Integration into Big Data: First Steps to Support Reuse of Comprehensive Toxicity Model Modules (SOT)

EPA Science Inventory

Data surrounding the needs of human disease and toxicity modeling are largely siloed limiting the ability to extend and reuse modules across knowledge domains. Using an infrastructure that supports integration across knowledge domains (animal toxicology, high-throughput screening...

Toward a Formal Model of the Design and Evolution of Software

DTIC Science & Technology

1988-12-20

should have the flezibiity to support a variety of design methodologies, be compinhenaive enough to encompass the gamut of software lifecycle...the future. It should have the flezibility to support a variety of design methodologies, be comprehensive enough to encompass the gamut of software...variety of design methodologies, be comprehensive enough to encompass the gamut of software lifecycle activities, and be precise enough to provide the

Comprehensive School Reform in New Jersey: Waxing and Waning Support for Model Implementation

ERIC Educational Resources Information Center

Erlichson, Bari Anhalt

2005-01-01

In 1998, the New Jersey Supreme Court ordered schools in 30 urban school districts to adopt comprehensive school reform (CSR) models as a part of the long-running Abbott v. Burke school finance case. Five years later, the Court would relax that mandate, resulting in a major education policy shift as the New Jersey Department of Education formally…

Do Your Homework! Investigating the Role of Culturally Relevant Pedagogy in Comprehensive School Reform Models Serving Diverse Student Populations

ERIC Educational Resources Information Center

Durden, Tonia

2008-01-01

Like the African proverb, "It takes a village to raise a child", many educational researchers charge that it takes a comprehensive school reform to raise student achievement. With the passing of the No Child Left Behind legislation in 2002, national officials authorized the Comprehensive School Reform program to support low performing…

Comprehending Comprehension: Selected Possibilities for Clinical Practice Within a Multidimensional Model.

PubMed

Wallach, Geraldine P; Ocampo, Alaine

2017-04-20

In this discussion as part of a response to Catts and Kamhi's "Prologue: Reading Comprehension Is Not a Single Activity" (2017), the authors provide selected examples from 4th-, 5th-, and 6th-grade texts to demonstrate, in agreement with Catts and Kamhi, that reading comprehension is a multifaceted and complex ability. The authors were asked to provide readers with evidence-based practices that lend support to applications of a multidimensional model of comprehension. We present examples from the reading comprehension literature that support the notion that reading is a complex set of abilities that include a reader's ability, especially background knowledge; the type of text the reader is being asked to comprehend; and the task or technique used in assessment or intervention paradigms. An intervention session from 6th grade serves to demonstrate how background knowledge, a text's demands, and tasks may come together in the real world as clinicians and educators aim to help students comprehend complex material. The authors agree with the conceptual framework proposed by Catts and Kamhi that clinicians and educators should consider the multidimensional nature of reading comprehension (an interaction of reader, text, and task) when creating assessment and intervention programs. The authors might depart slightly by considering, more closely, those reading comprehension strategies that might facilitate comprehension across texts and tasks with an understanding of students' individual needs at different points in time.

"I Can Comprehend...I Just Can't Read Big Words."

ERIC Educational Resources Information Center

Allen, Janet

2003-01-01

Explains how to help students understand the relationship between figuring out words and the ability to comprehend a text. Describes how to solidify the word-learning/comprehension connection via explaining, modeling, and supporting transfer to independence. Concludes that explaining, modeling, and supporting transfer to independence form the…

Individualized Prediction of Reading Comprehension Ability Using Gray Matter Volume.

PubMed

Cui, Zaixu; Su, Mengmeng; Li, Liangjie; Shu, Hua; Gong, Gaolang

2018-05-01

Reading comprehension is a crucial reading skill for learning and putatively contains 2 key components: reading decoding and linguistic comprehension. Current understanding of the neural mechanism underlying these reading comprehension components is lacking, and whether and how neuroanatomical features can be used to predict these 2 skills remain largely unexplored. In the present study, we analyzed a large sample from the Human Connectome Project (HCP) dataset and successfully built multivariate predictive models for these 2 skills using whole-brain gray matter volume features. The results showed that these models effectively captured individual differences in these 2 skills and were able to significantly predict these components of reading comprehension for unseen individuals. The strict cross-validation using the HCP cohort and another independent cohort of children demonstrated the model generalizability. The identified gray matter regions contributing to the skill prediction consisted of a wide range of regions covering the putative reading, cerebellum, and subcortical systems. Interestingly, there were gender differences in the predictive models, with the female-specific model overestimating the males' abilities. Moreover, the identified contributing gray matter regions for the female-specific and male-specific models exhibited considerable differences, supporting a gender-dependent neuroanatomical substrate for reading comprehension.

CCD Analog Programmable Microprocessor (APUP) Study

DTIC Science & Technology

1980-08-01

so important to electronic warfare support measures applicatLons. A comprehensive imager develop- ment program is currently being formulated to... comprehensive treatment of this subject could easily fill a book as it has at least twice in the past (1,2) These textbooks F’ (3)are periodically updated... comprehensive treatment of circuit modeling, the resultant noise predictions are included here as expected values in further describing critical

Applicability of the Compensatory Encoding Model in Foreign Language Reading: An Investigation with Chinese College English Language Learners

PubMed Central

Han, Feifei

2017-01-01

While some first language (L1) reading models suggest that inefficient word recognition and small working memory tend to inhibit higher-level comprehension processes; the Compensatory Encoding Model maintains that slow word recognition and small working memory do not normally hinder reading comprehension, as readers are able to operate metacognitive strategies to compensate for inefficient word recognition and working memory limitation as long as readers process a reading task without time constraint. Although empirical evidence is accumulated for support of the Compensatory Encoding Model in L1 reading, there is lack of research for testing of the Compensatory Encoding Model in foreign language (FL) reading. This research empirically tested the Compensatory Encoding Model in English reading among Chinese college English language learners (ELLs). Two studies were conducted. Study one focused on testing whether reading condition varying time affects the relationship between word recognition, working memory, and reading comprehension. Students were tested on a computerized English word recognition test, a computerized Operation Span task, and reading comprehension in time constraint and non-time constraint reading. The correlation and regression analyses showed that the strength of association was much stronger between word recognition, working memory, and reading comprehension in time constraint than that in non-time constraint reading condition. Study two examined whether FL readers were able to operate metacognitive reading strategies as a compensatory way of reading comprehension for inefficient word recognition and working memory limitation in non-time constraint reading. The participants were tested on the same computerized English word recognition test and Operation Span test. They were required to think aloud while reading and to complete the comprehension questions. The think-aloud protocols were coded for concurrent use of reading strategies, classified into language-oriented strategies, content-oriented strategies, re-reading, pausing, and meta-comment. The correlation analyses showed that while word recognition and working memory were only significantly related to frequency of language-oriented strategies, re-reading, and pausing, but not with reading comprehension. Jointly viewed, the results of the two studies, complimenting each other, supported the applicability of the Compensatory Encoding Model in FL reading with Chinese college ELLs. PMID:28522984

Applicability of the Compensatory Encoding Model in Foreign Language Reading: An Investigation with Chinese College English Language Learners.

PubMed

Han, Feifei

2017-01-01

While some first language (L1) reading models suggest that inefficient word recognition and small working memory tend to inhibit higher-level comprehension processes; the Compensatory Encoding Model maintains that slow word recognition and small working memory do not normally hinder reading comprehension, as readers are able to operate metacognitive strategies to compensate for inefficient word recognition and working memory limitation as long as readers process a reading task without time constraint. Although empirical evidence is accumulated for support of the Compensatory Encoding Model in L1 reading, there is lack of research for testing of the Compensatory Encoding Model in foreign language (FL) reading. This research empirically tested the Compensatory Encoding Model in English reading among Chinese college English language learners (ELLs). Two studies were conducted. Study one focused on testing whether reading condition varying time affects the relationship between word recognition, working memory, and reading comprehension. Students were tested on a computerized English word recognition test, a computerized Operation Span task, and reading comprehension in time constraint and non-time constraint reading. The correlation and regression analyses showed that the strength of association was much stronger between word recognition, working memory, and reading comprehension in time constraint than that in non-time constraint reading condition. Study two examined whether FL readers were able to operate metacognitive reading strategies as a compensatory way of reading comprehension for inefficient word recognition and working memory limitation in non-time constraint reading. The participants were tested on the same computerized English word recognition test and Operation Span test. They were required to think aloud while reading and to complete the comprehension questions. The think-aloud protocols were coded for concurrent use of reading strategies, classified into language-oriented strategies, content-oriented strategies, re-reading, pausing, and meta-comment. The correlation analyses showed that while word recognition and working memory were only significantly related to frequency of language-oriented strategies, re-reading, and pausing, but not with reading comprehension. Jointly viewed, the results of the two studies, complimenting each other, supported the applicability of the Compensatory Encoding Model in FL reading with Chinese college ELLs.

Model Based Mission Assurance: Emerging Opportunities for Robotic Systems

NASA Technical Reports Server (NTRS)

Evans, John W.; DiVenti, Tony

2016-01-01

The emergence of Model Based Systems Engineering (MBSE) in a Model Based Engineering framework has created new opportunities to improve effectiveness and efficiencies across the assurance functions. The MBSE environment supports not only system architecture development, but provides for support of Systems Safety, Reliability and Risk Analysis concurrently in the same framework. Linking to detailed design will further improve assurance capabilities to support failures avoidance and mitigation in flight systems. This also is leading new assurance functions including model assurance and management of uncertainty in the modeling environment. Further, the assurance cases, a structured hierarchal argument or model, are emerging as a basis for supporting a comprehensive viewpoint in which to support Model Based Mission Assurance (MBMA).

The Role of Working Memory in Metaphor Production and Comprehension

ERIC Educational Resources Information Center

Chiappe, Dan L.; Chiappe, Penny

2007-01-01

The following tested Kintsch's [Kintsch, W. (2000). "Metaphor comprehension: a computational theory." "Psychonomic Bulletin & Review," 7, 257-266 and Kintsch, W. (2001). "Predication." "Cognitive Science," 25, 173-202] Predication Model, which predicts that working memory capacity is an important factor in metaphor processing. In support of his…

Rethinking Recommendations for Implementing Comprehensive School Physical Activity Programs: A Partnership Model

ERIC Educational Resources Information Center

Webster, Collin Andrew; Beets, Michael; Weaver, Robert Glenn; Vazou, Spyridoula; Russ, Laura

2015-01-01

Recommended approaches to promoting children's physical activity through schools call for physical education teachers to serve as champions for, and leaders of, Comprehensive School Physical Activity Programs (CSPAPs). Little evidence, however, exists to suggest that physical education teachers are ideally prepared or supported to assume CSPAP…

The Function of Frame in the Comprehension of Scientific Text.

ERIC Educational Resources Information Center

Rossi, Jean Pierre

1990-01-01

One hundred French children in grade five participated in an experiment to determine how the problem frame facilitates comprehension of a problem solution text. Results demonstrate the positive role of frames in macrostructure construction and support the model of T. A. van Dijk and W. Kintsch (1983). (SLD)

Low working memory capacity is only spuriously related to poor reading comprehension

PubMed Central

Van Dyke, Julie A.; Johns, Clinton L.; Kukona, Anuenue

2014-01-01

Accounts of comprehension failure, whether in the case of readers with poor skill or when syntactic complexity is high, have overwhelmingly implicated working memory capacity as the key causal factor. However, extant research suggests that this position is not well supported by evidence on the span of active memory during online sentence processing, nor is it well motivated by models that make explicit claims about the memory mechanisms that support language processing. The current study suggests that sensitivity to interference from similar items in memory may provide a better explanation of comprehension failure. Through administration of a comprehensive skill battery, we found that the previously observed association of working memory with comprehension is likely due to the collinearity of working memory with many other reading-related skills, especially IQ. In analyses which removed variance shared with IQ, we found that receptive vocabulary knowledge was the only significant predictor of comprehension performance in our task out of a battery of 24 skill measures. In addition, receptive vocabulary and non-verbal memory for serial order—but not simple verbal memory or working memory—were the only predictors of reading times in the region where interference had its primary affect. We interpret these results in light of a model that emphasizes retrieval interference and the quality of lexical representations as key determinants of successful comprehension. PMID:24657820

Low working memory capacity is only spuriously related to poor reading comprehension.

PubMed

Van Dyke, Julie A; Johns, Clinton L; Kukona, Anuenue

2014-06-01

Accounts of comprehension failure, whether in the case of readers with poor skill or when syntactic complexity is high, have overwhelmingly implicated working memory capacity as the key causal factor. However, extant research suggests that this position is not well supported by evidence on the span of active memory during online sentence processing, nor is it well motivated by models that make explicit claims about the memory mechanisms that support language processing. The current study suggests that sensitivity to interference from similar items in memory may provide a better explanation of comprehension failure. Through administration of a comprehensive skill battery, we found that the previously observed association of working memory with comprehension is likely due to the collinearity of working memory with many other reading-related skills, especially IQ. In analyses which removed variance shared with IQ, we found that receptive vocabulary knowledge was the only significant predictor of comprehension performance in our task out of a battery of 24 skill measures. In addition, receptive vocabulary and non-verbal memory for serial order-but not simple verbal memory or working memory-were the only predictors of reading times in the region where interference had its primary affect. We interpret these results in light of a model that emphasizes retrieval interference and the quality of lexical representations as key determinants of successful comprehension. Copyright © 2014 Elsevier B.V. All rights reserved.

Fundamental reform of payment for adult primary care: comprehensive payment for comprehensive care.

PubMed

Goroll, Allan H; Berenson, Robert A; Schoenbaum, Stephen C; Gardner, Laurence B

2007-03-01

Primary care is essential to the effective and efficient functioning of health care delivery systems, yet there is an impending crisis in the field due in part to a dysfunctional payment system. We present a fundamentally new model of payment for primary care, replacing encounter-based imbursement with comprehensive payment for comprehensive care. Unlike former iterations of primary care capitation (which simply bundled inadequate fee-for-service payments), our comprehensive payment model represents new investment in adult primary care, with substantial increases in payment over current levels. The comprehensive payment is directed to practices to include support for the modern systems and teams essential to the delivery of comprehensive, coordinated care. Income to primary physicians is increased commensurate with the high level of responsibility expected. To ensure optimal allocation of resources and the rewarding of desired outcomes, the comprehensive payment is needs/risk-adjusted and performance-based. Our model establishes a new social contract with the primary care community, substantially increasing payment in return for achieving important societal health system goals, including improved accessibility, quality, safety, and efficiency. Attainment of these goals should help offset and justify the costs of the investment. Field tests of this and other new models of payment for primary care are urgently needed.

Fundamental Reform of Payment for Adult Primary Care: Comprehensive Payment for Comprehensive Care

PubMed Central

Berenson, Robert A.; Schoenbaum, Stephen C.; Gardner, Laurence B.

2007-01-01

Primary care is essential to the effective and efficient functioning of health care delivery systems, yet there is an impending crisis in the field due in part to a dysfunctional payment system. We present a fundamentally new model of payment for primary care, replacing encounter-based imbursement with comprehensive payment for comprehensive care. Unlike former iterations of primary care capitation (which simply bundled inadequate fee-for-service payments), our comprehensive payment model represents new investment in adult primary care, with substantial increases in payment over current levels. The comprehensive payment is directed to practices to include support for the modern systems and teams essential to the delivery of comprehensive, coordinated care. Income to primary physicians is increased commensurate with the high level of responsibility expected. To ensure optimal allocation of resources and the rewarding of desired outcomes, the comprehensive payment is needs/risk-adjusted and performance-based. Our model establishes a new social contract with the primary care community, substantially increasing payment in return for achieving important societal health system goals, including improved accessibility, quality, safety, and efficiency. Attainment of these goals should help offset and justify the costs of the investment. Field tests of this and other new models of payment for primary care are urgently needed. PMID:17356977

Validation of an Information-Motivation-Behavioral Skills model of diabetes self-care (IMB-DSC).

PubMed

Osborn, Chandra Y; Egede, Leonard E

2010-04-01

Comprehensive behavior change frameworks are needed to provide guidance for the design, implementation, and evaluation of diabetes self-care programs in diverse populations. We applied the Information-Motivation-Behavioral Skills (IMB) model, a well-validated, comprehensive health behavior change framework, to diabetes self-care. Patients with diabetes were recruited from an outpatient clinic. Information gathered pertained to demographics, diabetes knowledge (information); diabetes fatalism (personal motivation); social support (social motivation); and diabetes self-care (behavior). Hemoglobin A1C values were extracted from the patient medical record. Structural equation models tested the IMB framework. More diabetes knowledge (r=0.22 p<0.05), less fatalistic attitudes (r=-0.20, p<0.05), and more social support (r=0.27, p<0.01) were independent, direct predictors of diabetes self-care behavior; and through behavior, were related to glycemic control (r=-0.20, p<0.05). Consistent with the IMB model, having more information (more diabetes knowledge), personal motivation (less fatalistic attitudes), and social motivation (more social support) was associated with behavior; and behavior was the sole predictor of glycemic control. The IMB model is an appropriate, comprehensive health behavior change framework for diabetes self-care. The findings indicate that in addition to knowledge, diabetes education programs should target personal and social motivation to effect behavior change. 2009 Elsevier Ireland Ltd. All rights reserved.

Improving text comprehension: scaffolding adolescents into strategic reading.

PubMed

Ukrainetz, Teresa A

2015-02-01

Understanding and learning from academic texts involves purposeful, strategic reading. Adolescent readers, particularly poor readers, benefit from explicit instruction in text comprehension strategies, such as text preview, summarization, and comprehension monitoring, as part of a comprehensive reading program. However, strategies are difficult to teach within subject area lessons where content instruction must take primacy. Speech-language pathologists (SLPs) have the expertise and service delivery options to support middle and high school students in learning to use comprehension strategies in their academic reading and learning. This article presents the research evidence on what strategies to teach and how best to teach them, including the use of explicit instruction, spoken interactions around text, cognitive modeling, peer learning, classroom connections, and disciplinary literacy. The article focuses on how to move comprehension strategies from being teaching tools of the SLP to becoming learning tools of the student. SLPs can provide the instruction and support needed for students to learn and apply of this important component of academic reading. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Opening up Architectures of Software-Intensive Systems: A Functional Decomposition to Support System Comprehension

DTIC Science & Technology

2007-10-01

Architecture ................................................................................ 14 Figure 2. Eclipse Java Model...16 Figure 3. Eclipse Java Model at the Source Code Level...24 Figure 9. Java Source Code

The anterior temporal lobes support residual comprehension in Wernicke’s aphasia

PubMed Central

Robson, Holly; Zahn, Roland; Keidel, James L.; Binney, Richard J.; Sage, Karen; Lambon Ralph, Matthew A.

2014-01-01

Wernicke’s aphasia occurs after a stroke to classical language comprehension regions in the left temporoparietal cortex. Consequently, auditory–verbal comprehension is significantly impaired in Wernicke’s aphasia but the capacity to comprehend visually presented materials (written words and pictures) is partially spared. This study used functional magnetic resonance imaging to investigate the neural basis of written word and picture semantic processing in Wernicke’s aphasia, with the wider aim of examining how the semantic system is altered after damage to the classical comprehension regions. Twelve participants with chronic Wernicke’s aphasia and 12 control participants performed semantic animate–inanimate judgements and a visual height judgement baseline task. Whole brain and region of interest analysis in Wernicke’s aphasia and control participants found that semantic judgements were underpinned by activation in the ventral and anterior temporal lobes bilaterally. The Wernicke’s aphasia group displayed an ‘over-activation’ in comparison with control participants, indicating that anterior temporal lobe regions become increasingly influential following reduction in posterior semantic resources. Semantic processing of written words in Wernicke’s aphasia was additionally supported by recruitment of the right anterior superior temporal lobe, a region previously associated with recovery from auditory-verbal comprehension impairments. Overall, the results provide support for models in which the anterior temporal lobes are crucial for multimodal semantic processing and that these regions may be accessed without support from classic posterior comprehension regions. PMID:24519979

The anterior temporal lobes support residual comprehension in Wernicke's aphasia.

PubMed

Robson, Holly; Zahn, Roland; Keidel, James L; Binney, Richard J; Sage, Karen; Lambon Ralph, Matthew A

2014-03-01

Wernicke's aphasia occurs after a stroke to classical language comprehension regions in the left temporoparietal cortex. Consequently, auditory-verbal comprehension is significantly impaired in Wernicke's aphasia but the capacity to comprehend visually presented materials (written words and pictures) is partially spared. This study used functional magnetic resonance imaging to investigate the neural basis of written word and picture semantic processing in Wernicke's aphasia, with the wider aim of examining how the semantic system is altered after damage to the classical comprehension regions. Twelve participants with chronic Wernicke's aphasia and 12 control participants performed semantic animate-inanimate judgements and a visual height judgement baseline task. Whole brain and region of interest analysis in Wernicke's aphasia and control participants found that semantic judgements were underpinned by activation in the ventral and anterior temporal lobes bilaterally. The Wernicke's aphasia group displayed an 'over-activation' in comparison with control participants, indicating that anterior temporal lobe regions become increasingly influential following reduction in posterior semantic resources. Semantic processing of written words in Wernicke's aphasia was additionally supported by recruitment of the right anterior superior temporal lobe, a region previously associated with recovery from auditory-verbal comprehension impairments. Overall, the results provide support for models in which the anterior temporal lobes are crucial for multimodal semantic processing and that these regions may be accessed without support from classic posterior comprehension regions.

Effects of supported electronic text and explicit instruction on science comprehension by students with autism spectrum disorder

NASA Astrophysics Data System (ADS)

Knight, Victoria Floyd

Supported electronic text (eText), or text that has been altered to increase access and provide support to learners, may promote comprehension of science content for students with disabilities. According to CAST, Book Builder(TM) uses supported eText to promote reading for meaning for all students. Although little research has been conducted in the area of supported eText for students with autism spectrum disorders (ASD), technology (e.g., computer assisted instruction) has been used for over 35 years to instruct students with ASD in academic areas. The purpose of this study was to evaluate the effects of a supported eText and explicit instruction on the science vocabulary and comprehension of four middle school students with ASD. Researchers used a multiple probe across participants design to evaluate the Book Builder (TM) program on measures of vocabulary, literal comprehension, and application questions. Results indicated a functional relation between the Book Builder(TM) and explicit instruction (i.e., model-lead-test, examples and non-examples, and referral to the definition) and the number of correct responses on the probe. In addition, students were able to generalize concepts to untrained exemplars. Finally, teachers and students validate the program as practical and useful.

Dynamic testing for shuttle design verification

NASA Technical Reports Server (NTRS)

Green, C. E.; Leadbetter, S. A.; Rheinfurth, M. H.

1972-01-01

Space shuttle design verification requires dynamic data from full scale structural component and assembly tests. Wind tunnel and other scaled model tests are also required early in the development program to support the analytical models used in design verification. Presented is a design philosophy based on mathematical modeling of the structural system strongly supported by a comprehensive test program; some of the types of required tests are outlined.

A Model for Statewide Evaluation of a Universal Positive Behavior Support Initiative

ERIC Educational Resources Information Center

Elfner Childs, Karen; Kincaid, Don; George, Heather Peshak

2010-01-01

Several statewide evaluations of Tier 1/Universal Level Positive Behavior Support (PBS) implementation efforts have been conducted, adhering to the evaluation template developed by Horner, Sugai, and Lewis-Palmer in 2005. Building on these examples, Florida's Positive Behavior Support Project developed a comprehensive evaluation system that sought…

Promoting recovery in an evolving policy context: What do we know and what do we need to know about recovery support services?

PubMed Central

Laudet, Alexandre B.; Humphreys, Keith

2013-01-01

As both a concept and a movement, “recovery” is increasingly guiding substance use disorder (SUD) services and policy. One sign of this change is the emergence of recovery support services that attempt to help addicted individuals using a comprehensive continuing care model. This paper reviews the policy environment surrounding recovery support services, the needs to which they should respond, and the status of current recovery support models. We conclude that recovery support services (RSS) should be further assessed for effectiveness and cost-effectiveness, that greater efforts must be made to develop the RSS delivery workforce, and that RSS should capitalize on ongoing efforts to create a comprehensive, integrated and patient-centered health care system. As the SUD treatment system undergoes its most important transformation in at least 40 years, recovery research and the lived experience of recovery from addiction should be central to reform. PMID:23506781

Adoption of Comprehensive School Physical Activity Programs: A Literature Review

ERIC Educational Resources Information Center

Hunt, Kari; Metzler, Michael

2017-01-01

Recent research has provided preliminary insight into the implementation of Comprehensive School Physical Activity Program (CSPAP) components in P-12 schools, but additional empirical support is needed to establish the CSPAP model as a viable conceptual framework. The purpose of this review is to examine the extent to which the CSPAP framework is…

Does Multimedia Support Individual Differences?--EFL Learners' Listening Comprehension and Cognitive Load

ERIC Educational Resources Information Center

Yang, Hui-Yu

2014-01-01

The present study examines how display model, English proficiency and cognitive preference affect English as a Foreign Language (EFL) learners' listening comprehension of authentic videos and cognitive load degree. EFL learners were randomly assigned to one of two groups. The control group received single coding and the experimental group received…

Context updating during sentence comprehension: the effect of aboutness topic.

PubMed

Burmester, Juliane; Spalek, Katharina; Wartenburger, Isabell

2014-10-01

To communicate efficiently, speakers typically link their utterances to the discourse environment and adapt their utterances to the listener's discourse representation. Information structure describes how linguistic information is packaged within a discourse to optimize information transfer. The present study investigates the nature and time course of context integration (i.e., aboutness topic vs. neutral context) on the comprehension of German declarative sentences with either subject-before-object (SO) or object-before-subject (OS) word order using offline comprehensibility judgments and online event-related potentials (ERPs). Comprehensibility judgments revealed that the topic context selectively facilitated comprehension of stories containing OS (i.e., non-canonical) sentences. In the ERPs, the topic context effect was reflected in a less pronounced late positivity at the sentence-initial object. In line with the Syntax-Discourse Model, we argue that these context-induced effects are attributable to reduced processing costs for updating the current discourse model. The results support recent approaches of neurocognitive models of discourse processing. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Model Policies in Support of High Performance School Buildings for All Children

ERIC Educational Resources Information Center

21st Century School Fund, 2006

2006-01-01

Model Policies in Support of High Performance School Buildings for All Children is to begin to create a coherent and comprehensive set of state policies that will provide the governmental infrastructure for effective and creative practice in facility management. There are examples of good policy in many states, but no state has a coherent set of…

Supported employment and education in comprehensive, integrated care for first episode psychosis: Effects on work, school, and disability income.

PubMed

Rosenheck, Robert; Mueser, Kim T; Sint, Kyaw; Lin, Haiqun; Lynde, David W; Glynn, Shirley M; Robinson, Delbert G; Schooler, Nina R; Marcy, Patricia; Mohamed, Somaia; Kane, John M

2017-04-01

Participation in work and school are central objectives for first episode psychosis (FEP) programs, but evidence effectiveness has been mixed in studies not focused exclusively on supported employment and education (SEE). Requirements for current motivation to work or go to school limit the generalizability of such studies. FEP participants (N=404) at thirty-four community treatment clinics participated in a cluster randomized trial that compared usual Community Care (CC) to NAVIGATE, a comprehensive, team-based treatment program that included ≥5h of SEE services per week, , grounded in many of the principles of the Individual Placement and Support model of supported employment combined with supported education services. All study participants were offered SEE regardless of their initial interest in work or school. Monthly assessments over 24months recorded days of employment and attendance at school, days of participation in SEE, and both employment and public support income (including disability income). General Estimation Equation models were used to compare CC and NAVIGATE on work and school participation, employment and public support income, and the mediating effect of receiving ≥3 SEE visits on these outcomes. NAVIGATE treatment was associated with a greater increase in participation in work or school (p=0.0486) and this difference appeared to be mediated by SEE. No group differences were observed in earnings or public support payments. A comprehensive, team-based FEP treatment approach was associated with greater improvement in work or school participation, and this effect appears to be mediated, in part, by participation in SEE. Published by Elsevier B.V.

The Past, Present, and Future of Comprehensive School Reform. Research Brief

ERIC Educational Resources Information Center

Borman, Geoffrey D.

2009-01-01

The last major review of the achievement outcomes of comprehensive school reform (CSR) models was conducted in 2003. Despite the growing evidence base supporting CSR, the program was discontinued by the federal government in 2007. Now, six years after the 2003 meta-analysis, the study's lead author, Geoffrey Borman, revisits the results and…

A pilot demonstration of comprehensive mental health services in inner-city public schools.

PubMed

Walter, Heather J; Gouze, Karen; Cicchetti, Colleen; Arend, Richard; Mehta, Tara; Schmidt, Janet; Skvarla, Madelynn

2011-04-01

National policy statements increasingly espouse the delivery of comprehensive mental health services in schools. In response to the limited evidence supporting this recommendation, the purpose of this study was to assess the need for, and feasibility, desirability, and outcomes of a full model of comprehensive mental health services in 2 public elementary schools in inner-city neighborhoods. The program, based upon a national model for comprehensive school mental health services, comprised universal and indicated preventive as well as clinical interventions designed to target needs identified in a baseline screening survey. The program was implemented over 1 school year by mental health professionals in collaboration with school teachers. Mental health outcomes comparing baseline to follow-up data were assessed in multiple domains among students and teachers. After 1 year of intervention, students had significantly fewer mental health difficulties, less functional impairment, and improved behavior, and reported improved mental health knowledge, attitudes, beliefs, and behavioral intentions. Teachers reported significantly greater proficiency in managing mental health problems in their classrooms. School staff overwhelmingly endorsed satisfaction with the program. If the observed favorable findings from this pilot demonstration can be replicated in methodologically rigorous studies, additional support would be garnered for national policy recommendations about comprehensive school mental health services. © 2011, American School Health Association.

Assessing and forecasting population health: integrating knowledge and beliefs in a comprehensive framework.

PubMed

Van Meijgaard, Jeroen; Fielding, Jonathan E; Kominski, Gerald F

2009-01-01

A comprehensive population health-forecasting model has the potential to interject new and valuable information about the future health status of the population based on current conditions, socioeconomic and demographic trends, and potential changes in policies and programs. Our Health Forecasting Model uses a continuous-time microsimulation framework to simulate individuals' lifetime histories by using birth, risk exposures, disease incidence, and death rates to mark changes in the state of the individual. The model generates a reference forecast of future health in California, including details on physical activity, obesity, coronary heart disease, all-cause mortality, and medical expenditures. We use the model to answer specific research questions, inform debate on important policy issues in public health, support community advocacy, and provide analysis on the long-term impact of proposed changes in policies and programs, thus informing stakeholders at all levels and supporting decisions that can improve the health of populations.

Remote Sensing Technologies and Geospatial Modelling Hierarchy for Smart City Support

NASA Astrophysics Data System (ADS)

Popov, M.; Fedorovsky, O.; Stankevich, S.; Filipovich, V.; Khyzhniak, A.; Piestova, I.; Lubskyi, M.; Svideniuk, M.

2017-12-01

The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented. The hierarchical structure and basic components of the smart city information support subsystem are considered. Some of the already available useful practical developments are described. These include city land use planning, urban vegetation analysis, thermal condition forecasting, geohazard detection, flooding risk assessment. Remote sensing data fusion approach for comprehensive geospatial analysis is discussed. Long-term city development forecasting by Forrester - Graham system dynamics model is provided over Kiev urban area.

Developmental Changes in Early Comprehension and Production of Drawings: Evidence From Two Socioeconomic Backgrounds.

PubMed

Salsa, Analía M; Vivaldi, Romina

2017-01-01

Two studies examined young children's comprehension and production of representational drawings across and within 2 socioeconomic strata (SES). Participants were 130 middle-SES (MSES) and low-SES (LSES) Argentine children, from 30 to 60 months old, given a task with 2 phases, production and comprehension. The production phase assessed free drawing and drawings from simple 3-dimensional objects (model drawing); the comprehension phase assessed children's understanding of an adult's line drawings of the objects. MSES children solved the comprehension phase of the task within the studied age range; representational production emerged first in model drawing (42 months) and later in free drawing (48 months). The same developmental pathway was observed in LSES children but with a clear asynchrony in the age of onset of comprehension and production: Children understood the symbolic nature of drawings at 42 months old and the first representational drawings were found at 60 months old. These results provide empirical evidence that support the crucial influence of social experiences by organizing and constraining graphic development.

Back-support large laser mirror unit: mounting modeling and analysis

NASA Astrophysics Data System (ADS)

Wang, Hui; Zhang, Zheng; Long, Kai; Liu, Tianye; Li, Jun; Liu, Changchun; Xiong, Zhao; Yuan, Xiaodong

2018-01-01

In high-power laser system, the surface wavefront of large optics has a close link with its structure design and mounting method. The back-support transport mirror design is presently being investigated as a means in China's high-power laser system to hold the optical component firmly while minimizing the distortion of its reflecting surface. We have proposed a comprehensive analytical framework integrated numerical modeling and precise metrology for the mirror's mounting performance evaluation while treating the surface distortion as a key decision variable. The combination of numerical simulation and field tests demonstrates that the comprehensive analytical framework provides a detailed and accurate approach to evaluate the performance of the transport mirror. It is also verified that the back-support transport mirror is effectively compatible with state-of-the-art optical quality specifications. This study will pave the way for future research to solidify the design of back-support large laser optics in China's next generation inertial confinement fusion facility.

Towards a model of contemporary parenting: the parenting behaviours and dimensions questionnaire.

PubMed

Reid, Carly A Y; Roberts, Lynne D; Roberts, Clare M; Piek, Jan P

2015-01-01

The assessment of parenting has been problematic due to theoretical disagreement, concerns over generalisability, and problems with the psychometric properties of current parenting measures. The aim of this study was to develop a comprehensive, psychometrically sound self-report parenting measure for use with parents of preadolescent children, and to use this empirical scale development process to identify the core dimensions of contemporary parenting behaviour. Following item generation and parent review, 846 parents completed an online survey comprising 116 parenting items. Exploratory and confirmatory factor analyses supported a six factor parenting model, comprising Emotional Warmth, Punitive Discipline, Anxious Intrusiveness, Autonomy Support, Permissive Discipline and Democratic Discipline. This measure will allow for the comprehensive and consistent assessment of parenting in future research and practice.

The Strategic Instruction Model: The Less Addressed Aspects of Effective Instruction for High School Students with Learning Disabilities

ERIC Educational Resources Information Center

Hock, Michael F.; Bulgren, Janis A.; Brasseur-Hock, Irma F.

2017-01-01

In this article, we discuss research supporting the Strategic Instruction Model's™ (SIM) effort to address higher order reasoning and thinking skills in two lines of programmatic research. We review the extant body of evidence supporting the two lines of the SIM library, the Content Enhancement Routines and a comprehensive reading program, and the…

Effect of Preschool Working Memory, Language, and Narrative Abilities on Inferential Comprehension at School-Age in Children with Spina Bifida Myelomeningocele and Typically Developing Children

PubMed Central

Pike, Meredith; Swank, Paul; Taylor, Heather; Landry, Susan; Barnes, Marcia A.

2014-01-01

Children with spina bifida myelomeningocele (SBM) are more likely to display a pattern of good-decoding/poor comprehension than their neurologically intact peers. The goals of the current study were to (1) examine the cognitive origins of one of the component skills of comprehension, bridging inferences, from a developmental perspective and (2) to test the effects of those relations on reading comprehension achievement. Data from a sample of children with SBM and a control group (n = 78) who participated in a longitudinal study were taken from age 36-month and 9.5-year time points. A multiple mediation model provided evidence that three preschool cognitive abilities (working memory/inhibitory control, oral comprehension, narrative recall), could partially explain the relation between group and bridging inference skill. A second mediation model supported that each of the 36-month abilities had an indirect effect on reading comprehension through bridging inference skill. Findings contribute to an understanding of both typical and atypical comprehension development, blending theories from the developmental, cognitive, and neuropsychological literature. PMID:23388065

Effect of preschool working memory, language, and narrative abilities on inferential comprehension at school-age in children with spina bifida myelomeningocele and typically developing children.

PubMed

Pike, Meredith; Swank, Paul; Taylor, Heather; Landry, Susan; Barnes, Marcia A

2013-04-01

Children with spina bifida myelomeningocele (SBM) are more likely to display a pattern of good-decoding/poor comprehension than their neurologically intact peers. The goals of the current study were to (1) examine the cognitive origins of one of the component skills of comprehension, bridging inferences, from a developmental perspective and (2) to test the effects of those relations on reading comprehension achievement. Data from a sample of children with SBM and a control group (n = 78) who participated in a longitudinal study were taken from age 36-month and 9.5-year time points. A multiple mediation model provided evidence that three preschool cognitive abilities (working memory/inhibitory control, oral comprehension, narrative recall), could partially explain the relation between group and bridging inference skill. A second mediation model supported that each of the 36-month abilities had an indirect effect on reading comprehension through bridging inference skill. Findings contribute to an understanding of both typical and atypical comprehension development, blending theories from the developmental, cognitive, and neuropsychological literature.

Examining General and Specific Factors in the Dimensionality of Oral Language and Reading in 4th–10th Grades

PubMed Central

Foorman, Barbara R.; Koon, Sharon; Petscher, Yaacov; Mitchell, Alison; Truckenmiller, Adrea

2015-01-01

The objective of this study was to explore dimensions of oral language and reading and their influence on reading comprehension in a relatively understudied population—adolescent readers in 4th through 10th grades. The current study employed latent variable modeling of decoding fluency, vocabulary, syntax, and reading comprehension so as to represent these constructs with minimal error and to examine whether residual variance unaccounted for by oral language can be captured by specific factors of syntax and vocabulary. A 1-, 3-, 4-, and bifactor model were tested with 1,792 students in 18 schools in 2 large urban districts in the Southeast. Students were individually administered measures of expressive and receptive vocabulary, syntax, and decoding fluency in mid-year. At the end of the year students took the state reading test as well as a group-administered, norm-referenced test of reading comprehension. The bifactor model fit the data best in all 7 grades and explained 72% to 99% of the variance in reading comprehension. The specific factors of syntax and vocabulary explained significant unique variance in reading comprehension in 1 grade each. The decoding fluency factor was significantly correlated with the reading comprehension and oral language factors in all grades, but, in the presence of the oral language factor, was not significantly associated with the reading comprehension factor. Results support a bifactor model of lexical knowledge rather than the 3-factor model of the Simple View of Reading, with the vast amount of variance in reading comprehension explained by a general oral language factor. PMID:26346839

GREENER CHEMICAL PROCESS DESIGN ALTERNATIVES ARE REVEALED USING THE WASTE REDUCTION DECISION SUPPORT SYSTEM (WAR DSS)

EPA Science Inventory

The Waste Reduction Decision Support System (WAR DSS) is a Java-based software product providing comprehensive modeling of potential adverse environmental impacts (PEI) predicted to result from newly designed or redesigned chemical manufacturing processes. The purpose of this so...

An Approach to Comprehensive and Sustainable Solar Wind Model Validation

NASA Astrophysics Data System (ADS)

Rastaetter, L.; MacNeice, P. J.; Mays, M. L.; Boblitt, J. M.; Wiegand, C.

2017-12-01

The number of models of the corona and inner heliosphere and of their updates and upgrades grows steadily, as does the number and character of the model inputs. Maintaining up to date validation of these models, in the face of this constant model evolution, is a necessary but very labor intensive activity. In the last year alone, both NASA's LWS program and the CCMC's ongoing support of model forecasting activities at NOAA SWPC have sought model validation reports on the quality of all aspects of the community's coronal and heliospheric models, including both ambient and CME related wind solutions at L1. In this presentation I will give a brief review of the community's previous model validation results of L1 wind representation. I will discuss the semi-automated web based system we are constructing at the CCMC to present comparative visualizations of all interesting aspects of the solutions from competing models.This system is designed to be easily queried to provide the essential comprehensive inputs to repeat andupdate previous validation studies and support extensions to them. I will illustrate this by demonstrating how the system is being used to support the CCMC/LWS Model Assessment Forum teams focused on the ambient and time dependent corona and solar wind, including CME arrival time and IMF Bz.I will also discuss plans to extend the system to include results from the Forum teams addressing SEP model validation.

Building Intercultural Competency in the Language Immersion Montessori Classroom

ERIC Educational Resources Information Center

Carver-Akers, Kateri

2013-01-01

In her article entitled, "Theoretical Reflections: Intercultural Framework / Model" Darla Deardorff provides the Pyramid Model of Cultural Competency. At the bottom of the pyramid she places three "Requisite Attitudes," which support the remaining three blocks above ("Knowledge & Comprehension/Skills,"…

The Cattell-Horn-Carroll Model of Cognition for Clinical Assessment

ERIC Educational Resources Information Center

Jewsbury, Paul A.; Bowden, Stephen C.; Duff, Kevin

2017-01-01

The Cattell-Horn-Carroll (CHC) model is a comprehensive model of the major dimensions of individual differences that underlie performance on cognitive tests. Studies evaluating the generality of the CHC model across test batteries, age, gender, and culture were reviewed and found to be overwhelmingly supportive. However, less research is available…

Response to Intervention and the Pyramid Model

ERIC Educational Resources Information Center

Fox, Lise; Carta, Judith; Strain, Phil; Dunlap, Glen; Hemmeter, Mary Louise

2009-01-01

Response to Intervention (RtI) offers a comprehensive model for the prevention of delays in learning and behavior. While this problem-solving framework was initially designed for application within Kindergarten to 12th grade programs, there is substantial research that supports the value of the model for application within early childhood…

Drugs and Crime: An Empirically Based, Interdisciplinary Model

ERIC Educational Resources Information Center

Quinn, James F.; Sneed, Zach

2008-01-01

This article synthesizes neuroscience findings with long-standing criminological models and data into a comprehensive explanation of the relationship between drug use and crime. The innate factors that make some people vulnerable to drug use are conceptually similar to those that predict criminality, supporting a spurious reciprocal model of the…

Patient Education and Support During CKD Transitions: When the Possible Becomes Probable.

PubMed

Green, Jamie A; Boulware, L Ebony

2016-07-01

Patients transitioning from kidney disease to kidney failure require comprehensive patient-centered education and support. Efforts to prepare patients for this transition often fail to meet patients' needs due to uncertainty about which patients will progress to kidney failure, nonindividualized patient education programs, inadequate psychosocial support, or lack of assistance to guide patients through complex treatment plans. Resources are available to help overcome barriers to providing optimal care during this time, including prognostic tools, educational lesson plans, decision aids, communication skills training, peer support, and patient navigation programs. New models are being studied to comprehensively address patients' needs and improve the lives of kidney patients during this high-risk time. Copyright © 2016 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

ParentLink: A Model of Integration and Support for Parents.

ERIC Educational Resources Information Center

Mertensmeyer, Carol; Fine, Mark

2000-01-01

Discusses ParentLink, a collective of Missouri organizations and agencies striving to simplify parents' access to research-based information, services, and problem-solving support pertaining to parenting. It is based on systems theory, specifically the ecology of human development. A comprehensive array of technologies augments ParentLink…

Supporting Comprehensive, Integrated, Three-Tiered Models of Prevention in Schools: Administrators' Perspectives

ERIC Educational Resources Information Center

Lane, Kathleen Lynne; Carter, Erik W.; Jenkins, Abbie; Dwiggins, Lauren; Germer, Kathryn

2015-01-01

We report findings from a statewide survey of 365 site-level administrators developed to (a) learn about the extent to which schools across the state were implementing components of multi-tiered systems of support and (b) determine the areas in which these schools might need professional development or resources to support them. At least half of…

Moving towards a Comprehensive Approach for Health Literacy Interventions: The Development of a Health Literacy Intervention Model.

PubMed

Geboers, Bas; Reijneveld, Sijmen A; Koot, Jaap A R; de Winter, Andrea F

2018-06-15

Low health literacy (HL) is associated with many negative health outcomes, and is a major challenge in public health and healthcare. Interventions to improve outcomes associated with HL are needed. In this paper, we aim to develop a comprehensive HL intervention model. We used a multimethod approach, consisting of (1) a literature review of articles listed in MEDLINE, presenting HL intervention models, (2) online consultation of international HL experts, and (3) two consensus meetings with members ( n = 36 and 27) of a consortium studying HL among older adults (50+) in Europe. In our literature review, we identified twenty-two HL models, only a few of which focused explicitly on interventions. Sixty-eight health literacy experts took part in the online survey. The results from all three methods came together in a comprehensive HL intervention model. This model conceptualized interventions as potentially targeting five factors affecting HL outcomes: (1) individuals’ personal characteristics, (2) individuals’ social context, (3) communication between individuals and health professionals, (4) health professionals’ HL capacities, and (5) health systems. Our model is the first comprehensive HL model focused specifically on interventions. The model can support the further development of HL interventions to improve the health outcomes of people with low HL.

Comprehensive smoke-free policies attract more support from smokers in Europe than partial policies

PubMed Central

Nagelhout, Gera E.; Guignard, Romain; McNeill, Ann; van den Putte, Bas; Willemsen, Marc C.; Brenner, Hermann; Pötschke-Langer, Martina; Breitling, Lutz P.

2012-01-01

Background: Support for smoke-free policies increases over time and particularly after implementation of the policy. In this study we examined whether the comprehensiveness of such policies moderates the effect on support among smokers. Methods: We analysed two waves (pre- and post-smoke-free legislation) of the International Tobacco Control (ITC) surveys in France, Germany, and the Netherlands, and two pre-legislation waves of the ITC surveys in UK as control. Of 6,903 baseline smokers, 4,945 (71.6%) could be followed up and were included in the analyses. Generalised Estimating Equations (GEE) were used to compare changes in support from pre- to post-legislation to the secular trend in the control country. Multiple logistic regression models were employed to identify predictors of individual change in support. Findings: In France, the comprehensive smoking ban was associated with sharp increases in support for a total smoking ban in drinking establishments and restaurants that were above secular trends. In Germany and the Netherlands, where smoke-free policies and compliance are especially deficient in drinking establishments, only support for a total smoking ban in restaurants increased above the secular trend. Notable prospective predictors of becoming supportive of smoking bans in these countries were higher awareness of cigarette smoke being dangerous to others and weekly visiting of restaurants. Conclusions: Our findings suggest that smoke-free policies have the potential to improve support once the policy is in place. This effect seems to be most pronounced with comprehensive smoking bans, which thus might be the most valid option for policy-makers despite their potential for creating controversy and resistance in the beginning. PMID:22294779

Pedestrians’ behavior in emergency evacuation: Modeling and simulation

NASA Astrophysics Data System (ADS)

Wang, Lei; Zheng, Jie-Hui; Zhang, Xiao-Shuang; Zhang, Jian-Lin; Wang, Qiu-Zhen; Zhang, Qian

2016-11-01

The social force model has been widely used to simulate pedestrian evacuation by analyzing attractive, repulsive, driving, and fluctuating forces among pedestrians. Many researchers have improved its limitations in simulating behaviors of large-scale population. This study modifies the well-accepted social force model by considering the impacts of interaction among companions and further develops a comprehensive model by combining that with a multi-exit utility function. Then numerical simulations of evacuations based on the comprehensive model are implemented in the waiting hall of the Wulin Square Subway Station in Hangzhou, China. The results provide safety thresholds of pedestrian density and panic levels in different operation situations. In spite of the operation situation and the panic level, a larger friend-group size results in lower evacuation efficiency. Our study makes important contributions to building a comprehensive multi-exit social force model and to applying it to actual scenarios, which produces data to facilitate decision making in contingency plans and emergency treatment. Project supported by the National Natural Science Foundation of China (Grant No. 71471163).

Towards a Model of Contemporary Parenting: The Parenting Behaviours and Dimensions Questionnaire

PubMed Central

Reid, Carly A. Y.; Roberts, Lynne D.; Roberts, Clare M.; Piek, Jan P.

2015-01-01

The assessment of parenting has been problematic due to theoretical disagreement, concerns over generalisability, and problems with the psychometric properties of current parenting measures. The aim of this study was to develop a comprehensive, psychometrically sound self-report parenting measure for use with parents of preadolescent children, and to use this empirical scale development process to identify the core dimensions of contemporary parenting behaviour. Following item generation and parent review, 846 parents completed an online survey comprising 116 parenting items. Exploratory and confirmatory factor analyses supported a six factor parenting model, comprising Emotional Warmth, Punitive Discipline, Anxious Intrusiveness, Autonomy Support, Permissive Discipline and Democratic Discipline. This measure will allow for the comprehensive and consistent assessment of parenting in future research and practice. PMID:26043107

Position of the American Dietetic Association, Society for Nutrition Education, and American School Food Service Association--Nutrition services: an essential component of comprehensive school health programs.

PubMed

Briggs, Marilyn; Safaii, SeAnne; Beall, Deborah Lane

2003-04-01

It is the position of the American Dietetic Association (ADA), the Society for Nutrition Education (SNE), and the American School Food Service Association (ASFSA) that comprehensive nutrition services must be provided to all of the nation's preschool through grade twelve students. These nutrition services shall be integrated with a coordinated, comprehensive school health program and implemented through a school nutrition policy. The policy should link comprehensive, sequential nutrition education; access to and promotion of child nutrition programs providing nutritious meals and snacks in the school environment; and family, community, and health services' partnerships supporting positive health outcomes for all children. Childhood obesity has reached epidemic proportions and is directly attributed to physical inactivity and diet. Schools can play a key role in reversing this trend through coordinated nutrition services that promote policies linking comprehensive, sequential nutrition education programs, access to and marketing of child nutrition programs, a school environment that models healthy food choices, and community partnerships. This position paper provides information and resources for nutrition professionals to use in developing and supporting comprehensive school health programs. J Am Diet Assoc. 2003;103:505-514.

Effect of social support on informed consent in older adults with Parkinson disease and their caregivers.

PubMed

Ford, M E; Kallen, M; Richardson, P; Matthiesen, E; Cox, V; Teng, E J; Cook, K F; Petersen, N J

2008-01-01

To evaluate the effects of social support on comprehension and recall of consent form information in a study of Parkinson disease patients and their caregivers. Comparison of comprehension and recall outcomes among participants who read and signed the consent form accompanied by a family member/friend versus those of participants who read and signed the consent form unaccompanied. Comprehension and recall of consent form information were measured at one week and one month respectively, using Part A of the Quality of Informed Consent Questionnaire (QuIC). The mean age of the sample of 143 participants was 71 years (SD = 8.6 years). Analysis of covariance was used to compare QuIC scores between the intervention group (n = 70) and control group (n = 73). In the 1-week model, no statistically significant intervention effect was found (p = 0.860). However, the intervention status by patient status interaction was statistically significant (p = 0.012). In the 1-month model, no statistically significant intervention effect was found (p = 0.480). Again, however, the intervention status by patient status interaction was statistically significant (p = 0.040). At both time periods, intervention group patients scored higher (better) on the QuIC than did intervention group caregivers, and control group patients scored lower (worse) on the QuIC than did control group caregivers. Social support played a significant role in enhancing comprehension and recall of consent form information among patients.

Community Coordinated Modeling Center Support of Science Needs for Integrated Data Environment

NASA Technical Reports Server (NTRS)

Kuznetsova, M. M.; Hesse, M.; Rastatter, L.; Maddox, M.

2007-01-01

Space science models are essential component of integrated data environment. Space science models are indispensable tools to facilitate effective use of wide variety of distributed scientific sources and to place multi-point local measurements into global context. The Community Coordinated Modeling Center (CCMC) hosts a set of state-of-the- art space science models ranging from the solar atmosphere to the Earth's upper atmosphere. The majority of models residing at CCMC are comprehensive computationally intensive physics-based models. To allow the models to be driven by data relevant to particular events, the CCMC developed an online data file generation tool that automatically downloads data from data providers and transforms them to required format. CCMC provides a tailored web-based visualization interface for the model output, as well as the capability to download simulations output in portable standard format with comprehensive metadata and user-friendly model output analysis library of routines that can be called from any C supporting language. CCMC is developing data interpolation tools that enable to present model output in the same format as observations. CCMC invite community comments and suggestions to better address science needs for the integrated data environment.

Contextual Development: Situating the Social Change Model of Leadership Development within a Broader Reality of Comprehensive Support

ERIC Educational Resources Information Center

Whitten-Andrews, Jeanie

2016-01-01

The social change model has proven an effective and widely utilized model assisting college students in leadership development toward positive social change. However, while this particular model gives much needed attention to the process of development leading to social change, it fails to acknowledge the external factors which significantly…

Rapid, Agile Modeling Support for Human-Computer Interface Conceptual Design

DTIC Science & Technology

2008-12-01

12 5.6 COLIDES MODEL ...........................................................................................................12 5.7 LATENT...on the screen. This limitation is dealt with in the CoLiDeS model. 5.6 COLIDES MODEL CoLiDeS is an acronym for Comprehension-based Link model of...Deliberate Search (Blackmon, Kitajima, Polson, 2005; Blackmon, Kitajima, Polson, 2003; Blackmon, Polson, Kitajima , and Lewis, 2005). CoLideS is

Model Preservation Program for a Small University Library.

ERIC Educational Resources Information Center

Robbins, Louise S.

This report proposes a preservation program assuming a model of a university library serving 5,000 or fewer students and 350 or fewer faculty members. The model program is not for a comprehensive university or research institution, and the library's collection is one developed and used as a curriculum-support collection. The goal of the…

Comprehending expository texts: the dynamic neurobiological correlates of building a coherent text representation

PubMed Central

Swett, Katherine; Miller, Amanda C.; Burns, Scott; Hoeft, Fumiko; Davis, Nicole; Petrill, Stephen A.; Cutting, Laurie E.

2013-01-01

Little is known about the neural correlates of expository text comprehension. In this study, we sought to identify neural networks underlying expository text comprehension, how those networks change over the course of comprehension, and whether information central to the overall meaning of the text is functionally distinct from peripheral information. Seventeen adult subjects read expository passages while being scanned using functional magnetic resonance imaging (fMRI). By convolving phrase onsets with the hemodynamic response function (HRF), we were able to identify regions that increase and decrease in activation over the course of passage comprehension. We found that expository text comprehension relies on the co-activation of the semantic control network and regions in the posterior midline previously associated with mental model updating and integration [posterior cingulate cortex (PCC) and precuneus (PCU)]. When compared to single word comprehension, left PCC and left Angular Gyrus (AG) were activated only for discourse-level comprehension. Over the course of comprehension, reliance on the same regions in the semantic control network increased, while a parietal region associated with attention [intraparietal sulcus (IPS)] decreased. These results parallel previous findings in narrative comprehension that the initial stages of mental model building require greater visuospatial attention processes, while maintenance of the model increasingly relies on semantic integration regions. Additionally, we used an event-related analysis to examine phrases central to the text's overall meaning vs. peripheral phrases. It was found that central ideas are functionally distinct from peripheral ideas, showing greater activation in the PCC and PCU, while over the course of passage comprehension, central and peripheral ideas increasingly recruit different parts of the semantic control network. The finding that central information elicits greater response in mental model updating regions than peripheral ideas supports previous behavioral models on the cognitive importance of distinguishing textual centrality. PMID:24376411

The effect of a rehabilitation nursing intervention model on improving the comprehensive health status of patients with hand burns.

