Sample records for accurate mental models

  1. Mental models accurately predict emotion transitions.

    PubMed

    Thornton, Mark A; Tamir, Diana I

    2017-06-06

    Successful social interactions depend on people's ability to predict others' future actions and emotions. People possess many mechanisms for perceiving others' current emotional states, but how might they use this information to predict others' future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. By attending to regularities in emotion transitions, perceivers might develop accurate mental models of others' emotional dynamics. People could then use these mental models of emotion transitions to predict others' future emotions from currently observable emotions. To test this hypothesis, studies 1-3 used data from three extant experience-sampling datasets to establish the actual rates of emotional transitions. We then collected three parallel datasets in which participants rated the transition likelihoods between the same set of emotions. Participants' ratings of emotion transitions predicted others' experienced transitional likelihoods with high accuracy. Study 4 demonstrated that four conceptual dimensions of mental state representation-valence, social impact, rationality, and human mind-inform participants' mental models. Study 5 used 2 million emotion reports on the Experience Project to replicate both of these findings: again people reported accurate models of emotion transitions, and these models were informed by the same four conceptual dimensions. Importantly, neither these conceptual dimensions nor holistic similarity could fully explain participants' accuracy, suggesting that their mental models contain accurate information about emotion dynamics above and beyond what might be predicted by static emotion knowledge alone.

  2. Mental models accurately predict emotion transitions

    PubMed Central

    Thornton, Mark A.; Tamir, Diana I.

    2017-01-01

    Successful social interactions depend on people’s ability to predict others’ future actions and emotions. People possess many mechanisms for perceiving others’ current emotional states, but how might they use this information to predict others’ future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. By attending to regularities in emotion transitions, perceivers might develop accurate mental models of others’ emotional dynamics. People could then use these mental models of emotion transitions to predict others’ future emotions from currently observable emotions. To test this hypothesis, studies 1–3 used data from three extant experience-sampling datasets to establish the actual rates of emotional transitions. We then collected three parallel datasets in which participants rated the transition likelihoods between the same set of emotions. Participants’ ratings of emotion transitions predicted others’ experienced transitional likelihoods with high accuracy. Study 4 demonstrated that four conceptual dimensions of mental state representation—valence, social impact, rationality, and human mind—inform participants’ mental models. Study 5 used 2 million emotion reports on the Experience Project to replicate both of these findings: again people reported accurate models of emotion transitions, and these models were informed by the same four conceptual dimensions. Importantly, neither these conceptual dimensions nor holistic similarity could fully explain participants’ accuracy, suggesting that their mental models contain accurate information about emotion dynamics above and beyond what might be predicted by static emotion knowledge alone. PMID:28533373

  3. Inhibition: Mental Control Process or Mental Resource?

    ERIC Educational Resources Information Center

    Im-Bolter, Nancie; Johnson, Janice; Ling, Daphne; Pascual-Leone, Juan

    2015-01-01

    The current study tested 2 models of inhibition in 45 children with language impairment and 45 children with normally developing language; children were aged 7 to 12 years. Of interest was whether a model of inhibition as a mental-control process (i.e., executive function) or as a mental resource would more accurately reflect the relations among…

  4. Does what you know matter? Investigating the relationship between mental models of climate change and pro-environmental behaviors

    NASA Astrophysics Data System (ADS)

    Davis, R.

    2013-12-01

    The purpose of this study is to test the conjecture that environmentally sustainable decisions and behaviors are related to individuals' conceptions of the natural world, in this case climate change; individuals' attitudes towards climate change; and the situations in which these decisions are made. The nature of mental models is an ongoing subject of disagreement. Some argue that mental models are coherent theories, much like scientific theories, that individuals employ systematically when reasoning about the world (Gopnik & Meltzoff, 1998). Others maintain that mental models are cobbled together from fragmented collections of ideas that are only loosely connected and context dependent (Disessa, 1988; Minstrell, 2000). It is likely that individuals sometimes reason about complex phenomena using systematic mental models and at other times reason using knowledge that is organized in fragmented pieces (Steedle & Shavelson, 2009). Thus, in measuring mental models of complex environmental systems, such as climate change, the assumption of systematicity may not be justified. Individuals may apply certain chains of reasoning in some contexts but not in others. The current study hypothesizes that an accurate mental model of climate change enables an individual to make effective evaluative judgments of environmental behavior options. The more an individual's mental model resembles that of an expert, the more consistent, accurate and automatic these judgments become. However, an accurate mental model is not sufficient to change environmental behavior. Real decisions and behaviors are products of a person-situation interaction: an interplay between psychosocial factors (such as knowledge and attitudes) and the situation in which the decision is made. This study investigates the relationship between both psychosocial and situational factors for climate change decisions. Data was collected from 436 adult participants through an online survey. The survey was comprised of

  5. Diagnosing Students' Mental Models via the Web-Based Mental Models Diagnosis System

    ERIC Educational Resources Information Center

    Wang, Tzu-Hua; Chiu, Mei-Hung; Lin, Jing-Wen; Chou, Chin-Cheng

    2013-01-01

    Mental models play an important role in science education research. To extend the effectiveness of conceptual change research and to improve mental model identi?cation and diagnosis, the authors developed and tested the Web-Based Mental Models Diagnosis (WMMD) system. In this article, they describe their WMMD system, which goes beyond the…

  6. Community Mental Health Model for Campus Mental Health Services.

    ERIC Educational Resources Information Center

    Banning, James H.

    University and college mental health services have historically modeled themselves after a traditional clinic model. Few delivery systems have been influenced by the community mental health model. The major reason for this lack of influence appears to be the "in loco parentis" stance of colleges and universities. A campus mental health service…

  7. Mental Disorder-The Need for an Accurate Definition.

    PubMed

    Telles-Correia, Diogo; Saraiva, Sérgio; Gonçalves, Jorge

    2018-01-01

    There are several reasons why a definition for mental disorder is essential. Among these are not only reasons linked to psychiatry itself as a science (nosology, research) but also to ethical, legal, and financial issues. The first formal definition of mental disorder resulted from a deep conceptual analysis led by Robert Spitzer. It emerged to address several challenges that psychiatry faced at the time, namely to serve as the starting point for an atheoretical and evidence-based classification of mental disorders, to justify the removal of homosexuality from classifications, and to counter the arguments of antipsychiatry. This definition has been updated, with some conceptual changes that make it depart from the main assumptions of Spitzer's original definition. In this article, we intend to review the factors that substantiated the emergence of the first formal definition of mental disorder that based all its later versions.

  8. A psychological model of mental disorder.

    PubMed

    Kinderman, Peter

    2005-01-01

    A coherent conceptualization of the role of psychological factors is of great importance in understanding mental disorder. Academic articles and professional reports alluding to psychological models of the etiology of mental disorder are becoming increasingly common, and there is evidence of a marked policy shift toward the provision of psychological therapies and interventions. This article discusses the relationship between biological, social, and psychological factors in the causation and treatment of mental disorder. It argues that simple biological reductionism is not scientifically justified, and also that the specific role of psychological processes within the biopsychosocial model requires further elaboration. The biopsychosocial model is usually interpreted as implying that biological, psychological, and social factors are co-equal partners in the etiology of mental disorder. The psychological model of mental disorder presented here suggests that disruption or dysfunction in psychological processes is a final common pathway in the development of mental disorder. These processes include, but are not limited to, cognitive processes. The model proposes that biological and social factors, together with a person's individual experiences, lead to mental disorder through their conjoint effects on those psychological processes. Implications for research, interventions, and policy are discussed.

  9. Biology Students’ Initial Mental Model about Microorganism

    NASA Astrophysics Data System (ADS)

    Hamdiyati, Y.; Sudargo, F.; Redjeki, S.; Fitriani, A.

    2017-02-01

    The purpose of this study was to identify biology students’ initial mental model about microorganism. This research used descriptive method with 32 sixth semester biology students at Biology Education Departement-Universitas Pendidikan Indonesia as its respondents. Data was taken at the beginning of the 6th semester before respondents endure microbiology course. Instrument used to assess mental model was drawing-writing test in which it contains concepts such as structure of bacteria, archaea, virus, and fungi. Students were asked to describe their imagination about the structure of microorganisms and subsequently asked to explain the structure of microorganisms in writing through open-ended questions. Students’ response was then compared to scientists or experts’ mental models as the targeted mental model. Student mental models were categorized into five levels (levels 1-5), namely “there is no drawing/writing,” “wrong or irrelevant drawing/writing of question,” “partially correct drawing/writing,” “the drawing/writing that has some deficiencies,” and “completely correct and complete drawing/writing.” Results showed that the level of mental models through drawing or writing about the four concepts were varied. The highest level of mental models through drawing (D5) was found in the concept of bacteria, while the highest level of mental models through writing (W3) was found in the concept of bacteria, virus, and fungi. Mental model levels most commonly found in each concept through drawing-writing tests (D/W) were bacteria (D2/W2), Archaea (D1/W1 and D2/W2), virus (D3/W3), and fungi (D2/W1). From these results it is advisable to improve lectures and assessment strategy to enhance or complement students’ mental models about microorganisms.

  10. Mental Models: A Robust Definition

    ERIC Educational Resources Information Center

    Rook, Laura

    2013-01-01

    Purpose: The concept of a mental model has been described by theorists from diverse disciplines. The purpose of this paper is to offer a robust definition of an individual mental model for use in organisational management. Design/methodology/approach: The approach adopted involves an interdisciplinary literature review of disciplines, including…

  11. Student Cognitive Difficulties and Mental Model Development of Complex Earth and Environmental Systems

    NASA Astrophysics Data System (ADS)

    Sell, K.; Herbert, B.; Schielack, J.

    2004-05-01

    Students organize scientific knowledge and reason about environmental issues through manipulation of mental models. The nature of the environmental sciences, which are focused on the study of complex, dynamic systems, may present cognitive difficulties to students in their development of authentic, accurate mental models of environmental systems. The inquiry project seeks to develop and assess the coupling of information technology (IT)-based learning with physical models in order to foster rich mental model development of environmental systems in geoscience undergraduate students. The manipulation of multiple representations, the development and testing of conceptual models based on available evidence, and exposure to authentic, complex and ill-constrained problems were the components of investigation utilized to reach the learning goals. Upper-level undergraduate students enrolled in an environmental geology course at Texas A&M University participated in this research which served as a pilot study. Data based on rubric evaluations interpreted by principal component analyses suggest students' understanding of the nature of scientific inquiry is limited and the ability to cross scales and link systems proved problematic. Results categorized into content knowledge and cognition processes where reasoning, critical thinking and cognitive load were driving factors behind difficulties in student learning. Student mental model development revealed multiple misconceptions and lacked complexity and completeness to represent the studied systems. Further, the positive learning impacts of the implemented modules favored the physical model over the IT-based learning projects, likely due to cognitive load issues. This study illustrates the need to better understand student difficulties in solving complex problems when using IT, where the appropriate scaffolding can then be implemented to enhance student learning of the earth system sciences.

  12. Do Different Mental Models Influence Cybersecurity Behavior? Evaluations via Statistical Reasoning Performance.

    PubMed

    Brase, Gary L; Vasserman, Eugene Y; Hsu, William

    2017-01-01

    Cybersecurity research often describes people as understanding internet security in terms of metaphorical mental models (e.g., disease risk, physical security risk, or criminal behavior risk). However, little research has directly evaluated if this is an accurate or productive framework. To assess this question, two experiments asked participants to respond to a statistical reasoning task framed in one of four different contexts (cybersecurity, plus the above alternative models). Each context was also presented using either percentages or natural frequencies, and these tasks were followed by a behavioral likelihood rating. As in previous research, consistent use of natural frequencies promoted correct Bayesian reasoning. There was little indication, however, that any of the alternative mental models generated consistently better understanding or reasoning over the actual cybersecurity context. There was some evidence that different models had some effects on patterns of responses, including the behavioral likelihood ratings, but these effects were small, as compared to the effect of the numerical format manipulation. This points to a need to improve the content of actual internet security warnings, rather than working to change the models users have of warnings.

  13. Do Different Mental Models Influence Cybersecurity Behavior? Evaluations via Statistical Reasoning Performance

    PubMed Central

    Brase, Gary L.; Vasserman, Eugene Y.; Hsu, William

    2017-01-01

    Cybersecurity research often describes people as understanding internet security in terms of metaphorical mental models (e.g., disease risk, physical security risk, or criminal behavior risk). However, little research has directly evaluated if this is an accurate or productive framework. To assess this question, two experiments asked participants to respond to a statistical reasoning task framed in one of four different contexts (cybersecurity, plus the above alternative models). Each context was also presented using either percentages or natural frequencies, and these tasks were followed by a behavioral likelihood rating. As in previous research, consistent use of natural frequencies promoted correct Bayesian reasoning. There was little indication, however, that any of the alternative mental models generated consistently better understanding or reasoning over the actual cybersecurity context. There was some evidence that different models had some effects on patterns of responses, including the behavioral likelihood ratings, but these effects were small, as compared to the effect of the numerical format manipulation. This points to a need to improve the content of actual internet security warnings, rather than working to change the models users have of warnings. PMID:29163304

  14. Students' Mental Models of Atomic Spectra

    ERIC Educational Resources Information Center

    Körhasan, Nilüfer Didis; Wang, Lu

    2016-01-01

    Mental modeling, which is a theory about knowledge organization, has been recently studied by science educators to examine students' understanding of scientific concepts. This qualitative study investigates undergraduate students' mental models of atomic spectra. Nine second-year physics students, who have already taken the basic chemistry and…

  15. A Model of Mental State Transition Network

    NASA Astrophysics Data System (ADS)

    Xiang, Hua; Jiang, Peilin; Xiao, Shuang; Ren, Fuji; Kuroiwa, Shingo

    Emotion is one of the most essential and basic attributes of human intelligence. Current AI (Artificial Intelligence) research is concentrating on physical components of emotion, rarely is it carried out from the view of psychology directly(1). Study on the model of artificial psychology is the first step in the development of human-computer interaction. As affective computing remains unpredictable, creating a reasonable mental model becomes the primary task for building a hybrid system. A pragmatic mental model is also the fundament of some key topics such as recognition and synthesis of emotions. In this paper a Mental State Transition Network Model(2) is proposed to detect human emotions. By a series of psychological experiments, we present a new way to predict coming human's emotions depending on the various current emotional states under various stimuli. Besides, people in different genders and characters are taken into consideration in our investigation. According to the psychological experiments data derived from 200 questionnaires, a Mental State Transition Network Model for describing the transitions in distribution among the emotions and relationships between internal mental situations and external are concluded. Further more the coefficients of the mental transition network model were achieved. Comparing seven relative evaluating experiments, an average precision rate of 0.843 is achieved using a set of samples for the proposed model.

  16. Team Learning: Building Shared Mental Models

    ERIC Educational Resources Information Center

    Van den Bossche, Piet; Gijselaers, Wim; Segers, Mien; Woltjer, Geert; Kirschner, Paul

    2011-01-01

    To gain insight in the social processes that underlie knowledge sharing in teams, this article questions which team learning behaviors lead to the construction of a shared mental model. Additionally, it explores how the development of shared mental models mediates the relation between team learning behaviors and team effectiveness. Analyses were…

  17. Students' Mental Models of the Environment

    ERIC Educational Resources Information Center

    Shepardson, Daniel P.; Wee, Bryan; Priddy, Michelle; Harbor, Jon

    2007-01-01

    What are students' mental models of the environment? In what ways, if any, do students' mental models vary by grade level or community setting? These two questions guided the research reported in this article. The Environments Task was administered to students from 25 different teacher-classrooms. The student responses were first inductively…

  18. Personality, relationship conflict, and teamwork-related mental models.

    PubMed

    Vîrgă, Delia; Curşeu, Petru Lucian; CurŞeu, Petru Lucian; Maricuţoiu, Laurenţiu; Sava, Florin A; Macsinga, Irina; Măgurean, Silvia

    2014-01-01

    This study seeks to explore whether neuroticism, agreeableness, and conscientiousness moderate the influence of relationship conflict experienced in groups on changes in group members' evaluative cognitions related to teamwork quality (teamwork-related mental models). Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach. Our results show that the experience of relationship conflict leads to a negative shift from the pre-task to the post-task teamwork-related mental models. Moreover, the results indicate that conscientiousness buffered the negative association between relationship conflict and the change in teamwork-related mental models. Our results did not support the hypothesized moderating effect of agreeableness and show that the detrimental effect of relationship conflict on the shift in teamwork-related mental models is accentuated for group members scoring low rather than high on neuroticism. These findings open new research venues for exploring the association between personality, coping styles and change in teamwork-related mental models.

  19. Personality, Relationship Conflict, and Teamwork-Related Mental Models

    PubMed Central

    Vîrgă, Delia; CurŞeu, Petru Lucian; Maricuţoiu, Laurenţiu; Sava, Florin A.; Macsinga, Irina; Măgurean, Silvia

    2014-01-01

    This study seeks to explore whether neuroticism, agreeableness, and conscientiousness moderate the influence of relationship conflict experienced in groups on changes in group members' evaluative cognitions related to teamwork quality (teamwork-related mental models). Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach. Our results show that the experience of relationship conflict leads to a negative shift from the pre-task to the post-task teamwork-related mental models. Moreover, the results indicate that conscientiousness buffered the negative association between relationship conflict and the change in teamwork-related mental models. Our results did not support the hypothesized moderating effect of agreeableness and show that the detrimental effect of relationship conflict on the shift in teamwork-related mental models is accentuated for group members scoring low rather than high on neuroticism. These findings open new research venues for exploring the association between personality, coping styles and change in teamwork-related mental models. PMID:25372143

  20. Mental Models for Mechanical Comprehension. A Review of Literature.

    DTIC Science & Technology

    1986-06-01

    the mental models that people use to understand and solve problems involving mechanics and motion. Method The existing psychological literature on...have been used to investigate mental models. The constructionist school is concerned with how mental models are formed. The information-processing...school uses the experimental methods of modern cognitive psychology to investigate mental structures. The componential approach attempts to meld the

  1. Causal reasoning with mental models

    PubMed Central

    Khemlani, Sangeet S.; Barbey, Aron K.; Johnson-Laird, Philip N.

    2014-01-01

    This paper outlines the model-based theory of causal reasoning. It postulates that the core meanings of causal assertions are deterministic and refer to temporally-ordered sets of possibilities: A causes B to occur means that given A, B occurs, whereas A enables B to occur means that given A, it is possible for B to occur. The paper shows how mental models represent such assertions, and how these models underlie deductive, inductive, and abductive reasoning yielding explanations. It reviews evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex. PMID:25389398

  2. Causal reasoning with mental models.

    PubMed

    Khemlani, Sangeet S; Barbey, Aron K; Johnson-Laird, Philip N

    2014-01-01

    This paper outlines the model-based theory of causal reasoning. It postulates that the core meanings of causal assertions are deterministic and refer to temporally-ordered sets of possibilities: A causes B to occur means that given A, B occurs, whereas A enables B to occur means that given A, it is possible for B to occur. The paper shows how mental models represent such assertions, and how these models underlie deductive, inductive, and abductive reasoning yielding explanations. It reviews evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex.

  3. Externalising Students' Mental Models through Concept Maps

    ERIC Educational Resources Information Center

    Chang, Shu-Nu

    2007-01-01

    The purpose of this study is to use concept maps as an "expressed model" to investigate students' mental models regarding the homeostasis of blood sugar. The difficulties in learning the concept of homeostasis and in probing mental models have been revealed in many studies. Homeostasis of blood sugar is one of the themes in junior high…

  4. Millennial Students' Mental Models of Information Retrieval

    ERIC Educational Resources Information Center

    Holman, Lucy

    2009-01-01

    This qualitative study examines first-year college students' online search habits in order to identify patterns in millennials' mental models of information retrieval. The study employed a combination of modified contextual inquiry and concept mapping methodologies to elicit students' mental models. The researcher confirmed previously observed…

  5. The concept of shared mental models in healthcare collaboration.

    PubMed

    McComb, Sara; Simpson, Vicki

    2014-07-01

    To report an analysis of the concept of shared mental models in health care. Shared mental models have been described as facilitators of effective teamwork. The complexity and criticality of the current healthcare system requires shared mental models to enhance safe and effective patient/client care. Yet, the current concept definition in the healthcare literature is vague and, therefore, difficult to apply consistently in research and practice. Concept analysis. Literature for this concept analysis was retrieved from several databases, including CINAHL, PubMed and MEDLINE (EBSCO Interface), for the years 1997-2013. Walker and Avant's approach to concept analysis was employed and, following Paley's guidance, embedded in extant theory from the team literature. Although teamwork and collaboration are discussed frequently in healthcare literature, the concept of shared mental models in that context is not as commonly found but is increasing in appearance. Our concept analysis defines shared mental models as individually held knowledge structures that help team members function collaboratively in their environments and are comprised of the attributes of content, similarity, accuracy and dynamics. This theoretically grounded concept analysis provides a foundation for a middle-range descriptive theory of shared mental models in nursing and health care. Further research concerning the impact of shared mental models in the healthcare setting can result in development and refinement of shared mental models to support effective teamwork and collaboration. © 2013 John Wiley & Sons Ltd.

  6. Accurate lithography simulation model based on convolutional neural networks

    NASA Astrophysics Data System (ADS)

    Watanabe, Yuki; Kimura, Taiki; Matsunawa, Tetsuaki; Nojima, Shigeki

    2017-07-01

    Lithography simulation is an essential technique for today's semiconductor manufacturing process. In order to calculate an entire chip in realistic time, compact resist model is commonly used. The model is established for faster calculation. To have accurate compact resist model, it is necessary to fix a complicated non-linear model function. However, it is difficult to decide an appropriate function manually because there are many options. This paper proposes a new compact resist model using CNN (Convolutional Neural Networks) which is one of deep learning techniques. CNN model makes it possible to determine an appropriate model function and achieve accurate simulation. Experimental results show CNN model can reduce CD prediction errors by 70% compared with the conventional model.

  7. Mental models as indicators of scientific thinking

    NASA Astrophysics Data System (ADS)

    Derosa, Donald Anthony

    One goal of science education reform is student attainment of scientific literacy. Therefore, it is imperative for science educators to identify its salient elements. A dimension of scientific literacy that warrants careful consideration is scientific thinking and effective ways to foster scientific thinking among students. This study examined the use of mental models as evidence of scientific thinking in the context of two instructional approaches, transmissional and constructivist. Types of mental models, frequency of explanative information, and scores on problem solving transfer questions were measured and compared among subjects in each instructional context. Methods. Subjects consisted of sophomore biology students enrolled in general biology courses at three public high schools. The Group Assessment of Logical Thinking instrument was used to identify two equivalent groups with an N of 65. Each group was taught the molecular basis of sickle cell anemia and the principles of hemoglobin gel electrophoresis using one of the two instructional approaches at their schools during five instructional periods over the course of one week. Laboratory equipment and materials were provided by Boston University School of Medicine's MobileLab program. Following the instructional periods, each subject was asked to think aloud while responding to four problem solving transfer questions. Each response was audiotaped and videotaped. The interviews were transcribed and coded to identify types of mental models and explanative information. Subjects' answers to the problem solving transfer questions were scored using a rubric. Results. Students taught in a constructivist context tended to use more complete mental models than students taught in a transmissional context. Fifty-two percent of constructivist subjects and forty-four percent of transmissional subjects demonstrated evidence of relevant mental models. Overall fifty-two percent of the subjects expressed naive mental models

  8. Using concept maps to describe undergraduate students’ mental model in microbiology course

    NASA Astrophysics Data System (ADS)

    Hamdiyati, Y.; Sudargo, F.; Redjeki, S.; Fitriani, A.

    2018-05-01

    The purpose of this research was to describe students’ mental model in a mental model based-microbiology course using concept map as assessment tool. Respondents were 5th semester of undergraduate students of Biology Education of Universitas Pendidikan Indonesia. The mental modelling instrument used was concept maps. Data were taken on Bacteria sub subject. A concept map rubric was subsequently developed with a maximum score of 4. Quantitative data was converted into a qualitative one to determine mental model level, namely: emergent = score 1, transitional = score 2, close to extended = score 3, and extended = score 4. The results showed that mental model level on bacteria sub subject before the implementation of mental model based-microbiology course was at the transitional level. After implementation of mental model based-microbiology course, mental model was at transitional level, close to extended, and extended. This indicated an increase in the level of students’ mental model after the implementation of mental model based-microbiology course using concept map as assessment tool.

  9. Children's understanding of mental illness: an exploratory study.

    PubMed

    Fox, C; Buchanan-Barrow, E; Barrett, M

    2008-01-01

    This study aimed to investigate children's thinking about mental illness by employing a well-established framework of adult illness understanding. The study adopted a semistructured interview technique and a card selection task to assess children's responses to causes, consequences, timeline and curability of the different types of mental illness. The children were aged between 5 and 11 years. Results indicated a developmental trend in the children's thinking about mental illness; there was an increase in the children's understanding of the causes, consequences, curability and timeline of mental illness with age. The older children demonstrated a more sophisticated and accurate thinking about mental illness compared with the younger children, who tended to rely on a medical model in order to comprehend novel mental illnesses. Furthermore, the girls exhibited more compassion, showing greater social acceptance compared with the boys. The Leventhal model provides a useful framework within which to investigate children's knowledge and understanding of mental illness. Limitations of the study and implications for future research are discussed.

  10. Mental models of audit and feedback in primary care settings.

    PubMed

    Hysong, Sylvia J; Smitham, Kristen; SoRelle, Richard; Amspoker, Amber; Hughes, Ashley M; Haidet, Paul

    2018-05-30

    Audit and feedback has been shown to be instrumental in improving quality of care, particularly in outpatient settings. The mental model individuals and organizations hold regarding audit and feedback can moderate its effectiveness, yet this has received limited study in the quality improvement literature. In this study we sought to uncover patterns in mental models of current feedback practices within high- and low-performing healthcare facilities. We purposively sampled 16 geographically dispersed VA hospitals based on high and low performance on a set of chronic and preventive care measures. We interviewed up to 4 personnel from each location (n = 48) to determine the facility's receptivity to audit and feedback practices. Interview transcripts were analyzed via content and framework analysis to identify emergent themes. We found high variability in the mental models of audit and feedback, which we organized into positive and negative themes. We were unable to associate mental models of audit and feedback with clinical performance due to high variance in facility performance over time. Positive mental models exhibit perceived utility of audit and feedback practices in improving performance; whereas, negative mental models did not. Results speak to the variability of mental models of feedback, highlighting how facilities perceive current audit and feedback practices. Findings are consistent with prior research  in that variability in feedback mental models is associated with lower performance.; Future research should seek to empirically link mental models revealed in this paper to high and low levels of clinical performance.

  11. Low-dimensional, morphologically accurate models of subthreshold membrane potential

    PubMed Central

    Kellems, Anthony R.; Roos, Derrick; Xiao, Nan; Cox, Steven J.

    2009-01-01

    The accurate simulation of a neuron’s ability to integrate distributed synaptic input typically requires the simultaneous solution of tens of thousands of ordinary differential equations. For, in order to understand how a cell distinguishes between input patterns we apparently need a model that is biophysically accurate down to the space scale of a single spine, i.e., 1 μm. We argue here that one can retain this highly detailed input structure while dramatically reducing the overall system dimension if one is content to accurately reproduce the associated membrane potential at a small number of places, e.g., at the site of action potential initiation, under subthreshold stimulation. The latter hypothesis permits us to approximate the active cell model with an associated quasi-active model, which in turn we reduce by both time-domain (Balanced Truncation) and frequency-domain (ℋ2 approximation of the transfer function) methods. We apply and contrast these methods on a suite of typical cells, achieving up to four orders of magnitude in dimension reduction and an associated speed-up in the simulation of dendritic democratization and resonance. We also append a threshold mechanism and indicate that this reduction has the potential to deliver an accurate quasi-integrate and fire model. PMID:19172386

  12. Biogenetic models of psychopathology, implicit guilt, and mental illness stigma.

    PubMed

    Rüsch, Nicolas; Todd, Andrew R; Bodenhausen, Galen V; Corrigan, Patrick W

    2010-10-30

    Whereas some research suggests that acknowledgment of the role of biogenetic factors in mental illness could reduce mental illness stigma by diminishing perceived responsibility, other research has cautioned that emphasizing biogenetic aspects of mental illness could produce the impression that mental illness is a stable, intrinsic aspect of a person ("genetic essentialism"), increasing the desire for social distance. We assessed genetic and neurobiological causal attributions about mental illness among 85 people with serious mental illness and 50 members of the public. The perceived responsibility of persons with mental illness for their condition, as well as fear and social distance, was assessed by self-report. Automatic associations between Mental Illness and Guilt and between Self and Guilt were measured by the Brief Implicit Association Test. Among the general public, endorsement of biogenetic models was associated with not only less perceived responsibility, but also greater social distance. Among people with mental illness, endorsement of genetic models had only negative correlates: greater explicit fear and stronger implicit self-guilt associations. Genetic models may have unexpected negative consequences for implicit self-concept and explicit attitudes of people with serious mental illness. An exclusive focus on genetic models may therefore be problematic for clinical practice and anti-stigma initiatives. Copyright © 2009 Elsevier Ltd. All rights reserved.

  13. An Accurate and Dynamic Computer Graphics Muscle Model

    NASA Technical Reports Server (NTRS)

    Levine, David Asher

    1997-01-01

    A computer based musculo-skeletal model was developed at the University in the departments of Mechanical and Biomedical Engineering. This model accurately represents human shoulder kinematics. The result of this model is the graphical display of bones moving through an appropriate range of motion based on inputs of EMGs and external forces. The need existed to incorporate a geometric muscle model in the larger musculo-skeletal model. Previous muscle models did not accurately represent muscle geometries, nor did they account for the kinematics of tendons. This thesis covers the creation of a new muscle model for use in the above musculo-skeletal model. This muscle model was based on anatomical data from the Visible Human Project (VHP) cadaver study. Two-dimensional digital images from the VHP were analyzed and reconstructed to recreate the three-dimensional muscle geometries. The recreated geometries were smoothed, reduced, and sliced to form data files defining the surfaces of each muscle. The muscle modeling function opened these files during run-time and recreated the muscle surface. The modeling function applied constant volume limitations to the muscle and constant geometry limitations to the tendons.

  14. The Learners' Mental Models of Television in Mathematics.

    ERIC Educational Resources Information Center

    Sumalee, Chaijaroen

    1999-01-01

    Examines the learners' mental models of television in actual media classroom activity by which knowledge was constructed. Findings revealed how media capabilities and the instructional designs that employ them interact with the learners and the task characteristics to influence the formation of the learners' mental models and their learning…

  15. Effects of Scenario Planning on Participant Mental Models

    ERIC Educational Resources Information Center

    Glick, Margaret B.; Chermack, Thomas J.; Luckel, Henry; Gauck, Brian Q.

    2012-01-01

    Purpose: The purpose of this paper is to assess the effects of scenario planning on participant mental model styles. Design/methodology/approach: The scenario planning literature is consistent with claims that scenario planning can change individual mental models. These claims are supported by anecdotal evidence and stories from the practical…

  16. An investigation of the mentalization-based model of borderline pathology in adolescents.

    PubMed

    Quek, Jeremy; Bennett, Clair; Melvin, Glenn A; Saeedi, Naysun; Gordon, Michael S; Newman, Louise K

    2018-07-01

    According to mentalization-based theory, transgenerational transmission of mentalization from caregiver to offspring is implicated in the pathogenesis of borderline personality disorder (BPD). Recent research has demonstrated an association between hypermentalizing (excessive, inaccurate mental state reasoning) and BPD, indicating the particular relevance of this form of mentalizing dysfunction to the transgenerational mentalization-based model. As yet, no study has empirically assessed a transgenerational mentalization-based model of BPD. The current study sought firstly to test the mentalization-based model, and additionally, to determine the form of mentalizing dysfunction in caregivers (e.g., hypo- or hypermentalizing) most relevant to a hypermentalizing model of BPD. Participants were a mixed sample of adolescents with BPD and a sample of non-clinical adolescents, and their respective primary caregivers (n = 102; 51 dyads). Using an ecologically valid measure of mentalization, mediational analyses were conducted to examine the relationships between caregiver mentalizing, adolescent mentalizing, and adolescent borderline features. Findings demonstrated that adolescent mentalization mediated the effect of caregiver mentalization on adolescent borderline personality pathology. Furthermore, results indicated that hypomentalizing in caregivers was related to adolescent borderline personality pathology via an effect on adolescent hypermentalizing. Results provide empirical support for the mentalization-based model of BPD, and suggest the indirect influence of caregiver mentalization on adolescent borderline psychopathology. Results further indicate the relevance of caregiver hypomentalizing to a hypermentalizing model of BPD. Copyright © 2018 Elsevier Inc. All rights reserved.

  17. Patients' mental models and adherence to outpatient physical therapy home exercise programs.

    PubMed

    Rizzo, Jon

    2015-05-01

    Within physical therapy, patient adherence usually relates to attending appointments, following advice, and/or undertaking prescribed exercise. Similar to findings for general medical adherence, patient adherence to physical therapy home exercise programs (HEP) is estimated between 35 and 72%. Adherence to HEPs is a multifactorial and poorly understood phenomenon, with no consensus regarding a common theoretical framework that best guides empirical or clinical efforts. Mental models, a construct used to explain behavior and decision-making in the social sciences, may serve as this framework. Mental models comprise an individual's tacit thoughts about how the world works. They include assumptions about new experiences and expectations for the future based on implicit comparisons between current and past experiences. Mental models play an important role in decision-making and guiding actions. This professional theoretical article discusses empirical research demonstrating relationships among mental models, prior experience, and adherence decisions in medical and physical therapy contexts. Specific issues related to mental models and physical therapy patient adherence are discussed, including the importance of articulation of patients' mental models, assessment of patients' mental models that relate to exercise program adherence, discrepancy between patient and provider mental models, and revision of patients' mental models in ways that enhance adherence. The article concludes with practical implications for physical therapists and recommendations for further research to better understand the role of mental models in physical therapy patient adherence behavior.

  18. Seventh Grade Students' Mental Models of the Greenhouse Effect

    ERIC Educational Resources Information Center

    Shepardson, Daniel P.; Choi, Soyoung; Niyogi, Dev; Charusombat, Umarporn

    2011-01-01

    This constructivist study investigates 225 student drawings and explanations from three different schools in the midwest in the US, to identify seventh grade students' mental models of the greenhouse effect. Five distinct mental models were derived from an inductive analysis of the content of the students' drawings and explanations: Model 1, a…

  19. Accurate modelling of unsteady flows in collapsible tubes.

    PubMed

    Marchandise, Emilie; Flaud, Patrice

    2010-01-01

    The context of this paper is the development of a general and efficient numerical haemodynamic tool to help clinicians and researchers in understanding of physiological flow phenomena. We propose an accurate one-dimensional Runge-Kutta discontinuous Galerkin (RK-DG) method coupled with lumped parameter models for the boundary conditions. The suggested model has already been successfully applied to haemodynamics in arteries and is now extended for the flow in collapsible tubes such as veins. The main difference with cardiovascular simulations is that the flow may become supercritical and elastic jumps may appear with the numerical consequence that scheme may not remain monotone if no limiting procedure is introduced. We show that our second-order RK-DG method equipped with an approximate Roe's Riemann solver and a slope-limiting procedure allows us to capture elastic jumps accurately. Moreover, this paper demonstrates that the complex physics associated with such flows is more accurately modelled than with traditional methods such as finite difference methods or finite volumes. We present various benchmark problems that show the flexibility and applicability of the numerical method. Our solutions are compared with analytical solutions when they are available and with solutions obtained using other numerical methods. Finally, to illustrate the clinical interest, we study the emptying process in a calf vein squeezed by contracting skeletal muscle in a normal and pathological subject. We compare our results with experimental simulations and discuss the sensitivity to parameters of our model.

  20. Thai students' mental model of chemical bonding

    NASA Astrophysics Data System (ADS)

    Sarawan, Supawadee; Yuenyong, Chokchai

    2018-01-01

    This Research was finding the viewing about concept of chemical bonding is fundamental to subsequent learning of various other topics related to this concept in chemistry. Any conceptions about atomic structures that students have will be shown their further learning. The purpose of this study is to interviews conceptions held by high school chemistry students about metallic bonding and to reveal mental model of atomic structures show according to the educational level. With this aim, the questionnaire prepared making use of the literature and administered for analysis about mental model of chemical bonding. It was determined from the analysis of answers of questionnaire the 10th grade, 11th grade and 12th grade students. Finally, each was shown prompts in the form of focus cards derived from curriculum material that showed ways in which the bonding in specific metallic substances had been depicted. Students' responses revealed that learners across all three levels prefer simple, realistic mental models for metallic bonding and reveal to chemical bonding.

  1. Spatio-temporal models of mental processes from fMRI.

    PubMed

    Janoos, Firdaus; Machiraju, Raghu; Singh, Shantanu; Morocz, Istvan Ákos

    2011-07-15

    Understanding the highly complex, spatially distributed and temporally organized phenomena entailed by mental processes using functional MRI is an important research problem in cognitive and clinical neuroscience. Conventional analysis methods focus on the spatial dimension of the data discarding the information about brain function contained in the temporal dimension. This paper presents a fully spatio-temporal multivariate analysis method using a state-space model (SSM) for brain function that yields not only spatial maps of activity but also its temporal structure along with spatially varying estimates of the hemodynamic response. Efficient algorithms for estimating the parameters along with quantitative validations are given. A novel low-dimensional feature-space for representing the data, based on a formal definition of functional similarity, is derived. Quantitative validation of the model and the estimation algorithms is provided with a simulation study. Using a real fMRI study for mental arithmetic, the ability of this neurophysiologically inspired model to represent the spatio-temporal information corresponding to mental processes is demonstrated. Moreover, by comparing the models across multiple subjects, natural patterns in mental processes organized according to different mental abilities are revealed. Copyright © 2011 Elsevier Inc. All rights reserved.

  2. Teaching Mental Abacus Calculation to Students with Mental Retardation

    ERIC Educational Resources Information Center

    Shen, Hong

    2006-01-01

    The abacus is a calculating tool that has been used in Asia for thousands of years. Mental abacus calculation is a skill in which an abacus image in the mind is used without the actual physical manipulation of the abacus. Using this method, people can perform extremely rapid and accurate mental calculations. Research indicates that abacus training…

  3. The Conceptual Framework of Factors Affecting Shared Mental Model

    ERIC Educational Resources Information Center

    Lee, Miyoung; Johnson, Tristan; Lee, Youngmin; O'Connor, Debra; Khalil, Mohammed

    2004-01-01

    Many researchers have paid attention to the potentiality and possibility of the shared mental model because it enables teammates to perform their job better by sharing team knowledge, skills, attitudes, dynamics and environments. Even though theoretical and experimental evidences provide a close relationship between the shared mental model and…

  4. Evaluating Mental Models in Mathematics: A Comparison of Methods

    ERIC Educational Resources Information Center

    Gogus, Aytac

    2013-01-01

    Cognitive scientists investigate mental models (how humans organize and structure knowledge in their minds) so as to understand human understanding of and interactions with the world. Cognitive and mental model research is concerned with internal conceptual systems that are not easily or directly observable. The goal of this research was to…

  5. Accurate Modeling Method for Cu Interconnect

    NASA Astrophysics Data System (ADS)

    Yamada, Kenta; Kitahara, Hiroshi; Asai, Yoshihiko; Sakamoto, Hideo; Okada, Norio; Yasuda, Makoto; Oda, Noriaki; Sakurai, Michio; Hiroi, Masayuki; Takewaki, Toshiyuki; Ohnishi, Sadayuki; Iguchi, Manabu; Minda, Hiroyasu; Suzuki, Mieko

    This paper proposes an accurate modeling method of the copper interconnect cross-section in which the width and thickness dependence on layout patterns and density caused by processes (CMP, etching, sputtering, lithography, and so on) are fully, incorporated and universally expressed. In addition, we have developed specific test patterns for the model parameters extraction, and an efficient extraction flow. We have extracted the model parameters for 0.15μm CMOS using this method and confirmed that 10%τpd error normally observed with conventional LPE (Layout Parameters Extraction) was completely dissolved. Moreover, it is verified that the model can be applied to more advanced technologies (90nm, 65nm and 55nm CMOS). Since the interconnect delay variations due to the processes constitute a significant part of what have conventionally been treated as random variations, use of the proposed model could enable one to greatly narrow the guardbands required to guarantee a desired yield, thereby facilitating design closure.

  6. Towards a National Mental Retardation Manpower Model for Canada.

    ERIC Educational Resources Information Center

    Linton, Thomas E.

    The stated need for developing a national mental retardation manpower model for Canada is not the manpower shortages in mental retardation, but the unsound conceptual and functional approaches to the socialization and education of the mentally retarded. The report is divided into the four major areas investigated by a task force. First, the…

  7. Students’ mental model in electric current

    NASA Astrophysics Data System (ADS)

    Pramesti, Y. S.; Setyowidodo, I.

    2018-05-01

    Electricity is one of essential topic in learning physics. This topic was studied in elementary until university level. Although electricity was related to our daily activities, but it doesn’t ensure that students have the correct concept. The aim of this research was to investigate and then categorized the students’ mental model. Subject consisted of 59 students of mechanical engineering that studied Physics for Engineering. This study was used a qualitative approach that used in this research is phenomenology. Data were analyzed qualitatively by using pre-test, post-test, and investigation for discovering further information. Three models were reported, showing a pattern which related to individual way of thinking about electric current. The mental model that was discovered in this research are: 1) electric current as a flow; 2) electric current as a source of energy, 3) electric current as a moving charge.

  8. Acquisition of Complex Systemic Thinking: Mental Models of Evolution

    ERIC Educational Resources Information Center

    d'Apollonia, Sylvia T.; Charles, Elizabeth S.; Boyd, Gary M.

    2004-01-01

    We investigated the impact of introducing college students to complex adaptive systems on their subsequent mental models of evolution compared to those of students taught in the same manner but with no reference to complex systems. The students' mental models (derived from similarity ratings of 12 evolutionary terms using the pathfinder algorithm)…

  9. Prospective Chemistry Teachers' Mental Models of Vapor Pressure

    ERIC Educational Resources Information Center

    Tumay, Halil

    2014-01-01

    The main purpose of this study was to identify prospective chemistry teachers' mental models of vapor pressure. The study involved 85 students in the Chemistry Teacher Training Department of a state university in Turkey. Participants' mental models of vapor pressure were explored using a concept test that involved qualitative comparison tasks.…

  10. Problem solving based learning model with multiple representations to improve student's mental modelling ability on physics

    NASA Astrophysics Data System (ADS)

    Haili, Hasnawati; Maknun, Johar; Siahaan, Parsaoran

    2017-08-01

    Physics is a lessons that related to students' daily experience. Therefore, before the students studying in class formally, actually they have already have a visualization and prior knowledge about natural phenomenon and could wide it themselves. The learning process in class should be aimed to detect, process, construct, and use students' mental model. So, students' mental model agree with and builds in the right concept. The previous study held in MAN 1 Muna informs that in learning process the teacher did not pay attention students' mental model. As a consequence, the learning process has not tried to build students' mental modelling ability (MMA). The purpose of this study is to describe the improvement of students' MMA as a effect of problem solving based learning model with multiple representations approach. This study is pre experimental design with one group pre post. It is conducted in XI IPA MAN 1 Muna 2016/2017. Data collection uses problem solving test concept the kinetic theory of gasses and interview to get students' MMA. The result of this study is clarification students' MMA which is categorized in 3 category; High Mental Modelling Ability (H-MMA) for 7Mental Modelling Ability (M-MMA) for 3< x ≤ 7 score, and Low Mental Modelling Ability (L-MMA) for 0 ≤ x ≤ 3 score. The result shows that problem solving based learning model with multiple representations approach can be an alternative to be applied in improving students' MMA.

  11. Peer Models in Mental Health for Caregivers and Families.

    PubMed

    Acri, Mary; Hooley, Cole D; Richardson, Nicole; Moaba, Lily B

    2017-02-01

    Peer-delivered mental health models may hold important benefits for family members, yet their prevalence, components, and outcomes are unknown. We conducted a review of peer-delivered services for families of children and adults with mental health problems. Randomized studies of interventions published between 1990 and 2014 were included if the intervention contained a component for family members and examined familial outcomes. Of 77 studies that were assessed for their eligibility, six met criteria. Familial components included coping and parenting skills, knowledge about mental health, and emotional support. Outcomes were uneven, although significant improvements in family functioning, knowledge about mental illness, parental concerns about their child, and parenting skills were associated with the intervention. Peer-delivered services for family members may have important benefits to family members and individuals with mental health problems; however, the research base remains thin. A research agenda to develop and examine these models is discussed.

  12. Using Computational Simulations to Confront Students' Mental Models

    ERIC Educational Resources Information Center

    Rodrigues, R.; Carvalho, P. Simeão

    2014-01-01

    In this paper we show an example of how to use a computational simulation to obtain visual feedback for students' mental models, and compare their predictions with the simulated system's behaviour. Additionally, we use the computational simulation to incrementally modify the students' mental models in order to accommodate new data,…

  13. Moving From Static to Dynamic Models of the Onset of Mental Disorder: A Review.

    PubMed

    Nelson, Barnaby; McGorry, Patrick D; Wichers, Marieke; Wigman, Johanna T W; Hartmann, Jessica A

    2017-05-01

    more accurately model the dynamic nature of psychopathology and system change as well as have treatment implications, such as introducing a means of identifying critical periods of risk for mental state deterioration.

  14. Mental Models: Understanding the Impact of Fantasy Violence on Children's Moral Reasoning.

    ERIC Educational Resources Information Center

    Krcmar, Marina; Curtis, Stephen

    2003-01-01

    Tests the efficacy of mental models in understanding the effect of exposure to fantasy violence on children's responses to and reasoning about moral dilemmas involving aggression. Offers a possible extension to mental models that is consistent with current theory in cognitive science. Suggests that the activation of mental models regarding…

  15. 3ARM: A Fast, Accurate Radiative Transfer Model for Use in Climate Models

    NASA Technical Reports Server (NTRS)

    Bergstrom, R. W.; Kinne, S.; Sokolik, I. N.; Toon, O. B.; Mlawer, E. J.; Clough, S. A.; Ackerman, T. P.; Mather, J.

    1996-01-01

    A new radiative transfer model combining the efforts of three groups of researchers is discussed. The model accurately computes radiative transfer in a inhomogeneous absorbing, scattering and emitting atmospheres. As an illustration of the model, results are shown for the effects of dust on the thermal radiation.

  16. 3ARM: A Fast, Accurate Radiative Transfer Model for use in Climate Models

    NASA Technical Reports Server (NTRS)

    Bergstrom, R. W.; Kinne, S.; Sokolik, I. N.; Toon, O. B.; Mlawer, E. J.; Clough, S. A.; Ackerman, T. P.; Mather, J.

    1996-01-01

    A new radiative transfer model combining the efforts of three groups of researchers is discussed. The model accurately computes radiative transfer in a inhomogeneous absorbing, scattering and emitting atmospheres. As an illustration of the model, results are shown for the effects of dust on the thermal radiation.

  17. 3ARM: A Fast, Accurate Radiative Transfer Model For Use in Climate Models

    NASA Technical Reports Server (NTRS)

    Bergstrom, R. W.; Kinne, S.; Sokolik, I. N.; Toon, O. B.; Mlawer, E. J.; Clough, S. A.; Ackerman, T. P.; Mather, J.

    1996-01-01

    A new radiative transfer model combining the efforts of three groups of researchers is discussed. The model accurately computes radiative transfer in a inhomogeneous absorbing, scattering and emitting atmospheres. As an illustration of the model, results are shown for the effects of dust on the thermal radiation.

  18. Causal Reasoning with Mental Models

    DTIC Science & Technology

    2014-08-08

    The initial rubric is equivalent to an exclusive disjunction between the two causal assertions. It 488 yields the following two mental models: 489...are 575 important, whereas the functions of artifacts are important (Ahn, 1998). A genetic code is 576 accordingly more critical to being a goat than

  19. Can phenological models predict tree phenology accurately under climate change conditions?

    NASA Astrophysics Data System (ADS)

    Chuine, Isabelle; Bonhomme, Marc; Legave, Jean Michel; García de Cortázar-Atauri, Inaki; Charrier, Guillaume; Lacointe, André; Améglio, Thierry

    2014-05-01

    The onset of the growing season of trees has been globally earlier by 2.3 days/decade during the last 50 years because of global warming and this trend is predicted to continue according to climate forecast. The effect of temperature on plant phenology is however not linear because temperature has a dual effect on bud development. On one hand, low temperatures are necessary to break bud dormancy, and on the other hand higher temperatures are necessary to promote bud cells growth afterwards. Increasing phenological changes in temperate woody species have strong impacts on forest trees distribution and productivity, as well as crops cultivation areas. Accurate predictions of trees phenology are therefore a prerequisite to understand and foresee the impacts of climate change on forests and agrosystems. Different process-based models have been developed in the last two decades to predict the date of budburst or flowering of woody species. They are two main families: (1) one-phase models which consider only the ecodormancy phase and make the assumption that endodormancy is always broken before adequate climatic conditions for cell growth occur; and (2) two-phase models which consider both the endodormancy and ecodormancy phases and predict a date of dormancy break which varies from year to year. So far, one-phase models have been able to predict accurately tree bud break and flowering under historical climate. However, because they do not consider what happens prior to ecodormancy, and especially the possible negative effect of winter temperature warming on dormancy break, it seems unlikely that they can provide accurate predictions in future climate conditions. It is indeed well known that a lack of low temperature results in abnormal pattern of bud break and development in temperate fruit trees. An accurate modelling of the dormancy break date has thus become a major issue in phenology modelling. Two-phases phenological models predict that global warming should delay

  20. An Accurate Temperature Correction Model for Thermocouple Hygrometers 1

    PubMed Central

    Savage, Michael J.; Cass, Alfred; de Jager, James M.

    1982-01-01

    Numerous water relation studies have used thermocouple hygrometers routinely. However, the accurate temperature correction of hygrometer calibration curve slopes seems to have been largely neglected in both psychrometric and dewpoint techniques. In the case of thermocouple psychrometers, two temperature correction models are proposed, each based on measurement of the thermojunction radius and calculation of the theoretical voltage sensitivity to changes in water potential. The first model relies on calibration at a single temperature and the second at two temperatures. Both these models were more accurate than the temperature correction models currently in use for four psychrometers calibrated over a range of temperatures (15-38°C). The model based on calibration at two temperatures is superior to that based on only one calibration. The model proposed for dewpoint hygrometers is similar to that for psychrometers. It is based on the theoretical voltage sensitivity to changes in water potential. Comparison with empirical data from three dewpoint hygrometers calibrated at four different temperatures indicates that these instruments need only be calibrated at, e.g. 25°C, if the calibration slopes are corrected for temperature. PMID:16662241

  1. Mental maps and travel behaviour: meanings and models

    NASA Astrophysics Data System (ADS)

    Hannes, Els; Kusumastuti, Diana; Espinosa, Maikel León; Janssens, Davy; Vanhoof, Koen; Wets, Geert

    2012-04-01

    In this paper, the " mental map" concept is positioned with regard to individual travel behaviour to start with. Based on Ogden and Richards' triangle of meaning (The meaning of meaning: a study of the influence of language upon thought and of the science of symbolism. International library of psychology, philosophy and scientific method. Routledge and Kegan Paul, London, 1966) distinct thoughts, referents and symbols originating from different scientific disciplines are identified and explained in order to clear up the notion's fuzziness. Next, the use of this concept in two major areas of research relevant to travel demand modelling is indicated and discussed in detail: spatial cognition and decision-making. The relevance of these constructs to understand and model individual travel behaviour is explained and current research efforts to implement these concepts in travel demand models are addressed. Furthermore, these mental map notions are specified in two types of computational models, i.e. a Bayesian Inference Network (BIN) and a Fuzzy Cognitive Map (FCM). Both models are explained, and a numerical and a real-life example are provided. Both approaches yield a detailed quantitative representation of the mental map of decision-making problems in travel behaviour.

  2. Mental Models of Software Forecasting

    NASA Technical Reports Server (NTRS)

    Hihn, J.; Griesel, A.; Bruno, K.; Fouser, T.; Tausworthe, R.

    1993-01-01

    The majority of software engineers resist the use of the currently available cost models. One problem is that the mathematical and statistical models that are currently available do not correspond with the mental models of the software engineers. In an earlier JPL funded study (Hihn and Habib-agahi, 1991) it was found that software engineers prefer to use analogical or analogy-like techniques to derive size and cost estimates, whereas curren CER's hide any analogy in the regression equations. In addition, the currently available models depend upon information which is not available during early planning when the most important forecasts must be made.

  3. The Binary System Laboratory Activities Based on Students Mental Model

    NASA Astrophysics Data System (ADS)

    Albaiti, A.; Liliasari, S.; Sumarna, O.; Martoprawiro, M. A.

    2017-09-01

    Generic science skills (GSS) are required to develop student conception in learning binary system. The aim of this research was to know the improvement of students GSS through the binary system labotoratory activities based on their mental model using hypothetical-deductive learning cycle. It was a mixed methods embedded experimental model research design. This research involved 15 students of a university in Papua, Indonesia. Essay test of 7 items was used to analyze the improvement of students GSS. Each items was designed to interconnect macroscopic, sub-microscopic and symbolic levels. Students worksheet was used to explore students mental model during investigation in laboratory. The increase of students GSS could be seen in their N-Gain of each GSS indicators. The results were then analyzed descriptively. Students mental model and GSS have been improved from this study. They were interconnect macroscopic and symbolic levels to explain binary systems phenomena. Furthermore, they reconstructed their mental model with interconnecting the three levels of representation in Physical Chemistry. It necessary to integrate the Physical Chemistry Laboratory into a Physical Chemistry course for effectiveness and efficiency.

  4. Visualizations and Mental Models - The Educational Implications of GEOWALL

    NASA Astrophysics Data System (ADS)

    Rapp, D.; Kendeou, P.

    2003-12-01

    Work in the earth sciences has outlined many of the faulty beliefs that students possess concerning particular geological systems and processes. Evidence from educational and cognitive psychology has demonstrated that students often have difficulty overcoming their na‹ve beliefs about science. Prior knowledge is often remarkably resistant to change, particularly when students' existing mental models for geological principles may be faulty or inaccurate. Figuring out how to help students revise their mental models to include appropriate information is a major challenge. Up until this point, research has tended to focus on whether 2-dimensional computer visualizations are useful tools for helping students develop scientifically correct models. Research suggests that when students are given the opportunity to use dynamic computer-based visualizations, they are more likely to recall the learned information, and are more likely to transfer that knowledge to novel settings. Unfortunately, 2-dimensional visualization systems are often inadequate representations of the material that educators would like students to learn. For example, a 2-dimensional image of the Earth's surface does not adequately convey particular features that are critical for visualizing the geological environment. This may limit the models that students can construct following these visualizations. GEOWALL is a stereo projection system that has attempted to address this issue. It can display multidimensional static geologic images and dynamic geologic animations in a 3-dimensional format. Our current research examines whether multidimensional visualization systems such as GEOWALL may facilitate learning by helping students to develop more complex mental models. This talk will address some of the cognitive issues that influence the construction of mental models, and the difficulty of updating existing mental models. We will also discuss our current work that seeks to examine whether GEOWALL is an

  5. Comparison of Two Analysis Approaches for Measuring Externalized Mental Models

    ERIC Educational Resources Information Center

    Al-Diban, Sabine; Ifenthaler, Dirk

    2011-01-01

    Mental models are basic cognitive constructs that are central for understanding phenomena of the world and predicting future events. Our comparison of two analysis approaches, SMD and QFCA, for measuring externalized mental models reveals different levels of abstraction and different perspectives. The advantages of the SMD include possibilities…

  6. Improved Mental Acuity Forecasting with an Individualized Quantitative Sleep Model.

    PubMed

    Winslow, Brent D; Nguyen, Nam; Venta, Kimberly E

    2017-01-01

    Sleep impairment significantly alters human brain structure and cognitive function, but available evidence suggests that adults in developed nations are sleeping less. A growing body of research has sought to use sleep to forecast cognitive performance by modeling the relationship between the two, but has generally focused on vigilance rather than other cognitive constructs affected by sleep, such as reaction time, executive function, and working memory. Previous modeling efforts have also utilized subjective, self-reported sleep durations and were restricted to laboratory environments. In the current effort, we addressed these limitations by employing wearable systems and mobile applications to gather objective sleep information, assess multi-construct cognitive performance, and model/predict changes to mental acuity. Thirty participants were recruited for participation in the study, which lasted 1 week. Using the Fitbit Charge HR and a mobile version of the automated neuropsychological assessment metric called CogGauge, we gathered a series of features and utilized the unified model of performance to predict mental acuity based on sleep records. Our results suggest that individuals poorly rate their sleep duration, supporting the need for objective sleep metrics to model circadian changes to mental acuity. Participant compliance in using the wearable throughout the week and responding to the CogGauge assessments was 80%. Specific biases were identified in temporal metrics across mobile devices and operating systems and were excluded from the mental acuity metric development. Individualized prediction of mental acuity consistently outperformed group modeling. This effort indicates the feasibility of creating an individualized, mobile assessment and prediction of mental acuity, compatible with the majority of current mobile devices.

  7. From Scientists' and Inventors' Minds to Some Scientific and Technological Products: Relationships between Theories, Models, Mental Models and Conceptions.

    ERIC Educational Resources Information Center

    Franco, Creso; de Barros, Henrique Lins; Colinvaux, Dominique; Krapas, Sonia; Queiroz, Gloria; Alves, Fatima

    1999-01-01

    Argues for the need for theoretical work on mental models in the field of science education. Considers relationships between both models and theories, and mental models and conceptions in order to improve the notions of "model" and "mental model" used in the literature. Contains 20 references. (Author/WRM)

  8. Preceptors' perspectives of an integrated clinical learning model in a mental health environment.

    PubMed

    Boardman, Gayelene; Lawrence, Karen; Polacsek, Meg

    2018-02-14

    Supervised clinical practice is an essential component of undergraduate nursing students' learning and development. In the mental health setting, nursing students traditionally undertake four-week block placements. An integrated clinical learning model, where preceptors mentor students on an individual basis, has been used successfully in the clinical learning environment. This flexible model provides the opportunity for students to work across morning, afternoon, night and weekend shifts. There is a need to improve the evidence base for a flexible model for students undertaking a mental health placement. The aim of this study was to understand preceptors' experience of, and satisfaction with, a mental health integrated clinical learning model. Focus groups were used to elicit the views of preceptors from a mental health service. Findings highlight the advantages and disadvantages of an integrated clinical learning model in the mental health setting. Participants suggested that students may benefit from flexible work arrangements, a variety of experiences and a more realistic experience of working in a mental health service. However, they found it challenging to mentor and evaluate students under this model. Most also agreed that the model impeded students' ability to engage with consumers and develop rapport with staff. The findings indicate the need to develop a placement model that meets the unique needs of the mental health setting. © 2018 Australian College of Mental Health Nurses Inc.

  9. An accurate model for predicting high frequency noise of nanoscale NMOS SOI transistors

    NASA Astrophysics Data System (ADS)

    Shen, Yanfei; Cui, Jie; Mohammadi, Saeed

    2017-05-01

    A nonlinear and scalable model suitable for predicting high frequency noise of N-type Metal Oxide Semiconductor (NMOS) transistors is presented. The model is developed for a commercial 45 nm CMOS SOI technology and its accuracy is validated through comparison with measured performance of a microwave low noise amplifier. The model employs the virtual source nonlinear core and adds parasitic elements to accurately simulate the RF behavior of multi-finger NMOS transistors up to 40 GHz. For the first time, the traditional long-channel thermal noise model is supplemented with an injection noise model to accurately represent the noise behavior of these short-channel transistors up to 26 GHz. The developed model is simple and easy to extract, yet very accurate.

  10. Mental Models: Knowledge in the Head and Knowledge in the World.

    ERIC Educational Resources Information Center

    Jonassen, David H.; Henning, Philip

    1999-01-01

    Explores the utility of mental models as learning outcomes in using complex and situated learning environments. Describes two studies: one aimed at eliciting mental models in the heads of novice refrigeration technicians, and the other an ethnographic study eliciting knowledge and models within the community of experienced refrigeration…

  11. Mental Models about Seismic Effects: Students' Profile Based Comparative Analysis

    ERIC Educational Resources Information Center

    Moutinho, Sara; Moura, Rui; Vasconcelos, Clara

    2016-01-01

    Nowadays, meaningful learning takes a central role in science education and is based in mental models that allow the representation of the real world by individuals. Thus, it is essential to analyse the student's mental models by promoting an easier reconstruction of scientific knowledge, by allowing them to become consistent with the curricular…

  12. Activity-based funding: implications for mental health services and consultation-liaison psychiatry.

    PubMed

    Wand, Anne

    2014-06-01

    The aim of this paper is to inform mental health professionals about Activity-based funding (ABF) and the implications for data collection and clinical practice, in particular for consultation-liaison (CL) psychiatry. Activity-based funding may provide an opportunity for mental health services to be more equitably resourced, but much needs to be done to demonstrate that the funding model works in mental health. It is important to ensure that data collected is meaningful and accurate and reflects the diverse roles of mental health clinicians, including in CL. Inpatient and community services should be integrated in the model, as well as safeguards against potential abuse. Clinicians, in partnership with initiatives such as the Australian Mental Health Outcomes and Classification Network, are best placed to guide the development of an ABF system for mental health which appropriately recognises the complexity and variability between patients in different settings. © The Royal Australian and New Zealand College of Psychiatrists 2014.

