Group supervision for healthcare professionals within primary care for patients with psychosomatic health problems: a pilot intervention study.

PubMed

Bullington, Jennifer; Cronqvist, Agneta

2018-03-01

In primary health care, efficacious treatment strategies are lacking for these patients, although the most prominent symptoms accounting for consultation in primary care often cannot be related to any biological causes. The aim was to explore whether group supervision from a specific phenomenological theory of psychosomatics could provide healthcare professionals treating patients with psychosomatic health issues within primary care a deeper understanding of these conditions and stimulate profession-specific treatment strategies. Our research questions were as follows: (i) What is the healthcare professionals' understanding of psychosomatics before and after the intervention? (ii) What are the treatment strategies for this group of patients before and after the intervention? The study was an explorative qualitative intervention pilot study. The six participants from a primary healthcare setting in a medium-sized city in Sweden participated in the study. A supervision group was formed, based on a mix of professions, age, gender and years of clinical experience. Supervision consisted of one 75-minutes meeting every month during the course of 6 months. Participants were interviewed before and after the supervision intervention. The study showed two distinct categories emerged from the data. One category of healthcare professionals espoused a psycho-educative approach, while the other lacked a cohesive approach. The supervision improved the second category of healthcare professionals' understanding of psychosomatics. The psycho-educative group did not change their understanding of psychosomatics, although they felt strengthened in their approach by the supervision. Profession-specific strategies were not developed. This pilot study indicates that a relatively short supervision intervention can aid clinicians in their clinical encounters with these patients; however, further research is necessary to ascertain the value of the specific phenomenologically based supervision intervention. © 2017 Nordic College of Caring Science.

International Doctoral Students in Counselor Education: Coping Strategies in Supervision Training

ERIC Educational Resources Information Center

Woo, Hongryun; Jang, Yoo Jin; Henfield, Malik S.

2015-01-01

This study explores 8 international doctoral students' perceptions of coping strategies used in supervision training in counselor education programs. Using human agency as a conceptual framework, the authors found 3 categories: (a) personal and professional self-directed strategies as personal agency, (b) support and care from mentors as proxy…

Benchmarking protein classification algorithms via supervised cross-validation.

PubMed

Kertész-Farkas, Attila; Dhir, Somdutta; Sonego, Paolo; Pacurar, Mircea; Netoteia, Sergiu; Nijveen, Harm; Kuzniar, Arnold; Leunissen, Jack A M; Kocsor, András; Pongor, Sándor

2008-04-24

Development and testing of protein classification algorithms are hampered by the fact that the protein universe is characterized by groups vastly different in the number of members, in average protein size, similarity within group, etc. Datasets based on traditional cross-validation (k-fold, leave-one-out, etc.) may not give reliable estimates on how an algorithm will generalize to novel, distantly related subtypes of the known protein classes. Supervised cross-validation, i.e., selection of test and train sets according to the known subtypes within a database has been successfully used earlier in conjunction with the SCOP database. Our goal was to extend this principle to other databases and to design standardized benchmark datasets for protein classification. Hierarchical classification trees of protein categories provide a simple and general framework for designing supervised cross-validation strategies for protein classification. Benchmark datasets can be designed at various levels of the concept hierarchy using a simple graph-theoretic distance. A combination of supervised and random sampling was selected to construct reduced size model datasets, suitable for algorithm comparison. Over 3000 new classification tasks were added to our recently established protein classification benchmark collection that currently includes protein sequence (including protein domains and entire proteins), protein structure and reading frame DNA sequence data. We carried out an extensive evaluation based on various machine-learning algorithms such as nearest neighbor, support vector machines, artificial neural networks, random forests and logistic regression, used in conjunction with comparison algorithms, BLAST, Smith-Waterman, Needleman-Wunsch, as well as 3D comparison methods DALI and PRIDE. The resulting datasets provide lower, and in our opinion more realistic estimates of the classifier performance than do random cross-validation schemes. A combination of supervised and random sampling was used to construct model datasets, suitable for algorithm comparison.

Clinical supervision: the state of the art.

PubMed

Falender, Carol A; Shafranske, Edward P

2014-11-01

Since the recognition of clinical supervision as a distinct professional competence and a core competence, attention has turned to ensuring supervisor competence and effective supervision practice. In this article, we highlight recent developments and the state of the art in supervision, with particular emphasis on the competency-based approach. We present effective clinical supervision strategies, providing an integrated snapshot of the current status. We close with consideration of current training practices in supervision and challenges. © 2014 Wiley Periodicals, Inc.

Strategy for Enlisting Lateral Entrants Via Computer Technology (SELECT): An Automated System for Determining Rating and Pay Grade Qualification for Potential Navy Lateral Entry Accessions

DTIC Science & Technology

1983-09-01

Filipino (6- ) Mexican American/Chicano (7: ) Eskimo (8- ) Aleut (9: ) Cuban American (D- ) India (E’ ) Malaysian (G ) Chinese (J" 1...INTERNSHIP PHOTOGRAPHY/ CINEMA (2,2,3,3); FILM PRODUCTION (0,2,3,3); PORTRAITURE (0,1,1,1); TECH PHOTOGRAPHY (0,0,1,2); PERSNNEL SUPERVISION (0,0,1,3

Supervision of the certified occupational therapy assistant.

PubMed

Puccetti, D

1988-01-01

As current trends in health care continue to develop, manpower demands within the profession of occupational therapy will continue to rise. Creative partnerships and collaborative efforts between therapists and assistants are rapidly becoming a necessity to provide cost-effective patient care within a variety of treatment settings. Several documents and resources concerning role delinieation and supervision of assistants are available within the literature; however, few resources have been compiled to address supervision and supervision strategies for the assistant. This paper addresses supervison of the assistant in a fairly broad and generic sense, and includes specific strategies that my be introduced to enhance the supervisory process.

29 CFR 1607.9 - No assumption of validity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... accounts of selection practices or selection outcomes. B. Encouragement of professional supervision. Professional supervision of selection activities is encouraged but is not a substitute for documented evidence... was conducted and that careful development and use of a selection procedure in accordance with...

Active link selection for efficient semi-supervised community detection

NASA Astrophysics Data System (ADS)

Yang, Liang; Jin, Di; Wang, Xiao; Cao, Xiaochun

2015-03-01

Several semi-supervised community detection algorithms have been proposed recently to improve the performance of traditional topology-based methods. However, most of them focus on how to integrate supervised information with topology information; few of them pay attention to which information is critical for performance improvement. This leads to large amounts of demand for supervised information, which is expensive or difficult to obtain in most fields. For this problem we propose an active link selection framework, that is we actively select the most uncertain and informative links for human labeling for the efficient utilization of the supervised information. We also disconnect the most likely inter-community edges to further improve the efficiency. Our main idea is that, by connecting uncertain nodes to their community hubs and disconnecting the inter-community edges, one can sharpen the block structure of adjacency matrix more efficiently than randomly labeling links as the existing methods did. Experiments on both synthetic and real networks demonstrate that our new approach significantly outperforms the existing methods in terms of the efficiency of using supervised information. It needs ~13% of the supervised information to achieve a performance similar to that of the original semi-supervised approaches.

Active link selection for efficient semi-supervised community detection

PubMed Central

Yang, Liang; Jin, Di; Wang, Xiao; Cao, Xiaochun

2015-01-01

Several semi-supervised community detection algorithms have been proposed recently to improve the performance of traditional topology-based methods. However, most of them focus on how to integrate supervised information with topology information; few of them pay attention to which information is critical for performance improvement. This leads to large amounts of demand for supervised information, which is expensive or difficult to obtain in most fields. For this problem we propose an active link selection framework, that is we actively select the most uncertain and informative links for human labeling for the efficient utilization of the supervised information. We also disconnect the most likely inter-community edges to further improve the efficiency. Our main idea is that, by connecting uncertain nodes to their community hubs and disconnecting the inter-community edges, one can sharpen the block structure of adjacency matrix more efficiently than randomly labeling links as the existing methods did. Experiments on both synthetic and real networks demonstrate that our new approach significantly outperforms the existing methods in terms of the efficiency of using supervised information. It needs ~13% of the supervised information to achieve a performance similar to that of the original semi-supervised approaches. PMID:25761385

Process control integration requirements for advanced life support systems applicable to manned space missions

NASA Technical Reports Server (NTRS)

Spurlock, Paul; Spurlock, Jack M.; Evanich, Peggy L.

1991-01-01

An overview of recent developments in process-control technology which might have applications in future advanced life support systems for long-duration space operations is presented. Consideration is given to design criteria related to control system selection and optimization, and process-control interfacing methodology. Attention is also given to current life support system process control strategies, innovative sensors, instrumentation and control, and innovations in process supervision.

A systematic review of what factors attract and retain nurses in aged and dementia care.

PubMed

Chenoweth, Lynn; Jeon, Yun-Hee; Merlyn, Teri; Brodaty, Henry

2010-01-01

To present evidence-based factors for the recruitment and retention of licensed nurses caring for older people and persons with dementia. The international nurse shortage crisis is intensified in the aged and dementia care sector. Strategies to address this crisis rely on qualitative, quasi-experimental, anecdotal and unsubstantiated literature. Systematic literature review. Search terms 'nurse''nurses''nursing''clinical supervision''staff''staffing''staff mix''staff levels''recruitment''retention''aged care''gerontology''gerontological''dementia care''residential''nursing home,' were used in all possible combinations and applied in a wide range of relevant academic databases, with secondary hand searches of selected bibliographies. Two hundred and twenty-six papers were retrieved and scanned, with 105 chosen for closer examination that were relevant to recruitment and retention strategies for dementia and aged care nursing. Twenty-five of the papers chosen for review were rated at level 2++ to 3, according to the guidelines of the National Institute for Health and Clinical Excellence (The NICE Guidelines Manual, National Institute for Health and Clinical Excellence, London). The 25 critically reviewed papers are organised as promising strategies for (1) nurse recruitment and (2) nurse retention. The intrinsic rewards of the caring role attract nurses to dementia and aged care. Essential strategies linking recruitment with retention are: careful selection of student nurse clinical placements and their ongoing supervision and education, training for skills, leadership and teamwork for new and existing nurses, increased staffing levels, pay parity across different health settings and family friendly policies. A family-friendly, learning environment that values and nurtures its nursing staff, in the same way as nurses are expected to value and care for their patients and residents, is critical in ensuring their retention in dementia and aged care.

Receptive field optimisation and supervision of a fuzzy spiking neural network.

PubMed

Glackin, Cornelius; Maguire, Liam; McDaid, Liam; Sayers, Heather

2011-04-01

This paper presents a supervised training algorithm that implements fuzzy reasoning on a spiking neural network. Neuron selectivity is facilitated using receptive fields that enable individual neurons to be responsive to certain spike train firing rates and behave in a similar manner as fuzzy membership functions. The connectivity of the hidden and output layers in the fuzzy spiking neural network (FSNN) is representative of a fuzzy rule base. Fuzzy C-Means clustering is utilised to produce clusters that represent the antecedent part of the fuzzy rule base that aid classification of the feature data. Suitable cluster widths are determined using two strategies; subjective thresholding and evolutionary thresholding respectively. The former technique typically results in compact solutions in terms of the number of neurons, and is shown to be particularly suited to small data sets. In the latter technique a pool of cluster candidates is generated using Fuzzy C-Means clustering and then a genetic algorithm is employed to select the most suitable clusters and to specify cluster widths. In both scenarios, the network is supervised but learning only occurs locally as in the biological case. The advantages and disadvantages of the network topology for the Fisher Iris and Wisconsin Breast Cancer benchmark classification tasks are demonstrated and directions of current and future work are discussed. Copyright © 2010 Elsevier Ltd. All rights reserved.

Effect of Home Exercise Program in Patients With Knee Osteoarthritis: A Systematic Review and Meta-analysis.

PubMed

Anwer, Shahnawaz; Alghadir, Ahmad; Brismée, Jean-Michel

2016-01-01

The Osteoarthritis Research Society International recommended that nonpharmacological methods include patient education programs, weight reduction, coping strategies, and exercise programs for the management of knee osteoarthritis (OA). However, neither a systematic review nor a meta-analysis has been published regarding the effectiveness of home exercise programs for the management of knee OA. The purpose of this systematic review was to examine the evidence regarding the effect of home exercise programs with and without supervised clinic-based exercises in the management of knee OA. We searched PubMed, CINAHL, Embase, Scopus, and PEDro for research articles published prior to September 2014 using key words such as pain, exercise, home exercise program, rehabilitation, supervised exercise program, and physiotherapy in combination with Medical Subject Headings "Osteoarthritis knee." We selected randomized and case-controlled trials published in English language. To verify the quality of the selected studies, we applied the PEDro Scale. Two evaluators individually selected the studies based on titles, excluding those articles that were not related to the objectives of this review. One evaluator extracted data from the included studies. A second evaluator independently verified extracted data for accuracy. A total of 31 studies were found in the search. Of these, 19 studies met the inclusion criteria and were further analyzed. Seventeen of these 19 studies reached high methodological quality on the PEDro scale. Although the methods and home exercise program interventions varied widely in these studies, most found significant improvements in pain and function in individuals with knee OA. The analysis indicated that both home exercise programs with and without supervised clinic-based exercises were beneficial in the management of knee OA. The large evidence of high-quality trials supports the effectiveness of home exercise programs with and without supervised clinic-based exercises in the rehabilitation of knee OA. In addition, small but growing evidence supports the effectiveness of other types of exercise such as tai chi, balance, and proprioceptive training for individuals with knee OA.

Cross-Cultural Supervision: Guiding the Conversation toward Race and Ethnicity

ERIC Educational Resources Information Center

Estrada, Diane; Frame, Marsha Wiggins; Williams, Carmen Braun

2004-01-01

The following article examines the importance of meaningful discussion of race and ethnicity in cross-cultural supervision. They identify common errors in cross-cultural supervision. Through a case illustration, the authors showcase problems that may arise when racial and cultural factors are inappropriately addressed. Strategies for effective…

Supportive supervision and constructive relationships with healthcare workers support CHW performance: Use of a qualitative framework to evaluate CHW programming in Uganda.

PubMed

Ludwick, Teralynn; Turyakira, Eleanor; Kyomuhangi, Teddy; Manalili, Kimberly; Robinson, Sheila; Brenner, Jennifer L

2018-02-13

While evidence supports community health worker (CHW) capacity to improve maternal and newborn health in less-resourced countries, key implementation gaps remain. Tools for assessing CHW performance and evidence on what programmatic components affect performance are lacking. This study developed and tested a qualitative evaluative framework and tool to assess CHW team performance in a district program in rural Uganda. A new assessment framework was developed to collect and analyze qualitative evidence based on CHW perspectives on seven program components associated with effectiveness (selection; training; community embeddedness; peer support; supportive supervision; relationship with other healthcare workers; retention and incentive structures). Focus groups were conducted with four high/medium-performing CHW teams and four low-performing CHW teams selected through random, stratified sampling. Content analysis involved organizing focus group transcripts according to the seven program effectiveness components, and assigning scores to each component per focus group. Four components, 'supportive supervision', 'good relationships with other healthcare workers', 'peer support', and 'retention and incentive structures' received the lowest overall scores. Variances in scores between 'high'/'medium'- and 'low'-performing CHW teams were largest for 'supportive supervision' and 'good relationships with other healthcare workers.' Our analysis suggests that in the Bushenyi intervention context, CHW team performance is highly correlated with the quality of supervision and relationships with other healthcare workers. CHWs identified key performance-related issues of absentee supervisors, referral system challenges, and lack of engagement/respect by health workers. Other less-correlated program components warrant further study and may have been impacted by relatively consistent program implementation within our limited study area. Applying process-oriented measurement tools are needed to better understand CHW performance-related factors and build a supportive environment for CHW program effectiveness and sustainability. Findings from a qualitative, multi-component tool developed and applied in this study suggest that factors related to (1) supportive supervision and (2) relationships with other healthcare workers may be strongly associated with variances in performance outcomes within a program. Careful consideration of supervisory structure and health worker orientation during program implementation are among strategies proposed to increase CHW performance.

Selecting, Training, and Supervising Office Personnel.

ERIC Educational Resources Information Center

Johnson, H. Webster

Designed to be of value to supervisors, office managers, and executives, this book gives a broad introductory background to the functions of selection, training, and supervision of office personnel. Under recruitment and selection, it covers sources of future employees, use of the application blank, testing, checking references, and interviewing.…

Development and formative evaluation of an innovative mHealth intervention for improving coverage of community-based maternal, newborn and child health services in rural areas of India

PubMed Central

Modi, Dhiren; Gopalan, Ravi; Shah, Shobha; Venkatraman, Sethuraman; Desai, Gayatri; Desai, Shrey; Shah, Pankaj

2015-01-01

Background A new cadre of village-based frontline health workers, called Accredited Social Health Activists (ASHAs), was created in India. However, coverage of selected community-based maternal, newborn and child health (MNCH) services remains low. Objective This article describes the process of development and formative evaluation of a complex mHealth intervention (ImTeCHO) to increase the coverage of proven MNCH services in rural India by improving the performance of ASHAs. Design The Medical Research Council (MRC) framework for developing complex interventions was used. Gaps were identified in the usual care provided by ASHAs, based on a literature search, and SEWA Rural's1 three decades of grassroots experience. The components of the intervention (mHealth strategies) were designed to overcome the gaps in care. The intervention, in the form of the ImTeCHO mobile phone and web application, along with the delivery model, was developed to incorporate these mHealth strategies. The intervention was piloted through 45 ASHAs among 45 villages in Gujarat (population: 45,000) over 7 months in 2013 to assess the acceptability, feasibility, and usefulness of the intervention and to identify barriers to its delivery. Results Inadequate supervision and support to ASHAs were noted as a gap in usual care, resulting in low coverage of selected MNCH services and care received by complicated cases. Therefore, the ImTeCHO application was developed to integrate mHealth strategies in the form of job aid to ASHAs to assist with scheduling, behavior change communication, diagnosis, and patient management, along with supervision and support of ASHAs. During the pilot, the intervention and its delivery were found to be largely acceptable, feasible, and useful. A few changes were made to the intervention and its delivery, including 1) a new helpline for ASHAs, 2) further simplification of processes within the ImTeCHO incentive management system and 3) additional web-based features for enhancing value and supervision of Primary Health Center (PHC) staff. Conclusions The effectiveness of the improved ImTeCHO intervention will be now tested through a cluster randomized trial. PMID:25697233

Theme: Supervised Experience.

ERIC Educational Resources Information Center

Cox, David E.; And Others

1991-01-01

Includes "It's Time to Stop Quibbling over the Acronym" (Cox); "Information Rich--Experience Poor" (Elliot et al.); "Supervised Agricultural Experience Selection Process" (Yokum, Boggs); "Point System" (Fraze, Vaughn); "Urban Diversity Rural Style" (Morgan, Henry); "Nonoccupational Supervised Experience" (Croom); "Reflecting Industry" (Miller);…

Large-scale weakly supervised object localization via latent category learning.

PubMed

Chong Wang; Kaiqi Huang; Weiqiang Ren; Junge Zhang; Maybank, Steve

2015-04-01

Localizing objects in cluttered backgrounds is challenging under large-scale weakly supervised conditions. Due to the cluttered image condition, objects usually have large ambiguity with backgrounds. Besides, there is also a lack of effective algorithm for large-scale weakly supervised localization in cluttered backgrounds. However, backgrounds contain useful latent information, e.g., the sky in the aeroplane class. If this latent information can be learned, object-background ambiguity can be largely reduced and background can be suppressed effectively. In this paper, we propose the latent category learning (LCL) in large-scale cluttered conditions. LCL is an unsupervised learning method which requires only image-level class labels. First, we use the latent semantic analysis with semantic object representation to learn the latent categories, which represent objects, object parts or backgrounds. Second, to determine which category contains the target object, we propose a category selection strategy by evaluating each category's discrimination. Finally, we propose the online LCL for use in large-scale conditions. Evaluation on the challenging PASCAL Visual Object Class (VOC) 2007 and the large-scale imagenet large-scale visual recognition challenge 2013 detection data sets shows that the method can improve the annotation precision by 10% over previous methods. More importantly, we achieve the detection precision which outperforms previous results by a large margin and can be competitive to the supervised deformable part model 5.0 baseline on both data sets.

Managing scuba divers to meet ecological goals for coral reef conservation.

PubMed

Sorice, Michael G; Oh, Chi-Ok; Ditton, Robert B

2007-06-01

Marine protected areas increasingly are challenged to maintain or increase tourism benefits while adequately protecting resources. Although carrying capacity strategies can be used to cope with use-related impacts, there is little understanding of divers themselves, their management preferences, and how preferences relate to conservation goals. By using a stated preference choice modeling approach, we investigated the choices divers make in selecting diving trips to marine protected areas as defined by use level, access, level of supervision, fees, conservation education, and diving expectations. Logit models showed that divers preferred a more restrictive management scenario over the status quo. Divers favored reductions in the level of site use and increased levels of conservation education. Divers did not favor fees to access protected areas, having less access to the resource, or extensive supervision. Finally, divers were much more willing to accept increasingly restrictive management scenarios when they could expect to see increased marine life.

Individual and contextual factors associated with community health workers' performance in Nyanza Province, Kenya: a multilevel analysis.

PubMed

Kawakatsu, Yoshito; Sugishita, Tomohiko; Tsutsui, Junya; Oruenjo, Kennedy; Wakhule, Stephen; Kibosia, Kennedy; Were, Eric; Honda, Sumihisa

2015-10-01

Several African and South Asian countries are currently investing in new cadres of community health workers (CHWs) as a major part of strategies aimed at reaching the Millennium Development Goals. However, one review concluded that community health workers did not consistently provide services likely to have substantial effects on health and that quality was usually poor. The objective of this research was to assess the CHWs' performance in Western Kenya and describe determinants of that performance using a multilevel analysis of the two levels, individual and supervisor/community. This study conducted three surveys between August and September 2011 in Nyanza Province, Kenya. The participants of the three surveys were all 1,788 active CHWs, all their supervisors, and 2,560 randomly selected mothers who had children aged 12 to 23 months. CHW performance was generated by three indicators: reporting rate, health knowledge and household coverage. Multilevel analysis was performed to describe the determinants of that performance. The significant factors associated with the CHWs' performance were their marital status, educational level, the size of their household, their work experience, personal sanitation practice, number of supervisions received and the interaction between their supervisors' better health knowledge and the number of supervisions. A high quality of routine supervisions is one of the key interventions in sustaining a CHW's performance. In addition, decreasing the dropout rate of CHWs is important both for sustaining their performance and for avoiding the additional cost of replacing them. As for the selection criteria of new CHWs, good educational status, availability of supporters for household chores and good sanitation practices are all important in selecting CHWs who can maintain their high performance level.

An evaluation of unsupervised and supervised learning algorithms for clustering landscape types in the United States

USGS Publications Warehouse

Wendel, Jochen; Buttenfield, Barbara P.; Stanislawski, Larry V.

2016-01-01

Knowledge of landscape type can inform cartographic generalization of hydrographic features, because landscape characteristics provide an important geographic context that affects variation in channel geometry, flow pattern, and network configuration. Landscape types are characterized by expansive spatial gradients, lacking abrupt changes between adjacent classes; and as having a limited number of outliers that might confound classification. The US Geological Survey (USGS) is exploring methods to automate generalization of features in the National Hydrography Data set (NHD), to associate specific sequences of processing operations and parameters with specific landscape characteristics, thus obviating manual selection of a unique processing strategy for every NHD watershed unit. A chronology of methods to delineate physiographic regions for the United States is described, including a recent maximum likelihood classification based on seven input variables. This research compares unsupervised and supervised algorithms applied to these seven input variables, to evaluate and possibly refine the recent classification. Evaluation metrics for unsupervised methods include the Davies–Bouldin index, the Silhouette index, and the Dunn index as well as quantization and topographic error metrics. Cross validation and misclassification rate analysis are used to evaluate supervised classification methods. The paper reports the comparative analysis and its impact on the selection of landscape regions. The compared solutions show problems in areas of high landscape diversity. There is some indication that additional input variables, additional classes, or more sophisticated methods can refine the existing classification.

Empirical studies of clinical supervision in psychiatric nursing: A systematic literature review and methodological critique.

PubMed

Buus, Niels; Gonge, Henrik

2009-08-01

The objective of this paper was to systematically review and critically evaluate all English language research papers reporting empirical studies of clinical supervision in psychiatric nursing. The first part of the search strategy was a combination of brief and building block strategies in the PubMed, CINAHL, and PsycINFO databases. The second part was a citation pearl growing strategy with reviews of 179 reference lists. In total, the search strategy demonstrated a low level of precision and a high level of recall. Thirty four articles met the criteria of the review and were systematically evaluated using three checklists. The findings were summarized by using a new checklist with nine overall questions regarding the studies' design, methods, findings, and limitations. The studies were categorized as: (i) effect studies; (ii) survey studies; (iii) interview studies; and (iv) case studies. In general, the studies were relatively small scale; they used relatively new and basic methods for data collection and analysis, and rarely included sufficient strategies for identifying confounding factors or how the researchers' preconceptions influenced the analyses. Empirical research of clinical supervision in psychiatric nursing was characterized by a basic lack of agreement about which models and instruments to use. Challenges and recommendations for future research are discussed. Clinical supervision in psychiatric nursing was commonly perceived as a good thing, but there was limited empirical evidence supporting this claim.

Doctoral Supervision in Virtual Spaces: A Review of Research of Web-Based Tools to Develop Collaborative Supervision

ERIC Educational Resources Information Center

Maor, Dorit; Ensor, Jason D.; Fraser, Barry J.

2016-01-01

Supervision of doctoral students needs to be improved to increase completion rates, reduce attrition rates (estimated to be at 25% or more) and improve quality of research. The current literature review aimed to explore the contribution that technology can make to higher degree research supervision. The articles selected included empirical studies…

"Unscrambling what's in your head": A mixed method evaluation of clinical supervision for midwives.

PubMed

Love, Bev; Sidebotham, Mary; Fenwick, Jennifer; Harvey, Susan; Fairbrother, Greg

2017-08-01

As a strategy to promote workforce sustainability a number of midwives working in one health district in New South Wales, Australia were trained to offer a reflective model of clinical supervision. The expectation was that these midwives would then be equipped to facilitate clinical supervision for their colleagues with the organisational aim of supporting professional development and promoting emotional well-being. To identify understanding, uptake, perceptions of impact, and the experiences of midwives accessing clinical supervision. Mixed Methods. In phase one 225 midwives were invited to complete a self-administered survey. Descriptive and inferential statistics were used to analyse the data. In phase two 12 midwives were interviewed. Thematic analysis was used to deepen understanding of midwives' experiences of receiving clinical supervision. Sixty percent of midwives responding in phase one had some experience of clinical supervision. Findings from both phases were complementary with midwives reporting a positive impact on their work, interpersonal skills, situational responses and career goals. Midwives described clinical supervision as a formal, structured and confidential space for 'safe reflection' that was valued as an opportunity for self-care. Barriers included misconceptions, perceived work related pressures and a sense that taking time out was unjustifiable. Education, awareness raising and further research into reflective clinical supervision, to support emotional well-being and professional midwifery practice is needed. In addition, health organisations need to design, implement and evaluate strategies that support the embedding of clinical supervision within midwives' clinical practice. Copyright © 2016 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.

PubMed

Chen, Ke; Wang, Shihai

2011-01-01

Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learning with various strategies. To our knowledge, however, none of them takes all three semi-supervised assumptions, i.e., smoothness, cluster, and manifold assumptions, together into account during boosting learning. In this paper, we propose a novel cost functional consisting of the margin cost on labeled data and the regularization penalty on unlabeled data based on three fundamental semi-supervised assumptions. Thus, minimizing our proposed cost functional with a greedy yet stagewise functional optimization procedure leads to a generic boosting framework for semi-supervised learning. Extensive experiments demonstrate that our algorithm yields favorite results for benchmark and real-world classification tasks in comparison to state-of-the-art semi-supervised learning algorithms, including newly developed boosting algorithms. Finally, we discuss relevant issues and relate our algorithm to the previous work.

Achieving Success in Small Business: A Self-Instruction Program for Small Business Owner-Managers. Improving Employee Selection, Training and Supervision.

ERIC Educational Resources Information Center

Virginia Polytechnic Inst. and State Univ., Blacksburg. Div. of Vocational-Technical Education.

This self-instructional module on improving employee selection, training, and supervision is the tenth in a set of twelve modules designed for small business owner-managers. Competencies for this module are (1) describe the three-step approach to selecting effective employees and (2) describe two of the most important characteristics possessed by…

Age Differences in the Effects of Experimenter-Instructed Versus Self-Generated Strategy Use

PubMed Central

Hertzog, Christopher; Price, Jodi; Dunlosky, John

2013-01-01

Background/Study Context Interactive imagery is superior to rote repetition as an encoding strategy for paired associate (PA) recall. Younger and older individuals often rate these strategies as equally effective before they gain experience using each strategy. The present study investigated how experimenter-supervised and participant-chosen strategy experience affected younger and older adults’ knowledge about the effectiveness of these two strategies. Methods Ninety-nine younger (M = 19.0 years, SD = 1.4) and 90 older adults (M = 70.4 years, SD = 5.2) participated in the experiment. In learning a first PA list participants were either instructed to use imagery or repetition to study specific items (supervised) or could choose their own strategies (unsupervised). All participants were unsupervised on a second PA list to evaluate whether strategy experience affected strategy knowledge, strategy use, and PA recall. Results Both instruction groups learned about the superiority of imagery use through task experience, downgrading repetition ratings and upgrading imagery ratings on the second list. However, older adults showed less knowledge updating than did younger adults. Previously supervised younger adults increased their imagery use, improving PA recall; older adults maintained a higher level of repetition use. Conclusions Older adults update knowledge of the differential effectiveness of the rote and imagery strategies, but to a lesser degree than younger adults. Older adults manifest an inertial tendency to continue using the repetition strategy even though they have learned that it is inferior to interactive imagery. PMID:22224949

The Influence of the Art of Clinical Supervision Program on Nurses' Knowledge and Attitude About Working With Students.

