Psychiatry Resident Training in Cultural Competence: An Educator's Toolkit.

PubMed

Corral, Irma; Johnson, Toni L; Shelton, Pheston G; Glass, Oliver

2017-06-01

Resident physicians training in psychiatry in the U.S. are required to master a body of knowledge related to cultural psychiatry; are expected to adopt attitudes that endorse the principles of cultural competence; and finally are expected to acquire specific cultural competence skills that facilitate working effectively with diverse patients. This article first provides an overview of the Accreditation Council for Graduate Medical Education (ACGME) competencies related to cultural competence, as well as the American Academy of Child and Adolescent Psychiatry's (AACAP) recommendations for the cultural competence training of child/adolescent fellows. Next, numerous print and electronic resources that can be used in cultural competence education in psychiatry are reviewed and discussed. Finally, we conclude by providing recommendations for psychiatry residency programs that we culled from model cultural competence curricula.

Management of Teaching Practice in the Preparation of Nigerian Certificate of Education (NCE) Teachers

ERIC Educational Resources Information Center

Asaya, Samuel Adetunji

2010-01-01

If the teacher must be "everything" to the learner as well as be the character-model to society, as it is commonly expected, his training must be such that is not only comprehensive but well articulated. Such training must be based on sound conceptual understanding and reasoning that have been developed within the matrix of practice and…

Psychosocial primary care – what patients expect from their General Practitioners A cross-sectional trial

PubMed Central

Fritzsche, Kurt; Armbruster, Ulrike; Hartmann, Armin; Wirsching, Michael

2002-01-01

Background Psychosocial Primary Care (PPC) is a model of service delivery for patients with mental disorders and psychosocial problems which was established in Germany in 1987. This study was performed as part of the evaluation of a PPC training program. We investigated patients' expectations of the psychosocial treatment offered by GPs trained in PPC. Methods Ten general practitioners trained in PPC were randomly selected. Two hundred and twenty patients were surveyed in the waiting room regarding their expectations concerning psychological treatment. Results Eighty-five per cent of patients could envisage making use of psychosocial treatments. Counselling by the GP was considered most important (65%). Fifty-four per cent of patients indicated that there was sufficient counselling, but further distinctions revealed dissatisfaction with both the extent and content of the counselling. Lack of time was the most frequent reason (53%) cited for insufficient counselling. A willingness to discuss the psychological aspects of illness was exhibited by between 55% (current illness) and 79% of patients. Two-thirds of patients believed that discussing psychological aspects and counselling by the doctor could exert a healing effect or contribute to symptomatic improvement in physical illnesses. Younger patients and patients with experience in psychotherapy expected referral to mental health services. Conclusions Primary care patients desire and accept psychological treatment from their GP. Training in psychosocial competence in primary care should be offered more frequently. PMID:12000687

Assessing the Quality of the Learning Outcome in Vocational Education: The Expero Model

ERIC Educational Resources Information Center

Cervai, Sara; Cian, Luca; Berlanga, Alicia; Borelli, Massimo; Kekale, Tauno

2013-01-01

Purpose: This paper aims to present an innovative model to evaluate the quality of the learning outcome in vocational education and training (VET) considering a wide approach that includes, in particular, stakeholders' expectations and perceptions. Design/methodology/approach: The Expero model was implemented in various kinds of vocational schools…

Towards an internal model in pilot training.

PubMed

Braune, R J; Trollip, S R

1982-10-01

Optimal decision making requires an information seeking behavior which reflects the comprehension of the overall system dynamics. Research in the area of human monitors in man-machine systems supports the notion of an internal model with built-in expectancies. It is doubtful that the current approach to pilot training helps develop this internal model in the most efficient way. But this is crucial since the role of the pilot is changing to a systems' manager and decision maker. An extension of the behavioral framework of pilot training might help to prepare the pilot better for the increasingly complex flight environment. This extension is based on the theoretical model of schema theory, which evolved out of psychological research. The technological advances in aircraft simulators and in-flight performance measurement devices allow investigation of the still-unresolved issues.

Incorporating coping into an expectancy framework for explaining drinking behaviour.

PubMed

Hasking, Penelope A; Oei, Tian P S

2008-01-01

Expectancy Theory has offered much in the way of understanding alcohol use and abuse, and has contributed greatly to prevention and treatment initiatives. However although many cognitive-behavioural treatment approaches are based on expectancy constructs, such as outcome expectancies and self-efficacy, high relapse rates imply that expectancy theory may be too narrow in scope, and that additional variables need to be examined if a comprehensive understanding of drinking behaviour, and better treatment outcomes, are to be achieved. We suggest that the coping strategies an individual employs present one such set of variables that have largely been neglected from an expectancy framework. Although coping skills training is routinely used in prevention and treatment of alcohol problems, coping research has suffered from a poor theoretical framework. In this paper we review the existing research relating expectancies, self-efficacy and coping to drinking behaviour and propose a model which explains both social and dependent drinking, by incorporating coping into an expectancy theory framework. We also outline research and clinical implications of the proposed model.

Initial Implementation Indicators From a Statewide Rollout of SafeCare Within a Child Welfare System

PubMed Central

Whitaker, Daniel J.; Ryan, Kerry A.; Wild, Robert C.; Self-Brown, Shannon; Lutzker, John R.; Shanley, Jenelle R.; Edwards, Anna M.; McFry, Erin A.; Moseley, Colby N.; Hodges, Amanda E.

2013-01-01

There is a strong movement toward implementation of evidence-based practices (EBP) in child welfare systems. The SafeCare parenting model is one of few parent-training models that addresses child neglect, the most common form of maltreatment. Here, the authors describe initial findings from a statewide effort to implement the EBP, SafeCare®, into a state child welfare system. A total of 50 agencies participated in training, with 295 individuals entering training to implement SafeCare. Analyses were conducted to describe the trainee sample, describe initial training and implementation indicators, and to examine correlates of initial training performance and implementation indicators. The quality of SafeCare uptake during training and implementation was high with trainees performing very well on training quizzes and role-plays, and demonstrating high fidelity when implementing SafeCare in the field (performing over 90% of expected behaviors). However, the quantity of implementation was generally low, with relatively few providers (only about 25%) implementing the model following workshop training. There were no significant predictors of training or implementation performance, once corrections for multiple comparisons were applied. The Discussion focuses on challenges to large-scale system-wide implementation of EBP. PMID:22146860

DEVELOPMENT OF AN EMERGENCY NURSING TRAINING CURRICULUM IN GHANA

PubMed Central

Bell, Sue Anne; Oteng, Rockefeller; Redman, Richard; Lapham, Jeremy; Bam, Victoria; Dzomecku, Veronica; Yakubu, Jamila; Tagoe, Nadia; Donkor, Peter

2014-01-01

The formal provision of emergency health care is a developing specialty in many sub-Saharan African countries, including Ghana. While emergency medicine training programs for physicians are on the rise, there are few established training programs for emergency nurses. The results of a unique collaboration are described between a university in the United States, a Ghanaian university and a Ghanaian teaching hospital that has developed an emergency nursing diploma program. The expected outcomes of this training program include: a) an innovative, interdisciplinary, team-based clinical training model b) a unique and low-resource emergency nursing curriculum and c) a comprehensive and sustainable training program to increase in-country retention of nurses. PMID:24631161

Training evaluation final report

NASA Technical Reports Server (NTRS)

Sepulveda, Jose A.

1992-01-01

In the area of management training, 'evaluation' refers both to the specific evaluation instrument used to determine whether a training effort was considered effective, and to the procedures followed to evaluate specific training requests. This report recommends to evaluate new training requests in the same way new procurement or new projects are evaluated. This includes examining training requests from the perspective of KSC goals and objectives, and determining expected ROI of proposed training program (does training result in improved productivity, through savings of time, improved outputs, and/or personnel reduction?). To determine whether a specific training course is effective, a statement of what constitutes 'good performance' is required. The user (NOT the Training Branch) must define what is 'required level of performance'. This 'model' will be the basis for the design and development of an objective, performance-based, training evaluation instrument.

The Impact of Wages on the Probability of Completing an Apprenticeship or Traineeship. NCVER Monograph Series 04/2010

ERIC Educational Resources Information Center

Karmel, Tom; Mlotkowski, Peter

2010-01-01

The primary focus of this research is the impact of wages on the decision not to continue with an apprenticeship or traineeship. The approach taken is to model three wages relevant to apprentices and trainees: the wage during training; the expected wage in alternative employment; and, the expected wage on completion. The results of these models…

Nursing Training in the Brazilian Red Cross in the 1940s: a Foucaultian approach.

PubMed

Mecone, Márcia Cristina da Cruz; Freitas, Genival Fernandes de; Bonini, Bárbara Barrionuevo

2015-12-01

Objectives To identify and analyze the discursive statements that characterizes the training of human resources in nursing in the 1940s by the Brazilian Red Cross. Method The approach of the documentary sources was through the assumptions of the Historical Method and they were questioned by using the thought of Michel Foucault. Results Historically, a peculiar model, the military teaching model, influenced the training of human resources in nursing, especially in the 1940s. The Brazilian Red Cross was linked to the Ministry of War and its nursing education had an emphasis on moral conduct, discipline, and respect for hierarchy, culminating in the production of nurses' "docile bodies". The attributes expected of nurses constituted the triad in the professional formation identity at that time: dedication, discipline and obedience. Conclusion The military model still reverberates practices in training of nurses in the present, as in the management, care and education in nursing.

The Effect of Online Systems Analysis Training on Aerospace Industry Business Performance: A Qualitative Study

ERIC Educational Resources Information Center

Burk, Erlan

2012-01-01

Aerospace companies needed additional research on technology-based training to verify expectations when enhancing human capital through online systems analysis training. The research for online systems analysis training provided aerospace companies a means to verify expectations for systems analysis technology-based training on business…

U.S. Army Training and Testing Area Carrying Capacity (ATTACC) for Munitions (AFM)

DTIC Science & Technology

2006-11-01

Army Training Support Center USDA United States Department of Agriculture USGS United States Geological Survey USLE Universal Soil Loss Equation...Range condition is a function of climate, soil , and hydrology. The munitions impact, constituent load, and range condition are modeled using AFM...For ArcGIS v2 to attain expected concentrations of munitions constituents and corresponding risk due to exposure through soil - and water-related

Trip-specific training enhances recovery after large postural disturbances for which there is NO expectation.

PubMed

Oludare, Simisola O; Pater, Mackenzie L; Rosenblatt, Noah J; Grabiner, Mark D

2018-03-01

Informed consent usually provides foreknowledge of experimental methods that can potentially increase expectation of stimuli and, therefore, influence the response. We determined the effects of increased expectation and trip-specific training on the recovery response following a treadmill-delivered, trip-specific disturbance. To deliver unexpected disturbances, subjects were deceived during the informed consent process. The primary hypothesis was that the recovery response following an expected postural disturbance would be characterized by trunk kinematics that have been shown to decrease the likelihood of a fall, compared to following an unexpected postural disturbance. We further hypothesized that following an unexpected postural disturbance, the recovery response of the subjects who had completed a trip-specific training protocol would be more biomechanically favorable to recovery compared to those of subjects who had not received the training. Young adults were randomized into Untrained or Trained groups. During the informed consent process, the purpose of the study was explained to subjects in both groups as being to determine the effect of trip-specific training on postural sway while performing an attention-demanding task. Untrained subjects completed two trials during which they minimized their postural sway. During the second trial, an unexpected disturbance was delivered while they performed the attention-demanding task. Trained subjects performed a pre-training postural sway trial, followed by the delivery of a series of expected, training disturbances. Finally, an unexpected disturbance was delivered while they minimized postural sway and performed the attention-demanding task. Expectation significantly improved trunk kinematics (p < .05). In addition, participation in the trip-specific training protocol following the unexpected disturbance the trunk kinematics of the Trained subjects were more biomechanically favorable to recovery than those of the Untrained subjects (p < .01). Improved trunk kinematics following trip-specific training may be independent of the extent to which the disturbance is expected. Copyright © 2018 Elsevier B.V. All rights reserved.

Development of an emergency nursing training curriculum in Ghana.

PubMed

Bell, Sue Anne; Oteng, Rockefeller; Redman, Richard; Lapham, Jeremy; Bam, Victoria; Dzomecku, Veronica; Yakubu, Jamila; Tagoe, Nadia; Donkor, Peter

2014-10-01

The formal provision of emergency health care is a developing specialty in many sub-Saharan African countries, including Ghana. While emergency medicine training programs for physicians are on the rise, there are few established training programs for emergency nurses. The results of a unique collaboration are described between a university in the United States, a Ghanaian university and a Ghanaian teaching hospital that has developed an emergency nursing diploma program. The expected outcomes of this training program include: (a) an innovative, interdisciplinary, team-based clinical training model, (b) a unique and low-resource emergency nursing curriculum and (c) a comprehensive and sustainable training program to increase in-country retention of nurses. Copyright © 2014 Elsevier Ltd. All rights reserved.

Musical training shapes neural responses to melodic and prosodic expectation.

PubMed

Zioga, Ioanna; Di Bernardi Luft, Caroline; Bhattacharya, Joydeep

2016-11-01

Current research on music processing and syntax or semantics in language suggests that music and language share partially overlapping neural resources. Pitch also constitutes a common denominator, forming melody in music and prosody in language. Further, pitch perception is modulated by musical training. The present study investigated how music and language interact on pitch dimension and whether musical training plays a role in this interaction. For this purpose, we used melodies ending on an expected or unexpected note (melodic expectancy being estimated by a computational model) paired with prosodic utterances which were either expected (statements with falling pitch) or relatively unexpected (questions with rising pitch). Participants' (22 musicians, 20 nonmusicians) ERPs and behavioural responses in a statement/question discrimination task were recorded. Participants were faster for simultaneous expectancy violations in the melodic and linguistic stimuli. Further, musicians performed better than nonmusicians, which may be related to their increased pitch tracking ability. At the neural level, prosodic violations elicited a front-central positive ERP around 150ms after the onset of the last word/note, while musicians presented reduced P600 in response to strong incongruities (questions on low-probability notes). Critically, musicians' P800 amplitudes were proportional to their level of musical training, suggesting that expertise might shape the pitch processing of language. The beneficial aspect of expertise could be attributed to its strengthening effect of general executive functions. These findings offer novel contributions to our understanding of shared higher-order mechanisms between music and language processing on pitch dimension, and further demonstrate a potential modulation by musical expertise. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Self-Efficacy and Outcome Expectancy in Beginning Weight Training Class: Their Relations to Students' Behavioral Intention and Actual Behavior

ERIC Educational Resources Information Center

Gao, Zan; Xiang, Ping; Lee, Amelia M.; Harrison, Louis, Jr.

2008-01-01

This study was an initial attempt to investigate the relationships among self-efficacy, outcome expectancy, behavioral intention, and actual behavior over time in a beginning weight training class. A total of 109 participants completed questionnaires assessing their self-efficacy, outcome expectancy, and intentions for future weight training.…

Training Strategies to Mitigate Expectancy-Induced Response Bias in Combat Identification: A Research Agenda

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

Greitzer, Frank L.; Andrews, Dee H.

Historical assessments of combat fratricide reveal principal contributing factors in the effects of stress, continuous operations or sleep deprivation, poor situational awareness, emotions, and lack of training. This paper discusses what and how improvements in combat identification (CID) may be achieved through training. In addition to skill-based training, CID training must focus on countering the negative effects of expectancy in the face of heightened anxiety and stressors of continuous operations that lead to combat errors or fratricide. The paper examines possible approaches to training for overcoming erroneous expectancies and emotional factors that may distort or limit accurate "blue force" identification.

Training Strategies to Mitigate Expectancy-Induced Response Bias in Combat Identification: A Research Agenda

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

Greitzer, Frank L.; Andrews, Dee H.

2008-04-15

Historical assessments of combat fratricide reveal principal contributing factors in the effects of stress, continuous operations or sleep deprivation, poor situational awareness, emotions, and lack of training. This paper discusses what and how improvements in combat identification (CID) may be achieved through training. In addition to skill-based training, CID training must focus on countering the negative effects of expectancy in the face of heightened anxiety and stressors of continuous operations that lead to combat errors or fratricide. The paper examines possible approaches to training for overcoming erroneous expectancies and emotional factors that may distort or limit accurate "blue force" identification.

Estimation of parameters in Shot-Noise-Driven Doubly Stochastic Poisson processes using the EM algorithm--modeling of pre- and postsynaptic spike trains.

PubMed

Mino, H

2007-01-01

To estimate the parameters, the impulse response (IR) functions of some linear time-invariant systems generating intensity processes, in Shot-Noise-Driven Doubly Stochastic Poisson Process (SND-DSPP) in which multivariate presynaptic spike trains and postsynaptic spike trains can be assumed to be modeled by the SND-DSPPs. An explicit formula for estimating the IR functions from observations of multivariate input processes of the linear systems and the corresponding counting process (output process) is derived utilizing the expectation maximization (EM) algorithm. The validity of the estimation formula was verified through Monte Carlo simulations in which two presynaptic spike trains and one postsynaptic spike train were assumed to be observable. The IR functions estimated on the basis of the proposed identification method were close to the true IR functions. The proposed method will play an important role in identifying the input-output relationship of pre- and postsynaptic neural spike trains in practical situations.

Expected for acquisition movement exercise is more effective for functional recovery than simple exercise in a rat model of hemiplegia.

PubMed

Ikeda, Satoshi; Ohwatashi, Akihiko; Harada, Katsuhiro; Kamikawa, Yurie; Yoshida, Akira

2013-01-01

The use of novel rehabilitative approaches for effecting functional recovery following stroke is controversial. Effects of different but effective rehabilitative interventions in the hemiplegic patient are not clear. We studied the effects of different rehabilitative approaches on functional recovery in the rat photochecmical cerebral infarction model. Twenty-four male Wistar rats aged 8 weeks were used. The cranial bone was exposed under deep anesthesia. Rose bengal (20 mg/kg) was injected intravenously, and the sensorimotor area of the cerebral cortex was irradiated transcranially for 20 min with a light beam of 533-nm wavelength. Animals were divided into 3 groups. In the simple-exercise group, treadmill exercise was performed for 20 min every day. In the expected for acquisition movement-training group, beam-walking exercise was done for 20 min daily. The control group was left to recover without additional intervention. Hindlimb function was evaluated with the beam-walking test. Following cerebral infarction, dysfunction of the contralateral extremities was observed. Functional recovery was observed earlier in the expected for acquisition training group than in the other groups. Although rats in the treadmill group recovered more quickly than controls, the beam-walking group had the shortest overall recovery time. Exercise facilitated functional recovery in the rat hemiplegic model, and expected for acquisition exercise was more effective than simple exercise. These findings are considered to have important implications for the future development of clinical rehabilitation programs.

Overcoming parochialism: interdisciplinary training of the generalist team.

PubMed

Benson, J A

1997-01-01

The work force that will staff most health care systems of the future will include a complex array of professionals working together in teams. The traditional inpatient model of patient care has been only multidisciplinary--nurses, medical social workers, dietitians, pharmacists, and physicians, all interested in each patient, but with divided responsibilities, training formats, and faculties--whereas interdisciplinary teams openly share decision making, expectations for care, goals for the team, and mutual respect.

Do you believe in brain training? A questionnaire about expectations of computerised cognitive training.

PubMed

Rabipour, Sheida; Davidson, Patrick S R

2015-12-15

"Brain training" (i.e., enhancing, rehabilitating, or simply maintaining cognitive function through deliberate cognitive exercise) is growing rapidly in popularity, yet remains highly controversial. Among the greatest problems in current research is the lack of a measure of participants' expectations, which can influence the degree to which they improve over training (i.e., the placebo effect). Here we created a questionnaire to measure the perceived effectiveness of brain-training software. Given the growth in advertising of these programmes, we sought to determine whether even a brief positive (or negative) message about brain training would increase (or decrease) the reported optimism of participants. We measured participants' expectations at baseline, and then following exposure to separate, brief messages that such programmes have either high or low effectiveness. Based on the knowledge they have gleaned from advertising and other real-world sources, people are relatively optimistic about brain training. However, brief messages can influence reported expectations about brain-training results: Reading a brief positive message can increase reported optimism, whereas reading a brief negative message can decrease it. Older adults appear more optimistic about brain training than young adults, especially when they report being knowledgeable about brain training and computers. These data indicate that perceptions of brain training are malleable to at least some extent, and may vary depending on age and other factors. Our questionnaire can serve as a simple, easily-incorporated tool to assess the face validity of brain training interventions and to create a covariate to account for expectations in statistical analyses. Copyright © 2015 Elsevier B.V. All rights reserved.

Covert Modeling vs. Behavior Rehearsal in the Training and Generalization of Assertive Behaviors: A Crossover Design.

ERIC Educational Resources Information Center

Zielinski, Joseph J.; Williams, Leslie J.

1979-01-01

Twenty-four underassertive adults were randomly assigned to two treatment orders that included covert modeling and behavior rehearsal. No measurable difference in treatments was found, but participants preferred and had greater expectations of behavior rehearsal. Skill generalization to untrained situations occurred on 8 of 11 behavioral measures.…

Designing laboratory activities in elementary school oriented to scientific approach for teachers SD-Kreatif Bojonegoro

NASA Astrophysics Data System (ADS)

Dwikoranto; Surasmi, W. A.; Suparto, A.; Tresnaningsih, S.; Sambada, D.; Setyowati, T.; Faqih, A.; Setiani, R.

2018-03-01

Important science lessons are introduced to elementary school students through inquiry. This training is important to do because one key determinant of succesful laboratory activities is teachers. This course aims to enable teachers to design an inquiry-based Laboratory Activity and be able to apply it in the classroom. The training was conducted at SD-Kreatif Bojonegoro by Modeling, Design Laboratory activities and Implementing. The results of Laboratory Activities designed to trace the seven aspects that can support the development of inquiry skills in either category. The teacher's response in this activity is positive. The conclusion of this training can improve the ability of teachers in designing and implementing laboratory activities of Science and then expected to positively affect the frequency of science laboratory activities. Usually teachers use learning by using this Laboratory Activity, it will be affected on the pattern of inquiry behavior to the students as well so that will achieve the expected goals. Teachers are expected to continue for other topics, even for other similarly characterized subjects. This habitation is important so that the teacher's skill in making Laboratory Activity continues to be well honed and useful for the students.

Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks

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

Kumar, Jitendra; Brooks, Bjørn-Gustaf J.; Thornton, Peter E

2012-01-01

A new open source neural network temporal downscaling model is described and tested using CRU-NCEP reanal ysis and CCSM3 climate model output. We downscaled multiple meteorological variables in tandem from monthly to sub-daily time steps while also retaining consistent correlations between variables. We found that our feed forward, error backpropagation approach produced synthetic 6 hourly meteorology with biases no greater than 0.6% across all variables and variance that was accurate within 1% for all variables except atmospheric pressure, wind speed, and precipitation. Correlations between downscaled output and the expected (original) monthly means exceeded 0.99 for all variables, which indicates thatmore » this approach would work well for generating atmospheric forcing data consistent with mass and energy conserved GCM output. Our neural network approach performed well for variables that had correlations to other variables of about 0.3 and better and its skill was increased by downscaling multiple correlated variables together. Poor replication of precipitation intensity however required further post-processing in order to obtain the expected probability distribution. The concurrence of precipitation events with expected changes in sub ordinate variables (e.g., less incident shortwave radiation during precipitation events) were nearly as consistent in the downscaled data as in the training data with probabilities that differed by no more than 6%. Our downscaling approach requires training data at the target time step and relies on a weak assumption that climate variability in the extrapolated data is similar to variability in the training data.« less

Improving the Accuracy and Training Speed of Motor Imagery Brain-Computer Interfaces Using Wavelet-Based Combined Feature Vectors and Gaussian Mixture Model-Supervectors.

PubMed

Lee, David; Park, Sang-Hoon; Lee, Sang-Goog

2017-10-07

In this paper, we propose a set of wavelet-based combined feature vectors and a Gaussian mixture model (GMM)-supervector to enhance training speed and classification accuracy in motor imagery brain-computer interfaces. The proposed method is configured as follows: first, wavelet transforms are applied to extract the feature vectors for identification of motor imagery electroencephalography (EEG) and principal component analyses are used to reduce the dimensionality of the feature vectors and linearly combine them. Subsequently, the GMM universal background model is trained by the expectation-maximization (EM) algorithm to purify the training data and reduce its size. Finally, a purified and reduced GMM-supervector is used to train the support vector machine classifier. The performance of the proposed method was evaluated for three different motor imagery datasets in terms of accuracy, kappa, mutual information, and computation time, and compared with the state-of-the-art algorithms. The results from the study indicate that the proposed method achieves high accuracy with a small amount of training data compared with the state-of-the-art algorithms in motor imagery EEG classification.

Goal Translation: How To Create a Results-Focused Organizational Culture.

ERIC Educational Resources Information Center

Mourier, Pierre

2000-01-01

Presents a model for changing human and organizational behavior. Highlights include behavioral dynamics; expectations; alignment; organizational structure; organizational culture; individual skills and training; leadership; management systems; developing corporate-level goals; communicating goals to the organization; and developing employee goals.…

Oncology Advanced Practitioners Bring Advanced Community Oncology Care.

PubMed

Vogel, Wendy H

2016-01-01

Oncology care is becoming increasingly complex. The interprofessional team concept of care is necessary to meet projected oncology professional shortages, as well as to provide superior oncology care. The oncology advanced practitioner (AP) is a licensed health care professional who has completed advanced training in nursing or pharmacy or has completed training as a physician assistant. Oncology APs increase practice productivity and efficiency. Proven to be cost effective, APs may perform varied roles in an oncology practice. Integrating an AP into an oncology practice requires forethought given to the type of collaborative model desired, role expectations, scheduling, training, and mentoring.

Agency Problems and Airport Security: Quantitative and Qualitative Evidence on the Impact of Security Training.

PubMed

de Gramatica, Martina; Massacci, Fabio; Shim, Woohyun; Turhan, Uğur; Williams, Julian

2017-02-01

We analyze the issue of agency costs in aviation security by combining results from a quantitative economic model with a qualitative study based on semi-structured interviews. Our model extends previous principal-agent models by combining the traditional fixed and varying monetary responses to physical and cognitive effort with nonmonetary welfare and potentially transferable value of employees' own human capital. To provide empirical evidence for the tradeoffs identified in the quantitative model, we have undertaken an extensive interview process with regulators, airport managers, security personnel, and those tasked with training security personnel from an airport operating in a relatively high-risk state, Turkey. Our results indicate that the effectiveness of additional training depends on the mix of "transferable skills" and "emotional" buy-in of the security agents. Principals need to identify on which side of a critical tipping point their agents are to ensure that additional training, with attached expectations of the burden of work, aligns the incentives of employees with the principals' own objectives. © 2016 Society for Risk Analysis.

Training Implicit Social Anxiety Associations: An Experimental Intervention

PubMed Central

Clerkin, Elise M.; Teachman, Bethany A.

2010-01-01

The current study investigates an experimental anxiety reduction intervention among a highly socially anxious sample (N=108; n=36 per Condition; 80 women). Using a conditioning paradigm, our goal was to modify implicit social anxiety associations to directly test the premise from cognitive models that biased cognitive processing may be causally related to anxious responding. Participants were trained to preferentially process non-threatening information through repeated pairings of self-relevant stimuli and faces indicating positive social feedback. As expected, participants in this positive training condition (relative to our two control conditions) displayed less negative implicit associations following training, and were more likely to complete an impromptu speech (though they did not report less anxiety during the speech). These findings offer partial support for cognitive models and indicate that implicit associations are not only correlated with social anxiety, they may be causally related to anxiety reduction as well. PMID:20102788

Training implicit social anxiety associations: an experimental intervention.

PubMed

Clerkin, Elise M; Teachman, Bethany A

2010-04-01

The current study investigates an experimental anxiety reduction intervention among a highly socially anxious sample (N=108; n=36 per Condition; 80 women). Using a conditioning paradigm, our goal was to modify implicit social anxiety associations to directly test the premise from cognitive models that biased cognitive processing may be causally related to anxious responding. Participants were trained to preferentially process non-threatening information through repeated pairings of self-relevant stimuli and faces indicating positive social feedback. As expected, participants in this positive training condition (relative to our two control conditions) displayed less negative implicit associations following training, and were more likely to complete an impromptu speech (though they did not report less anxiety during the speech). These findings offer partial support for cognitive models and indicate that implicit associations are not only correlated with social anxiety, they may be causally related to anxiety reduction as well. (c) 2010 Elsevier Ltd. All rights reserved.

Pilot Study to Evaluate Hearing Aid Service Delivery Model and Measure Benefit Using Self-Report Outcome Measures Using Community Hearing Workers in a Developing Country

PubMed Central

Emerson, Lingamdenne Paul; Job, Anand; Abraham, Vinod

2013-01-01

Hearing loss is a major handicap in developing countries with paucity of trained audiologists and limited resources. In this pilot study trained community health workers were used to provide comprehensive hearing aid services in the community. One hundred and eleven patients were fitted with semi-digital hearing aid and were evaluated over a period of six months. They were assessed using self-report outcome measure APHAB. Results show that trained CHWs are effective in detecting disabling hearing loss and in providing HAs. APHAB can identify and pick up significant improvements in communication in daily activities and provides a realistic expectation of the benefits of a hearing aid. The model of using trained CHWs to provide rehabilitative services in audiology along with self-report outcome measures can be replicated in other developing countries. PMID:23724277

Modeling for Visual Feature Extraction Using Spiking Neural Networks

NASA Astrophysics Data System (ADS)

Kimura, Ichiro; Kuroe, Yasuaki; Kotera, Hiromichi; Murata, Tomoya

This paper develops models for “visual feature extraction” in biological systems by using “spiking neural network (SNN)”. The SNN is promising for developing the models because the information is encoded and processed by spike trains similar to biological neural networks. Two architectures of SNN are proposed for modeling the directionally selective and the motion parallax cell in neuro-sensory systems and they are trained so as to possess actual biological responses of each cell. To validate the developed models, their representation ability is investigated and their visual feature extraction mechanisms are discussed from the neurophysiological viewpoint. It is expected that this study can be the first step to developing a sensor system similar to the biological systems and also a complementary approach to investigating the function of the brain.

Integration Models for Indigenous Public Health Curricula

ERIC Educational Resources Information Center

Coombe, Leanne; Lee, Vanessa; Robinson, Priscilla

2017-01-01

All graduates of Master of Public Health (MPH) programmes in Australia are expected to achieve a core set of Indigenous public health competencies designed to train "judgement safe practitioners". A curriculum framework document was developed alongside the competencies to assist programme providers to integrate appropriate Indigenous…

Effect of mindfulness meditation on brain-computer interface performance.

PubMed

Tan, Lee-Fan; Dienes, Zoltan; Jansari, Ashok; Goh, Sing-Yau

2014-01-01

Electroencephalogram based brain-computer interfaces (BCIs) enable stroke and motor neuron disease patients to communicate and control devices. Mindfulness meditation has been claimed to enhance metacognitive regulation. The current study explores whether mindfulness meditation training can thus improve the performance of BCI users. To eliminate the possibility of expectation of improvement influencing the results, we introduced a music training condition. A norming study found that both meditation and music interventions elicited clear expectations for improvement on the BCI task, with the strength of expectation being closely matched. In the main 12 week intervention study, seventy-six healthy volunteers were randomly assigned to three groups: a meditation training group; a music training group; and a no treatment control group. The mindfulness meditation training group obtained a significantly higher BCI accuracy compared to both the music training and no-treatment control groups after the intervention, indicating effects of meditation above and beyond expectancy effects. Copyright © 2013 Elsevier Inc. All rights reserved.

Improving the Quality of Postgraduate Education in Traditional Japanese Kampo Medicine for Junior Residents: An Exploratory Survey Conducted in Five Institutions in the Tohoku Area.

PubMed

Takayama, Shin; Kobayashi, Seiichi; Kaneko, Soichiro; Tabata, Masao; Sato, Shinya; Ishikawa, Keiichi; Suzuki, Saya; Arita, Ryutaro; Saito, Natsumi; Kamiya, Tetsuharu; Nishikawa, Hitoshi; Ikeno, Yuka; Tanaka, Junichi; Ohsawa, Minoru; Kikuchi, Akiko; Numata, Takehiro; Kuroda, Hitoshi; Abe, Michiaki; Ishibashi, Satoru; Yaegashi, Nobuo; Ishii, Tadashi

2016-11-01

Traditional Japanese (Kampo) medicine has been widely applied in general medicine in Japan. In 2001, the model core curriculum for Japanese medical education was revised to include Kampo medicine. Since 2007, all 80 Japanese medical schools have incorporated it within their programs. However, postgraduate training or instruction of Kampo medicine has not been recognized as a goal for the clinical training of junior residents by Japan's Ministry of Health, Labour and Welfare; little is known about postgraduate Kampo medicine education. This exploratory study investigated attitudes about Kampo medicine among junior residents in Japanese postgraduate training programs. A questionnaire survey was administered to junior residents at five institutions in the Tohoku area of Japan. Questions evaluated residents' experiences of prescribing Kampo medicines and their expectations for postgraduate Kampo education and training. As a result, 121 residents responded (response rate = 74%). About 96% of participants had previously received Kampo medicine education at their pre-graduate medical schools and 64% had prescribed Kampo medications. Specifically, daikenchuto was prescribed to prevent ileus and constipation after abdominal surgery and yokukansan was prescribed to treat delirium in the elderly. Residents received on-the-job instruction by attending doctors. Over 70% of participants indicated that there was a need for postgraduate Kampo medicine education opportunities and expected lectures and instruction on how to use it to treat common diseases. In conclusion, we have revealed that junior residents require Kampo medicine education in Japanese postgraduate training programs. The programs for comprehensive pre-graduate and postgraduate Kampo education are expected.

Research for Future Training Modeling and Simulation Strategies

DTIC Science & Technology

2011-09-01

it developed an “ecosystem” for the content industry—first for iTunes and now in the iPad for publishers and gamers. The iTunes Store that Apple...launched in 2003 provides an excellent analogy to training users. Initially, users could purchase 200,000 iTunes items. Today, the store has over...its iPod and iTune Store has fundamentally changed the music industry and the way the end users expect to buy things. iPod owners used to buy albums

Basic life support skills training in a first year medical curriculum: six years' experience with two cognitive-constructivist designs.

PubMed

Durak, Halil Ibrahim; Certuğ, Agah; Calişkan, Ayhan; van Dalen, Jan

2006-03-01

Although the Basic Life Support (BLS) ability of a medical student is a crucial competence, poor BLS training programs have been documented worldwide. Better training designs are needed. This study aims to share detailed descriptions and the test results of two cognitive-constructivist training models for the BLS skills in the first year of medical curriculum. A BLS skills training module was implemented in the first year curriculum in the course of 6 years (1997-2003). The content was derived from the European Resuscitation Council Guidelines. Initially, a competence-based model was used and was upgraded to a cognitive apprenticeship model in 2000. The main performance-content type that was expected at the end of the course was: competent application of BLS procedures on manikins and peers at an OSCE as well as 60% achievement in a test consisting of 25 MCQ items. A retrospective cohort survey design using exam results and a self-completed anonymous student ratings' questionnaire were used in order to test models. Training time for individual students varied from 21 to 29 hours. One thousand seven hundred and sixty students were trained. Fail rates were very low (1.0-2.2%). The students were highly satisfied with the module during the 6 years. In the first year of the medical curriculum, a competence-based or cognitive apprenticeship model using cognitive-constructivist designs of skills training with 9 hours theoretical and 12-20 hours long practical sessions took place in groups of 12-17 students; medical students reached a degree of competence to sufficiently perform BLS skills on the manikins and their peers. The cognitive-constructivist designs for skills training are associated with high student satisfaction. However, the lack of controls limits the extrapolation of this conclusion.

Treatment Expectation for Pain Coping Skills Training: Relationship to Osteoarthritis Patients' Baseline Psychosocial Characteristics

PubMed Central

Broderick, Joan E.; Junghaenel, Doerte U.; Schneider, Stefan; Bruckenthal, Patricia; Keefe, Francis J.

2010-01-01

Objectives This study examined predictors of treatment expectation among osteoarthritis (OA) patients in a multi-site clinical trial of pain coping strategies training (CST). Methods Patients (N=171) completed a pre-treatment assessment battery that asked questions about treatment expectations, pain coping variables, pain, physical function, psychological distress, quality of life, and depression as well as background demographic and medical variables. Results Regression analyses indicated that several variables accounted for 21% of the variance in treatment expectations (p < .0001). Patients who were classified as adaptive copers, reported higher self efficacy and social interaction, had higher quality of life, and who had lower levels of affective distress and depression had more positive expectations about engaging in pain coping skills training. Variables that were not associated with treatment expectation were level of pain and physical dysfunction, duration of disease, and disability status as well as demographic variables. Discussion Thus, while many OA patients will approach pain coping skills training with positive expectations, others have lower expectations. This study suggests that a multidimensional assessment of OA patients with chronic pain can identify those who have higher expectations versus lower expectations. The results suggest that patients who are psychologically distressed are less optimistic about engaging in treatment and that these patients, in particular, may benefit from and need pre-treatment motivational interviewing to enhance their uptake of pain coping skills PMID:21178591

The McPygmalion Effect.

ERIC Educational Resources Information Center

Shimko, Barbara Whitaker

1990-01-01

Project Transition screens, trains, and places welfare recipients in fast food restaurant jobs. Training focuses on employee responsibility for managers' expectations and on behavior that will raise those expectations of new employees. (SK)

The dynamic nature of risk perceptions after a fatal transit accident.

PubMed

Wernstedt, Kris; Murray-Tuite, Pamela

2015-03-01

In 2009, two trains of Washington, DC's Metrorail system collided, resulting in nine deaths and 50 serious injuries. Based on a multiwave survey of Metrorail users in the months after the crash, this article reports how the accident appears to have (1) changed over time the tradeoffs among safety, speed, frequency of service, cost, and reliability that the transit users stated they were willing to make in the postaccident period and (2) altered transit users' concerns about safety as a function of time and distance from the accident site. We employ conditional logit models to examine tradeoffs among stated preferences for system performance measures after the accident, as well as the influence that respondent characteristics of transit use, location, income, age, and gender have on these preference tradeoffs. As expected, respondents appear averse to longer headways between trains, longer travel durations, higher travel costs, a higher number of late trains, and a higher number of fatalities. The models also show evidence of higher aversion to fatalities from transit system operation among females compared to males. In addition, respondents less experienced with Metrorail travel and those with lower household incomes show higher aversion to fatalities, and this aversion increases as a subject's psychological distance from the accident site decreases. Contrary to expectations shaped by previous studies, aversion to fatalities appears to have increased between the early months after the accident and the end of the survey period, and the expected relationship between age and aversion to fatalities is not statistically significant. © 2014 Society for Risk Analysis.

Expectations for Endoscopic Training During Gynaecological Specialty Training - Results of a Germany-wide Survey.

PubMed

Gabriel, L; Solomayer, E; Schott, S; Heesen, A von; Radosa, J; Wallwiener, D; Rimbach, S; Juhasz-Böss, I

2016-12-01

Question: Endoscopy is an integral part of surgical gynaecology and is playing an increasingly important role in ensuring adequate gynaecological training in the context of specialty training in general. At present, little is known about the expectations and notions of young junior doctors with respect to endoscopic training. For this reason, junior doctors throughout Germany were surveyed on this topic and asked to share their opinions. Methods: Using an anonymized standardized survey, the following information was elicited: importance of endoscopic training, willingness to take courses, expectations for instructors and the hospital, ideas about the number of required operations, both as a surgical assistant and as a surgeon, as well as satisfaction with the current status of training. The questionnaires were sent via the Young Forum (Junges Forum) of the German Society of Gynaecology and Obstetrics (DGGG) and the newsletter of the Working Group for Gynaecological Endoscopy (AGE). Results: The evaluation of the study was based on 109 completed questionnaires. The resident junior doctors were 31 years old on average and were in their third to fourth year of their specialty training on average. The majority of the participants (87 %) considered the learning of endoscopic techniques to be very important and advocated regular participation in endoscopy training courses. Among the participants, 48 % were prepared to invest up to €1500 of their own funds to attend courses up to twice a year during the entire specialty training period. The expectations of the instructors and institutions focused on technical expertise, the willingness and time for teaching and on the number and range of surgical procedures, followed by being granted leave for the courses and having costs covered for the courses. Thirty-eight per cent stated that their expectations had been completely or mostly met and 62 % said they had been met in part or inadequately. Eighty-three per cent of the respondents reported that they would change specialty training institutions in order to achieve their own goals in the context of specialty training. Conclusions: This study presents data for the first time on the satisfaction of young junior doctors and their expectations for endoscopic specialty training. The residents exhibited a high level of interest in endoscopy and a high level of willingness to actively shape the specialty training, including course participation. However, there appears to be a great deal of room for improvement for endoscopic specialty training, independent of the current training institution, training year or sex of the junior doctors.

Review of Modelling Techniques for In Vivo Muscle Force Estimation in the Lower Extremities during Strength Training

PubMed Central

Schellenberg, Florian; Oberhofer, Katja; Taylor, William R.

2015-01-01

Background. Knowledge of the musculoskeletal loading conditions during strength training is essential for performance monitoring, injury prevention, rehabilitation, and training design. However, measuring muscle forces during exercise performance as a primary determinant of training efficacy and safety has remained challenging. Methods. In this paper we review existing computational techniques to determine muscle forces in the lower limbs during strength exercises in vivo and discuss their potential for uptake into sports training and rehabilitation. Results. Muscle forces during exercise performance have almost exclusively been analysed using so-called forward dynamics simulations, inverse dynamics techniques, or alternative methods. Musculoskeletal models based on forward dynamics analyses have led to considerable new insights into muscular coordination, strength, and power during dynamic ballistic movement activities, resulting in, for example, improved techniques for optimal performance of the squat jump, while quasi-static inverse dynamics optimisation and EMG-driven modelling have helped to provide an understanding of low-speed exercises. Conclusion. The present review introduces the different computational techniques and outlines their advantages and disadvantages for the informed usage by nonexperts. With sufficient validation and widespread application, muscle force calculations during strength exercises in vivo are expected to provide biomechanically based evidence for clinicians and therapists to evaluate and improve training guidelines. PMID:26417378

Review of Modelling Techniques for In Vivo Muscle Force Estimation in the Lower Extremities during Strength Training.

PubMed

Schellenberg, Florian; Oberhofer, Katja; Taylor, William R; Lorenzetti, Silvio

2015-01-01

Knowledge of the musculoskeletal loading conditions during strength training is essential for performance monitoring, injury prevention, rehabilitation, and training design. However, measuring muscle forces during exercise performance as a primary determinant of training efficacy and safety has remained challenging. In this paper we review existing computational techniques to determine muscle forces in the lower limbs during strength exercises in vivo and discuss their potential for uptake into sports training and rehabilitation. Muscle forces during exercise performance have almost exclusively been analysed using so-called forward dynamics simulations, inverse dynamics techniques, or alternative methods. Musculoskeletal models based on forward dynamics analyses have led to considerable new insights into muscular coordination, strength, and power during dynamic ballistic movement activities, resulting in, for example, improved techniques for optimal performance of the squat jump, while quasi-static inverse dynamics optimisation and EMG-driven modelling have helped to provide an understanding of low-speed exercises. The present review introduces the different computational techniques and outlines their advantages and disadvantages for the informed usage by nonexperts. With sufficient validation and widespread application, muscle force calculations during strength exercises in vivo are expected to provide biomechanically based evidence for clinicians and therapists to evaluate and improve training guidelines.

A Guide to Behavioral Science Elementary Teacher Education Program.

ERIC Educational Resources Information Center

Houston, W. Robert

A key concept of the Michigan State University model is the clinical behavior style of the teachers it produces. Teachers are expected to approach teaching as clinical practice and to stylize a particular set of activities: describing, analyzing, hypothesizing; prescribing, treating, and observing consequences. Training in the clinical approach…

20 CFR 617.23 - Selection of training methods and programs.

Code of Federal Regulations, 2010 CFR

2010-04-01

... §§ 617.24, 617.25, and 617.26, including training for which the firm pays the costs. This ensures that on.... Such occupations and training shall offer a reasonable expectation (not necessarily a prior guarantee... no reasonable expectation of permanent employment. [51 FR 45848, Dec. 22, 1986, as amended at 71 FR...

Disconfirmation of Expectations of Utility in e-Learning

ERIC Educational Resources Information Center

Cacao, Rosario

2013-01-01

Using pre-training and post-training paired surveys in e-learning based training courses, we have compared the "expectations of utility," measured at the beginning of an e-learning course, with the "perceptions of utility," measured at the end of the course, and related it with the trainees' motivation. We have concluded that…

Self-practice and self-reflection in cognitive behaviour therapy training: what factors influence trainees' engagement and experience of benefit?

PubMed

Bennett-Levy, James; Lee, Nicole K

2014-01-01

Previous studies of self-practice/self-reflection (SP/SR) CBT training have found that trainees report significant benefits from practising CBT techniques on themselves (self-practice) and reflecting on their experience (self-reflection) as a formal part of their CBT training. However, not all trainees experience the same level of benefit from SP/SR and not all types of training course produce benefits to the same extent. This paper examines the question: What factors influence trainees' reported benefit from SP/SR? The aim was to develop a model to maximize the value of SP/SR training. The authors used a grounded theory analysis of four SP/SR training courses, varying along several dimensions, to derive a model that could account for the data. A model was derived comprising of seven elements: Two outcomes - "Experience of Benefit" and "Engagement with the Process" - that mutually influence one another; and five other influencing factors - "Course Structure and Requirements", "Expectation of Benefit", "Feeling of Safety with the Process", "Group Process", and "Available Personal Resources" - that mediate the impact on Engagement with the Process and Experience of Benefit from SP/SR. A model that provides guidance about the best ways to set up and develop SP/SR programs has been developed. This model may now be subject to empirical testing by trainers and researchers. Implications and recommendations for the design and development of future SP/SR programs are discussed.

Training of Students’ Critical Thinking Skills through the implementation of a Modified Free Inquiry Model

NASA Astrophysics Data System (ADS)

Hadi, S. A.; Susantini, E.; Agustini, R.

2018-01-01

This research aimed at training students’ critical thinking skills through the implementation of a modified free inquiry learning model. The subjects of this research were 21 students of Mathematics Semester II. Using One-Group Pretest-Posttest Design, the data were analyzed descriptively using N-gain indicator. The results indicate that the modified free inquiry learning model was effective to train students’ critical thinking skills. The increase in the students’ critical thinking skills viewed from the value of N-Gain has a range of values with the categories of medium and high with a score between 0,25-0,95. Overall, the change in N-Gain score of each student and each indicator of critical thinking skills is as increasing with a moderate category. The increase of N-Gain value is resulted from the fact that the students were directly involved in organizing their learning process. These criteria indicate that the modified free inquiry learning model can be used to train students’ critical thinking skills on photosynthesis and cellular respiration materials. The results of this research are expected to be nationally implemented to familiarize students with andragogy learning style which places the students as the subjects of learning.

Effects of railway track design on the expected degradation: Parametric study on energy dissipation

NASA Astrophysics Data System (ADS)

Sadri, Mehran; Steenbergen, Michaël

2018-04-01

This paper studies the effect of railway track design parameters on the expected long-term degradation of track geometry. The study assumes a geometrically perfect and straight track along with spatial invariability, except for the presence of discrete sleepers. A frequency-domain two-layer model is used of a discretely supported rail coupled with a moving unsprung mass. The susceptibility of the track to degradation is objectively quantified by calculating the mechanical energy dissipated in the substructure under a moving train axle for variations of different track parameters. Results show that, apart from the operational train speed, the ballast/substructure stiffness is the most significant parameter influencing energy dissipation. Generally, the degradation increases with the train speed and with softer substructures. However, stiff subgrades appear more sensitive to particular train velocities, in a regime which is mostly relevant for conventional trains (100-200 km/h) and less for high-speed operation, where a stiff subgrade is always favorable and can reduce the sensitivity to degradation substantially, with roughly a factor up to 7. Also railpad stiffness, sleeper distance and rail cross-sectional properties are found to have considerable effect, with higher expected degradation rates for increasing railpad stiffness, increasing sleeper distance and decreasing rail profile bending stiffness. Unsprung vehicle mass and sleeper mass have no significant influence, however, only against the background of the assumption of an idealized (invariant and straight) track. Apart from dissipated mechanical energy, the suitability of the dynamic track stiffness is explored as an engineering parameter to assess the sensitivity to degradation. It is found that this quantity is inappropriate to assess the design of an idealized track.

Residents' perceptions of an integrated longitudinal curriculum: a qualitative study.

PubMed

Lubitz, Rebecca; Lee, Joseph; Hillier, Loretta M

2015-01-01

The purpose of this study was to explore family medicine residents' perceptions of a newly restructured integrated longitudinal curriculum. A purposeful sample of 16 family medicine residents participated in focus group interviews conducted from a grounded theory perspective to identify the characteristics of this training model that contribute to and that challenge learning. Eight key themes were identified: continuity of care, relevance to family medicine, autonomy, program-focused preparation, professional development as facilitated by role modeling, patient volume, clarity of expectations for learners, and logistics. Positive learning experiences were marked by high levels of autonomy, continuity, and relevance to family medicine. Less favorable learning experiences were characterized by limited opportunities for continuity of care, limited relevance to family medicine practice and unclear expectations for the resident's role. Family physician-led learning experiences contributed to residents' understanding of the full scope of family medicine practice, more so than specialist-led experiences. The logistics of implementing the integrated block were challenging and negatively impacted continuity and learning. This study suggests that an integrated longitudinalized family medicine block training model has the potential to support the principles of a longitudinal integrated competency-based curriculum to effectively prepare residents for family medicine practice.

Postgraduate general dentistry residency: a clinical model.

PubMed

Gowan, J

1995-01-01

Dental graduates today are expected to be knowledgeable in many more areas than their predecessors. Changing technology and increased competition require entering the dental profession with more experience and skills. One approach to achieving this skill level is a postgraduate general dentistry residency in a clinical setting during the year following dental school graduation (PGY1). The clinical residency provides new dentists with additional hands-on training and reinforces classroom learning. HealthPartners was selected as a clinical rotation for residents in the advanced general dentistry program at the University of Minnesota Dental School. The program provides dental graduates in PGY1 training in all areas of practice. The HealthPartners rotation is highly unique. It is a staff model HMO with a clinical, multi-specialty setting. Today, HealthPartners--a Minnesota-based healthcare organization--has 116,000 members with prepaid dental benefits. Residents trained in the program develop increased skills in all areas of dental practice. In addition, they develop a good working knowledge in the basic sciences. Methods of instruction include didactic training in the form of seminars, lectures, and clinical training in HealthPartners' dental clinics.

Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction

PubMed Central

Watanabe, Eiji; Kitaoka, Akiyoshi; Sakamoto, Kiwako; Yasugi, Masaki; Tanaka, Kenta

2018-01-01

The cerebral cortex predicts visual motion to adapt human behavior to surrounding objects moving in real time. Although the underlying mechanisms are still unknown, predictive coding is one of the leading theories. Predictive coding assumes that the brain's internal models (which are acquired through learning) predict the visual world at all times and that errors between the prediction and the actual sensory input further refine the internal models. In the past year, deep neural networks based on predictive coding were reported for a video prediction machine called PredNet. If the theory substantially reproduces the visual information processing of the cerebral cortex, then PredNet can be expected to represent the human visual perception of motion. In this study, PredNet was trained with natural scene videos of the self-motion of the viewer, and the motion prediction ability of the obtained computer model was verified using unlearned videos. We found that the computer model accurately predicted the magnitude and direction of motion of a rotating propeller in unlearned videos. Surprisingly, it also represented the rotational motion for illusion images that were not moving physically, much like human visual perception. While the trained network accurately reproduced the direction of illusory rotation, it did not detect motion components in negative control pictures wherein people do not perceive illusory motion. This research supports the exciting idea that the mechanism assumed by the predictive coding theory is one of basis of motion illusion generation. Using sensory illusions as indicators of human perception, deep neural networks are expected to contribute significantly to the development of brain research. PMID:29599739

Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction.

PubMed

Watanabe, Eiji; Kitaoka, Akiyoshi; Sakamoto, Kiwako; Yasugi, Masaki; Tanaka, Kenta

2018-01-01

The cerebral cortex predicts visual motion to adapt human behavior to surrounding objects moving in real time. Although the underlying mechanisms are still unknown, predictive coding is one of the leading theories. Predictive coding assumes that the brain's internal models (which are acquired through learning) predict the visual world at all times and that errors between the prediction and the actual sensory input further refine the internal models. In the past year, deep neural networks based on predictive coding were reported for a video prediction machine called PredNet. If the theory substantially reproduces the visual information processing of the cerebral cortex, then PredNet can be expected to represent the human visual perception of motion. In this study, PredNet was trained with natural scene videos of the self-motion of the viewer, and the motion prediction ability of the obtained computer model was verified using unlearned videos. We found that the computer model accurately predicted the magnitude and direction of motion of a rotating propeller in unlearned videos. Surprisingly, it also represented the rotational motion for illusion images that were not moving physically, much like human visual perception. While the trained network accurately reproduced the direction of illusory rotation, it did not detect motion components in negative control pictures wherein people do not perceive illusory motion. This research supports the exciting idea that the mechanism assumed by the predictive coding theory is one of basis of motion illusion generation. Using sensory illusions as indicators of human perception, deep neural networks are expected to contribute significantly to the development of brain research.

Improved Robustness and Efficiency for Automatic Visual Site Monitoring

DTIC Science & Technology

2009-09-01

the space of expected poses. To avoid having to compare each test window with the whole training corpus, he builds a template hierarchy by...directions of motion. In a second layer of clustering, it also learns how the low-level clusters co-occur with each other. An infinite mix- ture model is used...implementation. We demonstrate the utility of this detector by modeling scene-level activities with a Hierarchical

Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.).

PubMed

Auinger, Hans-Jürgen; Schönleben, Manfred; Lehermeier, Christina; Schmidt, Malthe; Korzun, Viktor; Geiger, Hartwig H; Piepho, Hans-Peter; Gordillo, Andres; Wilde, Peer; Bauer, Eva; Schön, Chris-Carolin

2016-11-01

Genomic prediction accuracy can be significantly increased by model calibration across multiple breeding cycles as long as selection cycles are connected by common ancestors. In hybrid rye breeding, application of genome-based prediction is expected to increase selection gain because of long selection cycles in population improvement and development of hybrid components. Essentially two prediction scenarios arise: (1) prediction of the genetic value of lines from the same breeding cycle in which model training is performed and (2) prediction of lines from subsequent cycles. It is the latter from which a reduction in cycle length and consequently the strongest impact on selection gain is expected. We empirically investigated genome-based prediction of grain yield, plant height and thousand kernel weight within and across four selection cycles of a hybrid rye breeding program. Prediction performance was assessed using genomic and pedigree-based best linear unbiased prediction (GBLUP and PBLUP). A total of 1040 S 2 lines were genotyped with 16 k SNPs and each year testcrosses of 260 S 2 lines were phenotyped in seven or eight locations. The performance gap between GBLUP and PBLUP increased significantly for all traits when model calibration was performed on aggregated data from several cycles. Prediction accuracies obtained from cross-validation were in the order of 0.70 for all traits when data from all cycles (N CS  = 832) were used for model training and exceeded within-cycle accuracies in all cases. As long as selection cycles are connected by a sufficient number of common ancestors and prediction accuracy has not reached a plateau when increasing sample size, aggregating data from several preceding cycles is recommended for predicting genetic values in subsequent cycles despite decreasing relatedness over time.

Training interpretation biases among individuals with symptoms of obsessive compulsive disorder

PubMed Central

Clerkin, Elise M.; Teachman, Bethany A.

2011-01-01

The current study tested the causal premise underlying cognitive models of obsessive compulsive disorder (OCD) that negative interpretations of intrusive thoughts lead to the distress and impairment associated with symptoms of OCD. Specifically, we sought to determine: a) whether it was possible to train healthier (defined as more benign/less threatening) interpretations regarding the significance of intrusive thoughts; and b) whether there was a link between modifying negative interpretations and subsequent emotional vulnerability to an OC stressor. A nonclinical sample of students high in OC symptoms completed either a Positive (n=50) or Neutral (n=50) interpretation training procedure designed to alter OC-relevant interpretations and beliefs. As expected, participants in the Positive (versus Neutral) training condition endorsed healthier OC-relevant interpretations and beliefs following training. Additionally, when controlling for baseline affect, participants in the Positive (versus Neutral) training condition reported less negative affect during the OC stressor task (at the level of a nonsignificant trend) and reported less desire to perform neutralizing activities. In general, results provide some support for cognitive models of obsessions and suggest that negative interpretations of intrusive thoughts may be causally related to symptoms of OCD. PMID:21371415

Training interpretation biases among individuals with symptoms of obsessive compulsive disorder.

PubMed

Clerkin, Elise M; Teachman, Bethany A

2011-09-01

The current study tested the causal premise underlying cognitive models of obsessive compulsive disorder (OCD) that negative interpretations of intrusive thoughts lead to the distress and impairment associated with symptoms of OCD. Specifically, we sought to determine: (a) whether it was possible to train healthier (defined as more benign/less threatening) interpretations regarding the significance of intrusive thoughts; and (b) whether there was a link between modifying negative interpretations and subsequent emotional vulnerability to an OC stressor. A nonclinical sample of students high in OC symptoms completed either a Positive (n = 50) or Neutral (n = 50) interpretation training procedure designed to alter OC-relevant interpretations and beliefs. As expected, participants in the Positive (versus Neutral) training condition endorsed healthier OC-relevant interpretations and beliefs following training. Additionally, when controlling for baseline affect, participants in the Positive (versus Neutral) training condition reported less negative affect during the OC-stressor task (at the level of a non-significant trend) and reported less desire to perform neutralizing activities. In general, results provide some support for cognitive models of obsessions and suggest that negative interpretations of intrusive thoughts may be causally related to symptoms of OCD. Published by Elsevier Ltd.

School of pharmacy-based medication therapy management program: development and initial experience.

PubMed

Lam, Annie; Odegard, Peggy Soule; Gardner, Jacqueline

2012-01-01

To describe a school of pharmacy-community pharmacy collaborative model for medication therapy management (MTM) service and training. University of Washington (UW) School of Pharmacy (Seattle), from July to December 2008. MTM services and training. A campus-based MTM pharmacy was established for teaching, practice, and collaboration with community pharmacies to provide comprehensive medication reviews (CMRs) and MTM training. Number of collaborating pharmacies, number of patients contacted, number of CMRs conducted, and estimated cost avoidance (ECA). UW Pharmacy Cares was licensed as a Class A pharmacy (nondispensing) and signed "business associate" agreements with six community pharmacies. During July to December 2008, 10 faculty pharmacists completed training and 5 provided CMR services to 17 patients (5 telephonic and 12 face-to-face interviews). A total of 67 claims (17 CMRs and 50 CMR-generated claims) were submitted for reimbursement of $1,642 ($96.58/CMR case). Total ECA was $54,250, averaging $3,191.19 per patient. Seven student pharmacists gained CMR interview training. Interest in collaboration by community pharmacies was lower than expected; however, the campus-community practice model addressed unmet patient care needs, reduced outstanding MTM CMR case loads, increased ECA, and facilitated faculty development and training of student pharmacists.

The training and professional expectations of medical students in Angola, Guinea-Bissau and Mozambique

PubMed Central

2011-01-01

Background The purpose of this paper is to describe and analyze the professional expectations of medical students during the 2007-2008 academic year at the public medical schools of Angola, Guinea-Bissau and Mozambique, and to identify their social and geographical origins, their professional expectations and difficulties relating to their education and professional future. Methods Data were collected through a standardised questionnaire applied to all medical students registered during the 2007-2008 academic year. Results Students decide to study medicine at an early age. Relatives and friends seem to have an especially important influence in encouraging, reinforcing and promoting the desire to be a doctor. The degree of feminization of the student population differs among the different countries. Although most medical students are from outside the capital cities, expectations of getting into medical school are already associated with migration from the periphery to the capital city, even before entering medical education. Academic performance is poor. This seems to be related to difficulties in accessing materials, finances and insufficient high school preparation. Medical students recognize the public sector demand but their expectations are to combine public sector practice with private work, in order to improve their earnings. Salary expectations of students vary between the three countries. Approximately 75% want to train as hospital specialists and to follow a hospital-based career. A significant proportion is unsure about their future area of specialization, which for many students is equated with migration to study abroad. Conclusions Medical education is an important national investment, but the returns obtained are not as efficient as expected. Investments in high-school preparation, tutoring, and infrastructure are likely to have a significant impact on the success rate of medical schools. Special attention should be given to the socialization of students and the role model status of their teachers. In countries with scarce medical resources, the hospital orientation of students' expectations is understandable, although it should be associated with the development of skills to coordinate hospital work with the network of peripheral facilities. Developing a local postgraduate training capacity for doctors might be an important strategy to help retain medical doctors in the home country. PMID:21473778

Service quality in healthcare institutions: establishing the gaps for policy action.

PubMed

Abuosi, Aaron A; Atinga, Roger A

2013-01-01

The authors seek to examine two key issues: to assess patients' hospital service quality perceptions and expectation using SERVQUAL; and to outline the distinct concepts used to assess patient perceptions. Questionnaires were administered to 250 patients on admission and follow-up visits. The 22 paired SERVQUAL expectation and perception items were adopted. Repeated t-measures and factor analysis with Varimax rotation were used to analyse data. Results showed that patient expectations were not being met during medical treatment. Perceived service quality was rated lower than expectations for all variables. The mean difference between perceptions and expectations was statistically significant. Contrary to the SERVQUAL five-factor model, four service-quality factors were identified in the study. Findings have practical implications for hospital managers who should consider stepping up staffing levels backed by client-centred training programmes to help clinicians deliver care to patients' expectations. Limited studies are tailored towards patients' service-quality perception and expectation in Ghanaian hospitals. The findings therefore provide valuable information for policy and practice.

Evaluating Flight Crew Operator Manual Documentation

NASA Technical Reports Server (NTRS)

Sherry, Lance; Feary, Michael

1998-01-01

Aviation and cognitive science researchers have identified situations in which the pilot s expectations for the behavior of the avionics are not matched by the actual behavior of the avionics. Researchers have attributed these "automation surprises" to the complexity of the avionics mode logic, the absence of complete training, limitations in cockpit displays, and ad-hoc conceptual models of the avionics. Complete canonical rule-based descriptions of the behavior of the autopilot provide the basis for understanding the perceived complexity of the autopilots, the differences between the pilot s and autopilot s conceptual models, and the limitations in training materials and cockpit displays. This paper compares the behavior of the autopilot Vertical Speed/Flight Path Angle (VS-FPA) mode as described in the Flight Crew Operators Manual (FCOM) and the actual behavior of the VS-FPA mode defined in the autopilot software. This example demonstrates the use of the Operational Procedure Model (OPM) as a method for using the requirements specification for the design of the software logic as information requirements for training.

One-Shot Learning of Human Activity With an MAP Adapted GMM and Simplex-HMM.

PubMed

Rodriguez, Mario; Orrite, Carlos; Medrano, Carlos; Makris, Dimitrios

2016-05-10

This paper presents a novel activity class representation using a single sequence for training. The contribution of this representation lays on the ability to train an one-shot learning recognition system, useful in new scenarios where capturing and labeling sequences is expensive or impractical. The method uses a universal background model of local descriptors obtained from source databases available on-line and adapts it to a new sequence in the target scenario through a maximum a posteriori adaptation. Each activity sample is encoded in a sequence of normalized bag of features and modeled by a new hidden Markov model formulation, where the expectation-maximization algorithm for training is modified to deal with observations consisting in vectors in a unit simplex. Extensive experiments in recognition have been performed using one-shot learning over the public datasets Weizmann, KTH, and IXMAS. These experiments demonstrate the discriminative properties of the representation and the validity of application in recognition systems, achieving state-of-the-art results.

