The effects of impression management demands on heart rate, self-reported social anxiety, and social competence in undergraduate males.

PubMed

Sheffer, C E; Penn, D L; Cassisi, J E

2001-01-01

The effects of self-presentation demands were evaluated through conversational probe (CP) role-play tasks. Participants (N = 29) were required to manage their self-presentations (i.e., the impression they made, in each of two conditions). During high impression management (IM) demand, participants were evaluated on their performance. During Low IM demand, participants evaluated a confederate's performance. The High IM demand condition produced significantly higher heart rate (HR) and self-reported anxiety. HR and self-reported anxiety accounted for a significant amount of the variance in criterion measures of social competence. Greater social competence during High IM was associated with higher HR. Greater social competence during Low IM was associated with lower HR and lower self-reported anxiety. Although preliminary, these results suggest that uncontrolled IM demands contributed to mixed results found within and between social anxiety studies in the literature. Implications for the treatment of social anxiety are discussed.

Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids

PubMed Central

Ali, S. M.; Mehmood, C. A; Khan, B.; Jawad, M.; Farid, U; Jadoon, J. K.; Ali, M.; Tareen, N. K.; Usman, S.; Majid, M.; Anwar, S. M.

2016-01-01

In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF) probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC) simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand) and independent variables (weather data) for utility load management, generation control, and network expansion. PMID:27314229

Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids.

PubMed

Ali, S M; Mehmood, C A; Khan, B; Jawad, M; Farid, U; Jadoon, J K; Ali, M; Tareen, N K; Usman, S; Majid, M; Anwar, S M

2016-01-01

In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF) probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC) simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand) and independent variables (weather data) for utility load management, generation control, and network expansion.

Modeling and managing urban water demand through smart meters: Benefits and challenges from current research and emerging trends

NASA Astrophysics Data System (ADS)

Cominola, A.; Giuliani, M.; Castelletti, A.; Piga, D.; Rizzoli, A. E.

2015-12-01

Urban population growth, climate and land use change are expected to boost residential water demand in urban contexts in the next decades. In such a context, developing suitable demand-side management strategies is essential to meet future water demands, pursue water savings, and reduce the costs for water utilities. Yet, the effectiveness of water demand management strategies (WDMS) relies on our understanding of water consumers' behavior, their consumption habits, and the water use drivers. While low spatial and temporal resolution water consumption data, as traditionally gathered for billing purposes, hardly support this understanding, the advent of high-resolution, smart metering technologies allowed for quasi real-time monitoring water consumption at the single household level. This, in turn, is advancing our ability in characterizing consumers' behavior, modeling, and designing user-oriented residential water demand management strategies. Several water smart metering programs have been rolled-out in the last two decades worldwide, addressing one or more of the following water demand management phases: (i) data gathering, (ii) water end-uses characterization, (iii) user modeling, (iv) design and implementation of personalized WDMS. Moreover, the number of research studies in this domain is quickly increasing and big economic investments are currently being devoted worldwide to smart metering programs. With this work, we contribute the first comprehensive review of more than 100 experiences in the field of residential water demand modeling and management, and we propose a general framework for their classification. We revise consolidated practices, identify emerging trends and highlight the challenges and opportunities for future developments given by the use of smart meters advancing residential water demand management. Our analysis of the status quo of smart urban water demand management research and market constitutes a structured collection of information supporting the development of integrated procedures in the field of urban water management, as well as common actions aiding the collaboration with other sectors, as the nexus with energy demand management.

Improving the cost effectiveness of financial incentives in managing travel demand management (TDM) : [technical summary].

DOT National Transportation Integrated Search

2013-10-01

During the last two decades, financial incentives : have become common in efforts to reduce : demand on roadways by motivating commuters to : use alternative modes of transportation. Despite : common use, limited effort has been made to : understand ...

Effective Strategy Formation Models for Inventory Management under the Conditions of Uncertainty

ERIC Educational Resources Information Center

Kosorukov, Oleg Anatolyevich; Sviridova, Olga Alexandrovna

2015-01-01

The article deals with the problem of modeling the commodity flows management of a trading company under the conditions of uncertain demand and long supply. The Author presents an analysis of modifications of diversified inventory management system with random demand, for which one can find the optimal inventory control strategies, including those…

Ridesharing: Transportation demand management

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

Valdez, R.; Wang, J.; Flynn, C.P.

1989-01-01

The 13 papers in the report deal with the following areas: Comparison of transportation demand management market research study results and transportation management association development in three suburban activity centers; Ten cities' strategies for transportation demand management; Key considerations for developing local government transportation system management programs; First Hill Action Plan: A unique public/private approach to transportation demand management; Comparison of travel behavior before and after the opening of HOV lanes in a suburban travel corridor; Evaluation of Springfield instant carpooling; George Washington Bridge bus-carpool lane: 1-Year Operational Report; Guaranteed Ride Home: An insurance program for HOV users; Evaluation ofmore » Ridefinders and Central Richmond Association's transportation and parking information service; Vanpools: Pricing and market penetration; Cost-effectiveness of private employer ridesharing programs: An employer's assessment; Temporal analysis of handicapped ridership in specialized transportation service: Lexington/Fayette County experience; Characterization of the 'publico' system of Puerto Rico.« less

Are core self-evaluations a suitable moderator in stressor-detachment relationships? A study among managers' perceived job demands, detachment and strain reactions.

PubMed

Hentrich, Stephan; Zimber, Andreas; Sosnowsky-Waschek, Nadia; Gregersen, Sabine; Petermann, Franz

2018-01-01

The relationships among job demands, personality factors, recovery and psychological health receive increasing attention but are not well understoodOBJECTIVE:Therefore, the present study tests moderating effects among a sample of managers as proposed by the stressor-detachment model. We aimed to determine whether core self-evaluations (CSE) had an influence on the correlations between detachment and strain reactions (depressive symptoms, irritation, exhaustion) and between job demands and detachment. Further, we tested whether detachment attenuates the positive relation between job demands and strain reactions. A convenience sample of managers in three German settings (N = 282) participated in the cross-sectional study. Results based on hierarchical regression analysis showed that high CSE significantly weakened the negative relationship between detachment and depressive symptoms in this sample. However, CSE did not moderate the negative relationship between job demands and detachment. Moreover, results revealed that detachment moderated the positive relation between job demands and exhaustion. The authors tested whether CSE was able to moderate the relationship between job demands, psychological detachment and different stress reactions. Although we found a significant interaction effect, CSE may be too distal to moderate all respective associations.

Literacy Audit of Maintenance Workers. Final Report.

ERIC Educational Resources Information Center

Gold, Patricia; Packer, Arnold

An 18-month national literacy audit of maintenance worker jobs in multifamily apartment complexes sought to find out: (1) the literacy demands for their job success and promotion; (2) the effects of geographical location on their literacy demands; (3) the effects of management policies on their literacy demands; (4) the impact of illiteracy on…

Leadership Skills and Challenges in Hospitality Management Education

ERIC Educational Resources Information Center

Kalargyrou, Valentini

2009-01-01

Leaders in hospitality management education face diverse challenges in today's competitive and changing environment. Evolving demands from superiors, financial challenges, and faculty and students increasing demands, create a turbulent environment in which administrators must thrive. One of the keys in being effective leaders is the application of…

Workaholism and mental health problems among municipal middle managers in Norway.

PubMed

Midje, Hilde H; Nafstad, Ingunn T; Syse, Jonn; Torp, Steffen

2014-10-01

To provide empirical knowledge about the antecedents and outcomes of workaholism among municipal middle managers within the framework of the job demands-resources model. We used a self-administered questionnaire to collect cross-sectional data (n = 118) on job demands, job resources, work engagement, workaholism, and mental health problems. Workaholism correlated positively with both work engagement and mental health problems. Job demands affected workaholism and mental health problems more strongly than did job resources. The results indicate that workaholism does not mediate the effects of certain work characteristics on mental health problems, but rather that workaholics create excessive job demands that harm their health. Preventing workaholism should be a central concern of municipal stakeholders because workaholic behavior among middle managers may harm organizational performance and employee health and middle managers' own health.

Experimental restoration of coppice-with-standards: Response of understorey vegetation from the conservation perspective.

PubMed

Vild, Ondřej; Roleček, Jan; Hédl, Radim; Kopecký, Martin; Utinek, Dušan

2013-12-15

A substantial part of European lowland woodlands was managed as coppices or wood pastures for millennia. However, traditional management forms were almost completely abandoned in Central Europe by the middle of the 20th century. Combined with the effects of nitrogen deposition and herbivore pressure, shifts in management resulted in biodiversity loss affecting particularly light-demanding oligotrophic plant species. Experimental thinning was applied in a former oak coppice-with-standards in an attempt to restore vanishing understorey plant communities. Two levels of thinning intensity and zero management as control were used on 90 plots. Ten years after the treatment, significant changes in species composition and diversity were observed in heavily thinned plots, while moderate thinning had mostly insignificant effects. Light-demanding oligotrophic species significantly increased, indicating positive consequences of restoration. However, heavy thinning also brought about the expansion of native ruderal species. Alien species remained unchanged. We conclude that the restoration of coppice-with-standards can be an efficient tool to support vanishing light-demanding woodland species. Combined with biodiversity benefits, the increasing demand for biofuel may contribute to the renaissance of traditional management forms in forestry.

Predictors and Effects of Knowledge Management in U.S. Colleges and Schools of Pharmacy

ERIC Educational Resources Information Center

Watcharadamrongkun, Suntaree

2012-01-01

Public demands for accountability in higher education have placed increasing pressure on institutions to document their achievement of critical outcomes. These demands also have had wide-reaching implications for the development and enforcement of accreditation standards, including those governing pharmacy education. The knowledge management (KM)…

Job demands, resources and mental health in UK prison officers.

PubMed

Kinman, G; Clements, A J; Hart, J

2017-08-01

Research findings indicate that working as a prison officer can be highly stressful, but the aspects of work that predict their mental health status are largely unknown. To examine, using elements of the demands-resources model, the extent to which work pressure and several potential resources (i.e. control, support from managers and co-workers, role clarity, effective working relationships and positive change management) predict mental health in a sample of UK prison officers. The Health and Safety Executive Management Standards Indicator Tool was used to measure job demands and resources. Mental health was assessed by the General Health Questionnaire-28. The effects of demands and resources on mental health were examined via linear regression analysis with GHQ score as the outcome. The study sample comprised 1267 prison officers (86% male). Seventy-four per cent met 'caseness' criteria for mental health problems. Job demands, poor interpersonal relationships, role ambiguity and, to a lesser extent, low job control and poor management of change were key predictors of mental health status. The findings of this study can help occupational health practitioners and psychologists develop structured interventions to improve well-being among prison officers. © The Author 2017. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Advertising and the Management of Aggregate Consumer Demand: A Cross-National Test of the Galbraithian Argument.

ERIC Educational Resources Information Center

Quarles, Rebecca C.; And Others

John Kenneth Galbraith maintains that advertising is the prime instrument for the management of total consumer demand and results in increased consumption. Galbraith also maintains that television is a more effective advertising tool, in that it reaches people in all spectrums of intelligence. Other economists disagree, holding that it is actually…

Utilizing Brassicaceae seed meal as a soil amendment to suppress weed and soil borne pathogens

USDA-ARS?s Scientific Manuscript database

Increased demand for organic and sustainable agricultural production systems and restrictions on registration and use of toxic synthetic pesticides have generated demand for effective non-synthetic and environmentally friendly alternative weed and pathogen management strategies. Lack of effective a...

Demand Side Management: An approach to peak load smoothing

NASA Astrophysics Data System (ADS)

Gupta, Prachi

A preliminary national-level analysis was conducted to determine whether Demand Side Management (DSM) programs introduced by electric utilities since 1992 have made any progress towards their stated goal of reducing peak load demand. Estimates implied that DSM has a very small effect on peak load reduction and there is substantial regional and end-user variability. A limited scholarly literature on DSM also provides evidence in support of a positive effect of demand response programs. Yet, none of these studies examine the question of how DSM affects peak load at the micro-level by influencing end-users' response to prices. After nearly three decades of experience with DSM, controversy remains over how effective these programs have been. This dissertation considers regional analyses that explore both demand-side solutions and supply-side interventions. On the demand side, models are estimated to provide in-depth evidence of end-user consumption patterns for each North American Electric Reliability Corporation (NERC) region, helping to identify sectors in regions that have made a substantial contribution to peak load reduction. The empirical evidence supports the initial hypothesis that there is substantial regional and end-user variability of reductions in peak demand. These results are quite robust in rapidly-urbanizing regions, where air conditioning and lighting load is substantially higher, and regions where the summer peak is more pronounced than the winter peak. It is also evident from the regional experiences that active government involvement, as shaped by state regulations in the last few years, has been successful in promoting DSM programs, and perhaps for the same reason we witness an uptick in peak load reductions in the years 2008 and 2009. On the supply side, we estimate the effectiveness of DSM programs by analyzing the growth of capacity margin with the introduction of DSM programs. The results indicate that DSM has been successful in offsetting the need for additional production capacity by the means of demand response measures, but the success is limited to only a few regions. The rate of progress in the future will depend on a wide range of improved technologies and a continuous government monitoring for successful adoption of demand response programs to manage growing energy demand.

The effects of managed care and prospective payment on the demand for hospital nurses: evidence from California.

PubMed

Spetz, J

1999-12-01

To examine the effects of managed care and the prospective payment system on the hospital employment of registered nurses (RNs), licensed practical nurses (LPNs), and aides. Hospital-level data from California's Office of Statewide Health Planning and Development (OSHPD) Hospital Disclosure Reports from 1976/1977 through 1994/1995. Additional information is extracted from OSHPD Patient Discharge Data. Multivariate regression equations are used to estimate demand for nurses as a function of wages, hospital output, technology level, and ownership. Separate equations are estimated for RNs, LPNs, and aides for all daily services and for medical-surgical units. Instrumental variables are used to correct for the endogeneity of wages, and fixed effects are included to control for unobserved differences across hospitals. HMOs are associated with a lower use of LPNs and aides, and HMOs do not have a statistically significant effect on the demand for RNs. Managed care has a smaller effect on nurse staffing in medical-surgical units than in daily service units as a whole. The prospective payment system does not have a statistically significant effect on nurse staffing. HMOs have affected nursing employment both because HMOs have reduced the number of discharges and because of a direct relationship between HMO penetration and the demand for LPNs and aides. Contrary to press reports, LPNs and aides have been affected more by HMOs than have registered nurses.

Designing cost effective water demand management programs in Australia.

PubMed

White, S B; Fane, S A

2002-01-01

This paper describes recent experience with integrated resource planning (IRP) and the application of least cost planning (LCP) for the evaluation of demand management strategies in urban water. Two Australian case studies, Sydney and Northern New South Wales (NSW) are used in illustration. LCP can determine the most cost effective means of providing water services or alternatively the cheapest forms of water conservation. LCP contrasts to a traditional approach of evaluation which looks only at means of increasing supply. Detailed investigation of water usage, known as end-use analysis, is required for LCP. End-use analysis allows both rigorous demand forecasting, and the development and evaluation of conservation strategies. Strategies include education campaigns, increasing water use efficiency and promoting wastewater reuse or rainwater tanks. The optimal mix of conservation strategies and conventional capacity expansion is identified based on levelised unit cost. IRP uses LCP in the iterative process, evaluating and assessing options, investing in selected options, measuring the results, and then re-evaluating options. Key to this process is the design of cost effective demand management programs. IRP however includes a range of parameters beyond least economic cost in the planning process and program designs, including uncertainty, benefit partitioning and implementation considerations.

8 Different approaches needed to manage ED demand among different age-groups.

PubMed

Rimmer, Melanie; Ablard, Suzanne; O'Keeffe, Colin; Mason, Suzanne

2017-12-01

A variety of interventions have been proposed to manage rising demand for Emergency and Urgent Care, described by an NHS England review as unsustainable in the long term. However it is unlikely that any suggested approach will be equally suitable for the diverse population of ED users.We aimed to understand the patterns of demand amongst different types of patients attending ED. We also sought to understand the intended and unintended effects of demand management initiatives. Our study combined insights from routine data, a survey of ED patients, and qualitative interviews with ED staff. This paper describes the results of our analysis of the interviews. We conducted semi-structured interviews with 25 ED and Urgent Care Centre staff across 7 hospital sites in Yorkshire and Humber between 25 April and 11 July 2016. The interview topic guide asked about 4 broad areas; job role, description of patients and their impact on demand, description of inappropriate attendance, and current/future initiatives to deal with rising demand. Interviews were transcribed verbatim and analysed using framework analysis. We analysed the results to identify groups of patients with different patterns of use of ED services. We also explored ED staff experiences of demand management initiatives, and their suggestions for future initiatives. Although we did not ask specifically about patients' age, our analysis revealed that ED staff categorised attenders as children and young people, working age people, and older people. These groups had different reasons for attendance, different routes to the ED, different rate of non-urgent attendance, and different issues driving demand. Staff also described variation in the time taken to treat patients of different ages, with the oldest and youngest patients described as requiring the most time.There was no consensus amongst staff about the effectiveness of initiatives for managing demand. A strikingly wide variety of initiatives were mentioned including patient education, co-location of other services with ED ('ED hubs'), and extending community-based services. ED staff attribute distinctly different patterns of ED attendance to patients of different age groups, including reasons for attending ED, the route to the ED, and the rate of non-urgent attendance. Given this variation, proposed demand management interventions are likely to impact differently on different age groups, and one solution is unlikely to be optimal for all ages. Therefore a number of different approaches will be needed to manage ED demand among different age groups. © 2017, 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.

Price elasticity reconsidered: Panel estimation of an agricultural water demand function

NASA Astrophysics Data System (ADS)

Schoengold, Karina; Sunding, David L.; Moreno, Georgina

2006-09-01

Using panel data from a period of water rate reform, this paper estimates the price elasticity of irrigation water demand. Price elasticity is decomposed into the direct effect of water management and the indirect effect of water price on choice of output and irrigation technology. The model is estimated using an instrumental variables strategy to account for the endogeneity of technology and output choices in the water demand equation. Estimation results indicate that the price elasticity of agricultural water demand is -0.79, which is greater than that found in previous studies.

The effect of managed care on the incomes of primary care and specialty physicians.

PubMed

Simon, C J; Dranove, D; White, W D

1998-08-01

To determine the effects of managed care growth on the incomes of primary care and specialist physicians. Data on physician income and managed care penetration from the American Medical Association, Socioeconomic Monitoring System (SMS) Surveys for 1985 and 1993. We use secondary data from the Area Resource File and U.S. Census publications to construct geographical socioeconomic control variables, and we examine data from the National Residency Matching Program. Two-stage least squares regressions are estimated to determine the effect of local managed care penetration on specialty-specific physician incomes, while controlling for factors associated with local variation in supply and demand and accounting for the potential endogeneity of managed care penetration. The SMS survey is an annual telephone survey conducted by the American Medical Association of approximately one percent of nonfederal, post-residency U.S. physicians. Response rates average 60-70 percent, and analysis is weighted to account for nonresponse bias. The incomes of primary care physicians rose most rapidly in states with higher managed care growth, while the income growth of hospital-based specialists was negatively associated with managed care growth. Incomes of medical subspecialists were not significantly affected by managed care growth over this period. These findings are consistent with trends in postgraduate training choices of new physicians. Evidence is consistent with a relative increase in the demand for primary care physicians and a decline in the demand for some specialists under managed care. Market adjustments have important implications for health policy and physician workforce planning.

Integrating the simulation of domestic water demand behaviour to an urban water model using agent based modelling

NASA Astrophysics Data System (ADS)

Koutiva, Ifigeneia; Makropoulos, Christos

2015-04-01

The urban water system's sustainable evolution requires tools that can analyse and simulate the complete cycle including both physical and cultural environments. One of the main challenges, in this regard, is the design and development of tools that are able to simulate the society's water demand behaviour and the way policy measures affect it. The effects of these policy measures are a function of personal opinions that subsequently lead to the formation of people's attitudes. These attitudes will eventually form behaviours. This work presents the design of an ABM tool for addressing the social dimension of the urban water system. The created tool, called Urban Water Agents' Behaviour (UWAB) model, was implemented, using the NetLogo agent programming language. The main aim of the UWAB model is to capture the effects of policies and environmental pressures to water conservation behaviour of urban households. The model consists of agents representing urban households that are linked to each other creating a social network that influences the water conservation behaviour of its members. Household agents are influenced as well by policies and environmental pressures, such as drought. The UWAB model simulates behaviour resulting in the evolution of water conservation within an urban population. The final outcome of the model is the evolution of the distribution of different conservation levels (no, low, high) to the selected urban population. In addition, UWAB is implemented in combination with an existing urban water management simulation tool, the Urban Water Optioneering Tool (UWOT) in order to create a modelling platform aiming to facilitate an adaptive approach of water resources management. For the purposes of this proposed modelling platform, UWOT is used in a twofold manner: (1) to simulate domestic water demand evolution and (2) to simulate the response of the water system to the domestic water demand evolution. The main advantage of the UWAB - UWOT model integration is that it allows the investigation of the effects of different water demand management strategies to an urban population's water demand behaviour and ultimately the effects of these policies to the volume of domestic water demand and the water resources system. The proposed modelling platform is optimised to simulate the effects of water policies during the Athens drought period of 1988-1994. The calibrated modelling platform is then applied to evaluate scenarios of water supply, water demand and water demand management strategies.

Impact of a fatigue management in work programme on meeting work demands of individuals with rheumatic diseases: A pilot study.

PubMed

McCormack, Róisín C; O'Shea, Finbar; Doran, Michele; Connolly, Deirdre

2018-03-25

Work disability and job loss are serious consequences of rheumatic diseases (RDs), and fatigue is a symptom of RDs commonly reported to have an impact on work performance. A FAtigue ManagEment in Work (FAME-W) programme was developed to facilitate the self-management of fatigue in work. The present pilot study explored if FAME-W could facilitate individuals with RDs to manage fatigue in work and improve their ability to meet work demands. Twenty-seven individuals with a variety of rheumatic diagnoses completed a 4-week, 2-h occupational therapy-led self-management programme. Each week focused on fatigue-related topics, including fatigue and activity management, pain management and joint protection, mental well-being, effective communication with employers and work colleagues, and employment legislation. Individual workplace ergonomic assessments were also offered. Study measures (work function, fatigue, pain, mood and self-efficacy) were completed prior to starting FAME-W, immediately post-intervention and 12 weeks post-intervention. Participants (56% male) had a mean age of 43 years. No significant improvements were observed immediately post-programme. However, at the 12-week follow-up, significant improvements were reported in meeting work demands (scheduling [p = 0.046], output [p = 0.002], physical [p = 0.003], mental [p = 0.016]), fatigue [p = 0.001], pain [p = 0.01], anxiety [p = 0.001], depression [p < 0.001], self-efficacy [p < 0.001] and Arthritis Impact Measurement Scales 2-Short Form (physical: p = 0.005; symptoms: p = 0.010; affect: p = 0.010; social: p = 0.001). Significant improvements were reported in participants' ability to meet various demands of their work 3 months post-FAME-W. These findings suggest that FAME-W has the potential to assist individuals with RDs to meet the demands of their work, although further research is required to test the effectiveness of this intervention. Copyright © 2018 John Wiley & Sons, Ltd.

Application of Water Evaluation and Planning Model for Integrated Water Resources Management: Case Study of Langat River Basin, Malaysia

NASA Astrophysics Data System (ADS)

Leong, W. K.; Lai, S. H.

2017-06-01

Due to the effects of climate change and the increasing demand on water, sustainable development in term of water resources management has become a major challenge. In this context, the application of simulation models is useful to duel with the uncertainty and complexity of water system by providing stakeholders with the best solution. This paper outlines an integrated management planning network is developed based on Water Evaluation and Planning (WEAP) to evaluate current and future water management system of Langat River Basin, Malaysia under various scenarios. The WEAP model is known as an integrated decision support system investigate major stresses on demand and supply in terms of water availability in catchment scale. In fact, WEAP is applicable to simulate complex systems including various sectors within a single catchment or transboundary river system. To construct the model, by taking account of the Langat catchment and the corresponding demand points, we defined the hydrological model into 10 sub-hydrological catchments and 17 demand points included the export of treated water to the major cities outside the catchment. The model is calibrated and verified by several quantitative statistics (coefficient of determination, R2; Nash-Sutcliffe efficiency, NSE and Percent bias, PBIAS). The trend of supply and demand in the catchment is evaluated under three scenarios to 2050, 1: Population growth rate, 2: Demand side management (DSM) and 3: Combination of DSM and reduce non-revenue water (NRW). Results show that by reducing NRW and proper DSM, unmet demand able to reduce significantly.

Accurate Estimation of Target amounts Using Expanded BASS Model for Demand-Side Management

NASA Astrophysics Data System (ADS)

Kim, Hyun-Woong; Park, Jong-Jin; Kim, Jin-O.

2008-10-01

The electricity demand in Korea has rapidly increased along with a steady economic growth since 1970s. Therefore Korea has positively propelled not only SSM (Supply-Side Management) but also DSM (Demand-Side Management) activities to reduce investment cost of generating units and to save supply costs of electricity through the enhancement of whole national energy utilization efficiency. However study for rebate, which have influence on success or failure on DSM program, is not sufficient. This paper executed to modeling mathematically expanded Bass model considering rebates, which have influence on penetration amounts for DSM program. To reflect rebate effect more preciously, the pricing function using in expanded Bass model directly reflects response of potential participants for rebate level.

Effectively managing consumer fuel price driven transit demand.

DOT National Transportation Integrated Search

2013-05-01

This study presents a literature review of transit demand elasticities with respect to gas prices, describes features of a transit service area population that may be more sensitive to fuel prices, identifies where stress points in the family of tran...

Analytical optimization of demand management strategies across all urban water use sectors

NASA Astrophysics Data System (ADS)

Friedman, Kenneth; Heaney, James P.; Morales, Miguel; Palenchar, John

2014-07-01

An effective urban water demand management program can greatly influence both peak and average demand and therefore long-term water supply and infrastructure planning. Although a theoretical framework for evaluating residential indoor demand management has been well established, little has been done to evaluate other water use sectors such as residential irrigation in a compatible manner for integrating these results into an overall solution. This paper presents a systematic procedure to evaluate the optimal blend of single family residential irrigation demand management strategies to achieve a specified goal based on performance functions derived from parcel level tax assessor's data linked to customer level monthly water billing data. This framework is then generalized to apply to any urban water sector, as exponential functions can be fit to all resulting cumulative water savings functions. Two alternative formulations are presented: maximize net benefits, or minimize total costs subject to satisfying a target water savings. Explicit analytical solutions are presented for both formulations based on appropriate exponential best fits of performance functions. A direct result of this solution is the dual variable which represents the marginal cost of water saved at a specified target water savings goal. A case study of 16,303 single family irrigators in Gainesville Regional Utilities utilizing high quality tax assessor and monthly billing data along with parcel level GIS data provide an illustrative example of these techniques. Spatial clustering of targeted homes can be easily performed in GIS to identify priority demand management areas.

Health promotion and disease prevention: a look at demand management programs.

PubMed

Fronstin, P

1996-09-01

This Issue Brief describes employers' efforts to contain health expenditures through demand management programs. These programs are designed to reduce utilization by focusing on disease prevention and health promotion. Demand management includes work site health promotion, wellness programs, and access management. Work site health promotion is a comprehensive approach to improving health and includes awareness, health education, behavioral change, and organizational health initiatives. Wellness programs usually include stress management, smoking cessation, weight management, back care, health screenings, nutrition education, work place safety, prenatal and well baby care, CPR and first aid classes, and employee assistance programs (EAPs). These programs are often viewed positively by workers and can have long-term benefits for employers above and beyond health care cost containment. Demand management can benefit employers by increasing productivity, employee retention, and employee morale and by reducing turnover, absenteeism, future medical claims, and ultimately expenditures on health care. Even though a growing number of employers are offering wellness programs, only 37 percent of full-time workers employed in medium and large private establishments were eligible for wellness programs by 1993. However, a recent survey found that 88 percent of major employers have introduced some form of health promotion, disease prevention, or early intervention initiative to encourage healthy lifestyles among their salaried employees. Distinctions must be drawn between short- and long-term strategies. Demand management can be thought of as a short-term strategy when the focus of the program is on creating more appropriate and efficient health care utilization. Disease prevention is characterized by longer-term health improvement objectives. Whether the purpose is to reduce utilization in the short term or in the long term, the ultimate goal remains the same: to reduce health care expenditures while improving overall health. This goal can be achieved through the use of health risk appraisals, organizational health risk appraisals, high risk programs, awareness programs, medical call centers, return to work programs, EAPs, and smoking cessation programs. Studies of a health program's cost effectiveness must disentangle the effects of many competing factors on cost effectiveness. For example, a health risk appraisal program may identify health problems of which the patient and the health care provider were unaware, resulting in the treatment of these health problems. At the same time, the employer may have switched from a nonmanaged pharmaceutical program to a managed program with incentives for participants to utilize generic and/or mail order drugs. As a result, when evaluating a health promotion program, the long-run impact on the program's cost effectiveness is most important.

A decision support tool for sustainable planning of urban water systems: presenting the Dynamic Urban Water Simulation Model.

PubMed

Willuweit, Lars; O'Sullivan, John J

2013-12-15

Population growth, urbanisation and climate change represent significant pressures on urban water resources, requiring water managers to consider a wider array of management options that account for economic, social and environmental factors. The Dynamic Urban Water Simulation Model (DUWSiM) developed in this study links urban water balance concepts with the land use dynamics model MOLAND and the climate model LARS-WG, providing a platform for long term planning of urban water supply and water demand by analysing the effects of urbanisation scenarios and climatic changes on the urban water cycle. Based on potential urbanisation scenarios and their effects on a city's water cycle, DUWSiM provides the functionality for assessing the feasibility of centralised and decentralised water supply and water demand management options based on forecasted water demand, stormwater and wastewater generation, whole life cost and energy and potential for water recycling. DUWSiM has been tested using data from Dublin, the capital of Ireland, and it has been shown that the model is able to satisfactorily predict water demand and stormwater runoff. Copyright © 2013 Elsevier Ltd. All rights reserved.

Managing job stress in nursing: what kind of resources do we need?

PubMed

van den Tooren, Marieke; de Jonge, Jan

2008-07-01

This paper is a report of a study to investigate the functionality of different kinds of job resources for managing job stress in nursing. There is increasing recognition that healthcare staff, and especially nurses, are at high risk for burnout and physical complaints. Several researchers have proposed that job resources moderate the relationship between job demands and job-related outcomes, particularly when there is a match between the type of demands, resources, and outcomes. Based on the Demand-Induced Strain Compensation Model, cross-sectional survey data were collected between November 2006 and February 2007 by a paper-and-pencil questionnaire. The final sample consisted of 69 nurses from a Dutch nursing home (response rate 59.4%). Data were analyzed by hierarchical regression analyses. High physical demands had adverse effects on both physical complaints and emotional exhaustion (i.e. burnout), unless employees had high physical resources. A similar pattern was found for high physical demands and emotional resources in predicting emotional exhaustion. The likelihood of finding theoretically-valid moderating effects was related to the degree of match between demands, resources, and outcomes. Job resources do not randomly moderate the relationship between job demands and job-related outcomes. Both physical and emotional resources seem to be important stress buffers for human service employees such as nurses, and their moderating effects underline the importance of specific job resources in healthcare work. Job redesign in nursing homes should therefore primarily focus on matching job resources to job demands in order to diminish poor health and ill-being.

23 CFR 450.320 - Congestion management process in transportation management areas.

Code of Federal Regulations, 2010 CFR

2010-04-01

... travel demand reduction and operational management strategies. (b) The development of a congestion... appropriate analysis of reasonable (including multimodal) travel demand reduction and operational management... the analysis demonstrates that travel demand reduction and operational management strategies cannot...

Electric Motor Thermal Management R&D

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

Bennion, Kevin

2016-06-07

Thermal management enables more efficient and cost-effective motors. This Annual Merit Review presentation describes the technical accomplishments and progress in electric motor thermal management R&D over the last year. This project supports a broad industry demand for data, analysis methods, and experimental techniques to improve and better understand motor thermal management.

Electric Motor Thermal Management

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

Bennion, Kevin S

Thermal management enables more efficient and cost-effective motors. This Annual Merit Review presentation describes the technical accomplishments and progress in electric motor thermal management R&D over the last year. This project supports a broad industry demand for data, analysis methods, and experimental techniques to improve and better understand motor thermal management.

A supply chain contract with flexibility as a risk-sharing mechanism for demand forecasting

NASA Astrophysics Data System (ADS)

Kim, Whan-Seon

2013-06-01

Demand forecasting is one of the main causes of the bullwhip effect in a supply chain. As a countermeasure for demand uncertainty as well as a risk-sharing mechanism for demand forecasting in a supply chain, this article studies a bilateral contract with order quantity flexibility. Under the contract, the buyer places orders in advance for the predetermined horizons and makes minimum purchase commitments. The supplier, in return, provides the buyer with the flexibility to adjust the order quantities later, according to the most updated demand information. To conduct comparative simulations, four-echelon supply chain models, that employ the contracts and different forecasting techniques under dynamic market demands, are developed. The simulation outcomes show that demand fluctuation can be effectively absorbed by the contract scheme, which enables better inventory management and customer service. Furthermore, it has been verified that the contract scheme under study plays a role as an effective coordination mechanism in a decentralised supply chain.

New soil water sensors for irrigation management

USDA-ARS?s Scientific Manuscript database

Effective irrigation management is key to obtaining the most crop production per unit of water applied and increasing production in the face of competing demands on water resources. Management methods have included calculating crop water needs based on weather station measurements, calculating soil ...

Intermittent and on-demand use of proton pump inhibitors in the management of symptomatic gastroesophageal reflux disease.

PubMed

Bardhan, Karna Dev

2003-03-01

The epidemic of gastroesophageal reflux disease (GERD) in industrialized nations is currently spreading to less-developed ones, with more than half of the patients having symptomatic or mild erosive GERD. The long-term management of GERD has been dominated by daily maintenance treatment with proton pump inhibitors (PPI) to prevent relapse. It is common, however, for many patients with mild disease and infrequent symptom relapses to use a PPI only when symptoms demand. Patients with symptomatic or mild erosive GERD are therefore ideal for on-demand or intermittent treatment. The efficacy of such a strategy of intermittent treatment, or treatment of symptoms on demand, has recently been evaluated in four randomized controlled studies. These trials demonstrate that such therapeutic strategies reduce symptoms, improve quality of life, and are cost effective. In clinical practice, the author has found these treatment strategies suitable for approximately 60% of newly diagnosed patients with GERD for the long-term management of symptomatic GERD of mild or moderate severity.

Is irrigation water price an effective leverage for water management? An empirical study in the middle reaches of the Heihe River basin

NASA Astrophysics Data System (ADS)

Zhou, Qing; Wu, Feng; Zhang, Qian

Serious water scarcity, low water-use efficiency, and over-exploitation of underground water have hindered socio-economic development and led to environmental degradation in the Heihe River basin, northwestern China. Price leveraging is an important tool in water demand management, and it is considered to be effective in promoting water conservation and improving water use efficiency on the premise that water demand is elastic. In the present study, we examine whether price is an effective and applicable instrument for restraining the increasing demand for agricultural irrigation water in the middle reaches of the Heihe River basin and how will it affect farmers' decisions on irrigation and crop structure. Specifically, the price elasticity of agricultural water demand was estimated based on the irrigation water demand function. The results show that the agricultural irrigation water price is statistically significant, but its elasticity is very low under current low water price. Price leverage cannot play a significant role in the context of the current pricing regime and farmers' response to price increase is intrinsically weak. To create incentives for conserving water and improving irrigation efficiency, price mechanism should be accompanied with clearly defined and legally enforceable water rights, restricted water quota measures, and reform of water authorities and water-user associations. Furthermore, increases of surface irrigation water price may lead to the over-withdrawal of groundwater, consequently, effective groundwater licensing and levying must take place to limit the total volume of groundwater withdrawal. In all, improving irrigation efficiency through better management and the adoption of water-saving technologies is the ultimate way to deal with the challenges facing irrigated agriculture in the middle reaches of the Heihe River basin.

Faculty Development: An Imperative for the Nineties.

ERIC Educational Resources Information Center

Nies, Joyce I.

1990-01-01

Budget constraints and changing enrollment patterns have expanded the concept of faculty development to include retraining. In home economics, retraining faculty for high demand areas such as hotel/restaurant management and fashion merchandising can be an efficient use of resources and an effective way to meet demand. (SK)

Avian community composition associated with interactions between local and landscape habitat attributes

Treesearch

Andrew J. Kroll; You Ren; Jay E. Jones; Jack Giovanini; Roger W. Perry; Ronald E. Thill; Don White; T. Bently Wigley

2014-01-01

As human demand for ecosystem products increases, managers of landscapes used for commodity production require information about effects of management regimes on biological diversity. Landscape attributes, however, may moderate ecological responses to local-scale conservation and management actions. As a result, uniform application of local management prescriptions may...

Streamlining the supply chain.

PubMed

Neumann, Lydon

2003-07-01

Effective management of the supply chain requires attention to: Product management--formulary development and maintenance, compliance, clinical involvement, standardization, and demand-matching. Sourcing and contracting--vendor consolidation, GPO portfolio management, price leveling, content management, and direct contracting Purchasing and payment-cycle--automatic placement, web enablement, centralization, evaluated receipts settlement, and invoice matching Inventory and distribution management--"unofficial" and "official" locations, vendor-managed inventory, automatic replenishment, and freight management.

A Systems Approach to Management Effectiveness Training.

ERIC Educational Resources Information Center

Fiander, Richard L.

Overwhelmed by conflicting demands from within its own administration, from its local school board, and from the state department of education, the school district of Summit, New Jersey, took action to develop a consensus among those making demands. Administrators and school board members attended a working dinner where each individual identified…

Hydrological Drought in the Anthropocene: Impacts of Local Water Extraction and Reservoir Regulation in the U.S.: Hydrological Drought in the Anthropocene

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

Wan, Wenhua; Zhao, Jianshi; Li, Hong-Yi

Hydrological drought is a substantial negative deviation from normal hydrologic conditions and is influenced by climate and human activities such as water management. By perturbing the streamflow regime, climate change and water management may significantly alter drought characteristics in the future. Here we utilize a high-resolution integrated modeling framework that represents water management in terms of both local surface water extraction and reservoir regulation, and use the Standardized Streamflow Index (SSI) to quantify hydrological drought. We explore the impacts of water management on hydrological drought over the contiguous US in a warming climate with and without emissions mitigation. Despite themore » uncertainty of climate change impacts, local surface water extraction consistently intensifies drought that dominates at the regional to national scale. However, reservoir regulation alleviates drought by enhancing summer flow downstream of reservoirs. The relative dominance of drought intensification or relief is largely determined by the water demand, with drought intensification dominating in regions with intense water demand such as the Great Plains and California, while drought relief dominates in regions with low water demand. At the national level, water management increases the spatial extent of extreme drought despite some alleviations of moderate to severe drought. In an emissions mitigation scenario with increased irrigation demand for bioenergy production, water management intensifies drought more than the business-as-usual scenario at the national level, so the impacts of emissions mitigation must be evaluated by considering its benefit in reducing warming and evapotranspiration against its effects on increasing water demand and intensifying drought.« less

Hydrological Drought in the Anthropocene: Impacts of Local Water Extraction and Reservoir Regulation in the U.S.

NASA Astrophysics Data System (ADS)

Wan, Wenhua; Zhao, Jianshi; Li, Hong-Yi; Mishra, Ashok; Ruby Leung, L.; Hejazi, Mohamad; Wang, Wei; Lu, Hui; Deng, Zhiqun; Demissisie, Yonas; Wang, Hao

2017-11-01

Hydrological drought is a substantial negative deviation from normal hydrologic conditions and is influenced by climate and human activities such as water management. By perturbing the streamflow regime, climate change and water management may significantly alter drought characteristics in the future. Here we utilize a high-resolution integrated modeling framework that represents water management in terms of both local surface water extraction and reservoir regulation and use the Standardized Streamflow Index to quantify hydrological drought. We explore the impacts of water management on hydrological drought over the contiguous U.S. in a warming climate with and without emissions mitigation. Despite the uncertainty of climate change impacts, local surface water extraction consistently intensifies drought that dominates at the regional to national scale. However, reservoir regulation alleviates drought by enhancing summer flow downstream of reservoirs. The relative dominance of drought intensification or relief is largely determined by the water demand, with drought intensification dominating in regions with intense water demand such as the Great Plains and California, while drought relief dominates in regions with low water demand. At the national level, water management increases the spatial extent of extreme drought despite some alleviations of moderate to severe drought. In an emissions mitigation scenario with increased irrigation demand for bioenergy production, water management intensifies drought more than the business-as-usual scenario at the national level, so the impacts of emissions mitigation must be evaluated by considering its benefit in reducing warming and evapotranspiration against its effects on increasing water demand and intensifying drought.

The transport forecast - an important stage of transport management

NASA Astrophysics Data System (ADS)

Dragu, Vasile; Dinu, Oana; Oprea, Cristina; Alina Roman, Eugenia

2017-10-01

The transport system is a powerful system with varying loads in operation coming from changes in freight and passenger traffic in different time periods. The variations are due to the specific conditions of organization and development of socio-economic activities. The causes of varying loads can be included in three groups: economic, technical and organizational. The assessing of transport demand variability leads to proper forecast and development of the transport system, knowing that the market price is determined on equilibrium between supply and demand. The reduction of transport demand variability through different technical solutions, organizational, administrative, legislative leads to an increase in the efficiency and effectiveness of transport. The paper presents a new way of assessing the future needs of transport through dynamic series. Both researchers and practitioners in transport planning can benefit from the research results. This paper aims to analyze in an original approach how a good transport forecast can lead to a better management in transport, with significant effects on transport demand full meeting in quality terms. The case study shows how dynamic series of statistics can be used to identify the size of future demand addressed to the transport system.

Interrole conflict and self-efficacy to manage work and family demands mediate the relationships of job and family demands with stress in the job and family domains.

PubMed

Smoktunowicz, Ewelina; Cieslak, Roman; Demerouti, Evangelia

2017-09-01

This study derives from Work-Home Resources model (ten Brummelhuis, L. L., & Bakker, A. B. (2012). A resource perspective on the work-home interface: The work-home resources model. American Psychologist, 67(7), 545-556. doi: 10.1037/a0027974 ) and Social Cognitive Theory (Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ, US: Prentice-Hall, Inc.) to investigate mechanisms responsible for the effect of job and family demands on work- and family-related perceived stress. We hypothesized that interrole conflict and self-efficacy to manage work and family demands operate either independently or sequentially transmitting the effects of demands on perceived stress. A sample of 100 employees of various occupations participated in the study conducted online in two waves: Time 1 (T1) and Time 2 (T2) with a three-month interval. Regression analysis with bootstrapping was applied. Interrole conflict (T1) did not mediate the relationships between demands (T1) and perceived stress (T2), whereas self-efficacy (T1) mediated only those between family demands (T1) and stress (T2). However, data supported the sequential mediation hypotheses: Demands (T1) were associated with increased interrole conflict (T1) which in turn decreased self-efficacy (T1) and ultimately resulted in the elevated perceived stress at work and in the family (T2). Demands originating in one domain can impact stress both in the same and other life areas through the sequence of interrole conflict and context-specific self-efficacy.

Designing an Academic Project Management Program: A Collaboration between a University and a PMI Chapter

ERIC Educational Resources Information Center

Poston, Robin S.; Richardson, Sandra M.

2011-01-01

The demand for project management skills in industry is increasing resulting in a higher demand for project management educational programs. Universities are addressing industry demand by developing project management courses, degree offerings and certificate programs that focus on both technical and general project management skills. While…

How task characteristics and social support relate to managerial learning: empirical evidence from Dutch home care.

PubMed

Ouweneel, A P Else; Taris, Toon W; Van Zolingen, Simone J; Schreurs, Paul J G

2009-01-01

Researchers have revealed that managers profit most from informal and on-the-job learning. Moreover, research has shown that task characteristics and social support affect informal learning. On the basis of these insights, the authors examined the effects of task characteristics (psychological job demands, job control) and social support from the supervisor and colleagues on informal on-the-job learning among 1588 managers in the Dutch home-care sector. A regression analysis revealed that high demands, high control, and high colleague and supervisor support were each associated with high levels of informal learning. The authors found no evidence for statistical interactions among the effects of these concepts. They concluded that to promote managers' informal workplace learning, employers should especially increase job control.

Influence of job demands and job control on work-life balance among Taiwanese nurses.

PubMed

Ng, Lee-Peng; Chen, I-Chi; Ng, Hui-Fuang; Lin, Bo-Yen; Kuar, Lok-Sin

2017-09-01

This study investigated the extent to which the job demands and job control of nurses were related to their work-life balance. The inability to achieve work-life balance is one of the major reasons for the declining retention rate among nurses. Job demands and job control are two major work domain factors that can have a significant influence on the work-life balance of nurses. The study measured the job demands, job control and work-life balance of 2040 nurses in eight private hospitals in Taiwan in 2013. Job demands and job control significantly predicted all the dimensions of work-life balance. Job demands increased the level of work-life imbalance among nurses. While job control showed positive effects on work/personal life enhancement, it was found to increase both work interference with personal life and personal life interference with work. Reducing the level of job demands (particularly for psychological demands) between family and career development and maintaining a proper level of job control are essential to the work-life balance of nurses. Flexible work practices and team-based management could be considered by nursing management to lessen job demand pressure and to facilitate job engagement and participation among nurses, thus promoting a better balance between work and personal life. © 2017 John Wiley & Sons Ltd.

Telecommunications and disease management in the home environment: new strategies to improve outcomes.

PubMed

Meyer, L C

1997-06-01

This article provides an overview of the issues and effects of principle-centered health care within organized systems of care; portrays a comprehensive disease management framework for home health care; and offers virtual health management, telecommunications, and mobile computing strategies to enable health management enterprises to achieve health and outcomes maximization accountability demands in managed care.

Demand management: enabling patients to use medical care appropriately.

PubMed

Vickery, D M; Lynch, W D

1995-05-01

A rationale is presented for considering demand management as well as supply management (managed care) in the current debate on health care reform. Demand management is the support of individuals so that they may make rational health and medical decisions based on a consideration of benefits and risks. The concept of demand for medical services is examined within a theoretical framework of four components: morbidity, perceived need, patient preference, and nonhealth motives. Two components, perceived need and patient preference, are suggested to offer considerable potential for making utilization more appropriate and reducing costs. Current demand services and potential hazards related to their continued expansion are discussed.

Managing Research Is Both an Art and a Science

ERIC Educational Resources Information Center

Khoon, Koh Aik; Radiman, Shahidan; Daud, Abdul Razak; Shukor, R. Abd; Talib, Ibrahim Abu; Puaad, Ahmad; Samat, Supian

2011-01-01

This paper presents a model for effective research management. Since research demands time, manpower and money it is imperative that we do it right to achieve success and at the same time avoid encumbrances and pitfalls. Managing research is both an art and a science. (Contains 1 table.)

Major Elements and Issues in Performance Management System: A Literature Review

ERIC Educational Resources Information Center

Bae, Eul-Kyoo

2006-01-01

Due to rapidly changing business environment, HRD practitioners are unprecedentedly demanded to actively participate in improving organizational effectiveness as performance management specialist. The purpose of this study was to examine and discuss major elements and issues in performance management system through an extensive literature review…

Learning Objectives and Content of Science Curricula for Undergraduate Management Education

ERIC Educational Resources Information Center

Ledley, Fred D.; Holt, Stephen S.

2014-01-01

Business is progressively integrating technologies and R&D with corporate and business strategy. This trend is creating increasing demand for executives and managers who have sufficient technology-centered knowledge to work effectively in interdisciplinary environments. This study addresses how management education could address the growing…

The perceived compatibility of safety and production expectations in hazardous occupations.

PubMed

McLain, David L; Jarrell, Kimberly A

2007-01-01

Safety hazards are unavoidable in many work environments. Employees must be both productive and safe, however, conflicting safety and production demands can negatively affect safety, production, or both. The employee's perception of the compatibility of management's safety and production expectations is a possible predictor of such consequences. This paper defines "safety-production compatibility" and describes how measures of safety-production compatibility, as well as safety pressure and production pressure, were developed. We used LISREL structural equation modeling to test the influences of safety-production compatibility, safety pressure, and production pressure on safe work behavior and interference with performing other work tasks. The 239 study participants were workers employed in diverse but hazardous occupations. Pressure to work safely was positively associated with safe work behavior. The perceived compatibility of safety and production demands positively influenced safe work behavior and reduced the interference of safety hazards performing other tasks. Safety-production compatibility was also found to mediate the relationship between trust in management and safe work behavior. The results of this field study suggest increased compatibility, and thus less conflict, between safety and production demands influences safe work behavior and the interference of safety hazards with performing other work tasks. More broadly, the worker's reaction to multiple work demands is a safety and performance influence. Safety management efforts that focus only on the hazards fail to eliminate many accidents because accidents arise from many factors including technology, safety climate, social influences, production, and safety demands. This study suggests that workers differ in their perception of the compatibility of safety and production demands. These differences will show up in safe work behavior, influencing the effectiveness of safety management efforts and the trust workers have in management's concern for safety.

Object-oriented data model of the municipal transportation

NASA Astrophysics Data System (ADS)

Pan, Yuqing; Sheng, Yehua; Zhang, Guiying

2008-10-01

The transportation problem is always one of main questions each big city all over the world faces. Managing the municipal transportation using GIS is becoming the important trend. And the data model is the transportation information system foundation. The organization and storage of the data must consider well in the system design. The data model not only needs to meet the demand that the transportation navigates, but also needs to achieve the good visual effects, also can carry on the management and the maintenance to the traffic information. According to the object-oriented theory and the method, the road is divided into segment, intersection. This paper analyzed the driveway, marking, sign and other transportation facilities and the relationship with the segment, intersection and constructed the municipal transportation data model which is adequate to the demand of vehicles navigation, visual and management. The paper also schemes the the all kinds of transportation data. The practice proves that this data model can satisfy the application demands of traffic management system.

Pre-Service Teacher Training in Classroom Management: A Review of State Accreditation Policy and Teacher Preparation Programs

ERIC Educational Resources Information Center

Freeman, Jennifer; Simonsen, Brandi; Briere, Donald E.; MacSuga-Gage, Ashley S.

2014-01-01

Effective classroom management skills are essential for teachers. Unfortunately, many teachers do not receive adequate classroom management training prior to beginning their teaching careers and feel unprepared for the demands of managing student behaviors in their classrooms. In this article, we describe (a) the number of states with state policy…

Portable Timber Bridges as a Best Management Practice in Forest Management

Treesearch

Edward Cesa; Jeffery Bejune; Melissa Strothers

2004-01-01

Those responsible for the management of our forests and other natural resources are finding it more challenging to manage these resources. These challenges are the result of environmental concerns combined with the need to develop cost-effective operational techniques. At the same time, society's demand for wood fiber and other natural resources continues to grow...

The Effects of Job Demands and Low Job Control on Work-Family Conflict: The Role of Fairness in Decision Making and Management

ERIC Educational Resources Information Center

Heponiemi, Tarja; Elovainio, Marko; Pekkarinen, Laura; Sinervo, Timo; Kouvonen, Anne

2008-01-01

The present study examined whether perceptions of organizational fairness (the procedural and interactional components) were able to diminish the negative effects of high job demands and low job control on the balance between work and family. The study participants were 713 women working in long-term care for elderly people in Finland. The results…

The influence of environmental conditions on safety management in hospitals: a qualitative study.

PubMed

Alingh, Carien W; van Wijngaarden, Jeroen D H; Huijsman, Robbert; Paauwe, Jaap

2018-05-02

Hospitals are confronted with increasing safety demands from a diverse set of stakeholders, including governmental organisations, professional associations, health insurance companies, patient associations and the media. However, little is known about the effects of these institutional and competitive pressures on hospital safety management. Previous research has shown that organisations generally shape their safety management approach along the lines of control- or commitment-based management. Using a heuristic framework, based on the contextually-based human resource theory, we analysed how environmental pressures affect the safety management approach used by hospitals. A qualitative study was conducted into hospital care in the Netherlands. Five hospitals were selected for participation, based on organisational characteristics as well as variation in their reputation for patient safety. We interviewed hospital managers and staff with a central role in safety management. A total of 43 semi-structured interviews were conducted with 48 respondents. The heuristic framework was used as an initial model for analysing the data, though new codes emerged from the data as well. In order to ensure safe care delivery, institutional and competitive stakeholders often impose detailed safety requirements, strong forces for compliance and growing demands for accountability. As a consequence, hospitals experience a decrease in the room to manoeuvre. Hence, organisations increasingly choose a control-based management approach to make sure that safety demands are met. In contrast, in case of more abstract safety demands and an organisational culture which favours patient safety, hospitals generally experience more leeway. This often results in a stronger focus on commitment-based management. Institutional and competitive conditions as well as strategic choices that hospitals make have resulted in various combinations of control- and commitment-based safety management. A balanced approach is required. A strong focus on control-based management generates extrinsic motivation in employees but may, at the same time, undermine or even diminish intrinsic motivation to work on patient safety. Emphasising commitment-based management may, in contrast, strengthen intrinsic motivation but increases the risk of priorities being set elsewhere. Currently, external pressures frequently lead to the adoption of control-based management. A balanced approach requires a shift towards more trust-based safety demands.

The Winds of Change: Higher Education Management Programmes in Europe

ERIC Educational Resources Information Center

Pausits, Attila; Pellert, Ada

2009-01-01

Amid the Bologna Process and as a direct effect of it, European higher education institutions have to rethink their core institutional policies in order to effectively deal with the increasing demands and needs of their "customers" and society at large. The higher education management programmes across Europe, with some specific needs…

The fundamental managerial challenges in the role of a contemporary district nurse: A discussion.

PubMed

McComiskey, Florence

2017-10-02

This article examines some of the fundamental challenges facing the district nurse in delivery of the managerial aspects of her role in contemporary practice. It discusses the personal attributes that are essential for this role to ensure safe, effective and compassionate leadership and management. The communication skills and ethos underpinning collaborative multidiscilplinary team work and person-centred care are discussed. Issues that compromise positive and productive team working are identified, and strategies dealing with conflict and also change management are debated. These factors are interrelated with the everyday demands of caseload management, the development of educational needs to meet the demands of increased complexity in care needs, and the place of technology in modern health care. It is evidenced that sustained organisational support for this role is more important than ever, due to increasing demand and decreasing capacity. Potential solutions to these challenges are offered to assist the contemporary district nurse.

A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand

PubMed Central

Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim

2015-01-01

Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times. PMID:25807384

A framework for understanding and generating integrated solutions for residential peak energy demand.

PubMed

Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim

2015-01-01

Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times.

Getting the goods without the bads : freight transportation demand management strategies to reduce urban impacts.

DOT National Transportation Integrated Search

2013-09-01

This project identifies and evaluatesstrategies to reduce the social costs associated with goods movement in urban areas by managing : transportation demand. Information about various freight transportation demand management (TDM) strategies was gath...

Management of methicillin-resistant Staphylococcus aureus bacteremia.

PubMed

Cosgrove, Sara E; Fowler, Vance G

2008-06-01

Staphylococcus aureus bacteremia and endocarditis are serious infections that demand prompt clinical attention to ensure good outcomes. Of foremost importance is identifying and managing the source of infection and any associated complications. Evaluation for the presence of cardiac involvement is essential because inadequately managed S. aureus endocarditis is life threatening. Thus, physicians must aggressively negotiate treatment paths, considering whether the S. aureus bacteremia is complicated, whether foreign sources of infection should be removed or replaced, and whether surgical intervention is necessary. Selection of an antibiotic treatment is also an essential factor for optimal management. The increasing prevalence of methicillin-resistant S. aureus (MRSA) infections has created a tremendous demand for effective and safe antimicrobial agents other than the historic anti-MRSA agent vancomycin.

Numerical simulation of groundwater artificial recharge in a semiarid-climate basin of northwest Mexico, case study the Guadalupe Valley Aquifer, Baja California

NASA Astrophysics Data System (ADS)

Campos-Gaytan, J. R.; Herrera-Oliva, C. S.

