Sample records for problem identification problem

  1. Problem identification for Virginia's highway safety plan.

    DOT National Transportation Integrated Search

    1982-01-01

    Problem identification is recognized as an important component of highway safety planning. Under the NHTSA/FHWA concept, problem identification is the first step in program planning and in the development of effective countermeasure programs. The ann...

  2. Development of adolescents' peer crowd identification in relation to changes in problem behaviors.

    PubMed

    Doornwaard, Suzan M; Branje, Susan; Meeus, Wim H J; ter Bogt, Tom F M

    2012-09-01

    This 5-wave longitudinal study, which included 1,313 Dutch adolescents, examined the development of peer crowd identification in relation to changes in problem behaviors. Adolescents from 2 age cohorts annually reported their identification with 7 peer crowds and their levels of internalizing and externalizing problem behaviors. Univariate latent growth curve analyses revealed declines (i.e., "Hip Hoppers" and "Metal Heads") or declines followed by stabilization (i.e., "Nonconformists") in identification with nonconventional crowds and increases (i.e., "Elites" and "Brains") or declines followed by stabilization (i.e., "Normals" and "Jocks") in identification with conventional crowds. Multivariate latent growth curve analyses indicated that stronger and more persistent identifications with nonconventional crowds were generally associated with more problem behaviors throughout adolescence. In contrast, stronger and more persistent identifications with conventional crowds were generally associated with fewer problem behaviors throughout adolescence with the notable exception of Brains, who showed a mixed pattern. Though characterized by fewer externalizing problems, this group did report more anxiety problems. These findings and their implications are discussed. PsycINFO Database Record (c) 2012 APA, all rights reserved.

  3. Lower Sensitivity to Happy and Angry Facial Emotions in Young Adults with Psychiatric Problems

    PubMed Central

    Vrijen, Charlotte; Hartman, Catharina A.; Lodder, Gerine M. A.; Verhagen, Maaike; de Jonge, Peter; Oldehinkel, Albertine J.

    2016-01-01

    Many psychiatric problem domains have been associated with emotion-specific biases or general deficiencies in facial emotion identification. However, both within and between psychiatric problem domains, large variability exists in the types of emotion identification problems that were reported. Moreover, since the domain-specificity of the findings was often not addressed, it remains unclear whether patterns found for specific problem domains can be better explained by co-occurrence of other psychiatric problems or by more generic characteristics of psychopathology, for example, problem severity. In this study, we aimed to investigate associations between emotion identification biases and five psychiatric problem domains, and to determine the domain-specificity of these biases. Data were collected as part of the ‘No Fun No Glory’ study and involved 2,577 young adults. The study participants completed a dynamic facial emotion identification task involving happy, sad, angry, and fearful faces, and filled in the Adult Self-Report Questionnaire, of which we used the scales depressive problems, anxiety problems, avoidance problems, Attention-Deficit Hyperactivity Disorder (ADHD) problems and antisocial problems. Our results suggest that participants with antisocial problems were significantly less sensitive to happy facial emotions, participants with ADHD problems were less sensitive to angry emotions, and participants with avoidance problems were less sensitive to both angry and happy emotions. These effects could not be fully explained by co-occurring psychiatric problems. Whereas this seems to indicate domain-specificity, inspection of the overall pattern of effect sizes regardless of statistical significance reveals generic patterns as well, in that for all psychiatric problem domains the effect sizes for happy and angry emotions were larger than the effect sizes for sad and fearful emotions. As happy and angry emotions are strongly associated with approach and avoidance mechanisms in social interaction, these mechanisms may hold the key to understanding the associations between facial emotion identification and a wide range of psychiatric problems. PMID:27920735

  4. Boundary shape identification problems in two-dimensional domains related to thermal testing of materials

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Kojima, Fumio

    1988-01-01

    The identification of the geometrical structure of the system boundary for a two-dimensional diffusion system is reported. The domain identification problem treated here is converted into an optimization problem based on a fit-to-data criterion and theoretical convergence results for approximate identification techniques are discussed. Results of numerical experiments to demonstrate the efficacy of the theoretical ideas are reported.

  5. A Galerkin method for the estimation of parameters in hybrid systems governing the vibration of flexible beams with tip bodies

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Rosen, I. G.

    1985-01-01

    An approximation scheme is developed for the identification of hybrid systems describing the transverse vibrations of flexible beams with attached tip bodies. In particular, problems involving the estimation of functional parameters are considered. The identification problem is formulated as a least squares fit to data subject to the coupled system of partial and ordinary differential equations describing the transverse displacement of the beam and the motion of the tip bodies respectively. A cubic spline-based Galerkin method applied to the state equations in weak form and the discretization of the admissible parameter space yield a sequence of approximating finite dimensional identification problems. It is shown that each of the approximating problems admits a solution and that from the resulting sequence of optimal solutions a convergent subsequence can be extracted, the limit of which is a solution to the original identification problem. The approximating identification problems can be solved using standard techniques and readily available software.

  6. Identification and stochastic control of helicopter dynamic modes

    NASA Technical Reports Server (NTRS)

    Molusis, J. A.; Bar-Shalom, Y.

    1983-01-01

    A general treatment of parameter identification and stochastic control for use on helicopter dynamic systems is presented. Rotor dynamic models, including specific applications to rotor blade flapping and the helicopter ground resonance problem are emphasized. Dynamic systems which are governed by periodic coefficients as well as constant coefficient models are addressed. The dynamic systems are modeled by linear state variable equations which are used in the identification and stochastic control formulation. The pure identification problem as well as the stochastic control problem which includes combined identification and control for dynamic systems is addressed. The stochastic control problem includes the effect of parameter uncertainty on the solution and the concept of learning and how this is affected by the control's duel effect. The identification formulation requires algorithms suitable for on line use and thus recursive identification algorithms are considered. The applications presented use the recursive extended kalman filter for parameter identification which has excellent convergence for systems without process noise.

  7. Inverse problems and optimal experiment design in unsteady heat transfer processes identification

    NASA Technical Reports Server (NTRS)

    Artyukhin, Eugene A.

    1991-01-01

    Experimental-computational methods for estimating characteristics of unsteady heat transfer processes are analyzed. The methods are based on the principles of distributed parameter system identification. The theoretical basis of such methods is the numerical solution of nonlinear ill-posed inverse heat transfer problems and optimal experiment design problems. Numerical techniques for solving problems are briefly reviewed. The results of the practical application of identification methods are demonstrated when estimating effective thermophysical characteristics of composite materials and thermal contact resistance in two-layer systems.

  8. A novel optimization algorithm for MIMO Hammerstein model identification under heavy-tailed noise.

    PubMed

    Jin, Qibing; Wang, Hehe; Su, Qixin; Jiang, Beiyan; Liu, Qie

    2018-01-01

    In this paper, we study the system identification of multi-input multi-output (MIMO) Hammerstein processes under the typical heavy-tailed noise. To the best of our knowledge, there is no general analytical method to solve this identification problem. Motivated by this, we propose a general identification method to solve this problem based on a Gaussian-Mixture Distribution intelligent optimization algorithm (GMDA). The nonlinear part of Hammerstein process is modeled by a Radial Basis Function (RBF) neural network, and the identification problem is converted to an optimization problem. To overcome the drawbacks of analytical identification method in the presence of heavy-tailed noise, a meta-heuristic optimization algorithm, Cuckoo search (CS) algorithm is used. To improve its performance for this identification problem, the Gaussian-mixture Distribution (GMD) and the GMD sequences are introduced to improve the performance of the standard CS algorithm. Numerical simulations for different MIMO Hammerstein models are carried out, and the simulation results verify the effectiveness of the proposed GMDA. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

  9. K-State Problem Identification Rating Scales for College Students

    ERIC Educational Resources Information Center

    Robertson, John M.; Benton, Stephen L.; Newton, Fred B.; Downey, Ronald G.; Marsh, Patricia A.; Benton, Sheryl A.; Tseng, Wen-Chih; Shin, Kang-Hyun

    2006-01-01

    The K-State Problem Identification Rating Scales, a new screening instrument for college counseling centers, gathers information about clients' presenting symptoms, functioning levels, and readiness to change. Three studies revealed 7 scales: Mood Difficulties, Learning Problems, Food Concerns, Interpersonal Conflicts, Career Uncertainties,…

  10. Pediatrician identification of child behavior problems: the roles of parenting factors and cross-practice differences.

    PubMed

    Dempster, Robert M; Wildman, Beth G; Langkamp, Diane; Duby, John C

    2012-06-01

    While most primary care pediatricians acknowledge the importance of identifying child behavior problems, fewer than 2% of children with a diagnosable psychological disorder are referred for mental health care in any given year. The present study examined the potential role of parental characteristics (parental affect, parenting style, and parenting self-efficacy) in pediatrician identification of child behavior problems, and determined whether these relationships differed across practices. Parents of 831 children between 2 and 16 years completed questionnaires regarding demographic information, their child's behavior, their affect, their parenting style, and their parenting self-efficacy. Pediatricians completed a brief questionnaire following visits in four community-based primary care practices in the Midwest. Logistic regressions controlling for child behavior and demographic predictors of pediatrician identification found that an authoritarian parenting style, in which parents yell or strongly negatively react to problem behavior, was negatively associated with likelihood of identification in the overall sample. However, the variables that were predictive of pediatrician identification differed depending on the specific practice. Parental characteristics can aid in understanding which children are likely to be identified by their pediatrician as having behavioral problems. The finding that practices differed on which variables were associated with pediatrician identification suggests the need to potentially individualize interventions to certain physicians and practices to improve identification of child behavior problems in primary care.

  11. Approach to the problem of the parameters optimization of the shooting system

    NASA Astrophysics Data System (ADS)

    Demidova, L. A.; Sablina, V. A.; Sokolova, Y. S.

    2018-02-01

    The problem of the objects identification on the base of their hyperspectral features has been considered. It is offered to use the SVM classifiers’ ensembles, adapted to specifics of the problem of the objects identification on the base of their hyperspectral features. The results of the objects identification on the base of their hyperspectral features with using of the SVM classifiers have been presented.

  12. Evaluating an Art-Based Intervention to Improve Practicing Nurses' Observation, Description, and Problem Identification Skills.

    PubMed

    Nease, Beth M; Haney, Tina S

    Astute observation, description, and problem identification skills provide the underpinning for nursing assessment, surveillance, and prevention of failure to rescue events. Art-based education has been effective in nursing schools for improving observation, description, and problem identification. The authors describe a randomized controlled pilot study testing the effectiveness of an art-based educational intervention aimed at improving these skills in practicing nurses.

  13. Parameter identification using a creeping-random-search algorithm

    NASA Technical Reports Server (NTRS)

    Parrish, R. V.

    1971-01-01

    A creeping-random-search algorithm is applied to different types of problems in the field of parameter identification. The studies are intended to demonstrate that a random-search algorithm can be applied successfully to these various problems, which often cannot be handled by conventional deterministic methods, and, also, to introduce methods that speed convergence to an extremal of the problem under investigation. Six two-parameter identification problems with analytic solutions are solved, and two application problems are discussed in some detail. Results of the study show that a modified version of the basic creeping-random-search algorithm chosen does speed convergence in comparison with the unmodified version. The results also show that the algorithm can successfully solve problems that contain limits on state or control variables, inequality constraints (both independent and dependent, and linear and nonlinear), or stochastic models.

  14. A gradient based algorithm to solve inverse plane bimodular problems of identification

    NASA Astrophysics Data System (ADS)

    Ran, Chunjiang; Yang, Haitian; Zhang, Guoqing

    2018-02-01

    This paper presents a gradient based algorithm to solve inverse plane bimodular problems of identifying constitutive parameters, including tensile/compressive moduli and tensile/compressive Poisson's ratios. For the forward bimodular problem, a FE tangent stiffness matrix is derived facilitating the implementation of gradient based algorithms, for the inverse bimodular problem of identification, a two-level sensitivity analysis based strategy is proposed. Numerical verification in term of accuracy and efficiency is provided, and the impacts of initial guess, number of measurement points, regional inhomogeneity, and noisy data on the identification are taken into accounts.

  15. Installation Restoration Program. Phase II: Stage 1 Problem Confirmation Study, Duluth International Airport, Duluth, Minnesota.

    DTIC Science & Technology

    1984-10-01

    8 iii "i t-. Table of Contents (cont.) Section Title Page -APPENDIX A Acronyms, Definitions, Nomenclature and Units of Measure B Scope of Work, Task...Identification/Records Search Phase II - Problem Confirmation and Quantification Phase III - Technology Base Development Phase IV - Corrective Action Only...Problem Identification/Records Search Phase II - Problem Confirmation and Quantification Phase III - Technology Base Development Phase IV - Corrective

  16. A numerical scheme for the identification of hybrid systems describing the vibration of flexible beams with tip bodies

    NASA Technical Reports Server (NTRS)

    Rosen, I. G.

    1984-01-01

    A cubic spline based Galerkin-like method is developed for the identification of a class of hybrid systems which describe the transverse vibration to flexible beams with attached tip bodies. The identification problem is formulated as a least squares fit to data subject to the system dynamics given by a coupled system of ordnary and partial differential equations recast as an abstract evolution equation (AEE) in an appropriate infinite dimensional Hilbert space. Projecting the AEE into spline-based subspaces leads naturally to a sequence of approximating finite dimensional identification problems. The solutions to these problems are shown to exist, are relatively easily computed, and are shown to, in some sense, converge to solutions to the original identification problem. Numerical results for a variety of examples are discussed.

  17. A truncated generalized singular value decomposition algorithm for moving force identification with ill-posed problems

    NASA Astrophysics Data System (ADS)

    Chen, Zhen; Chan, Tommy H. T.

    2017-08-01

    This paper proposes a new methodology for moving force identification (MFI) from the responses of bridge deck. Based on the existing time domain method (TDM), the MFI problem eventually becomes solving the linear algebraic equation in the form Ax = b . The vector b is usually contaminated by an unknown error e generating from measurement error, which often called the vector e as ''noise''. With the ill-posed problems that exist in the inverse problem, the identification force would be sensitive to the noise e . The proposed truncated generalized singular value decomposition method (TGSVD) aims at obtaining an acceptable solution and making the noise to be less sensitive to perturbations with the ill-posed problems. The illustrated results show that the TGSVD has many advantages such as higher precision, better adaptability and noise immunity compared with TDM. In addition, choosing a proper regularization matrix L and a truncation parameter k are very useful to improve the identification accuracy and to solve ill-posed problems when it is used to identify the moving force on bridge.

  18. Identification of Bouc-Wen hysteretic parameters based on enhanced response sensitivity approach

    NASA Astrophysics Data System (ADS)

    Wang, Li; Lu, Zhong-Rong

    2017-05-01

    This paper aims to identify parameters of Bouc-Wen hysteretic model using time-domain measured data. It follows a general inverse identification procedure, that is, identifying model parameters is treated as an optimization problem with the nonlinear least squares objective function. Then, the enhanced response sensitivity approach, which has been shown convergent and proper for such kind of problems, is adopted to solve the optimization problem. Numerical tests are undertaken to verify the proposed identification approach.

  19. The topology of the regularized integral surfaces of the 3-body problem

    NASA Technical Reports Server (NTRS)

    Easton, R.

    1971-01-01

    Momentum, angular momentum, and energy of integral surfaces in the planar three-body problem are considered. The end points of orbits which cross an isolating block are identified. It is shown that this identification has a unique extension to an identification which pairs the end points of orbits entering the block and which end in a binary collision with the end points of orbits leaving the block and which come from a binary collision. The problem of regularization is that of showing that the identification of the end points of crossing orbits has a continuous, unique extension. The regularized phase space for the three-body problem was obtained, as were regularized integral surfaces for the problem on which the three-body equations of motion induce flows. Finally the topology of these surfaces is described.

  20. Development of a conceptual integrated traffic safety problem identification database

    DOT National Transportation Integrated Search

    1999-12-01

    The project conceptualized a traffic safety risk management information system and statistical database for improved problem-driver identification, countermeasure development, and resource allocation. The California Department of Motor Vehicles Drive...

  1. Manual LANDSAT data analysis for crop type identification

    NASA Technical Reports Server (NTRS)

    Hay, C. M. (Principal Investigator)

    1979-01-01

    The process of manual identification of crop type by human analysts and problems associated in LACIE that were associated with manual crop identification measurement procedures are described. Research undertaken in cooperation with LACIE operations by the supporting research community to effect solutions to, or obtain greater understanding of the problems is discussed.

  2. Early Identification of Developmental Delays through Surveillance, Screening, and Diagnostic Evaluation

    ERIC Educational Resources Information Center

    Pizur-Barnekow, Kris; Erickson, Stephanie; Johnston, Mark; Bass, Tamicah; Lucinski, Loraine; Bleuel, Dan

    2010-01-01

    Developmental and behavioral problems in young children are prevalent in the United States. While young children experience an increased prevalence of such problems, a lack of early identification services continues to exist. Not only are early identification services required under American law, such as the Individual with Disabilities Education…

  3. [Tacit and explicit knowledge: comparative analysis of the prioritization of maternal health problems in Mexico].

    PubMed

    Moreno Zegbe, Estephania; Becerril Montekio, Víctor; Alcalde Rabanal, Jacqueline

    To identify coincidences and differences in the identification and prioritization of maternal healthcare service problems in Mexico based on the perspective of tacit knowledge and explicit knowledge that may offer evidence that can contribute to attaining the Sustainable Development Goals. Mixed study performed in three stages: 1) systematization of maternal healthcare service problems identified by tacit knowledge (derived from professional experience); 2) identification of maternal healthcare service problems in Latin America addressed by explicit knowledge (scientific publications); 3) comparison between the problems identified by tacit and explicit knowledge. The main problems of maternal health services identified by tacit knowledge are related to poor quality of care, while the predominant problems studied in the scientific literature are related to access barriers to health services. Approximately, 70% of the problems identified by tacit knowledge are also mentioned in the explicit knowledge. Conversely, 70% of the problems identified in the literature are also considered by tacit knowledge. Nevertheless, when looking at the problems taken one by one, no statistically significant similarities were found. The study discovered that the identification of maternal health service problems by tacit knowledge and explicit knowledge is fairly comparable, according to the comparability index used in the study, and highlights the interest of integrating both approaches in order to improve prioritization and decision making towards the Sustainable Development Goals. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  4. Conventional and Eccentric Uses of Crystallographic Databases in Practical Materials Identification Problems

    PubMed Central

    Kaduk, James A.

    1996-01-01

    The crystallographic databases are powerful and cost-effective tools for solving materials identification problems, both individually and in combination. Examples of the conventional and unconventional use of the databases in solving practical problems involving organic, coordination, and inorganic compounds are provided. The creation and use of fully-relational versions of the Powder Diffraction File and NIST Crystal Data are described. PMID:27805165

  5. Integrated identification, modeling and control with applications

    NASA Astrophysics Data System (ADS)

    Shi, Guojun

    This thesis deals with the integration of system design, identification, modeling and control. In particular, six interdisciplinary engineering problems are addressed and investigated. Theoretical results are established and applied to structural vibration reduction and engine control problems. First, the data-based LQG control problem is formulated and solved. It is shown that a state space model is not necessary to solve this problem; rather a finite sequence from the impulse response is the only model data required to synthesize an optimal controller. The new theory avoids unnecessary reliance on a model, required in the conventional design procedure. The infinite horizon model predictive control problem is addressed for multivariable systems. The basic properties of the receding horizon implementation strategy is investigated and the complete framework for solving the problem is established. The new theory allows the accommodation of hard input constraints and time delays. The developed control algorithms guarantee the closed loop stability. A closed loop identification and infinite horizon model predictive control design procedure is established for engine speed regulation. The developed algorithms are tested on the Cummins Engine Simulator and desired results are obtained. A finite signal-to-noise ratio model is considered for noise signals. An information quality index is introduced which measures the essential information precision required for stabilization. The problems of minimum variance control and covariance control are formulated and investigated. Convergent algorithms are developed for solving the problems of interest. The problem of the integrated passive and active control design is addressed in order to improve the overall system performance. A design algorithm is developed, which simultaneously finds: (i) the optimal values of the stiffness and damping ratios for the structure, and (ii) an optimal output variance constrained stabilizing controller such that the active control energy is minimized. A weighted q-Markov COVER method is introduced for identification with measurement noise. The result is use to develop an iterative closed loop identification/control design algorithm. The effectiveness of the algorithm is illustrated by experimental results.

  6. Problem Analysis: Examining the Selection and Evaluation of Data during Problem-Solving Consultation

    ERIC Educational Resources Information Center

    Newell, Markeda L.; Newell, Terrance S.

    2011-01-01

    The purpose of this study was to analyze how school psychologists engaged in problem analysis during problem-solving consultation. Five aspects of the problem analysis process were examined: 1) the types of questions participants asked during problem identification, 2) the types of data participants requested, 3) the frequency of requests for each…

  7. Identifying problem and compulsive gamblers.

    PubMed Central

    van Es, R.

    2000-01-01

    OBJECTIVE: To present a meta-analysis of current research on the prevalence, identification, and treatment of problem and compulsive gamblers. QUALITY OF EVIDENCE: Problem and compulsive gambling was not a socio-scientific concern until the last two decades. Hence research on this topic is limited. The summary and analysis for this paper relied on computer searches of journal and news abstracts in addition to direct contact with organizations addressing the identification and treatment of compulsive gamblers. MAIN MESSAGE: An estimated 5% of those who gamble run into problems. About 1% of those who gamble are predicted to experience serious problems. Successful treatment of problem and compulsive gambling continues to be a challenge. Although cognitive therapy has been the favoured approach, a combination of several therapeutic approaches is advocated. CONCLUSIONS: Problem and compulsive gambling can present a real health threat. As with other addictions, treatment strategies continue to be a baffling social problem. Aware and informed physicians can have a pivotal role in the difficult process of identifying, acknowledging, and remediating problem and compulsive gambling. PMID:10907572

  8. [Problems in organization of medical criminological registration and personality identification for subjects occupationally exposed to life risk].

    PubMed

    Shcherbakov, V V

    2000-01-01

    The paper discusses problems in organization of identification studies under conditions of mass deaths as exemplified by forensic medical records of medical criminological identification studies of subjects killed during war conflict in Chechnya. The evolution of the organization model of identification studies is shown transformation of organization philosophy, formation of expert algorithms, formalization and technologic realization of expert solutions.

  9. Perceived Ethnic Discrimination and Problem Behaviors in Muslim Immigrant Early Adolescents: Moderating Effects of Ethnic, Religious, and National Group Identification

    ERIC Educational Resources Information Center

    Maes, Marlies; Stevens, Gonneke W. J. M.; Verkuyten, Maykel

    2014-01-01

    Previous research has identified ethnic group identification as a moderator in the relationship between perceived ethnic discrimination and problem behaviors in ethnic minority children. However, little is known about the influence of religious and host national identification on this relationship. This study investigated the moderating role of…

  10. On multiple crack identification by ultrasonic scanning

    NASA Astrophysics Data System (ADS)

    Brigante, M.; Sumbatyan, M. A.

    2018-04-01

    The present work develops an approach which reduces operator equations arising in the engineering problems to the problem of minimizing the discrepancy functional. For this minimization, an algorithm of random global search is proposed, which is allied to some genetic algorithms. The efficiency of the method is demonstrated by the solving problem of simultaneous identification of several linear cracks forming an array in an elastic medium by using the circular Ultrasonic scanning.

  11. Problems of Dual-Career Black Couples: Identification and Implications for Family Interventions.

    ERIC Educational Resources Information Center

    Thomas, Veronica G.

    1990-01-01

    Examined problems of 41 dual-career Black couples. Findings indicated that dual-career Black couples experienced a number of problems related to their lifestyle. Found unique problems perceived by dual-career Black families. In addition to problems experienced by White dual-career couples, Blacks also faced racial discrimination, social isolation,…

  12. A comparison of Heuristic method and Llewellyn’s rules for identification of redundant constraints

    NASA Astrophysics Data System (ADS)

    Estiningsih, Y.; Farikhin; Tjahjana, R. H.

    2018-03-01

    Important techniques in linear programming is modelling and solving practical optimization. Redundant constraints are consider for their effects on general linear programming problems. Identification and reduce redundant constraints are for avoidance of all the calculations associated when solving an associated linear programming problems. Many researchers have been proposed for identification redundant constraints. This paper a compararison of Heuristic method and Llewellyn’s rules for identification of redundant constraints.

  13. How Captain Amerika uses neural networks to fight crime

    NASA Technical Reports Server (NTRS)

    Rogers, Steven K.; Kabrisky, Matthew; Ruck, Dennis W.; Oxley, Mark E.

    1994-01-01

    Artificial neural network models can make amazing computations. These models are explained along with their application in problems associated with fighting crime. Specific problems addressed are identification of people using face recognition, speaker identification, and fingerprint and handwriting analysis (biometric authentication).

  14. The Role of Problem Construction in Creative Production

    ERIC Educational Resources Information Center

    Reiter-Palmon, Roni

    2017-01-01

    This paper provides an overview of theory and research regarding problem construction and identification. Specifically, the paper reviews a theoretical model of processes associated with problem construction and empirical evidence in relation to the model. Finally, the paper reviews the literature on team problem construction.

  15. Preservice Teachers' Problem Solving: A Study of Problem Identification and Engagement Style Using the LIBRE Model

    ERIC Educational Resources Information Center

    Castro-Villarreal, Felicia; Guerra, Norma S.

    2012-01-01

    In this study, we examine 122 preservice teachers' reported problems and assessed engagement styles using the LIBRE model stick figure. Qualitative and descriptive data were gathered using (1) a qualitative problem-solving activity to identify preservice teachers' problems and engagement preferences and (2) descriptive analyses to depict and…

  16. A geometric approach to failure detection and identification in linear systems

    NASA Technical Reports Server (NTRS)

    Massoumnia, M. A.

    1986-01-01

    Using concepts of (C,A)-invariant and unobservability (complementary observability) subspaces, a geometric formulation of the failure detection and identification filter problem is stated. Using these geometric concepts, it is shown that it is possible to design a causal linear time-invariant processor that can be used to detect and uniquely identify a component failure in a linear time-invariant system, assuming: (1) The components can fail simultaneously, and (2) The components can fail only one at a time. In addition, a geometric formulation of Beard's failure detection filter problem is stated. This new formulation completely clarifies of output separability and mutual detectability introduced by Beard and also exploits the dual relationship between a restricted version of the failure detection and identification problem and the control decoupling problem. Moreover, the frequency domain interpretation of the results is used to relate the concepts of failure sensitive observers with the generalized parity relations introduced by Chow. This interpretation unifies the various failure detection and identification concepts and design procedures.

  17. The comprehensive community-based traffic safety program : phase I, problem identification for District 2 and District 7.

    DOT National Transportation Integrated Search

    1986-01-01

    This report contains the initial Problem Identification for the Comprehensive Community-Based Traffic Safety Program (CCBP). Two DMV districts, District 2 and District 7, have been selected as the pilot areas for the CCBP, and because both districts ...

  18. Comorbidity of Conduct Problems and ADHD: Identification of "Fledgling Psychopaths".

    ERIC Educational Resources Information Center

    Gresham, Frank M.; Lane, Kathleen L.; Lambros, Katina M.

    2000-01-01

    This article reviews the characteristics of children who exhibit a behavior pattern characterized by hyperactivity-impulsivity-inattention coupled with conduct problems such as fighting, stealing, truancy, noncompliance, and arguing. Procedures for early identification of these so-called "fledgling psychopaths" are described and discussed.…

  19. Nutrition Problem Classification for Children and Youth.

    ERIC Educational Resources Information Center

    Health Services Administration (DHEW/PHS), Rockville, MD. Bureau of Community Health Services.

    This nutrition problem classification system is an attempt to classify the nutritional needs and problems of children and youth. Its two most important uses are problem identification and monitoring for individual patients and creation of an information base for developing program plans for intervention in a service population. The classification…

  20. Psychology Problem Classification for Children and Youth.

    ERIC Educational Resources Information Center

    Minnesota Systems Research, Inc., Washington, DC.

    The development of Psychology Problem Classification is an early step in the direction of providing a uniform nomenclature for classifying the needs and problems of children and youth. There are many potential uses for a diagnostic classification and coding system. The two most important uses for the practitioner are problem identification and…

  1. Credit risk identification and suggestions of electricity market

    NASA Astrophysics Data System (ADS)

    He, Chuan; Wang, Haichao; Chen, Zhongyuan; Hao, Yuxing; Jiang, Hailong; Qian, Hanhan; Wang, Meibao

    2018-03-01

    The power industry has a long history of credit problems, and the power industry has credit problems such as power users defaulting on electricity bills before the new electricity reform. With the reform of the power system, the credit problems in the power industry will be more complicated. How to effectively avoid the risk factors existing in the course of market operation and how to safeguard the fairness and standardization of market operation is an urgent problem to be solved. This paper first describes the credit risk in power market, and analyzes the components of credit risk identification in power market, puts forward suggestions on power market risk management.

  2. Medical benefits from the NASA biomedical applications program

    NASA Technical Reports Server (NTRS)

    Sigmon, J. L.

    1974-01-01

    To achieve its goals the NASA Biomedical Applications Program performs four basic tasks: (1) identification of major medical problems which lend themselves to solution by relevant aerospace technology; (2) identification of relevant aerospace technology which can be applied to those problems; (3) application of that technology to demonstrate the feasibility as real solutions to the identified problems; and, (4) motivation of the industrial community to manufacture and market the identified solution to maximize the utilization of aerospace solutions to the biomedical community.

  3. The Stigma of Mental Illness as a Barrier to Self Labeling as Having a Mental Illness.

    PubMed

    Stolzenburg, Susanne; Freitag, Simone; Evans-Lacko, Sara; Muehlan, Holger; Schmidt, Silke; Schomerus, Georg

    2017-12-01

    The aim of this study was to investigate whether personal stigma decreases self-identification as having a mental illness in individuals with untreated mental health problems. We interviewed 207 persons with a currently untreated mental health problem as confirmed by a structured diagnostic interview. Measures included symptom appraisal, self-identification as having a mental illness (SELFI), self-labeling (open-ended question on the nature of their problem) stigma-related variables (explicit and implicit), as well as sociodemographics, current symptom severity, and previous treatment. Support for discrimination and implicit stigmatizing attitude were both associated with lower likelihood of self-identification. More social distance and support for discrimination were associated with less self-labeling. Previous treatment was the strongest predictor of symptom appraisal, SELFI, and self-labeling. Destigmatizing mental illness could increase awareness of personal mental health problems, potentially leading to lower rates of untreated mental illness.

  4. Sequenced Integration and the Identification of a Problem-Solving Approach through a Learning Process

    ERIC Educational Resources Information Center

    Cormas, Peter C.

    2016-01-01

    Preservice teachers (N = 27) in two sections of a sequenced, methodological and process integrated mathematics/science course solved a levers problem with three similar learning processes and a problem-solving approach, and identified a problem-solving approach through one different learning process. Similar learning processes used included:…

  5. Social Work Problem Classification for Children and Youth.

    ERIC Educational Resources Information Center

    Minnesota Systems Research, Inc., Washington, DC.

    The development of the Social Work Problem Classification is an early step in the provision of a uniform nomenclature for classifying the needs and problems of children and youth. There are many potential uses for a diagnostic classification and coding system. The two most important for the practitioner are: (1) problem identification and…

  6. A problem-solving approach to effective insulin injection for patients at either end of the body mass index.

    PubMed

    Juip, Micki; Fitzner, Karen

    2012-06-01

    People with diabetes require skills and knowledge to adhere to medication regimens and self-manage this complex disease. Effective self-management is contingent upon effective problem solving and decision making. Gaps existed regarding useful approaches to problem solving by individuals with very low and very high body mass index (BMI) who self-administer insulin injections. This article addresses those gaps by presenting findings from a patient survey, a symposium on the topic of problem solving, and recent interviews with diabetes educators to facilitate problem-solving approaches for people with diabetes with high and low BMI who inject insulin and/or other medications. In practice, problem solving involves problem identification, definition, and specification; goal and barrier identification are a prelude to generating a set of potential strategies for problem resolution and applying these strategies to implement a solution. Teaching techniques, such as site rotation and ensuring that people with diabetes use the appropriate equipment, increase confidence with medication adherence. Medication taking is more effective when people with diabetes are equipped with the knowledge, skills, and problem-solving behaviors to effectively self-manage their injections.

  7. Working memory dysfunctions predict social problem solving skills in schizophrenia.

    PubMed

    Huang, Jia; Tan, Shu-ping; Walsh, Sarah C; Spriggens, Lauren K; Neumann, David L; Shum, David H K; Chan, Raymond C K

    2014-12-15

    The current study aimed to examine the contribution of neurocognition and social cognition to components of social problem solving. Sixty-seven inpatients with schizophrenia and 31 healthy controls were administrated batteries of neurocognitive tests, emotion perception tests, and the Chinese Assessment of Interpersonal Problem Solving Skills (CAIPSS). MANOVAs were conducted to investigate the domains in which patients with schizophrenia showed impairments. Correlations were used to determine which impaired domains were associated with social problem solving, and multiple regression analyses were conducted to compare the relative contribution of neurocognitive and social cognitive functioning to components of social problem solving. Compared with healthy controls, patients with schizophrenia performed significantly worse in sustained attention, working memory, negative emotion, intention identification and all components of the CAIPSS. Specifically, sustained attention, working memory and negative emotion identification were found to correlate with social problem solving and 1-back accuracy significantly predicted the poor performance in social problem solving. Among the dysfunctions in schizophrenia, working memory contributed most to deficits in social problem solving in patients with schizophrenia. This finding provides support for targeting working memory in the development of future social problem solving rehabilitation interventions. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  8. Domain identification in impedance computed tomography by spline collocation method

    NASA Technical Reports Server (NTRS)

    Kojima, Fumio

    1990-01-01

    A method for estimating an unknown domain in elliptic boundary value problems is considered. The problem is formulated as an inverse problem of integral equations of the second kind. A computational method is developed using a splice collocation scheme. The results can be applied to the inverse problem of impedance computed tomography (ICT) for image reconstruction.

  9. A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems

    ERIC Educational Resources Information Center

    Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tzur, Ron

    2010-01-01

    Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…

  10. Algorithms for Data Sharing, Coordination, and Communication in Dynamic Network Settings

    DTIC Science & Technology

    2007-12-03

    problems in dynamic networks, focusing on mobile networks with wireless communication. Problems studied include data management, time synchronization ...The discovery of a fundamental limitation in capabilities for time synchronization in large networks. (2) The identification and development of the...Problems studied include data management, time synchronization , communication problems (broadcast, geocast, and point-to-point routing), distributed

  11. Criteria for opiate identification using liquid chromatography linked to tandem mass spectrometry: problems in routine practice.

    PubMed

    Fox, Elizabeth J; Twigger, Shirley; Allen, Keith R

    2009-01-01

    Liquid chromatography linked to tandem mass spectrometry (LC/MS/MS) is being increasingly used for drug confirmation. At present, no official criteria exist for drug identification using this technique although the European Union (EU) criteria for compound identification have been adopted. These criteria are evaluated with respect to opiate confirmation by LC/MS/MS and problems highlighted. Urine samples screened positive for opiates by immunoassay were subjected to confirmation by LC/MS/MS using multiple reaction monitoring (MRM) and two separate buffer systems of pH 6.8 and 8.0, respectively. The EU criteria for compound identification were applied for confirmation of morphine, 6-monoacetylmorphine (6MAM), codeine and dihydrocodeine (DHC). Using the pH 6.8 buffer, confirmation could be achieved for 84%, 94%, 96% and 95%, respectively, for samples demonstrating MRM chromatographic peaks at retention times for morphine, 6MAM, codeine and DHC. Failure to meet the EU criteria was mainly attributed to low signal-to-noise (S:N) ratios or excessively high drug concentrations. Isobaric interferences and poor chromatography were also contributing factors. The identification of morphine was considerably improved with chromatography at pH 8.0 owing to resolution of interferences. Oxycodone metabolites were a potential problem for the identification of DHC. Isobaric interferences can pose a problem with drug identification using LC/MS/MS. Optimizing chromatographic conditions is important to overcome these interferences. Consideration needs to be given to investigating drug metabolites as well as parent drugs in method development.

  12. Factors Affecting the Identification of Research Problems in Educational Administration Studies

    ERIC Educational Resources Information Center

    Yalçin, Mikail; Bektas, Fatih; Öztekin, Özge; Karadag, Engin

    2016-01-01

    The purpose of this study is to reveal the factors that affect the identification of research problems in educational administration studies. The study was designed using the case study method. Criterion sampling was used to determine the work group; the criterion used to select the participants was that of having a study in the field of…

  13. Biomedical research and aerospace technology applications

    NASA Technical Reports Server (NTRS)

    1971-01-01

    The accomplishments and activities of an Applications Team for biomedical subjects are presented. The team attempts to couple the technological problems and requirements in medicine with the relevant aerospace technology and, in particular, NASA-generated technology. The team actively engages in identifying these problems through direct contact with medical staffs or problem originators. The identification and specification of medical problems is followed by a search for technology which may be relevant to solutions to these problems.

  14. A constrained robust least squares approach for contaminant release history identification

    NASA Astrophysics Data System (ADS)

    Sun, Alexander Y.; Painter, Scott L.; Wittmeyer, Gordon W.

    2006-04-01

    Contaminant source identification is an important type of inverse problem in groundwater modeling and is subject to both data and model uncertainty. Model uncertainty was rarely considered in the previous studies. In this work, a robust framework for solving contaminant source recovery problems is introduced. The contaminant source identification problem is first cast into one of solving uncertain linear equations, where the response matrix is constructed using a superposition technique. The formulation presented here is general and is applicable to any porous media flow and transport solvers. The robust least squares (RLS) estimator, which originated in the field of robust identification, directly accounts for errors arising from model uncertainty and has been shown to significantly reduce the sensitivity of the optimal solution to perturbations in model and data. In this work, a new variant of RLS, the constrained robust least squares (CRLS), is formulated for solving uncertain linear equations. CRLS allows for additional constraints, such as nonnegativity, to be imposed. The performance of CRLS is demonstrated through one- and two-dimensional test problems. When the system is ill-conditioned and uncertain, it is found that CRLS gave much better performance than its classical counterpart, the nonnegative least squares. The source identification framework developed in this work thus constitutes a reliable tool for recovering source release histories in real applications.

  15. Identification and testing of countermeasures for specific alcohol accident types and problems. Volume 2, General driver alcohol problem

    DOT National Transportation Integrated Search

    1984-12-01

    This report summarizes work conducted to investigate the feasibility of developing effective countermeasures directed at specific alcohol-related accidents or problems. In Phase I, literature and accident data were reviewed to determine the scope and...

  16. A Case Study: The Implementation of a Problem-Solving Model with a Student with Reading Difficulties in Turkey

    ERIC Educational Resources Information Center

    Ozmen, E. Ruya; Doganay-Bilgi, Arzu

    2016-01-01

    The purpose of this case study was to improve the reading accuracy and reading comprehension of a 10-year-old fourth-grade female student with reading difficulties. For that purpose, the problem- solving model was implemented in four stages. These stages included problem identification, problem analysis, intervention, and evaluation. During the…

  17. [The state legal and expert identification aspects of protecting the right of the person for citizens of the Russian Federation].

    PubMed

    Bykov, I Iu; Kolkutin, V V; Tolmachev, I A; Dmitriev, E G

    2000-04-01

    The article deals with the questions concerning the problem of person identification, different extreme situations. This problem is closely connected with ensuring of national security of Russia. The authors give the definition of person's right in contact with constant threat to violate this right. Two categories of person's properties are analysed (material and not material) with the help of which it is possible to establish identity of man and his personality. It is noted that protection of person's rights is carried out in six forms. For the first time the possibilities to create organisational system of person identification in the form of Federal service are discussed that must be legislatively secured. Scientific investigation of this problem allowed the authors to submit concrete proposals concerning the question of organisation of state service for person identification.

  18. An approximation theory for the identification of nonlinear distributed parameter systems

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Reich, Simeon; Rosen, I. G.

    1988-01-01

    An abstract approximation framework for the identification of nonlinear distributed parameter systems is developed. Inverse problems for nonlinear systems governed by strongly maximal monotone operators (satisfying a mild continuous dependence condition with respect to the unknown parameters to be identified) are treated. Convergence of Galerkin approximations and the corresponding solutions of finite dimensional approximating identification problems to a solution of the original finite dimensional identification problem is demonstrated using the theory of nonlinear evolution systems and a nonlinear analog of the Trotter-Kato approximation result for semigroups of bounded linear operators. The nonlinear theory developed here is shown to subsume an existing linear theory as a special case. It is also shown to be applicable to a broad class of nonlinear elliptic operators and the corresponding nonlinear parabolic partial differential equations to which they lead. An application of the theory to a quasilinear model for heat conduction or mass transfer is discussed.

  19. Computational Issues in Damping Identification for Large Scale Problems

    NASA Technical Reports Server (NTRS)

    Pilkey, Deborah L.; Roe, Kevin P.; Inman, Daniel J.

    1997-01-01

    Two damping identification methods are tested for efficiency in large-scale applications. One is an iterative routine, and the other a least squares method. Numerical simulations have been performed on multiple degree-of-freedom models to test the effectiveness of the algorithm and the usefulness of parallel computation for the problems. High Performance Fortran is used to parallelize the algorithm. Tests were performed using the IBM-SP2 at NASA Ames Research Center. The least squares method tested incurs high communication costs, which reduces the benefit of high performance computing. This method's memory requirement grows at a very rapid rate meaning that larger problems can quickly exceed available computer memory. The iterative method's memory requirement grows at a much slower pace and is able to handle problems with 500+ degrees of freedom on a single processor. This method benefits from parallelization, and significant speedup can he seen for problems of 100+ degrees-of-freedom.

  20. Identification of a new source of reticle contamination

    NASA Astrophysics Data System (ADS)

    Grenon, Brian J.; Brinkley, David

    2016-10-01

    Since the introduction of 248 and 193 nm lithography sub-pellicle contamination has been a significant problem and a major contributor to reticle costs and semiconductor yield losses. The most common contaminant identified has been ammonium sulfate commonly called haze, however there have been many other contaminants identified and grouped in the category as haze. In attempts to mitigate the cause of this problem various processes and manufacturing protocols have been put in place to either prevent the problem or identify the source of the problem before there is a negative impact in the wafer fab. In spite of efforts to manage the effects of sub-pellicle contamination in the wafer fab, the problem continues to exist. Over the years we have identified many of the compounds and their sources that exist on the sub-pellicle surface, however one has been elusive. This paper will provide both the identification of this compound and its source.

  1. A continuum of sociotechnical requirements for patient-centered problem lists.

    PubMed

    Collins, Sarah; Tsivkin, Kira; Hongsermeier, Tonya; Dubois, David; Nandigam, Hari Krishna; Rocha, Roberto A

    2013-01-01

    Specific requirements for patient-centered health information technology remain ill-defined. To create operational definitions of patient-centered problem lists, we propose a continuum of sociotechnical requirements with five stages: 1) Intradisciplinary Care Planning: Viewing and searching for problems by discipline; 2) Multi-disciplinary Care Planning: Categorizing problem states to meet discipline-specific needs; 3) Interdisciplinary Care Planning: Sharing and linking problems between disciplines; 4) Integrated and Coordinated Care Planning: Associating problems with assessments, tasks, interventions and outcomes across disciplines for coordination, knowledge development, and reporting; and 5) Patient-Centered Care Planning: Engaging patients in identification of problems and maintenance of their problem list.

  2. On decoupling of volatility smile and term structure in inverse option pricing

    NASA Astrophysics Data System (ADS)

    Egger, Herbert; Hein, Torsten; Hofmann, Bernd

    2006-08-01

    Correct pricing of options and other financial derivatives is of great importance to financial markets and one of the key subjects of mathematical finance. Usually, parameters specifying the underlying stochastic model are not directly observable, but have to be determined indirectly from observable quantities. The identification of local volatility surfaces from market data of European vanilla options is one very important example of this type. As with many other parameter identification problems, the reconstruction of local volatility surfaces is ill-posed, and reasonable results can only be achieved via regularization methods. Moreover, due to the sparsity of data, the local volatility is not uniquely determined, but depends strongly on the kind of regularization norm used and a good a priori guess for the parameter. By assuming a multiplicative structure for the local volatility, which is motivated by the specific data situation, the inverse problem can be decomposed into two separate sub-problems. This removes part of the non-uniqueness and allows us to establish convergence and convergence rates under weak assumptions. Additionally, a numerical solution of the two sub-problems is much cheaper than that of the overall identification problem. The theoretical results are illustrated by numerical tests.

  3. Interior Noise Reduction by Adaptive Feedback Vibration Control

    NASA Technical Reports Server (NTRS)

    Lim, Tae W.

    1998-01-01

    The objective of this project is to investigate the possible use of adaptive digital filtering techniques in simultaneous, multiple-mode identification of the modal parameters of a vibrating structure in real-time. It is intended that the results obtained from this project will be used for state estimation needed in adaptive structural acoustics control. The work done in this project is basically an extension of the work on real-time single mode identification, which was performed successfully using a digital signal processor (DSP) at NASA, Langley. Initially, in this investigation the single mode identification work was duplicated on a different processor, namely the Texas Instruments TMS32OC40 DSP. The system identification results for the single mode case were very good. Then an algorithm for simultaneous two mode identification was developed and tested using analytical simulation. When it successfully performed the expected tasks, it was implemented in real-time on the DSP system to identify the first two modes of vibration of a cantilever aluminum beam. The results of the simultaneous two mode case were good but some problems were identified related to frequency warping and spurious mode identification. The frequency warping problem was found to be due to the bilinear transformation used in the algorithm to convert the system transfer function from the continuous-time domain to the discrete-time domain. An alternative approach was developed to rectify the problem. The spurious mode identification problem was found to be associated with high sampling rates. Noise in the signal is suspected to be the cause of this problem but further investigation will be needed to clarify the cause. For simultaneous identification of more than two modes, it was found that theoretically an adaptive digital filter can be designed to identify the required number of modes, but the algebra became very complex which made it impossible to implement in the DSP system used in this study. The on-line identification algorithm developed in this research will be useful in constructing a state estimator for feedback vibration control.

  4. Instructional Qualities of a Successful Mathematical Problem-Solving Class.

    ERIC Educational Resources Information Center

    Santos-Trigo, Manuel

    1998-01-01

    Describes activities that have been successfully implemented by an expert during a mathematical problem-solving course. Focuses on the identification of the qualities of these problems used to promote the development of student strategies and values that reflect mathematical practice in the classroom. Contains 17 references. (ASK)

  5. Identification and testing of countermeasures for specific alcohol accident types and problems. Volume 3, The heavy truck alcohol problem

    DOT National Transportation Integrated Search

    1984-12-01

    This report summarizes the results of work conducted during 1979 pertaining to the scope and nature of the heavy truck alcohol problem. Included in a review of literature available at that time, a detailed examination of the Fatal Accident Reporting ...

  6. A Portfolio of Energy Ideas: Social Studies.

    ERIC Educational Resources Information Center

    Clark, Richard C., Ed.

    Presented are 12 social studies units which examine current energy issues and present energy dilemmas for careful study and reflection. The activities emphasize: (1) a range of teaching strategies; (2) problem identification, problem solving, and problem analysis; (3) futures education; (4) students as active learners; and (5) consideration of the…

  7. Student Errors in Dynamic Mathematical Environments

    ERIC Educational Resources Information Center

    Brown, Molly; Bossé, Michael J.; Chandler, Kayla

    2016-01-01

    This study investigates the nature of student errors in the context of problem solving and Dynamic Math Environments. This led to the development of the Problem Solving Action Identification Framework; this framework captures and defines all activities and errors associated with problem solving in a dynamic math environment. Found are three…

  8. Application of statistical process control and process capability analysis procedures in orbiter processing activities at the Kennedy Space Center

    NASA Technical Reports Server (NTRS)

    Safford, Robert R.; Jackson, Andrew E.; Swart, William W.; Barth, Timothy S.

    1994-01-01

    Successful ground processing at KSC requires that flight hardware and ground support equipment conform to specifications at tens of thousands of checkpoints. Knowledge of conformance is an essential requirement for launch. That knowledge of conformance at every requisite point does not, however, enable identification of past problems with equipment, or potential problem areas. This paper describes how the introduction of Statistical Process Control and Process Capability Analysis identification procedures into existing shuttle processing procedures can enable identification of potential problem areas and candidates for improvements to increase processing performance measures. Results of a case study describing application of the analysis procedures to Thermal Protection System processing are used to illustrate the benefits of the approaches described in the paper.

  9. Problems of identification associated with victims of aerodisaster: the Port Harcourt experience in December 2005.

    PubMed

    Seleye-Fubara, D; Etebu, E N; Athanasius, B P

    2012-01-01

    The problems associated with identification of victims after mass disaster such as aero-accident require an elaborate study with an attempt at proffering solutions in the midst of limited facilities. This is a case study of aero-disaster carried out by the authors at Port Harcourt International Airport on 10th December 2005. Information was adequately disseminated through different media to alert the public to come for the identification of the bodies. The 106 victims were then separated into those whose bodies were intact with few areas of burns, crushed/multiple fractures, those with severe burns, and dismembered or disintegrated bodies. Problems of identification was noticed in 26 (24.5%) of the victims which form the basis for this study. Those disputed by more than one family n = 11 (42.3%), those without dispute but very difficult to identify n = 6 (23.1%) and those that could not be identified n = 9 (34.6%). The cause of the identification difficulty also ranged from total disintegration of the bodies n = 9 (34.6%), severely burnt bodies n = 12 (46.2%) to those crushed with multiple fractures n = 5 (19.2%). Problems of identification of severely injured victims of aero-disaster in a limited facility setting can be minimized if strict and well documented pre-travel biometric profiles are taken. Facility for DNA fingerprint, forensic odontologists and forensic anthropologist should be provided. There should also be institution of aviation accident investigation team (AAIT) and mass disaster planning team (MDPT) to aid the identification of victims and probe into the cause and effect of the accident.

  10. On the problem of modeling for parameter identification in distributed structures

    NASA Technical Reports Server (NTRS)

    Norris, Mark A.; Meirovitch, Leonard

    1988-01-01

    Structures are often characterized by parameters, such as mass and stiffness, that are spatially distributed. Parameter identification of distributed structures is subject to many of the difficulties involved in the modeling problem, and the choice of the model can greatly affect the results of the parameter identification process. Analogously to control spillover in the control of distributed-parameter systems, identification spillover is shown to exist as well and its effect is to degrade the parameter estimates. Moreover, as in modeling by the Rayleigh-Ritz method, it is shown that, for a Rayleigh-Ritz type identification algorithm, an inclusion principle exists in the identification of distributed-parameter systems as well, so that the identified natural frequencies approach the actual natural frequencies monotonically from above.

  11. Gambling problems among patients in primary care: a cross-sectional study of general practices.

    PubMed

    Cowlishaw, Sean; Gale, Lone; Gregory, Alison; McCambridge, Jim; Kessler, David

    2017-04-01

    Primary care is an important context for addressing health-related behaviours, and may provide a setting for identification of gambling problems. To indicate the extent of gambling problems among patients attending general practices, and explore settings or patient groups that experience heightened vulnerability. Cross-sectional study of patients attending 11 general practices in Bristol, South West England. Adult patients ( n = 1058) were recruited from waiting rooms of practices that were sampled on the basis of population characteristics. Patients completed anonymous questionnaires comprising measures of mental health problems (for example, depression) and addictive behaviours (for example, risky alcohol use). The Problem Gambling Severity Index (PGSI) measured gambling problems, along with a single-item measure of gambling problems among family members. Estimates of extent and variability according to practice and patient characteristics were produced. There were 0.9% of all patients exhibiting problem gambling (PGSI ≥5), and 4.3% reporting problems that were low to moderate in severity (PGSI 1-4). Around 7% of patients reported gambling problems among family members. Further analyses indicated that rates of any gambling problems (PGSI ≥1) were higher among males and young adults, and more tentatively, within a student healthcare setting. They were also elevated among patients exhibiting drug use, risky alcohol use, and depression. There is need for improved understanding of the burden of, and responses to, patients with gambling problems in general practices, and new strategies to increase identification to facilitate improved care and early intervention. © British Journal of General Practice 2017.

  12. Problem and Dilemma Identification and Formulation As the Most Critical Element of the Decision-Making Process: Behavioral Biases and Characteristics.

    ERIC Educational Resources Information Center

    Pashiardis, Petros

    This paper presents an overview of research in the field of decision theory, with a focus on problem and identification. The goal is to make the decision-making process as rational as possible in order to maximize the rational administration of the organization. The decisions associated with educational administration can be categorized as…

  13. What predicts persistent early conduct problems? Evidence from the Growing Up in Scotland cohort.

    PubMed

    Wilson, Philip; Bradshaw, Paul; Tipping, Sarah; Henderson, Marion; Der, Geoff; Minnis, Helen

    2013-01-01

    There is a strong case for early identification of factors predicting life-course-persistent conduct disorder. The authors aimed to identify factors associated with repeated parental reports of preschool conduct problems. Nested case-control study of Scottish children who had behavioural data reported by parents at 3, 4 and 5 years. 79 children had abnormal conduct scores at all three time points ('persistent conduct problems') and 434 at one or two points ('inconsistent conduct problems'). 1557 children never had abnormal scores. Compared with children with no conduct problems, children with reported problems were significantly more likely to have mothers who smoked during pregnancy. They were less likely to be living with both parents and more likely to be in poor general health, to have difficulty being understood, to have a parent who agrees that smacking is sometimes necessary and to be taken to visit other people with children rarely. The results for children with persistent and inconsistent conduct problems were similar, but associations with poverty and maternal smoking were significantly less strong in the inconsistent group. These factors may be valuable in early identification of risk of major social difficulties.

  14. [Role of medical information processing for quality assurance in obstetrics].