PubMed

Russell, Kylie; Alliex, Selma; Gluyas, Heather

The Art of Clinical Supervision program was developed, implemented, and evaluated to determine nursing staff knowledge of and attitudes toward nursing students and the clinical supervision thereof. A key point of the program was the inclusion of strategies to promote one's attitude toward working with students. A mixed methods approach of surveys, online reflections, and interviews was used to determine the program's effect. The findings highlighted a positive impact on participants' self-knowledge and attitudes toward students and student clinical supervision.

Case-based fracture image retrieval.

PubMed

Zhou, Xin; Stern, Richard; Müller, Henning

2012-05-01

Case-based fracture image retrieval can assist surgeons in decisions regarding new cases by supplying visually similar past cases. This tool may guide fracture fixation and management through comparison of long-term outcomes in similar cases. A fracture image database collected over 10 years at the orthopedic service of the University Hospitals of Geneva was used. This database contains 2,690 fracture cases associated with 43 classes (based on the AO/OTA classification). A case-based retrieval engine was developed and evaluated using retrieval precision as a performance metric. Only cases in the same class as the query case are considered as relevant. The scale-invariant feature transform (SIFT) is used for image analysis. Performance evaluation was computed in terms of mean average precision (MAP) and early precision (P10, P30). Retrieval results produced with the GNU image finding tool (GIFT) were used as a baseline. Two sampling strategies were evaluated. One used a dense 40 × 40 pixel grid sampling, and the second one used the standard SIFT features. Based on dense pixel grid sampling, three unsupervised feature selection strategies were introduced to further improve retrieval performance. With dense pixel grid sampling, the image is divided into 1,600 (40 × 40) square blocks. The goal is to emphasize the salient regions (blocks) and ignore irrelevant regions. Regions are considered as important when a high variance of the visual features is found. The first strategy is to calculate the variance of all descriptors on the global database. The second strategy is to calculate the variance of all descriptors for each case. A third strategy is to perform a thumbnail image clustering in a first step and then to calculate the variance for each cluster. Finally, a fusion between a SIFT-based system and GIFT is performed. A first comparison on the selection of sampling strategies using SIFT features shows that dense sampling using a pixel grid (MAP = 0.18) outperformed the SIFT detector-based sampling approach (MAP = 0.10). In a second step, three unsupervised feature selection strategies were evaluated. A grid parameter search is applied to optimize parameters for feature selection and clustering. Results show that using half of the regions (700 or 800) obtains the best performance for all three strategies. Increasing the number of clusters in clustering can also improve the retrieval performance. The SIFT descriptor variance in each case gave the best indication of saliency for the regions (MAP = 0.23), better than the other two strategies (MAP = 0.20 and 0.21). Combining GIFT (MAP = 0.23) and the best SIFT strategy (MAP = 0.23) produced significantly better results (MAP = 0.27) than each system alone. A case-based fracture retrieval engine was developed and is available for online demonstration. SIFT is used to extract local features, and three feature selection strategies were introduced and evaluated. A baseline using the GIFT system was used to evaluate the salient point-based approaches. Without supervised learning, SIFT-based systems with optimized parameters slightly outperformed the GIFT system. A fusion of the two approaches shows that the information contained in the two approaches is complementary. Supervised learning on the feature space is foreseen as the next step of this study.

The Media Center & the Internet: Selection, Supervision and Staff Development.

ERIC Educational Resources Information Center

Anderson, Mary Alice

1999-01-01

The Internet's unique scope, characteristics and potential make it a vehicle for media specialists to model good use of information technology and provide far-reaching instructional leadership in schools. This article focuses on approaches to Web site selection, supervision, and staff development for effective use of the Internet in schools. (AEF)

7 CFR 1902.7 - Pledging collateral for deposit of funds in supervised bank accounts.

Code of Federal Regulations, 2010 CFR

2010-01-01

... bank accounts. (a) Funds in excess of $100,000 per financial institution, deposited for borrowers in... the loan will be approved and the applicant has selected or tentatively selected a financial institution for the supervised bank account, the Servicing Official will contact the financial institution to...

7 CFR 1902.7 - Pledging collateral for deposit of funds in supervised bank accounts.

Code of Federal Regulations, 2011 CFR

2011-01-01

... bank accounts. (a) Funds in excess of $100,000 per financial institution, deposited for borrowers in... the loan will be approved and the applicant has selected or tentatively selected a financial institution for the supervised bank account, the Servicing Official will contact the financial institution to...

"Kicked out into the real world": prostate cancer patients' experiences with transitioning from hospital-based supervised exercise to unsupervised exercise in the community.

PubMed

Schmidt, Mette L K; Østergren, Peter; Cormie, Prue; Ragle, Anne-Mette; Sønksen, Jens; Midtgaard, Julie

2018-06-21

Regular exercise is recommended to mitigate the adverse effects of androgen deprivation therapy in men with prostate cancer. The purpose of this study was to explore the experience of transition to unsupervised, community-based exercise among men who had participated in a hospital-based supervised exercise programme in order to propose components that supported transition to unsupervised exercise. Participants were selected by means of purposive, criteria-based sampling. Men undergoing androgen deprivation therapy who had completed a 12-week hospital-based, supervised, group exercise intervention were invited to participate. The programme involved aerobic and resistance training using machines and included a structured transition to a community-based fitness centre. Data were collected by means of semi-structured focus group interviews and analysed using thematic analysis. Five focus group interviews were conducted with a total of 29 men, of whom 25 reported to have continued to exercise at community-based facilities. Three thematic categories emerged: Development and practice of new skills; Establishing social relationships; and Familiarising with bodily well-being. These were combined into an overarching theme: From learning to doing. Components suggested to support transition were as follows: a structured transition involving supervised exercise sessions at a community-based facility; strategies to facilitate peer support; transferable tools including an individual exercise chart; and access to 'check-ups' by qualified exercise specialists. Hospital-based, supervised exercise provides a safe learning environment. Transferring to community-based exercise can be experienced as a confrontation with the real world and can be eased through securing a structured transition, having transferable tools, sustained peer support and monitoring.

Clinical Supervision of Interns: Understanding the View of Interns and the Potential of ICT to Deliver Supervision for Safer Patient Care.

PubMed

Yee, Kwang Chien; Madden, Angela; Nash, Rosie; Connolly, Michael

2017-01-01

Clinical communication and clinical supervision of junior healthcare professionals are identified as the two most common preventable factors to reduce medical errors. While multiple strategies have been implemented to improve clinical communication, clinical supervision has not attracted as much attention. This is in part due to the lack of understanding of clinical supervision. Furthermore, there is a lack of exploration of information communication technology (ICT) in assisting the delivery of clinical supervision from the perspective of users (i.e. junior clinicians). This paper presents a study to understand clinical supervision from the perspective of medical and pharmacy interns. The important elements of good clinical supervisors and good clinical supervision have been presented in this paper based on our study. More importantly, our results suggest a distinction between good supervisors and good supervisions. Both these factors impact on patient safety. Through discussion of user requirements of good supervision by users (interns), this paper then explores and presents a conceptual framework to assist in the discussion and design of ICT by healthcare organisations to improve clinical supervision of interns and therefore improve patient safety.

Instructional Supervision and Its Relationship with Professional Development: Perception of Private and Government Secondary School Teachers in Addis Ababa

ERIC Educational Resources Information Center

Tesfaw, T. A.; Hofman, R. H.

2012-01-01

(Purpose) The purpose of this study is to examine the existing perceptions and preferences of teachers toward instructional supervision, more specifically on the actual and ideal use of selected instructional supervisory approaches (such as clinical supervision, peer coaching, cognitive coaching, mentoring, reflective coaching, teaching…

Mentoring, Networking and Supervision: Parallelogram, Vortex, or Merging Point?

ERIC Educational Resources Information Center

Hernandez, Mary N.

1994-01-01

Discussion of recruiting and hiring minorities in academic libraries focuses on steps needed for the retention of these minorities. Highlights include literature search strategies; mentoring systems; networking within and outside the organization; and supervision, including immediate feedback. (Contains 20 references.) (LRW)

Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification

PubMed Central

Wang, Yun; Huang, Fangzhou

2018-01-01

The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated by this, an effective feature selection method, called supervised locally linear embedding and Spearman's rank correlation coefficient (SLLE-SC2), is proposed which is based on the concept of locally linear embedding and correlation coefficient algorithms. Supervised locally linear embedding takes into account class label information and improves the classification performance. Furthermore, Spearman's rank correlation coefficient is used to remove the coexpression genes. The experiment results obtained on four public tumor microarray datasets illustrate that our method is valid and feasible. PMID:29666661

Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification.

PubMed

Xu, Jiucheng; Mu, Huiyu; Wang, Yun; Huang, Fangzhou

2018-01-01

The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated by this, an effective feature selection method, called supervised locally linear embedding and Spearman's rank correlation coefficient (SLLE-SC 2 ), is proposed which is based on the concept of locally linear embedding and correlation coefficient algorithms. Supervised locally linear embedding takes into account class label information and improves the classification performance. Furthermore, Spearman's rank correlation coefficient is used to remove the coexpression genes. The experiment results obtained on four public tumor microarray datasets illustrate that our method is valid and feasible.

Regression discontinuity design in criminal justice evaluation: an introduction and illustration.

PubMed

Rhodes, William; Jalbert, Sarah Kuck

2013-01-01

Corrections agencies frequently place offenders into risk categories, within which offenders receive different levels of supervision and programming. This supervision strategy is seldom evaluated but often can be through routine use of a regression discontinuity design (RDD). This article argues that RDD provides a rigorous and cost-effective method for correctional agencies to evaluate and improve supervision strategies and advocates for using RDD routinely in corrections administration. The objective is to better employ correctional resources. This article uses a Neyman-Pearson counterfactual framework to introduce readers to RDD, to provide intuition for why RDD should be used broadly, and to motivate a deeper reading into the methodology. The article also illustrates an application of RDD to evaluate an intensive supervision program for probationers. Application of the RDD, which requires basic knowledge of regressions and some special diagnostic tools, is within the competencies of many criminal justice evaluators. RDD is shown to be an effective strategy to identify the treatment effect in a community corrections agency using supervision that meets the necessary conditions for RDD. The article concludes with a critical review of how RDD compares to experimental methods to answer policy questions. The article recommends using RDD to evaluate whether differing levels of control and correction reduce criminal recidivism. It also advocates for routine use of RDD as an administrative tool to determine cut points used to assign offenders into different risk categories based on the offenders' risk scores.

Supervised and Unsupervised Self-Testing for HIV in High- and Low-Risk Populations: A Systematic Review

PubMed Central

Pant Pai, Nitika; Sharma, Jigyasa; Shivkumar, Sushmita; Pillay, Sabrina; Vadnais, Caroline; Joseph, Lawrence; Dheda, Keertan; Peeling, Rosanna W.

2013-01-01

Background Stigma, discrimination, lack of privacy, and long waiting times partly explain why six out of ten individuals living with HIV do not access facility-based testing. By circumventing these barriers, self-testing offers potential for more people to know their sero-status. Recent approval of an in-home HIV self test in the US has sparked self-testing initiatives, yet data on acceptability, feasibility, and linkages to care are limited. We systematically reviewed evidence on supervised (self-testing and counselling aided by a health care professional) and unsupervised (performed by self-tester with access to phone/internet counselling) self-testing strategies. Methods and Findings Seven databases (Medline [via PubMed], Biosis, PsycINFO, Cinahl, African Medicus, LILACS, and EMBASE) and conference abstracts of six major HIV/sexually transmitted infections conferences were searched from 1st January 2000–30th October 2012. 1,221 citations were identified and 21 studies included for review. Seven studies evaluated an unsupervised strategy and 14 evaluated a supervised strategy. For both strategies, data on acceptability (range: 74%–96%), preference (range: 61%–91%), and partner self-testing (range: 80%–97%) were high. A high specificity (range: 99.8%–100%) was observed for both strategies, while a lower sensitivity was reported in the unsupervised (range: 92.9%–100%; one study) versus supervised (range: 97.4%–97.9%; three studies) strategy. Regarding feasibility of linkage to counselling and care, 96% (n = 102/106) of individuals testing positive for HIV stated they would seek post-test counselling (unsupervised strategy, one study). No extreme adverse events were noted. The majority of data (n = 11,019/12,402 individuals, 89%) were from high-income settings and 71% (n = 15/21) of studies were cross-sectional in design, thus limiting our analysis. Conclusions Both supervised and unsupervised testing strategies were highly acceptable, preferred, and more likely to result in partner self-testing. However, no studies evaluated post-test linkage with counselling and treatment outcomes and reporting quality was poor. Thus, controlled trials of high quality from diverse settings are warranted to confirm and extend these findings. Please see later in the article for the Editors' Summary PMID:23565066

Evaluating Niger's experience in strengthening supervision, improving availability of child survival drugs through cost recovery, and initiating training for Integrated Management of Childhood Illness (IMCI)

PubMed Central

Tawfik, Youssef M; Legros, Stephane; Geslin, Colette

2001-01-01

Background WHO and UNICEF have recently developed the "Integrated Management of Childhood Illness" (IMCI) as an efficient strategy to assist developing countries reduce childhood mortality. Early experience with IMCI implementation suggests that clinical training is essential but not sufficient for the success of the strategy. Attention needs to be given to strengthening health systems, such as supervision and drug supply. Results This paper presents results of evaluating an innovative approach for implementing IMCI in Niger. It starts with strengthening district level supervision and improving the availability of child survival drugs through cost recovery well before the beginning of IMCI clinical training. The evaluation documented the effectiveness of the initial IMCI clinical training and referral. Conclusions Strengthening supervision and assuring the availability of essential drugs need to precede the initiation of IMCI Clinical training. Longer term follow up is necessary to confirm the impact of the approach on IMCI preparation and implementation. PMID:11504567

Effects of Non-Guidance Activities, Supervision, and Student-to-Counselor Ratios on School Counselor Burnout

ERIC Educational Resources Information Center

Moyer, Michael

2011-01-01

School counselors, like all mental health professionals are at high risk for burnout. High caseloads, job role ambiguity, and lack of supervision increase their propensity for burnout. Three areas were selected for study in this article due to their potential impact on burnout: supervision, student-to-counselor-ratios, and non-guidance related…

Working with Conflict in Clinical Supervision: Wise Supervisors' Perspectives

ERIC Educational Resources Information Center

Nelson, Mary Lee; Barnes, Kristin L.; Evans, Amelia L.; Triggiano, Patrick J.

2008-01-01

Eight female and 4 male supervisors identified by professional peers as highly competent were interviewed about experiences of conflict in supervision and their dependable strategies for managing it. Highly competent supervisors were open to conflict and interpersonal processing, willing to acknowledge shortcomings, developmentally oriented, and…

Intervention Strategies in Counselor Supervision.

ERIC Educational Resources Information Center

West, John; Sonstegard, Manford

This paper contains a model for practicum supervision developed by Dr. Manford Sonstegard. The procedure allows the supervisor, student-counselor, client, and practicum class to participate in the session. Whereas one-way mirrors, audio tapes and audio-visual tapes allow for only delayed feedback from the supervisor, Dr. Sonstegard's approach…

Integrating substance abuse treatment and criminal justice supervision.

PubMed

Marlowe, Douglas B

2003-08-01

Proponents of a pure public safety perspective on the drug problem hold that drug-involved offenders require consistent and intensive supervision by criminal justice authorities in order to stay off drugs and out of trouble. In contrast, proponents of a thoroughgoing public health perspective commonly argue that clients perform better if they are left alone to develop an effective therapeutic alliance with counselors. Both may be correct, but with respect to different groups of offenders. One approach has shown consistent promise for reducing drug use and criminal recidivism: an integrated public health-public safety strategy that combines community-based drug abuse treatment with ongoing criminal justice supervision. This article presents promising findings from programs implementing this strategy and discusses best treatment practices to meet the needs of both low-risk and high-risk clients.

Supervision of Instruction in Vocational Education: Who's Minding the Store?

ERIC Educational Resources Information Center

Gray, Kenneth C.

1990-01-01

Despite the importance of improving instruction through the supervision of teachers, building-level vocational school administrators may be ill-prepared for this role and avoid it. Those who are responsible for providing education for vocational school administrators have done little to address strategies for ensuring teacher effectiveness.…

12 CFR 324.203 - Requirements for application of this subpart F.

Code of Federal Regulations, 2014 CFR

2014-01-01

... defined trading and hedging strategies for its trading positions that are approved by senior management of... FDIC-supervised institution will use to hedge the risk of the portfolio. (b) Management of covered positions—(1) Active management. An FDIC-supervised institution must have clearly defined policies and...

Knowledge with Wisdom in Postgraduate Studies and Supervision: Epistemological and Institutional Concerns and Challenges

ERIC Educational Resources Information Center

Bitzer, E. M.

2011-01-01

Publications about postgraduate studies and the supervision address issues and concerns such as supervisory orientations and strategies, ways to handle postgraduate students, challenging postgraduate education practices, factors related to success in postgraduate studies, the benefits of advanced studies, transition to independent research and…

Cultivating Self-Awareness in Counselors-in-Training through Group Supervision

ERIC Educational Resources Information Center

Del Moro, Ronald R.

2012-01-01

This study investigated processes, strategies, and frameworks that took place during group supervision classes, which best cultivate the self-awareness of Mental Health and Marriage and Family Counselors-in-Training (CITs). It was designed to explore factors across multiple theoretical models, which contributed to the cultivation of self-awareness…

The Invisible Mirror: In-Home Family Therapy and Supervision.

ERIC Educational Resources Information Center

Zarski, John J.; And Others

1991-01-01

Discusses home-based family therapy intervention programs, designed as a preventive strategy for multiproblem, at-risk families in mental health agencies. Maintains that a review of the literature reveals little information on clinical supervision, which is a major component of home-based family intervention. Focuses on providing an alternative…

Baccalaureate nursing students' perceptions of learning and supervision in the clinical environment.

PubMed

Dimitriadou, Maria; Papastavrou, Evridiki; Efstathiou, Georgios; Theodorou, Mamas

2015-06-01

This study is an exploration of nursing students' experiences within the clinical learning environment (CLE) and supervision provided in hospital settings. A total of 357 second-year nurse students from all universities in Cyprus participated in the study. Data were collected using the Clinical Learning Environment, Supervision and Nurse Teacher instrument. The dimension "supervisory relationship (mentor)", as well as the frequency of individualized supervision meetings, were found to be important variables in the students' clinical learning. However, no statistically-significant connection was established between successful mentor relationship and team supervision. The majority of students valued their mentor's supervision more highly than a nurse teacher's supervision toward the fulfillment of learning outcomes. The dimensions "premises of nursing care" and "premises of learning" were highly correlated, indicating that a key component of a quality clinical learning environment is the quality of care delivered. The results suggest the need to modify educational strategies that foster desirable learning for students in response to workplace demands. © 2014 Wiley Publishing Asia Pty Ltd.

Interprofessional supervision in an intercultural context: a qualitative study.

PubMed

Chipchase, Lucy; Allen, Shelley; Eley, Diann; McAllister, Lindy; Strong, Jenny

2012-11-01

Our understanding of the qualities and value of clinical supervision is based on uniprofessional clinical education models. There is little research regarding the role and qualities needed in the supervisor role for supporting interprofessional placements. This paper reports the views and perceptions of medical and allied heath students and supervisors on the characteristics of clinical supervision in an interprofessional, international context. A qualitative case study was used involving semi-structured interviews of eight health professional students and four clinical supervisors before and after an interprofessional, international clinical placement. Our findings suggest that supervision from educators whose profession differs from that of the students can be a beneficial and rewarding experience leading to the use of alternative learning strategies. Although all participants valued interprofessional supervision, there was agreement that profession-specific supervision was required throughout the placement. Further research is required to understand this view as interprofessional education aims to prepare graduates for collaborative practice where they may work in teams supervised by staff whose profession may differ from their own.

Defeating abusive supervision: Training supervisors to support subordinates.

PubMed

Gonzalez-Morales, M Gloria; Kernan, Mary C; Becker, Thomas E; Eisenberger, Robert

2018-04-01

Although much is known about the antecedents and consequences of abusive supervision, scant attention has been paid to investigating procedures to reduce its frequency. We conducted a quasiexperiment to examine the effects of supervisor support training on subordinate perceptions of abusive supervision and supervisor support. Supervisors (n = 23) in 4 restaurants were trained in 4 supportive supervision strategies (benevolence, sincerity, fairness, and experiential processing) during 4 2-hr sessions over a period of 2 months. We compared perceived supervisor support and abusive supervision before and 9 months after training for 208 employees whose supervisors received support training and 241 employees in 4 similar control restaurants. Compared to employees in the control restaurants, employees whose supervisors received the support training reported higher levels of perceived supervisor support and less abusive supervision. These findings suggest that a relatively brief training program can help managers become more supportive and less abusive. Theoretical and practical implications for effectively managing abusive supervision are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition.

PubMed

Zhang, Zhao; Zhao, Mingbo; Chow, Tommy W S

2012-12-01

In this work, sub-manifold projections based semi-supervised dimensionality reduction (DR) problem learning from partial constrained data is discussed. Two semi-supervised DR algorithms termed Marginal Semi-Supervised Sub-Manifold Projections (MS³MP) and orthogonal MS³MP (OMS³MP) are proposed. MS³MP in the singular case is also discussed. We also present the weighted least squares view of MS³MP. Based on specifying the types of neighborhoods with pairwise constraints (PC) and the defined manifold scatters, our methods can preserve the local properties of all points and discriminant structures embedded in the localized PC. The sub-manifolds of different classes can also be separated. In PC guided methods, exploring and selecting the informative constraints is challenging and random constraint subsets significantly affect the performance of algorithms. This paper also introduces an effective technique to select the informative constraints for DR with consistent constraints. The analytic form of the projection axes can be obtained by eigen-decomposition. The connections between this work and other related work are also elaborated. The validity of the proposed constraint selection approach and DR algorithms are evaluated by benchmark problems. Extensive simulations show that our algorithms can deliver promising results over some widely used state-of-the-art semi-supervised DR techniques. Copyright © 2012 Elsevier Ltd. All rights reserved.

[Efficacy of mental health prevention and promotion strategies in higher education].

PubMed

Martineau, Marc; Beauchamp, Guy; Marcotte, Diane

Recent studies inform of increases in reported mental health problems in higher education students worldwide, with suicide and homicide being the most dramatic outcomes. Improving first-hand intervention and implementing mental health prevention and promotion strategies in colleges and universities are amongst the most commonly mentioned means of addressing these concerns. While institutions increasingly favor mental health promotion, most programs have not been properly evaluated and most strategies cannot be replicated. The article analyses results obtained from literature reviews and meta-analysis focusing on mental health prevention and promotion strategies targeting college and university students. Mindfulness, cognitive-behavioral and relaxation strategies, as well as social ability training, appeared to be the most effective if they were practiced under supervision. The implementation of supervised mental health prevention strategies within a setting-based systematic and multifactorial promotion frame could significantly decrease mental health problems in higher education students.

How supportive supervision influences immunization session site practices: a quasi-experimental study in Odisha, India.

PubMed

Panda, Bhuputra; Pati, Sanghamitra; Nallala, Srinivas; Chauhan, Abhimanyu S; Anasuya, Anita; Som, Meena; Zodpey, Sanjay

2015-01-01

Routine immunization (RI) is a key child survival intervention. Ensuring acceptable standards of RI service delivery is critical for optimal outcomes. Accumulated evidences suggest that 'supportive supervision' improves the quality of health care services in general. During 2009-2010, the Government of Odisha and UNICEF jointly piloted this strategy in four districts to improve RI program outcomes. The present study aims to assess the effect of this strategy on improvement of skills and practices at immunization session sites. A quasi-experimental 'post-test only' study design was adopted to compare the opinion and practices of frontline health workers and their supervisors in four intervention districts (IDs) with two control districts (CDs). Altogether, we interviewed 111 supervisor-supervisee (health worker) pairs using semi-structured interview schedules and case vignettes. We also directly observed health workers' practices during immunization sessions at 111 sites. Data were analyzed with SPSS version 16.0. The mean knowledge score of supervisors in CDs was significantly higher than in intervention groups. Variegated responses were obtained on case vignettes. The control group performed better in solving certain hypothetically asked problems, whereas the intervention group scored better in others. Health workers in IDs gave a lower rating to their respective supervisors' knowledge, skill, and frequency of supervision. Logistics and vaccine availability were better in CDs. Notwithstanding other limitations, supportive supervision may not have independent effects on improving the quality of immunization services. Addressing systemic issues, such as the availability of essential logistics, supply chain management, timely indenting, and financial resources, could complement the supportive supervision strategy in improving immunization service delivery.

An Examination of the Opinions and Supervised Occupational Experience Programs of Selected Vocational Agricultural Instructors in the U.S. Staff Study.

ERIC Educational Resources Information Center

Bobbitt, Frank

A study was made of the opinions and programs of a selected group of 77 vocational agriculture instructors to determine the status of supervised occupational experience (SOE) programs among secondary agricultural instructors who had been identified as some of the best in the states surveyed. Of particular interest was the relative role that the…

Integrating Substance Abuse Treatment and Criminal Justice Supervision

PubMed Central

Marlowe, Douglas B.

2003-01-01

Proponents of a pure public safety perspective on the drug problem hold that drug-involved offenders require consistent and intensive supervision by criminal justice authorities in order to stay off drugs and out of trouble. In contrast, proponents of a thoroughgoing public health perspective commonly argue that clients perform better if they are left alone to develop an effective therapeutic alliance with counselors. Both may be correct, but with respect to different groups of offenders. One approach has shown consistent promise for reducing drug use and criminal recidivism: an integrated public health-public safety strategy that combines community-based drug abuse treatment with ongoing criminal justice supervision. This article presents promising findings from programs implementing this strategy and discusses best treatment practices to meet the needs of both low-risk and high-risk clients. PMID:18552716

Electronic Monitoring of Sex Offenders: Identifying Unanticipated Consequences and Implications

ERIC Educational Resources Information Center

Demichele, Matthew; Payne, Brian K.; Button, Deeanna M.

2008-01-01

In recent years, increased legislative attention has been given to strategies to supervise sex offenders in the community. Among other policies, several states have passed laws calling for the use of electronic monitoring technologies to supervise sex offenders in the community. When initially developed, this community-based sanction was designed…

Instructional Supervision: Applying Tools and Concepts. 2nd Edition

ERIC Educational Resources Information Center

Zepeda, Sally J.

2007-01-01

The first edition of this book was highly regarded by both professors and students for its practicality and its: (1) coverage of tools & strategies to help supervisors work effectively with teachers; (2) up-to-date approach to clinical supervision which includes teacher portfolios, action research, peer coaching, and other innovative practices;…

Supervisee Countertransference: A Holistic Supervision Approach

ERIC Educational Resources Information Center

Ponton, Richard F.; Sauerheber, Jill Duba

2014-01-01

Countertransference (CT) has been recognized as a significant variable in the process and outcome of therapy and counseling for over 100 years. A review of the literature suggests that little attention has been devoted to strategies that supervisors can use to address CT in supervision with novice counselors. Informed by models of CT proposed by…

Motivational Interviewing as a Supervision Strategy in Probation: A Randomized Effectiveness Trial

ERIC Educational Resources Information Center

Walters, Scott T.; Vader, Amanda M.; Nguyen, Norma; Harris, T. Robert; Eells, Jennifer

2010-01-01

Motivational interviewing (MI) has been recommended as a supervision style in probation. This project examined the effectiveness of an MI training curriculum on probation officer MI skill and subsequent probationer outcome. Twenty probation officers were randomized to receive MI training, or to a waiting list control, while an additional group of…

Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis.

PubMed

Ozçift, Akin

2011-05-01

Supervised classification algorithms are commonly used in the designing of computer-aided diagnosis systems. In this study, we present a resampling strategy based Random Forests (RF) ensemble classifier to improve diagnosis of cardiac arrhythmia. Random forests is an ensemble classifier that consists of many decision trees and outputs the class that is the mode of the class's output by individual trees. In this way, an RF ensemble classifier performs better than a single tree from classification performance point of view. In general, multiclass datasets having unbalanced distribution of sample sizes are difficult to analyze in terms of class discrimination. Cardiac arrhythmia is such a dataset that has multiple classes with small sample sizes and it is therefore adequate to test our resampling based training strategy. The dataset contains 452 samples in fourteen types of arrhythmias and eleven of these classes have sample sizes less than 15. Our diagnosis strategy consists of two parts: (i) a correlation based feature selection algorithm is used to select relevant features from cardiac arrhythmia dataset. (ii) RF machine learning algorithm is used to evaluate the performance of selected features with and without simple random sampling to evaluate the efficiency of proposed training strategy. The resultant accuracy of the classifier is found to be 90.0% and this is a quite high diagnosis performance for cardiac arrhythmia. Furthermore, three case studies, i.e., thyroid, cardiotocography and audiology, are used to benchmark the effectiveness of the proposed method. The results of experiments demonstrated the efficiency of random sampling strategy in training RF ensemble classification algorithm. Copyright © 2011 Elsevier Ltd. All rights reserved.