2013-05-01

In this study was analyzed through a regional groundwater flow model the effects on groundwater levels caused by the application of different future groundwater management scenarios (2007-2025) at the Guadalupe Valley, in Baja California, Mexico. Among these studied alternatives are those scenarios designed in order to evaluate the possible effects generated for the groundwater artificial recharge in order to satisfy a future water demand with an extraction volume considered as sustainable. The State of Baja California has been subject to an increment of the agricultural, urban and industrials activities, implicating a growing water-demand. However, the State is characterized by its semiarid-climate with low surface water availability; therefore, has resulted in an extensive use of groundwater in local aquifer. Water level measurements indicate there has been a decline in water levels in the Guadalupe Valley for the past 30 years. The Guadalupe Valley aquifer represents one the major sources of water supply in Ensenada region. It supplies about 25% of the water distributed by the public water supplier at the city of Ensenada and in addition constitutes the main water resource for the local wine industries. Artificially recharging the groundwater system is one water resource option available to the study zone, in response to increasing water demand. The existing water supply system for the Guadalupe Valley and the city of Ensenada is limited since water use demand periods in 5 to 10 years or less will require the construction of additional facilities. To prepare for this short-term demand, one option available to water managers is to bring up to approximately 3.0 Mm3/year of treated water of the city of Ensenada into the valley during the low-demand winter months, artificially recharge the groundwater system, and withdraw the water to meet the summer demands. A 2- Dimensional groundwater flow was used to evaluate the effects of the groundwater artificial recharge. Artificial recharge is feasible and is one water resource technique available to meet an increasing water demand; therefore, the final objective was to estimate the response of the groundwater system to the possible development of a system for artificial recharge of the aquifer. Based on the analysis of the groundwater management alternatives it was determined a groundwater withdrawal which ensures a sustainable management of the aquifer, in order to maintain a sustainable extraction volume and to reduce the water table depletion.

Water demand and supply co-adaptation to mitigate climate change impacts in agricultural water management

NASA Astrophysics Data System (ADS)

Giuliani, Matteo; Mainardi, Matteo; Castelletti, Andrea; Gandolfi, Claudio

2013-04-01

Agriculture is the main land use in the world and represents also the sector characterised by the highest water demand. To meet projected growth in human population and per-capita food demand, agricultural production will have to significantly increase in the next decades. Moreover, water availability is nowadays a limiting factor for agricultural production, and is expected to decrease over the next century due to climate change impacts. To effectively face a changing climate, agricultural systems have therefore to adapt their strategies (e.g., changing crops, shifting sowing and harvesting dates, adopting high efficiency irrigation techniques). Yet, farmer adaptation is only one part of the equation because changes in water supply management strategies, as a response to climate change, might impact on farmers' decisions as well. Despite the strong connections between water demand and supply, being the former dependent on agricultural practices, which are affected by the water available that depends on the water supply strategies designed according to a forecasted demand, an analysis of their reciprocal feedbacks is still missing. Most of the recent studies has indeed considered the two problems separately, either analysing the impact of climate change on farmers' decisions for a given water supply scenario or optimising water supply for different water demand scenarios. In this work, we explicitly connect the two systems (demand and supply) by activating an information loop between farmers and water managers, to integrate the two problems and study the co-evolution and co-adaptation of water demand and water supply systems under climate change. The proposed approach is tested on a real-world case study, namely the Lake Como serving the Muzza-Bassa Lodigiana irrigation district (Italy). In particular, given an expectation of water availability, the farmers are able to solve a yearly planning problem to decide the most profitable crop to plant. Knowing the farmers decisions, the operation of the upstream reservoir (Como Lake) is optimised with respect to the real irrigation demand of the crops. Then, the farmers can re-adapt their decisions according with the new optimal operating strategy, thus activating a loop between the two systems that exchange expected supply and irrigation demand. Results show that the proposed interaction between farmers and water managers is able to enhance the efficiency of water management practices, foster crop production and mitigate climate change impacts.

Applying Knowledge Management to an Organization's Transformation

NASA Technical Reports Server (NTRS)

Potter, Shannon; Gill, Tracy; Fritsche, Ralph

2008-01-01

Although workers in the information age have more information at their fingertips than ever before, the ability to effectively capture and reuse actual knowledge is still a surmounting challenge for many organizations. As high tech organizations transform from providing complex products and services in an established domain to providing them in new domains, knowledge remains an increasingly valuable commodity. This paper explores the supply and demand elements of the "knowledge market" within the International Space Station and Spacecraft Processing Directorate (ISSSPD) of NASA's Kennedy Space Center (KSC). It examines how knowledge supply and knowledge demand determine the success of an organization's knowledge management (KM) activities, and how the elements of a KM infrastructure (tools, culture, and training), can be used to create and sustain knowledge supply and demand

Stuck in the middle: The emotional labours of case managers in the personal injury compensation system.

PubMed

Newnam, Sharon; Petersen, Alan; Keleher, Helen; Collie, Alex; Vogel, Adam; McClure, Rod

2016-10-17

Case managers within injury compensation systems are confronted with various emotional demands. Employing the concept of emotional labour, this paper explores distinctive aspects of these demands. The findings are drawn from focus groups with 21 Australian case managers. Case managers work was characterised by extra-role commitments, emotional control, stress and balancing tensions arising from differing stakeholder expectations about outcomes related to compensation and return to work. By examining the experiences of case managers, the findings add to the literature on the emotional labour of front line service workers, especially with respect to the demands involved in managing the conflicting demands of work.

Sustainable water management in the southwestern United States: reality or rhetoric?

PubMed

Marshall, Robert M; Robles, Marcos D; Majka, Daniel R; Haney, Jeanmarie A

2010-07-21

While freshwater sustainability is generally defined as the provisioning of water for both people and the environment, in practice it is largely focused only on supplying water to furnish human population growth. Symptomatic of this is the state of Arizona, where rapid growth outside of the metropolitan Phoenix-Tucson corridor relies on the same groundwater that supplies year-round flow in rivers. Using Arizona as a case study, we present the first study in the southwestern United States that evaluates the potential impact of future population growth and water demand on streamflow depletion across multiple watersheds. We modeled population growth and water demand through 2050 and used four scenarios to explore the potential effects of alternative growth and water management strategies on river flows. Under the base population projection, we found that rivers in seven of the 18 study watersheds could be dewatered due to municipal demand. Implementing alternative growth and water management strategies, however, could prevent four of these rivers from being dewatered. The window of opportunity to implement water management strategies is narrowing. Because impacts from groundwater extraction are cumulative and cannot be immediately reversed, proactive water management strategies should be implemented where groundwater will be used to support new municipal demand. Our approach provides a low-cost method to identify where alternative water and growth management strategies may have the most impact, and demonstrates that such strategies can maintain a continued water supply for both people and the environment.

Effect of Bioenergy Demands and Supply Response on Markets, Carbon, and Land Use

Treesearch

Karen L. Abt; Robert C. Abt; Christopher Galik

2012-01-01

An increase in the demand for wood for energy, including liquid fuels, bioelectricity, and pellets, has the potential to affect traditional wood users, forestland uses, management intensities, and, ultimately, carbon sequestration. Recent studies have shown that increases in bioenergy harvests could lead to displacement of traditional wood-using industries in the short...

Primary healthcare in transition--a qualitative study of how managers perceived a system change.

PubMed

Maun, Andy; Nilsson, Kerstin; Furåker, Carina; Thorn, Jörgen

2013-10-03

Primary healthcare in Sweden has undergone widespread reforms in recent years, including freedom of choice regarding provider, freedom of establishment and increased privatisation. The key aims of the reforms were to strengthen the role of the patient and improve performance in terms of access and responsiveness. The aim of this study was to explore how managers at publicly owned primary healthcare centres perceived the transition of the primary healthcare system and the impact it has had on their work. In this qualitative study, 24 managers of publicly owned primary healthcare centres in the metropolitan region of Gothenburg were recruited. Semi-structured interviews were conducted and data were analysed using content analysis inspired by Silverman. The analysis revealed two core themes: The transition is perceived as a rapid change, enforced mainly through financial incentives and Prioritisation conflicts arise between patient groups with different needs, demands and levels of empowerment. The transition has produced powerful and rapid effects that were considered to be both positive and negative. While the new financial incentives were seen as a driving force and a tool for change, they also became a stress factor due to uncertainty, competition with other primary healthcare centres and negative feelings associated with staff cutbacks. The shift in power towards the patient improved access and service but also led to more patients with unreasonable demands. Managers found it difficult to prioritise correctly between patient groups with different needs, demands and levels of empowerment and they were concerned about potentially negative effects on less empowered patients, e.g. multi-morbid patients. Managers also experienced shortcomings in their change management skills. This qualitative study shows the complexity of the system change and describes the different effects and perceptions of the transition from a manager's perspective. This suggests a need for improved follow-up and control in order to monitor and govern system changes and ensure development towards a more effective and sustainable primary healthcare system.

Assessment of utility side financial benefits of demand side management considering environmental impacts

NASA Astrophysics Data System (ADS)

Abeygunawardane, Saranga Kumudu

2018-02-01

Any electrical utility prefers to implement demand side management and change the shape of the demand curve in a beneficial manner. This paper aims to assess the financial gains (or losses) to the generating sector through the implementation of demand side management programs. An optimization algorithm is developed to find the optimal generation mix that minimizes the daily total generating cost. This daily total generating cost includes the daily generating cost as well as the environmental damage cost. The proposed optimization algorithm is used to find the daily total generating cost for the base case and for several demand side management programs using the data obtained from the Sri Lankan power system. Results obtained for DSM programs are compared with the results obtained for the base case to assess the financial benefits of demand side management to the generating sector.

Controlling disasters: Local emergency management perceptions about Federal Emergency Management and Homeland Security actions after September 11, 2001.

PubMed

Hildebrand, Sean

This article examines local emergency manager's beliefs regarding control over tasks during various stages of the hazard cycle since federal policies went into effect following the September 11 attacks. The study considers whether a disparity exists between the actions of local officials during each phase of the "hazard cycle" and the policy expectations of the federal government, which call for greater federal control over activities in emergency management and homeland security. To do so, hypothesis testing investigates the jurisdiction's use of comprehensive emergency management (CEM) practices, the perceived "clarity" of the federal policy demands, and if the local actors feel coerced to comply with federal policy demands so that grant funding is not compromised. Using a model developed from "third-generation" policy implementation research, the results show that the odds of local officials citing federal control over these actions have very limited statistical significance. This signals that the perceived lack of local input into the development of these federal policies and the policies' limited use of traditional CEM measures may not be in concert with what local actors perform in the field. Simply put, the respondents claim to understand the federal policy demands, support the concept of federal control as the policies describe, yet follow their own plans or traditional CEM principles, even if such actions do not support the federal policy demands. These results align with pre-existing research in the emergency management field that show issues with efforts to centralize policies under the Department of Homeland Security and Federal Emergency Management Agency.

Abbreviated bibliography on energy development—A focus on the Rocky Mountain Region

USGS Publications Warehouse

Montag, Jessica M.; Willis, Carolyn J.; Glavin, Levi W.

2011-01-01

Energy development of all types continues to grow in the Rocky Mountain Region of the western United States. Federal resource managers increasingly need to balance energy demands, effects on the natural landscape and public perceptions towards these issues. To assist in efficient access to valuable information, this abbreviated bibliography provides citations to relevant information for myriad of issues for which resource managers must contend. The bibliography is organized by seven large topics with various sup-topics: broad energy topics (energy crisis, conservation, supply and demand, etc.); energy sources (fossil fuel, nuclear, renewable, etc.); natural landscape effects (climate change, ecosystem, mitigation, restoration, and reclamation, wildlife, water, etc.); human landscape effects (attitudes and perceptions, economics, community effects, health, Native Americans, etc.); research and technology; international research; and, methods and modeling. A large emphasis is placed on the natural and human landscape effects.

The influence of frontline manager job strain on burnout, commitment and turnover intention: a cross-sectional study.

PubMed

Wong, Carol A; Spence Laschinger, Heather K

2015-12-01

The frontline clinical manager role in healthcare is pivotal to the development of safe and healthy working conditions and optimal staff and patient care outcomes. However, in today's dynamic healthcare organizations managers face constant job demands from wider spans of control and complex role responsibilities but may not have adequate decisional authority to support effective work performance resulting in unnecessary job strain. Prolonged job strain can lead to burnout, health complaints, and increased turnover intention. Yet, there is limited research that examines frontline manager job strain and its impact on their well-being and work outcomes. The substantial cost associated with replacing experienced managers calls attention to the need to address job strain in order to retain this valuable organizational asset. Using Karasek's Job Demands-Control theory of job strain, a model was tested examining the effects of frontline manager job strain on their burnout (emotional exhaustion and cynicism), organizational commitment and ultimately, turnover intentions. Secondary analysis of data collected in an online cross-sectional survey of frontline managers was conducted using structural equation modeling. All 500 eligible frontline managers from 14 teaching hospitals in Ontario, Canada, were invited to participate and 159 responded for a 32% response rate. Participants received an email invitation with a secure link for the online survey. Ethics approval was obtained from the university ethics board and the respective ethics review boards of the 14 organizations involved in the study. The model was tested using path analysis techniques within structural equation modeling with maximum likelihood estimation. The final model fit the data acceptably (χ(2)=6.62, df=4, p=.16, IFI=99, CFI=.99, SRMR=.03, RMSEA=.06). Manager job strain was significantly positively associated with burnout which contributed to both lower organizational commitment and higher turnover intention. Organizational commitment was also negatively associated with turnover intention and there was an additional direct positive relationship between job strain and turnover intention. Preliminary support was found for a model showing that manager job strain contributes to burnout, reduced organizational commitment and higher turnover intentions. Findings suggest that organizations need to monitor and address manager job strain by ensuring managers' role demands are reasonable and that they have the requisite decision latitude to balance role demands. Copyright © 2015 Elsevier Ltd. All rights reserved.

44 CFR 6.8 - Subpoena and other legal demands.

Code of Federal Regulations, 2010 CFR

2010-10-01

... other legal demands. Access to records in systems of records by subpoena or other legal process shall be... 44 Emergency Management and Assistance 1 2010-10-01 2010-10-01 false Subpoena and other legal demands. 6.8 Section 6.8 Emergency Management and Assistance FEDERAL EMERGENCY MANAGEMENT AGENCY...

Integrated management of timber and deer: interior forests of western North America.

Treesearch

H.M. Armleder; D.A. Leckenby; D.J. Freddy; L.L. Hicks

1989-01-01

Timber and deer managers have struggled through years of increasing demands and growing conflicts in the interior of Western North America. Integrated management, supported by a sound research data base and effectively communicated to all users, is presented as the only viable approach to an increasingly complex resource future. Two examples of tools recently designed...

Decreasing Students' Stress through Time Management Training: An Intervention Study

ERIC Educational Resources Information Center

Häfner, Alexander; Stock, Armin; Oberst, Verena

2015-01-01

The aim of this study was to examine the effects of a time management training program on perceived control of time and perceived stress in the context of higher education. Twenty-three undergraduate students attended a time management training intervention and reported demands, perceived stress and perceived control of time directly before 2 and…

Flexible Demand Management under Time-Varying Prices

NASA Astrophysics Data System (ADS)

Liang, Yong

In this dissertation, the problem of flexible demand management under time-varying prices is studied. This generic problem has many applications, which usually have multiple periods in which decisions on satisfying demand need to be made, and prices in these periods are time-varying. Examples of such applications include multi-period procurement problem, operating room scheduling, and user-end demand scheduling in the Smart Grid, where the last application is used as the main motivating story throughout the dissertation. The current grid is experiencing an upgrade with lots of new designs. What is of particular interest is the idea of passing time-varying prices that reflect electricity market conditions to end users as incentives for load shifting. One key component, consequently, is the demand management system at the user-end. The objective of the system is to find the optimal trade-off between cost saving and discomfort increment resulted from load shifting. In this dissertation, we approach this problem from the following aspects: (1) construct a generic model, solve for Pareto optimal solutions, and analyze the robust solution that optimizes the worst-case payoffs, (2) extend to a distribution-free model for multiple types of demand (appliances), for which an approximate dynamic programming (ADP) approach is developed, and (3) design other efficient algorithms for practical purposes of the flexible demand management system. We first construct a novel multi-objective flexible demand management model, in which there are a finite number of periods with time-varying prices, and demand arrives in each period. In each period, the decision maker chooses to either satisfy or defer outstanding demand to minimize costs and discomfort over a certain number of periods. We consider both the deterministic model, models with stochastic demand or prices, and when only partial information about the stochastic demand or prices is known. We first analyze the stochastic optimization problem when the objective is to minimize the expected total cost and discomfort, then since the decision maker is likely to be risk-averse, and she wants to protect herself from price spikes, we study the robust optimization problem to address the risk-aversion of the decision maker. We conduct numerical studies to evaluate the price of robustness. Next, we present a detailed model that manages multiple types of flexible demand in the absence of knowledge regarding the distributions of related stochastic processes. Specifically, we consider the case in which time-varying prices with general structures are offered to users, and an energy management system for each household makes optimal energy usage, storage, and trading decisions according to the preferences of users. Because of the uncertainties associated with electricity prices, local generation, and the arrival processes of demand, we formulate a stochastic dynamic programming model, and outline a novel and tractable ADP approach to overcome the curses of dimensionality. Then, we perform numerical studies, whose results demonstrate the effectiveness of the ADP approach. At last, we propose another approximation approach based on Q-learning. In addition, we also develop another decentralization-based heuristic. Both the Q-learning approach and the heuristic make necessary assumptions on the knowledge of information, and each of them has unique advantages. We conduct numerical studies on a testing problem. The simulation results show that both the Q-learning and the decentralization based heuristic approaches work well. Lastly, we conclude the paper with some discussions on future extension directions.

A Location Based Communication Proposal for Disaster Crisis Management

NASA Astrophysics Data System (ADS)

Gülnerman, A. G.; Goksel, C.; Tezer, A.

2014-12-01

The most vital applications within urban applications under the title of Geographical Information system applications are Disaster applications. Especially, In Turkey the most occured disaster type Earthquakes impacts are hard to retain in urban due to greatness of area, data and effected resident or victim. Currently, communications between victims and institutions congested and collapsed, after disaster that results emergency service delay and so secondary death and desperation. To avoid these types of life loss, the communication should be established between public and institutions. Geographical Information System Technology is seen capable of data management techniques and communication tool. In this study, Life Saving Kiosk Modal Proposal designed as a communication tool based on GIS, after disaster, takes locational emegency demands, meets emergency demands over notification maps which is created by those demands,increase public solidarity by visualizing close emergency demanded area surrounded another one and gathers emergency service demanded institutions notifications and aims to increasethe capability of management. This design prosals' leading role is public. Increase in capability depends on public major contribution to disaster management by required communication infrastructure establishment. The aim is to propound public power instead of public despiration. Apart from general view of disaster crisis management approaches, Life Saving Kiosk Modal Proposal indicates preparedness and response phases within the disaster cycle and solve crisis management with the organization of design in preparedness phase, use in response phase. This resolution modal flow diagram is builded between public, communication tool (kiosk) amd response force. The software is included in communication tools whose functions, interface designs and user algorithms are provided considering the public participation. In this study, disaster crisis management with public participation and power use with data flow modal based on location is came up for discussion by comparing with the other available applications in manner of time, detail of data, required staff and expertise degree, data reality and data archive.

Effects of spatially distributed sectoral water management on the redistribution of water resources in an integrated water model

NASA Astrophysics Data System (ADS)

Voisin, Nathalie; Hejazi, Mohamad I.; Leung, L. Ruby; Liu, Lu; Huang, Maoyi; Li, Hong-Yi; Tesfa, Teklu

2017-05-01

Realistic representations of sectoral water withdrawals and consumptive demands and their allocation to surface and groundwater sources are important for improving modeling of the integrated water cycle. To inform future model development, we enhance the representation of water management in a regional Earth system (ES) model with a spatially distributed allocation of sectoral water demands simulated by a regional integrated assessment (IA) model to surface and groundwater systems. The integrated modeling framework (IA-ES) is evaluated by analyzing the simulated regulated flow and sectoral supply deficit in major hydrologic regions of the conterminous U.S, which differ from ES studies looking at water storage variations. Decreases in historical supply deficit are used as metrics to evaluate IA-ES model improvement in representating the complex sectoral human activities for assessing future adaptation and mitigation strategies. We also assess the spatial changes in both regulated flow and unmet demands, for irrigation and nonirrigation sectors, resulting from the individual and combined additions of groundwater and return flow modules. Results show that groundwater use has a pronounced regional and sectoral effect by reducing water supply deficit. The effects of sectoral return flow exhibit a clear east-west contrast in the hydrologic patterns, so the return flow component combined with the IA sectoral demands is a major driver for spatial redistribution of water resources and water deficits in the US. Our analysis highlights the need for spatially distributed sectoral representation of water management to capture the regional differences in interbasin redistribution of water resources and deficits.

Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand.

PubMed

Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

2015-01-01

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers' peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers' location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual 'map' of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments.

Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand

PubMed Central

Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

2015-01-01

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers’ peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers’ location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual ‘map’ of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments. PMID:26226511

The role of rewards and demands in burnout among surgical nurses.

PubMed

Basińska, Beata A; Wilczek-Rużyczka, Ewa

2013-08-01

Job rewards have both, an intrinsic and an extrinsic motivational potential, and lead to employees' development as well as help them to achieve work goals. Rewards can balance job demands and protect from burnout. Due to changes on the labour market, new studies are needed. The aim of our study was to examine the role of demands and individual rewards (and their absence) in burnout among surgical nurses. The study was conducted in 2009 and 2010 with 263 nurses who worked in surgical wards and clinics in hospitals in Southern Poland. The hypotheses were tested by the use of measures of demands and rewards (Effort-Reward Imbalance Questionnaire by Siegrist) and burnout syndrome (Maslach Burnout Inventory). A cross-sectional, correlational study design was applied. Nurses experienced the largest deficiencies in salary and prestige. Exhaustion was explained by stronger demands and lack of respect (large effect). Depersonalization was explained by stronger demands, lack of respect and greater job security (medium effect). Reduced personal achievement was explained by more demands and greater job security (small effect). Excessive demands and lack of esteem are key reasons for burnout among surgical nurses. Job security can increase burnout when too many resources are invested and career opportunities do not appear. These results may help to improve human resource management in the healthcare sector.

Entrepreneurial stressors as predictors of entrepreneurial burnout.

PubMed

Wei, Xueyan; Cang, Shuangxin; Hisrich, Robert D

2015-02-01

Research on the effects of entrepreneurial stressors is limited, especially regarding its relation to the burnout that frequently occurs in the process of starting and growing a venture. The effect of the role of entrepreneurial stressors (workload, competitive comparison, demands-of-knowledge, managing responsibility, and resource requirements) on burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) was examined in a Chinese sample of entrepreneurs. Entrepreneurial stressors emerged as a significant predictor of burnout in the process of entrepreneurship in a sample of 289 entrepreneurs (63.8% men; M age = 26.2 yr.; 39.6% of their parents have been self-employed). The findings clarify the functional relationship between entrepreneurial stressors and burnout. Entrepreneurial stressors played multiple roles. Managing responsibility was an active contributor to the sense of achievement and to emotional exhaustion. Workload was an active contributor to emotional exhaustion. Demands-of-knowledge negatively affected three of the dimensions of burnout. Theoretical and practical implications for management of the effect of these relationships are discussed.

Enhancing Nursing Staffing Forecasting With Safety Stock Over Lead Time Modeling.

PubMed

McNair, Douglas S

2015-01-01

In balancing competing priorities, it is essential that nursing staffing provide enough nurses to safely and effectively care for the patients. Mathematical models to predict optimal "safety stocks" have been routine in supply chain management for many years but have up to now not been applied in nursing workforce management. There are various aspects that exhibit similarities between the 2 disciplines, such as an evolving demand forecast according to acuity and the fact that provisioning "stock" to meet demand in a future period has nonzero variable lead time. Under assumptions about the forecasts (eg, the demand process is well fit as an autoregressive process) and about the labor supply process (≥1 shifts' lead time), we show that safety stock over lead time for such systems is effectively equivalent to the corresponding well-studied problem for systems with stationary demand bounds and base stock policies. Hence, we can apply existing models from supply chain analytics to find the optimal safety levels of nurse staffing. We use a case study with real data to demonstrate that there are significant benefits from the inclusion of the forecast process when determining the optimal safety stocks.

Integrating water quality responses to best management practices in Portugal.

PubMed

Fonseca, André; Boaventura, Rui A R; Vilar, Vítor J P

2018-01-01

Nutrient nonpoint pollution has a significant impact on water resources worldwide. The main challenge of this work was to assess the application of best management practices in agricultural land to comply with water quality legislation for surface waters. The Hydrological Simulation Program-FORTRAN was used to evaluate water quality of Ave River in Portugal. Best management practices (infiltration basin) (BMP) were applied to agricultural land (for 3, 6, 9, 12, and 15% area) with removal efficiencies of 50% for fecal coliforms and 30% for nitrogen, phosphorus, and biochemical oxygen demand. The inflow of water quality constituents was reduced for all scenarios, with fecal coliforms achieving the highest reduction between 5.8 and 28.9% and nutrients and biochemical oxygen demand between 2 and 13%. Biochemical oxygen demand and orthophosphates concentrations achieved a good water quality status according to the European Legislation for scenarios of BMP applied to 3 and 12% agricultural area, respectively. Fecal coliform levels in Ave River basin require further treatment to fall below the established value in the abovementioned legislation. This study shows that agricultural watersheds such as Ave basins demand special attention in regard to nonpoint pollution sources effects on water quality and nutrient loads.

Recapturing time: a practical approach to time management for physicians.

PubMed

Gordon, Craig E; Borkan, Steven C

2014-05-01

Increasing pressures on physicians demand effective time management and jeopardise professional satisfaction. Effective time management potentially increases productivity, promotes advancement, limits burnout and improves both professional and personal satisfaction. However, strategies for improving time management are lacking in the current medical literature. Adapting time management techniques from the medical and non-medical literature may improve physician time management habits. These techniques can be divided into four categories: (1) setting short and long-term goals; (2) setting priorities among competing responsibilities; (3) planning and organising activities; and (4) minimising 'time wasters'. Efforts to improve time management can increase physician productivity and enhance career satisfaction.

Using info-Gap Decision Theory for Water Resources Planning Under Severe Uncertainty

NASA Astrophysics Data System (ADS)

Korteling, B.; Brazier, R.; Kapelan, Z.; Dessai, S.

2012-12-01

Water resource managers are required to develop comprehensive water resource plans based on severely uncertain information of the effects of climate change on local hydrology and future socio-economic changes on localised demand. In England and Wales, current water resource planning methodologies include a headroom estimation process that quantifies uncertainty based on only one point of an assumed range of deviations from the expected climate and projected demand 25 years into the future. There are many situations where there is not enough knowledge to be able to estimate a representative probability of occurrence, or to be confident that the tails of an assumed probability distribution will not exhibit unexpected skewness, or that the kurtosis of a distribution differs from the norm. These situations can be considered severely uncertain. Information-Gap decision theory offers a method to sample a wider range of uncertainty than with traditional methods, and as a result, compare the robustness of various water resource management options under conditions of severe uncertainty. A more robust management option is one that delivers the same level of performance as other options at higher levels of uncertainty. A case study is based on a Water Supply Area that encompasses the county of Cornwall in southwest England containing 17 reservoirs and 19 demand nodes. The performance success of management options are evaluated primarily by measures of water availability including a reservoir risk measure that tests the probability and magnitude that strategic reservoir storage levels fall below the drought management curve under adverse conditions and also a safety margin deficit that tests how quickly reservoir levels can return to optimum operating levels in favourable conditions. Multi-Criteria Decision Analysis (MCDA) is used to test the effectiveness of different management options with different weightings for metrics other than water availability including; capital and operating costs, costs to customers, carbon emissions, environmental impact and social acceptability. Findings show that beyond the uncertainty range explored with the traditional headroom method, preference reversals can occur, i.e. some management options that underperform at lower uncertainties, outperform at higher levels of uncertainty. This study also shows that when 50% or more of the population adopts demand side management, efficiency related measures and innovative options such as rainwater collection can perform equally well or better than some supply side options. The additional use of MCDA shifts the focus away from reservoir expansion options that perform best with respect to water availability, to combined strategies that include innovative demand side management actions of rainwater collection and greywater reuse as well as efficiency measures and additional regional transfers. This research illustrates how an Info-Gap based approach can offer a comprehensive picture of potential supply/demand futures and a rich variety of information to support adaptive management of water systems under severe uncertainty.

Primary healthcare in transition – a qualitative study of how managers perceived a system change

PubMed Central

2013-01-01

Background Primary healthcare in Sweden has undergone widespread reforms in recent years, including freedom of choice regarding provider, freedom of establishment and increased privatisation. The key aims of the reforms were to strengthen the role of the patient and improve performance in terms of access and responsiveness. The aim of this study was to explore how managers at publicly owned primary healthcare centres perceived the transition of the primary healthcare system and the impact it has had on their work. Methods In this qualitative study, 24 managers of publicly owned primary healthcare centres in the metropolitan region of Gothenburg were recruited. Semi-structured interviews were conducted and data were analysed using content analysis inspired by Silverman. Results The analysis revealed two core themes: The transition is perceived as a rapid change, enforced mainly through financial incentives and Prioritisation conflicts arise between patient groups with different needs, demands and levels of empowerment. The transition has produced powerful and rapid effects that were considered to be both positive and negative. While the new financial incentives were seen as a driving force and a tool for change, they also became a stress factor due to uncertainty, competition with other primary healthcare centres and negative feelings associated with staff cutbacks. The shift in power towards the patient improved access and service but also led to more patients with unreasonable demands. Managers found it difficult to prioritise correctly between patient groups with different needs, demands and levels of empowerment and they were concerned about potentially negative effects on less empowered patients, e.g. multi-morbid patients. Managers also experienced shortcomings in their change management skills. Conclusions This qualitative study shows the complexity of the system change and describes the different effects and perceptions of the transition from a manager’s perspective. This suggests a need for improved follow-up and control in order to monitor and govern system changes and ensure development towards a more effective and sustainable primary healthcare system. PMID:24090138

TDM Case Studies and Commuter Testimonials

DOT National Transportation Integrated Search

1998-01-01

When the effects of Travel demand management (TDM) are quantified, it's usually : in terms of mode splits, vehicle miles traveled, average vehicle ridership, : pounds of pollutants saved, and so forth. But to fully appreciate the effect of : TDM stra...

DFAS Needs More Effective Controls Over Managing DoD Contractor Debt

DTIC Science & Technology

2011-07-15

Acrobat fil e onl y) to audc lev@dod ig.m il. Copies of management comments must have the actual signature of the authori zing official for yo ur...Attribute Testing Results 18 E. Sampling Methodology 20 Glossary of Technical Terms 21 Management...Bill of Collection number to each contractor debt as a debt management tool. CDS allows users to prepare a demand letter from the database, post

Family Centers

DTIC Science & Technology

1992-12-30

34 Family Policy," December 30, 1988 o / (b) DoD Directive 4001.1, "Installation Management ,, September 4, 1986 (c) DoD 4165.63-M, "DoD Housing Management ... managing the competing demands of the military mission and the family . They shall provide the information and family services necessary to support single...effectiveness of Family Centers. The evaluation system shall include: (1) A management information report to allow Family Centers to reflect actual workloads

Multidimensional Perspectives on Principal Leadership Effectiveness

ERIC Educational Resources Information Center

Beycioglu, Kadir, Ed.; Pashiardis, Petros, Ed.

2015-01-01

Exceptional management skills are crucial to success in educational environments. As school leaders, principals are expected to effectively supervise the school system while facing a multitude of issues and demands. "Multidimensional Perspectives on Principal Leadership Effectiveness" combines best practices and the latest approaches in…

Laboratory Testing of Demand-Response Enabled Household Appliances

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

Sparn, B.; Jin, X.; Earle, L.

2013-10-01

With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond tomore » demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.« less

Laboratory Testing of Demand-Response Enabled Household Appliances

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

Sparn, B.; Jin, X.; Earle, L.

2013-10-01

With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond tomore » demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses. The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.« less

The effects of climatic change and wildland fires on air quality in national parks and wilderness areas

Treesearch

Don McKenzie

2010-01-01

How will climatic change and wildfire management policies affect public land management decisions concerning air quality through the 21st century? As global temperatures and populations increase and demands on natural resources intensify, managers must evaluate the trade-offs between air quality and ongoing ecosystem restoration. In protected areas, where wilderness...

Crisis Data Management: A Forum Guide to Collecting and Managing Data about Displaced Students. NFES 2010-804

ERIC Educational Resources Information Center

National Forum on Education Statistics, 2010

2010-01-01

In the aftermath of hurricanes Katrina and Rita, the immediate demand for data about displaced students overwhelmed many school districts that had gained or lost students because of the disasters. The scale of these crises and their effects on school operations and management were in many ways unprecedented. This guide reflects "lessons…

Stress Prevention through a Time Management Training Intervention: An Experimental Study

ERIC Educational Resources Information Center

Häfner, Alexander; Stock, Armin; Pinneker, Lydia; Ströhle, Sabine

2014-01-01

The purpose of this study was to examine the effects of a short-term time management training programme on perceived control of time and perceived stress. The sample of 177 freshmen was randomly assigned to a time management training (n?=?89) and an active control group (CG) (n?=?88). We expected that an increase in external demands during the…

Power management and frequency regulation for microgrid and smart grid: A real-time demand response approach

NASA Astrophysics Data System (ADS)

Pourmousavi Kani, Seyyed Ali

Future power systems (known as smart grid) will experience a high penetration level of variable distributed energy resources to bring abundant, affordable, clean, efficient, and reliable electric power to all consumers. However, it might suffer from the uncertain and variable nature of these generations in terms of reliability and especially providing required balancing reserves. In the current power system structure, balancing reserves (provided by spinning and non-spinning power generation units) usually are provided by conventional fossil-fueled power plants. However, such power plants are not the favorite option for the smart grid because of their low efficiency, high amount of emissions, and expensive capital investments on transmission and distribution facilities, to name a few. Providing regulation services in the presence of variable distributed energy resources would be even more difficult for islanded microgrids. The impact and effectiveness of demand response are still not clear at the distribution and transmission levels. In other words, there is no solid research reported in the literature on the evaluation of the impact of DR on power system dynamic performance. In order to address these issues, a real-time demand response approach along with real-time power management (specifically for microgrids) is proposed in this research. The real-time demand response solution is utilized at the transmission (through load-frequency control model) and distribution level (both in the islanded and grid-tied modes) to provide effective and fast regulation services for the stable operation of the power system. Then, multiple real-time power management algorithms for grid-tied and islanded microgrids are proposed to economically and effectively operate microgrids. Extensive dynamic modeling of generation, storage, and load as well as different controller design are considered and developed throughout this research to provide appropriate models and simulation environment to evaluate the effectiveness of the proposed methodologies. Simulation results revealed the effectiveness of the proposed methods in providing balancing reserves and microgrids' economic and stable operation. The proposed tools and approaches can significantly enhance the application of microgrids and demand response in the smart grid era. They will also help to increase the penetration level of variable distributed generation resources in the smart grid.

Design and Implementation of an Interdisciplinary Marketing/Management Course on Technology and Innovation Management

ERIC Educational Resources Information Center

Athaide, Gerard A.; Desai, Harsha B.

2005-01-01

Given increasing industry demand for integrative learning, marketing curricula need to emphasize interdisciplinary approaches to teaching. Although team teaching is a useful method for achieving cross-functional integration, there are very few frameworks for effectively implementing team teaching. Consequently, marketing educators seeking to offer…

Organic rice disease management using genetic resistance, cover crop and organic fertilizer

USDA-ARS?s Scientific Manuscript database

The strong market demand for organic rice has driven the continued increase of organic rice production in the US. However, growers still lack effective tools to manage narrow brown leaf spot (NBLS) caused by Cercospora janseana and brown spot caused by Cochliobolus miyabeanus, two common diseases af...

Optimal Expansion of a Drinking Water Infrastructure System with Respect to Carbon Footprint, Cost Effectiveness and Water Demand

EPA Science Inventory

Urban water infrastructure requires careful long-term expansion planning to reduce the risk from climate change during both the periods of economic boom and recession. As part of the adaptation management strategies, capacity expansion in concert with other management alternativ...

Time Management for New Principals

ERIC Educational Resources Information Center

Ruder, Robert

2008-01-01

Becoming a principal is a milestone in an educator's professional life. The principalship is an opportunity to provide leadership that will afford students opportunities to thrive in a nurturing and supportive environment. Despite the continuously expanding demands of being a new principal, effective time management will enable an individual to be…

Assessment of water availability and demand in Lake Guiers , Senegal.

NASA Astrophysics Data System (ADS)

Sambou, D.; Weihrauch, D.; Hellwing, V.; Diekkrüger, B.; Höllermann, B.; Gaye, A. T.

2015-12-01

Assessment of water availability and demand in Lake Guiers, SenegalWater resources are critical to economic growth and social development. In most African countries, supply of drinking water to satisfy population needs is a key issue because of population growth and climate and land use change. During the last three decades, increasing population, changing patterns of water demand, and concentration of population and economic activities in urban areas has pressurize Senegal's freshwater resources. To overcome this deficit, Senegal turned, to the exploitation of the Lake Guiers. It is the sole water reservoir which can be used extensively as a stable freshwater. Its water is use for irrigating crops and sugar refinery and as a drinking water resource for urban centres, including Dakar, the capital city of Senegal, as well as for the local population and animal herds. To ensure sustainability, a greater understanding of Lake Guiers's water resources and effective management of its use will be required. In this study we developed and quantified future water situation (water availability and demand) in Lake Guiers under scenarios of climate change and population growth until 2050, using the water management model WEAP (Water Evaluation And Planning system). The results show that the pressure on Lake Guiers's water resources will increase, leading to greater competition between agriculture and municipal demand site. Decreasing inflows due to climate change will aggravate this situation. WEAP results offer basis to assister lake Guiers water resources manager for an efficient long-term planning and management. Keywords: climate change, population growth , IWRM, Lake Guiers, Senegal

Evaluation of alternative groundwater-management strategies for the Bureau of Reclamation Klamath Project, Oregon and California

USGS Publications Warehouse

Wagner, Brian J.; Gannett, Marshall W.

2014-01-01

The water resources of the upper Klamath Basin, in southern Oregon and northern California, are managed to achieve various complex and interconnected purposes. Since 2001, irrigators in the Bureau of Reclamation Klamath Irrigation Project (Project) have been required to limit surface-water diversions to protect habitat for endangered freshwater and anadromous fishes. The reductions in irrigation diversions have led to an increased demand for groundwater by Project irrigators, particularly in drought years. The potential effects of sustained pumping on groundwater and surface-water resources have caused concern among Federal and state agencies, Indian tribes, wildlife groups, and groundwater users. To aid in the development of a viable groundwater-management strategy for the Project, the U.S. Geological Survey, in collaboration with the Klamath Water and Power Agency and the Oregon Water Resources Department, developed a groundwater-management model that links groundwater simulation with techniques of constrained optimization. The overall goal of the groundwater-management model is to determine the patterns of groundwater pumping that, to the extent possible, meet the supplemental groundwater demands of the Project. To ensure that groundwater development does not adversely affect groundwater and surface-water resources, the groundwater-management model includes constraints to (1) limit the effects of groundwater withdrawal on groundwater discharge to streams and lakes that support critical habitat for fish listed under the Endangered Species Act, (2) ensure that drawdowns do not exceed limits allowed by Oregon water law, and (3) ensure that groundwater withdrawal does not adversely affect agricultural drain flows that supply a substantial portion of water for irrigators and wildlife refuges in downslope areas of the Project. Groundwater-management alternatives were tested and designed within the framework of the Klamath Basin Restoration Agreement (currently [2013] awaiting authorizing Federal legislation), which would establish a permanent limit on the amount of surface water that can be diverted annually to the Project. Groundwater-management scenarios were evaluated for the period 1970•2004; supplemental groundwater demand by the Project was estimated as the part of irrigation demand that would not have been satisfied by the surface-water diversion allowed under the Klamath Basin Restoration Agreement. Over the 35-year management period, 22 years have supplemental groundwater demand, which ranges from a few thousand acre-feet (acre-ft) to about 100,000 acre-ft in the driest years. The results of the groundwater-management model indicate that supplemental groundwater pumping by the Project can be managed to avoid adverse effects to groundwater discharge that supports critical aquatic habitat. The existing configuration of wells in the Project would be able to meet groundwater-pumping goals in 14 of the 22 years with supplemental groundwater demand; however, substantial irrigation shortages can be expected during drought periods when the demand for supplemental groundwater is highest. The maximum irrigation-season withdrawal calculated by the groundwater-management model is about 60,000 acre-ft, the average withdrawal in drought years is about 54,000 acre-ft, and the amount of unmet groundwater demand reaches a maximum of about 45,000 acre-ft. A comparison of optimized groundwater withdrawals by geographic region shows that the highest annual withdrawals are associated with wells in the Tule Lake and Klamath Valley regions of the Project. The patterns of groundwater withdrawal also show that a substantial amount of the available pumping capacity is unused due to the restrictions imposed by drawdown constraints. Subsequent model applications were used to evaluate the sensitivity of optimization results to various factors. A sensitivity analysis quantified the changes in optimized groundwater withdrawals that result from changes in drawdown-constraint limits. The analysis showed the potential for substantial increases in withdrawals of groundwater with less restrictive drawdown limits at drawdown-control sites in the California part of the model. Systematic variation of the drains-constraint limit yielded a trade-off curve between optimized groundwater withdrawals and the allowable reduction in groundwater discharge to the Project drain system. Additional model applications were used to assess the value of increasing the pumping capacity of the network of wells serving the Project, and the relation between reduced off-Project groundwater pumping and increased pumping by Project irrigators.

When the 'soft-path' gets hard: demand management and financial instability for water utilities

NASA Astrophysics Data System (ADS)

Zeff, H. B.; Characklis, G. W.

2014-12-01

In the past, cost benefit analysis (CBA) has been viewed as an effective means of evaluating water utility strategies, particularly those that were dependent on the construction of new supply infrastructure. As water utilities have begun to embrace 'soft-path' approaches as a way to reduce the need for supply-centric development, CBA fails to recognize some important financial incentives affected by reduced water consumption. Demand management, both as a short-term response to drought and in longer-term actions to accommodate demand growth, can introduce revenue risks that adversely affect a utility's ability to repay debt, re-invest in aging infrastructure, or maintain reserve funds for use in a short-term emergency. A utility that does not generate sufficient revenue to support these functions may be subject to credit rating downgrades, which in turn affect the interest rate it pays on its debt. Interest rates are a critical consideration for utility managers in the capital-intensive water sector, where debt payments for infrastructure often account for a large portion of a utility's overall costs. Even a small increase in interest rates can add millions of dollars to the cost of new infrastructure. Recent studies have demonstrated that demand management techniques can lead to significant revenue variability, and credit rating agencies have begun to take notice of drought response plans when evaluating water utility credit ratings, providing utilities with a disincentive to fully embrace soft-path approaches. This analysis examines the impact of demand management schemes on key credit rating metrics for a water utility in Raleigh, North Carolina. The utility's consumer base is currently experiencing rapid population growth, and demand management has the potential to reduce the dependence on costly new supply infrastructure but could lead to financial instability that will significantly increase the costs of financing future projects. This work analyzes how 'soft-path' approaches might be more efficiently integrated with investment in supply-side infrastructure and suggests how financial hedging tools could be used to improve long-term utility planning objectives.

Estimation of Energy Consumption and Greenhouse Gas Emissions considering Aging and Climate Change in Residential Sector

NASA Astrophysics Data System (ADS)

Lee, M.; Park, C.; Park, J. H.; Jung, T. Y.; Lee, D. K.

2015-12-01

The impacts of climate change, particularly that of rising temperatures, are being observed across the globe and are expected to further increase. To counter this phenomenon, numerous nations are focusing on the reduction of greenhouse gas (GHG) emissions. Because energy demand management is considered as a key factor in emissions reduction, it is necessary to estimate energy consumption and GHG emissions in relation to climate change. Further, because South Korea is the world's fastest nation to become aged, demographics have also become instrumental in the accurate estimation of energy demands and emissions. Therefore, the purpose of this study is to estimate energy consumption and GHG emissions in the residential sectors of South Korea with regard to climate change and aging to build more accurate strategies for energy demand management and emissions reduction goals. This study, which was stablished with 2010 and 2050 as the base and target years, respectively, was divided into a two-step process. The first step evaluated the effects of aging and climate change on energy demand, and the second estimated future energy use and GHG emissions through projected scenarios. First, aging characteristics and climate change factors were analyzed by using the logarithmic mean divisia index (LMDI) decomposition analysis and the application of historical data. In the analysis of changes in energy use, the effects of activity, structure, and intensity were considered; the degrees of contribution were derived from each effect in addition to their relations to energy demand. Second, two types of scenarios were stablished based on this analysis. The aging scenarios are business as usual and future characteristics scenarios, and were used in combination with Representative Concentration Pathway (RCP) 2.6 and 8.5. Finally, energy consumption and GHG emissions were estimated by using a combination of scenarios. The results of these scenarios show an increase in energy consumption and GHG emissions from 2010 to 2050. This growth is caused by increases in heating energy because the elderly generally spend more time at home, and cooling energy owing to rising temperatures. This study will be useful in the preparation of energy demand management policies and the establishment and attainability of GHG emissions reduction goals.

Data-driven behavioural modelling of residential water consumption to inform water demand management strategies

NASA Astrophysics Data System (ADS)

Giuliani, Matteo; Cominola, Andrea; Alshaf, Ahmad; Castelletti, Andrea; Anda, Martin

2016-04-01

The continuous expansion of urban areas worldwide is expected to highly increase residential water demand over the next few years, ultimately challenging the distribution and supply of drinking water. Several studies have recently demonstrated that actions focused only on the water supply side of the problem (e.g., augmenting existing water supply infrastructure) will likely fail to meet future demands, thus calling for the concurrent deployment of effective water demand management strategies (WDMS) to pursue water savings and conservation. However, to be effective WDMS do require a substantial understanding of water consumers' behaviors and consumption patterns at different spatial and temporal resolutions. Retrieving information on users' behaviors, as well as their explanatory and/or causal factors, is key to spot potential areas for targeting water saving efforts and to design user-tailored WDMS, such as education campaigns and personalized recommendations. In this work, we contribute a data-driven approach to identify household water users' consumption behavioural profiles and model their water use habits. State-of-the-art clustering methods are coupled with big data machine learning techniques with the aim of extracting dominant behaviors from a set of water consumption data collected at the household scale. This allows identifying heterogeneous groups of consumers from the studied sample and characterizing them with respect to several consumption features. Our approach is validated onto a real-world household water consumption dataset associated with a variety of demographic and psychographic user data and household attributes, collected in nine towns of the Pilbara and Kimberley Regions of Western Australia. Results show the effectiveness of the proposed method in capturing the influence of candidate determinants on residential water consumption profiles and in attaining sufficiently accurate predictions of users' consumption behaviors, ultimately providing valuable information to water utilities and managers.

Managing demand for laboratory tests: a laboratory toolkit.

PubMed

Fryer, Anthony A; Smellie, W Stuart A

2013-01-01

Healthcare budgets worldwide are facing increasing pressure to reduce costs and improve efficiency, while maintaining quality. Laboratory testing has not escaped this pressure, particularly since pathology investigations cost the National Health Service £2.5 billion per year. Indeed, the Carter Review, a UK Department of Health-commissioned review of pathology services in England, estimated that 20% of this could be saved by improving pathology services, despite an average annual increase of 8%-10% in workload. One area of increasing importance is managing the demands for pathology tests and reducing inappropriate requesting. The Carter Review estimated that 25% of pathology tests were unnecessary, representing a huge potential waste. Certainly, the large variability in levels of requesting between general practitioners suggests that inappropriate requesting is widespread. Unlocking the key to this variation and implementing measures to reduce inappropriate requesting would have major implications for patients and healthcare resources alike. This article reviews the approaches to demand management. Specifically, it aims to (a) define demand management and inappropriate requesting, (b) assess the drivers for demand management, (c) examine the various approaches used, illustrating the potential of electronic requesting and (d) provide a wider context. It will cover issues, such as educational approaches, information technology opportunities and challenges, vetting, duplicate request identification and management, the role of key performance indicators, profile composition and assessment of downstream impact of inappropriate requesting. Currently, many laboratories are exploring demand management using a plethora of disparate approaches. Hence, this review seeks to provide a 'toolkit' with the view to allowing laboratories to develop a standardised demand management strategy.

Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management.

PubMed

Bam, L; McLaren, Z M; Coetzee, E; von Leipzig, K H

2017-10-01

The under-performance of supply chains presents a significant hindrance to disease control in developing countries. Stock-outs of essential medicines lead to treatment interruption which can force changes in patient drug regimens, drive drug resistance and increase mortality. This study is one of few to quantitatively evaluate the effectiveness of supply chain policies in reducing shortages and costs. This study develops a systems dynamics simulation model of the downstream supply chain for amikacin, a second-line tuberculosis drug using 10 years of South African data. We evaluate current supply chain performance in terms of reliability, responsiveness and agility, following the widely-used Supply Chain Operation Reference framework. We simulate 141 scenarios that represent different combinations of supplier characteristics, inventory management strategies and demand forecasting methods to identify the Pareto optimal set of management policies that jointly minimize the number of shortages and total cost. Despite long supplier lead times and unpredictable demand, the amikacin supply chain is 98% reliable and agile enough to accommodate a 20% increase in demand without a shortage. However, this is accomplished by overstocking amikacin by 167%, which incurs high holding costs. The responsiveness of suppliers is low: only 57% of orders are delivered to the central provincial drug depot within one month. We identify three Pareto optimal safety stock management policies. Short supplier lead time can produce Pareto optimal outcomes even in the absence of other optimal policies. This study produces concrete, actionable guidelines to cost-effectively reduce stock-outs by implementing optimal supply chain policies. Preferentially selecting drug suppliers with short lead times accommodates unexpected changes in demand. Optimal supply chain management should be an essential component of national policy to reduce the mortality rate. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Smart Grid Risk Management

NASA Astrophysics Data System (ADS)

Abad Lopez, Carlos Adrian

Current electricity infrastructure is being stressed from several directions -- high demand, unreliable supply, extreme weather conditions, accidents, among others. Infrastructure planners have, traditionally, focused on only the cost of the system; today, resilience and sustainability are increasingly becoming more important. In this dissertation, we develop computational tools for efficiently managing electricity resources to help create a more reliable and sustainable electrical grid. The tools we present in this work will help electric utilities coordinate demand to allow the smooth and large scale integration of renewable sources of energy into traditional grids, as well as provide infrastructure planners and operators in developing countries a framework for making informed planning and control decisions in the presence of uncertainty. Demand-side management is considered as the most viable solution for maintaining grid stability as generation from intermittent renewable sources increases. Demand-side management, particularly demand response (DR) programs that attempt to alter the energy consumption of customers either by using price-based incentives or up-front power interruption contracts, is more cost-effective and sustainable in addressing short-term supply-demand imbalances when compared with the alternative that involves increasing fossil fuel-based fast spinning reserves. An essential step in compensating participating customers and benchmarking the effectiveness of DR programs is to be able to independently detect the load reduction from observed meter data. Electric utilities implementing automated DR programs through direct load control switches are also interested in detecting the reduction in demand to efficiently pinpoint non-functioning devices to reduce maintenance costs. We develop sparse optimization methods for detecting a small change in the demand for electricity of a customer in response to a price change or signal from the utility, dynamic learning methods for scheduling the maintenance of direct load control switches whose operating state is not directly observable and can only be inferred from the metered electricity consumption, and machine learning methods for accurately forecasting the load of hundreds of thousands of residential, commercial and industrial customers. These algorithms have been implemented in the software system provided by AutoGrid, Inc., and this system has helped several utilities in the Pacific Northwest, Oklahoma, California and Texas, provide more reliable power to their customers at significantly reduced prices. Providing power to widely spread out communities in developing countries using the conventional power grid is not economically feasible. The most attractive alternative source of affordable energy for these communities is solar micro-grids. We discuss risk-aware robust methods to optimally size and operate solar micro-grids in the presence of uncertain demand and uncertain renewable generation. These algorithms help system operators to increase their revenue while making their systems more resilient to inclement weather conditions.

Effectiveness of a nurse-supported self-management programme for dual sensory impaired older adults in long-term care: a cluster randomised controlled trial

PubMed Central

Roets-Merken, Lieve M; Zuidema, Sytse U; Vernooij-Dassen, Myrra J F J; Teerenstra, Steven; Hermsen, Pieter G J M; Kempen, Gertrudis I J M; Graff, Maud J L

2018-01-01

Objective To evaluate the effectiveness of a nurse-supported self-management programme to improve social participation of dual sensory impaired older adults in long-term care homes. Design Cluster randomised controlled trial. Setting Thirty long-term care homes across the Netherlands. Participants Long-term care homes were randomised into intervention clusters (n=17) and control clusters (n=13), involving 89 dual sensory impaired older adults and 56 licensed practical nurses. Intervention Nurse-supported self-management programme. Measurements Effectiveness was evaluated by the primary outcome social participation using a participation scale adapted for visually impaired older adults distinguishing four domains: instrumental activities of daily living, social-cultural activities, high-physical-demand and low-physical-demand leisure activities. A questionnaire assessing hearing-related participation problems was added as supportive outcome. Secondary outcomes were autonomy, control, mood and quality of life and nurses’ job satisfaction. For effectiveness analyses, linear mixed models were used. Sampling and intervention quality were analysed using descriptive statistics. Results Self-management did not affect all four domains of social participation; however. the domain ‘instrumental activities of daily living’ had a significant effect in favour of the intervention group (P=0.04; 95% CI 0.12 to 8.5). Sampling and intervention quality was adequate. Conclusions A nurse-supported self-management programme was effective in empowering the dual sensory impaired older adults to address the domain ‘instrumental activities of daily living’, but no differences were found in addressing the other three participation domains. Self-management showed to be beneficial for managing practical problems, but not for those problems requiring behavioural adaptations of other persons. Trial registration number NCT01217502; Results. PMID:29371264

Water Management, Partnerships, Rights, and Market Trends: An Overview for Army Installation Managers

DTIC Science & Technology

2016-01-01

temperatures , precipitation, wind patterns, and other global processes will affect both water supply and demand. Figure 2.19 summarizes the effect higher...relative to the baseline of the agency’s water consumption in FY 2007, through life-cycle cost effective measures by 2 percent annually through the end of...block sizes are established, they only will be effective if they accurately reflect patterns of water consumption . Third, the price increase needs

EPA'S PHOTOVOLTAIC DEMAND-SIDE MANAGEMENT COST-SHARED DEMONSTRATIONS

EPA Science Inventory

The paper discusses an investigation of how photovoltaics (PV) may be used as both a pollution-mitigating energy replacement for fossil fuels and a demand-side management (DSM) option to reduce peak electrical demands of commercial and residential buildings. leven electric utilit...

U.S. EPA'S PHOTOVOLTAIC DEMAND-SIDE MANAGEMENT PROJECT

EPA Science Inventory

The paper discusses an investigation of how photovoltaic (PV) may be used as both a pollution-mitigating energy replacement for fossil fuels and a demand-side management (DSM) option to reduce peak electrical demands of commercial and residential buildings. leven electric utiliti...

Price impact on urban residential water demand: A dynamic panel data approach

NASA Astrophysics Data System (ADS)

ArbuéS, Fernando; BarberáN, Ramón; Villanúa, Inmaculada

2004-11-01

In this paper, we formulate and estimate a model of residential water demand with the aim of evaluating the potential of pricing policies as a mechanism for managing residential water. The proposed econometric model offers a new perspective on urban water demand analysis by combining microlevel data with a dynamic panel data estimation procedure. The empirical application suggests that residential users are more responsive to a lagged average price specification. Another result of the estimated model is that price is a moderately effective tool in reducing residential water demand within the present range of prices, with the estimated values for income elasticity and "elasticity of consumption with respect to family size" reinforcing this conclusion.

Re-Envisioning Management Education and Training for Information Professionals

ERIC Educational Resources Information Center

Singh, Rajesh; Vorbach, James

2017-01-01

The evolving demand for workforce skills has often been a topic of discussion at various professional library and information science (LIS) conferences and in the academic literature. Although LIS schools tend to highlight the goal of preparing future members of the LIS profession to be effective leaders, a management and leadership curriculum gap…

Different Solutions to the Same Problems.

ERIC Educational Resources Information Center

Richards, Ann

1998-01-01

Notes that classroom management is an important part of teaching, and discusses movement, music, and drama as effective classroom-management tools for difficult parts of the daily routine. Offers examples of songs, chants, finger plays, and other activities to ease the stress of waiting, or to help meet the physical and emotional demands of young…

Management of Wood Products Manufacturing Using Simulation/Animation

Treesearch

D. Earl Kline; J.K. Wiedenbeck; Philip A. Araman

1992-01-01

Managers of hardwood processing facilities need timely information on which to base important decisions such as when to add costly equipment or how to improve profitability subject to time-varying demands. The overall purpose of this paper is to introduce a method that can effectively provide such timely information. A simulation/animation modeling procedure is...