  13. Disaster Reintegration Model: A Qualitative Analysis on Developing Korean Disaster Mental Health Support Model

    PubMed Central

    O’Donnell, Meaghan

    2018-01-01

    This study sought to describe the mental health problems experienced by Korean disaster survivors, using a qualitative research method to provide empirical resources for effective disaster mental health support in Korea. Participants were 16 adults or elderly adults who experienced one or more disasters at least 12 months ago recruited via theoretical sampling. Participants underwent in-depth individual interviews on their disaster experiences, which were recorded and transcribed for qualitative analysis, which followed Strauss and Corbin’s (1998) Grounded theory. After open coding, participants’ experiences were categorized into 130 codes, 43 sub-categories and 17 categories. The categories were further analyzed in a paradigm model, conditional model and the Disaster Reintegration Model, which proposed potentially effective mental health recovery strategies for disaster survivors, health providers and administrators. To provide effective assistance for mental health recovery of disaster survivors, both personal and public resilience should be promoted while considering both cultural and spiritual elements. PMID:29463030

  14. Consumer-operated service program members' explanatory models of mental illness and recovery.

    PubMed

    Hoy, Janet M

    2014-10-01

    Incorporating individuals' understandings and explanations of mental illness into service delivery offers benefits relating to increased service relevance and meaning. Existing research delineates explanatory models of mental illness held by individuals in home, outpatient, and hospital-based contexts; research on models held by those in peer-support contexts is notably absent. In this article, I describe themes identified within and across explanatory models of mental illness and recovery held by mental health consumers (N = 24) at one peer center, referred to as a consumer-operated service center (COSP). Participants held explanatory models inclusive of both developmental stressors and biomedical causes, consistent with a stress-diathesis model (although no participant explicitly referenced such). Explicit incorporation of stress-diathesis constructs into programming at this COSP offers the potential of increasing service meaning and relevance. Identifying and incorporating shared meanings across individuals' understandings of mental illness likewise can increase relevance and meaning for particular subgroups of service users. © The Author(s) 2014.

  15. A Study of Oil Viscosity Mental Model

    NASA Astrophysics Data System (ADS)

    Albaiti; Liliasari; Sumarna, Omay; Abdulkadir Martoprawiro, Muhamad

    2017-02-01

    There is no study regarding on how to learn viscosity of the liquid (e.g. oil) by interconnecting macroscopic, sub-microscopic and symbolic levels. Therefore, the purpose of this research was to study the mental model of the oil viscosity. Intermolecular attractive force of oil constituent on the sub-microscopic level is depicted in the form of mental models. In this research, the viscosity data for some types of oil was measured by using Hoppler method. Viscosity of mineral oil SAE 20W-50, mineral oil SAE 15W-40 and synthetic oil SAE 10W-40 were 1.75, 1.31, and 1.03 Pa s, and the densities of these oils were 908.64, 885.04, and 877.02 kg/m3, respectively. The results showed that the greater density of the mineral oil that is assumed to be composed of linear chains of hydrocarbons, the longer the chain of hydrocarbon linear. Consequently, there are stronger the London force and greater the oil viscosity. The density and viscosity of synthetic oil are lower than that of both mineral oils. Synthetic oil structurally forms polymers with large branching. This structure affects a lower synthetic oil viscosity. This study contributes to construct a mental model of pre-service chemistry teachers.

  16. Extended experience benefits spatial mental model development with route but not survey descriptions.

    PubMed

    Brunyé, Tad T; Taylor, Holly A

    2008-02-01

    Spatial descriptions symbolically represent environmental information through language and are written in two primary perspectives: survey, analogous to viewing a map, and route, analogous to navigation. Readers of survey or route descriptions form abstracted perspective flexible representations of the described environment, or spatial mental models. The present two experiments investigated the maintenance of perspective in spatial mental models as a function of description perspective and experience (operationalized through repetition), and as reflected in self-paced reading times. Experiment 1 involved studying survey and route descriptions either once or three times, then completing map drawing and true/false statement verification. Results demonstrated that spatial mental models are readily formed with survey descriptions, but require relatively more experience with route descriptions; further, some limited evidence suggests perspective dependence in spatial mental models, even following extended experience. Experiment 2 measured self-paced reading during three successive description presentations. Average reading times over the three presentations reduced more for survey relative to route descriptions, and there was no evidence for perspective specificity in resulting spatial mental models. This supports Experiment 1 findings demonstrating the relatively time-consuming nature of acquiring spatial mental models from route, but not survey descriptions. Results are discussed with regard to developmental, discourse processing, and spatial mental model theory.

  17. Cognitive mapping in mental time travel and mental space navigation.

    PubMed

    Gauthier, Baptiste; van Wassenhove, Virginie

    2016-09-01

    The ability to imagine ourselves in the past, in the future or in different spatial locations suggests that the brain can generate cognitive maps that are independent of the experiential self in the here and now. Using three experiments, we asked to which extent Mental Time Travel (MTT; imagining the self in time) and Mental Space Navigation (MSN; imagining the self in space) shared similar cognitive operations. For this, participants judged the ordinality of real historical events in time and in space with respect to different mental perspectives: for instance, participants mentally projected themselves in Paris in nine years, and judged whether an event occurred before or after, or, east or west, of where they mentally stood. In all three experiments, symbolic distance effects in time and space dimensions were quantified using Reaction Times (RT) and Error Rates (ER). When self-projected, participants were slower and were less accurate (absolute distance effects); participants were also faster and more accurate when the spatial and temporal distances were further away from their mental viewpoint (relative distance effects). These effects show that MTT and MSN require egocentric mapping and that self-projection requires map transformations. Additionally, participants' performance was affected when self-projection was made in one dimension but judgements in another, revealing a competition between temporal and spatial mapping (Experiment 2 & 3). Altogether, our findings suggest that MTT and MSN are separately mapped although they require comparable allo- to ego-centric map conversion. Copyright © 2016 Elsevier B.V. All rights reserved.

  18. A Feedback Learning and Mental Models Perspective on Strategic Decision Making

    ERIC Educational Resources Information Center

    Capelo, Carlos; Dias, Joao Ferreira

    2009-01-01

    This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term…

  19. Mental models: a basic concept for human factors design in infection prevention.

    PubMed

    Sax, H; Clack, L

    2015-04-01

    Much of the effort devoted to promoting better hand hygiene is based on the belief that poor hand hygiene reflects poor motivation. We argue, however, that automatic unconscious behaviour driven by 'mental models' is an important contributor to what actually happens. Mental models are concepts of reality--imaginary, often blurred, and sometimes unstable. Human beings use them to reduce mental load and free up capacity in the conscious mind to focus on deliberate activities. They are pragmatic solutions to the complexity of life. Knowledge of such mental processes helps healthcare designers and clinicians overcome barriers to behavioural change. This article reviews the concept of mental models and considers how it can be used to improve hand hygiene and patient safety. Copyright © 2015 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

  20. Linking knowledge and action through mental models of sustainable agriculture.

    PubMed

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2014-09-09

    Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer "mental models" of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems.

  1. Towards a functional model of mental disorders incorporating the laws of thermodynamics.

    PubMed

    Murray, George C; McKenzie, Karen

    2013-05-01

    The current paper presents the hypothesis that the understanding of mental disorders can be advanced by incorporating the laws of thermodynamics, specifically relating to energy conservation and energy transfer. These ideas, along with the introduction of the notion that entropic activities are symptomatic of inefficient energy transfer or disorder, were used to propose a model of understanding mental ill health as resulting from the interaction of entropy, capacity and work (environmental demands). The model was applied to Attention Deficit Hyperactivity Disorder, and was shown to be compatible with current thinking about this condition, as well as emerging models of mental disorders as complex networks. A key implication of the proposed model is that it argues that all mental disorders require a systemic functional approach, with the advantage that it offers a number of routes into the assessment, formulation and treatment for mental health problems. Copyright © 2013 Elsevier Ltd. All rights reserved.

  2. General practitioners and mental health staff sharing patient care: working model.

    PubMed

    Horner, Deborah; Asher, Kim

    2005-06-01

    The paper describes a shared care programme developed by mental health services and general practitioners for shifting patients with chronic psychiatric disorders to the care of a general practitioner. The programme is characterized by: (i) a dedicated mental health service general practitioner liaison position to manage the programme and provide support to both patients and doctors; (ii) a multidisciplinary care planning meeting that includes mental health staff, the patient, the general practitioner and a carer; and (iii) a jointly developed individual management plan that specifies patient issues, strategies to deal with these issues, persons responsible for monitoring and a review date. The shared care protocol, the results of a review of patient mental health indicators and general practitioner satisfaction with the programme are described. Outcomes to date suggest that patients' mental health is not compromised and may be enhanced by transfer to general practitioners within the shared care model. Indicators of mental health outcomes (Health of the Nation Outcome Scale and Life Skills Profile scores) show improved patient symptomatology and functioning in most cases. The programme fits the model of recovery-based mental health services and complies with current local, state and Commonwealth policies that encourage integrated and collaborative approaches by mental health services and general practitioners in delivering mental health care to persons with chronic mental illness.

  3. Fast and Accurate Circuit Design Automation through Hierarchical Model Switching.

    PubMed

    Huynh, Linh; Tagkopoulos, Ilias

    2015-08-21

    In computer-aided biological design, the trifecta of characterized part libraries, accurate models and optimal design parameters is crucial for producing reliable designs. As the number of parts and model complexity increase, however, it becomes exponentially more difficult for any optimization method to search the solution space, hence creating a trade-off that hampers efficient design. To address this issue, we present a hierarchical computer-aided design architecture that uses a two-step approach for biological design. First, a simple model of low computational complexity is used to predict circuit behavior and assess candidate circuit branches through branch-and-bound methods. Then, a complex, nonlinear circuit model is used for a fine-grained search of the reduced solution space, thus achieving more accurate results. Evaluation with a benchmark of 11 circuits and a library of 102 experimental designs with known characterization parameters demonstrates a speed-up of 3 orders of magnitude when compared to other design methods that provide optimality guarantees.

  4. A Simple and Accurate Rate-Driven Infiltration Model

    NASA Astrophysics Data System (ADS)

    Cui, G.; Zhu, J.

    2017-12-01

    In this study, we develop a novel Rate-Driven Infiltration Model (RDIMOD) for simulating infiltration into soils. Unlike traditional methods, RDIMOD avoids numerically solving the highly non-linear Richards equation or simply modeling with empirical parameters. RDIMOD employs infiltration rate as model input to simulate one-dimensional infiltration process by solving an ordinary differential equation. The model can simulate the evolutions of wetting front, infiltration rate, and cumulative infiltration on any surface slope including vertical and horizontal directions. Comparing to the results from the Richards equation for both vertical infiltration and horizontal infiltration, RDIMOD simply and accurately predicts infiltration processes for any type of soils and soil hydraulic models without numerical difficulty. Taking into account the accuracy, capability, and computational effectiveness and stability, RDIMOD can be used in large-scale hydrologic and land-atmosphere modeling.

  5. Respiratory-phase domain analysis of heart rate variability can accurately estimate cardiac vagal activity during a mental arithmetic task.

    PubMed

    Kotani, Kiyoshi; Takamasu, Kiyoshi; Tachibana, Makoto

    2007-01-01

    The objectives of this paper were to present a method to extract the amplitude of RSA in the respiratory-phase domain, to compare that with subjective or objective indices of the MWL (mental workload), and to compare that with a conventional frequency analysis in terms of its accuracy during a mental arithmetic task. HRV (heart rate variability), ILV (instantaneous lung volume), and motion of the throat were measured under a mental arithmetic experiment and subjective and objective indices were also obtained. The amplitude of RSA was extracted in the respiratory-phase domain, and its correlation with the load level was compared with the results of the frequency domain analysis, which is the standard analysis of the HRV. The subjective and objective indices decreased as the load level increased, showing that the experimental protocol was appropriate. Then, the amplitude of RSA in the respiratory-phase domain also decreased with the increase in the load level. The results of the correlation analysis showed that the respiratory-phase domain analysis has higher negative correlations, -0.84 and -0.82, with the load level as determined by simple correlation and rank correlation, respectively, than does frequency analysis, for which the correlations were found to be -0.54 and -0.63, respectively. In addition, it was demonstrated that the proposed method could be applied to the short-term extraction of RSA amplitude. We proposed a simple and effective method to extract the amplitude of the respiratory sinus arrhythmia (RSA) in the respiratory-phase domain and the results show that this method can estimate cardiac vagal activity more accurately than frequency analysis.

  6. Accurate electromagnetic modeling of terahertz detectors

    NASA Technical Reports Server (NTRS)

    Focardi, Paolo; McGrath, William R.

    2004-01-01

    Twin slot antennas coupled to superconducting devices have been developed over the years as single pixel detectors in the terahertz (THz) frequency range for space-based and astronomy applications. Used either for mixing or direct detection, they have been object of several investigations, and are currently being developed for several missions funded or co-funded by NASA. Although they have shown promising performance in terms of noise and sensitivity, so far they have usually also shown a considerable disagreement in terms of performance between calculations and measurements, especially when considering center frequency and bandwidth. In this paper we present a thorough and accurate electromagnetic model of complete detector and we compare the results of calculations with measurements. Starting from a model of the embedding circuit, the effect of all the other elements in the detector in the coupled power have been analyzed. An extensive variety of measured and calculated data, as presented in this paper, demonstrates the effectiveness and reliability of the electromagnetic model at frequencies between 600 GHz and 2.5THz.

  7. Designing a training tool for imaging mental models

    NASA Technical Reports Server (NTRS)

    Dede, Christopher J.; Jayaram, Geetha

    1990-01-01

    The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network.

  8. Accurate Modeling of Ionospheric Electromagnetic Fields Generated by a Low Altitude VLF Transmitter

    DTIC Science & Technology

    2009-03-31

    AFRL-RV-HA-TR-2009-1055 Accurate Modeling of Ionospheric Electromagnetic Fields Generated by a Low Altitude VLF Transmitter ...m (or even 500 m) at mid to high latitudes . At low latitudes , the FDTD model exhibits variations that make it difficult to determine a reliable...Scientific, Final 3. DATES COVERED (From - To) 02-08-2006 – 31-12-2008 4. TITLE AND SUBTITLE Accurate Modeling of Ionospheric Electromagnetic Fields

  9. The Structures and Possible Sources of Preservice Elementary Teachers' Mental Models About Moon Phases

    NASA Astrophysics Data System (ADS)

    Oh, Jun-Young; Kang, Yong-Hee; Yoo, Kye-Hwa

    2005-09-01

    This study was to understand the components that influence preservice elementary teachers' mental models about `astronomical phenomena' such as the Seasons of the year, and the Lunar Phases of the month. We selected university of education students among whom 23 were in the second year. The data collected from the paper-pencil test and individual interview with students. The results of this study show that the students had apparent synthetic Mental models, and that the 'distance theory, and occultation theory' had most important effects on their Mental Models. It can be said that preservice elementary teachers' initial mental models of the `astronomical phenomenon' have their origin in their belief sets (specific theory) related to `astronomical phenomenon', on the basis of which they can interpret their observations and cultural information with the constraints of a naive framework of physics. The structures and possible sources of their mental models for overcoming these synthetic mental models were also discussed.

  10. Mental models of a water management system in a green building.

    PubMed

    Kalantzis, Anastasia; Thatcher, Andrew; Sheridan, Craig

    2016-11-01

    This intergroup case study compared users' mental models with an expert design model of a water management system in a green building. The system incorporates a constructed wetland component and a rainwater collection pond that together recycle water for re-use in the building and its surroundings. The sample consisted of five building occupants and the cleaner (6 users) and two experts who were involved with the design of the water management system. Users' mental model descriptions and the experts' design model were derived from in-depth interviews combined with self-constructed (and verified) diagrams. Findings from the study suggest that there is considerable variability in the user mental models that could impact the efficient functioning of the water management system. Recommendations for improvements are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. [An explanatory model of behavior toward mental illness].

    PubMed

    García-Sílberman, Sarah

    2002-01-01

    To evaluate a theoretical model designed to explain behaviors toward mental illness, considering some variables related to the construct. A survey was conducted in 1996 on mental disorder beliefs, attitudes, and behavioral intentions. The sample population was stratified by socioeconomic status, age, and gender. Study subjects were 800 individuals from Mexico City's general population. A data collection instrument was constructed and validated, consisting of 120 Likert-type items with five options each. Data were coded and analyzed with the software package SPSS. Internal consistency of the scales was assessed using Cronbach's alpha and construct validity with factorial analysis. Student's t test and ANOVA were used to compare the groups in the different strata. The model allowed to confirm the predictive capacity of the causal chain connecting beliefs, attitudes, and intentions; nevertheless, other study variables did not contribute to explain it, and behavior was scarcely influenced by intentions, depending mainly on experimented necessity. Study findings constitute a basis to understand the attitudes of shame and fear usually related to mental illnesses, to plan efficient actions aimed at modifying them, and to design programs to promote mental health. The English version of this paper is available at: http://www.insp.mx/salud/index.html.

  12. Mental Models in Expert Physics Reasoning.

    ERIC Educational Resources Information Center

    Roschelle, Jeremy; Greeno, James G.

    Proposed is a relational framework for characterizing experienced physicists' representations of physics problem situations and the process of constructing these representations. A representation includes a coherent set of relations among: (1) a mental model of the objects in the situation, along with their relevant properties and relations; (2) a…

  13. An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models

    NASA Astrophysics Data System (ADS)

    Mead, A. J.; Peacock, J. A.; Heymans, C.; Joudaki, S.; Heavens, A. F.

    2015-12-01

    We present an optimized variant of the halo model, designed to produce accurate matter power spectra well into the non-linear regime for a wide range of cosmological models. To do this, we introduce physically motivated free parameters into the halo-model formalism and fit these to data from high-resolution N-body simulations. For a variety of Λ cold dark matter (ΛCDM) and wCDM models, the halo-model power is accurate to ≃ 5 per cent for k ≤ 10h Mpc-1 and z ≤ 2. An advantage of our new halo model is that it can be adapted to account for the effects of baryonic feedback on the power spectrum. We demonstrate this by fitting the halo model to power spectra from the OWLS (OverWhelmingly Large Simulations) hydrodynamical simulation suite via parameters that govern halo internal structure. We are able to fit all feedback models investigated at the 5 per cent level using only two free parameters, and we place limits on the range of these halo parameters for feedback models investigated by the OWLS simulations. Accurate predictions to high k are vital for weak-lensing surveys, and these halo parameters could be considered nuisance parameters to marginalize over in future analyses to mitigate uncertainty regarding the details of feedback. Finally, we investigate how lensing observables predicted by our model compare to those from simulations and from HALOFIT for a range of k-cuts and feedback models and quantify the angular scales at which these effects become important. Code to calculate power spectra from the model presented in this paper can be found at https://github.com/alexander-mead/hmcode.

  14. Implementation strategies for collaborative primary care-mental health models.

    PubMed

    Franx, Gerdien; Dixon, Lisa; Wensing, Michel; Pincus, Harold

    2013-09-01

    Extensive research exists that collaborative primary care-mental health models can improve care and outcomes for patients. These programs are currently being implemented throughout the United States and beyond. The purpose of this study is to review the literature and to generate an overview of strategies currently used to implement such models in daily practice. Six overlapping strategies to implement collaborative primary care-mental health models were described in 18 selected studies. We identified interactive educational strategies, quality improvement change processes, technological support tools, stakeholder engagement in the design and execution of implementation plans, organizational changes in terms of expanding the task of nurses and financial strategies such as additional collaboration fees and pay for performance incentives. Considering the overwhelming evidence about the effectiveness of primary care-mental health models, there is a lack of good studies focusing on their implementation strategies. In practice, these strategies are multifaceted and locally defined, as a result of intensive and required stakeholder engagement. Although many barriers still exist, the implementation of collaborative models could have a chance to succeed in the United States, where new service delivery and payment models, such as the Patient-Centered Medical Home, the Health Home and the Accountable Care Organization, are being promoted.

  15. Tidal waves: Implementing a new model of mental health recovery and reclamation.

    PubMed

    Brookes, Nancy; Murata, Lisa; Tansey, Margaret

    2008-10-01

    The Royal Ottawa Mental Health Centre was the first North American site to implement the Tidal Model of Mental Health Recovery and Reclamation. This empowering approach to practice focuses on learning persons' stories as the key to practising person-centred nursing. The authors, who constituted the Tidal implementation team at ROMHC, describe the journey to excellence in psychiatric and mental health nursing practice following the introduction of the model.

  16. Social Work Education on Mental Health: Postmodern Discourse and the Medical Model

    ERIC Educational Resources Information Center

    Casstevens, W. J.

    2010-01-01

    This article provides a pedagogical approach to presenting alternatives along with the traditional medical model in the context of mental health treatment and service provision. Given the current influence of the medical model in community mental health, this article outlines a rationale for challenging the model and considering alternative models…

  17. Allele-sharing models: LOD scores and accurate linkage tests.

    PubMed

    Kong, A; Cox, N J

    1997-11-01

    Starting with a test statistic for linkage analysis based on allele sharing, we propose an associated one-parameter model. Under general missing-data patterns, this model allows exact calculation of likelihood ratios and LOD scores and has been implemented by a simple modification of existing software. Most important, accurate linkage tests can be performed. Using an example, we show that some previously suggested approaches to handling less than perfectly informative data can be unacceptably conservative. Situations in which this model may not perform well are discussed, and an alternative model that requires additional computations is suggested.

  18. Allele-sharing models: LOD scores and accurate linkage tests.

    PubMed Central

    Kong, A; Cox, N J

    1997-01-01

    Starting with a test statistic for linkage analysis based on allele sharing, we propose an associated one-parameter model. Under general missing-data patterns, this model allows exact calculation of likelihood ratios and LOD scores and has been implemented by a simple modification of existing software. Most important, accurate linkage tests can be performed. Using an example, we show that some previously suggested approaches to handling less than perfectly informative data can be unacceptably conservative. Situations in which this model may not perform well are discussed, and an alternative model that requires additional computations is suggested. PMID:9345087

  19. Fast and accurate calculation of dilute quantum gas using Uehling–Uhlenbeck model equation

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

    Yano, Ryosuke, E-mail: ryosuke.yano@tokiorisk.co.jp

    The Uehling–Uhlenbeck (U–U) model equation is studied for the fast and accurate calculation of a dilute quantum gas. In particular, the direct simulation Monte Carlo (DSMC) method is used to solve the U–U model equation. DSMC analysis based on the U–U model equation is expected to enable the thermalization to be accurately obtained using a small number of sample particles and the dilute quantum gas dynamics to be calculated in a practical time. Finally, the applicability of DSMC analysis based on the U–U model equation to the fast and accurate calculation of a dilute quantum gas is confirmed by calculatingmore » the viscosity coefficient of a Bose gas on the basis of the Green–Kubo expression and the shock layer of a dilute Bose gas around a cylinder.« less

  20. Similarity and accuracy of mental models formed during nursing handovers: A concept mapping approach.

    PubMed

    Drach-Zahavy, Anat; Broyer, Chaya; Dagan, Efrat

    2017-09-01

    Shared mental models are crucial for constructing mutual understanding of the patient's condition during a clinical handover. Yet, scant research, if any, has empirically explored mental models of the parties involved in a clinical handover. This study aimed to examine the similarities among mental models of incoming and outgoing nurses, and to test their accuracy by comparing them with mental models of expert nurses. A cross-sectional study, exploring nurses' mental models via the concept mapping technique. 40 clinical handovers. Data were collected via concept mapping of the incoming, outgoing, and expert nurses' mental models (total of 120 concept maps). Similarity and accuracy for concepts and associations indexes were calculated to compare the different maps. About one fifth of the concepts emerged in both outgoing and incoming nurses' concept maps (concept similarity=23%±10.6). Concept accuracy indexes were 35%±18.8 for incoming and 62%±19.6 for outgoing nurses' maps. Although incoming nurses absorbed fewer number of concepts and associations (23% and 12%, respectively), they partially closed the gap (35% and 22%, respectively) relative to expert nurses' maps. The correlations between concept similarities, and incoming as well as outgoing nurses' concept accuracy, were significant (r=0.43, p<0.01; r=0.68 p<0.01, respectively). Finally, in 90% of the maps, outgoing nurses added information concerning the processes enacted during the shift, beyond the expert nurses' gold standard. Two seemingly contradicting processes in the handover were identified. "Information loss", captured by the low similarity indexes among the mental models of incoming and outgoing nurses; and "information restoration", based on accuracy measures indexes among the mental models of the incoming nurses. Based on mental model theory, we propose possible explanations for these processes and derive implications for how to improve a clinical handover. Copyright © 2017 Elsevier Ltd. All

  1. Mental models and other misconceptions in children's understanding of the earth.

    PubMed

    Panagiotaki, Georgia; Nobes, Gavin; Potton, Anita

    2009-09-01

    This study investigated the claim (e.g., Vosniadou & Brewer's, 1992) that children have naive "mental models" of the earth and believe, for example, that the earth is flat or hollow. It tested the proposal that children appear to have these misconceptions because they find the researchers' tasks and questions to be confusing and ambiguous. Participants were 6- and 7-year-olds (N=127) who were given either the mental model theorists' original drawing task or a new version in which the same instructions and questions were rephrased to minimize ambiguity and, thus, possible misinterpretation. In response to the new version, children gave substantially more indication of having scientific understanding and less of having naive mental models, suggesting that the misconceptions reported by the mental model theorists are largely methodological artifacts. There were also differences between the responses to the original version and those reported by Vosniadou and Brewer, indicating that other factors, such as cohort and cultural effects, are also likely to help explain the discrepant findings of previous research.

  2. Quebec mental health services networks: models and implementation

    PubMed Central

    Fleury, Marie-Josée

    2005-01-01

    Abstract Purpose In the transformation of health care systems, the introduction of integrated service networks is considered to be one of the main solutions for enhancing efficiency. In the last few years, a wealth of literature has emerged on the topic of services integration. However, the question of how integrated service networks should be modelled to suit different implementation contexts has barely been touched. To fill that gap, this article presents four models for the organization of mental health integrated networks. Data sources The proposed models are drawn from three recently published studies on mental health integrated services in the province of Quebec (Canada) with the author as principal investigator. Description Following an explanation of the concept of integrated service network and a description of the Quebec context for mental health networks, the models, applicable in all settings: rural, urban or semi-urban, and metropolitan, and summarized in four figures, are presented. Discussion and conclusion To apply the models successfully, the necessity of rallying all the actors of a system, from the strategic, tactical and operational levels, according to the type of integration involved: functional/administrative, clinical and physician-system is highlighted. The importance of formalizing activities among organizations and actors in a network and reinforcing the governing mechanisms at the local level is also underlined. Finally, a number of integration strategies and key conditions of success to operationalize integrated service networks are suggested. PMID:16773157

  3. Expanding mental health services through novel models of intervention delivery.

    PubMed

    Kazdin, Alan E

    2018-06-13

    Currently, in the United States and worldwide, the vast majority of children and adolescents in need of mental health services receive no treatment. Although there are many barriers, a key barrier is the dominant model of delivering psychosocial interventions. That model includes one-to-one, in-person treatment, with a trained mental health professional, provided in clinical setting (e.g., clinic, private practice office, health-care facility). That model greatly limits the scale and reach of psychosocial interventions. The article discusses many novel models of delivering interventions that permit scaling treatment to encompass children and adolescents who are not likely to receive services. Special attention is accorded the use of social media, socially assistive robots, and social networks that not only convey the ability to scale interventions but also encompass interventions that depart from the usual forms of intervention that currently dominate psychosocial treatment research. © 2018 Association for Child and Adolescent Mental Health.

  4. Application of the PRECEDE model to understanding mental health promoting behaviors in Hong Kong.

    PubMed

    Mo, Phoenix K H; Mak, Winnie W S

    2008-08-01

    The burdens related to mental illness have been increasingly recognized in many countries. Nevertheless, research in positive mental health behaviors remains scarce. This study utilizes the Predisposing, Reinforcing, and Enabling Causes in Education Diagnosis and Evaluation (PRECEDE) model to identify factors associated with mental health promoting behaviors and to examine the effects of these behaviors on mental well-being and quality of life among 941 adults in Hong Kong. Structural equation modeling shows that sense of coherence (predisposing factor), social support (reinforcing factor), and daily hassles (enabling factor) are significantly related to mental health promoting behaviors, which are associated with mental well-being and quality of life. Results of bootstrap analyses confirm the mediating role of mental health promoting behaviors on well-being and quality of life. The study supports the application of the PRECEDE model in understanding mental health promoting behaviors and demonstrates its relationships with well-being and quality of life.

  5. Reading Time as Evidence for Mental Models in Understanding Physics

    NASA Astrophysics Data System (ADS)

    Brookes, David T.; Mestre, José; Stine-Morrow, Elizabeth A. L.

    2007-11-01

    We present results of a reading study that show the usefulness of probing physics students' cognitive processing by measuring reading time. According to contemporary discourse theory, when people read a text, a network of associated inferences is activated to create a mental model. If the reader encounters an idea in the text that conflicts with existing knowledge, the construction of a coherent mental model is disrupted and reading times are prolonged, as measured using a simple self-paced reading paradigm. We used this effect to study how "non-Newtonian" and "Newtonian" students create mental models of conceptual systems in physics as they read texts related to the ideas of Newton's third law, energy, and momentum. We found significant effects of prior knowledge state on patterns of reading time, suggesting that students attempt to actively integrate physics texts with their existing knowledge.

  6. Model Minority Stereotype: Influence on Perceived Mental Health Needs of Asian Americans.

    PubMed

    Cheng, Alice W; Chang, Janet; O'Brien, Janine; Budgazad, Marc S; Tsai, Jack

    2017-06-01

    This study examined the influence of the model minority stereotype on the perceived mental health functioning of Asian Americans. It was hypothesized that college students would perceive Asian Americans as having fewer mental health problems and clinical symptoms than Whites due to the model minority stereotype. Four hundred and twenty-five undergraduate students from a predominately White college campus in the American northeast were randomly exposed to one of four conditions: (1) a clinical vignette describing a White college student suffering from adjustment disorder; (2) the same vignette describing an Asian American college student; (3) a newspaper article describing a success story of Whites and the White clinical vignette; (4) the same newspaper article and clinical vignette describing an Asian American. Following exposure to one of the conditions, participants completed a memory recall task and measures of colorblindness, attitudes towards Asian Americans, attitudes towards out-group members, and perceived mental health functioning. Participants exposed to the vignettes primed with the positive/model minority stereotype perceived the target regardless of race/ethnicity as having better mental health functioning and less clinical symptoms than the condition without the stereotype. Additionally, the stereotype primer was found to be a modest predictor for the perception of mental health functioning in Asian American vignettes. Results shed light on the impact of the model minority stereotype on the misperception of Asian Americans' mental health status, contributing to the invisibility or neglect of this minority group's mental health needs.

  7. The Trade-Offs of Developing a Case Management Model for Chronically Mentally Ill People.

    ERIC Educational Resources Information Center

    Belcher, John R.

    1993-01-01

    Addresses role of case management in care of chronically mentally ill persons. Notes that case management can be effective if designed so that services match client needs and service costs are measured accurately. Contends that profit-maximizing nature of U.S. health care system makes some form of capitation likely in design of case management…

  8. Controversies in water management: Frames and mental models

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

    Kolkman, M.J.; Department of Civil Engineering and Management, Faculty of Engineering Technology; Veen, A. van der

    Controversies in decision and policy-making processes can be analysed using frame reflection and mental model mapping techniques. The purpose of the method presented in this paper is to improve the quality of the information and interpretations available to decision makers, by surfacing and juxtaposing the different frames of decision makers, experts, and special interests groups. The research provides a new method to analyse frames. It defines a frame to consist of perspectives and a mental model, which are in close interaction (through second order learning processes). The mental model acts like a 'filter' through which the problem situation is observed.more » Five major perspective types guide the construction of meaning out of the information delivered by the mental model, and determine what actors see as their interests. The perspective types are related to an actor's institutional and personal position in the decision making process. The method was applied to a case, in order to test its viability. The case concerns the decision making process and environmental impact assessment procedure for the improvement of dike ring 53 in the Netherlands, which was initiated by the Dutch 'Flood Defences Act 1996'. In this specific case the perspectives and mental models of stakeholders were elicited to explain controversies. The case was analysed with regard to the conflicts emerging between stakeholders, on an individual level. The influence of institutional embedding of individuals on the use of information and the construction of meaning, and the limits of a participatory approach were analysed within the details of controversies that emerged during the case analysis. Complicating factor appeared to be the interaction between national dike safety norms (short term) and local water management problems (long term). Revealed controversies mainly concerned disputes between an organisational and a technical perspective. But also disputes on distribution of

  9. Accurate Modeling of Galaxy Clustering on Small Scales: Testing the Standard ΛCDM + Halo Model

    NASA Astrophysics Data System (ADS)

    Sinha, Manodeep; Berlind, Andreas A.; McBride, Cameron; Scoccimarro, Roman

    2015-01-01

    The large-scale distribution of galaxies can be explained fairly simply by assuming (i) a cosmological model, which determines the dark matter halo distribution, and (ii) a simple connection between galaxies and the halos they inhabit. This conceptually simple framework, called the halo model, has been remarkably successful at reproducing the clustering of galaxies on all scales, as observed in various galaxy redshift surveys. However, none of these previous studies have carefully modeled the systematics and thus truly tested the halo model in a statistically rigorous sense. We present a new accurate and fully numerical halo model framework and test it against clustering measurements from two luminosity samples of galaxies drawn from the SDSS DR7. We show that the simple ΛCDM cosmology + halo model is not able to simultaneously reproduce the galaxy projected correlation function and the group multiplicity function. In particular, the more luminous sample shows significant tension with theory. We discuss the implications of our findings and how this work paves the way for constraining galaxy formation by accurate simultaneous modeling of multiple galaxy clustering statistics.

  10. Accurate path integration in continuous attractor network models of grid cells.

    PubMed

    Burak, Yoram; Fiete, Ila R

    2009-02-01

    Grid cells in the rat entorhinal cortex display strikingly regular firing responses to the animal's position in 2-D space and have been hypothesized to form the neural substrate for dead-reckoning. However, errors accumulate rapidly when velocity inputs are integrated in existing models of grid cell activity. To produce grid-cell-like responses, these models would require frequent resets triggered by external sensory cues. Such inadequacies, shared by various models, cast doubt on the dead-reckoning potential of the grid cell system. Here we focus on the question of accurate path integration, specifically in continuous attractor models of grid cell activity. We show, in contrast to previous models, that continuous attractor models can generate regular triangular grid responses, based on inputs that encode only the rat's velocity and heading direction. We consider the role of the network boundary in the integration performance of the network and show that both periodic and aperiodic networks are capable of accurate path integration, despite important differences in their attractor manifolds. We quantify the rate at which errors in the velocity integration accumulate as a function of network size and intrinsic noise within the network. With a plausible range of parameters and the inclusion of spike variability, our model networks can accurately integrate velocity inputs over a maximum of approximately 10-100 meters and approximately 1-10 minutes. These findings form a proof-of-concept that continuous attractor dynamics may underlie velocity integration in the dorsolateral medial entorhinal cortex. The simulations also generate pertinent upper bounds on the accuracy of integration that may be achieved by continuous attractor dynamics in the grid cell network. We suggest experiments to test the continuous attractor model and differentiate it from models in which single cells establish their responses independently of each other.

  11. The Longitudinal Stability and Dynamics of Group Membership in the Dual-Factor Model of Mental Health: Psychosocial Predictors of Mental Health

    ERIC Educational Resources Information Center

    Kelly, Ryan M.; Hills, Kimberly J.; Huebner, E. Scott; McQuillin, Samuel D.

    2012-01-01

    This study examined the longitudinal stability and dynamics of group membership within the Greenspoon and Sakflofske's dual-factor model of mental health. This expanded model incorporates information about subjective well-being (SWB), in addition to psychopathological symptoms, to better identify the mental health status and current functioning of…

  12. Linking knowledge and action through mental models of sustainable agriculture

    PubMed Central

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2014-01-01

    Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer “mental models” of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems. PMID:25157158

  13. Investigating students’ mental models about the nature of light in different contexts

    NASA Astrophysics Data System (ADS)

    Özcan, Özgür

    2015-11-01

    In this study, we investigated pre-service physics teachers’ mental models of light in different contexts, such as blackbody radiation, the photoelectric effect and the Compton effect. The data collected through the paper-and-pencil questionnaire (PPQ) were analyzed both quantitatively and qualitatively. Sampling of this study consists of a total of 110 physics education students who were taking a modern physics course at two different state universities in Turkey. As a result, three mental models, which were called the beam ray model (BrM), hybrid model (HM) and particle model (PM), were being used by the students while explaining these phenomena. The most model fluctuation was seen in HM and BrM. In addition, some students were in a mixed-model state where they use multiple mental models in explaining a phenomenon and used these models inconsistently. On the other hand, most of the students who used the particle model can be said to be in a pure model state.

  14. Creation of Anatomically Accurate Computer-Aided Design (CAD) Solid Models from Medical Images

    NASA Technical Reports Server (NTRS)

    Stewart, John E.; Graham, R. Scott; Samareh, Jamshid A.; Oberlander, Eric J.; Broaddus, William C.

    1999-01-01

    Most surgical instrumentation and implants used in the world today are designed with sophisticated Computer-Aided Design (CAD)/Computer-Aided Manufacturing (CAM) software. This software automates the mechanical development of a product from its conceptual design through manufacturing. CAD software also provides a means of manipulating solid models prior to Finite Element Modeling (FEM). Few surgical products are designed in conjunction with accurate CAD models of human anatomy because of the difficulty with which these models are created. We have developed a novel technique that creates anatomically accurate, patient specific CAD solids from medical images in a matter of minutes.

  15. Beyond attributions: Understanding public stigma of mental illness with the common sense model.

    PubMed

    Mak, Winnie W S; Chong, Eddie S K; Wong, Celia C Y

    2014-03-01

    The present study applied the common sense model (i.e., cause, controllability, timeline, consequences, and illness coherence) to understand public attitudes toward mental illness and help-seeking intention and to examine the mediating role of perceived controllability between causal attributions with public attitudes and help seeking. Based on a randomized household sample of 941 Chinese community adults in Hong Kong, results of the structural equation modeling demonstrated that people who endorsed cultural lay beliefs tended to perceive the course of mental illness as less controllable, whereas those with psychosocial attributions see its course as more controllable. The more people perceived the course of mental illness as less controllable, more chronic, and incomprehensible, the lower was their acceptance and the greater was mental illness stigma. Furthermore, those who perceived mental illness with dire consequences were more likely to feel greater stigma and social distance. Conversely, when people were more accepting, they were more likely to seek help for psychological services and felt a shorter social distance. The common sense model provides a multidimensional framework in understanding public's mental illness perceptions and stigma. Not only should biopsychosocial determinants of mental illness be advocated to the public, cultural myths toward mental illness must be debunked.

  16. Consumer participation in mental health research: articulating a model to guide practice.

    PubMed

    Happell, Brenda; Roper, Cath

    2007-06-01

    Consumer involvement in mental health research is considered both a right and a benefit, despite the identified barriers to forming effective collaborative relationships. The purpose of this paper is to examine the literature relating to consumer involvement in mental health research with a view to articulating a model to guide this process. A qualitative review of the relevant literature was undertaken. Literature referring to consumer roles in research was accessed and reviewed with the aim of articulating the benefits of, and barriers to, consumer participation in research. The literature has identified a number of important benefits and some significant barriers to consumer involvement in mental health research. However, a clear model to articulate definitions of involvement is lacking. Four distinct levels of involvement were articulated. The identification of clearly defined models for consumer involvement in mental health research is important in order to facilitate collaboration and avoid tokenism. Research is required in order to determine the applicability of these models within actual research projects.

  17. Local Debonding and Fiber Breakage in Composite Materials Modeled Accurately

    NASA Technical Reports Server (NTRS)

    Bednarcyk, Brett A.; Arnold, Steven M.

    2001-01-01

    A prerequisite for full utilization of composite materials in aerospace components is accurate design and life prediction tools that enable the assessment of component performance and reliability. Such tools assist both structural analysts, who design and optimize structures composed of composite materials, and materials scientists who design and optimize the composite materials themselves. NASA Glenn Research Center's Micromechanics Analysis Code with Generalized Method of Cells (MAC/GMC) software package (http://www.grc.nasa.gov/WWW/LPB/mac) addresses this need for composite design and life prediction tools by providing a widely applicable and accurate approach to modeling composite materials. Furthermore, MAC/GMC serves as a platform for incorporating new local models and capabilities that are under development at NASA, thus enabling these new capabilities to progress rapidly to a stage in which they can be employed by the code's end users.

  18. Implementation of the Strengths Model at an area mental health service.

    PubMed

    Chopra, Prem; Hamilton, Bridget; Castle, David; Smith, Jenny; Mileshkin, Cris; Deans, Michael; Wynne, Brad; Prigg, Glenn; Toomey, Nigel; Wilson, Michael

    2009-06-01

    The objectives of this paper are to provide an overview of recovery-focused models of care and discuss the implementation of the Strengths Model at St. Vincent's Mental Health Melbourne (SVMH), Victoria, Australia. The implementation of the Strengths Model at SVMH is discussed with particular emphasis on the process of implementation, service implications, practical challenges and dilemmas that have arisen, and proposed evaluation. Recovery-focused care is feasible and can enhance current practice of mental health services.

  19. The Mental Status Expert (MSE): an expert system for scoring and interpreting the mental status examination.

    PubMed Central

    Hier, D. B.; Jao, C. S.; Brint, S. U.

    1994-01-01

    The mental status examination is the most difficult and time-consuming portion of the neurological examination. A complete mental status examination requires the examiner to assess alertness, memory, language, praxis, gnosis, attention, and visual-spatial functions. Findings of the mental status need to be interpreted in terms of severity of deficits, nature of the deficits, likely etiology, and likely area of corresponding brain injury. The performance of an accurate, complete, and detailed mental status examination is a daunting task for the medical student or resident in training. Traditional mental status examinations show considerable inter-examiner variability for items administered and for interpretation of abnormalities. Even in academic settings, mental status examinations have little educational content. PMID:7949891

  20. Accurate protein structure modeling using sparse NMR data and homologous structure information.

    PubMed

    Thompson, James M; Sgourakis, Nikolaos G; Liu, Gaohua; Rossi, Paolo; Tang, Yuefeng; Mills, Jeffrey L; Szyperski, Thomas; Montelione, Gaetano T; Baker, David

    2012-06-19

    While information from homologous structures plays a central role in X-ray structure determination by molecular replacement, such information is rarely used in NMR structure determination because it can be incorrect, both locally and globally, when evolutionary relationships are inferred incorrectly or there has been considerable evolutionary structural divergence. Here we describe a method that allows robust modeling of protein structures of up to 225 residues by combining (1)H(N), (13)C, and (15)N backbone and (13)Cβ chemical shift data, distance restraints derived from homologous structures, and a physically realistic all-atom energy function. Accurate models are distinguished from inaccurate models generated using incorrect sequence alignments by requiring that (i) the all-atom energies of models generated using the restraints are lower than models generated in unrestrained calculations and (ii) the low-energy structures converge to within 2.0 Å backbone rmsd over 75% of the protein. Benchmark calculations on known structures and blind targets show that the method can accurately model protein structures, even with very remote homology information, to a backbone rmsd of 1.2-1.9 Å relative to the conventional determined NMR ensembles and of 0.9-1.6 Å relative to X-ray structures for well-defined regions of the protein structures. This approach facilitates the accurate modeling of protein structures using backbone chemical shift data without need for side-chain resonance assignments and extensive analysis of NOESY cross-peak assignments.

  1. Applicability of the Dual-Factor Model of Mental Health for College Students

    ERIC Educational Resources Information Center

    Eklund, Katie; Dowdy, Erin; Jones, Camille; Furlong, Michael

    2011-01-01

    This study explores the utility of a dual-factor model of mental health in which the concepts of mental illness and mental wellness are integrated. Life satisfaction, emotional symptoms, personal adjustment, and clinical symptoms were assessed with a sample of 240 college students. Participants were organized into four groups based on levels of…

  2. Reappraising the Relationships between Physics Students' Mental Models and Predictions: An Example of Heat Convection

    ERIC Educational Resources Information Center

    Chiou, Guo-Li

    2013-01-01

    Although prediction is claimed to be a prime function of mental models, to what extent students can run their mental models to make predictions of physical phenomena remains uncertain. The purpose of this study, therefore, was first to investigate 30 physics students' mental models of heat convection, and then to examine the relationship between…

  3. Police Mental Health Partnership project: Police Ambulance Crisis Emergency Response (PACER) model development.

    PubMed

    Huppert, David; Griffiths, Matthew

    2015-10-01

    To review internationally recognized models of police interactions with people experiencing mental health crises that are sometimes complex and associated with adverse experience for the person in crisis, their family and emergency service personnel. To develop, implement and review a partnership model trial between mental health and emergency services that offers alternative response pathways with improved outcomes in care. Three unique models of police and mental health partnership in the USA were reviewed and used to develop the PACER (Police Ambulance Crisis Emergency Response) model. A three month trial of the model was implemented and evaluated. Significant improvements in response times, the interactions with and the outcomes for people in crisis were some of the benefits shown when compared with usual services. The pilot showed that a partnership involving mental health and police services in Melbourne, Australia could be replicated based on international models. Initial data supported improvements compared with usual care. Further data collection regarding usual care and this new model is required to confirm observed benefits. © The Royal Australian and New Zealand College of Psychiatrists 2015.

  4. Eradicating Barriers to Mental Health Care Through Integrated Service Models: Contemporary Perspectives for Psychiatric-Mental Health Nurses.

    PubMed

    Ellis, Horace; Alexander, Vinette

    2016-06-01

    There has been renewed, global interest in developing new and transformative models of facilitating access to high-quality, cost-effective, and individually-centered health care for severe mentally-ill (SMI) persons of diverse racial/ethnic, cultural and socioeconomic backgrounds. However, in our present-day health-service delivery systems, scholars have identified layers of barriers to widespread dispersal of well-needed mental health care both nationally and internationally. It is crucial that contemporary models directed at eradicating barriers to mental health services are interdisciplinary in context, design, scope, sequence, and best-practice standards. Contextually, nurses are well-positioned to influence the incorporation and integration of new concepts into operationally interdisciplinary, evidence-based care models with measurable outcomes. The aim of this concept paper is to use the available evidence to contextually explicate how the blended roles of psychiatric mental health (PMH) nursing can be influential in eradicating barriers to care and services for SMI persons through the integrated principles of collaboration, integration and service expansion across health, socioeconomic, and community systems. A large body of literature proposes that any best-practice standards aimed at eliminating barriers to the health care needs of SMI persons require systematic, well-coordinated interdisciplinary partnerships through evidence-based, high-quality, person-centered, and outcome-driven processes. Transforming the conceptual models of collaboration, integration and service expansion could be revolutionary in how care and services are coordinated and dispersed to populations across disadvantaged communities. Building on their longstanding commitment to individual and community care approaches, and their pivotal roles in research, education, leadership, practice, and legislative processes; PMH nurses are well-positioned to be both influential and instrumental in

  5. Urgent Need for Improved Mental Health Care and a More Collaborative Model of Care

    PubMed Central

    Lake, James; Turner, Mason Spain

    2017-01-01

    Current treatments and the dominant model of mental health care do not adequately address the complex challenges of mental illness, which accounts for roughly one-third of adult disability globally. These circumstances call for radical change in the paradigm and practices of mental health care, including improving standards of clinician training, developing new research methods, and re-envisioning current models of mental health care delivery. Because of its dominant position in the US health care marketplace and its commitment to research and innovation, Kaiser Permanente (KP) is strategically positioned to make important contributions that will shape the future of mental health care nationally and globally. This article reviews challenges facing mental health care and proposes an agenda for developing a collaborative care model in primary care settings that incorporates conventional biomedical therapies and complementary and alternative medicine approaches. By moving beyond treatment delivery via telephone and secure video and providing earlier interventions through primary care clinics, KP is shifting the paradigm of mental health care to a collaborative care model focusing on prevention. Recommendations are to expand current practices to include integrative treatment strategies incorporating evidence-based biomedical and complementary and alternative medicine modalities that can be provided to patients using a collaborative care model. Recommendations also are made for an internal research program aimed at investigating the efficacy and cost-effectiveness of promising complementary and alternative medicine and integrative treatments addressing the complex needs of patients with severe psychiatric disorders, many of whom respond poorly to treatments available in KP mental health clinics. PMID:28898197

  6. Accurate modeling of the hose instability in plasma wakefield accelerators

    DOE PAGES

    Mehrling, T. J.; Benedetti, C.; Schroeder, C. B.; ...

    2018-05-20

    Hosing is a major challenge for the applicability of plasma wakefield accelerators and its modeling is therefore of fundamental importance to facilitate future stable and compact plasma-based particle accelerators. In this contribution, we present a new model for the evolution of the plasma centroid, which enables the accurate investigation of the hose instability in the nonlinear blowout regime. Lastly, it paves the road for more precise and comprehensive studies of hosing, e.g., with drive and witness beams, which were not possible with previous models.

  7. Accurate modeling of the hose instability in plasma wakefield accelerators

    NASA Astrophysics Data System (ADS)

    Mehrling, T. J.; Benedetti, C.; Schroeder, C. B.; Martinez de la Ossa, A.; Osterhoff, J.; Esarey, E.; Leemans, W. P.

    2018-05-01

    Hosing is a major challenge for the applicability of plasma wakefield accelerators and its modeling is therefore of fundamental importance to facilitate future stable and compact plasma-based particle accelerators. In this contribution, we present a new model for the evolution of the plasma centroid, which enables the accurate investigation of the hose instability in the nonlinear blowout regime. It paves the road for more precise and comprehensive studies of hosing, e.g., with drive and witness beams, which were not possible with previous models.

  8. Accurate modeling of the hose instability in plasma wakefield accelerators

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

    Mehrling, T. J.; Benedetti, C.; Schroeder, C. B.

    Hosing is a major challenge for the applicability of plasma wakefield accelerators and its modeling is therefore of fundamental importance to facilitate future stable and compact plasma-based particle accelerators. In this contribution, we present a new model for the evolution of the plasma centroid, which enables the accurate investigation of the hose instability in the nonlinear blowout regime. Lastly, it paves the road for more precise and comprehensive studies of hosing, e.g., with drive and witness beams, which were not possible with previous models.

  9. Rate of Learning Models, Mental Models, and Item Response Theory

    NASA Astrophysics Data System (ADS)

    Pritchard, David E.; Lee, Y.; Bao, L.

    2006-12-01

    We present three learning models that make different assumptions about how the rate of a student's learning depends on the amount that they know already. These are motivated by the mental models of Tabula Rasa, Constructivist, and Tutoring theories. These models predict the postscore for a given prescore after a given period of instruction. Constructivist models show a close connection with Item Response Theory. Comparison with data from both Hake and MIT shows that the Tabula Rasa models not only fit incomparably better, but fit the MIT data within error across a wide range of pretest scores. We discuss the implications of this finding.

  10. Mental models: an alternative evaluation of a sensemaking approach to ethics instruction.

    PubMed

    Brock, Meagan E; Vert, Andrew; Kligyte, Vykinta; Waples, Ethan P; Sevier, Sydney T; Mumford, Michael D

    2008-09-01

    In spite of the wide variety of approaches to ethics training it is still debatable which approach has the highest potential to enhance professionals' integrity. The current effort assesses a novel curriculum that focuses on metacognitive reasoning strategies researchers use when making sense of day-to-day professional practices that have ethical implications. The evaluated trainings effectiveness was assessed by examining five key sensemaking processes, such as framing, emotion regulation, forecasting, self-reflection, and information integration that experts and novices apply in ethical decision-making. Mental models of trained and untrained graduate students, as well as faculty, working in the field of physical sciences were compared using a think-aloud protocol 6 months following the ethics training. Evaluation and comparison of the mental models of participants provided further validation evidence for sensemaking training. Specifically, it was found that trained students applied metacognitive reasoning strategies learned during training in their ethical decision-making that resulted in complex mental models focused on the objective assessment of the situation. Mental models of faculty and untrained students were externally-driven with a heavy focus on autobiographical processes. The study shows that sensemaking training has a potential to induce shifts in researchers' mental models by making them more cognitively complex via the use of metacognitive reasoning strategies. Furthermore, field experts may benefit from sensemaking training to improve their ethical decision-making framework in highly complex, novel, and ambiguous situations.

  11. Accurate analytical modeling of junctionless DG-MOSFET by green's function approach

    NASA Astrophysics Data System (ADS)

    Nandi, Ashutosh; Pandey, Nilesh

    2017-11-01

    An accurate analytical model of Junctionless double gate MOSFET (JL-DG-MOSFET) in the subthreshold regime of operation is developed in this work using green's function approach. The approach considers 2-D mixed boundary conditions and multi-zone techniques to provide an exact analytical solution to 2-D Poisson's equation. The Fourier coefficients are calculated correctly to derive the potential equations that are further used to model the channel current and subthreshold slope of the device. The threshold voltage roll-off is computed from parallel shifts of Ids-Vgs curves between the long channel and short-channel devices. It is observed that the green's function approach of solving 2-D Poisson's equation in both oxide and silicon region can accurately predict channel potential, subthreshold current (Isub), threshold voltage (Vt) roll-off and subthreshold slope (SS) of both long & short channel devices designed with different doping concentrations and higher as well as lower tsi/tox ratio. All the analytical model results are verified through comparisons with TCAD Sentaurus simulation results. It is observed that the model matches quite well with TCAD device simulations.

  12. On Looking into the Black Box: Prospects and Limits in the Search for Mental Models

    NASA Technical Reports Server (NTRS)

    Rouse, W. B.; Morris, N. M.

    1984-01-01

    To place the arguments advanced in this paper in alternative points of view with regard to mental models are reviewed. Use of the construct in areas such as neural information processing, manual control, decision making, problem solving, and cognitive science are discussed. Also reviewed are several taxonomies of mental models. The available empirical evidence for answering questions concerning the nature and usage of mental models is then discussed. A variety of studies are reviewed where the type and form of humans' knowledge have been manipulated. Also considered are numerous transfer of training studies whose results provide indirect evidence of the nature of mental models. The alternative perspectives considered and the spectrum of empirical evidence are combined to suggest a framework within which research on mental models can be viewed. By considering interactions of dimensions of this framework, the most salient unanswered questions can be identified.

  13. Three models of community mental health services In low-income countries

    PubMed Central

    2011-01-01

    Objective To compare and contrast three models of community mental health services in low-income settings. Data Sources/Study Setting Primary and secondary data collected before, during, and after site visits to mental health programs in Nigeria, the Philippines, and India. Study Design Qualitative case study methodology. Data Collection Data were collected through interviews and observations during site visits to the programs, as well as from reviews of documentary evidence. Principal Findings A set of narrative topics and program indicators were used to compare and contrast three community mental health programs in low-income countries. This allowed us to identify a diversity of service delivery models, common challenges, and the strengths and weaknesses of each program. More definitive evaluations will require the establishment of data collection methods and information systems that provide data about the clinical and social outcomes of clients, as well as their use of services. Conclusions Community mental health programs in low-income countries face a number of challenges. Using a case study methodology developed for this purpose, it is possible to compare programs and begin to assess the effectiveness of diverse service delivery models. PMID:21266051

  14. Toward a New Model for Promoting Urban Children's Mental Health: Accessible, Effective, and Sustainable School-Based Mental Health Services

    ERIC Educational Resources Information Center

    Atkins, Marc S.; Graczyk, Patricia A.; Frazier, Stacy L.; Abdul-Adil, Jaleel

    2003-01-01

    A program of research related to school-based models for urban children's mental health is described, with a particular focus on improving access to services, promoting children's functioning, and providing for program sustainability. The first study in this series responded to the urgent need to engage more families in mental health services, and…

  15. Getting Mental Models and Computer Models to Cooperate

    NASA Technical Reports Server (NTRS)

    Sheridan, T. B.; Roseborough, J.; Charney, L.; Mendel, M.

    1984-01-01

    A qualitative theory of supervisory control is outlined wherein the mental models of one or more human operators are related to the knowledge representations within automatic controllers (observers, estimators) and operator decision aids (expert systems, advice-givers). Methods of quantifying knowledge and the calibration of one knowledge representation to another (human, computer, or objective truth) are discussed. Ongoing experiments in the use of decision aids for exploring one's own objective function or exploring system constraints and control strategies are described.

  16. Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor

    ERIC Educational Resources Information Center

    Rus, Vasile; Lintean, Mihai; Azevedo, Roger

    2009-01-01

    This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…

  17. A new accurate quadratic equation model for isothermal gas chromatography and its comparison with the linear model

    PubMed Central

    Wu, Liejun; Chen, Maoxue; Chen, Yongli; Li, Qing X.

    2013-01-01

    The gas holdup time (tM) is a dominant parameter in gas chromatographic retention models. The difference equation (DE) model proposed by Wu et al. (J. Chromatogr. A 2012, http://dx.doi.org/10.1016/j.chroma.2012.07.077) excluded tM. In the present paper, we propose that the relationship between the adjusted retention time tRZ′ and carbon number z of n-alkanes follows a quadratic equation (QE) when an accurate tM is obtained. This QE model is the same as or better than the DE model for an accurate expression of the retention behavior of n-alkanes and model applications. The QE model covers a larger range of n-alkanes with better curve fittings than the linear model. The accuracy of the QE model was approximately 2–6 times better than the DE model and 18–540 times better than the LE model. Standard deviations of the QE model were approximately 2–3 times smaller than those of the DE model. PMID:22989489

  18. Dynamic Processes of Conceptual Change: Analysis of Constructing Mental Models of Chemical Equilibrium.

    ERIC Educational Resources Information Center

    Chiu, Mei-Hung; Chou, Chin-Cheng; Liu, Chia-Ju

    2002-01-01

    Investigates students' mental models of chemical equilibrium using dynamic science assessments. Reports that students at various levels have misconceptions about chemical equilibrium. Involves 10th grade students (n=30) in the study doing a series of hands-on chemical experiments. Focuses on the process of constructing mental models, dynamic…

  19. A Construct Validation of the Mental Models Learning Outcome Using Exploratory Factor Analysis.

    ERIC Educational Resources Information Center

    Sheehan, Joseph; Tessmer, Martin

    A mental model is a knowledge structure composed of concepts and the relations between them. Mental models are distinct from declarative and procedural knowledge--they go beyond semantic relationships and skills acquisition and contain varied intellectual skills and knowledge. This study describes an initial investigation into the construct…

  20. Shared mental models of integrated care: aligning multiple stakeholder perspectives.

    PubMed

    Evans, Jenna M; Baker, G Ross

    2012-01-01

    Health service organizations and professionals are under increasing pressure to work together to deliver integrated patient care. A common understanding of integration strategies may facilitate the delivery of integrated care across inter-organizational and inter-professional boundaries. This paper aims to build a framework for exploring and potentially aligning multiple stakeholder perspectives of systems integration. The authors draw from the literature on shared mental models, strategic management and change, framing, stakeholder management, and systems theory to develop a new construct, Mental Models of Integrated Care (MMIC), which consists of three types of mental models, i.e. integration-task, system-role, and integration-belief. The MMIC construct encompasses many of the known barriers and enablers to integrating care while also providing a comprehensive, theory-based framework of psychological factors that may influence inter-organizational and inter-professional relations. While the existing literature on integration focuses on optimizing structures and processes, the MMIC construct emphasizes the convergence and divergence of stakeholders' knowledge and beliefs, and how these underlying cognitions influence interactions (or lack thereof) across the continuum of care. MMIC may help to: explain what differentiates effective from ineffective integration initiatives; determine system readiness to integrate; diagnose integration problems; and develop interventions for enhancing integrative processes and ultimately the delivery of integrated care. Global interest and ongoing challenges in integrating care underline the need for research on the mental models that characterize the behaviors of actors within health systems; the proposed framework offers a starting point for applying a cognitive perspective to health systems integration.

  1. 'People like that': realising the social model in mental capacity jurisprudence.

    PubMed

    Clough, B

    2015-01-01

    Through critical analysis of the law's traditional response to mental disorders in mental health and mental capacity law, it will be argued that a medicalised model of disability has been predominant, and still permeates jurisprudence in this area. It will be suggested that insights from the social model and relational understandings of rights can highlight the ways in which wider contextual and structural relations can impact upon the lived experience of mental impairment. Moreover, an understanding of the various dimensions of mental illness can help elucidate how the law can respond effectively to structural, institutional, and contextual factors in order to facilitate the enjoyment of purported rights and values. In light of this, it will further be argued that the lingering precedence given to a narrow, medical view of cognitive impairment is outmoded given the more richly textured understanding of cognitive impairments which has recently emerged. The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) has harnessed the insights from the social model of disability and the capabilities approach to justice, and will be presented as the legal articulation of such understandings. This article seeks to build upon these understandings of disability and social justice and argue for the need for a more responsive state and judiciary in addressing the concerns highlighted by the UNCRPD and embedding these into judicial discourse. © The Author [2014]. Published by Oxford University Press; all rights reserved. For Permissions, please email: journals.permissions@oup.com.

  2. Accurate monoenergetic electron parameters of laser wakefield in a bubble model

    NASA Astrophysics Data System (ADS)

    Raheli, A.; Rahmatallahpur, S. H.