Housing and sexual health among street-involved youth.

PubMed

Kumar, Maya M; Nisenbaum, Rosane; Barozzino, Tony; Sgro, Michael; Bonifacio, Herbert J; Maguire, Jonathon L

2015-10-01

Street-involved youth (SIY) carry a disproportionate burden of sexually transmitted diseases (STD). Studies among adults suggest that improving housing stability may be an effective primary prevention strategy for improving sexual health. Housing options available to SIY offer varying degrees of stability and adult supervision. This study investigated whether housing options offering more stability and adult supervision are associated with fewer STD and related risk behaviors among SIY. A cross-sectional study was performed using public health survey and laboratory data collected from Toronto SIY in 2010. Three exposure categories were defined a priori based on housing situation: (1) stable and supervised housing, (2) stable and unsupervised housing, and (3) unstable and unsupervised housing. Multivariate logistic regression was used to test the association between housing category and current or recent STD. Secondary analyses were performed using the following secondary outcomes: blood-borne infection, recent binge-drinking, and recent high-risk sexual behavior. The final analysis included 184 SIY. Of these, 28.8 % had a current or recent STD. Housing situation was stable and supervised for 12.5 %, stable and unsupervised for 46.2 %, and unstable and unsupervised for 41.3 %. Compared to stable and supervised housing, there was no significant association between current or recent STD among stable and unsupervised housing or unstable and unsupervised housing. There was no significant association between housing category and risk of blood-borne infection, binge-drinking, or high-risk sexual behavior. Although we did not demonstrate a significant association between stable and supervised housing and lower STD risk, our incorporation of both housing stability and adult supervision into a priori defined exposure groups may inform future studies of housing-related prevention strategies among SIY. Multi-modal interventions beyond housing alone may also be required to prevent sexual morbidity among these vulnerable youth.

Work stress among newly graduated nurses in relation to workplace and clinical group supervision.

PubMed

Blomberg, Karin; Isaksson, Ann-Kristin; Allvin, Renée; Bisholt, Birgitta; Ewertsson, Mona; Kullén Engström, Agneta; Ohlsson, Ulla; Sundler Johansson, Annelie; Gustafsson, Margareta

2016-01-01

The aim was to investigate occupational stress among newly graduated nurses in relation to the workplace and clinical group supervision. Being a newly graduated nurse is particularly stressful. What remains unclear is whether the workplace and clinical group supervision affect the stress. A cross-sectional comparative study was performed in 2012. Data were collected by means of a numerical scale measuring occupational stress, questions about workplace and clinical group supervision. One hundred and thirteen nurses who had recently graduated from three Swedish universities were included in the study. The stress was high among the newly graduated nurses but it differed significantly between workplaces, surgical departments generating the most stress. Nurses who had received clinical group supervision reported significantly less stress. The stress between workplaces remained significant also when participation in clinical group supervision was taken into account. Newly graduated nurses experience great stress and need support, especially those in surgical departments. Nurses participating in clinical group supervision reported significantly less stress. It is important to develop strategies that help to adapt the work situation so as to give nurses the necessary support. Clinical group supervision should be considered as an option for reducing stress. © 2014 John Wiley & Sons Ltd.

Evaluation of Semi-supervised Learning for Classification of Protein Crystallization Imagery.

PubMed

Sigdel, Madhav; Dinç, İmren; Dinç, Semih; Sigdel, Madhu S; Pusey, Marc L; Aygün, Ramazan S

2014-03-01

In this paper, we investigate the performance of two wrapper methods for semi-supervised learning algorithms for classification of protein crystallization images with limited labeled images. Firstly, we evaluate the performance of semi-supervised approach using self-training with naïve Bayesian (NB) and sequential minimum optimization (SMO) as the base classifiers. The confidence values returned by these classifiers are used to select high confident predictions to be used for self-training. Secondly, we analyze the performance of Yet Another Two Stage Idea (YATSI) semi-supervised learning using NB, SMO, multilayer perceptron (MLP), J48 and random forest (RF) classifiers. These results are compared with the basic supervised learning using the same training sets. We perform our experiments on a dataset consisting of 2250 protein crystallization images for different proportions of training and test data. Our results indicate that NB and SMO using both self-training and YATSI semi-supervised approaches improve accuracies with respect to supervised learning. On the other hand, MLP, J48 and RF perform better using basic supervised learning. Overall, random forest classifier yields the best accuracy with supervised learning for our dataset.

Effect of a School-Based Supervised Tooth Brushing Program In Mexico City: A Cluster Randomized Intervention.

PubMed

Borges-Yáñez, S Aída; Castrejón-Pérez, Roberto Carlos; Camacho, María Esther Irigoyen

Large-scale school-based programs effectively provide health education and preventive strategies. SaludARTE is a school-based program, including supervised tooth brushing, implemented in 51 elementary schools in Mexico City. To assess the three-month efficacy of supervised tooth brushing in reducing dental plaque, gingival inflammation, and bleeding on probing in schoolchildren participating in SaludARTE. This was a pragmatic cluster randomized intervention, with two parallel branches. Four randomly selected schools participating in SaludARTE (n=200) and one control school, which did not participate in the program (CG) (n=50), were assessed. Clusters were not randomly allocated to intervention. The main outcomes were as follows: mean percentage gingival units with no inflammation, dental surfaces with no dental plaque, and gingival margins with no bleeding. The independent variable was supervised tooth brushing at school once a day after a meal. Guardians and children responded to a questionnaire on sociodemographic and oral hygiene practices, and children were examined dentally. Mean percentage differences were compared (baseline and follow-up). A total of 75% of guardians from the intervention group (IG) and 77% from the CG answered the questionnaire. Of these, 89.3% were women, with a mean age of 36.9±8.5 years. No differences in sociodemographic variables were observed between groups, and 151 children from the IG and 35 from the CG were examined at baseline and follow-up. Mean percentage differences for plaque-free surfaces (8.8±28.5%) and healthy gingival units (23.3%±23.2%) were significantly higher in the IG. The school-supervised tooth brushing program is effective in improving oral hygiene and had a greater impact on plaque and gingivitis than on gingival bleeding. It is necessary to reinforce the oral health education component of the program.

Towards a Theoretical Framework for the Use of ICT Strategies for Teaching Practicum Supervision

ERIC Educational Resources Information Center

Mabunda, P. L.

2013-01-01

Teaching Practice is a core component of pre-service or initial teacher education programmes worldwide. The requirements set by the South African Committee on Higher Education effected changes to the coordination and supervision of Teaching Practice. The purpose of this conceptual study was to review and gain insight into the use of various…

A novel non-opioid protocol for medically supervised opioid withdrawal and transition to antagonist treatment.

PubMed

Rudolf, Gregory; Walsh, Jim; Plawman, Abigail; Gianutsos, Paul; Alto, William; Mancl, Lloyd; Rudolf, Vania

2018-01-01

The clinical feasibility of a novel non-opioid and benzodiazepine-free protocol was assessed for the treatment of medically supervised opioid withdrawal and transition to subsequent relapse prevention strategies. A retrospective chart review of DSM-IV diagnosed opioid-dependent patients admitted for inpatient medically supervised withdrawal examined 84 subjects (52 males, 32 females) treated with a 4-day protocol of scheduled tizanidine, hydroxyzine, and gabapentin. Subjects also received ancillary medications as needed, and routine counseling. Primary outcomes were completion of medically supervised withdrawal, and initiation of injectable extended release (ER) naltrexone treatment. Secondary outcomes included the length of hospital stay, Clinical Opiate Withdrawal Scale (COWS) scores, and facilitation to substance use disorder treatment intervention. Ancillary medication use and adverse effects were also assessed. A total of 79 (94%) of subjects completed medically supervised withdrawal. A total of 27 (32%) subjects chose to pursue transition to ER naltrexone, and 24 of the 27 (89%) successfully received the injection prior to hospital discharge. The protocol subjects had a mean length of hospital stay of 3.6 days, and the mean COWS scores was 3.3, 3.4, 2.8, and 2.4 on Day 1, 2, 3, and 4, respectively. Furthermore, 71 (85%) engaged in an inpatient or outpatient substance use disorder (SUD) treatment program following protocol completion. This retrospective chart review suggests the feasibility of a novel protocol for medically supervised opioid withdrawal and transition to relapse prevention strategies, including injectable ER naltrexone. This withdrawal protocol does not utilize opioid agonists or other controlled substances.‬‬‬‬.

Supervised machine learning and active learning in classification of radiology reports.

PubMed

Nguyen, Dung H M; Patrick, Jon D

2014-01-01

This paper presents an automated system for classifying the results of imaging examinations (CT, MRI, positron emission tomography) into reportable and non-reportable cancer cases. This system is part of an industrial-strength processing pipeline built to extract content from radiology reports for use in the Victorian Cancer Registry. In addition to traditional supervised learning methods such as conditional random fields and support vector machines, active learning (AL) approaches were investigated to optimize training production and further improve classification performance. The project involved two pilot sites in Victoria, Australia (Lake Imaging (Ballarat) and Peter MacCallum Cancer Centre (Melbourne)) and, in collaboration with the NSW Central Registry, one pilot site at Westmead Hospital (Sydney). The reportability classifier performance achieved 98.25% sensitivity and 96.14% specificity on the cancer registry's held-out test set. Up to 92% of training data needed for supervised machine learning can be saved by AL. AL is a promising method for optimizing the supervised training production used in classification of radiology reports. When an AL strategy is applied during the data selection process, the cost of manual classification can be reduced significantly. The most important practical application of the reportability classifier is that it can dramatically reduce human effort in identifying relevant reports from the large imaging pool for further investigation of cancer. The classifier is built on a large real-world dataset and can achieve high performance in filtering relevant reports to support cancer registries. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

The impact of work rewards on radiographers' organizational commitment.

PubMed

Akroyd, D; Mulkey, W; Utley-Smith, Q

1995-01-01

Organizational commitment is an affective work outcome that has been used to predict work-related behaviors such as turnover, absenteeism and intent-to-leave. There has been little research in organizational commitment for the allied health professions and no empirical studies in the radiologic sciences. The purpose of this study was to examine the predictive value of selected intrinsic and extrinsic work reward variables--involvement, significance, autonomy, general working conditions, supervision and salary--on staff radiographers' organizational commitment. In this study of 600 full-time staff radiographers in North and South Carolina, supervision (for ages 20-37 years) and involvement (for ages 38-66 years) were significant predictors of organizational commitment. The results of the study indicate that healthcare organizations should provide potential supervisors with managerial training, especially for radiographers who move to supervisory positions based on clinical skills and years of experience. In the long run, such programs are much less expensive than costs associated with replacing employees who leave the organization because of low organizational commitment. Also, management strategies and programs to redesign and enhance job tasks may help maintain or increase organizational commitment.

IMMAN: free software for information theory-based chemometric analysis.

PubMed

Urias, Ricardo W Pino; Barigye, Stephen J; Marrero-Ponce, Yovani; García-Jacas, César R; Valdes-Martiní, José R; Perez-Gimenez, Facundo

2015-05-01

The features and theoretical background of a new and free computational program for chemometric analysis denominated IMMAN (acronym for Information theory-based CheMoMetrics ANalysis) are presented. This is multi-platform software developed in the Java programming language, designed with a remarkably user-friendly graphical interface for the computation of a collection of information-theoretic functions adapted for rank-based unsupervised and supervised feature selection tasks. A total of 20 feature selection parameters are presented, with the unsupervised and supervised frameworks represented by 10 approaches in each case. Several information-theoretic parameters traditionally used as molecular descriptors (MDs) are adapted for use as unsupervised rank-based feature selection methods. On the other hand, a generalization scheme for the previously defined differential Shannon's entropy is discussed, as well as the introduction of Jeffreys information measure for supervised feature selection. Moreover, well-known information-theoretic feature selection parameters, such as information gain, gain ratio, and symmetrical uncertainty are incorporated to the IMMAN software ( http://mobiosd-hub.com/imman-soft/ ), following an equal-interval discretization approach. IMMAN offers data pre-processing functionalities, such as missing values processing, dataset partitioning, and browsing. Moreover, single parameter or ensemble (multi-criteria) ranking options are provided. Consequently, this software is suitable for tasks like dimensionality reduction, feature ranking, as well as comparative diversity analysis of data matrices. Simple examples of applications performed with this program are presented. A comparative study between IMMAN and WEKA feature selection tools using the Arcene dataset was performed, demonstrating similar behavior. In addition, it is revealed that the use of IMMAN unsupervised feature selection methods improves the performance of both IMMAN and WEKA supervised algorithms. Graphic representation for Shannon's distribution of MD calculating software.

Challenges of Supervising Part-Time PhD Students: Towards Student-Centred Practice

ERIC Educational Resources Information Center

Watts, Jacqueline H.

2008-01-01

The supervision of part-time doctoral students is a long-term academic enterprise requiring stamina both on the part of the supervisor and the student. Because of the fractured student identity of the part-time doctoral candidate, who is usually balancing a range of work, study, and family commitments, strategies to support their progress have to…

Critical Action Learning: A Method or Strategy for Peer Supervision of Coaching Practice

ERIC Educational Resources Information Center

Turner, Arthur; Tee, David; Crompton, Sally

2017-01-01

This paper deals with the on-going practice of a critical action learning set who come together to meet their needs for coaching supervision as a group of executive coaches working from, and within, the University sector in South Wales. The reasons for the successes of, and the challenges around, this practice of four years standing have been…

Improving Doctoral Support through Group Supervision: Analysing Face-to-Face and Technology-Mediated Strategies for Nurturing and Sustaining Scholarship

ERIC Educational Resources Information Center

Hutchings, Maggie

2017-01-01

The challenges of the doctoral journey can create social and academic isolation. Student support is normally facilitated through the supervisory team and research training programmes. There is little empirical evidence on the role group supervision and peer learning can play in nurturing and sustaining doctoral scholarship. This article explores…

9 CFR 146.10 - Supervision.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 9 Animals and Animal Products 1 2013-01-01 2013-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... authorize qualified persons as State Inspectors to perform the selecting and testing of participating flocks...

9 CFR 146.10 - Supervision.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 9 Animals and Animal Products 1 2011-01-01 2011-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... authorize qualified persons as State Inspectors to perform the selecting and testing of participating flocks...

9 CFR 146.10 - Supervision.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 9 Animals and Animal Products 1 2014-01-01 2014-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... authorize qualified persons as State Inspectors to perform the selecting and testing of participating flocks...

9 CFR 146.10 - Supervision.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... authorize qualified persons as State Inspectors to perform the selecting and testing of participating flocks...

9 CFR 146.10 - Supervision.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 9 Animals and Animal Products 1 2012-01-01 2012-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... authorize qualified persons as State Inspectors to perform the selecting and testing of participating flocks...

Clinical supervision in the emergency department: a critical incident study

PubMed Central

Kilroy, D A

2006-01-01

Objectives To identify the key features of effective clinical supervision in the emergency department (ED) from the perspectives of enthusiastic consultants and specialist registrars. To highlight the importance of clinical supervision within emergency medicine, and identify obstructions to its occurrence in everyday practice. Methods A critical incident study was undertaken consisting of structured interviews, conducted by telephone or in person, with 18 consultants and higher level trainees selected for their interest in supervision. Results Direct clinical supervision of key practical skills and patient management steps was considered to be of paramount importance in providing quality patient care and significantly enhancing professional confidence. The adequacy of supervision varied depending upon patient presentation. Trainees were concerned with the competence and skills of their supervisor; consultants were concerned with wider systemic constraints upon the provision of adequate supervision to juniors. Conclusions The value of supervision extends to all patient presentations in the ED. The study raised questions concerning the appropriate attitudes and qualifications for supervisors. Protected supervisory time for those with trainees is mandatory, and must be incorporated within ED consultant job planning. PMID:16439737

Evaluation of Semi-supervised Learning for Classification of Protein Crystallization Imagery

PubMed Central

Sigdel, Madhav; Dinç, İmren; Dinç, Semih; Sigdel, Madhu S.; Pusey, Marc L.; Aygün, Ramazan S.

2015-01-01

In this paper, we investigate the performance of two wrapper methods for semi-supervised learning algorithms for classification of protein crystallization images with limited labeled images. Firstly, we evaluate the performance of semi-supervised approach using self-training with naïve Bayesian (NB) and sequential minimum optimization (SMO) as the base classifiers. The confidence values returned by these classifiers are used to select high confident predictions to be used for self-training. Secondly, we analyze the performance of Yet Another Two Stage Idea (YATSI) semi-supervised learning using NB, SMO, multilayer perceptron (MLP), J48 and random forest (RF) classifiers. These results are compared with the basic supervised learning using the same training sets. We perform our experiments on a dataset consisting of 2250 protein crystallization images for different proportions of training and test data. Our results indicate that NB and SMO using both self-training and YATSI semi-supervised approaches improve accuracies with respect to supervised learning. On the other hand, MLP, J48 and RF perform better using basic supervised learning. Overall, random forest classifier yields the best accuracy with supervised learning for our dataset. PMID:25914518

The effects of clinical supervision on supervisees and patients in cognitive-behavioral therapy: a study protocol for a systematic review.

PubMed

Alfonsson, Sven; Spännargård, Åsa; Parling, Thomas; Andersson, Gerhard; Lundgren, Tobias

2017-05-11

Clinical supervision by a senior therapist is a very common practice in psychotherapist training and psychiatric care settings. Though clinical supervision is advocated by most educational and governing institutions, the effects of clinical supervision on the supervisees' competence, e.g., attitudes, behaviors, and skills, as well as on treatment outcomes and other patient variables are debated and largely unknown. Evidence-based practice is advocated in clinical settings but has not yet been fully implemented in educational or clinical training settings. The aim of this systematic review is to synthesize and present the empirical literature regarding effects of clinical supervision in cognitive-behavioral therapy. This study will include a systematic review of the literature to identify studies that have empirically investigated the effects of supervision on supervised psychotherapists and/or the supervisees' patients. A comprehensive search strategy will be conducted to identify published controlled studies indexed in the MEDLINE, EMBASE, PsycINFO, and Cochrane Library databases. Data on supervision outcomes in both psychotherapists and their patients will be extracted, synthesized, and reported. Risk of bias and quality of the included studies will be assessed systematically. This systematic review will rigorously follow established guidelines for systematic reviews in order to summarize and present the evidence base for clinical supervision in cognitive-behavioral therapy and may aid further research and discussion in this area. PROSPERO CRD42016046834.

Public health nurses' supervision of clients in Norway.

PubMed

Tveiten, S; Severinsson, E

2005-09-01

The aim of this study was to explore and describe what public health nurses (PHNs) understand by client supervision and how they perform it. The main principles of the health promotion discourse initiated by the World Health Organization (WHO) over the last 20-30 years are client participation and the view of the client as expert. Supervision is one relevant intervention strategy in the empowerment process, in which these principles play a central role. There is a lack of research pertaining to the intervention models employed by PHNs. Twenty-three transcribed audiotaped dialogues between PHNs and their clients were analysed by means of qualitative content analysis. What the PHNs understand by supervision and how they perform it can be described by three themes: continuity in relationships and reflexivity in the supervision approach, communicating with the client about his/her needs, problems and worries; and the organization of client supervision. The PHNs in this study understand client supervision as communication and relationships with clients on the subject of a healthy lifestyle, child development and coping with everyday life. The PHNs' approach to client supervision seemed to include aspects of empowerment by means of client participation and the view of the client as expert. However, the PHNs themselves had an expert role.

The Effectiveness and Cost of Clinical Supervision for Motivational Interviewing: A Randomized Controlled Trial

PubMed Central

Martino, Steve; Paris, Manuel; Añez, Luis; Nich, Charla; Canning-Ball, Monica; Hunkele, Karen; Olmstead, Todd A.; Carroll, Kathleen M.

2016-01-01

The effectiveness of a competency-based supervision approach called Motivational Interviewing Assessment: Supervisory Tools for Enhancing Proficiency (MIA: STEP) was compared to Supervision-As-Usual (SAU) for increasing clinicians’ motivational interviewing (MI) adherence and competence and client retention and primary substance abstinence in a multisite Hybrid Type 2 effectiveness-implementation randomized controlled trial. Participants were 66 clinicians and 450 clients within one of eleven outpatient substance abuse programs. An independent evaluation of audio recorded supervision sessions indicated that MIA: STEP and SAU were highly and comparably discriminable across sites. While clinicians in both supervision conditions improved their MI performance, clinician supervised with MIA: STEP, compared to those in SAU, showed significantly greater increases in the competency in which they used fundamental and advanced MI strategies when using MI across seven intakes through a 16-week follow-up. There were no retention or substance use differences among the clients seen by clinicians in MIA: STEP or SAU. MIA: STEP was substantially more expensive to deliver than SAU. Innovative alternatives to resource-intensive competency-based supervision approaches such as MIA: STEP are needed to promote the implementation of evidence-based practices. PMID:27431042

Supervisory Behaviors of Cooperating Agricultural Education Teachers

ERIC Educational Resources Information Center

Thobega, Moreetsi; Miller, Greg

2007-01-01

The purpose of this study was to determine the extent to which cooperating agricultural education teachers used selected supervision models. The relationships between maturity characteristics of the cooperating teachers and their choices of a supervision model were also examined. Results showed that cooperating teachers commonly used clinical,…

Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking.

PubMed

Larrañaga, Ana; Bielza, Concha; Pongrácz, Péter; Faragó, Tamás; Bálint, Anna; Larrañaga, Pedro

2015-03-01

Barking is perhaps the most characteristic form of vocalization in dogs; however, very little is known about its role in the intraspecific communication of this species. Besides the obvious need for ethological research, both in the field and in the laboratory, the possible information content of barks can also be explored by computerized acoustic analyses. This study compares four different supervised learning methods (naive Bayes, classification trees, [Formula: see text]-nearest neighbors and logistic regression) combined with three strategies for selecting variables (all variables, filter and wrapper feature subset selections) to classify Mudi dogs by sex, age, context and individual from their barks. The classification accuracy of the models obtained was estimated by means of [Formula: see text]-fold cross-validation. Percentages of correct classifications were 85.13 % for determining sex, 80.25 % for predicting age (recodified as young, adult and old), 55.50 % for classifying contexts (seven situations) and 67.63 % for recognizing individuals (8 dogs), so the results are encouraging. The best-performing method was [Formula: see text]-nearest neighbors following a wrapper feature selection approach. The results for classifying contexts and recognizing individual dogs were better with this method than they were for other approaches reported in the specialized literature. This is the first time that the sex and age of domestic dogs have been predicted with the help of sound analysis. This study shows that dog barks carry ample information regarding the caller's indexical features. Our computerized analysis provides indirect proof that barks may serve as an important source of information for dogs as well.

Ensemble Semi-supervised Frame-work for Brain Magnetic Resonance Imaging Tissue Segmentation.

PubMed

Azmi, Reza; Pishgoo, Boshra; Norozi, Narges; Yeganeh, Samira

2013-04-01

Brain magnetic resonance images (MRIs) tissue segmentation is one of the most important parts of the clinical diagnostic tools. Pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. Supervised segmentation methods lead to high accuracy, but they need a large amount of labeled data, which is hard, expensive, and slow to obtain. Moreover, they cannot use unlabeled data to train classifiers. On the other hand, unsupervised segmentation methods have no prior knowledge and lead to low level of performance. However, semi-supervised learning which uses a few labeled data together with a large amount of unlabeled data causes higher accuracy with less trouble. In this paper, we propose an ensemble semi-supervised frame-work for segmenting of brain magnetic resonance imaging (MRI) tissues that it has been used results of several semi-supervised classifiers simultaneously. Selecting appropriate classifiers has a significant role in the performance of this frame-work. Hence, in this paper, we present two semi-supervised algorithms expectation filtering maximization and MCo_Training that are improved versions of semi-supervised methods expectation maximization and Co_Training and increase segmentation accuracy. Afterward, we use these improved classifiers together with graph-based semi-supervised classifier as components of the ensemble frame-work. Experimental results show that performance of segmentation in this approach is higher than both supervised methods and the individual semi-supervised classifiers.

Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data

PubMed Central

2014-01-01

Background High-throughput omics technologies have enabled the measurement of many genes or metabolites simultaneously. The resulting high dimensional experimental data poses significant challenges to transcriptomics and metabolomics data analysis methods, which may lead to spurious instead of biologically relevant results. One strategy to improve the results is the incorporation of prior biological knowledge in the analysis. This strategy is used to reduce the solution space and/or to focus the analysis on biological meaningful regions. In this article, we review a selection of these methods used in transcriptomics and metabolomics. We combine the reviewed methods in three groups based on the underlying mathematical model: exploratory methods, supervised methods and estimation of the covariance matrix. We discuss which prior knowledge has been used, how it is incorporated and how it modifies the mathematical properties of the underlying methods. PMID:25033193

Issues Supervising Family Violence Cases: Advocacy, Ethical Documentation, and Supervisees' Reactions

ERIC Educational Resources Information Center

McBride, Dawn L.

2010-01-01

Selected clinical and ethical issues associated with providing supervision involving family violence cases are outlined. It is argued that supervisees helping clients with trauma histories require skills beyond learning how to process the trauma with their clients. Advocacy, social action, and coordinating case conferences are some of the…

24 CFR 960.203 - Standards for PHA tenant selection criteria.

Code of Federal Regulations, 2013 CFR

2013-04-01

... to deny admission for illegal drug use or a pattern of illegal drug use by a household member who is... participating in or has successfully completed a supervised drug or alcohol rehabilitation program, or has..., a supervised drug or alcohol rehabilitation program or evidence of otherwise having been...

24 CFR 960.203 - Standards for PHA tenant selection criteria.

Code of Federal Regulations, 2014 CFR

2014-04-01

... to deny admission for illegal drug use or a pattern of illegal drug use by a household member who is... participating in or has successfully completed a supervised drug or alcohol rehabilitation program, or has..., a supervised drug or alcohol rehabilitation program or evidence of otherwise having been...

Genetic and physiological determinants of maternal behavior and lamb survival: implications for low-input sheep management.

PubMed

Dwyer, C M

2008-04-01

The relatively intensive supervision afforded many ewes at lambing time is a barrier to the development of low-input sheep management systems. However, in some flocks, reduction in this level of supervision may initially affect lamb mortality and animal welfare. In this review, possibilities for optimizing behavioral interaction between the ewe and lamb are considered, with the goal of improving lamb survival without the need for high levels of human supervision. At birth, ewes show specific behavioral patterns (e.g., licking or grooming, low-pitched bleats, udder acceptance) that facilitate the transition of the lamb from pre- to postnatal life and that accompany the formation of an exclusive olfactory memory for the lamb. The lamb also performs a specific sequence of behaviors directed toward standing, finding the udder, and sucking. The successful accomplishment of these behavior patterns is vital for the formation of a strong attachment between both partners, and for lamb survival. The expression of maternal behavior in the ewe is affected by her previous maternal experience, by nutrition in pregnancy, by breed, by temperament, and, to some extent, by the behavior of her lamb. The maternal care expressed by a ewe at parturition is indicative of her behavior throughout that lactation and in successive pregnancies, suggesting an underlying basis to maternal care intrinsic to that ewe. Studies with Scottish Blackface and Suffolk ewes show that ewes expressing high levels of maternal care have elevated plasma estradiol in late gestation compared with ewes with poorer maternal care, and that circulating estradiol concentration is correlated with maternal behaviors. Although the genetic basis of maternal behaviors has still to be fully determined, there are possibilities of improving maternal behavior by selection, and a better understanding of the neuroendocrine processes underlying individual differences in maternal behavior may help in developing selection strategies. In addition, selection on lamb behaviors, which show some genetic basis, may also be a route to improve lamb survival. Because behavior of both the ewe and lamb is affected by environmental factors, appropriate management, through pregnancy and at parturition, will enhance the expression of maternal behavior and lamb vigor, and so contribute to improving lamb survival.

A combined Fisher and Laplacian score for feature selection in QSAR based drug design using compounds with known and unknown activities.

PubMed

Valizade Hasanloei, Mohammad Amin; Sheikhpour, Razieh; Sarram, Mehdi Agha; Sheikhpour, Elnaz; Sharifi, Hamdollah

2018-02-01

Quantitative structure-activity relationship (QSAR) is an effective computational technique for drug design that relates the chemical structures of compounds to their biological activities. Feature selection is an important step in QSAR based drug design to select the most relevant descriptors. One of the most popular feature selection methods for classification problems is Fisher score which aim is to minimize the within-class distance and maximize the between-class distance. In this study, the properties of Fisher criterion were extended for QSAR models to define the new distance metrics based on the continuous activity values of compounds with known activities. Then, a semi-supervised feature selection method was proposed based on the combination of Fisher and Laplacian criteria which exploits both compounds with known and unknown activities to select the relevant descriptors. To demonstrate the efficiency of the proposed semi-supervised feature selection method in selecting the relevant descriptors, we applied the method and other feature selection methods on three QSAR data sets such as serine/threonine-protein kinase PLK3 inhibitors, ROCK inhibitors and phenol compounds. The results demonstrated that the QSAR models built on the selected descriptors by the proposed semi-supervised method have better performance than other models. This indicates the efficiency of the proposed method in selecting the relevant descriptors using the compounds with known and unknown activities. The results of this study showed that the compounds with known and unknown activities can be helpful to improve the performance of the combined Fisher and Laplacian based feature selection methods.