PubMed

Li, Lin; Dai, Jia-Xi; Xu, Le; Huang, Zhen-Xia; Pan, Qiong; Zhang, Xi; Jiang, Mei-Yun; Chen, Zhao-Hong

2017-06-01

To observe the effect of a rehabilitation intervention on the comprehensive health status of patients with hand burns. Most studies of hand-burn patients have focused on functional recovery. There have been no studies involving a biological-psychological-social rehabilitation model of hand-burn patients. A randomized controlled design was used. Patients with hand burns were recruited to the study, and sixty patients participated. Participants were separated into two groups: (1) The rehabilitation intervention model group (n=30) completed the rehabilitation intervention model, which included the following measures: enhanced social support, intensive health education, comprehensive psychological intervention, and graded exercise. (2) The control group (n=30) completed routine treatment. Intervention lasted 5 weeks. Analysis of variance (ANOVA) and Student's t test were conducted. The rehabilitation intervention group had significantly better scores than the control group for comprehensive health, physical function, psychological function, social function, and general health. The differences between the index scores of the two groups were statistically significant. The rehabilitation intervention improved the comprehensive health status of patients with hand burns and has favorable clinical application. The comprehensive rehabilitation intervention model used here provides scientific guidance for medical staff aiming to improve the integrated health status of hand-burn patients and accelerate their recovery. What does this paper contribute to the wider global clinical community? Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

What Is the Evidence Base to Support Reading Interventions for Improving Student Outcomes in Grades 1-3? REL 2017-271

ERIC Educational Resources Information Center

Gersten, Russell; Newman-Gonchar, Rebecca; Haymond, Kelly S.; Dimino, Joseph

2017-01-01

Response to intervention (RTI) is a comprehensive early detection and prevention strategy used to identify and support struggling students before they fall behind. An RTI model usually has three tiers or levels of support. Tier 1 is generally defined as classroom instruction provided to all students, tier 2 is typically a preventive intervention…

Text Mapping Plus: Improving Comprehension through Supported Retellings

ERIC Educational Resources Information Center

Lapp, Diane; Fisher, Douglas; Johnson, Kelly

2010-01-01

Modeled in this column is the teaching of a text mapping routine that supports students reading and remembering the salient features of the text. The authors renamed the story mapping technique "text mapping plus" because they found that as students added relational words and graphics to their maps their retells of both fiction and nonnarrative…

Migrant & Seasonal Head Start Mental Health Services Checklist: Supporting MSHS Mental Health Programs

ERIC Educational Resources Information Center

Academy for Educational Development, 2006

2006-01-01

This is a checklist of suggested systems, policies and procedures for supporting Mental Health and wellness services within Migrant & Seasonal Head Start programs. This checklist was developed in accordance with the Head Start Program Performance Standards and represents a comprehensive best practice model. In this checklist you will find…

RAMP and PBIS: "They Definitely Support One Another": The Results of a Phenomenological Study (Part One)

ERIC Educational Resources Information Center

Goodman-Scott, Emily; Grothaus, Tim

2018-01-01

Scholars have explored the impact of comprehensive school counseling programs on student outcomes, including those programs that garnered the RAMP (Recognized ASCA [American School Counselor Association] Model Program) designation. A surfeit of empirical examinations of positive behavioral interventions and supports (PBIS) outcomes also are…

Training Inference Making Skills Using a Situation Model Approach Improves Reading Comprehension

PubMed Central

Bos, Lisanne T.; De Koning, Bjorn B.; Wassenburg, Stephanie I.; van der Schoot, Menno

2016-01-01

This study aimed to enhance third and fourth graders’ text comprehension at the situation model level. Therefore, we tested a reading strategy training developed to target inference making skills, which are widely considered to be pivotal to situation model construction. The training was grounded in contemporary literature on situation model-based inference making and addressed the source (text-based versus knowledge-based), type (necessary versus unnecessary for (re-)establishing coherence), and depth of an inference (making single lexical inferences versus combining multiple lexical inferences), as well as the type of searching strategy (forward versus backward). Results indicated that, compared to a control group (n = 51), children who followed the experimental training (n = 67) improved their inference making skills supportive to situation model construction. Importantly, our training also resulted in increased levels of general reading comprehension and motivation. In sum, this study showed that a ‘level of text representation’-approach can provide a useful framework to teach inference making skills to third and fourth graders. PMID:26913014

Decision support systems and the healthcare strategic planning process: a case study.

PubMed

Lundquist, D L; Norris, R M

1991-01-01

The repertoire of applications that comprises health-care decision support systems (DSS) includes analyses of clinical, financial, and operational activities. As a whole, these applications facilitate developing comprehensive and interrelated business and medical models that support the complex decisions required to successfully manage today's health-care organizations. Kennestone Regional Health Care System's use of DSS to facilitate strategic planning has precipitated marked changes in the organization's method of determining capital allocations. This case study discusses Kennestone's use of DSS in the strategic planning process, including profiles of key DSS modeling components.

Situated sentence processing: the coordinated interplay account and a neurobehavioral model.

PubMed

Crocker, Matthew W; Knoeferle, Pia; Mayberry, Marshall R

2010-03-01

Empirical evidence demonstrating that sentence meaning is rapidly reconciled with the visual environment has been broadly construed as supporting the seamless interaction of visual and linguistic representations during situated comprehension. Based on recent behavioral and neuroscientific findings, however, we argue for the more deeply rooted coordination of the mechanisms underlying visual and linguistic processing, and for jointly considering the behavioral and neural correlates of scene-sentence reconciliation during situated comprehension. The Coordinated Interplay Account (CIA; Knoeferle, P., & Crocker, M. W. (2007). The influence of recent scene events on spoken comprehension: Evidence from eye movements. Journal of Memory and Language, 57(4), 519-543) asserts that incremental linguistic interpretation actively directs attention in the visual environment, thereby increasing the salience of attended scene information for comprehension. We review behavioral and neuroscientific findings in support of the CIA's three processing stages: (i) incremental sentence interpretation, (ii) language-mediated visual attention, and (iii) the on-line influence of non-linguistic visual context. We then describe a recently developed connectionist model which both embodies the central CIA proposals and has been successfully applied in modeling a range of behavioral findings from the visual world paradigm (Mayberry, M. R., Crocker, M. W., & Knoeferle, P. (2009). Learning to attend: A connectionist model of situated language comprehension. Cognitive Science). Results from a new simulation suggest the model also correlates with event-related brain potentials elicited by the immediate use of visual context for linguistic disambiguation (Knoeferle, P., Habets, B., Crocker, M. W., & Münte, T. F. (2008). Visual scenes trigger immediate syntactic reanalysis: Evidence from ERPs during situated spoken comprehension. Cerebral Cortex, 18(4), 789-795). Finally, we argue that the mechanisms underlying interpretation, visual attention, and scene apprehension are not only in close temporal synchronization, but have co-adapted to optimize real-time visual grounding of situated spoken language, thus facilitating the association of linguistic, visual and motor representations that emerge during the course of our embodied linguistic experience in the world. Copyright 2009 Elsevier Inc. All rights reserved.

Global payment contract attitudes and comprehension among internal medicine physicians.

PubMed

Allen-Dicker, Joshua; Herzig, Shoshana J; Kerbel, Russell

2015-08-01

Global payment contracts (GPCs) are increasingly common agreements between insurance payers and healthcare providers that incorporate aspects of risk adjustment, capitation, and pay-for-performance. Physicians are often viewed as potential barriers to implementation of organizational change, but little is known about internist opinion on GPC involvement or specific internist attributes that might predict GPC support. We aimed to investigate internist and internal medicine subspecialist support of GPC involvement, and to identify associations among physician attributes, GPC knowledge, and GPC support. Cross-sectional. General medicine and internal medicine subspecialist physicians within the Beth Israel Deaconess Department of Medicine in Boston, Massachusetts, were surveyed 4 years after care organization entry into a GPC. Measurements collected included reported support for GPC involvement, reason for support, and demonstrated comprehension of key GPC details. Of the 281 respondents (49% response rate), 85% reported supporting involvement in a GPC. In a multivariate ordinal logistic regression model, exposure to prior information about GPCs, demonstrated comprehension of key GPC details, longer time since completion of residency, and lower clinical time commitment were all independently associated with higher levels of GPC involvement support. Four years since first engaging in a global payment contract, a majority of internal medicine physician respondents support this decision. Understanding predictors of physician support for GPC involvement within our care organization may help other health systems to approach organizational change. Health system leaders debating GPC involvement should consider engaging physicians via educational interventions geared toward improving GPC support.

The Alternative Peer Group: A Developmentally Appropriate Recovery Support Model for Adolescents.

PubMed

Nash, Angela; Collier, Crystal

2016-01-01

Recovery as the goal for substance use disorder treatment has been a key component of the Substance Abuse and Mental Health Services Administration's mission for the past decade. Consistent with their mission, there is a call for research and development of recovery-oriented systems of care to support affected individuals through all stages of the recovery process. Evidence is emerging to support recovery practice and research for adults, but recovery-oriented models for adolescents are scant. The Alternative Peer Group (APG) is a comprehensive adolescent recovery support model that integrates recovering peers and prosocial activities into evidence-based clinical practice. Employing APG participants' own words, this article will describe the essential elements and three theoretical frameworks underlying the APG model to illustrate how the APG serves as a developmentally appropriate recovery support service for adolescents with substance use disorder.

Perceived justice and popular support for public health laws: a case study around comprehensive smoke-free legislation in Mexico City.

PubMed

Thrasher, James F; Besley, John C; González, Wendy

2010-03-01

The World Health Organization's Framework Convention on Tobacco Control promotes comprehensive smoke-free laws. The effective implementation of these laws requires citizen participation and support. Risk communication research suggests that citizens' perceptions of the fairness of smoke-free laws would help explain their support for the law. This study aimed to assess the factors that correlate with citizens' perceptions of the distributive, procedural and interpersonal justice of smoke-free laws, as well as how these perceptions are related to support for and intention to help enforce these laws. Study data came from a cross-sectional, population-based survey of 800 Mexico City inhabitants before a comprehensive smoke-free policy was implemented there in 2008. Structural equation modeling was used to estimate the bivariate and multivariate adjusted paths relating study variables. In the final multivariate model, the three justice concepts mediated the influence of smoking status, perceived dangers of secondhand smoke exposure, strength of home smoking ban, and perceived rights of smokers on the two distal constructs of support for smoke-free policy and intention to help enforce it. Statistically significant paths were estimated from distributive and procedural justice to support for the law and intention help enforce it. The path from interpersonal justice to support for the law was not significant, but the path to intention to help enforce the law was. Finally, the path from support for the law to the intention to enforce it was statistically significant. These results suggest that three distinct dimensions of perceived justice help explain citizen support for smoke-free policies. These dimensions of perceived justice may explain the conditions under which smoke-free policies are effectively implemented and could help shape the focus for communication strategies that aim to ensure effective implementation of this and other public health policies. 2009 Elsevier Ltd. All rights reserved.

A comprehensive dairy valorization model.

PubMed

Banaszewska, A; Cruijssen, F; van der Vorst, J G A J; Claassen, G D H; Kampman, J L

2013-02-01

Dairy processors face numerous challenges resulting from both unsteady dairy markets and some specific characteristics of dairy supply chains. To maintain a competitive position on the market, companies must look beyond standard solutions currently used in practice. This paper presents a comprehensive dairy valorization model that serves as a decision support tool for mid-term allocation of raw milk to end products and production planning. The developed model was used to identify the optimal product portfolio composition. The model allocates raw milk to the most profitable dairy products while accounting for important constraints (i.e., recipes, composition variations, dairy production interdependencies, seasonality, demand, supply, capacities, and transportation flows). The inclusion of all relevant constraints and the ease of understanding dairy production dynamics make the model comprehensive. The developed model was tested at the international dairy processor FrieslandCampina (Amersfoort, the Netherlands). The structure of the model and its output were discussed in multiple sessions with and approved by relevant FrieslandCampina employees. The elements included in the model were considered necessary to optimally valorize raw milk. To illustrate the comprehensiveness and functionality of the model, we analyzed the effect of seasonality on milk valorization. A large difference in profit and a shift in the allocation of milk showed that seasonality has a considerable impact on the valorization of raw milk. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Early Start Denver Model for Young Children with Autism: Promoting Language, Learning, and Engagement

ERIC Educational Resources Information Center

Rogers, Sally J.; Dawson, Geraldine

2009-01-01

From leading authorities, this state-of-the-art manual presents the Early Start Denver Model (ESDM), the first comprehensive, empirically tested intervention specifically designed for toddlers and preschoolers with autism. Supported by the principles of developmental psychology and applied behavior analysis, ESDM's intensive teaching interventions…

Manufacturing Licorice: Modeling with Data in Third Grade

ERIC Educational Resources Information Center

English, Lyn D.

2017-01-01

This paper reports on a study of 3rd-grade students' modeling with data, which involves comprehensive investigations that draw upon STEM-based concepts, contexts, and questions, and generate products supported by evidence and open to informal inferential thinking. Within a real-world STEM-based context of licorice manufacturing, students…

The SCERTS[TM] Model: A Comprehensive Educational Approach for Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Prizant, Barry M.; Wetherby, Amy M.; Rubin, Emily; Laurent, Amy C.; Rydell, Patrick J.

2005-01-01

A groundbreaking synthesis of developmental, relationship-based, and skill-based approaches, The SCERTS[TM] Model provides a framework for improving communication and social-emotional abilities in individuals with autism spectrum disorders (ASD) and their families. Developed by internationally recognized experts, SCERTS[TM] supports developmental…

Examining Multiple Parenting Behaviors on Young Children's Dietary Fat Consumption

ERIC Educational Resources Information Center

Eisenberg, Christina M.; Ayala, Guadalupe X.; Crespo, Noe C.; Lopez, Nanette V.; Zive, Michelle Murphy; Corder, Kirsten; Wood, Christine; Elder, John P.

2012-01-01

Objective: To understand the association between parenting and children's dietary fat consumption, this study tested a comprehensive model of parenting that included parent household rules, parent modeling of rules, parent mediated behaviors, and parent support. Design: Cross-sectional. Setting: Baseline data from the "MOVE/me Muevo"…

Middle School Children's Problem-Solving Behavior: A Cognitive Analysis from a Reading Comprehension Perspective

ERIC Educational Resources Information Center

Pape, Stephen J.

2004-01-01

Many children read mathematics word problems and directly translate them to arithmetic operations. More sophisticated problem solvers transform word problems into object-based or mental models. Subsequent solutions are often qualitatively different because these models differentially support cognitive processing. Based on a conception of problem…

Using Eye Movements to Model the Sequence of Text-Picture Processing for Multimedia Comprehension

ERIC Educational Resources Information Center

Mason, L.; Scheiter, K.; Tornatora, M. C.

2017-01-01

This study used eye movement modeling examples (EMME) to support students' integrative processing of verbal and graphical information during the reading of an illustrated text. EMME consists of a replay of eye movements of a model superimposed onto the materials that are processed for accomplishing the task. Specifically, the study investigated…

Kin and Youths in the Social Networks of Youth-Headed Households in Namibia

ERIC Educational Resources Information Center

Ruiz-Casares, Monica

2010-01-01

In settings highly affected by HIV/AIDS, households headed by children may result from strained family relations, poverty, and stigma associated with the disease. Understanding local systems and dynamics of support is essential to planning comprehensive models of care. This study measured size and composition of the support and conflict networks…

Multisyllabic Word Reading as a Moderator of Morphological Awareness and Reading Comprehension

PubMed Central

Gilbert, Jennifer K.; Goodwin, Amanda P.; Compton, Donald L.; Kearns, Devin M.

2013-01-01

The purpose of this study was to investigate whether the relation between morphological awareness on reading comprehension is moderated by multisyllabic word reading ability in fifth grade students (N = 169, 53.7% female, 65.2% minority status, 69.2% free/reduced lunch status), oversampled for poor reading skill, when controlling for general knowledge and vocabulary. Based on the lexical quality hypothesis (Perfetti, 2007), it was expected that morphological awareness would have a stronger effect on comprehension for children with poor word reading skills, suggesting possible use of morphological awareness for word identification support. Results indicated that neither morphological awareness nor word reading was uniquely associated with reading comprehension when both were included in the model along with vocabulary and general knowledge. Instead, the interaction between word reading and morphological awareness explained significant additional variance in reading comprehension. By probing this interaction, it was determined that the effect of morphological awareness on reading comprehension was significant for the 39% of the sample that had more difficulty reading multisyllabic words), but not for students at the higher end of the multisyllabic word reading continuum. We conclude from these results that the relation between morphological awareness and reading comprehension is moderated by multisyllabic word reading ability, providing support for the lexical quality hypothesis (Perfetti, 2007). Although we have only correlational data, we suggest tentative instructional practices for improving the reading skill of upper elementary struggling readers. PMID:24219914

Research on the spatial analysis method of seismic hazard for island

NASA Astrophysics Data System (ADS)

Jia, Jing; Jiang, Jitong; Zheng, Qiuhong; Gao, Huiying

2017-05-01

Seismic hazard analysis(SHA) is a key component of earthquake disaster prevention field for island engineering, whose result could provide parameters for seismic design microscopically and also is the requisite work for the island conservation planning’s earthquake and comprehensive disaster prevention planning macroscopically, in the exploitation and construction process of both inhabited and uninhabited islands. The existing seismic hazard analysis methods are compared in their application, and their application and limitation for island is analysed. Then a specialized spatial analysis method of seismic hazard for island (SAMSHI) is given to support the further related work of earthquake disaster prevention planning, based on spatial analysis tools in GIS and fuzzy comprehensive evaluation model. The basic spatial database of SAMSHI includes faults data, historical earthquake record data, geological data and Bouguer gravity anomalies data, which are the data sources for the 11 indices of the fuzzy comprehensive evaluation model, and these indices are calculated by the spatial analysis model constructed in ArcGIS’s Model Builder platform.

Comprehensive Numerical Simulation of Filling and Solidification of Steel Ingots

PubMed Central

Pola, Annalisa; Gelfi, Marcello; La Vecchia, Giovina Marina

2016-01-01

In this paper, a complete three-dimensional numerical model of mold filling and solidification of steel ingots is presented. The risk of powder entrapment and defects formation during filling is analyzed in detail, demonstrating the importance of using a comprehensive geometry, with trumpet and runner, compared to conventional simplified models. By using a case study, it was shown that the simplified model significantly underestimates the defects sources, reducing the utility of simulations in supporting mold and process design. An experimental test was also performed on an instrumented mold and the measurements were compared to the calculation results. The good agreement between calculation and trial allowed validating the simulation. PMID:28773890

Promoting Persistence through Comprehensive Student Supports

ERIC Educational Resources Information Center

McDonnell, Rachel Pleasants; Soricone, Lisa

2014-01-01

This publication was developed to support the colleges Jobs For the Future (JFF) works with through Accelerating Opportunity, as well as other institutions in search of strategies to enhance their capacity to provide comprehensive supports. The goal of this paper is to provide clarity on what it means to provide comprehensive support services,…

Development of a Landforms Model for Puerto Rico and its Application for Land Cover Change Analysis

Treesearch

Sebastian Martinuzzi; William A. Gould; Olga M. Ramos Gonzalez; Brook E. Edwards

2007-01-01

Comprehensive analysis of land morphology is essential to supporting a wide range environmental studies. We developed a landforms model that identifies eleven landform units for Puerto Rico based on parameters of land position and slope. The model is capable of extracting operational information in a simple way and is adaptable to different environments and objectives...

FRamework Assessing Notorious Contributing Influences for Error (FRANCIE): Perspective on Taxonomy Development to Support Error Reporting and Analysis

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

Lon N. Haney; David I. Gertman

2003-04-01

Beginning in the 1980s a primary focus of human reliability analysis was estimation of human error probabilities. However, detailed qualitative modeling with comprehensive representation of contextual variables often was lacking. This was likely due to the lack of comprehensive error and performance shaping factor taxonomies, and the limited data available on observed error rates and their relationship to specific contextual variables. In the mid 90s Boeing, America West Airlines, NASA Ames Research Center and INEEL partnered in a NASA sponsored Advanced Concepts grant to: assess the state of the art in human error analysis, identify future needs for human errormore » analysis, and develop an approach addressing these needs. Identified needs included the need for a method to identify and prioritize task and contextual characteristics affecting human reliability. Other needs identified included developing comprehensive taxonomies to support detailed qualitative modeling and to structure meaningful data collection efforts across domains. A result was the development of the FRamework Assessing Notorious Contributing Influences for Error (FRANCIE) with a taxonomy for airline maintenance tasks. The assignment of performance shaping factors to generic errors by experts proved to be valuable to qualitative modeling. Performance shaping factors and error types from such detailed approaches can be used to structure error reporting schemes. In a recent NASA Advanced Human Support Technology grant FRANCIE was refined, and two new taxonomies for use on space missions were developed. The development, sharing, and use of error taxonomies, and the refinement of approaches for increased fidelity of qualitative modeling is offered as a means to help direct useful data collection strategies.« less

Alternative methods for developing external travel survey data.

DOT National Transportation Integrated Search

2010-10-01

The Texas Department of Transportation (TxDOT) has a comprehensive on-going travel survey : program that supports the travel demand models being developed for transportation planning efforts in urban : areas throughout Texas. One component of the sur...

Design features of on-line anatomy information resources: a comparison with the Digital Anatomist.

PubMed

Kim, S; Brinkley, J F; Rosse, C

1999-01-01

In order to update the design of the next generation of the Digital Anatomist, we have surveyed teaching assistants who have used the Digital Anatomist for learning and teaching anatomy as medical students, and have also examined available anatomy web sites with sufficient content to support learning. The majority of web sites function in an atlas mode and provide for the identification of structures. These atlases incorporate a variety of features for interactivity with 2D images, some of which are not available in the Digital Anatomist. The surveys suggest that the greatest need is for on-line access to comprehensive and detailed anatomical information and for the development of knowledge-based methods that allow the direct manipulation of segmented 3D graphical models by the user. The requirement for such interactivity is a comprehensive symbolic model of the physical organization of the body that can support inference.

Science IDEAS: A Research-Based K-5 Interdisciplinary Instructional Model Linking Science and Literacy

ERIC Educational Resources Information Center

Romance, Nancy R.; Vitale, Michael R.

2012-01-01

Science IDEAS is an evidence-based model that reflects interdisciplinary research findings that support the integration of literacy (e.g., reading comprehension) within science instruction in grades K-5. Presented is a framework for planning integrated science and literacy instruction in which six elements (hands-on investigations, reading,…

Fiery Passion and Relentless Commitment: The Lived Experiences of African American Women Principals in Turnaround Model Schools

ERIC Educational Resources Information Center

Aldaco, Adrienne L. Gratten

2016-01-01

Chronically low performing schools in the United States have required targeted support and interventions to increase student achievement. In recent years, the school turnaround model has emerged as a swift, dramatic, comprehensive approach to implementing interventions in the lowest performing schools (Calkins, Guenther, Belfiore, & Lash,…

Genome re-sequencing reveals the history of apple and supports a two-stage model for fruit enlargement

USDA-ARS?s Scientific Manuscript database

Human selection has reshaped crop genomes. Here we report an apple genome variation map generated through genome sequencing of 117 diverse accessions. A comprehensive model of apple speciation and domestication along the Silk Road was proposed based on evidence from diverse genomic analyses. Cultiva...

An Analysis of Resources To Aid Drug-Exposed Infants and Their Families.

ERIC Educational Resources Information Center

Budetti, Peter; And Others

This document describes a comprehensive service delivery model for drug-exposed infants and their families, provides a compendium of programs and funding sources that target the needs of these families, and delineates areas in need of financial support and further exploration. Development of the model required a literature review, interviews, and…

Battling the War for Talent: An Application in a Military Context

ERIC Educational Resources Information Center

Schreurs, Bert H. J.; Syed, Fariya

2011-01-01

Purpose: The purpose of this paper is to introduce a comprehensive new recruitment model that brings together research findings in the different areas of recruitment. This model may serve as a general framework for further recruitment research, and is intended to support Human Resource managers in developing their recruitment policy. To highlight…

Occupational hazard evaluation model underground coal mine based on unascertained measurement theory

NASA Astrophysics Data System (ADS)

Deng, Quanlong; Jiang, Zhongan; Sun, Yaru; Peng, Ya

2017-05-01

In order to study how to comprehensively evaluate the influence of several occupational hazard on miners’ physical and mental health, based on unascertained measurement theory, occupational hazard evaluation indicator system was established to make quantitative and qualitative analysis. Determining every indicator weight by information entropy and estimating the occupational hazard level by credible degree recognition criteria, the evaluation model was programmed by Visual Basic, applying the evaluation model to occupational hazard comprehensive evaluation of six posts under a coal mine, and the occupational hazard degree was graded, the evaluation results are consistent with actual situation. The results show that dust and noise is most obvious among the coal mine occupational hazard factors. Excavation face support workers are most affected, secondly, heading machine drivers, coal cutter drivers, coalface move support workers, the occupational hazard degree of these four types workers is II mild level. The occupational hazard degree of ventilation workers and safety inspection workers is I level. The evaluation model could evaluate underground coal mine objectively and accurately, and can be employed to the actual engineering.

Computer support for physiological cell modelling using an ontology on cell physiology.

PubMed

Takao, Shimayoshi; Kazuhiro, Komurasaki; Akira, Amano; Takeshi, Iwashita; Masanori, Kanazawa; Tetsuya, Matsuda

2006-01-01

The development of electrophysiological whole cell models to support the understanding of biological mechanisms is increasing rapidly. Due to the complexity of biological systems, comprehensive cell models, which are composed of many imported sub-models of functional elements, can get quite complicated as well, making computer modification difficult. Here, we propose a computer support to enhance structural changes of cell models, employing the markup languages CellML and our original PMSML (physiological model structure markup language), in addition to a new ontology for cell physiological modelling. In particular, a method to make references from CellML files to the ontology and a method to assist manipulation of model structures using markup languages together with the ontology are reported. Using these methods three software utilities, including a graphical model editor, are implemented. Experimental results proved that these methods are effective for the modification of electrophysiological models.

Revealing and quantifying the impaired phonological analysis underpinning impaired comprehension in Wernicke's aphasia.

PubMed

Robson, Holly; Keidel, James L; Ralph, Matthew A Lambon; Sage, Karen

2012-01-01

Wernicke's aphasia is a condition which results in severely disrupted language comprehension following a lesion to the left temporo-parietal region. A phonological analysis deficit has traditionally been held to be at the root of the comprehension impairment in Wernicke's aphasia, a view consistent with current functional neuroimaging which finds areas in the superior temporal cortex responsive to phonological stimuli. However behavioural evidence to support the link between a phonological analysis deficit and auditory comprehension has not been yet shown. This study extends seminal work by Blumstein, Baker, and Goodglass (1977) to investigate the relationship between acoustic-phonological perception, measured through phonological discrimination, and auditory comprehension in a case series of Wernicke's aphasia participants. A novel adaptive phonological discrimination task was used to obtain reliable thresholds of the phonological perceptual distance required between nonwords before they could be discriminated. Wernicke's aphasia participants showed significantly elevated thresholds compared to age and hearing matched control participants. Acoustic-phonological thresholds correlated strongly with auditory comprehension abilities in Wernicke's aphasia. In contrast, nonverbal semantic skills showed no relationship with auditory comprehension. The results are evaluated in the context of recent neurobiological models of language and suggest that impaired acoustic-phonological perception underlies the comprehension impairment in Wernicke's aphasia and favour models of language which propose a leftward asymmetry in phonological analysis. Copyright © 2011 Elsevier Ltd. All rights reserved.

The Need for District Support for School Reform: What the Researchers Say. Research Brief.

ERIC Educational Resources Information Center

Appelbaum, Deborah

This article focuses on the school district's role in implementing Comprehensive School Reform (CSR). Research shows that effective district support for CSR varies from district to district. This is due, in part, to the fact that many prior models bypassed the district, operating under the belief that reform would be more effective if it targeted…

6-D, A Process Framework for the Design and Development of Web-based Systems.

ERIC Educational Resources Information Center

Christian, Phillip

2001-01-01

Explores how the 6-D framework can form the core of a comprehensive systemic strategy and help provide a supporting structure for more robust design and development while allowing organizations to support whatever methods and models best suit their purpose. 6-D stands for the phases of Web design and development: Discovery, Definition, Design,…

Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements

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

Li, Zhijin; Sha, Feng; Liu, Yangang

2016-02-02

This five-year award supports the project “Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements (FASTER)”. The goal of this project is to produce accurate, consistent and comprehensive data sets for initializing both single column models (SCMs) and cloud resolving models (CRMs) using data assimilation. A multi-scale three-dimensional variational data assimilation scheme (MS-3DVAR) has been implemented. This MS-3DVAR system is built on top of WRF/GSI. The Community Gridpoint Statistical Interpolation (GSI) system is an operational data assimilation system at the National Centers for Environmental Prediction (NCEP) and has been implemented in the Weather Research and Forecast (WRF) model.more » This MS-3DVAR is further enhanced by the incorporation of a land surface 3DVAR scheme and a comprehensive aerosol 3DVAR scheme. The data assimilation implementation focuses in the ARM SGP region. ARM measurements are assimilated along with other available satellite and radar data. Reanalyses are then generated for a few selected period of time. This comprehensive data assimilation system has also been employed for other ARM-related applications.« less

76 FR 54004 - Agency Information Collection (Joint Application for Comprehensive Assistance and Support...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-30

... Application for Comprehensive Assistance and Support Services for Family Caregivers) Activity Under OMB Review... INFORMATION: Title: Joint Application for Comprehensive Assistance and Support Services for Family Caregivers... financial benefits under the Caregiver Program. Individuals designated as primary or secondary family...

Ecological models supporting environmental decision making: a strategy for the future

USGS Publications Warehouse

Schmolke, Amelie; Thorbek, Pernille; DeAngelis, Donald L.; Grimm, Volker

2010-01-01

Ecological models are important for environmental decision support because they allow the consequences of alternative policies and management scenarios to be explored. However, current modeling practice is unsatisfactory. A literature review shows that the elements of good modeling practice have long been identified but are widely ignored. The reasons for this might include lack of involvement of decision makers, lack of incentives for modelers to follow good practice, and the use of inconsistent terminologies. As a strategy for the future, we propose a standard format for documenting models and their analyses: transparent and comprehensive ecological modeling (TRACE) documentation. This standard format will disclose all parts of the modeling process to scrutiny and make modeling itself more efficient and coherent.

Sustainable Telemedicine: Designing and Building Infrastructure to Support a Comprehensive Telemedicine Practice.

PubMed

Kreofsky, Beth L H; Blegen, R Nicole; Lokken, Troy G; Kapraun, Susan M; Bushman, Matthew S; Demaerschalk, Bart M

2018-04-16

Telemedicine services in medical institutions are often developed in isolation of one another and not as part of a comprehensive telemedicine program. The Center for Connected Care is the administrative home for a broad range of telehealth services at Mayo Clinic. This article speaks of real-time video services, referenced as telemedicine throughout. This article discusses how a large healthcare system designed and built the infrastructure to support a comprehensive telemedicine practice. Based on analysis of existing services, Mayo Clinic developed a multifaceted operational plan that addressed high-priority areas and outlined clear roles and responsibilities of the Center for Connected Care and that of the clinical departments. The plan set priorities and a direction that would lead to long-term success. The plan articulated the governing and operational infrastructure necessary to support telemedicine by defining the role of the Center for Connected Care as the owner of core administrative operations and the role of the clinical departments as the owners of clinical telemedicine services. Additional opportunities were identified to develop product selection processes, implementation services, and staffing models that would be applied to ensure successful telemedicine deployment. The telemedicine team within the Center for Connected Care completed 45 business cases resulting in 54 implementations. The standardization of core products along with key operational offerings around implementation services, and the establishment of a 24/7 support model resulted in improved provider satisfaction and fewer reported technical issues. The foundation for long-term scalability and growth was developed by centralizing operations of telemedicine services, implementing sustainable processes, employing dedicated qualified personnel, and deploying robust products.

Neural correlates and network connectivity underlying narrative production and comprehension: a combined fMRI and PET study.

PubMed

AbdulSabur, Nuria Y; Xu, Yisheng; Liu, Siyuan; Chow, Ho Ming; Baxter, Miranda; Carson, Jessica; Braun, Allen R

2014-08-01

The neural correlates of narrative production and comprehension remain poorly understood. Here, using positron emission tomography (PET), functional magnetic resonance imaging (fMRI), contrast and functional network connectivity analyses we comprehensively characterize the neural mechanisms underlying these complex behaviors. Eighteen healthy subjects told and listened to fictional stories during scanning. In addition to traditional language areas (e.g., left inferior frontal and posterior middle temporal gyri), both narrative production and comprehension engaged regions associated with mentalizing and situation model construction (e.g., dorsomedial prefrontal cortex, precuneus and inferior parietal lobules) as well as neocortical premotor areas, such as the pre-supplementary motor area and left dorsal premotor cortex. Narrative comprehension alone showed marked bilaterality, activating right hemisphere homologs of perisylvian language areas. Narrative production remained predominantly left lateralized, uniquely activating executive and motor-related regions essential to language formulation and articulation. Connectivity analyses revealed strong associations between language areas and the superior and middle temporal gyri during both tasks. However, only during storytelling were these same language-related regions connected to cortical and subcortical motor regions. In contrast, during story comprehension alone, they were strongly linked to regions supporting mentalizing. Thus, when employed in a more complex, ecologically-valid context, language production and comprehension show both overlapping and idiosyncratic patterns of activation and functional connectivity. Importantly, in each case the language system is integrated with regions that support other cognitive and sensorimotor domains. Copyright © 2014. Published by Elsevier Ltd.

Linking statistically-and physically-based models for improved streamflow simulation in gaged and ungaged watersheds

Treesearch

Jacob LaFontaine; Lauren Hay; Stacey Archfield; William Farmer; Julie Kiang

2016-01-01

The U.S. Geological Survey (USGS) has developed a National Hydrologic Model (NHM) to support coordinated, comprehensive and consistent hydrologic model development, and facilitate the application of hydrologic simulations within the continental US. The portion of the NHM located within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) is...

Comprehensive process model of clinical information interaction in primary care: results of a "best-fit" framework synthesis.

PubMed

Veinot, Tiffany C; Senteio, Charles R; Hanauer, David; Lowery, Julie C

2018-06-01

To describe a new, comprehensive process model of clinical information interaction in primary care (Clinical Information Interaction Model, or CIIM) based on a systematic synthesis of published research. We used the "best fit" framework synthesis approach. Searches were performed in PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, Library and Information Science Abstracts, Library, Information Science and Technology Abstracts, and Engineering Village. Two authors reviewed articles according to inclusion and exclusion criteria. Data abstraction and content analysis of 443 published papers were used to create a model in which every element was supported by empirical research. The CIIM documents how primary care clinicians interact with information as they make point-of-care clinical decisions. The model highlights 3 major process components: (1) context, (2) activity (usual and contingent), and (3) influence. Usual activities include information processing, source-user interaction, information evaluation, selection of information, information use, clinical reasoning, and clinical decisions. Clinician characteristics, patient behaviors, and other professionals influence the process. The CIIM depicts the complete process of information interaction, enabling a grasp of relationships previously difficult to discern. The CIIM suggests potentially helpful functionality for clinical decision support systems (CDSSs) to support primary care, including a greater focus on information processing and use. The CIIM also documents the role of influence in clinical information interaction; influencers may affect the success of CDSS implementations. The CIIM offers a new framework for achieving CDSS workflow integration and new directions for CDSS design that can support the work of diverse primary care clinicians.

Tier 2 Team Processes and Decision-Making in a Comprehensive Three-Tiered Model

ERIC Educational Resources Information Center

Pool, Juli L.; Carter, Deborah Russell; Johnson, Evelyn S.

2013-01-01

Three-tiered models of academic and behavioral support are being increasingly adopted across the nation, and with that adoption has come an increasing message that designing and implementing effective practices alone is not enough. Systems are needed to help staff to collectively implement best practices. These systems, as well as effective…

Strategic Planning as an Educational Enterprise: Modeling Entrepreneurship in the Comprehensive Public College.

ERIC Educational Resources Information Center

Ross, Linda W.

Rowan College of New Jersey has adopted an "enterprise model" for strategic planning that is seen as central to attaining the mission of the college during a time involving a substantial decline in state support. Rowan pursued a strategy termed "growth by substitution." This new process was cast in a more entrepreneurial mold…

Testing a Nursing-Specific Model of Electronic Patient Record documentation with regard to information completeness, comprehensiveness and consistency.

PubMed

von Krogh, Gunn; Nåden, Dagfinn; Aasland, Olaf Gjerløw

2012-10-01

To present the results from the test site application of the documentation model KPO (quality assurance, problem solving and caring) designed to impact the quality of nursing information in electronic patient record (EPR). The KPO model was developed by means of consensus group and clinical testing. Four documentation arenas and eight content categories, nursing terminologies and a decision-support system were designed to impact the completeness, comprehensiveness and consistency of nursing information. The testing was performed in a pre-test/post-test time series design, three times at a one-year interval. Content analysis of nursing documentation was accomplished through the identification, interpretation and coding of information units. Data from the pre-test and post-test 2 were subjected to statistical analyses. To estimate the differences, paired t-tests were used. At post-test 2, the information is found to be more complete, comprehensive and consistent than at pre-test. The findings indicate that documentation arenas combining work flow and content categories deduced from theories on nursing practice can influence the quality of nursing information. The KPO model can be used as guide when shifting from paper-based to electronic-based nursing documentation with the aim of obtaining complete, comprehensive and consistent nursing information. © 2012 Blackwell Publishing Ltd.

In Support of the Common Defense: Homeland Defense and Security Journal. Volume 1

DTIC Science & Technology

2012-04-01

been, “When the nation is least ready, we must be most ready.” While that rings clear as far as warfare is concerned, it is not nearly so when it...JP) 5.0, Joint Operational Planning, and then examines Colonel John A. Warden III’s theory 28 In Support of the Common Defense (Five Ring Model) of...by a discussion of how an adaptation of Warden’s Five Ring Model can be used as a viable framework to assist in a more comprehensive risk

Comprehending 3D Diagrams: Sketching to Support Spatial Reasoning.

PubMed

Gagnier, Kristin M; Atit, Kinnari; Ormand, Carol J; Shipley, Thomas F

2017-10-01

Science, technology, engineering, and mathematics (STEM) disciplines commonly illustrate 3D relationships in diagrams, yet these are often challenging for students. Failing to understand diagrams can hinder success in STEM because scientific practice requires understanding and creating diagrammatic representations. We explore a new approach to improving student understanding of diagrams that convey 3D relations that is based on students generating their own predictive diagrams. Participants' comprehension of 3D spatial diagrams was measured in a pre- and post-design where students selected the correct 2D slice through 3D geologic block diagrams. Generating sketches that predicated the internal structure of a model led to greater improvement in diagram understanding than visualizing the interior of the model without sketching, or sketching the model without attempting to predict unseen spatial relations. In addition, we found a positive correlation between sketched diagram accuracy and improvement on the diagram comprehension measure. Results suggest that generating a predictive diagram facilitates students' abilities to make inferences about spatial relationships in diagrams. Implications for use of sketching in supporting STEM learning are discussed. Copyright © 2016 Cognitive Science Society, Inc.

Conceptualizing Telehealth in Nursing Practice: Advancing a Conceptual Model to Fill a Virtual Gap.

PubMed

Nagel, Daniel A; Penner, Jamie L

2016-03-01

Increasingly nurses use various telehealth technologies to deliver health care services; however, there has been a lag in research and generation of empirical knowledge to support nursing practice in this expanding field. One challenge to generating knowledge is a gap in development of a comprehensive conceptual model or theoretical framework to illustrate relationships of concepts and phenomena inherent to adoption of a broad range of telehealth technologies to holistic nursing practice. A review of the literature revealed eight published conceptual models, theoretical frameworks, or similar entities applicable to nursing practice. Many of these models focus exclusively on use of telephones and four were generated from qualitative studies, but none comprehensively reflect complexities of bridging nursing process and elements of nursing practice into use of telehealth. The purpose of this article is to present a review of existing conceptual models and frameworks, discuss predominant themes and features of these models, and present a comprehensive conceptual model for telehealth nursing practice synthesized from this literature for consideration and further development. This conceptual model illustrates characteristics of, and relationships between, dimensions of telehealth practice to guide research and knowledge development in provision of holistic person-centered care delivery to individuals by nurses through telehealth technologies. © The Author(s) 2015.

The Effects of Literacy Support Tools on the Comprehension of Informational e-Books and Print-Based Text

ERIC Educational Resources Information Center

Herman, Heather A.

2017-01-01

This mixed methods research explores the effects of literacy support tools to support comprehension strategies when reading informational e-books and print-based text with 14 first-grade students. This study focused on the following comprehension strategies: annotating connections, annotating "I wonders," and looking back in the text.…

Why does working memory capacity predict variation in reading comprehension? On the influence of mind wandering and executive attention.

PubMed

McVay, Jennifer C; Kane, Michael J

2012-05-01

Some people are better readers than others, and this variation in comprehension ability is predicted by measures of working memory capacity (WMC). The primary goal of this study was to investigate the mediating role of mind-wandering experiences in the association between WMC and normal individual differences in reading comprehension, as predicted by the executive-attention theory of WMC (e.g., Engle & Kane, 2004). We used a latent-variable, structural-equation-model approach, testing skilled adult readers on 3 WMC span tasks, 7 varied reading-comprehension tasks, and 3 attention-control tasks. Mind wandering was assessed using experimenter-scheduled thought probes during 4 different tasks (2 reading, 2 attention-control). The results support the executive-attention theory of WMC. Mind wandering across the 4 tasks loaded onto a single latent factor, reflecting a stable individual difference. Most important, mind wandering was a significant mediator in the relationship between WMC and reading comprehension, suggesting that the WMC-comprehension correlation is driven, in part, by attention control over intruding thoughts. We discuss implications for theories of WMC, attention control, and reading comprehension.

Enhancing Instructional Problem Solving: An Efficient System for Assisting Struggling Learners. Practical Intervention in the Schools Series

ERIC Educational Resources Information Center

Begeny, John C.; Schulte, Ann C.; Johnson, Kent

2012-01-01

This book presents a schoolwide model of instructional support designed to make the most of available time, resources, and personnel--one that is also fully compatible with other problem-solving models, such as response to intervention. The authors provide a comprehensive and cohesive framework for linking assessment and intervention. They show…

Health Optimizing Physical Education (HOPE): A New Curriculum for School Programs--Part 1: Establishing the Need and Describing the Model

ERIC Educational Resources Information Center

Metzler, Michael W.; McKenzie, Thomas L.; van der Mars, Hans; Barrett-Williams, Shannon L.; Ellis, Rebecca

2013-01-01

Comprehensive School Physical Activity Programs (CSPAP) are designed to provide expanded opportunities for physical activity beyond regularly scheduled physical education time-including before, during, and after school, as well as at home and in the community. While CSPAPs are gaining support, currently there are no models for designing,…

Computing Support for Basic Research in Perception and Cognition

DTIC Science & Technology

1988-12-07

hearing aids and cochlear implants, this suggests that certain types of proposed coding schemes, specifically those employing periodicity tuning in...developing a computer model of the interaction of declarative and procedural knowledge in skill acquisition. In the Visual Psychophysics Laboratory... Psycholinguistics - Laboratory a computer model of text comprehension and recall has been constructed and several - experiments have been completed that verify basic

"High Schools That Work" and College Preparedness: Measuring the Model's Impact on Mathematics and Science Pipeline Progression

ERIC Educational Resources Information Center

Miller, Luke C.; Mittleman, Joel

2012-01-01

The "High Schools That Work" school improvement initiative is the nation's largest comprehensive school reform model with over a thousand schools adopting its framework. The initiative's premise is that all students can meet the demands of a college preparatory curriculum if provided the right supports. Analyzing over a decade of data on student…

Feminist Framework Plus: Knitting Feminist Theories of Rape Etiology Into a Comprehensive Model.

PubMed

McPhail, Beverly A

2016-07-01

The radical-liberal feminist perspective on rape posits that the assault is motivated by power and control rather than sexual gratification and is a violent rather than a sexual act. However, rape is a complex act. Relying on only one early strand of feminist thought to explain the etiology of rape limits feminists' understanding of rape and the practice based upon the theory. The history of the adoption of the "power, not sex" theory is presented and the model critiqued. A more integrated model is developed and presented, the Feminist Framework Plus, which knits together five feminist theories into a comprehensive model that better explains the depth and breadth of the etiology of rape. Empirical evidence that supports each theory is detailed as well as the implications of the model on service provision, education, and advocacy. © The Author(s) 2015.

Online Cancer Information Seeking: Applying and Extending the Comprehensive Model of Information Seeking.

PubMed

Van Stee, Stephanie K; Yang, Qinghua

2017-10-30

This study applied the comprehensive model of information seeking (CMIS) to online cancer information and extended the model by incorporating an exogenous variable: interest in online health information exchange with health providers. A nationally representative sample from the Health Information National Trends Survey 4 Cycle 4 was analyzed to examine the extended CMIS in predicting online cancer information seeking. Findings from a structural equation model supported most of the hypotheses derived from the CMIS, as well as the extension of the model related to interest in online health information exchange. In particular, socioeconomic status, beliefs, and interest in online health information exchange predicted utility. Utility, in turn, predicted online cancer information seeking, as did information-carrier characteristics. An unexpected but important finding from the study was the significant, direct relationship between cancer worry and online cancer information seeking. Theoretical and practical implications are discussed.

Evaluation and Prediction of Water Resources Based on AHP

NASA Astrophysics Data System (ADS)

Li, Shuai; Sun, Anqi

2017-01-01

Nowadays, the shortage of water resources is a threat to us. In order to solve the problem of water resources restricted by varieties of factors, this paper establishes a water resources evaluation index model (WREI), which adopts the fuzzy comprehensive evaluation (FCE) based on analytic hierarchy process (AHP) algorithm. After considering influencing factors of water resources, we ignore secondary factors and then hierarchical approach the main factors according to the class, set up a three-layer structure. The top floor is for WREI. Using analytic hierarchy process (AHP) to determine weight first, and then use fuzzy judgment to judge target, so the comprehensive use of the two algorithms reduce the subjective influence of AHP and overcome the disadvantages of multi-level evaluation. To prove the model, we choose India as a target region. On the basis of water resources evaluation index model, we use Matlab and combine grey prediction with linear prediction to discuss the ability to provide clean water in India and the trend of India’s water resources changing in the next 15 years. The model with theoretical support and practical significance will be of great help to provide reliable data support and reference for us to get plans to improve water quality.

Genome re-sequencing reveals the history of apple and supports a two-stage model for fruit enlargement.

PubMed

Duan, Naibin; Bai, Yang; Sun, Honghe; Wang, Nan; Ma, Yumin; Li, Mingjun; Wang, Xin; Jiao, Chen; Legall, Noah; Mao, Linyong; Wan, Sibao; Wang, Kun; He, Tianming; Feng, Shouqian; Zhang, Zongying; Mao, Zhiquan; Shen, Xiang; Chen, Xiaoliu; Jiang, Yuanmao; Wu, Shujing; Yin, Chengmiao; Ge, Shunfeng; Yang, Long; Jiang, Shenghui; Xu, Haifeng; Liu, Jingxuan; Wang, Deyun; Qu, Changzhi; Wang, Yicheng; Zuo, Weifang; Xiang, Li; Liu, Chang; Zhang, Daoyuan; Gao, Yuan; Xu, Yimin; Xu, Kenong; Chao, Thomas; Fazio, Gennaro; Shu, Huairui; Zhong, Gan-Yuan; Cheng, Lailiang; Fei, Zhangjun; Chen, Xuesen

2017-08-15

Human selection has reshaped crop genomes. Here we report an apple genome variation map generated through genome sequencing of 117 diverse accessions. A comprehensive model of apple speciation and domestication along the Silk Road is proposed based on evidence from diverse genomic analyses. Cultivated apples likely originate from Malus sieversii in Kazakhstan, followed by intensive introgressions from M. sylvestris. M. sieversii in Xinjiang of China turns out to be an "ancient" isolated ecotype not directly contributing to apple domestication. We have identified selective sweeps underlying quantitative trait loci/genes of important fruit quality traits including fruit texture and flavor, and provide evidences supporting a model of apple fruit size evolution comprising two major events with one occurring prior to domestication and the other during domestication. This study outlines the genetic basis of apple domestication and evolution, and provides valuable information for facilitating marker-assisted breeding and apple improvement.Apple is one of the most important fruit crops. Here, the authors perform deep genome resequencing of 117 diverse accessions and reveal comprehensive models of apple origin, speciation, domestication, and fruit size evolution as well as candidate genes associated with important agronomic traits.

Family policies in OECD countries: a comparative analysis.

PubMed

Thévenon, Olivier

2011-01-01

This article discusses the diversity of family policy models in 28 OECD countries in terms of the balance between their different objectives and the mix of instruments adopted to implement the policies. Cross-country policy differences are investigated by applying a principal component analysis to comprehensive country-level data from the OECD Family database covering variables such as parental leave conditions, childcare service provision, and financial support to families. The results find persistent differences in the family policy patterns embedded in different contexts of work-family "outcomes." Country classifications of family policy packages only partially corroborate categorizations in earlier studies, owing to considerable within-group heterogeneity and the presence of group outliers. The Nordic countries outdistance the others with comprehensive support to working parents with very young children. Anglo-Saxon countries provide much less support for working parents with very young children, and financial support is targeted on low-income and large families and focuses on preschool and early elementary education. Continental and Eastern European countries form a more heterogeneous group, while the support received by families in Southern Europe and in Asian countries is much lower in all its dimensions.

Testing comprehensive models of disclosure of sexual orientation in HIV-positive Latino men who have sex with men (MSM).

PubMed

García, Luis I; Lechuga, Julia; Zea, María Cecilia

2012-01-01

Individuals who disclose their sexual orientation are more likely to also disclose their HIV status. Disclosure of HIV-serostatus is associated with better health outcomes. The goal of this study was to build and test comprehensive models of sexual orientation that included eight theory-informed predictors of disclosure to mothers, fathers, and closest friends in a sample of HIV-positive Latino gay and bisexual men. US acculturation, gender nonconformity to hegemonic masculinity in self-presentation, comfort with sexual orientation, gay community involvement, satisfaction with social support, sexual orientation and gender of the closest friend emerged as significant predictors of disclosure of sexual orientation.

Testing Comprehensive Models of Disclosure of Sexual Orientation in HIV-Positive Latino Men Who Have Sex with Men (MSM)

PubMed Central

Lechuga, Julia; Zea, María Cecilia

2012-01-01

Individuals who disclose their sexual orientation are more likely to also disclose their HIV status. Disclosure of HIV-serostatus is associated with better health outcomes. The goal of this study was to build and test comprehensive models of sexual orientation that included 8 theory-informed predictors of disclosure to mothers, fathers, and closest friends in a sample of HIV-positive Latino gay and bisexual men. US acculturation, gender non-conformity to hegemonic masculinity in self-presentation, comfort with sexual orientation, gay community involvement, satisfaction with social support, sexual orientation and gender of the closest friend emerged as significant predictors of disclosure of sexual orientation. PMID:22690708

Identifying Students for Secondary and Tertiary Prevention Efforts: How Do We Determine Which Students Have Tier 2 and Tier 3 Needs?

ERIC Educational Resources Information Center

Lane, Kathleen Lynne; Oakes, Wendy Peia; Ennis, Robin Parks; Hirsch, Shanna Eisner

2014-01-01

In comprehensive, integrated, three-tiered models, it is essential to have a systematic method for identifying students who need supports at Tier 2 or Tier 3. This article provides explicit information on how to use multiple sources of data to determine which students might benefit from these supports. First, the authors provide an overview of how…

Semantic and Syntactic Interference in Sentence Comprehension: A Comparison of Working Memory Models

PubMed Central

Tan, Yingying; Martin, Randi C.; Van Dyke, Julie A.

2017-01-01

This study investigated the nature of the underlying working memory system supporting sentence processing through examining individual differences in sensitivity to retrieval interference effects during sentence comprehension. Interference effects occur when readers incorrectly retrieve sentence constituents which are similar to those required during integrative processes. We examined interference arising from a partial match between distracting constituents and syntactic and semantic cues, and related these interference effects to performance on working memory, short-term memory (STM), vocabulary, and executive function tasks. For online sentence comprehension, as measured by self-paced reading, the magnitude of individuals' syntactic interference effects was predicted by general WM capacity and the relation remained significant when partialling out vocabulary, indicating that the effects were not due to verbal knowledge. For offline sentence comprehension, as measured by responses to comprehension questions, both general WM capacity and vocabulary knowledge interacted with semantic interference for comprehension accuracy, suggesting that both general WM capacity and the quality of semantic representations played a role in determining how well interference was resolved offline. For comprehension question reaction times, a measure of semantic STM capacity interacted with semantic but not syntactic interference. However, a measure of phonological capacity (digit span) and a general measure of resistance to response interference (Stroop effect) did not predict individuals' interference resolution abilities in either online or offline sentence comprehension. The results are discussed in relation to the multiple capacities account of working memory (e.g., Martin and Romani, 1994; Martin and He, 2004), and the cue-based retrieval parsing approach (e.g., Lewis et al., 2006; Van Dyke et al., 2014). While neither approach was fully supported, a possible means of reconciling the two approaches and directions for future research are proposed. PMID:28261133

Family-School Collaboration Services: Beliefs into Action

ERIC Educational Resources Information Center

Miller, Gloria E.; Arthur-Stanley, Amanda; Lines, Cathy

2012-01-01

The recently adopted NASP "Model for Comprehensive and Integrated School Psychological Services" consists of 10 domains of practice that describe the competencies of school psychologists to effectively support the positive educational, behavioral, and mental health outcomes of all students. Anastasia Skalski (2010), NASP Director of…

Utilized social support and self-esteem mediate the relationship between perceived social support and suicide ideation. A test of a multiple mediator model.

PubMed

Kleiman, Evan M; Riskind, John H

2013-01-01

While perceived social support has received considerable research as a protective factor for suicide ideation, little attention has been given to the mechanisms that mediate its effects. We integrated two theoretical models, Joiner's (2005) interpersonal theory of suicide and Leary's (Leary, Tambor, Terdal, & Downs, 1995) sociometer theory of self-esteem to investigate two hypothesized mechanisms, utilization of social support and self-esteem. Specifically, we hypothesized that individuals must utilize the social support they perceive that would result in increased self-esteem, which in turn buffers them from suicide ideation. Participants were 172 college students who completed measures of social support, self-esteem, and suicide ideation. Tests of simple mediation indicate that utilization of social support and self-esteem may each individually help to mediate the perceived social support/suicide ideation relationship. Additionally, a test of multiple mediators using bootstrapping supported the hypothesized multiple-mediator model. The use of a cross-sectional design limited our ability to find true cause-and-effect relationships. Results suggested that utilized social support and self-esteem both operate as individual moderators in the social support/self-esteem relationship. Results further suggested, in a comprehensive model, that perceived social support buffers suicide ideation through utilization of social support and increases in self-esteem.