    PubMed

    Selbmann, H K

    1983-06-01

    The paradigma of problem-orientated assuring of the professional quality of medical case is a kind of "control loop system" consisting of the following 5 steps: routine observation, identification of the problem, analysis of the problem, translation of problem solutions into daily practice and control as to whether the problem has been solved or eliminated. Medical data processing, which involves documentation, electronic data processing and statistics, can make substantial contributions especially to the steps of observation, identification of the problem, and follow-up control. Perinatal data collection, which has already been introduced in 6 Länder of the Federal Republic of Germany, has supplied ample proof of this. These operations were conducted under the heading "internal clinical assuring of quality with external aid". Those clinics who participated in this programme, were given the necessary aid in self-observation (questionnaires, clinical statistics), and they were also given comparative informative data to help them in identifying the problems (clinical profiles, etc.). It is entirely left to the responsibility of the clinics themselves--voluntary cooperation and guarantee of remaining anonymous being a matter of course -- to draw their own consequences from the collected data and to translate these into clinical everyday practice.

  15. Using standardized patients versus video cases for representing clinical problems in problem-based learning.

    PubMed

    Yoon, Bo Young; Choi, Ikseon; Choi, Seokjin; Kim, Tae-Hee; Roh, Hyerin; Rhee, Byoung Doo; Lee, Jong-Tae

    2016-06-01

    The quality of problem representation is critical for developing students' problem-solving abilities in problem-based learning (PBL). This study investigates preclinical students' experience with standardized patients (SPs) as a problem representation method compared to using video cases in PBL. A cohort of 99 second-year preclinical students from Inje University College of Medicine (IUCM) responded to a Likert scale questionnaire on their learning experiences after they had experienced both video cases and SPs in PBL. The questionnaire consisted of 14 items with eight subcategories: problem identification, hypothesis generation, motivation, collaborative learning, reflective thinking, authenticity, patient-doctor communication, and attitude toward patients. The results reveal that using SPs led to the preclinical students having significantly positive experiences in boosting patient-doctor communication skills; the perceived authenticity of their clinical situations; development of proper attitudes toward patients; and motivation, reflective thinking, and collaborative learning when compared to using video cases. The SPs also provided more challenges than the video cases during problem identification and hypotheses generation. SPs are more effective than video cases in delivering higher levels of authenticity in clinical problems for PBL. The interaction with SPs engages preclinical students in deeper thinking and discussion; growth of communication skills; development of proper attitudes toward patients; and motivation. Considering the higher cost of SPs compared with video cases, SPs could be used most advantageously during the preclinical period in the IUCM curriculum.

  16. Correction of School Disadaptation of Teenagers by Art Therapy Methods

    ERIC Educational Resources Information Center

    Nigmatullina, Irina A.; Gerasimenko, Julia A.

    2016-01-01

    Relevance of research is caused by growth of number of pupils with school disadaptation that is expressed in problems of development of the school program, socialization problems, and the general trouble. In this regard, this article is directed to identification or disclosure of opportunities of assistance to teenagers with this problem, to take…

  17. Empowering Preschool Teachers to Identify Mental Health Problems: A Task-Sharing Intervention in Ethiopia

    ERIC Educational Resources Information Center

    Desta, Menelik; Deyessa, Negussie; Fish, Irving; Maxwell, Benjamin; Zerihun, Tigist; Levine, Saul; Fox, Claire; Giedd, Jay; Zelleke, Tesfaye G.; Alem, Atalay; Garland, Ann F.

    2017-01-01

    In Ethiopia there is a severe shortage of child mental health professionals. Identification and intervention for young children's mental health problems is crucial to improve developmental trajectories and reduce the severity of emotional and behavioral disorders. Teachers can play an important role in early problem detection. This role is…

  18. Nonshared Environmental Influences on Teacher-Reported Behaviour Problems: Monozygotic Twin Differences in Perceptions of the Classroom

    ERIC Educational Resources Information Center

    Oliver, Bonamy R.; Pike, Alison; Plomin, Robert

    2008-01-01

    Background: The identification of specific nonshared environments responsible for the variance in behaviour problems is a key challenge. Methods: Nonshared environmental influences on teacher-reported behaviour problems were explored independently of genetics using the monozygotic (MZ) twin differences design. Six aspects of classroom environment…

  19. Trial-Based Functional Analysis and Functional Communication Training in an Early Childhood Setting

    ERIC Educational Resources Information Center

    Lambert, Joseph M.; Bloom, Sarah E.; Irvin, Jennifer

    2012-01-01

    Problem behavior is common in early childhood special education classrooms. Functional communication training (FCT; Carr & Durand, 1985) may reduce problem behavior but requires identification of its function. The trial-based functional analysis (FA) is a method that can be used to identify problem behavior function in schools. We conducted…

  20. School Nurses' Perceived Prevalence and Competence to Address Student Mental Health Problems

    ERIC Educational Resources Information Center

    Stephan, Sharon H.; Connors, Elizabeth H.

    2013-01-01

    Due to under-identification of student mental health problems and limited specialty mental health providers in schools, school nurses are often faced with identifying and addressing student mental health needs. This exploratory study assessed prevalence and types of student mental health problems encountered by school nurses, as well as their…

  1. A guided interview process to improve student pharmacists' identification of drug therapy problems.

    PubMed

    Rovers, John; Miller, Michael J; Koenigsfeld, Carrie; Haack, Sally; Hegge, Karly; McCleeary, Erin

    2011-02-10

    To measure agreement between advanced pharmacy practice experience students using a guided interview process and experienced clinical pharmacists using standard practices to identify drug therapy problems. Student pharmacists enrolled in an advanced pharmacy practice experience (APPE) and clinical pharmacists conducted medication therapy management interviews to identify drug therapy problems in elderly patients recruited from the community. Student pharmacists used a guided interview tool, while clinical pharmacists' interviews were conducted using their usual and customary practices. Student pharmacists also were surveyed to determine their perceptions of the interview tool. Fair to moderate agreement was observed on student and clinical pharmacists' identification of 4 of 7 drug therapy problems. Of those, agreement was significantly higher than chance for 3 drug therapy problems (adverse drug reaction, dosage too high, and needs additional drug therapy) and not significant for 1 (unnecessary drug therapy). Students strongly agreed that the interview tool was useful but agreed less strongly on recommending its use in practice. The guided interview process served as a useful teaching aid to assist student pharmacists to identify drug therapy problems.

  2. A Guided Interview Process to Improve Student Pharmacists' Identification of Drug Therapy Problems

    PubMed Central

    Miller, Michael J.; Koenigsfeld, Carrie; Haack, Sally; Hegge, Karly; McCleeary, Erin

    2011-01-01

    Objective To measure agreement between advanced pharmacy practice experience students using a guided interview process and experienced clinical pharmacists using standard practices to identify drug therapy problems. Methods Student pharmacists enrolled in an advanced pharmacy practice experience (APPE) and clinical pharmacists conducted medication therapy management interviews to identify drug therapy problems in elderly patients recruited from the community. Student pharmacists used a guided interview tool, while clinical pharmacists' interviews were conducted using their usual and customary practices. Student pharmacists also were surveyed to determine their perceptions of the interview tool. Results Fair to moderate agreement was observed on student and clinical pharmacists' identification of 4 of 7 drug therapy problems. Of those, agreement was significantly higher than chance for 3 drug therapy problems (adverse drug reaction, dosage too high, and needs additional drug therapy) and not significant for 1 (unnecessary drug therapy). Students strongly agreed that the interview tool was useful but agreed less strongly on recommending its use in practice. Conclusions The guided interview process served as a useful teaching aid to assist student pharmacists to identify drug therapy problems. PMID:21451770

  3. Efficacy of the alcohol use disorders identification test as a screening tool for hazardous alcohol intake and related disorders in primary care: a validity study.

    PubMed Central

    Piccinelli, M.; Tessari, E.; Bortolomasi, M.; Piasere, O.; Semenzin, M.; Garzotto, N.; Tansella, M.

    1997-01-01

    OBJECTIVE: To determine the properties of the alcohol use disorders identification test in screening primary care attenders for alcohol problems. DESIGN: A validity study among consecutive primary care attenders aged 18-65 years. Every third subject completed the alcohol use disorders identification test (a 10 item self report questionnaire on alcohol intake and related problems) and was interviewed by an investigator with the composite international diagnostic interview alcohol use module (a standardised interview for the independent assessment of alcohol intake and related disorders). SETTING: 10 primary care clinics in Verona, north eastern Italy. PATIENTS: 500 subjects were approached and 482 (96.4%) completed evaluation. RESULTS: When the alcohol use disorders identification test was used to detect subjects with alcohol problems the area under the receiver operating characteristic curve was 0.95. The cut off score of 5 was associated with a sensitivity of 0.84, a specificity of 0.90, and a positive predictive value of 0.60. The screening ability of the total score derived from summing the responses to the five items minimising the probability of misclassification between subjects with and without alcohol problems provided an area under the receiver operating characteristic curve of 0.93. A score of 5 or more on the five items was associated with a sensitivity of 0.79, a specificity of 0.95, and a positive predictive value of 0.73. CONCLUSIONS: The alcohol use disorders identification test performs well in detecting subjects with formal alcohol disorders and those with hazardous alcohol intake. Using five of the 10 items on the questionnaire gives reasonable accuracy, and these are recommended as questions of choice to screen patients for alcohol problems. PMID:9040389

  4. On a problem of reconstruction of a discontinuous function by its Radon transform

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

    Derevtsov, Evgeny Yu.; Maltseva, Svetlana V.; Svetov, Ivan E.

    A problem of reconstruction of a discontinuous function by its Radon transform is considered. One of the approaches to the numerical solution for the problem consists in the next sequential steps: a visualization of a set of breaking points; an identification of this set; a determination of jump values; an elimination of discontinuities. We consider three of listed problems except the problem of jump values. The problems are investigated by mathematical modeling using numerical experiments. The results of simulation are satisfactory and allow to hope for the further development of the approach.

  5. The Accuracy of Parameter Estimation in System Identification of Noisy Aircraft Load Measurement. Ph.D. Thesis

    NASA Technical Reports Server (NTRS)

    Kong, Jeffrey

    1994-01-01

    This thesis focuses on the subject of the accuracy of parameter estimation and system identification techniques. Motivated by a complicated load measurement from NASA Dryden Flight Research Center, advanced system identification techniques are needed. The objective of this problem is to accurately predict the load experienced by the aircraft wing structure during flight determined from a set of calibrated load and gage response relationship. We can then model the problem as a black box input-output system identification from which the system parameter has to be estimated. Traditional LS (Least Square) techniques and the issues of noisy data and model accuracy are addressed. A statistical bound reflecting the change in residual is derived in order to understand the effects of the perturbations on the data. Due to the intrinsic nature of the LS problem, LS solution faces the dilemma of the trade off between model accuracy and noise sensitivity. A method of conflicting performance indices is presented, thus allowing us to improve the noise sensitivity while at the same time configuring the degredation of the model accuracy. SVD techniques for data reduction are studied and the equivalence of the Correspondence Analysis (CA) and Total Least Squares Criteria are proved. We also looked at nonlinear LS problems with NASA F-111 data set as an example. Conventional methods are neither easily applicable nor suitable for the specific load problem since the exact model of the system is unknown. Neural Network (NN) does not require prior information on the model of the system. This robustness motivated us to apply the NN techniques on our load problem. Simulation results for the NN methods used in both the single load and the 'warning signal' problems are both useful and encouraging. The performance of the NN (for single load estimate) is better than the LS approach, whereas no conventional approach was tried for the 'warning signals' problems. The NN design methodology is also presented. The use of SVD, CA and Collinearity Index methods are used to reduce the number of neurons in a layer.

  6. Distributed parameter system coupled ARMA expansion identification and adaptive parallel IIR filtering - A unified problem statement. [Auto Regressive Moving-Average

    NASA Technical Reports Server (NTRS)

    Johnson, C. R., Jr.; Balas, M. J.

    1980-01-01

    A novel interconnection of distributed parameter system (DPS) identification and adaptive filtering is presented, which culminates in a common statement of coupled autoregressive, moving-average expansion or parallel infinite impulse response configuration adaptive parameterization. The common restricted complexity filter objectives are seen as similar to the reduced-order requirements of the DPS expansion description. The interconnection presents the possibility of an exchange of problem formulations and solution approaches not yet easily addressed in the common finite dimensional lumped-parameter system context. It is concluded that the shared problems raised are nevertheless many and difficult.

  7. Agriculture and forestry: Identification, vigor, and disease

    NASA Technical Reports Server (NTRS)

    Jenkins, D. W.

    1972-01-01

    The agricultural and forestry areas which comprise the watershed of the Chesapeake Bay are described. Major problems of watershed creation and management with emphasis on the erosion problem are discussed. Remote sensing as it relates to the identification of plant species and vigor, pollution, disease, and insect infestation are examined. The application of infrared photography, multispectral sensing, and sequential survey is recommended to identify ecological changes and improve resources management.

  8. Identification of dynamic characteristics of flexible rotors as dynamic inverse problem

    NASA Technical Reports Server (NTRS)

    Roisman, W. P.; Vajingortin, L. D.

    1991-01-01

    The problem of dynamic and balancing of flexible rotors were considered, which were set and solved as the problem of the identification of flexible rotor systems, which is the same as the inverse problem of the oscillation theory dealing with the task of the identifying the outside influences and system parameters on the basis of the known laws of motion. This approach to the problem allows the disclosure the picture of disbalances throughout the rotor-under-test (which traditional methods of flexible rotor balancing, based on natural oscillations, could not provide), and identify dynamic characteristics of the system, which correspond to a selected mathematical model. Eventually, various methods of balancing were developed depending on the special features of the machines as to their design, technology, and operation specifications. Also, theoretical and practical methods are given for the flexible rotor balancing at far from critical rotation frequencies, which does not necessarily require the knowledge forms of oscillation, dissipation, and elasticity and inertia characteristics, and to use testing masses.

  9. Identification of Gambling Problems in Primary Care: Properties of the NODS-CLiP Screening Tool.

    PubMed

    Cowlishaw, Sean; McCambridge, Jim; Kessler, David

    2018-06-25

    There are several brief screening tools for gambling that possess promising psychometric properties, but have uncertain utility in generalist healthcare environments which prioritize prevention and brief interventions. This study describes an examination of the National Opinion Research Centre Diagnostic and Statistical Manual of Mental Disorders Screen for Gambling Problems (NODS-CLiP), in comparison with the Problem Gambling Severity Index (PGSI), when used to operationalize gambling problems across a spectrum of severity. Data were obtained from 1058 primary care attendees recruited from 11 practices in England who completed various measures including the NODS-CLiP and PGSI. The performance of the former was defined by estimates of sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs), when PGSI indicators of problem gambling (5+) and any gambling problems (1+), respectively, were reference standards. The NODS-CLiP demonstrated perfect sensitivity for problem gambling, along with high specificity and a NPV, but a low PPV. There was much lower sensitivity when the indicator of any gambling problems was the reference standard, with capture rates indicating only 20% of patients exhibiting low to moderate severity gambling problems (PGSI 1-4) were identified by the NODS-CLiP. The NODS-CLiP performs well when identifying severe cases of problem gambling, but lacks sensitivity for less severe problems and may be unsuitable for settings which prioritize prevention and brief interventions. There is a need for screening measures which are sensitive across the full spectrum of risk and severity, and can support initiatives for improving identification and responses to gambling problems in healthcare settings such as primary care.

  10. A Case Study of Team-Initiated Problem Solving Addressing Student Behavior in One Elementary School

    ERIC Educational Resources Information Center

    Todd, Anne W.; Horner, Robert H.; Berry, Dorothy; Sanders, Carol; Bugni, Michelle; Currier, Allison; Potts, Nicky; Newton, J. Stephen; Algozzine, Bob; Algozzine, Kate

    2012-01-01

    Team-Initiated Problem Solving (TIPS) is an approach for organizing school team meetings to improve identification of targeted problems, use of data in the development of solutions, and development of implemented action plans. TIPS has been demonstrated in single-case and randomized controlled trial studies to improve the effectiveness of teams to…

  11. Supporting Valid Decision Making: Uses and Misuses of Assessment Data within the Context of RtI

    ERIC Educational Resources Information Center

    Ball, Carrie R.; Christ, Theodore J.

    2012-01-01

    Within an RtI problem-solving context, assessment and decision making generally center around the tasks of problem identification, problem analysis, progress monitoring, and program evaluation. We use this framework to discuss the current state of the literature regarding curriculum based measurement, its technical properties, and its utility for…

  12. AGARD Flight Test Techniques Series. Volume 2. Identification of Dynamic Systems

    DTIC Science & Technology

    1985-01-01

    should not depend upon it to solve the problem autonomously. The analyst’s strong point is in formulating the problem; the computer’s strength is in...of derivation for the output-error method is to reduce the problem to the static form of Chapter 5. We will see that the dinamic system make- the

  13. Screening and Brief Intervention for Alcohol Problems among College Students Treated in a University Hospital Emergency Department

    ERIC Educational Resources Information Center

    Helmkamp, James C.; Hungerford, Daniel W.; Williams, Janet M.; Manley, William G.; Furbee, Paul M.; Horn, Kimberly A.; Pollock, Daniel A.

    2003-01-01

    The authors evaluated a protocol to screen and provide brief interventions for alcohol problems to college students treated at a university hospital emergency department (ED). Of 2,372 drinkers they approached, 87% gave informed consent. Of those, 54% screened positive for alcohol problems (Alcohol Use Disorders Identification Test score [less…

  14. Intervention Strategies with Adolescents: The Newton Model.

    ERIC Educational Resources Information Center

    Green, Matt

    The problem of adolescent drug/alcohol abuse seems to have once again intensified during the 1980s. When the school is the only constant in an adolescent's life and when those same teenagers bring drugs and alcohol-related problems to school, the school has an obligation to implement change. The first step is identification of the problem. Beyond…

  15. Identification and Management of Information Problems by Emergency Department Staff

    PubMed Central

    Murphy, Alison R.; Reddy, Madhu C.

    2014-01-01

    Patient-care teams frequently encounter information problems during their daily activities. These information problems include wrong, outdated, conflicting, incomplete, or missing information. Information problems can negatively impact the patient-care workflow, lead to misunderstandings about patient information, and potentially lead to medical errors. Existing research focuses on understanding the cause of these information problems and the impact that they can have on the hospital’s workflow. However, there is limited research on how patient-care teams currently identify and manage information problems that they encounter during their work. Through qualitative observations and interviews in an emergency department (ED), we identified the types of information problems encountered by ED staff, and examined how they identified and managed the information problems. We also discuss the impact that these information problems can have on the patient-care teams, including the cascading effects of information problems on workflow and the ambiguous accountability for fixing information problems within collaborative teams. PMID:25954457

  16. Parametric system identification of resonant micro/nanosystems operating in a nonlinear response regime

    NASA Astrophysics Data System (ADS)

    Sabater, A. B.; Rhoads, J. F.

    2017-02-01

    The parametric system identification of macroscale resonators operating in a nonlinear response regime can be a challenging research problem, but at the micro- and nanoscales, experimental constraints add additional complexities. For example, due to the small and noisy signals micro/nanoresonators produce, a lock-in amplifier is commonly used to characterize the amplitude and phase responses of the systems. While the lock-in enables detection, it also prohibits the use of established time-domain, multi-harmonic, and frequency-domain methods, which rely upon time-domain measurements. As such, the only methods that can be used for parametric system identification are those based on fitting experimental data to an approximate solution, typically derived via perturbation methods and/or Galerkin methods, of a reduced-order model. Thus, one could view the parametric system identification of micro/nanosystems operating in a nonlinear response regime as the amalgamation of four coupled sub-problems: nonparametric system identification, or proper experimental design and data acquisition; the generation of physically consistent reduced-order models; the calculation of accurate approximate responses; and the application of nonlinear least-squares parameter estimation. This work is focused on the theoretical foundations that underpin each of these sub-problems, as the methods used to address one sub-problem can strongly influence the results of another. To provide context, an electromagnetically transduced microresonator is used as an example. This example provides a concrete reference for the presented findings and conclusions.

  17. Internet-Based Recording Service Solves Maintenance Reporting Problems.

    ERIC Educational Resources Information Center

    Noah, Marilyn

    2001-01-01

    Details the response to a health threat caused by illegal wastewater disposal in Wisconsin. Traces the identification of the problem, ordinances and policies adopted to guide the remedy, and subsequent monitoring of environmental quality. (DDR)

  18. Does change in self-perceived problem drinker identity relate to change in alcohol use? An examination of nontreatment seeking hazardous drinkers.

    PubMed

    Montes, Kevin S; Dearing, Ronda L; Claus, Eric D; Witkiewitz, Katie

    2017-09-01

    Identity change is related to reductions in alcohol use among treatment seekers, but it is unclear the extent to which identity change is associated with reductions in alcohol use among nontreatment seeking hazardous drinkers. The goal of the current study was to examine whether change in problem drinker identity (i.e., self-reported identification as a problem or nonproblem drinker) was associated with reductions in heavy drinking among nontreatment seeking hazardous drinkers. Participants (n = 149) completed measures to assess alcohol use and were asked if they identified as a problem drinker at baseline and at 6-, 12-, 18-, and 24-month follow-ups. Two groups were compared: (a) those who identified as a problem drinker at baseline but identified as a nonproblem drinker at 12 months and (b) those who did not make the same transition. Latent mixture modeling was conducted to examine whether change in problem drinker identity was predictive of heavy drinking latent class growth trajectories. The results indicated that a self-reported transition from identification as a problem drinker to identification as a nonproblem drinker was associated with greater reductions in heavy drinking over the assessment period and a 7 times greater likelihood of being in a rapidly decreasing heavy drinking latent trajectory class compared with participants who did not make the same transition. Self-reported transitions in identity appear to be a good predictor of heavy drinking trajectories among nontreatment seekers. A better understanding of what predicts transitions in drinking identity among non-treatment and treatment seekers is needed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  19. Usefulness of a single item in a mail survey to identify persons with possible dementia: a new strategy for finding high-risk elders.

    PubMed

    Brody, Kathleen K; Maslow, Katie; Perrin, Nancy A; Crooks, Valerie; DellaPenna, Richard; Kuang, Daniel

    2005-04-01

    The objective of this study was to examine the characteristics of elderly persons who responded positively to a question about "severe memory problems" on a mailed health questionnaire yet were missed by the existing health risk algorithm to identify vulnerable elderly persons. A total of 324,471 respondents aged 65 and older completed a primary care health status questionnaire that gathered clinical information to quickly identify members with functional impairment, multiple chronic diseases, and higher medical care needs. The respondents were part of a large, integrated, not-for-profit managed care organization that implemented a model of care for elders using a uniform risk identification method across eight regions. Respondents with severe memory problems were compared to general respondents by morbidity, geriatric syndromes, functional impairments, service utilization, sensory impairments, sociodemographic characteristics, and activities of daily living. Of the respondents, 13,902 persons (4.3%) reported severe memory problems; the existing health risk algorithm missed 47.1% of these. When severe memory problems were included in the risk algorithm, identification increased from 11% to 13%, and risk prevalence by age groups ranged from 4.4% to 40.5%; one third had severe memory problems, a finding that was fairly consistent within age groups (28.4% to 36.5%). A question about severe memory problems should be incorporated into population risk-identification techniques. While false-negative rates are unknown, the false-positive rate of a self-report mail survey appears to be minimal. Persons reporting severe memory problems clearly have multiple comorbidities, higher prevalence of geriatric syndromes, and greater functional and sensory impairments.

  20. Using standardized patients versus video cases for representing clinical problems in problem-based learning

    PubMed Central

    2016-01-01

    Purpose: The quality of problem representation is critical for developing students’ problem-solving abilities in problem-based learning (PBL). This study investigates preclinical students’ experience with standardized patients (SPs) as a problem representation method compared to using video cases in PBL. Methods: A cohort of 99 second-year preclinical students from Inje University College of Medicine (IUCM) responded to a Likert scale questionnaire on their learning experiences after they had experienced both video cases and SPs in PBL. The questionnaire consisted of 14 items with eight subcategories: problem identification, hypothesis generation, motivation, collaborative learning, reflective thinking, authenticity, patient-doctor communication, and attitude toward patients. Results: The results reveal that using SPs led to the preclinical students having significantly positive experiences in boosting patient-doctor communication skills; the perceived authenticity of their clinical situations; development of proper attitudes toward patients; and motivation, reflective thinking, and collaborative learning when compared to using video cases. The SPs also provided more challenges than the video cases during problem identification and hypotheses generation. Conclusion: SPs are more effective than video cases in delivering higher levels of authenticity in clinical problems for PBL. The interaction with SPs engages preclinical students in deeper thinking and discussion; growth of communication skills; development of proper attitudes toward patients; and motivation. Considering the higher cost of SPs compared with video cases, SPs could be used most advantageously during the preclinical period in the IUCM curriculum. PMID:26923094

  1. Basics of identification measurement technology

    NASA Astrophysics Data System (ADS)

    Klikushin, Yu N.; Kobenko, V. Yu; Stepanov, P. P.

    2018-01-01

    All available algorithms and suitable for pattern recognition do not give 100% guarantee, therefore there is a field of scientific night activity in this direction, studies are relevant. It is proposed to develop existing technologies for pattern recognition in the form of application of identification measurements. The purpose of the study is to identify the possibility of recognizing images using identification measurement technologies. In solving problems of pattern recognition, neural networks and hidden Markov models are mainly used. A fundamentally new approach to the solution of problems of pattern recognition based on the technology of identification signal measurements (IIS) is proposed. The essence of IIS technology is the quantitative evaluation of the shape of images using special tools and algorithms.

  2. Direct Maximization of Protein Identifications from Tandem Mass Spectra*

    PubMed Central

    Spivak, Marina; Weston, Jason; Tomazela, Daniela; MacCoss, Michael J.; Noble, William Stafford

    2012-01-01

    The goal of many shotgun proteomics experiments is to determine the protein complement of a complex biological mixture. For many mixtures, most methodological approaches fall significantly short of this goal. Existing solutions to this problem typically subdivide the task into two stages: first identifying a collection of peptides with a low false discovery rate and then inferring from the peptides a corresponding set of proteins. In contrast, we formulate the protein identification problem as a single optimization problem, which we solve using machine learning methods. This approach is motivated by the observation that the peptide and protein level tasks are cooperative, and the solution to each can be improved by using information about the solution to the other. The resulting algorithm directly controls the relevant error rate, can incorporate a wide variety of evidence and, for complex samples, provides 18–34% more protein identifications than the current state of the art approaches. PMID:22052992

  3. Full-Field Strain Measurement On Titanium Welds And Local Elasto-Plastic Identification With The Virtual Fields Method

    NASA Astrophysics Data System (ADS)

    Tattoli, F.; Pierron, F.; Rotinat, R.; Casavola, C.; Pappalettere, C.

    2011-01-01

    One of the main problems in welding is the microstructural transformation within the area affected by the thermal history. The resulting heterogeneous microstructure within the weld nugget and the heat affected zones is often associated with changes in local material properties. The present work deals with the identification of material parameters governing the elasto—plastic behaviour of the fused and heat affected zones as well as the base material for titanium hybrid welded joints (Ti6Al4V alloy). The material parameters are identified from heterogeneous strain fields with the Virtual Fields Method. This method is based on a relevant use of the principle of virtual work and it has been shown to be useful and much less time consuming than classical finite element model updating approaches applied to similar problems. The paper will present results and discuss the problem of selection of the weld zones for the identification.

  4. An approximation theory for the identification of linear thermoelastic systems

    NASA Technical Reports Server (NTRS)

    Rosen, I. G.; Su, Chien-Hua Frank

    1990-01-01

    An abstract approximation framework and convergence theory for the identification of thermoelastic systems is developed. Starting from an abstract operator formulation consisting of a coupled second order hyperbolic equation of elasticity and first order parabolic equation for heat conduction, well-posedness is established using linear semigroup theory in Hilbert space, and a class of parameter estimation problems is then defined involving mild solutions. The approximation framework is based upon generic Galerkin approximation of the mild solutions, and convergence of solutions of the resulting sequence of approximating finite dimensional parameter identification problems to a solution of the original infinite dimensional inverse problem is established using approximation results for operator semigroups. An example involving the basic equations of one dimensional linear thermoelasticity and a linear spline based scheme are discussed. Numerical results indicate how the approach might be used in a study of damping mechanisms in flexible structures.

  5. Gain-Scheduled Fault Tolerance Control Under False Identification

    NASA Technical Reports Server (NTRS)

    Shin, Jong-Yeob; Belcastro, Christine (Technical Monitor)

    2006-01-01

    An active fault tolerant control (FTC) law is generally sensitive to false identification since the control gain is reconfigured for fault occurrence. In the conventional FTC law design procedure, dynamic variations due to false identification are not considered. In this paper, an FTC synthesis method is developed in order to consider possible variations of closed-loop dynamics under false identification into the control design procedure. An active FTC synthesis problem is formulated into an LMI optimization problem to minimize the upper bound of the induced-L2 norm which can represent the worst-case performance degradation due to false identification. The developed synthesis method is applied for control of the longitudinal motions of FASER (Free-flying Airplane for Subscale Experimental Research). The designed FTC law of the airplane is simulated for pitch angle command tracking under a false identification case.

  6. Multi-level damage identification with response reconstruction

    NASA Astrophysics Data System (ADS)

    Zhang, Chao-Dong; Xu, You-Lin

    2017-10-01

    Damage identification through finite element (FE) model updating usually forms an inverse problem. Solving the inverse identification problem for complex civil structures is very challenging since the dimension of potential damage parameters in a complex civil structure is often very large. Aside from enormous computation efforts needed in iterative updating, the ill-condition and non-global identifiability features of the inverse problem probably hinder the realization of model updating based damage identification for large civil structures. Following a divide-and-conquer strategy, a multi-level damage identification method is proposed in this paper. The entire structure is decomposed into several manageable substructures and each substructure is further condensed as a macro element using the component mode synthesis (CMS) technique. The damage identification is performed at two levels: the first is at macro element level to locate the potentially damaged region and the second is over the suspicious substructures to further locate as well as quantify the damage severity. In each level's identification, the damage searching space over which model updating is performed is notably narrowed down, not only reducing the computation amount but also increasing the damage identifiability. Besides, the Kalman filter-based response reconstruction is performed at the second level to reconstruct the response of the suspicious substructure for exact damage quantification. Numerical studies and laboratory tests are both conducted on a simply supported overhanging steel beam for conceptual verification. The results demonstrate that the proposed multi-level damage identification via response reconstruction does improve the identification accuracy of damage localization and quantization considerably.

  7. Parameter identification in ODE models with oscillatory dynamics: a Fourier regularization approach

    NASA Astrophysics Data System (ADS)

    Chiara D'Autilia, Maria; Sgura, Ivonne; Bozzini, Benedetto

    2017-12-01

    In this paper we consider a parameter identification problem (PIP) for data oscillating in time, that can be described in terms of the dynamics of some ordinary differential equation (ODE) model, resulting in an optimization problem constrained by the ODEs. In problems with this type of data structure, simple application of the direct method of control theory (discretize-then-optimize) yields a least-squares cost function exhibiting multiple ‘low’ minima. Since in this situation any optimization algorithm is liable to fail in the approximation of a good solution, here we propose a Fourier regularization approach that is able to identify an iso-frequency manifold {{ S}} of codimension-one in the parameter space \

  8. On convergence and convergence rates for Ivanov and Morozov regularization and application to some parameter identification problems in elliptic PDEs

    NASA Astrophysics Data System (ADS)

    Kaltenbacher, Barbara; Klassen, Andrej

    2018-05-01

    In this paper we provide a convergence analysis of some variational methods alternative to the classical Tikhonov regularization, namely Ivanov regularization (also called the method of quasi solutions) with some versions of the discrepancy principle for choosing the regularization parameter, and Morozov regularization (also called the method of the residuals). After motivating nonequivalence with Tikhonov regularization by means of an example, we prove well-definedness of the Ivanov and the Morozov method, convergence in the sense of regularization, as well as convergence rates under variational source conditions. Finally, we apply these results to some linear and nonlinear parameter identification problems in elliptic boundary value problems.

  9. Identification of Error Types in Preservice Teachers' Attempts to Create Fraction Story Problems for Specified Operations

    ERIC Educational Resources Information Center

    McAllister, Cheryl J.; Beaver, Cheryl

    2012-01-01

    The purpose of this research was to determine if recognizable error types exist in the work of preservice teachers required to create story problems for specific fraction operations. Students were given a particular single-operation fraction expression and asked to do the calculation and then create a story problem that would require the use of…

  10. Progress Report on the Development of Child Abuse Prevention, Identification, and Treatment Systems in Eastern Europe

    ERIC Educational Resources Information Center

    Lewis, Owen; Sargent, John; Chaffin, Mark; Friedrich, William N.; Cunningham, Nicholas; Cantor, Pamela; Coffey, Pamela Sumner; Villani, Susan; Beard, Philip R.; Clifft, Mary Ann; Greenspun, David

    2004-01-01

    Problem: After the Soviet Union dissolved in 1989, it became apparent that there was little recognition of the problems of child abuse and neglect, professionally, legally, or societally. There were no effective systems or laws in place to deal with these problems. Method: Beginning in 1995 the Children's Mental Health Alliance, in conjunction…

  11. Other Challenges in the Development of the Orbiter Environmental Control Hardware

    NASA Technical Reports Server (NTRS)

    Gibb, J. W.; Mcintosh, M. E.; Heinrich, S. R.; Thomas, E.; Steele, M.; Schubert, F.; Koszenski, E. P.; Wynveen, R. A.; Murray, R. W.; Schelkopf, J. D.

    1985-01-01

    Development of the Space Shuttle orbiter environmental control and life support system (ECLSS) included the identification and resolution of several interesting problems in several systems. Some of these problems occurred late in the program, including the flight phase. Problems and solutions related to the ammonia boiler system (ABS), smoke detector, water/hydrogen separator, and waste collector system (WCS) are addressed.

  12. Review: Optimization methods for groundwater modeling and management

    NASA Astrophysics Data System (ADS)

    Yeh, William W.-G.

    2015-09-01

    Optimization methods have been used in groundwater modeling as well as for the planning and management of groundwater systems. This paper reviews and evaluates the various optimization methods that have been used for solving the inverse problem of parameter identification (estimation), experimental design, and groundwater planning and management. Various model selection criteria are discussed, as well as criteria used for model discrimination. The inverse problem of parameter identification concerns the optimal determination of model parameters using water-level observations. In general, the optimal experimental design seeks to find sampling strategies for the purpose of estimating the unknown model parameters. A typical objective of optimal conjunctive-use planning of surface water and groundwater is to minimize the operational costs of meeting water demand. The optimization methods include mathematical programming techniques such as linear programming, quadratic programming, dynamic programming, stochastic programming, nonlinear programming, and the global search algorithms such as genetic algorithms, simulated annealing, and tabu search. Emphasis is placed on groundwater flow problems as opposed to contaminant transport problems. A typical two-dimensional groundwater flow problem is used to explain the basic formulations and algorithms that have been used to solve the formulated optimization problems.

  13. Decision-Making and Problem-Solving Approaches in Pharmacy Education

    PubMed Central

    Martin, Lindsay C.; Holdford, David A.

    2016-01-01

    Domain 3 of the Center for the Advancement of Pharmacy Education (CAPE) 2013 Educational Outcomes recommends that pharmacy school curricula prepare students to be better problem solvers, but are silent on the type of problems they should be prepared to solve. We identified five basic approaches to problem solving in the curriculum at a pharmacy school: clinical, ethical, managerial, economic, and legal. These approaches were compared to determine a generic process that could be applied to all pharmacy decisions. Although there were similarities in the approaches, generic problem solving processes may not work for all problems. Successful problem solving requires identification of the problems faced and application of the right approach to the situation. We also advocate that the CAPE Outcomes make explicit the importance of different approaches to problem solving. Future pharmacists will need multiple approaches to problem solving to adapt to the complexity of health care. PMID:27170823

  14. Decision-Making and Problem-Solving Approaches in Pharmacy Education.

    PubMed

    Martin, Lindsay C; Donohoe, Krista L; Holdford, David A

    2016-04-25

    Domain 3 of the Center for the Advancement of Pharmacy Education (CAPE) 2013 Educational Outcomes recommends that pharmacy school curricula prepare students to be better problem solvers, but are silent on the type of problems they should be prepared to solve. We identified five basic approaches to problem solving in the curriculum at a pharmacy school: clinical, ethical, managerial, economic, and legal. These approaches were compared to determine a generic process that could be applied to all pharmacy decisions. Although there were similarities in the approaches, generic problem solving processes may not work for all problems. Successful problem solving requires identification of the problems faced and application of the right approach to the situation. We also advocate that the CAPE Outcomes make explicit the importance of different approaches to problem solving. Future pharmacists will need multiple approaches to problem solving to adapt to the complexity of health care.

  15. Development of inquiry behavior in concept identification.

    PubMed

    Vassilopoulos, C A; Dickerson, D J

    1992-08-01

    We studied inquiry behavior in concept identification in first-, fifth-, eighth-grade, and college students with problems involving eight four-letter strings. The task was to identify the correct string by asking questions related to either one letter or four letters that were answered by yes or no. Processing demands were manipulated by comparing (a) a condition in which letter strings were removed from view as feedback eliminated them as possible solutions with a condition in which strings remained in view and (b) problems that were structured so that relevant letter categories were easy to identify with problems that were not. Problem solving generally improved with age. First graders tended to ask questions that eliminated solutions one by one, whereas the older groups asked more informative questions. At the three upper grade levels, strategies for selecting queries were adapted to situations, with less demanding strategies being used when processing demands were higher.

  16. Identification of the heat transfer coefficient in the two-dimensional model of binary alloy solidification

    NASA Astrophysics Data System (ADS)

    Hetmaniok, Edyta; Hristov, Jordan; Słota, Damian; Zielonka, Adam

    2017-05-01

    The paper presents the procedure for solving the inverse problem for the binary alloy solidification in a two-dimensional space. This is a continuation of some previous works of the authors investigating a similar problem but in the one-dimensional domain. Goal of the problem consists in identification of the heat transfer coefficient on boundary of the region and in reconstruction of the temperature distribution inside the considered region in case when the temperature measurements in selected points of the alloy are known. Mathematical model of the problem is based on the heat conduction equation with the substitute thermal capacity and with the liquidus and solidus temperatures varying in dependance on the concentration of the alloy component. For describing this concentration the Scheil model is used. Investigated procedure involves also the parallelized Ant Colony Optimization algorithm applied for minimizing a functional expressing the error of approximate solution.

  17. The added value of a family-centered approach to optimize infants’ social-emotional development: A quasi-experimental study

    PubMed Central

    Hielkema, Margriet; Stewart, Roy E.; de Winter, Andrea F.

    2017-01-01

    Objective Family-centered care (FCC) has been related to positive healthcare outcomes in pediatric care. Our aim was to assess whether an FCC approach also leads to better and earlier identification of social-emotional problems and less child psychosocial problems at age 18 months. Methods In a quasi-experimental study within routine well-child care in the Netherlands, we compared those regions in which an FCC approach was implemented (FCC-JointStart) to those regions with “care-as-usual” (CAU), including all children. In all regions, professionals performed well-child visits (2–18 months) and assessed social-emotional problems, or risks developing these, by rating outcomes of assessments as “not optimal” or as “a problem.” We compared FCC-JointStart and CAU regarding the rates of newly identified (risks for) social-emotional problems, the pace of identification over time, and the child’s psychosocial wellbeing at eighteen months as measured by the Child Behavior Checklist (CBCL). For participants that received extra care, we compared FCC-JointStart and CAU regarding the severity of parent-reported problems. Parents were blinded, professionals were not. Results 5658 parents (68%) agreed to participate in the study. In the FCC-JointStart group, risks were identified more frequently, though differences were small (24.7% versus 22.0%, odds ratio (95%-confidence interval) adjusted for confounders: 1.44 (0.96; 2.18), Phi = .03). Risks were also identified earlier (p = .008), and additional care was provided to more severe cases than in CAU. Effect sizes r ranged from 0.17 (PSBC) to 0.22 (FAD). CBCL scores at 18 months did not differ between groups. Conclusions FFC-JointStart may contribute to more and earlier identification of risks for social-emotional problems and of families that need additional care, but not to fewer child psychosocial problems at age 18 months. Trial registration Netherlands Trial Register NTR2681 PMID:29267270

  18. Identification of the Thermal Conductivity Coefficient for Quasi-Stationary Two-Dimensional Heat Conduction Equations

    NASA Astrophysics Data System (ADS)

    Matsevityi, Yu. M.; Alekhina, S. V.; Borukhov, V. T.; Zayats, G. M.; Kostikov, A. O.

    2017-11-01

    The problem of identifying the time-dependent thermal conductivity coefficient in the initial-boundary-value problem for the quasi-stationary two-dimensional heat conduction equation in a bounded cylinder is considered. It is assumed that the temperature field in the cylinder is independent of the angular coordinate. To solve the given problem, which is related to a class of inverse problems, a mathematical approach based on the method of conjugate gradients in a functional form is being developed.

  19. Influences to ADHD Problem Recognition: Mixed-Method Investigation and Recommendations to Reduce Disparities for Latino Youth.

    PubMed

    Haack, Lauren M; Meza, Jocelyn; Jiang, Yuanyuan; Araujo, Eva Jimenez; Pfiffner, Linda

    2018-05-16

    ADHD problem recognition serves as the first step of help seeking for ethnic minority families, such as Latinos, who underutilize ADHD services. The current mixed-method study explores underlying factors influencing recognition of ADHD problems in a sample of 159 school-aged youth. Parent-teacher informant discrepancy results suggest that parent ethnicity, problem domain, and child age influence ADHD problem recognition. Emerging themes from semi-structured qualitative interviews/focus groups conducted with eighteen Spanish-speaking Latino parents receiving school-based services for attention and behavior concerns support a range of recognized ADHD problems, beliefs about causes, and reactions to ADHD identification. Findings provide recommendations for reducing disparities in ADHD problem recognition and subsequent help seeking.

  20. Restart Operator Meta-heuristics for a Problem-Oriented Evolutionary Strategies Algorithm in Inverse Mathematical MISO Modelling Problem Solving

    NASA Astrophysics Data System (ADS)

    Ryzhikov, I. S.; Semenkin, E. S.

    2017-02-01

    This study is focused on solving an inverse mathematical modelling problem for dynamical systems based on observation data and control inputs. The mathematical model is being searched in the form of a linear differential equation, which determines the system with multiple inputs and a single output, and a vector of the initial point coordinates. The described problem is complex and multimodal and for this reason the proposed evolutionary-based optimization technique, which is oriented on a dynamical system identification problem, was applied. To improve its performance an algorithm restart operator was implemented.

  1. Examining adherence to components of cognitive-behavioral therapy for youth anxiety after training and consultation.

    PubMed

    Edmunds, Julie M; Brodman, Douglas M; Ringle, Vanesa A; Read, Kendra L; Kendall, Philip C; Beidas, Rinad S

    2017-02-01

    The present study examined 115 service providers' adherence to components of cognitive-behavioral therapy (CBT) for youth anxiety prior to training, post workshop training, and after three months of weekly consultation. Adherence was measured using a role-play with a trained actor. We examined differences in individual adherence to CBT components across time and the relationship between number of consultation sessions attended and adherence ratings following consultation. Findings indicated that somatic arousal identification and relaxation were the most used treatment components prior to training. Adherence to all components of CBT increased following workshop training, except the usage of problem-solving. Adherence to problem-solving, positive reinforcement, the identification of anxious self-talk, and the creation of coping thoughts increased following consultation but usage of problem-solving remained low compared to other treatment components. Overall adherence remained less than optimal at the final measurement point. Number of consultation sessions attended predicted post-consultation adherence to identification of somatic arousal, identification of anxious self-talk, and positive reinforcement. Implications include tailoring future training based on baseline levels of adherence and spending more time during training and consultation on underutilized CBT components, such as problem-solving. Limitations of the present study, including how adherence was measured, are discussed. This study adds to the implementation science literature by providing more nuanced information on changes in adherence over the course of training and consultation of service providers.

  2. Study on Material Parameters Identification of Brain Tissue Considering Uncertainty of Friction Coefficient

    NASA Astrophysics Data System (ADS)

    Guan, Fengjiao; Zhang, Guanjun; Liu, Jie; Wang, Shujing; Luo, Xu; Zhu, Feng

    2017-10-01

    Accurate material parameters are critical to construct the high biofidelity finite element (FE) models. However, it is hard to obtain the brain tissue parameters accurately because of the effects of irregular geometry and uncertain boundary conditions. Considering the complexity of material test and the uncertainty of friction coefficient, a computational inverse method for viscoelastic material parameters identification of brain tissue is presented based on the interval analysis method. Firstly, the intervals are used to quantify the friction coefficient in the boundary condition. And then the inverse problem of material parameters identification under uncertain friction coefficient is transformed into two types of deterministic inverse problem. Finally the intelligent optimization algorithm is used to solve the two types of deterministic inverse problems quickly and accurately, and the range of material parameters can be easily acquired with no need of a variety of samples. The efficiency and convergence of this method are demonstrated by the material parameters identification of thalamus. The proposed method provides a potential effective tool for building high biofidelity human finite element model in the study of traffic accident injury.

  3. Differential referral of women and men to employee assistance programs: the role of supervisory attitudes.

    PubMed

    Young, D W; Reichman, W R; Levy, M F

    1987-01-01

    Potential factors underlying sex differences in the referral of problem-drinking subordinates to employee assistance programs (EAPs) were explored in interviews with 120 supervisors in four organizations. Analyses of data obtained in these interviews assessed the relative ability of eight variables to predict supervisor's actual identification and referral of female and male problem drinkers. In addition to numbers of employees supervised, the supervisors' judgment of the EAP's effectiveness was the best predictor of referral and identification, regardless of the sex of the referred subordinate. Knowledge and training in the EAP was a secondary contributor to referral of men, but played no role in female referrals. When controlling for all other variables, the extent to which supervisors held an egalitarian attitude toward women's rights and roles was found to be marginally positively related to identification of female drinkers. Similarly, a less stigmatized, stereotyped view of women's use and abuse of alcohol was marginally associated with a greater likelihood of referral of a female drinker to the EAP. Neither of these attitudinal variables was related to identification or referral of male problem drinkers.

  4. Patron ID Cards Made Easy and Cheap

    ERIC Educational Resources Information Center

    Peischl, Tom

    1978-01-01

    Four major problems of academic library identification cards are expense, distribution, timeliness, and validation. By moving from a commercially produced plastic library card to a locally produced paper IBM-type card, this library solved these four library card problems. (Author)

  5. Barriers and Facilitators of Responding to Problem Gambling: Perspectives from Australian Mental Health Services.

    PubMed

    Rodda, S N; Manning, V; Dowling, N A; Lee, S J; Lubman, D I

    2018-03-01

    Despite high rates of comorbidity between problem gambling and mental health disorders, few studies have examined barriers or facilitators to the implementation of screening for problem gambling in mental health services. This exploratory qualitative study identified key themes associated with screening in mental health services. Semi-structured interviews were undertaken with 30 clinicians and managers from 11 mental health services in Victoria, Australia. Major themes and subthemes were identified using qualitative content analysis. Six themes emerged including competing priorities, importance of routine screening, access to appropriate screening tools, resources, patient responsiveness and workforce development. Barriers to screening included a focus on immediate risk as well as gambling being often considered as a longer-term concern. Clinicians perceived problem gambling as a relatively rare condition, but did acknowledge the need for brief screening. Facilitators to screening were changes to system processes, such as identification of an appropriate brief screening instrument, mandating its use as part of routine screening, as well as funded workforce development activities in the identification and management of problem gambling.

  6. On Restructurable Control System Theory

    NASA Technical Reports Server (NTRS)

    Athans, M.

    1983-01-01

    The state of stochastic system and control theory as it impacts restructurable control issues is addressed. The multivariable characteristics of the control problem are addressed. The failure detection/identification problem is discussed as a multi-hypothesis testing problem. Control strategy reconfiguration, static multivariable controls, static failure hypothesis testing, dynamic multivariable controls, fault-tolerant control theory, dynamic hypothesis testing, generalized likelihood ratio (GLR) methods, and adaptive control are discussed.

  7. Implantation of radio frequency identification device (RFID) microchip in disaster victim identification (DVI).

    PubMed

    Meyer, Harald J; Chansue, Nantarika; Monticelli, Fabio

    2006-03-10

    The tsunami catastrophe of December 2004 left more than 200,000 dead. Disaster victim identification (DVI) teams were presented with the unprecedented challenge of identifying thousands of mostly markedly putrefied and partially skeletised bodies. To this end, an adequate body tagging method is essential. Conventional body bag tagging in terms of writing on body bags and placing of tags inside body bags proved unsatisfactory and problem prone due to consequences of cold storage, formalin (formaldehyde) embalming and body numbers inside storage facilities. The placement of radio frequency identification device (RFID) microchips inside victim bodies provided a practical solution to problems of body tagging and attribution in the DVI setting encountered by the Austrian DVI team in Thailand in early 2005.

  8. A taxonomy of inductive problems.

    PubMed

    Kemp, Charles; Jern, Alan

    2014-02-01

    Inductive inferences about objects, features, categories, and relations have been studied for many years, but there are few attempts to chart the range of inductive problems that humans are able to solve. We present a taxonomy of inductive problems that helps to clarify the relationships between familiar inductive problems such as generalization, categorization, and identification, and that introduces new inductive problems for psychological investigation. Our taxonomy is founded on the idea that semantic knowledge is organized into systems of objects, features, categories, and relations, and we attempt to characterize all of the inductive problems that can arise when these systems are partially observed. Recent studies have begun to address some of the new problems in our taxonomy, and future work should aim to develop unified theories of inductive reasoning that explain how people solve all of the problems in the taxonomy.

  9. SCREENING TO IDENTIFY AND PREVENT URBAN STORM WATER PROBLEMS: ESTIMATING IMPERVIOUS AREA ACCURATELY AND CHEAPLY

    EPA Science Inventory

    Complete identification and eventual prevention of urban/suburban water quality problems pose significant monitoring challenges. Uncontrolled growth of impervious surfaces (roads, buildings and parking) causes detrimental hydrologic changes, stream channel erosion, habitat degra...

  10. Identification of specific problems and countermeasures targets for reducing alcohol related casualties

    DOT National Transportation Integrated Search

    1975-12-01

    Police reports of accidents were analyzed in terms of accident characteristic and driver behaviors to determine the problems of drinking drivers. Analyses were conducted to profile the culpable drinkers and to compare them to culpable nondrinkers in ...

  11. Identification of specific problems and countermeasures targets for reducing alcohol related casualties

    DOT National Transportation Integrated Search

    1978-08-01

    Police reports of accidents were analyzed in terms of accident characteristics and driver behaviors to determine the problems of drinking drivers. Analyses were conducted to profile the culpable drinkers and to compare them to culpable nondrinkers in...

  12. A Comprehensive Staff Approach to Problem Wandering.

    ERIC Educational Resources Information Center

    Rader, Joanne

    1987-01-01

    Describes specific comprehensive program implemented in intermediate care facility/skilled nursing facility that reduced problematic wandering by patients, increased patient freedom and safety, and increased staff skill and comfort in handling wandering behaviors. Describes program components, problem identification, prevention programs,…

  13. SCREENING TO IDENTIFY AND PREVENT URBAN STORM WATER PROBLEMS: ESTIMATING IMPERVIOUS AREA ACCURATELY AND INEXPENSIVELY

    EPA Science Inventory

    Complete identification and eventual prevention of urban water quality problems pose significant monitoring, "smart growth" and water quality management challenges. Uncontrolled increase of impervious surface area (roads, buildings, and parking lots) causes detrimental hydrologi...

  14. Prevention of Communication Problems Associated with Cleft Palate.

    ERIC Educational Resources Information Center

    Pannbacker, Mary

    1988-01-01

    The paper reviews principles of preventative intervention and their application to communication problems associated with cleft palate. Ten specific suggestions (such as continuing professional education, identification of adenoidal atrophy, and prompt referral for secondary management) and activities are described. (Author/DB)

  15. Enriched Imperialist Competitive Algorithm for system identification of magneto-rheological dampers

    NASA Astrophysics Data System (ADS)

    Talatahari, Siamak; Rahbari, Nima Mohajer

    2015-10-01

    In the current research, the imperialist competitive algorithm is dramatically enhanced and a new optimization method dubbed as Enriched Imperialist Competitive Algorithm (EICA) is effectively introduced to deal with high non-linear optimization problems. To conduct a close examination of its functionality and efficacy, the proposed metaheuristic optimization approach is actively employed to sort out the parameter identification of two different types of hysteretic Bouc-Wen models which are simulating the non-linear behavior of MR dampers. Two types of experimental data are used for the optimization problems to minutely examine the robustness of the proposed EICA. The obtained results self-evidently demonstrate the high adaptability of EICA to suitably get to the bottom of such non-linear and hysteretic problems.

  16. Galerkin approximation for inverse problems for nonautonomous nonlinear distributed systems

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Reich, Simeon; Rosen, I. G.

    1988-01-01

    An abstract framework and convergence theory is developed for Galerkin approximation for inverse problems involving the identification of nonautonomous nonlinear distributed parameter systems. A set of relatively easily verified conditions is provided which are sufficient to guarantee the existence of optimal solutions and their approximation by a sequence of solutions to a sequence of approximating finite dimensional identification problems. The approach is based on the theory of monotone operators in Banach spaces and is applicable to a reasonably broad class of nonlinear distributed systems. Operator theoretic and variational techniques are used to establish a fundamental convergence result. An example involving evolution systems with dynamics described by nonstationary quasilinear elliptic operators along with some applications are presented and discussed.