A combined Fisher and Laplacian score for feature selection in QSAR based drug design using compounds with known and unknown activities

NASA Astrophysics Data System (ADS)

Valizade Hasanloei, Mohammad Amin; Sheikhpour, Razieh; Sarram, Mehdi Agha; Sheikhpour, Elnaz; Sharifi, Hamdollah

2018-02-01

Quantitative structure-activity relationship (QSAR) is an effective computational technique for drug design that relates the chemical structures of compounds to their biological activities. Feature selection is an important step in QSAR based drug design to select the most relevant descriptors. One of the most popular feature selection methods for classification problems is Fisher score which aim is to minimize the within-class distance and maximize the between-class distance. In this study, the properties of Fisher criterion were extended for QSAR models to define the new distance metrics based on the continuous activity values of compounds with known activities. Then, a semi-supervised feature selection method was proposed based on the combination of Fisher and Laplacian criteria which exploits both compounds with known and unknown activities to select the relevant descriptors. To demonstrate the efficiency of the proposed semi-supervised feature selection method in selecting the relevant descriptors, we applied the method and other feature selection methods on three QSAR data sets such as serine/threonine-protein kinase PLK3 inhibitors, ROCK inhibitors and phenol compounds. The results demonstrated that the QSAR models built on the selected descriptors by the proposed semi-supervised method have better performance than other models. This indicates the efficiency of the proposed method in selecting the relevant descriptors using the compounds with known and unknown activities. The results of this study showed that the compounds with known and unknown activities can be helpful to improve the performance of the combined Fisher and Laplacian based feature selection methods.

Factors influencing knowledge on completion of treatment among TB patients under directly observed treatment strategy, in selected health facilities in Embu County, Kenya.

PubMed

Ndwiga, Joshua Muriuki; Kikuvi, Gideon; Omolo, Jared Odhiambo

2016-01-01

The World Health Organization (WHO) promotes the Directly Observed Treatment (DOT) strategy as the standard to increase adherence to Tuberculosis (TB) medication. However, cases of retreatment and Multi Drug Resistant continue to be reported in many parts of Kenya. This study sought to determine the factors influencing the completion of tuberculosis medication among TB patients in Embu County, Kenya. A descriptive cross-sectional study was conducted on a population of tuberculosis patients under DOT attending selected TB treatment clinics in Embu County, in Kenya. One hundred and forty TB patients interviewed within a period of 3 months. Data were analyzed using SPSS version 17.0 and included Bivariate and Multivariate Analysis. The level of significance was p≤ 0.05. The male and female participants were 61.4% and 38.6% respectively. The mean age of the respondents was 35±31.34-39.3 years. For the majority (52%) of the participants, the highest level of education was primary education. The unemployed participants formed the highest number of the respondent in the study (73%). The majorities (91.4%0) of the respondents were under the home-based DOT strategy (91.4%, 95% C.I: 85.5-95.5). Bivariate analysis using Chi-square showed that the level of education (p=0.003), patients feeling uncomfortable during supervision (p=0.01), and knowledge regarding the frequency of taking medication (p=0.004) were all significantly associated with knowledge regarding the importance of completion of medication. However, none of these factors was significant after multivariate analysis. Most participants did not know the importance of completion of medication. TB programs should come up with better ways to educate TB patients on the importance of supervision and treatment completion during the treatment of TB. The education programs should focus on influencing the attitudes of patients and creating awareness about the importance of treatment completion. The TB programs should be designed towards eliminating the factors influencing the completion of TB medication.

Human resources and access to maternal health care.

PubMed

ten Hoope-Bender, P; Liljestrand, J; MacDonagh, S

2006-09-01

The lack of human resources is one of the main bottlenecks to achieving the Millennium Development Goals on maternal and child health. A coherent national policy, recognized across government, needs to be in place to overcome this especially in countries severely affected by HIV/AIDS. Such a policy should cover selection of pre-service students, the qualifications of trainers and training sites, supportive supervision, career path development, a package of carefully thought-out incentives for the retention of staff, strategies for interaction with communities, and an agreed-upon health staff HIV/AIDS policy. Without such coherent human resource planning, a large number of countries will fail to reduce maternal and newborn mortality.

BEST PRACTICE IN INDIVIDUAL SUPERVISION OF PSYCHOLOGISTS WORKING IN THE FRENCH CAPEDP PREVENTIVE PERINATAL HOME-VISITING PROGRAM: RESULTS OF A DELPHI CONSENSUS PROCESS.

PubMed

Greacen, Tim; Welniarz, Bertrand; Purper-Ouakil, Diane; Wendland, Jaqueline; Dugravier, Romain; Saïas, Thomas; Tereno, Susana; Tubach, Florence; Haddad, Alain; Guedeney, Antoine

2017-03-01

Individual supervision of home-visiting professionals has proved to be a key element for perinatal home-visiting programs. Although studies have been published concerning quality criteria for supervision in North American contexts, little is known about this subject in other national settings. In the context of the CAPEDP program (Compétences parentales et Attachement dans la Petite Enfance: Diminution des risques liés aux troubles de santé mentale et Promotion de la résilience; Parental Skills and Attachment in Early Childhood: Reducing Mental Health Risks and Promoting Resilience), the first randomized controlled perinatal mental health promotion research program to take place in France, this article describes the results of a study using the Delphi consensus method to identify the program supervisors' points of view concerning best practice for the individual supervision of home visitors involved in such programs. The final 18 recommendations could be grouped into four general themes: the organization and setting of supervision sessions; supervisor competencies; relationship between supervisor and supervisee; and supervisor intervention strategies within the supervision process. The quality criteria identified in this perinatal home-visiting program in the French cultural context underline the importance of clinical supervision and not just reflective supervision when working with families with multiple, highly complex needs. © 2017 Michigan Association for Infant Mental Health.

Ensemble Semi-supervised Frame-work for Brain Magnetic Resonance Imaging Tissue Segmentation

PubMed Central

Azmi, Reza; Pishgoo, Boshra; Norozi, Narges; Yeganeh, Samira

2013-01-01

Brain magnetic resonance images (MRIs) tissue segmentation is one of the most important parts of the clinical diagnostic tools. Pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. Supervised segmentation methods lead to high accuracy, but they need a large amount of labeled data, which is hard, expensive, and slow to obtain. Moreover, they cannot use unlabeled data to train classifiers. On the other hand, unsupervised segmentation methods have no prior knowledge and lead to low level of performance. However, semi-supervised learning which uses a few labeled data together with a large amount of unlabeled data causes higher accuracy with less trouble. In this paper, we propose an ensemble semi-supervised frame-work for segmenting of brain magnetic resonance imaging (MRI) tissues that it has been used results of several semi-supervised classifiers simultaneously. Selecting appropriate classifiers has a significant role in the performance of this frame-work. Hence, in this paper, we present two semi-supervised algorithms expectation filtering maximization and MCo_Training that are improved versions of semi-supervised methods expectation maximization and Co_Training and increase segmentation accuracy. Afterward, we use these improved classifiers together with graph-based semi-supervised classifier as components of the ensemble frame-work. Experimental results show that performance of segmentation in this approach is higher than both supervised methods and the individual semi-supervised classifiers. PMID:24098863

Semi-supervised learning for ordinal Kernel Discriminant Analysis.

PubMed

Pérez-Ortiz, M; Gutiérrez, P A; Carbonero-Ruz, M; Hervás-Martínez, C

2016-12-01

Ordinal classification considers those classification problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or difficult to obtain in this type of problems because, in many cases, ordinal labels are given by a user or expert (e.g. in recommendation systems). Firstly, this paper develops a new strategy for ordinal classification where both labelled and unlabelled data are used in the model construction step (a scheme which is referred to as semi-supervised learning). More specifically, the ordinal version of kernel discriminant learning is extended for this setting considering the neighbourhood information of unlabelled data, which is proposed to be computed in the feature space induced by the kernel function. Secondly, a new method for semi-supervised kernel learning is devised in the context of ordinal classification, which is combined with our developed classification strategy to optimise the kernel parameters. The experiments conducted compare 6 different approaches for semi-supervised learning in the context of ordinal classification in a battery of 30 datasets, showing (1) the good synergy of the ordinal version of discriminant analysis and the use of unlabelled data and (2) the advantage of computing distances in the feature space induced by the kernel function. Copyright © 2016 Elsevier Ltd. All rights reserved.

Teaching community program clinicians motivational interviewing using expert and train-the-trainer strategies.

PubMed

Martino, Steve; Ball, Samuel A; Nich, Charla; Canning-Ball, Monica; Rounsaville, Bruce J; Carroll, Kathleen M

2011-02-01

The effectiveness of expert-led (EX) and train-the-trainer (TT) strategies was compared to a self-study approach (SS) for teaching clinicians motivational interviewing (MI). Twelve community treatment programs were assigned randomly to the three conditions. EX and TT conditions used skill-building workshops and three monthly supervision sessions guided by treatment integrity ratings, performance feedback and coaching techniques. Trainers in TT were first trained and certified in MI and then prepared carefully to deliver the workshops and supervise MI at their programs. Clinicians in SS only received the training materials. Licensed out-patient and residential addiction and mental health treatment programs in the US state of Connecticut were involved in the study. Ninety-two clinicians who provided addiction treatment within these programs and had limited experience with MI participated in the study. Primary outcomes were the clinicians' MI adherence and competence and the percentage of clinicians meeting clinical trial standards of MI performance. Assessments occurred at baseline, post-workshop, post-supervision and at 12-week follow-up. The study found EX and TT, in comparison to SS, improved clinicians' adherence and competence significantly, with higher percentages of clinicians reaching clinical trial standards of MI performance and few differences between EX and TT. This study supports the combined use of workshops and supervision to teach community program clinicians MI and suggests the train-the-trainer approach may be a feasible and effective strategy for disseminating empirically supported treatments. © 2010 The Authors, Addiction © 2010 Society for the Study of Addiction.

Experiences of Master's Students Regarding Clinical Supervision in an Applied Psychology Programme in South Africa

ERIC Educational Resources Information Center

Nel, Lindi; Fouche, Paul

2017-01-01

This study explored and described the experiences regarding clinical supervision of master's students in professional psychology programmes in South Africa. Four participants were purposively selected from four different universities. The participants engaged in reflective writings and in-depth interviews over a one-year span. Data were analysed…

Accuracy of un-supervised versus provider-supervised self-administered HIV testing in Uganda: A randomized implementation trial.

PubMed

Asiimwe, Stephen; Oloya, James; Song, Xiao; Whalen, Christopher C

2014-12-01

Unsupervised HIV self-testing (HST) has potential to increase knowledge of HIV status; however, its accuracy is unknown. To estimate the accuracy of unsupervised HST in field settings in Uganda, we performed a non-blinded, randomized controlled, non-inferiority trial of unsupervised compared with supervised HST among selected high HIV risk fisherfolk (22.1 % HIV Prevalence) in three fishing villages in Uganda between July and September 2013. The study enrolled 246 participants and randomized them in a 1:1 ratio to unsupervised HST or provider-supervised HST. In an intent-to-treat analysis, the HST sensitivity was 90 % in the unsupervised arm and 100 % among the provider-supervised, yielding a difference 0f -10 % (90 % CI -21, 1 %); non-inferiority was not shown. In a per protocol analysis, the difference in sensitivity was -5.6 % (90 % CI -14.4, 3.3 %) and did show non-inferiority. We conclude that unsupervised HST is feasible in rural Africa and may be non-inferior to provider-supervised HST.

Examining the Effects of Intensive Supervision and Aftercare Programs for At-Risk Youth: A Systematic Review and Meta-Analysis.

PubMed

Bouchard, Jessica; Wong, Jennifer S

2018-05-01

Community correctional sentences are administered to more juvenile offenders in North America than any other judicial sentence. Particularly prominent in juvenile corrections is intensive supervision probation and aftercare/reentry, yet the effects of these supervision-oriented interventions on recidivism are mixed. The purpose of this meta-analysis is to determine the effects of intensive supervision probation and aftercare/reentry on juvenile recidivism. An extensive search of the literature and application of strict inclusion criteria resulted in the selection of 27 studies that contributed 55 individual effect sizes. Studies were pooled based on intervention type (intensive supervision probation or aftercare/reentry) and outcome measure (alleged or convicted offenses). The pooled analyses yielded contradictory results with respect to outcome measure; in both cases, supervision had a beneficial effect on alleged offenses and negatively affected convicted offenses. These patterns across intervention type and outcome measure, as well as recommendations for future research, are discussed.

Strategies for Teaching Internet Ethics.

ERIC Educational Resources Information Center

Rader, Martha H.

2002-01-01

Ten strategies for teaching Internet ethics are as follows: establish acceptable use policy; communicate ethical codes; model behaviors and values; encourage discussion of ethical issues; reinforce ethical conduct; monitor student behavior; secure systems and software; discourage surfing without supervision; monitor e-mail and websites; and…

Establish Best Practices for Supervision of Instructors

DTIC Science & Technology

2012-09-01

633. Christen, W. L., & Murphy, T. J. (1987). Inservice training and peer evaluation: An integrated program for faculty development. NASSP...describes the current state of instructional supervision in Special Operations Forces (SOF) initial acquisition training (IAT) language schools. This...leadership and Command Language Program Managers (CLPMs) related to selection, training , and resourcing. Finally, specific recommendations are provided for

Teachers' Perceptions of Teacher Supervision and Evaluation: A Reflection of School Improvement Practices in the Age of Reform

ERIC Educational Resources Information Center

Mette, Ian M.; Range, Bret G.; Anderson, Jason; Hvidston, David J.; Nieuwenhuizen, Lisa

2015-01-01

This study examined how principals in eight high-functioning elementary schools provide teacher supervision and evaluation to promote high levels of student achievement. Perceptions of teachers were measured to provide an understanding of which specific principal behaviors translated into better instructional practices within the selected schools.…

A systematic review of evidence relating to clinical supervision for nurses, midwives and allied health professionals.

PubMed

Pollock, Alex; Campbell, Pauline; Deery, Ruth; Fleming, Mick; Rankin, Jean; Sloan, Graham; Cheyne, Helen

2017-08-01

The aim of this study was to systematically review evidence relating to clinical supervision for nurses, midwives and allied health professionals. Since 1902 statutory supervision has been a requirement for UK midwives, but this is due to change. Evidence relating to clinical supervision for nurses and allied health professions could inform a new model of clinical supervision for midwives. A systematic review with a contingent design, comprising a broad map of research relating to clinical supervision and two focussed syntheses answering specific review questions. Electronic databases were searched from 2005 - September 2015, limited to English-language peer-reviewed publications. Systematic reviews evaluating the effectiveness of clinical supervision were included in Synthesis 1. Primary research studies including a description of a clinical supervision intervention were included in Synthesis 2. Quality of reviews were judged using a risk of bias tool and review results summarized in tables. Data describing the key components of clinical supervision interventions were extracted from studies included in Synthesis 2, categorized using a reporting framework and a narrative account provided. Ten reviews were included in Synthesis 1; these demonstrated an absence of convincing empirical evidence and lack of agreement over the nature of clinical supervision. Nineteen primary studies were included in Synthesis 2; these highlighted a lack of consistency and large variations between delivered interventions. Despite insufficient evidence to directly inform the selection and implementation of a framework, the limited available evidence can inform the design of a new model of clinical supervision for UK-based midwives. © 2017 John Wiley & Sons Ltd.

Self-supervised ARTMAP.

PubMed

Amis, Gregory P; Carpenter, Gail A

2010-03-01

Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semi-supervised learning). In each case input patterns have a fixed number of features throughout training and testing. Human and machine learning contexts present additional opportunities for expanding incomplete knowledge from formal training, via self-directed learning that incorporates features not previously experienced. This article defines a new self-supervised learning paradigm to address these richer learning contexts, introducing a neural network called self-supervised ARTMAP. Self-supervised learning integrates knowledge from a teacher (labeled patterns with some features), knowledge from the environment (unlabeled patterns with more features), and knowledge from internal model activation (self-labeled patterns). Self-supervised ARTMAP learns about novel features from unlabeled patterns without destroying partial knowledge previously acquired from labeled patterns. A category selection function bases system predictions on known features, and distributed network activation scales unlabeled learning to prediction confidence. Slow distributed learning on unlabeled patterns focuses on novel features and confident predictions, defining classification boundaries that were ambiguous in the labeled patterns. Self-supervised ARTMAP improves test accuracy on illustrative low-dimensional problems and on high-dimensional benchmarks. Model code and benchmark data are available from: http://techlab.eu.edu/SSART/. Copyright 2009 Elsevier Ltd. All rights reserved.

Sparse representation-based image restoration via nonlocal supervised coding

NASA Astrophysics Data System (ADS)

Li, Ao; Chen, Deyun; Sun, Guanglu; Lin, Kezheng

2016-10-01

Sparse representation (SR) and nonlocal technique (NLT) have shown great potential in low-level image processing. However, due to the degradation of the observed image, SR and NLT may not be accurate enough to obtain a faithful restoration results when they are used independently. To improve the performance, in this paper, a nonlocal supervised coding strategy-based NLT for image restoration is proposed. The novel method has three main contributions. First, to exploit the useful nonlocal patches, a nonnegative sparse representation is introduced, whose coefficients can be utilized as the supervised weights among patches. Second, a novel objective function is proposed, which integrated the supervised weights learning and the nonlocal sparse coding to guarantee a more promising solution. Finally, to make the minimization tractable and convergence, a numerical scheme based on iterative shrinkage thresholding is developed to solve the above underdetermined inverse problem. The extensive experiments validate the effectiveness of the proposed method.

The influence of supervision on manual adherence and therapeutic processes.

PubMed

Anderson, Timothy; Crowley, Mary Ellen J; Patterson, Candace L; Heckman, Bernadette D

2012-09-01

To identify the effectiveness of psychotherapy supervision on therapists' immediate (next session) and long-term (1 year) adherence to time-limited dynamic psychotherapy (TLDP). Sixteen therapists from the Vanderbilt II psychotherapy project were assigned new cases in pretraining, training, and booster/posttraining year-long cohorts. Technical adherence to the manual, as well as general therapeutic relational processes, were rated for clinical supervisory sessions in which the third therapy session was discussed. The therapy sessions immediately before and after the supervisory sessions were also rated for technical adherence and relational processes. Postsupervision adherence increased from the presupervision session during the training cohort. In supervision, therapists' discussion of techniques and strategies from the manual in supervision was significantly related to technical adherence in the session prior to (but not after) supervision. However, supervisors' discussion of specific techniques predicted therapists' total technical adherence in the therapy session after (but not before) supervision. In terms of the type of techniques, supervisors' influenced postsupervision therapy adherence on TLDP's unique approach to formulation, the cyclical maladaptive pattern, but did not influence technical adherence on the therapeutic relationship. In supervision, therapists tend to focus on how they adhered to techniques from the previous session, whereas supervisors' comments about specific techniques predicted how the therapist would adhere to techniques in the next therapy session. The findings provide support for the immediate effects of supervision in shaping therapist techniques as well as highlighting the challenges of altering common relational processes through technical training. © 2012 Wiley Periodicals, Inc.

Semi-supervised classification tool for DubaiSat-2 multispectral imagery

NASA Astrophysics Data System (ADS)

Al-Mansoori, Saeed

2015-10-01

This paper addresses a semi-supervised classification tool based on a pixel-based approach of the multi-spectral satellite imagery. There are not many studies demonstrating such algorithm for the multispectral images, especially when the image consists of 4 bands (Red, Green, Blue and Near Infrared) as in DubaiSat-2 satellite images. The proposed approach utilizes both unsupervised and supervised classification schemes sequentially to identify four classes in the image, namely, water bodies, vegetation, land (developed and undeveloped areas) and paved areas (i.e. roads). The unsupervised classification concept is applied to identify two classes; water bodies and vegetation, based on a well-known index that uses the distinct wavelengths of visible and near-infrared sunlight that is absorbed and reflected by the plants to identify the classes; this index parameter is called "Normalized Difference Vegetation Index (NDVI)". Afterward, the supervised classification is performed by selecting training homogenous samples for roads and land areas. Here, a precise selection of training samples plays a vital role in the classification accuracy. Post classification is finally performed to enhance the classification accuracy, where the classified image is sieved, clumped and filtered before producing final output. Overall, the supervised classification approach produced higher accuracy than the unsupervised method. This paper shows some current preliminary research results which point out the effectiveness of the proposed technique in a virtual perspective.

New graduate transition to practice: how can the literature inform support strategies?

PubMed

Moores, Alis; Fitzgerald, Cate

2017-07-01

Objective The transition to practice for new graduate health professionals has been identified as challenging, with health services typically adopting a range of support and management strategies to assist safe professional practice. Queensland's state-wide Occupational Therapy Clinical Education Program supporting new graduates within public sector health facilities conducted a narrative literature review to identify evidence-based recommended actions that would assist new graduate occupational therapists' to transition from student to practitioner. Method Searches of Medline, CINAHL and PubMed databases were used to locate articles describing or evaluating occupational therapy new graduate support actions. Results The themes of supervision, support and education emerged from the literature. Additionally, four interactions were identified as factors potentially influencing and being influenced by the processes and outcomes of supervision, support and education actions. The interactions identified were professional reasoning, professional identity, an active approach to learning and reflective practice. Conclusions The interactions emerging from the literature will serve to inform the delivery and focus of supervision, support and education for new graduate occupational therapists as they transition to practice. The results may have application for other health professions. What is known about the topic? The transition to practice for new graduate occupational therapists has been reported as challenging with health services implementing various actions to support and assist this transition. A previous literature review of recommended support strategies could not be found providing an impetus for this enquiry. What does this paper add? This narrative literature review identified three themes of actions supporting the transition of new graduates from student to practitioner. In addition to these themes of supervision, support and education, also emerging from the literature were factors identified as important to facilitating the transition of new graduates to the workplace. These factors, or interactions, are identified in this paper as professional reasoning, professional identity, an active approach to learning, and reflective practice. It is proposed that these interactions have an effect on and can be effected by supervision, support and education actions. The articulation between the interactions and the themes was a notable outcome emerging from this literature review. What are the implications for practitioners? This literature review will assist those planning actions to guide new graduates' transition into practice. It is proposed that the methods of implementing supervision, support and education actions are optimised by the identified interactions.

Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

NASA Astrophysics Data System (ADS)

Rougier, Simon; Puissant, Anne; Stumpf, André; Lachiche, Nicolas

2016-09-01

Vegetation monitoring is becoming a major issue in the urban environment due to the services they procure and necessitates an accurate and up to date mapping. Very High Resolution satellite images enable a detailed mapping of the urban tree and herbaceous vegetation. Several supervised classifications with statistical learning techniques have provided good results for the detection of urban vegetation but necessitate a large amount of training data. In this context, this study proposes to investigate the performances of different sampling strategies in order to reduce the number of examples needed. Two windows based active learning algorithms from state-of-art are compared to a classical stratified random sampling and a third combining active learning and stratified strategies is proposed. The efficiency of these strategies is evaluated on two medium size French cities, Strasbourg and Rennes, associated to different datasets. Results demonstrate that classical stratified random sampling can in some cases be just as effective as active learning methods and that it should be used more frequently to evaluate new active learning methods. Moreover, the active learning strategies proposed in this work enables to reduce the computational runtime by selecting multiple windows at each iteration without increasing the number of windows needed.

Acquiring and refining CBT skills and competencies: which training methods are perceived to be most effective?

PubMed

Bennett-Levy, James; McManus, Freda; Westling, Bengt E; Fennell, Melanie

2009-10-01

A theoretical and empirical base for CBT training and supervision has started to emerge. Increasingly sophisticated maps of CBT therapist competencies have recently been developed, and there is evidence that CBT training and supervision can produce enhancement of CBT skills. However, the evidence base suggesting which specific training techniques are most effective for the development of CBT competencies is lacking. This paper addresses the question: What training or supervision methods are perceived by experienced therapists to be most effective for training CBT competencies? 120 experienced CBT therapists rated which training or supervision methods in their experience had been most effective in enhancing different types of therapy-relevant knowledge or skills. In line with the main prediction, it was found that different training methods were perceived to be differentially effective. For instance, reading, lectures/talks and modelling were perceived to be most useful for the acquisition of declarative knowledge, while enactive learning strategies (role-play, self-experiential work), together with modelling and reflective practice, were perceived to be most effective in enhancing procedural skills. Self-experiential work and reflective practice were seen as particularly helpful in improving reflective capability and interpersonal skills. The study provides a framework for thinking about the acquisition and refinement of therapist skills that may help trainers, supervisors and clinicians target their learning objectives with the most effective training strategies.

Whatever It Takes: How Beginning Teachers Learn to Survive

ERIC Educational Resources Information Center

Le Maistre, Cathrine; Pare, Anthony

2010-01-01

Reports of high attrition rates among beginning teachers suggest that new practitioners need help to develop coping strategies, preferably while they are still teacher candidates under the supervision of experienced teachers. Defining teaching as an ill-defined problem, where beginners have a limited repertoire of problem-solving strategies, this…

Active learning reduces annotation time for clinical concept extraction.

PubMed

Kholghi, Mahnoosh; Sitbon, Laurianne; Zuccon, Guido; Nguyen, Anthony

2017-10-01

To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating the manual annotation process compared to de novo annotation. There are 73 and 120 discharge summary reports provided by Beth Israel institute in the train and test sets of the concept extraction task in the i2b2/VA 2010 challenge, respectively. The 73 reports were used in user study experiments for manual annotation. First, all sequences within the 73 reports were manually annotated from scratch. Next, active learning models were built to generate pre-annotations for the sequences selected by a query strategy. The annotation/reviewing time per sequence was recorded. The 120 test reports were used to measure the effectiveness of the active learning models. When annotating from scratch, active learning reduced the annotation time up to 35% and 28% compared to a fully supervised approach and a random sampling baseline, respectively. Reviewing active learning-assisted pre-annotations resulted in 20% further reduction of the annotation time when compared to de novo annotation. The number of concepts that require manual annotation is a good indicator of the annotation time for various active learning approaches as demonstrated by high correlation between time rate and concept annotation rate. Active learning has a key role in reducing the time required to manually annotate domain concepts from clinical free text, either when annotating from scratch or reviewing active learning-assisted pre-annotations. Copyright © 2017 Elsevier B.V. All rights reserved.

Progressive Entrustment to Achieve Resident Autonomy in the Operating Room: A National Qualitative Study With General Surgery Faculty and Residents.

PubMed

Sandhu, Gurjit; Magas, Christopher P; Robinson, Adina B; Scally, Christopher P; Minter, Rebecca M

2017-06-01

The purpose of this study was to identify behaviors that faculty and residents exhibit during intraoperative interactions, which support or inhibit progressive entrustment leading to operative autonomy. In the operating room, a critical balance is sought between direct faculty supervision and appropriate increase in resident autonomy with indirect faculty supervision. Little is known regarding perspectives of faculty and residents about how attendings increasingly step back and safely delegate autonomy to trainees. Understanding the context in which these decisions are made is critical to achieving a safe strategy for imparting progressive responsibility. A qualitative study was undertaken from January 2014 to February 2015. Semistructured interviews were conducted with 37 faculty and 59 residents from 14 and 41 institutions, respectively. Participants were selected using stratified random sampling from general surgery residency programs across the United States to represent a range of university, university-affiliated, and community programs, and geographic regions. Audio recordings of interviews were transcribed, iteratively analyzed, and emergent themes identified. Six themes were identified as influencing progressive entrustment in the operating room: optimizing faculty intraoperative feedback; policies and regulations affecting role of resident in the operating room; flexible faculty teaching strategies; context-specific variables; leadership opportunities for resident in the case; and safe struggle for resident when appropriate. Perspectives of faculty and residents while overlapping were different in emphasis. Better understanding faculty-resident interactions, individual behaviors, contextual influences, and national regulations that influence intraoperative education have the potential to significantly affect progressive entrustment in training paradigms.

How Supervisor Experience Influences Trust, Supervision, and Trainee Learning: A Qualitative Study.

PubMed

Sheu, Leslie; Kogan, Jennifer R; Hauer, Karen E

2017-09-01

Appropriate trust and supervision facilitate trainees' growth toward unsupervised practice. The authors investigated how supervisor experience influences trust, supervision, and subsequently trainee learning. In a two-phase qualitative inductive content analysis, phase one entailed reviewing 44 internal medicine resident and attending supervisor interviews from two institutions (July 2013 to September 2014) for themes on how supervisor experience influences trust and supervision. Three supervisor exemplars (early, developing, experienced) were developed and shared in phase two focus groups at a single institution, wherein 23 trainees validated the exemplars and discussed how each impacted learning (November 2015). Phase one: Four domains of trust and supervision varying with experience emerged: data, approach, perspective, clinical. Early supervisors were detail oriented and determined trust depending on task completion (data), were rule based (approach), drew on their experiences as trainees to guide supervision (perspective), and felt less confident clinically compared with more experienced supervisors (clinical). Experienced supervisors determined trust holistically (data), checked key aspects of patient care selectively and covertly (approach), reflected on individual experiences supervising (perspective), and felt comfortable managing clinical problems and gauging trainee abilities (clinical). Phase two: Trainees felt the exemplars reflected their experiences, described their preferences and learning needs shifting over time, and emphasized the importance of supervisor flexibility to match their learning needs. With experience, supervisors differ in their approach to trust and supervision. Supervisors need to trust themselves before being able to trust others. Trainees perceive these differences and seek supervision approaches that align with their learning needs.