MetaboTools: A comprehensive toolbox for analysis of genome-scale metabolic models

DOE PAGES

Aurich, Maike K.; Fleming, Ronan M. T.; Thiele, Ines

2016-08-03

Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Previous work, by us and others, revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic model using constraint-based modeling. With the MetaboTools, we make our methods available to the broader scientific community. The MetaboTools consist of a protocol, a toolbox, and tutorials of two use cases. The protocol describes, in a step-wise manner, the workflow of data integration, and computational analysis. The MetaboTools comprise the Matlab code required to complete the workflow described in the protocol. Tutorialsmore » explain the computational steps for integration of two different data sets and demonstrate a comprehensive set of methods for the computational analysis of metabolic models and stratification thereof into different phenotypes. The presented workflow supports integrative analysis of multiple omics data sets. Importantly, all analysis tools can be applied to metabolic models without performing the entire workflow. Taken together, the MetaboTools constitute a comprehensive guide to the intra-model analysis of extracellular metabolomic data from microbial, plant, or human cells. In conclusion, this computational modeling resource offers a broad set of computational analysis tools for a wide biomedical and non-biomedical research community.« less

The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.

PubMed

Krupke, Debra M; Begley, Dale A; Sundberg, John P; Richardson, Joel E; Neuhauser, Steven B; Bult, Carol J

2017-11-01

Research using laboratory mice has led to fundamental insights into the molecular genetic processes that govern cancer initiation, progression, and treatment response. Although thousands of scientific articles have been published about mouse models of human cancer, collating information and data for a specific model is hampered by the fact that many authors do not adhere to existing annotation standards when describing models. The interpretation of experimental results in mouse models can also be confounded when researchers do not factor in the effect of genetic background on tumor biology. The Mouse Tumor Biology (MTB) database is an expertly curated, comprehensive compendium of mouse models of human cancer. Through the enforcement of nomenclature and related annotation standards, MTB supports aggregation of data about a cancer model from diverse sources and assessment of how genetic background of a mouse strain influences the biological properties of a specific tumor type and model utility. Cancer Res; 77(21); e67-70. ©2017 AACR . ©2017 American Association for Cancer Research.

Functional Pathways of Social Support for Mental Health in Work and Family Domains Among Chinese Scientific and Technological Professionals.

PubMed

Gan, Yiqun; Gan, Tingting; Chen, Zhiyan; Miao, Miao; Zhang, Kan

2015-10-01

This study investigated the role of social support in the complex pattern of associations among stressors, work-family interferences and depression in the domains of work and family. A questionnaire was administered to a nationwide sample of 11,419 Chinese science and technology professionals. Several structural equation models were specified to determine whether social support functioned as a predictor or a mediator. Using Mplus 5.0, we compared the moderation model, the independence model, the antecedent model and the mediation model. The results revealed that the relationship between work-family interference and social support was domain specific. The independence model fit the data best in the work domain. Both the moderation model and the antecedent model fit the family domain data equally well. The current study was conducted to answer the need for comprehensive investigations of cultural uniqueness in the antecedents of work-family interference. The domain specificity, i.e. the multiple channels of the functions of support in the family domain and not in the work domain, ensures that this study is unique and culturally specific. Copyright © 2014 John Wiley & Sons, Ltd.

Dementia service centres in Austria: A comprehensive support and early detection model for persons with dementia and their caregivers – theoretical foundations and model description

PubMed Central

Span, Edith; Reisberg, Barry

2015-01-01

Despite the highly developed social services in Austria, the County of Upper Austria, one of the nine counties of Austria had only very limited specialized services for persons with dementia and their caregivers in 2001. Support groups existed in which the desire for more specialized services was voiced. In response to this situation, funding was received to develop a new structure for early disease detection and long term support for both the person with dementia and their caregivers. This article describes the development of the model of the Dementia Service Centres (DSCs) and the successes and difficulties encountered in the process of implementing the model in six different rural regions of Upper Austria. The DSC was described in the First Austrian Dementia Report as one of the potential service models for the future. PMID:24339114

Dementia service centres in Austria: A comprehensive support and early detection model for persons with dementia and their caregivers - theoretical foundations and model description.

PubMed

Auer, Stefanie R; Span, Edith; Reisberg, Barry

2015-07-01

Despite the highly developed social services in Austria, the County of Upper Austria, one of the nine counties of Austria had only very limited specialized services for persons with dementia and their caregivers in 2001. Support groups existed in which the desire for more specialized services was voiced. In response to this situation, funding was received to develop a new structure for early disease detection and long term support for both the person with dementia and their caregivers. This article describes the development of the model of the Dementia Service Centres (DSCs) and the successes and difficulties encountered in the process of implementing the model in six different rural regions of Upper Austria. The DSC was described in the First Austrian Dementia Report as one of the potential service models for the future. © The Author(s) 2013.

Titrating decision processes in the mental rotation task.

PubMed

Provost, Alexander; Heathcote, Andrew

2015-10-01

Shepard and Metzler's (1971) seminal mental-rotation task-which requires participants to decide if 1 object is a rotated version of another or its mirror image-has played a central role in the study of spatial cognition. We provide the first quantitative model of behavior in this task that is comprehensive in the sense of simultaneously providing an account of both error rates and the full distribution of response times. We used Brown and Heathcote's (2008) model of choice processing to separate out the contributions of mental rotation and decision stages. This model-based titration process was applied to data from a paradigm where converging evidence supported performance being based on rotation rather than other strategies. Stimuli were similar to Shepard and Metzler's block figures except a long major axis made rotation angle well defined for mirror stimuli, enabling comprehensive modeling of both mirror and normal responses. Results supported a mental rotation stage based on Larsen's (2014) model, where rotation takes a variable amount of time with a mean and variance that increase linearly with rotation angle. Differences in response threshold differences were largely responsible for mirror responses being slowed, and for errors increasing with rotation angle for some participants. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Motivating Reading Comprehension: Concept-Oriented Reading Instruction

ERIC Educational Resources Information Center

Guthrie, John T., Ed.; Wigfield, Allan, Ed.; Perencevich, Kathleen C., Ed.

2004-01-01

Concept Oriented Reading Instruction (CORI) is a unique, classroom-tested model of reading instruction that breaks new ground by explicitly showing how content knowledge, reading strategies, and motivational support all merge in successful reading instruction. A theoretical perspective (engagement in reading) frames the book and provides a…

MATREX Leads the Way in Implementing New DOD VV&A Documentation Standards

DTIC Science & Technology

2007-05-24

Acquisition Operations & Support B C Sustainment FRP Decision Review FOC LRIP/IOT& ECritical Design Review Pre-Systems Acquisition Concept...Communications Human Performance Model • C3GRID – Command & Control, Computer GRID • CES – Communications Effects Server • CMS2 – Comprehensive

Human life support during interplanetary travel and domicile. II - Generic Modular Flow Schematic modeling

NASA Technical Reports Server (NTRS)

Farral, Joseph F.; Seshan, P. K.; Rohatgi, Naresh K.

1991-01-01

This paper describes the Generic Modular Flow Schematic (GMFS) architecture capable of encompassing all functional elements of a physical/chemical life support system (LSS). The GMFS can be implemented to synthesize, model, analyze, and quantitatively compare many configurations of LSSs, from a simple, completely open-loop to a very complex closed-loop. The GMFS model is coded in ASPEN, a state-of-the-art chemical process simulation program, to accurately compute the material, heat, and power flow quantities for every stream in each of the subsystem functional elements (SFEs) in the chosen configuration of a life support system. The GMFS approach integrates the various SFEs and subsystems in a hierarchical and modular fashion facilitating rapid substitutions and reconfiguration of a life support system. The comprehensive ASPEN material and energy balance output is transferred to a systems and technology assessment spreadsheet for rigorous system analysis and trade studies.

Predicting better performance on a college preparedness test from narrative comprehension at the age of 6 years: An fMRI study.

PubMed

Horowitz-Kraus, Tzipi; Eaton, Kenneth; Farah, Rola; Hajinazarian, Ardag; Vannest, Jennifer; Holland, Scott K

2015-12-10

To investigate whether high performance on college preparedness tests at 18 years of age can be predicted from brain activation patterns during narrative comprehension at 5-7 years of age. In this longitudinal study, functional MRI data during an auditory narrative-comprehension task were acquired from 15 children (5-7 years of age) who also provided their American College Testing (ACT) scores at the age of 18 years. Active voxels during the narrative-comprehension task were correlated with both composite ACT scores and the reading-comprehension component of the exam. Higher composite ACT scores and behavioral scores for reading comprehension were positively correlated with greater activation in frontal and anterior brain regions during the narrative-comprehension task. Our results suggest that neural circuits supporting higher ACT performance are predictable from a narrative-comprehension task at the age of 5-7 years. This supports a critical role for the anterior cingulate cortex, which is a part of the cingulo-opercular cognitive-control network early in development, as a facilitator for better ACT scores. This study highlights that shared neural circuits that support overall ACT performance and neural circuits that support reading comprehension both rely on neural circuits related to narrative comprehension in childhood, suggesting that interventions involving narrative comprehension should be considered for individuals with reading and other academic difficulties. Copyright © 2015 Elsevier B.V. All rights reserved.

Memory and cognitive control in an integrated theory of language processing.

PubMed

Slevc, L Robert; Novick, Jared M

2013-08-01

Pickering & Garrod's (P&G's) integrated model of production and comprehension includes no explicit role for nonlinguistic cognitive processes. Yet, how domain-general cognitive functions contribute to language processing has become clearer with well-specified theories and supporting data. We therefore believe that their account can benefit by incorporating functions like working memory and cognitive control into a unified model of language processing.

Lexical prediction via forward models: N400 evidence from German Sign Language.

PubMed

Hosemann, Jana; Herrmann, Annika; Steinbach, Markus; Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias

2013-09-01

Models of language processing in the human brain often emphasize the prediction of upcoming input-for example in order to explain the rapidity of language understanding. However, the precise mechanisms of prediction are still poorly understood. Forward models, which draw upon the language production system to set up expectations during comprehension, provide a promising approach in this regard. Here, we present an event-related potential (ERP) study on German Sign Language (DGS) which tested the hypotheses of a forward model perspective on prediction. Sign languages involve relatively long transition phases between one sign and the next, which should be anticipated as part of a forward model-based prediction even though they are semantically empty. Native speakers of DGS watched videos of naturally signed DGS sentences which either ended with an expected or a (semantically) unexpected sign. Unexpected signs engendered a biphasic N400-late positivity pattern. Crucially, N400 onset preceded critical sign onset and was thus clearly elicited by properties of the transition phase. The comprehension system thereby clearly anticipated modality-specific information about the realization of the predicted semantic item. These results provide strong converging support for the application of forward models in language comprehension. © 2013 Elsevier Ltd. All rights reserved.

Study on HOPE Management Mode of Coal Enterprises Based on Systematic Thinking

NASA Astrophysics Data System (ADS)

Zhaoran, Zhang; Tianzhu, Zhang; Wenjing, Tong

2018-02-01

The extensive management mode of coal enterprises is no longer applicable to the demand of enterprise development under the new economic situation. Combined with the characteristics of coal mine production, based on the system of thinking, integration of lean, people, comprehensive, job management theory, formed HOPE management model, including a core system and three support systems and 18 elements. There are three stages in the development and implementation of this model. To 6S site management for the initial stage to job process reengineering for the intermediate stage to post value process control for the advanced stage. The successful implementation of HOPE model in coal enterprises needs comprehensive control from five aspects: lean culture construction, flattening organizational structure, cost control system, performance appraisal system and lean information management platform. HOPE model can be implemented smoothly and make “win-win” between enterprises and employees.

A Prototype for the Support of Integrated Software Process Development and Improvement

NASA Astrophysics Data System (ADS)

Porrawatpreyakorn, Nalinpat; Quirchmayr, Gerald; Chutimaskul, Wichian

An efficient software development process is one of key success factors for quality software. Not only can the appropriate establishment but also the continuous improvement of integrated project management and of the software development process result in efficiency. This paper hence proposes a software process maintenance framework which consists of two core components: an integrated PMBOK-Scrum model describing how to establish a comprehensive set of project management and software engineering processes and a software development maturity model advocating software process improvement. Besides, a prototype tool to support the framework is introduced.

Efficient Non-Hydrostatic Modeling of Rotational, Turbulent, Dispersive, and Variable-Density Flows in the Vicinity of River Mouths and Inlets: Development and Field Support

DTIC Science & Technology

2013-09-30

numerical efforts undertaken here implement established aspects of Boussinesq -type modeling, developed by the PI and other researchers. These aspects...the Boussinesq -type framework, and then implement in a numerical model. Once this comprehensive model is developed and tested against established...phenomena that might be observed at New River. WORK COMPLETED In FY13 we have continued the development of a Boussinesq -type formulation that

A comprehensive cost model for NASA data archiving

NASA Technical Reports Server (NTRS)

Green, J. L.; Klenk, K. F.; Treinish, L. A.

1990-01-01

A simple archive cost model has been developed to help predict NASA's archiving costs. The model covers data management activities from the beginning of the mission through launch, acquisition, and support of retrospective users by the long-term archive; it is capable of determining the life cycle costs for archived data depending on how the data need to be managed to meet user requirements. The model, which currently contains 48 equations with a menu-driven user interface, is available for use on an IBM PC or AT.

Evidence for bilateral involvement in idiom comprehension: An fMRI study.

PubMed

Zempleni, Monika-Zita; Haverkort, Marco; Renken, Remco; A Stowe, Laurie

2007-02-01

The goal of the current study was to identify the neural substrate of idiom comprehension using fMRI. Idioms are familiar, fixed expressions whose meaning is not dependent on the literal interpretation of the component words. We presented literally plausible idioms in a sentence forcing a figurative or a literal interpretation and contrasted them with sentences containing idioms for which no literal interpretation was available and with unambiguously literal sentences. The major finding of the current study is that figurative comprehension in the case of both ambiguous and unambiguous idioms is supported by bilateral inferior frontal gyri and left middle temporal gyrus. The right middle temporal gyrus is also involved, but seems to exclusively process the ambiguous idioms. Therefore, our data suggest a bilateral neural network underlying figurative comprehension, as opposed to the exclusive participation of the right hemisphere. The data also provide evidence against proposed models of idiom comprehension in which literal processing is by-passed, since figurative processing demanded more resources than literal processing in the language network.

Cues, quantification, and agreement in language comprehension.

PubMed

Tanner, Darren; Bulkes, Nyssa Z

2015-12-01

We investigated factors that affect the comprehension of subject-verb agreement in English, using quantification as a window into the relationship between morphosyntactic processes in language production and comprehension. Event-related brain potentials (ERPs) were recorded while participants read sentences with grammatical and ungrammatical verbs, in which the plurality of the subject noun phrase was either doubly marked (via overt plural quantification and morphological marking on the noun) or singly marked (via only plural morphology on the noun). Both acceptability judgments and the ERP data showed heightened sensitivity to agreement violations when quantification provided an additional cue to the grammatical number of the subject noun phrase, over and above plural morphology. This is consistent with models of grammatical comprehension that emphasize feature prediction in tandem with cue-based memory retrieval. Our results additionally contrast with those of prior studies that showed no effects of plural quantification on agreement in language production. These findings therefore highlight some nontrivial divergences in the cues and mechanisms supporting morphosyntactic processing in language production and comprehension.

A Comprehensive Evaluation System for Military Hospitals' Response Capability to Bio-terrorism.

PubMed

Wang, Hui; Jiang, Nan; Shao, Sicong; Zheng, Tao; Sun, Jianzhong

2015-05-01

The objective of this study is to establish a comprehensive evaluation system for military hospitals' response capacity to bio-terrorism. Literature research and Delphi method were utilized to establish the comprehensive evaluation system for military hospitals' response capacity to bio-terrorism. Questionnaires were designed and used to survey the status quo of 134 military hospitals' response capability to bio-terrorism. Survey indicated that factor analysis method was suitable to for analyzing the comprehensive evaluation system for military hospitals' response capacity to bio-terrorism. The constructed evaluation system was consisted of five first-class and 16 second-class indexes. Among them, medical response factor was considered as the most important factor with weight coefficient of 0.660, followed in turn by the emergency management factor with weight coefficient of 0.109, emergency management consciousness factor with weight coefficient of 0.093, hardware support factor with weight coefficient of 0.078, and improvement factor with weight coefficient of 0.059. The constructed comprehensive assessment model and system are scientific and practical.

Profiting and providing less care: comprehensive services at for-profit, nonprofit, and public opioid treatment programs in the United States.

PubMed

Bachhuber, Marcus A; Southern, William N; Cunningham, Chinazo O

2014-05-01

Opioid use disorders are frequently associated with medical and psychiatric comorbidities (eg, HIV infection and depression), as well as social problems (eg, lack of health insurance). Comprehensive services addressing these conditions improve outcomes. To compare the proportion of for-profit, nonprofit, and public opioid treatment programs offering comprehensive services, which are not mandated by government regulations. Cross-sectional analysis of opioid treatment programs offering outpatient care in the United States (n=1036). Self-reported offering of communicable disease (HIV, sexually transmitted infections, and viral hepatitis) testing, psychiatric services (screening, assessment and diagnostic evaluation, and pharmacotherapy), and social services support (assistance in applying for programs such as Medicaid). Mixed-effects logistic regression models were developed to adjust for several county-level factors. Of opioid treatment programs, 58.0% were for profit, 33.5% were nonprofit, and 8.5% were public. Nonprofit programs were more likely than for-profit programs to offer testing for all communicable diseases [adjusted odds ratios (AOR), 1.7; 95% confidence interval (CI), 1.2, 2.5], all psychiatric services (AOR, 8.0; 95% CI, 4.9, 13.1), and social services support (AOR, 3.3; 95% CI, 2.3, 4.8). Public programs were also more likely than for-profit programs to offer communicable disease testing (AOR, 6.4; 95% CI, 3.5, 11.7), all psychiatric services (AOR, 25.8; 95% CI, 12.6, 52.5), and social services support (AOR, 2.4; 95% CI, 1.4, 4.3). For-profit programs were significantly less likely than nonprofit and public programs to offer comprehensive services. Interventions to increase the offering of comprehensive services are needed, particularly among for-profit programs.

Is comprehension necessary for error detection? A conflict-based account of monitoring in speech production

PubMed Central

Nozari, Nazbanou; Dell, Gary S.; Schwartz, Myrna F.

2011-01-01

Despite the existence of speech errors, verbal communication is successful because speakers can detect (and correct) their errors. The standard theory of speech-error detection, the perceptual-loop account, posits that the comprehension system monitors production output for errors. Such a comprehension-based monitor, however, cannot explain the double dissociation between comprehension and error-detection ability observed in the aphasic patients. We propose a new theory of speech-error detection which is instead based on the production process itself. The theory borrows from studies of forced-choice-response tasks the notion that error detection is accomplished by monitoring response conflict via a frontal brain structure, such as the anterior cingulate cortex. We adapt this idea to the two-step model of word production, and test the model-derived predictions on a sample of aphasic patients. Our results show a strong correlation between patients’ error-detection ability and the model’s characterization of their production skills, and no significant correlation between error detection and comprehension measures, thus supporting a production-based monitor, generally, and the implemented conflict-based monitor in particular. The successful application of the conflict-based theory to error-detection in linguistic, as well as non-linguistic domains points to a domain-general monitoring system. PMID:21652015

On-Line Sentence Comprehension of Ambiguous Verbs in Mandarin.

ERIC Educational Resources Information Center

Ahrens, Kathleen

2001-01-01

Demonstrates that both meanings of an ambiguity are accessed at the onset of the ambiguity when the context is biased towards the secondary meaning. This evidence does not support the context-dependent model, which says that contextual bias should aid the processor in selecting a meaning. (Author/VWL)

Electronic Performance Support Systems: Comparison of Types of Integration Levels on Performance Outcomes

ERIC Educational Resources Information Center

Phillips, Sharon A.

2013-01-01

Selecting appropriate performance improvement interventions is a critical component of a comprehensive model of performance improvement. Intervention selection is an interconnected process involving analysis of an organization's environment, definition of the performance problem, and identification of a performance gap and identification of causal…

Situated Sentence Processing: The Coordinated Interplay Account and a Neurobehavioral Model

ERIC Educational Resources Information Center

Crocker, Matthew W.; Knoeferle, Pia; Mayberry, Marshall R.

2010-01-01

Empirical evidence demonstrating that sentence meaning is rapidly reconciled with the visual environment has been broadly construed as supporting the seamless interaction of visual and linguistic representations during situated comprehension. Based on recent behavioral and neuroscientific findings, however, we argue for the more deeply rooted…

Faculty Perceptions of Strategic Visioning.

ERIC Educational Resources Information Center

Marcus, Laurence R.; Smith, Richard

This report presents an examination of the use of a participative model in the strategic planning process at a publicly-supported, comprehensive institution in the middle Atlantic region of the United States. Specific attention is given to the process of developing the vision statement, an undertaking of approximately 15 months preceding Board of…

A Comprehensive Wellness Program for International Students.

ERIC Educational Resources Information Center

Fisher, Millard J.; Ozaki, Roger H.

This document presents a model wellness program for international college students in the United States and strategies to aid them in staying healthy during their stay. It notes that, without parents or other support groups, international students run the risk of developing serious health problems because of inadequate diet and sleep, substandard…

MATREX: A Unifying Modeling and Simulation Architecture for Live-Virtual-Constructive Applications

DTIC Science & Technology

2007-05-23

Deployment Systems Acquisition Operations & Support B C Sustainment FRP Decision Review FOC LRIP/IOT& ECritical Design Review Pre-Systems...CMS2 – Comprehensive Munitions & Sensor Server • CSAT – C4ISR Static Analysis Tool • C4ISR – Command & Control, Communications, Computers

The Role of Assessment in a Prevention Science Framework

ERIC Educational Resources Information Center

Herman, Keith C.; Riley-Tillman, T. Chris; Reinke, Wendy M.

2012-01-01

The articles in this Special Topic issue present a range of assessment models and challenges for improving the identification and early intervention of students in need of additional supports. Although each article targets a unique aspect of student learning (learning behaviors, math skills, reading comprehension, behavioral functioning, and…

Coaching Early Childhood Special Educators to Implement a Comprehensive Model for Promoting Young Children's Social Competence

ERIC Educational Resources Information Center

Fox, Lise; Hemmeter, Mary; Snyder, Patricia; Binder, Denise Perez; Clarke, Shelley

2011-01-01

Growing evidence suggests the importance of practitioners implementing promotion, prevention, and intervention practices to foster children's social-emotional competence and address challenging behavior within schools. Limited research exists, however, on how to support teachers of school-age children to implement with fidelity comprehensive…

Cognitive Empathy: A Crucial Element in Collaborative Strategy Generation.

ERIC Educational Resources Information Center

Anderson, Valerie; Roit, Marsha

A study evaluated a teacher development model that provides teachers with peer support and techniques for fostering active reading strategies in inner-city reading disabled adolescents using Collaborative Strategy Instruction. Subjects were 13 pairs of teachers in 9 middle, junior high, or senior high schools who taught reading comprehension to…

Comprehensive modeling of critical health care activities, costs, and data needs within the context of addiction rehabilitiation

NASA Astrophysics Data System (ADS)

Hoffman, Kenneth J.; Keithley, Hudson

1994-12-01

There are few systems which aggregate standardized pertinent clinical observations of discrete patient problems and resolutions. The systematic information supplied by clinicians is generally provided to justify reimbursement from insurers. Insurers, by their nature, and expert in modeling health care costs by diagnosis, procedures, and population risk groups. Medically, they rely on clinician generated diagnostic and coded procedure information. Clinicians will document a patient's status at a discrete point in time through narrative. Clinical notes do not support aggregate and systematic analysis of outcome. A methodology exists and has been used by the US Army Drug and Alcohol Program to model the clinical activities, associated costs, and data requirements of an outpatient clinic. This has broad applicability for a comprehensive health care system to which patient costs and data requirements can be established.

The role of emotion in decision-making: a cognitive neuroeconomic approach towards understanding sexual risk behavior.

PubMed

Gutnik, Lily A; Hakimzada, A Forogh; Yoskowitz, Nicole A; Patel, Vimla L

2006-12-01

Models of decision-making usually focus on cognitive, situational, and socio-cultural variables in accounting for human performance. However, the emotional component is rarely addressed within these models. This paper reviews evidence for the emotional aspect of decision-making and its role within a new framework of investigation, called neuroeconomics. The new approach aims to build a comprehensive theory of decision-making, through the unification of theories and methods from economics, psychology, and neuroscience. In this paper, we review these integrative research methods and their applications to issues of public health, with illustrative examples from our research on young adults' safe sex practices. This approach promises to be valuable as a comprehensively descriptive and possibly, better predictive model for construction and customization of decision support tools for health professionals and consumers.

Predictors of personal recovery for persons with psychiatric disabilities: An examination of the Unity Model of Recovery.

PubMed

Song, Li-Yu

2017-04-01

This study examined a comprehensive set of potential correlates of recovery based on the Unity Model of Recovery. Thirty-two community psychiatric rehabilitation centers in Taiwan agreed to participate in this study. A sample of 592 participants were administered the questionnaires. Five groups of independent variables were included in the model: socio-demographic variables, illness variables, resilience, informal support, and formal support. The results of regression analysis provided support for the validity of the Unity Model of Recovery. The independent variables explained 53.5% of the variance in recovery for the full sample, and 55.5% for the subsample of the consumers who have been ever employed. The significance of the three cornerstones (resilience, family support, and symptoms) for recovery was confirmed. Other critical support variables, including the extent of rehabilitation service use, professional relationship, and professional support were also found to be significant factors. Among all the significant correlates, resilience, family support, and extent of rehabilitation service use ranked in the top three. The findings could shed light on paths to recovery. Implications for psychiatric services were discussed and suggested. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Exploration of funding models to support hybridisation of Australian primary health care organisations.

PubMed

Reddy, Sandeep

2017-09-01

Primary Health Care (PHC) funding in Australia is complex and fragmented. The focus of PHC funding in Australia has been on volume rather than comprehensive primary care and continuous quality improvement. As PHC in Australia is increasingly delivered by hybrid style organisations, an appropriate funding model that matches this set-up while addressing current issues with PHC funding is required. This article discusses and proposes an appropriate funding model for hybrid PHC organisations.

Supporting Listening Comprehension and Vocabulary Acquisition with Multimedia Annotations: The Students' Voice.

ERIC Educational Resources Information Center

Jones, Linda C.

2003-01-01

Extends Mayer's (1997, 2001) generative theory of multimedia learning and investigates under what conditions multimedia annotations can support listening comprehension in a second language. Highlights students' views on the effectiveness of multimedia annotations (visual and verbal) in assisting them in their comprehension and acquisition of…

Interactional Scaffolding for Reading Comprehension: A Systematic Review

ERIC Educational Resources Information Center

Reynolds, Dan

2017-01-01

Understanding how to support student reading comprehension has long been a goal for education research. Yet no existing literature review links interactional scaffolding, defined as the responsive in-person support an expert reader offers to a novice, and reading comprehension. This review employed theories of scaffolding and reading comprehension…

Comprehensive Child Development Program--A National Family Support Demonstration. Interim Report to Congress.

ERIC Educational Resources Information Center

Administration for Children, Youth, and Families (DHHS), Washington, DC. Head Start Bureau.

The Comprehensive Child Development Program (CCDP), enacted by Congress in 1988, provides intensive, comprehensive, integrated, and continuous support to preschool children from low-income families to enhance their intellectual, social, and physical development. It also provides needed services to parents and household family members to enhance…

How Graphic Novels Support Reading Comprehension Strategy Development in Children

ERIC Educational Resources Information Center

Brenna, Beverley

2013-01-01

This qualitative case study explored the relationship between comprehension strategies and graphic novels in one Grade 4 classroom, utilising children as informants. The primary research questions related to children's applications of metacognitive reading comprehension strategies as well as the potential for graphic novels to support the…

Why Does Working Memory Capacity Predict Variation in Reading Comprehension? On the Influence of Mind Wandering and Executive Attention

PubMed Central

McVay, Jennifer C.; Kane, Michael J.

2012-01-01

Some people are better readers than others, and this variation in comprehension ability is predicted by measures of working memory capacity (WMC). The primary goal of this study was to investigate the mediating role of mind wandering experiences in the association between WMC and normal individual differences in reading comprehension, as predicted by the executive-attention theory of WMC (e.g., Engle & Kane, 2004). We used a latent-variable, structural-equation-model approach, testing skilled adult readers on three WMC span tasks, seven varied reading comprehension tasks, and three attention-control tasks. Mind wandering was assessed using experimenter-scheduled thought probes during four different tasks (two reading, two attention-control tasks). The results support the executive-attention theory of WMC. Mind wandering across the four tasks loaded onto a single latent factor, reflecting a stable individual difference. Most importantly, mind wandering was a significant mediator in the relationship between WMC and reading comprehension, suggesting that the WMC-comprehension correlation is driven, in part, by attention control over intruding thoughts. We discuss implications for theories of WMC, attention control, and reading comprehension. PMID:21875246

Making the CARE Comprehensive Geriatric Assessment as the Core of a Total Mobile Long Term Care Support System in China.

PubMed

Cui, Yanyan; Gong, Dongwei; Yang, Bo; Chen, Hua; Tu, Ming-Hsiang; Zhang, Chaonan; Li, Huan; Liang, Naiwen; Jiang, Liping; Chang, Polun

2018-01-01

Comprehensive Geriatric Assessments (CGAs) have been recommended to be used for better monitoring the health status of elder residents and providing quality care. This study reported how our nurses perceived the usability of CGA component of a mobile integrated-care long term care support system developed in China. We used the Continuity Assessment Record and Evaluation (CARE), developed in the US, as the core CGA component of our Android-based support system, in which apps were designed for all key stakeholders for delivering quality long term care. A convenience sample of 18 subjects from local long term care facilities in Shanghai, China were invited to assess the CGA assessment component in terms of Technology Acceptance Model for Mobile based on real field trial assessment. All (100%) were satisfied with the mobile CGA component. 88.9% perceived the system was easy to learn and use. 99.4% showed their willingness to use for their work. We concluded it is technically feasible to implement a CGA-based mobile integrated care support system in China.

A Systematic Review of Global Drivers of Ant Elevational Diversity

PubMed Central

Szewczyk, Tim; McCain, Christy M.

2016-01-01

Ant diversity shows a variety of patterns across elevational gradients, though the patterns and drivers have not been evaluated comprehensively. In this systematic review and reanalysis, we use published data on ant elevational diversity to detail the observed patterns and to test the predictions and interactions of four major diversity hypotheses: thermal energy, the mid-domain effect, area, and the elevational climate model. Of sixty-seven published datasets from the literature, only those with standardized, comprehensive sampling were used. Datasets included both local and regional ant diversity and spanned 80° in latitude across six biogeographical provinces. We used a combination of simulations, linear regressions, and non-parametric statistics to test multiple quantitative predictions of each hypothesis. We used an environmentally and geometrically constrained model as well as multiple regression to test their interactions. Ant diversity showed three distinct patterns across elevations: most common were hump-shaped mid-elevation peaks in diversity, followed by low-elevation plateaus and monotonic decreases in the number of ant species. The elevational climate model, which proposes that temperature and precipitation jointly drive diversity, and area were partially supported as independent drivers. Thermal energy and the mid-domain effect were not supported as primary drivers of ant diversity globally. The interaction models supported the influence of multiple drivers, though not a consistent set. In contrast to many vertebrate taxa, global ant elevational diversity patterns appear more complex, with the best environmental model contingent on precipitation levels. Differences in ecology and natural history among taxa may be crucial to the processes influencing broad-scale diversity patterns. PMID:27175999

Supportive Care: Comprehensive Conservative Care in End-Stage Kidney Disease

PubMed Central

Burns, Aine; Moranne, Olivier; Morton, Rachael L.; Naicker, Saraladevi

2016-01-01

Comprehensive conservative (nondialytic) kidney care is widely recognized and delivered but until recently, has not been clearly defined. We provide a clear definition of comprehensive conservative care. This includes interventions to delay progression of kidney disease and minimize complications as well as detailed communication, shared decision making, advance care planning, and psychologic and family support. It does not include dialysis. Limited epidemiologic evidence from Australia and Canada indicates that, for every new person diagnosed with ESRD who receives dialysis or transplant, there is one new person who is managed conservatively (either actively or not). For older patients (those >75 or 80 years old) who have higher levels of comorbidity (such as diabetes and heart disease) and poorer functional status, the survival advantage of dialysis may be limited, and comprehensive conservative management may be considered; however, robust comparative evidence remains limited. Considerations of symptoms, quality of life, and hospital-free days are as or sometimes more important for patients and families than survival. There is some evidence that communication about possible conservative management options is generally insufficient, even where comprehensive conservative care pathways are already established. Symptom control and the cost-effectiveness of interventions are addressed in the companion papers within this Moving Points in Nephrology series. There is almost no evidence about which models of care and which interventions might be most beneficial in this population; future research on these areas is much needed. Meanwhile, consistency in definition of comprehensive conservative care and basing interventions on existing evidence about survival, symptoms, quality of life, and experience will maximize patient-centered and holistic care. PMID:27510453

Beyond teacher training: the critical role of professional development in maintaining curriculum fidelity.

PubMed

LaChausse, Robert G; Clark, Kim R; Chapple, Sabrina

2014-03-01

To examine how teacher characteristics affected program fidelity in an impact evaluation study of the Positive Prevention PLUS program, and to propose a comprehensive teacher training and professional development structure to increase program fidelity. Curriculum fidelity logs, lesson observations, and teacher surveys were used to measure teacher characteristics and implementation fidelity including adherence, adaptation, and lesson quality. Compared with non-health credentialed teachers, credential health education teachers had greater comfort and self-efficacy regarding sex-related instruction. Teacher self-efficacy and comfort were significant predictors of adherence. Implementation fidelity may be linked to teacher characteristics that can be enhanced during curriculum training. A 2-day teacher training may not adequately address teacher facilitation skills or the maintenance of institutional supports for implementing a program with fidelity and quality. A new model of comprehensive teacher training and support is offered. This new training infrastructure is intended to contribute to the school district's institutionalization of higher-quality comprehensive sexual health education and increase program fidelity. Copyright © 2014 Society for Adolescent Health and Medicine. All rights reserved.

Set-up of a decision support system to support sustainable development of the Laguna de Bay, Philippines.

PubMed

Nauta, Tjitte A; Bongco, Alicia E; Santos-Borja, Adelina C

2003-01-01

Over recent decades, population expansion, deforestation, land conversion, urbanisation, intense fisheries and industrialisation have produced massive changes in the Laguna de Bay catchment, Philippines. The resulting problems include rapid siltation of the lake, eutrophication, inputs of toxics, flooding problems and loss of biodiversity. Rational and systematic resolution of conflicting water use and water allocation interests is now urgently needed in order to ensure sustainable use of the water resources. With respect to the competing and conflicting pressures on the water resources, the Laguna Lake Development Authority (LLDA) needs to achieve comprehensive management and development of the area. In view of these problems and needs, the Government of the Netherlands was funding a two-year project entitled 'Sustainable Development of the Laguna de Bay Environment'.A comprehensive tool has been developed to support decision-making at catchment level. This consists of an ArcView GIS-database linked to a state-of-the-art modelling suite, including hydrological and waste load models for the catchment area and a three-dimensional hydrodynamic and water quality model (Delft3D) linked to a habitat evaluation module for the lake. In addition, MS Office based tools to support a stakeholder analysis and financial and economic assessments have been developed. The project also focused on technical studies relating to dredging, drinking water supply and infrastructure works. These aimed to produce technically and economically feasible solutions to water quantity and quality problems. The paper also presents the findings of a study on the development of polder islands in the Laguna de Bay, addressing the water quantity and quality problems and focusing on the application of the decision support system.

Tying it all together--The PASS to Success: a comprehensive look at promoting job retention for workers with psychiatric disabilities in a supported employment program.

PubMed

Dorio, JoAnn

2004-01-01

Job initiation rates are steadily improving for people with severe and persistent mental illnesses. Yet, job retention rates, especially for those individuals who historically have had difficulty maintaining employment, continue to concern vocational rehabilitation professionals. In this paper, the author develops and refines her ideas that were presented in a previous research paper titled "Differences in Job Retention in a Supported Employment Program, Chinook Clubhouse." A more complete model, "The PASS to Success," is suggested by incorporating existing research with the author's revised work. Components of the model (Placement, Attitude, Support, Skills), can be used to predict vocational success and promote job retention.

Model-Driven Useware Engineering

NASA Astrophysics Data System (ADS)

Meixner, Gerrit; Seissler, Marc; Breiner, Kai

User-oriented hardware and software development relies on a systematic development process based on a comprehensive analysis focusing on the users' requirements and preferences. Such a development process calls for the integration of numerous disciplines, from psychology and ergonomics to computer sciences and mechanical engineering. Hence, a correspondingly interdisciplinary team must be equipped with suitable software tools to allow it to handle the complexity of a multimodal and multi-device user interface development approach. An abstract, model-based development approach seems to be adequate for handling this complexity. This approach comprises different levels of abstraction requiring adequate tool support. Thus, in this chapter, we present the current state of our model-based software tool chain. We introduce the use model as the core model of our model-based process, transformation processes, and a model-based architecture, and we present different software tools that provide support for creating and maintaining the models or performing the necessary model transformations.

Integrating O/S models during conceptual design, part 1

NASA Technical Reports Server (NTRS)

Ebeling, Charles E.

1994-01-01

The University of Dayton is pleased to submit this report to the National Aeronautics and Space Administration (NASA), Langley Research Center, which integrates a set of models for determining operational capabilities and support requirements during the conceptual design of proposed space systems. This research provides for the integration of the reliability and maintainability (R&M) model, both new and existing simulation models, and existing operations and support (O&S) costing equations in arriving at a complete analysis methodology. Details concerning the R&M model and the O&S costing model may be found in previous reports accomplished under this grant (NASA Research Grant NAG1-1327). In the process of developing this comprehensive analysis approach, significant enhancements were made to the R&M model, updates to the O&S costing model were accomplished, and a new simulation model developed. This is the 1st part of a 3 part technical report.

Development of Listening Comprehension Tests with Narrative and Expository Texts for Portuguese Students.

PubMed

Santos, Sandra; Viana, Fernanda Leopoldina; Ribeiro, Iolanda; Prieto, Gerardo; Brandão, Sara; Cadime, Irene

2015-03-03

This investigation aimed to develop and collect psychometric data for two tests assessing listening comprehension of Portuguese students in primary school: the Test of Listening Comprehension of Narrative Texts (TLC-n) and the Test of Listening Comprehension of Expository Texts (TLC-e). Two studies were conducted. The purpose of study 1 was to construct four test forms for each of the two tests to assess first, second, third and fourth grade students of the primary school. The TLC-n was administered to 1042 students, and the TLC-e was administered to 848 students. The purpose of study 2 was to test the psychometric properties of new items for the TLC-n form for fourth graders, given that the results in study 1 indicated a severe lack of difficult items. The participants were 260 fourth graders. The data were analysed using the Rasch model. Thirty items were selected for each test form. The results provided support for the model assumptions: Unidimensionality and local independence of the items. The reliability coefficients were higher than .70 for all test forms. The TLC-n and the TLC-e present good psychometric properties and represent an important contribution to the learning disabilities assessment field.

Conceptual Coherence, Comprehension, and Vocabulary Acquisition: A Knowledge Effect?

ERIC Educational Resources Information Center

Cervetti, Gina N.; Wright, Tanya S.; Hwang, HyeJin

2016-01-01

Previous research has documented the role of readers' existing topic knowledge in supporting students' comprehension of text; yet, we know less about how to build students' knowledge in order to support comprehension and vocabulary learning. In the current study, we test the hypothesis that knowledge can be built and leveraged simultaneously in…

America's Challenge: Effective Teachers for At-Risk Schools and Students

ERIC Educational Resources Information Center

Dwyer, Carol A., Ed.

2007-01-01

The National Comprehensive Center for Teacher Quality (NCCTQ) was launched in 2005 as part of a comprehensive system of content-based technical assistance to support states in implementing the priorities of the No Child Left Behind (NCLB) Act. NCCTQ's mission is to support Regional Comprehensive Centers (RCCs), states, and other education…

Inference Instruction to Support Reading Comprehension for Elementary Students with Learning Disabilities

ERIC Educational Resources Information Center

Hall, Colby; Barnes, Marcia A.

2017-01-01

Making inferences during reading is a critical standards-based skill and is important for reading comprehension. This article supports the improvement of reading comprehension for students with learning disabilities (LD) in upper elementary grades by reviewing what is currently known about inference instruction for students with LD and providing…

Nondestructive detection of pork comprehensive quality based on spectroscopy and support vector machine

NASA Astrophysics Data System (ADS)

Liu, Yuanyuan; Peng, Yankun; Zhang, Leilei; Dhakal, Sagar; Wang, Caiping

2014-05-01

Pork is one of the highly consumed meat item in the world. With growing improvement of living standard, concerned stakeholders including consumers and regulatory body pay more attention to comprehensive quality of fresh pork. Different analytical-laboratory based technologies exist to determine quality attributes of pork. However, none of the technologies are able to meet industrial desire of rapid and non-destructive technological development. Current study used optical instrument as a rapid and non-destructive tool to classify 24 h-aged pork longissimus dorsi samples into three kinds of meat (PSE, Normal and DFD), on the basis of color L* and pH24. Total of 66 samples were used in the experiment. Optical system based on Vis/NIR spectral acquisition system (300-1100 nm) was self- developed in laboratory to acquire spectral signal of pork samples. Median smoothing filter (M-filter) and multiplication scatter correction (MSC) was used to remove spectral noise and signal drift. Support vector machine (SVM) prediction model was developed to classify the samples based on their comprehensive qualities. The results showed that the classification model is highly correlated with the actual quality parameters with classification accuracy more than 85%. The system developed in this study being simple and easy to use, results being promising, the system can be used in meat processing industry for real time, non-destructive and rapid detection of pork qualities in future.

Reading comprehension of deaf students in regular education.

PubMed

Luccas, Marcia Regina Zemella; Chiari, Brasília Maria; Goulart, Bárbara Niegia Garcia de

2012-01-01

To evaluate and compare the reading comprehension of deaf students included in regular classrooms of public schools with and without specialized educational support. Observational analytic study with 35 students with sensorineural hearing loss, with and without educational support. All subjects were assessed with the Word Reading Competence Test (WRCT), the Picture-Print Matching Test by Choice (PPMT-C), and the Sentence Reading Comprehension Test (SRCT). In the tests regarding comprehension of words (WRCT and PPMT-C), the results showed no difference in the performance of deaf students who attend and do not attend educational support. Regarding reading comprehension of sentences, the application of the SRCT also did not show differences between the groups of deaf students. A significant correlation was found between age and grade, indicating that the older the students and the higher their educational level, the better their performance in reading sentences. The results indicate that deaf students, regardless of attending educational support, read words better than sentences. There is no difference in reading comprehension between deaf students who receive and do not receive specialized pedagogical monitoring.

Understanding Emissions in East Asia - The KORUS 2015 Emissions Inventory

NASA Astrophysics Data System (ADS)

Woo, J. H.; Kim, Y.; Park, R.; Choi, Y.; Simpson, I. J.; Emmons, L. K.; Streets, D. G.

2017-12-01

The air quality over Northeast Asia have been deteriorated for decades due to high population and energy use in the region. Despite of more stringent air pollution control policies by the governments, air quality over the region seems not been improved as much - even worse sometimes. The needs of more scientific understanding of inter-relationship among emissions, transport, chemistry over the region are much higher to effectively protect public health and ecosystems. Two aircraft filed campaigns targeting year 2016, MAPS-Seoul and KORUS-AQ, have been organized to study the air quality of over Korea and East Asia relating to chemical evolution, emission inventories, trans-boundary contribution, and satellite application. We developed a new East-Asia emissions inventory, named KORUS2015, based on NIER/KU-CREATE (Comprehensive Regional Emissions inventory for Atmospheric Transport Experiment), in support of the filed campaigns. For anthropogenic emissions, it has 54 fuel classes, 201 sub-sectors and 13 pollutants, including CO2, SO2, NOx, CO, NMVOC, NH3, PM10, and PM2.5. Since the KORUS2015 emissions framework was developed using the integrated climate and air quality assessment modeling framework (i.e. GAINS) and is fully connected with the comprehensive emission processing/modeling systems (i.e. SMOKE, KU-EPS, and MEGAN), it can be effectively used to support atmospheric field campaigns for science and policy. During the field campaigns, we are providing modeling emissions inventory to participating air quality models, such as CMAQ, WRF-Chem, CAMx, GEOS-Chem, MOZART, for forecasting and post-analysis modes. Based on initial assessment of those results, we are improving our emissions, such as VOC speciation, biogenic VOCs modeling. From the 2nditeration between emissions and modeling/measurement, further analysis results will be presented at the conference. Acknowledgements : This subject is supported by Korea Ministry of Environment as "Climate Change Correspondence Program." This work was supported under the framework of national strategy project on fine particulate matters by Ministry of Science, ICT and Future Planning.

The relation between children's reading comprehension level and their comprehension of idioms.

PubMed

Cain, Kate; Oakhill, Jane; Lemmon, Kate

2005-01-01

We report an investigation of 9-year-olds' ability to interpret idioms in relation to their reading comprehension level. We manipulated whether the idioms were transparent or opaque, whether they were real or novel, whether they were presented in isolation or in a supportive narrative context. As predicted, children were better able to explain the meanings of idioms in context than in isolation. The good and poor comprehenders did not differ in their abilities to interpret transparent idioms in context, but the poor comprehenders were significantly worse at using context to work out the meanings of opaque idioms. The explanation task revealed the source of information used by the children to derive nontarget interpretations. We discuss these findings in relation to idiom processing strategies and Levorato and Cacciari's global elaboration model.

Supporting user-defined granularities in a spatiotemporal conceptual model

USGS Publications Warehouse

Khatri, V.; Ram, S.; Snodgrass, R.T.; O'Brien, G. M.

2002-01-01

Granularities are integral to spatial and temporal data. A large number of applications require storage of facts along with their temporal and spatial context, which needs to be expressed in terms of appropriate granularities. For many real-world applications, a single granularity in the database is insufficient. In order to support any type of spatial or temporal reasoning, the semantics related to granularities needs to be embedded in the database. Specifying granularities related to facts is an important part of conceptual database design because under-specifying the granularity can restrict an application, affect the relative ordering of events and impact the topological relationships. Closely related to granularities is indeterminacy, i.e., an occurrence time or location associated with a fact that is not known exactly. In this paper, we present an ontology for spatial granularities that is a natural analog of temporal granularities. We propose an upward-compatible, annotation-based spatiotemporal conceptual model that can comprehensively capture the semantics related to spatial and temporal granularities, and indeterminacy without requiring new spatiotemporal constructs. We specify the formal semantics of this spatiotemporal conceptual model via translation to a conventional conceptual model. To underscore the practical focus of our approach, we describe an on-going case study. We apply our approach to a hydrogeologic application at the United States Geologic Survey and demonstrate that our proposed granularity-based spatiotemporal conceptual model is straightforward to use and is comprehensive.

Project STRIDE: Services for Transition to Independence through Education. Final Report, July 1988-June 1990 [and] Manual.

ERIC Educational Resources Information Center

Ross-Gordon, Jovita M.; And Others

The Services for Transition to Independence through Education (STRIDE) project evaluated a model for providing comprehensive training and employment services to adults with mild handicaps, using existing vocational education classes and special needs support programs in a secondary vocational technical school in Altoona, Pennsylvania. Services…

National Association of School Psychologists Model for Comprehensive and Integrated School Psychological Services

ERIC Educational Resources Information Center

School Psychology Review, 2010

2010-01-01

The mission of the National Association of School Psychologists (NASP) is to represent school psychology and support school psychologists to enhance the learning and mental health of all children and youth. "School psychologists" provide effective services to help children and youth succeed academically, socially, behaviorally, and emotionally.…

Success for Minnesota: Success for All Schools in Minnesota Continue To Gain on MCA

ERIC Educational Resources Information Center

Success for All Foundation, 2004

2004-01-01

Success for All is the most extensively researched of all comprehensive reform models for Title I elementary schools. It incorporates scientifically based principles of reading, cooperative learning, professional development, tutoring, and family support. Minnesota elementary schools using the Success for All reading program have once again made …

Integrative Medicine and Mood, Emotions and Mental Health.

PubMed

Shah, Anuj K; Becicka, Roman; Talen, Mary R; Edberg, Deborah; Namboodiri, Sreela

2017-06-01

An integrative approach to individuals with mood, emotional or mental health concerns involves a comprehensive model of care that is person-centered. Integrative medicine builds on a patient's personal meaning and goals (spiritual aspects) and includes herbal therapies, nutritional support, movement and physical manipulative therapies, mindfulness, relaxation strategies, and psychotherapies. Published by Elsevier Inc.

Puerto Rico's PLATO Learning Program: An Independent Evaluation of the PLATO Learning Model

ERIC Educational Resources Information Center

Shillady, Lucinda; Miller, Libbie

2004-01-01

The Comprehensive School Reform (CSR) program has become a valuable resource in the implementation of the Puerto Rico Department of Education's educational reform process. To support the process, the Commonwealth of Puerto Rico granted computerized equipment, reading and mathematics software and training designed for schools. This included reading…

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

Bush, Brian W; Brunhart-Lupo, Nicholas J; Gruchalla, Kenny M

This brochure describes a system dynamics simulation (SD) framework that supports an end-to-end analysis workflow that is optimized for deployment on ESIF facilities(Peregrine and the Insight Center). It includes (I) parallel and distributed simulation of SD models, (ii) real-time 3D visualization of running simulations, and (iii) comprehensive database-oriented persistence of simulation metadata, inputs, and outputs.

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

Bush, Brian W; Brunhart-Lupo, Nicholas J; Gruchalla, Kenny M

This presentation describes a system dynamics simulation (SD) framework that supports an end-to-end analysis workflow that is optimized for deployment on ESIF facilities(Peregrine and the Insight Center). It includes (I) parallel and distributed simulation of SD models, (ii) real-time 3D visualization of running simulations, and (iii) comprehensive database-oriented persistence of simulation metadata, inputs, and outputs.

The Role of Rationality in University Budgeting.

ERIC Educational Resources Information Center

Chaffee, Ellen Earle

1983-01-01

Although empirical accounts of organizational decision making often show that the process is not a rational one, a study of budgeting at Stanford University during the 1970s, while not conclusive or comprehensive, supported the claim that the institution's process was rational and provided a procedure for testing a decision-making model. (MSE)

Managing the University Campus: Exploring Models for the Future and Supporting Today's Decisions

ERIC Educational Resources Information Center

den Heijer, Alexandra

2012-01-01

Managing contemporary campuses and taking decisions that will impact on those of tomorrow is a complex task for universities worldwide. It involves strategic, financial, functional and physical aspects as well as multiple stakeholders. This article summarises the conclusions of a comprehensive PhD research project which was enriched with lessons…

Secondary Prevention in the Urban School: Implementing the Behavior Education Program

ERIC Educational Resources Information Center

McCurdy, Barry L.; Kunsch, Catherine; Reibstein, Sally

2007-01-01

Urban school officials face the challenge of a growing number of students with or at-risk for developing antisocial behavior. The school-wide positive behavior support (PBS) model provides a comprehensive structure for schools to address antisocial behavior more effectively. In this article, the authors document, in case study format, the…

Team-Based Learning: Moderating Effects of Metacognitive Elaborative Rehearsal and Middle School History Content Recall

ERIC Educational Resources Information Center

Roberts, Greg; Scammacca, Nancy; Osman, David J.; Hall, Colby; Mohammed, Sarojani S.; Vaughn, Sharon

2014-01-01

Promoting Acceleration of Comprehension and Content through Text (PACT) and similar team-based models directly engage and support students in learning situations that require cognitive elaboration as part of the processing of new information. Elaboration is subject to metacognitive control, as well (Karpicke, "Journal of Experimental…

Actuarial Science at One Four-Year Comprehensive University

ERIC Educational Resources Information Center

Charlwood, Kevin E.

2014-01-01

Building an Actuarial Science program designated as advanced requires dedicated faculty, support from the administration, and a core group of strong students. Washburn University may serve as a model for those wishing to start or enhance such a program at their institution. We face three main ongoing challenges: first, the hiring and retention of…

How health leaders can benefit from predictive analytics.

PubMed

Giga, Aliyah

2017-11-01

Predictive analytics can support a better integrated health system providing continuous, coordinated, and comprehensive person-centred care to those who could benefit most. In addition to dollars saved, using a predictive model in healthcare can generate opportunities for meaningful improvements in efficiency, productivity, costs, and better population health with targeted interventions toward patients at risk.

Developing a Classroom Management Plan Using a Tiered Approach

ERIC Educational Resources Information Center

Sayeski, Kristin L.; Brown, Monica R.

2011-01-01

In this article, the authors present a response-to-intervention (RTI) framework that both special and general education teachers can use in evaluating existing class structures and developing comprehensive classroom management plans for the purpose of managing challenging behaviors. They applied the concept of a three-tiered model of support at…

Growing a Faculty Writing Group on a Traditionally Teaching-Focused Campus: A Model for Faculty Development

ERIC Educational Resources Information Center

Hampton-Farmer, Cheri; Laverick, Erin; Denecker, Christine; Tulley, Christine E.; Diederich, Nicole; Wilgus, Anthony

2013-01-01

When expectations for scholarly productivity increase at comprehensive universities, faculty writing groups can provide the tools, motivation, and support necessary to achieve both administrative and faculty goals. Narratives from members of a faculty writing group experiencing a shift in institutional expectations for scholarship reveal tangible…

AgBase: supporting functional modeling in agricultural organisms

PubMed Central

McCarthy, Fiona M.; Gresham, Cathy R.; Buza, Teresia J.; Chouvarine, Philippe; Pillai, Lakshmi R.; Kumar, Ranjit; Ozkan, Seval; Wang, Hui; Manda, Prashanti; Arick, Tony; Bridges, Susan M.; Burgess, Shane C.

2011-01-01

AgBase (http://www.agbase.msstate.edu/) provides resources to facilitate modeling of functional genomics data and structural and functional annotation of agriculturally important animal, plant, microbe and parasite genomes. The website is redesigned to improve accessibility and ease of use, including improved search capabilities. Expanded capabilities include new dedicated pages for horse, cat, dog, cotton, rice and soybean. We currently provide 590 240 Gene Ontology (GO) annotations to 105 454 gene products in 64 different species, including GO annotations linked to transcripts represented on agricultural microarrays. For many of these arrays, this provides the only functional annotation available. GO annotations are available for download and we provide comprehensive, species-specific GO annotation files for 18 different organisms. The tools available at AgBase have been expanded and several existing tools improved based upon user feedback. One of seven new tools available at AgBase, GOModeler, supports hypothesis testing from functional genomics data. We host several associated databases and provide genome browsers for three agricultural pathogens. Moreover, we provide comprehensive training resources (including worked examples and tutorials) via links to Educational Resources at the AgBase website. PMID:21075795

The Comprehensive Primary Care Initiative: Effects On Spending, Quality, Patients, And Physicians.

