Understanding a basic biological process: Expert and novice models of meiosis

NASA Astrophysics Data System (ADS)

Kindfield, Ann C. H.

Central to secondary and college-level biology instruction is the development of student understanding of a number of subcellular processes. Yet some of the most crucial are consistently cited as the most difficult components of biology to learn. Among these is meiosis. In this article I report on the meiosis models utilized by five individuals at each of three levels of expertise in genetics as each reasoned about this process in an individual interview setting. Detailed characterization of individual meiosis models and comparison among models revealed a set of biologically correct features common to all individuals' models as well as a variety of model flaws (i.e., meiosis misunderstandings) which are categorized according to type and level of expertise. These results are suggestive of both sources of various misunderstandings and factors that might contribute to the construction of a sound understanding of meiosis. Each of these is addressed in relation to their respective implications for instruction.

Design Assessment: "Consumer Reports" Style

ERIC Educational Resources Information Center

Kelley, Todd R.

2010-01-01

Novices to the design process often struggle at first to understand the various stages of design. Learning to design is a process not easily mastered, and therefore requires multiple levels of exposure to the design process. It is helpful if teachers are able to implement various entry-level design assignments such as reverse-engineering…

Understanding the Microstructure and Macrostructure of Passages Among Chinese Elementary School Children.

PubMed

Lo, Lap-Yan; Ho, Connie Suk-Han; Wong, Yau-Kai; Chan, David Wai-Ock; Chung, Kevin Kien-Hoa

2016-12-01

Understanding the microstructure and macrostructure of passages is important for reading comprehension. What cognitive-linguistic skills may contribute to understanding these two levels of structures has rarely been investigated. The present study examined whether some word-level and text-level cognitive-linguistic skills may contribute differently to the understanding of microstructure and macrostructure respectively. Seventy-nine Chinese elementary school children were tested on some cognitive-linguistic skills and literacy skills. It was found that word reading fluency and syntactic skills predicted significantly the understanding of microstructure of passages after controlling for age and IQ; while morphological awareness, syntactic skills, and discourse skills contributed significantly to understanding of macrostructure. These findings suggest that syntactic skills facilitate children's access of meaning from grammatical structures, which is a fundamental process in gaining text meaning at any level of reading comprehension. Discourse skills also allow readers to understand the cohesive interlinks within and between sentences and is important for a macro level of passage understanding.

Capturing dynamic processes of change in GROW mutual help groups for mental health.

PubMed

Finn, Lizzie D; Bishop, Brian J; Sparrow, Neville

2009-12-01

The need for a model that can portray dynamic processes of change in mutual help groups for mental health (MHGMHs) is emphasized. A dynamic process model has the potential to capture a more comprehensive understanding of how MHGMHs may assist their members. An investigation into GROW, a mutual help organization for mental health, employed ethnographic, phenomenological and collaborative research methods. The study examined how GROW impacts on psychological well being. Study outcomes aligned with the social ecological paradigm (Maton in Understanding the self-help organization: frameworks and findings. Sage, Thousand Oaks 1994) indicating multifactorial processes of change at and across three levels of analysis: group level, GROW program/community level and individual level. Outcome themes related to life skills acquisition and a change in self-perception in terms of belonging within community and an increased sense of personal value. The GROW findings are used to assist development of a dynamic multi-dimensional process model to explain how MHGMHs may promote positive change.

Understanding Patients' Process to Use Medical Marijuana: A Southern New Jersey Community Engagement Project.

PubMed

Crowell, Tara L

2016-09-01

Given the necessity to better understand the process patients need to go through in order to seek treatment via medical marijuana, this study investigates this process to better understand this phenomenon. Specifically, Compassion Care Foundation (CCF) and Stockton University worked together to identify a solution to this problem. Specifically, 240 new patients at CCF were asked to complete a 1-page survey regarding various aspects associated with their experience prior to their use of medicinal marijuana-diagnosis, what prompted them to seek treatment, level of satisfaction with specific stages in the process, total length of time the process took, and patient's level of pain. Results reveal numerous patient diagnoses for which medical marijuana is being prescribed; the top 4 most common are intractable skeletal spasticity, chronic and severe pain, multiple sclerosis, and inflammatory bowel disease. Next, results indicate a little over half of the patients were first prompted to seek alternative treatment from their physicians, while the remaining patients indicated that other sources such as written information along with friends, relatives, media, and the Internet persuaded them to seek treatment. These data indicate that a variety of sources play a role in prompting patients to seek alternative treatment and is a critical first step in this process. Additional results posit that once patients began the process of qualifying to receive medical marijuana as treatment, the process seemed more positive even though it takes patients on average almost 6 months to obtain their first treatment after they started the process. Finally, results indicate that patients are reporting a moderately high level of pain prior to treatment. Implication of these results highlights several important elements in the patients' initial steps toward seeking medical marijuana, along with the quality and quantity of the process patients must engage in prior to obtaining treatment. In addition, identifying patients' level of pain and better understanding the possible therapeutic value of medical marijuana are essential to patients and health practitioners.

[The effect of encoding on false memory: examination on levels of processing and list presentation format].

PubMed

Hamajima, Hideki

2004-04-01

Using the Deese/Roediger-McDermott paradigm, the effects of lists presentation format (blocked/random) and levels of processing of critical nonpresented lures were examined. A levels-of-processing effect in a blocked presentation order was not observed for lures. Rates of false recognition and remember judgments for lures in a shallow level of processing were significantly lower than those in a deep level of processing when items from various themes were inter-mixed instead of blocked. Results showed an interaction between levels of processing and list presentation format. It is thus concluded that encoding of each word and whole list should be both considered in understanding false memory.

Understanding Business Analytics

DTIC Science & Technology

2015-01-05

analytics have been used in organizations for a variety of reasons for quite some time; ranging from the simple (generating and understanding business analytics...process. understanding business analytics 3 How well these two components are orchestrated will determine the level of success an organization has in

Understanding Reactions to Workplace Injustice through Process Theories of Motivation: A Teaching Module and Simulation

ERIC Educational Resources Information Center

Stecher, Mary D.; Rosse, Joseph G.

2007-01-01

Management and organizational behavior students are often overwhelmed by the plethora of motivation theories they must master at the undergraduate level. This article offers a teaching module geared toward helping students understand how two major process theories of motivation, equity and expectancy theories and theories of organizational…

The Influence of Toy Design Activities on Middle School Students' Understanding of the Engineering Design Processes

ERIC Educational Resources Information Center

Zhou, Ninger; Pereira, Nielsen L.; Tarun, Thomas George; Alperovich, Jeffrey; Booth, Joran; Chandrasegaran, Senthil; Tew, Jeffrey David; Kulkarni, Devadatta M.; Ramani, Karthik

2017-01-01

The societal demand for inspiring and engaging science, technology, engineering, and mathematics (STEM) students and preparing our workforce for the emerging creative economy has necessitated developing students' self-efficacy and understanding of engineering design processes from as early as elementary school levels. Hands-on engineering design…

Understanding Ozone: Exploring the Good and Bad Facets of a Famous Gas.

ERIC Educational Resources Information Center

Hanif, Muhammad

1995-01-01

Presents activities that help students distinguish between the beneficial layer of stratospheric ozone and the dangerous ground-level or tropospheric ozone, understand the chemical processes of ozone breakdown in the stratosphere, find the sources of ground-level ozone, and explore the differences in the patterns of ozone concentration over the…

A global "imaging'' view on systems approaches in immunology.

PubMed

Ludewig, Burkhard; Stein, Jens V; Sharpe, James; Cervantes-Barragan, Luisa; Thiel, Volker; Bocharov, Gennady

2012-12-01

The immune system exhibits an enormous complexity. High throughput methods such as the "-omic'' technologies generate vast amounts of data that facilitate dissection of immunological processes at ever finer resolution. Using high-resolution data-driven systems analysis, causal relationships between complex molecular processes and particular immunological phenotypes can be constructed. However, processes in tissues, organs, and the organism itself (so-called higher level processes) also control and regulate the molecular (lower level) processes. Reverse systems engineering approaches, which focus on the examination of the structure, dynamics and control of the immune system, can help to understand the construction principles of the immune system. Such integrative mechanistic models can properly describe, explain, and predict the behavior of the immune system in health and disease by combining both higher and lower level processes. Moving from molecular and cellular levels to a multiscale systems understanding requires the development of methodologies that integrate data from different biological levels into multiscale mechanistic models. In particular, 3D imaging techniques and 4D modeling of the spatiotemporal dynamics of immune processes within lymphoid tissues are central for such integrative approaches. Both dynamic and global organ imaging technologies will be instrumental in facilitating comprehensive multiscale systems immunology analyses as discussed in this review. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Learning difficulties of senior high school students based on probability understanding levels

NASA Astrophysics Data System (ADS)

Anggara, B.; Priatna, N.; Juandi, D.

2018-05-01

Identifying students' difficulties in learning concept of probability is important for teachers to prepare the appropriate learning processes and can overcome obstacles that may arise in the next learning processes. This study revealed the level of students' understanding of the concept of probability and identified their difficulties as a part of the epistemological obstacles identification of the concept of probability. This study employed a qualitative approach that tends to be the character of descriptive research involving 55 students of class XII. In this case, the writer used the diagnostic test of probability concept learning difficulty, observation, and interview as the techniques to collect the data needed. The data was used to determine levels of understanding and the learning difficulties experienced by the students. From the result of students' test result and learning observation, it was found that the mean cognitive level was at level 2. The findings indicated that students had appropriate quantitative information of probability concept but it might be incomplete or incorrectly used. The difficulties found are the ones in arranging sample space, events, and mathematical models related to probability problems. Besides, students had difficulties in understanding the principles of events and prerequisite concept.

The pathophysiology of post-stroke aphasia: A network approach.

PubMed

Thiel, Alexander; Zumbansen, Anna

2016-06-13

Post-stroke aphasia syndromes as a clinical entity arise from the disruption of brain networks specialized in language production and comprehension due to permanent focal ischemia. This approach to post-stroke aphasia is based on two pathophysiological concepts: 1) Understanding language processing in terms of distributed networks rather than language centers and 2) understanding the molecular pathophysiology of ischemic brain injury as a dynamic process beyond the direct destruction of network centers and their connections. While considerable progress has been made in the past 10 years to develop such models on a systems as well as a molecular level, the influence of these approaches on understanding and treating clinical aphasia syndromes has been limited. In this article, we review current pathophysiological concepts of ischemic brain injury, their relationship to altered information processing in language networks after ischemic stroke and how these mechanisms may be influenced therapeutically to improve treatment of post-stroke aphasia. Understanding the pathophysiological mechanism of post-stroke aphasia on a neurophysiological systems level as well as on the molecular level becomes more and more important for aphasia treatment, as the field moves from standardized therapies towards more targeted individualized treatment strategies comprising behavioural therapies as well as non-invasive brain stimulation (NIBS).

Six sigma: process of understanding the control and capability of ranitidine hydrochloride tablet.

PubMed

Chabukswar, Ar; Jagdale, Sc; Kuchekar, Bs; Joshi, Vd; Deshmukh, Gr; Kothawade, Hs; Kuckekar, Ab; Lokhande, Pd

2011-01-01

The process of understanding the control and capability (PUCC) is an iterative closed loop process for continuous improvement. It covers the DMAIC toolkit in its three phases. PUCC is an iterative approach that rotates between the three pillars of the process of understanding, process control, and process capability, with each iteration resulting in a more capable and robust process. It is rightly said that being at the top is a marathon and not a sprint. The objective of the six sigma study of Ranitidine hydrochloride tablets is to achieve perfection in tablet manufacturing by reviewing the present robust manufacturing process, to find out ways to improve and modify the process, which will yield tablets that are defect-free and will give more customer satisfaction. The application of six sigma led to an improved process capability, due to the improved sigma level of the process from 1.5 to 4, a higher yield, due to reduced variation and reduction of thick tablets, reduction in packing line stoppages, reduction in re-work by 50%, a more standardized process, with smooth flow and change in coating suspension reconstitution level (8%w/w), a huge cost reduction of approximately Rs.90 to 95 lakhs per annum, an improved overall efficiency by 30% approximately, and improved overall quality of the product.

Six Sigma: Process of Understanding the Control and Capability of Ranitidine Hydrochloride Tablet

PubMed Central

Chabukswar, AR; Jagdale, SC; Kuchekar, BS; Joshi, VD; Deshmukh, GR; Kothawade, HS; Kuckekar, AB; Lokhande, PD

2011-01-01

The process of understanding the control and capability (PUCC) is an iterative closed loop process for continuous improvement. It covers the DMAIC toolkit in its three phases. PUCC is an iterative approach that rotates between the three pillars of the process of understanding, process control, and process capability, with each iteration resulting in a more capable and robust process. It is rightly said that being at the top is a marathon and not a sprint. The objective of the six sigma study of Ranitidine hydrochloride tablets is to achieve perfection in tablet manufacturing by reviewing the present robust manufacturing process, to find out ways to improve and modify the process, which will yield tablets that are defect-free and will give more customer satisfaction. The application of six sigma led to an improved process capability, due to the improved sigma level of the process from 1.5 to 4, a higher yield, due to reduced variation and reduction of thick tablets, reduction in packing line stoppages, reduction in re-work by 50%, a more standardized process, with smooth flow and change in coating suspension reconstitution level (8%w/w), a huge cost reduction of approximately Rs.90 to 95 lakhs per annum, an improved overall efficiency by 30% approximately, and improved overall quality of the product. PMID:21607050

Stalking the IQ Quark.

ERIC Educational Resources Information Center

Sternberg, Robert J.

1979-01-01

An information-processing framework is presented for understanding intelligence. Two levels of processing are discussed: the steps involved in solving a complex intellectual task, and higher-order processes used to decide how to solve the problem. (MH)

Growth in Mathematical Understanding: How Can We Characterise It and How Can We Represent It?

ERIC Educational Resources Information Center

Pirie, Susan; Kieren, Thomas

1994-01-01

Proposes a model for the growth of mathematical understanding based on the consideration of understanding as a whole, dynamic, leveled but nonlinear process. Illustrates the model using the concept of fractions. How to map the growth of understanding is explained in detail. (Contains 26 references.) (MKR)

Contribution of vertical land motions to coastal sea level variations: a global synthesis of multisatellite altimetry, tide gauge and GPS measurements

NASA Astrophysics Data System (ADS)

Pfeffer, Julia; Allemand, Pascal

2016-04-01

Coastal sea level variations result from a complex mix of climatic, oceanic and geodynamical processes driven by natural and anthropogenic constraints. Combining data from multiple sources is one solution to identify particular processes and progress towards a better understanding of the sea level variations and the assessment of their impacts at coast. Here, we present a global database merging multisatellite altimetry with tide gauges and Global Positioning System (GPS) measurements. Vertical land motions and sea level variations are estimated simultaneously for a network of 886 ground stations with median errors lower than 1 mm/yr. The contribution of vertical land motions to relative sea level variations is explored to better understand the natural hazards associated with sea level rise in coastal areas. Worldwide, vertical land motions dominate 30 % of observed coastal trends. The role of the crust is highly heterogeneous: it can amplify, restrict or counter the effects of climate-induced sea level change. A set of 182 potential vulnerable localities are identified by large coastal subsidence which increases by several times the effects of sea level rise. Though regional behaviours exist, principally caused by GIA (Glacial Isostatic Adjustment), the local variability in vertical land motion prevails. An accurate determination of the vertical motions observed at the coast is fundamental to understand the local processes which contribute to sea level rise, to appraise its impacts on coastal populations and make future predictions.

Grapefruit (Citrus paradisi Macfad) phytochemicals composition is modulated by household processing techniques.

PubMed

Uckoo, Ram M; Jayaprakasha, Guddadarangavvanahally K; Balasubramaniam, V M; Patil, Bhimanagouda S

2012-09-01

Grapefruits (Citrus paradisi Macfad) contain several phytochemicals known to have health maintaining properties. Due to the consumer's interest in obtaining high levels of these phytochemicals, it is important to understand the changes in their levels by common household processing techniques. Therefore, mature Texas "Rio Red" grapefruits were processed by some of the common household processing practices such as blending, juicing, and hand squeezing techniques and analyzed for their phytochemical content by high performance liquid chromatography (HPLC). Results suggest that grapefruit juice processed by blending had significantly (P < 0.05) higher levels of flavonoids (narirutin, naringin, hesperidin, neohesperidin, didymin, and poncirin) and limonin compared to juicing and hand squeezing. No significant variation in their content was noticed in the juice processed by juicing and hand squeezing. Ascorbic acid and citric acid were significantly (P < 0.05) higher in juice processed by juicing and blending, respectively. Furthermore, hand squeezed fruit juice had significantly higher contents of dihydroxybergamottin (DHB) than juice processed by juicing and blending. Bergamottin and 5-methoxy-7 gernoxycoumarin (5-M-7-GC) were significantly higher in blended juice compared to juicing and hand squeezing. Therefore, consuming grapefruit juice processed by blending may provide higher levels of health beneficial phytochemicals such as naringin, narirutin, and poncirin. In contrast, juice processed by hand squeezing and juicing provides lower levels of limonin, bergamottin, and 5-M-7-GC. These results suggest that, processing techniques significantly influence the levels of phytochemicals and blending is a better technique for obtaining higher levels of health beneficial phytochemicals from grapefruits. Practical Application:  Blending, squeezing, and juicing are common household processing techniques used for obtaining fresh grapefruit juice. Understanding the levels of health beneficial phytochemicals present in the juice processed by these techniques would enable the consumers to make a better choice to obtain high level of these compounds. © 2012 Institute of Food Technologists®

Biosciences | Argonne National Laboratory

Science.gov Websites

understanding of the fundamental molecular mechanisms of life. Our goal is to enable important advances in processes at the molecular level. As a division, our goals include gaining predictive understanding of

A Developmental Analysis of Children's Understanding of the Learning Process.

ERIC Educational Resources Information Center

Tharinger, Deborah

The development of children's understanding of the learning process and factors that affect learning was explored with a sample of 18 children from 6 to 13 years of age. Subjects were interviewed, and three levels of their reasoning were identified. The 6- to 7-year-old subjects viewed learning as "doing" and reasoned that…

Understanding a Basic Biological Process: Expert and Novice Models of Meiosis.

ERIC Educational Resources Information Center

Kindfield, Ann C. H.

The results of a study of the meiosis models utilized by individuals at varying levels of expertise while reasoning about the process of meiosis are presented. Based on these results, the issues of sources of misconceptions/difficulties and the construction of a sound understanding of meiosis are discussed. Five individuals from each of three…

Pushing for Particulate Level Models of Adiabatic and Isothermal Processes in Upper-Level Chemistry Courses: A Qualitative Study

ERIC Educational Resources Information Center

Hernandez, Gabriel E.; Criswell, Brett A.; Kirk, Nancy J.; Sauder, Deborah G.; Rushton, Gregory T.

2014-01-01

In the past three decades, researchers have noted the limitations of a problem-solving approach that overemphasizes algorithms and quantitation and neglects student misconceptions and an otherwise qualitative, conceptual understanding of chemical phenomena. Since then, studies and lessons designed to improve student understanding of chemistry has…

Catalytic reaction processes revealed by scanning probe microscopy. [corrected].

PubMed

Jiang, Peng; Bao, Xinhe; Salmeron, Miquel

2015-05-19

Heterogeneous catalysis is of great importance for modern society. About 80% of the chemicals are produced by catalytic reactions. Green energy production and utilization as well as environmental protection also need efficient catalysts. Understanding the reaction mechanisms is crucial to improve the existing catalysts and develop new ones with better activity, selectivity, and stability. Three components are involved in one catalytic reaction: reactant, product, and catalyst. The catalytic reaction process consists of a series of elementary steps: adsorption, diffusion, reaction, and desorption. During reaction, the catalyst surface can change at the atomic level, with roughening, sintering, and segregation processes occurring dynamically in response to the reaction conditions. Therefore, it is imperative to obtain atomic-scale information for understanding catalytic reactions. Scanning probe microscopy (SPM) is a very appropriate tool for catalytic research at the atomic scale because of its unique atomic-resolution capability. A distinguishing feature of SPM, compared to other surface characterization techniques, such as X-ray photoelectron spectroscopy, is that there is no intrinsic limitation for SPM to work under realistic reaction conditions (usually high temperature and high pressure). Therefore, since it was introduced in 1981, scanning tunneling microscopy (STM) has been widely used to investigate the adsorption, diffusion, reaction, and desorption processes on solid catalyst surfaces at the atomic level. STM can also monitor dynamic changes of catalyst surfaces during reactions. These invaluable microscopic insights have not only deepened the understanding of catalytic processes, but also provided important guidance for the development of new catalysts. This Account will focus on elementary reaction processes revealed by SPM. First, we will demonstrate the power of SPM to investigate the adsorption and diffusion process of reactants on catalyst surfaces at the atomic level. Then the dynamic processes, including surface reconstruction, roughening, sintering, and phase separation, studied by SPM will be discussed. Furthermore, SPM provides valuable insights toward identifying the active sites and understanding the reaction mechanisms. We also illustrate here how both ultrahigh vacuum STM and high pressure STM provide valuable information, expanding the understanding provided by traditional surface science. We conclude with highlighting remarkable recent progress in noncontact atomic force microscopy (NC-AFM) and inelastic electron tunneling spectroscopy (IETS), and their impact on single-chemical-bond level characterization for catalytic reaction processes in the future.

An Examination of Individual Level Factors in Stress and Coping Processes: Perspectives of Chinese International Students in the United States

ERIC Educational Resources Information Center

Yan, Kun; Berliner, David C.

2011-01-01

No empirical research has focused solely upon understanding the stress and coping processes of Chinese international students in the United States. This qualitative inquiry examines the individual-level variables that affect the stress-coping process of Chinese international students and how they conceptualize and adapt to their stress at an…

A First Step in Learning Analytics: Pre-Processing Low-Level Alice Logging Data of Middle School Students

ERIC Educational Resources Information Center

Werner, Linda; McDowell, Charlie; Denner, Jill

2013-01-01

Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…

Understanding Quadruple Helix Relationships of University Technology Commercialisation: A Micro-Level Approach

ERIC Educational Resources Information Center

McAdam, Maura; Miller, Kristel; McAdam, Rodney

2018-01-01

Given recent demands for more co-creational university technology commercialisation processes involving industry and end users, this paper adopts a micro-level approach to explore the challenges faced by universities when managing Quadruple Helix stakeholders within technology commercialisation processes. To explore this research question, a…

The Policy Formation Process: A Conceptual Framework for Analysis. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Fuchs, E. F.

1972-01-01

A conceptual framework for analysis which is intended to assist both the policy analyst and the policy researcher in their empirical investigations into policy phenomena is developed. It is meant to facilitate understanding of the policy formation process by focusing attention on the basic forces shaping the main features of policy formation as a dynamic social-political-organizational process. The primary contribution of the framework lies in its capability to suggest useful ways of looking at policy formation reality. It provides the analyst and the researcher with a group of indicators which suggest where to look and what to look for when attempting to analyze and understand the mix of forces which energize, maintain, and direct the operation of strategic level policy systems. The framework also highlights interconnections, linkage, and relational patterns between and among important variables. The framework offers an integrated set of conceptual tools which facilitate understanding of and research on the complex and dynamic set of variables which interact in any major strategic level policy formation process.

Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms

PubMed Central

Lackner, Ryan J.; Fresco, David M.

2016-01-01

Awareness of the body (i.e., interoceptive awareness) and self-referential thought represent two distinct, yet habitually integrated aspects of self. A recent neuroanatomical and processing model for depression and anxiety incorporates the connections between increased but low fidelity afferent interoceptive input with self-referential and belief-based states. A deeper understanding of how self-referential processes are integrated with interoceptive processes may ultimately aid in our understanding of altered, maladaptive views of the self – a shared experience of individuals with mood and anxiety disorders. Thus, the purpose of the current study was to examine how negative self-referential processing (i.e., brooding rumination) relates to interoception in the context of affective psychopathology. Undergraduate students (N = 82) completed an interoception task (heartbeat counting) in addition to self-reported measures of rumination and depression and anxiety symptoms. Results indicated an interaction effect of brooding rumination and interoceptive awareness on depression and anxiety-related distress. Specifically, high levels of brooding rumination coupled with low levels of interoceptive awareness were associated with the highest levels of depression and anxiety-related distress, whereas low levels of brooding rumination coupled with high levels of interoceptive awareness were associated with lower levels of depression and anxiety-related distress. The findings provide further support for the conceptualization of anxiety and depression as conditions involving the integration of interoceptive processes and negative self-referential processes. PMID:27567108

The Analysis of the Understanding Levels of Teacher Candidates in Different Departments about Basic Astronomy Concepts

ERIC Educational Resources Information Center

Durukan, Ümmü Gülsüm; Saglam-Arslan, Aysegül

2015-01-01

Learners face a variety of concepts during the instructional process they experience. These concepts are mostly introduced by teachers; thus, the competences of teachers in terms of teaching concepts are vitally important. The aim of this study is to detect the understanding levels of teacher candidates about basic astronomy concepts. The method…

An Analysis of Grade 11 Learners' Levels of Understanding of Functions in Terms of APOS Theory

ERIC Educational Resources Information Center

Chimhande, Tinoda; Naidoo, Ana; Stols, Gerrit

2017-01-01

This article reports on a study of six Grade 11 learners' levels of understanding of concepts related to the function definition and representation. Task-based clinical interviews were used to elicit the learners' interpretations and reasoning when working with these function-related concepts. Indicators for Action-Process-Object-Schema (APOS)…

On Qualitative Differences in Learning: III--Study Skill and Learning

ERIC Educational Resources Information Center

Svensson, L.

1977-01-01

The intention in this research was to collect instances of study skill in different situations, and to relate study activity to levels of understanding and academic performance. Also reanalyzes data described by Marton and Saljo (1976a) which led to the concepts of deep-level processing and surface processing as explanations of qualitative…

Multiple Theory Formation in High-Level Perception. Technical Report No. 38.

ERIC Educational Resources Information Center

Woods, William A.

This paper is concerned with the process of human reading as a high-level perceptual task. Drawing on insights from artificial-intelligence research--specifically, research in natural language processing and continuous speech understanding--the paper attempts to present a fairly concrete picture of the kinds of hypothesis formation and inference…

Measurement of Learning Process by Semantic Annotation Technique on Bloom's Taxonomy Vocabulary

ERIC Educational Resources Information Center

Yanchinda, Jirawit; Yodmongkol, Pitipong; Chakpitak, Nopasit

2016-01-01

A lack of science and technology knowledge understanding of most rural people who had the highest education at elementary education level more than others level is unsuccessfully transferred appropriate technology knowledge for rural sustainable development. This study provides the measurement of the learning process by on Bloom's Taxonomy…

An Alternative Definition of Quality of Undergraduate College Education: Toward Usable Knowledge for Improvement.

ERIC Educational Resources Information Center

Nordvall, Robert C.; Braxton, John M.

1996-01-01

Traditional approaches to defining academic quality (reputational, resources, and outcomes or value-added) are criticized as not providing useful information. An alternative perspective is offered, focusing on fundamental course-level academic processes and defining the quality of such processes as the level of understanding of course content…

Ice2sea - the future glacial contribution to sea-level rise

NASA Astrophysics Data System (ADS)

Vaughan, D. G.; Ice2sea Consortium

2009-04-01

The melting of continental ice (glaciers, ice caps and ice sheets) is a substantial source of current sea-level rise, and one that is accelerating more rapidly than was predicted even a few years ago. Indeed, the most recent report from Intergovernmental Panel on Climate Change highlighted that the uncertainty in projections of future sea-level rise is dominated by uncertainty concerning continental ice, and that understanding of the key processes that will lead to loss of continental ice must be improved before reliable projections of sea-level rise can be produced. Such projections are urgently required for effective sea-defence management and coastal adaptation planning. Ice2sea is a consortium of European institutes and international partners seeking European funding to support an integrated scientific programme to improve understanding concerning the future glacial contribution to sea-level rise. This includes improving understanding of the processes that control, past, current and future sea-level rise, and generation of improved estimates of the contribution of glacial components to sea-level rise over the next 200 years. The programme will include targeted studies of key processes in mountain glacier systems and ice caps (e.g. Svalbard), and in ice sheets in both polar regions (Greenland and Antarctica) to improve understanding of how these systems will respond to future climate change. It will include fieldwork and remote sensing studies, and develop a suite of new, cross-validated glacier and ice-sheet model. Ice2sea will deliver these results in forms accessible to scientists, policy-makers and the general public, which will include clear presentations of the sources of uncertainty. Our aim is both, to provide improved projections of the glacial contribution to sea-level rise, and to leave a legacy of improved tools and techniques that will form the basis of ongoing refinements in sea-level projection. Ice2sea will provide exciting opportunities for many early-career glaciologists and ice-modellers in a variety of host institutes.

Excitonic processes at organic heterojunctions

NASA Astrophysics Data System (ADS)

He, ShouJie; Lu, ZhengHong

2018-02-01

Understanding excitonic processes at organic heterojunctions is crucial for development of organic semiconductor devices. This article reviews recent research on excitonic physics that involve intermolecular charge transfer (CT) excitons, and progress on understanding relationships between various interface energy levels and key parameters governing various competing interface excitonic processes. These interface excitonic processes include radiative exciplex emission, nonradiative recombination, Auger electron emission, and CT exciton dissociation. This article also reviews various device applications involving interface CT excitons, such as organic light-emitting diodes (OLEDs), organic photovoltaic cells, organic rectifying diodes, and ultralow-voltage Auger OLEDs.

Physical activity in England: who is meeting the recommended level of participation through sports and exercise?

PubMed

Anokye, Nana Kwame; Pokhrel, Subhash; Buxton, Martin; Fox-Rushby, Julia

2013-06-01

Little is known about the correlates of meeting recommended levels of participation in physical activity (PA) and how this understanding informs public health policies on behaviour change. To analyse who meets the recommended level of participation in PA in males and females separately by applying 'process' modelling frameworks (single vs. sequential 2-step process). Using the Health Survey for England 2006, (n = 14 142; ≥ 16 years), gender-specific regression models were estimated using bivariate probit with selectivity correction and single probit models. A 'sequential, 2-step process' modelled participation and meeting the recommended level separately, whereas the 'single process' considered both participation and level together. In females, meeting the recommended level was associated with degree holders [Marginal effect (ME) = 0.013] and age (ME = -0.001), whereas in males, age was a significant correlate (ME = -0.003 to -0.004). The order of importance of correlates was similar across genders, with ethnicity being the most important correlate in both males (ME = -0.060) and females (ME = -0.133). In females, the 'sequential, 2-step process' performed better (ρ = -0.364, P < 0.001) than that in males (ρ = 0.154). The degree to which people undertake the recommended level of PA through vigorous activity varies between males and females, and the process that best predicts such decisions, i.e. whether it is a sequential, 2-step process or a single-step choice, is also different for males and females. Understanding this should help to identify subgroups that are less likely to meet the recommended level of PA (and hence more likely to benefit from any PA promotion intervention).

Chemistry teachers’ understanding of science process skills in relation of science process skills assessment in chemistry learning

NASA Astrophysics Data System (ADS)

Hikmah, N.; Yamtinah, S.; Ashadi; Indriyanti, N. Y.

2018-05-01

A Science process skill (SPS) is a fundamental scientific method to achieve good knowledge. SPS can be categorized into two levels: basic and integrated. Learning SPS helps children to grow as individuals who can access knowledge and know how to acquire it. The primary outcomes of the scientific process in learning are the application of scientific processes, scientific reasoning, accurate knowledge, problem-solving, and understanding of the relationship between science, technology, society, and everyday life’s events. Teachers’ understanding of SPS is central to the application of SPS in a learning process. Following this point, this study aims to investigate the high school chemistry teachers’ understanding of SPS pertains to their assessment of SPS in chemistry learning. The understanding of SPS is measured from the conceptual and operational aspects of SPS. This research uses qualitative analysis method, and the sample consists of eight chemistry teachers selected by random sampling. A semi-structured interview procedure is used to collect the data. The result of the analysis shows that teachers’ conceptual and operational understanding of SPS is weak. It affects the accuracy and appropriateness of the teacher’s selection of SPS assessment in chemistry learning.

Analysis of Undergraduate Students’ Mathematical Understanding Ability of the Limit of Function Based on APOS Theory Perspective

NASA Astrophysics Data System (ADS)

Afgani, M. W.; Suryadi, D.; Dahlan, J. A.

2017-09-01

The aim of this study was to know the level of undergraduate students’ mathematical understanding ability based on APOS theory perspective. The APOS theory provides an evaluation framework to describe the level of students’ understanding and mental structure about their conception to a mathematics concept. The levels of understanding in APOS theory are action, process, object, and schema conception. The subjects were 59 students of mathematics education whom had attended a class of the limit of function at a university in Palembang. The method was qualitative descriptive with 4 test items. The result showed that most of students were still at the level of action conception. They could calculate and use procedure precisely to the mathematics objects that was given, but could not reach the higher conception yet.

System-level modeling of acetone-butanol-ethanol fermentation.

PubMed

Liao, Chen; Seo, Seung-Oh; Lu, Ting

2016-05-01

Acetone-butanol-ethanol (ABE) fermentation is a metabolic process of clostridia that produces bio-based solvents including butanol. It is enabled by an underlying metabolic reaction network and modulated by cellular gene regulation and environmental cues. Mathematical modeling has served as a valuable strategy to facilitate the understanding, characterization and optimization of this process. In this review, we highlight recent advances in system-level, quantitative modeling of ABE fermentation. We begin with an overview of integrative processes underlying the fermentation. Next we survey modeling efforts including early simple models, models with a systematic metabolic description, and those incorporating metabolism through simple gene regulation. Particular focus is given to a recent system-level model that integrates the metabolic reactions, gene regulation and environmental cues. We conclude by discussing the remaining challenges and future directions towards predictive understanding of ABE fermentation. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Understanding Whole Systems Change in Health Care: Insights into System Level Diffusion from Nursing Service Delivery Innovations--A Multiple Case Study

ERIC Educational Resources Information Center

Berta, Whitney; Virani, Tazim; Bajnok, Irmajean; Edwards, Nancy; Rowan, Margo

2014-01-01

Our study responds to calls for theory-driven approaches to studying innovation diffusion processes in health care. While most research on diffusion in health care is situated at the service delivery level, we study innovations and associated processes that have diffused to the system level, and refer to work on complex adaptive systems and whole…

Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms.

PubMed

Lackner, Ryan J; Fresco, David M

2016-10-01

Awareness of the body (i.e., interoceptive awareness) and self-referential thought represent two distinct, yet habitually integrated aspects of self. A recent neuroanatomical and processing model for depression and anxiety incorporates the connections between increased but low fidelity afferent interoceptive input with self-referential and belief-based states. A deeper understanding of how self-referential processes are integrated with interoceptive processes may ultimately aid in our understanding of altered, maladaptive views of the self - a shared experience of individuals with mood and anxiety disorders. Thus, the purpose of the current study was to examine how negative self-referential processing (i.e., brooding rumination) relates to interoception in the context of affective psychopathology. Undergraduate students (N = 82) completed an interoception task (heartbeat counting) in addition to self-reported measures of rumination and depression and anxiety symptoms. Results indicated an interaction effect of brooding rumination and interoceptive awareness on depression and anxiety-related distress. Specifically, high levels of brooding rumination coupled with low levels of interoceptive awareness were associated with the highest levels of depression and anxiety-related distress, whereas low levels of brooding rumination coupled with high levels of interoceptive awareness were associated with lower levels of depression and anxiety-related distress. The findings provide further support for the conceptualization of anxiety and depression as conditions involving the integration of interoceptive processes and negative self-referential processes. Copyright © 2016 Elsevier Ltd. All rights reserved.

Quality Audit in the Fastener Industry

NASA Technical Reports Server (NTRS)

Reagan, John R.

1995-01-01

Both the financial and quality communities rely on audits to verify customers records. The financial community is highly structured around three categories of risk, INHERENT RISK, CONTROL RISK, and DETECTION RISK. Combined, the product of these three categories constitute the AUDIT RISK. The financial community establishes CONTROL RISK based in large part on a systems level understanding of the process flow. This system level understanding is best expressed in a flowchart. The quality community may be able to adopt this structure and thereby reduce cost while maintaining and enhancing quality. The quality community should attempt to flowchart the systems level quality process before beginning substantive testing. This theory needs to be applied in several trial cases to prove or disprove this hypothesis

Quality audit in the fastener industry

NASA Astrophysics Data System (ADS)

Reagan, John R.

1995-09-01

Both the financial and quality communities rely on audits to verify customers records. The financial community is highly structured around three categories of risk, INHERENT RISK, CONTROL RISK, and DETECTION RISK. Combined, the product of these three categories constitute the AUDIT RISK. The financial community establishes CONTROL RISK based in large part on a systems level understanding of the process flow. This system level understanding is best expressed in a flowchart. The quality community may be able to adopt this structure and thereby reduce cost while maintaining and enhancing quality. The quality community should attempt to flowchart the systems level quality process before beginning substantive testing. This theory needs to be applied in several trial cases to prove or disprove this hypothesis

High level cognitive information processing in neural networks

NASA Technical Reports Server (NTRS)

Barnden, John A.; Fields, Christopher A.

1992-01-01

Two related research efforts were addressed: (1) high-level connectionist cognitive modeling; and (2) local neural circuit modeling. The goals of the first effort were to develop connectionist models of high-level cognitive processes such as problem solving or natural language understanding, and to understand the computational requirements of such models. The goals of the second effort were to develop biologically-realistic model of local neural circuits, and to understand the computational behavior of such models. In keeping with the nature of NASA's Innovative Research Program, all the work conducted under the grant was highly innovative. For instance, the following ideas, all summarized, are contributions to the study of connectionist/neural networks: (1) the temporal-winner-take-all, relative-position encoding, and pattern-similarity association techniques; (2) the importation of logical combinators into connection; (3) the use of analogy-based reasoning as a bridge across the gap between the traditional symbolic paradigm and the connectionist paradigm; and (4) the application of connectionism to the domain of belief representation/reasoning. The work on local neural circuit modeling also departs significantly from the work of related researchers. In particular, its concentration on low-level neural phenomena that could support high-level cognitive processing is unusual within the area of biological local circuit modeling, and also serves to expand the horizons of the artificial neural net field.

Auditory Processing Disorder (For Parents)

MedlinePlus

... or other speech-language difficulties? Are verbal (word) math problems difficult for your child? Is your child ... inferences from conversations, understanding riddles, or comprehending verbal math problems — require heightened auditory processing and language levels. ...

Fatigue failure of osteocyte cellular processes: implications for the repair of bone.

PubMed

Dooley, C; Cafferky, D; Lee, T C; Taylor, D

2014-01-25

The physical effects of fatigue failure caused by cyclic strain are important and for most materials well understood. However, nothing is known about this mode of failure in living cells. We developed a novel method that allowed us to apply controlled levels of cyclic displacement to networks of osteocytes in bone. We showed that under cyclic loading, fatigue failure takes place in the dendritic processes of osteocytes at cyclic strain levels as low as one tenth of the strain needed for instantaneous rupture. The number of cycles to failure was inversely correlated with the strain level. Further experiments demonstrated that these failures were not artefacts of our methods of sample preparation and testing, and that fatigue failure of cell processes also occurs in vivo. This work is significant as it is the first time it has been possible to conduct fatigue testing on cellular material of any kind. Many types of cells experience repetitive loading which may cause failure or damage requiring repair. It is clinically important to determine how cyclic strain affects cells and how they respond in order to gain a deeper understanding of the physiological processes stimulated in this manner. The more we understand about the natural repair process in bone the more targeted the intervention methods may become if disruption of the repair process occurred. Our results will help to understand how the osteocyte cell network is disrupted in the vicinity of matrix damage, a crucial step in bone remodelling.

The peculiarities of process-based approach realization in transport sector company management

NASA Astrophysics Data System (ADS)

Khripko, Elena; Sidorov, Gennadiy

2017-10-01

In the present article we study the phenomena of multiple meaning in understanding process-based management method in construction of transport infrastructure facilities. The idea of multiple meaning is in distortions which appear during reception of the management process paradigm in organizational environment of transport sector. The cause of distortion in process management is organizational resistance. The distortions of management processes are discovered at the level of diffusion among spheres of responsibility, collision in forms of functional, project and process interaction between the owner of the process and its participants. The level of distortion is affected by the attitude towards the result of work which means that process understanding of the result is replaced by the functional one in practice of management. This transfiguration is the consequence of regressive defensive mechanisms of the organizational environment. On the base of experience of forming process management in construction of transport infrastructure facilities company of the issues of diagnostics of various forms of organizational resistance and ways of reducing the destructive influence on managing processes are reviewed.

Systems biology approach to bioremediation

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

Chakraborty, Romy; Wu, Cindy H.; Hazen, Terry C.

2012-06-01

Bioremediation has historically been approached as a ‘black box’ in terms of our fundamental understanding. Thus it succeeds and fails, seldom without a complete understanding of why. Systems biology is an integrated research approach to study complex biological systems, by investigating interactions and networks at the molecular, cellular, community, and ecosystem level. The knowledge of these interactions within individual components is fundamental to understanding the dynamics of the ecosystem under investigation. Finally, understanding and modeling functional microbial community structure and stress responses in environments at all levels have tremendous implications for our fundamental understanding of hydrobiogeochemical processes and the potentialmore » for making bioremediation breakthroughs and illuminating the ‘black box’.« less

Truck freight commodity flows : US 395 North of Spokane Washington,

DOT National Transportation Integrated Search

2014-10-01

The search for understanding of commodity flows throughout the nation and the State of : Washington is a continual process. This understanding is critical at many levels of the : transportation industry and to those firms and entities that provide th...

Atomic oxygen effects on materials

NASA Technical Reports Server (NTRS)

Banks, Bruce A.; Rutledge, Sharon K.; Brady, Joyce A.; Merrow, James E.

1989-01-01

Understanding of the basic processes of atomic oxygen interaction is currently at a very elementary level. However, measurement of erosion yields, surface morphology, and optical properties for low fluences have brought about much progress in the past decade. Understanding the mechanisms and those factors that are important for proper simulation of low Earth orbit is at a much lower level of understanding. The ability to use laboratory simulations with confidence to quantifiably address the functional performance and durability of materials in low Earth orbit will be necessary to assure long-term survivability to the natural space environment.

"Sticky Ions": A Student-Centered Activity Using Magnetic Models to Explore the Dissolving of Ionic Compounds

ERIC Educational Resources Information Center

Ryan, Sheila; Herrington, Deborah G.

2014-01-01

Understanding what happens at the particulate level when ionic compounds dissolve in water is difficult for many students, yet this understanding is critical in explaining many macroscopic observations. This article describes a student-centered activity designed to help strengthen students' conceptual understanding of this process at the…

Design and application of process control charting methodologies to gamma irradiation practices

NASA Astrophysics Data System (ADS)

Saylor, M. C.; Connaghan, J. P.; Yeadon, S. C.; Herring, C. M.; Jordan, T. M.

2002-12-01

The relationship between the contract irradiation facility and the customer has historically been based upon a "PASS/FAIL" approach with little or no quality metrics used to gage the control of the irradiation process. Application of process control charts, designed in coordination with mathematical simulation of routine radiation processing, can provide a basis for understanding irradiation events. By using tools that simulate the physical rules associated with the irradiation process, end-users can explore process-related boundaries and the effects of process changes. Consequently, the relationship between contractor and customer can evolve based on the derived knowledge. The resulting level of mutual understanding of the irradiation process and its resultant control benefits both the customer and contract operation, and provides necessary assurances to regulators. In this article we examine the complementary nature of theoretical (point kernel) and experimental (dosimetric) process evaluation, and the resulting by-product of improved understanding, communication and control generated through the implementation of effective process control charting strategies.

An inquiry-based practical for a large, foundation-level undergraduate laboratory that enhances student understanding of basic cellular concepts and scientific experimental design.

PubMed

Bugarcic, A; Zimbardi, K; Macaranas, J; Thorn, P

2012-01-01

Student-centered education involving research experiences or inquiry have been shown to help undergraduate students understand, and become excited about, the process of scientific investigation. These benefits are particularly important for students in the early stages of their degree (Report and Kenny, http://naplesccsunysbedu/Pres/boyernsf/1998). However, embedding such experiences into the curriculum is particularly difficult when dealing with early stage students, who are in larger cohorts and often lack the background content knowledge necessary to engage with primary research literature and research level methods and equipment. We report here the design, delivery, assessment, and subsequent student learning outcomes of a 4-week practical module for 120 students at the beginning of their second year of university, which successfully engages students in designing cell culture experiments and in understanding the molecular processes and machinery involved in the basic cellular process of macropinocytosis. Copyright © 2011 Wiley Periodicals, Inc.

The importance of basic factors in innovation processes and their effects on innovation capability of Malaysian-owned manufacturing companies

NASA Astrophysics Data System (ADS)

Suradi, Nur Riza Mohd; Omar, Aminuddin; Shahabuddin, Faridatulazna Ahmad

2015-02-01

Innovation is the core ingredient in the competitiveness of today's businesses. Any company that cannot innovate will be losing its competitiveness. While the study on innovation at conceptual level is widely available, there is still lack of deep understanding of how innovation factors impact each stage of the processes of innovation that happen in Malaysian companies. This process-factor approach and understanding may help the government focuses its assistance on relevant factors at relevant process according to the size of the company. This study examines how companies are affected by fundamental factors needed in innovation. Based on results of MYTIC Study 2012 on the level of Technological Innovation Capability (TIC) of Malaysian companies using the RDCB framework, the significance of each innovation factor in each innovation process is determined. This study shows that human resource factor gives more impact than other factors in most processes. Also, financial and human resource factors are likely dictated by the size of the company.

A Study of the Education of Geology

NASA Astrophysics Data System (ADS)

Berglin, R. S.; Baldridge, A. M.; Buxner, S.; Crown, D. A.

2013-12-01

An Evaluation and Assessment Method for Workshops in Science Education and Resources While many professional development workshops train teachers with classroom activities for students, Workshops in Science Education and Resources (WISER): Planetary Perspectives is designed to give elementary and middle school teachers the deeper knowledge necessary to be confident teaching the earth and space science content in their classrooms. Two WISER workshops, Deserts of the Solar System and Volcanoes of the Solar System, place an emphasis on participants being able to use learned knowledge to describe or 'tell the story of' a given rock. In order to understand how participants' knowledge and ability to tell the story changes with instruction, we are investigating new ways of probing the understanding of geologic processes. The study will include results from both college level geology students and teachers, focusing on their understanding of geologic processes and the rock cycle. By studying how new students process geologic information, teachers may benefit by learning how to better teach similar information. This project will help to transfer geologic knowledge to new settings and assess education theories for how people learn. Participants in this study include teachers participating in the WISER program in AZ and introductory level college students at St. Mary's College of California. Participants will be videotaped drawing out their thought process on butcher paper as they describe a given rock. When they are done, they will be asked to describe what they have put on the paper and this interview will be recorded. These techniques will be initially performed with students at St. Mary's College of California to understand how to best gather information. An evaluation of their prior knowledge and previous experience will be determined, and a code of their thought process will be recorded. The same students will complete a semester of an introductory college level Physical Geology course and then complete the assessment process, with the same rock again. Data will be compared to see how the thought process has changed. By studying the initial thought process, teachers can meet students at their level. At the end of the student research, this project will also be applied to elementary and middle school teachers in Tucson, Arizona at WISER workshops. This study will draw conclusions on how participants' thought processes change through WISER-type instruction.

A Linked Model for Simulating Stand Development and Growth Processes of Loblolly Pine

Treesearch

V. Clark Baldwin; Phillip M. Dougherty; Harold E. Burkhart

1998-01-01

Linking models of different scales (e.g., process, tree-stand-ecosystem) is essential for furthering our understanding of stand, climatic, and edaphic effects on tree growth and forest productivity. Moreover, linking existing models that differ in scale and levels of resolution quickly identifies knowledge gaps in information required to scale from one level to another...

Nonlinear Growth Curves in Developmental Research

ERIC Educational Resources Information Center

Grimm, Kevin J.; Ram, Nilam; Hamagami, Fumiaki

2011-01-01

Developmentalists are often interested in understanding change processes, and growth models are the most common analytic tool for examining such processes. Nonlinear growth curves are especially valuable to developmentalists because the defining characteristics of the growth process such as initial levels, rates of change during growth spurts, and…

The Neuroscience of Consumer Choice

PubMed Central

Hsu, Ming; Yoon, Carolyn

2015-01-01

We review progress and challenges relating to scientific and applied goals of the nascent field of consumer neuroscience. Scientifically, substantial progress has been made in understanding the neurobiology of choice processes. Further advances, however, require researchers to begin clarifying the set of developmental and cognitive processes that shape and constrain choices. First, despite the centrality of preferences in theories of consumer choice, we still know little about where preferences come from and the underlying developmental processes. Second, the role of attention and memory processes in consumer choice remains poorly understood, despite importance ascribed to them in interpreting data from the field. The applied goal of consumer neuroscience concerns our ability to translate this understanding to augment prediction at the population level. Although the use of neuroscientific data for market-level predictions remains speculative, there is growing evidence of superiority in specific cases over existing market research techniques. PMID:26665152

Barriers and perceived needs for understanding and using research among emergency nurses.

PubMed

Chan, Garrett K; Barnason, Susan; Dakin, Cynthia L; Gillespie, Gordon; Kamienski, Mary C; Stapleton, Stephen; Williams, Jennifer; Juarez, Altair; Li, Suling

2011-01-01

Nurses are involved in conducting research and incorporating evidence into their practice. However, barriers exist at the individual, unit, and organizational level related to understanding, conducting, and evaluating the evidence. The Emergency Nurses Association (ENA) conducted a study to understand levels of education in research, the extent of experience, and needs and barriers to research at the individual and organizational levels in emergency nursing. A cross-sectional survey design was used to poll members of the ENA. A 62-item survey instrument was designed to assess five areas: 1) nurses' research values, skills, experience, and awareness; 2) organizational settings' opportunities, barriers, and limitations to research; 3) nurses' understanding and comprehension of research and evidence; 4) presentation and accessibility of research; and 5) continuing educational topics to improve knowledge of the research process. Respondents (n = 948) identified barriers at the individual level that included lack of knowledge about critiquing research studies and familiarity with the research process. Barriers at the unit level included obtaining help from administrators and other staff in starting a project or having the authority to change practice. Barriers at the institution level included lack of support systems such as protected time to conduct research or implement changes in practice. Emergency nurses are highly motivated and interested in learning more about conducting and utilizing research to improve practice. Perceived personal, unit-based, and organizational barriers were identified through this research in an effort to highlight areas for improvement at the local and national levels. Copyright © 2011 Emergency Nurses Association. Published by Mosby, Inc. All rights reserved.

Neuroticism and responsiveness to error feedback: adaptive self-regulation versus affective reactivity.

PubMed

Robinson, Michael D; Moeller, Sara K; Fetterman, Adam K

2010-10-01

Responsiveness to negative feedback has been seen as functional by those who emphasize the value of reflecting on such feedback in self-regulating problematic behaviors. On the other hand, the very same responsiveness has been viewed as dysfunctional by its link to punishment sensitivity and reactivity. The present 4 studies, involving 203 undergraduate participants, sought to reconcile such discrepant views in the context of the trait of neuroticism. In cognitive tasks, individuals were given error feedback when they made mistakes. It was found that greater tendencies to slow down following error feedback were associated with higher levels of accuracy at low levels of neuroticism but lower levels of accuracy at high levels of neuroticism. Individual differences in neuroticism thus appear crucial in understanding whether behavioral alterations following negative feedback reflect proactive versus reactive mechanisms and processes. Implications for understanding the processing basis of neuroticism and adaptive self-regulation are discussed.

A Computational Model of Linguistic Humor in Puns.

PubMed

Kao, Justine T; Levy, Roger; Goodman, Noah D

2016-07-01

Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures-ambiguity and distinctiveness-derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with human judgments of funniness. Moreover, within a set of puns, the distinctiveness measure distinguishes exceptionally funny puns from mediocre ones. Our work is the first, to our knowledge, to integrate a computational model of general language understanding and humor theory to quantitatively predict humor at a fine-grained level. We present it as an example of a framework for applying models of language processing to understand higher level linguistic and cognitive phenomena. © 2015 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

Can Horton hear the whos? The importance of scale in mosquito-borne disease.

PubMed

Lord, C C; Alto, B W; Anderson, S L; Connelly, C R; Day, J F; Richards, S L; Smartt, C T; Tabachnick, W J

2014-03-01

The epidemiology of vector-borne pathogens is determined by mechanisms and interactions at different scales of biological organization, from individual-level cellular processes to community interactions between species and with the environment. Most research, however, focuses on one scale or level with little integration between scales or levels within scales. Understanding the interactions between levels and how they influence our perception of vector-borne pathogens is critical. Here two examples of biological scales (pathogen transmission and mosquito mortality) are presented to illustrate some of the issues of scale and to explore how processes on different levels may interact to influence mosquito-borne pathogen transmission cycles. Individual variation in survival, vector competence, and other traits affect population abundance, transmission potential, and community structure. Community structure affects interactions between individuals such as competition and predation, and thus influences the individual-level dynamics and transmission potential. Modeling is a valuable tool to assess interactions between scales and how processes at different levels can affect transmission dynamics. We expand an existing model to illustrate the types of studies needed, showing that individual-level variation in viral dose acquired or needed for infection can influence the number of infectious vectors. It is critical that interactions within and among biological scales and levels of biological organization are understood for greater understanding of pathogen transmission with the ultimate goal of improving control of vector-borne pathogens.