Anchoring a Mentoring Network in a New Faculty Development Program

ERIC Educational Resources Information Center

Beane-Katner, Linda

2014-01-01

Intentional mentoring of the next generation of faculty is critical if they are to be successful teacher-scholars. The traditional model of one-on-one mentoring is insufficient given the changing demographics of next-generation faculty members, their particular expectations, the limited professional training they receive in graduate school, and…

Novel Functional Extended Solids at Extreme Conditions

DTIC Science & Technology

2013-02-01

XeF8 polyhedron with a Xe-F distance 2.3 (±.1) Å - well below the metallization pressure of Xe [2,3] and F2 [4]. These findings signify...for explosives modeling and is expected to be incorporated into the explosive database such as Cheetah, etc., and (v) training graduate students and

Computer-Related Success and Failure: A Longitudinal Field Study of the Factors Influencing Computer-Related Performance.

ERIC Educational Resources Information Center

Rozell, E. J.; Gardner, W. L., III

1999-01-01

A model of the intrapersonal processes impacting computer-related performance was tested using data from 75 manufacturing employees in a computer training course. Gender, computer experience, and attributional style were predictive of computer attitudes, which were in turn related to computer efficacy, task-specific performance expectations, and…

How do IMGs compare with Canadian medical school graduates in a family practice residency program?

PubMed Central

Andrew, Rodney F.

2010-01-01

ABSTRACT OBJECTIVE To compare international medical graduates (IMGs) with Canadian medical school graduates in a family practice residency program. DESIGN Analysis of the results of the in-training evaluation reports (ITERs) and the Certification in Family Medicine (CCFP) examination results for 2 cohorts of IMGs and Canadian-trained graduates between the years 2006 and 2008. SETTING St Paul’s Hospital (SPH) in Vancouver, BC, a training site of the University of British Columbia (UBC) Family Practice Residency Program. PARTICIPANTS In-training evaluation reports were examined for 12 first-year and 9 second-year Canadian-trained residents at the SPH site, and 12 first-year and 12 second-year IMG residents at the IMG site at SPH; CCFP examination results were reviewed for all UBC family practice residents who took the May 2008 examination and disclosed their results. MAIN OUTCOME MEASURES Pass or fail rates on the CCFP examination; proportions of evaluations in each group of residents given each of the following designations: exceeds expectations, meets expectations, or needs improvement. The May 2008 CCFP examination results were reviewed. RESULTS Compared with the second-year IMGs, the second-year SPH Canadian-trained residents had a greater proportion of exceeds expectations designations than the IMGs. For the first-year residents, both the SPH Canadian graduates and IMGs had similar results in all 3 categories. Combining the results of the 2 cohorts, the Canadian-trained residents had 310 (99%) ITERs that were designated as either exceeds expectations or meets expectations, and only 3 (1%) ITERs were in the needs improvement category. The IMG results were 362 (97.6%) ITERs in the exceeds expectations or meets expectations categories; 9 (2%) were in the needs improvement category. Statistically these are not significant differences. Seven of the 12 (58%) IMG candidates passed the CCFP examination compared with 59 of 62 (95%) of the UBC family practice residents. CONCLUSION The IMG residents compared favourably with their Canadian-trained colleagues when comparing ITERs but not in passing the CCFP examination. Further research is needed to elucidate these results. PMID:20841570

Training across Cultures: What To Expect.

ERIC Educational Resources Information Center

Weech, William A.

2001-01-01

Discusses four critical dimensions that help explain the variation in cultural expectations: (1) egalitarianism versus hierarchy; (2) individualism versus collectivism; (3) achievement versus relationship orientation; and (4) loose versus tight structure. Explains how to apply these dimensions in training. (JOW)

Hybrid simulated annealing and its application to optimization of hidden Markov models for visual speech recognition.

PubMed

Lee, Jong-Seok; Park, Cheol Hoon

2010-08-01

We propose a novel stochastic optimization algorithm, hybrid simulated annealing (SA), to train hidden Markov models (HMMs) for visual speech recognition. In our algorithm, SA is combined with a local optimization operator that substitutes a better solution for the current one to improve the convergence speed and the quality of solutions. We mathematically prove that the sequence of the objective values converges in probability to the global optimum in the algorithm. The algorithm is applied to train HMMs that are used as visual speech recognizers. While the popular training method of HMMs, the expectation-maximization algorithm, achieves only local optima in the parameter space, the proposed method can perform global optimization of the parameters of HMMs and thereby obtain solutions yielding improved recognition performance. The superiority of the proposed algorithm to the conventional ones is demonstrated via isolated word recognition experiments.

Recall of Others' Actions after Incidental Encoding Reveals Episodic-like Memory in Dogs.

PubMed

Fugazza, Claudia; Pogány, Ákos; Miklósi, Ádám

2016-12-05

The existence of episodic memory in non-human animals is a debated topic that has been investigated using different methodologies that reflect diverse theoretical approaches to its definition. A fundamental feature of episodic memory is recalling after incidental encoding, which can be assessed if the recall test is unexpected [1]. We used a modified version of the "Do as I Do" method [2], relying on dogs' ability to imitate human actions, to test whether dogs can rely on episodic memory when recalling others' actions from the past. Dogs were first trained to imitate human actions on command. Next, they were trained to perform a simple training exercise (lying down), irrespective of the previously demonstrated action. This way, we substituted their expectation to be required to imitate with the expectation to be required to lie down. We then tested whether dogs recalled the demonstrated actions by unexpectedly giving them the command to imitate, instead of lying down. Dogs were tested with a short (1 min) and a long (1 hr) retention interval. They were able to recall the demonstrated actions after both intervals; however, their performance declined more with time compared to conditions in which imitation was expected. These findings show that dogs recall past events as complex as human actions even if they do not expect the memory test, providing evidence for episodic-like memory. Dogs offer an ideal model to study episodic memory in non-human species, and this methodological approach allows investigating memory of complex, context-rich events. VIDEO ABSTRACT. Copyright © 2016 Elsevier Ltd. All rights reserved.

Employer Expectations for Newly Trained Pathologists: Report of a Survey From the Graduate Medical Education Committee of the College of American Pathologists.

PubMed

Post, Miriam D; Johnson, Kristen; Brissette, Mark D; Conran, Richard Michael; Domen, Ronald E; Hoffman, Robert D; McCloskey, Cindy B; Raciti, Patricia M; Roberts, Cory Anthony; Rojiani, Amyn M; Tucker, J Allan; Powell, Suzanne Z

2017-02-01

-Multiple sources have identified challenges that training programs face in preparing graduates for the "real world" practice of pathology, and many training programs have sought to decrease the gap between skills acquired during training and those required in practice. However, there exists the possibility that some of the difficulty experienced by newly trained pathologists and employers might arise from differences between employer expectations of new hires and what applicants expect from their first job. -To define the constellation of skills and attributes employers prioritize when hiring newly trained pathologists. -A survey of fellows of the College of American Pathologists in practice for 5 or more years in the United States was administered and the results were analyzed. -A total of 630 pathologists who were responsible for hiring a new-in-practice pathologist completed the survey. Regardless of practice setting, certain skills and attributes were rated critically important in new hires, including ethics/integrity, work ethic, and professionalism. Seventy-one percent reported having some difficulty hiring entry-level pathologists and cited inadequate training/experience during residency, and applicants having unrealistic expectations regarding work load/hours as the most common reasons. -Prospective employers not only expect well-developed diagnostic skills in their job applicants, but also require evidence of a strong work ethic and outstanding professionalism. Successful applicants must display willingness to assume responsibilities and flexibility regarding existing and new responsibilities. A secondary but important finding of this survey was that most jobs are garnered through word-of-mouth recommendations; therefore, it is crucial for pathologists-in-training to hone their networking skills.

Nurses' experiences, expectations, and preferences for mind-body practices to reduce stress.

PubMed

Kemper, Kathi; Bulla, Sally; Krueger, Deborah; Ott, Mary Jane; McCool, Jane A; Gardiner, Paula

2011-04-11

Most research on the impact of mind-body training does not ask about participants' baseline experience, expectations, or preferences for training. To better plan participant-centered mind-body intervention trials for nurses to reduce occupational stress, such descriptive information would be valuable. We conducted an anonymous email survey between April and June, 2010 of North American nurses interested in mind-body training to reduce stress. The e-survey included: demographic characteristics, health conditions and stress levels; experiences with mind-body practices; expected health benefits; training preferences; and willingness to participate in future randomized controlled trials. Of the 342 respondents, 96% were women and 92% were Caucasian. Most (73%) reported one or more health conditions, notably anxiety (49%); back pain (41%); GI problems such as irritable bowel syndrome (34%); or depression (33%). Their median occupational stress level was 4 (0 = none; 5 = extreme stress). Nearly all (99%) reported already using one or more mind-body practices to reduce stress: intercessory prayer (86%), breath-focused meditation (49%), healing or therapeutic touch (39%), yoga/tai chi/qi gong (34%), or mindfulness-based meditation (18%). The greatest expected benefits were for greater spiritual well-being (56%); serenity, calm, or inner peace (54%); better mood (51%); more compassion (50%); or better sleep (42%). Most (65%) wanted additional training; convenience (74% essential or very important), was more important than the program's reputation (49%) or scientific evidence about effectiveness (32%) in program selection. Most (65%) were willing to participate in a randomized trial of mind-body training; among these, most were willing to collect salivary cortisol (60%), or serum biomarkers (53%) to assess the impact of training. Most nurses interested in mind-body training already engage in such practices. They have greater expectations about spiritual and emotional than physical benefits, but are willing to participate in studies and to collect biomarker data. Recruitment may depend more on convenience than a program's scientific basis or reputation. Knowledge of participants' baseline experiences, expectations, and preferences helps inform future training and research on mind-body approaches to reduce stress.

Nurses' experiences, expectations, and preferences for mind-body practices to reduce stress

PubMed Central

2011-01-01

Background Most research on the impact of mind-body training does not ask about participants' baseline experience, expectations, or preferences for training. To better plan participant-centered mind-body intervention trials for nurses to reduce occupational stress, such descriptive information would be valuable. Methods We conducted an anonymous email survey between April and June, 2010 of North American nurses interested in mind-body training to reduce stress. The e-survey included: demographic characteristics, health conditions and stress levels; experiences with mind-body practices; expected health benefits; training preferences; and willingness to participate in future randomized controlled trials. Results Of the 342 respondents, 96% were women and 92% were Caucasian. Most (73%) reported one or more health conditions, notably anxiety (49%); back pain (41%); GI problems such as irritable bowel syndrome (34%); or depression (33%). Their median occupational stress level was 4 (0 = none; 5 = extreme stress). Nearly all (99%) reported already using one or more mind-body practices to reduce stress: intercessory prayer (86%), breath-focused meditation (49%), healing or therapeutic touch (39%), yoga/tai chi/qi gong (34%), or mindfulness-based meditation (18%). The greatest expected benefits were for greater spiritual well-being (56%); serenity, calm, or inner peace (54%); better mood (51%); more compassion (50%); or better sleep (42%). Most (65%) wanted additional training; convenience (74% essential or very important), was more important than the program's reputation (49%) or scientific evidence about effectiveness (32%) in program selection. Most (65%) were willing to participate in a randomized trial of mind-body training; among these, most were willing to collect salivary cortisol (60%), or serum biomarkers (53%) to assess the impact of training. Conclusions Most nurses interested in mind-body training already engage in such practices. They have greater expectations about spiritual and emotional than physical benefits, but are willing to participate in studies and to collect biomarker data. Recruitment may depend more on convenience than a program's scientific basis or reputation. Knowledge of participants' baseline experiences, expectations, and preferences helps inform future training and research on mind-body approaches to reduce stress. PMID:21481259

Do we need animal hands-on courses for transplantation surgery?

PubMed

Golriz, Mohammad; Hafezi, Mohammadreza; Garoussi, Camelia; Fard, Nassim; Arvin, Jalal; Fonouni, Hamidreza; Nickkholgh, Arash; Kulu, Yakob; Frongia, Giovani; Schemmer, Peter; Mehrabi, Arianeb

2013-01-01

Transplantation surgery requires many years of training. This study evaluates and presents the results of our recent four-yr animal hands-on courses of transplantation surgery on participants' training. Since 2008, five two-d hands-on courses of transplantation surgery were performed on swine models at our department. Sixty-one participants were asked to answer three questionnaires (pre-course, immediate post-course, subsequent post-course). The questions pertained to their past education, expectations, and evaluation of our courses, as well as our course's effectiveness in advancing their surgical abilities. The results were analyzed, compared and are presented herein. On average, 1.8 multiorgan procurements, 2.3 kidney, 1.5 liver, and 0.7 pancreas transplantations were performed by each participant. 41.7% of participants considered their previous practical training only satisfactory; 85% hoped for more opportunities to practice surgery; 73.3% evaluated our courses as very good; and 95.8% believed that our courses had fulfilled their expectations. 66% found the effectiveness of our course in advancing their surgical abilities very good; 30% good, and 4% satisfactory. Animal hands-on courses of transplantation surgery are one of the best options to learn and practice different operations and techniques in a near to clinical simulated model. Regular participation in such courses with a focus on practical issues can provide optimal opportunities for trainees with the advantage of direct mentoring and feedback. © 2013 John Wiley & Sons A/S.

Vertical flight training: An overview of training and flight simulator technology with emphasis on rotary-wing requirements

NASA Technical Reports Server (NTRS)

Alderete, Thomas S.; Ascencio-Lee, Carmen E.; Bray, Richard; Carlton, John; Dohme, Jack; Eshow, Michelle M.; Francis, Stephen; Lee, Owen M.; Lintern, Gavan; Lombardo, David A.

1994-01-01

The principal purpose of this publication is to provide a broad overview of the technology that is relevant to the design of aviation training systems and of the techniques applicable to the development, use, and evaluation of those systems. The issues addressed in our 11 chapters are, for the most part, those that would be expected to surface in any informed discussion of the major characterizing elements of aviation training systems. Indeed, many of the same facets of vertical-flight training discussed were recognized and, to some extent, dealt with at the 1991 NASA/FAA Helicopter Simulator Workshop. These generic topics are essential to a sound understanding of training and training systems, and they quite properly form the basis of any attempt to systematize the development and evaluation of more effective, more efficient, more productive, and more economical approaches to aircrew training. Individual chapters address the following topics: an overview of the vertical flight industry: the source of training requirements; training and training schools: meeting current requirements; training systems design and development; transfer of training and cost-effectiveness; the military quest for flight training effectiveness; alternative training systems; training device manufacturing; simulator aero model implementation; simulation validation in the frequency domain; cockpit motion in helicopter simulation; and visual space perception in flight simulators.

[Effects of practical training to increase motivation for learning and related factors].

PubMed

Yamaguchi, Takumi; Akiyama, Shinji; Sagara, Hidenori; Tanaka, Akihiro; Miyauchi, Yoshirou; Araki, Hiroaki; Shibata, Kazuhiko; Izushi, Fumio; Namba, Hiroyuki

2014-01-01

Under the six-year pharmaceutical education system that was initiated in April 2006, students who had completed the course in March 2012 became the first graduates. The six-year system encourages students to develop a well-rounded personality, a deep sense of ethics, knowledge required for health care professionals, abilities to identify and solve problems, and practical skills required in clinical settings, as well as basic knowledge and skills. Under the new education system based on the "pharmaceutical education model core curriculums" and "practical training model core curriculums", general pharmaceutical education is implemented in each college, and five-month practical training is conducted in clinical settings. Clinical tasks experienced by students for the first time are expected to significantly influence their motivation to learn and future prospects. In the present survey research, students who had completed practical training evaluated the training program, and correspondence and logistic regression analyses of the results were conducted to examine the future effects and influences of the training on the students. The results suggest that the students viewed the practical training program positively. In addition, clinical experience during the training sessions not only influenced their decisions on future careers, but also significantly increased their motivation to learn. Furthermore, their motivation for learning was increased most by the enthusiasm of pharmacists who advised them in clinical settings, rather than the training program itself. To improve pharmaceutical clinical learning, it is important to develop teaching and working environments for pharmacists in charge of advising students in clinical training.

Modeling photovoltaic diffusion: an analysis of geospatial datasets

NASA Astrophysics Data System (ADS)

Davidson, Carolyn; Drury, Easan; Lopez, Anthony; Elmore, Ryan; Margolis, Robert

2014-07-01

This study combines address-level residential photovoltaic (PV) adoption trends in California with several types of geospatial information—population demographics, housing characteristics, foreclosure rates, solar irradiance, vehicle ownership preferences, and others—to identify which subsets of geospatial information are the best predictors of historical PV adoption. Number of rooms, heating source and house age were key variables that had not been previously explored in the literature, but are consistent with the expected profile of a PV adopter. The strong relationship provided by foreclosure indicators and mortgage status have less of an intuitive connection to PV adoption, but may be highly correlated with characteristics inherent in PV adopters. Next, we explore how these predictive factors and model performance varies between different Investor Owned Utility (IOU) regions in California, and at different spatial scales. Results suggest that models trained with small subsets of geospatial information (five to eight variables) may provide similar explanatory power as models using hundreds of geospatial variables. Further, the predictive performance of models generally decreases at higher resolution, i.e., below ZIP code level since several geospatial variables with coarse native resolution become less useful for representing high resolution variations in PV adoption trends. However, for California we find that model performance improves if parameters are trained at the regional IOU level rather than the state-wide level. We also find that models trained within one IOU region are generally representative for other IOU regions in CA, suggesting that a model trained with data from one state may be applicable in another state.

Competency-based Radiology Residency: A Survey of Expectations from Singapore's Perspective.

PubMed

Yang, Hui; Tan, Colin J X; Lau, Doreen A H; Lim, Winston E H; Tay, Kiang Hiong; Kei, Pin Lin

2015-03-01

In response to the demands of an ageing nation, the postgraduate medical education in Singapore is currently in the early stage of transition into the American-styled residency programme. This study assessed the expectations of both radiology trainees and faculty on their ideal clinical learning environment (CLE) which facilitates the programme development. A modified 23-item questionnaire was administered to both trainees and faculty at a local training hospital. All items were scored according to their envisioned level of importance and categorised into 5 main CLE domains-supervision, formal training programme, work-based learning, social atmosphere and workload. 'Supervision' was identified as the most important domain of the CLE by both trainees and faculty, followed by 'formal training programmes', 'work-based learning' and 'social atmosphere'. 'Workload' was rated as the least important domain. For all domains, the reported expectation between both trainees and faculty respondents did not differ significantly. Intragroup comparison also showed no significant difference within each group of respondents. This study has provided valuable insights on both respondents' expectations on their ideal CLE that can best train competency in future radiologists. Various approaches to address these concerns were also discussed. The similarities in findings between ours and previous studies suggest that the 'supervision', 'formal training programmes' and 'work-based learning' domains are crucial for the success of a postgraduate medical training and should be emphasised in future curriculum. 'Workload' remains a challenge in postgraduate medical training, but attempts to address this will have an impact in future radiology training.

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

Aldegunde, Manuel, E-mail: M.A.Aldegunde-Rodriguez@warwick.ac.uk; Kermode, James R., E-mail: J.R.Kermode@warwick.ac.uk; Zabaras, Nicholas

This paper presents the development of a new exchange–correlation functional from the point of view of machine learning. Using atomization energies of solids and small molecules, we train a linear model for the exchange enhancement factor using a Bayesian approach which allows for the quantification of uncertainties in the predictions. A relevance vector machine is used to automatically select the most relevant terms of the model. We then test this model on atomization energies and also on bulk properties. The average model provides a mean absolute error of only 0.116 eV for the test points of the G2/97 set butmore » a larger 0.314 eV for the test solids. In terms of bulk properties, the prediction for transition metals and monovalent semiconductors has a very low test error. However, as expected, predictions for types of materials not represented in the training set such as ionic solids show much larger errors.« less

An Alternative Graduate Teacher Inclusive Preparation Programme in Early Childhood Education: A Collaboration Model

ERIC Educational Resources Information Center

Gelfer, Jeffrey I.; Krasch, Delilah J.; O'Hara, Kathleen S.

2015-01-01

Teacher shortages are a pervasive global issue that is expected to continue, especially in low-performing, high-needs schools [O'Connor, E. A., Malow, M. S., & Bisland, B. M. (2011). Mentorship and instruction received during training: Views of alternatively certified teachers. "Educational Review," 63(2), 219-232]. In an effort to…

Vertical integration - Reducing the load on GP teachers.

PubMed

Anderson, Katrina; Thomson, Jennifer

2009-11-01

With the increased medical student numbers in Australia there is an expectation that general practice will train students, junior doctors and registrars, and the teaching burden for busy general practitioners will rise. We discuss the model of vertical integration of general practice education set up at the Australian National University Medical School in the Australian Capital Territory and southeast New South Wales. This model of vertical integration is unique. It could be adapted in a range of vocational settings and spans medical student, prevocational doctor, registrar and international medical graduate teaching. A key aim of these strategies is to reduce the load on the clinical GP teacher as sustaining their contribution is crucial to the future of training in general practice.

Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems

PubMed Central

Chang, Kuei-Hu; Chang, Yung-Chia; Chain, Kai; Chung, Hsiang-Yu

2016-01-01

The advancement of high technologies and the arrival of the information age have caused changes to the modern warfare. The military forces of many countries have replaced partially real training drills with training simulation systems to achieve combat readiness. However, considerable types of training simulation systems are used in military settings. In addition, differences in system set up time, functions, the environment, and the competency of system operators, as well as incomplete information have made it difficult to evaluate the performance of training simulation systems. To address the aforementioned problems, this study integrated analytic hierarchy process, soft set theory, and the fuzzy linguistic representation model to evaluate the performance of various training simulation systems. Furthermore, importance–performance analysis was adopted to examine the influence of saving costs and training safety of training simulation systems. The findings of this study are expected to facilitate applying military training simulation systems, avoiding wasting of resources (e.g., low utility and idle time), and providing data for subsequent applications and analysis. To verify the method proposed in this study, the numerical examples of the performance evaluation of training simulation systems were adopted and compared with the numerical results of an AHP and a novel AHP-based ranking technique. The results verified that not only could expert-provided questionnaire information be fully considered to lower the repetition rate of performance ranking, but a two-dimensional graph could also be used to help administrators allocate limited resources, thereby enhancing the investment benefits and training effectiveness of a training simulation system. PMID:27598390

Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems.

PubMed

Chang, Kuei-Hu; Chang, Yung-Chia; Chain, Kai; Chung, Hsiang-Yu

2016-01-01

The advancement of high technologies and the arrival of the information age have caused changes to the modern warfare. The military forces of many countries have replaced partially real training drills with training simulation systems to achieve combat readiness. However, considerable types of training simulation systems are used in military settings. In addition, differences in system set up time, functions, the environment, and the competency of system operators, as well as incomplete information have made it difficult to evaluate the performance of training simulation systems. To address the aforementioned problems, this study integrated analytic hierarchy process, soft set theory, and the fuzzy linguistic representation model to evaluate the performance of various training simulation systems. Furthermore, importance-performance analysis was adopted to examine the influence of saving costs and training safety of training simulation systems. The findings of this study are expected to facilitate applying military training simulation systems, avoiding wasting of resources (e.g., low utility and idle time), and providing data for subsequent applications and analysis. To verify the method proposed in this study, the numerical examples of the performance evaluation of training simulation systems were adopted and compared with the numerical results of an AHP and a novel AHP-based ranking technique. The results verified that not only could expert-provided questionnaire information be fully considered to lower the repetition rate of performance ranking, but a two-dimensional graph could also be used to help administrators allocate limited resources, thereby enhancing the investment benefits and training effectiveness of a training simulation system.

The emergency first aid responder system model: using community members to assist life-threatening emergencies in violent, developing areas of need.

PubMed

Sun, Jared H; Wallis, Lee A

2012-08-01

As many as 90% of all trauma-related deaths occur in developing nations, and this is expected to get worse with modernisation. The current method of creating an emergency care system by modelling after that of a Western nation is too resource-heavy for most developing countries to handle. A cheaper, more community-based model is needed to establish new emergency care systems and to support them to full maturity. A needs assessment was undertaken in Manenberg, a township in Cape Town with high violence and injury rates. Community leaders and successfully established local services were consulted for the design of a first responder care delivery model. The resultant community-based emergency first aid responder (EFAR) system was implemented, and EFARs were tracked over time to determine skill retention and usage. The EFAR system model and training curriculum. Basic EFARs are spread throughout the community with the option of becoming stationed advanced EFARs. All EFARs are overseen by a local organisation and a professional body, and are integrated with the local ambulance response if one exists. On competency examinations, all EFARs tested averaged 28.2% before training, 77.8% after training, 71.3% 4 months after training and 71.0% 6 months after training. EFARs reported using virtually every skill taught them, and further review showed that they had done so adequately. The EFAR system is a low-cost, versatile model that can be used in a developing region both to lay the foundation for an emergency care system or support a new one to maturity.

Expectations of clinical teachers and faculty regarding development of the CanMEDS-Family Medicine competencies: Laval developmental benchmarks scale for family medicine residency training.

PubMed

Lacasse, Miriam; Théorêt, Johanne; Tessier, Sylvie; Arsenault, Louise

2014-01-01

The CanMEDS-Family Medicine (CanMEDS-FM) framework defines the expected terminal enabling competencies (EC) for family medicine (FM) residency training in Canada. However, benchmarks throughout the 2-year program are not yet defined. This study aimed to identify expected time frames for achievement of the CanMEDS-FM competencies during FM residency training and create a developmental benchmarks scale for family medicine residency training. This 2011-2012 study followed a Delphi methodology. Selected faculty and clinical teachers identified, via questionnaire, the expected time of EC achievement from beginning of residency to one year in practice (0, 6, 12, […] 36 months). The 15-85th percentile intervals became the expected competency achievement interval. Content validity of the obtained benchmarks was assessed through a second Delphi round. The 1st and 2nd rounds were completed by 33 and 27 respondents, respectively. A developmental benchmarks scale was designed after the 1st round to illustrate expectations regarding achievement of each EC. The 2nd round (content validation) led to minor adjustments (1.9±2.7 months) of intervals for 44 of the 92 competencies, the others remaining unchanged. The Laval Developmental Benchmarks Scale for Family Medicine clarifies expectations regarding achievement of competencies throughout FM training. In a competency-based education system this now allows identification and management of outlying residents, both those excelling and needing remediation. Further research should focus on assessment of the scale reliability after pilot implementation in family medicine clinical teaching units at Laval University, and corroborate the established timeline in other sites.

An instrument to assess subjective task value beliefs regarding the decision to pursue postgraduate training.

PubMed

Hagemeier, Nicholas E; Murawski, Matthew M

2014-02-12

To develop and validate an instrument to assess subjective ratings of the perceived value of various postgraduate training paths followed using expectancy-value as a theoretical framework; and to explore differences in value beliefs across type of postgraduate training pursued and type of pharmacy training completed prior to postgraduate training. A survey instrument was developed to sample 4 theoretical domains of subjective task value: intrinsic value, attainment value, utility value, and perceived cost. Retrospective self-report methodology was employed to examine respondents' (N=1,148) subjective task value beliefs specific to their highest level of postgraduate training completed. Exploratory and confirmatory factor analytic techniques were used to evaluate and validate value belief constructs. Intrinsic, attainment, utility, cost, and financial value constructs resulted from exploratory factor analysis. Cross-validation resulted in a 26-item instrument that demonstrated good model fit. Differences in value beliefs were noted across type of postgraduate training pursued and pharmacy training characteristics. The Postgraduate Training Value Instrument demonstrated evidence of reliability and construct validity. The survey instrument can be used to assess value beliefs regarding multiple postgraduate training options in pharmacy and potentially inform targeted recruiting of individuals to those paths best matching their own value beliefs.

AveBoost2: Boosting for Noisy Data

NASA Technical Reports Server (NTRS)

Oza, Nikunj C.

2004-01-01

AdaBoost is a well-known ensemble learning algorithm that constructs its constituent or base models in sequence. A key step in AdaBoost is constructing a distribution over the training examples to create each base model. This distribution, represented as a vector, is constructed to be orthogonal to the vector of mistakes made by the pre- vious base model in the sequence. The idea is to make the next base model's errors uncorrelated with those of the previous model. In previous work, we developed an algorithm, AveBoost, that constructed distributions orthogonal to the mistake vectors of all the previous models, and then averaged them to create the next base model s distribution. Our experiments demonstrated the superior accuracy of our approach. In this paper, we slightly revise our algorithm to allow us to obtain non-trivial theoretical results: bounds on the training error and generalization error (difference between training and test error). Our averaging process has a regularizing effect which, as expected, leads us to a worse training error bound for our algorithm than for AdaBoost but a superior generalization error bound. For this paper, we experimented with the data that we used in both as originally supplied and with added label noise-a small fraction of the data has its original label changed. Noisy data are notoriously difficult for AdaBoost to learn. Our algorithm's performance improvement over AdaBoost is even greater on the noisy data than the original data.

A novel method of language modeling for automatic captioning in TC video teleconferencing.

PubMed

Zhang, Xiaojia; Zhao, Yunxin; Schopp, Laura

2007-05-01

We are developing an automatic captioning system for teleconsultation video teleconferencing (TC-VTC) in telemedicine, based on large vocabulary conversational speech recognition. In TC-VTC, doctors' speech contains a large number of infrequently used medical terms in spontaneous styles. Due to insufficiency of data, we adopted mixture language modeling, with models trained from several datasets of medical and nonmedical domains. This paper proposes novel modeling and estimation methods for the mixture language model (LM). Component LMs are trained from individual datasets, with class n-gram LMs trained from in-domain datasets and word n-gram LMs trained from out-of-domain datasets, and they are interpolated into a mixture LM. For class LMs, semantic categories are used for class definition on medical terms, names, and digits. The interpolation weights of a mixture LM are estimated by a greedy algorithm of forward weight adjustment (FWA). The proposed mixing of in-domain class LMs and out-of-domain word LMs, the semantic definitions of word classes, as well as the weight-estimation algorithm of FWA are effective on the TC-VTC task. As compared with using mixtures of word LMs with weights estimated by the conventional expectation-maximization algorithm, the proposed methods led to a 21% reduction of perplexity on test sets of five doctors, which translated into improvements of captioning accuracy.

SGMM: Smart Grid Maturity Model. A Zero-depth Entry to Using the TSP: How TSP Was Used to Turn Around the SGMM Project that Was Drowning in Details

DTIC Science & Technology

2014-11-04

Compass Survey Questionnaire-based assessment yields maturity ratings and comparisons Navigation Process Expert-led workshops to complete... Compass and use results to develop consensus aspirations Training Overview Seminar and SGMM Navigator Course Partner Program License organizations...journey 19 SGMM Compass Survey Contains • One question for each expected characteristic in the model and • Attribute and performance questions

What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations

PubMed Central

McMurray, Bob; Jongman, Allard

2012-01-01

Most theories of categorization emphasize how continuous perceptual information is mapped to categories. However, equally important is the informational assumptions of a model, the type of information subserving this mapping. This is crucial in speech perception where the signal is variable and context-dependent. This study assessed the informational assumptions of several models of speech categorization, in particular, the number of cues that are the basis of categorization and whether these cues represent the input veridically or have undergone compensation. We collected a corpus of 2880 fricative productions (Jongman, Wayland & Wong, 2000) spanning many talker- and vowel-contexts and measured 24 cues for each. A subset was also presented to listeners in an 8AFC phoneme categorization task. We then trained a common classification model based on logistic regression to categorize the fricative from the cue values, and manipulated the information in the training set to contrast 1) models based on a small number of invariant cues; 2) models using all cues without compensation, and 3) models in which cues underwent compensation for contextual factors. Compensation was modeled by Computing Cues Relative to Expectations (C-CuRE), a new approach to compensation that preserves fine-grained detail in the signal. Only the compensation model achieved a similar accuracy to listeners, and showed the same effects of context. Thus, even simple categorization metrics can overcome the variability in speech when sufficient information is available and compensation schemes like C-CuRE are employed. PMID:21417542

Using an external surrogate for predictor model training in real-time motion management of lung tumors.

PubMed

Rottmann, Joerg; Berbeco, Ross

2014-12-01

Precise prediction of respiratory motion is a prerequisite for real-time motion compensation techniques such as beam, dynamic couch, or dynamic multileaf collimator tracking. Collection of tumor motion data to train the prediction model is required for most algorithms. To avoid exposure of patients to additional dose from imaging during this procedure, the feasibility of training a linear respiratory motion prediction model with an external surrogate signal is investigated and its performance benchmarked against training the model with tumor positions directly. The authors implement a lung tumor motion prediction algorithm based on linear ridge regression that is suitable to overcome system latencies up to about 300 ms. Its performance is investigated on a data set of 91 patient breathing trajectories recorded from fiducial marker tracking during radiotherapy delivery to the lung of ten patients. The expected 3D geometric error is quantified as a function of predictor lookahead time, signal sampling frequency and history vector length. Additionally, adaptive model retraining is evaluated, i.e., repeatedly updating the prediction model after initial training. Training length for this is gradually increased with incoming (internal) data availability. To assess practical feasibility model calculation times as well as various minimum data lengths for retraining are evaluated. Relative performance of model training with external surrogate motion data versus tumor motion data is evaluated. However, an internal-external motion correlation model is not utilized, i.e., prediction is solely driven by internal motion in both cases. Similar prediction performance was achieved for training the model with external surrogate data versus internal (tumor motion) data. Adaptive model retraining can substantially boost performance in the case of external surrogate training while it has little impact for training with internal motion data. A minimum adaptive retraining data length of 8 s and history vector length of 3 s achieve maximal performance. Sampling frequency appears to have little impact on performance confirming previously published work. By using the linear predictor, a relative geometric 3D error reduction of about 50% was achieved (using adaptive retraining, a history vector length of 3 s and with results averaged over all investigated lookahead times and signal sampling frequencies). The absolute mean error could be reduced from (2.0 ± 1.6) mm when using no prediction at all to (0.9 ± 0.8) mm and (1.0 ± 0.9) mm when using the predictor trained with internal tumor motion training data and external surrogate motion training data, respectively (for a typical lookahead time of 250 ms and sampling frequency of 15 Hz). A linear prediction model can reduce latency induced tracking errors by an average of about 50% in real-time image guided radiotherapy systems with system latencies of up to 300 ms. Training a linear model for lung tumor motion prediction with an external surrogate signal alone is feasible and results in similar performance as training with (internal) tumor motion. Particularly for scenarios where motion data are extracted from fluoroscopic imaging with ionizing radiation, this may alleviate the need for additional imaging dose during the collection of model training data.

Biofeedback therapy for migraine headaches.

PubMed

Turin, A; Johnson, W G

1976-04-01

We studied the biofeedback treatment of migraine headaches, attempting to control for some of the methodological limitations of previous work. Seven individuals suffering from migraine headache were trained in the usual finger warming procedure with the omission of autogenic phrases. Additionally, to control for placebo-expectance effects, three of these subjects received training in finger cooling prior to warming. With training in finger warming, headache activity was substantially reduced. In contrast, headache activity either remained at base line levels or increased during training in cooling despite positive therapeutic expectations. The results of this study indicate that finger temperature warming, without autogenic training, is effective in reducing migraine activity, independent of suggestion effects.

Rationale, scope, and 20-year experience of vascular surgical training with lifelike pulsatile flow models.

PubMed

Eckstein, Hans-Henning; Schmidli, Jürg; Schumacher, Hardy; Gürke, Lorenz; Klemm, Klaus; Duschek, Nikolaus; Meile, Toni; Assadian, Afshin

2013-05-01

Vascular surgical training currently has to cope with various challenges, including restrictions on work hours, significant reduction of open surgical training cases in many countries, an increasing diversity of open and endovascular procedures, and distinct expectations by trainees. Even more important, patients and the public no longer accept a "learning by doing" training philosophy that leaves the learning curve on the patient's side. The Vascular International (VI) Foundation and School aims to overcome these obstacles by training conventional vascular and endovascular techniques before they are applied on patients. To achieve largely realistic training conditions, lifelike pulsatile models with exchangeable synthetic arterial inlays were created to practice carotid endarterectomy and patch plasty, open abdominal aortic aneurysm surgery, and peripheral bypass surgery, as well as for endovascular procedures, including endovascular aneurysm repair, thoracic endovascular aortic repair, peripheral balloon dilatation, and stenting. All models are equipped with a small pressure pump inside to create pulsatile flow conditions with variable peak pressures of ~90 mm Hg. The VI course schedule consists of a series of 2-hour modules teaching different open or endovascular procedures step-by-step in a standardized fashion. Trainees practice in pairs with continuous supervision and intensive advice provided by highly experienced vascular surgical trainers (trainer-to-trainee ratio is 1:4). Several evaluations of these courses show that tutor-assisted training on lifelike models in an educational-centered and motivated environment is associated with a significant increase of general and specific vascular surgical technical competence within a short period of time. Future studies should evaluate whether these benefits positively influence the future learning curve of vascular surgical trainees and clarify to what extent sophisticated models are useful to assess the level of technical skills of vascular surgical residents at national or international board examinations. This article gives an overview of our experiences of >20 years of practical training of beginners and advanced vascular surgeons using lifelike pulsatile vascular surgical training models. Copyright © 2013 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

Abortion training in Canadian obstetrics and gynecology residency programs.

PubMed

Liauw, J; Dineley, B; Gerster, K; Hill, N; Costescu, D

2016-11-01

To evaluate the current state of abortion training in Canadian Obstetrics and Gynecology residency programs. Surveys were distributed to all Canadian Obstetrics and Gynecology residents and program directors. Data were collected on inclusion of abortion training in the curriculum, structure of the training and expected competency of residents in various abortion procedures. We distributed and collected surveys between November 2014 and May 2015. In total, 301 residents and 15 program directors responded, giving response rates of 55% and 94%, respectively. Based on responses by program directors, half of the programs had "opt-in" abortion training, and half of the programs had "opt-out" abortion training. Upon completion of residency, 66% of residents expected to be competent in providing first-trimester surgical abortion in an ambulatory setting, and 35% expected to be competent in second-trimester surgical abortion. Overall, 15% of residents reported that they were not aware of or did not have access to abortion training within their program, and 69% desired more abortion training during residency. Abortion training in Canadian Obstetrics and Gynecology residency programs is inconsistent, and residents desire more training in abortion. This suggests an ongoing unmet need for training in this area. Policies mandating standardized abortion training in obstetrics and gynecology residency programs are necessary to improve delivery of family planning services to Canadian women. Abortion training in Canadian Obstetrics and Gynecology residency programs is inconsistent, does not meet resident demand and is unlikely to fulfill the Royal College of Physicians and Surgeons of Canada objectives of training in the specialty. Copyright © 2016 Elsevier Inc. All rights reserved.

Online Support for VET Clients: Expectations and Experiences.

ERIC Educational Resources Information Center

Choy, Sarojni; McNickle, Cathy; Clayton, Berwyn

Since little research existed about services for online learners in Australia, a national study was conducted to explore the expectations and experiences of online learners in the Vocational Education and Training (VET) sector. Online learners enrolled with various Registered Training Organizations (RTOs) from the VET sector were contacted for…

Progress toward improved leadership and management training in pathology.

PubMed

Weiss, Ronald L; Hassell, Lewis A; Parks, Eric R

2014-04-01

Competency gaps in leadership and laboratory management skills continue to exist between what training programs deliver and what recent graduates and future employers expect. A number of recent surveys substantiate this. Interest in delivering content in these areas is challenged by time constraints, the presence of knowledgeable faculty role models, and the necessary importance placed on diagnostic skills development, which overshadows any priority trainees have toward developing these skills. To describe the problem, the near-future horizon, the current solutions, and the recommendations for improving resident training in laboratory management. The demands of new health care delivery models and the value being placed on these skills by the Pathology Milestones and Next Accreditation System initiative of the Accreditation Council for Graduate Medical Education for training programs emphasizes their importance. This initiative includes 6 milestone competencies in laboratory management. Organizations like the American Society for Clinical Pathology, the American Pathology Foundation, the College of American Pathologists, and the Association of Pathology Chairs Program Directors Section recognize these competencies and are working to create new tools for training programs to deploy. It is our recommendation that (1) every training program develop a formal educational strategy for management training, (2) greater opportunity and visibility be afforded for peer-reviewed publications on management topics in mainstream pathology literature, and (3) pathology milestones-oriented tools be developed to assist program directors and their trainees in developing this necessary knowledge and skills.

Refugee health and medical student training.

PubMed

Griswold, Kim S

2003-10-01

Cultural awareness training is an increasingly important priority within medical curricula. This article describes an academic family practice-community partnership focusing on health care needs of refugees that became the model for a medical school selective on cultural sensitivity training. The monthly Refugee Health Night program featured dinner with preceptors and patients, international sessions on special medical needs of refugees, and actual clinical encounters with patients. Students were not expected to become culturally competent experts but, rather, health care providers sensitive to and appreciative of cultural context, experience, and expectations. We worked with students to develop sensitive methods of inquiry about mental health, especially around issues of war and torture. We used problem-based cases to emphasize primary care continuity and the benefit of establishing trust over time. Over 2 years, 50 students and nearly 300 refugees (more than 73 families) participated. Students reported that their interactions with the refugees provided positive learning experiences, including expanded knowledge of diverse cultures and enhanced skills for overcoming communication barriers. Patients of refugee status were able to have emergent health care needs met in a timely fashion. Providing health care for refugee individuals and families presents many challenges as well as extraordinary opportunities for patients and practitioners to learn from one another.

Emulation of reionization simulations for Bayesian inference of astrophysics parameters using neural networks

NASA Astrophysics Data System (ADS)

Schmit, C. J.; Pritchard, J. R.

2018-03-01

Next generation radio experiments such as LOFAR, HERA, and SKA are expected to probe the Epoch of Reionization (EoR) and claim a first direct detection of the cosmic 21cm signal within the next decade. Data volumes will be enormous and can thus potentially revolutionize our understanding of the early Universe and galaxy formation. However, numerical modelling of the EoR can be prohibitively expensive for Bayesian parameter inference and how to optimally extract information from incoming data is currently unclear. Emulation techniques for fast model evaluations have recently been proposed as a way to bypass costly simulations. We consider the use of artificial neural networks as a blind emulation technique. We study the impact of training duration and training set size on the quality of the network prediction and the resulting best-fitting values of a parameter search. A direct comparison is drawn between our emulation technique and an equivalent analysis using 21CMMC. We find good predictive capabilities of our network using training sets of as low as 100 model evaluations, which is within the capabilities of fully numerical radiative transfer codes.

Seeking Researcher Identity through the Co-Construction and Representation of Young People's Narratives of Identity

ERIC Educational Resources Information Center

Kearns, Sarah

2012-01-01

This paper tells the story of how a model of action research was used to examine my own development and emerging identity as a researcher through the Master of Research programme at my employing university in Scotland. It is located within a context of increasing expectations on academics within vocational training departments of UK universities…

Application of Artificial Neural Network to Optical Fluid Analyzer

NASA Astrophysics Data System (ADS)

Kimura, Makoto; Nishida, Katsuhiko

1994-04-01

A three-layer artificial neural network has been applied to the presentation of optical fluid analyzer (OFA) raw data, and the accuracy of oil fraction determination has been significantly improved compared to previous approaches. To apply the artificial neural network approach to solving a problem, the first step is training to determine the appropriate weight set for calculating the target values. This involves using a series of data sets (each comprising a set of input values and an associated set of output values that the artificial neural network is required to determine) to tune artificial neural network weighting parameters so that the output of the neural network to the given set of input values is as close as possible to the required output. The physical model used to generate the series of learning data sets was the effective flow stream model, developed for OFA data presentation. The effectiveness of the training was verified by reprocessing the same input data as were used to determine the weighting parameters and then by comparing the results of the artificial neural network to the expected output values. The standard deviation of the expected and obtained values was approximately 10% (two sigma).

Audio-tactile integration and the influence of musical training.

PubMed

Kuchenbuch, Anja; Paraskevopoulos, Evangelos; Herholz, Sibylle C; Pantev, Christo

2014-01-01

Perception of our environment is a multisensory experience; information from different sensory systems like the auditory, visual and tactile is constantly integrated. Complex tasks that require high temporal and spatial precision of multisensory integration put strong demands on the underlying networks but it is largely unknown how task experience shapes multisensory processing. Long-term musical training is an excellent model for brain plasticity because it shapes the human brain at functional and structural levels, affecting a network of brain areas. In the present study we used magnetoencephalography (MEG) to investigate how audio-tactile perception is integrated in the human brain and if musicians show enhancement of the corresponding activation compared to non-musicians. Using a paradigm that allowed the investigation of combined and separate auditory and tactile processing, we found a multisensory incongruency response, generated in frontal, cingulate and cerebellar regions, an auditory mismatch response generated mainly in the auditory cortex and a tactile mismatch response generated in frontal and cerebellar regions. The influence of musical training was seen in the audio-tactile as well as in the auditory condition, indicating enhanced higher-order processing in musicians, while the sources of the tactile MMN were not influenced by long-term musical training. Consistent with the predictive coding model, more basic, bottom-up sensory processing was relatively stable and less affected by expertise, whereas areas for top-down models of multisensory expectancies were modulated by training.

Proceedings of the Symposium on Training of Nuclear Facility Personnel (8th, Gatlinburg, Tennessee, April 24-27, 1989).

ERIC Educational Resources Information Center

Oak Ridge National Lab., TN.

Education-related titles among the 56 papers are "Panel Discussion: Plant Expectation of Training" (Sellman, Zach, Cross); "Managing Training AT&T" (Solomon); "Training Management Systems" (Waylett); "Managing the Training Function" (Wiggin); "Training Management" (Newton); Three Alternative Simulation Systems for Training Nuclear Power Plant…

Track monitoring from the dynamic response of a passing train: A sparse approach

NASA Astrophysics Data System (ADS)

Lederman, George; Chen, Siheng; Garrett, James H.; Kovačević, Jelena; Noh, Hae Young; Bielak, Jacobo

2017-06-01

Collecting vibration data from revenue service trains could be a low-cost way to more frequently monitor railroad tracks, yet operational variability makes robust analysis a challenge. We propose a novel analysis technique for track monitoring that exploits the sparsity inherent in train-vibration data. This sparsity is based on the observation that large vertical train vibrations typically involve the excitation of the train's fundamental mode due to track joints, switchgear, or other discrete hardware. Rather than try to model the entire rail profile, in this study we examine a sparse approach to solving an inverse problem where (1) the roughness is constrained to a discrete and limited set of "bumps"; and (2) the train system is idealized as a simple damped oscillator that models the train's vibration in the fundamental mode. We use an expectation maximization (EM) approach to iteratively solve for the track profile and the train system properties, using orthogonal matching pursuit (OMP) to find the sparse approximation within each step. By enforcing sparsity, the inverse problem is well posed and the train's position can be found relative to the sparse bumps, thus reducing the uncertainty in the GPS data. We validate the sparse approach on two sections of track monitored from an operational train over a 16 month period of time, one where track changes did not occur during this period and another where changes did occur. We show that this approach can not only detect when track changes occur, but also offers insight into the type of such changes.

Training the Knowledge Worker: A Descriptive Study of Training Practices in Irish Software Companies.

ERIC Educational Resources Information Center

Acton, Thomas; Golden, Willie

2003-01-01

Employees (n=200) of 39 Irish software companies indicated the following about training practices: organizational commitment to and provision for training was positively associated with employee expectations; well-designed training increased job satisfaction and helped retain organizational knowledge. One-third believed training has not helped…

The impact of the SAGE & THYME foundation level workshop on factors influencing communication skills in health care professionals.

PubMed

Connolly, Michael; Thomas, Joanne M; Orford, Julie A; Schofield, Nicola; Whiteside, Sigrid; Morris, Julie; Heaven, Cathy

2014-01-01

The "SAGE & THYME Foundation Level Workshop" delivers evidence-based communication skills training to 30 health care workers in 3 hours. It teaches a structured approach (the SAGE & THYME model) to discuss patient/carer concerns. The aim of this study was to determine whether the workshop had a positive outcome on factors that influence communication skills. The study had a pragmatic, mixed methods design. Workshops were run in an acute hospital. One hundred seventy health care workers completed questionnaires pre- and post-workshop; 141 were sent follow-up questionnaires at 2 weeks and 2 months; and 9 were filmed talking to a simulated patient pre- and post-workshop. From pre- to post-workshop, there was a significant increase in knowledge (p < 0.001), self-efficacy (p < 0.001), and outcome expectancy (p < 0.001). An expert's rating of behavior with the simulated patient also significantly increased after the training (p = 0.011). Motivation to use the training, and the perceived usefulness of the SAGE & THYME model, were high post-workshop. There was a poor response rate in the follow-up period; hence, the quantitative data are not reported. The qualitative data are described, however, as they give an insight into the impact of the training on staff and their patients. The SAGE & THYME Foundation Level Workshop significantly increases communication skills knowledge, self-efficacy, and outcome expectancy of hospital health care workers who are predominantly white, female, nursing, or nonclinical staff. This suggests that the workshop may have a positive impact on some factors influencing communication skills in this group. © 2014 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on Continuing Medical Education, Association for Hospital Medical Education.

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

Rottmann, Joerg; Berbeco, Ross

Purpose: Precise prediction of respiratory motion is a prerequisite for real-time motion compensation techniques such as beam, dynamic couch, or dynamic multileaf collimator tracking. Collection of tumor motion data to train the prediction model is required for most algorithms. To avoid exposure of patients to additional dose from imaging during this procedure, the feasibility of training a linear respiratory motion prediction model with an external surrogate signal is investigated and its performance benchmarked against training the model with tumor positions directly. Methods: The authors implement a lung tumor motion prediction algorithm based on linear ridge regression that is suitable tomore » overcome system latencies up to about 300 ms. Its performance is investigated on a data set of 91 patient breathing trajectories recorded from fiducial marker tracking during radiotherapy delivery to the lung of ten patients. The expected 3D geometric error is quantified as a function of predictor lookahead time, signal sampling frequency and history vector length. Additionally, adaptive model retraining is evaluated, i.e., repeatedly updating the prediction model after initial training. Training length for this is gradually increased with incoming (internal) data availability. To assess practical feasibility model calculation times as well as various minimum data lengths for retraining are evaluated. Relative performance of model training with external surrogate motion data versus tumor motion data is evaluated. However, an internal–external motion correlation model is not utilized, i.e., prediction is solely driven by internal motion in both cases. Results: Similar prediction performance was achieved for training the model with external surrogate data versus internal (tumor motion) data. Adaptive model retraining can substantially boost performance in the case of external surrogate training while it has little impact for training with internal motion data. A minimum adaptive retraining data length of 8 s and history vector length of 3 s achieve maximal performance. Sampling frequency appears to have little impact on performance confirming previously published work. By using the linear predictor, a relative geometric 3D error reduction of about 50% was achieved (using adaptive retraining, a history vector length of 3 s and with results averaged over all investigated lookahead times and signal sampling frequencies). The absolute mean error could be reduced from (2.0 ± 1.6) mm when using no prediction at all to (0.9 ± 0.8) mm and (1.0 ± 0.9) mm when using the predictor trained with internal tumor motion training data and external surrogate motion training data, respectively (for a typical lookahead time of 250 ms and sampling frequency of 15 Hz). Conclusions: A linear prediction model can reduce latency induced tracking errors by an average of about 50% in real-time image guided radiotherapy systems with system latencies of up to 300 ms. Training a linear model for lung tumor motion prediction with an external surrogate signal alone is feasible and results in similar performance as training with (internal) tumor motion. Particularly for scenarios where motion data are extracted from fluoroscopic imaging with ionizing radiation, this may alleviate the need for additional imaging dose during the collection of model training data.« less

[Simulation in surgical training].

PubMed

Nabavi, A; Schipper, J

2017-01-01

Patient safety during operations hinges on the surgeon's skills and abilities. However, surgical training has come under a variety of restrictions. To acquire dexterity with decreasingly "simple" cases, within the legislative time constraints and increasing expectations for surgical results is the future challenge. Are there alternatives to traditional master-apprentice learning? A literature review and analysis of the development, implementation, and evaluation of surgical simulation are presented. Simulation, using a variety of methods, most important physical and virtual (computer-generated) models, provides a safe environment to practice basic and advanced skills without endangering patients. These environments have specific strengths and weaknesses. Simulations can only serve to decrease the slope of learning curves, but cannot be a substitute for the real situation. Thus, they have to be an integral part of a comprehensive training curriculum. Our surgical societies have to take up that challenge to ensure the training of future generations.

How shrinks think: decision making in psychiatry.

PubMed

Bhugra, Dinesh; Malliaris, Yanni; Gupta, Susham

2010-10-01

Psychiatrists use biopsychosocial models in identifying aetiological factors in assessing their patients and similar approaches in planning management. Models in decision making will be influenced by previous experience, training, age and gender, among other factors. Critical thinking and evidence base are both important components in the process of reaching clinical decisions. Expected outcome of treatment may be another factor. The way we think influences our decision making, clinical or otherwise. With patients expecting and taking larger roles in their own management, there needs to be a shift towards patient-centred care in decision making. Further exploration in how clinical decisions are made by psychiatrists is necessary. An understanding of the manner in which therapeutic alliances are formed between the clinician and the patient is necessary to understand decision making.

[Modeling integrative oncology care program for Arab patients in north Israel: towards quality of life improvement during chemotherapy].

PubMed

Ben-Arye, Eran; Dagash, Jamal; Silbermann, Michael; Saad, Bashar; Steiner, Mariana; Popper-Giveon, Ariela; Lev, Efraim; Agbarya, Abed; Sela, Gil Bar; Karkabi, Khaled; Schiff, Elad

2015-01-01

In the last decade, a number of integrative oncology programs have been established within leading oncology departments in Israel aiming to provide consultations that address patients' concerns and improve their quality of life (QOL). To identify Arab cancer patients' attitudes, needs and expectations concerning integration of complementary and traditional medicine (CTM) in their supportive oncology care. This article presents studies based on both qualitative (including interviews with patients, oncologists and CTM practitioners) and quantitative studies which were designed to evaluate patients' attitudes, needs and expectations regarding CTM integration in supportive oncology care. Of the 313 Arab respondents, 109 reported on the use of herbal medicine for cancer-associated outcomes. Over 78% of respondents considered QOL improvement as their main expectation of integrated CM consultation. Similar expectations were expressed in studies exploring 155 cancer care practitioners in Israel and Arab countries, 27 CTM-trained Arab practitioners, and a sample of 15 Arab patients referred to integrative medicine consultation. Arab cancer patients support QOL-oriented integrated medicine programs provided in oncology settings. Integrative medicine consultation should provide patients with an evidence-based recommendation on efficacy and safety of herbs commonly used concomitant with chemotherapy. We recommend designing integrative oncology training courses for physicians who will provide evidence-based consultation attuned with Arab patients' needs, concerns and cultural-sensitive orientation.

The Quality of Educational Services from Students' Viewpoint in Iran: A Systematic Review and Meta-analysis.

PubMed

Moosavi, Ahmad; Mohseni, Mohammad; Ziaiifar, Hajar; Azami-Aghdash, Saber; Gharasi Manshadi, Mahdi; Rezapour, Aziz

2017-04-01

Students' view is an important factor in assessing the quality of universities. Servqual pattern is regarded as the most prominent for services quality measurement. This study aimed to review systematically studies that investigated the quality of educational services. A systematic review and meta-analysis of studies evaluating students' viewpoint about quality of educational services were conducted. Required data were collected from PubMed, Embase, Scopus, Science Direct, Google Scholar, SID, Magiran, and Iranmedex, without time restriction. Computer software CMA, ver. 2 was applied to estimate the total mean score of students' perception and expectation of services quality and the gap between them. The 18 eligible studies were entered into study. The studies were conducted between 2004 and 2014. Based on the random effect model, the total mean score of students' perception, students' expectation and the gap between them were estimated 2.92 (95% CI, 2.75 - 3.09), 4.18 (95% CI, 3.98 - 4.38), respectively and -1.30 (95% CI= -1.56, -1.04). The studied students' expectation level is higher than the current quality of educational services. There is a tangible difference between their expectations and the current quality, which requires officials' efforts to improve quality in all dimensions and effective steps can be taken towards improving the quality of educational services through appropriate training planning and training for empowering employees in colleges and universities.

Comparison of patients' expectations and experiences at traditional pharmacies and pharmacies offering enhanced advanced pharmacy practice experiences.

PubMed

Kassam, Rosemin; Collins, John B; Berkowitz, Jonathan

2010-06-15

To compare patients' expectations and experiences at pharmacies offering traditional APPE learning opportunities with those offering enhanced APPEs that incorporate pharmaceutical care activities. A survey of anchored measures of patient satisfaction was conducted in 2 groups of APPE- affiliated community pharmacies: those participating in an enhanced APPE model versus those participating in the traditional model. The enhanced intervention included preceptor training, a comprehensive student orientation, and an extended experience at a single pharmacy rather than the traditional 2 x 4-week experience at different pharmacies. While patient expectations were similar in both traditional and enhanced APPE pharmacies, patients in enhanced pharmacies reported significantly higher in-store satisfaction and fewer service gaps. Additionally, satisfaction was significantly higher for patients who had received any form of consultation, from either pharmacist or students, than those reporting no consultations. Including provision of pharmaceutical care services as part of APPEs resulted in direct and measurable improvements in patient satisfaction.

Degrading, Devaluing and Discounting: The Qualifications of Overseas Trained Teachers (OTT) in England

ERIC Educational Resources Information Center

Miller, Paul

2008-01-01

Highly trained teachers from across the world come to England expecting to practise their chosen profession. These expectations are dashed, however, if their foreign credentials and work experience are not recognised as legitimate by potential employers and accreditation bodies. This type of social situation is the focus of the relative…

Applying Expectancy Theory to residency training: proposing opportunities to understand resident motivation and enhance residency training

PubMed Central

Shweiki, Ehyal; Martin, Niels D; Beekley, Alec C; Jenoff, Jay S; Koenig, George J; Kaulback, Kris R; Lindenbaum, Gary A; Patel, Pankaj H; Rosen, Matthew M; Weinstein, Michael S; Zubair, Muhammad H; Cohen, Murray J

2015-01-01

Medical resident education in the United States has been a matter of national priority for decades, exemplified initially through the Liaison Committee for Graduate Medical Education and then superseded by the Accreditation Council for Graduate Medical Education. A recent Special Report in the New England Journal of Medicine, however, has described resident educational programs to date as prescriptive, noting an absence of innovation in education. Current aims of contemporary medical resident education are thus being directed at ensuring quality in learning as well as in patient care. Achievement and work-motivation theories attempt to explain people’s choice, performance, and persistence in tasks. Expectancy Theory as one such theory was reviewed in detail, appearing particularly applicable to surgical residency training. Correlations between Expectancy Theory as a work-motivation theory and residency education were explored. Understanding achievement and work-motivation theories affords an opportunity to gain insight into resident motivation in training. The application of Expectancy Theory in particular provides an innovative perspective into residency education. Afforded are opportunities to promote the development of programmatic methods facilitating surgical resident motivation in education. PMID:25995656

Applying Expectancy Theory to residency training: proposing opportunities to understand resident motivation and enhance residency training.

PubMed

Shweiki, Ehyal; Martin, Niels D; Beekley, Alec C; Jenoff, Jay S; Koenig, George J; Kaulback, Kris R; Lindenbaum, Gary A; Patel, Pankaj H; Rosen, Matthew M; Weinstein, Michael S; Zubair, Muhammad H; Cohen, Murray J

2015-01-01

Medical resident education in the United States has been a matter of national priority for decades, exemplified initially through the Liaison Committee for Graduate Medical Education and then superseded by the Accreditation Council for Graduate Medical Education. A recent Special Report in the New England Journal of Medicine, however, has described resident educational programs to date as prescriptive, noting an absence of innovation in education. Current aims of contemporary medical resident education are thus being directed at ensuring quality in learning as well as in patient care. Achievement and work-motivation theories attempt to explain people's choice, performance, and persistence in tasks. Expectancy Theory as one such theory was reviewed in detail, appearing particularly applicable to surgical residency training. Correlations between Expectancy Theory as a work-motivation theory and residency education were explored. Understanding achievement and work-motivation theories affords an opportunity to gain insight into resident motivation in training. The application of Expectancy Theory in particular provides an innovative perspective into residency education. Afforded are opportunities to promote the development of programmatic methods facilitating surgical resident motivation in education.

Guiding the development of family medicine training in Africa through collaboration with the Medical Education Partnership Initiative.

PubMed

Mash, Robert J; de Villiers, Marietjie R; Moodley, Kalay; Nachega, Jean B

2014-08-01

Africa's health care challenges include a high burden of disease, low life expectancy, health workforce shortages, and varying degrees of commitment to primary health care on the part of policy makers and government officials. One overarching goal of the Medical Education Partnership Initiative (MEPI) is to develop models of medical education in Sub-Saharan Africa. To do this, MEPI has created a network of universities and other institutions that, among other things, recognizes the importance of supporting training programs in family medicine. This article provides a framework for assessing the stage of the development of family medicine training in Africa, including the challenges that were encountered and how educational organizations can help to address them. A modified "stages of change" model (precontemplation, contemplation, action, maintenance, and relapse) was used as a conceptual framework to understand the various phases that countries go through in developing family medicine in the public sector and to determine the type of assistance that is useful at each phase.

Drive-train dynamics technology - State-of-the-art and design of a test facility for advanced development

NASA Technical Reports Server (NTRS)

Badgley, R. H.; Fleming, D. P.; Smalley, A. J.

1975-01-01

A program for the development and verification of drive-train dynamic technology is described along with its basis and the results expected from it. A central feature of this program is a drive-train test facility designed for the testing and development of advanced drive-train components, including shaft systems, dampers, and couplings. Previous efforts in designing flexible dynamic drive-train systems are reviewed, and the present state of the art is briefly summarized. The design of the test facility is discussed with major attention given to the formulation of the test-rig concept, dynamic scaling of model shafts, and the specification of design parameters. Specific efforts envisioned for the test facility are briefly noted, including evaluations of supercritical test shafts, stability thresholds for various sources and types of instabilities that can exist in shaft systems, effects of structural flexibility on the dynamic performance of dampers, and methods for vibration control in two-level and three-level flexible shaft systems.

Understanding Aspects of Individual and Collaborative Skill Acquisition in Face-to-Face and Distance Training Situations

DTIC Science & Technology

2007-11-01

toward the end of this report was only partially funded by this grant based on the funding of one student and the use of the equipment already purchased...affect team training and performance. Introduction In most real world situations, students learn in one context (school) and then are expected to apply...Anderson, 1989), the focus has been on individuals. However, most students are expected to learn in groups and, if not, they are often expected to

Issues in Correctional Training and Casework. Correctional Monograph.

ERIC Educational Resources Information Center

Wolford, Bruce I., Ed.; Lawrenz, Pam, Ed.

The eight papers contained in this monograph were drawn from two national meetings on correctional training and casework. Titles and authors are: "The Challenge of Professionalism in Correctional Training" (Michael J. Gilbert); "A New Perspective in Correctional Training" (Jack Lewis); "Reasonable Expectations in Correctional Officer Training:…

Engineering Technician Standards.

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, Hampton, VA. Langley Research Center.

The booklet describes the program offerings, requirements, training, and pay schedules of the Langley Research Center Technician Training Program. Training schedules and the duties expected upon completion of each of the training areas are specified, along with on-the-job and academic requirements. The areas of training are: engineering draftsman,…

Predictive uncertainty in auditory sequence processing

PubMed Central

Hansen, Niels Chr.; Pearce, Marcus T.