PubMed

Peikes, Deborah; Dale, Stacy; Ghosh, Arkadipta; Taylor, Erin Fries; Swankoski, Kaylyn; O'Malley, Ann S; Day, Timothy J; Duda, Nancy; Singh, Pragya; Anglin, Grace; Sessums, Laura L; Brown, Randall S

2018-06-01

The Comprehensive Primary Care Initiative (CPC), a health care delivery model developed by the Centers for Medicare and Medicaid Services (CMS), tested whether multipayer support of 502 primary care practices across the country would improve primary care delivery, improve care quality, or reduce spending. We evaluated the initiative's effects on care delivery and outcomes for fee-for-service Medicare beneficiaries attributed to initiative practices, relative to those attributed to matched comparison practices. CPC practices reported improvements in primary care delivery, including care management for high-risk patients, enhanced access, and improved coordination of care transitions. The initiative slowed growth in emergency department visits by 2 percent in CPC practices, relative to comparison practices. However, it did not reduce Medicare spending enough to cover care management fees or appreciably improve physician or beneficiary experience or practice performance on a limited set of Medicare claims-based quality measures. As CMS and other payers increasingly use alternative payment models that reward quality and value, CPC provides important lessons about supporting practices in transforming care.

Maternal Depressive Symptomatology, Social Support, and Language Development of Bilingual Preschoolers From Low-Income Households.

PubMed

Cycyk, Lauren M; Bitetti, Dana; Hammer, Carol Scheffner

2015-08-01

This study examined the impact of maternal depressive symptomatology and social support on the English and Spanish language growth of young bilingual children from low-income backgrounds. It was hypothesized that maternal depression would slow children's development in both languages but that social support would buffer the negative effect. Longitudinal data were collected from 83 mothers of Puerto Rican descent and their children who were attending Head Start preschool for 2 years. The effects of maternal depressive symptomatology and social support from family and friends on receptive vocabulary and oral comprehension development in both languages were examined. Growth curve modeling revealed that maternal depressive symptomatology negatively affected Spanish receptive vocabulary development only. Maternal depression did not affect children's English receptive vocabulary or their oral comprehension in either language. Social support was not related to maternal depressive symptomatology or child language. These findings suggest that maternal depression is 1 risk factor that contributes to less robust primary language development of bilingual children from low-income households. Speech-language pathologists must (a) increase their awareness of maternal depression in order to provide families with appropriate mental health referrals and (b) consider their roles as supportive adults for children whose mothers may be depressed.

Maternal Depressive Symptomatology, Social Support, and Language Development of Bilingual Preschoolers From Low-Income Households

PubMed Central

Bitetti, Dana; Hammer, Carol Scheffner

2015-01-01

Purpose This study examined the impact of maternal depressive symptomatology and social support on the English and Spanish language growth of young bilingual children from low-income backgrounds. It was hypothesized that maternal depression would slow children's development in both languages but that social support would buffer the negative effect. Method Longitudinal data were collected from 83 mothers of Puerto Rican descent and their children who were attending Head Start preschool for 2 years. The effects of maternal depressive symptomatology and social support from family and friends on receptive vocabulary and oral comprehension development in both languages were examined. Results Growth curve modeling revealed that maternal depressive symptomatology negatively affected Spanish receptive vocabulary development only. Maternal depression did not affect children's English receptive vocabulary or their oral comprehension in either language. Social support was not related to maternal depressive symptomatology or child language. Conclusions These findings suggest that maternal depression is 1 risk factor that contributes to less robust primary language development of bilingual children from low-income households. Speech-language pathologists must (a) increase their awareness of maternal depression in order to provide families with appropriate mental health referrals and (b) consider their roles as supportive adults for children whose mothers may be depressed. PMID:25863774

A survey on annotation tools for the biomedical literature.

PubMed

Neves, Mariana; Leser, Ulf

2014-03-01

New approaches to biomedical text mining crucially depend on the existence of comprehensive annotated corpora. Such corpora, commonly called gold standards, are important for learning patterns or models during the training phase, for evaluating and comparing the performance of algorithms and also for better understanding the information sought for by means of examples. Gold standards depend on human understanding and manual annotation of natural language text. This process is very time-consuming and expensive because it requires high intellectual effort from domain experts. Accordingly, the lack of gold standards is considered as one of the main bottlenecks for developing novel text mining methods. This situation led the development of tools that support humans in annotating texts. Such tools should be intuitive to use, should support a range of different input formats, should include visualization of annotated texts and should generate an easy-to-parse output format. Today, a range of tools which implement some of these functionalities are available. In this survey, we present a comprehensive survey of tools for supporting annotation of biomedical texts. Altogether, we considered almost 30 tools, 13 of which were selected for an in-depth comparison. The comparison was performed using predefined criteria and was accompanied by hands-on experiences whenever possible. Our survey shows that current tools can support many of the tasks in biomedical text annotation in a satisfying manner, but also that no tool can be considered as a true comprehensive solution.

Do prominent quality measurement surveys capture the concerns of persons with disability?

PubMed

Iezzoni, Lisa I; Marsella, Sarah A; Lopinsky, Tiffany; Heaphy, Dennis; Warsett, Kimberley S

2017-04-01

Demonstration programs nationwide aim to control costs and improve care for people dually-eligible for Medicare and Medicaid, including many persons with disability. Ensuring these initiatives maintain or improve care quality requires comprehensive evaluation of quality of care. To examine whether the common quality measures being used to evaluate the Massachusetts One Care duals demonstration program comprehensively address the concerns of persons with disability. Drawing upon existing conceptual frameworks, we developed a model of interrelationships of personal, health care, and environmental factors for achieving wellness for persons with disability. Based on this model, we specified a scheme to code individual quality measurement items and coded the items contained in 12 measures being used to assess Massachusetts One Care, which exclusively enrolls non-elderly adults with disability. Across these 12 measures, we assigned 376 codes to 302 items; some items received two codes. Taken together, the 12 measures contain items addressing most factors in our conceptual model that affect health care quality for persons with disability, including long-term services and supports. Some important gaps exist. No items examine sexual or reproductive health care, peer support, housing security, disability stigmatization, and specific services obtained outside the home like adult day care. Certain key concepts are covered only by a single or several of the 12 quality measures. Common quality metrics cover most - although not all-health care quality concerns of persons with disability. However, multiple different quality measures are required for this comprehensive coverage, raising questions about respondent burden. Copyright © 2017 Elsevier Inc. All rights reserved.

The Everglades Depth Estimation Network (EDEN) for Support of Ecological and Biological Assessments

USGS Publications Warehouse

Telis, Pamela A.

2006-01-01

The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level monitoring, ground-elevation modeling, and water-surface modeling that provides scientists and managers with current (1999-present), online water-depth information for the entire freshwater portion of the Greater Everglades. Presented on a 400-square-meter grid spacing, EDEN offers a consistent and documented dataset that can be used by scientists and managers to (1) guide large-scale field operations, (2) integrate hydrologic and ecological responses, and (3) support biological and ecological assessments that measure ecosystem responses to the implementation of the Comprehensive Everglades Restoration Plan.

Neural Basis of Action Understanding: Evidence from Sign Language Aphasia.

PubMed

Rogalsky, Corianne; Raphel, Kristin; Tomkovicz, Vivian; O'Grady, Lucinda; Damasio, Hanna; Bellugi, Ursula; Hickok, Gregory

2013-01-01

The neural basis of action understanding is a hotly debated issue. The mirror neuron account holds that motor simulation in fronto-parietal circuits is critical to action understanding including speech comprehension, while others emphasize the ventral stream in the temporal lobe. Evidence from speech strongly supports the ventral stream account, but on the other hand, evidence from manual gesture comprehension (e.g., in limb apraxia) has led to contradictory findings. Here we present a lesion analysis of sign language comprehension. Sign language is an excellent model for studying mirror system function in that it bridges the gap between the visual-manual system in which mirror neurons are best characterized and language systems which have represented a theoretical target of mirror neuron research. Twenty-one life long deaf signers with focal cortical lesions performed two tasks: one involving the comprehension of individual signs and the other involving comprehension of signed sentences (commands). Participants' lesions, as indicated on MRI or CT scans, were mapped onto a template brain to explore the relationship between lesion location and sign comprehension measures. Single sign comprehension was not significantly affected by left hemisphere damage. Sentence sign comprehension impairments were associated with left temporal-parietal damage. We found that damage to mirror system related regions in the left frontal lobe were not associated with deficits on either of these comprehension tasks. We conclude that the mirror system is not critically involved in action understanding.

Effects of depression and social support on comprehension and recall of informed consent information among Parkinson disease patients and their caregivers.

PubMed

Teng, Ellen J; Petersen, Nancy J; Hartman, Christine; Matthiesen, Ellen; Kallen, Michael; Cook, Karon F; Ford, Marvella E

2012-01-01

Relatively little attention has focused on the impact of psychiatric conditions on human subjects' comprehension of consent information. The purpose of this randomized study was to determine whether depression affects comprehension and recall of informed consent information among persons with Parkinson's disease and their caregivers and to evaluate the effects of support on comprehension and recall during the consent process. Comprehension and recall of information were assessed using a modified version of the Modified Quality of Informed Consent Questionnaire, taken 1 week and 1 month later, and scored using a consensus-based algorithm. Participants also completed the Center for Epidemiologic Studies Depression Scale. Data analyses were conducted on 129 patients and caregivers (t-tests, Fisher's exact tests, and ANCOVAs). T-tests showed no significant differences in comprehension and recall between depressed and nondepressed participants at 1 week and 1 month. However, ANCOVA showed patients with a support person present had significantly higher comprehension and recall at 1 week but not at 1 month compared with controls. Caregivers present with a patient had lower comprehension/recall than those without a patient present (p = 0.02). Having a support person present during the informed consent process helps depressed PD patients better retain information in the short-term, but effects diminish over the long-term. Implications for interventions will be discussed.

EFFECTS OF DEPRESSION AND SOCIAL SUPPORT ON COMPREHENSION AND RECALL OF INFORMED CONSENT INFORMATION AMONG PARKINSON DISEASE PATIENTS AND THEIR CAREGIVERS*

PubMed Central

TENG, ELLEN J.; PETERSEN, NANCY J.; HARTMAN, CHRISTINE; MATTHIESEN, ELLEN; KALLEN, MICHAEL; COOK, KARON F.; FORD, MARVELLA E.

2014-01-01

Objective Relatively little attention has focused on the impact of psychiatric conditions on human subjects’ comprehension of consent information. The purpose of this randomized study was to determine whether depression affects comprehension and recall of informed consent information among persons with Parkinson's disease and their caregivers and to evaluate the effects of support on comprehension and recall during the consent process. Method Comprehension and recall of information were assessed using a modified version of the Modified Quality of Informed Consent Questionnaire, taken 1 week and 1 month later, and scored using a consensus-based algorithm. Participants also completed the Center for Epidemiologic Studies Depression Scale. Data analyses were conducted on 129 patients and caregivers (t-tests, Fisher's exact test, and ANCOVAs). Results T-tests showed no significant differences in comprehension and recall between depressed and nondepressed participants at 1 week and 1 month. However, ANCOVA showed patients with a support person present had significantly higher comprehension and recall at 1 week but not at 1 month compared with controls. Caregivers present with a patient had lower comprehension/recall than those without a patient present (p = 0.02). Conclusions Having a support person present during the informed consent process helps depressed PD patients better retain information in the short term, but effects diminish over the long term. Implications for interventions will be discussed. PMID:22641931

A Collaborative Team Teaching Model for a MSW Capstone Course.

PubMed

Moore, Rebecca M; Darby, Kathleen H; Blake, Michelle E

2016-01-01

This exploratory study was embedded in a formative process for the purposes of improving content delivery to an evidence-based practice class, and improving students' performance on a comprehensive exam. A learning and teaching model was utilized by faculty from a three-university collaborative graduate social work program to examine the extent to which course texts and assignments explicitly supported the process, application, and evaluation of evidence-based practices. The model was grounded in a collaborative culture, allowing each faculty to share their collective skills and knowledge across a range of practice settings as they revised the course curriculum. As a result, faculty found they had created a unique community that allowed a wider context for learning and professional development that translated into the classroom. Students enrolled in the revised course across all three universities showed improvement on the comprehensive exam. When faculty themselves invest in collaborative learning and teaching, students benefit.

Counter - Drug: Mandate for the Army.

DTIC Science & Technology

1991-03-01

this comprehensive review will provide a basis for responding to new missions assigned...observations for determining the short-, mid-, and long-term direction of Army support to the national counter-drug effort. Also, this comprehensive review will provide...and long-term direction of Army support to the national counter-drug effort. Also, this comprehensive review will provide a basis for responding

The Effect of a Course Management System (CMS)-Supported Strategy Instruction on EFL Reading Comprehension and Strategy Use

ERIC Educational Resources Information Center

Tsai, Yea-Ru; Talley, Paul C.

2014-01-01

This paper reports on the effect of a Moodle-supported strategy instruction on both reading comprehension and strategy use among EFL (English as a Foreign Language) students. Specific reading strategy training was first integrated into a Moodle system, which included reading exercises on problem identification, monitoring comprehension,…

Factor structure of the Norwegian version of the WAIS-III in a clinical sample: the arithmetic problem.

PubMed

Egeland, Jens; Bosnes, Ole; Johansen, Hans

2009-09-01

Confirmatory Factor Analyses (CFA) of the Wechsler Adult Intelligence Scale-III (WAIS-III) lend partial support to the four-factor model proposed in the test manual. However, the Arithmetic subtest has been especially difficult to allocate to one factor. Using the new Norwegian WAIS-III version, we tested factor models differing in the number of factors and in the placement of the Arithmetic subtest in a mixed clinical sample (n = 272). Only the four-factor solutions had adequate goodness-of-fit values. Allowing Arithmetic to load on both the Verbal Comprehension and Working Memory factors provided a more parsimonious solution compared to considering the subtest only as a measure of Working Memory. Effects of education were particularly high for both the Verbal Comprehension tests and Arithmetic.

Effects of Classroom Practices on Reading Comprehension, Engagement, and Motivations for Adolescents

PubMed Central

Guthrie, John T.; Klauda, Susan Lutz

2014-01-01

We investigated the roles of classroom supports for multiple motivations and engagement in students’ informational text comprehension, motivation, and engagement. A composite of classroom contextual variables consisting of instructional support for choice, importance, collaboration, and competence, accompanied by cognitive scaffolding for informational text comprehension, was provided in four-week instructional units for 615 grade 7 students. These classroom motivational-engagement supports were implemented within integrated literacy/history instruction in the Concept-Oriented Reading Instruction (CORI) framework. CORI increased informational text comprehension compared with traditional instruction (TI) in a switching replications experimental design. Students’ perceptions of the motivational-engagement supports were associated with increases in students’ intrinsic motivation, value, perceived competence, and increased positive engagement (dedication) more markedly in CORI than in TI, according to multiple regression analyses. Results extended the evidence for the effectiveness of CORI to literacy/history subject matter and informational text comprehension among middle school students. The experimental effects in classroom contexts confirmed effects from task-specific, situated experimental studies in the literature. PMID:25506087

Effects of Classroom Practices on Reading Comprehension, Engagement, and Motivations for Adolescents.

PubMed

Guthrie, John T; Klauda, Susan Lutz

2014-10-01

We investigated the roles of classroom supports for multiple motivations and engagement in students' informational text comprehension, motivation, and engagement. A composite of classroom contextual variables consisting of instructional support for choice, importance, collaboration, and competence, accompanied by cognitive scaffolding for informational text comprehension, was provided in four-week instructional units for 615 grade 7 students. These classroom motivational-engagement supports were implemented within integrated literacy/history instruction in the Concept-Oriented Reading Instruction (CORI) framework. CORI increased informational text comprehension compared with traditional instruction (TI) in a switching replications experimental design. Students' perceptions of the motivational-engagement supports were associated with increases in students' intrinsic motivation, value, perceived competence, and increased positive engagement (dedication) more markedly in CORI than in TI, according to multiple regression analyses. Results extended the evidence for the effectiveness of CORI to literacy/history subject matter and informational text comprehension among middle school students. The experimental effects in classroom contexts confirmed effects from task-specific, situated experimental studies in the literature.

Bayesian Network Webserver: a comprehensive tool for biological network modeling.

PubMed

Ziebarth, Jesse D; Bhattacharya, Anindya; Cui, Yan

2013-11-01

The Bayesian Network Webserver (BNW) is a platform for comprehensive network modeling of systems genetics and other biological datasets. It allows users to quickly and seamlessly upload a dataset, learn the structure of the network model that best explains the data and use the model to understand relationships between network variables. Many datasets, including those used to create genetic network models, contain both discrete (e.g. genotype) and continuous (e.g. gene expression traits) variables, and BNW allows for modeling hybrid datasets. Users of BNW can incorporate prior knowledge during structure learning through an easy-to-use structural constraint interface. After structure learning, users are immediately presented with an interactive network model, which can be used to make testable hypotheses about network relationships. BNW, including a downloadable structure learning package, is available at http://compbio.uthsc.edu/BNW. (The BNW interface for adding structural constraints uses HTML5 features that are not supported by current version of Internet Explorer. We suggest using other browsers (e.g. Google Chrome or Mozilla Firefox) when accessing BNW). ycui2@uthsc.edu. Supplementary data are available at Bioinformatics online.

Climate Model Diagnostic Analyzer

NASA Technical Reports Server (NTRS)

Lee, Seungwon; Pan, Lei; Zhai, Chengxing; Tang, Benyang; Kubar, Terry; Zhang, Zia; Wang, Wei

2015-01-01

The comprehensive and innovative evaluation of climate models with newly available global observations is critically needed for the improvement of climate model current-state representation and future-state predictability. A climate model diagnostic evaluation process requires physics-based multi-variable analyses that typically involve large-volume and heterogeneous datasets, making them both computation- and data-intensive. With an exploratory nature of climate data analyses and an explosive growth of datasets and service tools, scientists are struggling to keep track of their datasets, tools, and execution/study history, let alone sharing them with others. In response, we have developed a cloud-enabled, provenance-supported, web-service system called Climate Model Diagnostic Analyzer (CMDA). CMDA enables the physics-based, multivariable model performance evaluations and diagnoses through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs. At the same time, CMDA provides a crowd-sourcing space where scientists can organize their work efficiently and share their work with others. CMDA is empowered by many current state-of-the-art software packages in web service, provenance, and semantic search.

Development of a comprehensive model for stakeholder management in mental healthcare.

PubMed

Bierbooms, Joyce; Van Oers, Hans; Rijkers, Jeroen; Bongers, Inge

2016-06-20

Purpose - Stakeholder management is not yet incorporated into the standard practice of most healthcare providers. The purpose of this paper is to assess the applicability of a comprehensive model for stakeholder management in mental healthcare organization for more evidence-based (stakeholder) management. Design/methodology/approach - The assessment was performed in two research parts: the steps described in the model were executed in a single case study at a mental healthcare organization in the Netherlands; and a process and effect evaluation was done to find the supporting and impeding factors with regard to the applicability of the model. Interviews were held with managers and directors to evaluate the effectiveness of the model with a view to stakeholder management. Findings - The stakeholder analysis resulted in the identification of eight stakeholder groups. Different expectations were identified for each of these groups. The analysis on performance gaps revealed that stakeholders generally find the collaboration with a mental healthcare provider "sufficient." Finally a prioritization showed that five stakeholder groups were seen as "definite" stakeholders by the organization. Practical implications - The assessment of the model showed that it generated useful knowledge for more evidence-based (stakeholder) management. Adaptation of the model is needed to increase its feasibility in practice. Originality/value - Provided that the model is properly adapted for the specific field, the analysis can provide more knowledge on stakeholders and can help integrate stakeholder management as a comprehensive process in policy planning.

Using Research and Evaluation to Support Comprehensive Reform

ERIC Educational Resources Information Center

Brock, Thomas; Mayer, Alexander K.; Rutschow, Elizabeth Zachry

2016-01-01

This chapter explores the role that research and evaluation play in supporting comprehensive reform in community colleges, focusing on lessons from two major initiatives: Achieving the Dream and Completion by Design.

The determination of operational and support requirements and costs during the conceptual design of space systems

NASA Technical Reports Server (NTRS)

Ebeling, Charles; Beasley, Kenneth D.

1992-01-01

The first year of research to provide NASA support in predicting operational and support parameters and costs of proposed space systems is reported. Some of the specific research objectives were (1) to develop a methodology for deriving reliability and maintainability parameters and, based upon their estimates, determine the operational capability and support costs, and (2) to identify data sources and establish an initial data base to implement the methodology. Implementation of the methodology is accomplished through the development of a comprehensive computer model. While the model appears to work reasonably well when applied to aircraft systems, it was not accurate when used for space systems. The model is dynamic and should be updated as new data become available. It is particularly important to integrate the current aircraft data base with data obtained from the Space Shuttle and other space systems since subsystems unique to a space vehicle require data not available from aircraft. This research only addressed the major subsystems on the vehicle.

76 FR 34812 - Proposed Information Collection (Joint Application for Comprehensive Assistance and Support...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-14

... Application for Comprehensive Assistance and Support Services for Family Caregivers); Comment Request AGENCY... and their caregivers' eligibility to participate in the Family Caregivers Program. DATES: Written... Assistance and Support Services for Family Caregivers, VA Form 10-10-10CG. OMB Control Number: 2900-0768...

Learner Perceptions of Reliance on Captions in EFL Multimedia Listening Comprehension

ERIC Educational Resources Information Center

Leveridge, Aubrey Neil; Yang, Jie Chi

2014-01-01

Instructional support has been widely discussed as a strategy to optimize student-learning experiences. This study examines instructional support within the context of a multimedia language-learning environment, with the predominant focus on learners' perceptions of captioning support for listening comprehension. The study seeks to answer two…

Assessing Comprehension During Reading with the Reading Strategy Assessment Tool (RSAT)

PubMed Central

Magliano, Joseph P.; Millis, Keith K.; Levinstein, Irwin

2011-01-01

Comprehension emerges as the results of inference and strategic processes that support the construction of a coherent mental model for a text. However, the vast majority of comprehension skills tests adopt a format that does not afford an assessment of these processes as they operate during reading. This study assessed the viability of the Reading Strategy Assessment Tool (RSAT), which is an automated computer-based reading assessment designed to measure readers’ comprehension and spontaneous use of reading strategies while reading texts. In the tool, readers comprehend passages one sentence at a time, and are asked either an indirect (“What are your thoughts regarding your understanding of the sentence in the context of the passage?”) or direct (e.g., why X?) question after reading each pre-selected target sentence. The answers to the indirect questions are analyzed on the extent that they contain words associated with comprehension processes. The answers to direct questions are coded for the number of content words in common with an ideal answer, which is intended to be an assessment of emerging comprehension. In the study, the RSAT approach was shown to predict measures of comprehension comparable to standardized tests. The RSAT variables were also shown to correlate with human ratings. The results of this study constitute a “proof of concept” and demonstrate that it is possible to develop a comprehension skills assessment tool that assesses both comprehension and comprehension strategies. PMID:23901332

A modelling tool for policy analysis to support the design of efficient and effective policy responses for complex public health problems.

PubMed

Atkinson, Jo-An; Page, Andrew; Wells, Robert; Milat, Andrew; Wilson, Andrew

2015-03-03

In the design of public health policy, a broader understanding of risk factors for disease across the life course, and an increasing awareness of the social determinants of health, has led to the development of more comprehensive, cross-sectoral strategies to tackle complex problems. However, comprehensive strategies may not represent the most efficient or effective approach to reducing disease burden at the population level. Rather, they may act to spread finite resources less intensively over a greater number of programs and initiatives, diluting the potential impact of the investment. While analytic tools are available that use research evidence to help identify and prioritise disease risk factors for public health action, they are inadequate to support more targeted and effective policy responses for complex public health problems. This paper discusses the limitations of analytic tools that are commonly used to support evidence-informed policy decisions for complex problems. It proposes an alternative policy analysis tool which can integrate diverse evidence sources and provide a platform for virtual testing of policy alternatives in order to design solutions that are efficient, effective, and equitable. The case of suicide prevention in Australia is presented to demonstrate the limitations of current tools to adequately inform prevention policy and discusses the utility of the new policy analysis tool. In contrast to popular belief, a systems approach takes a step beyond comprehensive thinking and seeks to identify where best to target public health action and resources for optimal impact. It is concerned primarily with what can be reasonably left out of strategies for prevention and can be used to explore where disinvestment may occur without adversely affecting population health (or equity). Simulation modelling used for policy analysis offers promise in being able to better operationalise research evidence to support decision making for complex problems, improve targeting of public health policy, and offers a foundation for strengthening relationships between policy makers, stakeholders, and researchers.

Supportive Care: Comprehensive Conservative Care in End-Stage Kidney Disease.

PubMed

Murtagh, Fliss E M; Burns, Aine; Moranne, Olivier; Morton, Rachael L; Naicker, Saraladevi

2016-10-07

Comprehensive conservative (nondialytic) kidney care is widely recognized and delivered but until recently, has not been clearly defined. We provide a clear definition of comprehensive conservative care. This includes interventions to delay progression of kidney disease and minimize complications as well as detailed communication, shared decision making, advance care planning, and psychologic and family support. It does not include dialysis. Limited epidemiologic evidence from Australia and Canada indicates that, for every new person diagnosed with ESRD who receives dialysis or transplant, there is one new person who is managed conservatively (either actively or not). For older patients (those >75 or 80 years old) who have higher levels of comorbidity (such as diabetes and heart disease) and poorer functional status, the survival advantage of dialysis may be limited, and comprehensive conservative management may be considered; however, robust comparative evidence remains limited. Considerations of symptoms, quality of life, and hospital-free days are as or sometimes more important for patients and families than survival. There is some evidence that communication about possible conservative management options is generally insufficient, even where comprehensive conservative care pathways are already established. Symptom control and the cost-effectiveness of interventions are addressed in the companion papers within this Moving Points in Nephrology series. There is almost no evidence about which models of care and which interventions might be most beneficial in this population; future research on these areas is much needed. Meanwhile, consistency in definition of comprehensive conservative care and basing interventions on existing evidence about survival, symptoms, quality of life, and experience will maximize patient-centered and holistic care. Copyright © 2016 by the American Society of Nephrology.

Effects of Supported Electronic Text and Explicit Instruction on Science Comprehension by Students with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Knight, Victoria Floyd

2010-01-01

Supported electronic text (eText), or text that has been altered to increase access and provide support to learners, may promote comprehension of science content for students with disabilities. According to CAST, "Book Builder" (TM) uses supported eText to promote reading for meaning for all students. Although little research has been conducted in…

The Effects of Visual Attention Span and Phonological Decoding in Reading Comprehension in Dyslexia: A Path Analysis.

PubMed

Chen, Chen; Schneps, Matthew H; Masyn, Katherine E; Thomson, Jennifer M

2016-11-01

Increasing evidence has shown visual attention span to be a factor, distinct from phonological skills, that explains single-word identification (pseudo-word/word reading) performance in dyslexia. Yet, little is known about how well visual attention span explains text comprehension. Observing reading comprehension in a sample of 105 high school students with dyslexia, we used a pathway analysis to examine the direct and indirect path between visual attention span and reading comprehension while controlling for other factors such as phonological awareness, letter identification, short-term memory, IQ and age. Integrating phonemic decoding efficiency skills in the analytic model, this study aimed to disentangle how visual attention span and phonological skills work together in reading comprehension for readers with dyslexia. We found visual attention span to have a significant direct effect on more difficult reading comprehension but not on an easier level. It also had a significant direct effect on pseudo-word identification but not on word identification. In addition, we found that visual attention span indirectly explains reading comprehension through pseudo-word reading and word reading skills. This study supports the hypothesis that at least part of the dyslexic profile can be explained by visual attention abilities. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Family Support: Fostering Leadership and Partnership to Improve Access and Quality. Building State Early Childhood Comprehensive Systems Series, Number 14

ERIC Educational Resources Information Center

Thompson, Lisa; Uyeda, Kimberly

2004-01-01

The federal Maternal and Child Health Bureau (MCHB) has launched a five-year initiative that will support state efforts to build comprehensive early childhood service systems. This initiative--the State Early Childhood Comprehensive Systems (SECCS) Initiative--provides planning and implementation grants to the state and territory Maternal and…

Effectiveness of a systematic approach to promote intersectoral collaboration in comprehensive school health promotion-a multiple-case study using quantitative and qualitative data.

PubMed

Pucher, Katharina K; Candel, Math J J M; Krumeich, Anja; Boot, Nicole M W M; De Vries, Nanne K

2015-07-05

We report on the longitudinal quantitative and qualitative data resulting from a two-year trajectory (2008-2011) based on the DIagnosis of Sustainable Collaboration (DISC) model. This trajectory aimed to support regional coordinators of comprehensive school health promotion (CSHP) in systematically developing change management and project management to establish intersectoral collaboration. Multilevel analyses of quantitative data on the determinants of collaborations according to the DISC model were done, with 90 respondents (response 57 %) at pretest and 69 respondents (52 %) at posttest. Nvivo analyses of the qualitative data collected during the trajectory included minutes of monthly/bimonthly personal/telephone interviews (N = 65) with regional coordinators, and documents they produced about their activities. Quantitative data showed major improvements in change management and project management. There were also improvements in consensus development, commitment formation, formalization of the CSHP, and alignment of policies, although organizational problems within the collaboration increased. Content analyses of qualitative data identified five main management styles, including (1) facilitating active involvement of relevant parties; (2) informing collaborating parties; (3) controlling and (4) supporting their task accomplishment; and (5) coordinating the collaborative processes. We have contributed to the fundamental understanding of the development of intersectoral collaboration by combining qualitative and quantitative data. Our results support a systematic approach to intersectoral collaboration using the DISC model. They also suggest five main management styles to improve intersectoral collaboration in the initial stage. The outcomes are useful for health professionals involved in similar ventures.

Redesigning care for patients at increased hospitalization risk: the Comprehensive Care Physician model.

PubMed

Meltzer, David O; Ruhnke, Gregory W

2014-05-01

Patients who have been hospitalized often experience care coordination problems that worsen outcomes and increase costs. One reason is that hospital care and ambulatory care are often provided by different physicians. However, interventions to improve care coordination for hospitalized patients have not consistently improved outcomes and generally have not reduced costs. We describe the rationale for the Comprehensive Care Physician model, in which physicians focus their practice on patients at increased risk of hospitalization so that they can provide both inpatient and outpatient care to their patients. We also describe the design and implementation of a study supported by the Center for Medicare and Medicaid Innovation to assess the model's effects on costs and outcomes. Evidence concerning the effectiveness of the program is expected by 2016. If the program is found to be effective, the next steps will be to assess the durability of its benefits and the model's potential for dissemination; evidence to the contrary will provide insights into how to alter the program to address sources of failure.

Instruction of Research-Based Comprehension Strategies in Basal Reading Programs

ERIC Educational Resources Information Center

Pilonieta, Paola

2010-01-01

Research supports using research-based comprehension strategies; however, comprehension strategy instruction is not highly visible in basal reading programs or classroom instruction, resulting in many students who struggle with comprehension. A content analysis examined which research-based comprehension strategies were presented in five…

Toward a comprehensive hybrid physical-virtual reality simulator of peripheral anesthesia with ultrasound and neurostimulator guidance.

PubMed

Samosky, Joseph T; Allen, Pete; Boronyak, Steve; Branstetter, Barton; Hein, Steven; Juhas, Mark; Nelson, Douglas A; Orebaugh, Steven; Pinto, Rohan; Smelko, Adam; Thompson, Mitch; Weaver, Robert A

2011-01-01

We are developing a simulator of peripheral nerve block utilizing a mixed-reality approach: the combination of a physical model, an MRI-derived virtual model, mechatronics and spatial tracking. Our design uses tangible (physical) interfaces to simulate surface anatomy, haptic feedback during needle insertion, mechatronic display of muscle twitch corresponding to the specific nerve stimulated, and visual and haptic feedback for the injection syringe. The twitch response is calculated incorporating the sensed output of a real neurostimulator. The virtual model is isomorphic with the physical model and is derived from segmented MRI data. This model provides the subsurface anatomy and, combined with electromagnetic tracking of a sham ultrasound probe and a standard nerve block needle, supports simulated ultrasound display and measurement of needle location and proximity to nerves and vessels. The needle tracking and virtual model also support objective performance metrics of needle targeting technique.

The enhanced Software Life Cyle Support Environment (ProSLCSE): Automation for enterprise and process modeling

NASA Technical Reports Server (NTRS)

Milligan, James R.; Dutton, James E.

1993-01-01

In this paper, we have introduced a comprehensive method for enterprise modeling that addresses the three important aspects of how an organization goes about its business. FirstEP includes infrastructure modeling, information modeling, and process modeling notations that are intended to be easy to learn and use. The notations stress the use of straightforward visual languages that are intuitive, syntactically simple, and semantically rich. ProSLCSE will be developed with automated tools and services to facilitate enterprise modeling and process enactment. In the spirit of FirstEP, ProSLCSE tools will also be seductively easy to use. Achieving fully managed, optimized software development and support processes will be long and arduous for most software organizations, and many serious problems will have to be solved along the way. ProSLCSE will provide the ability to document, communicate, and modify existing processes, which is the necessary first step.

Underwater Sound Propagation Modeling Methods for Predicting Marine Animal Exposure.

PubMed

Hamm, Craig A; McCammon, Diana F; Taillefer, Martin L

2016-01-01

The offshore exploration and production (E&P) industry requires comprehensive and accurate ocean acoustic models for determining the exposure of marine life to the high levels of sound used in seismic surveys and other E&P activities. This paper reviews the types of acoustic models most useful for predicting the propagation of undersea noise sources and describes current exposure models. The severe problems caused by model sensitivity to the uncertainty in the environment are highlighted to support the conclusion that it is vital that risk assessments include transmission loss estimates with statistical measures of confidence.

Family first: Community-based supports for refugees.

PubMed

Pejic, Vanja; Hess, Robyn S; Miller, Gloria E; Wille, Alice

2016-01-01

This article presents a community-based approach that targets family interventions and services through a preventive, family systems ecological framework. A public health approach is used to emphasize the need for a tiered model of family support that builds on the strengths of refugee families while recognizing their specific needs and challenges. The rationale for a family systems ecological perspective is presented to highlight the critical features of effective family support programs for refugee families, followed by a discussion regarding the transitions and adaptation faced by refugee families when entering the United States. Finally, a public-health problem solving model is employed to promote a comprehensive vision for how more effective support can be developed to best serve the mental health needs of refugee families. An integrated case example highlighting the Somali Parent Program, a family-focused intervention, is also provided. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

American Sign Language and Academic English: Factors Influencing the Reading of Bilingual Secondary School Deaf and Hard of Hearing Students.

PubMed

Scott, Jessica A; Hoffmeister, Robert J

2017-01-01

For many years, researchers have sought to understand the reading development of deaf and hard of hearing (DHH) students. Guided by prior research on DHH and hearing students, in this study we investigate the hypothesis that for secondary school DHH students enrolled in American Sign Language (ASL)/English bilingual schools for the deaf, academic English proficiency would be a significant predictor of reading comprehension alongside ASL proficiency. Using linear regression, we found statistically significant interaction effects between academic English knowledge and word reading fluency in predicting the reading comprehension scores of the participants. However, ASL remained the strongest and most consistent predictor of reading comprehension within the sample. Findings support a model in which socio-demographic factors, ASL proficiency, and word reading fluency are primary predictors of reading comprehension for secondary DHH students. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@.com.

Supporting Children in Mastering Temporal Relations of Stories: The TERENCE Learning Approach

ERIC Educational Resources Information Center

Di Mascio, Tania; Gennari, Rosella; Melonio, Alessandra; Tarantino, Laura

2016-01-01

Though temporal reasoning is a key factor for text comprehension, existing proposals for visualizing temporal information and temporal connectives proves to be inadequate for children, not only for their levels of abstraction and detail, but also because they rely on pre-existing mental models of time and temporal connectives, while in the case of…

An Integrated Student Development Program. A Model for Small Colleges. Final Report to FIPSE.

ERIC Educational Resources Information Center

Willats, Bruce

A 3-year project at Dominican College of San Rafael (California) supported by a grant from the Fund for the Improvement of Postsecondary Education (FIPSE), is summarized. The project developed comprehensive integrated student development plan with four perspectives: (skills, stages, tasks, and styles) designed as a cornerstone of all academic and…

Using the Comprehensive Support Model to Work with Culturally and Linguistically Diverse Students with Learning Disabilities

ERIC Educational Resources Information Center

Obiakor, Festus E.; McCollin, Michelle J.

2011-01-01

The whole village must take responsibility for the education of its children and youth. This is particularly critical for children from culturally and linguistically diverse (CLD) backgrounds with learning disabilities (LD). Since the establishment of the LD category, there have been different and conflicting rationalizations for the extremely…

Predictors and Mediators of Sustainable Collaboration and Implementation in Comprehensive School Health Promotion

ERIC Educational Resources Information Center

Pucher, Katharina K.; Candel, Math J. J. M.; Boot, Nicole M. W. M.; de Vries, Nanne K.

2017-01-01

Purpose: The Diagnosis of Sustainable Collaboration (DISC) model (Leurs et al., 2008) specifies five factors (i.e. project management, change management, context, external factors, and stakeholders' support) which predict whether collaboration becomes strong and stable. The purpose of this paper is to study the dynamics of these factors in a study…

Connecticut Builds: How One Public University Became a National Model for Infrastructure Investment

ERIC Educational Resources Information Center

Austin, Philip E.

2002-01-01

Billion-dollar investments in public higher education do not come easily in the State of Connecticut--or anywhere in New England. So, when in 1995, Connecticut Gov. John Rowland and the state's General Assembly approved the $1 billion comprehensive infrastructure improvement and private support incentive program known as UConn 2000, this was…

Critical Argument and Writer Identity: Social Constructivism as a Theoretical Framework for EFL Academic Writing

ERIC Educational Resources Information Center

McKinley, Jim

2015-01-01

This article makes the argument that we need to situate student's academic writing as socially constructed pieces of writing that embody a writer's cultural identity and critical argument. In support, I present and describe a comprehensive model of an original English as a Foreign Language (EFL) writing analytical framework. This article explains…

Detailed study of NBTI characterization in 40-nm CMOS process using comprehensive models

NASA Astrophysics Data System (ADS)

Zeng, Yan; Li, Xiao-Jin; Qing, Jian; Sun, Ya-Bin; Shi, Yan-Ling; Guo, Ao; Hu, Shao-Jian

2017-09-01

Not Available Project supported by the National Natural Science Foundation of China (Grant Nos. 61574056 and 61204038), the Natural Science Funds of Shanghai, China (Grant No. 14ZR1412000), the Fund from the Science and Technology Commission of Shanghai Municipality (Grant No. 14DZ2260800), and Shanghai Sailing Program (Grant No. 17YF1404700).

Intensive Behavioral Intervention for School-Aged Children with Autism: Una Breccia nel Muro (UBM)--A Comprehensive Behavioral Model

ERIC Educational Resources Information Center

Fava, Leonardo; Vicari, Stefano; Valeri, Giovanni; D'Elia, Lidia; Arima, Serena; Strauss, Kristin

2012-01-01

Although, reviews and outcome research supports empirical evidence for Early Intensive Behavior Intervention in pre-scholars, intensive behavioral service provision for school-aged children with autism spectrum disorders (ASD) are less subject to research studies. In order to provide effective behavioral interventions for school-aged children it…

Structures and Strategies for Linking the Higher Education and Employment Communities. Higher Education/CETA Project Monograph.

ERIC Educational Resources Information Center

Clark, Donald M.; Rinehart, Richard L.

A model is presented for establishing or improving cooperative relationships between higher education and the employment community, as part of the American Council on Education's Higher Education/Comprehensive Employment and Training Act (CETA) Project, which was supported by the Fund for the Improvement of Postsecondary Education. Attention is…

School-Based Clinics: A Guide for Advocates. Developing Policy Statements, Educating Decision Makers, Enlisting Local Support.

ERIC Educational Resources Information Center

Center for Population Options, Washington, DC.

School-based clinics (SBCs) are comprehensive primary health care facilities located within or on the grounds of middle, junior, or senior high schools. Varying in size and organizational structure, SBCs have emerged as an effective model for advancing adolescent health. They have gained attention because of their potential for treating problems…

DroidSafe

DTIC Science & Technology

2016-12-01

branches of our work . 3.1 Understanding Sensitive API Call and API Information Usage Android applications are written in a type- safe language (Java...directly invoke resolved targets. Because DroidSafe works with a comprehensive model of the Android environment , it supports precise resolution of...STATEMENT. FOR THE CHIEF ENGINEER: / S / / S / MARK K. WILLIAMS WARREN H. DEBANY, JR. Work Unit Manager

Adult language use and infant comprehension of English: associations with encoding and generalization across cues at 20 months.

PubMed

Phung, Janice N; Milojevich, Helen M; Lukowski, Angela F

2014-11-01

Adult-provided language shapes event memory in children who are preverbal and in those who are able to discuss the past using language. The research conducted to date, however, has not yet established whether infant language comprehension abilities moderate the extent to which preverbal infants benefit from adult-provided supportive language. The present study was conducted to address this question by examining immediate imitation and 1-week delayed generalization across cues in 20-month-old infants as a function of (a) variability in adult-provided linguistic support at encoding and test, (b) infant language comprehension abilities, and (c) their interaction. The provision of supportive adult language at encoding and test was associated with delayed generalization across cues although supportive adult language at encoding did not influence performance at immediate imitation. Infant language comprehension abilities were associated with performance at immediate imitation and delayed generalization across cues. In addition, infant language comprehension abilities moderated the extent to which infants benefited from adult-provided supportive language at encoding and test. The findings contribute to the literature by demonstrating that adult language use and infant language comprehension are independently and differentially associated with immediate imitation and 1-week delayed generalization across cues but also serve to jointly structure event memory in the second year of life. Copyright © 2014 Elsevier Inc. All rights reserved.

Right is not always wrong: DTI and fMRI evidence for the reliance of reading comprehension on language-comprehension networks in the right hemisphere.

PubMed

Horowitz-Kraus, Tzipi; Grainger, Molly; DiFrancesco, Mark; Vannest, Jennifer; Holland, Scott K

2015-03-01

The Simple View theory suggests that reading comprehension relies on automatic recognition of words combined with language comprehension. The goal of the current study was to examine the structural and functional connectivity in networks supporting reading comprehension and their relationship with language comprehension within 7-9 year old children using Diffusion Tensor Imaging (DTI) and fMRI during a Sentence Picture Matching task. Fractional Anisotropy (FA) values in the left and right Inferior Longitudinal Fasciculus (ILF) and Superior Longitudinal Fasciculus (SLF), known language-related tracts, were correlated from DTI data with scores from the Woodcock-Johnson III (WJ-III) Passage Comprehension sub-test. Brodmann areas most proximal to white-matter regions with significant correlation to Passage Comprehension scores were chosen as Regions-of-Interest (ROIs) and used as seeds in a functional connectivity analysis using the Sentence Picture Matching task. The correlation between percentile scores for the WJ-III Passage Comprehension subtest and the FA values in the right and left ILF and SLF indicated positive correlation in language-related ROIs, with greater distribution in the right hemisphere, which in turn showed strong connectivity in the fMRI data from the Sentence Picture Matching task. These results support the participation of the right hemisphere in reading comprehension and may provide physiologic support for a distinction between different types of reading comprehension deficits vs difficulties in technical reading.

Toward a Comprehensive System of Personnel Development in Deafblind Education.

PubMed

Parker, Amy T; Nelson, Catherine

2016-01-01

Students who are deafblind are a unique population with unique needs for learning, communication, and environmental access. Two roles have been identified as important to their education: teacher of the deafblind and intervener. However, these roles are not officially recognized in most states. Because of this lack of recognition and the low incidence of deafblindness, it is difficult to sustain systems that prepare highly qualified personnel with advanced training and knowledge in educational strategies for children and youth who are deafblind. The authors propose a comprehensive system of personnel development (CSPD) for deafblind education. The components of this system are standards, preservice training, in-service/professional development, leadership development, research, and, finally, planning coordination, and evaluation. The authors describe elements of the model that are being implemented and provide suggestions to support the future development of a comprehensive system.

Predictive modeling of addiction lapses in a mobile health application.

PubMed

Chih, Ming-Yuan; Patton, Timothy; McTavish, Fiona M; Isham, Andrew J; Judkins-Fisher, Chris L; Atwood, Amy K; Gustafson, David H

2014-01-01

The chronically relapsing nature of alcoholism leads to substantial personal, family, and societal costs. Addiction-comprehensive health enhancement support system (A-CHESS) is a smartphone application that aims to reduce relapse. To offer targeted support to patients who are at risk of lapses within the coming week, a Bayesian network model to predict such events was constructed using responses on 2,934 weekly surveys (called the Weekly Check-in) from 152 alcohol-dependent individuals who recently completed residential treatment. The Weekly Check-in is a self-monitoring service, provided in A-CHESS, to track patients' recovery progress. The model showed good predictability, with the area under receiver operating characteristic curve of 0.829 in the 10-fold cross-validation and 0.912 in the external validation. The sensitivity/specificity table assists the tradeoff decisions necessary to apply the model in practice. This study moves us closer to the goal of providing lapse prediction so that patients might receive more targeted and timely support. © 2013.

Predictive Modeling of Addiction Lapses in a Mobile Health Application

PubMed Central

Chih, Ming-Yuan; Patton, Timothy; McTavish, Fiona M.; Isham, Andrew; Judkins-Fisher, Chris L.; Atwood, Amy K.; Gustafson, David H.

2013-01-01

The chronically relapsing nature of alcoholism leads to substantial personal, family, and societal costs. Addiction-Comprehensive Health Enhancement Support System (A-CHESS) is a smartphone application that aims to reduce relapse. To offer targeted support to patients who are at risk of lapses within the coming week, a Bayesian network model to predict such events was constructed using responses on 2,934 weekly surveys (called the Weekly Check-in) from 152 alcohol-dependent individuals who recently completed residential treatment. The Weekly Check-in is a self-monitoring service, provided in A-CHESS, to track patients’ recovery progress. The model showed good predictability, with the area under receiver operating characteristic curve of 0.829 in the 10-fold cross-validation and 0.912 in the external validation. The sensitivity/specificity table assists the tradeoff decisions necessary to apply the model in practice. This study moves us closer to the goal of providing lapse prediction so that patients might receive more targeted and timely support. PMID:24035143

Integrating a Multi-Tiered System of Supports with Comprehensive School Counseling Programs

ERIC Educational Resources Information Center

Ziomek-Daigle, Jolie; Goodman-Scott, Emily; Cavin, Jason; Donohue, Peg

2016-01-01

A multi-tiered system of supports, including Response to Intervention and Positive Behavioral Interventions and Supports, is a widely utilized framework implemented in K-12 schools to address the academic and behavioral needs of all students. School counselors are leaders who facilitate comprehensive school counseling programs and demonstrate…

Sex-specific effect of CPB2 Ala147Thr but not Thr325Ile variants on the risk of venous thrombosis: A comprehensive meta-analysis

PubMed Central

Zwingerman, Nora; Medina-Rivera, Alejandra; Kassam, Irfahan; Wilson, Michael D.; Morange, Pierre-Emmanuel; Trégouët, David-Alexandre; Gagnon, France

2017-01-01

Background Thrombin activatable fibrinolysis inhibitor (TAFI), encoded by the Carboxypeptidase B2 gene (CPB2), is an inhibitor of fibrinolysis and plays a role in the pathogenesis of venous thrombosis. Experimental findings support a functional role of genetic variants in CPB2, while epidemiological studies have been unable to confirm associations with risk of venous thrombosis. Sex-specific effects could underlie the observed inconsistent associations between CPB2 genetic variants and venous thrombosis. Methods A comprehensive literature search was conducted for associations between Ala147Thr and Thr325Ile variants with venous thrombosis. Authors were contacted to provide sex-specific genotype counts from their studies. Combined and sex-specific random effects meta-analyses were used to estimate a pooled effect estimate for primary and secondary genetic models. Results A total of 17 studies met the inclusion criteria. A sex-specific meta-analysis applying a dominant model supported a protective effect of Ala147Thr on venous thrombosis in females (OR = 0.81, 95%CI: 0.68,0.97; p = 0.018), but not in males (OR = 1.06, 95%CI:0.96–1.16; p = 0.263). The Thr325Ile did not show a sex-specific effect but showed variation in allele frequencies by geographic region. A subgroup analysis of studies in European countries showed decreased risk, with a recessive model (OR = 0.83, 95%CI:0.71–0.97, p = 0.021) for venous thrombosis. Conclusions A comprehensive literature review, including unpublished data, provided greater statistical power for the analyses and decreased the likelihood of publication bias influencing the results. Sex-specific analyses explained apparent discrepancies across genetic studies of Ala147Thr and venous thrombosis. While, careful selection of genetic models based on population genetics, evolutionary and biological knowledge can increase power by decreasing the need to adjust for testing multiple models. PMID:28552956

Sex-specific effect of CPB2 Ala147Thr but not Thr325Ile variants on the risk of venous thrombosis: A comprehensive meta-analysis.

PubMed

Zwingerman, Nora; Medina-Rivera, Alejandra; Kassam, Irfahan; Wilson, Michael D; Morange, Pierre-Emmanuel; Trégouët, David-Alexandre; Gagnon, France

2017-01-01

Thrombin activatable fibrinolysis inhibitor (TAFI), encoded by the Carboxypeptidase B2 gene (CPB2), is an inhibitor of fibrinolysis and plays a role in the pathogenesis of venous thrombosis. Experimental findings support a functional role of genetic variants in CPB2, while epidemiological studies have been unable to confirm associations with risk of venous thrombosis. Sex-specific effects could underlie the observed inconsistent associations between CPB2 genetic variants and venous thrombosis. A comprehensive literature search was conducted for associations between Ala147Thr and Thr325Ile variants with venous thrombosis. Authors were contacted to provide sex-specific genotype counts from their studies. Combined and sex-specific random effects meta-analyses were used to estimate a pooled effect estimate for primary and secondary genetic models. A total of 17 studies met the inclusion criteria. A sex-specific meta-analysis applying a dominant model supported a protective effect of Ala147Thr on venous thrombosis in females (OR = 0.81, 95%CI: 0.68,0.97; p = 0.018), but not in males (OR = 1.06, 95%CI:0.96-1.16; p = 0.263). The Thr325Ile did not show a sex-specific effect but showed variation in allele frequencies by geographic region. A subgroup analysis of studies in European countries showed decreased risk, with a recessive model (OR = 0.83, 95%CI:0.71-0.97, p = 0.021) for venous thrombosis. A comprehensive literature review, including unpublished data, provided greater statistical power for the analyses and decreased the likelihood of publication bias influencing the results. Sex-specific analyses explained apparent discrepancies across genetic studies of Ala147Thr and venous thrombosis. While, careful selection of genetic models based on population genetics, evolutionary and biological knowledge can increase power by decreasing the need to adjust for testing multiple models.

Supporting Indonesia's National Forest Monitoring System with LiDAR Observations

NASA Astrophysics Data System (ADS)

Hagen, S. C.

2015-12-01

Scientists at Applied GeoSolutions, Jet Propulsion Laboratory, Winrock International, and the University of New Hampshire are working with the government of Indonesia to enhance the National Forest Monitoring System in Kalimantan, Indonesia. The establishment of a reliable, transparent, and comprehensive NFMS has been limited by a dearth of relevant data that are accurate, low-cost, and spatially resolved at subnational scales. In this NASA funded project, we are developing, evaluating, and validating several critical components of a NFMS in Kalimantan, Indonesia, focusing on the use of LiDAR and radar imagery for improved carbon stock and forest degradation information. Applied GeoSolutions and the University of New Hampshire have developed an Open Source Software package to process large amounts LiDAR data quickly, easily, and accurately. The Open Source project is called lidar2dems and includes the classification of raw LAS point clouds and the creation of Digital Terrain Models (DTMs), Digital Surface Models (DSMs), and Canopy Height Models (CHMs). Preliminary estimates of forest structure and forest damage from logging from these data sets support the idea that comprehensive, well documented, freely available software for processing LiDAR data can enable countries such as Indonesia to cost effectively monitor their forests with high precision.

Comprehensive Longitudinal Study Challenges the Existence of Neonatal Imitation in Humans.

PubMed

Oostenbroek, Janine; Suddendorf, Thomas; Nielsen, Mark; Redshaw, Jonathan; Kennedy-Costantini, Siobhan; Davis, Jacqueline; Clark, Sally; Slaughter, Virginia

2016-05-23

Human children copy others' actions with high fidelity, supporting early cultural learning and assisting in the development and maintenance of behavioral traditions [1]. Imitation has long been assumed to occur from birth [2-4], with influential theories (e.g., [5-7]) placing an innate imitation module at the foundation of social cognition (potentially underpinned by a mirror neuron system [8, 9]). Yet, the very phenomenon of neonatal imitation has remained controversial. Empirical support is mixed and interpretations are varied [10-16], potentially because previous investigations have relied heavily on cross-sectional designs with relatively small samples and with limited controls [17, 18]. Here, we report surprising results from the most comprehensive longitudinal study of neonatal imitation to date. We presented infants (n = 106) with nine social and two non-social models and scored their responses at 1, 3, 6, and 9 weeks of age. Longitudinal analyses indicated that the infants did not imitate any of the models, as they were just as likely to produce the gestures in response to control models as they were to matching models. Previous positive findings were replicated in limited cross-sections of the data, but the overall analyses confirmed these findings to be mere artifacts of restricted comparison conditions. Our results undermine the idea of an innate imitation module and suggest that earlier studies reporting neonatal imitation were methodologically limited. Copyright © 2016 Elsevier Ltd. All rights reserved.

Stakeholder validation of a model of readiness for transition to adult care.

PubMed

Schwartz, Lisa A; Brumley, Lauren D; Tuchman, Lisa K; Barakat, Lamia P; Hobbie, Wendy L; Ginsberg, Jill P; Daniel, Lauren C; Kazak, Anne E; Bevans, Katherine; Deatrick, Janet A

2013-10-01

That too few youth with special health care needs make the transition to adult-oriented health care successfully may be due, in part, to lack of readiness to transfer care. There is a lack of theoretical models to guide development and implementation of evidence-based guidelines, assessments, and interventions to improve transition readiness. To further validate the Social-ecological Model of Adolescent and Young Adult Readiness to Transition (SMART) via feedback from stakeholders (patients, parents, and providers) from a medically diverse population in need of life-long follow-up care, survivors of childhood cancer. Mixed-methods participatory research design. A large Mid-Atlantic children's hospital. Adolescent and young adult survivors of childhood cancer (n = 14), parents (n = 18), and pediatric providers (n = 10). Patients and parents participated in focus groups; providers participated in individual semi-structured interviews. Validity of SMART was assessed 3 ways: (1) ratings on importance of SMART components for transition readiness using a 5-point scale (0-4; ratings >2 support validity), (2) nominations of 3 "most important" components, and (3) directed content analysis of focus group/interview transcripts. Qualitative data supported the validity of SMART, with minor modifications to definitions of components. Quantitative ratings met criteria for validity; stakeholders endorsed all components of SMART as important for transition. No additional SMART variables were suggested by stakeholders and the "most important" components varied by stakeholders, thus supporting the comprehensiveness of SMART and need to involve multiple perspectives. SMART represents a comprehensive and empirically validated framework for transition research and program planning, supported by survivors of childhood cancer, parents, and pediatric providers. Future research should validate SMART among other populations with special health care needs.