  17. Consequences Identification in Forecasting and Ethical Decision-making

    PubMed Central

    Stenmark, Cheryl K.; Antes, Alison L.; Thiel, Chase E.; Caughron, Jared J.; Wang, Xiaoqian; Mumford, Michael D.

    2015-01-01

    Forecasting involves predicting outcomes based on observations of the situation at hand. We examined the impact of the number and types of consequences considered on the quality of ethical decision-making. Undergraduates role-played several ethical problems in which they forecast potential outcomes and made decisions. Performance pressure (difficult demands placed on the situation) and interpersonal conflict (clashes among people in the problem situation) were manipulated within each problem scenario. The results indicated that the identification of potential consequences was positively associated with both higher quality forecasts and more ethical decisions. Neither performance pressure nor interpersonal conflict affected the quality of forecasts or decisions. Theoretical and practical implications of these findings and the use of this research approach are discussed. PMID:21460584

  18. Identification challenges for large space structures

    NASA Technical Reports Server (NTRS)

    Pappa, Richard S.

    1990-01-01

    The paper examines the on-orbit modal identification of large space structures, stressing the importance of planning and experience, in preparation for the Space Station Structural Characterization Experiment (SSSCE) for the Space Station Freedom. The necessary information to foresee and overcome practical difficulties is considered in connection with seven key factors, including test objectives, dynamic complexity of the structure, data quality, extent of exploratory studies, availability and understanding of software tools, experience with similar problems, and pretest analytical conditions. These factors affect identification success in ground tests. Comparisons with similar ground tests of assembled systems are discussed, showing that the constraints of space tests make these factors more significant. The absence of data and experiences relating to on-orbit modal identification testing is shown to make identification a uniquely mathematical problem, although all spacecraft are constructed and verified by proven engineering methods.

  19. Development of a Test Facility for Air Revitalization Technology Evaluation

    NASA Technical Reports Server (NTRS)

    Lu, Sao-Dung; Lin, Amy; Campbell, Melissa; Smith, Frederick

    2006-01-01

    An active fault tolerant control (FTC) law is generally sensitive to false identification since the control gain is reconfigured for fault occurrence. In the conventional FTC law design procedure, dynamic variations due to false identification are not considered. In this paper, an FTC synthesis method is developed in order to consider possible variations of closed-loop dynamics under false identification into the control design procedure. An active FTC synthesis problem is formulated into an LMI optimization problem to minimize the upper bound of the induced-L2 norm which can represent the worst-case performance degradation due to false identification. The developed synthesis method is applied for control of the longitudinal motions of FASER (Free-flying Airplane for Subscale Experimental Research). The designed FTC law of the airplane is simulated for pitch angle command tracking under a false identification case.

  20. Estimation on nonlinear damping in second order distributed parameter systems

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Reich, Simeon; Rosen, I. G.

    1989-01-01

    An approximation and convergence theory for the identification of nonlinear damping in abstract wave equations is developed. It is assumed that the unknown dissipation mechanism to be identified can be described by a maximal monotone operator acting on the generalized velocity. The stiffness is assumed to be linear and symmetric. Functional analytic techniques are used to establish that solutions to a sequence of finite dimensional (Galerkin) approximating identification problems in some sense approximate a solution to the original infinite dimensional inverse problem.

  1. Application of Two-Parameter Stabilizing Functions in Solving a Convolution-Type Integral Equation by Regularization Method

    NASA Astrophysics Data System (ADS)

    Maslakov, M. L.

    2018-04-01

    This paper examines the solution of convolution-type integral equations of the first kind by applying the Tikhonov regularization method with two-parameter stabilizing functions. The class of stabilizing functions is expanded in order to improve the accuracy of the resulting solution. The features of the problem formulation for identification and adaptive signal correction are described. A method for choosing regularization parameters in problems of identification and adaptive signal correction is suggested.

  2. [SIMBO: a Screening Instrument for Identification of Work-Related Disabilities--analyses of construct and prognostic validity].

    PubMed

    Streibelt, M; Gerwinn, H; Hansmeier, T; Thren, K; Müller-Fahrnow, W

    2007-10-01

    For a number of years, work-related interventions in medical rehabilitation (MBO) have been developed. Basically, these interventions concentrate on vocational problems of rehabilitees whose health disorders are strongly associated with contextual factors of the environment as well as personal factors. Previous studies showed a close relationship between the success of an intervention and identification of a specific demand. In fact there are several clinical concepts regarding specific demand. But there still is a lack of appropriate instruments for use in identification of occupational challenges. Therefore SIMBO (Screening Instrument for Identification of a Demand for Medical-Vocational Oriented Rehabilitation) has been developed recently. By using a scale for the intensity of work-related problems as well as a cut-off point, SIMBO is able to identify patients with and without a demand for work-related interventions. Analyses relative to construct validity and predictive validity were carried out on two different samples--a multi-clinic sample (patients with musculoskeletal disorders) and a sample from the German statutory pension insurance agency DRV Westfalen (successful applications for medical rehabilitation). In this context the cut-off level discussion is very important. By means of the multi-clinic sample--irrespective of cut-off definition--the SIMBO-decision and the clinical identification of MBO-demand were found to agree in 74-78% of the cases. This corresponds to a maximum adjusted correlation of r=0.59 (phi coefficient). Compared to the external ratings of vocational problems given by DRV staff in handling the applications, however, only little agreement is found (64%, r=0.25). In fact, SIMBO had in 77% (r=0.50) of the cases been able to correctly predict work-related problems to be expected. So the result obtained using this instrument is far better than prediction of these problems in the external ratings by DRV staff (54%, r=0,21). Also, return to work (RTW) in good health after six months can be predicted correctly by SIMBO in 77% of the cases. This means that the probability of RTW in good health is reduced by 90% (Odds Ratio=0.1) if work-related problems had been identified by SIMBO. Concerning its clinical as well as predictive quality, the validity of SIMBO-based ratings of work-related problems has been proven. Further, it has become obvious that SIMBO is suitable as an easy-to-handle tool for identification of a need for vocationally-focused interventions for use by the social insurance agencies which finance rehabilitation. Further interesting questions arise relative to application in different indications as well as potential uses as an outcome instrument.

  3. Contracting for Change

    ERIC Educational Resources Information Center

    Scholtes, Peter R.

    1975-01-01

    An organizational workshop for staff members focused on organizational change through identification of problems, one-to-one communication, and the writing of contracts for behavioral change. Contract forming assists members to agree on definition of problems, to involve and commit themselves, and to define processes for change. (EA)

  4. Identification and testing of countermeasures for specific alcohol accident types and problems. Volume 4, Appendices

    DOT National Transportation Integrated Search

    1984-12-01

    This report summarizes work conducted to investigate the feasibility of developing effective countermeasures directed at specific alcohol-related accidents or problems. In Phase I, literature and accident data were reviewed to determine the scope and...

  5. Complex Problem Solving--More than Reasoning?

    ERIC Educational Resources Information Center

    Wustenberg, Sascha; Greiff, Samuel; Funke, Joachim

    2012-01-01

    This study investigates the internal structure and construct validity of Complex Problem Solving (CPS), which is measured by a "Multiple-Item-Approach." It is tested, if (a) three facets of CPS--"rule identification" (adequateness of strategies), "rule knowledge" (generated knowledge) and "rule application"…

  6. Charts designate probable future oceanographic research fields

    NASA Technical Reports Server (NTRS)

    1968-01-01

    Charts outline the questions and problems of oceanographic research in the future. NASA uses the charts to estimate the probable requirements for instrumentation carried by satellites engaged in cooperative programs with other agencies concerned with identification, analysis, and solution of many of these problems.

  7. Identification and testing of countermeasures for specific alcohol accident types and problems. Volume 1, Executive summary

    DOT National Transportation Integrated Search

    1984-12-01

    This report summarizes work conducted to investigate the feasibility of developing effective countermeasures directed at specific alcohol-related accidents or problems. In Phase I, literature and accident data were reviewed to determine the scope and...

  8. Integrated CAD/CAM: Problems, prognosis, and role of IPAD

    NASA Technical Reports Server (NTRS)

    Nilson, E. N.

    1980-01-01

    Major technology problems impede the development and evolution of totally integrated interactive CAD/CAM systems. IPAD is playing an important role in the identification of these problems and is contributing significantly to their solution. It is the purpose of this presentation to examine some of these issues, look at the prognosis of obtaining effective solutions, and point up some of the past and expected contributions of IPAD to this technology.

  9. The Quality Control of Data in a Clinical Database System—The Patient Identification Problem *

    PubMed Central

    Lai, J. Chi-Sang; Covvey, H.D.; Sevcik, K.C.; Wigle, E.D.

    1981-01-01

    Ensuring the accuracy of patient identification and the linkage of records with the appropriate patient owner is the first level of quality control of data in a clinical database system. Without a unique patient identifier, the fact that patient identity may be recorded at different places and times means that multiple identities may be associated with a given patient and new records associated with any of these identities. Even when a unique patient identifier is utilized, errors introduced in the data handling process can result in the same problems. The outcome is that the retrieval request for a given record may fail, or an erroneously identified record may be retrieved. We have studied each of the ways this fundamental problem occurs and propose a solution based on record linkage techniques to detect errors of this type. Specifically, we propose a patient identification scheme for the situation where no unique health identifier is available and detail a method to find patient records with erroneous identifiers.

  10. Identification and Support of Outstanding Astronomy Students

    NASA Astrophysics Data System (ADS)

    Stoev, A. D.; Bozhurova, E. S.

    2006-08-01

    The aims, organizational plan and syllabus of a specialized Astronomy School with a subject of training students for participation in the International Astronomy Olympiad, are presented. Thematic frame includes basic educational activities during the preparation and self-preparation of the students and their participation in astronomical Olympiads. A model of identification and selection of outstanding students for astronomical Olympiads has been developed. Examples of didactic systems of problems for development of mathematical, physical and astronomical skills are shown. The programme ends with individual training for solving problems on astronomy and astrophysics. Possibilities, which the characteristic, non-standard astronomical problems give for stimulating the creative and original thinking, are specified. Basic psychological condition for development of the students' creative potential - transformation of the cognitive content in emotional one - is demonstrated. The programme of identification and support of outstanding students on astronomy is realized in collaboration with The Ministry of Education and Science, Public Astronomical Observatories and Planetaria, Institute of Astronomy - Bulgarian Academy of Sciences, and The Union of Astronomers in Bulgaria.

  11. Identification of pilot-vehicle dynamics from simulation and flight test

    NASA Technical Reports Server (NTRS)

    Hess, Ronald A.

    1990-01-01

    The paper discusses an identification problem in which a basic feedback control structure, or pilot control strategy, is hypothesized. Identification algorithms are employed to determine the particular form of pilot equalization in each feedback loop. It was found that both frequency- and time-domain identification techniques provide useful information.

  12. Barriers to managing child and adolescent mental health problems: a systematic review of primary care practitioners' perceptions.

    PubMed

    O'Brien, Doireann; Harvey, Kate; Howse, Jessica; Reardon, Tessa; Creswell, Cathy

    2016-10-01

    Mental health problems are common and typically have an early onset. Effective treatments for mental health problems in childhood and adolescence are available, yet only a minority of children who are affected access them. This is of serious concern, considering the far-reaching and long-term negative consequences of such problems. Primary care is usually the first port of call for concerned parents so it is important to understand how primary care practitioners manage child and adolescent mental health problems and the barriers they face. To ascertain primary care practitioners' perceptions of the barriers that prevent effective management of child and adolescent mental health problems. A systematic review of qualitative and quantitative literature in a primary care setting. A database search of peer-reviewed articles using PsycINFO, MEDLINE(®), Embase, and Web of Science, from inception (earliest 1806) until October 2014, was conducted. Additional studies were identified through hand searches and forward-citation searches. Studies needed to have at least one search term in four categories: primary care, childhood/adolescence, mental health, and barriers. A total of 4151 articles were identified, of which 43 were included (30 quantitative studies and 13 qualitative studies). The majority of the barriers related to identification, management, and/or referral. Considerable barriers included a lack of providers and resources, extensive waiting lists, and financial restrictions. The identification of a broad range of significant barriers highlights the need to strengthen the ability to deal with these common difficulties in primary care. There is a particular need for tools and training to aid accurate identification and management, and for more efficient access to specialist services. © British Journal of General Practice 2016.

  13. Barriers to managing child and adolescent mental health problems: a systematic review of primary care practitioners’ perceptions

    PubMed Central

    O’Brien, Doireann; Harvey, Kate; Howse, Jessica; Reardon, Tessa; Creswell, Cathy

    2016-01-01

    Background Mental health problems are common and typically have an early onset. Effective treatments for mental health problems in childhood and adolescence are available, yet only a minority of children who are affected access them. This is of serious concern, considering the far-reaching and long-term negative consequences of such problems. Primary care is usually the first port of call for concerned parents so it is important to understand how primary care practitioners manage child and adolescent mental health problems and the barriers they face. Aim To ascertain primary care practitioners’ perceptions of the barriers that prevent effective management of child and adolescent mental health problems. Design and setting A systematic review of qualitative and quantitative literature in a primary care setting. Method A database search of peer-reviewed articles using PsycINFO, MEDLINE®, Embase, and Web of Science, from inception (earliest 1806) until October 2014, was conducted. Additional studies were identified through hand searches and forward-citation searches. Studies needed to have at least one search term in four categories: primary care, childhood/adolescence, mental health, and barriers. Results A total of 4151 articles were identified, of which 43 were included (30 quantitative studies and 13 qualitative studies). The majority of the barriers related to identification, management, and/or referral. Considerable barriers included a lack of providers and resources, extensive waiting lists, and financial restrictions. Conclusion The identification of a broad range of significant barriers highlights the need to strengthen the ability to deal with these common difficulties in primary care. There is a particular need for tools and training to aid accurate identification and management, and for more efficient access to specialist services. PMID:27621291

  14. [Formula: see text]-regularized recursive total least squares based sparse system identification for the error-in-variables.

    PubMed

    Lim, Jun-Seok; Pang, Hee-Suk

    2016-01-01

    In this paper an [Formula: see text]-regularized recursive total least squares (RTLS) algorithm is considered for the sparse system identification. Although recursive least squares (RLS) has been successfully applied in sparse system identification, the estimation performance in RLS based algorithms becomes worse, when both input and output are contaminated by noise (the error-in-variables problem). We proposed an algorithm to handle the error-in-variables problem. The proposed [Formula: see text]-RTLS algorithm is an RLS like iteration using the [Formula: see text] regularization. The proposed algorithm not only gives excellent performance but also reduces the required complexity through the effective inversion matrix handling. Simulations demonstrate the superiority of the proposed [Formula: see text]-regularized RTLS for the sparse system identification setting.

  15. Phonological Coding Abilities: Identification of Impairments Related to Phonologically Based Reading Problems.

    ERIC Educational Resources Information Center

    Swank, Linda K.

    1994-01-01

    Relationships between phonological coding abilities and reading outcomes have implications for differential diagnosis of language-based reading problems. The theoretical construct of specific phonological coding ability is explained, including phonological encoding, phonological awareness and metaphonology, lexical access, working memory, and…

  16. Change in children's externalizing and internalizing behavior problems: the role of defense mechanisms.

    PubMed

    Cramer, Phebe

    2015-03-01

    This study investigates the relation of defense mechanism to children's externalizing and internalizing behavior problems, as assessed from mothers' report at age 9 and 12 years, based on archival data. The defense mechanisms of denial, projection, and identification were assessed from Thematic Apperception Test stories told by the children at age 9 years, using the Defense Mechanism Manual (Cramer, The development of defense mechanisms: Theory, research and assessment. New York: Springer-Verlag, 1991a; Protecting the self: Defense mechanisms in action. New York: Guilford Press, 2006). The results showed that the use of identification predicted a decrease in externalizing behaviors between age 9 and 12 years. In contrast, change in internalizing behaviors was not predicted by defense use, but the use of projection was related to fewer internalizing behaviors at both ages. These findings are consistent with the idea that behavioral intervention stressing self-regulation can be effective in reducing externalizing problems, but internalizing problems require an intervention that is sensitive to the underlying behavioral inhibition in these children.

  17. Moving force identification based on modified preconditioned conjugate gradient method

    NASA Astrophysics Data System (ADS)

    Chen, Zhen; Chan, Tommy H. T.; Nguyen, Andy

    2018-06-01

    This paper develops a modified preconditioned conjugate gradient (M-PCG) method for moving force identification (MFI) by improving the conjugate gradient (CG) and preconditioned conjugate gradient (PCG) methods with a modified Gram-Schmidt algorithm. The method aims to obtain more accurate and more efficient identification results from the responses of bridge deck caused by vehicles passing by, which are known to be sensitive to ill-posed problems that exist in the inverse problem. A simply supported beam model with biaxial time-varying forces is used to generate numerical simulations with various analysis scenarios to assess the effectiveness of the method. Evaluation results show that regularization matrix L and number of iterations j are very important influence factors to identification accuracy and noise immunity of M-PCG. Compared with the conventional counterpart SVD embedded in the time domain method (TDM) and the standard form of CG, the M-PCG with proper regularization matrix has many advantages such as better adaptability and more robust to ill-posed problems. More importantly, it is shown that the average optimal numbers of iterations of M-PCG can be reduced by more than 70% compared with PCG and this apparently makes M-PCG a preferred choice for field MFI applications.

  18. Level-set techniques for facies identification in reservoir modeling

    NASA Astrophysics Data System (ADS)

    Iglesias, Marco A.; McLaughlin, Dennis

    2011-03-01

    In this paper we investigate the application of level-set techniques for facies identification in reservoir models. The identification of facies is a geometrical inverse ill-posed problem that we formulate in terms of shape optimization. The goal is to find a region (a geologic facies) that minimizes the misfit between predicted and measured data from an oil-water reservoir. In order to address the shape optimization problem, we present a novel application of the level-set iterative framework developed by Burger in (2002 Interfaces Free Bound. 5 301-29 2004 Inverse Problems 20 259-82) for inverse obstacle problems. The optimization is constrained by (the reservoir model) a nonlinear large-scale system of PDEs that describes the reservoir dynamics. We reformulate this reservoir model in a weak (integral) form whose shape derivative can be formally computed from standard results of shape calculus. At each iteration of the scheme, the current estimate of the shape derivative is utilized to define a velocity in the level-set equation. The proper selection of this velocity ensures that the new shape decreases the cost functional. We present results of facies identification where the velocity is computed with the gradient-based (GB) approach of Burger (2002) and the Levenberg-Marquardt (LM) technique of Burger (2004). While an adjoint formulation allows the straightforward application of the GB approach, the LM technique requires the computation of the large-scale Karush-Kuhn-Tucker system that arises at each iteration of the scheme. We efficiently solve this system by means of the representer method. We present some synthetic experiments to show and compare the capabilities and limitations of the proposed implementations of level-set techniques for the identification of geologic facies.

  19. A Benchmark Problem for Development of Autonomous Structural Modal Identification

    NASA Technical Reports Server (NTRS)

    Pappa, Richard S.; Woodard, Stanley E.; Juang, Jer-Nan

    1996-01-01

    This paper summarizes modal identification results obtained using an autonomous version of the Eigensystem Realization Algorithm on a dynamically complex, laboratory structure. The benchmark problem uses 48 of 768 free-decay responses measured in a complete modal survey test. The true modal parameters of the structure are well known from two previous, independent investigations. Without user involvement, the autonomous data analysis identified 24 to 33 structural modes with good to excellent accuracy in 62 seconds of CPU time (on a DEC Alpha 4000 computer). The modal identification technique described in the paper is the baseline algorithm for NASA's Autonomous Dynamics Determination (ADD) experiment scheduled to fly on International Space Station assembly flights in 1997-1999.

  20. Adolescent peer group identification and characteristics: A review of the literature

    PubMed Central

    Sussman, Steve; Pokhrel, Pallav; Ashmore, Richard D.; Brown, B. Bradford

    2011-01-01

    This study provides an exhaustive review of 44 peer-reviewed quantitative or qualitative data-based peer-reviewed studies completed on adolescent peer group identification. Adolescent peer group identification is one’s self-perceived or other-perceived membership in discrete teenage peer groups. The studies reviewed suggest that adolescent peer groups consist of five general categories differentiable by lifestyle characteristics: Elites, Athletes, Academics, Deviants, and Others. We found that the Deviant adolescent group category reported relatively greater participation in drug use and other problem behaviors across studies, whereas Academics and Athletes exhibited the least participation in these problem behaviors. Additional research is needed in this arena to better understand the operation of adolescent group labels. PMID:17188815

  1. Alcohol Use-Related Problems Among a Rural Indian Population of West Bengal: An Application of the Alcohol Use Disorders Identification Test (AUDIT).

    PubMed

    Barik, Anamitra; Rai, Rajesh Kumar; Chowdhury, Abhijit

    2016-03-01

    To examine alcohol use and related problems among a rural subset of the Indian population. The Alcohol Use Disorders Identification Test (AUDIT) was used as part of Health and Demographic Surveillance of 36,611 individuals aged ≥18 years. From this survey data on 3671 current alcohol users were analysed using bivariate and multivariate ordered logit regression. Over 19% of males and 2.4% of females were current alcohol users. Mean ethanol consumption on a typical drinking day among males was estimated to be higher (96.3 gm) than females (56.5 gm). Mean AUDIT score was 11 among current alcohol users. AUDIT showed in the ordered logit regression estimated alcohol use-related problems to be low among women, Scheduled Tribes and unmarried people, whereas alcohol use-related problems registered high among Muslims. This rural population appears to be in need of an effective intervention program, perhaps targeting men and the household, aimed at reducing the level of alcohol use and related problems. © The Author 2015. Medical Council on Alcohol and Oxford University Press. All rights reserved.

  2. What predicts persistent early conduct problems? Evidence from the Growing Up in Scotland cohort

    PubMed Central

    Bradshaw, Paul; Tipping, Sarah; Henderson, Marion; Der, Geoff; Minnis, Helen

    2013-01-01

    Background There is a strong case for early identification of factors predicting life-course-persistent conduct disorder. The authors aimed to identify factors associated with repeated parental reports of preschool conduct problems. Method Nested case–control study of Scottish children who had behavioural data reported by parents at 3, 4 and 5 years. Results 79 children had abnormal conduct scores at all three time points (‘persistent conduct problems’) and 434 at one or two points (‘inconsistent conduct problems’). 1557 children never had abnormal scores. Compared with children with no conduct problems, children with reported problems were significantly more likely to have mothers who smoked during pregnancy. They were less likely to be living with both parents and more likely to be in poor general health, to have difficulty being understood, to have a parent who agrees that smacking is sometimes necessary and to be taken to visit other people with children rarely. The results for children with persistent and inconsistent conduct problems were similar, but associations with poverty and maternal smoking were significantly less strong in the inconsistent group. Conclusion These factors may be valuable in early identification of risk of major social difficulties. PMID:22844082

  3. Identification and treatment of patients with nicotine problems in routine clinical psychiatry practice.

    PubMed

    Montoya, Ivan D; Herbeck, Diane M; Svikis, Dace S; Pincus, Harold Alan

    2005-01-01

    The aim of this study is to assess the rates of nicotine problems diagnosed by psychiatrists, the characteristics of psychiatric patients who smoke, and the services provided to them in routine psychiatric practice. Data were obtained by asking psychiatrists participating in the American Psychiatric Institute for Psychiatric Research and Education's Practice Research Network to complete a self-administered questionnaire to provide detailed sociodemographic, clinical, and health plan information on three of their patients seen during routine clinical practice. A total of 615 psychiatrists provided information on 1,843 patients, of which 280 (16.6%) were reported to have a current nicotine problem. Of these, 9.1% were reported to receive treatment for nicotine dependence. Patients with nicotine problems were significantly more likely to be males, divorced or separated, disabled, and uninsured, and have fewer years of education. They also had significantly more co-morbid psychiatric disorders, particularly schizophrenia or alcohol/substance use disorders; a lower Global Assessment Functioning score; and poorer treatment compliance than their counterparts. The results suggest a very low rate of identification and treatment of nicotine problems among patients treated by psychiatrists, even though psychiatric patients who smoke seem to have more clinical and psychosocial stressors and more severe psychiatric problems than those who do not smoke. Programs should be developed to raise the awareness and ability of psychiatrists to diagnose and treat patients with nicotine problems, with a particular emphasis on the increased medical and psychosocial needs of psychiatric patients who smoke.

  4. Consultation Focus: Identification of Issues.

    ERIC Educational Resources Information Center

    Pian, Canta

    This paper discusses some of the problems faced by Asian Americans. Major topics addressed include: (1) the lack of accurate census statistics on minorities, especially Asian and Pacific Americans; (2) the employment, health, and stereotypic portrayal problems faced by Asian and Pacific American women; (3) racially discriminatory immigration laws…

  5. Refinements to Service Retention Limits for Reparable Aeronautical Components (Inactive Inventory)

    DTIC Science & Technology

    2014-12-01

    39 3. Framing the Problem ...Departments and the Defense Logistics Agency to establish contingency retention requirements” (NDAA 2009). B. PROBLEM IDENTIFICATION This study... the March 2014 stratification cycle (Buhrman, 2013a). This research validates service retention limit (SRL) calculations with emphasis on the

  6. Drawings as a Component of Triangulated Assessment

    ERIC Educational Resources Information Center

    Otto, Charlotte A.; Everett, Susan A.; Luera, Gail R.; Burke, Christopher F. J.

    2013-01-01

    Action research (AR) in an educational setting as described by Tillotson (2000), is an approach to "classroom-based problems" or "specific school issues". This process involves identification of the issue or problem, development and implementation of an action plan, gathering and interpreting data, sharing the results within…

  7. Identifying Critical Issues and Problems in Technology Education Using a Modified-Delphi Technique.

    ERIC Educational Resources Information Center

    Wicklein, Robert C.

    1993-01-01

    Critical issues for technology education (TE) identified by a 25-member Delphi panel were identification of the knowledge base, curriculum development approaches, interdisciplinary approaches, and teacher education reform. Problems identified included inadequate marketing/public relations, teacher shortage, lack of content consensus, and…

  8. Model Identification in Time-Series Analysis: Some Empirical Results.

    ERIC Educational Resources Information Center

    Padia, William L.

    Model identification of time-series data is essential to valid statistical tests of intervention effects. Model identification is, at best, inexact in the social and behavioral sciences where one is often confronted with small numbers of observations. These problems are discussed, and the results of independent identifications of 130 social and…

  9. PROBABILISTIC CROSS-IDENTIFICATION IN CROWDED FIELDS AS AN ASSIGNMENT PROBLEM

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

    Budavári, Tamás; Basu, Amitabh, E-mail: budavari@jhu.edu, E-mail: basu.amitabh@jhu.edu

    2016-10-01

    One of the outstanding challenges of cross-identification is multiplicity: detections in crowded regions of the sky are often linked to more than one candidate associations of similar likelihoods. We map the resulting maximum likelihood partitioning to the fundamental assignment problem of discrete mathematics and efficiently solve the two-way catalog-level matching in the realm of combinatorial optimization using the so-called Hungarian algorithm. We introduce the method, demonstrate its performance in a mock universe where the true associations are known, and discuss the applicability of the new procedure to large surveys.

  10. Identification Problems in Personality Psychology1

    PubMed Central

    Borghans, Lex; Golsteyn, Bart H. H.; Heckman, James; Humphries, John Eric

    2011-01-01

    This paper discusses and illustrates identification problems in personality psychology. The measures used by psychologists to infer traits are based on behaviors, broadly defined. These behaviors are produced from multiple traits interacting with incentives in situations. In general, measures are determined by these multiple traits and do not identify any particular trait unless incentives and other traits are controlled for. Using two data sets, we show, as an example, that substantial portions of the variance in achievement test scores and grades, which are often used as measures of cognition, are explained by personality variables. PMID:21731170

  11. Probabilistic Cross-identification in Crowded Fields as an Assignment Problem

    NASA Astrophysics Data System (ADS)

    Budavári, Tamás; Basu, Amitabh

    2016-10-01

    One of the outstanding challenges of cross-identification is multiplicity: detections in crowded regions of the sky are often linked to more than one candidate associations of similar likelihoods. We map the resulting maximum likelihood partitioning to the fundamental assignment problem of discrete mathematics and efficiently solve the two-way catalog-level matching in the realm of combinatorial optimization using the so-called Hungarian algorithm. We introduce the method, demonstrate its performance in a mock universe where the true associations are known, and discuss the applicability of the new procedure to large surveys.

  12. The application of Legendre-tau approximation to parameter identification for delay and partial differential equations

    NASA Technical Reports Server (NTRS)

    Ito, K.

    1983-01-01

    Approximation schemes based on Legendre-tau approximation are developed for application to parameter identification problem for delay and partial differential equations. The tau method is based on representing the approximate solution as a truncated series of orthonormal functions. The characteristic feature of the Legendre-tau approach is that when the solution to a problem is infinitely differentiable, the rate of convergence is faster than any finite power of 1/N; higher accuracy is thus achieved, making the approach suitable for small N.

  13. On accuracy, privacy, and complexity in the identification problem

    NASA Astrophysics Data System (ADS)

    Beekhof, F.; Voloshynovskiy, S.; Koval, O.; Holotyak, T.

    2010-02-01

    This paper presents recent advances in the identification problem taking into account the accuracy, complexity and privacy leak of different decoding algorithms. Using a model of different actors from literature, we show that it is possible to use more accurate decoding algorithms using reliability information without increasing the privacy leak relative to algorithms that only use binary information. Existing algorithms from literature have been modified to take advantage of reliability information, and we show that a proposed branch-and-bound algorithm can outperform existing work, including the enhanced variants.

  14. The Trauma Syndrome: Identification, Treatment, and Referral of Commonly Seen Problems.

    ERIC Educational Resources Information Center

    Cohon, Donald J., Jr.

    This paper provides counselors and social service case workers serving Indochinese refugees in northern California with guidelines for identifying, treating and making referrals of clients with emotional problems. Freud's theory of trauma neurosis and its effect on refugees' language acquisition, learning ability and job readiness are described.…

  15. Identification and Addressing Reduction-Related Misconceptions

    ERIC Educational Resources Information Center

    Gal-Ezer, Judith; Trakhtenbrot, Mark

    2016-01-01

    Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract…

  16. Identification and Analysis of Student Conceptions Used To Solve Chemical Equilibrium Problems.

    ERIC Educational Resources Information Center

    Voska, Kirk W.; Heikkinen, Henry W.

    2000-01-01

    Identifies and quantifies the chemistry conceptions used by students when solving chemical equilibrium problems requiring application of LeChatelier's Principle, and explores the feasibility of designing a paper and pencil test to accomplish these purposes. Eleven prevalent incorrect student conceptions about chemical equilibrium were identified…

  17. Ten-Year Research Update Review: Psychiatric Problems in Children with Epilepsy

    ERIC Educational Resources Information Center

    Plioplys, Sigita; Dunn, David W.; Caplan, Rochelle

    2007-01-01

    The research on epilepsy, a neuropsychiatric disorder characterized by seizures, psychopathology, cognitive, and linguistic problems among children in the age group of 0 to 18 years is reported. Early identification of children with epilepsy (CWE) and the development of multidisciplinary management strategies would advance relevant clinical…

  18. Specific Cognitive Predictors of Early Math Problem Solving

    ERIC Educational Resources Information Center

    Decker, Scott L.; Roberts, Alycia M.

    2015-01-01

    Development of early math skill depends on a prerequisite level of cognitive development. Identification of specific cognitive skills that are important for math development may not only inform instructional approaches but also inform assessment approaches to identifying children with specific learning problems in math. This study investigated the…

  19. Identifying Learning Disabled Students: Guidelines for Decision Making.

    ERIC Educational Resources Information Center

    Chalfant, James C.

    The report examines current problems in assessing and identifying learning disabled students and recommends practices to solve those problems. An initial chapter reviews the reasons for misidentification of this population. Section I presents a summary of identification practices drawn from guidelines of 50 state educational agencies, the District…

  20. Mental Health Screening in Child Care: Impact of a Statewide Training Session

    ERIC Educational Resources Information Center

    Gleason, Mary Margaret; Heller, Sherryl Scott; Nagle, Geoffrey A.; Boothe, Allison; Keyes, Angela; Rice, Janet

    2012-01-01

    Child care settings may provide an optimal setting for identification of early childhood mental health problems. However, little is known about child care providers' attitudes or knowledge about screening for children's mental health problems. Both attitudes and perceived knowledge could affect the successful implementation of mental health…

  1. A Performance-Based Method of Student Evaluation

    ERIC Educational Resources Information Center

    Nelson, G. E.; And Others

    1976-01-01

    The Problem Oriented Medical Record (which allows practical definition of the behavioral terms thoroughness, reliability, sound analytical sense, and efficiency as they apply to the identification and management of patient problems) provides a vehicle to use in performance based type evaluation. A test-run use of the record is reported. (JT)

  2. Assessing the Employment-Related Interpersonal Competence of Mildly Mentally Retarded Workers.

    ERIC Educational Resources Information Center

    Bullis, Michael; Foss, Gilbert

    1986-01-01

    The Test of Interpersonal Competence for Employment (TICE) designed to assess a mildly retarded worker's knowledge of interpersonal skills in the employment setting, was developed based on analysis of problems that mildly retarded workers experience and identification of correct responses to those problems by competitive employers. Initial…

  3. Educational Environment Risks: Problems of Identification and Classification

    ERIC Educational Resources Information Center

    Kayumova, Leysan R.; Zakirova, Venera G.

    2016-01-01

    The relevance of the research problem is determined by the multidimensionality of educational environment, that is the system of business and interpersonal relationships of educational process subjects. The maintenance of these relations defines quality and nature of risks for teachers and their pupils. The article aims to identify and justify the…

  4. The impact of culture collections on molecular identification, taxonomy, and solving real problems

    USDA-ARS?s Scientific Manuscript database

    Among the fungi, Fusarium has stood out as a major focus for culture collection resource development over the last century. This has facilitated unprecedented molecular taxonomic advancements, which in turn has led to problem solving in plant pathology, mycotoxicology, medical mycology, and basic re...

  5. The Changing Role of Pediatric Well-Child Care

    ERIC Educational Resources Information Center

    Kuo, Alice A.; Inkelas, Moira

    2007-01-01

    Identifying potential developmental and behavioral problems during the first 3 years of life is an important factor in promoting a child's healthy development. The early identification of a potential developmental or behavioral problem leads to further evaluation and possible diagnosis or treatment if needed. Pediatric health care professionals…

  6. Transportation and the Mentally Retarded.

    ERIC Educational Resources Information Center

    President's Committee on Mental Retardation, Washington, DC.

    Reported were the results of a contract that involved identification, description, and categorization of the nature of transportation problems for the mentally retarded by means of analysis of existing studies, two surveys, and an inventory of specialized programs and systems operating in the United States. One major problem was found to be…

  7. Analysis of Behavioral and Emotional Problems in Children Highlights the Role of Genotype × Environment Interaction.

    PubMed

    Molenaar, Dylan; Middeldorp, Christel; van Beijsterveldt, Toos; Boomsma, Dorret I

    2015-01-01

    This study tested for Genotype × Environment (G × E) interaction on behavioral and emotional problems in children using new methods that do not require identification of candidate genes or environments, can distinguish between interaction with shared and unique environment, and are insensitive to scale effects. Parental ratings of problem behavior from 14,755 twin pairs (5.3 years, SD = 0.22) indicated G × E interaction on emotional liability, social isolation, aggression, attention problems, dependency, anxiety, and physical coordination. Environmental influences increased in children who were genetically more predisposed to problem behavior, with ~20% of the variance due to G × E interaction (8% for anxiety to 37% for attention problems). Ignoring G × E interaction does not greatly bias heritability estimates, but it does offer a comprehensive model of the etiology for childhood problems. © 2015 The Authors. Child Development © 2015 Society for Research in Child Development, Inc.

  8. A History of Aerospace Problems, Their Solutions, Their Lessons

    NASA Technical Reports Server (NTRS)

    Ryan, R. S.

    1996-01-01

    The positive aspect of problem occurrences is the opportunity for learning and a challenge for innovation. The learning aspect is not restricted to the solution period of the problem occurrence, but can become the beacon for problem prevention on future programs. Problems/failures serve as a point of departure for scaling to new designs. To ensure that problems/failures and their solutions guide the future programs, a concerted effort has been expended to study these problems, their solutions, their derived lessons learned, and projections for future programs. This includes identification of technology thrusts, process changes, codes development, etc. However, they must not become an excuse for adding layers upon layers of standards, criteria, and requirements, but must serve as guidelines that assist instead of stifling engineers. This report is an extension of prior efforts to accomplish this task. Although these efforts only scratch the surface, it is a beginning that others must complete.

  9. Machinery running state identification based on discriminant semi-supervised local tangent space alignment for feature fusion and extraction

    NASA Astrophysics Data System (ADS)

    Su, Zuqiang; Xiao, Hong; Zhang, Yi; Tang, Baoping; Jiang, Yonghua

    2017-04-01

    Extraction of sensitive features is a challenging but key task in data-driven machinery running state identification. Aimed at solving this problem, a method for machinery running state identification that applies discriminant semi-supervised local tangent space alignment (DSS-LTSA) for feature fusion and extraction is proposed. Firstly, in order to extract more distinct features, the vibration signals are decomposed by wavelet packet decomposition WPD, and a mixed-domain feature set consisted of statistical features, autoregressive (AR) model coefficients, instantaneous amplitude Shannon entropy and WPD energy spectrum is extracted to comprehensively characterize the properties of machinery running state(s). Then, the mixed-dimension feature set is inputted into DSS-LTSA for feature fusion and extraction to eliminate redundant information and interference noise. The proposed DSS-LTSA can extract intrinsic structure information of both labeled and unlabeled state samples, and as a result the over-fitting problem of supervised manifold learning and blindness problem of unsupervised manifold learning are overcome. Simultaneously, class discrimination information is integrated within the dimension reduction process in a semi-supervised manner to improve sensitivity of the extracted fusion features. Lastly, the extracted fusion features are inputted into a pattern recognition algorithm to achieve the running state identification. The effectiveness of the proposed method is verified by a running state identification case in a gearbox, and the results confirm the improved accuracy of the running state identification.

  10. Approximation methods for inverse problems involving the vibration of beams with tip bodies

    NASA Technical Reports Server (NTRS)

    Rosen, I. G.

    1984-01-01

    Two cubic spline based approximation schemes for the estimation of structural parameters associated with the transverse vibration of flexible beams with tip appendages are outlined. The identification problem is formulated as a least squares fit to data subject to the system dynamics which are given by a hybrid system of coupled ordinary and partial differential equations. The first approximation scheme is based upon an abstract semigroup formulation of the state equation while a weak/variational form is the basis for the second. Cubic spline based subspaces together with a Rayleigh-Ritz-Galerkin approach were used to construct sequences of easily solved finite dimensional approximating identification problems. Convergence results are briefly discussed and a numerical example demonstrating the feasibility of the schemes and exhibiting their relative performance for purposes of comparison is provided.

  11. Optimal error functional for parameter identification in anisotropic finite strain elasto-plasticity

    NASA Astrophysics Data System (ADS)

    Shutov, A. V.; Kaygorodtseva, A. A.; Dranishnikov, N. S.

    2017-10-01

    A problem of parameter identification for a model of finite strain elasto-plasticity is discussed. The utilized phenomenological material model accounts for nonlinear isotropic and kinematic hardening; the model kinematics is described by a nested multiplicative split of the deformation gradient. A hierarchy of optimization problems is considered. First, following the standard procedure, the material parameters are identified through minimization of a certain least square error functional. Next, the focus is placed on finding optimal weighting coefficients which enter the error functional. Toward that end, a stochastic noise with systematic and non-systematic components is introduced to the available measurement results; a superordinate optimization problem seeks to minimize the sensitivity of the resulting material parameters to the introduced noise. The advantage of this approach is that no additional experiments are required; it also provides an insight into the robustness of the identification procedure. As an example, experimental data for the steel 42CrMo4 are considered and a set of weighting coefficients is found, which is optimal in a certain class.

  12. A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems.

    PubMed

    Ayvaz, M Tamer

    2010-09-20

    This study proposes a linked simulation-optimization model for solving the unknown groundwater pollution source identification problems. In the proposed model, MODFLOW and MT3DMS packages are used to simulate the flow and transport processes in the groundwater system. These models are then integrated with an optimization model which is based on the heuristic harmony search (HS) algorithm. In the proposed simulation-optimization model, the locations and release histories of the pollution sources are treated as the explicit decision variables and determined through the optimization model. Also, an implicit solution procedure is proposed to determine the optimum number of pollution sources which is an advantage of this model. The performance of the proposed model is evaluated on two hypothetical examples for simple and complex aquifer geometries, measurement error conditions, and different HS solution parameter sets. Identified results indicated that the proposed simulation-optimization model is an effective way and may be used to solve the inverse pollution source identification problems. Copyright (c) 2010 Elsevier B.V. All rights reserved.

  13. Steganalysis feature improvement using expectation maximization

    NASA Astrophysics Data System (ADS)

    Rodriguez, Benjamin M.; Peterson, Gilbert L.; Agaian, Sos S.

    2007-04-01

    Images and data files provide an excellent opportunity for concealing illegal or clandestine material. Currently, there are over 250 different tools which embed data into an image without causing noticeable changes to the image. From a forensics perspective, when a system is confiscated or an image of a system is generated the investigator needs a tool that can scan and accurately identify files suspected of containing malicious information. The identification process is termed the steganalysis problem which focuses on both blind identification, in which only normal images are available for training, and multi-class identification, in which both the clean and stego images at several embedding rates are available for training. In this paper an investigation of a clustering and classification technique (Expectation Maximization with mixture models) is used to determine if a digital image contains hidden information. The steganalysis problem is for both anomaly detection and multi-class detection. The various clusters represent clean images and stego images with between 1% and 10% embedding percentage. Based on the results it is concluded that the EM classification technique is highly suitable for both blind detection and the multi-class problem.

  14. Strategies in Forecasting Outcomes in Ethical Decision-making: Identifying and Analyzing the Causes of the Problem

    PubMed Central

    Beeler, Cheryl K.; Antes, Alison L.; Wang, Xiaoqian; Caughron, Jared J.; Thiel, Chase E.; Mumford, Michael D.

    2010-01-01

    This study examined the role of key causal analysis strategies in forecasting and ethical decision-making. Undergraduate participants took on the role of the key actor in several ethical problems and were asked to identify and analyze the causes, forecast potential outcomes, and make a decision about each problem. Time pressure and analytic mindset were manipulated while participants worked through these problems. The results indicated that forecast quality was associated with decision ethicality, and the identification of the critical causes of the problem was associated with both higher quality forecasts and higher ethicality of decisions. Neither time pressure nor analytic mindset impacted forecasts or ethicality of decisions. Theoretical and practical implications of these findings are discussed. PMID:20352056

  15. Identification of Handicapped Students (Ages 12-17) Using Data from Teachers, Parents and Tests.

    ERIC Educational Resources Information Center

    Malgoire, Mary A.; And Others

    The report examines the identification of potentially handicapping conditions in an adolescent population using data from the National Center for Health Statistics' survey (approximatey 8,000 adolescents selected in 1968). Identification of the following disabilities were examined: hearing impairment, vision problems, orthopedic handicaps, mental…

  16. Linking Complex Problem Solving to Opportunity Identification Competence within the Context of Entrepreneurship

    ERIC Educational Resources Information Center

    Baggen, Yvette; Mainert, Jakob; Lans, Thomas; Biemans, Harm J. A.; Greiff, Samuel; Mulder, Martin

    2015-01-01

    Today's working life is increasingly characterized by entrepreneurial challenges. Entrepreneurial challenges start at an individual level with the identification of entrepreneurial opportunities, which is acknowledged as one of the key competencies for lifelong learning. Since the identification of entrepreneurial opportunities relies heavily on…

  17. Natural Language Sourcebook

    DTIC Science & Technology

    1990-01-01

    Identification of Syntactic Units Exemplar I.A. (#l) Problem (1) The tough coach the young. (2) The tough coach married a star. (3) The tough coach married ...34the tough" vs. "the tough coach" and (b) "people" vs. " married people." The problem could also be considered a problem of determining lexical...and " married " in example (2). Once the parser specifies a verb, the structure of the rest of the sentence is determined: specifying "coach" as a

  18. Solving a product safety problem using a recycled high density polyethylene container

    NASA Technical Reports Server (NTRS)

    Liu, Ping; Waskom, T. L.

    1993-01-01

    The objectives are to introduce basic problem-solving techniques for product safety including problem identification, definition, solution criteria, test process and design, and data analysis. The students are given a recycled milk jug made of high density polyethylene (HDPE) by blow molding. The objectives are to design and perform proper material test(s) so they can evaluate the product safety if the milk jug is used in a certain way which is specified in the description of the procedure for this investigation.

  19. Fast metabolite identification with Input Output Kernel Regression.

    PubMed

    Brouard, Céline; Shen, Huibin; Dührkop, Kai; d'Alché-Buc, Florence; Böcker, Sebastian; Rousu, Juho

    2016-06-15

    An important problematic of metabolomics is to identify metabolites using tandem mass spectrometry data. Machine learning methods have been proposed recently to solve this problem by predicting molecular fingerprint vectors and matching these fingerprints against existing molecular structure databases. In this work we propose to address the metabolite identification problem using a structured output prediction approach. This type of approach is not limited to vector output space and can handle structured output space such as the molecule space. We use the Input Output Kernel Regression method to learn the mapping between tandem mass spectra and molecular structures. The principle of this method is to encode the similarities in the input (spectra) space and the similarities in the output (molecule) space using two kernel functions. This method approximates the spectra-molecule mapping in two phases. The first phase corresponds to a regression problem from the input space to the feature space associated to the output kernel. The second phase is a preimage problem, consisting in mapping back the predicted output feature vectors to the molecule space. We show that our approach achieves state-of-the-art accuracy in metabolite identification. Moreover, our method has the advantage of decreasing the running times for the training step and the test step by several orders of magnitude over the preceding methods. celine.brouard@aalto.fi Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

  20. Fast metabolite identification with Input Output Kernel Regression

    PubMed Central

    Brouard, Céline; Shen, Huibin; Dührkop, Kai; d'Alché-Buc, Florence; Böcker, Sebastian; Rousu, Juho

    2016-01-01

    Motivation: An important problematic of metabolomics is to identify metabolites using tandem mass spectrometry data. Machine learning methods have been proposed recently to solve this problem by predicting molecular fingerprint vectors and matching these fingerprints against existing molecular structure databases. In this work we propose to address the metabolite identification problem using a structured output prediction approach. This type of approach is not limited to vector output space and can handle structured output space such as the molecule space. Results: We use the Input Output Kernel Regression method to learn the mapping between tandem mass spectra and molecular structures. The principle of this method is to encode the similarities in the input (spectra) space and the similarities in the output (molecule) space using two kernel functions. This method approximates the spectra-molecule mapping in two phases. The first phase corresponds to a regression problem from the input space to the feature space associated to the output kernel. The second phase is a preimage problem, consisting in mapping back the predicted output feature vectors to the molecule space. We show that our approach achieves state-of-the-art accuracy in metabolite identification. Moreover, our method has the advantage of decreasing the running times for the training step and the test step by several orders of magnitude over the preceding methods. Availability and implementation: Contact: celine.brouard@aalto.fi Supplementary information: Supplementary data are available at Bioinformatics online. PMID:27307628

  1. Identification of cloud fields by the nonparametric algorithm of pattern recognition from normalized video data recorded with the AVHRR instrument

    NASA Astrophysics Data System (ADS)

    Protasov, Konstantin T.; Pushkareva, Tatyana Y.; Artamonov, Evgeny S.

    2002-02-01

    The problem of cloud field recognition from the NOAA satellite data is urgent for solving not only meteorological problems but also for resource-ecological monitoring of the Earth's underlying surface associated with the detection of thunderstorm clouds, estimation of the liquid water content of clouds and the moisture of the soil, the degree of fire hazard, etc. To solve these problems, we used the AVHRR/NOAA video data that regularly displayed the situation in the territory. The complexity and extremely nonstationary character of problems to be solved call for the use of information of all spectral channels, mathematical apparatus of testing statistical hypotheses, and methods of pattern recognition and identification of the informative parameters. For a class of detection and pattern recognition problems, the average risk functional is a natural criterion for the quality and the information content of the synthesized decision rules. In this case, to solve efficiently the problem of identifying cloud field types, the informative parameters must be determined by minimization of this functional. Since the conditional probability density functions, representing mathematical models of stochastic patterns, are unknown, the problem of nonparametric reconstruction of distributions from the leaning samples arises. To this end, we used nonparametric estimates of distributions with the modified Epanechnikov kernel. The unknown parameters of these distributions were determined by minimization of the risk functional, which for the learning sample was substituted by the empirical risk. After the conditional probability density functions had been reconstructed for the examined hypotheses, a cloudiness type was identified using the Bayes decision rule.

  2. Cause-and-effect analysis of risk management files to assess patient care in the emergency department.

    PubMed

    White, Andrew A; Wright, Seth W; Blanco, Roberto; Lemonds, Brent; Sisco, Janice; Bledsoe, Sandy; Irwin, Cindy; Isenhour, Jennifer; Pichert, James W

    2004-10-01

    Identifying the etiologies of adverse outcomes is an important first step in improving patient safety and reducing malpractice risks. However, relatively little is known about the causes of emergency department-related adverse outcomes. The objective was to describe a method for identification of common causes of adverse outcomes in an emergency department. This methodology potentially can suggest ways to improve care and might provide a model for identification of factors associated with adverse outcomes. This was a retrospective analysis of 74 consecutive files opened by a malpractice insurer between 1995 and 2000. Each risk-management file was analyzed to identify potential causes of adverse outcomes. The main outcomes were rater-assigned codes for alleged problems with care (e.g., failures of communication or problems related to diagnosis). About 50% of cases were related to injuries or abdominal complaints. A contributing cause was found in 92% of cases, and most had more than one contributing cause. The most frequent contributing categories included failure to diagnose (45%), supervision problems (31%), communication problems (30%), patient behavior (24%), administrative problems (20%), and documentation (20%). Specific relating factors within these categories, such as lack of timely resident supervision and failure to follow policies and procedures, were identified. This project documented that an aggregate analysis of risk-management files has the potential to identify shared causes related to real or perceived adverse outcomes. Several potentially correctable systems problems were identified using this methodology. These simple, descriptive management tools may be useful in identifying issues for problem solving and can be easily learned by physicians and managers.

  3. Setting health priorities in a community: a case example

    PubMed Central

    Sousa, Fábio Alexandre Melo do Rego; Goulart, Maria José Garcia; Braga, Antonieta Manuela dos Santos; Medeiros, Clara Maria Oliveira; Rego, Débora Cristina Martins; Vieira, Flávio Garcia; Pereira, Helder José Alves da Rocha; Tavares, Helena Margarida Correia Vicente; Loura, Marta Maria Puim

    2017-01-01

    ABSTRACT OBJECTIVE To describe the methodology used in the process of setting health priorities for community intervention in a community of older adults. METHODS Based on the results of a health diagnosis related to active aging, a prioritization process was conceived to select the priority intervention problem. The process comprised four successive phases of problem analysis and classification: (1) grouping by level of similarity, (2) classification according to epidemiological criteria, (3) ordering by experts, and (4) application of the Hanlon method. These stages combined, in an integrated manner, the views of health team professionals, community nursing and gerontology experts, and the actual community. RESULTS The first stage grouped the identified problems by level of similarity, comprising a body of 19 issues for analysis. In the second stage these problems were classified by the health team members by epidemiological criteria (size, vulnerability, and transcendence). The nine most relevant problems resulting from the second stage of the process were submitted to expert analysis and the five most pertinent problems were selected. The last step identified the priority issue for intervention in this specific community with the participation of formal and informal community leaders: Low Social Interaction in Community Participation. CONCLUSIONS The prioritization process is a key step in health planning, enabling the identification of priority problems to intervene in a given community at a given time. There are no default formulas for selecting priority issues. It is up to each community intervention team to define its own process with different methods/techniques that allow the identification of and intervention in needs classified as priority by the community. PMID:28273229

  4. Reframing a Problem: Identifying the Sources of Conflict in a Teacher Education Course

    ERIC Educational Resources Information Center

    Quebec Fuentes, Sarah; Bloom, Mark

    2017-01-01

    This article exemplifies the critical initial phase of action research, problem identification, in the context of a teacher education course. After frustration arose between preservice elementary teachers (PSTs) and their instructor over classwork quality, the instructor employed reflective journaling and discussions to examine the source of the…

  5. Identification of Social-Emotional Problems among Young Children in Foster Care

    ERIC Educational Resources Information Center

    Jee, Sandra H.; Conn, Anne-Marie; Szilagyi, Peter G.; Blumkin, Aaron; Baldwin, Constance D.; Szilagyi, Moira A.

    2010-01-01

    Background: Little is known about how best to implement behavioral screening recommendations in practice, especially for children in foster care, who are at risk for having social-emotional problems. Two validated screening tools are recommended for use with young children: the Ages and Stages Questionnaire: Social Emotional (ASQ-SE) identifies…

  6. Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem.

    ERIC Educational Resources Information Center

    Horrace, William C.; Oaxaca, Ronald L.

    2001-01-01

    States that a method for estimating gender wage gaps by industry yields estimates that vary according to arbitrary choice of omitted reference groups. Suggests alternative methods not susceptible to this problem that can be applied to other contexts, such as racial, union/nonunion, and immigrant/native wage differences. (SK)

  7. Constructing New Theory for Identifying Students with Emotional Disturbance: A Grounded Theory Approach

    ERIC Educational Resources Information Center

    Barnett, Dori A.

