murrain-Hill, Paula; FitzGerald, Denis J; Sullivan, Julie M

2014-06-01

Effective decision making during a rapidly evolving emergency such as a radiological or nuclear incident requires timely interim decisions and communications from onsite decision makers while further data processing, consultation, and review are ongoing by reachback experts. The authors have recently proposed a medical decision model for use during a radiological or nuclear disaster, which is similar in concept to that used in medical care, especially when delay in action can have disastrous effects. For decision makers to function most effectively during a complex response, they require access to onsite subject matter experts who can provide information, recommendations, and participate in public communication efforts. However, in the time before this expertise is available or during the planning phase, just-in-time tools are essential that provide critical overview of the subject matter written specifically for the decision makers. Recognizing the complexity of the science, risk assessment, and multitude of potential response assets that will be required after a nuclear incident, the Office of the Assistant Secretary for Preparedness and Response, in collaboration with other government and non-government experts, has prepared a practical guide for decision makers. This paper illustrates how the medical decision model process could facilitate onsite decision making that includes using the deliberative reachback process from science and policy experts and describes the tools now available to facilitate timely and effective incident management.

How is the New Public Management applied in the occupational health care system? - decision-makers' and OH personnel's views in Finland

PubMed Central

2011-01-01

Background In many countries occupational health care system is in change. Occupational health studies are mainly focused on occupational health substance and content. This study offers new perspectives on municipal OHS and its operations from management perspective. Aim The aim of this study is to analyse how New Public Management (NPM) doctrines are applied in the Finnish occupational health care system (OHS). The main focus is to describe and compare the views of decision-makers' and OH workers within the framework of NPM. Methods The data were collected by semi-structured interviews from 17 municipal decision-makers' and 26 municipal OH workers. Data was analyzed by examining coded data in a theory-driven way according to Hood's doctrine of NPM. Results The doctrines were not as compatible with the OH personnel view as with the decision-makers' view. Decision-makers and OH personnel highlighted the strict criteria required for operation evaluation. Moreover, decision-makers strongly accentuated professional management in the public sector and the reorganization of public sector units. These were not equally relevant in OH personnel views. In OH personnel views, other doctrines (more attention to performance and accomplishments, emphasizing and augmentation of the competition and better control of public expense and means test) were not similarly in evidence, only weak evidence was observed when their importance viewed as medium by decision-makers. Neither of the respondents group kept the doctrine of management models of the private sector relevant. Conclusions The NPM and Hoods doctrine fitted well with OH research. The doctrine brought out view differences and similarities between decision-makers and OH personnel. For example, policymakers highlighted more strongly the structural change by emphasizing professional management compared to OH personnel. The need for reorganization of municipal OH, regardless of different operational preconditions, was obvious for both decision-makers and OH personnel. The adaptation of more clarify management to a municipal context is not trouble-free. The municipality systemic structure, complex operational environment, and reconciliation of political and officer authority set challenges to management of municipalities. PMID:21880141

A meta-analysis of oceanic DMS and DMSP cycling processes: Disentangling the summer paradox

NASA Astrophysics Data System (ADS)

Galí, Martí; Simó, Rafel

2015-04-01

The biogenic volatile compound dimethylsulfide (DMS) is produced in the ocean mainly from the ubiquitous phytoplankton osmolyte dimethylsulfoniopropionate (DMSP). In the upper mixed layer, DMS concentration and the daily averaged solar irradiance are roughly proportional across latitudes and seasons. This translates into a seasonal mismatch between DMS and phytoplankton biomass at low latitudes, termed the "DMS summer paradox," which remains difficult to reproduce with biogeochemical models. Here we report on a global meta-analysis of DMSP and DMS cycling processes and their relationship to environmental factors. We show that DMS seasonality reflects progressive changes in a short-term dynamic equilibrium, set by the quotient between gross DMS production rates and the sum of biotic and abiotic DMS consumption rate constants. Gross DMS production is the principal driver of DMS seasonality, due to the synergistic increases toward summer in two of its underlying factors: phytoplankton DMSP content (linked to species succession) and short-term community DMSP-to-DMS conversion yields (linked to physiological stress). We also show that particulate DMSP transformations (linked to grazing-induced phytoplankton mortality) generally contribute a larger share of gross DMS production than dissolved-phase DMSP metabolism. The summer paradox is amplified by a decrease in microbial DMS consumption rate constants toward summer. However, this effect is partially compensated by a concomitant increase in abiotic DMS loss rate constants. Besides seasonality, we identify consistent covariation between key sulfur cycling variables and trophic status. These findings should improve the modeling projections of the main natural source of climatically active atmospheric sulfur.

Decision Theory and the Governance of Technology.

ERIC Educational Resources Information Center

Woodhouse, Edward J.

1987-01-01

Provides an overview of the decision making process for science and technology. Finds that government agencies and officials are not the major decision makers. Examines obstacles to achieving intelligent decisions when policy makers are scientists, business executives, and consumers. Concludes with five strategies for improving technological…

Constructing Perceptions of Climate Change: a case study of regional political decision makers

NASA Astrophysics Data System (ADS)

Bray, D.

2012-12-01

This case study of climate change communications assesses the salient means of communication and the message adopted by regional political decision makers on the German Baltic coast. Realizing that cultural factors and local values (and not simply knowledge) are significant influences in explaining attitudes towards climate change, this analysis draws from the records of regional weather, from scientists with a specific focus on the region, from the political decision makers for that region, and the media message reaching the decision makers, ensuring all elements of the analysis are drawn from the same socioeconomic, geophysical, political and cultural context. This is important as the social dynamics surrounding the trust in science is of critical importance and, as such, all elements of the case study are specifically contained within a common context. If the utility of climate change knowledge is to prompt well conceived adaptation/mitigation strategies then the political decision process, or at least the perceptions shaping it, can best be understood by locating it within the world view of the decision makers involved in the production process. Using the results of two survey questionnaires, one of regional climate scientists and one of regional political decision makers, ten years of local weather records, and a summary of the message from mass media circulation, the discord in perceptions of regional climate change are quantitatively explored. The conclusions drawn from the analysis include, compared to the scientific assessment: The decision makers' perceptions of recent past differ from actual observations. The decision makers' perceptions of the future differ from scientific assessments. The decision makers tend to over estimate the magnitude of regional climate change and its impacts. The decision makers tend to over estimate the sense of immediacy for adaptation measures. The conclusions drawn suggest that in the regional political realm, it is often a social construction of climate change, not scientific claims, that are shaping decisions. While certainty is the common demand of those charged with making decisions concerning climate change, certainty is the quality that seems to be given least value in taking action. Weather records are all but ignored. The direct voice of scientists was heeded but not fully accepted. In the transition, the truth-to-power model appears to be somewhat modified, whereby power states that the future will be different, but the difference is determined by other sources; shaping images of risk and danger. One could not deny that climate and sea level have always been forces shaping patterns of human settlement. And one could not deny that perhaps the time is nigh to reassess the human relationship with nature. However, any measure considered should be done so with a rational sense of objectivity. To do otherwise, there is the risk of misallocating scare resources.

Consulting as a Strategy for Knowledge Transfer

PubMed Central

Jacobson, Nora; Butterill, Dale; Goering, Paula

2005-01-01

Academic researchers who work on health policy and health services are expected to transfer knowledge to decision makers. Decision makers often do not, however, regard academics’ traditional ways of doing research and disseminating their findings as relevant or useful. This article argues that consulting can be a strategy for transferring knowledge between researchers and decision makers and is effective at promoting the “enlightenment” and “interactive” models of knowledge use. Based on three case studies, it develops a model of knowledge transfer–focused consulting that consists of six stages and four types of work. Finally, the article explores how knowledge is generated in consulting and identifies several classes of factors facilitating its use by decision makers. PMID:15960773

Economic evaluations of health technologies in Dutch healthcare decision-making: a qualitative study of the current and potential use, barriers, and facilitators.

PubMed

Roseboom, Kitty J; van Dongen, Johanna M; Tompa, Emile; van Tulder, Maurits W; Bosmans, Judith E

2017-01-26

The use of economic evaluations in healthcare decision-making can potentially help decision-makers in allocating scarce resources as efficiently as possible. Over a decade ago, the use of such studies was found to be limited in Dutch healthcare decision-making, but their current use is unknown. Therefore, this study aimed to provide insight into the current and potential use of economic evaluations in Dutch healthcare decision-making and to identify barriers and facilitators to the use of such studies. Interviews containing semi-structured and structured questions were conducted among Dutch healthcare decision-makers. Participants were purposefully selected and special efforts were made to include decision-makers working at the macro- (national), meso- (local/regional), and micro-level (patient setting). During the interviews, a topic list was used that was based on the research questions and a literature search, and was developed in consultation with the Dutch National Healthcare Institute. Responses to the semi-structured questions were analyzed using a constant comparative approach. As for the structured questions, participants' definitions of various economic evaluation concepts were scored as either being "correct" or "incorrect" by two researchers, and summary statistics were prepared. Sixteen healthcare decision-makers were interviewed and two health economists. Decision-makers' knowledge of economic evaluations was only modest, and their current use appeared to be limited. Nonetheless, decision-makers recognized the importance of economic evaluations and saw several opportunities for extending their use at the macro- and meso-level, but not at the micro-level. The disparity between the limited use and recognition of the importance of economic evaluations is likely due to the many barriers decision-makers experience preventing their use (e.g. lack of resources, lack of formal willingness-to-pay threshold). Possible facilitators for extending the use of economic evaluations include, amongst others, educating decision-makers and the general population about economic evaluations and presenting economic evaluation results in a clearer and more understandable way. This study demonstrated that the current use and impact of economic evaluations in Dutch healthcare decision-making is limited at best. Therefore, strategies are needed to overcome the barriers that currently prevent economic evaluations from being used extensively.

Biogeochemistry of dimethylsulfide in a seasonally stratified coastal salt pond

NASA Technical Reports Server (NTRS)

Wakeham, S. G.; Howes, B. L.; Dacey, J. W. H.; Schwarzenbach, R. P.; Zeyer, J.

1987-01-01

Dimethylsulfide (DMS) is the major volatile reduced organic sulfur compound in the water column of coastal Salt Pond, Cape Cod, MA. DMS concentration and vertical distributions vary seasonally in response to changing biogeochemical processes in the pond. When the pond is thermally stratified in summer, maximum DMS concentrations of up to 60 nmol/l were found in the oxygen-deficient metalimnion. DMS concentrations in the epilimnion (typically 5-10 nmol/l) were always an order of magnitude higher than in the hypolimnion (less than 0.2 nmol/l). The most likely precursor for DMS is algal dimethylsulfoniopropionate (DMSP), which showed vertical profiles similar to those of DMS. Laboratory experiments show that microorganisms in the pond, especially in the metalimnion, are capable of decomposing DMSP to DMS, while photosynthetic sulfur bacteria in the hypolimnion can consume DMS. Estimates of DMS production and consumption in Salt Pond have been made, considering production of DMS in the epilimnion and metalimnion and removal of DMS via gas exchange to the atmosphere, tidal exchange, and microbial consumption in the hypolimnion.

Use of modified Delphi to plan knowledge translation for decision makers: an application in the field of advanced practice nursing.

PubMed

Carter, Nancy; Lavis, John N; MacDonald-Rencz, Sandra

2014-01-01

Disseminating research to decision makers is difficult. Interaction between researchers and decision makers can identify key messages and processes for dissemination. To gain agreement on the key findings from a synthesis on the integration of advanced practice nurses, we used a modified Delphi process. Nursing decision makers contributed ideas via e-mail, discussed and clarified ideas face to face, and then prioritized statements. Sixteen (89%) participated and 14 (77%) completed the final phase. Priority key messages were around access to care and outcomes. The majority identified "NPs increase access to care" and "NPs and CNSs improve patient and system outcomes" as priority messaging statements. Participants agreed policy makers and the public were target audiences for messages. Consulting with policy makers provided the necessary context to develop tailored policy messages and is a helpful approach for research dissemination. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Identifying Decision-Makers’ Science Needs for Adaptation to Climate-Related Impacts on Forest Ecosystem Services

NASA Astrophysics Data System (ADS)

Gordon, E.; Lukas, J.

2009-12-01

Through the Western Water Assessment RISA program, we are conducting a research project that will produce science synthesis information to help local, state, and federal decision-makers in Colorado and Wyoming develop adaptation strategies to deal with climate-related threats to forest ecosystem services, in particular bark beetle infestations and stand-replacing wildfires. We begin by using the problem orientation framework, a policy sciences methodology, to understand how decision-makers can most effectively address policy problems that threaten the attainment of socially accepted goals. By applying this framework to the challenges facing decision-makers, we more accurately identify specific areas where scientific research can improve decision-making. WWA researchers will next begin to connect decision-makers with relevant scientific literature and identify specific areas of future scientific research that will be most effective at addressing their needs.

A robust optimization model for distribution and evacuation in the disaster response phase

NASA Astrophysics Data System (ADS)

Fereiduni, Meysam; Shahanaghi, Kamran

2017-03-01

Natural disasters, such as earthquakes, affect thousands of people and can cause enormous financial loss. Therefore, an efficient response immediately following a natural disaster is vital to minimize the aforementioned negative effects. This research paper presents a network design model for humanitarian logistics which will assist in location and allocation decisions for multiple disaster periods. At first, a single-objective optimization model is presented that addresses the response phase of disaster management. This model will help the decision makers to make the most optimal choices in regard to location, allocation, and evacuation simultaneously. The proposed model also considers emergency tents as temporary medical centers. To cope with the uncertainty and dynamic nature of disasters, and their consequences, our multi-period robust model considers the values of critical input data in a set of various scenarios. Second, because of probable disruption in the distribution infrastructure (such as bridges), the Monte Carlo simulation is used for generating related random numbers and different scenarios; the p-robust approach is utilized to formulate the new network. The p-robust approach can predict possible damages along pathways and among relief bases. We render a case study of our robust optimization approach for Tehran's plausible earthquake in region 1. Sensitivity analysis' experiments are proposed to explore the effects of various problem parameters. These experiments will give managerial insights and can guide DMs under a variety of conditions. Then, the performances of the "robust optimization" approach and the "p-robust optimization" approach are evaluated. Intriguing results and practical insights are demonstrated by our analysis on this comparison.

Intelligence Failure: How a Commander Can Prevent It

DTIC Science & Technology

2009-10-23

Failure: How a Commander Can Prevent It The job of intelligence is to provide the decision maker with sufficient understanding of the enemy to make...Failure: How a Commander Can Prevent It The job of intelligence is to provide the decision maker with sufficient understanding of the enemy to make...reinforce these lessons. 1 Introduction The job of intelligence is to provide the decision maker with sufficient understanding of

A Case History of the Science and Management Collaboration in Understanding Hypoxia Events in Long Bay, South Carolina, USA

NASA Astrophysics Data System (ADS)

Sanger, Denise; Hernandez, Debra; Libes, Susan; Voulgaris, George; Davis, Braxton; Smith, Erik; Shuford, Rebecca; Porter, Dwayne; Koepfler, Eric; Bennett, Joseph

2010-09-01

Communication of knowledge between the scientific and management communities is a difficult process complicated by the distinctive nature of professional career goals of scientists and decision-makers. This article provides a case history highlighting a collaboration between the science and management communities that resulted from a response to a 2004 hypoxia, or low dissolved oxygen, event in Long Bay, off Myrtle Beach, South Carolina. A working group of scientists and decision-makers was established at the time of the event and has continued to interact to develop a firm understanding of the drivers responsible for hypoxia formation in Long Bay. Several factors were found to be important to ensure that these collaborative efforts were productive: (1) genuine interest in collaboratively working across disciplines to examine a problem; (2) commitment by agency leadership, decision-makers, and researchers to create successful communication mechanisms; (3) respect for each others’ perspectives and an understanding how science and management are performed and that they are not mutually exclusive; (4) networking among researchers and decision-makers to ensure appropriate team members are involved in the process; (5) use of decision-maker input in the formulation of research and monitoring projects; and (6) commitment of resources for facilitation to ensure that researchers and decision-makers are communicating effectively.

Combining communication technology utilization and organizational innovation: evidence from Canadian healthcare decision makers.

PubMed

Jbilou, Jalila; Landry, Réjean; Amara, Nabil; El Adlouni, Salaheddine

2009-08-01

Information and Communication Technology (ICT) and Organizational Innovation (OI) are seen as the miracle of post-modernity in organizations. In this way, they are supposed to resolve most organizational problems, efficiently and rapidly. OI is highly dependent on the capacity and the investment in knowledge management (internal and external) to support decision making process and to implement significant changes. We know what explains ICT utilization (ICTU) and what determines OI development (OID) in healthcare services. Moreover, the literature tends to link ICTU to OID and vice versa. However, this dependency has never been explored empirically through the lens of roles combination. To identify the existing combined roles profiles of ICTU and OID among healthcare decision makers and determine factors of the shift from a profile to another. We did the following: (1) a structured review of the literature on healthcare management by focusing on ICTU and OID which allowed us to build two indexes and a comprehensive framework; (2) a copula methodology to identify with high precision the thresholds for ICTU and OID; and (3) a cross-sectional study based on a survey done with a sample of 942 decision makers from Canadian healthcare organizations through a multinomial logit model to identify determinants of the shift. ICTU and OID are correlated at 22% (Kendal's Tau). The joint distribution (combination) of ICTU and OID shows that four major profiles exist among decision makers in Canadian healthcare organizations: the traditional decision maker, the innovative decision maker, the technologic decision maker and the contemporary decision maker. We found out that classic factors act as barriers to the shift from one profile to the desired profile (from 1 to 4, from 2 to 4 and from 3 to 4). We have identified that the attitude toward research and relational capital are transversal barriers of shift. We have also found that some factors have a specific impact such as engaging in activities of research acquisition, the administrative position (being a manager), the preference for applied research results as source of information, the degree of novelty of research results, and the gender. Modern Canadian healthcare organizations need contemporary decision makers who use ICT and develop OI, if performance is the target. Our results let us suggest that the isolated administrative agents profile is no more effective in a dynamic and changing world. Contemporary decision makers need to be more active intellectually and to take risks in their decisions. Relying exclusively on research results and on their social network is no more helpful for a real shift. Moreover, the traditional factors, i.e. organization size, time, experience ... are no more effective, especially when we consider combined roles. We propose some practical and theoretical recommendations to support these changes.

Parents and end-of-life decision-making for their child: roles and responsibilities.

PubMed

Sullivan, Jane; Gillam, Lynn; Monagle, Paul

2015-09-01

Whether parents want to be and should be the decision-maker for their child in end-of-life matters are contested clinical and ethical questions. Previous research outcomes are equivocal. A qualitative interview method was used to examine the views and experiences of 25 bereaved parents in end-of-life decision-making for their child. Data were analysed thematically. Three types of decision-making roles were identified: self-determined, guided (both involving active decision-making) and acquiescent (passive).The majority of parents had been active in the decision-making process for their child. They perceived themselves as the ultimate end-of-life decision-maker. This was perceived as part of their parental responsibility. A minority of parents did not consider that they had been an active, ultimate decision-maker. Generally, parents in the self-determined and guided groups reported no negative consequences from their decision-making involvement. Importantly, parents in the acquiescent group described their experience as difficult at the time and subsequently, although not all difficulties related directly to decision-making. Parents considered that in principle parents should be the end-of-life decision-maker for their child, but understood personal characteristics and preference could prevent some parents from taking this role. This study unequivocally supports parents' desire to fulfil the end-of-life decision-making role. It provides a nuanced understanding of parents' roles and contributes evidence for the ethical position that parents should be the end-of-life decision-makers for their child, unless not in the child's best interests. On the whole, parents want this role and can manage its consequences. Indeed, not being the end-of-life decision-maker could be detrimental to parents' well-being. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

URBAN DECISION-MAKING, THE UNIVERSITY'S ROLE.

ERIC Educational Resources Information Center

BAILEY, STEPHEN K.

THE AUTHOR EXAMINES THE VARIOUS WAYS IN WHICH THE UNIVERSITY CAN AND SHOULD INFLUENCE URBAN DECISION MAKING. THE CENTRAL UNIVERSITY ROLE IS SENSITIZING THE DECISION MAKERS AND THE CITIZENS TO HUMAN MISERY, SUCH AS BIGOTRY, SQUALOR, DISEASE, UGLINESS, POVERTY, AND IGNORANCE. LONG-RANGE ROLES ARE PINPOINTING THE PROBLEMS URBAN DECISION MAKERS SHOULD…

Monitoring variations of dimethyl sulfide and dimethylsulfoniopropionate in seawater and the atmosphere based on sequential vapor generation and ion molecule reaction mass spectrometry.

PubMed

Iyadomi, Satoshi; Ezoe, Kentaro; Ohira, Shin-Ichi; Toda, Kei

2016-04-01

To monitor the fluctuations of dimethyl sulfur compounds at the seawater/atmosphere interface, an automated system was developed based on sequential injection analysis coupled with vapor generation-ion molecule reaction mass spectrometry (SIA-VG-IMRMS). Using this analytical system, dissolved dimethyl sulfide (DMS(aq)) and dimethylsulfoniopropionate (DMSP), a precursor to DMS in seawater, were monitored together sequentially with atmospheric dimethyl sulfide (DMS(g)). A shift from the equilibrium point between DMS(aq) and DMS(g) results in the emission of DMS to the atmosphere. Atmospheric DMS emitted from seawater plays an important role as a source of cloud condensation nuclei, which influences the oceanic climate. Water samples were taken periodically and dissolved DMS(aq) was vaporized for analysis by IMRMS. After that, DMSP was hydrolyzed to DMS and acrylic acid, and analyzed in the same manner as DMS(aq). The vaporization behavior and hydrolysis of DMSP to DMS were investigated to optimize these conditions. Frequent (every 30 min) determination of the three components, DMS(aq)/DMSP (nanomolar) and DMS(g) (ppbv), was carried out by SIA-VG-IMRMS. Field analysis of the dimethyl sulfur compounds was undertaken at a coastal station, which succeeded in showing detailed variations of the compounds in a natural setting. Observed concentrations of the dimethyl sulfur compounds both in the atmosphere and seawater largely changed with time and similar variations were repeatedly observed over several days, suggesting diurnal variations in the DMS flux at the seawater/atmosphere interface.

Quantification of dimethyl sulfide (DMS) production in the sea anemone Aiptasia sp. to simulate the sea-to-air flux from coral reefs

NASA Astrophysics Data System (ADS)

Franchini, Filippo; Steinke, Michael

2017-12-01

The production of dimethyl sulfide (DMS) is poorly quantified in tropical reef environments but forms an essential process that couples marine and terrestrial sulfur cycles and affects climate. Here we quantified net aqueous DMS production and the concentration of its cellular precursor dimethylsulfoniopropionate (DMSP) in the sea anemone Aiptasia sp., a model organism to study coral-related processes. Bleached anemones did not show net DMS production whereas symbiotic anemones produced DMS concentrations (mean ± standard error) of 160.7 ± 44.22 nmol g-1 dry weight (DW) after 48 h incubation. Symbiotic and bleached individuals showed DMSP concentrations of 32.7 ± 6.00 and 0.6 ± 0.19 µmol g-1 DW, respectively. We applied these findings to a Monte Carlo simulation to demonstrate that net aqueous DMS production accounts for only 20 % of gross aqueous DMS production. Monte Carlo-based estimations of sea-to-air fluxes of gaseous DMS showed that reefs may release 0.1 to 26.3 µmol DMS m-2 coral surface area (CSA) d-1 into the atmosphere with 40 % probability for rates between 0.5 and 1.5 µmol m-2 CSA d-1. These predictions were in agreement with directly quantified fluxes in previous studies. Conversion to a flux normalised to sea surface area (SSA) (range 0.1 to 17.4, with the highest probability for 0.3 to 1.0 µmol DMS m-2 SSA d-1) suggests that coral reefs emit gaseous DMS at lower rates than the average global oceanic DMS flux of 4.6 µmol m-2 SSA d-1 (19.6 Tg sulfur per year). The large difference between simulated gross and quantified net aqueous DMS production in corals suggests that the current and future potential for its production in tropical reefs is critically governed by DMS consumption processes. Hence, more research is required to assess the sensitivity of DMS-consumption pathways to ongoing environmental change in order to address the impact of predicted degradation of coral reefs on DMS production in tropical coastal ecosystems and its impact on future atmospheric DMS concentrations and climate.

Is economic valuation of ecosystem services useful to decision-makers? Lessons learned from Australian coastal and marine management.

PubMed

Marre, Jean-Baptiste; Thébaud, Olivier; Pascoe, Sean; Jennings, Sarah; Boncoeur, Jean; Coglan, Louisa

2016-08-01

Economic valuation of ecosystem services is widely advocated as being useful to support ecosystem management decision-making. However, the extent to which it is actually used or considered useful in decision-making is poorly documented. This literature blindspot is explored with an application to coastal and marine ecosystems management in Australia. Based on a nation-wide survey of eighty-eight decision-makers representing a diversity of management organizations, the perceived usefulness and level of use of economic valuation of ecosystem services, in support of coastal and marine management, are examined. A large majority of decision-makers are found to be familiar with economic valuation and consider it useful - even necessary - in decision-making, although this varies across groups of decision-makers. However, most decision-makers never or rarely use economic valuation. The perceived level of importance and trust in estimated dollar values differ across ecosystem services, and are especially high for values that relate to commercial activities. A number of factors are also found to influence respondent's use of economic valuation. Such findings concur with conclusions from other studies on the usefulness and use of ESV in environmental management decision-making. They also demonstrate the strength of the survey-based approach developed in this application to examine this issue in a variety of contexts. Copyright © 2016 Elsevier Ltd. All rights reserved.

[Attitudes and opinions of Palestinian decision-makers about premarital examination law].

PubMed

El Sharif, Nuha; Rifai, Ayshea; Assi, Sana'a; Al Hmidat, Amjad

2006-11-01

We explored the attitudes and opinions of 90 Palestinian decision-makers about the draft law on premarital examination. The findings revealed that decision-makers were aware of the spread of genetic diseases but not infectious diseases. The majority agreed on the draft law; however, they differed on the mode of its application. Half believed that the law is not ready yet for application due to insufficient financial support to establish the needed infrastructure. The most significant recommendations made by the decision-makers were to: enhance community awareness of the law, ensure proper coordination among the concerned ministries and institutions, and establish a national organization to work on endorsement of the tests and issuance of the appropriate application strategies and regulations.

The Use of Research Evidence in Public Health Decision Making Processes: Systematic Review

PubMed Central

Orton, Lois; Lloyd-Williams, Ffion; Taylor-Robinson, David; O'Flaherty, Martin; Capewell, Simon

2011-01-01

Background The use of research evidence to underpin public health policy is strongly promoted. However, its implementation has not been straightforward. The objectives of this systematic review were to synthesise empirical evidence on the use of research evidence by public health decision makers in settings with universal health care systems. Methods To locate eligible studies, 13 bibliographic databases were screened, organisational websites were scanned, key informants were contacted and bibliographies of included studies were scrutinised. Two reviewers independently assessed studies for inclusion, extracted data and assessed methodological quality. Data were synthesised as a narrative review. Findings 18 studies were included: 15 qualitative studies, and three surveys. Their methodological quality was mixed. They were set in a range of country and decision making settings. Study participants included 1063 public health decision makers, 72 researchers, and 174 with overlapping roles. Decision making processes varied widely between settings, and were viewed differently by key players. A range of research evidence was accessed. However, there was no reliable evidence on the extent of its use. Its impact was often indirect, competing with other influences. Barriers to the use of research evidence included: decision makers' perceptions of research evidence; the gulf between researchers and decision makers; the culture of decision making; competing influences on decision making; and practical constraints. Suggested (but largely untested) ways of overcoming these barriers included: research targeted at the needs of decision makers; research clearly highlighting key messages; and capacity building. There was little evidence on the role of research evidence in decision making to reduce inequalities. Conclusions To more effectively implement research informed public health policy, action is required by decision makers and researchers to address the barriers identified in this systematic review. There is an urgent need for evidence to support the use of research evidence to inform public health decision making to reduce inequalities. PMID:21818262

Patient Preferences and Surrogate Decision Making in Neuroscience Intensive Care Units

PubMed Central

Cai, Xuemei; Robinson, Jennifer; Muehlschlegel, Susanne; White, Douglas B.; Holloway, Robert G.; Sheth, Kevin N.; Fraenkel, Liana; Hwang, David Y.

2016-01-01

In the neuroscience intensive care unit (NICU), most patients lack the capacity to make their own preferences known. This fact leads to situations where surrogate decision makers must fill the role of the patient in terms of making preference-based treatment decisions, oftentimes in challenging situations where prognosis is uncertain. The neurointensivist has a large responsibility and role to play in this shared decision making process. This review covers how NICU patient preferences are determined through existing advance care documentation or surrogate decision makers and how the optimum roles of the physician and surrogate decision maker are addressed. We outline the process of reaching a shared decision between family and care team and describe a practice for conducting optimum family meetings based on studies of ICU families in crisis. We review challenges in the decision making process between surrogate decision makers and medical teams in neurocritical care settings, as well as methods to ameliorate conflicts. Ultimately, the goal of shared decision making is to increase knowledge amongst surrogates and care providers, decrease decisional conflict, promote realistic expectations and preference-centered treatment strategies, and lift the emotional burden on families of neurocritical care patients. PMID:25990137

Surface transportation weather decision support requirements : user needs and appendices : advanced-integrated decision support using weather information for surface transportation decision makers

DOT National Transportation Integrated Search

2000-01-24

The Federal Highway Administration (FHWA) of the U.S. Department of Transportation (USDOT) : has a responsibility to coordinate and promote projects that will bring the best information on weather to decision makers, in order to improve performance o...

An Introduction to Solar Decision-Making Tools

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mow, Benjamin

2017-09-12

The National Renewable Energy Laboratory (NREL) offers a variety of models and analysis tools to help decision makers evaluate and make informed decisions about solar projects, policies, and programs. This fact sheet aims to help decision makers determine which NREL tool to use for a given solar project or policy question, depending on its scope.

User Oriented Techniques to Support Interaction and Decision Making with Large Educational Databases

ERIC Educational Resources Information Center

Hartley, Roger; Almuhaidib, Saud M. Y.

2007-01-01

Information Technology is developing rapidly and providing policy/decision makers with large amounts of information that require processing and analysis. Decision support systems (DSS) aim to provide tools that not only help such analyses, but enable the decision maker to experiment and simulate the effects of different policies and selection…

Dissociable contributions of dorsal and ventral striatal regions on a rodent cost/benefit decision-making task requiring cognitive effort.

PubMed

Silveira, Mason M; Tremblay, Melanie; Winstanley, Catharine A

2018-04-24

Cognitive effort is a ubiquitous process, yet surprisingly little is known about the brain mechanisms responsible for evaluating it. Here, we utilize the rat Cognitive Effort Task (rCET) to probe the striatum's role in deciding between options that vary in the amount of cognitive effort required for success. In the rCET, animals choose to perform either an easy trial, in which the attentional demand is low but the potential reward is small, or a difficult trial which is more attentionally demanding but can yield twice the sugar pellets. Twenty-six male Long Evans rats were trained on the rCET and the effects of pharmacologically inactivating the dorsomedial striatum (DMS) and core region of the nucleus accumbens were determined. Temporary inactivation of the DMS decreased all animals' choice of the high-effort, high-reward option, impaired attentional accuracy, and robustly increased premature responding without impairing general indices of motor ability. The DMS therefore appears necessary for the integration of cognitive signals required for optimal performance. In stark contrast, following temporary inactivation of the ventral striatum, subjects were fundamentally unable to perform the task, as reflected by a drastic decrease in the number of trials initiated and an increase in omitted responses. Together, these data suggest the striatum is likely part of a larger cortico-limbic-striatal network whose function is to optimize decisions requiring cognitive effort costs, at least in the attentional domain, and that striatal subregions have dissociable roles in the adjudication and application of this form of cognitive effort. Copyright © 2018 Elsevier Ltd. All rights reserved.

HOSPITAL MANAGERS' NEED FOR INFORMATION ON HEALTH TECHNOLOGY INVESTMENTS.

PubMed

Ølholm, Anne Mette; Kidholm, Kristian; Birk-Olsen, Mette; Christensen, Janne Buck

2015-01-01

There is growing interest in implementing hospital-based health technology assessment (HB-HTA) as a tool to facilitate decision making based on a systematic and multidisciplinary assessment of evidence. However, the decision-making process, including the informational needs of hospital decision makers, is not well described. The objective was to review empirical studies analysing the information that hospital decision makers need when deciding about health technology (HT) investments. A systematic review of empirical studies published in English or Danish from 2000 to 2012 was carried out. The literature was assessed by two reviewers working independently. The identified informational needs were assessed with regard to their agreement with the nine domains of EUnetHTA's Core Model. A total of 2,689 articles were identified and assessed. The review process resulted in 14 relevant studies containing 74 types of information that hospital decision makers found relevant. In addition to information covered by the Core Model, other types of information dealing with political and strategic aspects were identified. The most frequently mentioned types of information in the literature related to clinical, economic and political/strategic aspects. Legal, social, and ethical aspects were seldom considered most important. Hospital decision makers are able to describe their information needs when deciding on HT investments. The different types of information were not of equal importance to hospital decision makers, however, and full agreement between EUnetHTA's Core Model and the hospital decision-makers' informational needs was not observed. They also need information on political and strategic aspects not covered by the Core Model.

SIP metagenomics identifies uncultivated Methylophilaceae as dimethylsulphide degrading bacteria in soil and lake sediment

PubMed Central

Eyice, Özge; Namura, Motonobu; Chen, Yin; Mead, Andrew; Samavedam, Siva; Schäfer, Hendrik

2015-01-01

Dimethylsulphide (DMS) has an important role in the global sulphur cycle and atmospheric chemistry. Microorganisms using DMS as sole carbon, sulphur or energy source, contribute to the cycling of DMS in a wide variety of ecosystems. The diversity of microbial populations degrading DMS in terrestrial environments is poorly understood. Based on cultivation studies, a wide range of bacteria isolated from terrestrial ecosystems were shown to be able to degrade DMS, yet it remains unknown whether any of these have important roles in situ. In this study, we identified bacteria using DMS as a carbon and energy source in terrestrial environments, an agricultural soil and a lake sediment, by DNA stable isotope probing (SIP). Microbial communities involved in DMS degradation were analysed by denaturing gradient gel electrophoresis, high-throughput sequencing of SIP gradient fractions and metagenomic sequencing of phi29-amplified community DNA. Labelling patterns of time course SIP experiments identified members of the Methylophilaceae family, not previously implicated in DMS degradation, as dominant DMS-degrading populations in soil and lake sediment. Thiobacillus spp. were also detected in 13C-DNA from SIP incubations. Metagenomic sequencing also suggested involvement of Methylophilaceae in DMS degradation and further indicated shifts in the functional profile of the DMS-assimilating communities in line with methylotrophy and oxidation of inorganic sulphur compounds. Overall, these data suggest that unlike in the marine environment where gammaproteobacterial populations were identified by SIP as DMS degraders, betaproteobacterial Methylophilaceae may have a key role in DMS cycling in terrestrial environments. PMID:25822481

A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker.

PubMed

Leibfried, Felix; Braun, Daniel A

2015-08-01

Rate distortion theory describes how to communicate relevant information most efficiently over a channel with limited capacity. One of the many applications of rate distortion theory is bounded rational decision making, where decision makers are modeled as information channels that transform sensory input into motor output under the constraint that their channel capacity is limited. Such a bounded rational decision maker can be thought to optimize an objective function that trades off the decision maker's utility or cumulative reward against the information processing cost measured by the mutual information between sensory input and motor output. In this study, we interpret a spiking neuron as a bounded rational decision maker that aims to maximize its expected reward under the computational constraint that the mutual information between the neuron's input and output is upper bounded. This abstract computational constraint translates into a penalization of the deviation between the neuron's instantaneous and average firing behavior. We derive a synaptic weight update rule for such a rate distortion optimizing neuron and show in simulations that the neuron efficiently extracts reward-relevant information from the input by trading off its synaptic strengths against the collected reward.

Concentrations and cycling of DMS, DMSP, and DMSO in coastal and offshore waters of the Subarctic Pacific during summer, 2010-2011

NASA Astrophysics Data System (ADS)

Asher, Elizabeth; Dacey, John W.; Ianson, Debby; Peña, Angelica; Tortell, Philippe D.

2017-04-01

Concentrations of dimethylsulfide (DMS), measured in the Subarctic Pacific during summer 2010 and 2011, ranged from ˜1 to 40 nM, while dissolved dimethylsulfoxide (DMSO) concentrations (range 13-23 nM) exceeded those of dissolved dimethyl sulfoniopropionate (DMSP) (range 1.3-8.8 nM). Particulate DMSP dominated the reduced sulfur pool, reaching maximum concentrations of 100 nM. Coastal and off shore waters exhibited similar overall DMS concentration ranges, but sea-air DMS fluxes were lower in the oceanic waters due to lower wind speeds. Surface DMS concentrations showed statistically significant correlations with various hydrographic variables including the upwelling intensity (r2 = 0.52, p < 0.001) and the Chlorophyll a/mixed layer depth ratio (r2 = 0.52, p < 0.001), but these relationships provided little predictive power at small scales. Stable isotope tracer experiments indicated that the DMSP cleavage pathway always exceeded the DMSO reduction pathway as a DMS source, leading to at least 85% more DMS production in each experiment. Gross DMS production rates were positively correlated with the upwelling intensity, while net rates of DMS production were significantly correlated to surface water DMS concentrations. This latter result suggests that our measurements captured dominant processes driving surface DMS accumulation across a coastal-oceanic gradient.

Impact of bacterial DMS production on [DMS/P] under ocean acidification (KOSMOS_2.0): insights from the subtropics.

NASA Astrophysics Data System (ADS)

Suffrian, K.; Posman, K.; Matrai, P.; Countway, P. D.; Archer, S. D.

2016-02-01

Marine dimethyl sulfide (DMS), a ubiquitous atmospheric trace gas, comprises the largest source of sulphur to the atmosphere. So far, temperate and high-latitude ocean acidification (OA) mesocosm experiments point to a decrease of this precursor for cloud condensation nuclei, leading to fewer clouds, and resulting in an increased radiative force. To our knowledge no experiments have yet been carried out which address multiple forcings (temperature and pCO2) in the subtropics. We thus joined the 55-day KOSMOS large mesocosm experiment on Gran Canaria to investigate if the observed decrease could be global. As subtropical and tropical oceans comprise a large proportion of the world's oceans, we were i.a. interested if 1) increasing ocean acidification in a subtropical environment would also decrease [DMS], and if 2) bacterial DMS production could explain a large part of potential decreases. Here we focus on the first phase (day 1-23), showing the impact of OA on [DMS] and [DMSP] (dimethylsulfoniopropionate). Bacteria are thought to be the main DMS producers, so we used 35S-DMSP as a tracer to investigate the impact of bacterial DMS production on observed [DMS] decreases correlated with increasing OA. [DMS] showed a strong inverse correlation with [H+] (-50% vs. ambient control). [DMSPp] (-37%) and [DMSPd] (-20%) also decreased with increasing [H+]. Our results support findings from higher latitude mesocosm experiments, thus suggesting the effect might be global. Bacterial DMS production rates, their rate constants, and yields during the peak in [DMS] were negatively correlated with [H+] on single days, while gross DMS-production was high enough to support observed [DMS] increases. Bacterial DMSP uptake rates and DMS production rates were not correlated with [H+] on any other day. Bacterial effects alone are thus not enough to explain observed changes in standing stocks. We will further explore the results by normalizing to bacterial protein production, cell abundance, and potential changes in gene expression, and finally link DMS/P metabolism to diversity (in progress).

Bridging the gap between science and decision making

PubMed Central

von Winterfeldt, Detlof

2013-01-01

All decisions, whether they are personal, public, or business-related, are based on the decision maker’s beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers’ information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making. PMID:23940310

Hooked differential mobility spectrometry apparatus and method therefore

DOEpatents

Shvartsburg, Alexandre A [Richland, WA; Tang, Keqi [Richland, WA; Ibrahim, Yehia M [Richland, WA; Smith, Richard D [Richland, WA

2009-02-17

Disclosed are a device and method for improved interfacing of differential mobility spectrometry (DMS) or field asymmetric waveform ion mobility spectrometry (FAIMS) analyzers of substantially planar geometry to subsequent or preceding instrument stages. Interfacing is achieved using curved DMS elements, where a thick ion beam emitted by planar DMS analyzers or injected into them for ion filtering is compressed to the gap median by DMS ion focusing effect in a spatially inhomogeneous electric field. Resulting thinner beams are more effectively transmitted through necessarily constrained conductance limit apertures to subsequent instrument stages operated at a pressure lower than DMS, and/or more effectively injected into planar DMS analyzers. The technology is synergetic with slit apertures, slit aperture/ion funnels, and high-pressure ion funnel interfaces known in the art which allow for increasing cross-sectional area of MS inlets. The invention may be used in integrated analytical platforms, including, e.g., DMS/MS, LC/DMS/MS, and DMS/IMS/MS that could replace and/or enhance current LC/MS methods, e.g., for proteomics research.

Beyond Prediction: the Many Ways in which Climate Science can Inform Adaptation Decisions

NASA Astrophysics Data System (ADS)

Lempert, R. J.

2017-12-01

Climate science provides an increasingly rich understanding of current and future climate, but this understanding is often not fully incorporated into climate adaptation decisions. In particular, the provision of climate information is still trapped in a narrow prediction-based framework, which envisions a sequential process that begins with model-based forecasts of future climate and decision makers then acting on those forecasts. Among its challenges, this framework can discourage action when climate predictions are deemed too uncertain, encourage overconfidence when climate scientists and decision makers fail to focus on decision-relevant but poorly understood extreme events, and offers a too-narrow communication path among climate scientists and decision makers. This talk will describe how robust decision approaches, organized around the idea of stress testing proposed adaptation decisions over a wide range of futures, can enable a richer flow information among climate scientists and decision makers. The talk illustrates these themes with two examples: 1) conservation management that explores the tradeoffs among alternative climate information products with different combinations of ensemble size and spatial resolution and 2) water quality implementation planning that focuses on the handling of extremes.

Bi-Level Decision Making for Supporting Energy and Water Nexus

NASA Astrophysics Data System (ADS)

Zhang, X.; Vesselinov, V. V.

2016-12-01

The inseparable relationship between energy production and water resources has led to the emerging energy-water nexus concept, which provides a means for integrated management and decision making of these two critical resources. However, the energy-water nexus frequently involves decision makers with different and competing management objectives. Furthermore, there is a challenge that decision makers and stakeholders might be making decisions sequentially from a higher level to a lower level, instead of at the same decision level, whereby the objective of a decision maker at a higher level should be satisfied first. In this study, a bi-level decision model is advanced to handle such decision-making situations for managing the energy-water nexus. The work represents a unique contribution to developing an integrated decision-support framework/tool to quantify and analyze the tradeoffs between the two-level energy-water nexus decision makers. Here, plans for electricity generation, fuel supply, water supply, capacity expansion of the power plants and environmental impacts are optimized to provide effective decision support. The developed decision-support framework is implemented in Julia (a high-level, high-performance dynamic programming language for technical computing) and is a part of the MADS (Model Analyses & Decision Support) framework (http://mads.lanl.gov). To demonstrate the capabilities of the developed methodology, a series of analyses are performed for synthetic problems consistent with actual real-world energy-water nexus management problems.

Double minute chromosomes in mouse methotrexate-resistant cells studied by atomic force microscopy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Deng Xinyu; Zhang Liangyu; Zhang Yu

2006-08-11

Double minute chromosomes (DMs) are acentric, autonomously replicating extra-chromosomes and frequently mediate gene amplification in tumor and drug resistant cells. Atomic force microscopy (AFM) is a powerful tool in microbiology. We used AFM to explore the ultrastructure of DMs in mouse fibroblasts 3T3R500. DMs in various phases of cell cycle were also studied in order to elucidate the mechanisms of their duplication and separation. Metaphase spread and induced premature condensed chromosomes (PCCs) were observed under the AFM. DMs were detected to be composed of two compact spheres linked by fibers. The fibers of DMs directly connected with metaphase chromosomes weremore » observed. Many single-minutes and few DMs were detected in G1 PCCs, while more DMs were detected in S PCCs than in G1 PCCs. Besides, all of the DMs in G2 PCCs were coupled. Our present results suggested that DMs might divide into single-minutes during or before G1-phase, followed by duplication of the single-minutes in S-phase. Moreover, we introduced a new powerful tool to study DMs and got some ideal results.« less

Alternative Fuels Data Center: Telework

Science.gov Websites

for vehicle fleet managers and corporate decision makers to work with employees to conserve fuel . Telecommute Resources These resources can help corporate decision makers develop and support telework

'Holding the line': a qualitative study of the role of evidence in early phase decision-making in the reconfiguration of stroke services in London.

PubMed

Fraser, Alec; Baeza, Juan I; Boaz, Annette

2017-06-09

Health service reconfigurations are of international interest but remain poorly understood. This article focuses on the use of evidence by senior managerial decision-makers involved in the reconfiguration of stroke services in London 2008-2012. Recent work comparing stroke service reconfiguration in London and Manchester emphasises the ability of senior managerial decision-makers in London to 'hold the line' in the crucial early phases of the stroke reconfiguration programme. In this article, we explore in detail how these decision-makers 'held the line' and ask what the broader power implications of doing so are for the interaction between evidence, health policy and system redesign. The research combined semi-structured interviews (n = 20) and documentary analysis of historically relevant policy papers and contemporary stroke reconfiguration documentation published by NHS London and other interested parties (n = 125). We applied a critical interpretive and reflexive approach to the analysis of the data. We identified two forms of power which senior managerial decision-makers drew upon in order to 'hold the line'. Firstly, discursive power, which through an emphasis on evidence, better patient outcomes, professional support and clinical credibility alongside a tightly managed consultation process, helped to set an agenda that was broadly receptive to the overall decision to change stroke services in the capital in a radical way. Secondly, once the essential parameters of the decision to change services had been agreed, senior managerial decision-makers 'held the line' through hierarchical New Public Management style power to minimise the traditional pressures to de-radicalise the reconfiguration through 'top down' decision-making. We problematise the concept of 'holding the line' and explore the power implications of such managerial approaches in the early phases of health service reconfiguration. We highlight the importance of evidence for senior managerial decision-makers in agenda setting and the limitations of clinical research findings in guiding politically sensitive policy decisions which impact upon regional healthcare systems.

An Evaluation of Health Impact Assessments in the United States, 2011–2014

PubMed Central

Charbonneau, Diana; Cahill, Carol; Dannenberg, Andrew L.

2015-01-01

Introduction The Center for Community Health and Evaluation conducted a 3-year evaluation to assess results of health impact assessments (HIAs) in the United States and to identify elements critical for their success. Methods The study used a retrospective, mixed-methods comparative case study design, including a literature review; site visits; interviews with investigators, stakeholders, and decision makers for 23 HIAs in 16 states that were completed from 2005 through 2013; and a Web-based survey of 144 HIA practitioners. Results Analysis of interviews with decision makers suggests HIAs can directly influence decisions in nonhealth-related sectors. HIAs may also influence changes beyond the decision target, build consensus and relationships among decision makers and their constituents, and give community members a stronger voice in decisions that affect them. Factors that may increase HIA success include care in choosing a project or policy to be examined’ selecting an appropriate team to conduct the HIA; engaging stakeholders and decision makers throughout the process; crafting clear, actionable recommendations; delivering timely, compelling messages to appropriate audiences; and using multiple dissemination methods. Challenges to successful HIAs include underestimating the level of effort required, political changes during the conduct of the HIA, accessing relevant local data, engaging vulnerable populations, and following up on recommendations. Conclusion Results of this study suggest HIAs are a useful tool to promote public health because they can influence decisions in nonhealth-related sectors, strengthen cross-sector collaborations, and raise awareness of health issues among decision makers. PMID:25695261

Bringing science to the table: Case studies in science-informed decision making on climate change and beyond

NASA Astrophysics Data System (ADS)

Goldman, G. T.; Phartiyal, P.; Mulvey, K.

2016-12-01

Federal government officials often rely on the research and advice of scientists to inform their decision making around climate change and other complex topics. Decision makers, however, are constrained by the time and accessibility needed to obtain and incorporate scientific information. At the same time, scientists have limited capacity and incentive to devote significant time to communicating their science to decision makers. The Union of Concerned Scientists has employed several strategies to produce policy-relevant scientific work and to facilitate engagement between scientists and decision makers across research areas. This talk will feature lessons learned and key strategies for science-informed decision making around climate change and other areas of the geosciences. Case studies will include conducting targeted sea level rise studies to inform rulemaking at federal agencies, bringing science to policy discussions on hydraulic fracturing, and leveraging the voice of the scientific community on specific policy proposals around climate change disclosure of companies. Recommendations and lessons learned for producing policy-relevant science and effectively communicating it with decision makers will be offered.

Bridge over troubled waters: A Synthesis Session to connect scientific and decision making sectors

EPA Science Inventory

Lack of access to relevant scientific data has limited decision makers from incorporating scientific information into their management and policy schemes. Yet, there is increasing interest among decision makers and scientists to integrate coastal and marine science into the polic...

DMS role in ENSO cycle in the tropics: DMS Role in ENSO Cycle in Tropics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Xu, Li; Cameron-Smith, Philip; Russell, Lynn M.

We examined the multiyear mean and variability of dimethyl sulfide (DMS) and its relationship to sulfate aerosols, as well as cloud microphysical and radiative properties. We conducted a 150 year simulation using preindustrial conditions produced by the Community Earth System Model embedded with a dynamic DMS module. The model simulated the mean spatial distribution of DMS emissions and burden, as well as sulfur budgets associated with DMS, SO2, H2SO4, and sulfate that were generally similar to available observations and inventories for a variety of regions. Changes in simulated sea-to-air DMS emissions and associated atmospheric abundance, along with associated aerosols andmore » cloud and radiative properties, were consistently dominated by El Niño–Southern Oscillation (ENSO) cycle in the tropical Pacific region. Simulated DMS, aerosols, and clouds showed a weak positive feedback on sea surface temperature. This feedback suggests a link among DMS, aerosols, clouds, and climate on interannual timescales. The variability of DMS emissions associated with ENSO was primarily caused by a higher variation in wind speed during La Niña events. The simulation results also suggest that variations in DMS emissions increase the frequency of La Niña events but do not alter ENSO variability in terms of the standard deviation of the Niño 3 sea surface temperature anomalies.« less

Research-based-decision-making in Canadian health organizations: a behavioural approach.

PubMed

Jbilou, Jalila; Amara, Nabil; Landry, Réjean

2007-06-01

Decision making in Health sector is affected by a several elements such as economic constraints, political agendas, epidemiologic events, managers' values and environment... These competing elements create a complex environment for decision making. Research-Based-Decision-Making (RBDM) offers an opportunity to reduce the generated uncertainty and to ensure efficacy and efficiency in health administrations. We assume that RBDM is dependant on decision makers' behaviour and the identification of the determinants of this behaviour can help to enhance research results utilization in health sector decision making. This paper explores the determinants of RBDM as a personal behaviour among managers and professionals in health administrations in Canada. From the behavioural theories and the existing literature, we build a model measuring "RBDM" as an index based on five items. These items refer to the steps accomplished by a decision maker while developing a decision which is based on evidence. The determinants of RBDM behaviour are identified using data collected from 942 health care decision makers in Canadian health organizations. Linear regression is used to model the behaviour RBDM. Determinants of this behaviour are derived from Triandis Theory and Bandura's construct "self-efficacy." The results suggest that to improve research use among managers in Canadian governmental health organizations, strategies should focus on enhancing exposition to evidence through facilitating communication networks, partnerships and links between researchers and decision makers, with the key long-term objective of developing a culture that supports and values the contribution that research can make to decision making in governmental health organizations. Nevertheless, depending on the organizational level, determinants of RBDM are different. This difference has to be taken into account if RBDM adoption is desired. Decision makers in Canadian health organizations (CHO) can help to build networks, develop partnerships between professionals locally, regionally and nationally, and also act as change agents in the dissemination and adoption of knowledge and innovations in health services. However, the research focused on knowledge use as a support to decision-making, further research is needed to identify and evaluate effective incentives and strategies to implement so as to enhance RBDM adoption among health decision makers and more theoretical development are to complete in this perspective.

Clustering and group selection of multiple criteria alternatives with application to space-based networks.

PubMed

Malakooti, Behnam; Yang, Ziyong

2004-02-01

In many real-world problems, the range of consequences of different alternatives are considerably different. In addition, sometimes, selection of a group of alternatives (instead of only one best alternative) is necessary. Traditional decision making approaches treat the set of alternatives with the same method of analysis and selection. In this paper, we propose clustering alternatives into different groups so that different methods of analysis, selection, and implementation for each group can be applied. As an example, consider the selection of a group of functions (or tasks) to be processed by a group of processors. The set of tasks can be grouped according to their similar criteria, and hence, each cluster of tasks to be processed by a processor. The selection of the best alternative for each clustered group can be performed using existing methods; however, the process of selecting groups is different than the process of selecting alternatives within a group. We develop theories and procedures for clustering discrete multiple criteria alternatives. We also demonstrate how the set of alternatives is clustered into mutually exclusive groups based on 1) similar features among alternatives; 2) ideal (or most representative) alternatives given by the decision maker; and 3) other preferential information of the decision maker. The clustering of multiple criteria alternatives also has the following advantages. 1) It decreases the set of alternatives to be considered by the decision maker (for example, different decision makers are assigned to different groups of alternatives). 2) It decreases the number of criteria. 3) It may provide a different approach for analyzing multiple decision makers problems. Each decision maker may cluster alternatives differently, and hence, clustering of alternatives may provide a basis for negotiation. The developed approach is applicable for solving a class of telecommunication networks problems where a set of objects (such as routers, processors, or intelligent autonomous vehicles) are to be clustered into similar groups. Objects are clustered based on several criteria and the decision maker's preferences.

Vernal distribution and turnover of dimethylsulfide (DMS) in the surface water of the Yellow Sea

NASA Astrophysics Data System (ADS)

Li, Cheng-Xuan; Yang, Gui-Peng; Wang, Bao-Dong; Xu, Zong-Jun

2016-10-01

The spatial and interannual variations of dimethylsulfide (DMS) and its precursors, dissolved and particulate dimethylsulfoniopropionate (DMSP), were discussed on the basis of field observations in the surface waters of the Yellow Sea during spring 2007. Maxima of dimethylated sulfur compounds and low chlorophyll a concentrations were found in the central southern Yellow Sea, whereas low concentrations of DMS and DMSP were detected at the boundary between the northern and southern parts of the Yellow Sea. This frontal region is influenced by active water currents, air-sea interface exchanges, and biological turnover. The horizontal variations in DMS production and consumption rates showed a decreasing tendency from the coastal to offshore areas mainly due to the complicated biological features. DMS positively correlated with dissolved CH4 and CO2 but negatively correlated with nutrients (nitrite and phosphate). Particulate DMSP concentrations and DMS production rates positively correlated with dinoflagellate abundances but negatively correlated with diatom cell densities. DMS and DMSP concentrations, as well as DMS production and consumption rates, exhibited approximately 2.0-2.8 fold increases from 2005 to 2012. This finding was likely caused by shifts in the phytoplankton communities from diatoms to dinoflagellates and the increases in abundances of zooplankton and bacteria. Average sea-to-air DMS fluxes were estimated to be 8.12 ± 1.24 µmol·(m-2·d-1), and DMS microbial consumption was approximately 1.68 times faster than the DMS sea-air exchange. These findings imply that biological consumption, relative to ventilation, is a predominant mechanism in DMS removal from the surface water.

Alternative Fuels Data Center: Mass Transit

Science.gov Websites

traveled and fuel used by private vehicles. Vehicle fleet managers, corporate decision makers, and public effective incentives for fleet managers and corporate decision makers to build mass transit ridership

Alternative Fuels Data Center: Transportation System Efficiency

Science.gov Websites

energy use. Transportation planners and corporate decision makers can implement combinations of these corporate decision makers can help employees telework to conserve fuel. Maps & Data Average Annual Fuel

Assessing Contractor Capabilities for Streamlined Site Investigations

EPA Pesticide Factsheets

The purpose of this document is to familiarize and encourage brownfields decision makers to investigate and employ innovative methods for characterizing their sites, to assist brownfields decision makers in assessing contractors' capabilities.

Relevance of a Managerial Decision-Model to Educational Administration.

ERIC Educational Resources Information Center

Lundin, Edward.; Welty, Gordon

The rational model of classical economic theory assumes that the decision maker has complete information on alternatives and consequences, and that he chooses the alternative that maximizes expected utility. This model does not allow for constraints placed on the decision maker resulting from lack of information, organizational pressures,…

Educational Goods and Values: A Framework for Decision Makers

ERIC Educational Resources Information Center

Brighouse, Harry; Ladd, Helen F.; Loeb, Susanna; Swift, Adam

2016-01-01

This article articulates a framework suitable for use when making decisions about education policy. Decision makers should establish what the feasible options are and evaluate them in terms of their contribution to the development, and distribution, of educational goods in children, balanced against the negative effect of policies on important…

Teacher as Decision-Maker.

ERIC Educational Resources Information Center

Smith, Carl B.

The teacher as decisionmaker is a fairly new concept, and yet the choices teachers make--among alternative approaches--afffect the attitudes, knowledge, and skills students carry into adult life. This booklet's chapter titles are as follows: (1) New Image for Teachers--Decision-Maker; (2) Decisions Teachers Make; (3) A Rational Model; (4) Planning…

Sandia National Laboratories: Pathfinder Radar ISR and Synthetic Aperture

Science.gov Websites

Eyes for the Warfighter Actionable Intelligence for the Decision Maker Actionable Intelligence for the Decision Maker All Weather, Persistent, Optical Like All Weather, Persistent, Optical Like Real-time, High radar systems encompass the entire end-to-end connectivity needed for decision superiority to ensure

Negative Attitudes toward Older Workers and Hiring Decisions: Testing the Moderating Role of Decision Makers' Core Self-Evaluations.

PubMed

Fasbender, Ulrike; Wang, Mo

2016-01-01

Organizational hiring practices have been charged for unfair treatment on the grounds of age. Drawing on theories of planned behavior and core self-evaluations, this research investigated the impact of negative attitudes toward older workers on hiring decisions and examined the moderating role of decision-makers' core self-evaluations. We tested our hypotheses based on a structured online questionnaire and a vignette study using a sample of 102 participants working in human resource management across different industries. As predicted, negative attitudes toward older workers were positively related to avoidance of hiring older people, which in turn was negatively related to the likelihood to select the oldest candidate. Because hiring decisions are not only about the hiring subject but also about the decision-maker, we tested the moderating role of decision-makers' core self-evaluations. Results showed that core self-evaluations buffered the relationship between negative attitudes toward older workers and avoidance of hiring older people. Theoretical implications of the findings with regard to hiring decisions about older people and practical recommendations to improve diversity management strategies and age-balanced hiring practices in organizations are discussed.

Do evidence summaries increase policy-makers' use of evidence from systematic reviews: A systematic review protocol.