Estimating the impact of the home appliances trade-in policy on WEEE management in China.

PubMed

Zhu, Shuguang; He, Wenzhi; Li, Guangming; Zhuang, Xuning; Huang, Juwen; Liang, Honggen; Han, Yuebin

2012-11-01

The ever-increasing amount of waste electric and electronic equipment (WEEE) has become a global problem. In view of the deleterious effects of WEEE on the environment and the valuable materials that can be reused in them, many countries have focused their attention on the management of WEEE and the recovery technologies of WEEE. The Chinese government has been active in creating a legislative and institutional framework to realize WEEE recycling. In June 2009, Chinese government launched home appliances and electronics trade-in implementation solution. This paper elaborates the home appliances trade-in policy and its significant impact on the WEEE management. The trade-in policy is not only conducive to expanding the consumption demand and promoting the balance of domestic and overseas demand, but also favorable to improving the energy efficiency and reducing environmental pollution. Under this policy, China has successfully established an effective WEEE recycling system, using the financial means and network design. Experiences gained from the trade-in policy have shown that management systems of WEEE need to be designed and implemented in a multi-stakeholder dialogue.

Demand, Energy, and Power Factor

DTIC Science & Technology

1994-08-01

POWER FACTOR DEFINITION I Basically , power factor (pf) is a measure of how effectively the plant uses the electricity it purchases from the utility. It...not be made available by the plant. U 24 This video is relatively short, less than fifteen-minutes, and covers the basics on demand, block extenders...designing, implementing, and evaluation of the resultant project. 1 2. Thumann, Albeit. Plant Engineer and Managers Guide to Energv Conservation, 5th ed

Evaluation of four structural best management practices for highway runoff in Beaufort and Colleton Counties, South Carolina, 2005–2006

USGS Publications Warehouse

Conlon, Kevin J.; Journey, Celeste A.

2008-01-01

In general, the four BMPs were not successful at significantly reducing fecal bacteria, nutrients, and total organic carbon (including associated properties of biochemical oxygen demand and chemical oxygen demand). Three of the four BMPs significantly lowered oil and grease concentrations before the stormwater discharged from the outlet. Additionally, only one BMP was effective at reducing all total and particulate

Effects of dynamic-demand-control appliances on the power grid frequency.

PubMed

Tchuisseu, E B Tchawou; Gomila, D; Brunner, D; Colet, P

2017-08-01

Power grid frequency control is a demanding task requiring expensive idle power plants to adapt the supply to the fluctuating demand. An alternative approach is controlling the demand side in such a way that certain appliances modify their operation to adapt to the power availability. This is especially important to achieve a high penetration of renewable energy sources. A number of methods to manage the demand side have been proposed. In this work we focus on dynamic demand control (DDC), where smart appliances can delay their switchings depending on the frequency of the system. We introduce a simple model to study the effects of DDC on the frequency of the power grid. The model includes the power plant equations, a stochastic model for the demand that reproduces, adjusting a single parameter, the statistical properties of frequency fluctuations measured experimentally, and a generic DDC protocol. We find that DDC can reduce small and medium-size fluctuations but it can also increase the probability of observing large frequency peaks due to the necessity of recovering pending task. We also conclude that a deployment of DDC around 30-40% already allows a significant reduction of the fluctuations while keeping the number of pending tasks low.

Effects of dynamic-demand-control appliances on the power grid frequency

NASA Astrophysics Data System (ADS)

Tchuisseu, E. B. Tchawou; Gomila, D.; Brunner, D.; Colet, P.

2017-08-01

Power grid frequency control is a demanding task requiring expensive idle power plants to adapt the supply to the fluctuating demand. An alternative approach is controlling the demand side in such a way that certain appliances modify their operation to adapt to the power availability. This is especially important to achieve a high penetration of renewable energy sources. A number of methods to manage the demand side have been proposed. In this work we focus on dynamic demand control (DDC), where smart appliances can delay their switchings depending on the frequency of the system. We introduce a simple model to study the effects of DDC on the frequency of the power grid. The model includes the power plant equations, a stochastic model for the demand that reproduces, adjusting a single parameter, the statistical properties of frequency fluctuations measured experimentally, and a generic DDC protocol. We find that DDC can reduce small and medium-size fluctuations but it can also increase the probability of observing large frequency peaks due to the necessity of recovering pending task. We also conclude that a deployment of DDC around 30-40% already allows a significant reduction of the fluctuations while keeping the number of pending tasks low.

Driving forces behind the Chinese public's demand for improved environmental safety.

PubMed

Wen, Ting; Wang, Jigan; Ma, Zongwei; Bi, Jun

2017-12-15

Over the past decades, the public demand for improved environmental safety keeps increasing in China. This study aims to assess the driving forces behind the increasing public demand for improved environmental safety using a provincial and multi-year (1995, 2000, 2005, 2010, and 2014) panel data and the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The potential driving forces investigated included population size, income levels, degrees of urbanization, and educational levels. Results show that population size and educational level are positively (P<0.01) associated with public demand for improved environmental safety. No significant impact on demand was found due to the degree of urbanization. For the impact due to income level, an inverted U-shaped curve effect with the turning point of ~140,000 CNY GDP per capita is indicated. Since per capita GDP of 2015 in China was approximately 50,000 CNY and far from the turning point, the public demand for improved environmental safety will continue rising in the near future. To meet the increasing public demand for improved environmental safety, proactive and risk prevention based environmental management systems coupled with effective environmental risk communication should be established. Copyright © 2017 Elsevier B.V. All rights reserved.

An Integrated Hydrologic-Economic Modeling Tool for Evaluating Water Management Responses to Climate Change in the Boise River Basin

NASA Astrophysics Data System (ADS)

Schmidt, R. D.; Taylor, R. G.; Stodick, L. D.; Contor, B. A.

2009-12-01

A recent federal interagency report on climate change and water management (Brekke et. al., 2009) describes several possible management responses to the impacts of climate change on water supply and demand. Management alternatives include changes to water supply infrastructure, reservoir system operations, and water demand policies. Water users in the Bureau of Reclamation’s Boise Project (located in the Lower Boise River basin in southwestern Idaho) would be among those impacted both hydrologically and economically by climate change. Climate change and management responses to climate change are expected to cause shifts in water supply and demand. Supply shifts would result from changes in basin precipitation patterns, and demand shifts would result from higher evapotranspiration rates and a longer growing season. The impacts would also extend to non-Project water users in the basin, since most non-Project groundwater pumpers and drain water diverters rely on hydrologic externalities created by seepage losses from Boise Project water deliveries. An integrated hydrologic-economic model was developed for the Boise basin to aid Reclamation in evaluating the hydrologic and economic impacts of various management responses to climate change. A spatial, partial-equilibrium, economic optimization model calculates spatially-distinct equilibrium water prices and quantities, and maximizes a social welfare function (the sum of consumer and producers surpluses) for all agricultural and municipal water suppliers and demanders (both Project and non-Project) in the basin. Supply-price functions and demand-price functions are exogenous inputs to the economic optimization model. On the supply side, groundwater and river/reservoir models are used to generate hydrologic responses to various management alternatives. The response data is then used to develop water supply-price functions for Project and non-Project water users. On the demand side, crop production functions incorporating crop distribution, evapotranspiration rates, irrigation efficiencies, and crop prices are used to develop water demand-price functions for agricultural water users. Demand functions for municipal and industrial water users are also developed. Recent applications of the integrated model have focused on the hydrologic and economic impacts of demand management alternatives, including large-scale canal lining conservation measures, and market-based water trading between canal diverters and groundwater pumpers. A supply management alternative being investigated involves revising reservoir rule curves to compensate for climate change impacts on timing of reservoir filling.

Probabilistic Predictions of Traffic Demand for En Route Sectors Based on Individual Flight Data

DOT National Transportation Integrated Search

2010-01-01

The Traffic Flow Management System (TFMS) predicts the demand for each sector, and traffic managers use these predictions to spot possible congestion and to take measures to prevent it. These predictions of sector demand, however, are currently made ...

Individual- and Organization-Level Work-to-Family Spillover Are Uniquely Associated with Hotel Managers' Work Exhaustion and Satisfaction.

PubMed

Lee, Soomi; Davis, Kelly D; Neuendorf, Claudia; Grandey, Alicia; Lam, Chun Bun; Almeida, David M

2016-01-01

Building on the Conservation of Resources theory, this paper examined the unique and interactive associations of negative and positive work-to-family spillover (NWFS and PWFS, respectively) at the individual and organizational level with hotel managers' work exhaustion and satisfaction, beyond job demands and supervisors' leadership style. Guided by the levels of analysis framework, we first tested the unique associations of NWFS and PWFS with emotional exhaustion and job satisfaction at the individual level (571 hotel managers), beyond job demands supervisors' leadership style. Second, using multilevel modeling, we tested the climate effects of NWFS and PWFS on emotional exhaustion and job satisfaction aggregated at the organizational level (41 hotels). Third, we examined the role of the organizational climate of PWFS in the associations of individual-level NWFS with emotional exhaustion and job satisfaction. Beyond the effects of psychological job demands and supervisor's transformational leadership, at the individual level, hotel managers who experienced higher NWFS than other managers reported more exhaustion and lower job satisfaction, whereas those with higher PWFS reported less exhaustion and higher satisfaction. At the organizational level, working in hotels where the average level of NWFS was higher than other hotels was associated with feeling more exhaustion of the individual members; working in hotels with higher PWFS was associated with feeling less exhaustion. The negative link between individual-level NWFS and job satisfaction was buffered when organization-level PWFS was higher, compared to when it was lower. This study moves beyond a focus on traditional job characteristics, toward considering individual and organizational experiences in the work-family interface as unique predictors of work exhaustion and satisfaction. Strengths of the study include illuminating organizational work-family climate effects such that coworkers' shared experiences of NWFS and PWFS explain individual members' work exhaustion, beyond their own experiences of spillover. The results also highlight that a high level of organizational PWFS can buffer the negative effects of individual NWFS.

Dynamic management of integrated residential energy systems

NASA Astrophysics Data System (ADS)

Muratori, Matteo

This study combines principles of energy systems engineering and statistics to develop integrated models of residential energy use in the United States, to include residential recharging of electric vehicles. These models can be used by government, policymakers, and the utility industry to provide answers and guidance regarding the future of the U.S. energy system. Currently, electric power generation must match the total demand at each instant, following seasonal patterns and instantaneous fluctuations. Thus, one of the biggest drivers of costs and capacity requirement is the electricity demand that occurs during peak periods. These peak periods require utility companies to maintain operational capacity that often is underutilized, outdated, expensive, and inefficient. In light of this, flattening the demand curve has long been recognized as an effective way of cutting the cost of producing electricity and increasing overall efficiency. The problem is exacerbated by expected widespread adoption of non-dispatchable renewable power generation. The intermittent nature of renewable resources and their non-dispatchability substantially limit the ability of electric power generation of adapting to the fluctuating demand. Smart grid technologies and demand response programs are proposed as a technical solution to make the electric power demand more flexible and able to adapt to power generation. Residential demand response programs offer different incentives and benefits to consumers in response to their flexibility in the timing of their electricity consumption. Understanding interactions between new and existing energy technologies, and policy impacts therein, is key to driving sustainable energy use and economic growth. Comprehensive and accurate models of the next-generation power system allow for understanding the effects of new energy technologies on the power system infrastructure, and can be used to guide policy, technology, and economic decisions. This dissertation presents a bottom-up highly resolved model of a generic residential energy eco-system in the United States. The model is able to capture the entire energy footprint of an individual household, to include all appliances, space conditioning systems, in-home charging of plug-in electric vehicles, and any other energy needs, viewing residential and transportation energy needs as an integrated continuum. The residential energy eco-system model is based on a novel bottom-up approach that quantifies consumer energy use behavior. The incorporation of stochastic consumer behaviors allows capturing the electricity consumption of each residential specific end-use, providing an accurate estimation of the actual amount of available controllable resources, and for a better understanding of the potential of residential demand response programs. A dynamic energy management framework is then proposed to manage electricity consumption inside each residential energy eco-system. Objective of the dynamic energy management framework is to optimize the scheduling of all the controllable appliances and in-home charging of plug-in electric vehicles to minimize cost. Such an automated energy management framework is used to simulate residential demand response programs, and evaluate their impact on the electric power infrastructure. For instance, time-varying electricity pricing might lead to synchronization of the individual residential demands, creating pronounced rebound peaks in the aggregate demand that are higher and steeper than the original demand peaks that the time-varying electricity pricing structure intended to eliminate. The modeling tools developed in this study can serve as a virtual laboratory for investigating fundamental economic and policy-related questions regarding the interplay of individual consumers with energy use. The models developed allow for evaluating the impact of different energy policies, technology adoption, and electricity price structures on the total residential electricity demand. In particular, two case studies are reported in this dissertation to illustrate application of the tools developed. The first considers the impact of market penetration of plug-in electric vehicles on the electric power infrastructure. The second provides a quantitative comparison of the impact of different electricity price structures on residential demand response. Simulation results and an electricity price structure, called Multi-TOU, aimed at solving the rebound peak issue, are presented.

Management of demand in the NHS, including the effects of queues and pensioners.

PubMed

Groocock, J

1999-01-01

Discusses the methods used in the NHS to bring demand into balance with supply. People with minor illnesses try self-treatments and alternative medicine. Systematic programs to identify ill people are applied to only a few illnesses. Waiting lists for elective surgery cause some richer people to take their demand to private hospitals. An analysis of such waiting lists shows that, other than this, queues are not a method of rationing but are just the effect of bad management of the actual methods, which are then discussed. The same methods are used to ration access to specialist physicians. Providing extra resources would eliminate queues only if another condition was satisfied. It is argued that providing fully adequate medical care for patients of working age, although expensive, might produce a net economic gain, whereas all care for pensioners, including medical care, gives a net economic loss. Therefore it may not be sensible for people to have inadequate medical care for the first 65 years of their lives just because it is economically impracticable for them to have fully adequate medical care when they are pensioners.

Energy management and cooperation in microgrids

NASA Astrophysics Data System (ADS)

Rahbar, Katayoun

Microgrids are key components of future smart power grids, which integrate distributed renewable energy generators to efficiently serve the load demand locally. However, random and intermittent characteristics of renewable energy generations may hinder the reliable operation of microgrids. This thesis is thus devoted to investigating new strategies for microgrids to optimally manage their energy consumption, energy storage system (ESS) and cooperation in real time to achieve the reliable and cost-effective operation. This thesis starts with a single microgrid system. The optimal energy scheduling and ESS management policy is derived to minimize the energy cost of the microgrid resulting from drawing conventional energy from the main grid under both the off-line and online setups, where the renewable energy generation/load demand are assumed to be non-causally known and causally known at the microgrid, respectively. The proposed online algorithm is designed based on the optimal off-line solution and works under arbitrary (even unknown) realizations of future renewable energy generation/load demand. Therefore, it is more practically applicable as compared to solutions based on conventional techniques such as dynamic programming and stochastic programming that require the prior knowledge of renewable energy generation and load demand realizations/distributions. Next, for a group of microgrids that cooperate in energy management, we study efficient methods for sharing energy among them for both fully and partially cooperative scenarios, where microgrids are of common interests and self-interested, respectively. For the fully cooperative energy management, the off-line optimization problem is first formulated and optimally solved, where a distributed algorithm is proposed to minimize the total (sum) energy cost of microgrids. Inspired by the results obtained from the off-line optimization, efficient online algorithms are proposed for the real-time energy management, which are of low complexity and work given arbitrary realizations of renewable energy generation/load demand. On the other hand, for self-interested microgrids, the partially cooperative energy management is formulated and a distributed algorithm is proposed to optimize the energy cooperation such that energy costs of individual microgrids reduce simultaneously over the case without energy cooperation while limited information is shared among the microgrids and the central controller.

Outsourcing to increase service capacity in a New Zealand hospital.

PubMed

Renner, C; Palmer, E

1999-01-01

Service firms manage variability using both demand-side tactics (levelling customer demand), and supply-side tactics (increasing available capacity). One popular way of increasing available capacity is the outsourcing of non-core services. This article uses a case study to examine the impact of an outsourced non-core service on a hospital's overall service system. Findings show that the outsourced service provides access to more sophisticated technology, increases in-house capacity and saves capital expenditure. However, the outsourcing also increases the scheduling problems that the hospital faces. These problems are largely due to communication delays from the involvement of more than one organisation. These delays decrease the response time available to match changes in demand for the outsourced service. Given the obvious benefits of such outsourcing, the article concludes that management should pay close attention to the communication pathways between organisations, in order to minimise the end effects identified in this study.

Reducing Gridlock on the Grid: Utility Trends in Managing Peak Electric Load through Residential Demand Response

NASA Astrophysics Data System (ADS)

McDonald, Betsy

Utilities across the United States are piloting residential demand response programs to help manage peak electric demand. Using publicly available program evaluations, this thesis analyzes nine such programs to uncover and synthesize the range of program offerings, goals, enrollment strategies, and customer experiences. This review reveals that program participation, components, and results differ based on a variety of factors, including geographic characteristics, program goals, and implementation strategies. The diversity of program designs and evaluation findings suggests an underlying tension between the need to generate cost-effective program impacts and the desire to increase accessibility so that program benefits are not exclusive to certain segments of the population. For more significant and impactful engagement, program goals may need to shift. State level policy support could help shift program goals toward increasing program accessibility. Future research should explore creative strategies that target existing barriers and allow for more inclusive deployment.

The impact of social and organizational factors on workers' use of personal protective equipment: a multilevel approach.

PubMed

Torp, Steffen; Grøgaard, Jens B; Moen, Bente E; Bråtveit, Magne

2005-08-01

On the basis of the job demands-control-support model by Karasek and Theorell, we investigated how social and organizational factors influence workers' use of personal protective equipment (PPE). A cross-sectional study was performed among 1420 workers in 203 motor vehicle-repair garages. Multilevel modeling was performed to account for the hierarchical structure of the data. Social and management support correlated positively with PPE use at the worker level. Low demands measured at the garage level and having a health and safety management system at the garage also correlated with active use of PPE. An interaction effect between social support and garage-level demands was observed. In addition to health information and provision of PPE, focusing on social and organizational factors seems necessary to get more workers to comply with the instructions on PPE use.

A Demand-Driven Approach for a Multi-Agent System in Supply Chain Management

NASA Astrophysics Data System (ADS)

Kovalchuk, Yevgeniya; Fasli, Maria

This paper presents the architecture of a multi-agent decision support system for Supply Chain Management (SCM) which has been designed to compete in the TAC SCM game. The behaviour of the system is demand-driven and the agents plan, predict, and react dynamically to changes in the market. The main strength of the system lies in the ability of the Demand agent to predict customer winning bid prices - the highest prices the agent can offer customers and still obtain their orders. This paper investigates the effect of the ability to predict customer order prices on the overall performance of the system. Four strategies are proposed and compared for predicting such prices. The experimental results reveal which strategies are better and show that there is a correlation between the accuracy of the models' predictions and the overall system performance: the more accurate the prediction of customer order prices, the higher the profit.

How do Air Traffic Controllers Use Automation and Tools Differently During High Demand Situations?

NASA Technical Reports Server (NTRS)

Kraut, Joshua M.; Mercer, Joey; Morey, Susan; Homola, Jeffrey; Gomez, Ashley; Prevot, Thomas

2013-01-01

In a human-in-the-loop simulation, two air traffic controllers managed identical airspace while burdened with higher than average workload, and while using advanced tools and automation designed to assist with scheduling aircraft on multiple arrival flows to a single meter fix. This paper compares the strategies employed by each controller, and investigates how the controllers' strategies change while managing their airspace under more normal workload conditions and a higher workload condition. Each controller engaged in different methods of maneuvering aircraft to arrive on schedule, and adapted their strategies to cope with the increased workload in different ways. Based on the conclusions three suggestions are made: that quickly providing air traffic controllers with recommendations and information to assist with maneuvering and scheduling aircraft when burdened with increased workload will improve the air traffic controller's effectiveness, that the tools should adapt to the strategy currently employed by a controller, and that training should emphasize which traffic management strategies are most effective given specific airspace demands.

Research gaps related to forest management and stream sediment in the United States.

PubMed

Anderson, Christopher J; Lockaby, B Graeme

2011-02-01

Water quality from forested landscapes tends to be very high but can deteriorate during and after silvicultural activities. Practices such as forest harvesting, site preparation, road construction/use, and stream crossings have been shown to contribute sediment, nutrients, and other pollutants to adjacent streams. Although advances in forest management accompanied with Best Management Practices (BMPs) have been very effective at reducing water quality impacts from forest operations, projected increases in demand for forest products may result in unintended environmental degradation. Through a review of the pertinent literature, we identified several research gaps related to water yield, aquatic habitat, sediment source and delivery, and BMP effectiveness that should be addressed for streams in the United States to better understand and address the environmental ramifications of current and future levels of timber production. We explored the current understanding of these topics based on relevant literature and the possible implications of increased demand for forest products in the United States.

Co-Adapting Water Demand and Supply to Changing Climate in Agricultural Water Systems, A Case Study in Northern Italy

NASA Astrophysics Data System (ADS)

Giuliani, M.; Li, Y.; Mainardi, M.; Arias Munoz, C.; Castelletti, A.; Gandolfi, C.

2013-12-01

Exponentially growing water demands and increasing uncertainties in the hydrologic cycle due to changes in climate and land use will challenge water resources planning and management in the next decade. Improving agricultural productivity is particularly critical, being this sector the one characterized by the highest water demand. Moreover, to meet projected growth in human population and per-capita food demand, agricultural production will have to significantly increase in the next decades, even though water availability is expected to decrease due to climate change impacts. Agricultural systems are called to adapt their strategies (e.g., changing crop patterns and the corresponding water demand, or maximizing the efficiency in the water supply modifying irrigation scheduling and adopting high efficiency irrigation techniques) in order to re-optimize the use of limited water resources. Although many studies have assessed climate change impacts on agricultural practices and water management, most of them assume few scenarios of water demand or water supply separately, while an analysis of their reciprocal feedbacks is still missing. Moreover, current practices are generally established according to historical agreements and normative constraints and, in the absence of dramatic failures, the shift toward more efficient water management is not easily achievable. In this work, we propose to activate an information loop between farmers and water managers to improve the effectiveness of agricultural water management practices by matching the needs of the farmers with the design of water supply strategies. The proposed approach is tested on a real-world case study, namely the Lake Como serving the Muzza-Bassa Lodigiana irrigation district (Italy). A distributed-parameter, dynamic model of the system allows to simulate crop growth and the final yield over a range of hydro-climatic conditions, irrigation strategies and water-related stresses. The spatial component of the model is managed by a Web GIS to support the visualization of the results and the participation of the stakeholders. The activation of the information loop allows farmers to decide the most profitable crop option on the basis of an expected water supply. Knowing the farmers decisions, the water supply strategy (i.e., the regulation of Lake Como) is then optimized with respect to the actual irrigation demand of the crops. By recursively running this procedure, the farmers and the water manager will exchange information until the system converges to an equilibrium. Our results show that the proposed co-adaptation loop is able to enhance the efficiency of agricultural water management practices and foster crop production. Moreover, the analysis of the co-evolution of the two systems under change allows to estimate the potential for the approach to mitigate climate change adverse impacts.

Collaborative Learning Environments for Management Education.

ERIC Educational Resources Information Center

Seufert, Sabine; Seufert, Andreas

Confronted with the pressure of a rapidly changing environment, organizations demand new skills and capabilities of future managers. These demands and the findings of learning theory necessitate a corresponding change in education of tomorrow's managers. Future management education requires a balance between the imparting of knowledge to the…

Referral interventions from primary to specialist care: a systematic review of international evidence

PubMed Central

Blank, Lindsay; Baxter, Susan; Woods, Helen Buckley; Goyder, Elizabeth; Lee, Andrew; Payne, Nick; Rimmer, Melanie

2014-01-01

Background Demand management defines any method used to monitor, direct, or regulate patient referrals. Strategies have been developed to manage the referral of patients to secondary care, with interventions that target primary care, specialist services, or infrastructure. Aim To review the international evidence on interventions to manage referral from primary to specialist care. Design and setting Systematic review. Method Iterative, systematic searches of published and unpublished sources public health, health management, management, and grey literature databases from health care and other industries were undertaken to identify recent, relevant studies. A narrative synthesis of the data was completed to structure the evidence into groups of similar interventions. Results The searches generated 8327 unique results, of which 140 studies were included. Interventions were grouped into four intervention categories: GP education (n = 50); process change (n = 49); system change (n = 38); and patient-focused (n = 3). It is clear that there is no ‘magic bullet’ to managing demand for secondary care services: although some groups of interventions may have greater potential for development, given the existing evidence that they can be effective in specific contexts. Conclusions To tackle demand management of primary care services, the focus cannot be on primary care alone; a whole-systems approach is needed because the introduction of interventions in primary care is often just the starting point of the referral process. In addition, more research is needed to develop and evaluate interventions that acknowledge the role of the patient in the referral decision. PMID:25452541

Negative core affect and employee silence: How differences in activation, cognitive rumination, and problem-solving demands matter.

PubMed

Madrid, Hector P; Patterson, Malcolm G; Leiva, Pedro I

2015-11-01

Employees can help to improve organizational performance by sharing ideas, suggestions, or concerns about practices, but sometimes they keep silent because of the experience of negative affect. Drawing and expanding on this stream of research, this article builds a theoretical rationale based on core affect and cognitive appraisal theories to describe how differences in affect activation and boundary conditions associated with cognitive rumination and cognitive problem-solving demands can explain employee silence. Results of a diary study conducted with professionals from diverse organizations indicated that within-person low-activated negative core affect increased employee silence when, as an invariant factor, cognitive rumination was high. Furthermore, within-person high-activated negative core affect decreased employee silence when, as an invariant factor, cognitive problem-solving demand was high. Thus, organizations should manage conditions to reduce experiences of low-activated negative core affect because these feelings increase silence in individuals high in rumination. In turn, effective management of experiences of high-activated negative core affect can reduce silence for individuals working under high problem-solving demand situations. (c) 2015 APA, all rights reserved).

The moderating effect of control over work scheduling and overtime on the relationship between workload demands and perceived job risk.

PubMed

Näswall, Katharina; Burt, Christopher D B; Pearce, Megan

2015-01-01

This study investigated the impact of workload demands on perceived job risk using the Job Demand-Control model as a research framework. The primary objective was to test the hypothesis that employee control over work scheduling and overtime would moderate the relationship between workload demands and perceived job risk. Ninety-six participants working in a variety of industries completed measures of workload demands, and of control over work scheduling and overtime, and a measure of perceived job risk. Workload demands predicted higher perceptions of job risk. However, the results also suggest that control over overtime moderated this relationship, where those with the combination of high workload demands and low control over overtime reported higher levels of perceived risk. The results indicate that the JDC model is applicable to safety research. The results suggest that employee control over workload demands is an important variable to consider in terms of managing workplace safety. The present study also points to important areas for future research to explore in order to further understand the connection between demands and safety.

Mental and physical health-related functioning mediates between psychological job demands and sickness absence among nurses.

PubMed

Roelen, Corné; van Rhenen, Willem; Schaufeli, Wilmar; van der Klink, Jac; Magerøy, Nils; Moen, Bente; Bjorvatn, Bjørn; Pallesen, Ståle

2014-08-01

To investigate whether health-related functioning mediates the effect of psychological job demands on sickness absence in nurses. Nurses face high job demands that can have adverse health effects resulting in sickness absence. Prospective cohort study with 1-year follow-up. Data for 2964 Norwegian nurses were collected in the period 2008-2010. At baseline, psychological job demands were measured with the Demand-Control-Support Questionnaire. Health-related functioning was assessed by the Mental Composite Score and the Physical Composite Score of the SF-12 Health Survey (2nd version). Sickness absence (no = 0, yes = 1) was self-reported at 1-year follow-up. Interaction and mediation analyses were conducted stratified by tenure (<1-year, 1-2 years, 3-6 years, >6 years) as a registered nurse. A total of 2180 nurses (74%) with complete data were eligible for analysis. A significant three-way interaction between job demands, control and support was found in newly licensed nurses (tenure <1-year). Baseline psychological job demands were positively associated with sickness absence at 1-year follow-up. This association was substantially weakened when Mental Composite Score and Physical Composite Score were introduced as mediator variables, indicating a partial mediation effect that was particularly pronounced in newly licensed nurses. Psychological job demands did not modify the effect of health-related functioning on sickness absence. Both mental and physical health-related functioning mediated between psychological job demands and sickness absence. Nurse managers should pay attention to health-related functioning, because poor health-related functioning may predict sickness absence, especially in newly licensed nurses. © 2013 John Wiley & Sons Ltd.

Classism and Quality.

ERIC Educational Resources Information Center

Carothers, Robert L.; Sevigny, Mary Lou

1993-01-01

Introduction of the Total Quality Management approach in college administration can create a new awareness of class distinctions among employees and a new demand for respect, dignity, and equity, all essential characteristics of an effective organization. Such employee empowerment has been effective at the University of Rhode Island. (Author/MSE)

Measuring the effectiveness of ramp metering strategies on I-12.

DOT National Transportation Integrated Search

2013-10-01

Ramp metering is one of the successful traffic control strategies in the area of active traffic and demand management. This study evaluates the : effectiveness of a fixed time ramp metering control on the day to day operation of traffic over two segm...

Rolled-crimped winter rye cover effects on hand-weeding times and fruit yield and quality of cucurbits

USDA-ARS?s Scientific Manuscript database

Fruit and vegetables produced without pesticides are in demand by some segments of society. However, weeds often are deleterious in such crops, and managing them without herbicides is difficult. Stale seedbeds and rolled-crimped winter rye cover crops are non-chemical methods that may help manage we...

An Examination of College and University Athletic Directors' Perception of Management Models Utilized to Operate Intercollegiate Athletic Arenas

ERIC Educational Resources Information Center

Palmero, Mauro R.

2010-01-01

Demands for enhanced accountability and effectiveness in higher education have also affected athletic departments, requiring a more cost-efficient managerial approach to the administration of athletic facilities, especially arenas. The purpose of this study was to examine athletic directors' perceptions towards the arena management models they…

Effects of soil disturbance on the fundamental, sustainable productivity of managed forests

Treesearch

Robert F. Powers

2002-01-01

Environmental policies in the United States and abroad are reducing timber harvests while wood demand is mounting. Reduced harvesting on public lands means that privately owned lands will be managed with greater intensity in the United States and that wood will be imported from other nations lacking strong environmental safeguards. It is imperative, therefore, that...

Business Education in Russia: Characteristics of the New Generation of Businesspeople

ERIC Educational Resources Information Center

Shabanova, M. A.

2010-01-01

With the end of the period of initial capital accumulation, characterized by its typical tumultuous repartition of property and free-for-all, the task of "effective" management of acquired assets has come to be of paramount importance. There is an increasing demand for highly qualified top-level and mid-level managers, giving impetus to…

Teacher Progress Monitoring of Instructional and Behavioral Management Practices: An Evidence-Based Approach to Improving Classroom Practices

ERIC Educational Resources Information Center

Reddy, Linda A.; Dudek, Christopher M.

2014-01-01

In the era of teacher evaluation and effectiveness, assessment tools that identify and monitor educators' instruction and behavioral management practices are in high demand. The Classroom Strategies Scale (CSS) Observer Form is a multidimensional teacher progress monitoring tool designed to assess teachers' usage of instructional and behavioral…

China: Management and Finance of Higher Education. A World Bank Country Study.

ERIC Educational Resources Information Center

World Bank, Washington, DC.

Key issues in higher education management and finance in China until the end of the century are examined, along with the effect of recent education reform. Attention is directed to: the government's plan for long-term expansion of higher education posed as three alternative targets for enrollment growth; estimated demand for and supply of…

Application of SWMM in Water Resources Management: A Community Scale Study

NASA Astrophysics Data System (ADS)

Li, Yuan-Hua; Tung, Ching-Pin

2015-04-01

Under the impacts of climate change, water resource management faces a serious challenge. Due to extremely events, the water supply system is hard to maintain stable water supply. In order to decrease the pressure of centralized water supply system, the water demand management should be strengthened. The storm water management model (SWMM) is widely used to simulate surface runoff, and it has been improved to have the ability of continuous simulation. In this study, storm water management model (SWMM) is applied to simulate surface runoff and integrated into the framework of water resource management for a rural community scale. In a rural community, the surface runoff may be collected and treated by wetlands for later uses. The reclaimed water from wetlands may become a new water resource for non-contact domestic water uses, or be reused to meet irrigating water demand. Thus, the water demand from the centralized system can be reduced, and the water supply system may have lower risk under the climate change. On the other hand, SWMM can simulate the measures of low impact development (LID), such as bio-retention cell, green roof, rain barrel etc. The decentralized measures, LID, may not only reduce the runoff and delay the peak flow, and but also provide the service of water supply. In this study, LID is applied to water resource management of a rural community, and combined with the centralized water supply system. The results show the application of SWMM to water resources management in a community scale study. Besides, the effectiveness of LID on water supply is also evaluated.

Wildfire effects on hiking and biking demand in New Mexico: a travel cost study.

PubMed

Hesseln, Hayley; Loomis, John B; González-Cabán, Armando; Alexander, Susan

2003-12-01

We use a travel cost model to test the effects of wild and prescribed fire on visitation by hikers and mountain bikers in New Mexico. Our results indicate that net benefits for mountain bikers is $150 per trip and that they take an average of 6.2 trips per year. Hikers take 2.8 trips per year with individual net benefits per trip of $130. Both hikers' and mountain bikers' demand functions react adversely to prescribed burning. Net benefits for both groups fall as areas recover from prescribed burns. Because both visitation and annual recreation benefits decrease to these two types of visitors, this gives rise to multiple use costs associated with prescribed burning. With respect to wildfire, hikers and mountain bikers both exhibit decreased visitation as areas recover from wildfires, however, only hikers indicate an increase in per trip net benefits. Bikers' demand effectively drops to zero. These results differ from previous findings in the literature and have implications for efficient implementation of the National Fire Plan and whether prescribed burning is a cost effective tool for multiple use management of National Forests. Specifically, that fire and recreation managers cannot expect recreation users to react similarly to fire across recreation activities, or different geographic regions. What is cost effective in one region may not be so in another.

A future Demand Side Management (DSM) opportunity for utility as variable renewable penetrate scale up using agriculture.

NASA Astrophysics Data System (ADS)

Ines, A.; Bhattacharjee, A.; Modi, V.; Robertson, A. W.; Lall, U.; Kocaman Ayse, S.; Chaudhary, S.; Kumar, A.; Ganapathy, A.; Kumar, A.; Mishra, V.

2015-12-01

Energy demand management, also known as demand side management (DSM), is the modification of consumer demand for energy through various methods such as smart metering, incentive based schemes, payments for turning off loads or rescheduling loads. Usually, the goal of demand side management is to encourage the consumer to use less power during periods of peak demand, or to move the time of energy use to off-peak times. Peak demand management does not necessarily decrease total energy consumption, but could be expected to reduce the need for investments in networks and/or power plants for meeting peak demands. Electricity use can vary dramatically on short and medium time frames, and the pricing system may not reflect the instantaneous cost as additional higher-cost that are brought on-line. In addition, the capacity or willingness of electricity consumers to adjust to prices by altering elasticity of demand may be low, particularly over short time frames. In the scenario of Indian grid setup, the retail customers do not follow real-time pricing and it is difficult to incentivize the utility companies for continuing the peak demand supply. A question for the future is how deeper penetration of renewable will be handled? This is a challenging problem since one has to deal with high variability, while managing loss of load probabilities. In the case of managing the peak demand using agriculture, in the future as smart metering matures with automatic turn on/off for a pump, it will become possible to provide an ensured amount of water or energy to the farmer while keeping the grid energized for 24 hours. Supply scenarios will include the possibility of much larger penetration of solar and wind into the grid. While, in absolute terms these sources are small contributors, their role will inevitably grow but DSM using agriculture could help reduce the capital cost. The other option is of advancing or delaying pump operating cycle even by several hours, will still ensure soil moisture requirements met while, balancing the overall system load with generation, reducing critical power mismatches. Through this presentation the author will describe different techniques and results from field experiments in India.

Adaptive heat pump and battery storage demand side energy management

NASA Astrophysics Data System (ADS)

Sobieczky, Florian; Lettner, Christian; Natschläger, Thomas; Traxler, Patrick

2017-11-01

An adaptive linear model predictive control strategy is introduced for the problem of demand side energy management, involving a photovoltaic device, a battery, and a heat pump. Moreover, the heating influence of solar radiation via the glass house effect is considered. Global sunlight radiation intensity and the outside temperature are updated by weather forecast data. The identification is carried out after adapting to a time frame witch sufficiently homogeneous weather. In this way, in spite of the linearity an increase in precision and cost reduction of up to 46% is achieved. It is validated for an open and closed loop version of the MPC problem using real data of the ambient temperature and the global radiation.

A Masters Programme in Telecommunications Management--Demand-Based Curriculum Design

ERIC Educational Resources Information Center

Gharaibeh, Khaled M.; Kaylani, Hazem; Murphy, Noel; Brennan, Conor; Itradat, Awni; Al-Bataineh, Mohammed; Aloqlah, Mohammed; Salhieh, Loay; Altarazi, Safwan; Rawashdeh, Nathir; del Carmen Bas Cerdá, María; Conchado Peiró, Andrea; Al-Zoubi, Asem; Harb, Bassam; Bany Salameh, Haythem

2015-01-01

This paper presents a curriculum design approach for a Masters Programme in Telecommunications Management based on demand data obtained from surveying the needs of potential students of the proposed programme. Through online surveys disseminated at telecom companies in Jordan, it was possible to measure the demand for such a programme and to…

Impact of transportation demand management (TDM) elements on managed lanes toll prices.

DOT National Transportation Integrated Search

2015-03-01

This research involved a simulation comparing three days of actual traffic data for the I-95 Express : Lanes and General Purpose Lanes in Miami, Florida to a hypothetical scenario where all transportation : demand management (TDM) activities and toll...

A hybrid inventory management system respondingto regular demand and surge demand

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

Mohammad S. Roni; Mingzhou Jin; Sandra D. Eksioglu

2014-06-01

This paper proposes a hybrid policy for a stochastic inventory system facing regular demand and surge demand. The combination of two different demand patterns can be observed in many areas, such as healthcare inventory and humanitarian supply chain management. The surge demand has a lower arrival rate but higher demand volume per arrival. The solution approach proposed in this paper incorporates the level crossing method and mixed integer programming technique to optimize the hybrid inventory policy with both regular orders and emergency orders. The level crossing method is applied to obtain the equilibrium distributions of inventory levels under a givenmore » policy. The model is further transformed into a mixed integer program to identify an optimal hybrid policy. A sensitivity analysis is conducted to investigate the impact of parameters on the optimal inventory policy and minimum cost. Numerical results clearly show the benefit of using the proposed hybrid inventory model. The model and solution approach could help healthcare providers or humanitarian logistics providers in managing their emergency supplies in responding to surge demands.« less

Aging Water Infrastructure and Nutrient Control at WWTPs: U.S. Environmental Protection Agency Research Program

EPA Science Inventory

What are… the effects of major influencing factors (climate change, population dynamics, etc.) on future system demands? the innovative technologies that can cost-effectively improve performance and extend the life of existing systems? the new designs and management approaches...

Exchanging clinical knowledge via Internet.

PubMed

Buchan, I E; Hanka, R

1997-11-01

The need for effective and efficient exchange of clinical knowledge is increasing. Paper based methods for managing clinical knowledge are not meeting the demand for knowledge and this has undoubtedly contributed to the widely reported failures of clinical guidelines. Internet affords both opportunities and dangers for clinical knowledge. Systems such as Wax have demonstrated the importance of intuitive structure in the management of knowledge. We report on a new initiative for the global management of clinical knowledge.

Share the road campaign research study

DOT National Transportation Integrated Search

2011-01-01

SFpark is a demonstration of a new approach to parking management that will evaluate the effectiveness of demand-responsive pricing and real-time information on parking availability for reducing congestion and greenhouse gas emissions and provide oth...

Management of blood shortages in a tertiary care academic medical center: the Yale-New Haven Hospital frozen blood reserve.

PubMed

Erickson, Michelle L; Champion, Melanie H; Klein, Roger; Ross, Rebecca L; Neal, Zena M; Snyder, Edward L

2008-10-01

Threats to national and local blood supplies in America mandate development of an effective blood management system for emergency preparedness and efficient blood inventory management. Seasonal or acute blood shortages could be compounded by the unavoidable distribution inefficiencies of the blood pipeline during an emergency. The Yale-New Haven Hospital (YNHH) Blood Bank has developed a comprehensive emergency blood management plan, which includes maintenance of a tactical, limited frozen blood supply. A computer spreadsheet-based disaster prediction model has been designed to guide the use of the frozen reserve by testing various emergency scenarios. The frozen blood reserve can likely support normal hospital red blood cell (RBC) demands during typical (3-4 days) seasonal shortages, provide a reduced supply for up to 10 days, or meet an unexpected transient increased RBC demand without requiring intensive support from the regional blood center. However, the frozen blood supply is not designed to meet the massive transfusion demand associated with extreme or sustained disasters. Rather, it serves as a short-term bridge-over supply until blood center support can be reestablished. We review the reasons for initiating a blood management plan and describe how YNHH has implemented and sustains a frozen blood reserve as part of a comprehensive disaster management plan. Despite the operational complexity, the benefits of self-sufficiency, the ability to support routine hospital requirements, and the security of having a backup supply justify the expense and difficulty of maintaining a frozen blood reserve.

Regional Analysis of Energy, Water, Land and Climate Interactions

NASA Astrophysics Data System (ADS)

Tidwell, V. C.; Averyt, K.; Harriss, R. C.; Hibbard, K. A.; Newmark, R. L.; Rose, S. K.; Shevliakova, E.; Wilson, T.

2014-12-01

Energy, water, and land systems interact in many ways and are impacted by management and climate change. These systems and their interactions often differ in significant ways from region-to-region. To explore the coupled energy-water-land system and its relation to climate change and management a simple conceptual model of demand, endowment and technology (DET) is proposed. A consistent and comparable analysis framework is needed as climate change and resource management practices have the potential to impact each DET element, resource, and region differently. These linkages are further complicated by policy and trade agreements where endowments of one region are used to meet demands in another. This paper reviews the unique DET characteristics of land, energy and water resources across the United States. Analyses are conducted according to the eight geographic regions defined in the 2014 National Climate Assessment. Evident from the analyses are regional differences in resources endowments in land (strong East-West gradient in forest, cropland and desert), water (similar East-West gradient), and energy. Demands likewise vary regionally reflecting differences in population density and endowment (e.g., higher water use in West reflecting insufficient precipitation to support dryland farming). The effect of technology and policy are particularly evident in differences in the energy portfolios across the eight regions. Integrated analyses that account for the various spatial and temporal differences in regional energy, water and land systems are critical to informing effective policy requirements for future energy, climate and resource management. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

Information flow in the DAMA project beyond database managers: information flow managers

NASA Astrophysics Data System (ADS)

Russell, Lucian; Wolfson, Ouri; Yu, Clement

1996-12-01

To meet the demands of commercial data traffic on the information highway, a new look at managing data is necessary. One projected activity, sharing of point of sale information, is being considered in the Demand Activated Manufacturing Project (DAMA) of the American Textile Partnership (AMTEX) project. A scenario is examined in which 100 000 retail outlets communicate over a period of days. They provide the latest estimate of demand for sewn products across a chain of 26 000 suppliers through the use of bill of materials explosions at four levels of detail. Enabling this communication requires an approach that shares common features with both workflows and database management. A new paradigm, the information flow manager, is developed to handle this situation, including the case where members of the supply chain fail to communicate and go out of business. Techniques for approximation are introduced so as to keep estimates of demand as current as possible.

Reconstructing European forest management from 1600 to 2010

NASA Astrophysics Data System (ADS)

McGrath, M. J.; Luyssaert, S.; Meyfroidt, P.; Kaplan, J. O.; Buergi, M.; Chen, Y.; Erb, K.; Gimmi, U.; McInerney, D.; Naudts, K.; Otto, J.; Pasztor, F.; Ryder, J.; Schelhaas, M.-J.; Valade, A.

2015-04-01

European forest use for fuel, timber and food dates back to pre-Roman times. Century-scale ecological processes and their legacy effects require accounting for forest management when studying today's forest carbon sink. Forest management reconstructions that are used to drive land surface models are one way to quantify the impact of both historical and today's large scale application of forest management on today's forest-related carbon sink and surface climate. In this study we reconstruct European forest management from 1600 to 2010 making use of diverse approaches, data sources and assumptions. Between 1600 and 1828, a demand-supply approach was used in which wood supply was reconstructed based on estimates of historical annual wood increment and land cover reconstructions. For the same period demand estimates accounted for the fuelwood needed in households, wood used in food processing, charcoal used in metal smelting and salt production, timber for construction and population estimates. Comparing estimated demand and supply resulted in a spatially explicit reconstruction of the share of forests under coppice, high stand management and forest left unmanaged. For the reconstruction between 1829 and 2010 a supply-driven back-casting method was used. The method used age reconstructions from the years 1950 to 2010 as its starting point. Our reconstruction reproduces the most important changes in forest management between 1600 and 2010: (1) an increase of 593 000 km2 in conifers at the expense of deciduous forest (decreasing by 538 000 km2), (2) a 612 000 km2 decrease in unmanaged forest, (3) a 152 000 km2 decrease in coppice management, (4) a 818 000 km2 increase in high stand management, and (5) the rise and fall of litter raking which at its peak in 1853 removed 50 Tg dry litter per year.

The Influence of Climate Change on Irrigated Water Demands and Surface Water Availability of the Yellow River Basin

NASA Astrophysics Data System (ADS)

Troy, T. J.; Zhang, J.

2017-12-01

Balancing irrigated water demands and surface water availability is critical for sustainable water resources management. In China, irrigation is the largest water user, and there is concern that irrigated water demands will be affected by climate change. If the relationship between climate change, irrigated water demands and surface water availability is quantified, then effective measures can be developed to maintain food production while ensuring water sustainability. This research focuses on the Yellow River, the second longest in China, and analyzes the impact of historical and projected climate change on agricultural water demands and surface water availability. Corn and wheat are selected as representative crops to estimate the effect of temperature and precipitin changes on irrigated water demands. The VIC model is used to simulate daily streamflow throughout the Yellow River, providing estimates of surface water availability. Overall, results indicate the irrigated water need and surface water availability are impacted by climate change, with spatially varying impacts depending on spatial patterns of climate trends and river network position. This research provides insight into water security in the Yellow River basin, indicating where water efficiency measures are needed and where they are not.

Improving DLA Supply Chain Agility: Lead Times, Order Quantities, and Information Flow

DTIC Science & Technology

2015-01-01

effective inventory management. The dynamism of supply appears to be less than demand, with major problems from supply-side vola- tility not apparent...presents a challenge for efficient and effective inventory management. The dynamism of supply appears to be much less, with major problems from...a vehicle safety problem that newly appears. Or the lead time for the customer change of plan may be less than the lead time to procure the item. So

Adaptation of water resource systems to an uncertain future

NASA Astrophysics Data System (ADS)

Walsh, C. L.; Blenkinsop, S.; Fowler, H. J.; Burton, A.; Dawson, R. J.; Glenis, V.; Manning, L. J.; Kilsby, C. G.

2015-09-01

Globally, water resources management faces significant challenges from changing climate and growing populations. At local scales, the information provided by climate models is insufficient to support the water sector in making future adaptation decisions. Furthermore, projections of change in local water resources are wrought with uncertainties surrounding natural variability, future greenhouse gas emissions, model structure, population growth and water consumption habits. To analyse the magnitude of these uncertainties, and their implications for local scale water resource planning, we present a top-down approach for testing climate change adaptation options using probabilistic climate scenarios and demand projections. An integrated modelling framework is developed which implements a new, gridded spatial weather generator, coupled with a rainfall-runoff model and water resource management simulation model. We use this to provide projections of the number of days, and associated uncertainty that will require implementation of demand saving measures such as hose pipe bans and drought orders. Results, which are demonstrated for the Thames basin, UK, indicate existing water supplies are sensitive to a changing climate and an increasing population, and that the frequency of severe demand saving measures are projected to increase. Considering both climate projections and population growth the median number of drought order occurrences may increase five-fold. The effectiveness of a range of demand management and supply options have been tested and shown to provide significant benefits in terms of reducing the number of demand saving days. We found that increased supply arising from various adaptation options may compensate for increasingly variable flows; however, without reductions in overall demand for water resources such options will be insufficient on their own to adapt to uncertainties in the projected changes in climate and population. For example, a 30 % reduction in overall demand by 2050 has a greater impact on reducing the frequency of drought orders than any of the individual or combinations of supply options; hence a portfolio of measures are required.

City of San Antonio, Texas Better Buildings Program

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

Meyer, Liza C.; Hammer, Mary C.

2014-06-30

The San Antonio Better Buildings Program is a unified single-point-of-service energy efficiency delivery mechanism targeting residential, commercial, institutional, industrial and public buildings. This comprehensive and replicable energy efficiency program is designed to be an effective demand side management initiative to provide a seamless process for program participants to have turn-key access to expert analysis, support and incentives to improve the performance of their in-place energy using systems, while reducing electrical energy use and demand.

Decision Support for the Capacity Management of Bronchoscopy Devices: Optimizing the Cost-Efficient Mix of Reusable and Single-Use Devices Through Mathematical Modeling.

PubMed

Edenharter, Günther M; Gartner, Daniel; Pförringer, Dominik

2017-06-01

Increasing costs of material resources challenge hospitals to stay profitable. Particularly in anesthesia departments and intensive care units, bronchoscopes are used for various indications. Inefficient management of single- and multiple-use systems can influence the hospitals' material costs substantially. Using mathematical modeling, we developed a strategic decision support tool to determine the optimum mix of disposable and reusable bronchoscopy devices in the setting of an intensive care unit. A mathematical model with the objective to minimize costs in relation to demand constraints for bronchoscopy devices was formulated. The stochastic model decides whether single-use, multi-use, or a strategically chosen mix of both device types should be used. A decision support tool was developed in which parameters for uncertain demand such as mean, standard deviation, and a reliability parameter can be inserted. Furthermore, reprocessing costs per procedure, procurement, and maintenance costs for devices can be parameterized. Our experiments show for which demand pattern and reliability measure, it is efficient to only use reusable or disposable devices and under which circumstances the combination of both device types is beneficial. To determine the optimum mix of single-use and reusable bronchoscopy devices effectively and efficiently, managers can enter their hospital-specific parameters such as demand and prices into the decision support tool.The software can be downloaded at: https://github.com/drdanielgartner/bronchomix/.

Mass casualty events: blood transfusion emergency preparedness across the continuum of care.

PubMed

Doughty, Heidi; Glasgow, Simon; Kristoffersen, Einar

2016-04-01

Transfusion support is a key enabler to the response to mass casualty events (MCEs). Transfusion demand and capability planning should be an integrated part of the medical planning process for emergency system preparedness. Historical reviews have recently supported demand planning for MCEs and mass gatherings; however, computer modeling offers greater insights for resource management. The challenge remains balancing demand and supply especially the demand for universal components such as group O red blood cells. The current prehospital and hospital capability has benefited from investment in the management of massive hemorrhage. The management of massive hemorrhage should address both hemorrhage control and hemostatic support. Labile blood components cannot be stockpiled and a large surge in demand is a challenge for transfusion providers. The use of blood components may need to be triaged and demand managed. Two contrasting models of transfusion planning for MCEs are described. Both illustrate an integrated approach to preparedness where blood transfusion services work closely with health care providers and the donor community. Preparedness includes appropriate stock management and resupply from other centers. However, the introduction of alternative transfusion products, transfusion triage, and the greater use of an emergency donor panel to provide whole blood may permit greater resilience. © 2016 AABB.

Handling Uncertain Gross Margin and Water Demand in Agricultural Water Resources Management using Robust Optimization

NASA Astrophysics Data System (ADS)

Chaerani, D.; Lesmana, E.; Tressiana, N.

2018-03-01

In this paper, an application of Robust Optimization in agricultural water resource management problem under gross margin and water demand uncertainty is presented. Water resource management is a series of activities that includes planning, developing, distributing and managing the use of water resource optimally. Water resource management for agriculture can be one of the efforts to optimize the benefits of agricultural output. The objective function of agricultural water resource management problem is to maximizing total benefits by water allocation to agricultural areas covered by the irrigation network in planning horizon. Due to gross margin and water demand uncertainty, we assume that the uncertain data lies within ellipsoidal uncertainty set. We employ robust counterpart methodology to get the robust optimal solution.

Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

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

Gagnon, Pieter J.; Govindarajan, Anand; Bird, Lori A.

We study the synergies between behind-the-meter solar and storage in reducing commercial-customer demand charges. This follows two previous studies that examined demand charge savings for stand-alone solar in both the residential and commercial sectors. In this study we show that solar and storage show consistent synergies for demand charge management, that the magnitude of reductions are highly customer-specific, and that the magnitude of savings is influenced by the design of the electricity tariff.

Demand effects on positive response distortion by police officer applicants on the Revised NEO Personality Inventory.

PubMed

Detrick, Paul; Chibnall, John T; Call, Cynthia

2010-09-01

Understanding and detecting response distortion is important in the high-demand circumstances of personnel selection. In this article, we describe positive response distortion on the Revised NEO Personality Inventory (NEO PI-R; Costa & McCrae, 1992) among police officer applicants under high and low demand conditions. Positive response distortion primarily reflected denial/minimization of Neuroticism and accentuation of traits associated with moralistic bias (Agreeableness and Conscientiousness). Validity of the NEO PI-R research validity scale, Positive Presentation Management, was weakly supported with respect to the Neuroticism domain only. Results will be useful in interpreting personality inventory results in the police personnel selection process.

Solar heating and the electric utilities

NASA Astrophysics Data System (ADS)

Maidique, M. A.; Woo, B.

1980-05-01

The article considers the effect of widespread use of solar thermal systems on the role of electric utilities, emphasizing the foreseen short term economic problems. While the average electricity demand will be reduced, infrequent high demand peaks could occur when on nights and certain days, solar users with inadequate storage capacity are forced to depend upon conventional energy sources. Since utility costs are closely related to changes in peak demands, the modification of electricity rate structures as a load management technique is discussed. Some advantages of wide solar energy application for electric utilities are cited including the possibility of their key role in the development of solar heating.

The Implementation of Environmental Management towards Sustainable Universities and Education for Sustainable Development as an Ethical Imperative

ERIC Educational Resources Information Center

Nicolaides, Angelo

2006-01-01

Purpose: To show that the practices, processes and resources for the management of the university environment should be aligned to meet the ever-growing demands of sustainability and its motivations should be clearly spelt out to all stakeholders. Universities should also strive to become leaders in the development of effective environmental…

Managed wildfire effects on forest resilience and water in the Sierra Nevada

Treesearch

Gabrielle Boisramé; Sally Thompson; Brandon Collins; Scott Stephens

2017-01-01

Fire suppression in many dry forest types has left a legacy of dense, homogeneous forests. Such landscapes have high water demands and fuel loads, and when burned can result in catastrophically large fires. These characteristics are undesirable in the face of projected warming and drying in the western US. Alternative forest and fire treatments based on managed...

A Combined 16S Microbiome and Culture-Based Analysis of Foodborne Pathogens Throughout the Entire Lifecycle of A Single Pastured-Raised Broiler Flock

USDA-ARS?s Scientific Manuscript database

While conventionally grown poultry continues to dominate the U.S. poultry industry, there is an increasing demand for locally-grown, “all natural” alternatives. Unfortunately, limited research has been done on this type of poultry management practice, and thus many of these management effects on th...

Effectiveness of a Science Agricultural Summer Experience (SASE) in Recruiting Students to Natural Resources Management

ERIC Educational Resources Information Center

Martinez, Edward; Lindline, Jennifer; Petronis, Michael S.; Pilotti, Maura

2012-01-01

The Bureau of Labor Statistics projects an increase in Natural Resource Management (NRM) jobs within the next 10 years due to baby-boomer retirements and a 12% increase in demand for these occupations. Despite this trend, college enrollment in NRM disciplines has declined. Even more critical is the fact that the soon-to-be-majority Hispanic…

Where Academia Meets Management: A Model for the Effective Development of Quality Learning Materials Using New Technologies.