A Tutorial Design Process Applied to an Introductory Materials Engineering Course

ERIC Educational Resources Information Center

Rosenblatt, Rebecca; Heckler, Andrew F.; Flores, Katharine

2013-01-01

We apply a "tutorial design process", which has proven to be successful for a number of physics topics, to design curricular materials or "tutorials" aimed at improving student understanding of important concepts in a university-level introductory materials science and engineering course. The process involves the identification…

Pragmatic Comprehension of High and Low Level Language Learners

ERIC Educational Resources Information Center

Garcia, Paula

2004-01-01

This study compares the performances of 16 advanced and 19 beginning English language learners on a listening comprehension task that focused on linguistic and pragmatic processing. Processing pragmatic meaning differs from processing linguistic meaning because pragmatic meaning requires the listener to understand not only linguistic information,…

Data Processing for High School Students

ERIC Educational Resources Information Center

Spiegelberg, Emma Jo

1974-01-01

Data processing should be taught at the high school level so students may develop a general understanding and appreciation for the capabilities and the limitations of these automated data processing systems. Card machines, wiring, logic, flowcharting, and Cobol programing are to be taught, with behavioral objectives for each section listed. (SC)

A Low Cost Microcomputer System for Process Dynamics and Control Simulations.

ERIC Educational Resources Information Center

Crowl, D. A.; Durisin, M. J.

1983-01-01

Discusses a video simulator microcomputer system used to provide real-time demonstrations to strengthen students' understanding of process dynamics and control. Also discusses hardware/software and simulations developed using the system. The four simulations model various configurations of a process liquid level tank system. (JN)

The Timing of Visual Object Categorization

PubMed Central

Mack, Michael L.; Palmeri, Thomas J.

2011-01-01

An object can be categorized at different levels of abstraction: as natural or man-made, animal or plant, bird or dog, or as a Northern Cardinal or Pyrrhuloxia. There has been growing interest in understanding how quickly categorizations at different levels are made and how the timing of those perceptual decisions changes with experience. We specifically contrast two perspectives on the timing of object categorization at different levels of abstraction. By one account, the relative timing implies a relative timing of stages of visual processing that are tied to particular levels of object categorization: Fast categorizations are fast because they precede other categorizations within the visual processing hierarchy. By another account, the relative timing reflects when perceptual features are available over time and the quality of perceptual evidence used to drive a perceptual decision process: Fast simply means fast, it does not mean first. Understanding the short-term and long-term temporal dynamics of object categorizations is key to developing computational models of visual object recognition. We briefly review a number of models of object categorization and outline how they explain the timing of visual object categorization at different levels of abstraction. PMID:21811480

Teaching for conceptual change: An intervention to promote deeper understanding of diffusion and osmosis

NASA Astrophysics Data System (ADS)

Berg, Cheryl

Emergent processes are distinguished from non-emergent processes on the basis of the qualitative relationships among the agents' interactions and the causal relationships between the agents' interactions and the pattern. Research suggests students often have robust misconceptions about emergent processes (such as diffusion) because they do not have the mental model to interpret these processes This study investigates the extent to which a domain-general understanding of emergent processes can help provide students with an enhanced understanding of diffusion and osmosis This is a quasi-experimental study using non-equivalent groups design to compare the treatment and control groups. Sixty-six community college students enrolled in an introductory biology course comprised the participants. Students' prior knowledge about emergent processes, diffusion, and osmosis were assessed by pre-tests. The treatment group received the intervention -- an instructional module about the differences between scientific processes that are emergent versus processes that are non-emergent. The control group did not receive the intervention but received the process assessment to determine incoming knowledge about scientific processes and any gains in knowledge about scientific processes. Both groups received the same specific content instruction about diffusion and osmosis, which was derived from the regular and established curriculum for the course. Both groups were given post-tests to assess whether they learned the concepts, and whether they were able to achieve a deep understanding that resulted in a comprehension of the transport of substances across cell membranes and how that might be applied in particular health-related situations. Data were analyzed using t-tests and analysis of variance. No statistically significant differences were found between the two groups based on the learning measures Limitations include sample restrictions and not taking into account individual ability levels of the participants. In addition, the short length of this intervention may not provide adequate time for students to successfully acquire the schema to understand conceptually difficult science concepts such as diffusion and osmosis. Future directions of research include expanding the sample size and length of exposure to the intervention, in addition to examining the individual ability levels of the participants.

Long-term watershed research and monitoring to understand ecosystem change in parks and equivalent reserves

USGS Publications Warehouse

Herrmann, R.

1997-01-01

Integrated watershed ecosystem studies in National Parks or equivalent reserves suggest that effects of external processes on 'protected' resources are subtle, chronic, and long-term. Ten years of data from National Park watersheds suggests that temperature and precipitation changes are linked to nitrogen levels in lakes and streams. We envision measurable biotic effects in these remote watersheds, if expected climate trends continue. The condition of natural resources within areas set aside for preservation are difficult to ascertain, but gaining this knowledge is the key to understanding ecosystem change and of processes operating among biotic and abiotic ecosystem components. There is increasing evidence that understanding the magnitude of variation within and between such processes can provide an early indication of environmental change and trends attributable to human-induced stress. The following four papers are case studies of how this concept has been implemented. These long-term studies have expanded our knowledge of ecosystem response to natural and human-induced stress. The existence of these sites with a commitment to gathering 'long-term' ecosystem-level data permits research activities aimed at testing more important hypotheses on ecosystem processes and structure.

Mercury Phase II Study - Mercury Behavior across the High-Level Waste Evaporator System

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

Bannochie, C. J.; Crawford, C. L.; Jackson, D. G.

2016-06-17

The Mercury Program team’s effort continues to develop more fundamental information concerning mercury behavior across the liquid waste facilities and unit operations. Previously, the team examined the mercury chemistry across salt processing, including the Actinide Removal Process/Modular Caustic Side Solvent Extraction Unit (ARP/MCU), and the Defense Waste Processing Facility (DWPF) flowsheets. This report documents the data and understanding of mercury across the high level waste 2H and 3H evaporator systems.

Performing Systematic Literature Reviews with Novices: An Iterative Approach

ERIC Educational Resources Information Center

Lavallée, Mathieu; Robillard, Pierre-N.; Mirsalari, Reza

2014-01-01

Reviewers performing systematic literature reviews require understanding of the review process and of the knowledge domain. This paper presents an iterative approach for conducting systematic literature reviews that addresses the problems faced by reviewers who are novices in one or both levels of understanding. This approach is derived from…

Monitoring and Analyzing Process Streams Towards Understanding Ionic Liquid Pretreatment of Switchgrass (Panicum virgatum L.)

USDA-ARS?s Scientific Manuscript database

Fundamental understanding of biomass pretreatment and its influence on sacchrification kinetics, total sugar yield, and inhibitor formation is essential to develop efficient next-generation biofuels strategies, capable of displacing fossil fuels at a commercial level. In this study we investigate t...

Elementary General Education Teachers' Understanding of Response to Intervention

ERIC Educational Resources Information Center

Hunter, Ashly

2013-01-01

Legislation has mandated that schools provide instruction in the general education setting to students who are not performing on grade level by using a response to intervention (RTI) process and provide subsequent interventions. However, evidence suggests that teachers lack an understanding of RTI, which may impact implementation and the progress…

Sound Stories for General Music

ERIC Educational Resources Information Center

Cardany, Audrey Berger

2013-01-01

Language and music literacy share a similar process of understanding that progresses from sensory experience to symbolic representation. The author identifies Bruner’s modes of understanding as they relate to using narrative in the music classroom to enhance music reading at iconic and symbolic levels. Two sound stories are included for…

The Influence of Toy Design Activities on Middle School Students' Understanding of the Engineering Design Processes

NASA Astrophysics Data System (ADS)

Zhou, Ninger; Pereira, Nielsen L.; George, Tarun Thomas; Alperovich, Jeffrey; Booth, Joran; Chandrasegaran, Senthil; Tew, Jeffrey David; Kulkarni, Devadatta M.; Ramani, Karthik

2017-10-01

The societal demand for inspiring and engaging science, technology, engineering, and mathematics (STEM) students and preparing our workforce for the emerging creative economy has necessitated developing students' self-efficacy and understanding of engineering design processes from as early as elementary school levels. Hands-on engineering design activities have shown the potential to promote middle school students' self-efficacy and understanding of engineering design processes. However, traditional classrooms often lack hands-on engineering design experiences, leaving students unprepared to solve real-world design problems. In this study, we introduce the framework of a toy design workshop and investigate the influence of the workshop activities on students' understanding of and self-efficacy beliefs in engineering design. Using a mixed method approach, we conducted quantitative analyses to show changes in students' engineering design self-efficacy and qualitative analyses to identify students' understanding of the engineering design processes. Findings show that among the 24 participants, there is a significant increase in students' self-efficacy beliefs after attending the workshop. We also identified major themes such as design goals and prototyping in students' understanding of engineering design processes. This research provides insights into the key elements of middle school students' engineering design learning and the benefits of engaging middle school students in hands-on toy design workshops.

Intracellular response to process optimization and impact on productivity and product aggregates for a high-titer CHO cell process.

PubMed

Handlogten, Michael W; Lee-O'Brien, Allison; Roy, Gargi; Levitskaya, Sophia V; Venkat, Raghavan; Singh, Shailendra; Ahuja, Sanjeev

2018-01-01

A key goal in process development for antibodies is to increase productivity while maintaining or improving product quality. During process development of an antibody, titers were increased from 4 to 10 g/L while simultaneously decreasing aggregates. Process development involved optimization of media and feed formulations, feed strategy, and process parameters including pH and temperature. To better understand how CHO cells respond to process changes, the changes were implemented in a stepwise manner. The first change was an optimization of the feed formulation, the second was an optimization of the medium, and the third was an optimization of process parameters. Multiple process outputs were evaluated including cell growth, osmolality, lactate production, ammonium concentration, antibody production, and aggregate levels. Additionally, detailed assessment of oxygen uptake, nutrient and amino acid consumption, extracellular and intracellular redox environment, oxidative stress, activation of the unfolded protein response (UPR) pathway, protein disulfide isomerase (PDI) expression, and heavy and light chain mRNA expression provided an in-depth understanding of the cellular response to process changes. The results demonstrate that mRNA expression and UPR activation were unaffected by process changes, and that increased PDI expression and optimized nutrient supplementation are required for higher productivity processes. Furthermore, our findings demonstrate the role of extra- and intracellular redox environment on productivity and antibody aggregation. Processes using the optimized medium, with increased concentrations of redox modifying agents, had the highest overall specific productivity, reduced aggregate levels, and helped cells better withstand the high levels of oxidative stress associated with increased productivity. Specific productivities of different processes positively correlated to average intracellular values of total glutathione. Additionally, processes with the optimized media maintained an oxidizing intracellular environment, important for correct disulfide bond pairing, which likely contributed to reduced aggregate formation. These findings shed important understanding into how cells respond to process changes and can be useful to guide future development efforts to enhance productivity and improve product quality. © 2017 Wiley Periodicals, Inc.

[NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 7:] The NASA/DOD Aerospace Knowledge Diffusion Research Project: The DOD perspective

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Kennedy, John M.

1990-01-01

This project will provide descriptive and analytical data regarding the flow of STI at the individual, organizational, national, and international levels. It will examine both the channels used to communicate information and the social system of the aerospace knowledge diffusion process. Results of the project should provide useful information to R and D managers, information managers, and others concerned with improving access to and use of STI. Objectives include: (1) understanding the aerospace knowledge diffusion process at the individual, organizational, and national levels, placing particular emphasis on the diffusion of Federally funded aerospace STI; (2) understanding the international aerospace knowledge diffusion process at the individual and organizational levels, placing particular emphasis on the systems used to diffuse the results of Federally funded aerospace STI; (3) understanding the roles NASA/DoD technical report and aerospace librarians play in the transfer and use of knowledge derived from Federally funded aerospace R and D; (4) achieving recognition and acceptance within NASA, DoD and throughout the aerospace community that STI is a valuable strategic resource for innovation, problem solving, and productivity; and (5) providing results that can be used to optimize the effectiveness and efficiency of the Federal STI aerospace transfer system and exchange mechanism.

A soil-landscape framework for understanding spatial and temporal variability in biogeochemical processes in catchments

NASA Astrophysics Data System (ADS)

McGuire, K. J.; Bailey, S. W.; Ross, D. S.

2017-12-01

Heterogeneity in biophysical properties within catchments challenges how we quantify and characterize biogeochemical processes and interpret catchment outputs. Interactions between the spatiotemporal variability of hydrological states and fluxes and soil development can spatially structure catchments, leading to a framework for understanding patterns in biogeochemical processes. In an upland, glaciated landscape at the Hubbard Brook Experimental Forest (HBEF) in New Hampshire, USA, we are embracing the structure and organization of soils to understand the spatial relations between runoff production zones, distinct soil-biogeochemical environments, and solute retention and release. This presentation will use observations from the HBEF to demonstrate that a soil-landscape framework is essential in understanding the spatial and temporal variability of biogeochemical processes in this catchment. Specific examples will include how laterally developed soils reveal the location of active runoff production zones and lead to gradients in primary mineral dissolution and the distribution of weathering products along hillslopes. Soil development patterns also highlight potential carbon and nitrogen cycling hotspots, differentiate acidic conditions, and affect the regulation of surface water quality. Overall, this work demonstrates the importance of understanding the landscape-level structural organization of soils in characterizing the variation and extent of biogeochemical processes that occur in catchments.

Understanding the development of minimum unit pricing of alcohol in Scotland: a qualitative study of the policy process.

PubMed

Katikireddi, Srinivasa Vittal; Hilton, Shona; Bonell, Chris; Bond, Lyndal

2014-01-01

Minimum unit pricing of alcohol is a novel public health policy with the potential to improve population health and reduce health inequalities. Theories of the policy process may help to understand the development of policy innovation and in turn identify lessons for future public health research and practice. This study aims to explain minimum unit pricing's development by taking a 'multiple-lenses' approach to understanding the policy process. In particular, we apply three perspectives of the policy process (Kingdon's multiple streams, Punctuated-Equilibrium Theory, Multi-Level Governance) to understand how and why minimum unit pricing has developed in Scotland and describe implications for efforts to develop evidence-informed policymaking. Semi-structured interviews were conducted with policy actors (politicians, civil servants, academics, advocates, industry representatives) involved in the development of MUP (n = 36). Interviewees were asked about the policy process and the role of evidence in policy development. Data from two other sources (a review of policy documents and an analysis of evidence submission documents to the Scottish Parliament) were used for triangulation. The three perspectives provide complementary understandings of the policy process. Evidence has played an important role in presenting the policy issue of alcohol as a problem requiring action. Scotland-specific data and a change in the policy 'image' to a population-based problem contributed to making alcohol-related harms a priority for action. The limited powers of Scottish Government help explain the type of price intervention pursued while distinct aspects of the Scottish political climate favoured the pursuit of price-based interventions. Evidence has played a crucial but complex role in the development of an innovative policy. Utilising different political science theories helps explain different aspects of the policy process, with Multi-Level Governance particularly useful for highlighting important lessons for the future of public health policy.

Understanding the Development of Minimum Unit Pricing of Alcohol in Scotland: A Qualitative Study of the Policy Process

PubMed Central

Katikireddi, Srinivasa Vittal; Hilton, Shona; Bonell, Chris; Bond, Lyndal

2014-01-01

Background Minimum unit pricing of alcohol is a novel public health policy with the potential to improve population health and reduce health inequalities. Theories of the policy process may help to understand the development of policy innovation and in turn identify lessons for future public health research and practice. This study aims to explain minimum unit pricing’s development by taking a ‘multiple-lenses’ approach to understanding the policy process. In particular, we apply three perspectives of the policy process (Kingdon’s multiple streams, Punctuated-Equilibrium Theory, Multi-Level Governance) to understand how and why minimum unit pricing has developed in Scotland and describe implications for efforts to develop evidence-informed policymaking. Methods Semi-structured interviews were conducted with policy actors (politicians, civil servants, academics, advocates, industry representatives) involved in the development of MUP (n = 36). Interviewees were asked about the policy process and the role of evidence in policy development. Data from two other sources (a review of policy documents and an analysis of evidence submission documents to the Scottish Parliament) were used for triangulation. Findings The three perspectives provide complementary understandings of the policy process. Evidence has played an important role in presenting the policy issue of alcohol as a problem requiring action. Scotland-specific data and a change in the policy ‘image’ to a population-based problem contributed to making alcohol-related harms a priority for action. The limited powers of Scottish Government help explain the type of price intervention pursued while distinct aspects of the Scottish political climate favoured the pursuit of price-based interventions. Conclusions Evidence has played a crucial but complex role in the development of an innovative policy. Utilising different political science theories helps explain different aspects of the policy process, with Multi-Level Governance particularly useful for highlighting important lessons for the future of public health policy. PMID:24670519

A senior manufacturing laboratory for determining injection molding process capability

NASA Technical Reports Server (NTRS)

Wickman, Jerry L.; Plocinski, David

1992-01-01

The following is a laboratory experiment designed to further understanding of materials science. This subject material is directed at an upper level undergraduate/graduate student in an Engineering or Engineering Technology program. It is assumed that the student has a thorough understanding of the process and quality control. The format of this laboratory does not follow that which is normally recommended because of the nature of process capability and that of the injection molding equipment and tooling. This laboratory is instead developed to be used as a point of departure for determining process capability for any process in either a quality control laboratory or a manufacturing environment where control charts, process capability, and experimental or product design are considered important topics.

Understanding changes of stomatal conductance under different atmospheric humidity levels for different tropical rainforest species in Biosphere 2

NASA Astrophysics Data System (ADS)

Tornito, A. J. G.

2016-12-01

Understanding the dynamics of climate change is one of the biggest questions that scientists across the globe ask today. With understanding climate change comes the need to understand the ecological systems and how their biological and chemical processes contribute to climate change. As ocean ecosystems, rainforests are very productive systems and are responsible for most of the world's carbon budget. To maintain cooler conditions, tropical forests mitigate warming through evapotranspiration. The purpose of this project was to measure short-term plasticity by looking at stomatal conductance levels of different tropical rainforest species of plants in the rainforest, savannah, and desert habitats in the Biosphere 2 facility in Oracle, Arizona. It is known that stomatal conductance is affected by CO2, H2O, and light availability. It has been observed that temperature levels may not affect stomatal conductance because of the variability associated with it. Results indicated that there is a potential trend amongst these rainforest species when placed in different humidity percentage areas. By understanding stomatal conductance in response to humidity, we can better understand how productive rainforest systems are when humidity levels decrease, which may potentially occur as Earth undergoes global climate change.

The effect of aerosol-derived changes in the warm phase on the properties of deep convective clouds

NASA Astrophysics Data System (ADS)

Chen, Qian; Koren, Ilan; Altaratz, Orit; Heiblum, Reuven; Dagan, Guy

2017-04-01

The aerosol impact on deep convective clouds starts in an increased number of cloud droplets in higher aerosol loading environment. This change drives many others, like enhanced condensational growth, delay in collision-coalescence and others. Since the warm processes serve as the initial and boundary conditions for the mixed and cold-phase processes in deep clouds, it is highly important to understand the aerosol effect on them. The weather research and forecasting model (WRF) with spectral bin microphysics was used to study a deep convective system over the Marshall Islands, during the Kwajalein Experiment (KWAJEX). Three simulations were conducted with aerosol concentrations of 100, 500 and 2000 cm-3, to reflect clean, semipolluted, and polluted conditions. The results of the clean run agreed well with the radar profiles and rain rate observations. The more polluted simulations resulted in larger total cloud mass, larger upper level cloud fraction and rain rates. There was an increased mass both below and above the zero temperature level. It indicates of more efficient growth processes both below and above the zero level. In addition the polluted runs showed an increased upward transport (across the zero level) of liquid water due to both stronger updrafts and larger droplet mobility. In this work we discuss the transport of cloud mass crossing the zero temperature level (in both directions) in order to gain a process level understanding of how aerosol effects on the warm processes affect the macro- and micro-properties of deep convective clouds.

Changes in Processing Adverbial Conjuncts Throughout Adulthood.

ERIC Educational Resources Information Center

Bloom, Ronald J.; And Others

1996-01-01

Examines the use and understanding of concordant and discordant adverbial conjuncts in the latter part of the life span. Young, middle-aged, and elderly adults, matched for education level, were studied. Results indicate a significant decline in processing adverbial conjuncts in the elderly, due to a deficit in linguistic processing rather than a…

Orienting the Work-Based Curriculum Towards Work Process Knowledge: A Rationale and a German Case Study

ERIC Educational Resources Information Center

Boreham, Nick

2004-01-01

The term 'work process knowledge' refers to the knowledge needed for working in flexible and innovative business environments, including those in which information and communication technologies have been introduced to integrate previously separated production functions. It involves a systems-level understanding of the work process in the…

Human-Level Natural Language Understanding: False Progress and Real Challenges

ERIC Educational Resources Information Center

Bignoli, Perrin G.

2013-01-01

The field of Natural Language Processing (NLP) focuses on the study of how utterances composed of human-level languages can be understood and generated. Typically, there are considered to be three intertwined levels of structure that interact to create meaning in language: syntax, semantics, and pragmatics. Not only is a large amount of…

Application of a tablet film coating model to define a process-imposed transition boundary for robust film coating.

PubMed

van den Ban, Sander; Pitt, Kendal G; Whiteman, Marshall

2018-02-01

A scientific understanding of interaction of product, film coat, film coating process, and equipment is important to enable design and operation of industrial scale pharmaceutical film coating processes that are robust and provide the level of control required to consistently deliver quality film coated product. Thermodynamic film coating conditions provided in the tablet film coating process impact film coat formation and subsequent product quality. A thermodynamic film coating model was used to evaluate film coating process performance over a wide range of film coating equipment from pilot to industrial scale (2.5-400 kg). An approximate process-imposed transition boundary, from operating in a dry to a wet environment, was derived, for relative humidity and exhaust temperature, and used to understand the impact of the film coating process on product formulation and process control requirements. This approximate transition boundary may aid in an enhanced understanding of risk to product quality, application of modern Quality by Design (QbD) based product development, technology transfer and scale-up, and support the science-based justification of critical process parameters (CPPs).

Indicator organisms in meat and poultry slaughter operations: their potential use in process control and the role of emerging technologies.

PubMed

Saini, Parmesh K; Marks, Harry M; Dreyfuss, Moshe S; Evans, Peter; Cook, L Victor; Dessai, Uday

2011-08-01

Measuring commonly occurring, nonpathogenic organisms on poultry products may be used for designing statistical process control systems that could result in reductions of pathogen levels. The extent of pathogen level reduction that could be obtained from actions resulting from monitoring these measurements over time depends upon the degree of understanding cause-effect relationships between processing variables, selected output variables, and pathogens. For such measurements to be effective for controlling or improving processing to some capability level within the statistical process control context, sufficiently frequent measurements would be needed to help identify processing deficiencies. Ultimately the correct balance of sampling and resources is determined by those characteristics of deficient processing that are important to identify. We recommend strategies that emphasize flexibility, depending upon sampling objectives. Coupling the measurement of levels of indicator organisms with practical emerging technologies and suitable on-site platforms that decrease the time between sample collections and interpreting results would enhance monitoring process control.

Representations and processes of human spatial competence.

PubMed

Gunzelmann, Glenn; Lyon, Don R

2011-10-01

This article presents an approach to understanding human spatial competence that focuses on the representations and processes of spatial cognition and how they are integrated with cognition more generally. The foundational theoretical argument for this research is that spatial information processing is central to cognition more generally, in the sense that it is brought to bear ubiquitously to improve the adaptivity and effectiveness of perception, cognitive processing, and motor action. We describe research spanning multiple levels of complexity to understand both the detailed mechanisms of spatial cognition, and how they are utilized in complex, naturalistic tasks. In the process, we discuss the critical role of cognitive architectures in developing a consistent account that spans this breadth, and we note some areas in which the current version of a popular architecture, ACT-R, may need to be augmented. Finally, we suggest a framework for understanding the representations and processes of spatial competence and their role in human cognition generally. Copyright © 2011 Cognitive Science Society, Inc.

Neuroscience and education.

PubMed

Goswami, Usha

2004-03-01

Neuroscience is a relatively new discipline encompassing neurology, psychology and biology. It has made great strides in the last 100 years, during which many aspects of the physiology, biochemistry, pharmacology and structure of the vertebrate brain have been understood. Understanding of some of the basic perceptual, cognitive, attentional, emotional and mnemonic functions is also making progress, particularly since the advent of the cognitive neurosciences, which focus specifically on understanding higher level processes of cognition via imaging technology. Neuroimaging has enabled scientists to study the human brain at work in vivo, deepening our understanding of the very complex processes underpinning speech and language, thinking and reasoning, reading and mathematics. It seems timely, therefore, to consider how we might implement our increased understanding of brain development and brain function to explore educational questions.

[The PAI-1 swing: microenvironment and cancer cell migration].

PubMed

Malo, Michel; Charrière-Bertrand, Cécile; Chettaoui, Chafika; Fabre-Guillevin, Elizabeth; Maquerlot, François; Lackmy, Alexandra; Vallée, Benoît; Delaplace, Franck; Barlovatz-Meimon, Georgia

2006-12-01

Cancer is a complex and dynamic process caused by a cellular dysfunction leading to a whole organ or even organism vital perturbation. To better understand this process, we need to study each one of the levels involved, which allows the scale change, and to integrate this knowledge. A matricellular protein, PAI-1, is able to induce in vitro cell behaviour modifications, morphological changes, and to promote cell migration. PAI-1 influences the mesenchymo-amaeboid transition. This matricellular protein should be considered as a potential 'launcher' of the metastatic process acting at the molecular, cellular, tissular levels and, as a consequence, at the organism's level.

[Topographological-anatomic changes in the structure of temporo-mandibular joint in case of fracture of the mandible condylar process at cervical level].

PubMed

Volkov, S I; Bazhenov, D V; Semkin, V A

2011-01-01

Pathological changes in soft tissues surrounding the fracture site as well as in the structural elements of temporo-mandibular joint always occured in condylar process fracture with shift at cervical mandibular jaw level. Other changes were also seen in the joint on the opposite normal side. Modelling of condylar process fracture at mandibular cervical level by means of three-dimensional computer model of temporo-mandibular joint contributed to proper understanding of this pathology emergence as well as to prediction and elimination of disorders arising in adjacent to the fracture site tissues.

WE-DE-202-02: Are Track Structure Simulations Truly Needed for Radiobiology at the Cellular and Tissue Levels?

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

Stewart, R.

Radiation therapy for the treatment of cancer has been established as a highly precise and effective way to eradicate a localized region of diseased tissue. To achieve further significant gains in the therapeutic ratio, we need to move towards biologically optimized treatment planning. To achieve this goal, we need to understand how the radiation-type dependent patterns of induced energy depositions within the cell (physics) connect via molecular, cellular and tissue reactions to treatment outcome such as tumor control and undesirable effects on normal tissue. Several computational biology approaches have been developed connecting physics to biology. Monte Carlo simulations are themore » most accurate method to calculate physical dose distributions at the nanometer scale, however simulations at the DNA scale are slow and repair processes are generally not simulated. Alternative models that rely on the random formation of individual DNA lesions within one or two turns of the DNA have been shown to reproduce the clusters of DNA lesions, including single strand breaks (SSBs), double strand breaks (DSBs) without the need for detailed track structure simulations. Efficient computational simulations of initial DNA damage induction facilitate computational modeling of DNA repair and other molecular and cellular processes. Mechanistic, multiscale models provide a useful conceptual framework to test biological hypotheses and help connect fundamental information about track structure and dosimetry at the sub-cellular level to dose-response effects on larger scales. In this symposium we will learn about the current state of the art of computational approaches estimating radiation damage at the cellular and sub-cellular scale. How can understanding the physics interactions at the DNA level be used to predict biological outcome? We will discuss if and how such calculations are relevant to advance our understanding of radiation damage and its repair, or, if the underlying biological processes are too complex for a mechanistic approach. Can computer simulations be used to guide future biological research? We will debate the feasibility of explaining biology from a physicists’ perspective. Learning Objectives: Understand the potential applications and limitations of computational methods for dose-response modeling at the molecular, cellular and tissue levels Learn about mechanism of action underlying the induction, repair and biological processing of damage to DNA and other constituents Understand how effects and processes at one biological scale impact on biological processes and outcomes on other scales J. Schuemann, NCI/NIH grantsS. McMahon, Funding: European Commission FP7 (grant EC FP7 MC-IOF-623630)« less

Process-Based Thinking in Ecosystem Education

ERIC Educational Resources Information Center

Jordan, Rebecca C.; Gray, Steven A.; Brooks, Wesley R.; Honwad, Sameer; Hmelo-Silver, Cindy E.

2013-01-01

Understanding complex systems such as ecosystems is difficult for young K-12 students, and students' representations of ecosystems are often limited to nebulously defined relationships between macro-level structural components inherent to the ecosystem in focus (rainforest, desert, pond, etc.) instead of generalizing processes across ecosystems…

The assembly and disassembly of ecological networks.

PubMed

Bascompte, Jordi; Stouffer, Daniel B

2009-06-27

Global change has created a severe biodiversity crisis. Species are driven extinct at an increasing rate, and this has the potential to cause further coextinction cascades. The rate and shape of these coextinction cascades depend very much on the structure of the networks of interactions across species. Understanding network structure and how it relates to network disassembly, therefore, is a priority for system-level conservation biology. This process of network collapse may indeed be related to the process of network build-up, although very little is known about both processes and even less about their relationship. Here we review recent work that provides some preliminary answers to these questions. First, we focus on network assembly by emphasizing temporal processes at the species level, as well as the structural building blocks of complex ecological networks. Second, we focus on network disassembly as a consequence of species extinctions or habitat loss. We conclude by emphasizing some general rules of thumb that can help in building a comprehensive framework to understand the responses of ecological networks to global change.

Neural Representations of Location Outside the Hippocampus

ERIC Educational Resources Information Center

Knierim, James J.

2006-01-01

Place cells of the rat hippocampus are a dominant model system for understanding the role of the hippocampus in learning and memory at the level of single-unit and neural ensemble responses. A complete understanding of the information processing and computations performed by the hippocampus requires detailed knowledge about the properties of the…

Toward a Holistic Neurophysiological Understanding of Intrapersonal Communication.

ERIC Educational Resources Information Center

Stacks, Don W.; Andersen, Peter A.

To further the understanding of how the brain operates at the most basic level of interest to human communication theorists, intrapersonal communication, this paper reviews the arguments against the hemispheric dominance theory and for a neurological processing style model of brain functions and then focuses on the impact of the corpus callosum (a…

An Interactive Modeling Lesson Increases Students' Understanding of Ploidy during Meiosis

ERIC Educational Resources Information Center

Wright, L. Kate; Newman, Dina L.

2011-01-01

Chromosome structure is confusing to students at all levels, and chromosome behavior during meiosis is a notoriously difficult topic. Undergraduate biology majors are exposed to the process of meiosis numerous times during their presecondary and postsecondary education, yet understanding of key concepts, such as the point at which haploidy is…

China's Population Program at the Grassroots Level: Report on a Field Trip, Summer 1972.

ERIC Educational Resources Information Center

Chen, Pi-chao

The goals of the Caltech Population Program are to increase understanding of the interrelationships between population growth and socioeconomic and cultural patterns throughout the world and to communicate this understanding. This series of occasional papers is one step in the process of communicating research results. The papers deal primarily…

Using Statistical Natural Language Processing for Understanding Complex Responses to Free-Response Tasks

ERIC Educational Resources Information Center

DeMark, Sarah F.; Behrens, John T.

2004-01-01

Whereas great advances have been made in the statistical sophistication of assessments in terms of evidence accumulation and task selection, relatively little statistical work has explored the possibility of applying statistical techniques to data for the purposes of determining appropriate domain understanding and to generate task-level scoring…

Understanding Gender and Culture within the Context of Spirituality: Implications for Counselors

ERIC Educational Resources Information Center

Passalacqua, Sue; Cervantes, Joseph M.

2008-01-01

This article examines roles that gender, culture, and spirituality play in elements of therapeutic process. It presents an initial literature review of gender, culture, and spirituality as these factors relate to shaping identities and defining one's behavior. Discussions on how these 3 dimensions influence the level of understanding and effective…

Promoting Students' Learning of Air Pressure Concepts: The Interrelationship of Teaching Approaches and Student Learning Characteristics

ERIC Educational Resources Information Center

She, Hsiao-Ching

2005-01-01

The author explored the potential to promote students' understanding of difficult science concepts through an examination of the inter-relationships among the teachers' instructional approach, students' learning preference styles, and their levels of learning process. The concept "air pressure," which requires an understanding of…

Bioenergy Research | Bioenergy | NREL

Science.gov Websites

range of research from exploring biomass at the molecular level through biorefinery process optimization Bioenergetics We work at the molecular and cellular level to understand and optimize microbial production of biofuels and bioproducts. fanciful illustration of fuel nozzle with molecular structures drawn in

How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks

PubMed Central

Chen, Heng; Chen, Xinying

2018-01-01

Language is a complex adaptive system, but how does it change? For investigating this process, four diachronic Chinese word co-occurrence networks have been built based on texts that were written during the last 2,000 years. By comparing the network indicators that are associated with the hierarchical features in language networks, we learn that the hierarchy of Chinese lexical networks has indeed evolved over time at three different levels. The connections of words at the micro level are continually weakening; the number of words in the meso-level communities has increased significantly; and the network is expanding at the macro level. This means that more and more words tend to be connected to medium-central words and form different communities. Meanwhile, fewer high-central words link these communities into a highly efficient small-world network. Understanding this process may be crucial for understanding the increasing structural complexity of the language system. PMID:29489837

How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks.

PubMed

Chen, Heng; Chen, Xinying; Liu, Haitao

2018-01-01

Language is a complex adaptive system, but how does it change? For investigating this process, four diachronic Chinese word co-occurrence networks have been built based on texts that were written during the last 2,000 years. By comparing the network indicators that are associated with the hierarchical features in language networks, we learn that the hierarchy of Chinese lexical networks has indeed evolved over time at three different levels. The connections of words at the micro level are continually weakening; the number of words in the meso-level communities has increased significantly; and the network is expanding at the macro level. This means that more and more words tend to be connected to medium-central words and form different communities. Meanwhile, fewer high-central words link these communities into a highly efficient small-world network. Understanding this process may be crucial for understanding the increasing structural complexity of the language system.

Certification & validation of biosafety level-2 & biosafety level-3 laboratories in Indian settings & common issues

PubMed Central

Mourya, Devendra T.; Yadav, Pragya D.; Khare, Ajay; Khan, Anwar H.

2017-01-01

With increasing awareness regarding biorisk management worldwide, many biosafety laboratories are being setup in India. It is important for the facility users, project managers and the executing agencies to understand the process of validation and certification of such biosafety laboratories. There are some international guidelines available, but there are no national guidelines or reference standards available in India on certification and validation of biosafety laboratories. There is no accredited government/private agency available in India to undertake validation and certification of biosafety laboratories. Therefore, the reliance is mostly on indigenous experience, talent and expertise available, which is in short supply. This article elucidates the process of certification and validation of biosafety laboratories in a concise manner for the understanding of the concerned users and suggests the important parameters and criteria that should be considered and addressed during the laboratory certification and validation process. PMID:29434059

Certification & validation of biosafety level-2 & biosafety level-3 laboratories in Indian settings & common issues.

PubMed

Mourya, Devendra T; Yadav, Pragya D; Khare, Ajay; Khan, Anwar H

2017-10-01

With increasing awareness regarding biorisk management worldwide, many biosafety laboratories are being setup in India. It is important for the facility users, project managers and the executing agencies to understand the process of validation and certification of such biosafety laboratories. There are some international guidelines available, but there are no national guidelines or reference standards available in India on certification and validation of biosafety laboratories. There is no accredited government/private agency available in India to undertake validation and certification of biosafety laboratories. Therefore, the reliance is mostly on indigenous experience, talent and expertise available, which is in short supply. This article elucidates the process of certification and validation of biosafety laboratories in a concise manner for the understanding of the concerned users and suggests the important parameters and criteria that should be considered and addressed during the laboratory certification and validation process.

Narrowing the Gap in Quantification of Aerosol-Cloud Radiative Effects

NASA Astrophysics Data System (ADS)

Feingold, G.; McComiskey, A. C.; Yamaguchi, T.; Kazil, J.; Johnson, J. S.; Carslaw, K. S.

2016-12-01

Despite large advances in our understanding of aerosol and cloud processes over the past years, uncertainty in the aerosol-cloud radiative effect/forcing is still of major concern. In this talk we will advocate a methodology for quantifying the aerosol-cloud radiative effect that considers the primacy of fundamental cloud properties such as cloud amount and albedo alongside the need for process level understanding of aerosol-cloud interactions. We will present a framework for quantifying the aerosol-cloud radiative effect, regime-by-regime, through process-based modelling and observations at the large eddy scale. We will argue that understanding the co-variability between meteorological and aerosol drivers of the radiative properties of the cloud system may be as important an endeavour as attempting to untangle these drivers.

Integrating metabolic modeling and population heterogeneity analysis into optimizing recombinant protein production by Komagataella (Pichia) pastoris.

PubMed

Theron, Chrispian W; Berrios, Julio; Delvigne, Frank; Fickers, Patrick

2018-01-01

The methylotrophic yeast Komagataella (Pichia) pastoris has become one of the most utilized cell factories for the production of recombinant proteins over the last three decades. This success story is linked to its specific physiological traits, i.e., the ability to grow at high cell density in inexpensive culture medium and to secrete proteins at high yield. Exploiting methanol metabolism is at the core of most P. pastoris-based processes but comes with its own challenges. Co-feeding cultures with glycerol/sorbitol and methanol is a promising approach, which can benefit from improved understanding and prediction of metabolic response. The development of profitable processes relies on the construction and selection of efficient producing strains from less efficient ones but also depends on the ability to master the bioreactor process itself. More specifically, how a bioreactor processes could be monitored and controlled to obtain high yield of production. In this review, new perspectives are detailed regarding a multi-faceted approach to recombinant protein production processes by P. pastoris; including gaining improved understanding of the metabolic pathways involved, accounting for variations in transcriptional and translational efficiency at the single cell level and efficient monitoring and control of methanol levels at the bioreactor level.

Emerging Model of Questioning through the Process of Teaching and Learning Electrochemistry

ERIC Educational Resources Information Center

Iksan, Zanaton Haji; Daniel, Esther

2015-01-01

Verbal questioning is a technique used by teachers in the teaching and learning process. Research in Malaysia related to teachers' questioning in the chemistry teaching and learning process is more focused on the level of the questions asked rather than the content to ensure that students understand. Thus, the research discussed in this paper is…

Feel Good--Be Good: Subject Content and Governing Processes in Physical Education

ERIC Educational Resources Information Center

Ohman, Marie; Quennerstedt, Mikael

2008-01-01

Background: In this paper a study of both subject "content" and governing "processes" in Swedish physical education is presented. The reason why an analysis of both content and processes is of special interest is that it makes it possible to understand the encounter between the institutional level and the practice of education.…

Review Article: The Imaging of What in the Multilingual Mind?

ERIC Educational Resources Information Center

de Bot, Kees

2008-01-01

In this review article it is argued that while the number of neuro-imaging (NI) studies on multilingual processing has exploded over the last few years, the contribution of such studies to enhance our understanding of the process of multilingual processing has not been very substantial. There are problems on various levels, which include the…

Using Familiar Contexts to Ease the Transition between A-Level and First-Year Degree-Level Chemistry

ERIC Educational Resources Information Center

Turner, John J.

2013-01-01

This article endeavours to define how an understanding of the context of chemical principles and processes investigated at A-level (post-16) and earlier can be continued and contribute to easing the tensions and uncertainties encountered by chemistry and chemical engineering students on entry to university. The importance of using chemistry…

Decoding the time-course of object recognition in the human brain: From visual features to categorical decisions.

PubMed

Contini, Erika W; Wardle, Susan G; Carlson, Thomas A

2017-10-01

Visual object recognition is a complex, dynamic process. Multivariate pattern analysis methods, such as decoding, have begun to reveal how the brain processes complex visual information. Recently, temporal decoding methods for EEG and MEG have offered the potential to evaluate the temporal dynamics of object recognition. Here we review the contribution of M/EEG time-series decoding methods to understanding visual object recognition in the human brain. Consistent with the current understanding of the visual processing hierarchy, low-level visual features dominate decodable object representations early in the time-course, with more abstract representations related to object category emerging later. A key finding is that the time-course of object processing is highly dynamic and rapidly evolving, with limited temporal generalisation of decodable information. Several studies have examined the emergence of object category structure, and we consider to what degree category decoding can be explained by sensitivity to low-level visual features. Finally, we evaluate recent work attempting to link human behaviour to the neural time-course of object processing. Copyright © 2017 Elsevier Ltd. All rights reserved.

Assessment of the Potential Impact of Combustion Research on Internal Combustion Engine Emission and Fuel Consumption

DOT National Transportation Integrated Search

1979-01-01

A review of the present level of understanding of the basic thermodynamic, fluid dynamic, and chemical kinetic processes which affect the fuel economy and levels of pollutant exhaust products of Diesel, Stratified Charge, and Spark Ignition engines i...

Interactive, process-oriented climate modeling with CLIMLAB

NASA Astrophysics Data System (ADS)

Rose, B. E. J.

2016-12-01

Global climate is a complex emergent property of the rich interactions between simpler components of the climate system. We build scientific understanding of this system by breaking it down into component process models (e.g. radiation, large-scale dynamics, boundary layer turbulence), understanding each components, and putting them back together. Hands-on experience and freedom to tinker with climate models (whether simple or complex) is invaluable for building physical understanding. CLIMLAB is an open-ended software engine for interactive, process-oriented climate modeling. With CLIMLAB you can interactively mix and match model components, or combine simpler process models together into a more comprehensive model. It was created primarily to support classroom activities, using hands-on modeling to teach fundamentals of climate science at both undergraduate and graduate levels. CLIMLAB is written in Python and ties in with the rich ecosystem of open-source scientific Python tools for numerics and graphics. The Jupyter Notebook format provides an elegant medium for distributing interactive example code. I will give an overview of the current capabilities of CLIMLAB, the curriculum we have developed thus far, and plans for the future. Using CLIMLAB requires some basic Python coding skills. We consider this an educational asset, as we are targeting upper-level undergraduates and Python is an increasingly important language in STEM fields.

Mechanisms that synergistically regulate η-secretase processing of APP and Aη-α protein levels: relevance to pathogenesis and treatment of Alzheimer's disease.

PubMed

Ward, Joseph; Wang, Haizhi; Saunders, Aleister J; Tanzi, Rudolph E; Zhang, Can

2017-02-01

The pathophysiology of Alzheimer's disease (AD) is characterized by the formation of cerebral β-amyloid plaque from a small peptide amyloid-β (Aβ). Aβ is generated from the canonical amyloid-β precursor protein (APP) proteolysis pathway through β- and γ-secretases. Decreasing Aβ levels through targeting APP processing is a very promising direction in clinical trials for AD. A novel APP processing pathway was recently identified, in which η-secretase processing of APP occurs and results in the generation of the carboxy-terminal fragment-η (CTF-η or η-CTF) (Wang et al., 2015) and Aη-α peptide (Willem et al., 2015). η-Secretase processing of APP may be up-regulated by at least two mechanisms: either through inhibition of lysosomal-cathepsin degradation pathway (Wang et al., 2015) or through inhibition of BACE1 that competes with η-secretase cleavage of APP (Willem et al., 2015). A thorough characterization of η-processing of APP is critical for a better understanding of AD pathogenesis and insights into results of clinical trials of AD. Here we further investigated η-secretase processing of APP using well-characterized cell models of AD. We found that these two mechanisms act synergistically toward increasing η-secretase processing of APP and Aη-α levels. Furthermore, we evaluated the effects of several other known secretase modulators on η-processing of APP. The results of our study should advance the understanding of pathophysiology of AD, as well as enhance the knowledge in developing effective AD treatments or interventions related to η-secretase processing of APP.

Historical Climate Change Impacts on the Hydrological Processes of the Ponto-Caspian Basin

NASA Astrophysics Data System (ADS)

Koriche, Sifan A.; Singarayer, Joy S.; Coe, Michael T.; Nandini, Sri; Prange, Matthias; Cloke, Hannah; Lunt, Dan

2017-04-01

The Ponto-Caspian basin is one of the largest basins globally, composed of a closed basin (Caspian Sea) and open basins connecting to the global ocean (Black and Azov Sea). Over the historical time period (1850-present) Caspian Sea levels have varied between -25 and -29mbsl (Arpe et al., 2012), resulting in considerable changes to the area of the lake (currently 371,000 km2). Given projections of future climate change and the importance of the Caspian Sea for fisheries, agriculture, and industry, it is vital to understand how sea levels may vary in the future. Hydrological models can be used to assess the impacts of climate change on hydrological processes for future forecasts. However, it is critical to first evaluate such models using observational data for the present and recent past, and to understand the key hydrological processes driving past changes in sea level. In this study, the Terrestrial Hydrological Model (THMB) (Coe, 2000, 2002) is applied and evaluated to investigate the hydrological processes of the Ponto-Caspian basin for the historical period 1900 to 2000. The model has been forced using observational reanalysis datasets (ERA-Interim, ERA-20) and historical climate model data outputs (from CESM and HadCM3 models) to investigate the variability in the Caspian Sea level and the major river discharges. We examine the differences produced by driving the hydrological model with reanalysis data or climate models. We evaluate the model performance compared to observational discharge measurements and Caspian Sea level data. Secondly, we investigated the sensitivity of historical Caspian Sea level variations to different aspects of climate changes to examine the most important processes involved over this time period.

The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches

USGS Publications Warehouse

Serafin, Katherine A.; Ruggiero, Peter; Stockdon, Hilary F.

2017-01-01

To better understand how individual processes combine to cause flooding and erosion events, we investigate the relative contribution of tides, waves, and nontidal residuals to extreme total water levels (TWLs) at the shoreline of U.S. West Coast sandy beaches. Extreme TWLs, defined as the observed annual maximum event and the simulated 100 year return level event, peak in Washington, and are on average larger in Washington and Oregon than in California. The relative contribution of wave-induced and still water levels (SWL) to the 100 year TWL event is similar to that of the annual maximum event; however, the contribution of storm surge to the SWL doubles across events. Understanding the regional variability of TWLs will lead to a better understanding of how sea level rise, changes in storminess, and possible changes in the frequency of major El Niños may impact future coastal flooding and erosion along the U.S. West Coast and elsewhere.

Using iterative learning to improve understanding during the informed consent process in a South African psychiatric genomics study.

PubMed

Campbell, Megan M; Susser, Ezra; Mall, Sumaya; Mqulwana, Sibonile G; Mndini, Michael M; Ntola, Odwa A; Nagdee, Mohamed; Zingela, Zukiswa; Van Wyk, Stephanus; Stein, Dan J

2017-01-01

Obtaining informed consent is a great challenge in global health research. There is a need for tools that can screen for and improve potential research participants' understanding of the research study at the time of recruitment. Limited empirical research has been conducted in low and middle income countries, evaluating informed consent processes in genomics research. We sought to investigate the quality of informed consent obtained in a South African psychiatric genomics study. A Xhosa language version of the University of California, San Diego Brief Assessment of Capacity to Consent Questionnaire (UBACC) was used to screen for capacity to consent and improve understanding through iterative learning in a sample of 528 Xhosa people with schizophrenia and 528 controls. We address two questions: firstly, whether research participants' understanding of the research study improved through iterative learning; and secondly, what were predictors for better understanding of the research study at the initial screening? During screening 290 (55%) cases and 172 (33%) controls scored below the 14.5 cut-off for acceptable understanding of the research study elements, however after iterative learning only 38 (7%) cases and 13 (2.5%) controls continued to score below this cut-off. Significant variables associated with increased understanding of the consent included the psychiatric nurse recruiter conducting the consent screening, higher participant level of education, and being a control. The UBACC proved an effective tool to improve understanding of research study elements during consent, for both cases and controls. The tool holds utility for complex studies such as those involving genomics, where iterative learning can be used to make significant improvements in understanding of research study elements. The UBACC may be particularly important in groups with severe mental illness and lower education levels. Study recruiters play a significant role in managing the quality of the informed consent process.

The Disposition to Understand for Oneself at University: Integrating Learning Processes with Motivation and Metacognition

ERIC Educational Resources Information Center

Entwistle, Noel; McCune, Velda

2013-01-01

Background: A re-analysis of several university-level interview studies has suggested that some students show evidence of a deep and stable approach to learning, along with other characteristics that support the approach. This combination, it was argued, could be seen to indicate a "disposition to understand for oneself." Aim: To…

Awareness among Teachers of Learning Disabilities in Students at Different Board Levels

ERIC Educational Resources Information Center

Mehta, Deepti

2006-01-01

Learning disability is a complex phenomenon to understand. There are many connotations of learning disabilities thus even today it creates confusion in the mind of the general public and the professionals. Learning disability is a disorder in one or more of the basic psychological processes involved in understanding or using spoken or written…

Developing Critical Understanding by Teaching Action Research to Undergraduate Psychology Students

ERIC Educational Resources Information Center

Jacobs, Gaby; Murray, Michael

2010-01-01

Action research assumes the active engagement of the stakeholders, such as the community, in the research, and a multiple-level process of reflection in order to evaluate and monitor the actions taken. This makes action research a suitable methodology to increase the critical understanding of the participants. In this paper we describe the…

An Inquiry-Based Practical for a Large, Foundation-Level Undergraduate Laboratory that Enhances Student Understanding of Basic Cellular Concepts and Scientific Experimental Design

ERIC Educational Resources Information Center

Bugarcic, A.; Zimbardi, K.; Macaranas, J.; Thorn, P.

2012-01-01

Student-centered education involving research experiences or inquiry have been shown to help undergraduate students understand, and become excited about, the process of scientific investigation. These benefits are particularly important for students in the early stages of their degree (Report and Kenny,…

From Phenotype to Genotype: Exploring Middle School Students' Understanding of Genetic Inheritance in a Web-Based Environment

ERIC Educational Resources Information Center

Williams, Michelle; Montgomery, Beronda L.; Manokore, Viola

2012-01-01

Research shows that students face challenges as they learn about genetic inheritance. The challenges could emanate from the fact that genetic inheritance involves unseen processes at different organizational levels. We explored students' understanding of heredity and related concepts such as cells and reproduction using a Web-based Science Inquiry…

Understanding Success: A Case Study of Gendered Change in the Professoriate

ERIC Educational Resources Information Center

O'Connor, Pat

2014-01-01

In this article, the focus is on understanding the success of one university in increasing the proportion of women at professorial level from zero in 1997 to 34 per cent in 2012, considerably above the averages for Irish, European Union and Australian universities. Using a concept of leadership "as a process of influence" and drawing on…

Toward a process-level view of distributed healthcare tasks: Medication management as a case study.

PubMed

Werner, Nicole E; Malkana, Seema; Gurses, Ayse P; Leff, Bruce; Arbaje, Alicia I

2017-11-01

We aim to highlight the importance of using a process-level view in analyzing distributed healthcare tasks through a case study analysis of medication management (MM). MM during older adults' hospital-to-skilled-home-healthcare (SHHC) transitions is a healthcare process with tasks distributed across people, organizations, and time. MM has typically been studied at the task level, but a process-level is needed to fully understand and improve MM during transitions. A process-level view allows for a broader investigation of how tasks are distributed throughout the work system through an investigation of interactions and the resultant emergent properties. We studied MM during older adults' hospital-to-SHHC transitions through interviews and observations with 60 older adults, their 33 caregivers, and 79 SHHC providers at 5 sites associated with 3 SHHC agencies. Study findings identified key cross-system characteristics not observable at the task-level: (1) identification of emergent properties (e.g., role ambiguity, loosely-coupled teams performing MM) and associated barriers; and (2) examination of barrier propagation across system boundaries. Findings highlight the importance of a process-level view of healthcare delivery occurring across system boundaries. Copyright © 2017 Elsevier Ltd. All rights reserved.

Land management: data availability and process understanding for global change studies.

PubMed

Erb, Karl-Heinz; Luyssaert, Sebastiaan; Meyfroidt, Patrick; Pongratz, Julia; Don, Axel; Kloster, Silvia; Kuemmerle, Tobias; Fetzel, Tamara; Fuchs, Richard; Herold, Martin; Haberl, Helmut; Jones, Chris D; Marín-Spiotta, Erika; McCallum, Ian; Robertson, Eddy; Seufert, Verena; Fritz, Steffen; Valade, Aude; Wiltshire, Andrew; Dolman, Albertus J

2017-02-01

In the light of daunting global sustainability challenges such as climate change, biodiversity loss and food security, improving our understanding of the complex dynamics of the Earth system is crucial. However, large knowledge gaps related to the effects of land management persist, in particular those human-induced changes in terrestrial ecosystems that do not result in land-cover conversions. Here, we review the current state of knowledge of ten common land management activities for their biogeochemical and biophysical impacts, the level of process understanding and data availability. Our review shows that ca. one-tenth of the ice-free land surface is under intense human management, half under medium and one-fifth under extensive management. Based on our review, we cluster these ten management activities into three groups: (i) management activities for which data sets are available, and for which a good knowledge base exists (cropland harvest and irrigation); (ii) management activities for which sufficient knowledge on biogeochemical and biophysical effects exists but robust global data sets are lacking (forest harvest, tree species selection, grazing and mowing harvest, N fertilization); and (iii) land management practices with severe data gaps concomitant with an unsatisfactory level of process understanding (crop species selection, artificial wetland drainage, tillage and fire management and crop residue management, an element of crop harvest). Although we identify multiple impediments to progress, we conclude that the current status of process understanding and data availability is sufficient to advance with incorporating management in, for example, Earth system or dynamic vegetation models in order to provide a systematic assessment of their role in the Earth system. This review contributes to a strategic prioritization of research efforts across multiple disciplines, including land system research, ecological research and Earth system modelling. © 2016 John Wiley & Sons Ltd.

The AgroEcoSystem-Watershed (AgES-W) model: overview and application to experimental watersheds

USDA-ARS?s Scientific Manuscript database

Progress in the understanding of physical, chemical, and biological processes influencing water quality, coupled with advances in the collection and analysis of hydrologic data, provide opportunities for significant innovations in the manner and level with which watershed-scale processes may be quan...