Fatigue level estimation of monetary bills based on frequency band acoustic signals with feature selection by supervised SOM

NASA Astrophysics Data System (ADS)

Teranishi, Masaru; Omatu, Sigeru; Kosaka, Toshihisa

Fatigued monetary bills adversely affect the daily operation of automated teller machines (ATMs). In order to make the classification of fatigued bills more efficient, the development of an automatic fatigued monetary bill classification method is desirable. We propose a new method by which to estimate the fatigue level of monetary bills from the feature-selected frequency band acoustic energy pattern of banking machines. By using a supervised self-organizing map (SOM), we effectively estimate the fatigue level using only the feature-selected frequency band acoustic energy pattern. Furthermore, the feature-selected frequency band acoustic energy pattern improves the estimation accuracy of the fatigue level of monetary bills by adding frequency domain information to the acoustic energy pattern. The experimental results with real monetary bill samples reveal the effectiveness of the proposed method.

Maintaining capacity for in-practice teaching and supervision of students and general practice trainees: a cross-sectional study of early career general practitioners.

PubMed

Catzikiris, Nigel; Tapley, Amanda; Morgan, Simon; Holliday, Elizabeth G; Ball, Jean; Henderson, Kim; Elliott, Taryn; Spike, Neil; Regan, Cathy; Magin, Parker

2017-08-10

Objectives Expanding learner cohorts of medical students and general practitioner (GP) vocational trainees and the impending retirement of the 'baby boomer' GP cohort threaten the teaching and supervisory capacity of the Australian GP workforce. Engaging newly qualified GPs is essential to sustaining this workforce training capacity. The aim of the present study was to establish the prevalence and associations of in-practice clinical teaching and supervision in early career GPs. Methods The present study was a cross-sectional questionnaire-based study of recent (within 5 years) alumni of three of Australia's 17 regional general practice training programs. The outcome factor was whether the alumnus taught or supervised medical students, GP registrars or other learners in their current practice. Logistic regression analysis was used to establish associations of teaching and supervision with independent variables comprising alumnus demographics, current practice characteristics and vocational training experiences. Results In all, 230 alumni returned questionnaires (response rate 37.4%). Of currently practising alumni, 52.4% (95% confidence interval (CI) 45.6-59.0%) reported current teaching or supervisory activities. Factors significantly (P<0.05) associated with alumni currently undertaking in-practice clinical teaching and supervision were: Australian medical graduation (odds ratio (OR) for international graduates 0.36; 95% CI 0.14-0.92), working in a regional or remote area (OR 2.75; 95% CI 1.24-6.11) and currently undertaking nursing home visits, home visits or after-hours work (OR 2.01; CI 1.02-3.94). Conclusions Rural-urban and country-of-graduation differences in the engagement of early career GPs in practice-based apprenticeship-like teaching or training should inform strategies to maintain workforce training capacity. What is known about the topic? Projected changes in the demand for and supply of clinical teaching and supervision within Australian general practice will require greater uptake of teaching and supervision by recently qualified GPs to ensure sustainability of this teaching model. Although interest in and undertaking of teaching roles have been documented for GP or family medicine trainees, studies investigating the engagement in these clinical roles by GPs during their early post-training period are lacking. What does this paper add? This paper is the first to document the prevalence of teaching and supervision undertaken by early career GPs as part of their regular clinical practice. We also demonstrate associations of practice rurality, country of medical graduation and undertaking non-practice-based clinical roles with GPs' engagement in teaching and supervisory roles. What are the implications for practitioners? Establishing current teaching patterns of GPs enables appropriate targeting of new strategies to sustain an effective teaching and supervisory capacity within general practice. The findings of the present study suggest that exploring focused strategies to facilitate and support international medical graduates to engage in teaching during their vocational training, aided by focused supervisor support, may be of particular value.

A qualitative inquiry into the challenges and complexities of research supervision: viewpoints of postgraduate students and faculty members.

PubMed

Yousefi, Alireza; Bazrafkan, Leila; Yamani, Nikoo

2015-07-01

The supervision of academic theses at the Universities of Medical Sciences is one of the most important issues with several challenges. The aim of the present study is to discover the nature of problems and challenges of thesis supervision in Iranian universities of medical sciences. The study was conducted with a qualitative method using conventional content analysis approach. Nineteen faculty members, using purposive sampling, and 11 postgraduate medical sciences students (Ph.D students and residents) were selected on the basis of theoretical sampling. The data were gathered through semi-structured interviews and field observations in Shiraz and Isfahan universities of medical sciences from September 2012 to December 2014. The qualitative content analysis was used with a conventional approach to analyze the data. While experiencing the nature of research supervision process, faculties and the students faced some complexities and challenges in the research supervision process. The obtained codes were categorized under 4 themes Based on the characteristics; included "contextual problem", "role ambiguity in thesis supervision", "poor reflection in supervision" and "ethical problems". The result of this study revealed that there is a need for more attention to planning and defining the supervisory, and research supervision. Also, improvement of the quality of supervisor and students relationship must be considered behind the research context improvement in research supervisory area.

Abusive supervision, leader-member exchange and moral disengagement: a moderated-mediation model of organizational deviance.

PubMed

Valle, Matthew; Kacmar, K Michele; Zivnuska, Suzanne; Harting, Troy

2018-04-20

This paper draws from social exchange theory and social cognitive theory to explore moral disengagement as a potential mediator of the relationship between abusive supervision and organizational deviance. We also explore the moderating effect of leader-member exchange (LMX) on this mediated relationship. Results indicate that employees with abusive supervisors engaged in moral disengagement strategies and subsequently in organizational deviance behaviors. Additionally, this relationship was stronger for those higher in LMX. Important implications for management research and practice are discussed.

Nursing clinical supervision project in a Neonatal Intensive Care and a Special Care Baby Unit: a best practice implementation project.

PubMed

Johansson, Diana

2015-04-17

Clinical supervision is a process of guided reflective practice and is used in the areas of mental health and palliative care. However, within the Neonatal Intensive Care Unit setting, stressful situations may also arise, with no policies for nurses in regards to participation in clinical supervision. With critical incidents, complex family issues and loss of nursing expertise, clinical supervision could be a potential solution to this dilemma. The aims of the project were to investigate if any hospital policies supported clinical supervision. Specifically, the aims were: (i) to conduct an audit of nurses' knowledge on the topic of clinical supervision, (ii) to investigate if nurses were aware of, or had been involved in, any clinical supervision activities conducted in a Neonatal Intensive Care Unit or a Special Care Baby Unit, and (iii) to investigate if records are maintained of any clinical supervision activities held. A three-phase approach was initiated for this project: a baseline audit, implementation of education sessions, and a follow-up audit using the Joanna Briggs Institute Practical Application of Clinical Evidence System and Getting Research into Practice programs. The Neonatal Intensive Care Unit and Special Care Baby Unit have approximately 180 registered nurses working in the units where the project was conducted. The baseline audit included 37 nurses by convenience sampling and the follow-up audit included nine of these nurses. No policy on clinical supervision has been developed to support nurses in the Neonatal Intensive Care Unit and Special Care Baby Unit. The baseline audit found that nurses described clinical supervision as educational and task orientated, and did not equate clinical supervision with a process that could be also described as "guided reflective practice". Following the education sessions, there was a better understanding of what clinical supervision entailed and the benefits that could lead to improved professional practice, but there were no activities in which nurses could engage in this process. Implementation of a pilot project to test the evidence of clinical supervision in the Neonatal Intensive Care and Special Care Baby speciality units should be undertaken with strategies to assess the effectiveness of clinical supervision and the positive aspects that have been reported in the literature. The Joanna Briggs Institute.

Human exploration and settlement of Mars - The roles of humans and robots

NASA Technical Reports Server (NTRS)

Duke, Michael B.

1991-01-01

The scientific objectives and strategies for human settlement on Mars are examined in the context of the Space Exploration Initiative (SEI). An integrated strategy for humans and robots in the exploration and settlement of Mars is examined. Such an effort would feature robotic, telerobotic, and human-supervised robotic phases.

Postgraduate Research Supervision at a Distance: A Review of Challenges and Strategies

ERIC Educational Resources Information Center

Nasiri, Fuzhan; Mafakheri, Fereshteh

2015-01-01

This article reviews the literature on supervisory elements in distance postgraduate research programmes leading to a master's or doctoral degree. The authors first identify and review the main supervisory challenges from the perspectives of both supervisor and supervisee. This paves the path to investigate and categorise the strategies that have…

Diet quality and physical activity outcome improvements resulting from a church-based diet and supervised physical activity intervention for rural, southern, Africian American adults: Delta Body and Soul III

USDA-ARS?s Scientific Manuscript database

We assessed the effects of a 6-month, church¬-based, diet and supervised physical activity intervention, conducted between 2011 and ¬2012, on improving diet quality and increasing physical activity of southern, African American adults. Using a quasi¬-experimental design, 8 self-selected, eligible c...

Distributed multi-level supervision to effectively monitor the operations of a fleet of autonomous vehicles in agricultural tasks.

PubMed

Conesa-Muñoz, Jesús; Gonzalez-de-Soto, Mariano; Gonzalez-de-Santos, Pablo; Ribeiro, Angela

2015-03-05

This paper describes a supervisor system for monitoring the operation of automated agricultural vehicles. The system analyses all of the information provided by the sensors and subsystems on the vehicles in real time and notifies the user when a failure or potentially dangerous situation is detected. In some situations, it is even able to execute a neutralising protocol to remedy the failure. The system is based on a distributed and multi-level architecture that divides the supervision into different subsystems, allowing for better management of the detection and repair of failures. The proposed supervision system was developed to perform well in several scenarios, such as spraying canopy treatments against insects and diseases and selective weed treatments, by either spraying herbicide or burning pests with a mechanical-thermal actuator. Results are presented for selective weed treatment by the spraying of herbicide. The system successfully supervised the task; it detected failures such as service disruptions, incorrect working speeds, incorrect implement states, and potential collisions. Moreover, the system was able to prevent collisions between vehicles by taking action to avoid intersecting trajectories. The results show that the proposed system is a highly useful tool for managing fleets of autonomous vehicles. In particular, it can be used to manage agricultural vehicles during treatment operations.

Distributed Multi-Level Supervision to Effectively Monitor the Operations of a Fleet of Autonomous Vehicles in Agricultural Tasks

PubMed Central

Conesa-Muñoz, Jesús; Gonzalez-de-Soto, Mariano; Gonzalez-de-Santos, Pablo; Ribeiro, Angela

2015-01-01

This paper describes a supervisor system for monitoring the operation of automated agricultural vehicles. The system analyses all of the information provided by the sensors and subsystems on the vehicles in real time and notifies the user when a failure or potentially dangerous situation is detected. In some situations, it is even able to execute a neutralising protocol to remedy the failure. The system is based on a distributed and multi-level architecture that divides the supervision into different subsystems, allowing for better management of the detection and repair of failures. The proposed supervision system was developed to perform well in several scenarios, such as spraying canopy treatments against insects and diseases and selective weed treatments, by either spraying herbicide or burning pests with a mechanical-thermal actuator. Results are presented for selective weed treatment by the spraying of herbicide. The system successfully supervised the task; it detected failures such as service disruptions, incorrect working speeds, incorrect implement states, and potential collisions. Moreover, the system was able to prevent collisions between vehicles by taking action to avoid intersecting trajectories. The results show that the proposed system is a highly useful tool for managing fleets of autonomous vehicles. In particular, it can be used to manage agricultural vehicles during treatment operations. PMID:25751079

Providing effective supervision in clinical neuropsychology.

PubMed

Stucky, Kirk J; Bush, Shane; Donders, Jacobus

2010-01-01

A specialty like clinical neuropsychology is shaped by its selection of trainees, educational standards, expected competencies, and the structure of its training programs. The development of individual competency in this specialty is dependent to a considerable degree on the provision of competent supervision to its trainees. In clinical neuropsychology, as in other areas of professional health-service psychology, supervision is the most frequently used method for teaching a variety of skills, including assessment, report writing, differential diagnosis, and treatment. Although much has been written about the provision of quality supervision in clinical and counseling psychology, very little published guidance is available regarding the teaching and provision of supervision in clinical neuropsychology. The primary focus of this article is to provide a framework and guidance for the development of suggested competency standards for training of neuropsychological supervisors, particularly at the residency level. In this paper we outline important components of supervision for neuropsychology trainees and suggest ways in which clinicians can prepare for supervisory roles. Similar to Falender and Shafranske (2004), we propose a competency-based approach to supervision that advocates for a science-informed, formalized, and objective process that clearly delineates the competencies required for good supervisory practice. As much as possible, supervisory competencies are related to foundational and functional competencies in professional psychology, as well as recent legislative initiatives mandating training in supervision. It is our hope that this article will foster further discussion regarding this complex topic, and eventually enhance training in clinical neuropsychology.

Impact of movement training on upper limb motor strategies in persons with shoulder impingement syndrome

PubMed Central

Roy, Jean-Sébastien; Moffet, Hélène; McFadyen, Bradford J; Lirette, Richard

2009-01-01

Background Movement deficits, such as changes in the magnitude of scapulohumeral and scapulathoracic muscle activations or perturbations in the kinematics of the glenohumeral, sternoclavicular and scapulothoracic joints, have been observed in people with shoulder impingement syndrome. Movement training has been suggested as a mean to contribute to the improvement of the motor performance in persons with musculoskeletal impairments. However, the impact of movement training on the movement deficits of persons with shoulder impingement syndrome is still unknown. The aim of this study was to evaluate the short-term effects of supervised movement training with feedback on the motor strategies of persons with shoulder impingement syndrome. Methods Thirty-three subjects with shoulder impingement were recruited. They were involved in two visits, one day apart. During the first visit, supervised movement training with feedback was performed. The upper limb motor strategies were evaluated before, during, immediately after and 24 hours after movement training. They were characterized during reaching movements in the frontal plane by EMG activity of seven shoulder muscles and total excursion and final position of the wrist, elbow, shoulder, clavicle and trunk. Movement training consisted of reaching movements performed under the supervision of a physiotherapist who gave feedback aimed at restoring shoulder movements. One-way repeated measures ANOVAs were run to analyze the effect of movement training. Results During, immediately after and 24 hours after movement training with feedback, the EMG activity was significantly decreased compared to the baseline level. For the kinematics, total joint excursion of the trunk and final joint position of the trunk, shoulder and clavicle were significantly improved during and immediately after training compared to baseline. Twenty-four hours after supervised movement training, the kinematics of trunk, shoulder and clavicle were back to the baseline level. Conclusion Movement training with feedback brought changes in motor strategies and improved temporarily some aspects of the kinematics. However, one training session was not enough to bring permanent improvement in the kinematic patterns. These results demonstrate the potential of movement training in the rehabilitation of movement deficits associated with shoulder impingement syndrome. PMID:19445724

Exploring Factors Affecting Undergraduate Medical Students' Study Strategies in the Clinical Years: A Qualitative Study

ERIC Educational Resources Information Center

Al Kadri, Hanan M. F.; Al-Moamary, Mohamed S.; Elzubair, Margaret; Magzoub, Mohi Eldien; AlMutairi, Abdulrahman; Roberts, Christopher; van der Vleuten, Cees

2011-01-01

The aim of this study is to explore the effects of clinical supervision, and assessment characteristics on the study strategies used by undergraduate medical students during their clinical rotations. We conducted a qualitative phenomenological study at King Saud Bin Abdulaziz University for Health Sciences, College of Medicine, Riyadh, Saudi…

Development of Strategies for the Preservation of School Counselor Preparation Programs: A Monograph.

ERIC Educational Resources Information Center

Cecil, Jean Houchins; Comas, Robert E.

A project dealing with strategies to preserve school counselor preparation programs, evolving from the work of the Southern Association for Counselor Education and Supervision (SACES) Round Table of Department Heads, is described. Factors involved in what SACES believes may be the demise of school counseling, at least as it is known presently, are…

Empowering Youth Work Supervisors with Action Research Strategies

ERIC Educational Resources Information Center

Herman, Margo

2012-01-01

Supervising youth workers is a challenging, demanding job in a complex field. Too frequently youth workers get mired in reacting to the everyday crises that dominate their work, finding it difficult to rise above the daily demands to reach a place where reflection can help guide their work. Strategies based in action research can empower youth…

The effects of pre-processing strategies in sentiment analysis of online movie reviews

NASA Astrophysics Data System (ADS)

Zin, Harnani Mat; Mustapha, Norwati; Murad, Masrah Azrifah Azmi; Sharef, Nurfadhlina Mohd

2017-10-01

With the ever increasing of internet applications and social networking sites, people nowadays can easily express their feelings towards any products and services. These online reviews act as an important source for further analysis and improved decision making. These reviews are mostly unstructured by nature and thus, need processing like sentiment analysis and classification to provide a meaningful information for future uses. In text analysis tasks, the appropriate selection of words/features will have a huge impact on the effectiveness of the classifier. Thus, this paper explores the effect of the pre-processing strategies in the sentiment analysis of online movie reviews. In this paper, supervised machine learning method was used to classify the reviews. The support vector machine (SVM) with linear and non-linear kernel has been considered as classifier for the classification of the reviews. The performance of the classifier is critically examined based on the results of precision, recall, f-measure, and accuracy. Two different features representations were used which are term frequency and term frequency-inverse document frequency. Results show that the pre-processing strategies give a significant impact on the classification process.

Is there a way for clinical teachers to assist struggling learners? A synthetic review of the literature

PubMed Central

Boileau, Elisabeth; St-Onge, Christina; Audétat, Marie-Claude

2017-01-01

Struggling medical trainees pose a challenge to clinical teachers, since these learners warrant closer supervision that is time-consuming and competes with time spent on patient care. Clinical teachers’ perception that they are ill equipped to address learners’ difficulties efficiently may lead to delays or even lack of remediation for these learners. Because of the paucity of evidence to guide best practices in remediation, the best approach to guide clinical teachers in the field remains to be established. We aimed to present a synthetic review of the empirical evidence and theory that may guide clinical teachers in their daily task of supervising struggling learners, reviewing current knowledge on the challenges and solutions that have been identified and explored. A computerized literature search was performed using Medline, Embase, Education Resources Information Center, and Education Source, after which final articles were selected based on relevance. The literature reviewed provided best evidence for clinical teachers to address learners’ difficulties, which is presented in the order of the four steps inherent to the clinical approach: 1) detecting a problem based on a subjective impression, 2) gathering and documenting objective data, 3) assessing data to make a diagnosis, and 4) planning remediation. A synthesized classification of pedagogical diagnoses is also presented. This review provides an outline of practical recommendations regarding the supervision and management of struggling learners up to the remediation phase. Our findings suggest that future research and faculty development endeavors should aim to operationalize remediation strategies further in response to specific diagnoses, and to make these processes more accessible to clinical teachers in the field. PMID:28176916

Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

PubMed

Wu, Haizhou; Zhou, Yongquan; Luo, Qifang; Basset, Mohamed Abdel

2016-01-01

Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a challenging task to present a satisfactory and efficient training algorithm for feedforward neural networks (FNNs). In this paper, SOS is employed as a new method for training FNNs. To investigate the performance of the aforementioned method, eight different datasets selected from the UCI machine learning repository are employed for experiment and the results are compared among seven metaheuristic algorithms. The results show that SOS performs better than other algorithms for training FNNs in terms of converging speed. It is also proven that an FNN trained by the method of SOS has better accuracy than most algorithms compared.

Supervision of community health workers in Mozambique: a qualitative study of factors influencing motivation and programme implementation.

PubMed

Ndima, Sozinho Daniel; Sidat, Mohsin; Give, Celso; Ormel, Hermen; Kok, Maryse Catelijne; Taegtmeyer, Miriam

2015-09-01

Community health workers (CHWs) in Mozambique (known as Agentes Polivalentes Elementares (APEs)) are key actors in providing health services in rural communities. Supervision of CHWs has been shown to improve their work, although details of how it is implemented are scarce. In Mozambique, APE supervision structures and scope of work are clearly outlined in policy and rely on supervisors at the health facility of reference. The aim of this study was to understand how and which aspects of supervision impact on APE motivation and programme implementation. Qualitative research methodologies were used. Twenty-nine in-depth interviews were conducted to capture experiences and perceptions of purposefully selected participants. These included APEs, health facility supervisors, district APE supervisors and community leaders. Interviews were recorded, translated and transcribed, prior to the development of a thematic framework. Supervision was structured as dictated by policy but in practice was irregular and infrequent, which participants identified as affecting APE's motivation. When it did occur, supervision was felt to focus more on fault-finding than being supportive in nature and did not address all areas of APE's work - factors that APEs identified as demotivating. Supervisors, in turn, felt unsupported and felt this negatively impacted performance. They had a high workload in health facilities, where they had multiple roles, including provision of health services, taking care of administrative issues and supervising APEs in communities. A lack of resources for supervision activities was identified, and supervisors felt caught up in administrative issues around APE allowances that they were unable to solve. Many supervisors were not trained in providing supportive supervision. Community governance and accountability mechanisms were only partially able to fill the gaps left by the supervision provided by the health system. The findings indicate the need for an improved supervision system to enhance support and motivation and ultimately performance of APEs. Our study found disconnections between the APE programme policy and its implementation, with gaps in skills, training and support of supervisors leading to sub-optimal supervision. Improved methods of supervision could be implemented including those that maximize the opportunities during face-to-face meetings and through community-monitoring mechanisms.

Challenges for Better thesis supervision.

PubMed

Ghadirian, Laleh; Sayarifard, Azadeh; Majdzadeh, Reza; Rajabi, Fatemeh; Yunesian, Masoud

2014-01-01

Conduction of thesis by the students is one of their major academic activities. Thesis quality and acquired experiences are highly dependent on the supervision. Our study is aimed at identifing the challenges in thesis supervision from both students and faculty members point of view. This study was conducted using individual in-depth interviews and Focus Group Discussions (FGD). The participants were 43 students and faculty members selected by purposive sampling. It was carried out in Tehran University of Medical Sciences in 2012. Data analysis was done concurrently with data gathering using content analysis method. Our data analysis resulted in 162 codes, 17 subcategories and 4 major categories, "supervisory knowledge and skills", "atmosphere", "bylaws and regulations relating to supervision" and "monitoring and evaluation". This study showed that more attention and planning in needed for modifying related rules and regulations, qualitative and quantitative improvement in mentorship training, research atmosphere improvement and effective monitoring and evaluation in supervisory area.

Challenges for Better thesis supervision

PubMed Central

Ghadirian, Laleh; Sayarifard, Azadeh; Majdzadeh, Reza; Rajabi, Fatemeh; Yunesian, Masoud

2014-01-01

Background: Conduction of thesis by the students is one of their major academic activities. Thesis quality and acquired experiences are highly dependent on the supervision. Our study is aimed at identifing the challenges in thesis supervision from both students and faculty members point of view. Methods: This study was conducted using individual in-depth interviews and Focus Group Discussions (FGD). The participants were 43 students and faculty members selected by purposive sampling. It was carried out in Tehran University of Medical Sciences in 2012. Data analysis was done concurrently with data gathering using content analysis method. Results: Our data analysis resulted in 162 codes, 17 subcategories and 4 major categories, "supervisory knowledge and skills", "atmosphere", "bylaws and regulations relating to supervision" and "monitoring and evaluation". Conclusion: This study showed that more attention and planning in needed for modifying related rules and regulations, qualitative and quantitative improvement in mentorship training, research atmosphere improvement and effective monitoring and evaluation in supervisory area. PMID:25250273

The perceptions of nurses in a district health system in KwaZulu-Natal of their supervision, self-esteem and job satisfaction.

PubMed

Uys, L R; Minnaar, A; Reid, S; Naidoo, J R

2004-05-01

Supervision has been identified as a major issue in quality of care. Although increasing attention is being given to supervision in the District Health System, there have been no studies describing the current situation. This article describes a survey done in two health districts in KwaZulu-Natal involving 319 nurses from all types of government health care settings. This was a quantitative descriptive study that described the current supervision, job satisfaction and self-esteem in two (2) health districts, that is the Ugu and the uThukela health districts. The three variables were described using a mailed questionnaire. A total 319 nurses participated in this study. The majority of the nurses (53%) felt that positive supervision behaviours listed in a rating scale, occurred never or seldom. The average self-esteem score was very positive (83%), and the average job satisfaction score was 60%. Nurses were most satisfied with the factor reflecting "personal satisfaction about their contribution to the work" (72%) and the least satisfaction with the factor that has to do with "pay and prospects" (50%). While there was no relationship between any of the demographic variables and supervision, there was a low but significant relationship between supervision and job-satisfaction. A significant relationship was also found between the personal satisfaction factor of job satisfaction and self-esteem. As nurses form the backbone of the health services, it is incumbent that health service managers safeguard the nursing workforce. Targeted strategies are necessary to ensure retention of the nurses for the health care of the South African population.

What influences availability of medicines for the community management of childhood illnesses in central Uganda? Implications for scaling up the integrated community case management programme.

PubMed

Bagonza, James; Rutebemberwa, Elizeus; Eckmanns, Tim; Ekirapa-Kiracho, Elizabeth

2015-11-25

The integrated Community Case Management (iCCM) of childhood illnesses strategy has been adopted world over to reduce child related ill health and mortality. Community Health workers (CHWs) who implement this strategy need a regular supply of drugs to effectively treat children under 5 years with malaria, pneumonia and diarrhea. In this paper, we report the prevalence and factors influencing availability of medicines for managing malaria, pneumonia and diarrhea in communities in central Uganda. A cross sectional study was conducted among 303 CHWs in Wakiso district in central Uganda. Eligible CHWs from two randomly selected Health Sub Districts (HSDs) were interviewed. Questionnaires, check lists, record reviews were used to collect information on CHW background characteristics, CHW's prescription behaviors, health system support factors and availability of iCCM drugs. Multivariable logistic regression analysis was done to assess factors associated with availability of iCCM drugs. Out of 300 CHWs, 239 (79.9%) were females and mean age was 42.1 (standard deviation =11.1 years). The prevalence of iCCM drug availability was 8.3% and 33 respondents (11%) had no drugs at all. Factors associated with iCCM drug availability were; being supervised within the last month (adjusted OR = 3.70, 95% CI 1.22-11.24), appropriate drug prescriptions (adjusted OR = 3.71, 95% CI 1.38-9.96), regular submission of drug reports (adjusted OR = 4.02, 95% CI 1.62-10.10) and having a respiratory timer as a diagnostic tool (adjusted OR =3.11, 95% CI 1.08-9.00). The low medicine stocks for the community management of childhood illnesses calls for strengthening of CHW supervision, medicine prescription and reporting, and increasing availability of functional diagnostic tools.

The association of health and voluntary early retirement pension and the modifying effect of quality of supervision: Results from a Danish register-based follow-up study.

PubMed

Wind, Astrid de; Burr, Hermann; Pohrt, Anne; Hasselhorn, Hans Martin; Van der Beek, Allard Johan; Rugulies, Reiner

2017-07-01

The aims of this article are to (1) determine whether and to what extent general perceived health and quality of supervision predict voluntary early retirement pension (VERP) and (2) assess whether quality of supervision modifies the association between general perceived health and VERP. Employees aged 49-64 years who participated in the Danish Work Environment Cohort Study in 2000 were selected. Their questionnaire data about health and work were linked to register data on social transfer payments, among others VERP, from 2001 to 2012 in the Danish Register for Evaluation of Marginalization ( N=1167). Cox proportional hazards analyses were performed to identify the prospective association of general perceived health and quality of supervision on VERP. Relative excess risks due to interaction (RERIs) were calculated to assess whether quality of supervision modified the association between health and VERP. Employees with poor health at baseline had an increased risk of VERP during follow-up (hazard ratio [HR]=1.23; 95% confidence interval [CI] 1.02-1.49). Quality of supervision at baseline was not associated to VERP during follow-up (HR=1.04; 95% CI 0.90-1.21). There was no statistically significant interaction of poor health and poor quality of supervision with regard to risk of VERP (RERI=-0.33; 95% CI -1.79 to 1.14). This study did not support the notion that quality of supervision buffers the association between poor health and VERP. Future research is needed to determine whether other aspects of supervision, for example supervisors' opportunities to effectuate workplace adjustments, may modify the association of poor health and VERP.

The association of health and voluntary early retirement pension and the modifying effect of quality of supervision: Results from a Danish register-based follow-up study

PubMed Central

de Wind, Astrid; Burr, Hermann; Pohrt, Anne; Hasselhorn, Hans Martin; Van der Beek, Allard Johan; Rugulies, Reiner

2017-01-01

Objectives: The aims of this article are to (1) determine whether and to what extent general perceived health and quality of supervision predict voluntary early retirement pension (VERP) and (2) assess whether quality of supervision modifies the association between general perceived health and VERP. Methods: Employees aged 49–64 years who participated in the Danish Work Environment Cohort Study in 2000 were selected. Their questionnaire data about health and work were linked to register data on social transfer payments, among others VERP, from 2001 to 2012 in the Danish Register for Evaluation of Marginalization (N=1167). Cox proportional hazards analyses were performed to identify the prospective association of general perceived health and quality of supervision on VERP. Relative excess risks due to interaction (RERIs) were calculated to assess whether quality of supervision modified the association between health and VERP. Results: Employees with poor health at baseline had an increased risk of VERP during follow-up (hazard ratio [HR]=1.23; 95% confidence interval [CI] 1.02–1.49). Quality of supervision at baseline was not associated to VERP during follow-up (HR=1.04; 95% CI 0.90–1.21). There was no statistically significant interaction of poor health and poor quality of supervision with regard to risk of VERP (RERI=−0.33; 95% CI −1.79 to 1.14). Conclusions: This study did not support the notion that quality of supervision buffers the association between poor health and VERP. Future research is needed to determine whether other aspects of supervision, for example supervisors’ opportunities to effectuate workplace adjustments, may modify the association of poor health and VERP. PMID:28381121

Facilitating the learning process in design-based learning practices: an investigation of teachers' actions in supervising students

NASA Astrophysics Data System (ADS)

Gómez Puente, S. M.; van Eijck, M.; Jochems, W.