PubMed

Petkovic, Jennifer; Welch, Vivian; Tugwell, Peter

2015-09-28

Systematic reviews are important for decision-makers. They offer many potential benefits but are often written in technical language, are too long, and do not contain contextual details which makes them hard to use for decision-making. There are many organizations that develop and disseminate derivative products, such as evidence summaries, from systematic reviews for different populations or subsets of decision-makers. This systematic review will assess the effectiveness of systematic review summaries on increasing policymakers' use of systematic review evidence and to identify the components or features of these summaries that are most effective. We will include studies of policy-makers at all levels as well as health-system managers. We will include studies examining any type of "evidence summary," "policy brief," or other products derived from systematic reviews that present evidence in a summarized form. The primary outcomes are the following: (1) use of systematic review summaries decision-making (e.g., self-reported use of the evidence in policy-making, decision-making) and (2) policy-maker understanding, knowledge, and/or beliefs (e.g., changes in knowledge scores about the topic included in the summary). We will conduct a systematic review of randomized controlled trials (RCTs), non-randomized controlled trials (NRCTs), controlled before-after studies (CBA), and interrupted time series (ITS) studies. The results of this review will inform the development of future systematic review summaries to ensure that systematic review evidence is accessible to and used by policy-makers making health-related decisions.

Concordance Between Veterans' Self-Report and Documentation of Surrogate Decision Makers: Implications for Quality Measurement.

PubMed

Garner, Kimberly K; Dubbert, Patricia; Lensing, Shelly; Sullivan, Dennis H

2017-01-01

The Measuring What Matters initiative of the American Academy of Hospice and Palliative Medicine and the Hospice and Palliative Nurses Association identified documentation of a surrogate decision maker as one of the top 10 quality indicators in the acute hospital and hospice settings. To better understand the potential implementation of this Measuring What Matters quality measure #8, Documentation of Surrogate in outpatient primary care settings by describing primary care patients' self-reported identification and documentation of a surrogate decision maker. Examination of patient responses to self-assessment questions from advance health care planning educational groups conducted in one medical center primary care clinic and seven community-based outpatient primary care clinics. We assessed the concordance between patient reports of identifying and naming a surrogate decision maker and having completed an advance directive (AD) with presence of an AD in the electronic medical record. Of veterans without a documented AD on file, more than half (66%) reported that they had talked with someone they trusted and nearly half (52%) reported that they had named someone to communicate their preferences. Our clinical project data suggest that many more veterans may have initiated communications with surrogate decision makers than is evident in the electronic medical record. System changes are needed to close the gap between veterans' plans for a surrogate decision maker and the documentation available to acute care health care providers. Published by Elsevier Inc.

Bridging the gap between the economic evaluation literature and daily practice in occupational health: a qualitative study among decision-makers in the healthcare sector.

PubMed

van Dongen, Johanna M; Tompa, Emile; Clune, Laurie; Sarnocinska-Hart, Anna; Bongers, Paulien M; van Tulder, Maurits W; van der Beek, Allard J; van Wier, Marieke F

2013-06-03

Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers' knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer's costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this.

Echocardiographic Assessment of Degenerative Mitral Stenosis: A Diagnostic Challenge of an Emerging Cardiac Disease.

PubMed

Oktay, Ahmet Afşşin; Gilliland, Yvonne E; Lavie, Carl J; Ramee, Stephen J; Parrino, Patrick E; Bates, Michael; Shah, Sangeeta; Cash, Michael E; Dinshaw, Homeyar; Qamruddin, Salima

2017-03-01

Degenerative mitral stenosis (DMS) is characterized by decreased mitral valve (MV) orifice area and increased transmitral pressure gradient due to chronic noninflammatory degeneration and subsequent calcification of the fibrous mitral annulus and the MV leaflets. The "true" prevalence of DMS in the general population is unknown. DMS predominantly affects elderly individuals, many of whom have multiple other comorbidities. Transcatheter MV replacement techniques, although their long-term outcomes are yet to be tested, have been gaining popularity and may emerge as more effective and relatively safer treatment option for patients with DMS. Echocardiography is the primary imaging modality for evaluation of DMS and related hemodynamic abnormalities such as increased transmitral pressure gradient and pulmonary arterial pressure. Classic echocardiographic techniques used for evaluation of mitral stenosis (pressure half time, proximal isovelocity surface area, continuity equation, and MV area planimetry) lack validation for DMS. Direct planimetry with 3-dimensional echocardiography and color flow Doppler is a reasonable technique for determining MV area in DMS. Cardiac computed tomography is an essential tool for planning potential interventions or surgeries for DMS. This article reviews the current concepts on mitral annular calcification and its role in DMS. We then discuss the epidemiology, natural history, differential diagnosis, mechanisms, and echocardiographic assessment of DMS. Copyright © 2017 Elsevier Inc. All rights reserved.

Value of information and pricing new healthcare interventions.

PubMed

Willan, Andrew R; Eckermann, Simon

2012-06-01

Previous application of value-of-information methods to optimal clinical trial design have predominantly taken a societal decision-making perspective, implicitly assuming that healthcare costs are covered through public expenditure and trial research is funded by government or donation-based philanthropic agencies. In this paper, we consider the interaction between interrelated perspectives of a societal decision maker (e.g. the National Institute for Health and Clinical Excellence [NICE] in the UK) charged with the responsibility for approving new health interventions for reimbursement and the company that holds the patent for a new intervention. We establish optimal decision making from societal and company perspectives, allowing for trade-offs between the value and cost of research and the price of the new intervention. Given the current level of evidence, there exists a maximum (threshold) price acceptable to the decision maker. Submission for approval with prices above this threshold will be refused. Given the current level of evidence and the decision maker's threshold price, there exists a minimum (threshold) price acceptable to the company. If the decision maker's threshold price exceeds the company's, then current evidence is sufficient since any price between the thresholds is acceptable to both. On the other hand, if the decision maker's threshold price is lower than the company's, then no price is acceptable to both and the company's optimal strategy is to commission additional research. The methods are illustrated using a recent example from the literature.

Mapping a Research Agenda for Home Care Safety: Perspectives from Researchers, Providers, and Decision Makers

ERIC Educational Resources Information Center

Macdonald, Marilyn; Lang, Ariella; MacDonald, Jo-Anne

2011-01-01

The purpose of this qualitative interpretive design was to explore the perspectives of researchers, health care providers, policy makers, and decision makers on key risks, concerns, and emerging issues related to home care safety that would inform a line of research inquiry. Defining safety specifically in this home care context has yet to be…

Making the Connection between Environmental Science and Decision Making

NASA Astrophysics Data System (ADS)

Woodhouse, C. A.; Crimmins, M.; Ferguson, D. B.; Garfin, G. M.; Scott, C. A.

2011-12-01

As society is confronted with population growth, limited resources, and the impacts of climate variability and change, it is vital that institutions of higher education promote the development of professionals who can work with decision-makers to incorporate scientific information into environmental planning and management. Skills for the communication of science are essential, but equally important is the ability to understand decision-making contexts and engage with resource managers and policy makers. It is increasingly being recognized that people who understand the linkages between science and decision making are crucial if science is to better support planning and policy. A new graduate-level seminar, "Making the Connection between Environmental Science and Decision Making," is a core course for a new post-baccalaureate certificate program, Connecting Environmental Science and Decision Making at the University of Arizona. The goal of the course is to provide students with a basic understanding of the dynamics between scientists and decision makers that result in scientific information being incorporated into environmental planning, policy, and management decisions. Through readings from the environmental and social sciences, policy, and planning literature, the course explores concepts including scientific information supply and demand, boundary organizations, co-production of knowledge, platforms for engagement, and knowledge networks. Visiting speakers help students understand some of the challenges of incorporating scientific information into planning and decision making within institutional and political contexts. The course also includes practical aspects of two-way communication via written, oral, and graphical presentations as well as through the interview process to facilitate the transfer of scientific information to decision makers as well as to broader audiences. We aspire to help students develop techniques that improve communication and understanding between scientists and decision-makers, leading to enhanced outcomes in the fields of climate science, water resources, and ecosystem services.

Determination of low ppm levels of dimethyl sulfate in an aqueous soluble API intermediate using liquid-liquid extraction and GC-MS.

PubMed

Zheng, Jie; Pritts, Wayne A; Zhang, Shuhong; Wittenberger, Steve

2009-12-05

Dimethyl sulfate (DMS) is an alkylating reagent commonly used in organic syntheses and pharmaceutical manufacturing processes. Due to its potential carcinogenicity, the level of DMS in the API process needs to be carefully monitored. However, in-process testing for DMS is challenging because of its reactivity and polarity as well as complex matrix effects. In this short communication, we report a GC-MS method for determination of DMS in an API intermediate that is a methyl sulfate salt. To overcome the complex matrix interference, DMS and an internal standard, d6-DMS, were extracted from the matrix with methyl tert-butyl ether. GC separation was conducted on a DB-624 column (30 m long, 0.32 mm ID, 1.8 microm film thickness). MS detection was performed on a single-quad Agilent MSD equipped with an electron impact source while the MSD signal was acquired in selected ion monitoring mode. This GC/MS method showed a linear response for DMS equivalent from 1.0 to 60 ppm. The practical quantitation limit for DMS was 1.0 ppm and the practical detection limit was 0.3 ppm. The relative standard derivation for analyte response was found as 0.1% for six injections of a working standard equivalent to 18.6 ppm of DMS. The spike recovery was ranged from 102.1 to 108.5% for a sample of API intermediate spiked with 8.0 ppm of DMS. In summary, the GC/MS method showed adequate specificity, linearity, sensitivity, repeatability and accuracy for determination of DMS in the API intermediate. This method has been successfully applied to study the efficiency of removing DMS from the process.

Metabolism of reduced methylated sulfur compounds in anaerobic sediments and by a pure culture of an estuarine methanogen

USGS Publications Warehouse

Kiene, R.P.; Oremland, Ronald S.; Catena, Anthony; Miller, Laurence G.; Capone, D.G.

1986-01-01

Addition of dimethylsulfide (DMS), dimethyldisulfide (DMDS), or methane thiol (MSH) to a diversity of anoxic aquatic sediments (e.g., fresh water, estuarine, alkaline/hypersaline) stimulated methane production. The yield of methane recovered from DMS was often 52 to 63%, although high concentrations of DMS (as well as MSH and DMDS) inhibited methanogenesis in some types of sediments. Production of methane from these reduced methylated sulfur compounds was blocked by 2-bromoethanesulfonic acid. Sulfate did not influence the metabolism of millimolar levels of DMS, DMDS, or MSH added to sediments. However, when DMS was added at ∼2-μM levels as [14C]DMS, metabolism by sediments resulted in a 14CH4/14CO2 ratio of only 0.06. Addition of molybdate increased the ratio to 1.8, while 2-bromoethanesulfonic acid decreased it to 0, but did not block 14CO2 production. These results indicate the methanogens and sulfate reducers compete for DMS when it is present at low concentrations; however, at high concentrations, DMS is a “noncompetitive” substrate for methanogens. Metabolism of DMS by sediments resulted in the appearance of MSH as a transient intermediate. A pure culture of an obligately methylotrophic estuarine methanogen was isolated which was capable of growth on DMS. Metabolism of DMS by the culture also resulted in the transient appearance of MSH, but the organism could grow on neither MSH nor DMDS. The culture metabolized [14C]-DMS to yield a 14CH4/14CO2 ratio of ∼2.8. Reduced methylated sulfur compounds represent a new class of substrates for methanogens and may be potential precursors of methane in a variety of aquatic habitats.

Group assessment of key indicators of sustainable waste management in developing countries.

PubMed

Tot, Bojana; Vujić, Goran; Srđević, Zorica; Ubavin, Dejan; Russo, Mário Augusto Tavares

2017-09-01

Decision makers in developing countries are struggling to solve the present problems of solid waste management. Prioritisation and ranking of the most important indicators that influence the waste management system is very useful for any decision maker for the future planning and implementation of a sustainable waste management system. The aim of this study is to evaluate key indicators and their related sub-indicators in a group decision-making environment. In order to gain insight into the subject it was necessary to obtain the qualified opinions of decision makers from different countries who understand the situation in the sector of waste management in developing countries. An assessment is performed by 43 decision makers from both developed and developing countries, and the applied methodology is based on a combined use of the analytic hierarchy process, from the multi-criteria decision-making set of tools, and the preferential voting method known as Borda Count, which belongs to social choice theory. Pairwise comparison of indicators is performed with the analytic hierarchy process, and the ranking of indicators once obtained is assessed with Borda Count. Detailed analysis of the final results showed that the Institutional-Administrative indicator was the most important one, with the maximum weight as derived by both groups of decision makers. The results also showed that the combined use of the analytic hierarchy process and Borda Count contributes to the credibility and objectivity of the decision-making process, allowing its use in more complex waste management group decision-making problems to be recommended.

Impacts of Marine Ecodynamics on the Dimethyl Sulfide(DMS) Production

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Shanlin; Maltrud, Mathew Einar; Elliott, Scott M.

2017-11-05

Given the new explicit Phaeocystis representation, the DMS distribution shows significant improvements, especially regarding the amplitude and location of high latitude peaks. The production of DMS varies with climate. It is therefore necessary to couple the dynamics DMS module in climate projections.

DMS-MaPseq for genome-wide or targeted RNA structure probing in vivo.

PubMed

Zubradt, Meghan; Gupta, Paromita; Persad, Sitara; Lambowitz, Alan M; Weissman, Jonathan S; Rouskin, Silvi

2017-01-01

Coupling of structure-specific in vivo chemical modification to next-generation sequencing is transforming RNA secondary structure studies in living cells. The dominant strategy for detecting in vivo chemical modifications uses reverse transcriptase truncation products, which introduce biases and necessitate population-average assessments of RNA structure. Here we present dimethyl sulfate (DMS) mutational profiling with sequencing (DMS-MaPseq), which encodes DMS modifications as mismatches using a thermostable group II intron reverse transcriptase. DMS-MaPseq yields a high signal-to-noise ratio, can report multiple structural features per molecule, and allows both genome-wide studies and focused in vivo investigations of even low-abundance RNAs. We apply DMS-MaPseq for the first analysis of RNA structure within an animal tissue and to identify a functional structure involved in noncanonical translation initiation. Additionally, we use DMS-MaPseq to compare the in vivo structure of pre-mRNAs with their mature isoforms. These applications illustrate DMS-MaPseq's capacity to dramatically expand in vivo analysis of RNA structure.

Determination of apparent quantum yield spectra of DMS photo-degradation in an in situ iron-induced Northeast Pacific Ocean bloom

NASA Astrophysics Data System (ADS)

Bouillon, René-Christian; Miller, William L.

2004-03-01

The wavelength dependence of the photochemical removal efficiency for DMS was studied for samples from an iron-induced bloom in the Northeastern Pacific Ocean. In July 2002, a 64 km2 patch of ocean was iron-fertilized near Ocean Station Papa (50°12'N 144°45'W). Only small changes in pseudo-first-order apparent quantum yield (AQY*DMS(λ)) were observed outside the iron-patch. However, inside the patch, AQY*DMS(λ) decreased considerably over the two weeks following the initial iron injection. A positive strong correlation was found between pseudo-first-order apparent quantum yield determined at 330 nm (AQY*DMS(330 nm)) and NO3- concentrations. We propose that NO3--photolysis has a substantial influence on DMS photo-degradation rates in oceanic waters. This finding demonstrates that in addition to control DMS production, marine phytoplankton could indirectly influence the DMS photochemical loss rate via its control on NO3- distribution.

Overcoming Fear: Helping Decision Makers Understand Risk in Outdoor Education

ERIC Educational Resources Information Center

Haras, Kathy

2010-01-01

The long history of outdoor education does little to alleviate the fears of many parents, teachers, principals and superintendents who believe that outdoor education is too risky. These decision makers often lack both the knowledge to make informed decisions and the time and resources to investigate their assumptions. Pair these circumstances with…

49 CFR 1503.603 - Separation of functions.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Rules of Practice in TSA Civil Penalty Actions § 1503.603 Separation of functions. (a) Civil penalty... the ALJ or by the TSA decision maker on appeal, except as counsel or a witness in the public... advise the TSA decision maker regarding an initial decision or any appeal of a civil penalty action to...

Participation in treatment decision-making among Chinese-Australian women with breast cancer.

PubMed

Kwok, Cannas; Koo, Fung Kuen

2017-03-01

Using Confucian philosophy as a conceptual framework, this article examines the extent to which cultural values and language affect the participation preferences and experiences of the breast cancer treatment decision-making (TDM) process among Chinese women with breast cancer in Australia. Three focus groups were conducted with 23 Chinese-Australian women diagnosed with breast cancer in their native language (Mandarin and Cantonese). Each interview was translated and transcribed. Content analysis was used to uncover the major themes. Four typologies emerged: the patient as an active decision maker, the patient as a passive decision maker, the patient as a reluctant decision maker and the patient as a reluctant passive decision maker. Language barriers, cultural expectation of doctor's role and family role in Chinese culture appear as influential factors in TDM process among this group of women. Intervention to improve doctors' cultural sensitivities in order to help them assess women's role preferences in TDM and the ability of doctors to communicate in a culturally appropriate manner, may improve the process of breast cancer TDM among women from Chinese background.

Nitrogen Molecule-Dimethyl Sulfide Complex Investigated by Fourier Transform Microwave Spectroscopy and AB Initio Calculation

NASA Astrophysics Data System (ADS)

Kawashima, Yoshiyuki; Iwano, Sakae; Hirota, Eizi

2016-06-01

This paper presents an extension of the preceding talk on the FTMW spectroscopy of N_2-ES (ethylene sulfide), namely the results on N_2-DMS (dimethyl sulfide). We have previously investigated two N_2 complexes: N_2-DME (dimethyl ether), for which we reported a prelimanary result, and N_2-EO (ethylene oxide). We have observed the ground-state rotational spectrum of the N_2-DMS complex, i.e. c-type transitions in the frequency region from 5 to 24 GHz, which we assigned to the normal, 15N_2-DMS, and 15NN-DMS species of the N_2-DMS. We have found both the ortho and para states for the 14N_2-DMS and 15N_2-DMS species. In the case of the 15N_2-DMS, some transitions with Ka = 2 and 3 were observed slightly split by the internal rotation of the two methyl tops of the DMS. The observed spectra of the 15N_2-DMS were analyzed by using the XIAM program. In the case of the para state of the 15N_2-DMS, three rotational and five centrifugal distortion constants with the V3 barrier to the methyl group internal rotation, whereas, in the case of the ortho state of the 15N_2-DMS, two more centrifugal distortion constants, ΦJK and ΦKJ, were needed to reproduce the observed spectra. For the N_2-DMS complex, we concluded that the N_2 moiety was located in a plane perpendicular to the C-S-C plane and bisecting the CSC angle of the DMS. We have carried out ab initio molecular orbital calculations at the level of MP2 with basis sets 6-311++G(d, p), aug-cc-pVDZ, and aug-cc-pVTZ, to complement the information on the intracomplex motions obtained from the observed rotational spectra. We have applied a natural bond orbital (NBO) analysis to the N_2-DMS and N_2-ES to calculate the stabilization energy CT (=Δ Eσσ*), which was closely correlated with the binding energy EB, as found for other related complexes. Y. Kawashima, Y. Tatamitani, Y. Morita, and E. Hirota, 61st International Symposium on Molecular Spectroscopy, TE10 (2006) Y. Kawashima and E. Hirota, J. Phys. Chem. A 2013 117, 13855

Coupling ANIMO and MT3DMS for 3D regional-scale modeling of nutrient transport in soil and groundwater

NASA Astrophysics Data System (ADS)

Janssen, G.; Del Val Alonso, L.; Groenendijk, P.; Griffioen, J.

2012-12-01

We developed an on-line coupling between the 1D/quasi-2D nutrient transport model ANIMO and the 3D groundwater transport model code MT3DMS. ANIMO is a detailed, process-oriented model code for the simulation of nitrate leaching to groundwater, N- and P-loads on surface waters and emissions of greenhouse gasses. It is the leading nutrient fate and transport code in the Netherlands where it is used primarily for the evaluation of fertilization related legislation. In addition, the code is applied frequently in international research projects. MT3DMS is probably the most commonly used groundwater solute transport package worldwide. The on-line model coupling ANIMO-MT3DMS combines the state-of-the-art descriptions of the biogeochemical cycles in ANIMO with the advantages of using a 3D approach for the transport through the saturated domain. These advantages include accounting for regional lateral transport, considering groundwater-surface water interactions more explicitly, and the possibility of using MODFLOW to obtain the flow fields. An additional merit of the on-line coupling concept is that it preserves feedbacks between the saturated and unsaturated zone. We tested ANIMO-MT3DMS by simulating nutrient transport for the period 1970-2007 in a Dutch agricultural polder catchment covering an area of 118 km2. The transient groundwater flow field had a temporal resolution of one day and was calculated with MODFLOW-MetaSWAP. The horizontal resolution of the model grid was 100x100m and consisted of 25 layers of varying thickness. To keep computation times manageable, we prepared MT3DMS for parallel computing, which in itself is a relevant development for a large community of groundwater transport modelers. For the parameterization of the soil, we applied a standard classification approach, representing the area by 60 units with unique combinations of soil type, land use and geohydrological setting. For the geochemical parameterization of the deeper subsurface, however, we applied a novel geostatistical technique, which allocates reactivity parameters to the grid cells by sampling from these parameters' cumulative frequency distribution (CDF) functions. These CDF functions are derived for each relevant geohydrological unit present in the model domain, from datasets of groundwater and sediment analyses. The nutrient loads on the surface water system and the nutrient concentrations in groundwater, simulated by the transport model, are in fair agreement with field measurements. The experience with the test model constitutes a proof-of-concept, justifying further developments towards application of ANIMO-MT3DMS in actual regional decision-making processes.

Alpha-Fair Resource Allocation under Incomplete Information and Presence of a Jammer

NASA Astrophysics Data System (ADS)

Altman, Eitan; Avrachenkov, Konstantin; Garnaev, Andrey

In the present work we deal with the concept of alpha-fair resource allocation in the situation where the decision maker (in our case, the base station) does not have complete information about the environment. Namely, we develop a concept of α-fairness under uncertainty to allocate power resource in the presence of a jammer under two types of uncertainty: (a) the decision maker does not have complete knowledge about the parameters of the environment, but knows only their distribution, (b) the jammer can come into the environment with some probability bringing extra background noise. The goal of the decision maker is to maximize the α-fairness utility function with respect to the SNIR (signal to noise-plus-interference ratio). Here we consider a concept of the expected α-fairness utility function (short-term fairness) as well as fairness of expectation (long-term fairness). In the scenario with the unknown parameters of the environment the most adequate approach is a zero-sum game since it can also be viewed as a minimax problem for the decision maker playing against the nature where the decision maker has to apply the best allocation under the worst circumstances. In the scenario with the uncertainty about jamming being in the system the Nash equilibrium concept is employed since the agents have non-zero sum payoffs: the decision maker would like to maximize either the expected fairness or the fairness of expectation while the jammer would like to minimize the fairness if he comes in on the scene. For all the plots the equilibrium strategies in closed form are found. We have shown that for all the scenarios the equilibrium has to be constructed into two steps. In the first step the equilibrium jamming strategy has to be constructed based on a solution of the corresponding modification of the water-filling equation. In the second step the decision maker equilibrium strategy has to be constructed equalizing the induced by jammer background noise.

The distribution of methylated sulfur compounds, DMS and DMSP, in Canadian subarctic and Arctic marine waters during summer 2015

NASA Astrophysics Data System (ADS)

Jarníková, Tereza; Dacey, John; Lizotte, Martine; Levasseur, Maurice; Tortell, Philippe

2018-04-01

We present seawater concentrations of dimethyl sulfide (DMS) and dimethylsulfoniopropionate (DMSP) measured across a transect from the Labrador Sea to the Canadian Arctic Archipelago during summer 2015. Using an automated ship-board gas chromatography system and a membrane-inlet mass spectrometer, we measured a wide range of DMS (˜ 1 to 18 nM) and DMSP (˜ 1 to 150 nM) concentrations. The highest DMS and DMSP concentrations occurred in a localized region of Baffin Bay, where surface waters were characterized by high chlorophyll a (chl a) fluorescence, indicative of elevated phytoplankton biomass. Across the full sampling transect, there were only weak relationships between DMS(P), chl a fluorescence and other measured variables, including positive relationships between DMSP : chl a ratios and several taxonomic marker pigments, and elevated DMS(P) concentrations in partially ice-covered areas. Our high spatial resolution measurements allowed us to examine DMS variability over small scales (< 1 km), documenting strong DMS concentration gradients across surface hydrographic frontal features. Our new observations fill in an important observational gap in the Arctic Ocean and provide additional information on sea-air DMS fluxes from this ocean region. In addition, this study constitutes a significant contribution to the existing Arctic DMS(P) dataset and provides a baseline for future measurements in the region.

Grazing-Activated Production of Dimethyl Sulfide (DMS) by two clones of Emiliania huxleyi

NASA Technical Reports Server (NTRS)

Wolfe, Gordon V.; Steinke, Michael

1996-01-01

Emiliania huxleyi clones CCMP 370 and CCMP 373 produced similar amounts of dimethylsulfoniopropionate (DMSP) during axenic exponential growth, averaging 109 mM internal DMSP. Both clones had detectable DMSP lyase activity, as measured by production of dimethyl sulfide (DMS) during in vitro assays of crude cell preparations, but activities and conditions differed considerably between clones. Clone 373 had high activity; clone 370 had low activity and required chloride. For both strains, enzyme activity per cell was constant during exponential growth, but little DMS was produced by healthy cells. Rather, DMS production was activated when cells were subjected to physical or chemical stresses that caused cell lysis. We propose that DMSP lyase and DMSP are segregated within these cells and re-action only under conditions that result in cell stress or damage. Such activation occurs during microzooplankton grazing. When these clones were grazed by the dinoflagellate Oxyrrhis marina, DMS was produced; ungrazed cells, as well as those exposed to grazer exudates and associated bacteria, generated no DMS. Grazing of clone 373 produced much more DMS than grazing of clone 370, consistent with their relative in vitro DMSP lyase activities. DMS was only generated when cells were actually being grazed, indicating that ingested cells were responsible for the DMS formation. We suggest that even low levels of grazing can greatly accelerate DMS production.

A new web-based framework development for fuzzy multi-criteria group decision-making.

PubMed

Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik

2016-01-01

Fuzzy multi-criteria group decision making (FMCGDM) process is usually used when a group of decision-makers faces imprecise data or linguistic variables to solve the problems. However, this process contains many methods that require many time-consuming calculations depending on the number of criteria, alternatives and decision-makers in order to reach the optimal solution. In this study, a web-based FMCGDM framework that offers decision-makers a fast and reliable response service is proposed. The proposed framework includes commonly used tools for multi-criteria decision-making problems such as fuzzy Delphi, fuzzy AHP and fuzzy TOPSIS methods. The integration of these methods enables taking advantages of the strengths and complements each method's weakness. Finally, a case study of location selection for landfill waste in Morocco is performed to demonstrate how this framework can facilitate decision-making process. The results demonstrate that the proposed framework can successfully accomplish the goal of this study.

Prevalence and clinical characteristics of degenerative mitral stenosis.

PubMed

Ukita, Yasuyuki; Yuda, Satoshi; Sugio, Hideaki; Yonezawa, Ayaka; Takayanagi, Yuka; Masuda-Yamamoto, Hitomi; Tanaka-Saito, Norie; Ohnishi, Hirofumi; Miura, Tetsuji

2016-09-01

Degenerative mitral stenosis (DMS) is found in the elderly population. However, there are a few reports regarding the prevalence rate of DMS and, its clinical characteristics. The aim of this study was to determine the relationship between age, gender, and the prevalence rate of DMS. Patients with DMS and rheumatic mitral stenosis (RMS) were searched retrospectively in consecutive patients who underwent echocardiography from January 2011 to December 2013 in a community hospital. DMS was defined as presence of both turbulent antegrade flow with a mean transmitral pressure gradient (PG) of ≥2mmHg and mitral annular calcification without restriction of leaflets tip motion. We identified 19 patients (17 female and 2 male) with DMS (0.22%) and 19 patients with RMS in 8683 patients. The prevalence rate of DMS significantly increased with aging, especially in patients >90 years old. There was no significant difference in the prevalence rates of RMS among the age groups. Patients with DMS were older (86±8 years vs. 73±10 years, p<0.01) and had higher rates of hypertension and aortic stenosis, larger left ventricular mass index, and mean PG of aortic valve, smaller aortic valve area, less degree of left atrial dilatation, and lower rate of atrial fibrillation, compared with those values in patients with RMS. DMS is rare (0.22%) and almost exclusively found in females in routine echocardiography. The prevalence of DMS increases with aging to 2.5% in patients >90 years of age, and DMS is often associated with aortic valve stenosis. Copyright © 2015 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Determination of the photolysis rate coefficient of monochlorodimethyl sulfide (MClDMS) in the atmosphere and its implications for the enhancement of SO2 production from the DMS + Cl2 reaction.

PubMed

Copeland, G; Lee, E P F; Williams, R G; Archibald, A T; Shallcross, D E; Dyke, J M

2014-01-01

In this work, the photolysis rate coefficient of CH3SCH2Cl (MClDMS) in the lower atmosphere has been determined and has been used in a marine boundary layer (MBL) box model to determine the enhancement of SO2 production arising from the reaction DMS + Cl2. Absorption cross sections measured in the 28000-34000 cm(-1) region have been used to determine photolysis rate coefficients of MClDMS in the troposphere at 10 solar zenith angles (SZAs). These have been used to determine the lifetimes of MClDMS in the troposphere. At 0° SZA, a photolysis lifetime of 3-4 h has been obtained. The results show that the photolysis lifetime of MClDMS is significantly smaller than the lifetimes with respect to reaction with OH (≈ 4.6 days) and with Cl atoms (≈ 1.2 days). It has also been shown, using experimentally derived dissociation energies with supporting quantum-chemical calculations, that the dominant photodissocation route of MClDMS is dissociation of the C-S bond to give CH3S and CH2Cl. MBL box modeling calculations show that buildup of MClDMS at night from the Cl2 + DMS reaction leads to enhanced SO2 production during the day. The extra SO2 arises from photolysis of MClDMS to give CH3S and CH2Cl, followed by subsequent oxidation of CH3S.

Communicating the Needs of Climate Change Policy Makers to Scientists

NASA Technical Reports Server (NTRS)

Brown, Molly E.; Escobar, Vanessa M.; Lovell, Heather

2012-01-01

This chapter will describe the challenges that earth scientists face in developing science data products relevant to decision maker and policy needs, and will describe strategies that can improve the two-way communication between the scientist and the policy maker. Climate change policy and decision making happens at a variety of scales - from local government implementing solar homes policies to international negotiations through the United Nations Framework Convention on Climate Change. Scientists can work to provide data at these different scales, but if they are not aware of the needs of decision makers or understand what challenges the policy maker is facing, they are likely to be less successful in influencing policy makers as they wished. This is because the science questions they are addressing may be compelling, but not relevant to the challenges that are at the forefront of policy concerns. In this chapter we examine case studies of science-policy partnerships, and the strategies each partnership uses to engage the scientist at a variety of scales. We examine three case studies: the global Carbon Monitoring System pilot project developed by NASA, a forest biomass mapping effort for Silvacarbon project, and a forest canopy cover project being conducted for forest management in Maryland. In each of these case studies, relationships between scientists and policy makers were critical for ensuring the focus of the science as well as the success of the decision-making.

Waste Receiving and Processing (WRAP) Facility PMS Test Report For Data Management System (DMS) Security Test DMS-Y2K

DOE Office of Scientific and Technical Information (OSTI.GOV)

PALMER, M.E.

1999-09-21

Test Plan HNF-4351 defines testing requirements for installation of a new server in the WRAP Facility. This document shows the results of the test reports on the DMS-Y2K and DMS-F81 (Security) systems.

Testing information to improve communication with communities and decision makers.

DOT National Transportation Integrated Search

2011-09-01

This work focuses on important concepts in making information available to decision makers and the : public, specifically focused on the Transportation Industry. The emphasis is on the PowerPoint : presentation and enhancing the message through this ...

Delegating Decisions to Experts

ERIC Educational Resources Information Center

Li, Hao; Suen, Wing

2004-01-01

We present a model of delegation with self-interested and privately informed experts. A team of experts with extreme but opposite biases is acceptable to a wide range of decision makers with diverse preferences, but the value of expertise from such a team is low. A decision maker wants to appoint experts who are less partisan than he is in order…

Priority setting: what constitutes success? A conceptual framework for successful priority setting.

PubMed

Sibbald, Shannon L; Singer, Peter A; Upshur, Ross; Martin, Douglas K

2009-03-05

The sustainability of healthcare systems worldwide is threatened by a growing demand for services and expensive innovative technologies. Decision makers struggle in this environment to set priorities appropriately, particularly because they lack consensus about which values should guide their decisions. One way to approach this problem is to determine what all relevant stakeholders understand successful priority setting to mean. The goal of this research was to develop a conceptual framework for successful priority setting. Three separate empirical studies were completed using qualitative data collection methods (one-on-one interviews with healthcare decision makers from across Canada; focus groups with representation of patients, caregivers and policy makers; and Delphi study including scholars and decision makers from five countries). This paper synthesizes the findings from three studies into a framework of ten separate but interconnected elements germane to successful priority setting: stakeholder understanding, shifted priorities/reallocation of resources, decision making quality, stakeholder acceptance and satisfaction, positive externalities, stakeholder engagement, use of explicit process, information management, consideration of values and context, and revision or appeals mechanism. The ten elements specify both quantitative and qualitative dimensions of priority setting and relate to both process and outcome components. To our knowledge, this is the first framework that describes successful priority setting. The ten elements identified in this research provide guidance for decision makers and a common language to discuss priority setting success and work toward improving priority setting efforts.

MT3DMS: Model use, calibration, and validation

USGS Publications Warehouse

Zheng, C.; Hill, Mary C.; Cao, G.; Ma, R.

2012-01-01

MT3DMS is a three-dimensional multi-species solute transport model for solving advection, dispersion, and chemical reactions of contaminants in saturated groundwater flow systems. MT3DMS interfaces directly with the U.S. Geological Survey finite-difference groundwater flow model MODFLOW for the flow solution and supports the hydrologic and discretization features of MODFLOW. MT3DMS contains multiple transport solution techniques in one code, which can often be important, including in model calibration. Since its first release in 1990 as MT3D for single-species mass transport modeling, MT3DMS has been widely used in research projects and practical field applications. This article provides a brief introduction to MT3DMS and presents recommendations about calibration and validation procedures for field applications of MT3DMS. The examples presented suggest the need to consider alternative processes as models are calibrated and suggest opportunities and difficulties associated with using groundwater age in transport model calibration.

Identifying research priorities for health care priority setting: a collaborative effort between managers and researchers

PubMed Central

Smith, Neale; Mitton, Craig; Peacock, Stuart; Cornelissen, Evelyn; MacLeod, Stuart

2009-01-01

Background To date there has been relatively little published about how research priorities are set, and even less about methods by which decision-makers can be engaged in defining a relevant and appropriate research agenda. We report on a recent effort in British Columbia to have researchers and decision-makers jointly establish an agenda for future research into questions of resource allocation. Methods The researchers enlisted decision-maker partners from each of British Columbia's six health authorities. Three forums were held, at which researchers and decision-makers from various levels in the health authorities considered possible research areas related to three key focus areas: (1) generation and use of decision criteria and measurement of 'benefit' against such criteria; (2) identification of so-called 'disinvestment' opportunities; and (3) evaluation of the effectiveness of priority setting procedures. Detailed notes were taken from each forum and synthesized into a set of qualitative themes. Results Forum participants suggested that future research into healthcare priority setting would benefit from studies that were longitudinal, comparative, and/or interdisciplinary. As well, participants identified two broad theme areas in which specific research projects were deemed desirable. First, future research might usefully consider how formal priority setting and resource allocation projects are situated within a larger organizational and political context. Second, additional research efforts should be devoted to better understanding and improving the actual implementation of priority setting frameworks, particularly with respect to issues of change management and the resolution of impediments to action on recommendations for resource allocation. Conclusion We were able to validate the importance of initial areas posed to the group and observed emergence of additional concerns and directions of critical importance to these decision-makers at this time. It is likely that the results are broadly applicable to other healthcare contexts. The implementation of this research agenda in British Columbia will depend upon the ability of the researchers and decision-makers to develop particular projects that fit within the constraints of existing funding opportunities. The process of engagement itself had benefits in terms of connecting decision-makers with their peers and sparking increased interest in the use and refinement of priority setting frameworks. PMID:19754969

Fuzzy risk explicit interval linear programming model for end-of-life vehicle recycling planning in the EU.

PubMed

Simic, Vladimir

2015-01-01

End-of-life vehicles (ELVs) are vehicles that have reached the end of their useful lives and are no longer registered or licensed for use. The ELV recycling problem has become very serious in the last decade and more and more efforts are made in order to reduce the impact of ELVs on the environment. This paper proposes the fuzzy risk explicit interval linear programming model for ELV recycling planning in the EU. It has advantages in reflecting uncertainties presented in terms of intervals in the ELV recycling systems and fuzziness in decision makers' preferences. The formulated model has been applied to a numerical study in which different decision maker types and several ELV types under two EU ELV Directive legislative cases were examined. This study is conducted in order to examine the influences of the decision maker type, the α-cut level, the EU ELV Directive and the ELV type on decisions about vehicle hulks procuring, storing unprocessed hulks, sorting generated material fractions, allocating sorted waste flows and allocating sorted metals. Decision maker type can influence quantity of vehicle hulks kept in storages. The EU ELV Directive and decision maker type have no influence on which vehicle hulk type is kept in the storage. Vehicle hulk type, the EU ELV Directive and decision maker type do not influence the creation of metal allocation plans, since each isolated metal has its regular destination. The valid EU ELV Directive eco-efficiency quotas can be reached even when advanced thermal treatment plants are excluded from the ELV recycling process. The introduction of the stringent eco-efficiency quotas will significantly reduce the quantities of land-filled waste fractions regardless of the type of decision makers who will manage vehicle recycling system. In order to reach these stringent quotas, significant quantities of sorted waste need to be processed in advanced thermal treatment plants. Proposed model can serve as the support for the European vehicle recycling managers in creating more successful ELV recycling plans. Copyright © 2014 Elsevier Ltd. All rights reserved.

Barriers to electric energy efficiency in Ghana

NASA Astrophysics Data System (ADS)

Berko, Joseph Kofi, Jr.

Development advocates argue that sustainable development strategies are the best means to permanently improve living standards in developing countries. Advocates' arguments are based on the technical, financial, and environmental advantages of sustainable development. However, they have not addressed the organizational and administrative decision-making issues which are key to successful implementation of sustainable development in developing countries. Using the Ghanaian electricity industry as a case study, this dissertation identifies and analyzes organizational structures, administrative mechanisms, and decision-maker viewpoints that critically affect the success of adoption and implementation of energy efficiency within a sustainable development framework. Utilizing semi-structured interviews in field research, decision-makers' perceptions of the pattern of the industry's development, causes of the electricity supply shortfall, and barriers to electricity-use efficiency were identified. Based on the initial findings, the study formulated a set of policy initiatives to establish support for energy use efficiency. In a second set of interviews, these policy suggestions were presented to some of the top decision-makers to elicit their reactions. According to the decision-makers, the electricity supply shortfall is due to rapid urbanization and increased industrial consumption as a result of the structural adjustment program, rural electrification, and the sudden release of suppressed loads. The study found a lack of initiative and collaboration among industry decision-makers, and a related divergence in decision-makers' concerns and viewpoints. Also, lacking are institutional support systems and knowledge of proven energy efficiency strategies and technologies. As a result, planning, and even the range of perceived solutions to choose from are supply-side oriented. The final chapter of the study presents implications of its findings and proposes that any implementation strategy will have to address the different decision-makers' concerns and viewpoints. These include the need for national policies to promote electric energy efficiency and institutional development to provide support, guidance and direction to an energy efficiency effort. It also proposes structural changes within the industry to reduce government influence by creating an independent regulatory board. Finally, it proposes the adoption of integrated resource planning strategies and changes in the supply-side dominated culture within the electric utilities.

Utilization of Dimethyl Sulfide as a Sulfur Source with the Aid of Light by Marinobacterium sp. Strain DMS-S1

PubMed Central

Fuse, Hiroyuki; Takimura, Osamu; Murakami, Katsuji; Yamaoka, Yukiho; Omori, Toshio

2000-01-01

Strain DMS-S1 isolated from seawater was able to utilize dimethyl sulfide (DMS) as a sulfur source only in the presence of light in a sulfur-lacking medium. Phylogenetic analysis based on 16S ribosomal DNA genes indicated that the strain was closely related to Marinobacterium georgiense. The strain produced dimethyl sulfoxide (DMSO), which was a main metabolite, and small amounts of formate and formaldehyde when grown on DMS as the sole sulfur source. The cells of the strain grown with succinate as a carbon source were able to use methyl mercaptan or methanesulfonate besides DMS but not DMSO or dimethyl sulfone as a sole sulfur source. DMS was transformed to DMSO primarily at wavelengths between 380 and 480 nm by heat-stable photosensitizers released by the strain. DMS was also degraded to formaldehyde in the presence of light by unidentified heat-stable factors released by the strain, and it appeared that strain DMS-S1 used the degradation products, which should be sulfite, sulfate, or methanesulfonate, as sulfur sources. PMID:11097944

Transcriptional regulation of dimethyl sulfoxide respiration in a haloarchaeon, Haloferax volcanii.

PubMed

Qi, Qiuzi; Ito, Yoshiyasu; Yoshimatsu, Katsuhiko; Fujiwara, Taketomo

2016-01-01

The halophilic euryarchaeon Haloferax volcanii can grow anaerobically by DMSO respiration. DMSO reductase was induced by DMSO respiration not only under anaerobic growth conditions but also in denitrifying cells of H. volcanii. Deletion of the dmsR gene, encoding a putative regulator for the DMSO reductase, resulted in the loss of anaerobic growth by DMSO respiration. Reporter experiments revealed that only the anaerobic condition was essential for transcription of the dmsEABCD genes encoding DMSO reductase and that transcription was enhanced threefold by supplementation of DMSO. In the ∆dmsR mutant, transcription of the dmsEABCD genes induced by the anaerobic condition was not enhanced by DMSO, suggesting that DmsR is a DMSO-responsive regulator. Transcriptions of the dmsR and mgd genes for Mo-bisMGD biosynthesis were regulated in the same manner as the dmsEABCD genes. These results suggest that the genetic regulation of DMSO respiration in H. volcanii is controlled by at least two systems: one is the DMSO-responsive DmsR, and the other is an unknown anaerobic regulator.

Dimethyl sulfide in the surface ocean and the marine atmosphere: a global view.

PubMed

Andreae, M O; Raemdonck, H

1983-08-19

Dimethyl sulfide (DMS) has been identified as the major volatile sulfur compound in 628 samples of surface seawater representing most of the major oceanic ecozones. In at least three respects, its vertical distribution, its local patchiness, and its distribution in oceanic ecozones, the concentration of DMS in the sea exhibits a pattern similar to that of primary production. The global weightedaverage concentration of DMS in surface seawater is 102 nanograms of sulfur (DMS) per liter, corresponding to a global sea-to-air flux of 39 x 10(12) grams of sulfur per year. When the biogenic sulfur contributions from the land surface are added, the biogenic sulfur gas flux is approximately equal to the anthropogenic flux of sulfur dioxide. The DMS concentration in air over the equatorial Pacific varies diurnally between 120 and 200 nanograms of sulfur (DMS) per cubic meter, in agreement with the predictions of photochemical models. The estimated source flux of DMS from the oceans to the marine atmosphere is in agreement with independently obtained estimates of the removal fluxes of DMS and its oxidation products from the atmosphere.

Dimethyl Sulfide in the Surface Ocean and the Marine Atmosphere: A Global View

NASA Astrophysics Data System (ADS)

Andreae, Meinrat O.; Raemdonck, Hans

1983-08-01

Dimethyl sulfide (DMS) has been identified as the major volatile sulfur compound in 628 samples of surface seawater representing most of the major oceanic ecozones. In at least three respects, its vertical distribution, its local patchiness, and its distribution in oceanic ecozones, the concentration of DMS in the sea exhibits a pattern similar to that of primary production. The global weighted-average concentration of DMS in surface seawater is 102 nanograms of sulfur (DMS) per liter, corresponding to a global sea-to-air flux of 39 × 1012 grams of sulfur per year. When the biogenic sulfur contributions from the land surface are added, the biogenic sulfur gas flux is approximately equal to the anthropogenic flux of sulfur dioxide. The DMS concentration in air over the equatorial Pacific varies diurnally between 120 and 200 nanograms of sulfur (DMS) per cubic meter, in agreement with the predictions of photochemical models. The estimated source flux of DMS from the oceans to the marine atmosphere is in agreement with independently obtained estimates of the removal fluxes of DMS and its oxidation products from the atmosphere.

Rationality versus reality: the challenges of evidence-based decision making for health policy makers

PubMed Central

2010-01-01

Background Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. Discussion We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. Summary In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved. PMID:20504357

Rationality versus reality: the challenges of evidence-based decision making for health policy makers.

PubMed

McCaughey, Deirdre; Bruning, Nealia S

2010-05-26

Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved.

Linking science, public values, and decision-making: Case study development for public deliberations about climate change resilience

NASA Astrophysics Data System (ADS)

Weller, N.; Bennett, I.; Bernstein, M.; Farooque, M.; Lloyd, J.; Lowenthal, C.; Sittenfeld, D.

2016-12-01

Actionable science seeks to align scientific inquiry with decision-making priorities to overcome rifts between scientific knowledge and the needs of decision makers. Combining actionable science with explorations of public values and priorities creates useful support for decision makers facing uncertainty, tradeoffs, and limited resources. As part of a broader project to create public forums about climate change resilience, we convened workshops with decision makers, resilience experts, and community stakeholders to discuss climate change resilience. Our goals were 1) to create case studies of resilience strategies for use in public deliberations at science museums across 8 U.S. cities; and 2) to build relationships with decision makers and stakeholders interested in these public deliberations. Prior to workshops, we created summaries of resilience strategies using academic literature, government assessments, municipal resilience plans, and conversations with workshop participants. Workshops began with example deliberation activities followed by semi-structured discussions of resilience strategies centered on 4 questions: 1) What are the key decisions to be made regarding each strategy? 2) What stakeholders and perspectives are relevant to each strategy? 3) What available data are relevant to each strategy? 4) What visualizations or other resources are useful for communicating things about each strategy? Workshops yielded actionable dialogue regarding issues of justice, feasibility, and the socio-ecological-technical systems impacted by climate change hazards and resilience strategies. For example, discussions of drought revealed systemic and individual-level challenges and opportunities; discussions of sea level rise included ways to account for the cultural significance of many coastal communities. The workshops provide a model for identifying decision-making priorities and tradeoffs and building partnerships among stakeholders, scientists, and decision makers.

Influence of dimethyl sulfide on the carbon cycle and biological production

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Shanlin; Maltrud, Mathew; Elliott, Scott

Dimethyl sulfide (DMS) is a significant source of marine sulfate aerosol and plays an important role in modifying cloud properties. Fully coupled climate simulations using dynamic marine ecosystem and DMS calculations are conducted to estimate DMS fluxes under various climate scenarios and to examine the sign and strength of phytoplankton-DMS-climate feedbacks for the first time. Simulation results show small differences in the DMS production and emissions between pre-industrial and present climate scenarios, except for some areas in the Southern Ocean. There are clear changes in surface ocean DMS concentrations moving into the future, and they are attributable to changes inmore » phytoplankton production and competition driven by complex spatially varying mechanisms. Comparisons between parallel simulations with and without DMS fluxes into the atmosphere show significant differences in marine ecosystems and physical fields. Without DMS, the missing subsequent aerosol indirect effects on clouds and radiative forcing lead to fewer clouds, more solar radiation, and a much warmer climate. Phaeocystis, a uniquely efficient organosulfur producer with a growth advantage under cooler climate states, can benefit from producing the compound through cooling effects of DMS in the climate system. Our results show a tight coupling between the sulfur and carbon cycles. The ocean carbon uptake declines without DMS emissions to the atmosphere. The analysis indicates a weak positive phytoplankton-DMS-climate feedback at the global scale, with large spatial variations driven by individual autotrophic functional groups and complex mechanisms. The sign and strength of the feedback vary with climate states and phytoplankton groups. This highlights the importance of a dynamic marine ecosystem module and the sulfur cycle mechanism in climate projections.« less

Occurrence and Turnover of Biogenic Sulfur in the Bering Sea During Summer

NASA Astrophysics Data System (ADS)

Li, Cheng-Xuan; Wang, Bao-Dong; Yang, Gui-Peng; Wang, Zi-Cheng; Chen, Jian-Fang; Lyu, Yang

2017-11-01

The horizontal/geographical variations in dissolved dimethylsulfide (DMS), its precursor dimethylsulfoniopropionate (DMSPd and DMSPp), and chlorophyll a (Chl a), as well as the oceanographic parameters influencing the concentrations of dimethylated sulfur compounds, were investigated in the Bering Sea from July to August 2012. Similar to Chl a, the surface DMS and DMSPp levels, as well as DMS(P) production and consumption rates, exhibited a declining gradient from the central basin to the continental shelf, with high-value areas appearing in the central basin, the slope regions, and Anadyr Strait but a low-value area occurring on the outer-middle continental shelf. Considerably high values of DMS and DMSP were measured in the saline Bering Sea Basin Deep Water (>2,000 m) located at the southwest of the Bering Basin because of the release of resuspension in 2,000 m depth and the DMSP production from endogenous benthic bacteria and cyanobacteria population. Chl a was positively correlated with DMSPp and DMS in the surface waters and the upper water of the basin, whereas significant negative correlations were found between DMS and nutrients (dissolved inorganic nitrogen [DIN], phosphorus, and silicate) in the inner shelf of the Bering Sea. DMS microbial consumption was approximately 6.26 times faster than the DMS sea-air exchange, demonstrating that the major loss of DMS in the surface water occurred through biological consumption relative to evasion into the atmosphere. Average sea-to-air DMS fluxes were estimated to be 4.66 μmol/(m2·d), and consequently oceanic biogenic DMS emission had a dominant contribution to the sulfur budget over the observational area.

Healthcare use and expenditure for diabetes in Bangladesh

PubMed Central

Lechner, Andreas; Ferrari, Uta; Laxy, Michael; Seissler, Jochen; Brown, Jonathan; Niessen, Louis W; Holle, Rolf

2017-01-01

Background Diabetes imposes a huge social and economic impact on nations. However, information on the costs of treating and managing diabetes in developing countries is limited. The aim of this study was to estimate healthcare use and expenditure for diabetes in Bangladesh. Methods We conducted a matched case–control study between January and July 2014 among 591 adults with diagnosed diabetes mellitus (DMs) and 591 age-matched, sex-matched and residence-matched persons without diabetes mellitus (non-DMs). We recruited DMs from consecutive patients and non-DMs from accompanying persons in the Bangladesh Institute of Health Science (BIHS) hospital in Dhaka, Bangladesh. We estimated the impact of diabetes on healthcare use and expenditure by calculating ratios and differences between DMs and non-DMs for all expenses related to healthcare use and tested for statistical difference using Student's t-tests. Results DMs had two times more days of inpatient treatment, 1.3 times more outpatient visits, and 9.7 times more medications than non-DMs (all p<0.005). The total annual per capita expenditure on medical care was 6.1 times higher for DMs than non-DMs (US$635 vs US$104, respectively). Among DMs, 9.8% reported not taking any antidiabetic medications, 46.4% took metformin, 38.7% sulfonylurea, 40.8% insulin, 38.7% any antihypertensive medication, and 14.2% took anti-lipids over the preceding 3 months. Conclusions Diabetes significantly increases healthcare use and expenditure and is likely to impose a huge economic burden on the healthcare systems in Bangladesh. The study highlights the importance of prevention and optimum management of diabetes in Bangladesh and other developing countries, to gain a strong economic incentive through implementing multisectoral approach and cost-effective prevention strategies. PMID:28588991

Dimethyl sulfide in the Amazon rain forest: DMS in the Amazon

DOE PAGES

Jardine, K.; Yañez-Serrano, A. M.; Williams, J.; ...

2015-01-08

Surface-to-atmosphere emissions of dimethyl sulfide (DMS) may impact global climate 44 through the formation of gaseous sulfuric acid, which can yield secondary sulfate 45 aerosols and contribute to new particle formation. While oceans are generally 46 considered the dominant source of DMS, a shortage of ecosystem observations prevents 47 an accurate analysis of terrestrial DMS sources. Using mass spectrometry, we quantified 48 ambient DMS mixing ratios within and above a primary rainforest ecosystem in the 49 central Amazon Basin in real-time (2010-2011) and at high vertical resolution (2013-50 2014). Elevated but highly variable DMS mixing ratios were observed within themore » 51 canopy, showing clear evidence of a net ecosystem source to the atmosphere during 52 both day and night in both the dry and wet seasons. Periods of high DMS mixing ratios 53 lasting up to 8 hours (up to 160 ppt) often occurred within the canopy and near the 54 surface during many evenings and nights. Daytime gradients showed mixing ratios (up 55 to 80 ppt) peaking near the top of the canopy as well as near the ground following a rain 56 event. The spatial and temporal distribution of DMS suggests that ambient levels and 57 their potential climatic impacts are dominated by local soil and plant emissions. A soil 58 source was confirmed by measurements of DMS emission fluxes from Amazon soils as 59 a function of temperature and soil moisture. Furthermore, light and temperature 60 dependent DMS emissions were measured from seven tropical tree species. Our study 61 has important implications for understanding terrestrial DMS sources and their role in 62 coupled land-atmosphere climate feedbacks. 63« less

Development of accurate dimethyl sulphide primary standard gas mixtures at low nanomole per mole levels in high-pressure aluminium cylinders for ambient measurements

NASA Astrophysics Data System (ADS)

Eon Kim, Mi; Kang, Ji Hwan; Doo Kim, Yong; Lee, Dong Soo; Lee, Sangil

2018-04-01

Dimethyl sulphide (DMS) plays an important role in atmospheric chemistry and climate change. Ambient DMS is monitored in a global network and reported at sub-nanomole per mole (nmol/mol) levels. Developing traceable, accurate DMS standards at ambient levels is essential for tracking the long-term trends and understanding the role of DMS in the atmosphere. Gravimetrically prepared gas standards in cylinders are widely used for calibrating instruments. Therefore, a stable primary standard gas mixture (PSM) is required for traceable ambient DMS measurement at remote sites. In this study, to evaluate adsorption loss on the internal surface of the gas cylinder, 6 nmol mol-1 DMS gas mixtures were prepared in three types of aluminium cylinders: a cylinder without a special coating on its internal surface (AL), an Aculife IV  +  III-treated cylinder (AC), and an Experis-treated cylinder (EX). There was little adsorption loss on the EX cylinder, whereas there was substantial adsorption loss on the other two cylinders. The EX cylinder was used to prepare 0.5, 2, 5, and 7 nmol mol-1 DMS PSMs with relative expanded uncertainties of less than 0.4%. The DMS PSMs were analytically verified and consistent within a relative expanded uncertainty of less than 1.2%. The long-term stability of the 7 nmol mol-1 DMS PSM was assessed by tracking the ratio of the DMS to the internal standard, benzene. The results showed that the DMS was stable for about seven months and it was projected to be stable for more than 60 months within a relative expanded uncertainty of 3%.

Influence of dimethyl sulfide on the carbon cycle and biological production

DOE PAGES

Wang, Shanlin; Maltrud, Mathew; Elliott, Scott; ...

2018-02-27

Dimethyl sulfide (DMS) is a significant source of marine sulfate aerosol and plays an important role in modifying cloud properties. Fully coupled climate simulations using dynamic marine ecosystem and DMS calculations are conducted to estimate DMS fluxes under various climate scenarios and to examine the sign and strength of phytoplankton-DMS-climate feedbacks for the first time. Simulation results show small differences in the DMS production and emissions between pre-industrial and present climate scenarios, except for some areas in the Southern Ocean. There are clear changes in surface ocean DMS concentrations moving into the future, and they are attributable to changes inmore » phytoplankton production and competition driven by complex spatially varying mechanisms. Comparisons between parallel simulations with and without DMS fluxes into the atmosphere show significant differences in marine ecosystems and physical fields. Without DMS, the missing subsequent aerosol indirect effects on clouds and radiative forcing lead to fewer clouds, more solar radiation, and a much warmer climate. Phaeocystis, a uniquely efficient organosulfur producer with a growth advantage under cooler climate states, can benefit from producing the compound through cooling effects of DMS in the climate system. Our results show a tight coupling between the sulfur and carbon cycles. The ocean carbon uptake declines without DMS emissions to the atmosphere. The analysis indicates a weak positive phytoplankton-DMS-climate feedback at the global scale, with large spatial variations driven by individual autotrophic functional groups and complex mechanisms. The sign and strength of the feedback vary with climate states and phytoplankton groups. This highlights the importance of a dynamic marine ecosystem module and the sulfur cycle mechanism in climate projections.« less

An updated climatology of surface dimethlysulfide concentrations and emission fluxes in the global ocean

NASA Astrophysics Data System (ADS)

Lana, A.; Bell, T. G.; Simó, R.; Vallina, S. M.; Ballabrera-Poy, J.; Kettle, A. J.; Dachs, J.; Bopp, L.; Saltzman, E. S.; Stefels, J.; Johnson, J. E.; Liss, P. S.

2011-03-01

The potentially significant role of the biogenic trace gas dimethylsulfide (DMS) in determining the Earth's radiation budget makes it necessary to accurately reproduce seawater DMS distribution and quantify its global flux across the sea/air interface. Following a threefold increase of data (from 15,000 to over 47,000) in the global surface ocean DMS database over the last decade, new global monthly climatologies of surface ocean DMS concentration and sea-to-air emission flux are presented as updates of those constructed 10 years ago. Interpolation/extrapolation techniques were applied to project the discrete concentration data onto a first guess field based on Longhurst's biogeographic provinces. Further objective analysis allowed us to obtain the final monthly maps. The new climatology projects DMS concentrations typically in the range of 1-7 nM, with higher levels occurring in the high latitudes, and with a general trend toward increasing concentration in summer. The increased size and distribution of the observations in the DMS database have produced in the new climatology substantially lower DMS concentrations in the polar latitudes and generally higher DMS concentrations in regions that were severely undersampled 10 years ago, such as the southern Indian Ocean. Using the new DMS concentration climatology in conjunction with state-of-the-art parameterizations for the sea/air gas transfer velocity and climatological wind fields, we estimate that 28.1 (17.6-34.4) Tg of sulfur are transferred from the oceans into the atmosphere annually in the form of DMS. This represents a global emission increase of 17% with respect to the equivalent calculation using the previous climatology. This new DMS climatology represents a valuable tool for atmospheric chemistry, climate, and Earth System models.

Determinations of dimethylsulphoniopropionate (DMSP) lyase activity using headspace analysis of dimethylsulphide (DMS)

NASA Astrophysics Data System (ADS)

Steinke, M.; Malin, G.; Turner, S. M.; Liss, P. S.

2000-08-01

The osmolyte dimethylsulphoniopropionate (DMSP) can be enzymatically cleaved to dimethylsulphide (DMS), acrylate and a proton. The enzyme involved in this reaction is dimethylpropiothetin dethiomethylase (DMSP lyase; enzyme classification number 4.4.1.3.). Although the importance of this reaction for the global sulphur cycle, the influence of DMS on atmospheric acidity and the possible effect on climate regulation have been widely recognised, our knowledge of DMSP lyases is limited to just a few studies. Activity measurements of DMSP lyases offer an important step towards a better understanding of the conditions under which DMS is produced. In the available published data somewhat similar methods have been used before, but a critical examination of the method limitations has not been reported. To encourage further research on this enzyme, we suggest and detail two protocols for measurements of DMSP lyase activity: An in vitro assay for crude cell extracts or purified enzyme and an in vivo method for whole cells, which we recently started to use. After addition of DMSP, samples incubated in a gas tight vial may produce DMS from enzymatic cleavage under suitable conditions, and a DMS production rate can be estimated from time-series measurements of DMS in the headspace of the vial. Headspace analysis of DMS is a useful and rapid technique to estimate and compare DMSP lyase activities from different sources. The relative rates of DMS production in the liquid and of the gas transfer between liquid and headspace, determine the rate of DMS production measured via headspace analysis. If DMS production in the liquid is higher than the rate of transfer, headspace measurements will not reflect the actual amount of DMS produced in the liquid. In this case, extracts have to be diluted to a level that ensures linearity between dilution factor and reduction of enzyme activity. Additionally, incubation volumes and vials should be selected to provide a high surface-to-volume ratio to ensure maximum flux of DMS from the aqueous phase into the headspace. The methods can be adapted to further investigate species- and strain-specific activities, biogeographical distribution, cellular location and biochemical properties of various DMSP lyases.