Conceptual Level of Understanding about Sound Concept: Sample of Fifth Grade Students

ERIC Educational Resources Information Center

Bostan Sarioglan, Ayberk

2016-01-01

In this study, students' conceptual change processes related to the sound concept were examined. Study group was comprises of 325 fifth grade middle school students. Three multiple-choice questions were used as the data collection tool. At the data analysis process "scientific response", "scientifically unacceptable response"…

Learning Processes and Approaches: Examining Their Interrelationships to Understand Student Learning

ERIC Educational Resources Information Center

Chennamsetti, Prashanti

2008-01-01

The purpose of this paper is to explore the relationship between two contrasting research paradigms, namely, cognitive and experiential research, a significant literature review previously unaddressed. To achieve this objective, a conceptual description of three theoretical frameworks, Dual-Store model, Levels of Processing (LOP; drawn from…

Using Sap Flow Monitoring for Improved Process-based Ecohydrologic Understanding 2022

USDA-ARS?s Scientific Manuscript database

Sap flow measurements can be an important tool for unraveling the complex web of ecosystem fluxes, especially when it is combined with other measurements like eddy covariance, isotopes, remote sensing, etc. In this talk, we will demonstrate how sap flow measurements have improved our process-level u...

Source Apportionment of Suspended Sediment Sources using 137Cs and 210Pbxs

NASA Astrophysics Data System (ADS)

Lamba, J.; Karthikeyan, K.; Thompson, A.

2017-12-01

A study was conducted in the Pleasant Valley Watershed (50 km 2) in South Central Wisconsin to better understand sediment transport processes using sediment fingerprinting technique. Previous studies conducted in this watershed showed that resuspension of fine sediment deposited on the stream bed is an important source of suspended sediment. To better understand the role of fine sediment deposited on the stream bed, fallout radionuclides,137Cs and 210Pbxs were used to determine relative contribution to suspended sediment from in-stream (stream bank and stream bed) and upland sediment sources. Suspended sediment samples were collected during the crop growing season. Potential sources of suspended sediment considered in this study included cropland, pasture and in-stream (stream bed and stream bank). Suspended sediment sources were determined at a subwatershed level. Results of this study showed that in-stream sediment sources are important sources of suspended sediment. Future research should be conducted to better understand the role of legacy sediment in watershed-level sediment transport processes.

HYPOXIA EFFECT ON THE TRANSFORMATION, SPECIATION, BIOAVAILABILITY AND TOXICITY OF CHEMICAL CONTAMINANTS IN THE HYPOXIC ZONE

EPA Science Inventory

This Symposium seeks to understand the direct effect of hypoxia on aquatic biota at the individual population, and the ecosystem levels. Another concern, however, is the indirect effect of varying oxygen levels on the thermodynamics and kinetics of biogeochemical processes and ...

Influencing Change for Teacher Leader Professional Learning: A Phenomenological Study

ERIC Educational Resources Information Center

Reichert, Emily C.

2010-01-01

Implementing district level change to an established teacher leader professional development model calls for an understanding of the power and influence structures within the school district. Levels of power and influence are impacted by four main factors in the change process: roles in the organization, ability to communicate, personal…

The relationship between health related quality of life and sensory deficits among patients with diabetes mellitus.

PubMed

Engel-Yeger, Batya; Darawsha Najjar, Sanaa; Darawsha, Mahmud

2017-08-13

(1) To profile sensory deficits examined in the ability to process sensory information from daily environment and discriminate between tactile stimuli among patients with controlled and un-controlled diabetes mellitus. (2) Examine the relationship between the sensory deficits and patients' health-related quality of life. This study included 115 participants aged 33-55 with uncontrolled (n = 22) or controlled (n = 24) glycemic levels together with healthy subjects (n = 69). All participants completed the brief World Health Organization Quality of Life Questionnaire, the Adolescent/Adult Sensory Profile and performed the tactile discrimination test. Sensory deficits were more emphasized among patients with uncontrolled glycemic levels as expressed in difficulties to register sensory input, lower sensation seeking in daily environments and difficulties to discriminate between tactile stimuli. They also reported the lowest physical and social quality of life as compared to the other two groups. Better sensory seeking and registration predicted better quality of life. Disease control and duration contributed to these predictions. Difficulties in processing sensory information from their daily environments are particularly prevalent among patients with uncontrolled glycemic levels, and significantly impacted their quality of life. Clinicians should screen for sensory processing difficulties among patients with diabetes mellitus and understand their impacts on patients' quality of life. Implications for Rehabilitation Patients with diabetes mellitus, and particularly those with uncontrolled glycemic levels, may have difficulties in processing sensory information from daily environment. A multidisciplinary intervention approach is recommended: clinicians should screen for sensory processing deficits among patients with diabetes mellitus and understand their impacts on patients' daily life. By providing the patients with environmental adaptations and coping strategies, clinicians may assist in optimizing sensory experiences in real life context and elevate patients' quality of life. Relating to quality of life and emphasizing a multidisciplinary approach is of major importance in broadening our understanding of health conditions and providing holistic treatment for patients.

The Moon: Keystone to Understanding Planetary Geological Processes and History

NASA Technical Reports Server (NTRS)

2002-01-01

Extensive and intensive exploration of the Earth's Moon by astronauts and an international array of automated spacecraft has provided an unequaled data set that has provided deep insight into geology, geochemistry, mineralogy, petrology, chronology, geophysics and internal structure. This level of insight is unequaled except for Earth. Analysis of these data sets over the last 35 years has proven fundamental to understanding planetary surface processes and evolution, and is essential to linking surface processes with internal and thermal evolution. Much of the understanding that we presently have of other terrestrial planets and outer planet satellites derives from the foundation of these data. On the basis of these data, the Moon is a laboratory for understanding of planetary processes and a keystone for providing evolutionary perspective. Important comparative planetology issues being addressed by lunar studies include impact cratering, magmatic activity and tectonism. Future planetary exploration plans should keep in mind the importance of further lunar exploration in continuing to build solid underpinnings in this keystone to planetary evolution. Examples of these insights and applications to other planets are cited.

Optimization Case Study: ISR Allocation in the Global Force Management Process

DTIC Science & Technology

2016-09-01

Communications Intelligence (COMINT), and other intelligence collection capabilities. The complexity of FMV force allocation makes FMV the ideal...Joint Staff (2014). 5 This chapter will step through the GFM allocation process and develop an understanding of the GFM process depicted in Figure 1...contentious. The contentious issue will go through a resolution process consisting of action officer and General Officer/Flag Officer (GOFO) level forums

An investigative model evaluating how consumers process pictorial information on nonprescription medication labels.

PubMed

Sansgiry, S S; Cady, P S

1997-01-01

Currently, marketed over-the-counter (OTC) medication labels were simulated and tested in a controlled environment to understand consumer evaluation of OTC label information. Two factors, consumers' age (younger and older adults) and label designs (picture-only, verbal-only, congruent picture-verbal, and noncongruent picture-verbal) were controlled and tested to evaluate consumer information processing. The effects exerted by the independent variables, namely, comprehension of label information (understanding) and product evaluations (satisfaction, certainty, and perceived confusion) were evaluated on the dependent variable purchase intention. Intention measured as purchase recommendation was significantly related to product evaluations and affected by the factor label design. Participants' level of perceived confusion was more important than actual understanding of information on OTC medication labels. A Label Evaluation Process Model was developed which could be used for future testing of OTC medication labels.

Investigation of ball bond integrity for 0.8 mil (20 microns) diameter gold bonding wire on low k die in wire bonding technology

NASA Astrophysics Data System (ADS)

Kudtarkar, Santosh Anil

Microelectronics technology has been undergoing continuous scaling to accommodate customer driven demand for smaller, faster and cheaper products. This demand has been satisfied by using novel materials, design techniques and processes. This results in challenges for the chip connection technology and also the package technology. The focus of this research endeavor was restricted to wire bond interconnect technology using gold bonding wires. Wire bond technology is often regarded as a simple first level interconnection technique. In reality, however, this is a complex process that requires a thorough understanding of the interactions between the design, material and process variables, and their impact on the reliability of the bond formed during this process. This research endeavor primarily focused on low diameter, 0.8 mil thick (20 mum) diameter gold bonding wire. Within the scope of this research, the integrity of the ball bond formed by 1.0 mil (25 mum) and 0.8 mil (20 mum) diameter wires was compared. This was followed by the evaluation of bonds formed on bond pads having doped SiO2 (low k) as underlying structures. In addition, the effect of varying the percentage of the wire dopant, palladium and bonding process parameters (bonding force, bond time, ultrasonic energy) for 0.8 mil (20 mum) bonding wire was also evaluated. Finally, a degradation empirical model was developed to understand the decrease in the wire strength. This research effort helped to develop a fundamental understanding of the various factors affecting the reliability of a ball bond from a design (low diameter bonding wire), material (low k and bonding wire dopants), and process (wire bonding process parameters) perspective for a first level interconnection technique, namely wire bonding. The significance of this research endeavor was the systematic investigation of the ball bonds formed using 0.8 mil (20 microm) gold bonding wire within the wire bonding arena. This research addressed low k structures on 90 nm silicon technology, bonding wires with different percentage of doping element (palladium), and different levels of bonding process parameters. An empirical model to understand the high temperature effects for bonds formed using the low diameter wire was also developed.

Understanding and becoming - the heart of the matter in nurse education.

PubMed

Sandvik, Ann-Helén; Eriksson, Katie; Hilli, Yvonne

2015-03-01

The aim of this study was to deepen the understanding of student nurses' processes of understanding and becoming nurses. The study is phenomenological-hermeneutic in design, comprising data from three focus group interviews in two Scandinavian countries. The process of student nurses' understanding and becoming a nurse emerged as a hermeneutical movement. A caring student-preceptor relationship and a growth-promoting preception in a supportive and inclusive environment provide the frame within which the movement happens. The movement towards understanding and becoming is initiated as students, based on their level of knowledge, are given responsibility. In order to fulfil the responsibility imposed on them, students take their entire repertoire of knowledge into consideration. By tying these threads together, they found the basis for conscious action, and care is provided according to what the current situation requires. The experiences obtained are reflected on and integrated with earlier knowledge, which leads to enhanced understanding. Students form a new base to stand on. They show increased readiness for still more responsibility and action. This movement towards deeper understanding and becoming affects the students also ethically and deepens their ethical awareness. When one loop of understanding and becoming is closed the process continues by passing into a new loop. This movement could be described as a hermeneutical spiral consisting of interconnected loops taking the students further and deeper in their process of understanding and becoming a nurse. The student-preceptor relationship and the ethos permeating it are decisive for students' learning both epistemologically and ontologically. Responsibility is the catalyst in students' understanding and becoming both intellectually and ethically. Understanding and becoming are ongoing processes of appropriation, thus altering students both professionally and personally. Understanding and becoming can be perceived as the hearth of the matter in nurse education. © 2014 Nordic College of Caring Science.

Receptor-ligand binding sites and virtual screening.

PubMed

Hattotuwagama, Channa K; Davies, Matthew N; Flower, Darren R

2006-01-01

Within the pharmaceutical industry, the ultimate source of continuing profitability is the unremitting process of drug discovery. To be profitable, drugs must be marketable: legally novel, safe and relatively free of side effects, efficacious, and ideally inexpensive to produce. While drug discovery was once typified by a haphazard and empirical process, it is now increasingly driven by both knowledge of the receptor-mediated basis of disease and how drug molecules interact with receptors and the wider physiome. Medicinal chemistry postulates that to understand a congeneric ligand series, or set thereof, is to understand the nature and requirements of a ligand binding site. Likewise, structural molecular biology posits that to understand a binding site is to understand the nature of ligands bound therein. Reality sits somewhere between these extremes, yet subsumes them both. Complementary to rules of ligand design, arising through decades of medicinal chemistry, structural biology and computational chemistry are able to elucidate the nature of binding site-ligand interactions, facilitating, at both pragmatic and conceptual levels, the drug discovery process.

Longitudinal trajectories of self-system processes and depressive symptoms among maltreated and nonmaltreated children

PubMed Central

Kim, Jungmeen; Cicchetti, Dante

2006-01-01

This study used latent growth modeling to investigate longitudinal relationships between self-system processes and depressive symptoms among maltreated (n=142) and nonmaltreated children (n=109) aged 6–11 years. On average, self-esteem and self-agency increased and depressive symptoms decreased over time. Multivariate growth modeling indicated that, regardless of gender, physical abuse was negatively related to initial levels of self-esteem, and physical abuse and physical neglect were positively associated with initial levels of depressive symptoms. Emotional maltreatment was predictive of changes in self-esteem and changes in depressive symptoms. Initial levels of self-esteem were negatively associated with initial levels of depressive symptoms. The findings contribute to enhancing our understanding of the developmental processes whereby early maltreatment experiences are linked to later maladjustment. PMID:16686792

Measuring and assessing maintainability at the end of high level design

NASA Technical Reports Server (NTRS)

Briand, Lionel C.; Morasca, Sandro; Basili, Victor R.

1993-01-01

Software architecture appears to be one of the main factors affecting software maintainability. Therefore, in order to be able to predict and assess maintainability early in the development process we need to be able to measure the high-level design characteristics that affect the change process. To this end, we propose a measurement approach, which is based on precise assumptions derived from the change process, which is based on Object-Oriented Design principles and is partially language independent. We define metrics for cohesion, coupling, and visibility in order to capture the difficulty of isolating, understanding, designing and validating changes.

Accreditation Issues Related to Adult Degree Programs

ERIC Educational Resources Information Center

Simpson, Edward G., Jr.

2004-01-01

Understanding the fundamental tenets and structure of the accreditation process can assist institutions in the design of high-quality degree programs while affording adult students a reasonable level of consumer protection.

Secondary Students' Understanding of Basic Ideas of Special Relativity

ERIC Educational Resources Information Center

Dimitriadi, Kyriaki; Halkia, Krystallia

2012-01-01

A major topic that has marked "modern physics" is the theory of special relativity (TSR). The present work focuses on the possibility of teaching the basic ideas of the TSR to students at the upper secondary level in such a way that they are able to understand and learn the ideas. Its aim is to investigate students' learning processes towards the…

Nitrous oxide emissions from soils: how well do we understand the processes and their controls?

PubMed Central

Butterbach-Bahl, Klaus; Baggs, Elizabeth M.; Dannenmann, Michael; Kiese, Ralf; Zechmeister-Boltenstern, Sophie

2013-01-01

Although it is well established that soils are the dominating source for atmospheric nitrous oxide (N2O), we are still struggling to fully understand the complexity of the underlying microbial production and consumption processes and the links to biotic (e.g. inter- and intraspecies competition, food webs, plant–microbe interaction) and abiotic (e.g. soil climate, physics and chemistry) factors. Recent work shows that a better understanding of the composition and diversity of the microbial community across a variety of soils in different climates and under different land use, as well as plant–microbe interactions in the rhizosphere, may provide a key to better understand the variability of N2O fluxes at the soil–atmosphere interface. Moreover, recent insights into the regulation of the reduction of N2O to dinitrogen (N2) have increased our understanding of N2O exchange. This improved process understanding, building on the increased use of isotope tracing techniques and metagenomics, needs to go along with improvements in measurement techniques for N2O (and N2) emission in order to obtain robust field and laboratory datasets for different ecosystem types. Advances in both fields are currently used to improve process descriptions in biogeochemical models, which may eventually be used not only to test our current process understanding from the microsite to the field level, but also used as tools for up-scaling emissions to landscapes and regions and to explore feedbacks of soil N2O emissions to changes in environmental conditions, land management and land use. PMID:23713120

Processing Mechanisms in Hearing-Impaired Listeners: Evidence from Reaction Times and Sentence Interpretation.

PubMed

Carroll, Rebecca; Uslar, Verena; Brand, Thomas; Ruigendijk, Esther

The authors aimed to determine whether hearing impairment affects sentence comprehension beyond phoneme or word recognition (i.e., on the sentence level), and to distinguish grammatically induced processing difficulties in structurally complex sentences from perceptual difficulties associated with listening to degraded speech. Effects of hearing impairment or speech in noise were expected to reflect hearer-specific speech recognition difficulties. Any additional processing time caused by the sustained perceptual challenges across the sentence may either be independent of or interact with top-down processing mechanisms associated with grammatical sentence structure. Forty-nine participants listened to canonical subject-initial or noncanonical object-initial sentences that were presented either in quiet or in noise. Twenty-four participants had mild-to-moderate hearing impairment and received hearing-loss-specific amplification. Twenty-five participants were age-matched peers with normal hearing status. Reaction times were measured on-line at syntactically critical processing points as well as two control points to capture differences in processing mechanisms. An off-line comprehension task served as an additional indicator of sentence (mis)interpretation, and enforced syntactic processing. The authors found general effects of hearing impairment and speech in noise that negatively affected perceptual processing, and an effect of word order, where complex grammar locally caused processing difficulties for the noncanonical sentence structure. Listeners with hearing impairment were hardly affected by noise at the beginning of the sentence, but were affected markedly toward the end of the sentence, indicating a sustained perceptual effect of speech recognition. Comprehension of sentences with noncanonical word order was negatively affected by degraded signals even after sentence presentation. Hearing impairment adds perceptual processing load during sentence processing, but affects grammatical processing beyond the word level to the same degree as in normal hearing, with minor differences in processing mechanisms. The data contribute to our understanding of individual differences in speech perception and language understanding. The authors interpret their results within the ease of language understanding model.

Advances in distributed watershed modeling: a review and application of the AgroEcoSystem-Watershed (AgES-W) model

USDA-ARS?s Scientific Manuscript database

Progress in the understanding of physical, chemical, and biological processes influencing water quality, coupled with advancements in the collection and analysis of hydrologic data, provide opportunities for significant innovations in the manner and level with which watershed-scale processes may be ...

Differences in net primary production and biogeochemistry between contrasting floodplain forests

Treesearch

Erik B. Schilling; B. Graeme Lockaby

2000-01-01

A firm understanding of the driving forces controlling variation among wetland forests continues to elude scientists and land managers—specifically the biogeochemical processes controlling vegetation production. Within contrasting wetland forests, insight into the biogeochemical processes driving productivity levels may befound by examining the degree to which nitrogen...

Using Piaget's Theory of Cognitive Development to Understand the Construction of Healing Narratives

ERIC Educational Resources Information Center

Cook-Cottone, Catherine P.

2004-01-01

The construction of healing narratives is a framework within which the college counselor can view the progressive development of the counseling process. The level of a client's narrative processing appears to depend on an interaction between experience-specific knowledge and experience-specific emotionality. Implications for college counselors and…

Sanitary Engineering Unit Operations and Unit Processes Laboratory Manual.

ERIC Educational Resources Information Center

American Association of Professors in Sanitary Engineering.

This manual contains a compilation of experiments in Physical Operations, Biological and Chemical Processes for various education and equipment levels. The experiments are designed to be flexible so that they can be adapted to fit the needs of a particular program. The main emphasis is on hands-on student experiences to promote understanding.…

Challenges and progress in distributed watershed modeling: applications of the AgroEcoSystem-Watershed (AgES-W) model

USDA-ARS?s Scientific Manuscript database

Progress in the understanding of physical, chemical, and biological processes influencing water quality, coupled with advances in the collection and analysis of hydrologic data, provide opportunities for significant innovations in the manner and level with which watershed-scale processes may be quan...

Focusing on the Individual Change Process in School Restructuring.

ERIC Educational Resources Information Center

Peca, Kathy

Understanding what change is and how schools change determines the success of school reform. This paper addresses the nature of the change process at the individual level. Two assumptions are made about change. First, behavior is based on beliefs and values, and individuals, not groups or organizations, change. Second, change must satisfy the…

Designing a Flood-Risk Education Program in the Netherlands

ERIC Educational Resources Information Center

Bosschaart, Adwin; van der Schee, Joop; Kuiper, Wilmad

2016-01-01

This study focused on designing a flood-risk education program to enhance 15-year-old students' flood-risk perception. In the flood-risk education program, learning processes were modeled in such a way that the arousal of moderate levels of fear should prompt experiential and analytical information processing. In this way, understanding of flood…

The interconnection of wet and dry deposition and the response of deposition to incorporation of new process understanding in regional models.

EPA Science Inventory

Process level improvements in the CMAQ system have been made to WRF meteorology, lightning NO production, national ammonia emission profiles, and CMAQ ammonia air-surface exchange. An incremental study was conducted to quantify the impact of individual and combined changes on mo...

Connecting the Curriculum through National Science and Mathematics Standards: A Matrix Approach.

ERIC Educational Resources Information Center

Francis, Raymond

This paper provides instructions for linking conceptual understandings using the Connections Matrix. The Connections Matrix and the process of connecting the curriculum works equally well with state-level learning objectives or outcomes. The intent of this process is to help educators see the overlap and connections between what teachers say they…

Catchment hydrological responses to forest harvest amount and spatial pattern

Treesearch

Alex Abdelnour; Marc Stieglitz; Feifei Pan; Robert McKane

2011-01-01

Forest harvest effects on streamflow generation have been well described experimentally, but a clear understanding of process-level hydrological controls can be difficult to ascertain from data alone. We apply a new model, Visualizing Ecosystems for Land Management Assessments (VELMA), to elucidate how hillslope and catchment-scale processes control stream discharge in...

Special event planning for the emergency manager.

PubMed

Gaynor, Peter T

2009-11-01

In the domain of emergency management and homeland security there is a lack of a formal planning process at the local level when it comes to special event planning. The unique nature of special event planning demands an understanding of the planning process for both traditional and non-traditional planning partners. This understanding will make certain that local governments apply due diligence when planning for the safety of the public. This paper offers a practical roadmap for planning at the local level. It will address those 'special events' that are beyond routine local events but not of a sufficient scale to be granted National Special Security Event status. Due to the infrequency of 'special events' in most communities, it is imperative that deliberate planning takes place. Upon conclusion, the reader will be able to construct a planning process tailored to the needs of their community, guide both traditional and non-traditional planning partners through the planning process, determine priorities, explore alternatives, plan for contingencies, conduct a confirmation brief, facilitate operations and assemble an after-action report and improvement plan.

Household Decision-Making Process: It's Effect on School Dropout Behavior for Girls in the Secondary School Level in Bangladesh

ERIC Educational Resources Information Center

Shahidul, S. M.

2013-01-01

This study aims to understand the parents' household decision-making process with respect to allowing girls to drop out of school, an area that has, thus far, been overlooked in the research regarding school dropouts. This paper has examined the household decision-making process between fathers and mothers and explores how their respective levels…

Teachers' Pedagogical Content Knowledge and Mathematics Achievement of Students in Peru

ERIC Educational Resources Information Center

Cueto, Santiago; León, Juan; Sorto, M. Alejandra; Miranda, Alejandra

2017-01-01

After improving enrolment rates significantly, many developing countries such as Peru are facing the challenge to increase learning levels among students. Over the past few years, many researchers have turned to teacher-related variables as a way to better understand classroom processes that may help increase learning levels among students. In…

Reading Processing Skills among EFL Learners in Different Proficiency Levels

ERIC Educational Resources Information Center

Dhanapala, Kusumi Vasantha; Yamada, Jun

2015-01-01

This study aims to understand how EFL learners in different reading proficiency levels comprehend L2 texts, using five-component skills involving measures of (1) vocabulary knowledge, (2) drawing inferences and predictions, (3) knowledge of text structure and discourse organization, (4) identifying the main idea and summarizing skills, and (5)…

Newspapers and Adult Understanding of Public Affairs: Two Longitudinal Community Studies.

ERIC Educational Resources Information Center

Tichenor, P. J.; And Others

Two longitudinal field studies of the process of information dissemination through newspapers were conducted on two different public affairs topics (regional planning and routing of a high voltage power line) in four communities to examine the role of newspapers in increasing levels of conflict and in creating greater levels of awareness and…

Some Components of Geometric Knowledge of Future Elementary School Teachers

ERIC Educational Resources Information Center

Debrenti, Edith

2016-01-01

Geometric experience, spatial representation, spatial visualization, understanding the world around us, and developing the ability of spatial reasoning are fundamental aims in the teaching of mathematics. (Freudenthal, 1972) Learning is a process which involves advancing from level to level. In primary school the focus is on the first two levels…

A Classroom Activity for Teaching Electric Polarization of Insulators and Conductors

ERIC Educational Resources Information Center

Deligkaris, Christos

2018-01-01

The phenomenon of electric polarization is crucial to student understanding of forces exerted between charged objects and insulators or conductors, the process of charging by induction, and the behavior of electroscopes near charged objects. In addition, polarization allows for microscopic-level models of everyday-life macroscopic-level phenomena.…

A Grounded Theory of Master's-Level Counselor Research Identity

ERIC Educational Resources Information Center

Jorgensen, Maribeth F.; Duncan, Kelly

2015-01-01

A grounded theory approach was used to examine the research identity of 17 master's-level counseling trainees and practitioners. The emergent theory gave an understanding to sources of variation in the process and outcome of research identity. The authors provide recommendations for counselor educators to use with current and former students.

Consonant Age-of-Acquisition Effects in Nonword Repetition Are Not Articulatory in Nature

ERIC Educational Resources Information Center

Moore, Michelle W.; Fiez, Julie A.; Tompkins, Connie A.

2017-01-01

Purpose: Most research examining long-term-memory effects on nonword repetition (NWR) has focused on lexical-level variables. Phoneme-level variables have received little attention, although there are reasons to expect significant sublexical effects in NWR. To further understand the underlying processes of NWR, this study examined effects of…

How Effective Are Simulated Molecular-Level Experiments for Teaching Diffusion and Osmosis?

ERIC Educational Resources Information Center

Meir, Eli; Perry, Judith; Stal, Derek; Maruca, Susan; Klopfer, Eric

2005-01-01

Diffusion and osmosis are central concepts in biology, both at the cellular and organ levels. They are presented several times throughout most introductory biology textbooks (e.g., Freeman, 2002), yet both processes are often difficult for students to understand (Odom, 1995; Zuckerman, 1994; Sanger "et al.", 2001; and results herein). Students…

Sentence-Level Rewriting Detection

ERIC Educational Resources Information Center

Zhang, Fan; Litman, Diane

2014-01-01

Writers usually need iterations of revisions and edits during their writings. To better understand the process of rewriting, we need to know what has changed be-tween the revisions. Prior work mainly focuses on detecting corrections within sentences, which is at the level of words or phrases. This paper proposes to detect revision changes at the…

Higher Education Policy and Institutional Change: Intentions and Outcomes in Turbulent Environments.

ERIC Educational Resources Information Center

Trowler, Paul R., Ed.

The chapters in this collection focus on three levels of analysis of higher education: national policymaking, institutional strategy, and the ground level of departments and individual academics. Examples from various countries are analyzed in light of recent theoretical understandings of the policy process. The chapters are: (1) Introduction:…

Study of multi-level atomic systems with the application of magnetic field

NASA Astrophysics Data System (ADS)

Hu, Jianping; Roy, Subhankar; Ummal Momeen, M.

2018-04-01

The complexity of multiple energy levels associated with each atomic system determines the various processes related to light- matter interactions. It is necessary to understand the influence of different levels in a given atomic system. In this work we focus on multi- level atomic schemes with the application of magnetic field. We analyze the different EIT windows which appears in the presence of moderately high magnetic field (∼ 10 G) strength.

Interactions among conifer terpenoids and bark beetles across multiple levels of scale: An attempt to understand links between population patterns and physiological processes

Treesearch

Kenneth F. Raffa; Briah H. Aukema; Nadir Erbilgin; Kier D. Klepzig; Kimberly F. Wallin

2005-01-01

A major challenge confronting ecologists involves scaling up and down across various levels of biological organization. The ability to conduct such scaling is important, because there is often a gap between the level at which information is most needed or best described versus the level at which it is most reliably generated or best explained. Many patterns are most...

Building a Community Framework for Adaptation to Sea Level Rise and Inundation

NASA Astrophysics Data System (ADS)

Culver, M. E.; Schubel, J.; Davidson, M. A.; Haines, J.

2010-12-01

Sea level rise and inundation pose a substantial risk to many coastal communities, and the risk is projected to increase because of continued development, changes in the frequency and intensity of inundation events, and acceleration in the rate of sea-level rise. Calls for action at all levels acknowledge that a viable response must engage federal, state and local expertise, perspectives, and resources in a coordinated and collaborative effort. Representatives from a variety of these agencies and organizations have developed a shared framework to help coastal communities structure and facilitate community-wide adaptation processes and to help agencies determine where investments should be made to enable states and local governments to assess impacts and initiate adaptation strategies over the next decade. For sea level rise planning and implementation, the requirements for high-quality data and information are vast and the availability is limited. Participants stressed the importance of data interoperability to ensure that users are able to apply data from a variety of sources and to improve availability and confidence in the data. Participants were able to prioritize the following six categories of data needed to support future sea level rise planning and implementation: - Data to understand land forms and where and how water will flow - Monitoring data and environmental drivers - Consistent sea level rise scenarios and projections across agencies to support local planning - Data to characterize vulnerabilities and impacts of sea level rise - Community characteristics - Legal frameworks and administrative structure. To develop a meaningful and effective sea level rise adaptation plan, state and local planners must understand how the availability, scale, and uncertainty of these types of data will impact new guidelines or adaptation measures. The tools necessary to carry-out the adaptation planning process need to be understood in terms of data requirements, assumptions of the method, and the reliability and utility of the outputs. This type of information will assist the community in choosing among the available options. Communities have experience with storm and hazardous events, and the response typically is to return to pre-event conditions. With sea level rise, there will need to be a shift in perception and response from storm events, and the people must collectively arrive at a new vision for their community in light of a changing environment. Understanding the possible scenarios and the uncertainty or probability of those scenarios is a critical component in the adaptation process. Although there is a broad constituency that does not know the issue well, many communities are savvy about the impacts of sea level rise. Armed with the available information and resources and an understanding of the uncertainties, many communities are ready to take action. Successful adaptation planning will require that all sectors — local, state, federal, academic, nongovernmental, and the private sector — work together throughout the process to provide local communities with resources, scientific and political support.

The NASA/DOD aerospace knowledge diffusion research project: A research agenda

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Kennedy, John M.

1990-01-01

The project has both immediate and long term purposes. In the first instance it provides a practical and pragmatic basis for understanding how the results of NASA/DoD research diffuse into the aerospace R and D process. Over the long term it provides an empirical basis for understanding the aerospace knowledge diffusion process itself, and its implications at the individual, organizational, national, and international levels. The project is studying the major barriers to effective knowledge diffusion. This project will provide descriptive and analytical data regarding the flow of scientific and technical information (STI). It will examine both channels used to communicate information and the social system of the aerospace knowledge diffusion process.

In situ monitoring of biomolecular processes in living systems using surface-enhanced Raman scattering

NASA Astrophysics Data System (ADS)

Altunbek, Mine; Kelestemur, Seda; Culha, Mustafa

2015-12-01

Surface-enhanced Raman scattering (SERS) continues to strive to gather molecular level information from dynamic biological systems. It is our ongoing effort to utilize the technique for understanding of the biomolecular processes in living systems such as eukaryotic and prokaryotic cells. In this study, the technique is investigated to identify cell death mechanisms in 2D and 3D in vitro cell culture models, which is a very important process in tissue engineering and pharmaceutical applications. Second, in situ biofilm formation monitoring is investigated to understand how microorganisms respond to the environmental stimuli, which inferred information can be used to interfere with biofilm formation and fight against their pathogenic activity.

Higher-level fusion for military operations based on abductive inference: proof of principle

NASA Astrophysics Data System (ADS)

Pantaleev, Aleksandar V.; Josephson, John

2006-04-01

The ability of contemporary military commanders to estimate and understand complicated situations already suffers from information overload, and the situation can only grow worse. We describe a prototype application that uses abductive inferencing to fuse information from multiple sensors to evaluate the evidence for higher-level hypotheses that are close to the levels of abstraction needed for decision making (approximately JDL levels 2 and 3). Abductive inference (abduction, inference to the best explanation) is a pattern of reasoning that occurs naturally in diverse settings such as medical diagnosis, criminal investigations, scientific theory formation, and military intelligence analysis. Because abduction is part of common-sense reasoning, implementations of it can produce reasoning traces that are very human understandable. Automated abductive inferencing can be deployed to augment human reasoning, taking advantage of computation to process large amounts of information, and to bypass limits to human attention and short-term memory. We illustrate the workings of the prototype system by describing an example of its use for small-unit military operations in an urban setting. Knowledge was encoded as it might be captured prior to engagement from a standard military decision making process (MDMP) and analysis of commander's priority intelligence requirements (PIR). The system is able to reasonably estimate the evidence for higher-level hypotheses based on information from multiple sensors. Its inference processes can be examined closely to verify correctness. Decision makers can override conclusions at any level and changes will propagate appropriately.

Progress in high-level exploratory vision

NASA Astrophysics Data System (ADS)

Brand, Matthew

1993-08-01

We have been exploring the hypothesis that vision is an explanatory process, in which causal and functional reasoning about potential motion plays an intimate role in mediating the activity of low-level visual processes. In particular, we have explored two of the consequences of this view for the construction of purposeful vision systems: Causal and design knowledge can be used to (1) drive focus of attention, and (2) choose between ambiguous image interpretations. An important result of visual understanding is an explanation of the scene's causal structure: How action is originated, constrained, and prevented, and what will happen in the immediate future. In everyday visual experience, most action takes the form of motion, and most causal analysis takes the form of dynamical analysis. This is even true of static scenes, where much of a scene's interest lies in how possible motions are arrested. This paper describes our progress in developing domain theories and visual processes for the understanding of various kinds of structured scenes, including structures built out of children's constructive toys and simple mechanical devices.

A risk-based approach to management of leachables utilizing statistical analysis of extractables.

PubMed

Stults, Cheryl L M; Mikl, Jaromir; Whelehan, Oliver; Morrical, Bradley; Duffield, William; Nagao, Lee M

2015-04-01

To incorporate quality by design concepts into the management of leachables, an emphasis is often put on understanding the extractable profile for the materials of construction for manufacturing disposables, container-closure, or delivery systems. Component manufacturing processes may also impact the extractable profile. An approach was developed to (1) identify critical components that may be sources of leachables, (2) enable an understanding of manufacturing process factors that affect extractable profiles, (3) determine if quantitative models can be developed that predict the effect of those key factors, and (4) evaluate the practical impact of the key factors on the product. A risk evaluation for an inhalation product identified injection molding as a key process. Designed experiments were performed to evaluate the impact of molding process parameters on the extractable profile from an ABS inhaler component. Statistical analysis of the resulting GC chromatographic profiles identified processing factors that were correlated with peak levels in the extractable profiles. The combination of statistically significant molding process parameters was different for different types of extractable compounds. ANOVA models were used to obtain optimal process settings and predict extractable levels for a selected number of compounds. The proposed paradigm may be applied to evaluate the impact of material composition and processing parameters on extractable profiles and utilized to manage product leachables early in the development process and throughout the product lifecycle.

Application of construal level and value-belief norm theories to undergraduate decision-making on a wildlife socio-scientific issue

NASA Astrophysics Data System (ADS)

Sutter, A. McKinzie; Dauer, Jenny M.; Forbes, Cory T.

2018-06-01

One aim of science education is to develop scientific literacy for decision-making in daily life. Socio-scientific issues (SSI) and structured decision-making frameworks can help students reach these objectives. This research uses value belief norm (VBN) theory and construal level theory (CLT) to explore students' use of personal values in their decision-making processes and the relationship between abstract and concrete problematization and their decision-making. Using mixed methods, we conclude that the level of abstraction with which students problematise a prairie dog agricultural production and ecosystem preservation issue has a significant relationship to the values students used in the decision-making process. However, neither abstraction of the problem statement nor students' surveyed value orientations were significantly related to students' final decisions. These results may help inform teachers' understanding of students and their use of a structured-decision making tool in a classroom, and aid researchers in understanding if these tools help students remain objective in their analyses of complex SSIs.

How Dynamic Visualization Technology can Support Molecular Reasoning

NASA Astrophysics Data System (ADS)

Levy, Dalit

2013-10-01

This paper reports the results of a study aimed at exploring the advantages of dynamic visualization for the development of better understanding of molecular processes. We designed a technology-enhanced curriculum module in which high school chemistry students conduct virtual experiments with dynamic molecular visualizations of solid, liquid, and gas. They interact with the visualizations and carry out inquiry activities to make and refine connections between observable phenomena and atomic level processes related to phase change. The explanations proposed by 300 pairs of students in response to pre/post-assessment items have been analyzed using a scale for measuring the level of molecular reasoning. Results indicate that from pretest to posttest, students make progress in their level of molecular reasoning and are better able to connect intermolecular forces and phase change in their explanations. The paper presents the results through the lens of improvement patterns and the metaphor of the "ladder of molecular reasoning," and discusses how this adds to our understanding of the benefits of interacting with dynamic molecular visualizations.

The role of prefrontal catecholamines in attention and working memory

PubMed Central

Clark, Kelsey L.; Noudoost, Behrad

2014-01-01

While much progress has been made in identifying the brain regions and neurochemical systems involved in the cognitive processes disrupted in mental illnesses, to date, the level of detail at which neurobiologists can describe the chain of events giving rise to cognitive functions is very rudimentary. Much of the intense interest in understanding cognitive functions is motivated by the hope that it might be possible to understand these complex functions at the level of neurons and neural circuits. Here, we review the current state of the literature regarding how modulations in catecholamine levels within the prefrontal cortex (PFC) alter the neuronal and behavioral correlates of cognitive functions, particularly attention and working memory. PMID:24782714

Overcoming obstacles to implementation: addressing political, institutional and behavioral problems in earthquake hazard mitigation policies

NASA Astrophysics Data System (ADS)

Alesch, Daniel J.; Petak, William J.

2002-06-01

This project is aimed at bridging the three planes, from basic research, through enabling processes, to engineered systems. At the basic research plane, we have been working to improve our collective understanding about obstacles to implementing mitigation practices, owner decision processes (in connection with other MCEER projects), and public policy processes. At the level of enabling processes, we have been seeking to develop an understanding of how obstacles to greater mitigation can be overcome by improved policy design and processes. At the engineered systems plane, our work is intended to result in practical guidelines for devising policies and programs with appropriate motivation and incentives for implementing policies and programs once adopted. This phase of the research has been aimed, first, at a thorough, multidisciplinary review of the literature concerning obstacles to implementation. Second, the research has focused on advancing the state of the art by developing means for integrating the insights offered by diverse perspectives on the implementation process from the several social, behavioral, and decision sciences. The research establishes a basis for testing our understanding of these processes in the case of hospital retrofit decisions.

Unconscious learning processes: mental integration of verbal and pictorial instructional materials.

PubMed

Kuldas, Seffetullah; Ismail, Hairul Nizam; Hashim, Shahabuddin; Bakar, Zainudin Abu

2013-12-01

This review aims to provide an insight into human learning processes by examining the role of cognitive and emotional unconscious processing in mentally integrating visual and verbal instructional materials. Reviewed literature shows that conscious mental integration does not happen all the time, nor does it necessarily result in optimal learning. Students of all ages and levels of experience cannot always have conscious awareness, control, and the intention to learn or promptly and continually organize perceptual, cognitive, and emotional processes of learning. This review suggests considering the role of unconscious learning processes to enhance the understanding of how students form or activate mental associations between verbal and pictorial information. The understanding would assist in presenting students with spatially-integrated verbal and pictorial instructional materials as a way of facilitating mental integration and improving teaching and learning performance.

System-level biomechanical approach for the evaluation of term and preterm pregnancy maintenance.

PubMed

Mahmoud, Hussam; Wagoner Johnson, Amy; Chien, Edward K; Poellmann, Michael J; McFarlin, Barbara

2013-02-01

Preterm birth is the primary contributor to perinatal morbidity and mortality, with those born prior to 32 weeks disproportionately contributing compared to those born at 32-37 weeks. Outcomes for babies born prematurely can be devastating. Parturition is recognized as a mechanical process that involves the two processes that are required to initiate labor: rhythmic myometrial contractions and cervical remodeling with subsequent dilation. Studies of parturition tend to separate these two processes rather than evaluate them as a unified system. The mechanical property characterization of the cervix has been primarily performed on isolated cervical tissue, with an implied understanding of the contribution from the uterine corpus. Few studies have evaluated the function of the uterine corpus in the absence of myometrial contractions or in relationship to retaining the fetus. Therefore, the cervical-uterine interaction has largely been neglected in the literature. We suggest that a system-level biomechanical approach is needed to understand pregnancy maintenance. To that end, this paper has two main goals. One goal is to highlight the gaps in current knowledge that need to be addressed in order to develop any comprehensive and clinically relevant models of the system. The second goal is to illustrate the utility of finite element models in understanding pregnancy maintenance of the cervical-uterine system. The paper targets an audience that includes the reproductive biologist/clinician and the engineer/physical scientist interested in biomechanics and the system level behavior of tissues.

Inferring diffusion in single live cells at the single-molecule level

PubMed Central

Robson, Alex; Burrage, Kevin; Leake, Mark C.

2013-01-01

The movement of molecules inside living cells is a fundamental feature of biological processes. The ability to both observe and analyse the details of molecular diffusion in vivo at the single-molecule and single-cell level can add significant insight into understanding molecular architectures of diffusing molecules and the nanoscale environment in which the molecules diffuse. The tool of choice for monitoring dynamic molecular localization in live cells is fluorescence microscopy, especially so combining total internal reflection fluorescence with the use of fluorescent protein (FP) reporters in offering exceptional imaging contrast for dynamic processes in the cell membrane under relatively physiological conditions compared with competing single-molecule techniques. There exist several different complex modes of diffusion, and discriminating these from each other is challenging at the molecular level owing to underlying stochastic behaviour. Analysis is traditionally performed using mean square displacements of tracked particles; however, this generally requires more data points than is typical for single FP tracks owing to photophysical instability. Presented here is a novel approach allowing robust Bayesian ranking of diffusion processes to discriminate multiple complex modes probabilistically. It is a computational approach that biologists can use to understand single-molecule features in live cells. PMID:23267182

The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities☆

PubMed Central

Caligiore, Daniele; Pezzulo, Giovanni; Miall, R. Chris; Baldassarre, Gianluca

2013-01-01

Research on action understanding in cognitive neuroscience has led to the identification of a wide “action understanding network” mainly encompassing parietal and premotor cortical areas. Within this cortical network mirror neurons are critically involved implementing a neural mechanism according to which, during action understanding, observed actions are reflected in the motor patterns for the same actions of the observer. We suggest that focusing only on cortical areas and processes could be too restrictive to explain important facets of action understanding regarding, for example, the influence of the observer's motor experience, the multiple levels at which an observed action can be understood, and the acquisition of action understanding ability. In this respect, we propose that aside from the cortical action understanding network, sub-cortical processes pivoting on cerebellar and basal ganglia cortical loops could crucially support both the expression and the acquisition of action understanding abilities. Within the paper we will discuss how this extended view can overcome some limitations of the “pure” cortical perspective, supporting new theoretical predictions on the brain mechanisms underlying action understanding that could be tested by future empirical investigations. PMID:23911926

Probabilistic Estimates of Global Mean Sea Level and its Underlying Processes

NASA Astrophysics Data System (ADS)

Hay, C.; Morrow, E.; Kopp, R. E.; Mitrovica, J. X.

2015-12-01

Local sea level can vary significantly from the global mean value due to a suite of processes that includes ongoing sea-level changes due to the last ice age, land water storage, ocean circulation changes, and non-uniform sea-level changes that arise when modern-day land ice rapidly melts. Understanding these sources of spatial and temporal variability is critical to estimating past and present sea-level change and projecting future sea-level rise. Using two probabilistic techniques, a multi-model Kalman smoother and Gaussian process regression, we have reanalyzed 20th century tide gauge observations to produce a new estimate of global mean sea level (GMSL). Our methods allow us to extract global information from the sparse tide gauge field by taking advantage of the physics-based and model-derived geometry of the contributing processes. Both methods provide constraints on the sea-level contribution of glacial isostatic adjustment (GIA). The Kalman smoother tests multiple discrete models of glacial isostatic adjustment (GIA), probabilistically computing the most likely GIA model given the observations, while the Gaussian process regression characterizes the prior covariance structure of a suite of GIA models and then uses this structure to estimate the posterior distribution of local rates of GIA-induced sea-level change. We present the two methodologies, the model-derived geometries of the underlying processes, and our new probabilistic estimates of GMSL and GIA.

Using process monitor wafers to understand directed self-assembly defects

NASA Astrophysics Data System (ADS)

Cao, Yi; Her, YoungJun; Delgadillo, Paulina R.; Vandenbroeck, Nadia; Gronheid, Roel; Chan, Boon Teik; Hashimoto, Yukio; Romo, Ainhoa; Somervell, Mark; Nafus, Kathleen; Nealey, Paul F.

2013-03-01

As directed self-assembly (DSA) has gained momentum over the past few years, questions about its application to high volume manufacturing have arisen. One of the major concerns is about the fundamental limits of defectivity that can be attained with the technology. If DSA applications demonstrate defectivity that rivals of traditional lithographic technologies, the pathway to the cost benefits of the technology creates a very compelling case for its large scale implementation. To address this critical question, our team at IMEC has established a process monitor flow to track the defectivity behaviors of an exemplary chemo-epitaxy application for printing line/space patterns. Through establishing this baseline, we have been able to understand both traditional lithographic defect sources in new materials as well as new classes of assembly defects associated with DSA technology. Moreover, we have explored new materials and processing to lower the level of the defectivity baseline. The robustness of the material sets and process is investigated as well. In this paper, we will report the understandings learned from the IMEC DSA process monitor flow.

Bridging the Gap between Implicit and Explicit Understanding: How Language Development Promotes the Processing and Representation of False Belief

ERIC Educational Resources Information Center

San Juan, Valerie; Astington, Janet Wilde

2012-01-01

Recent advancements in the field of infant false-belief reasoning have brought into question whether performance on implicit and explicit measures of false belief is driven by the same level of representational understanding. The success of infants on implicit measures has also raised doubt over the role that language development plays in the…

Coping and Buoyancy in the Workplace: Understanding Their Effects on Teachers' Work-Related Well-Being and Engagement

ERIC Educational Resources Information Center

Parker, Philip D.; Martin, Andrew J.

2009-01-01

Given the high levels of attrition in the teaching profession there is a need for research to better understand factors that lead to greater teacher well-being and engagement. The present study explores the roles of coping and buoyancy in predicting teacher well-being and engagement. In particular, a process model is hypothesized in which the use…

Image Understanding Research

DTIC Science & Technology

1983-10-19

knowledge -based symbolic reasoning, it nonetheless remains de- pendent on the lower levels of iconic processing for its raw information . Both sorts of...priori knowledge of where any particular line might go, and therefore no information regarding the extent of memory access required for the local...IC FILE COPY ,. c 4/t/7 ISG Report 104 IMAGE UNDERSTANDING RESEARCH Final Technical Report Covering Research Activity During the Period October 1

Is Schizophrenia a Disorder of Consciousness? Experimental and Phenomenological Support for Anomalous Unconscious Processing

PubMed Central

Giersch, Anne; Mishara, Aaron L.

2017-01-01

Decades ago, several authors have proposed that disorders in automatic processing lead to intrusive symptoms or abnormal contents in the consciousness of people with schizophrenia. However, since then, studies have mainly highlighted difficulties in patients’ conscious experiencing and processing but rarely explored how unconscious and conscious mechanisms may interact in producing this experience. We report three lines of research, focusing on the processing of spatial frequencies, unpleasant information, and time-event structure that suggest that impairments occur at both the unconscious and conscious level. We argue that focusing on unconscious, physiological and automatic processing of information in patients, while contrasting that processing with conscious processing, is a first required step before understanding how distortions or other impairments emerge at the conscious level. We then indicate that the phenomenological tradition of psychiatry supports a similar claim and provides a theoretical framework helping to understand the relationship between the impairments and clinical symptoms. We base our argument on the presence of disorders in the minimal self in patients with schizophrenia. The minimal self is tacit and non-verbal and refers to the sense of bodily presence. We argue this sense is shaped by unconscious processes, whose alteration may thus affect the feeling of being a unique individual. This justifies a focus on unconscious mechanisms and a distinction from those associated with consciousness. PMID:29033868

WE-DE-202-00: Connecting Radiation Physics with Computational Biology

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

NONE

Radiation therapy for the treatment of cancer has been established as a highly precise and effective way to eradicate a localized region of diseased tissue. To achieve further significant gains in the therapeutic ratio, we need to move towards biologically optimized treatment planning. To achieve this goal, we need to understand how the radiation-type dependent patterns of induced energy depositions within the cell (physics) connect via molecular, cellular and tissue reactions to treatment outcome such as tumor control and undesirable effects on normal tissue. Several computational biology approaches have been developed connecting physics to biology. Monte Carlo simulations are themore » most accurate method to calculate physical dose distributions at the nanometer scale, however simulations at the DNA scale are slow and repair processes are generally not simulated. Alternative models that rely on the random formation of individual DNA lesions within one or two turns of the DNA have been shown to reproduce the clusters of DNA lesions, including single strand breaks (SSBs), double strand breaks (DSBs) without the need for detailed track structure simulations. Efficient computational simulations of initial DNA damage induction facilitate computational modeling of DNA repair and other molecular and cellular processes. Mechanistic, multiscale models provide a useful conceptual framework to test biological hypotheses and help connect fundamental information about track structure and dosimetry at the sub-cellular level to dose-response effects on larger scales. In this symposium we will learn about the current state of the art of computational approaches estimating radiation damage at the cellular and sub-cellular scale. How can understanding the physics interactions at the DNA level be used to predict biological outcome? We will discuss if and how such calculations are relevant to advance our understanding of radiation damage and its repair, or, if the underlying biological processes are too complex for a mechanistic approach. Can computer simulations be used to guide future biological research? We will debate the feasibility of explaining biology from a physicists’ perspective. Learning Objectives: Understand the potential applications and limitations of computational methods for dose-response modeling at the molecular, cellular and tissue levels Learn about mechanism of action underlying the induction, repair and biological processing of damage to DNA and other constituents Understand how effects and processes at one biological scale impact on biological processes and outcomes on other scales J. Schuemann, NCI/NIH grantsS. McMahon, Funding: European Commission FP7 (grant EC FP7 MC-IOF-623630)« less

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

McMahon, S.

Radiation therapy for the treatment of cancer has been established as a highly precise and effective way to eradicate a localized region of diseased tissue. To achieve further significant gains in the therapeutic ratio, we need to move towards biologically optimized treatment planning. To achieve this goal, we need to understand how the radiation-type dependent patterns of induced energy depositions within the cell (physics) connect via molecular, cellular and tissue reactions to treatment outcome such as tumor control and undesirable effects on normal tissue. Several computational biology approaches have been developed connecting physics to biology. Monte Carlo simulations are themore » most accurate method to calculate physical dose distributions at the nanometer scale, however simulations at the DNA scale are slow and repair processes are generally not simulated. Alternative models that rely on the random formation of individual DNA lesions within one or two turns of the DNA have been shown to reproduce the clusters of DNA lesions, including single strand breaks (SSBs), double strand breaks (DSBs) without the need for detailed track structure simulations. Efficient computational simulations of initial DNA damage induction facilitate computational modeling of DNA repair and other molecular and cellular processes. Mechanistic, multiscale models provide a useful conceptual framework to test biological hypotheses and help connect fundamental information about track structure and dosimetry at the sub-cellular level to dose-response effects on larger scales. In this symposium we will learn about the current state of the art of computational approaches estimating radiation damage at the cellular and sub-cellular scale. How can understanding the physics interactions at the DNA level be used to predict biological outcome? We will discuss if and how such calculations are relevant to advance our understanding of radiation damage and its repair, or, if the underlying biological processes are too complex for a mechanistic approach. Can computer simulations be used to guide future biological research? We will debate the feasibility of explaining biology from a physicists’ perspective. Learning Objectives: Understand the potential applications and limitations of computational methods for dose-response modeling at the molecular, cellular and tissue levels Learn about mechanism of action underlying the induction, repair and biological processing of damage to DNA and other constituents Understand how effects and processes at one biological scale impact on biological processes and outcomes on other scales J. Schuemann, NCI/NIH grantsS. McMahon, Funding: European Commission FP7 (grant EC FP7 MC-IOF-623630)« less

WE-DE-202-01: Connecting Nanoscale Physics to Initial DNA Damage Through Track Structure Simulations

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

Schuemann, J.

Radiation therapy for the treatment of cancer has been established as a highly precise and effective way to eradicate a localized region of diseased tissue. To achieve further significant gains in the therapeutic ratio, we need to move towards biologically optimized treatment planning. To achieve this goal, we need to understand how the radiation-type dependent patterns of induced energy depositions within the cell (physics) connect via molecular, cellular and tissue reactions to treatment outcome such as tumor control and undesirable effects on normal tissue. Several computational biology approaches have been developed connecting physics to biology. Monte Carlo simulations are themore » most accurate method to calculate physical dose distributions at the nanometer scale, however simulations at the DNA scale are slow and repair processes are generally not simulated. Alternative models that rely on the random formation of individual DNA lesions within one or two turns of the DNA have been shown to reproduce the clusters of DNA lesions, including single strand breaks (SSBs), double strand breaks (DSBs) without the need for detailed track structure simulations. Efficient computational simulations of initial DNA damage induction facilitate computational modeling of DNA repair and other molecular and cellular processes. Mechanistic, multiscale models provide a useful conceptual framework to test biological hypotheses and help connect fundamental information about track structure and dosimetry at the sub-cellular level to dose-response effects on larger scales. In this symposium we will learn about the current state of the art of computational approaches estimating radiation damage at the cellular and sub-cellular scale. How can understanding the physics interactions at the DNA level be used to predict biological outcome? We will discuss if and how such calculations are relevant to advance our understanding of radiation damage and its repair, or, if the underlying biological processes are too complex for a mechanistic approach. Can computer simulations be used to guide future biological research? We will debate the feasibility of explaining biology from a physicists’ perspective. Learning Objectives: Understand the potential applications and limitations of computational methods for dose-response modeling at the molecular, cellular and tissue levels Learn about mechanism of action underlying the induction, repair and biological processing of damage to DNA and other constituents Understand how effects and processes at one biological scale impact on biological processes and outcomes on other scales J. Schuemann, NCI/NIH grantsS. McMahon, Funding: European Commission FP7 (grant EC FP7 MC-IOF-623630)« less

The importance of integration and scale in the arbuscular mycorrhizal symbiosis.