    2010-01-01

    The problem area explored by this study is the identification of students with emotional and behavioral difficulties for special education supports and services under the criteria for emotional disturbance (ED). A review of the literature indicated that the problem of identifying students with ED was compounded by subjectivity and ambiguity…

  8. Adolescents' Suicidal Thinking and Reluctance to Consult General Medical Practitioners

    ERIC Educational Resources Information Center

    Wilson, Coralie J.; Deane, Frank P.; Marshall, Kellie L.; Dalley, Andrew

    2010-01-01

    Appropriate help-seeking is widely recognized as a protective factor, and vital for early treatment and prevention of mental health problems during adolescence. General medical practitioners (GPs), that is, family doctors, provide a vital role in the identification of adolescents with mental health problems and the provision of treatment as well…

  9. Identification of Preschool Children with Emotional Problems.

    ERIC Educational Resources Information Center

    Stern, Carolyn; And Others

    A large-scale study was designed to assess the extent of emotional disturbance among Head Start children and to provide a consistent basis for selection if therapeutic intervention were indicated. The study's aim was to avoid the problem of shifting baselines by individual teachers for determining the degree to which their children were departing…

  10. Managing Risk on the Final Frontier

    NASA Technical Reports Server (NTRS)

    Lengyel, David M.; Newman, J. S.

    2009-01-01

    The National Aeronautics and Space Administration (NASA). Exploration Systems Mission Directorate (ESMD) has combined the Continuous Risk Management (CRM) discipline with innovative knowledge management (KM) practices to more effectively enable the accomplishment of work. CRM enables proactive problem identification and problem solving in the complex world of rocket science. while KM is used to improve this process.

  11. The Nurses' Knowledge and Attitudes towards the Palliative Care

    ERIC Educational Resources Information Center

    Ayed, Ahmad; Sayej, Sumaya; Harazneh, Lubna; Fashafsheh, Imad; Eqtait, Faeda

    2015-01-01

    Background: Palliative care (PC) is an approach that improves the quality of life of patients and their families facing the problem associated with life-threatening illness through the prevention and relief of suffering by means of early identification, impeccable assessment and treatment of pain and other problems like physical, psychosocial and…

  12. 40 CFR 52.74 - Original identification of plan section.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Governor of Alaska on January 18, 1980 as follows: Volume II. Analysis of Problems, Control Actions Section... requirements of Air Quality Monitoring, 40 CFR part 58, subpart C, § 58.20, as follows: Volume II. Analysis of Problems, Control Actions Section V. Ambient Air Monitoring A. Purpose C. Air Monitoring Network E. Annual...

  13. 40 CFR 52.70 - Identification of plan.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... submitted by the Governor of Alaska on January 18, 1980 as follows: Volume II. Analysis of Problems, Control... requirements of Air Quality Monitoring, 40 CFR part 58, subpart C, § 58.20, as follows: Volume II. Analysis of Problems, Control Actions Section V. Ambient Air Monitoring A. Purpose C. Air Monitoring Network E. Annual...

  14. Advances in Preventing Childhood and Adolescent Problem Behavior

    ERIC Educational Resources Information Center

    Jenson, Jeffrey M.

    2010-01-01

    Recent advances in the field of prevention have led to a deeper understanding of the causes of adolescent problem behavior and to the identification of efficacious strategies to prevent delinquency, drug use, and other antisocial conduct. This 2009 Aaron Rosen lecture to members of the "Society for Social Work and Research" traces the evolution of…

  15. 78 FR 3433 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-16

    ... and by educating the public, especially young people, about tobacco products and the dangers their use... identified. When FDA receives tobacco-specific adverse event and product problem information, it will use the... quality problem, or product use error occurs. This risk identification process is the first necessary step...

  16. Mass Screening for Severe Problem Behavior among Infants and Toddlers in Peru

    ERIC Educational Resources Information Center

    Mayo-Ortega, Liliana; Oyama-Ganiko, Rosa; Leblanc, Judith; Schroeder, Stephen R.; Brady, Nancy; Butler, Merlin G.; Reese, R. Matthew; Richman, David M.; Peacock, Georgina; Foster, Jessica; Marquis, Janet

    2012-01-01

    Severe behavior problems among people with intellectual and developmental disabilities (IDD) are a major barrier to integration in the community. Recent research suggests that these behaviors often begin very early in life and might be prevented by early identification and intervention (Rojahn, Schroeder, & Hoch, 2008). The current article…

  17. Screening/Assessing Students: Indicators and Tools. A Resources Aid Packet.

    ERIC Educational Resources Information Center

    California Univ., Los Angeles. Center for Mental Health in Schools.

    This resource aid is designed to provide some materials relevant to screening students experiencing mental health, psychosocial, and substance abuse problems. Section 1, "Initial Problem Identification," is a summary of indicators designed for use as a handout. An overview that can be used to educate staff, older students, and parents on…

  18. Validity of the MicroDYN Approach: Complex Problem Solving Predicts School Grades beyond Working Memory Capacity

    ERIC Educational Resources Information Center

    Schweizer, Fabian; Wustenberg, Sascha; Greiff, Samuel

    2013-01-01

    This study examines the validity of the complex problem solving (CPS) test MicroDYN by investigating a) the relation between its dimensions--rule identification (exploration strategy), rule knowledge (acquired knowledge), rule application (control performance)--and working memory capacity (WMC), and b) whether CPS predicts school grades in…

  19. Identification of Which High Risk Youth Smoke Cigarettes Regularly.

    ERIC Educational Resources Information Center

    Sussman, Steve; And Others

    This study investigated whether or not high or low risk youths differed on previous items discriminative of problem-prone youth, particularly problem-prone attitudes and preferences, and social and environmental smoking. In addition, the study examined whether high or low use youths differed on items related to a health orientation including…

  20. Identification the Relation between Active Basketball Classification Referees' Empathetic Tendencies and Their Problem Solving Abilities

    ERIC Educational Resources Information Center

    Karaçam, Aydin; Pulur, Atilla

    2016-01-01

    This study aims to determine the relation between basketball classification referees' problem solving ability and empathetic tendencies. Research model of the study is relational screening model. Sampling of the study is constituted by 124 male and 18 female basketball classification referees who made active refereeing within Turkish Basketball…

  1. Reverse engineering a social agent-based hidden markov model--visage.

    PubMed

    Chen, Hung-Ching Justin; Goldberg, Mark; Magdon-Ismail, Malik; Wallace, William A

    2008-12-01

    We present a machine learning approach to discover the agent dynamics that drives the evolution of the social groups in a community. We set up the problem by introducing an agent-based hidden Markov model for the agent dynamics: an agent's actions are determined by micro-laws. Nonetheless, We learn the agent dynamics from the observed communications without knowing state transitions. Our approach is to identify the appropriate micro-laws corresponding to an identification of the appropriate parameters in the model. The model identification problem is then formulated as a mixed optimization problem. To solve the problem, we develop a multistage learning process for determining the group structure, the group evolution, and the micro-laws of a community based on the observed set of communications among actors, without knowing the semantic contents. Finally, to test the quality of our approximations and the feasibility of the approach, we present the results of extensive experiments on synthetic data as well as the results on real communities, such as Enron email and Movie newsgroups. Insight into agent dynamics helps us understand the driving forces behind social evolution.

  2. Nonshared environmental influences on teacher-reported behaviour problems: Monozygotic twin differences in perceptions of the classroom

    PubMed Central

    Oliver, Bonamy R.; Pike, Alison; Plomin, Robert

    2014-01-01

    Background The identification of specific nonshared environments responsible for the variance in behaviour problems is a key challenge. Methods Nonshared environmental influences on teacher-reported behaviour problems were explored independently of genetics using the monozygotic (MZ) twin differences design. Six aspects of classroom environment were rated by a representative sample of 570 nine-year-old MZ twins in the UK in different classrooms and were related to their different teachers’ reports of prosocial behaviour, hyperactivity, conduct problems, peer problems and emotional symptoms. Results Within-pair differences in perceptions of the classroom were significantly correlated with teacher-reported behaviour problems, indicating children with less favourable perceptions of their classroom environment were reported by their teachers as less prosocial, more hyperactive, and to have more conduct and peer problems. Socioeconomic status did not significantly moderate any of these relationships. However, parent-reported household chaos was a significant moderator. Conclusions The classroom environment is related to behaviour problems even when genetic factors are held constant. Classroom environment is more strongly associated with behaviour problems when the home environment is more chaotic. PMID:18355217

  3. Contextual approach to technology assessment: Implications for one-factor fix solutions to complex social problems

    NASA Technical Reports Server (NTRS)

    Mayo, L. H.

    1975-01-01

    The contextual approach is discussed which undertakes to demonstrate that technology assessment assists in the identification of the full range of implications of taking a particular action and facilitates the consideration of alternative means by which the total affected social problem context might be changed by available project options. It is found that the social impacts of an application on participants, institutions, processes, and social interests, and the accompanying interactions may not only induce modifications in the problem contest delineated for examination with respect to the design, operations, regulation, and use of the posited application, but also affect related social problem contexts.

  4. Damage identification using inverse methods.

    PubMed

    Friswell, Michael I

    2007-02-15

    This paper gives an overview of the use of inverse methods in damage detection and location, using measured vibration data. Inverse problems require the use of a model and the identification of uncertain parameters of this model. Damage is often local in nature and although the effect of the loss of stiffness may require only a small number of parameters, the lack of knowledge of the location means that a large number of candidate parameters must be included. This paper discusses a number of problems that exist with this approach to health monitoring, including modelling error, environmental effects, damage localization and regularization.

  5. Technical management techniques for identification and control of industrial safety and pollution hazards

    NASA Technical Reports Server (NTRS)

    Campbell, R.; Dyer, M. K.; Hoard, E. G.; Little, D. G.; Taylor, A. C.

    1972-01-01

    Constructive recommendations are suggested for pollution problems from offshore energy resources industries on outer continental shelf. Technical management techniques for pollution identification and control offer possible applications to space engineering and management.

  6. Numerical Experimentation with Maximum Likelihood Identification in Static Distributed Systems

    NASA Technical Reports Server (NTRS)

    Scheid, R. E., Jr.; Rodriguez, G.

    1985-01-01

    Many important issues in the control of large space structures are intimately related to the fundamental problem of parameter identification. One might also ask how well this identification process can be carried out in the presence of noisy data since no sensor system is perfect. With these considerations in mind the algorithms herein are designed to treat both the case of uncertainties in the modeling and uncertainties in the data. The analytical aspects of maximum likelihood identification are considered in some detail in another paper. The questions relevant to the implementation of these schemes are dealt with, particularly as they apply to models of large space structures. The emphasis is on the influence of the infinite dimensional character of the problem on finite dimensional implementations of the algorithms. Those areas of current and future analysis are highlighted which indicate the interplay between error analysis and possible truncations of the state and parameter spaces.

  7. Model correlation and damage location for large space truss structures: Secant method development and evaluation

    NASA Technical Reports Server (NTRS)

    Smith, Suzanne Weaver; Beattie, Christopher A.

    1991-01-01

    On-orbit testing of a large space structure will be required to complete the certification of any mathematical model for the structure dynamic response. The process of establishing a mathematical model that matches measured structure response is referred to as model correlation. Most model correlation approaches have an identification technique to determine structural characteristics from the measurements of the structure response. This problem is approached with one particular class of identification techniques - matrix adjustment methods - which use measured data to produce an optimal update of the structure property matrix, often the stiffness matrix. New methods were developed for identification to handle problems of the size and complexity expected for large space structures. Further development and refinement of these secant-method identification algorithms were undertaken. Also, evaluation of these techniques is an approach for model correlation and damage location was initiated.

  8. Lost in translation: Review of identification bias, translation bias and research waste in dentistry.

    PubMed

    Layton, Danielle M; Clarke, Michael

    2016-01-01

    To review how articles are retrieved from bibliographic databases, what article identification and translation problems have affected research, and how these problems can contribute to research waste and affect clinical practice. This literature review sought and appraised articles regarding identification- and translation-bias in the medical and dental literature, which limit the ability of users to find research articles and to use these in practice. Articles can be retrieved from bibliographic databases by performing a word or index-term (for example, MeSH for MEDLINE) search. Identification of articles is challenging when it is not clear which words are most relevant, and which terms have been allocated to indexing fields. Poor reporting quality of abstracts and articles has been reported across the medical literature at large. Specifically in dentistry, research regarding time-to-event survival analyses found the allocation of MeSH terms to be inconsistent and inaccurate, important words were omitted from abstracts by authors, and the quality of reporting in the body of articles was generally poor. These shortcomings mean that articles will be difficult to identify, and difficult to understand if found. Use of specialized electronic search strategies can decrease identification bias, and use of tailored reporting guidelines can decrease translation bias. Research that cannot be found, or cannot be used results in research waste, and undermines clinical practice. Identification- and translation-bias have been shown to affect time-to-event dental articles, are likely affect other fields of research, and are largely unrecognized by authors and evidence seekers alike. By understanding that the problems exist, solutions can be sought to improve identification and translation of our research. Copyright © 2015 Academy of Dental Materials. Published by Elsevier Ltd. All rights reserved.

  9. Expertise and age differences in pilot decision making.

    PubMed

    Morrow, Daniel G; Miller, Lisa M Soederberg; Ridolfo, Heather E; Magnor, Clifford; Fischer, Ute M; Kokayeff, Nina K; Stine-Morrow, Elizabeth A L

    2009-01-01

    We examined the influence of age and expertise on pilot decision making. Older and younger expert and novice pilots read at their own pace scenarios describing simpler or more complex flight situations. Then in a standard interview they discussed the scenario problem and how they would respond. Protocols were coded for identification of problem and solutions to this problem, and frequency of elaborations on problem and solution. Scenario comprehension was measured as differential reading time allocation to problem-critical information and scenario memory by the accuracy of answering questions about the scenarios after the interview. All groups accurately identified the problems, but experts elaborated problem descriptions more than novices did. Experts also spent more time reading critical information in the complex scenarios, which may reflect time needed to develop elaborate situation models of the problems. Expertise comprehension benefits were similar for older and younger pilots. Older experts were especially likely to elaborate the problem compared to younger experts, while older novices were less likely to elaborate the problem and to identify appropriate solutions compared to their younger counterparts. The findings suggest age invariance in knowledge-based comprehension relevant to pilot decision making.

  10. Diagnostic problems associated with cadaveric trauma from animal activity.

    PubMed

    Byard, Roger W; James, Ross A; Gilbert, John D

    2002-09-01

    Analysis of a series of deaths between 1986 and 2001 resulting from natural disease, accidents, suicides, and homicide, where postmortem animal activity had traumatized bodies, was undertaken at the Forensic Science Center in Adelaide to demonstrate the range of lesions that may occur and problems in interpretation that result. Tissue damage had been caused by a variety of animals, including fly larvae, ants, birds, dogs, rodents, sea lice, and sharks. Postmortem animal activity had disguised injuries, modified wounds, and created the appearances of inflicted injury. Problems with identification occurred after postmortem facial trauma, and loss of organ parenchyma had interfered with, or precluded, the precise determination of the manner of death in some cases. Specific kinds of tissue and organ damage may occur after death, necessitating careful assessment of lesions in a search for characteristic features of animal activity. The pattern of lesions may enable identification of the particular species of animal involved.

  11. Role of Referrals in Mental Health Service Disparities for Racial and Ethnic Minority Youth

    ERIC Educational Resources Information Center

    Alegria, Margarita; Lin, Julia Y.; Green, Jennifer Greif; Sampson, Nancy A.; Gruber, Michael J.; Kessler, Ronald C.

    2012-01-01

    Objective: To investigate racial/ethnic differences in teachers' and other adults' identification and/or encouragement of parents to seek treatment for psychiatric problems in their children and to evaluate if and whether identification/encouragement is associated with service use. Method: Data on identification/encouragement to seek treatment for…

  12. Identification of Successive ``Unobservable'' Cyber Data Attacks in Power Systems Through Matrix Decomposition

    NASA Astrophysics Data System (ADS)

    Gao, Pengzhi; Wang, Meng; Chow, Joe H.; Ghiocel, Scott G.; Fardanesh, Bruce; Stefopoulos, George; Razanousky, Michael P.

    2016-11-01

    This paper presents a new framework of identifying a series of cyber data attacks on power system synchrophasor measurements. We focus on detecting "unobservable" cyber data attacks that cannot be detected by any existing method that purely relies on measurements received at one time instant. Leveraging the approximate low-rank property of phasor measurement unit (PMU) data, we formulate the identification problem of successive unobservable cyber attacks as a matrix decomposition problem of a low-rank matrix plus a transformed column-sparse matrix. We propose a convex-optimization-based method and provide its theoretical guarantee in the data identification. Numerical experiments on actual PMU data from the Central New York power system and synthetic data are conducted to verify the effectiveness of the proposed method.

  13. Continuous-time system identification of a smoking cessation intervention

    NASA Astrophysics Data System (ADS)

    Timms, Kevin P.; Rivera, Daniel E.; Collins, Linda M.; Piper, Megan E.

    2014-07-01

    Cigarette smoking is a major global public health issue and the leading cause of preventable death in the United States. Toward a goal of designing better smoking cessation treatments, system identification techniques are applied to intervention data to describe smoking cessation as a process of behaviour change. System identification problems that draw from two modelling paradigms in quantitative psychology (statistical mediation and self-regulation) are considered, consisting of a series of continuous-time estimation problems. A continuous-time dynamic modelling approach is employed to describe the response of craving and smoking rates during a quit attempt, as captured in data from a smoking cessation clinical trial. The use of continuous-time models provide benefits of parsimony, ease of interpretation, and the opportunity to work with uneven or missing data.

  14. Cross-domain latent space projection for person re-identification

    NASA Astrophysics Data System (ADS)

    Pu, Nan; Wu, Song; Qian, Li; Xiao, Guoqiang

    2018-04-01

    In this paper, we research the problem of person re-identification and propose a cross-domain latent space projection (CDLSP) method to address the problems of the absence or insufficient labeled data in the target domain. Under the assumption that the visual features in the source domain and target domain share the similar geometric structure, we transform the visual features from source domain and target domain to a common latent space by optimizing the object function defined in the manifold alignment method. Moreover, the proposed object function takes into account the specific knowledge in the re-id with the aim to improve the performance of re-id under complex situations. Extensive experiments conducted on four benchmark datasets show the proposed CDLSP outperforms or is competitive with stateof- the-art methods for person re-identification.

  15. Updates on information about free-living marine nematodes in Brazil: new records and comments on problems in taxonomic studies.

    PubMed

    Venekey, Virág

    2017-10-17

    New records of nematode species in Brazil, which appeared after or were not mentioned in the last review, are shown in this paper. All environments were considered, including the continental margin. In addition, all studies on marine nematodes in Brazil, including grey literature, ecological papers and book chapters, are listed. Furthermore, information on genera/species richness, dominant genera, and densities is also presented. A total of 11 orders, 72 families, 372 genera, and 450 species of nematodes were recorded in Brazilian marine environments by April 2017. Following problems are discussed: taxonomic lists available only in grey literature, use of outdated identification keys (leading to incorrect identifications), and identifications mostly to putative species or to the genus level.

  16. Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm.

    PubMed

    Sarode, Ketan Dinkar; Kumar, V Ravi; Kulkarni, B D

    2016-05-01

    An efficient inverse problem approach for parameter estimation, state and structure identification from dynamic data by embedding training functions in a genetic algorithm methodology (ETFGA) is proposed for nonlinear dynamical biosystems using S-system canonical models. Use of multiple shooting and decomposition approach as training functions has been shown for handling of noisy datasets and computational efficiency in studying the inverse problem. The advantages of the methodology are brought out systematically by studying it for three biochemical model systems of interest. By studying a small-scale gene regulatory system described by a S-system model, the first example demonstrates the use of ETFGA for the multifold aims of the inverse problem. The estimation of a large number of parameters with simultaneous state and network identification is shown by training a generalized S-system canonical model with noisy datasets. The results of this study bring out the superior performance of ETFGA on comparison with other metaheuristic approaches. The second example studies the regulation of cAMP oscillations in Dictyostelium cells now assuming limited availability of noisy data. Here, flexibility of the approach to incorporate partial system information in the identification process is shown and its effect on accuracy and predictive ability of the estimated model are studied. The third example studies the phenomenological toy model of the regulation of circadian oscillations in Drosophila that follows rate laws different from S-system power-law. For the limited noisy data, using a priori information about properties of the system, we could estimate an alternate S-system model that showed robust oscillatory behavior with predictive abilities. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. The Contribution of Game Genre and other Use Patterns to Problem Video Game Play among Adult Video Gamers.

    PubMed

    Elliott, Luther; Ream, Geoffrey; McGinsky, Elizabeth; Dunlap, Eloise

    2012-12-01

    AIMS: To assess the contribution of patterns of video game play, including game genre, involvement, and time spent gaming, to problem use symptomatology. DESIGN: Nationally representative survey. SETTING: Online. PARTICIPANTS: Large sample (n=3,380) of adult video gamers in the US. MEASUREMENTS: Problem video game play (PVGP) scale, video game genre typology, use patterns (gaming days in the past month and hours on days used), enjoyment, consumer involvement, and background variables. FINDINGS: Study confirms game genre's contribution to problem use as well as demographic variation in play patterns that underlie problem video game play vulnerability. CONCLUSIONS: Identification of a small group of game types positively correlated with problem use suggests new directions for research into the specific design elements and reward mechanics of "addictive" video games. Unique vulnerabilities to problem use among certain groups demonstrate the need for ongoing investigation of health disparities related to contextual dimensions of video game play.

  18. Preschoolers' psychosocial problems: in the eyes of the beholder? Adding teacher characteristics as determinants of discrepant parent-teacher reports.

    PubMed

    Berg-Nielsen, Turid Suzanne; Solheim, Elisabet; Belsky, Jay; Wichstrom, Lars

    2012-06-01

    In this study, we explored informant characteristics as determinants of parent-teacher disagreement on preschoolers' psychosocial problems. Teacher characteristics were included in the analyses, in addition to child and parent factors. Psychosocial problems of 732 4-year olds from a Norwegian community sample were assessed by parents and teachers (CBCL-TRF). Furthermore, teachers reported on their education, experience and relationship to the child. Parental stress and psychopathology were also measured. Teachers rated children considerably lower than their parents did, especially on internalizing problems. When teachers rated more child problems, this was strongly associated with conflict in the teacher-child relationship, which predicted disagreement more than other factors. The highest agreement was on boys' externalizing problems. Girls' behavior was rated much lower by teachers than boys' behavior compared to parents' ratings. Possible teacher perception biases are discussed, such as teacher-child conflict, non-identification of internalizing problems, and same-gender child preference.

  19. A note on the estimation of the Pareto efficient set for multiobjective matrix permutation problems.

    PubMed

    Brusco, Michael J; Steinley, Douglas

    2012-02-01

    There are a number of important problems in quantitative psychology that require the identification of a permutation of the n rows and columns of an n × n proximity matrix. These problems encompass applications such as unidimensional scaling, paired-comparison ranking, and anti-Robinson forms. The importance of simultaneously incorporating multiple objective criteria in matrix permutation applications is well recognized in the literature; however, to date, there has been a reliance on weighted-sum approaches that transform the multiobjective problem into a single-objective optimization problem. Although exact solutions to these single-objective problems produce supported Pareto efficient solutions to the multiobjective problem, many interesting unsupported Pareto efficient solutions may be missed. We illustrate the limitation of the weighted-sum approach with an example from the psychological literature and devise an effective heuristic algorithm for estimating both the supported and unsupported solutions of the Pareto efficient set. © 2011 The British Psychological Society.

  20. The Contribution of Game Genre and other Use Patterns to Problem Video Game Play among Adult Video Gamers

    PubMed Central

    Ream, Geoffrey; McGinsky, Elizabeth; Dunlap, Eloise

    2012-01-01

    Aims To assess the contribution of patterns of video game play, including game genre, involvement, and time spent gaming, to problem use symptomatology. Design Nationally representative survey. Setting Online. Participants Large sample (n=3,380) of adult video gamers in the US. Measurements Problem video game play (PVGP) scale, video game genre typology, use patterns (gaming days in the past month and hours on days used), enjoyment, consumer involvement, and background variables. Findings Study confirms game genre's contribution to problem use as well as demographic variation in play patterns that underlie problem video game play vulnerability. Conclusions Identification of a small group of game types positively correlated with problem use suggests new directions for research into the specific design elements and reward mechanics of “addictive” video games. Unique vulnerabilities to problem use among certain groups demonstrate the need for ongoing investigation of health disparities related to contextual dimensions of video game play. PMID:23284310

  1. Problem Definition and Solution Strategies in Dental Practice. Executive Summary, September 19, 1979-October 31, 1980.

    ERIC Educational Resources Information Center

    Dane, J. K.; And Others

    An executive summary of a study designed to investigate the identification and solution of clinical and nonclinical problems in dental practice is presented. The study used a combination of structured group meetings of individuals involved in dentistry and related areas and written workbooks completed by participants. A steering committee advised…

  2. Screening and Diagnostic Procedure for Identification of Adult Learning Problems. 309 Demonstration Project.

    ERIC Educational Resources Information Center

    International Labour Office, Islamabad (Pakistan). Asian and Pacific Skill Development Programme.

    This screening and diagnostic procedure is intended to identify Level 1 adults with specific learning problems. The adults not meeting criteria on the assessments for visual and auditory functions should be referred to proper medical services for full evaluations. A prescriptive teaching program should be specifically designed to meet needs of…

  3. Problem Identification and Task Engagement Using the LIBRE Problem Solving Tool: A Case Study of Three Bilingual Teacher Candidates

    ERIC Educational Resources Information Center

    Guerra, Norma; Castro-Villarreal, Felicia; Cheatham, Nicholas; Claeys, Lorena

    2014-01-01

    Bilingual Latino students engage multiple languages, cultures and environments as they pursue educational and professional goals. For this underrepresented group, pursuing a post-secondary degree is a "lucha" (fight) to negotiate the complex interplay of historical, educational, and cultural variables and achieve academic success.…

  4. The Role of Dynamic Software in the Identification and Construction of Mathematical Relationships

    ERIC Educational Resources Information Center

    Santos-Trigo, Manuel

    2004-01-01

    What features of mathematical thinking do students exhibit when they use dynamic software in their problem solving approaches? To what extent does the systematic use of technology favour students' development of problem solving competences? What type of reasoning do students develop as a result of using a particular tool? This study documents…

  5. Teacher Training Intervention for Early Identification of Common Child Mental Health Problems in Pakistan

    ERIC Educational Resources Information Center

    Hussein, S. A.; Vostanis, P.

    2013-01-01

    School-based interventions involving teacher training programmes have been shown to benefit teachers' ability to identify and manage child mental health problems in developed countries. However, very few studies have been conducted in low-income countries with limited specialist services. The aim of the study was to evaluate the impact of the…

  6. 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…

  7. An Identification of Problems Relating to Federal Procurement of Library Materials Prepared for Commission on Government Procurement.

    ERIC Educational Resources Information Center

    Federal Library Committee, Washington, DC.

    The Federal Library Committee through the Task Force on Procurement Procedures in Federal Libraries is examining all problems and is recommending policies, procedures, and practices which will maximize the efficient procurement of library materials. It is suggested that the vehicle for this investigation be the appropriate Commission on Government…

  8. A Note on the Identification of Common Geographies

    ERIC Educational Resources Information Center

    Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J.

    2017-01-01

    Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…

  9. Person/Situation Selection Research: The Problem of Identifying Salient Situational Dimensions. Research Report No. 13.

    ERIC Educational Resources Information Center

    Schneider, Benjamin

    The study was concerned with the persistent problem in conducting person/situation research--the identification of relevant dimensions or features of the situation. Since the usual strategy for discovering relevant perceptual dimension of organizational life is to ask organizational employees to respond to a set of predetermined questions, this…

  10. Identification of Reading Problems in First Grade within a Response-to-Intervention Framework

    ERIC Educational Resources Information Center

    Speece, Deborah L.; Schatschneider, Christopher; Silverman, Rebecca; Case, Lisa Pericola; Cooper, David H.; Jacobs, Dawn M.

    2011-01-01

    Models of Response to Intervention (RTI) include parameters of assessment and instruction. This study focuses on assessment with the purpose of developing a screening battery that validly and efficiently identifies first-grade children at risk for reading problems. In an RTI model, these children would be candidates for early intervention. We…

  11. Effects of Psychological Distress on Academic Achievement in Brunei Student Teachers: Identification Challenges and Counseling Implications

    ERIC Educational Resources Information Center

    Mundia, Lawrence

    2011-01-01

    Students with psychological and mental health problems are often accorded a low status and priority compared to peers with other disabilities. Recent research indicated that a female Brunei student teacher prematurely left her training program due to unaddressed mental health problems. The present study used a mixed methods approach. The random…

  12. Prevalence of Feeding Related Issues/Difficulties in Taiwanese Children with History of Prematurity, 2003-2006

    ERIC Educational Resources Information Center

    Howe, Tsu-Hsin; Hsu, Chyong-Hsin; Tsai, Mei-Wun

    2010-01-01

    Feeding problems are common problems seen in premature infants following their discharge from the NICU. However, the prevalence of feeding issues and failure to thrive among preterm infants in Taiwan is uncertain. All former studies of prevalence and identifications of feeding issues were from western countries. Those findings are therefore not…

  13. New Technologies in Screening for Disease Risk: Implications for the Worksite and for Health Education.

    ERIC Educational Resources Information Center

    McLeroy, Kenneth R.

    The screening of workers for health problems has been ubiquitous in the worksite for many years. These screening procedures may have ethical and policy implications. Three common types of screening in use include pre-employment, early identification of health problems, and employee monitoring. Pre-employment screening may be used to screen out…

  14. In Swimming Branch, Identification of Family Burden of Families of Mentally Disabled Athletes

    ERIC Educational Resources Information Center

    Nacar, Eyyup; Karahuseyinoglu, M. Fatih; Karatas, Baykal; Altungul, Oguzhan

    2017-01-01

    The families of individuals with Down-syndrome, autism, and mental problem who need for special requirements experience physical problems, tiredness, and antisocial life, which bring additional cost to family budget, from time to time due to difficulties of their children The aim of this study is to identify family burdens charged by kids with…

  15. Creating Community Change to Improve Youth Development: The Communities That Care System

    ERIC Educational Resources Information Center

    Brooke-Weiss, Blaire; Haggerty, Kevin P.; Fagan, Abigail A.; Hawkins, J. David; Cady, Rick

    2008-01-01

    Advances in prevention science in the past 25 years provide important direction for neighborhood and community efforts to improve the lives of youth. Prevention scientists have applied a public health approach to youth problems such as drug use and delinquency, and have shown that these problems can be prevented. The identification of risk and…

  16. Influence of Conduct Problems and Depressive Symptomatology on Adolescent Substance Use: Developmentally Proximal versus Distal Effects

    ERIC Educational Resources Information Center

    Maslowsky, Julie; Schulenberg, John E.; Zucker, Robert A.

    2014-01-01

    The identification of developmentally specific windows at which key predictors of adolescent substance use are most influential is a crucial task for informing the design of appropriately targeted substance use prevention and intervention programs. The current study examined effects of conduct problems and depressive symptomatology on changes in…

  17. Multivariate Epi-splines and Evolving Function Identification Problems

    DTIC Science & Technology

    2015-04-15

    such extrinsic information as well as observed function and subgradient values often evolve in applications, we establish conditions under which the...previous study [30] dealt with compact intervals of IR. Splines are intimately tied to optimization problems through their variational theory pioneered...approxima- tion. Motivated by applications in curve fitting, regression, probability density estimation, variogram computation, financial curve construction

  18. ALCOHOL USE, DEPRESSION, AND HIGH RISK OCCUPATIONS AMONG YOUNG ADULTS IN THE UKRAINE

    PubMed Central

    Polshkova, S.; Chaban, O; Walton, MA

    2016-01-01

    This study examined alcohol consumption in relation to anxiety, depression, and involvement with high risk occupations (HRO; e.g., coal miners), among young adults in the Ukraine (aged 18–25) (N=192; 60.9% male; 100% Caucasian). Participants were grouped based on drinking status: (1) current drinkers (CDs; n=132) or (2) nondrinkers (NDs; n=60). Questionnaires assessed frequency of alcohol use, motives for drinking, problem identification, as well as anxiety and depression (i.e., Hamilton scales). Bivariate analyses showed that CDs were more likely than NDs to be single, have a HRO, and have greater anxiety and depression; for example, 91.7% of CDs had a HRO as compared to 56.7 % of NDs. Drinking status was not significantly related to age or gender. Among CDs, common motives for use included: to reduce anxiety and fears (60.6%), because my friends use alcohol (75.0%), to fight stress (78.8%), and to increase self-esteem (64.4%). Among CDs, past month drinking days were: 25% 1–2 days, 37.9% 3–7 days, 25% 8–21 days, and 12.1% 22–30 days. Regarding problem identification, 29.5% reported not having a problem, 34.8% reported possibly having a problem, 21.9% reported having a problem but not needing help, and 13.6% reported having a problem/needing help. Young adults involved in HRO may be a particularly high risk population given increased likelihood of alcohol use, anxiety, and depression. Early intervention strategies that incorporate motivational interviewing approaches to address coping and social motives for use may be beneficial to address substance use and mental health problems. PMID:27144438

  19. Alcohol Use, Depression, and High-Risk Occupations Among Young Adults in the Ukraine.

    PubMed

    Polshkova, Svitlana; Chaban, Oleg; Walton, Maureen A

    2016-06-06

    This study examined alcohol consumption in relation to anxiety, depression, and involvement with high risk occupations (HRO; e.g., coal miners), among young adults in the Ukraine (aged 18-25) (N = 192; 60.9% male; 100% Caucasian). Participants were grouped on the basis of drinking status: (1) current drinkers (CDs; n = 132) or (2) nondrinkers (NDs; n = 60). Questionnaires assessed frequency of alcohol use, motives for drinking, problem identification, as well as anxiety and depression (i.e., Hamilton scales). Bivariate analyses showed that CDs were more likely than NDs to be single, have a HRO, and have greater anxiety and depression; for example, 91.7% of CDs had a HRO as compared to 56.7% of NDs. Drinking status was not significantly related to age or gender. Among CDs, common motives for use included: to reduce anxiety and fears (60.6%), because my friends use alcohol (75.0%), to fight stress (78.8%), and to increase self-esteem (64.4%). Among CDs, past month drinking days were: 25% 1-2 days, 37.9% 3-7 days, 25% 8-21 days, and 12.1% 22-30 days. Regarding problem identification, 29.5% reported not having a problem, 34.8% reported possibly having a problem, 21.9% reported having a problem but not needing help, and 13.6% reported having a problem/needing help. Young adults involved in HRO may be a particularly high risk population given increased likelihood of alcohol use, anxiety, and depression. Early intervention strategies that incorporate motivational interviewing approaches to address coping and social motives for use may be beneficial to address substance use and mental health problems.

  20. Structural damage identification using an enhanced thermal exchange optimization algorithm

    NASA Astrophysics Data System (ADS)

    Kaveh, A.; Dadras, A.

    2018-03-01

    The recently developed optimization algorithm-the so-called thermal exchange optimization (TEO) algorithm-is enhanced and applied to a damage detection problem. An offline parameter tuning approach is utilized to set the internal parameters of the TEO, resulting in the enhanced heat transfer optimization (ETEO) algorithm. The damage detection problem is defined as an inverse problem, and ETEO is applied to a wide range of structures. Several scenarios with noise and noise-free modal data are tested and the locations and extents of damages are identified with good accuracy.

  1. Parametric robust control and system identification: Unified approach

    NASA Technical Reports Server (NTRS)

    Keel, Leehyun

    1994-01-01

    Despite significant advancement in the area of robust parametric control, the problem of synthesizing such a controller is still a wide open problem. Thus, we attempt to give a solution to this important problem. Our approach captures the parametric uncertainty as an H(sub infinity) unstructured uncertainty so that H(sub infinity) synthesis techniques are applicable. Although the techniques cannot cope with the exact parametric uncertainty, they give a reasonable guideline to model the unstructured uncertainty that contains the parametric uncertainty. An additional loop shaping technique is also introduced to relax its conservatism.

  2. Digital autonomous terminal access communications

    NASA Technical Reports Server (NTRS)

    Novacki, S.

    1987-01-01

    A significant problem for the Bus Monitor Unit is to identify the source of a given transmission. This problem arises from the fact that the label which identifies the source of the transmission as it is put into the bus is intercepted by the Digital Autonomous Terminal Access Communications (DATAC) terminal and removed from the transmission. Thus, a given subsystem will see only data associated with a label and never the identifying label itself. The Bus Monitor must identify the source of the transmission so as to be able to provide some type of error identification/location in the event that some problem with the data transmission occurs. Steps taken to alleviate this problem by modifications to the DATAC terminal are discussed.

  3. An almost-parameter-free harmony search algorithm for groundwater pollution source identification.

    PubMed

    Jiang, Simin; Zhang, Yali; Wang, Pei; Zheng, Maohui

    2013-01-01

    The spatiotemporal characterization of unknown sources of groundwater pollution is frequently encountered in environmental problems. This study adopts a simulation-optimization approach that combines a contaminant transport simulation model with a heuristic harmony search algorithm to identify unknown pollution sources. In the proposed methodology, an almost-parameter-free harmony search algorithm is developed. The performance of this methodology is evaluated on an illustrative groundwater pollution source identification problem, and the identified results indicate that the proposed almost-parameter-free harmony search algorithm-based optimization model can give satisfactory estimations, even when the irregular geometry, erroneous monitoring data, and prior information shortage of potential locations are considered.

  4. Tools for Protecting the Privacy of Specific Individuals in Video

    NASA Astrophysics Data System (ADS)

    Chen, Datong; Chang, Yi; Yan, Rong; Yang, Jie

    2007-12-01

    This paper presents a system for protecting the privacy of specific individuals in video recordings. We address the following two problems: automatic people identification with limited labeled data, and human body obscuring with preserved structure and motion information. In order to address the first problem, we propose a new discriminative learning algorithm to improve people identification accuracy using limited training data labeled from the original video and imperfect pairwise constraints labeled from face obscured video data. We employ a robust face detection and tracking algorithm to obscure human faces in the video. Our experiments in a nursing home environment show that the system can obtain a high accuracy of people identification using limited labeled data and noisy pairwise constraints. The study result indicates that human subjects can perform reasonably well in labeling pairwise constraints with the face masked data. For the second problem, we propose a novel method of body obscuring, which removes the appearance information of the people while preserving rich structure and motion information. The proposed approach provides a way to minimize the risk of exposing the identities of the protected people while maximizing the use of the captured data for activity/behavior analysis.

  5. System identification using Nuclear Norm & Tabu Search optimization

    NASA Astrophysics Data System (ADS)

    Ahmed, Asif A.; Schoen, Marco P.; Bosworth, Ken W.

    2018-01-01

    In recent years, subspace System Identification (SI) algorithms have seen increased research, stemming from advanced minimization methods being applied to the Nuclear Norm (NN) approach in system identification. These minimization algorithms are based on hard computing methodologies. To the authors’ knowledge, as of now, there has been no work reported that utilizes soft computing algorithms to address the minimization problem within the nuclear norm SI framework. A linear, time-invariant, discrete time system is used in this work as the basic model for characterizing a dynamical system to be identified. The main objective is to extract a mathematical model from collected experimental input-output data. Hankel matrices are constructed from experimental data, and the extended observability matrix is employed to define an estimated output of the system. This estimated output and the actual - measured - output are utilized to construct a minimization problem. An embedded rank measure assures minimum state realization outcomes. Current NN-SI algorithms employ hard computing algorithms for minimization. In this work, we propose a simple Tabu Search (TS) algorithm for minimization. TS algorithm based SI is compared with the iterative Alternating Direction Method of Multipliers (ADMM) line search optimization based NN-SI. For comparison, several different benchmark system identification problems are solved by both approaches. Results show improved performance of the proposed SI-TS algorithm compared to the NN-SI ADMM algorithm.

  6. A simple iterative independent component analysis algorithm for vibration source signal identification of complex structures

    NASA Astrophysics Data System (ADS)

    Lee, Dong-Sup; Cho, Dae-Seung; Kim, Kookhyun; Jeon, Jae-Jin; Jung, Woo-Jin; Kang, Myeng-Hwan; Kim, Jae-Ho

    2015-01-01

    Independent Component Analysis (ICA), one of the blind source separation methods, can be applied for extracting unknown source signals only from received signals. This is accomplished by finding statistical independence of signal mixtures and has been successfully applied to myriad fields such as medical science, image processing, and numerous others. Nevertheless, there are inherent problems that have been reported when using this technique: instability and invalid ordering of separated signals, particularly when using a conventional ICA technique in vibratory source signal identification of complex structures. In this study, a simple iterative algorithm of the conventional ICA has been proposed to mitigate these problems. The proposed method to extract more stable source signals having valid order includes an iterative and reordering process of extracted mixing matrix to reconstruct finally converged source signals, referring to the magnitudes of correlation coefficients between the intermediately separated signals and the signals measured on or nearby sources. In order to review the problems of the conventional ICA technique and to validate the proposed method, numerical analyses have been carried out for a virtual response model and a 30 m class submarine model. Moreover, in order to investigate applicability of the proposed method to real problem of complex structure, an experiment has been carried out for a scaled submarine mockup. The results show that the proposed method could resolve the inherent problems of a conventional ICA technique.

  7. [The practice guideline 'Problematic alcohol consumption' (second revision) from the Dutch College of General Practitioners; a response from the perspective of internal medicine].

    PubMed

    van de Wiel, A

    2006-11-18

    The prevalence of problem drinking in the Dutch population, affecting about 750,000 persons, is much higher than that of abuse or addiction and contributes substantially to healthcare workload and costs. However, recognition, not only in primary care but also in the hospital environment, can be difficult. The symptoms are often non-specific and are not always immediately related to the use of alcohol. Even in cases of overt abuse, like in injuries and trauma, routine drinking histories are recorded poorly and identification and signalling are inadequate. It is estimated that up to 16% of all emergency room patients have consumed alcohol within six hours before their visit. Since a patient will benefit not only from the treatment of his symptoms but also from the uncovering of the underlying problem, more emphasis should be laid on the early identification of problem drinking. Especially in the early phase of problem drinking, interventions, in most cases by primary-care physicians or nurse practitioners, may be successful. Since the revised version of the practice guideline 'Problematic alcohol consumption' from the Dutch College of General Practitioners contains clear and practical advice on the early recognition and management of problem drinking, its use is recommended not only to primary-care physicians but also to hospital-specialist staff.

  8. The Unequal Impact of Food Insecurity on Cognitive and Behavioral Outcomes among 5-Year-Old Urban Children.

    PubMed

    Hobbs, Savannah; King, Christian

    2018-05-09

    To examine the associations of food insecurity with children's cognitive and behavioral outcomes using quantile regression. Secondary analysis of the Fragile Families and Child Wellbeing Study dataset. A total of 2,046 children aged 5 years. Child behavioral outcomes were measured using externalizing (aggressive) and internalizing (emotional) behavior problems. Child cognitive outcomes were measured using the Peabody Vocabulary test and the Woodcock-Johnson letter-word identification test. Food insecurity was measured using the US Department of Agriculture's Food Security Module. Unconditional quantile regressions were employed. Statistical significance was set at P ≤ .05. Negative associations between food insecurity and child behavior problems (externalizing and internalizing) were largest for children with the most behavior problems. For Peabody Vocabulary scores, the negative association with food insecurity was statistically significant only for children in the top half of the distribution (≥50th percentile). The analysis found mixed evidence of an association between food insecurity and the Woodcock-Johnson letter-word identification test. These associations were similar for boys and girls. Because children's cognitive skills and behavioral problems have long-lasting implications and effects later in life, reducing the risk of food insecurity might particularly benefit children with greater externalizing and internalizing behavior problems. Copyright © 2018 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  9. CULTURE-INDEPENDENT MOLECULAR METHODS FOR FECAL SOURCE IDENTIFICATION

    EPA Science Inventory

    Fecal contamination is widespread in the waterways of the United States. Both to correct the problem, and to estimate public health risk, it is necessary to identify the source of the contamination. Several culture-independent molecular methods for fecal source identification hav...

  10. Statistical theory and methodology for remote sensing data analysis

    NASA Technical Reports Server (NTRS)

    Odell, P. L.

    1974-01-01

    A model is developed for the evaluation of acreages (proportions) of different crop-types over a geographical area using a classification approach and methods for estimating the crop acreages are given. In estimating the acreages of a specific croptype such as wheat, it is suggested to treat the problem as a two-crop problem: wheat vs. nonwheat, since this simplifies the estimation problem considerably. The error analysis and the sample size problem is investigated for the two-crop approach. Certain numerical results for sample sizes are given for a JSC-ERTS-1 data example on wheat identification performance in Hill County, Montana and Burke County, North Dakota. Lastly, for a large area crop acreages inventory a sampling scheme is suggested for acquiring sample data and the problem of crop acreage estimation and the error analysis is discussed.

  11. Summary of research in applied mathematics, numerical analysis, and computer sciences

    NASA Technical Reports Server (NTRS)

    1986-01-01

    The major categories of current ICASE research programs addressed include: numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; control and parameter identification problems, with emphasis on effective numerical methods; computational problems in engineering and physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and computer systems and software, especially vector and parallel computers.

  12. The Probabilistic Thinking of Primary School Pupils in Cyprus: The Case of Tree Diagrams

    ERIC Educational Resources Information Center

    Lamprianou, Iasonas; Lamprianou, Thekla Afantiti

    2003-01-01

    In this research work we explored the nature of 9-12 year old pupils' responses to probabilistic problems with tree diagrams. It was found that a large percentage of pupils failed to respond correctly even to very simple problems that demanded the identification of "possible routes/paths" in figures with tree diagrams/mazes. The results…

  13. Evaluating a Brief Measure of Reading Comprehension for Narrative and Expository Text: The Convergent and Predictive Validity of the Reading Retell Rubric

    ERIC Educational Resources Information Center

    Thomas, Lisa B.

    2012-01-01

    Reading comprehension is a critical aspect of the reading process. Children who experience significant problems in reading comprehension are at risk for long-term academic and social problems. High-quality measures are needed for early, efficient, and effective identification of children in need of remediation in reading comprehension. Substantial…

  14. An Overview of Research Strategies and Findings (1971-1975) of the Kamehameha Early Education Program. Technical Report #66.

    ERIC Educational Resources Information Center

    Gallimore, Ronald; Tharp, Roland G.

    This report reviews the major lines of investigation of the Kamehameha Early Education Program (KEEP) for the period 1971-75. A brief introductory section describes the selection of initial research strategies, identification of problems, issues in research design (such as internal versus external validity) and problems pertaining to the process…

  15. Intellectual, Achievement, and Mental Health Evaluation of At-Risk Adolescents: Assessing Comorbidity of ADHD, LD, and Conduct Problems.

    ERIC Educational Resources Information Center

    Bullock, Wesley A.; And Others

    A multidimensional clinical assessment project was conducted on an at-risk adolescent population (n=78) in a public school setting. The focus of the project was on the identification of specific learning disabilities (LD) and attention deficit hyperactivity disorder (ADHD) as they relate to mental health problems and scholastic difficulties.…

  16. Comparing the AUDIT and 3 Drinking Indices as Predictors of Personal and Social Drinking Problems in Freshman First Offenders

    ERIC Educational Resources Information Center

    O'Hare, Thomas

    2005-01-01

    The current study of 376 college freshman adjudicated the first time for breaking university drinking rules tested the predictive power of four alcohol consumption and problem drinking indices--recent changes in drinking (the Alcohol Change Index: ACI), heavy drinking, binge drinking index, and the Alcohol Use Disorders Identification Test (AUDIT)…

  17. Methods for optimizing solutions when considering group arguments by team of experts

    NASA Astrophysics Data System (ADS)

    Chernyi, Sergei; Budnik, Vlad

    2017-11-01

    The article is devoted to methods of expert evaluation. The technology of expert evaluation is presented from the standpoint of precedent structures. In this paper, an aspect of the mathematical basis for constructing a component of decision analysis is considered. In fact, this approach leaves out any identification of their knowledge and skills of simulating organizational and manufacturing situations and taking efficient managerial decisions; it doesn't enable any identification and assessment of their knowledge on the basis of multi-informational and least loss-making methods and information technologies. Hence the problem is to research and develop a methodology for systemic identification of professional problem-focused knowledge acquired by employees operating adaptive automated systems of training management (AASTM operators), which shall also further the theory and practice of the intelligence-related aspects thereof.

  18. Early childhood risk and resilience factors for behavioural and emotional problems in middle childhood.

    PubMed

    Cabaj, Jason L; McDonald, Sheila W; Tough, Suzanne C

    2014-07-01

    Mental disorders in childhood have a considerable health and societal impact but the associated negative consequences may be ameliorated through early identification of risk and protective factors that can guide health promoting and preventive interventions. The objective of this study was to inform health policy and practice through identification of demographic, familial and environmental factors associated with emotional or behavioural problems in middle childhood, and the predictors of resilience in the presence of identified risk factors. A cohort of 706 mothers followed from early pregnancy was surveyed at six to eight years post-partum by a mail-out questionnaire, which included questions on demographics, children's health, development, activities, media and technology, family, friends, community, school life, and mother's health. Although most children do well in middle childhood, of 450 respondents (64% response rate), 29.5% and 25.6% of children were found to have internalising and externalising behaviour problem scores in the lowest quintile on the NSCLY Child Behaviour Scales. Independent predictors for problem behaviours identified through multivariable logistic regression modelling included being male, demographic risk, maternal mental health risk, poor parenting interactions, and low parenting morale. Among children at high risk for behaviour problems, protective factors included high maternal and child self-esteem, good maternal emotional health, adequate social support, good academic performance, and adequate quality parenting time. These findings demonstrate that several individual and social resilience factors can counter the influence of early adversities on the likelihood of developing problem behaviours in middle childhood, thus informing enhanced public health interventions for this understudied life course phase.

  19. Early identification: Language skills and social functioning in deaf and hard of hearing preschool children.

    PubMed

    Netten, Anouk P; Rieffe, Carolien; Theunissen, Stephanie C P M; Soede, Wim; Dirks, Evelien; Korver, Anna M H; Konings, Saskia; Oudesluys-Murphy, Anne Marie; Dekker, Friedo W; Frijns, Johan H M

    2015-12-01

    Permanent childhood hearing impairment often results in speech and language problems that are already apparent in early childhood. Past studies show a clear link between language skills and the child's social-emotional functioning. The aim of this study was to examine the level of language and communication skills after the introduction of early identification services and their relation with social functioning and behavioral problems in deaf and hard of hearing children. Nationwide cross-sectional observation of a cohort of 85 early identified deaf and hard of hearing preschool children (aged 30-66 months). Parents reported on their child's communicative abilities (MacArthur-Bates Communicative Development Inventory III), social functioning and appearance of behavioral problems (Strengths and Difficulties Questionnaire). Receptive and expressive language skills were measured using the Reynell Developmental Language Scale and the Schlichting Expressive Language Test, derived from the child's medical records. Language and communicative abilities of early identified deaf and hard of hearing children are not on a par with hearing peers. Compared to normative scores from hearing children, parents of deaf and hard of hearing children reported lower social functioning and more behavioral problems. Higher communicative abilities were related to better social functioning and less behavioral problems. No relation was found between the degree of hearing loss, age at amplification, uni- or bilateral amplification, mode of communication and social functioning and behavioral problems. These results suggest that improving the communicative abilities of deaf and hard of hearing children could improve their social-emotional functioning. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  20. A Gender Identification System for Customers in a Shop Using Infrared Area Scanners

    NASA Astrophysics Data System (ADS)

    Tajima, Takuya; Kimura, Haruhiko; Abe, Takehiko; Abe, Koji; Nakamoto, Yoshinori

    Information about customers in shops plays an important role in marketing analysis. Currently, in convenience stores and supermarkets, the identification of customer's gender is examined by clerks. On the other hand, gender identification systems using camera images are investigated. However, these systems have a problem of invading human privacies in identifying attributes of customers. The proposed system identifies gender by using infrared area scanners and Bayesian network. In the proposed system, since infrared area scanners do not take customers' images directly, invasion of privacies are not occurred. The proposed method uses three parameters of height, walking speed and pace for humans. In general, it is shown that these parameters have factors of sexual distinction in humans, and Bayesian network is designed with these three parameters. The proposed method resolves the existent problems of restricting the locations where the systems are set and invading human privacies. Experimental results using data obtained from 450 people show that the identification rate for the proposed method was 91.3% on the average of both of male and female identifications.

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

    Webb-Robertson, Bobbie-Jo M.

    Accurate identification of peptides is a current challenge in mass spectrometry (MS) based proteomics. The standard approach uses a search routine to compare tandem mass spectra to a database of peptides associated with the target organism. These database search routines yield multiple metrics associated with the quality of the mapping of the experimental spectrum to the theoretical spectrum of a peptide. The structure of these results make separating correct from false identifications difficult and has created a false identification problem. Statistical confidence scores are an approach to battle this false positive problem that has led to significant improvements in peptidemore » identification. We have shown that machine learning, specifically support vector machine (SVM), is an effective approach to separating true peptide identifications from false ones. The SVM-based peptide statistical scoring method transforms a peptide into a vector representation based on database search metrics to train and validate the SVM. In practice, following the database search routine, a peptides is denoted in its vector representation and the SVM generates a single statistical score that is then used to classify presence or absence in the sample« less

  2. Research on the transfer learning of the vehicle logo recognition

    NASA Astrophysics Data System (ADS)

    Zhao, Wei

    2017-08-01

    The Convolutional Neural Network of Deep Learning has been a huge success in the field of image intelligent transportation system can effectively solve the traffic safety, congestion, vehicle management and other problems of traffic in the city. Vehicle identification is a vital part of intelligent transportation, and the effective information in vehicles is of great significance to vehicle identification. With the traffic system on the vehicle identification technology requirements are getting higher and higher, the vehicle as an important type of vehicle information, because it should not be removed, difficult to change and other features for vehicle identification provides an important method. The current vehicle identification recognition (VLR) is mostly used to extract the characteristics of the method of classification, which for complex classification of its generalization ability to be some constraints, if the use of depth learning technology, you need a lot of training samples. In this paper, the method of convolution neural network based on transfer learning can solve this problem effectively, and it has important practical application value in the task of vehicle mark recognition.