Issues in Distance Education: A Primer for Higher Education Decision Makers

ERIC Educational Resources Information Center

Beaudoin, Michael

2016-01-01

This chapter presents an overview of current issues related to distance learning in higher education. It identifies central questions, issues, challenges, and opportunities that must be addressed by decision makers, as well as key attributes of effective leaders.

The effect of prognostic data presentation format on perceived risk among surrogate decision makers of critically ill patients: a randomized comparative trial.

PubMed

Chapman, Andy R; Litton, Edward; Chamberlain, Jenny; Ho, Kwok M

2015-04-01

The purpose of this study is to determine whether varying the format used to present prognostic data alters the perception of risk among surrogate decision makers in the intensive care unit (ICU). This was a prospective randomized comparative trial conducted in a 23-bed adult tertiary ICU. Enrolled surrogate decision makers were randomized to 1 of 2 questionnaires, which presented hypothetical ICU scenarios, identical other than the format in which prognostic data were presented (eg, frequencies vs percentages). Participants were asked to rate the risk associated with each prognostic statement. We enrolled 141 surrogate decision makers. The perception of risk varied significantly dependent on the presentation format. For "quantitative data," risks were consistently perceived as higher, when presented as frequencies (eg, 1 in 50) compared with equivalent percentages (eg, 2%). Framing "qualitative data" in terms of chance of "death" rather than "survival" led to a statistically significant increase in perceived risks. Framing "quantitative" data in this way did not significantly affect risk perception. Data format had a significant effect on how surrogate decision makers interpreted risk. Qualitative statements are interpreted widely and affected by framing. Where possible, multiple quantitative formats should be used for presenting prognostic information. Crown Copyright © 2014. Published by Elsevier Inc. All rights reserved.

Research of Simple Multi-Attribute Rating Technique for Decision Support

NASA Astrophysics Data System (ADS)

Siregar, Dodi; Arisandi, Diki; Usman, Ari; Irwan, Dedy; Rahim, Robbi

2017-12-01

One of the roles of decision support system is that it can assist the decision maker in obtaining the appropriate alternative with the desired criteria, one of the methods that could apply for the decision maker is SMART method with multicriteria decision making. This multi-criteria decision-making theory has meaning where every alternative has criteria and has value and weight, and the author uses this approach to facilitate decision making with a compelling case. The problems discussed in this paper are classified into problems of a variety Multiobjective (multiple goals to be accomplished) and multicriteria (many of the decisive criteria in reaching such decisions).

Incentives for Optimal Multi-level Allocation of HIV Prevention Resources

PubMed Central

Malvankar, Monali M.; Zaric, Gregory S.

2013-01-01

HIV/AIDS prevention funds are often allocated at multiple levels of decision-making. Optimal allocation of HIV prevention funds maximizes the number of HIV infections averted. However, decision makers often allocate using simple heuristics such as proportional allocation. We evaluate the impact of using incentives to encourage optimal allocation in a two-level decision-making process. We model an incentive based decision-making process consisting of an upper-level decision maker allocating funds to a single lower-level decision maker who then distributes funds to local programs. We assume that the lower-level utility function is linear in the amount of the budget received from the upper-level, the fraction of funds reserved for proportional allocation, and the number of infections averted. We assume that the upper level objective is to maximize the number of infections averted. We illustrate with an example using data from California, U.S. PMID:23766551

Fuzzy sets, rough sets, and modeling evidence: Theory and Application. A Dempster-Shafer based approach to compromise decision making with multiattributes applied to product selection

NASA Technical Reports Server (NTRS)

Dekorvin, Andre

1992-01-01

The Dempster-Shafer theory of evidence is applied to a multiattribute decision making problem whereby the decision maker (DM) must compromise with available alternatives, none of which exactly satisfies his ideal. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each attribute element and the classification of existing alternatives. The classification of alternatives is addressed through expert evaluation of the degree to which each element is contained in each available alternative. The relative importance of each attribute element is determined through pairwise comparisons of the elements by the decision maker and implementation of a ratio scale quantification method. Then the 'belief' and 'plausibility' that an alternative will satisfy the decision maker's ideal are calculated and combined to rank order the available alternatives. Application to the problem of selecting computer software is given.

Do probabilistic forecasts lead to better decisions?

NASA Astrophysics Data System (ADS)

Ramos, M. H.; van Andel, S. J.; Pappenberger, F.

2012-12-01

The last decade has seen growing research in producing probabilistic hydro-meteorological forecasts and increasing their reliability. This followed the promise that, supplied with information about uncertainty, people would take better risk-based decisions. In recent years, therefore, research and operational developments have also start putting attention to ways of communicating the probabilistic forecasts to decision makers. Communicating probabilistic forecasts includes preparing tools and products for visualization, but also requires understanding how decision makers perceive and use uncertainty information in real-time. At the EGU General Assembly 2012, we conducted a laboratory-style experiment in which several cases of flood forecasts and a choice of actions to take were presented as part of a game to participants, who acted as decision makers. Answers were collected and analyzed. In this paper, we present the results of this exercise and discuss if indeed we make better decisions on the basis of probabilistic forecasts.

Do probabilistic forecasts lead to better decisions?

NASA Astrophysics Data System (ADS)

Ramos, M. H.; van Andel, S. J.; Pappenberger, F.

2013-06-01

The last decade has seen growing research in producing probabilistic hydro-meteorological forecasts and increasing their reliability. This followed the promise that, supplied with information about uncertainty, people would take better risk-based decisions. In recent years, therefore, research and operational developments have also started focusing attention on ways of communicating the probabilistic forecasts to decision-makers. Communicating probabilistic forecasts includes preparing tools and products for visualisation, but also requires understanding how decision-makers perceive and use uncertainty information in real time. At the EGU General Assembly 2012, we conducted a laboratory-style experiment in which several cases of flood forecasts and a choice of actions to take were presented as part of a game to participants, who acted as decision-makers. Answers were collected and analysed. In this paper, we present the results of this exercise and discuss if we indeed make better decisions on the basis of probabilistic forecasts.

Accounting for reasonableness: Exploring the personal internal framework affecting decisions about cancer drug funding.

PubMed

Sinclair, Shane; Hagen, Neil A; Chambers, Carole; Manns, Braden; Simon, Anita; Browman, George P

2008-05-01

Drug decision-makers are involved in developing and implementing policy, procedure and processes to support health resource allocation regarding drug treatment formularies. A variety of approaches to decision-making, including formal decision-making frameworks, have been developed to support transparent and fair priority setting. Recently, a decision tool, 'The 6-STEPPPs Tool', was developed to assist in making decisions about new cancer drugs within the public health care system. We conducted a qualitative study, utilizing focus groups and participant observation, in order to investigate the internal frameworks that supported and challenged individual participants as they applied this decision tool within a multi-stakeholder decision process. We discovered that health care resource allocation engaged not only the minds of decision-makers but profoundly called on the often conflicting values of the heart. Objective decision-making frameworks for new drug therapies need to consider the subjective internal frameworks of decision-makers that affect decisions. Understanding the very human, internal turmoil experienced by individuals involved in health care resource allocation, sheds additional insight into how to account for reasonableness and how to better support difficult decisions through transparent, values-based resource allocation policy, procedures and processes.

Knowledge Style Profiling: An Exploration of Cognitive, Temperament, Demographic and Organizational Characteristics among Decision Makers Using Advanced Analytical Technologies

ERIC Educational Resources Information Center

Polito, Vincent A., Jr.

2010-01-01

The objective of this research was to explore the possibilities of identifying knowledge style factors that could be used as central elements of a professional business analyst's (PBA) performance attributes at work for those decision makers that use advanced analytical technologies on decision making tasks. Indicators of knowledge style were…

On avoiding framing effects in experienced decision makers.

PubMed

Garcia-Retamero, Rocio; Dhami, Mandeep K

2013-01-01

The present study aimed to (a) demonstrate the effect of positive-negative framing on experienced criminal justice decision makers, (b) examine the debiasing effect of visually structured risk messages, and (c) investigate whether risk perceptions mediate the debiasing effect of visual aids on decision making. In two phases, 60 senior police officers estimated the accuracy of a counterterrorism technique in identifying whether a known terror suspect poses an imminent danger and decided whether they would recommend the technique to policy makers. Officers also rated their confidence in this recommendation. When information about the effectiveness of the counterterrorism technique was presented in a numerical format, officers' perceptions of accuracy and recommendation decisions were susceptible to the framing effect: The technique was perceived to be more accurate and was more likely to be recommended when its effectiveness was presented in a positive than in a negative frame. However, when the information was represented visually using icon arrays, there were no such framing effects. Finally, perceptions of accuracy mediated the debiasing effect of visual aids on recommendation decisions. We offer potential explanations for the debiasing effect of visual aids and implications for communicating risk to experienced, professional decision makers.

Linking Space Weather Science and Decision Making (Invited)

NASA Astrophysics Data System (ADS)

Fisher, G. M.

2009-12-01

Linking scientific knowledge to decision making is a challenge for both the science and policy communities. In particular, in the field of space weather, there are unique challenges such as decision makers may not know that space has weather that poses risks to our technologically-dependent economy. Additionally, in an era of limited funds for scientific research, hazards posed by other natural disasters such as flooding and earthquakes are by contrast well known to policy makers, further making the importance of space weather research and monitoring a tough sell. Today, with industries and individuals more dependent on the Global Positioning System, wireless technology, and satellites than ever before, any disruption or inaccuracy can result in severe economic impacts. Therefore, it is highly important to understand how space weather science can most benefit society. The key to connecting research to decision making is to ensure that the information is salient, credible, and legitimate. To achieve this, scientists need to understand the decision makers' perspectives, including their language and culture, and recognize that their needs may evolve. This presentation will take a closer look at the steps required to make space weather research, models, and forecasts useful to decision makers and ultimately, benefit society.

[Hospital self-management policy in Chile: perceptions of decision-makers].

PubMed

Méndez, Claudio A; Miranda, Christian; Torres, M Cristina; Márquez, Myriam

2013-01-01

To learn the perceptions of decision-makers concerning the imple-men-t-ation stage of a hospital self-management policy in two highly complex hospitals in southern Chile. A descriptive, exploratory, qualitative study based on semi-structured in-depth interviews of decision-makers at the Regional Hospital of Valdivia and the Hospital San José de Osorno from August 2010 to December 2011. A convenience sample of 26 decision-makers was selected. The 26 interviews were recorded and transcribed verbatim. The information was analyzed using inductive content analysis. The interviewees consider the concept of self-management to be determined by autonomy in decision-making about resource allocation and the financing of health service delivery in the hospitals. They also stated that human resources and financing policies should be included to improve the implementation stage. They related weaknesses with the lack of organizational capabilities and managerial skills in the health teams implementing the changes. Conceptually, the hospital self-management policy is based on financial autonomy, and implementation is affected by persistent capacity gaps in policy design.

Creating Ecosystem Services Indices with EnviroAtlas Metrics

EPA Science Inventory

To support the well-being of future generations, ecosystem services (ES) need to be fully understood and evaluated by decision-makers. Geospatial tools, such as the EnviroAtlas, allow decision-makers, urban planners, public health professionals, and other stakeholders to view and...

Study protocol: DEcisions in health Care to Introduce or Diffuse innovations using Evidence (DECIDE).

PubMed

Turner, Simon; Morris, Stephen; Sheringham, Jessica; Hudson, Emma; Fulop, Naomi J

2016-04-05

A range of evidence informs healthcare decision-making, from formal research findings to 'soft intelligence' or local data, as well as practical experience or tacit knowledge. However, cultural and organisational factors often prevent the translation of such evidence into practice. Using a multi-level framework, this project will analyse how interactions between the evidence available and processes at the micro (individual/group) and meso (organisational/system) levels influence decisions to introduce or diffuse innovations in acute and primary care within the National Health Service in the UK. This study will use a mixed methods design, combining qualitative and quantitative methods, and involves four interdependent work streams: (1) rapid evidence synthesis of relevant literature with stakeholder feedback; (2) in-depth case studies of 'real-world' decision-making in acute and primary care; (3) a national survey and discrete choice experiment; and (4) development of guidance for decision-makers and evaluators to support the use of evidence in decision-making. This study will enhance the understanding of decision-makers' use of diverse forms of evidence. The findings will provide insights into how and why some evidence does inform decisions to introduce healthcare innovations, and why barriers persist in other cases. It will also quantify decision-makers' preferences, including the 'tipping point' of evidence needed to shift stakeholders' views. Practical guidance will be shared with healthcare decision-makers and evaluators on uses of evidence to enable the introduction and diffusion of innovation.

Influence of explicit Phaeocystis parameterizations on the global distribution of marine dimethyl sulfide

DOE PAGES

Wang, Shanlin; Elliott, Scott; Maltrud, Mathew; ...

2015-10-07

Dimethyl sulfide (DMS) is a biogenic organosulfur compound which contributes strongly to marine aerosol mass and the determination of cloud condensation nuclei over the remote oceans. Since uncertainties in DMS flux to the atmosphere lead to large variations in climate forcing, the global DMS distribution has been the subject of increasingly complex dynamic simulations. DMS concentrations are directly controlled by marine ecosystems. Phaeocystis is a major DMS producer but is often omitted from global reduced sulfur mechanisms. Here we incorporate this phytoplankton group into the marine ecosystem-biogeochemical module of the Community Earth System Model. To examine its role in themore » ocean sulfur cycle, an earlier DMS model has been enhanced to include new knowledge gained over the last few years. Results from the baseline run show that simulated Phaeocystis biomass generally agrees with observations, with high concentrations near the Antarctic continent and between 50° and 60° north. Given the new explicit Phaeocystis representation, the DMS distribution shows significant improvements, especially regarding the amplitude and location of high-latitude peaks. The simulated global mean surface DMS value is 2.26 nM, comparable to an estimate of 2.34 nM from the latest climatology extrapolated based on observations. The total oceanic DMS source to the atmosphere is 20.4 Tg S/yr, on the low side of previous estimates. Comparisons with and without Phaeocystis show that the group dominates DMS distributions in temperate and cold waters, contributing 13% of the global flux. The proportion may increase as sea ice declines and should be considered in climate projections.« less

An advanced modeling study on the impacts and atmospheric implications of multiphase dimethyl sulfide chemistry

PubMed Central

Hoffmann, Erik Hans; Tilgner, Andreas; Schrödner, Roland; Bräuer, Peter; Wolke, Ralf; Herrmann, Hartmut

2016-01-01

Oceans dominate emissions of dimethyl sulfide (DMS), the major natural sulfur source. DMS is important for the formation of non-sea salt sulfate (nss-SO42−) aerosols and secondary particulate matter over oceans and thus, significantly influence global climate. The mechanism of DMS oxidation has accordingly been investigated in several different model studies in the past. However, these studies had restricted oxidation mechanisms that mostly underrepresented important aqueous-phase chemical processes. These neglected but highly effective processes strongly impact direct product yields of DMS oxidation, thereby affecting the climatic influence of aerosols. To address these shortfalls, an extensive multiphase DMS chemistry mechanism, the Chemical Aqueous Phase Radical Mechanism DMS Module 1.0, was developed and used in detailed model investigations of multiphase DMS chemistry in the marine boundary layer. The performed model studies confirmed the importance of aqueous-phase chemistry for the fate of DMS and its oxidation products. Aqueous-phase processes significantly reduce the yield of sulfur dioxide and increase that of methyl sulfonic acid (MSA), which is needed to close the gap between modeled and measured MSA concentrations. Finally, the simulations imply that multiphase DMS oxidation produces equal amounts of MSA and sulfate, a result that has significant implications for nss-SO42− aerosol formation, cloud condensation nuclei concentration, and cloud albedo over oceans. Our findings show the deficiencies of parameterizations currently used in higher-scale models, which only treat gas-phase chemistry. Overall, this study shows that treatment of DMS chemistry in both gas and aqueous phases is essential to improve the accuracy of model predictions. PMID:27688763

Dimethyl sulfide in the Amazon rain forest

NASA Astrophysics Data System (ADS)

Jardine, K.; Yañez-Serrano, A. M.; Williams, J.; Kunert, N.; Jardine, A.; Taylor, T.; Abrell, L.; Artaxo, P.; Guenther, A.; Hewitt, C. N.; House, E.; Florentino, A. P.; Manzi, A.; Higuchi, N.; Kesselmeier, J.; Behrendt, T.; Veres, P. R.; Derstroff, B.; Fuentes, J. D.; Martin, S. T.; Andreae, M. O.

2015-01-01

Surface-to-atmosphere emissions of dimethyl sulfide (DMS) may impact global climate through the formation of gaseous sulfuric acid, which can yield secondary sulfate aerosols and contribute to new particle formation. While oceans are generally considered the dominant sources of DMS, a shortage of ecosystem observations prevents an accurate analysis of terrestrial DMS sources. Using mass spectrometry, we quantified ambient DMS mixing ratios within and above a primary rainforest ecosystem in the central Amazon Basin in real-time (2010-2011) and at high vertical resolution (2013-2014). Elevated but highly variable DMS mixing ratios were observed within the canopy, showing clear evidence of a net ecosystem source to the atmosphere during both day and night in both the dry and wet seasons. Periods of high DMS mixing ratios lasting up to 8 h (up to 160 parts per trillion (ppt)) often occurred within the canopy and near the surface during many evenings and nights. Daytime gradients showed mixing ratios (up to 80 ppt) peaking near the top of the canopy as well as near the ground following a rain event. The spatial and temporal distribution of DMS suggests that ambient levels and their potential climatic impacts are dominated by local soil and plant emissions. A soil source was confirmed by measurements of DMS emission fluxes from Amazon soils as a function of temperature and soil moisture. Furthermore, light- and temperature-dependent DMS emissions were measured from seven tropical tree species. Our study has important implications for understanding terrestrial DMS sources and their role in coupled land-atmosphere climate feedbacks.

Exploiting satellite earth observation to quantify current global oceanic DMS flux and its future climate sensitivity

NASA Astrophysics Data System (ADS)

Land, P. E.; Shutler, J. D.; Bell, T. G.; Yang, M.

2014-11-01

We used coincident Envisat RA2 and AATSR temperature and wind speed data from 2008/2009 to calculate the global net sea-air flux of dimethyl sulfide (DMS), which we estimate to be 19.6 Tg S a-1. Our monthly flux calculations are compared to open ocean eddy correlation measurements of DMS flux from 10 recent cruises, with a root mean square difference of 3.1 μmol m-2 day-1. In a sensitivity analysis, we varied temperature, salinity, surface wind speed, and aqueous DMS concentration, using fixed global changes as well as CMIP5 model output. The range of DMS flux in future climate scenarios is discussed. The CMIP5 model predicts a reduction in surface wind speed and we estimate that this will decrease the global annual sea-air flux of DMS by 22% over 25 years. Concurrent changes in temperature, salinity, and DMS concentration increase the global flux by much smaller amounts. The net effect of all CMIP5 modelled 25 year predictions was a 19% reduction in global DMS flux. 25 year DMS concentration changes had significant regional effects, some positive (Southern Ocean, North Atlantic, Northwest Pacific) and some negative (isolated regions along the Equator and in the Indian Ocean). Using satellite-detected coverage of coccolithophore blooms, our estimate of their contribution to North Atlantic DMS emissions suggests that the coccolithophores contribute only a small percentage of the North Atlantic annual flux estimate, but may be more important in the summertime and in the northeast Atlantic.

DMS-prefiltered mass spectrometry for the detection of biomarkers

NASA Astrophysics Data System (ADS)

Coy, Stephen L.; Krylov, Evgeny V.; Nazarov, Erkinjon G.

2008-04-01

Technologies based on Differential Mobility Spectrometry (DMS) are ideally matched to rapid, sensitive, and selective detection of chemicals like biomarkers. Biomarkers linked to exposure to radiation, exposure to CWA's, exposure to toxic materials (TICs and TIMs) and to specific diseases are being examined in a number of laboratories. Screening for these types of exposure can be improved in accuracy and greatly speeded up by using DMS-MS instead of slower techniques like LC-MS and GC-MS. We have performed an extensive series of tests with nanospray-DMS-mass spectroscopy and standalone nanospray-DMS obtaining extensive information on chemistry and detectivity. DMS-MS systems implemented with low-resolution, low-cost, portable mass-spectrometry systems are very promising. Lowresolution mass spectrometry alone would be inadequate for the task, but with DMS pre-filtration to suppress interferences, can be quite effective, even for quantitative measurement. Bio-fluids and digests are well suited to ionization by electrospray and detection by mass-spectrometry, but signals from critical markers are overwhelmed by chemical noise from unrelated species, making essential quantitative analysis impossible. Sionex and collaborators have presented data using DMS to suppress chemical noise, allowing detection of cancer biomarkers in 10,000-fold excess of normal products 1,2. In addition, a linear dynamic range of approximately 2,000 has been demonstrated with accurate quantitation 3. We will review the range of possible applications and present new data on DMS-MS biomarker detection.

Olfactory foraging in temperate waters: sensitivity to dimethylsulphide of shearwaters in the Atlantic Ocean and Mediterranean Sea.

PubMed

Dell'Ariccia, Gaia; Célérier, Aurélie; Gabirot, Marianne; Palmas, Pauline; Massa, Bruno; Bonadonna, Francesco

2014-05-15

Many procellariiforms use olfactory cues to locate food patches over the seemingly featureless ocean surface. In particular, some of them are able to detect and are attracted by dimethylsulphide (DMS), a volatile compound naturally occurring over worldwide oceans in correspondence with productive feeding areas. However, current knowledge is restricted to sub-Antarctic species and to only one study realized under natural conditions at sea. Here, for the first time, we investigated the response to DMS in parallel in two different environments in temperate waters, the Atlantic Ocean and the Mediterranean Sea, employing Cory's (Calonectris borealis) and Scopoli's (Calonectris diomedea) shearwaters as models. To test whether these birds can detect and respond to DMS, we presented them with this substance in a Y-maze. Then, to determine whether they use this molecule in natural conditions, we tested the response to DMS at sea. The number of birds that chose DMS in the Y-maze and that were recruited at DMS-scented slicks at sea suggests that these shearwaters are attracted to DMS in both non-foraging and natural contexts. Our findings show that the use of DMS as a foraging cue may be a strategy adopted by procellariiforms across oceans but that regional differences may exist, giving a worldwide perspective to previous hypotheses concerning the use of DMS as a chemical cue. © 2014. Published by The Company of Biologists Ltd.

Examining Dimethyl Sulfide Emissions in California's San Joaquin Valley

NASA Astrophysics Data System (ADS)

Huber, D.; Hughes, S.; Blake, D. R.

2017-12-01

Dimethyl Sulfide (DMS) is a sulfur-containing compound that leads to the formation of aerosols which can lead to the formation of haze and fog. Whole air samples were collected on board the NASA C-23 Sherpa aircraft during the 2017 Student Airborne Research Program (SARP) over dairies and agricultural fields in the San Joaquin Valley. Analysis of the samples indicate average DMS concentrations of 23 ± 9 pptv, with a maximum concentration of 49 pptv. When compared with DMS concentrations from previous SARP missions (2009-2016), 2017 by far had the highest frequency of elevated DMS in this region. For this study, agricultural productivity of this region was analyzed to determine whether land use could be contributing to the elevated DMS. Top down and bottom up analysis of agriculture and dairies were used to determine emission rates of DMS in the San Joaquin Valley. Correlations to methane and ethanol were used to determine that DMS emissions were strongly linked to dairies, and resulted in R2 values of 0.61 and 0.43, respectively. These values indicate a strong correlation between dairies and DMS emissions. Combined with NOAA HySPLIT back trajectory data and analysis of ground air samples, results suggest that the contribution of dairies to annual DMS emissions in the San Joaquin Valley exceeds those from corn and alfalfa production.

Monitoring/Verification using DMS: TATP Example

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephan Weeks, Kevin Kyle, Manuel Manard

Field-rugged and field-programmable differential mobility spectrometry (DMS) networks provide highly selective, universal monitoring of vapors and aerosols at detectable levels from persons or areas involved with illicit chemical/biological/explosives (CBE) production. CBE sensor motes used in conjunction with automated fast gas chromatography with DMS detection (GC/DMS) verification instrumentation integrated into situational operations-management systems can be readily deployed and optimized for changing application scenarios. The feasibility of developing selective DMS motes for a “smart dust” sampling approach with guided, highly selective, fast GC/DMS verification analysis is a compelling approach to minimize or prevent the illegal use of explosives or chemical and biologicalmore » materials. DMS is currently one of the foremost emerging technologies for field separation and detection of gas-phase chemical species. This is due to trace-level detection limits, high selectivity, and small size. Fast GC is the leading field analytical method for gas phase separation of chemical species in complex mixtures. Low-thermal-mass GC columns have led to compact, low-power field systems capable of complete analyses in 15–300 seconds. A collaborative effort optimized a handheld, fast GC/DMS, equipped with a non-rad ionization source, for peroxide-based explosive measurements.« less

Monitoring/Verification Using DMS: TATP Example

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kevin Kyle; Stephan Weeks

Field-rugged and field-programmable differential mobility spectrometry (DMS) networks provide highly selective, universal monitoring of vapors and aerosols at detectable levels from persons or areas involved with illicit chemical/biological/explosives (CBE) production. CBE sensor motes used in conjunction with automated fast gas chromatography with DMS detection (GC/DMS) verification instrumentation integrated into situational operationsmanagement systems can be readily deployed and optimized for changing application scenarios. The feasibility of developing selective DMS motes for a “smart dust” sampling approach with guided, highly selective, fast GC/DMS verification analysis is a compelling approach to minimize or prevent the illegal use of explosives or chemical and biologicalmore » materials. DMS is currently one of the foremost emerging technologies for field separation and detection of gas-phase chemical species. This is due to trace-level detection limits, high selectivity, and small size. GC is the leading analytical method for the separation of chemical species in complex mixtures. Low-thermal-mass GC columns have led to compact, low-power field systems capable of complete analyses in 15–300 seconds. A collaborative effort optimized a handheld, fast GC/DMS, equipped with a non-rad ionization source, for peroxide-based explosive measurements.« less

Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities.

PubMed

López-Rodríguez, M D; Castro, H; Arenas, M; Requena-Mullor, J M; Cano, A; Valenzuela, E; Cabello, J

2017-12-01

Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

Equilibrium approach towards water resource management and pollution control in coal chemical industrial park.

PubMed

Xu, Jiuping; Hou, Shuhua; Xie, Heping; Lv, Chengwei; Yao, Liming

2018-08-01

In this study, an integrated water and waste load allocation model is proposed to assist decision makers in better understanding the trade-offs between economic growth, resource utilization, and environmental protection of coal chemical industries which characteristically have high water consumption and pollution. In the decision framework, decision makers in a same park, each of whom have different goals and preferences, work together to seek a collective benefit. Similar to a Stackelberg-Nash game, the proposed approach illuminates the decision making interrelationships and involves in the conflict coordination between the park authority and the individual coal chemical company stockholders. In the proposed method, to response to climate change and other uncertainties, a risk assessment tool, Conditional Value-at-Risk (CVaR) and uncertainties through reflecting parameters and coefficients using probability and fuzzy set theory are integrated in the modeling process. Then a case study from Yuheng coal chemical park is presented to demonstrate the practicality and efficiency of the optimization model. To reasonable search the potential consequences of different responses to water and waste load allocation strategies, a number of scenario results considering environmental uncertainty and decision maker' attitudes are examined to explore the tradeoffs between economic development and environmental protection and decision makers' objectives. The results are helpful for decision/police makers to adjust current strategies adapting for current changes. Based on the scenario analyses and discussion, some propositions and operational policies are given and sensitive adaptation strategies are presented to support the efficient, balanced and sustainable development of coal chemical industrial parks. Copyright © 2018 Elsevier Ltd. All rights reserved.

Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities

NASA Astrophysics Data System (ADS)

López-Rodríguez, M. D.; Castro, H.; Arenas, M.; Requena-Mullor, J. M.; Cano, A.; Valenzuela, E.; Cabello, J.

2017-12-01

Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization, High-Level Use Cases for DMS

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Jianhui; Lu, Xiaonan; Martino, Sal

Many distribution management systems (DMS) projects have achieved limited success because the electric utility did not sufficiently plan for actual use of the DMS functions in the control room environment. As a result, end users were not clear on how to use the new application software in actual production environments with existing, well-established business processes. An important first step in the DMS implementation process is development and refinement of the “to be” business processes. Development of use cases for the required DMS application functions is a key activity that leads to the formulation of the “to be” requirements. It ismore » also an important activity that is needed to develop specifications that are used to procure a new DMS.« less

The Art of Influencing Decision Makers.

ERIC Educational Resources Information Center

Diegmueller, Karen

1992-01-01

Influencing educational decision makers requires creating ongoing relationships, keeping everyone informed, and developing persuasive skills. Persuasion requires preparation, refinement, hard work, and a sound understanding of the people being lobbied. Lobbying must be factual and relevant to the audience. The article looks at influence from the…

PUMP-AND-TREAT GROUND-WATER REMEDIATION: A GUIDE FOR DECISION MAKERS AND PRACTITIONERS

EPA Science Inventory

This guide presents decision makers with a foundation for evaluating the appropriateness of conventional or innovative approaches. An introduction to pump-and-treat ground-water remediation, the guide addresses the following questions: When is pump-and-treat an appropriate remedi...

Innovative environmental education contributes to improved management practices in the Mid-Atlantic region of the United States.

PubMed

Bradley, M Patricia; Hanson, Royce; Walbeck, Eric S

2004-06-01

The Mid-Atlantic Integrated Assessment (MAIA) and its partner, University of Maryland, Baltimore County (UMBC) have developed a graduate-level course focused on successful application of science by decision-makers to address a particular problem. Students conduct a literature review, interview the decision-makers and scientists, and synthesize and document the management problem, the science that was applied to that problem, and other issues that might constrain or drive the solution (e.g., legalities, social pressures, expense, politics, personalities, etc.). Students also quantify the results, evaluate who the intended audience is and how they most appropriately target them, and determine if there are other management problems that could be addressed with the science. The final products are short publications geared towards other decision-makers who might have a similar problem and might be seeking successful innovative solutions. MAIA is distributing these short publications to decision-makers throughout the Mid-Atlantic Region. The publications have been very positively received by state and local governments and watershed groups.

Priority setting: what constitutes success? A conceptual framework for successful priority setting

PubMed Central

Sibbald, Shannon L; Singer, Peter A; Upshur, Ross; Martin, Douglas K

2009-01-01

Background The sustainability of healthcare systems worldwide is threatened by a growing demand for services and expensive innovative technologies. Decision makers struggle in this environment to set priorities appropriately, particularly because they lack consensus about which values should guide their decisions. One way to approach this problem is to determine what all relevant stakeholders understand successful priority setting to mean. The goal of this research was to develop a conceptual framework for successful priority setting. Methods Three separate empirical studies were completed using qualitative data collection methods (one-on-one interviews with healthcare decision makers from across Canada; focus groups with representation of patients, caregivers and policy makers; and Delphi study including scholars and decision makers from five countries). Results This paper synthesizes the findings from three studies into a framework of ten separate but interconnected elements germane to successful priority setting: stakeholder understanding, shifted priorities/reallocation of resources, decision making quality, stakeholder acceptance and satisfaction, positive externalities, stakeholder engagement, use of explicit process, information management, consideration of values and context, and revision or appeals mechanism. Conclusion The ten elements specify both quantitative and qualitative dimensions of priority setting and relate to both process and outcome components. To our knowledge, this is the first framework that describes successful priority setting. The ten elements identified in this research provide guidance for decision makers and a common language to discuss priority setting success and work toward improving priority setting efforts. PMID:19265518

Information and Decision Superiority: Right Concept, Right Tools, Right Training

DTIC Science & Technology

2007-01-01

individual services, and numerous defense contractors have spoken of " information dominance " and "information superiority." Both, particularly the former...technologies will offer an unimaginable level of information to decision makers and operators. Ideas of information dominance , however, are fundamentally...other futuristic sensors will offer an unimaginable level of information to decision makers and operators. Ideas of information dominance , however

Climate modeling with decision makers in mind

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jones, Andrew; Calvin, Katherine; Lamarque, Jean -Francois

The need for regional- and local-scale climate information is increasing rapidly as decision makers seek to anticipate and manage a variety of context-specific climate risks over the next several decades. Furthermore, global climate models are not developed with these user needs in mind, and they typically operate at resolutions that are too coarse to provide information that could be used to support regional and local decisions.

Making Invasion models useful for decision makers; incorporating uncertainty, knowledge gaps, and decision-making preferences

Treesearch

Denys Yemshanov; Frank H Koch; Mark Ducey

2015-01-01

Uncertainty is inherent in model-based forecasts of ecological invasions. In this chapter, we explore how the perceptions of that uncertainty can be incorporated into the pest risk assessment process. Uncertainty changes a decision maker’s perceptions of risk; therefore, the direct incorporation of uncertainty may provide a more appropriate depiction of risk. Our...

A Systems Thinking Framework for Assessing and Addressing Malaria Locally: An Alternative to the Globalization of Anti-Malaria Policies

ERIC Educational Resources Information Center

Willis, Derek W.

2010-01-01

This dissertation analyzes a decision system that was used in the early 1900s in the Federated Malay States (FMS) by Malcolm Watson in order to make anti-malaria program recommendations to decision makers in a wide range of ecological settings. Watson's recommendations to decision makers throughout the FMS led to a dramatic suppression of malaria…

Climate modeling with decision makers in mind

DOE PAGES

Jones, Andrew; Calvin, Katherine; Lamarque, Jean -Francois

2016-04-27

The need for regional- and local-scale climate information is increasing rapidly as decision makers seek to anticipate and manage a variety of context-specific climate risks over the next several decades. Furthermore, global climate models are not developed with these user needs in mind, and they typically operate at resolutions that are too coarse to provide information that could be used to support regional and local decisions.

Improving the Slum Planning Through Geospatial Decision Support System

NASA Astrophysics Data System (ADS)

Shekhar, S.

2014-11-01

In India, a number of schemes and programmes have been launched from time to time in order to promote integrated city development and to enable the slum dwellers to gain access to the basic services. Despite the use of geospatial technologies in planning, the local, state and central governments have only been partially successful in dealing with these problems. The study on existing policies and programmes also proved that when the government is the sole provider or mediator, GIS can become a tool of coercion rather than participatory decision-making. It has also been observed that local level administrators who have adopted Geospatial technology for local planning continue to base decision-making on existing political processes. In this juncture, geospatial decision support system (GSDSS) can provide a framework for integrating database management systems with analytical models, graphical display, tabular reporting capabilities and the expert knowledge of decision makers. This assists decision-makers to generate and evaluate alternative solutions to spatial problems. During this process, decision-makers undertake a process of decision research - producing a large number of possible decision alternatives and provide opportunities to involve the community in decision making. The objective is to help decision makers and planners to find solutions through a quantitative spatial evaluation and verification process. The study investigates the options for slum development in a formal framework of RAY (Rajiv Awas Yojana), an ambitious program of Indian Government for slum development. The software modules for realizing the GSDSS were developed using the ArcGIS and Community -VIZ software for Gulbarga city.

System and method for integrating hazard-based decision making tools and processes

DOEpatents

Hodgin, C Reed [Westminster, CO

2012-03-20

A system and method for inputting, analyzing, and disseminating information necessary for identified decision-makers to respond to emergency situations. This system and method provides consistency and integration among multiple groups, and may be used for both initial consequence-based decisions and follow-on consequence-based decisions. The system and method in a preferred embodiment also provides tools for accessing and manipulating information that are appropriate for each decision-maker, in order to achieve more reasoned and timely consequence-based decisions. The invention includes processes for designing and implementing a system or method for responding to emergency situations.

Physiological Ecology of Dimethylsulfoniopropionate (DMSP) and Dimethylsulfide (DMS) Production by Phytoplankton

NASA Technical Reports Server (NTRS)

1998-01-01

The main objectives of the previously funded work were: (1) to determine the rates of DMSP and DMS production as a function of phytoplankton growth rate; (2) to determine the light dependence (quantity and quality) of DiMethylSulfonioPropionate (DMSP) and DiMethylSulfide (DMS) production by phytoplankton; and (3) to study intraspecific differences in DMSP and DMS production by phytoplankton.

WebDMS: A Web-Based Data Management System for Environmental Data

NASA Astrophysics Data System (ADS)

Ekstrand, A. L.; Haderman, M.; Chan, A.; Dye, T.; White, J. E.; Parajon, G.

2015-12-01

DMS is an environmental Data Management System to manage, quality-control (QC), summarize, document chain-of-custody, and disseminate data from networks ranging in size from a few sites to thousands of sites, instruments, and sensors. The server-client desktop version of DMS is used by local and regional air quality agencies (including the Bay Area Air Quality Management District, the South Coast Air Quality Management District, and the California Air Resources Board), the EPA's AirNow Program, and the EPA's AirNow-International (AirNow-I) program, which offers countries the ability to run an AirNow-like system. As AirNow's core data processing engine, DMS ingests, QCs, and stores real-time data from over 30,000 active sensors at over 5,280 air quality and meteorological sites from over 130 air quality agencies across the United States. As part of the AirNow-I program, several instances of DMS are deployed in China, Mexico, and Taiwan. The U.S. Department of State's StateAir Program also uses DMS for five regions in China and plans to expand to other countries in the future. Recent development has begun to migrate DMS from an onsite desktop application to WebDMS, a web-based application designed to take advantage of cloud hosting and computing services to increase scalability and lower costs. WebDMS will continue to provide easy-to-use data analysis tools, such as time-series graphs, scatterplots, and wind- or pollution-rose diagrams, as well as allowing data to be exported to external systems such as the EPA's Air Quality System (AQS). WebDMS will also provide new GIS analysis features and a suite of web services through a RESTful web API. These changes will better meet air agency needs and allow for broader national and international use (for example, by the AirNow-I partners). We will talk about the challenges and advantages of migrating DMS to the web, modernizing the DMS user interface, and making it more cost-effective to enhance and maintain over time.

Rapid analysis and quantification of fluorescent brighteners in wheat flour by Tri-step infrared spectroscopy and computer vision technology

NASA Astrophysics Data System (ADS)

Guo, Xiao-Xi; Hu, Wei; Liu, Yuan; Gu, Dong-Chen; Sun, Su-Qin; Xu, Chang-Hua; Wang, Xi-Chang

2015-11-01

Fluorescent brightener, industrial whitening agent, has been illegally used to whitening wheat flour. In this article, computer vision technology (E-eyes) and colorimetry were employed to investigate color difference among different concentrations of fluorescent brightener in wheat flour using DMS as an example. Tri-step infrared spectroscopy (Fourier transform-infrared spectroscopy coupled with second derivative infrared spectroscopy (SD-IR) and two dimensional correlation infrared spectroscopy (2DCOS-IR)) was used to identify and quantitate DMS in wheat flour. According to color analysis, the whitening effect was significant when added with less than 30 mg/g DMS but when more than 100 mg/g, the flour began greenish. Thus it was speculated that the concentration of DMS should be below 100 mg/g in real flour adulterant with DMS. With the increase of the concentration, the spectral similarity of wheat flour with DMS to DMS standard was increasing. SD-IR peaks at 1153 cm-1, 1141 cm-1, 1112 cm-1, 1085 cm-1 and 1025 cm-1 attributed to DMS were regularly enhanced. Furthermore, it could be differentiated by 2DOS-IR between DMS standard and wheat flour added with DMS low to 0.05 mg/g and the bands in the range of 1000-1500 cm-1 could be an exclusive range to identify whether wheat flour contained DMS. Finally, a quantitative prediction model based on IR spectra was established successfully by Partial least squares (PLS) with a concentration range from 1 mg/g to 100 mg/g. The calibration set gave a determination coefficient of 0.9884 with a standard error (RMSEC) of 5.56 and the validation set presented a determination coefficient of 0.9881 with a standard error of 5.73. It was demonstrated that computer vision technology and colorimetry were effective to estimate the content of DMS in wheat flour and the Tri-step infrared macro-fingerprinting combined with PLS was applicable for rapid and nondestructive fluorescent brightener identification and quantitation.

The Dimethylsulfide Cycle in the Eutrophied Southern North Sea: A Model Study Integrating Phytoplankton and Bacterial Processes

PubMed Central

Gypens, Nathalie; Borges, Alberto V.; Speeckaert, Gaelle; Lancelot, Christiane

2014-01-01

We developed a module describing the dimethylsulfoniopropionate (DMSP) and dimethylsulfide (DMS) dynamics, including biological transformations by phytoplankton and bacteria, and physico-chemical processes (including DMS air-sea exchange). This module was integrated in the MIRO ecological model and applied in a 0D frame in the Southern North Sea (SNS). The DMS(P) module is built on parameterizations derived from available knowledge on DMS(P) sources, transformations and sinks, and provides an explicit representation of bacterial activity in contrast to most of existing models that only include phytoplankton process (and abiotic transformations). The model is tested in a highly productive coastal ecosystem (the Belgian coastal zone, BCZ) dominated by diatoms and the Haptophyceae Phaeocystis, respectively low and high DMSP producers. On an annual basis, the particulate DMSP (DMSPp) production simulated in 1989 is mainly related to Phaeocystis colonies (78%) rather than diatoms (13%) and nanoflagellates (9%). Accordingly, sensitivity analysis shows that the model responds more to changes in the sulfur:carbon (S:C) quota and lyase yield of Phaeocystis. DMS originates equally from phytoplankton and bacterial DMSP-lyase activity and only 3% of the DMS is emitted to the atmosphere. Model analysis demonstrates the sensitivity of DMS emission towards the atmosphere to the description and parameterization of biological processes emphasizing the need of adequately representing in models both phytoplankton and bacterial processes affecting DMS(P) dynamics. This is particularly important in eutrophied coastal environments such as the SNS dominated by high non-diatom blooms and where empirical models developed from data-sets biased towards open ocean conditions do not satisfactorily predict the timing and amplitude of the DMS seasonal cycle. In order to predict future feedbacks of DMS emissions on climate, it is needed to account for hotspots of DMS emissions from coastal environments that, if eutrophied, are dominated not only by diatoms. PMID:24465753

Microbial Formation of Dimethyl Sulfide in Anoxic Sphagnum Peat

PubMed Central

Kiene, R. P.; Hines, M. E.

1995-01-01

Peat bogs dominated by Sphagnum spp. have relatively high areal rates of dimethyl sulfide (DMS) emission to the atmosphere. DMS was produced in anoxic slurries of Sphagnum peat with a linear time course and with an average rate of 40.4 (range, 22.0 to 68.6) nmol per liter of slurry (middot) day(sup-1) observed in nine batches of slurry. Methanethiol (MeSH) was produced at roughly similar rates over the typical 4- to 8-day incubations. DMS and MeSH production in these acidic (pH 4.2 to 4.6) peats were biological, as they were stopped completely by autoclaving and inhibited strongly by addition of antibiotics and 500 (mu)M chloroform. Endogenous DMS production may be due to the degradation of S-methyl-methionine, dimethyl sulfoxide, or methoxyaromatic compounds (e.g., syringic acid), each of which stimulated DMS formation when added at 5 to 10 (mu)M concentrations. However, on the basis of the high rates of thiol (MeSH and ethanethiol) methylation activity that we observed and the availability of endogenous MeSH, we suggest that methylation of MeSH is the major pathway leading to DMS formation in anaerobic peat. Solid-phase adsorption of MeSH plays a key role in its availability for biomethylation reactions. Additions of acetate (1.5 mM) or compounds which could cause acetate to accumulate (e.g., glucose, alanine, and 2-bromoethanesulfonate) suppressed DMS formation. It is likely that acetogenic bacteria are involved in DMS formation, but our data are insufficient to allow firm conclusions about the metabolic pathways or organisms involved. Our observations are the first which point to the methylation of MeSH as the major mechanism for endogenous DMS production in any environment. The rates of net DMS production observed are sufficient to explain the relatively high fluxes of DMS emitted to the atmosphere from Sphagnum sp.-dominated wetlands. PMID:16535080

The value of telemonitoring and ICT-guided disease management in heart failure: Results from the IN TOUCH study.

PubMed

Kraai, Imke; de Vries, Arjen; Vermeulen, Karin; van Deursen, Vincent; van der Wal, Martje; de Jong, Richard; van Dijk, René; Jaarsma, Tiny; Hillege, Hans; Lesman, Ivonne

2016-01-01

It is still unclear whether telemonitoring reduces hospitalization and mortality in heart failure (HF) patients and whether adding an Information and Computing Technology-guided-disease-management-system (ICT-guided-DMS) improves clinical and patient reported outcomes or reduces healthcare costs. A multicenter randomized controlled trial was performed testing the effects of INnovative ICT-guided-DMS combined with Telemonitoring in OUtpatient clinics for Chronic HF patients (IN TOUCH) with in total 179 patients (mean age 69 years; 72% male; 77% in New York Heart Association Classification (NYHA) III-IV; mean left ventricular ejection fraction was 28%). Patients were randomized to ICT-guided-DMS or to ICT-guided-DMS+telemonitoring with a follow-up of nine months. The composite endpoint included mortality, HF-readmission and change in health-related quality of life (HR-QoL). In total 177 patients were eligible for analyses. The mean score of the primary composite endpoint was -0.63 in ICT-guided-DMS vs. -0.73 in ICT-guided-DMS+telemonitoring (mean difference 0.1, 95% CI: -0.67 +0.82, p=0.39). All-cause mortality in ICT-guided-DMS was 12% versus 15% in ICT-guided-DMS+telemonitoring (p=0.27); HF-readmission 28% vs. 27% p=0.87; all-cause readmission was 49% vs. 51% (p=0.78). HR-QoL improved in most patients and was equal in both groups. Incremental costs were €1360 in favor of ICT-guided-DMS. ICT-guided-DMS+telemonitoring had significantly fewer HF-outpatient-clinic visits (p<0.01). ICT-guided-DMS+telemonitoring for the management of HF patients did not affect the primary and secondary endpoints. However, we did find a reduction in visits to the HF-outpatient clinic in this group suggesting that telemonitoring might be safe to use in reorganizing HF-care with relatively low costs. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Diagnostic modeling of dimethylsulfide production in coastal water west of the Antarctic Peninsula

NASA Technical Reports Server (NTRS)

Hermann, Maria; Najjar, Raymond G.; Neeley, Aimee R.; Vila-Costa, Maria; Dacey, John W. H.; DiTullio, Giacomo, R.; Kieber, David J.; Kiene, Ronald P.; Matrai, Patricia A.; Simo, Rafel;

Discounting of Delayed Rewards Is Not Hyperbolic

ERIC Educational Resources Information Center

Luhmann, Christian C.

2013-01-01

Delay discounting refers to decision-makers' tendency to value immediately available goods more than identical goods available only after some delay. In violation of standard economic theory, decision-makers frequently exhibit dynamic inconsistency; their preferences change simply due to the passage of time. The standard explanation for this…

Doubt and belief in physicians' ability to prognosticate during critical illness: The perspective of surrogate decision makers

PubMed Central

Zier, Lucas S.; Burack, Jeffrey H.; Micco, Guy; Chipman, Anne K.; Frank, James A.; Luce, John M.; White, Douglas B.

2009-01-01

Objectives: Although discussing a prognosis is a duty of physicians caring for critically ill patients, little is known about surrogate decision-makers' beliefs about physicians' ability to prognosticate. We sought to determine: 1) surrogates' beliefs about whether physicians can accurately prognosticate for critically ill patients; and 2) how individuals use prognostic information in their role as surrogate decision-makers. Design, Setting, and Patients: Multicenter study in intensive care units of a public hospital, a tertiary care hospital, and a veterans' hospital. We conducted semistructured interviews with 50 surrogate decision-makers of critically ill patients. We analyzed the interview transcripts using grounded theory methods to inductively develop a framework to describe surrogates' beliefs about physicians' ability to prognosticate. Validation methods included triangulation by multidisciplinary analysis and member checking. Measurements and Main Results: Overall, 88% (44 of 50) of surrogates expressed doubt about physicians' ability to prognosticate for critically ill patients. Four distinct themes emerged that explained surrogates' doubts about prognostic accuracy: a belief that God could alter the course of the illness, a belief that predicting the future is inherently uncertain, prior experiences where physicians' prognostications were inaccurate, and experiences with prognostication during the patient's intensive care unit stay. Participants also identified several factors that led to belief in physicians' prognostications, such as receiving similar prognostic estimates from multiple physicians and prior experiences with accurate prognostication. Surrogates' doubts about prognostic accuracy did not prevent them from wanting prognostic information. Instead, most surrogate decision-makers view physicians' prognostications as rough estimates that are valuable in informing decisions, but are not determinative. Surrogates identified the act of prognostic disclosure as a key step in preparing emotionally and practically for the possibility that a patient may not survive. Conclusions: Although many surrogate decision-makers harbor some doubt about the accuracy of physicians' prognostications, they highly value discussions about prognosis and use the information for multiple purposes. (Crit Care Med 2008; 36: 2341–2347) PMID:18596630

Bridging the gap between the economic evaluation literature and daily practice in occupational health: a qualitative study among decision-makers in the healthcare sector

PubMed Central

2013-01-01

Background Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. Methods An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers’ knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. Results The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer’s costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Conclusions Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this. PMID:23731570

Sea-to-air flux of dimethyl sulfide in the South and North Pacific Ocean as measured by proton transfer reaction-mass spectrometry coupled with the gradient flux technique

NASA Astrophysics Data System (ADS)

Omori, Yuko; Tanimoto, Hiroshi; Inomata, Satoshi; Ikeda, Kohei; Iwata, Toru; Kameyama, Sohiko; Uematsu, Mitsuo; Gamo, Toshitaka; Ogawa, Hiroshi; Furuya, Ken

2017-07-01

Exchange of dimethyl sulfide (DMS) between the surface ocean and the lower atmosphere was examined by using proton transfer reaction-mass spectrometry coupled with the gradient flux (PTR-MS/GF) system. We deployed the PTR-MS/GF system and observed vertical gradients of atmospheric DMS just above the sea surface in the subtropical and transitional South Pacific Ocean and the subarctic North Pacific Ocean. In total, we obtained 370 in situ profiles, and of these we used 46 data sets to calculate the sea-to-air flux of DMS. The DMS flux determined was in the range from 1.9 to 31 μmol m-2 d-1 and increased with wind speed and biological activity, in reasonable accordance with previous observations in the open ocean. The gas transfer velocity of DMS derived from the PTR-MS/GF measurements was similar to either that of DMS determined by the eddy covariance technique or that of insoluble gases derived from the dual tracer experiments, depending on the observation sites located in different geographic regions. When atmospheric conditions were strongly stable during the daytime in the subtropical ocean, the PTR-MS/GF observations captured a daytime versus nighttime difference in DMS mixing ratios in the surface air overlying the ocean surface. The difference was mainly due to the sea-to-air DMS emissions and stable atmospheric conditions, thus affecting the gradient of DMS. This indicates that the DMS gradient is strongly controlled by diurnal variations in the vertical structure of the lower atmosphere above the ocean surface.

Audit of annual medical appraisal and revalidation activity across the UK Defence Medical Services 2013-2014.

PubMed

Morris, Louisa E; Withnall, Rdj

2017-02-01

To provide the first annual audit of Defence Medical Services (DMS) medical appraisal and revalidation activity. A questionnaire-based survey of appraisal and revalidation activity within the 2013-2014 appraisal year (1 April 2013 - 1 March 2014) across the Royal Navy (RN), Army, Royal Air Force (RAF) and Ministry of Defence (MOD) and Defence Postgraduate Medical Deanery (DPMD) Designated Bodies (DBs). Mandatory annual medical appraisal of all DMS doctors was introduced in 2002. The General Medical Council (GMC) introduced licences to practise in November 2011. Revalidation went live in December 2012. In the 2013-2014 appraisal year, there were 1379 DMS doctors. The Responsible Officers (ROs) of the RN, Army, RAF, MOD and Defence Postgraduate Medical Deanery (DPMD) provide appraisal and revalidation services for doctors within their DBs. In the 2013-2014 appraisal year, 82% of DMS doctors completed an annual appraisal. ROs provided positive revalidation recommendations for 90% of DMS doctors without the need for additional supporting information. Additional supporting evidence was required for 10% of DMS trained doctors, but ultimately 100% of DMS doctors due revalidation in the 2013-2014 appraisal year received a positive recommendation. To assist DMS compliance with GMC quality assurance requirements, HQ Surgeon General now maintains a central database of appraisal and revalidation data across the five DMS DBs. Appropriately targeted appraiser training and 'revalidation ready top-up' training should be provided to ensure the demand for military appraisers is met, and that DMS appraisers appropriately maintain their skills. MOD now maintains a central live database for ongoing appraisal and revalidation monitoring. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Differential Mobility Spectrometry for Improved Selectivity in Hydrophilic Interaction Liquid Chromatography-Tandem Mass Spectrometry Analysis of Paralytic Shellfish Toxins

NASA Astrophysics Data System (ADS)

Beach, Daniel G.

2017-08-01

Paralytic shellfish toxins (PSTs) are neurotoxins produced by dinoflagellates and cyanobacteria that cause paralytic shellfish poisoning in humans. PST quantitation by LC-MS is challenging because of their high polarity, lability as gas-phase ions, and large number of potentially interfering analogues. Differential mobility spectrometry (DMS) has the potential to improve the performance of LC-MS methods for PSTs in terms of selectivity and limits of detection. This work describes a comprehensive investigation of the separation of 16 regulated PSTs by DMS and the development of highly selective LC-DMS-MS methods for PST quantitation. The effects of all DMS parameters on the separation of PSTs from one another were first investigated in detail. The labile nature of 11α-gonyautoxin epimers gave unique insight into fragmentation of labile analytes before, during, and after the DMS analyzer. Two sets of DMS parameters were identified that either optimized the resolution of PSTs from one another or transmitted them at a limited number of compensation voltage (CV) values corresponding to structural subclasses. These were used to develop multidimensional LC-DMS-MS/MS methods using existing HILIC-MS/MS parameters. In both cases, improved selectivity was observed when using DMS, and the quantitative capabilities of a rapid UPLC-DMS-MS/MS method were evaluated. Limits of detection of the developed method were similar to those without DMS, and differences were highly analyte-dependant. Analysis of shellfish matrix reference materials showed good agreement with established methods. The developed methods will be useful in cases where specific matrix interferences are encountered in the LC-MS/MS analysis of PSTs in complex biological samples.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jardine, K.; Yañez-Serrano, A. M.; Williams, J.

Surface-to-atmosphere emissions of dimethyl sulfide (DMS) may impact global climate 44 through the formation of gaseous sulfuric acid, which can yield secondary sulfate 45 aerosols and contribute to new particle formation. While oceans are generally 46 considered the dominant source of DMS, a shortage of ecosystem observations prevents 47 an accurate analysis of terrestrial DMS sources. Using mass spectrometry, we quantified 48 ambient DMS mixing ratios within and above a primary rainforest ecosystem in the 49 central Amazon Basin in real-time (2010-2011) and at high vertical resolution (2013-50 2014). Elevated but highly variable DMS mixing ratios were observed within themore » 51 canopy, showing clear evidence of a net ecosystem source to the atmosphere during 52 both day and night in both the dry and wet seasons. Periods of high DMS mixing ratios 53 lasting up to 8 hours (up to 160 ppt) often occurred within the canopy and near the 54 surface during many evenings and nights. Daytime gradients showed mixing ratios (up 55 to 80 ppt) peaking near the top of the canopy as well as near the ground following a rain 56 event. The spatial and temporal distribution of DMS suggests that ambient levels and 57 their potential climatic impacts are dominated by local soil and plant emissions. A soil 58 source was confirmed by measurements of DMS emission fluxes from Amazon soils as 59 a function of temperature and soil moisture. Furthermore, light and temperature 60 dependent DMS emissions were measured from seven tropical tree species. Our study 61 has important implications for understanding terrestrial DMS sources and their role in 62 coupled land-atmosphere climate feedbacks. 63« less

Finding the numerical compensation in multiple criteria decision-making problems under fuzzy environment

NASA Astrophysics Data System (ADS)

Gupta, Mahima; Mohanty, B. K.

2017-04-01

In this paper, we have developed a methodology to derive the level of compensation numerically in multiple criteria decision-making (MCDM) problems under fuzzy environment. The degree of compensation is dependent on the tranquility and anxiety level experienced by the decision-maker while taking the decision. Higher tranquility leads to the higher realisation of the compensation whereas the increased level of anxiety reduces the amount of compensation in the decision process. This work determines the level of tranquility (or anxiety) using the concept of fuzzy sets and its various level sets. The concepts of indexing of fuzzy numbers, the risk barriers and the tranquility level of the decision-maker are used to derive his/her risk prone or risk averse attitude of decision-maker in each criterion. The aggregation of the risk levels in each criterion gives us the amount of compensation in the entire MCDM problem. Inclusion of the compensation leads us to model the MCDM problem as binary integer programming problem (BIP). The solution to BIP gives us the compensatory decision to MCDM. The proposed methodology is illustrated through a numerical example.

Adaptation Planning for Water Resources Management in the Context of Scientific Uncertainty

NASA Astrophysics Data System (ADS)

Lowrey, J.; Kenney, D.

2008-12-01

Several municipalities are beginning to create policies and plans in order to adapt to potential impacts from climate change. A 2007 report from the Heinz Center for Science, Economics, and the Environment, 'A Survey of Climate Change Adaptation Planning,' surveyed fourteen cities or counties across the U.S. and Canada that have created or are working towards creating climate change adaptation plans. Informal interactions with water managers in the Intermountain West indicate an eagerness to learn from those who have already begun adapting to potential climate change. Many of those without plans do not feel comfortable making potentially expensive long-term policy decisions based on impacts derived from uncertain climate change projections. This research identifies how decision makers currently consider climate change in adaptation planning despite imperfect information about climate change impacts, particularly in the water sector. Insights are offered into how best to provide information on climate change projections to regional decision makers so that they can begin adaptation planning for a changing climate. This research analyzes how a subset of the fourteen municipalities justified adaptive planning in the face of scientific uncertainty, paying particular attention to water resource adaptation, using the adaptation approaches studied in the 2007 Heinz Center Report. Interviews will be conducted with decision makers to learn how policies will be implemented and evaluated, and to explore resulting changes in policy or planning. Adaptation strategies are not assessed, but are used to identify how the decision makers plan to evaluate their own adaptation policies. In addition to looking at information use in adaptation plans, we compare how the plans orient themselves (adapting to projected impacts vs. increasing resiliency to current climate variability), how they address barriers and opportunities for adaptation, and whether they follow some key steps for successful adaptation as outlined in the literature. This part of the study will identify any consensus among the municipalities already adapting, and see of the decision makers tend to agree with the points of views expressed in the literature. The conclusions here will not only help decision makers trying to adapt, but it will help researchers orient future research to the informational needs of the decision makers. The work is intended to provide useful information for the Western Water Assessment, a NOAA-funded research boundary organization, which provides climate information to water resource managers in the Intermountain West, including the Colorado River Basin.