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

Miller, R. M.; Kling, M.; Environmental Research

The arbuscular mycorrhizal (AM) fungus contributes to system processes and functions at various hierarchical organizational levels, through their establishment of linkages and feedbacks between whole-plants and nutrient cycles. Even though these fungal mediated feedbacks and linkages involve lower-organizational level processes (e.g. photo-assimilate partitioning, interfacial assimilate uptake and transport mechanisms, intraradical versus extraradical fungal growth), they influence higher-organizational scales that affect community and ecosystem behavior (e.g. whole-plant photosynthesis, biodiversity, nutrient and carbon cycling, soil structure). Hence, incorporating AM fungi into research directed at understanding many of the diverse environmental issues confronting society will require knowledge of how these fungi respond tomore » or initiate changes in vegetation dynamics, soil fertility or both. Within the last few years, the rapid advancement in the development of analytical tools has increased the resolution by which we are able to quantify the mycorrhizal symbiosis. It is important that these tools are applied within a conceptual framework that is temporally and spatially relevant to fungus and host. Unfortunately, many of the studies being conducted on the mycorrhizal symbiosis at lower organizational scales are concerned with questions directed solely at understanding fungus or host without awareness of what the plant physiologist or ecologist needs for integrating the mycorrhizal association into larger organizational scales or process levels. We show by using the flow of C from plant-to-fungus-to-soil, that through thoughtful integration, we have the ability to bridge different organizational scales. Thus, an essential need of mycorrhizal research is not only to better integrate the various disciplines of mycorrhizal research, but also to identify those relevant links and scales needing further investigation for understanding the larger-organizational level responses.« less

Ambiguous meanings of projects as facilitators of sensegiving.

PubMed

Lunkka, Nina; Suhonen, Marjo

2015-10-01

To describe mid-level nurse managers' experiences of sensegiving in the context of hospital projects. Sensegiving is about shaping and affecting how employees see themselves, their work and issues related to their work. It has been little studied in the context of hospital projects from mid-level nurse managers' point of view. Mid-level nurse managers (n = 10) were interviewed about their experiences of projects from the viewpoint of sensegiving during change processes. Data was analysed using discourse analysis. Three repertoires were constructed from the data: the repertoires of regeneration, control and humane. Projects were considered as appropriate ways for sensegiving in hospitals from the viewpoint of mid-level nurse managers. In order to use projects effectively in hospitals as means for change management mid-level nurse managers ought to enhance their role as interpreters during the change process (i.e. strengthen their visioning, talk and dialogue skills). Training on the nature of change as a social and interactive process could deepen mid-level nurse managers' understanding of the change process in the context of hospital projects. © 2014 John Wiley & Sons Ltd.

Understanding a Basic Biological Process: Expert and Novice Models of Science.

ERIC Educational Resources Information Center

Kindfield, A. C. H.

1994-01-01

Reports on the meiosis models utilized by five individuals at each of three levels of expertise in genetics as each reasoned about this process in an individual interview setting. Results revealed a set of biologically correct features common to all individuals' models as well as a variety of model flaws (i.e., meiosis misunderstandings) which are…

Multimedia Instruction Presented by Integrated Context to Enhance Understanding of Compass-and- Straightedge Construction

ERIC Educational Resources Information Center

Chen, Ming-Jang; Lee, Chun-Yi; Lei, Kin Hang; Tso, Tai-Yih; Lin, Shih-Li

2017-01-01

This study examined the effectiveness of an integrated context approach to the instruction of basic compass-and-straightedge construction. The formulation of a perpendicular bisector of a segment was used as a knowledge module to guide students from the pre-attention level to the elaboration level of information processing. The students were…

Bridging the gap between implicit and explicit understanding: how language development promotes the processing and representation of false belief.

PubMed

San Juan, Valerie; Astington, Janet Wilde

2012-03-01

Recent advancements in the field of infant false-belief reasoning have brought into question whether performance on implicit and explicit measures of false belief is driven by the same level of representational understanding. The success of infants on implicit measures has also raised doubt over the role that language development plays in the development of false-belief reasoning. In the current paper, we argue that children's performance on disparate measures cannot be used to infer similarities in understanding across different age groups. Instead, we argue that development must continue to occur between the periods when children can reason implicitly and then explicitly about false belief. We then propose mechanisms by which language associated with false-belief tasks facilitates this transition by assisting with both the processes of elicited response selection and the formation of metarepresentational understanding. © 2011 The British Psychological Society.

Darwin's missing link - a novel paradigm for evolution education

NASA Astrophysics Data System (ADS)

Catley, Kefyn M.

2006-09-01

Microevolutionary mechanisms are taught almost exclusively in our schools, to the detriment of those mechanisms that allow us to understand the larger picture - macroevolution. The results are demonstrable; as a result of the strong emphasis on micro processes in evolution education, students and teachers still have poor understanding of the processes which operate at the macro level, and virtually no understanding at all of the history of life on our planet. Natural selection has become synonymous with the suite of processes we call evolution. This paper makes the case for a paradigm shift in evolution education, so that both perspectives - micro and macro - are given equal weight. Increasingly, issues of bioethics, human origins, cloning, etc., are being cast in a light that requires an understanding of macroevolution. To deny our students access to this debate is to deny the call for universal science literacy. A methodology from professional practice is proposed that could achieve this goal, and discussed in light of its utility, theoretical underpinnings, and historical legacy. A mandate for research is proposed that focuses on learners' understanding of several challenging macroevolutionary concepts, including species, the formation of higher groups, deep time, and hierarchical thinking.

Evaluation of different signal processing options in unilateral and bilateral cochlear freedom implant recipients using R-Space background noise.

PubMed

Brockmeyer, Alison M; Potts, Lisa G

2011-02-01

Difficulty understanding in background noise is a common complaint of cochlear implant (CI) recipients. Programming options are available to improve speech recognition in noise for CI users including automatic dynamic range optimization (ADRO), autosensitivity control (ASC), and a two-stage adaptive beamforming algorithm (BEAM). However, the processing option that results in the best speech recognition in noise is unknown. In addition, laboratory measures of these processing options often show greater degrees of improvement than reported by participants in everyday listening situations. To address this issue, Compton-Conley and colleagues developed a test system to replicate a restaurant environment. The R-SPACE™ consists of eight loudspeakers positioned in a 360 degree arc and utilizes a recording made at a restaurant of background noise. The present study measured speech recognition in the R-SPACE with four processing options: standard dual-port directional (STD), ADRO, ASC, and BEAM. A repeated-measures, within-subject design was used to evaluate the four different processing options at two noise levels. Twenty-seven unilateral and three bilateral adult Nucleus Freedom CI recipients. The participants' everyday program (with no additional processing) was used as the STD program. ADRO, ASC, and BEAM were added individually to the STD program to create a total of four programs. Participants repeated Hearing in Noise Test sentences presented at 0 degrees azimuth with R-SPACE restaurant noise at two noise levels, 60 and 70 dB SPL. The reception threshold for sentences (RTS) was obtained for each processing condition and noise level. In 60 dB SPL noise, BEAM processing resulted in the best RTS, with a significant improvement over STD and ADRO processing. In 70 dB SPL noise, ASC and BEAM processing had significantly better mean RTSs compared to STD and ADRO processing. Comparison of noise levels showed that STD and BEAM processing resulted in significantly poorer RTSs in 70 dB SPL noise compared to the performance with these processing conditions in 60 dB SPL noise. Bilateral participants demonstrated a bilateral improvement compared to the better monaural condition for both noise levels and all processing conditions, except ASC in 60 dB SPL noise. The results of this study suggest that the use of processing options that utilize noise reduction, like those available in ASC and BEAM, improve a CI recipient's ability to understand speech in noise in listening situations similar to those experienced in the real world. The choice of the best processing option is dependent on the noise level, with BEAM best at moderate noise levels and ASC best at loud noise levels for unilateral CI recipients. Therefore, multiple noise programs or a combination of processing options may be necessary to provide CI users with the best performance in a variety of listening situations. American Academy of Audiology.

Intelligent Processing Equipment Research Supported by the National Science Foundation

NASA Technical Reports Server (NTRS)

Rao, Suren B.

1992-01-01

The research in progress on processes, workstations, and systems has the goal of developing a high level of understanding of the issues involved. This will enable the incorporation of a level of intelligence that will allow the creation of autonomous manufacturing systems that operate in an optimum manner, under a wide range of conditions. The emphasis of the research has been on the development of highly productive and flexible techniques to address current and future problems in manufacturing and processing. Several of these projects have resulted in well-defined and established models that can now be implemented in the application arena in the next few years.

Stigma, status, and population health

PubMed Central

Phelan, Jo C.; Lucas, Jeffrey W.; Ridgeway, Cecilia L.; Taylor, Catherine J.

2014-01-01

Stigma and status are the major concepts in two important sociological traditions that describe related processes but that have developed in isolation. Although both approaches have great promise for understanding and improving population health, this promise has not been realized. In this paper, we consider the applicability of status characteristics theory (SCT) to the problem of stigma with the goal of better understanding social systemic aspects of stigma and their health consequences. To this end, we identify common and divergent features of status and stigma processes. In both, labels that are differentially valued produce unequal outcomes in resources via culturally shared expectations associated with the labels; macro-level inequalities are enacted in micro-level interactions, which in turn reinforce macro-level inequalities; and status is a key variable. Status and stigma processes also differ: Higher- and lower-status states (e.g., male and female) are both considered normal, whereas stigmatized characteristics (e.g., mental illness) are not; interactions between status groups are guided by “social ordering schemas” that provide mutually agreed-upon hierarchies and interaction patterns (e.g., men assert themselves while women defer), whereas interactions between “normals” and stigmatized individuals are not so guided and consequently involve uncertainty and strain; and social rejection is key to stigma but not status processes. Our juxtaposition of status and stigma processes reveals close parallels between stigmatization and status processes that contribute to systematic stratification by major social groupings, such as race, gender, and SES. These parallels make salient that stigma is not only an interpersonal or intrapersonal process but also a macro-level process and raise the possibility of considering stigma as a dimension of social stratification. As such, stigma’s impact on health should be scrutinized with the same intensity as that of other more status-based bases of stratification such as SES, race and gender, whose health impacts have been firmly established. PMID:24507907

Stigma, status, and population health.

PubMed

Phelan, Jo C; Lucas, Jeffrey W; Ridgeway, Cecilia L; Taylor, Catherine J

2014-02-01

Stigma and status are the major concepts in two important sociological traditions that describe related processes but that have developed in isolation. Although both approaches have great promise for understanding and improving population health, this promise has not been realized. In this paper, we consider the applicability of status characteristics theory (SCT) to the problem of stigma with the goal of better understanding social systemic aspects of stigma and their health consequences. To this end, we identify common and divergent features of status and stigma processes. In both, labels that are differentially valued produce unequal outcomes in resources via culturally shared expectations associated with the labels; macro-level inequalities are enacted in micro-level interactions, which in turn reinforce macro-level inequalities; and status is a key variable. Status and stigma processes also differ: Higher- and lower-status states (e.g., male and female) are both considered normal, whereas stigmatized characteristics (e.g., mental illness) are not; interactions between status groups are guided by "social ordering schemas" that provide mutually agreed-upon hierarchies and interaction patterns (e.g., men assert themselves while women defer), whereas interactions between "normals" and stigmatized individuals are not so guided and consequently involve uncertainty and strain; and social rejection is key to stigma but not status processes. Our juxtaposition of status and stigma processes reveals close parallels between stigmatization and status processes that contribute to systematic stratification by major social groupings, such as race, gender, and SES. These parallels make salient that stigma is not only an interpersonal or intrapersonal process but also a macro-level process and raise the possibility of considering stigma as a dimension of social stratification. As such, stigma's impact on health should be scrutinized with the same intensity as that of other more status-based bases of stratification such as SES, race and gender, whose health impacts have been firmly established. Copyright © 2013 Elsevier Ltd. All rights reserved.

Learner Characteristics and Understanding Nature of Science. Is There an Association?

NASA Astrophysics Data System (ADS)

Çetinkaya-Aydın, Gamze; Çakıroğlu, Jale

2017-11-01

The purpose of this study was to investigate the possible associations between preservice science teachers' understanding of nature of science and their learner characteristics; understanding of nature of scientific inquiry, science teaching self-efficacy beliefs, metacognitive awareness level, and faith/worldview schemas. The sample of the current study was 60 3rd-year preservice science teachers enrolled in the Nature of Science and History of Science course. Using a descriptive and associational case study design, data were collected by means of different qualitative and quantitative questionnaires. Analysis of the data revealed that preservice science teachers' understanding of nature of science and nature of scientific inquiry were highly associated. Similarly, science teaching self-efficacy beliefs, metacognitive awareness levels, and faith/worldviews of the preservice science teachers were found to be significantly associated with their understanding of nature of science. Thus, it can be concluded that there might be other factors interfering with the learning processes of nature of science.

The two time vectors of Nachträglichkeit in the development of ego organization: significance of the concept for the symbolization of nameless traumas and anxieties.

PubMed

Dahl, Gerhard

2010-08-01

The author describes Freud 's conception of Nachträglichkeit as an active process that bridges the gap between past affective vicissitudes and the cognitive present by way of meaning. Symbolization is thereby subsequently [nachträglich] conferred on early traumatic events, which thus become susceptible to omnipotent control. The two time vectors of Nachträglichkeit are discussed: the first is a causal process operating in the forward direction of time against the background of a factual reality, while the second is a backward movement that permits an understanding of unconscious scenes and phantasies taking place at primary-process level. This twofold temporal motion was observed and described by Freud early on. However, its significance often remained hidden prior to his study of Moses. It was mostly overlooked in English and French translations, thus giving rise to a one-sided understanding of the concept in the various psychoanalytic cultures, as either deferred action or après-coup. Freud 's Moses study addresses both temporal aspects of Nachträglichkeit, seeking not only to reconstruct a past event on a causal, deterministic basis, but also to understand the subjective truth of that event in the transference along the retrograde time line. The decisive criterion for the conceptual and clinical separation of the two time vectors is the development of ego organization and the capacity for symbolization. The two vectors should not be separated on the factual level, as both aspects of Nachträglichkeit are essential to the understanding of unconscious processes, combining as they do in a relationship of circular complementarity. © 2009 Institute of Psychoanalysis.

Paranoia Symptoms Moderate the Impact of Emotional Context Processing on Community Functioning of Individuals with Schizophrenia.

PubMed

Park, Kiho; Choi, Kee-Hong

2018-04-26

This study examined whether better emotional context processing is associated with better community functioning among persons with schizophrenia, and whether the relationship between the two variables is moderated by level of paranoid symptoms. The Brief Psychiatric Rating Scale-Expanded Version, Emotional Context Processing Scale, and Multnomah Community Ability Scale were administered to 39 community-dwelling participants with schizophrenia or schizoaffective disorder. Emotional context processing had a small-to-moderate association with community functioning. However, the association between emotional context processing and community functioning was moderated by level of paranoid symptoms. Emotional context processing in participants with mild paranoid symptoms was strongly associated with better community functioning, whereas emotional context processing in those with severe paranoid symptoms was not. Emotional context processing and the degree of paranoia should be considered in treatment plans designed to enhance the community functioning of individuals with schizophrenia to help them improve their understanding of social situations.

Mirroring and beyond: coupled dynamics as a generalized framework for modelling social interactions

PubMed Central

Hasson, Uri; Frith, Chris D.

2016-01-01

When people observe one another, behavioural alignment can be detected at many levels, from the physical to the mental. Likewise, when people process the same highly complex stimulus sequences, such as films and stories, alignment is detected in the elicited brain activity. In early sensory areas, shared neural patterns are coupled to the low-level properties of the stimulus (shape, motion, volume, etc.), while in high-order brain areas, shared neural patterns are coupled to high-levels aspects of the stimulus, such as meaning. Successful social interactions require such alignments (both behavioural and neural), as communication cannot occur without shared understanding. However, we need to go beyond simple, symmetric (mirror) alignment once we start interacting. Interactions are dynamic processes, which involve continuous mutual adaptation, development of complementary behaviour and division of labour such as leader–follower roles. Here, we argue that interacting individuals are dynamically coupled rather than simply aligned. This broader framework for understanding interactions can encompass both processes by which behaviour and brain activity mirror each other (neural alignment), and situations in which behaviour and brain activity in one participant are coupled (but not mirrored) to the dynamics in the other participant. To apply these more sophisticated accounts of social interactions to the study of the underlying neural processes we need to develop new experimental paradigms and novel methods of data analysis PMID:27069044

Working better together: new approaches for understanding the value and challenges of organizational partnerships.

PubMed

Riggs, Elisha; Block, Karen; Warr, Deborah; Gibbs, Lisa

2014-12-01

Inter-agency partnerships are critical for addressing the interrelated circumstances associated with the social and health determinants of health inequalities. However, there are many challenges in evaluating partnership processes and outcomes. We discuss a mixed methods study that explored partnership processes in an innovative program that aims to promote social and economic inclusion for young newly arrived refugees. A theoretically informed evaluation was designed and data collected in three ways: an organizational ethnographic approach; a partnership self-assessment tool and semi-structured interviews. Partnership assessments and interviews were collected at two points in time providing progressive process data. Analyses explore divergent levels of staff satisfaction with the partnership's operations, particularly between staff working in program development (strategic management) and program delivery (service provision) roles. Follow-up data collection indicated satisfaction with partnership processes had improved. The partnership did achieve its aim of increasing the level of cooperation between service providers to support young people from refugee backgrounds. This paper presents insights into how to evaluate inter-agency partnerships and reports both methodological and empirical findings. It provides an approach for a better understanding of the levels at which individuals operate within such partnerships, indicates areas where support and attention is needed. © The Author (2013). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Exposure Science and Its Applications for Effective Environmental Management

EPA Science Inventory

Exposure is the link between environmental pollution and human/ecosystem health. Exposure science entails understanding the scientific processes that affect source emissions, transport and fate, spatio-temporal variability in the ambient concentrations, levels of contaminants tha...

Understanding Greenland ice sheet hydrology using an integrated multi-scale approach

NASA Astrophysics Data System (ADS)

Rennermalm, A. K.; Moustafa, S. E.; Mioduszewski, J.; Chu, V. W.; Forster, R. R.; Hagedorn, B.; Harper, J. T.; Mote, T. L.; Robinson, D. A.; Shuman, C. A.; Smith, L. C.; Tedesco, M.

2013-03-01

Improved understanding of Greenland ice sheet hydrology is critically important for assessing its impact on current and future ice sheet dynamics and global sea level rise. This has motivated the collection and integration of in situ observations, model development, and remote sensing efforts to quantify meltwater production, as well as its phase changes, transport, and export. Particularly urgent is a better understanding of albedo feedbacks leading to enhanced surface melt, potential positive feedbacks between ice sheet hydrology and dynamics, and meltwater retention in firn. These processes are not isolated, but must be understood as part of a continuum of processes within an integrated system. This letter describes a systems approach to the study of Greenland ice sheet hydrology, emphasizing component interconnections and feedbacks, and highlighting research and observational needs.

Integrated, systems metabolic picture of acetone-butanol-ethanol fermentation by Clostridium acetobutylicum.

PubMed

Liao, Chen; Seo, Seung-Oh; Celik, Venhar; Liu, Huaiwei; Kong, Wentao; Wang, Yi; Blaschek, Hans; Jin, Yong-Su; Lu, Ting

2015-07-07

Microbial metabolism involves complex, system-level processes implemented via the orchestration of metabolic reactions, gene regulation, and environmental cues. One canonical example of such processes is acetone-butanol-ethanol (ABE) fermentation by Clostridium acetobutylicum, during which cells convert carbon sources to organic acids that are later reassimilated to produce solvents as a strategy for cellular survival. The complexity and systems nature of the process have been largely underappreciated, rendering challenges in understanding and optimizing solvent production. Here, we present a system-level computational framework for ABE fermentation that combines metabolic reactions, gene regulation, and environmental cues. We developed the framework by decomposing the entire system into three modules, building each module separately, and then assembling them back into an integrated system. During the model construction, a bottom-up approach was used to link molecular events at the single-cell level into the events at the population level. The integrated model was able to successfully reproduce ABE fermentations of the WT C. acetobutylicum (ATCC 824), as well as its mutants, using data obtained from our own experiments and from literature. Furthermore, the model confers successful predictions of the fermentations with various network perturbations across metabolic, genetic, and environmental aspects. From foundation to applications, the framework advances our understanding of complex clostridial metabolism and physiology and also facilitates the development of systems engineering strategies for the production of advanced biofuels.

Integrated, systems metabolic picture of acetone-butanol-ethanol fermentation by Clostridium acetobutylicum

PubMed Central

Liao, Chen; Seo, Seung-Oh; Celik, Venhar; Liu, Huaiwei; Kong, Wentao; Wang, Yi; Blaschek, Hans; Jin, Yong-Su; Lu, Ting

2015-01-01

Microbial metabolism involves complex, system-level processes implemented via the orchestration of metabolic reactions, gene regulation, and environmental cues. One canonical example of such processes is acetone-butanol-ethanol (ABE) fermentation by Clostridium acetobutylicum, during which cells convert carbon sources to organic acids that are later reassimilated to produce solvents as a strategy for cellular survival. The complexity and systems nature of the process have been largely underappreciated, rendering challenges in understanding and optimizing solvent production. Here, we present a system-level computational framework for ABE fermentation that combines metabolic reactions, gene regulation, and environmental cues. We developed the framework by decomposing the entire system into three modules, building each module separately, and then assembling them back into an integrated system. During the model construction, a bottom-up approach was used to link molecular events at the single-cell level into the events at the population level. The integrated model was able to successfully reproduce ABE fermentations of the WT C. acetobutylicum (ATCC 824), as well as its mutants, using data obtained from our own experiments and from literature. Furthermore, the model confers successful predictions of the fermentations with various network perturbations across metabolic, genetic, and environmental aspects. From foundation to applications, the framework advances our understanding of complex clostridial metabolism and physiology and also facilitates the development of systems engineering strategies for the production of advanced biofuels. PMID:26100881

Why should the faculty adopt reciprocal teaching as part of the medical curriculum?

PubMed

Khan, Muhammad Jaffar; Fatima, Sadia; Akhtar, Mehnaz; Owais, Muhammad

2016-01-01

Understanding the text is crucial to achieve depth in understanding of complex concepts for students at all levels of education for whom English is not their first language. Reciprocal teaching is an instructional activity that stimulate learning through a dialogue between teachers and students regarding segments of text. The process of summarizing, question-generating, clarifying and predicting allows the gaps to be recognised and filled by the student, who is in control of the learning process and able to analyse and reflect upon the reading material. Whereas reciprocal teaching has been applied at school and college level, little is known about its effectiveness in medical education. Incorporating reciprocal teaching in early years of medical education such as reading the literature and summarizing the flow of information in the study of integrated body systems could be an area to explore. Feasibility exercises and systematic validation studies are required to confirm authors' assertion.

Computer-Aided TRIZ Ideality and Level of Invention Estimation Using Natural Language Processing and Machine Learning

NASA Astrophysics Data System (ADS)

Adams, Christopher; Tate, Derrick

Patent textual descriptions provide a wealth of information that can be used to understand the underlying design approaches that result in the generation of novel and innovative technology. This article will discuss a new approach for estimating Degree of Ideality and Level of Invention metrics from the theory of inventive problem solving (TRIZ) using patent textual information. Patent text includes information that can be used to model both the functions performed by a design and the associated costs and problems that affect a design’s value. The motivation of this research is to use patent data with calculation of TRIZ metrics to help designers understand which combinations of system components and functions result in creative and innovative design solutions. This article will discuss in detail methods to estimate these TRIZ metrics using natural language processing and machine learning with the use of neural networks.

Do I Know What I'm Doing? Cognitive Dissonance and Action Identification Theory.

PubMed

Fointiat, Valérie; Pelt, Audrey

2015-11-27

Our main purpose was to explore hypotheses derived from the Identification of Action Theory in a particular situation that is, a dissonant situation. Thus, we varied the identification (low versus high-level) of a problematic behavior (to stop speaking for 24 hours) in the forced compliance paradigm. Two modes of dissonance reduction were presented: cognitive rationalization (classical attitude-change) and behavioral rationalization (target behavior: to stop speaking for 48 hours). As predicted, the results showed that high-level identity of action leads to cognitive rationalization whereas low-level identity leads to behavioural rationalization. Thus, participants identifying the problematic behavior at a low-level were more inclined to accept the target behavior, compared with participants identifying their problematic behavior at a higher-level. These results are of particular interest for understanding the extent to which the understanding of the discrepant act interferes with the cognitive processes of dissonance reduction.

Variability and change of sea level and its components in the Indo-Pacific region during the altimetry era

NASA Astrophysics Data System (ADS)

Wu, Quran; Zhang, Xuebin; Church, John A.; Hu, Jianyu

2017-03-01

Previous studies have shown that regional sea level exhibits interannual and decadal variations associated with the modes of climate variability. A better understanding of those low-frequency sea level variations benefits the detection and attribution of climate change signals. Nonetheless, the contributions of thermosteric, halosteric, and mass sea level components to sea level variability and trend patterns remain unclear. By focusing on signals associated with dominant climate modes in the Indo-Pacific region, we estimate the interannual and decadal fingerprints and trend of each sea level component utilizing a multivariate linear regression of two adjoint-based ocean reanalyses. Sea level interannual, decadal, and trend patterns primarily come from thermosteric sea level (TSSL). Halosteric sea level (HSSL) is of regional importance in the Pacific Ocean on decadal time scale and dominates sea level trends in the northeast subtropical Pacific. The compensation between TSSL and HSSL is identified in their decadal variability and trends. The interannual and decadal variability of temperature generally peak at subsurface around 100 m but that of salinity tend to be surface-intensified. Decadal temperature and salinity signals extend deeper into the ocean in some regions than their interannual equivalents. Mass sea level (MassSL) is critical for the interannual and decadal variability of sea level over shelf seas. Inconsistencies exist in MassSL trend patterns among various estimates. This study highlights regions where multiple processes work together to control sea level variability and change. Further work is required to better understand the interaction of different processes in those regions.

Transport and Mixing in the Stratosphere and Troposphere

NASA Technical Reports Server (NTRS)

Bowman, Kenneth P.

2000-01-01

Long-term changes in the composition of the atmosphere are known to have significant effects on atmospheric chemistry and stratospheric ozone. Increasing levels of greenhouse gases have the potential to change the global climate in the middle and upper atmospheres, as well as in the troposphere. Volcanic eruptions, El Nino events, and other natural variations can also cause changes in atmospheric composition and climate. Whether the causes are natural or manmade, changes in the global climate system can have impacts on human society. In order to understand and predict the consequences of these changes, and of control measures such as the Montreal Protocol, it is necessary to understand the complex interactions between radiation, chemistry, and dynamics in the atmosphere. Much of the uncertainty in our understanding of atmospheric processes comes from an incomplete understanding of atmospheric transport. A complete and self-consistent model of transport requires not only an understanding of trace-species transport, but also the transport of dynamically active quantities such as heat and potential vorticity. Therefore, the goal of the proposed research is to better understand large-scale transport and mixing processes in the middle atmosphere and troposphere.

Disseminating results to clinical trial participants: a qualitative review of patient understanding in a post-trial population.

PubMed

Darbyshire, Julie Lorraine; Price, Hermione Clare

2012-01-01

To identify the most appropriate format for results dissemination to maximise understanding of trial results. Qualitative. Of the original 58 4-T trial centres, 34 agreed to take part in this ancillary research. All participants from these centres were eligible. All 343 participants were sent questionnaires. The low response rate meant that we were unable to make any firm conclusions about the patients' preferred method of dissemination; however, we were able to comment on the level of understanding demonstrated by the trial participants. All 40 (12%) returned questionnaires were received from 15 centres. We received no questionnaires from over half of the centres. The questionnaires which were returned demonstrated broad satisfaction with the results letter, general enthusiasm for the trial and a variable level of understanding of the results; however, there was a high proportion of responders who were not clear on why the research was undertaken or what the results meant. The low response rate may be related to delays during the trial set-up process suggesting that interest in a study quickly wanes for both patients and centres. From this we deduce that rapid dissemination of results is needed if it is to have any impact at all. The responders are likely to reflect a biased cohort who were both enthusiastic about the research and who had a good experience during their 3 years in the 4-T trial. It is perhaps not surprising therefore that the overview is positive. That this population was still not fully informed about the purpose of the research would seem to confirm a low level of understanding among the general public which we suggest should be addressed during the consent process.

Active vision and image/video understanding with decision structures based on the network-symbolic models

NASA Astrophysics Data System (ADS)

Kuvich, Gary

2003-08-01

Vision is a part of a larger information system that converts visual information into knowledge structures. These structures drive vision process, resolve ambiguity and uncertainty via feedback projections, and provide image understanding that is an interpretation of visual information in terms of such knowledge models. The ability of human brain to emulate knowledge structures in the form of networks-symbolic models is found. And that means an important shift of paradigm in our knowledge about brain from neural networks to "cortical software". Symbols, predicates and grammars naturally emerge in such active multilevel hierarchical networks, and logic is simply a way of restructuring such models. Brain analyzes an image as a graph-type decision structure created via multilevel hierarchical compression of visual information. Mid-level vision processes like clustering, perceptual grouping, separation of figure from ground, are special kinds of graph/network transformations. They convert low-level image structure into the set of more abstract ones, which represent objects and visual scene, making them easy for analysis by higher-level knowledge structures. Higher-level vision phenomena are results of such analysis. Composition of network-symbolic models works similar to frames and agents, combines learning, classification, analogy together with higher-level model-based reasoning into a single framework. Such models do not require supercomputers. Based on such principles, and using methods of Computational intelligence, an Image Understanding system can convert images into the network-symbolic knowledge models, and effectively resolve uncertainty and ambiguity, providing unifying representation for perception and cognition. That allows creating new intelligent computer vision systems for robotic and defense industries.

GPS Imaging of Global Vertical Land Motion for Sea Level Studies

NASA Astrophysics Data System (ADS)

Hammond, W. C.; Blewitt, G.; Hamlington, B. D.

2015-12-01

Coastal vertical land motion contributes to the signal of local relative sea level change. Moreover, understanding global sea level change requires understanding local sea level rise at many locations around Earth. It is therefore essential to understand the regional secular vertical land motion attributable to mantle flow, tectonic deformation, glacial isostatic adjustment, postseismic viscoelastic relaxation, groundwater basin subsidence, elastic rebound from groundwater unloading or other processes that can change the geocentric height of tide gauges anchored to the land. These changes can affect inferences of global sea level rise and should be taken into account for global projections. We present new results of GPS imaging of vertical land motion across most of Earth's continents including its ice-free coastlines around North and South America, Europe, Australia, Japan, parts of Africa and Indonesia. These images are based on data from many independent open access globally distributed continuously recording GPS networks including over 13,500 stations. The data are processed in our system to obtain solutions aligned to the International Terrestrial Reference Frame (ITRF08). To generate images of vertical rate we apply the Median Interannual Difference Adjusted for Skewness (MIDAS) algorithm to the vertical times series to obtain robust non-parametric estimates with realistic uncertainties. We estimate the vertical land motion at the location of 1420 tide gauges locations using Delaunay-based geographic interpolation with an empirically derived distance weighting function and median spatial filtering. The resulting image is insensitive to outliers and steps in the GPS time series, omits short wavelength features attributable to unstable stations or unrepresentative rates, and emphasizes long-wavelength mantle-driven vertical rates.

Nonlinear Growth Curves in Developmental Research

PubMed Central

Grimm, Kevin J.; Ram, Nilam; Hamagami, Fumiaki

2011-01-01

Developmentalists are often interested in understanding change processes and growth models are the most common analytic tool for examining such processes. Nonlinear growth curves are especially valuable to developmentalists because the defining characteristics of the growth process such as initial levels, rates of change during growth spurts, and asymptotic levels can be estimated. A variety of growth models are described beginning with the linear growth model and moving to nonlinear models of varying complexity. A detailed discussion of nonlinear models is provided, highlighting the added insights into complex developmental processes associated with their use. A collection of growth models are fit to repeated measures of height from participants of the Berkeley Growth and Guidance Studies from early childhood through adulthood. PMID:21824131

Inference or Enaction? The Impact of Genre on the Narrative Processing of Other Minds

PubMed Central

Carney, James; Wlodarski, Rafael; Dunbar, Robin

2014-01-01

Do narratives shape how humans process other minds or do they presuppose an existing theory of mind? This study experimentally investigated this problem by assessing subject responses to systematic alterations in the genre, levels of intentionality, and linguistic complexity of narratives. It showed that the interaction of genre and intentionality level are crucial in determining how narratives are cognitively processed. Specifically, genres that deployed evolutionarily familiar scenarios (relationship stories) were rated as being higher in quality when levels of intentionality were increased; conversely, stories that lacked evolutionary familiarity (espionage stories) were rated as being lower in quality with increases in intentionality level. Overall, the study showed that narrative is not solely either the origin or the product of our intuitions about other minds; instead, different genres will have different—even opposite—effects on how we understand the mind states of others. PMID:25470279

Inference or enaction? The impact of genre on the narrative processing of other minds.

PubMed

Carney, James; Wlodarski, Rafael; Dunbar, Robin

2014-01-01

Do narratives shape how humans process other minds or do they presuppose an existing theory of mind? This study experimentally investigated this problem by assessing subject responses to systematic alterations in the genre, levels of intentionality, and linguistic complexity of narratives. It showed that the interaction of genre and intentionality level are crucial in determining how narratives are cognitively processed. Specifically, genres that deployed evolutionarily familiar scenarios (relationship stories) were rated as being higher in quality when levels of intentionality were increased; conversely, stories that lacked evolutionary familiarity (espionage stories) were rated as being lower in quality with increases in intentionality level. Overall, the study showed that narrative is not solely either the origin or the product of our intuitions about other minds; instead, different genres will have different-even opposite-effects on how we understand the mind states of others.

Evaluation of marsh development processes at Fire Island National Seashore: Recent and historic perspectives

USGS Publications Warehouse

Roman, C.T.; King, D.R.; Cahoon, D.R.; Lynch, J.C.; Appleby, P.G.

2007-01-01

Purpose and significance of the study: Salt marshes are dynamic environments, increasing in vertical elevation and migrating, often landward, as sea level rises. With sea level rise greater than marsh elevation increase, marshes can be submerged, marsh soils become waterlogged, and plant growth becomes stressed, often resulting in conversion of vegetation-dominated marsh to mudflat or open water habitat. Given that the rate of sea level rise is expected to accelerate over the next century and that some marshes in the northeast are becoming submerged (e.g., Jamaica Bay, NY), it is important to understand the processes that control marsh development. More specifically, the objectives of this project were to quantify vertical marsh elevation change in relation to recent rates of sea-level rise and to investigate factors or processes that are most influential in controlling the development and maintenance of Fire Island salt marshes.

CLIMLAB: a Python-based software toolkit for interactive, process-oriented climate modeling

NASA Astrophysics Data System (ADS)

Rose, B. E. J.

2015-12-01

Global climate is a complex emergent property of the rich interactions between simpler components of the climate system. We build scientific understanding of this system by breaking it down into component process models (e.g. radiation, large-scale dynamics, boundary layer turbulence), understanding each components, and putting them back together. Hands-on experience and freedom to tinker with climate models (whether simple or complex) is invaluable for building physical understanding. CLIMLAB is an open-ended software engine for interactive, process-oriented climate modeling. With CLIMLAB you can interactively mix and match model components, or combine simpler process models together into a more comprehensive model. It was created primarily to support classroom activities, using hands-on modeling to teach fundamentals of climate science at both undergraduate and graduate levels. CLIMLAB is written in Python and ties in with the rich ecosystem of open-source scientific Python tools for numerics and graphics. The IPython notebook format provides an elegant medium for distributing interactive example code. I will give an overview of the current capabilities of CLIMLAB, the curriculum we have developed thus far, and plans for the future. Using CLIMLAB requires some basic Python coding skills. We consider this an educational asset, as we are targeting upper-level undergraduates and Python is an increasingly important language in STEM fields. However CLIMLAB is well suited to be deployed as a computational back-end for a graphical gaming environment based on earth-system modeling.

Soil CO2 dynamics and fluxes as affected by tree harvest in an experimental sand ecosystem.

Treesearch

C.K. Keller; T.M. White; R. O' Brien; J.L. Smith

2006-01-01

Soil CO2 production is a key process in ecosystem C exchange, and global change predictions require understanding of how ecosystem disturbance affects this process. We monitored CO2 levels in soil gas and as bicarbonate in drainage from an experimental red pine ecosystem, for 1 year before and 3 years after its aboveground...

Balancing Broad Ideas with Context: An Evaluation of Student Accuracy in Describing Ecosystem Processes after a System-Level Intervention

ERIC Educational Resources Information Center

Jordan, Rebecca C.; Brooks, Wesley R.; Hmelo-Silver, Cindy; Eberbach, Catherine; Sinha, Suparna

2014-01-01

Promoting student understanding of ecosystem processes is critical to biological education. Yet, teaching complex life systems can be difficult because systems are dynamic and often behave in a non-linear manner. In this paper, we discuss assessment results from a middle school classroom intervention in which a conceptual representation framework…

The Evolution of the MasAgro Hubs: Responsiveness and Serendipity as Drivers of Agricultural Innovation in a Dynamic and Heterogeneous Context

ERIC Educational Resources Information Center

Camacho-Villa, Tania Carolina; Almekinders, Conny; Hellin, Jon; Martinez-Cruz, Tania Eulalia; Rendon-Medel, Roberto; Guevara-Hernández, Francisco; Beuchelt, Tina D.; Govaerts, Bram

2016-01-01

Purpose: Little is known about effective ways to operationalize agricultural innovation processes. We use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level "hub managers", to understand how innovation processes occur in heterogeneous…

Developmental Family Processes and Interparental Conflict: Patterns of Micro-level Influences

PubMed Central

Schermerhorn, Alice C.; Chow, Sy-Miin; Cummings, E. Mark

2010-01-01

Although frequent calls are made for the study of effects of children on families and mutual influence processes within families, little empirical progress has been made. We address these questions at the level of micro processes during marital conflict, including children’s influence on marital conflict and parents’ influence on each other. Participants were 111 cohabiting couples with a child (55 males, 56 females) aged 8 – 16 years. Data were drawn from parents’ diary reports of interparental conflict over 15 days, analyzed using dynamic systems modeling tools. Child emotions and behavior during conflicts were associated with interparental positivity, negativity, and resolution at the end of the same conflicts. For example, children’s agentic behavior was associated with more marital conflict resolution whereas child negativity was linked with more marital negativity. Regarding parents’ influence on each other, among the findings, husbands’ and wives’ influence on themselves from one conflict to the next was indicated, and total number of conflicts predicted greater influence of wives’ positivity on husbands’ positivity. Contributions of these findings to the understanding of developmental family processes are discussed, including implications for advanced understanding of interrelations between child and adult functioning and development. PMID:20604608

Understanding product cost vs. performance through an in-depth system Monte Carlo analysis

NASA Astrophysics Data System (ADS)

Sanson, Mark C.

2017-08-01

The manner in which an optical system is toleranced and compensated greatly affects the cost to build it. By having a detailed understanding of different tolerance and compensation methods, the end user can decide on the balance of cost and performance. A detailed phased approach Monte Carlo analysis can be used to demonstrate the tradeoffs between cost and performance. In complex high performance optical systems, performance is fine-tuned by making adjustments to the optical systems after they are initially built. This process enables the overall best system performance, without the need for fabricating components to stringent tolerance levels that often can be outside of a fabricator's manufacturing capabilities. A good performance simulation of as built performance can interrogate different steps of the fabrication and build process. Such a simulation may aid the evaluation of whether the measured parameters are within the acceptable range of system performance at that stage of the build process. Finding errors before an optical system progresses further into the build process saves both time and money. Having the appropriate tolerances and compensation strategy tied to a specific performance level will optimize the overall product cost.

Archiving, processing, and disseminating ASTER products at the USGS EROS Data Center

USGS Publications Warehouse

Jones, B.; Tolk, B.; ,

2002-01-01

The U.S. Geological Survey EROS Data Center archives, processes, and disseminates Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data products. The ASTER instrument is one of five sensors onboard the Earth Observing System's Terra satellite launched December 18, 1999. ASTER collects broad spectral coverage with high spatial resolution at near infrared, shortwave infrared, and thermal infrared wavelengths with ground resolutions of 15, 30, and 90 meters, respectively. The ASTER data are used in many ways to understand local and regional earth-surface processes. Applications include land-surface climatology, volcanology, hazards monitoring, geology, agronomy, land cover change, and hydrology. The ASTER data are available for purchase from the ASTER Ground Data System in Japan and from the Land Processes Distributed Active Archive Center in the United States, which receives level 1A and level 1B data from Japan on a routine basis. These products are archived and made available to the public within 48 hours of receipt. The level 1A and level 1B data are used to generate higher level products that include routine and on-demand decorrelation stretch, brightness temperature at the sensor, emissivity, surface reflectance, surface kinetic temperature, surface radiance, polar surface and cloud classification, and digital elevation models. This paper describes the processes and procedures used to archive, process, and disseminate standard and on-demand higher level ASTER products at the Land Processes Distributed Active Archive Center.

Technology Integration in Education: An Examination of Technology Adoption in Teaching and Learning by Secondary Teachers in Minnesota

ERIC Educational Resources Information Center

Cherry, Jennifer E.

2014-01-01

The purpose of this study was to explore possible causal factors for level of teachers' adoption of technology in teaching and learning. Furthering the understanding of the factors related to teachers' technology adoption may facilitate increased levels of technology integration in the teaching and learning process. Based on previous research and…

Student Conceptions about the DNA Structure within a Hierarchical Organizational Level: Improvement by Experiment- and Computer-Based Outreach Learning

ERIC Educational Resources Information Center

Langheinrich, Jessica; Bogner, Franz X.

2015-01-01

As non-scientific conceptions interfere with learning processes, teachers need both, to know about them and to address them in their classrooms. For our study, based on 182 eleventh graders, we analyzed the level of conceptual understanding by implementing the "draw and write" technique during a computer-supported gene technology module.…

Windstorm damage in Boundary Waters Canoe Area Wilderness (Minnesota, USA): Evaluating landscape-level risk factors

Treesearch

W. Keith Moser; Mark D. Nelson

2009-01-01

Ecosystem management requires an understanding of disturbance processes and their influence on forests. One of these disturbances is damage due to severe wind events. In an ideal model, assessing risk of windstorm damage to a forested ecosystem entails defining tree-, stand-, and landscape-level factors that influence response and recovery. Data are not always...

The Politics of School-Based Management: Understanding the Process of Devolving Authority in Urban School Districts.

ERIC Educational Resources Information Center

Walker, Elaine M.

2002-01-01

Studied the implementation of school-based management in 30 of the poorest school districts in New Jersey (the Abbott districts). Findings show that genuine autonomy has been usurped by increased state power and authority, and that state elites allow little opportunity for capacity building at the district level. The level of democratization has…

Assessing Threat Detection Scenarios through Hypothesis Generation and Testing

DTIC Science & Technology

2015-12-01

experience as they evaluated scenarios with varying levels of uncertainty. This research focused on understanding the interaction of experience and...details more often than irrelevant details. Those findings provide insight into the cognitive processes Soldiers with varying levels of experience ...like to thank the Soldiers and leaders who participated in this research , especially for providing their time and for sharing their experiences

Context, Participation and Discourse: The Role of the Communities of Practice Concept in Understanding Farmer Decision-Making

ERIC Educational Resources Information Center

O'Kane, M. P.; Paine, M. S.; King, B. J.

2008-01-01

This article contributes to the study of decision-making processes both at a farm systems level and at the level of agricultural research in partnership with commercial farms. It also highlights the way in which adoption and adaptation of innovation occurs in a socially rich context with information, group formation and connectivity converging to…

A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems

ERIC Educational Resources Information Center

Liu, Ran; Stamper, John; Davenport, Jodi

2018-01-01

Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…

Neural Bases of Theory of Mind in Children with Autism Spectrum Disorders and Children with Conduct Problems and Callous-Unemotional Traits

ERIC Educational Resources Information Center

O'Nions, Elizabeth; Sebastian, Catherine L.; McCrory, Eamon; Chantiluke, Kaylita; Happé, Francesca; Viding, Essi

2014-01-01

Individuals with autism spectrum disorders (ASD) have difficulty understanding other minds (Theory of Mind; ToM), with atypical processing evident at both behavioural and neural levels. Individuals with conduct problems and high levels of callous-unemotional (CU) traits (CP/HCU) exhibit reduced responsiveness to others' emotions and difficulties…

Scaling environmental change through the community level: a trait-based response-and-effect framework for plants

Treesearch

Katharine N. Suding; Sandra Lavorel; F. Stuart Chapin; Johannes H.C. Cornelissen; Sandra Diaz; Eric Garnier; Deborah Goldberg; David U. Hooper; Stephen T. Jackson; Marie-Laure Navas

2008-01-01

Predicting ecosystem responses to global change is a major challenge in ecology. A critical step in that challenge is to understand how changing environmental conditions influence processes across levels of ecological organization. While direct scaling from individual to ecosystem dynamics can lead to robust and mechanistic predictions, new approaches are needed to...

Real-time high-level video understanding using data warehouse

NASA Astrophysics Data System (ADS)

Lienard, Bruno; Desurmont, Xavier; Barrie, Bertrand; Delaigle, Jean-Francois

2006-02-01

High-level Video content analysis such as video-surveillance is often limited by computational aspects of automatic image understanding, i.e. it requires huge computing resources for reasoning processes like categorization and huge amount of data to represent knowledge of objects, scenarios and other models. This article explains how to design and develop a "near real-time adaptive image datamart", used, as a decisional support system for vision algorithms, and then as a mass storage system. Using RDF specification as storing format of vision algorithms meta-data, we can optimise the data warehouse concepts for video analysis, add some processes able to adapt the current model and pre-process data to speed-up queries. In this way, when new data is sent from a sensor to the data warehouse for long term storage, using remote procedure call embedded in object-oriented interfaces to simplified queries, they are processed and in memory data-model is updated. After some processing, possible interpretations of this data can be returned back to the sensor. To demonstrate this new approach, we will present typical scenarios applied to this architecture such as people tracking and events detection in a multi-camera network. Finally we will show how this system becomes a high-semantic data container for external data-mining.

Information Flow in the Launch Vehicle Design/Analysis Process

NASA Technical Reports Server (NTRS)

Humphries, W. R., Sr.; Holland, W.; Bishop, R.

1999-01-01

This paper describes the results of a team effort aimed at defining the information flow between disciplines at the Marshall Space Flight Center (MSFC) engaged in the design of space launch vehicles. The information flow is modeled at a first level and is described using three types of templates: an N x N diagram, discipline flow diagrams, and discipline task descriptions. It is intended to provide engineers with an understanding of the connections between what they do and where it fits in the overall design process of the project. It is also intended to provide design managers with a better understanding of information flow in the launch vehicle design cycle.

How can the study of physiological reactivity contribute to our understanding of adversity and resilience processes in development?

PubMed

Obradović, Jelena

2012-05-01

The focus of this article is to present current progress in understanding the interplay among adversity, physiological sensitivity to context, and adaptive functioning, with an emphasis on implications and future directions for resilience researchers. It includes a review of current literature that demonstrates (a) links between various levels of adversity exposure and variability in physiological reactivity, (b) how the interplay between children's physiological reactivity and different sources of risk and adversity relates to variability in adaptive functioning, and (c) various approaches for capturing a more dynamic nature of physiological reactivity and related processes. Throughout, important conceptual and empirical issues are highlighted.

Development of an ecohydrological salt marsh model

EPA Science Inventory

Terrestrial nitrogen input to coastal waters is a critical water quality problem nationwide. Even in systems well described experimentally, a clear understanding of process-level hydrological and biogeochemical controls can be difficult to ascertain from data alone. For examp...

Balancing Chemical Equations.

ERIC Educational Resources Information Center

Savoy, L. G.

1988-01-01

Describes a study of students' ability to balance equations. Answers to a test on this topic were analyzed to determine the level of understanding and processes used by the students. Presented is a method to teach this skill to high school chemistry students. (CW)

Earth materials research: Report of a Workshop on Physics and Chemistry of Earth Materials

NASA Technical Reports Server (NTRS)

1987-01-01

The report concludes that an enhanced effort of earth materials research is necessary to advance the understanding of the processes that shape the planet. In support of such an effort, there are new classes of experiments, new levels of analytical sensitivity and precision, and new levels of theory that are now applicable in understanding the physical and chemical properties of geological materials. The application of these capabilities involves the need to upgrade and make greater use of existing facilities as well as the development of new techniques. A concomitant need is for a sample program involving their collection, synthesis, distribution, and analysis.

Basic Gravitational Reflexes in the Larval Frog

NASA Technical Reports Server (NTRS)

Cochran, Stephen L.

1996-01-01

This investigation was designed to determine how a primitive vertebrate, the bullfrog tadpole, is able to sense and process gravitational stimuli. Because of the phylogenetic similarities of the vestibular systems in all vertebrates, the understanding of the gravitational reflexes in this relatively simple vertebrate should elucidate a skeletal framework on a elementary level, upon which the more elaborate reflexes of higher vertebrates may be constructed. The purpose of this study was to understand how the nervous system of the larval amphibian processes gravitational information. This study involved predominantly electrophysiological investigations of the isolated, alert (forebrain removed) bullfrog tadpole head. The focus of these experiments is threefold: (1) to understand from whole extraocular nerve recordings the signals sent to the eye following static gravitational tilt of the head; (2) to localize neuronal centers responsible for generating these signals through reversible pharmacological ablation of these centers; and (3) to record intracellularly from neurons within these centers in order to determine the single neuron's role in the overall processing of the center. This study has provided information on the mechanisms by which a primitive vertebrate processes gravitational reflexes.

An investigation of Taiwanese graduate students' level of civic scientific literacy

NASA Astrophysics Data System (ADS)

Lee, Yu-Mei

2003-07-01

Professionals in a variety of disciplines have stressed the importance of advancing the scientific literacy of all citizens in a democratic and science- and technology-based society. Taiwan has been striving hard to advance its democracy and heavily relies on a knowledge-based economy. The high rank Taiwan receives in international comparisons demonstrates Taiwan's high achievement in science at the middle school level. However, no empirical evidence has been collected to examine whether this high achievement at the middle school level promises a high level of scientific literacy in adults. This study investigated the level of scientific literacy of Taiwanese graduate students using Miller's framework of three dimensions of civic scientific literacy, including: (1) a vocabulary of basic scientific constructs, (2) an understanding of the process of scientific inquiry, and (3) some level of understanding of the impact of science and technology on individuals and on society. A web-based questionnaire was employed to survey Taiwanese graduate students studying in three different types of graduate schools and eleven academic fields. A total of 525 responses were collected. In addition, following the survey, eight participants were purposefully selected for individual interviews in order to obtain additional information on participants' scientific literacy. Descriptive statistical analyses were computed to summarize the participants' overall responses to each of the survey sections. Regression models using dummy coding of categorical variables (i.e., gender, school type, and academic areas) were performed to examine whether significant differences exist among different groups. The major findings suggest that: (1) Taiwanese graduate students' civic scientific literacy is not at a satisfactory level; (2) the participants carry mixed attitudes toward science and technology, (3) Taiwanese graduate students are not very attentive to new information of science and technology; (4) all three categorical variables had an impact on the participants' understanding of basic scientific constructs, while only school type had an effect on the participants' understanding of the scientific inquiry process; and (5) the interview results did not support the survey results. The researcher suggests that further studies are required to determine the reasons behind these findings.

Uncovering molecular processes in crystal nucleation and growth by using molecular simulation.

PubMed

Anwar, Jamshed; Zahn, Dirk

2011-02-25

Exploring nucleation processes by molecular simulation provides a mechanistic understanding at the atomic level and also enables kinetic and thermodynamic quantities to be estimated. However, whilst the potential for modeling crystal nucleation and growth processes is immense, there are specific technical challenges to modeling. In general, rare events, such as nucleation cannot be simulated using a direct "brute force" molecular dynamics approach. The limited time and length scales that are accessible by conventional molecular dynamics simulations have inspired a number of advances to tackle problems that were considered outside the scope of molecular simulation. While general insights and features could be explored from efficient generic models, new methods paved the way to realistic crystal nucleation scenarios. The association of single ions in solvent environments, the mechanisms of motif formation, ripening reactions, and the self-organization of nanocrystals can now be investigated at the molecular level. The analysis of interactions with growth-controlling additives gives a new understanding of functionalized nanocrystals and the precipitation of composite materials. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Public health literacy defined.

PubMed

Freedman, Darcy A; Bess, Kimberly D; Tucker, Holly A; Boyd, David L; Tuchman, Arleen M; Wallston, Kenneth A

2009-05-01

Public health literacy is an emerging concept necessary to understand and address the broad array of factors, such as climate change, globalization, and poverty, that influence the public's health. Whereas health literacy has traditionally been operationalized as an individual-level construct, public health literacy takes into account the complex social, ecologic, and systemic forces affecting health and well-being. However, public health literacy has not yet been fully articulated. This paper addresses this gap by outlining a broad, new definition of public health literacy. This definition was developed through an inductive analytic process conducted in 2007 by a multidisciplinary research team, and two expert-panel sessions were convened to assess the consensual validity of the emergent definition. Based on this process, public health literacy is defined as the degree to which individuals and groups can obtain, process, understand, evaluate, and act on information needed to make public health decisions that benefit the community. Three dimensions of public health literacy--conceptual foundations, critical skills, and civic orientation--and related competencies are also proposed. Public health literacy is distinct from individual-level health literacy, and together, the two types of literacy form a more comprehensive model of health literacy. A five-part agenda is offered for future research and action aimed at increasing levels of public health literacy.