    2012-11-01

    A reliable analytical expression for the potential of plasma waves with phase velocities near the speed of light is derived. The presented spheroid cavity model is more consistent than the previous spherical and ellipsoidal model and it explains the mono-energetic electron trajectory more accurately, especially at the relativistic region. As a result, the quasi-mono-energetic electrons output beam interacting with the laser plasma can be more appropriately described with this model.

  3. Dealing with mentally ill domestic violence perpetrators: A therapeutic jurisprudence judicial model.

    PubMed

    Winick, Bruce J; Wiener, Richard; Castro, Anthony; Emmert, Aryn; Georges, Leah S

    2010-01-01

    People suffering from mental illness are increasingly referred to the domestic violence court. Yet the typical diversion programs available, including batterer's intervention programs, are inappropriate for those with serious mental illness. As a result, the Miami-Dade Domestic Violence Court has developed a new approach for dealing with this population that applies mental health court techniques in domestic violence court. This article will describe and discuss this pioneering model. It also will situate this model within the context of other problem-solving courts and discuss how the court uses principles and approaches of therapeutic jurisprudence. The paper presents some preliminary data that describe the social and legal characteristics of 20 defendants in the Domestic Violence Mental Health Court followed over a two year period between 2005 and 2007. Copyright © 2010 Elsevier Ltd. All rights reserved.

  4. Students’ mental model on heat convection concept and its relation with students conception on heat and temperature

    NASA Astrophysics Data System (ADS)

    Amalia, R.; Sari, I. M.; Sinaga, P.

    2017-02-01

    This research depended by previous studies that only to find out the misconceptions of students without figuring out the mechanism of the misconceptions. The mechanism of misconceptions can be studied more deeply with mental models. The purpose of this study was to find students ‘mental models of heat convection and its relation with students conception on heat and temperature. The method used in this study is exploratory mixed method design that implemented in one of the high schools in Bandung. The results showed that 7 mental models of heat convection in Chiou’s study (2013), only first model (diffusion-based convention), third model (evenly distributed convection) and fifth model (warmness topped convection II) were found and model hybrid convection as a new mental model. In addition, no specific relationship between mental models and categories of students’ conceptions on heat and temperature.

  5. Not of one mind: mental models of clinical practice guidelines in the Veterans Health Administration.

    PubMed

    Hysong, Sylvia J; Best, Richard G; Pugh, Jacqueline A; Moore, Frank I

    2005-06-01

    The purpose of this paper is to present differences in mental models of clinical practice guidelines (CPGs) among 15 Veterans Health Administration (VHA) facilities throughout the United States. Two hundred and forty-four employees from 15 different VHA facilities across four service networks around the country were invited to participate. Participants were selected from different levels throughout each service setting from primary care personnel to facility leadership. This qualitative study used purposive sampling, a semistructured interview process for data collection, and grounded theory techniques for analysis. A semistructured interview was used to collect information on participants' mental models of CPGs, as well as implementation strategies and barriers in their facility. Analysis of these interviews using grounded theory techniques indicated that there was wide variability in employees' mental models of CPGs. Findings also indicated that high-performing facilities exhibited both (a) a clear, focused shared mental model of guidelines and (b) a tendency to use performance feedback as a learning opportunity, thus suggesting that a shared mental model is a necessary but not sufficient step toward successful guideline implementation. We conclude that a clear shared mental model of guidelines, in combination with a learning orientation toward feedback are important components for successful guideline implementation and improved quality of care.

  6. Utilization of Mental Health Services and Mental Health Status Among Children Placed in Out-of-Home Care: A Parallel Process Latent Growth Modeling Approach.

    PubMed

    Yampolskaya, Svetlana; Sharrock, Patty J; Clark, Colleen; Hanson, Ardis

    2017-10-01

    This longitudinal study examined the parallel trajectories of mental health service use and mental health status among children placed in Florida out-of-home care. The results of growth curve modeling suggested that children with greater mental health problems initially received more mental health services. Initial child mental health status, however, had no effect on subsequent service provision when all outpatient mental health services were included. When specific types of mental health services, such as basic outpatient, targeted case management, and intensive mental health services were examined, results suggested that children with compromised functioning during the baseline period received more intensive mental health services over time. However, this increased provision of intensive mental health services did not improve mental health status, rather it was significantly associated with progressively worse mental health functioning. These findings underscore the need for regular comprehensive mental health assessments focusing on specific needs of the child.

  7. Temporal patterns of mental model convergence: implications for distributed teams interacting in electronic collaboration spaces.

    PubMed

    McComb, Sara; Kennedy, Deanna; Perryman, Rebecca; Warner, Norman; Letsky, Michael

    2010-04-01

    Our objective is to capture temporal patterns in mental model convergence processes and differences in these patterns between distributed teams using an electronic collaboration space and face-to-face teams with no interface. Distributed teams, as sociotechnical systems, collaborate via technology to work on their task. The way in which they process information to inform their mental models may be examined via team communication and may unfold differently than it does in face-to-face teams. We conducted our analysis on 32 three-member teams working on a planning task. Half of the teams worked as distributed teams in an electronic collaboration space, and the other half worked face-to-face without an interface. Using event history analysis, we found temporal interdependencies among the initial convergence points of the multiple mental models we examined. Furthermore, the timing of mental model convergence and the onset of task work discussions were related to team performance. Differences existed in the temporal patterns of convergence and task work discussions across conditions. Distributed teams interacting via an electronic interface and face-to-face teams with no interface converged on multiple mental models, but their communication patterns differed. In particular, distributed teams with an electronic interface required less overall communication, converged on all mental models later in their life cycles, and exhibited more linear cognitive processes than did face-to-face teams interacting verbally. Managers need unique strategies for facilitating communication and mental model convergence depending on teams' degrees of collocation and access to an interface, which in turn will enhance team performance.

  8. A pairwise maximum entropy model accurately describes resting-state human brain networks

    PubMed Central

    Watanabe, Takamitsu; Hirose, Satoshi; Wada, Hiroyuki; Imai, Yoshio; Machida, Toru; Shirouzu, Ichiro; Konishi, Seiki; Miyashita, Yasushi; Masuda, Naoki

    2013-01-01

    The resting-state human brain networks underlie fundamental cognitive functions and consist of complex interactions among brain regions. However, the level of complexity of the resting-state networks has not been quantified, which has prevented comprehensive descriptions of the brain activity as an integrative system. Here, we address this issue by demonstrating that a pairwise maximum entropy model, which takes into account region-specific activity rates and pairwise interactions, can be robustly and accurately fitted to resting-state human brain activities obtained by functional magnetic resonance imaging. Furthermore, to validate the approximation of the resting-state networks by the pairwise maximum entropy model, we show that the functional interactions estimated by the pairwise maximum entropy model reflect anatomical connexions more accurately than the conventional functional connectivity method. These findings indicate that a relatively simple statistical model not only captures the structure of the resting-state networks but also provides a possible method to derive physiological information about various large-scale brain networks. PMID:23340410

  9. Profile of Students’ Mental Model Change on Law Concepts Archimedes as Impact of Multi-Representation Approach

    NASA Astrophysics Data System (ADS)

    Taher, M.; Hamidah, I.; Suwarma, I. R.

    2017-09-01

    This paper outlined the results of an experimental study on the effects of multi-representation approach in learning Archimedes Law on students’ mental model improvement. The multi-representation techniques implemented in the study were verbal, pictorial, mathematical, and graphical representations. Students’ mental model was classified into three levels, i.e. scientific, synthetic, and initial levels, based on the students’ level of understanding. The present study employed the pre-experimental methodology, using one group pretest-posttest design. The subject of the study was 32 eleventh grade students in a Public Senior High School in Riau Province. The research instrument included model mental test on hydrostatic pressure concept, in the form of essay test judged by experts. The findings showed that there was positive change in students’ mental model, indicating that multi-representation approach was effective to improve students’ mental model.

  10. Assessing Mental Models of Emergencies Through Two Knowledge Elicitation Tasks.

    PubMed

    Whitmer, Daphne E; Sims, Valerie K; Torres, Michael E

    2017-05-01

    The goals of this study were to assess the risk identification aspect of mental models using standard elicitation methods and how university campus alerts were related to these mental models. People fail to follow protective action recommendations in emergency warnings. Past research has yet to examine cognitive processes that influence emergency decision-making. Study 1 examined 2 years of emergency alerts distributed by a large southeastern university. In Study 2, participants listed emergencies in a thought-listing task. Study 3 measured participants' time to decide if a situation was an emergency. The university distributed the most alerts about an armed person, theft, and fire. In Study 2, participants most frequently listed fire, car accident, heart attack, and theft. In Study 3, participants quickly decided a bomb, murder, fire, tornado, and rape were emergencies. They most slowly decided that a suspicious package and identify theft were emergencies. Recent interaction with warnings was only somewhat related to participants' mental models of emergencies. Risk identification precedes decision-making and applying protective actions. Examining these characteristics of people's mental representations of emergencies is fundamental to further understand why some emergency warnings go ignored. Someone must believe a situation is serious to categorize it as an emergency before taking the protective action recommendations in an emergency warning. Present-day research must continue to examine the problem of people ignoring warning communication, as there are important cognitive factors that have not yet been explored until the present research.

  11. The Development of Students' Mental Models of Chemical Substances and Processes at the Molecular Level

    NASA Astrophysics Data System (ADS)

    Dalton, Rebecca Marie

    The development of student's mental models of chemical substances and processes at the molecular level was studied in a three-phase project. Animations produced in the VisChem project were used as an integral part of the chemistry instruction to help students develop their mental models. Phase one of the project involved examining the effectiveness of using animations to help first-year university chemistry students develop useful mental models of chemical phenomena. Phase two explored factors affecting the development of student's mental models, analysing results in terms of a proposed model of the perceptual processes involved in interpreting an animation. Phase three involved four case studies that served to confirm and elaborate on the effects of prior knowledge and disembedding ability on student's mental model development, and support the influence of study style on learning outcomes. Recommendations for use of the VisChem animations, based on the above findings, include: considering the prior knowledge of students; focusing attention on relevant features; encouraging a deep approach to learning; using animation to teach visual concepts; presenting ideas visually, verbally and conceptually; establishing 'animation literacy'; minimising cognitive load; using animation as feedback; using student drawings; repeating animations; and discussing 'scientific modelling'.

  12. Negative Integer Understanding: Characterizing First Graders' Mental Models

    ERIC Educational Resources Information Center

    Bofferding, Laura

    2014-01-01

    This article presents results of a research study. Sixty-one first graders' responses to interview questions about negative integer values and order and directed magnitudes were examined to characterize the students' mental models. The models reveal that initially, students overrelied on various combinations of whole-number principles as…

  13. A Team Mental Model Perspective of Pre-Quantitative Risk

    NASA Technical Reports Server (NTRS)

    Cooper, Lynne P.

    2011-01-01

    This study was conducted to better understand how teams conceptualize risk before it can be quantified, and the processes by which a team forms a shared mental model of this pre-quantitative risk. Using an extreme case, this study analyzes seven months of team meeting transcripts, covering the entire lifetime of the team. Through an analysis of team discussions, a rich and varied structural model of risk emerges that goes significantly beyond classical representations of risk as the product of a negative consequence and a probability. In addition to those two fundamental components, the team conceptualization includes the ability to influence outcomes and probabilities, networks of goals, interaction effects, and qualitative judgments about the acceptability of risk, all affected by associated uncertainties. In moving from individual to team mental models, team members employ a number of strategies to gain group recognition of risks and to resolve or accept differences.

  14. A developmental approach to mentalizing communities: I. A model for social change.

    PubMed

    Twemlow, Stuart W; Fonagy, Peter; Sacco, Frank C

    2005-01-01

    A developmental model is proposed applying attachment theory to complex social systems to promote social change. The idea of mentalizing communities is outlined with a proposal for three projects testing the model: ways to reduce bullying and create a peaceful climate in schools, projects to promote compassion in cities by a focus of end-of-life care, and a mentalization-based intervention into parenting style of borderline and substance abusing parents.

  15. Use of Mental Health Services among People with Co-Occurring Disorders and other Mental Health co-morbidities: Employing the Behavioral Model of Vulnerable Populations

    PubMed Central

    Small, La Fleur F.

    2010-01-01

    Background Persons with mental disorders frequently have other co-occurring problems such as substance related disorders and HIV/AIDS. Individuals with co-occurring medical and mental disorders encounter great obstacles to receiving mental health services. Aims This paper uses the Behavioral Model of Vulnerable Populations to evaluate use of mental health services among groups with co-occurring disorders (CODs) and other co-morbid relationships. The association between receipt of mental health treatment and traditional/vulnerable predisposing, enabling, and need factors are examined. Methods Bivariate analysis and two-stage hierarchical logistic regression were completed. Resutls A sample of 553 persons who reported mental health problems within the past year had one or more of the following vulnerabilities: (1) substance disorders; (2) homelessness; (3) victims of violent crime; (4) diagnosed with HIV/AIDS; (5) recipient of public benefits; and 31.3% reported having received some form of mental health treatment. Both traditional and vulnerable characteristics are significant predictors of receipt of mental health treatment. Vulnerable predictors indicated decreased odds of receiving mental health treatment were associated with injection and chronic drug use, (OR = .42, CI: .22 – .77) and (OR = .38, CI: .22 – .64) respectively. Conclusion The Behavioral Model of Vulnerable Populations could be employed in future research of CODs and other co-morbid group’s utilization of mental health treatment. PMID:20559416

  16. Infertile Individuals’ Marital Relationship Status, Happiness, and Mental Health: A Causal Model

    PubMed Central

    Ahmadi Forooshany, Seyed Habiballah; Yazdkhasti, Fariba; Safari Hajataghaie, Saiede; Nasr Esfahani, Mohammad Hossein

    2014-01-01

    Background This study examined the causal model of relation between marital relation- ship status, happiness, and mental health in infertile individuals. Materials and Methods In this descriptive study, 155 subjects (men: 52 and women: 78), who had been visited in one of the infertility Centers, voluntarily participated in a self-evaluation. Golombok Rust Inventory of Marital Status, Oxford Happiness Ques- tionnaire, and General Health Questionnaire were used as instruments of the study. Data was analyzed by SPSS17 and Amos 5 software using descriptive statistics, independent sample t test, and path analysis. Results Disregarding the gender factor, marital relationship status was directly related to happiness (p<0.05) and happiness was directly related to mental health, (p<0.05). Also, indirect relation between marital relationship status and mental health was significant (p<0.05). These results were confirmed in women participants but in men participants only the direct relation between happiness and mental health was significant (p<0.05). Conclusion Based on goodness of model fit in fitness indexes, happiness had a mediator role in relation between marital relationship status and mental health in infertile individu- als disregarding the gender factor. Also, considering the gender factor, only in infertile women, marital relationship status can directly and indirectly affect happiness and mental health. PMID:25379161

  17. Accurate, low-cost 3D-models of gullies

    NASA Astrophysics Data System (ADS)

    Onnen, Nils; Gronz, Oliver; Ries, Johannes B.; Brings, Christine

    2015-04-01

    Soil erosion is a widespread problem in arid and semi-arid areas. The most severe form is the gully erosion. They often cut into agricultural farmland and can make a certain area completely unproductive. To understand the development and processes inside and around gullies, we calculated detailed 3D-models of gullies in the Souss Valley in South Morocco. Near Taroudant, we had four study areas with five gullies different in size, volume and activity. By using a Canon HF G30 Camcorder, we made varying series of Full HD videos with 25fps. Afterwards, we used the method Structure from Motion (SfM) to create the models. To generate accurate models maintaining feasible runtimes, it is necessary to select around 1500-1700 images from the video, while the overlap of neighboring images should be at least 80%. In addition, it is very important to avoid selecting photos that are blurry or out of focus. Nearby pixels of a blurry image tend to have similar color values. That is why we used a MATLAB script to compare the derivatives of the images. The higher the sum of the derivative, the sharper an image of similar objects. MATLAB subdivides the video into image intervals. From each interval, the image with the highest sum is selected. E.g.: 20min. video at 25fps equals 30.000 single images. The program now inspects the first 20 images, saves the sharpest and moves on to the next 20 images etc. Using this algorithm, we selected 1500 images for our modeling. With VisualSFM, we calculated features and the matches between all images and produced a point cloud. Then, MeshLab has been used to build a surface out of it using the Poisson surface reconstruction approach. Afterwards we are able to calculate the size and the volume of the gullies. It is also possible to determine soil erosion rates, if we compare the data with old recordings. The final step would be the combination of the terrestrial data with the data from our aerial photography. So far, the method works well and we

  18. A method of designing smartphone interface based on the extended user's mental model

    NASA Astrophysics Data System (ADS)

    Zhao, Wei; Li, Fengmin; Bian, Jiali; Pan, Juchen; Song, Song

    2017-01-01

    The user's mental model is the core guiding theory of product design, especially practical products. The essence of practical product is a tool which is used by users to meet their needs. Then, the most important feature of a tool is usability. The design method based on the user's mental model provides a series of practical and feasible theoretical guidance for improving the usability of the product according to the user's awareness of things. In this paper, we propose a method of designing smartphone interface based on the extended user's mental model according to further research on user groups. This approach achieves personalized customization of smartphone application interface and enhance application using efficiency.

  19. Burden of Mental Illness and Non-communicable Diseases and Risk Factors for Mental Illness Among Refugees in Buffalo, NY, 2004-2014.

    PubMed

    Mulugeta, Wudeneh; Xue, Hong; Glick, Myron; Min, Jungwon; Noe, Michael F; Wang, Youfa

    2018-05-21

    Limited is known about mental illness and non-communicable diseases (NCDs) and their risk factors among refugees. These were studied using data collected from a refugee population in Buffalo, NY. Longitudinal data collected on 1055 adults (> 18 years) at a large refugee health center in Buffalo, NY, during 2004-2014 were used. Main outcomes were hypertension, diabetes, tobacco use, obesity, overweight/obesity, and mental illness. Risk factors were assessed using multivariate regression models. Compared to those without mental illness, refugees with mental illness had higher rates of hypertension (16.9 vs 28.4%, P < 0.001), diabetes (8.4 vs 13.6%, P = 0.03), tobacco use (9.3 vs 18.3%, P < 0.001), obesity (13.0 vs 25.4%, P < 0.001), and overweight/obesity rates (45.0 vs 61.5%, P < 0.001). During 2004-2014, obesity rates increased among those with mental illness (25.4 to 36.7%, P < 0.001) and without mental illness (13.0 to 24.5%, P < 0.001). The overall mental illness prevalence among refugees was 16%, ranging from 6.9% among Asians to 43.9% among Cubans. Women were more likely to have mental illness (odds ratio = 2.45; 95% confidence interval [CI] = 1.68-3.58) than men. Refugees who lived longer in the USA were more likely to carry psychiatric diagnoses (OR = 1.12; 95% CI = 1.04-1.21). Mental illness rates varied considerably across various refugee groups. Rates of obesity and NCDs among refugees with mental illness were higher than among those without mental disorders. Gender, region of origin, and length of stay in the USA were associated with mental illness. Accurate and culturally sensitive screenings and assessments of mental illness are needed to reduce these health disparities.

  20. Mentalized affectivity: A new model and assessment of emotion regulation

    PubMed Central

    Kolasi, Jonela; Hegsted, Camilla P.; Berkowitz, Yoni; Jurist, Elliot L.

    2017-01-01

    Here we introduce a new assessment of emotion regulation called the Mentalized Affectivity Scale (MAS). A large online adult sample (N = 2,840) completed the 60-item MAS along with a battery of psychological measures. Results revealed a robust three-component structure underlying mentalized affectivity, which we labeled: Identifying emotions (the ability to identify emotions and to reflect on the factors that influence them); Processing emotions (the ability to modulate and distinguish complex emotions); and Expressing emotions (the tendency to express emotions outwardly or inwardly). Hierarchical modeling suggested that Processing emotions delineates from Identifying them, and Expressing emotions delineates from Processing them. We then showed how these components are associated with personality traits, well-being, trauma, and 18 different psychological disorders (including mood, neurological, and personality disorders). Notably, those with anxiety, mood, and personality disorders showed a profile of high Identifying and low Processing compared to controls. Further, results showed how mentalized affectivity scores varied across psychological treatment modalities and years spent in therapy. Taken together, the model of mentalized affectivity advances prior theory and research on emotion regulation and the MAS is a useful and reliable instrument that can be used in both clinical and non-clinical settings in psychology, psychiatry, and neuroscience. PMID:29045403

  1. The Impact of Field Trips and Family Involvement on Mental Models of the Desert Environment

    NASA Astrophysics Data System (ADS)

    Judson, Eugene

    2011-07-01

    This study examined the mental models of the desert environment held by fourth- and seventh-grade students in the USA and whether those mental models could be affected by: (1) classroom field trips to a desert riparian preserve, and (2) interaction with family members at the same preserve. Results generally indicated that students in this study were resolute in their models and that field trips did not impact the types of models students adhered to. Twenty-three seventh-grade students who self-selected to participate in a Family Science Club with their parents did demonstrate a shift in their mental models and developed significantly more sophisticated models over time. A critical implication of the study is that unless transformation of mental models of the environment is an explicit goal of instruction, simple exposure to the environment (even within the context of life science instruction) will not transform understandings of how organisms within an environment act and interact interdependently.

  2. Mental models in risk assessment: informing people about drugs.

    PubMed

    Jungermann, H; Schütz, H; Thüring, M

    1988-03-01

    One way to communicate about the risks of drugs is through the use of package inserts. The problems associated with this medium of informing patients have been investigated by several researchers who found that people require information about drugs they are using, including extensive risk information, and that they are willing to take this information into account in their usage of drugs. But empirical results also show that people easily misinterpret the information given. A conceptual framework is proposed that might be used for better understanding the cognitive processes involved in such a type of risk assessment and communication. It is based on the idea that people develop, through experience, a mental model of how a drug works, which effects it might produce, that contraindications have to be considered, etc. This mental model is "run" when a specific package insert has been read and a specific question arises such as, for example, whether certain symptoms can be explained as normal or whether they require special attention and action. We argue that the mental model approach offers a useful perspective for examining how people understand package inserts, and consequently for improving their content and design. The approach promises to be equally useful for other aspects of risk analysis that are dependent upon human judgment and decision making, e.g., threat diagnosis and human reliability analysis.

  3. Making the case for a model mental health advance directive statute.

    PubMed

    Clausen, Judy A

    2014-01-01

    Acute episodes of mental illness temporarily destroy the capacity required to give informed consent and often prevent people from realizing they are sick, causing them to refuse intervention. Once a person refuses treatment, the only way to obtain care is as an involuntary patient. Even in the midst of acute episodes, many people do not meet commitment criteria because they are not likely to injure themselves or others and are still able to care for their basic needs. Left untreated, the episode will likely spiral out of control. By the time the person finally meets strict commitment criteria, devastation has already occurred. This Article argues that an individual should have the right to enter a Ulysses arrangement, a special type of mental health advance directive that authorizes a doctor to administer treatment during a future episode even if the episode causes the individual to refuse care. The Uniform Law Commissioners enacted the Uniform Health-Care Decisions Act as a model statute to address all types of advance health care planning, including planning for mental illness. However, the Act focuses on end-of-life care and fails to address many issues faced by people with mental illness. For example, the Act does not empower people to enter Ulysses arrangements and eliminates writing and witnessing requirements that protect against fraud and coercion. This Article recommends that the Uniform Law Commissioners adopt a model mental health advance directive statute that empowers people to enter Ulysses arrangements and provides safeguards against abuse. Appendix A sets forth model provisions.

  4. Mediating Mental Models of Metals: Acknowledging the Priority of the Learner's Prior Learning

    ERIC Educational Resources Information Center

    Taber, Keith S.

    2003-01-01

    This paper describes the conceptualizations, or mental models, of the nature of the bonding and structure of metals of a group of U.K. college students. It is suggested that these mental models may be understood in terms of the students' prior learning about covalent and ionic bonding, and the prevalence of a common alternative conceptual…

  5. An Accurate Absorption-Based Net Primary Production Model for the Global Ocean

    NASA Astrophysics Data System (ADS)

    Silsbe, G.; Westberry, T. K.; Behrenfeld, M. J.; Halsey, K.; Milligan, A.

    2016-02-01

    As a vital living link in the global carbon cycle, understanding how net primary production (NPP) varies through space, time, and across climatic oscillations (e.g. ENSO) is a key objective in oceanographic research. The continual improvement of ocean observing satellites and data analytics now present greater opportunities for advanced understanding and characterization of the factors regulating NPP. In particular, the emergence of spectral inversion algorithms now permits accurate retrievals of the phytoplankton absorption coefficient (aΦ) from space. As NPP is the efficiency in which absorbed energy is converted into carbon biomass, aΦ measurements circumvents chlorophyll-based empirical approaches by permitting direct and accurate measurements of phytoplankton energy absorption. It has long been recognized, and perhaps underappreciated, that NPP and phytoplankton growth rates display muted variability when normalized to aΦ rather than chlorophyll. Here we present a novel absorption-based NPP model that parameterizes the underlying physiological mechanisms behind this muted variability, and apply this physiological model to the global ocean. Through a comparison against field data from the Hawaii and Bermuda Ocean Time Series, we demonstrate how this approach yields more accurate NPP measurements than other published NPP models. By normalizing NPP to satellite estimates of phytoplankton carbon biomass, this presentation also explores the seasonality of phytoplankton growth rates across several oceanic regions. Finally, we discuss how future advances in remote-sensing (e.g. hyperspectral satellites, LIDAR, autonomous profilers) can be exploited to further improve absorption-based NPP models.

  6. Application of the PRECEDE Model to Understanding Mental Health Promoting Behaviors in Hong Kong

    ERIC Educational Resources Information Center

    Mo, Phoenix K. H.; Mak, Winnie W. S.

    2008-01-01

    The burdens related to mental illness have been increasingly recognized in many countries. Nevertheless, research in positive mental health behaviors remains scarce. This study utilizes the Predisposing, Reinforcing, and Enabling Causes in Education Diagnosis and Evaluation (PRECEDE) model to identify factors associated with mental health…

  7. Day/Night Cycle: Mental Models of Primary School Children

    ERIC Educational Resources Information Center

    Chiras, Andreas

    2008-01-01

    The study investigated the mental models of primary school children related to the day/night cycle. Semi-structure interviews were conducted with 40 fourth-grade and 40 sixth-grade children. Qualitative and quantitative analysis of the data indicated that the majority of the children were classified as having geocentric models. The results also…

  8. Not of One Mind: Mental Models of Clinical Practice Guidelines in the Veterans Health Administration

    PubMed Central

    Hysong, Sylvia J; Best, Richard G; Pugh, Jacqueline A; Moore, Frank I

    2005-01-01

    Objective The purpose of this paper is to present differences in mental models of clinical practice guidelines (CPGs) among 15 Veterans Health Administration (VHA) facilities throughout the United States. Data Sources Two hundred and forty-four employees from 15 different VHA facilities across four service networks around the country were invited to participate. Participants were selected from different levels throughout each service setting from primary care personnel to facility leadership. Study Design This qualitative study used purposive sampling, a semistructured interview process for data collection, and grounded theory techniques for analysis. Data Collection A semistructured interview was used to collect information on participants' mental models of CPGs, as well as implementation strategies and barriers in their facility. Findings Analysis of these interviews using grounded theory techniques indicated that there was wide variability in employees' mental models of CPGs. Findings also indicated that high-performing facilities exhibited both (a) a clear, focused shared mental model of guidelines and (b) a tendency to use performance feedback as a learning opportunity, thus suggesting that a shared mental model is a necessary but not sufficient step toward successful guideline implementation. Conclusions We conclude that a clear shared mental model of guidelines, in combination with a learning orientation toward feedback are important components for successful guideline implementation and improved quality of care. PMID:15960693

  9. The Mental Effort-Reward Imbalances Model and Its Implications for Behaviour Management

    ERIC Educational Resources Information Center

    Poulton, Alison; Whale, Samina; Robinson, Joanne

    2016-01-01

    Attention deficit hyperactivity disorder (ADHD) is frequently associated with oppositional defiant disorder (ODD). The Mental Effort Reward Imbalances Model (MERIM) explains this observational association as follows: in ADHD a disproportionate level of mental effort is required for sustaining concentration for achievement; in ODD the subjective…

  10. Common sense model of mental illness: Understanding the impact of cognitive and emotional representations of mental illness on recovery through the mediation of self-stigma.

    PubMed

    Chan, Randolph C H; Mak, Winnie W S

    2016-12-30

    The present study applied the common sense model to understand the underlying mechanism of how cognitive and emotional representations of mental illness among people in recovery of mental illness would impact their endorsement of self-stigma, and how that would, in turn, affect clinical and personal recovery. A cross-sectional survey was administered to 376 people in recovery. Participants were recruited from seven public specialty outpatient clinics and substance abuse assessment clinics across various districts in Hong Kong. They were asked to report their perception towards their mental illness, self-stigma, symptom severity, and personal recovery. The results of structural equation modeling partially supported the hypothesized mediation model indicating that controllability, consequences, and emotional concern of mental illness, but not cause, timeline, and identity, were associated with self-stigma, which was subsequently negatively associated with clinical and personal recovery. The present study demonstrated the mediating role of self-stigma in the relationship between individuals' illness representations towards their mental illness and their recovery. Illness management programs aimed at addressing the maladaptive mental illness-related beliefs and emotions are recommended. Implications on developing self-directed and empowering mental health services are discussed. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  11. Student perception and conceptual development as represented by student mental models of atomic structure

    NASA Astrophysics Data System (ADS)

    Park, Eun Jung

    The nature of matter based upon atomic theory is a principal concept in science; hence, how to teach and how to learn about atoms is an important subject for science education. To this end, this study explored student perceptions of atomic structure and how students learn about this concept by analyzing student mental models of atomic structure. Changes in student mental models serve as a valuable resource for comprehending student conceptual development. Data was collected from students who were taking the introductory chemistry course. Responses to course examinations, pre- and post-questionnaires, and pre- and post-interviews were used to analyze student mental models of atomic structure. First, this study reveals that conceptual development can be achieved, either by elevating mental models toward higher levels of understanding or by developing a single mental model. This study reinforces the importance of higher-order thinking skills to enable students to relate concepts in order to construct a target model of atomic structure. Second, Bohr's orbital structure seems to have had a strong influence on student perceptions of atomic structure. With regard to this finding, this study suggests that it is instructionally important to teach the concept of "orbitals" related to "quantum theory." Third, there were relatively few students who had developed understanding at the level of the target model, which required student understanding of the basic ideas of quantum theory. This study suggests that the understanding of atomic structure based on the idea of quantum theory is both important and difficult. Fourth, this study included different student assessments comprised of course examinations, questionnaires, and interviews. Each assessment can be used to gather information to map out student mental models. Fifth, in the comparison of the pre- and post-interview responses, this study showed that high achieving students moved toward more improved models or to advanced

  12. Accurate pressure gradient calculations in hydrostatic atmospheric models

    NASA Technical Reports Server (NTRS)

    Carroll, John J.; Mendez-Nunez, Luis R.; Tanrikulu, Saffet

    1987-01-01

    A method for the accurate calculation of the horizontal pressure gradient acceleration in hydrostatic atmospheric models is presented which is especially useful in situations where the isothermal surfaces are not parallel to the vertical coordinate surfaces. The present method is shown to be exact if the potential temperature lapse rate is constant between the vertical pressure integration limits. The technique is applied to both the integration of the hydrostatic equation and the computation of the slope correction term in the horizontal pressure gradient. A fixed vertical grid and a dynamic grid defined by the significant levels in the vertical temperature distribution are employed.

  13. Effects of Instructional Design with Mental Model Analysis on Learning.

    ERIC Educational Resources Information Center

    Hong, Eunsook

    This paper presents a model for systematic instructional design that includes mental model analysis together with the procedures used in developing computer-based instructional materials in the area of statistical hypothesis testing. The instructional design model is based on the premise that the objective for learning is to achieve expert-like…

  14. An analytic model for accurate spring constant calibration of rectangular atomic force microscope cantilevers.

    PubMed

    Li, Rui; Ye, Hongfei; Zhang, Weisheng; Ma, Guojun; Su, Yewang

    2015-10-29

    Spring constant calibration of the atomic force microscope (AFM) cantilever is of fundamental importance for quantifying the force between the AFM cantilever tip and the sample. The calibration within the framework of thin plate theory undoubtedly has a higher accuracy and broader scope than that within the well-established beam theory. However, thin plate theory-based accurate analytic determination of the constant has been perceived as an extremely difficult issue. In this paper, we implement the thin plate theory-based analytic modeling for the static behavior of rectangular AFM cantilevers, which reveals that the three-dimensional effect and Poisson effect play important roles in accurate determination of the spring constants. A quantitative scaling law is found that the normalized spring constant depends only on the Poisson's ratio, normalized dimension and normalized load coordinate. Both the literature and our refined finite element model validate the present results. The developed model is expected to serve as the benchmark for accurate calibration of rectangular AFM cantilevers.

  15. Use of the Child Behavior Checklist as a Diagnostic Screening Tool in Community Mental Health

    ERIC Educational Resources Information Center

    Rishel, Carrie W.; Greeno, Catherine; Marcus, Steven C.; Shear, M. Katherine; Anderson, Carol

    2005-01-01

    Objective: This study examines whether the Child Behavior Checklist (CBCL) can be used as an accurate psychiatric screening tool for children in community mental health settings. Method: Associations, logistic regression models, and receiver operating characteristic (ROC) analysis were used to test the predictive relationship between the CBCL and…

  16. Emerging Issues and Models in College Mental Health Services

    ERIC Educational Resources Information Center

    Locke, Ben; Wallace, David; Brunner, Jon

    2016-01-01

    This chapter provides a brief overview of the psychological issues facing today's college students, information about students receiving mental health services, and an evidence-based model describing the practice and functions of today's counseling centers.

  17. Scanning of speechless comics changes spatial biases in mental model construction.

    PubMed

    Román, Antonio; Flumini, Andrea; Santiago, Julio

    2018-08-05

    The mental representation of both time and number shows lateral spatial biases, which can be affected by habitual reading and writing direction. However, this effect is in place before children begin to read. One potential early cause is the experiences of looking at picture books together with a carer, as those images also follow the directionality of the script. What is the underlying mechanism for this effect? In the present study, we test the possibility that such experiences induce spatial biases in mental model construction, a mechanism which is a good candidate to induce the biases observed with numbers and times. We presented a speechless comic in either standard (left-to-right) or mirror-reversed (right-to-left) form to adult Spanish participants. We then asked them to draw the scene depicted by sentences like 'the square is between the cross and the circle'. The position of the lateral objects in these drawings reveals the spatial biases at work when building mental models in working memory. Under conditions of highly consistent directionality, the mirror comic changed pre-existing lateral biases. Processes of mental model construction in working memory stand as a potential mechanism for the generation of spatial biases for time and number.This article is part of the theme issue 'Varieties of abstract concepts: development, use and representation in the brain'. © 2018 The Author(s).

  18. A Multiscale Red Blood Cell Model with Accurate Mechanics, Rheology, and Dynamics

    PubMed Central

    Fedosov, Dmitry A.; Caswell, Bruce; Karniadakis, George Em

    2010-01-01

    Abstract Red blood cells (RBCs) have highly deformable viscoelastic membranes exhibiting complex rheological response and rich hydrodynamic behavior governed by special elastic and bending properties and by the external/internal fluid and membrane viscosities. We present a multiscale RBC model that is able to predict RBC mechanics, rheology, and dynamics in agreement with experiments. Based on an analytic theory, the modeled membrane properties can be uniquely related to the experimentally established RBC macroscopic properties without any adjustment of parameters. The RBC linear and nonlinear elastic deformations match those obtained in optical-tweezers experiments. The rheological properties of the membrane are compared with those obtained in optical magnetic twisting cytometry, membrane thermal fluctuations, and creep followed by cell recovery. The dynamics of RBCs in shear and Poiseuille flows is tested against experiments and theoretical predictions, and the applicability of the latter is discussed. Our findings clearly indicate that a purely elastic model for the membrane cannot accurately represent the RBC's rheological properties and its dynamics, and therefore accurate modeling of a viscoelastic membrane is necessary. PMID:20483330

  19. Mental models, metaphors and their use in the education of nurses.

    PubMed

    Burke, L M; Wilson, A M

    1997-11-01

    A great deal of nurses' confidence in the use of information technology (IT) depends both on the way computers are introduced to students in the college and how such education is continued and applied when they are practitioners. It is therefore vital that teachers of IT assist nurses to discover ways of learning to utilize and apply computers within their workplace with whatever methods are available. One method which has been introduced with success in other fields is the use of mental models and metaphors. Mental models and metaphors enable individuals to learn by building on past learning. Concepts and ideas which have already been internalized from past experience can be transferred and adapted for usage in a new learning situation with computers and technology. This article explores the use of mental models and metaphors for the technological education of nurses. The concepts themselves will be examined, followed by suggestions for possible applications specifically in the field of nursing and health care. Finally the role of the teacher in enabling improved learning as a result of these techniques will be addressed.

  20. Mental health courts and their selection processes: modeling variation for consistency.

    PubMed

    Wolff, Nancy; Fabrikant, Nicole; Belenko, Steven

    2011-10-01

    Admission into mental health courts is based on a complicated and often variable decision-making process that involves multiple parties representing different expertise and interests. To the extent that eligibility criteria of mental health courts are more suggestive than deterministic, selection bias can be expected. Very little research has focused on the selection processes underpinning problem-solving courts even though such processes may dominate the performance of these interventions. This article describes a qualitative study designed to deconstruct the selection and admission processes of mental health courts. In this article, we describe a multi-stage, complex process for screening and admitting clients into mental health courts. The selection filtering model that is described has three eligibility screening stages: initial, assessment, and evaluation. The results of this study suggest that clients selected by mental health courts are shaped by the formal and informal selection criteria, as well as by the local treatment system.

  1. A dental vision system for accurate 3D tooth modeling.

    PubMed

    Zhang, Li; Alemzadeh, K

    2006-01-01

    This paper describes an active vision system based reverse engineering approach to extract the three-dimensional (3D) geometric information from dental teeth and transfer this information into Computer-Aided Design/Computer-Aided Manufacture (CAD/CAM) systems to improve the accuracy of 3D teeth models and at the same time improve the quality of the construction units to help patient care. The vision system involves the development of a dental vision rig, edge detection, boundary tracing and fast & accurate 3D modeling from a sequence of sliced silhouettes of physical models. The rig is designed using engineering design methods such as a concept selection matrix and weighted objectives evaluation chart. Reconstruction results and accuracy evaluation are presented on digitizing different teeth models.

  2. Periodic Properties and Inquiry: Student Mental Models Observed during a Periodic Table Puzzle Activity

    ERIC Educational Resources Information Center

    Larson, Kathleen G.; Long, George R.; Briggs, Michael W.

    2012-01-01

    The mental models of both novice and advanced chemistry students were observed while the students performed a periodic table activity. The mental model framework seems to be an effective way of analyzing student behavior during learning activities. The analysis suggests that students do not recognize periodic trends through the examination of…

  3. Building capacity in mental health interventions in low resource countries: an apprenticeship model for training local providers

    PubMed Central

    2011-01-01

    Background Recent global mental health research suggests that mental health interventions can be adapted for use across cultures and in low resource environments. As evidence for the feasibility and effectiveness of certain specific interventions begins to accumulate, guidelines are needed for how to train, supervise, and ideally sustain mental health treatment delivery by local providers in low- and middle-income countries (LMIC). Model and case presentations This paper presents an apprenticeship model for lay counselor training and supervision in mental health treatments in LMIC, developed and used by the authors in a range of mental health intervention studies conducted over the last decade in various low-resource settings. We describe the elements of this approach, the underlying logic, and provide examples drawn from our experiences working in 12 countries, with over 100 lay counselors. Evaluation We review the challenges experienced with this model, and propose some possible solutions. Discussion We describe and discuss how this model is consistent with, and draws on, the broader dissemination and implementation (DI) literature. Conclusion In our experience, the apprenticeship model provides a useful framework for implementation of mental health interventions in LMIC. Our goal in this paper is to provide sufficient details about the apprenticeship model to guide other training efforts in mental health interventions. PMID:22099582

  4. Modeling the mental health effects of victimization among homeless persons

    PubMed Central

    Perron, Brian Edward; Alexander-Eitzman, Ben; Gillespie, David F.; Pollio, David

    2014-01-01

    Homeless persons are victims of violent and non-violent crime at higher rates than housed populations. While studies have suggested that victimization can induce or exacerbate mental health problems, there is very little known about factors that may buffer the effects of victimization. This cross-sectional study examined the influence of victimization on depressive symptoms in over 9600 homeless and mentally ill adults participating in the Access to Community Care and Effective Services and Supports study (ACCESS) conducted in multiple cities across the USA relationships between victimization, depressive symptoms, and perceived safety were tested within a structural equation modeling framework using data collected at the baseline interview. The overall model exhibited a good fit with the data. Non-physical victimization was associated with higher levels of depressive symptoms, and physical victimization was associated with lower levels of perceived safety. As hypothesized, perceived safety was a significant partial mediator of depressive symptoms. These results underscore the complexity of the relationships between victimization and depression in homeless adults and the importance of addressing different types of victimization in homeless and mentally ill adults. PMID:18703266

  5. Modeling the mental health effects of victimization among homeless persons.

    PubMed

    Perron, Brian Edward; Alexander-Eitzman, Ben; Gillespie, David F; Pollio, David

    2008-11-01

    Homeless persons are victims of violent and non-violent crime at higher rates than housed populations. While studies have suggested that victimization can induce or exacerbate mental health problems, there is very little known about factors that may buffer the effects of victimization. This cross-sectional study examined the influence of victimization on depressive symptoms in over 9600 homeless and mentally ill adults participating in the Access to Community Care and Effective Services and Supports study (ACCESS) conducted in multiple cities across the USA relationships between victimization, depressive symptoms, and perceived safety were tested within a structural equation modeling framework using data collected at the baseline interview. The overall model exhibited a good fit with the data. Non-physical victimization was associated with higher levels of depressive symptoms, and physical victimization was associated with lower levels of perceived safety. As hypothesized, perceived safety was a significant partial mediator of depressive symptoms. These results underscore the complexity of the relationships between victimization and depression in homeless adults and the importance of addressing different types of victimization in homeless and mentally ill adults.

  6. Is the mental wellbeing of young Australians best represented by a single, multidimensional or bifactor model?

    PubMed

    Hides, Leanne; Quinn, Catherine; Stoyanov, Stoyan; Cockshaw, Wendell; Mitchell, Tegan; Kavanagh, David J

    2016-07-30

    Internationally there is a growing interest in the mental wellbeing of young people. However, it is unclear whether mental wellbeing is best conceptualized as a general wellbeing factor or a multidimensional construct. This paper investigated whether mental wellbeing, measured by the Mental Health Continuum-Short Form (MHC-SF), is best represented by: (1) a single-factor general model; (2) a three-factor multidimensional model or (3) a combination of both (bifactor model). 2220 young Australians aged between 16 and 25 years completed an online survey including the MHC-SF and a range of other wellbeing and mental ill-health measures. Exploratory factor analysis supported a bifactor solution, comprised of a general wellbeing factor, and specific group factors of psychological, social and emotional wellbeing. Confirmatory factor analysis indicated that the bifactor model had a better fit than competing single and three-factor models. The MHC-SF total score was more strongly associated with other wellbeing and mental ill-health measures than the social, emotional or psychological subscale scores. Findings indicate that the mental wellbeing of young people is best conceptualized as an overarching latent construct (general wellbeing) to which emotional, social and psychological domains contribute. The MHC-SF total score is a valid and reliable measure of this general wellbeing factor. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  7. Models of user involvement in the mental health context: intentions and implementation challenges.

    PubMed

    Storm, Marianne; Edwards, Adrian

    2013-09-01

    Patient-centered care, shared decision-making, patient participation and the recovery model are models of care which incorporate user involvement and patients' perspectives on their treatment and care. The aims of this paper are to examine these different care models and their association with user involvement in the mental health context and discuss some of the challenges associated with their implementation. The sources used are health policy documents and published literature and research on patient-centered care, shared decision-making, patient participation and recovery. The policy documents advocate that mental health services should be oriented towards patients' or users' needs, participation and involvement. These policies also emphasize recovery and integration of people with mental disorders in the community. However, these collaborative care models have generally been subject to limited empirical research about effectiveness. There are also challenges to implementation of the models in inpatient care. What evidence there is indicates tensions between patients' and providers' perspectives on treatment and care. There are issues related to risk and the person's capacity for user involvement, and concerns about what role patients themselves wish to play in decision-making. Lack of competence and awareness among providers are further issues. Further work on training, evaluation and implementation is needed to ensure that inpatient mental health services are adapting user oriented care models at all levels of services.

  8. Distance Education Strategy: Mental Models and Strategic Choices

    ERIC Educational Resources Information Center

    Adams, John C.; Seagren, Alan T.

    2004-01-01

    What issues do distance education (DE) leaders believe will influence the future of DE? What are their colleges' DE strategies? This qualitative study compares DE strategic thinking and strategic choices at three community colleges. Two propositions are investigated: (1) each college's DE leaders use common strategic mental models (ways of…

  9. TEMPO: a contemporary model for police education and training about mental illness.

    PubMed

    Coleman, Terry; Cotton, Dorothy

    2014-01-01

    Given the increasing number of interactions between police and people with mental illnesses (PMI), there has been widespread interest in the development of education for police about how best to interact with PMI. This paper reflects the review of current practice in a variety of jurisdictions across Canada as well as in the United States (U.S.), the United Kingdom (U.K.) and Australia; it proposes a comprehensive model of learning based on the literature that addresses not only the content in the narrow sense but also the importance of broader contextual knowledge and understanding in developing effective education and training. Embedded in the principles articulated in the Mental Health Strategy for Canada, the TEMPO (Training and Education about Mental illness for Police Organizations) model is a multilevel learning strategy for Canadian police personnel. Learning objectives and key principles are articulated in order to ensure the model is applicable to a wide range of police agencies and individual jurisdictional needs. In addition to providing a firm basis of factual knowledge for police personnel, the resultant model embraces a human rights/anti-stigma philosophy, provides for a range of education appropriate to diverse police audiences, emphasizes a systems approach to police/mental health liaison activities and addresses issues related to the delivery and implementation of police education and training. Copyright © 2014. Published by Elsevier Ltd.

  10. Looking beyond Psychopathology: The Dual-Factor Model of Mental Health in Youth

    ERIC Educational Resources Information Center

    Suldo, Shannon M.; Shaffer, Emily J.

    2008-01-01

    In a dual-factor model of mental health (cf. Greenspoon & Saklofske, 2001), assessments of positive indicators of wellness (i.e., subjective well-being--SWB) are coupled with traditional negative indicators of illness (i.e., psychopathology) to comprehensively measure mental health. The current study examined the existence and utility of a…

  11. Towards Accurate Modelling of Galaxy Clustering on Small Scales: Testing the Standard ΛCDM + Halo Model

    NASA Astrophysics Data System (ADS)

    Sinha, Manodeep; Berlind, Andreas A.; McBride, Cameron K.; Scoccimarro, Roman; Piscionere, Jennifer A.; Wibking, Benjamin D.

    2018-04-01

    Interpreting the small-scale clustering of galaxies with halo models can elucidate the connection between galaxies and dark matter halos. Unfortunately, the modelling is typically not sufficiently accurate for ruling out models statistically. It is thus difficult to use the information encoded in small scales to test cosmological models or probe subtle features of the galaxy-halo connection. In this paper, we attempt to push halo modelling into the "accurate" regime with a fully numerical mock-based methodology and careful treatment of statistical and systematic errors. With our forward-modelling approach, we can incorporate clustering statistics beyond the traditional two-point statistics. We use this modelling methodology to test the standard ΛCDM + halo model against the clustering of SDSS DR7 galaxies. Specifically, we use the projected correlation function, group multiplicity function and galaxy number density as constraints. We find that while the model fits each statistic separately, it struggles to fit them simultaneously. Adding group statistics leads to a more stringent test of the model and significantly tighter constraints on model parameters. We explore the impact of varying the adopted halo definition and cosmological model and find that changing the cosmology makes a significant difference. The most successful model we tried (Planck cosmology with Mvir halos) matches the clustering of low luminosity galaxies, but exhibits a 2.3σ tension with the clustering of luminous galaxies, thus providing evidence that the "standard" halo model needs to be extended. This work opens the door to adding interesting freedom to the halo model and including additional clustering statistics as constraints.

  12. Perceived Drivers and Barriers to the Adoption of eMental Health by Psychologists: The Construction of the Levels of Adoption of eMental Health Model.

    PubMed

    Feijt, Milou A; de Kort, Yvonne Aw; Bongers, Inge Mb; IJsselsteijn, Wijnand A

    2018-04-24

    The internet offers major opportunities in supporting mental health care, and a variety of technology-mediated mental and behavioral health services have been developed. Yet, despite growing evidence for the effectiveness of these services, their acceptance and use in clinical practice remains low. So far, the current literature still lacks a structured insight into the experienced drivers and barriers to the adoption of electronic mental health (eMental health) from the perspective of clinical psychologists. The aim of this study was to gain an in-depth and comprehensive understanding of the drivers and barriers for psychologists in adopting eMental health tools, adding to previous work by also assessing drivers and analyzing relationships among these factors, and subsequently by developing a structured representation of the obtained findings. The study adopted a qualitative descriptive approach consisting of in-depth semistructured interviews with clinical psychologists working in the Netherlands (N=12). On the basis of the findings, a model was constructed that was then examined through a communicative validation. In general, a key driver for psychologists to adopt eMental health is the belief and experience that it can be beneficial to them or their clients. Perceived advantages that are novel to literature include the acceleration of the treatment process, increased intimacy of the therapeutic relationship, and new treatment possibilities due to eMental health. More importantly, a relation was found between the extent to which psychologists have adopted eMental health and the particular drivers and barriers they experience. This differentiation is incorporated in the Levels of Adoption of eMental Health (LAMH) model that was developed during this study to provide a structured representation of the factors that influence the adoption of eMental health. The study identified both barriers and drivers, several of which are new to the literature and found a

  13. 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.

  14. A gender-informed model to train community health workers in maternal mental health.

    PubMed

    Smith, Megan V; Kruse-Austin, Anna

    2015-08-01

    The New Haven Mental Health Outreach for MotherS (MOMS) Partnership is a community-academic partnership that works to develop public health approaches to ensure that pregnant and parenting women living in the City of New Haven achieve the highest possible level of mental health. The MOMS Partnership developed a training model for community health workers specializing in maternal mental health. Six community health workers (termed Community Mental Health Ambassadors or CMHAs) were trained on key topics in this gender-informed maternal mental health curriculum. Pre- and post-test questionnaires assessed changes in attitudes, perceived self-efficacy and control using standardized scales. The results indicated preliminary acceptability of the training curriculum in transforming knowledge and attitudes about maternal mental health among community health workers. Copyright © 2014. Published by Elsevier Ltd.

  15. Accurate modeling of high-repetition rate ultrashort pulse amplification in optical fibers

    PubMed Central

    Lindberg, Robert; Zeil, Peter; Malmström, Mikael; Laurell, Fredrik; Pasiskevicius, Valdas

    2016-01-01

    A numerical model for amplification of ultrashort pulses with high repetition rates in fiber amplifiers is presented. The pulse propagation is modeled by jointly solving the steady-state rate equations and the generalized nonlinear Schrödinger equation, which allows accurate treatment of nonlinear and dispersive effects whilst considering arbitrary spatial and spectral gain dependencies. Comparison of data acquired by using the developed model and experimental results prove to be in good agreement. PMID:27713496

  16. Exploring the Characteristics and Diverse Sources of Students' Mental Models of Acids and Bases

    ERIC Educational Resources Information Center

    Lin, Jing-Wen; Chiu, Mei-Hung

    2007-01-01

    This study was part of a 6-year integrated project designed to build a databank of students' science conceptions in Taiwan. The main purpose of this study was to identify the characteristics of students' mental models regarding acids/bases, understand their changes in mental models, and explore sources that might influence students in constructing…

  17. The importance of spatial ability and mental models in learning anatomy

    NASA Astrophysics Data System (ADS)

    Chatterjee, Allison K.

    As a foundational course in medical education, gross anatomy serves to orient medical and veterinary students to the complex three-dimensional nature of the structures within the body. Understanding such spatial relationships is both fundamental and crucial for achievement in gross anatomy courses, and is essential for success as a practicing professional. Many things contribute to learning spatial relationships; this project focuses on a few key elements: (1) the type of multimedia resources, particularly computer-aided instructional (CAI) resources, medical students used to study and learn; (2) the influence of spatial ability on medical and veterinary students' gross anatomy grades and their mental models; and (3) how medical and veterinary students think about anatomy and describe the features of their mental models to represent what they know about anatomical structures. The use of computer-aided instruction (CAI) by gross anatomy students at Indiana University School of Medicine (IUSM) was assessed through a questionnaire distributed to the regional centers of the IUSM. Students reported using internet browsing, PowerPoint presentation software, and email on a daily bases to study gross anatomy. This study reveals that first-year medical students at the IUSM make limited use of CAI to study gross anatomy. Such studies emphasize the importance of examining students' use of CAI to study gross anatomy prior to development and integration of electronic media into the curriculum and they may be important in future decisions regarding the development of alternative learning resources. In order to determine how students think about anatomical relationships and describe the features of their mental models, personal interviews were conducted with select students based on students' ROT scores. Five typologies of the characteristics of students' mental models were identified and described: spatial thinking, kinesthetic approach, identification of anatomical structures

  18. Accurate modeling and evaluation of microstructures in complex materials

    NASA Astrophysics Data System (ADS)

    Tahmasebi, Pejman

    2018-02-01

    Accurate characterization of heterogeneous materials is of great importance for different fields of science and engineering. Such a goal can be achieved through imaging. Acquiring three- or two-dimensional images under different conditions is not, however, always plausible. On the other hand, accurate characterization of complex and multiphase materials requires various digital images (I) under different conditions. An ensemble method is presented that can take one single (or a set of) I(s) and stochastically produce several similar models of the given disordered material. The method is based on a successive calculating of a conditional probability by which the initial stochastic models are produced. Then, a graph formulation is utilized for removing unrealistic structures. A distance transform function for the Is with highly connected microstructure and long-range features is considered which results in a new I that is more informative. Reproduction of the I is also considered through a histogram matching approach in an iterative framework. Such an iterative algorithm avoids reproduction of unrealistic structures. Furthermore, a multiscale approach, based on pyramid representation of the large Is, is presented that can produce materials with millions of pixels in a matter of seconds. Finally, the nonstationary systems—those for which the distribution of data varies spatially—are studied using two different methods. The method is tested on several complex and large examples of microstructures. The produced results are all in excellent agreement with the utilized Is and the similarities are quantified using various correlation functions.

  19. Towards accurate modelling of galaxy clustering on small scales: testing the standard ΛCDM + halo model

    NASA Astrophysics Data System (ADS)

    Sinha, Manodeep; Berlind, Andreas A.; McBride, Cameron K.; Scoccimarro, Roman; Piscionere, Jennifer A.; Wibking, Benjamin D.

    2018-07-01

    Interpreting the small-scale clustering of galaxies with halo models can elucidate the connection between galaxies and dark matter haloes. Unfortunately, the modelling is typically not sufficiently accurate for ruling out models statistically. It is thus difficult to use the information encoded in small scales to test cosmological models or probe subtle features of the galaxy-halo connection. In this paper, we attempt to push halo modelling into the `accurate' regime with a fully numerical mock-based methodology and careful treatment of statistical and systematic errors. With our forward-modelling approach, we can incorporate clustering statistics beyond the traditional two-point statistics. We use this modelling methodology to test the standard Λ cold dark matter (ΛCDM) + halo model against the clustering of Sloan Digital Sky Survey (SDSS) seventh data release (DR7) galaxies. Specifically, we use the projected correlation function, group multiplicity function, and galaxy number density as constraints. We find that while the model fits each statistic separately, it struggles to fit them simultaneously. Adding group statistics leads to a more stringent test of the model and significantly tighter constraints on model parameters. We explore the impact of varying the adopted halo definition and cosmological model and find that changing the cosmology makes a significant difference. The most successful model we tried (Planck cosmology with Mvir haloes) matches the clustering of low-luminosity galaxies, but exhibits a 2.3σ tension with the clustering of luminous galaxies, thus providing evidence that the `standard' halo model needs to be extended. This work opens the door to adding interesting freedom to the halo model and including additional clustering statistics as constraints.

  20. Mental health professional experiences of the flexible assertive community treatment model: a grounded theory study.

    PubMed

    Lexén, Annika; Svensson, Bengt

    2016-08-01

    Despite the lack of evidence for effectiveness of the Flexible Assertive Community Treatment (Flexible ACT), the model is considered feasible and is well received by mental health professionals. No current studies have adequately examined mental health professional experiences of working with Flexible ACT. The aim of this study was to explore mental health professional experiences of working with the Flexible ACT model compared with standard care. The study was guided by grounded theory and based on the interviews with 19 theoretically chosen mental health professionals in Swedish urban areas primarily working with consumers with psychosis, who had worked with the Flexible ACT model for at least 6 months. The analysis resulted in the core category: "Flexible ACT and the shared caseload create a common action space" and three main categories: (1) "Flexible ACT fills the need for a systematic approach to crisis intervention"; (2) "Flexible ACT has advantages in the psychosocial working environment"; and (3) "Flexible ACT increases the quality of care". Mental health professionals may benefit from working with the Flexible ACT model through decreased job-strain and stress, increased feeling of being in control over their work situation, and experiences of providing higher quality of care.

  1. A multiscale red blood cell model with accurate mechanics, rheology, and dynamics.

    PubMed

    Fedosov, Dmitry A; Caswell, Bruce; Karniadakis, George Em

    2010-05-19

    Red blood cells (RBCs) have highly deformable viscoelastic membranes exhibiting complex rheological response and rich hydrodynamic behavior governed by special elastic and bending properties and by the external/internal fluid and membrane viscosities. We present a multiscale RBC model that is able to predict RBC mechanics, rheology, and dynamics in agreement with experiments. Based on an analytic theory, the modeled membrane properties can be uniquely related to the experimentally established RBC macroscopic properties without any adjustment of parameters. The RBC linear and nonlinear elastic deformations match those obtained in optical-tweezers experiments. The rheological properties of the membrane are compared with those obtained in optical magnetic twisting cytometry, membrane thermal fluctuations, and creep followed by cell recovery. The dynamics of RBCs in shear and Poiseuille flows is tested against experiments and theoretical predictions, and the applicability of the latter is discussed. Our findings clearly indicate that a purely elastic model for the membrane cannot accurately represent the RBC's rheological properties and its dynamics, and therefore accurate modeling of a viscoelastic membrane is necessary. Copyright 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

  2. Comprehensive School Mental Health: An Integrated "School-Based Pathway to Care" Model for Canadian Secondary Schools

    ERIC Educational Resources Information Center

    Wei, Yifeng; Kutcher, Stan; Szumilas, Magdalena

    2011-01-01

    Adolescence is a critical period for the promotion of mental health and the treatment of mental disorders. Schools are well-positioned to address adolescent mental health. This paper describes a school mental health model, "School-Based Pathway to Care," for Canadian secondary schools that links schools with primary care providers and…

  3. Do great teams think alike? An examination of team mental models and their impact on team performance.

    PubMed

    Gardner, Aimee K; Scott, Daniel J; AbdelFattah, Kareem R

    2017-05-01

    Team mental models represent the shared understanding of team members within their relevant environment. Thus, team mental models should have a substantial impact on a team's ability to engage in purposeful and coordinated action. We sought to examine the impact of shared team mental models on team performance and to investigate if team mental models increase over time as teams continue to work together. New surgery interns were assigned randomly to 1 of 10 teams. Each team participated in one unique simulation every day for 5 days, each followed by video-based debriefing with a facilitator. Participants also completed independently a concept similarity tool validated previously in nonmedical team literature to assess team mental models. All performances were video recorded and evaluated with a scenario-specific team performance tool by a single, blinded junior surgeon under an institutional review board-approved protocol. Changes in performance and team mental models over time were assessed with paired samples t tests. Regression analysis was used to examine the extent to which team mental models predicted team performance. Thirty interns (age 27; 77% men) participated in the training program. Percentage of items achieved (x¯ ± SD) on the performance evaluation was 39 ± 20, 51 ± 14, 22 ± 17, 63 ± 14, and 77 ± 25 for Days 1-5, respectively. Team mental models were 30 ± 5, 28 ± 6, 27 ± 8, 26 ± 7, and 25 ± 6 for Days 1-5 respectively, such that larger values corresponded to greater differences in team mental models. Paired sample t tests indicated that both average performance and team mental models similarity improved from the first to last day (P < .01, P < .05, respectively). Additionally, regression analyses indicated that team mental models predicted team performance on Days 2-5 (all P < .05) but not on the first day of simulations. These results demonstrate that greater sharing of team mental models among the teams leads

  4. Creating Shared Mental Models: The Support of Visual Language

    NASA Astrophysics Data System (ADS)

    Landman, Renske B.; van den Broek, Egon L.; Gieskes, José F. B.

    Cooperative design involves multiple stakeholders that often hold different ideas of the problem, the ways to solve it, and to its solutions (i.e., mental models; MM). These differences can result in miscommunication, misunderstanding, slower decision making processes, and less chance on cooperative decisions. In order to facilitate the creation of a shared mental model (sMM), visual languages (VL) are often used. However, little scientific foundation is behind this choice. To determine whether or not this gut feeling is justified, a research was conducted in which various stakeholders had to cooperatively redesign a process chain, with and without VL. To determine whether or not a sMM was created, scores on agreement in individual MM, communication, and cooperation were analyzed. The results confirmed the assumption that VL can indeed play an important role in the creation of sMM and, hence, can aid the processes of cooperative design and engineering.