2014-01-01

Previous studies of auditory expectation have focused on the expectedness perceived by listeners retrospectively in response to events. In contrast, this research examines predictive uncertainty—a property of listeners' prospective state of expectation prior to the onset of an event. We examine the information-theoretic concept of Shannon entropy as a model of predictive uncertainty in music cognition. This is motivated by the Statistical Learning Hypothesis, which proposes that schematic expectations reflect probabilistic relationships between sensory events learned implicitly through exposure. Using probability estimates from an unsupervised, variable-order Markov model, 12 melodic contexts high in entropy and 12 melodic contexts low in entropy were selected from two musical repertoires differing in structural complexity (simple and complex). Musicians and non-musicians listened to the stimuli and provided explicit judgments of perceived uncertainty (explicit uncertainty). We also examined an indirect measure of uncertainty computed as the entropy of expectedness distributions obtained using a classical probe-tone paradigm where listeners rated the perceived expectedness of the final note in a melodic sequence (inferred uncertainty). Finally, we simulate listeners' perception of expectedness and uncertainty using computational models of auditory expectation. A detailed model comparison indicates which model parameters maximize fit to the data and how they compare to existing models in the literature. The results show that listeners experience greater uncertainty in high-entropy musical contexts than low-entropy contexts. This effect is particularly apparent for inferred uncertainty and is stronger in musicians than non-musicians. Consistent with the Statistical Learning Hypothesis, the results suggest that increased domain-relevant training is associated with an increasingly accurate cognitive model of probabilistic structure in music. PMID:25295018

Selectively bred rat model system for low and high response to exercise training

PubMed Central

Pollott, Geoffrey E.; Britton, Steven L.

2013-01-01

We initiated a large-scale bidirectional selection experiment in a genetically heterogeneous rat population (N/NIH stock, n = 152) to develop lines of low response trainers (LRT) and high response trainers (HRT) as a contrasting animal model system. Maximal treadmill running distance [meters (m)] was tested before (DIST1) and after (DIST2) standardized aerobic treadmill training over an 8 wk period (3 exercise sessions per week). Response to training was calculated as the change in exercise capacity (ΔDIST = DIST2 − DIST1). A within-family selection and rotational breeding paradigm between 10 families was practiced for both selected lines. For the founder population, exercise training produced a 140 ± 15 m gain in exercise capacity with interindividual variation ranging from −339 to +627 m. After 15 generations of selection (n = 3,114 rats), HRT rats improved 223 ± 20 m as a result of exercise training while exercise capacity declined −65 ± 15 m in LRT rats given the same absolute training environment. The narrow-sense heritability (h2) for ΔDIST was 0.10 ± 0.02. The LRT and HRT lines did not differ significantly for body weight or intrinsic (i.e., DIST1) exercise capacity. Using pedigree records the inbreeding coefficient increased at a rate of 1.7% per generation for HRT and 1.6% per generation for LRT, ∼30% slower than expected from random mating. Animal models developed from heterogeneous stock and enriched via selection, as presented here, often generate extreme values for traits of interest and may prove more useful than current models for uncovering genetic underpinnings. PMID:23715262

Evaluation of a Trauma-Focused CBT Training Programme for IAPT services.

PubMed

Murray, Hannah

2017-09-01

Therapists in Improving Access to Psychological Therapies (IAPT) services are often expected to treat complex presentations of post-traumatic stress disorder (PTSD), such as individuals with multiple, prolonged or early life trauma histories and significant co-morbidity, for which they have received minimal training. Although high recovery rates for PTSD have been demonstrated in randomized controlled trials, these are not always replicated in routine practice, suggesting that training interventions are required to fill the research-practice gap. This study investigated the outcomes of a therapist training programme on treating PTSD with trauma-focused cognitive behavioural therapy (TF-CBT). Twenty therapists from ten IAPT services participated in the training, which consisted of workshops, webinars and consultation sessions over a 6-month period. Feedback indicated that participants found the training highly acceptable. PTSD knowledge and self- and supervisor-rated competence on TF-CBT measures improved following the training and improvements were maintained a year later. Client outcomes on a PTSD measure improved following the training. Participants reported attempts to disseminate learning from the course back to their teams. The findings indicate that the training programme was successful in improving TF-CBT knowledge, skills and outcomes for IAPT therapists. Tentative support for training 'trauma experts' within IAPT services was found, although institutional constraints and staff turnover may limit the sustainability of the model.

Practitioner Expectations and Experiences with the Certificate IV in Training and Assessment (TAA40104): Support Document

ERIC Educational Resources Information Center

Clayton, Berwyn; Meyers, Dave; Bateman, Andrea; Bluer, Robert

2010-01-01

This document supports the report "Practitioner Expectations and Experiences with the Certificate IV in Training and Assessment (TAA40104)". The first section outlines the methodology used to undertake the research and covers the design of the research, sample details, data collection processes and the strategy for data analysis and…

Downgrading and Discounting the Qualifications of Migrant Professionals in England: The Case of Overseas-Trained Teachers

ERIC Educational Resources Information Center

Miller, Paul Washington

2008-01-01

Highly trained teachers from across the world come to England expecting to practice their profession. These expectations are dashed however, if their qualifications and work experience, gained in their home countries, are not recognised as legitimate by potential employers and accreditation bodies. This type of social situation is the focus of…

Communication training improves sense of performance expectancy of public health nurses engaged in long-term elderly prevention care program.

PubMed

Tanabe, Motoko; Suzukamo, Yoshimi; Tsuji, Ichiro; Izumi, Sin-Ichi

2012-01-01

This study examines the effectiveness of a communication skill training based on a coaching theory for public health nurses (PHNs) who are engaged in Japan's long-term care prevention program. The participants in this study included 112 PHNs and 266 service users who met with these PHNs in order to create a customized care plan within one month after the PHNs' training. The participants were divided into three groups: a supervised group in which the PHNs attended the 1-day training seminar and the follow-up supervision; a seminar group attended only the 1-day training seminar; a control group. The PHNs' sense of performance expectancy, and user's satisfaction, user's spontaneous behavior were evaluated at the baseline (T1), at one month (T2), and at three months (T3) after the PHNs' training. At T3, the PHNs performed a recalled evaluation (RE) of their communication skills before the training. The PHNs' sense of performance expectancy increased significantly over time in the supervised group and the control group (F = 11.28, P < 0.001; F = 4.03, P < 0.05, resp.). The difference score between T3-RE was significantly higher in the supervised group than the control group (P < 0.01). No significant differences in the users' outcomes were found.

32 CFR 505.8 - Training requirements.

Code of Federal Regulations, 2010 CFR

2010-07-01

... PUBLIC RELATIONS ARMY PRIVACY ACT PROGRAM § 505.8 Training requirements. (a) Training. (1) The Privacy... specialists, finance officers, DOD personnel who may be expected to deal with the news media or the public...

Working Memory, Reasoning, and Task Switching Training: Transfer Effects, Limitations, and Great Expectations?

PubMed Central

Baniqued, Pauline L.; Ward, Nathan; Geyer, Alexandra; Kramer, Arthur F.

2015-01-01

Although some studies have shown that cognitive training can produce improvements to untrained cognitive domains (far transfer), many others fail to show these effects, especially when it comes to improving fluid intelligence. The current study was designed to overcome several limitations of previous training studies by incorporating training expectancy assessments, an active control group, and “Mind Frontiers,” a video game-based mobile program comprised of six adaptive, cognitively demanding training tasks that have been found to lead to increased scores in fluid intelligence (Gf) tests. We hypothesize that such integrated training may lead to broad improvements in cognitive abilities by targeting aspects of working memory, executive function, reasoning, and problem solving. Ninety participants completed 20 hour-and-a-half long training sessions over four to five weeks, 45 of whom played Mind Frontiers and 45 of whom completed visual search and change detection tasks (active control). After training, the Mind Frontiers group improved in working memory n-back tests, a composite measure of perceptual speed, and a composite measure of reaction time in reasoning tests. No training-related improvements were found in reasoning accuracy or other working memory tests, nor in composite measures of episodic memory, selective attention, divided attention, and multi-tasking. Perceived self-improvement in the tested abilities did not differ between groups. A general expectancy difference in problem-solving was observed between groups, but this perceived benefit did not correlate with training-related improvement. In summary, although these findings provide modest evidence regarding the efficacy of an integrated cognitive training program, more research is needed to determine the utility of Mind Frontiers as a cognitive training tool. PMID:26555341

Role of expected reward in frontal eye field during natural scene search

PubMed Central

Lawlor, Patrick N.; Ramkumar, Pavan; Kording, Konrad P.; Segraves, Mark A.

2016-01-01

When a saccade is expected to result in a reward, both neural activity in oculomotor areas and the saccade itself (e.g., its vigor and latency) are altered (compared with when no reward is expected). As such, it is unclear whether the correlations of neural activity with reward indicate a representation of reward beyond a movement representation; the modulated neural activity may simply represent the differences in motor output due to expected reward. Here, to distinguish between these possibilities, we trained monkeys to perform a natural scene search task while we recorded from the frontal eye field (FEF). Indeed, when reward was expected (i.e., saccades to the target), FEF neurons showed enhanced responses. Moreover, when monkeys accidentally made eye movements to the target, firing rates were lower than when they purposively moved to the target. Thus, neurons were modulated by expected reward rather than simply the presence of the target. We then fit a model that simultaneously included components related to expected reward and saccade parameters. While expected reward led to shorter latency and higher velocity saccades, these behavioral changes could not fully explain the increased FEF firing rates. Thus, FEF neurons appear to encode motivational factors such as reward expectation, above and beyond the kinematic and behavioral consequences of imminent reward. PMID:27169506

Selecting salient frames for spatiotemporal video modeling and segmentation.

PubMed

Song, Xiaomu; Fan, Guoliang

2007-12-01

We propose a new statistical generative model for spatiotemporal video segmentation. The objective is to partition a video sequence into homogeneous segments that can be used as "building blocks" for semantic video segmentation. The baseline framework is a Gaussian mixture model (GMM)-based video modeling approach that involves a six-dimensional spatiotemporal feature space. Specifically, we introduce the concept of frame saliency to quantify the relevancy of a video frame to the GMM-based spatiotemporal video modeling. This helps us use a small set of salient frames to facilitate the model training by reducing data redundancy and irrelevance. A modified expectation maximization algorithm is developed for simultaneous GMM training and frame saliency estimation, and the frames with the highest saliency values are extracted to refine the GMM estimation for video segmentation. Moreover, it is interesting to find that frame saliency can imply some object behaviors. This makes the proposed method also applicable to other frame-related video analysis tasks, such as key-frame extraction, video skimming, etc. Experiments on real videos demonstrate the effectiveness and efficiency of the proposed method.

Face validation of the Simbionix LAP Mentor virtual reality training module and its applicability in the surgical curriculum.

PubMed

Ayodeji, I D; Schijven, M; Jakimowicz, J; Greve, J W

2007-09-01

The goal of our study was to determine expert and referent face validity of the LAP Mentor, the first procedural virtual reality (VR) laparoscopy trainer. In The Netherlands 49 surgeons and surgical trainees were given a hands-on introduction to the Simbionix LAP Mentor training module. Subsequently, a standardized five-point Likert-scale questionnaire was administered. Respondents who had performed over 50 laparoscopic procedures were classified as "experts." The others constituted the "referent" group, representing nonexperts such as surgical trainees. Of the experts, 90.5% (n = 21) judge themselves to be average or above-average laparoscopic surgeons, while 88.5% of referents (n = 28) feel themselves to be less-than-average laparoscopic surgeons (p = 0.000). There is agreement between both groups on all items concerning the simulator's performance and application. Respondents feel strongly about the necessity for training on basic skills before operating on patients and unanimously agree on the importance of procedural training. A large number (87.8%) of respondents expect the LAP Mentor to enhance a trainee's laparoscopic capability, 83.7% expect a shorter laparoscopic learning curve, and 67.3% even predict reduced complication rates in laparoscopic cholecystectomies among novice surgeons. The preferred stage for implementing the VR training module is during the surgeon's residency, and 59.2% of respondents feel the surgical curriculum is incomplete without VR training. Both potential surgical trainees and trainers stress the need for VR training in the surgical curriculum. Both groups believe the LAP Mentor to be a realistic VR module, with a powerful potential for training and monitoring basic laparoscopic skills as well as full laparoscopic procedures. Simulator training is perceived to be both informative and entertaining, and enthusiasm among future trainers and trainees is to be expected. Further validation of the system is required to determine whether the performance results agree with these favorable expectations.

Athletic Training Clinical Instructors as Situational Leaders.

PubMed

Meyer, Linda Platt

2002-12-01

OBJECTIVE: To present Situational Leadership as a model that can be implemented by clinical instructors during clinical education. Effective leadership occurs when the leadership style is matched with the observed followers' characteristics. Effective leaders anticipate and assess change and adapt quickly and grow with the change, all while leading followers to do the same. As athletic training students' levels of readiness change, clinical instructors also need to transform their leadership styles and strategies to match the students' ever-changing observed needs in different situations. DATA SOURCES: CINAHL (1982-2002), MEDLINE (1990-2001), SPORT Discus (1949-2002), ERIC (1966-2002), and Internet Web sites were searched. Search terms included leadership, situational leadership, clinical instructors and leadership, teachers as leaders, and clinical education. DATA SYNTHESIS: Situational Leadership is presented as a leadership model to be used by clinical instructors while teaching and supervising athletic training students in the clinical setting. This model can be implemented to improve the clinical-education process. Situational leaders, eg, clinical instructors, must have the flexibility and range of skills to vary their leadership styles to match the challenges that occur while teaching athletic training students. CONCLUSIONS/RECOMMENDATIONS: This leadership style causes the leader to carry a substantial responsibility to lead while giving power away. Communication is one of the most important leadership skills to develop to become an effective leader. It is imperative for the future of the profession that certified athletic trainers continue to develop effective leadership skills to address the changing times in education and expectations of the athletic training profession.

Pygmalion in Media-Based Learning: Effects of Quality Expectancies on Learning Outcomes

ERIC Educational Resources Information Center

Fries, Stefan; Horz, Holger; Haimerl, Charlotte

2006-01-01

Two studies investigated how quality expectations affect students' outcomes of media-based learning. Experiment 1 (N=62) demonstrated that students expecting a high-end computer-based training programme learned most, whereas students expecting a programme of ambiguous quality learned least and students having no expectations performed in between.…

How Often and for What Purposes Apprentices Seek Help in Workplaces: A Mobile Technology-Assisted Study

ERIC Educational Resources Information Center

Gurtner, Jean-Luc; Cattaneo, Alberto; Motta, Elisa; Mauroux, Laetitia

2011-01-01

In the "dual" system of vocational training, working in company represents the major part of training. At the workplace, apprentices are expected to acquire the typical skills of their profession but, at the same time, to contribute to the production of the company. For this reason apprentices are expected to carry out activities on…

Training Valence, Instrumentality, and Expectancy Scale (T-VIES-it): Factor Structure and Nomological Network in an Italian Sample

ERIC Educational Resources Information Center

Zaniboni, Sara; Fraccaroli, Franco; Truxillo, Donald M.; Bertolino, Marilena; Bauer, Talya N.

2011-01-01

Purpose: The purpose of this study is to validate, in an Italian sample, a multidimensional training motivation measure (T-VIES-it) based on expectancy (VIE) theory, and to examine the nomological network surrounding the construct. Design/methodology/approach: Using a cross-sectional design study, 258 public sector employees in Northeast Italy…

A family systems-based model of organizational intervention.

PubMed

Shumway, Sterling T; Kimball, Thomas G; Korinek, Alan W; Arredondo, Rudy

2007-04-01

Employee assistance professionals are expected to be proficient at intervening in organizations and creating meaningful behavioral change in interpersonal functioning. Because of their training in family systems theories and concepts, marriage and family therapists (MFTs) are well suited to serve organizations as "systems consultants." Unfortunately, the authors were unable to identify any family systems-based models for organizational intervention that have been empirically tested and supported. In this article, the authors present a family systems-based model of intervention that they developed while working in an employee assistance program (EAP). They also present research that was used to refine the model and to provide initial support for its effectiveness.

Application of Bayesian Networks to hindcast barrier island morphodynamics

USGS Publications Warehouse

Wilson, Kathleen E.; Adams, Peter N.; Hapke, Cheryl J.; Lentz, Erika E.; Brenner, Owen T.

2015-01-01

We refine a preliminary Bayesian Network by 1) increasing model experience through additional observations, 2) including anthropogenic modification history, and 3) replacing parameterized wave impact values with maximum run-up elevation. Further, we develop and train a pair of generalized models with an additional dataset encompassing a different storm event, which expands the observations beyond our hindcast objective. We compare the skill of the generalized models against the Nor'Ida specific model formulation, balancing the reduced skill with an expectation of increased transferability. Results of Nor'Ida hindcasts ranged in skill from 0.37 to 0.51 and accuracy of 65.0 to 81.9%.

Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study.

PubMed

Senese, Francesca; Tubertini, Paolo; Mazzocchetti, Angelina; Lodi, Andrea; Ruozi, Corrado; Grilli, Roberto

2015-01-30

Italian regional health authorities annually negotiate the number of residency grants to be financed by the National government and the number and mix of supplementary grants to be funded by the regional budget. This study provides regional decision-makers with a requirement model to forecast the future demand of specialists at the regional level. We have developed a system dynamics (SD) model that projects the evolution of the supply of medical specialists and three demand scenarios across the planning horizon (2030). Demand scenarios account for different drivers: demography, service utilization rates (ambulatory care and hospital discharges) and hospital beds. Based on the SD outputs (occupational and training gaps), a mixed integer programming (MIP) model computes potentially effective assignments of medical specialization grants for each year of the projection. To simulate the allocation of grants, we have compared how regional and national grants can be managed in order to reduce future gaps with respect to current training patterns. The allocation of 25 supplementary grants per year does not appear as effective in reducing expected occupational gaps as the re-modulation of all regional training vacancies.

Expectations and requests regarding team training interventions to promote interdisciplinary collaboration in medical rehabilitation--A qualitative study.

PubMed

Müller, C; Plewnia, A; Becker, S; Rundel, M; Zimmermann, L; Körner, M

2015-08-19

Interdisciplinary teamwork and team interventions are highly valued in the rehabilitation sector because they can improve outcomes of care for persons with complex health problems. However, little is known about expectations and requests regarding team interventions, especially in medical rehabilitation. This study aimed to explore how clinical managers and health professionals within multidisciplinary rehabilitation teams describe their expectations and requests regarding team-training interventions in the field of medical rehabilitation. Considering the methodology of qualitative research, data were collected using semi-structured interviews and focus groups at five rehabilitation clinics in Germany. We conducted face-to-face interviews with 5 clinical managers and 13 department heads of health care teams as well as five focus groups with a total of 35 members of interdisciplinary rehabilitation teams. Afterwards, the data were analyzed through qualitative content analysis encompassing data coding and using inductive thematic analysis. The exploration of team members' and clinical managers' descriptions showed that, to them, interdisciplinary team training programs should include a wide array of training contents. Seven common core themes emerged from the interviews, including participation of employees, leadership, communication, team meetings, team composition, coordination, and equal esteem. Additionally, 13 themes were identified by either managers or team members. The body of expectations regarding team training content in healthcare spans the continuum of changes on the team and organizational levels. On the organizational level, a number of structural factors were mentioned (e.g. improving the general conditions for team meetings, organized workshops to exchange interdisciplinary experiences, and leadership training), and on the team level, changes in procedural factors were listed (e.g. optimizing the consecutive planning and coordination of patient treatments, clarity with regard to roles and responsibilities of team members, and mutual esteem and appreciation between different professions). The synthesis underscores that there is meaningful heterogeneity in team training needs; training interventions should be locally adapted for each clinic in terms of training content and training strategies. Tailored team interventions are important for rehabilitation clinics. Future work should evaluate employed team training concepts over time as well as training contents, implementation strategies, and learning outcomes. This includes using robust study designs and evaluating team-training effects.

Theta Oscillations in Visual Cortex Emerge with Experience to Convey Expected Reward Time and Experienced Reward Rate

PubMed Central

Zold, Camila L.

2015-01-01

The primary visual cortex (V1) is widely regarded as faithfully conveying the physical properties of visual stimuli. Thus, experience-induced changes in V1 are often interpreted as improving visual perception (i.e., perceptual learning). Here we describe how, with experience, cue-evoked oscillations emerge in V1 to convey expected reward time as well as to relate experienced reward rate. We show, in chronic multisite local field potential recordings from rat V1, that repeated presentation of visual cues induces the emergence of visually evoked oscillatory activity. Early in training, the visually evoked oscillations relate to the physical parameters of the stimuli. However, with training, the oscillations evolve to relate the time in which those stimuli foretell expected reward. Moreover, the oscillation prevalence reflects the reward rate recently experienced by the animal. Thus, training induces experience-dependent changes in V1 activity that relate to what those stimuli have come to signify behaviorally: when to expect future reward and at what rate. PMID:26134643

Development of Family Medicine training in Botswana: Views of key stakeholders in Ngamiland.

PubMed

Ogundipe, Radiance M; Mash, Robert

2018-08-31

Family Medicine training commenced in Botswana in 2011, and Maun was one of the two sites chosen as a training complex. If it is to be successful there has to be investment in the training programme by all stakeholders in healthcare delivery in the district. The aim of the study was to explore the attitudes of stakeholders to initiation of Family Medicine training and their perspectives on the future roles of family physicians in Ngami district, Botswana. Maun and the surrounding Ngami subdistrict of Botswana. Thirteen in-depth interviews were conducted with purposively selected key stakeholders in the district health services. Data were recorded, transcribed and analysed using the framework method. Participants welcomed the development of Family Medicine training in Maun and expect that this will result in improved quality of primary care. Participants expect the registrars and family physicians to provide holistic health care that is of higher quality and expertise than currently experienced, relevant research into the health needs of the community, and reduced need for referrals. Inadequate personal welfare facilities, erratic ancillary support services and an inadequate complement of mentors and supervisors for the programme were some of the gaps and challenges highlighted by participants. Family Medicine training is welcomed by stakeholders in Ngamiland. With proper planning introduction of the family physician in the district is expected to result in improvement of primary care.

Internship training in computer science: Exploring student satisfaction levels.

PubMed

Jaradat, Ghaith M

2017-08-01

The requirement of employability in the job market prompted universities to conduct internship training as part of their study plans. There is a need to train students on important academic and professional skills related to the workplace with an IT component. This article describes a statistical study that measures satisfaction levels among students in the faculty of Information Technology and Computer Science in Jordan. The objective of this study is to explore factors that influence student satisfaction with regards to enrolling in an internship training program. The study was conducted to gather student perceptions, opinions, preferences and satisfaction levels related to the program. Data were collected via a mixed method survey (surveys and interviews) from student-respondents. The survey collects demographic and background information from students, including their perception of faculty performance in the training poised to prepare them for the job market. Findings from this study show that students expect internship training to improve their professional and personal skills as well as to increase their workplace-related satisfaction. It is concluded that improving the internship training is crucial among the students as it is expected to enrich their experiences, knowledge and skills in the personal and professional life. It is also expected to increase their level of confidence when it comes to exploring their future job opportunities in the Jordanian market. Copyright © 2017 Elsevier Ltd. All rights reserved.

Surface Grinder Operator. Instructor's Guide. Part of Single-Tool Skills Program. Machine Industries Occupations.

ERIC Educational Resources Information Center

New York State Education Dept., Albany. Bureau of Secondary Curriculum Development.

This course, the second one to be published in what is expected to be a series of instructor's guides in the Single-Tool Skills Program, is expected to help meet the need for trained operators in metalworking and is designed for use in the adult education programs of school districts, in Manpower Development and Training Programs, and in secondary…

Leader Influences on Training Effectiveness: Motivation and Outcome Expectation Processes

ERIC Educational Resources Information Center

Scaduto, Anne; Lindsay, Douglas; Chiaburu, Dan S.

2008-01-01

Training effectiveness is a function of trainee characteristics, training design and contextual factors. Social exchanges in the work environment have received less attention compared with other training effectiveness predictors. We focus on the extent to which leaders (through their relationships and exchanges with followers) influence skill…

Leadership Perceptions of Results and Return on Investment Training Evaluations

ERIC Educational Resources Information Center

Preston, Kevin F.

2010-01-01

This study sought to validate whether the literature on high level training evaluation (level four results and level five return on investment) accurately reflected the expectations of organizational leaders regarding training evaluation reports. The researcher was interested in what high level training evaluation was being conducted at…

Training Transfer, Metacognition Skills, and Performance Outcomes in Blended versus Traditional Training Programs

ERIC Educational Resources Information Center

Giovengo, Rick D.

2014-01-01

The military instituted blended e-learning training programs to reduce manpower requirements and to lower training costs by leveraging technology, but success in this relationship has not been studied specifically. Working within theoretical constructs of motivation, expectancy, and social cognition this quasi-experimental study examined the…

Degraded neural and behavioral processing of speech sounds in a rat model of Rett syndrome

PubMed Central

Engineer, Crystal T.; Rahebi, Kimiya C.; Borland, Michael S.; Buell, Elizabeth P.; Centanni, Tracy M.; Fink, Melyssa K.; Im, Kwok W.; Wilson, Linda G.; Kilgard, Michael P.

2015-01-01

Individuals with Rett syndrome have greatly impaired speech and language abilities. Auditory brainstem responses to sounds are normal, but cortical responses are highly abnormal. In this study, we used the novel rat Mecp2 knockout model of Rett syndrome to document the neural and behavioral processing of speech sounds. We hypothesized that both speech discrimination ability and the neural response to speech sounds would be impaired in Mecp2 rats. We expected that extensive speech training would improve speech discrimination ability and the cortical response to speech sounds. Our results reveal that speech responses across all four auditory cortex fields of Mecp2 rats were hyperexcitable, responded slower, and were less able to follow rapidly presented sounds. While Mecp2 rats could accurately perform consonant and vowel discrimination tasks in quiet, they were significantly impaired at speech sound discrimination in background noise. Extensive speech training improved discrimination ability. Training shifted cortical responses in both Mecp2 and control rats to favor the onset of speech sounds. While training increased the response to low frequency sounds in control rats, the opposite occurred in Mecp2 rats. Although neural coding and plasticity are abnormal in the rat model of Rett syndrome, extensive therapy appears to be effective. These findings may help to explain some aspects of communication deficits in Rett syndrome and suggest that extensive rehabilitation therapy might prove beneficial. PMID:26321676

Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification

PubMed Central

Hou, Le; Samaras, Dimitris; Kurc, Tahsin M.; Gao, Yi; Davis, James E.; Saltz, Joel H.

2016-01-01

Convolutional Neural Networks (CNN) are state-of-the-art models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images (WSI) is currently computationally impossible. The differentiation of cancer subtypes is based on cellular-level visual features observed on image patch scale. Therefore, we argue that in this situation, training a patch-level classifier on image patches will perform better than or similar to an image-level classifier. The challenge becomes how to intelligently combine patch-level classification results and model the fact that not all patches will be discriminative. We propose to train a decision fusion model to aggregate patch-level predictions given by patch-level CNNs, which to the best of our knowledge has not been shown before. Furthermore, we formulate a novel Expectation-Maximization (EM) based method that automatically locates discriminative patches robustly by utilizing the spatial relationships of patches. We apply our method to the classification of glioma and non-small-cell lung carcinoma cases into subtypes. The classification accuracy of our method is similar to the inter-observer agreement between pathologists. Although it is impossible to train CNNs on WSIs, we experimentally demonstrate using a comparable non-cancer dataset of smaller images that a patch-based CNN can outperform an image-based CNN. PMID:27795661

"I'll stop procrastinating now!" Fostering specific processes of self-regulated learning to reduce academic procrastination.

PubMed

Grunschel, Carola; Patrzek, Justine; Klingsieck, Katrin B; Fries, Stefan

2018-01-01

Academic procrastination is considered to be a result of self-regulation failure having detrimental effects on students' well-being and academic performance. In the present study, we developed and evaluated a group training that aimed to reduce academic procrastination. We based the training on a cyclical process model of self-regulated learning, thus, focusing on improving deficient processes of self-regulated learning among academic procrastinators (e.g., time management, dealing with distractions). The training comprised five sessions and took place once a week for 90 min in groups of no more than 10 students. Overall, 106 students completed the training. We evaluated the training using a comprehensive control group design with repeated measures (three points of measurement); the control group was trained after the intervention group's training. The results showed that our training was successful. The trained intervention group significantly reduced academic procrastination and improved specific processes of self-regulated learning (e.g., time management, concentration), whereas the untrained control group showed no change regarding these variables. After the control group had also been trained, the control group also showed the expected favorable changes. The students rated the training overall as good and found it recommendable for procrastinating friends. Hence, fostering self-regulatory processes in our intervention was a successful attempt to support students in reducing academic procrastination. The evaluation of the training encourages us to adapt the training for different groups of procrastinators.

Genomic prediction based on data from three layer lines using non-linear regression models.

PubMed

Huang, Heyun; Windig, Jack J; Vereijken, Addie; Calus, Mario P L

2014-11-06

Most studies on genomic prediction with reference populations that include multiple lines or breeds have used linear models. Data heterogeneity due to using multiple populations may conflict with model assumptions used in linear regression methods. In an attempt to alleviate potential discrepancies between assumptions of linear models and multi-population data, two types of alternative models were used: (1) a multi-trait genomic best linear unbiased prediction (GBLUP) model that modelled trait by line combinations as separate but correlated traits and (2) non-linear models based on kernel learning. These models were compared to conventional linear models for genomic prediction for two lines of brown layer hens (B1 and B2) and one line of white hens (W1). The three lines each had 1004 to 1023 training and 238 to 240 validation animals. Prediction accuracy was evaluated by estimating the correlation between observed phenotypes and predicted breeding values. When the training dataset included only data from the evaluated line, non-linear models yielded at best a similar accuracy as linear models. In some cases, when adding a distantly related line, the linear models showed a slight decrease in performance, while non-linear models generally showed no change in accuracy. When only information from a closely related line was used for training, linear models and non-linear radial basis function (RBF) kernel models performed similarly. The multi-trait GBLUP model took advantage of the estimated genetic correlations between the lines. Combining linear and non-linear models improved the accuracy of multi-line genomic prediction. Linear models and non-linear RBF models performed very similarly for genomic prediction, despite the expectation that non-linear models could deal better with the heterogeneous multi-population data. This heterogeneity of the data can be overcome by modelling trait by line combinations as separate but correlated traits, which avoids the occasional occurrence of large negative accuracies when the evaluated line was not included in the training dataset. Furthermore, when using a multi-line training dataset, non-linear models provided information on the genotype data that was complementary to the linear models, which indicates that the underlying data distributions of the three studied lines were indeed heterogeneous.

42 CFR 403.740 - Condition of participation: Staffing.

Code of Federal Regulations, 2010 CFR

2010-10-01

...: Education, training, and performance evaluation. (1) The RNHCI must ensure that staff (including contractors and other individuals working under arrangement) have the necessary education and training concerning... to, training related to the individual job description, performance expectations, applicable...

Does early training improve driving skills of young novice French drivers?

PubMed

Freydier, Chloé; Berthelon, Catherine; Bastien-Toniazzo, Mireille

2016-11-01

The aim of this research was to study drivers' performances and divided attention depending on their initial training. The performances of young novice drivers who received early training, traditionally trained drivers and more experienced drivers were compared during a dual task consisting of a simulated car-following task and a number' parity judgment task. It was expected that, due to their limited driving experience, the young novice drivers would have more difficulty in adequately distributing their attention between the two tasks. Poorer performances by novice drivers than experienced drivers were therefore expected. The results indicate that traditionally trained drivers had more difficulties in speed regulation and maintaining their position in the lane than drivers with early training and experienced drivers. Performance impairment linked to driving inexperience was also found in the secondary task. The results were interpreted regarding the attentional resources involved in driving with a secondary task and supported the positive effects of French early training. Copyright © 2016 Elsevier Ltd. All rights reserved.

Development of a neural net paradigm that predicts simulator sickness

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

Allgood, G.O.

1993-03-01

A disease exists that affects pilots and aircrew members who use Navy Operational Flight Training Systems. This malady, commonly referred to as simulator sickness and whose symptomatology closely aligns with that of motion sickness, can compromise the use of these systems because of a reduced utilization factor, negative transfer of training, and reduction in combat readiness. A report is submitted that develops an artificial neural network (ANN) and behavioral model that predicts the onset and level of simulator sickness in the pilots and aircrews who sue these systems. It is proposed that the paradigm could be implemented in real timemore » as a biofeedback monitor to reduce the risk to users of these systems. The model captures the neurophysiological impact of use (human-machine interaction) by developing a structure that maps the associative and nonassociative behavioral patterns (learned expectations) and vestibular (otolith and semicircular canals of the inner ear) and tactile interaction, derived from system acceleration profiles, onto an abstract space that predicts simulator sickness for a given training flight.« less

Using perturbed handwriting to support writer identification in the presence of severe data constraints

NASA Astrophysics Data System (ADS)

Chen, Jin; Cheng, Wen; Lopresti, Daniel

2011-01-01

Since real data is time-consuming and expensive to collect and label, researchers have proposed approaches using synthetic variations for the tasks of signature verification, speaker authentication, handwriting recognition, keyword spotting, etc. However, the limitation of real data is particularly critical in the field of writer identification in that in forensics, adversaries cannot be expected to provide sufficient data to train a classifier. Therefore, it is unrealistic to always assume sufficient real data to train classifiers extensively for writer identification. In addition, this field differs from many others in that we strive to preserve as much inter-writer variations, but model-perturbed handwriting might break such discriminability among writers. Building on work described in another paper where human subjects were involved in calibrating realistic-looking transformation, we then measured the effects of incorporating perturbed handwriting into the training dataset. Experimental results justified our hypothesis that with limited real data, model-perturbed handwriting improved the performance of writer identification. Particularly, if only one single sample for each writer was available, incorporating perturbed data achieved a 36x performance gain.

Implementing a skillslab training program in a developing country.

PubMed

Tran, Trung Quang; Scherpbier, Albert; van Dalen, Jan; van Do, Dung; Wright, E Pamela

2014-01-01

Eight skills laboratories (skillslabs) were established by consensus of Vietnamese medical universities, with international support. A national list of basic skills needed for medical practice and suitable for skillslab training was developed; models, medical and teaching equipment were supplied; learning material was developed and core staff and teachers were trained. This study was designed to assess how closely eight schools in Vietnam came to implementing all recommended skills on list developed by educators of that country, and identify the facilitating factors and barriers to skillslab use within the country's largest school. Data were collected from reports from the eight skillslabs. Students and trainers from the largest university were surveyed for their perceptions of the quality of training on eight selected skills. Results of students' skill assessments were gathered, and focus group discussions with trainers were conducted. SPSS 16 was used to analyze the quantitative data and cluster analysis was used to test for differences. Only one medical school was able to train all 56 basic skills proposed by consensus among the eight Vietnamese medical universities. Deeper exploration within the largest school revealed that its skillslab training was successful for most skills, according to students' postprogram skills assessment and to students' and trainers' perceptions. However, through focus group discussions we learned that the quantity of training aids was perceived to be insufficient; some models/manikins were inappropriate for training; more consideration was needed in framing the expected requirements of students within each skill; too little time was allocated for the training of one of the eight skills investigated; and further curriculum development is needed to better integrate the skills training program into the broader curriculum. The fact that one medical school could teach all skills recommended for skillslab training demonstrates that all Vietnamese schools may be similarly able to teach the basic skills of the national consensus list. But as of now, it remains challenging for most schools in this developing country to fully implement a national skillslab training program.

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

NASA Astrophysics Data System (ADS)

Houborg, Rasmus; McCabe, Matthew F.

2018-01-01

With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory 'predictor' variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association with inherent extrapolation and transferability limitations. Explanatory VIs formed from bands in the near-infrared (NIR) and shortwave infrared domains (e.g., NDWI) were associated with the highest predictive ability, whereas Cubist models relying entirely on VIs based on NIR and red band combinations (e.g., NDVI) were associated with comparatively high uncertainties (i.e., rMAD ∼ 21%). The most transferable and best performing models were based on combinations of several predictor variables, which included both NDWI- and NDVI-like variables. In this process, prior screening of input VIs based on an assessment of variable relevance served as an effective mechanism for optimizing prediction accuracies from both Cubist and RF. While this study demonstrated benefit in combining data mining operations with physically based constraints via a hybrid training approach, the concept of transferability and portability warrants further investigations in order to realize the full potential of emerging machine-learning techniques for regression purposes.

Allocating provider resources to diagnose and treat restless legs syndrome: a cost-utility analysis.

PubMed

Padula, William V; Phelps, Charles E; Moran, Dane; Earley, Christopher

2017-10-01

Restless legs syndrome (RLS) is a neurological disorder that is frequently misdiagnosed, resulting in delays in proper treatment. The objective of this study was to analyze the cost-utility of training primary care providers (PCP) in early and accurate diagnosis of RLS. We used a Markov model to compare two strategies: one where PCPs received training to diagnose RLS (informed care) and one where PCPs did not receive training (standard care). This analysis was conducted from the US societal and health sector perspectives over one-year, five-year, and lifetime (50-year) horizons. Costs were adjusted to 2016 USD, utilities measured as quality-adjusted life-years (QALYs), and both measures were discounted annually at 3%. Cost, utilities, and probabilities for the model were obtained through a comprehensive review of literature. An incremental cost-effectiveness ratio (ICER) was calculated to interpret our findings at a willingness-to-pay threshold of $100,000/QALY. Univariate and multivariate analyses were conducted to test model uncertainty, in addition to calculating the expected value of perfect information. Providing training to PCPs to correctly diagnose RLS was cost-effective since it cost $2021 more and gained 0.44 QALYs per patient over the course of a lifetime, resulting in an ICER of $4593/QALY. The model was sensitive to the utility for treated and untreated RLS. The probabilistic sensitivity analysis revealed that at $100,000/QALY, informed care had a 65.5% probability of being cost-effective. A program to train PCPs to better diagnose RLS appears to be a cost-effective strategy for improving outcomes for RLS patients. Copyright © 2017 Elsevier B.V. All rights reserved.

Preventive practicum training in healthcare organizations. The Meharry model.

PubMed

Levine, R S; St Onge, J; Moriarty, C J; Bailey, S; Logan, T; Zhu, K; Nelson, B K; Hodder, R A; Marino, W

1999-07-01

Practicum training for preventive medicine residents often occurs in agencies whose community is geographically defined and whose governance is closely linked to public election. We were unsure about the financial ability of such departments to support training and are concerned that over-reliance on traditional health departments might not be best for either medically indigent populations or preventive medicine. We, therefore, sought to apply a public health model--based on a strategic partnership between nursing and preventive medicine--to a large health care organization. The result was formation of a mini-health department, suitable for fully accredited preventive medicine practicum training, within the Alvin C. York Veterans Affairs Medical Center, Murfreesboro, TN. This Center serves a defined population of 21,594 patients and about 1600 employees. The theoretical framework for the new department was based on demonstration of a close fit between the competencies expected of preventive medicine physicians by the American College of Preventive Medicine (ACPM) and activities required by the Joint Commission on Accreditation of Healthcare Organizations (JCAHO). Because of JCAHO requirements, many healthcare organizations already pay for preventive medicine services. By placing preventive medicine training faculty into existing budget slots at our institution, systemwide personnel costs for prevention decreased by about $36,000 per year, even as personnel funding for preventive medicine physicians increased from about $24,000 to $376,000 per year. Moreover, there was dramatic, sustained improvement in 17 indicators of preventive care quality as determined by an external peer review organization. In addition to providing a new venue for training, this model may also improve the quality and reach of preventive services, decreased fixed costs for service delivery, and yield new employment opportunities for preventive medicine physicians.

Cognitive predictors of skilled performance with an advanced upper limb multifunction prosthesis: a preliminary analysis.

PubMed

Hancock, Laura; Correia, Stephen; Ahern, David; Barredo, Jennifer; Resnik, Linda

2017-07-01

Purpose The objectives were to 1) identify major cognitive domains involved in learning to use the DEKA Arm; 2) specify cognitive domain-specific skills associated with basic versus advanced users; and 3) examine whether baseline memory and executive function predicted learning. Method Sample included 35 persons with upper limb amputation. Subjects were administered a brief neuropsychological test battery prior to start of DEKA Arm training, as well as physical performance measures at the onset of, and following training. Multiple regression models controlling for age and including neuropsychological tests were developed to predict physical performance scores. Prosthetic performance scores were divided into quartiles and independent samples t-tests compared neuropsychological test scores of advanced scorers and basic scorers. Baseline neuropsychological test scores were used to predict change in scores on physical performance measures across time. Results Cognitive domains of attention and processing speed were statistically significantly related to proficiency of DEKA Arm use and predicted level of proficiency. Conclusions Results support use of neuropsychological tests to predict learning and use of a multifunctional prosthesis. Assessment of cognitive status at the outset of training may help set expectations for the duration and outcomes of treatment. Implications for Rehabilitation Cognitive domains of attention and processing speed were significantly related to level of proficiencyof an advanced multifunctional prosthesis (the DEKA Arm) after training. Results provide initial support for the use of neuropsychological tests to predict advanced learningand use of a multifunctional prosthesis in upper-limb amputees. Results suggest that assessment of patients' cognitive status at the outset of upper limb prosthetictraining may, in the future, help patients, their families and therapists set expectations for theduration and intensity of training and may help set reasonable proficiency goals.

How large a training set is needed to develop a classifier for microarray data?

PubMed

Dobbin, Kevin K; Zhao, Yingdong; Simon, Richard M

2008-01-01

A common goal of gene expression microarray studies is the development of a classifier that can be used to divide patients into groups with different prognoses, or with different expected responses to a therapy. These types of classifiers are developed on a training set, which is the set of samples used to train a classifier. The question of how many samples are needed in the training set to produce a good classifier from high-dimensional microarray data is challenging. We present a model-based approach to determining the sample size required to adequately train a classifier. It is shown that sample size can be determined from three quantities: standardized fold change, class prevalence, and number of genes or features on the arrays. Numerous examples and important experimental design issues are discussed. The method is adapted to address ex post facto determination of whether the size of a training set used to develop a classifier was adequate. An interactive web site for performing the sample size calculations is provided. We showed that sample size calculations for classifier development from high-dimensional microarray data are feasible, discussed numerous important considerations, and presented examples.

Adaptive rehabilitation games.

PubMed

Barzilay, Ouriel; Wolf, Alon

2013-02-01

In conventional neuromuscular rehabilitation, patients are required to perform biomechanical exercises to recover their neuromotor abilities. These physiotherapeutic tasks are defined by the physiotherapist, according to his estimate of the patient's pathologic neuromotor function. The definition of the task is mainly qualitative and it is often merely demonstrated to the patient as a gesture to reproduce. Success of the treatment relies then on the accuracy and repetition of the motor training. We propose a novel approach to neuromotor training by combining the advantages of a virtual reality platform with biofeedback information on the training subject from biometric equipment and with the computational power of artificial neural networks. In a calibration stage, the subject performs motor training on a known task to train the network. Once trained, the tuned network generates a new patient-specific task, based on the definition of the subject's expected performance dictated by the therapist. The system was tested for upper limb rehabilitation on healthy subjects. We measured a 33% improvement in the triceps performance (p = 0.027). The novelty of the proposed approach lies in its use of learning systems to the estimation of biological models. Copyright © 2012 Elsevier Ltd. All rights reserved.

Developing the Learning Climate in Public Sector Training Programs.

ERIC Educational Resources Information Center

Sims, Ronald R.

1992-01-01

A psychological contract is a set of unwritten reciprocal expectations between trainee and training program. Public agency trainers must establish and manage psychological contracts through clearly defined objectives and development of a learning climate that leads to effective training. (SK)

Cost-utility analysis of an advanced pressure ulcer management protocol followed by trained wound, ostomy, and continence nurses.

PubMed

Kaitani, Toshiko; Nakagami, Gojiro; Iizaka, Shinji; Fukuda, Takashi; Oe, Makoto; Igarashi, Ataru; Mori, Taketoshi; Takemura, Yukie; Mizokami, Yuko; Sugama, Junko; Sanada, Hiromi

2015-01-01

The high prevalence of severe pressure ulcers (PUs) is an important issue that requires to be highlighted in Japan. In a previous study, we devised an advanced PU management protocol to enable early detection of and intervention for deep tissue injury and critical colonization. This protocol was effective for preventing more severe PUs. The present study aimed to compare the cost-effectiveness of the care provided using an advanced PU management protocol, from a medical provider's perspective, implemented by trained wound, ostomy, and continence nurses (WOCNs), with that of conventional care provided by a control group of WOCNs. A Markov model was constructed for a 1-year time horizon to determine the incremental cost-effectiveness ratio of advanced PU management compared with conventional care. The number of quality-adjusted life-years gained, and the cost in Japanese yen (¥) ($US1 = ¥120; 2015) was used as the outcome. Model inputs for clinical probabilities and related costs were based on our previous clinical trial results. Univariate sensitivity analyses were performed. Furthermore, a Bayesian multivariate probability sensitivity analysis was performed using Monte Carlo simulations with advanced PU management. Two different models were created for initial cohort distribution. For both models, the expected effectiveness for the intervention group using advanced PU management techniques was high, with a low expected cost value. The sensitivity analyses suggested that the results were robust. Intervention by WOCNs using advanced PU management techniques was more effective and cost-effective than conventional care. © 2015 by the Wound Healing Society.

Specific efficacy expectations mediate exercise compliance in patients with COPD.

PubMed

Kaplan, R M; Atkins, C J; Reinsch, S

1984-01-01

Social learning theory has generated two different approaches for the assessment of expectancies. Bandura argues that expectancies are specific and do not generalize. Therefore, he prefers measures of specific efficacy expectations. Others endorse the role of generalized expectancies measured by locus of control scales. The present study examines specific versus generalized expectancies as mediators of changes in exercise behavior among 60 older adult patients with Chronic Obstructive Pulmonary Disease. The patients were given a prescription to increase exercise and randomly assigned to experimental groups or control groups. All groups received attention but only experimental groups received training to increase their exercise. After 3 months, groups given specific training for compliance with walking significantly increased their activity in comparison to the control group receiving only attention. These changes were mediated by changes in perceived efficacy for walking, with efficacy expectations for other behaviors changing as a function of their similarity to walking. A generalized health locus of control expectancy measure was less clearly associated with behavior change. The results are interpreted as supporting Bandura's version of social theory.

Design a Learning-Oriented Fall Event Reporting System Based on Kirkpatrick Model.

PubMed

Zhou, Sicheng; Kang, Hong; Gong, Yang

2017-01-01

Patient fall has been a severe problem in healthcare facilities around the world due to its prevalence and cost. Routine fall prevention training programs are not as effective as expected. Using event reporting systems is the trend for reducing patient safety events such as falls, although some limitations of the systems exist at current stage. We summarized these limitations through literature review, and developed an improved web-based fall event reporting system. The Kirkpatrick model, widely used in the business area for training program evaluation, has been integrated during the design of our system. Different from traditional event reporting systems that only collect and store the reports, our system automatically annotates and analyzes the reported events, and provides users with timely knowledge support specific to the reported event. The paper illustrates the design of our system and how its features are intended to reduce patient falls by learning from previous errors.

Detection of Cheating by Decimation Algorithm

NASA Astrophysics Data System (ADS)

Yamanaka, Shogo; Ohzeki, Masayuki; Decelle, Aurélien

2015-02-01

We expand the item response theory to study the case of "cheating students" for a set of exams, trying to detect them by applying a greedy algorithm of inference. This extended model is closely related to the Boltzmann machine learning. In this paper we aim to infer the correct biases and interactions of our model by considering a relatively small number of sets of training data. Nevertheless, the greedy algorithm that we employed in the present study exhibits good performance with a few number of training data. The key point is the sparseness of the interactions in our problem in the context of the Boltzmann machine learning: the existence of cheating students is expected to be very rare (possibly even in real world). We compare a standard approach to infer the sparse interactions in the Boltzmann machine learning to our greedy algorithm and we find the latter to be superior in several aspects.

Testing a model of research intention among U.K. clinical psychologists: a logistic regression analysis.

PubMed

Eke, Gemma; Holttum, Sue; Hayward, Mark

2012-03-01

Previous research highlights barriers to clinical psychologists conducting research, but has rarely examined U.K. clinical psychologists. The study investigated U.K. clinical psychologists' self-reported research output and tested part of a theoretical model of factors influencing their intention to conduct research. Questionnaires were mailed to 1,300 U.K. clinical psychologists. Three hundred and seventy-four questionnaires were returned (29% response-rate). This study replicated in a U.K. sample the finding that the modal number of publications was zero, highlighted in a number of U.K. and U.S. studies. Research intention was bimodally distributed, and logistic regression classified 78% of cases successfully. Outcome expectations, perceived behavioral control and normative beliefs mediated between research training environment and intention. Further research should explore how research is negotiated in clinical roles, and this issue should be incorporated into prequalification training. © 2012 Wiley Periodicals, Inc.

Facilitating LOS Debriefings: A Training Manual

NASA Technical Reports Server (NTRS)

McDonnell, Lori K.; Jobe, Kimberly K.; Dismukes, R. Key

1997-01-01

This manual is a practical guide to help airline instructors effectively facilitate debriefings of Line Oriented Simulations (LOS). It is based on a recently completed study of Line Oriented Flight Training (LOFT) debriefings at several U.S. airlines. This manual presents specific facilitation tools instructors can use to achieve debriefing objectives. The approach of the manual is to be flexible so it can be tailored to the individual needs of each airline. Part One clarifies the purpose and objectives of facilitation in the LOS setting. Part Two provides recommendations for clarifying roles and expectations and presents a model for organizing discussion. Part Tree suggests techniques for eliciting active crew participation and in-depth analysis and evaluation. Finally, in Part Four, these techniques are organized according to the facilitation model. Examples of how to effectively use the techniques are provided throughout, including strategies to try when the debriefing objectives are not being fully achieved.

Antecedents of ethical decision-making: intercollegiate sporting environments as clinical education and practice settings.

PubMed

Caswell, Shane V; Ambegaonkar, Jatin P; Caswell, Amanda M; Gould, Trenton E

2009-01-01

Unique among allied health care professions, athletic training is predominately practiced amid competitive intercollegiate sports. Competitive sporting environments have been suggested to adversely impact morality, ethical decision-making (EDM), and behavior. The purposes of this study were to (1) investigate the effect of institutional National Collegiate Athletic Association (NCAA) participation level on preferred ethical ideologies and EDM, (2) determine the relationship between professional status (athletic training student [ATS] or certified athletic trainer [ATC]) and ethical ideology preferences and EDM, and (3) examine whether preferred ethical ideology is related to differences in EDM. A nationally representative sample of 610 ATSs and ATCs from 30 athletic training education programs, stratified by NCAA division level, participated in the study. All participants completed a demographic survey, the Ethics Position Questionnaire, and the Dilemmas in Athletic Training Questionnaire. No significant relationships were noted between NCAA participation level and respondents' ethical ideology preferences. However, ATSs and ATCs demonstrated significant preferences for specific ethical ideologies, with students adopting the subjectivist ideology more than expected and the exceptionist ideology less than expected and ATCs adopting the exceptionist ideology more than expected and the situationist ideology less than expected. In contrast to some previous research, our results suggest that competitive sporting environments do not affect ATSs' and ATCs' ethical ideology and EDM abilities at the collegiate level. These findings serve as a baseline for future research examining the ethical ideologies and ethical decision-making levels of athletic training practitioners and other allied health professionals across clinical settings.

Expect With Me: development and evaluation design for an innovative model of group prenatal care to improve perinatal outcomes.

PubMed

Cunningham, Shayna D; Lewis, Jessica B; Thomas, Jordan L; Grilo, Stephanie A; Ickovics, Jeannette R

2017-05-18

Despite biomedical advances and intervention efforts, rates of preterm birth and other adverse outcomes in the United States have remained relatively intransigent. Evidence suggests that group prenatal care can reduce these risks, with implications for maternal and child health as well as substantial cost savings. However, widespread dissemination presents challenges, in part because training and health systems have not been designed to deliver care in a group setting. This manuscript describes the design and evaluation of Expect With Me, an innovative model of group prenatal care with a strong integrated information technology (IT) platform designed to be scalable nationally. Expect With Me follows clinical guidelines from the American Congress of Obstetricians and Gynecologists. Expect With Me incorporates the best evidence-based features of existing models of group care with a novel integrated IT platform designed to improve patient engagement and support, enhance health behaviors and decision making, connect providers and patients, and improve health service delivery. A multisite prospective longitudinal cohort study is being conducted to examine the impact of Expect With Me on perinatal and postpartum outcomes, and to identify and address barriers to national scalability. Process and outcome evaluation will include quantitative and qualitative data collection at patient, provider, and organizational levels. Mixed-method data collection includes patient surveys, medical record reviews, patient focus groups; provider surveys, session evaluations, provider focus groups and in-depth interviews; an online tracking system; and clinical site visits. A two-to-one matched cohort of women receiving individual care from each site will provide a comparison group (n = 1,000 Expect With Me patients; n = 2,000 individual care patients) for outcome and cost analyses. By bundling prevention and care services into a high-touch, high-tech group prenatal care model, Expect With Me has the potential to result in fundamental changes to the health care system to meet the "triple aim:" better healthcare quality, improved outcomes, and lower costs. Findings from this study will be used to optimize the dissemination and effectiveness of this model. ClinicalTrials.gov, NCT02169024 . Retrospectively registered on June 18, 2014.

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.

Development and validation of a risk model for long-term mortality after percutaneous coronary intervention: The IDEA-BIO Study.

PubMed

van Boven, Nick; van Domburg, Ron T; Kardys, Isabella; Umans, Victor A; Akkerhuis, K Martijn; Lenzen, Mattie J; Valgimigli, Marco; Daemen, Joost; Zijlstra, Felix; Boersma, Eric; van Geuns, Robert-Jan

2018-03-01

We aimed to develop a model to predict long-term mortality after percutaneous coronary intervention (PCI), to aid in selecting patients with sufficient life expectancy to benefit from bioabsorbable scaffolds. Clinical trials are currently designed to demonstrate superiority of bioabsorbable scaffolds over metal devices up to 5 years after implantation. From 2000 to 2011, 19.532 consecutive patients underwent PCI in a tertiary referral hospital. Patients were randomly (2:1) divided into a training (N = 13,090) and validation (N = 6,442) set. Cox regression was used to identify determinants of long-term mortality in the training set and used to develop a risk model. Model performance was studied in the training and validation dataset. Median age was 63 years (IQR 54-72) and 72% were men. Median follow-up was 3.6 years (interquartile range [IQR] 2.4-6.8). The ratio elective vs. non-elective PCIs was 42/58. During 88,620 patient-years of follow-up, 3,156 deaths occurred, implying an incidence rate of 35.6 per 1,000. Estimated 5-year mortality was 12.9%.Regression analysis revealed age, body mass index, diabetes mellitus, renal insufficiency, prior myocardial infarction, PCI indication, lesion location, number of diseased vessels and cardiogenic shock at presentation as determinants of mortality. The long-term risk model showed good discrimination in the training and validation sets (c-indices 0.76 and 0.74), whereas calibration was appropriate. A simple risk model, containing 9 baseline clinical and angiographic variables effectively predicts long-term mortality after PCI and may possibly be used to select suitable patients for bioabsorbable scaffolds. © 2017 Wiley Periodicals, Inc.

"If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music

PubMed Central

Vuust, Peter; Pearce, Marcus

2016-01-01

Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity and sensitivity for other methodological limitations. This study aimed to experimentally dissociate the effects of specialised stylistic training and general musical expertise on the perception of melodies. Non-musicians and professional musicians specialising in classical music or jazz listened to sampled renditions of saxophone solos improvised by Charlie Parker in the bebop style. Ratings of explicit uncertainty and expectedness for different continuations of each melodic excerpt were collected. An information-theoretic model of expectation enabled selection of stimuli affording highly certain continuations in the bebop style, but highly uncertain continuations in the context of general tonal expectations, and vice versa. The results showed that expert musicians have acquired probabilistic characteristics of music influencing their experience of expectedness and predictive uncertainty. While classical musicians had internalised key aspects of the bebop style implicitly, only jazz musicians’ explicit uncertainty ratings reflected the computational estimates, and jazz-specific expertise modulated the relationship between explicit and inferred uncertainty data. In spite of this, there was no evidence that non-musicians and classical musicians used a stylistically irrelevant cognitive model of general tonal music providing support for the theory of cognitive firewalls between stylistic models in predictive processing of music. PMID:27732612

"If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music.

PubMed

Hansen, Niels Chr; Vuust, Peter; Pearce, Marcus

2016-01-01

Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity and sensitivity for other methodological limitations. This study aimed to experimentally dissociate the effects of specialised stylistic training and general musical expertise on the perception of melodies. Non-musicians and professional musicians specialising in classical music or jazz listened to sampled renditions of saxophone solos improvised by Charlie Parker in the bebop style. Ratings of explicit uncertainty and expectedness for different continuations of each melodic excerpt were collected. An information-theoretic model of expectation enabled selection of stimuli affording highly certain continuations in the bebop style, but highly uncertain continuations in the context of general tonal expectations, and vice versa. The results showed that expert musicians have acquired probabilistic characteristics of music influencing their experience of expectedness and predictive uncertainty. While classical musicians had internalised key aspects of the bebop style implicitly, only jazz musicians' explicit uncertainty ratings reflected the computational estimates, and jazz-specific expertise modulated the relationship between explicit and inferred uncertainty data. In spite of this, there was no evidence that non-musicians and classical musicians used a stylistically irrelevant cognitive model of general tonal music providing support for the theory of cognitive firewalls between stylistic models in predictive processing of music.

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

Hall, D; Trofimov, A; Winey, B

Purpose: We developed a knowledge-based model that can predict the patient-specific benefits of proton therapy based upon geometric considerations. The model could also aid patient selection in model-based clinical trials or help justify clinical decisions to insurance companies. Methods: The knowledge-based method trains a model upon existing proton treatment plans, exploiting correlations between dose and distance-to-target. Each OAR is split into concentric subvolumes surrounding the target volume, and a skew-normal PDF is fit to the dose distribution found within each shell. The model learns from shared trends in how the best-fit skew-normal parameters depend upon distance-to-target. It can then predictmore » feasible OAR DVHs for a new patient (without a proton plan) based upon their geometry. The expected benefits of proton therapy are assessed by comparing the predicted DVHs to those of an IMRT plan, using a metric such as the equivalent uniform dose (EUD). Results: A model was trained for clival chordoma, owing to its geometric complexity and the multitude of nearby OARs. The model was trained using 20 patients and validated with a further 20 patients, and considers several different OARs. The predicted EUD was in good agreement with that of the actual proton plan. The coefficient of determination (R-squared) was 85% overall, 92% for cochleas, 80% for optic chiasm and 79% for spinal cord. The model exhibited no signs of bias or overfitting. When compared to an IMRT plan, the model could classify whether a patient will experience a gain or a loss with an accuracy between 75% and 95%, depending upon the OAR. Conclusion: We developed a model that can quickly and accurately predict the patient-specific benefits of proton therapy in clival chordoma patients, though models could be trained for other tumor sites. This work is funded by National Cancer Institute grant U19 CA 021239.« less

Inattention blindness to motion in area MT

PubMed Central

Harrison, Ian T.; Weiner, Katherine F.; Ghose, Geoffrey M.

2013-01-01

Subjects naturally form and use expectations to solve familiar tasks, but the accuracy of these expectations, and the neuronal mechanisms by which these expectations enhance behavior, are unclear. We trained animals (Macaca mulatta) in a challenging perceptual task in which the likelihood of a very brief pulse of motion was consistently modulated over time and space. Pulse likelihood had dramatic effects on behavior: unexpected pulses were nearly invisible to the animals. To examine the neuronal basis of such inattention blindness, we recorded from single neurons in the middle temporal (MT) area, an area related to motion perception. Fluctuations in how reliably MT neurons both signaled stimulus events and predicted behavioral choices were highly correlated with changes in performance over the course of individual trials. A simple neuronal pooling model reveals the dramatic behavioral effects of attention in this task can be completely explained by changes in the reliability of a small number of MT neurons. PMID:23658178

Characterization of Used Nuclear Fuel with Multivariate Analysis for Process Monitoring

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

Dayman, Kenneth J.; Coble, Jamie B.; Orton, Christopher R.

2014-01-01

The Multi-Isotope Process (MIP) Monitor combines gamma spectroscopy and multivariate analysis to detect anomalies in various process streams in a nuclear fuel reprocessing system. Measured spectra are compared to models of nominal behavior at each measurement location to detect unexpected changes in system behavior. In order to improve the accuracy and specificity of process monitoring, fuel characterization may be used to more accurately train subsequent models in a full analysis scheme. This paper presents initial development of a reactor-type classifier that is used to select a reactor-specific partial least squares model to predict fuel burnup. Nuclide activities for prototypic usedmore » fuel samples were generated in ORIGEN-ARP and used to investigate techniques to characterize used nuclear fuel in terms of reactor type (pressurized or boiling water reactor) and burnup. A variety of reactor type classification algorithms, including k-nearest neighbors, linear and quadratic discriminant analyses, and support vector machines, were evaluated to differentiate used fuel from pressurized and boiling water reactors. Then, reactor type-specific partial least squares models were developed to predict the burnup of the fuel. Using these reactor type-specific models instead of a model trained for all light water reactors improved the accuracy of burnup predictions. The developed classification and prediction models were combined and applied to a large dataset that included eight fuel assembly designs, two of which were not used in training the models, and spanned the range of the initial 235U enrichment, cooling time, and burnup values expected of future commercial used fuel for reprocessing. Error rates were consistent across the range of considered enrichment, cooling time, and burnup values. Average absolute relative errors in burnup predictions for validation data both within and outside the training space were 0.0574% and 0.0597%, respectively. The errors seen in this work are artificially low, because the models were trained, optimized, and tested on simulated, noise-free data. However, these results indicate that the developed models may generalize well to new data and that the proposed approach constitutes a viable first step in developing a fuel characterization algorithm based on gamma spectra.« less

Low-noise encoding of active touch by layer 4 in the somatosensory cortex.

PubMed

Hires, Samuel Andrew; Gutnisky, Diego A; Yu, Jianing; O'Connor, Daniel H; Svoboda, Karel

2015-08-06

Cortical spike trains often appear noisy, with the timing and number of spikes varying across repetitions of stimuli. Spiking variability can arise from internal (behavioral state, unreliable neurons, or chaotic dynamics in neural circuits) and external (uncontrolled behavior or sensory stimuli) sources. The amount of irreducible internal noise in spike trains, an important constraint on models of cortical networks, has been difficult to estimate, since behavior and brain state must be precisely controlled or tracked. We recorded from excitatory barrel cortex neurons in layer 4 during active behavior, where mice control tactile input through learned whisker movements. Touch was the dominant sensorimotor feature, with >70% spikes occurring in millisecond timescale epochs after touch onset. The variance of touch responses was smaller than expected from Poisson processes, often reaching the theoretical minimum. Layer 4 spike trains thus reflect the millisecond-timescale structure of tactile input with little noise.

Compound Stimulus Presentation Does Not Deepen Extinction in Human Causal Learning

PubMed Central

Griffiths, Oren; Holmes, Nathan; Westbrook, R. Fred

2017-01-01

Models of associative learning have proposed that cue-outcome learning critically depends on the degree of prediction error encountered during training. Two experiments examined the role of error-driven extinction learning in a human causal learning task. Target cues underwent extinction in the presence of additional cues, which differed in the degree to which they predicted the outcome, thereby manipulating outcome expectancy and, in the absence of any change in reinforcement, prediction error. These prediction error manipulations have each been shown to modulate extinction learning in aversive conditioning studies. While both manipulations resulted in increased prediction error during training, neither enhanced extinction in the present human learning task (one manipulation resulted in less extinction at test). The results are discussed with reference to the types of associations that are regulated by prediction error, the types of error terms involved in their regulation, and how these interact with parameters involved in training. PMID:28232809

Chaplain Documentation and the Electronic Medical Record: A Survey of ACPE Residency Programs.