Permissiveness toward tobacco sponsorship undermines tobacco control support in Africa.

PubMed

Ayo-Yusuf, Olalekan A; Olutola, Bukola G; Agaku, Israel T

2016-06-01

School personnel, who are respected members of the community, may exert significant influence on policy adoption. This study assessed the impact of school personnel's permissiveness toward tobacco industry sponsorship activities on their support for complete bans on tobacco advertisements, comprehensive smoke-free laws and increased tobacco prices. Representative data were obtained from the Global School Personnel Survey for 29 African countries (n = 17 929). Adjusted prevalence ratios (aPR) were calculated using multi-variable Poisson regression models to assess the impact of permissiveness toward tobacco sponsorship activities on support for tobacco control policies (p < 0.05). The median of prevalence of support for different tobacco control policies among all countries was as follows: complete ban on tobacco advertisements (84.9%); comprehensive smoke-free laws (92.4%) and tobacco price increases (80.8%). School personnel who believed that the tobacco industry should be allowed to sponsor school events were significantly less likely to support complete bans on tobacco advertisements [aPR = 0.89; 95% confidence interval (CI) 0.84-0.95] and comprehensive smoke-free laws (aPR = 0.95; 95% CI 0.92-0.98). In contrast, support for complete tobacco advertisement bans was more likely among those who believed that the tobacco industry encourages youths to smoke (aPR = 1.27; 95% CI 1.17-1.37), and among those who taught about health sometimes (aPR = 1.06; 95% CI 1.01-1.11) or a lot (aPR = 1.05; 95% CI 1.01-1.10) compared with those who did not teach about health at all. These findings underscore the need to educate school personnel on tobacco industry's strategies to undermine tobacco control policies. This may help to build school personnel support for laws intended to reduce youth susceptibility, experimentation and established use of tobacco products. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Reading component skills in dyslexia: word recognition, comprehension and processing speed.

PubMed

de Oliveira, Darlene G; da Silva, Patrícia B; Dias, Natália M; Seabra, Alessandra G; Macedo, Elizeu C

2014-01-01

The cognitive model of reading comprehension (RC) posits that RC is a result of the interaction between decoding and linguistic comprehension. Recently, the notion of decoding skill was expanded to include word recognition. In addition, some studies suggest that other skills could be integrated into this model, like processing speed, and have consistently indicated that this skill influences and is an important predictor of the main components of the model, such as vocabulary for comprehension and phonological awareness of word recognition. The following study evaluated the components of the RC model and predictive skills in children and adolescents with dyslexia. 40 children and adolescents (8-13 years) were divided in a Dyslexic Group (DG; 18 children, MA = 10.78, SD = 1.66) and control group (CG 22 children, MA = 10.59, SD = 1.86). All were students from the 2nd to 8th grade of elementary school and groups were equivalent in school grade, age, gender, and IQ. Oral and RC, word recognition, processing speed, picture naming, receptive vocabulary, and phonological awareness were assessed. There were no group differences regarding the accuracy in oral and RC, phonological awareness, naming, and vocabulary scores. DG performed worse than the CG in word recognition (general score and orthographic confusion items) and were slower in naming. Results corroborated the literature regarding word recognition and processing speed deficits in dyslexia. However, dyslexics can achieve normal scores on RC test. Data supports the importance of delimitation of different reading strategies embedded in the word recognition component. The role of processing speed in reading problems remain unclear.

Cost-effectiveness of a comprehensive programme for drug-resistant tuberculosis in China.

PubMed

Fitzpatrick, Christopher; Hui, Zhang; Lixia, Wang; Renzhong, Li; Yunzhou, Ruan; Mingting, Chen; Yanlin, Zhao; Jin, Zhao; Wei, Su; Caihong, Xu; Cheng, Chen; Alston, Timothy; Yan, Qu; Chengfei, Lv; Yunting, Fu; Shitong, Huan; Qiang, Sun; Scano, Fabio; Chin, Daniel P; Floyd, Katherine

2015-11-01

To investigate the cost-effectiveness of a comprehensive programme for drug-resistant tuberculosis launched in four sites in China in 2011. In 2011-2012, we reviewed the records of 172 patients with drug-resistant tuberculosis who enrolled in the comprehensive programme and we collected relevant administrative data from hospitals and China's public health agency. For comparison, we examined a cohort of 81 patients who were treated for drug-resistant tuberculosis in 2006-2009. We performed a cost-effectiveness analysis, from a societal perspective, that included probabilistic uncertainty. We measured early treatment outcomes based on three-month culture results and modelled longer-term outcomes to facilitate estimation of the comprehensive programme's cost per disability-adjusted life-year (DALY) averted. The comprehensive programme cost 8837 United States dollars (US$) per patient treated. Low enrolment rates meant that some fixed costs were higher, per patient, than expected. Although the comprehensive programme appeared 30 times more costly than the previous one, it resulted in greater health benefits. The comprehensive programme, which cost US$ 639 (95% credible interval: 112 to 1322) per DALY averted, satisfied the World Health Organization's criterion for a very cost-effective intervention. The comprehensive programme, which included rapid screening, standardized care and financial protection, improved individual outcomes for MDR tuberculosis in a cost-effective manner. To support post-2015 global heath targets, the comprehensive programme should be expanded to non-residents and other areas of China.

How to use multi-criteria decision analysis methods for reimbursement decision-making in healthcare: a step-by-step guide.

PubMed

Diaby, Vakaramoko; Goeree, Ron

2014-02-01

In recent years, the quest for more comprehensiveness, structure and transparency in reimbursement decision-making in healthcare has prompted the research into alternative decision-making frameworks. In this environment, multi-criteria decision analysis (MCDA) is arising as a valuable tool to support healthcare decision-making. In this paper, we present the main MCDA decision support methods (elementary methods, value-based measurement models, goal programming models and outranking models) using a case study approach. For each family of methods, an example of how an MCDA model would operate in a real decision-making context is presented from a critical perspective, highlighting the parameters setting, the selection of the appropriate evaluation model as well as the role of sensitivity and robustness analyses. This study aims to provide a step-by-step guide on how to use MCDA methods for reimbursement decision-making in healthcare.

Numerical Modeling of Ablation Heat Transfer

NASA Technical Reports Server (NTRS)

Ewing, Mark E.; Laker, Travis S.; Walker, David T.

2013-01-01

A unique numerical method has been developed for solving one-dimensional ablation heat transfer problems. This paper provides a comprehensive description of the method, along with detailed derivations of the governing equations. This methodology supports solutions for traditional ablation modeling including such effects as heat transfer, material decomposition, pyrolysis gas permeation and heat exchange, and thermochemical surface erosion. The numerical scheme utilizes a control-volume approach with a variable grid to account for surface movement. This method directly supports implementation of nontraditional models such as material swelling and mechanical erosion, extending capabilities for modeling complex ablation phenomena. Verifications of the numerical implementation are provided using analytical solutions, code comparisons, and the method of manufactured solutions. These verifications are used to demonstrate solution accuracy and proper error convergence rates. A simple demonstration of a mechanical erosion (spallation) model is also provided to illustrate the unique capabilities of the method.

Bayesian Model Development for Analysis of Open Source Information to Support the Assessment of Nuclear Programs

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

Gastelum, Zoe N.; Whitney, Paul D.; White, Amanda M.

2013-07-15

Pacific Northwest National Laboratory has spent several years researching, developing, and validating large Bayesian network models to support integration of open source data sets for nuclear proliferation research. Our current work focuses on generating a set of interrelated models for multi-source assessment of nuclear programs, as opposed to a single comprehensive model. By using this approach, we can break down the models to cover logical sub-problems that can utilize different expertise and data sources. This approach allows researchers to utilize the models individually or in combination to detect and characterize a nuclear program and identify data gaps. The models operatemore » at various levels of granularity, covering a combination of state-level assessments with more detailed models of site or facility characteristics. This paper will describe the current open source-driven, nuclear nonproliferation models under development, the pros and cons of the analytical approach, and areas for additional research.« less

Modeling Trajectories and Transitions: Results from the New York University Caregiver Intervention

PubMed Central

Gaugler, Joseph; Roth, David L.; Haley, William E.; Mittelman, Mary S.

2011-01-01

Background Current research fails to capture the temporal dynamics of chronic disease in favor of cross-sectional snapshots of symptoms and outcomes. Objective To estimate the effects of comprehensive psychosocial support on trajectories of spouse caregivers’ well-being related to the nursing home placement transition. Method Data from the New York University Caregiver Intervention, a randomized controlled trial of a comprehensive support program for spouse caregivers of persons with Alzheimer’s disease, were utilized. A convenience sample of 406 spouse caregivers of community-dwelling persons with Alzheimer’s disease was enrolled over a 9.5-year time period in an Alzheimer’s disease research center in New York City. Outcome measures, including the Zarit Burden Inventory and Geriatric Depression Scale, were used to assess differential effects of nursing home placement and the Intervention on spouse caregivers. In-person interviews of spouse caregivers took place every 4 months during the first year of participation and every 6 months thereafter for up to 16 years; 385 caregivers provided sufficient follow-up data for all analyses. Results Longitudinal models found that wives were more likely than husbands to indicate reductions in burden in the months following placement in an institution. Wives also reported greater decreases in depressive symptoms after placement in an institution when compared to husbands. Discussion The inclusion of transitions and health trajectories in a randomized controlled trial offers an intriguing picture of how comprehensive psychosocial interventions can help families navigate the challenges of chronic disease care. The results also demonstrate how advances in nursing science can facilitate future research in the modeling of trajectories and transitions in the dementia care context. PMID:21543959

Support for Comprehensive Sexuality Education and Adolescent Access to Condoms and Contraception in South Carolina

ERIC Educational Resources Information Center

Kershner, Sarah H.; Corwin, Sara J.; Prince, Mary S.; Robillard, Alyssa G.; Oldendick, Robert W.

2017-01-01

A telephone survey was administered to residents of a historically conservative southern state to assess resident's level of support for comprehensive sexuality education (CSE) in schools and support for the availability of condoms and contraception to reduce unintended pregnancies and sexually transmitted infections. Data were obtained from 841…

Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China.

PubMed

Zhang, Lei; Zou, Zhihong; Shan, Wei

2017-06-01

Water quality forecasting is an essential part of water resource management. Spatiotemporal variations of water quality and their inherent constraints make it very complex. This study explored a data-based method for short-term water quality forecasting. Prediction of water quality indicators including dissolved oxygen, chemical oxygen demand by KMnO 4 and ammonia nitrogen using support vector machine was taken as inputs of the particle swarm algorithm based optimal wavelet neural network to forecast the whole status index of water quality. Gubeikou monitoring section of Miyun reservoir in Beijing, China was taken as the study case to examine effectiveness of this approach. The experiment results also revealed that the proposed model has advantages of stability and time reduction in comparison with other data-driven models including traditional BP neural network model, wavelet neural network model and Gradient Boosting Decision Tree model. It can be used as an effective approach to perform short-term comprehensive water quality prediction. Copyright © 2016. Published by Elsevier B.V.

Emerging models for mobilizing family support for chronic disease management: a structured review.

PubMed

Rosland, Ann-Marie; Piette, John D

2010-03-01

We identify recent models for programmes aiming to increase effective family support for chronic illness management and self-care among adult patients without significant physical or cognitive disabilities. We then summarize evidence regarding the efficacy for each model identified. Structured review of studies published in medical and psychology databases from 1990 to the present, reference review, general Web searches and conversations with family intervention experts. Review was limited to studies on conditions that require ongoing self-management, such as diabetes, chronic heart disease and rheumatologic disease. Programmes with three separate foci were identified: (1) Programmes that guide family members in setting goals for supporting patient self-care behaviours have led to improved implementation of family support roles, but have mixed success improving patient outcomes. (2) Programmes that train family in supportive communication techniques, such as prompting patient coping techniques or use of autonomy supportive statements, have successfully improved patient symptom management and health behaviours. (3) Programmes that give families tools and infrastructure to assist in monitoring clinical symptoms and medications are being conducted, with no evidence to date on their impact on patient outcomes. The next generation of programmes to improve family support for chronic disease management incorporate a variety of strategies. Future research can define optimal clinical situations for family support programmes, the most effective combinations of support strategies, and how best to integrate family support programmes into comprehensive models of chronic disease care.

Emerging Models for Mobilizing Family Support for Chronic Disease Management: A Structured Review

PubMed Central

Rosland, Ann-Marie; Piette, John D.

2015-01-01

Objectives We identify recent models for programs aiming to increase effective family support for chronic illness management and self-care among adult patients without significant physical or cognitive disabilities. We then summarize evidence regarding the efficacy for each model identified. Methods Structured review of studies published in medical and psychology databases from 1990 to the present, reference review, general Web searches, and conversations with family intervention experts. Review was limited to studies on conditions that require ongoing self-management, such as diabetes, chronic heart disease, and rheumatologic disease. Results Programs with three separate foci were identified: 1) Programs that guide family members in setting goals for supporting patient self-care behaviors have led to improved implementation of family support roles, but have mixed success improving patient outcomes. 2) Programs that train family in supportive communication techniques, such as prompting patient coping techniques or use of autonomy supportive statements, have successfully improved patient symptom management and health behaviors. 3) Programs that give families tools and infrastructure to assist in monitoring clinical symptoms and medications are being conducted, with no evidence to date on their impact on patient outcomes. Discussion The next generation of programs to improve family support for chronic disease management incorporate a variety of strategies. Future research can define optimal clinical situations for family support programs, the most effective combinations of support strategies, and how best to integrate family support programs into comprehensive models of chronic disease care. PMID:20308347

Mind wandering during film comprehension: The role of prior knowledge and situational interest.

PubMed

Kopp, Kristopher; Mills, Caitlin; D'Mello, Sidney

2016-06-01

This study assessed the occurrence and factors that influence mind wandering (MW) in the domain of film comprehension. The cascading model of inattention assumes that a stronger mental representation (i.e., a situation model) during comprehension results in less MW. Accordingly, a suppression hypothesis suggests that MW would decrease as a function of having the knowledge of the plot of a film prior to viewing, because the prior-knowledge would help to strengthen the situation model during comprehension. Furthermore, an interest-moderation hypothesis would predict that the suppression effect of prior-knowledge would only emerge when there was interest in viewing the film. In the current experiment, 108 participants either read a short story that depicted the plot (i.e., prior-knowledge condition) or read an unrelated story of equal length (control condition) prior to viewing the short film (32.5 minutes) entitled The Red Balloon. Participants self-reported their interest in viewing the film immediately before the film was presented. MW was tracked using a self-report method targeting instances of MW with metacognitive awareness. Participants in the prior-knowledge condition reported less MW compared with the control condition, thereby supporting the suppression hypothesis. MW also decreased over the duration of the film, but only for those with prior-knowledge of the film. Finally, prior-knowledge effects on MW were only observed when interest was average or high, but not when interest was low.

Bayesian updating in a fault tree model for shipwreck risk assessment.

PubMed

Landquist, H; Rosén, L; Lindhe, A; Norberg, T; Hassellöv, I-M

2017-07-15

Shipwrecks containing oil and other hazardous substances have been deteriorating on the seabeds of the world for many years and are threatening to pollute the marine environment. The status of the wrecks and the potential volume of harmful substances present in the wrecks are affected by a multitude of uncertainties. Each shipwreck poses a unique threat, the nature of which is determined by the structural status of the wreck and possible damage resulting from hazardous activities that could potentially cause a discharge. Decision support is required to ensure the efficiency of the prioritisation process and the allocation of resources required to carry out risk mitigation measures. Whilst risk assessments can provide the requisite decision support, comprehensive methods that take into account key uncertainties related to shipwrecks are limited. The aim of this paper was to develop a method for estimating the probability of discharge of hazardous substances from shipwrecks. The method is based on Bayesian updating of generic information on the hazards posed by different activities in the surroundings of the wreck, with information on site-specific and wreck-specific conditions in a fault tree model. Bayesian updating is performed using Monte Carlo simulations for estimating the probability of a discharge of hazardous substances and formal handling of intrinsic uncertainties. An example application involving two wrecks located off the Swedish coast is presented. Results show the estimated probability of opening, discharge and volume of the discharge for the two wrecks and illustrate the capability of the model to provide decision support. Together with consequence estimations of a discharge of hazardous substances, the suggested model enables comprehensive and probabilistic risk assessments of shipwrecks to be made. Copyright © 2017 Elsevier B.V. All rights reserved.

A community-based approach to the promotion of breastfeeding in Mexico.

PubMed

Rodriguez-Garcia, R; Aumack, K J; Ramos, A

1990-01-01

A comprehensive education strategy is presented that links training, community education, research, and mass-media efforts to enhance breastfeeding practices. Breastfeeding promotion models, an administrative system, and lessons learned during the project are described. The keys to effective breastfeeding promotion are shown to be accurate information; appropriate education, training, and follow-up; and a supportive administrative system.

How Many U.S. High School Students Have a Foreign Language Reading "Disability"? Reading without Meaning and the Simple View

ERIC Educational Resources Information Center

Sparks, Richard L.; Luebbers, Julie

2018-01-01

Conventional wisdom suggests that students classified as learning disabled will exhibit difficulties with foreign language (FL) learning, but evidence has not supported a relationship between FL learning problems and learning disabilities. The simple view of reading model posits that reading comprehension is the product of word decoding and…

Improving On-Task Behavior Using a Functional Assessment-Based Intervention in an Inclusive High School Setting

ERIC Educational Resources Information Center

Majeika, Caitlyn E.; Walder, Jessica P.; Hubbard, Jessica P.; Steeb, Kelly M.; Ferris, Geoffrey J.; Oakes, Wendy P.; Lane, Kathleen Lynne

2011-01-01

A comprehensive, integrated, three-tiered model (CI3T) of prevention is a framework for proactively meeting students' academic, behavioral, and social skills. At the tertiary (Tier 3) level of prevention, functional-assessment based interventions (FABIs) may be used to identify, develop, and implement supports based on the function, or purpose, of…

2-D and 3-D oscillating wing aerodynamics for a range of angles of attack including stall

NASA Technical Reports Server (NTRS)

Piziali, R. A.

1994-01-01

A comprehensive experimental investigation of the pressure distribution over a semispan wing undergoing pitching motions representative of a helicopter rotor blade was conducted. Testing the wing in the nonrotating condition isolates the three-dimensional (3-D) blade aerodynamic and dynamic stall characteristics from the complications of the rotor blade environment. The test has generated a very complete, detailed, and accurate body of data. These data include static and dynamic pressure distributions, surface flow visualizations, two-dimensional (2-D) airfoil data from the same model and installation, and important supporting blockage and wall pressure distributions. This body of data is sufficiently comprehensive and accurate that it can be used for the validation of rotor blade aerodynamic models over a broad range of the important parameters including 3-D dynamic stall. This data report presents all the cycle-averaged lift, drag, and pitching moment coefficient data versus angle of attack obtained from the instantaneous pressure data for the 3-D wing and the 2-D airfoil. Also presented are examples of the following: cycle-to-cycle variations occurring for incipient or lightly stalled conditions; 3-D surface flow visualizations; supporting blockage and wall pressure distributions; and underlying detailed pressure results.

Executive Dysfunction among Children with Reading Comprehension Deficits

ERIC Educational Resources Information Center

Locascio, Gianna; Mahone, E. Mark; Eason, Sarah H.; Cutting, Laurie E.

2010-01-01

Emerging research supports the contribution of executive function (EF) to reading comprehension; however, a unique pattern has not been established for children who demonstrate comprehension difficulties despite average word recognition ability (specific reading comprehension deficit; S-RCD). To identify particular EF components on which children…

Analysis of Advanced Rotorcraft Configurations

NASA Technical Reports Server (NTRS)

Johnson, Wayne

2000-01-01

Advanced rotorcraft configurations are being investigated with the objectives of identifying vehicles that are larger, quieter, and faster than current-generation rotorcraft. A large rotorcraft, carrying perhaps 150 passengers, could do much to alleviate airport capacity limitations, and a quiet rotorcraft is essential for community acceptance of the benefits of VTOL operations. A fast, long-range, long-endurance rotorcraft, notably the tilt-rotor configuration, will improve rotorcraft economics through productivity increases. A major part of the investigation of advanced rotorcraft configurations consists of conducting comprehensive analyses of vehicle behavior for the purpose of assessing vehicle potential and feasibility, as well as to establish the analytical models required to support the vehicle development. The analytical work of FY99 included applications to tilt-rotor aircraft. Tilt Rotor Aeroacoustic Model (TRAM) wind tunnel measurements are being compared with calculations performed by using the comprehensive analysis tool (Comprehensive Analytical Model of Rotorcraft Aerodynamics and Dynamics (CAMRAD 11)). The objective is to establish the wing and wake aerodynamic models that are required for tilt-rotor analysis and design. The TRAM test in the German-Dutch Wind Tunnel (DNW) produced extensive measurements. This is the first test to encompass air loads, performance, and structural load measurements on tilt rotors, as well as acoustic and flow visualization data. The correlation of measurements and calculations includes helicopter-mode operation (performance, air loads, and blade structural loads), hover (performance and air loads), and airplane-mode operation (performance).

Cognitive coupling during reading.

PubMed

Mills, Caitlin; Graesser, Art; Risko, Evan F; D'Mello, Sidney K

2017-06-01

We hypothesize that cognitively engaged readers dynamically adjust their reading times with respect to text complexity (i.e., reading times should increase for difficult sections and decrease for easier ones) and failure to do so should impair comprehension. This hypothesis is consistent with theories of text comprehension but has surprisingly been untested. We tested this hypothesis by analyzing 4 datasets in which participants (N = 484) read expository texts using a self-paced reading paradigm. Participants self-reported mind wandering in response to pseudorandom thought-probes during reading and completed comprehension assessments after reading. We computed two measures of cognitive coupling by regressing each participant's paragraph-level reading times on two measures of text complexity: Flesch-Kincaid Grade Level and Word Concreteness scores. The two coupling measures yielded convergent findings: coupling was a negative predictor of mind wandering and a positive predictor of both text- and inference-level comprehension. Goodness-of-fit, measured with Akaike information criterion, also improved after adding coupling to the reading-time only models. Furthermore, cognitive coupling mediated the relationship between mind wandering and comprehension, supporting the hypothesis that mind wandering engenders a decoupling of attention from external stimuli. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Mental health promotion in comprehensive schools.

PubMed

Onnela, A M; Vuokila-Oikkonen, P; Hurtig, T; Ebeling, H

2014-09-01

The purpose of this paper is to describe a participatory action research process on the development of a professional practice model of mental health nurses in mental health promotion in a comprehensive school environment in the city of Oulu, Finland. The developed model is a new method of mental health promotion for mental health nurses working in comprehensive schools. The professional practice model has been developed in workshops together with school staff, interest groups, parents and students. Information gathered from the workshops was analysed using action research methods. Mental health promotion interventions are delivered at three levels: universal, which is an intervention that affects the whole school or community; selective, which is an intervention focusing on a certain group of students; and indicated, which is an individually focused intervention. All interventions are delivered within the school setting, which is a universal setting for all school-aged children. The interventions share the goal of promoting mental health. The purposes of the interventions are enhancing protective factors, reducing risk factors relating to mental health problems and early identification of mental health problems as well as rapid delivery of support or referral to specialized services. The common effect of the interventions on all levels is the increase in the experience of positive mental health. © 2014 John Wiley & Sons Ltd.

California parents' preferences and beliefs regarding school-based sex education policy.

PubMed

Constantine, Norman A; Jerman, Petra; Huang, Alice X

2007-09-01

Policy debates over the merits of abstinence-only versus comprehensive approaches to sex education are ongoing, despite well-documented public support for comprehensive sex education. Although parents are key stakeholders in the outcomes of these debates, their views have been less thoroughly considered. A random digit dial survey of 1,284 California parents was conducted in 2006. Parents were asked about their sex education policy preferences, the importance of teaching selected topics at different grade levels and reasons for their preferences. Cross-tabulations and odds ratios were used to assess regional and other subgroup differences. Overall, 89% of parents reported a preference for comprehensive sex education, and 11% for abstinence-only education. Support for comprehensive sex education was high in all regions (87-93%) and across all subgroup characteristics: race or ethnicity (79-92%), age (86-94%), education (84-93%), household income (87-92%), religious affiliation (86-91%), religious service attendance (69-96%) and ideological leaning (71-96%). Four types of reasons for preferences emerged: those focused on the consequences of actions, on the importance of providing complete information, on the inevitability of adolescents' engaging in sex and on religious or purity-based morality concerns. While 64% of abstinence-only supporters cited the last type (absolutist reasons), 94% of comprehensive sex education supporters cited one of the first three (pragmatic reasons). The high levels of support for comprehensive sex education across California's diverse regions and demographic subgroups suggest that such support may be generalizable to communities and school districts both in California and around the country. Furthermore, ideological differences might be less important to the sex education debates than the distinction between pragmatic and absolutist perspectives.

Interruptions disrupt reading comprehension.

PubMed

Foroughi, Cyrus K; Werner, Nicole E; Barragán, Daniela; Boehm-Davis, Deborah A

2015-06-01

Previous research suggests that being interrupted while reading a text does not disrupt the later recognition or recall of information from that text. This research is used as support for Ericsson and Kintsch's (1995) long-term working memory (LT-WM) theory, which posits that disruptions while reading (e.g., interruptions) do not impair subsequent text comprehension. However, to fully comprehend a text, individuals may need to do more than recognize or recall information that has been presented in the text at a later time. Reading comprehension often requires individuals to connect and synthesize information across a text (e.g., successfully identifying complex topics such as themes and tones) and not just make a familiarity-based decision (i.e., recognition). The goal for this study was to determine whether interruptions while reading disrupt reading comprehension when the questions assessing comprehension require participants to connect and synthesize information across the passage. In Experiment 1, interruptions disrupted reading comprehension. In Experiment 2, interruptions disrupted reading comprehension but not recognition of information from the text. In Experiment 3, the addition of a 15-s time-out prior to the interruption successfully removed these negative effects. These data suggest that the time it takes to process the information needed to successfully comprehend text when reading is greater than that required for recognition. Any interference (e.g., an interruption) that occurs during the comprehension process may disrupt reading comprehension. This evidence supports the need for transient activation of information in working memory for successful text comprehension and does not support LT-WM theory. (c) 2015 APA, all rights reserved).

A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis.

PubMed

Tervonen, Tommi; van Valkenhoef, Gert; Buskens, Erik; Hillege, Hans L; Postmus, Douwe

2011-05-30

Drug benefit-risk (BR) analysis is based on firm clinical evidence regarding various safety and efficacy outcomes. In this paper, we propose a new and more formal approach for constructing a supporting multi-criteria model that fully takes into account the evidence on efficacy and adverse drug reactions. Our approach is based on the stochastic multi-criteria acceptability analysis methodology, which allows us to compute the typical value judgments that support a decision, to quantify decision uncertainty, and to compute a comprehensive BR profile. We construct a multi-criteria model for the therapeutic group of second-generation antidepressants. We assess fluoxetine and venlafaxine together with placebo according to incidence of treatment response and three common adverse drug reactions by using data from a published study. Our model shows that there are clear trade-offs among the treatment alternatives. Copyright © 2011 John Wiley & Sons, Ltd.

The GENIE Neutrino Monte Carlo Generator: Physics and User Manual

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

Andreopoulos, Costas; Barry, Christopher; Dytman, Steve

2015-10-20

GENIE is a suite of products for the experimental neutrino physics community. This suite includes i) a modern software framework for implementing neutrino event generators, a state-of-the-art comprehensive physics model and tools to support neutrino interaction simulation for realistic experimental setups (the Generator product), ii) extensive archives of neutrino, charged-lepton and hadron scattering data and software to produce a comprehensive set of data/MC comparisons (the Comparisons product), and iii) a generator tuning framework and fitting applications (the Tuning product). This book provides the definite guide for the GENIE Generator: It presents the software architecture and a detailed description of itsmore » physics model and official tunes. In addition, it provides a rich set of data/MC comparisons that characterise the physics performance of GENIE. Detailed step-by-step instructions on how to install and configure the Generator, run its applications and analyze its outputs are also included.« less

Identification and Analysis of Critical Gaps in Nuclear Fuel Cycle Codes Required by the SINEMA Program

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

Adrian Miron; Joshua Valentine; John Christenson

2009-10-01

The current state of the art in nuclear fuel cycle (NFC) modeling is an eclectic mixture of codes with various levels of applicability, flexibility, and availability. In support of the advanced fuel cycle systems analyses, especially those by the Advanced Fuel Cycle Initiative (AFCI), Unviery of Cincinnati in collaboration with Idaho State University carried out a detailed review of the existing codes describing various aspects of the nuclear fuel cycle and identified the research and development needs required for a comprehensive model of the global nuclear energy infrastructure and the associated nuclear fuel cycles. Relevant information obtained on the NFCmore » codes was compiled into a relational database that allows easy access to various codes' properties. Additionally, the research analyzed the gaps in the NFC computer codes with respect to their potential integration into programs that perform comprehensive NFC analysis.« less

Primary care providers and medical homes for individuals with spina bifida.

PubMed

Walker, William O

2008-01-01

The contributions of primary care providers to the successful care of children with spina bifida cannot be underestimated. Overcoming systemic barriers to their integration into a comprehensive care system is essential. By providing routine and disability specific care through the structure of a Medical Home, they are often the first line resource and support for individuals and their families. The Medical Home model encourages primary care providers to facilitate discussions on topics as varied as education and employment. Knowledge of specific medical issues unique to this population allows the primary care provider to complement the efforts of other specialty clinics and providers in often neglected areas such as sexual health, obesity and latex sensitization. As individuals with spina bifida live into adulthood, and access to traditional multidisciplinary care models evolves, these skills will take on increasing importance within the scope of providing comprehensive and coordinated care.

Nasal tip support: A finite element analysis of the role of the caudal septum during tip depression

PubMed Central

Manuel, Cyrus T.; Leary, Ryan; Protsenko, Dmitriy E.; Wong, Brian J.F.

2014-01-01

Objective/Hypothesis Although minor and major tip support mechanisms have been described in detail, no quantitative models exist to provide support for the relative contributions of the structural properties of the major alar cartilage, the fibrous attachments to surrounding structures, and the rigid support structures in an objective manner. Study Design The finite element method was used to compute the stress distribution in the nose during simple tip compression, and then identify the specific anatomic structures that resist deformation and thus contribute to “tip support”. Additionally, the impact of caudal septal resection on nasal tip support was examined. Method The computer models consisted of three tissue components with anatomically correct geometries for skin and bone derived from CT data. Septum, upper lateral cartilages, and major alar cartilages were fitted within the model using 3D CAD software. 5mm nasal tip compression was performed on the models with caudal septal resection (3mm and 5 mm) and without resection to simulate palpation, then the resulting spatial distribution of stress and displacement was calculated. Results The von Mises stress in the normal model was primarily concentrated along medial crural angle. As caudal septum length was reduced, stress was redistributed to adjacent soft tissue and bone, resulting in less force acting on the septum. In all models, displacement was greatest near the intermediate crura. Conclusions These models are the first step in the comprehensive mechanical analysis of nasal tip dynamics. Our model supports the concept of the caudal septum and major alar cartilage as providing the majority of critical load-bearing support. Level of Evidence N/A PMID:23878007

Executive Function and Reading Comprehension: A Meta-Analytic Review

ERIC Educational Resources Information Center

Follmer, D. Jake

2018-01-01

This article presents a meta-analytic review of the relation between executive function and reading comprehension. Results (N = 6,673) supported a moderate positive association between executive function and reading comprehension (r = 0.36). Moderator analyses suggested that correlations between executive function and reading comprehension did not…

Classroom Talk for Rigorous Reading Comprehension Instruction

ERIC Educational Resources Information Center

Wolf, Mikyung Kim; Crosson, Amy C.; Resnick, Lauren B.

2004-01-01

This study examined the quality of classroom talk and its relation to academic rigor in reading-comprehension lessons. Additionally, the study aimed to characterize effective questions to support rigorous reading comprehension lessons. The data for this study included 21 reading-comprehension lessons in several elementary and middle schools from…

A Case Study Examining How School Leaders Support Schoolwide Implementation of Problem-Based Learning in a Comprehensive Public High School

ERIC Educational Resources Information Center

Callison, Matthew

2017-01-01

A critical step in addressing a call for schools to use curricula such as problem-based learning (PBL) is developing an understanding of how school leaders can support its implementation. The purpose of this study was to examine ways school leaders at a comprehensive, public high school provided supports to teachers as they implemented this…

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

Aurich, Maike K.; Fleming, Ronan M. T.; Thiele, Ines

Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Previous work, by us and others, revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic model using constraint-based modeling. With the MetaboTools, we make our methods available to the broader scientific community. The MetaboTools consist of a protocol, a toolbox, and tutorials of two use cases. The protocol describes, in a step-wise manner, the workflow of data integration, and computational analysis. The MetaboTools comprise the Matlab code required to complete the workflow described in the protocol. Tutorialsmore » explain the computational steps for integration of two different data sets and demonstrate a comprehensive set of methods for the computational analysis of metabolic models and stratification thereof into different phenotypes. The presented workflow supports integrative analysis of multiple omics data sets. Importantly, all analysis tools can be applied to metabolic models without performing the entire workflow. Taken together, the MetaboTools constitute a comprehensive guide to the intra-model analysis of extracellular metabolomic data from microbial, plant, or human cells. In conclusion, this computational modeling resource offers a broad set of computational analysis tools for a wide biomedical and non-biomedical research community.« less

Increasing radiology capacity within the lung cancer pathway: centralised work-based support for trainee chest X-ray reporting radiographers.

PubMed

Woznitza, Nick; Steele, Rebecca; Piper, Keith; Burke, Stephen; Rowe, Susan; Bhowmik, Angshu; Maughn, Sue; Springett, Kate

2018-05-27

Diagnostic capacity and time to diagnosis are frequently identified as a barrier to improving cancer patient outcomes. Maximising the contribution of the medical imaging workforce, including reporting radiographers, is one way to improve service delivery. An efficient and effective centralised model of workplace training support was designed for a cohort of trainee chest X-ray (CXR) reporting radiographers. A comprehensive schedule of tutorials was planned and aligned with the curriculum of a post-graduate certificate in CXR reporting. Trainees were supported via a hub and spoke model (centralised training model), with the majority of education provided by a core group of experienced CXR reporting radiographers. Trainee and departmental feedback on the model was obtained using an online survey. Fourteen trainees were recruited from eight National Health Service Trusts across London. Significant efficiencies of scale were possible with centralised support (48 h) compared to traditional workplace support (348 h). Trainee and manager feedback overall was positive. Trainees and managers both reported good trainee support, translation of learning to practice and increased confidence. Logistics, including trainee travel and release, were identified as areas for improvement. Centralised workplace training support is an effective and efficient method to create sustainable diagnostic capacity and support improvements in the lung cancer pathway. © 2018 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Development of a Comprehensive Programme to Prevent and Reduce the Negative Impact of Railway Fatalities, Injuries and Close Calls on Railway Employees.

PubMed

Bardon, Cécile; Mishara, Brian L

2015-09-01

This article presents a strategy to prevent trauma, support and care for railway personnel who experience critical incidents (CI) on the job, usually fatalities by accident or suicide. We reviewed all publications on CI management, support and care practices in the railway industry, as well as practices in place in Canada (unpublished protocols). Semi structured interviews were conducted with 40 train engineers and conductors involved in CIs and the content was coded and analysed quantitatively. Employees' satisfaction with the help received after the incident varies according to the behaviour of the local manager, company officers and police, the level of compliance with existing company protocols to help them, the presence of unmet expectations for support and care, their perceived competency of clinicians they consulted and the level of trust toward their employers. On the basis of the interview results, the review of existing railway practices and discussions with railway stakeholders, a model protocol was developed for a comprehensive workplace prevention, support and care protocol to reduce the negative impact of railway critical incidents on employees. This protocol includes preventive actions before traumatic events occur, immediate responses at the site of incident, interventions within the first few days after the incident and longer term support and interventions provided by the company and by outsourced experts.

Evaluating Sustainability Models for Interoperability through Brokering Software

NASA Astrophysics Data System (ADS)

Pearlman, Jay; Benedict, Karl; Best, Mairi; Fyfe, Sue; Jacobs, Cliff; Michener, William; Nativi, Stefano; Powers, Lindsay; Turner, Andrew

2016-04-01

Sustainability of software and research support systems is an element of innovation that is not often discussed. Yet, sustainment is essential if we expect research communities to make the time investment to learn and adopt new technologies. As the Research Data Alliance (RDA) is developing new approaches to interoperability, the question of uptake and sustainability is important. Brokering software sustainability is one of the areas that is being addressed in RDA. The Business Models Team of the Research Data Alliance Brokering Governance Working Group examined several support models proposed to promote the long-term sustainability of brokering middleware. The business model analysis includes examination of funding source, implementation frameworks and challenges, and policy and legal considerations. Results of this comprehensive analysis highlight advantages and disadvantages of the various models with respect to the specific requirements for brokering services. We offer recommendations based on the outcomes of this analysis that suggest that hybrid funding models present the most likely avenue to long term sustainability.

Friendship networks of inner-city adults: a latent class analysis and multi-level regression of supporter types and the association of supporter latent class membership with supporter and recipient drug use.

PubMed

Bohnert, Amy S B; German, Danielle; Knowlton, Amy R; Latkin, Carl A

2010-03-01

Social support is a multi-dimensional construct that is important to drug use cessation. The present study identified types of supportive friends among the social network members in a community-based sample and examined the relationship of supporter-type classes with supporter, recipient, and supporter-recipient relationship characteristics. We hypothesized that the most supportive network members and their support recipients would be less likely to be current heroin/cocaine users. Participants (n=1453) were recruited from low-income neighborhoods with a high prevalence of drug use. Participants identified their friends via a network inventory, and all nominated friends were included in a latent class analysis and grouped based on their probability of providing seven types of support. These latent classes were included as the dependent variable in a multi-level regression of supporter drug use, recipient drug use, and other characteristics. The best-fitting latent class model identified five support patterns: friends who provided Little/No Support, Low/Moderate Support, High Support, Socialization Support, and Financial Support. In bivariate models, friends in the High, Low/Moderate, and Financial Support were less likely to use heroin or cocaine and had less conflict with and were more trusted by the support recipient than friends in the Low/No Support class. Individuals with supporters in those same support classes compared to the Low/No Support class were less likely to use heroin or cocaine, or to be homeless or female. Multivariable models suggested similar trends. Those with current heroin/cocaine use were less likely to provide or receive comprehensive support from friends. Published by Elsevier Ireland Ltd.

Short Term Memory, Working Memory, and Syntactic Comprehension in Aphasia

PubMed Central

Caplan, David; Michaud, Jennifer; Hufford, Rebecca

2013-01-01

Sixty one people with aphasia were tested on ten tests of short term memory (STM) and for the ability to use syntactic structure to determine the meanings of eleven types of sentences in three tasks – object manipulation, picture matching and picture matching with self-paced listening. Multilevel models showed relationships between measures of the ability to retain and manipulate item and order information in STM and accuracy and RT, and a greater relationship between these STM measures and accuracy and RT for several more complex sentence types in individual tasks. There were no effects of measures of STM that reflect the use of phonological codes or rehearsal on comprehension. There was only one effect of STM measures on self-paced listening times. There were double dissociations between performance on STM and individual comprehension tasks, indicating that normal STM is not necessary to perform normally on these tasks. The results are most easily related to the view that STM plays a facilitatory role in supporting the use of the products of the comprehension process to accomplish operations related to tasks. PMID:23865692

Physical activity promotion in business and industry: evidence, context, and recommendations for a national plan.

PubMed

Pronk, Nicolaas P

2009-11-01

The contemporary workplace setting is in need of interventions that effectively promote higher levels of occupational and habitual physical activity. It is the purpose of this paper to outline an evidence-based approach to promote physical activity in the business and industry sector in support of a National Physical Activity Plan. Comprehensive literature searches identified systematic reviews, comprehensive reviews, and consensus documents on the impact of physical activity interventions in the business and industry sector. A framework for action and priority recommendations for practice and research were generated. Comprehensive, multicomponent work-site programs that include physical activity components generate significant improvements in health, reduce absenteeism and sick leave, and can generate a positive financial return. Specific evidence-based physical activity interventions are presented. Recommendations for practice include implementing comprehensive, multicomponent programs that make physical activity interventions possible, simple, rewarding and relevant in the context of a social-ecological model. The business and industry sector has significant opportunities to improve physical activity among employees, their dependents, and the community at-large and to reap important benefits related to worker health and business performance.

Physical Activity Promotion in Business and Industry: Evidence, Context, and Recommendations for a National Plan.

PubMed

Pronk, Nicolaas P

2009-11-01

The contemporary workplace setting is in need of interventions that effectively promote higher levels of occupational and habitual physical activity. It is the purpose of this paper to outline an evidence-based approach to promote physical activity in the business and industry sector in support of a National Physical Activity Plan. Comprehensive literature searches identified systematic reviews, comprehensive reviews, and consensus documents on the impact of physical activity interventions in the business and industry sector. A framework for action and priority recommendations for practice and research were generated. Comprehensive, multicomponent worksite programs that include physical activity components generate significant improvements in health, reduce absenteeism and sick leave, and can generate a positive financial return. Specific evidence-based physical activity interventions are presented. Recommendations for practice include implementing comprehensive, multicomponent programs that make physical activity interventions possible, simple, rewarding and relevant in the context of a social-ecological model. The business and industry sector has significant opportunities to improve physical activity among employees, their dependents, and the community at-large and to reap important benefits related to worker health and business performance.

Does workplace health promotion contribute to job stress reduction? Three-year findings from Partnering Healthy@Work.

PubMed

Jarman, Lisa; Martin, Angela; Venn, Alison; Otahal, Petr; Sanderson, Kristy

2015-12-24

Workplace health promotion (WHP) has been proposed as a preventive intervention for job stress, possibly operating by promoting positive organizational culture or via programs promoting healthy lifestyles. The aim of this study was to investigate whether job stress changed over time in association with the availability of, and/or participation in a comprehensive WHP program (Healthy@Work). This observational study was conducted in a diverse public sector organization (~28,000 employees). Using a repeated cross-sectional design with models corroborated using a cohort of repeat responders, self-report survey data were collected via a 40 % employee population random sample in 2010 (N = 3406) and 2013 (N = 3228). Outcomes assessed were effort and reward (self-esteem) components of the effort-reward imbalance (ERI) measure of job stress. Exposures were availability of, and participation in, comprehensive WHP. Linear mixed models and Poisson regression were used, with analyses stratified by sex and weighted for non-response. Higher WHP availability was positively associated with higher perceived self-esteem among women. Women's mean reward scores increased over time but were not statistically different (p > 0.05) after 3 years. For men, higher WHP participation was associated with lower perceived effort. Men's mean ERI increased over time. Results were supported in the cohort group. For women, comprehensive WHP availability contributed to a sense of organizational support, potentially impacting the esteem component of reward. Men with higher WHP participation also benefitted but gains were modest over time and may have been hindered by other work environment factors.

An integrated multiscale river basin observing system in the Heihe River Basin, northwest China

NASA Astrophysics Data System (ADS)

Li, X.; Liu, S.; Xiao, Q.; Ma, M.; Jin, R.; Che, T.

2015-12-01

Using the watershed as the unit to establish an integrated watershed observing system has been an important trend in integrated eco-hydrologic studies in the past ten years. Thus far, a relatively comprehensive watershed observing system has been established in the Heihe River Basin, northwest China. In addition, two comprehensive remote sensing hydrology experiments have been conducted sequentially in the Heihe River Basin, including the Watershed Allied Telemetry Experimental Research (WATER) (2007-2010) and the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) (2012-2015). Among these two experiments, an important result of WATER has been the generation of some multi-scale, high-quality comprehensive datasets, which have greatly supported the development, improvement and validation of a series of ecological, hydrological and quantitative remote-sensing models. The goal of a breakthrough for solving the "data bottleneck" problem has been achieved. HiWATER was initiated in 2012. This project has established a world-class hydrological and meteorological observation network, a flux measurement matrix and an eco-hydrological wireless sensor network. A set of super high-resolution airborne remote-sensing data has also been obtained. In addition, there has been important progress with regard to the scaling research. Furthermore, the automatic acquisition, transmission, quality control and remote control of the observational data has been realized through the use of wireless sensor network technology. The observation and information systems have been highly integrated, which will provide a solid foundation for establishing a research platform that integrates observation, data management, model simulation, scenario analysis and decision-making support to foster 21st-century watershed science in China.

Identifying and tracking attacks on networks: C3I displays and related technologies

NASA Astrophysics Data System (ADS)

Manes, Gavin W.; Dawkins, J.; Shenoi, Sujeet; Hale, John C.

2003-09-01

Converged network security is extremely challenging for several reasons; expanded system and technology perimeters, unexpected feature interaction, and complex interfaces all conspire to provide hackers with greater opportunities for compromising large networks. Preventive security services and architectures are essential, but in and of themselves do not eliminate all threat of compromise. Attack management systems mitigate this residual risk by facilitating incident detection, analysis and response. There are a wealth of attack detection and response tools for IP networks, but a dearth of such tools for wireless and public telephone networks. Moreover, methodologies and formalisms have yet to be identified that can yield a common model for vulnerabilities and attacks in converged networks. A comprehensive attack management system must coordinate detection tools for converged networks, derive fully-integrated attack and network models, perform vulnerability and multi-stage attack analysis, support large-scale attack visualization, and orchestrate strategic responses to cyber attacks that cross network boundaries. We present an architecture that embodies these principles for attack management. The attack management system described engages a suite of detection tools for various networking domains, feeding real-time attack data to a comprehensive modeling, analysis and visualization subsystem. The resulting early warning system not only provides network administrators with a heads-up cockpit display of their entire network, it also supports guided response and predictive capabilities for multi-stage attacks in converged networks.

Comprehensive, Quantitative Risk Assessment of CO{sub 2} Geologic Sequestration

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

Lepinski, James

2013-09-30

A Quantitative Failure Modes and Effects Analysis (QFMEA) was developed to conduct comprehensive, quantitative risk assessments on CO{sub 2} capture, transportation, and sequestration or use in deep saline aquifers, enhanced oil recovery operations, or enhanced coal bed methane operations. The model identifies and characterizes potential risks; identifies the likely failure modes, causes, effects and methods of detection; lists possible risk prevention and risk mitigation steps; estimates potential damage recovery costs, mitigation costs and costs savings resulting from mitigation; and ranks (prioritizes) risks according to the probability of failure, the severity of failure, the difficulty of early failure detection and themore » potential for fatalities. The QFMEA model generates the necessary information needed for effective project risk management. Diverse project information can be integrated into a concise, common format that allows comprehensive, quantitative analysis, by a cross-functional team of experts, to determine: What can possibly go wrong? How much will damage recovery cost? How can it be prevented or mitigated? What is the cost savings or benefit of prevention or mitigation? Which risks should be given highest priority for resolution? The QFMEA model can be tailored to specific projects and is applicable to new projects as well as mature projects. The model can be revised and updated as new information comes available. It accepts input from multiple sources, such as literature searches, site characterization, field data, computer simulations, analogues, process influence diagrams, probability density functions, financial analysis models, cost factors, and heuristic best practices manuals, and converts the information into a standardized format in an Excel spreadsheet. Process influence diagrams, geologic models, financial models, cost factors and an insurance schedule were developed to support the QFMEA model. Comprehensive, quantitative risk assessments were conducted on three (3) sites using the QFMEA model: (1) SACROC Northern Platform CO{sub 2}-EOR Site in the Permian Basin, Scurry County, TX, (2) Pump Canyon CO{sub 2}-ECBM Site in the San Juan Basin, San Juan County, NM, and (3) Farnsworth Unit CO{sub 2}-EOR Site in the Anadarko Basin, Ochiltree County, TX. The sites were sufficiently different from each other to test the robustness of the QFMEA model.« less

Maximizing your Process Improvement ROI through Harmonization

DTIC Science & Technology

2008-03-01

ISO 12207 ) provide comprehensive guidance on what system and software engineering processes are needed. The frameworks of Six Sigma provide specific...reductions. Their veloci-Q Enterprise integrated system, includes ISO 9001, CMM, P-CMM, TL9000, British Standard 7799, and Six Sigma. They estimate a 30...at their discretion. And, they chose to blend process maturity models and ISO standards to support their objective regarding the establishment of

The Platinum Bullet: An Experimental Evaluation of CUNY's Accelerated Study in Associate Program (ASAP)--New Three-Year Impacts, Cost Analyses, and Implementation Findings

ERIC Educational Resources Information Center

Weiss, Michael; Scrivener, Susan; Fresques, Hannah; Ratledge, Alyssa; Rudd, Tim; Sommo, Colleen

2014-01-01

The City University of New York's (CUNY's) Accelerated Study in Associate Programs (ASAP) combines many of the ideas from a range of programs into a comprehensive model that requires students to attend school full-time, and provides supports and incentives for three years. ASAP's financial aid reforms, enhanced student services, and scheduling…

A Report on Army Science Planning and Strategy 2016

DTIC Science & Technology

2017-06-01

Army Research Laboratory (ARL) hosted a series of meetings in fall 2016 to develop a strategic vision for Army Science. Meeting topics were vetted...reduce maturation time . • Support internal Army research efforts to enhance Army investments in multiscale modeling to accelerate the rate of...requirement are research needs including cross-modal approaches to enabling real- time human comprehension under constraints of bandwidth, information

Fostering the Development of Critical Thinking Skills, and Reading Comprehension of Undergraduates Using a Web 2.0 Tool Coupled with a Learning System

ERIC Educational Resources Information Center

Mendenhall, Anne; Johnson, Tristan E.

2010-01-01

A social annotation model learning system (SAM-LS) was created using multiple instructional strategies thereby supporting the student in improving in critical thinking, critical writing and related literacy. There are four mechanisms in which the SAM-LS methodology is believed to improve learning and performance. These mechanisms include providing…

Psychometric Features of the General Aptitude Test-Verbal Part (GAT-V): A Large-Scale Assessment of High School Graduates in Saudi Arabia

ERIC Educational Resources Information Center

Dimitrov, Dimiter M.; Shamrani, Abdul Rahman

2015-01-01

This study examines the psychometric features of a General Aptitude Test-Verbal Part, which is used with assessments of high school graduates in Saudi Arabia. The data supported a bifactor model, with one general factor and three content domains (Analogy, Sentence Completion, and Reading Comprehension) as latent aspects of verbal aptitude.

2008 Maneuver Support Science and Technology Conference and Exhibition

DTIC Science & Technology

2008-07-30

Web Boeing 707 Civilian Nuclear PowerHyman G. Rickover KC-135 Nautilus SSN 571 ~ 1954 ~ 1955 1960’s DDG 1000 “Electric Navy” AMSC - 50,000 SHP ...Systems Integration? “The Project Manager shall have a comprehensive plan for HSI in place early in the acquisition process to optimize...Applications research for specific military problems • Components, subsystems, models, new concepts • Understanding to solve

The Wernicke area

PubMed Central

2015-01-01

The term “Wernicke's area” is most often used as an anatomical label for the gyri forming the lower posterior left sylvian fissure. Although traditionally this region was held to support language comprehension, modern imaging and neuropsychological studies converge on the conclusion that this region plays a much larger role in speech production. This evidence is briefly reviewed, and a simple schematic model of posterior cortical language processing is described. PMID:26567270

Integration of the Response Surface Methodology with the Compromise Decision Support Problem in Developing a General Robust Design Procedure

NASA Technical Reports Server (NTRS)

Chen, Wei; Tsui, Kwok-Leung; Allen, Janet K.; Mistree, Farrokh

1994-01-01

In this paper we introduce a comprehensive and rigorous robust design procedure to overcome some limitations of the current approaches. A comprehensive approach is general enough to model the two major types of robust design applications, namely, robust design associated with the minimization of the deviation of performance caused by the deviation of noise factors (uncontrollable parameters), and robust design due to the minimization of the deviation of performance caused by the deviation of control factors (design variables). We achieve mathematical rigor by using, as a foundation, principles from the design of experiments and optimization. Specifically, we integrate the Response Surface Method (RSM) with the compromise Decision Support Problem (DSP). Our approach is especially useful for design problems where there are no closed-form solutions and system performance is computationally expensive to evaluate. The design of a solar powered irrigation system is used as an example. Our focus in this paper is on illustrating our approach rather than on the results per se.

BIM based virtual environment for fire emergency evacuation.

PubMed

Wang, Bin; Li, Haijiang; Rezgui, Yacine; Bradley, Alex; Ong, Hoang N

2014-01-01

Recent building emergency management research has highlighted the need for the effective utilization of dynamically changing building information. BIM (building information modelling) can play a significant role in this process due to its comprehensive and standardized data format and integrated process. This paper introduces a BIM based virtual environment supported by virtual reality (VR) and a serious game engine to address several key issues for building emergency management, for example, timely two-way information updating and better emergency awareness training. The focus of this paper lies on how to utilize BIM as a comprehensive building information provider to work with virtual reality technologies to build an adaptable immersive serious game environment to provide real-time fire evacuation guidance. The innovation lies on the seamless integration between BIM and a serious game based virtual reality (VR) environment aiming at practical problem solving by leveraging state-of-the-art computing technologies. The system has been tested for its robustness and functionality against the development requirements, and the results showed promising potential to support more effective emergency management.

Social network supported process recommender system.

PubMed

Ye, Yanming; Yin, Jianwei; Xu, Yueshen

2014-01-01

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

Comprehensive treatments for social cognitive deficits in schizophrenia: A critical review and effect-size analysis of controlled studies.

PubMed

Kurtz, Matthew M; Gagen, Emily; Rocha, Nuno B F; Machado, Sergio; Penn, David L

2016-02-01

Recent advances in psychosocial treatments for schizophrenia have targeted social cognitive deficits. A critical literature review and effect-size (ES) analysis was conducted to investigate the efficacy of comprehensive programs of social cognitive training in schizophrenia. Results revealed 16 controlled studies consisting of seven models of comprehensive treatment with only three of these treatment models investigated in more than one study. The effects of social cognitive training were reported in 11/15 studies that included facial affect recognition skills (ES=.84) and 10/13 studies that included theory-of-mind (ES=.70) as outcomes. Less than half (4/9) of studies that measured attributional style as an outcome reported effects of treatment, but effect sizes across studies were significant (ESs=.30-.52). The effect sizes for symptoms were modest, but, with the exception of positive symptoms, significant (ESs=.32-.40). The majority of trials were randomized (13/16), selected active control conditions (11/16) and included at least 30 participants (12/16). Concerns for this area of research include the absence of blinded outcome raters in more than 50% of trials and low rates of utilization of procedures for maintaining treatment fidelity. These findings provide preliminary support for the broader use of comprehensive social cognitive training procedures as a psychosocial intervention for schizophrenia. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Tabletop Tool for Modeling Life Support Systems

NASA Technical Reports Server (NTRS)

Ramachandran, N.; Majumdar, A.; McDaniels, D.; Stewart, E.