Incentivizing Decentralized Sanitation: The Role of Discount Rates.

PubMed

Wood, Alison; Blackhurst, Michael; Garland, Jay L; Lawler, Desmond F

2016-06-21

In adoption decisions for decentralized sanitation technologies, two decision makers are involved: the public utility and the individual homeowner. Standard life cycle cost is calculated from the perspective of the utility, which uses a market-based discount rate in these calculations. However, both decision-makers must be considered, including their differing perceptions of the time trade-offs inherent in a stream of costs and benefits. This study uses the discount rate as a proxy for these perceptions and decision-maker preferences. The results in two case studies emphasize the dependence on location of such analyses. Falmouth, Massachusetts, appears to be a good candidate for incentivizing decentralized sanitation while the Allegheny County Sanitary Authority service area in Pennsylvania appears to have no need for similar incentives. This method can be applied to any two-party decision in which the parties are expected to have different discount rates.

Exploring Scientific Information for Policy Making under Deep Uncertainty

NASA Astrophysics Data System (ADS)

Forni, L.; Galaitsi, S.; Mehta, V. K.; Escobar, M.; Purkey, D. R.; Depsky, N. J.; Lima, N. A.

2016-12-01

Each actor evaluating potential management strategies brings her/his own distinct set of objectives to a complex decision space of system uncertainties. The diversity of these objectives require detailed and rigorous analyses that responds to multifaceted challenges. However, the utility of this information depends on the accessibility of scientific information to decision makers. This paper demonstrates data visualization tools for presenting scientific results to decision makers in two case studies, La Paz/ El Alto, Bolivia, and Yuba County,California. Visualization output from the case studies combines spatiotemporal, multivariate and multirun/multiscenario information to produce information corresponding to the objectives defined by key actors and stakeholders. These tools can manage complex data and distill scientific information into accessible formats. Using the visualizations, scientists and decision makers can navigate the decision space and potential objective trade-offs to facilitate discussion and consensus building. These efforts can support identifying stable negotiatedagreements between different stakeholders.

Characteristics of community health organizations and decision-makers considering the adoption of motivational interviewing.

PubMed

Williams, Jessica Roberts; Dusablon, Tracy; Williams, Weston O; Blais, Marissa Puckett; Hennessy, Kevin D

2014-07-01

Research related to the adoption of comparative effectiveness research (CER) in mental health practice is limited. This study explores the factors that influence decisions to adopt motivational interviewing (MI)-an evidence-based practice (EBP) grounded in CER-among decision-makers (n = 311) in community health organizations (n = 92). Descriptive analyses focus on organization and decision-maker characteristics and processes that may influence the decision to adopt an EBP, including demographics, structure and operations, readiness, attitudes, barriers, and facilitators. Within-group agreement is examined to determine the degree to which participants within each organization gave similar responses. Results show characteristics differed according to type of organization (community health versus community behavioral health) and position (directors versus staff). Within-group agreement was also influenced by position. These findings indicate different strategies may be needed to best disseminate CER to the two groups.

Moral Hazard in Pediatrics.

PubMed

Brunnquell, Donald; Michaelson, Christopher M

2016-07-01

"Moral hazard" is a term familiar in economics and business ethics that illuminates why rational parties sometimes choose decisions with bad moral outcomes without necessarily intending to behave selfishly or immorally. The term is not generally used in medical ethics. Decision makers such as parents and physicians generally do not use the concept or the word in evaluating ethical dilemmas. They may not even be aware of the precise nature of the moral hazard problem they are experiencing, beyond a general concern for the patient's seemingly excessive burden. This article brings the language and logic of moral hazard to pediatrics. The concept reminds us that decision makers in this context are often not the primary party affected by their decisions. It appraises the full scope of risk at issue when decision makers decide on behalf of others and leads us to separate, respect, and prioritize the interests of affected parties.

Audiovisual integration facilitates monkeys' short-term memory.

PubMed

Bigelow, James; Poremba, Amy

2016-07-01

Many human behaviors are known to benefit from audiovisual integration, including language and communication, recognizing individuals, social decision making, and memory. Exceptionally little is known about the contributions of audiovisual integration to behavior in other primates. The current experiment investigated whether short-term memory in nonhuman primates is facilitated by the audiovisual presentation format. Three macaque monkeys that had previously learned an auditory delayed matching-to-sample (DMS) task were trained to perform a similar visual task, after which they were tested with a concurrent audiovisual DMS task with equal proportions of auditory, visual, and audiovisual trials. Parallel to outcomes in human studies, accuracy was higher and response times were faster on audiovisual trials than either unisensory trial type. Unexpectedly, two subjects exhibited superior unimodal performance on auditory trials, a finding that contrasts with previous studies, but likely reflects their training history. Our results provide the first demonstration of a bimodal memory advantage in nonhuman primates, lending further validation to their use as a model for understanding audiovisual integration and memory processing in humans.

A Visual Language for Composable Simulation Scenarios

DTIC Science & Technology

2003-03-01

introduced by combining components of different levels of abstraction. However, the ideas presented in this research are applicable to all levels of...mission” [DMS95]. Finally, theater/campaign- level models predict the “outcomes of joint/ combined forces in a theatre/campaign level conflict” [DMS95...Other articles discussing composable simulation also gave more definitions and properties of components [DMS02d], [DMS02e], [BID00]. However, despite

Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea

NASA Astrophysics Data System (ADS)

Qu, Bo; Gabric, Albert J.; Zeng, Meifang; Xi, Jiaojiao; Jiang, Limei; Zhao, Li

2017-09-01

Sea-to-air fluxes of marine biogenic aerosols have the potential to modify cloud microphysics and regional radiative budgets, and thus moderate Earth's warming. Polar regions play a critical role in the evolution of global climate. In this work, we use a well-established biogeochemical model to simulate the DMS flux from the Greenland Sea (20°W-10°E and 70°N-80°N) for the period 2003-2004. Parameter sensitivity analysis is employed to identify the most sensitive parameters in the model. A genetic algorithm (GA) technique is used for DMS model parameter calibration. Data from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are used to drive the DMS model under 4 × CO2 conditions. DMS flux under quadrupled CO2 levels increases more than 300% compared with late 20th century levels (1 × CO2). Reasons for the increase in DMS flux include changes in the ocean state-namely an increase in sea surface temperature (SST) and loss of sea ice-and an increase in DMS transfer velocity, especially in spring and summer. Such a large increase in DMS flux could slow the rate of warming in the Arctic via radiative budget changes associated with DMS-derived aerosols.

Overview of EPA tools for supporting local- and regional-scale decision makers addressing energy and environmental issues

EPA Science Inventory

EPA’s Office of Research and Development (ORD) has been developing tools and illustrative case studies for decision makers in local and regional authorities who are facing challenges of establishing resilience to extreme weather events, aging built environment and infrastru...

The Two-Communities Theory and Knowledge Utilization.

ERIC Educational Resources Information Center

Caplan, Nathan

1979-01-01

Discusses strategies to improve policy makers' utilization of research based on the "two-communities" theory that social scientists and policy makers live in two different worlds. Notes that for high level decision making, collaboration must involve more general problems and a decision to use either data-based or nonresearch knowledge for solving…

Putting Educational Forecasts into Perspective: A Guide for Decisionmakers.

ERIC Educational Resources Information Center

Dede, Christopher; Kierstead, Fred

This paper focuses on how educational decision-makers can make use of futures research through a better understanding of forecasters' perspectives. Eight problems in communicating that are significant in contributing to poor usage of forecasts by educational decision-makers are: (1) overuse of jargon, (2) preoccupation with technological…

An analytical framework to assist decision makers in the use of forest ecosystem model predictions

USDA-ARS?s Scientific Manuscript database

The predictions of most terrestrial ecosystem models originate from deterministic simulations. Relatively few uncertainty evaluation exercises in model outputs are performed by either model developers or users. This issue has important consequences for decision makers who rely on models to develop n...

Modelling a Network of Decision Makers

DTIC Science & Technology

2004-06-01

DATES COVERED 00-00-2004 to 00-00-2004 4. TITLE AND SUBTITLE Modelling a Netowrk of Decision Makers (Briefing Charts) 5a. CONTRACT NUMBER 5b...contains color images. 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF PAGES 31 19a

The Others: Equitable Access, International Students, and the Community College

ERIC Educational Resources Information Center

Viggiano, Tiffany; López Damián, Ariadna I.; Morales Vázquez, Evelyn; Levin, John S.

2018-01-01

This qualitative investigation explains the ways in which community college decision makers justify the inclusion of international students at three community colleges in the United States. We identify and explain the ways in which decision makers rationalize institutional policy--particularly recruitment strategies and motivations--related to…

Adolescent pediatric decision-making: a critical reconsideration in the light of the data.

PubMed

Partridge, Brian

2014-12-01

Adolescents present a puzzle. There are foundational unclarities about how they should be regarded as decision-makers. Although superficially adolescents may appear to have mature decisional capacity, their decision-making is in many ways unlike that of adults. Despite this seemingly obvious fact, a concern for the claims of autonomy has led to the development of the legal doctrine of the mature minor. This legal construct considers adolescents, as far as possible, as equivalent to adults for the purpose of medical decision-making. The movement to support independent decision-making by adolescents through providing information to them and securing their consent apart from their parents is encouraged by those legal understandings that hold that unemancipated minors should generally be considered as possessing effective decisional capacity. Such legal structures, however, do not adequately take account of the wide variations in adolescent capacities, the immaturity of most adolescent decision-makers, or the important contributions made by parents to the development of their adolescents through parental partnering in the adolescent's decision-making. The data available indicate that in general adolescents should be regarded as apprentice decision-makers who should make decisions in collaboration with their parents until at least the age of 18. Steps should not be taken pre-emptively to isolate adolescents from the guidance of their parents. As a general rule, what Piker has referred to as "collaborative paternalism" appears most likely both to protect adolescents from their own untoward choices, while also very importantly helping them with parental guidance to develop into mature decision-makers with the capacity to make medical choices on their own.

A decision framework for coordinating bioterrorism planning: lessons from the BioNet program.

PubMed

Manley, Dawn K; Bravata, Dena M

2009-01-01

Effective disaster preparedness requires coordination across multiple organizations. This article describes a detailed framework developed through the BioNet program to facilitate coordination of bioterrorism preparedness planning among military and civilian decision makers. The authors and colleagues conducted a series of semistructured interviews with civilian and military decision makers from public health, emergency management, hazardous material response, law enforcement, and military health in the San Diego area. Decision makers used a software tool that simulated a hypothetical anthrax attack, which allowed them to assess the effects of a variety of response actions (eg, issuing warnings to the public, establishing prophylaxis distribution centers) on performance metrics. From these interviews, the authors characterized the information sources, technologies, plans, and communication channels that would be used for bioterrorism planning and responses. The authors used influence diagram notation to describe the key bioterrorism response decisions, the probabilistic factors affecting these decisions, and the response outcomes. The authors present an overview of the response framework and provide a detailed assessment of two key phases of the decision-making process: (1) pre-event planning and investment and (2) incident characterization and initial responsive measures. The framework enables planners to articulate current conditions; identify gaps in existing policies, technologies, information resources, and relationships with other response organizations; and explore the implications of potential system enhancements. Use of this framework could help decision makers execute a locally coordinated response by identifying the critical cues of a potential bioterrorism event, the information needed to make effective response decisions, and the potential effects of various decision alternatives.

Multi-Metric Sustainability Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cowlin, Shannon; Heimiller, Donna; Macknick, Jordan

2014-12-01

A readily accessible framework that allows for evaluating impacts and comparing tradeoffs among factors in energy policy, expansion planning, and investment decision making is lacking. Recognizing this, the Joint Institute for Strategic Energy Analysis (JISEA) funded an exploration of multi-metric sustainability analysis (MMSA) to provide energy decision makers with a means to make more comprehensive comparisons of energy technologies. The resulting MMSA tool lets decision makers simultaneously compare technologies and potential deployment locations.

Corporate financial decision makers' perceptions of their company's safety performance, programs and personnel: Do company size and industry injury risk matter?

PubMed

DeArmond, Sarah; Huang, Yueng-Hsiang; Chen, Peter Y; Courtney, Theodore K

2010-01-01

Top-level managers make important decisions about safety-related issues, yet little research has been done involving these individuals. The current study explored corporate financial decisions makers' perceptions of their company's safety and their justifications for these perceptions. This study also explored whether their perceptions and justifications varied as a function of company size or industry injury risk. A total of 404 individuals who were the most senior managers responsible for making decisions about property and casualty risk at their companies participated in this study. The participants took part in a telephone survey. The results suggest that corporate financial decision makers have positive views of safety at their companies relative to safety at other companies within their industries. Further, many believe their company's safety is influenced by the attention/emphasis placed on safety and the selection and training of safety personnel. Participants' perceptions varied somewhat based on the size of their company and the level of injury risk in their industry. While definitive conclusions about corporate financial decision makers' perceptions of safety cannot be reached as a result of this single study, this work does lay groundwork for future research aimed at better understanding the perceptions top-level managers.

A mechanism for bacterial transformation of dimethylsulfide to dimethylsulfoxide: a missing link in the marine organic sulfur cycle.

PubMed

Lidbury, Ian; Kröber, Eileen; Zhang, Zhidong; Zhu, Yijun; Murrell, J Colin; Chen, Yin; Schäfer, Hendrik

2016-09-01

The volatile organosulfur compound, dimethylsulfide (DMS), plays an important role in climate regulation and global sulfur biogeochemical cycles. Microbial oxidation of DMS to dimethylsulfoxide (DMSO) represents a major sink of DMS in surface seawater, yet the underlying molecular mechanisms and key microbial taxa involved are not known. Here, we reveal that Ruegeria pomeroyi, a model marine heterotrophic bacterium, can oxidize DMS to DMSO using trimethylamine monooxygenase (Tmm). Purified Tmm oxidizes DMS to DMSO at a 1:1 ratio. Mutagenesis of the tmm gene in R. pomeroyi completely abolished DMS oxidation and subsequent DMSO formation. Expression of Tmm and DMS oxidation in R. pomeroyi is methylamine-dependent and regulated at the post-transcriptional level. Considering that Tmm is present in approximately 20% of bacterial cells inhabiting marine surface waters, particularly the marine Roseobacter clade and the SAR11 clade, our observations contribute to a mechanistic understanding of biological DMSO production in surface seawater. © 2016 The Authors. Environmental Microbiology published by Society for Applied Microbiology and John Wiley & Sons Ltd.

Factor structure and psychometric properties of a Romanian translation of the drive for Muscularity Scale (DMS) in university men.

PubMed

Swami, Viren; Vintila, Mona; Tudorel, Otilia; Goian, Cosmin; Barron, David

2018-06-01

We examined the psychometric properties of a Romanian translation of the 15-item Drive for Muscularity Scale (DMS). Male university students from Romania (N = 343) completed the DMS, as well as measures of self-esteem, body appreciation, and muscle discrepancy. Exploratory factor analysis indicated that DMS scores reduced to two factors that related to muscularity-oriented attitudes and behaviours, with both first-order factors loading onto a higher-order factor. However, confirmatory factor analysis indicated that a model with two first-order factors and a higher-order factor had poor fit. A two-factor model without a higher-order construct achieved acceptable but mediocre fit. Scores on the two-factor DMS model had adequate internal consistency and demonstrated acceptable convergent validity (significant correlations with self-esteem, body appreciation, and muscle discrepancy). These results provide support for a two-factor model of DMS scores in a Romanian-speaking sample and extends the availability of the DMS to a rarely-examined linguistic group. Copyright © 2018 Elsevier Ltd. All rights reserved.

DMS-MaPseq for genome-wide or targeted RNA structure probing in vivo

PubMed Central

Zubradt, Meghan; Gupta, Paromita; Persad, Sitara; Lambowitz, Alan M.; Weissman, Jonathan S.; Rouskin, Silvi

2017-01-01

Coupling structure-specific in vivo chemical modification to next-generation sequencing is transforming RNA secondary structural studies in living cells. The dominant strategy for detecting in vivo chemical modifications uses reverse transcriptase truncation products, which introduces biases and necessitates population-average assessments of RNA structure. Here we present dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq), which encodes DMS modifications as mismatches using a thermostable group II intron reverse transcriptase (TGIRT). DMS-MaPseq yields a high signal-to-noise ratio, can report multiple structural features per molecule, and allows both genome-wide studies and focused in vivo investigations of even low abundance RNAs. We apply DMS-MaPseq for the first analysis of RNA structure within an animal tissue and to identify a functional structure involved in non-canonical translation initiation. Additionally, we use DMS-MaPseq to compare the in vivo structure of pre-mRNAs to their mature isoforms. These applications illustrate DMS-MaPseq’s capacity to dramatically expand in vivo analysis of RNA structure. PMID:27819661

Producing More Actionable Science Isn't the Problem; It's Providing Decision-Makers with Access to Right Actionable Knowledge

NASA Astrophysics Data System (ADS)

Trexler, M.

2017-12-01

Policy-makers today have almost infinite climate-relevant scientific and other information available to them. The problem for climate change decision-making isn't missing science or inadequate knowledge of climate risks; the problem is that the "right" climate change actionable knowledge isn't getting to the right decision-maker, or is getting there too early or too late to effectively influence her decision-making. Actionable knowledge is not one-size-fit-all, and for a given decision-maker might involve scientific, economic, or risk-based information. Simply producing more and more information as we are today is not the solution, and actually makes it harder for individual decision-makers to access "their" actionable knowledge. The Climatographers began building the Climate Web five years ago to test the hypothesis that a knowledge management system could help navigate the gap between infinite information and individual actionable knowledge. Today the Climate Web's more than 1,500 index terms allow instant access to almost any climate change topic. It is a curated public-access knowledgebase of more than 1,000 books, 2,000 videos, 15,000 reports and articles, 25,000 news stories, and 3,000 websites. But it is also much more, linking together tens of thousands of individually extracted ideas and graphics, and providing Deep Dives into more than 100 key topics from changing probability distributions of extreme events to climate communications best practices to cognitive dissonance in climate change decision-making. The public-access Climate Web is uniquely able to support cross-silo learning, collaboration, and actionable knowledge dissemination. The presentation will use the Climate Web to demonstrate why knowledge management should be seen as a critical component of science and policy-making collaborations.

Clarity versus complexity: land-use modeling as a practical tool for decision-makers

USGS Publications Warehouse

Sohl, Terry L.; Claggett, Peter

2013-01-01

The last decade has seen a remarkable increase in the number of modeling tools available to examine future land-use and land-cover (LULC) change. Integrated modeling frameworks, agent-based models, cellular automata approaches, and other modeling techniques have substantially improved the representation of complex LULC systems, with each method using a different strategy to address complexity. However, despite the development of new and better modeling tools, the use of these tools is limited for actual planning, decision-making, or policy-making purposes. LULC modelers have become very adept at creating tools for modeling LULC change, but complicated models and lack of transparency limit their utility for decision-makers. The complicated nature of many LULC models also makes it impractical or even impossible to perform a rigorous analysis of modeling uncertainty. This paper provides a review of land-cover modeling approaches and the issues causes by the complicated nature of models, and provides suggestions to facilitate the increased use of LULC models by decision-makers and other stakeholders. The utility of LULC models themselves can be improved by 1) providing model code and documentation, 2) through the use of scenario frameworks to frame overall uncertainties, 3) improving methods for generalizing key LULC processes most important to stakeholders, and 4) adopting more rigorous standards for validating models and quantifying uncertainty. Communication with decision-makers and other stakeholders can be improved by increasing stakeholder participation in all stages of the modeling process, increasing the transparency of model structure and uncertainties, and developing user-friendly decision-support systems to bridge the link between LULC science and policy. By considering these options, LULC science will be better positioned to support decision-makers and increase real-world application of LULC modeling results.

Consortium for Atlantic Regional Assessment: information tools for community adaptation to changes in climate or land use.

PubMed

Dempsey, Rachael; Fisher, Ann

2005-12-01

To inform local and regional decisions about protecting short-term and long-term quality of life, the Consortium for Atlantic Regional Assessment (CARA) provides data and tools (for the northeastern United States) that can help decision makers understand how outcomes of their decisions could be affected by potential changes in both climate and land use. On an interactive, user-friendly website, CARA has amassed data on climate (historical records and future projections for seven global climate models), land cover, and socioeconomic and environmental variables, along with tools to help decision makers tailor the data for their own decision types and locations. CARA Advisory Council stakeholders help identify what information and tools stakeholders would find most useful and how to present these; they also provide in-depth feedback for subregion case studies. General lessons include: (1) decision makers want detailed local projections for periods short enough to account for extreme events, in contrast to the broader spatial and temporal observations and projections that are available or consistent at a regional level; (2) stakeholders will not use such a website unless it is visually appealing and easy to find the information they want; (3) some stakeholders need background while others want to go immediately to data, and some want maps while others want text or tables. This article also compares what has been learned across case studies of Cape May County, New Jersey, Cape Cod, Massachusetts, and Hampton Roads, Virginia, relating specifically to sea-level rise. Lessons include: (1) groups can be affected differently by physical dangers compared with economic dangers; (2) decisions will differ according to decision makers' preferences about waiting and risk tolerance; (3) future scenarios and maps can help assess the impacts of dangers to emergency evacuation routes, homes, and infrastructure, and the natural environment; (4) residents' and decision makers' perceptions are affected by information about potential local impacts from global climate change.

Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization, DMS Industry Survey

DOE Office of Scientific and Technical Information (OSTI.GOV)

Singh, Ravindra; Uluski, Robert; Reilly, James T.

The objective of this survey is to benchmark current practices for DMS implementation to serve as a guide for future system implementations. The survey sought information on current plans to implement DMS, DMS functions of interest, implementation challenges, functional benefits achieved, and other relevant information. These survey results were combined (where possible) with results of similar surveys conducted in the previous four years to observe trends over time.

Trade-Off Between Dimethyl Sulfide and Isoprene Emissions from Marine Phytoplankton.

PubMed

Dani, K G Srikanta; Loreto, Francesco

2017-05-01

Marine phytoplankton emit volatile organic compounds (VOCs) such as dimethyl sulfide (DMS) and isoprene that influence air quality, cloud dynamics, and planetary albedo. We show that globally (i) marine phytoplankton taxa tend to emit either DMS or isoprene, and (ii) sea-water surface concentration and emission hotspots of DMS and isoprene have opposite latitudinal gradients. We argue that a convergence of antioxidant functions between DMS and isoprene is possible, driven by potential metabolic competition for photosynthetic substrates. Linking phytoplankton emission traits to their latitudinal niches, we hypothesize that natural selection favors DMS emission in cold (polar) waters and isoprene emission in warm (tropical) oceans, and that global warming may expand the geographic range of marine isoprene-emitters. A trade-off between DMS and isoprene at metabolic, organismal, and geographic levels may have important consequences for future marine biosphere-atmosphere interactions. Copyright © 2017 Elsevier Ltd. All rights reserved.

Safety of clinical and non-clinical decision makers in telephone triage: a narrative review.

PubMed

Wheeler, Sheila Q; Greenberg, Mary E; Mahlmeister, Laura; Wolfe, Nicole

2015-09-01

Patient safety is a persistent problem in telephone triage research; however, studies have not differentiated between clinicians' and non-clinicians' respective safety. Currently, four groups of decision makers perform aspects of telephone triage: clinicians (physicians, nurses), and non-clinicians (emergency medical dispatchers (EMD) and clerical staff). Using studies published between 2002-2012, we applied Donabedian's structure-process-outcome model to examine groups' systems for evidence of system completeness (a minimum measure of structure and quality). We defined system completeness as the presence of a decision maker and four additional components: guidelines, documentation, training, and standards. Defining safety as appropriate referrals (AR) - (right time, right place with the right person), we measured each groups' corresponding AR rate percentages (outcomes). We analyzed each group's respective decision-making process as a safe match to the telephone triage task, based on each group's system structure completeness, process and AR rates (outcome). Studies uniformly noted system component presence: nurses (2-4), physicians (1), EMDs (2), clerical staff (1). Nurses had the highest average appropriate referral (AR) rates (91%), physicians' AR (82% average). Clerical staff had no system and did not perform telephone triage by standard definitions; EMDs may represent the use of the wrong system. Telephone triage appears least safe after hours when decision makers with the least complete systems (physicians, clerical staff) typically manage calls. At minimum, telephone triage decision makers should be clinicians; however, clinicians' safety calls for improvement. With improved training, standards and CDSS quality, the 24/7 clinical call center has potential to represent the national standard. © The Author(s) 2015.

Priority setting in the provincial health services authority: survey of key decision makers

PubMed Central

Teng, Flora; Mitton, Craig; MacKenzie, Jennifer

2007-01-01

Background In recent years, decision makers in Canada and elsewhere have expressed a desire for more explicit, evidence-based approaches to priority setting. To achieve this aim within health care organizations, knowledge of both the organizational context and stakeholder attitudes towards priority setting are required. The current work adds to a limited yet growing body of international literature describing priority setting practices in health organizations. Methods A qualitative study was conducted using in-depth, face-to-face interviews with 25 key decision makers of the Provincial Health Services Authority (PHSA) of British Columbia. Major themes and sub-themes were identified through content analysis. Results Priorities were described by decision makers as being set in an ad hoc manner, with resources generally allocated along historical lines. Participants identified the Strategic Plan and a strong research base as strengths of the organization. The main areas for improvement were a desire to have a more transparent process for priority setting, a need to develop a culture which supports explicit priority setting, and a focus on fairness in decision making. Barriers to an explicit allocation process included the challenge of providing specialized services for disparate patient groups, and a lack of formal training in priority setting amongst decision makers. Conclusion This study identified factors important to understanding organizational context and informed next steps for explicit priority setting for a provincial health authority. While the PHSA is unique in its organizational structure in Canada, lessons about priority setting should be transferable to other contexts. PMID:17565691

Training conservation practitioners to be better decision makers

USGS Publications Warehouse

Johnson, Fred A.; Eaton, Mitchell J.; Williams, James H.; Jensen, Gitte H.; Madsen, Jesper

2015-01-01

Traditional conservation curricula and training typically emphasizes only one part of systematic decision making (i.e., the science), at the expense of preparing conservation practitioners with critical skills in values-setting, working with decision makers and stakeholders, and effective problem framing. In this article we describe how the application of decision science is relevant to conservation problems and suggest how current and future conservation practitioners can be trained to be better decision makers. Though decision-analytic approaches vary considerably, they all involve: (1) properly formulating the decision problem; (2) specifying feasible alternative actions; and (3) selecting criteria for evaluating potential outcomes. Two approaches are available for providing training in decision science, with each serving different needs. Formal education is useful for providing simple, well-defined problems that allow demonstrations of the structure, axioms and general characteristics of a decision-analytic approach. In contrast, practical training can offer complex, realistic decision problems requiring more careful structuring and analysis than those used for formal training purposes. Ultimately, the kinds and degree of training necessary depend on the role conservation practitioners play in a decision-making process. Those attempting to facilitate decision-making processes will need advanced training in both technical aspects of decision science and in facilitation techniques, as well as opportunities to apprentice under decision analysts/consultants. Our primary goal should be an attempt to ingrain a discipline for applying clarity of thought to all decisions.

Decision making, procedural compliance, and outcomes definition in U.S. forest service planning processes

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stern, Marc J., E-mail: mjstern@vt.ed; Predmore, S. Andrew, E-mail: sapredmo@vt.ed

2011-04-15

The National Environmental Policy Act (NEPA) dictates a process of analyzing and disclosing the likely impacts of proposed agency actions on the human environment. This study addresses two key questions related to NEPA implementation in the U.S. Forest Service: 1) how do Interdisciplinary (ID) team leaders and decision makers conceptualize the outcomes of NEPA processes? And 2), how does NEPA relate to agency decision making? We address these questions through two separate online surveys that posed questions about recently completed NEPA processes - the first with the ID team leaders tasked with carrying out the processes, and the second withmore » the line officers responsible for making the processes' final decisions. Outcomes of NEPA processes include impacts on public relations, on employee morale and team functioning, on the achievement of agency goals, and on the achievement of NEPA's procedural requirements (disclosure) and substantive intent (minimizing negative environmental impacts). Although both tended to view public relations outcomes as important, decision makers' perceptions of favorable outcomes were more closely linked to the achievement of agency goals and process efficiency than was the case for ID team leaders. While ID team leaders' responses suggest that they see decision making closely integrated with the NEPA process, decision makers more commonly decoupled decision making from the NEPA process. These findings suggest a philosophical difference between ID team leaders and decision makers that may pose challenges for both the implementation and the evaluation of agency NEPA. We discuss the pros and cons of integrating NEPA with decision making or separating the two. We conclude that detaching NEPA from decision making poses greater risks than integrating them.« less

Embedding health policy and systems research into decision-making processes in low- and middle-income countries

PubMed Central

2013-01-01

Attention is increasingly directed to bridging the gap between the production of knowledge and its use for health decision-making in low- and middle-income countries (LMICs). An important and underdeveloped area of health policy and systems research (HPSR) is the organization of this process. Drawing from an interdisciplinary conception of embeddedness, a literature review was conducted to identify examples of embedded HPSR used to inform decision-making in LMICs. The results of the literature review were organized according to the World Health Organization’s Building Blocks Framework. Next, a conceptual model was created to illustrate the arrangement of organizations that produce embedded HPSR and the characteristics that facilitate its uptake into the arena of decision-making. We found that multiple forces converge to create context-specific pathways through which evidence enters into decision-making. Depending on the decision under consideration, the literature indicates that decision-makers may call upon an intricate combination of actors for sourcing HPSR. While proximity to decision-making does have advantages, it is not the position of the organization within the network, but rather the qualities the organization possesses, that enable it to be embedded. Our findings suggest that four qualities influence embeddedness: reputation, capacity, quality of connections to decision-makers, and quantity of connections to decision-makers and others. In addition to this, the policy environment (e.g. the presence of legislation governing the use of HPSR, presence of strong civil society, etc.) strongly influences uptake. Through this conceptual model, we can understand which conditions are likely to enhance uptake of HPSR in LMIC health systems. This raises several important considerations for decision-makers and researchers about the arrangement and interaction of evidence-generating organizations in health systems. PMID:23924162

A meta-analysis of gender stereotypes and bias in experimental simulations of employment decision making.

PubMed

Koch, Amanda J; D'Mello, Susan D; Sackett, Paul R

2015-01-01

Gender bias continues to be a concern in many work settings, leading researchers to identify factors that influence workplace decisions. In this study we examine several of these factors, using an organizing framework of sex distribution within jobs (including male- and female-dominated jobs as well as sex-balanced, or integrated, jobs). We conducted random effects meta-analyses including 136 independent effect sizes from experimental studies (N = 22,348) and examined the effects of decision-maker gender, amount and content of information available to the decision maker, type of evaluation, and motivation to make careful decisions on gender bias in organizational decisions. We also examined study characteristics such as type of participant, publication year, and study design. Our findings revealed that men were preferred for male-dominated jobs (i.e., gender-role congruity bias), whereas no strong preference for either gender was found for female-dominated or integrated jobs. Second, male raters exhibited greater gender-role congruity bias than did female raters for male-dominated jobs. Third, gender-role congruity bias did not consistently decrease when decision makers were provided with additional information about those they were rating, but gender-role congruity bias was reduced when information clearly indicated high competence of those being evaluated. Fourth, gender-role congruity bias did not differ between decisions that required comparisons among ratees and decisions made about individual ratees. Fifth, decision makers who were motivated to make careful decisions tended to exhibit less gender-role congruity bias for male-dominated jobs. Finally, for male-dominated jobs, experienced professionals showed smaller gender-role congruity bias than did undergraduates or working adults. (c) 2015 APA, all rights reserved.

Embedding health policy and systems research into decision-making processes in low- and middle-income countries.

PubMed

Koon, Adam D; Rao, Krishna D; Tran, Nhan T; Ghaffar, Abdul

2013-08-08

Attention is increasingly directed to bridging the gap between the production of knowledge and its use for health decision-making in low- and middle-income countries (LMICs). An important and underdeveloped area of health policy and systems research (HPSR) is the organization of this process. Drawing from an interdisciplinary conception of embeddedness, a literature review was conducted to identify examples of embedded HPSR used to inform decision-making in LMICs. The results of the literature review were organized according to the World Health Organization's Building Blocks Framework. Next, a conceptual model was created to illustrate the arrangement of organizations that produce embedded HPSR and the characteristics that facilitate its uptake into the arena of decision-making. We found that multiple forces converge to create context-specific pathways through which evidence enters into decision-making. Depending on the decision under consideration, the literature indicates that decision-makers may call upon an intricate combination of actors for sourcing HPSR. While proximity to decision-making does have advantages, it is not the position of the organization within the network, but rather the qualities the organization possesses, that enable it to be embedded. Our findings suggest that four qualities influence embeddedness: reputation, capacity, quality of connections to decision-makers, and quantity of connections to decision-makers and others. In addition to this, the policy environment (e.g. the presence of legislation governing the use of HPSR, presence of strong civil society, etc.) strongly influences uptake. Through this conceptual model, we can understand which conditions are likely to enhance uptake of HPSR in LMIC health systems. This raises several important considerations for decision-makers and researchers about the arrangement and interaction of evidence-generating organizations in health systems.

Do violations of the axioms of expected utility theory threaten decision analysis?

PubMed

Nease, R F

1996-01-01

Research demonstrates that people violate the independence principle of expected utility theory, raising the question of whether expected utility theory is normative for medical decision making. The author provides three arguments that violations of the independence principle are less problematic than they might first appear. First, the independence principle follows from other more fundamental axioms whose appeal may be more readily apparent than that of the independence principle. Second, the axioms need not be descriptive to be normative, and they need not be attractive to all decision makers for expected utility theory to be useful for some. Finally, by providing a metaphor of decision analysis as a conversation between the actual decision maker and a model decision maker, the author argues that expected utility theory need not be purely normative for decision analysis to be useful. In short, violations of the independence principle do not necessarily represent direct violations of the axioms of expected utility theory; behavioral violations of the axioms of expected utility theory do not necessarily imply that decision analysis is not normative; and full normativeness is not necessary for decision analysis to generate valuable insights.

Biogeochemistry of Dimethylsulfide, Dimethylsulfoniopropionate, and Acrylic Acid in the Changjiang Estuary and the East China Sea

NASA Astrophysics Data System (ADS)

Wu, Xi; Li, Pei-Feng; Liu, Chun-Ying; Zhang, Hong-Hai; Yang, Gui-Peng; Zhang, Sheng-Hui; Zhu, Mao-Xu

2017-12-01

The distributions of dimethylsulfide (DMS), dimethylsulfoniopropionate (DMSP), and acrylic acid (AA) were investigated in the Changjiang Estuary during winter (dry season) and summer (wet season) 2014 and in the East China Sea (ECS) during summer 2015. The rates of dissolved DMSP (DMSPd) degradation with DMS and AA production, DMS degradation, and AA degradation in the ECS were also studied. Significant seasonal variations in DMS(P) and AA concentrations were observed in the Changjiang Estuary with higher values during the wet season than during the dry season. The maximum ratio of AA/chlorophyll a (Chl a) occurred at the mouth of the Changjiang Estuary due to the combined effects of production from DMSP and terrestrial inputs from the Changjiang Estuary. The distributions of DMS(P) and AA in the ECS were dramatically influenced by the Kuroshio Current and the upwelling caused by the Taiwan Warm Current. The ratios of DMS(P)/Chl a and AA/Chl a exhibited similar patterns in the surface seawater of the ECS, which indicated that phytoplankton species and biomass might play important roles in controlling the distributions of DMS(P) and AA. In vertical profiles, high values of AA emerged in the upper water column and bottom seawater of the Changjiang Estuary. Meanwhile, the maxima of DMS(P) and AA generally appeared in the surface or euphotic layer, whereas their minima arose in the bottom seawater of the ECS. The degradation rates of DMSPd, DMS, and AA in the inshore waters were higher than those in the open sea.

Characteristics of the horizontal and vertical distributions of dimethyl sulfide throughout the Amundsen Sea Polynya.

PubMed

Kim, Intae; Hahm, Doshik; Park, Keyhong; Lee, Youngju; Choi, Jung-Ok; Zhang, Miming; Chen, Liqi; Kim, Hyun-Cheol; Lee, SangHoon

2017-04-15

We investigated horizontal and vertical distributions of DMS in the upper water column of the Amundsen Sea Polynya and Pine Island Polynya during the austral summer (January-February) of 2016 using a membrane inlet mass spectrometer (MIMS) onboard the Korean icebreaker R/V Araon. The surface water concentrations of DMS varied from <1 to 400nM. The highest DMS (up to 300nM) were observed in sea ice-polynya transition zones and near the Getz ice shelf, where both the first local ice melting and high plankton productivity were observed. In other regions, high DMS concentration was generally accompanied by higher chlorophyll and ΔO 2 /Ar. The large spatial variability of DMS and primary productivity in the surface water of the Amundsen Sea seems to be attributed to melting conditions of sea ice, relative dominance of Phaeocystis Antarctica as a DMS producer, and timing differences between bloom and subsequent DMS productions. The depth profiles of DMS and ΔO 2 /Ar were consistent with the horizontal surface data, showing noticeable spatial variability. However, despite the large spatial variability, in contrast to the previous results from 2009, DMS concentrations and ΔO 2 /Ar in the surface water were indistinct between the two major domains: the sea ice zone and polynya region. The discrepancy may be associated with inter-annual variations of phytoplankton assemblages superimposed on differences in sea-ice conditions, blooming period, and spatial coverage along the vast surface area of the Amundsen Sea. Copyright © 2017 Elsevier B.V. All rights reserved.

Dimethylsulfide Chemistry: Annual, Seasonal, and Spatial Impacts on Sulfate

EPA Science Inventory

We incorporated oceanic emissions and atmospheric chemistry of dimethylsulfide (DMS) into the hemispheric Community Multiscale Air Quality model and performed annual model simulations without and with DMS chemistry. The model without DMS chemistry predicts higher concentrations o...

The effects of close binaries on the magnetic activity of M dwarfs as probed using close white dwarf companions

NASA Astrophysics Data System (ADS)

Morgan, D. P.

2017-01-01

I present a study of close white dwarf (WD) and M dwarf (dM) binary systems (WD+dM) to examine the effects that close companions have on magnetic field generation in dMs. Using the Sloan Digital Sky Survey (SDSS) Data Release 8 spectroscopic database, I constructed a sample of 1756 WD+dM high-quality pairs. I show that early-type dMs (M4), where stars become fully convective, the activity fraction and activity lifetimes of WD+dM binary systems become more comparable to those of the field dMs. The implications of having a close binary companion may include: increased stellar rotation through disk disruption, tidal effects, and/or angular momentum exchange. Thus, the similarity in activity between late-type field dMs and late-type dMs with close companions is likely due to the mechanism generating magnetic fields being less sensitive to the effects caused by a close companion; namely, increased stellar rotation. Using a subset of 181 close WD+dM pairs, matched to the time-domain SDSS Stripe 82 catalog, I show that enhanced magnetic activity extends to the flaring behavior of dMs in close binaries. Specifically, early spectral type dMs (M0-M4), in close WD+dM pairs, are two orders of magnitude more likely to flare than field dMs, whereas late-type dMs (M4-M6) in close WD+dM pairs flare as frequently or less than the late-type field dM sample. To test whether the presence of a close companion leads to star-star interactions, I searched for correlations between the WD occultations and flares from the dM member in KOI-256, an eclipsing WD+dM system. I find no correlations between the flaring activity of the dM and the WD occultations, indicating the there are no obvious signs of star-star interactions at work. In addition, the dM member of KOI-256 flares more than any other dM observed by Kepler and shows evidence for solar-like magnetic activity cycles, a feature not seen in many dMs to date.

Data management system advanced development

NASA Technical Reports Server (NTRS)

Douglas, Katherine; Humphries, Terry

1990-01-01

The Data Management System (DMS) Advanced Development task provides for the development of concepts, new tools, DMS services, and for the testing of the Space Station DMS hardware and software. It also provides for the development of techniques capable of determining the effects of system changes/enhancements, additions of new technology, and/or hardware and software growth on system performance. This paper will address the built-in characteristics which will support network monitoring requirements in the design of the evolving DMS network implementation, functional and performance requirements for a real-time, multiprogramming, multiprocessor operating system, and the possible use of advanced development techniques such as expert systems and artificial intelligence tools in the DMS design.

Surrogate End-of-Life Care Decision Makers' Postbereavement Grief and Guilt Responses.

PubMed

Lovell, Geoff P; Smith, Trish; Kannis-Dymand, Lee

2015-01-01

This article examined differences in familial/friend surrogate decision makers' (N = 93) postbereavement grief and guilt associated with decisions to either prioritize comfort or longevity in determining end-of-life care for decisionally incapacitated adult palliative loved ones. Results demonstrated that participants prioritizing the longevity of loved ones experienced significantly and meaningfully higher levels of grief, complicated grief, and trauma related guilt than those who prioritized comfort.

The Roles of Decision Makers in Special Operations

DTIC Science & Technology

2016-12-01

question and hypotheses. 9 II. CASE STUDIES A. OPERATION THUNDERBOLT (THE RAID ON ENTEBBE) The Israeli Special Forces’ hostage rescue operation...Operations Warfare, 338. 28 Herzog, “The War Against Terrorism: Entebbe,” 338. 29 Chaitanya Arun Sathe, “A Case Study on Crisis Management with a...Assessment of the Roles of Decision Makers This assessment is based on this case study , and the decision makers’ roles in the three phases of a

Assessing Generalisability in Model-Based Economic Evaluation Studies: A Structured Review in Osteoporosis

PubMed Central

Urdahl, Hege; Manca, Andrea; Sculpher, Mark J

2008-01-01

Background To support decision making many countries have now introduced some formal assessment process to evaluate whether health technologies represent good ‘value for money’. These often take the form of decision models which can be used to explore elements of importance to generalisability of study results across clinical settings and jurisdictions. The objectives of the present review were to assess: (i) whether the published studies clearly defined the decision-making audience for the model; (ii) the transparency of the reporting in terms of study question, structure and data inputs; (iii) the relevance of the data inputs used in the model to the stated decision-maker or jurisdiction; and (iv) how fully the robustness of the model's results to variation in data inputs between locations was assessed. Methods Articles reporting decision-analytic models in the area of osteoporosis were assessed to establish the extent to which the information provided enabled decision makers in different countries/jurisdictions to fully appreciate the variability of results according to location, and the relevance to their own. Results Of the 18 articles included in the review, only three explicitly stated the decision-making audience. It was not possible to infer a decision-making audience in eight studies. Target population was well reported, as was resource and cost data, and clinical data used for estimates of relative risk reduction. However, baseline risk was rarely adapted to the relevant jurisdiction, and when no decision-maker was explicit it was difficult to assess whether the reported cost and resource use data was in fact relevant. A few studies used sensitivity analysis to explore elements of generalisability, such as compliance rates and baseline fracture risk rates, although such analyses were generally restricted to evaluating parameter uncertainty. Conclusion This review found that variability in cost-effectiveness across locations is addressed to a varying extent in modelling studies in the field of osteoporosis, limiting their use for decision-makers across different locations. Transparency of reporting is expected to increase as methodology develops, and decision-makers publish “reference case” type guidance. PMID:17129074

Learning by doing in practice: a roundtable discussion about stakeholder engagement in implementation research.

PubMed

Arwal, Said Habib; Aulakh, Bhupinder Kaur; Bumba, Ahmed; Siddula, Akshita

2017-12-28

Researchers and policy-makers alike increasingly recognise the importance of engaging diverse perspectives in implementation research. This roundtable discussion presents the experiences and perspectives of three decision-makers regarding the benefits and challenges of their engagement in implementation research. The first perspective comes from a rural district medical officer from Uganda and touches on the success of using data as evidence in a low-resource setting. The second perspective is from an Afghani Ministry of Health expert who used a community-based approach to improving healthcare services in remote regions. Finally, the third perspective highlights the successes and trials of a policy-maker from India who offers advice on how to grow the relationship between decision-makers and researchers. Overall, the stakeholders in this roundtable discussion saw important benefits to their engagement in research. In order to facilitate greater engagement in the future, they advise on closer dialogue between researchers and policy-makers and supporting the development of capacity to stimulate and facilitate engagement in research and the use of evidence in decision-making.

The Morality of University Decision-Makers

ERIC Educational Resources Information Center

Hatier, Cécile

2014-01-01

Ethical failures in UK higher education have recently made the news but are not a recent development. University decision-makers can, in order to adopt an ethical way of reasoning, resort to several ethical traditions. This article focuses, through the use of concrete examples, on three which have had a significant impact in recent higher…

Reluctant to Change: Self-Enhancing Responses to Diverging Performance Measures

ERIC Educational Resources Information Center

Audia, Pino G.; Brion, Sebastien

2007-01-01

Although there is extensive evidence that past performance influences the propensity to make changes, research on how decision makers respond to diverging performance measures has been sparse. This paper addresses this gap in an experimental and a field study in which we examine how decision makers respond to the ambiguity introduced by two…

Students as Rational Decision-Makers: The Question of Beliefs and Attitudes

ERIC Educational Resources Information Center

Sullivan, Alice

2006-01-01

Rational choice theorists have analysed rates of participation in post-compulsory education, and, in particular, class differentials in these rates. Various claims have been made about the motivations of student decision-makers, but these claims have not been grounded empirically. This paper will assess the question of whether students' attitudes…

Reported Influence of Evaluation Data on Decision Makers' Actions: An Empirical Examination

ERIC Educational Resources Information Center

Christie, Christina A.

2007-01-01

Using a set of scenarios derived from actual evaluation studies, this simulation study examines the reported influence of evaluation information on decision makers' potential actions. Each scenario described a context where one of three types of evaluation information (large-scale study data, case study data, or anecdotal accounts) is presented…

Healthy School Meals...Healthy Kids! A Leadership Guide for School Decision-Makers.

ERIC Educational Resources Information Center

Food and Consumer Service (USDA), Washington, DC.

The School Meals Initiative for Healthy Children was launched in June 1994 to improve the health and education of children through better nutrition. This leadership guide provides information to school decision-makers on using materials and resources developed by the U.S. Department of Agriculture and describes Team Nutrition, an implementation…

Children's Participation in Decision-Making in the Philippines: Understanding the Attitudes of Policy-Makers and Service Providers

ERIC Educational Resources Information Center

Bessell, Sharon

2009-01-01

This article explores the ideas about children's participation in decision-making held by government officials and non-government representatives engaged in promoting children's participation in the Philippines. It suggests that the ideas that policy-makers and service deliverers hold about children's participation are heterogeneous, diverse and…

Modeling of the Space Station Freedom data management system

NASA Technical Reports Server (NTRS)

Johnson, Marjory J.

1990-01-01

The Data Management System (DMS) is the information and communications system onboard Space Station Freedom (SSF). Extensive modeling of the DMS is being conducted throughout NASA to aid in the design and development of this vital system. Activities discussed at NASA Ames Research Center to model the DMS network infrastructure are discussed with focus on the modeling of the Fiber Distributed Data Interface (FDDI) token-ring protocol and experimental testbedding of networking aspects of the DMS.

The Lifetime of DMS in Northern Latitudes: Results from Four Shipboard Experiments

NASA Astrophysics Data System (ADS)

Norman, A.; Wadleigh, M. A.; Zaganescu, C.; Burridge, C.; Eaton, S.; Seguin, M.; Siauw, A.; Sharma, S.; Levasseur, M.; Scarratt, M.; Michaud, S.; Leaitch, R.; Blanchet, J.; Steiner, N.; McFarlane, N.

2006-12-01

The lifetime of dimethylsulfide (DMS) is usually referred to as being a day or more and is typically based on oxidation by OH and nitrate. However, the definition of DMS lifetime is not simply academic. It is an essential component for climate models attempting to estimate the effect of DMS oxidation as a feedback to global warming: an effect that is of increasing importance at high latitudes. The relevance of DMS oxidation by halogens, which are present at concentrations below detection limits of most current instrumentation, has largely been left as a modeling exercise. However, recent results from studies incorporating DMS flux from surface water and atmospheric measurements at mid to high latitudes permit a closer examination of the assumptions surrounding oxidation. A unique series of atmospheric and ocean DMS measurements were performed as part of Canadian Surface Ocean Lower Atmosphere Study (C-SOLAS) in 2002 and 2003 to clarify new aerosol formation. Month-long shipboard campaigns were conducted in the summer of 2002 over the North Pacific and a seasonal study with three campaigns was performed in 2003 above the NW Atlantic. Land- and ship-based measurements of the oxidation products sulphur dioxide, aerosol sulphate, and methane sulfonic acid provide a larger context in which to place the results. Sulphur isotope apportionment was used to quantify the contribution of DMS to sulphate and sulphur dioxide to link gas concentrations with biogenic aerosol formation.

I know why you voted for Trump: (Over)inferring motives based on choice.

PubMed

Barasz, Kate; Kim, Tami; Evangelidis, Ioannis

2018-05-10

People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen option's attribute values (e.g., a candidate's specific stance on a policy issue) to infer the importance of that attribute (e.g., the policy issue) to the decision-maker. Consequently, when a chosen option has an attribute whose value is extreme (e.g., an extreme policy stance), observers infer-sometimes incorrectly-that this attribute disproportionately motivated the decision-maker's choice. Seven studies demonstrate how observers use an attribute's value to infer its weight-the value-weight heuristic-and identify the role of perceived diagnosticity: more extreme attribute values give observers the subjective sense that they know more about a decision-maker's preferences, and in turn, increase the attribute's perceived importance. The paper explores how this heuristic can produce erroneous inferences and influence broader beliefs about decision-makers. Copyright © 2018 Elsevier B.V. All rights reserved.

Constrained optimization via simulation models for new product innovation

NASA Astrophysics Data System (ADS)

Pujowidianto, Nugroho A.

2017-11-01

We consider the problem of constrained optimization where the decision makers aim to optimize the primary performance measure while constraining the secondary performance measures. This paper provides a brief overview of stochastically constrained optimization via discrete event simulation. Most review papers tend to be methodology-based. This review attempts to be problem-based as decision makers may have already decided on the problem formulation. We consider constrained optimization models as there are usually constraints on secondary performance measures as trade-off in new product development. It starts by laying out different possible methods and the reasons using constrained optimization via simulation models. It is then followed by the review of different simulation optimization approach to address constrained optimization depending on the number of decision variables, the type of constraints, and the risk preferences of the decision makers in handling uncertainties.

Dimethylsulfoniopropionate (DMSP) and dimethyl sulfide (DMS) cycling across contrasting biological hotspots of the New Zealand subtropical front

NASA Astrophysics Data System (ADS)

Lizotte, Martine; Levasseur, Maurice; Law, Cliff S.; Walker, Carolyn F.; Safi, Karl A.; Marriner, Andrew; Kiene, Ronald P.

2017-11-01

The oceanic frontal region above the Chatham Rise east of New Zealand was investigated during the late austral summer season in February and March 2012. Despite its potential importance as a source of marine-originating and climate-relevant compounds, such as dimethyl sulfide (DMS) and its algal precursor dimethylsulfoniopropionate (DMSP), little is known of the processes fuelling the reservoirs of these sulfur (S) compounds in the water masses bordering the subtropical front (STF). This study focused on two opposing short-term fates of DMSP-S following its uptake by microbial organisms (either its conversion into DMS or its assimilation into bacterial biomass) and has not considered dissolved non-volatile degradation products. Sampling took place in three phytoplankton blooms (B1, B2, and B3) with B1 and B3 occurring in relatively nitrate-rich, dinoflagellate-dominated subantarctic waters, and B2 occurring in nitrate-poor subtropical waters dominated by coccolithophores. Concentrations of total DMSP (DMSPt) and DMS were high across the region, up to 160 and 14.5 nmol L-1, respectively. Pools of DMSPt showed a strong association with overall phytoplankton biomass proxied by chlorophyll a (rs = 0.83) likely because of the persistent dominance of dinoflagellates and coccolithophores, both DMSP-rich taxa. Heterotrophic microbes displayed low S assimilation from DMSP (less than 5 %) likely because their S requirements were fulfilled by high DMSP availability. Rates of bacterial protein synthesis were significantly correlated with concentrations of dissolved DMSP (DMSPd, rs = 0.86) as well as with the microbial conversion efficiency of DMSPd into DMS (DMS yield, rs = 0.84). Estimates of the potential contribution of microbially mediated rates of DMS production (0.1-27 nmol L-1 day-1) to the near-surface concentrations of DMS suggest that bacteria alone could not have sustained DMS pools at most stations, indicating an important role for phytoplankton-mediated DMS production. The findings from this study provide crucial information on the distribution and cycling of DMS and DMSP in a critically under-sampled area of the global ocean, and they highlight the importance of oceanic fronts as hotspots of the production of marine biogenic S compounds.

Factors controlling fluxes of volatile sulfur compounds in Sphagnum peatlands. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Demello, William Zamboni

1992-01-01

Exchange of DMS and OCS between the surface of Sphagnum peatlands and the atmosphere were measured with dynamic (S-free sweep air) and static enclosures. DMS emission rates determined by both methods were comparable. The dynamic method provided positive OCS flux rates (emission) for measurements performed at sites containing Sphagnum. Conversely, data from the static method indicated that OCS was consumed from the atmosphere. Short and long-term impacts of increased S deposition on fluxes of volatile S compounds (VSC's) from Sphagnum peatlands were investigated in a poor fen (Mire 239) at the Experimental Lakes Area, Ontario, Canada. Additional experiments were conducted in a poor fen (Sallie's Fen in Barrington, NH, USA). At Mire 239, emissions of VSC's were monitored, before and after acidification, at control and experimental sections within two major physiographic areas of the mire (oligotrophic and minerotrophic). DMS was the predominant VSC released from Mire 239 and varied largely with time and space. Sulfur addition did not affect DMS emissions in a period of hours to a few days. DMS emissions in the experimental oligotrophic area of the mire was approximately 3-fold greater than in the control oligotrophic area, and approximately 10-fold greater than in the minerotrophic zones. These differences could be due to a combination of differences in types of vegetation, nutritional status, and S input. At Sallie's Fen, DMS fluxes were not significantly affected by sulfate amendments, while DMS and MSH concentrations increased greatly with time in the top 10 cm of the peat column. The major environmental factors controlling fluxes of DMS in a Sphagnum-dominated peatland were investigated in Sallie's Fen, NH. DMS emissions from the surface of the peatland varied greatly over 24 hours and seasonally. Temperature seemed to be the major environmental factor controlling these variabilities. Concentrations of dissolved VSC's varied with time and space throughout the fen. Dissolved DMS, MSH, and OCS in the surface of the water table were supersaturated with respect to their concentrations in the atmosphere. Sphagnum mosses did not appear to be a direct source of VSC's, however they increase transport of DMS from the peat surface to the atmosphere.

Different apoptotic effects of [Pt(O,O′-acac)(γ-acac)(DMS)] and cisplatin on normal and cancerous human epithelial breast cells in primary culture

PubMed Central

Vetrugno, Carla; Muscella, Antonella; Fanizzi, Francesco Paolo; Cossa, Luca Giulio; Migoni, Danilo; De Pascali, Sandra Angelica; Marsigliante, Santo

2014-01-01

Background and Purpose The aim of this study was to determine whether [platinum (Pt)(O,O′-acetylacetonate (acac))(γ-acac)(dimethylsulphide (DMS))] is differentially cytotoxic in normal and cancer cells, and to measure comparative levels of cytotoxicity compared with cisplatin in the same cells. Experimental Approach We performed experiments on cancerous and normal epithelial breast cells in primary culture obtained from the same patients. The apoptotic effects [Pt(O,O′-acac)(γ-acac)(DMS)] and cisplatin in cancerous and normal breast cells were compared. Key Results Cancer cells were more sensitive to [Pt(O,O′-acac)(γ-acac)(DMS)] (IC50 = 5.22 ± 1.2 μmol·L−1) than normal cells (IC50 = 116.9 ± 8.8 μmol·L−1). However, the difference was less strong when cisplatin was used (IC50 = 96.0 ± 6.9 and 61.9 ± 6.1 μmol·L−1 for cancer and normal cells respectively). Both compounds caused reactive oxygen species (ROS) production with different mechanisms: [Pt(O,O′-acac)(γ-acac)(DMS)] quickly activated NAD(P)H oxidase while cisplatin caused a slower formation of mitochondrial ROS. Cisplatin and [Pt(O,O′-acac)(γ-acac)(DMS)] caused activation of caspases, proteolysis of PARP and modulation of Bcl-2, Bax and Bid. [Pt(O,O′-acac)(γ-acac)(DMS)] also caused leakage of cytochrome c from the mitochondria. Overall, these processes proceeded more quickly in cells treated with [Pt(O,O′-acac)(γ-acac)(DMS)] compared with cisplatin. [Pt(O,O′-acac)(γ-acac)(DMS)] effects were faster and quantitatively greater in cancer than in normal cells. [Pt(O,O′-acac)(γ-acac)(DMS)] caused a fast decrease of mitochondrial membrane potential, especially in cancer cells. Conclusions and Implications [Pt(O,O′-acac)(γ-acac)(DMS)] was specific to breast cancer cells in primary culture, and this observation makes this compound potentially more interesting than cisplatin. PMID:24990093

Dimethylsulfide chemistry: annual, seasonal, and spatial impacts on SO_4^(2-)

EPA Science Inventory

We incorporated oceanic emissions and atmospheric chemistry of dimethylsulfide (DMS) into the hemispheric Community Multiscale Air Quality model and performed annual model simulations without and with DMS chemistry. The model without DMS chemistry predicts higher concentrations o...

Disease management in healthcare organizations: results of in-depth interviews with disease management decision makers.

PubMed

Whellan, David J; Cohen, Elizabeth J; Matchar, David B; Califf, Robert M

2002-07-01

Despite the widening use of disease management (DM) programs throughout the country, little is understood about the "state of DM" in healthcare systems and managed care organizations. To better characterize the range of users of DM in healthcare and to identify critical issues, both present and future, for DM. Qualitative survey. Forty-seven healthcare systems (n = 22) and managed care organizations (n = 25) were randomly selected. Decision makers were identified and interviewed between January 1, 2000, and March 31, 2000. We limited quantitative analysis to tabulations of suitable responses, without statistical testing. Responses were organized around 3 themes: models for DM, implementation strategies, and measurements of success. Of 47 decision makers surveyed, 42 (89%) reported that their organizations currently have (75%) or are working to develop (14%) DM programs. Although the goals of DM programs were similar, organizations took a variety of approaches to achieving these ends. There were typically 3 steps in implementing a DM program: analysis of patient data, external analysis, and organizational analysis. Decision makers believed that DM programs had only achieved partial success in reaching the 2 main goals of improved quality of care and cost savings. Given the variety of DM programs, there is a need to develop a classification scheme to allow for better comparison between programs. Further quantitative studies of decision makers' opinions would be helpful in developing programs and in designing necessary studies of patient management strategies.

Decision Making and Training: A Review of Theoretical and Empirical Studies of Decision Making and Their Implications for the Training of Decision Makers

DTIC Science & Technology

1975-08-01

34 of an outcome for the particular decisi’on maker involved. According to thio formulation the same decision outcome may appeal to dif- ferent...characterizing thes_ sources is in turmu of 1he two properties: degree of passivity and deoqreu of oopcrative,,’s. According to this conceptualizati on...procedure has been, however, is open to question. Data collected during field exercises have indicated that ratinqs often are omitted from spot reports, and

Interface-Assisted Synthesis of 2D Materials: Trend and Challenges.