PubMed

Tartaglia, Alexander; Dodd-McCue, Diane; Ford, Timothy; Demm, Charles; Hassell, Alma

2016-01-01

This study explores the extent to which chaplaincy departments at ACPE-accredited residency programs make use of the electronic medical record (EMR) for documentation and training. Survey data solicited from 219 programs with a 45% response rate and interview findings from 11 centers demonstrate a high level of usage of the EMR as well as an expectation that CPE residents document each patient/family encounter. Centers provided considerable initial training, but less ongoing monitoring of chaplain documentation. Centers used multiple sources to develop documentation tools for the EMR. One center was verified as having created the spiritual assessment component of the documentation tool from a peer reviewed published model. Interviews found intermittent use of the student chart notes for educational purposes. One center verified a structured manner of monitoring chart notes as a performance improvement activity. Findings suggested potential for the development of a standard documentation tool for chaplain charting and training.

Effectiveness of social skills training for reduction of self-perceived stigma in leprosy patients in rural India--a preliminary study.

PubMed

Augustine, Valsa; Longmore, Miriam; Ebenezer, Mannam; Richard, Joseph

2012-03-01

To assess the effectiveness of social skills training in leprosy patients to raise self-esteem and reduce self-perceived stigma. Five leprosy patients were given 10 day-long group-sessions of social skills training over 3 weeks. Training involved: identification of the emotions and concerns of patients when interacting socially; analysis of positive and negative social interactions and non-verbal and verbal skills training. Role-plays, videos and live models were used. Self-esteem and a reduction in self-perceived stigma were assessed qualitatively before and after training using semi-structured interviews. Assessment of change was scored under the indicators: self-perception, family, wider community and job. Patients were assessed for displaying new ways of interacting with people and changes in expectations for the future. Qualitative analysis of the interviews before and after training suggested that social skills training could raise the self-esteem of leprosy patients and combat self-perceived stigma. Increase in self-esteem, as evident through the verbal interactions with the interviewers and behavioural changes in the community, were noted in the majority of patients. Social skills training along with counseling may be able to increase the self-esteem of leprosy patients, and so be a useful part of leprosy rehabilitation schemes to try and combat the stigma of leprosy.

Athletic Training Clinical Instructors as Situational Leaders

PubMed Central

Meyer, Linda Platt

2002-01-01

Objective: To present Situational Leadership as a model that can be implemented by clinical instructors during clinical education. Effective leadership occurs when the leadership style is matched with the observed followers' characteristics. Effective leaders anticipate and assess change and adapt quickly and grow with the change, all while leading followers to do the same. As athletic training students' levels of readiness change, clinical instructors also need to transform their leadership styles and strategies to match the students' ever-changing observed needs in different situations. Data Sources: CINAHL (1982–2002), MEDLINE (1990–2001), SPORT Discus (1949–2002), ERIC (1966–2002), and Internet Web sites were searched. Search terms included leadership, situational leadership, clinical instructors and leadership, teachers as leaders, and clinical education. Data Synthesis: Situational Leadership is presented as a leadership model to be used by clinical instructors while teaching and supervising athletic training students in the clinical setting. This model can be implemented to improve the clinical-education process. Situational leaders, eg, clinical instructors, must have the flexibility and range of skills to vary their leadership styles to match the challenges that occur while teaching athletic training students. Conclusions/Recommendations: This leadership style causes the leader to carry a substantial responsibility to lead while giving power away. Communication is one of the most important leadership skills to develop to become an effective leader. It is imperative for the future of the profession that certified athletic trainers continue to develop effective leadership skills to address the changing times in education and expectations of the athletic training profession. PMID:12937555

Interpersonal Assessment of Future School Psychologists.

ERIC Educational Resources Information Center

Dixon, Robert J.

The roles and expectations of school psychologists are expanding. Practitioners are increasingly being asked to move beyond the testing expectations to provide effective counseling and consultation interventions. Training programs are expected to create balanced, functioning practitioners who will make positive impacts on children's lives. This…

Cynthia Szydlek | NREL

Science.gov Websites

Cynthia Szydlek Photo of Cynthia Szydlek Cynthia Szydlek NWTC Training Coordinator/Project Support increased safety expectations and comply with comprehensive training requirements. She maintains the NWTC's Environmental, Health, and Safety (EHS) training and safety management systems and ensures all critical on-site

INDOT Technical Training Plan : [Technical Summary

DOT National Transportation Integrated Search

2012-01-01

A wide range of job classifications, increasing technical : performance expectations, licensing and certification requirements, : budget restrictions and frequent department : reorganization has made technical training of employees : more difficult, ...

Views regarding the training of ethics consultants: a survey of physicians caring for patients in ICU

PubMed Central

Chwang, Eric; Landy, David C; Sharp, Richard R

2007-01-01

Background Despite the expansion of ethics consultation services, questions remain about the aims of clinical ethics consultation, its methods and the expertise of those who provide such services. Objective To describe physicians' expectations regarding the training and skills necessary for ethics consultants to contribute effectively to the care of patients in intensive care unit (ICU). Design Mailed survey. Participants Physicians responsible for the care of at least 10 patients in ICU over a 6‐month period at a 921‐bed private teaching hospital with an established ethics consultation service. 69 of 92 (75%) eligible physicians responded. Measurements Importance of specialised knowledge and skills for ethics consultants contributing to the care of patients in ICU; need for advanced disciplinary training; expectations regarding formal‐training programmes for ethics consultants. Results Expertise in ethics was described most often as important for ethics consultants taking part in the care of patients in ICU, compared with expertise in law (p<0.03), religious traditions (p<0.001), medicine (p<0.001) and conflict‐mediation techniques (p<0.001). When asked about the formal training consultants should possess, however, physicians involved in the care of patients in ICU most often identified advanced medical training as important. Conclusions Although many physicians caring for patients in ICU believe ethics consultants must possess non‐medical expertise in ethics and law if they are to contribute effectively to patient care, these physicians place a very high value on medical training as well, suggesting a “medicine plus one” view of the training of an ideal ethics consultant. As ethics consultation services expand, clear expectations regarding the training of ethics consultants should be established. PMID:17526680

Online Video-Based Training in the Use of Hydrologic Models: A Case Example Using SWAT

NASA Astrophysics Data System (ADS)

Frankenberger, J.

2009-12-01

Hydrologic models are increasingly important tools in public decision-making. For example, watershed models are used to develop Total Maximum Daily Load (TMDL) plans, quantify pollutant loads, and estimate the effects of watershed restoration efforts funded by the public. One widely-used tool is the Soil and Water Assessment Tool (SWAT), which has been applied by state and federal agencies, consultants, and university researchers to assess sources of nonpoint source pollution and the effects of potential solutions, and used in testimony in at least one lawsuit. The SWAT model has the capability to evaluate the relative effects of different management scenarios on water quality, sediment, and agricultural chemical yield at the watershed scale. As with all models, the model user and the decisions that s/he makes in the modeling process are important determinants of model performance. The SWAT model has an open structure, leaving most decisions up to the model user, which was especially appropriate when the model was primarily used in research by highly-experienced modelers. However, as the model has become more widely applied in planning and assessment, by people who may have limited hydrology background and modeling knowledge, the possibility that users may be using the model inconsistently or even incorrectly becomes a concern. Consistent training can lead to a minimum standard of knowledge that model users are expected to have, and therefore to higher use of best practices in modeling efforts. In addition, widespread availability of training can lead to better decisions about when and where using the model is appropriate, and what level of data needs to be available for confidence in predictions. Currently, most training in model use takes place in occasional face-to-face workshops, courses offered at a few universities, and a short tutorial available in the manual. Many new users simply acquire the model and learn from the manual, other users, trial and error, and posing questions to the web-based group. Although excellent model documentation is available (http://www.brc.tamus.edu/swat/), the extent to which users conduct careful study to ensure that their understanding goes beyond the superficial level is unknown. Online video-on-demand technology provides a way for users to learn consistent content while saving travel resources, and allows for training to fit into people’s schedule. Online videos were created to teach the basics of setting up the model, acquiring input data, parameterizing, calibrating and evaluating model results, and analyzing outputs, as well as model science, uncertainty, and appropriate use. Feedback was sought from the SWAT modeling community to determine typical backgrounds of model users and how the video training fits into the available means of learning SWAT. Evaluation is being undertaken to assess results. The processes used in developing and evaluating the online SWAT training could be applied to other computer models for which use among broader groups of people is increasing or has the potential to grow.

The Investigation of Laparoscopic Instrument Movement Control and Learning Effect

PubMed Central

Lin, Chiuhsiang Joe

2013-01-01

Laparoscopic surgery avoids large incisions for intra-abdominal operations as required in conventional open surgery. Whereas the patient benefits from laparoscopic techniques, the surgeon encounters new difficulties that were not present during open surgery procedures. However, limited literature has been published in the essential movement characteristics such as magnification, amplitude, and angle. For this reason, the present study aims to investigate the essential movement characteristics of instrument manipulation via Fitts' task and to develop an instrument movement time predicting model. Ten right-handed subjects made discrete Fitts' pointing tasks using a laparoscopic trainer. The experimental results showed that there were significant differences between the three factors in movement time and in throughput. However, no significant differences were observed in the improvement rate for movement time and throughput between these three factors. As expected, the movement time was rather variable and affected markedly by direction to target. The conventional Fitts' law model was extended by incorporating a directional parameter into the model. The extended model was shown to better fit the data than the conventional model. These findings pointed to a design direction for the laparoscopic surgery training program, and the predictive model can be used to establish standards in the training procedure. PMID:23984348

[Surgeons training: today as always?].

PubMed

Jesus, Lisieux Eyer de

2009-12-01

This paper proposes to discuss the training methodologies for young surgeons, considering the modern needs, by discussing their expectations and the reality of the surgeons' job market nowadays. Scientific and technological novelties, the huge amount of information imposed daily, managerial interventions and cost issues modified radically the activities of the surgeons, especially if compared to classical conceptions. Recent re-readings of the classical ethical postulates demand a new behavior of the doctors concerning the patients and the society per se. Contemporaneous social culture bring about individual expectations concerning quality of life and professional perspective issues. It becomes necessary to modify the training methods for surgeons to make them adequate to the need of continuous learning and adaptation to new technological instruments. They also should adapt to social interactions with the patients and the other health professionals that fit nowadays expectations. Those structural adaptations are fundamental to maintain the interest of the new professionals in the area of surgery.

Medical Students Learning Communication Skills in a Second Language: Empathy and expectations.

PubMed

Hashim, Muhammad J; Major, Stella; Mirza, Deen M; Prinsloo, Engela A M; Osman, Ossama; Amiri, Leena; McLean, Michelle

2013-02-01

Communications skills (CS) training for medical interviewing is increasingly being conducted in English at medical schools worldwide. In this study, we sought to identify whether Arabic-speaking medical students experienced difficulty with the different components of the CS training that were conducted in English. Individual third-year preclinical medical students (N = 45) were videotaped while interviewing simulated patients. Each student assessed his/her performance on a 13-item (5-point scale) assessment form, which was also completed by the tutor and other students in the group. Of the 13 components of their CS training, tutors awarded the lowest marks for students' abilities to express empathy, ask about patients' feelings, use transition statements, ask about functional impact, and elicit patients' expectations (P <0.001). The expression of empathy and the ability to elicit patients' feelings and expectations are difficult to develop in medical students learning CS in a second language.

On the validity and generality of transfer effects in cognitive training research.

PubMed

Noack, Hannes; Lövdén, Martin; Schmiedek, Florian

2014-11-01

Evaluation of training effectiveness is a long-standing problem of cognitive intervention research. The interpretation of transfer effects needs to meet two criteria, generality and specificity. We introduce each of the two, and suggest ways of implementing them. First, the scope of the construct of interest (e.g., working memory) defines the expected generality of transfer effects. Given that the constructs of interest are typically defined at the latent level, data analysis should also be conducted at the latent level. Second, transfer should be restricted to measures that are theoretically related to the trained construct. Hence, the construct of interest also determines the specificity of expected training effects; to test for specificity, study designs should aim at convergent and discriminant validity. We evaluate the recent cognitive training literature in relation to both criteria. We conclude that most studies do not use latent factors for transfer assessment, and do not test for convergent and discriminant validity.

Industrial Provision of Practice Skills of Students Training Gastronomy Education (Case of Turkey)

ERIC Educational Resources Information Center

Sarioglan, Mehmet

2013-01-01

Purpose of this study is to determine to what extent practice skills of students, training in gastronomy education, meet the expectations of food and beverage industry. In the study, 197 students training internship in 27 different firms of total 1540 students training in gastronomy education at higher education level in Turkey were reached by…

Teachers' Expectations from In-Service Training and the Project "No Limit to Teach(er)"

ERIC Educational Resources Information Center

Akçadag, Tuncay

2012-01-01

Problem Statement: Training qualified teachers is possible through pre-service and in-service training programs. The in-service training of teachers in Turkey is primarily planned and delivered by the Directorate of In-Service Office at the Ministry of National Education (MoNE). In addition to this, some Non Governmental Organizations (NGO)…

[Power training for patients with arterial hypertension].

PubMed

Weisser, B; Richter, H; Siewers, M

2006-11-23

Nowadays, not only endurance training but also power training is recommended for patients with hypertension. In appropriately doses programs (no forced respiration), a number of studies have documented a blood pressure lowering effect. In the elderly hypertensive in particular, positive effects of power training that go beyond the simple lowering of elevated blood pressure may be expected.

DEVELOPMENT OF PROCEDURES FOR DERIVING TRAINING OBJECTIVES FOR JUNIOR OFFICER JOBS.

ERIC Educational Resources Information Center

AMMERMAN, HARRY L.

A SYSTEMATIC METHOD WAS DEVELOPED TO BE USED BY SERVICE SCHOOL PERSONNEL IN PREPARING JOB-ORIENTED TRAINING OBJECTIVES FOR JUNIOR OFFICERS, PRIMARILY IN THE FORM OF BEHAVIORAL STATEMENTS OF PERFORMANCE EXPECTED AFTER TRAINING. THE PROCEDURES DEVELOPED WERE (1) LISTING ALL TASKS FOR A JOB, (2) SELECTING TASKS FOR SOME FORMAL TRAINING, (3)…

Evaluator Training Needs and Competencies: A Gap Analysis

ERIC Educational Resources Information Center

Galport, Nicole; Azzam, Tarek

2017-01-01

The systematic identification of evaluator competency training needs is crucial for the development of evaluators and the establishment of evaluation as a profession. Insight into essential competencies could help align training programs with field-specific needs, therefore clarifying expectations between evaluators, educators, and employers. This…

Working Memory Training in ADHD: Controlling for Engagement, Motivation, and Expectancy of Improvement (Pilot Study).

PubMed

Mawjee, Karizma; Woltering, Steven; Lai, Nathan; Gotlieb, Howell; Kronitz, Reena; Tannock, Rosemary

2017-09-01

The aim of this study was to evaluate whether a shortened-length session of CogMed Working Memory Training (CWMT) would be a suitable active control group and evaluate study protocol to aid in design refinements for a larger randomized controlled trial (RCT). Thirty-eight post-secondary students diagnosed with ADHD were randomized into 25 sessions of standard (45 min/session) or shortened (15 min/session) CWMT, or into a waitlist control group. There was no significant difference in completion rate or training index score between the standard- and shortened-length groups indicating that both groups showed improvement and put forth good effort during training. Preliminary findings suggest that shorter training sessions may induce similar levels of engagement, motivation, and expectancy of improvement in participants. We conclude that a larger scale RCT that utilizes shortened-length training as an active control group is warranted, but that a few modifications to the study protocol will be required.

A mixed methods analysis of experiences and expectations among early-career medical oncologists in Australia.

PubMed

Wong, W K Tim; Kirby, Emma; Broom, Alex; Sibbritt, David; Francis, Kay; Karapetis, Christos S; Karikios, Deme; Harrup, Rosemary; Lwin, Zarnie

2018-01-26

A viable and sustainable medical oncology profession is integral for meeting the increasing demand for quality cancer care. The aim of this study was to explore the workforce-related experiences, perceptions and career expectations of early-career medical oncologists in Australia. A mixed-methods design, including a survey (n  =  170) and nested qualitative semistructured interviews (n  =  14) with early-career medical oncologists. Recruitment was through the Medical Oncology Group of Australia. Qualitative data were thematically analyzed and for the survey results, logistic regression modeling was conducted. Early-career medical oncologists experienced uncertainty regarding their future employment opportunities. The competitive job market has made them cautious about securing a preferred job leading to a perceived need to improve their qualifications through higher degree training and research activities. The following themes and trends were identified from the qualitative and quantitative analyses: age, career stage and associated early-career uncertainty; locale, professional competition and training preferences; participation in research and evolving professional expectations; and workload and career development opportunities as linked to career uncertainty. Perceived diminished employment opportunities in the medical oncology profession, and shifting expectations to be "more qualified," have increased uncertainty among junior medical oncologists in terms of their future career prospects. Structural factors relating to adequate funding of medical oncology positions may facilitate or inhibit progressive change in the workforce and its sustainability. Workforce planning and strategies informed by findings from this study will be necessary in ensuring that both the needs of cancer patients and of medical oncologists are met. © 2018 John Wiley & Sons Australia, Ltd.

Augmenting one-session treatment of children's specific phobias with attention training to positive stimuli.

PubMed

Waters, Allison M; Farrell, Lara J; Zimmer-Gembeck, Melanie J; Milliner, Ella; Tiralongo, Evelin; Donovan, Caroline L; McConnell, Harry; Bradley, Brendan P; Mogg, Karin; Ollendick, Thomas H

2014-11-01

This study examined the efficacy of combining two promising approaches to treating children's specific phobias, namely attention training and one 3-h session of exposure therapy ('one-session treatment', OST). Attention training towards positive stimuli (ATP) and OST (ATP+OST) was expected to have more positive effects on implicit and explicit cognitive mechanisms and clinical outcome measures than an attention training control (ATC) condition plus OST (ATC+OST). Thirty-seven children (6-17 years) with a specific phobia were randomly assigned to ATP+OST or ATC+OST. In ATP+OST, children completed 160 trials of attention training responding to a probe that always followed the happy face in happy-angry face pairs. In ATC+OST, the probe appeared equally often after angry and happy faces. In the same session, children completed OST targeting their phobic situation/object. Clinical outcomes included clinician, parent and child report measures. Cognitive outcomes were assessed in terms of change in attention bias to happy and angry faces and in danger and coping expectancies. Assessments were completed before and after treatment and three-months later. Compared to ATC+OST, the ATP+OST condition produced (a) significantly greater reductions in children's danger expectancies about their feared situations/object during the OST and at three-month follow-up, and (b) significantly improved attention bias towards positive stimuli at post-treatment, which in turn, predicted a lower level of clinician-rated phobia diagnostic severity three-months after treatment. There were no significant differences between ATP+OST and ATC+OST conditions in clinician, parent, or child-rated clinical outcomes. Training children with phobias to focus on positive stimuli is effective in increasing attention towards positive stimuli and reducing danger expectancy biases. Studies with larger sample sizes and a stronger 'dose' of ATP prior to the OST may reveal promising outcomes on clinical measures for training attention towards positive stimuli. Copyright © 2014 Elsevier Ltd. All rights reserved.

Theater-Level Gaming and Analysis Workshop for Force Planning. Volume II. Summary, Discussion of Issues and Requirements for Research. September 27- 29, 1977, Held at Xerox International Center for Training and Management Development, Leesburg, Virginia

DTIC Science & Technology

1981-05-01

be allocated to targets on the battlefield and in the rear area. The speaker describes the VECTOR I/NUCLEAR model, a combination of the UNICORN target...outlined. UNICORN is compatible with VECTOR 1 in level of detail. It is an expected value damage model and uses linear programming to optimize the...and a growing appreciation for the power of simulation in addressing large, complex problems, it was only a few short years before these games had

What do health coaches do? Direct observation of health coach activities during medical and patient-health coach visits at 3 federally qualified health centers.

PubMed

Johnson, Christopher; Saba, George; Wolf, Jessica; Gardner, Heather; Thom, David H

2018-05-01

To examine activities of health coaches during patient medical visits and when meeting one-on-one with patients at 3 urban federally qualified health centers. Encounters were videotaped and transcribed. Data was analyzed using a matrix analysis approach that allowed a priori identification of expected categories of activity, based on the health coach training model and previously developed conceptual framework, which were modified based on activities observed. A total of 10 medical visits (patient, clinician and health coach), and 8 patient-coach visits were recorded. We identified 9 categories common to both medical and patient-coach visits and 2 categories unique to the medical visit. While observed activities were generally consistent with expected categories, some activities were observed infrequently or not at all. We also observed additional activity categories, including information gathering and personal conversation. The average amount of time spent on some categories of coaching activities differed substantially between medical visits and patient-coach visits. Health coaching activities observed differed in several respects to those expected, and differed between medical visits and coaching only visits. These results provide insights into health coaching behaviors that can be used to inform training and improve utilization of health coaches in practice. Copyright © 2017 Elsevier B.V. All rights reserved.

Improving global flood risk awareness through collaborative research: Id-Lab

NASA Astrophysics Data System (ADS)

Weerts, A.; Zijderveld, A.; Cumiskey, L.; Buckman, L.; Verlaan, M.; Baart, F.

2015-12-01

Scientific and end-user collaboration on operational flood risk modelling and forecasting requires an environment where scientists and end-users can physically work together and demonstrate, enhance and learn about new tools, methods and models for forecasting and warning purposes. Therefore, Deltares has built a real-time demonstration, training and research infrastructure ('operational' room and ICT backend). This research infrastructure supports various functions like (1) Real time response and disaster management, (2) Training, (3) Collaborative Research, (4) Demonstration. The research infrastructure will be used for a mixture of these functions on a regular basis by Deltares and a multitude of both scientists as well as end users such as universities, research institutes, consultants, governments and aid agencies. This infrastructure facilitates emergency advice and support during international and national disasters caused by rainfall, tropical cyclones or tsunamis. It hosts research flood and storm surge forecasting systems for global/continental/regional scale. It facilitates training for emergency & disaster management (along with hosting forecasting system user trainings in for instance the forecasting platform Delft-FEWS) both internally and externally. The facility is expected to inspire and initiate creative innovations by bringing together different experts from various organizations. The room hosts interactive modelling developments, participatory workshops and stakeholder meetings. State of the art tools, models and software, being applied across the globe are available and on display within the facility. We will present the Id-Lab in detail and we will put particular focus on the global operational forecasting systems GLOFFIS (Global Flood Forecasting Information System) and GLOSSIS (Global Storm Surge Information System).

Flipping the classroom to teach Millennial residents medical leadership: a proof of concept.

PubMed

Lucardie, Alicia T; Berkenbosch, Lizanne; van den Berg, Jochem; Busari, Jamiu O

2017-01-01

The ongoing changes in health care delivery have resulted in the reform of educational content and methods of training in postgraduate medical leadership education. Health care law and medical errors are domains in medical leadership where medical residents desire training. However, the potential value of the flipped classroom as a pedagogical tool for leadership training within postgraduate medical education has not been fully explored. Therefore, we designed a learning module for this purpose and made use of the flipped classroom model to deliver the training. The flipped classroom model reverses the order of learning: basic concepts are learned individually outside of class so that more time is spent applying knowledge to discussions and practical scenarios during class. Advantages include high levels of interaction, optimal utilization of student and expert time and direct application to the practice setting. Disadvantages include the need for high levels of self-motivation and time constraints within the clinical setting. Educational needs and expectations vary within various generations and call for novel teaching modalities. Hence, the choice of instructional methods should be driven not only by their intrinsic values but also by their alignment with the learners' preference. The flipped classroom model is an educational modality that resonates with Millennial students. It helps them to progress quickly beyond the mere understanding of theory to higher order cognitive skills such as evaluation and application of knowledge in practice. Hence, the successful application of this model would allow the translation of highly theoretical topics to the practice setting within postgraduate medical education.

Flipping the classroom to teach Millennial residents medical leadership: a proof of concept

PubMed Central

Lucardie, Alicia T; Berkenbosch, Lizanne; van den Berg, Jochem; Busari, Jamiu O

2017-01-01

Introduction The ongoing changes in health care delivery have resulted in the reform of educational content and methods of training in postgraduate medical leadership education. Health care law and medical errors are domains in medical leadership where medical residents desire training. However, the potential value of the flipped classroom as a pedagogical tool for leadership training within postgraduate medical education has not been fully explored. Therefore, we designed a learning module for this purpose and made use of the flipped classroom model to deliver the training. Evidence The flipped classroom model reverses the order of learning: basic concepts are learned individually outside of class so that more time is spent applying knowledge to discussions and practical scenarios during class. Advantages include high levels of interaction, optimal utilization of student and expert time and direct application to the practice setting. Disadvantages include the need for high levels of self-motivation and time constraints within the clinical setting. Discussion Educational needs and expectations vary within various generations and call for novel teaching modalities. Hence, the choice of instructional methods should be driven not only by their intrinsic values but also by their alignment with the learners’ preference. The flipped classroom model is an educational modality that resonates with Millennial students. It helps them to progress quickly beyond the mere understanding of theory to higher order cognitive skills such as evaluation and application of knowledge in practice. Hence, the successful application of this model would allow the translation of highly theoretical topics to the practice setting within postgraduate medical education. PMID:28144170

The effects of learning on event-related potential correlates of musical expectancy.

PubMed

Carrión, Ricardo E; Bly, Benjamin Martin

2008-09-01

Musical processing studies have shown that unexpected endings in familiar musical sequences produce extended latencies of the P300 component. The present study sought to identify event-related potential (ERP) correlates of musical expectancy by entraining participants with rule-governed chord sequences and testing whether unexpected endings created similar responses. Two experiments were conducted in which participants performed grammaticality classifications without training (Experiment 1) and with training (Experiment 2). In both experiments, deviant chords differing in instrumental timbre elicited a MMN/P3a waveform complex. Violations related to learned patterns elicited an early right anterior negativity and P3b. Latency and amplitude of peak components were modulated by the physical characteristics of the chords, expectations due to prior knowledge of musical harmony, and contextually defined expectations developed through entrainment.

Thermal Non-equilibrium Revealed by Periodic Pulses of Random Amplitudes in Solar Coronal Loops

NASA Astrophysics Data System (ADS)

Auchère, F.; Froment, C.; Bocchialini, K.; Buchlin, E.; Solomon, J.

2016-08-01

We recently detected variations in extreme ultraviolet intensity in coronal loops repeating with periods of several hours. Models of loops including stratified and quasi-steady heating predict the development of a state of thermal non-equilibrium (TNE): cycles of evaporative upflows at the footpoints followed by falling condensations at the apex. Based on Fourier and wavelet analysis, we demonstrate that the observed periodic signals are indeed not signatures of vibrational modes. Instead, superimposed on the power law expected from the stochastic background emission, the power spectra of the time series exhibit the discrete harmonics and continua expected from periodic trains of pulses of random amplitudes. These characteristics reinforce our earlier interpretation of these pulsations as being aborted TNE cycles.

Thermal Non-Equilibrium Revealed by Periodic Pulses of Random Amplitudes in Solar Coronal Loops

NASA Astrophysics Data System (ADS)

Auchère, F.; Froment, C.; Bocchialini, K.; Buchlin, E.; Solomon, J.

2016-10-01

We recently detected variations in extreme ultraviolet intensity in coronal loops repeating with periods of several hours. Models of loops including stratified and quasi-steady heating predict the development of a state of thermal non-equilibrium (TNE): cycles of evaporative upflows at the footpoints followed by falling condensations at the apex. Based on Fourier and wavelet analysis, we demonstrate that the observed periodic signals are indeed not signatures of vibrational modes. Instead, superimposed on the power law expected from the stochastic background emission, the power spectra of the time series exhibit the discrete harmonics and continua expected from periodic trains of pulses of random amplitudes. These characteristics reinforce our earlier interpretation of these pulsations as being aborted TNE cycles.

Estimates of cost-effectiveness of prehospital continuous positive airway pressure in the management of acute pulmonary edema.

PubMed

Hubble, Michael W; Richards, Michael E; Wilfong, Denise A

2008-01-01

To estimate the cost-effectiveness of continuous positive airway pressure (CPAP) in managing prehospital acute pulmonary edema in an urban EMS system. Using estimates from published reports on prehospital and emergency department CPAP, a cost-effectiveness model of implementing CPAP in a typical urban EMS system was derived from the societal perspective as well as the perspective of the implementing EMS system. To assess the robustness of the model, a series of univariate and multivariate sensitivity analyses was performed on the input variables. The cost of consumables, equipment, and training yielded a total cost of $89 per CPAP application. The theoretical system would be expected to use CPAP 4 times per 1000 EMS patients and is expected to save 0.75 additional lives per 1000 EMS patients at a cost of $490 per life saved. CPAP is also expected to result in approximately one less intubation per 6 CPAP applications and reduce hospitalization costs by $4075 per year for each CPAP application. Through sensitivity analyses the model was verified to be robust across a wide range of input variable assumptions. Previous studies have demonstrated the clinical effectiveness of CPAP in the management of acute pulmonary edema. Through a theoretical analysis which modeled the costs and clinical benefits of implementing CPAP in an urban EMS system, prehospital CPAP appears to be a cost-effective treatment.

An analysis of the determinants of maternal mortality in sub-Saharan Africa.

PubMed

Buor, Daniel; Bream, Kent

2004-10-01

To establish what population characteristics affect the high maternal mortality rate in the sub-Saharan Africa region and to propose possible solutions to reduce this rate. This study is a secondary analysis of existing data sources from the World Bank, the World Health Organization (WHO), as well as direct and indirect sources from UNAIDS, the United Nations, Demographic and Health Surveys (DHS), Macro International, and national statistical offices. Instead of looking at continentwide or individual nation models, it develops a regional model. Sociodemographic population variables are used as independent variables to predict the dependent variable, maternal mortality. Additionally, a new country-specific political stability independent variable is introduced into the model. Data from 28 sub-Saharan African countries are used. Bivariate correlations are used to establish associations among the variables, whereas cross-tabulations, using Kendall's tau-c values, and regression lines are used to establish impacts. In the sub-Saharan Africa region, births attended by skilled health personnel and life expectancy at birth strongly correlate with maternal mortality. Gross national product (GNP) per capita and health expenditure per capita also have strong association with maternal mortality. The availability of skilled delivery personnel, life expectancy, national economic wealth, and health expenditure per capita predict the maternal mortality rate of a country. Based on these findings, it is recommended that structural arrangements be made to train skilled health personnel to take care of maternal health problems. In view of the high cost of training physicians, middle-level health personnel may offer an affordable alternative to handle emergency obstetrical cases to address the shortage of physicians. In addition, the allocation of adequate resources to the health sector could improve maternal mortality. The economic wealth of a country and life expectancy at birth are less modifiable through short-term specific interventions. Additionally, it is recommended that country-specific interventions are needed to correct the problem of lack of critical data for analysis.

STRAPS v1.0: evaluating a methodology for predicting electron impact ionisation mass spectra for the aerosol mass spectrometer

NASA Astrophysics Data System (ADS)

Topping, David O.; Allan, James; Rami Alfarra, M.; Aumont, Bernard

2017-06-01

Our ability to model the chemical and thermodynamic processes that lead to secondary organic aerosol (SOA) formation is thought to be hampered by the complexity of the system. While there are fundamental models now available that can simulate the tens of thousands of reactions thought to take place, validation against experiments is highly challenging. Techniques capable of identifying individual molecules such as chromatography are generally only capable of quantifying a subset of the material present, making it unsuitable for a carbon budget analysis. Integrative analytical methods such as the Aerosol Mass Spectrometer (AMS) are capable of quantifying all mass, but because of their inability to isolate individual molecules, comparisons have been limited to simple data products such as total organic mass and the O : C ratio. More detailed comparisons could be made if more of the mass spectral information could be used, but because a discrete inversion of AMS data is not possible, this activity requires a system of predicting mass spectra based on molecular composition. In this proof-of-concept study, the ability to train supervised methods to predict electron impact ionisation (EI) mass spectra for the AMS is evaluated. Supervised Training Regression for the Arbitrary Prediction of Spectra (STRAPS) is not built from first principles. A methodology is constructed whereby the presence of specific mass-to-charge ratio (m/z) channels is fitted as a function of molecular structure before the relative peak height for each channel is similarly fitted using a range of regression methods. The widely used AMS mass spectral database is used as a basis for this, using unit mass resolution spectra of laboratory standards. Key to the fitting process is choice of structural information, or molecular fingerprint. Our approach relies on using supervised methods to automatically optimise the relationship between spectral characteristics and these molecular fingerprints. Therefore, any internal mechanisms or instrument features impacting on fragmentation are implicitly accounted for in the fitted model. Whilst one might expect a collection of keys specifically designed according to EI fragmentation principles to offer a robust basis, the suitability of a range of commonly available fingerprints is evaluated. Using available fingerprints in isolation, initial results suggest the generic public MACCS fingerprints provide the most accurate trained model when combined with both decision trees and random forests, with median cosine angles of 0.94-0.97 between modelled and measured spectra. There is some sensitivity to choice of fingerprint, but most sensitivity is in choice of regression technique. Support vector machines perform the worst, with median values of 0.78-0.85 and lower ranges approaching 0.4, depending on the fingerprint used. More detailed analysis of modelled versus mass spectra demonstrates important composition-dependent sensitivities on a compound-by-compound basis. This is further demonstrated when we apply the trained methods to a model α-pinene SOA system, using output from the GECKO-A model. This shows that use of a generic fingerprint referred to as FP4 and one designed for vapour pressure predictions (Nanoolal) gives plausible mass spectra, whilst the use of the MACCS keys in isolation performs poorly in this application, demonstrating the need for evaluating model performance against other SOA systems rather than existing laboratory databases on single compounds. Given the limited number of compounds used within the AMS training dataset, it is difficult to prescribe which combination of approach would lead to a robust generic model across all expected compositions. Nonetheless, the study demonstrates the use of a methodology that would be improved with more training data, fingerprints designed explicitly for fragmentation mechanisms occurring within the AMS, and data from additional mixed systems for further validation. To facilitate further development of the method, including application to other instruments, the model code for re-training is provided via a public Github and Zenodo software repository.

Psychological Assessment Training in Clinical Psychology Doctoral Programs.

PubMed

Mihura, Joni L; Roy, Manali; Graceffo, Robert A

2017-01-01

We surveyed American Psychological Association-accredited clinical psychology doctoral programs' (n = 83) training in psychological assessment-specifically, their coverage of various assessment topics and tests in courses and practica, and whether the training was optional or required. We report results overall and separately per training model (clinical science, scientist-practitioner, and practitioner-focused). Overall, our results suggest that psychological assessment training is as active, or even more active, than in previous years. Areas of increased emphasis include clinical interviewing and psychometrics; multimethod, outcomes, health, and collaborative or therapeutic assessment; and different types of cognitive and self-report personality tests. All or almost all practice-focused programs offered training with the Thematic Apperception Test and Rorschach compared to about half of the scientist-practitioner programs and a third of the clinical science programs. Although almost all programs reported teaching multimethod assessment, what constitutes different methods of assessing psychopathology should be clarified in future studies because many programs appear to rely on one method-self-report (especially clinical science programs). Although doctoral programs covered many assessment topics and tests in didactic courses, there appears to be a shortage of program-run opportunities for students to obtain applied assessment training. Finally, we encourage doctoral programs to be familiar with (a) internships' assessment expectations and opportunities, (b) the professional guidelines for assessment training, and (c) the American Psychological Association's requirements for preinternship assessment competencies.

A Model for Education and Training for a Crisis-Expectant Period.

DTIC Science & Technology

1980-10-31

an alternative method of dealing with nuclear disaster depends on the distribution of information as to the appropriateness of various behavior...question of what an individual should be able to do in response to a nuclear disaster , and what kind of instruction would enable individuals to carry...be dysfunctional in an emergency. (Perry, et al., 1980, p. 66) Civil defense is a low-salience issue, especially because the awesome- ness of a nuclear

The FAA altitude chamber training flight profile : a survey of altitude reactions, 1965-1989.

DOT National Transportation Integrated Search

1990-09-01

Reactions from 1,161 trainees out of 12,759 trainees subjected to the FAA altitude chamber training flights from 1965-1989 are annotated in this survey. Although there were some mild and expected reactions, these training profiles appear to provide a...

Cost-Effectiveness of Multidisciplinary Management Program and Exercise Training Program in Heart Failure.

PubMed

Dang, Weixiong; Yi, Anji; Jhamnani, Sunny; Wang, Shi-Yi

2017-10-15

Heart failure causes significant health and financial burdens for patients and society. Multidisciplinary management program (MMP) and exercise training program (ETP) have been reported as cost-effective in improving health outcomes, yet no study has compared the 2 programs. We constructed a Markov model to simulate life year (LY) gained and total costs in usual care (UC), MMP, and ETP. The probability of transitions between states and healthcare costs were extracted from previous literature. We calculated the incremental cost-effectiveness ratio (ICER) over a 10-year horizon. Model robustness was assessed through 1-way and probabilistic sensitivity analyses. The expected LY for patients treated with UC, MMP, and ETP was 7.6, 8.2, and 8.4 years, respectively. From a societal perspective, the expected cost of MMP was $20,695, slightly higher than the cost of UC ($20,092). The cost of ETP was much higher ($48,378) because of its high implementation expense and the wage loss it incurred. The ICER of MMP versus UC was $976 per LY gained, and the ICER of ETP versus MMP was $165,702 per LY gained. The results indicated that, under current cost-effectiveness threshold, MMP is cost-effective compared with UC, and ETP is not cost-effective compared with MMP. However, ETP is cost-effective compared with MMP from a healthcare payer's perspective. Copyright © 2017 Elsevier Inc. All rights reserved.

Prediction and uncertainty in human Pavlovian to instrumental transfer.

PubMed

Trick, Leanne; Hogarth, Lee; Duka, Theodora

2011-05-01

Attentional capture and behavioral control by conditioned stimuli have been dissociated in animals. The current study assessed this dissociation in humans. Participants were trained on a Pavlovian schedule in which 3 visual stimuli, A, B, and C, predicted the occurrence of an aversive noise with 90%, 50%, or 10% probability, respectively. Participants then went on to separate instrumental training in which a key-press response canceled the aversive noise with a .5 probability on a variable interval schedule. Finally, in the transfer phase, the 3 Pavlovian stimuli were presented in this instrumental schedule and were no longer differentially predictive of the outcome. Observing times and gaze dwell time indexed attention to these stimuli in both training and transfer. Aware participants acquired veridical outcome expectancies in training--that is, A > B > C, and these expectancies persisted into transfer. Most important, the transfer effect accorded with these expectancies, A > B > C. By contrast, observing times accorded with uncertainty--that is, they showed B > A = C during training, and B < A = C in the transfer phase. Dwell time bias supported this association between attention and uncertainty, although these data showed a slightly more complicated pattern. Overall, the study suggests that transfer is linked to outcome prediction and is dissociated from attention to conditioned stimuli, which is linked to outcome uncertainty.

Effects of underwater escape training--a psychophysiological study.

PubMed

Hytten, K; Jensen, A; Vaernes, R

1989-05-01

The effect of underwater escape training was analysed among 78 participants at the Norwegian Underwater Technological Center (NUTEC), Bergen, in a psychophysiological study. The training caused significant physiological activation. Perceived training effect was found to be inversely related to anxiety during training. Most of the participants developed a positive response outcome expectancy and increased confidence in flying. The learning aspects were versatile and partly dependent on personality factors. A more individualized approach to training is recommended.

A Theory of False Cognitive Expectancies in Airline Pilots

NASA Astrophysics Data System (ADS)

Cortes, Antonio I.

The Theory of False Cognitive Expectancies was developed by studying high reliability flight operations. Airline pilots depend extensively on cognitive expectancies to perceive, understand, and predict actions and events. Out of 1,363 incident reports submitted by airline pilots to the National Aeronautics and Space Administration Aviation Safety Reporting System over a year's time, 110 reports were found to contain evidence of 127 false cognitive expectancies in pilots. A comprehensive taxonomy was developed with six categories of interest. The dataset of 127 false expectancies was used to initially code tentative taxon values for each category. Intermediate coding through constant comparative analysis completed the taxonomy. The taxonomy was used for the advanced coding of chronological context-dependent visualizations of expectancy factors, known as strands, which depict the major factors in the creation and propagation of each expectancy. Strands were mapped into common networks to detect highly represented expectancy processes. Theoretical integration established 11 sources of false expectancies, the most common expectancy errors, and those conspicuous factors worthy of future study. The most prevalent source of false cognitive expectancies within the dataset was determined to be unconscious individual modeling based on past events. Integrative analyses also revealed relationships between expectancies and flight deck automation, unresolved discrepancies, and levels of situation awareness. Particularly noteworthy were the findings that false expectancies can combine in three possible permutations to diminish situation awareness and examples of how false expectancies can be unwittingly transmitted from one person to another. The theory resulting from this research can enhance the error coding process used during aircraft line oriented safety audits, lays the foundation for developing expectancy management training programs, and will allow researchers to proffer hypotheses for human testing using flight simulators.

An eye movement pre-training fosters the comprehension of processes and functions in technical systems.

PubMed

Skuballa, Irene T; Fortunski, Caroline; Renkl, Alexander

2015-01-01

The main research goal of the present study was to investigate in how far pre-training eye movements can facilitate knowledge acquisition in multimedia (pre-training principle). We combined considerations from research on eye movement modeling and pre-training to design and test a non-verbal eye movement-based pre-training. Participants in the experimental condition watched an animated circle moving in close spatial resemblance to a static visualization of a solar plant accompanied by a narration in a subsequently presented learning environment. This training was expected to foster top-down processes as reflected in gaze behavior during the learning process and enhance knowledge acquisition. We compared two groups (N = 45): participants in the experimental condition received pre-training in a first step and processed the learning material in a second step, whereas the control group underwent the second step without any pre-training. The pre-training group outperformed the control group in their learning outcomes, particularly in knowledge about processes and functions of the solar plant. However, the superior learning outcomes in the pre-training group could not be explained by eye-movement patterns. Furthermore, the pre-training moderated the relationship between experienced stress and learning outcomes. In the control group, high stress levels hindered learning, which was not found for the pre-training group. On a delayed posttest participants were requested to draw a picture of the learning content. Despite a non-significant effect of training on the quality of drawings, the pre-training showed associations between learning outcomes at the first testing time and process-related aspects in the quality of their drawings. Overall, non-verbal pre-training is a successful instructional intervention to promote learning processes in novices although these processes did not directly reflect in learners' eye movement behavior during learning.

Effects of a Blacklight Visual Field on Eye-Contact Training of Spastic Cerebral Palsied Children.

ERIC Educational Resources Information Center

Poland, D. J.; Doebler, L, K.

1980-01-01

Four subjects, aged six to seven, identified as visually impaired, were given training in making eye contact with a stimulus under both white and black light visual field. All subjects performed better under the black light condition, even overcoming the expected practice effect when white light training followed black light training. (Author/SJL)

On the Effects of Training Inductive Reasoning: How Far Does It Transfer and How Long Do the Effects Persist?

ERIC Educational Resources Information Center

Tomic, Welko; Klauer, Karl Josef

1996-01-01

Reports on two training experiments in which it was expected that training in inductive reasoning would transfer to intelligence tests measuring inductive reasoning and on mathematics performance. Shows that transfer on intelligence tests as well as on mathematics performance was linearly dependent on the amount of prior training. (DSK)

Effects of a Self-Instruction Communication Skills Training on Skills, Self-Efficacy, Motivation, and Transfer

ERIC Educational Resources Information Center

Hommes, Mark A.; Van der Molen, Henk T.

2012-01-01

This article describes a study on the effects of a self-instruction training programme in communication skills for psychology students at the Open University of the Netherlands in comparison to a fully supervised training. We expected both training programmes to increase students' knowledge and skills, as well as their self-efficacy and motivation…

Small Enterprise Development In-Service Training Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-43.

ERIC Educational Resources Information Center

Pragma Corp., Falls Church, VA.

This manual is intended to assist Peace Corps trainers in providing inservice technical training in small enterprise development. The following topics are covered: expectations and sharing of resources, problem analysis as a part of project identification, procedures in setting goals and objectives, steps in identifying project resources, the…

Innovative patient-centered skills training addressing challenging issues in cancer communications: Using patient's stories that teach.

PubMed

Bishop, Thomas W; Gorniewicz, James; Floyd, Michael; Tudiver, Fred; Odom, Amy; Zoppi, Kathy

2016-05-01

This workshop demonstrated the utility of a patient-centered web-based/digital Breaking Bad News communication training module designed to educate learners of various levels and disciplines. This training module is designed for independent, self-directed learning as well as group instruction. These interactive educational interventions are based upon video-recorded patient stories. Curriculum development was the result of an interdisciplinary, collaborative effort involving faculty from the East Tennessee State University (ETSU) Graduate Storytelling Program and the departments of Family and Internal Medicine at the James H. Quillen College of Medicine. The specific goals of the BBN training module are to assist learners in: (1) understanding a five-step patient-centered model that is based upon needs, preferences, and expectations of patients with cancer and (2) individualizing communication that is consistent with patient preferences in discussing emotions, informational detail, prognosis and timeline, and whether or not to discuss end-of-life issues. The pedagogical approach to the training module is to cycle through Emotional Engagement, Data, Modeled Practices, Adaptation Opportunities, and Feedback. The communication skills addressed are rooted in concepts found within the Reaching Common Ground communication training. A randomized control study investigating the effectiveness of the Breaking Bad News module found that medical students as well as resident physicians improved their communication skills as measured by an Objective Structured Clinical Examination. Four other similarly designed modules were also created: Living Through Treatment, Transitions: From Curable to Treatable/From Treatable to End-of-Life, Spirituality, and Family. © The Author(s) 2016.

75 FR 11561 - Solicitation for a Cooperative Agreement-Training for Executive Excellence: Leadership Style and...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-11

...--Training for Executive Excellence: Leadership Style and Instrumentation Curriculum Development AGENCY...' ``Correctional Leadership Competencies for the 21st Century'' for the executive level. It is expected that the... leadership and management training to corrections professionals. In an effort to expand on the resources NIC...

General Employee Training Live, Course 15503

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

Gabel, Daniel Glen; Hughes, Heather

This training at Los Alamos National Laboratory contains the following sections: Introduction to the Laboratory, Institutional Quality Assurance, Facilities, Policies, Procedures, and Other Requirements, Safety Expectations, Worker Protection: Occupational Safety and Health, Industrial Hygiene and Safety, Lockout/Tagout, General Employee Radiological Training, Fire Protection, Security, Emergency Operations, Occupational Health, and Environment.

Expectations for Opioid Therapy

MedlinePlus

... for Providers Guideline Overview Guideline Resources Clinical Tools Posters Videos Mobile App Training for Providers Interactive Training ... few days. Clinician Commitment to Patient Prescription Safety Poster Clinician Commitment to Patient Prescription Safety Poster [PDF – ...

Outcomes from the GLEON fellowship program. Training graduate students in data driven network science.

NASA Astrophysics Data System (ADS)

Dugan, H.; Hanson, P. C.; Weathers, K. C.

2016-12-01

In the water sciences there is a massive need for graduate students who possess the analytical and technical skills to deal with large datasets and function in the new paradigm of open, collaborative -science. The Global Lake Ecological Observatory Network (GLEON) graduate fellowship program (GFP) was developed as an interdisciplinary training program to supplement the intensive disciplinary training of traditional graduate education. The primary goal of the GFP was to train a diverse cohort of graduate students in network science, open-web technologies, collaboration, and data analytics, and importantly to provide the opportunity to use these skills to conduct collaborative research resulting in publishable scientific products. The GFP is run as a series of three week-long workshops over two years that brings together a cohort of twelve students. In addition, fellows are expected to attend and contribute to at least one international GLEON all-hands' meeting. Here, we provide examples of training modules in the GFP (model building, data QA/QC, information management, bayesian modeling, open coding/version control, national data programs), as well as scientific outputs (manuscripts, software products, and new global datasets) produced by the fellows, as well as the process by which this team science was catalyzed. Data driven education that lets students apply learned skills to real research projects reinforces concepts, provides motivation, and can benefit their publication record. This program design is extendable to other institutions and networks.

The experience of medical training and expectations regarding future medical practice of medical students in the Cuban-supported Medical School in Timor-Leste.

PubMed

Ferrinho, Paulo; Valdes, Ana C; Cabral, Jorge

2015-03-28

The purpose of this paper is to describe and analyse the professional expectations and profile of medical students at the Cuban-supported School of General Medicine, in the Faculty of Medicine and Health Sciences of the National University of Timor-Leste. A piloted, standardized questionnaire, with closed- and open-ended questions, was distributed to registered medical students attending classes on the day of the survey. All data were analysed using SPSS. The statistical analysis is mostly descriptive. Students decide to study medicine at an early age. Relatives and friends seem to have an especially important influence in encouraging, reinforcing and promoting the desire to be a doctor. The degree of feminization of the student population is high. Medical students are in general satisfied with the training received, though demanding improvements in terms of systems to support their studies and training (e.g. libraries, laboratories, access to computers and the Internet). Medical students know that they will be needed in the public sector and that it would represent their opportunity to contribute to the public's welfare. Nonetheless, they report that they expect to combine public sector practice with private work, probably, in order to improve their earnings. This may be explained by their expectations for salaries, which are much higher than the current level of public sector salaries. A significant proportion of students are unsure about their future area of specialization. Of those that have determined their desired specialization, most intend to train as hospital specialists and to follow a hospital-based career. For many, specialization is equated with migration to study abroad. There are important differences between students at the start of their training compared with more advanced students. This paper gives an overview of student expectations for alignment with stated national human resources for health priorities for Timor-Leste.

Experiential learning in high energy physics: a survey of students at the LHC

NASA Astrophysics Data System (ADS)

Camporesi, Tiziano; Catalano, Gelsomina; Florio, Massimo; Giffoni, Francesco

2017-03-01

More than 36 000 students and post-docs will be involved until 2025 in research at the Large Hadron Collider (LHC) mainly through international collaborations. To what extent they value the skills acquired? Do students expect that their learning experience will have an impact on their professional future? By drawing from earlier literature on experiential learning, we have designed a survey of current and former students at LHC. To quantitatively measure the students’ perceptions, we compare the salary expectations of current students with the assessment of those now employed in different jobs. Survey data are analysed by ordered logistic regression models, which allow multivariate statistical analyses with limited dependent variables. Results suggest that experiential learning at LHC positively correlates with both current and former students’ salary expectations. Those already employed clearly confirm the expectations of current students. At least two not mutually exclusive explanations underlie the results. First, the training at LHC is perceived to provide students valuable skills, which in turn affect the salary expectations; secondly, the LHC research experience per se may act as signal in the labour market. Respondents put a price tag on their learning experience, a ‘LHC salary premium’ ranging from 5% to 12% compared with what they would have expected for their career without such an experience at CERN.

Deep neural network and noise classification-based speech enhancement

NASA Astrophysics Data System (ADS)

Shi, Wenhua; Zhang, Xiongwei; Zou, Xia; Han, Wei

2017-07-01

In this paper, a speech enhancement method using noise classification and Deep Neural Network (DNN) was proposed. Gaussian mixture model (GMM) was employed to determine the noise type in speech-absent frames. DNN was used to model the relationship between noisy observation and clean speech. Once the noise type was determined, the corresponding DNN model was applied to enhance the noisy speech. GMM was trained with mel-frequency cepstrum coefficients (MFCC) and the parameters were estimated with an iterative expectation-maximization (EM) algorithm. Noise type was updated by spectrum entropy-based voice activity detection (VAD). Experimental results demonstrate that the proposed method could achieve better objective speech quality and smaller distortion under stationary and non-stationary conditions.

Sport commitment and participation in masters swimmers: the influence of coach and teammates.

PubMed

Santi, Giampaolo; Bruton, Adam; Pietrantoni, Luca; Mellalieu, Stephen

2014-01-01

This study investigated how coach and teammates influence masters athletes' sport commitment, and the effect of functional and obligatory commitments on participation in masters swimming. The sample consisted of 523 masters swimmers (330 males and 193 females) aged between 22 and 83 years (M = 39.00, SD = 10.42). A bi-dimensional commitment scale was used to measure commitment dimensions and perceived influence from social agents. Structural equation modelling analysis was conducted to evaluate the influence of social agents on functional and obligatory commitments, and the predictive capabilities of the two types of commitment towards sport participation. Support provided by coach and teammates increased functional commitment, constraints from these social agents determined higher obligatory commitment, and coach constraints negatively impacted functional commitment. In addition, both commitment types predicted training participation, with functional commitment increasing participation in team training sessions, and obligatory commitment increasing the hours of individual training. The findings suggest that in order to increase participation in masters swimming teams and reduce non-supervised training, coach and teammates should exhibit a supportive attitude and avoid over expectation.

Geropsychology training in a specialist geropsychology doctoral program.

PubMed

Qualls, Sara Honn; Segal, Daniel L; Benight, Charles C; Kenny, Michael P

2005-01-01

The first PhD specialty program in Geropsychology that launched in fall, 2004 at CU-Colorado Springs is described. Consistent with a scientist-practitioner model, the curriculum sequence builds systematically from basic to complex knowledge and skills across the domains of scientific psychology, research methodology, general clinical, geropsychology science, and clinical geropsychology. Practicum experiences also build skills in core clinical competencies needed by geropsychologists, including assessment, psychotherapy, neuropsychological evaluations, caregiver consultation and counseling, health psychology, and outreach/prevention. Research mentoring prepares students with the skills needed to conduct independent research useful to the clinical practice of geropsychology. Challenges faced in the process of developing the program include the development of a training clinic, balancing specialty and generalized training, building a specialty culture while maintaining faculty integration, attracting faculty and students during a start-up phase, and defining an identity within the field. The mental health services center that was launched to meet training needs while addressing a services niche in the community contributes substantially to the essence of this program, and is described in some detail. Future opportunities and challenges include program funding, heavy demands of specialty training on top of generalist training, maintaining congruence between expectations of clinical and non-clinical faculty, providing interdisciplinary experience, and expansion of practicum opportunities.

A model for analysis, systemic planning and strategic synthesis for health science teaching in the Democratic Republic of the Congo: a vision for action

PubMed Central

Parent, Florence; Kahombo, Gérard; Bapitani, Josué; Garant, Michèle; Coppieters, Yves; Levêque, Alain; Piette, Danielle

2004-01-01

Background The problem of training human resources in health is a real concern in public health in Central Africa. What can be changed in order to train more competent health professionals? This is of utmost importance in primary health care. Methods Taking into account the level of training of secondary-level nurses in the Democratic Republic of the Congo (DRC), a systemic approach, based on the PRECEDE PROCEED model of analysis, led to a better understanding of the educational determinants and of the factors favourable to a better match between training in health sciences and the expected competences of the health professionals. This article must be read on two complementary levels: one reading, focused on the methodological process, should allow our findings to be transferred to other problems (adaptation of a health promotion model to the educational sphere). The other reading, revolving around the specific theme and results, should provide a frame of reference and specific avenues for action to improve human resources in the health field (using the results of its application in health science teaching in the DRC). Results The results show that it is important to start this training with a global and integrated approach shared by all the actors. The strategies of action entail the need for an approach taking into account all the aspects, i.e. sociological, educational, medical and public health. Conclusions The analysis of the results shows that one cannot bring any change without integrated strategies of action and a multidisciplinary approach that includes all the complex determinants of health behaviour, and to do it within the organization of local structures and institutions in the ministry of health in the DRC. PMID:15585060

Pesticide Label Review Training

EPA Pesticide Factsheets

This training will help ensure that reviewers evaluate labels according to four core principles. It also will help pesticide registrants developing labels understand what EPA expects of pesticide labels, and what the Agency generally finds acceptable.

Attention bias modification and its impact on experimental pain outcomes: Comparison of training with words versus faces in pain.

PubMed

Sharpe, L; Johnson, A; Dear, B F

2015-10-01

The aim of this study was to compare the effectiveness of training participants' attention towards or away from painful faces versus pain-related words on pain outcomes on an acute experimental pain paradigm. Participants were randomized to receive either training towards or away from painful faces or words. Following training, participants completed the cold pressor task. The results confirm that attention bias modification produced the predicted changes in attentional biases. Clear training effects were observed for words and faces, such that attentional biases changed in the predicted direction on the stimuli presented during the training. However, for those trained on words, training effects also generalized to face stimuli. As predicted, those who received training away from painful stimuli took longer to report pain (higher pain threshold) during the cold pressor task, and this effect was more pronounced for those trained on words. Contrary to expectations, those trained on faces (regardless of training direction) reported less pain than those trained on words. There were no differences between the groups for pain tolerance (length of time participants were able to keep their arms in the cold pressor). These findings confirm that attentional biases are modifiable, and impact (in the expected manner) how quickly participants perceive pain. Further, exposure to painful faces resulted in additional benefits to the level of pain reported. However, we were unable to confirm that change in attentional biases was the mechanism of change. © 2014 European Pain Federation - EFIC®

Adolescent and young adult medicine in Australia and New Zealand: towards specialist accreditation.

PubMed

Sawyer, Susan M; Farrant, Bridget; Hall, Anganette; Kennedy, Andrew; Payne, Donald; Steinbeck, Kate; Vogel, Veronica

2016-08-01

In Australia and New Zealand, a critical mass of academic and clinical leadership in Adolescent Medicine has helped advance models of clinical services, drive investments in teaching and training, and strengthen research capacity over the past 30 years. There is growing recognition of the importance of influencing the training of adult physicians as well as paediatricians. The Royal Australasian College of Physicians (RACP) is responsible for overseeing all aspects of specialist physician training across the two countries. Following advocacy from adolescent physicians, the RACP is advancing a three-tier strategy to build greater specialist capacity and sustain leadership in adolescent and young adult medicine (AYAM). The first tier of the strategy supports universal training in adolescent and young adult health and medicine for all basic trainees in paediatric and adult medicine through an online training resource. The second and third tiers support advanced training in AYAM for specialist practice, based on an advanced training curriculum that has been approved by the RACP. The second tier is dual training; advanced trainees can undertake 2 years training in AYAM and 2 years training in another area of specialist practice. The third tier consists of 3 years of advanced training in AYAM. The RACP is currently seeking formal recognition from the Australian Government to have AYAM accredited, a process that will be subsequently undertaken in New Zealand. The RACP is expectant that the accreditation of specialist AYAM physicians will promote sustained academic and clinical leadership in AYAM to the benefit of future generations of young Australasians.

Space Operations Training Concepts Benchmark Study (Training in a Continuous Operations Environment)

NASA Technical Reports Server (NTRS)

Johnston, Alan E.; Gilchrist, Michael; Underwood, Debrah (Technical Monitor)

2002-01-01

The NASA/USAF Benchmark Space Operations Training Concepts Study will perform a comparative analysis of the space operations training programs utilized by the United States Air Force Space Command with those utilized by the National Aeronautics and Space Administration. The concentration of the study will be focused on Ground Controller/Flight Controller Training for the International Space Station Payload Program. The duration of the study is expected to be five months with report completion by 30 June 2002. The U.S. Air Force Space Command was chosen as the most likely candidate for this benchmark study because their experience in payload operations controller training and user interfaces compares favorably with the Payload Operations Integration Center's training and user interfaces. These similarities can be seen in the dynamics of missions/payloads, controller on-console requirements, and currency/proficiency challenges to name a few. It is expected that the report will look at the respective programs and investigate goals of each training program, unique training challenges posed by space operations ground controller environments, processes of setting up controller training programs, phases of controller training, methods of controller training, techniques to evaluate adequacy of controller knowledge and the training received, and approaches to training administration. The report will provide recommendations to the respective agencies based on the findings. Attached is a preliminary outline of the study. Following selection of participants and an approval to proceed, initial contact will be made with U.S. Air Force Space Command Directorate of Training to discuss steps to accomplish the study.

The Interaction of Decision Aid Usage, Training Methodology, and Personality Construct on Decision Making Among Dyadic Air Crews in a Military Environment

DTIC Science & Technology

2003-04-01

34action orientetion ". T^ks concerned pre-flight safety assessments for military combat aircraft and were performed 1^ Army Cobra aviators. Dependent...evaluations are vital during future assessments of team performance and especially for modeling purposes, as the literature lacks empirical...a similar scale, and then assign probabilities to likelihood’s for these in the future . Once completed, one can multiply expected feature values of

Children as Ethicists: Stories for Thoughtful Young Citizens

ERIC Educational Resources Information Center

Bratt, Kirstin Ruth

2010-01-01

An emphasis on diversity is one of the greatest challenges in my teaching. Everyone, myself included, enters the course with a set of expectations for human behavior, and literature can be very disruptive of these expectations. International literature, for example, often disrupts the narrative expectations of readers who were trained by stories…

Job Description and Handicapping Condition. An Analysis of Employer Expectations for Training and Success of Handicapped Job Applicants.

ERIC Educational Resources Information Center

Schloss, Patrick J.; Schloss, Cynthia N.

1984-01-01

A study involving 72 managers of restaurants and fast food services indicated that they anticipated significantly more intrusive training for mentally retarded applicants to the position of dishwasher/waiter and significantly more intrusive training for mentally retarded applicants compared to deaf and normal applicants. (CL)

Effectiveness of the Combat Operational Stress Control Training Program: Expectations of the U.S. Marine Corps

ERIC Educational Resources Information Center

Sipko, Marek M.

2010-01-01

This study evaluated the effectiveness of the U.S. Marine Corps combat operational stress preventive training program to determine whether the program meets the training effectiveness criteria of the Marine Corps. This evaluation entailed both qualitative and quantitative inquiries to answer the subject matter research questions. The…

Employer Experiences and Expectations: Finding, Training, and Keeping Qualified Workers

ERIC Educational Resources Information Center

Perron, Rebecca

2011-01-01

The graying of the labor force, together with the recession of 2008-2010, has forced employers and prognosticators to take a hard look at workforce preparation, training, and planning. This employer research survey is one component of a larger project that explores the workforce, labor force projections, and employer views on training,…

The Effect of Organization Development Training on Goal Agreement Among School Faculty Members.

ERIC Educational Resources Information Center

Bartunek, Jean M.; Keys, Christopher B.

Teachers in schools receiving organization development (OD) training were expected to show greater agreement on school goals than control school teachers. Toward the end of one school year, faculty-administration teams from seven elementary schools attended OD training. During the next school year these teams conducted workshops for fellow…

The Dread Factor: How Hazards and Safety Training Influence Learning and Performance

ERIC Educational Resources Information Center

Burke, Michael J.; Salvador, Rommel O.; Smith-Crowe, Kristin; Chan-Serafin, Suzanne; Smith, Alexis; Sonesh, Shirley

2011-01-01

On the basis of hypotheses derived from social and experiential learning theories, we meta-analytically investigated how safety training and workplace hazards impact the development of safety knowledge and safety performance. The results were consistent with an expected interaction between the level of engagement of safety training and hazardous…

Entrepreneurial Training: A Comparative Study across Fifteen European Countries

ERIC Educational Resources Information Center

Matricano, Diego

2014-01-01

This paper arises from the contents of the Lisbon Strategy, a set of cooperation policies stressing the role of education and training. The findings from a comparative study of the influence that entrepreneurial training--classified as formal or informal--can have on start-up expectations are analysed. The study covers fifteen European countries…

The Relationship between Job Dissatisfaction and Training Transfer

ERIC Educational Resources Information Center

Jodlbauer, Susanne; Selenko, Eva; Batinic, Bernad; Stiglbauer, Barbara

2012-01-01

The high rates of training transfer failure that prevail still puzzle practitioners as well as researchers. The central aim of the present study is to analyze the relatively under-researched role of job dissatisfaction in the training transfer process. Specifically, we expect that job dissatisfaction would have a negative effect on transfer but…

Development and implementation of centralized simulation training: evaluation of feasibility, acceptability and construct validity.