ERIC Educational Resources Information Center

Kenny, John

This article explores the perennial tension between the demands of management for quality projects that can be used to attract new markets and students and the traditional scholarly approach to learning. Universities are unique environments compared to industry settings. They are unique in that the responsibility for the quality of the teaching…

Demand forecast model based on CRM

NASA Astrophysics Data System (ADS)

Cai, Yuancui; Chen, Lichao

2006-11-01

With interiorizing day by day management thought that regarding customer as the centre, forecasting customer demand becomes more and more important. In the demand forecast of customer relationship management, the traditional forecast methods have very great limitation because much uncertainty of the demand, these all require new modeling to meet the demands of development. In this paper, the notion is that forecasting the demand according to characteristics of the potential customer, then modeling by it. The model first depicts customer adopting uniform multiple indexes. Secondly, the model acquires characteristic customers on the basis of data warehouse and the technology of data mining. The last, there get the most similar characteristic customer by their comparing and forecast the demands of new customer by the most similar characteristic customer.

The Differential Effects of Financial Aid on Degree Completion by Gender

ERIC Educational Resources Information Center

Gross, Jacob P. K.; Berry, Matthew; Reynolds, Pauline

2015-01-01

Financial aid and student success are interrelated and essential components of strategic enrollment management. From an economic perspective, by reducing the price students pay, financial aid affects student demand for education. However, financial aid also has nonmonetary effects. For example, students receiving institutional scholarships may…

Trends in Managed Care Cost Containment: An Analysis of the Managed Care Backlash.

PubMed

Dugan, Jerome

2015-12-01

Consumer dissatisfaction with the quality and limitations of managed health care led to rapid disenrollment from managed care plans and demands for regulation between 1998 and 2003. Managed care organizations, particularly health maintenance organizations (HMOs), now face quality and coverage mandates that restrict them from using their most aggressive strategies for managing costs. This paper examines the effect of this backlash on managed care's ability to contain costs among short-term, non-federal hospitals between 1998 and 2008. The results show that the impact of increased HMO penetration on inpatient costs reversed over the study period, but HMOs were still effective at containing outpatient costs. These findings have important policy implications for understanding the continuing role that HMOs should play in cost containment policy and for understanding how effective the latest wave of cost containment institutions may perform in heavily regulated markets. Copyright © 2014 John Wiley & Sons, Ltd.

Effects of operating practices on commercial driver alertness

DOT National Transportation Integrated Search

2011-08-01

This report presents the test plan for collecting and analyzing data dealing with travel demand management (TDM) activities for the Atlanta Congestion Reduction Demonstration (CRD) under the United States Department of Transportation (U.S. DOT) Urban...

Coordination of a supply chain with consumer return under vendor-managed consignment inventory and stochastic demand

NASA Astrophysics Data System (ADS)

Wu, Zhihui; Chen, Dongyan; Yu, Hui

2016-07-01

In this paper, the problem of the coordination policy is investigated for vendor-managed consignment inventory supply chain subject to consumer return. Here, the market demand is assumed to be affected by promotional effort and consumer return policy. The optimal consignment inventory and the optimal promotional effort level are proposed under the decentralized and centralized decisions. Based on the optimal decision conditions, the markdown allowance-promotional cost-sharing contract is investigated to coordinate the supply chain. Subsequently, the comparison between the two extreme policies shows that full-refund policy dominates the no-return policy when the returning cost and the positive effect of return policy are satisfied certain conditions. Finally, a numerical example is provided to illustrate the impacts of consumer return policy on the coordination contract and optimal profit as well as the effectiveness of the proposed supply chain decision.

Public hospital bed crisis: too few or too misused?

PubMed

Scott, Ian A

2010-08-01

* Increasing demand on public hospital beds has led to what many see as a hospital bed crisis requiring substantial increases in bed numbers. By 2050, if current bed use trends persist and as the numbers of frail older patients rise exponentially, a 62% increase in hospital beds will be required to meet expected demand, at a cost almost equal to the entire current Australian healthcare budget. * This article provides an overview of the effectiveness of different strategies for reducing hospital demand that may be viewed as primarily (although not exclusively) targeting the hospital sector - increasing capacity and throughput and reducing readmissions - or the non-hospital sector - facilitating early discharge or reducing presentations and admissions to hospital. Evidence of effectiveness was retrieved from a literature search of randomised trials and observational studies using broad search terms. * The principal findings were as follows: (1) within the hospital sector, throughput could be substantially improved by outsourcing public hospital clinical services to the private sector, undertaking whole-of-hospital reform of care processes and patient flow that address both access and exit block, separating acute from elective beds and services, increasing rates of day-only or short stay admissions, and curtailing ineffective or marginally effective clinical interventions; (2) in regards to the non-hospital sector, potentially the biggest gains in reducing hospital demand will come from improved access to residential care, rehabilitation services, and domiciliary support as patients awaiting such services currently account for 70% of acute hospital bed-days. More widespread use of acute care and advance care planning within residential care facilities and population-based chronic disease management programs can also assist. * This overview concludes that, in reducing hospital bed demand, clinical process redesign within hospitals and capacity enhancement of non-hospital care services and chronic disease management programs are effective strategies that should be considered before investing heavily in creating additional hospital beds devoid of any critical reappraisal of current models of care.

Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system

NASA Astrophysics Data System (ADS)

Wu, Qi

2010-03-01

Demand forecasts play a crucial role in supply chain management. The future demand for a certain product is the basis for the respective replenishment systems. Aiming at demand series with small samples, seasonal character, nonlinearity, randomicity and fuzziness, the existing support vector kernel does not approach the random curve of the sales time series in the space (quadratic continuous integral space). In this paper, we present a hybrid intelligent system combining the wavelet kernel support vector machine and particle swarm optimization for demand forecasting. The results of application in car sale series forecasting show that the forecasting approach based on the hybrid PSOWv-SVM model is effective and feasible, the comparison between the method proposed in this paper and other ones is also given, which proves that this method is, for the discussed example, better than hybrid PSOv-SVM and other traditional methods.

Does workplace social capital buffer the effects of job stress? A cross-sectional, multilevel analysis of cigarette smoking among U.S. manufacturing workers

PubMed Central

Sapp, Amy L.; Kawachi, Ichiro; Sorensen, Glorian; LaMontagne, Anthony D.; Subramanian, S.V.

2010-01-01

Objective To investigate whether workplace social capital buffers the association between job stress and smoking status. Methods As part of the Harvard Cancer Prevention Project’s Healthy Directions-Small Business Study, interviewer-administered questionnaires were completed by 1740 workers and 288 managers in 26 manufacturing firms (84% and 85% response). Social capital was assessed by multiple items measured at the individual-level among workers, and contextual-level among managers. Job stress was operationalized by the demand-control model. Multilevel logistic regression was used to estimate associations between job stressors and smoking, and test for effect modification by social capital measures. Results Workplace social capital (both summary measures) buffered associations between high job demands and smoking. One compositional item—worker trust in managers—buffered associations between job strain and smoking. Conclusion Workplace social capital may modify the effects of psychosocial working conditions on health behaviors. PMID:20595910

Nitrogen dynamics in managed boreal forests: Recent advances and future research directions.

PubMed

Sponseller, Ryan A; Gundale, Michael J; Futter, Martyn; Ring, Eva; Nordin, Annika; Näsholm, Torgny; Laudon, Hjalmar

2016-02-01

Nitrogen (N) availability plays multiple roles in the boreal landscape, as a limiting nutrient to forest growth, determinant of terrestrial biodiversity, and agent of eutrophication in aquatic ecosystems. We review existing research on forest N dynamics in northern landscapes and address the effects of management and environmental change on internal cycling and export. Current research foci include resolving the nutritional importance of different N forms to trees and establishing how tree-mycorrhizal relationships influence N limitation. In addition, understanding how forest responses to external N inputs are mediated by above- and belowground ecosystem compartments remains an important challenge. Finally, forestry generates a mosaic of successional patches in managed forest landscapes, with differing levels of N input, biological demand, and hydrological loss. The balance among these processes influences the temporal patterns of stream water chemistry and the long-term viability of forest growth. Ultimately, managing forests to keep pace with increasing demands for biomass production, while minimizing environmental degradation, will require multi-scale and interdisciplinary perspectives on landscape N dynamics.

Culture Matters: The Pivotal Role of Culture for Women’s Careers in Academic Medicine

PubMed Central

Speck, Rebecca M.; Dupuis Sammel, Mary; Scott, Patricia; Conant, Emily F.; Tuton, Lucy Wolf; Abbuhl, Stephanie B.; Grisso, Jeane Ann

2014-01-01

Purpose Women in academic medicine are not achieving the same career advancement as men, and face unique challenges in managing work and family alongside intense work demands. The purpose of this study was to investigate how a supportive department/division culture buffered women from the impact of work demands on work-to-family conflict. Method As part of a larger intervention trial, the authors collected baseline survey data from 133 women assistant professors at the University of Pennsylvania Perelman School of Medicine in 2010. Validated measures of work demands, work-to-family conflict, and a department/division culture were employed. Pearson correlations and general linear mixed modeling were used to analyze the data. Authors investigated whether work culture moderated the association between work demands and work-to-family conflict. Results Heavy work demands were associated with increased levels of work-to-family conflict. There were significant interactions between work demands, work-to-family conflict, and department/division culture. A culture conducive to women’s academic success significantly moderated the effect of work hours on time-based work-to-family conflict and significantly moderated the effect of work overload on strain-based work-to-family conflict. At equivalent levels of work demands, women in more supportive cultures experienced lower levels of work-to-family conflict. Conclusions The culture of the department/division plays a crucial role in women’s work-to-family conflict and can exacerbate or alleviate the impact of extremely high work demands. This finding leads to important insights about strategies for more effectively supporting the careers of women assistant professors. PMID:24556773

Emergency Department Management of Hereditary Angioedema Attacks: Patient Perspectives.

PubMed

Otani, Iris M; Christiansen, Sandra C; Busse, Paula; Camargo, Carlos A; Zuraw, Bruce L; Riedl, Marc A; Banerji, Aleena

Emergency department (ED) management of hereditary angioedema (HAE) has been hindered by misdiagnosis and limited treatment options. Food and Drug Administration approval of 4 on-demand HAE therapies starting in 2009 and the publication of ED guidelines for angioedema management in 2014 should facilitate improvement of HAE management in the ED. The objective of this study was to identify patient-reported areas for improvement in ED management of HAE attacks. Patients with self-reported HAE with C1 inhibitor deficiency who attended the 2015 HAE Association Patient Summit were asked to complete an anonymous 30-question survey. Questions addressed patient characteristics and HAE management in the ED. Patients indicated that understanding of HAE in the ED needed improvement (99%, 104 of 105 patients). Recognition of HAE as a diagnosis (48%, 50 of 105 patients), appreciation of HAE as a serious disease (45%, 47 of 105 patients), and medication management (59%, 62 of 105 patients) were identified as areas needing improvement. Among 39 patients who required ED care within the last year, 6 did not receive any HAE-targeted therapy, and treatment with corticosteroids (n = 3), epinephrine (n = 2), and antihistamines (n = 7) was reported. Among 68 patients whose treatment plan was to receive home on-demand therapy, 26 required ED care because of an inability to receive on-demand therapy at home as outlined in their treatment plan. Having a treatment plan was associated with a greater likelihood of receiving HAE therapy in the ED (99% vs 74%, P = .002). HAE management in the ED can be improved with a focus on recognition of HAE attacks and administration of effective HAE therapies. Copyright © 2016 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Demand driven decision support for efficient water resources allocation in irrigated agriculture

NASA Astrophysics Data System (ADS)

Schuetze, Niels; Grießbach, Ulrike Ulrike; Röhm, Patric; Stange, Peter; Wagner, Michael; Seidel, Sabine; Werisch, Stefan; Barfus, Klemens

2014-05-01

Due to climate change, extreme weather conditions, such as longer dry spells in the summer months, may have an increasing impact on the agriculture in Saxony (Eastern Germany). For this reason, and, additionally, declining amounts of rainfall during the growing season the use of irrigation will be more important in future in Eastern Germany. To cope with this higher demand of water, a new decision support framework is developed which focuses on an integrated management of both irrigation water supply and demand. For modeling the regional water demand, local (and site-specific) water demand functions are used which are derived from the optimized agronomic response at farms scale. To account for climate variability the agronomic response is represented by stochastic crop water production functions (SCWPF) which provide the estimated yield subject to the minimum amount of irrigation water. These functions take into account the different soil types, crops and stochastically generated climate scenarios. By applying mathematical interpolation and optimization techniques, the SCWPF's are used to compute the water demand considering different constraints, for instance variable and fix costs or the producer price. This generic approach enables the computation for both multiple crops at farm scale as well as of the aggregated response to water pricing at a regional scale for full and deficit irrigation systems. Within the SAPHIR (SAxonian Platform for High Performance Irrigation) project a prototype of a decision support system is developed which helps to evaluate combined water supply and demand management policies for an effective and efficient utilization of water in order to meet future demands. The prototype is implemented as a web-based decision support system and it is based on a service-oriented geo-database architecture.

Integrated thermal and energy management of plug-in hybrid electric vehicles

NASA Astrophysics Data System (ADS)

Shams-Zahraei, Mojtaba; Kouzani, Abbas Z.; Kutter, Steffen; Bäker, Bernard

2012-10-01

In plug-in hybrid electric vehicles (PHEVs), the engine temperature declines due to reduced engine load and extended engine off period. It is proven that the engine efficiency and emissions depend on the engine temperature. Also, temperature influences the vehicle air-conditioner and the cabin heater loads. Particularly, while the engine is cold, the power demand of the cabin heater needs to be provided by the batteries instead of the waste heat of engine coolant. The existing energy management strategies (EMS) of PHEVs focus on the improvement of fuel efficiency based on hot engine characteristics neglecting the effect of temperature on the engine performance and the vehicle power demand. This paper presents a new EMS incorporating an engine thermal management method which derives the global optimal battery charge depletion trajectories. A dynamic programming-based algorithm is developed to enforce the charge depletion boundaries, while optimizing a fuel consumption cost function by controlling the engine power. The optimal control problem formulates the cost function based on two state variables: battery charge and engine internal temperature. Simulation results demonstrate that temperature and the cabin heater/air-conditioner power demand can significantly influence the optimal solution for the EMS, and accordingly fuel efficiency and emissions of PHEVs.

Forecasting the stochastic demand for inpatient care: the case of the Greek national health system.

PubMed

Boutsioli, Zoe

2010-08-01

The aim of this study is to estimate the unexpected demand of Greek public hospitals. A multivariate model with four explanatory variables is used. These are as follows: the weekend effect, the duty effect, the summer holiday and the official holiday. The method of the ordinary least squares is used to estimate the impact of these variables on the daily hospital emergency admissions series. The forecasted residuals of hospital regressions for each year give the estimated stochastic demand. Daily emergency admissions decline during weekends, summer months and official holidays, and increase on duty hospital days. Stochastic hospital demand varies both among hospitals and over the five-year time period under investigation. Variations among hospitals are larger than time variations. Hospital managers and health policy-makers can be availed by forecasting the future flows of emergent patients. The benefit can be both at managerial and economical level. More advanced models including additional daily variables such as the weather forecasts could provide more accurate estimations.

Managing Phenol Contents in Crop Plants by Phytochemical Farming and Breeding—Visions and Constraints

PubMed Central

Treutter, Dieter

2010-01-01

Two main fields of interest form the background of actual demand for optimized levels of phenolic compounds in crop plants. These are human health and plant resistance to pathogens and to biotic and abiotic stress factors. A survey of agricultural technologies influencing the biosynthesis and accumulation of phenolic compounds in crop plants is presented, including observations on the effects of light, temperature, mineral nutrition, water management, grafting, elevated atmospheric CO2, growth and differentiation of the plant and application of elicitors, stimulating agents and plant activators. The underlying mechanisms are discussed with respect to carbohydrate availability, trade-offs to competing demands as well as to regulatory elements. Outlines are given for genetic engineering and plant breeding. Constraints and possible physiological feedbacks are considered for successful and sustainable application of agricultural techniques with respect to management of plant phenol profiles and concentrations. PMID:20479987

Effectiveness of a nurse-supported self-management programme for dual sensory impaired older adults in long-term care: a cluster randomised controlled trial.

PubMed

Roets-Merken, Lieve M; Zuidema, Sytse U; Vernooij-Dassen, Myrra J F J; Teerenstra, Steven; Hermsen, Pieter G J M; Kempen, Gertrudis I J M; Graff, Maud J L

2018-01-24

To evaluate the effectiveness of a nurse-supported self-management programme to improve social participation of dual sensory impaired older adults in long-term care homes. Cluster randomised controlled trial. Thirty long-term care homes across the Netherlands. Long-term care homes were randomised into intervention clusters (n=17) and control clusters (n=13), involving 89 dual sensory impaired older adults and 56 licensed practical nurses. Nurse-supported self-management programme. Effectiveness was evaluated by the primary outcome social participation using a participation scale adapted for visually impaired older adults distinguishing four domains: instrumental activities of daily living, social-cultural activities, high-physical-demand and low-physical-demand leisure activities. A questionnaire assessing hearing-related participation problems was added as supportive outcome. Secondary outcomes were autonomy, control, mood and quality of life and nurses' job satisfaction. For effectiveness analyses, linear mixed models were used. Sampling and intervention quality were analysed using descriptive statistics. Self-management did not affect all four domains of social participation; however. the domain 'instrumental activities of daily living' had a significant effect in favour of the intervention group (P=0.04; 95% CI 0.12 to 8.5). Sampling and intervention quality was adequate. A nurse-supported self-management programme was effective in empowering the dual sensory impaired older adults to address the domain 'instrumental activities of daily living', but no differences were found in addressing the other three participation domains. Self-management showed to be beneficial for managing practical problems, but not for those problems requiring behavioural adaptations of other persons. NCT01217502; Results. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings

DOE PAGES

Cui, Borui; Gao, Dian-ce; Xiao, Fu; ...

2016-12-23

This article provides a method in comprehensive evaluation of cost-saving potential of active cool thermal energy storage (CTES) integrated with HVAC system for demand management in non-residential building. The active storage is beneficial by shifting peak demand for peak load management (PLM) as well as providing longer duration and larger capacity of demand response (DR). In this research, a model-based optimal design method using genetic algorithm is developed to optimize the capacity of active CTES aiming for maximizing the life-cycle cost saving concerning capital cost associated with storage capacity as well as incentives from both fast DR and PLM. Inmore » the method, the active CTES operates under a fast DR control strategy during DR events while under the storage-priority operation mode to shift peak demand during normal days. The optimal storage capacities, maximum annual net cost saving and corresponding power reduction set-points during DR event are obtained by using the proposed optimal design method. Lastly, this research provides guidance in comprehensive evaluation of cost-saving potential of CTES integrated with HVAC system for building demand management including both fast DR and PLM.« less

Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings

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

Cui, Borui; Gao, Dian-ce; Xiao, Fu

This article provides a method in comprehensive evaluation of cost-saving potential of active cool thermal energy storage (CTES) integrated with HVAC system for demand management in non-residential building. The active storage is beneficial by shifting peak demand for peak load management (PLM) as well as providing longer duration and larger capacity of demand response (DR). In this research, a model-based optimal design method using genetic algorithm is developed to optimize the capacity of active CTES aiming for maximizing the life-cycle cost saving concerning capital cost associated with storage capacity as well as incentives from both fast DR and PLM. Inmore » the method, the active CTES operates under a fast DR control strategy during DR events while under the storage-priority operation mode to shift peak demand during normal days. The optimal storage capacities, maximum annual net cost saving and corresponding power reduction set-points during DR event are obtained by using the proposed optimal design method. Lastly, this research provides guidance in comprehensive evaluation of cost-saving potential of CTES integrated with HVAC system for building demand management including both fast DR and PLM.« less

Adaptation of water resource systems to an uncertain future

NASA Astrophysics Data System (ADS)

Walsh, Claire L.; Blenkinsop, Stephen; Fowler, Hayley J.; Burton, Aidan; Dawson, Richard J.; Glenis, Vassilis; Manning, Lucy J.; Jahanshahi, Golnaz; Kilsby, Chris G.

2016-05-01

Globally, water resources management faces significant challenges from changing climate and growing populations. At local scales, the information provided by climate models is insufficient to support the water sector in making future adaptation decisions. Furthermore, projections of change in local water resources are wrought with uncertainties surrounding natural variability, future greenhouse gas emissions, model structure, population growth, and water consumption habits. To analyse the magnitude of these uncertainties, and their implications for local-scale water resource planning, we present a top-down approach for testing climate change adaptation options using probabilistic climate scenarios and demand projections. An integrated modelling framework is developed which implements a new, gridded spatial weather generator, coupled with a rainfall-runoff model and water resource management simulation model. We use this to provide projections of the number of days and associated uncertainty that will require implementation of demand saving measures such as hose pipe bans and drought orders. Results, which are demonstrated for the Thames Basin, UK, indicate existing water supplies are sensitive to a changing climate and an increasing population, and that the frequency of severe demand saving measures are projected to increase. Considering both climate projections and population growth, the median number of drought order occurrences may increase 5-fold by the 2050s. The effectiveness of a range of demand management and supply options have been tested and shown to provide significant benefits in terms of reducing the number of demand saving days. A decrease in per capita demand of 3.75 % reduces the median frequency of drought order measures by 50 % by the 2020s. We found that increased supply arising from various adaptation options may compensate for increasingly variable flows; however, without reductions in overall demand for water resources such options will be insufficient on their own to adapt to uncertainties in the projected changes in climate and population. For example, a 30 % reduction in overall demand by 2050 has a greater impact on reducing the frequency of drought orders than any of the individual or combinations of supply options; hence, a portfolio of measures is required.

Industrial demand side management: A status report

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

Hopkins, M.F.; Conger, R.L.; Foley, T.J.

This report provides an overview of and rationale for industrial demand side management (DSM) programs. Benefits and barriers are described, and data from the Manufacturing Energy Consumption Survey are used to estimate potential energy savings in kilowatt hours. The report presents types and examples of programs and explores elements of successful programs. Two in-depth case studies (from Boise Cascade and Eli Lilly and Company) illustrate two types of effective DSM programs. Interviews with staff from state public utility commissions indicate the current thinking about the status and future of industrial DSM programs. A comprehensive bibliography is included, technical assistance programsmore » are listed and described, and a methodology for evaluating potential or actual savings from projects is delineated.« less

Energy demand analysis via small scale hydroponic systems in suburban areas - An integrated energy-food nexus solution.

PubMed

Xydis, George A; Liaros, Stelios; Botsis, Konstantinos

2017-09-01

The study is a qualitative approach and looks into new ways for the effective energy management of a wind farm (WF) operation in a suburban or near-urban environment in order the generated electricity to be utilised for hydroponic farming purposes as well. Since soilless hydroponic indoor systems gain more and more attention one basic goal, among others, is to take advantage of this not typical electricity demand and by managing it, offering to the grid a less fluctuating electricity generation signal. In this paper, a hybrid business model is presented where the Distributed Energy Resources (DER) producer is participating in the electricity markets under competitive processes (spot market, real-time markets etc.) and at the same time acts as a retailer offering - based on the demand - to the hydroponic units for their mass deployment in an area, putting forward an integrated energy-food nexus approach. Copyright © 2017 Elsevier B.V. All rights reserved.

Fatigue management in the workplace

PubMed Central

Sadeghniiat-Haghighi, Khosro; Yazdi, Zohreh

2015-01-01

Workers’ fatigue is a significant problem in modern industry, largely because of high demand jobs, long duty periods, disruption of circadian rhythms, and accumulative sleep debt that are common in many industries. Fatigue is the end result of integration of multiple factors such as time awake, time of day, and workload. Then, the full understanding of circadian biologic clock, dynamics of transient and cumulative sleep loss, and recovery is required for effective management of workplace fatigue. It can be more investigated in a new field of sleep medicine called occupational sleep medicine. Occupational sleep medicine is concerned with maintaining best productivity and safety in the industrial settings. The fatigue risk management system (FRMS) is a comprehensive approach that is based on applying scientific evidence of sleep knowledge to manage workers fatigue. It is developing rapidly in the highly safety demand jobs; especially truck drivers, pilots, and power plant workers. The objective of this review is to explain about fatigue in the workplace with emphasis on its association work performance and errors/accidents. Also, we discussed about different methods of fatigue measurement and management. PMID:26257477

Information logistics: A production-line approach to information services

NASA Technical Reports Server (NTRS)

Adams, Dennis; Lee, Chee-Seng

1991-01-01

Logistics can be defined as the process of strategically managing the acquisition, movement, and storage of materials, parts, and finished inventory (and the related information flow) through the organization and its marketing channels in a cost effective manner. It is concerned with delivering the right product to the right customer in the right place at the right time. The logistics function is composed of inventory management, facilities management, communications unitization, transportation, materials management, and production scheduling. The relationship between logistics and information systems is clear. Systems such as Electronic Data Interchange (EDI), Point of Sale (POS) systems, and Just in Time (JIT) inventory management systems are important elements in the management of product development and delivery. With improved access to market demand figures, logisticians can decrease inventory sizes and better service customer demand. However, without accurate, timely information, little, if any, of this would be feasible in today's global markets. Information systems specialists can learn from logisticians. In a manner similar to logistics management, information logistics is concerned with the delivery of the right data, to the ring customer, at the right time. As such, information systems are integral components of the information logistics system charged with providing customers with accurate, timely, cost-effective, and useful information. Information logistics is a management style and is composed of elements similar to those associated with the traditional logistics activity: inventory management (data resource management), facilities management (distributed, centralized and decentralized information systems), communications (participative design and joint application development methodologies), unitization (input/output system design, i.e., packaging or formatting of the information), transportations (voice, data, image, and video communication systems), materials management (data acquisition, e.g., EDI, POS, external data bases, data entry) and production scheduling (job, staff, and project scheduling).

Optimal Decision-making Model of Integrated Water Resources Management - A Case of Hsinchu Water Resources Management

NASA Astrophysics Data System (ADS)

Wang, S. Y.; Ho, C. C.; Chang, L. C.

2017-12-01

The public use water in Hsinchu are mainly supplied from Baoshan Reservoir, Second Baoshan Reservoir, Yongheshan Reservoir and Longen Weir. However, the increasing water demand, caused by development of the Hsinchu Science and Industrial Park, results in supply stable water getting more difficult. For stabilize water supply in Hsinchu, the study applies long-term and short-term plans to fulfill the water shortage. Developing an efficient methodology to define a cost-effective action portfolio is an important task. Hence, the study develops a novel decision model, the Stochastic Programming with Recourse Decision Model (SPRDM), to estimate a cost-effective action portfolio. The first-stage of SPRDM determine the long-term action portfolio and the portfolio accompany recourse information (the probability for water shortage event). The second-stage of SPRDM optimize the cost-effective action portfolio in response to the recourse information. In order to consider the uncertainty of reservoir sediment and demand growth, the study set 9 scenarios comprise optimistic, most likely, and pessimistic reservoir sediment and demand growth. The results show the optimal action portfolio consist of FengTain Lake and Panlon Weir, Hsinchu Desalination Plant, Domestic and Industrial Water long-term plans, and Emergency Backup Well, Irrigation Water Transference, Preliminary Water Rationing, Advanced Water Rationing and Water Transport from Other Districts short-term plans. The minimum expected cost of optimal action portfolio is NT$1.1002 billion. The results can be used as a reference for decision making because the results have considered the uncertainty of varied hydrology, reservoir sediment, and water demand growth.

Estimating irrigation water demand in the Moroccan Drâa Valley using contingent valuation.

PubMed

Storm, Hugo; Heckelei, Thomas; Heidecke, Claudia

2011-10-01

Irrigation water management is crucial for agricultural production and livelihood security in Morocco as in many other parts of the world. For the implementation of an effective water management, knowledge about farmers' demand for irrigation water is crucial to assess reactions to water pricing policy, to establish a cost-benefit analysis of water supply investments or to determine the optimal water allocation between different users. Previously used econometric methods providing this information often have prohibitive data requirements. In this paper, the Contingent Valuation Method (CVM) is adjusted to derive a demand function for irrigation water along farmers' willingness to pay for one additional unit of surface water or groundwater. An application in the Middle Drâa Valley in Morocco shows that the method provides reasonable results in an environment with limited data availability. For analysing the censored survey data, the Least Absolute Deviation estimator was found to be a more suitable alternative to the Tobit model as errors are heteroscedastic and non-normally distributed. The adjusted CVM to derive demand functions is especially attractive for water scarce countries under limited data availability. Copyright © 2011 Elsevier Ltd. All rights reserved.

From Hydroclimatic Prediction to Negotiated and Risk Managed Water Allocation and Reservoir Operation (Invited)

NASA Astrophysics Data System (ADS)

Lall, U.

2013-12-01

The availability of long lead climate forecasts that can in turn inform streamflow, agricultural, ecological and municipal/industrial and energy demands provides an opportunity for innovations in water resources management that go beyond the current practices and paradigms. In a practical setting, managers seek to meet registered demands as well as they can. Pricing mechanisms to manage demand are rarely invoked. Drought restrictions and operations are implemented as needed, and pressures from special interest groups are sometimes accommodated through a variety of processes. In the academic literature, there is a notion that demand curves for different sectors could be established and used for "optimal management". However, the few attempts to implement such ideas have invariably failed as elicitation of demand elasticity and socio-political factors is imperfect at best. In this talk, I will focus on what is worth predicting and for whom and how operational risks for the water system can be securitized while providing a platform for priced and negotiated allocation of the resources in the presence of imperfect forecasts. The possibility of a national or regional market for water contracts as part of the framework is explored, and its potential benefits and pitfalls identified.

Effects of mental demands during dispensing on perceived medication safety and employee well being: A study of workload in pediatric hospital pharmacies

PubMed Central

Holden, Richard J.; Patel, Neal R.; Scanlon, Matthew C.; Shalaby, Theresa M.; Arnold, Judi M.; Karsh, Ben-Tzion

2009-01-01

Background Pharmacy workload is a modifiable work system factor believed to affect both medication safety outcomes and employee outcomes such as job satisfaction. Objectives This study sought to measure the effect of workload on safety and employee outcomes in two pediatric hospitals and to do so using a novel approach to pharmacy workload measurement. Methods Rather than measuring prescription volume or other similar indicators, this study measured the type and intensity of mental demands experienced during the medication dispensing tasks. The effects of external (interruptions, divided attention, rushing) and internal (concentration, effort) task demands on perceived medication error likelihood, adverse drug event likelihood, job dissatisfaction, and burnout were statistically estimated using multiple linear and logistic regression. Results Pharmacists and pharmacy technicians reported high levels of external and internal mental demands during dispensing. The study supported the hypothesis that external demands (interruptions, divided attention, rushing) negatively impacted medication safety and employee well being outcomes. However, as hypothesized, increasing levels of internal demands (concentration and effort) were not associated with greater perceived likelihood of error, adverse drug events, or burnout, and even had a positive effect on job satisfaction. Conclusion Replicating a prior study in nursing, this study shows that new conceptualizations and measures of workload can generate important new findings about both detrimental and beneficial effects of workload on patient safety and employee well being. This study discusses what those findings imply for policy, management, and design concerning automation, cognition, and staffing. PMID:21111387

Effects of mental demands during dispensing on perceived medication safety and employee well-being: a study of workload in pediatric hospital pharmacies.

PubMed

Holden, Richard J; Patel, Neal R; Scanlon, Matthew C; Shalaby, Theresa M; Arnold, Judi M; Karsh, Ben-Tzion

2010-12-01

Pharmacy workload is a modifiable work system factor believed to affect both medication safety outcomes and employee outcomes, such as job satisfaction. This study sought to measure the effect of workload on safety and employee outcomes in 2 pediatric hospitals and to do so using a novel approach to pharmacy workload measurement. Rather than measuring prescription volume or other similar indicators, this study measured the type and intensity of mental demands experienced during the medication dispensing tasks. The effects of external (interruptions, divided attention, and rushing) and internal (concentration and effort) task demands on perceived medication error likelihood, adverse drug event likelihood, job dissatisfaction, and burnout were statistically estimated using multiple linear and logistic regression. Pharmacists and pharmacy technicians reported high levels of external and internal mental demands during dispensing. The study supported the hypothesis that external demands (interruptions, divided attention, and rushing) negatively impacted medication safety and employee well-being outcomes. However, as hypothesized, increasing levels of internal demands (concentration and effort) were not associated with greater perceived likelihood of error, adverse drug events, or burnout and even had a positive effect on job satisfaction. Replicating a prior study in nursing, this study shows that new conceptualizations and measures of workload can generate important new findings about both detrimental and beneficial effects of workload on patient safety and employee well-being. This study discusses what those findings imply for policy, management, and design concerning automation, cognition, and staffing. Copyright © 2010 Elsevier Inc. All rights reserved.

Active transportation and demand management (ATDM) foundational research : analysis plan.

DOT National Transportation Integrated Search

2013-06-01

As part of the Federal Highway Administrations (FHWAs) Active Transportation and Demand Management (ATDM) Foundational Research, this publication presents a high-level analysis approach to evaluate four illustrative described in the AMS CONOPS ...

Optimized active traffic management and speed harmonization in work zones.

DOT National Transportation Integrated Search

2014-01-01

Traffic and demand management are major strategies to control delay and congestion in : highway bottlenecks including work zones. The Federal Highway Administration (FHWA) : introduced innovative strategies, called Active Traffic and Demand Managemen...

Individual- and Organization-Level Work-to-Family Spillover Are Uniquely Associated with Hotel Managers' Work Exhaustion and Satisfaction

PubMed Central

Lee, Soomi; Davis, Kelly D.; Neuendorf, Claudia; Grandey, Alicia; Lam, Chun Bun; Almeida, David M.

2016-01-01

Purpose: Building on the Conservation of Resources theory, this paper examined the unique and interactive associations of negative and positive work-to-family spillover (NWFS and PWFS, respectively) at the individual and organizational level with hotel managers' work exhaustion and satisfaction, beyond job demands and supervisors' leadership style. Design/Methodology/Approach: Guided by the levels of analysis framework, we first tested the unique associations of NWFS and PWFS with emotional exhaustion and job satisfaction at the individual level (571 hotel managers), beyond job demands supervisors' leadership style. Second, using multilevel modeling, we tested the climate effects of NWFS and PWFS on emotional exhaustion and job satisfaction aggregated at the organizational level (41 hotels). Third, we examined the role of the organizational climate of PWFS in the associations of individual-level NWFS with emotional exhaustion and job satisfaction. Findings: Beyond the effects of psychological job demands and supervisor's transformational leadership, at the individual level, hotel managers who experienced higher NWFS than other managers reported more exhaustion and lower job satisfaction, whereas those with higher PWFS reported less exhaustion and higher satisfaction. At the organizational level, working in hotels where the average level of NWFS was higher than other hotels was associated with feeling more exhaustion of the individual members; working in hotels with higher PWFS was associated with feeling less exhaustion. The negative link between individual-level NWFS and job satisfaction was buffered when organization-level PWFS was higher, compared to when it was lower. Originality/Value: This study moves beyond a focus on traditional job characteristics, toward considering individual and organizational experiences in the work-family interface as unique predictors of work exhaustion and satisfaction. Strengths of the study include illuminating organizational work-family climate effects such that coworkers' shared experiences of NWFS and PWFS explain individual members' work exhaustion, beyond their own experiences of spillover. The results also highlight that a high level of organizational PWFS can buffer the negative effects of individual NWFS. PMID:27582712

Adherence to Attention-Deficit/Hyperactivity Disorder Medication During the Transition to College.

PubMed

Schaefer, Megan R; Rawlinson, Alana Resmini; Wagoner, Scott T; Shapiro, Steven K; Kavookjian, Jan; Gray, Wendy N

2017-06-01

The present study explores the medication self-management experiences of adolescents with attention-deficit/hyperactivity disorder (ADHD) during their transition to young adulthood in college. Participants were college freshmen with ADHD prescribed daily medication for their condition. Ten individual interviews were conducted using a semistructured interview script. Measures related to ADHD medication management were also completed. Qualitative data were analyzed via directed content analysis and quantitative data via descriptive statistics. Five themes emerged from interviews: (1) transitions to independence are often abrupt, and many adolescents lack critical self-management skills; (2) volitional nonadherence is high due to inaccurate disease beliefs, perceived academic demands, and medication side effects; (3) poor self-management negatively impacts school performance; (4) peer pressure to share medication affects social functioning and adherence; and (5) social support is greatly needed. Common barriers to adherence included "don't feel like taking medication" (90%) and "difficulties in sticking to a fixed medication schedule" (80%). Participants with ADHD were not prepared to manage their chronic illness independently in context of increased demands and newfound freedom, resulting in negative academic consequences. Social factors also play an influential role in ADHD self-management, particularly related to the isolation associated with sharing the medication and its side effects. Intervention programs targeting medication self-management during the transition to independence are greatly needed for young adults with ADHD as high academic performance in college is critical for future success. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

An Evaluation of the Educational Effectiveness of a Relational Course Compared to Single Topic Courses Offered by the Management Department of the United States Air Force

DTIC Science & Technology

1994-09-01

Academy and courses offered at civilian business schools . However, because the goals of an organization drive methods used to attain them, one must first...Educational Research Journal. 10, 253-262 (1973). Mason, Julie Cohen. " Business Schools : Striving To Meet Customer Demand," Management Review. 81(9). 10-14

A Multi-Attribute Assessment of Site Preparation Effects on the Socioeconomical and Ecological Attributes of Loblolly Pine (Pinus taeda) Stands

Treesearch

James H. Miller; Jianbang Gan; Stephen H. Kolison; Robert S. Boyd; Kenneth L. McNabb; B. Graeme Lockaby

1998-01-01

The public demands both commodity and non-commodity goods and srvices from our forests. This requires management options that not only provide fiber, clean water, wildlife habitat, and mcreation, but do so in a biologically sustainable manner, resulting in healthy productive forests into perpetuity. A common forest management activity used to enhance fiber production...

Time management for today's workplace demands.

PubMed

Thomack, Bill

2012-05-01

As the work force decreases, the workload remains the same or, in many cases, increases. An effective employee must arrange work time to accomplish what needs to be done in the time available. The best way to manage time is to set a goal, develop a plan, and measure the outcome. To manage time requires determining where time is currently spent, taking time at the end of the day to prepare for the next morning, managing appointments, carefully planning projects, and managing phone, electronic, and paper mail. Organization is another step in effectively managing time. An organizational system decreases wasted time. Keeping the desk clear and creating a system to organize mail improves efficiency. Time management also focuses on balance, an overall purpose, and supporting principles. Personal or professional effectiveness does not depend solely on the effort expended, but whether the effort is in the right direction. The challenge of time management is to manage not only time, but also oneself. Copyright 2012, SLACK Incorporated.

Principals' Self-Perceptions of the Effectiveness of Their Evaluations

ERIC Educational Resources Information Center

Galford, Kathryn B.

2018-01-01

Due to increased demands of accountability for student achievement in recent years, the role of the school principal has evolved to include a diverse combination of management and instructional leadership skills. As a result, new emphasis has been placed on the importance of effective evaluation systems designed to both assess and assist…

Classroom-based Interventions and Teachers' Perceived Job Stressors and Confidence: Evidence from a Randomized Trial in Head Start Settings.

PubMed

Zhai, Fuhua; Raver, C Cybele; Li-Grining, Christine

2011-09-01

Preschool teachers' job stressors have received increasing attention but have been understudied in the literature. We investigated the impacts of a classroom-based intervention, the Chicago School Readiness Project (CSRP), on teachers' perceived job stressors and confidence, as indexed by their perceptions of job control, job resources, job demands, and confidence in behavior management. Using a clustered randomized controlled trial (RCT) design, the CSRP provided multifaceted services to the treatment group, including teacher training and mental health consultation, which were accompanied by stress-reduction services and workshops. Overall, 90 teachers in 35 classrooms at 18 Head Start sites participated in the study. After adjusting for teacher and classroom factors and site fixed effects, we found that the CSRP had significant effects on the improvement of teachers' perceived job control and work-related resources. We also found that the CSRP decreased teachers' confidence in behavior management and had no statistically significant effects on job demands. Overall, we did not find significant moderation effects of teacher race/ethnicity, education, teaching experience, or teacher type. The implications for research and policy are discussed.

The design of optimal electric power demand management contracts

NASA Astrophysics Data System (ADS)

Fahrioglu, Murat

1999-11-01

Our society derives a quantifiable benefit from electric power. In particular, forced outages or blackouts have enormous consequences on society, one of which is loss of economic surplus. Electric utilities try to provide reliable supply of electric power to their customers. Maximum customer benefit derives from minimum cost and sufficient supply availability. Customers willing to share in "availability risk" can derive further benefit by participating in controlled outage programs. Specifically, whenever utilities foresee dangerous loading patterns, there is a need for a rapid reduction in demand either system-wide or at specific locations. The utility needs to get relief in order to solve its problems quickly and efficiently. This relief can come from customers who agree to curtail their loads upon request in exchange for an incentive fee. This thesis shows how utilities can get efficient load relief while maximizing their economic benefit. This work also shows how estimated customer cost functions can be calibrated, using existing utility data, to help in designing efficient demand management contracts. In order to design such contracts, optimal mechanism design is adopted from "Game Theory" and applied to the interaction between a utility and its customers. The idea behind mechanism design is to design an incentive structure that encourages customers to sign up for the right contract and reveal their true value of power. If a utility has demand management contracts with customers at critical locations, most operational problems can be solved efficiently. This thesis illustrates how locational attributes of customers incorporated into demand management contract design can have a significant impact in solving system problems. This kind of demand management contracts can also be used by an Independent System Operator (ISO). During times of congestion a loss of economic surplus occurs. When the market is too slow or cannot help relieve congestion, demand management can help solve the problem. Another tool the ISO requires for security purposes is reserves. Even though demand management contracts may not be a good substitute for spinning reserves, they are adequate to augment or replace supplemental and backup reserves.

[Design and application of user managing system of cardiac remote monitoring network].

PubMed

Chen, Shouqiang; Zhang, Jianmin; Yuan, Feng; Gao, Haiqing

2007-12-01

According to inpatient records, data managing demand of cardiac remote monitoring network and computer, this software was designed with relative database ACCESS. Its interface, operational button and menu were designed in VBA language assistantly. Its design included collective design, amity, practicability and compatibility. Its function consisted of registering, inquiring, statisticing and printing, et al. It could be used to manage users effectively and could be helpful to exerting important action of cardiac remote monitoring network in preventing cardiac-vascular emergency ulteriorly.

Final Environmental Assessment: Decommissioning of the Minuteman Village Mobile Home Park and Restoration of the Site, Hanscom Air Force Base, Massachusetts

DTIC Science & Technology

2009-04-29

minimized further by using the best management practices described in this EA. There are a few positive impacts that would occur as a result of the...telecommunications, or natural gas at the site, and there will be substantially reduced electric demand. It is anticipated that the following best management ...accordance with Hanscom AFB’s best management practices (BMPs) to prevent adverse effects to receiving waters. Also, all hazardous materials used during

An integrated study of earth resources in the state of California using remote sensing techniques. [water and forest management

NASA Technical Reports Server (NTRS)

Colwell, R. N.

1974-01-01

Progress and results of an integrated study of California's water resources are discussed. The investigation concerns itself primarily with the usefulness of remote sensing of relation to two categories of problems: (1) water supply; and (2) water demand. Also considered are its applicability to forest management and timber inventory. The cost effectiveness and utility of remote sensors such as the Earth Resources Technology Satellite for water and timber management are presented.

Reduction of peak energy demand based on smart appliances energy consumption adjustment

NASA Astrophysics Data System (ADS)

Powroźnik, P.; Szulim, R.

2017-08-01

In the paper the concept of elastic model of energy management for smart grid and micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. The idea of peak demand reduction in elastic model of energy management is to introduce a balance between demand and supply of current power for the given Micro Smart Grid in the given moment. The results of the simulations studies were presented. They were carried out on real household data available on UCI Machine Learning Repository. The results may have practical application in the smart grid networks, where there is a need for smart appliances energy consumption adjustment. The article presents a proposal to implement the elastic model of energy management as the cloud computing solution. This approach of peak demand reduction might have application particularly in a large smart grid.

Alternative Transportation System Demand Estimation for Federal Land Management Agencies.

DOT National Transportation Integrated Search

2011-09-30

Estimating travel demand for alternative transportation systems (ATS) is challenging in any context, but is even more daunting for Federal Land Management Agencies (FLMAs). Federal public land sites vary widely in their characteristics. Moreover, tra...

Groundwater availability of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho

USGS Publications Warehouse

Vaccaro, J.J.; Kahle, S.C.; Ely, D.M.; Burns, E.R.; Snyder, D.T.; Haynes, J.V.; Olsen, T.D.; Welch, W.B.; Morgan, D.S.

2015-09-22

Changes in the system from predevelopment times. The model also is a useful tool for investigating water supply, water demand, management strategies, groundwater-surface water exchanges, and potential effects of changing climate on the hydrologic system.

10 CFR 436.30 - Purpose and scope.

Code of Federal Regulations, 2010 CFR

2010-01-01

... (3) Entering into negotiations with electric, water, and gas utilities to design cost-effective... regulations. The provisions of this subpart are controlling with regard to energy savings performance... manage electricity demand conducted by gas, water, or electric utilities and generally available to...

Water Demand Management Strategies and Challenges in the Upper Colorado River Basin

NASA Astrophysics Data System (ADS)

Kuhn, R. E.

2016-12-01

Under the 1922 Colorado River Compact, the Upper Basin (Colorado, New Mexico, Utah, and Wyoming) has flow obligations at Lee Ferry to downstream states and Mexico. The Colorado River Storage Project Act (CRSPA) of 1956 led to the construction of four large storage reservoirs. These provide river regulation to allow the Upper Basin to meet its obligations. Lake Powell, the largest and most important, and Lake Mead are now operated in a coordinated manner under the 2007 Interim Guidelines. Studies show that at current demand levels and if the hydrologic conditions the Basin has experienced since the mid-1980s continue or get drier, reservoir operations, alone, may not provide the necessary water to meet the Upper Basin's obligations. Therefore, the Upper Basin states are now studying demand management strategies that will reduce consumptive uses when total system reservoir storage reaches critically low levels. Demand management has its own economic, political and technical challenges and limitations and will provide new opportunities for applied research. This presentation will discuss some of those strategies, their challenges, and the kinds of information that research could provide to inform demand management.

Managing Demand and Capacity Using Multi-Sector Planning and Flexible Airspace: Human-in-the-Loop Evaluation of NextGen

NASA Technical Reports Server (NTRS)

Lee, Paul U.; Smith, Nancy M.; Prevot, Thomas; Homola, Jeffrey R.

2010-01-01

When demand for an airspace sector exceeds capacity, the balance can be re-established by reducing the demand, increasing the capacity, or both. The Multi-Sector Planner (MSP) concept has been proposed to better manage traffic demand by modifying trajectories across multiple sectors. A complementary approach to MSP, called Flexible Airspace Management (FAM), reconfigures the airspace such that capacity can be reallocated dynamically to balance the traffic demand across multiple sectors, resulting in fewer traffic management initiatives. The two concepts have been evaluated with a series of human-in-the-loop simulations at the Airspace Operations Laboratory to examine and refine the roles of the human operators in these concepts, as well as their tools and procedural requirements. So far MSP and FAM functions have been evaluated individually but the integration of the two functions is desirable since there are significant overlaps in their goals, geographic/temporal scope of the problem space, and the implementation timeframe. Ongoing research is planned to refine the humans roles in the integrated concept.

Integrated Resources Management Approach to Ensuring Sustainable Food Security in Nigeria-The Nexus of Rice Production in Niger State

NASA Astrophysics Data System (ADS)

Omotoso, T.

2015-12-01

By 2050, the world will need to feed 9 billion people. This will require a 60% increase in agricultural production and subsequently a 6% increase in water use by the agricultural sector alone. By 2030, global water demand is expected to increase by 40%, mostly in developing countries like Nigeria (Addams, Boccaletti, Kerlin, & Stuchtey, 2009) and global energy demand is expected to increase by 33% in 2035, also, mostly in emerging economies (IEA, 2013). These resources have to be managed efficiently in preparation for these future demands. Population growth leads to increased demand for water, energy and food. More food production will lead to more water-for-food and energy-for-food usage; and more demand for energy will lead to more water-for-energy needs. This nexus between water, energy and food is poorly understood and furthermore, complicated by external drivers such as climate change. Niger State Nigeria, which is blessed with abundant water and arable land resources, houses the three hydropower dams in Nigeria and one of the governments' proposed Staple Crops Processing Zones (SCPZ) for rice production. Both of these capital intensive investments depend heavily on water resources and are all highly vulnerable to changes in climate. Thus, it is essential to know how the local climate in this state will likely change and its impacts on water, energy and food security, so that policy makers can make informed mitigation/adaptation plans; operational and investment decisions. The objective of this project is to provide information, using an integrated resources management approach, on the effects of future climate changes on water, energy (hydropower) and food resources in Niger State, Nigeria and improve knowledge on the interlinkages between water, energy and food at a local scale.

Interaction of Airspace Partitions and Traffic Flow Management Delay

NASA Technical Reports Server (NTRS)

Palopo, Kee; Chatterji, Gano B.; Lee, Hak-Tae

2010-01-01

To ensure that air traffic demand does not exceed airport and airspace capacities, traffic management restrictions, such as delaying aircraft on the ground, assigning them different routes and metering them in the airspace, are implemented. To reduce the delays resulting from these restrictions, revising the partitioning of airspace has been proposed to distribute capacity to yield a more efficient airspace configuration. The capacity of an airspace partition, commonly referred to as a sector, is limited by the number of flights that an air traffic controller can safely manage within the sector. Where viable, re-partitioning of the airspace distributes the flights over more efficient sectors and reduces individual sector demand. This increases the overall airspace efficiency, but requires additional resources in some sectors in terms of controllers and equipment, which is undesirable. This study examines the tradeoff of the number of sectors designed for a specified amount of traffic in a clear-weather day and the delays needed for accommodating the traffic demand. Results show that most of the delays are caused by airport arrival and departure capacity constraints. Some delays caused by airspace capacity constraints can be eliminated by re-partitioning the airspace. Analyses show that about 360 high-altitude sectors, which are approximately today s operational number of sectors of 373, are adequate for delays to be driven solely by airport capacity constraints for the current daily air traffic demand. For a marginal increase of 15 seconds of average delay, the number of sectors can be reduced to 283. In addition, simulations of traffic growths of 15% and 20% with forecasted airport capacities in the years 2018 and 2025 show that delays will continue to be governed by airport capacities. In clear-weather days, for small increases in traffic demand, increasing sector capacities will have almost no effect on delays.

The work-based predictors of job engagement and job satisfaction experienced by community health professionals.

PubMed

Noblet, Andrew J; Allisey, Amanda F; Nielsen, Ingrid L; Cotton, Stacey; LaMontagne, Anthony D; Page, Kathryn M

Job engagement represents a critical resource for community-based health care agencies to achieve high levels of effectiveness. However, studies examining the organizational sources of job engagement among health care professionals have generally overlooked those workers based in community settings. This study drew on the demand-control model, in addition to stressors that are more specific to community health services (e.g., unrewarding management practices), to identify conditions that are closely associated with the engagement experienced by a community health workforce. Job satisfaction was also included as a way of assessing how the predictors of job engagement differ from those associated with other job attitudes. Health and allied health care professionals (n = 516) from two Australian community health services took part in the current investigation. Responses from the two organizations were pooled and analyzed using linear multiple regression. The analyses revealed that three working conditions were predictive of both job engagement and job satisfaction (i.e., job control, quantitative demands, and unrewarding management practices). There was some evidence of differential effects with cognitive demands being associated with job engagement, but not job satisfaction. The results provide important insights into the working conditions that, if addressed, could play key roles in building a more engaged and satisfied community health workforce. Furthermore, working conditions like job control and management practices are amenable to change and thus represent important areas where community health services could enhance the energetic and motivational resources of their employees.

Integrated and Adaptive Reservoir Management in the Context of Hydroclimatic Variability: a Case Study of the Gunnison Basin, Colorado

NASA Astrophysics Data System (ADS)

Ray, A. J.

2007-12-01

Water resources managers in the West face the challenge of meeting multiple and expanding demands for water in the context of existing and future hydroclimatic variations. This case study of water resources management in the Gunnison Basin of Colorado describes a context similar to many others in the western U.S.: demands match or exceed supply, and yet more demands are being made on the system. As elsewhere, new demands often relate to restoring or maintaining environmental sustainability, in this case the flow requirements to implement the Recovery Program for Endangered Fish of the Colorado River and a water right for the Black Canyon of the Gunnison National Park. Strategies to meet these demands focus on use of stored water in the Aspinall Unit, a system of reservoirs managed by the U.S. Bureau of Reclamation (USBR) in conjunction with a diverse set of stakeholders. In response to increased demands, USBR has implemented strategies to more intensively and efficiently use water. However, as a result, the buffer to shortage or drought is all but exhausted and the system is now more sensitive to shortage. Thus by neglecting the risks of hydroclimatic variations, the implementation of these policies to achieve environmental sustainability could be hindered. On the other hand, by more fully recognizing the risks and uncertainty surrounding these variations, managers might adjust annual to interannual operating plans to mitigate adverse conditions in dry years and take advantage of wet years. The presentation will describe two factors important in the incorporation of hydroclimatic risk into management: 1) the potential to use hydroclimatic climate information in operations and long-range planning, and 2) the institutional capacity to use this information effectively. In contrast to the rigid operating constraints found in other systems, operations here are often adjusted for a variety of reasons, revealing flexibility and adaptability in operations and a collaborative management structure that seeks creative solutions . However, the uncertainty of the inflow forecast is itself a major constraining factor for operations, resulting in conservative operational choices even well into the runoff period. Advance notice about conditions in climate forecast could give more time to negotiate contracts, implement agreements, or develop new ones. The advance notice could also allow managers to plan to take advantage of wet years and maximize benefits of surplus, for example, for peak flows for ecosystems. The incorporation of hydroclimatic risk into longer-range planning, such as building flexibility into reservoir operating policies being negotiated under the EIS for the could avoid problems in implementing these policies later if changes in climate limit the amount of water available in the basin. In particular, the capacity of water management institutions to cope with climate will be described through the responses to past hydroclimatic variations.

Stress Management Strategies for Students: The Immediate Effects of Yoga, Humor, and Reading on Stress

ERIC Educational Resources Information Center

Rizzolo, Denise; Zipp, Genevieve Pinto; Stiskal, Doreen; Simpkins, Susan

2009-01-01

Background: Health science programs can be demanding and difficult for many students, leading to high levels of stress. High levels of stress can have a negative effect on students and subsequently the practicing clinician. Research suggests that yoga, humor, and reading are simple, effective methods to help reduce stress. To date no research…

A novel microgrid demand-side management system for manufacturing facilities

NASA Astrophysics Data System (ADS)

Harper, Terance J.

Thirty-one percent of annual energy consumption in the United States occurs within the industrial sector, where manufacturing processes account for the largest amount of energy consumption and carbon emissions. For this reason, energy efficiency in manufacturing facilities is increasingly important for reducing operating costs and improving profits. Using microgrids to generate local sustainable power should reduce energy consumption from the main utility grid along with energy costs and carbon emissions. Also, microgrids have the potential to serve as reliable energy generators in international locations where the utility grid is often unstable. For this research, a manufacturing process that had approximately 20 kW of peak demand was matched with a solar photovoltaic array that had a peak output of approximately 3 KW. An innovative Demand-Side Management (DSM) strategy was developed to manage the process loads as part of this smart microgrid system. The DSM algorithm managed the intermittent nature of the microgrid and the instantaneous demand of the manufacturing process. The control algorithm required three input signals; one from the microgrid indicating the availability of renewable energy, another from the manufacturing process indicating energy use as a percent of peak production, and historical data for renewable sources and facility demand. Based on these inputs the algorithm had three modes of operation: normal (business as usual), curtailment (shutting off non-critical loads), and energy storage. The results show that a real-time management of a manufacturing process with a microgrid will reduce electrical consumption and peak demand. The renewable energy system for this research was rated to provide up to 13% of the total manufacturing capacity. With actively managing the process loads with the DSM program alone, electrical consumption from the utility grid was reduced by 17% on average. An additional 24% reduction was accomplished when the microgrid and DSM program was enabled together, resulting in a total reduction of 37%. On average, peak demand was reduced by 6%, but due to the intermittency of the renewable source and the billing structure for peak demand, only a 1% reduction was obtained. During a billing period, it only takes one day when solar irradiance is poor to affect the demand reduction capabilities. To achieve further demand reduction, energy storage should be introduced and integrated.

[Job Demands-Resources, exhaustion and work engagement in a long-term care institution].