  5. Some implications of a community mental health model for developing countries.

    PubMed

    Mehryar, A; Khajavi, F

    The aim of this paper is to call attention to certain problems facing many developing countries which are bound to lead to further difficulties in psychosocial adjustment. Almost all these problems are inherent in the process of socioeconomic change, urbanization, and industrialization. These changes may not only lead to an increase in the rate of mental illness, but because of their impact on the basic family structure and living conditions, will result in a reduced tolerance of deviation on the part of the community. Moreover, the spread of public education and mass media is also likely to lead to a change in the expectations and attitudes of developing nations making it no longer possible to endure psychological suffering as part of one's destiny. Even the improvement of public health services leading to reduction of infant mortality and a rise in life expectancy may lead to a gross increase in demands for mental health services by the very young and the aged sections of the population. It is the contention of this paper that a community mental health model, with certain modifications to fit the local culture, will best serve the increasing mental health needs of developing nations. Of particular relevance are such aspects of the model as population and prevention orientation, community involvement, extension of prefessional resources through consultation, utilization of non-professional manpower, continuity and comprehensiveness of care as well as an open systems conceptualization of the whole process of the organization and delivery of mental health services. The latter approach will help bring about an integration of mental health services within the wider framework of human service agencies, e.g., public health, general and adult education, family planning, and community development.

  6. Accurate Energy Consumption Modeling of IEEE 802.15.4e TSCH Using Dual-BandOpenMote Hardware.

    PubMed

    Daneels, Glenn; Municio, Esteban; Van de Velde, Bruno; Ergeerts, Glenn; Weyn, Maarten; Latré, Steven; Famaey, Jeroen

    2018-02-02

    The Time-Slotted Channel Hopping (TSCH) mode of the IEEE 802.15.4e amendment aims to improve reliability and energy efficiency in industrial and other challenging Internet-of-Things (IoT) environments. This paper presents an accurate and up-to-date energy consumption model for devices using this IEEE 802.15.4e TSCH mode. The model identifies all network-related CPU and radio state changes, thus providing a precise representation of the device behavior and an accurate prediction of its energy consumption. Moreover, energy measurements were performed with a dual-band OpenMote device, running the OpenWSN firmware. This allows the model to be used for devices using 2.4 GHz, as well as 868 MHz. Using these measurements, several network simulations were conducted to observe the TSCH energy consumption effects in end-to-end communication for both frequency bands. Experimental verification of the model shows that it accurately models the consumption for all possible packet sizes and that the calculated consumption on average differs less than 3% from the measured consumption. This deviation includes measurement inaccuracies and the variations of the guard time. As such, the proposed model is very suitable for accurate energy consumption modeling of TSCH networks.

  7. Accurate Energy Consumption Modeling of IEEE 802.15.4e TSCH Using Dual-BandOpenMote Hardware

    PubMed Central

    Municio, Esteban; Van de Velde, Bruno; Latré, Steven

    2018-01-01

    The Time-Slotted Channel Hopping (TSCH) mode of the IEEE 802.15.4e amendment aims to improve reliability and energy efficiency in industrial and other challenging Internet-of-Things (IoT) environments. This paper presents an accurate and up-to-date energy consumption model for devices using this IEEE 802.15.4e TSCH mode. The model identifies all network-related CPU and radio state changes, thus providing a precise representation of the device behavior and an accurate prediction of its energy consumption. Moreover, energy measurements were performed with a dual-band OpenMote device, running the OpenWSN firmware. This allows the model to be used for devices using 2.4 GHz, as well as 868 MHz. Using these measurements, several network simulations were conducted to observe the TSCH energy consumption effects in end-to-end communication for both frequency bands. Experimental verification of the model shows that it accurately models the consumption for all possible packet sizes and that the calculated consumption on average differs less than 3% from the measured consumption. This deviation includes measurement inaccuracies and the variations of the guard time. As such, the proposed model is very suitable for accurate energy consumption modeling of TSCH networks. PMID:29393900

  8. Do I Have to Learn Something New? Mental Models and the Acceptance of Replacement Technologies

    ERIC Educational Resources Information Center

    Zhang, Wei; Xu, Peng

    2011-01-01

    Few studies in technology acceptance have explicitly addressed the acceptance of replacement technologies, technologies that replace legacy ones that have been in use. This article explores this issue through the theoretical lens of mental models. We contend that accepting replacement technologies entails both mental model maintenance and mental…

  9. Mentalization-based treatment for psychosis: linking an attachment-based model to the psychotherapy for impaired mental state understanding in people with psychotic disorders.

    PubMed

    Brent, Benjamin K; Holt, Daphne J; Keshavan, Matcheri S; Seidman, Larry J; Fonagy, Peter

    2014-01-01

    Disturbances of mentalization have been increasingly associated with the symptoms and functional impairment of people with psychotic disorders. it has been proposed that psychotherapy designed to foster self and other understanding, such as mentalization-based treatment (mBt), may play an important part in facilitating recovery from psychosis. Here, we present an attachment-based understanding of mentalization impairments. We then outline a neuropsychological model that links disruptions of mentalization associated with disturbances in the caregiving environment to the pathophysiology of psychosis in genetically at-risk individuals. this is followed by an illustration of some of the core mBt techniques for the rehabilitation of the capacity to mentalize as applied to the treatment of a patient with a psychotic disorder.

  10. A cognitive approach to game usability and design: mental model development in novice real-time strategy gamers.

    PubMed

    Graham, John; Zheng, Liya; Gonzalez, Cleotilde

    2006-06-01

    We developed a technique to observe and characterize a novice real-time-strategy (RTS) player's mental model as it shifts with experience. We then tested this technique using an off-the-shelf RTS game, EA Games Generals. Norman defined mental models as, "an internal representation of a target system that provides predictive and explanatory power to the operator." In the case of RTS games, the operator is the player and the target system is expressed by the relationships within the game. We studied five novice participants in laboratory-controlled conditions playing a RTS game. They played Command and Conquer Generals for 2 h per day over the course of 5 days. A mental model analysis was generated using player dissimilarity-ratings of the game's artificial intelligence (AI) agents analyzed using multidimensional scaling (MDS) statistical methods. We hypothesized that novices would begin with an impoverished model based on the visible physical characteristics of the game system. As they gained experience and insight, their mental models would shift and accommodate the functional characteristics of the AI agents. We found that all five of the novice participants began with the predicted physical-based mental model. However, while their models did qualitatively shift with experience, they did not necessarily change to the predicted functional-based model. This research presents an opportunity for the design of games that are guided by shifts in a player's mental model as opposed to the typical progression through successive performance levels.

  11. Representational Translation with Concrete Models in Organic Chemistry

    ERIC Educational Resources Information Center

    Stull, Andrew T.; Hegarty, Mary; Dixon, Bonnie; Stieff, Mike

    2012-01-01

    In representation-rich domains such as organic chemistry, students must be facile and accurate when translating between different 2D representations, such as diagrams. We hypothesized that translating between organic chemistry diagrams would be more accurate when concrete models were used because difficult mental processes could be augmented by…

  12. Assessing mental health and violence on college campuses using the vulnerability model.

    PubMed

    Ponsford, Lisa R

    2016-04-01

    Violence on college campuses has become increasingly more common than in previous years. Nearly 73% of students with a mental health condition living on campus experience a mental health crisis. College students arriving on campuses today come with different needs, expectations for services, and with different risk factors than in previous years. Advanced practice registered nurses (APRNs) in college health settings have the ability to recognize these changing trends and assist with improving the mental health of this population. A critical analysis of an exemplar college campus is explored using the vulnerability model to assess risks that can lead to unnecessary and preventable violence on college campuses. The vulnerability model is a comprehensive approach utilized to guide an assessment to identify both individual and community risk factors influencing health and healthcare environments. The use of the vulnerability model illustrated in this article reveals its usefulness in identifying the risk and needs for this population. APRNs and student health centers are positioned well to utilize the vulnerability model in assessing the needs of college campuses to improve outcomes of students. ©2016 American Association of Nurse Practitioners.

  13. Simple Mathematical Models Do Not Accurately Predict Early SIV Dynamics

    PubMed Central

    Noecker, Cecilia; Schaefer, Krista; Zaccheo, Kelly; Yang, Yiding; Day, Judy; Ganusov, Vitaly V.

    2015-01-01

    Upon infection of a new host, human immunodeficiency virus (HIV) replicates in the mucosal tissues and is generally undetectable in circulation for 1–2 weeks post-infection. Several interventions against HIV including vaccines and antiretroviral prophylaxis target virus replication at this earliest stage of infection. Mathematical models have been used to understand how HIV spreads from mucosal tissues systemically and what impact vaccination and/or antiretroviral prophylaxis has on viral eradication. Because predictions of such models have been rarely compared to experimental data, it remains unclear which processes included in these models are critical for predicting early HIV dynamics. Here we modified the “standard” mathematical model of HIV infection to include two populations of infected cells: cells that are actively producing the virus and cells that are transitioning into virus production mode. We evaluated the effects of several poorly known parameters on infection outcomes in this model and compared model predictions to experimental data on infection of non-human primates with variable doses of simian immunodifficiency virus (SIV). First, we found that the mode of virus production by infected cells (budding vs. bursting) has a minimal impact on the early virus dynamics for a wide range of model parameters, as long as the parameters are constrained to provide the observed rate of SIV load increase in the blood of infected animals. Interestingly and in contrast with previous results, we found that the bursting mode of virus production generally results in a higher probability of viral extinction than the budding mode of virus production. Second, this mathematical model was not able to accurately describe the change in experimentally determined probability of host infection with increasing viral doses. Third and finally, the model was also unable to accurately explain the decline in the time to virus detection with increasing viral dose. These results

  14. Accurate Cold-Test Model of Helical TWT Slow-Wave Circuits

    NASA Technical Reports Server (NTRS)

    Kory, Carol L.; Dayton, James A., Jr.

    1997-01-01

    Recently, a method has been established to accurately calculate cold-test data for helical slow-wave structures using the three-dimensional electromagnetic computer code, MAFIA. Cold-test parameters have been calculated for several helical traveling-wave tube (TWT) slow-wave circuits possessing various support rod configurations, and results are presented here showing excellent agreement with experiment. The helical models include tape thickness, dielectric support shapes and material properties consistent with the actual circuits. The cold-test data from this helical model can be used as input into large-signal helical TWT interaction codes making it possible, for the first time, to design a complete TWT via computer simulation.

  15. Overcoming Barriers to Rural Children's Mental Health: An Interconnected Systems Public Health Model

    ERIC Educational Resources Information Center

    Huber, Brenda J.; Austen, Julie M.; Tobin, Renée M.; Meyers, Adena B.; Shelvin, Kristal H.; Wells, Michael

    2016-01-01

    A large, Midwestern county implemented a four-tiered public health model of children's mental health with an interconnected systems approach involving education, health care, juvenile justice and community mental health sectors. The community sought to promote protective factors in the lives of all youth, while improving the capacity,…

  16. Modeling life course pathways from adverse childhood experiences to adult mental health.

    PubMed

    Jones, Tiffany M; Nurius, Paula; Song, Chiho; Fleming, Christopher M

    2018-06-01

    Although the association between adverse childhood experiences (ACEs) and adult mental health is becoming well established, less is known about the complex and multiple pathways through which ACEs exert their influence. Growing evidence suggests that adversity early in life conveys not only early impacts, but also augments risk of stress-related life course cascades that continue to undermine health. The present study aims to test pathways of stress proliferation and stress embodiment processes linking ACEs to mental health impairment in adulthood. Data are from the 2011 Behavioral Risk Factor Surveillance Survey, a representative sample of Washington State adults ages 18 and over (N = 14,001). Structural equation modeling allowed for testing of direct and indirect effects from ACEs though low income status, experiences of adversity in adulthood, and social support. The model demonstrated that adult low income, social support and adult adversity are in fact conduits through which ACEs exert their influence on mental health impairment in adulthood. Significant indirect pathways through these variables supported hypotheses that the effect of ACEs is carried through these variables. This is among the first models that demonstrates multiple stress-related life course pathways through which early life adversity compromises adult mental health. Discussion elaborates multiple service system opportunities for intervention in early and later life to interrupt direct and indirect pathways of ACE effects. Copyright © 2018 Elsevier Ltd. All rights reserved.

  17. Nurse assistant mental models, sensemaking, care actions, and consequences for nursing home residents.

    PubMed

    Anderson, Ruth A; Ammarell, Natalie; Bailey, Donald; Colón-Emeric, Cathleen; Corazzini, Kirsten N; Lillie, Melissa; Piven, Mary Lynn Scotton; Utley-Smith, Queen; McDaniel, Reuben R

    2005-10-01

    In a nursing home case study using observation and interview data, the authors described two mental models that guided certified nurse assistants (CNAs) in resident care. The Golden Rule guided CNAs to respond to residents as they would want someone to do for them. Mother wit guided CNAs to treat residents as they would treat their own children. These mental models engendered self-control and affection but also led to actions such as infantilization and misinterpretations about potentially undiagnosed conditions such as depression or pain. Furthermore, the authors found that CNAs were isolated from clinicians; little resident information was exchanged. They suggest ways to alter CNA mental models to give them a better basis for action and strategies for connecting CNAs and clinical professionals to improve information flow about residents. Study results highlight a critical need for registered nurses (RNs) to be involved in frontline care.

  18. Foundation Care: A Treatment Model for Nonambulatory Profoundly Mentally Retarded Persons.

    ERIC Educational Resources Information Center

    LaMendola, Walter F.; And Others

    1987-01-01

    Two institutional treatment models--Intermediate Care Facilities and Foundation Care--were compared with 30 profoundly mentally retarded adults. The Foundation Care model (which emphasized habilitation through health, nurturance, stimulation, and play) demonstrated more resident-oriented management practices and used more tactile modalities and…

  19. Mental health, sleep quality, drinking motives, and alcohol-related consequences: a path-analytic model.

    PubMed

    Kenney, Shannon R; Lac, Andrew; Labrie, Joseph W; Hummer, Justin F; Pham, Andy

    2013-11-01

    Poor mental health, sleep problems, drinking motivations, and high-risk drinking are prevalent among college students. However, research designed to explicate the interrelationships among these health risk behaviors is lacking. This study was designed to assess the direct and indirect influences of poor mental health (a latent factor consisting of depression, anxiety, and stress) to alcohol use and alcohol-related consequences through the mediators of global sleep quality and drinking motives in a comprehensive model. Participants were 1,044 heavy-drinking college students (66.3% female) who completed online surveys. A hybrid structural equation model tested hypotheses involving relations leading from poor mental health to drinking motives and poorer global sleep quality to drinking outcomes. Results showed that poor mental health significantly predicted all four subscales of drinking motivations (social, coping, conformity, and enhancement) as well as poor sleep. Most of the drinking motives and poor sleep were found to explain alcohol use and negative alcohol consequences. Poor sleep predicted alcohol consequences, even after controlling for all other variables in the model. The hypothesized mediational pathways were examined with tests of indirect effects. This is the first study to assess concomitantly the relationships among three vital health-related domains (mental health, sleep behavior, and alcohol risk) in college students. Findings offer important implications for college personnel and interventionists interested in reducing alcohol risk by focusing on alleviating mental health problems and poor sleep quality.

  20. Locating the Social Origins of Mental Illness: The Explanatory Models of Mental Illness Among Clergy from Different Ethnic and Faith Backgrounds.

    PubMed

    Leavey, Gerard; Loewenthal, Kate; King, Michael

    2016-10-01

    Clergy have historically provided 'healing' through various spiritual and medical modalities and even in modern, developed welfare economies they may still be an important help-seeking resource. Partnerships between religion and psychiatry are regularly advocated, but there is scant research on clergy explanatory models of illness. This paper aimed to explore their relationship with psychiatry and to examine how clergy in various faith groups conceptualised mental health problems. In this qualitative study using in-depth interviews, these issues were explored with 32 practising clergy in the UK from a range of different Christian, Muslim and Jewish faith organisations and ethnic backgrounds. This paper presents findings related to clergy explanatory models of mental illness and, in particular, how the social factors involved in causation are tinged with spiritual influences and implications, and how the meanings of mental distress assume a social and moral significance in distinctive localised matters.

  1. Generating Facial Expressions Using an Anatomically Accurate Biomechanical Model.

    PubMed

    Wu, Tim; Hung, Alice; Mithraratne, Kumar

    2014-11-01

    This paper presents a computational framework for modelling the biomechanics of human facial expressions. A detailed high-order (Cubic-Hermite) finite element model of the human head was constructed using anatomical data segmented from magnetic resonance images. The model includes a superficial soft-tissue continuum consisting of skin, the subcutaneous layer and the superficial Musculo-Aponeurotic system. Embedded within this continuum mesh, are 20 pairs of facial muscles which drive facial expressions. These muscles were treated as transversely-isotropic and their anatomical geometries and fibre orientations were accurately depicted. In order to capture the relative composition of muscles and fat, material heterogeneity was also introduced into the model. Complex contact interactions between the lips, eyelids, and between superficial soft tissue continuum and deep rigid skeletal bones were also computed. In addition, this paper investigates the impact of incorporating material heterogeneity and contact interactions, which are often neglected in similar studies. Four facial expressions were simulated using the developed model and the results were compared with surface data obtained from a 3D structured-light scanner. Predicted expressions showed good agreement with the experimental data.

  2. Trends in newspaper coverage of mental illness in Canada: 2005-2010.

    PubMed

    Whitley, Rob; Berry, Sarah

    2013-02-01

    Much research suggests that the general public relies on the popular media as a primary source of information about mental illness. We assessed the broad content of articles relating to mental illness in major Canadian newspapers over a 6-year period. We also sought to assess if such content has changed over time. We conducted a retrospective analysis of Canadian newspaper coverage from 2005 to 2010. Research assistants used a standardized guide to code 11 263 newspaper articles that mention the terms mental health, mental illness, schizophrenia, or schizophrenic. Once the articles were coded, descriptive statistics were produced for overarching themes and time trend analyses from 2005 to 2010. Danger, violence, and criminality were direct themes in 40% of newspaper articles. Treatment for a mental illness was discussed in only 19% of newspaper articles, and in only 18% was recovery or rehabilitation a significant theme. Eighty-three per cent of articles coded lacked a quotation from someone with a mental illness. We did not observe any significant changes over time from 2005 to 2010 in any domain measured. There is scope for more balanced, accurate, and informative coverage of mental health issues in Canada. Newspaper articles infrequently reflect the common realities of mental illness phenomenology, course, and outcome. Currently, clinicians may direct patients and family members to other resources for more comprehensive and accurate information about mental illness.

  3. Pattern of students' conceptual change on magnetic field based on students' mental models

    NASA Astrophysics Data System (ADS)

    Hamid, Rimba; Widodo, Ari; Sopandi, Wahyu

    2017-05-01

    Students understanding about natural phenomena can be identified by analyzing their mental model. Changes in students' mental model are good indicator of students' conceptual change. This research aims at identifying students' conceptual change by analyzing changes in students' mental model. Participants of the study were twenty five elementary school students. Data were collected through throughout the lessons (prior to the lessons, during the lessons and after the lessons) based on students' written responses and individual interviews. Lessons were designed to facilitate students' conceptual change by allowing students to work in groups of students who have the similar ideas. Therefore, lessons were students-directed. Changes of students' ideas in every stage of the lessons were identified and analyzed. The results showed that there are three patterns of students' mental models, namely type of scientific (44%), analogous to everyday life (52%), and intuitive (4%). Further analyses of the pattern of their conceptual change identifies four different patterns, i.e. consistently correct (20%), consistently incomplete (16%), changing from incorrect to incomplete (8%), changing from incomplete to complete (32%), changing from complete to incorrect (4%), and changing from incorrect to complete (4%). This study suggest that the process of learning science does not move in a linear and progressive ways, rather they move in random and may move backward and forward.

  4. Mediating effects of emotional exhaustion on the relationship between job demand–control model and mental health.

    PubMed

    Huang, Yu-Hwa; Du, Pey-Ian; Chen, Chin-Hui; Yang, Chin-Ann; Huang, Ing-Chung

    2011-04-01

    This study attempted to investigate the role of emotional exhaustion as a mediator on the relationship between job demands-control (JDC) model and mental health. Three-wave data from 297 employees were collected. The results showed that job demands were positively related to emotional exhaustion, and increasing job demands will increase the level of emotional exhaustion. Job control was negatively associated with emotional exhaustion; therefore, increasing job control will decrease the level of emotional exhaustion. Emotional exhaustion was negatively related to mental health. Emotional exhaustion fully mediated the relationship between job demands and mental health, and partially mediated the positive relationship between job control and mental health. In addition, job control was positively associated with mental health directly. The remarkable finding of the present study was that emotional exhaustion served as the key mediator between the JDC model and mental health. Theoretical and managerial implications and limitations were discussed.

  5. Longitudinal Study of a Dual-Factor Model of Mental Health in Chinese Youth

    ERIC Educational Resources Information Center

    Xiong, Junmei; Qin, Yi; Gao, Miaomiao; Hai, Man

    2017-01-01

    By incorporating psychopathology and subjective well-being (SWB), the dual-factor model of mental health (DFM) can comprehensively measure psychological health. We examined the utility of the DFM among 1,293 Chinese adolescents (Grades 7-12). Furthermore, we examined the dynamics of mental health group membership via a two-wave longitudinal study…

  6. Dangerousness and mental health policy.

    PubMed

    Hewitt, J L

    2008-04-01

    Mental health policy development in the UK has become increasingly dominated by the assumed need to prevent violence and alleviate public concerns about the dangers of the mentally ill living in the community. Risk management has become the expected focus of contemporary mental health services, and responsibility has increasingly been devolved to individual service professionals when systems fail to prevent violence. This paper analyses the development of mental health legislation and its impact on services users and mental health professionals at the micro level of service delivery. Historical precedence, media influence and public opinion are explored, and the reification of risk is questioned in practical and ethical terms. The government's newest proposals for compulsory treatment in the community are discussed in terms of practical efficacy and therapeutic impact. Dangerousness is far from being an objectively observable phenomenon arising from clinical pathology, but is a formulation of what is partially knowable through social analysis and unknowable by virtue of its situation in individual psychic motivation. Risk assessment can therefore never be completely accurate, and the solution of a 'better safe than sorry' approach to mental health policy is ethically and pragmatically flawed.

  7. Modeling of recovery profiles in mentally disabled and intact patients after sevoflurane anesthesia; a pharmacodynamic analysis.

    PubMed

    Shin, Teo Jeon; Noh, Gyu-Jeong; Koo, Yong-Seo; Han, Dong Woo

    2014-11-01

    Mentally disabled patients show different recovery profiles compared to normal patients after general anesthesia. However, the relationship of dose-recovery profiles of mentally disabled patients has never been compared to that of normal patients. Twenty patients (10 mentally disabled patients and 10 mentally intact patients) scheduled to dental surgery under general anesthesia was recruited. Sevoflurane was administered to maintain anesthesia during dental treatment. At the end of the surgery, sevoflurane was discontinued. End-tidal sevoflurane and recovery of consciousness (ROC) were recorded after sevoflurane discontinuation. The pharmacodynamic relation between the probability of ROC and end-tidal sevoflurane concentration was analyzed using NONMEM software (version VII). End-tidal sevoflurane concentration associated with 50% probability of ROC (C₅₀) and γ value were lower in the mentally disabled patients (C₅₀=0.37 vol %, γ=16.5 in mentally intact patients, C₅₀=0.19 vol %, γ=4.58 in mentally disabled patients). Mentality was a significant covariate of C₅₀ for ROC and γ value to pharmacodynamic model. A sigmoid Emanx model explains the pharmacodynamic relationship between end-tidal sevoflurane concentration and ROC. Mentally disabled patients may recover slower from anesthesia at lower sevoflurane concentration at ROC an compared to normal patients.

  8. Modeling of Recovery Profiles in Mentally Disabled and Intact Patients after Sevoflurane Anesthesia; A Pharmacodynamic Analysis

    PubMed Central

    Shin, Teo Jeon; Noh, Gyu-Jeong; Koo, Yong-Seo

    2014-01-01

    Purpose Mentally disabled patients show different recovery profiles compared to normal patients after general anesthesia. However, the relationship of dose-recovery profiles of mentally disabled patients has never been compared to that of normal patients. Materials and Methods Twenty patients (10 mentally disabled patients and 10 mentally intact patients) scheduled to dental surgery under general anesthesia was recruited. Sevoflurane was administered to maintain anesthesia during dental treatment. At the end of the surgery, sevoflurane was discontinued. End-tidal sevoflurane and recovery of consciousness (ROC) were recorded after sevoflurane discontinuation. The pharmacodynamic relation between the probability of ROC and end-tidal sevoflurane concentration was analyzed using NONMEM software (version VII). Results End-tidal sevoflurane concentration associated with 50% probability of ROC (C50) and γ value were lower in the mentally disabled patients (C50=0.37 vol %, γ=16.5 in mentally intact patients, C50=0.19 vol %, γ=4.58 in mentally disabled patients). Mentality was a significant covariate of C50 for ROC and γ value to pharmacodynamic model. Conclusion A sigmoid Emanx model explains the pharmacodynamic relationship between end-tidal sevoflurane concentration and ROC. Mentally disabled patients may recover slower from anesthesia at lower sevoflurane concentration at ROC an compared to normal patients. PMID:25323901

  9. Numerically accurate computational techniques for optimal estimator analyses of multi-parameter models

    NASA Astrophysics Data System (ADS)

    Berger, Lukas; Kleinheinz, Konstantin; Attili, Antonio; Bisetti, Fabrizio; Pitsch, Heinz; Mueller, Michael E.

    2018-05-01

    Modelling unclosed terms in partial differential equations typically involves two steps: First, a set of known quantities needs to be specified as input parameters for a model, and second, a specific functional form needs to be defined to model the unclosed terms by the input parameters. Both steps involve a certain modelling error, with the former known as the irreducible error and the latter referred to as the functional error. Typically, only the total modelling error, which is the sum of functional and irreducible error, is assessed, but the concept of the optimal estimator enables the separate analysis of the total and the irreducible errors, yielding a systematic modelling error decomposition. In this work, attention is paid to the techniques themselves required for the practical computation of irreducible errors. Typically, histograms are used for optimal estimator analyses, but this technique is found to add a non-negligible spurious contribution to the irreducible error if models with multiple input parameters are assessed. Thus, the error decomposition of an optimal estimator analysis becomes inaccurate, and misleading conclusions concerning modelling errors may be drawn. In this work, numerically accurate techniques for optimal estimator analyses are identified and a suitable evaluation of irreducible errors is presented. Four different computational techniques are considered: a histogram technique, artificial neural networks, multivariate adaptive regression splines, and an additive model based on a kernel method. For multiple input parameter models, only artificial neural networks and multivariate adaptive regression splines are found to yield satisfactorily accurate results. Beyond a certain number of input parameters, the assessment of models in an optimal estimator analysis even becomes practically infeasible if histograms are used. The optimal estimator analysis in this paper is applied to modelling the filtered soot intermittency in large eddy

  10. Stochastic Processes as True-Score Models for Highly Speeded Mental Tests.

    ERIC Educational Resources Information Center

    Moore, William E.

    The previous theoretical development of the Poisson process as a strong model for the true-score theory of mental tests is discussed, and additional theoretical properties of the model from the standpoint of individual examinees are developed. The paper introduces the Erlang process as a family of test theory models and shows in the context of…

  11. The Impact of Field Trips and Family Involvement on Mental Models of the Desert Environment

    ERIC Educational Resources Information Center

    Judson, Eugene

    2011-01-01

    This study examined the mental models of the desert environment held by fourth- and seventh-grade students in the USA and whether those mental models could be affected by: (1) classroom field trips to a desert riparian preserve, and (2) interaction with family members at the same preserve. Results generally indicated that students in this study…

  12. Elementary teachers' mental models of engineering design processes: A comparison of two communities of practice

    NASA Astrophysics Data System (ADS)

    McMahon, Ann P.

    Educating K-12 students in the processes of design engineering is gaining popularity in public schools. Several states have adopted standards for engineering design despite the fact that no common agreement exists on what should be included in the K-12 engineering design process. Furthermore, little pre-service and in-service professional development exists that will prepare teachers to teach a design process that is fundamentally different from the science teaching process found in typical public schools. This study provides a glimpse into what teachers think happens in engineering design compared to articulated best practices in engineering design. Wenger's communities of practice work and van Dijk's multidisciplinary theory of mental models provide the theoretical bases for comparing the mental models of two groups of elementary teachers (one group that teaches engineering and one that does not) to the mental models of design engineers (including this engineer/researcher/educator and professionals described elsewhere). The elementary school teachers and this engineer/researcher/educator observed the design engineering process enacted by professionals, then answered questions designed to elicit their mental models of the process they saw in terms of how they would teach it to elementary students. The key finding is this: Both groups of teachers embedded the cognitive steps of the design process into the matrix of the social and emotional roles and skills of students. Conversely, the engineers embedded the social and emotional aspects of the design process into the matrix of the cognitive steps of the design process. In other words, teachers' mental models show that they perceive that students' social and emotional communicative roles and skills in the classroom drive their cognitive understandings of the engineering process, while the mental models of this engineer/researcher/educator and the engineers in the video show that we perceive that cognitive

  13. The effect of patient-centeredness and gender of professional role models on trainees' mentalization responses. Implications for film-aided education.

    PubMed

    Bálint, Katalin; Nagy, Tamás; Csabai, Márta

    2014-10-01

    To examine how certain characteristics of film-presented practitioner role-models influence trainees' mentalization. In an experimental setting, psychology students watched four film clips presenting a patient-practitioner session; the clips varied in the practitioner's patient-centeredness (positive vs. negative) and gender. Participants commented on the practitioner's thoughts, emotions and intentions through the session. Analysis of 116 comments focused on the effect of patient-centeredness and gender variables on mentalization and judgment utterances. Negative role-models and female role-models induced higher levels of mentalization compared to positive and male role-models. There was no gender difference in the level of mentalization; however male participants gave more judgmental responses than female participants. The patient-centeredness had a larger effect on mentalization when trainees described the opposite gender role-model. In a systematic comparison, students' capacity for mentalization differed according to role-models' patient-centeredness and gender, as well as the gender-match of students with role-models. When working with film-presented role-models, educators should be aware of the differences in the level of mentalization elicited by positive and male role-models, as opposed to negative and female role-models. Educators should also consider the gender-match between trainees and role-models, therefore students should be exposed to both cross- and same-gender role-models. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  14. Pre-Service Teachers' Mental Models of Basic Astronomy Concepts

    ERIC Educational Resources Information Center

    Arslan, A. Saglam; Durikan, U.

    2016-01-01

    The aim of the present study is to determine pre-service teachers' mental models related to basic astronomy concepts. The study was conducted using a survey method with 293 pre-service teachers from 4 different departments; physics education, science education, primary teacher education and early childhood education. An achievement test with…

  15. Accurate and scalable social recommendation using mixed-membership stochastic block models.

    PubMed

    Godoy-Lorite, Antonia; Guimerà, Roger; Moore, Cristopher; Sales-Pardo, Marta

    2016-12-13

    With increasing amounts of information available, modeling and predicting user preferences-for books or articles, for example-are becoming more important. We present a collaborative filtering model, with an associated scalable algorithm, that makes accurate predictions of users' ratings. Like previous approaches, we assume that there are groups of users and of items and that the rating a user gives an item is determined by their respective group memberships. However, we allow each user and each item to belong simultaneously to mixtures of different groups and, unlike many popular approaches such as matrix factorization, we do not assume that users in each group prefer a single group of items. In particular, we do not assume that ratings depend linearly on a measure of similarity, but allow probability distributions of ratings to depend freely on the user's and item's groups. The resulting overlapping groups and predicted ratings can be inferred with an expectation-maximization algorithm whose running time scales linearly with the number of observed ratings. Our approach enables us to predict user preferences in large datasets and is considerably more accurate than the current algorithms for such large datasets.

  16. Accurate and scalable social recommendation using mixed-membership stochastic block models

    PubMed Central

    Godoy-Lorite, Antonia; Moore, Cristopher

    2016-01-01

    With increasing amounts of information available, modeling and predicting user preferences—for books or articles, for example—are becoming more important. We present a collaborative filtering model, with an associated scalable algorithm, that makes accurate predictions of users’ ratings. Like previous approaches, we assume that there are groups of users and of items and that the rating a user gives an item is determined by their respective group memberships. However, we allow each user and each item to belong simultaneously to mixtures of different groups and, unlike many popular approaches such as matrix factorization, we do not assume that users in each group prefer a single group of items. In particular, we do not assume that ratings depend linearly on a measure of similarity, but allow probability distributions of ratings to depend freely on the user’s and item’s groups. The resulting overlapping groups and predicted ratings can be inferred with an expectation-maximization algorithm whose running time scales linearly with the number of observed ratings. Our approach enables us to predict user preferences in large datasets and is considerably more accurate than the current algorithms for such large datasets. PMID:27911773

  17. PRISM: A DATA-DRIVEN PLATFORM FOR MONITORING MENTAL HEALTH

    PubMed Central

    KAMDAR, MAULIK R.; WU, MICHELLE J.

    2018-01-01

    Neuropsychiatric disorders are the leading cause of disability worldwide and there is no gold standard currently available for the measurement of mental health. This issue is exacerbated by the fact that the information physicians use to diagnose these disorders is episodic and often subjective. Current methods to monitor mental health involve the use of subjective DSM-5 guidelines, and advances in EEG and video monitoring technologies have not been widely adopted due to invasiveness and inconvenience. Wearable technologies have surfaced as a ubiquitous and unobtrusive method for providing continuous, quantitative data about a patient. Here, we introduce PRISM — Passive, Real-time Information for Sensing Mental Health. This platform integrates motion, light and heart rate data from a smart watch application with user interactions and text insights from a web application. We have demonstrated a proof of concept by collecting preliminary data through a pilot study of 13 subjects. We have engineered appropriate features and applied both unsupervised and supervised learning to develop models that can recapitulate user-reported ratings of their emotional state. This demonstrates that the data has the potential to be useful for evaluating mental health. This platform will allow us to leverage continuous streams of passive data for early and accurate diagnosis as well as constant monitoring of patients suffering from mental disorders. PMID:26776198

  18. Alternative conceptions, memory, & mental models in physics education

    NASA Astrophysics Data System (ADS)

    Lee, Gyoungho; Shin, Jongho; Park, Jiyeon; Song, Sangho; Kim, Yeounsoo; Bao, Lei

    2005-09-01

    There are two somewhat independent research traditions, which converge to suggest a form of students' knowledge: alternative conceptions and mental models. However we have little literature that explains what they are different from each other and from memory. This study tried to describe these issues with some thoughts about how cognitive psychology and science education approaches can be best synthesized in order to approach these questions.

  19. Mental Rotation of Dynamic, Three-Dimensional Stimuli by 3-Month-Old Infants

    ERIC Educational Resources Information Center

    Moore, David S.; Johnson, Scott P.

    2011-01-01

    Mental rotation involves transforming a mental image of an object so as to accurately predict how the object would look if it were rotated in space. This study examined mental rotation in male and female 3-month-olds, using the stimuli and paradigm developed by Moore and Johnson (2008). Infants were habituated to a video of a three-dimensional…

  20. Participatory Model of Mental Health Programming: Lessons Learned from Work in a Developing Country.

    ERIC Educational Resources Information Center

    Nastasi, Bonnie K.; Varjas, Kristen; Sarkar, Sreeroopa; Jayasena, Asoka

    1998-01-01

    Describes application of participatory model for creating school-based mental health services in a developing country. Describes process of identifying individual and cultural factors relevant to mental health. Discusses importance of formative research and collaboration with stakeholders to ensure cultural specificity of interventions, and the…

  1. Integrative mental health care: from theory to practice, Part 2.

    PubMed

    Lake, James

    2008-01-01

    Integrative approaches will lead to more accurate and different understandings of mental illness. Beneficial responses to complementary and alternative therapies provide important clues about the phenomenal nature of the human body in space-time and disparate biological, informational, and energetic factors associated with normal and abnormal psychological functioning. The conceptual framework of contemporary Western psychiatry includes multiple theoretical viewpoints, and there is no single best explanatory model of mental illness. Future theories of mental illness causation will not depend exclusively on empirical verification of strictly biological processes but will take into account both classically described biological processes and non-classical models, including complexity theory, resulting in more complete explanations of the characteristics and causes of symptoms and mechanisms of action that result in beneficial responses to treatments. Part 1 of this article examined the limitations of the theory and contemporary clinical methods employed in Western psychiatry and discussed implications of emerging paradigms in physics and the biological sciences for the future of psychiatry. In part 2, a practical methodology, for planning integrative assessment and treatment strategies in mental health care is proposed. Using this methodology the integrative management of moderate and severe psychiatric symptoms is reviewed in detail. As the conceptual framework of Western medicine evolves toward an increasingly integrative perspective, novel understanding of complex relationships between biological, informational, and energetic processes associated with normal psychological functioning and mental illness will lead to more effective integrative assessment and treatment strategies addressing the causes or meanings of symptoms at multiple hierarchic levels of body-brain-mind.

  2. Integrative mental health care: from theory to practice, part 1.

    PubMed

    Lake, James

    2007-01-01

    Integrative approaches will lead to more accurate and different understandings of mental illness. Beneficial responses to complementary and alternative therapies provide important clues about the phenomenal nature of the human body in space-time and disparate biological, informational, and energetic factors associated with normal and abnormal psychological functioning. The conceptual framework of contemporary Western psychiatry includes multiple theoretical viewpoints, and there is no single best explanatory model of mental illness. Future theories of mental illness causation will not depend exclusively on empirical verification of strictly biological processes but will take into account both classically described biological processes and non-classical models, including complexity theory, resulting in more complete explanations of the characteristics and causes of symptoms and mechanisms of action that result in beneficial responses to treatments. Part 1 of this article examines the limitations of the theory and contemporary clinical methods employed in Western psychiatry and discusses implications of emerging paradigms in physics and the biological sciences for the future of psychiatry. In part 2, a practical methodology for planning integrative assessment and treatment strategies in mental health care is proposed. Using this methodology the integrative management of moderate and severe psychiatric symptoms is reviewed in detail. As the conceptual framework of Western medicine evolves toward an increasingly integrative perspective, novel understandings of complex relationships between biological, informational, and energetic processes associated with normal psychological functioning and mental illness will lead to more effective integrative assessment and treatment strategies addressing the causes or meanings of symptoms at multiple hierarchic levels of body-brain-mind.

  3. Fostering Recovery from Life-Transforming Mental Health Disorders: A Synthesis and Model

    PubMed Central

    Green, Carla A.

    2012-01-01

    In the past, “recovery” from serious mental health problems has been variously defined and generally considered rare. Current evidence suggests that some form of recovery is both possible and common, yet we know little about the processes that differentiate those who recover from those who do not. This paper discusses approaches to defining recovery, proposes a model for fostering, understanding, and studying recovery, and suggests questions for clinicians, researchers, and policy makers. The proposed model is a synthesis of work from the field of mental health as well as from other disciplines. Environment, resources, and strains, provide the backdrop for recovery; core recovery processes include development, learning, healing, and their primary behavioral manifestation, adaptation. Components facilitating recovery include sources of motivation (hope, optimism, and meaning), prerequisites for action (agency, control, and autonomy), and capacity (competence and dysfunction). Attending to these aspects of the recovery process could help shape clinical practice, and systems that provide and finance mental health care, in ways that promote recovery. PMID:23264751

  4. Dynamic sensing model for accurate delectability of environmental phenomena using event wireless sensor network

    NASA Astrophysics Data System (ADS)

    Missif, Lial Raja; Kadhum, Mohammad M.

    2017-09-01

    Wireless Sensor Network (WSN) has been widely used for monitoring where sensors are deployed to operate independently to sense abnormal phenomena. Most of the proposed environmental monitoring systems are designed based on a predetermined sensing range which does not reflect the sensor reliability, event characteristics, and the environment conditions. Measuring of the capability of a sensor node to accurately detect an event within a sensing field is of great important for monitoring applications. This paper presents an efficient mechanism for even detection based on probabilistic sensing model. Different models have been presented theoretically in this paper to examine their adaptability and applicability to the real environment applications. The numerical results of the experimental evaluation have showed that the probabilistic sensing model provides accurate observation and delectability of an event, and it can be utilized for different environment scenarios.

  5. The patient centered medical home: mental models and practice culture driving the transformation process.

    PubMed

    Cronholm, Peter F; Shea, Judy A; Werner, Rachel M; Miller-Day, Michelle; Tufano, Jim; Crabtree, Benjamin F; Gabbay, Robert

    2013-09-01

    The Patient-Centered Medical Home (PCMH) has become a dominant model of primary care re-design. The PCMH model is a departure from more traditional models of healthcare delivery and requires significant transformation to be realized. To describe factors shaping mental models and practice culture driving the PCMH transformation process in a large multi-payer PCMH demonstration project. Individual interviews were conducted at 17 primary care practices in South Eastern Pennsylvania. A total of 118 individual interviews were conducted with clinicians (N = 47), patient educators (N = 4), office administrators (N = 12), medical assistants (N = 26), front office staff (N = 7), nurses (N = 4), care managers (N = 11), social workers (N = 4), and other stakeholders (N = 3). A multi-disciplinary research team used a grounded theory approach to develop the key constructs describing factors shaping successful practice transformation. Three central themes emerged from the data related to changes in practice culture and mental models necessary for PCMH practice transformation: 1) shifting practice perspectives towards proactive, population-oriented care based in practice-patient partnerships; 2) creating a culture of self-examination; and 3) challenges to developing new roles within the practice through distribution of responsibilities and team-based care. The most tension in shifting the required mental models was displayed between clinician and medical assistant participants, revealing significant barriers towards moving away from clinician-centric care. Key factors driving the PCMH transformation process require shifting mental models at the individual level and culture change at the practice level. Transformation is based upon structural and process changes that support orientation of practice mental models towards perceptions of population health, self-assessment, and the development of shared decision-making. Staff buy-in to the new roles

  6. Of mental models, assumptions and heuristics: The case of acids and acid strength

    NASA Astrophysics Data System (ADS)

    McClary, Lakeisha Michelle

    This study explored what cognitive resources (i.e., units of knowledge necessary to learn) first-semester organic chemistry students used to make decisions about acid strength and how those resources guided the prediction, explanation and justification of trends in acid strength. We were specifically interested in the identifying and characterizing the mental models, assumptions and heuristics that students relied upon to make their decisions, in most cases under time constraints. The views about acids and acid strength were investigated for twenty undergraduate students. Data sources for this study included written responses and individual interviews. The data was analyzed using a qualitative methodology to answer five research questions. Data analysis regarding these research questions was based on existing theoretical frameworks: problem representation (Chi, Feltovich & Glaser, 1981), mental models (Johnson-Laird, 1983); intuitive assumptions (Talanquer, 2006), and heuristics (Evans, 2008). These frameworks were combined to develop the framework from which our data were analyzed. Results indicated that first-semester organic chemistry students' use of cognitive resources was complex and dependent on their understanding of the behavior of acids. Expressed mental models were generated using prior knowledge and assumptions about acids and acid strength; these models were then employed to make decisions. Explicit and implicit features of the compounds in each task mediated participants' attention, which triggered the use of a very limited number of heuristics, or shortcut reasoning strategies. Many students, however, were able to apply more effortful analytic reasoning, though correct trends were predicted infrequently. Most students continued to use their mental models, assumptions and heuristics to explain a given trend in acid strength and to justify their predicted trends, but the tasks influenced a few students to shift from one model to another model. An

  7. Characteristics and Levels of Sophistication: An Analysis of Chemistry Students' Ability to Think with Mental Models

    ERIC Educational Resources Information Center

    Wang, Chia-Yu; Barrow, Lloyd H.

    2011-01-01

    This study employed a case-study approach to reveal how an ability to think with mental models contributes to differences in students' understanding of molecular geometry and polarity. We were interested in characterizing features and levels of sophistication regarding first-year university chemistry learners' mental modeling behaviors while the…

  8. Logistic regression models for predicting physical and mental health-related quality of life in rheumatoid arthritis patients.

    PubMed

    Alishiri, Gholam Hossein; Bayat, Noushin; Fathi Ashtiani, Ali; Tavallaii, Seyed Abbas; Assari, Shervin; Moharamzad, Yashar

    2008-01-01

    The aim of this work was to develop two logistic regression models capable of predicting physical and mental health related quality of life (HRQOL) among rheumatoid arthritis (RA) patients. In this cross-sectional study which was conducted during 2006 in the outpatient rheumatology clinic of our university hospital, Short Form 36 (SF-36) was used for HRQOL measurements in 411 RA patients. A cutoff point to define poor versus good HRQOL was calculated using the first quartiles of SF-36 physical and mental component scores (33.4 and 36.8, respectively). Two distinct logistic regression models were used to derive predictive variables including demographic, clinical, and psychological factors. The sensitivity, specificity, and accuracy of each model were calculated. Poor physical HRQOL was positively associated with pain score, disease duration, monthly family income below 300 US$, comorbidity, patient global assessment of disease activity or PGA, and depression (odds ratios: 1.1; 1.004; 15.5; 1.1; 1.02; 2.08, respectively). The variables that entered into the poor mental HRQOL prediction model were monthly family income below 300 US$, comorbidity, PGA, and bodily pain (odds ratios: 6.7; 1.1; 1.01; 1.01, respectively). Optimal sensitivity and specificity were achieved at a cutoff point of 0.39 for the estimated probability of poor physical HRQOL and 0.18 for mental HRQOL. Sensitivity, specificity, and accuracy of the physical and mental models were 73.8, 87, 83.7% and 90.38, 70.36, 75.43%, respectively. The results show that the suggested models can be used to predict poor physical and mental HRQOL separately among RA patients using simple variables with acceptable accuracy. These models can be of use in the clinical decision-making of RA patients and to recognize patients with poor physical or mental HRQOL in advance, for better management.

  9. Nine key principles to guide youth mental health: development of service models in New South Wales.

    PubMed

    Howe, Deborah; Batchelor, Samantha; Coates, Dominiek; Cashman, Emma

    2014-05-01

    Historically, the Australian health system has failed to meet the needs of young people with mental health problems and mental illness. In 2006, New South Wales (NSW) Health allocated considerable funds to the reform agenda of mental health services in NSW to address this inadequacy. Children and Young People's Mental Health (CYPMH), a service that provides mental health care for young people aged 12-24 years, with moderate to severe mental health problems, was chosen to establish a prototype Youth Mental Health (YMH) Service Model for NSW. This paper describes nine key principles developed by CYPMH to guide the development of YMH Service Models in NSW. A literature review, numerous stakeholder consultations and consideration of clinical best practice were utilized to inform the development of the key principles. Subsequent to their development, the nine key principles were formally endorsed by the Mental Health Program Council to ensure consistency and monitor the progress of YMH services across NSW. As a result, between 2008 and 2012 YMH Services across NSW regularly reported on their activities against each of the nine key principles demonstrating how each principle was addressed within their service. The nine key principles provide mental health services a framework for how to reorient services to accommodate YMH and provide a high-quality model of care. [Corrections added on 29 November 2013, after first online publication: The last two sentences of the Results section have been replaced with "As a result, between 2008 and 2012 YMH Services across NSW regularly reported on their activities against each of the nine key principles demonstrating how each principle was addressed within their service."]. © 2013 Wiley Publishing Asia Pty Ltd.

  10. Contributions of Model-Based Learning to the Restructuring of Graduation Students' Mental Models on Natural Hazards

    ERIC Educational Resources Information Center

    Moutinho, Sara; Moura, Rui; Vasconcelos, Clara

    2017-01-01

    Model-Based learning is a methodology that facilitates students' construction of scientific knowledge, which, sometimes, includes restructuring their mental models. Taking into consideration students' learning process, its aim is to promote a deeper understanding of phenomena's dynamics through the manipulation of models. Our aim was to ascertain…

  11. Mental health literacy as a mediator in use of mental health services among older korean adults.

    PubMed

    Kim, Young Sun; Rhee, T Greg; Lee, Hee Yun; Park, Byung Hyun; Sharratt, Monica L

    2017-02-01

    Existing literature suggests that mental health literacy is positively associated with mental health services utilization. Despite an aging population that faces significant mental health concerns in Korea, the role of mental health literacy on mental health services utilization is not known among older adults in Korea. This study aimed to (1) identify whether mental health literacy mediates the association between population characteristics and mental health services utilization and (2) identify an optimal path model for mental health services utilization among Korean older adults. Using a cross-sectional survey with a quota sampling strategy, we collected and analyzed responses from 596 community-dwelling individuals ages 65 years and older. We used structural equation modeling (SEM) to estimate the effect of mental health literacy as a mediator. When controlling for other relevant covariates in the optimal path model, mental health literacy mediated the relationships between three socio-demographic factors (education, general literacy, and health status) and mental health services utilization. The model fit index shows that the SEM fits very well (CFI = 0.92, NFI = 0.90, RMSEA = 0.07). Efforts to improve mental health literacy through community-based education programs may need to particularly target Korean older adults with the relevant socio-demographic characteristics to enhance their utilization of appropriate mental health services.

  12. Adapting to change: The role of the right hemisphere in mental model building and updating.

    PubMed

    Filipowicz, Alex; Anderson, Britt; Danckert, James

    2016-09-01

    We recently proposed that the right hemisphere plays a crucial role in the processes underlying mental model building and updating. Here, we review the evidence we and others have garnered to support this novel account of right hemisphere function. We begin by presenting evidence from patient work that suggests a critical role for the right hemisphere in the ability to learn from the statistics in the environment (model building) and adapt to environmental change (model updating). We then provide a review of neuroimaging research that highlights a network of brain regions involved in mental model updating. Next, we outline specific roles for particular regions within the network such that the anterior insula is purported to maintain the current model of the environment, the medial prefrontal cortex determines when to explore new or alternative models, and the inferior parietal lobule represents salient and surprising information with respect to the current model. We conclude by proposing some future directions that address some of the outstanding questions in the field of mental model building and updating. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  13. Getting a Picture that Is Both Accurate and Stable: Situation Models and Epistemic Validation

    ERIC Educational Resources Information Center

    Schroeder, Sascha; Richter, Tobias; Hoever, Inga

    2008-01-01

    Text comprehension entails the construction of a situation model that prepares individuals for situated action. In order to meet this function, situation model representations are required to be both accurate and stable. We propose a framework according to which comprehenders rely on epistemic validation to prevent inaccurate information from…

  14. Accurate Treatment of Collision and Water-Delivery in Models of Terrestrial Planet Formation

    NASA Astrophysics Data System (ADS)

    Haghighipour, N.; Maindl, T. I.; Schaefer, C. M.; Wandel, O.

    2017-08-01

    We have developed a comprehensive approach in simulating collisions and growth of embryos to terrestrial planets where we use a combination of SPH and N-body codes to model collisions and the transfer of water and chemical compounds accurately.

  15. A National Mental Retardation Manpower Model.

    ERIC Educational Resources Information Center

    National Inst. on Mental Retardation, Toronto (Ontario).

    The report of the Task Force established by the Canadian National Institute on Mental Retardation concerns a comprehensive planning and organization program for training personnel, especially associate professionals, in the field of mental retardation to provide a more effective utilization of manpower. Summarized are results of surveys of…

  16. [Transfer and Implementation of Innovative Awareness and Education Measures, e-Mental Health and Care Models in psychenet - Hamburg Network for Mental Health].

    PubMed

    Lambert, Martin; Härter, Martin; Brandes, Andreas; Hillebrandt, Bernd; Schlüter, Catarina; Quante, Susanne

    2015-07-01

    The Hamburg Network for Mental Health belongs to the healthcare regions in Germany, funded by the Federal Ministry of Education and Research from 2011 to 2015. More than 330 partners from research, health care, health industry and government are promoting innovative health care models and products to improve mental health care in Hamburg. The main objectives comprise the sustained implementation of the Network itself and of successful health care models and products. The article describes current and future implementation possibilities and the present state of the implementation process. © Georg Thieme Verlag KG Stuttgart · New York.

  17. PTSD'S mediation of the relationships between trauma, depression, substance abuse, mental health, and physical health in individuals with severe mental illness: evaluating a comprehensive model.

    PubMed

    Subica, Andrew M; Claypoole, Keith H; Wylie, A Michael

    2012-04-01

    Following trauma exposure and PTSD, individuals with severe mental illness (SMI) frequently suffer a complex course of recovery complicated by reduced mental and physical health and increased substance abuse. The authors evaluated a theoretical PTSD-SMI model which theorizes that trauma, PTSD, depression, substance abuse, mental health, and physical health are interrelated and that PTSD mediates these relationships. Participants were ethnoracially diverse individuals diagnosed with SMI (N=175) who were assessed for trauma exposure, severity of PTSD and depression, substance abuse, and overall mental and physical health functioning. Pearson's correlations were utilized to examine the relationships between study domains. The mediating effects of PTSD were assessed using regression coefficients and the Sobel test for mediation. A majority of participants with SMI (89%) reported trauma exposure and 41% reported meeting diagnostic criteria for PTSD. On average, participants were exposed to over four types of traumatic events. Trauma, severity of PTSD and depression, substance abuse, and overall mental and physical health functioning were significantly interrelated. PTSD partially mediated the relationships between trauma and severity of depression and between trauma and overall mental health; PTSD fully mediated the trauma and overall physical health relationship. Within an ethnoracially diverse SMI sample, trauma exposure and PTSD comorbidity were high and associated with severity of depression, substance abuse, overall mental health and physical health functioning. Supporting our theoretical PTSD-SMI model, PTSD mediated the adverse effects of trauma exposure on participants' current severity of depression and overall mental and physical health functioning. Copyright © 2011 Elsevier B.V. All rights reserved.

  18. Illusory inferences from a disjunction of conditionals: a new mental models account.

    PubMed

    Barrouillet, P; Lecas, J F

    2000-08-14

    (Johnson-Laird, P.N., & Savary, F. (1999, Illusory inferences: a novel class of erroneous deductions. Cognition, 71, 191-229.) have recently presented a mental models account, based on the so-called principle of truth, for the occurrence of inferences that are compelling but invalid. This article presents an alternative account of the illusory inferences resulting from a disjunction of conditionals. In accordance with our modified theory of mental models of the conditional, we show that the way individuals represent conditionals leads them to misinterpret the locus of the disjunction and prevents them from drawing conclusions from a false conditional, thus accounting for the compelling character of the illusory inference.

  19. Classification of natural and supernatural causes of mental distress. Development of a Mental Distress Explanatory Model Questionnaire.

    PubMed

    Eisenbruch, M

    1990-11-01

    This paper describes the background and development of a Mental Distress Explanatory Model Questionnaire designed to explore how people from different cultures explain mental distress. A 45-item questionnaire was developed with items derived from the Murdock et al. categories, with additional items covering western notions of physiological causation and stress. The questionnaire was administered to 261 people, mostly college students. Multi-dimensional scaling analysis shows four clusters of mental distress: a) stress; b) western physiological; c) nonwestern physiological; and d) supernatural. These clusters form two dimensions: western physiological vs. supernatural and impersonal vs. personalistic explanations. Natural and stress items are separated from supernatural and nonwestern physiological items along the first dimension. Brain damage, physical illness, and genetic defects have the greatest separation along the first dimension. Being hot, the body being out of balance, and wind currents passing through the body most strongly represent the non-western physiological category. The questionnaire has the potential to be used for community health screening and for monitoring patient care, as well as with students in the health sciences and with health practitioners.

  20. Preferred mental models in reasoning about spatial relations.

    PubMed

    Jahn, Georg; Knauff, Markus; Johnson-Laird, P N

    2007-12-01

    The theory of mental models postulates that individuals infer that a spatial description is consistent only if they can construct a model in which all the assertions in the description are true. Individuals prefer a parsimonious representation, and so, when a description is consistent with more than one possible layout of entities on the left-right dimension, individuals in our culture prefer to construct models working from left to right. They also prefer to locate entities referred to in the same assertion as adjacent to one another in a model. And, if possible, they tend to chunk entities into a single unit in order to capture several possibilities in a single model. We report four experiments corroborating these predictions. The results shed light on the integration of relational assertions, and they show that participants exploit implicit constraints in building models of spatial relations.

  1. Modeling of capacitor charging dynamics in an energy harvesting system considering accurate electromechanical coupling effects

    NASA Astrophysics Data System (ADS)

    Bagheri, Shahriar; Wu, Nan; Filizadeh, Shaahin

    2018-06-01

    This paper presents an iterative numerical method that accurately models an energy harvesting system charging a capacitor with piezoelectric patches. The constitutive relations of piezoelectric materials connected with an external charging circuit with a diode bridge and capacitors lead to the electromechanical coupling effect and the difficulty of deriving accurate transient mechanical response, as well as the charging progress. The proposed model is built upon the Euler-Bernoulli beam theory and takes into account the electromechanical coupling effects as well as the dynamic process of charging an external storage capacitor. The model is validated through experimental tests on a cantilever beam coated with piezoelectric patches. Several parametric studies are performed and the functionality of the model is verified. The efficiency of power harvesting system can be predicted and tuned considering variations in different design parameters. Such a model can be utilized to design robust and optimal energy harvesting system.

  2. Modality, probability, and mental models.

    PubMed

    Hinterecker, Thomas; Knauff, Markus; Johnson-Laird, P N

    2016-10-01

    We report 3 experiments investigating novel sorts of inference, such as: A or B or both. Therefore, possibly (A and B). Where the contents were sensible assertions, for example, Space tourism will achieve widespread popularity in the next 50 years or advances in material science will lead to the development of antigravity materials in the next 50 years, or both . Most participants accepted the inferences as valid, though they are invalid in modal logic and in probabilistic logic too. But, the theory of mental models predicts that individuals should accept them. In contrast, inferences of this sort—A or B but not both. Therefore, A or B or both—are both logically valid and probabilistically valid. Yet, as the model theory also predicts, most reasoners rejected them. The participants’ estimates of probabilities showed that their inferences tended not to be based on probabilistic validity, but that they did rate acceptable conclusions as more probable than unacceptable conclusions. We discuss the implications of the results for current theories of reasoning. PsycINFO Database Record (c) 2016 APA, all rights reserved

  3. Conceptual Change in Physical Geography and Environmental Sciences through Mental Model Building: The Example of Groundwater

    ERIC Educational Resources Information Center

    Reinfried, Sibylle

    2006-01-01

    This research tested the hypothesis that students' erroneous mental models about groundwater will change towards more valid concepts if they are taught on the basis of a mental model-building strategy that focuses on the clarification of students' misconceptions. To examine the hypothesis a quasi-experimental research design was chosen. The…

  4. Obtaining Accurate Probabilities Using Classifier Calibration

    ERIC Educational Resources Information Center

    Pakdaman Naeini, Mahdi

    2016-01-01

    Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…

  5. Food Insecurity and Common Mental Disorders among Ethiopian Youth: Structural Equation Modeling.

    PubMed

    Jebena, Mulusew G; Lindstrom, David; Belachew, Tefera; Hadley, Craig; Lachat, Carl; Verstraeten, Roos; De Cock, Nathalie; Kolsteren, Patrick

    2016-01-01

    Although the consequences of food insecurity on physical health and nutritional status of youth living have been reported, its effect on their mental health remains less investigated in developing countries. The aim of this study was to examine the pathways through which food insecurity is associated with poor mental health status among youth living in Ethiopia. We used data from Jimma Longitudinal Family Survey of Youth (JLFSY) collected in 2009/10. A total of 1,521 youth were included in the analysis. We measured food insecurity using a 5-items scale and common mental disorders using the 20-item Self-Reporting Questionnaire (SRQ-20). Structural and generalized equation modeling using maximum likelihood estimation method was used to analyze the data. The prevalence of common mental disorders was 30.8% (95% CI: 28.6, 33.2). Food insecurity was independently associated with common mental disorders (β = 0.323, P<0.05). Most (91.8%) of the effect of food insecurity on common mental disorders was direct and only 8.2% of their relationship was partially mediated by physical health. In addition, poor self-rated health (β = 0.285, P<0.05), high socioeconomic status (β = -0.076, P<0.05), parental education (β = 0.183, P<0.05), living in urban area (β = 0.139, P<0.05), and female-headed household (β = 0.192, P<0.05) were associated with common mental disorders. Food insecurity is directly associated with common mental disorders among youth in Ethiopia. Interventions that aim to improve mental health status of youth should consider strategies to improve access to sufficient, safe and nutritious food.