  3. Mixed models, linear dependency, and identification in age-period-cohort models.

    PubMed

    O'Brien, Robert M

    2017-07-20

    This paper examines the identification problem in age-period-cohort models that use either linear or categorically coded ages, periods, and cohorts or combinations of these parameterizations. These models are not identified using the traditional fixed effect regression model approach because of a linear dependency between the ages, periods, and cohorts. However, these models can be identified if the researcher introduces a single just identifying constraint on the model coefficients. The problem with such constraints is that the results can differ substantially depending on the constraint chosen. Somewhat surprisingly, age-period-cohort models that specify one or more of ages and/or periods and/or cohorts as random effects are identified. This is the case without introducing an additional constraint. I label this identification as statistical model identification and show how statistical model identification comes about in mixed models and why which effects are treated as fixed and which are treated as random can substantially change the estimates of the age, period, and cohort effects. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

  4. Early Identification of Reading Comprehension Difficulties

    ERIC Educational Resources Information Center

    Catts, Hugh W.; Nielsen, Diane Corcoran; Bridges, Mindy Sittner; Liu, Yi-Syuan

    2016-01-01

    Most research on early identification of reading disabilities has focused on word reading problems and little attention has been given to reading comprehension difficulties. In this study, we investigated whether measures of language ability and/or response to language intervention in kindergarten uniquely predicted reading comprehension…

  5. Thin-Layer Chromatography Experiments That Illustrate General Problems in Chromatography.

    ERIC Educational Resources Information Center

    Lederer, M.; Leipzig-Pagani, E.

    1996-01-01

    Describes experiments that illustrate a number of general principles such as pattern identification, displacement chromatography, and salting-out adsorption, plus an experiment that demonstrates that identification by chromatography alone is impossible. Illustrates that chromatography is still possible with quite simple means, notwithstanding the…

  6. Modern control concepts in hydrology. [parameter identification in adaptive stochastic control approach

    NASA Technical Reports Server (NTRS)

    Duong, N.; Winn, C. B.; Johnson, G. R.

    1975-01-01

    Two approaches to an identification problem in hydrology are presented, based upon concepts from modern control and estimation theory. The first approach treats the identification of unknown parameters in a hydrologic system subject to noisy inputs as an adaptive linear stochastic control problem; the second approach alters the model equation to account for the random part in the inputs, and then uses a nonlinear estimation scheme to estimate the unknown parameters. Both approaches use state-space concepts. The identification schemes are sequential and adaptive and can handle either time-invariant or time-dependent parameters. They are used to identify parameters in the Prasad model of rainfall-runoff. The results obtained are encouraging and confirm the results from two previous studies; the first using numerical integration of the model equation along with a trial-and-error procedure, and the second using a quasi-linearization technique. The proposed approaches offer a systematic way of analyzing the rainfall-runoff process when the input data are imbedded in noise.

  7. Identification procedure for epistemic uncertainties using inverse fuzzy arithmetic

    NASA Astrophysics Data System (ADS)

    Haag, T.; Herrmann, J.; Hanss, M.

    2010-10-01

    For the mathematical representation of systems with epistemic uncertainties, arising, for example, from simplifications in the modeling procedure, models with fuzzy-valued parameters prove to be a suitable and promising approach. In practice, however, the determination of these parameters turns out to be a non-trivial problem. The identification procedure to appropriately update these parameters on the basis of a reference output (measurement or output of an advanced model) requires the solution of an inverse problem. Against this background, an inverse method for the computation of the fuzzy-valued parameters of a model with epistemic uncertainties is presented. This method stands out due to the fact that it only uses feedforward simulations of the model, based on the transformation method of fuzzy arithmetic, along with the reference output. An inversion of the system equations is not necessary. The advancement of the method presented in this paper consists of the identification of multiple input parameters based on a single reference output or measurement. An optimization is used to solve the resulting underdetermined problems by minimizing the uncertainty of the identified parameters. Regions where the identification procedure is reliable are determined by the computation of a feasibility criterion which is also based on the output data of the transformation method only. For a frequency response function of a mechanical system, this criterion allows a restriction of the identification process to some special range of frequency where its solution can be guaranteed. Finally, the practicability of the method is demonstrated by covering the measured output of a fluid-filled piping system by the corresponding uncertain FE model in a conservative way.

  8. Shortage of human resources in the Hungarian health care system: short-term or long-term problem?

    PubMed

    Belicza, Eva; Réthelyi, János; Kullmann, Lajos

    2003-01-01

    The Quality-management Committee of the Hungarian Hospital Federation and the Semmelweis University Health Services Management Training Centre, recognizing the threats of the human resources shortage and the consequential quality problems in the delivery of health care services, have launched a program for identifying the major problems and developing recommendations for decision makers and health service managers. The identification of the problems was performed by a task force group using a systematic methodology, recommendations were based on these findings. Members of the task force group were delegated by the Hungarian Hospital Federation and the Health Services Management Training Centre. Additional members were invited from the Ministry of Health and various other professional organizations.

  9. 2D signature for detection and identification of drugs

    NASA Astrophysics Data System (ADS)

    Trofimov, Vyacheslav A.; Varentsova, Svetlana A.; Shen, Jingling; Zhang, Cunlin; Zhou, Qingli; Shi, Yulei

    2011-06-01

    The method of spectral dynamics analysis (SDA-method) is used for obtaining the2D THz signature of drugs. This signature is used for the detection and identification of drugs with similar Fourier spectra by transmitted THz signal. We discuss the efficiency of SDA method for the identification problem of pure methamphetamine (MA), methylenedioxyamphetamine (MDA), 3, 4-methylenedioxymethamphetamine (MDMA) and Ketamine.

  10. Early Identification of Emotionally Handicapped Children in School, Second Edition. A Monograph in American Lectures in Psychology.

    ERIC Educational Resources Information Center

    Bower, Eli M.

    Directed to teachers and other school personnel, the text presents screening procedures to aid in the early identification of the emotionally handicapped. The nature of preventive mental health, emotional handicap, and problems in early identification are considered; also considered are the direction and trends of past research. A study in early…

  11. Research of mine water source identification based on LIF technology

    NASA Astrophysics Data System (ADS)

    Zhou, Mengran; Yan, Pengcheng

    2016-09-01

    According to the problem that traditional chemical methods to the mine water source identification takes a long time, put forward a method for rapid source identification system of mine water inrush based on the technology of laser induced fluorescence (LIF). Emphatically analyzes the basic principle of LIF technology. The hardware composition of LIF system are analyzed and the related modules were selected. Through the fluorescence experiment with the water samples of coal mine in the LIF system, fluorescence spectra of water samples are got. Traditional water source identification mainly according to the ion concentration representative of the water, but it is hard to analysis the ion concentration of the water from the fluorescence spectra. This paper proposes a simple and practical method of rapid identification of water by fluorescence spectrum, which measure the space distance between unknown water samples and standard samples, and then based on the clustering analysis, the category of the unknown water sample can be get. Water source identification for unknown samples verified the reliability of the LIF system, and solve the problem that the current coal mine can't have a better real-time and online monitoring on water inrush, which is of great significance for coal mine safety in production.

  12. Laboratory for Engineering Man/Machine Systems (LEMS): System identification, model reduction and deconvolution filtering using Fourier based modulating signals and high order statistics

    NASA Technical Reports Server (NTRS)

    Pan, Jianqiang

    1992-01-01

    Several important problems in the fields of signal processing and model identification, such as system structure identification, frequency response determination, high order model reduction, high resolution frequency analysis, deconvolution filtering, and etc. Each of these topics involves a wide range of applications and has received considerable attention. Using the Fourier based sinusoidal modulating signals, it is shown that a discrete autoregressive model can be constructed for the least squares identification of continuous systems. Some identification algorithms are presented for both SISO and MIMO systems frequency response determination using only transient data. Also, several new schemes for model reduction were developed. Based upon the complex sinusoidal modulating signals, a parametric least squares algorithm for high resolution frequency estimation is proposed. Numerical examples show that the proposed algorithm gives better performance than the usual. Also, the problem was studied of deconvolution and parameter identification of a general noncausal nonminimum phase ARMA system driven by non-Gaussian stationary random processes. Algorithms are introduced for inverse cumulant estimation, both in the frequency domain via the FFT algorithms and in the domain via the least squares algorithm.

  13. On Complex Water Conflicts: Role of Enabling Conditions for Pragmatic Resolution

    NASA Astrophysics Data System (ADS)

    Islam, S.; Choudhury, E.

    2016-12-01

    Many of our current and emerging water problems are interconnected and cross boundaries, domains, scales, and sectors. These boundary crossing water problems are neither static nor linear; but often are interconnected nonlinearly with other problems and feedback. The solution space for these complex problems - involving interdependent variables, processes, actors, and institutions - can't be pre-stated. We need to recognize the disconnect among values, interests, and tools as well as problems, policies, and politics. Scientific and technological solutions are desired for efficiency and reliability, but need to be politically feasible and actionable. Governing and managing complex water problems require difficult tradeoffs in exploring and sharing benefits and burdens through carefully crafted negotiation processes. The crafting of such negotiation process, we argue, constitutes a pragmatic approach to negotiation - one that is based on the identification of enabling conditions - as opposed to mechanistic casual explanations, and rooted in contextual conditions to specify and ensure the principles of equity and sustainability. We will use two case studies to demonstrate the efficacy of the proposed principled pragmatic approcah to address complex water problems.

  14. Introduction to the IWA task group on biofilm modeling.

    PubMed

    Noguera, D R; Morgenroth, E

    2004-01-01

    An International Water Association (IWA) Task Group on Biofilm Modeling was created with the purpose of comparatively evaluating different biofilm modeling approaches. The task group developed three benchmark problems for this comparison, and used a diversity of modeling techniques that included analytical, pseudo-analytical, and numerical solutions to the biofilm problems. Models in one, two, and three dimensional domains were also compared. The first benchmark problem (BM1) described a monospecies biofilm growing in a completely mixed reactor environment and had the purpose of comparing the ability of the models to predict substrate fluxes and concentrations for a biofilm system of fixed total biomass and fixed biomass density. The second problem (BM2) represented a situation in which substrate mass transport by convection was influenced by the hydrodynamic conditions of the liquid in contact with the biofilm. The third problem (BM3) was designed to compare the ability of the models to simulate multispecies and multisubstrate biofilms. These three benchmark problems allowed identification of the specific advantages and disadvantages of each modeling approach. A detailed presentation of the comparative analyses for each problem is provided elsewhere in these proceedings.

  15. The Challenge of Problem Residents

    PubMed Central

    Yao, David C; Wright, Scott M

    2001-01-01

    Internal medicine residency training is demanding and residents can experience a wide variety of professional and personal difficulties. Residency programs everywhere have had and will continue to have problem residents. Training programs should be equipped to effectively identify and manage residents who experience problems. Previous articles that have been published on the topic of problem residents primarily addressed concerns such as impairment due to depression and substance abuse. The content of this article is derived from a comprehensive review of the literature as well as other data sources such as interviews with program directors and workshops at national professional meetings. This article focuses primarily on four issues related to problem residents: their identification, underlying causes, management, and prevention. The study attempts to be evidence-based, wherever possible, highlighting what is known. Recommendations based on the synthesis of the data are also made. Future ongoing studies of problem residents will improve our understanding of the matters involved, and may ultimately lead to improved outcomes for these trainees. PMID:11520388

  16. Paternal ADHD symptoms and child conduct problems: is father involvement always beneficial?

    PubMed

    Romirowsky, A M; Chronis-Tuscano, A

    2014-09-01

    Maternal psychopathology robustly predicts poor developmental and treatment outcomes for children with attention-deficit/hyperactivity disorder (ADHD). Despite the high heritability of ADHD, few studies have examined associations between paternal ADHD symptoms and child adjustment, and none have also considered degree of paternal involvement in childrearing. Identification of modifiable risk factors for child conduct problems is particularly important in this population given the serious adverse outcomes resulting from this comorbidity. This cross-sectional study examined the extent to which paternal involvement in childrearing moderated the association between paternal ADHD symptoms and child conduct problems among 37 children with ADHD and their biological fathers. Neither paternal ADHD symptoms nor involvement was independently associated with child conduct problems. However, the interaction between paternal ADHD symptoms and involvement was significant, such that paternal ADHD symptoms were positively associated with child conduct problems only when fathers were highly involved in childrearing. The presence of adult ADHD symptoms may determine whether father involvement in childrearing has a positive or detrimental influence on comorbid child conduct problems.

  17. Venue staff knowledge of their patrons' gambling and problem gambling.

    PubMed

    Delfabbro, Paul; Borgas, Mignon; King, Daniel

    2012-06-01

    In several jurisdictions around the world, venue staff are encouraged to make reasonable attempts to determine whether patrons may be experiencing problems associated with their gambling. Although a number of visible indicators and behaviours are recognised as being indicative of gambling problems, no research has investigated how effective staff might be in identifying problem gamblers in venues. The aim of this field test was to examine the level of patron familiarity amongst staff working in small to moderate-sized venues. Patrons (n = 303) were asked to complete a short survey including the Problem Gambling Severity Index and venue staff were asked to describe their knowledge of the same patrons independently. The results showed that patrons rated as more at risk by staff scored significantly higher on the PGSI, but that point-in-time staff ratings were not sufficiently accurate to allow effective identification of problem gamblers. The importance of using accumulated information over multiple sessions as well as technological monitoring of behaviour was emphasised by these results.

  18. Measuring health-related problem solving among African Americans with multiple chronic conditions: application of Rasch analysis.

    PubMed

    Fitzpatrick, Stephanie L; Hill-Briggs, Felicia

    2015-10-01

    Identification of patients with poor chronic disease self-management skills can facilitate treatment planning, determine effectiveness of interventions, and reduce disease complications. This paper describes the use of a Rasch model, the Rating Scale Model, to examine psychometric properties of the 50-item Health Problem-Solving Scale (HPSS) among 320 African American patients with high risk for cardiovascular disease. Items on the positive/effective HPSS subscales targeted patients at low, moderate, and high levels of positive/effective problem solving, whereas items on the negative/ineffective problem solving subscales mostly targeted those at moderate or high levels of ineffective problem solving. Validity was examined by correlating factor scores on the measure with clinical and behavioral measures. Items on the HPSS show promise in the ability to assess health-related problem solving among high risk patients. However, further revisions of the scale are needed to increase its usability and validity with large, diverse patient populations in the future.

  19. Entanglement and the fermion sign problem in auxiliary field quantum Monte Carlo simulations

    NASA Astrophysics Data System (ADS)

    Broecker, Peter; Trebst, Simon

    2016-08-01

    Quantum Monte Carlo simulations of fermions are hampered by the notorious sign problem whose most striking manifestation is an exponential growth of sampling errors with the number of particles. With the sign problem known to be an NP-hard problem and any generic solution thus highly elusive, the Monte Carlo sampling of interacting many-fermion systems is commonly thought to be restricted to a small class of model systems for which a sign-free basis has been identified. Here we demonstrate that entanglement measures, in particular the so-called Rényi entropies, can intrinsically exhibit a certain robustness against the sign problem in auxiliary-field quantum Monte Carlo approaches and possibly allow for the identification of global ground-state properties via their scaling behavior even in the presence of a strong sign problem. We corroborate these findings via numerical simulations of fermionic quantum phase transitions of spinless fermions on the honeycomb lattice at and below half filling.

  20. A quasi-spectral method for Cauchy problem of 2/D Laplace equation on an annulus

    NASA Astrophysics Data System (ADS)

    Saito, Katsuyoshi; Nakada, Manabu; Iijima, Kentaro; Onishi, Kazuei

    2005-01-01

    Real numbers are usually represented in the computer as a finite number of digits hexa-decimal floating point numbers. Accordingly the numerical analysis is often suffered from rounding errors. The rounding errors particularly deteriorate the precision of numerical solution in inverse and ill-posed problems. We attempt to use a multi-precision arithmetic for reducing the rounding error evil. The use of the multi-precision arithmetic system is by the courtesy of Dr Fujiwara of Kyoto University. In this paper we try to show effectiveness of the multi-precision arithmetic by taking two typical examples; the Cauchy problem of the Laplace equation in two dimensions and the shape identification problem by inverse scattering in three dimensions. It is concluded from a few numerical examples that the multi-precision arithmetic works well on the resolution of those numerical solutions, as it is combined with the high order finite difference method for the Cauchy problem and with the eigenfunction expansion method for the inverse scattering problem.

  1. Applications of aerospace technology to petroleum exploration. Volume 1: Efforts and results

    NASA Technical Reports Server (NTRS)

    Jaffe, L. D.

    1976-01-01

    The feasibility of applying aerospace techniques to help solve significant problems in petroleum exploration is studied. Through contacts with petroleum industry and petroleum service industry, important petroleum exploration problems were identified. For each problem, areas of aerospace technology that might aid in its solution were also identified where possible. Topics selected for investigation include: seismic reflection systems; down-hole acoustic techniques; identification of geological analogies; drilling methods; remote geological sensing; and sea floor imaging and mapping. Specific areas of aerospace technology are applied to 21 concepts formulated from the topics of concern.

  2. Early Identification and Treatment of Antisocial Behavior.

    PubMed

    Frick, Paul J

    2016-10-01

    Severe and persistent antisocial behavior is a prevalent, serious, and costly mental health problem. Individuals who are most likely to show persistent antisocial behavior through adolescence and into adulthood often show patterns of severe and varied conduct problems early in childhood. Treatments that intervene early in the development of these problems are most effective and least costly. Furthermore, there appear to be several common causal pathways that differ in their genetic, emotional, cognitive, and contextual characteristics. These pathways are differentiated by the level of callous-unemotional traits displayed by the individual. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Computational inverse methods of heat source in fatigue damage problems

    NASA Astrophysics Data System (ADS)

    Chen, Aizhou; Li, Yuan; Yan, Bo

    2018-04-01

    Fatigue dissipation energy is the research focus in field of fatigue damage at present. It is a new idea to solve the problem of calculating fatigue dissipation energy by introducing inverse method of heat source into parameter identification of fatigue dissipation energy model. This paper introduces the research advances on computational inverse method of heat source and regularization technique to solve inverse problem, as well as the existing heat source solution method in fatigue process, prospects inverse method of heat source applying in fatigue damage field, lays the foundation for further improving the effectiveness of fatigue dissipation energy rapid prediction.

  4. Remote Sensing and Problems of the Hydrosphere

    NASA Technical Reports Server (NTRS)

    Goldberg, E. D. (Editor)

    1979-01-01

    A discussion of freshwater and marine systems is presented including areas of the classification of lakes, identification and quantification of major functional groups of phytoplankton, sources and sinks of biochemical factors, and temporal and regional variability of surface features. Atmospheric processes linked to hydrospheric process through the transfer of matter via aerosols and gases are discussed. Particle fluxes to the aquatic environment and global geochemical problems are examined.

  5. Identification of impaired hearing in early childhood.

    PubMed Central

    Wong, D; Shah, C P

    1979-01-01

    Although the incidence of congenital deafness is high, routine neonatal screening for this problem is not practised, and early identification of congenital or early acquired deafness is relatively rare. Delaying therapy until a child is 3 or more years old severely limits speech development, language acquisition and learning. The commonest causes of delay in diagnosis are the refusal of physicians to listen to the parents' observations, their failure to screen children for hearing and speech problems, and their reluctance to arrange prompt referral for audiologic assessment. Diagnostic delay occurs even though half the children who have impaired hearing are known to be at increased risk. A plea is made for the setting up of a register of infants known to be at risk for impaired hearing. First-contact physicians should be alert to the possibility of hearing problems, particularly in children at high risk. Screening methods for use by nonspecialist practitioners are outlined. Images p535-a p536-a p540-a PMID:387194

  6. Effect of routine mental health screening in a low-resource pediatric primary care population.

    PubMed

    Berger-Jenkins, Evelyn; McCord, Mary; Gallagher, Trish; Olfson, Mark

    2012-04-01

    Despite evidence for its feasibility, the usage of mental health screening in primary care practices with overburdened providers and few referral options remains unclear. This study explores the effects of routine screening on mental health problem identification and management in a low-resource setting. Medical records of 5 to 12 year-old children presenting for well visits before and after screening was implemented were reviewed. Multivariate logistic regression was used to explore associations between study period and identification/management practices. Changes in the number of visits and wait times for a co-located referral service were assessed post hoc. Parents disclosed more mental health problems, and providers initiated more workups but referred fewer patients after screening was implemented. The proportion of new visits and wait times for the referral service did not change. Even in low-resource settings, screening may facilitate parental disclosure and increase clinical attention to mental health problems without overburdening referral services.

  7. Efficient marginalization to compute protein posterior probabilities from shotgun mass spectrometry data

    PubMed Central

    Serang, Oliver; MacCoss, Michael J.; Noble, William Stafford

    2010-01-01

    The problem of identifying proteins from a shotgun proteomics experiment has not been definitively solved. Identifying the proteins in a sample requires ranking them, ideally with interpretable scores. In particular, “degenerate” peptides, which map to multiple proteins, have made such a ranking difficult to compute. The problem of computing posterior probabilities for the proteins, which can be interpreted as confidence in a protein’s presence, has been especially daunting. Previous approaches have either ignored the peptide degeneracy problem completely, addressed it by computing a heuristic set of proteins or heuristic posterior probabilities, or by estimating the posterior probabilities with sampling methods. We present a probabilistic model for protein identification in tandem mass spectrometry that recognizes peptide degeneracy. We then introduce graph-transforming algorithms that facilitate efficient computation of protein probabilities, even for large data sets. We evaluate our identification procedure on five different well-characterized data sets and demonstrate our ability to efficiently compute high-quality protein posteriors. PMID:20712337

  8. Use of a latency-based demand assessment to identify potential demands for functional analyses.

    PubMed

    Call, Nathan A; Miller, Sarah J; Mintz, Joslyn Cynkus; Mevers, Joanna Lomas; Scheithauer, Mindy C; Eshelman, Julie E; Beavers, Gracie A

    2016-12-01

    Unlike potential tangible positive reinforcers, which are typically identified for inclusion in functional analyses empirically using preference assessments, demands are most often selected arbitrarily or based on caregiver report. The present study evaluated the use of a demand assessment with 12 participants who exhibited escape-maintained problem behavior. Participants were exposed to 10 demands, with aversiveness measured by average latency to the first instance of problem behavior. In subsequent functional analyses, results of a demand condition that included the demand with the shortest latency to problem behavior resulted in identification of an escape function for 11 of the participants. In contrast, a demand condition that included the demand with the longest latency resulted in identification of an escape function for only 5 participants. The implication of these findings is that for the remaining 7 participants, selection of the demand for the functional analysis without using the results of the demand assessment could have produced a false-negative finding. © 2016 Society for the Experimental Analysis of Behavior.

  9. Decision-Making, Cognitive Distortions and Alcohol Use in Adolescent Problem and Non-problem Gamblers: An Experimental Study.

    PubMed

    Ciccarelli, Maria; Griffiths, Mark D; Nigro, Giovanna; Cosenza, Marina

    2016-12-01

    In the psychological literature, many studies have investigated the neuropsychological and behavioral changes that occur developmentally during adolescence. These studies have consistently observed a deficit in the decision-making ability of children and adolescents. This deficit has been ascribed to incomplete brain development. The same deficit has also been observed in adult problem and pathological gamblers. However, to date, no study has examined decision-making in adolescents with and without gambling problems. Furthermore, no study has ever examined associations between problem gambling, decision-making, cognitive distortions and alcohol use in youth. To address these issues, 104 male adolescents participated in this study. They were equally divided in two groups, problem gamblers and non-problem gamblers, based on South Oaks Gambling Screen Revised for Adolescents scores. All participants performed the Iowa gambling task and completed the Gambling Related Cognitions Scale and the alcohol use disorders identification test. Adolescent problem gamblers displayed impaired decision-making, reported high cognitive distortions, and had more problematic alcohol use compared to non-problem gamblers. Strong correlations between problem gambling, alcohol use, and cognitive distortions were observed. Decision-making correlated with interpretative bias. This study demonstrated that adolescent problem gamblers appear to have the same psychological profile as adult problem gamblers and that gambling involvement can negatively impact on decision-making ability that, in adolescence, is still developing. The correlations between interpretative bias and decision-making suggested that the beliefs in the ability to influence gambling outcomes may facilitate decision-making impairment.

  10. Developing Multimedia Supplementary Materials to Support Learning Beginning Level Chinese Characters

    ERIC Educational Resources Information Center

    Xu, Lisha

    2017-01-01

    Studies investigating beginner Chinese learners' character learning strategies found that learners considered orthographic knowledge the most useful factor (Ke, 1998; Shen, 2005). Orthographic recognition correlates with character identification and production and can be used by advanced learners to solve word identification problems (Everson,…

  11. Problem Solving and Computational Skill: Are They Shared or Distinct Aspects of Mathematical Cognition?

    PubMed Central

    Fuchs, Lynn S.; Fuchs, Douglas; Hamlett, Carol L.; Lambert, Warren; Stuebing, Karla; Fletcher, Jack M.

    2009-01-01

    The purpose of this study was to explore patterns of difficulty in 2 domains of mathematical cognition: computation and problem solving. Third graders (n = 924; 47.3% male) were representatively sampled from 89 classrooms; assessed on computation and problem solving; classified as having difficulty with computation, problem solving, both domains, or neither domain; and measured on 9 cognitive dimensions. Difficulty occurred across domains with the same prevalence as difficulty with a single domain; specific difficulty was distributed similarly across domains. Multivariate profile analysis on cognitive dimensions and chi-square tests on demographics showed that specific computational difficulty was associated with strength in language and weaknesses in attentive behavior and processing speed; problem-solving difficulty was associated with deficient language as well as race and poverty. Implications for understanding mathematics competence and for the identification and treatment of mathematics difficulties are discussed. PMID:20057912

  12. Developmental and physical-fitness associations with gross motor coordination problems in Peruvian children.

    PubMed

    de Chaves, Raquel Nichele; Bustamante Valdívia, Alcibíades; Nevill, Alan; Freitas, Duarte; Tani, Go; Katzmarzyk, Peter T; Maia, José António Ribeiro

    2016-01-01

    The aims of this cross-sectional study were to examine the developmental characteristics (biological maturation and body size) associated with gross motor coordination problems in 5193 Peruvian children (2787 girls) aged 6-14 years from different geographical locations, and to investigate how the probability that children suffer with gross motor coordination problems varies with physical fitness. Children with gross motor coordination problems were more likely to have lower flexibility and explosive strength levels, having adjusted for age, sex, maturation and study site. Older children were more likely to suffer from gross motor coordination problems, as were those with greater body mass index. However, more mature children were less likely to have gross motor coordination problems, although children who live at sea level or at high altitude were more likely to suffer from gross motor coordination problems than children living in the jungle. Our results provide evidence that children and adolescents with lower physical fitness are more likely to have gross motor coordination difficulties. The identification of youths with gross motor coordination problems and providing them with effective intervention programs is an important priority in order to overcome such developmental problems, and help to improve their general health status. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Prevalence of alcohol-related problems among the Slavs and Arabs in Belarus: a university survey.

    PubMed

    Welcome, Menizibeya O; Razvodovsky, Yury E; Pereverzev, Vladimir A

    2011-05-01

    Alcohol abuse is a major problem among students in Belarus. Alcohol-related problems might vary among students of different cultural backgrounds. To examine the different patterns in alcohol use and related problems among students of different cultural groups--the Slavs and Arabs, in major Belarusian universities. 1465 university students (1345 Slavs and 120 Arabs) from three major universities in Minsk, Belarus, were administered the Alcohol Use Disorders Identification Test, the Cut, Annoyed, Guilty and Eye questionnaire, and the Michigan Alcohol Screening Test, including other alcohol-related questions. Overall, 91.08% (n = 1225) Slavs and 60.83% (n = 73) Arabs were alcohol users. A total of 16.28% (n = 219) Slavs and 32.50% (n = 39) Arabs were identified as problem drinkers. Different patterns of alcohol use and related problems were characterized for the Slavs and Arabs. The level of alcohol-related problems was higher among the Arabs, compared to the Slavs. Significant differences in the pattern of alcohol use and related problems exist among the students of various cultural groups--the Slavs and Arabs in Minsk, Belarus. This is the first empirical study to investigate the prevalence of alcohol use and related problems among the Arab and Slav students in Belarus.

  14. A trial of a self-assessment tool of problems following treatment of colorectal cancer: a prospective study in Australia primary care.

    PubMed

    Ngune, I; Jiwa, M; McManus, A; Parsons, R; Hodder, R

    2016-01-01

    Patients treated for colorectal cancer (CRC) experience considerable physical, social and psychological morbidity. In this study, 66 participants with stages I-III CRC were enrolled in this study. Participants completed the self-assessment tool for patients (SATp) over a 5-month period and visited a general practitioner with a copy of their SATp to assist in the management of any problems associated with CRC treatment. General practitioners' notes were reviewed for management actions. Of the 66 participants, 57 visited a general practitioner over the 5-month study period. A total of 547 problems were identified (median 7; IQR: 3-12.25). Participants with physical problems were more likely to consult their general practitioner (OR: 1.84, CI: 1.05-3.21, P = 0.03) compared to those with psychological problems. The number of problems experienced by participants did not have any influence on the decision to visit a general practitioner. Psychological problems (P < 0.01) significantly reduced over the 5-month study period. Regular use of the SATp facilitates the identification of long-term CRC treatment-related problems. Some of these problems could then be addressed in primary care. © 2015 John Wiley & Sons Ltd.

  15. qPMS9: An Efficient Algorithm for Quorum Planted Motif Search

    NASA Astrophysics Data System (ADS)

    Nicolae, Marius; Rajasekaran, Sanguthevar

    2015-01-01

    Discovering patterns in biological sequences is a crucial problem. For example, the identification of patterns in DNA sequences has resulted in the determination of open reading frames, identification of gene promoter elements, intron/exon splicing sites, and SH RNAs, location of RNA degradation signals, identification of alternative splicing sites, etc. In protein sequences, patterns have led to domain identification, location of protease cleavage sites, identification of signal peptides, protein interactions, determination of protein degradation elements, identification of protein trafficking elements, discovery of short functional motifs, etc. In this paper we focus on the identification of an important class of patterns, namely, motifs. We study the (l, d) motif search problem or Planted Motif Search (PMS). PMS receives as input n strings and two integers l and d. It returns all sequences M of length l that occur in each input string, where each occurrence differs from M in at most d positions. Another formulation is quorum PMS (qPMS), where the motif appears in at least q% of the strings. We introduce qPMS9, a parallel exact qPMS algorithm that offers significant runtime improvements on DNA and protein datasets. qPMS9 solves the challenging DNA (l, d)-instances (28, 12) and (30, 13). The source code is available at https://code.google.com/p/qpms9/.

  16. D-Optimal Experimental Design for Contaminant Source Identification

    NASA Astrophysics Data System (ADS)

    Sai Baba, A. K.; Alexanderian, A.

    2016-12-01

    Contaminant source identification seeks to estimate the release history of a conservative solute given point concentration measurements at some time after the release. This can be mathematically expressed as an inverse problem, with a linear observation operator or a parameter-to-observation map, which we tackle using a Bayesian approach. Acquisition of experimental data can be laborious and expensive. The goal is to control the experimental parameters - in our case, the sparsity of the sensors, to maximize the information gain subject to some physical or budget constraints. This is known as optimal experimental design (OED). D-optimal experimental design seeks to maximize the expected information gain, and has long been considered the gold standard in the statistics community. Our goal is to develop scalable methods for D-optimal experimental designs involving large-scale PDE constrained problems with high-dimensional parameter fields. A major challenge for the OED, is that a nonlinear optimization algorithm for the D-optimality criterion requires repeated evaluation of objective function and gradient involving the determinant of large and dense matrices - this cost can be prohibitively expensive for applications of interest. We propose novel randomized matrix techniques that bring down the computational costs of the objective function and gradient evaluations by several orders of magnitude compared to the naive approach. The effect of randomized estimators on the accuracy and the convergence of the optimization solver will be discussed. The features and benefits of our new approach will be demonstrated on a challenging model problem from contaminant source identification involving the inference of the initial condition from spatio-temporal observations in a time-dependent advection-diffusion problem.

  17. [Applications of DNA identification technology in protection of wild animals].

    PubMed

    Ni, Ping-Ya; Pei, Li; Ge, Wen-Dong; Zhang, Ying; Yang, Xue-Ying; Xu, Xiao-Yu; Tu, Zheng

    2011-12-01

    With the development of biotechnology, forensic DNA identification technology in protection of wild animals has been used more and more widely. This review introduces the global status of wildlife crime and the relevant protection to wildlife, outlines the practical applications of forensic DNA identification technology with regard to species identification, determination of geographic origin, individual identification and paternity identification. It focus on the techniques commonly used in DNA typing and their merits and demerits, as well as the problems and prospects of forensic DNA technology for wildlife conservation.

  18. Aerodynamic parameter estimation via Fourier modulating function techniques

    NASA Technical Reports Server (NTRS)

    Pearson, A. E.

    1995-01-01

    Parameter estimation algorithms are developed in the frequency domain for systems modeled by input/output ordinary differential equations. The approach is based on Shinbrot's method of moment functionals utilizing Fourier based modulating functions. Assuming white measurement noises for linear multivariable system models, an adaptive weighted least squares algorithm is developed which approximates a maximum likelihood estimate and cannot be biased by unknown initial or boundary conditions in the data owing to a special property attending Shinbrot-type modulating functions. Application is made to perturbation equation modeling of the longitudinal and lateral dynamics of a high performance aircraft using flight-test data. Comparative studies are included which demonstrate potential advantages of the algorithm relative to some well established techniques for parameter identification. Deterministic least squares extensions of the approach are made to the frequency transfer function identification problem for linear systems and to the parameter identification problem for a class of nonlinear-time-varying differential system models.

  19. Parameter identification for nonlinear aerodynamic systems

    NASA Technical Reports Server (NTRS)

    Pearson, Allan E.

    1990-01-01

    Parameter identification for nonlinear aerodynamic systems is examined. It is presumed that the underlying model can be arranged into an input/output (I/O) differential operator equation of a generic form. The algorithm estimation is especially efficient since the equation error can be integrated exactly given any I/O pair to obtain an algebraic function of the parameters. The algorithm for parameter identification was extended to the order determination problem for linear differential system. The degeneracy in a least squares estimate caused by feedback was addressed. A method of frequency analysis for determining the transfer function G(j omega) from transient I/O data was formulated using complex valued Fourier based modulating functions in contrast with the trigonometric modulating functions for the parameter estimation problem. A simulation result of applying the algorithm is given under noise-free conditions for a system with a low pass transfer function.

  20. Identification of inelastic parameters based on deep drawing forming operations using a global-local hybrid Particle Swarm approach

    NASA Astrophysics Data System (ADS)

    Vaz, Miguel; Luersen, Marco A.; Muñoz-Rojas, Pablo A.; Trentin, Robson G.

    2016-04-01

    Application of optimization techniques to the identification of inelastic material parameters has substantially increased in recent years. The complex stress-strain paths and high nonlinearity, typical of this class of problems, require the development of robust and efficient techniques for inverse problems able to account for an irregular topography of the fitness surface. Within this framework, this work investigates the application of the gradient-based Sequential Quadratic Programming method, of the Nelder-Mead downhill simplex algorithm, of Particle Swarm Optimization (PSO), and of a global-local PSO-Nelder-Mead hybrid scheme to the identification of inelastic parameters based on a deep drawing operation. The hybrid technique has shown to be the best strategy by combining the good PSO performance to approach the global minimum basin of attraction with the efficiency demonstrated by the Nelder-Mead algorithm to obtain the minimum itself.

  1. Multivariable frequency domain identification via 2-norm minimization

    NASA Technical Reports Server (NTRS)

    Bayard, David S.

    1992-01-01

    The author develops a computational approach to multivariable frequency domain identification, based on 2-norm minimization. In particular, a Gauss-Newton (GN) iteration is developed to minimize the 2-norm of the error between frequency domain data and a matrix fraction transfer function estimate. To improve the global performance of the optimization algorithm, the GN iteration is initialized using the solution to a particular sequentially reweighted least squares problem, denoted as the SK iteration. The least squares problems which arise from both the SK and GN iterations are shown to involve sparse matrices with identical block structure. A sparse matrix QR factorization method is developed to exploit the special block structure, and to efficiently compute the least squares solution. A numerical example involving the identification of a multiple-input multiple-output (MIMO) plant having 286 unknown parameters is given to illustrate the effectiveness of the algorithm.

  2. Students' conceptual performance on synthesis physics problems with varying mathematical complexity

    NASA Astrophysics Data System (ADS)

    Ibrahim, Bashirah; Ding, Lin; Heckler, Andrew F.; White, Daniel R.; Badeau, Ryan

    2017-06-01

    A body of research on physics problem solving has focused on single-concept problems. In this study we use "synthesis problems" that involve multiple concepts typically taught in different chapters. We use two types of synthesis problems, sequential and simultaneous synthesis tasks. Sequential problems require a consecutive application of fundamental principles, and simultaneous problems require a concurrent application of pertinent concepts. We explore students' conceptual performance when they solve quantitative synthesis problems with varying mathematical complexity. Conceptual performance refers to the identification, follow-up, and correct application of the pertinent concepts. Mathematical complexity is determined by the type and the number of equations to be manipulated concurrently due to the number of unknowns in each equation. Data were collected from written tasks and individual interviews administered to physics major students (N =179 ) enrolled in a second year mechanics course. The results indicate that mathematical complexity does not impact students' conceptual performance on the sequential tasks. In contrast, for the simultaneous problems, mathematical complexity negatively influences the students' conceptual performance. This difference may be explained by the students' familiarity with and confidence in particular concepts coupled with cognitive load associated with manipulating complex quantitative equations. Another explanation pertains to the type of synthesis problems, either sequential or simultaneous task. The students split the situation presented in the sequential synthesis tasks into segments but treated the situation in the simultaneous synthesis tasks as a single event.

  3. Application of permanents of square matrices for DNA identification in multiple-fatality cases

    PubMed Central

    2013-01-01

    Background DNA profiling is essential for individual identification. In forensic medicine, the likelihood ratio (LR) is commonly used to identify individuals. The LR is calculated by comparing two hypotheses for the sample DNA: that the sample DNA is identical or related to a reference DNA, and that it is randomly sampled from a population. For multiple-fatality cases, however, identification should be considered as an assignment problem, and a particular sample and reference pair should therefore be compared with other possibilities conditional on the entire dataset. Results We developed a new method to compute the probability via permanents of square matrices of nonnegative entries. As the exact permanent is known as a #P-complete problem, we applied the Huber–Law algorithm to approximate the permanents. We performed a computer simulation to evaluate the performance of our method via receiver operating characteristic curve analysis compared with LR under the assumption of a closed incident. Differences between the two methods were well demonstrated when references provided neither obligate alleles nor impossible alleles. The new method exhibited higher sensitivity (0.188 vs. 0.055) at a threshold value of 0.999, at which specificity was 1, and it exhibited higher area under a receiver operating characteristic curve (0.990 vs. 0.959, P = 9.6E-15). Conclusions Our method therefore offers a solution for a computationally intensive assignment problem and may be a viable alternative to LR-based identification for closed-incident multiple-fatality cases. PMID:23962363

  4. England Policy in Gifted Education: Current Problems and Promising Directions

    ERIC Educational Resources Information Center

    Koshy, Valsa; Smith, Carole Portman; Casey, Ronald

    2018-01-01

    This article presents and analyzes policies in identification and provisions in England with respect to gifted education. England has developed a national policy to provide services to identified students. Surveys and interviews with teachers illustrate how implementation of both identification and provision policy elements were handled. Although…

  5. Assessing the World Health Organization's Alcohol Use Disorder Identification Test among Incarcerated Women.

    ERIC Educational Resources Information Center

    El-Bassel, Nabila; Schilling, Robert; Ivanoff, Andre; Chen, Duan-Rung; Hanson, Meredith

    1998-01-01

    Describes the results of administering the World Health Organization's Alcohol Use Disorder Identification Test (AUDIT) to 400 incarcerated drug-using women. Reports on AUDIT's utility, validity, and reliability. Results demonstrate that AUDIT can be used to identify problem drinkers among incarcerated, drug-using women. (MKA)

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

    ERIC Educational Resources Information Center

    Phillips, Sharon A.

    2013-01-01

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

  7. Problem Identification Survey Handbook for Parish Rural Development Committees.

    ERIC Educational Resources Information Center

    Koch, Kenneth A.

    The Task Force on Resource Development of the Cooperative Extension Service, Louisiana State University, decided to utilize the leader identification technique as a means of assisting the parish rural development committees in the rural development process. The technique is a procedure to stimulate effective citizen participation to identify…

  8. Training and Practice in Geographic Skills: An Aerial Photo Interpretation Course Project.

    ERIC Educational Resources Information Center

    Rumney, Thomas

    1982-01-01

    Describes a college level geography project which focused on land use identification from aerial photographs, land use mapping, and the identification and analysis of land use changes in the field. The project was intended to help students apply geographic skills to real world problems. (AM)

  9. Using Curriculum-Based Measurement for Struggling Beginning Writers

    ERIC Educational Resources Information Center

    McMaster, Kristen L.; Du, Xiaoqing; Parker, David C.; Pinto, Viveca

    2011-01-01

    Many students struggle with writing, which impacts their school and lifelong success, but early identification and intervention can help prevent long-term writing problems. Reliable and valid assessment tools are needed for early identification of struggling writers, as well as to monitor their progress and evaluate the effects of early…

  10. APPLYING OPERATIONAL ANALYSIS TO URBAN EDUCATIONAL SYSTEMS, A WORKING PAPER.

    ERIC Educational Resources Information Center

    SISSON, ROGER L.

    OPERATIONS RESEARCH CONCEPTS ARE POTENTIALLY USEFUL FOR STUDY OF SUCH LARGE URBAN SCHOOL DISTRICT PROBLEMS AS INFORMATION FLOW, PHYSICAL STRUCTURE OF THE DISTRICT, ADMINISTRATIVE DECISION MAKING BOARD POLICY FUNCTIONS, AND THE BUDGET STRUCTURE. OPERATIONAL ANALYSIS REQUIRES (1) IDENTIFICATION OF THE SYSTEM UNDER STUDY, (2) IDENTIFICATION OF…

  11. Identification of Parts Failures. FOS: Fundamentals of Service.

    ERIC Educational Resources Information Center

    John Deere Co., Moline, IL.

    This parts failures identification manual is one of a series of power mechanics texts and visual aids covering theory of operation, diagnosis of trouble problems, and repair of automotive and off-the-road construction and agricultural equipment. Materials provide basic information with many illustrations for use by vocational students and teachers…

  12. Features of computerized clinical decision support systems supportive of nursing practice: a literature review.

    PubMed

    Lee, Seonah

    2013-10-01

    This study aimed to organize the system features of decision support technologies targeted at nursing practice into assessment, problem identification, care plans, implementation, and outcome evaluation. It also aimed to identify the range of the five stage-related sequential decision supports that computerized clinical decision support systems provided. MEDLINE, CINAHL, and EMBASE were searched. A total of 27 studies were reviewed. The system features collected represented the characteristics of each category from patient assessment to outcome evaluation. Several features were common across the reviewed systems. For the sequential decision support, all of the reviewed systems provided decision support in sequence for patient assessment and care plans. Fewer than half of the systems included problem identification. There were only three systems operating in an implementation stage and four systems in outcome evaluation. Consequently, the key steps for sequential decision support functions were initial patient assessment, problem identification, care plan, and outcome evaluation. Providing decision support in such a full scope will effectively help nurses' clinical decision making. By organizing the system features, a comprehensive picture of nursing practice-oriented computerized decision support systems was obtained; however, the development of a guideline for better systems should go beyond the scope of a literature review.

  13. Taxonomic challenges in freshwater fishes: a mismatch between morphology and DNA barcoding in fish of the north-eastern part of the Congo basin.

    PubMed

    Decru, Eva; Moelants, Tuur; De Gelas, Koen; Vreven, Emmanuel; Verheyen, Erik; Snoeks, Jos

    2016-01-01

    This study evaluates the utility of DNA barcoding to traditional morphology-based species identifications for the fish fauna of the north-eastern Congo basin. We compared DNA sequences (COI) of 821 samples from 206 morphologically identified species. Best match, best close match and all species barcoding analyses resulted in a rather low identification success of 87.5%, 84.5% and 64.1%, respectively. The ratio 'nearest-neighbour distance/maximum intraspecific divergence' was lower than 1 for 26.1% of the samples, indicating possible taxonomic problems. In ten genera, belonging to six families, the number of species inferred from mtDNA data exceeded the number of species identified using morphological features; and in four cases indications of possible synonymy were detected. Finally, the DNA barcodes confirmed previously known identification problems within certain genera of the Clariidae, Cyprinidae and Mormyridae. Our results underscore the large number of taxonomic problems lingering in the taxonomy of the fish fauna of the Congo basin and illustrate why DNA barcodes will contribute to future efforts to compile a reliable taxonomic inventory of the Congo basin fish fauna. Therefore, the obtained barcodes were deposited in the reference barcode library of the Barcode of Life Initiative. © 2015 John Wiley & Sons Ltd.

  14. Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans.

    PubMed

    Zhan, Mei; Crane, Matthew M; Entchev, Eugeni V; Caballero, Antonio; Fernandes de Abreu, Diana Andrea; Ch'ng, QueeLim; Lu, Hang

    2015-04-01

    Quantitative imaging has become a vital technique in biological discovery and clinical diagnostics; a plethora of tools have recently been developed to enable new and accelerated forms of biological investigation. Increasingly, the capacity for high-throughput experimentation provided by new imaging modalities, contrast techniques, microscopy tools, microfluidics and computer controlled systems shifts the experimental bottleneck from the level of physical manipulation and raw data collection to automated recognition and data processing. Yet, despite their broad importance, image analysis solutions to address these needs have been narrowly tailored. Here, we present a generalizable formulation for autonomous identification of specific biological structures that is applicable for many problems. The process flow architecture we present here utilizes standard image processing techniques and the multi-tiered application of classification models such as support vector machines (SVM). These low-level functions are readily available in a large array of image processing software packages and programming languages. Our framework is thus both easy to implement at the modular level and provides specific high-level architecture to guide the solution of more complicated image-processing problems. We demonstrate the utility of the classification routine by developing two specific classifiers as a toolset for automation and cell identification in the model organism Caenorhabditis elegans. To serve a common need for automated high-resolution imaging and behavior applications in the C. elegans research community, we contribute a ready-to-use classifier for the identification of the head of the animal under bright field imaging. Furthermore, we extend our framework to address the pervasive problem of cell-specific identification under fluorescent imaging, which is critical for biological investigation in multicellular organisms or tissues. Using these examples as a guide, we envision the broad utility of the framework for diverse problems across different length scales and imaging methods.

  15. Parameter identification for nonlinear aerodynamic systems

    NASA Technical Reports Server (NTRS)

    Pearson, Allan E.

    1991-01-01

    Work continues on frequency analysis for transfer function identification, both with respect to the continued development of the underlying algorithms and in the identification study of two physical systems. Some new results of a theoretical nature were recently obtained that lend further insight into the frequency domain interpretation of the research. Progress in each of those areas is summarized. Although not related to the system identification problem, some new results were obtained on the feedback stabilization of linear time lag systems.

  16. USGS invasive species solutions

    USGS Publications Warehouse

    Simpson, Annie

    2011-01-01

    Land managers must meet the invasive species challenge every day, starting with identification of problem species, then the collection of best practices for their control, and finally the implementation of a plan to remove the problem. At each step of the process, the availability of reliable information is essential to success. The U.S. Geological Survey (USGS) has developed a suite of resources for early detection and rapid response, along with data management and sharing.

  17. Army Research Laboratory. 1999 Annual Review

    DTIC Science & Technology

    1999-01-01

    identification, and tracking of moving vehicles. Sound scattering in the air is caused by fluctuations in temperature, Cj , and winds, C*. Most Army models of...realistic inhomogeneous atmosphere. Hill Three-Dimensional Modeling and Simulation of Kinetic Energy Penetrators and Armor Materials During Ballistic...versions of these tools have been tested on a model muzzle brake fluid flow problem for ARDEC Benet Labs and on a helicopter rotor aerody- namics problem

  18. Pilot interaction with automated airborne decision making systems

    NASA Technical Reports Server (NTRS)

    Rouse, W. B.; Hammer, J. M.; Morris, N. M.; Knaeuper, A. E.; Brown, E. N.; Lewis, C. M.; Yoon, W. C.

    1984-01-01

    Two project areas were pursued: the intelligent cockpit and human problem solving. The first area involves an investigation of the use of advanced software engineering methods to aid aircraft crews in procedure selection and execution. The second area is focused on human problem solving in dynamic environments, particulary in terms of identification of rule-based models land alternative approaches to training and aiding. Progress in each area is discussed.

  19. Evaluation of the Pediatric Symptom Checklist as a screening tool for the identification of emotional and psychosocial problems

    PubMed Central

    Muzzolon, Sandra Regina B.; Cat, Mônica Nunes L.; dos Santos, Lúcia Helena C.

    2013-01-01

    OBJECTIVE To investigate the Brazilian version of Pediatric Symptom Checklist (PSC) as a screening tool to identify psychosocial and emotional problems in schoolchildren from six to 12 years old. METHODS Diagnostic test conducted in a public school of Curitiba, Paraná (Southern Brazil), to evaluate the PSC accuracy and consistency, considering the Child Behavior Checklist (CBCL) as the gold standard. Among 415 parents invited for the study, 145 responded to both PSC and CBCL. The results of the two instruments were compared. PSC and CBCL were considered positive if scores ≥28 and >70 respectively. RESULTS Among the 145 cases, 49 (33.8%) were positive for both PSC and CBCL. The ROC curve showed the PSC score of 21 as the best cutoff point for screening psychosocial and emotional problems, with a sensitivity of 96.8% and a specificity of 86.7%. Regarding the reference cutoff (score ≥28 points), the sensitivity was 64.5% and the specificity, 100.0%, similar to those found in the original version of the tool. CONCLUSIONS The Portuguese version of PSC was effective for early identification of emotional and/or psychosocial problems in a schoolchildren group and may be useful for pediatricians. PMID:24142319

  20. [Geriatric assessment. Development, status quo and perspectives].

    PubMed

    Lüttje, D; Varwig, D; Teigel, B; Gilhaus, B

    2011-08-01

    Multimorbidity is typical for geriatric patients. Problems not identified in time may lead to increased hospitalisation or prolonged hospital stay. Problems of multimorbidity are not covered by most guidelines or clinical pathways. The geriatric assessment supports standard clinical and technical assessment. Geriatric identification screening is basic for general practitioners and in emergency rooms to filter those patients bearing a special risk. Geriatric basic assessment covers most of the problems relevant for people in old age, revealing even problems that had so far been hidden. It permits to structure a comprehensive and holistic therapeutic approach and to evaluate the targets of treatment relevant for independent living and well-being. This results in reduction of morbidity and mortality. Assessment tools focusing on pain, nutrition and frailty should be added to the standardized geriatric basic assessment in Germany.

  1. Approximate Arithmetic Training Improves Informal Math Performance in Low Achieving Preschoolers

    PubMed Central

    Szkudlarek, Emily; Brannon, Elizabeth M.

    2018-01-01

    Recent studies suggest that practice with approximate and non-symbolic arithmetic problems improves the math performance of adults, school aged children, and preschoolers. However, the relative effectiveness of approximate arithmetic training compared to available educational games, and the type of math skills that approximate arithmetic targets are unknown. The present study was designed to (1) compare the effectiveness of approximate arithmetic training to two commercially available numeral and letter identification tablet applications and (2) to examine the specific type of math skills that benefit from approximate arithmetic training. Preschool children (n = 158) were pseudo-randomly assigned to one of three conditions: approximate arithmetic, letter identification, or numeral identification. All children were trained for 10 short sessions and given pre and post tests of informal and formal math, executive function, short term memory, vocabulary, alphabet knowledge, and number word knowledge. We found a significant interaction between initial math performance and training condition, such that children with low pretest math performance benefited from approximate arithmetic training, and children with high pretest math performance benefited from symbol identification training. This effect was restricted to informal, and not formal, math problems. There were also effects of gender, socio-economic status, and age on post-test informal math score after intervention. A median split on pretest math ability indicated that children in the low half of math scores in the approximate arithmetic training condition performed significantly better than children in the letter identification training condition on post-test informal math problems when controlling for pretest, age, gender, and socio-economic status. Our results support the conclusion that approximate arithmetic training may be especially effective for children with low math skills, and that approximate arithmetic training improves early informal, but not formal, math skills. PMID:29867624

  2. Approximate Arithmetic Training Improves Informal Math Performance in Low Achieving Preschoolers.

    PubMed

    Szkudlarek, Emily; Brannon, Elizabeth M

    2018-01-01

    Recent studies suggest that practice with approximate and non-symbolic arithmetic problems improves the math performance of adults, school aged children, and preschoolers. However, the relative effectiveness of approximate arithmetic training compared to available educational games, and the type of math skills that approximate arithmetic targets are unknown. The present study was designed to (1) compare the effectiveness of approximate arithmetic training to two commercially available numeral and letter identification tablet applications and (2) to examine the specific type of math skills that benefit from approximate arithmetic training. Preschool children ( n = 158) were pseudo-randomly assigned to one of three conditions: approximate arithmetic, letter identification, or numeral identification. All children were trained for 10 short sessions and given pre and post tests of informal and formal math, executive function, short term memory, vocabulary, alphabet knowledge, and number word knowledge. We found a significant interaction between initial math performance and training condition, such that children with low pretest math performance benefited from approximate arithmetic training, and children with high pretest math performance benefited from symbol identification training. This effect was restricted to informal, and not formal, math problems. There were also effects of gender, socio-economic status, and age on post-test informal math score after intervention. A median split on pretest math ability indicated that children in the low half of math scores in the approximate arithmetic training condition performed significantly better than children in the letter identification training condition on post-test informal math problems when controlling for pretest, age, gender, and socio-economic status. Our results support the conclusion that approximate arithmetic training may be especially effective for children with low math skills, and that approximate arithmetic training improves early informal, but not formal, math skills.