PubMed

Dong, Renhao; Zhang, Tao; Feng, Xinliang

2018-06-18

The discovery of graphene one decade ago has triggered enormous interest in developing two-dimensional materials (2DMs)-that is 2D allotropes of various elements or compounds (consisting of two or more covalently bonded elements) or molecular frameworks with periodic structures. At present, various synthesis strategies have been exploited to produce 2DMs, such as top-down exfoliation and bottom-up chemical vapor deposition and solution synthesis methods. In this review article, we will highlight the interfacial roles toward the controlled synthesis of inorganic and organic 2DMs with varied structural features. We will summarize the state-of-the-art progress on interfacial synthesis strategies and address their advancements in the structural, morphological, and crystalline control by the direction of the arrangement of the molecules or precursors at a confined 2D space. First, we will provide an overview of the interfaces and introduce their advantages and uniqueness for the synthesis of 2DMs, followed by a brief classification of inorganic and organic 2DMs achieved by interfacial synthesis. Next, the currently developed interfacial synthesis strategies combined with representative inorganic and organic 2DMs are summarized, including the description of method details, the corresponding structural features, and the insights into the advantages and limitations of the synthesis methods, along with some recommendable characterization methods for understanding the interfacial assembly of the precursors and crystal growth of 2DMs. After that, we will discuss several classes of emerging organic 2DMs with particular emphasis on the structural control by the interfacial synthesis strategies. Note that, inorganic 2DMs will not be categorized separately due to the fact that a number of review articles have covered the synthesis, structure, processing, and applications. Finally, the challenges and perspectives are provided regarding the future development of interface-assisted synthesis of 2DMs with diverse structural and functional control.

Boundary layer and free-tropospheric dimethyl sulfide in the Arctic spring and summer

NASA Astrophysics Data System (ADS)

Ghahremaninezhad, Roghayeh; Norman, Ann-Lise; Croft, Betty; Martin, Randall V.; Pierce, Jeffrey R.; Burkart, Julia; Rempillo, Ofelia; Bozem, Heiko; Kunkel, Daniel; Thomas, Jennie L.; Aliabadi, Amir A.; Wentworth, Gregory R.; Levasseur, Maurice; Staebler, Ralf M.; Sharma, Sangeeta; Leaitch, W. Richard

2017-07-01

Vertical distributions of atmospheric dimethyl sulfide (DMS(g)) were sampled aboard the research aircraft Polar 6 near Lancaster Sound, Nunavut, Canada, in July 2014 and on pan-Arctic flights in April 2015 that started from Longyearbyen, Spitzbergen, and passed through Alert and Eureka, Nunavut, and Inuvik, Northwest Territories. Larger mean DMS(g) mixing ratios were present during April 2015 (campaign mean of 116 ± 8 pptv) compared to July 2014 (campaign mean of 20 ± 6 pptv). During July 2014, the largest mixing ratios were found near the surface over the ice edge and open water. DMS(g) mixing ratios decreased with altitude up to about 3 km. During April 2015, profiles of DMS(g) were more uniform with height and some profiles showed an increase with altitude. DMS reached as high as 100 pptv near 2500 m. Relative to the observation averages, GEOS-Chem (www.geos-chem.org) chemical transport model simulations were higher during July and lower during April. Based on the simulations, more than 90 % of the July DMS(g) below 2 km and more than 90 % of the April DMS(g) originated from Arctic seawater (north of 66° N). During April, 60 % of the DMS(g), between 500 and 3000 m originated from Arctic seawater. During July 2014, FLEXPART (FLEXible PARTicle dispersion model) simulations locate the sampled air mass over Baffin Bay and the Canadian Arctic Archipelago 4 days back from the observations. During April 2015, the locations of the air masses 4 days back from sampling were varied: Baffin Bay/Canadian Archipelago, the Arctic Ocean, Greenland and the Pacific Ocean. Our results highlight the role of open water below the flight as the source of DMS(g) during July 2014 and the influence of long-range transport (LRT) of DMS(g) from further afield in the Arctic above 2500 m during April 2015.

Designing evaluation studies to optimally inform policy: what factors do policy-makers in China consider when making resource allocation decisions on healthcare worker training programmes?

PubMed

Wu, Shishi; Legido-Quigley, Helena; Spencer, Julia; Coker, Richard James; Khan, Mishal Sameer

2018-02-23

In light of the gap in evidence to inform future resource allocation decisions about healthcare provider (HCP) training in low- and middle-income countries (LMICs), and the considerable donor investments being made towards training interventions, evaluation studies that are optimally designed to inform local policy-makers are needed. The aim of our study is to understand what features of HCP training evaluation studies are important for decision-making by policy-makers in LMICs. We investigate the extent to which evaluations based on the widely used Kirkpatrick model - focusing on direct outcomes of training, namely reaction of trainees, learning, behaviour change and improvements in programmatic health indicators - align with policy-makers' evidence needs for resource allocation decisions. We use China as a case study where resource allocation decisions about potential scale-up (using domestic funding) are being made about an externally funded pilot HCP training programme. Qualitative data were collected from high-level officials involved in resource allocation at the national and provincial level in China through ten face-to-face, in-depth interviews and two focus group discussions consisting of ten participants each. Data were analysed manually using an interpretive thematic analysis approach. Our study indicates that Chinese officials not only consider information about the direct outcomes of a training programme, as captured in the Kirkpatrick model, but also need information on the resources required to implement the training, the wider or indirect impacts of training, and the sustainability and scalability to other settings within the country. In addition to considering findings presented in evaluation studies, we found that Chinese policy-makers pay close attention to whether the evaluations were robust and to the composition of the evaluation team. Our qualitative study indicates that training programme evaluations that focus narrowly on direct training outcomes may not provide sufficient information for policy-makers to make decisions on future training programmes. Based on our findings, we have developed an evidence-based framework, which incorporates but expands beyond the Kirkpatrick model, to provide conceptual and practical guidance that aids in the design of training programme evaluations better suited to meet the information needs of policy-makers and to inform policy decisions.

Implementing CER: what will it take?

PubMed

Biskupiak, Joseph E; Dunn, Jeffrey D; Holtorf, Anke-Peggy

2012-06-01

Comparative effectiveness research (CER) is undeniably changing how drugs are developed, launched, priced, and reimbursed in the United States. But most organizations are still evaluating what CER can do for them and how and when they can utilize the data. A roundtable of stakeholders, including formulary decision makers, evaluated CER's possible effects on managed care organizations (MCOs) and what it may take to fully integrate CER into decision making. To examine the role of CER in current formulary decision making, compare CER to modeling, discuss ways CER may be used in the future, and describe CER funding sources. While decision makers from different types of organizations, such as pharmacy benefit management (PBM) companies and MCOs, may have varying definitions and expectations of CER, most thought leaders from a roundtable of stakeholders, including formulary decision makers, see value in CER's ability to enhance their formulary decision making. Formulary decision makers may be able to use CER to better inform their coverage decisions in areas such as benefit design, contracting, conditional reimbursement, pay for performance, and other alternative pricing arrangements. Real-world CER will require improvement in the health information technology infrastructure to better capture value-related information. The federal government is viewed as a key driver and funding source behind CER, especially for infrastructure and methods development, while industry will adapt the clinical development and create increasing CER evidence. CER then needs to be applied to determining value (or cost efficacy). It is expected that CER will continue to grow as a valuable component of formulary decision making. Future integration of CER into formulary decision making will require federal government and academic leadership, improvements in the health information technology infrastructure, ongoing funding, and improved and more consistent methodologies.

An Introspective Critique of Past, Present, and Future USGS Decision Support

NASA Astrophysics Data System (ADS)

Neff, B. P.; Pavlick, M.

2017-12-01

In response to increasing scrutiny of publicly funded science, the Water Mission Area of USGS is shifting its approach for informing decisions that affect the country. Historically, USGS has focused on providing sound science on cutting edge, societally relevant issues with the expectation that decision makers will take action on this information. In practice, scientists often do not understand or focus on the needs of decision makers and decision makers often cannot or do not utilize information produced by scientists. The Water Mission Area of USGS has recognized that it can better serve the taxpayer by delivering information more relevant to decision making in a form more conducive to its use. To this end, the Water Mission Area of USGS is seeking greater integration with the decision making process to better inform what information it produces. In addition, recognizing that the transfer of scientific knowledge to decision making is fundamentally a social process, USGS is embracing the use of social science to better inform how it delivers scientific information and facilitates its use. This study utilizes qualitative methods to document the evolution of decision support at USGS and provide a rationale for a shift in direction. Challenges to implementation are identified and collaborative opportunities to improve decision making are discussed.

Cognitive and emotional factors predicting decisional conflict among high-risk breast cancer survivors who receive uninformative BRCA1/2 results.

PubMed

Rini, Christine; O'Neill, Suzanne C; Valdimarsdottir, Heiddis; Goldsmith, Rachel E; Jandorf, Lina; Brown, Karen; DeMarco, Tiffani A; Peshkin, Beth N; Schwartz, Marc D

2009-09-01

To investigate high-risk breast cancer survivors' risk reduction decision making and decisional conflict after an uninformative BRCA1/2 test. Prospective, longitudinal study of 182 probands undergoing BRCA1/2 testing, with assessments 1-, 6-, and 12-months postdisclosure. Primary predictors were health beliefs and emotional responses to testing assessed 1-month postdisclosure. Main outcomes included women's perception of whether they had made a final risk management decision (decision status) and decisional conflict related to this issue. There were four patterns of decision making, depending on how long it took women to make a final decision and the stability of their decision status across assessments. Late decision makers and nondecision makers reported the highest decisional conflict; however, substantial numbers of women--even early and intermediate decision makers--reported elevated decisional conflict. Analyses predicting decisional conflict 1- and 12-months postdisclosure found that, after accounting for control variables and decision status, health beliefs and emotional factors predicted decisional conflict at different timepoints, with health beliefs more important 1 month after test disclosure and emotional factors more important 1 year later. Many of these women may benefit from decision making assistance. Copyright 2009 APA, all rights reserved.

The database search problem: a question of rational decision making.

PubMed

Gittelson, S; Biedermann, A; Bozza, S; Taroni, F

2012-10-10

This paper applies probability and decision theory in the graphical interface of an influence diagram to study the formal requirements of rationality which justify the individualization of a person found through a database search. The decision-theoretic part of the analysis studies the parameters that a rational decision maker would use to individualize the selected person. The modeling part (in the form of an influence diagram) clarifies the relationships between this decision and the ingredients that make up the database search problem, i.e., the results of the database search and the different pairs of propositions describing whether an individual is at the source of the crime stain. These analyses evaluate the desirability associated with the decision of 'individualizing' (and 'not individualizing'). They point out that this decision is a function of (i) the probability that the individual in question is, in fact, at the source of the crime stain (i.e., the state of nature), and (ii) the decision maker's preferences among the possible consequences of the decision (i.e., the decision maker's loss function). We discuss the relevance and argumentative implications of these insights with respect to recent comments in specialized literature, which suggest points of view that are opposed to the results of our study. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Spatiotemporal Variability of Dimethylsulphoniopropionate on a Fringing Coral Reef: The Role of Reefal Carbonate Chemistry and Environmental Variability

PubMed Central

Burdett, Heidi L.; Donohue, Penelope J. C.; Hatton, Angela D.; Alwany, Magdy A.; Kamenos, Nicholas A.

2013-01-01

Oceanic pH is projected to decrease by up to 0.5 units by 2100 (a process known as ocean acidification, OA), reducing the calcium carbonate saturation state of the oceans. The coastal ocean is expected to experience periods of even lower carbonate saturation state because of the inherent natural variability of coastal habitats. Thus, in order to accurately project the impact of OA on the coastal ocean, we must first understand its natural variability. The production of dimethylsulphoniopropionate (DMSP) by marine algae and the release of DMSP’s breakdown product dimethylsulphide (DMS) are often related to environmental stress. This study investigated the spatiotemporal response of tropical macroalgae (Padina sp., Amphiroa sp. and Turbinaria sp.) and the overlying water column to natural changes in reefal carbonate chemistry. We compared macroalgal intracellular DMSP and water column DMSP+DMS concentrations between the environmentally stable reef crest and environmentally variable reef flat of the fringing Suleman Reef, Egypt, over 45-hour sampling periods. Similar diel patterns were observed throughout: maximum intracellular DMSP and water column DMS/P concentrations were observed at night, coinciding with the time of lowest carbonate saturation state. Spatially, water column DMS/P concentrations were highest over areas dominated by seagrass and macroalgae (dissolved DMS/P) and phytoplankton (particulate DMS/P) rather than corals. This research suggests that macroalgae may use DMSP to maintain metabolic function during periods of low carbonate saturation state. In the reef system, seagrass and macroalgae may be more important benthic producers of dissolved DMS/P than corals. An increase in DMS/P concentrations during periods of low carbonate saturation state may become ecologically important in the future under an OA regime, impacting larval settlement and increasing atmospheric emissions of DMS. PMID:23724073

The essential medicines list for a global patient population.

PubMed

Robertson, J; Hill, S R

2007-11-01

Thirty years after its inception, the role, audience, and contents of the global Essential Medicines List (EML) are reviewed. Challenges for decision makers in applying the principles of medicine selection based on efficacy, safety, burden of disease, and cost effectiveness are discussed and illustrated with recent decisions of the Expert Committee. Areas of controversy for decision makers are highlighted, and the advocacy role of the EML for both drug procurement and development of quality-assured products is described.

The Role of Information and Research in Educational Decision-Making: Some Questions. Le Role De L'Information Et De La Recherche Dans La Prise De Decisions En Matiere D'Education: Quelques Questions.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Paris (France).

This paper, one of a series of Unesco technical information reports, looks at the educational decision makers in developing nations and examines their access to and use of information and research results. Written in English and in French, the paper consists of five parts. Part one discusses problems encountered by educational policy-makers and…

Finding common ground to achieve a "good death": family physicians working with substitute decision-makers of dying patients. A qualitative grounded theory study.

PubMed

Tan, Amy; Manca, Donna

2013-01-22

Substitute decision-makers are integral to the care of dying patients and make many healthcare decisions for patients. Unfortunately, conflict between physicians and surrogate decision-makers is not uncommon in end-of-life care and this could contribute to a "bad death" experience for the patient and family. We aim to describe Canadian family physicians' experiences of conflict with substitute decision-makers of dying patients to identify factors that may facilitate or hinder the end-of-life decision-making process. This insight will help determine how to best manage these complex situations, ultimately improving the overall care of dying patients. Grounded Theory methodology was used with semi-structured interviews of family physicians in Edmonton, Canada, who experienced conflict with substitute decision-makers of dying patients. Purposeful sampling included maximum variation and theoretical sampling strategies. Interviews were audio-taped, and transcribed verbatim. Transcripts, field notes and memos were coded using the constant-comparative method to identify key concepts until saturation was achieved and a theoretical framework emerged. Eleven family physicians with a range of 3 to 40 years in clinical practice participated.The family physicians expressed a desire to achieve a "good death" and described their role in positively influencing the experience of death.Finding Common Ground to Achieve a "Good Death" for the Patient emerged as an important process which includes 1) Building Mutual Trust and Rapport through identifying key players and delivering manageable amounts of information, 2) Understanding One Another through active listening and ultimately, and 3) Making Informed, Shared Decisions. Facilitators and barriers to achieving Common Ground were identified. Barriers were linked to conflict. The inability to resolve an overt conflict may lead to an impasse at any point. A process for Resolving an Impasse is described. A novel framework for developing Common Ground to manage conflicts during end-of-life decision-making discussions may assist in achieving a "good death". These results could aid in educating physicians, learners, and the public on how to achieve productive collaborative relationships during end-of-life decision-making for dying patients, and ultimately improve their deaths.

Exploring travelers' behavior in response to dynamic message signs (DMS) using a driving simulator : [research summary].

DOT National Transportation Integrated Search

2013-10-16

The Maryland State Highway Administration (SHA) uses dynamic message signs : (DMS) for traffic and incident management and for providing travel time information. : Previous research in Maryland has shown that a DMS can be an accurate, effective, and ...

A generalized model for the air-sea transfer of dimethyl sulfide at high wind speeds

NASA Astrophysics Data System (ADS)

Vlahos, Penny; Monahan, Edward C.

2009-11-01

The air-sea exchange of dimethyl sulfide (DMS) is an important component of ocean biogeochemistry and global climate models. Both laboratory experiments and field measurements of DMS transfer rates have shown that the air-sea flux of DMS is analogous to that of other significant greenhouse gases such as CO2 at low wind speeds (<10 m/s) but that these DMS transfer rates may diverge from other gases as wind speeds increase. Herein we provide a mechanism that predicts the attenuation of DMS transfer rates at high wind speeds. The model is based on the amphiphilic nature of DMS that leads to transfer delay at the water-bubble interface and becomes significant at wind speeds above >10 m/s. The result is an attenuation of the dimensionless Henry's Law constant (H) where (Heff = H/(1 + (Cmix/Cw) ΦB) by a solubility enhancement Cmix/Cw, and the fraction of bubble surface area per m2 surface ocean.

Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization, Implementation Strategy for a Distribution Management System

DOE Office of Scientific and Technical Information (OSTI.GOV)

Singh, Ravindra; Reilly, James T.; Wang, Jianhui

Electric distribution utilities encounter many challenges to successful deployment of Distribution Management Systems (DMSs). The key challenges are documented in this report, along with suggestions for overcoming them. This report offers a recommended list of activities for implementing a DMS. It takes a strategic approach to implementing DMS from a project management perspective. The project management strategy covers DMS planning, procurement, design, building, testing, Installation, commissioning, and system integration issues and solutions. It identifies the risks that are associated with implementation and suggests strategies for utilities to use to mitigate them or avoid them altogether. Attention is given to commonmore » barriers to successful DMS implementation. This report begins with an overview of the implementation strategy for a DMS and proceeds to put forward a basic approach for procuring hardware and software for a DMS; designing the interfaces with external corporate computing systems such as EMS, GIS, OMS, and AMI; and implementing a complete solution.« less

Application of Tandem Two-Dimensional Mass Spectrometry for Top-Down Deep Sequencing of Calmodulin

NASA Astrophysics Data System (ADS)

Floris, Federico; Chiron, Lionel; Lynch, Alice M.; Barrow, Mark P.; Delsuc, Marc-André; O'Connor, Peter B.

2018-06-01

Two-dimensional mass spectrometry (2DMS) involves simultaneous acquisition of the fragmentation patterns of all the analytes in a mixture by correlating their precursor and fragment ions by modulating precursor ions systematically through a fragmentation zone. Tandem two-dimensional mass spectrometry (MS/2DMS) unites the ultra-high accuracy of Fourier transform ion cyclotron resonance (FT-ICR) MS/MS and the simultaneous data-independent fragmentation of 2DMS to achieve extensive inter-residue fragmentation of entire proteins. 2DMS was recently developed for top-down proteomics (TDP), and applied to the analysis of calmodulin (CaM), reporting a cleavage coverage of about 23% using infrared multiphoton dissociation (IRMPD) as fragmentation technique. The goal of this work is to expand the utility of top-down protein analysis using MS/2DMS in order to extend the cleavage coverage in top-down proteomics further into the interior regions of the protein. In this case, using MS/2DMS, the cleavage coverage of CaM increased from 23% to 42%.

The New Class of Layered Iii-Vi Diluted Magnetic Semiconductors and Their Magnetic MEASUREMENTS*

NASA Astrophysics Data System (ADS)

Pekarek, T. M.; Maymi, C.; Watson, E.; Fuller, C. L.; Garner, J. L.; Crooker, B. C.; Miotkowski, I.; Ramdas, A. K.

2002-03-01

A new class of diluted magnetic semiconductors (DMS) based on III-VI semiconductor hosts has been studied. To date three III-VI DMS systems have been investigated (Ga1-xMnxS, Ga1-xMnxSe, and Ga1-xFexSe). Magnetization measurements on all three systems will be presented. Recent theoretical calculations (based on a Hamiltonian including crystal-field, spin-orbit, spin-spin, and Zeeman terms) have been made for Ga1-xMnxS showing excellent agreement with the experimental data. This establishes Ga1-xMnxS as the first III-VI DMS to be understood both experimentally and theoretically. This new class of III-VI DMS complements the more extensive work on II-VI DMS and III-V DMS. *Support: Research Corporation Cottrell College Science Awards CC4719, CC4845, and CC4668, FL Space Grant Consortium, NHMFL, Purdue Academic Reimbursement Grant, and NSF No. DMR-99-72196, DMR-99-75887, DMR-01-02699, and ECS-01-29853.

Neural basis of quasi-rational decision making.

PubMed

Lee, Daeyeol

2006-04-01

Standard economic theories conceive homo economicus as a rational decision maker capable of maximizing utility. In reality, however, people tend to approximate optimal decision-making strategies through a collection of heuristic routines. Some of these routines are driven by emotional processes, and others are adjusted iteratively through experience. In addition, routines specialized for social decision making, such as inference about the mental states of other decision makers, might share their origins and neural mechanisms with the ability to simulate or imagine outcomes expected from alternative actions that an individual can take. A recent surge of collaborations across economics, psychology and neuroscience has provided new insights into how such multiple elements of decision making interact in the brain.

Adopting Cut Scores: Post-Standard-Setting Panel Considerations for Decision Makers

ERIC Educational Resources Information Center

Geisinger, Kurt F.; McCormick, Carina M.

2010-01-01

Standard-setting studies utilizing procedures such as the Bookmark or Angoff methods are just one component of the complete standard-setting process. Decision makers ultimately must determine what they believe to be the most appropriate standard or cut score to use, employing the input of the standard-setting panelists as one piece of information…

Reciprocal Dialogue between Educational Decision Makers and Students of Color: Opportunities and Obstacles

ERIC Educational Resources Information Center

Bertrand, Melanie

2014-01-01

Purpose: This article explores the possibilities for reciprocal dialogue between educational decision makers and Students of Color. Such dialogue--defined as interactions in which participants build on each other's words--may provide the means to develop creative ways to address manifestations of systemic racism in education. The article uses…

Monitoring Values and Practices of Oak Woodland Decision Makers on the Urban Fringe

Treesearch

William Stewart

1991-01-01

Concern over oak woodlands has shifted away from ranch management towards residential areas. This shift has been accompanied by the involvement of decision makers who previously had little involvement with rangeland policies and practices. A survey of three recent Cooperative Extension workshops illustrates a number of important patterns regarding interest and...

Decision Maker Perception of Information Quality: A Case Study of Military Command and Control

ERIC Educational Resources Information Center

Morgan, Grayson B.

2013-01-01

Decision maker perception of information quality cues from an "information system" (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of "situation awareness" (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for…

Investigation of Education Databases in Four States To Support Policy Research on Resource Allocation. Policy Report

ERIC Educational Resources Information Center

Pan, Diane; Smith-Hansen, Lotte; Jones, Debra Hughes; Rudo, Zena H.; Alexander, Celeste; Kahlert, Rahel Kahlert, Rahel

2004-01-01

Information is one of the most important tools education decision makers need to help them effectively spend taxpayer money, allocate qualified staff, and determine the effectiveness of education investments. Decision makers must understand the role and influence of monetary and staff resources on the education system, and they must have…

Educational Marketing: A Business Approach to School-Community Relations.

ERIC Educational Resources Information Center

Holcomb, John H.

Public education suffers from a lack of public confidence. Strategies that public school decision-makers can use to turn around public opinion is the focus of this book. Decision-makers should use some of the marketing techniques learned from the private sector to "sell" the schools to the client system (the citizens being asked to support…

Assessment of Education for Sustainable Development in Universities in Costa Rica: Implications for Latin America and the Caribbean

ERIC Educational Resources Information Center

Garcia, Jairo H.

2010-01-01

Higher Education is a key factor for social change influencing future decision-makers in business, education, politics and science. As such, sustainable development requires creating awareness amongst these decision-makers of their responsibilities and opportunities in this area. Higher education for sustainable development is championed in…

Attention and attribute overlap in preferential choice.

PubMed

Bhatia, Sudeep

2017-07-01

Attributes that are common, or overlapping, across alternatives in two-alternative forced preferential choice tasks are often non-diagnostic. In many settings, attending to and evaluating these attributes does not help the decision maker determine which of the available alternatives is the most desirable. For this reason, many existing behavioural theories propose that decision makers ignore common attributes while deliberating. Across six experiments, we find that decision makers do direct their attention selectively and ignore attributes that are not present in or associated with either of the available alternatives. However, they are as likely to attend to common attributes as they are to attend to attributes that are unique to a single alternative. These results suggest the need for novel theories of attention in preferential choice.

Licensing Surrogate Decision-Makers.

PubMed

Rosoff, Philip M

2017-06-01

As medical technology continues to improve, more people will live longer lives with multiple chronic illnesses with increasing cumulative debilitation, including cognitive dysfunction. Combined with the aging of society in most developed countries, an ever-growing number of patients will require surrogate decision-makers. While advance care planning by patients still capable of expressing their preferences about medical interventions and end-of-life care can improve the quality and accuracy of surrogate decisions, this is often not the case, not infrequently leading to demands for ineffective, inappropriate and prolonged interventions. In 1980 LaFollette called for the licensing of prospective parents, basing his argument on the harm they can do to vulnerable people (children). In this paper, I apply his arguments to surrogate decision-makers for cognitively incapacitated patients, rhetorically suggesting that we require potential surrogates to qualify for this position by demonstrating their ability to make reasonable and rational decisions for others. I employ this theoretical approach to argue that the loose criteria by which we authorize surrogates' generally unchallenged power should be reconsidered.

Approach of Decision Making Based on the Analytic Hierarchy Process for Urban Landscape Management

NASA Astrophysics Data System (ADS)

Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan

2013-03-01

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Approach of decision making based on the analytic hierarchy process for urban landscape management.

PubMed

Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan

2013-03-01

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Prioritization of engineering support requests and advanced technology projects using decision support and industrial engineering models

NASA Technical Reports Server (NTRS)

Tavana, Madjid

1995-01-01

The evaluation and prioritization of Engineering Support Requests (ESR's) is a particularly difficult task at the Kennedy Space Center (KSC) -- Shuttle Project Engineering Office. This difficulty is due to the complexities inherent in the evaluation process and the lack of structured information. The evaluation process must consider a multitude of relevant pieces of information concerning Safety, Supportability, O&M Cost Savings, Process Enhancement, Reliability, and Implementation. Various analytical and normative models developed over the past have helped decision makers at KSC utilize large volumes of information in the evaluation of ESR's. The purpose of this project is to build on the existing methodologies and develop a multiple criteria decision support system that captures the decision maker's beliefs through a series of sequential, rational, and analytical processes. The model utilizes the Analytic Hierarchy Process (AHP), subjective probabilities, the entropy concept, and Maximize Agreement Heuristic (MAH) to enhance the decision maker's intuition in evaluating a set of ESR's.

Design for sustainability of industrial symbiosis based on emergy and multi-objective particle swarm optimization.

PubMed

Ren, Jingzheng; Liang, Hanwei; Dong, Liang; Sun, Lu; Gao, Zhiqiu

2016-08-15

Industrial symbiosis provides novel and practical pathway to the design for the sustainability. Decision support tool for its verification is necessary for practitioners and policy makers, while to date, quantitative research is limited. The objective of this work is to present an innovative approach for supporting decision-making in the design for the sustainability with the implementation of industrial symbiosis in chemical complex. Through incorporating the emergy theory, the model is formulated as a multi-objective approach that can optimize both the economic benefit and sustainable performance of the integrated industrial system. A set of emergy based evaluation index are designed. Multi-objective Particle Swarm Algorithm is proposed to solve the model, and the decision-makers are allowed to choose the suitable solutions form the Pareto solutions. An illustrative case has been studied by the proposed method, a few of compromises between high profitability and high sustainability can be obtained for the decision-makers/stakeholders to make decision. Copyright © 2016 Elsevier B.V. All rights reserved.

Increasing the scale and adoption of population health interventions: experiences and perspectives of policy makers, practitioners, and researchers

PubMed Central

2014-01-01

Background Decisions to scale up population health interventions from small projects to wider state or national implementation is fundamental to maximising population-wide health improvements. The objectives of this study were to examine: i) how decisions to scale up interventions are currently made in practice; ii) the role that evidence plays in informing decisions to scale up interventions; and iii) the role policy makers, practitioners, and researchers play in this process. Methods Interviews with an expert panel of senior Australian and international public health policy-makers (n = 7), practitioners (n = 7), and researchers (n = 7) were conducted in May 2013 with a participation rate of 84%. Results Scaling up decisions were generally made through iterative processes and led by policy makers and/or practitioners, but ultimately approved by political leaders and/or senior executives of funding agencies. Research evidence formed a component of the overall set of information used in decision-making, but its contribution was limited by the paucity of relevant intervention effectiveness research, and data on costs and cost effectiveness. Policy makers, practitioners/service managers, and researchers had different, but complementary roles to play in the process of scaling up interventions. Conclusions This analysis articulates the processes of how decisions to scale up interventions are made, the roles of evidence, and contribution of different professional groups. More intervention research that includes data on the effectiveness, reach, and costs of operating at scale and key service delivery issues (including acceptability and fit of interventions and delivery models) should be sought as this has the potential to substantially advance the relevance and ultimately usability of research evidence for scaling up population health action. PMID:24735455

Social Priorities as Data

NASA Astrophysics Data System (ADS)

Grubert, E.

2015-12-01

Decision makers' responses to local risks and expected changes to a community from circumstances like natural hazards, human developments, and demographic changes can greatly affect social and environmental outcomes in a community. Translating physical data based in disciplines like engineering and geosciences into positive outcomes for communities can be challenging and often results in conflict that appears to pit "science" against "the public." Scientists can be reluctant to offer recommendations for action based on their work, often (and often correctly) noting that their role is not to make value judgments for a community - particularly for a community that is not their own. Conversely, decision makers can be frustrated by the lack of guidance they receive to help translate data into effective and acceptable action. The solution posed by this submission, given the goal of co-production of knowledge by scientists and decision makers to foster better community outcomes, is to involve the community directly by integrating social scientific methods that address decision making and community engagement to the scientist-decision maker interaction. Specifically, the missing dataset in many scientist-decision maker interactions is the nature of community priorities. Using scientifically valid methods to rigorously collect and characterize community priorities to help recommend tradeoffs between different outcomes indicated by the work of physical and natural scientists can bridge the gap between science and action by involving the community in the process. This submission presents early work on US preferences for different types of social and environmental outcomes designed to integrate directly with engineering and physical science frameworks like Life Cycle Assessment and Environmental Impact Statements. Cardinal preference data are based on surveys of US adults using tools like the Analytical Hierarchy Process, budget allocation, and ranking.

Focusing biodiversity research on the needs of decision makers

NASA Astrophysics Data System (ADS)

Smythe, Katie D.; Bernabo, J. Christopher; Carter, Thomas B.; Jutro, Peter R.

1996-11-01

The project on Biodiversity Uncertainties and Research Needs (BURN) ensures the advancement of usable knowledge on biodiversity by obtaining input from decision makers on their priority information needs about biodiversity and then using this input to engage leading scientists in designing policy-relevant research. Decision makers articulated concerns related to four issues: significance of biodiversity; status and trends of biodiversity; management for biodiversity; and the linkage of social, cultural, economic, legal, and biological objectives. Leading natural and social scientists then identified the research required to address the decision makers' needs and determined the probability of success. The diverse group of experts reached consensus on several fundamental issues, helping to clarify the role of biodiversity in land and resource management. The BURN participants identified several features that should be incorporated into policy-relevant research plans and management strategies for biodiversity. Research and assessment efforts should be: multidisciplinary and integrative, participatory with stakeholder involvement, hierarchical (multiple scales), and problem- and region-specific. The activities should be focused regionally within a global perspective. Meta-analysis of existing data is needed on all fronts to assess the state of the science. More specifically, the scientists recommended six priority research areas that should be pursued to address the information needs articulated by decision makers: (1) characterization of biodiversity, (2) environmental valuation, (3) management for sustainability—for humans and the environment (adaptive management), (4) information management strategies, (5) governance and stewardship issues, and (6) communication and outreach. Broad recommendations were developed for each research area to provide direction for research planning and resource management strategies. The results will directly benefit those groups that require biodiversity research to address their needs—whether to develop policy, manage natural resources, or make other decisions affecting biodiversity.

Sustaining Clinical Programs During Difficult Economic Times: A Case Series from the Hospital Elder Life Program

PubMed Central

SteelFisher, Gillian K.; Martin, Lauren A.; Dowal, Sarah L.; Inouye, Sharon K.

2013-01-01

OBJECTIVES To explore strategies used by clinical programs to justify operations to decision-makers using the example of the Hospital Elder Life Program (HELP), an evidence-based, cost-effective program to improve care for hospitalized older adults. DESIGN Qualitative study design utilizing 62 in-depth, semi-structured interviews conducted with HELP staff members and hospital administrators between September 2008 and August 2009. SETTING 19 HELP sites in hospitals across the U.S. and Canada that had been recruiting patients for at least 6 months. PARTICIPANTS and MEASUREMENTS HELP staff and hospital administrator experiences sustaining the program in the face of actual or perceived financial threats, with a focus on factors they believe are effective in justifying the program to decision-makers in the hospital or health system. RESULTS Using the constant comparative method, a standard qualitative analysis technique, three major themes were identified across interviews. Each focuses on a strategy for successfully justifying the program and securing funds for continued operations: 1) interact meaningfully with decision-makers, including formal presentations that showcase operational successes, and also informal means that highlight the benefits of HELP to the hospital or health system; 2) document day-to-day, operational successes in metrics that resonate with decision-maker priorities; and 3) garner support from influential hospital staff that feed into administrative decision-making, particularly nurses and physicians. CONCLUSION As clinical programs face financially challenging times, it is important to find effective ways to justify their operations to decision-makers. Strategies described here may help clinically-effective and cost-effective programs sustain themselves, and thus may help improve care in their institutions. PMID:22091501

Drug delivery from hydrophobic-modified mesoporous silicas: Control via modification level and site-selective modification

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tang Qunli, E-mail: tangqunli@hnu.c; State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001; Chen Yuxi

2010-01-15

Dimethylsilyl (DMS) modified mesoporous silicas were successfully prepared via co-condensation and post-grafting modification methods. The post-grafting modification was carried out by the reaction of the as-synthesized MCM-41 material (before CTAB removal) with diethoxydimethylsinale (DEDMS). N{sub 2} adsorption-desorption and {sup 29}Si MAS NMR characterization demonstrated that different amount of DMS groups were successfully incorporated into the co-condensation modified samples, and the functional DMS groups were placed selectively on the pore openings and external pore surfaces in the post-grafting modified samples. Subsequently, the controlled drug delivery properties from the resulting DMS-modified mesoporous silicas were investigated in detail. The drug adsorption experiments showedmore » that the adsorption capacities were mainly depended on the content of silanol group (CSG) in the corresponding carriers. The in vitro tests exhibited that the incorporation of DMS groups greatly retarded the ibuprofen release rate. Moreover, the ibuprofen release profiles could be well modulated by varying DMS modification levels and site-selective distribution of functional groups in mesoporous carriers. - The distribution of DMS groups on the pore surfaces of the mesostructures strongly affects the drug release rate. The P-M41-1 and the P-M41-2 possess the close DMS modification levels as the C-M41-10, but the ibuprofen release rates from the P-M41-1 and P-M41-2 are much slower than that from the C-M41-10.« less

Decision makers' experiences of prioritisation and views about how to finance healthcare costs.

PubMed

Werntoft, Elisabet; Edberg, Anna-Karin

2009-10-01

Prioritisation in healthcare is an issue of growing importance due to scarcity of resources. The aims of this study were firstly to describe decision makers' experience of prioritisation and their views concerning willingness to pay and how to finance healthcare costs. An additional aim was to compare the views of politicians and physicians. The study was a cross-sectional study based on a questionnaire administered to 700 Swedish politicians and physicians. This was analysed using both quantitative and qualitative methods. A majority of the decision makers (55%) suggested that increasing costs should be financed through higher taxation but more physicians than politicians thought that higher patient fees, private health insurance and a reduction in social expenditure were better alternatives. Prioritisation aroused anxiety; politicians were afraid of displeasing voters while physicians were afraid of making medically incorrect decisions. This study do not answer the question about how to make prioritisation in health care but the result highlights the different ways that the decision makers view the subject and thereby elicit that publicly elected politicians and physicians perhaps not always work with the same goal ahead. There are needs for more research but also more media focus on the subject so the citizens will be aware and take part in the debate.

An analytical framework to assist decision makers in the use of forest ecosystem model predictions

USGS Publications Warehouse

Larocque, Guy R.; Bhatti, Jagtar S.; Ascough, J.C.; Liu, J.; Luckai, N.; Mailly, D.; Archambault, L.; Gordon, Andrew M.

2011-01-01

The predictions from most forest ecosystem models originate from deterministic simulations. However, few evaluation exercises for model outputs are performed by either model developers or users. This issue has important consequences for decision makers using these models to develop natural resource management policies, as they cannot evaluate the extent to which predictions stemming from the simulation of alternative management scenarios may result in significant environmental or economic differences. Various numerical methods, such as sensitivity/uncertainty analyses, or bootstrap methods, may be used to evaluate models and the errors associated with their outputs. However, the application of each of these methods carries unique challenges which decision makers do not necessarily understand; guidance is required when interpreting the output generated from each model. This paper proposes a decision flow chart in the form of an analytical framework to help decision makers apply, in an orderly fashion, different steps involved in examining the model outputs. The analytical framework is discussed with regard to the definition of problems and objectives and includes the following topics: model selection, identification of alternatives, modelling tasks and selecting alternatives for developing policy or implementing management scenarios. Its application is illustrated using an on-going exercise in developing silvicultural guidelines for a forest management enterprise in Ontario, Canada.

Development of a support tool for complex decision-making in the provision of rural maternity care.

PubMed

Hearns, Glen; Klein, Michael C; Trousdale, William; Ulrich, Catherine; Butcher, David; Miewald, Christiana; Lindstrom, Ronald; Eftekhary, Sahba; Rosinski, Jessica; Gómez-Ramírez, Oralia; Procyk, Andrea

2010-02-01

Decisions in the organization of safe and effective rural maternity care are complex, difficult, value laden and fraught with uncertainty, and must often be based on imperfect information. Decision analysis offers tools for addressing these complexities in order to help decision-makers determine the best use of resources and to appreciate the downstream effects of their decisions. To develop a maternity care decision-making tool for the British Columbia Northern Health Authority (NH) for use in low birth volume settings. Based on interviews with community members, providers, recipients and decision-makers, and employing a formal decision analysis approach, we sought to clarify the influences affecting rural maternity care and develop a process to generate a set of value-focused objectives for use in designing and evaluating rural maternity care alternatives. Four low-volume communities with variable resources (with and without on-site births, with or without caesarean section capability) were chosen. Physicians (20), nurses (18), midwives and maternity support service providers (4), local business leaders, economic development officials and elected officials (12), First Nations (women [pregnant and non-pregnant], chiefs and band members) (40), social workers (3), pregnant women (2) and NH decision-makers/administrators (17). We developed a Decision Support Manual to assist with assessing community needs and values, context for decision-making, capacity of the health authority or healthcare providers, identification of key objectives for decision-making, developing alternatives for care, and a process for making trade-offs and balancing multiple objectives. The manual was deemed an effective tool for the purpose by the client, NH. Beyond assisting the decision-making process itself, the methodology provides a transparent communication tool to assist in making difficult decisions. While the manual was specifically intended to deal with rural maternity issues, the NH decision-makers feel the method can be easily adapted to assist decision-making in other contexts in medicine where there are conflicting objectives, values and opinions. Decisions on the location of new facilities or infrastructure, or enhancing or altering services such as surgical or palliative care, would be examples of complex decisions that might benefit from this methodology.

Development of a Support Tool for Complex Decision-Making in the Provision of Rural Maternity Care

PubMed Central

Hearns, Glen; Klein, Michael C.; Trousdale, William; Ulrich, Catherine; Butcher, David; Miewald, Christiana; Lindstrom, Ronald; Eftekhary, Sahba; Rosinski, Jessica; Gómez-Ramírez, Oralia; Procyk, Andrea

2010-01-01

Context: Decisions in the organization of safe and effective rural maternity care are complex, difficult, value laden and fraught with uncertainty, and must often be based on imperfect information. Decision analysis offers tools for addressing these complexities in order to help decision-makers determine the best use of resources and to appreciate the downstream effects of their decisions. Objective: To develop a maternity care decision-making tool for the British Columbia Northern Health Authority (NH) for use in low birth volume settings. Design: Based on interviews with community members, providers, recipients and decision-makers, and employing a formal decision analysis approach, we sought to clarify the influences affecting rural maternity care and develop a process to generate a set of value-focused objectives for use in designing and evaluating rural maternity care alternatives. Setting: Four low-volume communities with variable resources (with and without on-site births, with or without caesarean section capability) were chosen. Participants: Physicians (20), nurses (18), midwives and maternity support service providers (4), local business leaders, economic development officials and elected officials (12), First Nations (women [pregnant and non-pregnant], chiefs and band members) (40), social workers (3), pregnant women (2) and NH decision-makers/administrators (17). Results: We developed a Decision Support Manual to assist with assessing community needs and values, context for decision-making, capacity of the health authority or healthcare providers, identification of key objectives for decision-making, developing alternatives for care, and a process for making trade-offs and balancing multiple objectives. The manual was deemed an effective tool for the purpose by the client, NH. Conclusions: Beyond assisting the decision-making process itself, the methodology provides a transparent communication tool to assist in making difficult decisions. While the manual was specifically intended to deal with rural maternity issues, the NH decision-makers feel the method can be easily adapted to assist decision-making in other contexts in medicine where there are conflicting objectives, values and opinions. Decisions on the location of new facilities or infrastructure, or enhancing or altering services such as surgical or palliative care, would be examples of complex decisions that might benefit from this methodology. PMID:21286270

Health technology assessment in Saudi Arabia.

PubMed

Al-Aqeel, Sinaa

2018-05-16

The Saudi government, similar to any other government, is committed to making public spending more efficient, using resources more effectively, and limiting waste. Health technology assessment (HTA) is a tool that informs policy and decision makers regarding the formulation of safe and effective policies that are patient-focused and help to achieve efficiency when allocating limited health-care resources. Areas covered: After a brief description of HTA in the international context, this review provides a brief introduction to Saudi Arabia's health-care system, followed by a delineation of the decision maker(s) and influencers and the decision-making process for pricing and reimbursement. The article then discusses the current status of HTA in Saudi Arabia and proposes four strategic objectives that can form the first step in the development of a formal HTA process. Expert commentary: In Saudi Arabia, facilitators for incorporating HTA into the decision-making process exist. Future local research is needed to guide the implementation of full HTA.

A multiattribute index for assessing environmental impacts of regional development projects: a case study of Korea.

PubMed

Kwak, Seung-Jun; Yoo, Seung-Hoon; Shin, Chol-Oh

2002-02-01

Evaluating environmental impacts has become an increasingly vital part of environmental management. In the present study, a methodological procedure based on multiattribute utility theory (MAUT) has been applied to obtain a decision-maker's value index on assessment of the environmental impacts. The paper begins with an overview of MAUT. Next, we elicited strategic objectives and several important attributes, and then structured them into a hierarchy, with the aim of structuring and quantifying the basic values for the assessment. An environmental multiattribute index is constructed as a multiattribute utility function, based on value judgements provided by a decision-maker at the Korean Ministry of Environment (MOE). The implications of the results are useful for many aspects of MOE's environmental policies; identifying the strategic objectives and basic values; facilitating communication about the organization's priorities; and recognizing decision opportunities that face decision-makers of Korea.

The optimal retailer's ordering policies with trade credit financing and limited storage capacity in the supply chain system

NASA Astrophysics Data System (ADS)

Yen, Ghi-Feng; Chung, Kun-Jen; Chen, Tzung-Ching

2012-11-01

The traditional economic order quantity model assumes that the retailer's storage capacity is unlimited. However, as we all know, the capacity of any warehouse is limited. In practice, there usually exist various factors that induce the decision-maker of the inventory system to order more items than can be held in his/her own warehouse. Therefore, for the decision-maker, it is very practical to determine whether or not to rent other warehouses. In this article, we try to incorporate two levels of trade credit and two separate warehouses (own warehouse and rented warehouse) to establish a new inventory model to help the decision-maker to make the decision. Four theorems are provided to determine the optimal cycle time to generalise some existing articles. Finally, the sensitivity analysis is executed to investigate the effects of the various parameters on ordering policies and annual costs of the inventory system.

Answer or Publish - Energizing Online Democracy

NASA Astrophysics Data System (ADS)

Antal, Miklós; Mikecz, Dániel

Enhanced communication between citizens and decision makers furthering participation in public decision making is essential to ease today's democratic deficit. However, it is difficult to sort out the most important public inputs from a large number of comments and questions. We propose an online solution to the selection problem by utilizing the general publicity of the internet. In the envisioned practice, decision makers are obliged either to answer citizens' questions or initiatives or to publish the letter received on a publicly accessible web page. The list of unaddressed questions would mean a motivation to consider public inputs without putting unnecessary burdens on decision makers - due to the reliance on the public, their workload would converge to the societal optimum. The proposed method is analyzed in the course of the existing Hungarian e-practices. The idea is found valuable as a restriction for representatives and a relief for some other officials.

Health services research: building capacity to meet the needs of the health care system

PubMed Central

Barratt, Helen; Shaw, Jay; Simpson, Lisa; Bhatia, Sacha; Fulop, Naomi

2017-01-01

Health services researchers have an important role to play in helping health care systems around the world provide high quality, affordable services. However, gaps between the best evidence and current practice suggest that researchers need to work in new ways. The production of research that meets the needs and priorities of the health system requires researchers to work in partnership with decision-makers to conduct research and then mobilize the findings. To do this effectively, researchers require a new set of skills that are not conventionally taught as part of doctoral research programmes. In addition to wider contextual changes, researchers need to understand better the needs of decision-makers, for example through short placements in health system decision-making settings. Second, researchers need to learn to accommodate those needs throughout the research process, including identifying research needs; conducting research collaboratively with decision-makers and producing effective research products. PMID:28786700

Scientific second-order 'nudging' or lobbying by interest groups: the battle over abdominal aortic aneurysm screening programmes.

PubMed

Ploug, Thomas; Holm, Søren; Brodersen, John

2014-11-01

The idea that it is acceptable to 'nudge' people to opt for the 'healthy choice' is gaining currency in health care policy circles. This article investigates whether researchers evaluating Abdominal Aortic Aneurysm Screening Programmes (AAASP) attempt to influence decision makers in ways that are similar to popular 'nudging' techniques. Comparing two papers on the health economics of AAASP both published in the BMJ within the last 3 years, it is shown that the values chosen for the health economics modelling are not representative of the literature and consistently favour the conclusions of the articles. It is argued (1) that this and other features of these articles may be justified within a Libertarian Paternalist framework as 'nudging' like ways of influencing decision makers, but also (2) that these ways of influencing decision makers raise significant ethical issues in the context of democratic decision making.

Foundations for context-aware information retrieval for proactive decision support

NASA Astrophysics Data System (ADS)

Mittu, Ranjeev; Lin, Jessica; Li, Qingzhe; Gao, Yifeng; Rangwala, Huzefa; Shargo, Peter; Robinson, Joshua; Rose, Carolyn; Tunison, Paul; Turek, Matt; Thomas, Stephen; Hanselman, Phil

2016-05-01

Intelligence analysts and military decision makers are faced with an onslaught of information. From the now ubiquitous presence of intelligence, surveillance, and reconnaissance (ISR) platforms providing large volumes of sensor data, to vast amounts of open source data in the form of news reports, blog postings, or social media postings, the amount of information available to a modern decision maker is staggering. Whether tasked with leading a military campaign or providing support for a humanitarian mission, being able to make sense of all the information available is a challenge. Due to the volume and velocity of this data, automated tools are required to help support reasoned, human decisions. In this paper we describe several automated techniques that are targeted at supporting decision making. Our approaches include modeling the kinematics of moving targets as motifs; developing normalcy models and detecting anomalies in kinematic data; automatically classifying the roles of users in social media; and modeling geo-spatial regions based on the behavior that takes place in them. These techniques cover a wide-range of potential decision maker needs.

Role of Anterior Intralaminar Nuclei of Thalamus Projections to Dorsomedial Striatum in Incubation of Methamphetamine Craving.

PubMed

Li, Xuan; Witonsky, Kailyn R; Lofaro, Olivia M; Surjono, Felicia; Zhang, Jianjun; Bossert, Jennifer M; Shaham, Yavin

2018-02-28

Relapse to methamphetamine (Meth) seeking progressively increases after withdrawal from drug self-administration (incubation of Meth craving). We previously demonstrated a role of dorsomedial striatum (DMS) dopamine D1 receptors (D1Rs) in this incubation. Here, we studied the role of afferent glutamatergic projections into the DMS and local D1R-glutamate interaction in this incubation in male rats. We first measured projection-specific activation on day 30 relapse test by using cholera toxin b (retrograde tracer) + Fos (activity marker) double-labeling in projection areas. Next, we determined the effect of pharmacological reversible inactivation of lateral or medial anterior intralaminar nuclei of thalamus (AIT-L or AIT-M) on incubated Meth seeking on withdrawal day 30. We then used an anatomical asymmetrical disconnection procedure to determine whether an interaction between AIT-L→DMS glutamatergic projections and postsynaptic DMS D1Rs contributes to incubated Meth seeking. We also determined the effect of unilateral inactivation of AIT-L and D1R blockade of DMS on incubated Meth seeking, and the effect of contralateral disconnection of AIT-L→DMS projections on nonincubated Meth seeking on withdrawal day 1. Incubated Meth seeking was associated with selective activation of AIT→DMS projections; other glutamatergic projections to DMS were not activated. AIT-L (but not AIT-M) inactivation or anatomical disconnection of AIT-L→DMS projections decreased incubated Meth seeking. Unilateral inactivation of AIT-L or D1R blockade of the DMS had no effect on incubated Meth craving, and contralateral disconnection of AIT-L→DMS projections had no effect on nonincubated Meth seeking. Our results identify a novel role of AIT-L and AIT-L→DMS glutamatergic projections in incubation of drug craving and drug seeking. SIGNIFICANCE STATEMENT Methamphetamine seeking progressively increases after withdrawal from drug self-administration, a phenomenon termed incubation of methamphetamine craving. We previously found that D1R-mediated dopamine transmission in the dorsomedial striatum plays a critical role in this incubation phenomenon. Here, we used neuroanatomical and neuropharmacological methods in rats to demonstrate that an interaction between the glutamatergic projection from the lateral anterior intralaminar nuclei of the thalamus to the dorsomedial striatum and local dopamine D1 receptors plays a critical role in relapse to methamphetamine seeking after prolonged withdrawal. Our study identified a novel motivation-related thalamostriatal projection critical to relapse to drug seeking. Copyright © 2018 the authors 0270-6474/18/382270-13$15.00/0.

Human-computer interface for the study of information fusion concepts in situation analysis and command decision support systems

NASA Astrophysics Data System (ADS)

Roy, Jean; Breton, Richard; Paradis, Stephane

2001-08-01

Situation Awareness (SAW) is essential for commanders to conduct decision-making (DM) activities. Situation Analysis (SA) is defined as a process, the examination of a situation, its elements, and their relations, to provide and maintain a product, i.e., a state of SAW for the decision maker. Operational trends in warfare put the situation analysis process under pressure. This emphasizes the need for a real-time computer-based Situation analysis Support System (SASS) to aid commanders in achieving the appropriate situation awareness, thereby supporting their response to actual or anticipated threats. Data fusion is clearly a key enabler for SA and a SASS. Since data fusion is used for SA in support of dynamic human decision-making, the exploration of the SA concepts and the design of data fusion techniques must take into account human factor aspects in order to ensure a cognitive fit of the fusion system with the decision-maker. Indeed, the tight human factor aspects in order to ensure a cognitive fit of the fusion system with the decision-maker. Indeed, the tight integration of the human element with the SA technology is essential. Regarding these issues, this paper provides a description of CODSI (Command Decision Support Interface), and operational- like human machine interface prototype for investigations in computer-based SA and command decision support. With CODSI, one objective was to apply recent developments in SA theory and information display technology to the problem of enhancing SAW quality. It thus provides a capability to adequately convey tactical information to command decision makers. It also supports the study of human-computer interactions for SA, and methodologies for SAW measurement.

Computational Complexity and Human Decision-Making.

PubMed

Bossaerts, Peter; Murawski, Carsten

2017-12-01

The rationality principle postulates that decision-makers always choose the best action available to them. It underlies most modern theories of decision-making. The principle does not take into account the difficulty of finding the best option. Here, we propose that computational complexity theory (CCT) provides a framework for defining and quantifying the difficulty of decisions. We review evidence showing that human decision-making is affected by computational complexity. Building on this evidence, we argue that most models of decision-making, and metacognition, are intractable from a computational perspective. To be plausible, future theories of decision-making will need to take into account both the resources required for implementing the computations implied by the theory, and the resource constraints imposed on the decision-maker by biology. Copyright © 2017 Elsevier Ltd. All rights reserved.

Anchor effects in decision making can be reduced by the interaction between goal monitoring and the level of the decision maker's executive functions.

PubMed

Schiebener, Johannes; Wegmann, Elisa; Pawlikowski, Mirko; Brand, Matthias

2012-11-01

Models of decision making postulate that interactions between contextual conditions and characteristics of the decision maker determine decision-making performance. We tested this assumption by using a possible positive contextual influence (goals) and a possible negative contextual influence (anchor) in a risky decision-making task (Game of Dice Task, GDT). In this task, making advantageous choices is well known to be closely related to a specific decision maker variable: the individual level of executive functions. One hundred subjects played the GDT in one of four conditions: with self-set goal for final balance (n = 25), with presentation of an anchor (a fictitious Top 10 list, showing high gains of other participants; n = 25), with anchor and goal definition (n = 25), and with neither anchor nor goal setting (n = 25). Subjects in the conditions with anchor made more risky decisions irrespective of the negative feedback, but this anchor effect was influenced by goal monitoring and moderated by the level of the subjects' executive functions. The findings imply that impacts of situational influences on decision making as they frequently occur in real life depend upon the individual's cognitive abilities. Anchor effects can be overcome by subjects with good cognitive abilities.

Relational autonomy: moving beyond the limits of isolated individualism.

PubMed

Walter, Jennifer K; Ross, Lainie Friedman

2014-02-01

Although clinicians may value respecting a patient's or surrogate's autonomy in decision-making, it is not always clear how to proceed in clinical practice. The confusion results, in part, from which conception of autonomy is used to guide ethical practice. Reliance on an individualistic conception such as the "in-control agent" model prioritizes self-sufficiency in decision-making and highlights a decision-maker's capacity to have reason transcend one's emotional experience. An alternative model of autonomy, relational autonomy, highlights the social context within which all individuals exist and acknowledges the emotional and embodied aspects of decision-makers. These 2 conceptions of autonomy lead to different interpretations of several aspects of ethical decision-making. The in-control agent model believes patients or surrogates should avoid both the influence of others and emotional persuasion in decision-making. As a result, providers have a limited role to play and are expected to provide medical expertise but not interfere with the individual's decision-making process. In contrast, a relational autonomy approach acknowledges the central role of others in decision-making, including clinicians, who have a responsibility to engage patients' and surrogates' emotional experiences and offer clear guidance when patients are confronting serious illness. In the pediatric setting, in which decision-making is complicated by having a surrogate decision-maker in addition to a patient, these conceptions of autonomy also may influence expectations about the role that adolescents can play in decision-making.

DECISION-MAKING ALIGNED WITH RAPID-CYCLE EVALUATION IN HEALTH CARE.

PubMed

Schneeweiss, Sebastian; Shrank, William H; Ruhl, Michael; Maclure, Malcolm

2015-01-01

Availability of real-time electronic healthcare data provides new opportunities for rapid-cycle evaluation (RCE) of health technologies, including healthcare delivery and payment programs. We aim to align decision-making processes with stages of RCE to optimize the usefulness and impact of rapid results. Rational decisions about program adoption depend on program effect size in relation to externalities, including implementation cost, sustainability, and likelihood of broad adoption. Drawing on case studies and experience from drug safety monitoring, we examine how decision makers have used scientific evidence on complex interventions in the past. We clarify how RCE alters the nature of policy decisions; develop the RAPID framework for synchronizing decision-maker activities with stages of RCE; and provide guidelines on evidence thresholds for incremental decision-making. In contrast to traditional evaluations, RCE provides early evidence on effectiveness and facilitates a stepped approach to decision making in expectation of future regularly updated evidence. RCE allows for identification of trends in adjusted effect size. It supports adapting a program in midstream in response to interim findings, or adapting the evaluation strategy to identify true improvements earlier. The 5-step RAPID approach that utilizes the cumulating evidence of program effectiveness over time could increase policy-makers' confidence in expediting decisions. RCE enables a step-wise approach to HTA decision-making, based on gradually emerging evidence, reducing delays in decision-making processes after traditional one-time evaluations.

The Insertion of Human Factors Concerns into NextGen Programmatic Decisions

NASA Technical Reports Server (NTRS)

Beard, Bettina L.; Holbrook, Jon Brian; Seely, Rachel

2013-01-01

Since the costs of proposed improvements in air traffic management exceed available funding, FAA decision makers must select and prioritize what actually gets implemented. We discuss a set of methods to help forecast operational and human performance issues and benefits before new automation is introduced. This strategy could minimize the impact of politics, assist decision makers in selecting and prioritizing potential improvements, make the process more transparent and strengthen the link between the engineering and human factors domains.

Comprehension of Discourse Markers and Reading Comprehension

ERIC Educational Resources Information Center

Khatib, Mohamad

2011-01-01

According to many research findings, the presence of discourse markers (DMs) enhances readers' comprehension of the texts they read. However, there is a paucity of research on the relationship between knowledge of DMs and reading comprehension (RC) and the present study explores the relationship between them. Knowledge of DMs is measured through…

Exploration of oxide-based diluted magnetic semiconductors toward transparent spintronics

NASA Astrophysics Data System (ADS)

Fukumura, T.; Yamada, Y.; Toyosaki, H.; Hasegawa, T.; Koinuma, H.; Kawasaki, M.

2004-02-01

A review is given for the recent progress of research in the field of oxide-based diluted magnetic semiconductor (DMS), which was triggered by combinatorial discovery of transparent ferromagnet. The possible advantages of oxide semiconductor as a host of DMS are described in comparison with conventional compound semiconductors. Limits and problems for identifying novel ferromagnetic DMS are described in view of recent reports in this field. Several characterization techniques are proposed in order to eliminate unidentified ferromagnetism of oxide-based DMS unidentified ferromagnetic oxide (UFO). Perspectives and possible devices are also given.

Effect of cement dosage and early curing towards Kuala Perlis dredged marine sediments: a ɛv - σv and SEM-EDX approach

NASA Astrophysics Data System (ADS)

Syakeera Nordin, Nurul; Chan, Chee-Ming

2017-11-01

Cement is the primary material used in solidifying the soft soils. This material was applied in solidifying Kuala Perlis dredged marine sediments (DMS). These unwanted sediments are classified as high plasticity silt, MH with 3.36 LL of wc/LL value. At dosage 10 and 20 % of cemented-DMS and 3 days curing time, compression curve results shows the settlement criteria were enhanced than the natural DMS. Unfortunately, the settlement criteria are not complies with the permissible settlement limit and applicable pressure. The formation of cementing compounds appears in the SEM micrograph for 10 and 20 % of cemented-DMS. EDX analysis shows the Ca:Si ratio were increased for cemented-DMS due to the formation of C-S-H gel.

Penguins are attracted to dimethyl sulphide at sea.