2003-01-01

This paper describes the development plan for a comprehensive research and diagnostic tool for aspects of advanced life support systems in space-based laboratories. Specifically it aims to build a high fidelity tabletop model that can be used for the purpose of risk mitigation, failure mode analysis, contamination tracking, and testing reliability. We envision a comprehensive approach involving experimental work coupled with numerical simulation to develop this diagnostic tool. It envisions a 10% scale transparent model of a space platform such as the International Space Station that operates with water or a specific matched index of refraction liquid as the working fluid. This allows the scaling of a 10 ft x 10 ft x 10 ft room with air flow to 1 ft x 1 ft x 1 ft tabletop model with water/liquid flow. Dynamic similitude for this length scale dictates model velocities to be 67% of full-scale and thereby the time scale of the model to represent 15% of the full- scale system; meaning identical processes in the model are completed in 15% of the full- scale time. The use of an index matching fluid (fluid that matches the refractive index of cast acrylic, the model material) allows making the entire model (with complex internal geometry) transparent and hence conducive to non-intrusive optical diagnostics. So using such a system one can test environment control parameters such as core flows (axial flows), cross flows (from registers and diffusers), potential problem areas such as flow short circuits, inadequate oxygen content, build up of other gases beyond desirable levels, test mixing processes within the system at local nodes or compartments and assess the overall system performance. The system allows quantitative measurements of contaminants introduced in the system and allows testing and optimizing the tracking process and removal of contaminants. The envisaged system will be modular and hence flexible for quick configuration change and subsequent testing. The data and inferences from the tests will allow for improvements in the development and design of next generation life support systems and configurations.

Comprehensive Design Reliability Activities for Aerospace Propulsion Systems

NASA Technical Reports Server (NTRS)

Christenson, R. L.; Whitley, M. R.; Knight, K. C.

2000-01-01

This technical publication describes the methodology, model, software tool, input data, and analysis result that support aerospace design reliability studies. The focus of these activities is on propulsion systems mechanical design reliability. The goal of these activities is to support design from a reliability perspective. Paralleling performance analyses in schedule and method, this requires the proper use of metrics in a validated reliability model useful for design, sensitivity, and trade studies. Design reliability analysis in this view is one of several critical design functions. A design reliability method is detailed and two example analyses are provided-one qualitative and the other quantitative. The use of aerospace and commercial data sources for quantification is discussed and sources listed. A tool that was developed to support both types of analyses is presented. Finally, special topics discussed include the development of design criteria, issues of reliability quantification, quality control, and reliability verification.

A model of individualized canonical microcircuits supporting cognitive operations

PubMed Central

Peterson, Andre D. H.; Haueisen, Jens; Knösche, Thomas R.

2017-01-01

Major cognitive functions such as language, memory, and decision-making are thought to rely on distributed networks of a large number of basic elements, called canonical microcircuits. In this theoretical study we propose a novel canonical microcircuit model and find that it supports two basic computational operations: a gating mechanism and working memory. By means of bifurcation analysis we systematically investigate the dynamical behavior of the canonical microcircuit with respect to parameters that govern the local network balance, that is, the relationship between excitation and inhibition, and key intrinsic feedback architectures of canonical microcircuits. We relate the local behavior of the canonical microcircuit to cognitive processing and demonstrate how a network of interacting canonical microcircuits enables the establishment of spatiotemporal sequences in the context of syntax parsing during sentence comprehension. This study provides a framework for using individualized canonical microcircuits for the construction of biologically realistic networks supporting cognitive operations. PMID:29200435

RPD-based Hypothesis Reasoning for Cyber Situation Awareness

NASA Astrophysics Data System (ADS)

Yen, John; McNeese, Michael; Mullen, Tracy; Hall, David; Fan, Xiaocong; Liu, Peng

Intelligence workers such as analysts, commanders, and soldiers often need a hypothesis reasoning framework to gain improved situation awareness of the highly dynamic cyber space. The development of such a framework requires the integration of interdisciplinary techniques, including supports for distributed cognition (human-in-the-loop hypothesis generation), supports for team collaboration (identification of information for hypothesis evaluation), and supports for resource-constrained information collection (hypotheses competing for information collection resources). We here describe a cognitively-inspired framework that is built upon Klein’s recognition-primed decision model and integrates the three components of Endsley’s situation awareness model. The framework naturally connects the logic world of tools for cyber situation awareness with the mental world of human analysts, enabling the perception, comprehension, and prediction of cyber situations for better prevention, survival, and response to cyber attacks by adapting missions at the operational, tactical, and strategic levels.

Advanced Technology Lifecycle Analysis System (ATLAS) Technology Tool Box (TTB)

NASA Technical Reports Server (NTRS)

Doyle, Monica; ONeil, Daniel A.; Christensen, Carissa B.

2005-01-01

The Advanced Technology Lifecycle Analysis System (ATLAS) is a decision support tool designed to aid program managers and strategic planners in determining how to invest technology research and development dollars. It is an Excel-based modeling package that allows a user to build complex space architectures and evaluate the impact of various technology choices. ATLAS contains system models, cost and operations models, a campaign timeline and a centralized technology database. Technology data for all system models is drawn from a common database, the ATLAS Technology Tool Box (TTB). The TTB provides a comprehensive, architecture-independent technology database that is keyed to current and future timeframes.

AgRISTARS. Supporting research: Algorithms for scene modelling

NASA Technical Reports Server (NTRS)

Rassbach, M. E. (Principal Investigator)

1982-01-01

The requirements for a comprehensive analysis of LANDSAT or other visual data scenes are defined. The development of a general model of a scene and a computer algorithm for finding the particular model for a given scene is discussed. The modelling system includes a boundary analysis subsystem, which detects all the boundaries and lines in the image and builds a boundary graph; a continuous variation analysis subsystem, which finds gradual variations not well approximated by a boundary structure; and a miscellaneous features analysis, which includes texture, line parallelism, etc. The noise reduction capabilities of this method and its use in image rectification and registration are discussed.

Shale Gas Well, Hydraulic Fracturing, and Formation Data to Support Modeling of Gas and Water Flow in Shale Formations

NASA Astrophysics Data System (ADS)

Edwards, Ryan W. J.; Celia, Michael A.

2018-04-01

The potential for shale gas development and hydraulic fracturing to cause subsurface water contamination has prompted a number of modeling studies to assess the risk. A significant impediment for conducting robust modeling is the lack of comprehensive publicly available information and data about the properties of shale formations, shale wells, the process of hydraulic fracturing, and properties of the hydraulic fractures. We have collated a substantial amount of these data that are relevant for modeling multiphase flow of water and gas in shale gas formations. We summarize these data and their sources in tabulated form.

The Reading-Writing Connection II: Text Structure and Reading Comprehension.

ERIC Educational Resources Information Center

Schatzberg-Smith, Kathleen

1987-01-01

Distinguishes between macrostructures and microstructures in text, reviews research on the comprehension of text structures, and concludes that both theory and research support the presence of a link between text structure and reading comprehension. (DMM)

Right Science and Right Results: Lifestyle Change, PBS, and Human Dignity

ERIC Educational Resources Information Center

Turnbull, Ann; Turnbull, Rud

2011-01-01

This article provides an in-depth analysis of the comprehensive supports necessary for an adult with multiple disabilities and significant problem behavior to experience an inclusive adulthood. Written from the perspective of parents, the article highlights "lessons learned" about how to implement and finance comprehensive supports across domains…

Practitioner Talk on Deaf Children's Reading Comprehension: Analysing Multiple Voices

ERIC Educational Resources Information Center

Swanwick, Ruth A.; Kitchen, Ruth; Clarke, Paula J.

2012-01-01

This study examined different perspectives of deaf education practitioners on deafness and reading comprehension. This involved a full deaf education support team comprising teachers of the deaf, communication support workers, and deaf instructors from a UK citywide service covering early years, primary and secondary settings. Using a focus group…

Supporting Source Code Comprehension during Software Evolution and Maintenance

ERIC Educational Resources Information Center

Alhindawi, Nouh

2013-01-01

This dissertation addresses the problems of program comprehension to support the evolution of large-scale software systems. The research concerns how software engineers locate features and concepts along with categorizing changes within very large bodies of source code along with their versioned histories. More specifically, advanced Information…

Implicit Prosody and Cue-based Retrieval: L1 and L2 Agreement and Comprehension during Reading

PubMed Central

Pratt, Elizabeth; Fernández, Eva M.

2016-01-01

This project focuses on structural and prosodic effects during reading, examining their influence on agreement processing and comprehension in native English (L1) and Spanish–English bilingual (L2) speakers. We consolidate research from several distinct areas of inquiry—cognitive processing, reading fluency, and L1/L2 processing—in order to support the integration of prosody with a cue-based retrieval mechanism for subject-verb agreement. To explore this proposal, the experimental design manipulated text presentation to influence implicit prosody, using sentences designed to induce subject-verb agreement attraction errors. Materials included simple and complex relative clauses with head nouns and verbs that were either matched or mismatched for number. Participants read items in one of three presentation formats (whole sentence, word-by-word, or phrase-by-phrase), rated each item for grammaticality, and responded to a comprehension probe. Results indicated that while overall, message comprehension was prioritized over subject-verb agreement computation, presentation format differentially affected both measures in the L1 and L2 groups. For the L1 participants, facilitating the projection of phrasal prosody onto text (phrase-by-phrase presentation) enhanced performance in agreement processing, while disrupting prosodic projection via word-by-word presentation decreased comprehension accuracy. For the L2 participants, however, phrase-by-phrase presentation was not significantly beneficial for agreement processing, and additionally resulted in lower comprehension accuracy. These differences point to a significant role of prosodic phrasing during agreement processing in both L1 and L2 speakers, additionally suggesting that it may contribute to a cue-based retrieval agreement model, either acting as a cue directly, or otherwise scaffolding the retrieval process. The discussion and results presented provide support both for a cue-based retrieval mechanism in agreement, and the function of prosody within such a mechanism, adding further insight into the interaction of retrieval processes, cognitive task load, and the role of implicit prosody. PMID:28018264

Implicit Prosody and Cue-based Retrieval: L1 and L2 Agreement and Comprehension during Reading.

PubMed

Pratt, Elizabeth; Fernández, Eva M

2016-01-01

This project focuses on structural and prosodic effects during reading, examining their influence on agreement processing and comprehension in native English (L1) and Spanish-English bilingual (L2) speakers. We consolidate research from several distinct areas of inquiry-cognitive processing, reading fluency, and L1/L2 processing-in order to support the integration of prosody with a cue-based retrieval mechanism for subject-verb agreement. To explore this proposal, the experimental design manipulated text presentation to influence implicit prosody, using sentences designed to induce subject-verb agreement attraction errors. Materials included simple and complex relative clauses with head nouns and verbs that were either matched or mismatched for number. Participants read items in one of three presentation formats (whole sentence, word-by-word, or phrase-by-phrase), rated each item for grammaticality, and responded to a comprehension probe. Results indicated that while overall, message comprehension was prioritized over subject-verb agreement computation, presentation format differentially affected both measures in the L1 and L2 groups. For the L1 participants, facilitating the projection of phrasal prosody onto text (phrase-by-phrase presentation) enhanced performance in agreement processing, while disrupting prosodic projection via word-by-word presentation decreased comprehension accuracy. For the L2 participants, however, phrase-by-phrase presentation was not significantly beneficial for agreement processing, and additionally resulted in lower comprehension accuracy. These differences point to a significant role of prosodic phrasing during agreement processing in both L1 and L2 speakers, additionally suggesting that it may contribute to a cue-based retrieval agreement model, either acting as a cue directly, or otherwise scaffolding the retrieval process. The discussion and results presented provide support both for a cue-based retrieval mechanism in agreement, and the function of prosody within such a mechanism, adding further insight into the interaction of retrieval processes, cognitive task load, and the role of implicit prosody.

A New Foundation for the Delivery and Financing of American Health Care.

PubMed

Saultz, John W; Jones, Samuel M; McDaniel, Susan H; Bagley, Bruce; McCormally, Terence; Marker, Jason E; Weida, Jane A; Green, Larry A

2015-09-01

For the past decade, primary care practices across America have worked to implement a practice model called the Patient-Centered Medical Home (PCMH) to revitalize practice, better support clinicians and patients, improve efficiency, and facilitate growth in primary care capacity. In spite of substantial progress, this work has not been matched by sufficient change in the payment system to allow these goals to be accomplished. Nevertheless, improving the quality and availability of primary care remains essential to achieving the goals of the Triple Aim (better health care, better population health, and containment of health care costs). For this to occur, the PCMH model of care must be further refined, and the payment system for primary care must be completely restructured. The need for these changes is urgent. In October 2014, the discipline of family medicine announced a comprehensive strategic plan called Family Medicine for America's Health (FMAHealth). FMAHealth proposes to expand the PCMH care model by fully integrating our nation's behavioral/mental health, public health, and primary care systems to create a new foundation for American health care. Accomplishing these ambitious goals will require a broad coalition of private and public interests across the health care disciplines as well as patients, communities, government, and businesses. These changes require additional infrastructure that existing financing systems do not adequately support, so comprehensive payment reform is essential for large-scale dissemination and sustainability of this model. The new payment model must reward value rather than volume of service and must provide a secure financial foundation for practices designed to care for patients and communities at affordable costs.

Extended MHD modeling of nonlinear instabilities in fusion and space plasmas

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

Germaschewski, Kai

A number of different sub-projects where pursued within this DOE early career project. The primary focus was on using fully nonlinear, curvilinear, extended MHD simulations of instabilities with applications to fusion and space plasmas. In particular, we performed comprehensive studies of the dynamics of the double tearing mode in different regimes and confi gurations, using Cartesian and cyclindrical geometry and investigating both linear and non-linear dynamics. In addition to traditional extended MHD involving Hall term and electron pressure gradient, we also employed a new multi-fluid moment model, which shows great promise to incorporate kinetic effects, in particular off-diagonal elements ofmore » the pressure tensor, in a fluid model, which is naturally computationally much cheaper than fully kinetic particle or Vlasov simulations. We used our Vlasov code for detailed studies of how weak collisions effect plasma echos. In addition, we have played an important supporting role working with the PPPL theory group around Will Fox and Amitava Bhattacharjee on providing simulation support for HED plasma experiments performed at high-powered laser facilities like OMEGA-EP in Rochester, NY. This project has support a great number of computational advances in our fluid and kinetic plasma models, and has been crucial to winning multiple INCITE computer time awards that supported our computational modeling.« less

Language control in bilingual language comprehension: evidence from the maze task

PubMed Central

Wang, Xin

2015-01-01

Most empirical evidence on switch costs is based on bilingual production and interpreted as a result of inhibitory control. It is unclear whether such a top–down control process exists in language switching during comprehension. This study investigates whether a non-lexical switch cost is involved in reading code-switched sentences and its relation to language dominance with cross-script bilingual readers. A maze task is adopted in order to separate top–down inhibitory effects, from lexical effects driven by input. The key findings are: (1) switch costs were observed in both L1–L2 and L2–L1 directions; (2) these effects were driven by two mechanisms: lexical activation and inhibitory control; (3) language dominance modulated the lexical effects, but did not affect the inhibitory effects. These results suggest that a language control mechanism is involved in bilingual reading, even though the control process is not driven by selection as in production. At the theoretical level, these results lend support for the Inhibitory Control model during language switching in comprehension; while the BIA/BIA+ model needs to incorporate a top–down control mechanism to be able to explain the current findings. PMID:26347675

The Comprehensive Health Education Workers Project and Caring Professionals as Asset-Builders

ERIC Educational Resources Information Center

Lévesque, Michel

2017-01-01

The Comprehensive Health Education Workers (CHEW) Project is a community-based initiative that educates sexual and gender minority (SGM or LGBTQ) young people about comprehensive--mental, physical, sexual, and social--health and that supports their comprehensive health needs with other services. Since October 2014, CHEW Project staff have served…

Learning to Estimate Slide Comprehension in Classrooms with Support Vector Machines

ERIC Educational Resources Information Center

Pattanasri, N.; Mukunoki, M.; Minoh, M.

2012-01-01

Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide…

Antibiotic Stewardship Programs in U.S. Acute Care Hospitals: Findings From the 2014 National Healthcare Safety Network Annual Hospital Survey.

PubMed

Pollack, Lori A; van Santen, Katharina L; Weiner, Lindsey M; Dudeck, Margaret A; Edwards, Jonathan R; Srinivasan, Arjun

2016-08-15

The National Action Plan to Combat Antibiotic Resistant Bacteria calls for all US hospitals to improve antibiotic prescribing as a key prevention strategy for resistance and Clostridium difficile Antibiotic stewardship programs (ASPs) will be important in this effort but implementation is not well understood. We analyzed the 2014 National Healthcare Safety Network Annual Hospital Survey to describe ASPs in US acute care hospitals as defined by the Center for Disease Control and Prevention's (CDC) Core Elements for Hospital ASPs. Univariate analyses were used to assess stewardship infrastructure and practices by facility characteristics and a multivariate model determined factors associated with meeting all ASP core elements. Among 4184 US hospitals, 39% reported having an ASP that met all 7 core elements. Although hospitals with greater than 200 beds (59%) were more likely to have ASPs, 1 in 4 (25%) of hospitals with less than 50 beds reported achieving all 7 CDC-defined core elements of a comprehensive ASP. The percent of hospitals in each state that reported all seven elements ranged from 7% to 58%. In the multivariate model, written support (adjusted relative risk [RR] 7.2 [95% confidence interval [CI], 6.2-8.4]; P < .0001) or salary support (adjusted RR 1.5 [95% CI, 1.4-1.6]; P < .0001) were significantly associated with having a comprehensive ASP. Our findings show that ASP implementation varies across the United States and provide a baseline to monitor progress toward national goals. Comprehensive ASPs can be established in facilities of any size and hospital leadership support for antibiotic stewardship appears to drive the establishment of ASPs. Published by Oxford University Press for the Infectious Diseases Society of America 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Load index model: An advanced tool to support decision making during mass-casualty incidents.

PubMed

Adini, Bruria; Aharonson-Daniel, Limor; Israeli, Avi

2015-03-01

In mass-casualty events, accessing information concerning hospital congestion levels is crucial to improving patient distribution and optimizing care. The study aimed to develop a decision support tool for distributing casualties to hospitals in an emergency scenario involving multiple casualties. A comprehensive literature review and structured interviews with 20 content experts produced a shortlist of relevant criteria for inclusion in the model. A "load index model" was prepared, incorporating results of a modified Delphi survey of 100 emergency response experts. The model was tested in three simulation exercises in which an emergency scenario was presented to six groups of senior emergency managers. Information was provided regarding capacities of 11 simulated admitting hospitals in the region, and evacuation destinations were requested for 600 simulated casualties. Of the three simulation rounds, two were performed without the model and one after its presentation. Following simulation experiments and implementation during a real-life security threat, the efficacy of the model was assessed. Variability between experts concerning casualties' evacuation destinations decreased significantly following the model's introduction. Most responders (92%) supported the need for standardized data, and 85% found that the model improved policy setting regarding casualty evacuation in an emergency situation. These findings were reaffirmed in a real-life emergency scenario. The proposed model improved capacity to ensure evacuation of patients to less congested medical facilities in emergency situations, thereby enhancing lifesaving medical services. The model supported decision-making processes in both simulation exercises and an actual emergency situation.

Methodology and application of combined watershed and ground-water models in Kansas

USGS Publications Warehouse

Sophocleous, M.; Perkins, S.P.

2000-01-01

Increased irrigation in Kansas and other regions during the last several decades has caused serious water depletion, making the development of comprehensive strategies and tools to resolve such problems increasingly important. This paper makes the case for an intermediate complexity, quasi-distributed, comprehensive, large-watershed model, which falls between the fully distributed, physically based hydrological modeling system of the type of the SHE model and the lumped, conceptual rainfall-runoff modeling system of the type of the Stanford watershed model. This is achieved by integrating the quasi-distributed watershed model SWAT with the fully-distributed ground-water model MODFLOW. The advantage of this approach is the appreciably smaller input data requirements and the use of readily available data (compared to the fully distributed, physically based models), the statistical handling of watershed heterogeneities by employing the hydrologic-response-unit concept, and the significantly increased flexibility in handling stream-aquifer interactions, distributed well withdrawals, and multiple land uses. The mechanics of integrating the component watershed and ground-water models are outlined, and three real-world management applications of the integrated model from Kansas are briefly presented. Three different aspects of the integrated model are emphasized: (1) management applications of a Decision Support System for the integrated model (Rattlesnake Creek subbasin); (2) alternative conceptual models of spatial heterogeneity related to the presence or absence of an underlying aquifer with shallow or deep water table (Lower Republican River basin); and (3) the general nature of the integrated model linkage by employing a watershed simulator other than SWAT (Wet Walnut Creek basin). These applications demonstrate the practicality and versatility of this relatively simple and conceptually clear approach, making public acceptance of the integrated watershed modeling system much easier. This approach also enhances model calibration and thus the reliability of model results. (C) 2000 Elsevier Science B.V.Increased irrigation in Kansas and other regions during the last several decades has caused serious water depletion, making the development of comprehensive strategies and tools to resolve such problems increasingly important. This paper makes the case for an intermediate complexity, quasi-distributed, comprehensive, large-watershed model, which falls between the fully distributed, physically based hydrological modeling system of the type of the SHE model and the lumped, conceptual rainfall-runoff modeling system of the type of the Stanford watershed model. This is achieved by integrating the quasi-distributed watershed model SWAT with the fully-distributed ground-water model MODFLOW. The advantage of this approach is the appreciably smaller input data requirements and the use of readily available data (compared to the fully distributed, physically based models), the statistical handling of watershed heterogeneities by employing the hydrologic-response-unit concept, and the significantly increased flexibility in handling stream-aquifer interactions, distributed well withdrawals, and multiple land uses. The mechanics of integrating the component watershed and ground-water models are outlined, and three real-world management applications of the integrated model from Kansas are briefly presented. Three different aspects of the integrated model are emphasized: (1) management applications of a Decision Support System for the integrated model (Rattlesnake Creek subbasin); (2) alternative conceptual models of spatial heterogeneity related to the presence or absence of an underlying aquifer with shallow or deep water table (Lower Republican River basin); and (3) the general nature of the integrated model linkage by employing a watershed simulator other than SWAT (Wet Walnut Creek basin). These applications demonstrate the practicality and ve

New EVSE Analytical Tools/Models: Electric Vehicle Infrastructure Projection Tool (EVI-Pro)

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

Wood, Eric W; Rames, Clement L; Muratori, Matteo

This presentation addresses the fundamental question of how much charging infrastructure is needed in the United States to support PEVs. It complements ongoing EVSE initiatives by providing a comprehensive analysis of national PEV charging infrastructure requirements. The result is a quantitative estimate for a U.S. network of non-residential (public and workplace) EVSE that would be needed to support broader PEV adoption. The analysis provides guidance to public and private stakeholders who are seeking to provide nationwide charging coverage, improve the EVSE business case by maximizing station utilization, and promote effective use of private/public infrastructure investments.

Challenges to Applying a Metamodel for Groundwater Flow Beyond Underlying Numerical Model Boundaries

NASA Astrophysics Data System (ADS)

Reeves, H. W.; Fienen, M. N.; Feinstein, D.

2015-12-01

Metamodels of environmental behavior offer opportunities for decision support, adaptive management, and increased stakeholder engagement through participatory modeling and model exploration. Metamodels are derived from calibrated, computationally demanding, numerical models. They may potentially be applied to non-modeled areas to provide screening or preliminary analysis tools for areas that do not yet have the benefit of more comprehensive study. In this decision-support mode, they may be fulfilling a role often accomplished by application of analytical solutions. The major challenge to transferring a metamodel to a non-modeled area is how to quantify the spatial data in the new area of interest in such a way that it is consistent with the data used to derive the metamodel. Tests based on transferring a metamodel derived from a numerical groundwater-flow model of the Lake Michigan Basin to other glacial settings across the northern U.S. show that the spatial scale of the numerical model must be appropriately scaled to adequately represent different settings. Careful GIS analysis of the numerical model, metamodel, and new area of interest is required for successful transfer of results.

Comprehensive review: Computational modelling of schizophrenia.

PubMed

Valton, Vincent; Romaniuk, Liana; Douglas Steele, J; Lawrie, Stephen; Seriès, Peggy

2017-12-01

Computational modelling has been used to address: (1) the variety of symptoms observed in schizophrenia using abstract models of behavior (e.g. Bayesian models - top-down descriptive models of psychopathology); (2) the causes of these symptoms using biologically realistic models involving abnormal neuromodulation and/or receptor imbalance (e.g. connectionist and neural networks - bottom-up realistic models of neural processes). These different levels of analysis have been used to answer different questions (i.e. understanding behavioral vs. neurobiological anomalies) about the nature of the disorder. As such, these computational studies have mostly supported diverging hypotheses of schizophrenia's pathophysiology, resulting in a literature that is not always expanding coherently. Some of these hypotheses are however ripe for revision using novel empirical evidence. Here we present a review that first synthesizes the literature of computational modelling for schizophrenia and psychotic symptoms into categories supporting the dopamine, glutamate, GABA, dysconnection and Bayesian inference hypotheses respectively. Secondly, we compare model predictions against the accumulated empirical evidence and finally we identify specific hypotheses that have been left relatively under-investigated. Copyright © 2017. Published by Elsevier Ltd.

Knowledge-based and model-based hybrid methodology for comprehensive waste minimization in electroplating plants

NASA Astrophysics Data System (ADS)

Luo, Keqin

1999-11-01

The electroplating industry of over 10,000 planting plants nationwide is one of the major waste generators in the industry. Large quantities of wastewater, spent solvents, spent process solutions, and sludge are the major wastes generated daily in plants, which costs the industry tremendously for waste treatment and disposal and hinders the further development of the industry. It becomes, therefore, an urgent need for the industry to identify technically most effective and economically most attractive methodologies and technologies to minimize the waste, while the production competitiveness can be still maintained. This dissertation aims at developing a novel WM methodology using artificial intelligence, fuzzy logic, and fundamental knowledge in chemical engineering, and an intelligent decision support tool. The WM methodology consists of two parts: the heuristic knowledge-based qualitative WM decision analysis and support methodology and fundamental knowledge-based quantitative process analysis methodology for waste reduction. In the former, a large number of WM strategies are represented as fuzzy rules. This becomes the main part of the knowledge base in the decision support tool, WMEP-Advisor. In the latter, various first-principles-based process dynamic models are developed. These models can characterize all three major types of operations in an electroplating plant, i.e., cleaning, rinsing, and plating. This development allows us to perform a thorough process analysis on bath efficiency, chemical consumption, wastewater generation, sludge generation, etc. Additional models are developed for quantifying drag-out and evaporation that are critical for waste reduction. The models are validated through numerous industrial experiments in a typical plating line of an industrial partner. The unique contribution of this research is that it is the first time for the electroplating industry to (i) use systematically available WM strategies, (ii) know quantitatively and accurately what is going on in each tank, and (iii) identify all WM opportunities through process improvement. This work has formed a solid foundation for the further development of powerful WM technologies for comprehensive WM in the following decade.

Seismic Risk Assessment for the Kyrgyz Republic

NASA Astrophysics Data System (ADS)

Pittore, Massimiliano; Sousa, Luis; Grant, Damian; Fleming, Kevin; Parolai, Stefano; Fourniadis, Yannis; Free, Matthew; Moldobekov, Bolot; Takeuchi, Ko

2017-04-01

The Kyrgyz Republic is one of the most socially and economically dynamic countries in Central Asia, and one of the most endangered by earthquake hazard in the region. In order to support the government of the Kyrgyz Republic in the development of a country-level Disaster Risk Reduction strategy, a comprehensive seismic risk study has been developed with the support of the World Bank. As part of this project, state-of-the-art hazard, exposure and vulnerability models have been developed and combined into the assessment of direct physical and economic risk on residential, educational and transportation infrastructure. The seismic hazard has been modelled with three different approaches, in order to provide a comprehensive overview of the possible consequences. A probabilistic seismic hazard assessment (PSHA) approach has been used to quantitatively evaluate the distribution of expected ground shaking intensity, as constrained by the compiled earthquake catalogue and associated seismic source model. A set of specific seismic scenarios based on events generated from known fault systems have been also considered, in order to provide insight on the expected consequences in case of strong events in proximity of densely inhabited areas. Furthermore, long-span catalogues of events have been generated stochastically and employed in the probabilistic analysis of expected losses over the territory of the Kyrgyz Republic. Damage and risk estimates have been computed by using an exposure model recently developed for the country, combined with the assignment of suitable fragility/vulnerability models. The risk estimation has been carried out with spatial aggregation at the district (rayon) level. The obtained results confirm the high level of seismic risk throughout the country, also pinpointing the location of several risk hotspots, particularly in the southern districts, in correspondence with the Ferghana valley. The outcome of this project will further support the local decision makers in implementing specific prevention and mitigation measures that are consistent with a broad risk reduction strategy.

How Spoken Language Comprehension is Achieved by Older Listeners in Difficult Listening Situations.

PubMed

Schneider, Bruce A; Avivi-Reich, Meital; Daneman, Meredyth

2016-01-01

Comprehending spoken discourse in noisy situations is likely to be more challenging to older adults than to younger adults due to potential declines in the auditory, cognitive, or linguistic processes supporting speech comprehension. These challenges might force older listeners to reorganize the ways in which they perceive and process speech, thereby altering the balance between the contributions of bottom-up versus top-down processes to speech comprehension. The authors review studies that investigated the effect of age on listeners' ability to follow and comprehend lectures (monologues), and two-talker conversations (dialogues), and the extent to which individual differences in lexical knowledge and reading comprehension skill relate to individual differences in speech comprehension. Comprehension was evaluated after each lecture or conversation by asking listeners to answer multiple-choice questions regarding its content. Once individual differences in speech recognition for words presented in babble were compensated for, age differences in speech comprehension were minimized if not eliminated. However, younger listeners benefited more from spatial separation than did older listeners. Vocabulary knowledge predicted the comprehension scores of both younger and older listeners when listening was difficult, but not when it was easy. However, the contribution of reading comprehension to listening comprehension appeared to be independent of listening difficulty in younger adults but not in older adults. The evidence suggests (1) that most of the difficulties experienced by older adults are due to age-related auditory declines, and (2) that these declines, along with listening difficulty, modulate the degree to which selective linguistic and cognitive abilities are engaged to support listening comprehension in difficult listening situations. When older listeners experience speech recognition difficulties, their attentional resources are more likely to be deployed to facilitate lexical access, making it difficult for them to fully engage higher-order cognitive abilities in support of listening comprehension.

Head-twitch response in rodents induced by the hallucinogen 2,5-dimethoxy-4-iodoamphetamine: a comprehensive history, a re-evaluation of mechanisms, and its utility as a model

PubMed Central

Canal, Clint E.; Morgan, Drake

2013-01-01

Two primary animal models persist for assessing hallucinogenic potential of novel compounds and for examining the pharmacological and neurobiological substrates underlying the actions of classical hallucinogens, the two-lever drug discrimination procedure and the drug-induced head-twitch response (HTR) in rodents. The substituted amphetamine hallucinogen, serotonin 2 (5-HT2) receptor agonist, 2,5-dimethoxy-4-iodoamphetamine (DOI) has emerged as the most popular pharmacological tool used in HTR studies of hallucinogens. Synthesizing classic, recent, and relatively overlooked findings, addressing ostensibly conflicting observations, and considering contemporary theories in receptor and behavioural pharmacology, this review provides an up-to-date and comprehensive synopsis of DOI and the HTR model, from neural mechanisms to utility for understanding psychiatric diseases. Also presented is support for the argument that, although both the two-lever drug discrimination and the HTR models in rodents are useful for uncovering receptors, interacting proteins, intracellular signalling pathways, and neurochemical processes affected by DOI and related classical hallucinogens, results from both models suggest they are not reporting hallucinogenic experiences in animals. PMID:22517680

Can I get me out of my head? Exploring strategies for controlling the self-referential aspects of the mind-wandering state during reading.

PubMed

Sanders, Jet G; Wang, Hao-Ting; Schooler, Jonathan; Smallwood, Jonathan

2017-06-01

Trying to focus on a piece of text and keep unrelated thoughts at bay can be a surprisingly futile experience. The current study explored the effects of different instructions on participants' capacity to control their mind-wandering and maximize reading comprehension, while reading. Participants were instructed to (a) enhance focus on what was read (external) or (b) enhance meta-awareness of mind-wandering (internal). To understand when these strategies were important, we induced a state of self-focus in half of our participants at the beginning of the experiment. Results replicated the negative association between mind-wandering and comprehension and demonstrated that both internal and external instructions impacted on the efficiency of reading following a period of induced self-focus. Techniques that foster meta-awareness improved task focus but did so at the detriment of reading comprehension, while promoting a deeper engagement while reading improved comprehension with no changes in reported mind-wandering. These data provide insight into how we can control mind-wandering and improve comprehension, and they underline that a state of self-focus is a condition under which they should be employed. Furthermore, these data support component process models that propose that the self-referent mental contents that arise during mind-wandering are distinguishable from those processes that interfere with comprehension.

Phonological and semantic processing during comprehension in Wernicke's aphasia: An N400 and Phonological Mapping Negativity Study.

PubMed

Robson, Holly; Pilkington, Emma; Evans, Louise; DeLuca, Vincent; Keidel, James L

2017-06-01

Comprehension impairments in Wernicke's aphasia are thought to result from a combination of impaired phonological and semantic processes. However, the relationship between these cognitive processes and language comprehension has only been inferred through offline neuropsychological tasks. This study used ERPs to investigate phonological and semantic processing during online single word comprehension. EEG was recorded in a group of Wernicke's aphasia n=8 and control participants n=10 while performing a word-picture verification task. The N400 and Phonological Mapping Negativity/Phonological Mismatch Negativity (PMN) event-related potential components were investigated as an index of semantic and phonological processing, respectively. Individuals with Wernicke's aphasia displayed reduced and inconsistent N400 and PMN effects in comparison to control participants. Reduced N400 effects in the WA group were simulated in the control group by artificially degrading speech perception. Correlation analyses in the Wernicke's aphasia group found that PMN but not N400 amplitude was associated with behavioural word-picture verification performance. The results confirm impairments at both phonological and semantic stages of comprehension in Wernicke's aphasia. However, reduced N400 responses in Wernicke's aphasia are at least partially attributable to earlier phonological processing impairments. The results provide further support for the traditional model of Wernicke's aphasia which claims a causative link between phonological processing and language comprehension impairments. Copyright © 2017 Elsevier Ltd. All rights reserved.

Children's Comprehension of Object Relative Sentences: It's Extant Language Knowledge That Matters, Not Domain-General Working Memory.

PubMed

Rusli, Yazmin Ahmad; Montgomery, James W

2017-10-17

The aim of this study was to determine whether extant language (lexical) knowledge or domain-general working memory is the better predictor of comprehension of object relative sentences for children with typical development. We hypothesized that extant language knowledge, not domain-general working memory, is the better predictor. Fifty-three children (ages 9-11 years) completed a word-level verbal working-memory task, indexing extant language (lexical) knowledge; an analog nonverbal working-memory task, representing domain-general working memory; and a hybrid sentence comprehension task incorporating elements of both agent selection and cross-modal picture-priming paradigms. Images of the agent and patient were displayed at the syntactic gap in the object relative sentences, and the children were asked to select the agent of the sentence. Results of general linear modeling revealed that extant language knowledge accounted for a unique 21.3% of variance in the children's object relative sentence comprehension over and above age (8.3%). Domain-general working memory accounted for a nonsignificant 1.6% of variance. We interpret the results to suggest that extant language knowledge and not domain-general working memory is a critically important contributor to children's object relative sentence comprehension. Results support a connectionist view of the association between working memory and object relative sentence comprehension. https://doi.org/10.23641/asha.5404573.

A quantitative framework to evaluate modeling of cortical development by neural stem cells

PubMed Central

Stein, Jason L.; de la Torre-Ubieta, Luis; Tian, Yuan; Parikshak, Neelroop N.; Hernandez, Israel A.; Marchetto, Maria C.; Baker, Dylan K.; Lu, Daning; Hinman, Cassidy R.; Lowe, Jennifer K.; Wexler, Eric M.; Muotri, Alysson R.; Gage, Fred H.; Kosik, Kenneth S.; Geschwind, Daniel H.

2014-01-01

Summary Neural stem cells have been adopted to model a wide range of neuropsychiatric conditions in vitro. However, how well such models correspond to in vivo brain has not been evaluated in an unbiased, comprehensive manner. We used transcriptomic analyses to compare in vitro systems to developing human fetal brain and observed strong conservation of in vivo gene expression and network architecture in differentiating primary human neural progenitor cells (phNPCs). Conserved modules are enriched in genes associated with ASD, supporting the utility of phNPCs for studying neuropsychiatric disease. We also developed and validated a machine learning approach called CoNTExT that identifies the developmental maturity and regional identity of in vitro models. We observed strong differences between in vitro models, including hiPSC-derived neural progenitors from multiple laboratories. This work provides a systems biology framework for evaluating in vitro systems and supports their value in studying the molecular mechanisms of human neurodevelopmental disease. PMID:24991955

The nature of mind wandering during reading varies with the cognitive control demands of the reading strategy.

PubMed

Moss, Jarrod; Schunn, Christian D; Schneider, Walter; McNamara, Danielle S

2013-11-20

Prior studies of mind wandering find the default network active during mind wandering, but these studies have yielded mixed results concerning the role of cognitive control brain regions during mind wandering. Mind wandering often interferes with reading comprehension, and prior neuroimaging studies of discourse comprehension and strategic reading comprehension have shown that there are at least two networks of brain regions that support strategic discourse comprehension: a domain-general control network and a network of regions supporting coherence-building comprehension processes. The present study was designed to further examine the neural correlates of mind wandering by examining mind wandering during strategic reading comprehension. Participants provided ratings of mind wandering frequency that were used to investigate interactions between the strategy being performed and brain regions whose activation was modulated by wind wandering. The results support prior findings showing that cognitive control regions are at times more active during mind wandering than during a task with low control demands, such as rereading. This result provides an initial examination of the neural correlates of mind wandering during discourse comprehension and shows that the processes being engaged by the primary task need to be considered when studying mind wandering. The results also replicate, in a different learning domain, prior findings of key brain areas associated with different reading strategies. © 2013 Published by Elsevier B.V.

Model invariance across genders of the Broad Autism Phenotype Questionnaire.

PubMed

Broderick, Neill; Wade, Jordan L; Meyer, J Patrick; Hull, Michael; Reeve, Ronald E

2015-10-01

ASD is one of the most heritable neuropsychiatric disorders, though comprehensive genetic liability remains elusive. To facilitate genetic research, researchers employ the concept of the broad autism phenotype (BAP), a milder presentation of traits in undiagnosed relatives. Research suggests that the BAP Questionnaire (BAPQ) demonstrates psychometric properties superior to other self-report measures. To examine evidence regarding validity of the BAPQ, the current study used confirmatory factor analysis to test the assumption of model invariance across genders. Results of the current study upheld model invariance at each level of parameter constraint; however, model fit indices suggested limited goodness-of-fit between the proposed model and the sample. Exploratory analyses investigated alternate factor structure models but ultimately supported the proposed three-factor structure model.

Development and Validation of the PREMM5 Model for Comprehensive Risk Assessment of Lynch Syndrome.

PubMed

Kastrinos, Fay; Uno, Hajime; Ukaegbu, Chinedu; Alvero, Carmelita; McFarland, Ashley; Yurgelun, Matthew B; Kulke, Matthew H; Schrag, Deborah; Meyerhardt, Jeffrey A; Fuchs, Charles S; Mayer, Robert J; Ng, Kimmie; Steyerberg, Ewout W; Syngal, Sapna

2017-07-01

Purpose Current Lynch syndrome (LS) prediction models quantify the risk to an individual of carrying a pathogenic germline mutation in three mismatch repair (MMR) genes: MLH1, MSH2, and MSH6. We developed a new prediction model, PREMM 5 , that incorporates the genes PMS2 and EPCAM to provide comprehensive LS risk assessment. Patients and Methods PREMM 5 was developed to predict the likelihood of a mutation in any of the LS genes by using polytomous logistic regression analysis of clinical and germline data from 18,734 individuals who were tested for all five genes. Predictors of mutation status included sex, age at genetic testing, and proband and family cancer histories. Discrimination was evaluated by the area under the receiver operating characteristic curve (AUC), and clinical impact was determined by decision curve analysis; comparisons were made to the existing PREMM 1,2,6 model. External validation of PREMM 5 was performed in a clinic-based cohort of 1,058 patients with colorectal cancer. Results Pathogenic mutations were detected in 1,000 (5%) of 18,734 patients in the development cohort; mutations included MLH1 (n = 306), MSH2 (n = 354), MSH6 (n = 177), PMS2 (n = 141), and EPCAM (n = 22). PREMM 5 distinguished carriers from noncarriers with an AUC of 0.81 (95% CI, 0.79 to 0.82), and performance was similar in the validation cohort (AUC, 0.83; 95% CI, 0.75 to 0.92). Prediction was more difficult for PMS2 mutations (AUC, 0.64; 95% CI, 0.60 to 0.68) than for other genes. Performance characteristics of PREMM 5 exceeded those of PREMM 1,2,6 . Decision curve analysis supported germline LS testing for PREMM 5 scores ≥ 2.5%. Conclusion PREMM 5 provides comprehensive risk estimation of all five LS genes and supports LS genetic testing for individuals with scores ≥ 2.5%. At this threshold, PREMM 5 provides performance that is superior to the existing PREMM 1,2,6 model in the identification of carriers of LS, including those with weaker phenotypes and individuals unaffected by cancer.

Development and Validation of the PREMM5 Model for Comprehensive Risk Assessment of Lynch Syndrome

PubMed Central

Uno, Hajime; Ukaegbu, Chinedu; Alvero, Carmelita; McFarland, Ashley; Yurgelun, Matthew B.; Kulke, Matthew H.; Schrag, Deborah; Meyerhardt, Jeffrey A.; Fuchs, Charles S.; Mayer, Robert J.; Ng, Kimmie; Steyerberg, Ewout W.; Syngal, Sapna

2017-01-01

Purpose Current Lynch syndrome (LS) prediction models quantify the risk to an individual of carrying a pathogenic germline mutation in three mismatch repair (MMR) genes: MLH1, MSH2, and MSH6. We developed a new prediction model, PREMM5, that incorporates the genes PMS2 and EPCAM to provide comprehensive LS risk assessment. Patients and Methods PREMM5 was developed to predict the likelihood of a mutation in any of the LS genes by using polytomous logistic regression analysis of clinical and germline data from 18,734 individuals who were tested for all five genes. Predictors of mutation status included sex, age at genetic testing, and proband and family cancer histories. Discrimination was evaluated by the area under the receiver operating characteristic curve (AUC), and clinical impact was determined by decision curve analysis; comparisons were made to the existing PREMM1,2,6 model. External validation of PREMM5 was performed in a clinic-based cohort of 1,058 patients with colorectal cancer. Results Pathogenic mutations were detected in 1,000 (5%) of 18,734 patients in the development cohort; mutations included MLH1 (n = 306), MSH2 (n = 354), MSH6 (n = 177), PMS2 (n = 141), and EPCAM (n = 22). PREMM5 distinguished carriers from noncarriers with an AUC of 0.81 (95% CI, 0.79 to 0.82), and performance was similar in the validation cohort (AUC, 0.83; 95% CI, 0.75 to 0.92). Prediction was more difficult for PMS2 mutations (AUC, 0.64; 95% CI, 0.60 to 0.68) than for other genes. Performance characteristics of PREMM5 exceeded those of PREMM1,2,6. Decision curve analysis supported germline LS testing for PREMM5 scores ≥ 2.5%. Conclusion PREMM5 provides comprehensive risk estimation of all five LS genes and supports LS genetic testing for individuals with scores ≥ 2.5%. At this threshold, PREMM5 provides performance that is superior to the existing PREMM1,2,6 model in the identification of carriers of LS, including those with weaker phenotypes and individuals unaffected by cancer. PMID:28489507

Training the Mind's Eye: "Brain Movies" Support Comprehension and Recall

ERIC Educational Resources Information Center

Wilson, Donna

2012-01-01

Explicit instruction on the skill of creating mental imagery from text supports reading comprehension and recall. This article shares a strategy for teaching students how to process what they read by comparing mental imagery to "brain movies." It emphasizes choosing appropriate fiction and nonfiction texts to encourage readers to build the skill…

Reading the Web: Internet Guided Reading with Young Children

ERIC Educational Resources Information Center

Salyer, David

2015-01-01

Online reading requires traditional and new comprehension skills and strategies, and these skills and strategies will have to be taught and supported, especially for young beginning readers. But how do elementary teachers go about doing this? Much of the research regarding teaching and supporting online reading comprehension has focused on older…

Aligning Comprehensive School Counseling Programs and Positive Behavioral Interventions and Supports to Maximize School Counselors' Efforts

ERIC Educational Resources Information Center

Goodman-Scott, Emily; Betters-Bubon, Jennifer; Donohue, Peg

2015-01-01

School counselors are tasked with contributing to a safe and preventative school climate serving students' academic, career, and social/emotional needs through comprehensive school counseling program implementation. Positive Behavioral Interventions and Supports (PBIS) prioritizes a positive school climate, is widely implemented in the United…

The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching

PubMed Central

Howe, Douglas G.; Bradford, Yvonne M.; Eagle, Anne; Fashena, David; Frazer, Ken; Kalita, Patrick; Mani, Prita; Martin, Ryan; Moxon, Sierra Taylor; Paddock, Holly; Pich, Christian; Ramachandran, Sridhar; Ruzicka, Leyla; Schaper, Kevin; Shao, Xiang; Singer, Amy; Toro, Sabrina; Van Slyke, Ceri; Westerfield, Monte

2017-01-01

The Zebrafish Model Organism Database (ZFIN; http://zfin.org) is the central resource for zebrafish (Danio rerio) genetic, genomic, phenotypic and developmental data. ZFIN curators provide expert manual curation and integration of comprehensive data involving zebrafish genes, mutants, transgenic constructs and lines, phenotypes, genotypes, gene expressions, morpholinos, TALENs, CRISPRs, antibodies, anatomical structures, models of human disease and publications. We integrate curated, directly submitted, and collaboratively generated data, making these available to zebrafish research community. Among the vertebrate model organisms, zebrafish are superbly suited for rapid generation of sequence-targeted mutant lines, characterization of phenotypes including gene expression patterns, and generation of human disease models. The recent rapid adoption of zebrafish as human disease models is making management of these data particularly important to both the research and clinical communities. Here, we describe recent enhancements to ZFIN including use of the zebrafish experimental conditions ontology, ‘Fish’ records in the ZFIN database, support for gene expression phenotypes, models of human disease, mutation details at the DNA, RNA and protein levels, and updates to the ZFIN single box search. PMID:27899582

How Specific Are Specific Comprehension Difficulties? An Investigation of Poor Reading Comprehension in Nine-Year-Olds

ERIC Educational Resources Information Center

Rønberg, Louise Flensted; Petersen, Dorthe Klint

2016-01-01

This study explores the incidence of poor comprehenders, that is, children identified as having reading comprehension difficulties, despite age-appropriate word reading skills. It supports the findings that some children do show poor reading comprehension, despite age-appropriate word reading, as measured with a phonological coding test. However,…

The Effects of Meta-Cognitive Instruction on Students' Reading Comprehension in Computerized Reading Contexts: A Quantitative Meta-Analysis

ERIC Educational Resources Information Center

Lan, Yi-Chin; Lo, Yu-Ling; Hsu, Ying-Shao

2014-01-01

Comprehension is the essence of reading. Finding appropriate and effective reading strategies to support students' reading comprehension has always been a critical issue for educators. This article presents findings from a meta-analysis of 17 studies of metacognitive strategy instruction on students' reading comprehension in computerized…

Comprehensive stroke units: a review of comparative evidence and experience.

PubMed

Chan, Daniel K Y; Cordato, Dennis; O'Rourke, Fintan; Chan, Daniel L; Pollack, Michael; Middleton, Sandy; Levi, Chris

2013-06-01

Stroke unit care offers significant benefits in survival and dependency when compared to general medical ward. Most stroke units are either acute or rehabilitation, but comprehensive (combined acute and rehabilitation) model (comprehensive stroke unit) is less common. To examine different levels of evidence of comprehensive stroke unit compared to other organized inpatient stroke care and share local experience of comprehensive stroke units. Cochrane Library and Medline (1980 to December 2010) review of English language articles comparing stroke units to alternative forms of stroke care delivery, different types of stroke unit models, and differences in processes of care within different stroke unit models. Different levels of comparative evidence of comprehensive stroke units to other models of stroke units are collected. There are no randomized controlled trials directly comparing comprehensive stroke units to other stroke unit models (either acute or rehabilitation). Comprehensive stroke units are associated with reduced length of stay and greatest reduction in combined death and dependency in a meta-analysis study when compared to other stroke unit models. Comprehensive stroke units also have better length of stay and functional outcome when compared to acute or rehabilitation stroke unit models in a cross-sectional study, and better length of stay in a 'before-and-after' comparative study. Components of stroke unit care that improve outcome are multifactorial and most probably include early mobilization. A comprehensive stroke unit model has been successfully implemented in metropolitan and rural hospital settings. Comprehensive stroke units are associated with reductions in length of stay and combined death and dependency and improved functional outcomes compared to other stroke unit models. A comprehensive stroke unit model is worth considering as the preferred model of stroke unit care in the planning and delivery of metropolitan and rural stroke services. © 2012 The Authors. International Journal of Stroke © 2012 World Stroke Organization.

Knowledge-Based Environmental Context Modeling

NASA Astrophysics Data System (ADS)

Pukite, P. R.; Challou, D. J.

2017-12-01

As we move from the oil-age to an energy infrastructure based on renewables, the need arises for new educational tools to support the analysis of geophysical phenomena and their behavior and properties. Our objective is to present models of these phenomena to make them amenable for incorporation into more comprehensive analysis contexts. Starting at the level of a college-level computer science course, the intent is to keep the models tractable and therefore practical for student use. Based on research performed via an open-source investigation managed by DARPA and funded by the Department of Interior [1], we have adapted a variety of physics-based environmental models for a computer-science curriculum. The original research described a semantic web architecture based on patterns and logical archetypal building-blocks (see figure) well suited for a comprehensive environmental modeling framework. The patterns span a range of features that cover specific land, atmospheric and aquatic domains intended for engineering modeling within a virtual environment. The modeling engine contained within the server relied on knowledge-based inferencing capable of supporting formal terminology (through NASA JPL's Semantic Web for Earth and Environmental Technology (SWEET) ontology and a domain-specific language) and levels of abstraction via integrated reasoning modules. One of the key goals of the research was to simplify models that were ordinarily computationally intensive to keep them lightweight enough for interactive or virtual environment contexts. The breadth of the elements incorporated is well-suited for learning as the trend toward ontologies and applying semantic information is vital for advancing an open knowledge infrastructure. As examples of modeling, we have covered such geophysics topics as fossil-fuel depletion, wind statistics, tidal analysis, and terrain modeling, among others. Techniques from the world of computer science will be necessary to promote efficient use of our renewable natural resources. [1] C2M2L (Component, Context, and Manufacturing Model Library) Final Report, https://doi.org/10.13140/RG.2.1.4956.3604

Enhanced semantic interoperability by profiling health informatics standards.

PubMed

López, Diego M; Blobel, Bernd

2009-01-01

Several standards applied to the healthcare domain support semantic interoperability. These standards are far from being completely adopted in health information system development, however. The objective of this paper is to provide a method and suggest the necessary tooling for reusing standard health information models, by that way supporting the development of semantically interoperable systems and components. The approach is based on the definition of UML Profiles. UML profiling is a formal modeling mechanism to specialize reference meta-models in such a way that it is possible to adapt those meta-models to specific platforms or domains. A health information model can be considered as such a meta-model. The first step of the introduced method identifies the standard health information models and tasks in the software development process in which healthcare information models can be reused. Then, the selected information model is formalized as a UML Profile. That Profile is finally applied to system models, annotating them with the semantics of the information model. The approach is supported on Eclipse-based UML modeling tools. The method is integrated into a comprehensive framework for health information systems development, and the feasibility of the approach is demonstrated in the analysis, design, and implementation of a public health surveillance system, reusing HL7 RIM and DIMs specifications. The paper describes a method and the necessary tooling for reusing standard healthcare information models. UML offers several advantages such as tooling support, graphical notation, exchangeability, extensibility, semi-automatic code generation, etc. The approach presented is also applicable for harmonizing different standard specifications.

Descriptive Summaries of the Research, Development, Test and Evaluation, Army Appropriation. Supporting Data FY 1994, Budget Estimates Submitted to Congress, April 1993

DTIC Science & Technology

1993-04-01

determining effective group functioning, leader-group interaction , and decision making; (2) factors that determine effective, low error human performance...infectious disease and biological defense vaccines and drugs , vision, neurotxins, neurochemistry, molecular neurobiology, neurodegenrative diseases...Potential Rotor/Comprehensive Analysis Model for Rotor Aerodynamics-Johnson Aeronautics (FPR/CAMRAD-JA) code to predict Blade Vortex Interaction (BVI

A narrative synthesis of the applicability of the CaR-FA-X model in child and adolescent populations: a systematic review.

PubMed

Stewart, Tracy M; Hunter, Simon C; Rhodes, Sinéad M

2017-10-01

The CaR-FA-X model [Williams, J. M. G., Barnhofer, T., Crane, C., Hermans, D., Raes, F., Watkins, E., … Dalgleish, T. (2007). Autobiographical memory specificity and emotional disorder. Psychological Bulletin, 133(1), 122-148. doi: 10.1037/0033-2909.133.1.122 ] is the most prominent and comprehensive model of overgeneral autobiographical memory (OGM) and provides a framework for OGM. The model comprises of three mechanisms, capture and rumination, functional avoidance and impaired executive control. These can independently, or in interaction, account for OGM. This systematic review aims to evaluate the existing research on the CaR-FA-X model, and trauma exposure studies specific to child and adolescent populations. The following databases were searched: "PsychInfo", "PsychArticles", "PubMed", "Web of Science", "Medline", "SCOPUS" and "Embase" for English-language, peer-reviewed papers with samples

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model.