  6. Food Insecurity and Common Mental Disorders among Ethiopian Youth: Structural Equation Modeling

    PubMed Central

    Lindstrom, David; Belachew, Tefera; Hadley, Craig; Lachat, Carl; Verstraeten, Roos; De Cock, Nathalie; Kolsteren, Patrick

    2016-01-01

    Background Although the consequences of food insecurity on physical health and nutritional status of youth living have been reported, its effect on their mental health remains less investigated in developing countries. The aim of this study was to examine the pathways through which food insecurity is associated with poor mental health status among youth living in Ethiopia. Methods We used data from Jimma Longitudinal Family Survey of Youth (JLFSY) collected in 2009/10. A total of 1,521 youth were included in the analysis. We measured food insecurity using a 5-items scale and common mental disorders using the 20-item Self-Reporting Questionnaire (SRQ-20). Structural and generalized equation modeling using maximum likelihood estimation method was used to analyze the data. Results The prevalence of common mental disorders was 30.8% (95% CI: 28.6, 33.2). Food insecurity was independently associated with common mental disorders (β = 0.323, P<0.05). Most (91.8%) of the effect of food insecurity on common mental disorders was direct and only 8.2% of their relationship was partially mediated by physical health. In addition, poor self-rated health (β = 0.285, P<0.05), high socioeconomic status (β = -0.076, P<0.05), parental education (β = 0.183, P<0.05), living in urban area (β = 0.139, P<0.05), and female-headed household (β = 0.192, P<0.05) were associated with common mental disorders. Conclusions Food insecurity is directly associated with common mental disorders among youth in Ethiopia. Interventions that aim to improve mental health status of youth should consider strategies to improve access to sufficient, safe and nutritious food. PMID:27846283

  7. Designing a Training Tool for Imaging Mental Models

    DTIC Science & Technology

    1990-11-01

    Removing Aspects of Mental Models ................. 72 The History Function ............................................................ 75 In C...Category’ Dialog 73 A-63 ’Remove Entity’ Dialog 74 A-64 ’Remove Unk’ Dialog 75 A-65 ’ History ’ from ’Special’ Menu 76 A-66 Viewing the * History ’ Cluster...religious (the Garden of Eden), 4 computational (the Macintosh computer), botanic (trees), aesthetic (the Beatles ’ record company), scientific (Isaac

  8. Validation of an Accurate Three-Dimensional Helical Slow-Wave Circuit Model

    NASA Technical Reports Server (NTRS)

    Kory, Carol L.

    1997-01-01

    The helical slow-wave circuit embodies a helical coil of rectangular tape supported in a metal barrel by dielectric support rods. Although the helix slow-wave circuit remains the mainstay of the traveling-wave tube (TWT) industry because of its exceptionally wide bandwidth, a full helical circuit, without significant dimensional approximations, has not been successfully modeled until now. Numerous attempts have been made to analyze the helical slow-wave circuit so that the performance could be accurately predicted without actually building it, but because of its complex geometry, many geometrical approximations became necessary rendering the previous models inaccurate. In the course of this research it has been demonstrated that using the simulation code, MAFIA, the helical structure can be modeled with actual tape width and thickness, dielectric support rod geometry and materials. To demonstrate the accuracy of the MAFIA model, the cold-test parameters including dispersion, on-axis interaction impedance and attenuation have been calculated for several helical TWT slow-wave circuits with a variety of support rod geometries including rectangular and T-shaped rods, as well as various support rod materials including isotropic, anisotropic and partially metal coated dielectrics. Compared with experimentally measured results, the agreement is excellent. With the accuracy of the MAFIA helical model validated, the code was used to investigate several conventional geometric approximations in an attempt to obtain the most computationally efficient model. Several simplifications were made to a standard model including replacing the helical tape with filaments, and replacing rectangular support rods with shapes conforming to the cylindrical coordinate system with effective permittivity. The approximate models are compared with the standard model in terms of cold-test characteristics and computational time. The model was also used to determine the sensitivity of various

  9. PconsD: ultra rapid, accurate model quality assessment for protein structure prediction.

    PubMed

    Skwark, Marcin J; Elofsson, Arne

    2013-07-15

    Clustering methods are often needed for accurately assessing the quality of modeled protein structures. Recent blind evaluation of quality assessment methods in CASP10 showed that there is little difference between many different methods as far as ranking models and selecting best model are concerned. When comparing many models, the computational cost of the model comparison can become significant. Here, we present PconsD, a fast, stream-computing method for distance-driven model quality assessment that runs on consumer hardware. PconsD is at least one order of magnitude faster than other methods of comparable accuracy. The source code for PconsD is freely available at http://d.pcons.net/. Supplementary benchmarking data are also available there. arne@bioinfo.se Supplementary data are available at Bioinformatics online.

  10. Mental health professional support in families with a member suffering from severe mental illness: a grounded theory model.

    PubMed

    Gavois, Helena; Paulsson, Gun; Fridlund, Bengt

    2006-03-01

    The aim of this study was to develop a model of mental health professional (MHP) support based on the needs of families with a member suffering from severe mental illness (SMI). Twelve family members were interviewed with the focus on their needs of support by MHP, then the interviews were analyzed according to the grounded theory method. The generated model of MHP support had two core categories: the family members' process from crisis to recovery and their interaction with the MHP about mental health/illness and daily living of the person with SMI. Interaction based on ongoing contact between MHP and family members influenced the family members' process from crisis towards recovery. Four MHP strategies--being present, listening, sharing and empowering--met the family members' needs of support in the different stages of the crisis. Being present includes early contact, early information and protection by MHP at onset of illness or relapse. Listening includes assessing burden, maintaining contact and confirmation in daily living for the person with SMI. Sharing between MHP and family members includes co-ordination, open communication and security in daily living for the person with SMI. Finally, the MHP strategy empowering includes creating a context, counselling and encouraging development for the family members. The present model has a holistic approach and can be used as an overall guide for MHP support in clinical care of families of persons with SMI. For future studies, it is important to study the interaction of the family with SMI and the connection between hope, coping and empowerment.

  11. Exploring Undergraduate Students' Mental Models of the Environment: Are They Related to Environmental Affect and Behavior?

    ERIC Educational Resources Information Center

    Liu, Shu-Chiu; Lin, Huann-shyang

    2015-01-01

    A draw-and-explain task and questionnaire were used to explore Taiwanese undergraduate students' mental models of the environment and whether and how they relate to their environmental affect and behavioral commitment. We found that students generally held incomplete mental models of the environment, focusing on objects rather than on processes or…

  12. The Relationship between Shared Mental Models and Task Performance in an Online Team- Based Learning Environment

    ERIC Educational Resources Information Center

    Johnson, Tristan E.; Lee, Youngmin

    2008-01-01

    In an effort to better understand learning teams, this study examines the effects of shared mental models on team and individual performance. The results indicate that each team's shared mental model changed significantly over the time that subjects participated in team-based learning activities. The results also showed that the shared mental…

  13. Developing a change model for peer worker interventions in mental health services: a qualitative research study.

    PubMed

    Gillard, S; Gibson, S L; Holley, J; Lucock, M

    2015-10-01

    A range of peer worker roles are being introduced into mental health services internationally. There is some evidence that attests to the benefits of peer workers for the people they support but formal trial evidence in inconclusive, in part because the change model underpinning peer support-based interventions is underdeveloped. Complex intervention evaluation guidance suggests that understandings of how an intervention is associated with change in outcomes should be modelled, theoretically and empirically, before the intervention can be robustly evaluated. This paper aims to model the change mechanisms underlying peer worker interventions. In a qualitative, comparative case study of ten peer worker initiatives in statutory and voluntary sector mental health services in England in-depth interviews were carried out with 71 peer workers, service users, staff and managers, exploring their experiences of peer working. Using a Grounded Theory approach we identified core processes within the peer worker role that were productive of change for service users supported by peer workers. Key change mechanisms were: (i) building trusting relationships based on shared lived experience; (ii) role-modelling individual recovery and living well with mental health problems; (iii) engaging service users with mental health services and the community. Mechanisms could be further explained by theoretical literature on role-modelling and relationship in mental health services. We were able to model process and downstream outcomes potentially associated with peer worker interventions. An empirically and theoretically grounded change model can be articulated that usefully informs the development, evaluation and planning of peer worker interventions.

  14. Accurately modeling Gaussian beam propagation in the context of Monte Carlo techniques

    NASA Astrophysics Data System (ADS)

    Hokr, Brett H.; Winblad, Aidan; Bixler, Joel N.; Elpers, Gabriel; Zollars, Byron; Scully, Marlan O.; Yakovlev, Vladislav V.; Thomas, Robert J.

    2016-03-01

    Monte Carlo simulations are widely considered to be the gold standard for studying the propagation of light in turbid media. However, traditional Monte Carlo methods fail to account for diffraction because they treat light as a particle. This results in converging beams focusing to a point instead of a diffraction limited spot, greatly effecting the accuracy of Monte Carlo simulations near the focal plane. Here, we present a technique capable of simulating a focusing beam in accordance to the rules of Gaussian optics, resulting in a diffraction limited focal spot. This technique can be easily implemented into any traditional Monte Carlo simulation allowing existing models to be converted to include accurate focusing geometries with minimal effort. We will present results for a focusing beam in a layered tissue model, demonstrating that for different scenarios the region of highest intensity, thus the greatest heating, can change from the surface to the focus. The ability to simulate accurate focusing geometries will greatly enhance the usefulness of Monte Carlo for countless applications, including studying laser tissue interactions in medical applications and light propagation through turbid media.

  15. Modelizing home safety as experienced by people with mental illness.

    PubMed

    Désormeaux-Moreau, Marjorie; Larivière, Nadine; Aubin, Ginette

    2018-05-01

    As more individuals with mental disorders now live in the community and as the custodial care housing model has shifted to supported housing, home safety has become a rising issue, however, not well documented. To describe the phenomenon of home safety for people with a mental disorder as well as its contributing factors. A descriptive qualitative design was used. Individual interviews were conducted with persons with a mental disorder (n = 8), while focus groups were conducted with relatives, health and social service providers and community stakeholders (n = 21). The data were analyzed with the grounded theory analysis as described by Paillé (1994). Findings suggest that home safety implies risk and protective factors, which are associated with (1) the person's characteristics; (2) the quality of the home environment; (3) the nature of the activities in which the individual engages. These dimensions are interrelated so that home incidents arise from a dynamic interaction between risk and protective factors. Home incidents therefore occur when the interaction between these dimensions is altered. Considering this situation, Occupational Therapists are well positioned to play a leading role and act as key contributors in the area of home safety in people with mental disorders.

  16. Bottom-up coarse-grained models that accurately describe the structure, pressure, and compressibility of molecular liquids

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

    Dunn, Nicholas J. H.; Noid, W. G., E-mail: wnoid@chem.psu.edu

    2015-12-28

    The present work investigates the capability of bottom-up coarse-graining (CG) methods for accurately modeling both structural and thermodynamic properties of all-atom (AA) models for molecular liquids. In particular, we consider 1, 2, and 3-site CG models for heptane, as well as 1 and 3-site CG models for toluene. For each model, we employ the multiscale coarse-graining method to determine interaction potentials that optimally approximate the configuration dependence of the many-body potential of mean force (PMF). We employ a previously developed “pressure-matching” variational principle to determine a volume-dependent contribution to the potential, U{sub V}(V), that approximates the volume-dependence of the PMF.more » We demonstrate that the resulting CG models describe AA density fluctuations with qualitative, but not quantitative, accuracy. Accordingly, we develop a self-consistent approach for further optimizing U{sub V}, such that the CG models accurately reproduce the equilibrium density, compressibility, and average pressure of the AA models, although the CG models still significantly underestimate the atomic pressure fluctuations. Additionally, by comparing this array of models that accurately describe the structure and thermodynamic pressure of heptane and toluene at a range of different resolutions, we investigate the impact of bottom-up coarse-graining upon thermodynamic properties. In particular, we demonstrate that U{sub V} accounts for the reduced cohesion in the CG models. Finally, we observe that bottom-up coarse-graining introduces subtle correlations between the resolution, the cohesive energy density, and the “simplicity” of the model.« less

  17. Mapping of Students’ Learning Progression Based on Mental Model in Magnetic Induction Concepts

    NASA Astrophysics Data System (ADS)

    Hamid, R.; Pabunga, D. B.

    2017-09-01

    The progress of student learning in a learning process has not been fully optimally observed by the teacher. The concept being taught is judged only at the end of learning as a product of thinking, and does not assess the mental processes that occur in students’ thinking. Facilitating students’ thinking through new phenomena can reveal students’ variation in thinking as a mental model of a concept, so that students who are assimilative and or accommodative can be identified in achieving their equilibrium of thought as well as an indicator of progressiveness in the students’ thinking stages. This research data is obtained from the written documents and interviews of students who were learned about the concept of magnetic induction through Constructivist Teaching Sequences (CTS) models. The results of this study indicate that facilitating the students’ thinking processes on the concept of magnetic induction contributes to increasing the number of students thinking within the "progressive change" category, and it can be said that the progress of student learning is more progressive after their mental models were facilitated through a new phenomena by teacher.

  18. Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations

    DOE PAGES

    Ray, Jaideep; Lefantzi, Sophia; Arunajatesan, Srinivasan; ...

    2016-05-31

    Reynolds-averaged Navier–Stokes models are not very accurate for high-Reynolds-number compressible jet-in-crossflow interactions. The inaccuracy arises from the use of inappropriate model parameters and model-form errors in the Reynolds-averaged Navier–Stokes model. In this study, the hypothesis is pursued that Reynolds-averaged Navier–Stokes predictions can be significantly improved by using parameters inferred from experimental measurements of a supersonic jet interacting with a transonic crossflow.

  19. Mediating mental models of metals: Acknowledging the priority of the learner's prior learning

    NASA Astrophysics Data System (ADS)

    Taber, Keith S.

    2003-09-01

    This paper describes the conceptualizations, or mental models, of the nature of the bonding and structure of metals of a group of U.K. college students. It is suggested that these mental models may be understood in terms of the students' prior learning about covalent and ionic bonding, and the prevalence of a common alternative conceptual framework for chemical bonding labeled the octet framework. This study illustrates the prominence of prior learning in channeling the interpretation of subsequent teaching, and highlights the significance of the decisions made by curriculum planners, textbook authors, and teachers on the order of presenting subject content, the degree of simplification of scientific models, and the selection and presentation of metaphors.

  20. External and Internal Representations in the Acquisition and Use of Knowledge: Visualization Effects on Mental Model Construction

    ERIC Educational Resources Information Center

    Schnotz, Wolfgang; Kurschner, Christian

    2008-01-01

    This article investigates whether different formats of visualizing information result in different mental models constructed in learning from pictures, whether the different mental models lead to different patterns of performance in subsequently presented tasks, and how these visualization effects can be modified by further external…

  1. A stepped-care model of post-disaster child and adolescent mental health service provision.

    PubMed

    McDermott, Brett M; Cobham, Vanessa E

    2014-01-01

    From a global perspective, natural disasters are common events. Published research highlights that a significant minority of exposed children and adolescents develop disaster-related mental health syndromes and associated functional impairment. Consistent with the considerable unmet need of children and adolescents with regard to psychopathology, there is strong evidence that many children and adolescents with post-disaster mental health presentations are not receiving adequate interventions. To critique existing child and adolescent mental health services (CAMHS) models of care and the capacity of such models to deal with any post-disaster surge in clinical demand. Further, to detail an innovative service response; a child and adolescent stepped-care service provision model. A narrative review of traditional CAMHS is presented. Important elements of a disaster response - individual versus community recovery, public health approaches, capacity for promotion and prevention and service reach are discussed and compared with the CAMHS approach. Difficulties with traditional models of care are highlighted across all levels of intervention; from the ability to provide preventative initiatives to the capacity to provide intense specialised posttraumatic stress disorder interventions. In response, our over-arching stepped-care model is advocated. The general response is discussed and details of the three tiers of the model are provided: Tier 1 communication strategy, Tier 2 parent effectiveness and teacher training, and Tier 3 screening linked to trauma-focused cognitive behavioural therapy. In this paper, we argue that traditional CAMHS are not an appropriate model of care to meet the clinical needs of this group in the post-disaster setting. We conclude with suggestions how improved post-disaster child and adolescent mental health outcomes can be achieved by applying an innovative service approach.

  2. Cultural competence in mental health care: a review of model evaluations

    PubMed Central

    Bhui, Kamaldeep; Warfa, Nasir; Edonya, Patricia; McKenzie, Kwame; Bhugra, Dinesh

    2007-01-01

    Background Cultural competency is now a core requirement for mental health professionals working with culturally diverse patient groups. Cultural competency training may improve the quality of mental health care for ethnic groups. Methods A systematic review that included evaluated models of professional education or service delivery. Results Of 109 potential papers, only 9 included an evaluation of the model to improve the cultural competency practice and service delivery. All 9 studies were located in North America. Cultural competency included modification of clinical practice and organizational performance. Few studies published their teaching and learning methods. Only three studies used quantitative outcomes. One of these showed a change in attitudes and skills of staff following training. The cultural consultation model showed evidence of significant satisfaction by clinicians using the service. No studies investigated service user experiences and outcomes. Conclusion There is limited evidence on the effectiveness of cultural competency training and service delivery. Further work is required to evaluate improvement in service users' experiences and outcomes. PMID:17266765

  3. Rethinking historical and cultural source of spontaneous mental models of water cycle: in the perspective of South Korea

    NASA Astrophysics Data System (ADS)

    Nam, Younkyeong

    2012-06-01

    This review explores Ben-Zvi Assaraf, Eshach, Orion, and Alamour's paper titled "Cultural Differences and Students' Spontaneous Models of the Water Cycle: A Case Study of Jewish and Bedouin Children in Israel" by examining how the authors use the concept of spontaneous mental models to explain cultural knowledge source of Bedouin children's mental model of water compared to Jewish children's mental model of water in nature. My response to Ben-Zvi Assaraf et al.'s work expands upon their explanations of the Bedouin children's cultural knowledge source. Bedouin children's mental model is based on their culture, religion, place of living and everyday life practices related to water. I suggest a different knowledge source for spontaneous mental model of water in nature based on unique history and traditions of South Korea where people think of water in nature in different ways. This forum also addresses how western science dominates South Korean science curriculum and ways of assessing students' conceptual understanding of scientific concepts. Additionally I argue that western science curriculum models could diminish Korean students' understanding of natural world which are based on Korean cultural ways of thinking about the natural world. Finally, I also suggest two different ways of considering this unique knowledge source for a more culturally relevant teaching Earth system education.

  4. An Accurate and Computationally Efficient Model for Membrane-Type Circular-Symmetric Micro-Hotplates

    PubMed Central

    Khan, Usman; Falconi, Christian

    2014-01-01

    Ideally, the design of high-performance micro-hotplates would require a large number of simulations because of the existence of many important design parameters as well as the possibly crucial effects of both spread and drift. However, the computational cost of FEM simulations, which are the only available tool for accurately predicting the temperature in micro-hotplates, is very high. As a result, micro-hotplate designers generally have no effective simulation-tools for the optimization. In order to circumvent these issues, here, we propose a model for practical circular-symmetric micro-hot-plates which takes advantage of modified Bessel functions, computationally efficient matrix-approach for considering the relevant boundary conditions, Taylor linearization for modeling the Joule heating and radiation losses, and external-region-segmentation strategy in order to accurately take into account radiation losses in the entire micro-hotplate. The proposed model is almost as accurate as FEM simulations and two to three orders of magnitude more computationally efficient (e.g., 45 s versus more than 8 h). The residual errors, which are mainly associated to the undesired heating in the electrical contacts, are small (e.g., few degrees Celsius for an 800 °C operating temperature) and, for important analyses, almost constant. Therefore, we also introduce a computationally-easy single-FEM-compensation strategy in order to reduce the residual errors to about 1 °C. As illustrative examples of the power of our approach, we report the systematic investigation of a spread in the membrane thermal conductivity and of combined variations of both ambient and bulk temperatures. Our model enables a much faster characterization of micro-hotplates and, thus, a much more effective optimization prior to fabrication. PMID:24763214

  5. Changing practice to support self-management and recovery in mental illness: application of an implementation model.

    PubMed

    Harris, Melanie; Jones, Phil; Heartfield, Marie; Allstrom, Mary; Hancock, Janette; Lawn, Sharon; Battersby, Malcolm

    2015-01-01

    Health services introducing practice changes need effective implementation methods. Within the setting of a community mental health service offering recovery-oriented psychosocial support for people with mental illness, we aimed to: (i) identify a well-founded implementation model; and (ii) assess its practical usefulness in introducing a new programme for recovery-oriented self-management support. We reviewed the literature to identify implementation models applicable to community mental health organisations, and that also had corresponding measurement tools. We used one of these models to inform organisational change strategies. The literature review showed few models with corresponding tools. The Promoting Action on Research Implementation in Health Services (PARIHS) model and the related Organisational Readiness to Change Assessment (ORCA) tool were used. The PARIHS proposes prerequisites for health service change and the ORCA measures the extent to which these prerequisites are present. Application of the ORCA at two time points during implementation of the new programme showed strategy-related gains for some prerequisites but not for others, reflecting observed implementation progress. Additional strategies to address target prerequisites could be drawn from the PARIHS model. The PARIHS model and ORCA tool have potential in designing and monitoring practice change strategies in community mental health organisations. Further practical use and testing of implementation models appears justified in overcoming barriers to change.

  6. An explanatory model for the concept of mental health in Iranian youth

    PubMed Central

    Chinekesh, Ahdieh; Hosseini, Seyed Ali; Mohammadi, Farahnaz; Motlagh, Mohammad Esmael; Baradaran Eftekhari, Monir; Djalalinia, Shirin; Ardalan, Gelayol

    2018-01-01

    Background: Mental health is considered as an integral and essential component of overall health. Its determinants and related factors are one of the most important research priorities, especially in adolescents and young people. Using a qualitative approach, the present study aimed to identify factors affecting the mental health of youth in Iran. Methods: In 2017, following content analysis principles, and using semi-structured in-depth interviews, we conducted a qualitative study exploring the opinions of young people about mental health. A targeted sampling method was used, and participants were young volunteers aged 18 to 30 who were selected from Tehran province, Iran. Inclusion criteria for participants was willingness to participate in the study, and ability to express their experiences. Data collection was done with individual in-depth interviews. According to the explanatory model, the interviews were directed toward the concept of mental health and path of causality and auxiliary behaviors. Results: 21 young adults participated, who met the study inclusion criteria, of whom 12 participants were male. Their mean age was 24.4 ± 0.41 years and their education varied from primary school to Master’s degree. Mental health was considered as mental well-being and a sense of satisfaction and efficacy, not only the presence of a disease or mental disorder. Based on the opinions of the interviewees, three factors of personal characteristics, family and society are involved in mental health. Individual factors were associated with behavioral and physical problems. One of the most important issues was revealed as tensions in societal and family conflicts. Economic problems and unemployment of young people were also extracted from the social factor. Conclusion: In Iran, social factors such as jobs for the unemployed and job security are considered as important determinants in the mental health of young people. PMID:29560255

  7. Do medical models of mental illness relate to increased or decreased stigmatization of mental illness among orthodox Jews?

    PubMed

    Pirutinsky, Steven; Rosen, Daniel D; Shapiro Safran, Rachel; Rosmarin, David H

    2010-07-01

    Research suggests that attributing mental illness to moral causes and perceiving it as dangerous relates to greater stigma, whereas belief in biomedical factors is associated with less. Within the family-centric Orthodox Jewish community, mental illness is perceived as a risk to family functioning and future generations, and is therefore stigmatizing of the individual and their family. Since biomedical models may exacerbate these concerns, we hypothesized that unlike within the general population, biological causal attributions would relate to increased stigma among Orthodox Jews. Consequently, we also examined the attitudinal correlates of stigmatization of obsessive-compulsive disorder within the Orthodox community, as measured by both social distance and family/marriage concerns. Results indicated that, unlike previous research, biological models were associated with greater marriage/family stigma, and did not predict less social distance. This suggests that biomedical approaches may increase salient aspects of stigma within the Orthodox community, and clinical practice should be sensitive to these concerns.

  8. Accurate modeling of defects in graphene transport calculations

    NASA Astrophysics Data System (ADS)

    Linhart, Lukas; Burgdörfer, Joachim; Libisch, Florian

    2018-01-01

    We present an approach for embedding defect structures modeled by density functional theory into large-scale tight-binding simulations. We extract local tight-binding parameters for the vicinity of the defect site using Wannier functions. In the transition region between the bulk lattice and the defect the tight-binding parameters are continuously adjusted to approach the bulk limit far away from the defect. This embedding approach allows for an accurate high-level treatment of the defect orbitals using as many as ten nearest neighbors while keeping a small number of nearest neighbors in the bulk to render the overall computational cost reasonable. As an example of our approach, we consider an extended graphene lattice decorated with Stone-Wales defects, flower defects, double vacancies, or silicon substitutes. We predict distinct scattering patterns mirroring the defect symmetries and magnitude that should be experimentally accessible.

  9. Accurate Modelling of Surface Currents and Internal Tides in a Semi-enclosed Coastal Sea

    NASA Astrophysics Data System (ADS)

    Allen, S. E.; Soontiens, N. K.; Dunn, M. B. H.; Liu, J.; Olson, E.; Halverson, M. J.; Pawlowicz, R.

    2016-02-01

    The Strait of Georgia is a deep (400 m), strongly stratified, semi-enclosed coastal sea on the west coast of North America. We have configured a baroclinic model of the Strait of Georgia and surrounding coastal waters using the NEMO ocean community model. We run daily nowcasts and forecasts and publish our sea-surface results (including storm surge warnings) to the web (salishsea.eos.ubc.ca/storm-surge). Tides in the Strait of Georgia are mixed and large. The baroclinic model and previous barotropic models accurately represent tidal sea-level variations and depth mean currents. The baroclinic model reproduces accurately the diurnal but not the semi-diurnal baroclinic tidal currents. In the Southern Strait of Georgia, strong internal tidal currents at the semi-diurnal frequency are observed. Strong semi-diurnal tides are also produced in the model, but are almost 180 degrees out of phase with the observations. In the model, in the surface, the barotropic and baroclinic tides reinforce, whereas the observations show that at the surface the baroclinic tides oppose the barotropic. As such the surface currents are very poorly modelled. Here we will present evidence of the internal tidal field from observations. We will discuss the generation regions of the tides, the necessary modifications to the model required to correct the phase, the resulting baroclinic tides and the improvements in the surface currents.

  10. An Investigation of Secondary Students' Mental Models of Climate Change and the Greenhouse Effect

    NASA Astrophysics Data System (ADS)

    Varela, Begoña; Sesto, Vanessa; García-Rodeja, Isabel

    2018-03-01

    There are several studies dealing with students' conceptions on climate change, but most of them refer to understanding before instruction. In contrast, this study investigates students' conceptions and describes the levels of sophistication of their mental models on climate change and the greenhouse effect. The participants were 40 secondary students (grade 7) in Spain. As a method of data collection, a questionnaire was designed with open-ended questions focusing on the mechanism, causes, and actions that could be useful in reducing climate change. Students completed the same questionnaire before and after instruction. The students' conceptions and mental models were identified by an inductive and iterative analysis of the participants' explanations. With regard to the students' conceptions, the results show that they usually link climate change to an increase in temperature, and they tend to mention, even after instruction, generic actions to mitigate climate change, such as not polluting. With regard to the students' mental models, the results show an evolution of models with little consistency and coherence, such as the models on level 1, towards higher levels of sophistication. The paper concludes with educational implications proposed for solving learning difficulties regarding the greenhouse effect and climate change.

  11. Place of family in recovery models for those with a mental illness.

    PubMed

    Reupert, Andrea; Maybery, Darryl; Cox, Merrilee; Scott Stokes, Eileen

    2015-12-01

    Within the context of mental illness, there is an acknowledgement that the social environment is critical to recovery. Nonetheless, how family roles and interactions are presented in recovery frameworks is unclear. This systematic review sought to: (i) identify how family is defined in recovery models, and (ii) synthesize how family relationships and roles are incorporated into recovery models for those with a mental illness. A systematic search of electronic databases was conducted for peer reviewed, English language papers published between 1980 to April 2013, from Ovid MEDLINE, PsycINFO, Proquest, CINAHL plus and Web of Knowledge. Studies were included if they presented a recovery framework and include primary data from people with a mental illness where family was incorporated. A narrative thematic analysis was conducted on the eligible 31 studies, using inductive, open coding techniques. Eight studies did not define what was meant by 'family' while 10 studies focused exclusively on an individual's relationships with parents; six papers collected parenting demographics. Family roles included being a (adult) child, parent, spouse and being part of a 'family'. Family interactions involved being passive recipients of family support, caring for elderly parents and children and reciprocal, give and take relationships. Family interactions and roles offer the opportunity to both facilitate and impede recovery. © 2015 Australian College of Mental Health Nurses Inc.

  12. Human resources and models of mental healthcare integration into primary and community care in India: Case studies of 72 programmes

    PubMed Central

    Maheedhariah, Meera S.; Ghani, Sarah; Raja, Anusha; Patel, Vikram

    2017-01-01

    Background Given the scarcity of specialist mental healthcare in India, diverse community mental healthcare models have evolved. This study explores and compares Indian models of mental healthcare delivered by primary-level workers (PHW), and health workers’ roles within these. We aim to describe current service delivery to identify feasible and acceptable models with potential for scaling up. Methods Seventy two programmes (governmental and non-governmental) across 12 states were visited. 246 PHWs, coordinators, leaders, specialists and other staff were interviewed to understand the programme structure, the model of mental health delivery and health workers’ roles. Data were analysed using framework analysis. Results Programmes were categorised using an existing framework of collaborative and non-collaborative models of primary mental healthcare. A new model was identified: the specialist community model, whereby PHWs are trained within specialist programmes to provide community support and treatment for those with severe mental disorders. Most collaborative and specialist community models used lay health workers rather than doctors. Both these models used care managers. PHWs and care managers received support often through multiple specialist and non-specialist organisations from voluntary and government sectors. Many projects still use a simple yet ineffective model of training without supervision (training and identification/referral models). Discussion and conclusion Indian models differ significantly to those in high-income countries—there are less professional PHWs used across all models. There is also intensive specialist involvement particularly in the community outreach and collaborative care models. Excessive reliance on specialists inhibits their scalability, though they may be useful in targeted interventions for severe mental disorders. We propose a revised framework of models based on our findings. The current priorities are to evaluate the

  13. Predictive models for suicidal thoughts and behaviors among Spanish University students: rationale and methods of the UNIVERSAL (University & mental health) project.

    PubMed

    Blasco, Maria Jesús; Castellví, Pere; Almenara, José; Lagares, Carolina; Roca, Miquel; Sesé, Albert; Piqueras, José Antonio; Soto-Sanz, Victoria; Rodríguez-Marín, Jesús; Echeburúa, Enrique; Gabilondo, Andrea; Cebrià, Ana Isabel; Miranda-Mendizábal, Andrea; Vilagut, Gemma; Bruffaerts, Ronny; Auerbach, Randy P; Kessler, Ronald C; Alonso, Jordi

    2016-05-04

    prevention programs for youth suicide and for improving early identification for high-risk students. The longitudinal design of this study will improve causal interpretation of analyzed associations, needed for generating and validating predictive models. It will represent the first results about suicidal thoughts and behaviors in the Spanish university population. The World Mental Health Survey collaboration will permit accurate cross-national comparisons.

  14. Using appreciative inquiry to facilitate implementation of the recovery model in mental health agencies.

    PubMed

    Clossey, Laurene; Mehnert, Kevin; Silva, Sara

    2011-11-01

    This article describes an organizational development tool called appreciative inquiry (AI) and its use in mental health to aid agencies implementing recovery model services. AI is a discursive tool with the power to shift dominant organizational cultures. Its philosophical underpinnings emphasize values consistent with recovery: community, empowerment, and positive focus. Recent research in the field of mental health demonstrates the salience of organizational cultural context in affecting new service adoption. This article explores how AI could be helpful in shifting an organization's culture to render it compatible with recovery through descriptions of two mental health centers' use of the tool. The experiences described indicate that AI, if used consistently, empowers staff. The article concludes with consideration of the implications of this empowerment for recovery model implementation and directions for future research.

  15. Accurate SHAPE-directed RNA secondary structure modeling, including pseudoknots.

    PubMed

    Hajdin, Christine E; Bellaousov, Stanislav; Huggins, Wayne; Leonard, Christopher W; Mathews, David H; Weeks, Kevin M

    2013-04-02

    A pseudoknot forms in an RNA when nucleotides in a loop pair with a region outside the helices that close the loop. Pseudoknots occur relatively rarely in RNA but are highly overrepresented in functionally critical motifs in large catalytic RNAs, in riboswitches, and in regulatory elements of viruses. Pseudoknots are usually excluded from RNA structure prediction algorithms. When included, these pairings are difficult to model accurately, especially in large RNAs, because allowing this structure dramatically increases the number of possible incorrect folds and because it is difficult to search the fold space for an optimal structure. We have developed a concise secondary structure modeling approach that combines SHAPE (selective 2'-hydroxyl acylation analyzed by primer extension) experimental chemical probing information and a simple, but robust, energy model for the entropic cost of single pseudoknot formation. Structures are predicted with iterative refinement, using a dynamic programming algorithm. This melded experimental and thermodynamic energy function predicted the secondary structures and the pseudoknots for a set of 21 challenging RNAs of known structure ranging in size from 34 to 530 nt. On average, 93% of known base pairs were predicted, and all pseudoknots in well-folded RNAs were identified.

  16. Mental models and human reasoning

    PubMed Central

    Johnson-Laird, Philip N.

    2010-01-01

    To be rational is to be able to reason. Thirty years ago psychologists believed that human reasoning depended on formal rules of inference akin to those of a logical calculus. This hypothesis ran into difficulties, which led to an alternative view: reasoning depends on envisaging the possibilities consistent with the starting point—a perception of the world, a set of assertions, a memory, or some mixture of them. We construct mental models of each distinct possibility and derive a conclusion from them. The theory predicts systematic errors in our reasoning, and the evidence corroborates this prediction. Yet, our ability to use counterexamples to refute invalid inferences provides a foundation for rationality. On this account, reasoning is a simulation of the world fleshed out with our knowledge, not a formal rearrangement of the logical skeletons of sentences. PMID:20956326

  17. Mental models for cognitive control

    NASA Astrophysics Data System (ADS)

    Schilling, Malte; Cruse, Holk; Schmitz, Josef

    2007-05-01

    Even so called "simple" organisms as insects are able to fastly adapt to changing conditions of their environment. Their behaviour is affected by many external influences and only its variability and adaptivity permits their survival. An intensively studied example concerns hexapod walking. 1,2 Complex walking behaviours in stick insects have been analysed and the results were used to construct a reactive model that controls walking in a robot. This model is now extended by higher levels of control: as a bottom-up approach the low-level reactive behaviours are modulated and activated through a medium level. In addition, the system grows up to an upper level for cognitive control of the robot: Cognition - as the ability to plan ahead - and cognitive skills involve internal representations of the subject itself and its environment. These representations are used for mental simulations: In difficult situations, for which neither motor primitives, nor whole sequences of these exist, available behaviours are varied and applied in the internal model while the body itself is decoupled from the controlling modules. The result of the internal simulation is evaluated. Successful actions are learned and applied to the robot. This constitutes a level for planning. Its elements (movements, behaviours) are embodied in the lower levels, whereby their meaning arises directly from these levels. The motor primitives are situation models represented as neural networks. The focus of this work concerns the general architecture of the framework as well as the reactive basic layer of the bottom-up architecture and its connection to higher level functions and its application on an internal model.

  18. Artist-Teachers' In-Action Mental Models While Teaching Visual Arts

    ERIC Educational Resources Information Center

    Russo-Zimet, Gila

    2017-01-01

    Studies have examined the assumption that teachers have previous perceptions, beliefs and knowledge about learning (Cochran-Smith & Villegas, 2015). This study presented the In-Action Mental Model of twenty leading artist-teachers while teaching Visual Arts in three Israeli art institutions of higher Education. Data was collected in two…

  19. Private Schooling and Mental Models about Girls' Schooling in India

    ERIC Educational Resources Information Center

    Srivastava, Prachi

    2006-01-01

    This paper presents disadvantaged households' "mental models" about low-fee private (LFP) schooling for their daughters in a study in Lucknow District, Uttar Pradesh. It argues that assumptions in the dominant discourse on girls' schooling in India obscure the complex negotiations and trade-offs disadvantaged families make when…

  20. Teachers' Practices and Mental Models: Transformation through Reflection on Action

    ERIC Educational Resources Information Center

    Manrique, María Soledad; Sánchez Abchi, Verónica

    2015-01-01

    This contribution explores the relationship between teaching practices, teaching discourses and teachers' implicit representations and mental models and the way these dimensions change through teacher education (T.E). In order to study these relationships, and based on the assumptions that representations underlie teaching practices and that T.E…

  1. Accurate coarse-grained models for mixtures of colloids and linear polymers under good-solvent conditions

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

    D’Adamo, Giuseppe, E-mail: giuseppe.dadamo@sissa.it; Pelissetto, Andrea, E-mail: andrea.pelissetto@roma1.infn.it; Pierleoni, Carlo, E-mail: carlo.pierleoni@aquila.infn.it

    2014-12-28

    A coarse-graining strategy, previously developed for polymer solutions, is extended here to mixtures of linear polymers and hard-sphere colloids. In this approach, groups of monomers are mapped onto a single pseudoatom (a blob) and the effective blob-blob interactions are obtained by requiring the model to reproduce some large-scale structural properties in the zero-density limit. We show that an accurate parametrization of the polymer-colloid interactions is obtained by simply introducing pair potentials between blobs and colloids. For the coarse-grained (CG) model in which polymers are modelled as four-blob chains (tetramers), the pair potentials are determined by means of the iterative Boltzmannmore » inversion scheme, taking full-monomer (FM) pair correlation functions at zero-density as targets. For a larger number n of blobs, pair potentials are determined by using a simple transferability assumption based on the polymer self-similarity. We validate the model by comparing its predictions with full-monomer results for the interfacial properties of polymer solutions in the presence of a single colloid and for thermodynamic and structural properties in the homogeneous phase at finite polymer and colloid density. The tetramer model is quite accurate for q ≲ 1 (q=R{sup ^}{sub g}/R{sub c}, where R{sup ^}{sub g} is the zero-density polymer radius of gyration and R{sub c} is the colloid radius) and reasonably good also for q = 2. For q = 2, an accurate coarse-grained description is obtained by using the n = 10 blob model. We also compare our results with those obtained by using single-blob models with state-dependent potentials.« less

  2. Internet information-seeking in mental health: population survey.

    PubMed

    Powell, John; Clarke, Aileen

    2006-09-01

    A major use of the of the internet is for health information-seeking. There has been little research into its use in relation to mental health. To investigate the prevalence of internet use for mental health information-seeking and its relative importance as a mental health information source. General population survey. Questions covered internet use, past psychiatric history and the 12-item General Health Questionnaire. Eighteen per cent of all internet users had used the internet for information related to mental health. The prevalence was higher among those with a past history of mental health problems and those with current psychological distress. Only 12% of respondents selected the internet as one of the three most accurate sources of information, compared with 24% who responded that it was one of the three sources they would use. The internet has a significant role in mental health information-seeking. The internet is used more than it is trusted.

  3. Development of an Anatomically Accurate Finite Element Human Ocular Globe Model for Blast-Related Fluid-Structure Interaction Studies

    DTIC Science & Technology

    2017-02-01

    ARL-TR-7945 ● FEB 2017 US Army Research Laboratory Development of an Anatomically Accurate Finite Element Human Ocular Globe...ARL-TR-7945 ● FEB 2017 US Army Research Laboratory Development of an Anatomically Accurate Finite Element Human Ocular Globe Model... Finite Element Human Ocular Globe Model for Blast-Related Fluid-Structure Interaction Studies 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM

  4. The Resource Team: an innovative service delivery support model for mental health services.

    PubMed

    O'Sullivan, Julie; Powell, Jacinta; Gibbon, Peter; Emmerson, Brett

    2009-04-01

    This paper outlines the development of the Resource Team, an innovative service delivery model supporting clinical services at the Inner North Brisbane Mental Health Service, Royal Brisbane and Women's Hospital Health Service District. The team aims to provide a base for specialist mental health support staff, improve knowledge management and support the development of meaningful community partnerships. Development of the team included a literature review and consultation with internal and external stakeholders. From this, the objectives, roles and functions of the team were clarified and disseminated to stakeholders. The team currently encompasses 12 positions and has initiated a number of programs and service developments. These include improved IT management of clinical resources and the development of partnerships with the community and non-government sectors. The Resource Team effectively coordinates specialist clinical support positions, addresses knowledge management issues and facilitates meaningful engagement with the community and non-government sectors. The model could easily be applied in other mental health and general health services.

  5. Models of Mental Functioning

    DTIC Science & Technology

    1989-05-14

    Mental Retardation. Detterman, D. K. (in press). Common challenges in understanding human and artificial intelligence. [Review of Creative Intelligences...Limited. Sternberg, R. J., & Detterman, D. K. (1988). Oue es la inteligencia ? Enfoque actual de su naturaleza y definicion. Translation of What is

  6. Mental Models and Creative Problem-Solving: The Relationship of Objective and Subjective Model Attributes

    ERIC Educational Resources Information Center

    Mumford, Michael D.; Hester, Kimberly S.; Robledo, Issac C.; Peterson, David R.; Day, Eric A.; Hougen, Dean F.; Barrett, Jamie D.

    2012-01-01

    Knowledge, or expertise, has been held to contribute to creative problem-solving. In this effort, the relationship of one form of knowledge, mental models, to creative problem-solving was assessed. Undergraduates were asked to solve either a marketing or an education problem calling for creative thought. Prior to generating solutions to these…

  7. How People with Depression Receive and Perceive Mental Illness Information: Findings from the Australian National Survey of Mental Health and Wellbeing.

    PubMed

    Graham, Annette L; Hasking, Penelope; Clarke, David; Meadows, Graham

    2015-11-01

    Despite the recognised importance of accurate mental illness information in help-seeking and improving recovery, little is known about the dissemination of such information to people with depression. With a view to informing effective communication to those most in need, we explored the extent to which mental illness information is received by people with depression, its perceived helpfulness and we characterise those who do not receive such information. Using data from the Australian National Survey of Mental Health and Wellbeing we observed that mental illness information was received by 54.7 % of those with depression. Most (76.7 %) found it helpful. Pamphlets were the most frequently cited source of information. People who did not receive information were less educated, unlikely to have accessed mental health services and unlikely to believe they had mental health needs. Targeted information campaigns which shape perceptions of need in relation to depression have the potential to reduce the resultant disease burden.

  8. A Review of Contemporary Ethical Decision-Making Models for Mental Health Professionals

    ERIC Educational Resources Information Center

    Francis, Perry C.

    2015-01-01

    Mental health professionals are faced with increasingly complex ethical decisions that are impacted by culture, personal and professional values, and the contexts in which they and their clients inhabit. This article presents the reasons for developing and implementing multiple ethical decision making models and reviews four models that address…

  9. The burden of mental disorders: a comparison of methods between the Australian burden of disease studies and the Global Burden of Disease study.

    PubMed Central

    Vos, T.; Mathers, C. D.

    2000-01-01

    The national and Victorian burden of disease studies in Australia set out to examine critically the methods used in the Global Burden of Disease study to estimate the burden of mental disorders. The main differences include the use of a different set of disability weights allowing estimates in greater detail by level of severity, adjustments for comorbidity between mental disorders, a greater number of mental disorders measured, and modelling of substance use disorders, anxiety disorders and bipolar disorder as chronic conditions. Uniform age-weighting in the Australian studies produces considerably lower estimates of the burden due to mental disorders in comparison with age-weighted disability-adjusted life years. A lack of follow-up data on people with mental disorders who are identified in cross-sectional surveys poses the greatest challenge in determining the burden of mental disorders more accurately. PMID:10885161

  10. Accurate, efficient, and (iso)geometrically flexible collocation methods for phase-field models

    NASA Astrophysics Data System (ADS)

    Gomez, Hector; Reali, Alessandro; Sangalli, Giancarlo

    2014-04-01

    We propose new collocation methods for phase-field models. Our algorithms are based on isogeometric analysis, a new technology that makes use of functions from computational geometry, such as, for example, Non-Uniform Rational B-Splines (NURBS). NURBS exhibit excellent approximability and controllable global smoothness, and can represent exactly most geometries encapsulated in Computer Aided Design (CAD) models. These attributes permitted us to derive accurate, efficient, and geometrically flexible collocation methods for phase-field models. The performance of our method is demonstrated by several numerical examples of phase separation modeled by the Cahn-Hilliard equation. We feel that our method successfully combines the geometrical flexibility of finite elements with the accuracy and simplicity of pseudo-spectral collocation methods, and is a viable alternative to classical collocation methods.

  11. A crisis recovery model for adolescents with severe mental health problems.

    PubMed

    Kaplan, Tony; Racussen, Lisa

    2013-04-01

    A model of intervention at the interface and for the in-patient phase for adolescents with severe mental health crises was developed to reduce length of stay while maintaining quality of service consonant with the 'recovery model'. The model is described, and discussed in the context of the limited literature on both crisis intervention with adolescents and families, and 'recovery' in this age-group. The model may be suitable also for use by community teams dealing with adolescents in crisis.

  12. Atheism and mental health.

    PubMed

    Whitley, Rob

    2010-01-01

    The exploration of the impact of religiosity on mental health is an enduring, if somewhat quiet, tradition. There has been virtually no exploration, however, of the influence of atheism on mental health. Though not a "religion," atheism can be an orienting worldview that is often consciously chosen by its adherents, who firmly believe in the "truth" of atheism-a phenomenon known as "positive atheism." Atheism, especially positive atheism, is currently enjoying something of a renaissance in the Western liberal democracies-a trend often referred to as the "new atheism." I argue that atheism, especially positive atheism, should be treated as a meaningful sociocultural variable in the study of mental health. I argue that atheism (just like theism) is an appropriate domain of study for social and cultural psychiatrists (and allied social scientists) interested in exploring socio-environmental stressors and buffers relating to mental health. Specifically, I argue that (1) atheism needs to be accurately measured as an individual-level exposure variable, with the aim of relating that variable to psychiatric outcomes, (2) there needs to be greater systematic investigation into the influence of atheism on psychiatry as an institution, and (3) the relation of atheism to mental health needs to be explored by examining atheistic theory and its practical application, especially as it relates to the human condition, suffering, and concepts of personhood.

  13. Psychiatric Comorbidity in Autism Spectrum Disorder: Correspondence between Mental Health Clinician Report and Structured Parent Interview

    ERIC Educational Resources Information Center

    Stadnick, Nicole; Chlebowski, Colby; Baker-Ericzén, Mary; Dyson, Margaret; Garland, Ann; Brookman-Frazee, Lauren

    2017-01-01

    Publicly funded mental health services are critical in caring for children with autism spectrum disorder. Accurate identification of psychiatric comorbidity is necessary for effective mental health treatment. Little is known about psychiatric diagnosis for this population in routine mental health care. This study (1) examined correspondence…

  14. Interagency collaboration models for people with mental ill health in contact with the police: a systematic scoping review

    PubMed Central

    Scantlebury, Arabella; Booth, Alison; MacBryde, Jillian Catherine; Scott, William J; Wright, Kath

    2018-01-01

    Objective To identify existing evidence on interagency collaboration between law enforcement, emergency services, statutory services and third sector agencies regarding people with mental ill health. Design Systematic scoping review. Scoping reviews map particular research areas to identify research gaps. Data sources and eligibility ASSIA, CENTRAL, the Cochrane Library databases, Criminal Justice Abstracts, ERIC, Embase, MEDLINE, PsycINFO, PROSPERO and Social Care Online and Social Sciences Citation Index were searched up to 2017, as were grey literature and hand searches. Eligible articles were empirical evaluations or descriptions of models of interagency collaboration between the police and other agencies. Study appraisal and synthesis Screening and data extraction were undertaken independently by two researchers. Arksey’s framework was used to collate and map included studies. Results One hundred and twenty-five studies were included. The majority of articles were of descriptions of models (28%), mixed methods evaluations of models (18%) and single service evaluations (14%). The most frequently reported outcomes (52%) were ‘organisational or service level outcomes’ (eg, arrest rates). Most articles (53%) focused on adults with mental ill health, whereas others focused on adult offenders with mental ill health (17.4%). Thirteen models of interagency collaboration were described, each involving between 2 and 13 agencies. Frequently reported models were ‘prearrest diversion’ of people with mental ill health (34%), ‘coresponse’ involving joint response by police officers paired with mental health professionals (28.6%) and ‘jail diversion’ following arrest (23.8%). Conclusions We identified 13 different interagency collaboration models catering for a range of mental health-related interactions. All but one of these models involved the police and mental health services or professionals. Several models have sufficient literature to warrant full

  15. Interagency collaboration models for people with mental ill health in contact with the police: a systematic scoping review.

    PubMed

    Parker, Adwoa; Scantlebury, Arabella; Booth, Alison; MacBryde, Jillian Catherine; Scott, William J; Wright, Kath; McDaid, Catriona

    2018-03-27

    To identify existing evidence on interagency collaboration between law enforcement, emergency services, statutory services and third sector agencies regarding people with mental ill health. Systematic scoping review. Scoping reviews map particular research areas to identify research gaps. ASSIA, CENTRAL, the Cochrane Library databases, Criminal Justice Abstracts, ERIC, Embase, MEDLINE, PsycINFO, PROSPERO and Social Care Online and Social Sciences Citation Index were searched up to 2017, as were grey literature and hand searches. Eligible articles were empirical evaluations or descriptions of models of interagency collaboration between the police and other agencies. Screening and data extraction were undertaken independently by two researchers. Arksey's framework was used to collate and map included studies. One hundred and twenty-five studies were included. The majority of articles were of descriptions of models (28%), mixed methods evaluations of models (18%) and single service evaluations (14%). The most frequently reported outcomes (52%) were 'organisational or service level outcomes' (eg, arrest rates). Most articles (53%) focused on adults with mental ill health, whereas others focused on adult offenders with mental ill health (17.4%). Thirteen models of interagency collaboration were described, each involving between 2 and 13 agencies. Frequently reported models were 'prearrest diversion' of people with mental ill health (34%), 'coresponse' involving joint response by police officers paired with mental health professionals (28.6%) and 'jail diversion' following arrest (23.8%). We identified 13 different interagency collaboration models catering for a range of mental health-related interactions. All but one of these models involved the police and mental health services or professionals. Several models have sufficient literature to warrant full systematic reviews of their effectiveness, whereas others need robust evaluation, by randomised controlled trial where

  16. College Chemistry Students' Mental Models of Acids and Acid Strength

    ERIC Educational Resources Information Center

    McClary, LaKeisha; Talanquer, Vicente

    2011-01-01

    The central goal of this study was to characterize the mental models of acids and acid strength expressed by advanced college chemistry students when engaged in prediction, explanation, and justification tasks that asked them to rank chemical compounds based on their relative acid strength. For that purpose we completed a qualitative research…

  17. BEYOND ELLIPSE(S): ACCURATELY MODELING THE ISOPHOTAL STRUCTURE OF GALAXIES WITH ISOFIT AND CMODEL

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

    Ciambur, B. C., E-mail: bciambur@swin.edu.au

    2015-09-10

    This work introduces a new fitting formalism for isophotes that enables more accurate modeling of galaxies with non-elliptical shapes, such as disk galaxies viewed edge-on or galaxies with X-shaped/peanut bulges. Within this scheme, the angular parameter that defines quasi-elliptical isophotes is transformed from the commonly used, but inappropriate, polar coordinate to the “eccentric anomaly.” This provides a superior description of deviations from ellipticity, better capturing the true isophotal shape. Furthermore, this makes it possible to accurately recover both the surface brightness profile, using the correct azimuthally averaged isophote, and the two-dimensional model of any galaxy: the hitherto ubiquitous, but artificial,more » cross-like features in residual images are completely removed. The formalism has been implemented into the Image Reduction and Analysis Facility tasks Ellipse and Bmodel to create the new tasks “Isofit,” and “Cmodel.” The new tools are demonstrated here with application to five galaxies, chosen to be representative case-studies for several areas where this technique makes it possible to gain new scientific insight. Specifically: properly quantifying boxy/disky isophotes via the fourth harmonic order in edge-on galaxies, quantifying X-shaped/peanut bulges, higher-order Fourier moments for modeling bars in disks, and complex isophote shapes. Higher order (n > 4) harmonics now become meaningful and may correlate with structural properties, as boxyness/diskyness is known to do. This work also illustrates how the accurate construction, and subtraction, of a model from a galaxy image facilitates the identification and recovery of over-lapping sources such as globular clusters and the optical counterparts of X-ray sources.« less

  18. Modeling the human mental lexicon with self-organizing feature maps

    NASA Astrophysics Data System (ADS)

    Wittenburg, Peter; Frauenfelder, Uli H.

    1992-10-01

    Recent efforts to model the remarkable ability of humans to recognize speech and words are described. Different techniques including the use of neural nets for representing phonological similarity between words in the lexicon with self organizing algorithms are discussed. Simulations using the standard Kohonen algorithm are presented to illustrate some problems confronted with this technique in modeling similarity relations of form in the human mental lexicon. Alternative approaches that can potentially deal with some of these limitations are sketched.

  19. The influence of instructional interactions on students’ mental models about the quantization of physical observables: a modern physics course case

    NASA Astrophysics Data System (ADS)

    Didiş Körhasan, Nilüfer; Eryılmaz, Ali; Erkoç, Şakir

    2016-01-01

    Mental models are coherently organized knowledge structures used to explain phenomena. They interact with social environments and evolve with the interaction. Lacking daily experience with phenomena, the social interaction gains much more importance. In this part of our multiphase study, we investigate how instructional interactions influenced students’ mental models about the quantization of physical observables. Class observations and interviews were analysed by studying students’ mental models constructed in a modern physics course during an academic semester. The research revealed that students’ mental models were influenced by (1) the manner of teaching, including instructional methodologies and content specific techniques used by the instructor, (2) order of the topics and familiarity with concepts, and (3) peers.

  20. Dominant vs. nondominant arm advantage in mentally simulated actions in right handers.

    PubMed

    Gandrey, Philippe; Paizis, Christos; Karathanasis, Vassilis; Gueugneau, Nicolas; Papaxanthis, Charalambos

    2013-12-01

    Although plentiful data are available regarding mental states involving the dominant-right arm, the evidence for the nondominant-left arm is sparse. Here, we investigated whether right-handers can generate accurate predictions with either the right or the left arm. Fifteen adults carried out actual and mental arm movements in two directions with varying inertial resistance (inertial anisotropy phenomenon). We recorded actual and mental movement times and used the degree of their similarity as an indicator for the accuracy of motor imagery/prediction process. We found timing correspondences (isochrony) between actual and mental right arm movements in both rightward (low inertia resistance) and leftward (high inertia resistance) directions. Timing similarities between actual and mental left arm movements existed for the leftward direction (low inertia resistance) but not for the rightward direction (high inertia resistance). We found similar results when participants reaching towards the midline of the workspace, a result that excludes a hemispace effect. Electromyographic analysis during mental movements showed that arm muscles remained inactivate, thus eliminating a muscle activation strategy that could explain intermanual differences. Furthermore, motor-evoked potentials enhancement in both right and left biceps brachii during mental actions indicated that subjects were actively engaged in mental movement simulation and that the disadvantage of the left arm cannot be attributed to the nonactivation of the right motor cortex. Our findings suggest that predictive mechanisms are more robust for the right than the left arm in right-handers. We discussed these findings from the perspective of the internal models theory and the dynamic-dominance hypothesis of laterality.

  1. Production of Accurate Skeletal Models of Domestic Animals Using Three-Dimensional Scanning and Printing Technology

    ERIC Educational Resources Information Center

    Li, Fangzheng; Liu, Chunying; Song, Xuexiong; Huan, Yanjun; Gao, Shansong; Jiang, Zhongling

    2018-01-01

    Access to adequate anatomical specimens can be an important aspect in learning the anatomy of domestic animals. In this study, the authors utilized a structured light scanner and fused deposition modeling (FDM) printer to produce highly accurate animal skeletal models. First, various components of the bovine skeleton, including the femur, the…

  2. [Shared decision-making in mental health care: a role model from youth mental health care].

    PubMed

    Westermann, G M A; Maurer, J M G

    2015-01-01

    In the communication and interaction between doctor and patient in Western health care there has been a paradigm shift from the paternalistic approach to shared decision-making. To summarise the background situation, recent developments and the current level of shared decision-making in (youth) mental health care. We conducted a critical review of the literature relating to the methodology development, research and the use of counselling and decision-making in mental health care. The majority of patients, professionals and other stakeholders consider shared decision-making to be desirable and important for improving the quality and efficiency of care. Up till recently most research and studies have concentrated on helping patients to develop decision-making skills and on showing patients how and where to access information. At the moment more attention is being given to the development of skills and circumstances that will increase patients' interaction with care professionals and patients' emotional involvement in shared decision-making. In mental health for children and adolescents, more often than in adult mental health care, it has been customary to give more attention to these aspects of shared decision-making, particularly during counselling sessions that mark the transition from diagnosis to treatment. This emphasis has been apparent for a long time in textbooks, daily practice, methodology development and research in youth mental health care. Currently, a number of similar developments are taking place in adult mental health care. Although most health professionals support the policy of shared decision-making, the implementation of the policy in mental health care is still at an early stage. In practice, a number of obstacles still have to be surmounted. However, the experience gained with counselling and decision-making in (youth) mental health care may serve as an example to other sections of mental health care and play an important role in the further

  3. A prison mental health in-reach model informed by assertive community treatment principles: evaluation of its impact on planning during the pre-release period, community mental health service engagement and reoffending.

    PubMed

    McKenna, Brian; Skipworth, Jeremy; Tapsell, Rees; Madell, Dominic; Pillai, Krishna; Simpson, Alexander; Cavney, James; Rouse, Paul

    2015-12-01

    It is well recognised that prisoners with serious mental illness (SMI) are at high risk of poor outcomes on return to the community. Early engagement with mental health services and other community agencies could provide the substrate for reducing risk. To evaluate the impact of implementing an assertive community treatment informed prison in-reach model of care (PMOC) on post-release engagement with community mental health services and on reoffending rates. One hundred and eighty prisoners with SMI released from four prisons in the year before implementation of the PMOC were compared with 170 such prisoners released the year after its implementation. The assertive prison model of care was associated with more pre-release contacts with community mental health services and contacts with some social care agencies in some prisons. There were significantly more post-release community mental health service engagements after implementation of this model (Z = -2.388, p = 0.02). There was a trend towards reduction in reoffending rates after release from some of the prisons (Z =1.82, p = 0.07). Assertive community treatment applied to prisoners with mental health problems was superior to 'treatment as usual', but more work is needed to ensure that agencies will engage prisoners in pre-release care. The fact that the model showed some benefits in the absence of any increase in resources suggests that it may be the model per se that is effective. Copyright © 2014 John Wiley & Sons, Ltd.

  4. A test of the vulnerability model: temperament and temperament change as predictors of future mental disorders - the TRAILS study.

    PubMed

    Laceulle, Odilia M; Ormel, Johan; Vollebergh, Wilma A M; van Aken, Marcel A G; Nederhof, Esther

    2014-03-01

    This study aimed to test the vulnerability model of the relationship between temperament and mental disorders using a large sample of adolescents from the TRacking Adolescents Individual Lives' Survey (TRAILS). The vulnerability model argues that particular temperaments can place individuals at risk for the development of mental health problems. Importantly, the model may imply that not only baseline temperament predicts mental health problems prospectively, but additionally, that changes in temperament predict corresponding changes in risk for mental health problems. Data were used from 1195 TRAILS participants. Adolescent temperament was assessed both at age 11 and at age 16. Onset of mental disorders between age 16 and 19 was assessed at age 19, by means of the World Health Organization Composite International Diagnostic Interview (WHO CIDI). Results showed that temperament at age 11 predicted future mental disorders, thereby providing support for the vulnerability model. Moreover, temperament change predicted future mental disorders above and beyond the effect of basal temperament. For example, an increase in frustration increased the risk of mental disorders proportionally. This study confirms, and extends, the vulnerability model. Consequences of both temperament and temperament change were general (e.g., changes in frustration predicted both internalizing and externalizing disorders) as well as dimension specific (e.g., changes in fear predicted internalizing but not externalizing disorders). These findings confirm previous studies, which showed that mental disorders have both unique and shared underlying temperamental risk factors. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

  5. Modeling the Factors Associated with Children's Mental Health Difficulties in Primary School: A Multilevel Study

    ERIC Educational Resources Information Center

    Humphrey, Neil; Wigelsworth, Michael

    2012-01-01

    The current study explores some of the factors associated with children's mental health difficulties in primary school. Multilevel modeling with data from 628 children from 36 schools was used to determine how much variation in mental health difficulties exists between and within schools, and to identify characteristics at the school and…

  6. A model-updating procedure to stimulate piezoelectric transducers accurately.

    PubMed

    Piranda, B; Ballandras, S; Steichen, W; Hecart, B

    2001-09-01

    The use of numerical calculations based on finite element methods (FEM) has yielded significant improvements in the simulation and design of piezoelectric transducers piezoelectric transducer utilized in acoustic imaging. However, the ultimate precision of such models is directly controlled by the accuracy of material characterization. The present work is dedicated to the development of a model-updating technique adapted to the problem of piezoelectric transducer. The updating process is applied using the experimental admittance of a given structure for which a finite element analysis is performed. The mathematical developments are reported and then applied to update the entries of a FEM of a two-layer structure (a PbZrTi-PZT-ridge glued on a backing) for which measurements were available. The efficiency of the proposed approach is demonstrated, yielding the definition of a new set of constants well adapted to predict the structure response accurately. Improvement of the proposed approach, consisting of the updating of material coefficients not only on the admittance but also on the impedance data, is finally discussed.