  3. [Morphological verification problems of Chernobyl factor influence on the testis of coal miners of Donbas-liquidators of Chernobyl accident].

    PubMed

    Danylov, Iu V; Motkov, K V; Shevchenko, T I

    2013-01-01

    Problem of a diagnostic of Chernobyl factor influences on different organs and systems of Chernobyl accident liquidators are remain actually until now. Though morbidly background which development at unfavorable work conditions in underground coalminers prevents from objective identification features of Chernobyl factor influences. The qualitative and quantitative histological and immunohistochemical law of morphogenesis changes in testis of Donbas's coalminer - non-liquidators Chernobyl accident in comparison with the group of Donbas's coalminers-liquidators Chernobyl accident, which we were stationed non determined problem. This reason stipulates to development and practical use of mathematical model of morphogenesis of a testis changes.

  4. [Morphological verification problems of Chernobyl factor influence on the prostate of coalminers of Donbas--liquidators of Chernobyl accident].

    PubMed

    Danylov, Iu V; Motkov, K V; Shevchenko, T I

    2013-12-01

    Problem of a diagnostic of Chernobyl factor influences on different organs and systems of Chernobyl accident liquidators are remain actually until now. Though morbidly background which development at unfavorable work conditions in underground coalminers prevents from objective identification features of Chernobyl factor influences. The qualitative and quantitative histological and immunohistochemical law of morphogenesis changes in prostate of Donbas's coalminer-non-liquidators Chernobyl accident in comparison with the group of Donbas's coalminers-liquidators Chernobyl accident which we were stationed non determined problem. This reason stipulates to development and practical use of mathematical model of morphogenesis of a prostatic gland changes.

  5. Least-squares sequential parameter and state estimation for large space structures

    NASA Technical Reports Server (NTRS)

    Thau, F. E.; Eliazov, T.; Montgomery, R. C.

    1982-01-01

    This paper presents the formulation of simultaneous state and parameter estimation problems for flexible structures in terms of least-squares minimization problems. The approach combines an on-line order determination algorithm, with least-squares algorithms for finding estimates of modal approximation functions, modal amplitudes, and modal parameters. The approach combines previous results on separable nonlinear least squares estimation with a regression analysis formulation of the state estimation problem. The technique makes use of sequential Householder transformations. This allows for sequential accumulation of matrices required during the identification process. The technique is used to identify the modal prameters of a flexible beam.

  6. On the identification of a harmonic force on a viscoelastic plate from response data

    NASA Technical Reports Server (NTRS)

    D'Cruz, J.; Crisp, J. D. C.; Ryall, T. G.

    1992-01-01

    The problem of determining the force acting on a structure from measurements of the response of the structure to the force is an inverse problem. Presented is a method for determining the location, magnitude, and phase of a harmonic point force acting on a simply-supported classical viscoelastic rectangular plate from a number of displacement readings at discrete points on the plate. Presented also is a demonstration of the robustness of the solution technique to the effects of measurement noise as well as a means by which problems involving more general structural and loading configurations may be solved.

  7. Cannabis-Related Problems and Social Anxiety: The Mediational Role of Post-Event Processing.

    PubMed

    Ecker, Anthony H; Buckner, Julia D

    2018-01-02

    Cannabis is the most commonly used illicit drug in the US, and is associated with a range of psychological, social, and physical health-related problems. Individuals who endorse elevated levels of social anxiety are especially at risk for experiencing cannabis-related problems, including cannabis use disorder, despite not using cannabis more often than those with more normative social anxiety. Identification of mechanisms that underlie the relationship between social anxiety and cannabis-related problems may inform treatment and prevention efforts. Post-event processing (PEP, i.e., cognitively reviewing past social interactions/performances) is a social anxiety-related phenomenon that may be one such mechanism. The current study sought to test PEP as a mediator of the relationship between social anxiety and cannabis-related problems, adjusting for cannabis use frequency. Cannabis-using (past 3-month) undergraduate students recruited in 2015 (N = 244; 76.2% female; 74.2% Non-Hispanic Caucasian) completed an online survey of cannabis use, cannabis-related problems, social anxiety, and PEP. Bootstrap estimate of the indirect effect of social anxiety through PEP was significant, suggesting PEP is a mediator of the social anxiety-cannabis-related problems relationship. Conclusions/Importance: Treatment and prevention efforts may benefit from targeting PEP among individuals with elevated social anxiety and cannabis-related problems.

  8. Sound vibration signal processing for detection and identification detonation (knock) to optimize performance Otto engine

    NASA Astrophysics Data System (ADS)

    Sujono, A.; Santoso, B.; Juwana, W. E.

    2016-03-01

    Problems of detonation (knock) on Otto engine (petrol engine) is completely unresolved problem until now, especially if want to improve the performance. This research did sound vibration signal processing engine with a microphone sensor, for the detection and identification of detonation. A microphone that can be mounted is not attached to the cylinder block, that's high temperature, so that its performance will be more stable, durable and inexpensive. However, the method of analysis is not very easy, because a lot of noise (interference). Therefore the use of new methods of pattern recognition, through filtration, and the regression function normalized envelope. The result is quite good, can achieve a success rate of about 95%.

  9. Computational methods for the identification of spatially varying stiffness and damping in beams

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Rosen, I. G.

    1986-01-01

    A numerical approximation scheme for the estimation of functional parameters in Euler-Bernoulli models for the transverse vibration of flexible beams with tip bodies is developed. The method permits the identification of spatially varying flexural stiffness and Voigt-Kelvin viscoelastic damping coefficients which appear in the hybrid system of ordinary and partial differential equations and boundary conditions describing the dynamics of such structures. An inverse problem is formulated as a least squares fit to data subject to constraints in the form of a vector system of abstract first order evolution equations. Spline-based finite element approximations are used to finite dimensionalize the problem. Theoretical convergence results are given and numerical studies carried out on both conventional (serial) and vector computers are discussed.

  10. An Approach for Peptide Identification by De Novo Sequencing of Mixture Spectra.

    PubMed

    Liu, Yi; Ma, Bin; Zhang, Kaizhong; Lajoie, Gilles

    2017-01-01

    Mixture spectra occur quite frequently in a typical wet-lab mass spectrometry experiment, which result from the concurrent fragmentation of multiple precursors. The ability to efficiently and confidently identify mixture spectra is essential to alleviate the existent bottleneck of low mass spectra identification rate. However, most of the traditional computational methods are not suitable for interpreting mixture spectra, because they still take the assumption that the acquired spectra come from the fragmentation of a single precursor. In this manuscript, we formulate the mixture spectra de novo sequencing problem mathematically, and propose a dynamic programming algorithm for the problem. Additionally, we use both simulated and real mixture spectra data sets to verify the merits of the proposed algorithm.

  11. Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building

    PubMed Central

    Min, Kyung-Won; Kim, Junhee; Park, Sung-Ah; Park, Chan-Soo

    2013-01-01

    This paper investigates dynamic characteristics of a historic wooden structure by ambient vibration testing, presenting a novel estimation methodology of story stiffness for the purpose of vibration-based structural health monitoring. As for the ambient vibration testing, measured structural responses are analyzed by two output-only system identification methods (i.e., frequency domain decomposition and stochastic subspace identification) to estimate modal parameters. The proposed methodology of story stiffness is estimation based on an eigenvalue problem derived from a vibratory rigid body model. Using the identified natural frequencies, the eigenvalue problem is efficiently solved and uniquely yields story stiffness. It is noteworthy that application of the proposed methodology is not necessarily confined to the wooden structure exampled in the paper. PMID:24227999

  12. Recent Applications of the Volterra Theory to Aeroelastic Phenomena

    NASA Technical Reports Server (NTRS)

    Silva, Walter A.; Haji, Muhammad R; Prazenica, Richard J.

    2005-01-01

    The identification of nonlinear aeroelastic systems based on the Volterra theory of nonlinear systems is presented. Recent applications of the theory to problems in experimental aeroelasticity are reviewed. These results include the identification of aerodynamic impulse responses, the application of higher-order spectra (HOS) to wind-tunnel flutter data, and the identification of nonlinear aeroelastic phenomena from flight flutter test data of the Active Aeroelastic Wing (AAW) aircraft.

  13. Anti-collision radio-frequency identification system using passive SAW tags

    NASA Astrophysics Data System (ADS)

    Sorokin, A. V.; Shepeta, A. P.

    2017-06-01

    Modern multi sensor systems should have high operating speed and resistance to climate impacts. Radiofrequency systems use passive SAW tags for identification items and vehicles. These tags find application in industry, traffic remote control systems, and railway remote traffic control systems for identification and speed measuring. However, collision of the passive SAW RFID tags hinders development passive RFID SAW technology in Industry. The collision problem for passive SAW tags leads for incorrect identification and encoding each tag. In our researching, we suggest approach for identification of several passive SAW tags in collision case.

  14. Paternal ADHD Symptoms and Child Conduct Problems: Is Father Involvement Always Beneficial?

    PubMed Central

    Romirowsky, Abigail Mintz; Chronis-Tuscano, Andrea

    2013-01-01

    Background Maternal psychopathology robustly predicts poor developmental and treatment outcomes for children with attention-deficit/hyperactivity disorder (ADHD). Despite the high heritability of ADHD, few studies have examined associations between paternal ADHD symptoms and child adjustment, and none have also considered degree of paternal involvement in childrearing. Identification of modifiable risk factors for child conduct problems is particularly important in this population given the serious adverse outcomes resulting from this comorbidity. Methods This cross-sectional study examined the extent to which paternal involvement in childrearing moderated the association between paternal ADHD symptoms and child conduct problems among 37 children with ADHD and their biological fathers. Results Neither paternal ADHD symptoms nor involvement was independently associated with child conduct problems. However, the interaction between paternal ADHD symptoms and involvement was significant, such that paternal ADHD symptoms were positively associated with child conduct problems only when fathers were highly involved in childrearing. Conclusions The presence of adult ADHD symptoms may determine whether father involvement in childrearing has a positive or detrimental influence on comorbid child conduct problems. PMID:25250402

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

    NASA Astrophysics Data System (ADS)

    Mulyono; Hadiyanti, R.

    2018-03-01

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

  16. Change Agent Research for Windsor Aquatic Club (CAR/WAC).

    ERIC Educational Resources Information Center

    Moriarty, Dick; Olafson, Gord

    This study of the Windsor Aquatic Club (WAC) was undertaken to investigate the following problems and questions: (a) identification of goals; (b) conflict in the interface of age class and school class swimming, as well as the interface of municipal, regional, provincial, federal, and international organizations; (c) identification of task,…

  17. Relationships between digital signal processing and control and estimation theory

    NASA Technical Reports Server (NTRS)

    Willsky, A. S.

    1978-01-01

    Research areas associated with digital signal processing and control and estimation theory are identified. Particular attention is given to image processing, system identification problems (parameter identification, linear prediction, least squares, Kalman filtering), stability analyses (the use of the Liapunov theory, frequency domain criteria, passivity), and multiparameter systems, distributed processes, and random fields.

  18. Identification of Students with Dyslexia in California Public Schools

    ERIC Educational Resources Information Center

    Futterman, Kathy R.

    2017-01-01

    One of the key problems facing public education today is the need for early and accurate identification of students with dyslexia. Students with dyslexia in public schools have historically been largely ignored or under-identified. California public school educators and administrators need to understand what dyslexia is and how to accurately…

  19. A Minority Student Data Bank and More: The Ultimate College Identification and Tracking System.

    ERIC Educational Resources Information Center

    Cruz, Ramon

    The computerized Identification-Placement-Tracking-System (IPTS) was developed at the University of California, Los Angeles, Educational Opportunity Center (EOC) as a remedy to problems in interschool coordination. As the IPTS currently functions, the EOC students select up to three colleges of interest for future matriculation. The schools are…

  20. ION COMPOSITION ELUCIDATION (ICE): A HIGH RESOLUTION MASS SPECTROMETRIC TECHNIQUE FOR CHARACTERIZATION AND IDENTIFICATION OF ORGANIC COMPOUNDS

    EPA Science Inventory

    Identifying compounds found in the environment without knowledge of their origin is a very difficult analytical problem. Comparison of the low resolution mass spectrum of a compound with those in the NIST or Wiley mass spectral libraries can provide a tentative identification whe...

  1. The Use of Teacher-Judgment Measures in the Identification of Gifted Pupils.

    ERIC Educational Resources Information Center

    Hoge, Robert D.; Cudmore, Laurinda

    The paper intends to assess the psychometric properties of teacher-judgment measures for identifying gifted students in terms of the available empirical data. Problems of definition are cited, and the neglect and disparagement of teacher judgments as an alternative identification strategy are noted. The major conclusion from the review is that…

  2. Survey of adaptive control using Liapunov design

    NASA Technical Reports Server (NTRS)

    Lindorff, D. P.; Carroll, R. L.

    1973-01-01

    A survey of the literature in which Liapunov's second method is used in determining the control law is presented, with emphasis placed on the model-tracking adaptive control problem. Forty references are listed. Following a brief tutorial exposition of the adaptive control problem, the techniques for treating reduction of order, disturbance and time-varying parameters, multivariable systems, identification, and adaptive observers are discussed. The method is critically evaluated, particularly with respect to possibilities for application.

  3. Semiannual report, 1 April - 30 September 1991

    NASA Technical Reports Server (NTRS)

    1991-01-01

    The major categories of the current Institute for Computer Applications in Science and Engineering (ICASE) research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification problems, with emphasis on effective numerical methods; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software for parallel computers. Research in these areas is discussed.

  4. Cutoffs, Norms, and Patterns of Problem Behaviors in Children with an ASD on the Baby and Infant Screen for Children with aUtIsm Traits (BISCUIT-Part 3)

    ERIC Educational Resources Information Center

    Rojahn, Johannes; Matson, Johnny L.; Mahan, Sara; Fodstad, Jill C.; Knight, Cheryl; Sevin, Jay A.; Sharp, Brenda

    2009-01-01

    Challenging behaviors are common and persistent in persons with autism spectrum disorders (ASDs). Best practices dictate that symptoms of ASD and these co-occurring problems be identified and then treated at the earliest possible age. Having said this, there has been a dearth of available assessment methods to make sure identifications in infants…

  5. Unique Problems in Prosecuting Child Abuse Cases Overseas

    DTIC Science & Technology

    1991-04-01

    This thesis examines the unique problems present in prosecuting military family child abuse cases in the Republic of Korea (ROK). Research has shown...that military families overseas tend to have higher levels of stress, hence they tend to be more prone to violence. Child abuse statistics bear this...out. The thesis postulates that the reason why the identification, treatment, and prosecution of child abuse is more difficult in the ROK is partially

  6. Re-introducing Conceptual and Detailed Planning: Differentiating Between Decision Making and Problem Identification

    DTIC Science & Technology

    2012-05-17

    emphasizes its importance. BG Edward Cardon and LTC Steve Leonard point out, “many of the concepts underpinning design are not...70 BG Edward C. Cardon and LTC Steve Leonard, “Unleashing Design; Planning and the Art of Battle Command,” Military Review Mar...Apr (2010): 2. 71 Cardon and Leonard, “Unleashing Design; Planning and the Art of Battle Command,” 3. 33 structured problems using complexity theory

  7. Measuring the drinking behaviour of individual pigs housed in group using radio frequency identification (RFID).

    PubMed

    Maselyne, J; Adriaens, I; Huybrechts, T; De Ketelaere, B; Millet, S; Vangeyte, J; Van Nuffel, A; Saeys, W

    2016-09-01

    Changes in the drinking behaviour of pigs may indicate health, welfare or productivity problems. Automated monitoring and analysis of drinking behaviour could allow problems to be detected, thus improving farm productivity. A high frequency radio frequency identification (HF RFID) system was designed to register the drinking behaviour of individual pigs. HF RFID antennas were placed around four nipple drinkers and connected to a reader via a multiplexer. A total of 55 growing-finishing pigs were fitted with radio frequency identification (RFID) ear tags, one in each ear. RFID-based drinking visits were created from the RFID registrations using a bout criterion and a minimum and maximum duration criterion. The HF RFID system was successfully validated by comparing RFID-based visits with visual observations and flow meter measurements based on visit overlap. Sensitivity was at least 92%, specificity 93%, precision 90% and accuracy 93%. RFID-based drinking duration had a high correlation with observed drinking duration (R 2=0.88) and water usage (R 2=0.71). The number of registrations after applying the visit criteria had an even higher correlation with the same two variables (R 2=0.90 and 0.75, respectively). There was also a correlation between number of RFID visits and number of observed visits (R 2=0.84). The system provides good quality information about the drinking behaviour of individual pigs. As health or other problems affect the pigs' drinking behaviour, analysis of the RFID data could allow problems to be detected and signalled to the farmer. This information can help to improve the productivity and economics of the farm as well as the health and welfare of the pigs.

  8. Can we match ultraviolet face images against their visible counterparts?

    NASA Astrophysics Data System (ADS)

    Narang, Neeru; Bourlai, Thirimachos; Hornak, Lawrence A.

    2015-05-01

    In law enforcement and security applications, the acquisition of face images is critical in producing key trace evidence for the successful identification of potential threats. However, face recognition (FR) for face images captured using different camera sensors, and under variable illumination conditions, and expressions is very challenging. In this paper, we investigate the advantages and limitations of the heterogeneous problem of matching ultra violet (from 100 nm to 400 nm in wavelength) or UV, face images against their visible (VIS) counterparts, when all face images are captured under controlled conditions. The contributions of our work are three-fold; (i) We used a camera sensor designed with the capability to acquire UV images at short-ranges, and generated a dual-band (VIS and UV) database that is composed of multiple, full frontal, face images of 50 subjects. Two sessions were collected that span over the period of 2 months. (ii) For each dataset, we determined which set of face image pre-processing algorithms are more suitable for face matching, and, finally, (iii) we determined which FR algorithm better matches cross-band face images, resulting in high rank-1 identification rates. Experimental results show that our cross spectral matching (the heterogeneous problem, where gallery and probe sets consist of face images acquired in different spectral bands) algorithms achieve sufficient identification performance. However, we also conclude that the problem under study, is very challenging, and it requires further investigation to address real-world law enforcement or military applications. To the best of our knowledge, this is first time in the open literature the problem of cross-spectral matching of UV against VIS band face images is being investigated.

  9. An Examination of the Developmental Propensity Model of Conduct Problems

    PubMed Central

    Rhee, Soo Hyun; Friedman, Naomi P.; Corley, Robin P.; Hewitt, John K.; Hink, Laura K.; Johnson, Daniel P.; Watts, Ashley K. Smith; Young, Susan E.; Robinson, JoAnn; Waldman, Irwin D.; Zahn-Waxler, Carolyn

    2015-01-01

    The present study tested specific hypotheses advanced by the developmental propensity model of the etiology of conduct problems in the Colorado Longitudinal Twin Study, a prospective, longitudinal, genetically informative sample. High negative emotionality, low behavioral inhibition, low concern and high disregard for others, and low cognitive ability assessed during toddlerhood (age 14 to 36 months) were examined as predictors of conduct problems in later childhood and adolescence (age 4 to 17 years). Each hypothesized antisocial propensity dimension predicted conduct problems, but some predictions may be context specific or due to method covariance. The most robust predictors were observed disregard for others (i.e., responding to others’ distress with active, negative responses such as anger and hostility), general cognitive ability, and language ability, which were associated with conduct problems reported by parents, teachers, and adolescents, and change in observed negative emotionality (i.e., frustration tolerance), which was associated with conduct problems reported by teachers and adolescents. Furthermore, associations between the most robust early predictors and later conduct problems were influenced by the shared environment rather than genes. We conclude that shared environmental influences that promote disregard for others and detract from cognitive and language development during toddlerhood also predispose individuals to conduct problems in later childhood and adolescence. The identification of those shared environmental influences common to early antisocial propensity and later conduct problems is an important future direction, and additional developmental behavior genetic studies examining the interaction between children’s characteristics and socializing influences on conduct problems are needed. PMID:26653135

  10. Parameter estimation in nonlinear distributed systems - Approximation theory and convergence results

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Reich, Simeon; Rosen, I. G.

    1988-01-01

    An abstract approximation framework and convergence theory is described for Galerkin approximations applied to inverse problems involving nonlinear distributed parameter systems. Parameter estimation problems are considered and formulated as the minimization of a least-squares-like performance index over a compact admissible parameter set subject to state constraints given by an inhomogeneous nonlinear distributed system. The theory applies to systems whose dynamics can be described by either time-independent or nonstationary strongly maximal monotonic operators defined on a reflexive Banach space which is densely and continuously embedded in a Hilbert space. It is demonstrated that if readily verifiable conditions on the system's dependence on the unknown parameters are satisfied, and the usual Galerkin approximation assumption holds, then solutions to the approximating problems exist and approximate a solution to the original infinite-dimensional identification problem.

  11. Performance improvement of multi-class detection using greedy algorithm for Viola-Jones cascade selection

    NASA Astrophysics Data System (ADS)

    Tereshin, Alexander A.; Usilin, Sergey A.; Arlazarov, Vladimir V.

    2018-04-01

    This paper aims to study the problem of multi-class object detection in video stream with Viola-Jones cascades. An adaptive algorithm for selecting Viola-Jones cascade based on greedy choice strategy in solution of the N-armed bandit problem is proposed. The efficiency of the algorithm on the problem of detection and recognition of the bank card logos in the video stream is shown. The proposed algorithm can be effectively used in documents localization and identification, recognition of road scene elements, localization and tracking of the lengthy objects , and for solving other problems of rigid object detection in a heterogeneous data flows. The computational efficiency of the algorithm makes it possible to use it both on personal computers and on mobile devices based on processors with low power consumption.

  12. Application of Dynamic Logic Algorithm to Inverse Scattering Problems Related to Plasma Diagnostics

    NASA Astrophysics Data System (ADS)

    Perlovsky, L.; Deming, R. W.; Sotnikov, V.

    2010-11-01

    In plasma diagnostics scattering of electromagnetic waves is widely used for identification of density and wave field perturbations. In the present work we use a powerful mathematical approach, dynamic logic (DL), to identify the spectra of scattered electromagnetic (EM) waves produced by the interaction of the incident EM wave with a Langmuir soliton in the presence of noise. The problem is especially difficult since the spectral amplitudes of the noise pattern are comparable with the amplitudes of the scattered waves. In the past DL has been applied to a number of complex problems in artificial intelligence, pattern recognition, and signal processing, resulting in revolutionary improvements. Here we demonstrate its application to plasma diagnostic problems. [4pt] Perlovsky, L.I., 2001. Neural Networks and Intellect: using model-based concepts. Oxford University Press, New York, NY.

  13. A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record.

    PubMed

    Wright, Adam; Pang, Justine; Feblowitz, Joshua C; Maloney, Francine L; Wilcox, Allison R; Ramelson, Harley Z; Schneider, Louise I; Bates, David W

    2011-01-01

    Accurate knowledge of a patient's medical problems is critical for clinical decision making, quality measurement, research, billing and clinical decision support. Common structured sources of problem information include the patient problem list and billing data; however, these sources are often inaccurate or incomplete. To develop and validate methods of automatically inferring patient problems from clinical and billing data, and to provide a knowledge base for inferring problems. We identified 17 target conditions and designed and validated a set of rules for identifying patient problems based on medications, laboratory results, billing codes, and vital signs. A panel of physicians provided input on a preliminary set of rules. Based on this input, we tested candidate rules on a sample of 100,000 patient records to assess their performance compared to gold standard manual chart review. The physician panel selected a final rule for each condition, which was validated on an independent sample of 100,000 records to assess its accuracy. Seventeen rules were developed for inferring patient problems. Analysis using a validation set of 100,000 randomly selected patients showed high sensitivity (range: 62.8-100.0%) and positive predictive value (range: 79.8-99.6%) for most rules. Overall, the inference rules performed better than using either the problem list or billing data alone. We developed and validated a set of rules for inferring patient problems. These rules have a variety of applications, including clinical decision support, care improvement, augmentation of the problem list, and identification of patients for research cohorts.

  14. Video game genre as a predictor of problem use.

    PubMed

    Elliott, Luther; Golub, Andrew; Ream, Geoffrey; Dunlap, Eloise

    2012-03-01

    This study assessed how problem video game playing (PVP) varies with game type, or "genre," among adult video gamers. Participants (n=3,380) were adults (18+) who reported playing video games for 1 hour or more during the past week and completed a nationally representative online survey. The survey asked about characteristics of video game use, including titles played in the past year and patterns of (problematic) use. Participants self-reported the extent to which characteristics of PVP (e.g., playing longer than intended) described their game play. Five percent of our sample reported moderate to extreme problems. PVP was concentrated among persons who reported playing first-person shooter, action adventure, role-playing, and gambling games most during the past year. The identification of a subset of game types most associated with problem use suggests new directions for research into the specific design elements and reward mechanics of "addictive" video games and those populations at greatest risk of PVP with the ultimate goal of better understanding, preventing, and treating this contemporary mental health problem.

  15. Identification of related gene/protein names based on an HMM of name variations.

    PubMed

    Yeganova, L; Smith, L; Wilbur, W J

    2004-04-01

    Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important problems in natural language processing. First, can one locate the names of genes or proteins in free text, and second, can one determine when two names denote the same gene or protein? The first of these problems is a special case of the problem of named entity recognition, while the second is a special case of the problem of automatic term recognition (ATR). We study the second problem, that of gene or protein name variation. Here we describe a system which, given a query gene or protein name, identifies related gene or protein names in a large list. The system is based on a dynamic programming algorithm for sequence alignment in which the mutation matrix is allowed to vary under the control of a fully trainable hidden Markov model.

  16. How definition of mental health problems can influence help seeking in rural and remote communities.

    PubMed

    Fuller, J; Edwards, J; Procter, N; Moss, J

    2000-06-01

    The present study sought to understand the rural and remote influences on people's identification of, and response to, mental health problems. Twenty-two key informants living in northern and western South Australia were interviewed. They included mental health and generalist health professionals, other human service workers and mental health consumers. Three themes are reported here: reluctance to acknowledge mental health problems and the avoidance of appropriate help; stigma and the avoidance of mental health services; and the influence of rural and remote circumstances. Most informants considered that many mental health problems were amenable to help from generalist workers, with backup support from mental health specialists. Informants thought this intervention to be appropriate because a common view of mental health problems as 'insanity' and a culture of self-reliance created a reluctance to seek help from a mental health specialist. These themes need to be taken into account when designing mental health interventions for rural and remote communities.

  17. Jocks, gender, race, and adolescent problem drinking.

    PubMed

    Miller, Kathleen E; Hoffman, Joseph H; Barnes, Grace M; Farrell, Michael P; Sabo, Don; Melnick, Merrill J

    2003-01-01

    Alcohol remains the drug of choice for many adolescents; however, the nature of the relationship between athletic involvement and alcohol misuse remains ambiguous. In this article, we used a longitudinal sample of over 600 Western New York adolescents and their families to explore the gender-specific and race-specific relationships between identification with the "jock" label and adolescent alcohol consumption, specifically problem drinking. Operationalization of problem drinking included frequency measures of heavy drinking, binge drinking, and social problems related to alcohol (e.g., trouble with family, friends, school officials over drinking). Self-identified adolescent "jocks" were more likely to engage in problem drinking than their non-jock counterparts, even after controlling for gender, age, race, socioeconomic status, physical maturity, social maturity, and frequency of athletic activity. Jock identity was strongly associated with higher binge drinking frequency in Black adolescent girls. This study underscores the need to distinguish between objective and subjective meanings of athletic involvement when assessing the relationship between sport and adolescent health-risk behavior.

  18. JPL Test Effectiveness Analysis

    NASA Technical Reports Server (NTRS)

    Shreck, Stephanie; Sharratt, Stephen; Smith, Joseph F.; Strong, Edward

    2008-01-01

    1) The pilot study provided meaningful conclusions that are generally consistent with the earlier Test Effectiveness work done between 1992 and 1994: a) Analysis of pre-launch problem/failure reports is consistent with earlier work. b) Analysis of post-launch early mission anomaly reports indicates that there are more software issues in newer missions, and the no-test category for identification of post-launch failures is more significant than in the earlier analysis. 2) Future work includes understanding how differences in Missions effect these analyses: a) There are large variations in the number of problem reports and issues that are documented by the different Projects/Missions. b) Some missions do not have any reported environmental test anomalies, even though environmental tests were performed. 3) Each project/mission has different standards and conventions for filling out the PFR forms, the industry may wish to address this issue: a) Existing problem reporting forms are to document and track problems, failures, and issues (etc.) for the projects, to ensure high quality. b) Existing problem reporting forms are not intended for data mining.

  19. Using mHealth technologies to improve the identification of behavioral health problems in urban primary care settings.

    PubMed

    Staeheli, Martha; Aseltine, Robert H; Schilling, Elizabeth; Anderson, Daren; Gould, Bruce

    2017-01-01

    Behavioral health disorders remain under recognized and under diagnosed among urban primary care patients. Screening patients for such problems is widely recommended, yet is challenging to do in a brief primary care encounter, particularly for this socially and medically complex patient population. In 2013, intervention patients at an urban Connecticut primary clinic were screened for post-traumatic stress disorder, depression, and risky drinking (n = 146) using an electronic tablet-based screening tool. Screening data were compared to electronic health record data from control patients (n = 129) to assess differences in the prevalence of behavioral health problems, rates of follow-up care, and the rate of newly identified cases in the intervention group. Results from logistic regressions indicated that both groups had similar rates of disorder at baseline. Patients in the intervention group were five times more likely to be identified with depression (p < 0.05). Post-traumatic stress disorder was virtually unrecognized among controls but was observed in 23% of the intervention group (p < 0.001). The vast majority of behavioral health problems identified in the intervention group were new cases. Follow-up rates were significantly higher in the intervention group relative to controls, but were low overall. This tablet-based electronic screening tool identified significantly higher rates of behavioral health disorders than have been previously reported for this patient population. Electronic risk screening using patient-reported outcome measures offers an efficient approach to improving the identification of behavioral health problems and improving rates of follow-up care.

  20. Protein purification and crystallization artifacts: The tale usually not told.

    PubMed

    Niedzialkowska, Ewa; Gasiorowska, Olga; Handing, Katarzyna B; Majorek, Karolina A; Porebski, Przemyslaw J; Shabalin, Ivan G; Zasadzinska, Ewelina; Cymborowski, Marcin; Minor, Wladek

    2016-03-01

    The misidentification of a protein sample, or contamination of a sample with the wrong protein, may be a potential reason for the non-reproducibility of experiments. This problem may occur in the process of heterologous overexpression and purification of recombinant proteins, as well as purification of proteins from natural sources. If the contaminated or misidentified sample is used for crystallization, in many cases the problem may not be detected until structures are determined. In the case of functional studies, the problem may not be detected for years. Here several procedures that can be successfully used for the identification of crystallized protein contaminants, including: (i) a lattice parameter search against known structures, (ii) sequence or fold identification from partially built models, and (iii) molecular replacement with common contaminants as search templates have been presented. A list of common contaminant structures to be used as alternative search models was provided. These methods were used to identify four cases of purification and crystallization artifacts. This report provides troubleshooting pointers for researchers facing difficulties in phasing or model building. © 2016 The Protein Society.

  1. Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images.

    PubMed

    Joutsijoki, Henry; Haponen, Markus; Rasku, Jyrki; Aalto-Setälä, Katriina; Juhola, Martti

    2016-01-01

    The focus of this research is on automated identification of the quality of human induced pluripotent stem cell (iPSC) colony images. iPS cell technology is a contemporary method by which the patient's cells are reprogrammed back to stem cells and are differentiated to any cell type wanted. iPS cell technology will be used in future to patient specific drug screening, disease modeling, and tissue repairing, for instance. However, there are technical challenges before iPS cell technology can be used in practice and one of them is quality control of growing iPSC colonies which is currently done manually but is unfeasible solution in large-scale cultures. The monitoring problem returns to image analysis and classification problem. In this paper, we tackle this problem using machine learning methods such as multiclass Support Vector Machines and several baseline methods together with Scaled Invariant Feature Transformation based features. We perform over 80 test arrangements and do a thorough parameter value search. The best accuracy (62.4%) for classification was obtained by using a k-NN classifier showing improved accuracy compared to earlier studies.

  2. Linear and nonlinear trending and prediction for AVHRR time series data

    NASA Technical Reports Server (NTRS)

    Smid, J.; Volf, P.; Slama, M.; Palus, M.

    1995-01-01

    The variability of AVHRR calibration coefficient in time was analyzed using algorithms of linear and non-linear time series analysis. Specifically we have used the spline trend modeling, autoregressive process analysis, incremental neural network learning algorithm and redundancy functional testing. The analysis performed on available AVHRR data sets revealed that (1) the calibration data have nonlinear dependencies, (2) the calibration data depend strongly on the target temperature, (3) both calibration coefficients and the temperature time series can be modeled, in the first approximation, as autonomous dynamical systems, (4) the high frequency residuals of the analyzed data sets can be best modeled as an autoregressive process of the 10th degree. We have dealt with a nonlinear identification problem and the problem of noise filtering (data smoothing). The system identification and filtering are significant problems for AVHRR data sets. The algorithms outlined in this study can be used for the future EOS missions. Prediction and smoothing algorithms for time series of calibration data provide a functional characterization of the data. Those algorithms can be particularly useful when calibration data are incomplete or sparse.

  3. Strategic and tactical fuel treatment evaluation tools

    Treesearch

    Ken Skog

    2007-01-01

    Strategic identification and local placement of fuel treatments are significant regional and local forest management problems addressed by two tools developed by Forest Service Research and Development.

  4. Identity Crisis: Defining the Problem and Framing a Solution for Terrorism Incident Response

    DTIC Science & Technology

    2007-09-01

    government. Within two hours of the blast, the Oklahoma City Police Department ( OCPD ) had established a controlled perimeter around the incident site.4...Identification of personnel immediately became an issue. Initially, the OCPD moved its permit and identification section equipment to the scene to...issue identification badges. The operation lasted only a few hours as supplies were quickly exhausted.5 The OCPD continued to issue alternative forms

  5. Quantity and quality in forest research. Invited papers delivered at the 19th world congress of the International Union of Forest Research Organizations; 1990 August 5-11; Montreal, Canada.

    Treesearch

    Rolfe A. Leary

    1991-01-01

    Five papers are included that address aspects of quality in forest research. Topics cover (1) the need for a logic of inquiry, illustrated by examining forest fire policy in Western North America, (2) alternative criteria for judging the simplicity of forest models, (3) the identification and analysis of problems and the importance that scientists develop good problem...

  6. Cumulative reports and publications through December 31, 1991

    NASA Technical Reports Server (NTRS)

    1992-01-01

    A reports and publications list is given from the Institute for Computer Applications in Science and Engineering (ICASE) through December 31, 1991. The major categories of the current ICASE research program are; numerical methods, control and parameter identification problems, computational problems in engineering and the physical sciences, and computer systems and software. Since ICASE reports are intended to be preprints of articles that will appear in journals or conference proceedings, the published reference is included when available.

  7. Fundamental Mechanisms of NeuroInformation Processing: Inverse Problems and Spike Processing

    DTIC Science & Technology

    2016-08-04

    platform called Neurokernel for collaborative development of comprehensive models of the brain of the fruit fly Drosophila melanogaster and their execution...example. We investigated the following nonlinear identification problem: given both the input signal u and the time sequence (tk)k2Z at the output of...from a time sequence is to be contrasted with existing methods for rate-based models in neuroscience. In such models the output of the system is taken

  8. AGARD Flight Test Techniques Series. Volume 3. Identification of Dynamic Systems - Applications to Aircraft. Part 1. The Output Error Approach

    DTIC Science & Technology

    1986-12-01

    poorly written problem statements. We decline to artificially create difficulties for experimentation. Others have encountered these issues and treated...you lose some of the weaning. The method also does not extend well to nonlinear or time-varying system (sometimes it can be don#. but it creates ...thereby introduced creates problems and solves nothing. For variable-geometry aircraft, some projects establish reference geometry values that change as

  9. Aerodynamic instability: A case history

    NASA Technical Reports Server (NTRS)

    Eisenmann, R. C.

    1985-01-01

    The identification, diagnosis, and final correction of complex machinery malfunctions typically require the correlation of many parameters such as mechanical construction, process influence, maintenance history, and vibration response characteristics. The progression is reviewed of field testing, diagnosis, and final correction of a specific machinery instability problem. The case history presented addresses a unique low frequency instability problem on a high pressure barrel compressor. The malfunction was eventually diagnosed as a fluidic mechanism that manifested as an aerodynamic disturbance to the rotor assembly.

  10. Mothers' Initial Discovery of Childhood Disability: Exploring Maternal Identification of Developmental Issues in Young Children

    ERIC Educational Resources Information Center

    Silbersack, Elionora W.

    2014-01-01

    The purpose of this qualitative study was to expand the scarce information available on how mothers first observe their children's early development, assess potential problems, and then come to recognize their concerns. In-depth knowledge about mothers' perspectives on the discovery process can help social workers to promote identification of…

  11. User Identification and Tracking in an Educational Web Environment.

    ERIC Educational Resources Information Center

    Marzo-Lazaro, J. L.; Verdu-Carbo, T.; Fabregat-Gesa, R.

    This paper describes a solution to the user identification and tracking problem within an educational World Wide Web environment. The paper begins with an overview of the Teaching Support System project at the University of Girona (Spain); the main objective of the project is to create an integrated set of tools for teachers to use to create and…

  12. The Effect of Organizational Justice and Perceived Organizational Support on Organizational Citizenship Behaviors: The Mediating Role of Organizational Identification

    ERIC Educational Resources Information Center

    Demir, Kamile

    2015-01-01

    Problem of Study: Research on social exchange relationships does not take into account another vital component of organizational life--namely an individual's sense of belonging and identity. Organizational identification is one of the most crucial factors holding employees together and keeping them committed to the organization. Many studies…

  13. ODEion--a software module for structural identification of ordinary differential equations.

    PubMed

    Gennemark, Peter; Wedelin, Dag

    2014-02-01

    In the systems biology field, algorithms for structural identification of ordinary differential equations (ODEs) have mainly focused on fixed model spaces like S-systems and/or on methods that require sufficiently good data so that derivatives can be accurately estimated. There is therefore a lack of methods and software that can handle more general models and realistic data. We present ODEion, a software module for structural identification of ODEs. Main characteristic features of the software are: • The model space is defined by arbitrary user-defined functions that can be nonlinear in both variables and parameters, such as for example chemical rate reactions. • ODEion implements computationally efficient algorithms that have been shown to efficiently handle sparse and noisy data. It can run a range of realistic problems that previously required a supercomputer. • ODEion is easy to use and provides SBML output. We describe the mathematical problem, the ODEion system itself, and provide several examples of how the system can be used. Available at: http://www.odeidentification.org.

  14. Perceptions of political leaders.

    PubMed

    David Schmitz, J; Murray, Gregg R

    2017-01-01

    Partisan identification is a fundamental force in individual and mass political behavior around the world. Informed by scholarship on human sociality, coalitional psychology, and group behavior, this research argues that partisan identification, like many other group-based behaviors, is influenced by forces of evolution. If correct, then party identifiers should exhibit adaptive behaviors when making group-related political decisions. The authors test this assertion with citizen assessments of the relative physical formidability of competing leaders, an important adaptive factor in leader evaluations. Using original and novel data collected during the contextually different 2008 and 2012 U.S. presidential elections, as well as two distinct measures obtained during both elections, this article presents evidence that partisans overestimate the physical stature of the presidential candidate of their own party compared with the stature of the candidate of the opposition party. These findings suggest that the power of party identification on political behavior may be attributable to the fact that modern political parties address problems similar to the problems groups faced in human ancestral times.

  15. Modern control concepts in hydrology

    NASA Technical Reports Server (NTRS)

    Duong, N.; Johnson, G. R.; Winn, C. B.

    1974-01-01

    Two approaches to an identification problem in hydrology are presented based upon concepts from modern control and estimation theory. The first approach treats the identification of unknown parameters in a hydrologic system subject to noisy inputs as an adaptive linear stochastic control problem; the second approach alters the model equation to account for the random part in the inputs, and then uses a nonlinear estimation scheme to estimate the unknown parameters. Both approaches use state-space concepts. The identification schemes are sequential and adaptive and can handle either time invariant or time dependent parameters. They are used to identify parameters in the Prasad model of rainfall-runoff. The results obtained are encouraging and conform with results from two previous studies; the first using numerical integration of the model equation along with a trial-and-error procedure, and the second, by using a quasi-linearization technique. The proposed approaches offer a systematic way of analyzing the rainfall-runoff process when the input data are imbedded in noise.

  16. On the Directional Dependence and Null Space Freedom in Uncertainty Bound Identification

    NASA Technical Reports Server (NTRS)

    Lim, K. B.; Giesy, D. P.

    1997-01-01

    In previous work, the determination of uncertainty models via minimum norm model validation is based on a single set of input and output measurement data. Since uncertainty bounds at each frequency is directionally dependent for multivariable systems, this will lead to optimistic uncertainty levels. In addition, the design freedom in the uncertainty model has not been utilized to further reduce uncertainty levels. The above issues are addressed by formulating a min- max problem. An analytical solution to the min-max problem is given to within a generalized eigenvalue problem, thus avoiding a direct numerical approach. This result will lead to less conservative and more realistic uncertainty models for use in robust control.

  17. Naïve Bayes Approach for Expert System Design of Children Skin Identification Based on Android

    NASA Astrophysics Data System (ADS)

    Hartatik; Purnomo, A.; Hartono, R.; Munawaroh, H.

    2018-03-01

    The development of technology gives some benefits to each person that we can use it properly and correctly. Technology has helped humans in every way. Such as the excess task of an expert in providing information or answers to a problem. Thus problem that often occurs is skin disease that affecting on child. That because the skin of children still vulnerable to the environment. The application was developed using the naïve Bayes algorithm. Through this application, users can consult with a system like an expert to know the symptoms that occur to the child and find the correct treatment to solve the problems.

  18. Inverse problems in the modeling of vibrations of flexible beams

    NASA Technical Reports Server (NTRS)

    Banks, H. T.; Powers, R. K.; Rosen, I. G.

    1987-01-01

    The formulation and solution of inverse problems for the estimation of parameters which describe damping and other dynamic properties in distributed models for the vibration of flexible structures is considered. Motivated by a slewing beam experiment, the identification of a nonlinear velocity dependent term which models air drag damping in the Euler-Bernoulli equation is investigated. Galerkin techniques are used to generate finite dimensional approximations. Convergence estimates and numerical results are given. The modeling of, and related inverse problems for the dynamics of a high pressure hose line feeding a gas thruster actuator at the tip of a cantilevered beam are then considered. Approximation and convergence are discussed and numerical results involving experimental data are presented.

  19. Association of direct exposure to terrorism, media exposure to terrorism, and other trauma with emotional and behavioral problems in preschool children.

    PubMed

    Wang, Yanping; Nomura, Yoko; Pat-Horenczyk, Ruth; Doppelt, Osnat; Abramovitz, Robert; Brom, Daniel; Chemtob, Claude

    2006-12-01

    This study examined the differential impact of various types of trauma exposure on emotional and behavioral problems in preschool children. Participants were 95 mothers of 1- to 4-year-old children in Israel. Results suggested a differential pattern of associations between the types of trauma exposure (i.e., direct exposure to terrorism, media exposure to terrorism, and other trauma) and children's internalizing and externalizing problems. This line of research is important for the identification of risk factors and the development of effective prevention and intervention strategies to promote resilience in preschool children exposed to specific type(s) of trauma.

  20. [A accurate identification method for Chinese materia medica--systematic identification of Chinese materia medica].

    PubMed

    Wang, Xue-Yong; Liao, Cai-Li; Liu, Si-Qi; Liu, Chun-Sheng; Shao, Ai-Juan; Huang, Lu-Qi

    2013-05-01

    This paper put forward a more accurate identification method for identification of Chinese materia medica (CMM), the systematic identification of Chinese materia medica (SICMM) , which might solve difficulties in CMM identification used the ordinary traditional ways. Concepts, mechanisms and methods of SICMM were systematically introduced and possibility was proved by experiments. The establishment of SICMM will solve problems in identification of Chinese materia medica not only in phenotypic characters like the mnorphous, microstructure, chemical constituents, but also further discovery evolution and classification of species, subspecies and population in medical plants. The establishment of SICMM will improve the development of identification of CMM and create a more extensive study space.

  1. Algorithm research for user trajectory matching across social media networks based on paragraph2vec

    NASA Astrophysics Data System (ADS)

    Xu, Qian; Chen, Hongchang; Zhi, Hongxin; Wang, Yanchuan

    2018-04-01

    Identifying users across different social media networks (SMN) is to link accounts of the same user that belong to the same individual across SMNs. The problem is fundamental and important, and its results can benefit many applications such as cross SMN user modeling and recommendation. With the development of GPS technology and mobile communication, more and more social networks provide location services. This provides a new opportunity for cross SMN user identification. In this paper, we solve cross SMN user identification problem in an unsupervised manner by utilizing user trajectory data in SMNs. A paragraph2vec based algorithm is proposed in which location sequence feature of user trajectory is captured in temporal and spatial dimensions. Our experimental results validate the effectiveness and efficiency of our algorithm.

  2. Self-tuning regulators for multicyclic control of helicopter vibration

    NASA Technical Reports Server (NTRS)

    Johnson, W.

    1982-01-01

    A class of algorithms for the multicyclic control of helicopter vibration and loads is derived and discussed. This class is characterized by a linear, quasi-static, frequency-domain model of the helicopter response to control; identification of the helicopter model by least-squared-error or Kalman filter methods; and a minimum variance or quadratic performance function controller. Previous research on such controllers is reviewed. The derivations and discussions cover the helicopter model; the identification problem, including both off-line and on-line (recursive) algorithms; the control problem, including both open-loop and closed-loop feedback; and the various regulator configurations possible within this class. Conclusions from analysis and numerical simulations of the regulators provide guidance in the design and selection of algorithms for further development, including wind tunnel and flight tests.

  3. Identification of the population density of a species model with nonlocal diffusion and nonlinear reaction

    NASA Astrophysics Data System (ADS)

    Tuan, Nguyen Huy; Van Au, Vo; Khoa, Vo Anh; Lesnic, Daniel

    2017-05-01

    The identification of the population density of a logistic equation backwards in time associated with nonlocal diffusion and nonlinear reaction, motivated by biology and ecology fields, is investigated. The diffusion depends on an integral average of the population density whilst the reaction term is a global or local Lipschitz function of the population density. After discussing the ill-posedness of the problem, we apply the quasi-reversibility method to construct stable approximation problems. It is shown that the regularized solutions stemming from such method not only depend continuously on the final data, but also strongly converge to the exact solution in L 2-norm. New error estimates together with stability results are obtained. Furthermore, numerical examples are provided to illustrate the theoretical results.

  4. A comparative study of machine learning models for ethnicity classification

    NASA Astrophysics Data System (ADS)

    Trivedi, Advait; Bessie Amali, D. Geraldine

    2017-11-01

    This paper endeavours to adopt a machine learning approach to solve the problem of ethnicity recognition. Ethnicity identification is an important vision problem with its use cases being extended to various domains. Despite the multitude of complexity involved, ethnicity identification comes naturally to humans. This meta information can be leveraged to make several decisions, be it in target marketing or security. With the recent development of intelligent systems a sub module to efficiently capture ethnicity would be useful in several use cases. Several attempts to identify an ideal learning model to represent a multi-ethnic dataset have been recorded. A comparative study of classifiers such as support vector machines, logistic regression has been documented. Experimental results indicate that the logical classifier provides a much accurate classification than the support vector machine.

  5. Health and participation problems in older adults with long-term disability.

    PubMed

    Hilberink, Sander R; van der Slot, Wilma M A; Klem, Martijn

    2017-04-01

    More attention and understanding of the health and participation problems of adults with early and later onset disabilities in the Netherlands is needed. To explore health/participation problems and unmet needs in adults aged ≥40 years with long-term disabilities and their relationship with the time of onset. Participants were recruited in the Netherlands through newsletters and social media to participate in a web-based questionnaire. The questionnaire assessed background characteristics, (change in) health/participation problems, and unmet needs. Spearman's rho was used to examine the relationships with time of onset. Of the 163 survey respondents, 42% acquired their disability before age 25 years and reported fatigue (77%), walking problems (66%), and pain (59%). In 21% of the respondents with early-onset disability fatigue, pain and depressive feelings co-occurred. Early-onset disability correlated with joint deformities, pain and anxiety. Participation problems included loss of income and fewer social activities. Early-onset correlated with the need for more information about diagnosis and prognosis. People aged over 40 years with long-term disability have significant and increasing health and participation problems. Adults with early-onset disability are more likely to have health or participation problems than adults with late-onset disability. Early identification is needed for preventive care and access to specialized services that focus on improving and maintaining physical symptoms, energy management, and participation. Copyright © 2016 Elsevier Inc. All rights reserved.

  6. Gender Differences in the Presentation of Observable Risk Indicators of Problem Gambling.

    PubMed

    Delfabbro, Paul; Thomas, Anna; Armstrong, Andrew

    2018-03-01

    In many countries where gambling is legalised, there has been a strong public policy focus on the need for strategies to reduce gambling related harm. These have often included policies requiring staff in gambling venues to identify and/or assist people who might be experiencing gambling-related harm. To facilitate this process, researchers have developed visible behavioural indicators that might be used to profile potentially problematic gambling. Few of these studies have, however, examined whether such indicators or 'warning signs' might differ between men and women. In this study, we describe the results of an analysis of data drawn from 1185 fortnightly gamblers that included 338 problem gamblers as classified by the Problem Gambling Severity Index. Indicators of problem gambling were similar between males and females with a few key exceptions. Indicators reflecting emotional distress were more commonly reported by females with gambling problems, whereas problem gambling males were more likely to display aggressive behaviour towards gambling devices and others in the venue. Amongst males, signs of emotional distress as well as attempts to conceal their presence in venues from others most strongly differentiated between problem and non-problem gamblers. Amongst females, signs of anger, a decline in grooming and those attempts to access credit were the most distinguishing indicators. These findings have implications for the refinement of identification policies and practices.

  7. Problem-based learning through field investigation: Boosting questioning skill, biological literacy, and academic achievement

    NASA Astrophysics Data System (ADS)

    Suwono, Hadi; Wibowo, Agung

    2018-01-01

    Biology learning emphasizes problem-based learning as a learning strategy to develop students ability in identifying and solving problems in the surrounding environment. Problem identification skills are closely correlated with questioning skills. By holding this skill, students tend to deliver a procedural question instead of the descriptive one. Problem-based learning through field investigation is an instruction model which directly exposes the students to problems or phenomena that occur in the environment, and then the students design the field investigation activities to solve these problems. The purpose of this research was to describe the improvement of undergraduate biology students on questioning skills, biological literacy, and academic achievement through problem-based learning through field investigation (PBFI) compared with the lecture-based instruction (LBI). This research was a time series quasi-experimental design. The research was conducted on August - December 2015 and involved 26 undergraduate biology students at the State University of Malang on the Freshwater Ecology course. The data were collected during the learning with LBI and PBFI, in which questioning skills, biological literacy, and academic achievement were collected 3 times in each learning model. The data showed that the procedural correlative and causal types of questions are produced by the students to guide them in conducting investigations and problem-solving in PBFI. The biological literacy and academic achievement of the students at PBFI are significantly higher than those at LBI. The results show that PBFI increases the questioning skill, biological literacy, and the academic achievement of undergraduate biology students.

  8. Five roles for using theory and evidence in the design and testing of behavior change interventions.

    PubMed

    Bartholomew, L Kay; Mullen, Patricia Dolan

    2011-01-01

    The prevailing wisdom in the field of health-related behavior change is that well-designed and effective interventions are guided by theory. Using the framework of intervention mapping, we describe and provide examples of how investigators can effectively select and use theory to design, test, and report interventions. We propose five roles for theory and evidence about theories: a) identification of behavior and determinants of behavior related to a specified health problem (i.e., the logic model of the problem); b) explication of a causal model that includes theoretical constructs for producing change in the behavior of interest (i.e., the logic model of change); c) selection of intervention methods and delivery of practical applications to achieve changes in health behavior; d) evaluation of the resulting intervention including theoretical mediating variables; and e) reporting of the active ingredients of the intervention together with the evaluation results. In problem-driven applied behavioral or social science, researchers use one or multiple theories, empiric evidence, and new research, both to assess a problem and to solve or prevent a problem. Furthermore, the theories for description of the problem may differ from the theories for its solution. In an applied approach, the main focus is on solving problems regarding health behavior change and improvement of health outcomes, and the criteria for success are formulated in terms of the problem rather than the theory. Resulting contributions to theory development may be quite useful, but they are peripheral to the problem-solving process.

  9. [Internalizing symptoms in depressive adolescents - manifestations and methods of identification in schools].