PubMed

Conway, P M; Neri, L; Campanini, P; Francioli, L; Camerino, D; Punzi, S; Fichera, G P; Costa, G

2012-01-01

In this study, we aimed at testing the main hypotheses of the Job Demands-Resources model (JD-R) in a sample of employees (n = 205, mainly healthcare workers) of a long-term care institution located in Northern Italy. Hierarchical linear regression analyses show that almost all job demands considered were significantly associated with higher general psycho-physical exhaustion (beta ranging from 0.14 to 0.29), whereas more unfavourable scores in all job resources were associated with lower work engagement (from -0.27 to -0.51). However, also significant cross-over associations were observed, mainly between job resources and exhaustion, with effect sizes comparable with those found for the relationships between job demands and exhaustion. Hence, our study only partially supports the JD-R model. Implications of results for work-related stress management are finally discussed.

Long-term evaluation of individualized marketing programs for travel demand management

DOT National Transportation Integrated Search

2010-07-01

This research examines the use of individualized marketing as a transportation demand : management (TDM) strategy, using the City of Portlands SmartTrips program. This research : project has two specific aims: (1) to evaluate whether the benefits ...

Selection and evaluation of travel demand management measures

DOT National Transportation Integrated Search

1997-01-01

Travel demand management (TDM) measures are designed to alter the attractiveness of competing travel modes to prompt individuals to carpool or use transit instead of driving alone. Determining the best set of measures for a given area and estimating ...

Balancing exploration, uncertainty and computational demands in many objective reservoir optimization

NASA Astrophysics Data System (ADS)

Zatarain Salazar, Jazmin; Reed, Patrick M.; Quinn, Julianne D.; Giuliani, Matteo; Castelletti, Andrea

2017-11-01

Reservoir operations are central to our ability to manage river basin systems serving conflicting multi-sectoral demands under increasingly uncertain futures. These challenges motivate the need for new solution strategies capable of effectively and efficiently discovering the multi-sectoral tradeoffs that are inherent to alternative reservoir operation policies. Evolutionary many-objective direct policy search (EMODPS) is gaining importance in this context due to its capability of addressing multiple objectives and its flexibility in incorporating multiple sources of uncertainties. This simulation-optimization framework has high potential for addressing the complexities of water resources management, and it can benefit from current advances in parallel computing and meta-heuristics. This study contributes a diagnostic assessment of state-of-the-art parallel strategies for the auto-adaptive Borg Multi Objective Evolutionary Algorithm (MOEA) to support EMODPS. Our analysis focuses on the Lower Susquehanna River Basin (LSRB) system where multiple sectoral demands from hydropower production, urban water supply, recreation and environmental flows need to be balanced. Using EMODPS with different parallel configurations of the Borg MOEA, we optimize operating policies over different size ensembles of synthetic streamflows and evaporation rates. As we increase the ensemble size, we increase the statistical fidelity of our objective function evaluations at the cost of higher computational demands. This study demonstrates how to overcome the mathematical and computational barriers associated with capturing uncertainties in stochastic multiobjective reservoir control optimization, where parallel algorithmic search serves to reduce the wall-clock time in discovering high quality representations of key operational tradeoffs. Our results show that emerging self-adaptive parallelization schemes exploiting cooperative search populations are crucial. Such strategies provide a promising new set of tools for effectively balancing exploration, uncertainty, and computational demands when using EMODPS.

Are sustainable water resources possible in northwestern India?

NASA Astrophysics Data System (ADS)

Troy, T. J.; Devineni, N.; Perveen, S.; Robertson, A. W.; Lall, U.

2012-12-01

Sustainable water resources can have many definitions with the simplest as a supply-demand problem, with climate dictating the supply of water and human water use the demand. One sign of a system that is not sustainable would be falling groundwater tables, as is the case in northwest India. This region serves as the country's breadbasket, and irrigated agriculture is ubiquitous. The state of Punjab alone produces 22% of the country's wheat and 13% of all the country's grains while only accounting for 1.5% of the country's area. Although the region receives an average precipitation of 600mm per year, it is dominated by monsoonal rainfall with streamflow augmented by upstream snowmelt and glacial melt in spring and summer that is released from a large dam into canals. Large agricultural water demands occur both during the rainy season as well as during the drier winter season. Water and food security are inextricably linked here, and when considering how to manage water sustainably, the consequences on agriculture must also be considered. In this study, we evaluate what a sustainable water resources system would look like in this region, accounting for current climate, crop water demands, and available reservoir storage. The effects of multiple water-saving scenarios are considered, such as crop choice, cropped area, and the use of forecasts in irrigation scheduling. We find that the current system is untenable and hard decisions will have to be made by policymakers in order to halt the depletion of groundwater and manage the region's water resources in a sustainable, effective manner. This work serves as a prototype for evaluating water resources in other regions with high seasonal variability in rainfall and streamflow and large irrigation demands.

Future Water Management in the South Platte River Basin: Impacts of Hydraulic Fracturing, Population, Agriculture, and Climate Change in a Semi-Arid Region.

NASA Astrophysics Data System (ADS)

Walker, E. L.; Hogue, T. S.; Anderson, A. M.; Read, L.

2015-12-01

In semi-arid basins across the world, the gap between water supply and demand is growing due to climate change, population growth, and shifts in agriculture and unconventional energy development. Water conservation efforts among residential and industrial water users, recycling and reuse techniques and innovative regulatory frameworks for water management strive to mitigate this gap, however, the extent of these strategies are often difficult to quantify and not included in modeling water allocations. Decision support systems (DSS) are purposeful for supporting water managers in making informed decisions when competing demands create the need to optimize water allocation between sectors. One region of particular interest is the semi-arid region of the South Platte River basin in northeastern Colorado, where anthropogenic and climatic effects are expected to increase the gap between water supply and demand in the near future. Specifically, water use in the South Platte is impacted by several high-intensity activities, including unconventional energy development, i.e. hydraulic fracturing, and large withdrawals for agriculture; these demands are in addition to a projected population increase of 100% by 2050. The current work describes the development of a DSS for the South Platte River basin, using the Water Evaluation and Planning system software (WEAP) to explore scenarios of how variation in future water use in the energy, agriculture, and municipal sectors will impact water allocation decisions. Detailed data collected on oil and gas water use in the Niobrara shale play will be utilized to predict future sector use. We also employ downscaled climate projections for the region to quantify the potential range of water availability in the basin under each scenario, and observe whether or not, and to what extent, climate may impact management decisions at the basin level.

Demand management: an audit of chemical pathology test rejections by an electronic gate-keeping system at an academic hospital in Cape Town.

PubMed

Smit, Ida; Zemlin, Annalise E; Erasmus, Rajiv T

2015-07-01

Demand management is an area of laboratory activity, which is becoming increasingly important. Within the health-care system, demand management can be defined as the use of health resources to maximise its utility. Tygerberg Hospital has introduced an electronic gate-keeping system. Chemistry tests which generate the highest cost are subjected to this system and may be automatically rejected according to a set of rules. This study aimed: (1) to identify the number of chemistry tests rejected by the eGK; (2) to identify which of these rejected tests were subsequently restored and (3) to assess the impact of rejections on clinical outcome and cost-saving. A retrospective audit was conducted to determine the number of chemistry tests rejected and subsequently restored over a 6-month period. The case-notes of patients for whom requested tests previously rejected had been restored were randomly selected and investigated to assess clinical impact. Any cost-saving was calculated. A total of 68,480 tests were subjected to gate-keeping, and 4605 tests (6.7%) were rejected while 679 (14.7%) of these were restored by the requestor phoning the laboratory after obtaining authorisation. After examining a subset of clinical notes it was found that in most cases (80%), patient care was unaffected. The total cost saved was £ 25,387. The majority of the rejected tests were unnecessary and following rejection, real savings were made. Electronic gate-keeping is a simple, effective and sustainable method of demand management. © The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

An Integrated Modeling System for Water Resource Management Under Climate Change, Socio-Economic Development and Irrigation Management

NASA Astrophysics Data System (ADS)

SU, Q.; Karthikeyan, R.; Lin, Y.

2017-12-01

Water resources across the world have been increasingly stressed in the past few decades due to the population and economic growth and climate change. Consequently, the competing use of water among agricultural, domestic and industrial sectors is expected to be increasing. In this study, the water stresses under various climate change, socio-economic development and irrigation management scenarios are predicted over the period of 2015-2050 using an integrated model, in which the changes in water supply and demand induced by climate change, socio-economic development and irrigation management are dynamically parameterized. Simulations on the case of Texas, Southwest U.S. were performed using the newly developed integrated model, showing that the water stress is projected to be elevated in 2050 over most areas of Texas, particularly at Northern and Southern Plain and metropolitan areas. Climate change represents the most pronounce factor affecting the water supply and irrigation water demand in Texas. The water supply over East Texas is largely reduced in future because of the less precipitation and higher temperature under the climate change scenario, resulting in an elevated irrigation water demand and thus a higher water stress in this region. In contrast, the severity of water shortage in West Texas would be alleviated in future because of climate change. The water shortage index over metropolitan areas would increase by 50-90% under 1.0% migration scenario, suggesting that the population growth in future could also greatly stress the water supply, especially megacities like Dallas, Houston, Austin and San Antonio. The projected increase in manufacturing water demand shows little effects on the water stress. Increasing irrigation rate exacerbates the water stress over irrigated agricultural areas of Texas.

The effect of real-time pricing on load shifting in a highly renewable power system dominated by generation from the renewable sources of wind and photovoltaics

NASA Astrophysics Data System (ADS)

Kies, Alexander; Brown, Tom; Schlachtberger, David; Schramm, Stefan

2017-04-01

The supply-demand imbalance is a major concern in the presence of large shares of highly variable renewable generation from sources like wind and photovoltaics (PV) in power systems. Other than the measures on the generation side, such as flexible backup generation or energy storage, sector coupling or demand side management are the most likely option to counter imbalances, therefore to ease the integration of renewable generation. Demand side management usually refers to load shifting, which comprises the reaction of electricity consumers to price fluctuations. In this work, we derive a novel methodology to model the interplay of load shifting and provided incentives via real-time pricing in highly renewable power systems. We use weather data to simulate generation from the renewable sources of wind and photovoltaics, as well as historical load data, split into different consumption categories, such as, heating, cooling, domestic, etc., to model a simplified power system. Together with renewable power forecast data, a simple market model and approaches to incorporate sector coupling [1] and load shifting [2,3], we model the interplay of incentives and load shifting for different scenarios (e.g., in dependency of the risk-aversion of consumers or the forecast horizon) and demonstrate the practical benefits of load shifting. First, we introduce the novel methodology and compare it with existing approaches. Secondly, we show results of numerical simulations on the effects of load shifting: It supports the integration of PV power by providing a storage, which characteristics can be described as "daily" and provides a significant amount of balancing potential. Lastly, we propose an experimental setup to obtain empirical data on end-consumer load-shifting behaviour in response to price incentives. References [1] Brown, T., Schlachtberger, D., Kies. A., Greiner, M., Sector coupling in a highly renewable European energy system, Proc. of the 15th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, Vienna, Austria, 15.-17. November 2016 [2] Kleinhans, D.: Towards a systematic characterization of the potential of demand side management, arXiv preprint arXiv:1401.4121, 2014 [3] Kies, A., Schyska, B. U., von Bremen, L., The Demand Side Management Potential to Balance a Highly Renewable European Power System. Energies, 9(11), 955, 2016

Strategies for positioning in the managed health care marketplace.

PubMed

Cohn, R

1994-01-01

Managed health care is becoming increasingly common as the demands of cost containment are placed on providers of care. This article defines managed health care, illustrates its continued growth, demonstrates its effect on clinical decision making and reimbursement issues, and suggests strategies for optimal positioning in the managed care marketplace. The hand therapy specialist, whether based in a hospital, an institution-based ambulatory care setting, or a private practice, must be aware of a managed plan's contractual limitations. Parameters discussed are patient length of stay, documentation, reimbursement, patient responsibility, alternatives to conventional treatment protocols, and the potential effects of utilization review on patient treatment. A heightened awareness of managed health care is critical for the manager and practitioner, especially because national health care reform is on the horizon. A provider must be well prepared to ensure delivery of quality care within the myriad restrictions imposed by managed care regulations.

[The Utilization of Health-Related Applications in Chronic Disease Self-Management].

PubMed

Kao, Chi-Wen; Chuang, Hui-Wan; Chen, Ting-Yu

2017-08-01

The dramatic increase in smartphone usage has spurred the development of many health-related mobile applications (apps). On the other hand, population aging and the associated rise in the incidence of chronic disease is increasing the demand for long-term care. Effective chronic disease self-management has been shown to help patients improve their health condition. Numerous smartphone applications currently support patient self-management of chronic disease, facilitating health management and health promotion. The purpose of the present article was to introduce the definition, contents, and types of health-related apps; to discuss the effectiveness of self-management health-related apps in promoting chronic disease management; and to assess and evaluate these apps. We hope that the present article helps give to healthcare professionals and patients who are willing to manage their diseases a general understanding of health-related apps and their potential to facilitate the self-management of chronic diseases.

History-Based Response Threshold Model for Division of Labor in Multi-Agent Systems

PubMed Central

Lee, Wonki; Kim, DaeEun

2017-01-01

Dynamic task allocation is a necessity in a group of robots. Each member should decide its own task such that it is most commensurate with its current state in the overall system. In this work, the response threshold model is applied to a dynamic foraging task. Each robot employs a task switching function based on the local task demand obtained from the surrounding environment, and no communication occurs between the robots. Each individual member has a constant-sized task demand history that reflects the global demand. In addition, it has response threshold values for all of the tasks and manages the task switching process depending on the stimuli of the task demands. The robot then determines the task to be executed to regulate the overall division of labor. This task selection induces a specialized tendency for performing a specific task and regulates the division of labor. In particular, maintaining a history of the task demands is very effective for the dynamic foraging task. Various experiments are performed using a simulation with multiple robots, and the results show that the proposed algorithm is more effective as compared to the conventional model. PMID:28555031

NY TBO Research: Integrated Demand Management (IDM): IDM Concept, Tools, and Training Package

NASA Technical Reports Server (NTRS)

Smith, Nancy

2016-01-01

A series of human-in-the-loop simulation sessions were conducted in the Airspace Operations Laboratory (AOL) to evaluate a new traffic management concept called Integrated Demand Management (IDM). The simulation explored how to address chronic equity, throughput and delay issues associated with New Yorks high-volume airports by operationally integrating three current and NextGen capabilities the Collaborative Trajectory Options Program (CTOP), Time-Based Flow Management (TBFM) and Required Time of Arrival (RTA) in order to better manage traffic demand within the National Air Traffic System. A package of presentation slides was developed to describe the concept, tools, and training materials used in the simulation sessions. The package will be used to outbrief our stakeholders by both presenting orally and disseminating of the materials via email.

Regulating services as measures of ecological resilience on DoD lands

USGS Publications Warehouse

Angermeier, Paul; Villamagna, Amy M.

2015-01-01

Knowledge of the capacity and flow of ecosystem services can help DoD land managers make decisions that enhance cost-effectiveness, minimize environmental damage, and maximize resources available for military missions. We demonstrated a methodology to quantify and map selected regulating services (RS), which helps land managers envision tradeoffs. Our objectives were to 1) estimate current capacity of and demand for selected RS within DoD lands, 2) examine the effects of future DoD land management and climate changes on the capacity and flow of these RS, and 3) project how land-use and climate changes in nearby lands affect future demand for RS. Our approach incorporates widely accepted models and equations, remote sensing, GIS analysis, and stakeholder involvement. Required data include land cover/use, soil type, precipitation, and air temperature. We integrated data into the a) Surface Curve Number Method and b) Revised Universal Soil Loss Equation to estimate capacity of sediment, nitrogen (N) and surface-water regulation. Capacities and flows of RS vary greatly across landscapes and are likely to vary as climate changes or development occurs. Analyses of RS capacity and flow can help managers and planners prioritize actions in the context of best management practices and compatible use buffers. Staff surveys indicated that our approach was informative and easy to use. Implementation may be most limited by on-installation personnel time.

The Advantage of Standardisation as a Management Instrument in Companies

DTIC Science & Technology

2003-09-01

possible synergistic effects between different but related business units and allocate all kinds of resources in the best possible way. The management... allocating the necessary resources. This pragmatic approach corresponds to the "structure follows strategy thesis". Under the term strategy this thesis...implementation of the necessary arrangements in the functional areas as well as the allocation of existing resources. In this connection the demand for

41 CFR 101-27.101 - General.

Code of Federal Regulations, 2010 CFR

2010-07-01

... FEDERAL PROPERTY MANAGEMENT REGULATIONS SUPPLY AND PROCUREMENT 27-INVENTORY MANAGEMENT 27.1-Stock... inventory which is that portion carried to satisfy average expected demand, and safety stock which is that portion carried for protection against stock depletion occurring when demand exceeds average expected...

Integrative freight demand management in the New York City metropolitan area.

DOT National Transportation Integrated Search

2010-09-01

This project is one of the first in the world that has successfully integrated the use of remote sensing : technologyin this case Global Positioning System (GPS) enabled cell phonesas part of a system that : effectively reduces truck traffic in...

It is the economy, stupid! Projecting the fate of fish populations using ecological-economic modeling.

PubMed

Quaas, Martin F; Reusch, Thorsten B H; Schmidt, Jörn O; Tahvonen, Olli; Voss, Rudi

2016-01-01

Four marine fish species are among the most important on the world market: cod, salmon, tuna, and sea bass. While the supply of North American and European markets for two of these species - Atlantic salmon and European sea bass - mainly comes from fish farming, Atlantic cod and tunas are mainly caught from wild stocks. We address the question what will be the status of these wild stocks in the midterm future, in the year 2048, to be specific. Whereas the effects of climate change and ecological driving forces on fish stocks have already gained much attention, our prime interest is in studying the effects of changing economic drivers, as well as the impact of variable management effectiveness. Using a process-based ecological-economic multispecies optimization model, we assess the future stock status under different scenarios of change. We simulate (i) technological progress in fishing, (ii) increasing demand for fish, and (iii) increasing supply of farmed fish, as well as the interplay of these driving forces under different scenarios of (limited) fishery management effectiveness. We find that economic change has a substantial effect on fish populations. Increasing aquaculture production can dampen the fishing pressure on wild stocks, but this effect is likely to be overwhelmed by increasing demand and technological progress, both increasing fishing pressure. The only solution to avoid collapse of the majority of stocks is institutional change to improve management effectiveness significantly above the current state. We conclude that full recognition of economic drivers of change will be needed to successfully develop an integrated ecosystem management and to sustain the wild fish stocks until 2048 and beyond. © 2015 John Wiley & Sons Ltd.

Burnout and Work Demands Predict Reduced Job Satisfaction in Health Professionals Working In a Surgery Clinic

PubMed Central

Mijakoski, Dragan; Karadzinska-Bislimovska, Jovanka; Basarovska, Vera; Stoleski, Sasho; Minov, Jordan

2015-01-01

BACKGROUND: Burnout syndrome develops in health professionals (HPs) as a result of exposure to chronic emotional and interpersonal workplace stressors. Research demonstrates the links between burnout, work demands, and job satisfaction in hospital HPs. AIMS: To examine the associations between burnout, work demands and job satisfaction, and to demonstrate the mediation effect of emotional exhaustion on the relationship between work demands and job satisfaction in surgery clinic HPs. METHODS: Maslach Burnout Inventory was used for assessment of burnout. Work demands and job satisfaction were measured with Hospital Experience Scale and Job Satisfaction Survey, respectively. In order to examine the role of emotional exhaustion, depersonalization, and work demands, controlling for age, hospital tenure, and unit tenure, a hierarchical multiple regression models were tested for each job satisfaction factor. RESULTS: Job satisfaction was negatively predicted by emotional exhaustion. Certain types of work demands negatively predicted different factors of job satisfaction. Emotional exhaustion was a significant partial mediator of the relationship between work demands and job satisfaction. CONCLUSIONS: Adequate management of work demands, particularly excessive workload, time pressure, and lack of staff can lead to prevention of burnout and reduced job satisfaction in surgery clinic HPs, and contribute to better quality of patient care. PMID:27275216

NAPS as an Alertness Management Strategy

NASA Technical Reports Server (NTRS)

Rosekind, Mark R.; Smith, Roy M.; Miller, Donna L.; Co, Elizabeth L.; Gregory, Kevin B.; Gander, Philippa H.; Lebacqz, J. Victor

2001-01-01

Today, 24-hour operations are necessary to meet the demands of our society and the requirements of our industrialized global economy. These around-the-clock demands pose unique physiological challenges for the humans who remain central to safe and productive operations. Optimal alertness and performance are critical factors that are increasingly challenged by unusual, extended, or changing work/rest schedules. Technological advancements and automated systems can exacerbate the challenges faced by the human factor in these environments. Shift work, transportation demands, and continuous operations engender sleep loss and circadian disruption. Both of these physiological factors can lead to increased sleepiness, decreased performance, and a reduced margin of safety. These factors can increase vulnerability to incidents and accidents in operational settings. The consequences can have both societal effects (e.g., major destructive accidents such as Three Mile Island, Exxon Valdez, Bhopal) and personal effects (e.g., an accident driving home after a night shift).

Hospital information management system: an evolutionary knowledge management perspective.

PubMed

Wadhwa, S; Saxena, Avneet; Wadhwa, Bharat

2007-01-01

The evolving paradigm shift resulting from IT, social and technological changes has created a need for developing an innovative knowledge-based healthcare system, which can effectively meet global healthcare system demands and also cater to future trends. The Hospital Information Management System (HIMS) is developed with this sole aim in mind, which helps in processing and management of hospital information not only inside the boundary, but also beyond the hospital boundary, e.g., telemedicine or e-healthcare. The purpose of this paper is to present such kind of functional HIMS, which can efficiently satisfy the current and future system requirements by using Knowledge Management (KM) and data management systems. The HIMS is developed in a KM context, wherein users can share and use the knowledge more effectively. The proposed system is fully compatible with future technical, social, managerial and economical requirements.

Self-rostering and psychosocial work factors - a mixed methods intervention study.

PubMed

Hansen, Åse Marie; Nabe-Nielsen, Kirsten; Albertsen, Karen; Hogh, Annie; Lund, Henrik; Hvid, Helge; Garde, Anne Helene

2015-03-01

This study aims at 1) examining the effect of self-rostering on emotional demands, quantitative demands, work pace, influence, social community at work, social support from leaders and colleagues, job satisfaction, and negative acts, 2) examining whether this effect was mediated through increased influence on the scheduling of working hours, and interpreting the results in light of the different implementation processes that emerged in the study and by including qualitative data. We conducted a 12 months follow-up, quasi-experimental study of self-rostering among 28 workplaces out of which 14 served as reference workplaces. We also interviewed 26 employees and 14 managers about their expectations of introducing self-rostering. In the present study implementation of self-rostering had a positive effect on job demands and the social environment of the workplace, especially if the intervention does not comprise drastic changes of the organisation of the employees' work and private life. Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Work demands and health consequences of organizational and technological measures introduced to enhance the quality of home care services--A subgroup analysis.

PubMed

Andersen, Gunn Robstad; Bendal, Synne; Westgaard, Rolf H

2015-11-01

This study of home care workers in a Norwegian municipality aimed to examine the effect of two measures involving organizational (job checklists) and technological (personal digital assistants) job aids on perceived work demands and musculoskeletal health. Questionnaire data was collected in 2009 (n = 138, response rate 76.2%) and 2011 (n = 80, response rate 54%). Forty-six home care workers responded at both waves. Respondents were assigned into 'high', 'moderate' and 'low' strain groups based on their responses to open and closed survey questions regarding impact of the two measures. One-way ANOVA with post-hoc t-tests and regression analyses investigated group differences and examined development in variables. Perceived work demands and health effects over the two-year study period were unchanged overall, yet significant differences between subgroups were highlighted. Work demands and shoulder-neck pain remained high for high-strain workers, but were reduced for low and moderate strain workers. Management should be aware of diversity in worker responses to rationalizations and give priority to supplementary, targeted measures to counteract adverse effects. Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Tillage and residue management effects on soil carbon and nitrogen under irrigated continuous corn

USDA-ARS?s Scientific Manuscript database

Demand for corn (Zea mays L.) stover as forage or as a cellulosic biofuel has increased the importance of determining the effects of residue removal on biomass production and the soil resource. Objectives were to evaluate grain yield, soil organic carbon (SOC), and total soil N (0 to 150 cm) in a t...

A Study of Energy Management Systems and its Failure Modes in Smart Grid Power Distribution

NASA Astrophysics Data System (ADS)

Musani, Aatif

The subject of this thesis is distribution level load management using a pricing signal in a smart grid infrastructure. The project relates to energy management in a spe-cialized distribution system known as the Future Renewable Electric Energy Delivery and Management (FREEDM) system. Energy management through demand response is one of the key applications of smart grid. Demand response today is envisioned as a method in which the price could be communicated to the consumers and they may shift their loads from high price periods to the low price periods. The development and deployment of the FREEDM system necessitates controls of energy and power at the point of end use. In this thesis, the main objective is to develop the control model of the Energy Management System (EMS). The energy and power management in the FREEDM system is digitally controlled therefore all signals containing system states are discrete. The EMS is modeled as a discrete closed loop transfer function in the z-domain. A breakdown of power and energy control devices such as EMS components may result in energy con-sumption error. This leads to one of the main focuses of the thesis which is to identify and study component failures of the designed control system. Moreover, H-infinity ro-bust control method is applied to ensure effectiveness of the control architecture. A focus of the study is cyber security attack, specifically bad data detection in price. Test cases are used to illustrate the performance of the EMS control design, the effect of failure modes and the application of robust control technique. The EMS was represented by a linear z-domain model. The transfer function be-tween the pricing signal and the demand response was designed and used as a test bed. EMS potential failure modes were identified and studied. Three bad data detection meth-odologies were implemented and a voting policy was used to declare bad data. The run-ning mean and standard deviation analysis method proves to be the best method to detect bad data. An H-infinity robust control technique was applied for the first time to design discrete EMS controller for the FREEDM system.

PPO and HMO performance factors: insurance company evaluation criteria.

PubMed

Rodin, B E

1993-01-01

A venture into managed care should be done only following the proper amount of due diligence. The goal should be to select the most effective managed care organization with the flexibility to meet long-term needs and the mission to work on an ongoing basis to improve service and managed care performance. Unfortunately, all too often purchasers do not demand critical information from managed care service providers. As a result, poor quality organizations have prospered and delivered less than satisfactory results. In fact, it is not unusual that savings from discounts are more than offset by increased use of health care services because of poor utilization management. It is important to be aware that use of the appropriate selection methods and monitoring performance on an ongoing basis are best done by dedicated professionals. They are also resource intensive and require a sophisticated systems capability. Since resources and systems involve significant investment, the most appropriate course for purchasers is to play the role of educated consumers. Detailed documentation should be demanded from all potential service providers to ensure that due diligence and ongoing management are in fact performed. The health care management staff at ITT Hartford is often told by managed care vendors that few other purchasers perform thorough review. It is imperative that managed care be scrutinized at least as closely as any important business venture.

The management of cardiovascular disease in the Netherlands: analysis of different programmes

PubMed Central

Cramm, Jane M.; Tsiachristas, Apostolos; Walters, Bethany H.; Adams, Samantha A.; Bal, Roland; Huijsman, Robbert; Rutten-Van Mölken, Maureen P.M.H.; Nieboer, Anna P.

2013-01-01

Background Disease management programmes are increasingly used to improve the efficacy and effectiveness of chronic care delivery. But, disease management programme development and implementation is a complex undertaking that requires effective decision-making. Choices made in the earliest phases of programme development are crucial, as they ultimately impact costs, outcomes and sustainability. Methods To increase our understanding of the choices that primary healthcare practices face when implementing such programmes and to stimulate successful implementation and sustainability, we compared the early implementation of eight cardiovascular disease management programmes initiated and managed by healthcare practices in various regions of the Netherlands. Using a mixed-methods design, we identified differences in and challenges to programme implementation in terms of context, patient characteristics, disease management level, healthcare utilisation costs, development costs and health-related quality of life. Results Shifting to a multidisciplinary, patient-centred care pathway approach to disease management is demanding for organisations, professionals and patients, and is especially vulnerable when sustainable change is the goal. Funding is an important barrier to sustainable implementation of cardiovascular disease management programmes, although development costs of the individual programmes varied considerably in relation to the length of the development period. The large number of professionals involved in combination with duration of programme development was the largest cost drivers. While Information and Communication Technology systems to support the new care pathways did not directly contribute to higher costs, delays in implementation indirectly did. Conclusions Developing and implementing cardiovascular disease management programmes is time-consuming and challenging. Multidisciplinary, patient-centred care demands multifaceted changes in routine care. As care pathways become more complex, they also become more expensive. Better preparedness and training can prevent unnecessary delays during the implementation period and are crucial to reducing costs. PMID:24167456

The management of cardiovascular disease in the Netherlands: analysis of different programmes.

PubMed

Cramm, Jane M; Tsiachristas, Apostolos; Walters, Bethany H; Adams, Samantha A; Bal, Roland; Huijsman, Robbert; Rutten-Van Mölken, Maureen P M H; Nieboer, Anna P

2013-01-01

Disease management programmes are increasingly used to improve the efficacy and effectiveness of chronic care delivery. But, disease management programme development and implementation is a complex undertaking that requires effective decision-making. Choices made in the earliest phases of programme development are crucial, as they ultimately impact costs, outcomes and sustainability. To increase our understanding of the choices that primary healthcare practices face when implementing such programmes and to stimulate successful implementation and sustainability, we compared the early implementation of eight cardiovascular disease management programmes initiated and managed by healthcare practices in various regions of the Netherlands. Using a mixed-methods design, we identified differences in and challenges to programme implementation in terms of context, patient characteristics, disease management level, healthcare utilisation costs, development costs and health-related quality of life. Shifting to a multidisciplinary, patient-centred care pathway approach to disease management is demanding for organisations, professionals and patients, and is especially vulnerable when sustainable change is the goal. Funding is an important barrier to sustainable implementation of cardiovascular disease management programmes, although development costs of the individual programmes varied considerably in relation to the length of the development period. The large number of professionals involved in combination with duration of programme development was the largest cost drivers. While Information and Communication Technology systems to support the new care pathways did not directly contribute to higher costs, delays in implementation indirectly did. Developing and implementing cardiovascular disease management programmes is time-consuming and challenging. Multidisciplinary, patient-centred care demands multifaceted changes in routine care. As care pathways become more complex, they also become more expensive. Better preparedness and training can prevent unnecessary delays during the implementation period and are crucial to reducing costs.

Active Transportation and Demand Management (ATDM) foundational research : Analysis, Modeling, and Simulation (AMS) capabilities assessment.

DOT National Transportation Integrated Search

2013-06-01

As part of the Federal Highway Administrations (FHWAs) Active Transportation and Demand Management (ATDM) Foundational Research, this publication identifies the AMS needs to support simulated real-time and real-time analysis to evaluate the imp...

Active Transportation and Demand Management (ATDM) foundational research : Analysis, Modeling, and Simulation (AMS) Concept of Operations (CONOPS).

DOT National Transportation Integrated Search

2013-06-01

As part of the Federal Highway Administrations (FHWA) Active Transportation and Demand Management (ATDM) Foundational Research, this ATDM Analysis, Modeling and Simulation (AMS) Concept of Operations (CONOPS) provides the description of the ATDM A...

Understanding the drivers on medical workloads: an analysis of spectators at the Australian Football League.

PubMed

Zeitz, Kathryn; Haghighi, Pari Delir; Burstein, Frada; Williams, Jeffrey

2013-06-01

The present study was designed to further understand the psychosocial drivers of crowds impacting on the demand for healthcare. This involved analysing different spectator crowds for medical usage at mass gatherings; more specifically, did different football team spectators (of the Australian Football League) generate different medical usage rates. In total, 317 games were analysed from 10 venues over 2 years. Data were analysed by the ANOVA and Pearson correlation tests. RESULTS; Spectators who supported different football teams generated statistically significant differences in patient presentation rates (PPR) (F15, 618=1.998, P=0.014). The present study confirmed previous findings that there is a positive correlation between the crowd size and PPR at mass gatherings but found a negative correlation between density and PPR (r = -0.206, n=317, P<0.0005). The present study has attempted to scientifically explore psychosocial elements of crowd behaviour as a driver of demand for emergency medical care. In measuring demand for emergency medical services there is a need to develop a more sophisticated understanding of a variety of drivers in addition to traditional metrics such as temperature, crowd size and other physical elements. In this study we saw that spectators who supported different football teams generated statistically significant differences in PPR. What is known about this topic? Understanding the drivers of emergency medical care is most important in the mass gathering setting. There has been minimal analysis of psychological 'crowd' variables. What does this paper add? This study explores the psychosocial impact of supporting a different team on the PPR of spectators at Australian Football League matches. The value of collecting and analysing these types of data sets is to support more balanced planning, better decision support and knowledge management, and more effective emergency medical demand management. What are the implications for practitioners? This information further expands the body of evidence being created to understand the drivers of emergency medical demand and usage. In addition, it supports the planning and management of emergency medical and health-related requirements by increasing our understanding of the effect of elements of 'crowd' that impact on medical usage and emergency healthcare.

Scoping the common antecedents of job stress and job satisfaction for nurses (2000-2013) using the job demands-resources model of stress.

PubMed

McVicar, Andrew

2016-03-01

To identify core antecedents of job stress and job satisfaction, and to explore the potential of stress interventions to improve job satisfaction. Decreased job satisfaction for nurses is strongly associated with increased job stress. Stress management strategies might have the potential to improve job satisfaction. Comparative scoping review of studies (2000-2013) and location of their outcomes within the 'job demands-job resources' (JD-R) model of stress to identify commonalities and trends. Many, but not all, antecedents of both phenomena appeared consistently suggesting they are common mediators. Others were more variable but the appearance of 'emotional demands' as a common antecedent in later studies suggests an evolving influence of the changing work environment. The occurrence of 'shift work' as a common issue in later studies points to further implications for nurses' psychosocial well-being. Job satisfaction problems in nursing might be co-responsive to stress management intervention. Improving the buffering effectiveness of increased resilience and of prominent perceived job resource issues are urgently required. Participatory, psychosocial methods have the potential to raise job resources but will require high-level collaboration by stakeholders, and participative leadership and facilitation by managers to enable better decision-latitude, support for action planning and responsive changes. © 2015 John Wiley & Sons Ltd.

Hypnosis in palliative care: from clinical insights to the science of self-regulation.

PubMed

Landry, Mathieu; Stendel, Moriah; Landry, Michel; Raz, Amir

2018-01-01

Palliative care spans a wide-ranging spectrum: from pain-management to spiritual support. As the demand for end-of-life care increases, so does the demand for innovative, effective, interventions. Mind-body techniques seem especially advantageous in a palliative context. Here we show that hypnosis serves an excellent adjunct therapy in palliative care to boost the efficacy of standard treatments. With the overarching goal of bridging clinical and scientific insights, we outline how five core principles of hypnosis can benefit the diverse needs of palliative care.

Studying the Earth from space

USGS Publications Warehouse

,

1977-01-01

Pictures of the Earth's surface obtained from satellites are providing scientists with new tools to investigate the Earth and its environment. At the same time, a growing population and an ever-expanding technology place unprecedented demands on natural resources. Man can no longer treat his resources strictly according to immediate economic dictates; a balance must be struck between the short-term demands of technological and industrial development and the long-term effects on the environment. Intelligent development, management, and conservation of resources are goals that represent a challenge in the acquisition and use of information.

Studying the Earth from space

USGS Publications Warehouse

,

1974-01-01

Pictures of the Earth's surface obtained from satellites are providing scientists with new tools to investigate tne Earth and its environment. A growing population and an everexpanding technology place demands on our natural resources. However, man can no longer treat his resources strictly according to immediate economic dictates; a balance must be struck between the short-term demands of technological and industrial development and the long-term effects on the environment. Intelligent development, management, and conservation of resources are goals that represent an unprecedented challenge in the acquisition and use of information.

Energy plan, 1981

NASA Astrophysics Data System (ADS)

1981-12-01

The planning procedures for the energy program and policy guidelines for energy planning are presented. Future changes in marginal costs and directions indicated for economically efficient pricing are assessed. The aim of the conservation program is to close the gap between the amounts of conservation which is rationally cost effective and that projected to occur anyway through normal market forces. An overview of energy demand and proposed plans for energy supply are given. Liquid fuels have priority although work on coal receives new emphasis. A better program on energy demand and management is suggested.

The impact of demand management strategies on parents’ decision-making for out-of-hours primary care: findings from a survey in The Netherlands

PubMed Central

Giesen, Marie-Jeanne; Keizer, Ellen; van de Pol, Julia; Knoben, Joris; Wensing, Michel; Giesen, Paul

2017-01-01

Objective To explore the potential impact of demand management strategies on patient decision-making in medically non-urgent and urgent scenarios during out-of-hours for children between the ages of 0 and 4 years. Design and methods We conducted a cross-sectional survey with paper-based case scenarios. A survey was sent to all 797 parents of children aged between 0 and 4 years from four Dutch general practitioner (GP) practices. Four demand management strategies (copayment, online advice, overview medical cost and GP appointment next morning) were incorporated in two medically non-urgent and two urgent case scenarios. Combining the case scenarios with the demand management strategies resulted in 16 cases (four scenarios each with four demand management strategies). Each parent randomly received a questionnaire with three different case scenarios with three different demand strategies and a baseline case scenario without a demand management strategy. Results The response rate was 47.4%. The strategy online advice led to more medically appropriate decision-making for both non-urgent case scenarios (OR 0.26; 95% CI 0.11 to 0.58) and urgent case scenarios (OR 0.16; 95% CI 0.08 to 0.32). Overview of medical cost (OR 0.59; 95% CI 0.38 to 0.92) and a GP appointment planned the next morning (OR 0.57; 95% CI 0.34 to 0.97) had some influence on patient decisions for urgent cases, but not for non-urgent cases. Copayment had no influence on patient decisions. Conclusion Online advice has the highest potential to reduce medically unnecessary use. Furthermore it enhanced safety of parents' decisions on seeking help for their young children during out-of-hours primary care. Valid online information on health symptoms for patients should be promoted. PMID:28487458

The impact of demand management strategies on parents' decision-making for out-of-hours primary care: findings from a survey in The Netherlands.

PubMed

Giesen, Marie-Jeanne; Keizer, Ellen; van de Pol, Julia; Knoben, Joris; Wensing, Michel; Giesen, Paul

2017-05-09

To explore the potential impact of demand management strategies on patient decision-making in medically non-urgent and urgent scenarios during out-of-hours for children between the ages of 0 and 4 years. We conducted a cross-sectional survey with paper-based case scenarios. A survey was sent to all 797 parents of children aged between 0 and 4 years from four Dutch general practitioner (GP) practices. Four demand management strategies (copayment, online advice, overview medical cost and GP appointment next morning) were incorporated in two medically non-urgent and two urgent case scenarios. Combining the case scenarios with the demand management strategies resulted in 16 cases (four scenarios each with four demand management strategies). Each parent randomly received a questionnaire with three different case scenarios with three different demand strategies and a baseline case scenario without a demand management strategy. The response rate was 47.4%. The strategy online advice led to more medically appropriate decision-making for both non-urgent case scenarios (OR 0.26; CI 0.11 to 0.58) and urgent case scenarios (OR 0.16; CI 0.08 to 0.32). Overview of medical cost (OR 0.59; CI 0.38 to 0.92) and a GP appointment planned the next morning (OR 0.57; CI 0.34 to 0.97) had some influence on patient decisions for urgent cases, but not for non-urgent cases. Copayment had no influence on patient decisions. Online advice has the highest potential to reduce medically unnecessary use. Furthermore it enhanced safety of parents' decisions on seeking help for their young children during out-of-hours primary care. Valid online information on health symptoms for patients should be promoted. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

EO Underpinning the Quality of Ecosystem Services with Geospatial Data- The Case of Sustainable Forest Management

NASA Astrophysics Data System (ADS)

Crosthwaite Eyre, Charles

2010-12-01

Payments for Ecosystem Services (PES) is an exciting and expanding opportunity for sustainably managed forests. PES are derived from a range of ecosystem benefits from forests including climate change mitigation through afforestation and avoided deforestation, green power generation, wetland and watershed rehabilitation, water quality improvement, marine flood defence and the reduction in desertification and soil erosion. Forests are also the ancestral home to many vulnerable communities which need protection. Sustainable forest management plays a key role in many of these services which generates a potentially critical source of finance. However, for forests to realise revenues from these PES, they must meet demanding standards of project validation and service verification. They also need geospatial data to manage and monitor operational risk. In many cases the data is difficult to collect on the ground - in some cases impossible. This will create a new demand for data that must be impartial, timely, area wide, accurate and cost effective. This presentation will highlight the unique capacity of EO to provide these geospatial inputs required in the generation of PES from forestry and demonstrate products with practical examples.

Mining residential water and electricity demand data in Southern California to inform demand management strategies

NASA Astrophysics Data System (ADS)

Cominola, A.; Spang, E. S.; Giuliani, M.; Castelletti, A.; Loge, F. J.; Lund, J. R.

2016-12-01

Demand side management strategies are key to meet future water and energy demands in urban contexts, promote water and energy efficiency in the residential sector, provide customized services and communications to consumers, and reduce utilities' costs. Smart metering technologies allow gathering high temporal and spatial resolution water and energy consumption data and support the development of data-driven models of consumers' behavior. Modelling and predicting resource consumption behavior is essential to inform demand management. Yet, analyzing big, smart metered, databases requires proper data mining and modelling techniques, in order to extract useful information supporting decision makers to spot end uses towards which water and energy efficiency or conservation efforts should be prioritized. In this study, we consider the following research questions: (i) how is it possible to extract representative consumers' personalities out of big smart metered water and energy data? (ii) are residential water and energy consumption profiles interconnected? (iii) Can we design customized water and energy demand management strategies based on the knowledge of water- energy demand profiles and other user-specific psychographic information? To address the above research questions, we contribute a data-driven approach to identify and model routines in water and energy consumers' behavior. We propose a novel customer segmentation procedure based on data-mining techniques. Our procedure consists of three steps: (i) extraction of typical water-energy consumption profiles for each household, (ii) profiles clustering based on their similarity, and (iii) evaluation of the influence of candidate explanatory variables on the identified clusters. The approach is tested onto a dataset of smart metered water and energy consumption data from over 1000 households in South California. Our methodology allows identifying heterogeneous groups of consumers from the studied sample, as well as characterizing them with respect to consumption profiles features and socio- demographic information. Results show how such better understanding of the considered users' community allows spotting potentially interesting areas for water and energy demand management interventions.

Strategic Energy Management Plan for the Santa Ynez Band of Chumash Indians

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

Davenport, Lars; Smythe, Louisa; Sarquilla, Lindsey

2015-03-27

This plan outlines the Santa Ynez Band of Chumash Indians’ comprehensive energy management strategy including an assessment of current practices, a commitment to improving energy performance and reducing overall energy use, and recommended actions to achieve these goals. Vision Statement The primary objective of the Strategic Energy Management Plan is to implement energy efficiency, energy security, conservation, education, and renewable energy projects that align with the economic goals and cultural values of the community to improve the health and welfare of the tribe. The intended outcomes of implementing the energy plan include job creation, capacity building, and reduced energy costsmore » for tribal community members, and tribal operations. By encouraging energy independence and local power production the plan will promote self-sufficiency. Mission & Objectives The Strategic Energy Plan will provide information and suggestions to guide tribal decision-making and provide a foundation for effective management of energy resources within the Santa Ynez Band of Chumash Indians (SYBCI) community. The objectives of developing this plan include; Assess current energy demand and costs of all tribal enterprises, offices, and facilities; Provide a baseline assessment of the SYBCI’s energy resources so that future progress can be clearly and consistently measured, and current usage better understood; Project future energy demand; Establish a system for centralized, ongoing tracking and analysis of tribal energy data that is applicable across sectors, facilities, and activities; Develop a unifying vision that is consistent with the tribe’s long-term cultural, social, environmental, and economic goals; Identify and evaluate the potential of opportunities for development of long-term, cost effective energy sources, such as renewable energy, energy efficiency and conservation, and other feasible supply- and demand-side options; and Build the SYBCI’s capacity for understanding, managing, and developing energy resources by identifying training, distribution of information materials, and community meeting needs and opportunities« less

Applicability of microelectronic and mechanical systems (MEMS) for transportation infrastructure management.

DOT National Transportation Integrated Search

2008-08-11

It will be advantageous to have information on the state of health of infrastructure at all times in : order to carry out effective on-demand maintenance. With the tremendous advancement in technology, it is : possible to employ devices embedded in s...

Effect of seeding rate on organic production

USDA-ARS?s Scientific Manuscript database

Increased demand for organic rice (Oryza sativa L.) has incentivized producer conversion from conventional to organically-managed rice production in the U.S. Little is known on the impacts of seeding rate on organic rice production. A completely randomized factorial design with four replications was...

[Anesthetic management for patients with mitochondrial disease].

PubMed

Imai, Yousuke; Yamada, Yoshitsugu

2014-01-01

Mitochondrial diseases are caused by a decrease in ATP production due to mutations of mitochondrial or mitochondria-related nuclear DNA. Their effects are likely to appear in tissues with a high energy demand, including skeletal muscle, nervous, and cardiovascular systems. Cardiac manifestations of mitochondrial diseases can be divided into cardiomyopathies, which are primarily hypertrophic and dilated cardiomyopathies, and electropathies, which are primarily conduction system disease and ventricular pre-excitation. The first principle of anesthesia for patients with mitochondrial diseases is to avoid any additional burden on the already declined metabolic functions. Appropriate oxygenation, minimization of the oxygen demand, stable cardiovascular management, maintenance of a normal blood glucose level and body temperature, and effective perioperative pain control are of importance. Most anesthetics have been reported to reduce mitochondrial functions, and although enhancement of the sensitivity and prolongation of the duration of action have been reported, they are clinically used with no major problems. Detailed preoperative evaluation of the disease condition and careful intraoperative monitoring are important for the prevention of perioperative complications.

Management Options During the 2011-2012 Drought on the Apalachicola River: A Systems Dynamic Model Evaluation.

PubMed

Leitman, S; Pine, W E; Kiker, G

2016-08-01

The Apalachicola-Chattahoochee-Flint River basin (ACF) is a large watershed in the southeastern United States. In 2012, the basin experienced the second year of a severe drought and the third multi-year drought in the last 15 years. During severe droughts, low reservoir and river levels can cause economic and ecological impacts to the reservoir, river, and estuarine ecosystems. During drought, augmenting Apalachicola River discharge through upstream reservoir releases and demand management are intuitive and often-suggested solutions to minimizing downstream effects. We assessed whether the existing reservoir system could be operated to minimize drought impacts on downstream water users and ecosystems through flow augmentation. Our analysis finds that in extreme drought such as observed during 2012, increases in water releases from reservoir storage are insufficient to even increase Apalachicola River discharge to levels observed in the 2007 drought. This suggests that there is simply not enough water available in managed storage to offset extreme drought events. Because drought frequency and intensity is predicted to increase under a variety of climate forecasts, our results demonstrate the need for a critical assessment of how water managers will meet increasing water demands in the ACF. Key uncertainties that should be addressed include (1) identifying the factors that led to extremely low Flint River discharge in 2012, and (2) determining how water "saved" via demand management is allocated to storage or passed to downstream ecosystem needs as part of the ongoing revisions to the ACF Water Control Manual by the US Army Corps of Engineers.

Management Options During the 2011-2012 Drought on the Apalachicola River: A Systems Dynamic Model Evaluation

NASA Astrophysics Data System (ADS)

Leitman, S.; Pine, W. E.; Kiker, G.

2016-08-01

The Apalachicola-Chattahoochee-Flint River basin (ACF) is a large watershed in the southeastern United States. In 2012, the basin experienced the second year of a severe drought and the third multi-year drought in the last 15 years. During severe droughts, low reservoir and river levels can cause economic and ecological impacts to the reservoir, river, and estuarine ecosystems. During drought, augmenting Apalachicola River discharge through upstream reservoir releases and demand management are intuitive and often-suggested solutions to minimizing downstream effects. We assessed whether the existing reservoir system could be operated to minimize drought impacts on downstream water users and ecosystems through flow augmentation. Our analysis finds that in extreme drought such as observed during 2012, increases in water releases from reservoir storage are insufficient to even increase Apalachicola River discharge to levels observed in the 2007 drought. This suggests that there is simply not enough water available in managed storage to offset extreme drought events. Because drought frequency and intensity is predicted to increase under a variety of climate forecasts, our results demonstrate the need for a critical assessment of how water managers will meet increasing water demands in the ACF. Key uncertainties that should be addressed include (1) identifying the factors that led to extremely low Flint River discharge in 2012, and (2) determining how water "saved" via demand management is allocated to storage or passed to downstream ecosystem needs as part of the ongoing revisions to the ACF Water Control Manual by the US Army Corps of Engineers.

Safety behavior: Job demands, job resources, and perceived management commitment to safety.

PubMed

Hansez, Isabelle; Chmiel, Nik

2010-07-01

The job demands-resources model posits that job demands and resources influence outcomes through job strain and work engagement processes. We test whether the model can be extended to effort-related "routine" safety violations and "situational" safety violations provoked by the organization. In addition we test more directly the involvement of job strain than previous studies which have used burnout measures. Structural equation modeling provided, for the first time, evidence of predicted relationships between job strain and "routine" violations and work engagement with "routine" and "situational" violations, thereby supporting the extension of the job demands-resources model to safety behaviors. In addition our results showed that a key safety-specific construct 'perceived management commitment to safety' added to the explanatory power of the job demands-resources model. A predicted path from job resources to perceived management commitment to safety was highly significant, supporting the view that job resources can influence safety behavior through both general motivational involvement in work (work engagement) and through safety-specific processes.

Backcasting to identify food waste prevention and mitigation opportunities for infant feeding in maternity services.

PubMed

Ryan-Fogarty, Yvonne; Becker, Genevieve; Moles, Richard; O'Regan, Bernadette

2017-03-01

Food waste in hospitals is of major concern for two reasons: one, healthcare needs to move toward preventative and demand led models for sustainability and two, food system sustainability needs to seek preventative measures such as diet adaptation and waste prevention. The impact of breast-milk substitute use on health services are well established in literature in terms of healthcare implications, cost and resourcing, however as a food demand and waste management issue little has been published to date. This paper presents the use of a desk based backcasting method to analyse food waste prevention, mitigation and management options within the Irish Maternity Service. Best practice in healthcare provision and waste management regulations are used to frame solutions. Strategic problem orientation revealed that 61% of the volume of ready to use breast-milk substitutes purchased by maternity services remains unconsumed and ends up as waste. Thirteen viable strategies to prevent and manage this waste were identified. Significant opportunities exist to prevent waste and also decrease food demand leading to both positive health and environmental outcomes. Backcasting methods display great promise in delivering food waste management strategies in healthcare settings, especially where evidenced best practice policies exist to inform solution forming processes. In terms of food waste prevention and management, difficulties arise in distinguishing between demand reduction, waste prevention and waste reduction measures under the current Waste Management Hierarchy definitions. Ultimately demand reduction at source requires prioritisation, a strategy which is complimentary to health policy on infant feeding. Copyright © 2016 Elsevier Ltd. All rights reserved.

[Analysis on long-term compliance of anticoagulation treatment and demands of disease management in patients with atrial fibrillation].

PubMed

Zuo, Hui-juan; Su, Jiang-lian; Lin, Yun; Zeng, Zhe-chun; Wang, Jin-wen

2010-08-24

To analyze the long-term compliance of oral anticoagulant therapy and the demands of disease management in patient with atrial fibrillation (AF). Inpatients with AF taking warfarin were collected from Department of Internal Medicine from January 1 to December 31, 2008. Inpatients from departments of surgery, ophthalmology, otorhinolaryngology, dermatology and pediatrics and those on a previous warfarin therapy were excluded. The data of patient profiles, medical history and anticoagulant treatment were collected from electronic medical record. And the status of anticoagulant treatment one year later and demands of disease management were inquired by telephone. A total of 268 AF patients received a telephone survey. Among them, 145 patients (54.1%) continued taking warfarin. Gender, age, type of AF, duration of AF and history of ischemic stroke was not significantly associated with the compliance of anticoagulant treatment. The odds ratio was 1.74 (95%CI: 0.67-4.47), 0.87 (95%CI: 0.30-2.53), 1.59 (95%CI: 0.35-1.09), 1.09 (95%CI: 0.61-1.93) and 0.44 (95%CI: 0.12-1.60) respectively. Among patients on warfarin, INR was monitored monthly in 88 patients (60.7%) and 70 patients (48.3%) had an INR value of 2.0-3.0. Among 123 withdrawal patients, 88 patients (71.5%) terminated treatment within 6 month. The common reasons included patient ignorance about long-term anticoagulant treatment (35.0%) and switching to aspirin because of a poor effect (24.4%). About 80% of patients wished to obtain instructions about INR monitoring and adjustment of drug dosage. Among them, 196/268 patients (73.1%) wished for a regular follow-up. And 176/196 patients (89.8%) opted for a telephone follow-up and 150/176 patients (85.2%) wanted to receive monthly instructions. The compliance of anticoagulation treatment and the target-meeting proportion of INR value are relative low. And the common reasons of withdrawal are patient ignorance about long-term anticoagulant treatment and switching to aspirin because of a poor effect. Disease management will meet most of AF patients' demands.

Effects of Demand Response on Retail and Wholesale Power Markets

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

Chassin, David P.; Kalsi, Karanjit

2012-07-26

Demand response has grown to be a part of the repertoire of resources used by utilities to manage the balance between generation and load. In recent years, advances in communications and control technology have enabled utilities to consider continuously controlling demand response to meet generation, rather than the other way around. This paper discusses the economic applications of a general method for load resource analysis that parallels the approach used to analyze generation resources and uses the method to examine the results of the US Department of Energy’s Olympic Peninsula Demonstration Testbed. A market-based closed-loop system of controllable assets ismore » discussed with necessary and sufficient conditions on system controllability, observability and stability derived.« less

Ultimate biochemical oxygen demand in semi-intensively managed shrimp pond waters

USDA-ARS?s Scientific Manuscript database

Three independent studies were conducted to quantified ultimate biochemical oxygen demand (UBOD) and the corresponding decomposition rate constant for production pond (average 21.5 ha each) waters and effluents on six semi-intensively managed marine shrimp (Litopenaeus vannamei) farms in Honduras. S...

Developing guidelines for incorporating managing demand into WSDOT planning and programming: transportation demand management guidance for corridor planning studies.

DOT National Transportation Integrated Search

2016-02-01

The Washington State Department of Transportation (WSDOT) regional planning programs address current and forecasted deficiencies of State highways through the conduct of corridor studies. This Guidance for the conduct of corridor planning studies is ...

Development and Validation of an Automated Simulation Capability in Support of Integrated Demand Management

NASA Technical Reports Server (NTRS)

Arneson, Heather; Evans, Antony D.; Li, Jinhua; Wei, Mei Yueh

2017-01-01

Integrated Demand Management (IDM) is a near- to mid-term NASA concept that proposes to address mismatches in air traffic system demand and capacity by using strategic flow management capabilities to pre-condition demand into the more tactical Time-Based Flow Management System (TBFM). This paper describes an automated simulation capability to support IDM concept development. The capability closely mimics existing human-in-the-loop (HITL) capabilities, while automating both the human components and collaboration between operational systems, and speeding up the real-time aircraft simulations. Such a capability allows for parametric studies to be carried out that can inform the HITL simulations, identifying breaking points and parameter values at which significant changes in system behavior occur. The paper describes the initial validation of the automated simulation capability against results from previous IDM HITL experiments, quantifying the differences. The simulator is then used to explore the performance of the IDM concept under the simple scenario of a capacity constrained airport under a wide range of wind conditions.

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.

Enhanced ant colony optimization for inventory routing problem

NASA Astrophysics Data System (ADS)

Wong, Lily; Moin, Noor Hasnah

2015-10-01

The inventory routing problem (IRP) integrates and coordinates two important components of supply chain management which are transportation and inventory management. We consider a one-to-many IRP network for a finite planning horizon. The demand for each product is deterministic and time varying as well as a fleet of capacitated homogeneous vehicles, housed at a depot/warehouse, delivers the products from the warehouse to meet the demand specified by the customers in each period. The inventory holding cost is product specific and is incurred at the customer sites. The objective is to determine the amount of inventory and to construct a delivery routing that minimizes both the total transportation and inventory holding cost while ensuring each customer's demand is met over the planning horizon. The problem is formulated as a mixed integer programming problem and is solved using CPLEX 12.4 to get the lower and upper bound (best integer) for each instance considered. We propose an enhanced ant colony optimization (ACO) to solve the problem and the built route is improved by using local search. The computational experiments demonstrating the effectiveness of our approach is presented.