  7. Accurate modeling of switched reluctance machine based on hybrid trained WNN

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

    Song, Shoujun, E-mail: sunnyway@nwpu.edu.cn; Ge, Lefei; Ma, Shaojie

    2014-04-15

    According to the strong nonlinear electromagnetic characteristics of switched reluctance machine (SRM), a novel accurate modeling method is proposed based on hybrid trained wavelet neural network (WNN) which combines improved genetic algorithm (GA) with gradient descent (GD) method to train the network. In the novel method, WNN is trained by GD method based on the initial weights obtained per improved GA optimization, and the global parallel searching capability of stochastic algorithm and local convergence speed of deterministic algorithm are combined to enhance the training accuracy, stability and speed. Based on the measured electromagnetic characteristics of a 3-phase 12/8-pole SRM, themore » nonlinear simulation model is built by hybrid trained WNN in Matlab. The phase current and mechanical characteristics from simulation under different working conditions meet well with those from experiments, which indicates the accuracy of the model for dynamic and static performance evaluation of SRM and verifies the effectiveness of the proposed modeling method.« less

  8. Addressing homelessness among people with mental illnesses: a model of long-term philanthropic effectiveness.

    PubMed

    Brousseau, Ruth Tebbets

    2009-01-01

    Foundations are often criticized for their short attention spans and inability to continue funding the toughest social problems. Homelessness among people with mental illnesses is considered among the most intractable of social issues. This paper explores the role of permanent supportive housing in reducing homelessness among the mentally ill; the role of the Corporation for Supportive Housing in developing, authenticating, and disseminating its model; and its long-term funding relationship with the Conrad N. Hilton Foundation, which has facilitated this trajectory. The paper tells the story of how long-term funding, strategically used, is making inroads into this serious mental health problem.

  9. Mental model mapping as a new tool to analyse the use of information in decision-making in integrated water management

    NASA Astrophysics Data System (ADS)

    Kolkman, M. J.; Kok, M.; van der Veen, A.

    The solution of complex, unstructured problems is faced with policy controversy and dispute, unused and misused knowledge, project delay and failure, and decline of public trust in governmental decisions. Mental model mapping (also called concept mapping) is a technique to analyse these difficulties on a fundamental cognitive level, which can reveal experiences, perceptions, assumptions, knowledge and subjective beliefs of stakeholders, experts and other actors, and can stimulate communication and learning. This article presents the theoretical framework from which the use of mental model mapping techniques to analyse this type of problems emerges as a promising technique. The framework consists of the problem solving or policy design cycle, the knowledge production or modelling cycle, and the (computer) model as interface between the cycles. Literature attributes difficulties in the decision-making process to communication gaps between decision makers, stakeholders and scientists, and to the construction of knowledge within different paradigm groups that leads to different interpretation of the problem situation. Analysis of the decision-making process literature indicates that choices, which are made in all steps of the problem solving cycle, are based on an individual decision maker’s frame of perception. This frame, in turn, depends on the mental model residing in the mind of the individual. Thus we identify three levels of awareness on which the decision process can be analysed. This research focuses on the third level. Mental models can be elicited using mapping techniques. In this way, analysing an individual’s mental model can shed light on decision-making problems. The steps of the knowledge production cycle are, in the same manner, ultimately driven by the mental models of the scientist in a specific discipline. Remnants of this mental model can be found in the resulting computer model. The characteristics of unstructured problems (complexity

  10. The Effects of a Simulation Game on Mental Models about Organizational Systems

    ERIC Educational Resources Information Center

    Reese, Rebecca M.

    2017-01-01

    This mixed methods study was designed to uncover evidence of change to mental models about organizational systems resulting from participation in a simulation game that is based on a system dynamics model. Thirty participants in a 2 day experiential workshop completed a pretest and posttest to assess learning about particular systems concepts.…

  11. Laterality effects in motor learning by mental practice in right-handers.

    PubMed

    Gentili, R J; Papaxanthis, C

    2015-06-25

    Converging evidences suggest that mental movement simulation and actual movement production share similar neurocognitive and learning processes. Although a large body of data is available in the literature regarding mental states involving the dominant arm, examinations for the nondominant arm are sparse. Does mental training, through motor-imagery practice, with the dominant arm or the nondominant arm is equally efficient for motor learning? In the current study, we investigated laterality effects in motor learning by motor-imagery practice. Four groups of right-hander adults mentally and physically performed as fast and accurately as possible (speed/accuracy trade-off paradigm) successive reaching movements with their dominant or nondominant arm (physical-training-dominant-arm, mental-training-dominant-arm, physical-training-nondominant-arm, and mental-training-nondominant-arm groups). Movement time was recorded and analyzed before, during, and after the training sessions. We found that physical and mental practice had a positive effect on the motor performance (i.e., decrease in movement time) of both arms through similar learning process (i.e., similar exponential learning curves). However, movement time reduction in the posttest session was significantly higher after physical practice than motor-imagery practice for both arms. More importantly, motor-imagery practice with the dominant arm resulted in larger and more robust improvements in movement speed compared to motor-imagery practice with the nondominant arm. No such improvements were observed in the control group. Our results suggest a superiority of the dominant arm in motor learning by mental practice. We discussed these findings from the perspective of the internal models theory. Copyright © 2015 IBRO. Published by Elsevier Ltd. All rights reserved.

  12. Mental Health Literacy Content for Children of Parents with a Mental Illness: Thematic Analysis of a Literature Review

    PubMed Central

    Riebschleger, Joanne; Grové, Christine; Cavanaugh, Daniel

    2017-01-01

    Millions of children have a parent with a mental illness (COPMI). These children are at higher risk of acquiring behavioural, developmental and emotional difficulties. Most children, including COPMI, have low levels of mental health literacy (MHL), meaning they do not have accurate, non-stigmatized information. There is limited knowledge about what kind of MHL content should be delivered to children. The aim of this exploratory study is to identify the knowledge content needed for general population children and COPMI to increase their MHL. A second aim is to explore content for emerging children’s MHL scales. Researchers created and analyzed a literature review database. Thematic analysis yielded five main mental health knowledge themes for children: (1) attaining an overview of mental illness and recovery; (2) reducing mental health stigma; (3) building developmental resiliencies; (4) increasing help-seeking capacities; and (5) identifying risk factors for mental illness. COPMI appeared to need the same kind of MHL knowledge content, but with extra family-contextual content such as dealing with stigma experiences, managing stress, and communicating about parental mental illness. There is a need for MHL programs, validated scales, and research on what works for prevention and early intervention with COPMI children. PMID:29072587

  13. Association between social capital, health-related quality of life, and mental health: a structural-equation modeling approach

    PubMed Central

    Hassanzadeh, Jafar; Asadi-Lari, Mohsen; Baghbanian, Abdolvahab; Ghaem, Haleh; Kassani, Aziz; Rezaianzadeh, Abbas

    2016-01-01

    Aim To explore the association(s) between demographic factors, socioeconomic status (SES), social capital, health-related quality of life (HRQoL), and mental health among residents of Tehran, Iran. Methods The pooled data (n = 31 519) were extracted from a population-based survey Urban Health Equity Assessment and Response Tool-2 (Urban HEART-2) conducted in Tehran in 2011. Mental health, social capital, and HRQoL were assessed using the 28-item General Health Questionnaire (GHQ-28), social capital questionnaire, and Short-Form Health Survey (SF-12), respectively. The study used a multistage sampling method. Social capital, HRQoL, and SES were considered as latent variables. The association between these latent variables, demographic factors, and mental health was determined by structural-equation modeling (SEM). Results The mean age and mental health score were 44.48 ± 15.87 years and 23.33 ± 11.10 (range, 0-84), respectively. The prevalence of mental disorders was 41.76% (95% confidence interval 41.21-42.30). The SEM model showed that age was directly associated with social capital (P = 0.016) and mental health (P = 0.001). Sex was indirectly related to mental health through social capital (P = 0.018). SES, HRQoL, and social capital were associated both directly and indirectly with mental health status. Conclusion This study suggests that changes in social capital and SES can lead to positive changes in mental health status and that individual and contextual determinants influence HRQoL and mental health. PMID:26935615

  14. A Comparison between Elementary School Students' Mental Models and Visualizations in Textbooks for the Concept of Atom

    ERIC Educational Resources Information Center

    Polat-Yaseen, Zeynep

    2012-01-01

    This study was designed for two major goals, which are to describe students' mental models about atom concept from 6th to 8th grade and to compare students' mental models with visual representations of atom in textbooks. Qualitative and quantitative data were collected with 4 open-ended questions including drawings which were quantified using the…

  15. Flying, Feathery and Beaked Objects: Children's Mental Models about Birds

    ERIC Educational Resources Information Center

    Ahi, Berat

    2016-01-01

    Purpose of this research is to state preschool students' mental model about birds by analyzing their drawing. This is a hermeneutical phenomenology research that is based on social constructivist philosophy. Typical case sampling method has used in order to form working group of this research. Working group consisting of 325 children who are in…

  16. Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness.

    PubMed

    Mangurian, Christina; Niu, Grace C; Schillinger, Dean; Newcomer, John W; Dilley, James; Handley, Margaret A

    2017-11-14

    Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10-25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary care and mental health services. Although evidence-based models exist for integrating mental health care into primary care settings, the evidence base for integrating medical care into specialty mental health settings is limited. Such models are referred to as "reverse" integration. In this paper, we describe the application of an implementation science framework in designing a model to improve CVD outcomes for individuals with severe mental illness (SMI) who receive services in a community mental health setting. Using principles from the theory of planned behavior, focus groups were conducted to understand stakeholder perspectives of barriers to CVD risk factor screening and treatment identify potential target behaviors. We then applied results to the overarching Behavior Change Wheel framework, a systematic and theory-driven approach that incorporates the COM-B model (capability, opportunity, motivation, and behavior), to build an intervention to improve CVD risk factor screening and treatment for people with SMI. Following a stepped approach from the Behavior Change Wheel framework, a model to deliver primary preventive care for people that use community mental health settings as their de facto health home was developed. The CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness) model focuses on engaging community psychiatrists to expand their scope of practice to become responsible for CVD risk, with significant clinical decision support. The CRANIUM model was designed by integrating behavioral change theory and implementation theory. CRANIUM is feasible to implement, is highly acceptable to, and

  17. A predictive model to allocate frequent service users of community-based mental health services to different packages of care.

    PubMed

    Grigoletti, Laura; Amaddeo, Francesco; Grassi, Aldrigo; Boldrini, Massimo; Chiappelli, Marco; Percudani, Mauro; Catapano, Francesco; Fiorillo, Andrea; Perris, Francesco; Bacigalupi, Maurizio; Albanese, Paolo; Simonetti, Simona; De Agostini, Paola; Tansella, Michele

    2010-01-01

    To develop predictive models to allocate patients into frequent and low service users groups within the Italian Community-based Mental Health Services (CMHSs). To allocate frequent users to different packages of care, identifying the costs of these packages. Socio-demographic and clinical data and GAF scores at baseline were collected for 1250 users attending five CMHSs. All psychiatric contacts made by these patients during six months were recorded. A logistic regression identified frequent service users predictive variables. Multinomial logistic regression identified variables able to predict the most appropriate package of care. A cost function was utilised to estimate costs. Frequent service users were 49%, using nearly 90% of all contacts. The model classified correctly 80% of users in the frequent and low users groups. Three packages of care were identified: Basic Community Treatment (4,133 Euro per six months); Intensive Community Treatment (6,180 Euro) and Rehabilitative Community Treatment (11,984 Euro) for 83%, 6% and 11% of frequent service users respectively. The model was found to be accurate for 85% of users. It is possible to develop predictive models to identify frequent service users and to assign them to pre-defined packages of care, and to use these models to inform the funding of psychiatric care.

  18. Mental health treatment outcomes in a humanitarian emergency: a pilot model for the integration of mental health into primary care in Habilla, Darfur.

    PubMed

    Souza, Renato; Yasuda, Silvia; Cristofani, Susanna

    2009-07-21

    There is no description of outcomes for patients receiving treatment for mental illnesses in humanitarian emergencies. MSF has developed a model for integration of mental health into primary care in a humanitarian emergency setting based on the capacity of community health workers, clinical officers and health counsellors under the supervision of a psychiatrist trainer. Our study aims to describe the characteristics of patients first attending mental health services and their outcomes on functionality after treatment. A total of 114 patients received mental health care and 81 adult patients were evaluated with a simplified functionality assessment instrument at baseline, one month and 3 months after initiation of treatment. Most patients were diagnosed with epilepsy (47%) and psychosis (31%) and had never received treatment. In terms of follow up, 58% came for consultations at 1 month and 48% at 3 months. When comparing disability levels at baseline versus 1 month, mean disability score decreased from 9.1 (95%CI 8.1-10.2) to 7.1 (95%CI 5.9-8.2) p = 0.0001. At 1 month versus 3 months, mean score further decreased to 5.8 (95%CI 4.6-7.0) p < 0.0001. The findings suggest that there is potential to integrate mental health into primary care in humanitarian emergency contexts. Patients with severe mental illness and epilepsy are in particular need of mental health care. Different strategies for integration of mental health into primary care in humanitarian emergency settings need to be compared in terms of simplicity and feasibility.

  19. Mental health treatment outcomes in a humanitarian emergency: a pilot model for the integration of mental health into primary care in Habilla, Darfur

    PubMed Central

    Souza, Renato; Yasuda, Silvia; Cristofani, Susanna

    2009-01-01

    Background There is no description of outcomes for patients receiving treatment for mental illnesses in humanitarian emergencies. MSF has developed a model for integration of mental health into primary care in a humanitarian emergency setting based on the capacity of community health workers, clinical officers and health counsellors under the supervision of a psychiatrist trainer. Our study aims to describe the characteristics of patients first attending mental health services and their outcomes on functionality after treatment. Methods A total of 114 patients received mental health care and 81 adult patients were evaluated with a simplified functionality assessment instrument at baseline, one month and 3 months after initiation of treatment. Results Most patients were diagnosed with epilepsy (47%) and psychosis (31%) and had never received treatment. In terms of follow up, 58% came for consultations at 1 month and 48% at 3 months. When comparing disability levels at baseline versus 1 month, mean disability score decreased from 9.1 (95%CI 8.1–10.2) to 7.1 (95%CI 5.9–8.2) p = 0.0001. At 1 month versus 3 months, mean score further decreased to 5.8 (95%CI 4.6–7.0) p < 0.0001. Conclusion The findings suggest that there is potential to integrate mental health into primary care in humanitarian emergency contexts. Patients with severe mental illness and epilepsy are in particular need of mental health care. Different strategies for integration of mental health into primary care in humanitarian emergency settings need to be compared in terms of simplicity and feasibility. PMID:19622151

  20. Accurate Induction Energies for Small Organic Molecules. 2. Development and Testing of Distributed Polarizability Models against SAPT(DFT) Energies.

    PubMed

    Misquitta, Alston J; Stone, Anthony J; Price, Sarah L

    2008-01-01

    In part 1 of this two-part investigation we set out the theoretical basis for constructing accurate models of the induction energy of clusters of moderately sized organic molecules. In this paper we use these techniques to develop a variety of accurate distributed polarizability models for a set of representative molecules that include formamide, N-methyl propanamide, benzene, and 3-azabicyclo[3.3.1]nonane-2,4-dione. We have also explored damping, penetration, and basis set effects. In particular, we have provided a way to treat the damping of the induction expansion. Different approximations to the induction energy are evaluated against accurate SAPT(DFT) energies, and we demonstrate the accuracy of our induction models on the formamide-water dimer.

  1. Homicidal maniacs and narcissistic parasites: stigmatization of mentally ill persons in the movies.

    PubMed

    Hyler, S E; Gabbard, G O; Schneider, I

    1991-10-01

    The portrayal of mentally ill persons in movies and television programs has an important and underestimated influence on public perceptions of their condition and care. Movie stereotypes that contribute to the stigmatization of mentally ill persons include the mental patient as rebellious free spirit, homicidal maniac, seductress, enlightened member of society, narcissistic parasite, and zoo specimen. The authors suggest that mental health professionals can fight this source of stigma by increasing their collaboration with patient advocacy groups in monitoring negative portrayals of mentally ill people, using public information campaigns such as Mental Illness Awareness Week to call attention to the process of stigmatization, and supporting accurate dramatic and documentary depictions of mental illness.

  2. Integrating Early Childhood Mental Health Consultation with the Pyramid Model. Issue Brief

    ERIC Educational Resources Information Center

    Perry, Deborah F.; Kaufmann, Roxane K.

    2009-01-01

    A growing number of states and communities are implementing the Pyramid Model in early care and education settings, and in many of these places there are also early childhood mental health consultation (ECMHC) programs operating. This policy brief provides an overview of ECMHC, how it can support the implementation of the Pyramid Model and the…

  3. The evaluative imaging of mental models - Visual representations of complexity

    NASA Technical Reports Server (NTRS)

    Dede, Christopher

    1989-01-01

    The paper deals with some design issues involved in building a system that could visually represent the semantic structures of training materials and their underlying mental models. In particular, hypermedia-based semantic networks that instantiate classification problem solving strategies are thought to be a useful formalism for such representations; the complexity of these web structures can be best managed through visual depictions. It is also noted that a useful approach to implement in these hypermedia models would be some metrics of conceptual distance.

  4. Mouse Models of Down Syndrome as a Tool to Unravel the Causes of Mental Disabilities

    PubMed Central

    Rueda, Noemí; Flórez, Jesús; Martínez-Cué, Carmen

    2012-01-01

    Down syndrome (DS) is the most common genetic cause of mental disability. Based on the homology of Hsa21 and the murine chromosomes Mmu16, Mmu17 and Mmu10, several mouse models of DS have been developed. The most commonly used model, the Ts65Dn mouse, has been widely used to investigate the neural mechanisms underlying the mental disabilities seen in DS individuals. A wide array of neuromorphological alterations appears to compromise cognitive performance in trisomic mice. Enhanced inhibition due to alterations in GABAA-mediated transmission and disturbances in the glutamatergic, noradrenergic and cholinergic systems, among others, has also been demonstrated. DS cognitive dysfunction caused by neurodevelopmental alterations is worsened in later life stages by neurodegenerative processes. A number of pharmacological therapies have been shown to partially restore morphological anomalies concomitantly with cognition in these mice. In conclusion, the use of mouse models is enormously effective in the study of the neurobiological substrates of mental disabilities in DS and in the testing of therapies that rescue these alterations. These studies provide the basis for developing clinical trials in DS individuals and sustain the hope that some of these drugs will be useful in rescuing mental disabilities in DS individuals. PMID:22685678

  5. Correlates of Mental Illness and Health Categories among Older Adults in China: An Empirical Study Based on the Two Continua Model.

    PubMed

    Jiang, Nan; Lu, Nan

    2018-04-30

    Keyes' two continua model is a useful concept in which mental health and mental illness exist on two separate axes. Based on this model, this study examined the prevalence and correlates of three mental health categories among older adults in China. Cross-sectional data were derived from Wave 1 of the Study on Global AGEing and Adult Health. Participants were categorized into complete mental health (CMH), complete mental illness (CMI), and moderate mental health (MMH) groups. Multinomial logistic regressions were used. The prevalence of CMH, CMI, and MMH in China was 18%, 16%, and 66%, respectively. Being female, unmarried, younger, and feeling unhealthy were more likely to result in placement in the CMI category. Employment, education, and cognitive function were identified as important protective factors of CMH. Age, income, urban or rural residence, and physical function difficulty were associated with all three categories. We demonstrated the utility of the two continua model in identifying mental health needs in Chinese contexts. The findings suggest that future policy reforms and clinical interventions should establish a more comprehensive mental health category as a screening tool nationwide. The promotion of social engagement could play an important role in treating mental illness and improving positive mental health.

  6. Conceptual and Developmental Analysis of Mental Models: An Example with Complex Change Problems.

    ERIC Educational Resources Information Center

    Poirier, Louise

    Defining better implicit models of children's actions in a series of situations is of paramount importance to understanding how knowledge is constructed. The objective of this study was to analyze the implicit mental models used by children in complex change problems to understand the stability of the models and their evolution with the child's…

  7. Toward an operational model of decision making, emotional regulation, and mental health impact.

    PubMed

    Collura, Thomas Francis; Zalaquett, Ronald P; Bonnstetter, Carlos Joyce; Chatters, Seria J

    2014-01-01

    Current brain research increasingly reveals the underlying mechanisms and processes of human behavior, cognition, and emotion. In addition to being of interest to a wide range of scientists, educators, and professionals, as well as laypeople, brain-based models are of particular value in a clinical setting. Psychiatrists, psychologists, counselors, and other mental health professionals are in need of operational models that integrate recent findings in the physical, cognitive, and emotional domains, and offer a common language for interdisciplinary understanding and communication. Based on individual traits, predispositions, and responses to stimuli, we can begin to identify emotional and behavioral pathways and mental processing patterns. The purpose of this article is to present a brain-path activation model to understand individual differences in decision making and psychopathology. The first section discusses the role of frontal lobe electroencephalography (EEG) asymmetry, summarizes state- and trait-based models of decision making, and provides a more complex analysis that supplements the traditional simple left-right brain model. Key components of the new model are the introduction of right hemisphere parallel and left hemisphere serial scanning in rendering decisions, and the proposition of pathways that incorporate both past experiences as well as future implications into the decision process. Main attributes of each decision-making mechanism are provided. The second section applies the model within the realm of clinical mental health as a tool to understand specific human behavior and pathology. Applications include general and chronic anxiety, depression, paranoia, risk taking, and the pathways employed when well-functioning operational integration is observed. Finally, specific applications such as meditation and mindfulness are offered to facilitate positive functioning.

  8. Team Knowledge Sharing Intervention Effects on Team Shared Mental Models and Student Performance in an Undergraduate Science Course

    ERIC Educational Resources Information Center

    Sikorski, Eric G.; Johnson, Tristan E.; Ruscher, Paul H.

    2012-01-01

    The purpose of this study was to examine the effects of a shared mental model (SMM) based intervention on student team mental model similarity and ultimately team performance in an undergraduate meteorology course. The team knowledge sharing (TKS) intervention was designed to promote team reflection, communication, and improvement planning.…

  9. Examining Teacher Mental Models for the Implementation of a STEM-Focused Curriculum Paradigm in Engineering and Technology Education

    ERIC Educational Resources Information Center

    Kerr, Janel M.

    2013-01-01

    The purpose of this study was to explore the role of mental models in Idaho's Engineering and Technology Education teachers' in decision making when faced with major curriculum changes. Senge (1990) defined mental models as, "deeply ingrained assumptions, generalizations, or even pictures or images that influence how we understand the world…

  10. A model of succession planning for mental health nurse practitioners.

    PubMed

    Hampel, Sally; Procter, Nicholas; Deuter, Kate

    2010-08-01

    This paper reviews current literature on succession planning for mental health nurse practitioners (NPs) and discusses a model of succession planning that is underpinned by principals of leadership development, workforce participation and client engagement. The paper identifies succession planning as a means of managing a present and future workforce, while simultaneously addressing individual and organizational learning and practice development needs. A discussion of the processes attendant upon sustainable succession planning - collegial support, career planning and development, information exchange, capacity building, and mentoring is framed within the potential interrelationships between existing NP, developing NP and service directors and/or team managers. Done effectively and in partnership with wider clinical services, succession planning has the potential to build NP leadership development and leadership transition more broadly within mental health services.

  11. Attitudes toward Mental Illness: The Construction of the Libertarian Mental Health Ideology Scale.

    ERIC Educational Resources Information Center

    Nevid, Jeffrey S.; Morrison, James

    1980-01-01

    The study was an attempt to construct an attitude scale to measure the radical psychosocial or libertarian position about "mental illness" and mental health practices. The factor analysis defined four scale factors: mental illness mythology, antimedical model, social deviance control, and anti-coercive treatment. (Author)

  12. Mental models of adherence: parallels in perceptions, values, and expectations in adherence to prescribed home exercise programs and other personal regimens.

    PubMed

    Rizzo, Jon; Bell, Alexandra

    2018-05-09

    A mental model is the collection of an individual's perceptions, values, and expectations about a particular aspect of their life, which strongly influences behaviors. This study explored orthopedic outpatients mental models of adherence to prescribed home exercise programs and how they related to mental models of adherence to other types of personal regimens. The study followed an interpretive description qualitative design. Data were collected via two semi-structured interviews. Interview One focused on participants prior experiences adhering to personal regimens. Interview Two focused on experiences adhering to their current prescribed home exercise program. Data analysis followed a constant comparative method. Findings revealed similarity in perceptions, values, and expectations that informed individuals mental models of adherence to personal regimens and prescribed home exercise programs. Perceived realized results, expected results, perceived social supports, and value of convenience characterized mental models of adherence. Parallels between mental models of adherence for prescribed home exercise and other personal regimens suggest that patients adherence behavior to prescribed routines may be influenced by adherence experiences in other aspects of their lives. By gaining insight into patients adherence experiences, values, and expectations across life domains, clinicians may tailor supports that enhance home exercise adherence. Implications for Rehabilitation A mental model is the collection of an individual's perceptions, values, and expectations about a particular aspect of their life, which is based on prior experiences and strongly influences behaviors. This study demonstrated similarity in orthopedic outpatients mental models of adherence to prescribed home exercise programs and adherence to personal regimens in other aspects of their lives. Physical therapists should inquire about patients non-medical adherence experiences, as strategies patients

  13. A systems relations model for Tier 2 early intervention child mental health services with schools: an exploratory study.

    PubMed

    van Roosmalen, Marc; Gardner-Elahi, Catherine; Day, Crispin

    2013-01-01

    Over the last 15 years, policy initiatives have aimed at the provision of more comprehensive Child and Adolescent Mental Health care. These presented a series of new challenges in organising and delivering Tier 2 child mental health services, particularly in schools. This exploratory study aimed to examine and clarify the service model underpinning a Tier 2 child mental health service offering school-based mental health work. Using semi-structured interviews, clinician descriptions of operational experiences were gathered. These were analysed using grounded theory methods. Analysis was validated by respondents at two stages. A pathway for casework emerged that included a systemic consultative function, as part of an overall three-function service model, which required: (1) activity as a member of the multi-agency system; (2) activity to improve the system working around a particular child; and (3) activity to universally develop a Tier 1 workforce confident in supporting children at risk of or experiencing mental health problems. The study challenged the perception of such a service serving solely a Tier 2 function, the requisite workforce to deliver the service model, and could give service providers a rationale for negotiating service models that include an explicit focus on improving the children's environments.

  14. Helicopter flight dynamics simulation with a time-accurate free-vortex wake model

    NASA Astrophysics Data System (ADS)

    Ribera, Maria

    This dissertation describes the implementation and validation of a coupled rotor-fuselage simulation model with a time-accurate free-vortex wake model capable of capturing the response to maneuvers of arbitrary amplitude. The resulting model has been used to analyze different flight conditions, including both steady and transient maneuvers. The flight dynamics model is based on a system of coupled nonlinear rotor-fuselage differential equations in first-order, state-space form. The rotor model includes flexible blades, with coupled flap-lag-torsion dynamics and swept tips; the rigid body dynamics are modeled with the non-linear Euler equations. The free wake models the rotor flow field by tracking the vortices released at the blade tips. Their behavior is described by the equations of vorticity transport, which is approximated using finite differences, and solved using a time-accurate numerical scheme. The flight dynamics model can be solved as a system of non-linear algebraic trim equations to determine the steady state solution, or integrated in time in response to pilot-applied controls. This study also implements new approaches to reduce the prohibitive computational costs associated with such complex models without losing accuracy. The mathematical model was validated for trim conditions in level flight, turns, climbs and descents. The results obtained correlate well with flight test data, both in level flight as well as turning and climbing and descending flight. The swept tip model was also found to improve the trim predictions, particularly at high speed. The behavior of the rigid body and the rotor blade dynamics were also studied and related to the aerodynamic load distributions obtained with the free wake induced velocities. The model was also validated in a lateral maneuver from hover. The results show improvements in the on-axis prediction, and indicate a possible relation between the off-axis prediction and the lack of rotor-body interaction

  15. An accurate and efficient laser-envelope solver for the modeling of laser-plasma accelerators

    DOE PAGES

    Benedetti, C.; Schroeder, C. B.; Geddes, C. G. R.; ...

    2017-10-17

    Detailed and reliable numerical modeling of laser-plasma accelerators (LPAs), where a short and intense laser pulse interacts with an underdense plasma over distances of up to a meter, is a formidably challenging task. This is due to the great disparity among the length scales involved in the modeling, ranging from the micron scale of the laser wavelength to the meter scale of the total laser-plasma interaction length. The use of the time-averaged ponderomotive force approximation, where the laser pulse is described by means of its envelope, enables efficient modeling of LPAs by removing the need to model the details ofmore » electron motion at the laser wavelength scale. Furthermore, it allows simulations in cylindrical geometry which captures relevant 3D physics at 2D computational cost. A key element of any code based on the time-averaged ponderomotive force approximation is the laser envelope solver. In this paper we present the accurate and efficient envelope solver used in the code INF & RNO (INtegrated Fluid & paRticle simulatioN cOde). The features of the INF & RNO laser solver enable an accurate description of the laser pulse evolution deep into depletion even at a reasonably low resolution, resulting in significant computational speed-ups.« less

  16. An accurate and efficient laser-envelope solver for the modeling of laser-plasma accelerators

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

    Benedetti, C.; Schroeder, C. B.; Geddes, C. G. R.

    Detailed and reliable numerical modeling of laser-plasma accelerators (LPAs), where a short and intense laser pulse interacts with an underdense plasma over distances of up to a meter, is a formidably challenging task. This is due to the great disparity among the length scales involved in the modeling, ranging from the micron scale of the laser wavelength to the meter scale of the total laser-plasma interaction length. The use of the time-averaged ponderomotive force approximation, where the laser pulse is described by means of its envelope, enables efficient modeling of LPAs by removing the need to model the details ofmore » electron motion at the laser wavelength scale. Furthermore, it allows simulations in cylindrical geometry which captures relevant 3D physics at 2D computational cost. A key element of any code based on the time-averaged ponderomotive force approximation is the laser envelope solver. In this paper we present the accurate and efficient envelope solver used in the code INF & RNO (INtegrated Fluid & paRticle simulatioN cOde). The features of the INF & RNO laser solver enable an accurate description of the laser pulse evolution deep into depletion even at a reasonably low resolution, resulting in significant computational speed-ups.« less

  17. An accurate and efficient laser-envelope solver for the modeling of laser-plasma accelerators

    NASA Astrophysics Data System (ADS)

    Benedetti, C.; Schroeder, C. B.; Geddes, C. G. R.; Esarey, E.; Leemans, W. P.

    2018-01-01

    Detailed and reliable numerical modeling of laser-plasma accelerators (LPAs), where a short and intense laser pulse interacts with an underdense plasma over distances of up to a meter, is a formidably challenging task. This is due to the great disparity among the length scales involved in the modeling, ranging from the micron scale of the laser wavelength to the meter scale of the total laser-plasma interaction length. The use of the time-averaged ponderomotive force approximation, where the laser pulse is described by means of its envelope, enables efficient modeling of LPAs by removing the need to model the details of electron motion at the laser wavelength scale. Furthermore, it allows simulations in cylindrical geometry which captures relevant 3D physics at 2D computational cost. A key element of any code based on the time-averaged ponderomotive force approximation is the laser envelope solver. In this paper we present the accurate and efficient envelope solver used in the code INF&RNO (INtegrated Fluid & paRticle simulatioN cOde). The features of the INF&RNO laser solver enable an accurate description of the laser pulse evolution deep into depletion even at a reasonably low resolution, resulting in significant computational speed-ups.

  18. Spatial path models with multiple indicators and multiple causes: mental health in US counties.

    PubMed

    Congdon, Peter

    2011-06-01

    This paper considers a structural model for the impact on area mental health outcomes (poor mental health, suicide) of spatially structured latent constructs: deprivation, social capital, social fragmentation and rurality. These constructs are measured by multiple observed effect indicators, with the constructs allowed to be correlated both between and within areas. However, in the scheme developed here, particular latent constructs may also be influenced by known variables, or, via path sequences, by other constructs, possibly nonlinearly. For example, area social capital may be measured by effect indicators (e.g. associational density, charitable activity), but influenced as causes by other constructs (e.g. area deprivation), and by observed features of the socio-ethnic structure of areas. A model incorporating these features is applied to suicide mortality and the prevalence of poor mental health in 3141 US counties, which are related to the latent spatial constructs and to observed variables (e.g. county ethnic mix). Copyright © 2011 Elsevier Ltd. All rights reserved.

  19. An accurate behavioral model for single-photon avalanche diode statistical performance simulation

    NASA Astrophysics Data System (ADS)

    Xu, Yue; Zhao, Tingchen; Li, Ding

    2018-01-01

    An accurate behavioral model is presented to simulate important statistical performance of single-photon avalanche diodes (SPADs), such as dark count and after-pulsing noise. The derived simulation model takes into account all important generation mechanisms of the two kinds of noise. For the first time, thermal agitation, trap-assisted tunneling and band-to-band tunneling mechanisms are simultaneously incorporated in the simulation model to evaluate dark count behavior of SPADs fabricated in deep sub-micron CMOS technology. Meanwhile, a complete carrier trapping and de-trapping process is considered in afterpulsing model and a simple analytical expression is derived to estimate after-pulsing probability. In particular, the key model parameters of avalanche triggering probability and electric field dependence of excess bias voltage are extracted from Geiger-mode TCAD simulation and this behavioral simulation model doesn't include any empirical parameters. The developed SPAD model is implemented in Verilog-A behavioral hardware description language and successfully operated on commercial Cadence Spectre simulator, showing good universality and compatibility. The model simulation results are in a good accordance with the test data, validating high simulation accuracy.

  20. Eliciting and characterizing students' mental models within the context of engineering design

    NASA Astrophysics Data System (ADS)

    Dankenbring, Chelsey

    Recently, science education reform documents have called for the incorporation of engineering principles and practices into the K-12 science standards and curriculum. One way this has been done is through the use of engineering design tasks as a way for students to apply their scientific understandings to real-world problems. However, minimal studies have documented students' conceptions within the context of engineering design. Thus, the first chapter of this thesis outlines the steps taken to develop a draw-and-explain item that elicited students' mental models regarding the cause of the four seasons after finishing an engineering design task. Students' mental models regarding the reason for the seasons are also described. The second chapter characterizes students' conceptions regarding sun-Earth relationships, specifically the amount of daylight hours throughout the year, for students who completed either an engineering design task or more traditional learning activities. Results from these studies indicate that draw-and-explain items are an effective way of obtaining students' mental models and that students harbor a variety of alternate conceptions on astronomy related concepts within various learning contexts. Implications from this study include the need for further research regarding how engineering design is used in the classroom and how engineering design facilitates science learning. Also, professional development that allows in-service teachers to gain experience teaching engineering design is needed, as are teacher preparation programs that expose pre-service teachers to engineering design.

  1. The importance of shared mental models and shared situation awareness for transforming robots from tools to teammates

    NASA Astrophysics Data System (ADS)

    Ososky, Scott; Schuster, David; Jentsch, Florian; Fiore, Stephen; Shumaker, Randall; Lebiere, Christian; Kurup, Unmesh; Oh, Jean; Stentz, Anthony

    2012-06-01

    Current ground robots are largely employed via tele-operation and provide their operators with useful tools to extend reach, improve sensing, and avoid dangers. To move from robots that are useful as tools to truly synergistic human-robot teaming, however, will require not only greater technical capabilities among robots, but also a better understanding of the ways in which the principles of teamwork can be applied from exclusively human teams to mixed teams of humans and robots. In this respect, a core characteristic that enables successful human teams to coordinate shared tasks is their ability to create, maintain, and act on a shared understanding of the world and the roles of the team and its members in it. The team performance literature clearly points towards two important cornerstones for shared understanding of team members: mental models and situation awareness. These constructs have been investigated as products of teams as well; amongst teams, they are shared mental models and shared situation awareness. Consequently, we are studying how these two constructs can be measured and instantiated in human-robot teams. In this paper, we report results from three related efforts that are investigating process and performance outcomes for human robot teams. Our investigations include: (a) how human mental models of tasks and teams change whether a teammate is human, a service animal, or an advanced automated system; (b) how computer modeling can lead to mental models being instantiated and used in robots; (c) how we can simulate the interactions between human and future robotic teammates on the basis of changes in shared mental models and situation assessment.

  2. Modeling the mental health service utilization decisions of university undergraduates: A discrete choice conjoint experiment.

    PubMed

    Cunningham, Charles E; Zipursky, Robert B; Christensen, Bruce K; Bieling, Peter J; Madsen, Victoria; Rimas, Heather; Mielko, Stephanie; Wilson, Fiona; Furimsky, Ivana; Jeffs, Lisa; Munn, Catharine

    2017-01-01

    We modeled design factors influencing the intent to use a university mental health service. Between November 2012 and October 2014, 909 undergraduates participated. Using a discrete choice experiment, participants chose between hypothetical campus mental health services. Latent class analysis identified three segments. A Psychological/Psychiatric Service segment (45.5%) was most likely to contact campus health services delivered by psychologists or psychiatrists. An Alternative Service segment (39.3%) preferred to talk to peer-counselors who had experienced mental health problems. A Hesitant segment (15.2%) reported greater distress but seemed less intent on seeking help. They preferred services delivered by psychologists or psychiatrists. Simulations predicted that, rather than waiting for standard counseling, the Alternative Service segment would prefer immediate access to E-Mental health. The Usual Care and Hesitant segments would wait 6 months for standard counseling. E-Mental Health options could engage students who may not wait for standard services.

  3. The Tidal Model: developing an empowering, person-centred approach to recovery within psychiatric and mental health nursing.

    PubMed

    Barker, P

    2001-06-01

    Nursing theories and nursing models have a low profile within psychiatric and mental health nursing in the United Kingdom. This paper describes the philosophical and theoretical background of the Tidal Model, which emerged from a 5-year study of the 'need for psychiatric nursing'. The Tidal Model extends and develops some of the traditional assumptions concerning the centrality of interpersonal relations within nursing practice. The model also integrates discrete processes for re-empowering the person who is disempowered by mental distress or psychiatric services or both. The paper reports briefly on the ongoing evaluation of the model in practice.

  4. Millennial Students' Mental Models of Search: Implications for Academic Librarians and Database Developers

    ERIC Educational Resources Information Center

    Holman, Lucy

    2011-01-01

    Today's students exhibit generational differences in the way they search for information. Observations of first-year students revealed a proclivity for simple keyword or phrases searches with frequent misspellings and incorrect logic. Although no students had strong mental models of search mechanisms, those with stronger models did construct more…

  5. Double Cluster Heads Model for Secure and Accurate Data Fusion in Wireless Sensor Networks

    PubMed Central

    Fu, Jun-Song; Liu, Yun

    2015-01-01

    Secure and accurate data fusion is an important issue in wireless sensor networks (WSNs) and has been extensively researched in the literature. In this paper, by combining clustering techniques, reputation and trust systems, and data fusion algorithms, we propose a novel cluster-based data fusion model called Double Cluster Heads Model (DCHM) for secure and accurate data fusion in WSNs. Different from traditional clustering models in WSNs, two cluster heads are selected after clustering for each cluster based on the reputation and trust system and they perform data fusion independently of each other. Then, the results are sent to the base station where the dissimilarity coefficient is computed. If the dissimilarity coefficient of the two data fusion results exceeds the threshold preset by the users, the cluster heads will be added to blacklist, and the cluster heads must be reelected by the sensor nodes in a cluster. Meanwhile, feedback is sent from the base station to the reputation and trust system, which can help us to identify and delete the compromised sensor nodes in time. Through a series of extensive simulations, we found that the DCHM performed very well in data fusion security and accuracy. PMID:25608211

  6. Training community mental health staff in Guangzhou, China: evaluation of the effect of a new training model.

    PubMed

    Li, Jie; Li, Juan; Thornicroft, Graham; Yang, Hui; Chen, Wen; Huang, Yuanguang

    2015-10-26

    Increasing numbers of people with mental disorders receive services at primary care in China. The aims of this study are to evaluate impact of a new training course and supervision for community mental health staff to enhance their levels of mental health knowledge and to reduce their stigmatization toward people with mental illness. A total of 77 community mental health staff from eight regions in Guangzhou in China were recruited for the study.4 regions were randomly allocated to the new training model group, and 4 to the old training model group. Levels of mental health knowledge were measured by purpose-made assessment schedule and by the Mental Health Knowledge Schedule (MAKS). Stigma was evaluated by the Mental Illness: Clinicians' Attitudes Scale (MICA) and the Reported and Intended Behavior Scale (RIBS). Evaluation questionnaires were given at the beginning of course, at the end, and at 6 month and at 12 month follow-up. After the training period, the 6-month, and the 12-month, knowledge scores of the intervention group were higher than the control group. At 6-month and 12-month follow-up, means scores of MAKS of the intervention group increased more than the control group (both p < 0.05) when age, sex, marriage status, title and time were controlled for. At 6-month follow-up, means scores of MICA of the intervention group decreased more than that of the control group (p < 0.01). At after-training, at 6-months, and at 12-months, mean scores of RIBS of the intervention group increased more than the control (p < 0.01, p < 0.001, p < 0.001) when age, sex, marriage status, title and time were controlled for. Compared with the traditional training course and supervision, the new course improved community mental health staff knowledge of mental disorders, improving their attitudes toward people with mental disorder, and increasing their willingness to have contact with people with mental disorder.

  7. Promoting and Protecting Mental Health as Flourishing: A Complementary Strategy for Improving National Mental Health

    ERIC Educational Resources Information Center

    Keyes, Corey L. M.

    2007-01-01

    This article summarizes the conception and diagnosis of the mental health continuum, the findings supporting the two continua model of mental health and illness, and the benefits of flourishing to individuals and society. Completely mentally healthy adults--individuals free of a 12-month mental disorder and flourishing--reported the fewest missed…

  8. What do they know about Heat and Heat Conduction? A case study to excavate Pre-service Physics Teachers’ Mental Model in Heat and Heat Conduction

    NASA Astrophysics Data System (ADS)

    Sari, I. M.

    2017-02-01

    Teacher plays a crucial role in Education. Helping students construct scientifically mental model is one of obligation of Physics Education Department of Teacher Education Institute that produce physics teacher. Excavating students’ mental model is necessary to be done in physics education. This research was first to identify 23 physics students’ mental model of heat and heat conduction. A series of semi-structured interviews was conducted to excavate the students’ understanding of heat and mental models on heat conduction. The students who involved in this study come from different level from sophomore to master degree in Physics Education Department. This study adopted a constant comparison method to obtain the patterns of the participants’ responses through the students’ writing, drawing and verbal utterances. The framework for assessing mental model and the instruments were adopted and adapted from Chiou and Anderson (2010). We also compared the students’ understanding of heat and mental models on heat conduction. The result shows that Heat is treated as Intrinsic property, material substances, and caloric flow. None of students expressed heat as transfer of thermal energy. Moreover, there are two kinds of students’ fundamental component of mental model in heat conduction were found: medium and molecules. Students understanding of heat and fundamental components of mental model in heat conduction are not resulted from running mental model.

  9. The growing importance of mental health: are medical curricula responding?

    PubMed

    Azhar, M Z

    2002-12-01

    Mental health is becoming an important issue. Several local and international studies have proven that the incidence of mental illness is on the rise. Doctors have also been able to make more accurate diagnoses and treat mental disorders more reliably with the aid of recent research and newer drugs. As such it is necessary for the medical curricula to respond to this shift. Medical students must now be exposed to new psychiatric disorders and ways of managing them. The time spent in psychiatry and the mode of teaching must also be revised and modified to the current needs of patients.

  10. Assessing Psychological Symptoms and Well-Being: Application of a Dual-Factor Mental Health Model to Understand College Student Performance

    ERIC Educational Resources Information Center

    Antaramian, Susan

    2015-01-01

    A dual-factor mental health model includes measures of positive psychological well-being in addition to traditional indicators of psychopathology to comprehensively determine mental health status. The current study examined the utility of this model in understanding the psychological adjustment and educational functioning of college students. A…

  11. The biomedical model of mental disorder: a critical analysis of its validity, utility, and effects on psychotherapy research.

    PubMed

    Deacon, Brett J

    2013-11-01

    The biomedical model posits that mental disorders are brain diseases and emphasizes pharmacological treatment to target presumed biological abnormalities. A biologically-focused approach to science, policy, and practice has dominated the American healthcare system for more than three decades. During this time, the use of psychiatric medications has sharply increased and mental disorders have become commonly regarded as brain diseases caused by chemical imbalances that are corrected with disease-specific drugs. However, despite widespread faith in the potential of neuroscience to revolutionize mental health practice, the biomedical model era has been characterized by a broad lack of clinical innovation and poor mental health outcomes. In addition, the biomedical paradigm has profoundly affected clinical psychology via the adoption of drug trial methodology in psychotherapy research. Although this approach has spurred the development of empirically supported psychological treatments for numerous mental disorders, it has neglected treatment process, inhibited treatment innovation and dissemination, and divided the field along scientist and practitioner lines. The neglected biopsychosocial model represents an appealing alternative to the biomedical approach, and an honest and public dialog about the validity and utility of the biomedical paradigm is urgently needed. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. Studying the Consistency between and within the Student Mental Models for Atomic Structure

    ERIC Educational Resources Information Center

    Zarkadis, Nikolaos; Papageorgiou, George; Stamovlasis, Dimitrios

    2017-01-01

    Science education research has revealed a number of student mental models for atomic structure, among which, the one based on Bohr's model seems to be the most dominant. The aim of the current study is to investigate the coherence of these models when students apply them for the explanation of a variety of situations. For this purpose, a set of…

  13. Measurement and description of underlying dimensions of comorbid mental disorders using Factor Mixture Models: results of the ESEMeD project.

    PubMed

    Almansa, Josué; Vermunt, Jeroen K; Forero, Carlos G; Vilagut, Gemma; De Graaf, Ron; De Girolamo, Giovanni; Alonso, Jordi

    2011-06-01

    Epidemiological studies on mental health and mental comorbidity are usually based on prevalences and correlations between disorders, or some other form of bivariate clustering of disorders. In this paper, we propose a Factor Mixture Model (FMM) methodology based on conceptual models aiming to measure and summarize distinctive disorder information in the internalizing and externalizing dimensions. This methodology includes explicit modelling of subpopulations with and without 12 month disorders ("ill" and "healthy") by means of latent classes, as well as assessment of model invariance and estimation of dimensional scores. We applied this methodology with an internalizing/externalizing two-factor model, to a representative sample gathered in the European Study of the Epidemiology of Mental Disorders (ESEMeD) study -- which includes 8796 individuals from six countries, and used the CIDI 3.0 instrument for disorder assessment. Results revealed that southern European countries have significantly higher mental health levels concerning internalizing/externalizing disorders than central countries; males suffered more externalizing disorders than women did, and conversely, internalizing disorders were more frequent in women. Differences in mental-health level between socio-demographic groups were due to different proportions of healthy and ill individuals and, noticeably, to the ameliorating influence of marital status on severity. An advantage of latent model-based scores is that the inclusion of additional mental-health dimensional information -- other than diagnostic data -- allows for greater precision within a target range of scores. Copyright © 2011 John Wiley & Sons, Ltd.

  14. Driver's mental workload prediction model based on physiological indices.

    PubMed

    Yan, Shengyuan; Tran, Cong Chi; Wei, Yingying; Habiyaremye, Jean Luc

    2017-09-15

    Developing an early warning model to predict the driver's mental workload (MWL) is critical and helpful, especially for new or less experienced drivers. The present study aims to investigate the correlation between new drivers' MWL and their work performance, regarding the number of errors. Additionally, the group method of data handling is used to establish the driver's MWL predictive model based on subjective rating (NASA task load index [NASA-TLX]) and six physiological indices. The results indicate that the NASA-TLX and the number of errors are positively correlated, and the predictive model shows the validity of the proposed model with an R 2 value of 0.745. The proposed model is expected to provide a reference value for the new drivers of their MWL by providing the physiological indices, and the driving lesson plans can be proposed to sustain an appropriate MWL as well as improve the driver's work performance.

  15. A hamster model for Marburg virus infection accurately recapitulates Marburg hemorrhagic fever

    PubMed Central

    Marzi, Andrea; Banadyga, Logan; Haddock, Elaine; Thomas, Tina; Shen, Kui; Horne, Eva J.; Scott, Dana P.; Feldmann, Heinz; Ebihara, Hideki

    2016-01-01

    Marburg virus (MARV), a close relative of Ebola virus, is the causative agent of a severe human disease known as Marburg hemorrhagic fever (MHF). No licensed vaccine or therapeutic exists to treat MHF, and MARV is therefore classified as a Tier 1 select agent and a category A bioterrorism agent. In order to develop countermeasures against this severe disease, animal models that accurately recapitulate human disease are required. Here we describe the development of a novel, uniformly lethal Syrian golden hamster model of MHF using a hamster-adapted MARV variant Angola. Remarkably, this model displayed almost all of the clinical features of MHF seen in humans and non-human primates, including coagulation abnormalities, hemorrhagic manifestations, petechial rash, and a severely dysregulated immune response. This MHF hamster model represents a powerful tool for further dissecting MARV pathogenesis and accelerating the development of effective medical countermeasures against human MHF. PMID:27976688

  16. A hamster model for Marburg virus infection accurately recapitulates Marburg hemorrhagic fever.

    PubMed

    Marzi, Andrea; Banadyga, Logan; Haddock, Elaine; Thomas, Tina; Shen, Kui; Horne, Eva J; Scott, Dana P; Feldmann, Heinz; Ebihara, Hideki

    2016-12-15

    Marburg virus (MARV), a close relative of Ebola virus, is the causative agent of a severe human disease known as Marburg hemorrhagic fever (MHF). No licensed vaccine or therapeutic exists to treat MHF, and MARV is therefore classified as a Tier 1 select agent and a category A bioterrorism agent. In order to develop countermeasures against this severe disease, animal models that accurately recapitulate human disease are required. Here we describe the development of a novel, uniformly lethal Syrian golden hamster model of MHF using a hamster-adapted MARV variant Angola. Remarkably, this model displayed almost all of the clinical features of MHF seen in humans and non-human primates, including coagulation abnormalities, hemorrhagic manifestations, petechial rash, and a severely dysregulated immune response. This MHF hamster model represents a powerful tool for further dissecting MARV pathogenesis and accelerating the development of effective medical countermeasures against human MHF.

  17. The Impact of Secondary School Students' Preconceptions on the Evolution of their Mental Models of the Greenhouse effect and Global Warming

    NASA Astrophysics Data System (ADS)

    Reinfried, Sibylle; Tempelmann, Sebastian

    2014-01-01

    This paper provides a video-based learning process study that investigates the kinds of mental models of the atmospheric greenhouse effect 13-year-old learners have and how these mental models change with a learning environment, which is optimised in regard to instructional psychology. The objective of this explorative study was to observe and analyse the learners' learning pathways according to their previous knowledge in detail and to understand the mental model formation processes associated with them more precisely. For the analysis of the learning pathways, drawings, texts, video and interview transcripts from 12 students were studied using qualitative methods. The learning pathways pursued by the learners significantly depend on their domain-specific previous knowledge. The learners' preconceptions could be typified based on specific characteristics, whereby three preconception types could be formed. The 'isolated pieces of knowledge' type of learners, who have very little or no previous knowledge about the greenhouse effect, build new mental models that are close to the target model. 'Reduced heat output' type of learners, who have previous knowledge that indicates compliances with central ideas of the normative model, reconstruct their knowledge by reorganising and interpreting their existing knowledge structures. 'Increasing heat input' type of learners, whose previous knowledge consists of subjective worldly knowledge, which has a greater personal explanatory value than the information from the learning environment, have more difficulties changing their mental models. They have to fundamentally reconstruct their mental models.

  18. Can phenological models predict tree phenology accurately in the future? The unrevealed hurdle of endodormancy break.

    PubMed

    Chuine, Isabelle; Bonhomme, Marc; Legave, Jean-Michel; García de Cortázar-Atauri, Iñaki; Charrier, Guillaume; Lacointe, André; Améglio, Thierry

    2016-10-01

    The onset of the growing season of trees has been earlier by 2.3 days per decade during the last 40 years in temperate Europe because of global warming. The effect of temperature on plant phenology is, however, not linear because temperature has a dual effect on bud development. On one hand, low temperatures are necessary to break bud endodormancy, and, on the other hand, higher temperatures are necessary to promote bud cell growth afterward. Different process-based models have been developed in the last decades to predict the date of budbreak of woody species. They predict that global warming should delay or compromise endodormancy break at the species equatorward range limits leading to a delay or even impossibility to flower or set new leaves. These models are classically parameterized with flowering or budbreak dates only, with no information on the endodormancy break date because this information is very scarce. Here, we evaluated the efficiency of a set of phenological models to accurately predict the endodormancy break dates of three fruit trees. Our results show that models calibrated solely with budbreak dates usually do not accurately predict the endodormancy break date. Providing endodormancy break date for the model parameterization results in much more accurate prediction of this latter, with, however, a higher error than that on budbreak dates. Most importantly, we show that models not calibrated with endodormancy break dates can generate large discrepancies in forecasted budbreak dates when using climate scenarios as compared to models calibrated with endodormancy break dates. This discrepancy increases with mean annual temperature and is therefore the strongest after 2050 in the southernmost regions. Our results claim for the urgent need of massive measurements of endodormancy break dates in forest and fruit trees to yield more robust projections of phenological changes in a near future. © 2016 John Wiley & Sons Ltd.

  19. Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System

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

    Goldhaber, Steve; Holland, Marika

    The major goal of this project was to contribute improvements to the infrastructure of an Earth System Model in order to support research in the Multiscale Methods for Accurate, Efficient, and Scale-Aware models of the Earth System project. In support of this, the NCAR team accomplished two main tasks: improving input/output performance of the model and improving atmospheric model simulation quality. Improvement of the performance and scalability of data input and diagnostic output within the model required a new infrastructure which can efficiently handle the unstructured grids common in multiscale simulations. This allows for a more computationally efficient model, enablingmore » more years of Earth System simulation. The quality of the model simulations was improved by reducing grid-point noise in the spectral element version of the Community Atmosphere Model (CAM-SE). This was achieved by running the physics of the model using grid-cell data on a finite-volume grid.« less

  20. Behavioral Modeling for Mental Health using Machine Learning Algorithms.

    PubMed

    Srividya, M; Mohanavalli, S; Bhalaji, N

    2018-04-03

    Mental health is an indicator of emotional, psychological and social well-being of an individual. It determines how an individual thinks, feels and handle situations. Positive mental health helps one to work productively and realize their full potential. Mental health is important at every stage of life, from childhood and adolescence through adulthood. Many factors contribute to mental health problems which lead to mental illness like stress, social anxiety, depression, obsessive compulsive disorder, drug addiction, and personality disorders. It is becoming increasingly important to determine the onset of the mental illness to maintain proper life balance. The nature of machine learning algorithms and Artificial Intelligence (AI) can be fully harnessed for predicting the onset of mental illness. Such applications when implemented in real time will benefit the society by serving as a monitoring tool for individuals with deviant behavior. This research work proposes to apply various machine learning algorithms such as support vector machines, decision trees, naïve bayes classifier, K-nearest neighbor classifier and logistic regression to identify state of mental health in a target group. The responses obtained from the target group for the designed questionnaire were first subject to unsupervised learning techniques. The labels obtained as a result of clustering were validated by computing the Mean Opinion Score. These cluster labels were then used to build classifiers to predict the mental health of an individual. Population from various groups like high school students, college students and working professionals were considered as target groups. The research presents an analysis of applying the aforementioned machine learning algorithms on the target groups and also suggests directions for future work.

  1. Violence, stigma and mental health among female sex workers in China: A structural equation modeling.

    PubMed

    Zhang, Liying; Li, Xiaoming; Wang, Bo; Shen, Zhiyong; Zhou, Yuejiao; Xu, Jinping; Tang, Zhenzhu; Stanton, Bonita

    2017-07-01

    Intimate partner violence is prevalent among female sex workers (FSWs) in China, and it is significantly associated with mental health problems among FSWs. However, limited studies have explored the mechanisms/process by which violence affects mental health. The purpose of this study was to explore the relationships among partner violence, internalized stigma, and mental health problems among FSWs. Data were collected using a self-administered cross-sectional survey administered to 1,022 FSWs in the Guangxi Zhuang Autonomous Region (Guangxi), China during 2008-2009. We used structural equation modeling to test the hypothesized relationships. Results indicated that violence perpetrated by either stable sexual partners or clients was directly and positively associated with mental health problems. Violence also had an indirect relation to mental health problems through stigma. Results highlight the need for interventions on counseling and care for FSWs who have experienced violence and for interventions to increase FSWs' coping skills and empowerment strategies.

  2. There is more to mental illness than negative affect: comprehensive temperament profiles in depression and generalized anxiety.

    PubMed

    Trofimova, Irina; Sulis, William

    2018-05-10

    Temperament and mental illness are thought to represent varying degrees along the same continuum of neurotransmitter imbalances. A taxonomy of temperament could provide the basis for a new taxonomy of mental illness. Most popular models of temperament, being based heavily on emotionality traits, show very poor ability to discriminate between mental disorders. The main goal of this study was to examine whether a temperament model based on modern neurophysiology and possessing an extensive set of non-emotionality traits provides better discrimination between Major Depression (MD), Generalized Anxiety (GAD) and Comorbid MD and GAD, in comparison to emotionality-based temperament models. Using the Structure of Temperament Questionnaire, the temperament profiles of 687 individuals (396 clients of private psychiatric and psychological practice, and 291 control subjects) were compared across four adult age groups (18-24, 25-45, 46-65, 66-84). MD and GAD appear to be accurately distinguished by the traits of Motor Endurance and Motor Tempo (much lower values in depression), and Neuroticism (much higher value in anxiety). Comorbids can be distinguished based on a significant decrease in the traits of Plasticity, Intellectual Endurance, Sensitivity to Probabilities, and increased Impulsivity. These effects seemed independent of age and gender. The results suggest the benefits of including non-emotionality-related traits and the usefulness of a functional approach to both taxonomy of temperament and classification of mental disorders.

  3. Exploring the Content of Shared Mental Models in Project Teams

    DTIC Science & Technology

    2005-09-30

    FINAL REPORT Grant Title: EXPLORING THE CONTENT OF SHARED MENTAL MODELS IN PROJECT TEAMS Office of Naval Research Award Number: N000140210535... Research Laboratory, Attn: code 5227, 4555 Overlook Ave., SW, Washington, DC •t• The University of Massachusetts Amherst is an Affirmative Action/Equal...satisfaction. 2.0 PROJECT SUMMARY No consensus among researchers studying shared cognition exists regarding the identification of what should be

  4. A COMMUNITY MENTAL HEALTH PROFESSIONAL DEVELOPMENT MODEL FOR THE EXPANSION OF REFLECTIVE PRACTICE AND SUPERVISION: EVALUATION OF A PILOT TRAINING SERIES FOR INFANT MENTAL HEALTH PROFESSIONALS.

    PubMed

    Shea, Sarah E; Goldberg, Sheryl; Weatherston, Deborah J

    2016-11-01

    The Michigan Association for Infant Mental Health identified a need for reflective supervision training for infant mental health (IMH) specialists providing home-based services to highly vulnerable infants and their families. Findings indicate that this pilot of an IMH community mental health professional development model was successful, as measured by the participants' increased capacity to apply reflective practice and supervisory knowledge and skills. Furthermore, IMH clinicians demonstrated an increase in the frequency of their use of reflective practice skills, and their supervisors demonstrated an increase in their sense of self-efficacy regarding reflective supervisory tasks. Finally, the evaluation included a successful pilot of new measures designed to measure reflective practice, contributing to the growing body of research in the area of reflective supervision. © 2016 Michigan Association for Infant Mental Health.

  5. Involving mental health service users in suicide-related research: a qualitative inquiry model.

    PubMed

    Lees, David; Procter, Nicholas; Fassett, Denise; Handley, Christine

    2016-03-01

    To describe the research model developed and successfully deployed as part of a multi-method qualitative study investigating suicidal service-users' experiences of mental health nursing care. Quality mental health care is essential to limiting the occurrence and burden of suicide, however there is a lack of relevant research informing practice in this context. Research utilising first-person accounts of suicidality is of particular importance to expanding the existing evidence base. However, conducting ethical research to support this imperative is challenging. The model discussed here illustrates specific and more generally applicable principles for qualitative research regarding sensitive topics and involving potentially vulnerable service-users. Researching into mental health service users with first-person experience of suicidality requires stakeholder and institutional support, researcher competency, and participant recruitment, consent, confidentiality, support and protection. Research with service users into their experiences of sensitive issues such as suicidality can result in rich and valuable data, and may also provide positive experiences of collaboration and inclusivity. If challenges are not met, objectification and marginalisation of service-users may be reinforced, and limitations in the evidence base and service provision may be perpetuated.

  6. Fast and accurate focusing analysis of large photon sieve using pinhole ring diffraction model.

    PubMed

    Liu, Tao; Zhang, Xin; Wang, Lingjie; Wu, Yanxiong; Zhang, Jizhen; Qu, Hemeng

    2015-06-10

    In this paper, we developed a pinhole ring diffraction model for the focusing analysis of a large photon sieve. Instead of analyzing individual pinholes, we discuss the focusing of all of the pinholes in a single ring. An explicit equation for the diffracted field of individual pinhole ring has been proposed. We investigated the validity range of this generalized model and analytically describe the sufficient conditions for the validity of this pinhole ring diffraction model. A practical example and investigation reveals the high accuracy of the pinhole ring diffraction model. This simulation method could be used for fast and accurate focusing analysis of a large photon sieve.