PubMed

Wright, Kyran L B; Pichegru, Lorien; Ryan, Peter G

2011-08-01

Breeding Spheniscus penguins are central place foragers that feed primarily on schooling pelagic fish. They are visual hunters, but it is unclear how they locate prey patches on a coarse scale. Many petrels and storm petrels (Procellariiformes), the penguins' closest relatives, use olfactory cues to locate prey concentrations at sea, but this has not been demonstrated for penguins. Procellariiforms are attracted to a variety of olfactory cues, including dimethyl sulphide (DMS), an organosulphur compound released when phytoplankton is grazed, as well as fish odorants such as cod liver oil. A recent study found that African penguins Spheniscus demersus react to DMS on land. We confirm this result and show that African penguins are also attracted by DMS at sea. DMS-scented oil slicks attracted 2-3 times more penguins than control slicks, whereas penguins showed no response to slicks containing cod liver oil. The number of penguins attracted to DMS increased for at least 30 min, suggesting penguins could travel up to 2 km to reach scent cues. Repeats of land-based trials confirmed previous results showing DMS sensitivity of penguins on land. Our results also support the hypothesis that African penguins use DMS as an olfactory cue to locate prey patches at sea from a distance, which is particularly important given their slow commuting speed relative to that of flying seabirds.

Cycling of DMSP and DMS in Surface Ocean Waters: The Impact of Microzooplankton Grazing and Metabolism

NASA Technical Reports Server (NTRS)

Sherr, Evelyn; Sherr, Barry; Wolfe, Gordon; Kiene, Ronald

1997-01-01

We have explored and identified several novel aspects of dimetylsulfoniopropionate (DMSP) metabolism and dimetylsulfide (DMS) production by microbial food web processes. Processes studied include: microzooplankton herbivory, uptake and retention of dissolved (DMSP) by marine bacteria, coupled with microzooplankton bacterivory, and generation of (DMS) as a byproduct of chemical grazing deterrence by Emiliania huxleyi. Our results illustrate the complexities of DMSP cycling and DMS production, and support the idea that the flux of DMS to the atmosphere is the result of many coupled trophic interactions which are not currently predictable by simple models or observations tied to a few bulk parameters. Although it is highly desirable to measure trophic interactions by remote sensing techniques, satellite methods cannot currently yield information on bacterial or microzooplankton abundances, activities, and processes. We have identified specific processes which must be included in future efforts, but we do not know yet how widespread or important these will be in many natural waters. We believe further work will enable us to simplify our model of DMS production by eliminating second order processes, and help refine our insight into the primary biological and chemical sources of atmospheric DMS. This is fundamental work which should be supported as basic research.

E-mail as the Appropriate Method of Communication for the Decision-Maker When Soliciting Advice for an Intellective Decision Task.

PubMed

Prahl, Andrew; Dexter, Franklin; Swol, Lyn Van; Braun, Michael T; Epstein, Richard H

2015-09-01

For many problems in operating room and anesthesia group management, there are tasks with optimal decisions, and yet experienced personnel tend to make decisions that are worse or no better than random chance. Such decisions include staff scheduling, case scheduling, moving cases among operating rooms, and choosing patient arrival times. In such settings, operating room management leadership decision-making should typically be autocratic rather than participative. Autocratic-style decision-making calls for managers to solicit and consider feedback from stakeholders in the decision outcome but to make the decision themselves using their expert knowledge and the facts received. For this to be effective, often the manager will obtain expert advice from outside the organization (e.g., health system). In this narrative review, we evaluate the advantages and disadvantages of using prompt asynchronous written communication (i.e., e-mail) as a communication channel for such interaction between a decision-maker (manager) and advisor. A detailed Appendix (Supplemental Digital Content, http://links.lww.com/AA/B72) lists each observational and experimental result. We find that the current ubiquitous role of e-mail for such communication is appropriate. Its benefits include improved time management via asynchronicity, low cognitive load (e.g., relative to Web conferencing), the ability to hide undesirable and irrelevant cues (e.g., physical appearance), the appropriateness of adding desirable cues (e.g., titles and degrees), the opportunity to provide written expression of confidence, and the ability for the advisor to demonstrate the answer for the decision-maker. Given that the manager is e-mailing an advisor whose competence the manager trusts, it is unnecessary to use a richer communication channel to develop trust. Finally, many of the limitations of e-mail can be rectified through training. We expect that decades from now, e-mail (i.e., asynchronous writing) between an expert and decision-maker will remain the dominant means of communication for intellective tasks.

Taking risks and taking advice: The role of experience in airline pilot diversions

NASA Technical Reports Server (NTRS)

Cohen, Marvin S.

1993-01-01

The research asks how pilots make diversion decisions, what factors determine whether they are make well or poorly, and how they may be improved. The results support the view that experienced decision makers may solve problems in a way that is qualitatively different from the approaches of less experienced decision makers. The results also support a concept of expertise that goes beyond a stock of specialized recognitional templates, to include domain-specific methods for processing information. Such metacognitive skills evolve through long experience. They may enhance both the accuracy and the efficiency of decision processes.

Providing Climate Policy Makers With a Strong Scientific Base (Invited)

NASA Astrophysics Data System (ADS)

Struzik, E.

2009-12-01

Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.

Youth advocacy as a tool for environmental and policy changes that support physical activity and nutrition: an evaluation study in San Diego County.

PubMed

Linton, Leslie S; Edwards, Christine C; Woodruff, Susan I; Millstein, Rachel A; Moder, Cheryl

2014-03-27

As evidence grows about the benefits of policy and environmental changes to support active living and healthy eating, effective tools for implementing change must be developed. Youth advocacy, a successful strategy in the field of tobacco control, should be evaluated for its potential in the field of obesity prevention. San Diego State University collaborated with the San Diego County Childhood Obesity Initiative to evaluate Youth Engagement and Action for Health! (YEAH!), a youth advocacy project to engage youth and adult mentors in advocating for neighborhood improvements in physical activity and healthy eating opportunities. Study objectives included documenting group process and success of groups in engaging in community advocacy with decision makers. In 2011 and 2012, YEAH! group leaders were recruited from the San Diego County Childhood Obesity Initiative's half-day train-the-trainer seminars for adult leaders. Evaluators collected baseline and postproject survey data from youth participants and adult group leaders and interviewed decision makers. Of the 21 groups formed, 20 completed the evaluation, conducted community assessments, and advocated with decision makers. Various types of decision makers were engaged, including school principals, food service personnel, city council members, and parks and recreation officials. Eleven groups reported change(s) implemented as a result of their advocacy, 4 groups reported changes pending, and 5 groups reported no change as a result of their efforts. Even a brief training session, paired with a practical manual, technical assistance, and commitment of adult leaders and youth may successfully engage decision makers and, ultimately, bring about change.

From science to decision-making: taking the risk to communicate on risks

NASA Astrophysics Data System (ADS)

Leroi, Eric

2015-04-01

Geoscientists and decision-makers have the same responsibility toward the society: reducing the damaging consequences induced by natural phenomena. They have to work together, geoscientists to improve the knowledge and decision-makers to take the "best" decision, both to design and implement balanced solutions, both to communicate. Feedback shows that if the collaboration between them has already improved, a lot has still to be done, especially in terms of communication; endless litany, geoscientists don't communicate in the right way! In a hyperspecialized technological and segmented society with sophisticated methods of communication, geoscientists don't use appropriate tools and terminology. It's true, and a lot of examples can be shown that highlight this! Risks is based on complex concepts, on notions that are poorly understood, even by scientists themselves, especially the concepts of probability and occurrence of phenomena. But the problem rest as well on the role and on the responsibility of the geoscientists. Risk management experts address geosciences and technology to identify problems and define protection, including prohibitive measures (such as not allowing building in hazardous areas). Policy makers and local planners want to know where to develop territories. On one hand the identification of problems, on the other hand the needs of solutions. Dialectic is not the same. When responsibility, money and image are the three main pillars of decision-making, long-term modeling and uncertainty, are the basic ones for geosciences. In our participative democracies people want to be actor of the development of their own territories; they want more freedom, more protection and less tax. Face to unrealistic political answers geoscientists have to explain and convince. It's not possible to gain on everything and some are going to loose. Shall geoscientists let decision-makers communicate on topics they hardly understand? No. Shall geoscientists communicate on sociology, economy, politics…? Yes. But they have to learn how to better communicate, with decision-makers and with the population. They have to address new domains; they need and have to develop new approaches and new tools for communicating; they finally have to take responsibilities and risk! The presentation will address the general problems of communication between geoscientists, decision-makers and population and propose approaches and examples to reduce the gap.

Developing decision-relevant data and information systems for California water through listening and collaboration

NASA Astrophysics Data System (ADS)

Bales, R. C.; Bernacchi, L.; Conklin, M. H.; Viers, J. H.; Fogg, G. E.; Fisher, A. T.; Kiparsky, M.

2017-12-01

California's historic drought of 2011-2015 provided excellent conditions for researchers to listen to water-management challenges from decision makers, particularly with regard to data and information needs for improved decision making. Through the UC Water Security and Sustainability Research Initiative (http://ucwater.org/) we began a multi-year dialog with water-resources decision makers and state agencies that provide data and technical support for water management. Near-term products of that collaboration will be both a vision for a 21st-century water data and information system, and near-term steps to meet immediate legislative deadlines in a way that is consistent with the longer-term vision. While many university-based water researchers engage with state and local agencies on both science and policy challenges, UC Water's focus was on: i) integrated system management, from headwaters through groundwater and agriculture, and on ii) improved decision making through better water information systems. This focus aligned with the recognition by water leaders that fundamental changes in the way the state manages water were overdue. UC Water is focused on three "I"s: improved water information, empowering Institutions to use and to create new information, and enabling decision makers to make smart investments in both green and grey Infrastructure. Effective communication with water decision makers has led to engagement on high-priority programs where large knowledge gaps remain, including more-widespread groundwater recharge of storm flows, restoration of mountain forests in important source-water areas, governance structures for groundwater sustainability, and filling information gaps by bringing new technology to bear on measurement and data programs. Continuing engagement of UC Water researchers in public dialog around water resources, through opinion pieces, feature articles, blogs, white papers, social media, video clips and a feature documentary film have also been key to our continuing engagement. These novel partnerships are leading to decision-relevant tools and an improved integrated praxis in on-the-ground water-resources management. Our research is becoming more embedded in policies and our network remains interconnected with decision makers at multiple levels.

Better Decisions through Consultation and Collaboration

EPA Pesticide Factsheets

This manual discusses the benefits of public involvement to agency decision makers, including expanding shared baseline knowledge, generating support for the decision, and developing ongoing relationships that will help in implementing decisions.

A Social Report for Carroll County: Social Indicators for Rural Development. Sociology Report 134G.

ERIC Educational Resources Information Center

Marshall, Chris; And Others

Since the burden of improving quality of life is often squarely placed on the shoulders of public decision makers, this report (one of the products of Project 2142) provides a basis for assisting county-level decision makers in the planning process. Statistics that "indicate" the social well being or quality of life experienced by people…

The Current Status Of The United States Foreign Military Sales (FMS) Program

DTIC Science & Technology

2004-06-01

changing domestic and global security environment. Strengths, Weaknesses, Opportunities and Threats ( SWOT ) analysis was used to analyze: the information...gathered from the literature review; the importance of various players (domestic and international competitors, interests groups , decision makers...Foreign military assistance, Gulf Wars, the September 11 incidents, Market share, Decision Makers, Interest Groups , Major West European suppliers group

Perspectives of Women Decision-Makers Over the Participation and Recreational Events in Sports: A Turkish Perspective

ERIC Educational Resources Information Center

Guzel, Pinar

2015-01-01

The purpose of this research is to put forth the role of the leisure and recreation events awareness including women decision-makers effects on their fellow women. Three main themes were recognized: Past; "Process of leisure and recreation events of women in Turkey", Present; "Model of Turkey for women on leisure and…

Development of An Analytic Approach to Determine How Environmental Protection Agency’s Integrated Risk Information System (IRIS) Is Used by Non-EPA Decision Makers (Final Contractor Report)

EPA Science Inventory

EPA announced the availability of the final contractor report entitled, Development of an Analytic Approach to Determine How Environmental Protection Agency’s Integrated Risk Information System (IRIS) Is Used By Non EPA Decision Makers. This contractor report analyzed how ...

The GRADE Evidence to Decision (EtD) framework for health system and public health decisions.

PubMed

Moberg, Jenny; Oxman, Andrew D; Rosenbaum, Sarah; Schünemann, Holger J; Guyatt, Gordon; Flottorp, Signe; Glenton, Claire; Lewin, Simon; Morelli, Angela; Rada, Gabriel; Alonso-Coello, Pablo

2018-05-29

To describe a framework for people making and using evidence-informed health system and public health recommendations and decisions. We developed the GRADE Evidence to Decision (EtD) framework for health system and public health decisions as part of the DECIDE project, in which we simultaneously developed frameworks for these and other types of healthcare decisions, including clinical recommendations, coverage decisions and decisions about diagnostic tests. Building on GRADE EtD tables, we used an iterative approach, including brainstorming, consultation of the literature and with stakeholders, and an international survey of policy-makers. We applied the framework to diverse examples, conducted workshops and user testing with health system and public health guideline developers and policy-makers, and observed and tested its use in real-life guideline panels. All the GRADE EtD frameworks share the same basic structure, including sections for formulating the question, making an assessment and drawing conclusions. Criteria listed in the assessment section of the health system and public health framework cover the important factors for making these types of decisions; in addition to the effects and economic impact of an option, the priority of the problem, the impact of the option on equity, and its acceptability and feasibility are important considerations that can inform both whether and how to implement an option. Because health system and public health interventions are often complex, detailed implementation considerations should be made when making a decision. The certainty of the evidence is often low or very low, but decision-makers must still act. Monitoring and evaluation are therefore often important considerations for these types of decisions. We illustrate the different components of the EtD framework for health system and public health decisions by presenting their application in a framework adapted from a real-life guideline. This framework provides a structured and transparent approach to support policy-making informed by the best available research evidence, while making the basis for decisions accessible to those whom they will affect. The health system and public health EtD framework can also be used to facilitate dissemination of recommendations and enable decision-makers to adopt, and adapt, recommendations or decisions.

MODFLOW-2000, the U.S. Geological Survey modular ground-water model : user guide to the LMT6 package, the linkage with MT3DMS for multi-species mass transport modeling

USGS Publications Warehouse

Zheng, Chunmiao; Hill, Mary Catherine; Hsieh, Paul A.

2001-01-01

MODFLOW-2000, the newest version of MODFLOW, is a computer program that numerically solves the three-dimensional ground-water flow equation for a porous medium using a finite-difference method. MT3DMS, the successor to MT3D, is a computer program for modeling multi-species solute transport in three-dimensional ground-water systems using multiple solution techniques, including the finite-difference method, the method of characteristics (MOC), and the total-variation-diminishing (TVD) method. This report documents a new version of the Link-MT3DMS Package, which enables MODFLOW-2000 to produce the information needed by MT3DMS, and also discusses new visualization software for MT3DMS. Unlike the Link-MT3D Packages that coordinated previous versions of MODFLOW and MT3D, the new Link-MT3DMS Package requires an input file that, among other things, provides enhanced support for additional MODFLOW sink/source packages and allows list-directed (free) format for the flow model produced flow-transport link file. The report contains four parts: (a) documentation of the Link-MT3DMS Package Version 6 for MODFLOW-2000; (b) discussion of several issues related to simulation setup and input data preparation for running MT3DMS with MODFLOW-2000; (c) description of two test example problems, with comparison to results obtained using another MODFLOW-based transport program; and (d) overview of post-simulation visualization and animation using the U.S. Geological Survey?s Model Viewer.

Characteristics of the surface water DMS and pCO2 distributions and their relationships in the Southern Ocean, southeast Indian Ocean, and northwest Pacific Ocean

NASA Astrophysics Data System (ADS)

Zhang, Miming; Marandino, C. A.; Chen, Liqi; Sun, Heng; Gao, Zhongyong; Park, Keyhong; Kim, Intae; Yang, Bo; Zhu, Tingting; Yan, Jinpei; Wang, Jianjun

2017-08-01

Oceanic dimethyl sulfide (DMS) is of interest due to its critical influence on atmospheric sulfur compounds in the marine atmosphere and its hypothesized significant role in global climate. High-resolution shipboard underway measurements of surface seawater DMS and the partial pressure of carbon dioxide (pCO2) were conducted in the Atlantic Ocean and Indian Ocean sectors of the Southern Ocean (SO), the southeast Indian Ocean, and the northwest Pacific Ocean from February to April 2014 during the 30th Chinese Antarctic Research Expedition. The SO, particularly in the region south of 58°S, had the highest mean surface seawater DMS concentration of 4.1 ± 8.3 nM (ranged from 0.1 to 73.2 nM) and lowest mean seawater pCO2 level of 337 ± 50 μatm (ranged from 221 to 411 μatm) over the entire cruise. Significant variations of surface seawater DMS and pCO2 in the seasonal ice zone (SIZ) of SO were observed, which are mainly controlled by biological process and sea ice activity. We found a significant negative relationship between DMS and pCO2 in the SO SIZ using 0.1° resolution, [DMS] seawater = -0.160 [pCO2] seawater + 61.3 (r2 = 0.594, n = 924, p < 0.001). We anticipate that the relationship may possibly be utilized to reconstruct the surface seawater DMS climatology in the SO SIZ. Further studies are necessary to improve the universality of this approach.

Assay at low ppm level of dimethyl sulfate in starting materials for API synthesis using derivatization in ionic liquid media and LC-MS.

PubMed

Grinberg, Nelu; Albu, Florin; Fandrick, Keith; Iorgulescu, Elena; Medvedovici, Andrei

2013-03-05

Dimethyl sulfate (DMS) is frequently used in pharmaceutical manufacturing processes as an alkylating agent. Trace levels of DMS in drug substances should be carefully monitored since the compound can become an impurity which is genotoxic in nature. Derivatization of DMS with dibenzazepine leads to formation of the N-methyl derivative, which can be retained on a reversed phase column and subsequently separated from other potential impurities. Such derivatization occurs relatively slowly. However, it can be substantially speed up if ionic liquids are used as reaction media. In this paper we report the use of 1-butyl-1-methylpyrrolidinium bis(trifluoromethylsulfonyl)imide (IL1) and 1-butyl-4-methylpyridinium tetrafluoroborate (IL2) as reaction media for the derivatization of DMS with dibenzazepine. It was determined that the stoichiometry between the substrate and DMS may be 1:1 or 2:1, in relation with the nature of the reaction media. An (+)ESI-MS/MS approach was used for quantitation of the derivatized product. Alternatively, DMS derivatization may be carried out with pyridine in acetonitrile (ACN). The N-methylpyridinium derivative was separated by hydrophilic interaction liquid chromatography (HILIC) and detected through (+)ESI-MS (in the SIM mode). In both cases, a limit of quantitation (LOQ) of 0.05 μg/ml DMS was achievable, with a linearity range up to 10 μg/ml. Both analytical alternatives were applied to assay DMS in 4-(2-methoxyethyl)phenol, which is used as a starting material in the synthesis of metoprolol. Copyright © 2012 Elsevier B.V. All rights reserved.

Understanding The Decision Context: DPSIR, Decision Landscape, And Social Network Analysis

EPA Science Inventory

Establishing the decision context for a management problem is the critical first step for effective decision analysis. Understanding the decision context allow stakeholders and decision-makers to integrate the societal, environmental, and economic considerations that must be con...

The Obsolescence of DMS in an Information Centric World

DTIC Science & Technology

2011-04-13

system. DMS does this today already for submarines. It would only require a change in the programming of the existing Tactical Messaging Gateway ( TMG ...and NATO. The TMG , MFI and National Gateways convert the message into a format that can be read by the intended recipient. DMS is a fire and

Discourse Markers in Non-Native EFL Teacher Talk

ERIC Educational Resources Information Center

Vickov, Gloria; Jakupcevic, Eva

2017-01-01

The present study aims to investigate the use of discourse markers (DMs) in nonnative (Croatian) EFL teachers' talk with primary and secondary school students. The study concentrates on the occurrences and frequencies of DMs, but it also provides an account of the function distribution of the three most frequently used DMs (ok, so, and). The…

An innovative approach to addressing childhood obesity: a knowledge-based infrastructure for supporting multi-stakeholder partnership decision-making in Quebec, Canada.

PubMed

Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L; Dubé, Laurette

2015-01-23

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a "portrait", which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity.

An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada

PubMed Central

Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L.; Dubé, Laurette

2015-01-01

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a “portrait”, which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity. PMID:25625409

Longitudinal analysis on utilization of medical document management system in a hospital with EPR implementation.

PubMed

Kuwata, Shigeki; Yamada, Hitomi; Park, Keunsik

2011-01-01

Document management systems (DMS) have widespread in major hospitals in Japan as a platform to digitize the paper-based records being out of coverage by EPR. This study aimed to examine longitudinal trends of actual use of DMS in a hospital in which EPR had been in operation, which would be conducive to planning the further information management system in the hospital. Degrees of utilization of electronic documents and templates with DMS were analyzed based on data extracted from a university-affiliated hospital with EPR. As a result, it was found that the number of electronic documents as well as scanned documents circulating at the hospital tended to increase. The result indicated that replacement of paper-based documents with electronic documents did not occur. Therefore it was anticipated that the need for DMS would continue to increase in the hospital. The methods used this study to analyze the trend of DMS utilization would be applicable to other hospitals with with a variety of DMS implementation, such as electronic storage by scanning documents or paper preservation that is compatible with EPR.

Performance evaluation of Platform Data ManagementSystem under various degrees of protocol implementation

NASA Technical Reports Server (NTRS)

Arozullah, Mohammed

1991-01-01

The Platform Data Management System (DMS) collects Housekeeping (H/K), Payload (P/L) Engineering, and Payload Science data from various subsystems and payloads on the platform for transmission to the ground through the downlink via TDRSS. The DMS also distributes command data received from the ground to various subsystems and payloads. In addition, DMS distributes timing and safemode data. The function of collection and distribution of various types of data is performed by the Command and Data Handling (C&DH) subsystem of DMS. The C&DH subsystem uses for this purpose a number of data buses namely, Housekeeping, Payload Engineering, Payload Science, and Time and Safemode buses. Out of these buses, the H/K, P/L Engineering, and P/L Science buses are planned to be implemented by using MIL-STD 1553 bus. Most of the period covered was spent in developing a queue theoretic model of the 1553 Bus as used in the DMS. The aim is to use this model to test the performance and suitability of the 1553 Bus to the DMS under a number of alternative design scenarios.

Difficult decisions in times of constraint: Criteria based Resource Allocation in the Vancouver Coastal Health Authority

PubMed Central

2011-01-01

Objectives The aim of the project was to develop a plan to address a forecasted deficit of approximately $4.65 million for fiscal year 2010/11 in the Vancouver Communities division of the Vancouver Coastal Health Authority. For disinvestment opportunities identified beyond the forecasted deficit, a commitment was made to consider options for resource re-allocation within the Vancouver Communities division. Methods A standard approach to program budgeting and marginal analysis (PBMA) was taken with a priority setting working committee and a broader advisory panel. An experienced, non-vested internal project manager worked closely with the two-member external research team throughout the process. Face to face evaluation interviews were held with 10 decision makers immediately following the process. Results The recommendations of the working committee included the implementation of 44 disinvestment initiatives with an annualized value of CAD $4.9 million, as well as consideration of possible investments if the realized savings match expectations. Overall, decision makers viewed the process favorably and the primary aim of addressing the deficit gap was met. Discussion A key challenge was the tight timeline which likely lead to less evidence informed decision making then one would hope for. Despite this, decision makers felt that better decisions were made then had the process not been in place. In the end, this project adds value in finding that PBMA can be used to cover a deficit and minimize opportunity cost through systematic application of criteria whilst ensuring process fairness through focusing on communication, transparency and decision maker engagement. PMID:21756357

Psychological defense, ideological hideaway, or rational reckoning? The role of uncertainty in local adaptation to climate change

NASA Astrophysics Data System (ADS)

Moser, S. C.

2011-12-01

As adaptation planning is rising rapidly on the agenda of decision-makers, the need for adequate information to inform those decisions is growing. Locally relevant climate change (as well as related impacts and vulnerability) information, however, is difficult to obtain and that which can be obtained carries the burden of significant scientific uncertainty. This paper aims to assess how important such uncertainty is in adaptation planning, decision-making, and related stakeholder engagement. Does uncertainty actually hinder adaptation planning? Is scientific uncertainty used to postpone decisions reflecting ideologically agendas? Or is it a convenient defense against cognitive and affective engagement with the emerging and projected - and in some cases daunting - climate change risks? To whom does such uncertainty matter and how important is it relative to other challenges decision-makers and stakeholders face? The paper draws on four sources of information to answer these questions: (1) a statewide survey of California coastal managers conducted in summer 2011, (2) years of continual engagement with, and observation of, decision-makers in local adaptation efforts, (3) findings from focus groups with lay individuals in coastal California; and (4) a review of relevant adaptation literature to guide and contextualize the empirical research. The findings entail some "inconvenient truths" for those claiming critical technical or political importance. Rather, the insights suggest that some uncertainties matter more than others; they matter at certain times, but not at others; and they matter to some decision-makers, but not to others. Implications for scientists communicating and engaging with communities are discussed.

A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas

PubMed Central

Schuurman, Nadine; Leight, Margo; Berube, Myriam

2008-01-01

Background The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocation decisions. As health services are rationalized, the development of tools such graphical user interfaces (GUIs) is especially valuable at they assist decision makers in allocating resources such that the maximum number of people are served. GIS can used to develop GUIs that enable spatial decision making. Results We have created a Web-based GUI (wGUI) to assist health policy makers and administrators in the Canadian province of British Columbia make well-informed decisions about the location and allocation of time-sensitive service capacities in rural regions of the province. This tool integrates datasets for existing hospitals and services, regional populations and road networks to allow users to ascertain the percentage of population in any given service catchment who are served by a specific health service, or baskets of linked services. The wGUI allows policy makers to map trauma and obstetric services against rural populations within pre-specified travel distances, illustrating service capacity by region. Conclusion The wGUI can be used by health policy makers and administrators with little or no formal GIS training to visualize multiple health resource allocation scenarios. The GUI is poised to become a critical decision-making tool especially as evidence is increasingly required for distribution of health services. PMID:18793428

Advancing the use of performance evaluation in health care.

PubMed

Traberg, Andreas; Jacobsen, Peter; Duthiers, Nadia Monique

2014-01-01

The purpose of this paper is to develop a framework for health care performance evaluation that enables decision makers to identify areas indicative of corrective actions. The framework should provide information on strategic pro-/regress in an operational context that justifies the need for organizational adjustments. The study adopts qualitative methods for constructing the framework, subsequently implementing the framework in a Danish magnetic resonance imaging (MRI) unit. Workshops and interviews form the basis of the qualitative construction phase, and two internal and five external databases are used for a quantitative data collection. By aggregating performance outcomes, collective measures of performance are achieved. This enables easy and intuitive identification of areas not strategically aligned. In general, the framework has proven helpful in an MRI unit, where operational decision makers have been struggling with extensive amounts of performance information. The implementation of the framework in a single case in a public and highly political environment restricts the generalizing potential. The authors acknowledge that there may be more suitable approaches in organizations with different settings. The strength of the framework lies in the identification of performance problems prior to decision making. The quality of decisions is directly related to the individual decision maker. The only function of the framework is to support these decisions. The study demonstrates a more refined and transparent use of performance reporting by combining strategic weight assignment and performance aggregation in hierarchies. In this way, the framework accentuates performance as a function of strategic progress or regress, thus assisting decision makers in exerting operational effort in pursuit of strategic alignment.

Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies

USGS Publications Warehouse

Cooley, Sarah R.; Jewett, Elizabeth B.; Reichert, Julie; Robbins, Lisa L.; Shrestha, Gyami; Wieczorek, Dan; Weisberg, Stephen B.

2015-01-01

Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.

Decision-making in crisis: Applying a healthcare triage methodology to business continuity management.

PubMed

Moore, Bethany; Bone, Eric A

2017-01-01

The concept of triage in healthcare has been around for centuries and continues to be applied today so that scarce resources are allocated according to need. A business impact analysis (BIA) is a form of triage in that it identifies which processes are most critical, which to address first and how to allocate limited resources. On its own, however, the BIA provides only a roadmap of the impacts and interdependencies of an event. When disaster strikes, organisational decision-makers often face difficult decisions with regard to allocating limited resources between multiple 'mission-critical' functions. Applying the concept of triage to business continuity provides those decision-makers navigating a rapidly evolving and unpredictable event with a path that protects the fundamental priorities of the organisation. A business triage methodology aids decision-makers in times of crisis by providing a simplified framework for decision-making based on objective, evidence-based criteria, which is universally accepted and understood. When disaster strikes, the survival of the organisation depends on critical decision-making and quick actions to stabilise the incident. This paper argues that organisations need to supplement BIA processes with a decision-making triage methodology that can be quickly applied during the chaos of an actual event.

From products to processes: Academic events to foster interdisciplinary and iterative dialogue in a changing climate

NASA Astrophysics Data System (ADS)

Addor, Nans; Ewen, Tracy; Johnson, Leigh; Ćöltekin, Arzu; Derungs, Curdin; Muccione, Veruska

2015-08-01

In the context of climate change, both climate researchers and decision makers deal with uncertainties, but these uncertainties differ in fundamental ways. They stem from different sources, cover different temporal and spatial scales, might or might not be reducible or quantifiable, and are generally difficult to characterize and communicate. Hence, a mutual understanding between current and future climate researchers and decision makers must evolve for adaptation strategies and planning to progress. Iterative two-way dialogue can help to improve the decision making process by bridging current top-down and bottom-up approaches. One way to cultivate such interactions is by providing venues for these actors to interact and exchange on the uncertainties they face. We use a workshop-seminar series involving academic researchers, students, and decision makers as an opportunity to put this idea into practice and evaluate it. Seminars, case studies, and a round table allowed participants to reflect upon and experiment with uncertainties. An opinion survey conducted before and after the workshop-seminar series allowed us to qualitatively evaluate its influence on the participants. We find that the event stimulated new perspectives on research products and communication processes, and we suggest that similar events may ultimately contribute to the midterm goal of improving support for decision making in a changing climate. Therefore, we recommend integrating bridging events into university curriculum to foster interdisciplinary and iterative dialogue among researchers, decision makers, and students.

Inter-individual differences in decision-making, flexible and goal-directed behaviors: novel insights within the prefronto-striatal networks.

PubMed

Fitoussi, Aurélie; Renault, Prisca; Le Moine, Catherine; Coutureau, Etienne; Cador, Martine; Dellu-Hagedorn, Françoise

2018-03-01

Inflexible behavior is a hallmark of several decision-making-related disorders such as ADHD and addiction. As in humans, a subset of healthy rats makes poor decisions and prefers immediate larger rewards despite suffering large losses in a rat gambling task (RGT). They also display a combination of traits reminiscent of addiction, notably inflexible behavior and perseverative responses. The goal of the present work was twofold: (1) to elucidate if behavioral inflexibility of poor decision-makers could be related to a lower quality of goal-directed behavior (action-outcome associations); (2) to uncover the neural basis of inter-individual differences in goal-directed behavior. We specifically assessed inter-individual differences in decision-making in the RGT, flexibility in the RGT-reversed version and goal-directed behavior in a contingency degradation test, i.e., response adaptation when dissociating reward delivery from the animal's action. The contributions of the medial prefrontal cortex and the dorsal striatum to action-outcome associations were assessed using Zif268 immunodetection. Inflexible behavior was related to a lower sensitivity to contingency degradation in all poor decision-makers and only in a few good decision-makers. This poorer sensitivity was associated with a lower immunoreactivity in prelimbic and infralimbic cortices and a higher one in the dorsomedial and dorsolateral striatum. These findings suggest that an imbalanced prefronto-striatal activity could underlie inaccurate goal representation in changing environments and may promote maladaptive habit formation among poor decision-makers. These data strengthen our previous work identifying biomarkers of vulnerability to develop psychiatric disorders and demonstrate the relevance of inter-individual differences to model maladaptive behaviors.

Using M and S to Improve Human Decision Making and Achieve Effective Problem Solving in an International Environment

NASA Technical Reports Server (NTRS)

Christie, Vanessa L.; Landess, David J.

2012-01-01

In the international arena, decision makers are often swayed away from fact-based analysis by their own individual cultural and political bias. Modeling and Simulation-based training can raise awareness of individual predisposition and improve the quality of decision making by focusing solely on fact vice perception. This improved decision making methodology will support the multinational collaborative efforts of military and civilian leaders to solve challenges more effectively. The intent of this experimental research is to create a framework that allows decision makers to "come to the table" with the latest and most significant facts necessary to determine an appropriate solution for any given contingency.

Implications of sea-ice biogeochemistry for oceanic production and emissions of dimethyl sulfide in the Arctic

NASA Astrophysics Data System (ADS)

Hayashida, Hakase; Steiner, Nadja; Monahan, Adam; Galindo, Virginie; Lizotte, Martine; Levasseur, Maurice

2017-06-01

Sea ice represents an additional oceanic source of the climatically active gas dimethyl sulfide (DMS) for the Arctic atmosphere. To what extent this source contributes to the dynamics of summertime Arctic clouds is, however, not known due to scarcity of field measurements. In this study, we developed a coupled sea ice-ocean ecosystem-sulfur cycle model to investigate the potential impact of bottom-ice DMS and its precursor dimethylsulfoniopropionate (DMSP) on the oceanic production and emissions of DMS in the Arctic. The results of the 1-D model simulation were compared with field data collected during May and June of 2010 in Resolute Passage. Our results reproduced the accumulation of DMS and DMSP in the bottom ice during the development of an ice algal bloom. The release of these sulfur species took place predominantly during the earlier phase of the melt period, resulting in an increase of DMS and DMSP in the underlying water column prior to the onset of an under-ice phytoplankton bloom. Production and removal rates of processes considered in the model are analyzed to identify the processes dominating the budgets of DMS and DMSP both in the bottom ice and the underlying water column. When openings in the ice were taken into account, the simulated sea-air DMS flux during the melt period was dominated by episodic spikes of up to 8.1 µmol m-2 d-1. Further model simulations were conducted to assess the effects of the incorporation of sea-ice biogeochemistry on DMS production and emissions, as well as the sensitivity of our results to changes of uncertain model parameters of the sea-ice sulfur cycle. The results highlight the importance of taking into account both the sea-ice sulfur cycle and ecosystem in the flux estimates of oceanic DMS near the ice margins and identify key uncertainties in processes and rates that should be better constrained by new observations.

[Delusional misidentification syndromes: A factor associated with violence? Literature review of case reports].

PubMed

Horn, M; Pins, D; Vaiva, G; Thomas, P; Fovet, T; Amad, A

2018-03-23

Delusional misidentification syndromes (DMS) correspond to the delusional belief of misidentification of familiar persons, places or objects and to the conviction that they have been replaced or transformed. Several cases of patients who developed violent behavior while suffering from DMS have been published. This led some authors to consider patients with DMS at risk of violence. However, only a few studies have focused on the potential relationship between violence and DMS. The aim of our study was to explore this relationship with a literature review of published cases of patients having committed violent acts associated to DMS. A systematic literature search was conducted on PubMed up to January 2017 using the following term combination "misidentification" and "violence" Fifteen cases of patients with DMS who had committed violent acts were identified. The data from these descriptions were analyzed and synthetized. Most of the patients were men with a diagnosis of schizophrenia and Capgras syndrome. Acts of violence were severe with a relatively high number of murders or attempted murders. For half of the patients these violent acts were perpetrated with weapons. Victims were regularly the patient's family members and the assaults were usually not planned. Delusional syndromes often progressed for several years. Importantly, substance abuse, which is known to increase the risk of violence in patients with schizophrenia, was only observed in two patients. DMS are associated with several risk factors of violence, such as a diagnosis of schizophrenia, specific delusions including megalomania, persecution, negative affects and identified targets. Despite this risk for severe violence, there are no existing guidelines on how to assess and treat DMS in schizophrenia. Accordingly, we propose (1) the establishment of formal diagnostic criteria, (2) the development of rigorous research on these syndromes and (3) the integration of DMS in assessment of violence risk in schizophrenic patients. Copyright © 2018 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

Dying cancer patients talk about physician and patient roles in DNR decision making.

PubMed

Eliott, Jaklin A; Olver, Ian

2011-06-01

Within medical and bioethical discourse, there are many models depicting the relationships between, and roles of, physician and patient in medical decision making. Contestation similarly exists over the roles of physician and patient with regard to the decision not to provide cardiopulmonary resuscitation (CPR) following cardiac arrest [the do-not-resuscitate or do-not-resuscitate (DNR) decision], but there is little analysis of patient perspectives. Analyse what patients with cancer within weeks before dying say about the decision to forego CPR and the roles of patient and physician in this decision. Discursive analysis of qualitative data gathered during semi-structured interviews with 28 adult cancer patients close to death and attending palliative or oncology clinics of an Australian teaching hospital. Participants' descriptions of appropriate patient or physician roles in decisions about CPR appeared related to how they conceptualized the decision: as a personal or a medical issue, with patient and doctor respectively identified as appropriate decision makers; or alternatively, both medical and personal, with various roles assigned embodying different versions of a shared decision-making process. Participants' endorsement of physicians as decision makers rested upon physicians' enactment of the rational, knowledgeable and compassionate expert, which legitimized entrusting them to make the DNR decision. Where this was called into question, physicians were positioned as inappropriate decision makers. When patients' and physicians' understandings of the best decision, or of the preferred role of either party, diverge, conflict may ensue. In order to elicit and negotiate with patient preferences, flexibility is required during clinical interactions about decision making. © 2010 Blackwell Publishing Ltd.

Information Interaction Study for DER and DMS Interoperability

NASA Astrophysics Data System (ADS)

Liu, Haitao; Lu, Yiming; Lv, Guangxian; Liu, Peng; Chen, Yu; Zhang, Xinhui

The Common Information Model (CIM) is an abstract data model that can be used to represent the major objects in Distribution Management System (DMS) applications. Because the Common Information Model (CIM) doesn't modeling the Distributed Energy Resources (DERs), it can't meet the requirements of DER operation and management for Distribution Management System (DMS) advanced applications. Modeling of DER were studied based on a system point of view, the article initially proposed a CIM extended information model. By analysis the basic structure of the message interaction between DMS and DER, a bidirectional messaging mapping method based on data exchange was proposed.

Monitoring/Verification using DMS: TATP Example

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephan Weeks; Kevin Kyle

Field-rugged and field-programmable differential mobility spectrometry (DMS) networks provide highly selective, universal monitoring of vapors and aerosols at detectable levels from persons or areas involved with illicit chemical/biological/explosives (CBE) production. CBE sensor motes used in conjunction with automated fast gas chromatography with DMS detection (GC/DMS) verification instrumentation integrated into situational operations management systems can be readily deployed and optimized for changing application scenarios. The feasibility of developing selective DMS motes for a 'smart dust' sampling approach with guided, highly selective, fast GC/DMS verification analysis is a compelling approach to minimize or prevent the use of explosives or chemical and biologicalmore » weapons in terrorist activities. Two peroxide-based liquid explosives, triacetone triperoxide (TATP) and hexamethylene triperoxide diamine (HMTD), are synthesized from common chemicals such as hydrogen peroxide, acetone, sulfuric acid, ammonia, and citric acid (Figure 1). Recipes can be readily found on the Internet by anyone seeking to generate sufficient quantities of these highly explosive chemicals to cause considerable collateral damage. Detection of TATP and HMTD by advanced sensing systems can provide the early warning necessary to prevent terror plots from coming to fruition. DMS is currently one of the foremost emerging technologies for the separation and detection of gas-phase chemical species. This is due to trace-level detection limits, high selectivity, and small size. DMS separates and identifies ions at ambient pressures by utilizing the non-linear dependence of an ion's mobility on the radio frequency (rf) electric field strength. GC is widely considered to be one of the leading analytical methods for the separation of chemical species in complex mixtures. Advances in the technique have led to the development of low-thermal-mass fast GC columns. These columns are capable of completing runs in less than 3 minutes. Fast GC columns are also more compact than their traditional counterparts. An earlier collaborative effort involving these authors optimized a handheld, fast GC/DMS, equipped with a non-rad ionization source, for the detection of TATP (Figure 2). The unit combines the separation capabilities of GC with the selectivity of DMS. Analytes are identified both by their elution time from the column and by the characteristic response in the DMS spectrum. Analysis times required to obtain results for these analytes are approximately 80 seconds for TATP and 160 seconds for HMTD (Figure 3). The limit of detection for both TATP and HMTD is approximately 1 ng/{micro}L. Substances that could interfere with the detection of peroxide-based explosives have been studied. Both the GC elution time and the DMS spectral peak locations were unique and do not hinder the detection of either TATP or HMTD.« less

Aerobic and anaerobic degradation of a range of alkyl sulfides by a denitrifying marine bacterium

USGS Publications Warehouse

Visscher, P.T.; Taylor, B.F.

1993-01-01

A pure culture of a bacterium was obtained from a marine microbial mat by using an anoxic medium containing dimethyl sulfide (DMS) and nitrate. The isolate grew aerobically or anaerobically as a denitrifier on alkyl sulfides, including DMS, dimethyl disulfide, diethyl sulfide (DES), ethyl methyl sulfide, dipropyl sulfide, dibutyl sulfide, and dibutyl disulfide. Cells grown on an alkyl sulfide or disulfide also oxidized the corresponding thiols, namely, methanethiol, ethanethiol, propanethiol, or butanethiol. Alkyl sulfides were metabolized by induced or derepressed cells with oxygen, nitrate, or nitrite as electron acceptor. Cells grown on DMS immediately metabolized DMS, but there was a lag before DES was consumed; with DES-grown cells, DES was immediately used but DMS was used only after a lag. Chloramphenicol prevented the eventual use of DES by DMS-grown cells and DMS use by DES-grown cells, respectively, indicating separate enzymes for the metabolism of methyl and ethyl groups. Growth was rapid on formate, acetate, propionate, and butyrate but slow on methanol. The organism also grew chemolithotrophically on thiosulfate with a decrease in pH; growth required carbonate in the medium. Growth on sulfide was also carbonate dependent but slow. The isolate was identified as a Thiobacillus sp. and designated strain ASN-1. It may have utility for removing alkyl sulfides, and also nitrate, nitrite, and sulfide, from wastewaters.

Enhancing the informed consent process for critical care research: strategies from a thromboprophylaxis trial.

PubMed

Smith, Orla M; McDonald, Ellen; Zytaruk, Nicole; Foster, Denise; Matte, Andrea; Clarke, France; Fleury, Suzie; Krause, Katie; McArdle, Tracey; Skrobik, Yoanna; Cook, Deborah J

2013-12-01

Critically ill patients lack capacity for decisions about research participation. Consent to enrol these patients in studies is typically obtained from substitute decision-makers. To present strategies that may optimise the process of obtaining informed consent from substitute decision-makers for participation of critically ill patients in trials. We use examples from a randomised trial of heparin thromboprophylaxis in the intensive care unit (PROTECT, clinicaltrials.gov NCT00182143). 3764 patients were randomised, with an informed consent rate of 82%; 90% of consents were obtained from substitute decision-makers. North American PROTECT research coordinators attended three meetings to discuss enrolment: (1) Trial start-up (January 2006); (2) Near trial closure (January 2010); and (3) Post-publication (April 2011). Data were derived from slide presentations, field notes from break-out groups and plenary discussions, then analysed inductively. We derived three phases for the informed consent process: (1) Preparation for the Consent Encounter; (2) The Consent Encounter; and (3) Follow-up to the Consent Encounter. Specific strategies emerged for each phase: Phase 1 (four strategies); Phase 2 (six strategies); and Phase 3 (three strategies). We identified 13 strategies that may improve the process of obtaining informed consent from substitute decision-makers and be generalisable to other settings and studies. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Game theory and neural basis of social decision making

PubMed Central

Lee, Daeyeol

2008-01-01

Decision making in a social group displays two unique features. First, humans and other animals routinely alter their behaviors in response to changes in their physical and social environment. As a result, the outcomes of decisions that depend on the behaviors of multiple decision makers are difficult to predict, and this requires highly adaptive decision-making strategies. Second, decision makers may have other-regarding preferences and therefore choose their actions to improve or reduce the well-beings of others. Recently, many neurobiological studies have exploited game theory to probe the neural basis of decision making, and found that these unique features of social decision making might be reflected in the functions of brain areas involved in reward evaluation and reinforcement learning. Molecular genetic studies have also begun to identify genetic mechanisms for personal traits related to reinforcement learning and complex social decision making, further illuminating the biological basis of social behavior. PMID:18368047

The Current Mind-Set of Federal Information Security Decision-Makers on the Value of Governance: An Informative Study

ERIC Educational Resources Information Center

Stroup, Jay Walter

2014-01-01

Understanding the mind-set or perceptions of organizational leaders and decision-makers is important to ascertaining the trends and priorities in policy and governance of the organization. This study finds that a significant shift in the mind-set of government IT and information security leaders has started and will likely result in placing a…

Evaluation of an Interactive Workshop Designed to Teach Practical Welfare Techniques to Beef Cattle Caretakers and Decision Makers

ERIC Educational Resources Information Center

Dewell, Reneé; Hanthorn, Christy; Danielson, Jared; Burzette, Rebecca; Coetzee, Johann; Griffin, D. Dee; Ramirez, Alejandro; Dewell, Grant

2015-01-01

The purpose of the project was to evaluate the use of an interactive workshop designed to teach novel practical welfare techniques to beef cattle caretakers and decision makers. Following training, respondents reported being more likely to use or recommend use of local anesthesia for dehorning and castration and were more inclined to use meloxicam…

State Decision-Makers Guide for Hazardous Waste Management: Defining Hazardous Wastes, Problem Recognition, Land Use, Facility Operations, Conceptual Framework, Policy Issues, Transportation.

ERIC Educational Resources Information Center

Corson, Alan; And Others

Presented are key issues to be addressed by state, regional, and local governments and agencies in creating effective hazardous waste management programs. Eight chapters broadly frame the topics which state-level decision makers should consider. These chapters include: (1) definition of hazardous waste; (2) problem definition and recognition; (3)…

Knowledge and Attitudes of a Number of Iranian Policy-makers towards Abortion.

PubMed

Hourieh, Shamshiri-Milani; Abolghasem, Pourreza; Feizollah, Akbari

2010-10-01

Unsafe and illegal abortions are the third leading cause of maternal death. It affects physical, emotional and social health of women and their families. Abortion is a multi-dimensional phenomenon with several social, legal, and religious implications. The views of policy-makers affect the approach to abortion in every society. Understanding the attitudes and knowledge of high-ranking decision makers towards abortion was the purpose of this study. A qualitative research was implemented by carrying out individual interviews with 29 out of a selection of 80 presidents of medical sciences universities, senior executive managers in the legal system, forensic medicine and decision-makers in the health system and a number of top Muslim clerics, using a semi-structured questionnaire for data gathering. Content analysis revealed the results. There were considerable unwillingness and reluctance among the interviewees to participate in the study. The majority of participants fairly knew about the prevalence of illegal abortions and their complications. There was strong agreement on abortion when health of the mother or the fetus was at risk. Abortion for reproductive health reasons was supported by a minority of the respondents. The majority of them disagreed with abortion when pregnancy was the result of a rape, temporary marriage or out of wedlock affairs. Making decision for abortion by the pregnant mother, as a matter of her right, did not gain too much approval. It seemed that physical health of the mother or the fetus was of more importance to the respondents than their mental or social health. The mother's hardship was not any indication for induced abortion in the viewpoints of the interviewed policy-makers. Strengthening family planning programs, making appropriate laws in lines with religious orders and advocacy programs targeting decision makers are determined as strategies for improving women's health rights.

Dying cancer patients talk about physician and patient roles in DNR decision making

PubMed Central

Eliott, Jaklin A.; Olver, Ian

2011-01-01

Abstract Background  Within medical and bioethical discourse, there are many models depicting the relationships between, and roles of, physician and patient in medical decision making. Contestation similarly exists over the roles of physician and patient with regard to the decision not to provide cardiopulmonary resuscitation (CPR) following cardiac arrest [the do‐not‐resuscitate or do‐not‐resuscitate (DNR) decision], but there is little analysis of patient perspectives. Objective  Analyse what patients with cancer within weeks before dying say about the decision to forego CPR and the roles of patient and physician in this decision. Design and participants  Discursive analysis of qualitative data gathered during semi‐structured interviews with 28 adult cancer patients close to death and attending palliative or oncology clinics of an Australian teaching hospital. Results  Participants’ descriptions of appropriate patient or physician roles in decisions about CPR appeared related to how they conceptualized the decision: as a personal or a medical issue, with patient and doctor respectively identified as appropriate decision makers; or alternatively, both medical and personal, with various roles assigned embodying different versions of a shared decision‐making process. Participants’ endorsement of physicians as decision makers rested upon physicians’ enactment of the rational, knowledgeable and compassionate expert, which legitimized entrusting them to make the DNR decision. Where this was called into question, physicians were positioned as inappropriate decision makers. Conclusion  When patients’ and physicians’ understandings of the best decision, or of the preferred role of either party, diverge, conflict may ensue. In order to elicit and negotiate with patient preferences, flexibility is required during clinical interactions about decision making. PMID:20860782

How decisions happen: focal points and blind spots in interdependent decision making.

PubMed

Halevy, Nir; Chou, Eileen Y

2014-03-01

Decision makers often simplify decision problems by ignoring readily available information. The current multimethod research investigated which types of information about interdependence situations are psychologically prominent to decision makers and which tend to go unnoticed. Study 1 used eye-tracking measures to investigate how decision makers allocate their attention in interdependence situations and revealed that individuals fixated on mutual cooperation earlier and longer as compared with alternative combinations of strategies and outcomes. In addition, participants' behavioral cooperation was consistent with their attention allocation. Study 2 introduced a novel information-search paradigm: Participants exchanged yes/no questions and answers to discover which of 25 different games their counterpart chose. Analyzing the contents of participants' questions showed that, consistent with Study 1, participants focused primarily on desirable outcomes and symmetric behavioral choices. Study 3 revealed that outcome desirability is a robust basis of psychological prominence across different types of social relations; in contrast, the psychological prominence of symmetry was moderated by the nature of social relations. Study 4 revealed that whether different bases of psychological prominence directed individuals' attention to the same aspects of the decision-making task moderated the effect of information availability on decision latency and cooperation rates. Taken together, these findings contribute to the mapping of bounded rationality, demonstrate how people think about their interdependence, and enhance our understanding of how decisions happen. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

To Share or Not to Share: Malaysian Healthcare Professionals' Views on Localized Prostate Cancer Treatment Decision Making Roles.

PubMed

Lee, Yew Kong; Lee, Ping Yein; Cheong, Ai Theng; Ng, Chirk Jenn; Abdullah, Khatijah Lim; Ong, Teng Aik; Razack, Azad Hassan Abdul

2015-01-01

To explore the views of Malaysian healthcare professionals (HCPs) on stakeholders' decision making roles in localized prostate cancer (PCa) treatment. Qualitative interviews and focus groups were conducted with HCPs treating PCa. Data was analysed using a thematic approach. Four in-depth interviews and three focus group discussions were conducted between December 2012 and March 2013 using a topic guide. Interviews were audio-recorded, transcribed verbatim, and analysed thematically. The participants comprised private urologists (n = 4), government urologists (n = 6), urology trainees (n = 6), government policy maker (n = 1) and oncologists (n = 3). HCP perceptions of the roles of the three parties involved (HCPs, patients, family) included: HCP as the main decision maker, HCP as a guide to patients' decision making, HCP as a facilitator to family involvement, patients as main decision maker and patient prefers HCP to decide. HCPs preferred to share the decision with patients due to equipoise between prostate treatment options. Family culture was important as family members often decided on the patient's treatment due to Malaysia's close-knit family culture. A range of decision making roles were reported by HCPs. It is thus important that stakeholder roles are clarified during PCa treatment decisions. HCPs need to cultivate an awareness of sociocultural norms and family dynamics when supporting non-Western patients in making decisions about PCa.

Prediction of alcohol and gambling problems in young adults by using a measure of decision making.

PubMed

Harvanko, Arit M; Schreiber, Liana R N; Grant, Jon E

2013-01-01

Individuals who regularly gamble, regularly consume alcohol, or meet criteria for an alcohol-use disorder or pathological gambling may make riskier decisions on cognitive tasks. What remains unclear in the literature is whether these decision-making deficits precede or result from these addictive behaviors. This study aimed to determine whether risky decision making on a cognitive task is predictive of increasing gambling behaviors and alcohol use. Fifty-eight young adults (aged 18-29 years) free from Axis I disorders and reporting no symptoms of at-risk gambling behavior or alcohol consumption, who were participating in a longitudinal study of impulsivity, were grouped as either high-risk decision makers (n = 29) or low-risk decision makers (n = 29) by using the Cambridge Gamble Task. Subjects were assessed at 1-year follow-up to examine gambling frequency, alcohol consumption, at-risk alcohol-use criteria, alcohol-use disorder criteria, at-risk gambling criteria, and pathological gambling criteria. High-risk decision makers were found to be more likely to meet at-risk criteria for alcohol use after 1 year. Decision-making group membership was not significantly correlated with frequency of gambling or development of pathological gambling or alcohol-use disorder over 1 year. A variable measuring risky decision making on the Cambridge Gambling Task may be able to predict who is more likely to increase alcohol use per session later in life.

To Share or Not to Share: Malaysian Healthcare Professionals' Views on Localized Prostate Cancer Treatment Decision Making Roles

PubMed Central

Lee, Yew Kong; Lee, Ping Yein; Cheong, Ai Theng; Ng, Chirk Jenn; Abdullah, Khatijah Lim; Ong, Teng Aik; Razack, Azad Hassan Abdul

2015-01-01

Aim To explore the views of Malaysian healthcare professionals (HCPs) on stakeholders’ decision making roles in localized prostate cancer (PCa) treatment. Methods Qualitative interviews and focus groups were conducted with HCPs treating PCa. Data was analysed using a thematic approach. Four in-depth interviews and three focus group discussions were conducted between December 2012 and March 2013 using a topic guide. Interviews were audio-recorded, transcribed verbatim, and analysed thematically. Findings The participants comprised private urologists (n = 4), government urologists (n = 6), urology trainees (n = 6), government policy maker (n = 1) and oncologists (n = 3). HCP perceptions of the roles of the three parties involved (HCPs, patients, family) included: HCP as the main decision maker, HCP as a guide to patients’ decision making, HCP as a facilitator to family involvement, patients as main decision maker and patient prefers HCP to decide. HCPs preferred to share the decision with patients due to equipoise between prostate treatment options. Family culture was important as family members often decided on the patient’s treatment due to Malaysia’s close-knit family culture. Conclusions A range of decision making roles were reported by HCPs. It is thus important that stakeholder roles are clarified during PCa treatment decisions. HCPs need to cultivate an awareness of sociocultural norms and family dynamics when supporting non-Western patients in making decisions about PCa. PMID:26559947

TIUPAM: A Framework for Trustworthiness-Centric Information Sharing

NASA Astrophysics Data System (ADS)

Xu, Shouhuai; Sandhu, Ravi; Bertino, Elisa

Information is essential to decision making. Nowadays, decision makers are often overwhelmed with large volumes of information, some of which may be inaccurate, incorrect, inappropriate, misleading, or maliciously introduced. With the advocated shift of information sharing paradigm from “need to know” to “need to share” this problem will be further compounded. This poses the challenge of achieving assured information sharing so that decision makers can always get and utilize the up-to-date information for making the right decisions, despite the existence of malicious attacks and without breaching privacy of honest participants. As a first step towards answering this challenge this paper proposes a systematic framework we call TIUPAM, which stands for “Trustworthiness-centric Identity, Usage, Provenance, and Attack Management.” The framework is centered at the need of trustworthiness and risk management for decision makers, and supported by four key components: identity management, usage management, provenance management and attack management. We explore the characterization of both the core functions and the supporting components in the TIUPAM framework, which may guide the design and realization of concrete schemes in the future.

Leveraging human decision making through the optimal management of centralized resources

NASA Astrophysics Data System (ADS)

Hyden, Paul; McGrath, Richard G.

2016-05-01

Combining results from mixed integer optimization, stochastic modeling and queuing theory, we will advance the interdisciplinary problem of efficiently and effectively allocating centrally managed resources. Academia currently fails to address this, as the esoteric demands of each of these large research areas limits work across traditional boundaries. The commercial space does not currently address these challenges due to the absence of a profit metric. By constructing algorithms that explicitly use inputs across boundaries, we are able to incorporate the advantages of using human decision makers. Key improvements in the underlying algorithms are made possible by aligning decision maker goals with the feedback loops introduced between the core optimization step and the modeling of the overall stochastic process of supply and demand. A key observation is that human decision-makers must be explicitly included in the analysis for these approaches to be ultimately successful. Transformative access gives warfighters and mission owners greater understanding of global needs and allows for relationships to guide optimal resource allocation decisions. Mastery of demand processes and optimization bottlenecks reveals long term maximum marginal utility gaps in capabilities.

Multi-Sector Sustainability Browser (MSSB) User Manual: A ...

EPA Pesticide Factsheets

EPA’s Sustainable and Healthy Communities (SHC) Research Program is developing methodologies, resources, and tools to assist community members and local decision makers in implementing policy choices that facilitate sustainable approaches in managing their resources affecting the built environment, natural environment, and human health. In order to assist communities and decision makers in implementing sustainable practices, EPA is developing computer-based systems including models, databases, web tools, and web browsers to help communities decide upon approaches that support their desired outcomes. Communities need access to resources that will allow them to achieve their sustainability objectives through intelligent decisions in four key sustainability areas: • Land Use • Buildings and Infrastructure • Transportation • Materials Management (i.e., Municipal Solid Waste [MSW] processing and disposal) The Multi-Sector Sustainability Browser (MSSB) is designed to support sustainable decision-making for communities, local and regional planners, and policy and decision makers. Document is an EPA Technical Report, which is the user manual for the Multi-Sector Sustainability Browser (MSSB) tool. The purpose of the document is to provide basic guidance on use of the tool for users

From science to action: Principles for undertaking environmental research that enables knowledge exchange and evidence-based decision-making.

PubMed

Cvitanovic, C; McDonald, J; Hobday, A J

2016-12-01

Effective conservation requires knowledge exchange among scientists and decision-makers to enable learning and support evidence-based decision-making. Efforts to improve knowledge exchange have been hindered by a paucity of empirically-grounded guidance to help scientists and practitioners design and implement research programs that actively facilitate knowledge exchange. To address this, we evaluated the Ningaloo Research Program (NRP), which was designed to generate new scientific knowledge to support evidence-based decisions about the management of the Ningaloo Marine Park in north-western Australia. Specifically, we evaluated (1) outcomes of the NRP, including the extent to which new knowledge informed management decisions; (2) the barriers that prevented knowledge exchange among scientists and managers; (3) the key requirements for improving knowledge exchange processes in the future; and (4) the core capacities that are required to support knowledge exchange processes. While the NRP generated expansive and multidisciplinary science outputs directly relevant to the management of the Ningaloo Marine Park, decision-makers are largely unaware of this knowledge and little has been integrated into decision-making processes. A range of barriers prevented efficient and effective knowledge exchange among scientists and decision-makers including cultural differences among the groups, institutional barriers within decision-making agencies, scientific outputs that were not translated for decision-makers and poor alignment between research design and actual knowledge needs. We identify a set of principles to be implemented routinely as part of any applied research program, including; (i) stakeholder mapping prior to the commencement of research programs to identify all stakeholders, (ii) research questions to be co-developed with stakeholders, (iii) implementation of participatory research approaches, (iv) use of a knowledge broker, and (v) tailored knowledge management systems. Finally, we articulate the individual, institutional and financial capacities that must be developed to underpin successful knowledge exchange strategies. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Gradient flux measurements of sea-air DMS transfer during the Surface Ocean Aerosol Production (SOAP) experiment

NASA Astrophysics Data System (ADS)

Smith, Murray J.; Walker, Carolyn F.; Bell, Thomas G.; Harvey, Mike J.; Saltzman, Eric S.; Law, Cliff S.