PubMed

Wang, Jianzhou; Niu, Tong; Wang, Rui

2017-03-02

The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the area. In this paper, firstly a comprehensive warning system is proposed, which consists of two vital indispensable modules, namely effective forecasting and scientific evaluation, respectively. For the forecasting module, a novel hybrid model combining the theory of data preprocessing and numerical optimization is first developed to implement effective forecasting for air pollutant concentration. Especially, in order to further enhance the accuracy and robustness of the warning system, interval forecasting is implemented to quantify the uncertainties generated by forecasts, which can provide significant risk signals by using point forecasting for decision-makers. For the evaluation module, a cloud model, based on probability and fuzzy set theory, is developed to perform comprehensive evaluations of air quality, which can realize the transformation between qualitative concept and quantitative data. To verify the effectiveness and efficiency of the warning system, extensive simulations based on air pollutants data from Dalian in China were effectively implemented, which illustrate that the warning system is not only remarkably high-performance, but also widely applicable.

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model

PubMed Central

Wang, Jianzhou; Niu, Tong; Wang, Rui

2017-01-01

The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the area. In this paper, firstly a comprehensive warning system is proposed, which consists of two vital indispensable modules, namely effective forecasting and scientific evaluation, respectively. For the forecasting module, a novel hybrid model combining the theory of data preprocessing and numerical optimization is first developed to implement effective forecasting for air pollutant concentration. Especially, in order to further enhance the accuracy and robustness of the warning system, interval forecasting is implemented to quantify the uncertainties generated by forecasts, which can provide significant risk signals by using point forecasting for decision-makers. For the evaluation module, a cloud model, based on probability and fuzzy set theory, is developed to perform comprehensive evaluations of air quality, which can realize the transformation between qualitative concept and quantitative data. To verify the effectiveness and efficiency of the warning system, extensive simulations based on air pollutants data from Dalian in China were effectively implemented, which illustrate that the warning system is not only remarkably high-performance, but also widely applicable. PMID:28257122

Advanced air revitalization system modeling and testing

NASA Technical Reports Server (NTRS)

Dall-Baumann, Liese; Jeng, Frank; Christian, Steve; Edeer, Marybeth; Lin, Chin

1990-01-01

To support manned lunar and Martian exploration, an extensive evaluation of air revitalization subsystems (ARS) is being conducted. The major operations under study include carbon dioxide removal and reduction; oxygen and nitrogen production, storage, and distribution; humidity and temperature control; and trace contaminant control. A comprehensive analysis program based on a generalized block flow model was developed to facilitate the evaluation of various processes and their interaction. ASPEN PLUS was used in modelling carbon dioxide removal and reduction. Several life support test stands were developed to test new and existing technologies for their potential applicability in space. The goal was to identify processes which use compact, lightweight equipment and maximize the recovery of oxygen and water. The carbon dioxide removal test stands include solid amine/vacuum desorption (SAVD), regenerative silver oxide chemisorption, and electrochemical carbon dioxide concentration (EDC). Membrane-based carbon dioxide removal and humidity control, catalytic reduction of carbon dioxide, and catalytic oxidation of trace contaminants were also investigated.

Contractor Sales Training: Providing the Skills Necessary to Sell Comprehensive Home Energy Upgrades

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

Billingsley, Megan; Stuart, Elizabeth

2011-08-17

Many comprehensive home energy efficiency programs rely on contractors as the customer-facing ‘front line’ to sell energy improvements. Adding sales skills to contractors’ existing technical expertise is key to converting more assessments into comprehensive home energy upgrades. Leading programs recognize the need to support contractors with sales and business training to help them succeed and to support the growth of the home performance industry for the long term. A number of contractor sales training efforts are emerging, including some programs that are seeing encouraging early results.

CSRQ Center Report on Elementary School Comprehensive School Reform Models: Educator's Summary

ERIC Educational Resources Information Center

Center for Data-Driven Reform in Education (NJ3), 2008

2008-01-01

Which comprehensive school reform programs have evidence of positive effects on elementary school achievement? To find out, this review summarizes evidence on comprehensive school reform (CSR) models in elementary schools, grades K-6. Comprehensive school reform models are programs used schoolwide to improve student achievement. They typically…

A computational modeling of semantic knowledge in reading comprehension: Integrating the landscape model with latent semantic analysis.

PubMed

Yeari, Menahem; van den Broek, Paul

2016-09-01

It is a well-accepted view that the prior semantic (general) knowledge that readers possess plays a central role in reading comprehension. Nevertheless, computational models of reading comprehension have not integrated the simulation of semantic knowledge and online comprehension processes under a unified mathematical algorithm. The present article introduces a computational model that integrates the landscape model of comprehension processes with latent semantic analysis representation of semantic knowledge. In three sets of simulations of previous behavioral findings, the integrated model successfully simulated the activation and attenuation of predictive and bridging inferences during reading, as well as centrality estimations and recall of textual information after reading. Analyses of the computational results revealed new theoretical insights regarding the underlying mechanisms of the various comprehension phenomena.

Depression, parenting attributes, and social support among adolescent mothers attending a teen tot program.

PubMed

Cox, Joanne E; Buman, Matthew; Valenzuela, Jennifer; Joseph, Natalie Pierre; Mitchell, Anna; Woods, Elizabeth R

2008-10-01

To investigate the associations between depressive symptoms in adolescent mothers and their perceived maternal caretaking ability and social support. Subjects were participants enrolled in a parenting program that provided comprehensive multidisciplinary medical care to teen mothers and their children. Baseline data of a prospective cohort study were collected by interview at 2 weeks postpartum and follow-up, and standardized measures on entry into postnatal parenting groups. Demographic data included education, social supports, psychological history, family history and adverse life events. Depressive symptoms were measured with the Center for Epidemiological Studies Depression Scale for Children short version (CES-DC). The Maternal Self-report Inventory (MSRI) measured perceived maternal self-esteem, and Duke-UNC Functional Social Support Questionnaire measured social support. Data were analyzed with bivariate analyses and linear regression modeling focusing on depressive symptoms as the outcome variable. In the 168 teen mothers, mean age 17.6 +/- 1.2 years, African American (50%), Latina (31%) or Biracial (13%), the prevalence of depressive symptoms was 53.6%. In the linear model, controlling for baby's age, teen's age, ethnicity, Temporary Aid for Families with Dependent Children (TAFDC), and previous suicidal gesture, increased depressive symptoms were associated with decreased perceived maternal caretaking ability (P = 0.003) and lower social support (P < 0.001). In a linear model controlling for the same variables, MSRI total score (P = 0.001) and social support (P < 0.001) contributed significantly to the model as did the interaction term (MSRI x Social Support, P = 0.044). Depression is associated with decreased maternal confidence in their ability to parent and decreased perceived maternal social support, with a possible moderating effect of social support on the relationship of maternal self-esteem and depression.

Development of the Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills program for adults on the autism spectrum: Results of initial study.

PubMed

Baker-Ericzén, Mary J; Fitch, Meghan A; Kinnear, Mikaela; Jenkins, Melissa M; Twamley, Elizabeth W; Smith, Linda; Montano, Gabriel; Feder, Joshua; Crooke, Pamela J; Winner, Michelle G; Leon, Juan

2018-01-01

The population of adults on the autism spectrum continues to increase, and vocational outcomes are particularly poor. Longitudinal studies of adults with autism spectrum and without intellectual disability have shown consistent and persistent deficits across cognitive, social, and vocational domains, indicating a need for effective treatments of functional disabilities as each impact employment. This initial pilot study is an open trial investigation of the feasibility, acceptability, and initial estimates of outcomes for the newly developed Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills intervention, a manualized "soft skills" curriculum, to enhance both cognitive and social development in adults with autism spectrum. A total of eight adults with autism spectrum, without intellectual disability (78% males), participated in the study. Results support the original hypothesis that adults with autism spectrum can improve both cognitive (i.e. executive functioning) and social cognitive (i.e. social thinking and social communication) abilities. Further Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills was found to be feasible, acceptable, and highly satisfactory for participants and parents. Employment rates more than doubled post-intervention, with an increase from 22% to 56% of participants employed. Conclusion is that Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills has promise as an intervention that can be easily embedded into exiting supported employment vocational training programs to improve cognitive, social, and vocational outcomes.

Development of the Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills program for adults on the autism spectrum: Results of initial study

PubMed Central

Baker-Ericzén, Mary J; Fitch, Meghan A; Kinnear, Mikaela; Jenkins, Melissa M; Twamley, Elizabeth W; Smith, Linda; Montano, Gabriel; Feder, Joshua; Crooke, Pamela J; Winner, Michelle G; Leon, Juan

2018-01-01

The population of adults on the autism spectrum continues to increase, and vocational outcomes are particularly poor. Longitudinal studies of adults with autism spectrum and without intellectual disability have shown consistent and persistent deficits across cognitive, social, and vocational domains, indicating a need for effective treatments of functional disabilities as each impact employment. This initial pilot study is an open trial investigation of the feasibility, acceptability, and initial estimates of outcomes for the newly developed Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills intervention, a manualized “soft skills” curriculum, to enhance both cognitive and social development in adults with autism spectrum. A total of eight adults with autism spectrum, without intellectual disability (78% males), participated in the study. Results support the original hypothesis that adults with autism spectrum can improve both cognitive (i.e. executive functioning) and social cognitive (i.e. social thinking and social communication) abilities. Further Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills was found to be feasible, acceptable, and highly satisfactory for participants and parents. Employment rates more than doubled post-intervention, with an increase from 22% to 56% of participants employed. Conclusion is that Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills has promise as an intervention that can be easily embedded into exiting supported employment vocational training programs to improve cognitive, social, and vocational outcomes. PMID:29034696

Using Primary Language Support via Computer to Improve Reading Comprehension Skills of First-Grade English Language Learners

ERIC Educational Resources Information Center

Rodriguez, Cathi Draper; Filler, John; Higgins, Kyle

2012-01-01

Through this exploratory study the authors investigated the effects of primary language support delivered via computer on the English reading comprehension skills of English language learners. Participants were 28 First-grade students identified as Limited English Proficient. The primary language of all participants was Spanish. Students were…

Building Villages To Raise Our Children: Funding and Resources. Guides to Comprehensive Family Support Services.

ERIC Educational Resources Information Center

Fay, Juliette; And Others

This guide, Part 2 of a 6-volume guide, is designed to assist program managers in maintaining comprehensive family-support programs through creative funding. It stresses building a portfolio of resources to serve the families within the communities. It also examines the general principles of financing strategy, potential funding sources, tips on…

Leading the Comprehensive Community College Library: Defining, Aligning, and Supporting Innovation and Change

ERIC Educational Resources Information Center

Reed, Donna L.

2012-01-01

The purpose of this multi-case study was to describe how library deans and directors at large comprehensive community colleges strategically advocate for and support instructional and technological innovation despite the reality of limited resources and the stress caused by recurring funding crises in higher education. It further sought to examine…

Effect of Memory Support and Elicited Production on Fast Mapping of New Words by Adolescents with Down Syndrome

ERIC Educational Resources Information Center

Chapman, Robin S.; Sindberg, Heidi; Bridge, Cynthia; Gigstead, Katherine; Hesketh, Linda

2006-01-01

Purpose: The purpose of this study was to determine whether memory support and elicited production differentially benefited fast mapping of new vocabulary (comprehension, production accuracy, and speed) in adolescents with Down syndrome (DS) compared with typically developing (TD) children matched for syntax comprehension. The study also examined…

iSTART Therefore I Understand: But Metacognitive Supports Did Not Enhance Comprehension Gains

ERIC Educational Resources Information Center

McCarthy, Kathryn S.; Jacovina, Matthew E.; Snow, Erica L.; Guerrero, Tricia A.; McNamara, Danielle S.

2017-01-01

iSTART is an intelligent tutoring system designed to provide self-explanation instruction and practice to improve students' comprehension of complex, challenging text. This study examined the effects of extended game-based practice within the system as well as the effects of two metacognitive supports implemented within this practice. High school…

Comprehensive Behavior Management: Individualized, Classroom, and Schoolwide Approaches. Second Edition

ERIC Educational Resources Information Center

Martella, Ronald C.; Nelson, J. Ron; Marchand-Martella, Nancy E.; O'Reilly, Mark

2011-01-01

"Comprehensive Behavior Management: Schoolwide, Classroom, and Individualized Approaches" supports teachers in preventing management problems and responding to unwanted behavior when it occurs in classrooms. The text offers a comprehensive presentation of three levels of behavior management strategies: individual, classroom, and schoolwide, all…

Modification of Comprehension Deficits in Learning Disabled Children.

ERIC Educational Resources Information Center

Swanson, Lee

1981-01-01

Three experiments investigated the effects of self recording, tokens and contingent free time on learning disabled children's reading comprehension performance. Results of these three experiments supported recent findings that only minimal changes occur on comprehension performance when left as an untargeted dependent behavior. (Author)

An EGR performance evaluation and decision-making approach based on grey theory and grey entropy analysis

PubMed Central

2018-01-01

Exhaust gas recirculation (EGR) is one of the main methods of reducing NOX emissions and has been widely used in marine diesel engines. This paper proposes an optimized comprehensive assessment method based on multi-objective grey situation decision theory, grey relation theory and grey entropy analysis to evaluate the performance and optimize rate determination of EGR, which currently lack clear theoretical guidance. First, multi-objective grey situation decision theory is used to establish the initial decision-making model according to the main EGR parameters. The optimal compromise between diesel engine combustion and emission performance is transformed into a decision-making target weight problem. After establishing the initial model and considering the characteristics of EGR under different conditions, an optimized target weight algorithm based on grey relation theory and grey entropy analysis is applied to generate the comprehensive evaluation and decision-making model. Finally, the proposed method is successfully applied to a TBD234V12 turbocharged diesel engine, and the results clearly illustrate the feasibility of the proposed method for providing theoretical support and a reference for further EGR optimization. PMID:29377956

An EGR performance evaluation and decision-making approach based on grey theory and grey entropy analysis.

PubMed

Zu, Xianghuan; Yang, Chuanlei; Wang, Hechun; Wang, Yinyan

2018-01-01

Exhaust gas recirculation (EGR) is one of the main methods of reducing NOX emissions and has been widely used in marine diesel engines. This paper proposes an optimized comprehensive assessment method based on multi-objective grey situation decision theory, grey relation theory and grey entropy analysis to evaluate the performance and optimize rate determination of EGR, which currently lack clear theoretical guidance. First, multi-objective grey situation decision theory is used to establish the initial decision-making model according to the main EGR parameters. The optimal compromise between diesel engine combustion and emission performance is transformed into a decision-making target weight problem. After establishing the initial model and considering the characteristics of EGR under different conditions, an optimized target weight algorithm based on grey relation theory and grey entropy analysis is applied to generate the comprehensive evaluation and decision-making model. Finally, the proposed method is successfully applied to a TBD234V12 turbocharged diesel engine, and the results clearly illustrate the feasibility of the proposed method for providing theoretical support and a reference for further EGR optimization.

Social Network Supported Process Recommender System

PubMed Central

Ye, Yanming; Yin, Jianwei; Xu, Yueshen

2014-01-01

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309

A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds

PubMed Central

Dorninger, Peter; Pfeifer, Norbert

2008-01-01

Three dimensional city models are necessary for supporting numerous management applications. For the determination of city models for visualization purposes, several standardized workflows do exist. They are either based on photogrammetry or on LiDAR or on a combination of both data acquisition techniques. However, the automated determination of reliable and highly accurate city models is still a challenging task, requiring a workflow comprising several processing steps. The most relevant are building detection, building outline generation, building modeling, and finally, building quality analysis. Commercial software tools for building modeling require, generally, a high degree of human interaction and most automated approaches described in literature stress the steps of such a workflow individually. In this article, we propose a comprehensive approach for automated determination of 3D city models from airborne acquired point cloud data. It is based on the assumption that individual buildings can be modeled properly by a composition of a set of planar faces. Hence, it is based on a reliable 3D segmentation algorithm, detecting planar faces in a point cloud. This segmentation is of crucial importance for the outline detection and for the modeling approach. We describe the theoretical background, the segmentation algorithm, the outline detection, and the modeling approach, and we present and discuss several actual projects. PMID:27873931

A predictive model of Health Related Quality of life of parents of chronically ill children: the importance of care-dependency of their child and their support system.

PubMed

Hatzmann, Janneke; Maurice-Stam, Heleen; Heymans, Hugo S A; Grootenhuis, Martha A

2009-07-28

Parents of chronically ill children are at risk for a lower Health Related Quality of Life (HRQoL). Insight in the dynamics of factors influencing parental HRQoL is necessary for development of interventions. Aim of the present study was to explore the influence of demographic and disease related factors on parental HRQoL, mediated by employment, income, leisure time, holiday and emotional support in a comprehensive model. In a cross-sectional design, 543 parents of chronically ill children completed questionnaires. A conceptual model of parental HRQoL was developed. Structural equation modeling was performed to explore the relations in the conceptual model, and to test if the model fitted the data. The model fitted the data closely (CHISQ(14) = 11.37, p = 0.66; RMSEA = 0.0, 90%CI [0.00;0.034]. The effect of socio-demographic and medical data on HRQoL was mediated by days on holiday (MCS: beta = .21) and emotional support (PCS: beta = .14; MCS: beta = .28). Also, female gender (beta = -.10), age (beta = .10), being chronically ill as a parent (beta = -.34), and care dependency of the child (beta = -.14; beta = -.15) were directly related to parental HRQoL. The final model was slightly different from the conceptual model. Main factors explaining parental HRQoL seemed to be emotional support, care dependency, days on holiday and being chronically ill as a parent. Holiday and emotional support mediated the effect of demographic and disease-related factors on HRQoL. Hours of employment, leisure time and household income did not mediate between background characteristics and HRQoL, contrasting the hypotheses.

Interdisciplinary methods and practices for integrating social sciences into studies on catchment evolution

NASA Astrophysics Data System (ADS)

Carr, G.

2017-12-01

Real world problems rarely regard disciplinary boundaries. This is particularly apparent in catchments, where knowledge and understanding from many different research disciplines is essential to address the water resource challenges facing society. People are an integral part of any catchment. Therefore a comprehensive understanding of catchment evolution needs to include the social system. Socio-hydrological models that can simulate the co-evolution of human-water systems, for example, with regards to floods and droughts, show great promise in their capacity to capture and understand such systems. Yet, to develop socio-hydrological models into more comprehensive analysis tools that adequately capture the social components of the system, researchers need to embrace interdisciplinary working and multi-disciplinary research teams. By exploring the development of interdisciplinary research in a water programme, several key practices have been identified that support interdisciplinary collaboration. These include clarification where researchers discuss and re-explain their research or position to expose all the assumptions being made until all involved understand it; harnessing differences where different opinions and types of knowledge are treated respectfully to minimise tensions and disputes; and boundary setting where defensible limits to the research enquiry are set with consideration for the restrictions (funds, skills, resources) through negotiation and discussion between the research team members. Focussing on these research practices while conducting interdisciplinary collaborative research into the human-water system, is anticipated to support the development of more integrated approaches and models.

Mental Health and Educational Experiences Among Black Youth: A Latent Class Analysis.

PubMed

Rose, Theda; Lindsey, Michael A; Xiao, Yunyu; Finigan-Carr, Nadine M; Joe, Sean

2017-11-01

Disproportionately lower educational achievement, coupled with higher grade retention, suspensions, expulsions, and lower school bonding make educational success among Black adolescents a major public health concern. Mental health is a key developmental factor related to educational outcomes among adolescents; however, traditional models of mental health focus on absence of dysfunction as a way to conceptualize mental health. The dual-factor model of mental health incorporates indicators of both subjective wellbeing and psychopathology, supporting more recent research that both are needed to comprehensively assess mental health. This study applied the dual-factor model to measure mental health using the National Survey of American Life-Adolescent Supplement (NSAL-A), a representative cross-sectional survey. The sample included 1170 Black adolescents (52% female; mean age 15). Latent class analysis was conducted with positive indicators of subjective wellbeing (emotional, psychological, and social) as well as measures of psychopathology. Four mental health groups were identified, based on having high or low subjective wellbeing and high or low psychopathology. Accordingly, associations between mental health groups and educational outcomes were investigated. Significant associations were observed in school bonding, suspensions, and grade retention, with the positive mental health group (high subjective wellbeing, low psychopathology) experiencing more beneficial outcomes. The results support a strong association between school bonding and better mental health and have implications for a more comprehensive view of mental health in interventions targeting improved educational experiences and mental health among Black adolescents.

Simplified rotor load models and fatigue damage estimates for offshore wind turbines.

PubMed

Muskulus, M

2015-02-28

The aim of rotor load models is to characterize and generate the thrust loads acting on an offshore wind turbine. Ideally, the rotor simulation can be replaced by time series from a model with a few parameters and state variables only. Such models are used extensively in control system design and, as a potentially new application area, structural optimization of support structures. Different rotor load models are here evaluated for a jacket support structure in terms of fatigue lifetimes of relevant structural variables. All models were found to be lacking in accuracy, with differences of more than 20% in fatigue load estimates. The most accurate models were the use of an effective thrust coefficient determined from a regression analysis of dynamic thrust loads, and a novel stochastic model in state-space form. The stochastic model explicitly models the quasi-periodic components obtained from rotational sampling of turbulent fluctuations. Its state variables follow a mean-reverting Ornstein-Uhlenbeck process. Although promising, more work is needed on how to determine the parameters of the stochastic model and before accurate lifetime predictions can be obtained without comprehensive rotor simulations. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Development of Future Scenario Emission Inventories for East Asia in Support of Multiple Modeling Studies

NASA Astrophysics Data System (ADS)

Kim, Y.; Woo, J. H.; Choi, K. C.; Lee, J. B.; Song, C. K.; Kim, S. K.; Hong, J.; Hong, S. C.; Zhang, Q.; Hong, C.; Tong, D.

2015-12-01

Future emission scenarios based on up-to-date regional socio-economic and control policy information were developed in support of climate-air quality integrated modeling research over East Asia. Two IPCC-participated Integrated Assessment Models(IAMs) were used to developed those scenario pathways. The two emission processing systems, KU-EPS and SMOKE-Asia, were used to convert these future scenario emissions to comprehensive chemical transport model-ready form. The NIER/KU-CREATE (Comprehensive Regional Emissions inventory for Atmospheric Transport Experiment) served as the regional base-year emission inventory. For anthropogenic emissions, it has 54 fuel classes, 201 sub-sectors and 13 pollutants, including CO2, CH4, N2O, SO2, NOx, CO, NMVOC, NH3, OC, BC, PM10, PM2.5, and mercury. Fast energy growth and aggressive penetration of the control measures make emissions projection very active for East Asia. Despite of more stringent air pollution control policies by the governments, however, air quality over the region seems not been improved as much - even worse in many cases. The needs of more scientific understanding of inter-relationship among emissions, transport, chemistry over the region are very high to effectively protect public health and ecosystems against ozone, fine particles, and other toxic pollutants in the air. After developing these long-term future emissions, therefore, we also tried to apply our future scenarios to develop the present emissions inventory for chemical weather forecasting and aircraft field campaign. On site, we will present; 1) the future scenario development framework and process methodologies, 2) initial development results of the future emission pathways, 3) present emission inventories from short-term projection, and 4) air quality modeling performance improvements over the region.

Instrumental support to facilitate hepatitis C treatment adherence: working around shortfalls in shared-care.

PubMed

Sublette, Victoria A; Hopwood, Max; George, Jacob; Smith, Sian K; Perry, Kathryn Nicholson; McCaffery, Kirsten; Douglas, Mark W

2015-01-01

Adherence to treatment for hepatitis C virus (HCV) infection is associated with the successful eradication of infection. However, patients often have difficulty adhering to HCV treatment because of factors such as the psychiatric side effects of regimens and social disadvantage. Commonly, health professionals including specialist physicians, nurses, social workers and psychologists work together under a multidisciplinary model of shared-care to support patients' adherence to HCV treatment. In some HCV treatment clinics, shared-care is not always available, or only partially implemented and this has implications for patient adherence. To explore the facilitators of adherence, an interview-based study was conducted in 2012 with a purposive sample of Australian physicians and nurses (N = 20). The findings reveal that when comprehensive shared-care was limited or unavailable, physicians and nurses filled in the gaps by assuming roles outside of their expertise to help patients adhere to HCV treatment. Physicians and nurses applied instrumental support strategies based on psychosocial interventions, namely patient advocacy, pragmatic problem-solving, treatment engagement and emotional support. These strategies were provided by dedicated physicians and nurses to address shortfalls in multidisciplinary shared-care. Although these interventions were reported to assist adherence, there is an increased risk of complications when physicians and nurses move beyond the bounds of their disciplinary training, for example, to assess and manage patients' psychiatric side effects or advocate on their behalf for social services. Future research should measure the effectiveness of instrumental support strategies on HCV treatment adherence, and explore the costs associated with physicians and nurses providing instrumental support in the absence of comprehensive multidisciplinary shared-care.

Death Penalty Decisions: Instruction Comprehension, Attitudes, and Decision Mediators.

PubMed

Patry, Marc W; Penrod, Steven D

2013-01-01

A primary goal of this research was to empirically evaluate a set of assumptions, advanced in the Supreme Court's ruling in Buchanan v. Angelone (1998), about jury comprehension of death penalty instructions. Further, this research examined the use of evidence in capital punishment decision making by exploring underlying mediating factors upon which death penalty decisions may be based. Manipulated variables included the type of instructions and several variations of evidence. Study 1 was a paper and pencil study of 245 undergraduate mock jurors. The experimental design was an incomplete 4×2×2×2×2 factorial model resulting in 56 possible conditions. Manipulations included four different types of instructions, presence of a list of case-specific mitigators to accompany the instructions, and three variations in the case facts: age of the defendant, bad prior record, and defendant history of emotional abuse. Study 2 was a fully-crossed 2×2×2×2×2 experiment with four deliberating mock juries per cell. Manipulations included jury instructions (original or revised), presence of a list of case-specific mitigators, defendant history of emotional abuse, bad prior record, and heinousness of the crime. The sample of 735 jury-eligible participants included 130 individuals who identified themselves as students. Participants watched one of 32 stimulus videotapes based on a replication of a capital sentencing hearing. The present findings support previous research showing low comprehension of capital penalty instructions. Further, we found that higher instruction comprehension was associated with higher likelihood of issuing life sentence decisions. The importance of instruction comprehension is emphasized in a social cognitive model of jury decision making at the sentencing phase of capital cases.

Death Penalty Decisions: Instruction Comprehension, Attitudes, and Decision Mediators

PubMed Central

Patry, Marc W.; Penrod, Steven D.

2013-01-01

A primary goal of this research was to empirically evaluate a set of assumptions, advanced in the Supreme Court’s ruling in Buchanan v. Angelone (1998), about jury comprehension of death penalty instructions. Further, this research examined the use of evidence in capital punishment decision making by exploring underlying mediating factors upon which death penalty decisions may be based. Manipulated variables included the type of instructions and several variations of evidence. Study 1 was a paper and pencil study of 245 undergraduate mock jurors. The experimental design was an incomplete 4×2×2×2×2 factorial model resulting in 56 possible conditions. Manipulations included four different types of instructions, presence of a list of case-specific mitigators to accompany the instructions, and three variations in the case facts: age of the defendant, bad prior record, and defendant history of emotional abuse. Study 2 was a fully-crossed 2×2×2×2×2 experiment with four deliberating mock juries per cell. Manipulations included jury instructions (original or revised), presence of a list of case-specific mitigators, defendant history of emotional abuse, bad prior record, and heinousness of the crime. The sample of 735 jury-eligible participants included 130 individuals who identified themselves as students. Participants watched one of 32 stimulus videotapes based on a replication of a capital sentencing hearing. The present findings support previous research showing low comprehension of capital penalty instructions. Further, we found that higher instruction comprehension was associated with higher likelihood of issuing life sentence decisions. The importance of instruction comprehension is emphasized in a social cognitive model of jury decision making at the sentencing phase of capital cases. PMID:24072981

CONSERVB: A numerical method to compute soil water content and temperature profiles under a bare surface

NASA Technical Reports Server (NTRS)

Vanbavel, C. H. M.; Lascano, R. J.

1982-01-01

A comprehensive, yet fairly simple model of water disposition in a bare soil profile under the sequential impact of rain storms and other atmospheric influences, as they occur from hour to hour is presented. This model is intended mostly to support field studies of soil moisture dynamics by our current team, to serve as a background for the microwave measurements, and, eventually, to serve as a point of departure for soil moisture predictions for estimates based in part upon airborne measurements. The main distinction of the current model is that it accounts not only for the moisture flow in the soil-atmosphere system, but also for the energy flow and, hence, calculates system temperatures. Also, the model is of a dynamic nature, capable of supporting any required degree of resolution in time and space. Much critical testing of the sample is needed before the complexities of the hydrology of a vegetated surface can be related meaningfully to microwave observations.

Surgical Process Improvement: Impact of a Standardized Care Model With Electronic Decision Support to Improve Compliance With SCIP Inf-9.

PubMed

Cook, David J; Thompson, Jeffrey E; Suri, Rakesh; Prinsen, Sharon K

2014-01-01

The absence of standardization in surgical care process, exemplified in a "solution shop" model, can lead to unwarranted variation, increased cost, and reduced quality. A comprehensive effort was undertaken to improve quality of care around indwelling bladder catheter use following surgery by creating a "focused factory" model within the cardiac surgical practice. Baseline compliance with Surgical Care Improvement Inf-9, removal of urinary catheter by the end of surgical postoperative day 2, was determined. Comparison of baseline data to postintervention results showed clinically important reductions in the duration of indwelling bladder catheters as well as marked reduction in practice variation. Following the intervention, Surgical Care Improvement Inf-9 guidelines were met in 97% of patients. Although clinical quality improvement was notable, the process to accomplish this-identification of patients suitable for standardized pathways, protocol application, and electronic systems to support the standardized practice model-has potentially greater relevance than the specific clinical results. © 2013 by the American College of Medical Quality.

Flaws in the Flow: The Weakness of Unstructured Business Process Modeling Languages Dealing with Data

NASA Astrophysics Data System (ADS)

Combi, Carlo; Gambini, Mauro

Process-Aware Information Systems (PAISs) need more flexibility for supporting complex and varying human activities. PAISs usually support business process design by means of graphical graph-oriented business process modeling languages (BPMLs) in conjunction with textual executable specifications. In this paper we discuss the flexibility of such BPMLs which are the main interface for users that need to change the behavior of PAISs. In particular, we show how common BPMLs features, that seem good when considered alone, have a negative impact on flexibility when they are combined together for providing a complete executable specification. A model has to be understood before being changed and a change is made only when the benefits outweigh the effort. Two main factors have a great impact on comprehensibility and ease of change: concurrency and modularity. We show why BPMLs usually offer a limited concurrency model and lack of modularity; finally we discuss how to overcome these problems.

Measuring school climate in high schools: a focus on safety, engagement, and the environment.

PubMed

Bradshaw, Catherine P; Waasdorp, Tracy E; Debnam, Katrina J; Johnson, Sarah Lindstrom

2014-09-01

School climate has been linked to multiple student behavioral, academic, health, and social-emotional outcomes. The US Department of Education (USDOE) developed a 3-factor model of school climate comprised of safety, engagement, and environment. This article examines the factor structure and measurement invariance of the USDOE model. Drawing upon 2 consecutive waves of data from over 25,000 high school students (46% minority), a series of exploratory and confirmatory factor analyses examined the fit of the Maryland Safe and Supportive Schools Climate Survey with the USDOE model. The results indicated adequate model fit with the theorized 3-factor model of school climate, which included 13 subdomains: safety (perceived safety, bullying and aggression, and drug use); engagement (connection to teachers, student connectedness, academic engagement, school connectedness, equity, and parent engagement); environment (rules and consequences, physical comfort, and support, disorder). We also found consistent measurement invariance with regard to student sex, grade level, and ethnicity. School-level interclass correlation coefficients ranged from 0.04 to .10 for the scales. Findings supported the USDOE 3-factor model of school climate and suggest measurement invariance and high internal consistency of the 3 scales and 13 subdomains. These results suggest the 56-item measure may be a potentially efficient, yet comprehensive measure of school climate. © 2014, American School Health Association.

Effect of organization-level variables on differential employee participation in 10 federal worksite health promotion programs.

PubMed

Crump, C E; Earp, J A; Kozma, C M; Hertz-Picciotto, I

1996-05-01

Guided by a conceptual model, the authors used both qualitative data (e.g., individual interviews, focus groups) and quantitative data from an employee survey (N = 3,388) in 10 federal agencies to investigate whether organization context and implementation process affected participation in worksite health promotion and disease prevention (HPDP) activities among demographic subgroups. Overall, employees on average participated in fewer than two agency-supported health-related activities per year (17% in fitness, 40% in health risk assessment activities). Employees participated more where coworkers endorsed such programs. Minority employees and employees in lower level positions were more likely to participate in fitness activities when organizations had a more comprehensive program structure, engaged in more marketing strategies, gave time off to employees to participate, or had on-site facilities. Management support for the program was related to participation by employees who were male, white, and had upper level positions. The data supported the proposed model; also confirmed was two predicted relationships between model constructs, which provided a better understanding of differential participation by employee groups.

Stakeholders' Perspectives towards the Use of the Comprehensive Health Assessment Program (CHAP) for Adults with Intellectual Disabilities in Manitoba.

PubMed

Shooshtari, Shahin; Temple, Beverley; Waldman, Celeste; Abraham, Sneha; Ouellette-Kuntz, Héléne; Lennox, Nicholas

2017-07-01

No standardized tool is used in Canada for comprehensive health assessments of adults with intellectual disabilities. This study was conducted to determine the feasibility of implementing the Comprehensive Health Assessment Program (CHAP) in Manitoba, Canada. This was a qualitative study using a purposive sample of physicians, nurse practitioners, support workers and families. Data were collected through individual interviews and focus groups and were analysed using content analysis. Use of the CHAP was perceived as beneficial for persons with intellectual disabilities. Improved continuity of care was of the reported benefits. Six barriers for the future implementation of the CHAP were identified including the time required to complete the CHAP, and the perceived lack of physicians' willingness to do comprehensive assessments. The future implementation of the CHAP was strongly supported. For its successful implementation, training of healthcare professionals and support staff and change in regulations and policies were recommended. © 2016 John Wiley & Sons Ltd.

Theory and experiments in model-based space system anomaly management

NASA Astrophysics Data System (ADS)

Kitts, Christopher Adam

This research program consists of an experimental study of model-based reasoning methods for detecting, diagnosing and resolving anomalies that occur when operating a comprehensive space system. Using a first principles approach, several extensions were made to the existing field of model-based fault detection and diagnosis in order to develop a general theory of model-based anomaly management. Based on this theory, a suite of algorithms were developed and computationally implemented in order to detect, diagnose and identify resolutions for anomalous conditions occurring within an engineering system. The theory and software suite were experimentally verified and validated in the context of a simple but comprehensive, student-developed, end-to-end space system, which was developed specifically to support such demonstrations. This space system consisted of the Sapphire microsatellite which was launched in 2001, several geographically distributed and Internet-enabled communication ground stations, and a centralized mission control complex located in the Space Technology Center in the NASA Ames Research Park. Results of both ground-based and on-board experiments demonstrate the speed, accuracy, and value of the algorithms compared to human operators, and they highlight future improvements required to mature this technology.

Profit Analysis Model of Smart Item Implementation in Integrated Supply Chain Process

NASA Astrophysics Data System (ADS)

Tritularsih, Yustina; Rinanto, Andhy; Prasetyo, Hoedi; Nur Rosyidi, Cucuk

2018-03-01

Nowadays all links of the entire supply chain need to integrate their different infrastructures and they have better control of them to drive better profits. This integration should offer the ability for companies in order to have an overall and transparent insight to its supply chain activities. An intelligent supply chain which is mainly supported by Smart Items technology can satisfy the need of those integration. By means of Smart Items, a company can benefit some advantages. Those are cost reduction and value creation. However, currently there is no comprehensive Smart Item infrastructure exists yet so it is difficult to calculate the true benefit information. This paper attempts to recommend a model for estimating the benefits of implementing Smart Items in a company which has an integrated supply chain process. The integrated supply chain means that three echelons (supplier, shipper and retailer) of supply chain are belonged to a company. The proposed model was used to determine the shrinkage value and RFID tag price which can give the maximum benefit of Smart Items implementation. A numerical example is also provided to give a better comprehension on model calculation.

Evaluating Treatment and Generalization Patterns of Two Theoretically Motivated Sentence Comprehension Therapies.

PubMed

Des Roches, Carrie A; Vallila-Rohter, Sofia; Villard, Sarah; Tripodis, Yorghos; Caplan, David; Kiran, Swathi

2016-12-01

The current study examined treatment outcomes and generalization patterns following 2 sentence comprehension therapies: object manipulation (OM) and sentence-to-picture matching (SPM). Findings were interpreted within the framework of specific deficit and resource reduction accounts, which were extended in order to examine the nature of generalization following treatment of sentence comprehension deficits in aphasia. Forty-eight individuals with aphasia were enrolled in 1 of 8 potential treatment assignments that varied by task (OM, SPM), complexity of trained sentences (complex, simple), and syntactic movement (noun phrase, wh-movement). Comprehension of trained and untrained sentences was probed before and after treatment using stimuli that differed from the treatment stimuli. Linear mixed-model analyses demonstrated that, although both OM and SPM treatments were effective, OM resulted in greater improvement than SPM. Analyses of covariance revealed main effects of complexity in generalization; generalization from complex to simple linguistically related sentences was observed both across task and across movement. Results are consistent with the complexity account of treatment efficacy, as generalization effects were consistently observed from complex to simpler structures. Furthermore, results provide support for resource reduction accounts that suggest that generalization can extend across linguistic boundaries, such as across movement type.

How Many U.S. High School Students Have a Foreign Language Reading "Disability"? Reading Without Meaning and the Simple View.

PubMed

Sparks, Richard L; Luebbers, Julie

Conventional wisdom suggests that students classified as learning disabled will exhibit difficulties with foreign language (FL) learning, but evidence has not supported a relationship between FL learning problems and learning disabilities. The simple view of reading model posits that reading comprehension is the product of word decoding and language comprehension and that there are good readers and 3 types of poor readers-dyslexic, hyperlexic, and garden variety-who exhibit different profiles of strengths and/or deficits in word decoding and language comprehension. In this study, a random sample of U.S. high school students completing first-, second-, and third-year Spanish courses were administered standardized measures of Spanish word decoding and reading comprehension, compared with monolingual Spanish readers from first to eleventh grades, and classified into reader types according to the simple view of reading. The majority of students fit the hyperlexic profile, and no participants fit the good reader profile until they were compared with first- and second-grade monolingual Spanish readers. Findings call into question the practice of diagnosing an FL "disability" before a student engages in FL study.

Neuronal basis of speech comprehension.

PubMed

Specht, Karsten

2014-01-01

Verbal communication does not rely only on the simple perception of auditory signals. It is rather a parallel and integrative processing of linguistic and non-linguistic information, involving temporal and frontal areas in particular. This review describes the inherent complexity of auditory speech comprehension from a functional-neuroanatomical perspective. The review is divided into two parts. In the first part, structural and functional asymmetry of language relevant structures will be discus. The second part of the review will discuss recent neuroimaging studies, which coherently demonstrate that speech comprehension processes rely on a hierarchical network involving the temporal, parietal, and frontal lobes. Further, the results support the dual-stream model for speech comprehension, with a dorsal stream for auditory-motor integration, and a ventral stream for extracting meaning but also the processing of sentences and narratives. Specific patterns of functional asymmetry between the left and right hemisphere can also be demonstrated. The review article concludes with a discussion on interactions between the dorsal and ventral streams, particularly the involvement of motor related areas in speech perception processes, and outlines some remaining unresolved issues. This article is part of a Special Issue entitled Human Auditory Neuroimaging. Copyright © 2013 Elsevier B.V. All rights reserved.

Investigation of the effects of sleeper-passing impacts on the high-speed train

NASA Astrophysics Data System (ADS)

Wu, Xingwen; Cai, Wubin; Chi, Maoru; Wei, Lai; Shi, Huailong; Zhu, Minhao

2015-12-01

The sleeper-passing impact has always been considered negligible in normal conditions, while the experimental data obtained from a High-speed train in a cold weather expressed significant sleeper-passing impacts on the axle box, bogie frame and car body. Therefore, in this study, a vertical coupled vehicle/track dynamic model was developed to investigate the sleeper-passing impacts and its effects on the dynamic performance of the high-speed train. In the model, the dynamic model of vehicle is established with 10 degrees of freedom. The track model is formulated with two rails supported on the discrete supports through the finite element method. The contact forces between the wheel and rail are estimated using the non-linear Hertz contact theory. The parametric studies are conducted to analyse effects of both the vehicle speeds and the discrete support stiffness on the sleeper-passing impacts. The results show that the sleeper-passing impacts become extremely significant with the increased support stiffness of track, especially when the frequencies of sleeper-passing impacts approach to the resonance frequencies of wheel/track system. The damping of primary suspension can effectively lower the magnitude of impacts in the resonance speed ranges, but has little effect on other speed ranges. Finally, a more comprehensively coupled vehicle/track dynamic model integrating with a flexible wheel set is developed to discuss the sleeper-passing-induced flexible vibration of wheel set.

Inferential revision in narrative texts: An ERP study.

PubMed

Pérez, Ana; Cain, Kate; Castellanos, María C; Bajo, Teresa

2015-11-01

We evaluated the process of inferential revision during text comprehension in adults. Participants with high or low working memory read short texts, in which the introduction supported two plausible concepts (e.g., 'guitar/violin'), although one was more probable ('guitar'). There were three possible continuations: a neutral sentence, which did not refer back to either concept; a no-revise sentence, which referred to a general property consistent with either concept (e.g., '…beautiful curved body'); and a revise sentence, which referred to a property that was consistent with only the less likely concept (e.g., '…matching bow'). Readers took longer to read the sentence in the revise condition, indicating that they were able to evaluate their comprehension and detect a mismatch. In a final sentence, a target noun referred to the alternative concept supported in the revise condition (e.g., 'violin'). ERPs indicated that both working memory groups were able to evaluate their comprehension of the text (P3a), but only high working memory readers were able to revise their initial incorrect interpretation (P3b) and integrate the new information (N400) when reading the revise sentence. Low working memory readers had difficulties inhibiting the no-longer-relevant interpretation and thus failed to revise their situation model, and they experienced problems integrating semantically related information into an accurate memory representation.

The Wernicke area: Modern evidence and a reinterpretation.

PubMed

Binder, Jeffrey R

2015-12-15

The term "Wernicke's area" is most often used as an anatomical label for the gyri forming the lower posterior left sylvian fissure. Although traditionally this region was held to support language comprehension, modern imaging and neuropsychological studies converge on the conclusion that this region plays a much larger role in speech production. This evidence is briefly reviewed, and a simple schematic model of posterior cortical language processing is described. © 2015 American Academy of Neurology.

Multiple commodities in statistical microeconomics: Model and market

NASA Astrophysics Data System (ADS)

Baaquie, Belal E.; Yu, Miao; Du, Xin

2016-11-01

A statistical generalization of microeconomics has been made in Baaquie (2013). In Baaquie et al. (2015), the market behavior of single commodities was analyzed and it was shown that market data provides strong support for the statistical microeconomic description of commodity prices. The case of multiple commodities is studied and a parsimonious generalization of the single commodity model is made for the multiple commodities case. Market data shows that the generalization can accurately model the simultaneous correlation functions of up to four commodities. To accurately model five or more commodities, further terms have to be included in the model. This study shows that the statistical microeconomics approach is a comprehensive and complete formulation of microeconomics, and which is independent to the mainstream formulation of microeconomics.

Language-related values, reading amount, and reading comprehension in students with migration backgrounds.

PubMed

El-Khechen, Wahiba; Ferdinand, Hanna D; Steinmayr, Ricarda; McElvany, Nele

2016-06-01

Although various studies on general language performance have investigated determinants of students' reading comprehension (e.g., reading amount), they have paid insufficient attention to how students perceive parental values influence their language-related values and behaviour - and, as a consequence, their performance. This is particularly the case for bilingual students with a migration background. The present study aims to examine the impact of how students perceive parental values regarding German (attainment, utility, and cost), students' (utility) value of German/Turkish, and students' reading amount in German/Turkish on German reading comprehension. A total of 118 Grade 4 students in Germany with Turkish as their family language. Reading comprehension was measured with a 15-item standardized test. Whereas students' reading amount (German/Turkish) was assessed through students' self-reports on three questions, students' utility value (German/Turkish) and perceived parental values regarding German (attainment, utility, and cost) were each measured with two items. Results of path modelling supported the hypotheses that students' utility value regarding German and their reading amount in German would positively predict their German reading comprehension, whereas their utility value regarding Turkish and their reading amount in Turkish would negatively predict their German reading comprehension. Data also confirmed a direct effect of the negatively perceived parental cost value of German on German reading comprehension. The new evidence is of practical relevance for teachers, educational scientists, and psychologists who are striving to improve the educational outcomes of bilingual students. Further research needs and the significance of the results for educational practice and home environment are discussed. © 2015 The British Psychological Society.

Experimental and operational modal analysis of a laboratory scale model of a tripod support structure.

NASA Astrophysics Data System (ADS)

Luczak, M. M.; Mucchi, E.; Telega, J.

2016-09-01

The goal of the research is to develop a vibration-based procedure for the identification of structural failures in a laboratory scale model of a tripod supporting structure of an offshore wind turbine. In particular, this paper presents an experimental campaign on the scale model tested in two stages. Stage one encompassed the model tripod structure tested in air. The second stage was done in water. The tripod model structure allows to investigate the propagation of a circumferential representative crack of a cylindrical upper brace. The in-water test configuration included the tower with three bladed rotor. The response of the structure to the different waves loads were measured with accelerometers. Experimental and operational modal analysis was applied to identify the dynamic properties of the investigated scale model for intact and damaged state with different excitations and wave patterns. A comprehensive test matrix allows to assess the differences in estimated modal parameters due to damage or as potentially introduced by nonlinear structural response. The presented technique proves to be effective for detecting and assessing the presence of representative cracks.

Developmental Relations Between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

PubMed Central

Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

2014-01-01

The present study followed a sample of first grade students (N = 316, mean age = 7.05 at first test) through fourth grade to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed. PMID:25201552

The Continuing Umbrella of Research Experiences (CURE): a model for training underserved scientists in cancer research.

PubMed

Franco, Idalid; Bailey, LeeAnn O; Bakos, Alexis D; Springfield, Sanya A

2011-03-01

Mentoring is a critical aspect of research and training; and the adoption of a successful mentoring model for guiding researchers through the educational pipeline is lacking. The Continuing Umbrella of Research Experiences (CURE) program was established in the Comprehensive Minority Biomedical Branch; which is part of the National Cancer Institute. This program offers unique training and career development opportunities to enhance diversity in cancer research. The CURE initiative focuses on broadening the cadre of underserved investigators engaging in cancer research. CURE begins with high school students and fosters scientific, academic and research excellence throughout the trainee's educational progression. The program supports students throughout the entirety of their training career. During this period, the trainee matures into a competitive early stage investigator; capable of securing advanced research project funding in academic and industry workforces. Thus, the CURE program provides a comprehensive vehicle for training and reinforces the critical mass of underserved investigators conducting cancer research.

Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management.

PubMed

Erraguntla, Madhav; Zapletal, Josef; Lawley, Mark

2017-12-01

The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease management must fully connect the complete disease lifecycle, including emergence from reservoir populations, zoonotic vector transmission, and impact on human societies. The Framework for Infectious Disease Analysis is a software environment and conceptual architecture for data integration, situational awareness, visualization, prediction, and intervention assessment. Framework for Infectious Disease Analysis automatically collects biosurveillance data using natural language processing, integrates structured and unstructured data from multiple sources, applies advanced machine learning, and uses multi-modeling for analyzing disease dynamics and testing interventions in complex, heterogeneous populations. In the illustrative case studies, natural language processing from social media, news feeds, and websites was used for information extraction, biosurveillance, and situation awareness. Classification machine learning algorithms (support vector machines, random forests, and boosting) were used for disease predictions.

Supporting Our Youngest Children: Early Head Start Programs in 2010. Brief No. 11

ERIC Educational Resources Information Center

Schmit, Stephanie; Ewen, Danielle

2012-01-01

Since 1965, Head Start has provided high quality early education and comprehensive support services to the nation's poorest children from ages 3 through school age. In 1994, the federal Early Head Start (EHS) program was created to address the comprehensive needs of poor children under age 3 and pregnant women. Head Start and Early Head Start's…

Improving Student Outcomes via Comprehensive Supports: Three-Year Outcomes from CUNY's Accelerated Study in Associate Programs (ASAP)

ERIC Educational Resources Information Center

Kolenovic, Zineta; Linderman, Donna; Karp, Melinda Mechur

2013-01-01

Community colleges are grappling with low rates of degree completion and transfer. The City University of New York's (CUNY) Accelerated Study in Associate Programs (ASAP) aims to improve graduation rates by providing a range of comprehensive support services to community college students in select majors. Using student-unit record data, we…

Using Text-to-Speech Reading Support for an Adult with Mild Aphasia and Cognitive Impairment

ERIC Educational Resources Information Center

Harvey, Judy; Hux, Karen; Snell, Jeffry

2013-01-01

This single case study served to examine text-to-speech (TTS) effects on reading rate and comprehension in an individual with mild aphasia and cognitive impairment. Findings showed faster reading, given TTS presented at a normal speaking rate, but no significant comprehension changes. TTS may support reading in people with aphasia when time…

76 FR 38040 - Lifeline and Link Up Reform and Modernization, Federal-State Joint Board on Universal Service...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-29

... comprehensive set of proposals to better target support to needy consumers and maximize the number of Americans... Low-Income Program in order to align it with changes in technology and market dynamics, such as the... comprehensive set of proposals to better target support to needy consumers and maximize the number of Americans...

Overcoming roadblocks: current and emerging reimbursement strategies for integrated mental health services in primary care.

PubMed

O'Donnell, Allison N; Williams, Mark; Kilbourne, Amy M

2013-12-01

The Chronic Care Model (CCM) has been shown to improve medical and psychiatric outcomes for persons with mental disorders in primary care settings, and has been proposed as a model to integrate mental health care in the patient-centered medical home under healthcare reform. However, the CCM has not been widely implemented in primary care settings, primarily because of a lack of a comprehensive reimbursement strategy to compensate providers for day-to-day provision of its core components, including care management and provider decision support. Drawing upon the existing literature and regulatory guidelines, we provide a critical analysis of challenges and opportunities in reimbursing CCM components under the current fee-for-service system, and describe an emerging financial model involving bundled payments to support core CCM components to integrate mental health treatment into primary care settings. Ultimately, for the CCM to be used and sustained over time to integrate physical and mental health care, effective reimbursement models will need to be negotiated across payers and providers. Such payments should provide sufficient support for primary care providers to implement practice redesigns around core CCM components, including care management, measurement-based care, and mental health specialist consultation.

The Impact of Language Ability and Text Variables on Sixth-Grade Students' Comprehension.

ERIC Educational Resources Information Center

Penning, Marge J.; Raphael, Taffy E.

1991-01-01

Examines differences in language ability between normally achieving students and learning-disabled students with reading comprehension problems. Poor comprehending students differed from normal achievers for all language measures and in the manner that reader- and text-related variables predicted comprehension. Results supported the positive role…

Memory Operations that Support Language Comprehension: Evidence from Verb-Phrase Ellipsis

ERIC Educational Resources Information Center

Martin, Andrea E.; McElree, Brian

2009-01-01

Comprehension of verb-phrase ellipsis (VPE) requires reevaluation of recently processed constituents, which often necessitates retrieval of information about the elided constituent from memory. A. E. Martin and B. McElree (2008) argued that representations formed during comprehension are content addressable and that VPE antecedents are retrieved…

Comprehension Shouldn't Be Silent: From Strategy Instruction to Student Independence

ERIC Educational Resources Information Center

Kelley, Michelle J.; Clausen-Grace, Nicki

2007-01-01

Use the teaching ideas in this rich resource to improve your students' reading comprehension. By nurturing meaningful talk about reading and learning, you can monitor and support students' metacognitive use of strategies such as predicting, making connections, questioning, visualizing, and summarizing. A comprehensive breakdown of the components…

Comprehension Across the Curriculum: Perspectives and Practices K-12

ERIC Educational Resources Information Center

Ganske, Kathy, Ed.; Fisher, Douglas, Ed.

2009-01-01

Successful students use comprehension skills and strategies throughout the school day. In this timely book, leading scholars present innovative ways to support reading comprehension across content areas and the full K-12 grade range. Chapters provide specific, practical guidance for selecting rewarding texts and promoting engagement and…

Using E-Readers and Internet Resources to Support Comprehension

ERIC Educational Resources Information Center

Wright, Sandra; Fugett, April; Caputa, Francine

2013-01-01

The advancements of technology have led to the use of electronic reading systems for digital text. Research indicates similarities and differences in reading performance and comprehension in digital formats compared to paper formats. This study compared vocabulary understanding and reading comprehension scores from two reading sources (electronic…

Improving Content Knowledge and Comprehension for English Language Learners: Findings from a Randomized Control Trial

ERIC Educational Resources Information Center

Vaughn, Sharon; Martinez, Leticia R.; Wanzek, Jeanne; Roberts, Greg; Swanson, Elizabeth; Fall, Anna-Mária

2017-01-01

Supporting the reading comprehension and content knowledge acquisition of English language learners (ELs) requires instructional practices that continue beyond developing the foundational skills of reading. In particular, the challenges ELs face highlight the importance of teaching reading comprehension practices in the middle grades through…

A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis

PubMed Central

Lee, Kyubum; Kim, Byounggun; Jeon, Minji; Kim, Jihye; Tan, Aik Choon

2018-01-01

Background With the development of artificial intelligence (AI) technology centered on deep-learning, the computer has evolved to a point where it can read a given text and answer a question based on the context of the text. Such a specific task is known as the task of machine comprehension. Existing machine comprehension tasks mostly use datasets of general texts, such as news articles or elementary school-level storybooks. However, no attempt has been made to determine whether an up-to-date deep learning-based machine comprehension model can also process scientific literature containing expert-level knowledge, especially in the biomedical domain. Objective This study aims to investigate whether a machine comprehension model can process biomedical articles as well as general texts. Since there is no dataset for the biomedical literature comprehension task, our work includes generating a large-scale question answering dataset using PubMed and manually evaluating the generated dataset. Methods We present an attention-based deep neural model tailored to the biomedical domain. To further enhance the performance of our model, we used a pretrained word vector and biomedical entity type embedding. We also developed an ensemble method of combining the results of several independent models to reduce the variance of the answers from the models. Results The experimental results showed that our proposed deep neural network model outperformed the baseline model by more than 7% on the new dataset. We also evaluated human performance on the new dataset. The human evaluation result showed that our deep neural model outperformed humans in comprehension by 22% on average. Conclusions In this work, we introduced a new task of machine comprehension in the biomedical domain using a deep neural model. Since there was no large-scale dataset for training deep neural models in the biomedical domain, we created the new cloze-style datasets Biomedical Knowledge Comprehension Title (BMKC_T) and Biomedical Knowledge Comprehension Last Sentence (BMKC_LS) (together referred to as BioMedical Knowledge Comprehension) using the PubMed corpus. The experimental results showed that the performance of our model is much higher than that of humans. We observed that our model performed consistently better regardless of the degree of difficulty of a text, whereas humans have difficulty when performing biomedical literature comprehension tasks that require expert level knowledge. PMID:29305341

Dispositional hope and life satisfaction among older adults attending lifelong learning programs.