    PubMed

    Gander, Manuela; Buchheim, Anna

    2013-01-01

    In order to improve teacher-training programs it is important to analyze the different manifestations of depressive symptoms in adolescent students. This study examined the severity and frequency of internalizing symptoms in adolescents with depressive symptoms and the relationship thereof to an increased risk of suicide. 403 students (212 girls and 191 boys) at Austrian secondary schools aged between 16 and 18 years completed the Reynolds Adolescent Depression Scale-2, the Youth Self-Report, and the Suicide Probability Scale. 35 %, and thus more than one third, of the students with depressive symptoms showed high scores on the internalizing scale while being in the normal range on the externalizing scale. Using regression analysis we found that adolescents with internalizing problems show higher levels of physical complaints, anxiety, and depression. Furthermore, attention problems and thought problems are predictors of depression. In addition to depression, anxiety and thought problems, social problems, and aggressive behavior are predictive of a higher suicide risk. These results are discussed with respect to existing studies concerning how to recognize behavioral problems in school. The integration of these results into teachers' education and training serves to raise their awareness of depressive students with internalizing problems and thus helps them when taking appropriate steps to facilitate treatment.

  10. Gender and culture: reported problems, coping strategies and selected helpers of male and female adolescents in 17 countries.

    PubMed

    Gibson, J T; Baker, C E; Showalter, S M; Al-sarraf, Q; Atakan, S A; Borgen, W A; Guimaraes, I R; Giusti-ortiz, A L; Ishiyama, F I; Robertson, M

    1992-09-01

    This is the second report of a multinational project undertaken in 1988 by the International Round Table for the Advancement of Counseling that sought, among other things, to compare and contrast the reported problems, coping strategies, and help-seeking behavior of 2129 male and 2307 female adolescents from a total of three different socioeconomic backgrounds in each of 16 countries (Australia, Brazil, Canada, Greece, Hong Kong, India, Israel, Japan Kuwait, the Netherlands, the Philippines, China, Puerto Rico, Turkey, the US, and Venezuela) and from a "classless" background in Russia. The first report described the study and research methodology and cited preliminary findings that 1) problems and coping strategies tended to be universal and age-related; 2) impoverished subjects from Brazil, India, the Philippines, and Venezuela had more problems than any other adolescents; 3) problems were usually related to school, family, and identity rather than to sexuality; and 4) the most common coping strategy was individual problem-solving. This report compares male/female identification of up to three problems that cause worry, response to such problems, and help-seeking behavior. All adolescents cited problems in school, identity, and family. Males and females reported similar coping strategies and showed a strong dependence on individual coping strategies. Both males and females choose personal friends and family members as those most likely to help with problems. Males exhibited a higher percentage of problems related to school and a lower percentage of family problems. Russian adolescents reported more problems relating to altruism than any other group, especially males. These results imply that strong similarities exist for males and females, and the findings are worrisome in that problems related to sexuality were not cited. Counselors should expect the concerns of adolescents to be developmentally related and to overwhelm gender differences.

  11. An examination of the developmental propensity model of conduct problems.

    PubMed

    Rhee, Soo Hyun; Friedman, Naomi P; Corley, Robin P; Hewitt, John K; Hink, Laura K; Johnson, Daniel P; Smith Watts, Ashley K; Young, Susan E; Robinson, JoAnn; Waldman, Irwin D; Zahn-Waxler, Carolyn

    2016-05-01

    The present study tested specific hypotheses advanced by the developmental propensity model of the etiology of conduct problems in the Colorado Longitudinal Twin Study, a prospective, longitudinal, genetically informative sample. High negative emotionality, low behavioral inhibition, low concern and high disregard for others, and low cognitive ability assessed during toddlerhood (age 14 to 36 months) were examined as predictors of conduct problems in later childhood and adolescence (age 4 to 17 years). Each hypothesized antisocial propensity dimension predicted conduct problems, but some predictions may be context specific or due to method covariance. The most robust predictors were observed disregard for others (i.e., responding to others' distress with active, negative responses such as anger and hostility), general cognitive ability, and language ability, which were associated with conduct problems reported by parents, teachers, and adolescents, and change in observed negative emotionality (i.e., frustration tolerance), which was associated with conduct problems reported by teachers and adolescents. Furthermore, associations between the most robust early predictors and later conduct problems were influenced by the shared environment rather than genes. We conclude that shared environmental influences that promote disregard for others and detract from cognitive and language development during toddlerhood also predispose individuals to conduct problems in later childhood and adolescence. The identification of those shared environmental influences common to early antisocial propensity and later conduct problems is an important future direction, and additional developmental behavior genetic studies examining the interaction between children's characteristics and socializing influences on conduct problems are needed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  12. [Mental health in physicians doing the rural and suburban health service in Peru: a baseline study].

    PubMed

    Galán-Rodas, Edén; Gálvez-Buccollini, Juan Antonio; Vega-Galdós, Favio; Osada, Jorge; Guerrero-Padilla, Daisy; Vega-Dienstmaier, Johann; Talledo, Lety; Catacora, Manuel; Fiestas, Fabián

    2011-06-01

    The disadvantageous conditions in which young physicians have to do their rural and sub-urban health service (SERUMS) may put them in a high risk for mental disorders. This study aims to establish the baseline levels of depression and alcohol use problems among those physicians scheduled to complete their SERUMS during the period 2011-2012. The Center for Epidemiologic Studies Depression Scale (CES-D) and the Alcohol Use Disorders Identification Test (AUDIT) were administered as screening tests to 493 physicians. Depression scores were met by 26% females and 14.5% males, and alcohol use problem scores were met by 22% females and 26% males. Overall, 39% persons scored for either of both mental health entities. Mental health problems seem to be common among young physicians scheduled to migrate to their SERUMS. These problems must be addressed to avoid greater risks.

  13. Developmental trajectories of girls' and boys' delinquency and associated problems.

    PubMed

    Pepler, Debra J; Jiang, Depeng; Craig, Wendy M; Connolly, Jennifer

    2010-10-01

    Developmental trajectories in delinquency through adolescence were studied along with family and peer relationship problems. Drawing from eight waves of data over seven years, we conducted trajectory analyses with a sample of 746 students (402 girls; 344 boys). Analyzing girls and boys together, a five-class model emerged: 60% of the adolescents rarely reported delinquency; 27.7% reported low initial levels with moderate levels of delinquency over time; 6% in the late onset group reported initially low and rising levels of delinquency; 5% in the early onset group reported moderate initial levels which increased and then decreased in later adolescence. A small group of only boys (1.3%) labeled chronic reported high initial levels of delinquency that increased over time. Group comparisons revealed problems in internalizing, parent and peer relationship problems. The findings provide direction for early identification and interventions to curtail the development of delinquency.

  14. Problem behaviors of low-income children with language delays: an observation study.

    PubMed

    Qi, Cathy Huaqing; Kaiser, Ann P

    2004-06-01

    Children from low-income families are at increased risk for significant behavioral and language problems. Early identification of these problems is essential for effective intervention. The purpose of the present study was to use multiple behavioral assessments to examine the behavioral profiles of sixty 3- and 4-year-old children from low-income families enrolled in Head Start programs and to compare the behavior characteristics of 32 children with language delays with those of 28 children with typical language development. Teachers completed the Child Behavior Checklist/Caregiver-Teacher Report Form/2-5 (CTRF; T. M. Achenbach, 1997) and the Social Skills Rating System (SSRS; F. M. Gresham and S. N. Elliott, 1990), and children were observed in the classrooms during structured and unstructured activities. Children with language delays exhibited more problem behaviors and poorer social skills on some of the observational measures than did children with typical language development, as predicted, but not on all.

  15. Developing natural product drugs: Supply problems and how they have been overcome.

    PubMed

    Newman, David J

    2016-06-01

    The development of natural product-derived drugs has some unique problems associated with the process, which can be best described as the "problem of supply". In this short review, four examples are given demonstrating how the "supply problem" was overcome using as examples the development of Picato® from a plant, Kyprolis® modified from a microbial metabolite, Halaven® a totally synthetic compound based on a marine sponge metabolite and Yondelis® isolated from a marine tunicate and now known to be from an as yet uncultured microbe in the tunicate. The methods used are described in each case and show how all scientific disciplines are necessary to succeed. All of these are antitumor agents and the time involved ranged from a low of 13years to greater than 29years from the initial identification of an active compound. Copyright © 2015 Elsevier Inc. All rights reserved.

  16. Identification and addressing reduction-related misconceptions

    NASA Astrophysics Data System (ADS)

    Gal-Ezer, Judith; Trakhtenbrot, Mark

    2016-07-01

    Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract technique that involves revealing close non-trivial connections between problems that often seem to have nothing in common. As a result, proper understanding and application of reduction is a serious challenge for students and a source of numerous misconceptions. The main contribution of this paper is detection of such misconceptions, analysis of their roots, and proposing a way to address them in an undergraduate TCC course. Our observations suggest that the main source of the misconceptions is the false intuitive rule "the bigger is a set/problem, the harder it is to solve". Accordingly, we developed a series of exercises for proactive prevention of these misconceptions.

  17. Galileo Attitude Determination: Experiences with a Rotating Star Scanner

    NASA Technical Reports Server (NTRS)

    Merken, L.; Singh, G.

    1991-01-01

    The Galileo experience with a rotating star scanner is discussed in terms of problems encountered in flight, solutions implemented, and lessons learned. An overview of the Galileo project and the attitude and articulation control subsystem is given and the star scanner hardware and relevant software algorithms are detailed. The star scanner is the sole source of inertial attitude reference for this spacecraft. Problem symptoms observed in flight are discussed in terms of effects on spacecraft performance and safety. Sources of thse problems include contributions from flight software idiosyncrasies and inadequate validation of the ground procedures used to identify target stars for use by the autonomous on-board star identification algorithm. Problem fixes (some already implemented and some only proposed) are discussed. A general conclusion is drawn regarding the inherent difficulty of performing simulation tests to validate algorithms which are highly sensitive to external inputs of statistically 'rare' events.

  18. Evolutionary fuzzy modeling human diagnostic decisions.

    PubMed

    Peña-Reyes, Carlos Andrés

    2004-05-01

    Fuzzy CoCo is a methodology, combining fuzzy logic and evolutionary computation, for constructing systems able to accurately predict the outcome of a human decision-making process, while providing an understandable explanation of the underlying reasoning. Fuzzy logic provides a formal framework for constructing systems exhibiting both good numeric performance (accuracy) and linguistic representation (interpretability). However, fuzzy modeling--meaning the construction of fuzzy systems--is an arduous task, demanding the identification of many parameters. To solve it, we use evolutionary computation techniques (specifically cooperative coevolution), which are widely used to search for adequate solutions in complex spaces. We have successfully applied the algorithm to model the decision processes involved in two breast cancer diagnostic problems, the WBCD problem and the Catalonia mammography interpretation problem, obtaining systems both of high performance and high interpretability. For the Catalonia problem, an evolved system was embedded within a Web-based tool-called COBRA-for aiding radiologists in mammography interpretation.

  19. Postpartum depression: a chronicle of health policy development.

    PubMed

    Glasser, Saralee

    2010-01-01

    The current report presents an example of the path taken from identification of a public health problem at the primary health service level, to conducting research documenting the scope of the problem and nature of the risk factors, disseminating the findings, and fostering development and application of relevant policy. The example presented is the case of postpartum depression, an issue with bio-psycho-social implications. Public health nurses identified the problem, prompting epidemiological research. The findings encouraged the Ministry of Health (MOH) to conduct a pilot program for screening and early intervention among pregnant and postpartum women reporting depressive symptoms. Based on the results of the pilot program, the MOH is expanding the program to all Mother-Child Health (MCH) clinics. Israel?s largest Health Maintenance Organization has followed suit and is including this program in its own clinics. This Israeli experience may serve as an instructive example of a locally identified problem evolving into a national policy.

  20. Chromosome structures: reduction of certain problems with unequal gene content and gene paralogs to integer linear programming.

    PubMed

    Lyubetsky, Vassily; Gershgorin, Roman; Gorbunov, Konstantin

    2017-12-06

    Chromosome structure is a very limited model of the genome including the information about its chromosomes such as their linear or circular organization, the order of genes on them, and the DNA strand encoding a gene. Gene lengths, nucleotide composition, and intergenic regions are ignored. Although highly incomplete, such structure can be used in many cases, e.g., to reconstruct phylogeny and evolutionary events, to identify gene synteny, regulatory elements and promoters (considering highly conserved elements), etc. Three problems are considered; all assume unequal gene content and the presence of gene paralogs. The distance problem is to determine the minimum number of operations required to transform one chromosome structure into another and the corresponding transformation itself including the identification of paralogs in two structures. We use the DCJ model which is one of the most studied combinatorial rearrangement models. Double-, sesqui-, and single-operations as well as deletion and insertion of a chromosome region are considered in the model; the single ones comprise cut and join. In the reconstruction problem, a phylogenetic tree with chromosome structures in the leaves is given. It is necessary to assign the structures to inner nodes of the tree to minimize the sum of distances between terminal structures of each edge and to identify the mutual paralogs in a fairly large set of structures. A linear algorithm is known for the distance problem without paralogs, while the presence of paralogs makes it NP-hard. If paralogs are allowed but the insertion and deletion operations are missing (and special constraints are imposed), the reduction of the distance problem to integer linear programming is known. Apparently, the reconstruction problem is NP-hard even in the absence of paralogs. The problem of contigs is to find the optimal arrangements for each given set of contigs, which also includes the mutual identification of paralogs. We proved that these problems can be reduced to integer linear programming formulations, which allows an algorithm to redefine the problems to implement a very special case of the integer linear programming tool. The results were tested on synthetic and biological samples. Three well-known problems were reduced to a very special case of integer linear programming, which is a new method of their solutions. Integer linear programming is clearly among the main computational methods and, as generally accepted, is fast on average; in particular, computation systems specifically targeted at it are available. The challenges are to reduce the size of the corresponding integer linear programming formulations and to incorporate a more detailed biological concept in our model of the reconstruction.

  1. Pole-zero form fractional model identification in frequency domain

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

    Mansouri, R.; Djamah, T.; Djennoune, S.

    2009-03-05

    This paper deals with system identification in the frequency domain using non integer order models given in the pole-zero form. The usual identification techniques cannot be used in this case because of the non integer orders of differentiation which makes the problem strongly nonlinear. A general identification method based on Levenberg-Marquardt algorithm is developed and allows to estimate the (2n+2m+1) parameters of the model. Its application to identify the ''skin effect'' of a squirrel cage induction machine modeling is then presented.

  2. Multiscale global identification of porous structures

    NASA Astrophysics Data System (ADS)

    Hatłas, Marcin; Beluch, Witold

    2018-01-01

    The paper is devoted to the evolutionary identification of the material constants of porous structures based on measurements conducted on a macro scale. Numerical homogenization with the RVE concept is used to determine the equivalent properties of a macroscopically homogeneous material. Finite element method software is applied to solve the boundary-value problem in both scales. Global optimization methods in form of evolutionary algorithm are employed to solve the identification task. Modal analysis is performed to collect the data necessary for the identification. A numerical example presenting the effectiveness of proposed attitude is attached.

  3. Which behavioral, emotional and school problems in middle-childhood predict early sexual behavior?

    PubMed

    Parkes, Alison; Waylen, Andrea; Sayal, Kapil; Heron, Jon; Henderson, Marion; Wight, Daniel; Macleod, John

    2014-04-01

    Mental health and school adjustment problems are thought to distinguish early sexual behavior from normative timing (16-18 years), but little is known about how early sexual behavior originates from these problems in middle-childhood. Existing studies do not allow for co-occurring problems, differences in onset and persistence, and there is no information on middle-childhood school adjustment in relationship to early sexual activity. This study examined associations between several middle-childhood problems and early sexual behavior, using a subsample (N = 4,739, 53 % female, 98 % white, mean age 15 years 6 months) from a birth cohort study, the Avon Longitudinal Study of Parents and Children. Adolescents provided information at age 15 on early sexual behavior (oral sex and/or intercourse) and sexual risk-taking, and at age 13 on prior risk involvement (sexual behavior, antisocial behavior and substance use). Information on hyperactivity/inattention, conduct problems, depressive symptoms, peer relationship problems, school dislike and school performance was collected in middle-childhood at Time 1 (6-8 years) and Time 2 (10-11 years). In agreement with previous research, conduct problems predicted early sexual behavior, although this was found only for persistent early problems. In addition, Time 2 school dislike predicted early sexual behavior, while peer relationship problems were protective. Persistent early school dislike further characterized higher-risk groups (early sexual behavior preceded by age 13 risk, or accompanied by higher sexual risk-taking). The study establishes middle-childhood school dislike as a novel risk factor for early sexual behavior and higher-risk groups, and the importance of persistent conduct problems. Implications for the identification of children at risk and targeted intervention are discussed, as well as suggestions for further research.

  4. Insight into alcohol-related problems and its associations with severity of alcohol consumption, mental health status, race, and level of acculturation in southern Taiwanese indigenous people with alcoholism.

    PubMed

    Yen, Cheng-Fang; Hsiao, Ray C; Ries, Richard; Liu, Shu-Chun; Huang, Chi-Fen; Chang, Yu-Ping; Yu, Ming-Lung

    2008-01-01

    While not well known in the West, Taiwan has a substantial indigenous population, and this population has rapidly developed alcohol problems. This study examined the level of insight into alcohol-related problems and its associations with the severity of alcohol consumption, mental health status, race, and the level of acculturation among indigenous populations with alcohol problems in southern Taiwan. A total of 332 indigenes, whose total Alcohol Use Disorders Identification Test (AUDIT) score was equal to 8 or higher, were interviewed. The associations between the level of insight into alcohol-related problems and the severity of alcohol drinking on the AUDIT, mental health status on the Chinese Health Questionnaire-12 (>or= 4 vs. < 4), race (Bunun vs. non-Bunun), and the level of acculturation on the Taiwan Aboriginal Acculturation Scale were examined using logistic regression models. The results of this study found that 72.6% of the participants had poor insight into alcohol-related problems and no participant had good insight. Participants who had more severe alcohol drinking or poor mental health were more likely to have a higher level of insight into alcohol-related problems. Participants who were non-Bunun were also more likely to have a higher level of insight into alcohol-related problems, but the level of acculturation was not associated with the level of insight into alcohol-related problems. These findings suggest that most alcoholic indigenes in southern Taiwan have poor insight into their own alcohol-related problems. Cultural specific interventions targeting and improving the indigenes' insight into alcohol-related problems are needed.

  5. A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record

    PubMed Central

    Pang, Justine; Feblowitz, Joshua C; Maloney, Francine L; Wilcox, Allison R; Ramelson, Harley Z; Schneider, Louise I; Bates, David W

    2011-01-01

    Background Accurate knowledge of a patient's medical problems is critical for clinical decision making, quality measurement, research, billing and clinical decision support. Common structured sources of problem information include the patient problem list and billing data; however, these sources are often inaccurate or incomplete. Objective To develop and validate methods of automatically inferring patient problems from clinical and billing data, and to provide a knowledge base for inferring problems. Study design and methods We identified 17 target conditions and designed and validated a set of rules for identifying patient problems based on medications, laboratory results, billing codes, and vital signs. A panel of physicians provided input on a preliminary set of rules. Based on this input, we tested candidate rules on a sample of 100 000 patient records to assess their performance compared to gold standard manual chart review. The physician panel selected a final rule for each condition, which was validated on an independent sample of 100 000 records to assess its accuracy. Results Seventeen rules were developed for inferring patient problems. Analysis using a validation set of 100 000 randomly selected patients showed high sensitivity (range: 62.8–100.0%) and positive predictive value (range: 79.8–99.6%) for most rules. Overall, the inference rules performed better than using either the problem list or billing data alone. Conclusion We developed and validated a set of rules for inferring patient problems. These rules have a variety of applications, including clinical decision support, care improvement, augmentation of the problem list, and identification of patients for research cohorts. PMID:21613643

  6. Systematic Errors in Peptide and Protein Identification and Quantification by Modified Peptides*

    PubMed Central

    Bogdanow, Boris; Zauber, Henrik; Selbach, Matthias

    2016-01-01

    The principle of shotgun proteomics is to use peptide mass spectra in order to identify corresponding sequences in a protein database. The quality of peptide and protein identification and quantification critically depends on the sensitivity and specificity of this assignment process. Many peptides in proteomic samples carry biochemical modifications, and a large fraction of unassigned spectra arise from modified peptides. Spectra derived from modified peptides can erroneously be assigned to wrong amino acid sequences. However, the impact of this problem on proteomic data has not yet been investigated systematically. Here we use combinations of different database searches to show that modified peptides can be responsible for 20–50% of false positive identifications in deep proteomic data sets. These false positive hits are particularly problematic as they have significantly higher scores and higher intensities than other false positive matches. Furthermore, these wrong peptide assignments lead to hundreds of false protein identifications and systematic biases in protein quantification. We devise a “cleaned search” strategy to address this problem and show that this considerably improves the sensitivity and specificity of proteomic data. In summary, we show that modified peptides cause systematic errors in peptide and protein identification and quantification and should therefore be considered to further improve the quality of proteomic data annotation. PMID:27215553

  7. A Novel Identification Methodology for the Coordinate Relationship between a 3D Vision System and a Legged Robot.

    PubMed

    Chai, Xun; Gao, Feng; Pan, Yang; Qi, Chenkun; Xu, Yilin

    2015-04-22

    Coordinate identification between vision systems and robots is quite a challenging issue in the field of intelligent robotic applications, involving steps such as perceiving the immediate environment, building the terrain map and planning the locomotion automatically. It is now well established that current identification methods have non-negligible limitations such as a difficult feature matching, the requirement of external tools and the intervention of multiple people. In this paper, we propose a novel methodology to identify the geometric parameters of 3D vision systems mounted on robots without involving other people or additional equipment. In particular, our method focuses on legged robots which have complex body structures and excellent locomotion ability compared to their wheeled/tracked counterparts. The parameters can be identified only by moving robots on a relatively flat ground. Concretely, an estimation approach is provided to calculate the ground plane. In addition, the relationship between the robot and the ground is modeled. The parameters are obtained by formulating the identification problem as an optimization problem. The methodology is integrated on a legged robot called "Octopus", which can traverse through rough terrains with high stability after obtaining the identification parameters of its mounted vision system using the proposed method. Diverse experiments in different environments demonstrate our novel method is accurate and robust.

  8. Optimized System Identification

    NASA Technical Reports Server (NTRS)

    Juang, Jer-Nan; Longman, Richard W.

    1999-01-01

    In system identification, one usually cares most about finding a model whose outputs are as close as possible to the true system outputs when the same input is applied to both. However, most system identification algorithms do not minimize this output error. Often they minimize model equation error instead, as in typical least-squares fits using a finite-difference model, and it is seen here that this distinction is significant. Here, we develop a set of system identification algorithms that minimize output error for multi-input/multi-output and multi-input/single-output systems. This is done with sequential quadratic programming iterations on the nonlinear least-squares problems, with an eigendecomposition to handle indefinite second partials. This optimization minimizes a nonlinear function of many variables, and hence can converge to local minima. To handle this problem, we start the iterations from the OKID (Observer/Kalman Identification) algorithm result. Not only has OKID proved very effective in practice, it minimizes an output error of an observer which has the property that as the data set gets large, it converges to minimizing the criterion of interest here. Hence, it is a particularly good starting point for the nonlinear iterations here. Examples show that the methods developed here eliminate the bias that is often observed using any system identification methods of either over-estimating or under-estimating the damping of vibration modes in lightly damped structures.

  9. Observable indicators and behaviors for the identification of problem gamblers in venue environments

    PubMed Central

    Delfabbro, Paul; Thomas, Anna

    2016-01-01

    Background and aims In many jurisdictions, where gambling services are provided, regulatory codes require gambling operators to apply a duty of care toward patrons. A common feature of these provisions is some expectation that venue staff identify and assist patrons who might be experiencing problems with their gambling. The effectiveness of such measures is, however, predicated on the assumption that there are reliable and observable indicators that might be used to allow problem gamblers to be distinguished from other gamblers. Methods In this study, we consolidate the findings from two large Australian studies (n = 505 and n = 680) of regular gamblers that were designed to identify reliable and useful indicators for identifying problem gambling in venues. Results It was found that problem gamblers are much more likely to report potentially visible emotional reactions, unusual social behaviors, and very intense or frenetic gambling behavior. Discussion and conclusions This study shows that there are a range of indicators that could potentially be used to identify people experiencing problems in venues, but that decisions are most likely to be accurate if based on an accumulation of a diverse range of indicators. PMID:27670713

  10. Adolescents' suicidal thinking and reluctance to consult general medical practitioners.

    PubMed

    Wilson, Coralie J; Deane, Frank P; Marshall, Kellie L; Dalley, Andrew

    2010-04-01

    Appropriate help-seeking is widely recognized as a protective factor, and vital for early treatment and prevention of mental health problems during adolescence. General medical practitioners (GPs), that is, family doctors, provide a vital role in the identification of adolescents with mental health problems and the provision of treatment as well as access to other specialists in mental health care services. The current study examined the association between suicidal ideation and intentions to seek help from a GP for suicidal thoughts, emotional problems and physical health problems, using a sample of 590 Australian high school students that was 56.7% female and aged 13-18 years (M = 15.56 years, SD = .66 years). Higher levels of suicidal ideation and general psychological distress were related to lower intentions to seek help from a GP for suicidal and physical problems. The results suggest that even at subclinical levels, increases in suicidal ideation or psychological distress may lead to help avoidance. School personnel and other gatekeepers need to be aware of this trend in order to be more assertive in encouraging and supporting appropriate help-seeking for mental health problems. School health promotion programs should consider including information to explicitly address the help-negation process.

  11. [Quality assessment in anesthesia].

    PubMed

    Kupperwasser, B

    1996-01-01

    Quality assessment (assurance/improvement) is the set of methods used to measure and improve the delivered care and the department's performance against pre-established criteria or standards. The four stages of the self-maintained quality assessment cycle are: problem identification, problem analysis, problem correction and evaluation of corrective actions. Quality assessment is a measurable entity for which it is necessary to define and calibrate measurement parameters (indicators) from available data gathered from the hospital anaesthesia environment. Problem identification comes from the accumulation of indicators. There are four types of quality indicators: structure, process, outcome and sentinel indicators. The latter signal a quality defect, are independent of outcomes, are easier to analyse by statistical methods and closely related to processes and main targets of quality improvement. The three types of methods to analyse the problems (indicators) are: peer review, quantitative methods and risks management techniques. Peer review is performed by qualified anaesthesiologists. To improve its validity, the review process should be explicited and conclusions based on standards of practice and literature references. The quantitative methods are statistical analyses applied to the collected data and presented in a graphic format (histogram, Pareto diagram, control charts). The risks management techniques include: a) critical incident analysis establishing an objective relationship between a 'critical' event and the associated human behaviours; b) system accident analysis, based on the fact that accidents continue to occur despite safety systems and sophisticated technologies, checks of all the process components leading to the impredictable outcome and not just the human factors; c) cause-effect diagrams facilitate the problem analysis in reducing its causes to four fundamental components (persons, regulations, equipment, process). Definition and implementation of corrective measures, based on the findings of the two previous stages, are the third step of the evaluation cycle. The Hawthorne effect is an outcome improvement, before the implementation of any corrective actions. Verification of the implemented actions is the final and mandatory step closing the evaluation cycle.

  12. MLA Certification: Its Present Problems and Future Development *

    PubMed Central

    Proctor, Vilma

    1967-01-01

    The certification program is reviewed and questions as to the validity of the existing three grades of certification are raised. Large institutions which employ many medical librarians do not officially recognize the certificates. The three types of certificates should be replaced with one certificate or diploma. Problems of meaningful examinations, lack of training facilities, and revision of the curriculum require attention. A program is proposed for the improvement of education for medical librarianship. Public identification of medical librarianship is presently difficult. PMID:6016375

  13. Expert system prototype developments for NASA-KSC business and engineering applications

    NASA Technical Reports Server (NTRS)

    Ragusa, James M.; Gonzalez, Avelino J.

    1988-01-01

    Prototype expert systems developed for a variety of NASA projects in the business/management and engineering domains are discussed. Business-related problems addressed include an assistant for simulating launch vehicle processing, a plan advisor for the acquisition of automated data processing equipment, and an expert system for the identification of customer requirements. Engineering problems treated include an expert system for detecting potential ignition sources in LOX and gaseous-oxygen transportation systems and an expert system for hazardous-gas detection.

  14. A Comparison of the Pencil-of-Function Method with Prony’s Method, Wiener Filters and Other Identification Techniques,

    DTIC Science & Technology

    1977-12-01

    exponentials encountered are complex and zhey are approximately at harmonic frequencies. Moreover, the real parts of the complex exponencials are much...functions as a basis for expanding the current distribution on an antenna by the method of moments results in a regularized ill-posed problem with respect...to the current distribution on the antenna structure. However, the problem is not regularized with respect to chaoge because the chaPge distribution

  15. On the application of neural networks to the classification of phase modulated waveforms

    NASA Astrophysics Data System (ADS)

    Buchenroth, Anthony; Yim, Joong Gon; Nowak, Michael; Chakravarthy, Vasu

    2017-04-01

    Accurate classification of phase modulated radar waveforms is a well-known problem in spectrum sensing. Identification of such waveforms aids situational awareness enabling radar and communications spectrum sharing. While various feature extraction and engineering approaches have sought to address this problem, the use of a machine learning algorithm that best utilizes these features is becomes foremost. In this effort, a comparison of a standard shallow and a deep learning approach are explored. Experiments provide insights into classifier architecture, training procedure, and performance.

  16. The gas-chromatographic and gas-chromatographic-mass-spectrometric identification of halogen-containing organic compounds

    NASA Astrophysics Data System (ADS)

    Gidaspov, B. V.; Zenkevich, I. G.; Rodin, A. A.

    1989-09-01

    The problem of identifying halogen-containing organic compounds in their gas-chromatographic and gas-chromatographic-mass-spectrometric (GC-MS) determination in different materials has been examined. Particular attention has been paid not to the complete characterisation of methods for carrying out this analysis but to the most important problem of increasing the selectivity at the stages of sampling, separation, and interpretation of the gas-chromatographic and GC-MS information. The bibliography contains 292 references.

  17. Application of Chemometric Methods to Devolve Co-Eluting Peaks in GC-MS of Fuels to Improve Compound Identification: Final Report

    DTIC Science & Technology

    2018-02-12

    Unclassified Unlimited 49 Jeffrey Cramer (202) 404-3419 Fuel stability and performance problems are often due to the presence of trace levels of contaminants or...other minor changes in composition. Detailed compositional analyses of suspect fuels are often critical to the determination of the cause(s) of the...problem(s) at hand. Sensitive methods to compare fuel compositions via GC-MS methods are available, but the detailed compositional analyses of

  18. [The current status and outlook for molecular genetic methods in solving the tasks of medical microbiology].

    PubMed

    Gintsburg, A L; Zigangirova, N A; Romanova, Iu M

    1999-01-01

    The article deals with modern methods, viz. PCR, molecular display and genotherapy, which permit the new approach to the solution of problems connected with the identification of infective agents, the study of the mechanisms of the pathogenesis of infectious diseases and their treatment. In this article concrete examples, clearly demonstrating how each of the above-mentioned technologies makes it possible to broaden the circle of problems solved in infectious pathology of man, are presented.

  19. The Model Life-cycle: Training Module

    EPA Pesticide Factsheets

    Model Life-Cycle includes identification of problems & the subsequent development, evaluation, & application of the model. Objectives: define ‘model life-cycle’, explore stages of model life-cycle, & strategies for development, evaluation, & applications.

  20. Wavelet transform analysis of transient signals: the seismogram and the electrocardiogram

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

    Anant, K.S.

    1997-06-01

    In this dissertation I quantitatively demonstrate how the wavelet transform can be an effective mathematical tool for the analysis of transient signals. The two key signal processing applications of the wavelet transform, namely feature identification and representation (i.e., compression), are shown by solving important problems involving the seismogram and the electrocardiogram. The seismic feature identification problem involved locating in time the P and S phase arrivals. Locating these arrivals accurately (particularly the S phase) has been a constant issue in seismic signal processing. In Chapter 3, I show that the wavelet transform can be used to locate both the Pmore » as well as the S phase using only information from single station three-component seismograms. This is accomplished by using the basis function (wave-let) of the wavelet transform as a matching filter and by processing information across scales of the wavelet domain decomposition. The `pick` time results are quite promising as compared to analyst picks. The representation application involved the compression of the electrocardiogram which is a recording of the electrical activity of the heart. Compression of the electrocardiogram is an important problem in biomedical signal processing due to transmission and storage limitations. In Chapter 4, I develop an electrocardiogram compression method that applies vector quantization to the wavelet transform coefficients. The best compression results were obtained by using orthogonal wavelets, due to their ability to represent a signal efficiently. Throughout this thesis the importance of choosing wavelets based on the problem at hand is stressed. In Chapter 5, I introduce a wavelet design method that uses linear prediction in order to design wavelets that are geared to the signal or feature being analyzed. The use of these designed wavelets in a test feature identification application led to positive results. The methods developed in this thesis; the feature identification methods of Chapter 3, the compression methods of Chapter 4, as well as the wavelet design methods of Chapter 5, are general enough to be easily applied to other transient signals.« less

  1. Preschool hyperactivity specifically elevates long-term mental health risks more strongly in males than females: a prospective longitudinal study through to young adulthood.

    PubMed

    Smith, Elizabeth; Meyer, Brenda J; Koerting, Johanna; Laver-Bradbury, Cathy; Lee, Louise; Jefferson, Harriet; Sayal, Kapil; Treglown, Luke; Thompson, Margaret; Sonuga-Barke, Edmund J S

    2017-01-01

    Evidence of continuities between preschool hyperactivity and adult mental health problems highlights the potential value of targeting early identification and intervention strategies. However, specific risk factors are currently unclear. This large-scale prospective longitudinal study aimed to identify which hyperactive preschoolers are at the greatest long-term risk of poor mental health. One hundred and seventy children (89 females) rated as hyperactive by their parents, and 88 non-hyperactive controls (48 females) were identified from a community sample of 4215 3-year-olds. Baseline data relating to behavioral/emotional problems and background characteristics were collected. Follow-up mental health and functional impairment outcomes were collected between 14 and 25 years of age. At age 3 years, males and females in the hyperactive group had similarly raised levels of hyperactivity and other behavior problems. In adolescence/young adulthood, these individuals showed elevated symptoms of ADHD, conduct disorder, mood disorder, anxiety and autism, as well as functional impairment. Preschool hyperactivity was strongly predictive of poor adolescent/adult outcomes for males across domains with effects being specifically driven by hyperactivity. For females, the effects of preschool hyperactivity were smaller and dropped to non-significant levels when other preschool problems were taken into account. Environmental risk factors also differed between the sexes, although these may also have been mediated by genetic risk. In conclusion, these results demonstrate marked sex differences in preschool predictors of later adolescent/adult mental health problems. Future research should include a measure of preschool inattention as well as hyperactivity. The findings highlight the potential value of tailored approaches to early identification strategies.

  2. Health, emergency department use, and early identification of young children exposed to trauma.

    PubMed

    Roberts, Yvonne Humenay; Huang, Cindy Y; Crusto, Cindy A; Kaufman, Joy S

    2014-05-01

    Childhood trauma is an important public health problem with financial, physical health, and mental health repercussions. Emergency departments (EDs) are often the first point of contact for many young children affected by emotionally or psychologically traumatic events (e.g., neglect, separation from primary caregiver, maltreatment, witness to domestic violence within the family, natural disasters). Describe the prevalence of physical health symptoms, ED use, and health-related problems in young children (birth through 5 years) affected by trauma, and to predict whether or not children experiencing trauma are more likely to be affected by health-related problems. Community-based, cross-sectional survey of 208 young children. Traumatic events were assessed by the Traumatic Events Screening Inventory - Parent Report Revised. Child health symptoms and health-related problems were measured using the Caregiver Information Questionnaire, developed by ORC Macro (Atlanta, GA). Seventy-two percent of children had experienced at least one type of traumatic event. Children exposed to trauma were also experiencing recent health-related events, including visits to the ED (32.2%) and the doctor (76.9%) for physical health symptoms, and recurring physical health problems (40.4%). Children previously exposed to high levels of trauma (four or more types of events) were 2.9 times more likely to report having had recently visited the ED for health purposes. Preventing recurrent trauma or recognizing early trauma exposure is difficult, but essential if long-term negative consequences are to be mitigated or prevented. Within EDs, there are missed opportunities for identification and intervention for trauma-exposed children, as well as great potential for expanding primary and secondary prevention of maltreatment-associated illness, injury, and mortality. Copyright © 2014 Elsevier Inc. All rights reserved.

  3. Lymphoedema management: an international intersect between developed and developing countries. Similarities, differences and challenges.

    PubMed

    Stout, Nicole L; Brantus, Pierre; Moffatt, Christine

    2012-01-01

    Lymphoedema is a chronic swelling condition that contributes to disability, dysfunction and lost quality of life. Significant disparities exist worldwide regarding the availability of resources necessary to identify, treat and manage lymphoedema. This disparity transcends socio-economic status and is a common problem in both developed and developing countries. The overall impact of lymphoedema as a public health problem, however, is underestimated, principally due to the lack of epidemiologic data. These problems pose barriers to optimal identification and management of this disabling, lifelong condition. In 1997, the World Health Organization (50.29) resolved that lymphatic filariasis should be eliminated as a public health problem. A component of this strategy focuses on disability management for those suffering from lymphatic filariasis-related morbidity. This initiative has enhanced lymphoedema awareness in developing countries. However, significant deficits persist in health care providers' knowledge, educational initiatives and basic disease identification and treatment. In developed countries, lymphoedema continues to be an underrecognised condition and assumed to be only cancer-related. Health care resources allocated to treat and manage the disease are insufficient for basic and ongoing care, resulting in disease progression and disability. The International Lymphoedema Framework project, established in 2002, seeks to establish a consensus for best practices in the management of lymphoedema worldwide to reduce this disability burden. A basic global construct for lymphoedema management is needed to decrease morbidity and promote optimal disease management across all cultural and socio-economic boundaries. Many countries are unaware of the importance of lymphoedema management and have not defined a national strategy with respect to this problem. The objective of this article is to define similarities and differences in strategies for lymphoedema management between developed and developing countries and advocate for a cohesive and concerted approach to disease management.

  4. Modeling of Diffuse Photometric Signatures of Satellites for Space Object Identification.

    DTIC Science & Technology

    1982-12-01

    to provide the groundwork for devel- opment of a computer program which could serve as an aid to tactical space object identification and analysis ...I Photometric Analysis Capability at the ADIC. . . . . .. 2 Operational Limitations of the Photometric Data Analysis Module (PDA...7 PDAM Diffuse Analysis . . . . . . . . . . . . . . . . . 7 Real World SOI Requirements vs POAN Capabilities . . . . 16 Statement of the Problem

  5. Towards Open-World Person Re-Identification by One-Shot Group-Based Verification.

    PubMed

    Zheng, Wei-Shi; Gong, Shaogang; Xiang, Tao

    2016-03-01

    Solving the problem of matching people across non-overlapping multi-camera views, known as person re-identification (re-id), has received increasing interests in computer vision. In a real-world application scenario, a watch-list (gallery set) of a handful of known target people are provided with very few (in many cases only a single) image(s) (shots) per target. Existing re-id methods are largely unsuitable to address this open-world re-id challenge because they are designed for (1) a closed-world scenario where the gallery and probe sets are assumed to contain exactly the same people, (2) person-wise identification whereby the model attempts to verify exhaustively against each individual in the gallery set, and (3) learning a matching model using multi-shots. In this paper, a novel transfer local relative distance comparison (t-LRDC) model is formulated to address the open-world person re-identification problem by one-shot group-based verification. The model is designed to mine and transfer useful information from a labelled open-world non-target dataset. Extensive experiments demonstrate that the proposed approach outperforms both non-transfer learning and existing transfer learning based re-id methods.

  6. ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data.

    PubMed

    Oluwadare, Oluwatosin; Cheng, Jianlin

    2017-11-14

    With the development of chromosomal conformation capturing techniques, particularly, the Hi-C technique, the study of the spatial conformation of a genome is becoming an important topic in bioinformatics and computational biology. The Hi-C technique can generate genome-wide chromosomal interaction (contact) data, which can be used to investigate the higher-level organization of chromosomes, such as Topologically Associated Domains (TAD), i.e., locally packed chromosome regions bounded together by intra chromosomal contacts. The identification of the TADs for a genome is useful for studying gene regulation, genomic interaction, and genome function. Here, we formulate the TAD identification problem as an unsupervised machine learning (clustering) problem, and develop a new TAD identification method called ClusterTAD. We introduce a novel method to represent chromosomal contacts as features to be used by the clustering algorithm. Our results show that ClusterTAD can accurately predict the TADs on a simulated Hi-C data. Our method is also largely complementary and consistent with existing methods on the real Hi-C datasets of two mouse cells. The validation with the chromatin immunoprecipitation (ChIP) sequencing (ChIP-Seq) data shows that the domain boundaries identified by ClusterTAD have a high enrichment of CTCF binding sites, promoter-related marks, and enhancer-related histone modifications. As ClusterTAD is based on a proven clustering approach, it opens a new avenue to apply a large array of clustering methods developed in the machine learning field to the TAD identification problem. The source code, the results, and the TADs generated for the simulated and real Hi-C datasets are available here: https://github.com/BDM-Lab/ClusterTAD .

  7. ENHANCING RESERVOIR MANAGEMENT IN THE APPALACHIAN BASIN BY IDENTIFYING TECHNICAL BARRIER AND PREFERRED PRACTICES

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

    Ronald R. McDowell; Khashayar Aminian; Katharine L. Avary

    2003-09-01

    The Preferred Upstream Management Practices (PUMP) project, a two-year study sponsored by the United States Department of Energy (USDOE), had three primary objectives: (1) the identification of problems, problematic issues, potential solutions and preferred practices related to oil production; (2) the creation of an Appalachian Regional Council to oversee and continue this investigation beyond the end of the project; and (3) the dissemination of investigative results to the widest possible audience, primarily by means of an interactive website. Investigation and identification of oil production problems and preferred management practices began with a Problem Identification Workshop in January of 2002. Threemore » general issues were selected by participants for discussion: Data Management; Reservoir Engineering; and Drilling Practices. At the same meeting, the concept of the creation of an oversight organization to evaluate and disseminated preferred management practices (PMP's) after the end of the project was put forth and volunteers were solicited. In-depth interviews were arranged with oil producers to gain more insight into problems and potential solutions. Project members encountered considerable reticence on the part of interviewees when it came to revealing company-specific production problems or company-specific solutions. This was the case even though interviewees were assured that all responses would be held in confidence. Nevertheless, the following production issues were identified and ranked in order of decreasing importance: Water production including brine disposal; Management of production and business data; Oil field power costs; Paraffin accumulation; Production practices including cementing. An number of secondary issues were also noted: Problems associated with Enhanced Oil Recovery (EOR) and Waterflooding; Reservoir characterization; Employee availability, training, and safety; and Sale and Purchase problems. One item was mentioned both in interviews and in the Workshop, as, perhaps, the key issue related to oil production in the Appalachian region - the price of a barrel of oil. Project members sought solutions to production problems from a number of sources. In general, the Petroleum Technology Transfer Council (PTTC) website, both regional and national, proved to be a fertile source of information. Technical issues included water production, paraffin accumulation, production practices, EOR and waterflooding were addressed in a number of SPE papers. Articles on reservoir characterization were found in both the AAPG Bulletin and in SPE papers. Project members extracted topical and keyword information from pertinent articles and websites and combined them in a database that was placed on the PUMP website. Because of difficulties finding potential members with the qualifications, interests, and flexibility of schedule to allow a long-term commitment, it was decided to implement the PMP Regional Council as a subcommittee of the Producer Advisory Group (PAG) sponsored by Appalachian Region PTTC. The advantages of this decision are that the PAG is in already in existence as a volunteer group interested in problem identification and implementation of solutions and that PAG members are unpaid, so no outside funds will be required to sustain the group. The PUMP website became active in October of 2002. The site is designed to evolve; as new information becomes available, it can be readily added to the site or the site can be modified to accommodate it. The site is interactive allowing users to search within the PUMP site, within the Appalachian Region PTTC site, or within the whole internet through the input of user-supplied key words for information on oil production problems and solutions. Since its inception in the Fall of 2002, the PUMP site has experienced a growing number of users of increasingly diverse nature and from an increasing geographic area. This indicates that the site is reaching its target audience in the Appalachian region and beyond. Following up on a commitment to technology transfer, a total of eight focused-technology workshops were sponsored by the Appalachian Region PTTC center at the request of the PUMP project. Five Welltender Operations and Safety seminars were held in Kentucky, West Virginia, Ohio, and Pennsylvania. A two-day Applied Reservoir Characterization seminar and a one-day course on Paraffin, Asphaltene, and Scale problems were held in Pennsylvania. A one-day workshop on Produced Water was held in OH. In addition to workshops and the PUMP website, the project also generated several topical reports available to the public through the website and through USDOE.« less

  8. Identification of unknown spatial load distributions in a vibrating Euler-Bernoulli beam from limited measured data

    NASA Astrophysics Data System (ADS)

    Hasanov, Alemdar; Kawano, Alexandre

    2016-05-01

    Two types of inverse source problems of identifying asynchronously distributed spatial loads governed by the Euler-Bernoulli beam equation ρ (x){w}{tt}+μ (x){w}t+{({EI}(x){w}{xx})}{xx}-{T}r{u}{xx}={\\sum }m=1M{g}m(t){f}m(x), (x,t)\\in {{{Ω }}}T := (0,l)× (0,T), with hinged-clamped ends (w(0,t)={w}{xx}(0,t)=0,w(l,t) = {w}x(l,t)=0,t\\in (0,T)), are studied. Here {g}m(t) are linearly independent functions, describing an asynchronous temporal loading, and {f}m(x) are the spatial load distributions. In the first identification problem the values {ν }k(t),k=\\bar{1,K}, of the deflection w(x,t), are assumed to be known, as measured output data, in a neighbourhood of the finite set of points P:= \\{{x}k\\in (0,l),k=\\bar{1,K}\\}\\subset (0,l), corresponding to the internal points of a continuous beam, for all t\\in ]0,T[. In the second identification problem the values {θ }k(t),k=\\bar{1,K}, of the slope {w}x(x,t), are assumed to be known, as measured output data in a neighbourhood of the same set of points P for all t\\in ]0,T[. These inverse source problems will be defined subsequently as the problems ISP1 and ISP2. The general purpose of this study is to develop mathematical concepts and tools that are capable of providing effective numerical algorithms for the numerical solution of the considered class of inverse problems. Note that both measured output data {ν }k(t) and {θ }k(t) contain random noise. In the first part of the study we prove that each measured output data {ν }k(t) and {θ }k(t),k=\\bar{1,K} can uniquely determine the unknown functions {f}m\\in {H}-1(]0,l[),m=\\bar{1,M}. In the second part of the study we will introduce the input-output operators {{ K }}d :{L}2(0,T)\\mapsto {L}2(0,T),({{ K }}df)(t):= w(x,t;f),x\\in P, f(x) := ({f}1(x),\\ldots ,{f}M(x)), and {{ K }}s :{L}2(0,T)\\mapsto {L}2(0,T), ({{ K }}sf)(t):= {w}x(x,t;f), x\\in P , corresponding to the problems ISP1 and ISP2, and then reformulate these problems as the operator equations: {{ K }}df=ν and {{ K }}sf=θ , where ν (t):= ({ν }1(t),\\ldots ,{ν }K(t)) and {θ }k(t):= ({θ }1(t),\\ldots ,{θ }K(t)). Since both measured output data contain random noise, we use the most prominent regularisation method, Tikhonov regularisation, introducing the regularised cost functionals {J}1α (f):= (1/2)\\parallel {{ K }}df-ν {\\parallel }{L2(0,T)}2+(1/2)α \\parallel f{\\parallel }{L2(0,T)}2 and {J}2α (f):= (1/2)\\parallel {{ K }}sf-θ {\\parallel }{L2(0,T)}2+(1/2)α \\parallel f{\\parallel }{L2(0,T)}2. Using a priori estimates for the weak solution of the direct problem and the Tikhonov regularisation method combined with the adjoint problem approach, we prove that the Fréchet gradients {J}1\\prime (f) and {J}2\\prime (f) of both cost functionals can explicitly be derived via the corresponding weak solutions of adjoint problems and the known temporal loads {g}m(t). Moreover, we show that these gradients are Lipschitz continuous, which allows the use of gradient type iteration convergent algorithms. Two applications of the proposed theory are presented. It is shown that solvability results for inverse source problems related to the synchronous loading case, with a single interior measured data, are special cases of the obtained results for asynchronously distributed spatial load cases.

  9. Applications of numerical methods to simulate the movement of contaminants in groundwater.

    PubMed Central

    Sun, N Z

    1989-01-01

    This paper reviews mathematical models and numerical methods that have been extensively used to simulate the movement of contaminants through the subsurface. The major emphasis is placed on the numerical methods of advection-dominated transport problems and inverse problems. Several mathematical models that are commonly used in field problems are listed. A variety of numerical solutions for three-dimensional models are introduced, including the multiple cell balance method that can be considered a variation of the finite element method. The multiple cell balance method is easy to understand and convenient for solving field problems. When the advection transport dominates the dispersion transport, two kinds of numerical difficulties, overshoot and numerical dispersion, are always involved in solving standard, finite difference methods and finite element methods. To overcome these numerical difficulties, various numerical techniques are developed, such as upstream weighting methods and moving point methods. A complete review of these methods is given and we also mention the problems of parameter identification, reliability analysis, and optimal-experiment design that are absolutely necessary for constructing a practical model. PMID:2695327

  10. Overview of the Photovoltaic Manufacturing Technology (PVMaT) project

    NASA Astrophysics Data System (ADS)

    Witt, C. E.; Mitchell, R. L.; Mooney, G. D.

    1993-08-01

    The Photovoltaic Manufacturing Technology (PVMaT) project is a historic government/industry photovoltaic (PV) manufacturing R&D partnership composed of joint efforts between the federal government (through the US Department of Energy) and members of the US PV industry. The project's ultimate goal is to ensure that the US industry retains and extends its world leadership role in the manufacture and commercial development of PV components and systems. PVMaT is designed to do this by helping the US PV industry improve manufacturing processes, accelerate manufacturing cost reductions for PV modules, improve commercial product performance, and lay the groundwork for a substantial scale-up of US-based PV manufacturing capacities. Phase 1 of the project, the problem identification phase, was completed in early 1991. Phase 2, the problem solution phase, which addresses process-specific problems of specific manufacturers, is now underway with an expected duration of 5 years. Phase 3 addresses R&D problems that are relatively common to a number of PV companies or the PV industry as a whole. These 'generic' problem areas are being addressed through a teamed research approach.

  11. Distributed Parallel Processing and Dynamic Load Balancing Techniques for Multidisciplinary High Speed Aircraft Design

    NASA Technical Reports Server (NTRS)

    Krasteva, Denitza T.

    1998-01-01

    Multidisciplinary design optimization (MDO) for large-scale engineering problems poses many challenges (e.g., the design of an efficient concurrent paradigm for global optimization based on disciplinary analyses, expensive computations over vast data sets, etc.) This work focuses on the application of distributed schemes for massively parallel architectures to MDO problems, as a tool for reducing computation time and solving larger problems. The specific problem considered here is configuration optimization of a high speed civil transport (HSCT), and the efficient parallelization of the embedded paradigm for reasonable design space identification. Two distributed dynamic load balancing techniques (random polling and global round robin with message combining) and two necessary termination detection schemes (global task count and token passing) were implemented and evaluated in terms of effectiveness and scalability to large problem sizes and a thousand processors. The effect of certain parameters on execution time was also inspected. Empirical results demonstrated stable performance and effectiveness for all schemes, and the parametric study showed that the selected algorithmic parameters have a negligible effect on performance.

  12. Problem formulation and option assessment (PFOA) linking governance and environmental risk assessment for technologies: a methodology for problem analysis of nanotechnologies and genetically engineered organisms.

    PubMed

    Nelson, Kristen C; Andow, David A; Banker, Michael J

    2009-01-01

    Societal evaluation of new technologies, specifically nanotechnology and genetically engineered organisms (GEOs), challenges current practices of governance and science. Employing environmental risk assessment (ERA) for governance and oversight assumes we have a reasonable ability to understand consequences and predict adverse effects. However, traditional ERA has come under considerable criticism for its many shortcomings and current governance institutions have demonstrated limitations in transparency, public input, and capacity. Problem Formulation and Options Assessment (PFOA) is a methodology founded on three key concepts in risk assessment (science-based consideration, deliberation, and multi-criteria analysis) and three in governance (participation, transparency, and accountability). Developed through a series of international workshops, the PFOA process emphasizes engagement with stakeholders in iterative stages, from identification of the problem(s) through comparison of multiple technology solutions that could be used in the future with their relative benefits, harms, and risk. It provides "upstream public engagement" in a deliberation informed by science that identifies values for improved decision making.

  13. Physician behavior towards male and female problem drinkers: a controlled study using simulated patients.

    PubMed

    Wilson, Lynn; Kahan, Meldon; Liu, Eleanor; Brewster, Joan M; Sobell, Mark B; Sobell, Linda C

    2002-01-01

    Evidence suggests that physicians are less likely to identify alcohol problems in females than in males. To compare the performance of family medicine residents with male and female simulated patients (SPs) posing as problem drinkers. Fifty-six family medicine residents completed a baseline survey on knowledge and attitudes towards problem drinkers. Each resident was then visited by one male and female unannounced SP. The male and female roles were similar with respect to presenting complaint (in somnia or hypertension), age, social class, and drinking history. Residents expressed slightly more positive attitudes towards female than male patients (3.32 vs. 3.09, p < .001). Residents scored higher with undetected male than with undetected female SPs on the assessment checklist (5.1 vs. 3.2, p < .045), the management checklist (4.4 vs. 3.2, p = .032), and an interpersonal rating scale (the Alcohol Skills Rating Form; 5.5 vs. 4.7, p = .023). Educational programs should focus on improving physicians' clinical skills in the identification and treatment of alcohol problems in women.