2018-04-01

Direct measurements of marine dimethylsulfide (DMS) fluxes are sparse, particularly in the Southern Ocean. The Surface Ocean Aerosol Production (SOAP) voyage in February-March 2012 examined the distribution and flux of DMS in a biologically active frontal system in the southwest Pacific Ocean. Three distinct phytoplankton blooms were studied with oceanic DMS concentrations as high as 25 nmol L-1. Measurements of DMS fluxes were made using two independent methods: the eddy covariance (EC) technique using atmospheric pressure chemical ionization-mass spectrometry (API-CIMS) and the gradient flux (GF) technique from an autonomous catamaran platform. Catamaran flux measurements are relatively unaffected by airflow distortion and are made close to the water surface, where gas gradients are largest. Flux measurements were complemented by near-surface hydrographic measurements to elucidate physical factors influencing DMS emission. Individual DMS fluxes derived by EC showed significant scatter and, at times, consistent departures from the Coupled Ocean-Atmosphere Response Experiment gas transfer algorithm (COAREG). A direct comparison between the two flux methods was carried out to separate instrumental effects from environmental effects and showed good agreement with a regression slope of 0.96 (r2 = 0.89). A period of abnormal downward atmospheric heat flux enhanced near-surface ocean stratification and reduced turbulent exchange, during which GF and EC transfer velocities showed good agreement but modelled COAREG values were significantly higher. The transfer velocity derived from near-surface ocean turbulence measurements on a spar buoy compared well with the COAREG model in general but showed less variation. This first direct comparison between EC and GF fluxes of DMS provides confidence in compilation of flux estimates from both techniques, as well as in the stable periods when the observations are not well predicted by the COAREG model.

Antitumour and antiangiogenic activities of [Pt(O,O′‐acac)(γ‐acac)(DMS)] in a xenograft model of human renal cell carcinoma

PubMed Central

Vetrugno, C; Biagioni, F; Calabriso, N; Calierno, M T; Fornai, F; De Pascali, S A; Marsigliante, S; Fanizzi, F P

2016-01-01

Background and Purpose It is thought that the mechanism of action of anticancer chemotherapeutic agents is mainly due to a direct inhibition of tumour cell proliferation. In tumour specimens, the endothelial cell proliferation rate increases, suggesting that the therapeutic effects of anticancer agents could also be attributed to inhibition of tumour angiogenesis. Hence, we investigated the potential effects of [Pt(O,O′‐acac)(γ‐acac)(DMS)] ([Pt(DMS)]), a new platinum drug for non‐genomic targets, on human renal carcinoma and compared them with those of the well‐established anticancer drug, cisplatin. Experimental Approach Tumour growth, tumour cell proliferation and microvessel density were investigated in a xenograft model of renal cell carcinoma, developed by injecting Caki‐1 cells into BALB/c nude mice. The antiangiogenic potential of compounds was also investigated using HUVECs. Key Results Treatment of the Caki‐1 cells with cisplatin or [Pt(DMS)] resulted in a dose‐dependent inhibition of cell survival, but the cytotoxicity of [Pt(DMS)] was approximately fivefold greater than that of cisplatin. [Pt(DMS)] was much more effective than cisplatin at inhibiting tumour growth, proliferation and angiogenesis in vivo, as well as migration, tube formation and MMP1, MMP2 and MMP9 secretion of endothelial cells in vitro. Whereas, cisplatin exerted a greater cytotoxic effect on HUVECs, but did not affect tube formation or the migration of endothelial cells. In addition, treatment of the xenograft mice with [Pt(DMS)] decreased VEGF, MMP1 and MMP2 expressions in tumours. Conclusions and Implications The antiangiogenic and antitumour activities of [Pt(DMS)] provide a solid starting point for its validation as a suitable candidate for further pharmacological testing. PMID:27351124

Antitumour and antiangiogenic activities of [Pt(O,O'-acac)(γ-acac)(DMS)] in a xenograft model of human renal cell carcinoma.

PubMed

Muscella, A; Vetrugno, C; Biagioni, F; Calabriso, N; Calierno, M T; Fornai, F; De Pascali, S A; Marsigliante, S; Fanizzi, F P

2016-09-01

It is thought that the mechanism of action of anticancer chemotherapeutic agents is mainly due to a direct inhibition of tumour cell proliferation. In tumour specimens, the endothelial cell proliferation rate increases, suggesting that the therapeutic effects of anticancer agents could also be attributed to inhibition of tumour angiogenesis. Hence, we investigated the potential effects of [Pt(O,O'-acac)(γ-acac)(DMS)] ([Pt(DMS)]), a new platinum drug for non-genomic targets, on human renal carcinoma and compared them with those of the well-established anticancer drug, cisplatin. Tumour growth, tumour cell proliferation and microvessel density were investigated in a xenograft model of renal cell carcinoma, developed by injecting Caki-1 cells into BALB/c nude mice. The antiangiogenic potential of compounds was also investigated using HUVECs. Treatment of the Caki-1 cells with cisplatin or [Pt(DMS)] resulted in a dose-dependent inhibition of cell survival, but the cytotoxicity of [Pt(DMS)] was approximately fivefold greater than that of cisplatin. [Pt(DMS)] was much more effective than cisplatin at inhibiting tumour growth, proliferation and angiogenesis in vivo, as well as migration, tube formation and MMP1, MMP2 and MMP9 secretion of endothelial cells in vitro. Whereas, cisplatin exerted a greater cytotoxic effect on HUVECs, but did not affect tube formation or the migration of endothelial cells. In addition, treatment of the xenograft mice with [Pt(DMS)] decreased VEGF, MMP1 and MMP2 expressions in tumours. The antiangiogenic and antitumour activities of [Pt(DMS)] provide a solid starting point for its validation as a suitable candidate for further pharmacological testing. © 2016 The British Pharmacological Society.

Dimethyl sulfide dynamics in first-year sea ice melt ponds in the Canadian Arctic Archipelago

NASA Astrophysics Data System (ADS)

Gourdal, Margaux; Lizotte, Martine; Massé, Guillaume; Gosselin, Michel; Poulin, Michel; Scarratt, Michael; Charette, Joannie; Levasseur, Maurice

2018-05-01

Melt pond formation is a seasonal pan-Arctic process. During the thawing season, melt ponds may cover up to 90 % of the Arctic first-year sea ice (FYI) and 15 to 25 % of the multi-year sea ice (MYI). These pools of water lying at the surface of the sea ice cover are habitats for microorganisms and represent a potential source of the biogenic gas dimethyl sulfide (DMS) for the atmosphere. Here we report on the concentrations and dynamics of DMS in nine melt ponds sampled in July 2014 in the Canadian Arctic Archipelago. DMS concentrations were under the detection limit ( < 0.01 nmol L-1) in freshwater melt ponds and increased linearly with salinity (rs = 0.84, p ≤ 0.05) from ˜ 3 up to ˜ 6 nmol L-1 (avg. 3.7 ± 1.6 nmol L-1) in brackish melt ponds. This relationship suggests that the intrusion of seawater in melt ponds is a key physical mechanism responsible for the presence of DMS. Experiments were conducted with water from three melt ponds incubated for 24 h with and without the addition of two stable isotope-labelled precursors of DMS (dimethylsulfoniopropionate), (D6-DMSP) and dimethylsulfoxide (13C-DMSO). Results show that de novo biological production of DMS can take place within brackish melt ponds through bacterial DMSP uptake and cleavage. Our data suggest that FYI melt ponds could represent a reservoir of DMS available for potential flux to the atmosphere. The importance of this ice-related source of DMS for the Arctic atmosphere is expected to increase as a response to the thinning of sea ice and the areal and temporal expansion of melt ponds on Arctic FYI.

Usability of a novel digital medicine system in adults with schizophrenia treated with sensor-embedded tablets of aripiprazole.

PubMed

Peters-Strickland, Timothy; Pestreich, Linda; Hatch, Ainslie; Rohatagi, Shashank; Baker, Ross A; Docherty, John P; Markovtsova, Lada; Raja, Praveen; Weiden, Peter J; Walling, David P

2016-01-01

Digital medicine system (DMS) is a novel drug-device combination that objectively measures and reports medication ingestion. The DMS consists of medication embedded with an ingestible sensor (digital medicine), a wearable sensor, and software applications. This study evaluated usability of the DMS in adults with schizophrenia rated by both patients and their health care providers (HCPs) during 8-week treatment with prescribed doses of digital aripiprazole. Six US sites enrolled outpatients into this Phase IIa, open-label study (NCT02219009). The study comprised a screening phase, a training phase (three weekly site visits), and a 5-week independent phase. Patients and HCPs independently rated usability of and satisfaction with the DMS. Sixty-seven patients were enrolled, and 49 (73.1%) patients completed the study. The mean age (SD) of the patients was 46.6 years (9.7 years); the majority of them were male (74.6%), black (76.1%), and rated mildly ill on the Clinical Global Impression - Severity scale (70.1%). By the end of week 8 or early termination, 82.1% (55/67) of patients had replaced the wearable sensor independently or with minimal assistance, based on HCP rating. The patients used the wearable sensor for a mean (SD) of 70.7% (24.7%) and a median of 77.8% of their time in the trial. The patients contacted a call center most frequently at week 1. At the last visit, 78% (47/60) of patients were somewhat satisfied/satisfied/extremely satisfied with the DMS. A high proportion of patients with schizophrenia were able to use the DMS and reported satisfaction with the DMS. These data support the potential utility of the DMS in clinical practice.

Effective Decision Maker-Scientist Engagement:Climate Change Vulnerability Analysis of California's Water System to Using Decision Scaling.

NASA Astrophysics Data System (ADS)

Schwarz, A. M.; Ray, P.; Brown, C.; Wi, S.

2016-12-01

For nearly 2 years the California Department of Water Resources (CDWR) has been working with the University of Massachusetts Amherst (UMass) to evaluate climate change vulnerabilities to the California State Water Project. Working cooperatively, the team has developed tools and methods to employ a decision scaling approach to CDWR's existing water system model (CalSim-II/CalLite 3.0). This presentation will discuss how and why this partnership came to be, the co-production model the team has developed to share expertise, the new understanding of the system that has been gained through the process, and current and future efforts to influence planning and investments based on the findings of the work. This cooperative decision-maker-with-scientist engagement is unique in that CDWR has not outsourced the application of the science to their systems, and instead has worked directly with UMass researchers to develop the process, produce results, and interpret findings. Further, CDWR staff has worked with UMass researchers to present results in ways that are more useable and actionable for decision-makers. As will be shown, many of these graphics allow the team to use the science differently to improve decision making.

Finding common ground to achieve a “good death”: family physicians working with substitute decision-makers of dying patients. A qualitative grounded theory study

PubMed Central

2013-01-01

Background Substitute decision-makers are integral to the care of dying patients and make many healthcare decisions for patients. Unfortunately, conflict between physicians and surrogate decision-makers is not uncommon in end-of-life care and this could contribute to a “bad death” experience for the patient and family. We aim to describe Canadian family physicians’ experiences of conflict with substitute decision-makers of dying patients to identify factors that may facilitate or hinder the end-of-life decision-making process. This insight will help determine how to best manage these complex situations, ultimately improving the overall care of dying patients. Methods Grounded Theory methodology was used with semi-structured interviews of family physicians in Edmonton, Canada, who experienced conflict with substitute decision-makers of dying patients. Purposeful sampling included maximum variation and theoretical sampling strategies. Interviews were audio-taped, and transcribed verbatim. Transcripts, field notes and memos were coded using the constant-comparative method to identify key concepts until saturation was achieved and a theoretical framework emerged. Results Eleven family physicians with a range of 3 to 40 years in clinical practice participated. The family physicians expressed a desire to achieve a “good death” and described their role in positively influencing the experience of death. Finding Common Ground to Achieve a “Good Death” for the Patient emerged as an important process which includes 1) Building Mutual Trust and Rapport through identifying key players and delivering manageable amounts of information, 2) Understanding One Another through active listening and ultimately, and 3) Making Informed, Shared Decisions. Facilitators and barriers to achieving Common Ground were identified. Barriers were linked to conflict. The inability to resolve an overt conflict may lead to an impasse at any point. A process for Resolving an Impasse is described. Conclusions A novel framework for developing Common Ground to manage conflicts during end-of-life decision-making discussions may assist in achieving a “good death”. These results could aid in educating physicians, learners, and the public on how to achieve productive collaborative relationships during end-of-life decision-making for dying patients, and ultimately improve their deaths. PMID:23339822

Why do verification and validation?

DOE PAGES

Hu, Kenneth T.; Paez, Thomas L.

2016-02-19

In this discussion paper, we explore different ways to assess the value of verification and validation (V&V) of engineering models. We first present a literature review on the value of V&V and then use value chains and decision trees to show how value can be assessed from a decision maker's perspective. In this context, the value is what the decision maker is willing to pay for V&V analysis with the understanding that the V&V results are uncertain. As a result, the 2014 Sandia V&V Challenge Workshop is used to illustrate these ideas.

Removal of dimethyl sulfide by the combination of non-thermal plasma and biological process.

PubMed

Wei, Z S; Li, H Q; He, J C; Ye, Q H; Huang, Q R; Luo, Y W

2013-10-01

A bench scale system integrated with a non-thermal plasma (NTP) and a biotricking filtration (BTF) unit for the treatment of gases containing dimethyl sulfide (DMS) was investigated. DMS removal efficiency in the integrated system was up to 96%. Bacterial communities in the BTF were assessed by PCR-DGGE, which play the dominant role in the biological processes of metabolism, sulfur oxidation, sulfate-reducing and carbon oxidation. The addition of ozone from NTP made microbial community in BTF more complicated and active for DMS removal. The NTP oxidize DMS to simple compounds such as methanol and carbonyl sulfide; the intermediate organic products and DMS are further oxidized to sulfate, carbon dioxide, water vapors by biological degradation. These results show that NTP-BTF is achievable and open new possibilities for applying the integrated with NTP and BTF to odour gas treatment. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Factors controlling sulfur gas exchange in Sphagnum-dominated wetlands

NASA Technical Reports Server (NTRS)

Demello, William Zamboni; Hines, Mark E.; Bayley, Suzanne E.

1992-01-01

Atmosphere-peatland exchange of reduced sulfur gases was determined seasonally in fen in NH, and in an artificially-acidified fen at the Experimental Lakes Area (ELA) in Canada. Dimethyl sulfide (DMS) dominated gas fluxes at rates as high as 400 nmol/m(sup -2)hr(sup -1). DMS fluxes measured using enclosures were much higher than those calculated using a stagnant-film model, suggesting that Sphagnum regulated efflux. Temperature controlled diel and seasonal variability in DMS emissions. Use of differing enclosure techniques indicated that vegetated peatlands consume atmospheric carbonyl sulfide. Sulfate amendments caused DMS and methane thiol concentrations in near-surface pore waters to increase rapidly, but fluxes of these gases to the atmosphere were not affected. However, emission data from sites experiencing large differences in rates of sulfate deposition from the atmosphere suggested that chronic elevated sulfate inputs enhance DMS emissions from northern wetlands.

Youth Advocacy as a Tool for Environmental and Policy Changes That Support Physical Activity and Nutrition: An Evaluation Study in San Diego County

PubMed Central

Edwards, Christine C.; Woodruff, Susan I.; Millstein, Rachel A.; Moder, Cheryl

2014-01-01

Background As evidence grows about the benefits of policy and environmental changes to support active living and healthy eating, effective tools for implementing change must be developed. Youth advocacy, a successful strategy in the field of tobacco control, should be evaluated for its potential in the field of obesity prevention. Community Context San Diego State University collaborated with the San Diego County Childhood Obesity Initiative to evaluate Youth Engagement and Action for Health! (YEAH!), a youth advocacy project to engage youth and adult mentors in advocating for neighborhood improvements in physical activity and healthy eating opportunities. Study objectives included documenting group process and success of groups in engaging in community advocacy with decision makers. Methods In 2011 and 2012, YEAH! group leaders were recruited from the San Diego County Childhood Obesity Initiative’s half-day train-the-trainer seminars for adult leaders. Evaluators collected baseline and postproject survey data from youth participants and adult group leaders and interviewed decision makers. Outcomes Of the 21 groups formed, 20 completed the evaluation, conducted community assessments, and advocated with decision makers. Various types of decision makers were engaged, including school principals, food service personnel, city council members, and parks and recreation officials. Eleven groups reported change(s) implemented as a result of their advocacy, 4 groups reported changes pending, and 5 groups reported no change as a result of their efforts. Interpretation Even a brief training session, paired with a practical manual, technical assistance, and commitment of adult leaders and youth may successfully engage decision makers and, ultimately, bring about change. PMID:24674636

Framing bioremediation decision making as negotiation: Rationale & guidelineFraming bioremediation decision making as negotiation: Rationale & guidelines

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bjornstad, David J.; Wolfe, Amy K.

Framing remediation decision making as negotiation: (1) social choice, not technology choice; (2) prompts decision makers to identify interested and affected parties, anticipate objections, effectively address and ameliorate objections, and avoid unacceptable decisions.

Using an innovative criteria weighting tool for stakeholders involvement to rank MSW facility sites with the AHP.

PubMed

De Feo, Giovanni; De Gisi, Sabino

2010-11-01

The main aim of this study was to verify the efficacy of using an innovative criteria weighting tool (the "priority scale") for stakeholders involvement to rank a list of suitable municipal solid waste (MSW) facility sites with the multi-criteria decision-making (MCDM) technique known as analytic hierarchy process (AHP). One of the main objectives of the study was to verify the behaviour of the "priority scale" with both technical and non-technical decision-makers. All over the world, the siting of MSW treatment or disposal plants is a complex process involving politicians, technicians as well as citizens, where stakeholders who are not effectively involved strongly oppose (or even obstruct) the realization of new facilities. In this study, in order to pursue both the technical (select the best site) and social aims (all the stakeholders have to give their aware contribution), the use of the "priority scale" is suggested as a tool to easily collect non-contradictory criteria preferences by the various decision-makers. Every decision-maker filled in "priority scale", which was subsequently uploaded in the AHP tool in order to indirectly calculate the individual priority of alternatives given by each stakeholder (not using group aggregation techniques). The proposed method was applied to the siting of a composting plant in an area suffering from a serious MSW emergency, which has lasted for over 15 years, in the Campania Region, in Southern Italy. The best site (the "first choice") was taken as the one that appeared the most times at the first place of each decision-maker ranking list. The involved technical and non-technical decision-makers showed the same behaviour in (indirectly) selecting the best site as well as in terms of the most appraised criteria ("absence of areas of the highest value for natural habitats and species of plants and animals"). Moreover, they showed the same AHP inconsistency ratio as well as the same behaviour in comparison with a "balanced decision-maker" (who assigns identical weights to all the considered criteria). Therefore, the proposed criteria weighting tool could be widely as well as easily used for stakeholders involvement to rank MSW facility sites (or other kinds of alternatives) with the AHP or with other MCDM techniques, taking or not into consideration group aggregation methods. Copyright © 2010 Elsevier Ltd. All rights reserved.

Analysis of Multi-Criteria Evaluation Method of Landfill Site Selection for Municipal Solid Waste Management

NASA Astrophysics Data System (ADS)

Mohammed, Habiba Ibrahim; Majid, Zulkepli; Yusof, Norhakim Bin; Bello Yamusa, Yamusa

2018-03-01

Landfilling remains the most common systematic technique of solid waste disposal in most of the developed and developing countries. Finding a suitable site for landfill is a very challenging task. Landfill site selection process aims to provide suitable areas that will protect the environment and public health from pollution and hazards. Therefore, various factors such as environmental, physical, socio-economic, and geological criteria must be considered before siting any landfill. This makes the site selection process vigorous and tedious because it involves the processing of large amount of spatial data, rules and regulations from different agencies and also policy from decision makers. This allows the incorporation of conflicting objectives and decision maker preferences into spatial decision models. This paper particularly analyzes the multi-criteria evaluation (MCE) method of landfill site selection for solid waste management by means of literature reviews and surveys. The study will help the decision makers and waste management authorities to choose the most effective method when considering landfill site selection.

Data and monitoring needs for a more ecological agriculture

NASA Astrophysics Data System (ADS)

Zaks, David P. M.; Kucharik, Christopher J.

2011-01-01

Information on the life-cycle environmental impacts of agricultural production is often limited. As demands grow for increasing agricultural output while reducing its negative environmental impacts, both existing and novel data sources can be leveraged to provide more information to producers, consumers, scientists and policy makers. We review the components and organization of an agroecological sensor web that integrates remote sensing technologies and in situ sensors with models in order to provide decision makers with effective management options at useful spatial and temporal scales for making more informed decisions about agricultural productivity while reducing environmental burdens. Several components of the system are already in place, but by increasing the extent and accessibility of information, decision makers will have the opportunity to enhance food security and environmental quality. Potential roadblocks to implementation include farmer acceptance, data transparency and technology deployment.

A critical review of recent US market level health care strategy literature.

PubMed

Wells, R; Banaszak-Holl, J

2000-09-01

In this review, we argue that it would be profitable if the neoclassical economic theories that have dominated recent US market level health care strategy research could be complemented by greater use of sociological frameworks. Sociological theory can address three central questions that neoclassical economic theories have tended to slight: (1) how decision-makers' preferences are determined; (2) who the decision-makers are; and (3) how decision-makers' plans are translated into organizational action. We suggest five sociological frameworks that would enable researchers to address these issues better relative to market level strategy in health care. The frameworks are (1) institutional theory, (2) organizational ecology, (3) social movements, (4) social networks, and (5) internal organizational change. A recent global trend toward privatization of health care provision makes US market level strategy research increasingly applicable to non-US readers.

Water Planning in Phoenix: Managing Risk in the Face of Climatic Uncertainty

NASA Astrophysics Data System (ADS)

Gober, P.

2009-12-01

The Decision Center for a Desert City (DCDC) was founded in 2004 to develop scientifically-credible support tools to improve water management decisions in the face of growing climatic uncertainty and rapid urbanization in metropolitan Phoenix. At the center of DCDC's effort is WaterSim, a model that integrates information about water supply from groundwater, the Colorado River, and upstream watersheds and water demand from land use change and population growth. Decision levers enable users to manipulate model outcomes in response to climate change scenarios, drought conditions, population growth rates, technology innovations, lifestyle changes, and policy decisions. WaterSim allows users to examine the risks of water shortage from global climate change, the tradeoffs between groundwater sustainability and lifestyle choices, the effects of various policy decisions, and the consequences of delaying policy for the exposure to risk. WaterSim is an important point of contact for DCDC’s relationships with local decision makers. Knowledge, tools, and visualizations are co-produced—by scientists and policy makers, and the Center’s social scientists mine this co-production process for new insights about model development and application. WaterSim is less a static scientific product and more a dynamic process of engagement between decision makers and scientists.

Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers.

PubMed

Steingroever, Helen; Pachur, Thorsten; Šmíra, Martin; Lee, Michael D

2018-06-01

The Iowa Gambling Task (IGT) is one of the most popular experimental paradigms for comparing complex decision-making across groups. Most commonly, IGT behavior is analyzed using frequentist tests to compare performance across groups, and to compare inferred parameters of cognitive models developed for the IGT. Here, we present a Bayesian alternative based on Bayesian repeated-measures ANOVA for comparing performance, and a suite of three complementary model-based methods for assessing the cognitive processes underlying IGT performance. The three model-based methods involve Bayesian hierarchical parameter estimation, Bayes factor model comparison, and Bayesian latent-mixture modeling. We illustrate these Bayesian methods by applying them to test the extent to which differences in intuitive versus deliberate decision style are associated with differences in IGT performance. The results show that intuitive and deliberate decision-makers behave similarly on the IGT, and the modeling analyses consistently suggest that both groups of decision-makers rely on similar cognitive processes. Our results challenge the notion that individual differences in intuitive and deliberate decision styles have a broad impact on decision-making. They also highlight the advantages of Bayesian methods, especially their ability to quantify evidence in favor of the null hypothesis, and that they allow model-based analyses to incorporate hierarchical and latent-mixture structures.

A preliminary psychometric evaluation of the eight-item cognitive load scale.

PubMed

Pignatiello, Grant A; Tsivitse, Emily; Hickman, Ronald L

2018-04-01

The aim of this article is to report the psychometric properties of the eight-item cognitive load scale. According to cognitive load theory, the formatting and delivery of healthcare education influences the degree to which patients and/or family members can engage their working memory systems for learning. However, despite its relevance, cognitive load has not yet been evaluated among surrogate decision makers exposed to electronic decision support for healthcare decisions. To date, no psychometric analyses of instruments evaluating cognitive load have been reported within healthcare settings. A convenience sample of 62 surrogate decision makers for critically ill patients were exposed to one of two healthcare decision support interventions were recruited from four intensive care units at a tertiary medical center in Northeast Ohio. Participants were administered a battery of psychosocial instruments and the eight-item cognitive load scale (CLS). The CLS demonstrated a bidimensional factor structure with acceptable discriminant validity and internal consistency reliability (Cronbach's α = 0.75 and 0.89). The CLS is a psychometrically sound instrument that may be used in the evaluation of decision support among surrogate decision makers of the critically ill. The authors recommend application of the cognitive load scale in the evaluation and development of healthcare education and interventions. Copyright © 2018 Elsevier Inc. All rights reserved.

Regulating Emotions during Difficult Multiattribute Decision Making: The Role of Pre-Decisional Coherence Shifting.

PubMed

Carpenter, Stephanie M; Yates, J Frank; Preston, Stephanie D; Chen, Lydia

2016-01-01

Almost all real-life decisions entail attribute conflict; every serious choice alternative is better than its competitors on some attribute dimensions but worse on others. In pre-decisional "coherence shifting," the decision maker gradually softens that conflict psychologically to the point where one alternative is seen as dominant over its competitors, or nearly so. Specifically, weaknesses of the eventually chosen alternative come to be perceived as less severe and less important while its strengths seem more desirable and significant. The research described here demonstrates that difficult multiattribute decision problems are aversive and that pre-decisional coherence shifting aids individuals in regulating that emotional discomfort. Across three studies, attribute conflict was confirmed to be aversive (Study 1), and skin conductance responses and ratings of decision difficulty both decreased in participants who coherence shifted (Study 2). Coherence shifting was also diminished among decision makers who were depleted of regulatory resources, known to be required for common emotion regulation mechanisms. Further, coherence shifting was shown to be relatively common among people who reported strong suppression tendencies in everyday emotion regulation (Study 3). Overall, the data suggest that, at least in part, coherence shifting serves as a tool that helps decision makers manage the pre-decisional discomfort generated by attribute conflict. Theoretical and practical implications are discussed.

Regulating Emotions during Difficult Multiattribute Decision Making: The Role of Pre-Decisional Coherence Shifting

PubMed Central

Carpenter, Stephanie M.; Yates, J. Frank; Preston, Stephanie D.; Chen, Lydia

2016-01-01

Almost all real-life decisions entail attribute conflict; every serious choice alternative is better than its competitors on some attribute dimensions but worse on others. In pre-decisional “coherence shifting,” the decision maker gradually softens that conflict psychologically to the point where one alternative is seen as dominant over its competitors, or nearly so. Specifically, weaknesses of the eventually chosen alternative come to be perceived as less severe and less important while its strengths seem more desirable and significant. The research described here demonstrates that difficult multiattribute decision problems are aversive and that pre-decisional coherence shifting aids individuals in regulating that emotional discomfort. Across three studies, attribute conflict was confirmed to be aversive (Study 1), and skin conductance responses and ratings of decision difficulty both decreased in participants who coherence shifted (Study 2). Coherence shifting was also diminished among decision makers who were depleted of regulatory resources, known to be required for common emotion regulation mechanisms. Further, coherence shifting was shown to be relatively common among people who reported strong suppression tendencies in everyday emotion regulation (Study 3). Overall, the data suggest that, at least in part, coherence shifting serves as a tool that helps decision makers manage the pre-decisional discomfort generated by attribute conflict. Theoretical and practical implications are discussed. PMID:26986752

Decision making in recurrent neuronal circuits.

PubMed

Wang, Xiao-Jing

2008-10-23

Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.

Creating dialogue: a workshop on "Uncertainty in Decision Making in a Changing Climate"

NASA Astrophysics Data System (ADS)

Ewen, Tracy; Addor, Nans; Johnson, Leigh; Coltekin, Arzu; Derungs, Curdin; Muccione, Veruska

2014-05-01

Uncertainty is present in all fields of climate research, spanning from projections of future climate change, to assessing regional impacts and vulnerabilities, to adaptation policy and decision-making. In addition to uncertainties, managers and planners in many sectors are often confronted with large amounts of information from climate change research whose complex and interdisciplinary nature make it challenging to incorporate into the decision-making process. An overarching issue in tackling this problem is the lack of institutionalized dialogue between climate researchers, decision-makers and user groups. Forums that facilitate such dialogue would allow climate researchers to actively engage with end-users and researchers in different disciplines to better characterize uncertainties and ultimately understand which ones are critically considered and incorporated into decisions made. We propose that the introduction of students to these challenges at an early stage of their education and career is a first step towards improving future dialogue between climate researchers, decision-makers and user groups. To this end, we organized a workshop at the University of Zurich, Switzerland, entitled "Uncertainty in Decision Making in a Changing Climate". It brought together 50 participants, including Bachelor, Master and PhD students and academic staff, and nine selected speakers from academia, industry, government, and philanthropy. Speakers introduced participants to topics ranging from uncertainties in climate model scenarios to managing uncertainties in development and aid agencies. The workshop consisted of experts' presentations, a panel discussion and student group work on case studies. Pedagogical goals included i) providing participants with an overview of the current research on uncertainty and on how uncertainty is dealt with by decision-makers, ii) fostering exchange between practitioners, students, and scientists from different backgrounds, iii) exposing students, at an early stage of their professional life, to multidisciplinary collaborations and real-world problems involving decisions under uncertainty. An opinion survey conducted before and after the workshop enabled us to observe changes in participants' perspectives on what information and tools should be exchanged between researchers and decision-makers to better address uncertainty. Responses demonstrated a marked shift from a pre-workshop vertical conceptualizations of researcher—user group interaction to a post-workshop horizontal mode: in the former, researchers were portrayed as bestowing data-based products to decision-makers, while in the latter, both sets of actors engaged in institutionalized dialogues and frequent communication, exchanging their needs, expertise, and personnel. In addition to the survey, we will draw on examples from the course evaluation to illustrate the strengths and weaknesses of our approach. By doing so, we seek to encourage the organization of similar events by other universities, with the mid-term goal to improve future dialogue. From a pedagogical perspective, introducing students to these ideas at a very early stage in their research careers is an ideal opportunity to establish new modes of communication with an interdisciplinary perspective and strengthen dialogue between climate researchers, decision-makers and user groups.

Automated Peak Detection and Matching Algorithm for Gas Chromatography–Differential Mobility Spectrometry

PubMed Central

Fong, Sim S.; Rearden, Preshious; Kanchagar, Chitra; Sassetti, Christopher; Trevejo, Jose; Brereton, Richard G.

2013-01-01

A gas chromatography–differential mobility spectrometer (GC-DMS) involves a portable and selective mass analyzer that may be applied to chemical detection in the field. Existing approaches examine whole profiles and do not attempt to resolve peaks. A new approach for peak detection in the 2D GC-DMS chromatograms is reported. This method is demonstrated on three case studies: a simulated case study; a case study of headspace gas analysis of Mycobacterium tuberculosis (MTb) cultures consisting of three matching GC-DMS and GC-MS chromatograms; a case study consisting of 41 GC-DMS chromatograms of headspace gas analysis of MTb culture and media. PMID:21204557

Spacelab data management subsystem phase B study

NASA Technical Reports Server (NTRS)

1974-01-01

The Spacelab data management system is described. The data management subsystem (DMS) integrates the avionics equipment into an operational system by providing the computations, logic, signal flow, and interfaces needed to effectively command, control, monitor, and check out the experiment and subsystem hardware. Also, the DMS collects/retrieves experiment data and other information by recording and by command of the data relay link to ground. The major elements of the DMS are the computer subsystem, data acquisition and distribution subsystem, controls and display subsystem, onboard checkout subsystem, and software. The results of the DMS portion of the Spacelab Phase B Concept Definition Study are analyzed.

DMS cyclone separation processes for optimization of plastic wastes recycling and their implications.

PubMed

Gent, Malcolm Richard; Menendez, Mario; Toraño, Javier; Torno, Susana

2011-06-01

It is demonstrated that substantial reductions in plastics presently disposed of in landfills can be achieved by cyclone density media separation (DMS). In comparison with the size fraction of plastics presently processed by industrial density separations (generally 6.4 to 9.5 mm), cyclone DMS methods are demonstrated to effectively process a substantially greater range of particle sizes (from 0.5 up to 120 mm). The purities of plastic products and recoveries obtained with a single stage separation using a cylindrical cyclone are shown to attain virtually 100% purity and recoveries >99% for high-density fractions and >98% purity and recoveries were obtained for low-density products. Four alternative schemas of multi-stage separations are presented and analyzed as proposed methods to obtain total low- and high-density plastics fraction recoveries while maintaining near 100% purities. The results of preliminary tests of two of these show that the potential for processing product purities and recoveries >99.98% of both density fractions are indicated. A preliminary economic comparison of capital costs of DMS systems suggests cyclone DMS methods to be comparable with other DMS processes even if the high volume capacity for recycling operations of these is not optimized.

Application of Tandem Two-Dimensional Mass Spectrometry for Top-Down Deep Sequencing of Calmodulin.

PubMed

Floris, Federico; Chiron, Lionel; Lynch, Alice M; Barrow, Mark P; Delsuc, Marc-André; O'Connor, Peter B

2018-06-04

Two-dimensional mass spectrometry (2DMS) involves simultaneous acquisition of the fragmentation patterns of all the analytes in a mixture by correlating their precursor and fragment ions by modulating precursor ions systematically through a fragmentation zone. Tandem two-dimensional mass spectrometry (MS/2DMS) unites the ultra-high accuracy of Fourier transform ion cyclotron resonance (FT-ICR) MS/MS and the simultaneous data-independent fragmentation of 2DMS to achieve extensive inter-residue fragmentation of entire proteins. 2DMS was recently developed for top-down proteomics (TDP), and applied to the analysis of calmodulin (CaM), reporting a cleavage coverage of about ~23% using infrared multiphoton dissociation (IRMPD) as fragmentation technique. The goal of this work is to expand the utility of top-down protein analysis using MS/2DMS in order to extend the cleavage coverage in top-down proteomics further into the interior regions of the protein. In this case, using MS/2DMS, the cleavage coverage of CaM increased from ~23% to ~42%. Graphical Abstract Two-dimensional mass spectrometry, when applied to primary fragment ions from the source, allows deep-sequencing of the protein calmodulin.

Contributions of dorsal striatal subregions to spatial alternation behavior.

PubMed

Moussa, Roula; Poucet, Bruno; Amalric, Marianne; Sargolini, Francesca

2011-07-01

Considerable evidence has shown a clear dissociation between the dorsomedial (DMS) and the dorsolateral (DLS) striatum in instrumental conditioning. In particular, DMS activity is necessary to form action-outcome associations, whereas the DLS is required for developing habitual behavior. However, few studies have investigated whether a similar dissociation exists in more complex goal-directed learning processes. The present study examined the role of the two structures in such complex learning by analyzing the effects of excitotoxic DMS and DLS lesions during the acquisition and extinction of spatial alternation behavior, in a continuous alternation T-maze task. We demonstrate that DMS and DLS lesions have opposite effects, the former impairing and the latter improving animal performance during learning and extinction. DMS lesions may impair the acquisition of spatial alternation behavior by disrupting the signal necessary to link a goal with a specific spatial sequence. In contrast, DLS lesions may accelerate goal-driven strategies by minimizing the influence of external stimuli on the response, thus increasing the impact of action-reward contingencies. Taken together, these results suggest that DMS- and DLS-mediated learning strategies develop in parallel and compete for the control of the behavioral response early in learning.

Characterization of ion processes in a GC/DMS air quality monitor by integration of the instrument to a mass spectrometer.

PubMed

Limero, T F; Nazarov, E G; Menlyadiev, M; Eiceman, G A

2015-02-07

The air quality monitor (AQM), which included a portable gas chromatograph (GC) and a detector was interfaced to a mass spectrometer (MS) by introducing flow from the GC detector to the atmospheric pressure ion source of the MS. This small GC system, with a gas recirculation loop for carrier and detector make-up gases, comprised an inlet to preconcentrate volatile organic compounds (VOCs) in air, a thermal desorber before the GC column, a differential mobility spectrometer (DMS), and another DMS as an atmospheric pressure ionization source for the MS. Return flow to the internally recirculated air system of the AQM's DMS was replenished using purified air. Although ions and unreacted neutral vapors flowed from the detector through Viton® tubing into the source of the MS, ions were not detected in the MS without the auxillary ion source, (63)Ni as in the mobility detector. The GC-DMS-MS instrument provided a 3-D measurement platform (GC, DMS, and MS analysis) to explore the gas composition inside the GC-DMS recirculation loop and provide DMS-MS measurement of the components of a complex VOC mixture with performance significantly enhanced by mass-analysis, either with mass spectral scans or with an extracted ion chromatogram. This combination of a mobility spectrometer and a mass spectrometer was possible as vapors and ions are carried together through the DMS analyzer, thereby preserving the chromatographic separation efficiency. The critical benefit of this instrument concept is that all flows in and through the thoroughly integrated GC-DMS analyzer are kept intact allowing a full measure of the ion and vapor composition in the complete system. Performance has been evaluated using a synthetic air sample and a sample of airborne vapors in a laboratory. Capabilities and performance values are described using results from AQM-MS analysis of purified air, ambient air from a research laboratory in a chemistry building, and a sample of synthetic air of known composition. Quantitative measures of a stand-alone AQM are disclosed for VOCs in the ppb to ppm levels with an average precision of 5.8% RSD and accuracy from 4% to 28% error against a standard method.

Interacting effects of ocean acidification and warming on growth and DMS-production in the haptophyte coccolithophore Emiliania huxleyi.

PubMed

Arnold, Hayley E; Kerrison, Philip; Steinke, Michael

2013-04-01

The production of the marine trace gas dimethyl sulfide (DMS) provides 90% of the marine biogenic sulfur in the atmosphere where it affects cloud formation and climate. The effects of increasing anthropogenic CO2 and the resulting warming and ocean acidification on trace gas production in the oceans are poorly understood. Here we report the first measurements of DMS-production and data on growth, DMSP and DMS concentrations in pH-stated cultures of the phytoplankton haptophyte Emiliania huxleyi. Four different environmental conditions were tested: ambient, elevated CO2 (+CO2 ), elevated temperature (+T) and elevated temperature and CO2 (+TCO2 ). In comparison to the ambient treatment, average DMS production was about 50% lower in the +CO2 treatment. Importantly, temperature had a strong effect on DMS production and the impacts outweighed the effects of a decrease in pH. As a result, the +T and +TCO2 treatments showed significantly higher DMS production of 36.2 ± 2.58 and 31.5 ± 4.66 μmol L(-1) cell volume (CV) h(-1) in comparison with the +CO2 treatment (14.9 ± 4.20 μmol L(-1) CV h(-1) ). As the cultures were aerated with an air/CO2 mixture, DMS was effectively removed from the incubation bottles so that concentration remained relatively low (3.6-6.1 mmol L(-1) CV). Intracellular DMSP has been shown to increase in E. huxleyi as a result of elevated temperature and/or elevated CO2 and our results are in agreement with this finding: the ambient and +CO2 treatments showed 125 ± 20.4 and 162 ± 27.7 mmol L(-1) CV, whereas +T and +TCO2 showed significantly increased intracellular DMSP concentrations of 195 ± 15.8 and 211 ± 28.2 mmol L(-1) CV respectively. Growth was unaffected by the treatments, but cell diameter decreased significantly under elevated temperature. These results indicate that DMS production is sensitive to CO2 and temperature in E. huxleyi. Hence, global environmental change that manifests in ocean acidification and warming may not result in decreased DMS as suggested by earlier studies investigating the effect of elevated CO2 in isolation. © 2012 Blackwell Publishing Ltd.

Quality Psychological Advice for Teachers, Parents/Carers and LEA Decision-Makers with Respect to Children and Young People with Special Needs

ERIC Educational Resources Information Center

Cameron, R. J. (Sean); Monsen, Jeremy J.

2005-01-01

The main aim of this paper is to describe a working protocol which can offer practising educational psychologists a rational framework within which to investigate and understand the complex problems of children and young people in school and to provide appropriate advice to teachers, parents/carers and LEA decision makers on how they can best…

Work-Based Learning: A Practical Approach for Learning to Work and Working to Learn. A Case Study on Decision-Makers' Professional Development in Iran

ERIC Educational Resources Information Center

Arani, Mohammad Reza Sarkar; Alagamandan, Jafar; Tourani, Heidar

2004-01-01

The work-based learning model of human resource development has captured a great deal of attention and has gained increasing importance in higher education in recent years. Work-based learning is a powerful phenomenon that attempts to help policy-makers, managers and curriculum developers improve the quality of the decision and organizational…

Shrinking Sea Ice, Thawing Permafrost, Bigger Storms, and Extremely Limited Data - Addressing Information Needs of Stakeholders in Western Alaska Through Participatory Decisions and Collaborative Science.

NASA Astrophysics Data System (ADS)

Murphy, K. A.; Reynolds, J.

2015-12-01

Communities, Tribes, and decision makers in coastal western Alaska are being impacted by declining sea ice, sea level rise, changing storm patterns and intensities, and increased rates of coastal erosion. Relative to their counterparts in the contiguous USA, their ability to plan for and respond to these changes is constrained by the region's generally meager or non-existent information base. Further, the information needs and logistic challenges are of a scale that perhaps can be addressed only through strong, strategic collaboration. Landscape Conservation Cooperatives (LCCs) are fundamentally about applied science and collaboration, especially collaborative decision making. The Western Alaska LCC has established a process of participatory decision making that brings together researchers, agency managers, local experts from Tribes and field specialists to identify and prioritize shared information needs; develop a course of action to address them by using the LCC's limited resources to catalyze engagement, overcome barriers to progress, and build momentum; then ensure products are delivered in a manner that meets decision makers' needs. We briefly review the LCC's activities & outcomes from the stages of (i) collaborative needs assessment (joint with the Alaska Climate Science Center and the Alaska Ocean Observing System), (ii) strategic science activities, and (iii) product refinement and delivery. We discuss lessons learned, in the context of our recent program focused on 'Changes in Coastal Storms and Their Impacts' and current collaborative efforts focused on delivery of Coastal Resiliency planning tools and results from applied science projects. Emphasis is given to the various key interactions between scientists and decision makers / managers that have been promoted by this process to ensure alignment of final products to decision maker needs.

Achieving conservation science that bridges the knowledge-action boundary.

PubMed

Cook, Carly N; Mascia, Michael B; Schwartz, Mark W; Possingham, Hugh P; Fuller, Richard A

2013-08-01

There are many barriers to using science to inform conservation policy and practice. Conservation scientists wishing to produce management-relevant science must balance this goal with the imperative of demonstrating novelty and rigor in their science. Decision makers seeking to make evidence-based decisions must balance a desire for knowledge with the need to act despite uncertainty. Generating science that will effectively inform management decisions requires that the production of information (the components of knowledge) be salient (relevant and timely), credible (authoritative, believable, and trusted), and legitimate (developed via a process that considers the values and perspectives of all relevant actors) in the eyes of both researchers and decision makers. We perceive 3 key challenges for those hoping to generate conservation science that achieves all 3 of these information characteristics. First, scientific and management audiences can have contrasting perceptions about the salience of research. Second, the pursuit of scientific credibility can come at the cost of salience and legitimacy in the eyes of decision makers, and, third, different actors can have conflicting views about what constitutes legitimate information. We highlight 4 institutional frameworks that can facilitate science that will inform management: boundary organizations (environmental organizations that span the boundary between science and management), research scientists embedded in resource management agencies, formal links between decision makers and scientists at research-focused institutions, and training programs for conservation professionals. Although these are not the only approaches to generating boundary-spanning science, nor are they mutually exclusive, they provide mechanisms for promoting communication, translation, and mediation across the knowledge-action boundary. We believe that despite the challenges, conservation science should strive to be a boundary science, which both advances scientific understanding and contributes to decision making. © 2013 Society for Conservation Biology.

Seeing the forests and the trees—innovative approaches to exploring heterogeneity in systematic reviews of complex interventions to enhance health system decision-making: a protocol

PubMed Central

2014-01-01

Background To improve quality of care and patient outcomes, health system decision-makers need to identify and implement effective interventions. An increasing number of systematic reviews document the effects of quality improvement programs to assist decision-makers in developing new initiatives. However, limitations in the reporting of primary studies and current meta-analysis methods (including approaches for exploring heterogeneity) reduce the utility of existing syntheses for health system decision-makers. This study will explore the role of innovative meta-analysis approaches and the added value of enriched and updated data for increasing the utility of systematic reviews of complex interventions. Methods/Design We will use the dataset from our recent systematic review of 142 randomized trials of diabetes quality improvement programs to evaluate novel approaches for exploring heterogeneity. These will include exploratory methods, such as multivariate meta-regression analyses and all-subsets combinatorial meta-analysis. We will then update our systematic review to include new trials and enrich the dataset by surveying authors of all included trials. In doing so, we will explore the impact of variables not, reported in previous publications, such as details of study context, on the effectiveness of the intervention. We will use innovative analytical methods on the enriched and updated dataset to identify key success factors in the implementation of quality improvement interventions for diabetes. Decision-makers will be involved throughout to help identify and prioritize variables to be explored and to aid in the interpretation and dissemination of results. Discussion This study will inform future systematic reviews of complex interventions and describe the value of enriching and updating data for exploring heterogeneity in meta-analysis. It will also result in an updated comprehensive systematic review of diabetes quality improvement interventions that will be useful to health system decision-makers in developing interventions to improve outcomes for people with diabetes. Systematic review registration PROSPERO registration no. CRD42013005165 PMID:25115289

Space Station Freedom (SSF) Data Management System (DMS) performance model data base

NASA Technical Reports Server (NTRS)

Stovall, John R.

1993-01-01

The purpose of this document was originally to be a working document summarizing Space Station Freedom (SSF) Data Management System (DMS) hardware and software design, configuration, performance and estimated loading data from a myriad of source documents such that the parameters provided could be used to build a dynamic performance model of the DMS. The document is published at this time as a close-out of the DMS performance modeling effort resulting from the Clinton Administration mandated Space Station Redesign. The DMS as documented in this report is no longer a part of the redesigned Space Station. The performance modeling effort was a joint undertaking between the National Aeronautics and Space Administration (NASA) Johnson Space Center (JSC) Flight Data Systems Division (FDSD) and the NASA Ames Research Center (ARC) Spacecraft Data Systems Research Branch. The scope of this document is limited to the DMS core network through the Man Tended Configuration (MTC) as it existed prior to the 1993 Clinton Administration mandated Space Station Redesign. Data is provided for the Standard Data Processors (SDP's), Multiplexer/Demultiplexers (MDM's) and Mass Storage Units (MSU's). Planned future releases would have added the additional hardware and software descriptions needed to describe the complete DMS. Performance and loading data through the Permanent Manned Configuration (PMC) was to have been included as it became available. No future releases of this document are presently planned pending completion of the present Space Station Redesign activities and task reassessment.

Creating and synthesizing evidence with decision makers in mind: integrating evidence from clinical trials and other study designs.

PubMed

Atkins, David

2007-10-01

Randomized controlled trials (RCTs) remain the accepted "gold standard" for determining the efficacy of new drugs or medical procedures. Randomized trials alone, however, cannot provide all the relevant information decision makers need to determine the relative risks and benefits when choosing the best treatment of individual patients or weighing the implications of particular policies affecting medical therapies. To demonstrate the limitations of RCTs in providing the information needed by medical decision makers, and to show how information from observational studies can supplement evidence from RCTs. Qualitative description of the limitations of RCTs in providing the information needed by medical decision makers, and demonstration of how evidence from additional sources can aid in decision making, using the examples of deciding whether a 60-year-old woman with mildly elevated blood pressure should take daily low-dose aspirin, and whether a hospital network should implement carotid artery surgery for asymptomatic patients. Even the most rigorously designed RCTs leave many questions central to medical decision making unanswered. Research using cohort and case-control designs, disease and intervention registries, and outcomes studies based on administrative data can all shed light on who is most likely to benefit from the treatment, and what the important tradeoffs are. This suggests the need to revise the traditional evidence hierarchy, whereby evidence progresses linearly from basic research to rigorous RCTs. This revised hierarchy recognizes that other research designs can provide important evidence to strengthen our understanding of how to apply research findings in practice.

Ethical challenges related to elder care. High level decision-makers' experiences

PubMed Central

Mamhidir, Anna-Greta; Kihlgren, Mona; Sorlie, Venke

2007-01-01

Background Few empirical studies have been found that explore ethical challenges among persons in high public positions that are responsible for elder care. The aim of this paper was to illuminate the meaning of being in ethically difficult situations related to elder care as experienced by high level decision-makers. Methods A phenomenological-hermeneutic method was used to analyse the eighteen interviews conducted with political and civil servant high level decision-makers at the municipality and county council level from two counties in Sweden. The participants worked at a planning and control as well as executive level and had both budget and quality of elder care responsibilities. Results Both ethical dilemmas and the meaning of being in ethically difficult situations related to elder care were revealed. No differences were seen between the politicians and the civil servants. The ethical dilemmas mostly concerned dealings with extensive care needs and working with a limited budget. The dilemmas were associated with a lack of good care and a lack of agreement concerning care such as vulnerable patients in inappropriate care settings, weaknesses in medical support, dissimilar focuses between the caring systems, justness in the distribution of care and deficient information. Being in ethically difficult situations was challenging. Associated with them were experiences of being exposed, having to be strategic and living with feelings such as aloneness and loneliness, uncertainty, lack of confirmation, the risk of being threatened or becoming a scapegoat and difficult decision avoidance. Conclusion Our paper provides further insight into the ethical dilemmas and ethical challenges met by high level decision-makers', which is important since the overall responsibility for elder care that is also ethically defensible rests with them. They have power and their decisions affect many stakeholders in elder care. Our results can be used to stimulate discussions between high level decision-makers and health care professionals concerning ways of dealing with ethical issues and the necessity of structures that facilitate dealing with them. Even if the high level decision-makers have learned to live with the ethical challenges that confronted them, it was obvious that they were not free from feelings of uncertainty, frustration and loneliness. Vulnerability was revealed regarding themselves and others. Their feelings of failure indicated that they felt something was at stake for the older adults in elder care and for themselves as well, in that there was the risk that important needs would go unmet. PMID:17419880

Ethical challenges related to elder care. High level decision-makers' experiences.

PubMed

Mamhidir, Anna-Greta; Kihlgren, Mona; Sorlie, Venke

2007-04-10

Few empirical studies have been found that explore ethical challenges among persons in high public positions that are responsible for elder care. The aim of this paper was to illuminate the meaning of being in ethically difficult situations related to elder care as experienced by high level decision-makers. A phenomenological-hermeneutic method was used to analyse the eighteen interviews conducted with political and civil servant high level decision-makers at the municipality and county council level from two counties in Sweden. The participants worked at a planning and control as well as executive level and had both budget and quality of elder care responsibilities. Both ethical dilemmas and the meaning of being in ethically difficult situations related to elder care were revealed. No differences were seen between the politicians and the civil servants. The ethical dilemmas mostly concerned dealings with extensive care needs and working with a limited budget. The dilemmas were associated with a lack of good care and a lack of agreement concerning care such as vulnerable patients in inappropriate care settings, weaknesses in medical support, dissimilar focuses between the caring systems, justness in the distribution of care and deficient information. Being in ethically difficult situations was challenging. Associated with them were experiences of being exposed, having to be strategic and living with feelings such as aloneness and loneliness, uncertainty, lack of confirmation, the risk of being threatened or becoming a scapegoat and difficult decision avoidance. Our paper provides further insight into the ethical dilemmas and ethical challenges met by high level decision-makers', which is important since the overall responsibility for elder care that is also ethically defensible rests with them. They have power and their decisions affect many stakeholders in elder care. Our results can be used to stimulate discussions between high level decision-makers and health care professionals concerning ways of dealing with ethical issues and the necessity of structures that facilitate dealing with them. Even if the high level decision-makers have learned to live with the ethical challenges that confronted them, it was obvious that they were not free from feelings of uncertainty, frustration and loneliness. Vulnerability was revealed regarding themselves and others. Their feelings of failure indicated that they felt something was at stake for the older adults in elder care and for themselves as well, in that there was the risk that important needs would go unmet.

Navigating the boundary of science for decision making at the state and local level

NASA Astrophysics Data System (ADS)

Gonzales, L. M.; Wood, C.; Boland, M. A.; Rose, C. A.

2015-12-01

Scientific information should play a vital role in many decision making processes, yet issues incorporating geoscience information often arise due to inherent differences between how scientists and decision makers operate. Decision makers and scientists have different priorities, produce work at different rates, and often lack an understanding of each others' institutional constraints. Boundary organizations, entities that facilitate collaboration and information flow across traditional boundaries such as that between scientists and decision makers, are in a unique position to improve the dialogue between disparate groups. The American Geosciences Institute (AGI), a nonprofit federation of 50 geoscience societies and organizations, is linking the geoscience and decision-making communities through its Critical Issues Program. AGI's Critical Issues program has first-hand experience in improving the transfer of information across the science-decision making boundary, particularly in areas pertaining to water resources and hazards. This presentation will focus on how, by collaborating with organizations representing the decision making and geoscience communities to inform our program development, we have created our three main content types - website, webinar series, and research database - to better meet the needs of the decision-making process. The program presents existing geoscience information in a way that makes the interconnected nature of geoscience topics more easily understood, encourages discussion between the scientific and decision-making communities, and has established a trusted source of impartial geoscience information. These efforts have focused on state and local decision makers—groups that increasingly influence climate and risk-related decisions, yet often lack the resources to access and understand geoscience information.

The Assisted Decision-Making (Capacity) Act 2015: what it is and why it matters.

PubMed

Kelly, B D

2017-05-01

Ireland's Assisted Decision-Making (Capacity) Act 2015 was signed by President Higgins in December 2015 and scheduled for commencement in 2016. To explore the content and implications of the 2015 Act. Review of the 2015 Act and related literature. The 2015 Act places the "will and preferences" of persons with impaired mental capacity at the heart of decision-making relating to "personal welfare" (including healthcare) and "property and affairs". Capacity is to be "construed functionally" and interventions must be "for the benefit of the relevant person". The Act outlines three levels of decision-making assistance: "decision-making assistant", "co-decision-maker" (joint decision-maker) and "decision-making representative" (substitute decision-maker). There are procedures relating to "enduring power of attorney" and "advance healthcare directives"; in the case of the latter, a "refusal of treatment" can be legally binding, while a "request for a specific treatment" must "be taken into consideration". The 2015 Act is considerably more workable than the 2013 Bill that preceded it. Key challenges include the subtle decision-making required by patients, healthcare staff, Circuit Court judges and the director of the Decision Support Service; implementation of "advance healthcare directives", especially if they do not form part of a broader model of advance care planning (incorporating the flexibility required for unpredictable future circumstances); and the over-arching issue of logistics, as very many healthcare decisions are currently made in situations where the patient's capacity is impaired. A key challenge will lie in balancing the emphasis on autonomy with principles of beneficence, mutuality and care.

Fidelity to a behavioral intervention to improve goals of care decisions for nursing home residents with advanced dementia.

PubMed

Hanson, Laura C; Song, Mi-Kyung; Zimmerman, Sheryl; Gilliam, Robin; Rosemond, Cherie; Chisholm, Latarsha; Lin, Feng-Chang

2016-12-01

Ensuring fidelity to a behavioral intervention implemented in nursing homes requires awareness of the unique considerations of this setting for research. The purpose of this article is to describe the goals of care cluster-randomized trial and the methods used to monitor and promote fidelity to a goals of care decision aid intervention delivered in nursing homes. The cluster randomized trial tested whether a decision aid for goals of care in advanced dementia could improve (1) the quality of communication and decision-making, (2) the quality of palliative care, and (3) the quality of dying for nursing home residents with advanced dementia. In 11 intervention nursing homes, family decision-makers for residents with advanced dementia received a two-component intervention: viewing a video decision aid about goals of care choices and then participating in a structured decision-making discussion with the nursing home care plan team, ideally within 3 months after the decision aid was viewed. Following guidelines from the National Institutes of Health Behavior Change Consortium, fidelity was assessed in study design, in nursing home staff training for intervention implementation, and in monitoring and receipt of the intervention. We also monitored the content and timing of goals of care discussions. Investigators enrolled 151 family decision-maker/resident dyads in intervention sites; of those, 136 (90%) received both components of the intervention, and 92%-99% of discussions addressed each of four recommended content areas-health status, goals of care, choice of a goal, and treatment planning. A total of 94 (69%) of the discussions between family decision-makers and the nursing home care team were completed within 3 months. The methods we used for intervention fidelity allowed nursing home staff to implement a goals of care decision aid intervention for advanced dementia. Key supports for implementation included design features that aligned with nursing home practice, efficient staff training, and a structured guide for goals of care discussions between family decision-makers and staff. These approaches may be used to promote fidelity to behavioral interventions in future clinical trials. © The Author(s) 2016.

Role of Dorsomedial Striatum Neuronal Ensembles in Incubation of Methamphetamine Craving after Voluntary Abstinence

PubMed Central

Venniro, Marco; Zhang, Michelle; Bossert, Jennifer M.; Warren, Brandon L.; Hope, Bruce T.

2017-01-01

We recently developed a rat model of incubation of methamphetamine craving after choice-based voluntary abstinence. Here, we studied the role of dorsolateral striatum (DLS) and dorsomedial striatum (DMS) in this incubation. We trained rats to self-administer palatable food pellets (6 d, 6 h/d) and methamphetamine (12 d, 6 h/d). We then assessed relapse to methamphetamine seeking under extinction conditions after 1 and 21 abstinence days. Between tests, the rats underwent voluntary abstinence (using a discrete choice procedure between methamphetamine and food; 20 trials/d) for 19 d. We used in situ hybridization to measure the colabeling of the activity marker Fos with Drd1 and Drd2 in DMS and DLS after the tests. Based on the in situ hybridization colabeling results, we tested the causal role of DMS D1 and D2 family receptors, and DMS neuronal ensembles in “incubated” methamphetamine seeking, using selective dopamine receptor antagonists (SCH39166 or raclopride) and the Daun02 chemogenetic inactivation procedure, respectively. Methamphetamine seeking was higher after 21 d of voluntary abstinence than after 1 d (incubation of methamphetamine craving). The incubated response was associated with increased Fos expression in DMS but not in DLS; Fos was colabeled with both Drd1 and Drd2. DMS injections of SCH39166 or raclopride selectively decreased methamphetamine seeking after 21 abstinence days. In Fos-lacZ transgenic rats, selective inactivation of relapse test-activated Fos neurons in DMS on abstinence day 18 decreased incubated methamphetamine seeking on day 21. Results demonstrate a role of DMS dopamine D1 and D2 receptors in the incubation of methamphetamine craving after voluntary abstinence and that DMS neuronal ensembles mediate this incubation. SIGNIFICANCE STATEMENT In human addicts, abstinence is often self-imposed and relapse can be triggered by exposure to drug-associated cues that induce drug craving. We recently developed a rat model of incubation of methamphetamine craving after choice-based voluntary abstinence. Here, we used classical pharmacology, in situ hybridization, immunohistochemistry, and the Daun02 inactivation procedure to demonstrate a critical role of dorsomedial striatum neuronal ensembles in this new form of incubation of drug craving. PMID:28123032

Dissolved DMSO production via biological and photochemical oxidation of dissolved DMS in the Ross Sea, Antarctica

NASA Astrophysics Data System (ADS)

del Valle, Daniela A.; Kieber, David J.; Toole, Dierdre A.; Bisgrove, John; Kiene, Ronald P.