Charge Management Optimization for Future TOU Rates: Preprint

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

Zhang, Jiucai; Markel, Tony

2016-07-01

The effectiveness of future time of use (TOU) rates to enable managed charging for providing demand response depends on the vehicle's flexibility and the benefits to owners. This paper adopts opportunity, delayed, and smart charging methods to quantify these impacts, flexibilities, and benefits. Simulation results show that delayed and smart charging methods can shift most charging events to lower TOU rate periods without compromising the charged energy and individual driver mobility needs.

The documentation of pain management during aeromedical evacuation missions.

PubMed

Lamb, Di

2010-06-01

Modern warfare has generated a significant increase in blast injuries, which demand careful management during planning and while undertaking air transfer. Pain management following multiple injuries can be challenging even when a patient is cared for in a stationary health care setting; this is further complicated by the additional stressors of flight. This article describes health care governance initiatives implemented by the Aeromedical Evacuation Squadron, based at Royal Air Force (RAF), United Kingdom. It focuses on quality and performance improvements via a program of clinical-effectiveness auditing. Copyright (c) 2010. Published by Elsevier Inc.

Integrated modeling of water supply and demand under management options and climate change scenarios in Chifeng City, China

Treesearch

Lu Hao; Ge Sun; Yongqiang Liu; Hong Qian

2015-01-01

Water resource management is becoming increasingly challenging in northern China because of the rapid increase in water demand and decline in water supply due to climate change. We provide a case study demonstrating the importance of integrated watershed management in sustaining water resources in Chifeng City, northern China. We examine the consequences of various...

Water stress as a trigger of demand change: exploring the implications for drought planning

NASA Astrophysics Data System (ADS)

Garcia, M. E.; Islam, S.; Portney, K. E.

2015-12-01

Drought in the Anthropocene is a function of both supply and demand. Despite its importance, demand is typically incorporated into planning models exogenously using a single scenario of demand change over time. Alternatively, demand is incorporated endogenously in hydro-economic models based on the assumption of rationality. However, actors are constrained by limited information and information processing capabilities, casting doubt on the rationality assumption. Though the risk of water shortage changes incrementally with demand growth and hydrologic change, significant shifts in management are punctuated and often linked to periods of stress. The observation of lasting decreases in per capita demands in a number of cities during periods of water stress prompts an alternate hypothesis: the occurrence of water stress increases the tendency of cities to promote and enforce efficient technologies and behaviors and the tendency of users to adopt them. We show the relevance of this hypothesis by building a model of a hypothetical surface water system to answer the following question: what is the impact of reservoir operation policy on the reliability of water supply for a growing city? The model links the rate of demand decreases to the past reliability to compare standard operating policy (SOP) with hedging policy (HP). Under SOP, demand is fulfilled unless available supply drops below demand; under HP, water releases are reduced in anticipation of a deficit to decrease the risk of a large shortfall. The model shows that reservoir storage acts both as a buffer for variability and as a delay triggering oscillations around a sustainable level of demand. HP reduces the threshold for action thereby decreasing the delay and the oscillation effect. As a result per capita demand decrease during periods of water stress are more frequent but less drastic and the additive effect of small adjustments decreases the tendency of the system to overshoot available supplies.

Analysing water use patterns for demand management: the case of the city of Masvingo, Zimbabwe

NASA Astrophysics Data System (ADS)

Dube, Emmanuel; van der Zaag, Pieter

Water use in urban centres is dynamic, fluctuates, differs between high and low-income users, and tends to increase over time. Supply infrastructure can often hardly keep pace with increased water consumption. Given (a) the high cost of infrastructure development, (b) the recent emphasis on demand management, and (c) the social obligation to provide water services to the poor, urban water providers are faced with an important choice: whether to go the demand management route, or to continue constructing new infrastructure. This paper sheds light on some of the possibilities and constraints of both choices by providing a case study of the city of Masvingo in Zimbabwe. The paper analyses water use patterns in this city with a population of 70,000, located in a drought prone region of average rainfall of 600 mm/a. Water consumption has reached the limits of the water supply capacity. The paper first looks at the long-term water use pattern of the city as a whole and the factors that have caused the observed pattern using multiple linear regression. The paper then analyses the patterns of water use of rich and poor households, and attempts to assess the (im)possibilities of influencing these by means of an appropriate tariff structure. In projecting future demand, the paper then considers a number of interventions that could influence demand, which include leakage control, pressure management, awareness campaigns, free technical advice to water users, as well as a new tariff structure. It also discusses when new supply infrastructure should be available, depending on the various demand management measures taken.

Financing pharmaceuticals in transition economies.

PubMed

Kanavos, P

1999-06-01

This paper (a) provides a methodological taxonomy of pricing, financing, reimbursement, and cost containment methodologies for pharmaceuticals; (b) analyzes complex agency relationships and the health versus industrial policy tradeoff; (c) pinpoints financing measures to balance safety and effectiveness of medicines and their affordability by publicly funded systems in transition; and (d) highlights viable options for policy-makers for the financing of pharmaceuticals in transition. Three categories of measures and their implications for pharmaceutical policy cost containing are analyzed: supply-side measures, targeting manufacturers, proxy demand-side measures, targeting physicians and pharmacists, and demand-side measures, targeting patients. In pursuing supply side measures, we explore free pricing for pharmaceuticals, direct price controls, cost-plus and cost pricing, average pricing and international price comparisons, profit control, reference pricing, the introduction of a fourth hurdle, positive and negative lists, and other price control measures. The analysis of proxy-demand measures includes budgets for physicians, generic policies, practice guidelines, monitoring the authorizing behavior of physicians, and disease management schemes. Demand-side measures explore the effectiveness of patient co-payments, the impact of allowing products over-the-counter and health promotion programs. Global policies should operate simultaneously on the supply, the proxy demand, and the demand-side. Policy-making needs to have a continuous long-term planning. The importation of policies into transition economy may require extensive and expensive adaptation, and/or lead to sub-optimal policy outcomes.

Human factors evaluation of an in-vehicle active traffic and demand management (ATDM) system : final report.

DOT National Transportation Integrated Search

2016-02-15

This research study focused on the development and subsequent evaluation of an in-vehicle Active Traffic and Demand Management (ATDM) system deployed on Interstate 66 in Northern Virginia. The ATDM elements inside the vehicle allowed drivers to remai...

Prediction-based manufacturing center self-adaptive demand side energy optimization in cyber physical systems

NASA Astrophysics Data System (ADS)

Sun, Xinyao; Wang, Xue; Wu, Jiangwei; Liu, Youda

2014-05-01

Cyber physical systems(CPS) recently emerge as a new technology which can provide promising approaches to demand side management(DSM), an important capability in industrial power systems. Meanwhile, the manufacturing center is a typical industrial power subsystem with dozens of high energy consumption devices which have complex physical dynamics. DSM, integrated with CPS, is an effective methodology for solving energy optimization problems in manufacturing center. This paper presents a prediction-based manufacturing center self-adaptive energy optimization method for demand side management in cyber physical systems. To gain prior knowledge of DSM operating results, a sparse Bayesian learning based componential forecasting method is introduced to predict 24-hour electric load levels for specific industrial areas in China. From this data, a pricing strategy is designed based on short-term load forecasting results. To minimize total energy costs while guaranteeing manufacturing center service quality, an adaptive demand side energy optimization algorithm is presented. The proposed scheme is tested in a machining center energy optimization experiment. An AMI sensing system is then used to measure the demand side energy consumption of the manufacturing center. Based on the data collected from the sensing system, the load prediction-based energy optimization scheme is implemented. By employing both the PSO and the CPSO method, the problem of DSM in the manufacturing center is solved. The results of the experiment show the self-adaptive CPSO energy optimization method enhances optimization by 5% compared with the traditional PSO optimization method.

Using Seasonal Forecasts for medium-term Electricity Demand Forecasting on Italy

NASA Astrophysics Data System (ADS)

De Felice, M.; Alessandri, A.; Ruti, P.

2012-12-01

Electricity demand forecast is an essential tool for energy management and operation scheduling for electric utilities. In power engineering, medium-term forecasting is defined as the prediction up to 12 months ahead, and commonly is performed considering weather climatology and not actual forecasts. This work aims to analyze the predictability of electricity demand on seasonal time scale, considering seasonal samples, i.e. average on three months. Electricity demand data has been provided by Italian Transmission System Operator for eight different geographical areas, in Fig. 1 for each area is shown the average yearly demand anomaly for each season. This work uses data for each summer during 1990-2010 and all the datasets have been pre-processed to remove trends and reduce the influence of calendar and economic effects. The choice of focusing this research on the summer period is due to the critical peaks of demand that power grid is subject during hot days. Weather data have been included considering observations provided by ECMWF ERA-INTERIM reanalyses. Primitive variables (2-metres temperature, pressure, etc) and derived variables (cooling and heating degree days) have been averaged for summer months. A particular attention has been given to the influence of persistence of positive temperature anomaly and a derived variable which count the number of consecutive days of extreme-days has been used. Electricity demand forecast has been performed using linear and nonlinear regression methods and stepwise model selection procedures have been used to perform a variable selection with respect to performance measures. Significance tests on multiple linear regression showed the importance of cooling degree days during summer in the North-East and South of Italy with an increase of statistical significance after 2003, a result consistent with the diffusion of air condition and ventilation equipment in the last decade. Finally, using seasonal climate forecasts we evaluate the performances of electricity demand forecast performed with predicted variables on Italian regions with encouraging results on the South of Italy. This work gives an initial assessment on the predictability of electricity demand on seasonal time scale, evaluating the relevance of climate information provided by seasonal forecasts for electricity management during high-demand periods.;

Trading the Economic Value of Unsatisfied Municipal Water Demand

NASA Astrophysics Data System (ADS)

Telfah, Dua'a. B.; Minciardi, Riccardo; Roth, Giorgio

2018-06-01

Modelling and optimization techniques for water resources allocation are proposed to identify the economic value of the unsatisfied municipal water demand against demands emerging from other sectors. While this is always an important step in integrated water resource management perspective, it became crucial for water scarce Countries. In fact, since the competition for the resource is high, they are in crucial need to trade values which will help them in satisfying their policies and needs. In this framework, hydro-economic, social equity and environmental constraints need to be satisfied. In the present study, a hydro-economic decision model based on optimization schemes has been developed for water resources allocation, that enable the evaluation of the economic cost of a deficiency in fulfilling the municipal demand. Moreover, the model enables efficient water resources management, satisfying the demand and proposing additional water resources options. The formulated model is designed to maximize the demand satisfaction and minimize water production cost subject to system priorities, preferences and constraints. The demand priorities are defined based on the effect of demand dissatisfaction, while hydrogeological and physical characteristics of the resources are embedded as constraints in the optimization problem. The application to the City of Amman is presented. Amman is the Capital City of the Hashemite Kingdom of Jordan, a Country located in the south-eastern area of the Mediterranean, on the East Bank of the Jordan River. The main challenge for Jordan, that threat the development and prosperity of all sectors, is the extreme water scarcity. In fact, Jordan is classified as semi-arid to arid region with limited financial resources and unprecedented population growth. While the easy solution directly goes to the simple but expensive approach to cover the demand, case study results show that the proposed model plays a major role in providing directions to decision makers to orient their policies and strategies in order to achieve sustainability of scarce water resources, satisfaction of the minimum required demand as well as financial sustainability. In addition, results map out national needs and priorities that are crucial in understanding and controlling the complexity of Jordan's water sector, mainly for the city of Amman.

Bulk electric system reliability evaluation incorporating wind power and demand side management

NASA Astrophysics Data System (ADS)

Huang, Dange

Electric power systems are experiencing dramatic changes with respect to structure, operation and regulation and are facing increasing pressure due to environmental and societal constraints. Bulk electric system reliability is an important consideration in power system planning, design and operation particularly in the new competitive environment. A wide range of methods have been developed to perform bulk electric system reliability evaluation. Theoretically, sequential Monte Carlo simulation can include all aspects and contingencies in a power system and can be used to produce an informative set of reliability indices. It has become a practical and viable tool for large system reliability assessment technique due to the development of computing power and is used in the studies described in this thesis. The well-being approach used in this research provides the opportunity to integrate an accepted deterministic criterion into a probabilistic framework. This research work includes the investigation of important factors that impact bulk electric system adequacy evaluation and security constrained adequacy assessment using the well-being analysis framework. Load forecast uncertainty is an important consideration in an electrical power system. This research includes load forecast uncertainty considerations in bulk electric system reliability assessment and the effects on system, load point and well-being indices and reliability index probability distributions are examined. There has been increasing worldwide interest in the utilization of wind power as a renewable energy source over the last two decades due to enhanced public awareness of the environment. Increasing penetration of wind power has significant impacts on power system reliability, and security analyses become more uncertain due to the unpredictable nature of wind power. The effects of wind power additions in generating and bulk electric system reliability assessment considering site wind speed correlations and the interactive effects of wind power and load forecast uncertainty on system reliability are examined. The concept of the security cost associated with operating in the marginal state in the well-being framework is incorporated in the economic analyses associated with system expansion planning including wind power and load forecast uncertainty. Overall reliability cost/worth analyses including security cost concepts are applied to select an optimal wind power injection strategy in a bulk electric system. The effects of the various demand side management measures on system reliability are illustrated using the system, load point, and well-being indices, and the reliability index probability distributions. The reliability effects of demand side management procedures in a bulk electric system including wind power and load forecast uncertainty considerations are also investigated. The system reliability effects due to specific demand side management programs are quantified and examined in terms of their reliability benefits.

A Satellite Data-Driven, Client-Server Decision Support Application for Agricultural Water Resources Management

NASA Technical Reports Server (NTRS)

Johnson, Lee F.; Maneta, Marco P.; Kimball, John S.

2016-01-01

Water cycle extremes such as droughts and floods present a challenge for water managers and for policy makers responsible for the administration of water supplies in agricultural regions. In addition to the inherent uncertainties associated with forecasting extreme weather events, water planners need to anticipate water demands and water user behavior in a typical circumstances. This requires the use decision support systems capable of simulating agricultural water demand with the latest available data. Unfortunately, managers from local and regional agencies often use different datasets of variable quality, which complicates coordinated action. In previous work we have demonstrated novel methodologies to use satellite-based observational technologies, in conjunction with hydro-economic models and state of the art data assimilation methods, to enable robust regional assessment and prediction of drought impacts on agricultural production, water resources, and land allocation. These methods create an opportunity for new, cost-effective analysis tools to support policy and decision-making over large spatial extents. The methods can be driven with information from existing satellite-derived operational products, such as the Satellite Irrigation Management Support system (SIMS) operational over California, the Cropland Data Layer (CDL), and using a modified light-use efficiency algorithm to retrieve crop yield from the synergistic use of MODIS and Landsat imagery. Here we present an integration of this modeling framework in a client-server architecture based on the Hydra platform. Assimilation and processing of resource intensive remote sensing data, as well as hydrologic and other ancillary information occur on the server side. This information is processed and summarized as attributes in water demand nodes that are part of a vector description of the water distribution network. With this architecture, our decision support system becomes a light weight 'app' that connects to the server to retrieve the latest information regarding water demands, land use, yields and hydrologic information required to run different management scenarios. Furthermore, this architecture ensures all agencies and teams involved in water management use the same, up-to-date information in their simulations.

A satellite data-driven, client-server decision support application for agricultural water resources management

NASA Astrophysics Data System (ADS)

Maneta, M. P.; Johnson, L.; Kimball, J. S.

2016-12-01

Water cycle extremes such as droughts and floods present a challenge for water managers and for policy makers responsible for the administration of water supplies in agricultural regions. In addition to the inherent uncertainties associated with forecasting extreme weather events, water planners need to anticipate water demands and water user behavior in atypical circumstances. This requires the use decision support systems capable of simulating agricultural water demand with the latest available data. Unfortunately, managers from local and regional agencies often use different datasets of variable quality, which complicates coordinated action. In previous work we have demonstrated novel methodologies to use satellite-based observational technologies, in conjunction with hydro-economic models and state of the art data assimilation methods, to enable robust regional assessment and prediction of drought impacts on agricultural production, water resources, and land allocation. These methods create an opportunity for new, cost-effective analysis tools to support policy and decision-making over large spatial extents. The methods can be driven with information from existing satellite-derived operational products, such as the Satellite Irrigation Management Support system (SIMS) operational over California, the Cropland Data Layer (CDL), and using a modified light-use efficiency algorithm to retrieve crop yield from the synergistic use of MODIS and Landsat imagery. Here we present an integration of this modeling framework in a client-server architecture based on the Hydra platform. Assimilation and processing of resource intensive remote sensing data, as well as hydrologic and other ancillary information occur on the server side. This information is processed and summarized as attributes in water demand nodes that are part of a vector description of the water distribution network. With this architecture, our decision support system becomes a light weight `app` that connects to the server to retrieve the latest information regarding water demands, land use, yields and hydrologic information required to run different management scenarios. Furthermore, this architecture ensures all agencies and teams involved in water management use the same, up-to-date information in their simulations.

Analysis of logistic distribution performance of good supply from PT. Mentari Trans Nusantara distribution center to branches using Smart PLS 3.0

NASA Astrophysics Data System (ADS)

Endrawati, Titin; Siregar, M. Tirtana

2018-03-01

PT Mentari Trans Nusantara is a company engaged in the distribution of goods from the manufacture of the product to the distributor branch of the customer so that the product distribution must be controlled directly from the PT Mentari Trans Nusantara Center for faster delivery process. Problems often occur on the expedition company which in charge in sending the goods although it has quite extensive networking. The company is less control over logistics management. Meanwhile, logistics distribution management control policy will affect the company's performance in distributing products to customer distributor branches and managing product inventory in distribution center. PT Mentari Trans Nusantara is an expedition company which engaged in good delivery, including in Jakarta. Logistics management performance is very important due to its related to the supply of goods from the central activities to the branches based oncustomer demand. Supply chain management performance is obviously depends on the location of both the distribution center and branches, the smoothness of transportation in the distribution and the availability of the product in the distribution center to meet the demand in order to avoid losing sales. This study concluded that the company could be more efficient and effective in minimizing the risks of loses by improve its logistic management.

WET sensor performance in organic and inorganic media with heterogeneous moisture distribution

USDA-ARS?s Scientific Manuscript database

Interest in electronic monitoring of soil water has grown as increased demand for water creates a greater need for effective water management. Relatively inexpensive commercial soil water sensors that use measured dielectric properties to calculate water content, have been developed to address this...

Educational Leadership for E-Learning in the Healthcare Workplace

ERIC Educational Resources Information Center

Fahlman, Dorothy

2012-01-01

Effective educational leadership can make a difference in the resolution of complex issues that impact today's demand-driven educational marketplace. The ongoing professional and skill development needs of human health resources may be best managed through distributed strategic leadership blended with servant leadership. Together these two…

The Elementary Principal's Handbook: A Guide to Effective Action. Fourth Edition.

ERIC Educational Resources Information Center

Hughes, Larry W.; Ubben, Gerald C.

Like the three previous editions, this book is organized into three parts: "Organizational Realities and Societal Impingements,""Leadership and Management Tasks and Functions," and "Leadership Processes." However, the book's composition and substance reflect the new demands on principals. Part 1 has four chapters…

Report of CEC Study Committee on Construction Management.

ERIC Educational Resources Information Center

Consulting Engineers Council of the U.S., Washington, DC.

Changing times place new demands on those involved in the implementation of construction projects. Within a relatively few years, the size and complexity of projects has grown substantially. Environmental and other public and social considerations are increasingly significant. With growing complexity, the requirements for effective project…

Executivism and Deanship in Selected South African Universities

ERIC Educational Resources Information Center

Seale, Oliver; Cross, Michael

2018-01-01

It has been argued that traditional governance practices and decision making associated with the collegial model are no longer effective in universities, and business-like management techniques should be adopted. Dwindling resources, external demands for accountability, and increased competition for market share, have resulted in efficiency…

Full chain life cycle assessment of greenhouse gases and energy demand for canola-derived jet fuel in North Dakota, United States

USDA-ARS?s Scientific Manuscript database

The success of long-term sustainable biofuel production on agricultural lands is still questionable. To this end, we investigated the effects of crop prices on the changes of agricultural land use for biofuel canola production in three wheat crop management zones in North Dakota. The effects of cano...

Classroom-based Interventions and Teachers’ Perceived Job Stressors and Confidence: Evidence from a Randomized Trial in Head Start Settings

PubMed Central

Zhai, Fuhua; Raver, C. Cybele; Li-Grining, Christine

2011-01-01

Preschool teachers’ job stressors have received increasing attention but have been understudied in the literature. We investigated the impacts of a classroom-based intervention, the Chicago School Readiness Project (CSRP), on teachers’ perceived job stressors and confidence, as indexed by their perceptions of job control, job resources, job demands, and confidence in behavior management. Using a clustered randomized controlled trial (RCT) design, the CSRP provided multifaceted services to the treatment group, including teacher training and mental health consultation, which were accompanied by stress-reduction services and workshops. Overall, 90 teachers in 35 classrooms at 18 Head Start sites participated in the study. After adjusting for teacher and classroom factors and site fixed effects, we found that the CSRP had significant effects on the improvement of teachers’ perceived job control and work-related resources. We also found that the CSRP decreased teachers’ confidence in behavior management and had no statistically significant effects on job demands. Overall, we did not find significant moderation effects of teacher race/ethnicity, education, teaching experience, or teacher type. The implications for research and policy are discussed. PMID:21927538

Model Meets Data: Challenges and Opportunities to Implement Land Management in Earth System Models

NASA Astrophysics Data System (ADS)

Pongratz, J.; Dolman, A. J.; Don, A.; Erb, K. H.; Fuchs, R.; Herold, M.; Jones, C.; Luyssaert, S.; Kuemmerle, T.; Meyfroidt, P.

2016-12-01

Land-based demand for food and fibre is projected to increase in the future. In light of global sustainability challenges only part of this increase will be met by expansion of land use into relatively untouched regions. Additional demand will have to be fulfilled by intensification and other adjustments in management of land that already is under agricultural and forestry use. Such land management today occurs on about half of the ice-free land surface, as compared to only about one quarter that has undergone a change in land cover. As the number of studies revealing substantial biogeophysical and biogeochemical effects of land management is increasing, moving beyond land cover change towards including land management has become a key focus for Earth system modeling. However, a basis for prioritizing land management activities for implementation in models is lacking. We lay this basis for prioritization in a collaborative project across the disciplines of Earth system modeling, land system science, and Earth observation. We first assess the status and plans of implementing land management in Earth system and dynamic global vegetation models. A clear trend towards higher complexity of land use representation is visible. We then assess five criteria for prioritizing the implementation of land management activities: (1) spatial extent, (2) evidence for substantial effects on the Earth system, (3) process understanding, (4) possibility to link the management activity to existing concepts and structures of models, (5) availability of data required as model input. While the first three criteria have been assessed by an earlier study for ten common management activities, we review strategies for implementation in models and the availability of required datasets. We can thus evaluate the management activities for their performance in terms of importance for the Earth system, possibility of technical implementation in models, and data availability. This synthesis reveals some "low-hanging" fruits for model implementation, but also challenges for the assessment of land management effects by modeling. The identified gaps can guide prioritization within the data community from the Earth system and Earth system modeling perspective.

Model meets data: Challenges and opportunities to implement land management in Earth System Models

NASA Astrophysics Data System (ADS)

Pongratz, Julia; Dolman, Han; Don, Axel; Erb, Karl-Heinz; Fuchs, Richard; Herold, Martin; Jones, Chris; Luyssaert, Sebastiaan; Kuemmerle, Tobias; Meyfroidt, Patrick; Naudts, Kim

2017-04-01

Land-based demand for food and fibre is projected to increase in the future. In light of global sustainability challenges only part of this increase will be met by expansion of land use into relatively untouched regions. Additional demand will have to be fulfilled by intensification and other adjustments in management of land that already is under agricultural and forestry use. Such land management today occurs on about half of the ice-free land surface, as compared to only about one quarter that has undergone a change in land cover. As the number of studies revealing substantial biogeophysical and biogeochemical effects of land management is increasing, moving beyond land cover change towards including land management has become a key focus for Earth system modeling. However, a basis for prioritizing land management activities for implementation in models is lacking. We lay this basis for prioritization in a collaborative project across the disciplines of Earth system modeling, land system science, and Earth observation. We first assess the status and plans of implementing land management in Earth system and dynamic global vegetation models. A clear trend towards higher complexity of land use representation is visible. We then assess five criteria for prioritizing the implementation of land management activities: (1) spatial extent, (2) evidence for substantial effects on the Earth system, (3) process understanding, (4) possibility to link the management activity to existing concepts and structures of models, (5) availability of data required as model input. While the first three criteria have been assessed by an earlier study for ten common management activities, we review strategies for implementation in models and the availability of required datasets. We can thus evaluate the management activities for their performance in terms of importance for the Earth system, possibility of technical implementation in models, and data availability. This synthesis reveals some "low-hanging" fruits for model implementation, but also challenges for the assessment of land management effects by modeling. The identified gaps can guide prioritization within the data community from the Earth system and Earth system modeling perspective.

A review on technological options of waste to energy for effective management of municipal solid waste.

PubMed

Kumar, Atul; Samadder, S R

2017-11-01

Approximately one-fourth population across the world rely on traditional fuels (kerosene, natural gas, biomass residue, firewood, coal, animal dung, etc.) for domestic use despite significant socioeconomic and technological development. Fossil fuel reserves are being exploited at a very fast rate to meet the increasing energy demands, so there is a need to find alternative sources of energy before all the fossil fuel reserves are depleted. Waste to energy (WTE) can be considered as a potential alternative source of energy, which is economically viable and environmentally sustainable. The present study reviewed the current global scenario of WTE technological options (incineration, pyrolysis, gasification, anaerobic digestion, and landfilling with gas recovery) for effective energy recovery and the challenges faced by developed and developing countries. This review will provide a framework for evaluating WTE technological options based on case studies of developed and developing countries. Unsanitary landfilling is the most commonly practiced waste disposal option in the developing countries. However, developed countries have realised the potential of WTE technologies for effective municipal solid waste management (MSWM). This review will help the policy makers and the implementing authorities involved in MSWM to understand the current status, challenges and barriers for effective management of municipal solid waste. This review concluded WTE as a potential renewable source of energy, which will partly meet the energy demand and ensure effective MSWM. Copyright © 2017 Elsevier Ltd. All rights reserved.

Information Technology to Help Drive Business Innovation and Growth

NASA Astrophysics Data System (ADS)

Alonso, Igor Aguilar; Verdún, José Carrillo; Caro, Edmundo Tovar

This paper outlines how information technology (IT) can help to drive business innovation and growth. Today innovation is a key to properly managing business growth from all angles. IT governance is responsible for managing and aligning IT with the business objectives; managing strategic demand through the projects portfolio or managing operational demand through the services portfolio. IT portfolios offer the possibility of finding new opportunities to make changes and improve through innovation, enabling savings in capital expenditure and the company's IT operations staff time.

Consumers’ experiences of back pain in rural Western Australia: access to information and services, and self-management behaviours

PubMed Central

2012-01-01

Background Coordinated, interdisciplinary services, supported by self-management underpin effective management for chronic low back pain (CLBP). However, a combination of system, provider and consumer-based barriers exist which limit the implementation of such models into practice, particularly in rural areas where unique access issues exist. In order to improve health service delivery for consumers with CLBP, policymakers and service providers require a more in depth understanding of these issues. The objective of this qualitative study was to explore barriers experienced by consumers in rural settings in Western Australia (WA) to accessing information and services and implementing effective self-management behaviours for CLBP. Methods Fourteen consumers with a history of CLBP from three rural sites in WA participated. Maximum variation sampling was employed to ensure a range of experiences were captured. An interviewer, blinded to quantitative pain history data, conducted semi-structured telephone interviews using a standardised schedule to explore individuals’ access to information and services for CLBP, and self-management behaviours. Interviews were digitally recorded and transcribed verbatim. Inductive analysis techniques were used to derive and refine key themes. Results Five key themes were identified that affected individuals’ experiences of managing CLBP in a rural setting, including: 1) poor access to information and services in rural settings; 2) inadequate knowledge and skills among local practitioners; 3) feelings of isolation and frustration; 4) psychological burden associated with CLBP; and 5) competing lifestyle demands hindering effective self-management for CLBP. Conclusions Consumers in rural WA experienced difficulties in knowing where to access relevant information for CLBP and expressed frustration with the lack of service delivery options to access interdisciplinary and specialist services for CLBP. Competing lifestyle demands such as work and family commitments were cited as key barriers to adopting regular self-management practices. Consumer expectations for improved health service coordination and a workforce skilled in pain management are relevant to future service planning, particularly in the contexts of workforce capacity, community health services, and enablers to effective service delivery in primary care. PMID:23057669

Analysis of projected water availability with current basin management plan, Pajaro Valley, California

USGS Publications Warehouse

Hanson, Randall T.; Lockwood, Brian; Schmid, Wolfgang

2014-01-01

The analysis of projected supply and demand for the Pajaro Valley indicate that the current water supply facilities constructed to provide alternative local sources of supplemental water to replace coastal groundwater pumpage, but may not completely eliminate additional overdraft. The simulation of the coastal distribution system (CDS) replicates: 20 miles of conveyance pipeline, managed aquifer recharge and recovery (MARR) system that captures local runoff, and recycled-water treatment facility (RWF) from urban wastewater, along with the use of other blend water supplies, provide partial relief and substitution for coastal pumpage (aka in-lieu recharge). The effects of these Basin Management Plan (BMP) projects were analyzed subject to historical climate variations and assumptions of 2009 urban water demand and land use. Water supplied directly from precipitation, and indirectly from reuse, captured local runoff, and groundwater is necessary but inadequate to satisfy agricultural demand without coastal and regional storage depletion that facilitates seawater intrusion. These facilities reduce potential seawater intrusion by about 45% with groundwater levels in the four regions served by the CDS projected to recover to levels a few feet above sea level. The projected recoveries are not high enough to prevent additional seawater intrusion during dry-year periods or in the deeper aquifers where pumpage is greater. While these facilities could reduce coastal pumpage by about 55% of the historical 2000–2009 pumpage for these regions, and some of the water is delivered in excess of demand, other coastal regions continue to create demands on coastal pumpage that will need to be replaced to reduce seawater intrusion. In addition, inland urban and agricultural demands continue to sustain water levels below sea level causing regional landward gradients that also drive seawater intrusion. Seawater intrusion is reduced by about 45% but it supplies about 55% of the recovery of groundwater levels in the coastal regions served by the CDS. If economically feasible, water from summer agricultural runoff and tile-drain returnflows could be another potential local source of water that, if captured and reused, could offset the imbalance between supply and demand as well as reducing discharge of agricultural runoff into the National Marine Sanctuary of Monterey Bay. A BMP update (2012) identifies projects and programs that will fund a conservation program and will provide additional, alternative water sources to reduce or replace coastal and inland pumpage, and to replenish the aquifers with managed aquifer recharge in an inland portion of the Pajaro Valley.

Assessing economic tradeoffs in forest management.

Treesearch

Ernie Niemi; Ed. Whitelaw

1999-01-01

Method is described for assessing the competing demands for forest resources in a forest management plan by addressing economics values, economic impacts, and perceptions of fairness around each demand. Economics trends and forces that shape the dynamic ecosystem-economy relation are developed. The method is demonstrated through an illustrative analysis of a forest-...

DEMONSTRATION OF THE ENVIRONMENTAL AND DEMAND-SIDE MANAGEMENT BENEFITS OF GRID-CONNECTED PHOTOVOLTAIC POWER SYSTEMS

EPA Science Inventory

This study investigated the pollutant emission reduction and demand-side management potential of 16 photovoltaic (PV) systems installed across the U.S. in 1993 and 1994. The project was sponsored by the U.S. Environmental Protection Agency (EPA) and 11 electric utilities. This ar...

5 CFR 1305.3 - Procedures in the event of a demand for disclosure.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Procedures in the event of a demand for disclosure. 1305.3 Section 1305.3 Administrative Personnel OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATIVE.... (Approved by the Office of Management and Budget under control number 0348-0056) ...

Towards a New Privacy: Totalitarianism, Emotion and Management Discourse

ERIC Educational Resources Information Center

Hanley, Christopher

2013-01-01

This article reviews some leadership and management literature dealing with emotional demands in professional contexts. An image of the "real self", requiring emotional privacy, is highly valued by individuals subjected to intense emotional demands. It is argued that the "real self" and emotional privacy ought to be defended…

Energy Demand-Side Management: New Perspectives for a New Era

ERIC Educational Resources Information Center

Carley, Sanya

2012-01-01

Over the past decade and a half, state governments have assumed greater responsibility over demand-side management (DSM) operations. Whereas DSM programs formerly were initiated primarily by utilities or state public utility commissions, they are now becoming increasingly state-initiated and incentivized through funding mechanisms or…

Managing critical materials with a technology-specific stocks and flows model.

PubMed

Busch, Jonathan; Steinberger, Julia K; Dawson, David A; Purnell, Phil; Roelich, Katy

2014-01-21

The transition to low carbon infrastructure systems required to meet climate change mitigation targets will involve an unprecedented roll-out of technologies reliant upon materials not previously widespread in infrastructure. Many of these materials (including lithium and rare earth metals) are at risk of supply disruption. To ensure the future sustainability and resilience of infrastructure, circular economy policies must be crafted to manage these critical materials effectively. These policies can only be effective if supported by an understanding of the material demands of infrastructure transition and what reuse and recycling options are possible given the future availability of end-of-life stocks. This Article presents a novel, enhanced stocks and flows model for the dynamic assessment of material demands resulting from infrastructure transitions. By including a hierarchical, nested description of infrastructure technologies, their components, and the materials they contain, this model can be used to quantify the effectiveness of recovery at both a technology remanufacturing and reuse level and a material recycling level. The model's potential is demonstrated on a case study on the roll-out of electric vehicles in the UK forecast by UK Department of Energy and Climate Change scenarios. The results suggest policy action should be taken to ensure Li-ion battery recycling infrastructure is in place by 2025 and NdFeB motor magnets should be designed for reuse. This could result in a reduction in primary demand for lithium of 40% and neodymium of 70%.

Managing Critical Materials with a Technology-Specific Stocks and Flows Model

PubMed Central

2013-01-01

The transition to low carbon infrastructure systems required to meet climate change mitigation targets will involve an unprecedented roll-out of technologies reliant upon materials not previously widespread in infrastructure. Many of these materials (including lithium and rare earth metals) are at risk of supply disruption. To ensure the future sustainability and resilience of infrastructure, circular economy policies must be crafted to manage these critical materials effectively. These policies can only be effective if supported by an understanding of the material demands of infrastructure transition and what reuse and recycling options are possible given the future availability of end-of-life stocks. This Article presents a novel, enhanced stocks and flows model for the dynamic assessment of material demands resulting from infrastructure transitions. By including a hierarchical, nested description of infrastructure technologies, their components, and the materials they contain, this model can be used to quantify the effectiveness of recovery at both a technology remanufacturing and reuse level and a material recycling level. The model’s potential is demonstrated on a case study on the roll-out of electric vehicles in the UK forecast by UK Department of Energy and Climate Change scenarios. The results suggest policy action should be taken to ensure Li-ion battery recycling infrastructure is in place by 2025 and NdFeB motor magnets should be designed for reuse. This could result in a reduction in primary demand for lithium of 40% and neodymium of 70%. PMID:24328245

The mediating role of demand and control in the relationship between leadership behaviour and employee distress: a cross-sectional study.

PubMed

Lornudd, Caroline; Tafvelin, Susanne; von Thiele Schwarz, Ulrica; Bergman, David

2015-02-01

The relationship between leadership and employee distress is well established, however, the processes involved in this relationship remain largely unclear. For a stretched nursing workforce, understanding in what ways leadership may influence employee distress is particularly important. To examine possible mediating effects of the work environment factors demand and control in the relationship between leadership behaviour in change, production, and employee orientation and employee distress. Cross-sectional study design. The study was conducted at a large county council in Sweden providing both institutional and non-institutional care. A random sample of 1249 employees (primarily nurses, but also a wide range of other healthcare professionals and administrative staff), who had a healthcare manager that was about to enter a leadership development programme (n=171), responded to a web-based questionnaire. The response rate was 62%. The employees rated their healthcare managers' behaviour in change, production, and employee orientation, as well as their own perceptions of level of demand, control (subdivided into decision authority and skill discretion), and five distress outcomes. Multilevel analysis was performed. The mediators demand, decision authority, and skill discretion were significant predictors of all five distress outcomes for all three leadership orientations. In eight of 15 regressions, the mediators fully explained the relationships between leadership orientations and outcomes. Four of five relationships with distress outcomes were fully mediated for change-oriented leadership, whereas two of five outcomes were fully mediated for production- and employee-oriented leadership. In all three leadership orientations, the relationship between the mediator skill discretion and the distress measure disengagement were particularly strong, with B-coefficients (-.44, p<.001) twice as high as for any of the other relationships. It seems that the way that employees perceive healthcare managers' change-oriented behaviour, and how that aspect is related to employee distress, is primarily explained by perception of demand and control. Furthermore, regardless of leadership behaviour orientation, how employees perceive their opportunity to use specific job skills plays an important role in the interplay between perception of healthcare managers' behaviour and disengagement. Copyright © 2014 Elsevier Ltd. All rights reserved.

Optimal Multi-scale Demand-side Management for Continuous Power-Intensive Processes

NASA Astrophysics Data System (ADS)

Mitra, Sumit

With the advent of deregulation in electricity markets and an increasing share of intermittent power generation sources, the profitability of industrial consumers that operate power-intensive processes has become directly linked to the variability in energy prices. Thus, for industrial consumers that are able to adjust to the fluctuations, time-sensitive electricity prices (as part of so-called Demand-Side Management (DSM) in the smart grid) offer potential economical incentives. In this thesis, we introduce optimization models and decomposition strategies for the multi-scale Demand-Side Management of continuous power-intensive processes. On an operational level, we derive a mode formulation for scheduling under time-sensitive electricity prices. The formulation is applied to air separation plants and cement plants to minimize the operating cost. We also describe how a mode formulation can be used for industrial combined heat and power plants that are co-located at integrated chemical sites to increase operating profit by adjusting their steam and electricity production according to their inherent flexibility. Furthermore, a robust optimization formulation is developed to address the uncertainty in electricity prices by accounting for correlations and multiple ranges in the realization of the random variables. On a strategic level, we introduce a multi-scale model that provides an understanding of the value of flexibility of the current plant configuration and the value of additional flexibility in terms of retrofits for Demand-Side Management under product demand uncertainty. The integration of multiple time scales leads to large-scale two-stage stochastic programming problems, for which we need to apply decomposition strategies in order to obtain a good solution within a reasonable amount of time. Hence, we describe two decomposition schemes that can be applied to solve two-stage stochastic programming problems: First, a hybrid bi-level decomposition scheme with novel Lagrangean-type and subset-type cuts to strengthen the relaxation. Second, an enhanced cross-decomposition scheme that integrates Benders decomposition and Lagrangean decomposition on a scenario basis. To demonstrate the effectiveness of our developed methodology, we provide several industrial case studies throughout the thesis.

Mechanics of Flapping Flight: Analytical Formulations of Unsteady Aerodynamics, Kinematic Optimization, Flight Dynamics, and Control

NASA Astrophysics Data System (ADS)

Taneja, Jayant Kumar

Electricity is an indispensable commodity to modern society, yet it is delivered via a grid architecture that remains largely unchanged over the past century. A host of factors are conspiring to topple this dated yet venerated design: developments in renewable electricity generation technology, policies to reduce greenhouse gas emissions, and advances in information technology for managing energy systems. Modern electric grids are emerging as complex distributed systems in which a portfolio of power generation resources, often incorporating fluctuating renewable resources such as wind and solar, must be managed dynamically to meet uncontrolled, time-varying demand. Uncertainty in both supply and demand makes control of modern electric grids fundamentally more challenging, and growing portfolios of renewables exacerbate the challenge. We study three electricity grids: the state of California, the province of Ontario, and the country of Germany. To understand the effects of increasing renewables, we develop a methodology to scale renewables penetration. Analyzing these grids yields key insights about rigid limits to renewables penetration and their implications in meeting long-term emissions targets. We argue that to achieve deep penetration of renewables, the operational model of the grid must be inverted, changing the paradigm from load-following supplies to supply-following loads. To alleviate the challenge of supply-demand matching on deeply renewable grids, we first examine well-known techniques, including altering management of existing supply resources, employing utility-scale energy storage, targeting energy efficiency improvements, and exercising basic demand-side management. Then, we create several instantiations of supply-following loads -- including refrigerators, heating and cooling systems, and laptop computers -- by employing a combination of sensor networks, advanced control techniques, and enhanced energy storage. We examine the capacity of each load for supply-following and study the behaviors of populations of these loads, assessing their potential at various levels of deployment throughout the California electricity grid. Using combinations of supply-following strategies, we can reduce peak natural gas generation by 19% on a model of the California grid with 60% renewables. We then assess remaining variability on this deeply renewable grid incorporating supply-following loads, characterizing additional capabilities needed to ensure supply-demand matching in future sustainable electricity grids.

Global biomass production potentials exceed expected future demand without the need for cropland expansion

PubMed Central

Mauser, Wolfram; Klepper, Gernot; Zabel, Florian; Delzeit, Ruth; Hank, Tobias; Putzenlechner, Birgitta; Calzadilla, Alvaro

2015-01-01

Global biomass demand is expected to roughly double between 2005 and 2050. Current studies suggest that agricultural intensification through optimally managed crops on today's cropland alone is insufficient to satisfy future demand. In practice though, improving crop growth management through better technology and knowledge almost inevitably goes along with (1) improving farm management with increased cropping intensity and more annual harvests where feasible and (2) an economically more efficient spatial allocation of crops which maximizes farmers' profit. By explicitly considering these two factors we show that, without expansion of cropland, today's global biomass potentials substantially exceed previous estimates and even 2050s' demands. We attribute 39% increase in estimated global production potentials to increasing cropping intensities and 30% to the spatial reallocation of crops to their profit-maximizing locations. The additional potentials would make cropland expansion redundant. Their geographic distribution points at possible hotspots for future intensification. PMID:26558436

Global biomass production potentials exceed expected future demand without the need for cropland expansion.

PubMed

Mauser, Wolfram; Klepper, Gernot; Zabel, Florian; Delzeit, Ruth; Hank, Tobias; Putzenlechner, Birgitta; Calzadilla, Alvaro

2015-11-12

Global biomass demand is expected to roughly double between 2005 and 2050. Current studies suggest that agricultural intensification through optimally managed crops on today's cropland alone is insufficient to satisfy future demand. In practice though, improving crop growth management through better technology and knowledge almost inevitably goes along with (1) improving farm management with increased cropping intensity and more annual harvests where feasible and (2) an economically more efficient spatial allocation of crops which maximizes farmers' profit. By explicitly considering these two factors we show that, without expansion of cropland, today's global biomass potentials substantially exceed previous estimates and even 2050s' demands. We attribute 39% increase in estimated global production potentials to increasing cropping intensities and 30% to the spatial reallocation of crops to their profit-maximizing locations. The additional potentials would make cropland expansion redundant. Their geographic distribution points at possible hotspots for future intensification.

Reservoirs operation and water resources utilization coordination in Hongshuihe basin

NASA Astrophysics Data System (ADS)

Li, Chonghao; Chi, Kaige; Pang, Bo; Tang, Hongbin

2018-06-01

In the recent decade, the demand for water resources has been increasing with the economic development. The reservoirs of cascade hydropower stations in Hongshuihe basin, which are constructed with a main purpose of power generation, are facing more integrated water resources utilization problem. The conflict between power generation of cascade reservoirs and flood control, shipping, environmental protection and water supply has become increasingly prominent. This paper introduces the general situation and integrated water demand of cascade reservoirs in Hongshuihe basin, and it analyses the impact of various types of integrated water demand on power generation and supply. It establishes mathematic models, constrained by various types of integrated water demand, to guide the operation and water resources utilization management of cascade reservoirs in Hongshuihe basin. Integrated water coordination mechanism of Hongshuihe basin is also introduced. It provides a technical and management guide and demonstration for cascade reservoirs operation and integrated water management at home and abroad.

Economics of hardwood silviculture using skyline and conventional logging

Treesearch

John E. Baumgras; Gary W. Miller; Chris B. LeDoux

1995-01-01

Managing Appalachian hardwood forests to satisfy the growing and diverse demands on this resource will require alternatives to traditional silvicultural methods and harvesting systems. Determining the relative economic efficiency of these alternative methods and systems with respect to harvest cash flows is essential. The effects of silvicultural methods and roundwood...

Application of software for automated canal management (SacMan) to the WM lateral canal

USDA-ARS?s Scientific Manuscript database

Simulation studies have demonstrated that automatic control of canals is more effective when feedforward scheduling, or routing of know demand changes, is combined with centralized, automatic, distant, downstream-water-level control. In practice, few canals use this approach. To help further develop...

Learning Programmes for Environmental Sustainability: A Different Approach to Curriculum Design

ERIC Educational Resources Information Center

Zietsman, S.; Pretorius, R. W.

2006-01-01

Environmental management in South Africa is constrained by a lack of capacity for effective stakeholder engagement and environmental decision-making. The country's excellent environmental legislation demands that environmental professionals be appropriately trained at the higher education level. To this end, a Bachelors level learning programme in…

The Effect of Jail Reform Policies on Guard/Management Relations.

ERIC Educational Resources Information Center

Pogrebin, Mark

1987-01-01

Interviewed 60 jail corrections officers in four types of jails to examine views about working relations and judgments of institutional policy. Respondents reported feeling unappreciated by superiors and powerless in relation to inmates. Officers were caught between administration demands for safety and recently acquired rights of inmates. (NB)

Effects of biochar amendment and fertilizer sources on serrano chili pepper yield, uptake, and nitrogen fate

USDA-ARS?s Scientific Manuscript database

Efficient nitrogen (N) management strategies are a key approach in addressing the increase of food demand and environmental protection. Failing to achieve adequate nitrogen use efficiency (NUE) in agricultural systems can cause damaging outcomes including degradative water quality, increase in green...

Decision Making for the Environment: Social and Behavioral Science Research Priorities

ERIC Educational Resources Information Center

Brewer, Garry D., Ed.; Stern, Paul C., Ed.

2005-01-01

With the growing number, complexity, and importance of environmental problems come demands to include a full range of intellectual disciplines and scholarly traditions to help define and eventually manage such problems more effectively. "Decision Making for the Environment: Social and Behavioral Science Research Priorities" is the result…

Advanced Interactive Web Technologies in Industry Training.

ERIC Educational Resources Information Center

Vassileva, Tania; Astinov, Ilario; Bojkov, Dimitar; Tchoumatchenko, Vassiliy; Scholten, Ulrich; Furnadziev, Ivan

Today, faced with the problems of global competition, increasing costs, and complex production engineering, a company can only be successfully managed if the employees are motivated and highly qualified. To cope with this demand the new educational scheme for cost-effective retraining, lifelong learning and distance education at the workplace…

Stress and Performance: Effects of Subjective Work Load and Time Urgency.

ERIC Educational Resources Information Center

Friend, Kenneth E.

1982-01-01

Measured subjective work load, time urgency, and other stress/motivation variables for management personnel taking a demanding problem-solving exam. Data suggest increases in psychological stresses like subjectively high work load and time urgency uniformly impair performance across the whole range of these variables. (Author)

Integrating Corporate Social Responsibility Awareness into a Retail Management Course

ERIC Educational Resources Information Center

Beitelspacher, Lauren; Rodgers, Vikki L.

2018-01-01

Both students and industry are demanding that marketing instructors incorporate discussions of environmental and social responsibility into their courses. Marketing educators play a critical role in developing the knowledge and skills students need to effectively integrate corporate social responsibility (CSR) into their future business endeavors.…

Who Is Afraid of Math? Two Sources of Genetic Variance for Mathematical Anxiety

ERIC Educational Resources Information Center

Wang, Zhe; Hart, Sara Ann; Kovas, Yulia; Lukowski, Sarah; Soden, Brooke; Thompson, Lee A.; Plomin, Robert; McLoughlin, Grainne; Bartlett, Christopher W.; Lyons, Ian M.; Petrill, Stephen A.

2014-01-01

Background: Emerging work suggests that academic achievement may be influenced by the management of affect as well as through efficient information processing of task demands. In particular, mathematical anxiety has attracted recent attention because of its damaging psychological effects and potential associations with mathematical problem solving…

Management of common variable immunodeficiency by subcutaneous IgG self-administration during pregnancy - a case report.

PubMed

Marasco, Carolina; Venturelli, Alberta; Rao, Luigia; Vacca, Angelo; Carratù, Maria Rosaria

2017-08-01

Patients with common variable immunodeficiency are prone to infections, and this poses a particular challenge during pregnancy, when the requirement for immunoglobulin (Ig) replacement therapy is even more demanding so as to achieve an effective protection also of the fetus. This case report highlights the benefits observed with subcutaneous IgG self-administration in the management of common variable immunodeficiency (CVID) during pregnancy, in terms of efficacy and safety.

Meeting the information system demands of the future through outsourcing.

PubMed

Goldman, S J

1994-05-01

As managed care organizations work to meet the rigorous data and information requirements of a rapidly evolving health care system, many are recognizing the need to out-source their computer operations. Developing a cost-effective, efficient approach to outsourcing is a challenge to many organizations. This article offers an in-depth view of outsourcing as it relates to the managed health care industry as well as criteria for selecting an outsourcing consultant or vendor.

Analysis of long-term climate change on per capita water demand in urban versus suburban areas in the Portland metropolitan area, USA

NASA Astrophysics Data System (ADS)

Parandvash, G. Hossein; Chang, Heejun

2016-07-01

We investigated the impacts of long-term climate variability and change on per capita water demand in urban and suburban service areas that have different degrees of development density in the Portland metropolitan area, USA. Together with historical daily weather and water production data, socioeconomic data such as population and unemployment rate were used to estimate daily per capita water demand in the two service areas. The structural time series regression model results show that the sensitivity of per capita water demand to both weather and unemployment rate variables is higher in suburban areas than in urban areas. This is associated with relatively higher proportional demand by the residential sector in the suburban area. The estimated coefficients of the historical demand model were used to project the mid-21st century (2035-2064) per capita water demand under three climate change scenarios that represent high (HadGEM2-ES), medium (MIROC5), and low (GFDL) climate changes. Without climate adaptation, compared to the historical period between 1983 and 2012, per capita water demand is projected to increase by 10.6% in the 2035-2064 period under the HadGEM2-ES in suburban areas, while per capita demand is projected to increase by 4.8% under the same scenario in urban areas. Our findings have implications for future urban water resource management and land use planning in the context of climate variability and change. A tight integration between water resource management and urban planning is needed for preparing for climate adaptation in municipal water planning and management.

Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management

NASA Astrophysics Data System (ADS)

Berardino, Jonathan

In recent years there has been a push in the electric power industry for more customer involvement in the electricity markets. Traditionally the end user has played a passive role in the planning and operation of the power grid. However, many energy markets have begun opening up opportunities to consumers who wish to commit a certain amount of their electrical load under various demand side management programs. The potential benefits of more demand participation include reduced operating costs and new revenue opportunities for the consumer, as well as more reliable and secure operations for the utilities. The management of these load resources creates challenges and opportunities to the end user that were not present in previous market structures. This work examines the behavior of commercial-type building electrical loads and their capacity for supporting demand side management actions. This work is motivated by the need for accurate and dynamic tools to aid in the advancement of demand side operations. A dynamic load model is proposed for capturing the response of controllable building loads. Building-specific load forecasting techniques are developed, with particular focus paid to the integration of building management system (BMS) information. These approaches are tested using Drexel University building data. The application of building-specific load forecasts and dynamic load modeling to the optimal scheduling of multi-building systems in the energy market is proposed. Sources of potential load uncertainty are introduced in the proposed energy management problem formulation in order to investigate the impact on the resulting load schedule.

The effects of unit pricing system upon household solid waste management: The Korean experience

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

Hong, S.

1999-09-01

Initial effects of adoption of a unit pricing system paired with aggressive recycling programs appear to be substantial. This paper explores the impact of price incentives under the unit pricing system on household solid waste generation and recycling in Korea. The author employs a simultaneous equation model considering the feedback effects between total waste generation and recycling. Estimation results using 3017 Korean household survey data indicate that a rise in waste collection fee induces households to recycle more wastes. However, this effect is partially offset by decreases in source-reduction efforts due to the feedback effects, resulting in relatively lower pricemore » elasticity of demand for solid waste collection services. This implies that household demand for solid waste collection services will not decrease much with additional increases in the collection fee, unless further recycling incentives such as more frequent recyclable pickup services are accompanied.« less

Crisis management systems: staff nurses demand more support from their supervisors.

PubMed

Tzeng, Huey-Ming; Yin, Chang-Yi

2008-08-01

This study illustrates the contributions of the necessity, comprehensiveness, and difference (between necessity and comprehensiveness) levels of crisis management systems to participants' general satisfaction with their working institutions' nursing-related crisis management activities. Crisis management systems include strategic, technical/structural, assessment, public communication, and psychological/cultural aspects. An effective institutional crisis management system might help to decrease the number of incidents related to medical disputes or to prevent a crisis from worsening and becoming disastrous. A cross-sectional survey was administered during a nursing conference held in Taipei, Taiwan, on June 27, 2005. Two hundred ninety questionnaires were distributed, and 121 were retrieved (response rate, 41.7%; nursing administrators and staff). Univariate and multivariate analyses were performed. Ordinal logistic regression analyses show that being a public hospital managed by the government and having more difference on the strategic aspect between the necessity and comprehensiveness levels contribute to lower satisfaction with nursing-related crisis management activities (Nagelkerke R(2) = .441). In addition, staff nurses perceive higher necessity levels on all five aspects compared to nursing administrators. This study provides important insights into how the policies and activities of a medical institution's crisis management system can be prioritized and implemented. It is also important for students in nursing programs and for currently employed nurses to learn how to manage disputes related to nursing practice, so that early resolution can be achieved and crises can be avoided. These results suggest that staff nurses demand more support from their supervisors.

DEMONSTRATION OF THE ENVIRONMENTAL AND DEMAND-SIDE MANAGEMENT BENEFITS OF GRID-CONNECTED PHOTOVOLTAIC POWER SYSTEMS SITED ON MILITARY BASES

EPA Science Inventory

The report gives results of an investigation into the pollutant emission reduction and demand-side management potential of three photovoltaic (PV) systems installed at Ft. Huachuca, AZ, Ft. Dix, NJ, and Hickam Air Force Base, HI, which began operation between January and July 199...

DEMONSTRATION OF THE ENVIRONMENTAL AND DEMAND-SIDE MANAGEMENT BENEFITS OF GRID-CONNECTED PHOTOVOLTAIC POWER SYSTEMS

EPA Science Inventory

The report gives results of an investigation of the pollutant emission reduction and demand-side management potential of 16 photovoltaic (PV) systems installed across the U.S. in 1993 and 1994. The investigation was sponsored by the U.S. EPA and 11 electric utilities. The report ...

Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation summary for DMA program.

DOT National Transportation Integrated Search

2017-07-04

The primary objective of this project is to develop multiple simulation testbeds/transportation models to evaluate the impacts of Dynamic Mobility Application (DMA) connected vehicle applications and Active Transportation and Demand management (ATDM)...

Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs : summary report for the Chicago testbed.

DOT National Transportation Integrated Search

2017-04-01

The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strateg...

Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the Chicago Testbed

DOT National Transportation Integrated Search

2017-04-01

The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strateg...

Role Management Strategies of Beginning Teachers in Hong Kong

ERIC Educational Resources Information Center

Choi, Pik Lin; Tang, Sylvia Yee Fan

2005-01-01

Beginning teachers encounter new challenges as the role system in contemporary society has become more and more demanding. By means of the life history method, role management strategies of four Hong Kong beginning teachers employed to cope with role demands and intra-role conflicts were located in their biographical, workplace and wider…

Travel demand management : a toolbox of strategies to reduce single\\0x2010occupant vehicle trips and increase alternate mode usage in Arizona.

DOT National Transportation Integrated Search

2012-02-01

The report provides a suite of recommended strategies to reduce single-occupant vehicle traffic in the urban : areas of Phoenix and Tucson, Arizona, which are presented as a travel demand management toolbox. The : toolbox includes supporting research...

Teaching and Managing: Conflicting Roles of the Department Chair.

ERIC Educational Resources Information Center

Hoffman, Susan; And Others

Community college department chairs are called upon to be colleagues and peers, managers, and teachers, with duties and responsibilities that are usually far more complex and demanding than any college document can convey. As a result of the demands of the position, department chairs may experience role conflict or strain. Role conflicts are…

Stress Management: A Handbook for Air Force Managers.