  14. Video Game Genre as a Predictor of Problem Use

    PubMed Central

    Golub, Andrew; Ream, Geoffrey; Dunlap, Eloise

    2012-01-01

    Abstract This study assessed how problem video game playing (PVP) varies with game type, or “genre,” among adult video gamers. Participants (n=3,380) were adults (18+) who reported playing video games for 1 hour or more during the past week and completed a nationally representative online survey. The survey asked about characteristics of video game use, including titles played in the past year and patterns of (problematic) use. Participants self-reported the extent to which characteristics of PVP (e.g., playing longer than intended) described their game play. Five percent of our sample reported moderate to extreme problems. PVP was concentrated among persons who reported playing first-person shooter, action adventure, role-playing, and gambling games most during the past year. The identification of a subset of game types most associated with problem use suggests new directions for research into the specific design elements and reward mechanics of “addictive” video games and those populations at greatest risk of PVP with the ultimate goal of better understanding, preventing, and treating this contemporary mental health problem. PMID:22242785

  15. Social Orientation: Problem Behavior and Motivations Toward Interpersonal Problem Solving Among High Risk Adolescents

    PubMed Central

    Kuperminc, Gabriel P.; Allen, Joseph P.

    2006-01-01

    A model of problematic adolescent behavior that expands current theories of social skill deficits in delinquent behavior to consider both social skills and orientation toward the use of adaptive skills was examined in an ethnically and socioeconomically diverse sample of 113 male and female adolescents. Adolescents were selected on the basis of moderate to serious risk for difficulties in social adaptation in order to focus on the population of youth most likely to be targeted by prevention efforts. Structural equation modeling was used to examine cross-sectional data using multiple informants (adolescents, peers, and parents) and multiple methods (performance test and self-report). Adolescent social orientation, as reflected in perceived problem solving effectiveness, identification with adult prosocial values, and self-efficacy expectations, exhibited a direct association to delinquent behavior and an indirect association to drug involvement mediated by demonstrated success in using problem solving skills. Results suggest that the utility of social skill theories of adolescent problem behaviors for informing preventive and remedial interventions can be enhanced by expanding them to consider adolescents’ orientation toward using the skills they may already possess. PMID:16929380

  16. Identification of Boolean Network Models From Time Series Data Incorporating Prior Knowledge.

    PubMed

    Leifeld, Thomas; Zhang, Zhihua; Zhang, Ping

    2018-01-01

    Motivation: Mathematical models take an important place in science and engineering. A model can help scientists to explain dynamic behavior of a system and to understand the functionality of system components. Since length of a time series and number of replicates is limited by the cost of experiments, Boolean networks as a structurally simple and parameter-free logical model for gene regulatory networks have attracted interests of many scientists. In order to fit into the biological contexts and to lower the data requirements, biological prior knowledge is taken into consideration during the inference procedure. In the literature, the existing identification approaches can only deal with a subset of possible types of prior knowledge. Results: We propose a new approach to identify Boolean networks from time series data incorporating prior knowledge, such as partial network structure, canalizing property, positive and negative unateness. Using vector form of Boolean variables and applying a generalized matrix multiplication called the semi-tensor product (STP), each Boolean function can be equivalently converted into a matrix expression. Based on this, the identification problem is reformulated as an integer linear programming problem to reveal the system matrix of Boolean model in a computationally efficient way, whose dynamics are consistent with the important dynamics captured in the data. By using prior knowledge the number of candidate functions can be reduced during the inference. Hence, identification incorporating prior knowledge is especially suitable for the case of small size time series data and data without sufficient stimuli. The proposed approach is illustrated with the help of a biological model of the network of oxidative stress response. Conclusions: The combination of efficient reformulation of the identification problem with the possibility to incorporate various types of prior knowledge enables the application of computational model inference to systems with limited amount of time series data. The general applicability of this methodological approach makes it suitable for a variety of biological systems and of general interest for biological and medical research.

  17. FORTRAN Automated Code Evaluation System (faces) system documentation, version 2, mod 0. [error detection codes/user manuals (computer programs)

    NASA Technical Reports Server (NTRS)

    1975-01-01

    A system is presented which processes FORTRAN based software systems to surface potential problems before they become execution malfunctions. The system complements the diagnostic capabilities of compilers, loaders, and execution monitors rather than duplicating these functions. Also, it emphasizes frequent sources of FORTRAN problems which require inordinate manual effort to identify. The principle value of the system is extracting small sections of unusual code from the bulk of normal sequences. Code structures likely to cause immediate or future problems are brought to the user's attention. These messages stimulate timely corrective action of solid errors and promote identification of 'tricky' code. Corrective action may require recoding or simply extending software documentation to explain the unusual technique.

  18. Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call Routing Problem

    NASA Astrophysics Data System (ADS)

    Rustamov, Samir; Mustafayev, Elshan; Clements, Mark A.

    2018-04-01

    The context analysis of customer requests in a natural language call routing problem is investigated in the paper. One of the most significant problems in natural language call routing is a comprehension of client request. With the aim of finding a solution to this issue, the Hybrid HMM and ANFIS models become a subject to an examination. Combining different types of models (ANFIS and HMM) can prevent misunderstanding by the system for identification of user intention in dialogue system. Based on these models, the hybrid system may be employed in various language and call routing domains due to nonusage of lexical or syntactic analysis in classification process.

  19. The California corridor transportation system: A design summary

    NASA Technical Reports Server (NTRS)

    1990-01-01

    A design group was assembled to find and research criteria relevent to the design of a California Corridor Transportation System. The efforts of this group included defining the problem, conducting a market analysis, formulation of a demand model, identification and evaluation of design drivers, and the systematic development of a solution. The problems of the current system were analyzed and used to determine design drivers, which were divided into the broad categories of cost, convenience, feasibility, environment, safety, and social impact. The relative importance of individual problems was addressed, resulting in a hierarchy of design drivers. Where possible, methods of evaluating the relative merit of proposed systems with respect to each driver were developed. Short takeoff vertical landing aircraft concepts are also discussed for supersonic fighters.

  20. Extending ALE3D, an Arbitrarily Connected hexahedral 3D Code, to Very Large Problem Size (U)

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

    Nichols, A L

    2010-12-15

    As the number of compute units increases on the ASC computers, the prospect of running previously unimaginably large problems is becoming a reality. In an arbitrarily connected 3D finite element code, like ALE3D, one must provide a unique identification number for every node, element, face, and edge. This is required for a number of reasons, including defining the global connectivity array required for domain decomposition, identifying appropriate communication patterns after domain decomposition, and determining the appropriate load locations for implicit solvers, for example. In most codes, the unique identification number is defined as a 32-bit integer. Thus the maximum valuemore » available is 231, or roughly 2.1 billion. For a 3D geometry consisting of arbitrarily connected hexahedral elements, there are approximately 3 faces for every element, and 3 edges for every node. Since the nodes and faces need id numbers, using 32-bit integers puts a hard limit on the number of elements in a problem at roughly 700 million. The first solution to this problem would be to replace 32-bit signed integers with 32-bit unsigned integers. This would increase the maximum size of a problem by a factor of 2. This provides some head room, but almost certainly not one that will last long. Another solution would be to replace all 32-bit int declarations with 64-bit long long declarations. (long is either a 32-bit or a 64-bit integer, depending on the OS). The problem with this approach is that there are only a few arrays that actually need to extended size, and thus this would increase the size of the problem unnecessarily. In a future computing environment where CPUs are abundant but memory relatively scarce, this is probably the wrong approach. Based on these considerations, we have chosen to replace only the global identifiers with the appropriate 64-bit integer. The problem with this approach is finding all the places where data that is specified as a 32-bit integer needs to be replaced with the 64-bit integer. that need to be replaced. In the rest of this paper we describe the techniques used to facilitate this transformation, issues raised, and issues still to be addressed. This poster will describe the reasons, methods, issues associated with extending the ALE3D code to run problems larger than 700 million elements.« less

  1. Metropolitan Forensic Anthropology Team (MFAT) studies in identification: 1. Race and sex assessment by discriminant function analysis of the postcranial skeleton.

    PubMed

    Taylor, J V; DiBennardo, R; Linares, G H; Goldman, A D; DeForest, P R

    1984-07-01

    A case study is presented to demonstrate the utility of the team approach to the identification of human remains, and to illustrate a methodological innovation developed by MFAT. Case 1 represents the first of several planned case studies, each designed to present new methodological solutions to standard problems in identification. The present case describes a test, by application, of race and sex assessment of the postcranial skeleton by discriminant function analysis.

  2. Analysis and application of minimum variance discrete time system identification

    NASA Technical Reports Server (NTRS)

    Kaufman, H.; Kotob, S.

    1975-01-01

    An on-line minimum variance parameter identifier is developed which embodies both accuracy and computational efficiency. The formulation results in a linear estimation problem with both additive and multiplicative noise. The resulting filter which utilizes both the covariance of the parameter vector itself and the covariance of the error in identification is proven to be mean square convergent and mean square consistent. The MV parameter identification scheme is then used to construct a stable state and parameter estimation algorithm.

  3. The concept of identification in the work of Freud, Ferenczi, and Abraham: a review and commentary.

    PubMed

    Compton, A

    1985-04-01

    The development of the concept of identification in the work of Freud, Ferenczi, and Abraham is reviewed and analyzed from the standpoint of the development of the psychoanalytic object concept in general. Problems in the theory are seen to be related to ambiguity of the terms, ego and object, especially as reflected in the idea of introjection. The concept of identification, on the other hand, is shown to have undergone consistent evolution and expansion.

  4. Novel inter-crystal scattering event identification method for PET detectors

    NASA Astrophysics Data System (ADS)

    Lee, Min Sun; Kang, Seung Kwan; Lee, Jae Sung

    2018-06-01

    Here, we propose a novel method to identify inter-crystal scattering (ICS) events from a PET detector that is even applicable to light-sharing designs. In the proposed method, the detector observation was considered as a linear problem and ICS events were identified by solving this problem. Two ICS identification methods were suggested for solving the linear problem, pseudoinverse matrix calculation and convex constrained optimization. The proposed method was evaluated based on simulation and experimental studies. For the simulation study, an 8  ×  8 photo sensor was coupled to 8  ×  8, 10  ×  10 and 12  ×  12 crystal arrays to simulate a one-to-one coupling and two light-sharing detectors, respectively. The identification rate, the rate that the identified ICS events correctly include the true first interaction position and the energy linearity were evaluated for the proposed ICS identification methods. For the experimental study, a digital silicon photomultiplier was coupled with 8  ×  8 and 10  ×  10 arrays of 3  ×  3  ×  20 mm3 LGSO crystals to construct the one-to-one coupling and light-sharing detectors, respectively. Intrinsic spatial resolutions were measured for two detector types. The proposed ICS identification methods were implemented, and intrinsic resolutions were compared with and without ICS recovery. As a result, the simulation study showed that the proposed convex optimization method yielded robust energy estimation and high ICS identification rates of 0.93 and 0.87 for the one-to-one and light-sharing detectors, respectively. The experimental study showed a resolution improvement after recovering the identified ICS events into the first interaction position. The average intrinsic spatial resolutions for the one-to-one and light-sharing detector were 1.95 and 2.25 mm in the FWHM without ICS recovery, respectively. These values improved to 1.72 and 1.83 mm after ICS recovery, respectively. In conclusion, our proposed method showed good ICS identification in both one-to-one coupling and light-sharing detectors. We experimentally validated that the ICS recovery based on the proposed identification method led to an improved resolution.

  5. Research Problems in Developing Giftedness: A Worldwide Perspective.

    ERIC Educational Resources Information Center

    Passow, A. Harry; Schiff, Jacob H.

    1991-01-01

    This paper describes world perspectives on gifted education, focusing on definitions, identification procedures, and attitudes. It then examines key areas in gifted education that require further clarification and rigorous examination. (Author/JDD)

  6. Identification of successful ridesharing strategies.

    DOT National Transportation Integrated Search

    1989-01-01

    Ridesharing offers a relatively low-cost solution to the problems associated with high commuting costs, traffic congestion, unmet parking demands, energy shortages, and excessive air pollutants. Accordingly, it is worthwhile to develop a list of stra...

  7. Identity method for particle number fluctuations and correlations

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

    Gorenstein, M. I.

    An incomplete particle identification distorts the observed event-by-event fluctuations of the hadron chemical composition in nucleus-nucleus collisions. A new experimental technique called the identity method was recently proposed. It eliminated the misidentification problem for one specific combination of the second moments in a system of two hadron species. In the present paper, this method is extended to calculate all the second moments in a system with an arbitrary number of hadron species. Special linear combinations of the second moments are introduced. These combinations are presented in terms of single-particle variables and can be found experimentally from the event-by-event averaging. Themore » mathematical problem is then reduced to solving a system of linear equations. The effect of incomplete particle identification is fully eliminated from the final results.« less

  8. Blur identification by multilayer neural network based on multivalued neurons.

    PubMed

    Aizenberg, Igor; Paliy, Dmitriy V; Zurada, Jacek M; Astola, Jaakko T

    2008-05-01

    A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of specific different features. Its backpropagation learning algorithm is derivative-free. The functionality of MLMVN is superior to that of the traditional feedforward neural networks and of a variety kernel-based networks. Its higher flexibility and faster adaptation to the target mapping enables to model complex problems using simpler networks. In this paper, the MLMVN is used to identify both type and parameters of the point spread function, whose precise identification is of crucial importance for the image deblurring. The simulation results show the high efficiency of the proposed approach. It is confirmed that the MLMVN is a powerful tool for solving classification problems, especially multiclass ones.

  9. Identification of mutated driver pathways in cancer using a multi-objective optimization model.

    PubMed

    Zheng, Chun-Hou; Yang, Wu; Chong, Yan-Wen; Xia, Jun-Feng

    2016-05-01

    New-generation high-throughput technologies, including next-generation sequencing technology, have been extensively applied to solve biological problems. As a result, large cancer genomics projects such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium are producing large amount of rich and diverse data in multiple cancer types. The identification of mutated driver genes and driver pathways from these data is a significant challenge. Genome aberrations in cancer cells can be divided into two types: random 'passenger mutation' and functional 'driver mutation'. In this paper, we introduced a Multi-objective Optimization model based on a Genetic Algorithm (MOGA) to solve the maximum weight submatrix problem, which can be employed to identify driver genes and driver pathways promoting cancer proliferation. The maximum weight submatrix problem defined to find mutated driver pathways is based on two specific properties, i.e., high coverage and high exclusivity. The multi-objective optimization model can adjust the trade-off between high coverage and high exclusivity. We proposed an integrative model by combining gene expression data and mutation data to improve the performance of the MOGA algorithm in a biological context. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. Biomedical Applications of NASA Science and Technology

    NASA Technical Reports Server (NTRS)

    Brown, James N., Jr.

    1968-01-01

    During the period 15 September 1968 to 14 December 1968, the NASA supported Biomedical Application Team at the Research Triangle Institute has identified 6 new problems, performed significant activities on 15 of the active problems identified previously, performed 5 computer searches of the NASA aerospace literature, and maintained one current awareness search. As a partial result of these activities, one technology transfer was accomplished. As a part of continuing problem review, 13 problems were classified inactive. Activities during the quarter involved all phases of team activity with respect to biomedical problems. As has been observed in preceding years, it has been exceedingly difficult to arrange meetings with medical investigators during the fourth quarter of the calendar year. This is a result of a combination of factors. Teaching requirements, submission of grant applications and holidays are the most significant factors involved. As a result, the numbers of new problems identified and of transfers and potential transfers are relatively low during this quarter. Most of our activities have thus been directed toward obtaining information related to problems already identified. Consequently, during the next quarter we will follow up on these activities with the expectation that transfers will be accomplished on a number of them. In addition, the normal availability of researchers to the team is expected to be restored during this quarter, permitting an increase in new problem identification activities as well as follow-up with other researchers on old problems. Another activity scheduled for the next quarter is consultation with several interested biomedical equipment manufacturers to explore means of effective interaction between the Biomedical Application Team and these companies.

  11. Employee assistance program services for alcohol and other drug problems: implications for increased identification and engagement in treatment.

    PubMed

    Jacobson, Jodi M; Sacco, Paul

    2012-01-01

    Fourteen million U.S. workers meet the diagnostic criteria for substance dependence, costing millions in lost productivity. Prior research suggests that employees who follow through with their Employee Assistance Program's (EAP) recommendations are more likely to participate and remain engaged in alcohol and other drug (AOD) treatment programs. This study identified rates of lifetime EAP service use for AOD problems and compared adults who reported using EAP services for AOD problems with those who used services other than EAP. Researchers analyzed a subset of participants from the National Epidemiologic Survey of Alcohol and Related Conditions who reported having received help for an AOD problem (NESARC, 2001-2002). Statistical analyses tested for differences in sociodemographic variables, lifetime mental health and substance abuse disorders, and health disability between EAP services users and users of other types of services. Among adults who sought services for AOD problems (n= 2,272), 7.58% (n= 166) reported using EAP services for these problems at some point during their lives. Major depressive disorder (lifetime), a drug use disorder (lifetime), and Black race/ethnicity were associated with a greater likelihood that someone would seek EAP services for help with their AOD problem. Results provide a foundation for researchers to understand who uses EAP services for AOD problems. Health and mental health professionals should increase their knowledge of EAP services to improve continuity of care for employees with AOD problems. EAPs are in a unique position to reach out to vulnerable employees in the workplace and engage them in treatment. Copyright © American Academy of Addiction Psychiatry.

  12. Critical Thinking Skills Of Junior High School Female Students With High Mathematical Skills In Solving Contextual And Formal Mathematical Problems

    NASA Astrophysics Data System (ADS)

    Ismail; Suwarsono, St.; Lukito, A.

    2018-01-01

    Critical thinking is one of the most important skills of the 21st century in addition to other learning skills such as creative thinking, communication skills and collaborative skills. This is what makes researchers feel the need to conduct research on critical thinking skills in junior high school students. The purpose of this study is to describe the critical thinking skills of junior high school female students with high mathematical skills in solving contextual and formal mathematical problems. To achieve this is used qualitative research. The subject of the study was a female student of eight grade junior high school. The students’ critical thinking skills are derived from in-depth problem-based interviews using interview guidelines. Interviews conducted in this study are problem-based interviews, which are done by the subject given a written assignment and given time to complete. The results show that critical thinking skills of female high school students with high math skills are as follows: In solving the problem at the stage of understanding the problem used interpretation skills with sub-indicators: categorization, decode, and clarify meaning. At the planning stage of the problem-solving strategy is used analytical skills with sub-indicators: idea checking, argument identification and argument analysis and evaluation skills with sub indicators: assessing the argument. In the implementation phase of problem solving, inference skills are used with subindicators: drawing conclusions, and problem solving and explanatory skills with sub-indicators: problem presentation, justification procedures, and argument articulation. At the re-checking stage all steps have been employed self-regulatory skills with sub-indicators: self-correction and selfstudy.

  13. The Mutual Relationship Between Men's Drinking and Depression: A 4-Year Longitudinal Analysis.

    PubMed

    Lee, Soo Bi; Chung, Sulki; Lee, HaeKook; Seo, Jeong Seok

    2018-03-17

    The purpose of the current study was to examine the longitudinal reciprocal relationship between depression and drinking among male adults from the general population. This study used a panel dataset from the Korean Welfare Panel (from 2011 to 2014). The subjects were 2511 male adults aged between 20 and 65 years. Based on the Korean Version of the Alcohol Use Disorders Identification Test (AUDIT-K) scores, 2191 subjects were categorized as the control group (AUDIT-K < 12) and 320 subjects were categorized as the problem drinking group (AUDIT-K ≥ 12). An autoregressive cross-lagged modelling analysis was performed to investigate the mutual relationship between problem drinking and depression measured consecutively over time. The results indicated that alcohol drinking and depression were stable over time. In the control group, there was no significant causal relationship between problem drinking and depression while in the problem drinking group, drinking in the previous year significantly influenced depression in the following second, third and fourth years. This study compared normal versus problem drinkers and showed a 4-year mutual causal relationship between depression and drinking. No longitudinal interaction between drinking and depression occurred in normal drinkers, while drinking intensified depression over time in problem drinkers. This study found that problem drinking was a risk factor for development of depression. Therefore, more attention should be given to problem alcohol use in the general population and evaluation of past alcohol use history in patients with depressive disorders.

  14. Influence of conduct problems and depressive symptomatology on adolescent substance use: developmentally proximal versus distal effects.

    PubMed

    Maslowsky, Julie; Schulenberg, John E; Zucker, Robert A

    2014-04-01

    The identification of developmentally specific windows at which key predictors of adolescent substance use are most influential is a crucial task for informing the design of appropriately targeted substance use prevention and intervention programs. The current study examined effects of conduct problems and depressive symptomatology on changes in alcohol, cigarette, and marijuana from 8th through 12th grade. We examined the effects of relatively developmentally distal versus proximal mental health problems on adolescent substance use and tested for gender differences. With a national, longitudinal sample from the Monitoring the Future study (N = 3,014), structural equation modeling was used to test the effects of 8th and 10th grade conduct problems and depressive symptomatology on subsequent changes in alcohol, cigarette, and marijuana use from 8th through 12th grade. Results indicated that relatively distal (8th grade) mental health problems were stronger predictors of increases in alcohol, cigarette, and marijuana use than were relatively more proximal (10th grade) mental health problems. Eighth grade conduct problems had the strongest effects on alcohol and marijuana use, and 8th grade depressive symptomatology had the strongest effects on cigarette use. Few gender differences were observed. These results suggest that intervening in earlier appearing conduct problems and depressive symptomatology may lead to a reduction in adolescent substance use in 10th and 12th grades and beyond. PsycINFO Database Record (c) 2014 APA, all rights reserved.

  15. Reintegration after bone marrow transplantation.

    PubMed

    Baker, F; Zabora, J; Polland, A; Wingard, J

    1999-01-01

    This study examines the problems of bone marrow transplantation (BMT) survivors in returning to "normal" life in the community after BMT. Before being released from The Johns Hopkins Oncology Center, 84 recipients of BMT were interviewed regarding their quality of life and psychosocial adaptation. Survivors were reinterviewed at 6 months, and at 1 year post-BMT, producing considerable qualitative data regarding their problems in living. Eighty-four patients who had received BMT completed qualitative interviews and standardized measures before treatment, before the return home, and at 6 and 12 months post-BMT. The interviews were subjected to a content analysis methodology to establish units and categories to examine the body of material. Content analysis of these interviews from the first year after BMT identified three areas of psychosocial morbidity; 1) physical problems, which included fatigue, appearance, troubles in eating, and physical restrictions; 2) psychological problems, which included fears about the future, sense of loss of control, anxiety, and depression; and 3) community reintegration problems, which included difficulty in returning to former social roles, separation from home, family, and friends, difficulty in resuming social relations, dealing with stigmatization, problems with family and children, and financial and employment difficulties. Identification of these problems for BMT survivors can be used to guide the development of specific materials and services to prepare recipients of BMTs and their families for life after the transplant. These qualitative results can also be used to direct the development of assessment tools to identify potential patient and family problems.

  16. Sensitivity Analysis for some Water Pollution Problem

    NASA Astrophysics Data System (ADS)

    Le Dimet, François-Xavier; Tran Thu, Ha; Hussaini, Yousuff

    2014-05-01

    Sensitivity Analysis for Some Water Pollution Problems Francois-Xavier Le Dimet1 & Tran Thu Ha2 & M. Yousuff Hussaini3 1Université de Grenoble, France, 2Vietnamese Academy of Sciences, 3 Florida State University Sensitivity analysis employs some response function and the variable with respect to which its sensitivity is evaluated. If the state of the system is retrieved through a variational data assimilation process, then the observation appears only in the Optimality System (OS). In many cases, observations have errors and it is important to estimate their impact. Therefore, sensitivity analysis has to be carried out on the OS, and in that sense sensitivity analysis is a second order property. The OS can be considered as a generalized model because it contains all the available information. This presentation proposes a method to carry out sensitivity analysis in general. The method is demonstrated with an application to water pollution problem. The model involves shallow waters equations and an equation for the pollutant concentration. These equations are discretized using a finite volume method. The response function depends on the pollutant source, and its sensitivity with respect to the source term of the pollutant is studied. Specifically, we consider: • Identification of unknown parameters, and • Identification of sources of pollution and sensitivity with respect to the sources. We also use a Singular Evolutive Interpolated Kalman Filter to study this problem. The presentation includes a comparison of the results from these two methods. .

  17. Inverse models: A necessary next step in ground-water modeling

    USGS Publications Warehouse

    Poeter, E.P.; Hill, M.C.

    1997-01-01

    Inverse models using, for example, nonlinear least-squares regression, provide capabilities that help modelers take full advantage of the insight available from ground-water models. However, lack of information about the requirements and benefits of inverse models is an obstacle to their widespread use. This paper presents a simple ground-water flow problem to illustrate the requirements and benefits of the nonlinear least-squares repression method of inverse modeling and discusses how these attributes apply to field problems. The benefits of inverse modeling include: (1) expedited determination of best fit parameter values; (2) quantification of the (a) quality of calibration, (b) data shortcomings and needs, and (c) confidence limits on parameter estimates and predictions; and (3) identification of issues that are easily overlooked during nonautomated calibration.Inverse models using, for example, nonlinear least-squares regression, provide capabilities that help modelers take full advantage of the insight available from ground-water models. However, lack of information about the requirements and benefits of inverse models is an obstacle to their widespread use. This paper presents a simple ground-water flow problem to illustrate the requirements and benefits of the nonlinear least-squares regression method of inverse modeling and discusses how these attributes apply to field problems. The benefits of inverse modeling include: (1) expedited determination of best fit parameter values; (2) quantification of the (a) quality of calibration, (b) data shortcomings and needs, and (c) confidence limits on parameter estimates and predictions; and (3) identification of issues that are easily overlooked during nonautomated calibration.

  18. The burgeoning field of transdisciplinary adaptation research in Quebec (1998-): a climate change-related public health narrative.

    PubMed

    Gosselin, Pierre; Bélanger, Diane; Lapaige, Véronique; Labbé, Yolaine

    2011-01-01

    This paper presents a public health narrative on Quebec's new climatic conditions and human health, and describes the transdisciplinary nature of the climate change adaptation research currently being adopted in Quebec, characterized by the three phases of problem identification, problem investigation, and problem transformation. A transdisciplinary approach is essential for dealing with complex ill-defined problems concerning human-environment interactions (for example, climate change), for allowing joint research, collective leadership, complex collaborations, and significant exchanges among scientists, decision makers, and knowledge users. Such an approach is widely supported in theory but has proved to be extremely difficult to implement in practice, and those who attempt it have met with heavy resistance, succeeding when they find the occasional opportunity within institutional or social contexts. In this paper we narrate the ongoing struggle involved in tackling the negative effects of climate change in multi-actor contexts at local and regional levels, a struggle that began in a quiet way in 1998. The paper will describe how public health adaptation research is supporting transdisciplinary action and implementation while also preparing for the future, and how this interaction to tackle a life-world problem (adaptation of the Quebec public health sector to climate change) in multi-actors contexts has progressively been established during the last 13 years. The first of the two sections introduces the social context of a Quebec undergoing climate changes. Current climatic conditions and expected changes will be described, and attendant health risks for the Quebec population. The second section addresses the scientific, institutional and normative dimensions of the problem. It corresponds to a "public health narrative" presented in three phases: (1) problem identification (1998-2002) beginning in northern Quebec; (2) problem investigation (2002-2006) in which the issues are successively explored, understood, and conceptualized for all of Quebec, and (3) problem transformation (2006-2009), which discusses major interactions among the stakeholders and the presentation of an Action Plan by a central actor, the Quebec government, in alliance with other stakeholders. In conclusion, we underline the importance, in the current context, of providing for a sustained transdisciplinary adaptation to climatic change. This paper should be helpful for (1) public health professionals confronted with establishing a transdisciplinary approach to a real-world problem other than climate change, (2) professionals in other sectors (such as public safety, built environment) confronted with climate change, who wish to implement transdisciplinary adaptive interventions and/or research, and (3) knowledge users (public and private actors; nongovernment organizations; citizens) from elsewhere in multi-contexts/environments/sectors who wish to promote complex collaborations (with us or not), collective leadership, and "transfrontier knowledge-to-action" for implementing climate change-related adaptation measures.

  19. The burgeoning field of transdisciplinary adaptation research in Quebec (1998–): a climate change-related public health narrative

    PubMed Central

    Gosselin, Pierre; Bélanger, Diane; Lapaige, Véronique; Labbé, Yolaine

    2011-01-01

    This paper presents a public health narrative on Quebec’s new climatic conditions and human health, and describes the transdisciplinary nature of the climate change adaptation research currently being adopted in Quebec, characterized by the three phases of problem identification, problem investigation, and problem transformation. A transdisciplinary approach is essential for dealing with complex ill-defined problems concerning human–environment interactions (for example, climate change), for allowing joint research, collective leadership, complex collaborations, and significant exchanges among scientists, decision makers, and knowledge users. Such an approach is widely supported in theory but has proved to be extremely difficult to implement in practice, and those who attempt it have met with heavy resistance, succeeding when they find the occasional opportunity within institutional or social contexts. In this paper we narrate the ongoing struggle involved in tackling the negative effects of climate change in multi-actor contexts at local and regional levels, a struggle that began in a quiet way in 1998. The paper will describe how public health adaptation research is supporting transdisciplinary action and implementation while also preparing for the future, and how this interaction to tackle a life-world problem (adaptation of the Quebec public health sector to climate change) in multi-actors contexts has progressively been established during the last 13 years. The first of the two sections introduces the social context of a Quebec undergoing climate changes. Current climatic conditions and expected changes will be described, and attendant health risks for the Quebec population. The second section addresses the scientific, institutional and normative dimensions of the problem. It corresponds to a “public health narrative” presented in three phases: (1) problem identification (1998–2002) beginning in northern Quebec; (2) problem investigation (2002–2006) in which the issues are successively explored, understood, and conceptualized for all of Quebec, and (3) problem transformation (2006–2009), which discusses major interactions among the stakeholders and the presentation of an Action Plan by a central actor, the Quebec government, in alliance with other stakeholders. In conclusion, we underline the importance, in the current context, of providing for a sustained transdisciplinary adaptation to climatic change. This paper should be helpful for (1) public health professionals confronted with establishing a transdisciplinary approach to a real-world problem other than climate change, (2) professionals in other sectors (such as public safety, built environment) confronted with climate change, who wish to implement transdisciplinary adaptive interventions and/or research, and (3) knowledge users (public and private actors; nongovernment organizations; citizens) from elsewhere in multi-contexts/environments/sectors who wish to promote complex collaborations (with us or not), collective leadership, and “transfrontier knowledge-to-action” for implementing climate change-related adaptation measures. PMID:21966228

  20. Combining FMEA with DEMATEL models to solve production process problems

    PubMed Central

    Tsai, Sang-Bing; Zhou, Jie; Gao, Yang; Wang, Jiangtao; Li, Guodong; Zheng, Yuxiang; Ren, Peng; Xu, Wei

    2017-01-01

    Failure mode and effects analysis (FMEA) is an analysis tool for identifying and preventing flaws or defects in products during the design and process planning stage, preventing the repeated occurrence of problems, reducing the effects of these problems, enhancing product quality and reliability, saving costs, and improving competitiveness. However, FMEA can only analyze one influence factor according to its priority, rendering this method ineffective for systems containing multiple FMs whose effects are simultaneous or interact with one another. Accordingly, when FMEA fails to identify the influence factors and the factors being influenced, the most crucial problems may be placed in lower priority or remain unresolved. Decision-Making Trial and Evaluation Laboratory (DEMATEL) facilitates the determination of cause and effect factors; by identifying the causal factors that should be prioritized, prompt and effective solutions to core problems can be derived, thereby enhancing performance. Using the photovoltaic cell manufacturing industry in China as the research target, the present study combined FMEA with DEMATEL to amend the flaws of FMEA and enhance its effectiveness. First, FMEA was used to identify items requiring improvement. Then, DEMATEL was employed to examine the interactive effects and causal relationships of these items. Finally, the solutions to the problems were prioritized. The proposed method effectively combined the advantages of FMEA and DEMATEL to facilitate the identification of core problems and prioritization of solutions in the Chinese photovoltaic cell industry. PMID:28837663

  1. Combining FMEA with DEMATEL models to solve production process problems.

    PubMed

    Tsai, Sang-Bing; Zhou, Jie; Gao, Yang; Wang, Jiangtao; Li, Guodong; Zheng, Yuxiang; Ren, Peng; Xu, Wei

    2017-01-01

    Failure mode and effects analysis (FMEA) is an analysis tool for identifying and preventing flaws or defects in products during the design and process planning stage, preventing the repeated occurrence of problems, reducing the effects of these problems, enhancing product quality and reliability, saving costs, and improving competitiveness. However, FMEA can only analyze one influence factor according to its priority, rendering this method ineffective for systems containing multiple FMs whose effects are simultaneous or interact with one another. Accordingly, when FMEA fails to identify the influence factors and the factors being influenced, the most crucial problems may be placed in lower priority or remain unresolved. Decision-Making Trial and Evaluation Laboratory (DEMATEL) facilitates the determination of cause and effect factors; by identifying the causal factors that should be prioritized, prompt and effective solutions to core problems can be derived, thereby enhancing performance. Using the photovoltaic cell manufacturing industry in China as the research target, the present study combined FMEA with DEMATEL to amend the flaws of FMEA and enhance its effectiveness. First, FMEA was used to identify items requiring improvement. Then, DEMATEL was employed to examine the interactive effects and causal relationships of these items. Finally, the solutions to the problems were prioritized. The proposed method effectively combined the advantages of FMEA and DEMATEL to facilitate the identification of core problems and prioritization of solutions in the Chinese photovoltaic cell industry.

  2. Impact of neonatal risk and temperament on behavioral problems in toddlers born preterm.

    PubMed

    Guilherme Monte Cassiano, Rafaela; Gaspardo, Claudia Maria; Cordaro Bucker Furini, Guilherme; Martinez, Francisco Eulogio; Martins Linhares, Maria Beatriz

    2016-12-01

    Children born preterm are at risk for later developmental disorders. The present study examined the predictive effects of neonatal, sociodemographic, and temperament characteristics on behavioral outcomes at toddlerhood, in children born preterm. The sample included 100 toddlers born preterm and with very-low-birth-weight, and their mothers. Neonatal characteristics were evaluated using medical records. The mothers were interviewed using the Early Childhood Behavior Questionnaire for temperament assessment, and the Child Behavior Checklist for behavioral assessment. Multiple linear regression analyses were performed. Predictors of 39% of the variability of the total behavioral problems in toddlers born prematurely were: temperament with more Negative Affectivity and less Effortful Control, lower family socioeconomic status, and younger mothers at childbirth. Temperament with more Negative Affectivity and less Effortful Control and lower family socioeconomic status were predictors of 23% of the variability of internalizing behavioral problems. Additionally, 37% of the variability of externalizing behavioral problems was explained by temperament with more Negative Affectivity and less Effortful Control, and younger mothers at childbirth. The neonatal characteristics and stressful events in the neonatal intensive care unit did not predict behavioral problems at toddlerhood. However, temperament was a consistent predictor of behavioral problems in toddlers born preterm. Preventive follow-up programs could assess dispositional traits of temperament to provide early identification of preterm infants at high-risk for behavioral problems. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  3. Foster care assessment: A study of the placement decision process in Flanders.

    PubMed

    Vanderfaeillie, Johan; Pijnenburg, Huub; Damen, Harm; Van Holen, Frank

    2015-11-01

    Family foster care placement decision-making has a weak scientific underpinning. Mostly a 'variable-oriented approach' is taken, which requires a lot of information that is not always available. The identification of clusters of foster children with similar characteristics may be a more viable decision strategy. In this study we investigated if foster children could indeed be clustered, which problems were identified at the time of placement, and the influence of placement history. It proved possible to group foster children into two clusters: (1) young children with familial problems and few behavioral problems, and (2) older children with prominent child problems and behavioral problems. For foster children with and without placement history, problems associated with placement proved identical. Considering that a foster care placement did not result in fundamental change in the problems present at time of placement, the importance is stressed of approaching foster care assessment as part of a decision making process which looks back as well as forward. Placement decisions should be based on an appraisal of the appropriateness of foster placement as a solution for the child. In conjunction with this appraisal a decision is required on how parents can be supported toward reunification. Or--if this is not an option--whether long term foster care is the best option for the child and if so, what conditions need to be met. Copyright © 2015 Elsevier Ltd. All rights reserved.

  4. Improving the Flexibility of Optimization-Based Decision Aiding Frameworks for Integrated Water Resource Management

    NASA Astrophysics Data System (ADS)

    Guillaume, J. H.; Kasprzyk, J. R.

    2013-12-01

    Deep uncertainty refers to situations in which stakeholders cannot agree on the full suite of risks for their system or their probabilities. Additionally, systems are often managed for multiple, conflicting objectives such as minimizing cost, maximizing environmental quality, and maximizing hydropower revenues. Many objective analysis (MOA) uses a quantitative model combined with evolutionary optimization to provide a tradeoff set of potential solutions to a planning problem. However, MOA is often performed using a single, fixed problem conceptualization. Focus on development of a single formulation can introduce an "inertia" into the problem solution, such that issues outside the initial formulation are less likely to ever be addressed. This study uses the Iterative Closed Question Methodology (ICQM) to continuously reframe the optimization problem, providing iterative definition and reflection for stakeholders. By using a series of directed questions to look beyond a problem's existing modeling representation, ICQM seeks to provide a working environment within which it is easy to modify the motivating question, assumptions, and model identification in optimization problems. The new approach helps identify and reduce bottle-necks introduced by properties of both the simulation model and optimization approach that reduce flexibility in generation and evaluation of alternatives. It can therefore help introduce new perspectives on the resolution of conflicts between objectives. The Lower Rio Grande Valley portfolio planning problem is used as a case study.

  5. Emotional System for Military Target Identification

    DTIC Science & Technology

    2009-10-01

    algorithm [23], and used it to solve a facial recognition problem. In other works [24,25], we explored the potential of using emotional neural...other application areas, such as security ( facial recognition ) and medical (blood cell identification), can be also efficiently used in military...Application of an emotional neural network to facial recognition . Neural Computing and Applications, 18(4), 309-320. [25] Khashman, A. (2009). Blood cell

  6. The Identification by Teachers of Special Educational Needs in Primary School Pupils and Factors Associated with Referral to Special Education

    ERIC Educational Resources Information Center

    Smeets, Ed; Roeleveld, Jaap

    2016-01-01

    This paper addresses the identification of pupils with special educational needs (SEN) in mainstream primary schools by their teachers. Data were analysed from two consecutive measurement occasions of a large cohort study in the Netherlands. The types and severity of pupils' problems, and their school careers were studied. Around 25% of the pupils…

  7. ESSENCE-Q - a first clinical validation study of a new screening questionnaire for young children with suspected neurodevelopmental problems in south Japan.

    PubMed

    Hatakenaka, Yuhei; Fernell, Elisabeth; Sakaguchi, Masahiko; Ninomiya, Hitoshi; Fukunaga, Ichiro; Gillberg, Christopher

    2016-01-01

    Early identification of autism spectrum disorder, intellectual developmental disorder, attention-deficit/hyperactivity disorder, and other neurodevelopmental disorders/problems is crucial, yet diagnosis is often delayed for years under the often misguided "wait-and-see" paradigm. The early symptomatic syndromes eliciting neurodevelopmental clinical examinations-questionnaire (ESSENCE-Q) is a brief (12-item) screening questionnaire developed specifically for the purpose of speeding up the identification process of a wide variety of neurodevelopmental problems. The aims were to 1) estimate the reliability of the ESSENCE-Q, 2) evaluate the clinical cutoff levels suggested by the author of the ESSENCE-Q, and 3) propose optimal cutoff levels based on receiver operating characteristic analysis. The ESSENCE-Q was used for 1 year by a psychiatrist in Kochi, Japan, assessing children under the age of 6 years referred for developmental problems. The children were also clinically assessed with regard to whether or not they met criteria for a developmental disorder (diagnosis positive and diagnosis negative groups). We contrasted the results of the ESSENCE-Q and those of clinical diagnostic assessments in 130 cases. Cronbach's alpha was 0.82, sensitivity was 0.94 (95% confidence interval [CI]: [0.88, 0.98]), and specificity 0.53 (95% CI: [0.28, 0.77]), which are reasonable psychometrics for a first-step screening tool. Based on receiver operating characteristic analysis, we recommended an optimal cutoff level of yes ≥2 or maybe/a little ≥3 on the ESSENCE-Q (0.87 (95% CI: [0.79, 0.92]) sensitivity and 0.77 (95% CI: [0.50, 0.93]) specificity). The ESSENCE-Q can be a good instrument for use as a screening tool for aiding in the process of early identification of neurodevelopmental disorders in clinical settings. To establish the broader validity and reliability of the ESSENCE-Q, case-control studies and general population studies of children in different age groups are needed.

  8. A HUPO test sample study reveals common problems in mass spectrometry-based proteomics

    PubMed Central

    Bell, Alexander W.; Deutsch, Eric W.; Au, Catherine E.; Kearney, Robert E.; Beavis, Ron; Sechi, Salvatore; Nilsson, Tommy; Bergeron, John J.M.

    2009-01-01

    We carried out a test sample study to try to identify errors leading to irreproducibility, including incompleteness of peptide sampling, in LC-MS-based proteomics. We distributed a test sample consisting of an equimolar mix of 20 highly purified recombinant human proteins, to 27 laboratories for identification. Each protein contained one or more unique tryptic peptides of 1250 Da to also test for ion selection and sampling in the mass spectrometer. Of the 27 labs, initially only 7 labs reported all 20 proteins correctly, and only 1 lab reported all the tryptic peptides of 1250 Da. Nevertheless, a subsequent centralized analysis of the raw data revealed that all 20 proteins and most of the 1250 Da peptides had in fact been detected by all 27 labs. The centralized analysis allowed us to determine sources of problems encountered in the study, which include missed identifications (false negatives), environmental contamination, database matching, and curation of protein identifications. Improved search engines and databases are likely to increase the fidelity of mass spectrometry-based proteomics. PMID:19448641

  9. Signal Prediction With Input Identification

    NASA Technical Reports Server (NTRS)

    Juang, Jer-Nan; Chen, Ya-Chin

    1999-01-01

    A novel coding technique is presented for signal prediction with applications including speech coding, system identification, and estimation of input excitation. The approach is based on the blind equalization method for speech signal processing in conjunction with the geometric subspace projection theory to formulate the basic prediction equation. The speech-coding problem is often divided into two parts, a linear prediction model and excitation input. The parameter coefficients of the linear predictor and the input excitation are solved simultaneously and recursively by a conventional recursive least-squares algorithm. The excitation input is computed by coding all possible outcomes into a binary codebook. The coefficients of the linear predictor and excitation, and the index of the codebook can then be used to represent the signal. In addition, a variable-frame concept is proposed to block the same excitation signal in sequence in order to reduce the storage size and increase the transmission rate. The results of this work can be easily extended to the problem of disturbance identification. The basic principles are outlined in this report and differences from other existing methods are discussed. Simulations are included to demonstrate the proposed method.

  10. Study on road sign recognition in LabVIEW

    NASA Astrophysics Data System (ADS)

    Panoiu, M.; Rat, C. L.; Panoiu, C.

    2016-02-01

    Road and traffic sign identification is a field of study that can be used to aid the development of in-car advisory systems. It uses computer vision and artificial intelligence to extract the road signs from outdoor images acquired by a camera in uncontrolled lighting conditions where they may be occluded by other objects, or may suffer from problems such as color fading, disorientation, variations in shape and size, etc. An automatic means of identifying traffic signs, in these conditions, can make a significant contribution to develop an Intelligent Transport Systems (ITS) that continuously monitors the driver, the vehicle, and the road. Road and traffic signs are characterized by a number of features which make them recognizable from the environment. Road signs are located in standard positions and have standard shapes, standard colors, and known pictograms. These characteristics make them suitable for image identification. Traffic sign identification covers two problems: traffic sign detection and traffic sign recognition. Traffic sign detection is meant for the accurate localization of traffic signs in the image space, while traffic sign recognition handles the labeling of such detections into specific traffic sign types or subcategories [1].

  11. [Executive functions and stressful characteristics of children with attention-deficit hyperactivity disorder: influence on behavioral problems during adolescence].

    PubMed

    Colomer-Diago, Carla; Miranda-Casas, Ana; Herdoiza-Arroyo, Paulina; Presentación-Herrero, M Jesús

    2012-02-29

    The identification of possible factors that are influencing the course of attention-deficit hyperactivity disorder (ADHD) will allow the development of more effective early intervention strategies. AIMS. This research, which used a longitudinal and correlational design, set out to examine the temporal consistency of the primary symptoms and ADHD associated problems. In addition, the relationships and predictive power of working memory, inhibition and stressful characteristics of children with ADHD on the disorder symptoms and behavioral problems in adolescence was analyzed. This study included 65 families with children diagnosed with ADHD. In phase 1 children performed verbal working memory, visuo-spatial and inhibition tests, and information from parents about stressful characteristics of children was collected. In phase 1 and in the follow-up phase, which took place three years later, parents and teachers reported on the primary symptoms of ADHD and behavioral problems. Inattention symptoms as well as most behavioral problems were stable over time, while hyperactivity/impulsivity symptoms decreased. Moreover, neither working memory nor inhibition showed power to predict the central manifestations of ADHD or behavioral problems, while stressful characteristics of demandingness, low adaptability and negative mood had a moderate predictive capacity. These results confirm the role of stressful child characteristics as a risk factor in the course of ADHD.

  12. Introduction to bioinformatics.

    PubMed

    Can, Tolga

    2014-01-01

    Bioinformatics is an interdisciplinary field mainly involving molecular biology and genetics, computer science, mathematics, and statistics. Data intensive, large-scale biological problems are addressed from a computational point of view. The most common problems are modeling biological processes at the molecular level and making inferences from collected data. A bioinformatics solution usually involves the following steps: Collect statistics from biological data. Build a computational model. Solve a computational modeling problem. Test and evaluate a computational algorithm. This chapter gives a brief introduction to bioinformatics by first providing an introduction to biological terminology and then discussing some classical bioinformatics problems organized by the types of data sources. Sequence analysis is the analysis of DNA and protein sequences for clues regarding function and includes subproblems such as identification of homologs, multiple sequence alignment, searching sequence patterns, and evolutionary analyses. Protein structures are three-dimensional data and the associated problems are structure prediction (secondary and tertiary), analysis of protein structures for clues regarding function, and structural alignment. Gene expression data is usually represented as matrices and analysis of microarray data mostly involves statistics analysis, classification, and clustering approaches. Biological networks such as gene regulatory networks, metabolic pathways, and protein-protein interaction networks are usually modeled as graphs and graph theoretic approaches are used to solve associated problems such as construction and analysis of large-scale networks.

  13. Solutions and debugging for data consistency in multiprocessors with noncoherent caches

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

    Bernstein, D.; Mendelson, B.; Breternitz, M. Jr.

    1995-02-01

    We analyze two important problems that arise in shared-memory multiprocessor systems. The stale data problem involves ensuring that data items in local memory of individual processors are current, independent of writes done by other processors. False sharing occurs when two processors have copies of the same shared data block but update different portions of the block. The false sharing problem involves guaranteeing that subsequent writes are properly combined. In modern architectures these problems are usually solved in hardware, by exploiting mechanisms for hardware controlled cache consistency. This leads to more expensive and nonscalable designs. Therefore, we are concentrating on softwaremore » methods for ensuring cache consistency that would allow for affordable and scalable multiprocessing systems. Unfortunately, providing software control is nontrivial, both for the compiler writer and for the application programmer. For this reason we are developing a debugging environment that will facilitate the development of compiler-based techniques and will help the programmer to tune his or her application using explicit cache management mechanisms. We extend the notion of a race condition for IBM Shared Memory System POWER/4, taking into consideration its noncoherent caches, and propose techniques for detection of false sharing problems. Identification of the stale data problem is discussed as well, and solutions are suggested.« less

  14. A Novel Identification Methodology for the Coordinate Relationship between a 3D Vision System and a Legged Robot

    PubMed Central

    Chai, Xun; Gao, Feng; Pan, Yang; Qi, Chenkun; Xu, Yilin

    2015-01-01

    Coordinate identification between vision systems and robots is quite a challenging issue in the field of intelligent robotic applications, involving steps such as perceiving the immediate environment, building the terrain map and planning the locomotion automatically. It is now well established that current identification methods have non-negligible limitations such as a difficult feature matching, the requirement of external tools and the intervention of multiple people. In this paper, we propose a novel methodology to identify the geometric parameters of 3D vision systems mounted on robots without involving other people or additional equipment. In particular, our method focuses on legged robots which have complex body structures and excellent locomotion ability compared to their wheeled/tracked counterparts. The parameters can be identified only by moving robots on a relatively flat ground. Concretely, an estimation approach is provided to calculate the ground plane. In addition, the relationship between the robot and the ground is modeled. The parameters are obtained by formulating the identification problem as an optimization problem. The methodology is integrated on a legged robot called “Octopus”, which can traverse through rough terrains with high stability after obtaining the identification parameters of its mounted vision system using the proposed method. Diverse experiments in different environments demonstrate our novel method is accurate and robust. PMID:25912350

  15. Eyewitness identification: Bayesian information gain, base-rate effect equivalency curves, and reasonable suspicion.

    PubMed

    Wells, Gary L; Yang, Yueran; Smalarz, Laura

    2015-04-01

    We provide a novel Bayesian treatment of the eyewitness identification problem as it relates to various system variables, such as instruction effects, lineup presentation format, lineup-filler similarity, lineup administrator influence, and show-ups versus lineups. We describe why eyewitness identification is a natural Bayesian problem and how numerous important observations require careful consideration of base rates. Moreover, we argue that the base rate in eyewitness identification should be construed as a system variable (under the control of the justice system). We then use prior-by-posterior curves and information-gain curves to examine data obtained from a large number of published experiments. Next, we show how information-gain curves are moderated by system variables and by witness confidence and we note how information-gain curves reveal that lineups are consistently more proficient at incriminating the guilty than they are at exonerating the innocent. We then introduce a new type of analysis that we developed called base rate effect-equivalency (BREE) curves. BREE curves display how much change in the base rate is required to match the impact of any given system variable. The results indicate that even relatively modest changes to the base rate can have more impact on the reliability of eyewitness identification evidence than do the traditional system variables that have received so much attention in the literature. We note how this Bayesian analysis of eyewitness identification has implications for the question of whether there ought to be a reasonable-suspicion criterion for placing a person into the jeopardy of an identification procedure. (c) 2015 APA, all rights reserved).

  16. Problems of Air Defense - and - Appedicies. Volumes I-III

    DTIC Science & Technology

    1951-08-01

    have tee3.essarily involved sctiutiny of isuch areas as Fleet problems ancd air defense of forward bases, the major emphasisuof the study has been on ...identification procedures, in the period until the first attack, is that taey be pePrf ect to anout one : case in .100,000 in dits ’not_- friend fromn...t oniust dietto its alternaite ai-rporlt. Mn any case , "’ilthin. a sotinterva1 ^4 C t týuv I (a pendimt on the speed of data Process~ig - erh-ns

  17. Lithium-thionyl chloride battery safety

    NASA Technical Reports Server (NTRS)

    Carter, B.; Williams, R.; Tsay, F.; Rodriguez, A.; Frank, H.

    1982-01-01

    Primary lithium cells which use LiAlCl4/SOCl2 electrolyte exhibit high energy density and long life. Currently these cells pose a safety problem since they have been found to vent or explode. This paper summarizes experiments to resolve the safety problem of Li-SOCl2 cells by thermal modeling and identification of possibly hazardous intermediates formed during discharge of these cells. A thermal model and mechanism for the reduction of SOCl2 are presented, as well as a discussion of their application to Li-SOCl2 cell safety.

  18. Space-based infrared sensors of space target imaging effect analysis

    NASA Astrophysics Data System (ADS)

    Dai, Huayu; Zhang, Yasheng; Zhou, Haijun; Zhao, Shuang

    2018-02-01

    Target identification problem is one of the core problem of ballistic missile defense system, infrared imaging simulation is an important means of target detection and recognition. This paper first established the space-based infrared sensors ballistic target imaging model of point source on the planet's atmosphere; then from two aspects of space-based sensors camera parameters and target characteristics simulated atmosphere ballistic target of infrared imaging effect, analyzed the camera line of sight jitter, camera system noise and different imaging effects of wave on the target.

  19. Mine countermeasures (MCM) sensor technology drivers

    NASA Astrophysics Data System (ADS)

    Skinner, David P.

    1995-06-01

    In recent years, MCM has moved to the forefront of the Navy's attention. This paper describes the general problems that drive the technology requirements of classical sea mine countermeasure (MCM) sensors for those working outside of this specialized area. Sensor requirements for MCM are compared with those for antisubmarine warfare. This highlights the unique environmental issues and crucial false target problems. The elimination of false targets, not mine detection, is the principal driver of MCM sensor requirements and places special emphasis on the technologies needed for the sequential operations of detection, classification, and identification.

  20. Laser mass spectrometry of chemical warfare agents using ultrashort laser pulses

    NASA Astrophysics Data System (ADS)

    Weickhardt, C.; Grun, C.; Grotemeyer, J.

    1998-12-01

    Fast relaxation processes in excited molecules such as IC, ISC, and fragmentation are observed in many environmentally and technically relevant substances. They cause severe problems to resonance ionization mass spectrometry because they reduce the ionization yield and lead to mass spectra which do not allow the identification of the compound. By the use of ultrashort laser pulses these problems can be overcome and the advantages of REMPI over conventional ionization techniques in mass spectrometry can be regained. This is demonstrated using soil samples contaminated with a chemical warfare agent.

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