PubMed

Shamim Khan, Mohammad; Ahmed, Kamran; Gavazzi, Andrea; Gohil, Rishma; Thomas, Libby; Poulsen, Johan; Ahmed, Munir; Jaye, Peter; Dasgupta, Prokar

2013-03-01

WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: A competent urologist should not only have effective technical skills, but also other attributes that would make him/her a complete surgeon. These include team-working, communication and decision-making skills. Although evidence for effectiveness of simulation exists for individual simulators, there is a paucity of evidence for utility and effectiveness of these simulators in training programmes that aims to combine technical and non-technical skills training. This article explains the process of development and validation of a centrally coordinated simulation program (Participants - South-East Region Specialist Registrars) under the umbrella of the British Association for Urological Surgeons (BAUS) and the London Deanery. This program incorporated training of both technical (synthetic, animal and virtual reality models) and non-technical skills (simulated operating theatres). To establish the feasibility and acceptability of a centralized, simulation-based training-programme. Simulation is increasingly establishing its role in urological training, with two areas that are relevant to urologists: (i) technical skills and (ii) non-technical skills. For this London Deanery supported pilot Simulation and Technology enhanced Learning Initiative (STeLI) project, we developed a structured multimodal simulation training programme. The programme incorporated: (i) technical skills training using virtual-reality simulators (Uro-mentor and Perc-mentor [Symbionix, Cleveland, OH, USA], Procedicus MIST-Nephrectomy [Mentice, Gothenburg, Sweden] and SEP Robotic simulator [Sim Surgery, Oslo, Norway]); bench-top models (synthetic models for cystocopy, transurethral resection of the prostate, transurethral resection of bladder tumour, ureteroscopy); and a European (Aalborg, Denmark) wet-lab training facility; as well as (ii) non-technical skills/crisis resource management (CRM), using SimMan (Laerdal Medical Ltd, Orpington, UK) to teach team-working, decision-making and communication skills. The feasibility, acceptability and construct validity of these training modules were assessed using validated questionnaires, as well as global and procedure/task-specific rating scales. In total 33, three specialist registrars of different grades and five urological nurses participated in the present study. Construct-validity between junior and senior trainees was significant. Of the participants, 90% rated the training models as being realistic and easy to use. In total 95% of the participants recommended the use of simulation during surgical training, 95% approved the format of the teaching by the faculty and 90% rated the sessions as well organized. A significant number of trainees (60%) would like to have easy access to a simulation facility to allow more practice and enhancement of their skills. A centralized simulation programme that provides training in both technical and non-technical skills is feasible. It is expected to improve the performance of future surgeons in a simulated environment and thus improve patient safety. © 2012 BJU International.

Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study

PubMed Central

Román, Francisco J.; Lewis, Lindsay B.; Chen, Chi-Hua; Karama, Sherif; Burgaleta, Miguel; Martínez, Kenia; Lepage, Claude; Jaeggi, Susanne M.; Evans, Alan C.; Kremen, William S.

2016-01-01

Here we analyze gray matter indices before and after completing a challenging adaptive cognitive training program based on the n-back task. The considered gray matter indices were cortical thickness (CT) and cortical surface area (CSA). Twenty-eight young women (age range 17–22 years) completed 24 training sessions over the course of 3 months (12 weeks, 24 sessions), showing expected performance improvements. CT and CSA values for the training group were compared with those of a matched control group. Statistical analyses were computed using a ROI framework defined by brain areas distinguished by their genetic underpinning. The interaction between group and time was analyzed. Middle temporal, ventral frontal, inferior parietal cortices, and pars opercularis were the regions where the training group showed conservation of gray matter with respect to the control group. These regions support working memory, resistance to interference, and inhibition. Furthermore, an interaction with baseline intelligence differences showed that the expected decreasing trend at the biological level for individuals showing relatively low intelligence levels at baseline was attenuated by the completed training. PMID:26701168

Evaluation of an interview training course for general practitioners.

PubMed

Bensing, J M; Sluijs, E M

1985-01-01

This article describes the evaluation of an experimental training in doctor-patient communication for general practitioners. The training was based on Rogerian theory and accommodated to the specific situation of the general practitioner. The main concept of this theory is the notion of 'unconditional positive regard'. It was expected that doctors would change their communication behaviour and that as a result patients would talk more about their psychosocial problems. The training was restricted to the diagnostic process, no therapeutic interventions were taught. The effects of this training have been measured by comparing video-tapes of live doctor-patient consultations, before and 3 months after the training. The most important result of this evaluation study turned out to be the change of the doctor's behaviour in the expected direction, but surprisingly the outcome of the consultation did not change at all: the doctors were empathically listening, but the patients did not talk more about their problems. Creating room for patients is not sufficient to induce them to discuss their personal problems with their doctors. Perhaps they do not feel like discussing their personal problems with them at all.

The effects of resistance training prioritization in NCAA Division I Football summer training.

PubMed

Smith, Robert A; Martin, Gerard J; Szivak, Tunde K; Comstock, Brett A; Dunn-Lewis, Courtenay; Hooper, David R; Flanagan, Shawn D; Looney, David P; Volek, Jeff S; Maresh, Carl M; Kraemer, William J

2014-01-01

Resistance training (RT) is an integral part of National Collegiate Athletic Association (NCAA) Division I Football performance programs. In the sport of football, there are several components that a strength and conditioning coach must be aware of. These include body mass, size, strength, power, speed, conditioning, and injury prevention, among others. The purpose of this study was to investigate if the RT component of a performance program could be prioritized for specific results using a nonlinear training model, grouping athletes by eligibility year. The NCAA Division I football student athletes were placed into 3 separate groups based on the playing year. All subjects participated in a 10-week, 4 days·week-1 off-season summer resistance training program. The training of group 1 (n = 20, age: 18.95 ± 0.76 years, height: 186.63 ± 7.21 cm, body mass: 97.66 ± 18.17 kg, playing year: 1.05 ± 0.22 years) prioritized hypertrophy-based RT to gain body mass. The training of group 2 (n = 20, age: 20.05 ± 1.05 years, height: 189.42 ± 5.49 cm, body mass: 106.99 ± 13.53 kg, and playing year: 2.35 ± 0.75 years) prioritized strength-based RT to gain strength. The training of group 3 (n = 20, age: 21.05 ± 1.10 years, height: 186.56 ± 6.73 cm, body mass: 109.8 ± 19.96 kg, playing year: 4.4 ± 0.50 years) prioritized power-based RT to gain power. Performance tests were evaluated during the first weeks of March (Spring) and August (Fall). The test measures included body mass (kilograms), 1-repetition maximum (1RM) bench press (kilograms), 1RM back squat (kilograms), 1RM power clean (kilograms), and countermovement vertical jump (CMVJ) height (centimeters). The primary findings of this investigation were as follows: group 1 saw significant increases in bench press maximum, back squat maximum, and power clean maximum (p ≤ 0.05). Group 2 saw significant increases in bench press maximum, back squat maximum, and power clean maximum (p ≤ 0.05). Group 3 saw a significant increase in power clean maximum (p ≤ 0.05). Group 1's significant increases were expected because of their low training age relatively shorter training history when compared with Groups 2 and 3. Group 1 did not see significant increases in body mass, with 7 out of 20 subjects being nonresponders. Group 2 and 3's significant increases were expected. Unexpectedly, no group saw significant increases in maximum CMVJ height. With so many factors that go into a football performance program contributing to football performance programing, it seems difficult to prioritize 1 RT goal over another without neglecting others during 10-week summer training program. Prioritization of strength appears to have the best overall affect on the RT portion of an off-season football performance program. Nonlinear periodization allows for the prioritization of 1 training goal without disregarding others with a smaller risk of neglecting other important components. This investigation showed that a performance program with a nonlinear model and prioritization on strength had produced the most desirable results.

Human Performance Modeling and Simulation for Launch Team Applications

NASA Technical Reports Server (NTRS)

Peaden, Cary J.; Payne, Stephen J.; Hoblitzell, Richard M., Jr.; Chandler, Faith T.; LaVine, Nils D.; Bagnall, Timothy M.

2006-01-01

This paper describes ongoing research into modeling and simulation of humans for launch team analysis, training, and evaluation. The initial research is sponsored by the National Aeronautics and Space Administration's (NASA)'s Office of Safety and Mission Assurance (OSMA) and NASA's Exploration Program and is focused on current and future launch team operations at Kennedy Space Center (KSC). The paper begins with a description of existing KSC launch team environments and procedures. It then describes the goals of new Simulation and Analysis of Launch Teams (SALT) research. The majority of this paper describes products from the SALT team's initial proof-of-concept effort. These products include a nominal case task analysis and a discrete event model and simulation of launch team performance during the final phase of a shuttle countdown; and a first proof-of-concept training demonstration of launch team communications in which the computer plays most roles, and the trainee plays a role of the trainee's choice. This paper then describes possible next steps for the research team and provides conclusions. This research is expected to have significant value to NASA's Exploration Program.

Extinction of cue-evoked drug-seeking relies on degrading hierarchical instrumental expectancies

PubMed Central

Hogarth, Lee; Retzler, Chris; Munafò, Marcus R.; Tran, Dominic M.D.; Troisi, Joseph R.; Rose, Abigail K.; Jones, Andrew; Field, Matt

2014-01-01

There has long been need for a behavioural intervention that attenuates cue-evoked drug-seeking, but the optimal method remains obscure. To address this, we report three approaches to extinguish cue-evoked drug-seeking measured in a Pavlovian to instrumental transfer design, in non-treatment seeking adult smokers and alcohol drinkers. The results showed that the ability of a drug stimulus to transfer control over a separately trained drug-seeking response was not affected by the stimulus undergoing Pavlovian extinction training in experiment 1, but was abolished by the stimulus undergoing discriminative extinction training in experiment 2, and was abolished by explicit verbal instructions stating that the stimulus did not signal a more effective response-drug contingency in experiment 3. These data suggest that cue-evoked drug-seeking is mediated by a propositional hierarchical instrumental expectancy that the drug-seeking response is more likely to be rewarded in that stimulus. Methods which degraded this hierarchical expectancy were effective in the laboratory, and so may have therapeutic potential. PMID:25011113

Effects of tunnel and station size on the costs and service of subway transit systems

NASA Technical Reports Server (NTRS)

Dayman, B., Jr.

1979-01-01

The feasibility of less spacious, less costly underground rail mass transit system designs is studied. The major cost saving expected from alternative tunnel designs results from using precast concrete segment liners in place of steel. The saying expected for a two-foot decrease in the diameter of twin, single track tunnels is about two million dollars per route mile from 13 million dollars for precast concrete segment liners (a saving of about 16%). The cost per route-mile of a double track tunnel appears to be 15 to 25% higher than for the twin, single track tunnels. The effective cost saving expected from stations with four-car train capability instead of the usual eight-car trains is nearly 25% or seven million dollars per route mile. The saving in station costs can be obtained while improving service to the user (lower transit time and less waiting for trains) up to a capacity of 36,000 riders per hour in each direction.

Exploring Summer Medical Care Within the National Collegiate Athletic Association Division I Setting: A Perspective From the Athletic Trainer.

PubMed

Mazerolle, Stephanie M; Eason, Christianne M; Goodman, Ashley

2016-02-01

Over the last few decades, the National Collegiate Athletics Association (NCAA) has made changes related to the increase in sanctioned team activities during summer athletics. These changes may affect how athletic training services are provided. To investigate the methods by which athletic training departments of NCAA institutions manage expectations regarding athletic training services during the summer. Mixed-methods qualitative and quantitative study. The NCAA Division I. Twenty-two athletic trainers (13 men, 9 women) participated. All were employed full time within the NCAA Division I setting. Participants were 35 ± 8 years of age (range, 26-52 years), with 12 ± 7 years (range, 3-29 years) of athletic training experience. All participants completed a series of questions online that consisted of closed- (demographic and Likert-scale 5-point) and open-ended items that addressed the research questions. Descriptive statistics, frequency distributions, and phenomenologic analyses were completed with the data. Peer review and multiple-analyst triangulation established credibility. Summer athletic training services included 3 primary mechanisms: individual medical care, shared medical care, or a combination of the 2. Participants reported working 40 ± 10 hours during the summer. Likert-item analysis showed that participants were moderately satisfied with their summer medical care structure (3.3 ± 1.0) and with the flexibility of summer schedules (3.0 ± 1.2). Yet the qualitative analysis revealed that perceptions of summer medical care were more positive for shared-care participants than for individual- or combination-care participants. The perceived effect on the athletic trainer included increased workload and expectations and a negative influence on work-life balance, particularly in terms of decreased schedule flexibility and opportunities for rejuvenation. For many, the summer season mimicked the hours, workload, and expectations of the nontraditional season. The NCAA rule changes and medical care expectations affected the summer workload of athletic trainers, but job sharing seemed to help them manage conflict associated with providing summer athletic training services.

An approach based on Hierarchical Bayesian Graphical Models for measurement interpretation under uncertainty

NASA Astrophysics Data System (ADS)

Skataric, Maja; Bose, Sandip; Zeroug, Smaine; Tilke, Peter

2017-02-01

It is not uncommon in the field of non-destructive evaluation that multiple measurements encompassing a variety of modalities are available for analysis and interpretation for determining the underlying states of nature of the materials or parts being tested. Despite and sometimes due to the richness of data, significant challenges arise in the interpretation manifested as ambiguities and inconsistencies due to various uncertain factors in the physical properties (inputs), environment, measurement device properties, human errors, and the measurement data (outputs). Most of these uncertainties cannot be described by any rigorous mathematical means, and modeling of all possibilities is usually infeasible for many real time applications. In this work, we will discuss an approach based on Hierarchical Bayesian Graphical Models (HBGM) for the improved interpretation of complex (multi-dimensional) problems with parametric uncertainties that lack usable physical models. In this setting, the input space of the physical properties is specified through prior distributions based on domain knowledge and expertise, which are represented as Gaussian mixtures to model the various possible scenarios of interest for non-destructive testing applications. Forward models are then used offline to generate the expected distribution of the proposed measurements which are used to train a hierarchical Bayesian network. In Bayesian analysis, all model parameters are treated as random variables, and inference of the parameters is made on the basis of posterior distribution given the observed data. Learned parameters of the posterior distribution obtained after the training can therefore be used to build an efficient classifier for differentiating new observed data in real time on the basis of pre-trained models. We will illustrate the implementation of the HBGM approach to ultrasonic measurements used for cement evaluation of cased wells in the oil industry.

THERMAL NON-EQUILIBRIUM REVEALED BY PERIODIC PULSES OF RANDOM AMPLITUDES IN SOLAR CORONAL LOOPS

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

Auchère, F.; Froment, C.; Bocchialini, K.

2016-08-20

We recently detected variations in extreme ultraviolet intensity in coronal loops repeating with periods of several hours. Models of loops including stratified and quasi-steady heating predict the development of a state of thermal non-equilibrium (TNE): cycles of evaporative upflows at the footpoints followed by falling condensations at the apex. Based on Fourier and wavelet analysis, we demonstrate that the observed periodic signals are indeed not signatures of vibrational modes. Instead, superimposed on the power law expected from the stochastic background emission, the power spectra of the time series exhibit the discrete harmonics and continua expected from periodic trains of pulsesmore » of random amplitudes. These characteristics reinforce our earlier interpretation of these pulsations as being aborted TNE cycles.« less

Modulation of Auditory Cortex Response to Pitch Variation Following Training with Microtonal Melodies

PubMed Central

Zatorre, Robert J.; Delhommeau, Karine; Zarate, Jean Mary

2012-01-01

We tested changes in cortical functional response to auditory patterns in a configural learning paradigm. We trained 10 human listeners to discriminate micromelodies (consisting of smaller pitch intervals than normally used in Western music) and measured covariation in blood oxygenation signal to increasing pitch interval size in order to dissociate global changes in activity from those specifically associated with the stimulus feature that was trained. A psychophysical staircase procedure with feedback was used for training over a 2-week period. Behavioral tests of discrimination ability performed before and after training showed significant learning on the trained stimuli, and generalization to other frequencies and tasks; no learning occurred in an untrained control group. Before training the functional MRI data showed the expected systematic increase in activity in auditory cortices as a function of increasing micromelody pitch interval size. This function became shallower after training, with the maximal change observed in the right posterior auditory cortex. Global decreases in activity in auditory regions, along with global increases in frontal cortices also occurred after training. Individual variation in learning rate was related to the hemodynamic slope to pitch interval size, such that those who had a higher sensitivity to pitch interval variation prior to learning achieved the fastest learning. We conclude that configural auditory learning entails modulation in the response of auditory cortex to the trained stimulus feature. Reduction in blood oxygenation response to increasing pitch interval size suggests that fewer computational resources, and hence lower neural recruitment, is associated with learning, in accord with models of auditory cortex function, and with data from other modalities. PMID:23227019

Postdoctoral Clinical-Research Training in Psychiatry

PubMed Central

Reynolds, Charles F.; Martin, Christopher; Brent, David; Ryan, Neal; Dahl, Ronald E.; Pilkonis, Paul; Marcus, Marsha D.; Kupfer, David J.

2009-01-01

The authors describe a model for teaching grant writing and other research survival skills to postdoctoral clinical-research fellows in psychiatry and for improving research mentoring. Over the past 4 years, the authors have developed a course on writing grant applications for postdoctoral clinical-research fellows, using peer-review processes modeled after a National Institutes of Health study section. At the same time, the authors have clarified expectations of mentors in ways designed to help fellows prepare “K” (Research Career Development) applications and to receive mentored practice in skills being taught in the course. Sixteen of 30 fellows have succeeded in receiving their first extramural support by the end of their two-year fellowship tenure or during the succeeding year. The authors conclude that by teaching grant-writing skills in a supportive peer environment, providing peer review of proposals, and sharpening expectations of mentors, it may be possible to reduce the time between the end of fellowship and the receipt of the first extramural grant. PMID:19617924

Is Matching Innate?

PubMed Central

Gallistel, C.R; King, Adam Philip; Gottlieb, Daniel; Balci, Fuat; Papachristos, Efstathios B; Szalecki, Matthew; Carbone, Kimberly S

2007-01-01

Experimentally naive mice matched the proportions of their temporal investments (visit durations) in two feeding hoppers to the proportions of the food income (pellets per unit session time) derived from them in three experiments that varied the coupling between the behavioral investment and food income, from no coupling to strict coupling. Matching was observed from the outset; it did not improve with training. When the numbers of pellets received were proportional to time invested, investment was unstable, swinging abruptly from sustained, almost complete investment in one hopper, to sustained, almost complete investment in the other—in the absence of appropriate local fluctuations in returns (pellets obtained per time invested). The abruptness of the swings strongly constrains possible models. We suggest that matching reflects an innate (unconditioned) program that matches the ratio of expected visit durations to the ratio between the current estimates of expected incomes. A model that processes the income stream looking for changes in the income and generates discontinuous income estimates when a change is detected is shown to account for salient features of the data. PMID:17465311

Is matching innate?

PubMed

Gallistel, C R; King, Adam Philip; Gottlieb, Daniel; Balci, Fuat; Papachristos, Efstathios B; Szalecki, Matthew; Carbone, Kimberly S

2007-03-01

Experimentally naive mice matched the proportions of their temporal investments (visit durations) in two feeding hoppers to the proportions of the food income (pellets per unit session time) derived from them in three experiments that varied the coupling between the behavioral investment and food income, from no coupling to strict coupling. Matching was observed from the outset; it did not improve with training. When the numbers of pellets received were proportional to time invested, investment was unstable, swinging abruptly from sustained, almost complete investment in one hopper, to sustained, almost complete investment in the other-in the absence of appropriate local fluctuations in returns (pellets obtained per time invested). The abruptness of the swings strongly constrains possible models. We suggest that matching reflects an innate (unconditioned) program that matches the ratio of expected visit durations to the ratio between the current estimates of expected incomes. A model that processes the income stream looking for changes in the income and generates discontinuous income estimates when a change is detected is shown to account for salient features of the data.

Mission leverage education: NSU/NASA innovative undergraduate model

NASA Technical Reports Server (NTRS)

Chaudhury, S. Raj; Shaw, Paula R. D.

2005-01-01

The BEST Lab (Center for Excellence in Science Education), the Center for Materials Research (CMR), and the Chemistry, Mathematics, Physics, and Computer Science (CS) Departments at Norfolk State University (NSU) joined forces to implement MiLEN(2) IUM - an innovative approach tu integrate current and emerging research into the undergraduate curricula and train students on NASA-related fields. An Earth Observing System (EOS) mission was simulated where students are educated and trained in many aspects of Remote Sensing: detector physics and spectroscopy; signal processing; data conditioning, analysis, visualization; and atmospheric science. This model and its continued impact is expected to significantly enhance the quality of the Mathematics, Science, Engineering and Technology (MSET or SMET) educational experience and to inspire students from historically underrepresented groups to pursue careers in NASA-related fields. MiLEN(2) IUM will be applicable to other higher education institutions that are willing to make the commitment to this endeavor in terms of faculty interest and space.

a Study on Strain Rate Effect in Collision Analysis of Rolling STOCK

NASA Astrophysics Data System (ADS)

Kim, Seung Rok; Koo, Jeong Seo

In this paper, the strain rate effect of energy absorption members in rolling stock is studied using the virtual testing model (VTM) for Korean high speed train (KHST). The VTM of KHST was simulated for two different strain rate conditions. The VTM is composed of FE models for structures, and nonlinear spring/damper models for dynamic components. To simplify numerical model for the full rake KHST, the first three units consist of full flexible multi-body dynamic models, and the remainder does 1-D spring/damper/mass models. To evaluate the strain rate effect of KHST, the crash simulation was performed under the accident scenario for a collision with a rigid mass of 15 tons at 110kph. The numerical results show that the overall crash response of the train is not largely affected as much as expected, but individual components have some different deformations according to strain rate. The deformation of the front end structure without strain rate effect is larger than that with it. However, the deformation of the rear end structure without strain rate effect is smaller than that with it. Finally, the intrusion of the driver's cabin is overestimated for no strain rate effect when compared to the case with it.

Computer literacy: Where are nurse educators on the continuum?

PubMed

Hanley, Elizabeth

2006-01-01

Computers are becoming ubiquitous in health and education, and it is expected that nurses from undergraduate nursing programmes are computer literate when they enter the workforce. Similarly nurse educators are expected to be computer literate to model the use of information technology in their workplace. They are expected to use email for communication and a range of computer applications for presentation of course materials and reports. Additionally, as more courses are delivered in flexible mode, educators require more comprehensive computing skills, including confidence and competence in a range of applications. A cohort of nurse educators from one tertiary institution was surveyed to assess their perceived computer literacy and how they attained this. A questionnaire that covered seven domains of computer literacy was used to assess this. The results were illuminating and identified specific training needs for this group. Their perceived lack of skill with Groupwise email and the student database program are of concern as these are essential tools for nurse educators at this polytechnic.

Practitioner Expectations and Experiences with the Certificate IV in Training and Assessment (TAA40104). A National Vocational Education and Training Research and Evaluation Program Report

ERIC Educational Resources Information Center

Clayton, Berwyn; Meyers, Dave; Bateman, Andrea; Bluer, Robert

2010-01-01

The Certificate IV in Training and Assessment (TAA40104) is seen as the standard entry-level teaching qualification in the vocational education and training (VET) sector. The qualification is widely accepted and well supported as an essential requirement for VET practitioners. However, it has been criticised in relation to its ability to provide…

Startle stimuli reduce the internal model control in discrete movements.

PubMed

Wright, Zachary A; Rogers, Mark W; MacKinnon, Colum D; Patton, James L

2009-01-01

A well known and major component of movement control is the feedforward component, also known as the internal model. This model predicts and compensates for expected forces seen during a movement, based on recent experience, so that a well-learned task such as reaching to a target can be executed in a smooth straight manner. It has recently been shown that the state of preparation of planned movements can be tested using a startling acoustic stimulus (SAS). SAS, presented 500, 250 or 0 ms before the expected "go" cue resulted in the early release of the movement trajectory associated with the after-effects of the force field training (i.e. the internal model). In a typical motor adaptation experiment with a robot-applied force field, we tested if a SAS stimulus influences the size of after-effects that are typically seen. We found that in all subjects the after-effect magnitudes were significantly reduced when movements were released by SAS, although this effect was not further modulated by the timing of SAS. Reduced after-effects reveal at least partial existence of learned preparatory control, and identify startle effects that could influence performance in tasks such as piloting, teleoperation, and sports.

Development of an educational simulator system, ECCSIM-Lite, for the acquisition of basic perfusion techniques and evaluation.

PubMed

Ninomiya, Shinji; Tokumine, Asako; Yasuda, Toru; Tomizawa, Yasuko

2007-01-01

A training system with quantitative evaluation of performance for training perfusionists is valuable for preparation for rare but critical situations. A simulator system, ECCSIM-Lite, for extracorporeal circulation (ECC) training of perfusionists was developed. This system consists of a computer system containing a simulation program of the hemodynamic conditions and the training scenario with instructions, a flow sensor unit, a reservoir with a built-in water level sensor, and an ECC circuit with a soft bag representing the human body. This system is relatively simple, easy to handle, compact, and reasonably inexpensive. Quantitative information is recorded, including the changes in arterial flow by the manipulation of a knob, the changes in venous drainage by handling a clamp, and the change in reservoir level; the time courses of the above parameters are presented graphically. To increase the realism of the training, a numerical-hydraulic circulatory model was applied. Following the instruction and explanation of the scenario in the form of audio and video captions, it is possible for a trainee to undertake self-study without an instructor or a computer operator. To validate the system, a training session was given to three beginners using a simple training scenario; it was possible to record the performance of the perfusion sessions quantitatively. In conclusion, the ECCSIM-Lite system is expected to be useful for perfusion training, since quantitative information about the trainee's performance is recorded and it is possible to use the data for assessment and comparison.

Between trust and accountability: different perspectives on the modernization of postgraduate medical training in the Netherlands.

PubMed

Wallenburg, Iris; van Exel, Job; Stolk, Elly; Scheele, Fedde; de Bont, Antoinette; Meurs, Pauline

2010-06-01

Postgraduate medical training was reformed to be more responsive to changing societal needs. In the Netherlands, as in various other Western countries, a competency-based curriculum was introduced reflecting the clinical and nonclinical roles a modern doctor should fulfill. It is still unclear, however, what this modernization process exactly comprises and what its consequences might be for clinical practice and medical work. The authors conducted a Q methodological study to investigate which different perspectives exist on the modernization of postgraduate medical training among actors involved. The authors found four distinct perspectives, reflecting the different features of medical training. The accountability perspective stresses the importance of formal regulations within medical training and the monitoring of results in order to be more transparent and accountable to society. According to the educational perspective, medical training should be more formalized and directed at the educational process. The work-life balance perspective stresses the balance between a working life and a private life, as well as the changing professional relationship between staff members and residents. The trust-based perspective reflects the classic view of medical training in which role modeling and trust are considered most important. The four perspectives on the modernization of postgraduate medical training show that various aspects of the modernization process are valued differently by stakeholders, highlighting important sources of agreement and disagreement between them. An important source of disagreement is diverging expectations of the role of physicians in modern medical practice.

Older Adults' Engagement During an Intervention Involving Off-the-Shelf Videogame

PubMed Central

Marsiske, Michael; Leite, Walter L.; Yam, Anna; Thomas, Kelsey; Mann, William

2016-01-01

Abstract Objective: The overall goal of our current study was to examine older adults' experience of Flow (i.e., subjective engagement) during the course of a home-based cognitive training program. Materials and Methods: In this study, participants took part in a home-based training program. They were randomized to one of the two training groups. One group played an off-the-shelf videogame (i.e., Crazy Taxi), and the other group played a brain training game (i.e., Insight). Training consisted of 60 training sessions of 1 hour each, which were completed in 3 months (5 hours a week). After each training session, participants completed a Flow questionnaire to measure their engagement with the training. Results: The analysis was performed with a linear growth curve model. The results indicate that on average, there was no change in flow for the Insight group between time points. There was no difference between the initial flow status of the Insight group and the Crazy Taxi group. However, the interaction between group membership and time was statistically significant, indicating that the participants in the Crazy Taxi group increased their scores at each week at a rate that was 0.99 larger than those in the Insight group. Conclusion: The analyses revealed that both groups experienced increase in Flow over the period, but only participants in the Crazy Taxi group significantly improved in Flow. This has long-term implications since we would expect participation to go beyond 12 weeks in a real-world scenario. PMID:27310479

Older Adults' Engagement During an Intervention Involving Off-the-Shelf Videogame.

PubMed

Belchior, Patrícia; Marsiske, Michael; Leite, Walter L; Yam, Anna; Thomas, Kelsey; Mann, William

2016-06-01

The overall goal of our current study was to examine older adults' experience of Flow (i.e., subjective engagement) during the course of a home-based cognitive training program. In this study, participants took part in a home-based training program. They were randomized to one of the two training groups. One group played an off-the-shelf videogame (i.e., Crazy Taxi), and the other group played a brain training game (i.e., Insight). Training consisted of 60 training sessions of 1 hour each, which were completed in 3 months (5 hours a week). After each training session, participants completed a Flow questionnaire to measure their engagement with the training. The analysis was performed with a linear growth curve model. The results indicate that on average, there was no change in flow for the Insight group between time points. There was no difference between the initial flow status of the Insight group and the Crazy Taxi group. However, the interaction between group membership and time was statistically significant, indicating that the participants in the Crazy Taxi group increased their scores at each week at a rate that was 0.99 larger than those in the Insight group. The analyses revealed that both groups experienced increase in Flow over the period, but only participants in the Crazy Taxi group significantly improved in Flow. This has long-term implications since we would expect participation to go beyond 12 weeks in a real-world scenario.

A Regions of Confidence Based Approach to Enhance Segmentation with Shape Priors.

PubMed

Appia, Vikram V; Ganapathy, Balaji; Abufadel, Amer; Yezzi, Anthony; Faber, Tracy

2010-01-18

We propose an improved region based segmentation model with shape priors that uses labels of confidence/interest to exclude the influence of certain regions in the image that may not provide useful information for segmentation. These could be regions in the image which are expected to have weak, missing or corrupt edges or they could be regions in the image which the user is not interested in segmenting, but are part of the object being segmented. In the training datasets, along with the manual segmentations we also generate an auxiliary map indicating these regions of low confidence/interest. Since, all the training images are acquired under similar conditions, we can train our algorithm to estimate these regions as well. Based on this training we will generate a map which indicates the regions in the image that are likely to contain no useful information for segmentation. We then use a parametric model to represent the segmenting curve as a combination of shape priors obtained by representing the training data as a collection of signed distance functions. We evolve an objective energy functional to evolve the global parameters that are used to represent the curve. We vary the influence each pixel has on the evolution of these parameters based on the confidence/interest label. When we use these labels to indicate the regions with low confidence; the regions containing accurate edges will have a dominant role in the evolution of the curve and the segmentation in the low confidence regions will be approximated based on the training data. Since our model evolves global parameters, it improves the segmentation even in the regions with accurate edges. This is because we eliminate the influence of the low confidence regions which may mislead the final segmentation. Similarly when we use the labels to indicate the regions which are not of importance, we will get a better segmentation of the object in the regions we are interested in.

PCTO-SIM: Multiple-point geostatistical modeling using parallel conditional texture optimization

NASA Astrophysics Data System (ADS)

Pourfard, Mohammadreza; Abdollahifard, Mohammad J.; Faez, Karim; Motamedi, Sayed Ahmad; Hosseinian, Tahmineh

2017-05-01

Multiple-point Geostatistics is a well-known general statistical framework by which complex geological phenomena have been modeled efficiently. Pixel-based and patch-based are two major categories of these methods. In this paper, the optimization-based category is used which has a dual concept in texture synthesis as texture optimization. Our extended version of texture optimization uses the energy concept to model geological phenomena. While honoring the hard point, the minimization of our proposed cost function forces simulation grid pixels to be as similar as possible to training images. Our algorithm has a self-enrichment capability and creates a richer training database from a sparser one through mixing the information of all surrounding patches of the simulation nodes. Therefore, it preserves pattern continuity in both continuous and categorical variables very well. It also shows a fuzzy result in its every realization similar to the expected result of multi realizations of other statistical models. While the main core of most previous Multiple-point Geostatistics methods is sequential, the parallel main core of our algorithm enabled it to use GPU efficiently to reduce the CPU time. One new validation method for MPS has also been proposed in this paper.

Training strategies and outcomes of ab interno trabeculectomy with the trabectome

PubMed Central

Fallano, Katherine; Bussel, Igor; Kagemann, Larry; Lathrop, Kira L.; Loewen, Nils

2017-01-01

Plasma-mediated ab interno trabeculectomy with the trabectome was first approved by the US Food and Drug Administration in 2004 for use in adult and pediatric glaucomas. Since then, increased clinical experience and updated outcome data have led to its expanded use, including a range of glaucomas and angle presentations, previously deemed to be relatively contraindicated. The main benefits are a high degree of safety, ease, and speed compared to traditional filtering surgery and tube shunts. The increasing burden of glaucoma and expanding life expectancy has resulted in demand for well-trained surgeons. In this article, we discuss the results of trabectome surgery in standard and nonstandard indications. We present training strategies of the surgical technique that include a pig eye model, and visualization exercises that can be performed before and at the conclusion of standard cataract surgery in patients who do not have glaucoma. We detail the mechanism of enhancing the conventional outflow pathway and describe methods of visualization and function testing. PMID:28529695

Charting the Road to Competence: Developmental Milestones for Internal Medicine Residency Training

PubMed Central

Green, Michael L.; Aagaard, Eva M.; Caverzagie, Kelly J.; Chick, Davoren A.; Holmboe, Eric; Kane, Gregory; Smith, Cynthia D.; Iobst, William

2009-01-01

Background The Accreditation Council for Graduate Medical Education (ACGME) Outcome Project requires that residency program directors objectively document that their residents achieve competence in 6 general dimensions of practice. Intervention In November 2007, the American Board of Internal Medicine (ABIM) and the ACGME initiated the development of milestones for internal medicine residency training. ABIM and ACGME convened a 33-member milestones task force made up of program directors, experts in evaluation and quality, and representatives of internal medicine stakeholder organizations. This article reports on the development process and the resulting list of proposed milestones for each ACGME competency. Outcomes The task force adopted the Dreyfus model of skill acquisition as a framework the internal medicine milestones, and calibrated the milestones with the expectation that residents achieve, at a minimum, the “competency” level in the 5-step progression by the completion of residency. The task force also developed general recommendations for strategies to evaluate the milestones. Discussion The milestones resulting from this effort will promote competency-based resident education in internal medicine, and will allow program directors to track the progress of residents and inform decisions regarding promotion and readiness for independent practice. In addition, the milestones may guide curriculum development, suggest specific assessment strategies, provide benchmarks for resident self-directed assessment-seeking, and assist remediation by facilitating identification of specific deficits. Finally, by making explicit the profession's expectations for graduates and providing a degree of national standardization in evaluation, the milestones may improve public accountability for residency training. PMID:21975701

Procrastination at work and time management training.

PubMed

Van Eerde, Wendelien

2003-09-01

The author examined the impact of time management training on self-reported procrastination. In an intervention study, 37 employees attended a 1 1/2-day time management training seminar. A control group of employees (n = 14) who were awaiting training also participated in the study to control for expectancy effects. One month after undergoing time management training, trainees reported a significant decrease in avoidance behavior and worry and an increase in their ability to manage time. The results suggest that time management training is helpful in lessening worry and procrastination at work.

Cost-effectiveness of diabetes case management for low-income populations.

PubMed

Gilmer, Todd P; Roze, Stéphane; Valentine, William J; Emy-Albrecht, Katrina; Ray, Joshua A; Cobden, David; Nicklasson, Lars; Philis-Tsimikas, Athena; Palmer, Andrew J

2007-10-01

To evaluate the cost-effectiveness of Project Dulce, a culturally specific diabetes case management and self-management training program, in four cohorts defined by insurance status. Clinical and cost data on 3,893 persons with diabetes participating in Project Dulce were used as inputs into a diabetes simulation model. The Center for Outcomes Research Diabetes Model, a published, peer-reviewed and validated simulation model of diabetes, was used to evaluate life expectancy, quality-adjusted life expectancy (QALY), cumulative incidence of complications and direct medical costs over patient lifetimes (40-year time horizon) from a third-party payer perspective. Cohort characteristics, treatment effects, and case management costs were derived using a difference in difference design comparing data from the Project Dulce program to a cohort of historical controls. Long-term costs were derived from published U.S. sources. Costs and clinical benefits were discounted at 3.0 percent per annum. Sensitivity analyses were performed. Incremental cost-effectiveness ratios of $10,141, $24,584, $44,941, and $69,587 per QALY gained were estimated for Project Dulce participants versus control in the uninsured, County Medical Services, Medi-Cal, and commercial insurance cohorts, respectively. The Project Dulce diabetes case management program was associated with cost-effective improvements in quality-adjusted life expectancy and decreased incidence of diabetes-related complications over patient lifetimes. Diabetes case management may be particularly cost effective for low-income populations.

Current integrated cardiothoracic surgery residents: a Thoracic Surgery Residents Association survey.

PubMed

Tchantchaleishvili, Vakhtang; LaPar, Damien J; Stephens, Elizabeth H; Berfield, Kathleen S; Odell, David D; DeNino, Walter F

2015-03-01

After approval by the Thoracic Surgery Residency Review Committee in 2007, 6-year integrated cardiothoracic surgery (I-6) residency programs have gained in popularity. We sought to assess and objectively quantify the level of satisfaction I-6 residents have with their training and to identify areas of improvement for future curriculum development. A completely anonymous, electronic survey was created by the Thoracic Surgery Residents Association that asked the responders to provide demographic information, specialty interest, and lifestyle priorities, and to rate their experience and satisfaction with I-6 residency. The survey was distributed nationwide to all residents in I-6 programs approved by the Accreditation Council for Graduate Medical Education. Of a total of 88 eligible I-6 residents, 49 completed the survey (55.7%). Career choice satisfaction was high (75.5%), as was overall satisfaction with integrated training (83.7%). The majority (77.6%) were interested in cardiac surgery. Overall, the responders reported sufficient time for life outside of the hospital (57.1%), but experienced conflicts between work obligations and personal life at least sometimes (75.5%). Early exposure to cardiothoracic surgery was reported as the dominant advantage of the I-6 model, whereas variable curriculum structure and unclear expectations along with poor integration with general surgery training ranked highest among perceived disadvantages. Current I-6 residents are largely satisfied with the integrated training model and report a reasonable work/life balance. The focused nature of training is the primary perceived advantage of the integrated pathway. Curriculum variability and poor integration with general surgery training are identified by residents as primary areas of concern. Copyright © 2015 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

Wind Systems for Pumping Water: A Training Manual. No. T-25.

ERIC Educational Resources Information Center

Eschenbach, Willis

This document was prepared as a training manual for people interested in developing appropriate technological approaches to using wind power to pump water. The training program is divided into two basic formats, one in which a session focuses on the design process and participants are expected to do some design work in groups, and another which…

Bricklayer: Apprenticeship Course Outline. Apprenticeship and Industry Training. 0110

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2010

2010-01-01

The graduate of the Bricklayer apprenticeship training is a journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) produce a better quality product than the minimum acceptable by industry standard; (4) use and maintain tools and equipment to the standards of…

Bricklayer: Apprenticeship Course Outline. Apprenticeship and Industry Training. 0110.1

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2010

2010-01-01

The graduate of the Bricklayer apprenticeship training is a journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) produce a better quality product than the minimum acceptable by industry standard; (4) use and maintain tools and equipment to the standards of…

Athletic Trainers' Perceptions of the Importance, Preparation and Time Spent in the Athletic Training Content Areas

ERIC Educational Resources Information Center

Donahue, Martin

2009-01-01

Context: Graduates of professional programs accredited by the Commission on Accreditation of Athletic Training Education are expected to be competent and proficient in the athletic training content areas. Objective: The unique skills and knowledge that an athletic trainer (AT) must possess may have more importance in one clinical setting than in…

KNT-artificial neural network model for flux prediction of ultrafiltration membrane producing drinking water.

PubMed

Oh, H K; Yu, M J; Gwon, E M; Koo, J Y; Kim, S G; Koizumi, A

2004-01-01

This paper describes the prediction of flux behavior in an ultrafiltration (UF) membrane system using a Kalman neuro training (KNT) network model. The experimental data was obtained from operating a pilot plant of hollow fiber UF membrane with groundwater for 7 months. The network was trained using operating conditions such as inlet pressure, filtration duration, and feed water quality parameters including turbidity, temperature and UV254. Pre-processing of raw data allowed the normalized input data to be used in sigmoid activation functions. A neural network architecture was structured by modifying the number of hidden layers, neurons and learning iterations. The structure of KNT-neural network with 3 layers and 5 neurons allowed a good prediction of permeate flux by 0.997 of correlation coefficient during the learning phase. Also the validity of the designed model was evaluated with other experimental data not used during the training phase and nonlinear flux behavior was accurately estimated with 0.999 of correlation coefficient and a lower error of prediction in the testing phase. This good flux prediction can provide preliminary criteria in membrane design and set up the proper cleaning cycle in membrane operation. The KNT-artificial neural network is also expected to predict the variation of transmembrane pressure during filtration cycles and can be applied to automation and control of full scale treatment plants.

Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions.

PubMed

Gray, Adrian J; Shorter, Kathleen; Cummins, Cloe; Murphy, Aron; Waldron, Mark

2018-06-01

Quantifying the training and competition loads of players in contact team sports can be performed in a variety of ways, including kinematic, perceptual, heart rate or biochemical monitoring methods. Whilst these approaches provide data relevant for team sports practitioners and athletes, their application to a contact team sport setting can sometimes be challenging or illogical. Furthermore, these methods can generate large fragmented datasets, do not provide a single global measure of training load and cannot adequately quantify all key elements of performance in contact team sports. A previous attempt to address these limitations via the estimation of metabolic energy demand (global energy measurement) has been criticised for its inability to fully quantify the energetic costs of team sports, particularly during collisions. This is despite the seemingly unintentional misapplication of the model's principles to settings outside of its intended use. There are other hindrances to the application of such models, which are discussed herein, such as the data-handling procedures of Global Position System manufacturers and the unrealistic expectations of end users. Nevertheless, we propose an alternative energetic approach, based on Global Positioning System-derived data, to improve the assessment of mechanical load in contact team sports. We present a framework for the estimation of mechanical work performed during locomotor and contact events with the capacity to globally quantify the work done during training and matches.

Discrimination learning and attentional set formation in a mouse model of Fragile X.

PubMed

Casten, Kimberly S; Gray, Annette C; Burwell, Rebecca D

2011-06-01

Fragile X Syndrome is the most prevalent genetic cause of mental retardation. Selective deficits in executive function, including inhibitory control and attention, are core features of the disorder. In humans, Fragile X results from a trinucleotide repeat in the Fmr1 gene that renders it functionally silent and has been modeled in mice by targeted deletion of the Fmr1 gene. Fmr1 knockout (KO) mice recapitulate many features of Fragile X syndrome, but evidence for deficits in executive function is inconsistent. To address this issue, we trained wild-type and Fmr1 KO mice on an experimental paradigm that assesses attentional set-shifting. Mice learned to discriminate between stimuli differing in two of three perceptual dimensions. Successful discrimination required attending only to the relevant dimension, while ignoring irrelevant dimensions. Mice were trained on three discriminations in the same perceptual dimension, each followed by a reversal. This procedure normally results in the formation of an attentional set to the relevant dimension. Mice were then required to shift attention and discriminate based on a previously irrelevant perceptual dimension. Wild-type mice exhibited the increase in trials to criterion expected when shifting attention from one perceptual dimension to another. In contrast, the Fmr1 KO group failed to show the expected increase, suggesting impairment in forming an attentional set. Fmr1 KO mice also exhibited a general impairment in learning discriminations and reversals. This is the first demonstration that Fmr1 KO mice show a deficit in attentional set formation.

Development of scales relating to professional development of community college administrators.

PubMed

Wolfe, Edward W; Van Der Linden, Kim E

2010-01-01

This article reports the results of an application of the Multidimensional Random Coefficients Multinomial Logit Model (MRCMLM) to the measurement of professional development activities in which community college administrators participate. The analyses focus on confirmation of the factorial structure of the instrument, evaluation of the quality of the activities calibrations, examination of the internal structure of the instrument, and comparison of groups of administrators. The dimensionality analysis results suggest a five-dimensional model that is consistent with previous literature concerning career paths of community college administrators - education and specialized training, internal professional development and mentoring, external professional development, employer support, and seniority. The indicators of the quality of the activity calibrations suggest that measures of the five dimensions are adequately reliable, that the activities in each dimension are internally consistent, and that the observed responses to each activity are consistent with the expected values of the MRCMLM. The hierarchy of administrator measure means and of activity calibrations is consistent with substantive theory relating to professional development for community college administrators. For example, readily available activities that occur at the institution were most likely to be engaged in by administrators, while participation in selective specialized training institutes were the least likely activities. Finally, group differences with respect to age and title were consistent with substantive expectations - the greater the administrator's age and the higher the rank of the administrator's title, the greater the probability of having engaged in various types of professional development.

Rank Order Entropy: why one metric is not enough

PubMed Central

McLellan, Margaret R.; Ryan, M. Dominic; Breneman, Curt M.

2011-01-01

The use of Quantitative Structure-Activity Relationship models to address problems in drug discovery has a mixed history, generally resulting from the mis-application of QSAR models that were either poorly constructed or used outside of their domains of applicability. This situation has motivated the development of a variety of model performance metrics (r2, PRESS r2, F-tests, etc) designed to increase user confidence in the validity of QSAR predictions. In a typical workflow scenario, QSAR models are created and validated on training sets of molecules using metrics such as Leave-One-Out or many-fold cross-validation methods that attempt to assess their internal consistency. However, few current validation methods are designed to directly address the stability of QSAR predictions in response to changes in the information content of the training set. Since the main purpose of QSAR is to quickly and accurately estimate a property of interest for an untested set of molecules, it makes sense to have a means at hand to correctly set user expectations of model performance. In fact, the numerical value of a molecular prediction is often less important to the end user than knowing the rank order of that set of molecules according to their predicted endpoint values. Consequently, a means for characterizing the stability of predicted rank order is an important component of predictive QSAR. Unfortunately, none of the many validation metrics currently available directly measure the stability of rank order prediction, making the development of an additional metric that can quantify model stability a high priority. To address this need, this work examines the stabilities of QSAR rank order models created from representative data sets, descriptor sets, and modeling methods that were then assessed using Kendall Tau as a rank order metric, upon which the Shannon Entropy was evaluated as a means of quantifying rank-order stability. Random removal of data from the training set, also known as Data Truncation Analysis (DTA), was used as a means for systematically reducing the information content of each training set while examining both rank order performance and rank order stability in the face of training set data loss. The premise for DTA ROE model evaluation is that the response of a model to incremental loss of training information will be indicative of the quality and sufficiency of its training set, learning method, and descriptor types to cover a particular domain of applicability. This process is termed a “rank order entropy” evaluation, or ROE. By analogy with information theory, an unstable rank order model displays a high level of implicit entropy, while a QSAR rank order model which remains nearly unchanged during training set reductions would show low entropy. In this work, the ROE metric was applied to 71 data sets of different sizes, and was found to reveal more information about the behavior of the models than traditional metrics alone. Stable, or consistently performing models, did not necessarily predict rank order well. Models that performed well in rank order did not necessarily perform well in traditional metrics. In the end, it was shown that ROE metrics suggested that some QSAR models that are typically used should be discarded. ROE evaluation helps to discern which combinations of data set, descriptor set, and modeling methods lead to usable models in prioritization schemes, and provides confidence in the use of a particular model within a specific domain of applicability. PMID:21875058

A dementia communication training intervention based on the VERA framework for pre-registration nurses: Part I developing and testing an implementation strategy.

PubMed

Naughton, Corina; Beard, Chloe; Tzouvara, Vasiliki; Pegram, Anne; Verity, Rebecca; Eley, Rhiannon; Hingley, David

2018-04-01

People living with dementia experience progressive difficulty in expressing physical and emotional needs. Health care staff including student nurses require training to develop compensatory communication strategies. However, there is no standardised foundation level dementia communication training within pre-registration curricula. This article describes the theoretical underpinnings and development of a foundation level dementia communication skills training based on the VERA (Validation, Emotion, Reassurance, Activity) framework. The training strategies drew on behavioural change theory using the COM-B model and Gagné's 9 Events of Instruction. The VERA framework was operationalised using a multicomponent teaching strategy. The intervention was refined based on quality improvement Plan-Do-Study-Act cycles with feedback from people living with dementia, facilitators and student nurses. Data collection used semi-structured questionnaires (n = 51) and four focus group (n = 19) interviews with students. Data analysis involved descriptive statistics and thematic analysis. The intervention was a 2.5-hour face-to-face training session delivered at the start of students' older adult unit placement with follow-up reflection sessions during placement. Training was delivered to 51 students, all students described the training as useful and would recommend it to their peers. Elements of the training that were highly valued were: opportunities to express concerns in caring for people with dementia, applying the VERA framework using role play and outlining realistic expectations of VERA. Students recognised the need for on-going training especially for more complex patients. Combining behaviour change and education theory with stakeholder feedback strengthened the development of VERA as a foundation level dementia communication training for pre-registration nurses. Copyright © 2018 Elsevier Ltd. All rights reserved.

Learning outcomes as a tool to assess progression.

PubMed

Harden, Ronald M

2007-09-01

In the move to outcome-based education (OBE) much of the attention has focussed on the exit learning outcomes-the outcomes expected of a student at the end of a course of studies. It is important also to plan for and monitor students progression to the exit outcomes. A model is described for considering this progression through the phases of undergraduate education. Four dimensions are included-increasing breadth, increasing depth, increasing utility and increasing proficiency. The model can also be used to develop a blueprint for a more seamless link between undergraduate education, postgraduate training and continuing professional development. The progression model recognises the complexities of medical practice and medical education. It supports the move to student-centred and adaptive approaches to learning in an OBE environment.

Cue-specific effects of categorization training on the relative weighting of acoustic cues to consonant voicing in English

PubMed Central

Francis, Alexander L.; Kaganovich, Natalya; Driscoll-Huber, Courtney

2008-01-01

In English, voiced and voiceless syllable-initial stop consonants differ in both fundamental frequency at the onset of voicing (onset F0) and voice onset time (VOT). Although both correlates, alone, can cue the voicing contrast, listeners weight VOT more heavily when both are available. Such differential weighting may arise from differences in the perceptual distance between voicing categories along the VOT versus onset F0 dimensions, or it may arise from a bias to pay more attention to VOT than to onset F0. The present experiment examines listeners’ use of these two cues when classifying stimuli in which perceptual distance was artificially equated along the two dimensions. Listeners were also trained to categorize stimuli based on one cue at the expense of another. Equating perceptual distance eliminated the expected bias toward VOT before training, but successfully learning to base decisions more on VOT and less on onset F0 was easier than vice versa. Perceptual distance along both dimensions increased for both groups after training, but only VOT-trained listeners showed a decrease in Garner interference. Results lend qualified support to an attentional model of phonetic learning in which learning involves strategic redeployment of selective attention across integral acoustic cues. PMID:18681610

The effects of a regional natural history course on outcome expectancy, self-efficacy, and instructional methods of science teachers

NASA Astrophysics Data System (ADS)

Dechant, Thomas Fredrick

Recent concerns about the effectiveness of science instruction have prompted a variety of strategies and research to effect positive changes. Research has indicated that among the contributing factors to the success of students learning science are teacher outcome expectancy, self-efficacy, and the selection and use of various teaching methods. Inservice training opportunities for public school teachers have been proposed as a strategy that can yield positive changes in these areas. Environmental education has also been proposed as a viable component of teaching science, but focus on global, and the omission of local themes is common. This study assessed the effects of an inservice training course entitled "Natural History of the Southern Appalachians" on regional teachers' outcome expectancy, self-efficacy, and science teaching methods. Through the administration of the Science Teaching Efficacy Belief Instrument and the Science Teaching Strategies Survey before taking the course and after taking the course, changes in the teachers outcome expectancy (p<.05), self-efficacy (p<.10), and teaching strategy selection were measured. In all three areas, desired positive changes have resulted from teachers completing the course. It appears that regionally specific Natural History training gives teachers inexpensive options to teach science, as well as making them more comfortable with the delivery of science instruction.

Modeling multiple time series annotations as noisy distortions of the ground truth: An Expectation-Maximization approach.

PubMed

Gupta, Rahul; Audhkhasi, Kartik; Jacokes, Zach; Rozga, Agata; Narayanan, Shrikanth

2018-01-01

Studies of time-continuous human behavioral phenomena often rely on ratings from multiple annotators. Since the ground truth of the target construct is often latent, the standard practice is to use ad-hoc metrics (such as averaging annotator ratings). Despite being easy to compute, such metrics may not provide accurate representations of the underlying construct. In this paper, we present a novel method for modeling multiple time series annotations over a continuous variable that computes the ground truth by modeling annotator specific distortions. We condition the ground truth on a set of features extracted from the data and further assume that the annotators provide their ratings as modification of the ground truth, with each annotator having specific distortion tendencies. We train the model using an Expectation-Maximization based algorithm and evaluate it on a study involving natural interaction between a child and a psychologist, to predict confidence ratings of the children's smiles. We compare and analyze the model against two baselines where: (i) the ground truth in considered to be framewise mean of ratings from various annotators and, (ii) each annotator is assumed to bear a distinct time delay in annotation and their annotations are aligned before computing the framewise mean.

Latent transition analysis of pre-service teachers' efficacy in mathematics and science

NASA Astrophysics Data System (ADS)

Ward, Elizabeth Kennedy

This study modeled changes in pre-service teacher efficacy in mathematics and science over the course of the final year of teacher preparation using latent transition analysis (LTA), a longitudinal form of analysis that builds on two modeling traditions (latent class analysis (LCA) and auto-regressive modeling). Data were collected using the STEBI-B, MTEBI-r, and the ABNTMS instruments. The findings suggest that LTA is a viable technique for use in teacher efficacy research. Teacher efficacy is modeled as a construct with two dimensions: personal teaching efficacy (PTE) and outcome expectancy (OE). Findings suggest that the mathematics and science teaching efficacy (PTE) of pre-service teachers is a multi-class phenomena. The analyses revealed a four-class model of PTE at the beginning and end of the final year of teacher training. Results indicate that when pre-service teachers transition between classes, they tend to move from a lower efficacy class into a higher efficacy class. In addition, the findings suggest that time-varying variables (attitudes and beliefs) and time-invariant variables (previous coursework, previous experiences, and teacher perceptions) are statistically significant predictors of efficacy class membership. Further, analyses suggest that the measures used to assess outcome expectancy are not suitable for LCA and LTA procedures.

Six Questions for the Resource Model of Control (and Some Answers)

PubMed Central

Inzlicht, Michael; Berkman, Elliot

2017-01-01

The resource model of self-control casts self-control as a capacity that relies on some limited resource that exhausts with use. The model captured our imagination and brought much-needed attention on an important yet neglected psychological construct. Despite its success, basic issues with the model remain. Here, we ask six questions: (i) Does self-control really wane over time? (ii) Is ego depletion a form of mental fatigue? (iii) What is the resource that is depleted by ego depletion? (iv) How can changes in motivation, perception, and expectations replenish an exhausted resource? (v) Has the revised resource model unwittingly become a model about motivation? (vi) Do self-control exercises increase self-control? By providing some answers to these questions – including conducting a meta-analysis of the self-control training literature – we highlight how the resource model needs to be revised if not supplanted altogether. PMID:28966660

An introduction to using Bayesian linear regression with clinical data.

PubMed

Baldwin, Scott A; Larson, Michael J

2017-11-01

Statistical training psychology focuses on frequentist methods. Bayesian methods are an alternative to standard frequentist methods. This article provides researchers with an introduction to fundamental ideas in Bayesian modeling. We use data from an electroencephalogram (EEG) and anxiety study to illustrate Bayesian models. Specifically, the models examine the relationship between error-related negativity (ERN), a particular event-related potential, and trait anxiety. Methodological topics covered include: how to set up a regression model in a Bayesian framework, specifying priors, examining convergence of the model, visualizing and interpreting posterior distributions, interval estimates, expected and predicted values, and model comparison tools. We also discuss situations where Bayesian methods can outperform frequentist methods as well has how to specify more complicated regression models. Finally, we conclude with recommendations about reporting guidelines for those using Bayesian methods in their own research. We provide data and R code for replicating our analyses. Copyright © 2017 Elsevier Ltd. All rights reserved.

Perception versus reality: elucidating motivation and expectations of current fellowship council minimally invasive surgery fellows.

PubMed

Watkins, Jeffrey R; Pryor, Aurora D; Truitt, Michael S; Jeyarajah, D Rohan

2018-04-17

The aim of our study is to determine minimally invasive trainee motivation and expectations for their respective fellowship. Minimally Invasive Surgery (MIS) is one of the largest non-ACGME post-residency training pathways though little is known concerning the process of residents choosing MIS as a fellowship focus. As general surgery evolves, it is important to understand resident motivation in order to better prepare them for a surgical career. A survey invitation was sent to current trainees in the Minimally Invasive and related pathways through the Fellowship Council. The participants were asked to complete a web-based questionnaire detailing demographics, experiences preparing for fellowship, motivation in choosing an MIS fellowship, and expectations for surgical practice after fellowship. Sixty-seven MIS trainees responded to the survey out of 151 invitations (44%). The Fellowship Council website, mentors, and other fellows were cited as the most helpful source of information when applying for fellowship. Trainees were active in surgical societies as residents, with 78% having membership in the ACS and 60% in SAGES. When deciding to pursue MIS as a fellowship, the desire to increase laparoscopic training was the most important factor. The least important reasons cited were lack of laparoendoscopic training in residency and desire to learn robotic surgery. The majority of trainees believed their laparoscopic skill set was above that of their residency cohort (81%). The most desired post-fellowship employment model is hospital employee (46%) followed by private practice (27%). Most fellows plan on marketing themselves as MIS surgeons (90%) or General Surgeons (78%) when in practice. Residents who choose MIS as a fellowship have a strong exposure to laparoscopy and want to become specialists in their field. Mentors and surgical societies including ACS and SAGES play a vital role in preparing residents for fellowship and practice.

Graduate training in Earth science across borders and disciplines: ArcTrain -"Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic"

NASA Astrophysics Data System (ADS)

Stein, Rüdiger; Kucera, Michal; Walter, Maren; de Vernal, Anne

2015-04-01

Due to a complex set of feedback processes collectively known as "polar amplification", the Arctic realm is expected to experience a greater-than-average response to global climate forcing. The cascades of feedback processes that connect the Arctic cryosphere, ocean and atmosphere remain incompletely constrained by observations and theory and are difficult to simulate in climate models. Our capacity to predict the future of the region and assess the impacts of Arctic change processes on global and regional environments hinges on the availability of interdisciplinary experts with strong international experience and understanding of the science/society interface. This is the basis of the International Research Training Group "Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic - ArcTrain", which was initiated in 2013. ArcTrain aims to educate PhD students in an interdisciplinary environment that combines paleoclimatology, physical oceanography, remote sensing and glaciology with comprehensive Earth system modelling, including sea-ice and ice-sheet components. The qualification program for the PhD students includes joint supervision, mandatory research residences at partner institutions, field courses on land and on sea (Floating University), annual meetings and training workshops and a challenging structured training in expert skills and transferrable skills. Its aim is to enhance the career prospects and employability of the graduates in a challenging international job market across academic and applied sectors. ArcTrain is a collaborative project at the University of Bremen and the Alfred Wegener Institute for Polar and Marine Research in Bremerhaven. The German part of the project is designed to continue for nine years and educate three cohorts of twelve PhD students each. The Canadian partners comprise a consortium of eight universities led by the GEOTOP cluster at the Université du Québec à Montréal and including Dalhousie University, McGill University, Memorial University of Newfoundland, University of Alberta, University of British Columbia, University of Calgary and Université du Québec à Rimouski. Further details about ArcTrain are available at: https://www.marum.de/ArcTrain.html

Training Needs Analysis: Weaknesses in the Conventional Approach.

ERIC Educational Resources Information Center

Leat, Michael James; Lovel, Murray Jack

1997-01-01

Identification of the training and development needs of administrative support staff is not aided by conventional performance appraisal, which measures summary or comparative effectiveness. Meaningful diagnostic evaluation integrates three levels of analysis (organization, task, and individual), using behavioral expectation scales. (SK)

HRD in Difficult Times. Symposium.

ERIC Educational Resources Information Center

2002

This document contains three papers on challenges facing human resource development today. "In Difficult Times: Influences of Attitudes and Expectations Towards Training and Redeployment Opportunities in a Hospital Retraction Programme" (Sandra Watson, Jeff Hyman) presents reasons behind the low uptake of training and redeployment…

Forecasting Distributional Responses of Limber Pine to Climate Change at Management-Relevant Scales in Rocky Mountain National Park

PubMed Central

Monahan, William B.; Cook, Tammy; Melton, Forrest; Connor, Jeff; Bobowski, Ben

2013-01-01

Resource managers at parks and other protected areas are increasingly expected to factor climate change explicitly into their decision making frameworks. However, most protected areas are small relative to the geographic ranges of species being managed, so forecasts need to consider local adaptation and community dynamics that are correlated with climate and affect distributions inside protected area boundaries. Additionally, niche theory suggests that species' physiological capacities to respond to climate change may be underestimated when forecasts fail to consider the full breadth of climates occupied by the species rangewide. Here, using correlative species distribution models that contrast estimates of climatic sensitivity inferred from the two spatial extents, we quantify the response of limber pine (Pinus flexilis) to climate change in Rocky Mountain National Park (Colorado, USA). Models are trained locally within the park where limber pine is the community dominant tree species, a distinct structural-compositional vegetation class of interest to managers, and also rangewide, as suggested by niche theory. Model forecasts through 2100 under two representative concentration pathways (RCP 4.5 and 8.5 W/m2) show that the distribution of limber pine in the park is expected to move upslope in elevation, but changes in total and core patch area remain highly uncertain. Most of this uncertainty is biological, as magnitudes of projected change are considerably more variable between the two spatial extents used in model training than they are between RCPs, and novel future climates only affect local model predictions associated with RCP 8.5 after 2091. Combined, these results illustrate the importance of accounting for unknowns in species' climatic sensitivities when forecasting distributional scenarios that are used to inform management decisions. We discuss how our results for limber pine may be interpreted in the context of climate change vulnerability and used to help guide adaptive management. PMID:24391742

Forecasting distributional responses of limber pine to climate change at management-relevant scales in Rocky Mountain National Park.

PubMed

Monahan, William B; Cook, Tammy; Melton, Forrest; Connor, Jeff; Bobowski, Ben

2013-01-01

Resource managers at parks and other protected areas are increasingly expected to factor climate change explicitly into their decision making frameworks. However, most protected areas are small relative to the geographic ranges of species being managed, so forecasts need to consider local adaptation and community dynamics that are correlated with climate and affect distributions inside protected area boundaries. Additionally, niche theory suggests that species' physiological capacities to respond to climate change may be underestimated when forecasts fail to consider the full breadth of climates occupied by the species rangewide. Here, using correlative species distribution models that contrast estimates of climatic sensitivity inferred from the two spatial extents, we quantify the response of limber pine (Pinus flexilis) to climate change in Rocky Mountain National Park (Colorado, USA). Models are trained locally within the park where limber pine is the community dominant tree species, a distinct structural-compositional vegetation class of interest to managers, and also rangewide, as suggested by niche theory. Model forecasts through 2100 under two representative concentration pathways (RCP 4.5 and 8.5 W/m(2)) show that the distribution of limber pine in the park is expected to move upslope in elevation, but changes in total and core patch area remain highly uncertain. Most of this uncertainty is biological, as magnitudes of projected change are considerably more variable between the two spatial extents used in model training than they are between RCPs, and novel future climates only affect local model predictions associated with RCP 8.5 after 2091. Combined, these results illustrate the importance of accounting for unknowns in species' climatic sensitivities when forecasting distributional scenarios that are used to inform management decisions. We discuss how our results for limber pine may be interpreted in the context of climate change vulnerability and used to help guide adaptive management.