DTIC Science & Technology

1986-09-01

or physiological/psychological needs which become internal demands. 3-4 Stage 2. Imbalance is the person’s perception of both the demand and his...worker a sense of having more control over his worklife . It isn’t always possible to accomodate everyone’s shift desires and still meet production

Considerations for restoring temperate forests of tomorrow: Forest restoration, assisted migration, and bioengineering

Treesearch

Kas Dumroese; Mary I. Williams; John A. Stanturf; Brad St. Clair

2015-01-01

Tomorrow’s forests face extreme pressures from contemporary climate change, invasive pests, and anthropogenic demands for other land uses. These pressures, collectively, demand land managers to reassess current and potential forest management practices. We discuss three considerations, functional restoration, assisted migration, and bioengineering, which are currently...

Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation report for ATDM program.

DOT National Transportation Integrated Search

2017-07-16

The primary objective of this project is to develop multiple simulation testbeds/transportation models to evaluate the impacts of Dynamic Mobility Applications (DMA) and the Active Transportation and Demand Management (ATDM) strategies. Specifically,...

Notification: Follow-Up on OIG Report 12-P-0417, Weaknesses in EPA’s Management of the Radiation Network System Demand Attention

EPA Pesticide Factsheets

Project #OPE-FY14-0010, January 2, 2014. The EPA OIG is beginning preliminary research on the EPA's actions to address the recommendations in the Apr 19, 2012, OIG Report, Weaknesses in EPA's Management of the Radiation Network System Demand Attention.

Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - Pasadena calibration report : draft report.

DOT National Transportation Integrated Search

2017-03-01

The primary objective of this project is to develop multiple simulation testbeds/transportation models to evaluate the impacts of DMA connected vehicle applications and the active transportation and demand management (ATDM) strategies. The primary pu...

Development and Validation of an Automated Simulation Capability in Support of Integrated Demand Management

NASA Technical Reports Server (NTRS)

Arneson, Heather; Evans, Antony D.; Li, Jinhua; Wei, Mei Yueh

2017-01-01

Integrated Demand Management (IDM) is a near- to mid-term NASA concept that proposes to address mismatches in air traffic system demand and capacity by using strategic flow management capabilities to pre-condition demand into the more tactical Time-Based Flow Management System (TBFM). This paper describes an automated simulation capability to support IDM concept development. The capability closely mimics existing human-in-the-loop (HITL) capabilities, automating both the human components and collaboration between operational systems, and speeding up the real-time aircraft simulations. Such a capability allows for parametric studies that will inform the HITL simulations, identifying breaking points and parameter values at which significant changes in system behavior occur. This paper also describes the initial validation of individual components of the automated simulation capability, and an example application comparing the performance of the IDM concept under two TBFM scheduling paradigms. The results and conclusions from this simulation compare closely to those from previous HITL simulations using similar scenarios, providing an initial validation of the automated simulation capability.

On inclusion of water resource management in Earth system models - Part 1: Problem definition and representation of water demand

NASA Astrophysics Data System (ADS)

Nazemi, A.; Wheater, H. S.

2015-01-01

Human activities have caused various changes to the Earth system, and hence the interconnections between human activities and the Earth system should be recognized and reflected in models that simulate Earth system processes. One key anthropogenic activity is water resource management, which determines the dynamics of human-water interactions in time and space and controls human livelihoods and economy, including energy and food production. There are immediate needs to include water resource management in Earth system models. First, the extent of human water requirements is increasing rapidly at the global scale and it is crucial to analyze the possible imbalance between water demands and supply under various scenarios of climate change and across various temporal and spatial scales. Second, recent observations show that human-water interactions, manifested through water resource management, can substantially alter the terrestrial water cycle, affect land-atmospheric feedbacks and may further interact with climate and contribute to sea-level change. Due to the importance of water resource management in determining the future of the global water and climate cycles, the World Climate Research Program's Global Energy and Water Exchanges project (WRCP-GEWEX) has recently identified gaps in describing human-water interactions as one of the grand challenges in Earth system modeling (GEWEX, 2012). Here, we divide water resource management into two interdependent elements, related firstly to water demand and secondly to water supply and allocation. In this paper, we survey the current literature on how various components of water demand have been included in large-scale models, in particular land surface and global hydrological models. Issues of water supply and allocation are addressed in a companion paper. The available algorithms to represent the dominant demands are classified based on the demand type, mode of simulation and underlying modeling assumptions. We discuss the pros and cons of available algorithms, address various sources of uncertainty and highlight limitations in current applications. We conclude that current capability of large-scale models to represent human water demands is rather limited, particularly with respect to future projections and coupled land-atmospheric simulations. To fill these gaps, the available models, algorithms and data for representing various water demands should be systematically tested, intercompared and improved. In particular, human water demands should be considered in conjunction with water supply and allocation, particularly in the face of water scarcity and unknown future climate.

Potential Effects of Wood Chip Mill Harvests on Economic Returns and Forest Management Practices of Nonindustrial Private Forest Landowners in North Carolina

Treesearch

Anthony Snider; Frederick Cubbage; Robert Moulton

2001-01-01

Four approaches were used to estimate the market effects of wood chip mills for nonindustrial private forest (NIPF) landowners. First, we used economic welfare analyses to estimate potential changes in consumer and producer surplus that might be attributed to increased stumpage demand created by wood chip mills. Better markets would consistently increase economic...

Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: a case study in pharmaceutical industry

NASA Astrophysics Data System (ADS)

Izadi, Arman; Kimiagari, Ali mohammad

2014-01-01

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location-allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of distribution centers and to determine the allocation of customer demands to distribution centers. The main feature of this research is solving the model with unknown demand function which is suitable with the real-world problems. To consider the uncertainty, a set of possible scenarios for customer demands is created based on the Monte Carlo simulation. The coefficient of variation of costs is mentioned as a measure of risk and the most stable structure for firm's distribution network is defined based on the concept of robust optimization. The best structure is identified using genetic algorithms and 14% reduction in total supply chain costs is the outcome. Moreover, it imposes the least cost variation created by fluctuation in customer demands (such as epidemic diseases outbreak in some areas of the country) to the logistical system. It is noteworthy that this research is done in one of the largest pharmaceutical distribution firms in Iran.

Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: a case study in pharmaceutical industry

NASA Astrophysics Data System (ADS)

Izadi, Arman; Kimiagari, Ali Mohammad

2014-05-01

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location-allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of distribution centers and to determine the allocation of customer demands to distribution centers. The main feature of this research is solving the model with unknown demand function which is suitable with the real-world problems. To consider the uncertainty, a set of possible scenarios for customer demands is created based on the Monte Carlo simulation. The coefficient of variation of costs is mentioned as a measure of risk and the most stable structure for firm's distribution network is defined based on the concept of robust optimization. The best structure is identified using genetic algorithms and 14 % reduction in total supply chain costs is the outcome. Moreover, it imposes the least cost variation created by fluctuation in customer demands (such as epidemic diseases outbreak in some areas of the country) to the logistical system. It is noteworthy that this research is done in one of the largest pharmaceutical distribution firms in Iran.

Interactions between striped bass and other gamefish in reservoirs

USGS Publications Warehouse

Miranda, Leandro E.; Raborn, Scott W.

2013-01-01

Competitive interactions among reservoir fishes may be pronounced because fish assemblages in these artificial environments have had little time to develop niche-partitioning strategies that alleviate negative interspecific interactions. Such interactions may at times have been intensified by introductions of predators such as striped bass Morone saxatilis, introduced to create additional fisheries and control pelagic clupeids. Possible interactions between existing fish assemblages and striped bass include predation and competition. While there is a perception among angler groups that predation by striped bass on co-existing game fish is significant, most studies have reported little or no predation on game fish my striped bass and have considered predation rare and inconsequential. Moreover, predation that occurs will likely be compensatory and fail to reduce overall game fish survival. Any indirect effect of striped bass predation by restricting prey-sized game fish to limited refuge sites remains unknown. Exploitative competition may be more common. Although infrequently, introduced striped bass have depleted prey resources shared with other piscivores, particularly when stocking rates have been high, when there is a high rate of natural reproduction, or when prey supply has plunged in response to environmental fluxes. Fluctuation in prey supply, associated with ordinary environmental variability, and associated time lages in prey supply and predator demand, preclude adjusting predator densities to exactly balance demand with supply. The frequency of low supply-demand rations varies across systems and exhibits seasonal trends. Nevertheless, chronic supply-demand imbalances are manageable where the predator assemblage is at least partially controlled through stocking, harvest regulations, or both. Because of the poor state of knowledge concerning the parameters defining balance and because uncontrollable annual fluctuations preclude exact management of alternating prey levels, we suggest adjusting stocking to manage demand to that it equals the median historical prey supply. Simulating the removal of striped bass and predicting the aftermath may be the most cost-efficient way to provide decision support for stakeholders involved in determining if a striped bass stocking program is beneficial to most users.

A spatial analysis of hierarchical waste transport structures under growing demand.

PubMed

Tanguy, Audrey; Glaus, Mathias; Laforest, Valérie; Villot, Jonathan; Hausler, Robert

2016-10-01

The design of waste management systems rarely accounts for the spatio-temporal evolution of the demand. However, recent studies suggest that this evolution affects the planning of waste management activities like the choice and location of treatment facilities. As a result, the transport structure could also be affected by these changes. The objective of this paper is to study the influence of the spatio-temporal evolution of the demand on the strategic planning of a waste transport structure. More particularly this study aims at evaluating the effect of varying spatial parameters on the economic performance of hierarchical structures (with one transfer station). To this end, three consecutive generations of three different spatial distributions were tested for hierarchical and non-hierarchical transport structures based on costs minimization. Results showed that a hierarchical structure is economically viable for large and clustered spatial distributions. The distance parameter was decisive but the loading ratio of trucks and the formation of clusters of sources also impacted the attractiveness of the transfer station. Thus the territories' morphology should influence strategies as regards to the installation of transfer stations. The use of spatial-explicit tools such as the transport model presented in this work that take into account the territory's evolution are needed to help waste managers in the strategic planning of waste transport structures. © The Author(s) 2016.

Automated Demand Response Approaches to Household Energy Management in a Smart Grid Environment

NASA Astrophysics Data System (ADS)

Adika, Christopher Otieno

The advancement of renewable energy technologies and the deregulation of the electricity market have seen the emergence of Demand response (DR) programs. Demand response is a cost-effective load management strategy which enables the electricity suppliers to maintain the integrity of the power grid during high peak periods, when the customers' electrical load is high. DR programs are designed to influence electricity users to alter their normal consumption patterns by offering them financial incentives. A well designed incentive-based DR scheme that offer competitive electricity pricing structure can result in numerous benefits to all the players in the electricity market. Lower power consumption during peak periods will significantly enhance the robustness of constrained networks by reducing the level of power of generation and transmission infrastructure needed to provide electric service. Therefore, this will ease the pressure of building new power networks as we avoiding costly energy procurements thereby translating into huge financial savings for the power suppliers. Peak load reduction will also reduce the inconveniences suffered by end users as a result of brownouts or blackouts. Demand response will also drastically lower the price peaks associated with wholesale markets. This will in turn reduce the electricity costs and risks for all the players in the energy market. Additionally, DR is environmentally friendly since it enhances the flexibility of the power grid through accommodation of renewable energy resources. Despite its many benefits, DR has not been embraced by most electricity networks. This can be attributed to the fact that the existing programs do not provide enough incentives to the end users and, therefore, most electricity users are not willing to participate in them. To overcome these challenges, most utilities are coming up with innovative strategies that will be more attractive to their customers. Thus, this dissertation presents various demand response schemes that can be deployed by electricity providers to manage customer loads. This study also addresses the problem of manual demand response by proposing smart systems that will autonomously execute the DR programs without the direct involvement of the customers.

Compounded effects of heat waves and droughts over the Western Electricity Grid: spatio-temporal scales of impacts and predictability toward mitigation and adaptation.

NASA Astrophysics Data System (ADS)

Voisin, N.; Kintner-Meyer, M.; Skaggs, R.; Xie, Y.; Wu, D.; Nguyen, T. B.; Fu, T.; Zhou, T.

2016-12-01

Heat waves and droughts are projected to be more frequent and intense. We have seen in the past the effects of each of those extreme climate events on electricity demand and constrained electricity generation, challenging power system operations. Our aim here is to understand the compounding effects under historical conditions. We present a benchmark of Western US grid performance under 55 years of historical climate, and including droughts, using 2010-level of water demand and water management infrastructure, and 2010-level of electricity grid infrastructure and operations. We leverage CMIP5 historical hydrology simulations and force a large scale river routing- reservoir model with 2010-level sectoral water demands. The regulated flow at each water-dependent generating plants is processed to adjust water-dependent electricity generation parameterization in a production cost model, that represents 2010-level power system operations with hourly energy demand of 2010. The resulting benchmark includes a risk distribution of several grid performance metrics (unserved energy, production cost, carbon emission) as a function of inter-annual variability in regional water availability and predictability using large scale climate oscillations. In the second part of the presentation, we describe an approach to map historical heat waves onto this benchmark grid performance using a building energy demand model. The impact of the heat waves, combined with the impact of droughts, is explored at multiple scales to understand the compounding effects. Vulnerabilities of the power generation and transmission systems are highlighted to guide future adaptation.

[Cardiac sonographers: a unique reality in Anglo-saxon countries? The experience of an Italian echo-lab which is employing them since 1984].

PubMed

del Mestre, Lorenzo; Compassi, Rossana; Badano, Luigi P; Monti, Maria Luisa; Ciani, Rosanna; Buiese, Simonetta; Gianfagna, Pasquale; Fioretti, Paolo M

2006-12-01

Cardiac sonographers play a key role in the management of echo-laboratories in anglo-saxon countries. In Italy, and generally in "latin" countries nearly all echocardiographic studies are performed by cardiologists. However, because of the increasing demand for echocardiography, this practice will no longer be feasible (medical schools do not graduate enough cardiologists!), and cost-effective (the cost of echocardiography performed by cardiologists only is becoming too high!). Introduction of cardiac sonographers in Italian echo-laboratories may represent a feasible and cost-effective solution to the ever increasing demand for echocardiography. In order to contribute to the debate, we report the experience of our echo-laboratory that employs cardiac sonographers since 1984.

5 CFR 1305.3 - Procedures in the event of a demand for disclosure.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 5 Administrative Personnel 3 2013-01-01 2013-01-01 false Procedures in the event of a demand for disclosure. 1305.3 Section 1305.3 Administrative Personnel OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATIVE....3 Procedures in the event of a demand for disclosure. (a) Whenever a demand is made upon an employee...

5 CFR 1305.3 - Procedures in the event of a demand for disclosure.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 3 2011-01-01 2011-01-01 false Procedures in the event of a demand for disclosure. 1305.3 Section 1305.3 Administrative Personnel OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATIVE....3 Procedures in the event of a demand for disclosure. (a) Whenever a demand is made upon an employee...

5 CFR 1305.3 - Procedures in the event of a demand for disclosure.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 5 Administrative Personnel 3 2012-01-01 2012-01-01 false Procedures in the event of a demand for disclosure. 1305.3 Section 1305.3 Administrative Personnel OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATIVE....3 Procedures in the event of a demand for disclosure. (a) Whenever a demand is made upon an employee...

Evaluating Outdoor Water Use Demand under Changing Climatic and Demographic Conditions: An Agent-based Modeling Approach

NASA Astrophysics Data System (ADS)

Kanta, L.

2016-12-01

Outdoor water use for landscape and irrigation constitutes a significant end use in residential water demand. In periods of water shortages, utilities may reduce garden demands by implementing irrigation system audits, rebate programs, local ordinances, and voluntary or mandatory water use restrictions. Because utilities do not typically record outdoor and indoor water uses separately, the effects of policies for reducing garden demands cannot be readily calculated. The volume of water required to meet garden demands depends on the housing density or lawn size, type of vegetation, climatic conditions, efficiency of garden irrigation systems, and consumer water-use behaviors. Many existing outdoor demand estimation methods are deterministic and do not include consumer responses to conservation campaigns. In addition, mandatory restrictions may have a substantial impact on reducing outdoor demands, but the effectiveness of mandatory restrictions depends on the timing and the frequency of restrictions, in addition to the distribution of housing density and consumer types within a community. This research investigates a garden end-use model by coupling an agent-based modeling approach and a mechanistic-stochastic water demand model to create a methodology for estimating garden demand and evaluating demand reduction policies. The garden demand model is developed for two water utilities, using a diverse data sets, including residential customer billing records, records of outdoor conservation programs, frequency and type of mandatory water use restrictions, lot size distribution, population growth, and climatic data. A set of garden irrigation parameter values, which are based on the efficiency of irrigation systems and irrigation habits of consumers, are determined for a set of conservation ordinances and restrictions. The model parameters are then validated using customer water usage data from the participating water utilities. A sensitivity analysis is conducted for garden irrigation parameters to determine the most significant factors that should be considered by water utilities to reduce outdoor demand. Data from multiple sources and the agent-based modeling methodology are integrated using a holistic approach to assist utilities in efficiently and sustainably managing outdoor demand.

Evaluating Outdoor Water Use Demand under Changing Climatic and Demographic Conditions: An Agent-based Modeling Approach

NASA Astrophysics Data System (ADS)

Kanta, L.; Berglund, E. Z.; Soh, M. H.

2017-12-01

Outdoor water-use for landscape and irrigation constitutes a significant end-use in total residential water demand. In periods of water shortages, utilities may reduce garden demands by implementing irrigation system audits, rebate programs, local ordinances, and voluntary or mandatory water-use restrictions. Because utilities do not typically record outdoor and indoor water-uses separately, the effects of policies for reducing garden demands cannot be readily calculated. The volume of water required to meet garden demands depends on the housing density, lawn size, type of vegetation, climatic conditions, efficiency of garden irrigation systems, and consumer water-use behaviors. Many existing outdoor demand estimation methods are deterministic and do not include consumer responses to conservation campaigns. In addition, mandatory restrictions may have a substantial impact on reducing outdoor demands, but the effectiveness of mandatory restrictions depends on the timing and the frequency of restrictions, in addition to the distribution of housing density and consumer types within a community. This research investigates a garden end-use model by coupling an agent-based modeling approach and a mechanistic-stochastic water demand model to create a methodology for estimating garden demand and evaluating demand reduction policies. The garden demand model is developed for two water utilities, using a diverse data sets, including residential customer billing records, outdoor conservation programs, frequency and type of mandatory water-use restrictions, lot size distribution, population growth, and climatic data. A set of garden irrigation parameter values, which are based on the efficiency of irrigation systems and irrigation habits of consumers, are determined for a set of conservation ordinances and restrictions. The model parameters are then validated using customer water usage data from the participating water utilities. A sensitivity analysis is conducted for garden irrigation parameters to determine the most significant factors that should be considered by water utilities to reduce outdoor demand. Data from multiple sources and the agent-based modeling methodology are integrated using a holistic approach to assist utilities in efficiently and sustainably managing outdoor demand.

Coordinating a supply chain with a loss-averse retailer and effort dependent demand.

PubMed

Li, Liying; Wang, Yong

2014-01-01

This study investigates the channel coordination issue of a supply chain with a risk-neutral manufacturer and a loss-averse retailer facing stochastic demand that is sensitive to sales effort. Under the loss-averse newsvendor setting, a distribution-free gain/loss-sharing-and-buyback (GLB) contract has been shown to be able to coordinate the supply chain. However, we find that a GLB contract remains ineffective in managing the supply chain when retailer sales efforts influence the demand. To effectively coordinate the channel, we propose to combine a GLB contract with sales rebate and penalty (SRP) contract. In addition, we discover a special class of gain/loss contracts that can coordinate the supply chain and arbitrarily allocate the expected supply chain profit between the manufacturer and the retailer. We then analyze the effect of loss aversion on the retailer's decision-making behavior and supply chain performance. Finally, we perform a numerical study to illustrate the findings and gain additional insights.

Coordinating a Supply Chain with a Loss-Averse Retailer and Effort Dependent Demand

PubMed Central

Li, Liying

2014-01-01

This study investigates the channel coordination issue of a supply chain with a risk-neutral manufacturer and a loss-averse retailer facing stochastic demand that is sensitive to sales effort. Under the loss-averse newsvendor setting, a distribution-free gain/loss-sharing-and-buyback (GLB) contract has been shown to be able to coordinate the supply chain. However, we find that a GLB contract remains ineffective in managing the supply chain when retailer sales efforts influence the demand. To effectively coordinate the channel, we propose to combine a GLB contract with sales rebate and penalty (SRP) contract. In addition, we discover a special class of gain/loss contracts that can coordinate the supply chain and arbitrarily allocate the expected supply chain profit between the manufacturer and the retailer. We then analyze the effect of loss aversion on the retailer's decision-making behavior and supply chain performance. Finally, we perform a numerical study to illustrate the findings and gain additional insights. PMID:25197696

Perceptions of work stress causes and effective interventions in employees working in public, private and non-governmental organisations: a qualitative study

PubMed Central

Bhui, Kamaldeep; Dinos, Sokratis; Galant-Miecznikowska, Magdalena; de Jongh, Bertine; Stansfeld, Stephen

2016-01-01

Aims and method To identify causes of stress at work as well as individual, organisational and personal interventions used by employees to manage stress in public, private and non-governmental organizations (NGOs). Qualitative interviews were conducted with 51 employees from a range of organisations. Results Participants reported adverse working conditions and management practices as common causes of work stress. Stress-inducing management practices included unrealistic demands, lack of support, unfair treatment, low decision latitude, lack of appreciation, effort–reward imbalance, conflicting roles, lack of transparency and poor communication. Organisational interventions were perceived as effective if they improved management styles, and included physical exercise, taking breaks and ensuring adequate time for planning work tasks. Personal interventions used outside of work were important to prevent and remedy stress. Clinical implications Interventions should improve management practices as well as promoting personal interventions outside of the work setting. PMID:28377811

Contingency Management and Deliberative Decision-Making Processes.

PubMed

Regier, Paul S; Redish, A David

2015-01-01

Contingency management is an effective treatment for drug addiction. The current explanation for its success is rooted in alternative reinforcement theory. We suggest that alternative reinforcement theory is inadequate to explain the success of contingency management and produce a model based on demand curves that show how little the monetary rewards offered in this treatment would affect drug use. Instead, we offer an explanation of its success based on the concept that it accesses deliberative decision-making processes. We suggest that contingency management is effective because it offers a concrete and immediate alternative to using drugs, which engages deliberative processes, improves the ability of those deliberative processes to attend to non-drug options, and offsets more automatic action-selection systems. This theory makes explicit predictions that can be tested, suggests which users will be most helped by contingency management, and suggests improvements in its implementation.

Contingency Management and Deliberative Decision-Making Processes

PubMed Central

Regier, Paul S.; Redish, A. David

2015-01-01

Contingency management is an effective treatment for drug addiction. The current explanation for its success is rooted in alternative reinforcement theory. We suggest that alternative reinforcement theory is inadequate to explain the success of contingency management and produce a model based on demand curves that show how little the monetary rewards offered in this treatment would affect drug use. Instead, we offer an explanation of its success based on the concept that it accesses deliberative decision-making processes. We suggest that contingency management is effective because it offers a concrete and immediate alternative to using drugs, which engages deliberative processes, improves the ability of those deliberative processes to attend to non-drug options, and offsets more automatic action-selection systems. This theory makes explicit predictions that can be tested, suggests which users will be most helped by contingency management, and suggests improvements in its implementation. PMID:26082725

Obesity disease management opportunities and barriers.

PubMed

Sidorov, Jaan E; Fitzner, Karen

2006-04-01

Disease management, a system of coordinated health care interventions and communications for chronically ill populations, relies on patient education and case management to engage individuals in the management of their condition. Disease management also aims to enhance the quality of interactions between doctors and patients and advance evidence-based medicine. Because these programs' interventions frequently include helping individuals who suffer comorbidities associated with obesity to reduce their BMI, adaptation of disease management to populations with obesity seems a viable option. A major barrier for implementing disease management for obesity, however, is the lack of proven return on investment, which limits health plan and disease management organization interest. Purchaser demand may overcome this reluctance. Further research is needed to objectively test whether disease management interventions would be clinically effective for obese populations, produce positive financial outcomes for insurers, and enhance workplace productivity.

Managing innovation to overhaul a patient-care environment.

PubMed

McKenna, W

1989-01-01

Innovation in public service organizations must be managed, just as it must be in any business. However, in older, large public organizations, specific strategies are needed. One such strategy is described in development and impact. The first step was utilizing external demands to create an atmosphere in which change was accepted as necessary. This was followed by a relaxation of top down procedural direction accompanied by persistent concentration on establishing new standards and objectives. The final major component was a management system intended to guide and shape development of innovations into an integrated program effectively addressing the new objectives and standards.

NASA Automatic Information Security Handbook

NASA Technical Reports Server (NTRS)

1993-01-01

This handbook details the Automated Information Security (AIS) management process for NASA. Automated information system security is becoming an increasingly important issue for all NASA managers and with rapid advancements in computer and network technologies and the demanding nature of space exploration and space research have made NASA increasingly dependent on automated systems to store, process, and transmit vast amounts of mission support information, hence the need for AIS systems and management. This handbook provides the consistent policies, procedures, and guidance to assure that an aggressive and effective AIS programs is developed, implemented, and sustained at all NASA organizations and NASA support contractors.

Crew workload-management strategies - A critical factor in system performance

NASA Technical Reports Server (NTRS)

Hart, Sandra G.

1989-01-01

This paper reviews the philosophy and goals of the NASA/USAF Strategic Behavior/Workload Management Program. The philosophical foundation of the program is based on the assumption that an improved understanding of pilot strategies will clarify the complex and inconsistent relationships observed among objective task demands and measures of system performance and pilot workload. The goals are to: (1) develop operationally relevant figures of merit for performance, (2) quantify the effects of strategic behaviors on system performance and pilot workload, (3) identify evaluation criteria for workload measures, and (4) develop methods of improving pilots' abilities to manage workload extremes.

Key Residential Building Equipment Technologies for Control and Grid Support PART I (Residential)

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

Starke, Michael R; Onar, Omer C; DeVault, Robert C

2011-09-01

Electrical energy consumption of the residential sector is a crucial area of research that has in the past primarily focused on increasing the efficiency of household devices such as water heaters, dishwashers, air conditioners, and clothes washer and dryer units. However, the focus of this research is shifting as objectives such as developing the smart grid and ensuring that the power system remains reliable come to the fore, along with the increasing need to reduce energy use and costs. Load research has started to focus on mechanisms to support the power system through demand reduction and/or reliability services. The powermore » system relies on matching generation and load, and day-ahead and real-time energy markets capture most of this need. However, a separate set of grid services exist to address the discrepancies in load and generation arising from contingencies and operational mismatches, and to ensure that the transmission system is available for delivery of power from generation to load. Currently, these grid services are mostly provided by generation resources. The addition of renewable resources with their inherent variability can complicate the issue of power system reliability and lead to the increased need for grid services. Using load as a resource, through demand response programs, can fill the additional need for flexible resources and even reduce costly energy peaks. Loads have been shown to have response that is equal to or better than generation in some cases. Furthermore, price-incentivized demand response programs have been shown to reduce the peak energy requirements, thereby affecting the wholesale market efficiency and overall energy prices. The residential sector is not only the largest consumer of electrical energy in the United States, but also has the highest potential to provide demand reduction and power system support, as technological advancements in load control, sensor technologies, and communication are made. The prevailing loads based on the largest electrical energy consumers in the residential sector are space heating and cooling, washer and dryer, water heating, lighting, computers and electronics, dishwasher and range, and refrigeration. As the largest loads, these loads provide the highest potential for delivering demand response and reliability services. Many residential loads have inherent flexibility that is related to the purpose of the load. Depending on the load type, electric power consumption levels can either be ramped, changed in a step-change fashion, or completely removed. Loads with only on-off capability (such as clothes washers and dryers) provide less flexibility than resources that can be ramped or step-changed. Add-on devices may be able to provide extra demand response capabilities. Still, operating residential loads effectively requires awareness of the delicate balance of occupants health and comfort and electrical energy consumption. This report is Phase I of a series of reports aimed at identifying gaps in automated home energy management systems for incorporation of building appliances, vehicles, and renewable adoption into a smart grid, specifically with the intent of examining demand response and load factor control for power system support. The objective is to capture existing gaps in load control, energy management systems, and sensor technology with consideration of PHEV and renewable technologies to establish areas of research for the Department of Energy. In this report, (1) data is collected and examined from state of the art homes to characterize the primary residential loads as well as PHEVs and photovoltaic for potential adoption into energy management control strategies; and (2) demand response rules and requirements across the various demand response programs are examined for potential participation of residential loads. This report will be followed by a Phase II report aimed at identifying the current state of technology of energy management systems, sensors, and communication technologies for demand response and load factor control applications for the residential sector. The purpose is to cover the gaps that exist in the information captured by the sensors for energy management system to be able to provide demand response and load factor control. The vision is the development of an energy management system or other controlling enterprise hardware and software that is not only able to control loads, PHEVs, and renewable generation for demand response and load factor control, but also to do so with consumer comforts in mind and in an optimal fashion.« less

Demand management and test request rationalization.

PubMed

Smellie, W S A

2012-07-01

Demand for laboratory testing is increasing disproportionately to medical activity, and the tests involved are becoming increasingly complex. When this phenomenon is seen in parallel with declining teaching of laboratory medicine in the medical curriculum, a need emerges to manage demand to avoid unnecessary expenditure and improve the use of laboratory services: 'the right test in the right patient at the right time.' Various methods have been tried to manage demand, with success depending on the medical context, type of health service and preintervention situation. Because many factors contribute to demand, and the different settings in which these exist, it is not realistic to meta-analyse the studies and we are limited to trying to identify trends in results in particular situations. The studies suggest that education combined with facilitating interventions, such as feedback, prompts and changes to laboratory request forms are the most successful. From the perspective of a whole health service, it is important that results are not exaggerated by assessing benefits in terms of total rather than marginal cost. It would be desirable, although difficult, to include the impact on downstream clinical activity caused or avoided by the interventions. Advances in information and web technology may make the elusive goal of achieving substantial demand control more achievable.

Forecasting in foodservice: model development, testing, and evaluation.

PubMed

Miller, J L; Thompson, P A; Orabella, M M

1991-05-01

This study was designed to develop, test, and evaluate mathematical models appropriate for forecasting menu-item production demand in foodservice. Data were collected from residence and dining hall foodservices at Ohio State University. Objectives of the study were to collect, code, and analyze the data; develop and test models using actual operation data; and compare forecasting results with current methods in use. Customer count was forecast using deseasonalized simple exponential smoothing. Menu-item demand was forecast by multiplying the count forecast by a predicted preference statistic. Forecasting models were evaluated using mean squared error, mean absolute deviation, and mean absolute percentage error techniques. All models were more accurate than current methods. A broad spectrum of forecasting techniques could be used by foodservice managers with access to a personal computer and spread-sheet and database-management software. The findings indicate that mathematical forecasting techniques may be effective in foodservice operations to control costs, increase productivity, and maximize profits.

[A bit of business administration--no problem for physicians: Master of Business Administration as panacea?].

PubMed

Tecklenburg, A; Liebeneiner, J

2010-08-01

Medical professionals with additional economic qualifications are in high demand. For doctors who aim for leading positions at medical institutions the most popular additional qualification is a Master of Business Administration (MBA). The demands on executive managers in hospitals have without any doubt changed in recent years requiring them to be trained in basic economic understanding, human resource management etc. in addition to having excellent medical training. However, MBA programs differ from one academic institution to the next. Due to the lack of standardized schedules in MBA programs it cannot be ascertained whether a candidate received adequate training and can offer the skills necessary for a higher level medical profession. In this paper the author suggests that specific training in individually required skills would be more reasonable and effective rather than encouraging medical staff to pursue academic studies leading to an MBA.

[Changes in the forms of industrial production and their effects on workers' health].

PubMed

Fernandes, Rita de Cássia Pereira; Assunção, Ada Avila; Carvalho, Fernando Martins

2010-06-01

This study aimed to identify determinants of health in workers of plastic industries. Production organization, machinery from maintenance and productive areas, and workers' characteristics of 14 plastic industries from Greater Salvador, Bahia State, Brazil, were described. Data were collected about development policy of each company; marketing, operational procedures; production and quality requirements, and formal rules of work organization. High strain management techniques for production time reduction have been implemented. The increase of work rhythm, reduction of break time, and a situation of high cognitive demand impose to workers anomalous body positioning for performing tasks that imply repetitive movements. Physical and psychosocial demands (repetitive work, lower control of the worker on his own tasks, time pressure and job dissatisfaction) compose a complex of conditions adverse to workers' health. Changes in production management, personnel and business impose new strains into the development of task by the workers and bringing in new risk factors to workers' health.

StreamWorks: the live and on-demand audio/video server and its applications in medical information systems

NASA Astrophysics Data System (ADS)

Akrout, Nabil M.; Gordon, Howard; Palisson, Patrice M.; Prost, Remy; Goutte, Robert

1996-05-01

Facing a world undergoing fundamental and rapid change, healthcare organizations are seeking ways to increase innovation, quality, productivity, and patient value, keys to more effective care. Individual clinics acting alone can respond in only a limited way, so re- engineering the process key which services are delivered demands real-time collaborative technology that provides immediate information sharing, improving the management and coordination of information in cross-functional teams. StreamWorks is a development stage architecture that uses a distribution technique to deliver an advanced information management system for telemedicine. The challenge of StreamWorks in telemedicine is to enable equity of the quality of Health Care of Telecommunications and Information Technology also to patients in less favored regions, like India or China, where the quality of medical care varies greatly by region, but where there are some very current communications facilities.

Approaches of Russian oil companies to optimal capital structure

NASA Astrophysics Data System (ADS)

Ishuk, T.; Ulyanova, O.; Savchitz, V.

2015-11-01

Oil companies play a vital role in Russian economy. Demand for hydrocarbon products will be increasing for the nearest decades simultaneously with the population growth and social needs. Change of raw-material orientation of Russian economy and the transition to the innovative way of the development do not exclude the development of oil industry in future. Moreover, society believes that this sector must bring the Russian economy on to the road of innovative development due to neo-industrialization. To achieve this, the government power as well as capital management of companies are required. To make their optimal capital structure, it is necessary to minimize the capital cost, decrease definite risks under existing limits, and maximize profitability. The capital structure analysis of Russian and foreign oil companies shows different approaches, reasons, as well as conditions and, consequently, equity capital and debt capital relationship and their cost, which demands the effective capital management strategy.

Association between Work Related Stress and Health Related Quality of Life: The Impact of Socio-Demographic Variables. A Cross Sectional Study in a Region of Central Italy.

PubMed

La Torre, Giuseppe; Sestili, Cristina; Mannocci, Alice; Sinopoli, Alessandra; De Paolis, Massimiliano; De Francesco, Sara; Rapaccini, Laura; Barone, Marco; Iodice, Valentina; Lojodice, Bruno; Sernia, Sabina; De Sio, Simone; Del Cimmuto, Angela; De Giusti, Maria

2018-01-19

The aim of this work is investigate relationship between health-related quality of life and work-related stress and the impact of gender, education level, and age on this relationship. A cross-sectional study was conducted among workers of various setting in Rome and Frosinone. Work-related stress was measured with a demand-control questionnaire and health-related functioning by SF (short form)-12 health survey. There were 611 participants. Men reported high mental composite summary (MCS) and physical composite summary (PCS). In multivariate analysis age, gender ( p < 0.001) and job demand (0.045) predicted low PCS. Low MCS predicted poor PCS. Job demand and educational level resulted negatively associated with MCS. In an analysis stratified for age, gender, and educational level, gender and age resulted effect modifier for MCS, gender and education level for PCS. In women increase of decision latitude predict ( p = 0.001) an increase in MCS; a low job demand predict high MCS in male ( p ≤ 0.001). In younger workers, a lower level of job demand predicted high MCS (<0.001). For PCS, gender and education level resulted effect modifier. In women, high decision latitude predicted higher PCS ( p = 0.001) and lower level of job demand results in higher PCS ( p ≤ 0.001). Higher educational level resulted predictor of low PCS. Management of risk about work-related stress should consider socio-demographic factors.

Potential climate change impacts on water availability and cooling water demand in the Lusatian Lignite Mining Region, Central Europe

NASA Astrophysics Data System (ADS)

Pohle, Ina; Koch, Hagen; Gädeke, Anne; Grünewald, Uwe; Kaltofen, Michael; Redetzky, Michael

2014-05-01

In the catchments of the rivers Schwarze Elster, Spree and Lusatian Neisse, hydrologic and socioeconomic systems are coupled via a complex water management system in which water users, reservoirs and water transfers are included. Lignite mining and electricity production are major water users in the region: To allow for open pit lignite mining, ground water is depleted and released into the river system while cooling water is used in the thermal power plants. In order to assess potential climate change impacts on water availability in the catchments as well as on the water demand of the thermal power plants, a climate change impact assessment was performed using the hydrological model SWIM and the long term water management model WBalMo. The potential impacts of climate change were considered by using three regional climate change scenarios of the statistical regional climate model STAR assuming a further temperature increase of 0, 2 or 3 K by the year 2050 in the region respectively. Furthermore, scenarios assuming decreasing mining activities in terms of a decreasing groundwater depression cone, lower mining water discharges, and reduced cooling water demand of the thermal power plants are considered. In the standard version of the WBalMo model cooling water demand is considered as static with regard to climate variables. However, changes in the future cooling water demand over time according to the plans of the local mining and power plant operator are considered. In order to account for climate change impacts on the cooling water demand of the thermal power plants, a dynamical approach for calculating water demand was implemented in WBalMo. As this approach is based on air temperature and air humidity, the projected air temperature and air humidity of the climate scenarios at the locations of the power plants are included in the calculation. Due to increasing temperature and decreasing precipitation declining natural and managed discharges, and hence a lower water availability in the region, were simulated by SWIM and WBalMo respectively. Next to changing climate conditions, also the different mining scenarios have considerable impacts on natural and managed discharges. Using the dynamic approach for cooling water demand, the simulated water demands are lower in winter, but higher in summer compared to the static approach. As a consequence of changes in the seasonal pattern of the cooling water demand of the power plants, lower summer discharges downstream of the thermal power plants are simulated using the dynamical approach. Due to the complex water management system in the region included in the water management model WBalMo, also the simulation of reservoir releases and volumes is impacted by the choice of either the static or the dynamic approach for calculating the cooling water demand of the thermal power plants.

Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis

USGS Publications Warehouse

Henry, Kevin; Wood, Nathan J.; Frazier, Tim G.

2017-01-01

Tsunami evacuation planning in coastal communities is typically focused on local events where at-risk individuals must move on foot in a matter of minutes to safety. Less attention has been placed on distant tsunamis, where evacuations unfold over several hours, are often dominated by vehicle use and are managed by public safety officials. Traditional traffic simulation models focus on estimating clearance times but often overlook the influence of varying population demand, alternative modes, background traffic, shadow evacuation, and traffic management alternatives. These factors are especially important for island communities with limited egress options to safety. We use the coastal community of Balboa Island, California (USA), as a case study to explore the range of potential clearance times prior to wave arrival for a distant tsunami scenario. We use a first-in–first-out queuing simulation environment to estimate variations in clearance times, given varying assumptions of the evacuating population (demand) and the road network over which they evacuate (supply). Results suggest clearance times are less than wave arrival times for a distant tsunami, except when we assume maximum vehicle usage for residents, employees, and tourists for a weekend scenario. A two-lane bridge to the mainland was the primary traffic bottleneck, thereby minimizing the effect of departure times, shadow evacuations, background traffic, boat-based evacuations, and traffic light timing on overall community clearance time. Reducing vehicular demand generally reduced clearance time, whereas improvements to road capacity had mixed results. Finally, failure to recognize non-residential employee and tourist populations in the vehicle demand substantially underestimated clearance time.

The emergence of "lifestyle medicine" as a structured approach for management of chronic disease.

PubMed

Egger, Garry J; Binns, Andrew F; Rossner, Stephan R

2009-02-02

Chronic diseases with a lifestyle-based aetiology currently make up a significant proportion of primary care consultations, but management often falls between the demands of public and clinical health. A modified clinical approach, based around the concept of "lifestyle medicine", helps fill the gap by adding behavioural, motivational and environmental skills to conventional medical practice. When used in a multidisciplinary setting, lifestyle medicine offers potential cost and effectiveness benefits, which are beginning to be realised.

Development of a decision support tool for seasonal water supply management incorporating system uncertainties and operational constraints

NASA Astrophysics Data System (ADS)

Wang, H.; Asefa, T.

2017-12-01

A real-time decision support tool (DST) for water supply system would consider system uncertainties, e.g., uncertain streamflow and demand, as well as operational constraints and infrastructure outage (e.g., pump station shutdown, an offline reservoir due to maintenance). Such DST is often used by water managers for resource allocation and delivery for customers. Although most seasonal DST used by water managers recognize those system uncertainties and operational constraints, most use only historical information or assume deterministic outlook of water supply systems. This study presents a seasonal DST that incorporates rainfall/streamflow uncertainties, seasonal demand outlook and system operational constraints. Large scale climate-information is captured through a rainfall simulator driven by a Bayesian non-homogeneous Markov Chain Monte Carlo model that allows non-stationary transition probabilities contingent on Nino 3.4 index. An ad-hoc seasonal demand forecasting model considers weather conditions explicitly and socio-economic factors implicitly. Latin Hypercube sampling is employed to effectively sample probability density functions of flow and demand. Seasonal system operation is modelled as a mixed-integer optimization problem that aims at minimizing operational costs. It embeds the flexibility of modifying operational rules at different components, e.g., surface water treatment plants, desalination facilities, and groundwater pumping stations. The proposed framework is illustrated at a wholesale water supplier in Southeastern United States, Tampa Bay Water. The use of the tool is demonstrated in proving operational guidance in a typical drawdown and refill cycle of a regional reservoir. The DST provided: 1) probabilistic outlook of reservoir storage and chance of a successful refill by the end of rainy season; 2) operational expectations for large infrastructures (e.g., high service pumps and booster stations) throughout the season. Other potential use of such DST is also discussed.

A Novel Framework Based on the Improved Job Demands-Resources (JD-R) Model to Understand the Impact of Job Characteristics on Job Burnout from the View of Emotion Regulation Theory.

PubMed

Yang, Naiding; Lu, Jintao; Ye, Jinfu

2018-03-01

It has been suggested that individual job characteristics have a significant impact on job burnout, and the process is subject to the regulation of demographic variables. However, the influence path of job characteristics on job burnout is still a "black box". On the basis of a systematic literature review by employing Pub Med, Science Direct, Web of Science, Google Scholar, CNKI and Scopus for required information with the several keywords "Job burnout", "Emotion regulation", "Personality traits", and "Psychological stress", in this study, an improved mine rescue workers-oriented job demands-resources (JD-R) model was put forward. Then, a novel analysis framework, to explore the impact of job characteristics on job burnout from the view of emotion regulation theory, was proposed combining the personality trait theory. This study argues that job burnout is influenced by job demands through expressive suppression and by job resources through cognitive reappraisal respectively. Further more, job demands and job resources have the opposite effects on job burnout through the "loss-path" caused by job pressure and the "gain-path" arised from job motivation, respectively. Extrovert personality traits can affect the way the individual processes the information of work environment and then how individual further adopts emotion regulation strategies, finally resulting in indirectly affecting the influence path of mine rescue workers' job characteristics on job burnout. This present study can help managers to realize the importance of employees' psychological stress and job burnout problems. The obtained conclusions provide significant decision-making references for managers in intervening job burnout, managing emotional stress and mental health of employees.

Municipal Water Demand: Statistical and Management Issues

NASA Astrophysics Data System (ADS)

Martin, William E.

In the foreword to this volume, Charles W. Howe, general editor of the Westview Press series on water policy and management, states that the goal of this book is to emphasize “the potential for improved water management with reduced economic and environmental costs by utilizing modern methods of demand estimation that take into account user responsiveness to price, conservation measures, and economic-demographic changes.” The authors accomplish their purpose, but the book itself leaves much to be desired.

[Communication center in public health].

PubMed

George, W; Grimminger, F; Krause, B

2002-06-01

The Communications Center's portfolio covers areas such as marketing, contacts, distribution of information, sales activities and collection of bills by telephone (encashment). A special emphasis is Customer Care Management (Customer Relationship Management) to the patient and his caregivers (relatives), the customers, especially the physicians who send their patients to the hospital and the hospital doctor. By providing communication centers, the hospital would be able to improve the communication with the G.P.s, and identify the wishes and requirements more accurately and easily from the beginning. Dealing effectively with information and communication is already also of special importance for hospital doctors today. One can assume that the demands on doctors in this respect will become even more complex in the future. Doctors who are involved in scientific research are of course fully aware of the growing importance of the Internet with its new information and communication channels. Therefore analysing the current situation, the demands on a future information management system can be formulated: A system that will help doctors to avoid dealing with little goal-oriented information and thus setting up effective communication channels; an information system which is multi-media oriented towards the interests and needs of the patients and patient's relatives and which is further developed continually and directly by those involved.

Table for two: The effects of familiarity, sex and gender on food choice in imaginary dining scenarios.

PubMed

Dibb-Smith, Amanda; Brindal, Emily

2015-12-01

Existing research suggests that eating behaviours may be used to modify self-presentation and that process may be different for women compared to men. We aimed to assess how people make different food choices in situations of varying self-presentation demand. Via an online survey, eligible participants (n = 216; 64% female: not on a restrictive diet or severely obese/underweight) were allocated to one of four experimental conditions manipulating the familiarity (close friend v acquaintance) and sex of an eating companion (same v opposite sex). All participants were asked to imagine they were eating out with one of the manipulated companions, and were presented with a menu and asked to order items. Menu choices were used to calculate the total kilojoules ordered, percentage of kilojoules from fats and number of low-fat options selected. To assess differences in impression management, participants completed the Paulhus Deception scale. Despite successful manipulation checks, analyses of covariance (controlling for levels of hunger) revealed no main or interaction effects for familiarity and sex composition for any of the menu choice outcomes assessed. Impression management scores differed for sex composition (main effect only) with participants who imagined dining with someone of the same gender (M = 2.05, SE = 0.90) having higher impression management scores than those imagining dining with an opposite sex companion (M = 1.27, SE = 0.83). We found preliminary support that gender composition could alter impression management demands but this did not translate to differences in food choice. Copyright © 2015 Elsevier Ltd. All rights reserved.

Principles of operating room organization.

PubMed

Watkins, W D

1997-01-01

The importance of the changing health care climate has triggered important changes in the management of high-cost components of acute care facilities. By integrating and better managing various elements of the surgical process, health care institutions are able to rationally trim costs while maintaining high-quality services. The leadership that physicians can provide is crucial to the success of this undertaking (1). The importance of the use of primary data related to patient throughput and related resources should be strongly emphasized, for only when such data are converted to INFORMATION of functional value can participating healthcare personnel be reasonably expected to anticipate and respond to varying clinical demands with ever-limited resources. Despite the claims of specific commercial vendors, no single product will likely be sufficient to significantly change the perioperative process to the degree or for the duration demanded by healthcare reform. The most effective approach to achieving safety, cost-effectiveness, and predictable process in the realm of Surgical Services will occur by appropriate application of the "best of breed" contributions of: (a) medical/patient safety practice/oversight; (b) information technology; (c) contemporary management; and (d) innovative and functional cost-accounting methodology. S "modified activity-based cost accounting method" can serve as the basis for acquiring true direct-cost information related to the perioperative process. The proposed overall management strategy emphasizes process and feedback, rather than specific product, and although imposing initial demands and change on the traditional hospital setting, can advance the strongest competitive position in perioperative services. This comprehensive approach comprises a functional basis for important bench-marking activities among multiple surgical services. An active, comparative process of this type is of paramount importance in emphasizing patient care and safety as the highest priority while changing the process and cost of perioperative care. Additionally, this approach objectively defines the surgical process in terms by which the impact of new treatments, drugs, devices and process changes can be assessed rationally.

Demand management in plastic surgery for low priority procedures: the Welsh experience.

PubMed

Hunter, J E; Laing, J H E; Carroll, G

2010-11-01

Health Commission Wales (Specialist Services) [HCW] are responsible for resource allocation and demand management in plastic surgery for the population of Wales (2.9 M). Since 2004, all low priority plastic surgery referrals have been screened by a single HCW Case Officer against clinical inclusion criteria before the referral is passed to the provider. Only patients fulfilling these criteria proceed to an outpatient appointment, although there is an appeals procedure. Revised guidelines were introduced in 2006. Our aim was to investigate the effectiveness of the process and the impact of the revised criteria. The Case Officer's database was used to determine numbers of index procedures referred and those disallowed before and after the policy change. Since 2004 9,654 referrals have been screened. In 2005-6, 32.5% failed to meet the inclusion criteria and were disallowed. In the year after the policy revision fewer low priority patients were referred (1720 vs. 2013) and more (46.6%) were declined. Body contouring / abdominoplasty were particularly affected with 73.2% not compliant with funding criteria. The Welsh model is an efficient, effective and equitable system for demand management, which amounts to thousands of requests per year. After 2006, tighter guidelines have resulted in a higher proportion of patients not meeting the criteria for funding, particularly for body contouring / abdominoplasty procedures. Difficulties remain however in determining reproducible and clinically appropriate criteria for patients seeking plastic surgery following massive weight-loss. Whilst this process streamlines the provision of NHS plastic surgery for the people of Wales, there is a potential impact on specialist training. Copyright © 2009 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.

Sustainability assessment of regional water resources under the DPSIR framework

NASA Astrophysics Data System (ADS)

Sun, Shikun; Wang, Yubao; Liu, Jing; Cai, Huanjie; Wu, Pute; Geng, Qingling; Xu, Lijun

2016-01-01

Fresh water is a scarce and critical resource in both natural and socioeconomic systems. Increasing populations combined with an increasing demand for water resources have led to water shortages worldwide. Current water management strategies may not be sustainable, and comprehensive action should be taken to minimize the water budget deficit. Sustainable water resources management is essential because it ensures the integration of social, economic, and environmental issues into all stages of water resources management. This paper establishes the indicators to evaluate the sustainability of water utilization based on the Drive-Pressure-Status-Impact-Response (DPSIR) model. Based on the analytic hierarchy process (AHP) method, a comprehensive assessment of changes to the sustainability of the water resource system in the city of Bayannur was conducted using these indicators. The results indicate that there is an increase in the driving force of local water consumption due to changes in society, economic development, and the consumption structure of residents. The pressure on the water system increased, whereas the status of the water resources continued to decrease over the study period due to the increasing drive indicators. The local government adopted a series of response measures to relieve the decreasing water resources and alleviate the negative effects of the increasing driver in demand. The response measures improved the efficiency of water usage to a large extent, but the large-scale expansion in demands brought a rebounding effect, known as ;Jevons paradox; At the same time, the increasing emissions of industrial and agriculture pollutants brought huge pressures to the regional water resources environment, which caused a decrease in the sustainability of regional water resources. Changing medium and short-term factors, such as regional economic pattern, technological levels, and water utilization practices, can contribute to the sustainable utilization of regional water resources.

Do everyday problems of people with chronic illness interfere with their disease management?

PubMed

van Houtum, Lieke; Rijken, Mieke; Groenewegen, Peter

2015-10-01

Being chronically ill is a continuous process of balancing the demands of the illness and the demands of everyday life. Understanding how everyday life affects self-management might help to provide better professional support. However, little attention has been paid to the influence of everyday life on self-management. The purpose of this study is to examine to what extent problems in everyday life interfere with the self-management behaviour of people with chronic illness, i.e. their ability to manage their illness. To estimate the effects of having everyday problems on self-management, cross-sectional linear regression analyses with propensity score matching were conducted. Data was used from 1731 patients with chronic disease(s) who participated in a nationwide Dutch panel-study. One third of people with chronic illness encounter basic (e.g. financial, housing, employment) or social (e.g. partner, children, sexual or leisure) problems in their daily life. Younger people, people with poor health and people with physical limitations are more likely to have everyday problems. Experiencing basic problems is related to less active coping behaviour, while experiencing social problems is related to lower levels of symptom management and less active coping behaviour. The extent of everyday problems interfering with self-management of people with chronic illness depends on the type of everyday problems encountered, as well as on the type of self-management activities at stake. Healthcare providers should pay attention to the life context of people with chronic illness during consultations, as patients' ability to manage their illness is related to it.

Impact of disease management programs on hospital and community nursing practice.

PubMed

Goldstein, Perry C

2006-01-01

The impact of disease management progrmms on the role of the nursing profession in the evolving U.S. health care system is reviewed. Needed changes in educational and training programs are discussed in relation to demands for changing clinical and administrative skills in nursing with an emphasis on increasing demand for advanced practice nurses.

Estimating the Efficiency of Therapy Groups in a College Counseling Center

ERIC Educational Resources Information Center

Weatherford, Ryan D.

2017-01-01

College counseling centers are facing rapidly increasing demands for services and are tasked to find efficient ways of providing adequate services while managing limited space. The use of therapy groups has been proposed as a method of managing demand. This brief report examines the clinical time savings of a traditional group therapy program in a…

Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs - Evaluation Report for the San Diego Testbed

DOT National Transportation Integrated Search

2017-07-01

The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strateg...

Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the San Diego Testbed : Draft Report.

DOT National Transportation Integrated Search

2017-07-01

The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strateg...

77 FR 3544 - Meeting and Webinar on the Active Traffic and Demand Management and Intelligent Network Flow...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-24

... Intelligent Network Flow Optimization Operational Concepts; Notice of Public Meeting AGENCY: Research and... Demand Management (ADTM) and Intelligent Network Flow Optimization (INFLO) operational concepts. The ADTM... February 8, 2012, 8:30 to 4:30 p.m. The location for both meetings is the Hall of States, 444 North Capitol...

Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - evaluation summary for the San Diego testbed

DOT National Transportation Integrated Search

2017-08-01

The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strateg...

Integrated Demand Management: Minimizing Unanticipated Excessive Departure Delay while Ensuring Fairness from a Traffic Management Initiative

NASA Technical Reports Server (NTRS)

Yoo, Hyo-Sang; Brasil, Connie; Buckley, Nathan; Mohlenbrink, Christoph; Speridakos, Constantine; Parke, Bonny; Hodell, Gita; Lee, Paul U.; Smith, Nancy M.

2017-01-01

This paper introduces NASA's Integrated Demand Management (IDM) concept and presents the results from an early proof-of-concept evaluation and an exploratory experiment. An initial development of the concept was focused on integrating two systems - i.e. the FAA's newly deployed Traffic Flow Management System (TFMS) tool called the Collaborative Trajectory Options Program (CTOP) and the Time-Based Flow Management (TBFM) system with Extended Metering (XM) capabilities to manage projected heavy traffic demand into a capacity-constrained airport. A human-in-the-loop (HITL) simulation experiment was conducted to demonstrate the feasibility of the initial development of the concept by adapting it to an arrival traffic problem at Newark Liberty International Airport (EWR) during clear weather conditions. In this study, the CTOP was utilized to strategically plan the arrival traffic demand by controlling take-off times of both short- and long-haul flights (long-hauls specify aircraft outside TBFM regions and short-hauls specify aircraft within TBFM regions) in a way that results in equitable delays among the groups. Such strategic planning allows less airborne delay to occur within TBFM by feeding manageable long-haul traffic demand while reserving sufficient slots in the overhead streams for the short-haul departures. The manageable traffic demand indicates the TBFM scheduler assigns no more airborne delay than its assigned airspace is capable of absorbing. TBFM then uses its time-based metering capabilities to deliver the desirable throughput by tactically rescheduling the TBFM entered long-haul flights and short-haul departures. Additional research was also performed to explore use of Required Time of Arrival (RTA) capabilities as a potential control mechanism for the airborne flights to improve arrival traffic delivery accuracy of scheduled long-haul traffic demand. The study results show that both short- and long-haul flights received similar ground delays. In addition, there was a noticeable reduction in the total amount of excessive unanticipated last-minute ground delays, i.e. delays that are frequently imposed on the short-haul flight in current day operations due to saturation in the overhead stream, commonly referred to as 'double penalty'. Furthermore, the concept achieved the target throughput while minimizing the expected cost associated with overall delays in arrival traffic. Assessment of the RTA capabilities showed that there was indeed improvement of the scheduled entry times into TBFM regions by using RTA capabilities. However, with respect to reduction in delays incurred within TBFM, there was no observable benefit of improving the precision of long-haul flights entry times.

The old care paradigm is dead, long live the new sustainable care paradigm: how can GP commissioning consortia meet the demand challenges of 21st century healthcare?