2013-11-01

Background: In research on design-based learning (DBL), inadequate attention is paid to the role the teacher plays in supervising students in gathering and applying knowledge to design artifacts, systems, and innovative solutions in higher education. Purpose: In this study, we examine whether teacher actions we previously identified in the DBL literature as important in facilitating learning processes and student supervision are present in current DBL engineering practices. Sample: The sample (N=16) consisted of teachers and supervisors in two engineering study programs at a university of technology: mechanical and electrical engineering. We selected randomly teachers from freshman and second-year bachelor DBL projects responsible for student supervision and assessment. Design and method: Interviews with teachers, and interviews and observations of supervisors were used to examine how supervision and facilitation actions are applied according to the DBL framework. Results: Major findings indicate that formulating questions is the most common practice seen in facilitating learning in open-ended engineering design environments. Furthermore, other DBL actions we expected to see based upon the literature were seldom observed in the coaching practices within these two programs. Conclusions: Professionalization of teachers in supervising students need to include methods to scaffold learning by supporting students in reflecting and in providing formative feedback.

What Are Young People Doing on Internet? Use of ICT, Parental Supervision Strategies and Exposure to Risks

ERIC Educational Resources Information Center

Giménez, Ana M.; Luengo, José A.; Bartrina, M. José

2017-01-01

Introduction: Current research emphasizes young people's access to and use of social networks, chat and WhatsApp. However, this situation is not associated with active parental mediation to protect them from the risks involved. This study analyzes Murcian students' perception of cell phone and computer use, parental mediation strategies and their…

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation

NASA Technical Reports Server (NTRS)

Zhang, Zhou; Pasolli, Edoardo; Crawford, Melba M.; Tilton, James C.

2015-01-01

Augmenting spectral data with spatial information for image classification has recently gained significant attention, as classification accuracy can often be improved by extracting spatial information from neighboring pixels. In this paper, we propose a new framework in which active learning (AL) and hierarchical segmentation (HSeg) are combined for spectral-spatial classification of hyperspectral images. The spatial information is extracted from a best segmentation obtained by pruning the HSeg tree using a new supervised strategy. The best segmentation is updated at each iteration of the AL process, thus taking advantage of informative labeled samples provided by the user. The proposed strategy incorporates spatial information in two ways: 1) concatenating the extracted spatial features and the original spectral features into a stacked vector and 2) extending the training set using a self-learning-based semi-supervised learning (SSL) approach. Finally, the two strategies are combined within an AL framework. The proposed framework is validated with two benchmark hyperspectral datasets. Higher classification accuracies are obtained by the proposed framework with respect to five other state-of-the-art spectral-spatial classification approaches. Moreover, the effectiveness of the proposed pruning strategy is also demonstrated relative to the approaches based on a fixed segmentation.

Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization.

PubMed

Liang, Yong; Chai, Hua; Liu, Xiao-Ying; Xu, Zong-Ben; Zhang, Hai; Leung, Kwong-Sak

2016-03-01

One of the most important objectives of the clinical cancer research is to diagnose cancer more accurately based on the patients' gene expression profiles. Both Cox proportional hazards model (Cox) and accelerated failure time model (AFT) have been widely adopted to the high risk and low risk classification or survival time prediction for the patients' clinical treatment. Nevertheless, two main dilemmas limit the accuracy of these prediction methods. One is that the small sample size and censored data remain a bottleneck for training robust and accurate Cox classification model. In addition to that, similar phenotype tumours and prognoses are actually completely different diseases at the genotype and molecular level. Thus, the utility of the AFT model for the survival time prediction is limited when such biological differences of the diseases have not been previously identified. To try to overcome these two main dilemmas, we proposed a novel semi-supervised learning method based on the Cox and AFT models to accurately predict the treatment risk and the survival time of the patients. Moreover, we adopted the efficient L1/2 regularization approach in the semi-supervised learning method to select the relevant genes, which are significantly associated with the disease. The results of the simulation experiments show that the semi-supervised learning model can significant improve the predictive performance of Cox and AFT models in survival analysis. The proposed procedures have been successfully applied to four real microarray gene expression and artificial evaluation datasets. The advantages of our proposed semi-supervised learning method include: 1) significantly increase the available training samples from censored data; 2) high capability for identifying the survival risk classes of patient in Cox model; 3) high predictive accuracy for patients' survival time in AFT model; 4) strong capability of the relevant biomarker selection. Consequently, our proposed semi-supervised learning model is one more appropriate tool for survival analysis in clinical cancer research.

Improving supervision: a team approach.

PubMed

1993-01-01

This issue of "The Family Planning Manager" outlines an interactive team supervision strategy as a means of improving family planning service quality and enabling staff to perform to their maximum potential. Such an approach to supervision requires a shift from a monitoring to a facilitative role. Because supervisory visits to the field are infrequent, the regional supervisor, clinic manager, and staff should form a team to share ongoing supervisory responsibilities. The team approach removes individual blame and builds consensus. An effective team is characterized by shared leadership roles, concrete work problems, mutual accountability, an emphasis on achieving team objectives, and problem resolution within the group. The team supervision process includes the following steps: prepare a visit plan and schedule; meet with the clinic manager and staff to explain how the visit will be conducted; supervise key activity areas (clinical, management, and personnel); conduct a problem-solving team meeting; conduct a debriefing meeting with the clinic manager; and prepare a report on the visit, including recommendations and follow-up plans. In Guatemala's Family Planning Unit, teams identify problem areas on the basis of agreement that a problem exists, belief that the problem can be solved with available resources, and individual willingness to accept responsibility for the specific actions identified to correct the problem.

Using intervention mapping to develop a home-based parental-supervised toothbrushing intervention for young children.

PubMed

Gray-Burrows, K A; Day, P F; Marshman, Z; Aliakbari, E; Prady, S L; McEachan, R R C

2016-05-06

Dental caries in young children is a major public health problem impacting on the child and their family in terms of pain, infection and substantial financial burden on healthcare funders. In the UK, national guidance on the prevention of dental caries advises parents to supervise their child's brushing with fluoride toothpaste until age 7. However, there is a dearth of evidence-based interventions to encourage this practice in parents. The current study used intervention mapping (IM) to develop a home-based parental-supervised toothbrushing intervention to reduce dental caries in young children. The intervention was developed using the six key stages of the IM protocol: (1) needs assessment, including a systematic review, qualitative interviews, and meetings with a multi-disciplinary intervention development group; (2) identification of outcomes and change objectives following identification of the barriers to parental-supervised toothbrushing (PSB), mapped alongside psychological determinants outlined in the Theoretical Domains Framework (TDF); (3) selection of methods and practical strategies; (4) production of a programme plan; (5) adoption and implementation and (6) Evaluation. The comprehensive needs assessment highlighted key barriers to PSB, such as knowledge, skills, self-efficacy, routine setting and behaviour regulation and underlined the importance of individual, social and structural influences. Parenting skills (routine setting and the ability to manage the behaviour of a reluctant child) were emphasised as critical to the success of PSB. The multi-disciplinary intervention development group highlighted the need for both universal and targeted programmes, which could be implemented within current provision. Two intervention pathways were developed: a lower cost universal pathway utilising an existing national programme and an intensive targeted programme delivered via existing parenting programmes. A training manual was created to accompany each intervention to ensure knowledge and standardise implementation procedures. PSB is a complex behaviour and requires intervention across individual, social and structural levels. IM, although a time-consuming process, allowed us to capture this complexity and allowed us to develop two community-based intervention pathways covering both universal and targeted approaches, which can be integrated into current provision. Further research is needed to evaluate the acceptability and sustainability of these interventions.

Longitudinal evaluation of a pilot e-portfolio-based supervision programme for final year medical students: views of students, supervisors and new graduates.

PubMed

Vance, Gillian H S; Burford, Bryan; Shapiro, Ethan; Price, Richard

2017-08-22

Little is known about how best to implement portfolio-based learning in medical school. We evaluated the introduction of a formative e-portfolio-based supervision pilot for final year medical students by seeking views of students, supervisors and graduates on use and educational effects. Students and supervisors were surveyed by questionnaire, with free text comments invited. Interviews were held with new graduates in their first Foundation Programme placement. Most students used the e-portfolio (54%) and met with their supervisor (62%) 'once or twice' only. Students had more negative views: 22% agreed that the pilot was beneficial, while most supervisors thought that e-portfolio (72%) and supervision (86%) were a 'good idea'. More students reported supervision meetings benefited learning (49%) and professional development (55%) than the e-portfolio did (16%; 28%). Only 47% of students felt 'prepared' for future educational processes, though graduates noted benefits for navigating and understanding e-portfolio building and supervision. Factors limiting engagement reflected 'burden', while supervision meetings and early experience of postgraduate processes offered educational value. Final year students have negative attitudes to a formative e-portfolio, though benefits for easing the educational transition are recognised by graduates. Measures to minimize time, repetition and redundancy of processes may encourage use. Engagement is influenced by the supervisor relationship and educational value may be best achieved by supporting supervisors to develop strategies to facilitate, and motivate self-directed learning processes in undergraduates.

Active learning: a step towards automating medical concept extraction.

PubMed

Kholghi, Mahnoosh; Sitbon, Laurianne; Zuccon, Guido; Nguyen, Anthony

2016-03-01

This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robustness of incremental active learning framework across different selection criteria and data sets are determined. The comparative performance of an active learning framework and a fully supervised approach were investigated to study how active learning reduces the annotation effort while achieving the same effectiveness as a supervised approach. Conditional random fields as the supervised method, and least confidence and information density as 2 selection criteria for active learning framework were used. The effect of incremental learning vs standard learning on the robustness of the models within the active learning framework with different selection criteria was also investigated. The following 2 clinical data sets were used for evaluation: the Informatics for Integrating Biology and the Bedside/Veteran Affairs (i2b2/VA) 2010 natural language processing challenge and the Shared Annotated Resources/Conference and Labs of the Evaluation Forum (ShARe/CLEF) 2013 eHealth Evaluation Lab. The annotation effort saved by active learning to achieve the same effectiveness as supervised learning is up to 77%, 57%, and 46% of the total number of sequences, tokens, and concepts, respectively. Compared with the random sampling baseline, the saving is at least doubled. Incremental active learning is a promising approach for building effective and robust medical concept extraction models while significantly reducing the burden of manual annotation. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

[Effective communication strategies to frame the trainer-trainee dialogue in the clinical setting].

PubMed

Gachoud, D; Félix, S; Monti, M

2015-11-04

Communication between trainer and trainee plays a central role in teaching and learning in the clinical environment. There are various strategies to frame the dialogue between trainee and trainer. These strategies allow trainers to be more effective in their supervision, which is important in our busy clinical environment. Communication strategies are well adapted to both in- and out-patient settings, to both under- and postgraduate contexts. This article presents three strategies that we think are particularly useful. They are meant to give feedback, to ask questions and to present a case.

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences.

PubMed

Song, Min; Yu, Hwanjo; Han, Wook-Shin

2011-11-24

Protein-protein interaction (PPI) extraction has been a focal point of many biomedical research and database curation tools. Both Active Learning and Semi-supervised SVMs have recently been applied to extract PPI automatically. In this paper, we explore combining the AL with the SSL to improve the performance of the PPI task. We propose a novel PPI extraction technique called PPISpotter by combining Deterministic Annealing-based SSL and an AL technique to extract protein-protein interaction. In addition, we extract a comprehensive set of features from MEDLINE records by Natural Language Processing (NLP) techniques, which further improve the SVM classifiers. In our feature selection technique, syntactic, semantic, and lexical properties of text are incorporated into feature selection that boosts the system performance significantly. By conducting experiments with three different PPI corpuses, we show that PPISpotter is superior to the other techniques incorporated into semi-supervised SVMs such as Random Sampling, Clustering, and Transductive SVMs by precision, recall, and F-measure. Our system is a novel, state-of-the-art technique for efficiently extracting protein-protein interaction pairs.

Selection criteria for internships in clinical neuropsychology.

PubMed

Ritchie, David; Odland, Anthony P; Ritchie, Abigail S; Mittenberg, Wiley

2012-01-01

Criteria used in the evaluation and selection of applicants for clinical neuropsychology internships were identified by a survey of programs that met guidelines for specialty training. The number of internships that offer training with specialization in clinical neuropsychology has more than doubled during the past 10 years. Supervising neuropsychologists from 75 programs replied to the survey, yielding a 72.8% response rate. Clinical experience in neuropsychological assessment, specialization in clinical neuropsychology during graduate education, personal interview, and letters of recommendation were reported to be the most salient selection criteria. Practica that provide experience with flexible or functional systems assessment approaches at university-affiliated or VA (U.S. Department of Veterans Affairs) medical centers and doctoral curricula that follow International Neuropsychological Society/Division 40 course guidelines, with teaching and supervision provided by neuropsychologists, were preferred prerequisites to internship. These results are consistent with selection criteria reported over a decade ago and indicate continued endorsement of the vertically integrated model of education and training outlined by the Houston Conference on Specialty Education and Training in Clinical Neuropsychology.

The validation of the Supervision of Thesis Questionnaire (STQ).

PubMed

Henricson, Maria; Fridlund, Bengt; Mårtensson, Jan; Hedberg, Berith

2018-06-01

The supervision process is characterized by differences between the supervisors' and the students' expectations before the start of writing a bachelor thesis as well as after its completion. A review of the literature did not reveal any scientifically tested questionnaire for evaluating nursing students' expectations of the supervision process when writing a bachelor thesis. The aim of the study was to determine the construct validity and internal consistency reliability of a questionnaire for measuring nursing students' expectations of the bachelor thesis supervision process. The study had a developmental and methodological design carried out in four steps including construct validity and internal consistency reliability statistical procedures: construction of the items, assessment of face validity, data collection and data analysis. This study was conducted at a university in southern Sweden, where students on the "Nursing student thesis, 15 ECTS" course were consecutively selected for participation. Of the 512 questionnaires distributed, 327 were returned, a response rate of 64%. Five factors with a total variance of 74% and good communalities, ≥0.64, were extracted from the 10-item STQ. The internal consistency of the 10 items was 0.68. The five factors were labelled: The nature of the supervision process, The supervisor's role as a coach, The students' progression to self-support, The interaction between students and supervisor and supervisor competence. A didactic, useful and secure questionnaire measuring nursing students' expectations of the bachelor thesis supervision process based on three main forms of supervision was created. Copyright © 2018 Elsevier Ltd. All rights reserved.

Integrative gene network construction to analyze cancer recurrence using semi-supervised learning.

PubMed

Park, Chihyun; Ahn, Jaegyoon; Kim, Hyunjin; Park, Sanghyun

2014-01-01

The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses only a few labeled samples. Semi-supervised learning can be a great alternative to solve this problem. There have been few attempts based on manifold assumptions to reveal the detailed roles of identified cancer genes in recurrence. In order to predict cancer recurrence, we proposed a novel semi-supervised learning algorithm based on a graph regularization approach. We transformed the gene expression data into a graph structure for semi-supervised learning and integrated protein interaction data with the gene expression data to select functionally-related gene pairs. Then, we predicted the recurrence of cancer by applying a regularization approach to the constructed graph containing both labeled and unlabeled nodes. The average improvement rate of accuracy for three different cancer datasets was 24.9% compared to existing supervised and semi-supervised methods. We performed functional enrichment on the gene networks used for learning. We identified that those gene networks are significantly associated with cancer-recurrence-related biological functions. Our algorithm was developed with standard C++ and is available in Linux and MS Windows formats in the STL library. The executable program is freely available at: http://embio.yonsei.ac.kr/~Park/ssl.php.

Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study

PubMed Central

Guerra, Luis; McGarry, Laura M; Robles, Víctor; Bielza, Concha; Larrañaga, Pedro; Yuste, Rafael

2011-01-01

In the study of neural circuits, it becomes essential to discern the different neuronal cell types that build the circuit. Traditionally, neuronal cell types have been classified using qualitative descriptors. More recently, several attempts have been made to classify neurons quantitatively, using unsupervised clustering methods. While useful, these algorithms do not take advantage of previous information known to the investigator, which could improve the classification task. For neocortical GABAergic interneurons, the problem to discern among different cell types is particularly difficult and better methods are needed to perform objective classifications. Here we explore the use of supervised classification algorithms to classify neurons based on their morphological features, using a database of 128 pyramidal cells and 199 interneurons from mouse neocortex. To evaluate the performance of different algorithms we used, as a “benchmark,” the test to automatically distinguish between pyramidal cells and interneurons, defining “ground truth” by the presence or absence of an apical dendrite. We compared hierarchical clustering with a battery of different supervised classification algorithms, finding that supervised classifications outperformed hierarchical clustering. In addition, the selection of subsets of distinguishing features enhanced the classification accuracy for both sets of algorithms. The analysis of selected variables indicates that dendritic features were most useful to distinguish pyramidal cells from interneurons when compared with somatic and axonal morphological variables. We conclude that supervised classification algorithms are better matched to the general problem of distinguishing neuronal cell types when some information on these cell groups, in our case being pyramidal or interneuron, is known a priori. As a spin-off of this methodological study, we provide several methods to automatically distinguish neocortical pyramidal cells from interneurons, based on their morphologies. © 2010 Wiley Periodicals, Inc. Develop Neurobiol 71: 71–82, 2011 PMID:21154911

We Don't Train in Vain: A Dissemination Trial of Three Strategies of Training Clinicians in Cognitive–Behavioral Therapy

PubMed Central

Sholomskas, Diane E.; Syracuse-Siewert, Gia; Rounsaville, Bruce J.; Ball, Samuel A.; Nuro, Kathryn F.; Carroll, Kathleen M.

2008-01-01

There has been little research on the effectiveness of different training strategies or the impact of exposure to treatment manuals alone on clinicians' ability to effectively implement empirically supported therapies. Seventy-eight community-based clinicians were assigned to 1 of 3 training conditions: review of a cognitive–behavioral therapy (CBT) manual only, review of the manual plus access to a CBT training Web site, or review of the manual plus a didactic seminar followed by supervised casework. The primary outcome measure was the clinicians' ability to demonstrate key CBT interventions, as assessed by independent ratings of structured role plays. Statistically significant differences favoring the seminar plus supervision over the manual only condition were found for adherence and skill ratings for 2 of the 3 role plays, with intermediate scores for the Web condition. PMID:15709837

Developing psychotherapists’ competence through clinical supervision: protocol for a qualitative study of supervisory dyads

PubMed Central

2013-01-01

Background Mental health professionals face unique demands and stressors in their work, resulting in high rates of burnout and distress. Clinical supervision is a widely adopted and valued mechanism of professional support, development, and accountability, despite the very limited evidence of specific impacts on therapist or client outcomes. The current study aims to address this by exploring how psychotherapists develop competence through clinical supervision and what impact this has on the supervisees’ practice and their clients’ outcomes. This paper provides a rationale for the study and describes the protocol for an in-depth qualitative study of supervisory dyads, highlighting how it addresses gaps in the literature. Methods/Design The study of 16–20 supervisor-supervisee dyads uses a qualitative mixed method design, with two phases. In phase one, supervisors who are nominated as expert by their peers are interviewed about their supervision practice. In phase two, supervisors record a supervision session with a consenting supervisee; interpersonal process recall interviews are conducted separately with supervisor and supervisee to reflect in depth on the teaching and learning processes occurring. All interviews will be transcribed, coded and analysed to identify the processes that build competence, using a modified form of Consensual Qualitative Research (CQR) strategies. Using a theory-building case study method, data from both phases of the study will be integrated to develop a model describing the processes that build competence and support wellbeing in practising psychotherapists, reflecting the accumulated wisdom of the expert supervisors. Discussion The study addresses past study limitations by examining expert supervisors and their supervisory interactions, by reflecting on actual supervision sessions, and by using dyadic analysis of the supervisory pairs. The study findings will inform the development of future supervision training and practice and identify fruitful avenues for future research. PMID:23298408

Developing psychotherapists' competence through clinical supervision: protocol for a qualitative study of supervisory dyads.

PubMed

Schofield, Margot J; Grant, Jan

2013-01-08

Mental health professionals face unique demands and stressors in their work, resulting in high rates of burnout and distress. Clinical supervision is a widely adopted and valued mechanism of professional support, development, and accountability, despite the very limited evidence of specific impacts on therapist or client outcomes. The current study aims to address this by exploring how psychotherapists develop competence through clinical supervision and what impact this has on the supervisees' practice and their clients' outcomes. This paper provides a rationale for the study and describes the protocol for an in-depth qualitative study of supervisory dyads, highlighting how it addresses gaps in the literature. The study of 16-20 supervisor-supervisee dyads uses a qualitative mixed method design, with two phases. In phase one, supervisors who are nominated as expert by their peers are interviewed about their supervision practice. In phase two, supervisors record a supervision session with a consenting supervisee; interpersonal process recall interviews are conducted separately with supervisor and supervisee to reflect in depth on the teaching and learning processes occurring. All interviews will be transcribed, coded and analysed to identify the processes that build competence, using a modified form of Consensual Qualitative Research (CQR) strategies. Using a theory-building case study method, data from both phases of the study will be integrated to develop a model describing the processes that build competence and support wellbeing in practising psychotherapists, reflecting the accumulated wisdom of the expert supervisors. The study addresses past study limitations by examining expert supervisors and their supervisory interactions, by reflecting on actual supervision sessions, and by using dyadic analysis of the supervisory pairs. The study findings will inform the development of future supervision training and practice and identify fruitful avenues for future research.

Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm

PubMed Central

Wu, Haizhou; Luo, Qifang

2016-01-01

Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a challenging task to present a satisfactory and efficient training algorithm for feedforward neural networks (FNNs). In this paper, SOS is employed as a new method for training FNNs. To investigate the performance of the aforementioned method, eight different datasets selected from the UCI machine learning repository are employed for experiment and the results are compared among seven metaheuristic algorithms. The results show that SOS performs better than other algorithms for training FNNs in terms of converging speed. It is also proven that an FNN trained by the method of SOS has better accuracy than most algorithms compared. PMID:28105044

An iterated Laplacian based semi-supervised dimensionality reduction for classification of breast cancer on ultrasound images.

PubMed

Liu, Xiao; Shi, Jun; Zhou, Shichong; Lu, Minhua

2014-01-01

The dimensionality reduction is an important step in ultrasound image based computer-aided diagnosis (CAD) for breast cancer. A newly proposed l2,1 regularized correntropy algorithm for robust feature selection (CRFS) has achieved good performance for noise corrupted data. Therefore, it has the potential to reduce the dimensions of ultrasound image features. However, in clinical practice, the collection of labeled instances is usually expensive and time costing, while it is relatively easy to acquire the unlabeled or undetermined instances. Therefore, the semi-supervised learning is very suitable for clinical CAD. The iterated Laplacian regularization (Iter-LR) is a new regularization method, which has been proved to outperform the traditional graph Laplacian regularization in semi-supervised classification and ranking. In this study, to augment the classification accuracy of the breast ultrasound CAD based on texture feature, we propose an Iter-LR-based semi-supervised CRFS (Iter-LR-CRFS) algorithm, and then apply it to reduce the feature dimensions of ultrasound images for breast CAD. We compared the Iter-LR-CRFS with LR-CRFS, original supervised CRFS, and principal component analysis. The experimental results indicate that the proposed Iter-LR-CRFS significantly outperforms all other algorithms.

Automated labelling of cancer textures in colorectal histopathology slides using quasi-supervised learning.

PubMed

Onder, Devrim; Sarioglu, Sulen; Karacali, Bilge

2013-04-01

Quasi-supervised learning is a statistical learning algorithm that contrasts two datasets by computing estimate for the posterior probability of each sample in either dataset. This method has not been applied to histopathological images before. The purpose of this study is to evaluate the performance of the method to identify colorectal tissues with or without adenocarcinoma. Light microscopic digital images from histopathological sections were obtained from 30 colorectal radical surgery materials including adenocarcinoma and non-neoplastic regions. The texture features were extracted by using local histograms and co-occurrence matrices. The quasi-supervised learning algorithm operates on two datasets, one containing samples of normal tissues labelled only indirectly, and the other containing an unlabeled collection of samples of both normal and cancer tissues. As such, the algorithm eliminates the need for manually labelled samples of normal and cancer tissues for conventional supervised learning and significantly reduces the expert intervention. Several texture feature vector datasets corresponding to different extraction parameters were tested within the proposed framework. The Independent Component Analysis dimensionality reduction approach was also identified as the one improving the labelling performance evaluated in this series. In this series, the proposed method was applied to the dataset of 22,080 vectors with reduced dimensionality 119 from 132. Regions containing cancer tissue could be identified accurately having false and true positive rates up to 19% and 88% respectively without using manually labelled ground-truth datasets in a quasi-supervised strategy. The resulting labelling performances were compared to that of a conventional powerful supervised classifier using manually labelled ground-truth data. The supervised classifier results were calculated as 3.5% and 95% for the same case. The results in this series in comparison with the benchmark classifier, suggest that quasi-supervised image texture labelling may be a useful method in the analysis and classification of pathological slides but further study is required to improve the results. Copyright © 2013 Elsevier Ltd. All rights reserved.

Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

PubMed Central

Alvarez-Meza, Andres M.; Orozco-Gutierrez, Alvaro; Castellanos-Dominguez, German

2017-01-01

We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings. EKRA is a data-driven strategy that incorporates two kernel functions to take advantage of the available joint information, associating neural responses to a given stimulus condition. Regarding this, a Centered Kernel Alignment functional is adjusted to learning the linear projection that best discriminates the input feature set, optimizing the required free parameters automatically. Our approach is carried out in two scenarios: (i) feature selection by computing a relevance vector from extracted neural features to facilitating the physiological interpretation of a given brain activity task, and (ii) enhanced feature selection to perform an additional transformation of relevant features aiming to improve the overall identification accuracy. Accordingly, we provide an alternative feature relevance analysis strategy that allows improving the system performance while favoring the data interpretability. For the validation purpose, EKRA is tested in two well-known tasks of brain activity: motor imagery discrimination and epileptic seizure detection. The obtained results show that the EKRA approach estimates a relevant representation space extracted from the provided supervised information, emphasizing the salient input features. As a result, our proposal outperforms the state-of-the-art methods regarding brain activity discrimination accuracy with the benefit of enhanced physiological interpretation about the task at hand. PMID:29056897

Supervised learning technique for the automated identification of white matter hyperintensities in traumatic brain injury.

PubMed

Stone, James R; Wilde, Elisabeth A; Taylor, Brian A; Tate, David F; Levin, Harvey; Bigler, Erin D; Scheibel, Randall S; Newsome, Mary R; Mayer, Andrew R; Abildskov, Tracy; Black, Garrett M; Lennon, Michael J; York, Gerald E; Agarwal, Rajan; DeVillasante, Jorge; Ritter, John L; Walker, Peter B; Ahlers, Stephen T; Tustison, Nicholas J

2016-01-01

White matter hyperintensities (WMHs) are foci of abnormal signal intensity in white matter regions seen with magnetic resonance imaging (MRI). WMHs are associated with normal ageing and have shown prognostic value in neurological conditions such as traumatic brain injury (TBI). The impracticality of manually quantifying these lesions limits their clinical utility and motivates the utilization of machine learning techniques for automated segmentation workflows. This study develops a concatenated random forest framework with image features for segmenting WMHs in a TBI cohort. The framework is built upon the Advanced Normalization Tools (ANTs) and ANTsR toolkits. MR (3D FLAIR, T2- and T1-weighted) images from 24 service members and veterans scanned in the Chronic Effects of Neurotrauma Consortium's (CENC) observational study were acquired. Manual annotations were employed for both training and evaluation using a leave-one-out strategy. Performance measures include sensitivity, positive predictive value, [Formula: see text] score and relative volume difference. Final average results were: sensitivity = 0.68 ± 0.38, positive predictive value = 0.51 ± 0.40, [Formula: see text] = 0.52 ± 0.36, relative volume difference = 43 ± 26%. In addition, three lesion size ranges are selected to illustrate the variation in performance with lesion size. Paired with correlative outcome data, supervised learning methods may allow for identification of imaging features predictive of diagnosis and prognosis in individual TBI patients.

42 CFR 441.505 - Definitions.

Code of Federal Regulations, 2013 CFR

2013-10-01

... including, but not limited to, tasks such as eating, toileting, grooming, dressing, bathing, and... exercise as much control as desired to select, train, supervise, schedule, determine duties, and dismiss...

42 CFR 441.505 - Definitions.

Code of Federal Regulations, 2014 CFR

2014-10-01

... including, but not limited to, tasks such as eating, toileting, grooming, dressing, bathing, and... exercise as much control as desired to select, train, supervise, schedule, determine duties, and dismiss...