What Causes Care Coordination Problems? A Case for Microanalysis

PubMed Central

Zachary, Wayne; Maulitz, Russell Charles; Zachary, Drew A.

2016-01-01

Introduction: Care coordination (CC) is an important fulcrum for pursuing a range of health care goals. Current research and policy analyses have focused on aggregated data rather than on understanding what happens within individual cases. At the case level, CC emerges as a complex network of communications among providers over time, crossing and recrossing many organizational boundaries. Micro-level analysis is needed to understand where and how CC fails, as well as to identify best practices and root causes of problems. Coordination Process Diagramming: Coordination Process Diagramming (CPD) is a new framework for representing and analyzing CC arcs at the micro level, separating an arc into its participants and roles, communication structure, organizational structures, and transitions of care, all on a common time line. Conclusion: Comparative CPD analysis across a sample of CC arcs identifies common CC problems and potential root causes, showing the potential value of the framework. The analyses also suggest intervention strategies that could be applied to attack the root causes of CC problems, including organizational changes, education and training, and additional health information technology development. PMID:27563685

Clustered multistate models with observation level random effects, mover-stayer effects and dynamic covariates: modelling transition intensities and sojourn times in a study of psoriatic arthritis.

PubMed

Yiu, Sean; Farewell, Vernon T; Tom, Brian D M

2018-02-01

In psoriatic arthritis, it is important to understand the joint activity (represented by swelling and pain) and damage processes because both are related to severe physical disability. The paper aims to provide a comprehensive investigation into both processes occurring over time, in particular their relationship, by specifying a joint multistate model at the individual hand joint level, which also accounts for many of their important features. As there are multiple hand joints, such an analysis will be based on the use of clustered multistate models. Here we consider an observation level random-effects structure with dynamic covariates and allow for the possibility that a subpopulation of patients is at minimal risk of damage. Such an analysis is found to provide further understanding of the activity-damage relationship beyond that provided by previous analyses. Consideration is also given to the modelling of mean sojourn times and jump probabilities. In particular, a novel model parameterization which allows easily interpretable covariate effects to act on these quantities is proposed.

Informing the Uninformed: Optimizing the Consent Message Using a Fractional Factorial Design

PubMed Central

Tait, Alan R.; Voepel-Lewis, Terri; Nair, Vijayan N.; Narisetty, Naveen N.; Fagerlin, Angela

2013-01-01

Objective Research information should be presented in a manner that promotes understanding. However, many parents and research subjects have difficulty understanding and making informed decisions. This study was designed to examine the effect of different communication strategies on parental understanding of research information. Participants 640 parents of children scheduled for elective surgery Design Observational study using a fractional factorial design Setting Large tertiary care children's hospital Interventions Parents were randomized to receive information about a hypothetical pain trial presented in one of 16 consent documents containing different combinations of 5 selected communication strategies (i.e., length, readability, processability [formatting], graphical display, and supplemental verbal disclosure). Main outcome measures Parents were interviewed to determine their understanding of the study elements (e.g., protocol, alternatives etc.) and their gist (main point) and verbatim (actual) understanding of the risks and benefits. Results Main effects for understanding were found for processability, readability, message length, use of graphics, and verbal discussion. Consent documents with high processability, 8th grade reading level, and graphics resulted in significantly greater gist and verbatim understanding compared with forms without these attributes (mean difference, 95% CI = 0.57, 0.26–0.88, correct responses out of 7 and 0.54, 0.20–0.88 correct responses out of 4 for gist and verbatim, respectively). Conclusions Results identified several communication strategy combinations that improved parents' understanding of research information. Adoption of these active strategies by investigators, clinicians, IRBs, and study sponsors represents a simple, practical, and inexpensive means to optimize the consent message and enhance parental, participant, and patient understanding. PMID:23700028

Elementary education preservice teachers' understanding of biotechnology and its related processes.

PubMed

Chabalengula, Vivien Mweene; Mumba, Frackson; Chitiyo, Jonathan

2011-07-01

This study examined preservice teachers' understanding of biotechnology and its related processes. A sample comprised 88 elementary education preservice teachers at a large university in the Midwest of the USA. A total of 60 and 28 of the participants were enrolled in introductory and advanced science methods courses, respectively. Most participants had taken two integrated science courses at the college level. Data were collected using a questionnaire, which had open-ended items and which required participants to write the definitions and examples of the following terms: biotechnology, genetic engineering, cloning and genetically modified foods. The results indicate that preservice teachers had limited understanding of biotechnology and its related processes. The majority of the preservice teachers provided poor definitions, explanations, and examples of biotechnology, genetic engineering and genetically modified foods. Surprisingly, however, a moderate number of preservice teachers correctly defined cloning and provided correct examples of cloning. Implications for science teacher education, science curriculum, as well as recommendations for further research are discussed. Copyright © 2011 Wiley Periodicals, Inc.

Opportunities for learning in an introductory undergraduate human anatomy and physiology course

NASA Astrophysics Data System (ADS)

Montplaisir, Lisa Marie

2003-10-01

The purpose of this study was to explore the course conditions that support the development of meaningful student learning in an introductory undergraduate human anatomy and physiology course. The study was conducted during an 8-week summer-session at a small mid-western university. Classroom observations and taped recordings of class sessions were used to determine content episodes within the instructional unit, opportunities for learning created by the instructor, demonstrations of information processing by the students, and the ways in which the instructor used the Personal Response System (PRS). Student interviews were used to determine students' level of understanding of pre-test and post-test items. Student interviews and a questionnaire were used to determine students' perceptions of the PRS as a learning tool. Findings reveal that the instructor had different expectations of students when posing verbal questions in-class than he had when posing PRS questions. The use of verbal questions did not permit demonstrations of student understanding; however, the use of the PRS did result in demonstrations of student understanding. Questions posed via the use of the PRS were categorized according to cognitive level. The cognitive level of the questions increased with time over the instructional unit and within the content episodes. Students demonstrated deeper understanding of the topics after instruction than they did before instruction. Students reported more in-class thinking about the content, more discussion of the content with their neighbors, more regular class attendance, more opportunities for deeper learning, and a general preference for the PRS over traditional lectures. Findings of the study indicate that the instructional decisions about the use of questions influences the opportunities for students to process information and demonstrate their understanding of the content and that students valued these opportunities. A better understanding of the conditions that promote meaningful student learning may help us make decisions that result in improved student learning in our own classes.

Informatics and computational strategies for the study of lipids.

PubMed

Yetukuri, Laxman; Ekroos, Kim; Vidal-Puig, Antonio; Oresic, Matej

2008-02-01

Recent advances in mass spectrometry (MS)-based techniques for lipidomic analysis have empowered us with the tools that afford studies of lipidomes at the systems level. However, these techniques pose a number of challenges for lipidomic raw data processing, lipid informatics, and the interpretation of lipidomic data in the context of lipid function and structure. Integration of lipidomic data with other systemic levels, such as genomic or proteomic, in the context of molecular pathways and biophysical processes provides a basis for the understanding of lipid function at the systems level. The present report, based on the limited literature, is an update on a young but rapidly emerging field of lipid informatics and related pathway reconstruction strategies.

Toward the integration of expert knowledge and instrumental data to control food processes: application to Camembert-type cheese ripening.

PubMed

Sicard, M; Perrot, N; Leclercq-Perlat, M-N; Baudrit, C; Corrieu, G

2011-01-01

Modeling the cheese ripening process remains a challenge because of its complexity. We still lack the knowledge necessary to understand the interactions that take place at different levels of scale during the process. However, information may be gathered from expert knowledge. Combining this expertise with knowledge extracted from experimental databases may allow a better understanding of the entire ripening process. The aim of this study was to elicit expert knowledge and to check its validity to assess the evolution of organoleptic quality during a dynamic food process: Camembert cheese ripening. Experiments on a pilot scale were carried out at different temperatures and relative humidities to obtain contrasting ripening kinetics. During these experiments, macroscopic evolution was evaluated from an expert's point of view and instrumental measurements were carried out to simultaneously monitor microbiological, physicochemical, and biochemical kinetics. A correlation of 76% was established between the microbiological, physicochemical, and biochemical data and the sensory phases measured according to expert knowledge, highlighting the validity of the experts' measurements. In the future, it is hoped that this expert knowledge may be integrated into food process models to build better decision-aid systems that will make it possible to preserve organoleptic qualities by linking them to other phenomena at the microscopic level. Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Preliminary development of POEAW in enhancing K-11 students’ understanding level on impulse and momentum

NASA Astrophysics Data System (ADS)

Luthfiani, T. A.; Sinaga, P.; Samsudin, A.

2018-05-01

We have been analyzed that there were limited research about Predict-Observe- Explain which use writing process with conceptual change text strategy. This study aims to develop a learning model namely Predict-Observe-Explain-Apply-Writing (POEAW) which is able to enhance students’ understanding level. The research method utilized the 4D model (Defining, Designing, Developing and Disseminating) that is formally limited to Developing Stage. There are four experts who judge the learning component (syntax, lesson plan, teaching material and student worksheet) and matter component (learning quality and content component). The result of this study are obtained expert validity test score average of 87% for learning content and 89% for matter component that means the POEAW is valid and can be tested in classroom learning. This research producing POEAW learning model that has five main steps, Predict, Observe, Explain, Apply and Write. To sum up, we have early developed POEAW in enhancing K-11 students’ understanding levels on impulse and momentum.

Inferring infection hazard in wildlife populations by linking data across individual and population scales.

PubMed

Pepin, Kim M; Kay, Shannon L; Golas, Ben D; Shriner, Susan S; Gilbert, Amy T; Miller, Ryan S; Graham, Andrea L; Riley, Steven; Cross, Paul C; Samuel, Michael D; Hooten, Mevin B; Hoeting, Jennifer A; Lloyd-Smith, James O; Webb, Colleen T; Buhnerkempe, Michael G

2017-03-01

Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease. © 2017 John Wiley & Sons Ltd/CNRS.

Inferring infection hazard in wildlife populations by linking data across individual and population scales

USGS Publications Warehouse

Pepin, Kim M.; Kay, Shannon L.; Golas, Ben D.; Shriner, Susan A.; Gilbert, Amy T.; Miller, Ryan S.; Graham, Andrea L.; Riley, Steven; Cross, Paul C.; Samuel, Michael D.; Hooten, Mevin B.; Hoeting, Jennifer A.; Lloyd-Smith, James O.; Webb, Colleen T.; Buhnerkempe, Michael G.

2017-01-01

Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.

Agent based simulations in disease modeling Comment on "Towards a unified approach in the modeling of fibrosis: A review with research perspectives" by Martine Ben Amar and Carlo Bianca

NASA Astrophysics Data System (ADS)

Pappalardo, Francesco; Pennisi, Marzio

2016-07-01

Fibrosis represents a process where an excessive tissue formation in an organ follows the failure of a physiological reparative or reactive process. Mathematical and computational techniques may be used to improve the understanding of the mechanisms that lead to the disease and to test potential new treatments that may directly or indirectly have positive effects against fibrosis [1]. In this scenario, Ben Amar and Bianca [2] give us a broad picture of the existing mathematical and computational tools that have been used to model fibrotic processes at the molecular, cellular, and tissue levels. Among such techniques, agent based models (ABM) can give a valuable contribution in the understanding and better management of fibrotic diseases.

Explanatory Models for Psychiatric Illness

PubMed Central

Kendler, Kenneth S.

2009-01-01

How can we best develop explanatory models for psychiatric disorders? Because causal factors have an impact on psychiatric illness both at micro levels and macro levels, both within and outside of the individual, and involving processes best understood from biological, psychological, and sociocultural perspectives, traditional models of science that strive for single broadly applicable explanatory laws are ill suited for our field. Such models are based on the incorrect assumption that psychiatric illnesses can be understood from a single perspective. A more appropriate scientific model for psychiatry emphasizes the understanding of mechanisms, an approach that fits naturally with a multicausal framework and provides a realistic paradigm for scientific progress, that is, understanding mechanisms through decomposition and reassembly. Simple subunits of complicated mechanisms can be usefully studied in isolation. Reassembling these constituent parts into a functioning whole, which is straightforward for simple additive mechanisms, will be far more challenging in psychiatry where causal networks contain multiple nonlinear interactions and causal loops. Our field has long struggled with the interrelationship between biological and psychological explanatory perspectives. Building from the seminal work of the neuronal modeler and philosopher David Marr, the author suggests that biology will implement but not replace psychology within our explanatory systems. The iterative process of interactions between biology and psychology needed to achieve this implementation will deepen our understanding of both classes of processes. PMID:18483135

Early environments and the ecology of inflammation

PubMed Central

McDade, Thomas W.

2012-01-01

Recent research has implicated inflammatory processes in the pathophysiology of a wide range of chronic degenerative diseases, although inflammation has long been recognized as a critical line of defense against infectious disease. However, current scientific understandings of the links between chronic low-grade inflammation and diseases of aging are based primarily on research in high-income nations with low levels of infectious disease and high levels of overweight/obesity. From a comparative and historical point of view, this epidemiological situation is relatively unique, and it may not capture the full range of ecological variation necessary to understand the processes that shape the development of inflammatory phenotypes. The human immune system is characterized by substantial developmental plasticity, and a comparative, developmental, ecological framework is proposed to cast light on the complex associations among early environments, regulation of inflammation, and disease. Recent studies in the Philippines and lowland Ecuador reveal low levels of chronic inflammation, despite higher burdens of infectious disease, and point to nutritional and microbial exposures in infancy as important determinants of inflammation in adulthood. By shaping the regulation of inflammation, early environments moderate responses to inflammatory stimuli later in life, with implications for the association between inflammation and chronic diseases. Attention to the eco-logics of inflammation may point to promising directions for future research, enriching our understanding of this important physiological system and informing approaches to the prevention and treatment of disease. PMID:23045646

The Package-Based Development Process in the Flight Dynamics Division

NASA Technical Reports Server (NTRS)

Parra, Amalia; Seaman, Carolyn; Basili, Victor; Kraft, Stephen; Condon, Steven; Burke, Steven; Yakimovich, Daniil

1997-01-01

The Software Engineering Laboratory (SEL) has been operating for more than two decades in the Flight Dynamics Division (FDD) and has adapted to the constant movement of the software development environment. The SEL's Improvement Paradigm shows that process improvement is an iterative process. Understanding, Assessing and Packaging are the three steps that are followed in this cyclical paradigm. As the improvement process cycles back to the first step, after having packaged some experience, the level of understanding will be greater. In the past, products resulting from the packaging step have been large process documents, guidebooks, and training programs. As the technical world moves toward more modularized software, we have made a move toward more modularized software development process documentation, as such the products of the packaging step are becoming smaller and more frequent. In this manner, the QIP takes on a more spiral approach rather than a waterfall. This paper describes the state of the FDD in the area of software development processes, as revealed through the understanding and assessing activities conducted by the COTS study team. The insights presented include: (1) a characterization of a typical FDD Commercial Off the Shelf (COTS) intensive software development life-cycle process, (2) lessons learned through the COTS study interviews, and (3) a description of changes in the SEL due to the changing and accelerating nature of software development in the FDD.

Exploring the Role of Usability in the Software Process: A Study of Irish Software SMEs

NASA Astrophysics Data System (ADS)

O'Connor, Rory V.

This paper explores the software processes and usability techniques used by Small and Medium Enterprises (SMEs) that develop web applications. The significance of this research is that it looks at development processes used by SMEs in order to assess to what degree usability is integrated into the process. This study seeks to gain an understanding into the level of awareness of usability within SMEs today and their commitment to usability in practice. The motivation for this research is to explore the current development processes used by SMEs in developing web applications and to understand how usability is represented in those processes. The background for this research is provided by the growth of the web application industry beyond informational web sites to more sophisticated applications delivering a broad range of functionality. This paper presents an analysis of the practices of several Irish SMEs that develop web applications through a series of case studies. With the focus on SMEs that develop web applications as Management Information Systems and not E-Commerce sites, informational sites, online communities or web portals. This study gathered data about the usability techniques practiced by these companies and their awareness of usability in the context of the software process in those SMEs. The contribution of this study is to further the understanding of the current role of usability within the software development processes of SMEs that develop web applications.

Self-Esteem, Splitting, Anxiety, Fear, Depression, Anxiety Sensitivity and Locus of Control as They Relate to the Homosexual Identity Formation Process.

ERIC Educational Resources Information Center

Binks, Sidney Walter, III

This study proposed that before comparisons between homosexuals and heterosexuals on levels of self-esteem, anxiety, depression, and locus of control can be made, one must understand the unique process of homosexual identity formation and how it differs from heterosexual identity formation. Subjects included 231 male and 21 female members (ages…

How effective are simulated molecular-level experiments for teaching diffusion and osmosis?

PubMed

Meir, Eli; Perry, Judith; Stal, Derek; Maruca, Susan; Klopfer, Eric

2005-01-01

Diffusion and osmosis are central concepts in biology, both at the cellular and organ levels. They are presented several times throughout most introductory biology textbooks (e.g., Freeman, 2002), yet both processes are often difficult for students to understand (Odom, 1995; Zuckerman, 1994; Sanger et al., 2001; and results herein). Students have deep-rooted misconceptions about how diffusion and osmosis work, especially at the molecular level. We hypothesized that this might be in part due to the inability to see and explore these processes at the molecular level. In order to investigate this, we developed new software, OsmoBeaker, which allows students to perform inquiry-based experiments at the molecular level. Here we show that these simulated laboratories do indeed teach diffusion and osmosis and help overcome some, but not all, student misconceptions.

How Effective Are Simulated Molecular-level Experiments for Teaching Diffusion and Osmosis?

PubMed Central

2005-01-01

Diffusion and osmosis are central concepts in biology, both at the cellular and organ levels. They are presented several times throughout most introductory biology textbooks (e.g., Freeman, 2002), yet both processes are often difficult for students to understand (Odom, 1995; Zuckerman, 1994; Sanger et al., 2001; and results herein). Students have deep-rooted misconceptions about how diffusion and osmosis work, especially at the molecular level. We hypothesized that this might be in part due to the inability to see and explore these processes at the molecular level. In order to investigate this, we developed new software, OsmoBeaker, which allows students to perform inquiry-based experiments at the molecular level. Here we show that these simulated laboratories do indeed teach diffusion and osmosis and help overcome some, but not all, student misconceptions. PMID:16220144

No question about exciting questions in cell biology.

PubMed

Pollard, Thomas D

2013-12-01

Although we have a good grasp of many important processes in cell biology, including knowledge of many molecules involved and how they interact with each other, we still do not understand most of the dynamical features that are the essence of living systems. Fortunately, we now have the ability to dissect biological systems in enough detail to understand their dynamics, including the use of mathematical models to account for past observations and predict future experiments. This deep level of mechanistic understanding should be our goal—not simply to satisfy our scientific curiosity, but also to understand the causes of disease well enough to predict risks, make early diagnoses, and treat effectively. Many big questions remain to be answered before we reach this goal of understanding cellular dynamics.

Factors that influence parental decisions to participate in clinical research: consenters vs nonconsenters.

PubMed

Hoberman, Alejandro; Shaikh, Nader; Bhatnagar, Sonika; Haralam, Mary Ann; Kearney, Diana H; Colborn, D Kathleen; Kienholz, Michelle L; Wang, Li; Bunker, Clareann H; Keren, Ron; Carpenter, Myra A; Greenfield, Saul P; Pohl, Hans G; Mathews, Ranjiv; Moxey-Mims, Marva; Chesney, Russell W

2013-06-01

A child's health, positive perceptions of the research team and consent process, and altruistic motives play significant roles in the decision-making process for parents who consent for their child to enroll in clinical research. This study identified that nonconsenting parents were better educated, had private insurance, showed lower levels of altruism, and less understanding of study design. To determine the factors associated with parental consent for their child's participation in a randomized, placebo-controlled trial. Cross-sectional survey conducted from July 2008 to May 2011. The survey was an ancillary study to the Randomized Intervention for Children with VesicoUreteral Reflux Study. Seven children's hospitals participating in a randomized trial evaluating management of children with vesicoureteral reflux. Parents asked to provide consent for their child's participation in the randomized trial were invited to complete an anonymous online survey about factors influencing their decision. A total of 120 of the 271 (44%) invited completed the survey; 58 of 125 (46%) who had provided consent and 62 of 144 (43%) who had declined consent completed the survey. A 60-question survey examining child, parent, and study characteristics; parental perception of the study; understanding of the design; external influences; and decision-making process. RESULTS Having graduated from college and private health insurance were associated with a lower likelihood of providing consent. Parents who perceived the trial as having a low degree of risk, resulting in greater benefit to their child and other children, causing little interference with standard care, or exhibiting potential for enhanced care, or who perceived the researcher as professional were significantly more likely to consent to participate. Higher levels of understanding of the randomization process, blinding, and right to withdraw were significantly positively associated with consent to participate. CONCLUSIONS AND RELEVANCE Parents who declined consent had a relatively higher socioeconomic status, had more anxiety about their decision, and found it harder to make their decision compared with consenting parents, who had higher levels of trust and altruism, perceived the potential for enhanced care, reflected better understanding of randomization, and exhibited low decisional uncertainty. Consideration of the factors included in the conceptual model should enhance the quality of the informed consent process and improve participation in pediatric clinical trials.

Multilevel processes and cultural adaptation: Examples from past and present small-scale societies.

PubMed

Reyes-García, V; Balbo, A L; Gomez-Baggethun, E; Gueze, M; Mesoudi, A; Richerson, P; Rubio-Campillo, X; Ruiz-Mallén, I; Shennan, S

2016-12-01

Cultural adaptation has become central in the context of accelerated global change with authors increasingly acknowledging the importance of understanding multilevel processes that operate as adaptation takes place. We explore the importance of multilevel processes in explaining cultural adaptation by describing how processes leading to cultural (mis)adaptation are linked through a complex nested hierarchy, where the lower levels combine into new units with new organizations, functions, and emergent properties or collective behaviours. After a brief review of the concept of "cultural adaptation" from the perspective of cultural evolutionary theory and resilience theory, the core of the paper is constructed around the exploration of multilevel processes occurring at the temporal, spatial, social and political scales. We do so by examining small-scale societies' case studies. In each section, we discuss the importance of the selected scale for understanding cultural adaptation and then present an example that illustrates how multilevel processes in the selected scale help explain observed patterns in the cultural adaptive process. We end the paper discussing the potential of modelling and computer simulation for studying multilevel processes in cultural adaptation.

Multilevel processes and cultural adaptation: Examples from past and present small-scale societies

PubMed Central

Reyes-García, V.; Balbo, A. L.; Gomez-Baggethun, E.; Gueze, M.; Mesoudi, A.; Richerson, P.; Rubio-Campillo, X.; Ruiz-Mallén, I.; Shennan, S.

2016-01-01

Cultural adaptation has become central in the context of accelerated global change with authors increasingly acknowledging the importance of understanding multilevel processes that operate as adaptation takes place. We explore the importance of multilevel processes in explaining cultural adaptation by describing how processes leading to cultural (mis)adaptation are linked through a complex nested hierarchy, where the lower levels combine into new units with new organizations, functions, and emergent properties or collective behaviours. After a brief review of the concept of “cultural adaptation” from the perspective of cultural evolutionary theory and resilience theory, the core of the paper is constructed around the exploration of multilevel processes occurring at the temporal, spatial, social and political scales. We do so by examining small-scale societies’ case studies. In each section, we discuss the importance of the selected scale for understanding cultural adaptation and then present an example that illustrates how multilevel processes in the selected scale help explain observed patterns in the cultural adaptive process. We end the paper discussing the potential of modelling and computer simulation for studying multilevel processes in cultural adaptation. PMID:27774109

Implications of sediment redistribution on modeled sea-level changes over millennial timescales

NASA Astrophysics Data System (ADS)

Ferrier, Ken

2016-04-01

Sea level is a critical link in feedbacks among topography, tectonics, and climate. Over millennial timescales, changes in sea level reshape river networks, regulate organic carbon burial, influence sediment deposition, and set moving boundary conditions for landscape evolution. Sea-level changes influence tectonics by regulating rates and patterns of erosion and deposition, which perturb the surface loads that drive geodynamic processes at depth. These interactions are complex because sea-level changes are influenced by the geomorphic processes that they themselves modify, since sediment redistribution deforms the gravitational and crustal elevation fields that define sea level. A recent advance in understanding the coupling between sea level, tectonics, and topography was the incorporation of sediment redistribution into a gravitationally self-consistent sea-level model, which permits the computation of sea-level responses to erosion and deposition (Dalca et al., 2013, Geophysical Journal International). Here I use this model to quantify changes in sea level resulting from the erosion of some of the most rapidly eroding sites on Earth and the deposition of sediment offshore. These model results show that the sea-level fingerprints of sediment redistribution are strongly variable in space, and that they can represent a significant component of the total sea level change since the last interglacial. This work provides a basis for understanding a fundamental driver of landscape evolution at some of Earth's most geomorphically dynamic sites, and thus aids investigation of the couplings among tectonics, climate, and topography. References Dalca A.V., Ferrier K.L., Mitrovica J.X., Perron J.T., Milne G.A., Creveling J.R., 2013. On postglacial sea level - III. Incorporating sediment redistribution. Geophysical Journal International, doi: 10.1093/gji/ggt089.

NMR spectroscopy and chemometrics to evaluate different processing of coconut water.

PubMed

Sucupira, N R; Alves Filho, E G; Silva, L M A; de Brito, E S; Wurlitzer, N J; Sousa, P H M

2017-02-01

NMR and chemometrics was applied to understand the variations in chemical composition of coconut water under different processing. Six processing treatments were applied to coconut water and analyzed: two control (with and without sulphite), and four samples thermally processed at 110°C and 136°C (with and without sulphite). Samples processed at lower temperature and without sulphite presented pink color under storage. According to chemometrics, samples processed at higher temperature exhibited lower levels of glucose and malic acid. Samples with sulphite processed at 136°C presented lower amount of sucrose, suggesting the degradation of the carbohydrates after harshest thermal treatment. Samples with sulphite and processed at lower temperature showed higher concentration of ethanol. However, no significant changes were verified in coconut water composition as a whole. Sulphite addition and the temperature processing to 136°C were effective to prevent the pinking and to maintain the levels of main organic compounds. Copyright © 2016 Elsevier Ltd. All rights reserved.

On the thermodynamics of multilevel evolution.

PubMed

Tessera, Marc; Hoelzer, Guy A

2013-09-01

Biodiversity is hierarchically structured both phylogenetically and functionally. Phylogenetic hierarchy is understood as a product of branching organic evolution as described by Darwin. Ecosystem biologists understand some aspects of functional hierarchy, such as food web architecture, as a product of evolutionary ecology; but functional hierarchy extends to much lower scales of organization than those studied by ecologists. We argue that the more general use of the term "evolution" employed by physicists and applied to non-living systems connects directly to the narrow biological meaning. Physical evolution is best understood as a thermodynamic phenomenon, and this perspective comfortably includes all of biological evolution. We suggest four dynamical factors that build on each other in a hierarchical fashion and set the stage for the Darwinian evolution of biological systems: (1) the entropic erosion of structure; (2) the construction of dissipative systems; (3) the reproduction of growing systems and (4) the historical memory accrued to populations of reproductive agents by the acquisition of hereditary mechanisms. A particular level of evolution can underpin the emergence of higher levels, but evolutionary processes persist at each level in the hierarchy. We also argue that particular evolutionary processes can occur at any level of the hierarchy where they are not obstructed by material constraints. This theoretical framework provides an extensive basis for understanding natural selection as a multilevel process. The extensive literature on thermodynamics in turn provides an important advantage to this perspective on the evolution of higher levels of organization, such as the evolution of altruism that can accompany the emergence of social organization. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Community understandings of and responses to gender equality and empowerment in Rakai, Uganda.

PubMed

Mullinax, Margo; Higgins, Jenny; Wagman, Jennifer; Nakyanjo, Neema; Kigozi, Godfrey; Serwadda, David; Wawer, Maria; Gray, Ronald; Nalugoda, Fred

2013-01-01

Women's rights and gender empowerment programmes are now part of the international agenda for improving global public health, the benefits of which are well documented. However, the public health community has, yet, to address how people define and understand gender equality and how they enact the process of empowerment in their lives. This study uses safe homes and respect for everyone (SHARE), an anti-violence intervention in rural Rakai, Uganda, as a case study to investigate perceptions of gender equality. Investigators analysed 12 focus groups of adult women and men to explore how macro-level concepts of gender equality are being processed on an interpersonal level and the effects on health outcomes. Respondents generally agreed that women lack basic rights. However, they also expressed widespread disagreement about the meanings of gender equality, and reported difficulties integrating the concepts of gender equality into their interpersonal relationships. Community members reported that equality, with the resulting shift in gender norms, could expose women to adverse consequences such as violence, infidelity and abandonment with increased sexual health risks, and potential adverse effects on education. Efforts to increase women's rights must occur in conjunction with community-based work on understandings of gender equality.

An interactive modeling lesson increases students' understanding of ploidy during meiosis.

PubMed

Wright, L Kate; Newman, Dina L

2011-01-01

Chromosome structure is confusing to students at all levels, and chromosome behavior during meiosis is a notoriously difficult topic. Undergraduate biology majors are exposed to the process of meiosis numerous times during their presecondary and postsecondary education, yet understanding of key concepts, such as the point at which haploidy is established, does not improve substantially with repeated exposure. Based on student's drawings, 96% of intermediate-level biology majors have unclear or incorrect ideas about meiosis. Students have difficulty diagramming the process of meiosis starting with three unreplicated pairs of chromosomes, and even when they can produce an accurate diagram, they are unclear how to assign the terms "haploid" and "diploid." We designed an interactive lesson based on constructivist theory to address these issues in a large lecture class. Pretest and posttest scores showed a significant improvement in students' understanding of ploidy compared to a parallel class taught in the traditional way (e.g. using the textbook diagrams). In interviews afterward, those students whose scores improved on exams specifically pointed to the features of the in-class modeling that were deliberately incorporated for that purpose. Copyright © 2011 Wiley Periodicals, Inc.

Situation Awareness and Interruption Handling During Medication Administration.

PubMed

Sitterding, Mary Cathryn; Ebright, Patricia; Broome, Marion; Patterson, Emily S; Wuchner, Staci

2014-08-01

Medication administration error remains a leading cause of preventable death. A gap exists in understanding attentional dynamics, such as nurse situation awareness (SA) while managing interruptions during medication administration. The aim was to describe SA during medication administration and interruption handling strategies. A cross-sectional, descriptive design was used. Cognitive task analysis (CTA) methods informed analysis of 230 interruptions. Themes were analyzed by SA level. The nature of the stimuli noticed emerged as a Level 1 theme, in contrast to themes of uncertainty, relevance, and expectations (Level 2 themes). Projected or anticipated interventions (Level 3 themes) reflected workload balance between team and patient foregrounds. The prevalence of cognitive time-sharing during the medication administration process was remarkable. Findings substantiated the importance of the concept of SA within nursing as well as the contribution of CTA in understanding the cognitive work of nursing during medication administration. © The Author(s) 2014.

A comparative approach to closed-loop computation.

PubMed

Roth, E; Sponberg, S; Cowan, N J

2014-04-01

Neural computation is inescapably closed-loop: the nervous system processes sensory signals to shape motor output, and motor output consequently shapes sensory input. Technological advances have enabled neuroscientists to close, open, and alter feedback loops in a wide range of experimental preparations. The experimental capability of manipulating the topology-that is, how information can flow between subsystems-provides new opportunities to understand the mechanisms and computations underlying behavior. These experiments encompass a spectrum of approaches from fully open-loop, restrained preparations to the fully closed-loop character of free behavior. Control theory and system identification provide a clear computational framework for relating these experimental approaches. We describe recent progress and new directions for translating experiments at one level in this spectrum to predictions at another level. Operating across this spectrum can reveal new understanding of how low-level neural mechanisms relate to high-level function during closed-loop behavior. Copyright © 2013 Elsevier Ltd. All rights reserved.

Electronic levels and charge distribution near the interface of nickel

NASA Technical Reports Server (NTRS)

Waber, J. T.

1982-01-01

The energy levels in clusters of nickel atoms were investigated by means of a series of cluster calculations using both the multiple scattering and computational techniques (designated SSO) which avoids the muffin-tin approximation. The point group symmetry of the cluster has significant effect on the energy of levels nominally not occupied. This influences the electron transfer process during chemisorption. The SSO technique permits the approaching atom or molecule plus a small number of nickel atoms to be treated as a cluster. Specifically, molecular levels become more negative in the O atom, as well as in a CO molecule, as the metal atoms are approached. Thus, electron transfer from the nickel and bond formation is facilitated. This result is of importance in understanding chemisorption and catalytic processes.

The social neuroscience and the theory of integrative levels.

PubMed

Bello-Morales, Raquel; Delgado-García, José María

2015-01-01

The theory of integrative levels provides a general description of the evolution of matter through successive orders of complexity and integration. Along its development, material forms pass through different levels of organization, such as physical, chemical, biological or sociological. The appearance of novel structures and dynamics during this process of development of matter in complex systems has been called emergence. Social neuroscience (SN), an interdisciplinary field that aims to investigate the biological mechanisms that underlie social structures, processes, and behavior and the influences between social and biological levels of organization, has affirmed the necessity for including social context as an essential element to understand the human behavior. To do this, SN proposes a multilevel integrative approach by means of three principles: multiple determinism, nonadditive determinism and reciprocal determinism. These theoretical principles seem to share the basic tenets of the theory of integrative levels but, in this paper, we aim to reveal the differences among both doctrines. First, SN asserts that combination of neural and social variables can produce emergent phenomena that would not be predictable from a neuroscientific or social psychological analysis alone; SN also suggests that to achieve a complete understanding of social structures we should use an integrative analysis that encompasses levels of organization ranging from the genetic level to the social one; finally, SN establishes that there can be mutual influences between biological and social factors in determining behavior, accepting, therefore, a double influence, upward from biology to social level, and downward, from social level to biology. In contrast, following the theory of integrative levels, emergent phenomena are not produced by the combination of variables from two levels, but by the increment of complexity at one level. In addition, the social behavior and structures might be contemplated not as the result of mixing or summing social and biological influences, but as emergent phenomena that should be described with its own laws. Finally, following the integrative levels view, influences upward, from biology to social level, and downward, from social level to biology, might not be equivalent, since the bottom-up processes are emergent and the downward causation (DC) is not.

The social neuroscience and the theory of integrative levels

PubMed Central

Bello-Morales, Raquel; Delgado-García, José María

2015-01-01

The theory of integrative levels provides a general description of the evolution of matter through successive orders of complexity and integration. Along its development, material forms pass through different levels of organization, such as physical, chemical, biological or sociological. The appearance of novel structures and dynamics during this process of development of matter in complex systems has been called emergence. Social neuroscience (SN), an interdisciplinary field that aims to investigate the biological mechanisms that underlie social structures, processes, and behavior and the influences between social and biological levels of organization, has affirmed the necessity for including social context as an essential element to understand the human behavior. To do this, SN proposes a multilevel integrative approach by means of three principles: multiple determinism, nonadditive determinism and reciprocal determinism. These theoretical principles seem to share the basic tenets of the theory of integrative levels but, in this paper, we aim to reveal the differences among both doctrines. First, SN asserts that combination of neural and social variables can produce emergent phenomena that would not be predictable from a neuroscientific or social psychological analysis alone; SN also suggests that to achieve a complete understanding of social structures we should use an integrative analysis that encompasses levels of organization ranging from the genetic level to the social one; finally, SN establishes that there can be mutual influences between biological and social factors in determining behavior, accepting, therefore, a double influence, upward from biology to social level, and downward, from social level to biology. In contrast, following the theory of integrative levels, emergent phenomena are not produced by the combination of variables from two levels, but by the increment of complexity at one level. In addition, the social behavior and structures might be contemplated not as the result of mixing or summing social and biological influences, but as emergent phenomena that should be described with its own laws. Finally, following the integrative levels view, influences upward, from biology to social level, and downward, from social level to biology, might not be equivalent, since the bottom-up processes are emergent and the downward causation (DC) is not. PMID:26578909

Analytical framework and tool kit for SEA follow-up

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

Nilsson, Mans; Wiklund, Hans; Finnveden, Goeran

2009-04-15

Most Strategic Environmental Assessment (SEA) research and applications have so far neglected the ex post stages of the process, also called SEA follow-up. Tool kits and methodological frameworks for engaging effectively with SEA follow-up have been conspicuously missing. In particular, little has so far been learned from the much more mature evaluation literature although many aspects are similar. This paper provides an analytical framework and tool kit for SEA follow-up. It is based on insights and tools developed within programme evaluation and environmental systems analysis. It is also grounded in empirical studies into real planning and programming practices at themore » regional level, but should have relevance for SEA processes at all levels. The purpose of the framework is to promote a learning-oriented and integrated use of SEA follow-up in strategic decision making. It helps to identify appropriate tools and their use in the process, and to systematise the use of available data and knowledge across the planning organization and process. It distinguishes three stages in follow-up: scoping, analysis and learning, identifies the key functions and demonstrates the informational linkages to the strategic decision-making process. The associated tool kit includes specific analytical and deliberative tools. Many of these are applicable also ex ante, but are then used in a predictive mode rather than on the basis of real data. The analytical element of the framework is organized on the basis of programme theory and 'DPSIR' tools. The paper discusses three issues in the application of the framework: understanding the integration of organizations and knowledge; understanding planners' questions and analytical requirements; and understanding interests, incentives and reluctance to evaluate.« less

Using a familiar risk comparison within a risk ladder to improve risk understanding by low numerates: a study of visual attention.

PubMed

Keller, Carmen

2011-07-01

Previous experimental research provides evidence that a familiar risk comparison within a risk ladder is understood by low- and high-numerate individuals. It especially helps low numerates to better evaluate risk. In the present study, an eye tracker was used to capture individuals' visual attention to a familiar risk comparison, such as the risk associated with smoking. Two parameters of information processing-efficiency and level-were derived from visual attention. A random sample of participants from the general population (N= 68) interpreted a given risk level with the help of the risk ladder. Numeracy was negatively correlated with overall visual attention on the risk ladder (r(s) =-0.28, p= 0.01), indicating that the lower the numeracy, the more the time spent looking at the whole risk ladder. Numeracy was positively correlated with the efficiency of processing relevant frequency (r(s) = 0.34, p < 0.001) and relevant textual information (r(s) = 0.34, p < 0.001), but not with the efficiency of processing relevant comparative information and numerical information. There was a significant negative correlation between numeracy and the level of processing of relevant comparative risk information (r(s) =-0.21, p < 0.01), indicating that low numerates processed the comparative risk information more deeply than the high numerates. There was no correlation between numeracy and perceived risk. These results add to previous experimental research, indicating that the smoking risk comparison was crucial for low numerates to evaluate and understand risk. Furthermore, the eye-tracker method is promising for studying information processing and improving risk communication formats. © 2011 Society for Risk Analysis.

Understanding and Controlling Sialylation in a CHO Fc-Fusion Process

PubMed Central

Lewis, Amanda M.; Croughan, William D.; Aranibar, Nelly; Lee, Alison G.; Warrack, Bethanne; Abu-Absi, Nicholas R.; Patel, Rutva; Drew, Barry; Borys, Michael C.; Reily, Michael D.; Li, Zheng Jian

2016-01-01

A Chinese hamster ovary (CHO) bioprocess, where the product is a sialylated Fc-fusion protein, was operated at pilot and manufacturing scale and significant variation of sialylation level was observed. In order to more tightly control glycosylation profiles, we sought to identify the cause of variability. Untargeted metabolomics and transcriptomics methods were applied to select samples from the large scale runs. Lower sialylation was correlated with elevated mannose levels, a shift in glucose metabolism, and increased oxidative stress response. Using a 5-L scale model operated with a reduced dissolved oxygen set point, we were able to reproduce the phenotypic profiles observed at manufacturing scale including lower sialylation, higher lactate and lower ammonia levels. Targeted transcriptomics and metabolomics confirmed that reduced oxygen levels resulted in increased mannose levels, a shift towards glycolysis, and increased oxidative stress response similar to the manufacturing scale. Finally, we propose a biological mechanism linking large scale operation and sialylation variation. Oxidative stress results from gas transfer limitations at large scale and the presence of oxygen dead-zones inducing upregulation of glycolysis and mannose biosynthesis, and downregulation of hexosamine biosynthesis and acetyl-CoA formation. The lower flux through the hexosamine pathway and reduced intracellular pools of acetyl-CoA led to reduced formation of N-acetylglucosamine and N-acetylneuraminic acid, both key building blocks of N-glycan structures. This study reports for the first time a link between oxidative stress and mammalian protein sialyation. In this study, process, analytical, metabolomic, and transcriptomic data at manufacturing, pilot, and laboratory scales were taken together to develop a systems level understanding of the process and identify oxygen limitation as the root cause of glycosylation variability. PMID:27310468

Image understanding systems based on the unifying representation of perceptual and conceptual information and the solution of mid-level and high-level vision problems

NASA Astrophysics Data System (ADS)

Kuvychko, Igor

2001-10-01

Vision is a part of a larger information system that converts visual information into knowledge structures. These structures drive vision process, resolving ambiguity and uncertainty via feedback, and provide image understanding, that is an interpretation of visual information in terms of such knowledge models. A computer vision system based on such principles requires unifying representation of perceptual and conceptual information. Computer simulation models are built on the basis of graphs/networks. The ability of human brain to emulate similar graph/networks models is found. That means a very important shift of paradigm in our knowledge about brain from neural networks to the cortical software. Starting from the primary visual areas, brain analyzes an image as a graph-type spatial structure. Primary areas provide active fusion of image features on a spatial grid-like structure, where nodes are cortical columns. The spatial combination of different neighbor features cannot be described as a statistical/integral characteristic of the analyzed region, but uniquely characterizes such region itself. Spatial logic and topology naturally present in such structures. Mid-level vision processes like clustering, perceptual grouping, multilevel hierarchical compression, separation of figure from ground, etc. are special kinds of graph/network transformations. They convert low-level image structure into the set of more abstract ones, which represent objects and visual scene, making them easy for analysis by higher-level knowledge structures. Higher-level vision phenomena like shape from shading, occlusion, etc. are results of such analysis. Such approach gives opportunity not only to explain frequently unexplainable results of the cognitive science, but also to create intelligent computer vision systems that simulate perceptional processes in both what and where visual pathways. Such systems can open new horizons for robotic and computer vision industries.

Social capital and health: measuring and understanding social capital at a local level could help to tackle health inequalities more effectively.

PubMed

Pilkington, Paul

2002-09-01

This paper examines whether an understanding of the concept of social capital and its local measurement can help to tackle inequalities in health within and across communities. The paper concludes that the concept of social capital offers a valuable opportunity to help public health professionals understand how to approach inequalities in health with a greater awareness of the social processes affecting the health of communities. The measurement of social capital has been problematic. However, new guidance from the Health Development Agency (HDA) provides a useful tool for developing social capital research. A greater understanding of whether, and how social capital relates to health will help to improve strategies to reduce health inequalities at the community level. Public health professionals contributing to community development strategies such as Neighbourhood Renewal Projects, Community Safety Partnerships, Health Action Zones and Health Improvement Programmes (HImPs) should encourage thought to be given about the role that an understanding of social capital could play in making these strategies more effective. Using the HDA measurement tool locally could be one way of doing this.

Modeling systems-level dynamics: Understanding without mechanistic explanation in integrative systems biology.

PubMed

MacLeod, Miles; Nersessian, Nancy J

2015-02-01

In this paper we draw upon rich ethnographic data of two systems biology labs to explore the roles of explanation and understanding in large-scale systems modeling. We illustrate practices that depart from the goal of dynamic mechanistic explanation for the sake of more limited modeling goals. These processes use abstract mathematical formulations of bio-molecular interactions and data fitting techniques which we call top-down abstraction to trade away accurate mechanistic accounts of large-scale systems for specific information about aspects of those systems. We characterize these practices as pragmatic responses to the constraints many modelers of large-scale systems face, which in turn generate more limited pragmatic non-mechanistic forms of understanding of systems. These forms aim at knowledge of how to predict system responses in order to manipulate and control some aspects of them. We propose that this analysis of understanding provides a way to interpret what many systems biologists are aiming for in practice when they talk about the objective of a "systems-level understanding." Copyright © 2014 Elsevier Ltd. All rights reserved.

Real-Time Visualization of Network Behaviors for Situational Awareness

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

Best, Daniel M.; Bohn, Shawn J.; Love, Douglas V.

Plentiful, complex, and dynamic data make understanding the state of an enterprise network difficult. Although visualization can help analysts understand baseline behaviors in network traffic and identify off-normal events, visual analysis systems often do not scale well to operational data volumes (in the hundreds of millions to billions of transactions per day) nor to analysis of emergent trends in real-time data. We present a system that combines multiple, complementary visualization techniques coupled with in-stream analytics, behavioral modeling of network actors, and a high-throughput processing platform called MeDICi. This system provides situational understanding of real-time network activity to help analysts takemore » proactive response steps. We have developed these techniques using requirements gathered from the government users for which the tools are being developed. By linking multiple visualization tools to a streaming analytic pipeline, and designing each tool to support a particular kind of analysis (from high-level awareness to detailed investigation), analysts can understand the behavior of a network across multiple levels of abstraction.« less

Unpacking team process dynamics and emergent phenomena: Challenges, conceptual advances, and innovative methods.

PubMed

Kozlowski, Steve W J; Chao, Georgia T

2018-01-01

Psychologists have studied small-group and team effectiveness for decades, and although there has been considerable progress, there remain significant challenges. Meta-analyses and systematic research have provided solid evidence for core team cognitive, motivational, affective, and behavioral processes that contribute to team effectiveness and empirical support for interventions that enhance team processes (e.g., team design, composition, training, and leadership); there has been substantial evidence for a science of team effectiveness. Nonetheless, there have also been concerns that team processes, which are inherently dynamic, have primarily been assessed as static constructs. Team-level processes and outcomes are multilevel phenomena that emerge, bottom-up from the interactions among team members over time, under the shifting demands of a work context. Thus, theoretical development that appropriately conceptualizes the multiple levels, process dynamics, and emergence of team phenomena over time are essential to advance understanding. Moreover, these conceptual advances necessitate innovative research methodologies to better capture team process dynamics. We explicate this foundation and then describe 2 promising streams of scientific inquiry-team interaction sensors and computational modeling-that are advancing new, unobtrusive measurement techniques and process-oriented research methods focused on understanding the dynamics of cohesion and cognition in teamwork. These are distinct lines of research, each endeavoring to advance the science, but doing so through the development of very different methodologies. We close by discussing the near-term research challenges and the potential long-term evolution of these innovative methods, with an eye toward the future for process-oriented theory and research on team effectiveness. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Counseling the Gifted and Talented.

ERIC Educational Resources Information Center

Silverman, Linda Kreger, Ed.

This graduate-level textbook provides a framework for understanding giftedness, and considers the counseling process and strategies for counseling in the schools. Chapters include: "The Gifted Individual" (Linda Kreger Silverman); "The Quest for Meaning: Counseling Issues with Gifted Children and Adolescents" (Deirdre V. Lovecky); "A Developmental…

34 CFR 644.7 - What definitions apply?

Code of Federal Regulations, 2014 CFR

2014-07-01

... knowledge about— (i) Personal and family budget planning; (ii) Understanding credit building principles to..., personal costs); (v) Financial assistance (e.g., searches, application processes, and differences between... individual means an individual whose family's taxable income did not exceed 150 percent of the poverty level...

34 CFR 644.7 - What definitions apply?

Code of Federal Regulations, 2012 CFR

2012-07-01

... knowledge about— (i) Personal and family budget planning; (ii) Understanding credit building principles to..., personal costs); (v) Financial assistance (e.g., searches, application processes, and differences between... individual means an individual whose family's taxable income did not exceed 150 percent of the poverty level...

34 CFR 644.7 - What definitions apply?

Code of Federal Regulations, 2013 CFR

2013-07-01

... knowledge about— (i) Personal and family budget planning; (ii) Understanding credit building principles to..., personal costs); (v) Financial assistance (e.g., searches, application processes, and differences between... individual means an individual whose family's taxable income did not exceed 150 percent of the poverty level...

The Transitional Experience: An Alternative View of Culture Shock

ERIC Educational Resources Information Center

Adler, Peter S.

1975-01-01

This article contended that the problems and frustrations encountered in the culture shock process are important to an understanding of change and movement experiences, and that such transitional experiences can be the source of higher levels of personality development. (Author/RK)

Catchment hydrological responses to forest harvest amount and spatial pattern

EPA Science Inventory

Forest harvest effects on streamflow dynamics have been well described experimentally, but a clear understanding of process-level hydrological controls can be difficult to ascertain from data alone. We apply a new model, Visualizing Ecosystems for Land Management Assessments (VE...

Final Report for Contract N00014-89-J-1967 for the Time Period from 1 May 1989 to 31 December 1990 (Texas Univ. at Austin. Applied Research Labs.)

DTIC Science & Technology

1991-04-23

in this section. In our investigation of higher order processing methods for remote acoustic sensing we sought to understand the principles of laser...magnitude less than those presently detected in laboratory measurements. An initial study of several potential higher order processing techniques was...incoherent. The use of higher order processing methods to provide some level of discrimination against noise thus appears tractable. Finally, the effects

Electron Transport Modeling of Molecular Nanoscale Bridges Used in Energy Conversion Schemes

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

Dunietz, Barry D

2016-08-09

The goal of the research program is to reliably describe electron transport and transfer processes at the molecular level. Such insight is essential for improving molecular applications of solar and thermal energy conversion. We develop electronic structure models to study (1) photoinduced electron transfer and transport processes in organic semiconducting materials, and (2) charge and heat transport through molecular bridges. We seek fundamental understanding of key processes, which lead to design new experiments and ultimately to achieve systems with improved properties.

Does ego development increase during midlife? The effects of openness and accommodative processing of difficult events.

PubMed

Lilgendahl, Jennifer Pals; Helson, Ravenna; John, Oliver P

2013-08-01

Although Loevinger's model of ego development is a theory of personality growth, there are few studies that have examined age-related change in ego level over developmentally significant periods of adulthood. To address this gap in the literature, we examined mean-level change and individual differences in change in ego level over 18 years of midlife. In this longitudinal study, participants were 79 predominantly White, college-educated women who completed the Washington University Sentence Completion Test in early (age 43) and late (age 61) midlife as well as measures of the trait of Openness (ages 21, 43, 52, and 61) and accommodative processing (assessed from narratives of difficult life events at age 52). As hypothesized, the sample overall showed a mean-level increase in ego level from age 43 to age 61. Additionally, a regression analysis showed that both the trait of Openness at age 21 and accommodative processing of difficult events that occurred during (as opposed to prior to) midlife were each predictive of increasing ego level from age 43 to age 61. These findings counter prior claims that ego level remains stable during adulthood and contribute to our understanding of the underlying processes involved in personality growth in midlife. © 2012 Wiley Periodicals, Inc.

Particle monitoring and control in vacuum processing equipment

NASA Astrophysics Data System (ADS)

Borden, Peter G., Dr.; Gregg, John

1989-10-01

Particle contamination during vacuum processes has emerged as the largest single source of yield loss in VLSI manufacturing. While a number of tools have been available to help understand the sources and nature of this contamination, only recently has it been possible to monitor free particle levels within vacuum equipment in real-time. As a result, a better picture is available of how particle contamination can affect a variety of processes. This paper reviews some of the work that has been done to monitor particles in vacuum loadlocks and in processes such as etching, sputtering and ion implantation. The aim has been to make free particles in vacuum equipment a measurable process parameter. Achieving this allows particles to be controlled using statistical process control. It will be shown that free particle levels in load locks correlate to wafer surface counts, device yield and process conditions, but that these levels are considerable higher during production than when dummy wafers are run to qualify a system. It will also be shown how real-time free particle monitoring can be used to monitor and control cleaning cycles, how major episodic events can be detected, and how data can be gathered in a format suitable for statistical process control.

Image/video understanding systems based on network-symbolic models

NASA Astrophysics Data System (ADS)

Kuvich, Gary

2004-03-01

Vision is a part of a larger information system that converts visual information into knowledge structures. These structures drive vision process, resolve ambiguity and uncertainty via feedback projections, and provide image understanding that is an interpretation of visual information in terms of such knowledge models. Computer simulation models are built on the basis of graphs/networks. The ability of human brain to emulate similar graph/network models is found. Symbols, predicates and grammars naturally emerge in such networks, and logic is simply a way of restructuring such models. Brain analyzes an image as a graph-type relational structure created via multilevel hierarchical compression of visual information. Primary areas provide active fusion of image features on a spatial grid-like structure, where nodes are cortical columns. Spatial logic and topology naturally present in such structures. Mid-level vision processes like perceptual grouping, separation of figure from ground, are special kinds of network transformations. They convert primary image structure into the set of more abstract ones, which represent objects and visual scene, making them easy for analysis by higher-level knowledge structures. Higher-level vision phenomena are results of such analysis. Composition of network-symbolic models combines learning, classification, and analogy together with higher-level model-based reasoning into a single framework, and it works similar to frames and agents. Computational intelligence methods transform images into model-based knowledge representation. Based on such principles, an Image/Video Understanding system can convert images into the knowledge models, and resolve uncertainty and ambiguity. This allows creating intelligent computer vision systems for design and manufacturing.

Intercultural Communication as Viewed from the Perspective of Cross-cultural Psychology

NASA Astrophysics Data System (ADS)

Niikura, Ryoko

The encounter with foreign nationals in everyday life calls for not only understanding of the other on the level of recognition but also the ability to cope with the whole spectrum of emotional reactions associated with direct experience of other cultures. Viewing the subject from the perspective of cross-cultural psychology, this paper outlines the course of human information processing that restricts cross-cultural personal acceptance and the psychological process involved in contact with other cultures. Building on this basis, it then discusses the significance of understanding other cultures and examines requirements for communication with people who have different cultural backgrounds. A particular focus is the approach to communication with international students in Japanese universities.