PubMed

Oliver, A; Tomás, J M; Montoro-Rodriguez, J

2017-09-01

The aim of this study is to explore the indirect effects of dispositional hope in the life satisfaction of older adults attending a lifelong learning program at the University of Valencia, Spain. We examine the mediating impact of dispositional hope regarding its ability to impact life satisfaction while considering affective and confidant social support, perceived health and leisure activities, consciousness and spirituality as predictors. Analysis were based on survey data (response rate 77.4%) provided by 737 adults 55 years old or more (Mean age=65.41, SD=6.60; 69% woman). A structural model with latent variables was specified and estimated in Mplus. The results show the ability of just a few variables to sum up a reasonable model to apply to successful aging population. All these variables are correlated and significantly predict hope with the exception of health. The model additionally includes significant positive indirect effects from spirituality, affective support and consciousness on satisfaction. The model has a good fit in terms of both the measurement and structural model. Regarding predictive power, these comprehensive four main areas of successful aging account for 42% of hope and finally for one third of the life satisfaction variance. Results support the mediating role of dispositional hope on the life satisfaction among older adults attending lifelong learning programs. These findings also support the MacArthur model of successful aging adapted to older adults with high levels of functional, social and cognitive ability. Dispositional hope, perceived health, and social support were the strongest predictors of satisfaction with life. Copyright © 2017 Elsevier B.V. All rights reserved.

Contextualizing the Psychosocial Well-being of Military Members and Their Partners: The Importance of Community and Relationship Provisions.

PubMed

O'Neal, Catherine Walker; Mancini, Jay A; DeGraff, Alycia

2016-12-01

Evidence of the impact of communities has been documented for a variety of individual and relational outcomes, including mental and physical health as well as the quality of romantic and parent-child relationships. The military represents a rather unique work context; in that, it is generally considered a lifestyle with a distinct culture and community. Yet, military families are also members of their broader, comprehensive community. Drawing from the social organizational theory of action and change (SOC) (Mancini & Bowen, 2013), and relationship provisions theory (Weiss, 1969) and utilizing a sample of 266 active duty military families, this study examined connectedness with the military community and the broader, comprehensive community. A dyadic model was evaluated whereby each partner's perspective of their comprehensive and military community was hypothesized to influence their own psychosocial well-being as well as their partner's psychosocial well-being. The role of relationship provisions (that is, having relationship needs met) as a mechanism linking community connections to psychosocial well-being was also examined. Overall, the findings supported the hypothesized model, particularly for intra-individual effects and military members. Findings emphasize the importance of considering what is gained from connections within a community rather than a focus solely on the connections themselves. © Society for Community Research and Action 2016.

BIM Based Virtual Environment for Fire Emergency Evacuation

PubMed Central

Rezgui, Yacine; Ong, Hoang N.

2014-01-01

Recent building emergency management research has highlighted the need for the effective utilization of dynamically changing building information. BIM (building information modelling) can play a significant role in this process due to its comprehensive and standardized data format and integrated process. This paper introduces a BIM based virtual environment supported by virtual reality (VR) and a serious game engine to address several key issues for building emergency management, for example, timely two-way information updating and better emergency awareness training. The focus of this paper lies on how to utilize BIM as a comprehensive building information provider to work with virtual reality technologies to build an adaptable immersive serious game environment to provide real-time fire evacuation guidance. The innovation lies on the seamless integration between BIM and a serious game based virtual reality (VR) environment aiming at practical problem solving by leveraging state-of-the-art computing technologies. The system has been tested for its robustness and functionality against the development requirements, and the results showed promising potential to support more effective emergency management. PMID:25197704

Establishing a Framework for Community Modeling in Hydrologic Science: Recommendations from the CUAHSI CHyMP Initiative

NASA Astrophysics Data System (ADS)

Arrigo, J. S.; Famiglietti, J. S.; Murdoch, L. C.; Lakshmi, V.; Hooper, R. P.

2012-12-01

The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) continues a major effort towards supporting Community Hydrologic Modeling. From 2009 - 2011, the Community Hydrologic Modeling Platform (CHyMP) initiative held three workshops, the ultimate goal of which was to produce recommendations and an implementation plan to establish a community modeling program that enables comprehensive simulation of water anywhere on the North American continent. Such an effort would include connections to and advances in global climate models, biogeochemistry, and efforts of other disciplines that require an understanding of water patterns and processes in the environment. To achieve such a vision will require substantial investment in human and cyber-infrastructure and significant advances in the science of hydrologic modeling and spatial scaling. CHyMP concluded with a final workshop, held March 2011, and produced several recommendations. CUAHSI and the university community continue to advance community modeling and implement these recommendations through several related and follow on efforts. Key results from the final 2011 workshop included agreement among participants that the community is ready to move forward with implementation. It is recognized that initial implementation of this larger effort can begin with simulation capabilities that currently exist, or that can be easily developed. CHyMP identified four key activities in support of community modeling: benchmarking, dataset evaluation and development, platform evaluation, and developing a national water model framework. Key findings included: 1) The community supported the idea of a National Water Model framework; a community effort is needed to explore what the ultimate implementation of a National Water Model is. A true community modeling effort would support the modeling of "water anywhere" and would include all relevant scales and processes. 2) Implementation of a community modeling program could initially focus on continental scale modeling of water quantity (rather than quality). The goal of this initial model is the comprehensive description of water stores and fluxes in such a way to permit linkage to GCM's, biogeochemical, ecological, and geomorphic models. This continental scale focus allows systematic evaluation of our current state of knowledge and data, leverages existing efforts done by large scale modelers, contributes to scientific discovery that informs globally and societal relevant questions, and provides an initial framework to evaluate hydrologic information relevant to other disciplines and a structure into which to incorporate other classes of hydrologic models. 3) Dataset development will be a key aspect of any successful national water model implementation. Our current knowledge of the subsurface is limiting our ability to truly integrate soil and groundwater into large scale models, and to answering critical science questions with societal relevance (i.e. groundwater's influence on climate). 4) The CHyMP workshops and efforts to date have achieved collaboration between university scientists, government agencies and the private sector that must be maintained. Follow on efforts in community modeling should aim at leveraging and maintaining this collaboration for maximum scientific and societal benefit.

A Framework for Considering Comprehensibility in Modeling

PubMed Central

Gleicher, Michael

2016-01-01

Abstract Comprehensibility in modeling is the ability of stakeholders to understand relevant aspects of the modeling process. In this article, we provide a framework to help guide exploration of the space of comprehensibility challenges. We consider facets organized around key questions: Who is comprehending? Why are they trying to comprehend? Where in the process are they trying to comprehend? How can we help them comprehend? How do we measure their comprehension? With each facet we consider the broad range of options. We discuss why taking a broad view of comprehensibility in modeling is useful in identifying challenges and opportunities for solutions. PMID:27441712

A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model.

PubMed

Torija, Antonio J; Ruiz, Diego P; Ramos-Ridao, Angel F

2014-06-01

To ensure appropriate soundscape management in urban environments, the urban-planning authorities need a range of tools that enable such a task to be performed. An essential step during the management of urban areas from a sound standpoint should be the evaluation of the soundscape in such an area. In this sense, it has been widely acknowledged that a subjective and acoustical categorization of a soundscape is the first step to evaluate it, providing a basis for designing or adapting it to match people's expectations as well. In this sense, this work proposes a model for automatic classification of urban soundscapes. This model is intended for the automatic classification of urban soundscapes based on underlying acoustical and perceptual criteria. Thus, this classification model is proposed to be used as a tool for a comprehensive urban soundscape evaluation. Because of the great complexity associated with the problem, two machine learning techniques, Support Vector Machines (SVM) and Support Vector Machines trained with Sequential Minimal Optimization (SMO), are implemented in developing model classification. The results indicate that the SMO model outperforms the SVM model in the specific task of soundscape classification. With the implementation of the SMO algorithm, the classification model achieves an outstanding performance (91.3% of instances correctly classified). © 2013 Elsevier B.V. All rights reserved.

Flow-velocity data collected in the wetlands adjacent to canal C-111 in south Florida during 1997 and 1999

USGS Publications Warehouse

Ball, Maria H.; Schaffranek, Raymond W.

2000-01-01

The U.S. Geological Survey (USGS) is working closely with other Federal and State agencies in a comprehensive program to evaluate and restore the south Florida ecosystem. Within the USGS South Florida Ecosystem Program, a project entitled 'Coupling Models for Canal and Wetland Flow/Transport Interaction' is focused on analysis and numerical simulation of flow and potential transport of constituents between canal C-111 and wetlands adjacent to Everglades National Park. In support of this project, comprehensive sets of flow, vegetation, and water-quality data were collected in September 1997 and 1999. The flow-velocity data are compiled, summarized, and tabulated in this report. The flow, vegetation, and water-quality data are available for downloading from the World Wide Web.

A structural equation model on the attributes of a skills enhancement program affecting clinical competence of pre-graduate nursing students.

PubMed

Rebueno, Ma Carina D R; Tiongco, Dyan Dee D; Macindo, John Rey B

2017-02-01

Clinical competence remains an issue in nursing and has received greater emphasis than academic competence. Although skill enhancement programs are recommended and beneficial, there is limited evidence on its influence on the clinical competence of pre-graduate nursing students. This study explored the attributes of a skills enhancement program that affect the perceived clinical competence of pre-graduate nursing students. A cross-sectional study was conducted in a private higher education institution in the Philippines from April to May 2016. A total of 245 pre-graduate nursing students participated and completed a three-part survey composed of the respondent's robotfoto, the Skills Enhancement Program Questionnaire, and the Clinical Competence Questionnaire. Factor analysis explicated the attributes of the skills enhancement program while structural equation modeling and path analysis analyzed the variables' relationship. Findings showed that a skills enhancement program has 4 attributes: supportive clinical instructor, comprehensive orientation, formative goals and objectives, and conducive learning environment. Although all attributes of the program positively affected clinical competence, a supportive clinical instructor had the strongest influence on all clinical competency dimensions. A skills enhancement program that has a supportive clinical instructor, comprehensive orientation, formative goals and objectives, and conducive learning environment facilitates clinical competency development among pre-graduate nursing students. This knowledge provides momentum for nursing educators to review and refine their skills and the existing design of their skills enhancement program to further develop clinical competency among pre-graduate nursing students. Copyright © 2016 Elsevier Ltd. All rights reserved.

Theoretical Models of Comprehension Skills Tested through a Comprehension Assessment Battery for Primary School Children

ERIC Educational Resources Information Center

Tobia, Valentina; Ciancaleoni, Matteo; Bonifacci, Paola

2017-01-01

In this study, two alternative theoretical models were compared, in order to analyze which of them best explains primary school children's text comprehension skills. The first one was based on the distinction between two types of answers requested by the comprehension test: local or global. The second model involved texts' input modality: written…

Shock Layer Radiation Measurements and Analysis for Mars Entry

NASA Technical Reports Server (NTRS)

Bose, Deepak; Grinstead, Jay Henderson; Bogdanoff, David W.; Wright, Michael J.

2009-01-01

NASA's In-Space Propulsion program is supporting the development of shock radiation transport models for aerocapture missions to Mars. A comprehensive test series in the NASA Antes Electric Arc Shock Tube facility at a representative flight condition was recently completed. The facility optical instrumentation enabled spectral measurements of shocked gas radiation from the vacuum ultraviolet to the near infrared. The instrumentation captured the nonequilibrium post-shock excitation and relaxation dynamics of dispersed spectral features. A description of the shock tube facility, optical instrumentation, and examples of the test data are presented. Comparisons of measured spectra with model predictions are also made.

Reclaiming Gender and Power in Sexual Violence Prevention in Adolescence.

PubMed

Miller, Elizabeth

2018-03-01

The Mentors in Violence Prevention (MVP) model seeks to address the root causes of gender violence using a bystander approach and leadership training to challenge structures of patriarchy. Emerging research on adolescent relationship abuse and sexual violence points to key modifiable targets-transforming gender norms, addressing homophobia, integrating with comprehensive sexuality education, and acknowledging the needs of youth already exposed to violence. A social justice-based bystander approach such as the MVP model should be part of a multi-level approach to sexual violence prevention that addresses gender and power, encourages healthy sexuality conversations, and provides safety and support for survivors.

A model structure for an EBM program in a multihospital system.

PubMed

Schumacher, Dale N; Stock, Joseph R; Richards, Joan K

2003-01-01

Evidence-based medicine (EBM) offers a great opportunity to translate advances in medical science into advances in clinical practice. We describe the structure of a comprehensive EBM program in a multihospital community teaching system. This EBM model is distinct and separate from the peer review process and has achieved substantial physician involvement. The program emanates from the Board of Directors Quality of Care Committee and has strong administrative support. The approach relies extensively on physician involvement and expert physician panels to enhance existing EBM practice guidelines, with an explicit strategy of performance reports and feedback.

Towards Co-Engineering Communicating Autonomous Cyber-Physical Systems

NASA Technical Reports Server (NTRS)

Bujorianu, Marius C.; Bujorianu, Manuela L.

2009-01-01

In this paper, we sketch a framework for interdisciplinary modeling of space systems, by proposing a holistic view. We consider different system dimensions and their interaction. Specifically, we study the interactions between computation, physics, communication, uncertainty and autonomy. The most comprehensive computational paradigm that supports a holistic perspective on autonomous space systems is given by cyber-physical systems. For these, the state of art consists of collaborating multi-engineering efforts that prompt for an adequate formal foundation. To achieve this, we propose a leveraging of the traditional content of formal modeling by a co-engineering process.

Analyzing and Integrating Models of Multiple Text Comprehension

ERIC Educational Resources Information Center

List, Alexandra; Alexander, Patricia A.

2017-01-01

We introduce a special issue featuring four theoretical models of multiple text comprehension. We present a central framework for conceptualizing the four models in this special issue. Specifically, we chart the models according to how they consider learner, texts, task, and context factors in explaining multiple text comprehension. In addition,…

Efficient GIS-based model-driven method for flood risk management and its application in central China

NASA Astrophysics Data System (ADS)

Liu, Y.; Zhou, J.; Song, L.; Zou, Q.; Guo, J.; Wang, Y.

2014-02-01

In recent years, an important development in flood management has been the focal shift from flood protection towards flood risk management. This change greatly promoted the progress of flood control research in a multidisciplinary way. Moreover, given the growing complexity and uncertainty in many decision situations of flood risk management, traditional methods, e.g., tight-coupling integration of one or more quantitative models, are not enough to provide decision support for managers. Within this context, this paper presents a beneficial methodological framework to enhance the effectiveness of decision support systems, through the dynamic adaptation of support regarding the needs of the decision-maker. In addition, we illustrate a loose-coupling technical prototype for integrating heterogeneous elements, such as multi-source data, multidisciplinary models, GIS tools and existing systems. The main innovation is the application of model-driven concepts, which put the system in a state of continuous iterative optimization. We define the new system as a model-driven decision support system (MDSS ). Two characteristics that differentiate the MDSS are as follows: (1) it is made accessible to non-technical specialists; and (2) it has a higher level of adaptability and compatibility. Furthermore, the MDSS was employed to manage the flood risk in the Jingjiang flood diversion area, located in central China near the Yangtze River. Compared with traditional solutions, we believe that this model-driven method is efficient, adaptable and flexible, and thus has bright prospects of application for comprehensive flood risk management.

Kinematic Model of Transient Shape-Induced Anisotropy in Dense Granular Flow

NASA Astrophysics Data System (ADS)

Nadler, B.; Guillard, F.; Einav, I.

2018-05-01

Nonspherical particles are ubiquitous in nature and industry, yet previous theoretical models of granular media are mostly limited to systems of spherical particles. The problem is that in systems of nonspherical anisotropic particles, dynamic particle alignment critically affects their mechanical response. To study the tendency of such particles to align, we propose a simple kinematic model that relates the flow to the evolution of particle alignment with respect to each other. The validity of the proposed model is supported by comparison with particle-based simulations for various particle shapes ranging from elongated rice-like (prolate) to flattened lentil-like (oblate) particles. The model shows good agreement with the simulations for both steady-state and transient responses, and advances the development of comprehensive constitutive models for shape-anisotropic particles.

Towards a Comprehensive Dynamic-chemistry Assimilation for Eos-Chem: Plans and Status in NASA's Data Assimilation Office

NASA Technical Reports Server (NTRS)

Pawson, Steven; Lin, Shian-Jiann; Rood, Richard B.; Stajner, Ivanka; Nebuda, Sharon; Nielsen, J. Eric; Douglass, Anne R.

2000-01-01

In order to support the EOS-Chem project, a comprehensive assimilation package for the coupled chemical-dynamical system is being developed by the Data Assimilation Office at NASA GSFC. This involves development of a coupled chemistry/meteorology model and of data assimilation techniques for trace species and meteorology. The model is being developed using the flux-form semi-Lagrangian dynamical core of Lin and Rood, the physical parameterizations from the NCAR Community Climate Model, and atmospheric chemistry modules from the Atmospheric Chemistry and Dynamics branch at NASA GSFC. To date the following results have been obtained: (i) multi-annual simulations with the dynamics-radiation model show the credibility of the package for atmospheric simulations; (ii) initial simulations including a limited number of middle atmospheric trace gases reveal the realistic nature of transport mechanisms, although there is still a need for some improvements. Samples of these results will be shown. A meteorological assimilation system is currently being constructed using the model; this will form the basis for the proposed meteorological/chemical assimilation package. The latter part of the presentation will focus on areas targeted for development in the near and far terms, with the objective of Providing a comprehensive assimilation package for the EOS-Chem science experiment. The first stage will target ozone assimilation. The plans also encompass a reanalysis (ReSTS) for the 1991-1995 period, which includes the Mt. Pinatubo eruption and the time when a large number of UARS observations were available. One of the most challenging aspects of future developments will be to couple theoretical advances in tracer assimilation with the practical considerations of a real environment and eventually a near-real-time assimilation system.

Text-Based Vocabulary Intervention Training Study: Supporting Fourth Graders with Low Reading Comprehension and Learning Disabilities

ERIC Educational Resources Information Center

Solís, Michael; Scammacca, Nancy; Barth, Amy E.; Roberts, Garrett J.

2017-01-01

This experimental study examined the effectiveness of a text-based reading and vocabulary intervention with self-regulatory supports for 4th graders with low reading comprehension. Students with standard scores on the Gates MacGinitie Reading Test between 1.0 standard deviation (SD) and 0.5 SD below the normative sample were included (N=44) and…

Validation of an instrument to measure inter-organisational linkages in general practice.

PubMed

Amoroso, Cheryl; Proudfoot, Judith; Bubner, Tanya; Jayasinghe, Upali W; Holton, Christine; Winstanley, Julie; Beilby, Justin; Harris, Mark F

2007-12-03

Linkages between general medical practices and external services are important for high quality chronic disease care. The purpose of this research is to describe the development, evaluation and use of a brief tool that measures the comprehensiveness and quality of a general practice's linkages with external providers for the management of patients with chronic disease. In this study, clinical linkages are defined as the communication, support, and referral arrangements between services for the care and assistance of patients with chronic disease. An interview to measure surgery-level (rather than individual clinician-level) clinical linkages was developed, piloted, reviewed, and evaluated with 97 Australian general practices. Two validated survey instruments were posted to patients, and a survey of locally available services was developed and posted to participating Divisions of General Practice (support organisations). Hypotheses regarding internal validity, association with local services, and patient satisfaction were tested using factor analysis, logistic regression and multilevel regression models. The resulting General Practice Clinical Linkages Interview (GP-CLI) is a nine-item tool with three underlying factors: referral and advice linkages, shared care and care planning linkages, and community access and awareness linkages. Local availability of chronic disease services has no affect on the comprehensiveness of services with which practices link, however, comprehensiveness of clinical linkages has an association with patient assessment of access, receptionist services, and of continuity of care in their general practice. The GP-CLI may be useful to researchers examining comparable health care systems for measuring the comprehensiveness and quality of linkages at a general practice-level with related services, possessing both internal and external validity. The tool can be used with large samples exploring the impact, outcomes, and facilitators of high quality clinical linkages in general practice.

Bilateral Capacity for Speech Sound Processing in Auditory Comprehension: Evidence from Wada Procedures

ERIC Educational Resources Information Center

Hickok, G.; Okada, K.; Barr, W.; Pa, J.; Rogalsky, C.; Donnelly, K.; Barde, L.; Grant, A.

2008-01-01

Data from lesion studies suggest that the ability to perceive speech sounds, as measured by auditory comprehension tasks, is supported by temporal lobe systems in both the left and right hemisphere. For example, patients with left temporal lobe damage and auditory comprehension deficits (i.e., Wernicke's aphasics), nonetheless comprehend isolated…

Development of Early Measures of Comprehension: Innovation in Individual Growth and Development Indicators

ERIC Educational Resources Information Center

Wackerle-Hollman, Alisha K.; Rodriguez, Megan I.; Bradfield, Tracy A.; Rodriguez, Michael C.; McConnell, Scott R.

2015-01-01

Early comprehension is an important, but not well-understood, contribution to early literacy and language development. Specifically, research regarding the nature of skills representative of early comprehension, including how they contribute to later reading success, is needed to support best practices to adequately prepare students. This article…

Does Linguistic Comprehension Support the Decoding Skills of Struggling Readers?

ERIC Educational Resources Information Center

Blick, Michele; Nicholson, Tom; Chapman, James; Berman, Jeanette

2017-01-01

This study investigated the contribution of linguistic comprehension to the decoding skills of struggling readers. Participants were 36 children aged between eight and 12 years, all below average in decoding but differing in linguistic comprehension. The children read passages from the Neale Analysis of Reading Ability and their first 25 miscues…

First- and Second-Grade Urban Students' Path to Comprehension Strategy Use: A Practitioner's Framework

ERIC Educational Resources Information Center

Pilonieta, Paola

2017-01-01

This study seeks to explain what first- and second-grade African American, urban students who participated in an explicit comprehension strategy instruction (ECSI) program learned about comprehension strategies and how this knowledge supports self-regulated strategy use. The study was also designed to compare these students' knowledge with those…

Financial planning on a comprehensive scale.

PubMed

Mishra, Simita

2013-04-01

Hospitals and health systems that wish to explore the shift to comprehensive care management should: Assess the investments in infrastructure necessary to support comprehensive care management, Gauge the financial implications and set quality and financial goals, Monitor performance using metrics such as patient satisfaction, avoidable admissions, out-of-group referrals, and average length of stay.

Supporting Social Studies Reading Comprehension with an Electronic Pop-Up Dictionary

ERIC Educational Resources Information Center

Fry, Sara Winstead; Gosky, Ross

2008-01-01

This study investigated how middle school students' comprehension was impacted by reading social studies texts online with a pop-up dictionary function for every word in the text. A quantitative counterbalance design was used to determine how 129 middle school students' reading comprehension test scores for the pop-up dictionary reading differed…

Accountable Talk in Reading Comprehension Instruction. CSE Technical Report 670

ERIC Educational Resources Information Center

Wolf, Mikyung Kim; Crosson, Amy C.; Resnick, Lauren B.

2006-01-01

This study examined the relationship between the quality of classroom talk and academic rigor in reading comprehension lessons. In addition, the study aimed to characterize effective questions to support rigorous reading comprehension lessons. The data were collected as a part of the Instructional Quality Assessment (IQA) pilot. The IQA is a…

Validation of the Simple View of Reading in Hebrew--A Semitic Language

ERIC Educational Resources Information Center

Joshi, R. Malatesha; Ji, Xuejun Ryan; Breznitz, Zvia; Amiel, Meirav; Yulia, Astri

2015-01-01

The Simple View of Reading (SVR) in Hebrew was tested by administering decoding, listening comprehension, and reading comprehension measures to 1,002 students from Grades 2 to 10 in the northern part of Israel. Results from hierarchical regression analyses supported the SVR in Hebrew with decoding and listening comprehension measures explaining…

For US Students, L2 Reading Comprehension Is Hard Because L2 Listening Comprehension Is Hard, Too

ERIC Educational Resources Information Center

Sparks, Richard; Patton, Jon; Luebbers, Julie

2018-01-01

The Simple View of Reading (SVR) model posits that reading is the product of word decoding and language comprehension and that oral language (listening) comprehension is the best predictor of reading comprehension once word-decoding skill has been established. The SVR model also proposes that there are good readers and three types of poor…

Vulnerable Populations in Hospital and Health Care Emergency Preparedness Planning: A Comprehensive Framework for Inclusion.

PubMed

Kreisberg, Debra; Thomas, Deborah S K; Valley, Morgan; Newell, Shannon; Janes, Enessa; Little, Charles

2016-04-01

As attention to emergency preparedness becomes a critical element of health care facility operations planning, efforts to recognize and integrate the needs of vulnerable populations in a comprehensive manner have lagged. This not only results in decreased levels of equitable service, but also affects the functioning of the health care system in disasters. While this report emphasizes the United States context, the concepts and approaches apply beyond this setting. This report: (1) describes a conceptual framework that provides a model for the inclusion of vulnerable populations into integrated health care and public health preparedness; and (2) applies this model to a pilot study. The framework is derived from literature, hospital regulatory policy, and health care standards, laying out the communication and relational interfaces that must occur at the systems, organizational, and community levels for a successful multi-level health care systems response that is inclusive of diverse populations explicitly. The pilot study illustrates the application of key elements of the framework, using a four-pronged approach that incorporates both quantitative and qualitative methods for deriving information that can inform hospital and health facility preparedness planning. The conceptual framework and model, applied to a pilot project, guide expanded work that ultimately can result in methodologically robust approaches to comprehensively incorporating vulnerable populations into the fabric of hospital disaster preparedness at levels from local to national, thus supporting best practices for a community resilience approach to disaster preparedness.

Applying a Multiple Group Causal Indicator Modeling Framework to the Reading Comprehension Skills of Third, Seventh, and Tenth Grade Students

PubMed Central

Tighe, Elizabeth L.; Wagner, Richard K.; Schatschneider, Christopher

2015-01-01

This study demonstrates the utility of applying a causal indicator modeling framework to investigate important predictors of reading comprehension in third, seventh, and tenth grade students. The results indicated that a 4-factor multiple indicator multiple indicator cause (MIMIC) model of reading comprehension provided adequate fit at each grade level. This model included latent predictor constructs of decoding, verbal reasoning, nonverbal reasoning, and working memory and accounted for a large portion of the reading comprehension variance (73% to 87%) across grade levels. Verbal reasoning contributed the most unique variance to reading comprehension at all grade levels. In addition, we fit a multiple group 4-factor MIMIC model to investigate the relative stability (or variability) of the predictor contributions to reading comprehension across development (i.e., grade levels). The results revealed that the contributions of verbal reasoning, nonverbal reasoning, and working memory to reading comprehension were stable across the three grade levels. Decoding was the only predictor that could not be constrained to be equal across grade levels. The contribution of decoding skills to reading comprehension was higher in third grade and then remained relatively stable between seventh and tenth grade. These findings illustrate the feasibility of using MIMIC models to explain individual differences in reading comprehension across the development of reading skills. PMID:25821346

Cultivating engineering innovation ability based on optoelectronic experimental platform

NASA Astrophysics Data System (ADS)

Li, Dangjuan; Wu, Shenjiang

2017-08-01

As the supporting experimental platform of the Xi'an Technological University education reform experimental class, "optical technological innovation experimental platform" integrated the design and comprehensive experiments of the optical multi-class courses. On the basis of summing up the past two years teaching experience, platform pilot projects were improve. It has played a good role by making the use of an open teaching model in the cultivating engineering innovation spirit and scientific thinking of the students.

Decision Support Model to Optimize Site Characterization Activities Taken in Compliance with the Comprehensive Environmental Response Compensation and Liability Act

DTIC Science & Technology

1995-12-01

Contingency Plan ............................... 10 Table 2: Summary of Inhalation Emission Factors (K) for Equation ( 1 ...surveys for exposure factors commonly used in risk assessment (EPA, 1989a: 1 - 1 ). Exposure can take place via three possible routes, the inhalation ...Equation ( 1 ) calculates the dose for the inhalation route (USEPA, 1991 a:51-52; USEPA, 1989b:6-44). Dose - (C)(IRXETXEFXED) (K)(BWXAT) where C

Enhancements to the Network Repair Level Analysis (NRLA) Model Using Marginal Analysis Techniques and Centralized Intermediate Repair Facility (CIRF) Maintenance Concepts.

DTIC Science & Technology

1983-12-01

while at the same time improving its operational efficiency. Through their integration and use, System Program Managers have a comprehensive analytical... systems . The NRLA program is hosted on the CREATE Operating System and contains approxiamately 5500 lines of computer code. It consists of a main...associated with C alternative maintenance plans. As the technological complexity of weapons systems has increased new and innovative logisitcal support

Financing Long-Term Services And Supports: Options Reflect Trade-Offs For Older Americans And Federal Spending.

PubMed

Favreault, Melissa M; Gleckman, Howard; Johnson, Richard W

2015-12-01

About half of older Americans will need a high level of assistance with routine activities for a prolonged period of time. This help is commonly referred to as long-term services and supports (LTSS). Under current policies, these individuals will fund roughly half of their paid care out of pocket. Partly as a result of high costs and uncertainty, relatively few people purchase private long-term care insurance or save sufficiently to fully finance LTSS; many will eventually turn to Medicaid for help. To show how policy changes could expand insurance's role in financing these needs, we modeled several new insurance options. Specifically, we looked at a front-end-only benefit that provides coverage relatively early in the period of disability but caps benefits, a back-end benefit with no lifetime limit, and a combined comprehensive benefit. We modeled mandatory and voluntary versions of each option, and subsidized and unsubsidized versions of each voluntary option. We identified important differences among the alternatives, highlighting relevant trade-offs that policy makers can consider in evaluating proposals. If the primary goal is to significantly increase insurance coverage, the mandatory options would be more successful than the voluntary versions. If the major aim is to reduce Medicaid costs, the comprehensive and back-end mandatory options would be most beneficial. Project HOPE—The People-to-People Health Foundation, Inc.

A survey of National Cancer Institute-designated comprehensive cancer centers' oral health supportive care practices and resources in the USA.

PubMed

Epstein, Joel B; Parker, Ira R; Epstein, Matthew S; Gupta, Anurag; Kutis, Susan; Witkowski, Daniela M

2007-04-01

The oral complications and morbidity resulting from overall cancer therapy utilizing radiation, chemotherapy, and/or stem cell transplantation can have significant impact on a patient's health, quality of life, cost of care, and cancer management. There has been minimal health services research focusing on the status of medically necessary, oral supportive services at US cancer centers. A pre-tested, survey questionnaire was distributed to the directors of National Cancer Institute (NCI)-designated comprehensive cancer centers to assess each institution's resource availability and clinical practices, as it relates to the prevention and management of oral complications during cancer treatment. Sixteen of the 39 comprehensive cancer centers responded to the survey. Of the respondents, 56% of the centers did not have a dental department. The sites of delivery of oral supportive care services range from the provision of in-house dental care to community-based, private practice sites. No standard protocols were in place for either oral preventive care or for supportive services for oral complications during or after cancer therapy. Fifty percent of the responding comprehensive cancer centers reported orally focused research and/or clinical trial activities. Comprehensive cancer care must include an oral care component, particularly for those cancer patients who are at high risk for oral complications. This requires a functional team of oral care providers collaborating closely within the oncology team. Considering the number of cancer patients receiving aggressive oncologic treatment that may result in oral toxicity, the impact of oral conditions on a compromised host, and the potential lack of appropriate resources and healthcare personnel to manage these complications, future research efforts are needed to identify the strengths and weaknesses of present oral supportive care delivery systems at both NCI-designated cancer centers and community-based oncology practices.

Postpartum follow-up: can psychosocial support reduce newborn readmissions?

PubMed

Barilla, Dora; Marshak, Helen Hopp; Anderson, S Eric; Hopp, Joyce W

2010-01-01

To determine whether there was a relationship between postpartum psychosocial support from healthcare providers and the rate of normal newborn readmissions (NNRs), and whether there was a cost benefit to justify an intervention. Data were abstracted for all normal newborn births from 1999 to 2006 (N = 14,786) at a community hospital in southern California at three different time periods: (1) at baseline prior to any intervention (1999-2000), (2) the 4 years during the comprehensive psychosocial support intervention (2001-2004), and (3) the 2 years during a limited psychosocial support intervention (2004-2006). A cost-benefit analysis was performed to analyze whether the financial benefits from the intervention matched or exceeded the costs for NNRs. There was a significantly lower readmission rate of 1.0% (p = < .001) during the comprehensive intervention time period compared to baseline (2.3%) or to the limited intervention time period (2.3%). Although there was no significant difference in the average cost per newborn readmitted across the three study time periods, during the comprehensive intervention time period the average costs of a NNR were significantly lower ($4,180, p = .041) for the intervention group compared to those who received no intervention ($5,338). There was a cost benefit of 513,540 dollars due to fewer readmissions during the comprehensive time period, but it did not exceed the cost of the intervention. Providing comprehensive follow-up for new mothers in the postpartum period can reduce NNRs, thus lowering the average newborn readmission costs for those who receive psychosocial support. Followup for new mothers should be an accepted norm rather than the exception in postpartum care, but NNRs should not be considered the sole outcome in such programs.

Application of the IRT and TRT Models to a Reading Comprehension Test

ERIC Educational Resources Information Center

Kim, Weon H.

2017-01-01

The purpose of the present study is to apply the item response theory (IRT) and testlet response theory (TRT) models to a reading comprehension test. This study applied the TRT models and the traditional IRT model to a seventh-grade reading comprehension test (n = 8,815) with eight testlets. These three models were compared to determine the best…

A comprehensive mechanistic model for upward two-phase flow in wellbores

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

Sylvester, N.D.; Sarica, C.; Shoham, O.

1994-05-01

A comprehensive model is formulated to predict the flow behavior for upward two-phase flow. This model is composed of a model for flow-pattern prediction and a set of independent mechanistic models for predicting such flow characteristics as holdup and pressure drop in bubble, slug, and annular flow. The comprehensive model is evaluated by using a well data bank made up of 1,712 well cases covering a wide variety of field data. Model performance is also compared with six commonly used empirical correlations and the Hasan-Kabir mechanistic model. Overall model performance is in good agreement with the data. In comparison withmore » other methods, the comprehensive model performed the best.« less

A test of self-determination theory in school physical education.

PubMed

Standage, Martyn; Duda, Joan L; Ntoumanis, Nikos

2005-09-01

Contemporary research conducted in the context of school physical education (PE) has increasingly embraced various tenets of self-determination theory (Deci & Ryan, 1985, 1991). Despite this increase in research attention, some postulates of the framework remain unexplored (e.g. impact of a need-supportive climate). As such, the present study sought to provide a more comprehensive test of self-determination theory. The present work also examined Deci and Ryan's claim that the motivational sequence embraced by their framework is invariant across gender. (i) To examine a model of motivation based on the tenets of self-determination theory, and (ii) explore the invariance of the model across gender. Participants were 950 British secondary school students (443 male, 490 female, 17 gender not specified) Participants completed a questionnaire that included measures of need support, need satisfaction, motivation, positive and negative affect, task challenge, and concentration. Structural equation modelling (SEM) analysis revealed that students who perceived a need-supporting environment experienced greater levels of need satisfaction. Need satisfaction predicted intrinsic motivation, which, in turn, linked to adaptive PE-related outcomes. In contrast, need satisfaction negatively predicted amotivation, which, in turn, was positively predictive of feelings of unhappiness. Multisample SEM invariance testing revealed the model to be largely invariant for male and female students. The results of the study provide support for self-determination theory and corroborate the application of the framework to the context of school PE. Further, we largely found support for the invariance of the motivational processes embraced by self-determination theory across gender.

AAL service development loom--from the idea to a marketable business model.

PubMed

Kriegel, Johannes; Auinger, Klemens

2015-01-01

The Ambient Assisted Living (AAL) market is still in an early stage of development. Previous approaches of comprehensive AAL services are mostly supply-side driven and focused on hardware and software. Usually this type of AAL solutions does not lead to a sustainable success on the market. Research and development increasingly focuses on demand and customer requirements in addition to the social and legal framework. The question is: How can a systematic performance measurement strategy along a service development process support the market-ready design of a concrete business model for AAL service? Within the EU funded research project DALIA (Assistant for Daily Life Activities at Home) an iterative service development process uses an adapted Osterwalder business model canvas. The application of a performance measurement index (PMI) to support the process has been developed and tested. Development of an iterative service development model using a supporting PMI. The PMI framework is developed throughout the engineering of a virtual assistant (AVATAR) as a modular interface to connect informal carers with necessary and useful services. Future research should seek to ensure that the PMI enables meaningful transparency regarding targeting (e.g. innovative AAL service), design (e.g. functional hybrid AAL service) and implementation (e.g. marketable AAL support services). To this end, a further reference to further testing practices is required. The aim must be to develop a weighted PMI in the context of further research, which supports both the service engineering and the subsequent service management process.

MECHANISMS OF HYPNOSIS:

PubMed Central

Jensen, Mark P.; Adachi, Tomonori; Tomé-Pires, Catarina; Lee, Jikwan; Osman, Zubaidah Jamil; Miró, Jordi

2014-01-01

Evidence supports the efficacy of hypnotic treatments, but there remain many unresolved questions regarding how hypnosis produces its beneficial effects. Most theoretical models focus more or less on biological, psychological, and social factors. This scoping review summarizes the empirical findings regarding the associations between specific factors in each of these domains and response to hypnosis. The findings indicate that: (1) no single factor appears primary; (2) different factors may contribute more or less to outcomes in different subsets of individuals or for different conditions; and (3) comprehensive models of hypnosis that incorporate factors from all 3 domains may ultimately prove to be more useful than more restrictive models that focus on 1 or a very few factors. PMID:25365127

IOOS modeling subsystem: vision and implementation strategy

USGS Publications Warehouse

Rosenfeld, Leslie; Chao, Yi; Signell, Richard P.

2012-01-01

Numerical modeling is vital to achieving the U.S. IOOS® goals of predicting, understanding and adapting to change in the ocean and Great Lakes. In the next decade IOOS should cultivate a holistic approach to coastal ocean prediction, and encourage more balanced investment among the observing, modeling and information management subsystems. We believe the vision of a prediction framework driven by observations, and leveraging advanced technology and understanding of the ocean and Great Lakes, would lead to a new era for IOOS that would not only produce more powerful information, but would also capture broad community support, particularly from the general public, thus allowing IOOS to develop into the comprehensive information system that was envisioned at the outset.

A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis.

PubMed

Kim, Seongsoon; Park, Donghyeon; Choi, Yonghwa; Lee, Kyubum; Kim, Byounggun; Jeon, Minji; Kim, Jihye; Tan, Aik Choon; Kang, Jaewoo

2018-01-05

With the development of artificial intelligence (AI) technology centered on deep-learning, the computer has evolved to a point where it can read a given text and answer a question based on the context of the text. Such a specific task is known as the task of machine comprehension. Existing machine comprehension tasks mostly use datasets of general texts, such as news articles or elementary school-level storybooks. However, no attempt has been made to determine whether an up-to-date deep learning-based machine comprehension model can also process scientific literature containing expert-level knowledge, especially in the biomedical domain. This study aims to investigate whether a machine comprehension model can process biomedical articles as well as general texts. Since there is no dataset for the biomedical literature comprehension task, our work includes generating a large-scale question answering dataset using PubMed and manually evaluating the generated dataset. We present an attention-based deep neural model tailored to the biomedical domain. To further enhance the performance of our model, we used a pretrained word vector and biomedical entity type embedding. We also developed an ensemble method of combining the results of several independent models to reduce the variance of the answers from the models. The experimental results showed that our proposed deep neural network model outperformed the baseline model by more than 7% on the new dataset. We also evaluated human performance on the new dataset. The human evaluation result showed that our deep neural model outperformed humans in comprehension by 22% on average. In this work, we introduced a new task of machine comprehension in the biomedical domain using a deep neural model. Since there was no large-scale dataset for training deep neural models in the biomedical domain, we created the new cloze-style datasets Biomedical Knowledge Comprehension Title (BMKC_T) and Biomedical Knowledge Comprehension Last Sentence (BMKC_LS) (together referred to as BioMedical Knowledge Comprehension) using the PubMed corpus. The experimental results showed that the performance of our model is much higher than that of humans. We observed that our model performed consistently better regardless of the degree of difficulty of a text, whereas humans have difficulty when performing biomedical literature comprehension tasks that require expert level knowledge. ©Seongsoon Kim, Donghyeon Park, Yonghwa Choi, Kyubum Lee, Byounggun Kim, Minji Jeon, Jihye Kim, Aik Choon Tan, Jaewoo Kang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 05.01.2018.

Results Accountability for a State Early Childhood Comprehensive System: A Planning Guide for Improving the Well Being of Young Children and Their Families. Building State Early Childhood Comprehensive Systems Series. Number 4

ERIC Educational Resources Information Center

Friedman, Mark

2004-01-01

The federal Maternal and Child Health Bureau has launched a five-year initiative that will support state efforts to build comprehensive early childhood service systems. This initiative--the State Early Childhood Comprehensive Systems Initiative (SECCS)--provides two year planning grants followed by three year implementation grants to the 50 state…

More About Less: A Study of Language Comprehension

ERIC Educational Resources Information Center

Palermo, David S.

1973-01-01

Research supported by a grant from the National Science Foundation; reports results of experiments in general cognitive development of children tested for their comprehension of the words more'' and less'' (RS)

Guided Comprehension in the Primary Grades.

ERIC Educational Resources Information Center

McLaughlin, Maureen

Intended as a response to recent developments in reading research and a demand by primary-grade teachers for a comprehension-based instructional framework, this book adapts the Guided Comprehension Model introduced in the author/educator's book "Guided Comprehension: A Teaching Model for Grades 3-8." According to the book, the Guided…

Comprehensive School Reform and Achievement: A Meta-Analysis. Educator's Summary

ERIC Educational Resources Information Center

Center for Data-Driven Reform in Education (NJ3), 2008

2008-01-01

Which comprehensive school reform programs have been proven to help elementary and secondary students achieve? To find out, this review summarizes evidence on comprehensive school reform (CSR) models in elementary and secondary schools. Comprehensive school reform models are programs used schoolwide to improve student achievement. They typically…

The Comprehension and Validation of Social Information.

ERIC Educational Resources Information Center

Wyer, Robert S., Jr.; Radvansky, Gabriel A.

1999-01-01

Proposes a theory of social cognition to account for the comprehension and verification of social information. The theory views comprehension as a process of constructing situation models of new information on the basis of previously formed models about its referents. The comprehension of both single statements and multiple pieces of information…

The Impact of a Community-Based Intervention Including a Monthly Food Ration on Food Insecurity Among HIV-Positive Adults During the First Year of Antiretroviral Therapy.

PubMed

Rothman, Jessica; Kayigamba, Felix; Hills, Victoria; Gupta, Neil; Machara, Faustin; Niyigena, Peter; Franke, Molly F

2018-01-01

The objective of this study was to examine how food insecurity changed among HIV-positive adults during the first 12 months of combination antiretroviral therapy (cART) and whether any change differed according to the receipt of food support, which was provided in the context of a comprehensive community-based intervention. We conducted secondary data analyses of data from a prospective cohort study of the effectiveness of a community-based cART delivery model when added to clinic-based cART delivery in Rwanda. We included patients from four health centers that implemented a clinic-based cART delivery model alone and five health centers that additionally implemented the intervention, which included 10 months of food support. We compared food insecurity at 3, 6, and 12 months, relative to baseline, and stratified by receipt of the intervention. Relative to baseline, median food insecurity score decreased after 3, 6, and 12 months (p value <0.0001 for all) for patients receiving a food ration through the community-based model for cART delivery. Among patients receiving care under the clinic-based cART model, food insecurity scores remained unchanged at 3 and 12 months and were significantly higher after 6 months. In adjusted analyses, participants enrolled in the community-based intervention with a food ration had a lower risk of severe food insecurity and a lower risk of moderate or severe food insecurity after 12 months. A comprehensive community-based HIV program including a food ration likely contributes to an alleviation of food insecurity among adults newly initiating cART.

Risk of mortality after spinal cord injury: relationship with social support, education, and income.

PubMed

Krause, J S; Carter, R E

2009-08-01

Prospective cohort study. To identify the association of social support and socioeconomic factors with risk of early mortality among persons with spinal cord injury. Participants were identified from a large specialty hospital in the Southeastern United States. Data were collected by mailed survey, and mortality status was ascertained approximately 8 years later. The outcome was time from survey to mortality or censoring. Mortality status was determined using the National Death Index and the Social Security Death Index. There were 224 observed deaths (16.2%) in the full sample (n=1386). Because of missing data, the number of deaths used in the final analysis was 188 (out of 1249 participants). Cox proportional hazards modeling was used to build a comprehensive predictive model. After controlling for biographic and injury-related factors, two of four environmental predictors were retained in the final model including low income and general social support. Years of education and the upsets scale, another aspect of social support, were not retained in the final model. Inclusion of these variables resulted in only modest improvement in the prediction of survival compared with biographic and injury variables alone, as the pseudo-R(2) increased from 0.121 to 0.134 and the concordance from 0.730 to 0.751. Environmental factors are important predictors of mortality after spinal cord injury.

Extending the trans-contextual model in physical education and leisure-time contexts: examining the role of basic psychological need satisfaction.

PubMed

Barkoukis, Vassilis; Hagger, Martin S; Lambropoulos, George; Tsorbatzoudis, Haralambos

2010-12-01

The trans-contextual model (TCM) is an integrated model of motivation that aims to explain the processes by which agentic support for autonomous motivation in physical education promotes autonomous motivation and physical activity in a leisure-time context. It is proposed that perceived support for autonomous motivation in physical education is related to autonomous motivation in physical education and leisure-time contexts. Furthermore, relations between autonomous motivation and the immediate antecedents of intentions to engage in physical activity behaviour and actual behaviour are hypothesized. The purpose of the present study was to incorporate the constructs of basic psychological need satisfaction in the TCM to provide a more comprehensive explanation of motivation and demonstrate the robustness of the findings of previous tests of the model that have not incorporated these constructs. Students (N=274) from Greek secondary schools. Participants completed self-report measures of perceived autonomy support, autonomous motivation, and basic psychological need satisfaction in physical education. Follow-up measures of these variables were taken in a leisure-time context along with measures of attitudes, subjective norms, perceived behavioural control (PBC), and intentions from the theory of planned behaviour 1 week later. Self-reported physical activity behaviour was measured 4 weeks later. Results supported TCM hypotheses. Basic psychological need satisfaction variables uniquely predicted autonomous motivation in physical education and leisure time as well as the antecedents of intention, namely, attitudes, and PBC. The basic psychological need satisfaction variables also mediated the effects of perceived autonomy support on autonomous motivation in physical education. Findings support the TCM and provide further information of the mechanisms in the model and integrated theories of motivation in physical education and leisure time.

An Update on Improvements to NiCE Support for RELAP-7

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

McCaskey, Alex; Wojtowicz, Anna; Deyton, Jordan H.

The Multiphysics Object-Oriented Simulation Environment (MOOSE) is a framework that facilitates the development of applications that rely on finite-element analysis to solve a coupled, nonlinear system of partial differential equations. RELAP-7 represents an update to the venerable RELAP-5 simulator that is built upon this framework and attempts to model the balance-of-plant concerns in a full nuclear plant. This report details the continued support and integration of RELAP-7 and the NEAMS Integrated Computational Environment (NiCE). RELAP-7 is fully supported by the NiCE due to on-going work to tightly integrate NiCE with the MOOSE framework, and subsequently the applications built upon it.more » NiCE development throughout the first quarter of FY15 has focused on improvements, bug fixes, and feature additions to existing MOOSE-based application support. Specifically, this report will focus on improvements to the NiCE MOOSE Model Builder, the MOOSE application job launcher, and the 3D Nuclear Plant Viewer. This report also includes a comprehensive tutorial that guides RELAP-7 users through the basic NiCE workflow: from input generation and 3D Plant modeling, to massively parallel job launch and post-simulation data visualization.« less

Community College Student Retention: Determining the Effects of a Comprehensive Support and Access Intervention Program Targeting Low-Income and Working Poor at a Large Urban Minority-Serving Institution

ERIC Educational Resources Information Center

Saltiel, Henry

2011-01-01

A quasi-experiment using quantitative methods was conducted to examine the effects on academic student outcomes when a cohort of employed low-SES community college commuter students (the treatment group, N=198) participated in a comprehensive support and access intervention program, compared with similar students (the matched comparison group,…

Architectural approaches for HL7-based health information systems implementation.

PubMed

López, D M; Blobel, B

2010-01-01

Information systems integration is hard, especially when semantic and business process interoperability requirements need to be met. To succeed, a unified methodology, approaching different aspects of systems architecture such as business, information, computational, engineering and technology viewpoints, has to be considered. The paper contributes with an analysis and demonstration on how the HL7 standard set can support health information systems integration. Based on the Health Information Systems Development Framework (HIS-DF), common architectural models for HIS integration are analyzed. The framework is a standard-based, consistent, comprehensive, customizable, scalable methodology that supports the design of semantically interoperable health information systems and components. Three main architectural models for system integration are analyzed: the point to point interface, the messages server and the mediator models. Point to point interface and messages server models are completely supported by traditional HL7 version 2 and version 3 messaging. The HL7 v3 standard specification, combined with service-oriented, model-driven approaches provided by HIS-DF, makes the mediator model possible. The different integration scenarios are illustrated by describing a proof-of-concept implementation of an integrated public health surveillance system based on Enterprise Java Beans technology. Selecting the appropriate integration architecture is a fundamental issue of any software development project. HIS-DF provides a unique methodological approach guiding the development of healthcare integration projects. The mediator model - offered by the HIS-DF and supported in HL7 v3 artifacts - is the more promising one promoting the development of open, reusable, flexible, semantically interoperable, platform-independent, service-oriented and standard-based health information systems.

TethysCluster: A comprehensive approach for harnessing cloud resources for hydrologic modeling

NASA Astrophysics Data System (ADS)

Nelson, J.; Jones, N.; Ames, D. P.

2015-12-01

Advances in water resources modeling are improving the information that can be supplied to support decisions affecting the safety and sustainability of society. However, as water resources models become more sophisticated and data-intensive they require more computational power to run. Purchasing and maintaining the computing facilities needed to support certain modeling tasks has been cost-prohibitive for many organizations. With the advent of the cloud, the computing resources needed to address this challenge are now available and cost-effective, yet there still remains a significant technical barrier to leverage these resources. This barrier inhibits many decision makers and even trained engineers from taking advantage of the best science and tools available. Here we present the Python tools TethysCluster and CondorPy, that have been developed to lower the barrier to model computation in the cloud by providing (1) programmatic access to dynamically scalable computing resources, (2) a batch scheduling system to queue and dispatch the jobs to the computing resources, (3) data management for job inputs and outputs, and (4) the ability to dynamically create, submit, and monitor computing jobs. These Python tools leverage the open source, computing-resource management, and job management software, HTCondor, to offer a flexible and scalable distributed-computing environment. While TethysCluster and CondorPy can be used independently to provision computing resources and perform large modeling tasks, they have also been integrated into Tethys Platform, a development platform for water resources web apps, to enable computing support for modeling workflows and decision-support systems deployed as web apps.

Nutritional Science | Division of Cancer Prevention

Cancer.gov

This group promotes and supports studies establishing a comprehensive understanding of the precise role of diet and fo | Establishing a comprehensive understanding of diet and food components in cancer risk and tumor cell behavior.

"That's really clever!" Ironic hyperbole understanding in children.

PubMed

Aguert, Marc; LE Vallois, Coralie; Martel, Karine; Laval, Virginie

2018-01-01

Hyperbole supports irony comprehension in adults by heightening the contrast between what is said and the actual situation. Because young children do not perceive the communication situation as a whole, but rather give precedence to either the utterance or the context, we predicted that hyperbole would reduce irony comprehension in six-year-olds (n = 40) by overemphasizing what was said. By contrast, ten-year-olds (n = 40) would benefit from hyperbole in the way that adults do, as they would perceive the utterance and context as a whole, highlighted by the speaker's ironic intent. Short animated cartoons featuring ironic criticisms were shown to participants. We assessed comprehension of the speaker's belief and speaker's intent. Results supported our predictions. The development of mentalization during school years and its impact on the development of irony comprehension is discussed.

Structural response of 1/20-scale models of the Clinch River Breeder Reactor to a simulated hypothetical core disruptive accident. Technical report 4

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

Romander, C. M.; Cagliostro, D. J.

Five experiments were performed to help evaluate the structural integrity of the reactor vessel and head design and to verify code predictions. In the first experiment (SM 1), a detailed model of the head was loaded statically to determine its stiffness. In the remaining four experiments (SM 2 to SM 5), models of the vessel and head were loaded dynamically under a simulated 661 MW-sec hypothetical core disruptive accident (HCDA). Models SM 2 to SM 4, each of increasing complexity, systematically showed the effects of upper internals structures, a thermal liner, core support platform, and torospherical bottom on vessel response.more » Model SM 5, identical to SM 4 but more heavily instrumented, demonstrated experimental reproducibility and provided more comprehensive data. The models consisted of a Ni 200 vessel and core barrel, a head with shielding and simulated component masses, an upper internals structure (UIS), and, in the more complex models SM 4 and SM 5, a Ni 200 thermal liner and core support structure. Water simulated the liquid sodium coolant and a low-density explosive simulated the HCDA loads.« less

MODEM: A comprehensive approach to modelling outcome and costs impacts of interventions for dementia. Protocol paper.

PubMed

Comas-Herrera, Adelina; Knapp, Martin; Wittenberg, Raphael; Banerjee, Sube; Bowling, Ann; Grundy, Emily; Jagger, Carol; Farina, Nicolas; Lombard, Daniel; Lorenz, Klara; McDaid, David

2017-01-11

The MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia) explores how changes in arrangements for the future treatment and care of people living with dementia, and support for family and other unpaid carers, could result in better outcomes and more efficient use of resources. MODEM starts with a systematic mapping of the literature on effective and (potentially) cost-effective interventions in dementia care. Those findings, as well as data from a cohort, will then be used to model the quality of life and cost impacts of making these evidence-based interventions more widely available in England over the period from now to 2040. Modelling will use a suite of models, combining microsimulation and macrosimulation methods, modelling the costs and outcomes of care, both for an individual over the life-course from the point of dementia diagnosis, and for individuals and England as a whole in a particular year. Project outputs will include an online Dementia Evidence Toolkit, making evidence summaries and a literature database available free to anyone, papers in academic journals and other written outputs, and a MODEM Legacy Model, which will enable local commissioners of services to apply the model to their own populations. Modelling the effects of evidence-based cost-effective interventions and making this information widely available has the potential to improve the health and quality of life both of people with dementia and their carers, while ensuring that resources are used efficiently.