Examination of Faculty Expectations of Technical College Administrators as an Important Factor in High Performing Environments

ERIC Educational Resources Information Center

Dupuis, Phyllis A.

2009-01-01

Popular thought supports the notion that faculty expectations of technical college administrators appear to be linked to the success or failure of an institution at accomplishing its mission. These expectations provide the basis for the development of relationships that foster the growth of technical training and thus the growth of a skilled…

Identifying and Aligning Expectations in a Mentoring Relationship

PubMed Central

Huskins, W. Charles; Silet, Karin; Weber‐Main, Anne Marie; Begg, Melissa D.; Fowler, Jr, Vance G.; Hamilton, John; Fleming, Michael

2011-01-01

Abstract The mentoring relationship between a scholar and their primary mentor is a core feature of research training. Anecdotal evidence suggests this relationship is adversely affected when scholar and mentor expectations are not aligned. We examined three questions: (1) What is the value in assuring that the expectations of scholars and mentors are mutually identified and aligned? (2) What types of programmatic interventions facilitate this process? (3) What types of expectations are important to identify and align? We addressed these questions through a systematic literature review, focus group interviews of mentors and scholars, a survey of Clinical and Translational Science Award (CTSA) KL2 program directors, and review of formal programmatic mechanisms used by KL2 programs. We found broad support for the importance of identifying and aligning the expectations of scholars and mentors and evidence that mentoring contracts, agreements, and training programs facilitate this process. These tools focus on aligning expectations with respect to the scholar’s research, education, professional development and career advancement as well as support, communication, and personal conduct and interpersonal relations. Research is needed to assess test the efficacy of formal alignment activities. Clin Trans Sci 2011; Volume 4: 439–447 PMID:22212226

Power System Electrician: Apprenticeship Course Outline. Apprenticeship and Industry Training. 4609

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2009

2009-01-01

The graduate of the Power System Electrician apprenticeship training is a journeyman who will be able to: (1) responsibly do all work tasks expected of a journeyman; (2) supervise, train and coach apprentices; (3) use and maintain hand and power tools to the standards of competency and safety required in the trade; (4) read and interpret drawing,…

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

ERIC Educational Resources Information Center

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

2014-01-01

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

Chile: Acceptability of a Training Program for Depression Management in Primary Care.

PubMed

Marín, Rigoberto; Martínez, Pablo; Cornejo, Juan P; Díaz, Berta; Peralta, José; Tala, Álvaro; Rojas, Graciela

2016-01-01

In Chile, there are inconsistencies in the management of depression in primary care settings, and the National Depression Program, currently in effect, was implemented without a standardized training program. The objective of this study is to evaluate the acceptability of a training program on the management of depression for primary care health teams. The study was a randomized controlled trial, and two primary centers from the Metropolitan Region of Santiago were randomly selected to carry out the intervention training program. Pre-post surveys were applied, to evaluate expectations and satisfaction with the intervention, respectively. Descriptive and content analysis was carried out. The sample consisted of 41 health professionals, 56.1% of who reported that their expectations for the intervention were met. All of the training activities were evaluated with scores higher than 6.4 (on a 1-7 scale). The trainers, the methodology, and the learning environment were considered strengths and facilitators of the program, while the limited duration of the training, the logistical problems faced during part of the program, and the lack of educational material were viewed as weaknesses. The intervention was well accepted by primary health care teams. However, the clinical impact in patients still has to be evaluated.

An eye movement pre-training fosters the comprehension of processes and functions in technical systems

PubMed Central

Skuballa, Irene T.; Fortunski, Caroline; Renkl, Alexander

2015-01-01

The main research goal of the present study was to investigate in how far pre-training eye movements can facilitate knowledge acquisition in multimedia (pre-training principle). We combined considerations from research on eye movement modeling and pre-training to design and test a non-verbal eye movement-based pre-training. Participants in the experimental condition watched an animated circle moving in close spatial resemblance to a static visualization of a solar plant accompanied by a narration in a subsequently presented learning environment. This training was expected to foster top-down processes as reflected in gaze behavior during the learning process and enhance knowledge acquisition. We compared two groups (N = 45): participants in the experimental condition received pre-training in a first step and processed the learning material in a second step, whereas the control group underwent the second step without any pre-training. The pre-training group outperformed the control group in their learning outcomes, particularly in knowledge about processes and functions of the solar plant. However, the superior learning outcomes in the pre-training group could not be explained by eye-movement patterns. Furthermore, the pre-training moderated the relationship between experienced stress and learning outcomes. In the control group, high stress levels hindered learning, which was not found for the pre-training group. On a delayed posttest participants were requested to draw a picture of the learning content. Despite a non-significant effect of training on the quality of drawings, the pre-training showed associations between learning outcomes at the first testing time and process-related aspects in the quality of their drawings. Overall, non-verbal pre-training is a successful instructional intervention to promote learning processes in novices although these processes did not directly reflect in learners' eye movement behavior during learning. PMID:26029138

Readiness for practice: a survey of neurosurgery graduates and program directors.

PubMed

Haji, Faizal A; Steven, David A

2014-11-01

Postgraduate neurosurgical education is undergoing significant reform, including transition to a competency-based training model. To support these efforts, the purpose of this study was to determine neurosurgical graduates' and program directors' (PDs) opinions about graduates' level of competence in reference to the 2010 Royal College Objectives of Training in Neurosurgery. An electronic survey was distributed to Canadian neurosurgery PDs and graduates from 2011. The questionnaire addressed graduates' abilities in nonprocedural knowledge and skills, CanMEDS roles, proficiency with core neurosurgical procedures and knowledge of complex neurosurgical techniques. Thirteen of 22 (59%) graduate and 17/25 (65%) PD surveys were completed. There were no significant differences between PD and graduate responses. Most respondents agreed that these graduates possess the knowledge and skills expected of an independently practicing neurosurgeon across current objectives of training. A small proportion felt some graduates did not achieve this level of proficiency on specific vascular, functional, peripheral nerve and endoscopic procedures. This was partially attributed to limited exposure to these procedures during training and perceptions that some techniques required fellowship-level training. Graduating neurosurgical residents are perceived to possess a high level of proficiency in the majority of neurosurgical practice domains. Inadequate exposure during training or a perception that subspecialists should perform some procedures may contribute to cases where proficiency is not as high. The trends identified in this study could be monitored on an ongoing basis to provide supplemental data to guide curricular decisions in Canadian neurosurgical training.

The cost-effectiveness of training US primary care physicians to conduct colorectal cancer screening in family medicine residency programs.

PubMed

Edwardson, Nicholas; Bolin, Jane N; McClellan, David A; Nash, Philip P; Helduser, Janet W

2016-04-01

Demand for a wide array of colorectal cancer screening strategies continues to outpace supply. One strategy to reduce this deficit is to dramatically increase the number of primary care physicians who are trained and supportive of performing office-based colonoscopies or flexible sigmoidoscopies. This study evaluates the clinical and economic implications of training primary care physicians via family medicine residency programs to offer colorectal cancer screening services as an in-office procedure. Using previously established clinical and economic assumptions from existing literature and budget data from a local grant (2013), incremental cost-effectiveness ratios are calculated that incorporate the costs of a proposed national training program and subsequent improvements in patient compliance. Sensitivity analyses are also conducted. Baseline assumptions suggest that the intervention would produce 2394 newly trained residents who could perform 71,820 additional colonoscopies or 119,700 additional flexible sigmoidoscopies after ten years. Despite high costs associated with the national training program, incremental cost-effectiveness ratios remain well below standard willingness-to-pay thresholds under base case assumptions. Interestingly, the status quo hierarchy of preferred screening strategies is disrupted by the proposed intervention. A national overhaul of family medicine residency programs offering training for colorectal cancer screening yields satisfactory incremental cost-effectiveness ratios. However, the model places high expectations on primary care physicians to improve current compliance levels in the US. Copyright © 2016 Elsevier Inc. All rights reserved.

Using virtual reality to train children in safe street-crossing skills.

PubMed

Schwebel, David C; McClure, Leslie A

2010-02-01

Pedestrian injuries are among the leading causes of morbidity and mortality in middle childhood. One limitation to existing pedestrian safety interventions is that they do not provide children with repeated practice needed to develop the complex perceptual and cognitive skills required for safe street crossing. Virtual reality offers training through repeated unsupervised practice without risk, automated feedback on success of crossings, adjustment of traffic to match children's skill and a fun, appealing environment for training. To test the efficacy of virtual reality to train child pedestrians in safe street crossing. Birmingham, Alabama, USA. A randomised controlled trial is underway with an expected sample of four groups of 60 children aged 7-8 years (total N=240). One group receives training in an interactive, immersive virtual pedestrian environment. A second receives pedestrian safety training via widely used video and computer strategies. The third group receives what is judged to be the most efficacious treatment currently available, individualised behavioural training at streetside locations. The fourth group serves as a no-contact control group. All participants are exposed to a range of field and laboratory-based measures of pedestrian skill during baseline and post-intervention visits, as well as during a 6-month follow-up assessment. Primary analyses will be conducted through linear mixed models testing change over time in the four intervention groups. Three pedestrian safety measures will serve as primary outcomes: temporal gap before initiating crossing, temporal gap remaining after crossing and attention to traffic while waiting to cross.

Developing Data-driven models for quantifying Cochlodinium polykrikoides in Coastal Waters

NASA Astrophysics Data System (ADS)

Kwon, Yongsung; Jang, Eunna; Im, Jungho; Baek, Seungho; Park, Yongeun; Cho, Kyunghwa

2017-04-01

Harmful algal blooms have been worldwide problems because it leads to serious dangers to human health and aquatic ecosystems. Especially, fish killing red tide blooms by one of dinoflagellate, Cochlodinium polykrikoides (C. polykrikoides), have caused critical damage to mariculture in the Korean coastal waters. In this work, multiple linear regression (MLR), regression tree (RT), and random forest (RF) models were constructed and applied to estimate C. polykrikoides blooms in coastal waters. Five different types of input dataset were carried out to test the performance of three models. To train and validate the three models, observed number of C. polykrikoides cells from National institute of fisheries science (NIFS) and remote sensing reflectance data from Geostationary Ocean Color Imager (GOCI) images for 3 years from 2013 to 2015 were used. The RT model showed the best prediction performance when using 4 bands and 3 band ratios data were used as input data simultaneously. Results obtained from iterative model development with randomly chosen input data indicated that the recognition of patterns in training data caused a variation in prediction performance. This work provided useful tools for reliably estimate the number of C. polykrikoides cells by using reasonable input reflectance dataset in coastal waters. It is expected that the RT model is easily accessed and manipulated by administrators and decision-makers working with coastal waters.

Training and subjective workload in a category search task

NASA Technical Reports Server (NTRS)

Vidulich, Michael A.; Pandit, Parimal

1986-01-01

This study examined automaticity as a means by which training influences mental workload. Two groups were trained in a category search task. One group received a training paradigm designed to promote the development of automaticity; the other group received a training paradigm designed to prohibit it. Resultant performance data showed the expected improvement as a result of the development of automaticity. Subjective workload assessments mirrored the performance results in most respects. The results supported the position that subjective mental workload assessments may be sensitive to the effect of training when it produces a lower level of cognitive load.

Improving communication skill training in patient centered medical practice for enhancing rational use of laboratory tests: The core of bioinformation for leveraging stakeholder engagement in regulatory science.

PubMed

Moura, Josemar de Almeida; Costa, Bruna Carvalho; de Faria, Rosa Malena Delbone; Soares, Taciana Figueiredo; Moura, Eliane Perlatto; Chiappelli, Francesco

2013-01-01

Requests for laboratory tests are among the most relevant additional tools used by physicians as part of patient's health problemsolving. However, the overestimation of complementary investigation may be linked to less reflective medical practice as a consequence of a poor physician-patient communication, and may impair patient-centered care. This scenario is likely to result from reduced consultation time, and a clinical model focused on the disease. We propose a new medical intervention program that specifically targets improving the patient-centered communication of laboratory tests results, the core of bioinformation in health care. Expectations are that medical students training in communication skills significantly improve physicians-patient relationship, reduce inappropriate use of laboratorial tests, and raise stakeholder engagement.

Neural Network Emulation of Reionization Simulations

NASA Astrophysics Data System (ADS)

Schmit, Claude J.; Pritchard, Jonathan R.

2018-05-01

Next generation radio experiments such as LOFAR, HERA and SKA are expected to probe the Epoch of Reionization and claim a first direct detection of the cosmic 21cm signal within the next decade. One of the major challenges for these experiments will be dealing with enormous incoming data volumes. Machine learning is key to increasing our data analysis efficiency. We consider the use of an artificial neural network to emulate 21cmFAST simulations and use it in a Bayesian parameter inference study. We then compare the network predictions to a direct evaluation of the EoR simulations and analyse the dependence of the results on the training set size. We find that the use of a training set of size 100 samples can recover the error contours of a full scale MCMC analysis which evaluates the model at each step.

Negative symptoms in schizophrenia result from a failure to represent the expected value of rewards: Behavioral and computational modeling evidence

PubMed Central

Gold, James M.; Waltz, James A.; Matveeva, Tatyana M.; Kasanova, Zuzana; Strauss, Gregory P.; Herbener, Ellen S.; Collins, Anne G.E.; Frank, Michael J.

2015-01-01

Context Negative symptoms are a core feature of schizophrenia, but their pathophysiology remains unclear. Objective Negative symptoms are defined by the absence of normal function. However, there must be a productive mechanism that leads to this absence. Here, we test a reinforcement learning account suggesting that negative symptoms result from a failure to represent the expected value of rewards coupled with preserved loss avoidance learning. Design Subjects performed a probabilistic reinforcement learning paradigm involving stimulus pairs in which choices resulted in either reward or avoidance of loss. Following training, subjects indicated their valuation of the stimuli in a transfer task. Computational modeling was used to distinguish between alternative accounts of the data. Setting A tertiary care research outpatient clinic. Patients A total of 47 clinically stable patients with a diagnosis of schizophrenia or schizoaffective disorder and 28 healthy volunteers participated. Patients were divided into high and low negative symptom groups. Main Outcome measures 1) The number of choices leading to reward or loss avoidance and 2) performance in the transfer phase. Quantitative fits from three different models were examined. Results High negative symptom patients demonstrated impaired learning from rewards but intact loss avoidance learning, and failed to distinguish rewarding stimuli from loss-avoiding stimuli in the transfer phase. Model fits revealed that high negative symptom patients were better characterized by an “actor-critic” model, learning stimulus-response associations, whereas controls and low negative symptom patients incorporated expected value of their actions (“Q-learning”) into the selection process. Conclusions Negative symptoms are associated with a specific reinforcement learning abnormality: High negative symptoms patients do not represent the expected value of rewards when making decisions but learn to avoid punishments through the use of prediction errors. This computational framework offers the potential to understand negative symptoms at a mechanistic level. PMID:22310503

Increasing the Availability of Psychological Treatments: A Multinational Study of a Scalable Method for Training Therapists.

PubMed

O'Connor, Marianne; Morgan, Katy E; Bailey-Straebler, Suzanne; Fairburn, Christopher G; Cooper, Zafra

2018-06-08

One of the major barriers to the dissemination and implementation of psychological treatments is the scarcity of suitably trained therapists. A highly scalable form of Web-centered therapist training, undertaken without external support, has recently been shown to have promise in promoting therapist competence. The aim of this study was to conduct an evaluation of the acceptability and effectiveness of a scalable independent form of Web-centered training in a multinational sample of therapists and investigate the characteristics of those most likely to benefit. A cohort of eligible therapists was recruited internationally and offered access to Web-centered training in enhanced cognitive behavioral therapy, a multicomponent, evidence-based, psychological treatment for any form of eating disorder. No external support was provided during training. Therapist competence was assessed using a validated competence measure before training and after 20 weeks. A total of 806 therapists from 33 different countries expressed interest in the study, and 765 (94.9%) completed a pretraining assessment. The median number of training modules completed was 15 out of a possible 18 (interquartile range, IQR: 4-18), and 87.9% (531/604) reported that they treated at least one patient during training as recommended. Median pretraining competence score was 7 (IQR: 5-10, range: 0-19; N=765), and following training, it was 12 (IQR: 9-15, range: 0-20; N=577). The expected change in competence scores from pretraining to posttraining was 3.5 (95% CI 3.1-3.8; P<.001). After training, 52% (300/574) of therapists with complete competence data met or exceeded the competence threshold, and 45% (95% CI 41-50) of those who had not met this threshold before training did so after training. Compliance with training predicted both an increase in competence scores and meeting or exceeding the competence threshold. Expected change in competence score increased for each extra training module completed (0.19, 95% CI 0.13-0.25), and those who treated a suitable patient during training had an expected change in competence score 1.2 (95% CI 0.4-2.1) points higher than those who did not. Similarly, there was an association between meeting the competence threshold after training and the number of modules completed (odds ratio, OR=1.11, 95% CI 1.07-1.15), and treating at least one patient during training was associated with competence after training (OR=2.2, 95% CI 1.2-4.1). Independent Web-centered training can successfully train large numbers of therapists dispersed across a wide geographical area. This finding is of importance because the availability of a highly scalable method of training potentially increases the number of people who might receive effective psychological treatments. ©Marianne O'Connor, Katy E Morgan, Suzanne Bailey-Straebler, Christopher G Fairburn, Zafra Cooper. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.06.2018.

The Variability of Crater Identification Among Expert and Community Crater Analysts

NASA Astrophysics Data System (ADS)

Robbins, S. J.; Antonenko, I.; Kirchoff, M. R.; Chapman, C. R.; Fassett, C. I.; Herrick, R. R.; Singer, K.; Zanetti, M.; Lehan, C.; Huang, D.; Gay, P.

2014-04-01

Statistical studies of impact crater populations have been used to model ages of planetary surfaces for several decades [1]. This assumes that crater counts are approximately invariant and a "correct" population will be identified if the analyst is skilled and diligent. However, the reality is that crater identification is somewhat subjective, so variability between analysts, or even a single analyst's variation from day-to-day, is expected [e.g., 2, 3]. This study was undertaken to quantify that variability within an expert analyst population and between experts and minimally trained volunteers.

Iterative random vs. Kennard-Stone sampling for IR spectrum-based classification task using PLS2-DA

NASA Astrophysics Data System (ADS)

Lee, Loong Chuen; Liong, Choong-Yeun; Jemain, Abdul Aziz

2018-04-01

External testing (ET) is preferred over auto-prediction (AP) or k-fold-cross-validation in estimating more realistic predictive ability of a statistical model. With IR spectra, Kennard-stone (KS) sampling algorithm is often used to split the data into training and test sets, i.e. respectively for model construction and for model testing. On the other hand, iterative random sampling (IRS) has not been the favored choice though it is theoretically more likely to produce reliable estimation. The aim of this preliminary work is to compare performances of KS and IRS in sampling a representative training set from an attenuated total reflectance - Fourier transform infrared spectral dataset (of four varieties of blue gel pen inks) for PLS2-DA modeling. The `best' performance achievable from the dataset is estimated with AP on the full dataset (APF, error). Both IRS (n = 200) and KS were used to split the dataset in the ratio of 7:3. The classic decision rule (i.e. maximum value-based) is employed for new sample prediction via partial least squares - discriminant analysis (PLS2-DA). Error rate of each model was estimated repeatedly via: (a) AP on full data (APF, error); (b) AP on training set (APS, error); and (c) ET on the respective test set (ETS, error). A good PLS2-DA model is expected to produce APS, error and EVS, error that is similar to the APF, error. Bearing that in mind, the similarities between (a) APS, error vs. APF, error; (b) ETS, error vs. APF, error and; (c) APS, error vs. ETS, error were evaluated using correlation tests (i.e. Pearson and Spearman's rank test), using series of PLS2-DA models computed from KS-set and IRS-set, respectively. Overall, models constructed from IRS-set exhibits more similarities between the internal and external error rates than the respective KS-set, i.e. less risk of overfitting. In conclusion, IRS is more reliable than KS in sampling representative training set.

A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns

NASA Astrophysics Data System (ADS)

Li, Xiang; Zhang, Yang; Wong, Hau-San; Qin, Zhongfeng

2009-11-01

Portfolio selection theory with fuzzy returns has been well developed and widely applied. Within the framework of credibility theory, several fuzzy portfolio selection models have been proposed such as mean-variance model, entropy optimization model, chance constrained programming model and so on. In order to solve these nonlinear optimization models, a hybrid intelligent algorithm is designed by integrating simulated annealing algorithm, neural network and fuzzy simulation techniques, where the neural network is used to approximate the expected value and variance for fuzzy returns and the fuzzy simulation is used to generate the training data for neural network. Since these models are used to be solved by genetic algorithm, some comparisons between the hybrid intelligent algorithm and genetic algorithm are given in terms of numerical examples, which imply that the hybrid intelligent algorithm is robust and more effective. In particular, it reduces the running time significantly for large size problems.

Motivation, expectations, and usability of a driven gait orthosis in stroke patients and their therapists.

PubMed

Swinnen, Eva; Lefeber, Nina; Willaert, Ward; De Neef, Fallon; Bruyndonckx, Lyn; Spooren, Annemie; Michielsen, Marc; Ramon, Tine; Kerckhofs, Eric

2017-05-01

In the development of efficacious driven gait orthoses (DGO), it is an added value to consider patients' and therapists' perspectives concerning robot-assisted gait training (RAGT). A better understanding of these issues may improve the process of care and outcome. This study aimed to examine stroke patients' motivation and expectations of RAGT, and therapists' expectations and perspectives on the usability of RAGT. Additionally, the differences in expectations between stroke patients and their therapists were analyzed. A cross sectional, multi-center, three-group trial was conducted. Included were (1) stroke patients who have experience with RAGT (i.e. the stroke user group), (2) stroke patients who have no experience with RAGT (i.e. the stroke non-user group), and (3) therapists who have experience with RAGT (i.e. the therapist user group). The Intrinsic Motivation Inventory (IMI), Credibility/Expectancy Questionnaire (CEQ), and Usefulness, Satisfaction and Ease of Use Questionnaire (USE) were used. Descriptive statistics and non-parametric Kruskal-Wallis tests were conducted. In total, 46 subjects were assessed (stroke user group: n = 23, stroke non-user group: n = 14, therapist user group: n = 9). IMI subscale scores ranged from 42 to 88%. Mean credibility and expectancy ranged from 80 to 85% and 57 to 72%, respectively, with no significant differences between groups. USE subscale scores ranged from 61 to 72%. Stroke user group patients seem quite motivated to train with the DGO and both patients and therapists reasonably believe that this training could improve gait functioning. Therapists are moderately satisfied with the usability of the DGO, but there is room for improvement with respect to usefulness and ease of use.

The need for a systematic approach to disaster psychosocial response: a suggested competency framework.

PubMed

Cox, Robin S; Danford, Taryn

2014-04-01

Competency models attempt to define what makes expert performers "experts." Successful disaster psychosocial planning and the institutionalizing of psychosocial response within emergency management require clearly-defined skill sets. This necessitates anticipating both the short- and long-term psychosocial implications of a disaster or health emergency (ie, pandemic) by developing effective and sustained working relationships among psychosocial providers, programs, and other planning partners. The following article outlines recommended competencies for psychosocial responders to enable communities and organizations to prepare for and effectively manage a disaster response. Competency-based models are founded on observable performance or behavioral indicators, attitudes, traits, or personalities related to effective performance in a specific role or job. After analyzing the literature regarding competency-based frameworks, a proposed competency framework that details 13 competency domains is suggested. Each domain describes a series of competencies and suggests behavioral indicators for each competency and, where relevant, associated training expectations. These domains have been organized under three distinct categories or types of competencies: general competency domains; disaster psychosocial intervention competency domains; and disaster psychosocial program leadership and coordination competency domains. Competencies do not replace job descriptions nor should they be confused with performance assessments. What they can do is update and revise job descriptions; orient existing and new employees to their disaster/emergency roles and responsibilities; target training needs; provide the basis for ongoing self-assessment by agencies and individuals as they evaluate their readiness to respond; and provide a job- or role-relevant basis for performance appraisal dimensions or standards and review discussions. Using a modular approach to psychosocial planning, service providers can improve their response capacity by utilizing differences in levels of expertise and training. The competencies outlined in this paper can thus be used to standardize expectations about levels of psychosocial support interventions. In addition this approach provides an adaptable framework that can be adjusted for various contexts.

Survey of Pharmacy Preceptors’ Expectations and Experiences with Students on Rotations in an Inaugural Combined BScPhm/PharmD Class

PubMed Central

Diamantouros, Artemis; Marchesano, Romina; Rzyczniak, Grace; Hardy, Brian

2015-01-01

Background: In September 2011, the Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, began offering a combined BScPhm/PharmD program to third-year students and postbaccalaureate graduates. Learning consisted of in-class teaching and Advanced Pharmacy Practice Experience (APPE) rotations. Objective: To explore preceptors’ expectations and perceptions of student performance in the APPE rotations of the new combined degree program. Methods: A survey was distributed via email to 132 pharmacists from the Toronto Academic Health Science Network who had acted as preceptors for the combined degree program in academic year 2011/2012. The 17 questions were designed to gather information on preceptors’ demographic characteristics and their expectations and evaluations of the combined-program students. Responses were analyzed qualitatively for common themes and quantitatively using sums and means. Survey responses were compared to identify alignment and discrepancies between preceptors’ expectations and evaluations of students. Results: The survey response rate was 48% (63/132). Most respondents (46 [73%]) were from a teaching hospital, and the same proportion (46 [73%]) reported being preceptors for a direct patient care rotation. Forty-four (70%) of the respondents expected students to be at the level of traditional PharmD students, hospital residents, or advanced-level Structured Practical Experience Program students, and 35 (80%) of these 44 respondents reported that their students met or exceeded expectations. According to survey responses, 31% of respondents (18/58) ranked students at the corresponding level of performance on the faculty’s assessment form, while 62% (36/58) ranked students at a higher level (5 respondents did not complete the question). Only one-third of respondents felt that they personally had received adequate training before taking on preceptor duties for combined-program students. Conclusions: Preceptors’ perceptions of the rotation and their expectations of students varied widely and were influenced by prior teaching and learning experiences. There was a disconnect between preceptor-specific expectations and preceptors’ final evaluations of students. Training to standardize the expected level of performance and additional training for preceptors would further enhance the APPE rotations of the combined degree program. PMID:26715781

Contribution of Mathematics In-Service Training Course to the Professional Development of Elementary School Teachers in Israel

ERIC Educational Resources Information Center

Mishal, Adina; Patkin, Dorit

2016-01-01

The present study aimed to explore the contribution of a mathematics in-service training course to elementary school teachers (1st-6th grades) in Israel. The study was conducted among 449 educators. They were required to respond to background questions. Moreover, they were asked to indicate their expectations from the in-service training course…

Competing Perspectives During Organizational Socialization on the Role of Certified Athletic Trainers in High School Settings

PubMed Central

Mensch, James; Crews, Candice; Mitchell, Murray

2005-01-01

Context: When certified athletic trainers (ATCs) enter a workplace, their potential for professional effectiveness is affected by a number of factors, including the individual's ability to put acquired knowledge, skills, and attitudes into practice. This ability may be influenced by the preconceived attitudes and expectations of athletes, athletes' parents, athletic directors, physical therapists, physicians, and coaches. Objective: To examine the perspectives of high school coaches and ATCs toward the ATC's role in the high school setting by looking at 3 questions: (1) What are coaches' expectations of ATCs during different phases of a sport season? (2) What do ATCs perceive their role to be during different phases of a season? and (3) How do coaches' expectations compare with ATCs' expectations? Design: Qualitative research design involving semistructured interviews. Setting: High schools. Patients or Other Participants: Twenty high school varsity basketball coaches from 10 high schools in 2 states and the ATCs assigned to these teams. Main Outcome Measure(s): For the coaches, 12 questions focused on 3 specific areas: (1) the athletic training services they received as high school basketball coaches, (2) each coach's expectations of the ATC with whom he or she was working during various phases of the season, and (3) coaches' levels of satisfaction with the athletic training services provided to their team. For the ATCs, 17 questions focused on 3 areas: (1) the ATC's background, (2) the ATC's perceived duties at different phases of the basketball season and his or her relationship with the coach, and (3) other school factors that enhanced or interfered with the ATC's ability to perform duties. Results: Three themes emerged. Coaches had limited knowledge and understanding of ATCs' qualifications, training, professional preparation, and previous experience. Coaches simply expected ATCs to be available to complement their roles. Positive communication was identified as a critical component to a good coach-ATC relationship. Conclusions: Although all participants valued good communication, poor communication appeared to limit ATCs' contributions to player performance beyond simple availability. Coaches must be educated by ATCs to ensure they are receiving qualified athletic training support. PMID:16404456

Competing perspectives during organizational socialization on the role of certified athletic trainers in high school settings.

PubMed

Mensch, James; Crews, Candice; Mitchell, Murray

2005-01-01

When certified athletic trainers (ATCs) enter a workplace, their potential for professional effectiveness is affected by a number of factors, including the individual's ability to put acquired knowledge, skills, and attitudes into practice. This ability may be influenced by the preconceived attitudes and expectations of athletes, athletes' parents, athletic directors, physical therapists, physicians, and coaches. To examine the perspectives of high school coaches and ATCs toward the ATC's role in the high school setting by looking at 3 questions: (1) What are coaches' expectations of ATCs during different phases of a sport season? (2) What do ATCs perceive their role to be during different phases of a season? and (3) How do coaches' expectations compare with ATCs' expectations? Qualitative research design involving semistructured interviews. High schools. Twenty high school varsity basketball coaches from 10 high schools in 2 states and the ATCs assigned to these teams. For the coaches, 12 questions focused on 3 specific areas: (1) the athletic training services they received as high school basketball coaches, (2) each coach's expectations of the ATC with whom he or she was working during various phases of the season, and (3) coaches' levels of satisfaction with the athletic training services provided to their team. For the ATCs, 17 questions focused on 3 areas: (1) the ATC's background, (2) the ATC's perceived duties at different phases of the basketball season and his or her relationship with the coach, and (3) other school factors that enhanced or interfered with the ATC's ability to perform duties. Three themes emerged. Coaches had limited knowledge and understanding of ATCs' qualifications, training, professional preparation, and previous experience. Coaches simply expected ATCs to be available to complement their roles. Positive communication was identified as a critical component to a good coach-ATC relationship. Although all participants valued good communication, poor communication appeared to limit ATCs' contributions to player performance beyond simple availability. Coaches must be educated by ATCs to ensure they are receiving qualified athletic training support.

Medical Training Experience and Expectations Regarding Future Medical Practice of Medical Students at the University of Cape Verde.

PubMed

Delgado, Antonio Pedro; Soares Martins, Antonieta; Ferrinho, Paulo

2017-10-31

Cape Verde is a small insular developing state. Its first experience of undergraduate medical education began in October 2015. The purpose of this paper is to describe and analyze the professional expectations and profile of the first class of medical students at the University of Cape Verde. A piloted, standardized questionnaire, with closed and open-ended questions, was distributed to registered medical students attending classes on the day of the survey. All data were analyzed using SPSS. Students decided to study medicine in their mid-teens with relatives and friends having had significant influence over their decisions. Other major reasons for choosing medical training include "to take care of other people", "fascination for the subject matters of medicine" and "I have always wanted to". The degree of feminization of the student population is extremely high (20/25; 80.0%). Medical students are in general satisfied with the training program, and have expectations that the training received will allow them to be good professionals. Nevertheless, they consider the course too theoretical. Medical students know that this represents an opportunity for them to contribute to public welfare. Nonetheless, their expectations are to combine public sector practice with private work. Medical students come mostly from Santiago Island where the Capital of the Country is located. They still do not know about their future area of specialization. But all of those who want to specialize want to do so abroad. They mostly expect to follow hospital careers rather than health administration or family and community medicine. This study contributes to the growing body of knowledge about medical students' difficulties and expectations regarding medical schools or curriculums in lusophone countries. The decision to invest in the training of local physicians is justified by the need to be less dependent on foreigners. Local postgraduate medical training programs are already considered a priority for the immediate future. Cape Verde is pursuing a bold strategy to deal with a shortage of medical doctors. The problems experienced by medical students provide an important insight to help the new medical school to provide a better learning environment for students. The fact that students are not sure about their future area of specialization is an opportunity to guide them towards the areas of the health system with pressing needs. The current feminization of the medical workforce will be sustained with the profile of the present intake, hence the need to take this into account in workforce planning.

Exploring Summer Medical Care Within the National Collegiate Athletic Association Division I Setting: A Perspective From the Athletic Trainer

PubMed Central

Mazerolle, Stephanie M.; Eason, Christianne M.; Goodman, Ashley

2016-01-01

Context:  Over the last few decades, the National Collegiate Athletics Association (NCAA) has made changes related to the increase in sanctioned team activities during summer athletics. These changes may affect how athletic training services are provided. Objective:  To investigate the methods by which athletic training departments of NCAA institutions manage expectations regarding athletic training services during the summer. Design:  Mixed-methods qualitative and quantitative study. Setting:  The NCAA Division I. Patients or Other Participants:  Twenty-two athletic trainers (13 men, 9 women) participated. All were employed full time within the NCAA Division I setting. Participants were 35 ± 8 years of age (range, 26−52 years), with 12 ± 7 years (range, 3−29 years) of athletic training experience. Data Collection and Analysis:  All participants completed a series of questions online that consisted of closed- (demographic and Likert-scale 5-point) and open-ended items that addressed the research questions. Descriptive statistics, frequency distributions, and phenomenologic analyses were completed with the data. Peer review and multiple-analyst triangulation established credibility. Results:  Summer athletic training services included 3 primary mechanisms: individual medical care, shared medical care, or a combination of the 2. Participants reported working 40 ± 10 hours during the summer. Likert-item analysis showed that participants were moderately satisfied with their summer medical care structure (3.3 ± 1.0) and with the flexibility of summer schedules (3.0 ± 1.2). Yet the qualitative analysis revealed that perceptions of summer medical care were more positive for shared-care participants than for individual- or combination-care participants. The perceived effect on the athletic trainer included increased workload and expectations and a negative influence on work-life balance, particularly in terms of decreased schedule flexibility and opportunities for rejuvenation. For many, the summer season mimicked the hours, workload, and expectations of the nontraditional season. Conclusions:  The NCAA rule changes and medical care expectations affected the summer workload of athletic trainers, but job sharing seemed to help them manage conflict associated with providing summer athletic training services. PMID:26881869

Diversity of effective treatments of panic attacks: what do they have in common?

PubMed

Roth, Walton T

2010-01-01

By comparing efficacious psychological therapies of different kinds, inferences about common effective treatment mechanisms can be made. We selected six therapies for review on the basis of the diversity of their theoretical rationales and evidence for superior efficacy: psychoanalytic psychotherapy, hypercapnic breathing training, hypocapnic breathing training, reprocessing with and without eye-movement desensitization, muscle relaxation, and cognitive behavior therapy. The likely common element of all these therapies is that they reduce the immediate expectancy of a panic attack, disrupting the vicious circle of fearing fear. Modifying expectation is usually regarded as a placebo mechanism in psychotherapy, but may be a specific treatment mechanism for panic. The fact that this is seldom the rationale communicated to the patient creates a moral dilemma: Is it ethical for therapists to mislead patients to help them? Pragmatic justification of a successful practice is a way out of this dilemma. Therapies should be evaluated that deal with expectations directly by promoting positive thinking or by fostering non-expectancy.

Accrediting Graduate Medical Education in Psychiatry: Past, Present, and Future.

PubMed

Johnson, Toni; John, Nadyah Janine; Lang, Michael; Shelton, P G

2017-06-01

The current terminology, goals, and general competency framework systematically utilized in the education of residents regardless of specialty is almost unrecognizable and quite foreign to those who trained before 2010. For example, the clinical and professional expectations for physicians-in-training have been placed onto a developmental framework of milestones. The expectations required during training have been expanded to include leadership and team participation skills, proficiency in the use of information technology, systems-based knowledge including respect of resources and cost of care, patient safety, quality improvement, population health and sensitivity to diversity for both individual and populations of patients. With these additions to physician training, the Accreditation Council for Graduate Medical Education (ACGME) hopes to remain accountable to the social contract between medicine and the public. With a focus on psychiatric practice, this article provides a general background and overview of the major overhaul of the accreditation process and educational goals for graduate medical education and briefly highlights possibilities for the future.

Chaotic carrier pulse position modulation communication system and method

DOEpatents

Abarbanel, Henry D. I.; Larson, Lawrence E.; Rulkov, Nikolai F.; Sushchik, Mikhail M.; Tsimring, Lev S.; Volkovskii, Alexander R.

2001-01-01

A chaotic carrier pulse position modulation communication system and method is disclosed. The system includes a transmitter and receiver having matched chaotic pulse regenerators. The chaotic pulse regenerator in the receiver produces a synchronized replica of a chaotic pulse train generated by the regenerator in the transmitter. The pulse train from the transmitter can therefore act as a carrier signal. Data is encoded by the transmitter through selectively altering the interpulse timing between pulses in the chaotic pulse train. The altered pulse train is transmitted as a pulse signal. The receiver can detect whether a particular interpulse interval in the pulse signal has been altered by reference to the synchronized replica it generates, and can therefore detect the data transmitted by the receiver. Preferably, the receiver predicts the earliest moment in time it can expect a next pulse after observation of at least two consecutive pulses. It then decodes the pulse signal beginning at a short time before expected arrival of a pulse.

Context effects in a temporal discrimination task" further tests of the Scalar Expectancy Theory and Learning-to-Time models.

PubMed

Arantes, Joana; Machado, Armando

2008-07-01

Pigeons were trained on two temporal bisection tasks, which alternated every two sessions. In the first task, they learned to choose a red key after a 1-s signal and a green key after a 4-s signal; in the second task, they learned to choose a blue key after a 4-s signal and a yellow key after a 16-s signal. Then the pigeons were exposed to a series of test trials in order to contrast two timing models, Learning-to-Time (LeT) and Scalar Expectancy Theory (SET). The models made substantially different predictions particularly for the test trials in which the sample duration ranged from 1 s to 16 s and the choice keys were Green and Blue, the keys associated with the same 4-s samples: LeT predicted that preference for Green should increase with sample duration, a context effect, but SET predicted that preference for Green should not vary with sample duration. The results were consistent with LeT. The present study adds to the literature the finding that the context effect occurs even when the two basic discriminations are never combined in the same session.

Planning Training Workload in Football Using Small-Sided Games' Density.

PubMed

Sangnier, Sebastien; Cotte, Thierry; Brachet, Olivier; Coquart, Jeremy; Tourny, Claire

2018-05-08

Sangnier, S, Cotte, T, Brachet, O, Coquart, J, and Tourny, C. Planning training workload in football using small-sided games density. J Strength Cond Res XX(X): 000-000, 2018-To develop the physical qualities, the small-sided games' (SSGs) density may be essential in soccer. Small-sided games are games in which the pitch size, players' number, and rules are different to those for traditional soccer matches. The purpose was to assess the relation between training workload and SSGs' density. The 33 densities data (41 practice games and 3 full games) were analyzed through global positioning system (GPS) data collected from 25 professional soccer players (80.7 ± 7.0 kg; 1.83 ± 0.05 m; 26.4 ± 4.9 years). From total distance, distance metabolic power, sprint distance, and acceleration distance, the data GPS were divided into 4 categories: endurance, power, speed, and strength. Statistical analysis compared the relation between GPS values and SSGs' densities, and 3 methods were applied to assess models (R-squared, root-mean-square error, and Akaike information criterion). The results suggest that all the GPS data match the player's essential athletic skills. They were all correlated with the game's density. Acceleration distance, deceleration distance, metabolic power, and total distance followed a logarithmic regression model, whereas distance and number of sprints follow a linear regression model. The research reveals options to monitor the training workload. Coaches could anticipate the load resulting from the SSGs and adjust the field size to the players' number. Taking into account the field size during SSGs enables coaches to target the most favorable density for developing expected physical qualities. Calibrating intensity during SSGs would allow coaches to assess each athletic skill in the same conditions of intensity as in the competition.

Influence of combined iron supplementation and simulated hypoxia on the haematological module of the athlete biological passport.

PubMed

Garvican-Lewis, Laura A; Vuong, Victor L; Govus, Andrew D; Schumacher, Yorck Olaf; Hughes, David; Lovell, Greg; Eichner, Daniel; Gore, Christopher J

2018-04-01

The integrity of the athlete biological passport (ABP) is underpinned by understanding normal fluctuations of its biomarkers to environmental or medical conditions, for example, altitude training or iron deficiency. The combined impact of altitude and iron supplementation on the ABP was evaluated in endurance-trained athletes (n = 34) undertaking 3 weeks of simulated live-high: train-low (14 h.d -1 , 3000 m). Athletes received either oral, intravenous (IV) or placebo iron supplementation, commencing 2 weeks prior and continuing throughout hypoxic exposure. Venous blood was sampled twice prior, weekly during, and up to 6 weeks after altitude. Individual ABP thresholds for haemoglobin concentration ([Hb]), reticulocyte percentage (%retic), and OFF score were calculated using the adaptive model and assessed at 99% and 99.9% specificity. Eleven athletes returned values outside of the calculated reference ranges at 99%, with 8 at 99.9%. The percentage of athletes exceeding the thresholds in each group was similar, but IV returned the most individual occurrences. A similar frequency of abnormalities occurred across the 3 biomarkers, with abnormal [Hb] and OFF score values arising mainly during-, and %retic values mainly post- altitude. Removing samples collected during altitude from the model resulted in 10 athletes returning abnormal values at 99% specificity, 2 of whom had not triggered the model previously. In summary, the abnormalities observed in response to iron supplementation and hypoxia were not systematic and mostly in line with expected physiological adaptations. They do not represent a uniform weakness in the ABP. Nevertheless, altitude training and iron supplementation should be carefully considered by experts evaluating abnormal ABP profiles. Copyright © 2017 John Wiley & Sons, Ltd.

NIRS-based neurofeedback training in a virtual reality classroom for children with attention-deficit/hyperactivity disorder: study protocol for a randomized controlled trial.

PubMed

Blume, Friederike; Hudak, Justin; Dresler, Thomas; Ehlis, Ann-Christine; Kühnhausen, Jan; Renner, Tobias J; Gawrilow, Caterina

2017-01-24

Children with attention-deficit/hyperactivity disorder (ADHD) suffer from attention deficits, motor hyperactivity, and impulsive behaviour. These impairments are experienced at home, at school, and with friends. Functional imaging studies show that ADHD behaviour and impairments in executive functions (EFs) are mirrored by aberrant neurophysiological functioning. Moreover, several studies show that ADHD behaviour, impairments in EFs, and a lack of self-control contribute to poor school performance. Non-pharmacological interventions such as neurofeedback training (NFT), for instance, aim at improving neurophysiological and neuropsychological functioning as well as behaviour. Consequently, NFT is expected to improve school performance, EFs, and self-control in children with ADHD. Generalization of acquired self-regulation skills from laboratory to real life is crucial for a transfer to everyday situations and is hypothesized to be facilitated via training using virtual reality (VR) environments. Consequently, experiencing NFT in VR is expected to yield greater effects than training in two dimensions (2D). Ninety children with a clinical diagnosis of ADHD will be included in the study. Participants may be medicated or unmedicated. After random assignation to one of three conditions, all participants receive 15 training sessions of either near-infrared spectroscopy (NIRS)-based NFT in VR, NIRS-based NFT in 2D, or electromyogram-based biofeedback training in VR. ADHD symptoms, self-control, EF, health-related quality of life, school performance, and motor activity measured via parent, teacher, and child reports or objectively will be assessed before and after the intervention and at a 6 months follow-up. Furthermore, we are interested in parents' expectations about the training's effects. This is, to our knowledge, the first study investigating the efficacy of NFT for children with ADHD in a VR compared to a 2D environment. Furthermore, this study will contribute to the discussion about the efficacy and specific and unspecific effects of NFTs in children with ADHD. In addition to commonly assessed variables such as ADHD symptoms, NIRS and behavioural data obtained in EF measures, health-related quality of life, and parents' expectations about the intervention's effects, this study will investigate the effects on self-control, school performance, and motor activity. ClinicalTrials.gov, NCT02572180 . Registered on 19 November 2015.

Clinician perceptions of an electronic medical record during the first year of implementaton in emergency services.

PubMed

Chisolm, Deena J; Purnell, Tanjala S; Cohen, Daniel M; McAlearney, Ann Scheck

2010-02-01

The objectives of this study were to measure clinician perceptions of the recently implemented electronic medical record (EMR) system in a pediatric emergency department and off-site urgent care centers and to determine how user perceptions changed over time. Physicians and nurses from the emergency department/urgent care center were recruited to complete an online survey at 3 points in time: 30 to 89 days (wave 1), 90 to 179 days (wave 2), and 180 to 270 days after implementation (wave 3). Potential predictors of initial satisfaction studied included effort expectancy, performance expectancy, social support, and facilitating conditions, along with user demographics and general attitudes toward technology. Bivariate relationships with satisfaction were assessed using the Wilcoxon rank sum test and correlation analysis. A final multivariate linear regression model was calculated. Change in satisfaction over time was tested using a Wilcoxon signed rank test. A total of 71 clinicians completed the surveys. Initial satisfaction was strongly associated with perceptions of training and support (facilitating conditions) and with perceived usefulness (performance expectancy). Satisfaction was not associated with user sex, age, or role (physician vs nurse). No significant change was found in any satisfaction measure at wave 2 or 3; however, satisfaction with functionality trended higher and satisfaction with reliability trended lower over the course of use. Satisfaction with an EMR at its launch generally persisted through the first year of use. Implementation plans must maximize the likelihood of achieving positive early impressions of training, support, and performance to engender high user satisfaction with the EMR.

I-Hydrate training intervention for staff working in a care home setting: An observational study.

PubMed

Greene, Carolynn; Canning, Deebs; Wilson, Jennie; Bak, Aggie; Tingle, Alison; Tsiami, Amalia; Loveday, Heather

2018-05-23

Dehydration is a complex and well-recognised problem for older people residing in care homes. Within the social care sector support staff provide the majority of direct care for residents, and yet receive minimal training. To design, deliver and evaluate a hydration specific training session for care home staff to develop their knowledge and skills in supporting the hydration of care home residents. An observational study comprising a pre-test post-test survey of staff knowledge following a training intervention. Training of care home staff took place in two care homes in North West London. An interactive training session was developed and delivered, with content informed by observations of hydration care within the two homes and evaluated using CIRO model. Participant self-evaluation forms were used to collect data after the session regarding satisfaction and usefulness of the session, and pre and post levels of self-reported knowledge across six facets of hydration care. Training facilitators captured qualitative data in the form of field notes. Observations of hydration care explored the impact of training on practice. Eighteen training sessions were delivered. A total of 161 participant evaluation forms were returned. There was a significant increase in self-reported knowledge across all six facets of hydration care (p = 0.000). The majority of participants found the training enjoyable and useful, and expressed an expected change in their practice. Participants enjoyed the interactive components of the training. A lack of reflective practice skills meant participants were unable to reflect realistically about the hydration care provided in the home. Focused training on hydration in the care home environment benefits from being interactive and experiential. Although such training can be effective in increasing staff knowledge, inclusion of skills in reflective practice is required if this knowledge is to be translated into practice. Copyright © 2018 Elsevier Ltd. All rights reserved.

A score card for upper GI endoscopy: Evaluation of interobserver variability in examiners with various levels of experience.

PubMed

Neumann, M; Friedl, S; Meining, A; Egger, K; Heldwein, W; Rey, J F; Hochberger, J; Classen, M; Hohenberger, W; Rösch, T

2002-10-01

In most European countries, training in GI endoscopy has largely been based on hands-on acquisition of experience in patients rather than on a structured training programme. With the development of training models systematic hands-on training in a variety of diagnostic and therapeutic endoscopy techniques was achieved. Little, however, is known about methods of objectively assessing trainees' performance. We therefore developed an assessment 'score card' for upper GI endoscopy and tested it in endoscopists with various levels of experience. The aim of the study was therefore to assess interobserver variations in the evaluation of trainees. On the basis of textbook and expert opinions a consensus group of eight experienced endoscopists developed a score card for diagnostic upper GI endoscopy with biopsy. The score card includes an assessment of the single steps of the procedure as well as of the times needed to complete each step. This score card was then evaluated in a further conference including ten experts who blindly assessed videotapes of 15 endoscopists performing upper GI endoscopy in a training bio-simulation model (the 'Erlangen Endo-Trainer'). On the basis of their previous experience (i. e. the number of endoscopies performed) these 15 endoscopists were classified into four groups: very experienced, experienced, having some experience and inexperienced. Interobserver variability (IOV) was tested for the various score card parameters (Kendall's rank-correlation coefficient 0.0-0.5 poor, 0.5-1.0 good agreement). In addition, the correlation between the score card assessment and the examiners' experience levels was analysed. Despite poor IOV results for all the parameters tested (Kendall coefficient < 0.3), the assessment parameters correlated well when the examiners' different experience levels were taken into account (correlation coefficient 0.59-0.89, p < 0.05). The score card parameters were suitable for differentiating between the four groups of examiners with different levels of endoscopic experience. As expected with scores involving subjective assessment of performance, the variability between reviewers was substantial. Nevertheless, the assessment score was capable of distinguishing reliably between different experience levels in terms of a good individual observer consistency. The score card can therefore be used to document both training status and progress during endoscopy training courses using bio-simulation models, and this might be able to provide improved quality assurance in GI endoscopy training.

Energy consumption model on WiMAX subscriber station

NASA Astrophysics Data System (ADS)

Mubarakah, N.; Suherman; Al-Hakim, M. Y.; Warman, E.

2018-02-01

Mobile communication technologies move toward miniaturization. Mobile device’s energy source relies on its battery endurance. The smaller the mobile device, it is expected the slower the battery drains. Energy consumption reduction in mobile devices has been of interest of researcher. In order to optimize energy consumption, its usage should be predictable. This paper proposes a model of predicted energy amount consumed by the WiMAX subscriber station by using regression analysis of active WiMAX states and their durations. The proposed model was assessed by using NS-2 simulation for more than a hundred thousand of recorded energy consumptions data in every WiMAX states. The assessment show a small average deviation between predicted and measured energy consumptions, about 0.18% for training data and 0.187% and 0.191% for test data.

Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis

NASA Astrophysics Data System (ADS)

Monekosso, Dorothy; Remagnino, Paolo

This paper describes a data generator that produces synthetic data to simulate observations from an array of environment monitoring sensors. The overall goal of our work is to monitor the well-being of one occupant in a home. Sensors are embedded in a smart home to unobtrusively record environmental parameters. Based on the sensor observations, behavior analysis and modeling are performed. However behavior analysis and modeling require large data sets to be collected over long periods of time to achieve the level of accuracy expected. A data generator - was developed based on initial data i.e. data collected over periods lasting weeks to facilitate concurrent data collection and development of algorithms. The data generator is based on statistical inference techniques. Variation is introduced into the data using perturbation models.

A Multi-Institutional Big Data Collaboration to Estimate Long Term Terrestrial Net Carbon Uptake from Remote Sensing and Hydrological Modeling

NASA Astrophysics Data System (ADS)

Halem, M.; Dorband, J.; Rao, R.; Lomonaco, S.; Chapman, D. R.; LeMoigne, J.; Nearing, G. S.; Pelissier, C. S.; Simpson, D. G.; Clune, T.

2014-12-01

Recent aircraft measurements from scattered records have shown long-term, global, seasonal photosynthetic CO2 uptake over land accelerating over the past 50 years. The successful launch of the sun-synchronous Orbiting Carbon Observatory 2 (OCO-2) on July 2, 2014 is expected to provide global, high spatial and spectral resolution datasets of vertical CO2 concentrations with surface spectral resolutions capable of yielding accurate CO2 flux profiles. It is unclear whether the biosphere will continue to act as a sink for anthropogenic CO2 loading of the atmosphere. Since current climate models with detailed terrestrial ecosystems are unable to simulate the observed increase in net ecosystem production (NEP), we will conduct assimilation studies with the derived CO2 fluxes in the GSFC Land Information System hydrological model to validate the generated NEP uptake. Further, we plan to use the OCO-2 CO2 concentrations to train a neural network to enable the calculation of long term trends from a decade of AIRS CO2 concentration data to produce regional NEP. To address this important Big Data science issue, a multi-institutional collaboration was formed to leverage their combined resources and the expertise of the researchers at the NASA GSFC, the Lamont Doherty Earth Observatory and UMBC. We will employ a high speed 10Gb network to connect the collaborating researchers and provide them with remote access to dedicated computational hybrid multicore resources at UMBC, as well as access to an archive containing more than a decade of readily accessible continuous daily gridded AIRS data and ten years of daily MODIS data for each September. The status of the following research efforts is planned to be presented; (i) acquisition and processing of the expected CO2 profile data from OCO-2 for two test sites, a low latitude region over the Amazon and a Boral forest at high latitude, (ii) initial impact of 3-D data assimilation of CO2 fluxes with the advanced Goddard LIS hydrological surface model, (iii) preliminary results in training AIRS CO2 data. In addition, early results of innovative exploration on quantum annealing optimization for 3-D data assimilation, image registration and a Hopfield neural network for training the AIRS CO2 spectral data through UMBC remote access to the D-Wave system in Vancouver, CA, will be introduced.

Training Medical Professionals in the Prevention and Intervention of AIDS.

ERIC Educational Resources Information Center

Bander, Ricki S.

Most physicians can expect to counsel a family or individual concerned about possible exposure to acquired immue deficiency syndrome (AIDS). Medical professionals need comprehensive AIDS training and educational programs which cover medical, epidemiologic, psychosocial, and neuropsychiatric aspects of AIDS. Counseling psychologists can provide a…

Training Programs: A Methodological Note.

ERIC Educational Resources Information Center

Romi, Shlomo; Teichman, Meir

2001-01-01

Discusses the importance of situational factors in training program development, particularly in programs intended for professionals in the fields of mental health and social welfare. Proposes a methodological manner for selecting situations relevant to future tasks that revolve around the role the professional is expected to fulfill. (Author/LRW)

Current target acquisition methodology in force on force simulations

NASA Astrophysics Data System (ADS)

Hixson, Jonathan G.; Miller, Brian; Mazz, John P.

2017-05-01

The U.S. Army RDECOM CERDEC NVESD MSD's target acquisition models have been used for many years by the military community in force on force simulations for training, testing, and analysis. There have been significant improvements to these models over the past few years. The significant improvements are the transition of ACQUIRE TTP-TAS (ACQUIRE Targeting Task Performance Target Angular Size) methodology for all imaging sensors and the development of new discrimination criteria for urban environments and humans. This paper is intended to provide an overview of the current target acquisition modeling approach and provide data for the new discrimination tasks. This paper will discuss advances and changes to the models and methodologies used to: (1) design and compare sensors' performance, (2) predict expected target acquisition performance in the field, (3) predict target acquisition performance for combat simulations, and (4) how to conduct model data validation for combat simulations.

Warrior Model for Human Performance and Injury Prevention: Eagle Tactical Athlete Program (ETAP) Part II.

PubMed

Sell, Timothy C; Abt, John P; Crawford, Kim; Lovalekar, Mita; Nagai, Takashi; Deluzio, Jennifer B; Smalley, Brain W; McGrail, Mark A; Rowe, Russell S; Cardin, Sylvain; Lephart, Scott M

2010-01-01

Physical training for United States military personnel requires a combination of injury prevention and performance optimization to counter unintentional musculoskeletal injuries and maximize warrior capabilities. Determining the most effective activities and tasks to meet these goals requires a systematic, research-based approach that is population specific based on the tasks and demands of the Warrior. The authors have modified the traditional approach to injury prevention to implement a comprehensive injury prevention and performance optimization research program with the 101st Airborne Division (Air Assault) at Fort Campbell, KY. This is second of two companion papers and presents the last three steps of the research model and includes Design and Validation of the Interventions, Program Integration and Implementation, and Monitor and Determine the Effectiveness of the Program. An 8-week trial was performed to validate the Eagle Tactical Athlete Program (ETAP) to improve modifiable suboptimal characteristics identified in Part I. The experimental group participated in ETAP under the direction of a ETAP Strength and Conditioning Specialist while the control group performed the current physical training at Fort Campbell under the direction of a Physical Training Leader and as governed by FM 21-20 for the 8-week study period. Soldiers performing ETAP demonstrated improvements in several tests for strength, flexibility, performance, physiology, and the APFT compared to current physical training performed at Fort Campbell. ETAP was proven valid to improve certain suboptimal characteristics within the 8-week trial as compared to the current training performed at Fort Campbell. ETAP has long-term implications and with expected greater improvements when implemented into a Division pre-deployment cycle of 10-12 months which will result in further systemic adaptations for each variable.

Extinction, reacquisition, and rapid forgetting of eyeblink conditioning in developing rats

PubMed Central

Freeman, John H.

2014-01-01

Eyeblink conditioning is a well-established model for studying the developmental neurobiology of associative learning and memory. However, age differences in extinction and subsequent reacquisition have yet to be studied using this model. The present study examined extinction and reacquisition of eyeblink conditioning in developing rats. In Experiment 1, post-natal day (P) 17 and 24 rats were trained to a criterion of 80% conditioned responses (CRs) using stimulation of the middle cerebellar peduncle (MCP) as a conditioned stimulus (CS). Stimulation CS-alone extinction training commenced 24 h later, followed by reacquisition training after the fourth extinction session. Contrary to expected results, rats trained starting on P17 showed significantly fewer CRs to stimulation CS-alone presentations relative to P24s, including fewer CRs as early as the first block of extinction session 1. Furthermore, the P17 group was slower to reacquire following extinction. Experiment 2 was run to determine the extent to which the low CR percentage observed in P17s early in extinction reflected rapid forgetting versus rapid extinction. Twenty-four hours after reaching criterion, subjects were trained in a session split into 50 stimulation CS-unconditioned stimulus paired trials followed immediately by 50 stimulation CS-alone trials. With this “immediate” extinction protocol, CR percentages during the first block of stimulation CS-alone presentations were equivalent to terminal acquisition levels at both ages but extinction was more rapid in the P17 group. These findings indicate that forgetting is observed in P17 relative to P24 rats 24 h following acquisition. The forgetting in P17 rats has important implications for the neurobiological mechanisms of memory in the developing cerebellum. PMID:25403458

Practice makes proficient: pigeons (Columba livia) learn efficient routes on full-circuit navigational traveling salesperson problems.

PubMed

Baron, Danielle M; Ramirez, Alejandro J; Bulitko, Vadim; Madan, Christopher R; Greiner, Ariel; Hurd, Peter L; Spetch, Marcia L

2015-01-01

Visiting multiple locations and returning to the start via the shortest route, referred to as the traveling salesman (or salesperson) problem (TSP), is a valuable skill for both humans and non-humans. In the current study, pigeons were trained with increasing set sizes of up to six goals, with each set size presented in three distinct configurations, until consistency in route selection emerged. After training at each set size, the pigeons were tested with two novel configurations. All pigeons acquired routes that were significantly more efficient (i.e., shorter in length) than expected by chance selection of the goals. On average, the pigeons also selected routes that were more efficient than expected based on a local nearest-neighbor strategy and were as efficient as the average route generated by a crossing-avoidance strategy. Analysis of the routes taken indicated that they conformed to both a nearest-neighbor and a crossing-avoidance strategy significantly more often than expected by chance. Both the time taken to visit all goals and the actual distance traveled decreased from the first to the last trials of training in each set size. On the first trial with novel configurations, average efficiency was higher than chance, but was not higher than expected from a nearest-neighbor or crossing-avoidance strategy. These results indicate that pigeons can learn to select efficient routes on a TSP problem.

Baseline evidence-based practice use, knowledge, and attitudes of allied health professionals: a survey to inform staff training and organisational change.

PubMed

Wilkinson, Shelley A; Hinchliffe, Fiona; Hough, Judith; Chang, Anne

2012-01-01

Evidence-based practice (EBP) is fundamental to improving patient outcomes. Universal adoption of EBP into the allied health clinical setting has not yet occurred. The primary aim of this project was to capture baseline measurements of the level of EBP self-efficacy, outcome expectancy, knowledge and use at our health service prior to training and organisational changes to support EBP. All allied health staff (n=252) employed across the campus were invited to participate in an online survey consisting of a battery of validated and reliable survey tools. Professional background, knowledge and previous training in EBP and research processes were collected. One hundred eighty-two allied health staff completed the survey (response rate 72%). One-way ANOVAs were used to compare levels of self-efficacy, outcome expectancy, knowledge and use, according to allied health discipline and experience with EBP and research processes. Mean scores for EBP attitudes (self-efficacy and outcome expectancy) and knowledge were higher than for use. Professional group differences were noted in the post-hoc analysis of the significant EBP constructs. Regression analyses indicated that EBP course attendance as well as training in research design and analysis impacted positively on EBP construct scores. Despite positive attitudes about, a belief in and knowledge of EBP, self-reports of EBP processes do not indicate systematic application in the allied health workplace. The results of this research will inform a targeted intervention to foster ongoing training in EBP and research activity for allied health staff.

A survey-based cross-sectional study of doctors’ expectations and experiences of non-technical skills for Out of Hours work

PubMed Central

Brown, Michael; Shaw, Dominick; Sharples, Sarah; Jeune, Ivan Le; Blakey, John

2015-01-01

Objectives The skill set required for junior doctors to work efficiently and safely Out of Hours (OoH) in hospitals has not been established. This is despite the OoH period representing 75% of the year and it being the time of highest mortality. We set out to explore the expectations of medical students and experiences of junior doctors of the non-technical skills needed to work OoH. Design Survey-based cross-sectional study informed by focus groups. Setting Online survey with participants from five large teaching hospitals across the UK. Participants 300 Medical Students and Doctors Outcome measure Participants ranked the importance of non-technical skills, as identified by literature review and focus groups, needed for OoH care. Results The focus groups revealed a total of eight non-technical skills deemed to be important. In the survey ‘Task Prioritisation’ (mean rank 1.617) was consistently identified as the most important non-technical skill. Stage of training affected the ranking of skills, with significant differences for ‘Communication with Senior Doctors’, ‘Dealing with Clinical Isolation’, ‘Task Prioritisation’ and ‘Communication with Patients’. Importantly, there was a significant discrepancy between the medical student expectations and experiences of doctors undertaking work. Conclusions Our findings suggest that medical staff particularly value task prioritisation skills; however, these are not routinely taught in medical schools. The discrepancy between expectations of students and experience of doctors reinforces the idea that there is a gap in training. Doctors of different grades place different importance on specific non-technical skills with implications for postgraduate training. There is a pressing need for medical schools and deaneries to review non-technical training to include more than communication skills. PMID:25687899

Effects of Video Game Training on Measures of Selective Attention and Working Memory in Older Adults: Results from a Randomized Controlled Trial.