Race Making in a Penal Institution.

PubMed

Walker, Michael L

2016-01-01

This article provides a ground-level investigation into the lives of penal inmates, linking the literature on race making and penal management to provide an understanding of racial formation processes in a modern penal institution. Drawing on 135 days of ethnographic data collected as an inmate in a Southern California county jail system, the author argues that inmates are subjected to two mutually constitutive racial projects--one institutional and the other microinteractional. Operating in symbiosis within a narrative of risk management, these racial projects increase (rather than decrease) incidents of intraracial violence and the potential for interracial violence. These findings have implications for understanding the process of racialization and evaluating the effectiveness of penal management strategies.

Tutorial: Electroporation of cells in complex materials and tissue

NASA Astrophysics Data System (ADS)

Rems, L.; Miklavčič, D.

2016-05-01

Electroporation is being successfully used in biology, medicine, food processing, and biotechnology, and in some environmental applications. Recent applications also include in addition to classical electroporation, where cells are exposed to micro- or milliseconds long pulses, exposures to extremely short nanosecond pulses, i.e., high-frequency electroporation. Electric pulses are applied to cells in different structural configurations ranging from suspended cells to cells in tissues. Understanding electroporation of cells in tissues and other complex environments is a key to its successful use and optimization in various applications. Thus, explanation will be provided theoretically/numerically with relation to experimental observations by scaling our understanding of electroporation from the molecular level of the cell membrane up to the tissue level.

Response of Florida shelf ecosystems to climate change: from macro to micro scales

USGS Publications Warehouse

Robbins, Lisa; Raabe, Ellen

2010-01-01

U.S. Geological Survey (USGS) research in St. Petersburg, Fla., is focusing attention on marine environments of the Florida shelf at three levels, from regional to estuarine to the individual organism. The USGS is partnering on this project with the Florida Department of Agriculture and Consumer Services (DACS), National Oceanic and Atmospheric Administration (NOAA), and the University of South Florida (USF) in marine studies. The specific goals of these combined efforts are an improved understanding of the effects of ocean acidification on regional carbonate processes, changes in individual estuaries, and organism-level response. This understanding will assist in developing appropriate Federal, State, and local management responses to climate change in coastal areas.

Io. [history of studies and current level of understanding of this satellite

NASA Technical Reports Server (NTRS)

Nash, Douglas B.; Yoder, Charles F.; Carr, Michael H.; Gradie, Jonathan; Hunten, Donald M.

1986-01-01

The present work reviews the history of Io studies and describes the current level of understanding of Io's physics, chemistry, geology, orbital dynamics, and geophysics. Consideration is given to the satellite's internal, superficial, atmospheric, plasma, and magnetospheric properties and how they interrelate. A pictorial map of Io's surface based on Voyager 1 and 2 images is presented. It is found that Io's surface color and spectra are dominated by sulfur compounds which may include various sulfur allotropes. Volcanic processes yielding three kinds of surface features (vent regions, plains, and mountains) dominate Io's surface geology. The Io plasma torus corotates with Jupiter's magnetic field in the plane of Jupiter's centrifugal equator centered at Io's orbital radius.

Teaching Climate Change Using System Models: An Understanding Global Change Project Pilot Study

NASA Astrophysics Data System (ADS)

Bean, J. R.; Stuhlsatz, M.; Bracey, Z. B.; Marshall, C. R.

2017-12-01

Teaching and learning about historical and anthropogenic climate change in the classroom requires integrating instructional resources that address physical, chemical, and biological processes. The Understanding Global Change (UGC) framework and system models developed at the University of California Museum of Paleontology (UCMP) provide visualizations of the relationships and feedbacks between Earth system processes, and the consequences of anthropogenic activities on global climate. This schema provides a mechanism for developing pedagogic narratives that are known to support comprehension and retention of information and relationships. We designed a nine-day instructional unit for middle and high school students that includes a sequence of hands-on, inquiry-based, data rich activities combined with conceptual modeling exercises intended to foster students' development of systems thinking and their understanding of human influences on Earth system processes. The pilot unit, Sea Level Rise in the San Francisco Bay Area, addresses the human causes and consequences of sea level rise and related Earth system processes (i.e., the water cycle and greenhouse effect). Most of the content is not Bay Area specific, and could be used to explore sea level rise in any coastal region. Students completed pre and post assessments, which included questions about the connectedness of components of the Earth system and probed their attitudes towards participating in environmental stewardship activities. Students sequentially drew models representing the content explored in the activities and wrote short descriptions of their system diagrams that were collected by teachers for analysis. We also randomly assigned classes to engage in a very short additional intervention that asked students to think about the role that humans play in the Earth system and to draw themselves into the models. The study will determine if these students have higher stewardship scores and more frequently discuss their personal impact on the Earth system in their writing tasks. The results from this pilot will inform the design of future resources using UGC system models.

Deepening our Understanding of Quality in Australia (DUQuA): a study protocol for a nationwide, multilevel analysis of relationships between hospital quality management systems and patient factors

PubMed Central

Taylor, Natalie; Clay-Williams, Robyn; Hogden, Emily; Pye, Victoria; Li, Zhicheng; Groene, Oliver; Suñol, Rosa; Braithwaite, Jeffrey

2015-01-01

Introduction Despite the growing body of research on quality and safety in healthcare, there is little evidence of the association between the way hospitals are organised for quality and patient factors, limiting our understanding of how to effect large-scale change. The ‘Deepening our Understanding of Quality in Australia’ (DUQuA) study aims to measure and examine relationships between (1) organisation and department-level quality management systems (QMS), clinician leadership and culture, and (2) clinical treatment processes, clinical outcomes and patient-reported perceptions of care within Australian hospitals. Methods and analysis The DUQuA project is a national, multilevel, cross-sectional study with data collection at organisation (hospital), department, professional and patient levels. Sample size calculations indicate a minimum of 43 hospitals are required to adequately power the study. To allow for rejection and attrition, 70 hospitals across all Australian jurisdictions that meet the inclusion criteria will be invited to participate. Participants will consist of hospital quality management professionals; clinicians; and patients with stroke, acute myocardial infarction and hip fracture. Organisation and department-level QMS, clinician leadership and culture, patient perceptions of safety, clinical treatment processes, and patient outcomes will be assessed using validated, evidence-based or consensus-based measurement tools. Data analysis will consist of simple correlations, linear and logistic regression and multilevel modelling. Multilevel modelling methods will enable identification of the amount of variation in outcomes attributed to the hospital and department levels, and the factors contributing to this variation. Ethics and dissemination Ethical approval has been obtained. Results will be disseminated to individual hospitals in de-identified national and international benchmarking reports with data-driven recommendations. This ground-breaking national study has the potential to influence decision-making on the implementation of quality and safety systems and processes in Australian and international hospitals. PMID:26644128

A Sensitivity Analysis Method to Study the Behavior of Complex Process-based Models

NASA Astrophysics Data System (ADS)

Brugnach, M.; Neilson, R.; Bolte, J.

2001-12-01

The use of process-based models as a tool for scientific inquiry is becoming increasingly relevant in ecosystem studies. Process-based models are artificial constructs that simulate the system by mechanistically mimicking the functioning of its component processes. Structurally, a process-based model can be characterized, in terms of its processes and the relationships established among them. Each process comprises a set of functional relationships among several model components (e.g., state variables, parameters and input data). While not encoded explicitly, the dynamics of the model emerge from this set of components and interactions organized in terms of processes. It is the task of the modeler to guarantee that the dynamics generated are appropriate and semantically equivalent to the phenomena being modeled. Despite the availability of techniques to characterize and understand model behavior, they do not suffice to completely and easily understand how a complex process-based model operates. For example, sensitivity analysis studies model behavior by determining the rate of change in model output as parameters or input data are varied. One of the problems with this approach is that it considers the model as a "black box", and it focuses on explaining model behavior by analyzing the relationship input-output. Since, these models have a high degree of non-linearity, understanding how the input affects an output can be an extremely difficult task. Operationally, the application of this technique may constitute a challenging task because complex process-based models are generally characterized by a large parameter space. In order to overcome some of these difficulties, we propose a method of sensitivity analysis to be applicable to complex process-based models. This method focuses sensitivity analysis at the process level, and it aims to determine how sensitive the model output is to variations in the processes. Once the processes that exert the major influence in the output are identified, the causes of its variability can be found. Some of the advantages of this approach are that it reduces the dimensionality of the search space, it facilitates the interpretation of the results and it provides information that allows exploration of uncertainty at the process level, and how it might affect model output. We present an example using the vegetation model BIOME-BGC.

Creative brains: designing in the real world†

PubMed Central

Goel, Vinod

2014-01-01

The process of designing artifacts is a creative activity. It is proposed that, at the cognitive level, one key to understanding design creativity is to understand the array of symbol systems designers utilize. These symbol systems range from being vague, imprecise, abstract, ambiguous, and indeterminate (like conceptual sketches), to being very precise, concrete, unambiguous, and determinate (like contract documents). The former types of symbol systems support associative processes that facilitate lateral (or divergent) transformations that broaden the problem space, while the latter types of symbol systems support inference processes facilitating vertical (or convergent) transformations that deepen of the problem space. The process of artifact design requires the judicious application of both lateral and vertical transformations. This leads to a dual mechanism model of design problem-solving comprising of an associative engine and an inference engine. It is further claimed that this dual mechanism model is supported by an interesting hemispheric dissociation in human prefrontal cortex. The associative engine and neural structures that support imprecise, ambiguous, abstract, indeterminate representations are lateralized in the right prefrontal cortex, while the inference engine and neural structures that support precise, unambiguous, determinant representations are lateralized in the left prefrontal cortex. At the brain level, successful design of artifacts requires a delicate balance between the two hemispheres of prefrontal cortex. PMID:24817846

A sense of life: computational and experimental investigations with models of biochemical and evolutionary processes.

PubMed

Mishra, Bud; Daruwala, Raoul-Sam; Zhou, Yi; Ugel, Nadia; Policriti, Alberto; Antoniotti, Marco; Paxia, Salvatore; Rejali, Marc; Rudra, Archisman; Cherepinsky, Vera; Silver, Naomi; Casey, William; Piazza, Carla; Simeoni, Marta; Barbano, Paolo; Spivak, Marina; Feng, Jiawu; Gill, Ofer; Venkatesh, Mysore; Cheng, Fang; Sun, Bing; Ioniata, Iuliana; Anantharaman, Thomas; Hubbard, E Jane Albert; Pnueli, Amir; Harel, David; Chandru, Vijay; Hariharan, Ramesh; Wigler, Michael; Park, Frank; Lin, Shih-Chieh; Lazebnik, Yuri; Winkler, Franz; Cantor, Charles R; Carbone, Alessandra; Gromov, Mikhael

2003-01-01

We collaborate in a research program aimed at creating a rigorous framework, experimental infrastructure, and computational environment for understanding, experimenting with, manipulating, and modifying a diverse set of fundamental biological processes at multiple scales and spatio-temporal modes. The novelty of our research is based on an approach that (i) requires coevolution of experimental science and theoretical techniques and (ii) exploits a certain universality in biology guided by a parsimonious model of evolutionary mechanisms operating at the genomic level and manifesting at the proteomic, transcriptomic, phylogenic, and other higher levels. Our current program in "systems biology" endeavors to marry large-scale biological experiments with the tools to ponder and reason about large, complex, and subtle natural systems. To achieve this ambitious goal, ideas and concepts are combined from many different fields: biological experimentation, applied mathematical modeling, computational reasoning schemes, and large-scale numerical and symbolic simulations. From a biological viewpoint, the basic issues are many: (i) understanding common and shared structural motifs among biological processes; (ii) modeling biological noise due to interactions among a small number of key molecules or loss of synchrony; (iii) explaining the robustness of these systems in spite of such noise; and (iv) cataloging multistatic behavior and adaptation exhibited by many biological processes.

Emerging Food Processing Technologies and Factors Impacting their Industrial Adoption.

PubMed

Priyadarshini, Anushree; Rajauria, Gaurav; O'Donnell, Colm P; Tiwari, Brijesh K

2018-06-04

Innovative food processing technologies have been widely investigated in food processing research in recent years. These technologies offer key advantages for advancing the preservation and quality of conventional foods, for combatting the growing challenges posed by globalization, increased competitive pressures and diverse consumer demands. However, there is a need to increase the level of adoption of novel technologies to ensure the potential benefits of these technologies are exploited more by the food industry. This review outlines emerging thermal and non-thermal food processing technologies with regard to their mechanisms, applications and commercial aspects. The level of adoption of novel food processing technologies by the food industry is outlined and the factors that impact their industrial adoption are discussed. At an industry level, the technological capabilities of individual companies, their size, market share as well as their absorptive capacity impact adoption of a novel technology. Characteristics of the technology itself such as costs involved in its development and commercialization, associated risks and relative advantage, its level of complexity and compatibility influence the technology's adoption. The review concludes that a deep understanding of the development and application of a technology along with the factors influencing its acceptance are critical for its commercial adoption.

The Process of Scientific Inquiry as It Relates to the Creation/Evolution Controversy: I. A Serious Social Problem

ERIC Educational Resources Information Center

Miller, Jon S.; Toth, Ronald

2014-01-01

We describe how the increased level of religiosity in the United States is correlated with the resistance to the teaching of evolution and argue that this is a social, rather than scientific, issue. Our goal is to foster teachers' understanding of the philosophy of biology and encourage them to proactively deal with creationism at all levels,…

Health literacy among Indian adults seeking dental care.

PubMed

D'Cruz, Audrey M; Shankar Aradhya, M R

2013-01-01

Poor literacy can impede one's ability not only to seek out needed health information but also to process, understand and use it to make appropriate health care decisions. The objective of the study was to assess the health literacy among adult patients seeking oral health care at in a private dental hospital in Bangalore, Karnataka, India. A cross sectional questionnaire survey was carried out on 500 subjects. The questionnaire designed by Chew and colleagues (2004) was modified and used as the survey instrument. To be eligible to participate in the study, the participants had to be aged above 18 years and able to read or write English/Kannada (local language). Analysis of variance (ANOVA) and Student's t-test (two tailed, independent) was used to find the significance of study parameters at 95% confidence interval. About 60.4% of the subjects had low health literacy level, 29.4% average and only 10.2% had high health literacy levels. Age and educational qualification had a suggestive significant difference with the mean health literacy scores while gender did not have any significant difference. Subjects who had completed post-graduation (57.8%) too had low health literacy levels. A large number of patients have low levels of health literacy that may interfere with their ability to process and understand basic health information.

Measurement science and manufacturing science research

NASA Technical Reports Server (NTRS)

Phillips, D. Howard

1987-01-01

The research program of Semiconductor Research Corp. is managed as three overlapping areas: Manufacturing Sciences, Design Sciences and Microstructure Sciences. A total of 40 universities are participating in the performance of over 200 research tasks. The goals and direction of Manufacturing Sciences research became more clearly focused through the efforts of the Manufacturing Sciences Committee of the SRC Technical Advisory Board (TAB). The mission of the SRC Manufacturing Research is the quantification, control, and understanding of semiconductor manufacturing process necessary to achieve a predictable and profitable product output in the competitive environment of the next decade. The 1994 integrated circuit factory must demonstrate a three level hierarchy of control: (1) operation control, (2) process control, and (3) process design. These levels of control are briefly discussed.

Generalization of Perceptual Learning of Vocoded Speech

ERIC Educational Resources Information Center

Hervais-Adelman, Alexis G.; Davis, Matthew H.; Johnsrude, Ingrid S.; Taylor, Karen J.; Carlyon, Robert P.

2011-01-01

Recent work demonstrates that learning to understand noise-vocoded (NV) speech alters sublexical perceptual processes but is enhanced by the simultaneous provision of higher-level, phonological, but not lexical content (Hervais-Adelman, Davis, Johnsrude, & Carlyon, 2008), consistent with top-down learning (Davis, Johnsrude, Hervais-Adelman,…

Systems medicine: a new approach to clinical practice.

PubMed

Cardinal-Fernández, Pablo; Nin, Nicolás; Ruíz-Cabello, Jesús; Lorente, José A

2014-10-01

Most respiratory diseases are considered complex diseases as their susceptibility and outcomes are determined by the interaction between host-dependent factors (genetic factors, comorbidities, etc.) and environmental factors (exposure to microorganisms or allergens, treatments received, etc.) The reductionist approach in the study of diseases has been of fundamental importance for the understanding of the different components of a system. Systems biology or systems medicine is a complementary approach aimed at analyzing the interactions between the different components within one organizational level (genome, transcriptome, proteome), and then between the different levels. Systems medicine is currently used for the interpretation and understanding of the pathogenesis and pathophysiology of different diseases, biomarker discovery, design of innovative therapeutic targets, and the drawing up of computational models for different biological processes. In this review we discuss the most relevant concepts of the theory underlying systems medicine, as well as its applications in the various biological processes in humans. Copyright © 2013 SEPAR. Published by Elsevier Espana. All rights reserved.

Exploring the Use of Computer Simulations in Unraveling Research and Development Governance Problems

NASA Technical Reports Server (NTRS)

Balaban, Mariusz A.; Hester, Patrick T.

2012-01-01

Understanding Research and Development (R&D) enterprise relationships and processes at a governance level is not a simple task, but valuable decision-making insight and evaluation capabilities can be gained from their exploration through computer simulations. This paper discusses current Modeling and Simulation (M&S) methods, addressing their applicability to R&D enterprise governance. Specifically, the authors analyze advantages and disadvantages of the four methodologies used most often by M&S practitioners: System Dynamics (SO), Discrete Event Simulation (DES), Agent Based Modeling (ABM), and formal Analytic Methods (AM) for modeling systems at the governance level. Moreover, the paper describes nesting models using a multi-method approach. Guidance is provided to those seeking to employ modeling techniques in an R&D enterprise for the purposes of understanding enterprise governance. Further, an example is modeled and explored for potential insight. The paper concludes with recommendations regarding opportunities for concentration of future work in modeling and simulating R&D governance relationships and processes.

Development and Performance of a Highly Sensitive Model Formulation Based on Torasemide to Enhance Hot-Melt Extrusion Process Understanding and Process Development.

PubMed

Evans, Rachel C; Kyeremateng, Samuel O; Asmus, Lutz; Degenhardt, Matthias; Rosenberg, Joerg; Wagner, Karl G

2018-05-01

The aim of this work was to investigate the use of torasemide as a highly sensitive indicator substance and to develop a formulation thereof for establishing quantitative relationships between hot-melt extrusion process conditions and critical quality attributes (CQAs). Using solid-state characterization techniques and a 10 mm lab-scale co-rotating twin-screw extruder, we studied torasemide in a Soluplus® (SOL)-polyethylene glycol 1500 (PEG 1500) matrix, and developed and characterized a formulation which was used as a process indicator to study thermal- and hydrolysis-induced degradation, as well as residual crystallinity. We found that torasemide first dissolved into the matrix and then degraded. Based on this mechanism, extrudates with measurable levels of degradation and residual crystallinity were produced, depending strongly on the main barrel and die temperature and residence time applied. In addition, we found that 10% w/w PEG 1500 as plasticizer resulted in the widest operating space with the widest range of measurable residual crystallinity and degradant levels. Torasemide as an indicator substance behaves like a challenging-to-process API, only with higher sensitivity and more pronounced effects, e.g., degradation and residual crystallinity. Application of a model formulation containing torasemide will enhance the understanding of the dynamic environment inside an extruder and elucidate the cumulative thermal and hydrolysis effects of the extrusion process. The use of such a formulation will also facilitate rational process development and scaling by establishing clear links between process conditions and CQAs.

Evaluation of alloy 690 process pot at the contact with borosilicate melt pool during vitrification of high-level nuclear waste

NASA Astrophysics Data System (ADS)

Sengupta, Pranesh; Kaushik, C. P.; Kale, G. B.; Das, D.; Raj, K.; Sharma, B. P.

2009-08-01

Understanding the material behaviour under service conditions is essential to enhance the life span of alloy 690 process pot used in vitrification of high-level nuclear waste. During vitrification process, interaction of alloy 690 with borosilicate melt takes place for substantial time period. Present experimental studies show that such interactions may result in Cr carbide precipitation along grain boundaries, Cr depletion in austenitic matrix and intergranular attack close to alloy 690/borosilicate melt pool interfaces. Widths of Cr depleted zone within alloy 690 is found to follow kinetics of the type x = 10.9 × 10 -6 + 1 × 10 -8t1/2 m. Based on the experimental results it is recommended that compositional modification of alloy 690 process pot adjacent to borosilicate melt pool need to be considered seriously for any efforts towards reduction and/or prevention of process pot failures.

The challenge of understanding the brain: where we stand in 2015

PubMed Central

Lisman, John

2015-01-01

Starting with the work of Cajal more than 100 years ago, neuroscience has sought to understand how the cells of the brain give rise to cognitive functions. How far has neuroscience progressed in this endeavor? This Perspective assesses progress in elucidating five basic brain processes: visual recognition, long-term memory, short-term memory, action selection, and motor control. Each of these processes entails several levels of analysis: the behavioral properties, the underlying computational algorithm, and the cellular/network mechanisms that implement that algorithm. At this juncture, while many questions remain unanswered, achievements in several areas of research have made it possible to relate specific properties of brain networks to cognitive functions. What has been learned reveals, at least in rough outline, how cognitive processes can be an emergent property of neurons and their connections. PMID:25996132

Tree regeneration by seed in bottomland hardwood forests: A review

USGS Publications Warehouse

Kroschel, Whitney A.; King, Sammy L.; Keim, Richard F.

2016-01-01

Bottomland hardwood forests (BLH) are found in temperate, humid regions of the southeastern US, primarily on alluvial floodplains adjacent to rivers. Altered hydrology in rivers and floodplains has caused changes in stand development and species composition of BLHs. We hypothesize that the driving mechanisms behind these changes are related to the regeneration process because of the complexity of recruitment and the vulnerability of species at that age in development. Here we review the state of our understanding regarding BLH regeneration, and identify potential bottlenecks throughout the stages of seed production, seed dispersal, germination, establishment, and survival. Our process-level understanding of regeneration by seed in BLHs is rudimentary, thus limiting our ability to predict the effects of hydrologic alterations on species composition. By focusing future research on the appropriate stages of regeneration, we can better understand the sources of forest-community transitions across the diverse range of BLH systems.

Understanding the mechanism of catalytic fast pyrolysis by unveiling reactive intermediates in heterogeneous catalysis

NASA Astrophysics Data System (ADS)

Hemberger, Patrick; Custodis, Victoria B. F.; Bodi, Andras; Gerber, Thomas; van Bokhoven, Jeroen A.

2017-06-01

Catalytic fast pyrolysis is a promising way to convert lignin into fine chemicals and fuels, but current approaches lack selectivity and yield unsatisfactory conversion. Understanding the pyrolysis reaction mechanism at the molecular level may help to make this sustainable process more economic. Reactive intermediates are responsible for product branching and hold the key to unveiling these mechanisms, but are notoriously difficult to detect isomer-selectively. Here, we investigate the catalytic pyrolysis of guaiacol, a lignin model compound, using photoelectron photoion coincidence spectroscopy with synchrotron radiation, which allows for isomer-selective detection of reactive intermediates. In combination with ambient pressure pyrolysis, we identify fulvenone as the central reactive intermediate, generated by catalytic demethylation to catechol and subsequent dehydration. The fulvenone ketene is responsible for the phenol formation. This technique may open unique opportunities for isomer-resolved probing in catalysis, and holds the potential for achieving a mechanistic understanding of complex, real-life catalytic processes.

Technical Efficiency and Organ Transplant Performance: A Mixed-Method Approach

PubMed Central

de-Pablos-Heredero, Carmen; Fernández-Renedo, Carlos; Medina-Merodio, Jose-Amelio

2015-01-01

Mixed methods research is interesting to understand complex processes. Organ transplants are complex processes in need of improved final performance in times of budgetary restrictions. As the main objective a mixed method approach is used in this article to quantify the technical efficiency and the excellence achieved in organ transplant systems and to prove the influence of organizational structures and internal processes in the observed technical efficiency. The results show that it is possible to implement mechanisms for the measurement of the different components by making use of quantitative and qualitative methodologies. The analysis show a positive relationship between the levels related to the Baldrige indicators and the observed technical efficiency in the donation and transplant units of the 11 analyzed hospitals. Therefore it is possible to conclude that high levels in the Baldrige indexes are a necessary condition to reach an increased level of the service offered. PMID:25950653

Emerging Imaging and Genomic Tools for Developmental Systems Biology.

PubMed

Liu, Zhe; Keller, Philipp J

2016-03-21

Animal development is a complex and dynamic process orchestrated by exquisitely timed cell lineage commitment, divisions, migration, and morphological changes at the single-cell level. In the past decade, extensive genetic, stem cell, and genomic studies provided crucial insights into molecular underpinnings and the functional importance of genetic pathways governing various cellular differentiation processes. However, it is still largely unknown how the precise coordination of these pathways is achieved at the whole-organism level and how the highly regulated spatiotemporal choreography of development is established in turn. Here, we discuss the latest technological advances in imaging and single-cell genomics that hold great promise for advancing our understanding of this intricate process. We propose an integrated approach that combines such methods to quantitatively decipher in vivo cellular dynamic behaviors and their underlying molecular mechanisms at the systems level with single-cell, single-molecule resolution. Copyright © 2016 Elsevier Inc. All rights reserved.

Predictors of early survival in Soay sheep: cohort-, maternal- and individual-level variation

PubMed Central

Jones, Owen R; Crawley, Michael J; Pilkington, Jill G; Pemberton, Josephine M

2005-01-01

A demographic understanding of population dynamics requires an appreciation of the processes influencing survival—a demographic rate influenced by parameters varying at the individual, maternal and cohort level. There have been few attempts to partition the variance in demography contributed by each of these parameter types. Here, we use data from a feral population of Soay sheep (Ovis aries), from the island of St Kilda, to explore the relative importance of these parameter types on early survival. We demonstrate that the importance of variation occurring at the level of the individual, and maternally, far outweighs that occurring at the cohort level. The most important variables within the individual and maternal levels were birth weight and maternal age class, respectively. This work underlines the importance of using individual based models in ecological demography and we, therefore, caution against studies that focus solely on population processes. PMID:16321784

Organizational factors, planning capacity, and integration challenges constrain provincial planning processes for nutrition in decentralizing Vietnam.

PubMed

Lapping, Karin; Frongillo, Edward A; Nguyen, Phuong H; Coates, Jennifer; Webb, Patrick; Menon, Purnima

2014-09-01

Translating national policies and guidelines into effective action at the subnational level (e.g., province or region) is a prerequisite for ensuring an impact on nutrition. In several countries, including Vietnam, the focus of this paper, this process is affected by the quality of the decentralized process of planning and action. This study examined how provincial planning processes for nutrition occurred in Vietnam during 2009 and 2010. Key goals were to understand variability in processes across provinces, identify factors that influenced the process, and assess the usefulness of the process for individuals involved in planning and action. A qualitative case-study methodology was used. Data were drawn from interviews with 51 government officials in eight provinces. The study found little variability in the planning process among these eight provinces, probably due to a planning process that was predominantly a fiscal exercise within the confines of a largely centralized structure. Respondents were almost unanimous about the main barriers: a top-down approach to planning, limited human capacity for effective planning at subnational levels, and difficulty in integrating actions from multiple sectors. Provincial-level actors were deeply dissatisfied with the nature of their role in the process. Despite the rhetoric to the contrary, too much power is probably still retained at the central level. A strategic multiyear approach is needed to strengthen the provincial planning process and address many of the key barriers identified in this study.

Immobilized enzymes: understanding enzyme - surface interactions at the molecular level.

PubMed

Hoarau, Marie; Badieyan, Somayesadat; Marsh, E Neil G

2017-11-22

Enzymes immobilized on solid supports have important and industrial and medical applications. However, their uses are limited by the significant reductions in activity and stability that often accompany the immobilization process. Here we review recent advances in our understanding of the molecular level interactions between proteins and supporting surfaces that contribute to changes in stability and activity. This understanding has been facilitated by the application of various surface-sensitive spectroscopic techniques that allow the structure and orientation of enzymes at the solid/liquid interface to be probed, often with monolayer sensitivity. An appreciation of the molecular interactions between enzyme and surface support has allowed the surface chemistry and method of enzyme attachement to be fine-tuned such that activity and stability can be greatly enhanced. These advances suggest that a much wider variety of enzymes may eventually be amenable to immobilization as green catalysts.

KSC-02pd2052

NASA Image and Video Library

2002-10-25

KENNEDY SPACE CENTER, FLA. - The Ice, Cloud, and Land Elevation Satellite, or ICESat, undergoes final processing before launch. ICESat is a 661-pound satellite known as Geoscience Laser Altimeter System (GLAS) that will revolutionize our understanding of ice and its role in global climate change and how we protect and understand our home planet. It will help scientists determine if the global sea level is rising or falling. It will look at the ice sheets that blanket the Earth's poles to see if they are growing or shrinking. It will assist in developing an understanding of how changes in the Earth's atmosphere and climate effect polar ice masses and global sea level. ICESat is scheduled for launch, with the Cosmic Hot Interstellar Plasma Spectrometer or CHIPSat, on a Delta II expendable launch vehicle from Vandenberg Air Force Base, Calif., on Jan. 11, 2003, between 4:45 p.m. - 5:30 p.m. PST.

KSC-02pd2051

NASA Image and Video Library

2002-10-25

KENNEDY SPACE CENTER, FLA. - The Ice, Cloud, and Land Elevation Satellite, or ICESat, undergoes final processing before launch. ICESat is a 661-pound satellite known as Geoscience Laser Altimeter System (GLAS) that will revolutionize our understanding of ice and its role in global climate change and how we protect and understand our home planet. It will help scientists determine if the global sea level is rising or falling. It will look at the ice sheets that blanket the Earth's poles to see if they are growing or shrinking. It will assist in developing an understanding of how changes in the Earth's atmosphere and climate effect polar ice masses and global sea level. ICESat is scheduled for launch, with the Cosmic Hot Interstellar Plasma Spectrometer or CHIPSat, on a Delta II expendable launch vehicle from Vandenberg Air Force Base, Calif., on Jan. 11, 2003, between 4:45 p.m. - 5:30 p.m. PST.

Mass spectrometry based proteomics: existing capabilities and future directions

PubMed Central

Angel, Thomas E.; Aryal, Uma K.; Hengel, Shawna M.; Baker, Erin S.; Kelly, Ryan T.; Robinson, Errol W.; Smith, Richard D.

2012-01-01

Mass spectrometry (MS)-based proteomics is emerging as a broadly effective means for identification, characterization, and quantification of proteins that are integral components of the processes essential for life. Characterization of proteins at the proteome and sub-proteome (e.g., the phosphoproteome, proteoglycome, or degradome/peptidome) levels provides a foundation for understanding fundamental aspects of biology. Emerging technologies such as ion mobility separations coupled with MS and microchip-based-proteome measurements combined with MS instrumentation and chromatographic separation techniques, such as nanoscale reversed phase liquid chromatography and capillary electrophoresis, show great promise for both broad undirected and targeted highly sensitive measurements. MS-based proteomics is increasingly contribute to our understanding of the dynamics, interactions, and roles that proteins and peptides play, advancing our understanding of biology on a systems wide level for a wide range of applications including investigations of microbial communities, bioremediation, and human health. PMID:22498958

Macro-evolutionary studies of cultural diversity: a review of empirical studies of cultural transmission and cultural adaptation.

PubMed

Mace, Ruth; Jordan, Fiona M

2011-02-12

A growing body of theoretical and empirical research has examined cultural transmission and adaptive cultural behaviour at the individual, within-group level. However, relatively few studies have tried to examine proximate transmission or test ultimate adaptive hypotheses about behavioural or cultural diversity at a between-societies macro-level. In both the history of anthropology and in present-day work, a common approach to examining adaptive behaviour at the macro-level has been through correlating various cultural traits with features of ecology. We discuss some difficulties with simple ecological associations, and then review cultural phylogenetic studies that have attempted to go beyond correlations to understand the underlying cultural evolutionary processes. We conclude with an example of a phylogenetically controlled approach to understanding proximate transmission pathways in Austronesian cultural diversity.

Macro-evolutionary studies of cultural diversity: a review of empirical studies of cultural transmission and cultural adaptation

PubMed Central

Mace, Ruth; Jordan, Fiona M.

2011-01-01

A growing body of theoretical and empirical research has examined cultural transmission and adaptive cultural behaviour at the individual, within-group level. However, relatively few studies have tried to examine proximate transmission or test ultimate adaptive hypotheses about behavioural or cultural diversity at a between-societies macro-level. In both the history of anthropology and in present-day work, a common approach to examining adaptive behaviour at the macro-level has been through correlating various cultural traits with features of ecology. We discuss some difficulties with simple ecological associations, and then review cultural phylogenetic studies that have attempted to go beyond correlations to understand the underlying cultural evolutionary processes. We conclude with an example of a phylogenetically controlled approach to understanding proximate transmission pathways in Austronesian cultural diversity. PMID:21199844

Moisture-temperature degradation in module encapsulants: The general problem of moisture in photovoltaic encapsulants

NASA Technical Reports Server (NTRS)

Mon, G. R.

1985-01-01

A general research approach was outlined toward understanding water-module interactions and the influence of temperature involving the need to: quantify module performance loss versus level of accumulated degradation, establish the dependence of the degradation reaction rate on module moisture and temperature levels, and determine module moisture and temperature levels in field environments. These elements were illustrated with examples drawn from studies of the now relatively well understood module electrochemical degradation process. Research data presented include temperature and humidity-dependent equilibrium leakage current values for multiparameter module material and design configurations. The contributions of surface, volume, and interfacial conductivities was demonstrated. Research directions were suggested to more fully understand the contributions to overall module conductivity of surface, volume, and interfacial conductivities over ranges of temperature and relative humidity characteristic of field environments.

TOXICOKINETICS OF CHIRAL POLYCHLORINATED BIPHENYLS ACROSS DIFFERENT SPECIES—A REVIEW

PubMed Central

Kania-Korwel, Izabela; Lehmler, Hans-Joachim

2015-01-01

Nineteen PCBs (chiral or C-PCBs) exist as two stable rotational isomers (atropisomers) that are non-superimposable mirror images of each other. C-PCBs are released into the environment as racemic (i.e., equal) mixtures of both atropisomers and undergo atropisomeric enrichment due to biological, but not abiotic processes. In particular toxicokinetic studies provide important, initial insights into atropselective processes involved in the disposition (i.e., absorption, distribution, biotransformation and excretion) of C-PCBs. The toxicokinetic of C-PCBs is highly congener and species dependent. In particular at lower trophic levels, abiotic processes play a predominant role in C-PCB toxicokinetics. Biotransformation plays an important role in the elimination of C-PCBs in mammals. The elimination of C-PCB follows the approximate order mammals > birds > amphibians > fish, mostly due to a corresponding decrease in metabolic capacity. A few studies have shown differences in the toxicokinetics of C-PCB atropisomers; however, more work in needed to understand the toxicokinetics of C-PCBs and the underlying biological processes. Such studies will not only contribute to our understanding of the fate of C-PCBs in aquatic and terrestrial food webs, but also facilitate our understanding of human exposures to C-PCBs. PMID:25824003

Content-Related Interactions in Self-initiated Study Groups

NASA Astrophysics Data System (ADS)

Christian, Karen; Talanquer, Vicente

2012-09-01

The central goal of the present exploratory study was to investigate the nature of the content-related interactions in study groups independently organized by college organic chemistry students. We were particularly interested in the identification of the different factors that affected the emergence of opportunities for students to co-construct understanding and engage in higher levels of cognitive processing. Our results are based on the analysis of in situ observations of 34 self-initiated study sessions involving over a 100 students in three academic semesters. The investigation revealed three major types of social regulation processes, teaching, tutoring, and co-construction in the observed study sessions. However, the extent to which students engaged in each of them varied widely from one session to another. This variability was mostly determined by the specific composition of the study groups and the nature of the study tasks in which they were engaged. Decisions about how to organize the study session, the relative content knowledge and conceptual understanding expressed by the participants, as well as the cognitive level of the problems that guided group work had a strong impact on the nature of student interactions. Nevertheless, group talk in the observed study groups was mostly focused on low-level cognitive processes. The results of our work provide insights on how to better support students' productive engagement in study groups.

Neural Correlates of Subliminal Language Processing

PubMed Central

Axelrod, Vadim; Bar, Moshe; Rees, Geraint; Yovel, Galit

2015-01-01

Language is a high-level cognitive function, so exploring the neural correlates of unconscious language processing is essential for understanding the limits of unconscious processing in general. The results of several functional magnetic resonance imaging studies have suggested that unconscious lexical and semantic processing is confined to the posterior temporal lobe, without involvement of the frontal lobe—the regions that are indispensable for conscious language processing. However, previous studies employed a similarly designed masked priming paradigm with briefly presented single and contextually unrelated words. It is thus possible, that the stimulation level was insufficiently strong to be detected in the high-level frontal regions. Here, in a high-resolution fMRI and multivariate pattern analysis study we explored the neural correlates of subliminal language processing using a novel paradigm, where written meaningful sentences were suppressed from awareness for extended duration using continuous flash suppression. We found that subjectively and objectively invisible meaningful sentences and unpronounceable nonwords could be discriminated not only in the left posterior superior temporal sulcus (STS), but critically, also in the left middle frontal gyrus. We conclude that frontal lobes play a role in unconscious language processing and that activation of the frontal lobes per se might not be sufficient for achieving conscious awareness. PMID:24557638

Assessing the microbiomes of scalder and chiller tank waters throughout a typical commercial poultry processing day.

PubMed

Rothrock, M J; Locatelli, A; Glenn, T C; Thomas, J C; Caudill, A C; Kiepper, B H; Hiett, K L

2016-10-01

The commercial poultry processing environment plays a significant role in reducing foodborne pathogens and spoilage organisms from poultry products prior to being supplied to consumers. While understanding the microbiological quality of these products is essential, little is known about the microbiota of processing water tanks within the processing plant. Therefore, the goal of this study was to assess the microbiomes of the scalder and chiller tanks during a typical commercial processing d, and determine how bacterial populations, including foodborne pathogens and spoilage organisms, change during the processing day in relation to the bacterial communities as a whole. Additionally, considering this is the first microbiomic analysis of processing tank waters, 2 water sampling methods also were compared. Results of this study show that Proteobacteria and Firmicutes represented over half of the sequences recovered from both tanks at the phylum level, but the microbiomic profiles needed to be analyzed at the genus level to observe more dynamic population shifts. Bacteria known to predominate in the live production environment were found to increase in the scalder tank and gram negative spoilage-related bacteria were found to decrease in the chiller tank throughout the processing day. Directly sampling the scalder water, as compared to analyzing filtered samples, resulted in significantly different microbiomic profiles dominated by Anoxybacillus species. While no sequences related to major foodborne pathogens were found, further sampling collection and processing optimization should provide researchers and the poultry industry a new tool to understand the ecological role of spoilage and pathogenic bacteria within processing tank waters. Published by Oxford University Press on behalf of Poultry Science Association 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Using Multiple Representations to Resolve Conflict in Student Conceptual Understanding of Chemistry

NASA Astrophysics Data System (ADS)

Daubenmire, Paul L.

Much like a practiced linguist, expert chemists utilize the power and elegance of chemical symbols to understand what is happening at the atomic level and to manipulate atoms and molecules to effect an observable change at the macroscopic level. Unfortunately, beginning chemistry is often taught in a way that emphasizes memorizing the symbolic representations of equations and reactions without much opportunity to meaningfully connect the observable macroscopic phenomena with an understanding of the chemistry taking place at the atomic level. The compartmentalized manner of chemistry instruction in most chemistry classrooms further nullifies the efficacy of the triplet relationship to connect between macroscopic observations, symbolic representations, and atomic scale views. If symbolic representations are presented as the goal of instruction, rather than as the means to gain understanding, then students will be impaired in developing a coherent understanding of chemical principles. This dissertation describes the development and implementation of an interview study to examine how undergraduate students interpreted multiple representations of a chemical equilibrium. To establish a baseline of ideas, students first were coached to verbally generate successive representations. They were then cued to think about the chemistry occurring between atoms and ions at the molecular level. Next, an experiment involving a change in states of matter and color was performed which paralleled the symbolic representations. Through self-explanations and verbalizing of conjectures, students were encouraged to explore, interpret, and refine their understanding of the observations related to the chemical symbols presented to them. Finally, with the goal of fostering a deeper understanding of the process of equilibrium, a dynamic visualization of the molecular level was introduced as a tool for helping students connect these multiple representations. This study revealed that one way in which students develop conceptual understanding and resolve conflicts between different representations of the same phenomena is by verbalizing their ideas as a conjecture (as a verbal explanation to advance towards a hypothesis). Thus, it is proposed that symbolic representations are most effective viewed not as an end goal but as a bridge for connecting macroscopic, visible phenomena with what is occurring at the molecular, invisible level. When the focus on merely memorizing chemical equations and symbols is removed, students can gain a coherent understanding of the meaning available when multiple representations are viewed together.

Moments in Time

PubMed Central

Wittmann, Marc

2011-01-01

It has been suggested that perception and action can be understood as evolving in temporal epochs or sequential processing units. Successive events are fused into units forming a unitary experience or “psychological present.” Studies have identified several temporal integration levels on different time scales which are fundamental for our understanding of behavior and subjective experience. In recent literature concerning the philosophy and neuroscience of consciousness these separate temporal processing levels are not always precisely distinguished. Therefore, empirical evidence from psychophysics and neuropsychology on these distinct temporal processing levels is presented and discussed within philosophical conceptualizations of time experience. On an elementary level, one can identify a functional moment, a basic temporal building block of perception in the range of milliseconds that defines simultaneity and succession. Below a certain threshold temporal order is not perceived, individual events are processed as co-temporal. On a second level, an experienced moment, which is based on temporal integration of up to a few seconds, has been reported in many qualitatively different experiments in perception and action. It has been suggested that this segmental processing mechanism creates temporal windows that provide a logistical basis for conscious representation and the experience of nowness. On a third level of integration, continuity of experience is enabled by working memory in the range of multiple seconds allowing the maintenance of cognitive operations and emotional feelings, leading to mental presence, a temporal window of an individual’s experienced presence. PMID:22022310

Brain signal variability as a window into the bidirectionality between music and language processing: moving from a linear to a nonlinear model

PubMed Central

Hutka, Stefanie; Bidelman, Gavin M.; Moreno, Sylvain

2013-01-01

There is convincing empirical evidence for bidirectional transfer between music and language, such that experience in either domain can improve mental processes required by the other. This music-language relationship has been studied using linear models (e.g., comparing mean neural activity) that conceptualize brain activity as a static entity. The linear approach limits how we can understand the brain’s processing of music and language because the brain is a nonlinear system. Furthermore, there is evidence that the networks supporting music and language processing interact in a nonlinear manner. We therefore posit that the neural processing and transfer between the domains of language and music are best viewed through the lens of a nonlinear framework. Nonlinear analysis of neurophysiological activity may yield new insight into the commonalities, differences, and bidirectionality between these two cognitive domains not measurable in the local output of a cortical patch. We thus propose a novel application of brain signal variability (BSV) analysis, based on mutual information and signal entropy, to better understand the bidirectionality of music-to-language transfer in the context of a nonlinear framework. This approach will extend current methods by offering a nuanced, network-level understanding of the brain complexity involved in music-language transfer. PMID:24454295

Brain signal variability as a window into the bidirectionality between music and language processing: moving from a linear to a nonlinear model.

PubMed

Hutka, Stefanie; Bidelman, Gavin M; Moreno, Sylvain

2013-12-30

There is convincing empirical evidence for bidirectional transfer between music and language, such that experience in either domain can improve mental processes required by the other. This music-language relationship has been studied using linear models (e.g., comparing mean neural activity) that conceptualize brain activity as a static entity. The linear approach limits how we can understand the brain's processing of music and language because the brain is a nonlinear system. Furthermore, there is evidence that the networks supporting music and language processing interact in a nonlinear manner. We therefore posit that the neural processing and transfer between the domains of language and music are best viewed through the lens of a nonlinear framework. Nonlinear analysis of neurophysiological activity may yield new insight into the commonalities, differences, and bidirectionality between these two cognitive domains not measurable in the local output of a cortical patch. We thus propose a novel application of brain signal variability (BSV) analysis, based on mutual information and signal entropy, to better understand the bidirectionality of music-to-language transfer in the context of a nonlinear framework. This approach will extend current methods by offering a nuanced, network-level understanding of the brain complexity involved in music-language transfer.

Neuroscience Evidence for Economic Humanism in Management Science: Organizational Implications and Strategy.

PubMed

Lattanzi, Nicola; Menicagli, Dario; Dal Maso, Lorenzo

2016-04-01

Globalization phenomena and Information Communication Technology (ICT) are producing deep changes worldwide. The economic environment and society where firms both cooperate and compete with each other are rapidly changing leading firms towards recognizing the role of intangible resources as a source of fresh competitive advantage. Experience, innovation and the ability to create new knowledge completely arise from the act of human resources inviting firms to focus on how to generate and shape knowledge. Therefore, the future of firms depends greatly on how managers are able to explore and exploit human resources. However, without a clear understanding of the nature of human beings and the complexity behind human interactions, we cannot understand the theory of organizational knowledge creation. Thus, how can firms discover, manage and valorize this "human advantage"? Neuroscience can increase the understanding of how cognitive and emotional processes work; in doing so, we may be able to better understand how individuals involved in a business organization make decisions and how external factors influence their behavior, especially in terms of commitment activation and engagement level. In this respect, a neuroscientific approach to business can support managers in decision-making processes. In a scenario where economic humanism plays a central role in the process of fostering firms' competitiveness and emerging strategies, we believe that a neuroscience approach in a business organization could be a valid source of value and inspiration for manager decision-making processes.

Mixing and diffusion in a two-type population.

PubMed

Izquierdo, Segismundo S; Izquierdo, Luis R; López-Pintado, Dunia

2018-02-01

The outbreak of epidemics, the rise of religious radicalization or the motivational influence of fellow students in classrooms are some of the issues that can be described as diffusion processes in heterogeneous groups. Understanding the role that interaction patterns between groups (e.g. homophily or segregation) play in the diffusion of certain traits or behaviours is a major challenge for contemporary societies. Here, we study the impact on diffusion processes of mixing (or, alternatively, segregating) two groups that present different sensitivities or propensities to contagion. We find non-monotonic effects of mixing and inefficient segregation levels, i.e. situations where a change in the mixing level can benefit both groups, e.g. where an increase in the mixing level can reduce the expected contagion levels in both groups. These findings can have fundamental consequences for the design of inclusion policies.

Mixing and diffusion in a two-type population

PubMed Central

López-Pintado, Dunia

2018-01-01

The outbreak of epidemics, the rise of religious radicalization or the motivational influence of fellow students in classrooms are some of the issues that can be described as diffusion processes in heterogeneous groups. Understanding the role that interaction patterns between groups (e.g. homophily or segregation) play in the diffusion of certain traits or behaviours is a major challenge for contemporary societies. Here, we study the impact on diffusion processes of mixing (or, alternatively, segregating) two groups that present different sensitivities or propensities to contagion. We find non-monotonic effects of mixing and inefficient segregation levels, i.e. situations where a change in the mixing level can benefit both groups, e.g. where an increase in the mixing level can reduce the expected contagion levels in both groups. These findings can have fundamental consequences for the design of inclusion policies. PMID:29515903

Understanding spatial variability in extreme estuarine water levels to inform better coastal management practise.

NASA Astrophysics Data System (ADS)

Lyddon, Charlotte; Plater, Andy, ,, Prof.; Brown, Jenny, ,, Dr.; Leonardi, Nicoletta, ,, Dr.

2017-04-01

Coastal zones worldwide are subject to short term, local variations in sea-level, particularly communities and industries developed on estuaries. Astronomical high tides, meteorological storm surges and increased river flow present a combined flood hazard. This can elevate water level at the coast above predicted levels, generating extreme water levels. These contributions can also interact to alter the phase and amplitude of tides and surges, and thus cause significant mismatches between the predicted and observed water level. The combined effect of tide, surge, river flow and their interactions are the key to understanding and assessing flood risk in estuarine environments for design purposes. Delft3D-FLOW, a hydrodynamic model which solves the unsteady shallow-water equation, is used to access spatial variability in extreme water levels for a range of historical events of different severity within the Severn Estuary, southwest England. Long-term tide gauge records from Ilfracombe and Mumbles and river level data from Sandhurst are analysed to generate a series of extreme water level events, representing the 90th, 95th and 99th percentile conditions, to force the model boundaries. To separate out the time-varying contributions of tidal, fluvial, meteorological processes and their interactions the model is run with different physical forcing. A low pass filter is applied to "de-tide" the residual water elevation, to separate out the time-varying meteorological residual and the tide-surge interactions within the surge. The filtered surge is recombined with the predicted tide so the peak occurs at different times relative to high water. The resulting time series are used to force the model boundary to identify how the interactive processes influence the timing of extreme water level across the estuarine domain. This methodology is first validated using the most extreme event on record to ensure that modelled extreme water levels can be predicted with confidence. Changes in maximum water level are observed in areas where nuclear assets are located (Hinkley, Oldbury & Berkeley) and further upstream, e.g., close to the tidal limit of the Severn Estuary at Epney. Change in crest shape (area and duration above the MSHW) are analysed to understand changes to flood hazard around the peak of the tide. The work concludes that changes in maximum water level can be attributed to the change in time of the peak of the surge relative to high water, the surge shape (classified by skew and kurtosis) and severity of the event. The results can be used to understand the spatial variability in extreme water levels relative to a tide gauge location, which can then be applied to other management needs in hypertidal estuaries worldwide.

They do, They Get and They Know; How to Motivate Learner to Upgrade Their Learning Quality

NASA Astrophysics Data System (ADS)

Yogica, R.; Helendra, H.

2018-04-01

A learning process that occurs in the classroom is a very important thing to note the quality, so it can be a determinant of student success in understanding the content of the lesson. The success of the learning process could be seen from the learning outcomes and the level of positive activities of students while in class. Students who are active in the classroom at the time of learning happen mean interest to the content of the lesson and will make their understanding deeper. In some learning processes in the classroom, the authors observed that in the first weeks of learning the level of student activity was very low. This is due to low student learning motivation. The author applies a method named: they do, they get, and they know. This method is very influential on the increase of learning activities because it affects the psychology of students to improve their learning motivation. After study in this method at two different courses in university, authors make a conclusion in the end that the method is effective to increase the frequency of student positive activity, so this method plays a role in improving the quality of learning.

Conceptualizing Child Health Disparities: A Role for Developmental Neurogenomics

PubMed Central

Francis, Darlene D.

2010-01-01

Biological, psychological, and social processes interact over a lifetime to influence health and vulnerability to disease. Those interested in studying and understanding how and why racial/ethnic and social disparities emerge need to focus on the intersection of these processes. Recent work exploring molecular epigenetic mechanisms of gene expression (in humans as well and other mammalian systems) has provided evidence demonstrating that the genome is subject to regulation by surrounding contexts (eg, cytoplasmic, cellular, organismic, social). The developing stress axis is exquisitely sensitive to regulation by social forces represented at the level of the epigenome. Old assumptions about an inert genome are simply incorrect. Epigenetic processes may provide the missing link that will allow us to understand how social and political conditions, along with individual subjective experiences, can directly alter gene expression and thereby contribute to observed social inequalities in health. Developmental neurogenomics may provide the direct link between the biological and social/psychological worlds. These biological mechanisms of plasticity (at the level of gene expression and regulation) may play a profound role in how we conceptualize health inequalities by informing our concepts regarding the somatization or embodiment of social inequalities. PMID:19861470

Vision-based system for the control and measurement of wastewater flow rate in sewer systems.

PubMed

Nguyen, L S; Schaeli, B; Sage, D; Kayal, S; Jeanbourquin, D; Barry, D A; Rossi, L

2009-01-01

Combined sewer overflows and stormwater discharges represent an important source of contamination to the environment. However, the harsh environment inside sewers and particular hydraulic conditions during rain events reduce the reliability of traditional flow measurement probes. In the following, we present and evaluate an in situ system for the monitoring of water flow in sewers based on video images. This paper focuses on the measurement of the water level based on image-processing techniques. The developed image-based water level algorithms identify the wall/water interface from sewer images and measure its position with respect to real world coordinates. A web-based user interface and a 3-tier system architecture enable the remote configuration of the cameras and the image-processing algorithms. Images acquired and processed by our system were found to reliably measure water levels and thereby to provide crucial information leading to better understand particular hydraulic behaviors. In terms of robustness and accuracy, the water level algorithm provided equal or better results compared to traditional water level probes in three different in situ configurations.

Monitoring and Predicting the Export and Fate of Global Ocean Net Primary Production: The EXPORTS Field Program

NASA Astrophysics Data System (ADS)

Exports Science Definition Team

2016-04-01

Ocean ecosystems play a critical role in the Earth's carbon cycle and its quantification on global scales remains one of the greatest challenges in global ocean biogeochemistry. The goal of the EXport Processes in the Ocean from Remote Sensing (EXPORTS) science plan is to develop a predictive understanding of the export and fate of global ocean primary production and its implications for the Earth's carbon cycle in present and future climates. NASA's satellite ocean-color data record has revolutionized our understanding of global marine systems. EXPORTS is designed to advance the utility of NASA ocean color assets to predict how changes in ocean primary production will impact the global carbon cycle. EXPORTS will create a predictive understanding of both the export of organic carbon from the euphotic zone and its fate in the underlying "twilight zone" (depths of 500 m or more) where variable fractions of exported organic carbon are respired back to CO2. Ultimately, it is the sequestration of deep organic carbon transport that defines the impact of ocean biota on atmospheric CO2 levels and hence climate. EXPORTS will generate a new, detailed understanding of ocean carbon transport processes and pathways linking upper ocean phytoplankton processes to the export and fate of organic matter in the underlying twilight zone using a combination of field campaigns, remote sensing and numerical modeling. The overarching objective for EXPORTS is to ensure the success of future satellite missions by establishing mechanistic relationships between remotely sensed signals and carbon cycle processes. Through a process-oriented approach, EXPORTS will foster new insights on ocean carbon cycling that will maximize its societal relevance and be a key component in the U.S. investment to understand Earth as an integrated system.