42 CFR 441.505 - Definitions.

Code of Federal Regulations, 2012 CFR

2012-10-01

... including, but not limited to, tasks such as eating, toileting, grooming, dressing, bathing, and... exercise as much control as desired to select, train, supervise, schedule, determine duties, and dismiss...

Diet Quality and Physical Activity Outcome Improvements Resulting From a Church-Based Diet and Supervised Physical Activity Intervention for Rural, Southern, African American Adults: Delta Body and Soul III.

PubMed

Thomson, Jessica L; Goodman, Melissa H; Tussing-Humphreys, Lisa

2015-09-01

We assessed the effects of a 6-month, church-based, diet and supervised physical activity intervention, conducted between 2011 and 2012, on improving diet quality and increasing physical activity of Southern, African American adults. Using a quasi-experimental design, eight self-selected, eligible churches were assigned to intervention or control. Assessments included dietary, physical activity, anthropometric, and clinical measures. Mixed model regression analysis and McNemar's test were used to determine if within and between group differences were significant. Cohen's d effect sizes for selected outcomes also were computed and compared with an earlier, lower dose intervention. Retention rates were 84% (102/122) for control and 76% (219/287) for intervention participants. Diet quality components, including fruits, vegetables, discretionary calories, and total quality, improved significantly in the intervention group. Strength/flexibility physical activity also increased in the intervention group, while both aerobic and strength/flexibility physical activity significantly decreased in the control group. Effect sizes for selected health outcomes were larger in the current intervention as compared to an earlier, less intense iteration of the study. Results suggest that more frequent education sessions as well as supervised group physical activity may be key components to increasing the efficacy of behavioral lifestyle interventions in rural, Southern, African American adults. © 2015 Society for Public Health Education.

What works? Strategies to increase reproductive, maternal and child health in difficult to access mountainous locations: a systematic literature review.

PubMed

Byrne, Abbey; Hodge, Andrew; Jimenez-Soto, Eliana; Morgan, Alison

2014-01-01

Geography poses serious challenges to delivery of health services and is a well documented marker of inequity. Maternal, newborn and child health (MNCH) outcomes are poorer in mountainous regions of low and lower-middle income countries due to geographical inaccessibility combined with other barriers: poorer quality services, persistent cultural and traditional practices and lower socioeconomic and educational status. Reaching universal coverage goals will require attention for remote mountain settings. This study aims to identify strategies to address barriers to reproductive MNCH (RMNCH) service utilisation in difficult-to-reach mountainous regions in low and lower-middle income settings worldwide. A systematic literature review drawing from MEDLINE, Web of Science, Scopus, Google Scholar, and Eldis. Inclusion was based on; testing an intervention for utilisation of RMNCH services; remote mountain settings of low- and lower-middle income countries; selected study designs. Studies were assessed for quality and analysed to present a narrative review of the key themes. From 4,130 articles 34 studies were included, from Afghanistan, Bolivia, Ethiopia, Guatemala, Indonesia, Kenya, Kyrgyzstan, Nepal, Pakistan, Papua New Guinea and Tajikistan. Strategies fall into four broad categories: improving service delivery through selected, trained and supported community health workers (CHWs) to act alongside formal health workers and the distribution of critical medicines to the home; improving the desirability of existing services by addressing the quality of care, innovative training and supervision of health workers; generating demand by engaging communities; and improving health knowledge for timely care-seeking. Task shifting, strengthened roles of CHWs and volunteers, mobile teams, and inclusive structured planning forums have proved effective. The review highlights where known evidence-based strategies have increased the utilisation of RMNCH services in low income mountainous areas. While these are known strategies in public health, in such disadvantaged settings additional supports are required to address both supply and demand barriers.

Using simulation pedagogy to teach clinical education skills: A randomized trial.

PubMed

Holdsworth, Clare; Skinner, Elizabeth H; Delany, Clare M

2016-05-01

Supervision of students is a key role of senior physiotherapy clinicians in teaching hospitals. The objective of this study was to test the effect of simulated learning environments (SLE) on educators' self-efficacy in student supervision skills. A pilot prospective randomized controlled trial with concealed allocation was conducted. Clinical educators were randomized to intervention (SLE) or control groups. SLE participants completed two 3-hour workshops, which included simulated clinical teaching scenarios, and facilitated debrief. Standard Education (StEd) participants completed two online learning modules. Change in educator clinical supervision self-efficacy (SE) and student perceptions of supervisor skill were calculated. Between-group comparisons of SE change scores were analyzed with independent t-tests to account for potential baseline differences in education experience. Eighteen educators (n = 18) were recruited (SLE [n = 10], StEd [n = 8]). Significant improvements in SE change scores were seen in SLE participants compared to control participants in three domains of self-efficacy: (1) talking to students about supervision and learning styles (p = 0.01); (2) adapting teaching styles for students' individual needs (p = 0.02); and (3) identifying strategies for future practice while supervising students (p = 0.02). This is the first study investigating SLE for teaching skills of clinical education. SLE improved educators' self-efficacy in three domains of clinical education. Sample size limited the interpretation of student ratings of educator supervision skills. Future studies using SLE would benefit from future large multicenter trials evaluating its effect on educators' teaching skills, student learning outcomes, and subsequent effects on patient care and health outcomes.

Evidence-Based Exercise Recommendations to Reduce Hepatic Fat Content in Youth- a Systematic Review and Meta-Analysis.

PubMed

Medrano, María; Cadenas-Sanchez, Cristina; Álvarez-Bueno, Celia; Cavero-Redondo, Iván; Ruiz, Jonatan R; Ortega, Francisco B; Labayen, Idoia

2018-02-13

The main purposes of this study were to elucidate the effects of supervised-exercise training (ET) interventions on hepatic fat content and on non-alcoholic fatty liver disease (NAFLD) prevalence in children and adolescents and to provide information about the optimal ET prescription (type, intensity, volume, and frequency) needed to reduce hepatic fat content in youths. Supervised-ET interventions performed in children and adolescents (6-19 years) that provided results of exercise effects on hepatic fat content or NAFLD prevalence were included. Supervised-exercise significantly reduced hepatic fat content compared to the control groups. Lifestyle interventions that included supervised-ET significantly reduced the prevalence of NAFLD. This systematic review and meta-analysis shows that supervised-ET could be an effective strategy in the management and prevention of NAFLD in children and adolescents. Both aerobic and resistance ET, at vigorous or moderate-to-vigorous intensities, with a volume ≥60 min/session and a frequency ≥3 sessions/week, aiming to improve cardiorespiratory fitness and muscular strength, had benefits on hepatic fat content reduction in youth. These data concur with the international recommendations of physical activity for health promotion in youth and may be useful when designing ET programs to improve and prevent hepatic steatosis in the pediatric population. Copyright © 2017 Elsevier Inc. All rights reserved.

Optimal Subset Selection of Time-Series MODIS Images and Sample Data Transfer with Random Forests for Supervised Classification Modelling

PubMed Central

Zhou, Fuqun; Zhang, Aining

2016-01-01

Nowadays, various time-series Earth Observation data with multiple bands are freely available, such as Moderate Resolution Imaging Spectroradiometer (MODIS) datasets including 8-day composites from NASA, and 10-day composites from the Canada Centre for Remote Sensing (CCRS). It is challenging to efficiently use these time-series MODIS datasets for long-term environmental monitoring due to their vast volume and information redundancy. This challenge will be greater when Sentinel 2–3 data become available. Another challenge that researchers face is the lack of in-situ data for supervised modelling, especially for time-series data analysis. In this study, we attempt to tackle the two important issues with a case study of land cover mapping using CCRS 10-day MODIS composites with the help of Random Forests’ features: variable importance, outlier identification. The variable importance feature is used to analyze and select optimal subsets of time-series MODIS imagery for efficient land cover mapping, and the outlier identification feature is utilized for transferring sample data available from one year to an adjacent year for supervised classification modelling. The results of the case study of agricultural land cover classification at a regional scale show that using only about a half of the variables we can achieve land cover classification accuracy close to that generated using the full dataset. The proposed simple but effective solution of sample transferring could make supervised modelling possible for applications lacking sample data. PMID:27792152

[An analysis of occupational hazard in manufacturing industry in Guangzhou, China, in 2013].

PubMed

Zhang, Haihong; Li, Yongqin; Zhou, Hailin; Rong, Xing; Zhu, Shaofang; He, Yinan; Zhai, Ran; Liu, Yiming

2015-08-01

To provide data for the occupational health supervision by analyzing the occupational health status in manufacturing industry in Guangzhou, China. The occupational health investigation was performed in 280 enterprises randomly selected from 8 industries based on industry stratification. According to the occupational health standards, 198 out of the 280 enterprises were supervised and monitored. Sample testing was performed in 3~5 workplaces where workers were exposed to the highest concentration/intensity of occupational hazard for the longest time. Comparative analyses of the overproof rates of hazard were performed among enterprises, workplaces, and testing items from different industries. The concentrations of occupational hazard in 42.93% (85/198) of enterprises and 22.96% (200/871) of workplaces were above the limit concentration. The most severe hazards were the noises in shipbuilding and wooden furniture industries and the welding fumes in shipbuilding industry. Less than 30% of enterprises were able to provide occupational health examination and periodic test reports of occupational hazard in workplaces. The rate of the workers with abnormal occupational health examination results and the need for reexamination reached 6.63% (832/12 549), and they were mostly from shipbuilding, wooden furniture, and chemical industries. The occupational health supervision should be strengthened in enterprises, and hazard from noises and dusts should be selectively controlled or reduced. The publication of relevant data and information of occupational health in enterprises should be promoted to enhance social supervision.

Optimal Subset Selection of Time-Series MODIS Images and Sample Data Transfer with Random Forests for Supervised Classification Modelling.

PubMed

Zhou, Fuqun; Zhang, Aining

2016-10-25

Nowadays, various time-series Earth Observation data with multiple bands are freely available, such as Moderate Resolution Imaging Spectroradiometer (MODIS) datasets including 8-day composites from NASA, and 10-day composites from the Canada Centre for Remote Sensing (CCRS). It is challenging to efficiently use these time-series MODIS datasets for long-term environmental monitoring due to their vast volume and information redundancy. This challenge will be greater when Sentinel 2-3 data become available. Another challenge that researchers face is the lack of in-situ data for supervised modelling, especially for time-series data analysis. In this study, we attempt to tackle the two important issues with a case study of land cover mapping using CCRS 10-day MODIS composites with the help of Random Forests' features: variable importance, outlier identification. The variable importance feature is used to analyze and select optimal subsets of time-series MODIS imagery for efficient land cover mapping, and the outlier identification feature is utilized for transferring sample data available from one year to an adjacent year for supervised classification modelling. The results of the case study of agricultural land cover classification at a regional scale show that using only about a half of the variables we can achieve land cover classification accuracy close to that generated using the full dataset. The proposed simple but effective solution of sample transferring could make supervised modelling possible for applications lacking sample data.

Role Stress in Working Women: Differential Effect on Selected Organizational Outcomes.

ERIC Educational Resources Information Center

Chassie, Marilyn B.; Bhagat, Rabi S.

1980-01-01

Role stress was significantly and negatively related to organizational commitment; overall job satisfaction; satisfaction with pay, work, coworkers, and supervision; and personal-life satisfaction. (Author)

Students Chart Their Own IA Programs

ERIC Educational Resources Information Center

Lavender, John; Ross, John

1973-01-01

Junior high school industrial arts students learn in a program in which they select their area of learning, manage their activities, supervise themselves in procedures, and investigate career opportunities. (DS)

Two-echelon logistics service supply chain decision game considering quality supervision

NASA Astrophysics Data System (ADS)

Shi, Jiaying

2017-10-01

Due to the increasing importance of supply chain logistics service, we established the Stackelberg game model between single integrator and single subcontractors under decentralized and centralized circumstances, and found that logistics services integrators as a leader prefer centralized decision-making but logistics service subcontractors tend to the decentralized decision-making. Then, we further analyzed why subcontractor chose to deceive and rebuilt a principal-agent game model to monitor the logistics services quality of them. Mixed Strategy Nash equilibrium and related parameters were discussed. The results show that strengthening the supervision and coordination can improve the quality level of logistics service supply chain.

[An overview of clinical practice education models for nursing students: a literature review].

PubMed

Canzan, Federica; Marognolli, Oliva; Bevilacqua, Anita; Defanti, Francesca; Ambrosi, Elisa; Cavada, Luisa; Saiani, Luisa

2017-01-01

. An overview of education models for nursing students clinical practice: a literature review. In the past decade the nursing education research developed and tested a number of clinical educational models. To describe the most used clinical educational models and to analyze their strengths and weaknesses in fostering the learning processes of nursing students. A literature review of studies on clinical education models for undergraduate nursing student, published in English, was performed. Electronic database Pubmed and Cinhal were searched until November 2016. Nineteen studies were included in the review and five clinical education model identified: 1) the university tutor supervises a group of students and selects learning opportunities; 2) a clinical expert/tutor nurse works side by side with one student; 3) the student is responsible of his/her learning process with the supervision of the ward staff; 4) a clinical tutor of the ward is dedicated to the students' supervision; 5) the student is not assigned to a ward but clinical learning opportunities matched with his/her needs are selected by the university. All the clinical education models shared the focus on students' learning needs. Their specific characteristics better suit them for different stages of students' education and to different clinical settings.

Supervisors' experiences of workplace supervision of nursing and paramedic students in rural settings: a scoping review.

PubMed

Trede, Franziska; McEwen, Celina; Kenny, Amanda; O'Meara, Peter

2014-05-01

We present our findings from a scoping review that sought to identify what is known about nursing and paramedic clinical supervisors' experiences of their supervision practices in rural settings. Our interest in these two groups is based on the central role that nurses and paramedics play in rural health care. Scoping reviews support identification of a broad range of literature, including all types of study designs. We adopted Arksey and O'Malley's five-stage approach: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarising and reporting results. Databases searched included Academic Search Complete, Springer, Factiva, ProQuest, Ebsco, Informit, VOCEDplus and Scopus. Based on our research question and inclusion and exclusion criteria we selected relevant literature and summarised and reported it using Arksey and O'Malley's framework. The review yielded five articles from four countries: Sweden, Belgium, Malaysia and Australia. From this scoping review, we identified key themes related to supervisors' experiences, including clarification of expectations, support from managers and colleagues, the need for shared understanding between university, students and supervisors and required skills and competence in supervising students. © 2013.

An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images.

PubMed

Hashimoto, Shinichi; Ogihara, Hiroyuki; Suenaga, Masato; Fujita, Yusuke; Terai, Shuji; Hamamoto, Yoshihiko; Sakaida, Isao

2017-08-01

Visibility in capsule endoscopic images is presently evaluated through intermittent analysis of frames selected by a physician. It is thus subjective and not quantitative. A method to automatically quantify the visibility on capsule endoscopic images has not been reported. Generally, when designing automated image recognition programs, physicians must provide a training image; this process is called supervised learning. We aimed to develop a novel automated self-learning quantification system to identify visible areas on capsule endoscopic images. The technique was developed using 200 capsule endoscopic images retrospectively selected from each of three patients. The rate of detection of visible areas on capsule endoscopic images between a supervised learning program, using training images labeled by a physician, and our novel automated self-learning program, using unlabeled training images without intervention by a physician, was compared. The rate of detection of visible areas was equivalent for the supervised learning program and for our automatic self-learning program. The visible areas automatically identified by self-learning program correlated to the areas identified by an experienced physician. We developed a novel self-learning automated program to identify visible areas in capsule endoscopic images.

48 CFR 936.602-70 - DOE selection criteria.

Code of Federal Regulations, 2010 CFR

2010-10-01

... the firm and its principal members; (2) Experience and technical competence of the firm in comparable... organizations, consulting firms etc.) including key personnel and a competent supervising representative. (c...

48 CFR 936.602-70 - DOE selection criteria.

Code of Federal Regulations, 2012 CFR

2012-10-01

... the firm and its principal members; (2) Experience and technical competence of the firm in comparable... organizations, consulting firms etc.) including key personnel and a competent supervising representative. (c...

48 CFR 936.602-70 - DOE selection criteria.

Code of Federal Regulations, 2013 CFR

2013-10-01

... the firm and its principal members; (2) Experience and technical competence of the firm in comparable... organizations, consulting firms etc.) including key personnel and a competent supervising representative. (c...

48 CFR 936.602-70 - DOE selection criteria.

Code of Federal Regulations, 2014 CFR

2014-10-01

... the firm and its principal members; (2) Experience and technical competence of the firm in comparable... organizations, consulting firms etc.) including key personnel and a competent supervising representative. (c...

48 CFR 936.602-70 - DOE selection criteria.

Code of Federal Regulations, 2011 CFR

2011-10-01

... the firm and its principal members; (2) Experience and technical competence of the firm in comparable... organizations, consulting firms etc.) including key personnel and a competent supervising representative. (c...

Scoreboards for Schools: ASCD Special Report.

ERIC Educational Resources Information Center

Betts, Frank

1997-01-01

A program developed by the Association for Curriculum and Supervision Development and Group Decisions Support Systems, Inc., aims to enhance accountability and improve school district/community communication. Scoreboards for Schools addresses inadequacies of current financial reporting systems by providing tightly linked planning strategies for…

Learning from Instructional Rounds

ERIC Educational Resources Information Center

City, Elizabeth A.

2011-01-01

Instructional rounds are a disciplined way for educators to work together to improve a school's instructional core. The practice combines three common elements of improvement: classroom observation, an improvement strategy, and a network. Instructional rounds differ from supervision and evaluation in that people doing rounds learn something…

Reading: Putting the Pieces Together.

ERIC Educational Resources Information Center

Hayes, Bernard L., Ed.; Camperell, Kay, Ed.

1994-01-01

The papers in this yearbook focus on the strategies, practices, and research related to elementary reading, secondary reading, adult reading, literature, philosophy of reading, psychology of reading, affective issues, administration, supervision, research, teacher training, assessment that affect reading and reading instruction. Papers in the book…

Qualitative Indices for Selected Educational Innovations. Teacher Education Forum; Volume 3, Number 8.

ERIC Educational Resources Information Center

Mahan, James M.

Presented in this paper is a selection of qualitative indices for four educational innovations (cultural pluralism, individualized instruction, open classroom, and team teaching) prepared by participants of a continuing action lab of the Association for Supervision and Curriculum Development. Participants estimated that over 65 percent of the…

A Comparison of Selected Supervisory Skills of Content Specialist and Non-Content Specialist University Supervisors

ERIC Educational Resources Information Center

Hunt, Kevin; Mitchell, Murray; Maina, Michael; Griffin, Lisa

2015-01-01

The purpose of this study was to describe and contrast selected approaches to the supervision of student teachers between Content Specialist and Non-Content Specialist university supervisors. Content Specialist supervisors were identified as trained university supervisors with a background in physical education. Non-Content Specialist supervisors…

Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: application to geophysical prospecting.

PubMed

Valdés, Julio J; Barton, Alan J

2007-05-01

A method for the construction of virtual reality spaces for visual data mining using multi-objective optimization with genetic algorithms on nonlinear discriminant (NDA) neural networks is presented. Two neural network layers (the output and the last hidden) are used for the construction of simultaneous solutions for: (i) a supervised classification of data patterns and (ii) an unsupervised similarity structure preservation between the original data matrix and its image in the new space. A set of spaces are constructed from selected solutions along the Pareto front. This strategy represents a conceptual improvement over spaces computed by single-objective optimization. In addition, genetic programming (in particular gene expression programming) is used for finding analytic representations of the complex mappings generating the spaces (a composition of NDA and orthogonal principal components). The presented approach is domain independent and is illustrated via application to the geophysical prospecting of caves.

A general system for automatic biomedical image segmentation using intensity neighborhoods.

PubMed

Chen, Cheng; Ozolek, John A; Wang, Wei; Rohde, Gustavo K

2011-01-01

Image segmentation is important with applications to several problems in biology and medicine. While extensively researched, generally, current segmentation methods perform adequately in the applications for which they were designed, but often require extensive modifications or calibrations before being used in a different application. We describe an approach that, with few modifications, can be used in a variety of image segmentation problems. The approach is based on a supervised learning strategy that utilizes intensity neighborhoods to assign each pixel in a test image its correct class based on training data. We describe methods for modeling rotations and variations in scales as well as a subset selection for training the classifiers. We show that the performance of our approach in tissue segmentation tasks in magnetic resonance and histopathology microscopy images, as well as nuclei segmentation from fluorescence microscopy images, is similar to or better than several algorithms specifically designed for each of these applications.

Improved semi-supervised online boosting for object tracking

NASA Astrophysics Data System (ADS)

Li, Yicui; Qi, Lin; Tan, Shukun

2016-10-01

The advantage of an online semi-supervised boosting method which takes object tracking problem as a classification problem, is training a binary classifier from labeled and unlabeled examples. Appropriate object features are selected based on real time changes in the object. However, the online semi-supervised boosting method faces one key problem: The traditional self-training using the classification results to update the classifier itself, often leads to drifting or tracking failure, due to the accumulated error during each update of the tracker. To overcome the disadvantages of semi-supervised online boosting based on object tracking methods, the contribution of this paper is an improved online semi-supervised boosting method, in which the learning process is guided by positive (P) and negative (N) constraints, termed P-N constraints, which restrict the labeling of the unlabeled samples. First, we train the classification by an online semi-supervised boosting. Then, this classification is used to process the next frame. Finally, the classification is analyzed by the P-N constraints, which are used to verify if the labels of unlabeled data assigned by the classifier are in line with the assumptions made about positive and negative samples. The proposed algorithm can effectively improve the discriminative ability of the classifier and significantly alleviate the drifting problem in tracking applications. In the experiments, we demonstrate real-time tracking of our tracker on several challenging test sequences where our tracker outperforms other related on-line tracking methods and achieves promising tracking performance.

Clinical supervision and nursing students' professional competence: support-seeking behaviour and the attachment styles of students and mentors.

PubMed

Moked, Zahava; Drach-Zahavy, Anat

2016-02-01

To examine whether the interdependent attachment style of students is positively related to their support-seeking behaviour during supervision and whether their over-dependent and counter-dependent attachment styles are negatively related to it. Second, to determine whether the mentors' attachment styles moderate the relationship between the students' support-seeking behaviours and their professional competence, such that this relationship is stronger when supervisors are characterized by higher independent attachment style. The mentor-student encounter during nursing clinical supervision is expected to create a supportive environment aimed at promoting support-seeking behaviours and subsequent positive supervision outcomes. Bowlby's attachment theory suggests that the three attachment styles - independent, counter-dependent and over-dependent - may have implications for clinical supervision. A correlative-prospective study. One hundred and seventy-eight students and 66 clinical mentors completed questionnaires at the beginning and end of a clinical supervision session during 2012-2013. Results demonstrated that high compared with low independent nursing students tended to seek less support. Second, students who seek less support evaluated their professional competence as higher than students who seek more support. Third, mentor's counter-dependent attachment style moderated the relationship between students' support-seeking behaviour and their professional competencies. The results allude to the detrimental meaning of support-seeking in the eyes of nursing students. Results can guide administrators in promoting supervision processes that are compatible with the students' independent learning style, while also preventing the negative implications of autonomic learning. Furthermore, as mentors' counter-dependent attachment style can hinder students' support-seeking, attachment styles should be considered in the selection of mentors. © 2015 John Wiley & Sons Ltd.

Surgical resident supervision in the operating room and outcomes of care in Veterans Affairs hospitals.

PubMed

Itani, Kamal M F; DePalma, Ralph G; Schifftner, Tracy; Sanders, Karen M; Chang, Barbara K; Henderson, William G; Khuri, Shukri F

2005-11-01

There has been concern that a reduced level of surgical resident supervision in the operating room (OR) is correlated with worse patient outcomes. Until September 2004, Veterans' Affairs (VA) hospitals entered in the surgical record level 3 supervision on every surgical case when the attending physician was available but not physically present in the OR or the OR suite. In this study, we assessed the impact of level 3 on risk-adjusted morbidity and mortality in the VA system. Surgical cases entered into the National Surgical Quality Improvement Program database between 1998 and 2004, from 99 VA teaching facilities, were included in a logistic regression analysis for each year. Level 3 versus all other levels of supervision were forced into the model, and patient characteristics then were selected stepwise to arrive at a final model. Confidence limits for the odds ratios were calculated by profile likelihood. A total of 610,660 cases were available for analysis. Thirty-day mortality and morbidity rates were reported in 14,441 (2.36%) and 63,079 (10.33%) cases, respectively. Level 3 supervision decreased from 8.72% in 1998 to 2.69% in 2004. In the logistic regression analysis, the odds ratios for mortality for level 3 ranged from .72 to 1.03. Only in the year 2000 were the odds ratio for mortality statistically significant at the .05 level (odds ratio, .72; 95% confidence interval, .594-.858). For morbidity, the odds ratios for level 3 supervision ranged from .66 to 1.01, and all odds ratios except for the year 2004 were statistically significant. Between 1998 and 2004, the level of resident supervision in the OR did not affect clinical outcomes adversely for surgical patients in the VA teaching hospitals.

The association between frequency of self-reported medical errors and anesthesia trainee supervision: a survey of United States anesthesiology residents-in-training.

PubMed

De Oliveira, Gildasio S; Rahmani, Rod; Fitzgerald, Paul C; Chang, Ray; McCarthy, Robert J

2013-04-01

Poor supervision of physician trainees can be detrimental not only to resident education but also to patient care and safety. Inadequate supervision has been associated with more frequent deaths of patients under the care of junior residents. We hypothesized that residents reporting more medical errors would also report lower quality of supervision scores than the ones with lower reported medical errors. The primary objective of this study was to evaluate the association between the frequency of medical errors reported by residents and their perceived quality of faculty supervision. A cross-sectional nationwide survey was sent to 1000 residents randomly selected from anesthesiology training departments across the United States. Residents from 122 residency programs were invited to participate, the median (interquartile range) per institution was 7 (4-11). Participants were asked to complete a survey assessing demography, perceived quality of faculty supervision, and perceived causes of inadequate perceived supervision. Responses to the statements "I perform procedures for which I am not properly trained," "I make mistakes that have negative consequences for the patient," and "I have made a medication error (drug or incorrect dose) in the last year" were used to assess error rates. Average supervision scores were determined using the De Oliveira Filho et al. scale and compared among the frequency of self-reported error categories using the Kruskal-Wallis test. Six hundred four residents responded to the survey (60.4%). Forty-five (7.5%) of the respondents reported performing procedures for which they were not properly trained, 24 (4%) reported having made mistakes with negative consequences to patients, and 16 (3%) reported medication errors in the last year having occurred multiple times or often. Supervision scores were inversely correlated with the frequency of reported errors for all 3 questions evaluating errors. At a cutoff value of 3, supervision scores demonstrated an overall accuracy (area under the curve) (99% confidence interval) of 0.81 (0.73-0.86), 0.89 (0.77-0.95), and 0.93 (0.77-0.98) for predicting a response of multiple times or often to the question of performing procedures for which they were not properly trained, reported mistakes with negative consequences to patients, and reported medication errors in the last year, respectively. Anesthesiology trainees who reported a greater incidence of medical errors with negative consequences to patients and drug errors also reported lower scores for supervision by faculty. Our findings suggest that further studies of the association between supervision and patient safety are warranted. (Anesth Analg 2013;116:892-7).

Gene-Based Multiclass Cancer Diagnosis with Class-Selective Rejections

PubMed Central

Jrad, Nisrine; Grall-Maës, Edith; Beauseroy, Pierre

2009-01-01

Supervised learning of microarray data is receiving much attention in recent years. Multiclass cancer diagnosis, based on selected gene profiles, are used as adjunct of clinical diagnosis. However, supervised diagnosis may hinder patient care, add expense or confound a result. To avoid this misleading, a multiclass cancer diagnosis with class-selective rejection is proposed. It rejects some patients from one, some, or all classes in order to ensure a higher reliability while reducing time and expense costs. Moreover, this classifier takes into account asymmetric penalties dependant on each class and on each wrong or partially correct decision. It is based on ν-1-SVM coupled with its regularization path and minimizes a general loss function defined in the class-selective rejection scheme. The state of art multiclass algorithms can be considered as a particular case of the proposed algorithm where the number of decisions is given by the classes and the loss function is defined by the Bayesian risk. Two experiments are carried out in the Bayesian and the class selective rejection frameworks. Five genes selected datasets are used to assess the performance of the proposed method. Results are discussed and accuracies are compared with those computed by the Naive Bayes, Nearest Neighbor, Linear Perceptron, Multilayer Perceptron, and Support Vector Machines classifiers. PMID:19584932

Burnout and the provision of psychosocial care amongst Australian cancer nurses.

PubMed

Mcmillan, Kirsty; Butow, Phyllis; Turner, Jane; Yates, Patsy; White, Kate; Lambert, Sylvie; Stephens, Moira; Lawsin, Catalina

2016-06-01

To assess the prevalence of burnout amongst Australian cancer nurses as well as investigate the systemic and individual factors associated with burnout, including training and supervision for nurses in psychosocial care. Burnout amongst cancer nurses can have serious consequences for the individual nurse, the hospital and patients. Psychosocial care has been demonstrated in many studies to reduce distress in cancer patients; however, previous studies have suggested that providing psychosocial care can be stressful if nurses feel they lack appropriate training. Psychosocial skill training and supervision may be a way of improving job satisfaction and reducing burnout amongst nurses. Two hundred and thirty cancer nurses were recruited between November 2010 and April 2011 and completed an online questionnaire. Burnout levels within this population were found to be below nursing norms. Adequacy of training and supervision, frequency of supervision and percentage of role spent managing psychosocial care were found to be associated with burnout. Workload, Control, Reward and Community were independent predictors of burnout, and nurses with a greater mismatch in these areas identified as having High levels of burnout. Strategies to reduce burnout include providing cancer nurses with a varied and sustainable workload, awarding financial and social recognition of efforts and encouraging nurses to develop a sense of control over their work. Providing regular training and supervision in psychosocial care that is perceived to be adequate may also assist in reducing burnout. Copyright © 2016. Published by Elsevier Ltd.