PubMed

Ballesteros, Soledad; Mayas, Julia; Prieto, Antonio; Ruiz-Marquez, Eloísa; Toril, Pilar; Reales, José M

2017-01-01

Video game training with older adults potentially enhances aspects of cognition that decline with aging and could therefore offer a promising training approach. Although, previous published studies suggest that training can produce transfer, many of them have certain shortcomings. This randomized controlled trial (RCT; Clinicaltrials.gov ID: NCT02796508) tried to overcome some of these limitations by incorporating an active control group and the assessment of motivation and expectations. Seventy-five older volunteers were randomly assigned to the experimental group trained for 16 sessions with non-action video games from Lumosity , a commercial platform (http://www.lumosity.com/) or to an active control group trained for the same number of sessions with simulation strategy games. The final sample included 55 older adults (30 in the experimental group and 25 in the active control group). Participants were tested individually before and after training to assess working memory (WM) and selective attention and also reported their perceived improvement, motivation and engagement. The results showed improved performance across the training sessions. The main results were: (1) the experimental group did not show greater improvements in measures of selective attention and working memory than the active control group (the opposite occurred in the oddball task); (2) a marginal training effect was observed for the N -back task, but not for the Stroop task while both groups improved in the Corsi Blocks task. Based on these results, one can conclude that training with non-action games provide modest benefits for untrained tasks. The effect is not specific for that kind of training as a similar effect was observed for strategy video games. Groups did not differ in motivation, engagement or expectations.

Effects of Video Game Training on Measures of Selective Attention and Working Memory in Older Adults: Results from a Randomized Controlled Trial

PubMed Central

Ballesteros, Soledad; Mayas, Julia; Prieto, Antonio; Ruiz-Marquez, Eloísa; Toril, Pilar; Reales, José M.

2017-01-01

Video game training with older adults potentially enhances aspects of cognition that decline with aging and could therefore offer a promising training approach. Although, previous published studies suggest that training can produce transfer, many of them have certain shortcomings. This randomized controlled trial (RCT; Clinicaltrials.gov ID: NCT02796508) tried to overcome some of these limitations by incorporating an active control group and the assessment of motivation and expectations. Seventy-five older volunteers were randomly assigned to the experimental group trained for 16 sessions with non-action video games from Lumosity, a commercial platform (http://www.lumosity.com/) or to an active control group trained for the same number of sessions with simulation strategy games. The final sample included 55 older adults (30 in the experimental group and 25 in the active control group). Participants were tested individually before and after training to assess working memory (WM) and selective attention and also reported their perceived improvement, motivation and engagement. The results showed improved performance across the training sessions. The main results were: (1) the experimental group did not show greater improvements in measures of selective attention and working memory than the active control group (the opposite occurred in the oddball task); (2) a marginal training effect was observed for the N-back task, but not for the Stroop task while both groups improved in the Corsi Blocks task. Based on these results, one can conclude that training with non-action games provide modest benefits for untrained tasks. The effect is not specific for that kind of training as a similar effect was observed for strategy video games. Groups did not differ in motivation, engagement or expectations. PMID:29163136

The influence of tutor training for peer tutors in the dissection course on the learning behavior of students.

PubMed

Shiozawa, T; Hirt, B; Lammerding-Koeppel, M

2016-11-01

Student tutors in the dissection course are expected to meet high demands in their job, to fulfill these expectations they receive training. Combined tutor training is well accepted by tutors and tutees, however, it is not known how tutor training influences student learning. Deduced from the learning goals of the tutor training, a randomized, controlled, single-blinded study was set up with a quantitative cross-sectional analysis to compare student learning behavior. A total of 197 medical students, coached either by ten trained or ten untrained tutors, were enlisted in the study. To assess the students' learning behavior we employed the LIST questionnaire. A common factor analysis was calculated to extract dimensions. Factor scores of the extracted dimensions were calculated for both groups to estimate differences in learning behavior. Factor analysis of the LIST questionnaire revealed eight factors explaining 47.57% of the overall variance. The eight factors comprise: deep learning, attention, learning organization, cooperative learning, time management, learning effort, superficial learning and learning environment. Comparing the factor scores of the extracted dimensions, students coached by trained tutors learned significantly more with their fellow students (factor score in cooperative learning 0.194 vs. -0.205, p<0.05), than students trained by untrained tutors. Students coached by trained tutors also tend to be better organized in their learning (factor score in learning organization 0.115 vs. -0.122, p=0.16). The learning behavior of students coached by trained tutors differs from the learning behavior of students coached by untrained tutors. Students coached by trained tutors learn significantly more often in teams than their colleagues and are better organized. Copyright © 2016 Elsevier GmbH. All rights reserved.

Entrepreneurial model based technology creative industries sector software through the use of free open source software for Universitas Pendidikan Indonesia students

NASA Astrophysics Data System (ADS)

Hasan, B.; Hasbullah; Purnama, W.; Hery, A.

2016-04-01

Creative industry development areas of software by using Free Open Source Software (FOSS) is expected to be one of the solutions to foster new entrepreneurs of the students who can open job opportunities and contribute to economic development in Indonesia. This study aims to create entrepreneurial coaching model based on the creative industries by utilizing FOSS software field as well as provide understanding and fostering entrepreneurial creative industries based field software for students of Universitas Pendidikan Indonesia. This activity phase begins with identifying entrepreneurs or business software technology that will be developed, training and mentoring, apprenticeship process at industrial partners, creation of business plans and monitoring and evaluation. This activity involves 30 UPI student which has the motivation to self-employment and have competence in the field of information technology. The results and outcomes expected from these activities is the birth of a number of new entrepreneurs from the students engaged in the software industry both software in the world of commerce (e-commerce) and education/learning (e-learning/LMS) and games.

The Air Force Fitness Test: Creating New Fitness Assessment Charts Using Waist to Height Ratios

DTIC Science & Technology

2017-03-23

concurrence with their schedule, and the memo gave more direction to physical training leaders (PTLs). The memorandum provided training expectations for...van Leer, Seidell, and Lean (1995) concluded an increased cardiovascular disease risk is positively associated with waist circumference (Han, van...Air Force Institute of Technology Air University Air Education and Training Command In Partial Fulfillment of the Requirements for the Degree of

Chile: Acceptability of a Training Program for Depression Management in Primary Care

PubMed Central

Marín, Rigoberto; Martínez, Pablo; Cornejo, Juan P.; Díaz, Berta; Peralta, José; Tala, Álvaro; Rojas, Graciela

2016-01-01

Background: In Chile, there are inconsistencies in the management of depression in primary care settings, and the National Depression Program, currently in effect, was implemented without a standardized training program. The objective of this study is to evaluate the acceptability of a training program on the management of depression for primary care health teams. Methods: The study was a randomized controlled trial, and two primary centers from the Metropolitan Region of Santiago were randomly selected to carry out the intervention training program. Pre-post surveys were applied, to evaluate expectations and satisfaction with the intervention, respectively. Descriptive and content analysis was carried out. Result: The sample consisted of 41 health professionals, 56.1% of who reported that their expectations for the intervention were met. All of the training activities were evaluated with scores higher than 6.4 (on a 1–7 scale). The trainers, the methodology, and the learning environment were considered strengths and facilitators of the program, while the limited duration of the training, the logistical problems faced during part of the program, and the lack of educational material were viewed as weaknesses. Conclusion: The intervention was well accepted by primary health care teams. However, the clinical impact in patients still has to be evaluated. PMID:27375531

Community-based distributive medical education: Advantaging society

PubMed Central

Farnsworth, Tracy J.; Frantz, Alan C.; McCune, Ronald W.

2012-01-01

This paper presents a narrative summary of an increasingly important trend in medical education by addressing the merits of community-based distributive medical education (CBDME). This is a relatively new and compelling model for teaching and training physicians in a manner that may better meet societal needs and expectations. Issues and trends regarding the growing shortage and imbalanced distribution of physicians in the USA are addressed, including the role of international medical graduates. A historical overview of costs and funding sources for medical education is presented, as well as initiatives to increase the training and placement of physicians cost-effectively through new and expanded medical schools, two- and four-year regional or branch campuses and CBDME. Our research confirms that although medical schools have responded to Association of American Medical Colleges calls for higher student enrollment and societal concerns about the distribution and placement of physicians, significant opportunities for improvement remain. Finally, the authors recommend further research be conducted to guide policy on incentives for physicians to locate in underserved communities, and determine the cost-effectiveness of the CBDME model in both the near and long terms. PMID:22355240

Random forest classification of stars in the Galactic Centre

NASA Astrophysics Data System (ADS)

Plewa, P. M.

2018-05-01

Near-infrared high-angular resolution imaging observations of the Milky Way's nuclear star cluster have revealed all luminous members of the existing stellar population within the central parsec. Generally, these stars are either evolved late-type giants or massive young, early-type stars. We revisit the problem of stellar classification based on intermediate-band photometry in the K band, with the primary aim of identifying faint early-type candidate stars in the extended vicinity of the central massive black hole. A random forest classifier, trained on a subsample of spectroscopically identified stars, performs similarly well as competitive methods (F1 = 0.85), without involving any model of stellar spectral energy distributions. Advantages of using such a machine-trained classifier are a minimum of required calibration effort, a predictive accuracy expected to improve as more training data become available, and the ease of application to future, larger data sets. By applying this classifier to archive data, we are also able to reproduce the results of previous studies of the spatial distribution and the K-band luminosity function of both the early- and late-type stars.

[Urogynaecological training situation in Germany : Gap between demand and reality].

PubMed

Kranz, J; Schneidewind, L; Barski, D; Tahbaz, R; Huppertz, N; Zerrenner, C; Grabbert, M; Mühlstädt, S; Queissert, F; Schott, S; Grundl, S; Boymanns, A; Steffens, J; Pelzer, A E

2016-08-01

With increasing life expectancy, progressive demographic change and decreasing societal stigmatization of incontinence urologists and gynaecologists are increasingly faced with urogynaecological challenges. To date however, urogynaecology is a poorly standardized area of expertise in both disciplines. Therefore, the urogynaecology training, especially in Germany, is very heterogeneous and requires evaluation as well as improvement. The GeSRU-Academics research group "Functional urology and LUTS" evaluated this subject nationwide among urological and gynecological trainees and their chief physicians by using a comprehensive questionnaire (34/38 multiple-choice items) between April 2015 and May 2016. 336 urological residents and 190 chief physicians as well as 171 gynaecological residents and 175 chief physicians participated in the survey. Of all trainees, 70.0 % stated a personal interest in urogynaecology, but 45.4 % (gynaecological residents) and 52.9 % (urological residents) mention not to receive a standardized training in their own department. The chief physicians' survey resulted in discrepancies concerning the same question, <10 % of all residents do not receive a standardized urogynaecological training from their point of view. However, standardized urogynaecological training is of importance for those chief physicians. There is a discrepancy between expectations and reality of urogynaecological education and training. To enable a well-structured and standardized urogynaecological education and training, it is compulsory to focus on an interdisciplinary cooperation and to promote multidisciplinary development. A broad-based, well-designed training network and curricula should be established and used consistently.

Using expectations to monitor robotic progress and recover from problems

NASA Astrophysics Data System (ADS)

Kurup, Unmesh; Lebiere, Christian; Stentz, Anthony; Hebert, Martial

2013-05-01

How does a robot know when something goes wrong? Our research answers this question by leveraging expectations - predictions about the immediate future - and using the mismatch between the expectations and the external world to monitor the robot's progress. We use the cognitive architecture ACT-R (Adaptive Control of Thought - Rational) to learn the associations between the current state of the robot and the world, the action to be performed in the world, and the future state of the world. These associations are used to generate expectations that are then matched by the architecture with the next state of the world. A significant mismatch between these expectations and the actual state of the world indicate a problem possibly resulting from unexpected consequences of the robot's actions, unforeseen changes in the environment or unanticipated actions of other agents. When a problem is detected, the recovery model can suggest a number of recovery options. If the situation is unknown, that is, the mismatch between expectations and the world is novel, the robot can use a recovery solution from a set of heuristic options. When a recovery option is successfully applied, the robot learns to associate that recovery option with the mismatch. When the same problem is encountered later, the robot can apply the learned recovery solution rather than using the heuristics or randomly exploring the space of recovery solutions. We present results from execution monitoring and recovery performed during an assessment conducted at the Combined Arms Collective Training Facility (CACTF) at Fort Indiantown Gap.

Great expectations: teaching ethics to medical students in South Africa.

PubMed

Behrens, Kevin Gary; Fellingham, Robyn

2014-12-01

Many academic philosophers and ethicists are appointed to teach ethics to medical students. We explore exactly what this task entails. In South Africa the Health Professions Council's curriculum for training medical practitioners requires not only that students be taught to apply ethical theory to issues and be made aware of the legal and regulatory requirements of their profession, it also expects moral formation and the inculcation of professional virtue in students. We explore whether such expectations are reasonable. We defend the claim that physicians ought to be persons of virtuous character, on the grounds of the social contract between society and the profession. We further argue that since the expectations of virtue of health care professionals are reasonable, it is also sound reasoning to expect ethics teachers to try to inculcate such virtues in their students, so far as this is possible. Furthermore, this requires of such teachers that they be suitable role models of ethical practice and virtue, themselves. We claim that this applies to ethics teachers who are themselves not members of the medical profession, too, even though they are not bound by the same social contract as doctors. We conclude that those who accept employment as teachers of ethics to medical students, where as part of their contractual obligation they are expected to inculcate moral values in their students, ought to be prepared to accept their responsibility to be professionally ethical, themselves. © 2013 John Wiley & Sons Ltd.

Interactive vs. Non-Interactive Ensembles for Weather Prediction and Climate Projection

NASA Astrophysics Data System (ADS)

Duane, Gregory

2013-04-01

If the members of an ensemble of different models are allowed to interact with one another in run time, predictive skill can be improved as compared to that of any individual model or any average of indvidual model outputs. Inter-model connections in such an interactive ensemble can be trained, using historical data, so that the resulting ``supermodel" synchronizes with reality when used in weather-prediction mode, where the individual models perform data assimilation from each other (with trainable inter-model "observation error") as well as from real observations. In climate-projection mode, parameters of the individual models are changed, as might occur from an increase in GHG levels, and one obtains relevant statistical properties of the new supermodel attractor. In simple cases, it has been shown that training of the inter-model connections with the old parameter values gives a supermodel that is still predictive when the parameter values are changed. Here we inquire as to the circumstances under which supermodel performance can be expected to exceed that of the customary weighted average of model outputs. We consider a supermodel formed from quasigeostrophic channel models with different forcing coefficients, and introduce an effective training scheme for the inter-model connections. We show that the blocked-zonal index cycle is reproduced better by the supermodel than by any non-interactive ensemble in the extreme case where the forcing coefficients of the different models are very large or very small. With realistic differences in forcing coefficients, as would be representative of actual differences among IPCC-class models, the usual linearity assumption is justified and a weighted average of model outputs is adequate. It is therefore hypothesized that supermodeling is likely to be useful in situations where there are qualitative model differences, as arising from sub-gridscale parameterizations, that affect overall model behavior. Otherwise the usual ex post facto averaging will probably suffice. Previous results from an ENSO-prediction supermodel [Kirtman et al.] are re-examined in light of the hypothesis about the importance of qualitative inter-model differences.

Virginia's College and Career Ready Mathematics Performance Expectations

ERIC Educational Resources Information Center

Virginia Department of Education, 2011

2011-01-01

The Mathematics Performance Expectations (MPE) define the content and level of achievement students must reach to be academically prepared for success in entry-level, credit-bearing mathematics courses in college or career training. They were developed through a process that involved faculty from Virginia's two- and four-year colleges and…

Literacy Lessons on Location

ERIC Educational Resources Information Center

Borba, Mary F.

2008-01-01

With the current pressures on teachers to increase academic achievement for all students, high-quality teacher training is more important than ever. Elementary teachers are faced with high expectations for their students to achieve literacy proficiency, and these expectations became law with the No Child Left Behind Act. With or without this…

Training Therapists about Client Expectations of Psychotherapy.

ERIC Educational Resources Information Center

Soley, Georgia; Marshall, Renee; Chambliss, Catherine

Research has indicated that premature termination of therapy is sometimes due to a conflict in goal and outcome expectations between therapists and family members of clients. The present study requested both therapists and parents of child clients to complete questionnaires to determine if there is congruence between therapist and parental…

Project Salud. Final Report.

ERIC Educational Resources Information Center

Reyes, Richard H.

A bilingual vocational training program was instituted to provide fifty-six Spanish- and Chinese-speaking students with a chance to acquire English language skills and training as medical clerks simultaneously. Community benefits expected and evident need in the area for bilingual medical-clerical employees led to the choice of this field. The…

Issues in VET Research: Current Crisis and Potential Possibilities.

ERIC Educational Resources Information Center

Kell, Peter

Australian education and training and vocational education and training (VET) research are in a state of crisis. Both the higher education and VET sectors are now squeezed and subject to contradictory objectives, multiple accountabilities, heightened expectations, and diminished resources in an environment of uncertainty and frustration. The…

Insulator: Apprenticeship Course Outline. Apprenticeship and Industry Training. 3307.1

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2007

2007-01-01

The graduate of the Insulator apprenticeship program is a certified journeyperson who will be able: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) demonstrate the installation, fitting, fabrication and attachment of insulation, finishing and weatherproofing materials to a high…

Special Education Teacher Preparation: A Synthesis of Four Research Studies.

ERIC Educational Resources Information Center

McLaughlin, Margaret J.; And Others

1988-01-01

Four studies on special education teacher training were conducted: two surveys of individual states' manpower needs, a survey of preservice special education majors, and interviews with special education faculty from five states. Results revealed conflicting perceptions of teaching competencies, mismatches between training and job expectations,…

Unmanned Systems Integrated Roadmap, FY2013-2038

DTIC Science & Technology

2014-01-01

29 4.1.7 Sensor Air Drop...Force MQ-1/9 Pilot & Sensor Operator Training Flow ...................................... 106 Figure 39. UAS Training Objectives...the Nation’s 10 years of war wind down, DoD inventories and funding of UGS are expected to decrease in 2014, followed by a gradual upward trend in 2016

The Counselor Aide: Helping Services for Native American Students.

ERIC Educational Resources Information Center

Hayes, Susanna

1979-01-01

Describes the role and services of the paraprofessional school counselor aide. Notes personal and professional characteristics expected of counselor aides, suggests recruitment and selection techniques, and indicates services aides can provide. Lists benefits of in-service training for counselor aides and notes training program being planned by…

Counseling Health Psychology: Assessing Health Psychology Training within Counseling Psychology Doctoral Programs

ERIC Educational Resources Information Center

Raque-Bogdan, Trisha L.; Torrey, Carrie L.; Lewis, Brian L.; Borges, Nicole J.

2013-01-01

Training directors of American Psychological Association-approved counseling psychology doctoral programs completed a questionnaire assessing (a) student and faculty involvement in health-related research, practice, and teaching; (b) health-related research conducted by students and faculty; and (c) programs' expectations and ability to…

Applications to New Brunswick Community Colleges.

ERIC Educational Resources Information Center

Brewer, Hope; Easterbrook-Nadeau, Pamela, Ed.

In 1989, a study was conducted of applicants to training programs offered at community colleges in New Brunswick to determine the characteristics of applicants, their reasons for applying, their expectations of the program, and influences on their enrollment decisions. Applications and available training seats were examined over the 3-year period…

Speech Training for Inmate Rehabilitation.

ERIC Educational Resources Information Center

Parkinson, Michael G.; Dobkins, David H.

1982-01-01

Using a computerized content analysis, the authors demonstrate changes in speech behaviors of prison inmates. They conclude that two to four hours of public speaking training can have only limited effect on students who live in a culture in which "prison speech" is the expected and rewarded form of behavior. (PD)

Expectancy-value theory in persistence of learning effects in schizophrenia: role of task value and perceived competency.

PubMed

Choi, Jimmy; Fiszdon, Joanna M; Medalia, Alice

2010-09-01

Expectancy-value theory, a widely accepted model of motivation, posits that expectations of success on a learning task and the individual value placed on the task are central determinants of motivation to learn. This is supported by research in healthy controls suggesting that beliefs of self-and-content mastery can be so influential they can predict the degree of improvement on challenging cognitive tasks even more so than general cognitive ability. We examined components of expectancy-value theory (perceived competency and task value), along with baseline arithmetic performance and neuropsychological performance, as possible predictors of learning outcome in a sample of 70 outpatients with schizophrenia randomized to 1 of 2 different arithmetic learning conditions and followed up after 3 months. Results indicated that as with nonpsychiatric samples, perceived self-competency for the learning task was significantly related to perceptions of task value attributed to the learning task. Baseline expectations of success predicted persistence of learning on the task at 3-month follow-up, even after accounting for variance attributable to different arithmetic instruction, baseline arithmetic ability, attention, and self-reports of task interest and task value. We also found that expectation of success is a malleable construct, with posttraining improvements persisting at follow-up. These findings support the notion that expectancy-value theory is operative in schizophrenia. Thus, similar to the nonpsychiatric population, treatment benefits may be enhanced and better maintained if remediation programs also focus on perceptions of self-competency for the training tasks. Treatment issues related to instilling self-efficacy in cognitive recovery programs are discussed.

Anticipatory eye movements and long-term memory in early infancy.

PubMed

Wong-Kee-You, Audrey M B; Adler, Scott A

2016-11-01

Advances in our understanding of long-term memory in early infancy have been made possible by studies that have used the Rovee-Collier's mobile conjugate reinforcement paradigm and its variants. One function that has been attributed to long-term memory is the formation of expectations (Rovee-Collier & Hayne, 1987); consequently, a long-term memory representation should be established during expectation formation. To examine this prediction and potentially open the door on a new paradigm for exploring infants' long-term memory, using the Visual Expectation Paradigm (Haith, Hazan, & Goodman, 1988), 3-month-old infants were trained to form an expectation for predictable color and spatial information of picture events and emit anticipatory eye movements to those events. One day later, infants' anticipatory eye movements decreased in number relative to the end of training when the predictable colors were changed but not when the spatial location of the predictable color events was changed. These findings confirm that information encoded during expectation formation are stored in long-term memory, as hypothesized by Rovee-Collier and colleagues. Further, this research suggests that eye movements are potentially viable measures of long-term memory in infancy, providing confirmatory evidence for early mnemonic processes. © 2016 Wiley Periodicals, Inc.

Positions in doctors' questions during psychiatric interviews.

PubMed

Ziółkowska, Justyna

2009-11-01

In this article I apply the concept of positioning to the analysis of 15 initial psychiatric interviews. I argue that through their questions the psychiatrists-in-training impose positions requiring the patients to gaze at themselves and their actual problems from particular perspectives. I point to three such positions: (a) the position of the observing assessor, from which it is expected that the patients will make a detached assessment of themselves or their problems, (b) the position of the informing witness, which requires the patients only to verify the information about themselves, and (c) the marginal one, the position of the experiencing narrator, from which talk about experiences and problems is expected. I explore the roots and consequences of the positions, with particular attention toward objectivization of the patients' experiences in the dominant witness and assessor positions. I conclude with a discussion about the medical model in psychiatry.

Effects of Video Game Training on Behavioral and Electrophysiological Measures of Attention and Memory: Protocol for a Randomized Controlled Trial

PubMed Central

Mayas, Julia; Ruiz-Marquez, Eloisa; Prieto, Antonio; Toril, Pilar; Ponce de Leon, Laura; de Ceballos, Maria L; Reales Avilés, José Manuel

2017-01-01

Background Neuroplasticity-based approaches seem to offer promising ways of maintaining cognitive health in older adults and postponing the onset of cognitive decline symptoms. Although previous research suggests that training can produce transfer effects, this study was designed to overcome some limitations of previous studies by incorporating an active control group and the assessment of training expectations. Objective The main objectives of this study are (1) to evaluate the effects of a randomized computer-based intervention consisting of training older adults with nonaction video games on brain and cognitive functions that decline with age, including attention and spatial working memory, using behavioral measures and electrophysiological recordings (event-related potentials [ERPs]) just after training and after a 6-month no-contact period; (2) to explore whether motivation, engagement, or expectations might account for possible training-related improvements; and (3) to examine whether inflammatory mechanisms assessed with noninvasive measurement of C-reactive protein in saliva impair cognitive training-induced effects. A better understanding of these mechanisms could elucidate pathways that could be targeted in the future by either behavioral or neuropsychological interventions. Methods A single-blinded randomized controlled trial with an experimental group and an active control group, pretest, posttest, and 6-month follow-up repeated measures design is used in this study. A total of 75 cognitively healthy older adults were randomly distributed into experimental and active control groups. Participants in the experimental group received 16 1-hour training sessions with cognitive nonaction video games selected from Lumosity, a commercial brain training package. The active control group received the same number of training sessions with The Sims and SimCity, a simulation strategy game. Results We have recruited participants, have conducted the training protocol and pretest assessments, and are currently conducting posttest evaluations. The study will conclude in the first semester of 2017. Data analysis will take place during 2017. The primary outcome is transfer of benefit from training to attention and working memory functions and the neural mechanisms underlying possible cognitive improvements. Conclusions We expect that mental stimulation with video games will improve attention and memory both at the behavioral level and in ERP components promoting brain and mental health and extending independence among elderly people by avoiding the negative personal and economic consequences of long-term care. Trial Registration Clinicaltrials.gov NCT02796508; https://clinicaltrials.gov/ct2/show/NCT02796508 (archived by WebCite at http://www.webcitation.org/6nFeKeFNB) PMID:28119279

[Survey of student pharmacists' attitudes toward new procedures expected for future pharmacists].

PubMed

Tokunaga, Jin; Takamura, Norito; Ogata, Kenji; Yoshida, Hiroki; Setoguchi, Nao; Sato, Keizo

2010-06-01

Bedsides conventional bedside training the Department of Pharmacy of Kyushu University of Health and Welfare covers advanced practices focused on new procedures expected for future pharmacists. A questionnaire survey was conducted among the 4th year students of the 6-year curriculum of the department in order to retrospectively evaluate their attitudes toward basic life support, and the necessity and feasibility of items related to the training. Sixty-nine percent of the students responded that they would provide appropriate treatment under a situation where basic life support was needed. The item regarded as most necessary and feasible before training was "treatment for basic life support--cardiopulmonary resuscitation." After training, however, "checking vital signs," "physical assessment," and "pharmacist's assistance in medication" were the items rated as equal to or higher than "treatment for basic life support--cardiopulmonary resuscitation." The lowest ranked item in terms of necessity and feasibility both before and after training was "intramuscular/subcutaneous injection," followed by "intravenous injection" and "normal intravenous collection of blood" in that order. The results of this attitude survey demonstrated that many students were willing to perform such operations as part of checking vital signs and physical assessment.

Flexible timing by temporal scaling of cortical responses

PubMed Central

Wang, Jing; Narain, Devika; Hosseini, Eghbal A.; Jazayeri, Mehrdad

2017-01-01

Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural basis of such flexibility, we recorded from the medial frontal cortex of nonhuman primates trained to produce different time intervals with different effectors. Neural responses were heterogeneous, nonlinear and complex, and exhibited a remarkable form of temporal invariance: firing rate profiles were temporally scaled to match the produced intervals. Recording from downstream neurons in the caudate and thalamic neurons projecting to the medial frontal cortex indicated that this phenomenon originates within cortical networks. Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and degree of scaling is controlled by the strength of external input. These findings demonstrate a simple and general mechanism for conferring temporal flexibility upon sensorimotor and cognitive functions. PMID:29203897

Geothermal Potential of the Cascade and Aleutian Arcs, with Ranking of Individual Volcanic Centers for their Potential to Host Electricity-Grade Reservoirs

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

Shevenell, Lisa; Coolbaugh, Mark; Hinz, Nick

This project brings a global perspective to volcanic arc geothermal play fairway analysis by developing statistics for the occurrence of geothermal reservoirs and their geoscience context worldwide in order to rank U.S. prospects. The focus of the work was to develop play fairways for the Cascade and Aleutian arcs to rank the individual volcanic centers in these arcs by their potential to host electricity grade geothermal systems. The Fairway models were developed by describing key geologic factors expected to be indicative of productive geothermal systems in a global training set, which includes 74 volcanic centers world-wide with current power production.more » To our knowledge, this is the most robust geothermal benchmark training set for magmatic systems to date that will be made public.« less

Alcohol brief interventions practice following training for multidisciplinary health and social care teams: a qualitative interview study.

PubMed

Fitzgerald, Niamh; Molloy, Heather; MacDonald, Fiona; McCambridge, Jim

2015-03-01

Few studies of the implementation of alcohol brief interventions (ABI) have been conducted in community settings such as mental health, social work and criminal justice teams. This qualitative interview study sought to explore the impact of training on ABI delivery by staff from a variety of such teams. Fifteen semi-structured telephone interviews were carried out with trained practitioners and with managers to explore the use of, perceived need for and approaches to ABI delivery and recording with clients, and compatibility of ABIs with current practice. Interviews were analysed thematically using an inductive approach. Very few practitioners reported delivery of any ABIs following training primarily because they felt ABIs to be inappropriate for their clients. According to practitioners, this was either because they drank too much or too little to benefit. Practitioners reported a range of current activities relating to alcohol, and some felt that their knowledge and confidence were improved following training. One practitioner reported ABI delivery and was considered a training success, while expectations of ABIs did not fit with current practice including assessment procedures for the remainder. Identified barriers to ABI delivery included issues relating to individual practitioners, their teams, current practice and the ABI model. They are likely to be best addressed by strategic team- and setting-specific approaches to implementation, of which training is only one part. © 2014 The Authors. Drug and Alcohol Review published by Wiley Publishing Asia Pty Ltd on behalf of Australasian Professional Society on Alcohol and other Drugs.

Prototyping and validating requirements of radiation and nuclear emergency plan simulator

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

Hamid, AHA., E-mail: amyhamijah@nm.gov.my; Faculty of Computing, Universiti Teknologi Malaysia; Rozan, MZA.

2015-04-29

Organizational incapability in developing unrealistic, impractical, inadequate and ambiguous mechanisms of radiological and nuclear emergency preparedness and response plan (EPR) causing emergency plan disorder and severe disasters. These situations resulting from 65.6% of poor definition and unidentified roles and duties of the disaster coordinator. Those unexpected conditions brought huge aftermath to the first responders, operators, workers, patients and community at large. Hence, in this report, we discuss prototyping and validating of Malaysia radiation and nuclear emergency preparedness and response plan simulation model (EPRM). A prototyping technique was required to formalize the simulation model requirements. Prototyping as systems requirements validation wasmore » carried on to endorse the correctness of the model itself against the stakeholder’s intensions in resolving those organizational incapability. We have made assumptions for the proposed emergency preparedness and response model (EPRM) through the simulation software. Those assumptions provided a twofold of expected mechanisms, planning and handling of the respective emergency plan as well as in bringing off the hazard involved. This model called RANEPF (Radiation and Nuclear Emergency Planning Framework) simulator demonstrated the training emergency response perquisites rather than the intervention principles alone. The demonstrations involved the determination of the casualties’ absorbed dose range screening and the coordination of the capacity planning of the expected trauma triage. Through user-centred design and sociotechnical approach, RANEPF simulator was strategized and simplified, though certainly it is equally complex.« less

Prototyping and validating requirements of radiation and nuclear emergency plan simulator

NASA Astrophysics Data System (ADS)

Hamid, AHA.; Rozan, MZA.; Ibrahim, R.; Deris, S.; Selamat, A.

2015-04-01

Organizational incapability in developing unrealistic, impractical, inadequate and ambiguous mechanisms of radiological and nuclear emergency preparedness and response plan (EPR) causing emergency plan disorder and severe disasters. These situations resulting from 65.6% of poor definition and unidentified roles and duties of the disaster coordinator. Those unexpected conditions brought huge aftermath to the first responders, operators, workers, patients and community at large. Hence, in this report, we discuss prototyping and validating of Malaysia radiation and nuclear emergency preparedness and response plan simulation model (EPRM). A prototyping technique was required to formalize the simulation model requirements. Prototyping as systems requirements validation was carried on to endorse the correctness of the model itself against the stakeholder's intensions in resolving those organizational incapability. We have made assumptions for the proposed emergency preparedness and response model (EPRM) through the simulation software. Those assumptions provided a twofold of expected mechanisms, planning and handling of the respective emergency plan as well as in bringing off the hazard involved. This model called RANEPF (Radiation and Nuclear Emergency Planning Framework) simulator demonstrated the training emergency response perquisites rather than the intervention principles alone. The demonstrations involved the determination of the casualties' absorbed dose range screening and the coordination of the capacity planning of the expected trauma triage. Through user-centred design and sociotechnical approach, RANEPF simulator was strategized and simplified, though certainly it is equally complex.

Managing Expectations of Antibiotics for Upper Respiratory Tract Infections: A Qualitative Study

PubMed Central

Mustafa, Mohammed; Wood, Fiona; Butler, Christopher C.; Elwyn, Glyn

2014-01-01

PURPOSE Communication experts have suggested that it is good practice to ask patients’ directly whether they expect to receive antibiotics as part of asking about the triad of ideas, concerns, and expectations for health care. Our aim was to explore the views and experiences of family physicians about using this strategy with their patients, focusing the interview on the problem of eliciting expectations of antibiotics as a possible treatment for upper respiratory tract infections. METHODS We conducted a qualitative study using semistructured interviews with 20 family physicians in South Wales, United Kingdom, and performing thematic analysis. RESULTS Family physicians assumed most patients or parents wanted antibiotics, as well as wanting to be “checked out” to make sure the illness was “nothing serious.” Physicians said they did not ask direct questions about expectations, as that might lead to confrontation. They preferred to elicit expectations for antibiotics in an indirect manner, before performing a physical examination. The majority described reporting their findings of the examination as a “running commentary” so as to influence expectations and help avoid generating resistance to a soon-to-be-made-explicit plan not to prescribe antibiotics. The physicians used the running commentary to preserve and enhance the physician-patient relationship. CONCLUSIONS Real-world family physicians use indirect methods to explore expectations for treatment and, on the basis of their physical examination, build an argument for reassuring the patient or parent. In contrast to proposed models in the communication literature, interventions to promote appropriate antibiotic prescribing might include a focus on training in communication skills that (1) integrates these indirect methods as part of building collaborative physician-patient relationships and (2) uses the running commentary of examination findings to facilitate participation in clinical decisions. PMID:24445101

Managing expectations of antibiotics for upper respiratory tract infections: a qualitative study.

PubMed

Mustafa, Mohammed; Wood, Fiona; Butler, Christopher C; Elwyn, Glyn

2014-01-01

Communication experts have suggested that it is good practice to ask patients' directly whether they expect to receive antibiotics as part of asking about the triad of ideas, concerns, and expectations for health care. Our aim was to explore the views and experiences of family physicians about using this strategy with their patients, focusing the interview on the problem of eliciting expectations of antibiotics as a possible treatment for upper respiratory tract infections. We conducted a qualitative study using semistructured interviews with 20 family physicians in South Wales, United Kingdom, and performing thematic analysis. Family physicians assumed most patients or parents wanted antibiotics, as well as wanting to be "checked out" to make sure the illness was "nothing serious." Physicians said they did not ask direct questions about expectations, as that might lead to confrontation. They preferred to elicit expectations for antibiotics in an indirect manner, before performing a physical examination. The majority described reporting their findings of the examination as a "running commentary" so as to influence expectations and help avoid generating resistance to a soon-to-be-made-explicit plan not to prescribe antibiotics. The physicians used the running commentary to preserve and enhance the physician-patient relationship. Real-world family physicians use indirect methods to explore expectations for treatment and, on the basis of their physical examination, build an argument for reassuring the patient or parent. In contrast to proposed models in the communication literature, interventions to promote appropriate antibiotic prescribing might include a focus on training in communication skills that (1) integrates these indirect methods as part of building collaborative physician-patient relationships and (2) uses the running commentary of examination findings to facilitate participation in clinical decisions.

Accountability and pediatric physician-researchers: are theoretical models compatible with Canadian lived experience?

PubMed

Czoli, Christine; Da Silva, Michael; Shaul, Randi Zlotnik; d'Agincourt-Canning, Lori; Simpson, Christy; Boydell, Katherine; Rashkovan, Natalie; Vanin, Sharon

2011-10-05

Physician-researchers are bound by professional obligations stemming from both the role of the physician and the role of the researcher. Currently, the dominant models for understanding the relationship between physician-researchers' clinical duties and research duties fit into three categories: the similarity position, the difference position and the middle ground. The law may be said to offer a fourth "model" that is independent from these three categories.These models frame the expectations placed upon physician-researchers by colleagues, regulators, patients and research participants. This paper examines the extent to which the data from semi-structured interviews with 30 physician-researchers at three major pediatric hospitals in Canada reflect these traditional models. It seeks to determine the extent to which existing models align with the described lived experience of the pediatric physician-researchers interviewed.Ultimately, we find that although some physician-researchers make references to something like the weak version of the similarity position, the pediatric-researchers interviewed in this study did not describe their dual roles in a way that tightly mirrors any of the existing theoretical frameworks. We thus conclude that either physician-researchers are in need of better training regarding the nature of the accountability relationships that flow from their dual roles or that models setting out these roles and relationships must be altered to better reflect what we can reasonably expect of physician-researchers in a real-world environment. © 2011 Czoli et al; licensee BioMed Central Ltd.

Separate Populations of Neurons in Ventral Striatum Encode Value and Motivation

PubMed Central

Gentry, Ronny N.; Goldstein, Brandon L.; Hearn, Taylor N.; Barnett, Brian R.; Kashtelyan, Vadim; Roesch, Matthew R.

2013-01-01

Neurons in the ventral striatum (VS) fire to cues that predict differently valued rewards. It is unclear whether this activity represents the value associated with the expected reward or the level of motivation induced by reward anticipation. To distinguish between the two, we trained rats on a task in which we varied value independently from motivation by manipulating the size of the reward expected on correct trials and the threat of punishment expected upon errors. We found that separate populations of neurons in VS encode expected value and motivation. PMID:23724077

Alcohol brief interventions practice following training for multidisciplinary health and social care teams: A qualitative interview study

PubMed Central

Fitzgerald, Niamh; Molloy, Heather; MacDonald, Fiona; McCambridge, Jim

2015-01-01

Introduction and Aims Few studies of the implementation of alcohol brief interventions (ABI) have been conducted in community settings such as mental health, social work and criminal justice teams. This qualitative interview study sought to explore the impact of training on ABI delivery by staff from a variety of such teams. Design and Methods Fifteen semi-structured telephone interviews were carried out with trained practitioners and with managers to explore the use of, perceived need for and approaches to ABI delivery and recording with clients, and compatibility of ABIs with current practice. Interviews were analysed thematically using an inductive approach. Results Very few practitioners reported delivery of any ABIs following training primarily because they felt ABIs to be inappropriate for their clients. According to practitioners, this was either because they drank too much or too little to benefit. Practitioners reported a range of current activities relating to alcohol, and some felt that their knowledge and confidence were improved following training. One practitioner reported ABI delivery and was considered a training success, while expectations of ABIs did not fit with current practice including assessment procedures for the remainder. Discussion and Conclusions Identified barriers to ABI delivery included issues relating to individual practitioners, their teams, current practice and the ABI model. They are likely to be best addressed by strategic team- and setting-specific approaches to implementation, of which training is only one part. [Fitzgerald N, Molloy H, MacDonald F, McCambridge J. Alcohol brief interventions practice following training for multidisciplinary health and social care teams: A qualitative interview study. Drug Alcohol Rev 2015;34:185–93] PMID:25196713

A Descriptive Study of Military Nurse Practitioners’ Practice Settings and Clinical Practice Activities

DTIC Science & Technology

1996-05-01

experience and/or education, patient appreciation, administrative support and trained co-workers. Prescott (1994) states that there is "substantial evidence...role changing by stating that roles involve more than training a person to follow expectations, that the person takes on an active mode of...he sample had 110 respondents. A significant limitation to the study however, is that the responding NPs received training through continuing

First principles for financial modeling in medicine.

PubMed

Lexa, Frank James; Berlin, Jonathan W

2005-03-01

This article provides an overview of some of the core issues in business for physicians and is intended as an introduction. No prior understanding of business processes, finance, or accounting will be assumed or expected. The impetus for this work is the changing nature of medical practice in the United States in the past 20 years. Organizational changes and financial pressures challenge those of us in medicine as never before. For the vast majority of physicians, these realms are outside the scope of our traditional training and expertise. This article will provide an introduction to understanding these issues, starting with misconceptions about the overlap between medicine and finance. We will then introduce core concepts of cash vs. revenue, risk and uncertainty, and basic financial modeling.

Cultural consultation as a model for training multidisciplinary mental healthcare professionals in cultural competence skills: preliminary results.

PubMed

Owiti, J A; Ajaz, A; Ascoli, M; de Jongh, B; Palinski, A; Bhui, K S

2014-01-01

Lack of cultural competence in care contributes to poor experiences and outcomes from care for migrants and racial and ethnic minorities. As a result, health and social care organizations currently promote cultural competence of their workforce as a means of addressing persistent poor experiences and outcomes. At present, there are unsystematic and diverse ways of promoting cultural competence, and their impact on clinician skills and patient outcomes is unknown. We developed and implemented an innovative model, cultural consultation service (CCS), to promote cultural competence of clinicians and directly improve on patient experiences and outcomes from care. CCS model is an adaptation of the McGill model, which uses ethnographic methodology and medical anthropological knowledge. The method and approach not only contributes both to a broader conceptual and dynamic understanding of culture, but also to learning of cultural competence skills by healthcare professionals. The CCS model demonstrates that multidisciplinary workforce can acquire cultural competence skills better through the clinical encounter, as this promotes integration of learning into day-to-day practice. Results indicate that clinicians developed a broader and patient-centred understanding of culture, and gained skills in narrative-based assessment method, management of complexity of care, competing assumptions and expectations, and clinical cultural formulation. Cultural competence is defined as a set of skills, attitudes and practices that enable the healthcare professionals to deliver high-quality interventions to patients from diverse cultural backgrounds. Improving on the cultural competence skills of the workforce has been promoted as a way of reducing ethnic and racial inequalities in service outcomes. Currently, diverse models for training in cultural competence exist, mostly with no evidence of effect. We established an innovative narrative-based cultural consultation service in an inner-city area to work with community mental health services to improve on patients' outcomes and clinicians' cultural competence skills. We targeted 94 clinicians in four mental health service teams in the community. After initial training sessions, we used a cultural consultation model to facilitate 'in vivo' learning. During cultural consultation, we used an ethnographic interview method to assess patients in the presence of referring clinicians. Clinicians' self-reported measure of cultural competence using the Tool for Assessing Cultural Competence Training (n = 28, at follow-up) and evaluation forms (n = 16) filled at the end of each cultural consultation showed improvement in cultural competence skills. We conclude that cultural consultation model is an innovative way of training clinicians in cultural competence skills through a dynamic interactive process of learning within real clinical encounters. © 2013 John Wiley & Sons Ltd.

Jazz musicians reveal role of expectancy in human creativity.

PubMed

Przysinda, Emily; Zeng, Tima; Maves, Kellyn; Arkin, Cameron; Loui, Psyche

2017-12-01

Creativity has been defined as the ability to produce work that is novel, high in quality, and appropriate to an audience. While the nature of the creative process is under debate, many believe that creativity relies on real-time combinations of known neural and cognitive processes. One useful model of creativity comes from musical improvisation, such as in jazz, in which musicians spontaneously create novel sound sequences. Here we use jazz musicians to test the hypothesis that individuals with training in musical improvisation, which entails creative generation of musical ideas, might process expectancy differently. We compare jazz improvisers, non-improvising musicians, and non-musicians in the domain-general task of divergent thinking, as well as the musical task of preference ratings for chord progressions that vary in expectation while EEGs were recorded. Behavioral results showed for the first time that jazz musicians preferred unexpected chord progressions. ERP results showed that unexpected stimuli elicited larger early and mid-latency ERP responses (ERAN and P3b), followed by smaller long-latency responses (Late Positivity Potential) in jazz musicians. The amplitudes of these ERP components were significantly correlated with behavioral measures of fluency and originality on the divergent thinking task. Together, results highlight the role of expectancy in creativity. Copyright © 2017 Elsevier Inc. All rights reserved.

Measuring cognitive load during procedural skills training with colonoscopy as an exemplar.

PubMed

Sewell, Justin L; Boscardin, Christy K; Young, John Q; Ten Cate, Olle; O'Sullivan, Patricia S

2016-06-01

Few studies have investigated cognitive factors affecting learning of procedural skills in medical education. Cognitive load theory, which focuses on working memory, is highly relevant, but methods for measuring cognitive load during procedural training are not well understood. Using colonoscopy as an exemplar, we used cognitive load theory to develop a self-report instrument to measure three types of cognitive load (intrinsic, extraneous and germane load) and to provide evidence for instrument validity. We developed the instrument (the Cognitive Load Inventory for Colonoscopy [CLIC]) using a multi-step process. It included 19 items measuring three types of cognitive load, three global rating items and demographics. We then conducted a cross-sectional survey that was administered electronically to 1061 gastroenterology trainees in the USA. Participants completed the CLIC following a colonoscopy. The two study phases (exploratory and confirmatory) each lasted for 10 weeks during the 2014-2015 academic year. Exploratory factor analysis determined the most parsimonious factor structure; confirmatory factor analysis assessed model fit. Composite measures of intrinsic, extraneous and germane load were compared across years of training and with global rating items. A total of 477 (45.0%) invitees participated (116 in the exploratory study and 361 in the confirmatory study) in 154 (95.1%) training programmes. Demographics were similar to national data from the USA. The most parsimonious factor structure included three factors reflecting the three types of cognitive load. Confirmatory factor analysis verified that a three-factor model was the best fit. Intrinsic, extraneous and germane load items had high internal consistency (Cronbach's alpha 0.90, 0.87 and 0.96, respectively) and correlated as expected with year in training and global assessment of cognitive load. The CLIC measures three types of cognitive load during colonoscopy training. Evidence of validity is provided. Although CLIC items relate to colonoscopy, the development process we detail can be used to adapt the instrument for use in other learning settings in medical education. © 2016 John Wiley & Sons Ltd.

Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data

NASA Astrophysics Data System (ADS)

Anirudh, Rushil; Thiagarajan, Jayaraman J.; Bremer, Timo; Kim, Hyojin

2016-03-01

Early detection of lung nodules is currently the one of the most effective ways to predict and treat lung cancer. As a result, the past decade has seen a lot of focus on computer aided diagnosis (CAD) of lung nodules, whose goal is to efficiently detect, segment lung nodules and classify them as being benign or malignant. Effective detection of such nodules remains a challenge due to their arbitrariness in shape, size and texture. In this paper, we propose to employ 3D convolutional neural networks (CNN) to learn highly discriminative features for nodule detection in lieu of hand-engineered ones such as geometric shape or texture. While 3D CNNs are promising tools to model the spatio-temporal statistics of data, they are limited by their need for detailed 3D labels, which can be prohibitively expensive when compared obtaining 2D labels. Existing CAD methods rely on obtaining detailed labels for lung nodules, to train models, which is also unrealistic and time consuming. To alleviate this challenge, we propose a solution wherein the expert needs to provide only a point label, i.e., the central pixel of of the nodule, and its largest expected size. We use unsupervised segmentation to grow out a 3D region, which is used to train the CNN. Using experiments on the SPIE-LUNGx dataset, we show that the network trained using these weak labels can produce reasonably low false positive rates with a high sensitivity, even in the absence of accurate 3D labels.

The distribution of the intervals between neural impulses in the maintained discharges of retinal ganglion cells.

PubMed

Levine, M W

1991-01-01

Simulated neural impulse trains were generated by a digital realization of the integrate-and-fire model. The variability in these impulse trains had as its origin a random noise of specified distribution. Three different distributions were used: the normal (Gaussian) distribution (no skew, normokurtic), a first-order gamma distribution (positive skew, leptokurtic), and a uniform distribution (no skew, platykurtic). Despite these differences in the distribution of the variability, the distributions of the intervals between impulses were nearly indistinguishable. These inter-impulse distributions were better fit with a hyperbolic gamma distribution than a hyperbolic normal distribution, although one might expect a better approximation for normally distributed inverse intervals. Consideration of why the inter-impulse distribution is independent of the distribution of the causative noise suggests two putative interval distributions that do not depend on the assumed noise distribution: the log normal distribution, which is predicated on the assumption that long intervals occur with the joint probability of small input values, and the random walk equation, which is the diffusion equation applied to a random walk model of the impulse generating process. Either of these equations provides a more satisfactory fit to the simulated impulse trains than the hyperbolic normal or hyperbolic gamma distributions. These equations also provide better fits to impulse trains derived from the maintained discharges of ganglion cells in the retinae of cats or goldfish. It is noted that both equations are free from the constraint that the coefficient of variation (CV) have a maximum of unity.(ABSTRACT TRUNCATED AT 250 WORDS)

Sentiment analysis of Chinese microblogging based on sentiment ontology: a case study of `7.23 Wenzhou Train Collision'

NASA Astrophysics Data System (ADS)

Shi, Wei; Wang, Hongwei; He, Shaoyi

2013-12-01

Sentiment analysis of microblogging texts can facilitate both organisations' public opinion monitoring and governments' response strategies development. Nevertheless, most of the existing analysis methods are conducted on Twitter, lacking of sentiment analysis of Chinese microblogging (Weibo), and they generally rely on a large number of manually annotated training or machine learning to perform sentiment classification, yielding with difficulties in application. This paper addresses these problems and employs a sentiment ontology model to examine sentiment analysis of Chinese microblogging. We conduct a sentiment analysis of all public microblogging posts about '7.23 Wenzhou Train Collision' broadcasted by Sina microblogging users between 23 July and 1 August 2011. For every day in this time period, we first extract eight dimensions of sentiment (expect, joy, love, surprise, anxiety, sorrow, angry, and hate), and then build fuzzy sentiment ontology based on HowNet and semantic similarity for sentiment analysis; we also establish computing methods of influence and sentiment of microblogging texts; and we finally explore the change of public sentiment after '7.23 Wenzhou Train Collision'. The results show that the established sentiment analysis method has excellent application, and the change of different emotional values can reflect the success or failure of guiding the public opinion by the government.

INFERENCE OF HEATING PROPERTIES FROM “HOT” NON-FLARING PLASMAS IN ACTIVE REGION CORES. II. NANOFLARE TRAINS

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

Barnes, W. T.; Bradshaw, S. J.; Cargill, P. J., E-mail: will.t.barnes@rice.edu, E-mail: stephen.bradshaw@rice.edu, E-mail: p.cargill@imperial.ac.uk

2016-12-20

Despite its prediction over two decades ago, the detection of faint, high-temperature (“hot”) emission due to nanoflare heating in non-flaring active region cores has proved challenging. Using an efficient two-fluid hydrodynamic model, this paper investigates the properties of the emission expected from repeating nanoflares (a nanoflare train) of varying frequency as well as the separate heating of electrons and ions. If the emission measure distribution (EM(T)) peaks at T = T{sub m} , we find that EM(T{sub m}) is independent of details of the nanoflare train, and EM(T) above and below T{sub m} reflects different aspects of the heating. Belowmore » T{sub m} , the main influence is the relationship of the waiting time between successive nanoflares to the nanoflare energy. Above T{sub m}, power-law nanoflare distributions lead to an extensive plasma population not present in a mono-energetic train. Furthermore, in some cases, characteristic features are present in EM(T). Such details may be detectable given adequate spectral resolution and a good knowledge of the relevant atomic physics. In the absence of such resolution we propose some metrics that can be used to infer the presence of “hot” plasma.« less

Revisiting the generalized scaling law for adhesion: role of compliance and extension to progressive failure.

PubMed

Mojdehi, Ahmad R; Holmes, Douglas P; Dillard, David A

2017-10-25

A generalized scaling law, based on the classical fracture mechanics approach, is developed to predict the bond strength of adhesive systems. The proposed scaling relationship depends on the rate of change of debond area with compliance, rather than the ratio of area to compliance. This distinction can have a profound impact on the expected bond strength of systems, particularly when the failure mechanism changes or the compliance of the load train increases. Based on the classical fracture mechanics approach for rate-independent materials, the load train compliance should not affect the force capacity of the adhesive system, whereas when the area to compliance ratio is used as the scaling parameter, it directly influences the bond strength, making it necessary to distinguish compliance contributions. To verify the scaling relationship, single lap shear tests were performed for a given pressure sensitive adhesive (PSA) tape specimens with different bond areas, number of backing layers, and load train compliance. The shear lag model was used to derive closed-form relationships for the system compliance and its derivative with respect to the debond area. Digital image correlation (DIC) is implemented to verify the non-uniform shear stress distribution obtained from the shear lag model in a lap shear geometry. The results obtained from this approach could lead to a better understanding of the relationship between bond strength and the geometry and mechanical properties of adhesive systems.

Multimodal Speaker Diarization.

PubMed

Noulas, A; Englebienne, G; Krose, B J A

2012-01-01

We present a novel probabilistic framework that fuses information coming from the audio and video modality to perform speaker diarization. The proposed framework is a Dynamic Bayesian Network (DBN) that is an extension of a factorial Hidden Markov Model (fHMM) and models the people appearing in an audiovisual recording as multimodal entities that generate observations in the audio stream, the video stream, and the joint audiovisual space. The framework is very robust to different contexts, makes no assumptions about the location of the recording equipment, and does not require labeled training data as it acquires the model parameters using the Expectation Maximization (EM) algorithm. We apply the proposed model to two meeting videos and a news broadcast video, all of which come from publicly available data sets. The results acquired in speaker diarization are in favor of the proposed multimodal framework, which outperforms the single modality analysis results and improves over the state-of-the-art audio-based speaker diarization.

Physical processes in wheel-rail contact and its implications on vehicle-track interaction

NASA Astrophysics Data System (ADS)

Six, K.; Meierhofer, A.; Müller, G.; Dietmaier, P.

2015-05-01

Friction within the wheel-rail contact highly influences all aspects of vehicle-track interaction. Models describing this frictional behaviour are of high relevance, for example, for reliable predictions on drive train dynamics. It has been shown by experiments, that the friction at a certain position on rail is not describable by only one number for the coefficient of friction. Beside the contact conditions (existence of liquids, solid third bodies, etc.) the vehicle speed, normal loading and contact geometry are further influencing factors. State-of-the-art models are not able to account for this sufficiently. Thus, an Extended-Creep-Force-Model was developed taking into account effects from third body layers. This model is able to describe all considered effects. In this way, a significant improvement of the prediction quality with respect to all aspects of vehicle-track interaction is expected.

Teacher Perceptions and Expectations of School Counselor Contributions: Implications for Program Planning and Training

ERIC Educational Resources Information Center

Clark, Mary Ann; Amatea, Ellen

2004-01-01

The researchers examined the perceptions of 23 teachers in elementary, middle, and high schools regarding necessary counseling and guidance services, how these services might best be delivered, and teachers' expectations about school counselor contributions and working relationships. The researchers also examined the resulting reflections of the…

Expectation-Based Efficiency and Quality Improvements in Research Administration: Multi-Institutional Case Studies

ERIC Educational Resources Information Center

Saha, Dhanonjoy C.; Ahmed, Abrar; Hanumandla, Shailaja

2011-01-01

Conventional wisdom may support the presumed notion that higher expectations increase efficiency and improve quality. However, this claim may only be validated when workers are equipped with appropriate tools, training, and a conducive work environment. This study implements various interventions, observes outcomes, and analyzes data collected in…

Anticipatory Socialisation: The Effect of Recruitment and Selection Experiences on Career Expectations.

ERIC Educational Resources Information Center

Scholarios, Dora; Lockyer, Cliff; Johnson, Heather

2003-01-01

A study of 291 students at varying stages of training for law (45%), accounting (40%), or human resource management (15%) found that those in traditional professions had greater exposure to employers, more engagement in recruiting, and more experience of selection processes. This greater activity was associated with career expectations and…

A Novel Approach for Quality Education towards Industry Expectations

ERIC Educational Resources Information Center

Santhiyakumari, N.; Babu, C.; Gomathi, C.; Rajesh, K.; Shenbagapriya, M.

2014-01-01

This paper presents a new method to improve the quality in technical education in order to meet the industry expectations. The quality of education and training being imparted in the technical education institutions varies from excellent to poor, with some institutions comparing favourably with the best in the world. Few others are suffering from…

Employment and Employability: Expectations of Higher Education Responsiveness in South Africa

ERIC Educational Resources Information Center

Kruss, Glenda

2004-01-01

This paper explores the expectations of higher education responsiveness of key employer, education, and training constituencies in South Africa. Empirical data was gathered through a series of focus group and individual interviews, and analysed in terms of distinctions in the ideal relationship between education and the workplace. The paper…

Young Infants' Expectations about Hidden Objects

ERIC Educational Resources Information Center

Ruffman, Ted; Slade, Lance; Redman, Jessica

2005-01-01

Infants aged 3-5 months (mean of approximately 4 months) were given a novel anticipatory looking task to test object permanence understanding. They were trained to expect an experimenter to retrieve an object from behind a transparent screen upon hearing a cue (''Doors up, here comes the hand''). The experimenter then hid the object behind one of…

Student Self-Assessment of Mathematical Skills: A Pilot Study of Accounting Student

ERIC Educational Resources Information Center

Warwick, Jon; Howard, Anna

2015-01-01

When new students arrive at university to commence their undergraduate training they bring with them a host of prior experiences, expectations and beliefs. For students whose course of study includes mathematics these experiences, expectations and beliefs can be very strongly held and somewhat negative towards mathematics. In such cases they can…

Spatial Perception and Expectation: Factors in Acoustical Awareness for Mout Training

DTIC Science & Technology

2004-12-01

this that can lead to a less costly, more effective soundscape ? This paper addresses the topic of expectation in audio, and how people’s experiences...Engineering Society, 51(9), 826-840. Turner, P., et al., 2003: Evaluating Soundscapes as a Means of Creating a Sense of Place, Proceedings of the 2004

Business Simulation Games: Current Usage Levels--An Update.

ERIC Educational Resources Information Center

Faria, A. J.

1998-01-01

Updates a 1987 survey of business-school deans, business faculty, and training-and-development managers in industry that examined the extent to which simulation games were used in academia and business training programs. Findings show that simulation-game usage has grown over the past ten years with expectations for further growth. Contains 29…

Strength in Diversity: How Well-Managed Cultural Training Programs Can Turn Conflict into Profits.

ERIC Educational Resources Information Center

De Leon, Darcy

1995-01-01

The number of Hispanics entering the workforce between 1992 and 2005 will increase by 64 percent. Cultural diversity training can help companies produce and market products more effectively. It can reduce misperceptions due to differences in coworkers' communication styles and match services to consumer expectations. The possibility of…

Contemporary Music Student Expectations of Musicianship Training Needs

ERIC Educational Resources Information Center

Hannan, Michael

2006-01-01

The practical training of contemporary popular musicians, that is, the preparation of performers, songwriters, and music production personnel for the global popular music industry, is still in its infancy. This article seeks to discuss the specific issue of what musicianship skills should be taught, by interrogating the perceptions of a cohort of…

Weighing the Cost of Educational Inflation in Undergraduate Medical Education

ERIC Educational Resources Information Center

Cusano, Ronald; Busche, Kevin; Coderre, Sylvain; Woloschuk, Wayne; Chadbolt, Karen; McLaughlin, Kevin

2017-01-01

Despite the fact that the length of medical school training has remained stable for many years, the expectations of graduating medical students (and the schools that train them) continue to increase. In this "Reflection", the authors discuss motives for educational inflation and suggest that these are likely innocent, well-intentioned,…

Individual Training, Performance Improvement, and the Future for Organizations

ERIC Educational Resources Information Center

Kaufman, Roger

2015-01-01

Human competence is a vital element for any organization that expects to survive and then thrive. Developing individual performance ability is necessary but not sufficient because trained people alone will not make an organization successful. We must determine what people should deliver and why it should be delivered in order to add measurable…

Learning Documentations in VET Systems: An Analysis of Current Swiss Practices

ERIC Educational Resources Information Center

Caruso, Valentina; Cattaneo, Alberto; Gurtner, Jean-Luc

2016-01-01

Swiss vocational education and training (VET) is defined as a dual-track system where apprentices weekly alternate between vocational school and a (real) workplace. At the workplace, they have to keep a learning documentation throughout their training, in which they are expected to regularly document their professional development. The actual use…

What Millennial Preservice Teachers Want to Learn in Their Training

ERIC Educational Resources Information Center

Clark, Sarah K.; Byrnes, Deborah

2015-01-01

As teacher educators, we implore teacher candidates to understand the cultures and experiences of their students to engage them in learning. Yet, preservice teachers are seldom asked what they hope to learn in their training to become teachers of young children. In this study, we examined the interests, resources, and expectations of millennial…

Crash Injury Management for Traffic Law Enforcement Officers; Emergency Medical Services; Course Guide.

ERIC Educational Resources Information Center

Cleven, Arlene M.

The course guide has been prepared to aid in planning and conducting a training program in emergency medical care for first responders to traffic accidents (expected to be patrolling law enforcement officers). This document contains a detailed description of the training program; suggestions for course planning including class size, scheduling…

Can Policymakers Improve the Effectiveness of Entrepreneurship Training Programmes? Evidence from Italy

ERIC Educational Resources Information Center

Matricano, Diego

2017-01-01

Despite efforts by European national governments to implement dedicated entrepreneurship training activities and enhance start-up expectations, as established by the Lisbon Strategy (2000), the results achieved have not always been satisfactory. A particularly noteworthy case occurred in Italy in 2008, when there were very few newly created…

Training Evaluation in Italian Corporate Universities: A Stakeholder-Based Analysis

ERIC Educational Resources Information Center

Guerci, Marco; Bartezzaghi, Emilio; Solari, Luca

2010-01-01

Corporate universities have emerged as a mechanism for providing companies with a wide variety of training and development activities. They are a recent but under-researched phenomenon, and given their substantial budgets, it might be expected that they would wish to evaluate what they do. The authors explore the evaluation practices of six…

The Career Path to Instructional Design Project Management: An Expert Perspective from the US Professional Services Sector

ERIC Educational Resources Information Center

Williams van Rooij, Shahron

2013-01-01

There are well-documented competency standards for instructional/training designers and for project managers. However, there is little research about what skills and abilities employers expect from those seeking to become instructional/training design project managers, particularly within specific industry sectors. Focusing on the US professional…

Predicting Autonomous and Controlled Motivation to Transfer Training

ERIC Educational Resources Information Center

Gegenfurtner, Andreas; Festner, Dagmar; Gallenberger, Wolfgang; Lehtinen, Erno; Gruber, Hans

2009-01-01

In spite of a broad consensus on the importance of motivation for the transfer of learning from training to the job in work organizations, studies investigating motivation to transfer are limited. This study combines the self-determination theory, the expectancy theory and the theory of planned behaviour to provide a theoretical framework for…

Generalization of Dynamics Learning Across Changes in Movement Amplitude

PubMed Central

Mattar, Andrew A. G.

2010-01-01

Studies on generalization show the nature of how learning is encoded in the brain. Previous studies have shown rather limited generalization of dynamics learning across changes in movement direction, a finding that is consistent with the idea that learning is primarily local. In contrast, studies show a broader pattern of generalization across changes in movement amplitude, suggesting a more general form of learning. To understand this difference, we performed an experiment in which subjects held a robotic manipulandum and made movements to targets along the body midline. Subjects were trained in a velocity-dependent force field while moving to a 15 cm target. After training, subjects were tested for generalization using movements to a 30 cm target. We used force channels in conjunction with movements to the 30 cm target to assess the extent of generalization. Force channels restricted lateral movements and allowed us to measure force production during generalization. We compared actual lateral forces to the forces expected if dynamics learning generalized fully. We found that, during the test for generalization, subjects produced reliably less force than expected. Force production was appropriate for the portion of the transfer movement in which velocities corresponded to those experienced with the 15 cm target. Subjects failed to produce the expected forces when velocities exceeded those experienced in the training task. This suggests that dynamics learning generalizes little beyond the range of one's experience. Consistent with this result, subjects who trained on the 30 cm target showed full generalization to the 15 cm target. We performed two additional experiments that show that interleaved trials to the 30 cm target during training on the 15 cm target can resolve the difference between the current results and those reported previously. PMID:20463200

Robot-assisted task-oriented upper extremity skill training in cervical spinal cord injury: a feasibility study.