Learning from catchments to understand hydrological drought (HS Division Outstanding ECS Award Lecture)

NASA Astrophysics Data System (ADS)

Van Loon, Anne

2017-04-01

Drought is a global challenge. To be able to manage drought effectively on global or national scales without losing smaller scale variability and local context, we need to understand what the important hydrological drought processes are at different scales. Global scale models and satellite data are providing a global overview and catchment scale studies provide detailed site-specific information. I am interested in bridging these two scale levels by learning from catchments from around the world. Much information from local case studies is currently underused on larger scales because there is too much complexity. However, some of this complexity might be crucial on the level where people are facing the consequences of drought. In this talk, I will take you on a journey around the world to unlock catchment scale information and see if the comparison of many catchments gives us additional understanding of hydrological drought processes on the global scale. I will focus on the role of storage in different compartments of the terrestrial hydrological cycle, and how we as humans interact with that storage. I will discuss aspects of spatial and temporal variability in storage that are crucial for hydrological drought development and persistence, drawing from examples of catchments with storage in groundwater, lakes and wetlands, and snow and ice. The added complexity of human activities shifts the focus from natural to catchments with anthropogenic increases in storage (reservoirs), decreases in storage (groundwater abstraction), and changes in hydrological processes (urbanisation). We learn how local information is providing valuable insights, in some cases challenging theoretical understanding or model outcomes. Despite the challenges of working across countries, with a high number of collaborators, in a multitude of languages, under data-scarce conditions, the scientific advantages of bridging scales are substantial. The comparison of catchments around the world can inform global scale models, give the needed spatial variability to satellite data, and help us make steps in understanding and managing the complex challenge of drought, now and in the future.

Challenges and opportunities in social neuroscience

PubMed Central

Cacioppo, John T.; Decety, Jean

2010-01-01

Social species are so characterized because they form organizations that extend beyond the individual. The goal of social neuroscience is to investigate the biological mechanisms that underlie these social structures, processes, and behavior and the influences between social and neural structures and processes. Such an endeavor is challenging because it necessitates the integration of multiple levels. Mapping across systems and levels (from genome to social groups and cultures) requires interdisciplinary expertise, comparative studies, innovative methods, and integrative conceptual analysis. Examples of how social neuroscience is contributing to our understanding of the functions of the brain and nervous system are described, and societal implications of social neuroscience are considered. PMID:21251011

Good Morning from Barrow, Alaska! Helping K-12 students understand the importance of research

NASA Astrophysics Data System (ADS)

Shelton, M.

2010-12-01

This presentation focuses on how an educator experiences scientific research and how those experiences can help foster K-12 students’ understanding of research being conducted in Barrow, Alaska. According to Zhang and Fulford (1994), real-time electronic field trips help to provide a sense of closeness and relevance. In combination with experts in the field, the electronic experience can help students to better understand the phenomenon being studied, thus strengthening the student’s conceptual knowledge (Zhang & Fulford, 1994). During a seven day research trip to study the arctic sea ice, five rural Virginia teachers and their students participated in Skype sessions with the participating educator and other members of the Radford University research team. The students were able to view the current conditions in Barrow, listen to members of the research team describe what their contributions were to the research, and ask questions about the research and Alaska in general. Collaborations between students and scientist can have long lasting benefits for both educators and students in promoting an understanding of the research process and understanding why our world is changing. By using multimedia venues such as Skype students are able to interact with researchers both visually and verbally, forming the basis for students’ interest in science. A learner’s level of engagement is affected by the use of multimedia, especially the level of cognitive processing. Visual images alone do no promote the development of good problem solving skills. However, the students are able to develop better problem solving skills when both visual images and verbal interactions are used together. As students form higher confidence levels by improving their ability to problem solve, their interest in science also increases. It is possible that this interest could turn into a passion for science, which could result in more students wanting to become scientists or science teachers.

Air Pollutant Emissions from Oil and Gas Production pads (Investigating Low Cost Passive Samplers)

EPA Science Inventory

To help achieve the goal of sustainable, environmentally responsible development of oil and gas resources, it isnecessary to understand the potential for air pollutant emissions from various extraction and production (E&P)processes at the upstream, wellpad level. Upstream oil and...

Examining Expertise Using Interviews and Verbal Protocols

ERIC Educational Resources Information Center

van de Wiel, Margje W. J.

2017-01-01

To understand expertise and expertise development, interactions between knowledge, cognitive processing and task characteristics must be examined in people at different levels of training, experience, and performance. Interviewing is widely used in the initial exploration of domain expertise. Work and cognitive task analysis chart the knowledge,…

Promoting Different Reading Comprehension Levels through Online Annotations

ERIC Educational Resources Information Center

Tseng, Sheng-Shiang; Yeh, Hui-Chin; Yang, Shih-hsien

2015-01-01

Previous studies have evaluated reading comprehension as the general understanding of reading texts. However, this broad and generic assessment of reading comprehension overlooks the specific aspects and processes that students need to develop. This study adopted Kintsch's Construction-Integration model to tap into reading comprehension at…

Bilingual Enhancements Have No Socioeconomic Boundaries

ERIC Educational Resources Information Center

Krizman, Jennifer; Skoe, Erika; Kraus, Nina

2016-01-01

To understand how socioeconomic status (SES) and bilingualism simultaneously operate on cognitive and sensory function, we examined executive control, language skills, and neural processing of sound in adolescents who differed in language experience (i.e. English monolingual or Spanish-English bilingual) and level of maternal education (a proxy…

Psychosynthesis Workbook

ERIC Educational Resources Information Center

Vargiu, James; And Others

1977-01-01

Psychosynthesis is a name for the process of personal growth: our natural tendency to harmonize our various aspects at even higher levels of organization. This section considers the many subpersonalities that compose each one of us. It gives exercises in discovering them, understanding them, and getting free from their control. (Author/BP)

DEFINING THE MANDATE OF PROTEOMICS IN THE POST-GENOMIC ERA: WORKSHOP REPORT

EPA Science Inventory

Research in proteomics is the next step after genomics in understanding life processes at the molecular level. In the largest sense proteomics encompasses knowledge of the structure, function and expression of all proteins in the biochemical or biological contexts of all organism...

Defense in Depth: Foundation for Secure and Resilient IT Enterprises

DTIC Science & Technology

2006-09-01

Quantifying risk means understanding the possibility of the risk existing or coming to fruition. Here the home user attempts to measure the...Management Process of assessing and quantifying risk and establishing an acceptable level of risk for the organization Risk can be mitigated, but

Work(er)-Driven Innovation

ERIC Educational Resources Information Center

Smith, Raymond

2017-01-01

Purpose: The focus on innovation as a foundational element of enhanced organisational performance has led to the promoting and valuing of greater levels of employee participation in innovation processes. An emergent concept of employee-driven innovation could be argued to have hindered understandings of the creative and transformative nature of…

Methylmercury in Marine Ecosystems: Spatial Patterns and Processes of Production, Bioaccumulation, and Biomagnification

EPA Science Inventory

The spatial variation of MeHg production, bioaccumulation and biomagnification in marine food webs is poorly characterized but critical to understanding the links between sources and higher trophic levels such as fish that are ultimately vectors of human and wildlife exposure. Th...

Genetic associations with micronutrient levels identified in immune and gastrointestinal networks

USDA-ARS?s Scientific Manuscript database

The discovery of vitamins and clarification of their role in preventing frank essential nutrient deficiencies occurred in the early 1900s. Much vitamin research has understandably focused on public health and the effects of single nutrients to alleviate acute conditions. The physiological processes ...

Science Learning: Processes and Applications.

ERIC Educational Resources Information Center

Santa, Carol Minnick, Ed.; Alvermann, Donna E., Ed.

Reflecting a collaboration in terms of content areas, levels, and audience, this volume represents the efforts of science teachers and reading teachers to understand and help one another fine tune their craft. Chapters in the volume include: (1) "Metacognition, Reading and Science Education" (Linda Baker); (2) "Science and Reading:…

Energy Transfer to Upper Trophic Levels on a Small Offshore Bank

DTIC Science & Technology

2007-01-01

that generate feeding “ hotspots ” is essential to understanding their temporal variability, and whether good feeding conditions are limited by bottom...processes influencing patterns of biodiversity in the oceans) and with NOAA agency interests in the conservation of marine mammal populations. This

Understanding the degradation of ascorbic acid and glutathione in relation to the levels of oxidative stress biomarkers in broccoli (Brassica oleracea L. italica cv. Bellstar) during storage and mechanical processing.

PubMed

Raseetha, Siva; Leong, Sze Ying; Burritt, David John; Oey, Indrawati

2013-06-01

The purpose of this research was to understand the degradation of ascorbic acid and glutathione content in broccoli florets (Brassica oleracea L. italica cv. Bellstar) during prolonged storage and subsequent mechanical processing. The initial content of total ascorbic acid and glutathione in broccoli florets averaged at 5.18 ± 0.23 and 0.70 ± 0.03 μmol/g fresh weight, respectively. Results showed that the content of ascorbic acid and glutathione in broccoli degraded during storage at 23°C, for at least 4.5-fold after 6 days of storage. On each day of storage, broccoli florets were mechanically processed, but the content of total ascorbic acid and glutathione was not significantly affected. When the mechanically processed broccoli florets were further incubated for up to 6h, the amount of ascorbic acid was greatly reduced as compared to glutathione. To obtain an in-depth understanding on the degradation of ascorbic acid and glutathione, the activity of enzymes involved in plant antioxidative system via ascorbate-glutathione cycle, as a response towards oxidative stress that took place during storage was determined in this study. The content of total ascorbic acid and glutathione in broccoli florets before and after mechanical processing were found to decrease concurrently with the activity of ascorbic acid peroxidase and glutathione reductase over the experimental storage duration. Meanwhile, the effect of oxidative stress on the content of ascorbic acid and glutathione was apparent during the 6h of incubation after mechanical processing. This phenomenon was demonstrated by the level of oxidative stress biomarkers examined, in which the formation of lipid peroxides, protein carbonyls and DNA oxidised products was positively associated with the degradation of total ascorbic acid and glutathione. Copyright © 2012 Elsevier Ltd. All rights reserved.

Understanding the cancer cell phenotype beyond the limitations of current omics analyses.

PubMed

Moreno-Sánchez, Rafael; Saavedra, Emma; Gallardo-Pérez, Juan Carlos; Rumjanek, Franklin D; Rodríguez-Enríquez, Sara

2016-01-01

Efforts to understand the mechanistic principles driving cancer metabolism and proliferation have been lately governed by genomic, transcriptomic and proteomic studies. This paper analyzes the caveats of these approaches. As molecular biology's central dogma proposes a unidirectional flux of information from genes to mRNA to proteins, it has frequently been assumed that monitoring the changes in the gene sequences and in mRNA and protein contents is sufficient to explain complex cellular processes. Such a stance commonly disregards that post-translational modifications can alter the protein function/activity and also that regulatory mechanisms enter into action, to coordinate the protein activities of pathways/cellular processes, in order to keep the cellular homeostasis. Hence, the actual protein activities (as enzymes/transporters/receptors) and their regulatory mechanisms ultimately dictate the final outcomes of a pathway/cellular process. In this regard, it is here documented that the mRNA levels of many metabolic enzymes and transcriptional factors have no correlation with the respective protein contents and activities. The validity of current clinical mRNA-based tests and proposed metabolite biomarkers for cancer detection/prognosis is also discussed. Therefore, it is proposed that, to achieve a thorough understanding of the modifications undergone by proliferating cancer cells, it is mandatory to experimentally analyze the cellular processes at the functional level. This could be achieved (a) locally, by examining the actual protein activities in the cell and their kinetic properties (or at least kinetically characterize the most controlling steps of the pathway/cellular process); (b) systemically, by analyzing the main fluxes of the pathway/cellular process, and how they are modulated by metabolites, all which should contribute to comprehending the regulatory mechanisms that have been altered in cancer cells. By adopting a more holistic approach it may become possible to improve the design of therapeutic strategies that would target cancer cells more specifically. © 2015 FEBS.

Global-scale Ionospheric Outflow: Major Processes and Unresolved Problems

NASA Astrophysics Data System (ADS)

Liemohn, M. W.; Welling, D. T.; Ilie, R.; Khazanov, G. V.; Jahn, J. M.; Zou, S.; Ganushkina, N. Y.; Valek, P. W.; Elliott, H. A.; Gilchrist, B. E.; Hoegy, W. R.; Glocer, A.

2016-12-01

Outflow from the ionosphere is a major source of plasma to the magnetosphere. Its presence, especially that of ions heavier than He+, mass loads the magnetosphere and changes reconnection rates, current system configurations, plasma wave excitation and wave-particle interactions. It even impacts the propagation of information. We present a brief overview of the major processes and scientific history of this field. There are still major gaps, however, in our understanding of the global-scale nature of ionospheric outflow. We discuss these unresolved problems highlighting the leading questions still outstanding on this topic. First and foremost, since the measurements of ionospheric outflow have largely come from individual satellites and sounding rockets, the processes are best known on the local level, while the spatial distribution of outflow has never been simultaneously measured on more global scales. The spatial coherence and correlation of outflow across time and space have not been quantified. Furthermore, the composition of the outflow is often only measured at a coarse level of H+, He+, and O+, neglecting other species such as N+ or moleculars. However, resolving O+ from N+, as is customary in planetary research, aids in revealing the physics and altitude dependence of the energization processes in the ionosphere. Similarly, fine-resolution velocity space measurements of ionospheric outflow have been limited, yet such observations can also reveal energization processes driving the outflow. A final unresolved issue to mention is magnetically conjugate outflow and the full extent of hemispherically asymmetric outflow fluxes or fluence. Each of these open questions have substantial ramifications for magnetospheric physics; their resolution could yield sweeping changes in our understanding of nonlinear feedback and cross-scale physical interactions, magnetosphere-ionosphere coupling, and geospace system-level science.

Analysis of mathematical problem-solving ability based on metacognition on problem-based learning

NASA Astrophysics Data System (ADS)

Mulyono; Hadiyanti, R.

2018-03-01

Problem-solving is the primary purpose of the mathematics curriculum. Problem-solving abilities influenced beliefs and metacognition. Metacognition as superordinate capabilities can direct, regulate cognition and motivation and then problem-solving processes. This study aims to (1) test and analyzes the quality of problem-based learning and (2) investigate the problem-solving capabilities based on metacognition. This research uses mixed method study with The subject research are class XI students of Mathematics and Science at High School Kesatrian 2 Semarang which divided into tacit use, aware use, strategic use and reflective use level. The collecting data using scale, interviews, and tests. The data processed with the proportion of test, t-test, and paired samples t-test. The result shows that the students with levels tacit use were able to complete the whole matter given, but do not understand what and why a strategy is used. Students with aware use level were able to solve the problem, be able to build new knowledge through problem-solving to the indicators, understand the problem, determine the strategies used, although not right. Students on the Strategic ladder Use can be applied and adopt a wide variety of appropriate strategies to solve the issues and achieved re-examine indicators of process and outcome. The student with reflective use level is not found in this study. Based on the results suggested that study about the identification of metacognition in problem-solving so that the characteristics of each level of metacognition more clearly in a more significant sampling. Teachers need to know in depth about the student metacognitive activity and its relationship with mathematical problem solving and another problem resolution.

Neurodevelopmental correlates of proneness to guilt and shame in adolescence and early adulthood.

PubMed

Whittle, Sarah; Liu, Kirra; Bastin, Coralie; Harrison, Ben J; Davey, Christopher G

2016-06-01

Investigating how brain development during adolescence and early adulthood underlies guilt- and shame-proneness may be important for understanding risk processes for mental disorders. The aim of this study was to investigate the neurodevelopmental correlates of interpersonal guilt- and shame-proneness in healthy adolescents and young adults using structural magnetic resonance imaging (sMRI). Sixty participants (age range: 15-25) completed sMRI and self-report measures of interpersonal guilt- and shame-proneness. Independent of interpersonal guilt, higher levels of shame-proneness were associated with thinner posterior cingulate cortex (PCC) thickness and smaller amygdala volume. Higher levels of shame-proneness were also associated with attenuated age-related reductions in thickness of lateral orbitofrontal cortex (lOFC). Our findings highlight the complexities in understanding brain-behavior relationships during the adolescent/young adult period. Results were consistent with growing evidence that accelerated cortical thinning during adolescence may be associated with superior socioemotional functioning. Further research is required to understand the implications of these findings for mental disorders characterized by higher levels of guilt and shame. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

An active learning approach to Bloom's Taxonomy.

PubMed

Weigel, Fred K; Bonica, Mark

2014-01-01

As educators strive toward improving student learning outcomes, many find it difficult to instill their students with a deep understanding of the material the instructors share. One challenge lies in how to provide the material with a meaningful and engaging method that maximizes student understanding and synthesis. By following a simple strategy involving Active Learning across the 3 primary domains of Bloom's Taxonomy (cognitive, affective, and psychomotor), instructors can dramatically improve the quality of the lesson and help students retain and understand the information. By applying our strategy, instructors can engage their students at a deeper level and may even find themselves enjoying the process more.

Impurity rejection in the crystallization of ABT-510 as a method to establish starting material specifications.

PubMed

Tolle, John C; Becker, Calvin L; Califano, Jean C; Chang, Jane L; Gernhardt, Kevin; Napier, James J; Wittenberger, Steven J; Yuan, Judy

2009-01-01

Understanding impurity rejection in a drug substance crystallization process is valuable for establishing purity specifications for the starting materials used in the process. Impurity rejection has been determined for all known ABT-510 impurities and for many of the reasonable & conceivable impurities. Based on this study, a very high purity specification (e.g., > 99.7%) can be set for ABT-510 with a high level of confidence.

A mini-overview of single muscle fibre mechanics: the effects of age, inactivity and exercise in animals and humans.

PubMed

Jee, Hyunseok; Kim, Jong-Hee

2017-09-05

Many basic movements of living organisms are dependent on muscle function. Muscle function allows for the coordination and harmonious integrity of movement that is necessary for various biological processes. Gross and fine motor skills are both regulated at the micro-level (single muscle fibre level), controlled by neuronal regulation, and it is therefore important to understand muscle function at both micro- and macro-levels to understand the overall movement of living organisms. Single muscle mechanics and the cellular environment of muscles fundamentally allow for the harmonious movement of our bodies. Indeed, a clear understanding of the functionality of muscle at the micro-level is indispensable for explaining muscular function at the macro-(whole gross muscle) level. By investigating single muscle fibre mechanics, we can also learn how other factors such Ca2+ kinetics, enzyme activity and contractile proteins can contribute to muscle mechanics at the micro- and macro-levels. Further, we can also describe how aging affects the capacity of skeletal muscle cells, as well as how exercise can prevent aging-based sarcopenia and frailty. The purpose of this review is to introduce and summarise the current knowledge of single muscle fibre mechanics in light of aging and inactivity. We then describe how exercise mitigates negative muscle adaptations that occur under those circumstances. In addition, single muscle fibre mechanics in both animal and human models are discussed.

Multi-scale heat and mass transfer modelling of cell and tissue cryopreservation

PubMed Central

Xu, Feng; Moon, Sangjun; Zhang, Xiaohui; Shao, Lei; Song, Young Seok; Demirci, Utkan

2010-01-01

Cells and tissues undergo complex physical processes during cryopreservation. Understanding the underlying physical phenomena is critical to improve current cryopreservation methods and to develop new techniques. Here, we describe multi-scale approaches for modelling cell and tissue cryopreservation including heat transfer at macroscale level, crystallization, cell volume change and mass transport across cell membranes at microscale level. These multi-scale approaches allow us to study cell and tissue cryopreservation. PMID:20047939

Gulf War Illnesses: Understanding of Health Effects From Depleted Uranium Evolving But Safety Training Needed

DTIC Science & Technology

2000-03-01

against enemy munitions. Depleted uranium is a low- level radioactive heavy metal , and concerns have surfaced about whether exposure to it could be a...radioactive heavy metal , the potential for health effects are twofold: effects from radiation and effects from chemical toxicity. Two recent expert...depleted uranium safety training. Background Depleted uranium (DU), a low-level radioactive heavy metal , is a by- product of the process used to

Building more effective sea level rise models for coastal management

NASA Astrophysics Data System (ADS)

Kidwell, D.; Buckel, C.; Collini, R.; Meckley, T.

2017-12-01

For over a decade, increased attention on coastal resilience and adaptation to sea level rise has resulted in a proliferation of predictive models and tools. This proliferation has enhanced our understanding of our vulnerability to sea level rise, but has also led to stakeholder fatigue in trying to realize the value of each advancement. These models vary in type and complexity ranging from GIS-based bathtub viewers to modeling systems that dynamically couple complex biophysical and geomorphic processes. These approaches and capabilities typically have the common purpose using scenarios of global and regional sea level change to inform adaptation and mitigation. In addition, stakeholders are often presented a plethora of options to address sea level rise issues from a variety of agencies, academics, and consulting firms. All of this can result in confusion, misapplication of a specific model/tool, and stakeholder feedback of "no more new science or tools, just help me understand which one to use". Concerns from stakeholders have led to the question; how do we move forward with sea level rise modeling? This presentation will provide a synthesis of the experiences and feedback derived from NOAA's Ecological Effects of Sea level Rise (EESLR) program to discuss the future of predictive sea level rise impact modeling. EESLR is an applied research program focused on the advancement of dynamic modeling capabilities in collaboration with local and regional stakeholders. Key concerns from stakeholder engagement include questions about model uncertainty, approaches for model validation, and a lack of cross-model comparisons. Effective communication of model/tool products, capabilities, and results is paramount to address these concerns. Looking forward, the most effective predictions of sea level rise impacts on our coast will be attained through a focus on coupled modeling systems, particularly those that connect natural processes and human response.

Deliberation and Scale in Mekong Region Water Governance

NASA Astrophysics Data System (ADS)

Dore, John; Lebel, Louis

2010-07-01

Understanding the politics of deliberation, scales, and levels is crucial to understanding the social complexity of water-related governance. Deliberative processes might complement and inform more conventional representational and bureaucratic approaches to planning and decision-making. However, they are also subject to scale and level politics, which can confound institutionalized decision-making. Scale and level contests arise in dialogues and related arenas because different actors privilege particular temporal or spatial scales and levels in their analysis, arguments, and responses. Scale contests might include whether to privilege administrative, hydrological, ecosystem, or economic boundaries. Level contests might include whether to privilege the subdistrict or the province, the tributary watershed or the international river basin, a river or a biogeographic region, and the local or the regional economy. In the Mekong Region there is a recurrent demand for water resources development projects and major policies proposed by governments and investors to be scrutinized in public. Deliberative forms of engagement are potentially very helpful because they encourage supporters and critics to articulate assumptions and reasoning about the different opportunities and risks associated with alternative options, and in doing so, they often traverse and enable higher-quality conversations within and across scales and within and between levels. Six case studies from the Mekong Region are examined. We find evidence that scale and level politics affects the context, process, content, and outcomes of deliberative engagement in a region where public deliberation is still far from being a norm, particularly where there are sensitive and far-reaching choices to be made about water use and energy production.

Deliberation and scale in Mekong region water governance.

PubMed

Dore, John; Lebel, Louis

2010-07-01

Understanding the politics of deliberation, scales, and levels is crucial to understanding the social complexity of water-related governance. Deliberative processes might complement and inform more conventional representational and bureaucratic approaches to planning and decision-making. However, they are also subject to scale and level politics, which can confound institutionalized decision-making. Scale and level contests arise in dialogues and related arenas because different actors privilege particular temporal or spatial scales and levels in their analysis, arguments, and responses. Scale contests might include whether to privilege administrative, hydrological, ecosystem, or economic boundaries. Level contests might include whether to privilege the subdistrict or the province, the tributary watershed or the international river basin, a river or a biogeographic region, and the local or the regional economy. In the Mekong Region there is a recurrent demand for water resources development projects and major policies proposed by governments and investors to be scrutinized in public. Deliberative forms of engagement are potentially very helpful because they encourage supporters and critics to articulate assumptions and reasoning about the different opportunities and risks associated with alternative options, and in doing so, they often traverse and enable higher-quality conversations within and across scales and within and between levels. Six case studies from the Mekong Region are examined. We find evidence that scale and level politics affects the context, process, content, and outcomes of deliberative engagement in a region where public deliberation is still far from being a norm, particularly where there are sensitive and far-reaching choices to be made about water use and energy production.

Size-Class Effect Contributes to Tree Species Assembly through Influencing Dispersal in Tropical Forests

PubMed Central

Hu, Yue-Hua; Kitching, Roger L.; Lan, Guo-Yu; Zhang, Jiao-Lin; Sha, Li-Qing; Cao, Min

2014-01-01

We have investigated the processes of community assembly using size classes of trees. Specifically our work examined (1) whether point process models incorporating an effect of size-class produce more realistic summary outcomes than do models without this effect; (2) which of three selected models incorporating, respectively environmental effects, dispersal and the joint-effect of both of these, is most useful in explaining species-area relationships (SARs) and point dispersion patterns. For this evaluation we used tree species data from the 50-ha forest dynamics plot in Barro Colorado Island, Panama and the comparable 20 ha plot at Bubeng, Southwest China. Our results demonstrated that incorporating an size-class effect dramatically improved the SAR estimation at both the plots when the dispersal only model was used. The joint effect model produced similar improvement but only for the 50-ha plot in Panama. The point patterns results were not improved by incorporation of size-class effects using any of the three models. Our results indicate that dispersal is likely to be a key process determining both SARs and point patterns. The environment-only model and joint-effects model were effective at the species level and the community level, respectively. We conclude that it is critical to use multiple summary characteristics when modelling spatial patterns at the species and community levels if a comprehensive understanding of the ecological processes that shape species’ distributions is sought; without this results may have inherent biases. By influencing dispersal, the effect of size-class contributes to species assembly and enhances our understanding of species coexistence. PMID:25251538

The political ecology of lead poisoning in eastern North Carolina.

PubMed

Hanchette, Carol L

2008-06-01

In the United States, childhood blood lead levels have dropped substantially since 1991, when the Centers for Disease Control and Prevention (CDC) implemented new screening guidelines. Many states, including North Carolina, have established successful screening and intervention programs. Still, pockets of higher lead poisoning rates continue to be a problem in some geographic areas. One of these areas consists of several counties in eastern North Carolina. This cluster of higher rates cannot be explained by poverty and housing characteristics alone. Instead, the explanation requires an understanding of place that encompasses a range of historical, social, political, and economic processes. This paper utilizes a political ecology approach to provide a deeper understanding of how these processes can contribute to ill health.

Molecular-level understanding of the carbonisation of polysaccharides.

PubMed

Shuttleworth, Peter S; Budarin, Vitaliy; White, Robin J; Gun'ko, Vladimir M; Luque, Rafael; Clark, James H

2013-07-08

Understanding of both the textural and functionality changes occurring during (mesoporous) polysaccharide carbonisation at the molecular level provides a deeper insight into the whole spectrum of material properties, from chemical activity to pore shape and surface energy, which is crucial for the successful application of carbonaceous materials in adsorption, catalysis and chromatography. Obtained information will help to identify the most appropriate applications of the carbonaceous material generated during torrefaction and different types of pyrolysis processes and therefore will be important for the development of cost- and energy-efficient zero-waste biorefineries. The presented approach is informative and semi-quantitative with the potential to be extended to the formation of other biomass-derived carbonaceous materials. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

KSC-02pd2031

NASA Image and Video Library

2002-10-23

KENNEDY SPACE CENTER, FLA. - The first stage of the Delta II rocket is in the process of being raised to a vertical position on NASA's Space Launch Complex 2 (SLC-2) at Vandenberg Air Force Base, Calif. The rocket will carry the ICESat and CHIPSat satellites into Earth orbits. ICESat is a 661-pound satellite known as Geoscience Laser Altimeter System (GLAS) that will revolutionize our understanding of ice and its role in global climate change and how we protect and understand our home planet. It will help scientists determine if the global sea level is rising or falling. It will look at the ice sheets that blanket the Earth's poles to see if they are growing or shrinking. It will assist in developing an understanding of how changes in the Earth's atmosphere and climate effect polar ice masses and global sea level. CHIPSat, a suitcase-size 131-pound satellite, will provide invaluable information into the origin, physical processes and properties of the hot gas contained in the interstellar medium. This can provide important clues about the formation and evolution of galaxies since the interstellar medium literally contains the seeds of future stars. The Delta II launch is scheduled for Jan. 11 between 4:45 p.m. - 5:30 p.m. PST.

An evaluation of HACCP implementation status in UK small and medium enterprises in food manufacturing.

PubMed

Fielding, L M; Ellis, L; Beveridge, C; Peters, A C

2005-04-01

To reduce foodborne illnesses, hazard and risk-based quality management systems are essential. Small and medium sized companies (SMEs) tend to have a poor understanding of such systems and limited adoption of the Hazard Analysis Critical Control Point system (HACCP). The requirement for full HACCP implementation by 2006 will place an even greater burden on these businesses. The aim of this project is to assess the current levels of understanding of hazards and risks in SMEs in the manufacturing sector. A questionnaire survey was made of 850 SMEs, including microbusinesses. This determined the industry sector and processes carried out, whether the company operated hazard-based quality management and the knowledge of the technical manager regarding the associated hazards and risks. Follow-up visits to the manufacturing plant observed the processes and the operatives to determine their level of understanding. A benchmarking audit was carried out and each company was rated. The results show that the majority of respondents stated that they operated hazard analysis-based quality management. The ability of the respondents to correctly define a hazard or risk or identify different types of hazard was, however, poor. There was no correlation between business type and audit score. The microbusinesses did, however, perform significantly less well than the larger SMEs.

Multitasking-Pascal extensions solve concurrency problems

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

Mackie, P.H.

1982-09-29

To avoid deadlock (one process waiting for a resource than another process can't release) and indefinite postponement (one process being continually denied a resource request) in a multitasking-system application, it is possible to use a high-level development language with built-in concurrency handlers. Parallel Pascal is one such language; it extends standard Pascal via special task synchronizers: a new data type called signal, new system procedures called wait and send and a Boolean function termed awaited. To understand the language's use the author examines the problems it helps solve.

Language learning impairments: integrating basic science, technology, and remediation.

PubMed

Tallal, P; Merzenich, M M; Miller, S; Jenkins, W

1998-11-01

One of the fundamental goals of the modern field of neuroscience is to understand how neuronal activity gives rise to higher cortical function. However, to bridge the gap between neurobiology and behavior, we must understand higher cortical functions at the behavioral level at least as well as we have come to understand neurobiological processes at the cellular and molecular levels. This is certainly the case in the study of speech processing, where critical studies of behavioral dysfunction have provided key insights into the basic neurobiological mechanisms relevant to speech perception and production. Much of this progress derives from a detailed analysis of the sensory, perceptual, cognitive, and motor abilities of children who fail to acquire speech, language, and reading skills normally within the context of otherwise normal development. Current research now shows that a dysfunction in normal phonological processing, which is critical to the development of oral and written language, may derive, at least in part, from difficulties in perceiving and producing basic sensory-motor information in rapid succession--within tens of ms (see Tallal et al. 1993a for a review). There is now substantial evidence supporting the hypothesis that basic temporal integration processes play a fundamental role in establishing neural representations for the units of speech (phonemes), which must be segmented from the (continuous) speech stream and combined to form words, in order for the normal development of oral and written language to proceed. Results from magnetic resonance imaging (MRI) and positron emission tomography (PET) studies, as well as studies of behavioral performance in normal and language impaired children and adults, will be reviewed to support the view that the integration of rapidly changing successive acoustic events plays a primary role in phonological development and disorders. Finally, remediation studies based on this research, coupled with neuroplasticity research, will be presented.

Transcriptional profiling of resistant and susceptible buffalograsses in response to Blissus occiduus (Hemiptera: Blissidae) feeding

USDA-ARS?s Scientific Manuscript database

Understanding plant resistance mechanisms at a molecular level would provide valuable insights into the biological pathways impacted by insect feeding, and help explain specific plant tolerance mechanisms. As a first step in this process, we conducted next generation sequencing using RNA extracted f...

In the Zone: Vygotskian-Inspired Pedagogy for Sustainability

ERIC Educational Resources Information Center

Armstrong, Cosette

2015-01-01

In this study, Lev Vygotsky's (1978) Zone of Proximal Development (ZPD) provides inspiration for a teaching approach for sustainability in a social science discipline, where students often lack or have widely varied levels of foundational understanding. This qualitative case study describes intellectual processes and aspects of the educational…

Planning: Complex Endeavors

DTIC Science & Technology

2007-04-01

Figure 18: Achieving Self- Synchronization ................................154 Figure 19: Planning Maturity Model...and to leverage, shared awareness and understanding. Planning, a process that creates the necessary conditions for synchronizing actions and effects...cen- tric thinking holds that self- synchronization requires some level of shared awareness.6 In this case, that means cross-domain awareness as well

Reading Bombelli's x-purgated Algebra.

ERIC Educational Resources Information Center

Arcavi, Abraham; Bruckheimer, Maxim

1991-01-01

Presents the algorithm to approximate square roots as reproduced from the 1579 edition of an algebra book by Rafael Bombelli. The sequence of activities illustrates that the process of understanding an original source of mathematics, first at the algorithmic level and then with respect to its mathematical validity in modern terms, can be an…

Disgust: Evolved Function and Structure

ERIC Educational Resources Information Center

Tybur, Joshua M.; Lieberman, Debra; Kurzban, Robert; DeScioli, Peter

2013-01-01

Interest in and research on disgust has surged over the past few decades. The field, however, still lacks a coherent theoretical framework for understanding the evolved function or functions of disgust. Here we present such a framework, emphasizing 2 levels of analysis: that of evolved function and that of information processing. Although there is…

The Contribution of Momentary Perspectives to Entrepreneurial Learning and Creativity

ERIC Educational Resources Information Center

Rae, David

2013-01-01

This article explores how conceptualizing "the moment" in entrepreneurship contributes to understanding entrepreneurial processes of learning and creativity. The significance of "the aha moment" in entrepreneurial behaviour is widely used at a popular level but has not been well explored in relation to knowledge of human…

Taking Part: An Elementary Curriculum in the Participation Series.

ERIC Educational Resources Information Center

Klubock, Dorothy, Ed.; And Others

One of a series of teacher-developed curriculum guides intended to encourage active student participation and involvement in important social issues, this elementary level guide provides children with an age-appropriate understanding of the process of political elections. Students are encouraged to become aware of what is happening around them…

Co-Constructing an Understanding of Creativity in Drama Education that Draws on Neuropsychological Concepts

ERIC Educational Resources Information Center

Howard-Jones, Paul A.; Winfield, M.; Crimmins, G.

2008-01-01

Background: Neuroscience is unlikely to produce findings for immediate application in the classroom. The educational significance and practical implications of knowledge about mind and brain inevitably require some level of interpretation, yet the multiplying examples of unscientific "brain-based" educational concepts suggest this process of…

SPATIAL AND TEMPORAL DYNAMICS IN ARSENIC SPECIATION ACROSS THE GROUND WATER-SURFACE WATER TRANSITION ZONE AT A CONTAMINATED SITE

EPA Science Inventory

Field investigations have been conducted to understand the fate of arsenic in contaminated ground water during discharge into a small lake. The ground-water plume contains elevated levels of arsenic and hydrocarbon contaminants derived from historical disposal of process wastes ...

Riparian forest effects on nitrogen export to an agricultural stream inferred from experimental data and a model

EPA Science Inventory

The effects of riparian vegetation on the reduction of agricultural nitrogen export to streams have been well described experimentally, but a clear understanding of process-level hydrological and biogeochemical controls can be difficult to ascertain from data alone. We apply a ne...

Identifying green infrastructure BMPs for reducing nitrogen export to a Chesapeake Bay agricultural stream: model synthesis and extension of experimental data

EPA Science Inventory

Background/Question/Methods The effectiveness of riparian forest buffers and other green infrastructure for reducing nitrogen export to agricultural streams has been well described experimentally, but a clear understanding of process-level hydrological and biogeochemical control...

Teacher-Child Interactions in Infant/Toddler Child Care and Socioemotional Development

ERIC Educational Resources Information Center

Mortensen, Jennifer A.; Barnett, Melissa A.

2015-01-01

Research Findings: The teacher-child relationships that develop in infant/toddler child care provide a critical caregiving context for young children's socioemotional development. However, gaps remain in researchers' understanding of the individual-level processes that facilitate socioemotional development, specifically in center-based…

Institutional Ethnography: A Holistic Approach to Understanding Systems

ERIC Educational Resources Information Center

Wright, Ursula T.; Rocco, Tonette S.

2016-01-01

This paper introduces institutional ethnography (IE) as a useful and systematic process for examining organizations and work data through the lens of stakeholders, at different levels, and considering the different forces at play. Drawing from ethnomethodology, IE focuses on how everyday experience is socially organized. Ideological shifts have…

32 CFR 286.36 - Responsibility and purpose.

Code of Federal Regulations, 2010 CFR

2010-07-01

... should be focused toward those personnel who are involved in the day-to-day processing of FOIA requests... purpose of the educational and training programs is to promote a positive attitude among DoD personnel and raise the level of understanding and appreciation of the DoD FOIA Program, thereby improving the...

An Affirmative Approach to Vocabulary Development.

ERIC Educational Resources Information Center

Shioji, Jean

Methods for second language vocabulary development in the intermediate and advanced level English classroom are described. Rather than require students to memorize lists of words, the teacher should give students a better understanding of the process of vocabulary development by showing them how to refine their use of new lexical items and implant…

Perfectly Reasonable in a Practical World: Understanding Chemistry Teacher Responses to a Change Proposal

ERIC Educational Resources Information Center

Westbroek, Hanna; Janssen, Fred; Doyle, Walter

2017-01-01

Curriculum ideals often get compromised as a curriculum moves through its various levels of representation. Across the different science reforms, this process of slippage is clearly present. Research shows that teacher subject matter knowledge, PCK, beliefs and context factors all influence implementation. Professional development arrangements…

An Assessment of Students' Understanding of Ecosystem Concepts: Conflating Ecological Systems and Cycles

ERIC Educational Resources Information Center

Jordan, Rebecca; Gray, Steven; Demeter, Marylee; Lui, Lei; Hmelo-Silver, Cindy E.

2009-01-01

Teaching ecological concepts in schools is important in promoting natural science and environmental education for young learners. Developing educational programs is difficult, however, because of complicated ecological processes operating on multiple levels, the unlimited nature of potential system interactions (given the openness of systems), and…

Studying Biotechnological Methods Using Animations: The Teacher's Role

ERIC Educational Resources Information Center

Yarden, Hagit; Yarden, Anat

2011-01-01

Animation has great potential for improving the way people learn. A number of studies in different scientific disciplines have shown that instruction involving computer animations can facilitate the understanding of processes at the molecular level. However, using animation alone does not ensure learning. Students sometimes miss essential features…

Using Technology and Inquiry to Improve Student Understanding of Watershed Concepts

ERIC Educational Resources Information Center

Smith, Julie M.; Edwards, Patrick M.; Raschke, Jason

2006-01-01

This paper presents the design, implementation and assessment of the Columbia River Basin Environmental Research Project (CERP) curriculum. CERP is an online inquiry-based, regional geographic curriculum designed to improve technology skills and content knowledge about water quality and watershed-level processes. Student attitudes and knowledge…

Focus on Learning: Reflective Learners & Feedback

ERIC Educational Resources Information Center

Bard, Rose

2014-01-01

Reflecting simply put is the act of thinking about something while seeking a deeper level of understanding. Reflective practice is applying this thinking systematically by making questions, collecting data, and analysing it in order, not to prove something, but to comprehend and act upon reality. It is also an ongoing process that involves…

Understanding Personality Development: An Integrative State Process Model

ERIC Educational Resources Information Center

Geukes, Katharina; van Zalk, Maarten; Back, Mitja D.

2018-01-01

While personality is relatively stable over time, it is also subject to change across the entire lifespan. On a macro-analytical level, empirical research has identified patterns of normative and differential development that are affected by biological and environmental factors, specific life events, and social role investments. On a…

Spoken Spanish Language Development at the High School Level: A Mixed-Methods Study

ERIC Educational Resources Information Center

Moeller, Aleidine J.; Theiler, Janine

2014-01-01

Communicative approaches to teaching language have emphasized the centrality of oral proficiency in the language acquisition process, but research investigating oral proficiency has been surprisingly limited, yielding an incomplete understanding of spoken language development. This study investigated the development of spoken language at the high…

The Formation of the Spirit of Patriotism in Young People

ERIC Educational Resources Information Center

Bykov, A. K.

2012-01-01

Patriotic consciousness is a complex concept. On the worldview level, it incorporates a number of aspects: (1) the "ontological" aspect--the reflection and assessment of the processes going on in society that have an effect on the individual's social space; (2) the "gnoseological" aspect--knowledge, understanding, and…

Evolution and preservation potential of fluvial and transgressive deposits on the Louisiana inner shelf: Understanding depositional processes to support coastal management

USGS Publications Warehouse

Flocks, J.; Miner, M.D.; Twichell, D.C.; Lavoie, D.L.; Kindinger, J.

2009-01-01

The barrier-island systems of the Mississippi River Delta plain are currently undergoing some of the highest rates of shoreline retreat in North America (???20 m/year). Effective management of this coastal area requires an understanding of the processes involved in shoreline erosion and measures that can be enacted to reduce loss. The dominant stratigraphy of the delta plain is fluvial mud (silts and clays), delivered in suspension via a series of shallow-water delta lobes that prograded across the shelf throughout the Holocene. Abandonment of a delta lobe through avulsion leads to rapid land subsidence through compaction within the muddy framework. As the deltaic headland subsides below sea level, the marine environment transgresses the bays and wetlands, reworking the available sands into transgressive barrier shorelines. This natural process is further complicated by numerous factors: (1) global sea-level rise; (2) reduced sediment load within the Mississippi River; (3) diversion of the sediment load away from the barrier shorelines to the deep shelf; (4) storm-induced erosion; and (5) human alteration of the littoral process through the construction of hardened shorelines, canals, and other activities. This suite of factors has led to the deterioration of the barrier-island systems that protect interior wetlands and human infrastructure from normal wave activity and periodic storm impact. Interior wetland loss results in an increased tidal prism and inlet cross-sectional areas, and expanding ebb-tidal deltas, which removes sand from the littoral processes through diversion and sequestration. Shoreface erosion of the deltaic headlands does not provide sufficient sand to balance the loss, resulting in thinning and dislocation of the islands. Abatement measures include replenishing lost sediment with similar material, excavated from discrete sandy deposits within the muddy delta plain. These sand bodies were deposited by the same cyclical processes that formed the barrier islands, and understanding these processes is necessary to characterize their location, extent, and resource potential. In this paper we demonstrate the dominant fluvial and marine-transgressive depositional processes that occur on the inner shelf, and identify the preservation and resource potential of fluvio-deltaic deposits for coastal management in Louisiana. ?? 2009 Springer-Verlag.

Listening Effort: How the Cognitive Consequences of Acoustic Challenge Are Reflected in Brain and Behavior

PubMed Central

2018-01-01

Everyday conversation frequently includes challenges to the clarity of the acoustic speech signal, including hearing impairment, background noise, and foreign accents. Although an obvious problem is the increased risk of making word identification errors, extracting meaning from a degraded acoustic signal is also cognitively demanding, which contributes to increased listening effort. The concepts of cognitive demand and listening effort are critical in understanding the challenges listeners face in comprehension, which are not fully predicted by audiometric measures. In this article, the authors review converging behavioral, pupillometric, and neuroimaging evidence that understanding acoustically degraded speech requires additional cognitive support and that this cognitive load can interfere with other operations such as language processing and memory for what has been heard. Behaviorally, acoustic challenge is associated with increased errors in speech understanding, poorer performance on concurrent secondary tasks, more difficulty processing linguistically complex sentences, and reduced memory for verbal material. Measures of pupil dilation support the challenge associated with processing a degraded acoustic signal, indirectly reflecting an increase in neural activity. Finally, functional brain imaging reveals that the neural resources required to understand degraded speech extend beyond traditional perisylvian language networks, most commonly including regions of prefrontal cortex, premotor cortex, and the cingulo-opercular network. Far from being exclusively an auditory problem, acoustic degradation presents listeners with a systems-level challenge that requires the allocation of executive cognitive resources. An important point is that a number of dissociable processes can be engaged to understand degraded speech, including verbal working memory and attention-based performance monitoring. The specific resources required likely differ as a function of the acoustic, linguistic, and cognitive demands of the task, as well as individual differences in listeners’ abilities. A greater appreciation of cognitive contributions to processing degraded speech is critical in understanding individual differences in comprehension ability, variability in the efficacy of assistive devices, and guiding rehabilitation approaches to reducing listening effort and facilitating communication. PMID:28938250

Listening Effort: How the Cognitive Consequences of Acoustic Challenge Are Reflected in Brain and Behavior.

PubMed

Peelle, Jonathan E

Everyday conversation frequently includes challenges to the clarity of the acoustic speech signal, including hearing impairment, background noise, and foreign accents. Although an obvious problem is the increased risk of making word identification errors, extracting meaning from a degraded acoustic signal is also cognitively demanding, which contributes to increased listening effort. The concepts of cognitive demand and listening effort are critical in understanding the challenges listeners face in comprehension, which are not fully predicted by audiometric measures. In this article, the authors review converging behavioral, pupillometric, and neuroimaging evidence that understanding acoustically degraded speech requires additional cognitive support and that this cognitive load can interfere with other operations such as language processing and memory for what has been heard. Behaviorally, acoustic challenge is associated with increased errors in speech understanding, poorer performance on concurrent secondary tasks, more difficulty processing linguistically complex sentences, and reduced memory for verbal material. Measures of pupil dilation support the challenge associated with processing a degraded acoustic signal, indirectly reflecting an increase in neural activity. Finally, functional brain imaging reveals that the neural resources required to understand degraded speech extend beyond traditional perisylvian language networks, most commonly including regions of prefrontal cortex, premotor cortex, and the cingulo-opercular network. Far from being exclusively an auditory problem, acoustic degradation presents listeners with a systems-level challenge that requires the allocation of executive cognitive resources. An important point is that a number of dissociable processes can be engaged to understand degraded speech, including verbal working memory and attention-based performance monitoring. The specific resources required likely differ as a function of the acoustic, linguistic, and cognitive demands of the task, as well as individual differences in listeners' abilities. A greater appreciation of cognitive contributions to processing degraded speech is critical in understanding individual differences in comprehension ability, variability in the efficacy of assistive devices, and guiding rehabilitation approaches to reducing listening effort and facilitating communication.

Very Tiny Rocks: Site-Specific, Size-Dependent Reaction Kinetics at Nanoparticle-Water Interfaces

NASA Astrophysics Data System (ADS)

Rustad, J. R.

2008-12-01

One of the most fundamental challenges in geochemistry is to be able to understand the rates and mechanisms of elementary reactions that describe chemical processes occurring at mineral-water interfaces. One of the reasons for the primitive conceptual state of reaction kinetics in solid earth geochemistry is that it is very difficult to identify defensible elementary reactions where theoretical predictions can be made and the results can tested experimentally at the same length and time scale of the prediction. For example, the most fundamental predictor of complexation kinetics in aqueous solution is the characteristic water exchange rate, which are well known for the aquo ions and vary by 20 orders of magnitude even for simple trivalent ions. In contrast, for interfacial reactions, it was not even known whether water exchange rates were faster or slower than equivalent metal sites in solution, prohibiting any quantitive understanding of mineral reaction kinetics at the molecular level. Recent advances in synthesis and characterization of materials at nanometer length scales has been able to bridge the gap in scale, and nanometer-sized minerals have given us our first quantitative understanding of elementary reaction rates for fundamental processes involving water and hydroxide exchange reactions. I describe the results of molecular dynamics calculation and experimental measurement of the rates of water, hydroxide, and proton exchange reactions on nanoparticle surfaces. The calculations already show that transition state theory is completely inadequate to understand the rates of even the simplest elementary reactions. Furthermore, the mechanistic implications of rate parameters such as activation volume and activation enthalpy may be different in moving from aquo ions to interfaces. Is a molecular understanding of geochemical processes really needed? One might have asked a biologist at the turn of the century whether studying the structure of proteins would ever be useful for curing disease. True molecular level understanding of interfacial interactions has the potential to revolutionize geology, allowing unprecedented detail and accuracy in such important contexts as climate reconstruction and tectonic history. Geology has an inevitable molecular future.

Integrating Decision Making and Mental Health Interventions Research: Research Directions

PubMed Central

Wills, Celia E.; Holmes-Rovner, Margaret

2006-01-01

The importance of incorporating patient and provider decision-making processes is in the forefront of the National Institute of Mental Health (NIMH) agenda for improving mental health interventions and services. Key concepts in patient decision making are highlighted within a simplified model of patient decision making that links patient-level/“micro” variables to services-level/“macro” variables via the decision-making process that is a target for interventions. The prospective agenda for incorporating decision-making concepts in mental health research includes (a) improved measures for characterizing decision-making processes that are matched to study populations, complexity, and types of decision making; (b) testing decision aids in effectiveness research for diverse populations and clinical settings; and (c) improving the understanding and incorporation of preference concepts in enhanced intervention designs. PMID:16724158

REFLECTIVE PRACTICE IN ORGANIZATIONAL LEARNING, CULTURAL SELF-UNDERSTANDING, AND COMMUNITY SELF-STRENGTHENING.

PubMed

Sparrow, Joshua

2016-11-01

The infant mental health field can amplify its effects when it extends its purview beyond the dyad to the larger contexts in which infants and adult caregivers interact and develop over time. Within health, mental health, education, and other human service organizations, the quality of relationships is a critical variable in the individual-level outcomes that such organizations seek. The goals of this work and the means for accomplishing them are highly dependent on human qualities and interactions that are shaped by organizational processes. In communities, too, processes that shape relationships also strongly influence child-, family-, and community-level outcomes. The Touchpoints approach to reflective practice can guide relational processes among professionals, parents, and infants in organizations and communities that influence these outcomes. © 2016 Michigan Association for Infant Mental Health.

The clandestine organs of the endocrine system.

PubMed

Garcia-Reyero, Natàlia

2018-02-01

This review analyzes what could be regarded as the "clandestine organs" of the endocrine system: the gut microbiome, the immune system, and the stress system. The immune system is very closely related to the endocrine system, with many intertwined processes and signals. Many researchers now consider the microbiome as an 'organ' that affects the organism at many different levels. While stress is certainly not an organ, it affects so many processes, including endocrine-related processes, that the stress response system deserved a special section in this review. Understanding the connections, effects, and feedback mechanisms between the different "clandestine organs" and the endocrine system will provide us with a better understanding of how an organism functions, as well as reinforce the idea that there are no independent organs or systems, but a complex, interacting network of molecules, cells, tissues, signaling pathways, and mechanisms that constitute an individual. Published by Elsevier Inc.

The Roles of Implicit Understanding of Engineering Ethics in Student Teams' Discussion.

PubMed

Lee, Eun Ah; Grohman, Magdalena; Gans, Nicholas R; Tacca, Marco; Brown, Matthew J

2017-12-01

Following previous work that shows engineering students possess different levels of understanding of ethics-implicit and explicit-this study focuses on how students' implicit understanding of engineering ethics influences their team discussion process, in cases where there is significant divergence between their explicit and implicit understanding. We observed student teams during group discussions of the ethical issues involved in their engineering design projects. Through the micro-scale discourse analysis based on cognitive ethnography, we found two possible ways in which implicit understanding influenced the discussion. In one case, implicit understanding played the role of intuitive ethics-an intuitive judgment followed by reasoning. In the other case, implicit understanding played the role of ethical insight, emotionally guiding the direction of the discussion. In either case, however, implicit understanding did not have a strong influence, and the conclusion of the discussion reflected students' explicit understanding. Because students' implicit understanding represented broader social implication of engineering design in both cases, we suggest to take account of students' relevant implicit understanding in engineering education, to help students become more socially responsible engineers.

Examples of storm impacts on barrier islands: Chapter 4

USGS Publications Warehouse

Plant, Nathaniel G.; Doran, Kara; Stockdon, Hilary F.

2017-01-01

This chapter focuses on the morphologic variability of barrier islands and on the differences in storm response. It describes different types of barrier island response to individual storms, as well as the integrated response of barrier islands to many storms. The chapter considers case study on the Chandeleur Island chain, where a decadal time series of island elevation measurements have documented a wide range of barrier island responses to storms and long-term processes that are representative of barrier island behaviour at many other locations. These islands are low elevation, extremely vulnerable to storms and exhibit a diversity of storm responses. Additionally, this location experiences a moderately high rate of relative sea-level rise, increasing its vulnerability to the combined impacts of storms and long-term erosional processes. Understanding how natural processes, including storm impacts and intervening recovery periods interact with man-made restoration processes is also broadly relevant to understand the natural and human response to future storms.

Identification of potential barriers to nurse-sensitive outcome demonstration.