PubMed

Mackenzie, James

2011-07-01

There are many challenges facing the health system in the 21st century - the majority of which are related to managing demand for health services. To meet these challenges emerging GP commissioning consortia will need to take a new approach to commissioning health services - an approach that moves beyond the current acute-centred curative paradigm of care to a new sustainable paradigm of care that focuses on primary care, integrated services and upstream prevention to manage demand. A key part of this shift is the recognition that the health system does not operate in a vacuum and that strategic commissioning decisions must take account of wider determinants of health and well-being, and operate within the finite limits of the planet's natural resources. The sustainable development principle of balancing financial, social and environmental considerations is crucial in managing demand for health services and ensuring that the health system is resilient to risks of resource uncertainty and a changing climate. Building sustainability into the governance and contracting processes of GP commissioning consortia will help deliver efficiency savings, impact on system productivity, manage system risk and help manage demand through the health co-benefits of taking a whole systems approach to commissioning decisions. Commissioning services from providers committed to corporate social responsibility and sustainable business practices allows us to move beyond a health system that cures people reactively to one in which the health of individuals and populations is managed proactively through prevention and education. The opportunity to build sustainability principles into the culture of GP commissioning consortia upfront should be seized now to ensure the new model of commissioning endures and is fit for the future.

The old care paradigm is dead, long live the new sustainable care paradigm: how can GP commissioning consortia meet the demand challenges of 21st century healthcare?

PubMed Central

2011-01-01

There are many challenges facing the health system in the 21st century – the majority of which are related to managing demand for health services. To meet these challenges emerging GP commissioning consortia will need to take a new approach to commissioning health services – an approach that moves beyond the current acute-centred curative paradigm of care to a new sustainable paradigm of care that focuses on primary care, integrated services and upstream prevention to manage demand. A key part of this shift is the recognition that the health system does not operate in a vacuum and that strategic commissioning decisions must take account of wider determinants of health and well-being, and operate within the finite limits of the planet's natural resources. The sustainable development principle of balancing financial, social and environmental considerations is crucial in managing demand for health services and ensuring that the health system is resilient to risks of resource uncertainty and a changing climate. Building sustainability into the governance and contracting processes of GP commissioning consortia will help deliver efficiency savings, impact on system productivity, manage system risk and help manage demand through the health co-benefits of taking a whole systems approach to commissioning decisions. Commissioning services from providers committed to corporate social responsibility and sustainable business practices allows us to move beyond a health system that cures people reactively to one in which the health of individuals and populations is managed proactively through prevention and education. The opportunity to build sustainability principles into the culture of GP commissioning consortia upfront should be seized now to ensure the new model of commissioning endures and is fit for the future. PMID:25949650

Design and calibration of chambers for the measurement of housed dairy cow gaseous emissions

USDA-ARS?s Scientific Manuscript database

The increased global demand for milk and other dairy products over the past decade has heightened concerns about potential for increased environmental impacts. Accurate measurement of gas emissions from dairy cows is essential to assess the effect of cow diets and other management practices on both ...

Preparing for Growth: Human Capital Innovations in Charter Public Schools

ERIC Educational Resources Information Center

Chadwick, Christi; Kowal, Julie

2011-01-01

Charter schools and successful charter management organizations that run them have grown significantly over the past decade but they must dramatically increase their scale in order to meet the demand for high-quality public school options for America's children. The limited supply of effective leaders and teachers is one of the key barriers…

Improved quality management to enhance the efficacy of the sterile insect technique for lepidopteran pests

USDA-ARS?s Scientific Manuscript database

Lepidoptera are among the most severe pests of food and fibre crops in the world and are mainly controlled using broad spectrum insecticides. This does not lead to sustainable control and farmers are demanding alternative control tools which are both effective and friendly to the environment. The st...

International School Business Management Professional Standards and Code of Ethics

ERIC Educational Resources Information Center

George, Patricia, Ed.

2006-01-01

Today, school districts cannot meet the challenges of an increasingly demanding and diverse clientele without an efficient and effective business and financial framework within which to operate. Well-prepared and dedicated school business officials, working in tandem with other members of the administrative team, can better assure that such a…

Assessment of Effectiveness of Web-Based Training on Demand

ERIC Educational Resources Information Center

Liu, Chien-Hung; Chiang, Tzu-Chiang; Huang, Yueh-Min

2007-01-01

e-Learning is bringing training to the attention of upper management in a way that other learning technologies have never done. Web-based training will remain predominant to the design and delivery of workplace learning in the 21st century because of its advantages over traditional classroom-based training. A comprehensive framework that…

Seeking Coherence and Integrity: Personal and Professional Demands and Expectations of Senior Women Professors

ERIC Educational Resources Information Center

Hamrick, Florence A.; Benjamin, Mimi

2004-01-01

This study of 26 senior women professors at a large research university suggests that, while their negotiation of professional and personal commitments involved calculated balancing acts and strategies, they primarily described searches for integrity and coherence in life. More effective personal management strategies, modified and more realistic…

Technology and research needs to support soil change studies in reserach and soil survey

USDA-ARS?s Scientific Manuscript database

Soil survey products must evolve to address the effects of management practices on the soil resource. There is a rising demand by soil survey customers interested in sustainable use of natural resources for information about land-use impacts on soil quality, ecological processes, and soil function. ...

Effect of harvesting on forest soil and water in an organic soil watershed

Treesearch

J.M. Grace; R.W. Skaggs

2006-01-01

Timber harvest operations are necessary and common in forest management to provide profitability and satisfy demands for timber products. Harvesting operations, as with most forest operations, have received much attention in regards to soil and water issues. Harvesting operations have been reported to affect soil physical properties and hydrological characteristics...

Crop pollination exposes honey bees to pesticides which alters their susceptibility to the gut pathogen Nosema ceranae

USDA-ARS?s Scientific Manuscript database

Recent declines in honey bee populations and increasing demand for insect-pollinated crops raise concerns about pollinator shortages. Pesticide exposure and pathogens may interact to have strong negative effects on managed honey bee colonies. Such findings are of great concern given the large number...

Integrating Postsecondary Program Planning and Employment Demand. AIR Forum Paper 1978.

ERIC Educational Resources Information Center

Hall, Toni

A major state-coordinated program in Texas is helping education decision makers and the general public who need information about inputs, activities and cost, and also about the results and impacts of educational programs. Educators have encountered two major problems in obtaining information for effective planning and management: the lack of…

Novice Administrators: Psychological and Physiological Effects.

ERIC Educational Resources Information Center

Schmidt, Linda J.; Kosmoski, Georgia J.; Pollack, Dennis R.

Novice school administrators find that demands for excellence have grown while budgets have shrunk. This paper reports on a study that examined the stress levels of beginning administrators. Two of the key questions for the study--Is the stress experienced by new school administrators manageable or out of control? and Does the job put beginning…

Coastal Inlets Research Program

DTIC Science & Technology

2015-02-09

maintenance dredging of 216 million cubic yards from Federal navigation channels. Dredging costs are likely to increase in the future because of...beaches, estuaries, ecosystems and regions. Demand for regional sediment management practices and mitigation for engineering activities includes...innovative creation of nearshore berms with dredged sediment intended as a source to nourish neighboring beaches. Renewable, cost- effective placement

Pine plantation communities: how do we begin to manage for plant diversity?

Treesearch

James H. Miller

2001-01-01

Conservation of biological diversity is becoming a flagship issue on public and private forests worldwide while productivity increases are demanded. As concern for diversity. maintenance escalates, increasing pressure is being placed on the forestry community to understand the effects of intensifying silvicultural treatments on biodiversity and its sustainable...

Developing an index of wetland condition from ecological data: An example using HGM functional variables from the Nanticoke Watershed, USA

EPA Science Inventory

Demand for data on the ecological condition of wetlands is increasing as state and federal management programs recognize its value in reporting on the ambient condition of the resource, targeting restoration and protection efforts, evaluating the effects of mitigation and restora...

Water demand forecasting: review of soft computing methods.

PubMed

Ghalehkhondabi, Iman; Ardjmand, Ehsan; Young, William A; Weckman, Gary R

2017-07-01

Demand forecasting plays a vital role in resource management for governments and private companies. Considering the scarcity of water and its inherent constraints, demand management and forecasting in this domain are critically important. Several soft computing techniques have been developed over the last few decades for water demand forecasting. This study focuses on soft computing methods of water consumption forecasting published between 2005 and 2015. These methods include artificial neural networks (ANNs), fuzzy and neuro-fuzzy models, support vector machines, metaheuristics, and system dynamics. Furthermore, it was discussed that while in short-term forecasting, ANNs have been superior in many cases, but it is still very difficult to pick a single method as the overall best. According to the literature, various methods and their hybrids are applied to water demand forecasting. However, it seems soft computing has a lot more to contribute to water demand forecasting. These contribution areas include, but are not limited, to various ANN architectures, unsupervised methods, deep learning, various metaheuristics, and ensemble methods. Moreover, it is found that soft computing methods are mainly used for short-term demand forecasting.

California's Drought - Stress test for the future

NASA Astrophysics Data System (ADS)

Lund, J. R.

2014-12-01

The current California drought is in its third dry years, with this year being the third driest years in a 106-year record. This drought occurs at a time when urban, agricultural, and environmental water demands have never been greater. This drought has revealed the importance of more quantitative evaluation and methods for water assessment and management. All areas of water and environmental management are likely to become increasingly stressed, and have essentially drought-like conditions, in the future, as California's urban, agricultural, and environmental demands continue to expand and as the climate changes. In the historical past, droughts have pre-viewed stresses developing in the future and helped focus policy-makers, the public, and stakeholders on preparing for these developing future conditions. Multi-decade water management strategies are often galvinized by drought. Irrigation was galvanized by California droughts in the 1800s, reservoir systems by the 1928-32 drought, urban water conservation by the 1976-77 drought, and water markets by the 1988-92 drought. With each drought, demands for tighter accounting, rights, and management have increased. This talk reviews the prospects and challenges for increased development and use of water data and systems analysis in the service of human and environmental water demands in California's highly decentralized water management system, and the prospects if these challenges are not more successfully addressed.

Developing resilience to England's future droughts: time for cap and trade?

PubMed

Mitchell, Gordon; McDonald, Adrian

2015-02-01

Much of England is seriously water stressed and future droughts will present major challenges to the water industry if socially and economically damaging supply restrictions are to be avoided. Demand management is seen as a key mechanism for alleviating water stress, yet there are no truly effective incentives to encourage widespread adoption of the behavioural and technological demand management practices available. Water pricing could promote conservation, but on its own it is an inefficient tool for dealing with short term restriction in water supply. Raising prices over the short term in response to a drought is likely to be ineffectual in lowering demand sufficiently; conversely, maintaining high prices over the long term implies costs to the consumer which are needlessly high most of the time. We propose a system for developing resilience to drought in highly water stressed areas, based on a cap and trade (C&T) model. The system would represent a significant innovation in England's water market. However, international experience shows that C&T is successful in other sectors, and need not be overly complex. Here, we open the debate on how a C&T system might work in England. Copyright © 2014 Elsevier Ltd. All rights reserved.

Gender differences in psychosocial work factors, work-personal life interface, and well-being among Swedish managers and non-managers.

PubMed

Nyberg, Anna; Leineweber, Constanze; Magnusson Hanson, Linda

2015-11-01

To explore differences in psychosocial work factors, work-personal life interface, and well-being between managers and non-managers, female and male managers, and managers in the public and private sectors. Data were drawn from the Swedish Longitudinal Occupational Survey of Health (SLOSH) 2010, including 602 female managers, 4174 female non-managers, 906 male managers, and 2832 male non-managers. Psychosocial work factors, work-personal life interface, satisfaction, and well-being were investigated among non-managers and managers and male and female managers, using logistic regression analyses adjusted for age, educational level, staff category, and labour market sector. Both female and male managers reported high job demands and interference between work and personal life, but also high influence, high satisfaction with work and life, and low amount of sickness absence more often than non-managers of the same sex. However, female managers reported high quantitative and emotional demands, low influence, and work-personal life interference more frequently than male managers. More psychosocial work stressors were also reported in the public sector, where many women work. Male managers more often reported conflicts with superiors, lack of support, and personal life-work interference. Female managers reported poor well-being to a greater extent than male managers, but were more satisfied with their lives. Lack of motivation due to limited increase in satisfaction and organisational benefits is not likely to hinder women from taking on managerial roles. Managerial women's higher overall demands, lower influence at work, and poorer well-being relative to men's could hinder female managers from reaching higher organisational levels.

Hotel water consumption at a seasonal mass tourist destination. The case of the island of Mallorca.

PubMed

Deyà Tortella, Bartolomé; Tirado, Dolores

2011-10-01

While it is true that tourism is one of the main driving forces behind economic growth in several world regions, it is also true that tourism can have serious negative environmental impacts, especially with regard to water resources. The tourist water demand can generate big problems of sustainability, mainly in those regions where water is scarce, as occurs in most coastal and small island destinations where a large part of world tourism is concentrated. Given the shortage of literature on the subject, further research into the tourist water demand is required, with particular attention to the hotel sector, since hotels are the most popular option for tourists, displaying higher levels of water consumption. The main purpose of this study is to develop a model to analyse hotel water consumption at a mature sun and sand destination with a strong seasonal pattern and scarcity of water; characteristics shared by some of the world's main tourist destinations. Our model includes a set of different hotel variables associated with physical, seasonal and management-related factors and it improves on the capacity to explain water consumption at such destinations. Following a hierarchical regression methodology, the model is empirically tested through a survey distributed to managers of a representative sample of hotels on the island of Mallorca. From the obtained results, interesting recommendations can be made for both hotel managers and policy makers. Among these, it should be highlighted that the strategic move contemplated by many mature destinations towards a higher quality, low-season model could have significant negative effects in terms of the sustainability of water resources. Our results also conclude that managerial decisions, like the system of accommodation that is offered (i.e. the proliferation of the "all-inclusive" formula, both at mature and new destinations), could give rise to the same negative effect. Development of water saving initiatives (usually introduced in response to demand-based factors), also reveals significant effects over water consumption. Finally, other key factor in explaining hotel water consumption is the management system under which the hotel is run. Copyright © 2011 Elsevier Ltd. All rights reserved.

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California

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

Lekov, Alex; Thompson, Lisa; McKane, Aimee

2009-05-11

This report summarizes the Lawrence Berkeley National Laboratory's research to date in characterizing energy efficiency and open automated demand response opportunities for industrial refrigerated warehouses in California. The report describes refrigerated warehouses characteristics, energy use and demand, and control systems. It also discusses energy efficiency and open automated demand response opportunities and provides analysis results from three demand response studies. In addition, several energy efficiency, load management, and demand response case studies are provided for refrigerated warehouses. This study shows that refrigerated warehouses can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiencymore » measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for open automated demand response (OpenADR) at little additional cost. These improved controls may prepare facilities to be more receptive to OpenADR due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.« less

Work family conflict in its relations to perceived working situation and work engagement.

PubMed

Mache, Stefanie; Bernburg, Monika; Groneberg, David A; Klapp, Burghard F; Danzer, Gerhard

2016-02-15

These days physicians' work is characterized by an increase in economic demands, pressure and challenges in establishing a balance between work and family life. The current study investigates the relationship between physicians' job demands and resources, perceived job stress, work-family conflict, work engagement and job satisfaction. 564 clinicians specialising in different medical fields participated in the cross-sectional study. Self-administered questionnaires, including the COPSOQ and the UWES- Scale were administered. Our results illustrated significant relationships between physicians' work engagement and their job satisfaction as well as between job stress and work family conflict. Moreover, perceived job stress moderated the effect of high job demands on work family conflict. In addition, significant gender differences have been found in perceived stress levels, work family conflict and work engagement. This study proves and verified associations between work engagement, work-family conflict, job demands and resources that may influence employees' satisfaction. Implications for both working physicians and hospital management are given.

Seasonal temperatures have more influence than nitrogen fertilizer rates on cucumber yield and nitrogen uptake in a double cropping system.

PubMed

Guo, Ruiying; Li, Xiaolin; Christie, Peter; Chen, Qing; Zhang, Fusuo

2008-02-01

Two-year greenhouse cucumber experiments were conducted to investigate seasonal effects on fruit yield, dry matter allocation, and N uptake in a double-cropping system with different fertilizer management. Seasonal effects were much greater than fertilizer effects, and winter-spring (WS) cucumber attained higher fruit yields and N uptake than autumn-winter (AW) cucumber due to lower cumulative air temperatures during fruit maturation in the AW season. Fertilizer N application and apparent N loss under recommended N management (Nmr) decreased by 40-78% and 33-48% without yield loss compared to conventional N management (Nmt) over four growing seasons. However, there were no seasonal differences in N recommendations, taking into consideration seasonal differences in crop N demand, critical nutrient supply in the root zone and N mineralization rate.

A narrative review on the effect of economic downturns on the nursing labour market: implications for policy and planning.

PubMed

Alameddine, Mohamad; Baumann, Andrea; Laporte, Audrey; Deber, Raisa

2012-08-20

Economic downturns and recession lead to budget cuts and service reductions in the healthcare sector which often precipitate layoffs and hiring freezes. Nurses, being the largest professional group in healthcare, are strongly affected by cost reductions. Economic downturns destabilize the nursing labour market with potential negative outcomes, including serious shortages, extending beyond the recessionary period. The objectives of this manuscript are to provide an overview of the potential short- and long-run impact of economic downturns on the supply and demand of nurses, and present healthcare decision makers with a framework to enhance their ability to strategically manage their human resources through economic cycles.A narrative review of the literature on the effects of economic downturns on the nursing labour market in developed countries was carried out with a special focus on studies offering a longitudinal examination of labour force trends. Analysis indicates that economic downturns limit the ability of public payers and institutions to finance their existing health workforce. As salaried healthcare workers, nurses are especially susceptible to institutional budget cuts. In the short run, economic downturns may temporarily reduce the demand for and increase the supply of nurses, thereby influencing nursing wages and turnover rates. These effects may destabilise the nursing labour market in the long run. After economic downturns, the market would quickly display the pre-recessionary trends and there may be serious demand-supply imbalances resulting in severe shortages. Potential long-term effects of recession on the nursing labour market may include a downsized active workforce, difficulty in retaining younger nurses, a decreased supply of nurses and workforce casualisation.Lack of understanding of labour market dynamics and trends might mislead policy makers into making misinformed workforce downsizing decisions that are often difficult and expensive to reverse. In the aftermath of an economic downturn, the costs of attracting nurses back often outweigh the short term cost savings. Effective management should support the nursing workforce by creating attractive and stable work environments to retain nurses at a manageable cost.

Overcoming constraints to the implementation of water demand management in southern Africa

NASA Astrophysics Data System (ADS)

Mwendera, E. J.; Hazelton, D.; Nkhuwa, D.; Robinson, P.; Tjijenda, K.; Chavula, G.

This paper presents results of a study on water demand management status and overcoming constraints to implementation of water demand management in the southern African region, as part of Phase II of water demand management (WDM) programme implemented by the IUCN (The World Conservation Union). The study was conducted in Malawi, Namibia, South Africa, Swaziland, Zambia and Zimbabwe. The study methodology consisted of a survey of literature, and interviewing and communicating with stakeholders in order to learn from stakeholders on the critical constraints to WDM implementation and strategies to overcome them. The study has shown that, despite the potential savings that would accrue from implementation of WDM, the water sector across the southern African region continues to focus on water supply augmentation. There are inadequate financial and human resources for rehabilitation, operation and maintenance of water conveyance systems resulting in system leaks, which contribute to high levels of unaccounted-for water, a situation that masks the potential benefits of WDM. In most countries, the water sector operates on ad-hoc sub-sector water user objectives, which provided guidelines only for development and management purposes. Most of the institutional frameworks have remained diffuse, resulting into poor performance in the sector, and into crisis management in the water resources development. Though the WDM policy in most countries is already accessible through guidelines for catchment management institutions and water supply institutions; there is a lack of broad commitment to implementing them. In other countries the instruments are relatively new and have not been applied widely. Similarly, the effectiveness of instruments has not been well evaluated in most countries. In countries where policy is weak there is often a lack of clarity as to who is responsible for WDM implementation, and even less clarity on who is responsible for facilitating and monitoring implementation, and taking appropriate action when a serious case of non-performance occurs. Thus, one of the main strategies to overcome constraints to implementing WDM in the region is through high-level advocacy to increase awareness among the stakeholders at different levels on the needs and benefits of WDM. There is also need for capacity building that target the private and public sector planners responsible for development of proposals, as well as at scheme managers and operators who have to implement WDM. The results of study have indicated that it is not sufficient to know how to implement WDM. One needs to know what requires implementation, when to implement it, how to select and motivate the most appropriate parties to implement it and how to audit the results.

Military Training: DOD’s Annual Sustainable Ranges Report Addressed Statutory Reporting Requirements

DTIC Science & Technology

2015-06-01

electromagnetic spectrum, (5) continued growth in domestic use of Unmanned Aerial Systems, (6) early coordination with renewable energy industry, and (7...unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 United States Government...challenges; (4) manage increasing military demand for range space; (5) address effects from new energy infrastructure and renewable energy effects; (6

Animal Health and Welfare Issues Facing Organic Production Systems

PubMed Central

Sutherland, Mhairi A.; Webster, Jim; Sutherland, Ian

2013-01-01

Simple Summary The demand for organically grown, animal derived produce is increasing due to a growing desire for consumer products that have minimal chemical inputs and high animal welfare standards. Evaluation of the scientific literature suggests that a major challenge facing organic animal production systems is the management and treatment of health-related issues. However, implementation of effective management practices can help organic animal producers achieve and maintain high standards of health and welfare, which is necessary to assure consumers that organic animal-based food and fibre has not only been produced with minimal or no chemical input, but under high standards of animal welfare. Abstract The demand for organically-grown produce is increasing worldwide, with one of the drivers being an expectation among consumers that animals have been farmed to a high standard of animal welfare. This review evaluates whether this expectation is in fact being met, by describing the current level of science-based knowledge of animal health and welfare in organic systems. The primary welfare risk in organic production systems appears to be related to animal health. Organic farms use a combination of management practices, alternative and complementary remedies and convenional medicines to manage the health of their animals and in many cases these are at least as effective as management practices employed by non-organic producers. However, in contrast to non-organic systems, there is still a lack of scientifically evaluated, organically acceptable therapeutic treatments that organic animal producers can use when current management practices are not sufficient to maintain the health of their animals. The development of such treatments are necessary to assure consumers that organic animal-based food and fibre has not only been produced with minimal or no chemical input, but under high standards of animal welfare. PMID:26479750

Towards decision support for waiting lists: an operations management view.

PubMed

Vissers, J M; Van Der Bij, J D; Kusters, R J

2001-06-01

This paper considers the phenomenon of waiting lists in a healthcare setting, which is characterised by limitations on the national expenditure, to explore the potentials of an operations management perspective. A reference framework for waiting list management is described, distinguishing different levels of planning in healthcare--national, regional, hospital and process--that each contributes to the existence of waiting lists through managerial decision making. In addition, different underlying mechanisms in demand and supply are distinguished, which together explain the development of waiting lists. It is our contention that within this framework a series of situation specific models should be designed to support communication and decision making. This is illustrated by the modelling of the demand for cataract treatment in a regional setting in the south-eastern part of the Netherlands. An input-output model was developed to support decisions regarding waiting lists. The model projects the demand for treatment at a regional level and makes it possible to evaluate waiting list impacts for different scenarios to meet this demand.

Does the North Staffordshire slot system control demand of orthopaedic referrals from primary care?

PubMed Central

Bridgman, Stephen; Li, Xuefang; Mackenzie, Gilbert; Dawes, Peter

2005-01-01

Background Attempts to manage general practice demand for orthopaedic outpatient consultations have been made in several areas of the NHS, with little robust evidence on whether or not they work. Aim To evaluate the effect of the North Staffordshire ‘orthopaedic slot system’ on the demand for general practice referrals to orthopaedic outpatients. Method A prospective study of 12 general practices in the slot system, 24 controls, and the 63 other general practices in North Staffordshire. Comparison periods were the baseline year (0); the first calendar year (1); and the first half of the second calendar year (2). A multifactor linear regression model was used. Results Mean referral rate decreased 22% in the slot group in period 1, and was maintained in period 2 (9.40, 7.29, 7.31 referrals per 10 000 population per month for periods 0, 1 and 2, respectively). The control and other groups showed a small decrease in period 1, but in period 2 higher referral rates were observed. The reduction in referrals of 20–40% in participating practices compared to other practices equates to 2–4 referrals per 10 000 patients per month. Conclusions Our study suggests that practices willing and able to take up an offer of a slot system for managing their orthopaedic referrals will be able to significantly reduce referral rates for their patients when compared to similar practices who do not. Further research on the generalisability, effectiveness and cost-effectiveness of such systems is warranted. PMID:16176738

Proceedings of the ERDC-CERL Net Zero Energy (NZE) Installation and Deployed Bases Workshop Held in Colorado Springs, CO. on 3-4 Feb 2009

DTIC Science & Technology

2009-06-01

energy demand is projected to outgrow afford- able supplies even after accounting for the impact of anticipated energy efficiency and management ... management . The purpose of that change would be to facilitate development of a suite of ultra-low- energy solutions that would approach NZE usage by...enabling real-time op- timization of power supply, demand, and storage management for Army facilities, emplacements, or fixed installations of any

Preparing health care organizations for successful case management programs.

PubMed

Bonvissuto, C A; Kastens, J M; Atwell, S R

1997-01-01

This article reports the results of a study of four hospital-based providers in varying stages of implementing case management programs. Three of the providers had most of the necessary elements in place to ensure success, such as a mix of reimbursement sources, an effective and integrated information management system, a full range of clinical services, and continuous quality improvement programs. The authors make several suggestions for key activities that must be pursued by any health care organization seeking to implement a case management program in an era of managed care, tightening reimbursement, and consumer demand for quality care. These include the need to (a) organize essential case management functions under a centralized structure; (b) set realistic, quantifiable targets, and (c) design a communications plan for the program.

Compounding Impacts of Human-Induced Water Stress and Climate Change on Water Availability

NASA Technical Reports Server (NTRS)

Mehran, Ali; AghaKouchak, Amir; Nakhjiri, Navid; Stewardson, Michael J.; Peel, Murray C.; Phillips, Thomas J.; Wada, Yoshihide; Ravalico, Jakin K.

2017-01-01

The terrestrial phase of the water cycle can be seriously impacted by water management and human water use behavior (e.g., reservoir operation, and irrigation withdrawals). Here we outline a method for assessing water availability in a changing climate, while explicitly considering anthropogenic water demand scenarios and water supply infrastructure designed to cope with climatic extremes. The framework brings a top-down and bottom-up approach to provide localized water assessment based on local water supply infrastructure and projected water demands. When our framework is applied to southeastern Australia we find that, for some combinations of climatic change and water demand, the region could experience water stress similar or worse than the epic Millennium Drought. We show considering only the influence of future climate on water supply, and neglecting future changes in water demand and water storage augmentation might lead to opposing perspectives on future water availability. While human water use can significantly exacerbate climate change impacts on water availability, if managed well, it allows societies to react and adapt to a changing climate. The methodology we present offers a unique avenue for linking climatic and hydrologic processes to water resource supply and demand management and other human interactions.

Compounding Impacts of Human-Induced Water Stress and Climate Change on Water Availability.

PubMed

Mehran, Ali; AghaKouchak, Amir; Nakhjiri, Navid; Stewardson, Michael J; Peel, Murray C; Phillips, Thomas J; Wada, Yoshihide; Ravalico, Jakin K

2017-07-24

The terrestrial phase of the water cycle can be seriously impacted by water management and human water use behavior (e.g., reservoir operation, and irrigation withdrawals). Here we outline a method for assessing water availability in a changing climate, while explicitly considering anthropogenic water demand scenarios and water supply infrastructure designed to cope with climatic extremes. The framework brings a top-down and bottom-up approach to provide localized water assessment based on local water supply infrastructure and projected water demands. When our framework is applied to southeastern Australia we find that, for some combinations of climatic change and water demand, the region could experience water stress similar or worse than the epic Millennium Drought. We show considering only the influence of future climate on water supply, and neglecting future changes in water demand and water storage augmentation might lead to opposing perspectives on future water availability. While human water use can significantly exacerbate climate change impacts on water availability, if managed well, it allows societies to react and adapt to a changing climate. The methodology we present offers a unique avenue for linking climatic and hydrologic processes to water resource supply and demand management and other human interactions.

A STUDY ON THE HIERARCHY OF MANAGEMENT ELEMENTS

NASA Astrophysics Data System (ADS)

Suzuki, Nobuyuki; Watanabe, Tadashi

Compared to the late 20th century, the Japanese construction industry has drastically changed its business methodology, outlook and approach in response to global issues and the incredible advances in technology. Such influences, non-exhaustively include the; WTO Government procurement agreement, updating conditions of tendering and contracting, client demands for cost reduction and the rapid penetration of ICT (Information and Communication Technology) into modern society. These days, the significance of controlling Quality, Cost and Time (the so-called QCT) has been recognized as an eternal-triangle by almost all countries, Government organizations and the private sector. However, as the construction industry is exposed to , and influenced by, more and more internal and external dynamic factors, continued reliance on managing and controlling QCT elements on their own is no longer adequate in meeting the growing demands and expectations, and as such control of additional management elements is now essential to avoid problems, or minimize their potential impacts should they occur. This paper utilizes the results of a survey carried out amongst construction managers and consultants in Japan and overseas to develop a spatial network that defines the interaction of management factors as a weighted graphical model. The calculated closeness centrality index of the developed management network model is adopted to identify the initialelement hierarchy, which is then further analyzed using the minimum distance of independent relationships of management elements (Warshall-Floyd algorism methodology), to identify the optimum potential hierarchy for effective construction management. A key result of the analysis is the significance of "Human Resource" in the construction industry management element hierarchy alongside the traditional QCT elements.

User fees and the demand of OHV recreation

Treesearch

Thomas P. Holmes; Jeffrey E. Englin

2005-01-01

The recent boom in the demand for off-highway vehicle (OHV) recreation has created an important policy issue for public land managers who are concerned with the impacts of OHV use on environmental quality. Within the past few years, the U.S. Forest Service has recognized the need for greater authority in managing these recreation areas and has proposed to amend OHV...

Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs - calibration Report for Phoenix Testbed : Final Report. [supporting datasets - Phoenix Testbed

DOT National Transportation Integrated Search

2017-07-26

The datasets in this zip file are in support of FHWA-JPO-16-379, Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Program...

Architecting Integrated System Health Management for Airworthiness

DTIC Science & Technology

2013-09-01

aircraft safety and reliability through condition-based maintenance [Miller et al., 1991]. With the same motivation, Integrated System Health Management...diagnostics and prognostics algorithms. 2.2.2 Health and Usage Monitoring System (HUMS) in Helicopters Increased demand for improved operational safety ...offshore shuttle helicopters traversing the petrol installations in the North Sea, and increased demand for improved operational safety and reduced

The Professional Careers of Graduates of a Management Faculty

ERIC Educational Resources Information Center

Efendiev, Azer Gamidovich; Balabanova, Evgeniia Sergeevna

2010-01-01

The high demand for educational services for training in specialties of economic management, a level that has become increasingly apparent in the past decade and a half, has taken shape as a result of the population's perceptions as to which specialties are the most in demand in Russia's labor market. And yet, as experts in the field of education…

Sustaining Outdoor Recreatoin and Forests in the United States

Treesearch

H. Ken Cordell; Gary T. Green

2001-01-01

The key words in forest management for the 21st century are "sustainable management". In this paper we present an overview of the nature of outdoor recreation demand growth in the United States and its significance in light of the need to sustain the nation's forests. We show that outdoor recreation demand is growing faster now than at any time in the...

Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs - San Mateo Testbed Analysis Plan [supporting datasets - San Mateo Testbed

DOT National Transportation Integrated Search

2017-06-26

This zip file contains files of data to support FHWA-JPO-16-370, Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Program...

Water Resources for our Cities. Resource Papers for College Geography No. 78-2.

ERIC Educational Resources Information Center

Baumann, Duane D.; Dworkin, Daniel

This paper argues that a re-examination of current goals and methodologies and modifications to management practices are necessary if urban water crises are to be minimized. Three problem areas are focused on: (1) the projection of demand and the estimation of supply; (2) the alternatives for balancing demand and supply; and (3) the management of…

Application of a forest-simulation model to assess the energy yield and ecological impact of forest utilization for energy

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

Doyle, T W; Shugart, H H; West, D C

1981-01-01

This study examines the utilization and management of natural forest lands to meet growing wood-energy demands. An application of a forest simulation model is described for assessing energy returns and long-term ecological impacts of wood-energy harvesting under four general silvicultural practices. Results indicate that moderate energy yields could be expected from mild cutting operations which would significantly effect neither the commercial timber market nor the composition, structure, or diversity of these forests. Forest models can provide an effective tool for determining optimal management strategies that maximize energy returns, minimize environmental detriment, and complement existing land-use plans.

From Empiricism to Total Quality Management in Greek Education

NASA Astrophysics Data System (ADS)

Karavasilis, Ioannis; Samoladas, Ioannis; Nedos, Apostolos

Nowadays the education system in Greece moves towards democratization and decentralization. School unit is the cell and the base of the education system. Principal's role is highly demanding, multi-dimensional, and a critical determinant of school performance and effectiveness. The paper proposes an effective organizational plan of school units in Primary Education based on basic administration processes and Total Quality Management. Using theory of emotional intelligence and Blake-Mouton's grid it emphasizes the impact of Principal's leadership on democratizing the school unit, on creating a safe and secure environment and positive school climate and motivating teachers committee to participate in the decision making process.

Time series modelling and forecasting of emergency department overcrowding.

PubMed

Kadri, Farid; Harrou, Fouzi; Chaabane, Sondès; Tahon, Christian

2014-09-01

Efficient management of patient flow (demand) in emergency departments (EDs) has become an urgent issue for many hospital administrations. Today, more and more attention is being paid to hospital management systems to optimally manage patient flow and to improve management strategies, efficiency and safety in such establishments. To this end, EDs require significant human and material resources, but unfortunately these are limited. Within such a framework, the ability to accurately forecast demand in emergency departments has considerable implications for hospitals to improve resource allocation and strategic planning. The aim of this study was to develop models for forecasting daily attendances at the hospital emergency department in Lille, France. The study demonstrates how time-series analysis can be used to forecast, at least in the short term, demand for emergency services in a hospital emergency department. The forecasts were based on daily patient attendances at the paediatric emergency department in Lille regional hospital centre, France, from January 2012 to December 2012. An autoregressive integrated moving average (ARIMA) method was applied separately to each of the two GEMSA categories and total patient attendances. Time-series analysis was shown to provide a useful, readily available tool for forecasting emergency department demand.

The impact of the distance-dependent promotional effect on the promotion cost sharing decision

NASA Astrophysics Data System (ADS)

Sheen, Gwo-Ji; Wang, Shih-Yen; Yeh, Yingchieh

2016-02-01

This paper considers the promotion cost sharing decision between a supplier and a retailer. The customer demand is affected by both national and local promotional effects while the local promotional effect on a customer is dependent on the distance between the retailer and this customer. We propose a continuous approximation approach to modelling the sum of the customer demand in the whole market area served by the retailer. A model is provided to help managers decide on the retail price, the local advertising expenditure, the national advertising expenditure, and the supplier participation rate, with consideration of the influence of distance on the promotional effect. We also find that the supplier's promotion cost sharing rate increases as the market size increases or the influence of distance on the promotional effect decreases. A numerical example is given to show that the nature of distance-dependent promotional effect has a significant impact on the decisions and profits.

"If You Don't Do Parking Management .. Forget Your Behaviour Change, It's Not Going to Work.": Health and Transport Practitioner Perspectives on Workplace Active Travel Promotion.

PubMed

Petrunoff, Nick; Rissel, Chris; Wen, Li Ming

2017-01-01

After having conducted two studies of the effectiveness of workplace travel plans for promoting active travel, we investigated health and transport practitioners' perspectives on implementing workplace travel plans to share some of the lessons learnt. The objectives of this study were to describe perceived elements of effective workplace travel plans, barriers and enablers to workplace travel planning, their experiences of working with the other profession on travel plan implementation, their recommendations for workplace travel planning, and also to explore similarities and differences in transport and health practitioner perspectives. Fourteen health and ten transport practitioners who had prior involvement in workplace travel plan programs were purposefully selected from workplaces in Australia. We conducted 20 in-depth interviews since data saturation had been reached at this point, and data were subject to framework analysis. Perceived essential elements of effective workplace travel plans included parking management; leadership, organisational commitment and governance; skills and other resources like a dedicated travel plan coordinator; and, pre-conditions including supportive transport infrastructure in the surrounds. Recommendations for promoting travel plans included supportive government policy, focusing on business benefits and working at different scales of implementation (e.g. single large worksites and business precincts). Health and transport practitioner perspectives differed, with transport practitioners believing that parking management is the key action for managing travel demand at a worksite. Health practitioners implementing travel plans may require training including concepts of travel demand management, and support from transport planners on parking management strategies. Promoting an understanding of the shared travel behaviour change skills of transport and health practitioners may assist further collaboration. For take-up by organisations to be of sufficient scale to create meaningful population level reductions in driving and increases in active travel, promotion and travel plans should be focused on the priorities of the organisations. Supportive government policy is also required.

“If You Don’t Do Parking Management .. Forget Your Behaviour Change, It’s Not Going to Work.”: Health and Transport Practitioner Perspectives on Workplace Active Travel Promotion

PubMed Central

Rissel, Chris; Wen, Li Ming

2017-01-01

Objectives After having conducted two studies of the effectiveness of workplace travel plans for promoting active travel, we investigated health and transport practitioners’ perspectives on implementing workplace travel plans to share some of the lessons learnt. The objectives of this study were to describe perceived elements of effective workplace travel plans, barriers and enablers to workplace travel planning, their experiences of working with the other profession on travel plan implementation, their recommendations for workplace travel planning, and also to explore similarities and differences in transport and health practitioner perspectives. Materials and Methods Fourteen health and ten transport practitioners who had prior involvement in workplace travel plan programs were purposefully selected from workplaces in Australia. We conducted 20 in-depth interviews since data saturation had been reached at this point, and data were subject to framework analysis. Results Perceived essential elements of effective workplace travel plans included parking management; leadership, organisational commitment and governance; skills and other resources like a dedicated travel plan coordinator; and, pre-conditions including supportive transport infrastructure in the surrounds. Recommendations for promoting travel plans included supportive government policy, focusing on business benefits and working at different scales of implementation (e.g. single large worksites and business precincts). Health and transport practitioner perspectives differed, with transport practitioners believing that parking management is the key action for managing travel demand at a worksite. Conclusions Health practitioners implementing travel plans may require training including concepts of travel demand management, and support from transport planners on parking management strategies. Promoting an understanding of the shared travel behaviour change skills of transport and health practitioners may assist further collaboration. For take-up by organisations to be of sufficient scale to create meaningful population level reductions in driving and increases in active travel, promotion and travel plans should be focused on the priorities of the organisations. Supportive government policy is also required. PMID:28135301

A Study of Demand Response Effect of Thermal Storage Air-Conditioning Systems in Consideration of Electricity Market Prices

NASA Astrophysics Data System (ADS)

Omagari, Yuko; Sugihara, Hideharu; Tsuji, Kiichiro

This paper evaluates the economic impact of the introduction of customer-owned Thermal Storage Air-conditioning (TSA) systems, in an electricity market, from the viewpoint of the load service entity. We perform simulations on the condition that several thousand customers install TSA systems and shift peak demand in an electricity market by one percent. Our numerical results indicate that the purchase cost of the LSE was reduced through load management of customers with TSA systems. The introduction of TSA systems also reduced the volatility of market clearing price and reduced the whole-trade cost in an electricity market.

76 FR 15315 - Agency Forms Undergoing Paperwork Reduction Act Review

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-21

... threats. Surge is defined as a marked increase in demand for resources such as personnel, space and material. Health care providers manage both routine surge (predictable fluctuations in demand associated with the weekly calendar, for example) as well as unusual surge (larger fluctuations in demand caused...

Water resource management: an Indian perspective.

PubMed

Khadse, G K; Labhasetwar, P K; Wate, S R

2012-10-01

Water is precious natural resource for sustaining life and environment. Effective and sustainable management of water resources is vital for ensuring sustainable development. In view of the vital importance of water for human and animal life, for maintaining ecological balance and for economic and developmental activities of all kinds, and considering its increasing scarcity, the planning and management of water resource and its optimal, economical and equitable use has become a matter of the utmost urgency. Management of water resources in India is of paramount importance to sustain one billion plus population. Water management is a composite area with linkage to various sectors of Indian economy including the agricultural, industrial, domestic and household, power, environment, fisheries and transportation sector. The water resources management practices should be based on increasing the water supply and managing the water demand under the stressed water availability conditions. For maintaining the quality of freshwater, water quality management strategies are required to be evolved and implemented. Decision support systems are required to be developed for planning and management of the water resources project. There is interplay of various factors that govern access and utilization of water resources and in light of the increasing demand for water it becomes important to look for holistic and people-centered approaches for water management. Clearly, drinking water is too fundamental and serious an issue to be left to one institution alone. It needs the combined initiative and action of all, if at all we are serious in socioeconomic development. Safe drinking water can be assured, provided we set our mind to address it. The present article deals with the review of various options for sustainable water resource management in India.

Development of robust building energy demand-side control strategy under uncertainty

NASA Astrophysics Data System (ADS)

Kim, Sean Hay

The potential of carbon emission regulations applied to an individual building will encourage building owners to purchase utility-provided green power or to employ onsite renewable energy generation. As both cases are based on intermittent renewable energy sources, demand side control is a fundamental precondition for maximizing the effectiveness of using renewable energy sources. Such control leads to a reduction in peak demand and/or in energy demand variability, therefore, such reduction in the demand profile eventually enhances the efficiency of an erratic supply of renewable energy. The combined operation of active thermal energy storage and passive building thermal mass has shown substantial improvement in demand-side control performance when compared to current state-of-the-art demand-side control measures. Specifically, "model-based" optimal control for this operation has the potential to significantly increase performance and bring economic advantages. However, due to the uncertainty in certain operating conditions in the field its control effectiveness could be diminished and/or seriously damaged, which results in poor performance. This dissertation pursues improvements of current demand-side controls under uncertainty by proposing a robust supervisory demand-side control strategy that is designed to be immune from uncertainty and perform consistently under uncertain conditions. Uniqueness and superiority of the proposed robust demand-side controls are found as below: a. It is developed based on fundamental studies about uncertainty and a systematic approach to uncertainty analysis. b. It reduces variability of performance under varied conditions, and thus avoids the worst case scenario. c. It is reactive in cases of critical "discrepancies" observed caused by the unpredictable uncertainty that typically scenario uncertainty imposes, and thus it increases control efficiency. This is obtainable by means of i) multi-source composition of weather forecasts including both historical archive and online sources and ii) adaptive Multiple model-based controls (MMC) to mitigate detrimental impacts of varying scenario uncertainties. The proposed robust demand-side control strategy verifies its outstanding demand-side control performance in varied and non-indigenous conditions compared to the existing control strategies including deterministic optimal controls. This result reemphasizes importance of the demand-side control for a building in the global carbon economy. It also demonstrates a capability of risk management of the proposed robust demand-side controls in highly uncertain situations, which eventually attains the maximum benefit in both theoretical and practical perspectives.

Insuring Water Sustainability for Resource Extraction in the New Mexico Permian Basin

NASA Astrophysics Data System (ADS)

Lowry, T. S.; Schuhen, M. D.; Lofton, O. W.; Walker, L. T. N.; Johnson, P. B.; Land, L. A.; Herrell, D.

2017-12-01

Advancements in directional drilling and well completion technologies have resulted in an exponential growth in the use of hydraulic fracturing for oil and gas extraction. Within the New Mexico portion of the Permian Basin (see figure), water demand to complete each hydraulically fractured well is estimated to average 7.3 acre-feet (2.4 million gallons), which has resulted in an increase in the regional water demand of over 5000 acre-feet per year. The rise in demand along with proposed rule changes that govern the regulation and management of hydraulic fracturing on Federal and Indian lands (40 CFS 3160) has created concern as to the regions ability to meet the demand in a manner that can sustainably meet the needs of the variety of water users and other stakeholders in the region while also protecting human health and the environment. Funded by the Bureau of Land Management who is charged with managing the regions water resources on Federal lands, this project is addressing those concerns using a multi-disciplinary approach that synthesizes data collection, field verification, and system dynamics (SD) modeling to better understand the dynamics of the regional water supply and demand under different management, policy, and growth scenarios. The scientific challenge has been in bringing together disparate data in a manner that exposes the temporal and spatial dynamics of the regional water supply in the context of increasing demands and changing policy and management scenarios. Field verification and testing activities are used to evaluate existing borehole data to insure that the data are accurate and up to date. The SD model simulates forecasted increases in drilling activity and water demand relative to each water source to identify areas that are most vulnerable and to estimate risk to water sustainability. Key to this is the models ability to seamlessly handle uncertainty such that it produces probabilistic outputs that allow decision makers to explore and better understand the conditions that may render their actions harmful or ineffective, and provides a means to adaptively manage as real-life conditions change over time. This presentation details the field work and data collection activities, the model conceptualization and development process, and provides real-world examples of the models application.

Modelling Per Capita Water Demand Change to Support System Planning

NASA Astrophysics Data System (ADS)

Garcia, M. E.; Islam, S.

2016-12-01

Water utilities have a number of levers to influence customer water usage. These include levers to proactively slow demand growth over time such as building and landscape codes as well as levers to decrease demands quickly in response to water stress including price increases, education campaigns, water restrictions, and incentive programs. Even actions aimed at short term reductions can result in long term water usage declines when substantial changes are made in water efficiency, as in incentives for fixture replacement or turf removal, or usage patterns such as permanent lawn watering restrictions. Demand change is therefore linked to hydrological conditions and to the effects of past management decisions - both typically included in water supply planning models. Yet, demand is typically incorporated exogenously using scenarios or endogenously using only price, though utilities also use rules and incentives issued in response to water stress and codes specifying standards for new construction to influence water usage. Explicitly including these policy levers in planning models enables concurrent testing of infrastructure and policy strategies and illuminates interactions between the two. The City of Las Vegas is used as a case study to develop and demonstrate this modeling approach. First, a statistical analysis of system data was employed to rule out alternate hypotheses of per capita demand decrease such as changes in population density and economic structure. Next, four demand sub-models were developed including one baseline model in which demand is a function of only price. The sub-models were then calibrated and tested using monthly data from 1997 to 2012. Finally, the best performing sub-model was integrated with a full supply and demand model. The results highlight the importance of both modeling water demand dynamics endogenously and taking a broader view of the variables influencing demand change.

When weight management lasts. Lower perceived rule complexity increases adherence.

PubMed

Mata, Jutta; Todd, Peter M; Lippke, Sonia

2010-02-01

Maintaining behavior change is one of the major challenges in weight management and long-term weight loss. We investigated the impact of the cognitive complexity of eating rules on adherence to weight management programs. We studied whether popular weight management programs can fail if participants find the rules too complicated from a cognitive perspective, meaning that individuals are not able to recall or process all required information for deciding what to eat. The impact on program adherence of participants' perceptions of eating rule complexity and other behavioral factors known to influence adherence (including previous weight management, self-efficacy, and planning) was assessed via a longitudinal online questionnaire given to 390 participants on two different popular weight management regimens. As we show, the regimens, Weight Watchers and a popular German recipe diet (Brigitte), strongly differ in objective rule complexity and thus their cognitive demands on the dieter. Perceived rule complexity was the strongest factor associated with increased risk of quitting the cognitively demanding weight management program (Weight Watchers); it was not related to adherence length for the low cognitive demand program (Brigitte). Higher self-efficacy generally helped in maintaining a program. The results emphasize the importance of considering rule complexity to promote long-term weight management. 2009 Elsevier Ltd. All rights reserved.

Results of a massive experiment on virtual currency endowments and money demand.

PubMed

Živić, Nenad; Andjelković, Igor; Özden, Tolga; Dekić, Milovan; Castronova, Edward

2017-01-01

We use a 575,000-subject, 28-day experiment to investigate monetary policy in a virtual setting. The experiment tests the effect of virtual currency endowments on player retention and virtual currency demand. An increase in endowments of a virtual currency should lower the demand for the currency in the short run. However, in the long run, we would expect money demand to rise in response to inflation in the virtual world. We test for this behavior in a virtual field experiment in the football management game Top11. 575,000 players were selected at random and allocated to different "shards" or versions of the world. The shards differed only in terms of the initial money endowment offered to new players. Money demand was observed for 28 days as players used real money to purchase additional virtual currency. The results indicate that player money purchases were significantly higher in the shards where higher endowments were given. This suggests that a positive change in the money supply in a virtual context leads to inflation and increased money demand, and does so much more quickly than in real-world economies. Differences between virtual and real currency behavior will become more interesting as virtual currency becomes a bigger part of the real economy.

Results of a massive experiment on virtual currency endowments and money demand

PubMed Central

Živić, Nenad; Andjelković, Igor; Özden, Tolga; Dekić, Milovan

2017-01-01

We use a 575,000-subject, 28-day experiment to investigate monetary policy in a virtual setting. The experiment tests the effect of virtual currency endowments on player retention and virtual currency demand. An increase in endowments of a virtual currency should lower the demand for the currency in the short run. However, in the long run, we would expect money demand to rise in response to inflation in the virtual world. We test for this behavior in a virtual field experiment in the football management game Top11. 575,000 players were selected at random and allocated to different “shards” or versions of the world. The shards differed only in terms of the initial money endowment offered to new players. Money demand was observed for 28 days as players used real money to purchase additional virtual currency. The results indicate that player money purchases were significantly higher in the shards where higher endowments were given. This suggests that a positive change in the money supply in a virtual context leads to inflation and increased money demand, and does so much more quickly than in real-world economies. Differences between virtual and real currency behavior will become more interesting as virtual currency becomes a bigger part of the real economy. PMID:29045494

Social desirability scales as indicators of self-enhancement and impression management.

PubMed

Parmač Kovačić, Maja; Galić, Zvonimir; Jerneić, Željko

2014-01-01

This article presents 2 studies testing Paulhus's (2002) assumption that unconscious self-enhancement and conscious impression management represent separate processes of socially desirable responding (SDR) that can be observed within 2 content domains (egoistic and moralistic bias). In Study 1, we devised egoistic and moralistic SDR scales intended to measure self-enhancement in honest responding and impression management under demands for positive self-presentation. In Study 2, we correlated scores on these scales with external indicators of self-enhancement and impression management. In honest responding, both SDR scales most strongly correlated with self-enhancement indicators, whereas under demands for positive self-presentation they correlated more strongly with external measures of impression management.

Is cultural activity at work related to mental health in employees?

PubMed

Theorell, Töres; Osika, Walter; Leineweber, Constanze; Magnusson Hanson, Linda L; Bojner Horwitz, Eva; Westerlund, Hugo

2013-04-01

To examine relationships between work-based cultural activities and mental employee health in working Swedes. A positive relationship between frequent cultural activity at work and good employee health was expected. Random sample of working Swedish men and women in three waves, 2006, 2008 and 2010, on average 60 % participation rate. A postal questionnaire with questions about cultural activities organised for employees and about emotional exhaustion (Maslach) and depressive symptoms (short form of SCL). Employee assessments of "non-listening manager" and work environment ("psychological demands" and "decision latitude") as well as socioeconomic variables were covariates. Cross-sectional analyses for each study year as well as prospective analyses for 2006-2008 and 2008-2010 were performed. Lower frequency of cultural activities at work during the period of high unemployment. The effects of relationships with emotional exhaustion were more significant than those with depressive symptoms. The associations were attenuated when adjustments were made for manager function (does your manager listen?) and demand/control. Associations were more pronounced during the period with low unemployment and high cultural activity at work (2008). In a prospective analysis, cultural activity at work in 2008 had an independent statistically significant "protective" effect on emotional exhaustion in 2010. No corresponding such association was found between 2006 and 2008. Cultural activities at work vary according to business cycle and have a statistical association with mental employee health, particularly with emotional exhaustion. There are particularly pronounced statistical protective effects of frequent cultural activity at work on likelihood of emotional exhaustion among employees.

Building an Efficient and Effective Test Management System in an ODL Institution

ERIC Educational Resources Information Center

Yusof, Safiah Md; Lim, Tick Meng; Png, Leo; Khatab, Zainuriyah Abd; Singh, Harvinder Kaur Dharam

2017-01-01

Open University Malaysia (OUM) is progressively moving towards implementing assessment on demand and online assessment. This move is deemed necessary for OUM to continue to be the leading provider of flexible learning. OUM serves a very large number of students each semester and these students are vastly distributed throughout the country. As the…

Design and Evaluation of Wood Processing Facilities Using Object-Oriented Simulation

Treesearch

D. Earl Kline; Philip A. Araman

1992-01-01

Managers of hardwood processing facilities need timely information on which to base important decisions such as when to add costly equipment or how to improve profitability subject to time-varying demands. The overall purpose of this paper is to introduce a tool that can effectively provide such timely information. A simulation/animation modeling procedure is described...

Effective Leadership and Management in the Early Years

ERIC Educational Resources Information Center

Moyles, Janet

2006-01-01

There has recently been an unprecedented focus on early years care and education, particularly on the impact of the various adults who work and play with children in the birth to five/six-years age range. Staff in early years settings have had to adapt to many changes and demands, locally and nationally, from local authorities and national…

Lighting Control Systems

DTIC Science & Technology

2004-02-26

Shorter payback periods After 19 Cost Benefit of Powerlink Rule of Thumb for Powerlink: Powerlink becomes more cost effective beyond 16 controlled...web enabled control (and management software) Increase in level of integration between building systems Increase in new features, functions, benefits ...focus on reducing run-time via Scheduling, Sensing, Switching Growing focus on payback Direct energy cost (with demand) Additional maintenance benefits

Use density, visitor experience, and limiting recreational use in wilderness: progress to date and research needs

Treesearch

Wayne A. Freimund; David N. Cole

2001-01-01

Recent increases in demand have revitalized interest and controversy surrounding use limits and the effect of visitor density on wilderness experiences. A workshop held in Missoula, Montana, in June of 2000 addressed the potential for social science to contribute to understanding and managing increasingly populated wilderness conditions. Scientists identified progress...

Collaborating with Parents to Establish Behavioral Goals in Child-Centered Play Therapy

ERIC Educational Resources Information Center

Post, Phyllis B.; Ceballos, Peggy L.; Penn, Saundra L.

2012-01-01

The purpose of this article is to provide specific guidelines for child-centered play therapists to set behavioral outcome goals to effectively work with families and to meet the demands for accountability in the managed care environment. The child-centered play therapy orientation is the most widely practiced approach among play therapists who…

Higher Education Scholarships: A Review of Their Impact on Workplace Retention and Career Progression

ERIC Educational Resources Information Center

Foreman, Emma; Perry, Carolyn; Wheeler, Amanda

2015-01-01

The community-managed mental health sector is facing a crisis. Funding is less certain, demand for services is increasing, and retaining a skilled and competent workforce is proving a challenge. In order to respond to this workforce crisis a literature review was conducted on the effectiveness of higher education scholarship programmes, as a…

Use of a mixed sericea lespedeza and grass pasture system for control of gastrointestinal nematodes in lambs and kids

USDA-ARS?s Scientific Manuscript database

Because of a high prevalence of anthelmintic resistance and consumer demand for chemical free meat products, management tools to minimize the need for deworming are needed. The objective was to examine the effectiveness of grazing sericea lespedeza (SL) in a mixed grass or a pure forage system for ...

Effect of Herbicides on Soil Productivity and Water Quality

Treesearch

Daniel G. Neary; Jerry L. Michael

1989-01-01

The southern yellow pine and hardwood forests of the South constitute some of the most intensively managed forest ecosystems in the world (Stone 1983; Kellison and Gingrich 1982). These forests also occur in a region with one of the fastest growing human populations in the United States. Furthermore, future resource demands in the South will certainly intensify...

Internet pharmaceutical sales: attributes, concerns, and future forecast.

PubMed

Bruckel, Katy; Capozzoli, Ernest A

2003-01-01

Internet pharmaceutical sales continue to skyrocket as healthcare providers and consumers are increasingly relying on the efficiencies and convenience that is available via such transactions. Managed care companies, increasing demands to reduce healthcare inefficiencies while maximizing the quality of patient care is a significant contributing factor to the expanding utilization and success of online pharmaceutical sales. However, with the expansion of Internet pharmaceutical sales, healthcare providers, pharmacy benefit management and insurance companies, and consumers realize new opportunities and risks. This paper will review the attributes and concerns associated with online pharmaceutical sales, discussing current and pending legislation intended to more effectively manage these parameters.