2009-02-01

Dimethylsulfoxide (DMSO) is an important degradation product of the climate-influencing gas dimethylsulfide (DMS). In the Ross Sea, Antarctica, dissolved DMSO (DMSOd) concentrations exhibited substantial seasonal and vertical variations. Surface water DMSOd concentrations in pre-bloom waters were very low (<1 nM) but increased rapidly up to 41 nM during the spring Phaeocystis antarctica bloom (late November). Increases in DMSOd concentrations lagged by several days increases in DMS concentrations. Although DMSOd concentrations reached relatively high levels during the spring bloom, concentrations were generally higher (36.3-60.6 nM) during summer (January), even though phytoplankton biomass and DMS concentrations had decreased by that time. During both seasons, DMSOd concentrations were substantially higher within the surface mixed layer than below it. DMSOd production from biological DMS consumption (BDMSC) was higher during late November (3.4-5.2 nM d -1) than during the summer (0.7-2.4 nM d -1); therefore, production via BDMSC alone could not explain the higher DMSOd concentrations encountered during the summer. Mixed layer-integrated DMSOd production from BDMSC was 2.5-13.7 times greater than production from dissolved DMS photolysis during the P. antarctica bloom, while photolysis contributed 1.3 times more DMSO than BDMSC before the bloom. The DMSO yield from BDMSC was consistently higher within the upper mixed layer than at depths below. Experimental incubations with water from the mixed layer showed that exposure to full spectrum sunlight for 72 h caused an increase in the DMSO yield whereas exposure to only photosynthetically active radiation did not. This suggests that ultraviolet radiation is a potential factor shifting the fate of biologically consumed DMS toward DMSO. In general, the highest DMSO yields from BDMSC were in samples with slow biological DMS turnover, whereas fast turnover favored sulfate rather than DMSO as a major end-product. This study provides the first detailed information about DMSOd distribution and production in the Ross Sea and points to DMSOd as an important biological and photochemical degradation product of DMS and a major reservoir of methylated sulfur in these polar surface waters.

Amplification of global warming through pH dependence of DMS production simulated with a fully coupled Earth system model

NASA Astrophysics Data System (ADS)

Schwinger, Jörg; Tjiputra, Jerry; Goris, Nadine; Six, Katharina D.; Kirkevåg, Alf; Seland, Øyvind; Heinze, Christoph; Ilyina, Tatiana

2017-08-01

We estimate the additional transient surface warming ΔTs caused by a potential reduction of marine dimethyl sulfide (DMS) production due to ocean acidification under the high-emission scenario RCP8.5 until the year 2200. Since we use a fully coupled Earth system model, our results include a range of feedbacks, such as the response of marine DMS production to the additional changes in temperature and sea ice cover. Our results are broadly consistent with the findings of a previous study that employed an offline model set-up. Assuming a medium (strong) sensitivity of DMS production to pH, we find an additional transient global warming of 0.30 K (0.47 K) towards the end of the 22nd century when DMS emissions are reduced by 7.3 Tg S yr-1 or 31 % (11.5 Tg S yr-1 or 48 %). The main mechanism behind the additional warming is a reduction of cloud albedo, but a change in shortwave radiative fluxes under clear-sky conditions due to reduced sulfate aerosol load also contributes significantly. We find an approximately linear relationship between reduction of DMS emissions and changes in top of the atmosphere radiative fluxes as well as changes in surface temperature for the range of DMS emissions considered here. For example, global average Ts changes by -0. 041 K per 1 Tg S yr-1 change in sea-air DMS fluxes. The additional warming in our model has a pronounced asymmetry between northern and southern high latitudes. It is largest over the Antarctic continent, where the additional temperature increase of 0.56 K (0.89 K) is almost twice the global average. We find that feedbacks are small on the global scale due to opposing regional contributions. The most pronounced feedback is found for the Southern Ocean, where we estimate that the additional climate change enhances sea-air DMS fluxes by about 9 % (15 %), which counteracts the reduction due to ocean acidification.

Expanding Health Technology Assessments to Include Effects on the Environment.

PubMed

Marsh, Kevin; Ganz, Michael L; Hsu, John; Strandberg-Larsen, Martin; Gonzalez, Raquel Palomino; Lund, Niels

2016-01-01

There is growing awareness of the impact of human activity on the climate and the need to stem this impact. Public health care decision makers from Sweden and the United Kingdom have started examining environmental impacts when assessing new technologies. This article considers the case for incorporating environmental impacts into the health technology assessment (HTA) process and discusses the associated challenges. Two arguments favor incorporating environmental impacts into HTA: 1) environmental changes could directly affect people's health and 2) policy decision makers have broad mandates and objectives extending beyond health care. Two types of challenges hinder this process. First, the nascent evidence base is insufficient to support the accurate comparison of technologies' environmental impacts. Second, cost-utility analysis, which is favored by many HTA agencies, could capture some of the value of environmental impacts, especially those generating health impacts, but might not be suitable for addressing broader concerns. Both cost-benefit and multicriteria decision analyses are potential methods for evaluating health and environmental outcomes, but are less familiar to health care decision makers. Health care is an important and sizable sector of the economy that could warrant closer policy attention to its impact on the environment. Considerable work is needed to track decision makers' demands, augment the environmental evidence base, and develop robust methods for capturing and incorporating environmental data as part of HTA. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Use of Inverse Reinforcement Learning for Identity Prediction

NASA Technical Reports Server (NTRS)

Hayes, Roy; Bao, Jonathan; Beling, Peter; Horowitz, Barry

2011-01-01

We adopt Markov Decision Processes (MDP) to model sequential decision problems, which have the characteristic that the current decision made by a human decision maker has an uncertain impact on future opportunity. We hypothesize that the individuality of decision makers can be modeled as differences in the reward function under a common MDP model. A machine learning technique, Inverse Reinforcement Learning (IRL), was used to learn an individual's reward function based on limited observation of his or her decision choices. This work serves as an initial investigation for using IRL to analyze decision making, conducted through a human experiment in a cyber shopping environment. Specifically, the ability to determine the demographic identity of users is conducted through prediction analysis and supervised learning. The results show that IRL can be used to correctly identify participants, at a rate of 68% for gender and 66% for one of three college major categories.

Fairness and legitimacy of decisions during delivery of malaria services and ITN interventions in Zambia.

PubMed

Tuba, Mary; Sandoy, Ingvild F; Bloch, Paul; Byskov, Jens

2010-11-01

Malaria is the leading cause of morbidity and the second leading cause of mortality in Zambia. Perceptions of fairness and legitimacy of decisions relating to treatment of malaria cases within public health facilities and distribution of ITNs were assessed in a district in Zambia. The study was conducted within the framework of REsponse to ACcountable priority setting for Trust in health systems (REACT), a north-south collaborative action research study, which evaluates the Accountability for Reasonableness (AFR) approach to priority setting in Zambia, Tanzania and Kenya. This paper is based on baseline in-depth interviews (IDIs) conducted with 38 decision-makers, who were involved in prioritization of malaria services and ITN distribution at district, facility and community levels in Zambia, one Focus Group Discussion (FGD) with District Health Management Team managers and eight FGDs with outpatients' attendees. Perceptions and attitudes of providers and users and practices of providers were systematized according to the four AFR conditions relevance, publicity, appeals and leadership. Conflicting criteria for judging fairness were used by decision-makers and patients. Decision-makers argued that there was fairness in delivery of malaria treatment and distribution of ITNs based on alleged excessive supply of free malaria medicines, subsidized ITNs, and presence of a qualified health-provider in every facility. Patients argued that there was unfairness due to differences in waiting time, distances to health facilities, erratic supply of ITNs, no responsive appeal mechanisms, inadequate access to malaria medicines, ITNs and health providers, and uncaring providers. Decision-makers only perceived government bodies and donors/NGOs to be legitimate stakeholders to involve during delivery. Patients found government bodies, patients, indigenous healers, chiefs and politicians to be legitimate stakeholders during both planning and delivery. Poor status of the AFR conditions of relevance, publicity, appeals and leadership corresponds well to the differing perceptions of fairness and unfairness among outpatient attendees and decision-makers. This may have been re-enforced by existing disagreements between the two groups regarding who the legitimate stakeholders to involve during service delivery were. Conflicts identified in this study could be resolved by promoting application of approaches such as AFR during priority setting in the district.

Multiple-attribute group decision making with different formats of preference information on attributes.

PubMed

Xu, Zeshui

2007-12-01

Interval utility values, interval fuzzy preference relations, and interval multiplicative preference relations are three common uncertain-preference formats used by decision-makers to provide their preference information in the process of decision making under fuzziness. This paper is devoted in investigating multiple-attribute group-decision-making problems where the attribute values are not precisely known but the value ranges can be obtained, and the decision-makers provide their preference information over attributes by three different uncertain-preference formats i.e., 1) interval utility values; 2) interval fuzzy preference relations; and 3) interval multiplicative preference relations. We first utilize some functions to normalize the uncertain decision matrix and then transform it into an expected decision matrix. We establish a goal-programming model to integrate the expected decision matrix and all three different uncertain-preference formats from which the attribute weights and the overall attribute values of alternatives can be obtained. Then, we use the derived overall attribute values to get the ranking of the given alternatives and to select the best one(s). The model not only can reflect both the subjective considerations of all decision-makers and the objective information but also can avoid losing and distorting the given objective and subjective decision information in the process of information integration. Furthermore, we establish some models to solve the multiple-attribute group-decision-making problems with three different preference formats: 1) utility values; 2) fuzzy preference relations; and 3) multiplicative preference relations. Finally, we illustrate the applicability and effectiveness of the developed models with two practical examples.

How to pose the question matters: Behavioural Economics concepts in decision making on the basis of ensemble forecasts

NASA Astrophysics Data System (ADS)

Alfonso, Leonardo; van Andel, Schalk Jan

2014-05-01

Part of recent research in ensemble and probabilistic hydro-meteorological forecasting analyses which probabilistic information is required by decision makers and how it can be most effectively visualised. This work, in addition, analyses if decision making in flood early warning is also influenced by the way the decision question is posed. For this purpose, the decision-making game "Do probabilistic forecasts lead to better decisions?", which Ramos et al (2012) conducted at the EGU General Assembly 2012 in the city of Vienna, has been repeated with a small group and expanded. In that game decision makers had to decide whether or not to open a flood release gate, on the basis of flood forecasts, with and without uncertainty information. A conclusion of that game was that, in the absence of uncertainty information, decision makers are compelled towards a more risk-averse attitude. In order to explore to what extent the answers were driven by the way the questions were framed, in addition to the original experiment, a second variant was introduced where participants were asked to choose between a sure value (for either loosing or winning with a giving probability) and a gamble. This set-up is based on Kahneman and Tversky (1979). Results indicate that the way how the questions are posed may play an important role in decision making and that Prospect Theory provides promising concepts to further understand how this works.

A Comparison of Computational Cognitive Models: Agent-Based Systems Versus Rule-Based Architectures

DTIC Science & Technology

2003-03-01

Java™ How To Program , Prentice Hall, 1999. Friedman-Hill, E., Jess, The Expert System Shell for the Java Platform, Sandia National Laboratories, 2001...transition from the descriptive NDM theory to a computational model raises several questions: Who is an experienced decision maker? How do you model the...progression from being a novice to an experienced decision maker? How does the model account for previous experiences? Are there situations where

[The influence of the relationship between physicians and pharmaceutical companies on the patient from the point of view of policy-makers in Israel].

PubMed

Nissanholtz-Gannot, Rachel; Shani, Segev; Shvarts, Shifra

2010-11-01

The relationship between doctors and pharmaceutical companies is an integral part of the health system in Israel and the whole world. The mutual need for such a relationship requires us, as a society, to examine its influence on the individual and the system as a whole. This research examines the relationship from the points of view of the relevant parties within the health system and outside the health system (decision-makers). The authors used in-depth interviews and qualitative research methods in order to examine and understand the various positions of decision-makers. The position of the decision-makers, regarding all the aspects of this relationship, expresses their wishes and depends on their point of view. The impact of the relationship between the doctors and the pharmaceutical companies was examined with regard to the prescription behavior of the doctor. All the government representatives, all the physicians' representatives and those of the health funds, believe that the physicians' prescription behavior is impacted by the relationship. There are those who perceive this to be a negative trend and some doctors believe it to be a positive trend. With regard to possible harm to the patient, the parties believe that the relationship does not harm the patient, whereas most of the government representatives identify harm to the patients, both on the economic and health levels. The authors believe that the "influence" which exists or could exist on the part of the pharmaceutical companies is the main stumbling block in this relationship, which is expressed in the decision-makers' perspective.

The marketing activities of hospitals: environmental, organizational, and managerial influences.

PubMed

Myrtle, R C; Martinez, C F

1991-03-01

This article reports the results of a study designed to examine the relationship of environmental, organizational and structural factors, perceptions of key decision makers about competitive conditions, and changes in operational performance with the level of the marketing activities engaged in by 145 California hospitals. Measures assessing the impact of environmental conditions and the perception of the key decision makers were found to be related to the marketing activities of the organization. However, the relationship between measures which examined the structural and performance impacts on the marketing activities did not demonstrate the same predictive ability. The results suggest that marketing activities were affected by the key decision maker's assessment of the competitive nature of the environment, influence of key stakeholders, and tangible changes in the organization's task environment. Performance and other measures were not found to be as influential in determining these activities.

Conceptual framework for nutrition surveillance systems.

PubMed

Mock, N B; Bertrand, W E

1993-01-01

This article describes the evolution of nutrition surveillance as an intervention strategy and presents a framework for improving the usefulness of nutrition surveillance programs. It seems clear that such programs' impact on nutritional well-being will depend increasingly on their ability to reach and influence decision-makers. Therefore, it is important to consider political and social forces, and also to realize that if a program is too decentralized or too far removed from key decision-makers, its ability to influence resource flows may be limited. It is of course important that the surveillance information provided be appropriate and of good quality. Therefore, the data collected should be analyzed to ensure they are accurate and representative. Once that has been done, relevant findings should be presented in a readily understandable form designed to meet the intended recipients' information needs. Such findings should also be disseminated to all important decision-maker constituencies, including external donors of nutrition assistance and the general public.

A Chaotic Ordered Hierarchies Consistency Analysis Performance Evaluation Model

NASA Astrophysics Data System (ADS)

Yeh, Wei-Chang

2013-02-01

The Hierarchies Consistency Analysis (HCA) is proposed by Guh in-cooperated along with some case study on a Resort to reinforce the weakness of Analytical Hierarchy Process (AHP). Although the results obtained enabled aid for the Decision Maker to make more reasonable and rational verdicts, the HCA itself is flawed. In this paper, our objective is to indicate the problems of HCA, and then propose a revised method called chaotic ordered HCA (COH in short) which can avoid problems. Since the COH is based upon Guh's method, the Decision Maker establishes decisions in a way similar to that of the original method.

36 CFR 907.14 - Corporation decision making procedures.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Corporation decision making... CORPORATION ENVIRONMENTAL QUALITY § 907.14 Corporation decision making procedures. To ensure that at major decision making points all relevant environmental concerns are considered by the Decision Maker, the...

Decision Support | Solar Research | NREL

Science.gov Websites

informed solar decision making with credible, objective, accessible, and timely resources. Solar Energy Decision Support Decision Support NREL provides technical and analytical support to support provide unbiased information on solar policies and issues for state and local government decision makers

Degenerative Mitral Stenosis: Unmet Need for Percutaneous Interventions.

PubMed

Sud, Karan; Agarwal, Shikhar; Parashar, Akhil; Raza, Mohammad Q; Patel, Kunal; Min, David; Rodriguez, Leonardo L; Krishnaswamy, Amar; Mick, Stephanie L; Gillinov, A Marc; Tuzcu, E Murat; Kapadia, Samir R

2016-04-19

Degenerative mitral stenosis (DMS) is an important cause of mitral stenosis, developing secondary to severe mitral annular calcification. With the increase in life expectancy and improved access to health care, more patients with DMS are likely to be encountered in developed nations. These patients are generally elderly with multiple comorbidities and often are high-risk candidates for surgery. The mainstay of therapy in DMS patients is medical management with heart rate control and diuretic therapy. Surgical intervention might be delayed until symptoms are severely limiting and cannot be managed by medical therapy. Mitral valve surgery is also challenging in these patients because of the presence of extensive calcification. Hence, there is a need to develop an alternative percutaneous treatment approach for patients with DMS who are otherwise inoperable or at high risk for surgery. In this review, we summarize the available data on the epidemiology of DMS and diagnostic considerations and current treatment strategies for these patients. © 2016 American Heart Association, Inc.

Testing for a slope-based decoupling algorithm in a woofer-tweeter adaptive optics system.

PubMed

Cheng, Tao; Liu, WenJin; Yang, KangJian; He, Xin; Yang, Ping; Xu, Bing

2018-05-01

It is well known that using two or more deformable mirrors (DMs) can improve the compensation ability of an adaptive optics (AO) system. However, to keep the stability of an AO system, the correlation between the multiple DMs must be suppressed during the correction. In this paper, we proposed a slope-based decoupling algorithm to simultaneous control the multiple DMs. In order to examine the validity and practicality of this algorithm, a typical woofer-tweeter (W-T) AO system was set up. For the W-T system, a theory model was simulated and the results indicated in theory that the algorithm we presented can selectively make woofer and tweeter correct different spatial frequency aberration and suppress the cross coupling between the dual DMs. At the same time, the experimental results for the W-T AO system were consistent with the results of the simulation, which demonstrated in practice that this algorithm is practical for the AO system with dual DMs.

N,N-dimethylsulfamide as precursor for N-nitrosodimethylamine (NDMA) formation upon ozonation and its fate during drinking water treatment.

PubMed

Schmidt, Carsten K; Brauch, Heinz-Jürgen

2008-09-01

Application and microbial degradation of the fungicide tolylfluanide gives rise to a new decomposition product named N,N-dimethylsulfamide (DMS). In Germany, DMS was found in groundwaters and surface waters with typical concentrations in the range of 100-1000 ng/L and 50-90 ng/L, respectively. Laboratory-scale and field investigations concerning its fate during drinking water treatment showed that DMS cannot be removed via riverbank filtration, activated carbon filtration, flocculation, and oxidation or disinfection procedures based on hydrogen peroxide, potassium permanganate, chlorine dioxide, or UV irradiation. Even nanofiltration does not provide a sufficient removal efficiency. During ozonation about 30-50% of DMS are converted to the carcinogenic N-nitrosodimethylamine (NDMA). The NDMA being formed is biodegradable and can at least partially be removed by subsequent biologically active drinking water treatment steps including sand or activated carbon filtration. Disinfection with hypochlorous acid converts DMS to so far unknown degradation products but not to NDMA or 1,1-dimethylhydrazine (UDMH).

Linking TFT-LCD wastewater treatment performance to microbial population abundance of Hyphomicrobium and Thiobacillus spp.

PubMed

Fukushima, Toshikazu; Whang, Liang-Ming; Chen, Po-Chun; Putri, Dyah Wulandari; Chang, Ming-Yu; Wu, Yi-Ju; Lee, Ya-Ching

2013-08-01

This study investigated the linkage between performance of two full-scale membrane bioreactor (MBR) systems treating thin-film transistor liquid crystal display (TFT-LCD) wastewater and the population dynamics of dimethylsulfoxide (DMSO)/dimethylsulfide (DMS) degrading bacteria. High DMSO degradation efficiencies were achieved in both MBRs, while the levels of nitrification inhibition due to DMS production from DMSO degradation were different in the two MBRs. The results of real-time PCR targeting on DMSO/DMS degrading populations, including Hyphomicrobium and Thiobacillus spp., indicated that a higher DMSO oxidation efficiency occurred at a higher Hyphomicrobium spp. abundance in the systems, suggesting that Hyphomicrobium spp. may be more important for complete DMSO oxidation to sulfate compared with Thiobacillus spp. Furthermore, Thiobacillus spp. was more abundant during poor nitrification, while Hyphomicrobium spp. was more abundant during good nitrification. It is suggested that microbial population of DMSO/DMS degrading bacteria is closely linking to both DMSO/DMS degradation efficiency and nitrification performance. Copyright © 2013 Elsevier Ltd. All rights reserved.

Psychometric properties of the Drive for Muscularity Scale in Malay men.

PubMed

Swami, Viren; Barron, David; Lau, Poh Li; Jaafar, Jas Laile

2016-06-01

The Drive for Muscularity Scale (DMS) is a widely used measure in studies of men's body image, but few studies have examined its psychometric properties outside English-speaking samples. Here, we assessed the factor structure of a Malay translation of the DMS. A community sample of 159 Malay men from Kuala Lumpur, Malaysia, completed the DMS, along with measures of self-esteem, body appreciation, and muscle discrepancy. Exploratory factor analysis led to the extraction of two factors, differentiating attitudes from behaviours, which mirrors the parent scale. Both factors also loaded on to a higher-order drive for muscularity factor. The subscales of the Malay DMS had adequate internal consistencies and good convergent validity, insofar as significant relationships were reported with self-esteem, body appreciation, muscle discrepancy, and body mass index. These results indicate that the Malay DMS has acceptable psychometric properties and can be used to assess body image concerns in Malay men. Copyright © 2016 Elsevier Ltd. All rights reserved.

Marine Aerosol Precursor Emissions for Earth System Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Maltrud, Mathew Einar

2016-07-25

Dimethyl sulfide (DMS) is generated by marine ecosystems and plays a major role in cloud formation over the ocean. Currently, Earth System Models use imposed flux of DMS from the ocean to the atmosphere that is independent of the climate state. We have added DMS as a prognostic variable to the Community Earth System Model (CESM) that depends on the distribution of phytoplankton species, and thus changes with climate.

Dorsomedial striatum lesions affect adjustment to reward uncertainty, but not to reward devaluation or omission.

PubMed

Torres, Carmen; Glueck, Amanda C; Conrad, Shannon E; Morón, Ignacio; Papini, Mauricio R

2016-09-22

The dorsomedial striatum (DMS) has been implicated in the acquisition of reward representations, a proposal leading to the hypothesis that it should play a role in situations involving reward loss. We report the results of an experiment in which the effects of DMS excitotoxic lesions were tested in consummatory successive negative contrast (reward devaluation), autoshaping training with partial vs. continuous reinforcement (reward uncertainty), and appetitive extinction (reward omission). Animals with DMS lesions exhibited reduced lever pressing responding, but enhanced goal entries, during partial reinforcement training in autoshaping. However, they showed normal negative contrast, acquisition under continuous reinforcement (CR), appetitive extinction, and response facilitation in early extinction trials. Open-field testing also indicated normal motor behavior. Thus, DMS lesions selectively affected the behavioral adjustment to a situation involving reward uncertainty, producing a behavioral reorganization according to which goal tracking (goal entries) became predominant at the expense of sign tracking (lever pressing). This pattern of results shows that the function of the DMS in situations involving reward loss is not general, but restricted to reward uncertainty. We suggest that a nonassociative, drive-related process induced by reward uncertainty requires normal output from DMS neurons. Copyright © 2016 IBRO. Published by Elsevier Ltd. All rights reserved.

Factors controlling dimethylsulfide emission from salt marshes

NASA Technical Reports Server (NTRS)

Dacey, John W. H.; Wakeham, S. G.; Howes, B. L.

1985-01-01

The factors that control the emission of methylated gases from salt marshes are being studied. Research focusses on dimethylsulfide (DMS) formation and the mechanism of DMS and CH4 emission to the atmosphere. The approach is to consider the plants as valves regulating the emission of methylated gases to the atmosphere with the goal of developing appropriate methods for emission measurement. In the case of CH4, the sediment is the source and transport to the atmosphere occurs primarily through the internal gas spaces in the plants. The source of DMS appears to be dimethyl sulfoniopropionate (DMSP) which may play a role in osmoregulation in plant tissues. Concentrations of DMSP in leaves are typically several-fold higher than in roots and rhizomes. Even so, the large below ground biomass of this plant means that 2/3 of the DMSP in the ecosystem is below ground on the aerial basis. Upon introduction to sediment water, DMSP rapidly decomposes to DMS and acrylic acid. The solubility of a gas (its equilibrium vapor pressure) is a fundamental aspect of gas exchange kinetics. The first comprehensive study was conducted of DMS solubility in freshwater and seawater. Data suggest that the Setchenow relation holds for H at intermediate salinities collected. These data support the concept that the concentration of DMS in the atmosphere is far from equilibrium with seawater.

Environmental factors controlling fluxes of dimethyl sulfide in a New Hampshire fen

NASA Technical Reports Server (NTRS)

Demello, William Zamboni; Hines, Mark E.

1992-01-01

The major environmental factors controlling fluxes of dimethyl sulfide (DMS) in a Sphagnum-dominated peatland were investigated in a poor fen in New Hampshire. DMS emissions from the surface of the peatland varied greatly over 24 hours and seasonally. Maximum DMS emissions occurred in summer with minima in the late fall. Temperature was the major environmental factor controlling these variabilities. There was also some evidence that the changes in water table height might have contributed to the seasonable variability in DMS emission. The influence of the water table was greater during periods of elevated temperature. DMS and MSH were the most abundant dissolved volatile sulfur compound (VSC) in the surface of the water table. Concentrations of dissolved VSC's varied with time and space throughout the fen. Dissolved MDS, MSH, and OCS in the surface of the water table were supersaturated with respect to their concentrations in the atmosphere suggesting that the peat surface was a source of VSC's in the peatland. VCS in peatlands seemed to be produced primarily by microbial processes in the anoxic surface layers of the peat rich in organic matter and inorganic sulfide. Sphagnum mosses were not a direct source of VSC's. However, they increased transport of DMS from the peat surface to the atmosphere.

MED SUV TASK 6.3 Capacity building and interaction with decision makers: Improving volcanic risk communication through volcanic hazard tools evaluation, Campi Flegrei Caldera case study (Italy)

NASA Astrophysics Data System (ADS)

Nave, Rosella; Isaia, Roberto; Sandri, Laura; Cristiani, Chiara

2016-04-01

In the communication chain between scientists and decision makers (end users), scientific outputs, as maps, are a fundamental source of information on hazards zoning and the related at risk areas definition. Anyway the relationship between volcanic phenomena, their probability and potential impact can be complex and the geospatial information not easily decoded or understood by not experts even if decision makers. Focusing on volcanic hazard the goal of MED SUV WP6 Task 3 is to improve the communication efficacy of scientific outputs, to contribute in filling the gap between scientists and decision-makers. Campi Flegrei caldera, in Neapolitan area has been chosen as the pilot research area where to apply an evaluation/validation procedure to provide a robust evaluation of the volcanic maps and its validation resulting from end users response. The selected sample involved are decision makers and officials from Campanian Region Civil Protection and municipalities included in Campi Flegrei RED ZONE, the area exposed to risk from to pyroclastic currents hazard. Semi-structured interviews, with a sample of decision makers and civil protection officials have been conducted to acquire both quantitative and qualitative data. The tested maps have been: the official Campi Flegrei Caldera RED ZONE map, three maps produced by overlapping the Red Zone limit on Orthophoto, DTM and Contour map, as well as other maps included a probabilistic one, showing volcanological data used to border the Red Zone. The outcomes' analysis have assessed level of respondents' understanding of content as displayed, and their needs in representing the complex information embedded in volcanic hazard. The final output has been the development of a leaflet as "guidelines" that can support decision makers and officials in understanding volcanic hazard and risk maps, and also in using them as a communication tool in information program for the population at risk. The same evaluation /validation process has been applied also on the scientific output of MED-SUV WP6, as a tool for the short-term probabilistic volcanic hazard assessment. For the Campi Flegrei volcanic system, the expected tool has been implemented to compute hazard curves, hazard maps and probability maps for tephra fallout on a target grid covering the Campania region. This allows the end user to visualize the hazard from tephra fallout and its uncertainty. The response of end-users to such products will help to determine to what extent end-users understand them, find them useful, and match their requirements. In order to involve also Etna area in WP6 TASK 3 activities, a questionnaire developed in the VUELCO project (Volcanic Unrest in Europe and Latin America) has been proposed to Sicily Civil Protection officials having decision-making responsibility in case of volcanic unrest at Etna and Stromboli, to survey their opinions and requirements also in case of volcanic unrest

Gender inequalities in the workplace: the effects of organizational structures, processes, practices, and decision makers' sexism.

PubMed

Stamarski, Cailin S; Son Hing, Leanne S

2015-01-01

Gender inequality in organizations is a complex phenomenon that can be seen in organizational structures, processes, and practices. For women, some of the most harmful gender inequalities are enacted within human resources (HRs) practices. This is because HR practices (i.e., policies, decision-making, and their enactment) affect the hiring, training, pay, and promotion of women. We propose a model of gender discrimination in HR that emphasizes the reciprocal nature of gender inequalities within organizations. We suggest that gender discrimination in HR-related decision-making and in the enactment of HR practices stems from gender inequalities in broader organizational structures, processes, and practices. This includes leadership, structure, strategy, culture, organizational climate, as well as HR policies. In addition, organizational decision makers' levels of sexism can affect their likelihood of making gender biased HR-related decisions and/or behaving in a sexist manner while enacting HR practices. Importantly, institutional discrimination in organizational structures, processes, and practices play a pre-eminent role because not only do they affect HR practices, they also provide a socializing context for organizational decision makers' levels of hostile and benevolent sexism. Although we portray gender inequality as a self-reinforcing system that can perpetuate discrimination, important levers for reducing discrimination are identified.

Social motives and strategic misrepresentation in social decision making.

PubMed

Steinel, Wolfgang; De Dreu, Carsten K W

2004-03-01

In 4 experiments, the authors studied the influence of social motives on deception and strategic misrepresentation. In a newly developed information provision game, individuals faced a decision maker whose decision would affect both own and other's outcomes. By withholding information or by giving (in)accurate information about payoffs, participants could try to influence other's decision making. Less accurate and more inaccurate information was given when the decision maker was competitive rather than cooperative (Experiment 1), especially when participants had a prosocial rather than selfish value orientation (Experiments 3 and 4). Accurate information was withheld because of fear of exploitation and greed, and inaccurate information was given because of greed (Experiment 2). Finally, participants engaged in strategic misrepresentation that may trick competitive others into damaging their own and increasing the participant's outcomes.

An Approach for Web Service Selection Based on Confidence Level of Decision Maker

PubMed Central

Khezrian, Mojtaba; Jahan, Ali; Wan Kadir, Wan Mohd Nasir; Ibrahim, Suhaimi

2014-01-01

Web services today are among the most widely used groups for Service Oriented Architecture (SOA). Service selection is one of the most significant current discussions in SOA, which evaluates discovered services and chooses the best candidate from them. Although a majority of service selection techniques apply Quality of Service (QoS), the behaviour of QoS-based service selection leads to service selection problems in Multi-Criteria Decision Making (MCDM). In the existing works, the confidence level of decision makers is neglected and does not consider their expertise in assessing Web services. In this paper, we employ the VIKOR (VIšekriterijumskoKOmpromisnoRangiranje) method, which is absent in the literature for service selection, but is well-known in other research. We propose a QoS-based approach that deals with service selection by applying VIKOR with improvement of features. This research determines the weights of criteria based on user preference and accounts for the confidence level of decision makers. The proposed approach is illustrated by an example in order to demonstrate and validate the model. The results of this research may facilitate service consumers to attain a more efficient decision when selecting the appropriate service. PMID:24897426

Use of the recognition heuristic depends on the domain's recognition validity, not on the recognition validity of selected sets of objects.

PubMed

Pohl, Rüdiger F; Michalkiewicz, Martha; Erdfelder, Edgar; Hilbig, Benjamin E

2017-07-01

According to the recognition-heuristic theory, decision makers solve paired comparisons in which one object is recognized and the other not by recognition alone, inferring that recognized objects have higher criterion values than unrecognized ones. However, success-and thus usefulness-of this heuristic depends on the validity of recognition as a cue, and adaptive decision making, in turn, requires that decision makers are sensitive to it. To this end, decision makers could base their evaluation of the recognition validity either on the selected set of objects (the set's recognition validity), or on the underlying domain from which the objects were drawn (the domain's recognition validity). In two experiments, we manipulated the recognition validity both in the selected set of objects and between domains from which the sets were drawn. The results clearly show that use of the recognition heuristic depends on the domain's recognition validity, not on the set's recognition validity. In other words, participants treat all sets as roughly representative of the underlying domain and adjust their decision strategy adaptively (only) with respect to the more general environment rather than the specific items they are faced with.

Entropy Methods For Univariate Distributions in Decision Analysis

NASA Astrophysics Data System (ADS)

Abbas, Ali E.

2003-03-01

One of the most important steps in decision analysis practice is the elicitation of the decision-maker's belief about an uncertainty of interest in the form of a representative probability distribution. However, the probability elicitation process is a task that involves many cognitive and motivational biases. Alternatively, the decision-maker may provide other information about the distribution of interest, such as its moments, and the maximum entropy method can be used to obtain a full distribution subject to the given moment constraints. In practice however, decision makers cannot readily provide moments for the distribution, and are much more comfortable providing information about the fractiles of the distribution of interest or bounds on its cumulative probabilities. In this paper we present a graphical method to determine the maximum entropy distribution between upper and lower probability bounds and provide an interpretation for the shape of the maximum entropy distribution subject to fractile constraints, (FMED). We also discuss the problems with the FMED in that it is discontinuous and flat over each fractile interval. We present a heuristic approximation to a distribution if in addition to its fractiles, we also know it is continuous and work through full examples to illustrate the approach.

When is diagnostic testing inappropriate or irrational? Acceptable regret approach.

PubMed

Hozo, Iztok; Djulbegovic, Benjamin

2008-01-01

The authors provide a new model within the framework of theories of bounded rationality for the observed physicians' behavior that their ordering of diagnostic tests may not be rational. Contrary to the prevailing thinking, the authors find that physicians do not act irrationally or inappropriately when they order diagnostic tests in usual clinical practice. When acceptable regret (i.e., regret that a decision maker finds tolerable upon making a wrong decision) is taken into account, the authors show that physicians tend to order diagnostic tests at a higher level of pretest probability of disease than predicted by expected utility theory. They also show why physicians tend to overtest when regret about erroneous decisions is extremely small. Finally, they explain variations in the practice of medicine. They demonstrate that in the same clinical situation, different decision makers might have different acceptable regret thresholds for withholding treatment, for ordering a diagnostic test, or for administering treatment. This in turn means that for some decision makers, the most rational strategy is to do nothing, whereas for others, it may be to order a diagnostic test, and still for others, choosing treatment may be the most rational course of action.

Ethanol-mediated facilitation of AMPA receptor function in the dorsomedial striatum: implications for alcohol drinking behavior.

PubMed

Wang, Jun; Ben Hamida, Sami; Darcq, Emmanuel; Zhu, Wenheng; Gibb, Stuart L; Lanfranco, Maria Fe; Carnicella, Sebastien; Ron, Dorit

2012-10-24

We found previously that acute ex vivo as well as repeated cycles of in vivo ethanol exposure and withdrawal, including excessive voluntary consumption of ethanol, produces a long-lasting increase in the activity of NR2B-containing NMDA receptors (NR2B-NMDARs) in the dorsomedial striatum (DMS) of rats (Wang et al., 2010a). Activation of NMDARs is required for the induction of long-term potentiation (LTP) of AMPA receptor (AMPAR)-mediated synaptic response. We therefore examined whether the ethanol-mediated upregulation of NMDAR activity alters the induction of LTP in the DMS. We found that ex vivo acute exposure of striatal slices to, and withdrawal from, ethanol facilitates the induction of LTP in DMS neurons, which is abolished by the inhibition of NR2B-NMDARs. We also report that repeated systemic administration of ethanol causes an NR2B-NMDAR-dependent facilitation of LTP in the DMS. LTP is mediated by the insertion of AMPAR subunits into the synaptic membrane, and we found that repeated systemic administration of ethanol, as well as cycles of excessive ethanol consumption and withdrawal, produced a long-lasting increase in synaptic localization of the GluR1 and GluR2 subunits of AMPARs in the DMS. Importantly, we report that inhibition of AMPARs in the DMS attenuates operant self-administration of ethanol, but not of sucrose. Together, our data suggest that aberrant synaptic plasticity in the DMS induced by repeated cycles of ethanol exposure and withdrawal contributes to the molecular mechanisms underlying the development and/or maintenance of excessive ethanol consumption.

Dialysis Malnutrition and Malnutrition Inflammation Scores: screening tools for prediction of dialysis-related protein-energy wasting in Malaysia.

PubMed

Harvinder, Gilcharan Singh; Swee, Winnie Chee Siew; Karupaiah, Tilakavati; Sahathevan, Sharmela; Chinna, Karuthan; Ahmad, Ghazali; Bavanandan, Sunita; Goh, Bak Leong

2016-01-01

Malnutrition is highly prevalent in Malaysian dialysis patients and there is a need for a valid screening tool for early identification and management. This cross-sectional study aims to examine the sensitivity of the Dialysis Malnutrition Score (DMS) and Malnutrition Inflammation Score (MIS) tools in predicting protein-energy wasting (PEW) among Malaysian dialysis patients. A total of 155 haemodialysis (HD) and 90 peritoneal dialysis (PD) patients were screened for risk of malnutrition using DMS and MIS and comparisons were made with established guidelines by International Society of Renal Nutrition and Metabolism (ISRNM) for PEW. MIS cut-off score of >=5 indicated presence of malnutrition in all patients. A total of 59% of HD and 83% of PD patients had PEW by ISRNM criteria. Based on DMS, 73% of HD and 71% of PD patients exhibited moderate malnutrition, whilst using MIS, 88% and 90%, respectively were malnourished. DMS and MIS correlated significantly in HD (r2=0.552, p<0.001) and PD (r2=0.466, p<0.001) patients. DMS and MIS had higher sensitivity values in PD (81% and 82%, respectively) compared to HD (59% and 60%, respectively) patients. The MIS cut-off scores for malnutrition classification were established (score >=5) for use amongst Malaysian dialysis patients. Both DMS and MIS are valid tools to be used for nutrition screening of dialysis patients especially those undergoing peritoneal dialysis. The DMS may be a more practical and simpler tool to be utilized in the Malaysian dialysis settings as it does not require laboratory markers.

Moving the science data quality dialogue forward

NASA Astrophysics Data System (ADS)

Robinson, Erin; Meyer, Carol B.; Lenhardt, W. Christopher

2012-05-01

Federation of Earth Science Information Partners Summer 2011 Meeting; Santa Fe, New Mexico, 12-15 July 2011 Scientific data quality is important to scientists, archivists, decision makers, and the public. Uncertain quality costs valuable research dollars and has impacts beyond the initial science. The Federation of Earth Science Information Partners (ESIP) is a consortium of Earth science data and technology professionals spanning the government (NASA, National Oceanic and Atmospheric Administration, U.S. Environmental Protection Agency, U.S. Geological Survey (USGS), National Science Foundation), academia, and private sectors (both commercial and nonprofit). The organization is dedicated to transforming research data and information into useful and usable data and information products for decision makers, policy makers, and the public.

Naturally-Occurring DMSP Analogs as Potential Precursors of Dimethyl Sulfide (DMS) and Methanethiol (MeSH) in Coastal Seawater

NASA Astrophysics Data System (ADS)

Cordero, D.; Kiene, R. P.

2016-02-01

Dimethylsulfoniopropionate (DMSP) is an osmolyte produced by various macroalgae and phytoplankton in the marine environment. DMSP is known to be the main precursor for dimethyl sulfide (DMS), the major natural sulfur gas emitted from the oceans to the atmosphere. DMS contributes to formation and growth of sulfur-containing aerosols in our stratosphere. These aerosols influence Earth's solar radiation balance and potentially affect the formation of clouds, which could function as a counter-effect to global warming. Bacterioplankton are capable of converting DMSP into DMS via the enzyme DMSP lyase. But not all DMSP in the ocean is converted into DMS. A significant fraction of the DMSP available in the ocean is converted to methanethiol (MeSH) via the bacterial demethylation/demethiolation pathway, with a portion of the MeSH being assimilated as both a carbon and sulfur source. Here we test whether several other naturally-occurring dimethyl sulfonium compounds could be precursors of DMS and MeSH. To test this, we carried out experiments with estuarine water samples from Mobile Bay in the Northern Gulf of Mexico. After collection, unfiltered seawater and seawater filtrate samples, the later containing bacteria only, were treated with 50 nM additions of either 2-dimethylsulfononioacetate (DMSA) or S-Methylmethionine (SMM). After addition of the dimethyl sulfonium compounds, samples were analyzed for sulfur gases with Gas Chromatography-Flame Photometric Detection, using cryogenic-trapping techniques. Addition of DMSA resulted in an immediate increase in MeSH production in both seawater and seawater filtrate containing bacteria only, producing even more MeSH than DMSP. This suggests that DMSA is potentially a significant precursor for MeSH. DMS was not produced in significant amounts from DMSA. Addition of SMM resulted in low rates of both DMS and MeSH accumulation in both seawater samples, indicating that SMM may be a minor precursor for both gases compared to DMSP.

Distributions and Relationships of CO2, O2, and Dimethylsulfide in the Changjiang (Yangtze) Estuary and Its Adjacent Waters in Summer

NASA Astrophysics Data System (ADS)

Wu, Xi; Tan, Tingting; Liu, Chunying; Li, Tie; Liu, Xiaoshou; Yang, Guipeng

2018-04-01

The distributions and relationships of O2, CO2, and dimethylsulfide (DMS) in the Changjiang (Yangtze) Estuary and its adjacent waters were investigated in June 2014. In surface water, mean O2 saturation level, partial pressure of CO2 (pCO2), and DMS concentrations (and ranges) were 110% (89%-167%), 374 μatm (91-640 μatm), and 8.53 nmol L-1 (1.10-27.50 nmol L-1), respectively. The sea-to-air fluxes (and ranges) of DMS and CO2 were 8.24 μmol m-2 d-1 (0.26-62.77 μmol m-2 d-1), and -4.7 mmol m-2 d-1 (-110.8-31.7 mmol m-2 d-1), respectively. Dissolved O2 was oversaturated, DMS concentrations were relatively high, and this region served as a sink of atmospheric CO2. The pCO2 was significantly and negatively correlated with the O2 saturation level, while the DMS concentration showed different positive relationships with the O2 saturation level in different water masses. In vertical profiles, a hypoxic zone existed below 20 m at a longitude of 123°E. The stratification of temperature and salinity caused by the Taiwan Warm Current suppressed seawater exchange between upper and lower layers, resulting in the formation of a hypoxic zone. Oxidative decomposition of organic detritus carried by the Changjiang River Diluted Water (CRDW) consumed abundant O2 and produced additional CO2. The DMS concentrations decreased because of low phytoplankton biomass in the hypoxic zone. Strong correlations appeared between the O2 saturation level, pCO2 and DMS concentrations in vertical profiles. Our results strongly suggested that CRDW played an important role in the distributions and relationships of O2, CO2, and DMS.

DMS emissions from Sphagnum-dominated wetlands

NASA Technical Reports Server (NTRS)

Hines, Mark E.; Demello, William Zamboni; Bayley, Suzanne E.

1992-01-01

The role of terrestrial sources of biogenic S and their effect on atmospheric chemistry remain as major unanswered questions in our understanding of the natural S cycle. The role of northern wetlands as sources and sinks of gaseous S was investigated by measuring rates of S gas exchange as a function of season, hydrologic conditions, and gradients in trophic status. Experiments were conducted in wetlands in New Hampshire (NH), and in Mire 239, a poor fen at the Experimental Lakes Area (ELA) in Ontario. Emissions were determined using Teflon enclosures, gas cryotrapping methods, and GC with flame photometric detection. Emissions of DMS dominated fluxes. In NH, DMS fluxes were greater than 1.6 micromol/m(sup -2)d(sup -1) in early summer, 1989 when temperatures were warm and the water table was approximately 5 cm below the surface. These rates are several-fold faster than average oceanic rates of DMS emission. A rapid drop in the water table resulted in a 6-fold decrease in DMS emissions in late July. In 1990, a new beaver dam kept water levels above the surface and S emissions were much lower than during 1989. The elimination of the beaver and a drop in the water table in August produced a rapid increase in S gas emissions. Emissions of DMS were highest in the most oligotrophic areas. Mire 239 (ELA) was irrigated with sulfuric and nitric acids to simulate acid rain. S emissions were determined before and after an acidification event in control and experimental areas in both minerotrophic and oligotrophic regions. Emissions of DMS were higher in the acidified areas compared to unacidified controls. Emissions were also much higher in the oligotrophic regions compared to the minerotrophic ones. Despite the wide differences in S gas fluxes (20-fold), it was difficult to determine whether acidification or variations in trophic status was not responsible for differences in S gas emissions. DMS emitted into the atmosphere was not derived from the water table but originated in peat in the unsaturated zone.

Effects of inorganic sulfur addition on fluxes of volatile sulfur compounds in Sphagnum peatlands

NASA Technical Reports Server (NTRS)

Demello, William Zamboni; Hines, Mark E.; Bayley, Suzanne E.

1992-01-01

Short and long-term impacts of increased S deposition on fluxes of volatile S compounds (VSC's) from Sphagnum peatlands were investigated in an artificially acidified (sulfuric and nitric acids) poor fen (Mire 239) at the Experimental Lakes Area (ELA), Ontario, Canada. Additional experiments were conducted in a poor fen (Sallie's Fen) in Barrington, NH, USA. At Mire 239, emissions of VSC's were monitored, before and after acidification, at control (unacidified) and experimental sections within two major physiographic zones of the mire (oligotrophic and minerotrophic). The experimental segments of the mire received S amendments since 1983, in amounts equivalent to the annual S deposition in the highest polluted areas of Canada and U.S. Dimethyl sulfide (DMS) was the predominant VSC released from the mire and varied largely with time and space (i.e., from 2.5 to 127 nmol/m(sup -2)h(sup -1)). Sulfur addition did not affect DMS emissions in a period of hours to a few days, although it stimulated production of DMS and MSH in the anoxic surficial regions of the peat. DMS emissions in the experimental oligotrophic segment of the mire was approximately 3-fold greater than in the control oligotrophic segment, and approximately 10-fold greater than in the minerotrophic zones. These differences could be due to a combination of differences in types of vegetation, nutritional status, and S input. At Sallie's Fen, DMS fluxes were approximately 8 times higher from a Sphagnum site than from a bare peat site. Fluxes of VSC's were not significantly affected by sulfate amendments at both sites, while DMS and MSH concentrations increases greatly with time in the top 10 cm of the peat column. Our data indicated that although Sphagnum is not the direct source of DMS released from Sphagnum peatlands, it might play a role in regulating DMS emissions to the atmosphere.

Acute cocaine induced deficits in cognitive performance in rhesus macaque monkeys treated with baclofen

PubMed Central

Porrino, Linda J.; Hampson, Robert E.; Opris, Ioan; Deadwyler, Samuel A.

2013-01-01

Rationale Acute and/or chronic exposure to cocaine can affect cognitive performance, which may influence rate of recovery during treatment. Objective Effects of the GABA-B receptor agonist baclofen were assessed for potency to reverse the negative influence of acute, pre-session, intravenous (IV) injection of cocaine on cognitive performance in Macaca mulatta nonhuman primates. Methods Animals were trained to perform a modified delayed match to sample (DMS) task incorporating two types of trials with varying degrees of cognitive load that had different decision requirements in order to correctly utilize information retained over the delay interval. The effects of cocaine (0.2, 0.4, and 0.6 mg/kg, IV) alone and in combination with baclofen (0.29 and 0.40 mg/kg, IV) were examined with respect to sustained performance levels. Brain metabolic activity during performance of the task was assessed using PET imaged uptake of [18F]-fluorodeoxyglucose. Results Acute cocaine injections produced a dose-dependent decline in DMS performance selective for trials of high cognitive load. The GABA-receptor agonist baclofen, co-administered with cocaine, reversed task performance back to nondrug (saline IV) control levels. Simultaneous assessment of PET-imaged brain metabolic activity in prefrontal cortex (PFC) showed alterations by cocaine compared to PFC metabolic activation in nondrug (saline, IV) control DMS sessions, but like performance, PFC activation was returned to control levels by baclofen (0.40 mg/kg, IV) injected with cocaine. Conclusions The results show that baclofen, administered at a relatively high dose, reversed the cognitive deficits produced by acute cocaine intoxication that may have implications for use in chronic drug exposure. PMID:22836369

Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

ERIC Educational Resources Information Center

Landmesser, John Andrew

2014-01-01

Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

HUMAN HEALTH METRICS FOR ENVIRONMENTAL DECISION SUPPORT TOOLS: LESSONS FROM HEALTH ECONOMICS AND DECISION ANALYSIS: PUBLISHED REPORT

EPA Science Inventory

NRMRL-CIN-1351A Hofstetter**, P., and Hammitt, J. K. Human Health Metrics for Environmental Decision Support Tools: Lessons from Health Economics and Decision Analysis. EPA/600/R-01/104 (NTIS PB2002-102119). Decision makers using environmental decision support tools are often ...

Risk manager formula for success: Influencing decision making.

PubMed

Midgley, Mike

2017-10-01

Providing the ultimate decision makers with a quantitative risk analysis based on thoughtful assessment by the organization's experts enables an efficient decision. © 2017 American Society for Healthcare Risk Management of the American Hospital Association.

Who to Blame: Irrational Decision-Makers or Stupid Modelers? (Arne Richter Award for Outstanding Young Scientists Lecture)

NASA Astrophysics Data System (ADS)

Madani, Kaveh

2016-04-01

Water management benefits from a suite of modelling tools and techniques that help simplifying and understanding the complexities involved in managing water resource systems. Early water management models were mainly concerned with optimizing a single objective, related to the design, operations or management of water resource systems (e.g. economic cost, hydroelectricity production, reliability of water deliveries). Significant improvements in methodologies, computational capacity, and data availability over the last decades have resulted in developing more complex water management models that can now incorporate multiple objectives, various uncertainties, and big data. These models provide an improved understanding of complex water resource systems and provide opportunities for making positive impacts. Nevertheless, there remains an alarming mismatch between the optimal solutions developed by these models and the decisions made by managers and stakeholders of water resource systems. Modelers continue to consider decision makers as irrational agents who fail to implement the optimal solutions developed by sophisticated and mathematically rigours water management models. On the other hand, decision makers and stakeholders accuse modelers of being idealist, lacking a perfect understanding of reality, and developing 'smart' solutions that are not practical (stable). In this talk I will have a closer look at the mismatch between the optimality and stability of solutions and argue that conventional water resources management models suffer inherently from a full-cooperation assumption. According to this assumption, water resources management decisions are based on group rationality where in practice decisions are often based on individual rationality, making the group's optimal solution unstable for individually rational decision makers. I discuss how game theory can be used as an appropriate framework for addressing the irrational "rationality assumption" of water resources management models and for better capturing the social aspects of decision making in water management systems with multiple stakeholders.

Toward actionable science: Empowering ecologists to engage in the process of translation through decision-maker and stakeholder partnerships

NASA Astrophysics Data System (ADS)

Enquist, C.; Jackson, S. T.; Garfin, G. M.

2017-12-01

Translational ecology is an approach by which ecologists, stakeholders, and decision-makers work collaboratively to develop and deliver ecological research that, ideally, results in actionable science that leads to improved environmental decision-making. We analyzed a diverse array of real-world case studies and distilled six principles that characterize the practice of translational ecology: communication, commitment, collaboration, engagement, process, and decision-framing. In this talk, we highlight a subset of the case studies that illustrate these principles. Notably, we found that translational ecology is distinct from both basic and applied ecological research. As a practice, the approach deliberately extends research beyond theory or opportunistic applications, motivated by a search for outcomes that directly serve the needs of natural resource managers and decision-makers. Translational ecology is also distinct from knowledge co-production in that it does not require deep engagement between collaborators, although incorporating differing modes of co-production relative to the decision context, associated time frame, and available financial resources can greatly enhance the translational approach. Although there is a need for incentives to pursue in this type of work, we found that the creativity and context-specific knowledge of resource managers, practitioners, and decision-makers informs and enriches the scientific process, helping shape actionable science. Moreover, the process of addressing research questions arising from on-the-ground management issues, rather than from the top-down or expert-oriented perspectives of traditional science, can foster the long-term trust and commitment that is critical for long-term, sustained engagement between partners. Now, perhaps more than ever, the climate and environmental issues facing society are complex, often politicized, and value-laden. We argue that ecological science should play a key role in informing these problems and ecologists can engage as important partners committed to finding solutions. More broadly, scientists that embrace translational approaches are poised to make science-informed decision-making a reality in the face of a rapidly changing global environment.

Against all odds -- Probabilistic forecasts and decision making

NASA Astrophysics Data System (ADS)

Liechti, Katharina; Zappa, Massimiliano

2015-04-01

In the city of Zurich (Switzerland) the setting is such that the damage potential due to flooding of the river Sihl is estimated to about 5 billion US dollars. The flood forecasting system that is used by the administration for decision making runs continuously since 2007. It has a time horizon of max. five days and operates at hourly time steps. The flood forecasting system includes three different model chains. Two of those are run by the deterministic NWP models COSMO-2 and COSMO-7 and one is driven by the probabilistic NWP COSMO-Leps. The model chains are consistent since February 2010, so five full years are available for the evaluation for the system. The system was evaluated continuously and is a very nice example to present the added value that lies in probabilistic forecasts. The forecasts are available on an online-platform to the decision makers. Several graphical representations of the forecasts and forecast-history are available to support decision making and to rate the current situation. The communication between forecasters and decision-makers is quite close. To put it short, an ideal situation. However, an event or better put a non-event in summer 2014 showed that the knowledge about the general superiority of probabilistic forecasts doesn't necessarily mean that the decisions taken in a specific situation will be based on that probabilistic forecast. Some years of experience allow gaining confidence in the system, both for the forecasters and for the decision-makers. Even if from the theoretical point of view the handling during crisis situation is well designed, a first event demonstrated that the dialog with the decision-makers still lacks of exercise during such situations. We argue, that a false alarm is a needed experience to consolidate real-time emergency procedures relying on ensemble predictions. A missed event would probably also fit, but, in our case, we are very happy not to report about this option.

Decision Performance Using Spatial Decision Support Systems: A Geospatial Reasoning Ability Perspective

ERIC Educational Resources Information Center

Erskine, Michael A.

2013-01-01

As many consumer and business decision makers are utilizing Spatial Decision Support Systems (SDSS), a thorough understanding of how such decisions are made is crucial for the information systems domain. This dissertation presents six chapters encompassing a comprehensive analysis of the impact of geospatial reasoning ability on…

Decision-Making Phenomena Described by Expert Nurses Working in Urban Community Health Settings.

ERIC Educational Resources Information Center

Watkins, Mary P.

1998-01-01

Expert community health nurses (n=28) described crucial clinical situations. Content analysis revealed that decision making was both rational and intuitive. Eight themes were identified: decision-making focus, type, purpose, decision-maker characteristics, sequencing of events, data collection methods, facilitators/barriers, and decision-making…

49 CFR 1503.655 - Initial decision.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Rules of Practice in TSA Civil Penalty Actions § 1503.655 Initial decision. (a) Contents. The ALJ may... copies of that initial decision available to all parties and the TSA decision maker. (b) Written decision... ALJ is persuasive authority in any other civil penalty action, unless appealed and reversed by the TSA...

Health System Decision Makers' Feedback on Summaries and Tools Supporting the Use of Systematic Reviews: A Qualitative Study

ERIC Educational Resources Information Center

Ellen, Moriah E.; Lavis, John N.; Wilson, Michael G.; Grimshaw, Jeremy; Haynes, R. Brian; Ouimet, Mathieu; Raina, Parminder; Gruen, Russell

2014-01-01

Health system managers and policy makers need timely access to high quality, policy-relevant systematic reviews. Our objectives were to obtain managers' and policy makers' feedback about user-friendly summaries of systematic reviews and about tools related to supporting or assessing their use. Our interviews identified that participants prefer key…

The game of making decisions under uncertainty: How sure must one be?

NASA Astrophysics Data System (ADS)

Werner, Micha; Verkade, Jan; Wetterhall, Fredrik; van Andel, Schalk-Jan; Ramos, Maria-Helena

2016-04-01

Probabilistic hydrometeorological forecasting is now widely accepted to be more skillful than deterministic forecasts, and is increasingly being integrated into operational practice. Provided they are reliable and unbiased, probabilistic forecasts have the advantage that they give decision maker not only the forecast value, but also the uncertainty associated to that prediction. Though that information provides more insight, it does now leave the forecaster/decision maker with the challenge of deciding at what level of probability of a threshold being exceeded the decision to act should be taken. According to the cost-loss theory, that probability should be related to the impact of the threshold being exceeded. However, it is not entirely clear how easy it is for decision makers to follow that rule, even when the impact of a threshold being exceeded, and the actions to choose from are known. To continue the tradition in the "Ensemble Hydrometeorological Forecast" session, we will address the challenge of making decisions based on probabilistic forecasts through a game to be played with the audience. We will explore how decisions made differ depending on the known impacts of the forecasted events. Participants will be divided into a number of groups with differing levels of impact, and will be faced with a number of forecast situations. They will be asked to make decisions and record the consequence of those decisions. A discussion of the differences in the decisions made will be presented at the end of the game, with a fuller analysis later posted on the HEPEX web site blog (www.hepex.org).

At Least I Tried: The Relationship between Regulatory Focus and Regret Following Action vs. Inaction

PubMed Central

Itzkin, Adi; Van Dijk, Dina; Azar, Ofer H.

2016-01-01

Regret is an unpleasant feeling that may arise following decisions that ended poorly, and may affect the decision-maker's well-being and future decision making. Some studies show that a decision to act leads to greater regret than a decision not to act when both resulted in failure, because the latter is usually the norm. In some cases, when the norm is to act, this pattern is reversed. We suggest that the decision maker's regulatory focus, affects regret after action or inaction. Specifically, promotion-focused individuals, who tend to be more proactive, view action as more normal than prevention-focused individuals, and therefore experience regulatory fit when an action decision is made. Hence, we hypothesized that promotion-focused individuals will feel less regret than prevention-focused individuals when a decision to act ended poorly. In addition, we hypothesized that a trigger for change implied in the situation, decreases the level of regret following action. We tested our hypotheses on a sample of 330 participants enrolled in an online survey. The participants received six decision scenarios, in which they were asked to evaluate the level of regret following action and inaction. Individual regulatory focus was measured by two different scales. Promotion-focused individuals attributed less regret than prevention-focused individuals to action decisions. Regret following inaction was not affected by regulatory focus. In addition, a trigger for change decreases regret following action. Orthodox people tend to attribute more regret than non-orthodox to a person who made an action decision. The results contribute to the literature by showing that not only the situation but also the decision maker's orientation affects the regret after action vs. inaction. PMID:27833581

Gaining Momentum: How Media Influences Public Opinion To Push Civil-Military Decision Makers Into Formulating Foreign Policy

DTIC Science & Technology

2016-02-09

1 AIR WAR COLLEGE AIR UNIVERSITY GAINING MOMENTUM: HOW MEDIA INFLUENCES PUBLIC OPINION TO PUSH CIVIL-MILITARY DECISION MAKERS INTO...engagements from the past, evidence suggest the media or press does have an influence over public opinion, especially during times of war and humanitarian...changes and that leaders must take into consideration that public opinion and the media may provide a large amount of influence over how the nation