PubMed

Vanmulken, D A M M; Spooren, A I F; Bongers, H M H; Seelen, H A M

2015-07-01

Prospective multiple case study. To test (1) the feasibility of haptic robot technology (Haptic Master (HM)) use to improve arm-hand function (AHF) and arm-hand skill performance (AHSP) in persons with a cervical spinal cord injury (C-SCI), (2) inventory participants' motivation and expectation to work with the robot technology used and (3) to descriptively report the results in individual cases. Rehabilitation Centre. Five C-SCI patients were trained for 6 weeks, 3 days per week, 60 min per day. Therapists filled out the Usefulness, Satisfaction and Ease-of-use questionnaire (USE). The Intrinsic Motivational Inventory (IMI) and credibility and expectancy questionnaire (CEQ) were filled out by participants. Performance at activity level was gauged using the Van Lieshout test for AHF in Tetraplegia and the Spinal Cord Independence Measure. Function level was gauged using muscle strength testing and the International Classification for Surgery of the Hand in Tetraplegia. As to the feasibility of the application of haptic robot technology, the mean USE score was 65%. Mean IMI and CEQ results were 67% and 60%, respectively. Participants were motivated to train with the HM. All participants rated credibility higher than expectations regarding the improvement. In the current patients, little progress was demonstrated at the International Classification of Functioning, Disability and Health function and the activity level. It is feasible to train C-SCI persons with the HM. Therapists report that working with the HM is easy to learn and easy to perform. Usability of the HM may be improved. Further research is needed to assess in which group of C-SCI and at which stage of rehabilitation HM training may be most beneficial.

The young athlete: challenges of growth, development, and society.

PubMed

Bergeron, Michael F

2010-01-01

Youth sports provide numerous health-enhancing and other important benefits to participating children and adolescents. However, the motivations and goals of young athletes often conflict with those of adult stakeholders, and they are redirected. The youth sports industry has become exclusionary, as the professional model of development increasingly is prevalent and accepted. Youth who follow this model often cannot keep up with the unrealistic expectations and excessive demands. Too much play, training, travel, and pressure frequently lead to a variety of physical and psychological problems, particularly concurrent with the vulnerability of a young athlete going through pre- or early adolescence and the rapid growth phase. The need for alternative models, emphasizing fun and fundamentals, is becoming increasingly clear and urgent. With appropriate changes, youth sports once again can be an effective entry point for a lifetime of healthy sports participation and enjoyment.

Anxiety sensitivity and negative urgency: a pathway to negative reinforcement-related smoking expectancies.

PubMed

Guillot, Casey R; Pang, Raina D; Leventhal, Adam M

2014-01-01

Anxiety sensitivity--fear of anxiety symptoms--may increase motivation to smoke by influencing the development of cognitive expectations regarding smoking's negative reinforcing effects; yet, the nature and mechanisms of this pathway are unclear. We hypothesized that relations between anxiety sensitivity and negative reinforcement-related smoking expectancies would be mediated by negative urgency, that is, a trait tendency to act impulsively during negative affect. In a cross-sectional design, we administered self-report measures of anxiety sensitivity, negative urgency, and negative reinforcement-related smoking outcome and abstinence expectancies to 205 smokers (≥10 cigarettes/d, 34% female, M age = 44.4 years). Anxiety sensitivity was associated with stronger expectancies that smoking alleviates negative affect (β = 0.30; P < 0.0001) and smoking abstinence exacerbates aversive withdrawal symptoms (β = 0.24; P = 0.0004). Negative urgency partially mediated the relation between anxiety sensitivity and both types of negative reinforcement-related smoking expectancies (βs ≥ 0.057; Ps ≤ 0.007). Results remained significant after statistically controlling for anxiety and nicotine dependence symptoms. Smokers high in anxiety sensitivity tend to display negative urgency, which in turn is related to greater expectations of negative reinforcement consequences of smoking and smoking abstinence. Treatments that mitigate fear of anxiety symptoms and the tendency to act impulsively in response to negative affect (eg, interoceptive exposure, distress tolerance skills training, and mindfulness training) may be particularly useful in assisting with smoking cessation for high-anxiety sensitivity smokers.

Resident Autonomy in the Operating Room: Expectations Versus Reality.

PubMed

Meyerson, Shari L; Sternbach, Joel M; Zwischenberger, Joseph B; Bender, Edward M

2017-09-01

There is concern about graduating thoracic trainees' independent operative skills due to limited autonomy in training. This study compared faculty and trainee expected levels of autonomy with intraoperative measurements of autonomy for common cardiothoracic operations. Participants underwent frame-of-reference training on the 4-point Zwisch scale of operative autonomy (show and tell → active help → passive help → supervision only) and evaluated autonomy in actual cases using the Zwisch Me!! mobile application. A separate "expected autonomy" survey elicited faculty and resident perceptions of how much autonomy a resident should have for six common operations: decortication, wedge resection, thoracoscopic lobectomy, coronary artery bypass grafting, aortic valve replacement, and mitral valve repair. Thirty-three trainees from 7 institutions submitted evaluations of 596 cases over 18 months (March 2015 to September 2016). Thirty attendings subsequently provided their evaluation of 476 of those cases (79.9% response rate). Expected autonomy surveys were completed by 21 attendings and 19 trainees from 5 institutions. The six operations included in the survey constituted 47% (226 of 476) of the cases evaluated. Trainee and attending expectations did not differ significantly for senior trainees. Both groups expected significantly higher levels of autonomy than observed in the operating room for all six types of cases. Although faculty and trainees both expect similar levels of autonomy in the operating room, real-time measurements of autonomy show a gap between expectations and reality. Decreasing this gap will require a concerted effort by both faculty and residents to focus on the development of independent operative skills. Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

Experience of overseas-trained health professionals in rural and remote areas of destination countries: a literature review.

PubMed

Dywili, Sophia; Bonner, Ann; Anderson, Judith; O' Brien, Louise

2012-08-01

This study aimed to review and synthesise existing literature that investigated the experience of overseas-trained health professionals (OTHPs) in rural and remote areas of destination countries. A systematic literature review was conducted using electronic databases and manual search of studies published from January 2004 to February 2011. Data were analysed from the final 17 original report articles that met the inclusion criteria. The reviewed research studies were conducted in Australia, Canada, New Zealand, the UK and the USA. Overseas-trained medical practitioners were the most frequently researched (n = 14); two studies involved nurses and one study included several health professionals. Three main themes emerged from the review and these were: (i) expectations; (ii) cultural diversity; and (iii) orientation and integration to rural and remote health work environment. The OTHPs were expected to possess the appropriate professional and cultural skills while they themselves expected recognition of their previous experiences and adequate organisational orientation and support. A welcoming and accepting community coupled with a relaxed rural lifestyle and the joy of continued patient care resulted in successful integration and contributed to increased staff retention rates. Recognition of expectations and cultural diversity by all parties and comprehensive orientation with sufficient organisational support are important elements in the integration of OTHPs and subsequent delivery of quality health care to people living in rural and remote areas. © 2012 The Authors. Australian Journal of Rural Health © National Rural Health Alliance Inc.

An Integrative Behavioral Model of Information Security Policy Compliance

PubMed Central

Kim, Sang Hoon; Yang, Kyung Hoon; Park, Sunyoung

2014-01-01

The authors found the behavioral factors that influence the organization members' compliance with the information security policy in organizations on the basis of neutralization theory, Theory of planned behavior, and protection motivation theory. Depending on the theory of planned behavior, members' attitudes towards compliance, as well as normative belief and self-efficacy, were believed to determine the intention to comply with the information security policy. Neutralization theory, a prominent theory in criminology, could be expected to provide the explanation for information system security policy violations. Based on the protection motivation theory, it was inferred that the expected efficacy could have an impact on intentions of compliance. By the above logical reasoning, the integrative behavioral model and eight hypotheses could be derived. Data were collected by conducting a survey; 194 out of 207 questionnaires were available. The test of the causal model was conducted by PLS. The reliability, validity, and model fit were found to be statistically significant. The results of the hypotheses tests showed that seven of the eight hypotheses were acceptable. The theoretical implications of this study are as follows: (1) the study is expected to play a role of the baseline for future research about organization members' compliance with the information security policy, (2) the study attempted an interdisciplinary approach by combining psychology and information system security research, and (3) the study suggested concrete operational definitions of influencing factors for information security policy compliance through a comprehensive theoretical review. Also, the study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for the implement of information system security policies in organizations. Second, it proves that the need of education and training programs suppressing members' neutralization intention to violate information security policy should be emphasized. PMID:24971373

An integrative behavioral model of information security policy compliance.

PubMed

Kim, Sang Hoon; Yang, Kyung Hoon; Park, Sunyoung

2014-01-01

The authors found the behavioral factors that influence the organization members' compliance with the information security policy in organizations on the basis of neutralization theory, Theory of planned behavior, and protection motivation theory. Depending on the theory of planned behavior, members' attitudes towards compliance, as well as normative belief and self-efficacy, were believed to determine the intention to comply with the information security policy. Neutralization theory, a prominent theory in criminology, could be expected to provide the explanation for information system security policy violations. Based on the protection motivation theory, it was inferred that the expected efficacy could have an impact on intentions of compliance. By the above logical reasoning, the integrative behavioral model and eight hypotheses could be derived. Data were collected by conducting a survey; 194 out of 207 questionnaires were available. The test of the causal model was conducted by PLS. The reliability, validity, and model fit were found to be statistically significant. The results of the hypotheses tests showed that seven of the eight hypotheses were acceptable. The theoretical implications of this study are as follows: (1) the study is expected to play a role of the baseline for future research about organization members' compliance with the information security policy, (2) the study attempted an interdisciplinary approach by combining psychology and information system security research, and (3) the study suggested concrete operational definitions of influencing factors for information security policy compliance through a comprehensive theoretical review. Also, the study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for the implement of information system security policies in organizations. Second, it proves that the need of education and training programs suppressing members' neutralization intention to violate information security policy should be emphasized.

Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model.

PubMed

Resende, R T; Resende, M D V; Silva, F F; Azevedo, C F; Takahashi, E K; Silva-Junior, O B; Grattapaglia, D

2017-10-01

We report a genomic selection (GS) study of growth and wood quality traits in an outbred F 2 hybrid Eucalyptus population (n=768) using high-density single-nucleotide polymorphism (SNP) genotyping. Going beyond previous reports in forest trees, models were developed for different selection targets, namely, families, individuals within families and individuals across the entire population using a genomic model including dominance. To provide a more breeder-intelligible assessment of the performance of GS we calculated the expected response as the percentage gain over the population average expected genetic value (EGV) for different proportions of genomically selected individuals, using a rigorous cross-validation (CV) scheme that removed relatedness between training and validation sets. Predictive abilities (PAs) were 0.40-0.57 for individual selection and 0.56-0.75 for family selection. PAs under an additive+dominance model improved predictions by 5 to 14% for growth depending on the selection target, but no improvement was seen for wood traits. The good performance of GS with no relatedness in CV suggested that our average SNP density (~25 kb) captured some short-range linkage disequilibrium. Truncation GS successfully selected individuals with an average EGV significantly higher than the population average. Response to GS on a per year basis was ~100% more efficient than by phenotypic selection and more so with higher selection intensities. These results contribute further experimental data supporting the positive prospects of GS in forest trees. Because generation times are long, traits are complex and costs of DNA genotyping are plummeting, genomic prediction has good perspectives of adoption in tree breeding practice.

Competent for Unsupervised Practice: Use of Pediatric Residency Training Milestones to Assess Readiness.

PubMed

Li, Su-Ting T; Tancredi, Daniel J; Schwartz, Alan; Guillot, Ann P; Burke, Ann E; Trimm, R Franklin; Guralnick, Susan; Mahan, John D; Gifford, Kimberly A

2017-03-01

To describe clinical skills progression during pediatric residency using the distribution of pediatric milestone assessments by subcompetency and year of training and to determine reasonable milestone expectations at time of graduation. Multi-institutional cohort study of the milestones reported to the Accreditation Council for Graduate Medical Education for all 21 pediatric subcompetencies. Most subcompetencies were measured using five milestone levels (1 = novice, 2 = advanced beginner, 3 = competent, 4 = proficient, 5 = master); 3 subcompetencies had only four levels defined. Milestone assessments for 2,030 pediatric residents in 47 programs during academic year 2013-2014 were obtained. There was significant variation in end-of-year milestone ratings for residents within each level of training, which decreased as training level increased. Most (78.9%; 434/550) graduating third-year pediatric residents received a milestone rating of ≥ 3 in all 21 subcompetencies; fewer (21.1%; 116/550) received a rating of ≥ 4 in all subcompetencies. Across all training levels, professionalism and interpersonal communication skills were rated highest; quality improvement was rated lowest. Trainees entered residency with a wide range of skills. As they advanced, skill variability within a training level decreased. Most graduating pediatric residents were still advancing on the milestone continuum toward proficiency and mastery, and an expectation of milestone ratings ≥ 4 in all categories upon graduation is unrealistic; milestone ratings ≥ 3 upon graduation may be more realistic. Understanding current pediatric residents' and graduates' skills can help to identify key areas that should be specifically targeted during training.

How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach.

PubMed

Ichikawa, Daisuke; Saito, Toki; Ujita, Waka; Oyama, Hiroshi

2016-12-01

Our purpose was to develop a new machine-learning approach (a virtual health check-up) toward identification of those at high risk of hyperuricemia. Applying the system to general health check-ups is expected to reduce medical costs compared with administering an additional test. Data were collected during annual health check-ups performed in Japan between 2011 and 2013 (inclusive). We prepared training and test datasets from the health check-up data to build prediction models; these were composed of 43,524 and 17,789 persons, respectively. Gradient-boosting decision tree (GBDT), random forest (RF), and logistic regression (LR) approaches were trained using the training dataset and were then used to predict hyperuricemia in the test dataset. Undersampling was applied to build the prediction models to deal with the imbalanced class dataset. The results showed that the RF and GBDT approaches afforded the best performances in terms of sensitivity and specificity, respectively. The area under the curve (AUC) values of the models, which reflected the total discriminative ability of the classification, were 0.796 [95% confidence interval (CI): 0.766-0.825] for the GBDT, 0.784 [95% CI: 0.752-0.815] for the RF, and 0.785 [95% CI: 0.752-0.819] for the LR approaches. No significant differences were observed between pairs of each approach. Small changes occurred in the AUCs after applying undersampling to build the models. We developed a virtual health check-up that predicted the development of hyperuricemia using machine-learning methods. The GBDT, RF, and LR methods had similar predictive capability. Undersampling did not remarkably improve predictive power. Copyright © 2016 Elsevier Inc. All rights reserved.

Telemedicine and telepharmacy: current status and future implications.

PubMed

Angaran, D M

1999-07-15

Uses of telemedicine are described and potential roles for pharmacists are discussed. Telemedicine has been defined as "the use of electronic information and communications technologies to provide and support health care when distance separates the participants." Technologies included in telemedicine are videoconferencing, telephones, computers, the Internet, fax, radio, and television. Telepharmacy has the same basic definition but refers to pharmaceutical care provision. Although the videotelemedicine market is expected to grow considerably, lack of reimbursement and high costs are continuing obstacles. Pharmacy is using video-conferencing for education, training, and management purposes. The telephone has changed from a dial-and-talk instrument to a multimedia access tool. Medical devices are being attached to telephone lines to provide remote monitoring and therapy, and call centers are providing medication counseling, prior authorization, refill authorization, and formulary compliance monitoring. Although the Internet has quickly become a star performer, utilization by health care lags behind that of other industries. The Internet-fueled empowerment of consumers and their expectations for speed, access, and convenience are creating more unmet expectations of the traditional health care system. Pharmacy has both organizational and individual practitioner Web sites, but it is online drugstores that are attracting most attention. Potential benefits of telemedicine include improved access to care, greater efficiency in diagnosis and treatment, higher productivity, and market positioning for the coming century. Telemedicine will tax the economic, regulatory, legal, ethical, and clinical care expertise of the entire health care system. Studies of the effectiveness, cost, and societal implications of telemedicine are needed, along with practice models and standards, training programs, and solutions to regulatory, licensing, and legal questions. Securing reimbursement for cognitive services remains a problem for telemedicine and telepharmacy. Telemedicine presents profound opportunities and challenges to pharmacy and other health care professions.

A nationwide survey of first aid training and encounters in Norway.

PubMed

Bakke, Håkon Kvåle; Steinvik, Tine; Angell, Johan; Wisborg, Torben

2017-02-23

Bystander first aid can improve survival following out-of-hospital cardiac arrest or trauma. Thus, providing first aid education to laypersons may lead to better outcomes. In this study, we aimed to establish the prevalence and distribution of first aid training in the populace, how often first aid skills are needed, and self-reported helping behaviour. We conducted a telephone survey of 1000 respondents who were representative of the Norwegian population. Respondents were asked where and when they had first aid training, if they had ever encountered situations where first aid was necessary, and stratified by occupation. First aid included cardio-pulmonary resuscitation (CPR) and basic life support (BLS). To test theoretical first aid knowledge, respondents were subjected to two hypothetical first aid scenarios. Among the respondents, 90% had received first aid training, and 54% had undergone first aid training within the last 5 years. The workplace was the most common source of first aid training. Of the 43% who had been in a situation requiring first aid, 89% had provided first aid in that situation. There were considerable variations among different occupations in first aid training, and exposure to situations requiring first aid. Theoretical first aid knowledge was not as good as expected in light of the high share who had first aid training. In the presented scenarios 42% of respondent would initiate CPR in an unconscious patient not breathing normally, and 46% would provide an open airway to an unconscious road traffic victim. First aid training was correlated with better theoretical knowledge, but time since first aid training was not. A high proportion of the Norwegian population had first aid training, and interviewees reported high willingness to provide first aid. Theoretical first aid knowledge was worse than expected. While first aid is part of national school curriculum, few have listed school as the source for their first aid training.

Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer

PubMed Central

Basavanhally, Ajay; Viswanath, Satish; Madabhushi, Anant

2015-01-01

Clinical trials increasingly employ medical imaging data in conjunction with supervised classifiers, where the latter require large amounts of training data to accurately model the system. Yet, a classifier selected at the start of the trial based on smaller and more accessible datasets may yield inaccurate and unstable classification performance. In this paper, we aim to address two common concerns in classifier selection for clinical trials: (1) predicting expected classifier performance for large datasets based on error rates calculated from smaller datasets and (2) the selection of appropriate classifiers based on expected performance for larger datasets. We present a framework for comparative evaluation of classifiers using only limited amounts of training data by using random repeated sampling (RRS) in conjunction with a cross-validation sampling strategy. Extrapolated error rates are subsequently validated via comparison with leave-one-out cross-validation performed on a larger dataset. The ability to predict error rates as dataset size increases is demonstrated on both synthetic data as well as three different computational imaging tasks: detecting cancerous image regions in prostate histopathology, differentiating high and low grade cancer in breast histopathology, and detecting cancerous metavoxels in prostate magnetic resonance spectroscopy. For each task, the relationships between 3 distinct classifiers (k-nearest neighbor, naive Bayes, Support Vector Machine) are explored. Further quantitative evaluation in terms of interquartile range (IQR) suggests that our approach consistently yields error rates with lower variability (mean IQRs of 0.0070, 0.0127, and 0.0140) than a traditional RRS approach (mean IQRs of 0.0297, 0.0779, and 0.305) that does not employ cross-validation sampling for all three datasets. PMID:25993029

Social Awareness and Action Training (SAAT)

DTIC Science & Technology

2015-06-01

scheduled for September, 2013, and the one -year follow-in June, 2014. o Preliminary analyses of the pretest - posttest data from Fort Sill and JBLM...training session ( pretest , Time 1) and immediately after the last training session ( posttest , Time 2). The sample size was estimated based on an expected...reverse worded items. As noted in Figure 1, data from 20 soldiers on the pretest or posttest (11 from the SRT, 9 from the CAT) were judged to be of

Neuro-Cognitive Assessment, Symptoms of Attention Deficit and Hyperactivity Disorder, and Soldier Performance during 68W Advanced Individual Training

DTIC Science & Technology

2007-10-01

Disorder ( ADHD ). When distinctions are made, they are clearly identified by type: inattentive or hyperactive-impulsive. A third grouping of symptoms...and emergency medical training, followed by nine weeks of classroom lecture, interactive computer training, and life-sized patient simulation, to...his seat in the classroom or in other situations in which remaining seated is expected. Often runs about or climbs in situations when it is

Analysis of Special Forces Medic (18D) Attrition

DTIC Science & Technology

1994-08-01

130 students per year, 18D should reach 100% strength in the second quarter of FY95. Training Issues The biggest single reason for the high attrition...including a library and 24-hour study rooms, ix SOMED and SOMTC should consider incorporating computer-based training into the 18D training. The PA...particularly in the sciences. Given this, the high SOMED attrition rate is to be expected. Some have suggested that a greater effort should be made to recruit

Development of the LaComm 1.0, A French medical communication analysis software: A study assessing its sensitivity to change.

PubMed

Gibon, Anne-Sophie; Durieux, Jean-François; Merckaert, Isabelle; Delvaux, Nicole; Farvacques, Christine; Libert, Yves; Marchal, Serge; Moucheux, Angélique; Slachmuylder, Jean-Louis; Razavi, Darius

2017-02-01

To test and compare the sensitivity to change of a communication analysis software, the LaComm 1.0, to the CRCWEM's using data from a randomized study assessing the efficacy of a communication skills training program designed for nurses. The program assessment included the recording of two-person simulated interviews at baseline and after training or 3 months later. Interview transcripts were analyzed using the CRCWEM and the LaComm 1.0 tools. One hundred and nine oncology nurses (mainly graduated or certified) were included in the study. The CRCWEM detected 5 changes out of 13 expected changes (38%) (e.g., more open directive questions after training) and the LaComm 1.0, 4 changes out of 7 expected changes (57%) (e.g., more empathic statements after training). For open directive question, the effect sizes of the group-by-time changes were slightly different between tools (CRCWEM: Cohen's d=0.97; LaComm 1.0: Cohen's d=0.67). This study shows that the LaComm 1.0 is sensitive to change. The LaComm 1.0 is a valid method to assess training effectiveness in French. The use of the Lacomm 1.0 in future French communication skills training programs will allow comparisons of studies. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Utah Regional Differences in Respirator Use and Fit Testing among Pesticide Applicators.

PubMed

Pate, Michael L; Beard, F Richard; Hall, Kelsey

2017-01-26

The purpose of this study was to determine regional differences within Utah in response to piloting a mobile respirator training and fit assessment program for pesticide applicators. The objectives were to describe worker perceptions of respirator use and training experiences. Pilot trainings were offered in two southern counties and two northern counties of Utah. A total of 141 individuals completed the post-training questionnaire regarding use and fit testing experience with respirators as well as perceptions of the benefits to protecting respiratory health. The majority of respondents were male (95.7%, f = 112). The proportion of participants in the southern counties who had respirator training experience (61.0%, f = 25) was not significantly higher (2 = 3.763, df = 1, p = 0.05) than the proportion of participants in the northern counties (43.0%, f = 43). Three-fourths (73.5%, f = 72) of participants in the northern counties agreed that they expect to wear a respirator in dusty conditions, while two-thirds (61.0%, f = 25) of participants in the southern counties agreed that they expect to wear a respirator in dusty conditions. The results indicated that more training should be done to improve perceptions and beliefs about using respirators. A high priority for this population will be identification of comfortable respirator options as well as communicating the importance of proper fit testing. Copyright© by the American Society of Agricultural Engineers.

Cosmetic dermatologic surgical training in US dermatology residency programs: identifying and overcoming barriers.

PubMed

Bauer, Bruce; Williams, Erin; Stratman, Erik J

2014-02-01

The public and other medical specialties expect dermatologists who offer cosmetic dermatology services to provide competent care. There are numerous barriers to achieving cosmetic dermatology competency during residency. Many dermatology residents enter the workforce planning to provide cosmetic services. If a training gap exists, this may adversely affect patient safety. To identify resources available for hands-on cosmetic dermatology training in US dermatology residency training programs and to assess program director (PD) attitudes toward cosmetic dermatology training during residency and strategies, including discounted pricing, used by training programs to overcome barriers related to resident-performed cosmetic dermatology procedures. An online survey in academic dermatology practices among PDs of US dermatology residency programs. Frequency of cosmetic dermatology devices and injectables used for dermatology resident hands-on cosmetic dermatology training, categorizing PD attitudes toward cosmetic dermatology training during residency and describing residency-related discounted pricing models. Responses from PDs were received from 53 of 114 (46%) US dermatology residency programs. All but 3 programs (94%) offered hands-on cosmetic dermatology training using botulinum toxin, and 47 of 53 (89%) provided training with hyaluronic acid fillers. Pulsed dye lasers represented the most common laser use experienced by residents (41 of 52 [79%]), followed by Q-switched Nd:YAG (30 of 52 [58%]). Discounted procedures were offered by 32 of 53 (60%) programs, with botulinum toxin (30 of 32 [94%]) and fillers (27 of 32 [84%]) most prevalent and with vascular lasers (17 of 32 [53%]) and hair removal lasers (12 of 32 [38%]) less common. Various discounting methods were used. Only 20 of 53 (38%) PDs believed that cosmetic dermatology should be a necessary aspect of residency training; 14 of 52 (27%) PDs thought that residents should not be required to perform any cosmetic dermatology procedures. Although almost every program provides hands-on cosmetic dermatology training, there are barriers to training, including patient preferences, costs of procedures and products, and PD attitudes toward cosmetic dermatology training. To promote patient safety, procedural competency is imperative.

QSAR Modeling of Rat Acute Toxicity by Oral Exposure

PubMed Central

Zhu, Hao; Martin, Todd M.; Ye, Lin; Sedykh, Alexander; Young, Douglas M.; Tropsha, Alexander

2009-01-01

Few Quantitative Structure-Activity Relationship (QSAR) studies have successfully modeled large, diverse rodent toxicity endpoints. In this study, a comprehensive dataset of 7,385 compounds with their most conservative lethal dose (LD50) values has been compiled. A combinatorial QSAR approach has been employed to develop robust and predictive models of acute toxicity in rats caused by oral exposure to chemicals. To enable fair comparison between the predictive power of models generated in this study versus a commercial toxicity predictor, TOPKAT (Toxicity Prediction by Komputer Assisted Technology), a modeling subset of the entire dataset was selected that included all 3,472 compounds used in the TOPKAT’s training set. The remaining 3,913 compounds, which were not present in the TOPKAT training set, were used as the external validation set. QSAR models of five different types were developed for the modeling set. The prediction accuracy for the external validation set was estimated by determination coefficient R2 of linear regression between actual and predicted LD50 values. The use of the applicability domain threshold implemented in most models generally improved the external prediction accuracy but expectedly led to the decrease in chemical space coverage; depending on the applicability domain threshold, R2 ranged from 0.24 to 0.70. Ultimately, several consensus models were developed by averaging the predicted LD50 for every compound using all 5 models. The consensus models afforded higher prediction accuracy for the external validation dataset with the higher coverage as compared to individual constituent models. The validated consensus LD50 models developed in this study can be used as reliable computational predictors of in vivo acute toxicity. PMID:19845371

Quantitative structure-activity relationship modeling of rat acute toxicity by oral exposure.

PubMed

Zhu, Hao; Martin, Todd M; Ye, Lin; Sedykh, Alexander; Young, Douglas M; Tropsha, Alexander

2009-12-01

Few quantitative structure-activity relationship (QSAR) studies have successfully modeled large, diverse rodent toxicity end points. In this study, a comprehensive data set of 7385 compounds with their most conservative lethal dose (LD(50)) values has been compiled. A combinatorial QSAR approach has been employed to develop robust and predictive models of acute toxicity in rats caused by oral exposure to chemicals. To enable fair comparison between the predictive power of models generated in this study versus a commercial toxicity predictor, TOPKAT (Toxicity Prediction by Komputer Assisted Technology), a modeling subset of the entire data set was selected that included all 3472 compounds used in TOPKAT's training set. The remaining 3913 compounds, which were not present in the TOPKAT training set, were used as the external validation set. QSAR models of five different types were developed for the modeling set. The prediction accuracy for the external validation set was estimated by determination coefficient R(2) of linear regression between actual and predicted LD(50) values. The use of the applicability domain threshold implemented in most models generally improved the external prediction accuracy but expectedly led to the decrease in chemical space coverage; depending on the applicability domain threshold, R(2) ranged from 0.24 to 0.70. Ultimately, several consensus models were developed by averaging the predicted LD(50) for every compound using all five models. The consensus models afforded higher prediction accuracy for the external validation data set with the higher coverage as compared to individual constituent models. The validated consensus LD(50) models developed in this study can be used as reliable computational predictors of in vivo acute toxicity.

Controlled comparison of species- and community-level models across novel climates and communities

PubMed Central

Maguire, Kaitlin C.; Blois, Jessica L.; Fitzpatrick, Matthew C.; Williams, John W.; Ferrier, Simon; Lorenz, David J.

2016-01-01

Species distribution models (SDMs) assume species exist in isolation and do not influence one another's distributions, thus potentially limiting their ability to predict biodiversity patterns. Community-level models (CLMs) capitalize on species co-occurrences to fit shared environmental responses of species and communities, and therefore may result in more robust and transferable models. Here, we conduct a controlled comparison of five paired SDMs and CLMs across changing climates, using palaeoclimatic simulations and fossil-pollen records of eastern North America for the past 21 000 years. Both SDMs and CLMs performed poorly when projected to time periods that are temporally distant and climatically dissimilar from those in which they were fit; however, CLMs generally outperformed SDMs in these instances, especially when models were fit with sparse calibration datasets. Additionally, CLMs did not over-fit training data, unlike SDMs. The expected emergence of novel climates presents a major forecasting challenge for all models, but CLMs may better rise to this challenge by borrowing information from co-occurring taxa. PMID:26962143

Developing a model of health behavior change to reduce parasitic disease in Vietnam.

PubMed

Petersen, Suni; Do, Trina; Shaw, Christy; Brake, Kaile

2016-12-01

Worldwide more deaths occur due to conditions that can be ameliorated by behavior change. Changing health behaviors using models popularized in non-western countries has not proven particularly successful. The purpose of this study was to test variables elicited during qualitative interviews and cultural conversations to develop a model of health behavior change from the ground up in Vietnam. Village leaders and women representatives from the Women's Committee were trained as health advocates to facilitate changes in health practices that led to parasitic and infectious diseases. The health advocates visited 156 families to assess household conditions and assist women head-of-households in applying new behaviors to water treatment, personal hygiene, proper latrining and proximity of animals to humans. Predictors that were tested were self-efficacy, social desirability, internal and external control, and outcome expectations. The correlational and regression design resulted in self-efficacy alone predicting both home hygiene and family health with a large effect size. Social desirability appears to play a different role than in western culture studies. Outcome expectations and control were not predictive. A cultural analysis of the results is included. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

A concordance-based study to assess doctors’ and nurses’ mental models in Internal Medicine

PubMed Central

Chan, K. C. Gary; Muller-Juge, Virginie; Cullati, Stéphane; Hudelson, Patricia; Maître, Fabienne; Vu, Nu V.; Savoldelli, Georges L.; Nendaz, Mathieu R.

2017-01-01

Interprofessional collaboration between doctors and nurses is based on team mental models, in particular for each professional’s roles. Our objective was to identify factors influencing concordance on the expectations of doctors’ and nurses’ roles and responsibilities in an Internal Medicine ward. Using a dataset of 196 doctor-nurse pairs (14x14 = 196), we analyzed choices and prioritized management actions of 14 doctors and 14 nurses in six clinical nurse role scenarios, and in five doctor role scenarios (6 options per scenario). In logistic regression models with a non-nested correlation structure, we evaluated concordance among doctors and nurses, and adjusted for potential confounders (including prior experience in Internal Medicine, acuteness of case and gender). Concordance was associated with number of female professionals (adjusted OR 1.32, 95% CI 1.02 to 1.73), for acute situations (adjusted OR 2.02, 95% CI 1.13 to 3.62), and in doctor role scenarios (adjusted OR 2.19, 95% CI 1.32 to 3.65). Prior experience and country of training were not significant predictors of concordance. In conclusion, our concordance-based approach helped us identify areas of lower concordance in expected doctor-nurse roles and responsibilities, particularly in non-acute situations, which can be targeted by future interprofessional, educational interventions. PMID:28792524

Real-time human versus animal classification using pyro-electric sensor array and Hidden Markov Model

NASA Astrophysics Data System (ADS)

Hossen, Jakir; Jacobs, Eddie L.; Chari, Srikant

2014-03-01

In this paper, we propose a real-time human versus animal classification technique using a pyro-electric sensor array and Hidden Markov Model. The technique starts with the variational energy functional level set segmentation technique to separate the object from background. After segmentation, we convert the segmented object to a signal by considering column-wise pixel values and then finding the wavelet coefficients of the signal. HMMs are trained to statistically model the wavelet features of individuals through an expectation-maximization learning process. Human versus animal classifications are made by evaluating a set of new wavelet feature data against the trained HMMs using the maximum-likelihood criterion. Human and animal data acquired-using a pyro-electric sensor in different terrains are used for performance evaluation of the algorithms. Failures of the computationally effective SURF feature based approach that we develop in our previous research are because of distorted images produced when the object runs very fast or if the temperature difference between target and background is not sufficient to accurately profile the object. We show that wavelet based HMMs work well for handling some of the distorted profiles in the data set. Further, HMM achieves improved classification rate over the SURF algorithm with almost the same computational time.

Color generalization across hue and saturation in chicks described by a simple (Bayesian) model.

PubMed

Scholtyssek, Christine; Osorio, Daniel C; Baddeley, Roland J

2016-08-01

Color conveys important information for birds in tasks such as foraging and mate choice, but in the natural world color signals can vary substantially, so birds may benefit from generalizing responses to perceptually discriminable colors. Studying color generalization is therefore a way to understand how birds take account of suprathreshold stimulus variations in decision making. Former studies on color generalization have focused on hue variation, but natural colors often vary in saturation, which could be an additional, independent source of information. We combine behavioral experiments and statistical modeling to investigate whether color generalization by poultry chicks depends on the chromatic dimension in which colors vary. Chicks were trained to discriminate colors separated by equal distances on a hue or a saturation dimension, in a receptor-based color space. Generalization tests then compared the birds' responses to familiar and novel colors lying on the same chromatic dimension. To characterize generalization we introduce a Bayesian model that extracts a threshold color distance beyond which chicks treat novel colors as significantly different from the rewarded training color. These thresholds were the same for generalization along the hue and saturation dimensions, demonstrating that responses to novel colors depend on similarity and expected variation of color signals but are independent of the chromatic dimension.

A Deep Learning Approach to LIBS Spectroscopy for Planetary Applications

NASA Astrophysics Data System (ADS)

Mullen, T. H.; Parente, M.; Gemp, I.; Dyar, M. D.

2017-12-01

The ChemCam instrument on the Curiousity rover has collected >440,000 laser-induced breakdown spectra (LIBS) from 1500 different geological targets since 2012. The team is using a pipeline of preprocessing and partial least squares techniques to predict compositions of surface materials [1]. Unfortunately, such multivariate techniques are plagued by hard-to-meet assumptions involving constant hyperparameter tuning to specific elements and the amount of training data available; if the whole distribution of data is not seen, the method will overfit to the training data and generalizability will suffer. The rover only has 10 calibration targets on-board that represent a small subset of the geochemical samples the rover is expected to investigate. Deep neural networks have been used to bypass these issues in other fields. Semi-supervised techniques allow researchers to utilized small labeled datasets and vast amounts of unlabeled data. One example is the variational autoencoder model, a semi-supervised generative model in the form of a deep neural network. The autoencoder assumes that LIBS spectra are generated from a distribution conditioned on the elemental compositions in the sample and some nuisance. The system is broken into two models: one that predicts elemental composition from the spectra and one that generates spectra from compositions that may or may not be seen in the training set. The synthesized spectra show strong agreement with geochemical conventions to express specific compositions. The predictions of composition show improved generalizability to PLS. Deep neural networks have also been used to transfer knowledge from one dataset to another to solve unlabeled data problems. Given that vast amounts of laboratry LIBS spectra have been obtained in the past few years, it is now feasible train a deep net to predict elemental composition from lab spectra. Transfer learning (manifold alignment or calibration transfer) [2] is then used to fine-tune the model from terrestrial lab data to Martian field data. Neural networks and generative models provide the flexibility need for elemental composition prediction and unseen spectra synthesis. [1] Clegg S. et al. (2016) Spectrochim. Acta B, 129, 64-85. [2] Boucher T. et al. (2017) J. Chemom., 31, e2877.

The dread factor: how hazards and safety training influence learning and performance.

PubMed

Burke, Michael J; Salvador, Rommel O; Smith-Crowe, Kristin; Chan-Serafin, Suzanne; Smith, Alexis; Sonesh, Shirley

2011-01-01

On the basis of hypotheses derived from social and experiential learning theories, we meta-analytically investigated how safety training and workplace hazards impact the development of safety knowledge and safety performance. The results were consistent with an expected interaction between the level of engagement of safety training and hazardous event/exposure severity in the promotion of safety knowledge and performance. For safety knowledge and safety performance, highly engaging training was considerably more effective than less engaging training when hazardous event/exposure severity was high, whereas highly and less engaging training had comparable levels of effectiveness when hazardous event/exposure severity was low. Implications of these findings for theory testing and incorporating information on objective risk into workplace safety research and practice are discussed.

Cost-effectiveness of electronic training in domestic violence risk assessment: ODARA 101.

PubMed

Hilton, N Zoe; Ham, Elke

2015-03-01

The need for domestic violence training has increased with the development of evidence-based risk assessment tools, which must be scored correctly for valid application. Emerging research indicates that training in domestic violence risk assessment can increase scoring accuracy, but despite the increasing popularity of electronic training, it is not yet known whether it can be an effective method of risk assessment training. In the present study, 87 assessors from various professions had training in the Ontario Domestic Assault Risk Assessment either face-to-face or using an electronic training program. The two conditions were equally effective, as measured by performance on a post-training skill acquisition test. Completion rates were 100% for face-to-face and 86% for electronic training, an improvement over a previously evaluated manual-only condition. The estimated per-trainee cost of electronic training was one third that of face-to-face training and expected to decrease. More rigorous evaluations of electronic training for risk assessment are recommended. © The Author(s) 2014.

Weather forecasting based on hybrid neural model

NASA Astrophysics Data System (ADS)

Saba, Tanzila; Rehman, Amjad; AlGhamdi, Jarallah S.

2017-11-01

Making deductions and expectations about climate has been a challenge all through mankind's history. Challenges with exact meteorological directions assist to foresee and handle problems well in time. Different strategies have been investigated using various machine learning techniques in reported forecasting systems. Current research investigates climate as a major challenge for machine information mining and deduction. Accordingly, this paper presents a hybrid neural model (MLP and RBF) to enhance the accuracy of weather forecasting. Proposed hybrid model ensure precise forecasting due to the specialty of climate anticipating frameworks. The study concentrates on the data representing Saudi Arabia weather forecasting. The main input features employed to train individual and hybrid neural networks that include average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed and average cloudiness. The output layer composed of two neurons to represent rainy and dry weathers. Moreover, trial and error approach is adopted to select an appropriate number of inputs to the hybrid neural network. Correlation coefficient, RMSE and scatter index are the standard yard sticks adopted for forecast accuracy measurement. On individual standing MLP forecasting results are better than RBF, however, the proposed simplified hybrid neural model comes out with better forecasting accuracy as compared to both individual networks. Additionally, results are better than reported in the state of art, using a simple neural structure that reduces training time and complexity.

When Expectations Clash: Vocational Education at the Intersection of Workplace and School

ERIC Educational Resources Information Center

Tyson, Ruhi

2016-01-01

Next to highly regarded varieties of apprenticeship-based vocational education there are, in many countries, forms of mainly school-based VET (vocational education and training) that suffer from a clash of expectations between schools and workplaces as sites of vocational education. School-based VET is viewed as of lesser value compared to work…

Work Expectations, Human Capital Accumulation, and the Wages of Young Women.

ERIC Educational Resources Information Center

Sandell, Steven H.; Shapiro, David

Based on the National Longitudinal Surveys of Young Women aged fourteen to twenty-four in 1968, a study was made to determine the impact that women's ex ante labor market expectations have on their salary and development and to examine the effect of women's postschool training and maturation (human capital accumulation) on wages. Six findings…

Students' Outcome Expectation on Spiritual and Religious Competency: A Hierarchical Regression Analysis

ERIC Educational Resources Information Center

Lu, Junfei; Woo, Hongryun

2017-01-01

In this study, 74 master's-level counseling students from various programs completed a questionnaire inquiring about their perceived program environment in relation to the topics of spirituality and religion (S/R), program emphasis on nine specific S/R competencies, as well as their outcome expectations toward being S/R competent through training.…

Generalist Pre-Service Teacher Education, Self-Efficacy and Arts Education: An Impossible Expectation?

ERIC Educational Resources Information Center

Collins, Anita

2016-01-01

Generalist teacher educators in Australia are struggling with an impossible expectation in the area of arts education. This is due to a cascading trio of systemic issues. Firstly generalist teachers are entering their teacher education courses with variable and often minimal personal arts training. Secondly they are ill supported to improve their…

The Role of the Nucleus Accumbens in Knowing when to Respond

ERIC Educational Resources Information Center

Singh, Teghpal; McDannald, Michael A.; Takahashi, Yuji K.; Haney, Richard Z.; Cooch, Nisha K.; Lucantonio, Federica; Schoenbaum, Geoffrey

2011-01-01

While knowing what to expect is important, it is equally important to know when to expect it and to respond accordingly. This is apparent even in simple Pavlovian training situations in which animals learn to respond more strongly closer to reward delivery. Here we report that the nucleus accumbens core, an area well-positioned to represent…

Mismatched Perceptions and Expectations: An Exploration of Stakeholders' Views of Key and Technical Skills in Vocational Education and Training

ERIC Educational Resources Information Center

Saunders, Mark N. K.; Skinner, Denise; Beresford, Richard

2005-01-01

Purpose: To explore potential mismatches between stakeholders' perceptions and expectations of key and technical skills needed for an advanced modern apprentice within the UK. Design/methodology/approach: Using data collected from the automotive sector, the template process is used to establish lecturer, student and employee stakeholder group's…

Effects of Video Game Training on Behavioral and Electrophysiological Measures of Attention and Memory: Protocol for a Randomized Controlled Trial.

PubMed

Ballesteros, Soledad; Mayas, Julia; Ruiz-Marquez, Eloisa; Prieto, Antonio; Toril, Pilar; Ponce de Leon, Laura; de Ceballos, Maria L; Reales Avilés, José Manuel

2017-01-24

Neuroplasticity-based approaches seem to offer promising ways of maintaining cognitive health in older adults and postponing the onset of cognitive decline symptoms. Although previous research suggests that training can produce transfer effects, this study was designed to overcome some limitations of previous studies by incorporating an active control group and the assessment of training expectations. The main objectives of this study are (1) to evaluate the effects of a randomized computer-based intervention consisting of training older adults with nonaction video games on brain and cognitive functions that decline with age, including attention and spatial working memory, using behavioral measures and electrophysiological recordings (event-related potentials [ERPs]) just after training and after a 6-month no-contact period; (2) to explore whether motivation, engagement, or expectations might account for possible training-related improvements; and (3) to examine whether inflammatory mechanisms assessed with noninvasive measurement of C-reactive protein in saliva impair cognitive training-induced effects. A better understanding of these mechanisms could elucidate pathways that could be targeted in the future by either behavioral or neuropsychological interventions. A single-blinded randomized controlled trial with an experimental group and an active control group, pretest, posttest, and 6-month follow-up repeated measures design is used in this study. A total of 75 cognitively healthy older adults were randomly distributed into experimental and active control groups. Participants in the experimental group received 16 1-hour training sessions with cognitive nonaction video games selected from Lumosity, a commercial brain training package. The active control group received the same number of training sessions with The Sims and SimCity, a simulation strategy game. We have recruited participants, have conducted the training protocol and pretest assessments, and are currently conducting posttest evaluations. The study will conclude in the first semester of 2017. Data analysis will take place during 2017. The primary outcome is transfer of benefit from training to attention and working memory functions and the neural mechanisms underlying possible cognitive improvements. We expect that mental stimulation with video games will improve attention and memory both at the behavioral level and in ERP components promoting brain and mental health and extending independence among elderly people by avoiding the negative personal and economic consequences of long-term care. Clinicaltrials.gov NCT02796508; https://clinicaltrials.gov/ct2/show/NCT02796508 (archived by WebCite at http://www.webcitation.org/6nFeKeFNB). ©Soledad Ballesteros, Julia Mayas, Eloisa Ruiz-Marquez, Antonio Prieto, Pilar Toril, Laura Ponce de Leon, Maria L de Ceballos, José Manuel Reales Avilés. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.01.2017.

Imitation Combined with a Characteristic Stimulus Duration Results in Robust Collective Decision-Making.

PubMed

Toulet, Sylvain; Gautrais, Jacques; Bon, Richard; Peruani, Fernando

2015-01-01

For group-living animals, reaching consensus to stay cohesive is crucial for their fitness, particularly when collective motion starts and stops. Understanding the decision-making at individual and collective levels upon sudden disturbances is central in the study of collective animal behavior, and concerns the broader question of how information is distributed and evaluated in groups. Despite the relevance of the problem, well-controlled experimental studies that quantify the collective response of groups facing disruptive events are lacking. Here we study the behavior of small-sized groups of uninformed individuals subject to the departure and stop of a trained conspecific. We find that the groups reach an effective consensus: either all uninformed individuals follow the trained one (and collective motion occurs) or none does. Combining experiments and a simple mathematical model we show that the observed phenomena results from the interplay between simple mimetic rules and the characteristic duration of the stimulus, here, the time during which the trained individual is moving away. The proposed mechanism strongly depends on group size, as observed in the experiments, and even if group splitting can occur, the most likely outcome is always a coherent collective group response (consensus). The prevalence of a consensus is expected even if the groups of naives face conflicting information, e.g. if groups contain two subgroups of trained individuals, one trained to stay and one trained to leave. Our results indicate that collective decision-making and consensus in (small) animal groups are likely to be self-organized phenomena that do not involve concertation or even communication among the group members.

George Kuzmycz Training Center : 5 years of American-Ukrainian efforts in the field of material control and accounting

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

Gavrilyuk, V. I.; Gavrylyuk, A. V.; Kirischuk, V. I.

2004-01-01

The George Kuzmycz Training Center for Physical Protection, Control and Accounting of Nuclear Material (GKTC) was established in October 1998 at the Kiev Institute for Nuclear Research. During the past six years, about 700 professionals from all Ukrainian nuclear installations, executive and regulatory bodies were trained at the GKTC. Future Material Control and Accounting (MC&A) training courses are going to be held even more frequently because Ukraine has already signed the Additional Model Protocol and its ratification by Ukrainian Parliament is expected to happen very soon. Additionally, a number of new training courses will be developed. US DOE trough Argonnemore » National Laboratory has made significant efforts to transfer Automated Inventory/Material Accounting System (AIMAS) software to Ukraine. As a result, AIMAS software can be used as a basic code for the development of the Computerized MC&A System for all Ukrainian nuclear facilities despite their differences. In 2003, a new laboratory for Nondestructive Assay (NDA) was established with assistance from the U.S. Department of Energy. As a result, GKTC training capabilities will increase substantially. Furthermore, in order to increase the efficiency of NDA laboratory, it is planned to use the NDA equipment for a program of interdiction of illicit traffic of nuclear materials in Ukraine. American-Ukrainian MC&A efforts for the last 6 years, the problems encountered and the solutions to these problems, as well as comments, suggestions and recommendations for future activity at GKTC to promote and improve the nuclear material management culture in Ukraine are discussed in detail.« less

The Reliability of In-Training Assessment when Performance Improvement Is Taken into Account

ERIC Educational Resources Information Center

van Lohuizen, Mirjam T.; Kuks, Jan B. M.; van Hell, Elisabeth A.; Raat, A. N.; Stewart, Roy E.; Cohen-Schotanus, Janke

2010-01-01

During in-training assessment students are frequently assessed over a longer period of time and therefore it can be expected that their performance will improve. We studied whether there really is a measurable performance improvement when students are assessed over an extended period of time and how this improvement affects the reliability of the…

What Is "Social Capital" and How Can Vocational Education and Training Help Develop It? Conference Paper

ERIC Educational Resources Information Center

Priest, Suellen

2009-01-01

Recent research in the vocational education and training (VET) sector shows that students are gaining a range of benefits from their studies, beyond expected course outcomes. Students are developing new networks, and gaining confidence and self esteem through the respect received from their teachers and classmates. For some students, these…

Student Service and SEM: Training as the Tool to Sharpen Your Competitive Edge

ERIC Educational Resources Information Center

Leigh, Susan

2014-01-01

The Challenge: After years of investments on structures and systems that improve and integrate student transactional experiences, we discover that we have neglected to train our staff in customer service competencies that match student expectations. The Answer: Invest in your student service staff to ensure they possess the professional skills to…

Carpenter: Apprenticeship Course Outline. Apprenticeship and Industry Training. 0207.1

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2007

2007-01-01

The graduate of the Carpenter apprenticeship program is a certified journeyperson who will be able: (1) to responsibly do all work tasks expected of a journeyperson; (2) to supervise, train and coach apprentices; (3) to understand the principles of sound and safe construction; (4) to know the characteristics and proper use of all building…

Sawfiler: Apprenticeship Course Outline. Apprenticeship and Industry Training. 4406.3

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2006

2006-01-01

The graduate of the Sawfiler apprenticeship program is a certified journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) have a thorough knowledge of trade terminology; (4) use with safety and competence the hand and power tools commonly used in the trade;…

Qualifying the Workforce: The Use of Nationally-Recognised Training in Australian Companies

ERIC Educational Resources Information Center

Smith, Erica; Smith, Andrew; Pickersgill, Richard; Rushbrook, Peter

2006-01-01

Purpose: To report on research that examines the impact of the adoption of nationally-recognised training by enterprises in Australia. Design/methodology/approach: The project involved a mix of methodologies including focus groups, employer survey and case studies. Findings: The research found that there had been a higher than expected adoption of…

23 CFR 230.111 - Implementation of special requirements for the provision of on-the-job training.

Code of Federal Regulations, 2010 CFR

2010-04-01

... to be provided training therein: (1) Availability of minorities, women, and disadvantaged for... contract. (5) Total normal work force that the average bidder could be expected to use. (6) Geographic location. (7) Type of work. (8) The need for additional journeymen in the area. (9) Recognition of the...

Ironworker: Apprenticeship Course Outline. Apprenticeship and Industry Training. 40-0-06.2

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2006

2006-01-01

The graduate of the Ironworker apprenticeship program is a certified journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) demonstrate the principles of drafting, how drawings originate and how to correctly interpret the information given--the use of each…

Ironworker - Metal Building Systems Erector: Apprenticeship Course Outline. Apprenticeship and Industry Training. 40-1-06.2

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2006

2006-01-01

The graduate of the Ironworker - Metal Building System Erector apprenticeship program is a certified journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) demonstrate the principles of drafting, how drawings originate and how to correctly interpret the…

Ironworker--Structural/Ornamental: Apprenticeship Course Outline. Apprenticeship and Industry Training. 40-2-06.4

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2006

2006-01-01

The graduate of the Ironworker-Structural/Ornamental apprenticeship program is a certified journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) demonstrate the principles of drafting, how drawings originate and how to correctly interpret the information…

Ironworker - Reinforcing: Apprenticeship Course Outline. Apprenticeship and Industry Training. 40-3-06.4

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2006

2006-01-01

The graduate of the Ironworker - Reinforcing apprenticeship program is a certified journeyperson who will be able: (1) to responsibly do all work tasks expected of a journeyperson; (2) to supervise, train and coach apprentices; (3) to demonstrate the principles of drafting, how drawings originate and how to correctly interpret the information…

Teacher Training System and Process: Opinions of Teacher Candidates on Teacher Qualifications

ERIC Educational Resources Information Center

Yenmez, Arzu Aydogan; Ozpinar, Ilknur; Sahin, Seher Mandaci

2016-01-01

It is considered that teacher candidates offering their expectations and solution recommendations as well as assessing themselves on the competence aspect will be effective on eliminating the main problems in teacher training. In this respect, purpose of the research is to specify the opinions of teacher candidates on how they evaluate themselves…

Enhancing Expectations of Cooperative Learning Use through Initial Teacher Training

ERIC Educational Resources Information Center

Duran Gisbert, David; Corcelles Seuba, Mariona; Flores Coll, Marta

2017-01-01

Despite its relevance and evidence support, Cooperative Learning (CL) is a challenge for all educational systems due to the difficulties in its implementation. The objective of this study is to identify the effect of Primary Education initial teacher training in the prediction of future CL use. Two groups of 44 and 45 students were conceptually…

Strategies for Improving Miners' Training. CDC Workplace Safety and Health Information Circular, 2002.

ERIC Educational Resources Information Center

Peters, Robert H., Ed.

These eight papers are intended to help prepare trainers of mine safety for an expected influx of younger workers as experienced miners retire and acquaint the trainers with strategies they can use to enhance their training effectiveness. "Principles of Adult Learning: Application for Mine Trainers" (Kathleen M. Kowalski, Charles Vaught)…

Powerline Technician: Apprenticeship Course Outline. Apprenticeship and Industry Training. 2104.4

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2004

2004-01-01

The graduate of the Powerline Technician apprenticeship program is a certified journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) supervise, train and coach apprentices; (3) use and maintain hand and power tools to the standards of competency and safety required in the trade; (4) construct,…

Cook: Apprenticeship Course Outline. Apprenticeship and Industry Training. 1806.2

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2006

2006-01-01

The graduate of the Cook apprenticeship program is a certified journeyperson who will be able to: (1) responsibly do all work tasks expected of a journeyperson; (2) be able to supervise, train and coach apprentices; (3) know the required sanitation standards and regulations in order to produce wholesome food; (4) have a thorough knowledge of…

Engine Lathe Operator. Instructor's Guide. Part of Single-Tool Skills Program Series. Machine Industries Occupations.

ERIC Educational Resources Information Center

New York State Education Dept., Albany. Bureau of Secondary Curriculum Development.

Expected to help meet the need for trained operators in metalworking and suitable for use in the adult education programs of school districts, in manpower development and training programs, and in secondary schools, this guide consists of four sections: Introduction, General Job Content, Shop Projects, and Drawings for the Projects. General Job…

Student Teams' Development over Time: Tracing the Relationship between the Quality of Communication and Teams' Performance

ERIC Educational Resources Information Center

Pöysä-Tarhonen, Johanna; Elen, Jan; Tarhonen, Pasi

2016-01-01

Current discussions in higher education and alumni training acknowledge the challenges training programs face in responding to the authentic needs of the labor market. In addition to academic knowledge, higher education institutions are expected to provide general twenty-first-century skills, such as problem-solving, critical thinking,…

Preventing disease through opportunistic, rapid engagement by primary care teams using behaviour change counselling (PRE-EMPT): protocol for a general practice-based cluster randomised trial.

PubMed

Spanou, Clio; Simpson, Sharon A; Hood, Kerry; Edwards, Adrian; Cohen, David; Rollnick, Stephen; Carter, Ben; McCambridge, Jim; Moore, Laurence; Randell, Elizabeth; Pickles, Timothy; Smith, Christine; Lane, Claire; Wood, Fiona; Thornton, Hazel; Butler, Chris C

2010-09-21

Smoking, excessive alcohol consumption, lack of exercise and an unhealthy diet are the key modifiable factors contributing to premature morbidity and mortality in the developed world. Brief interventions in health care consultations can be effective in changing single health behaviours. General Practice holds considerable potential for primary prevention through modifying patients' multiple risk behaviours, but feasible, acceptable and effective interventions are poorly developed, and uptake by practitioners is low. Through a process of theoretical development, modeling and exploratory trials, we have developed an intervention called Behaviour Change Counselling (BCC) derived from Motivational Interviewing (MI). This paper describes the protocol for an evaluation of a training intervention (the Talking Lifestyles Programme) which will enable practitioners to routinely use BCC during consultations for the above four risk behaviours. This cluster randomised controlled efficacy trial (RCT) will evaluate the outcomes and costs of this training intervention for General Practitioners (GPs) and nurses. Training methods will include: a practice-based seminar, online self-directed learning, and reflecting on video recorded and simulated consultations. The intervention will be evaluated in 29 practices in Wales, UK; two clinicians will take part (one GP and one nurse) from each practice. In intervention practices both clinicians will receive training. The aim is to recruit 2000 patients into the study with an expected 30% drop out. The primary outcome will be the proportion of patients making changes in one or more of the four behaviours at three months. Results will be compared for patients seeing clinicians trained in BCC with patients seeing non-BCC trained clinicians. Economic and process evaluations will also be conducted. Opportunistic engagement by health professionals potentially represents a cost effective medical intervention. This study integrates an existing, innovative intervention method with an innovative training model to enable clinicians to routinely use BCC, providing them with new tools to encourage and support people to make healthier choices. This trial will evaluate effectiveness in primary care and determine costs of the intervention.

Preventing disease through opportunistic, rapid engagement by primary care teams using behaviour change counselling (PRE-EMPT): protocol for a general practice-based cluster randomised trial

PubMed Central

2010-01-01

Background Smoking, excessive alcohol consumption, lack of exercise and an unhealthy diet are the key modifiable factors contributing to premature morbidity and mortality in the developed world. Brief interventions in health care consultations can be effective in changing single health behaviours. General Practice holds considerable potential for primary prevention through modifying patients' multiple risk behaviours, but feasible, acceptable and effective interventions are poorly developed, and uptake by practitioners is low. Through a process of theoretical development, modeling and exploratory trials, we have developed an intervention called Behaviour Change Counselling (BCC) derived from Motivational Interviewing (MI). This paper describes the protocol for an evaluation of a training intervention (the Talking Lifestyles Programme) which will enable practitioners to routinely use BCC during consultations for the above four risk behaviours. Methods/Design This cluster randomised controlled efficacy trial (RCT) will evaluate the outcomes and costs of this training intervention for General Practitioners (GPs) and nurses. Training methods will include: a practice-based seminar, online self-directed learning, and reflecting on video recorded and simulated consultations. The intervention will be evaluated in 29 practices in Wales, UK; two clinicians will take part (one GP and one nurse) from each practice. In intervention practices both clinicians will receive training. The aim is to recruit 2000 patients into the study with an expected 30% drop out. The primary outcome will be the proportion of patients making changes in one or more of the four behaviours at three months. Results will be compared for patients seeing clinicians trained in BCC with patients seeing non-BCC trained clinicians. Economic and process evaluations will also be conducted. Discussion Opportunistic engagement by health professionals potentially represents a cost effective medical intervention. This study integrates an existing, innovative intervention method with an innovative training model to enable clinicians to routinely use BCC, providing them with new tools to encourage and support people to make healthier choices. This trial will evaluate effectiveness in primary care and determine costs of the intervention. Trial Registration ISRCTN22495456 PMID:20858273

Deep learning based classification of morphological patterns in RCM to guide noninvasive diagnosis of melanocytic lesions (Conference Presentation)

NASA Astrophysics Data System (ADS)

Kose, Kivanc; Bozkurt, Alican; Ariafar, Setareh; Alessi-Fox, Christi A.; Gill, Melissa; Dy, Jennifer G.; Brooks, Dana H.; Rajadhyaksha, Milind

2017-02-01

In this study we present a deep learning based classification algorithm for discriminating morphological patterns that appear in RCM mosaics of melanocytic lesions collected at the dermal epidermal junction (DEJ). These patterns are classified into 6 distinct types in the literature: background, meshwork, ring, clod, mixed, and aspecific. Clinicians typically identify these morphological patterns by examination of their textural appearance at 10X magnification. To mimic this process we divided mosaics into smaller regions, which we call tiles, and classify each tile in a deep learning framework. We used previously acquired DEJ mosaics of lesions deemed clinically suspicious, from 20 different patients, which were then labelled according to those 6 types by 2 expert users. We tried three different approaches for classification, all starting with a publicly available convolutional neural network (CNN) trained on natural image, consisting of a series of convolutional layers followed by a series of fully connected layers: (1) We fine-tuned this network using training data from the dataset. (2) Instead, we added an additional fully connected layer before the output layer network and then re-trained only last two layers, (3) We used only the CNN convolutional layers as a feature extractor, encoded the features using a bag of words model, and trained a support vector machine (SVM) classifier. Sensitivity and specificity were generally comparable across the three methods, and in the same ranges as our previous work using SURF features with SVM . Approach (3) was less computationally intensive to train but more sensitive to unbalanced representation of the 6 classes in the training data. However we expect CNN performance to improve as we add more training data because both the features and the classifier are learned jointly from the data. *First two authors share first authorship.

Recovery Act: Training Program Development for Commercial Building Equipment Technicians

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

Leah Glameyer

The overall goal of this project has been to develop curricula, certification requirements, and accreditation standards for training on energy efficient practices and technologies for commercial building technicians. These training products will advance industry expertise towards net-zero energy commercial building goals and will result in a substantial reduction in energy use. The ultimate objective is to develop a workforce that can bring existing commercial buildings up to their energy performance potential and ensure that new commercial buildings do not fall below their expected optimal level of performance. Commercial building equipment technicians participating in this training program will learn how tomore » best operate commercial buildings to ensure they reach their expected energy performance level. The training is a combination of classroom, online and on-site lessons. The Texas Engineering Extension Service (TEEX) developed curricula using subject matter and adult learning experts to ensure the training meets certification requirements and accreditation standards for training these technicians. The training targets a specific climate zone to meets the needs, specialized expertise, and perspectives of the commercial building equipment technicians in that zone. The combination of efficient operations and advanced design will improve the internal built environment of a commercial building by increasing comfort and safety, while reducing energy use and environmental impact. Properly trained technicians will ensure equipment operates at design specifications. A second impact is a more highly trained workforce that is better equipped to obtain employment. Organizations that contributed to the development of the training program include TEEX and the Texas Engineering Experiment Station (TEES) (both members of The Texas A&M University System). TEES is also a member of the Building Commissioning Association. This report includes a description of the project accomplishments, including the course development phases, tasks associated with each phase, and detailed list of the course materials developed. A summary of each year's activities is also included.« less

Building a patient-centered and interprofessional training program with patients, students and care professionals: study protocol of a participatory design and evaluation study.

PubMed

Vijn, Thomas W; Wollersheim, Hub; Faber, Marjan J; Fluit, Cornelia R M G; Kremer, Jan A M

2018-05-30

A common approach to enhance patient-centered care is training care professionals. Additional training of patients has been shown to significantly improve patient-centeredness of care. In this participatory design and evaluation study, patient education and medical education will be combined by co-creating a patient-centered and interprofessional training program, wherein patients, students and care professionals learn together to improve patient-centeredness of care. In the design phase, scientific literature regarding interventions and effects of student-run patient education will be synthesized in a scoping review. In addition, focus group studies will be performed on the preferences of patients, students, care professionals and education professionals regarding the structure and content of the training program. Subsequently, an intervention plan of the training program will be constructed by combining these building blocks. In the evaluation phase, patients with a chronic disease, that is rheumatoid arthritis, diabetes and hypertension, and patients with an oncologic condition, that is colonic cancer and breast cancer, will learn together with medical students, nursing students and care professionals in training program cycles of three months. Process and effect evaluation will be performed using the plan-do-study-act (PDSA) method to evaluate and optimize the training program in care practice and medical education. A modified control design will be used in PDSA-cycles to ensure that students who act as control will also benefit from participating in the program. Our participatory design and evaluation study provides an innovative approach in designing and evaluating an intervention by involving participants in all stages of the design and evaluation process. The approach is expected to enhance the effectiveness of the training program by assessing and meeting participants' needs and preferences. Moreover, by using fast PDSA cycles and a modified control design in evaluating the training program, the training program is expected to be efficiently and rapidly implemented into and adjusted to care practice and medical education.