PubMed

Beckel, Jean; Wolf, Gail; Wilson, Roxanne; Hoolahan, Susan

2013-12-01

The objective of this study was to determine differences in chief nursing officer, Magnet(®) program director, nurse leader, and direct care RN perspectives of potential barriers to demonstration of nurse-sensitive outcomes. The Magnet Recognition Program(®) and other designations are focusing on patient outcomes. No evidence is available addressing barriers to demonstration of nursing outcomes at multiple levels of practice. A Likert scale tool was developed and administered to 526 attendees at the 2012 national Magnet conference. Questions related to available resources, benchmarks, outcome demonstration process understanding, perception of value, and competing priorities. Significant perception differences by role were demonstrated related to available resources, competing priorities, and process understanding supporting demonstration of nurse-sensitive outcomes. No significant differences were identified related to benchmarks or perception of process value to the organization. This study provides new information demonstrating potential barriers to demonstration of nurse-sensitive outcomes differing by role. Opportunity exists to develop systems and processes to reduce perceived barriers among the nursing workforce.

Understanding pictorial information in biology: students' cognitive activities and visual reading strategies

NASA Astrophysics Data System (ADS)

Brandstetter, Miriam; Sandmann, Angela; Florian, Christine

2017-06-01

In classroom, scientific contents are increasingly communicated through visual forms of representations. Students' learning outcomes rely on their ability to read and understand pictorial information. Understanding pictorial information in biology requires cognitive effort and can be challenging to students. Yet evidence-based knowledge about students' visual reading strategies during the process of understanding pictorial information is pending. Therefore, 42 students at the age of 14-15 were asked to think aloud while trying to understand visual representations of the blood circulatory system and the patellar reflex. A category system was developed differentiating 16 categories of cognitive activities. A Principal Component Analysis revealed two underlying patterns of activities that can be interpreted as visual reading strategies: 1. Inferences predominated by using a problem-solving schema; 2. Inferences predominated by recall of prior content knowledge. Each pattern consists of a specific set of cognitive activities that reflect selection, organisation and integration of pictorial information as well as different levels of expertise. The results give detailed insights into cognitive activities of students who were required to understand the pictorial information of complex organ systems. They provide an evidence-based foundation to derive instructional aids that can promote students pictorial-information-based learning on different levels of expertise.

Projected Response of Low-Level Convergence and Associated Precipitation to Greenhouse Warming

NASA Astrophysics Data System (ADS)

Weller, Evan; Jakob, Christian; Reeder, Michael J.

2017-10-01

The parameterization of convection in climate models is a large source of uncertainty in projecting future precipitation changes. Here an objective method to identify organized low-level convergence lines has been used to better understand how atmospheric convection is organized and projected to change, as low-level convergence plays an important role in the processes leading to precipitation. The frequency and strength of convergence lines over both ocean and land in current climate simulations is too low compared to reanalysis data. Projections show a further reduction in the frequency and strength of convergence lines over the midlatitudes. In the tropics, the largest changes in frequency are generally associated with shifts in major low-latitude convergence zones, consistent with changes in the precipitation. Further, examining convergence lines when in the presence or absence of precipitation results in large spatial contrasts, providing a better understanding of regional changes in terms of thermodynamic and dynamic effects.

Initial Readability Assessment of Clinical Trial Eligibility Criteria

PubMed Central

Kang, Tian; Elhadad, Noémie; Weng, Chunhua

2015-01-01

Various search engines are available to clinical trial seekers. However, it remains unknown how comprehensible clinical trial eligibility criteria used for recruitment are to a lay audience. This study initially investigated this problem. Readability of eligibility criteria was assessed according to (i) shallow and lexical characteristics through the use of an established, generic readability metric; (ii) syntactic characteristics through natural language processing techniques; and (iii) health terminological characteristics through an automated comparison to technical and lay health texts. We further stratified clinical trials according to various study characteristics (e.g., source country or study type) to understand potential factors influencing readability. Mainly caused by frequent use of technical jargons, a college reading level was found to be necessary to understand eligibility criteria text, a level much higher than the average literacy level of the general American population. The use of technical jargons should be minimized to simplify eligibility criteria text. PMID:26958204

Wind farm and solar park effects on plant–soil carbon cycling: uncertain impacts of changes in ground-level microclimate

PubMed Central

Armstrong, Alona; Waldron, Susan; Whitaker, Jeanette; Ostle, Nicholas J

2014-01-01

Global energy demand is increasing as greenhouse gas driven climate change progresses, making renewable energy sources critical to future sustainable power provision. Land-based wind and solar electricity generation technologies are rapidly expanding, yet our understanding of their operational effects on biological carbon cycling in hosting ecosystems is limited. Wind turbines and photovoltaic panels can significantly change local ground-level climate by a magnitude that could affect the fundamental plant–soil processes that govern carbon dynamics. We believe that understanding the possible effects of changes in ground-level microclimates on these phenomena is crucial to reducing uncertainty of the true renewable energy carbon cost and to maximize beneficial effects. In this Opinions article, we examine the potential for the microclimatic effects of these land-based renewable energy sources to alter plant–soil carbon cycling, hypothesize likely effects and identify critical knowledge gaps for future carbon research. PMID:24132939

Hierarchical semantic structures for medical NLP.

PubMed

Taira, Ricky K; Arnold, Corey W

2013-01-01

We present a framework for building a medical natural language processing (NLP) system capable of deep understanding of clinical text reports. The framework helps developers understand how various NLP-related efforts and knowledge sources can be integrated. The aspects considered include: 1) computational issues dealing with defining layers of intermediate semantic structures to reduce the dimensionality of the NLP problem; 2) algorithmic issues in which we survey the NLP literature and discuss state-of-the-art procedures used to map between various levels of the hierarchy; and 3) implementation issues to software developers with available resources. The objective of this poster is to educate readers to the various levels of semantic representation (e.g., word level concepts, ontological concepts, logical relations, logical frames, discourse structures, etc.). The poster presents an architecture for which diverse efforts and resources in medical NLP can be integrated in a principled way.

Confluence and Contours: Reflexive Management of Environmental Risk

PubMed Central

Schubert, Iljana; Pollard, Simon; Rocks, Sophie; Black, Edgar

2015-01-01

Government institutions have responsibilities to distribute risk management funds meaningfully and to be accountable for their choices. We took a macro‐level sociological approach to understanding the role of government in managing environmental risks, and insights from micro‐level psychology to examine individual‐level risk‐related perceptions and beliefs. Survey data from 2,068 U.K. citizens showed that lay people's funding preferences were associated positively with beliefs about responsibility and trust, yet associations with perception varied depending on risk type. Moreover, there were risk‐specific differences in the funding preferences of the lay sample and 29 policymakers. A laboratory‐based study of 109 participants examined funding allocation in more detail through iterative presentation of expert information. Quantitative and qualitative data revealed a meso‐level framework comprising three types of decisionmakers who varied in their willingness to change funding allocation preferences following expert information: adaptors, responders, and resistors. This research highlights the relevance of integrated theoretical approaches to understanding the policy process, and the benefits of reflexive dialogue to managing environmental risks. PMID:26720858

Muscle and Limb Mechanics.

PubMed

Tsianos, George A; Loeb, Gerald E

2017-03-16

Understanding of the musculoskeletal system has evolved from the collection of individual phenomena in highly selected experimental preparations under highly controlled and often unphysiological conditions. At the systems level, it is now possible to construct complete and reasonably accurate models of the kinetics and energetics of realistic muscles and to combine them to understand the dynamics of complete musculoskeletal systems performing natural behaviors. At the reductionist level, it is possible to relate most of the individual phenomena to the anatomical structures and biochemical processes that account for them. Two large challenges remain. At a systems level, neuroscience must now account for how the nervous system learns to exploit the many complex features that evolution has incorporated into muscle and limb mechanics. At a reductionist level, medicine must now account for the many forms of pathology and disability that arise from the many diseases and injuries to which this highly evolved system is inevitably prone. © 2017 American Physiological Society. Compr Physiol 7:429-462, 2017. Copyright © 2017 John Wiley & Sons, Inc.

Student conceptions about the DNA structure within a hierarchical organizational level: Improvement by experiment- and computer-based outreach learning.

PubMed

Langheinrich, Jessica; Bogner, Franz X

2015-01-01

As non-scientific conceptions interfere with learning processes, teachers need both, to know about them and to address them in their classrooms. For our study, based on 182 eleventh graders, we analyzed the level of conceptual understanding by implementing the "draw and write" technique during a computer-supported gene technology module. To give participants the hierarchical organizational level which they have to draw, was a specific feature of our study. We introduced two objective category systems for analyzing drawings and inscriptions. Our results indicated a long- as well as a short-term increase in the level of conceptual understanding and in the number of drawn elements and their grades concerning the DNA structure. Consequently, we regard the "draw and write" technique as a tool for a teacher to get to know students' alternative conceptions. Furthermore, our study points the modification potential of hands-on and computer-supported learning modules. © 2015 The International Union of Biochemistry and Molecular Biology.

Impact of cooking, proving, and baking on the (poly)phenol content of wild blueberry.

PubMed

Rodriguez-Mateos, Ana; Cifuentes-Gomez, Tania; George, Trevor W; Spencer, Jeremy P E

2014-05-07

Accumulating evidence suggests that diets rich in (poly)phenols may have positive effects on human health. Currently there is limited information regarding the effects of processing on the (poly)phenolic content of berries, in particular in processes related to the baking industry. This study investigated the impact of cooking, proving, and baking on the anthocyanin, procyanidin, flavonol, and phenolic acid contents of wild blueberry using HPLC with UV and fluorescence detection. Anthocyanin levels decreased during cooking, proving, and baking, whereas no significant changes were observed for total procyanidins. However, lower molecular weight procyanidins increased and high molecular weight oligomers decreased during the process. Quercetin and ferulic and caffeic acid levels remained constant, whereas increases were found for chlorogenic acid. Due to their possible health benefits, a better understanding of the impact of processing is important to maximize the retention of these phytochemicals in berry-containing products.

Incorporating evolutionary processes into population viability models.

PubMed

Pierson, Jennifer C; Beissinger, Steven R; Bragg, Jason G; Coates, David J; Oostermeijer, J Gerard B; Sunnucks, Paul; Schumaker, Nathan H; Trotter, Meredith V; Young, Andrew G

2015-06-01

We examined how ecological and evolutionary (eco-evo) processes in population dynamics could be better integrated into population viability analysis (PVA). Complementary advances in computation and population genomics can be combined into an eco-evo PVA to offer powerful new approaches to understand the influence of evolutionary processes on population persistence. We developed the mechanistic basis of an eco-evo PVA using individual-based models with individual-level genotype tracking and dynamic genotype-phenotype mapping to model emergent population-level effects, such as local adaptation and genetic rescue. We then outline how genomics can allow or improve parameter estimation for PVA models by providing genotypic information at large numbers of loci for neutral and functional genome regions. As climate change and other threatening processes increase in rate and scale, eco-evo PVAs will become essential research tools to evaluate the effects of adaptive potential, evolutionary rescue, and locally adapted traits on persistence. © 2014 Society for Conservation Biology.

Principles Supporting the Perceptional Teaching of Physics: A ``Practical Teaching Philosophy''

NASA Astrophysics Data System (ADS)

Kurki-Suonio, Kaarle

2011-03-01

This article sketches a framework of ideas developed in the context of decades of physics teacher-education that was entitled the "perceptional approach". Individual learning and the scientific enterprise are interpreted as different manifestations of the same process aimed at understanding the natural and social worlds. The process is understood to possess the basic nature of perception, where empirical meanings are first born and then conceptualised. The accumulation of perceived gestalts in the "structure of the mind" leads to structural perception and the generation of conceptual hierarchies, which form a general principle for the expansion of our understanding. The process undergoes hierarchical development from early sensory perception to individual learning and finally to science. The process is discussed in terms of a three-process dynamic. Scientific and technological processes are driven by the interaction of the mind and nature. They are embedded in the social process due to the interaction of individual minds. These sub-processes are defined by their aims: The scientific process affects the mind and aims at understanding; the technological process affects nature and aims at human well-being; and the social process aims at mutual agreement and cooperation. In hierarchical development the interaction of nature and the mind gets structured into a "methodical cycle" by procedures involving conscious activities. Its intuitive nature is preserved due to subordination of the procedures to empirical meanings. In physics, two dimensions of hierarchical development are distinguished: Unification development gives rise to a generalisation hierarchy of concepts; Quantification development transfers the empirical meanings to quantities, laws and theories representing successive hierarchical levels of quantitative concepts. Consequences for physics teaching are discussed in principle, and in the light of examples and experiences from physics teacher education.

The Climate Variability & Predictability (CVP) Program at NOAA - Recent Program Advancements

NASA Astrophysics Data System (ADS)

Lucas, S. E.; Todd, J. F.

2015-12-01

The Climate Variability & Predictability (CVP) Program supports research aimed at providing process-level understanding of the climate system through observation, modeling, analysis, and field studies. This vital knowledge is needed to improve climate models and predictions so that scientists can better anticipate the impacts of future climate variability and change. To achieve its mission, the CVP Program supports research carried out at NOAA and other federal laboratories, NOAA Cooperative Institutes, and academic institutions. The Program also coordinates its sponsored projects with major national and international scientific bodies including the World Climate Research Programme (WCRP), the International and U.S. Climate Variability and Predictability (CLIVAR/US CLIVAR) Program, and the U.S. Global Change Research Program (USGCRP). The CVP program sits within NOAA's Climate Program Office (http://cpo.noaa.gov/CVP). The CVP Program currently supports multiple projects in areas that are aimed at improved representation of physical processes in global models. Some of the topics that are currently funded include: i) Improved Understanding of Intraseasonal Tropical Variability - DYNAMO field campaign and post -field projects, and the new climate model improvement teams focused on MJO processes; ii) Climate Process Teams (CPTs, co-funded with NSF) with projects focused on Cloud macrophysical parameterization and its application to aerosol indirect effects, and Internal-Wave Driven Mixing in Global Ocean Models; iii) Improved Understanding of Tropical Pacific Processes, Biases, and Climatology; iv) Understanding Arctic Sea Ice Mechanism and Predictability;v) AMOC Mechanisms and Decadal Predictability Recent results from CVP-funded projects will be summarized. Additional information can be found at http://cpo.noaa.gov/CVP.

Participant comprehension of research for which they volunteer: a systematic review.

PubMed

Montalvo, Wanda; Larson, Elaine

2014-11-01

Evidence indicates that research participants often do not fully understand the studies for which they have volunteered. The aim of this systematic review was to examine the relationship between the process of obtaining informed consent for research and participant comprehension and satisfaction with the research. Systematic review of published research on informed consent and participant comprehension of research for which they volunteer using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement as a guide. PubMed, Cumulative Index for Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trails, and Cochrane Database of Systematic Reviews were used to search the literature for studies meeting the following inclusion criteria: (a) published between January 1, 2006, and December 31, 2013, (b) interventional or descriptive quantitative design, (c) published in a peer-reviewed journal, (d) written in English, and (e) assessed participant comprehension or satisfaction with the research process. Studies were assessed for quality using seven indicators: sampling method, use of controls or comparison groups, response rate, description of intervention, description of outcome, statistical method, and health literacy assessment. Of 176 studies identified, 27 met inclusion criteria: 13 (48%) were randomized interventional designs and 14 (52%) were descriptive. Three categories of studies included projects assessing (a) enhanced consent process or form, (b) multimedia methods, and (c) education to improve participant understanding. Most (78%) used investigator-developed tools to assess participant comprehension, did not assess participant health literacy (74%), or did not assess the readability level of the consent form (89%). Researchers found participants lacked basic understanding of research elements: randomization, placebo, risks, and therapeutic misconception. Findings indicate (a) inconsistent assessment of participant reading or health literacy level, (b) measurement variation associated with use of nonstandardized tools, and (c) continued therapeutic misconception and lack of understanding among research participants of randomization, placebo, benefit, and risk. While the Agency for Healthcare and Quality and National Quality Forum have published informed consent and authorization toolkits, previously published validated tools are underutilized. Informed consent requires the assessment of health literacy, reading level, and comprehension of research participants using validated assessment tools and methods. © 2014 Sigma Theta Tau International.

Ecosystem function in waste stabilisation ponds: Improving water quality through a better understanding of biophysical coupling

NASA Astrophysics Data System (ADS)

Ghadouani, Anas; Reichwaldt, Elke S.; Coggins, Liah X.; Ivey, Gregory N.; Ghisalberti, Marco; Zhou, Wenxu; Laurion, Isabelle; Chua, Andrew

2014-05-01

Wastewater stabilisation ponds (WSPs) are highly productive systems designed to treat wastewater using only natural biological and chemical processes. Phytoplankton, microbial communities and hydraulics play important roles for ecosystem functionality of these pond systems. Although WSPs have been used for many decades, they are still considered as 'black box' systems as very little is known about the fundamental ecological processes which occur within them. However, a better understanding of how these highly productive ecosystems function is particularly important for hydrological processes, as treated wastewater is commonly discharged into streams, rivers, and oceans, and subject to strict water quality guidelines. WSPs are known to operate at different levels of efficiency, and treatment efficiency of WSPs is dependent on physical (flow characteristics and sludge accumulation and distribution) and biological (microbial and phytoplankton communities) characteristics. Thus, it is important to gain a better understanding of the role and influence of pond hydraulics and vital microbial communities on pond performance and WSP functional stability. The main aim of this study is to investigate the processes leading to differences in treatment performance of WSPs. This study uses a novel and innovative approach to understand these factors by combining flow cytometry and metabolomics to investigate various biochemical characteristics, including the metabolite composition and microbial community within WSPs. The results of these analyses will then be combined with results from the characterisation of pond hydrodynamics and hydraulic performance, which will be performed using advanced hydrodynamic modelling and advanced sludge profiling technology. By understanding how hydrodynamic and biological processes influence each other and ecosystem function and stability in WSPs, we will be able to propose ways to improve the quality of the treatment using natural processes, with less reliance on chemical treatment. This will in turn contribute to the reduction in the cost of operation, but more importantly reduce the impact on the environment (i.e., discharge, GHGs), and increase water quality and the potential for water reuse worldwide.

Is autonomy related to the quality of performance of everyday activities in children with spina bifida?

PubMed

Peny-Dahlstrand, Marie; Krumlinde-Sundholm, Lena; Gosman-Hedström, Gunilla

2012-01-01

To investigate the relationship between the level of autonomy and the quality of performance of everyday activities in a population-based cohort of children with spina bifida and to study the agreement between the children's and the parents' ratings of autonomy. 50 dyads of children (aged 6-14) with spina bifida and their parents rated the children's level of autonomy with an adapted, Swedish version of the Autonomy Scale from the Arc's Self-Determination Scale. Each child's quality of performance of everyday activities was assessed with the Assessment of Motor and Process Skills (AMPS). The autonomy levels of the children with spina bifida were rated to be lowest in daily routines and highest in leisure activities. Binary logistic regression analyses revealed that age, motor skills and process skills were all significantly related to the autonomy level, but that process skills appeared to predominate in this respect. Concerning the perception of the autonomy level, little agreement was found between each child and his/her parent. It is important to understand and support the development of process skills as expressed in task performance in children with spina bifida and to pay attention to both the parent's and the child's opinion when setting goals and plans for interventions.

Social Anthropological Considerations on the Predictability and Unpredictability of Community Outcomes

NASA Astrophysics Data System (ADS)

Smith, Gregory O.

This chapter surveys community process in a circumscribed area of central Italy in a comparative effort to show how simple quantitative methods can provide insights into the nature of community constitution. It is evident that individual and psychological processes are rooted in community experience, and in order to have a fuller understanding of the various system levels discussed in this volume, it is valuable also to have some insights into the organizational dynamics of localized communities.

Measurements and modeling of CO 2 concentration and isotopes to improve process-level understanding of Arctic and boreal carbon cycling. Final Report

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

Keeling, Ralph F.

The major goal of this project was to improve understanding of processes that control the exchanges of CO 2 between the atmosphere and the land biosphere on decadal and longer time scales. The approach involves measuring the changes in atmospheric CO 2 concentration and the isotopes of CO 2 ( 13C/ 12C and 18O/ 16O) at background stations and uses these and other datasets to challenge and improve numerical models of the earth system. The project particularly emphasized the use of these data to improve understanding of changes occurring in boreal and arctic ecosystems over the past 50 years andmore » to seek from these data improved understanding of large-scale processes impacting carbon cycling, such as the responses to warming, CO 2 fertilization, and disturbance. The project also led to advances in the understanding of changes in water-use efficiency of land ecosystems globally based on trends in 13C/ 12C. The core element of this project was providing partial support for continuing measurements of CO 2 concentrations and isotopes from the Scripps CO 2 program, initiated by C. D. Keeling in the 1960s. The measurements included analysis of flasks collected at an array of ten stations distributed from the Arctic to the Antarctic. The project also supported modeling studies and interpretive work to help understand the origins of the large ~50% increase in the amplitude of the atmospheric CO 2 cycle detected at high northern latitudes between 1960 and present and to understand the long-term trend in carbon 13C/ 12C of CO 2. The seasonal cycle work was advanced through collaborations with colleagues at MPI Jena and Imperial College« less

Does lake size matter? Combining morphology and process modeling to examine the contribution of lake classes to population-scale processes

USGS Publications Warehouse

Winslow, Luke A.; Read, Jordan S.; Hanson, Paul C.; Stanley, Emily H.

2014-01-01

With lake abundances in the thousands to millions, creating an intuitive understanding of the distribution of morphology and processes in lakes is challenging. To improve researchers’ understanding of large-scale lake processes, we developed a parsimonious mathematical model based on the Pareto distribution to describe the distribution of lake morphology (area, perimeter and volume). While debate continues over which mathematical representation best fits any one distribution of lake morphometric characteristics, we recognize the need for a simple, flexible model to advance understanding of how the interaction between morphometry and function dictates scaling across large populations of lakes. These models make clear the relative contribution of lakes to the total amount of lake surface area, volume, and perimeter. They also highlight the critical thresholds at which total perimeter, area and volume would be evenly distributed across lake size-classes have Pareto slopes of 0.63, 1 and 1.12, respectively. These models of morphology can be used in combination with models of process to create overarching “lake population” level models of process. To illustrate this potential, we combine the model of surface area distribution with a model of carbon mass accumulation rate. We found that even if smaller lakes contribute relatively less to total surface area than larger lakes, the increasing carbon accumulation rate with decreasing lake size is strong enough to bias the distribution of carbon mass accumulation towards smaller lakes. This analytical framework provides a relatively simple approach to upscaling morphology and process that is easily generalizable to other ecosystem processes.

Effects of marital conflict on children: recent advances and emerging themes in process-oriented research.

PubMed

Cummings, E Mark; Davies, Patrick T

2002-01-01

The effects of marital conflict on children's adjustment are well documented. For the past decade research has increasingly focused on advancing a process-level understanding of these effects, that is, accounting for the particular responses and patterns embedded within specific contexts, histories, and developmental periods that account for children's outcomes over time. As a vehicle for presenting an update, this review follows the framework for process-oriented research initially proposed by Cummings and Cummings (1988), concentrating on recent research developments, and also considering new and emerging themes in this area of research. In this regard, areas of advancement include (a) greater articulation of the effects of specific context/stimulus characteristics of marital conflict, (b) progress in identifying the psychological response processes in children (e.g., cognitive, emotional, social, physiological) that are affected and their possible role in accounting for relations between marital conflict and child outcomes, (c) greater understanding of the role of child characteristics, family history, and other contextual factors, including effects on children due to interrelations between marital conflict and parenting, and (d) advances in the conceptualization of children's outcomes, including that effects may be more productively viewed as dynamic processes of functioning rather than simply clinical diagnoses. Understanding of the impact of marital conflict on children as a function of time-related processes remains a gap in a process-oriented conceptualization of effects. Based on this review, a revised model for a process-oriented approach on the effects of marital discord on children is proposed and suggestions are made for future research directions.

Do we understand high-level vision?

PubMed

Cox, David Daniel

2014-04-01

'High-level' vision lacks a single, agreed upon definition, but it might usefully be defined as those stages of visual processing that transition from analyzing local image structure to analyzing structure of the external world that produced those images. Much work in the last several decades has focused on object recognition as a framing problem for the study of high-level visual cortex, and much progress has been made in this direction. This approach presumes that the operational goal of the visual system is to read-out the identity of an object (or objects) in a scene, in spite of variation in the position, size, lighting and the presence of other nearby objects. However, while object recognition as a operational framing of high-level is intuitive appealing, it is by no means the only task that visual cortex might do, and the study of object recognition is beset by challenges in building stimulus sets that adequately sample the infinite space of possible stimuli. Here I review the successes and limitations of this work, and ask whether we should reframe our approaches to understanding high-level vision. Copyright © 2014. Published by Elsevier Ltd.

Neural Correlates of Subliminal Language Processing.

PubMed

Axelrod, Vadim; Bar, Moshe; Rees, Geraint; Yovel, Galit

2015-08-01

Language is a high-level cognitive function, so exploring the neural correlates of unconscious language processing is essential for understanding the limits of unconscious processing in general. The results of several functional magnetic resonance imaging studies have suggested that unconscious lexical and semantic processing is confined to the posterior temporal lobe, without involvement of the frontal lobe-the regions that are indispensable for conscious language processing. However, previous studies employed a similarly designed masked priming paradigm with briefly presented single and contextually unrelated words. It is thus possible, that the stimulation level was insufficiently strong to be detected in the high-level frontal regions. Here, in a high-resolution fMRI and multivariate pattern analysis study we explored the neural correlates of subliminal language processing using a novel paradigm, where written meaningful sentences were suppressed from awareness for extended duration using continuous flash suppression. We found that subjectively and objectively invisible meaningful sentences and unpronounceable nonwords could be discriminated not only in the left posterior superior temporal sulcus (STS), but critically, also in the left middle frontal gyrus. We conclude that frontal lobes play a role in unconscious language processing and that activation of the frontal lobes per se might not be sufficient for achieving conscious awareness. © The Author 2014. Published by Oxford University Press.

High-performance image processing on the desktop

NASA Astrophysics Data System (ADS)

Jordan, Stephen D.

1996-04-01

The suitability of computers to the task of medical image visualization for the purposes of primary diagnosis and treatment planning depends on three factors: speed, image quality, and price. To be widely accepted the technology must increase the efficiency of the diagnostic and planning processes. This requires processing and displaying medical images of various modalities in real-time, with accuracy and clarity, on an affordable system. Our approach to meeting this challenge began with market research to understand customer image processing needs. These needs were translated into system-level requirements, which in turn were used to determine which image processing functions should be implemented in hardware. The result is a computer architecture for 2D image processing that is both high-speed and cost-effective. The architectural solution is based on the high-performance PA-RISC workstation with an HCRX graphics accelerator. The image processing enhancements are incorporated into the image visualization accelerator (IVX) which attaches to the HCRX graphics subsystem. The IVX includes a custom VLSI chip which has a programmable convolver, a window/level mapper, and an interpolator supporting nearest-neighbor, bi-linear, and bi-cubic modes. This combination of features can be used to enable simultaneous convolution, pan, zoom, rotate, and window/level control into 1 k by 1 k by 16-bit medical images at 40 frames/second.

The motivational drive to natural rewards is modulated by prenatal glucocorticoid exposure

PubMed Central

Soares-Cunha, C; Coimbra, B; Borges, S; Carvalho, M M; Rodrigues, A J; Sousa, N

2014-01-01

Exposure to elevated levels of glucocorticoids (GCs) during neurodevelopment has been identified as a triggering factor for the development of reward-associated disorders in adulthood. Disturbances in the neural networks responsible for the complex processes that assign value to rewards and associated stimuli are critical for disorders such as depression, obsessive–compulsive disorders, obesity and addiction. Essential in the understanding on how cues influence behavior is the Pavlovian–instrumental transfer (PIT), a phenomenon that refers to the capacity of a Pavlovian stimulus that predicts a reward to elicit instrumental responses for that same reward. Here, we demonstrate that in utero exposure to GCs (iuGC) impairs both general and selective versions of the PIT paradigm, suggestive of deficits in motivational drive. The iuGC animals presented impaired neuronal activation pattern upon PIT performance in cortical and limbic regions, as well as morphometric changes and reduced levels of dopamine in prefrontal and orbitofrontal cortices, key regions involved in the integration of Pavlovian and instrumental stimuli. Normalization of dopamine levels rescued this behavior, a process that relied on D2/D3, but not D1, dopamine receptor activation. In summary, iuGC exposure programs the mesocorticolimbic dopaminergic circuitry, leading to a reduction in the attribution of the incentive salience to cues, in a dopamine-D2/D3-dependent manner. Ultimately, these results are important to understand how GCs bias incentive processes, a fact that is particularly relevant for disorders where differential attribution of incentive salience is critical. PMID:25928947

What Does Anonymization Mean? DataSHIELD and the Need for Consensus on Anonymization Terminology.

PubMed

Wallace, Susan E

2016-06-01

Anonymization is a recognized process by which identifiers can be removed from identifiable data to protect an individual's confidentiality and is used as a standard practice when sharing data in biomedical research. However, a plethora of terms, such as coding, pseudonymization, unlinked, and deidentified, have been and continue to be used, leading to confusion and uncertainty. This article shows that this is a historic problem and argues that such continuing uncertainty regarding the levels of protection given to data risks damaging initiatives designed to assist researchers conducting cross-national studies and sharing data internationally. DataSHIELD and the creation of a legal template are used as examples of initiatives that rely on anonymization, but where the inconsistency in terminology could hinder progress. More broadly, this article argues that there is a real possibility that there could be possible damage to the public's trust in research and the institutions that carry it out by relying on vague notions of the anonymization process. Research participants whose lack of clear understanding of the research process is compensated for by trusting those carrying out the research may have that trust damaged if the level of protection given to their data does not match their expectations. One step toward ensuring understanding between parties would be consistent use of clearly defined terminology used internationally, so that all those involved are clear on the level of identifiability of any particular set of data and, therefore, how that data can be accessed and shared.

Crystallization in high-level waste glass: A review of glass theory and noteworthy literature

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

Christian, J. H.

2015-08-18

There is a fundamental need to continue research aimed at understanding nepheline and spinel crystal formation in high-level waste (HLW) glass. Specifically, the formation of nepheline solids (K/NaAlSiO 4) during slow cooling of HLW glass can reduce the chemical durability of the glass, which can cause a decrease in the overall durability of the glass waste form. The accumulation of spinel solids ((Fe, Ni, Mn, Zn)(Fe, Cr) 2O 4), while not detrimental to glass durability, can cause an array of processing problems inside HLW glass melters. In this review, the fundamental differences between glass and solid-crystals are explained using kinetic,more » thermodynamic, and viscosity arguments, and several highlights of glass-crystallization research, as it pertains to high-level waste vitrification, are described. In terms of mitigating spinel in the melter and both spinel and nepheline formation in the canister, the complexity of HLW glass and the intricate interplay between thermal, chemical, and kinetic factors further complicates this understanding. However, new experiments seeking to elucidate the contributing factors of crystal nucleation and growth in waste glass, and the compilation of data from older experiments, may go a long way towards helping to achieve higher waste loadings while developing more efficient processing strategies. Higher waste loadings and more efficient processing strategies will reduce the overall HLW Hanford Tank Waste Treatment and Immobilization Plant (WTP) vitrification facilities mission life.« less

Prediction of porosity of food materials during drying: Current challenges and directions.

PubMed

Joardder, Mohammad U H; Kumar, C; Karim, M A

2017-07-18

Pore formation in food samples is a common physical phenomenon observed during dehydration processes. The pore evolution during drying significantly affects the physical properties and quality of dried foods. Therefore, it should be taken into consideration when predicting transport processes in the drying sample. Characteristics of pore formation depend on the drying process parameters, product properties and processing time. Understanding the physics of pore formation and evolution during drying will assist in accurately predicting the drying kinetics and quality of food materials. Researchers have been trying to develop mathematical models to describe the pore formation and evolution during drying. In this study, existing porosity models are critically analysed and limitations are identified. Better insight into the factors affecting porosity is provided, and suggestions are proposed to overcome the limitations. These include considerations of process parameters such as glass transition temperature, sample temperature, and variable material properties in the porosity models. Several researchers have proposed models for porosity prediction of food materials during drying. However, these models are either very simplistic or empirical in nature and failed to consider relevant significant factors that influence porosity. In-depth understanding of characteristics of the pore is required for developing a generic model of porosity. A micro-level analysis of pore formation is presented for better understanding, which will help in developing an accurate and generic porosity model.

Could a neuroscientist understand a microprocessor?

DOE PAGES

Jonas, Eric; Kording, Konrad Paul; Diedrichsen, Jorn

2017-01-12

There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods frommore » neuroscience can elucidate the way it processes information. Microprocessors are among those artificial information processing systems that are both complex and that we understand at all levels, from the overall logical flow, via logical gates, to the dynamics of transistors. We show that the approaches reveal interesting structure in the data but do not meaningfully describe the hierarchy of information processing in the microprocessor. This suggests current analytic approaches in neuroscience may fall short of producing meaningful understanding of neural systems, regardless of the amount of data. Furthermore, we argue for scientists using complex non-linear dynamical systems with known ground truth, such as the microprocessor as a validation platform for time-series and structure discovery methods.« less

Could a Neuroscientist Understand a Microprocessor?

PubMed Central

Kording, Konrad Paul

2017-01-01

There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate the way it processes information. Microprocessors are among those artificial information processing systems that are both complex and that we understand at all levels, from the overall logical flow, via logical gates, to the dynamics of transistors. We show that the approaches reveal interesting structure in the data but do not meaningfully describe the hierarchy of information processing in the microprocessor. This suggests current analytic approaches in neuroscience may fall short of producing meaningful understanding of neural systems, regardless of the amount of data. Additionally, we argue for scientists using complex non-linear dynamical systems with known ground truth, such as the microprocessor as a validation platform for time-series and structure discovery methods. PMID:28081141

Could a Neuroscientist Understand a Microprocessor?

PubMed

Jonas, Eric; Kording, Konrad Paul

2017-01-01

There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate the way it processes information. Microprocessors are among those artificial information processing systems that are both complex and that we understand at all levels, from the overall logical flow, via logical gates, to the dynamics of transistors. We show that the approaches reveal interesting structure in the data but do not meaningfully describe the hierarchy of information processing in the microprocessor. This suggests current analytic approaches in neuroscience may fall short of producing meaningful understanding of neural systems, regardless of the amount of data. Additionally, we argue for scientists using complex non-linear dynamical systems with known ground truth, such as the microprocessor as a validation platform for time-series and structure discovery methods.

Could a neuroscientist understand a microprocessor?

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

Jonas, Eric; Kording, Konrad Paul; Diedrichsen, Jorn

There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods frommore » neuroscience can elucidate the way it processes information. Microprocessors are among those artificial information processing systems that are both complex and that we understand at all levels, from the overall logical flow, via logical gates, to the dynamics of transistors. We show that the approaches reveal interesting structure in the data but do not meaningfully describe the hierarchy of information processing in the microprocessor. This suggests current analytic approaches in neuroscience may fall short of producing meaningful understanding of neural systems, regardless of the amount of data. Furthermore, we argue for scientists using complex non-linear dynamical systems with known ground truth, such as the microprocessor as a validation platform for time-series and structure discovery methods.« less

Detecting Edges in Images by Use of Fuzzy Reasoning

NASA Technical Reports Server (NTRS)

Dominguez, Jesus A.; Klinko, Steve

2003-01-01

A method of processing digital image data to detect edges includes the use of fuzzy reasoning. The method is completely adaptive and does not require any advance knowledge of an image. During initial processing of image data at a low level of abstraction, the nature of the data is indeterminate. Fuzzy reasoning is used in the present method because it affords an ability to construct useful abstractions from approximate, incomplete, and otherwise imperfect sets of data. Humans are able to make some sense of even unfamiliar objects that have imperfect high-level representations. It appears that to perceive unfamiliar objects or to perceive familiar objects in imperfect images, humans apply heuristic algorithms to understand the images

Diversification versus specialization in complex ecosystems.

PubMed

Di Clemente, Riccardo; Chiarotti, Guido L; Cristelli, Matthieu; Tacchella, Andrea; Pietronero, Luciano

2014-01-01

By analyzing the distribution of revenues across the production sectors of quoted firms we suggest a novel dimension that drives the firms diversification process at country level. Data show a non trivial macro regional clustering of the diversification process, which underlines the relevance of geopolitical environments in determining the microscopic dynamics of economic entities. These findings demonstrate the possibility of singling out in complex ecosystems those micro-features that emerge at macro-levels, which could be of particular relevance for decision-makers in selecting the appropriate parameters to be acted upon in order to achieve desirable results. The understanding of this micro-macro information exchange is further deepened through the introduction of a simplified dynamic model.

Diversification versus Specialization in Complex Ecosystems

PubMed Central

Di Clemente, Riccardo; Chiarotti, Guido L.; Cristelli, Matthieu; Tacchella, Andrea; Pietronero, Luciano

2014-01-01

By analyzing the distribution of revenues across the production sectors of quoted firms we suggest a novel dimension that drives the firms diversification process at country level. Data show a non trivial macro regional clustering of the diversification process, which underlines the relevance of geopolitical environments in determining the microscopic dynamics of economic entities. These findings demonstrate the possibility of singling out in complex ecosystems those micro-features that emerge at macro-levels, which could be of particular relevance for decision-makers in selecting the appropriate parameters to be acted upon in order to achieve desirable results. The understanding of this micro-macro information exchange is further deepened through the introduction of a simplified dynamic model. PMID:25384059

The effect of mathematics anxiety on the processing of numerical magnitude.

PubMed

Maloney, Erin A; Ansari, Daniel; Fugelsang, Jonathan A

2011-01-01

In an effort to understand the origins of mathematics anxiety, we investigated the processing of symbolic magnitude by high mathematics-anxious (HMA) and low mathematics-anxious (LMA) individuals by examining their performance on two variants of the symbolic numerical comparison task. In two experiments, a numerical distance by mathematics anxiety (MA) interaction was obtained, demonstrating that the effect of numerical distance on response times was larger for HMA than for LMA individuals. These data support the claim that HMA individuals have less precise representations of numerical magnitude than their LMA peers, suggesting that MA is associated with low-level numerical deficits that compromise the development of higher level mathematical skills.

A Classroom Activity for Teaching Electric Polarization of Insulators and Conductors

NASA Astrophysics Data System (ADS)

Deligkaris, Christos

2018-04-01

The phenomenon of electric polarization is crucial to student understanding of forces exerted between charged objects and insulators or conductors, the process of charging by induction, and the behavior of electroscopes near charged objects. In addition, polarization allows for microscopic-level models of everyday-life macroscopic-level phenomena. Textbooks may adequately discuss polarization, but there is little material in active learning labs and tutorials on this topic. Since polarization of materials is a microscopic phenomenon, instructors often use diagrams and figures on the classroom board to explain the process in a lecture setting. In this paper I will describe a classroom activity where the students play the role of electrons as an alternative option.

Seeking systemic change: risk and protective factors affecting low-income urban youth.

PubMed

Meyerson, David A; Grant, Kathryn E

2014-01-01

This themed issue presents five articles tackling the topic of risk and protective processes affecting children and adolescents living in urban poverty. Through their research, the authors seek understanding of the particular challenges that low-income urban youth face, with the ultimate goal of understanding how best to intervene at various levels of the ecological system. Within this broad theme, studies examine specific stressors, mediators, and moderators that impact the mental health of youth living in urban poverty. The final article presents a data-driven, community-based intervention for this population.

Mapping students' ideas about chemical reactions at different educational levels

NASA Astrophysics Data System (ADS)

Yan, Fan

Understanding chemical reactions is crucial in learning chemistry at all educational levels. Nevertheless, research in science education has revealed that many students struggle to understand chemical processes. Improving teaching and learning about chemical reactions demands that we develop a clearer understanding of student reasoning in this area and of how this reasoning evolves with training in the discipline. Thus, we have carried out a qualitative study using semi-structured interviews as the main data collection tool to explore students reasoning about reaction mechanism and causality. The participants of this study included students at different levels of training in chemistry: general chemistry students (n=22), organic chemistry students (n=16), first year graduate students (n=13) and Ph.D. candidates (n=14). We identified major conceptual modes along critical dimensions of analysis, and illustrated common ways of reasoning using typical cases. Main findings indicate that although significant progress is observed in student reasoning in some areas, major conceptual difficulties seem to persist even at the more advanced educational levels. In addition, our findings suggest that students struggle to integrate important concepts when thinking about mechanism and causality in chemical reactions. The results of our study are relevant to chemistry educators interested in learning progressions, assessment, and conceptual development.

Implementation of cardiovascular disease prevention in primary health care: enhancing understanding using normalisation process theory.

PubMed

Volker, Nerida; Williams, Lauren T; Davey, Rachel C; Cochrane, Thomas; Clancy, Tanya

2017-02-24

The reorientation of primary health care towards prevention is fundamental to addressing the rising burden of chronic disease. However, in Australia, cardiovascular disease prevention practice in primary health care is not generally consistent with existing guidelines. The Model for Prevention study was a whole-of-system cardiovascular disease prevention intervention, with one component being enhanced lifestyle modification support and addition of a health coaching service in the general practice setting. To determine the feasibility of translating intervention outcomes into real world practice, implementation work done by stakeholders was examined using Normalisation Process Theory as a framework. Data was collected through interviews with 40 intervention participants and included general practitioners, practice nurses, practice managers, lifestyle advisors and participants. Data analysis was informed by normalisation process theory constructs. Stakeholders were in agreement that, while prevention is a key function of general practice, it was not their usual work. There were varying levels of engagement with the intervention by practice staff due to staff interest, capacity and turnover, but most staff reconfigured their work for required activities. The Lifestyle Advisors believed staff had varied levels of interest in and understanding of, their service, but most staff felt their role was useful. Patients expanded their existing relationships with their general practice, and most achieved their lifestyle modification goals. While the study highlighted the complex nature of the change required, many of the new or enhanced processes implemented as part of the intervention could be scaled up to improve the systems approach to prevention. Overcoming the barriers to change, such as the perception of CVD prevention as a 'hard sell', is going to rely on improving the value proposition for all stakeholders. The study provided a detailed understanding of the work required to implement a complex cardiovascular disease prevention intervention within general practice. The findings highlighted the need for multiple strategies that engage all stakeholders. Normalisation process theory was a useful framework for guiding change implementation.

Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems

NASA Astrophysics Data System (ADS)

Hunter, Jason M.; Maier, Holger R.; Gibbs, Matthew S.; Foale, Eloise R.; Grosvenor, Naomi A.; Harders, Nathan P.; Kikuchi-Miller, Tahali C.

2018-05-01

Salinity modelling in river systems is complicated by a number of processes, including in-stream salt transport and various mechanisms of saline accession that vary dynamically as a function of water level and flow, often at different temporal scales. Traditionally, salinity models in rivers have either been process- or data-driven. The primary problem with process-based models is that in many instances, not all of the underlying processes are fully understood or able to be represented mathematically. There are also often insufficient historical data to support model development. The major limitation of data-driven models, such as artificial neural networks (ANNs) in comparison, is that they provide limited system understanding and are generally not able to be used to inform management decisions targeting specific processes, as different processes are generally modelled implicitly. In order to overcome these limitations, a generic framework for developing hybrid process and data-driven models of salinity in river systems is introduced and applied in this paper. As part of the approach, the most suitable sub-models are developed for each sub-process affecting salinity at the location of interest based on consideration of model purpose, the degree of process understanding and data availability, which are then combined to form the hybrid model. The approach is applied to a 46 km reach of the Murray River in South Australia, which is affected by high levels of salinity. In this reach, the major processes affecting salinity include in-stream salt transport, accession of saline groundwater along the length of the reach and the flushing of three waterbodies in the floodplain during overbank flows of various magnitudes. Based on trade-offs between the degree of process understanding and data availability, a process-driven model is developed for in-stream salt transport, an ANN model is used to model saline groundwater accession and three linear regression models are used to account for the flushing of the different floodplain storages. The resulting hybrid model performs very well on approximately 3 years of daily validation data, with a Nash-Sutcliffe efficiency (NSE) of 0.89 and a root mean squared error (RMSE) of 12.62 mg L-1 (over a range from approximately 50 to 250 mg L-1). Each component of the hybrid model results in noticeable improvements in model performance corresponding to the range of flows for which they are developed. The predictive performance of the hybrid model is significantly better than that of a benchmark process-driven model (NSE = -0.14, RMSE = 41.10 mg L-1, Gbench index = 0.90) and slightly better than that of a benchmark data-driven (ANN) model (NSE = 0.83, RMSE = 15.93 mg L-1, Gbench index = 0.36). Apart from improved predictive performance, the hybrid model also has advantages over the ANN benchmark model in terms of increased capacity for improving system understanding and greater ability to support management decisions.

Understanding Wave-mean Flow Feedbacks and Tropospheric Annular Variability

NASA Astrophysics Data System (ADS)

Lorenz, D. J.

2016-12-01

The structure of internal tropospheric variability is important for determining the impact of the stratosphere on the troposphere. This study aims to better understand the fundamental dynamical mechanisms that control the feedbacks between the eddies and the mean flow, which in turn select the tropospheric annular mode. Recent work using Rossby Wave Chromatography suggests that "barotropic processes", which directly impact the meridional propagation of wave activity (specifically the reflectivity of the poleward flank of the mid-latitude jet), are more important for the positive feedback between the annular mode and the eddies than "baroclinic processes", which involve changes in the generation of wave activity by baroclinic instability. In this study, experiments with a fully nonlinear quasi-geostrophic model are discussed which provide independent confirmation of the importance of barotropic versus baroclinic processes. The experiments take advantage of the steady-state balance at upper-levels between the meridional gradient in diabatic heating and the second derivative of the upper-level EP flux divergence. Simulations with standard Newtonian heating are compared to simulations with constant-in-time heating taken from the climatology of the standard run and it is found that the forced annular mode response to changes in surface friction is very similar. Moreover, as expected from the annular mode response, the eddy momentum fluxes are also very similar. This is despite the fact that the upper-level EP flux divergence is very different between the two simulations (upper-level EP flux divergence must remain constant in the constant heating simulation while in the standard simulation there is no such constraint). The upper-level balances are maintained by a large change in the baroclinic wave source (i.e. vertical EP flux), which is accompanied by little momentum flux change. Therefore the eddy momentum fluxes appear to be relatively insensitive to the wave activity source. A more detailed comparison suggests a helpful rule-of-thumb relating the amplitude of the baroclinic wave source to the upper-level vorticity flux forced by this wave source.

Neural associative memories for the integration of language, vision and action in an autonomous agent.

PubMed

Markert, H; Kaufmann, U; Kara Kayikci, Z; Palm, G

2009-03-01

Language understanding is a long-standing problem in computer science. However, the human brain is capable of processing complex languages with seemingly no difficulties. This paper shows a model for language understanding using biologically plausible neural networks composed of associative memories. The model is able to deal with ambiguities on the single word and grammatical level. The language system is embedded into a robot in order to demonstrate the correct semantical understanding of the input sentences by letting the robot perform corresponding actions. For that purpose, a simple neural action planning system has been combined with neural networks for visual object recognition and visual attention control mechanisms.

Decoding molecular interactions in microbial communities

PubMed Central

Abreu, Nicole A.; Taga, Michiko E.

2016-01-01

Microbial communities govern numerous fundamental processes on earth. Discovering and tracking molecular interactions among microbes is critical for understanding how single species and complex communities impact their associated host or natural environment. While recent technological developments in DNA sequencing and functional imaging have led to new and deeper levels of understanding, we are limited now by our inability to predict and interpret the intricate relationships and interspecies dependencies within these communities. In this review, we highlight the multifaceted approaches investigators have taken within their areas of research to decode interspecies molecular interactions that occur between microbes. Understanding these principles can give us greater insight into ecological interactions in natural environments and within synthetic consortia. PMID:27417261

Understanding the Acculturation Experience of Chinese Adolescent Students: Sociocultural Adaptation Strategies and a Positive Bicultural and Bilingual Identity

ERIC Educational Resources Information Center

Tong, Virginia M.

2014-01-01

The acculturation of Chinese immigrant high school students was examined as it relates to students' level of interaction with teachers and peers and participation in American school activities. Findings from a regression analysis revealed five variables (sociocultural adaptation strategies) that facilitate students' adjustment process:…

Quest for Accountability: Exploring the Evaluation Process of Universities

ERIC Educational Resources Information Center

Minelli, Eliana; Rebora, Gianfranco; Turri, Matteo

2015-01-01

The article explores the organisational impact of evaluation and control mechanisms on universities from the point of view of accountability. Three case studies are analysed with the aim of understanding the significance of these systems both at corporate governance level and in relation to their influence on the behaviour of the academic staff.…

Program Evaluation. AAHE-ERIC/Higher Education Research Report No. 2, 1980.

ERIC Educational Resources Information Center

Feasley, Charles E.

The major distinctions between evaluation and research are examined, the chief differences being the intent and type of criteria against which judgments are made. Conceptualization of the evaluation process in higher education is discussed on two levels. A collection of nine similes for understanding evaluation is examined in terms of major…

Demonstrating vegetation dynamics using SIMPPLLE

Treesearch

Glenda Scott; Jimmie D. Chew

1997-01-01

Understanding vegetation dynamics, both spatially and temporally, is essential to the management of natural resources. SIMPPLLE has been designed to help us quantify and communicate these concepts: What levels of process, i.e., fire or insect and disease, to expect; how they spread; what the vegetative distribution and composition is over time; and how silvicultural...

Developing Young Adolescents' Self-Regulation by Means of Formative Assessment: A Theoretical Perspective

ERIC Educational Resources Information Center

Meusen-Beekman, Kelly D.; Joosten-ten Brinke, Desirée; Boshuizen, Henny P. A.

2015-01-01

Fostering self-regulated learning (SRL) has become increasingly important at various educational levels. Most studies on SRL have been conducted in higher education. The present literature study aims toward understanding self-regulation processes of students in primary and secondary education. We explored the development of young students'…

78 FR 20320 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-04

...: select from for a random sample, get the survey to the appropriate respondent, and increase response rates. The survey will not be added to this package; instead, it will be processed under a different... Medicaid Services is requesting clearance for two surveys to aid in understanding levels of awareness and...

Project Hill-Climb: Drafting and Design in Motion

ERIC Educational Resources Information Center

Crowl, William F.

2008-01-01

This article describes the Hill-Climb project of a second level Computer-Aided Drafting and Design (CADD) class. The author primarily designed the activity to increase student understanding of the assembly drawing process and its components. The emphasis on problem solving adds a dimension that can aid students in their other classes as well. By…

Students' Quality of Mathematical Discussion and Their Self-Determination in Mathematics

ERIC Educational Resources Information Center

Kosko, Karl W.; Wilkins, Jesse L. M.

2012-01-01

Mathematical discussion allows for students to reflect upon math concepts and understand such concepts at a deeper level. This process of reflection requires a certain amount of internalization on the part of the student. This internalization is facilitated by meeting the needs of autonomy, competence, and relatedness as advocated by…

Automatic Detection of Tutoring Styles Based on Tutors' Behavior

ERIC Educational Resources Information Center

Bendjebar, Safia; Lafifi, Yacine; Zedadra, Amina

2016-01-01

In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In…

Unfolding the Knowledge and Power Dynamics of the "Farmers-Rural Extensionists" Interface in North-Eastern Argentina

ERIC Educational Resources Information Center

Landini, Fernando

2016-01-01

Purpose: In this paper, the knowledge dynamics of the farmer-rural extensionist' interface were explored from extensionists' perspective with the aim of understanding the matchmaking processes between supply and demand of extension services at the micro-level. Design/methodology/approach: Forty semi-structured interviews were conducted with…

Students as Simulation Designers and Developers--Using Computer Simulations for Teaching Boundary Layer Processes.

ERIC Educational Resources Information Center

Johnson, Tristan E.; Clayson, Carol Anne

As technology developments seek to improve learning, researchers, developers, and educators seek to understand how technological properties impact performance. This paper delineates how a traditional science course is enhanced through the use of simulation projects directed by the students themselves as a means to increase their level of knowledge…

The Role of Gratitude in Fostering School Bonding

ERIC Educational Resources Information Center

Furlong, Michael J.; Froh, Jeffrey J.; Muller, Meagan E.; Gonzalez, Victoria

2014-01-01

A body of research has emerged during the past three decades focusing on how students engage in the schooling process and the broader positive developmental outcomes associated with high levels of engagement and lower involvement in high-risk behaviors. This chapter suggests that gratitude might offer a unique contribution for understanding how…

A Functional Neuroimaging Study of the Clinical Reasoning of Medical Students

ERIC Educational Resources Information Center

Chang, Hyung-Joo; Kang, June; Ham, Byung-Joo; Lee, Young-Mee

2016-01-01

As clinical reasoning is a fundamental competence of physicians for good clinical practices, medical academics have endeavored to teach reasoning skills to undergraduate students. However, our current understanding of student-level clinical reasoning is limited, mainly because of the lack of evaluation tools for this internal cognitive process.…

On Analysis of Electrical Engineering Programme in GCC Countries

ERIC Educational Resources Information Center

Memon, Qurban A.

2007-01-01

Electrical engineering (EE) curricula in the Gulf Cooperation Council (GCC) region have gone through an evolutionary process, and are now approaching a maturity level. In order to address academic and local industrial needs in a unified way, a need has been felt to investigate EE curricula in a way that highlights theoretical understanding, design…

Lack of sex-biased dispersal promotes fine-scale genetic structure in alpine ungulates

Treesearch

Gretchen H. Roffler; Sandra L. Talbot; Gordon Luikart; George K. Sage; Kristy L. Pilgrim; Layne G. Adams; Michael K. Schwartz

2014-01-01

Identifying patterns of fine-scale genetic structure in natural populations can advance understanding of critical ecological processes such as dispersal and gene flow across heterogeneous landscapes. Alpine ungulates generally exhibit high levels of genetic structure due to female philopatry and patchy configuration of mountain habitats. We assessed the spatial scale...

Fundamentals of Title IV Administration: From Applying to Creating Reports, 2003-2004.

ERIC Educational Resources Information Center

Office of Federal Student Aid (ED), Washington, DC.

This document provides a Fundamentals of Title IV Administration Workshop Agenda. The agenda includes an introduction and high level overview: the process in general; history of the programs; laws and regulations; and overview of the programs. Following this is a section on applying to participate and understand your school's responsibilities…