  7. Branch and bound algorithm for accurate estimation of analytical isotropic bidirectional reflectance distribution function models.

    PubMed

    Yu, Chanki; Lee, Sang Wook

    2016-05-20

    We present a reliable and accurate global optimization framework for estimating parameters of isotropic analytical bidirectional reflectance distribution function (BRDF) models. This approach is based on a branch and bound strategy with linear programming and interval analysis. Conventional local optimization is often very inefficient for BRDF estimation since its fitting quality is highly dependent on initial guesses due to the nonlinearity of analytical BRDF models. The algorithm presented in this paper employs L1-norm error minimization to estimate BRDF parameters in a globally optimal way and interval arithmetic to derive our feasibility problem and lower bounding function. Our method is developed for the Cook-Torrance model but with several normal distribution functions such as the Beckmann, Berry, and GGX functions. Experiments have been carried out to validate the presented method using 100 isotropic materials from the MERL BRDF database, and our experimental results demonstrate that the L1-norm minimization provides a more accurate and reliable solution than the L2-norm minimization.

  8. Pre-Modeling Ensures Accurate Solid Models

    ERIC Educational Resources Information Center

    Gow, George

    2010-01-01

    Successful solid modeling requires a well-organized design tree. The design tree is a list of all the object's features and the sequential order in which they are modeled. The solid-modeling process is faster and less prone to modeling errors when the design tree is a simple and geometrically logical definition of the modeled object. Few high…

  9. Models of Service Delivery for the Elderly Mentally Ill.

    ERIC Educational Resources Information Center

    VandeCreek, Leon

    This paper is concerned with the problem that elderly persons do not seek or receive mental health services as frequently as their numbers or the incidence of mental health problems would indicate is appropriate. The report focuses on the identification of innovative mental health service delivery programs which have been designed to reach and to…

  10. Measuring positive mental health in Canada: construct validation of the Mental Health Continuum-Short Form.

    PubMed

    Orpana, Heather; Vachon, Julie; Dykxhoorn, Jennifer; Jayaraman, Gayatri

    2017-04-01

    Positive mental health is increasingly recognized as an important focus for public health policies and programs. In Canada, the Mental Health Continuum-Short Form (MHC-SF) was identified as a promising measure to include on population surveys to measure positive mental health. It proposes to measure a three-factor model of positive mental health including emotional, social and psychological well-being. The purpose of this study was to examine whether the MHC-SF is an adequate measure of positive mental health for Canadian adults. We conducted confirmatory factor analysis (CFA) using data from the 2012 Canadian Community Health Survey (CCHS)-Mental Health Component (CCHS-MH), and cross-validated the model using data from the CCHS 2011-2012 annual cycle. We examined criterion-related validity through correlations of MHC-SF subscale scores with positively and negatively associated concepts (e.g. life satisfaction and psychological distress, respectively). We confirmed the validity of the three-factor model of emotional, social and psychological well-being through CFA on two independent samples, once four correlated errors between items on the social well-being scale were added. We observed significant correlations in the anticipated direction between emotional, psychological and social well-being scores and related concepts. Cronbach's alpha for both emotional and psychological well-being subscales was 0.82; for social well-being it was 0.77. Our study suggests that the MHC-SF measures a three-factor model of positive mental health in the Canadian population. However, caution is warranted when using the social well-being scale, which did not function as well as the other factors, as evidenced by the need to add several correlated error terms to obtain adequate model fit, a higher level of missing data on these questions and weaker correlations with related constructs. Social well-being is important in a comprehensive measure of positive mental health, and further

  11. An automatic and accurate method of full heart segmentation from CT image based on linear gradient model

    NASA Astrophysics Data System (ADS)

    Yang, Zili

    2017-07-01

    Heart segmentation is an important auxiliary method in the diagnosis of many heart diseases, such as coronary heart disease and atrial fibrillation, and in the planning of tumor radiotherapy. Most of the existing methods for full heart segmentation treat the heart as a whole part and cannot accurately extract the bottom of the heart. In this paper, we propose a new method based on linear gradient model to segment the whole heart from the CT images automatically and accurately. Twelve cases were tested in order to test this method and accurate segmentation results were achieved and identified by clinical experts. The results can provide reliable clinical support.

  12. Mental Models and other Misconceptions in Children's Understanding of the Earth

    ERIC Educational Resources Information Center

    Panagiotaki, Georgia; Nobes, Gavin; Potton, Anita

    2009-01-01

    This study investigated the claim (e.g., Vosniadou & Brewer's, 1992) that children have naive ''mental models'' of the earth and believe, for example, that the earth is flat or hollow. It tested the proposal that children appear to have these misconceptions because they find the researchers' tasks and questions to be confusing and ambiguous.…

  13. Development and community-based validation of eight item banks to assess mental health.

    PubMed

    Batterham, Philip J; Sunderland, Matthew; Carragher, Natacha; Calear, Alison L

    2016-09-30

    There is a need for precise but brief screening of mental health problems in a range of settings. The development of item banks to assess depression and anxiety has resulted in new adaptive and static screeners that accurately assess severity of symptoms. However, expansion to a wider array of mental health problems is required. The current study developed item banks for eight mental health problems: social anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder, adult attention-deficit hyperactivity disorder, drug use, psychosis and suicidality. The item banks were calibrated in a population-based Australian adult sample (N=3175) by administering large item pools (45-75 items) and excluding items on the basis of local dependence or measurement non-invariance. Item Response Theory parameters were estimated for each item bank using a two-parameter graded response model. Each bank consisted of 19-47 items, demonstrating excellent fit and precision across a range of -1 to 3 standard deviations from the mean. No previous study has developed such a broad range of mental health item banks. The calibrated item banks will form the basis of a new system of static and adaptive measures to screen for a broad array of mental health problems in the community. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  14. Addressing media stigma for people experiencing mental illness using an entertainment-education strategy.

    PubMed

    Ritterfeld, Ute; Jin, Seung-A

    2006-03-01

    This study examines the effects of Entertainment-Education strategy on knowledge acquisition about schizophrenia and stigma reduction, using pretest posttest control group and 2 X 3 (advocate's perspective X message style) between-subjects factorial design. Participants watched an accurate and empathetic movie portrayal of schizophrenia, followed by an educational trailer. Participants (N= 165) were randomly assigned to one of eight conditions (six manipulated conditions, control, a group who watched a trailer prior to the movie). Results showed that viewing an accurate and empathetic movie portrayal increased knowledge. The educational trailer increased not only knowledge acquisition but influenced stigma reduction. Structural equation modeling analysis revealed that entertainment and educational value of the movie mediated stigma reduction. Implications of this study to the mental health research and the design of Entertainment-Education contents are discussed.

  15. An accurate fatigue damage model for welded joints subjected to variable amplitude loading

    NASA Astrophysics Data System (ADS)

    Aeran, A.; Siriwardane, S. C.; Mikkelsen, O.; Langen, I.

    2017-12-01

    Researchers in the past have proposed several fatigue damage models to overcome the shortcomings of the commonly used Miner’s rule. However, requirements of material parameters or S-N curve modifications restricts their practical applications. Also, application of most of these models under variable amplitude loading conditions have not been found. To overcome these restrictions, a new fatigue damage model is proposed in this paper. The proposed model can be applied by practicing engineers using only the S-N curve given in the standard codes of practice. The model is verified with experimentally derived damage evolution curves for C 45 and 16 Mn and gives better agreement compared to previous models. The model predicted fatigue lives are also in better correlation with experimental results compared to previous models as shown in earlier published work by the authors. The proposed model is applied to welded joints subjected to variable amplitude loadings in this paper. The model given around 8% shorter fatigue lives compared to Eurocode given Miner’s rule. This shows the importance of applying accurate fatigue damage models for welded joints.

  16. Influences on decision-making for undergoing plastic surgery: a mental models and quantitative assessment.

    PubMed

    Darisi, Tanya; Thorne, Sarah; Iacobelli, Carolyn

    2005-09-01

    Research was conducted to gain insight into potential clients' decisions to undergo plastic surgery, their perception of benefits and risks, their judgment of outcomes, and their selection of a plastic surgeon. Semistructured, open-ended interviews were conducted with 60 people who expressed interest in plastic surgery. Qualitative analysis revealed their "mental models" regarding influences on their decision to undergo plastic surgery and their choice of a surgeon. Interview results were used to design a Web-based survey in which 644 individuals considering plastic surgery responded. The desire for change was the most direct motivator to undergo plastic surgery. Improvements to physical well-being were related to emotional and social benefits. When prompted about risks, participants mentioned physical, emotional, and social risks. Surgeon selection was a critical influence on decisions to undergo plastic surgery. Participants gave considerable weight to personal consultation and believed that finding the "right" plastic surgeon would minimize potential risks. Findings from the Web-based survey were similar to the mental models interviews in terms of benefit ratings but differed in risk ratings and surgeon selection criteria. The mental models interviews revealed that interview participants were thoughtful about their decision to undergo plastic surgery and focused on finding the right plastic surgeon.

  17. Homicide and mental illness in New Zealand, 1970-2000.

    PubMed

    Simpson, Alexander I F; McKenna, Brian; Moskowitz, Andrew; Skipworth, Jeremy; Barry-Walsh, Justin

    2004-11-01

    Homicides by mentally ill persons have led to political concerns about deinstitutionalisation. To provide accurate information about the contribution of mental illness to homicide rates. Retrospective study of homicide in New Zealand from 1970 to 2000, using data from government sources. 'Mentally abnormal homicide'perpetrators were defined as those found unfitto stand trial, not guilty by reason of insanity, convicted and sentenced to psychiatric committal, or convicted of infanticide. Group and time trends were analysed. Mentally abnormal homicides constituted 8.7% of the 1498 homicides. The annual rate of such homicides was 1.3 per million population, static over the period. Total homicides increased by over 6% per year from 1970 to 1990, then declined from 1990 to 2000. The percentage of all homicides committed by the mentally abnormal group fell from 19.5% in 1970 to 5.0% in 2000. Ten percent of perpetrators had been admitted to hospital during the month before the offence; 28.6% had had no prior contact with mental health services. Victims were most commonly known to the perpetrator (74%). Deinstitutionalisation appears not to be associated with an increased risk of homicide by people who are mentally ill.

  18. Application of a model for the development of a mental health service delivery collaboration between police and the health service.

    PubMed

    Laing, Robert; Halsey, Rebecca; Donohue, David; Newman, Claire; Cashin, Andrew

    2009-05-01

    Changing societal trends have revealed an increased prevalence of mental illness and diminished health resources from which to offer services. This has lead to a need to develop new and more efficient police and health service models of practice. Services offered by the police department in the management of mental health crisis in the community are essential in minimising the risk of individuals with mental health problems causing harm to themselves or a member of the public. In addressing the difficulties associated with police playing an important role in the management of mental health crisis in the community, but having little training in mental health issues, this paper discusses a proposed innovation for New South Wales police in Australia through the development of a Crisis Intervention Team model.

  19. An Asymmetrical Network Model of the Japanese EFL Learner's Mental Lexicon

    ERIC Educational Resources Information Center

    Aotani, Noriko; Sugino, Naoki; Fraser, Simon; Koga, Yuya; Shojima, Kojiro

    2016-01-01

    The aim of this study is to construct a model of a simple lexical network showing the strength and asymmetry of the connections between vocabulary items in the L2 mental lexicon of Japanese learners. The study focuses on eight nouns and investigates how they are networked, and whether the existing network structure formed by these nouns would be…

  20. Students' Mental Models with Respect to Flood Risk in the Netherlands

    ERIC Educational Resources Information Center

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

    2015-01-01

    Until now various quantitative studies have shown that adults and students in the Netherlands have low flood risk perceptions. In this study we interviewed fifty 15-year-old students in two different flood prone areas. In order to find out how they think and reason about the risk of flooding, the mental model approach was used. Flood risk turned…

  1. Modelling the effect of perceived interdependence among mental healthcare professionals on their work role performance.

    PubMed

    Markon, Marie-Pierre; Chiocchio, François; Fleury, Marie-Josée

    2017-07-01

    The purpose of mental healthcare system reform was to enhance service efficiency by strengthening primary mental healthcare and increasing service integration in communities. Reinforcing interprofessional teamwork also intended to address the extensive and multidimensional needs of patients with mental disorders by bringing together a broader array of expertise. In this context, mental healthcare professionals (MHCPs) from various health and social care professions are more interdependent in many aspects of their work (tasks, resources, and goals). We wanted to examine the effect of perceived interdependence among MHCPs on their work role performance in the context of mental healthcare. For this purpose, we developed and tested a model coherent with the Input-Mediator-Outcome-Input (IMOI) framework of team effectiveness. Data from questionnaires administered to 315 MHCPs from four local health service networks in Quebec, Canada were analysed through structural equation modelling and mediation analysis. The structural equation model provided a good fit for the data and explained 51% of the variance of work role performance. Perceived collaboration, confidence in the advantages of interprofessional collaboration, involvement in the decision process, knowledge sharing, and satisfaction with the nature of the work partially mediated the effect of perceived interdependence among team members on work role performance. Therefore, perceived interdependence among team members had a positive impact on the work role performance of MHCPs mostly through its effect on favourable team functioning features. This implies, in practice, that increased interdependence of MHCPs would be more likely to truly enhance work role performance if team-based interventions to promote collaborative work and interprofessional teaching and training programs to support work within interprofessional teams were jointly implemented. Participation in the decision process and knowledge sharing should

  2. Attitudes Towards Seeking Psychological Help: An Integrative Model Based on Contact, Essentialist Beliefs About Mental Illness, and Stigma.

    PubMed

    Hantzi, Alexandra; Anagnostopoulos, Fotios; Alexiou, Eva

    2018-06-16

    Based on intergroup contact theory, a proposed comprehensive model of attitudes towards seeking professional psychological help was tested, including both potential barriers to mental health help-seeking (i.e., public stigma and self-stigma of seeking help, prejudicial and essentialist beliefs about mental illness, intergroup anxiety) and potential facilitators (i.e., direct and extended contact with persons with mental illness). Relevant measures were completed by 119 community-dwelling participants. Path analysis showed that direct (but not extended) contact with mental illness, by reducing intergroup anxiety, led to less negative beliefs about mental illness and weaker essentialist beliefs about mental illness (the latter being directly and positively associated with negative beliefs about mental illness). Moreover, less negative beliefs about mental illness, by reducing perceptions of self (but not public) stigma of seeking psychological help, were related to more positive attitudes towards help-seeking. Results are discussed in the context of the (unintentional) adverse effects of biogenetic (essentialist) explanations of mental disorders, and the clinical implications regarding interventions that aim at improving help-seeking attitudes.

  3. 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.

  4. Using trauma informed care as a nursing model of care in an acute inpatient mental health unit: A practice development process.

    PubMed

    Isobel, Sophie; Edwards, Clair

    2017-02-01

    Without agreeing on an explicit approach to care, mental health nurses may resort to problem focused, task oriented practice. Defining a model of care is important but there is also a need to consider the philosophical basis of any model. The use of Trauma Informed Care as a guiding philosophy provides a robust framework from which to review nursing practice. This paper describes a nursing workforce practice development process to implement Trauma Informed Care as an inpatient model of mental health nursing care. Trauma Informed Care is an evidence-based approach to care delivery that is applicable to mental health inpatient units; while there are differing strategies for implementation, there is scope for mental health nurses to take on Trauma Informed Care as a guiding philosophy, a model of care or a practice development project within all of their roles and settings in order to ensure that it has considered, relevant and meaningful implementation. The principles of Trauma Informed Care may also offer guidance for managing workforce stress and distress associated with practice change. © 2016 Australian College of Mental Health Nurses Inc.

  5. The cross-national structure of mental disorders: results from the World Mental Health Surveys.

    PubMed

    de Jonge, Peter; Wardenaar, Klaas J; Lim, Carmen C W; Aguilar-Gaxiola, Sergio; Alonso, Jordi; Andrade, Laura Helena; Bunting, Brendan; Chatterji, Somnath; Ciutan, Marius; Gureje, Oye; Karam, Elie G; Lee, Sing; Medina-Mora, Maria Elena; Moskalewicz, Jacek; Navarro-Mateu, Fernando; Pennell, Beth-Ellen; Piazza, Marina; Posada-Villa, José; Torres, Yolanda; Kessler, Ronald C; Scott, Kate

    2017-12-19

    The patterns of comorbidity among mental disorders have led researchers to model the underlying structure of psychopathology. While studies have suggested a structure including internalizing and externalizing disorders, less is known with regard to the cross-national stability of this model. Moreover, little data are available on the placement of eating disorders, bipolar disorder and psychotic experiences (PEs) in this structure. We evaluated the structure of mental disorders with data from the World Health Organization Composite International Diagnostic Interview, including 15 lifetime mental disorders and six PEs. Respondents (n = 5478-15 499) were included from 10 high-, middle- and lower middle-income countries across the world aged 18 years or older. Confirmatory factor analyses (CFAs) were used to evaluate and compare the fit of different factor structures to the lifetime disorder data. Measurement invariance was evaluated with multigroup CFA (MG-CFA). A second-order model with internalizing and externalizing factors and fear and distress subfactors best described the structure of common mental disorders. MG-CFA showed that this model was stable across countries. Of the uncommon disorders, bipolar disorder and eating disorder were best grouped with the internalizing factor, and PEs with a separate factor. These results indicate that cross-national patterns of lifetime common mental-disorder comorbidity can be explained with a second-order underlying structure that is stable across countries and can be extended to also cover less common mental disorders.

  6. Inferring a dual-stream model of mentalizing from associative white matter fibres disconnection.

    PubMed

    Herbet, Guillaume; Lafargue, Gilles; Bonnetblanc, François; Moritz-Gasser, Sylvie; Menjot de Champfleur, Nicolas; Duffau, Hugues

    2014-03-01

    In the field of cognitive neuroscience, it is increasingly accepted that mentalizing is subserved by a complex frontotemporoparietal cortical network. Some researchers consider that this network can be divided into two distinct but interacting subsystems (the mirror system and the mentalizing system per se), which respectively process low-level, perceptive-based aspects and high-level, inference-based aspects of this sociocognitive function. However, evidence for this type of functional dissociation in a given neuropsychological population is currently lacking and the structural connectivities of the two mentalizing subnetworks have not been established. Here, we studied mentalizing in a large sample of patients (n = 93; 46 females; age range: 18-65 years) who had been resected for diffuse low-grade glioma-a rare tumour that migrates preferentially along associative white matter pathways. This neurological disorder constitutes an ideal pathophysiological model in which to study the functional anatomy of associative pathways. We mapped the location of each patient's resection cavity and residual lesion infiltration onto the Montreal Neurological Institute template brain and then performed multilevel lesion analyses (including conventional voxel-based lesion-symptom mapping and subtraction lesion analyses). Importantly, we estimated each associative pathway's degree of disconnection (i.e. the degree of lesion infiltration) and built specific hypotheses concerning the connective anatomy of the mentalizing subnetworks. As expected, we found that impairments in mentalizing were mainly related to the disruption of right frontoparietal connectivity. More specifically, low-level and high-level mentalizing accuracy were correlated with the degree of disconnection in the arcuate fasciculus and the cingulum, respectively. To the best of our knowledge, our findings constitute the first experimental data on the structural connectivity of the mentalizing network and suggest the

  7. Use of Online Forums for Perinatal Mental Illness, Stigma, and Disclosure: An Exploratory Model.

    PubMed

    Moore, Donna; Drey, Nicholas; Ayers, Susan

    2017-02-20

    Perinatal mental illness is a global health concern; however, many women with the illness do not get the treatment they need to recover. Interventions that reduce the stigma around perinatal mental illness have the potential to enable women to disclose their symptoms to health care providers and consequently access treatment. There are many online forums for perinatal mental illness and thousands of women use them. Preliminary research suggests that online forums may promote help-seeking behavior, potentially because they have a role in challenging stigma. This study draws from these findings and theoretical concepts to present a model of forum use, stigma, and disclosure. This study tested a model that measured the mediating role of stigma between online forum use and disclosure of affective symptoms to health care providers. A Web-based survey of 200 women who were pregnant or had a child younger than 5 years and considered themselves to be experiencing psychological distress was conducted. Women were recruited through social media and questions measured forum usage, perinatal mental illness stigma, disclosure to health care providers, depression and anxiety symptoms, barriers to disclosure, and demographic information. There was a significant positive indirect effect of length of forum use on disclosure of symptoms through internal stigma, b=0.40, bias-corrected and accelerated (BCa) 95% CI 0.13-0.85. Long-term forum users reported higher levels of internal stigma, and higher internal stigma was associated with disclosure of symptoms to health care providers when controlling for symptoms of depression and anxiety. Internal stigma mediates the relationship between length of forum use and disclosure to health care providers. Findings suggest that forums have the potential to enable women to recognize and reveal their internal stigma, which may in turn lead to greater disclosure of symptoms to health care providers. Clinicians could refer clients to trustworthy and

  8. A Two-Phase Space Resection Model for Accurate Topographic Reconstruction from Lunar Imagery with PushbroomScanners

    PubMed Central

    Xu, Xuemiao; Zhang, Huaidong; Han, Guoqiang; Kwan, Kin Chung; Pang, Wai-Man; Fang, Jiaming; Zhao, Gansen

    2016-01-01

    Exterior orientation parameters’ (EOP) estimation using space resection plays an important role in topographic reconstruction for push broom scanners. However, existing models of space resection are highly sensitive to errors in data. Unfortunately, for lunar imagery, the altitude data at the ground control points (GCPs) for space resection are error-prone. Thus, existing models fail to produce reliable EOPs. Motivated by a finding that for push broom scanners, angular rotations of EOPs can be estimated independent of the altitude data and only involving the geographic data at the GCPs, which are already provided, hence, we divide the modeling of space resection into two phases. Firstly, we estimate the angular rotations based on the reliable geographic data using our proposed mathematical model. Then, with the accurate angular rotations, the collinear equations for space resection are simplified into a linear problem, and the global optimal solution for the spatial position of EOPs can always be achieved. Moreover, a certainty term is integrated to penalize the unreliable altitude data for increasing the error tolerance. Experimental results evidence that our model can obtain more accurate EOPs and topographic maps not only for the simulated data, but also for the real data from Chang’E-1, compared to the existing space resection model. PMID:27077855

  9. A Two-Phase Space Resection Model for Accurate Topographic Reconstruction from Lunar Imagery with PushbroomScanners.

    PubMed

    Xu, Xuemiao; Zhang, Huaidong; Han, Guoqiang; Kwan, Kin Chung; Pang, Wai-Man; Fang, Jiaming; Zhao, Gansen

    2016-04-11

    Exterior orientation parameters' (EOP) estimation using space resection plays an important role in topographic reconstruction for push broom scanners. However, existing models of space resection are highly sensitive to errors in data. Unfortunately, for lunar imagery, the altitude data at the ground control points (GCPs) for space resection are error-prone. Thus, existing models fail to produce reliable EOPs. Motivated by a finding that for push broom scanners, angular rotations of EOPs can be estimated independent of the altitude data and only involving the geographic data at the GCPs, which are already provided, hence, we divide the modeling of space resection into two phases. Firstly, we estimate the angular rotations based on the reliable geographic data using our proposed mathematical model. Then, with the accurate angular rotations, the collinear equations for space resection are simplified into a linear problem, and the global optimal solution for the spatial position of EOPs can always be achieved. Moreover, a certainty term is integrated to penalize the unreliable altitude data for increasing the error tolerance. Experimental results evidence that our model can obtain more accurate EOPs and topographic maps not only for the simulated data, but also for the real data from Chang'E-1, compared to the existing space resection model.

  10. Mental health consultant to law enforcement: Secret Service development of a Mental Health Liaison Program.

    PubMed

    Coggins, M H; Pynchon, M R

    1998-01-01

    The Mental Health Liaison Program developed and used by the Secret Service is presented as a model for comprehensive, multidimensional interactions between law enforcement and mental health systems, with particular focus on assessing and preventing violent behavior. The structure of the program pairs consultants--psychologists and psychiatrists--with Secret Service field offices to provide (a) consultation regarding risk assessment and case management of individuals who threaten or display inappropriate interest in the President or other protectees; (b) training for agents on risk assessment, mental illness, and mental health care issues; and (c) liaison activities between the Secret Service and the mental health community. Practical benefits to the Secret Service are discussed to encourage more systematic use of broad based psychological and psychiatric consultation to law enforcement, with a goal of enhanced intersystem communication and collaboration. The need for program evaluation and outcome research is discussed in the context of applying the model to improve other mental health and law enforcement systems interactions.

  11. Enhancing Direct Instruction on Introductory Physics for Supporting Students' Mental-Modeling Ability

    ERIC Educational Resources Information Center

    Mansyur, Jusman; Darsikin

    2016-01-01

    This paper describes an instructional design for introductory physics that integrates previous research results of physics problem-solving and the use of external representation into direct instruction (DI). The research is a part of research in obtaining an established instructional design to support mental-modeling ability. By integrating with…

  12. It Takes One to Know One: A Class Exercise in Mental Models

    ERIC Educational Resources Information Center

    Wilson, Theresa

    2014-01-01

    An active learning class exercise is presented that gives students the personal experience of the decision-making limitations of mental models. This innovative exercise was shown to increase student learning through greater understanding of the concept and higher retention of knowledge. The results suggest that student critical thinking skills…

  13. Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes.

    PubMed

    Castelli, Fulvia; Frith, Chris; Happé, Francesca; Frith, Uta

    2002-08-01

    Ten able adults with autism or Asperger syndrome and 10 normal volunteers were PET scanned while watching animated sequences. The animations depicted two triangles moving about on a screen in three different conditions: moving randomly, moving in a goal-directed fashion (chasing, fighting), and moving interactively with implied intentions (coaxing, tricking). The last condition frequently elicited descriptions in terms of mental states that viewers attributed to the triangles (mentalizing). The autism group gave fewer and less accurate descriptions of these latter animations, but equally accurate descriptions of the other animations compared with controls. While viewing animations that elicited mentalizing, in contrast to randomly moving shapes, the normal group showed increased activation in a previously identified mentalizing network (medial prefrontal cortex, superior temporal sulcus at the temporo-parietal junction and temporal poles). The autism group showed less activation than the normal group in all these regions. However, one additional region, extrastriate cortex, which was highly active when watching animations that elicited mentalizing, showed the same amount of increased activation in both groups. In the autism group this extrastriate region showed reduced functional connectivity with the superior temporal sulcus at the temporo-parietal junction, an area associated with the processing of biological motion as well as with mentalizing. This finding suggests a physiological cause for the mentalizing dysfunction in autism: a bottleneck in the interaction between higher order and lower order perceptual processes.

  14. Assessing the similarity of mental models of operating room team members and implications for patient safety: a prospective, replicated study.

    PubMed

    Nakarada-Kordic, Ivana; Weller, Jennifer M; Webster, Craig S; Cumin, David; Frampton, Christopher; Boyd, Matt; Merry, Alan F

    2016-08-31

    Patient safety depends on effective teamwork. The similarity of team members' mental models - or their shared understanding-regarding clinical tasks is likely to influence the effectiveness of teamwork. Mental models have not been measured in the complex, high-acuity environment of the operating room (OR), where professionals of different backgrounds must work together to achieve the best surgical outcome for each patient. Therefore, we aimed to explore the similarity of mental models of task sequence and of responsibility for task within multidisciplinary OR teams. We developed a computer-based card sorting tool (Momento) to capture the information on mental models in 20 six-person surgical teams, each comprised of three subteams (anaesthesia, surgery, and nursing) for two simulated laparotomies. Team members sorted 20 cards depicting key tasks according to when in the procedure each task should be performed, and which subteam was primarily responsible for each task. Within each OR team and subteam, we conducted pairwise comparisons of scores to arrive at mean similarity scores for each task. Mean similarity score for task sequence was 87 % (range 57-97 %). Mean score for responsibility for task was 70 % (range = 38-100 %), but for half of the tasks was only 51 % (range = 38-69 %). Participants believed their own subteam was primarily responsible for approximately half the tasks in each procedure. We found differences in the mental models of some OR team members about responsibility for and order of certain tasks in an emergency laparotomy. Momento is a tool that could help elucidate and better align the mental models of OR team members about surgical procedures and thereby improve teamwork and outcomes for patients.

  15. Predicting Help-Seeking Attitudes Toward Mental Health Services Among American Indian Older Adults: Is Andersen's Behavioral Model a Good Fit?

    PubMed

    Roh, Soonhee; Burnette, Catherine E; Lee, Kyoung Hag; Lee, Yeon-Shim; Martin, James I; Lawler, Michael J

    2017-01-01

    American Indian (AI) older adults are vulnerable to mental health disparities, yet very little is known about the factors associated with help-seeking for mental health services among them. The purpose of this study was to investigate the utility of Andersen's Behavioral Model in explaining AI older adults' help-seeking attitudes toward professional mental health services. Hierarchical regression analysis was used to examine predisposing, enabling, and need variables as predictors of help-seeking attitudes toward mental health services in a sample of 233 AI older adults from the Midwest. The model was found to have limited utility in the context of older AI help-seeking attitudes, as the proportion of explained variance was low. Gender, perceived stigma, social support, and physical health were significant predictors, whereas age, perceived mental health, and health insurance were not. © The Author(s) 2014.

  16. The need for a behavioural science focus in research on mental health and mental disorders.

    PubMed

    Wittchen, Hans-Ulrich; Knappe, Susanne; Andersson, Gerhard; Araya, Ricardo; Banos Rivera, Rosa M; Barkham, Michael; Bech, Per; Beckers, Tom; Berger, Thomas; Berking, Matthias; Berrocal, Carmen; Botella, Christina; Carlbring, Per; Chouinard, Guy; Colom, Francesc; Csillag, Claudio; Cujipers, Pim; David, Daniel; Emmelkamp, Paul M G; Essau, Cecilia A; Fava, Giovanni A; Goschke, Thomas; Hermans, Dirk; Hofmann, Stefan G; Lutz, Wolfgang; Muris, Peter; Ollendick, Thomas H; Raes, Filip; Rief, Winfried; Riper, Heleen; Tossani, Eliana; van der Oord, Saskia; Vervliet, Bram; Haro, Josep M; Schumann, Gunter

    2014-01-01

    Psychology as a science offers an enormous diversity of theories, principles, and methodological approaches to understand mental health, abnormal functions and behaviours and mental disorders. A selected overview of the scope, current topics as well as strength and gaps in Psychological Science may help to depict the advances needed to inform future research agendas specifically on mental health and mental disorders. From an integrative psychological perspective, most maladaptive health behaviours and mental disorders can be conceptualized as the result of developmental dysfunctions of psychological functions and processes as well as neurobiological and genetic processes that interact with the environment. The paper presents and discusses an integrative translational model, linking basic and experimental research with clinical research as well as population-based prospective-longitudinal studies. This model provides a conceptual framework to identify how individual vulnerabilities interact with environment over time, and promote critical behaviours that might act as proximal risk factors for ill-health and mental disorders. Within the models framework, such improved knowledge is also expected to better delineate targeted preventive and therapeutic interventions that prevent further escalation in early stages before the full disorder and further complications thereof develop. In contrast to conventional "personalized medicine" that typically targets individual (genetic) variation of patients who already have developed a disease to improve medical treatment, the proposed framework model, linked to a concerted funding programme of the "Science of Behaviour Change", carries the promise of improved diagnosis, treatment and prevention of health-risk behaviour constellations as well as mental disorders. Copyright © 2013 John Wiley & Sons, Ltd.

  17. Defining Quality of Life in the Children of Parents with Severe Mental Illness: A Preliminary Stakeholder-Led Model

    PubMed Central

    Bee, Penny; Berzins, Kathryn; Calam, Rachel; Pryjmachuk, Steven; Abel, Kathryn M.

    2013-01-01

    Severe parental mental illness poses a challenge to quality of life (QoL) in a substantial number of children and adolescents, and improving the lives of these children is of urgent political and public health concern. This study used a bottom-up qualitative approach to develop a new stakeholder-led model of quality of life relevant to this population. Qualitative data were collected from 19 individuals participating in focus groups or individual interviews. Participants comprised 8 clinical academics, health and social care professionals or voluntary agency representatives; 5 parents and 6 young people (aged 13–18 yrs) with lived experience of severe parental mental illness. Data underwent inductive thematic analysis for the purposes of informing a population-specific quality of life model. Fifty nine individual themes were identified and grouped into 11 key ‘meta-themes’. Mapping each meta-theme against existing child-centred quality of life concepts revealed a multi-dimensional model that endorsed, to a greater or lesser degree, the core domains of generic quality of life models. Three new population-specific priorities were also observed: i) the alleviation of parental mental health symptoms, ii) improved problem-based coping skills and iii) increased mental health literacy. The identification of these priorities raises questions regarding the validity of generic quality of life measures to monitor the effectiveness of services for families and children affected by severe mental illness. New, age-appropriate instruments that better reflect the life priorities and unique challenges faced by the children of parents with severe mental illness may need to be developed. Challenges then remain in augmenting and adapting service design and delivery mechanisms better to meet these needs. Future child and adult mental health services need to work seamlessly alongside statutory education and social care services and a growing number of relevant third sector

  18. Defining quality of life in the children of parents with severe mental illness: a preliminary stakeholder-led model.

    PubMed

    Bee, Penny; Berzins, Kathryn; Calam, Rachel; Pryjmachuk, Steven; Abel, Kathryn M

    2013-01-01

    Severe parental mental illness poses a challenge to quality of life (QoL) in a substantial number of children and adolescents, and improving the lives of these children is of urgent political and public health concern. This study used a bottom-up qualitative approach to develop a new stakeholder-led model of quality of life relevant to this population. Qualitative data were collected from 19 individuals participating in focus groups or individual interviews. Participants comprised 8 clinical academics, health and social care professionals or voluntary agency representatives; 5 parents and 6 young people (aged 13-18 yrs) with lived experience of severe parental mental illness. Data underwent inductive thematic analysis for the purposes of informing a population-specific quality of life model. Fifty nine individual themes were identified and grouped into 11 key 'meta-themes'. Mapping each meta-theme against existing child-centred quality of life concepts revealed a multi-dimensional model that endorsed, to a greater or lesser degree, the core domains of generic quality of life models. Three new population-specific priorities were also observed: i) the alleviation of parental mental health symptoms, ii) improved problem-based coping skills and iii) increased mental health literacy. The identification of these priorities raises questions regarding the validity of generic quality of life measures to monitor the effectiveness of services for families and children affected by severe mental illness. New, age-appropriate instruments that better reflect the life priorities and unique challenges faced by the children of parents with severe mental illness may need to be developed. Challenges then remain in augmenting and adapting service design and delivery mechanisms better to meet these needs. Future child and adult mental health services need to work seamlessly alongside statutory education and social care services and a growing number of relevant third sector providers to

  19. Intelligent quotient estimation of mental retarded people from different psychometric instruments using artificial neural networks.

    PubMed

    Di Nuovo, Alessandro G; Di Nuovo, Santo; Buono, Serafino

    2012-02-01

    The estimation of a person's intelligence quotient (IQ) by means of psychometric tests is indispensable in the application of psychological assessment to several fields. When complex tests as the Wechsler scales, which are the most commonly used and universally recognized parameter for the diagnosis of degrees of retardation, are not applicable, it is necessary to use other psycho-diagnostic tools more suited for the subject's specific condition. But to ensure a homogeneous diagnosis it is necessary to reach a common metric, thus, the aim of our work is to build models able to estimate accurately and reliably the Wechsler IQ, starting from different psycho-diagnostic tools. Four different psychometric tests (Leiter international performance scale; coloured progressive matrices test; the mental development scale; psycho educational profile), along with the Wechsler scale, were administered to a group of 40 mentally retarded subjects, with various pathologies, and control persons. The obtained database is used to evaluate Wechsler IQ estimation models starting from the scores obtained in the other tests. Five modelling methods, two statistical and three from machine learning, that belong to the family of artificial neural networks (ANNs) are employed to build the estimator. Several error metrics for estimated IQ and for retardation level classification are defined to compare the performance of the various models with univariate and multivariate analyses. Eight empirical studies show that, after ten-fold cross-validation, best average estimation error is of 3.37 IQ points and mental retardation level classification error of 7.5%. Furthermore our experiments prove the superior performance of ANN methods over statistical regression ones, because in all cases considered ANN models show the lowest estimation error (from 0.12 to 0.9 IQ points) and the lowest classification error (from 2.5% to 10%). Since the estimation performance is better than the confidence interval of

  20. Partnerships for community mental health in the Asia-Pacific: principles and best-practice models across different sectors.

    PubMed

    Ng, Chee; Fraser, Julia; Goding, Margaret; Paroissien, David; Ryan, Brigid

    2013-02-01

    Stage Two of the Asia-Pacific Community Mental Health Development Project was established to document successful partnership models in community mental health care in the region. This paper summarizes the best-practice examples and principles of partnerships in community mental health across 17 Asia-Pacific countries. A series of consensus workshops between countries identified best-practice exemplars that promote or advance community mental health care in collaboration with a range of community stakeholders. These prototypes highlighted a broad range of partnerships across government, non-government and community agencies, as well as service users and family carers. From practice-based evidence, a set of 10 key principles was developed that can be applied in building partnerships for community mental health care consistent with the local cultures, communities and systems in the region. Such practical guidance can be useful to minimize fragmentation of community resources and promote effective partnerships to extend community mental health services in the region.

  1. Elementary School Students' Mental Models about Formation of Seasons: A Cross Sectional Study

    ERIC Educational Resources Information Center

    Türk, Cumhur; Kalkan, Hüseyin; Kiroglu, Kasim; Ocak Iskeleli, Nazan

    2016-01-01

    The purpose of this study is to determine the mental models of elementary school students on seasons and to analyze how these models change in terms of grade levels. The study was conducted with 294 students (5th, 6th, 7th and 8th graders) studying in an elementary school of Turkey's Black Sea Region. Qualitative and quantitative data collection…

  2. Developing Mental Models about Air Using Inquiry-Based Instruction with Kindergartners

    ERIC Educational Resources Information Center

    Van Hook, Stephen; Huziak, Tracy; Nowak, Katherine

    2005-01-01

    This study examines the development of mental models of air by kindergarten students after completing a series of hands-on, inquiry-based science lessons. The lessons focused on two properties of air: (1) that air takes up space and (2) that it is made of particles ("balls of air"). The students were interviewed about their ideas of air and about…

  3. E-learning optimization: the relative and combined effects of mental practice and modeling on enhanced podcast-based learning-a randomized controlled trial.

    PubMed

    Alam, Fahad; Boet, Sylvain; Piquette, Dominique; Lai, Anita; Perkes, Christopher P; LeBlanc, Vicki R

    2016-10-01

    Enhanced podcasts increase learning, but evidence is lacking on how they should be designed to optimize their effectiveness. This study assessed the impact two learning instructional design methods (mental practice and modeling), either on their own or in combination, for teaching complex cognitive medical content when incorporated into enhanced podcasts. Sixty-three medical students were randomised to one of four versions of an airway management enhanced podcast: (1) control: narrated presentation; (2) modeling: narration with video demonstration of skills; (3) mental practice: narrated presentation with guided mental practice; (4) combined: modeling and mental practice. One week later, students managed a manikin-based simulated airway crisis. Knowledge acquisition was assessed by baseline and retention multiple-choice quizzes. Two blinded raters assessed all videos obtained from simulated crises to measure the students' skills using a key-elements scale, critical error checklist, and the Ottawa global rating scale (GRS). Baseline knowledge was not different between all four groups (p = 0.65). One week later, knowledge retention was significantly higher for (1) both the mental practice and modeling group than the control group (p = 0.01; p = 0.01, respectively) and (2) the combined mental practice and modeling group compared to all other groups (all ps = 0.01). Regarding skills acquisition, the control group significantly under-performed in comparison to all other groups on the key-events scale (all ps ≤ 0.05), the critical error checklist (all ps ≤ 0.05), and the Ottawa GRS (all ps ≤ 0.05). The combination of mental practice and modeling led to greater improvement on the key events checklist (p = 0.01) compared to either strategy alone. However, the combination of the two strategies did not result in any further learning gains on the two other measures of clinical performance (all ps > 0.05). The effectiveness of enhanced podcasts for

  4. The effectiveness of clinical teaching of mental health courses in nursing using clinical supervision and Kirkpatrick's model.

    PubMed

    Maddineshat, Maryam; Hashemi, Mitra; Besharati, Reza; Gholami, Sepideh; Ghavidel, Fatemeh

    2018-01-01

    Clinical experience associated with the fear and anxiety of nursing students in the psychiatric unit. Mental health nursing instructors find it challenging to teach nursing students to deal with patients with mental disorders in an environment where they need to provide patient teaching and clinical decision-making based on evidence and new technology. To measure the effectiveness of clinical teaching of mental health courses in nursing using clinical supervision and Kirkpatrick's model evaluation in the psychiatry unit of Imam Reza Hospital, Bojnurd, Iran. This cross-sectional study was carried out from 2011 to 2016 on 76 nursing students from a university as part of a clinical mental health course in two semesters. The students were selected by a non-probable convenient sampling method. After completing their clinical education, each student responded to checklist questions based on the four-level Kirkpatrick's model evaluation and open questions relating to clinical supervision. Finally, all data was analyzed using the SPSS version 16. The students have evaluated clinical supervision as a useful approach, and appreciated the instructor's supportive behavior during teaching and imparting clinical skills. This has made them feel relaxed at the end of the clinical teaching course. In addition, in the evaluation through Kirkpatrick's model, more than 70% of the students have been satisfied with the method of conducting the teaching and average score of nursing students' attitude toward mental health students: Their mean self-confidence score was 18.33±1.69, and the mean score of their performance in the study was evaluated to be 93.74±5.3 from 100 points. The results of clinical mental health teaching through clinical supervision and Kirkpatrick's model evaluation show that the satisfaction, self-esteem, attitude, and skill of nursing students are excellent, thereby portraying the effectiveness of clinical teaching. But this program still needs to be reformed. To

  5. A Small Dose of HIV? HIV Vaccine Mental Models and Risk Communication

    ERIC Educational Resources Information Center

    Newman, Peter A.; Seiden, Danielle S.; Roberts, Kathleen J.; Kakinami, Lisa; Duan, Naihua

    2009-01-01

    Existing knowledge and beliefs related to HIV vaccines provide an important basis for the development of risk communication messages to support future HIV vaccine dissemination. This study explored HIV vaccine mental models among adults from segments of the population disproportionately affected by HIV/AIDS. Nine focus groups were conducted with…

  6. A Mental Models Approach to Assessing Public Understanding of Zika Virus, Guatemala.

    PubMed

    Southwell, Brian G; Ray, Sarah E; Vazquez, Natasha N; Ligorria, Tere; Kelly, Bridget J

    2018-05-01

    Mental models are cognitive representations of phenomena that can constrain efforts to reduce infectious disease. In a study of Zika virus awareness in Guatemala, many participants referred to experiences with other mosquitoborne diseases during discussions of Zika virus. These results highlight the importance of past experiences for Zika virus understanding.

  7. Intentional Modelling: A Process for Clinical Leadership Development in Mental Health Nursing.

    PubMed

    Ennis, Gary; Happell, Brenda; Reid-Searl, Kerry

    2016-05-01

    Clinical leadership is becoming more relevant for nurses, as the positive impact that it can have on the quality of care and outcomes for consumers is better understood and more clearly articulated in the literature. As clinical leadership continues to become more relevant, the need to gain an understanding of how clinical leaders in nursing develop will become increasingly important. While the attributes associated with effective clinical leadership are recognized in current literature there remains a paucity of research on how clinical leaders develop these attributes. This study utilized a grounded theory methodology to generate new insights into the experiences of peer identified clinical leaders in mental health nursing and the process of developing clinical leadership skills. Participants in this study were nurses working in a mental health setting who were identified as clinical leaders by their peers as opposed to identifying them by their role or organizational position. A process of intentional modeling emerged as the substantive theory identified in this study. Intentional modeling was described by participants in this study as a process that enabled them to purposefully identify models that assisted them in developing the characteristics of effective clinical leaders as well as allowing them to model these characteristics to others. Reflection on practice is an important contributor to intentional modelling. Intentional modelling could be developed as a framework for promoting knowledge and skill development in the area of clinical leadership.

  8. Learning Mathematics in a Visuospatial Format: A Randomized, Controlled Trial of Mental Abacus Instruction

    ERIC Educational Resources Information Center

    Barner, David; Alvarez, George; Sullivan, Jessica; Brooks, Neon; Srinivasan, Mahesh; Frank, Michael C.

    2016-01-01

    Mental abacus (MA) is a technique of performing fast, accurate arithmetic using a mental image of an abacus; experts exhibit astonishing calculation abilities. Over 3 years, 204 elementary school students (age range at outset: 5-7 years old) participated in a randomized, controlled trial to test whether MA expertise (a) can be acquired in standard…

  9. Measuring positive mental health in Canada: construct validation of the Mental Health Continuum—Short Form

    PubMed Central

    Heather, Orpana; Julie, Vachon; Jennifer, Dykxhoorn; Gayatri, Jayaraman

    2017-01-01

    Abstract Introduction: Positive mental health is increasingly recognized as an important focus for public health policies and programs. In Canada, the Mental Health Continuum— Short Form (MHC-SF) was identified as a promising measure to include on population surveys to measure positive mental health. It proposes to measure a three-factor model of positive mental health including emotional, social and psychological well-being. The purpose of this study was to examine whether the MHC-SF is an adequate measure of positive mental health for Canadian adults. Methods: We conducted confirmatory factor analysis (CFA) using data from the 2012 Canadian Community Health Survey (CCHS)—Mental Health Component (CCHS-MH), and cross-validated the model using data from the CCHS 2011–2012 annual cycle. We examined criterion-related validity through correlations of MHC-SF subscale scores with positively and negatively associated concepts (e.g. life satisfaction and psychological distress, respectively). Results: We confirmed the validity of the three-factor model of emotional, social and psychological well-being through CFA on two independent samples, once four correlated errors between items on the social well-being scale were added. We observed significant correlations in the anticipated direction between emotional, psychological and social well-being scores and related concepts. Cronbach’s alpha for both emotional and psychological well-being subscales was 0.82; for social well-being it was 0.77. Conclusion: Our study suggests that the MHC-SF measures a three-factor model of positive mental health in the Canadian population. However, caution is warranted when using the social well-being scale, which did not function as well as the other factors, as evidenced by the need to add several correlated error terms to obtain adequate model fit, a higher level of missing data on these questions and weaker correlations with related constructs. Social well-being is important in a

  10. Mental health and inequity: a human rights approach to inequality, discrimination, and mental disability.

    PubMed

    Burns, Jonathan Kenneth

    2009-01-01

    Mental disability and mental health care have been neglected in the discourse around health, human rights, and equality. This is perplexing as mental disabilities are pervasive, affecting approximately 8% of the world population. Furthermore, the experience of persons with mental disability is one characterized by multiple interlinked levels of inequality and discrimination within society. Efforts directed toward achieving formal equality should not stand alone without similar efforts to achieve substantive equality for persons with mental disabilities. Structural factors such as poverty, inequality, homelessness, and discrimination contribute to risk for mental disability and impact negatively on the course and outcome of such disabilities. A human rights approach to mental disability means affirming the full personhood of those with mental disabilities by respecting their inherent dignity, their individual autonomy and independence, and their freedom to make their own choices. A rights-based approach requires us to examine and transform the language, terminology, and models of mental disability that have previously prevailed especially within health discourse. Such an approach also requires us to examine the multiple ways in which inequality and discrimination characterize the lives of persons with mental disabilities and to formulate a response based on a human rights framework. In this article, I examine issues of terminology, models of understanding mental disability, and the implications of international treaties such as the United Nations Convention on the Rights of Persons with Disabilities for our response to the inequalities and discrimination that exist within society--both within and outside the health care system. Finally, while acknowledging that health care professionals have a role to play as advocates for equality, non-discrimination, and justice, I argue that it is persons with mental disabilities themselves who have the right to exercise agency

  11. Mental object rotation in Parkinson's disease.

    PubMed

    Crucian, Gregory P; Barrett, Anna M; Burks, David W; Riestra, Alonso R; Roth, Heidi L; Schwartz, Ronald L; Triggs, William J; Bowers, Dawn; Friedman, William; Greer, Melvin; Heilman, Kenneth M

    2003-11-01

    Deficits in visual-spatial ability can be associated with Parkinson's disease (PD), and there are several possible reasons for these deficits. Dysfunction in frontal-striatal and/or frontal-parietal systems, associated with dopamine deficiency, might disrupt cognitive processes either supporting (e.g., working memory) or subserving visual-spatial computations. The goal of this study was to assess visual-spatial orientation ability in individuals with PD using the Mental Rotations Test (MRT), along with other measures of cognitive function. Non-demented men with PD were significantly less accurate on this test than matched control men. In contrast, women with PD performed similarly to matched control women, but both groups of women did not perform much better than chance. Further, mental rotation accuracy in men correlated with their executive skills involving mental processing and psychomotor speed. In women with PD, however, mental rotation accuracy correlated negatively with verbal memory, indicating that higher mental rotation performance was associated with lower ability in verbal memory. These results indicate that PD is associated with visual-spatial orientation deficits in men. Women with PD and control women both performed poorly on the MRT, possibly reflecting a floor effect. Although men and women with PD appear to engage different cognitive processes in this task, the reason for the sex difference remains to be elucidated.

  12. A systematic review of the literature exploring illness perceptions in mental health utilising the self-regulation model.

    PubMed

    Baines, Tineke; Wittkowski, Anja

    2013-09-01

    Psychologists have utilised a range of social cognition models to understand variation in physical health and illness-related behaviours. The most widely studied model of illness perceptions has been the Self-Regulation Model (SRM, Leventhal, Nerenz, & Steele, 1984). The illness perceptions questionnaire (IPQ) and its revised version (IPQ-R) have been utilised to explore illness beliefs in physical health. This review examined 13 quantitative studies, which used the IPQ and IPQ-R in mental health in their exploration of illness perceptions in psychosis, bipolar disorder, eating disorders, depression and adolescents experiencing mood disorders. Across these studies the SRM illness dimensions were largely supported. Mental illnesses were commonly viewed as cyclical and chronic, with serious negative consequences. Perceptions regarding chronicity, controllability and negative consequences were associated with coping and help seeking, while engagement with services and help seeking were also related to illness coherence beliefs. Treatment adherence was linked to beliefs that treatment could control one's illness. Whilst a major limitation of the reviewed studies was the use of cross-sectional designs, overall the applicability of the SRM to mental health was supported. The IPQ and IPQ-R were shown to be valuable measures of illness perceptions in mental health, offering implications for clinical practice.

  13. Mental models and language registers in the psychoanalysis of psychosis: an overview of a thirteen-year analysis.

    PubMed

    Lombardi, Riccardo

    2003-08-01

    The author suggests that the use of mental models and language registers may help an analysis to proceed, especially in psychosis, when the patient has not yet developed a mental space that will allow him/her the functions of knowledge and containment of emotions. Models, according to Bion, are a primitive approach to abstraction and a manifestation of the analyst's reverie that enables him/her to transform sense data into alpha-elements. Ferrari, in a further development of Bion's theories, hypothesises a relationship between the transference and the internal level of body-mind communication, and proposes the use of language registers to sustain the psychoanalytic process. The author presents several clinical examples from a thirteen-year, four-session-a-week analysis of a psychotic analysand who was initially confused, paranoid and altogether unable to bring self-reflective thought to bear on her overwhelming emotions and had, by the end of the analysis, completely recovered from her psychotic symptoms. The clinical material shows how the technical tools of mental models and language registers helped in the construction of a mental space and spatio-temporal parameters, permitting the patient to tolerate overwhelming concrete emotions and finally to recognise and work through the emotions of an intense transference.

  14. The productivity of mental health care: an instrumental variable approach.

    PubMed

    Lu, Mingshan

    1999-06-01

    the selection bias for the group in most need for mental health care, which is also the group of most policy and treatment concern. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The results of this work have implications for resource allocation in mental health care. Evidence is found that mental health care provided in Puerto Rico is productive, and is most helpful for persons in most need for mental health care. According to what estimated from the IV models, on the margin, receiving formal mental health care significantly increases the probability of obtaining a better mental health outcome by 19.2%, and one unit increase in formal treatment increased the probability of becoming healthier by 6.2% to 8.4%. Consistent with other mental health literature, an individual's baseline mental health status is found to be significantly related to the probability of improvement in mental health status: individuals with previous treatment history are less likely to improve. Among demographic factors included in the production function, being female, married, and high education were found to contribute to a higher probability of improvement. IMPLICATION FOR FURTHER RESEARCH: In order to provide accurate evidence of treatment effectiveness of medical technologies to support decision making, it is important that the selection bias be controlled as rigorously as possible when using information from a non-experimental setting. More data and a longer panel are also needed to provide more valid evidence. tion.

  15. Mental health care treatment initiation when mental health services are incorporated into primary care practice.

    PubMed

    Kessler, Rodger

    2012-01-01

    Most primary care patients with mental health issues are identified or treated in primary care rather than the specialty mental health system. Primary care physicians report that their patients do not have access to needed mental health care. When referrals are made to the specialty behavioral or mental health care system, rates of patients who initiate treatment are low. Collaborative care models, with mental health clinicians as part of the primary care medical staff, have been suggested as an alternative. The aim of this study is to examine rates of treatment startup in 2 collaborative care settings: a rural family medicine office and a suburban internal medicine office. In both practices referrals for mental health services are made within the practice. Referral data were drawn from 2 convenience samples of patients referred by primary care physicians for collaborative mental health treatment at Fletcher Allen Health Care in Vermont. The first sample consisted of 93 consecutively scheduled referrals in a family medicine office (sample A) between January 2006 and December 2007. The second sample consisted of 215 consecutive scheduled referrals at an internal medicine office (sample B) between January 2009 and December 2009. Referral data identified age, sex, and presenting mental health/medical problem. In sample A, 95.5% of those patients scheduling appointments began behavioral health treatment; in sample B this percentage was 82%. In sample B, 69% of all patients initially referred for mental health care both scheduled and initiated treatment. When referred to a mental health clinician who provides on-site access as part of a primary care mental health collaborative care model, a high percentage of patients referred scheduled care. Furthermore, of those who scheduled care, a high percentage of patients attend the scheduled appointment. Findings persist despite differences in practice type, populations, locations, and time frames of data collection. That the

  16. Perceptions from the front line: professional identity in mental health nursing.

    PubMed

    Hercelinskyj, Gylo; Cruickshank, Mary; Brown, Peter; Phillips, Brian

    2014-02-01

    In the context of a growing population of people experiencing mental illness worldwide, mental health nurses are a crucial workforce. Their recruitment and retention, however, is in decline. Drawing on qualitative data obtained from interviews with mental health nurses (MHN) in Victoria, Australia, the paper employs a range of concepts from role theory to explore professional identity within mental health nursing. The data highlight three key issues in relation to the future recruitment and retention of MHN: (i) the ambiguity of the MHN role; (ii) the weak definition and lack of understanding of the scope of the MHN role by nursing students; and (iii) a lack of communication about MHN as a profession to a wider audience. These findings indicate three avenues through which recruitment and retention in mental health nursing could be improved: (i) public communication; (ii) training and educating of the next generation of MHN; and (iii) more accurately defining the role of the MHN. © 2012 The Authors; International Journal of Mental Health Nursing © 2012 Australian College of Mental Health Nurses Inc.

  17. An ecological model of the impact of sexual assault on women's mental health.

    PubMed

    Campbell, Rebecca; Dworkin, Emily; Cabral, Giannina

    2009-07-01

    This review examines the psychological impact of adult sexual assault through an ecological theoretical perspective to understand how factors at multiple levels of the social ecology contribute to post-assault sequelae. Using Bronfenbrenner's (1979, 1986, 1995) ecological theory of human development, we examine how individual-level factors (e.g., sociodemographics, biological/genetic factors), assault characteristics (e.g., victim-offender relationship, injury, alcohol use), microsystem factors (e.g., informal support from family and friends), meso/ exosystem factors (e.g., contact with the legal, medical, and mental health systems, and rape crisis centers), macrosystem factors (e.g., societal rape myth acceptance), and chronosystem factors (e.g., sexual revictimization and history of other victimizations) affect adult sexual assault survivors' mental health outcomes (e.g., post-traumatic stress disorder, depression, suicidality, and substance use). Self-blame is conceptualized as meta-construct that stems from all levels of this ecological model. Implications for curbing and/or preventing the negative mental health effects of sexual assault are discussed.

  18. Support for medical students with mental health problems: a conceptual model.

    PubMed

    Grant, Andrew; Rix, Andrew; Winter, Peter; Mattick, Karen; Jones, Debbie

    2015-02-01

    Medical students experience higher prevalence of mental illness than age-matched controls and are less likely to access appropriate help when this happens. The aim of this study was to determine the range of strategies deployed by medical schools to support medical students with mental health concerns and to use this to identify distinct categories. Websites and documents relating to all 32 UK medical schools were looked at, as were reports for quality assurance visits carried out by the General Medical Council (UK). A structured telephone interview was carried out with medical schools. Support services were examined by tracing the path that might be taken by a hypothetical student with mental health concerns of varying severity, seeing what was required and what was available at each stage. A range of support strategies is available to most medical students both from their medical school and from generic services in the university. Medical students will usually first contact a personal tutor or a senior member of faculty or be contacted by them as a result of concerns raised either via performance issues or by another student. While individual support interventions are mostly based on evidence of effectiveness, there is no unifying theory in terms of what constitutes effective support. To enable analysis of support interventions and comparison across providers, a six-stage conceptual model of prevention was developed. The six stages are the following: prevention, identification, referral, escalation, treatment, and reintegration. The staged model, derived from analysis of existing interventions, provides a framework for evaluation of current provision and comparison of different methods of delivery. Moreover, it provides a framework for future research.

  19. The NYA/UCLA Project: A Community-University Model for Mental Health Training.

    ERIC Educational Resources Information Center

    Jacobs, Marion K.; And Others

    This three-part paper describes a pilot demonstration project for training psychology graduate students and social-work agency personnel to provide mental health services for minority adolescents and their families. The training model assumes that all participants possess skill and knowledge that can be shared with each other and that a strong…

  20. Learner Perception of Personal Spaces of Information (PSIs): A Mental Model Analysis

    ERIC Educational Resources Information Center

    Hardof-Jaffe, Sharon; Aladjem, Ruthi

    2018-01-01

    A personal space of information (PSI) refers to the collection of digital information items created, saved and organized, on digital devices. PSIs play a central and significant role in learning processes. This study explores the mental models and perceptions of PSIs by learners, using drawing analysis. Sixty-three graduate students were asked to…

  1. Work–Family Conflict and Mental Health Among Female Employees: A Sequential Mediation Model via Negative Affect and Perceived Stress

    PubMed Central

    Zhou, Shiyi; Da, Shu; Guo, Heng; Zhang, Xichao

    2018-01-01

    After the implementation of the universal two-child policy in 2016, more and more working women have found themselves caught in the dilemma of whether to raise a baby or be promoted, which exacerbates work–family conflicts among Chinese women. Few studies have examined the mediating effect of negative affect. The present study combined the conservation of resources model and affective events theory to examine the sequential mediating effect of negative affect and perceived stress in the relationship between work–family conflict and mental health. A valid sample of 351 full-time Chinese female employees was recruited in this study, and participants voluntarily answered online questionnaires. Pearson correlation analysis, structural equation modeling, and multiple mediation analysis were used to examine the relationships between work–family conflict, negative affect, perceived stress, and mental health in full-time female employees. We found that women’s perceptions of both work-to-family conflict and family-to-work conflict were significant negatively related to mental health. Additionally, the results showed that negative affect and perceived stress were negatively correlated with mental health. The 95% confidence intervals indicated the sequential mediating effect of negative affect and stress in the relationship between work–family conflict and mental health was significant, which supported the hypothesized sequential mediation model. The findings suggest that work–family conflicts affected the level of self-reported mental health, and this relationship functioned through the two sequential mediators of negative affect and perceived stress. PMID:29719522

  2. Work-Family Conflict and Mental Health Among Female Employees: A Sequential Mediation Model via Negative Affect and Perceived Stress.

    PubMed

    Zhou, Shiyi; Da, Shu; Guo, Heng; Zhang, Xichao

    2018-01-01

    After the implementation of the universal two-child policy in 2016, more and more working women have found themselves caught in the dilemma of whether to raise a baby or be promoted, which exacerbates work-family conflicts among Chinese women. Few studies have examined the mediating effect of negative affect. The present study combined the conservation of resources model and affective events theory to examine the sequential mediating effect of negative affect and perceived stress in the relationship between work-family conflict and mental health. A valid sample of 351 full-time Chinese female employees was recruited in this study, and participants voluntarily answered online questionnaires. Pearson correlation analysis, structural equation modeling, and multiple mediation analysis were used to examine the relationships between work-family conflict, negative affect, perceived stress, and mental health in full-time female employees. We found that women's perceptions of both work-to-family conflict and family-to-work conflict were significant negatively related to mental health. Additionally, the results showed that negative affect and perceived stress were negatively correlated with mental health. The 95% confidence intervals indicated the sequential mediating effect of negative affect and stress in the relationship between work-family conflict and mental health was significant, which supported the hypothesized sequential mediation model. The findings suggest that work-family conflicts affected the level of self-reported mental health, and this relationship functioned through the two sequential mediators of negative affect and perceived stress.

  3. Understanding mental retardation in Down's syndrome using trisomy 16 mouse models.

    PubMed

    Galdzicki, Z; Siarey, R J

    2003-06-01

    Mental retardation in Down's syndrome, human trisomy 21, is characterized by developmental delays, language and memory deficits and other cognitive abnormalities. Neurophysiological and functional information is needed to understand the mechanisms of mental retardation in Down's syndrome. The trisomy mouse models provide windows into the molecular and developmental effects associated with abnormal chromosome numbers. The distal segment of mouse chromosome 16 is homologous to nearly the entire long arm of human chromosome 21. Therefore, mice with full or segmental trisomy 16 (Ts65Dn) are considered reliable animal models of Down's syndrome. Ts65Dn mice demonstrate impaired learning in spatial tests and abnormalities in hippocampal synaptic plasticity. We hypothesize that the physiological impairments in the Ts65Dn mouse hippocampus can model the suboptimal brain function occuring at various levels of Down's syndrome brain hierarchy, starting at a single neuron, and then affecting simple and complex neuronal networks. Once these elements create the gross brain structure, their dysfunctional activity cannot be overcome by extensive plasticity and redundancy, and therefore, at the end of the maturation period the mind inside this brain remains deficient and delayed in its capabilities. The complicated interactions that govern this aberrant developmental process cannot be rescued through existing compensatory mechanisms. In summary, overexpression of genes from chromosome 21 shifts biological homeostasis in the Down's syndrome brain to a new less functional state.

  4. Communication: Accurate higher-order van der Waals coefficients between molecules from a model dynamic multipole polarizability

    DOE PAGES

    Tao, Jianmin; Rappe, Andrew M.

    2016-01-20

    Due to the absence of the long-range van der Waals (vdW) interaction, conventional density functional theory (DFT) often fails in the description of molecular complexes and solids. In recent years, considerable progress has been made in the development of the vdW correction. However, the vdW correction based on the leading-order coefficient C 6 alone can only achieve limited accuracy, while accurate modeling of higher-order coefficients remains a formidable task, due to the strong non-additivity effect. Here, we apply a model dynamic multipole polarizability within a modified single-frequency approximation to calculate C 8 and C 10 between small molecules. We findmore » that the higher-order vdW coefficients from this model can achieve remarkable accuracy, with mean absolute relative deviations of 5% for C 8 and 7% for C 10. As a result, inclusion of accurate higher-order contributions in the vdW correction will effectively enhance the predictive power of DFT in condensed matter physics and quantum chemistry.« less

  5. The Koorie Men's Health Day: an innovative model for early detection of mental illness among rural Aboriginal men.

    PubMed

    Isaacs, Anton; Lampitt, Berwyn

    2014-02-01

    To describe the design, implementation and outcomes of an innovative model for the early detection of mental illness among rural Aboriginal men. Through a collaborative effort between a University' Department of Rural and Indigenous Health, an Aboriginal organisation and a regional mental health service, an all-male team was set up which consisted of a doctor, a mental health nurse and four key individuals from the local Aboriginal community. Invitations to attend a Koorie Men's Health Day were distributed via flyers and posters. Using an assembly line technique and avoiding any reference to the term 'mental', all participants underwent a complete medical examination, a blood test for diabetes and a psychological assessment using the Kessler-10 schedule. The event was attended by 20 men. Of the 17 participants whose data were available, seven scored significantly (25 or higher) on the psychological assessment and were offered follow-up. When conducted on a regular basis, the Koorie Men's Health Day could be a useful method for the early detection of mental illness among rural Aboriginal men in Australia. Further research is needed to study the feasibility and sustainability of the model in different settings.

  6. The Dual-Factor Model of Mental Health: Further Study of the Determinants of Group Differences

    ERIC Educational Resources Information Center

    Lyons, Michael D.; Huebner, E. Scott; Hills, Kimberly J.; Shinkareva, Svetlana V.

    2012-01-01

    Consistent with a positive psychology framework, this study examined the contributions of personality, environmental, and perceived social support variables in classifying adolescents using Greenspoon and Saklofske's Dual-Factor model of mental health. This model incorporates information about positive subjective well-being (SWB), along with…

  7. Disaster Mental Health Epidemiology: Methodological Review and Interpretation of Research Findings.

    PubMed

    North, Carol S

    2016-01-01

    Worldwide, disasters are increasing in frequency and severity. Mental health consequences of disasters are extensive, and knowledge of anticipated mental health effects is needed for effective disaster response. Difficulties inherent in conducting disaster research have limited the understanding of research findings. This article presents and interprets disaster mental health research findings in the context of research methods. A brief history of the disaster mental health research field is provided, and the presentation of findings is ordered into topical areas of disaster mental health consequences and timing and prediction of mental health outcomes. Results of different studies varied greatly by several main characteristics of research methods, especially methods of psychiatric assessment, sampling and exposure group determination, and consideration of confounding variables. In conclusion, many complexities in conducting disaster mental health research have limited the understanding and interpretation of available knowledge needed to inform efforts to plan and carry out effective mental health responses to disasters. Thoughtful interpretation of findings in the context of research design and methods is vital to accurate understanding of the types, prevalence, and predictors of anticipated mental health effects of disasters. A wealth of knowledge from disaster mental health research has accumulated in recent decades, but more research is still needed to resolve inconsistent findings through methodological refinements.

  8. Development and application of accurate analytical models for single active electron potentials

    NASA Astrophysics Data System (ADS)

    Miller, Michelle; Jaron-Becker, Agnieszka; Becker, Andreas

    2015-05-01

    The single active electron (SAE) approximation is a theoretical model frequently employed to study scenarios in which inner-shell electrons may productively be treated as frozen spectators to a physical process of interest, and accurate analytical approximations for these potentials are sought as a useful simulation tool. Density function theory is often used to construct a SAE potential, requiring that a further approximation for the exchange correlation functional be enacted. In this study, we employ the Krieger, Li, and Iafrate (KLI) modification to the optimized-effective-potential (OEP) method to reduce the complexity of the problem to the straightforward solution of a system of linear equations through simple arguments regarding the behavior of the exchange-correlation potential in regions where a single orbital dominates. We employ this method for the solution of atomic and molecular potentials, and use the resultant curve to devise a systematic construction for highly accurate and useful analytical approximations for several systems. Supported by the U.S. Department of Energy (Grant No. DE-FG02-09ER16103), and the U.S. National Science Foundation (Graduate Research Fellowship, Grants No. PHY-1125844 and No. PHY-1068706).

  9. A Model for Sustainable Development of Child Mental Health Infrastructure in the LMIC World: Vietnam as a Case Example.

    PubMed

    Weiss, Bahr; Ngo, Victoria Khanh; Dang, Hoang-Minh; Pollack, Amie; Trung, Lam T; Tran, Cong V; Tran, Nam T; Sang, David; Do, Khanh N

    2012-01-01

    Children and adolescents are among the highest need populations in regards to mental health support, especially in low and middle income countries (LMIC). Yet resources in LMIC for prevention and treatment of mental health problems are limited, in particular for children and adolescents. In this paper, we discuss a model for development of child and adolescent mental health (CAMH) resources in LMIC that has guided a ten year initiative focused on development of CAMH treatment and research infrastructure in Vietnam. We first review the need for development of mental health resources for children and adolescents in general, and then in Vietnam. We next present the model that guided our program as it developed, focused on the twin Capacity Development Goals of efficacy and sustainability, and the Capacity Development Targets used to move towards these goals. Finally we discuss our CAMH development initiative in Vietnam, the center of which has been development of a graduate program in clinical psychology at Vietnam National University, linking program activities to this model.

  10. Undergraduate student nurses' perspectives of an integrated clinical learning model in the mental health environment.

    PubMed

    Boardman, Gayelene; Lawrence, Karen; Polacsek, Meg

    2018-06-13

    Providing nursing students with appropriate clinical practice during their undergraduate programme is critical to ensuring that graduates meet the competency requirements to gain registration as a nurse. In response to the predicted nursing workforce shortage, universities have been significantly increasing the enrolment of undergraduate nurses into Bachelor of Nursing courses. This has placed a demand on the availability of clinical placements and often universities struggle to find appropriate places. In this study, a Bachelor of Nursing course incorporated an Integrated Clinical Learning Model (ICLM) for the first time during a mental health placement. The model offered students the flexibility of attending their clinical placement over a 16-week period instead of a traditional block of 4 weeks. The aim of this study was to evaluate the student perspective of this model and whether it prepared them for the nursing workforce. Focus groups were conducted with undergraduate nursing students following their mental health clinical placement at an acute and extended care inpatient unit. Data were analysed using thematic analysis. Main themes included preparedness for practice, maintaining a work-life balance, and perceiving they were part of a team. The ICLM deepened students' knowledge and had a positive impact on their overall clinical learning. © 2018 Australian College of Mental Health Nurses Inc.

  11. A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.

    PubMed

    Alanazi, Hamdan O; Abdullah, Abdul Hanan; Qureshi, Kashif Naseer

    2017-04-01

    Recently, Artificial Intelligence (AI) has been used widely in medicine and health care sector. In machine learning, the classification or prediction is a major field of AI. Today, the study of existing predictive models based on machine learning methods is extremely active. Doctors need accurate predictions for the outcomes of their patients' diseases. In addition, for accurate predictions, timing is another significant factor that influences treatment decisions. In this paper, existing predictive models in medicine and health care have critically reviewed. Furthermore, the most famous machine learning methods have explained, and the confusion between a statistical approach and machine learning has clarified. A review of related literature reveals that the predictions of existing predictive models differ even when the same dataset is used. Therefore, existing predictive models are essential, and current methods must be improved.

  12. The disconnected values model improves mental well-being and fitness in an employee wellness program.

    PubMed

    Anshel, Mark H; Brinthaupt, Thomas M; Kang, Minsoo

    2010-01-01

    This study examined the effect of a 10-week wellness program on changes in physical fitness and mental well-being. The conceptual framework for this study was the Disconnected Values Model (DVM). According to the DVM, detecting the inconsistencies between negative habits and values (e.g., health, family, faith, character) and concluding that these "disconnects" are unacceptable promotes the need for health behavior change. Participants were 164 full-time employees at a university in the southeastern U.S. The program included fitness coaching and a 90-minute orientation based on the DVM. Multivariate Mixed Model analyses indicated significantly improved scores from pre- to post-intervention on selected measures of physical fitness and mental well-being. The results suggest that the Disconnected Values Model provides an effective cognitive-behavioral approach to generating health behavior change in a 10-week workplace wellness program.

  13. Self-Reported and FEMA Flood Exposure Assessment after Hurricane Sandy: Association with Mental Health Outcomes

    PubMed Central

    Liu, Bian; Schneider, Samantha; Schwartz, Rebecca; Taioli, Emanuela

    2017-01-01

    Hurricane Sandy caused extensive physical and economic damage; the long-term mental health consequences are unknown. Flooding is a central component of hurricane exposure, influencing mental health through multiple pathways that unfold over months after flooding recedes. Here we assess the concordance in self-reported and Federal Emergency Management (FEMA) flood exposure after Hurricane Sandy and determine the associations between flooding and anxiety, depression, and post-traumatic stress disorder (PTSD). Self-reported flood data and mental health symptoms were obtained through validated questionnaires from New York City and Long Island residents (N = 1231) following Sandy. Self-reported flood data was compared to FEMA data obtained from the FEMA Modeling Task Force Hurricane Sandy Impact Analysis. Multivariable logistic regressions were performed to determine the relationship between flooding exposure and mental health outcomes. There were significant discrepancies between self-reported and FEMA flood exposure data. Self-reported dichotomous flooding was positively associated with anxiety (ORadj: 1.5 [95% CI: 1.1–1.9]), depression (ORadj: 1.7 [1.3–2.2]), and PTSD (ORadj: 2.5 [1.8–3.4]), while self-reported continuous flooding was associated with depression (ORadj: 1.1 [1.01–1.12]) and PTSD (ORadj: 1.2 [1.1–1.2]). Models with FEMA dichotomous flooding (ORadj: 2.1 [1.5–2.8]) or FEMA continuous flooding (ORadj: 1.1 [1.1–1.2]) were only significantly associated with PTSD. Associations between mental health and flooding vary according to type of flood exposure measure utilized. Future hurricane preparedness and recovery efforts must integrate micro and macro-level flood exposures in order to accurately determine flood exposure risk during storms and realize the long-term importance of flooding on these three mental health symptoms. PMID:28129410

  14. Self-Reported and FEMA Flood Exposure Assessment after Hurricane Sandy: Association with Mental Health Outcomes.

    PubMed

    Lieberman-Cribbin, Wil; Liu, Bian; Schneider, Samantha; Schwartz, Rebecca; Taioli, Emanuela

    2017-01-01

    Hurricane Sandy caused extensive physical and economic damage; the long-term mental health consequences are unknown. Flooding is a central component of hurricane exposure, influencing mental health through multiple pathways that unfold over months after flooding recedes. Here we assess the concordance in self-reported and Federal Emergency Management (FEMA) flood exposure after Hurricane Sandy and determine the associations between flooding and anxiety, depression, and post-traumatic stress disorder (PTSD). Self-reported flood data and mental health symptoms were obtained through validated questionnaires from New York City and Long Island residents (N = 1231) following Sandy. Self-reported flood data was compared to FEMA data obtained from the FEMA Modeling Task Force Hurricane Sandy Impact Analysis. Multivariable logistic regressions were performed to determine the relationship between flooding exposure and mental health outcomes. There were significant discrepancies between self-reported and FEMA flood exposure data. Self-reported dichotomous flooding was positively associated with anxiety (ORadj: 1.5 [95% CI: 1.1-1.9]), depression (ORadj: 1.7 [1.3-2.2]), and PTSD (ORadj: 2.5 [1.8-3.4]), while self-reported continuous flooding was associated with depression (ORadj: 1.1 [1.01-1.12]) and PTSD (ORadj: 1.2 [1.1-1.2]). Models with FEMA dichotomous flooding (ORadj: 2.1 [1.5-2.8]) or FEMA continuous flooding (ORadj: 1.1 [1.1-1.2]) were only significantly associated with PTSD. Associations between mental health and flooding vary according to type of flood exposure measure utilized. Future hurricane preparedness and recovery efforts must integrate micro and macro-level flood exposures in order to accurately determine flood exposure risk during storms and realize the long-term importance of flooding on these three mental health symptoms.

  15. Identifying Students' Mental Models of Sound Propagation: The Role of Conceptual Blending in Understanding Conceptual Change

    ERIC Educational Resources Information Center

    Hrepic, Zdeslav; Zollman, Dean A.; Rebello, N. Sanjay

    2010-01-01

    We investigated introductory physics students' mental models of sound propagation. We used a phenomenographic method to analyze the data in the study. In addition to the scientifically accepted Wave model, students used the "Entity" model to describe the propagation of sound. In this latter model sound is a self-standing entity,…

  16. Attempting to successfully straddle the cultural divide: Hopelessness model of bicultural stress, mental health, and caregiver connection for Mexican descent adolescents.

    PubMed

    Piña-Watson, Brandy; Llamas, Jasmín D; Stevens, Angela K

    2015-10-01

    The present study extends the Hopelessness Model of Depression through: (a) investigating the applicability of bicultural stress as precipitant in this model, (b) expanding mental health outcomes in addition to depression (i.e., life satisfaction), and (c) examining the protective role that male and female caregiver connection may play in disrupting this model for Mexican descent adolescents. With a sample of 524 Mexican descent adolescents (46.9% male; 53.1% female; age range: 14-20; M = 16.23 years; SD = 1.10 years), 2 structural equation models were tested, The first model (Theoretical Model) sought to determine the relationship between bicultural stress, life satisfaction, and depressive symptoms with hopelessness as a mediator. The second model (Protective Factor Model) investigated both male and female caregiver connectedness as potential protective factors in the bicultural stress-mental health relationships. Both models were supported. In the Theoretical Model, hopelessness mediated the relationship between bicultural stress and the mental health variables (i.e., depression and life satisfaction). Additionally, in the Protective Factor Model, female caregiver connection moderated the relationships between bicultural stress and life satisfaction, highlighting that female caregiver connection is a protective factor in the bicultural stress-life satisfaction relationship. Findings will be discussed from a resilience perspective with recommendations of how practitioners can use these findings for mental health prevention and intervention purposes. (c) 2015 APA, all rights reserved).

  17. Aboriginal child and adolescent mental health: a rural worker training model.

    PubMed

    Bartik, Warren; Dixon, Angela; Dart, Katrina

    2007-04-01

    The Third National Mental Health Plan places a strong emphasis on the development of an Aboriginal mental health workforce. This paper documents the establishment, implementation and initial evaluation of the Aboriginal and Torres Strait Islander Child and Adolescent Mental Health Traineeship Program, a partnership initiative involving Hunter New England Area Health Service (HNEAHS), Hunter New England Aboriginal Mental Health (HNEAMH) and the Department of Psychological Medicine at the Children's Hospital at Westmead (CHW), with guidance and input from additional collaborators. The program includes: (i) employment as a child and adolescent mental health worker and professional support and supervision through HNEAHS; (ii) a mentoring program provided through HNEAMH; (iii) formal academic studies in Aboriginal Mental Health; and (iv) a clinical education and supervision program conducted through the Department of Psychological Medicine, CHW. Initial feedback suggests that this is a promising program to train Aboriginal child and adolescent mental health workers. Further evaluation will provide information about its viability and effectiveness in providing an integrated, collaborative child and adolescent mental health service for Aboriginal and Torres Strait Islander children and their families.

  18. Cross hole GPR traveltime inversion using a fast and accurate neural network as a forward model

    NASA Astrophysics Data System (ADS)

    Mejer Hansen, Thomas

    2017-04-01

    Probabilistic formulated inverse problems can be solved using Monte Carlo based sampling methods. In principle both advanced prior information, such as based on geostatistics, and complex non-linear forward physical models can be considered. However, in practice these methods can be associated with huge computational costs that in practice limit their application. This is not least due to the computational requirements related to solving the forward problem, where the physical response of some earth model has to be evaluated. Here, it is suggested to replace a numerical complex evaluation of the forward problem, with a trained neural network that can be evaluated very fast. This will introduce a modeling error, that is quantified probabilistically such that it can be accounted for during inversion. This allows a very fast and efficient Monte Carlo sampling of the solution to an inverse problem. We demonstrate the methodology for first arrival travel time inversion of cross hole ground-penetrating radar (GPR) data. An accurate forward model, based on 2D full-waveform modeling followed by automatic travel time picking, is replaced by a fast neural network. This provides a sampling algorithm three orders of magnitude faster than using the full forward model, and considerably faster, and more accurate, than commonly used approximate forward models. The methodology has the potential to dramatically change the complexity of the types of inverse problems that can be solved using non-linear Monte Carlo sampling techniques.

  19. The Centre for International Mental Health Approach to Mental Health System Development

    PubMed Central

    Minas, Harry

    2012-01-01

    Although mental disorders are a major public health problem, the development of mental health services has been a low priority everywhere, particularly in low- and middle-income countries. Recent years have seen a growing understanding of the importance of population mental health and increased attention to the need to developmental health systems for responding to population mental health service needs. In countries and regions where mental health services are all but nonexistent, and in postconflict and postdisaster settings, there are many impediments to establishing or scaling up mental health services. It is frequently necessary to act simultaneously on multiple fronts: generating local evidence that will inform decision makers; developing a policy framework; securing investment; determining the most appropriate service model for the context; training and supporting mental health workers; establishing or expanding existing services; putting in place systems for monitoring and evaluation; and strengthening leadership and governance capabilities. This article presents the approach of the Centre for International Mental Health in the Melbourne School of Population Health to mental health system development, and illustrates the way in which the elements of the program are integrated by giving a brief case example from Sri Lanka. (harv rev psychiatry 2012;20:37–46.) PMID:22335181

  20. Cultural Predictors of Physical and Mental Health Status among Mexican American Women: A Mediation Model

    PubMed Central

    Dinh, Khanh T.; Castro, Felipe González; Tein, Jenn-Yun; Kim, Su Yeong

    2016-01-01

    This study, using secondary data analysis, examined a mediation model of acculturation and ethnic pride as predictors of physical and mental health outcomes in a sample of 561 Mexican American women. Factors postulated as mediators were family support and religiosity. Systematic across-group comparison analyses were conducted to examine sources of differences in the mediation model between immigrant and non-immigrant women. The results partially supported the hypothesized mediation model, indicating that family support, but not religiosity, was a significant mediator in the relationship between ethnic pride and mental health problems. In addition, as differences between immigrant and non-immigrant women were observed only in the variables means, but not in the factor loadings or regression paths, the model tested may capture a common psychosocial process that affects these women and their health outcomes. Overall, this study offers important implications for future research and the design of intervention programs for Mexican American women. PMID:19130212

  1. Associations Between Motivation and Mental Health in Sport: A Test of the Hierarchical Model of Intrinsic and Extrinsic Motivation

    PubMed Central

    Sheehan, Rachel B.; Herring, Matthew P.; Campbell, Mark J.

    2018-01-01

    Motivation has been the subject of much research in the sport psychology literature, whereas athlete mental health has received limited attention. Motivational complexities in elite sport are somewhat reflected in the mental health literature, where there is evidence for both protective and risk factors for athletes. Notably, few studies have linked motivation to mental health. Therefore, the key objective of this study was to test four mental health outcomes in the motivational sequence posited by the Hierarchical Model of Intrinsic and Extrinsic Motivation: motivational climate → basic psychological needs → motivation → mental health outcomes. Elite team-sport athletes (140 females, 75 males) completed seven psychometric inventories of motivation-related and mental health variables. Overall, the athletes reported positive motivational patterns, with autonomous motivation and task climate being more prevalent than their less adaptive counterparts. Elevated depressive symptoms and poor sleep quality affected nearly half of the cohort. Structural equation modeling supported pathways between motivational climate, basic needs, motivation, and mood, depressive symptoms, sleep quality, and trait anxiety. Specifically, a task climate was positively associated with the three basic psychological needs, and an ego climate was positively associated with competence. Autonomy and relatedness had positive and negative associations with autonomous and controlled forms of motivation, respectively. Controlled motivation regulations were positively associated with the four mental health outcomes. Integrated regulation had a negative association with anxiety, and intrinsic regulation had a positive association with depressive symptoms. These findings highlight the complexities of and interrelations between motivation and mental health among athletes, and support the importance of considering mental health as an outcome of motivation. PMID:29867672

  2. Associations Between Motivation and Mental Health in Sport: A Test of the Hierarchical Model of Intrinsic and Extrinsic Motivation.

    PubMed

    Sheehan, Rachel B; Herring, Matthew P; Campbell, Mark J

    2018-01-01

    Motivation has been the subject of much research in the sport psychology literature, whereas athlete mental health has received limited attention. Motivational complexities in elite sport are somewhat reflected in the mental health literature, where there is evidence for both protective and risk factors for athletes. Notably, few studies have linked motivation to mental health. Therefore, the key objective of this study was to test four mental health outcomes in the motivational sequence posited by the Hierarchical Model of Intrinsic and Extrinsic Motivation: motivational climate → basic psychological needs → motivation → mental health outcomes. Elite team-sport athletes (140 females, 75 males) completed seven psychometric inventories of motivation-related and mental health variables. Overall, the athletes reported positive motivational patterns, with autonomous motivation and task climate being more prevalent than their less adaptive counterparts. Elevated depressive symptoms and poor sleep quality affected nearly half of the cohort. Structural equation modeling supported pathways between motivational climate, basic needs, motivation, and mood, depressive symptoms, sleep quality, and trait anxiety. Specifically, a task climate was positively associated with the three basic psychological needs, and an ego climate was positively associated with competence. Autonomy and relatedness had positive and negative associations with autonomous and controlled forms of motivation, respectively. Controlled motivation regulations were positively associated with the four mental health outcomes. Integrated regulation had a negative association with anxiety, and intrinsic regulation had a positive association with depressive symptoms. These findings highlight the complexities of and interrelations between motivation and mental health among athletes, and support the importance of considering mental health as an outcome of motivation.

  3. Improved image quality in pinhole SPECT by accurate modeling of the point spread function in low magnification systems

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

    Pino, Francisco; Roé, Nuria; Aguiar, Pablo, E-mail: pablo.aguiar.fernandez@sergas.es

    2015-02-15

    Purpose: Single photon emission computed tomography (SPECT) has become an important noninvasive imaging technique in small-animal research. Due to the high resolution required in small-animal SPECT systems, the spatially variant system response needs to be included in the reconstruction algorithm. Accurate modeling of the system response should result in a major improvement in the quality of reconstructed images. The aim of this study was to quantitatively assess the impact that an accurate modeling of spatially variant collimator/detector response has on image-quality parameters, using a low magnification SPECT system equipped with a pinhole collimator and a small gamma camera. Methods: Threemore » methods were used to model the point spread function (PSF). For the first, only the geometrical pinhole aperture was included in the PSF. For the second, the septal penetration through the pinhole collimator was added. In the third method, the measured intrinsic detector response was incorporated. Tomographic spatial resolution was evaluated and contrast, recovery coefficients, contrast-to-noise ratio, and noise were quantified using a custom-built NEMA NU 4–2008 image-quality phantom. Results: A high correlation was found between the experimental data corresponding to intrinsic detector response and the fitted values obtained by means of an asymmetric Gaussian distribution. For all PSF models, resolution improved as the distance from the point source to the center of the field of view increased and when the acquisition radius diminished. An improvement of resolution was observed after a minimum of five iterations when the PSF modeling included more corrections. Contrast, recovery coefficients, and contrast-to-noise ratio were better for the same level of noise in the image when more accurate models were included. Ring-type artifacts were observed when the number of iterations exceeded 12. Conclusions: Accurate modeling of the PSF improves resolution, contrast, and

  4. Do dual-route models accurately predict reading and spelling performance in individuals with acquired alexia and agraphia?

    PubMed

    Rapcsak, Steven Z; Henry, Maya L; Teague, Sommer L; Carnahan, Susan D; Beeson, Pélagie M

    2007-06-18

    Coltheart and co-workers [Castles, A., Bates, T. C., & Coltheart, M. (2006). John Marshall and the developmental dyslexias. Aphasiology, 20, 871-892; Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108, 204-256] have demonstrated that an equation derived from dual-route theory accurately predicts reading performance in young normal readers and in children with reading impairment due to developmental dyslexia or stroke. In this paper, we present evidence that the dual-route equation and a related multiple regression model also accurately predict both reading and spelling performance in adult neurological patients with acquired alexia and agraphia. These findings provide empirical support for dual-route theories of written language processing.

  5. Healthcare information technology's relativity problems: a typology of how patients' physical reality, clinicians' mental models, and healthcare information technology differ.

    PubMed

    Smith, Sean W; Koppel, Ross

    2014-01-01

    To model inconsistencies or distortions among three realities: patients' physical reality; clinicians' mental models of patients' conditions, laboratories, etc; representation of that reality in electronic health records (EHR). To serve as a potential tool for quality improvement of EHRs. Using observations, literature, information technology (IT) logs, vendor and US Food and Drug Administration reports, we constructed scenarios/models of how patients' realities, clinicians' mental models, and EHRs can misalign to produce distortions in comprehension and treatment. We then categorized them according to an emergent typology derived from the cases themselves and refined the categories based on insights gained from the literature of interactive sociotechnical systems analysis, decision support science, and human computer interaction. Typical of grounded theory methods, the categories underwent repeated modifications. We constructed 45 scenarios of misalignment between patients' physical realities, clinicians' mental models, and EHRs. We then identified five general types of misrepresentation in these cases: IT data too narrowly focused; IT data too broadly focused; EHRs miss critical reality; data multiplicities-perhaps contradictory or confusing; distortions from data reflected back and forth across users, sensors, and others. The 45 scenarios are presented, organized by the five types. With humans, there is a physical reality and actors' mental models of that reality. In healthcare, there is another player: the EHR/healthcare IT, which implicitly and explicitly reflects many mental models, facets of reality, and measures thereof that vary in reliability and consistency. EHRs are both microcosms and shapers of medical care. Our typology and scenarios are intended to be useful to healthcare IT designers and implementers in improving EHR systems and reducing the unintended negative consequences of their use.

  6. Model Minority at Risk: Expressed Needs of Mental Health by Asian American Young Adults

    PubMed Central

    Juon, Hee-Soon; Martinez, Genevieve; Hsu, Chiehwen E.; Robinson, E. Stephanie; Bawa, Julie; Ma, Grace X.

    2012-01-01

    The objective of this study is to obtain and discuss in-depth information on mental health problems, including the status, barriers, and potential solutions in 1.5 and 2nd generation Asian American young adults. As a part of the Health Needs Assessment project, the researchers conducted two focus groups with 17 young adults (mainly 1.5 or 2nd generation) from eight Asian American communities (Asian Indian, Cambodian, Chinese, Indonesian, Korean, Taiwanese, Thai, and Vietnamese) in Montgomery County, Maryland. We developed a moderator's guide with open-ended questions and used it to collect qualitative data. Using a software, we organized and identified emergent themes by major categories. Participants reported a several common sources of stress that affect the mental health of Asian American young adults including: pressure to meet parental expectations of high academic achievement and live up to the “model minority” stereotype; difficulty of balancing two different cultures and communicating with parents; family obligations based on the strong family values; and discrimination or isolation due to racial or cultural background. Young Asian Americans tend not to seek professional help for their mental health problems; instead they use personal support networks—close friends, significant others, and religious community. Participants suggested that Asian cultural norms that do not consider mental problems important, and associated stigma of seeking professional care might undermine their mental health help seeking behavior. Our findings support a need for delivering culturally appropriate programs to raise awareness of mental health and cultural training for health providers to deliver culturally appropriate care. PMID:18931893

  7. Fast and accurate computation of system matrix for area integral model-based algebraic reconstruction technique

    NASA Astrophysics Data System (ADS)

    Zhang, Shunli; Zhang, Dinghua; Gong, Hao; Ghasemalizadeh, Omid; Wang, Ge; Cao, Guohua

    2014-11-01

    Iterative algorithms, such as the algebraic reconstruction technique (ART), are popular for image reconstruction. For iterative reconstruction, the area integral model (AIM) is more accurate for better reconstruction quality than the line integral model (LIM). However, the computation of the system matrix for AIM is more complex and time-consuming than that for LIM. Here, we propose a fast and accurate method to compute the system matrix for AIM. First, we calculate the intersection of each boundary line of a narrow fan-beam with pixels in a recursive and efficient manner. Then, by grouping the beam-pixel intersection area into six types according to the slopes of the two boundary lines, we analytically compute the intersection area of the narrow fan-beam with the pixels in a simple algebraic fashion. Overall, experimental results show that our method is about three times faster than the Siddon algorithm and about two times faster than the distance-driven model (DDM) in computation of the system matrix. The reconstruction speed of our AIM-based ART is also faster than the LIM-based ART that uses the Siddon algorithm and DDM-based ART, for one iteration. The fast reconstruction speed of our method was accomplished without compromising the image quality.

  8. Obesity and mental health.

    PubMed

    Talen, Mary R; Mann, Misty M

    2009-06-01

    Mental health factors contribute to the onset and maintenance of overweight and obese status in children, adolescents, and adults. Binge eating disorder (BED), body image, self-esteem, mood disorders, and social and family factors affect individuals in different ways and contribute to weight gain and failure in weight loss management. Assessment of these mental health factors and treatment by 1 of several mental health treatment models may not only improve self-worth but also weight loss and maintenance.

  9. The Congruence of Mental Models amongst District and Site Level Administrators of Walkthroughs as a Vehicle for System-Wide School Improvement

    ERIC Educational Resources Information Center

    Evans, Lisa Marie

    2010-01-01

    Though change theorists recognize the importance of individuals within change efforts, the impact of perceptions, or mental models, on change initiatives at the organizational level is not fully understood. The purpose of this qualitative study was to gain a greater understanding of the mental models (beliefs, attitudes, knowledge, and feelings)…

  10. The Development of an Empirical Model of Mental Health Stigma in Adolescents.

    PubMed

    Silke, Charlotte; Swords, Lorraine; Heary, Caroline

    2016-08-30

    Research on mental health stigma in adolescents is hampered by a lack of empirical investigation into the theoretical conceptualisation of stigma, as well as by the lack of validated stigma measures. This research aims to develop a model of public stigma toward depression in adolescents and to use this model to empirically examine whether stigma is composed of three separate dimensions (Stereotypes, Prejudice and Discrimination), as is theoretically proposed. Adolescents completed self-report measures assessing their stigmatising responses toward a fictional peer with depression. An exploratory factor analysis (EFA; N=332) was carried out on 58-items, which proposed to measure aspects of stigma. A confirmatory factor analysis (CFA; N=236) was then carried out to evaluate the validity of the observed stigma model. Finally, higher-order CFAs were conducted in order to assess whether the observed model supported the tripartite conceptualisation of stigma. The EFA returned a seven-factor model of stigma. These factors were designated as Dangerousness, Warmth & Competency, Responsibility, Negative Attributes, Prejudice, Classroom Discrimination and Friendship Discrimination. The CFA supported the goodness-of-fit of this seven-factor model. The higher-order CFAs indicated that these seven factors represented the latent constructs of, Stereotypes, Prejudice and Discrimination, which in turn represented Stigma. Overall, results support the tripartite conceptualisation of stigma and suggest that measurements of mental health stigma in adolescents should include assessments of all three dimensions. These results also highlight the importance of establishing valid and reliable measures for assessing stigma in adolescents. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  11. Shared Mental Models on the Performance of e-Learning Content Development Teams

    ERIC Educational Resources Information Center

    Jo, Il-Hyun

    2012-01-01

    The primary purpose of the study was to investigate team-based e-Learning content development projects from the perspective of the shared mental model (SMM) theory. The researcher conducted a study of 79 e-Learning content development teams in Korea to examine the relationship between taskwork and teamwork SMMs and the performance of the teams.…

  12. Hospital-Based Physicians' Intubation Decisions and Associated Mental Models when Managing a Critically and Terminally Ill Older Patient.

    PubMed

    Haliko, Shannon; Downs, Julie; Mohan, Deepika; Arnold, Robert; Barnato, Amber E

    2018-04-01

    Variation in the intensity of acute care treatment at the end of life is influenced more strongly by hospital and provider characteristics than patient preferences. We sought to describe physicians' mental models (i.e., thought processes) when encountering a simulated critically and terminally ill older patient, and to compare those models based on whether their treatment plan was patient preference-concordant or preference-discordant. Seventy-three hospital-based physicians from 3 academic medical centers engaged in a simulated patient encounter and completed a mental model interview while watching the video recording of their encounter. We used an "expert" model to code the interviews. We then used Kruskal-Wallis tests to compare the weighted mental model themes of physicians who provided preference-concordant treatment with those who provided preference-discordant treatment. Sixty-six (90%) physicians provided preference-concordant treatment and 7 (10%) provided preference-discordant treatment (i.e., they intubated the patient). Physicians who intubated the patient were more likely to emphasize the reversible and emergent nature of the patient situation (z = -2.111, P = 0.035), their own comfort (z = -2.764, P = 0.006), and rarely focused on explicit patient preferences (z = 2.380, P = 0.017). Post-decisional interviewing with audio/video prompting may induce hindsight bias. The expert model has not yet been validated and may not be exhaustive. The small sample size limits generalizability and power. Hospital-based physicians providing preference-discordant used a different mental model for decision making for a critically and terminally ill simulated case. These differences may offer targets for future interventions to promote preference-concordant care for seriously ill patients.

  13. An evaluation of in vivo desensitization and video modeling to increase compliance with dental procedures in persons with mental retardation.

    PubMed

    Conyers, Carole; Miltenberger, Raymond G; Peterson, Blake; Gubin, Amber; Jurgens, Mandy; Selders, Andrew; Dickinson, Jessica; Barenz, Rebecca

    2004-01-01

    Fear of dental procedures deters many individuals with mental retardation from accepting dental treatment. This study was conducted to assess the effectiveness of two procedures, in vivo desensitization and video modeling, for increasing compliance with dental procedures in participants with severe or profound mental retardation. Desensitization increased compliance for all 5 participants, whereas video modeling increased compliance for only 1 of 3 participants.

  14. Comparison of Neural Network and Linear Regression Models in Statistically Predicting Mental and Physical Health Status of Breast Cancer Survivors

    DTIC Science & Technology

    2015-07-15

    Long-term effects on cancer survivors’ quality of life of physical training versus physical training combined with cognitive-behavioral therapy ...COMPARISON OF NEURAL NETWORK AND LINEAR REGRESSION MODELS IN STATISTICALLY PREDICTING MENTAL AND PHYSICAL HEALTH STATUS OF BREAST...34Comparison of Neural Network and Linear Regression Models in Statistically Predicting Mental and Physical Health Status of Breast Cancer Survivors

  15. A Weibull statistics-based lignocellulose saccharification model and a built-in parameter accurately predict lignocellulose hydrolysis performance.

    PubMed

    Wang, Mingyu; Han, Lijuan; Liu, Shasha; Zhao, Xuebing; Yang, Jinghua; Loh, Soh Kheang; Sun, Xiaomin; Zhang, Chenxi; Fang, Xu

    2015-09-01

    Renewable energy from lignocellulosic biomass has been deemed an alternative to depleting fossil fuels. In order to improve this technology, we aim to develop robust mathematical models for the enzymatic lignocellulose degradation process. By analyzing 96 groups of previously published and newly obtained lignocellulose saccharification results and fitting them to Weibull distribution, we discovered Weibull statistics can accurately predict lignocellulose saccharification data, regardless of the type of substrates, enzymes and saccharification conditions. A mathematical model for enzymatic lignocellulose degradation was subsequently constructed based on Weibull statistics. Further analysis of the mathematical structure of the model and experimental saccharification data showed the significance of the two parameters in this model. In particular, the λ value, defined the characteristic time, represents the overall performance of the saccharification system. This suggestion was further supported by statistical analysis of experimental saccharification data and analysis of the glucose production levels when λ and n values change. In conclusion, the constructed Weibull statistics-based model can accurately predict lignocellulose hydrolysis behavior and we can use the λ parameter to assess the overall performance of enzymatic lignocellulose degradation. Advantages and potential applications of the model and the λ value in saccharification performance assessment were discussed. Copyright © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  16. Predictors of physical activity in persons with mental illness: Testing a social cognitive model.

    PubMed

    Zechner, Michelle R; Gill, Kenneth J

    2016-12-01

    This study examined whether the social cognitive theory (SCT) model can be used to explain the variance in physical exercise among persons with serious mental illnesses. A cross-sectional, correlational design was employed. Participants from community mental health centers and supported housing programs (N = 120) completed 9 measures on exercise, social support, self-efficacy, outcome expectations, barriers, and goal-setting. Hierarchical regression tested the relationship between self-report physical activity and SCT determinants while controlling for personal characteristics. The model explained 25% of the variance in exercise. Personal characteristics explained 18% of the variance in physical activity, SCT variables of social support, self-efficacy, outcome expectations, barriers, and goals were entered simultaneously, and they added an r2 change value of .07. Gender (β = -.316, p = .001) and Brief Symptom Inventory Depression subscale (β = -2.08, p < .040) contributed significantly to the prediction of exercise. In a separate stepwise multiple regression, we entered only SCT variables as potential predictors of exercise. Goal-setting was the single significant predictor, F(1, 118) = 13.59, p < .01), r2 = .10. SCT shows promise as an explanatory model of exercise in persons with mental illnesses. Goal-setting practices, self-efficacy, outcome expectations and social support from friends for exercise should be encouraged by psychiatric rehabilitation practitioners. People with more depressive symptoms and women exercise less. More work is needed on theoretical exploration of predictors of exercise. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  17. Investigation of secondary school, undergraduate, and graduate learners' mental models of ionic bonding

    NASA Astrophysics Data System (ADS)

    Coll, Richard K.; Treagust, David F.

    2003-05-01

    Secondary school, undergraduate, and graduate level learners' mental models of bonding in ionic substances were explored using an interview protocol that involved the use of physical substances and a focus card containing depictions of ionic bonding and structure. Teachers and faculty from the teaching institutions were interviewed to contextualize teaching models within the educational setting for the inquiry. These data resulted in two socially negotiated consensus teaching models and a series of criterial attributes for these models: the essential qualities, all of which must be negotiated, if the model is used in a way that is acceptable to scientists. The secondary school learners see ionic bonding as consisting of attraction of oppositely charged species that arise from the transfer of electrons driven by the desire of atoms to obtain an octet of electrons. The undergraduates see the lattice structure as a key component of ionic substances and quickly identified specific ionic lattices for the physical prompts used as probes. The graduates also identified strongly with ionic lattices, were less likely to focus on particular ionic structures, and had a stronger appreciation for the notion of the ionic-covalent continuum. The research findings suggest that learners at all educational levels harbor a number of alternative conceptions and prefer to use simple mental models. These findings suggest that teachers and university faculty need to provide stronger links between the detailed nature of a model and its intended purpose.

  18. Accurate modeling and inversion of electrical resistivity data in the presence of metallic infrastructure with known location and dimension

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

    Johnson, Timothy C.; Wellman, Dawn M.

    2015-06-26

    Electrical resistivity tomography (ERT) has been widely used in environmental applications to study processes associated with subsurface contaminants and contaminant remediation. Anthropogenic alterations in subsurface electrical conductivity associated with contamination often originate from highly industrialized areas with significant amounts of buried metallic infrastructure. The deleterious influence of such infrastructure on imaging results generally limits the utility of ERT where it might otherwise prove useful for subsurface investigation and monitoring. In this manuscript we present a method of accurately modeling the effects of buried conductive infrastructure within the forward modeling algorithm, thereby removing them from the inversion results. The method ismore » implemented in parallel using immersed interface boundary conditions, whereby the global solution is reconstructed from a series of well-conditioned partial solutions. Forward modeling accuracy is demonstrated by comparison with analytic solutions. Synthetic imaging examples are used to investigate imaging capabilities within a subsurface containing electrically conductive buried tanks, transfer piping, and well casing, using both well casings and vertical electrode arrays as current sources and potential measurement electrodes. Results show that, although accurate infrastructure modeling removes the dominating influence of buried metallic features, the presence of metallic infrastructure degrades imaging resolution compared to standard ERT imaging. However, accurate imaging results may be obtained if electrodes are appropriately located.« less

  19. Uncivilizing "Mental Illness": Contextualizing Diverse Mental States and Posthuman Emotional Ecologies within The Icarus Project.

    PubMed

    Fletcher, Erica Hua

    2018-03-01

    This article argues humans should not be defined strictly at their physical boundaries with clear distinctions between anatomical bodies, mental states, and the rest of the world. Rather, diverse mental states, which are often diagnosed as "mental illness," take shape within greater environmental forces and flows, including those that are constructed online. Drawing from a multi-sited ethnography of The Icarus Project, a radical mental health community, the author situates online narratives written by two of its members within posthuman emotional ecologies in which the exchange of ideas online affects mental states in a profound way. These narratives can be seen as a new type of psychiatric resistance based in new technologies, one that "uncivilizes" mental illness by searching for alternative frameworks and metaphors to understand lived experiences with mental distress. This ethnographic perspective differs significantly from traditional bio-psychiatric models and interventions and can offer both patients and mental healthcare providers with an alternative language to frame mental health.

  20. Modelling intentions to provide smoking cessation support among mental health professionals in the Netherlands.

    PubMed

    Blankers, Matthijs; Buisman, Renate; Hopman, Petra; van Gool, Ronald; van Laar, Margriet

    2016-01-01

    Tobacco use prevalence is elevated among people with mental illnesses, leading to elevated rates of premature smoking-related mortality. Opportunities to encourage smoking cessation among them are currently underused by mental health professionals. In this paper, we aim to explore mechanisms to invigorate professionals' intentions to help patients stop smoking. Data stem from a recent staff survey on the provision of smoking cessation support to patients with mental illnesses in the Netherlands. Items and underlying constructs were based on the theory of planned behaviour and literature on habitual behaviour. Data were weighted and only data from staff members with regular patient contact (n = 506) were included. Descriptive statistics of the survey items are presented and in a second step using structural equation modelling (SEM), we regressed the latent variables attitudes, subjective norms (SN), perceived behavioural control (PBC), past cessation support behaviour (PB) and current smoking behaviour on intentions to provide support. In optimisation steps, models comprising a subset of this initial model were evaluated. A sample of 506 mental health workers who had direct contact with patients completed the survey. The majority of them were females (70.0 %), respondents had an average age of 42.5 years (SD = 12.0). Seventy-five percent had at least a BSc educational background. Of the respondents, 76 % indicated that patients should be encouraged more to quit smoking. Respondents were supportive to train their direct colleagues to provide cessation support more often (71 %) and also supported the involvement of mental health care facilities in providing cessation support to patients (69 %). The majority of the respondents feels capable to provide cessation support (66 %). Two thirds of the respondents wants to provide support, however only a minority (35 %) intends to actually do so during the coming year. Next, using SEM an acceptable fit was

  1. Experiences in disaster-related mental health relief work: An exploratory model for the interprofessional training of psychological relief workers.

    PubMed

    Ren, ZhengJia; Wang, HongTao; Zhang, Wei

    2017-01-01

    The purpose of this study was to begin to generate an exploratory model of the disaster-related mental health education process associated with the training experiences of psychological relief workers active during the Sichuan earthquake in China. The data consisted of semi-structured interviews with 20 psychological relief workers from four different professions (social workers, psychiatric nurses, psychiatrists, and counsellors) regarding their experiences in training and ideas for improvement. The model explains the need to use a people-centred community interprofessional education approach, which focuses on role-modelling of the trainer, caring for relief workers, paying attention to the needs of the trainee, and building systematic interprofessional education strategies. The proposed model identifies areas for the comprehensive training of relief workers and aims to address the importance of people-centred mental health service provisions, ensure intentional and strategic training of relief workers using interprofessional concepts and strategies, and use culturally attuned and community-informed strategies in mental health training practices.

  2. The Effect of Team Training Strategies on Team Mental Model Formation and Team Performance under Routine and Non-Routine Environmental Conditions

    ERIC Educational Resources Information Center

    Hamilton, Katherine L.

    2009-01-01

    The current study examined how the type of training a team receives (team coordination training vs. cross-training) influences the type of team mental model structures that form and how those mental models in turn impact team performance under different environmental condition (routine vs. non-routine). Three-hundred and fifty-two undergraduate…

  3. Reducing barriers to mental health care for student-athletes: An integrated care model.

    PubMed

    Sudano, Laura E; Collins, Greg; Miles, Christopher M

    2017-03-01

    Research suggests that National Collegiate Athletic Association (NCAA) Division I student-athletes have higher levels of stress and other behavioral health issues, including substance use, than nonathletes. For several reasons, student-athletes may be less likely to admit to behavioral health issues and seek mental health care. Integrated care is a model of care that integrates behavioral health into a medical practice. This article explores the newly released NCAA Best Mental Health Practice guidelines and the application of integrated care to a Division I athletic training room setting using the three-worldview framework for successful integration, incorporating clinical outcomes, operational reliability, and financial stability. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  4. Efficient and accurate approach to modeling the microstructure and defect properties of LaCoO3

    NASA Astrophysics Data System (ADS)

    Buckeridge, J.; Taylor, F. H.; Catlow, C. R. A.

    2016-04-01

    Complex perovskite oxides are promising materials for cathode layers in solid oxide fuel cells. Such materials have intricate electronic, magnetic, and crystalline structures that prove challenging to model accurately. We analyze a wide range of standard density functional theory approaches to modeling a highly promising system, the perovskite LaCoO3, focusing on optimizing the Hubbard U parameter to treat the self-interaction of the B-site cation's d states, in order to determine the most appropriate method to study defect formation and the effect of spin on local structure. By calculating structural and electronic properties for different magnetic states we determine that U =4 eV for Co in LaCoO3 agrees best with available experiments. We demonstrate that the generalized gradient approximation (PBEsol +U ) is most appropriate for studying structure versus spin state, while the local density approximation (LDA +U ) is most appropriate for determining accurate energetics for defect properties.

  5. How Visuo-Spatial Mental Imagery Develops: Image Generation and Maintenance

    PubMed Central

    Wimmer, Marina C.; Maras, Katie L.; Robinson, Elizabeth J; Doherty, Martin J; Pugeault, Nicolas

    2015-01-01

    Two experiments examined the nature of visuo-spatial mental imagery generation and maintenance in 4-, 6-, 8-, 10-year old children and adults (N = 211). The key questions were how image generation and maintenance develop (Experiment 1) and how accurately children and adults coordinate mental and visually perceived images (Experiment 2). Experiment 1 indicated that basic image generation and maintenance abilities are present at 4 years of age but the precision with which images are generated and maintained improves particularly between 4 and 8 years. In addition to increased precision, Experiment 2 demonstrated that generated and maintained mental images become increasingly similar to visually perceived objects. Altogether, findings suggest that for simple tasks demanding image generation and maintenance, children attain adult-like precision younger than previously reported. This research also sheds new light on the ability to coordinate mental images with visual images in children and adults. PMID:26562296

  6. Computational Models of the Representation of Bangla Compound Words in the Mental Lexicon.

    PubMed

    Dasgupta, Tirthankar; Sinha, Manjira; Basu, Anupam

    2016-08-01

    In this paper we aim to model the organization and processing of Bangla compound words in the mental lexicon. Our objective is to determine whether the mental lexicon access a Bangla compound word as a whole or decomposes the whole word into its constituent morphemes and then recognize them accordingly. To address this issue, we adopted two different strategies. First, we conduct a cross-modal priming experiment over a number of native speakers. Analysis of reaction time (RT) and error rates indicates that in general, Bangla compound words are accessed via partial decomposition process. That is some word follows full-listing mode of representation and some words follow the decomposition route of representation. Next, based on the collected RT data we have developed a computational model that can explain the processing phenomena of the access and representation of Bangla compound words. In order to achieve this, we first explored the individual roles of head word position, morphological complexity, orthographic transparency and semantic compositionality between the constituents and the whole compound word. Accordingly, we have developed a complexity based model by combining these features together. To a large extent we have successfully explained the possible processing phenomena of most of the Bangla compound words. Our proposed model shows an accuracy of around 83 %.

  7. Investigation of Secondary School, Undergraduate, and Graduate Learners' Mental Models of Ionic Bonding.

    ERIC Educational Resources Information Center

    Coll, Richard K.; Treagust, David F.

    2003-01-01

    Explores secondary school, undergraduate, and graduate level learners' mental models of bonding with ionic substances through an interview protocol involving the use of physical substances and a focus card containing depictions of ionic bonding and structure. Suggests that teachers and university faculty need to provide stronger links between the…

  8. Making the Invisible Visible: Personas and Mental Models of Distance Education Library Users

    ERIC Educational Resources Information Center

    Lewis, Cynthia; Contrino, Jacline

    2016-01-01

    Gaps between users' and designers' mental models of digital libraries often result in adverse user experiences. This article details an exploratory user research study at a large, predominantly online university serving non-traditional distance education students with the goal of understanding these gaps. Using qualitative data, librarians created…

  9. Accurate Modeling of Dark-Field Scattering Spectra of Plasmonic Nanostructures.

    PubMed

    Jiang, Liyong; Yin, Tingting; Dong, Zhaogang; Liao, Mingyi; Tan, Shawn J; Goh, Xiao Ming; Allioux, David; Hu, Hailong; Li, Xiangyin; Yang, Joel K W; Shen, Zexiang

    2015-10-27

    Dark-field microscopy is a widely used tool for measuring the optical resonance of plasmonic nanostructures. However, current numerical methods for simulating the dark-field scattering spectra were carried out with plane wave illumination either at normal incidence or at an oblique angle from one direction. In actual experiments, light is focused onto the sample through an annular ring within a range of glancing angles. In this paper, we present a theoretical model capable of accurately simulating the dark-field light source with an annular ring. Simulations correctly reproduce a counterintuitive blue shift in the scattering spectra from gold nanodisks with a diameter beyond 140 nm. We believe that our proposed simulation method can be potentially applied as a general tool capable of simulating the dark-field scattering spectra of plasmonic nanostructures as well as other dielectric nanostructures with sizes beyond the quasi-static limit.

  10. Health policy and integrated mental health care in the SADC region: strategic clarification using the Rainbow Model.

    PubMed

    van Rensburg, André Janse; Fourie, Pieter

    2016-01-01

    Mental illness is a well-known challenge to global development, particularly in low-to-middle income countries. A key health systems response to mental illness is different models of integrated health care, especially popular in the South African Development Community (SADC) region. This complex construct is often not well-defined in health policy, hampering implementation efforts. A key development in this vein has been the Rainbow Model of integrated care, a comprehensive framework and taxonomy of integrated care based on the integrative functions of primary care. The purpose of this study was to explore the nature and strategic forms of integrated mental health care in selected SADC countries, specifically how integrated care is outlined in state-driven policies. Health policies from five SADC countries were analysed using the Rainbow Model as framework. Electronic copies of policy documents were transferred into NVivo 10, which aided in the framework analysis on the different types of integrated mental health care promoted in the countries assessed. Several Rainbow Model components were emphasised. Clinical integration strategies (coordination of person-focused care) such as centrality of client needs, case management and continuity were central considerations, while others such as patient education and client satisfaction were largely lacking. Professional integration (inter-professional partnerships) was mentioned in terms of agreements on interdisciplinary collaboration and performance management, while organisational integration (inter-organisational relationships) emerged under the guise of inter-organisational governance, population needs and interest management. Among others, available resources, population management and stakeholder management fed into system integration strategies (horizontally and vertically integrated systems), while functional integration strategies (financial, management and information system functions) included human resource

  11. A Social Media Based Index of Mental Well-Being in College Campuses.

    PubMed

    Bagroy, Shrey; Kumaraguru, Ponnurangam; De Choudhury, Munmun

    2017-05-01

    Psychological distress in the form of depression, anxiety and other mental health challenges among college students is a growing health concern. Dearth of accurate, continuous, and multi-campus data on mental well-being presents significant challenges to intervention and mitigation efforts in college campuses. We examine the potential of social media as a new "barometer" for quantifying the mental well-being of college populations. Utilizing student-contributed data in Reddit communities of over 100 universities, we first build and evaluate a transfer learning based classification approach that can detect mental health expressions with 97% accuracy. Thereafter, we propose a robust campus-specific Mental Well-being Index: MWI. We find that MWI is able to reveal meaningful temporal patterns of mental well-being in campuses, and to assess how their expressions relate to university attributes like size, academic prestige, and student demographics. We discuss the implications of our work for improving counselor efforts, and in the design of tools that can enable better assessment of the mental health climate of college campuses.

  12. A Social Media Based Index of Mental Well-Being in College Campuses

    PubMed Central

    Bagroy, Shrey; Kumaraguru, Ponnurangam; De Choudhury, Munmun

    2017-01-01

    Psychological distress in the form of depression, anxiety and other mental health challenges among college students is a growing health concern. Dearth of accurate, continuous, and multi-campus data on mental well-being presents significant challenges to intervention and mitigation efforts in college campuses. We examine the potential of social media as a new “barometer” for quantifying the mental well-being of college populations. Utilizing student-contributed data in Reddit communities of over 100 universities, we first build and evaluate a transfer learning based classification approach that can detect mental health expressions with 97% accuracy. Thereafter, we propose a robust campus-specific Mental Well-being Index: MWI. We find that MWI is able to reveal meaningful temporal patterns of mental well-being in campuses, and to assess how their expressions relate to university attributes like size, academic prestige, and student demographics. We discuss the implications of our work for improving counselor efforts, and in the design of tools that can enable better assessment of the mental health climate of college campuses. PMID:28840202

  13. [A test of the focusing hypothesis for category judgment: an explanation using the mental-box model].

    PubMed

    Hatori, Tsuyoshi; Takemura, Kazuhisa; Fujii, Satoshi; Ideno, Takashi

    2011-06-01

    This paper presents a new model of category judgment. The model hypothesizes that, when more attention is focused on a category, the psychological range of the category gets narrower (category-focusing hypothesis). We explain this hypothesis by using the metaphor of a "mental-box" model: the more attention that is focused on a mental box (i.e., a category set), the smaller the size of the box becomes (i.e., a cardinal number of the category set). The hypothesis was tested in an experiment (N = 40), where the focus of attention on prescribed verbal categories was manipulated. The obtained data gave support to the hypothesis: category-focusing effects were found in three experimental tasks (regarding the category of "food", "height", and "income"). The validity of the hypothesis was discussed based on the results.

  14. The Impact of Secondary School Students' Preconceptions on the Evolution of Their Mental Models of the Greenhouse Effect and Global Warming

    ERIC Educational Resources Information Center

    Reinfried, Sibylle; Tempelmann, Sebastian

    2014-01-01

    This paper provides a video-based learning process study that investigates the kinds of mental models of the atmospheric greenhouse effect 13-year-old learners have and how these mental models change with a learning environment, which is optimised in regard to instructional psychology. The objective of this explorative study was to observe and…

  15. Understanding the Effects of Team Cognition Associated with Complex Engineering Tasks: Dynamics of Shared Mental Models, Task-SMM, and Team-SMM

    ERIC Educational Resources Information Center

    Lee, Miyoung; Johnson, Tristan E.

    2008-01-01

    This study investigates how shared mental models (SMMs) change over time in teams of students in a manufacturing engineering course. A complex ill-structured project was given to each team. The objective of the team project was to analyze, test, and propose ways to improve their given manufactured product. Shared mental models were measured in…

  16. A Dynamic Cycle of Familial Mental Illness.

    PubMed

    Murphy, Gillian; Peters, Kathleen; Wilkes, Lesley; Jackson, Debra

    2014-12-01

    In this paper, we present A Dynamic Cycle of Familial Mental Illness; an innovative framework, which considers family members' experiences and responses to mental illness. There is an acknowledged discourse noting parental experiences of mental illness alongside a growing body of knowledge acknowledging children's needs while living with parental mental illness. However, there is a paucity of literature that makes reference to the concept of familial mental illness and the cyclic interface of parental and child distress and symptoms. The model is supported by published research studies from several differing disciplines to demonstrate the relationship between parent and child experiences and to synthesise the published short- and longer-term possible impact of familial mental illness. An extensive search of the literature using recognised search engines, keywords and phrases has been undertaken, to generate an appropriate literature base for this work. This literature demonstrates how a child's possible emotional distancing as a response to parental mental illness could increase parental distress. A Dynamic Cycle of Familial Mental Illness adopts the underpinning philosophy of a Stress Vulnerability Model of Mental Illness, which assumes that predisposing factors and increased stress for a parent may have possible links to exacerbation of parental mental distress and symptomology. We advocate for further research of familial mental illness, and argue for a family approach to mental health assessment and treatment in mainstream health and social care sectors.

  17. An evaluation of in vivo desensitization and video modeling to increase compliance with dental procedures in persons with mental retardation.

    PubMed Central

    Conyers, Carole; Miltenberger, Raymond G; Peterson, Blake; Gubin, Amber; Jurgens, Mandy; Selders, Andrew; Dickinson, Jessica; Barenz, Rebecca

    2004-01-01

    Fear of dental procedures deters many individuals with mental retardation from accepting dental treatment. This study was conducted to assess the effectiveness of two procedures, in vivo desensitization and video modeling, for increasing compliance with dental procedures in participants with severe or profound mental retardation. Desensitization increased compliance for all 5 participants, whereas video modeling increased compliance for only 1 of 3 participants. PMID:15293644

  18. The Effects of the Coordination Support on Shared Mental Models and Coordinated Action

    ERIC Educational Resources Information Center

    Kim, Hyunsong; Kim, Dongsik

    2008-01-01

    The purpose of this study was to examine the effects of coordination support (tool support and tutor support) on the development of shared mental models (SMMs) and coordinated action in a computer-supported collaborative learning environment. Eighteen students were randomly assigned to one of three conditions, including the tool condition, the…

  19. Exploring the Impacts of Housing Condition on Migrants' Mental Health in Nanxiang, Shanghai: A Structural Equation Modelling Approach.

    PubMed

    Xiao, Yang; Miao, Siyu; Sarkar, Chinmoy; Geng, Huizhi; Lu, Yi

    2018-01-29

    Although rapid urbanization and associated rural-to-urban migration has brought in enormous economic benefits in Chinese cities, one of the negative externalities include adverse effects upon the migrant workers' mental health. The links between housing conditions and mental health are well-established in healthy city and community planning scholarship. Nonetheless, there has thusfar been no Chinese study deciphering the links between housing conditions and mental health accounting for macro-level community environments, and no study has previously examined the nature of the relationships in locals and migrants. To overcome this research gap, we hypothesized that housing conditions may have a direct and indirect effects upon mental which may be mediated by neighbourhood satisfaction. We tested this hypothesis with the help of a household survey of 368 adult participants in Nanxiang Town, Shanghai, employing a structural equation modeling approach. Our results point to the differential pathways via which housing conditions effect mental health in locals and migrants. For locals, housing conditions have direct effects on mental health, while as for migrants, housing conditions have indirect effects on mental health, mediated via neighborhood satisfaction. Our findings have significant policy implications on building an inclusive and harmonious society. Upstream-level community interventions in the form of sustainable planning and designing of migrant neighborhoods can promote sense of community, social capital and support, thereby improving mental health and overall mental capital of Chinese cities.

  20. Competitive employment training for mentally retarded adults: the supported work model.

    PubMed

    Krauss, M W; MacEachron, A E

    1982-05-01

    The supported work model designed to train mentally retarded persons for competitive employment, was initiated as a pilot program in 1979. The placement rate was 50 percent. In order to investigate the predictors of placement, we conducted an empirical analysis using the theory of work adjustment perspective. Results indicated that the participant's work behavior and job skills, ability to meet the requirements of the jobs, and employment reinforcements were predictors of competitive placement.