Network Supervision of Adult Experience and Learning Dependent Sensory Cortical Plasticity.

PubMed

Blake, David T

2017-06-18

The brain is capable of remodeling throughout life. The sensory cortices provide a useful preparation for studying neuroplasticity both during development and thereafter. In adulthood, sensory cortices change in the cortical area activated by behaviorally relevant stimuli, by the strength of response within that activated area, and by the temporal profiles of those responses. Evidence supports forms of unsupervised, reinforcement, and fully supervised network learning rules. Studies on experience-dependent plasticity have mostly not controlled for learning, and they find support for unsupervised learning mechanisms. Changes occur with greatest ease in neurons containing α-CamKII, which are pyramidal neurons in layers II/III and layers V/VI. These changes use synaptic mechanisms including long term depression. Synaptic strengthening at NMDA-containing synapses does occur, but its weak association with activity suggests other factors also initiate changes. Studies that control learning find support of reinforcement learning rules and limited evidence of other forms of supervised learning. Behaviorally associating a stimulus with reinforcement leads to a strengthening of cortical response strength and enlarging of response area with poor selectivity. Associating a stimulus with omission of reinforcement leads to a selective weakening of responses. In some preparations in which these associations are not as clearly made, neurons with the most informative discharges are relatively stronger after training. Studies analyzing the temporal profile of responses associated with omission of reward, or of plasticity in studies with different discriminanda but statistically matched stimuli, support the existence of limited supervised network learning. © 2017 American Physiological Society. Compr Physiol 7:977-1008, 2017. Copyright © 2017 John Wiley & Sons, Inc.

Using Registered Dental Hygienists to Promote a School-Based Approach to Dental Public Health

PubMed Central

Wellever, Anthony; Kelly, Patricia

2017-01-01

We examine a strategy for improving oral health in the United States by focusing on low-income children in school-based settings. Vulnerable children often experience cultural, social, economic, structural, and geographic barriers when trying to access dental services in traditional dental office settings. These disparities have been discussed for more than a decade in multiple US Department of Health and Human Services publications. One solution is to revise dental practice acts to allow registered dental hygienists increased scope of services, expanded public health delivery opportunities, and decreased dentist supervision. We provide examples of how federally qualified health centers have implemented successful school-based dental models within the parameters of two state policies that allow registered dental hygienists varying levels of dentist supervision. Changes to dental practice acts at the state level allowing registered dental hygienists to practice with limited supervision in community settings, such as schools, may provide vulnerable populations greater access to screening and preventive services. We derive our recommendations from expert opinion. PMID:28661808

Clinical supervision of general nurses in a busy medical ward of a teaching hospital.

PubMed

Cross, Wendy; Moore, Alan; Ockerby, Sherene

2010-06-01

To implement and evaluate group clinical supervision (CS) for Associate Nurse Unit Managers (ANUMs) in a busy medical ward of a tertiary teaching hospital. Back-ground: Nursing work at managerial level is characterised by high stress, depersonalisation and burnout often leading to job dissatisfaction. CS was introduced as a strategy to reduce such issues, through reflection and sharing experiences. Six ANUMs from an acute medical ward participated in weekly CS. The program was evaluated by a focus group conducted after six months to gather feedback about the ANUMs' experience of participating in CS. CS was viewed positively and five main themes emerged including Dedicated Time, I'm Not The Only One experiencing problems, Getting With The Program and having consistent approaches, Positive And Constructive Feedback, and That Word 'supervision'. CS provides senior nurses an opportunity to debrief, reflect and share common experiences and develop alternate approaches to problems. CS may offer managers a useful tool for retaining experienced senior nurses.

Current Policies and New Directions for Speech-Language Pathology Assistants.

PubMed

Paul-Brown, Diane; Goldberg, Lynette R

2001-01-01

This article provides an overview of current American Speech-Language-Hearing Association (ASHA) policies for the appropriate use and supervision of speech-language pathology assistants with an emphasis on the need to preserve the role of fully qualified speech-language pathologists in the service delivery system. Seven challenging issues surrounding the appropriate use of speech-language pathology assistants are considered. These include registering assistants and approving training programs; membership in ASHA; discrepancies between state requirements and ASHA policies; preparation for serving diverse multicultural, bilingual, and international populations; supervision considerations; funding and reimbursement for assistants; and perspectives on career-ladder/bachelor-level personnel. The formation of a National Leadership Council is proposed to develop a coordinated strategic plan for addressing these controversial and potentially divisive issues related to speech-language pathology assistants. This council would implement strategies for future development in the areas of professional education pertaining to assistant-level supervision, instruction of assistants, communication networks, policy development, research, and the dissemination/promotion of information regarding assistants.

A Multiagent-based Intrusion Detection System with the Support of Multi-Class Supervised Classification

NASA Astrophysics Data System (ADS)

Shyu, Mei-Ling; Sainani, Varsha

The increasing number of network security related incidents have made it necessary for the organizations to actively protect their sensitive data with network intrusion detection systems (IDSs). IDSs are expected to analyze a large volume of data while not placing a significantly added load on the monitoring systems and networks. This requires good data mining strategies which take less time and give accurate results. In this study, a novel data mining assisted multiagent-based intrusion detection system (DMAS-IDS) is proposed, particularly with the support of multiclass supervised classification. These agents can detect and take predefined actions against malicious activities, and data mining techniques can help detect them. Our proposed DMAS-IDS shows superior performance compared to central sniffing IDS techniques, and saves network resources compared to other distributed IDS with mobile agents that activate too many sniffers causing bottlenecks in the network. This is one of the major motivations to use a distributed model based on multiagent platform along with a supervised classification technique.

The Ecology of Sustainable Implementation: Reflection on a 10-Year Case History Illustration.

PubMed

Rimehaug, Tormod

2014-01-01

The primary aim of this paper is to illustrate the strategic and ecological nature of implementation. The ultimate aim of implementation is not dissemination but sustainability beyond the implementation effort. A case study is utilized to illustrate these broad and long-term perspectives of sustainable implementation based on qualitative analyses of a 10-year implementation effort. The purveyors aimed to develop selective community prevention services for children in families burdened by parental psychiatric or addictive problems. Services were gradually disseminated to 23 sites serving 40 municipalities by 2013. Up to 2013, only one site terminated services after initial implementation. Although many sites suspended services for shorter periods, services are still offered at 22 sites. This case analysis is based on project reports, user evaluations, practitioner interviews, and service statistics. The paper focuses on the analyses and strategies utilized to cope with quality decay and setbacks as well as progress and success in disseminating and sustaining the services and their quality. Low-cost multilevel strategies to implement services at the community level were organized by a prevention unit in child psychiatry, supervised by a university department (purveyors). The purveyors were also involved in national and international collaboration and development. Multilevel strategies included manualized intervention, in-practice training methods, organizational responsibility, media strategies, service evaluation, staff motivation maintenance, quality assurance, and proposals for new law regulations. These case history aspects will be discussed in relation to the implementation literature, focusing on possible applicability across settings.

Language (In)competency, Communication Strategies, and the Development of an International Academic Teacher Identity: Becoming an Audible Minority

ERIC Educational Resources Information Center

McAllum, Kirstie

2017-01-01

Despite universities' enthusiasm for internationalization, international academic mobility requires considerable institutional and cultural adjustment in terms of teaching and supervision styles, research expectations, and departmental relationships. Although language competency underpins these practices, research on international academics has…

Discursive Negotiation of Face via Email: Professional Identity Development in School Counseling Supervision

ERIC Educational Resources Information Center

Gordon, Cynthia; Luke, Melissa

2012-01-01

This article examines email exchanges between eight Master's-level school counseling student interns and their internship supervisor to investigate how politeness strategies contribute to professional identity development in supervisory discourse. Our analysis demonstrates how identity development occurs via collaborative facework accomplished…

Vicarious Traumatization, Trauma-Sensitive Supervision, and Counselor Preparation

ERIC Educational Resources Information Center

Sommer, Carol A.

2008-01-01

Counselor educators have an ethical responsibility to prepare counselors and supervisors to detect and resolve vicarious traumatization in themselves and their supervisees. This article reviews relevant literature on vicarious traumatization and strategies to mitigate it. Also included is a review of the American Counseling Association's (2005)…

Investigations in Pure Mathematics: A Constructivist Perspective.

ERIC Educational Resources Information Center

Hirst, Keith; Shiu, Christine

1995-01-01

Discusses an investigative, constructivist approach in the context of undergraduate mathematics, with particular reference to pure mathematics, general aims and objectives, assessment strategies, and problems of supervision that affect tutors and lecturers using this approach. Gives students' views on their experiences in this mode of working. (19…

40 CFR 1.39 - Office of Policy, Planning and Evaluation.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Administrator on Agency policy and planning issues and as such is responsible for supervision and management of the following: Policy analysis; standards and regulations; and management strategy and evaluation. The Assistant Administrator represents the Administrator with Congress and the Office of Management and Budget...

40 CFR 1.39 - Office of Policy, Planning and Evaluation.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Administrator on Agency policy and planning issues and as such is responsible for supervision and management of the following: Policy analysis; standards and regulations; and management strategy and evaluation. The Assistant Administrator represents the Administrator with Congress and the Office of Management and Budget...

STRATEGIES FOR INSTRUCTIONAL CHANGE--PROMISING IDEAS AND PERPLEXING PROBLEMS.

ERIC Educational Resources Information Center

HARRIS, BEN M.

SUPERVISION, BECAUSE IT COVERS A MULTIPLICITY OF TASKS PERFORMED IN NO FIXED LOCUS, ITS ALMOST IMMUNE TO SYSTEMATIC EVALUATION. ELABORATE DESCRIPTIVE STUDIES ARE NEEDED (POSSIBLY REPLICATIONS OF EDUCATIONAL ADMINISTRATION STUDIES) ON SUCH TOPICS AS RESISTANCE TO CHANGE AND SUPERVISOR-SUPERVISOR RELATIONSHIPS. THEORETICAL MODELS AND CONCEPTS WHICH…

Understanding parental motivators and barriers to uptake of child poison safety strategies: a qualitative study.

PubMed

Gibbs, L; Waters, E; Sherrard, J; Ozanne-Smith, J; Robinson, J; Young, S; Hutchinson, A

2005-12-01

To develop an understanding of factors acting as barriers and motivators to parental uptake of child poison safety strategies. A qualitative study involving semistructured interviews and focus groups. A grounded theory approach was used for the collection and analysis of data. Sixty five parents of children under 5 years of age, some of whom had experienced an unintentional child poisoning incident. A range of knowledge based, environmental, and behavioral barriers to comprehensive parental uptake of poison safety practices were identified. As a result there tended to be only partial implementation of safety initiatives in the home. Selection of safety practices was often guided by the interests and behaviors of the child. This made the child vulnerable to changes in the home environment, inadequate supervision, and/or shifts in their own behavior and developmental ability. Personal or vicarious exposure of a parent to a child poisoning incident was a significant motivator for parental review of safety practices. Environmental measures targeting child resistant containers, warning labels, and lockable poisons cupboards will support parents' efforts to maintain poison safety. Additional education campaigns using stories of actual poisoning incidents may help to increase awareness of risk and encourage increased uptake.

Testing a Model of Functional Impairment in Telephone Crisis Support Workers.

PubMed

Kitchingman, Taneile A; Wilson, Coralie J; Caputi, Peter; Wilson, Ian; Woodward, Alan

2017-11-01

It is well known that helping professionals experience functional impairment related to elevated symptoms of psychological distress as a result of frequent empathic engagement with distressed others. Whether telephone crisis support workers are impacted in a similar way is not currently reported in the literature. The purpose of this study was to test a hypothesized model of factors contributing to functional impairment in telephone crisis support workers. A national sample of 210 telephone crisis support workers completed an online survey including measures of emotion regulation, symptoms of general psychological distress and suicidal ideation, intentions to seek help for symptoms, and functional impairment. Structural equation modeling was used to test the fit of the data to the hypothesized model. Goodness-of-fit indices were adequate and supported the interactive effects of emotion regulation, general psychological distress, suicidal ideation, and intentions to seek help for ideation on functional impairment. These results warrant the deliberate management of telephone crisis support workers' impairment through service selection, training, supervision, and professional development strategies. Future research replicating and extending this model will further inform the modification and/or development of strategies to optimize telephone crisis support workers' well-being and delivery of support to callers.

Quantitative consensus of supervised learners for diffuse lung parenchymal HRCT patterns

NASA Astrophysics Data System (ADS)

Raghunath, Sushravya; Rajagopalan, Srinivasan; Karwoski, Ronald A.; Bartholmai, Brian J.; Robb, Richard A.

2013-03-01

Automated lung parenchymal classification usually relies on supervised learning of expert chosen regions representative of the visually differentiable HRCT patterns specific to different pathologies (eg. emphysema, ground glass, honey combing, reticular and normal). Considering the elusiveness of a single most discriminating similarity measure, a plurality of weak learners can be combined to improve the machine learnability. Though a number of quantitative combination strategies exist, their efficacy is data and domain dependent. In this paper, we investigate multiple (N=12) quantitative consensus approaches to combine the clusters obtained with multiple (n=33) probability density-based similarity measures. Our study shows that hypergraph based meta-clustering and probabilistic clustering provides optimal expert-metric agreement.

Enhancing the intrinsic work motivation of community nutrition educators: how supportive supervision and job design foster autonomy.

PubMed

Dickin, Katherine L; Dollahite, Jamie S; Habicht, Jean-Pierre

2011-01-01

Mixed-methods research investigated the work motivation of paraprofessional community nutrition educators (CNEs) delivering a long-running public health nutrition program. In interviews, CNEs (n = 9) emphasized "freedom," supportive supervision, and "making a difference" as key sources of motivation. Community nutrition educator surveys (n = 115) confirmed high levels of autonomy, which was associated with supervisors' delegation and support, CNE decision-making on scheduling and curricula, and job satisfaction. Supervisors (n = 32) rated CNEs' job design as having inherently motivating characteristics comparable to professional jobs. Supervisory strategies can complement job design to create structured, supportive contexts that maintain fidelity, while granting autonomy to paraprofessionals to enhance intrinsic work motivation.

Caught in the Web: A Review of Web-Based Suicide Prevention

PubMed Central

Lai, Mee Huong; Maniam, Thambu; Ravindran, Arun V

2014-01-01

Background Suicide is a serious and increasing problem worldwide. The emergence of the digital world has had a tremendous impact on people’s lives, both negative and positive, including an impact on suicidal behaviors. Objective Our aim was to perform a review of the published literature on Web-based suicide prevention strategies, focusing on their efficacy, benefits, and challenges. Methods The EBSCOhost (Medline, PsycINFO, CINAHL), OvidSP, the Cochrane Library, and ScienceDirect databases were searched for literature regarding Web-based suicide prevention strategies from 1997 to 2013 according to the modified PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The selected articles were subjected to quality rating and data extraction. Results Good quality literature was surprisingly sparse, with only 15 fulfilling criteria for inclusion in the review, and most were rated as being medium to low quality. Internet-based cognitive behavior therapy (iCBT) reduced suicidal ideation in the general population in two randomized controlled trial (effect sizes, d=0.04-0.45) and in a clinical audit of depressed primary care patients. Descriptive studies reported improved accessibility and reduced barriers to treatment with Internet among students. Besides automated iCBT, preventive strategies were mainly interactive (email communication, online individual or supervised group support) or information-based (website postings). The benefits and potential challenges of accessibility, anonymity, and text-based communication as key components for Web-based suicide prevention strategies were emphasized. Conclusions There is preliminary evidence that suggests the probable benefit of Web-based strategies in suicide prevention. Future larger systematic research is needed to confirm the effectiveness and risk benefit ratio of such strategies. PMID:24472876

A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain.

PubMed

Hall, L O; Bensaid, A M; Clarke, L P; Velthuizen, R P; Silbiger, M S; Bezdek, J C

1992-01-01

Magnetic resonance (MR) brain section images are segmented and then synthetically colored to give visual representations of the original data with three approaches: the literal and approximate fuzzy c-means unsupervised clustering algorithms, and a supervised computational neural network. Initial clinical results are presented on normal volunteers and selected patients with brain tumors surrounded by edema. Supervised and unsupervised segmentation techniques provide broadly similar results. Unsupervised fuzzy algorithms were visually observed to show better segmentation when compared with raw image data for volunteer studies. For a more complex segmentation problem with tumor/edema or cerebrospinal fluid boundary, where the tissues have similar MR relaxation behavior, inconsistency in rating among experts was observed, with fuzz-c-means approaches being slightly preferred over feedforward cascade correlation results. Various facets of both approaches, such as supervised versus unsupervised learning, time complexity, and utility for the diagnostic process, are compared.

Evaluation of SLAR and thematic mapper MSS data for forest cover mapping using computer-aided analysis techniques

NASA Technical Reports Server (NTRS)

Hoffer, R. M. (Principal Investigator); Knowlton, D. J.; Dean, M. E.

1981-01-01

A set of training statistics for the 30 meter resolution simulated thematic mapper MSS data was generated based on land use/land cover classes. In addition to this supervised data set, a nonsupervised multicluster block of training statistics is being defined in order to compare the classification results and evaluate the effect of the different training selection methods on classification performance. Two test data sets, defined using a stratified sampling procedure incorporating a grid system with dimensions of 50 lines by 50 columns, and another set based on an analyst supervised set of test fields were used to evaluate the classifications of the TMS data. The supervised training data set generated training statistics, and a per point Gaussian maximum likelihood classification of the 1979 TMS data was obtained. The August 1980 MSS data was radiometrically adjusted. The SAR data was redigitized and the SAR imagery was qualitatively analyzed.

Claims to the benefits of clinical supervision: A critique of the policy development process and outcomes in New South Wales, Australia.

PubMed

White, Edward

2017-02-01

The historical development of clinical supervision has been variously interpreted in the international literature. Creditable evidence has accumulated, particularly over the past two decades, to show that clinical supervision has a positive demonstrable effect on supervisees. However, comparatively little research evidence has entered the public domain on any effect that clinical supervision might have on other nominated outcomes. In Australia, developments in clinical supervision were recently prompted by initiatives at national and state levels. Since 2010, lead agencies for these have sought feedback from professional bodies and organizations on a number of inter-related draft policy documents. The present article tracked changes over time between the draft and final versions of these documents in New South Wales, and reviewed the original sources of literature cited within them. The strength of evidence upon which the final published versions were reportedly predicated was scrutinized. Upon examination, claims to the wider benefits of clinical supervision were found to be unconvincingly supported, not least because the examples selected by the agencies from the international literature and cited in their respective documents were either silent, parsimonious, or contradictory. Many claims remain at the level of folklore/hypothetical propositions, therefore, and stay worthy of rigorous empirical testing and faithful public reporting. Such investigations have been acknowledged as notoriously difficult to conduct. The present article identified noteworthy examples in the contemporary literature that signpost robust ways forward for empirical outcomes-orientated research, the findings from which might strengthen the evidence base of future policy documents. © 2017 Australian College of Mental Health Nurses Inc.

Kernel and divergence techniques in high energy physics separations

NASA Astrophysics Data System (ADS)

Bouř, Petr; Kůs, Václav; Franc, Jiří

2017-10-01

Binary decision trees under the Bayesian decision technique are used for supervised classification of high-dimensional data. We present a great potential of adaptive kernel density estimation as the nested separation method of the supervised binary divergence decision tree. Also, we provide a proof of alternative computing approach for kernel estimates utilizing Fourier transform. Further, we apply our method to Monte Carlo data set from the particle accelerator Tevatron at DØ experiment in Fermilab and provide final top-antitop signal separation results. We have achieved up to 82 % AUC while using the restricted feature selection entering the signal separation procedure.

Mentoring for Mentors: The Music Mentor Plus Program

ERIC Educational Resources Information Center

Berg, Margaret H.; Rickels, David A.

2018-01-01

The Music Mentor Plus program was designed to introduce mentoring strategies teachers can implement during supervision of student teachers and early field experience interns, while also fostering connections between field-based modeling and university methods course content. Throughout the 2015-2016 school year, seven music teachers and two…

New Options for the Modern Student. Info Brief. Number 50

ERIC Educational Resources Information Center

Eaton, Elizabeth; Nelson, Anne

2007-01-01

This issue of "Infobrief" concludes the exploration into the potential for high school reform in the United States. Earlier issues defined five components of an Association for Supervision and Curriculum Development (ASCD) proposal to effect reform: (1) multiple measures of assessment; (2) personalized learning strategies; (3) new models of…

Using nonfaculty registered nurses to facilitate high-fidelity human patient simulation activities.

PubMed

Foster, Janet G; Sheriff, Susan; Cheney, Susan

2008-01-01

Maximizing faculty resources using nonfaculty registered nurses to supervise high-fidelity human-patient simulation is an innovative strategy for addressing the nursing faculty shortage and preparing graduates to practice safely in hospitals. The authors describe their use of nonfaculty registered nurses and its outcomes.

Yearbook Production, English, Journalism: 5116.153.

ERIC Educational Resources Information Center

Miller, Alfreda R.

An authorized course of instruction for the Quinmester Program in Dade County (Florida) public schools is given for yearbook production. This advanced class is for staff who assign and supervise all photography, write and edit all copy, sell advertising and subscriptions, and handle the publication finances. Specific teaching strategies are given…

Anti-Bullying Practices in American Schools: Perspectives of School Psychologists

ERIC Educational Resources Information Center

Sherer, Yiping C.; Nickerson, Amanda B.

2010-01-01

A random sample of 213 school psychologists working in a school setting completed a survey on their schools' current anti-bullying practices. Talking with bullies following bullying incidents, disciplinary consequences for bullies, and increasing adult supervision were the three most frequently used strategies. Peer juries/court, an anti-bullying…

Integrating Social Justice in Group Work: The Next Decade

ERIC Educational Resources Information Center

Hays, Danica G.; Arredondo, Patricia; Gladding, Samuel T.; Toporek, Rebecca L.

2010-01-01

Group work can be an effective outlet for facilitating client empowerment at individual and systemic levels. This article outlines strategies for increasing attention to social justice issues in group work over the next decade within education, training, supervision, practice, and research. Drawing from historical perspectives, current literature,…

Reclaiming Instructional Supervision: Using Solution-Focused Strategies to Promote Teacher Development

ERIC Educational Resources Information Center

Stark, Marcella D.; McGhee, Marla W.; Jimerson, Jo Beth

2017-01-01

To positively affect teacher quality, instructional leaders must engage teachers in ways that support improved practice and seek to empower teachers as creative and knowledgeable risk takers. A collaborative, strengths-based approach that promotes teacher growth, rather than one that conditions teachers to await administrator directive or…

Employee Alcoholism and Assistance Programs: Adapting an Innovation for College and University Faculty.

ERIC Educational Resources Information Center

Roman, Paul M.

1980-01-01

Strategies for initiating employee alcoholism and assistance programs in higher education institutions are considered. Barriers to faculty utilization of such programs include visibility of work performance and nature of supervision. Modes for adapting existing program designs to higher education are suggested. (Author/JMF)

School Leaders' Perceptions about Incompetent Teachers: Implications for Supervision and Evaluation

ERIC Educational Resources Information Center

Range, Bret G.; Duncan, Heather E.; Scherz, Susan Day; Haines, Courtney A.

2012-01-01

This study explored Wyoming school leaders' perceptions about the traits of incompetent teachers, strategies used to work with incompetent teachers, and the barriers to their dismissal. Most importantly, this study differentiated how principals and superintendents viewed incompetency issues. Some major findings include school leaders' beliefs that…

Dynamic Strategic Planning in a Professional Knowledge-Based Organization

ERIC Educational Resources Information Center

Olivarius, Niels de Fine; Kousgaard, Marius Brostrom; Reventlow, Susanne; Quelle, Dan Grevelund; Tulinius, Charlotte

2010-01-01

Professional, knowledge-based institutions have a particular form of organization and culture that makes special demands on the strategic planning supervised by research administrators and managers. A model for dynamic strategic planning based on a pragmatic utilization of the multitude of strategy models was used in a small university-affiliated…

Applying active learning to supervised word sense disambiguation in MEDLINE.

PubMed

Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua

2013-01-01

This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models.

Applying active learning to supervised word sense disambiguation in MEDLINE

PubMed Central

Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua

2013-01-01

Objectives This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. Methods We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Results Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. Conclusions This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models. PMID:23364851

Reliability and validity of assessing subspecialty level of faculty anesthesiologists' supervision of anesthesiology residents.

PubMed

De Oliveira, Gildasio S; Dexter, Franklin; Bialek, Jane M; McCarthy, Robert J

2015-01-01

Supervision of anesthesiology residents is a major responsibility of faculty (academic) anesthesiologists. Supervision can be evaluated daily for individual anesthesiologists using a 9-question instrument. Faculty anesthesiologists with lesser individual scores contribute to lesser departmental (global) scores. Low (<3, "frequent") department-wide evaluations of supervision are associated with more mistakes with negative consequences to patients. With the long-term aim for residency programs to be evaluated partly based on the quality of their resident supervision, we assessed the 9-item instrument's reliability and validity when used to compare anesthesia programs' rotations nationwide. One thousand five hundred residents in the American Society of Anesthesiologists' directory of anesthesia trainees were randomly selected to be participants. Residents were contacted via e-mail and requested to complete a Web-based survey. Nonrespondents were mailed a paper version of the survey. Internal consistency of the supervision scale was excellent, with Cronbach's α = 0.909 (95% CI, 0.896-0.922, n = 641 respondents). Discriminant validity was found based on absence of rank correlation of supervision score with characteristics of the respondents and programs (all P > 0.10): age, hours worked per week, female, year of anesthesia training, weeks in the current rotation, sequence of survey response, size of residency class, and number of survey respondents from the current rotation and program. Convergent validity was found based on significant positive correlation between supervision score and variables related to safety culture (all P < 0.0001): "Overall perceptions of patient safety," "Teamwork within units," "Nonpunitive response to errors," "Handoffs and transitions," "Feedback and communication about error," "Communication openness," and rotation's "overall grade on patient safety." Convergent validity was found also based on significant negative correlation with variables related to the individual resident's burnout (all P < 0.0001): "I feel burnout from my work," "I have become more callous toward people since I took this job," and numbers of "errors with potential negative consequences to patients [that you have] made and/or witnessed." Usefulness was shown by supervision being predicted by the same 1 variable for each of 3 regression tree criteria: "Teamwork within [the rotation]" (e.g., "When one area in this rotation gets busy, others help out"). Evaluation of the overall quality of supervision of residents by faculty anesthesiologists depends on the reliability and validity of the instrument. Our results show that the 9-item de Oliveira Filho et al. supervision scale can be applied for overall (department, rotation) assessment of anesthesia training programs.

Parameters of the Teacher Aide Role: A Study of Teacher Aides in Selected Gulf Coast School Districts. Final Report.

ERIC Educational Resources Information Center

DeHart, Ruth

A survey was conducted to provide information of use to school administrators as they plan for initial or continued use of paraprofessional personnel. A questionnaire was developed for use in interviews with 63 principals, supervising teachers and librarians, and teacher aides in 17 randomly selected Texas school districts in the GUSREDA (Gulf…

Training Undergraduates as Co-Leaders of Multifamily Counseling Groups

ERIC Educational Resources Information Center

Kuppersmith, Judith; And Others

1977-01-01

A field-training pilot program at Richmond College in 1973 is described. It used undergraduates as leaders for multifamily counseling groups. Discussed are program planning, student selection, training procedures, supervision methods, and project benefits. (ND)

34 CFR 655.31 - What general selection criteria does the Secretary use?

Code of Federal Regulations, 2012 CFR

2012-07-01

... the actual teaching and supervision of students; and (iii) The time that each person referred to in... project. (2) The Secretary looks for information that shows methods of evaluation that are appropriate for...

34 CFR 655.31 - What general selection criteria does the Secretary use?

Code of Federal Regulations, 2011 CFR

2011-07-01

... the actual teaching and supervision of students; and (iii) The time that each person referred to in... project. (2) The Secretary looks for information that shows methods of evaluation that are appropriate for...

34 CFR 655.31 - What general selection criteria does the Secretary use?

Code of Federal Regulations, 2014 CFR

2014-07-01

... the actual teaching and supervision of students; and (iii) The time that each person referred to in... project. (2) The Secretary looks for information that shows methods of evaluation that are appropriate for...

34 CFR 655.31 - What general selection criteria does the Secretary use?

Code of Federal Regulations, 2010 CFR

2010-07-01

... the actual teaching and supervision of students; and (iii) The time that each person referred to in... project. (2) The Secretary looks for information that shows methods of evaluation that are appropriate for...

34 CFR 655.31 - What general selection criteria does the Secretary use?

Code of Federal Regulations, 2013 CFR

2013-07-01

... the actual teaching and supervision of students; and (iii) The time that each person referred to in... project. (2) The Secretary looks for information that shows methods of evaluation that are appropriate for...

A Large-scale Distributed Indexed Learning Framework for Data that Cannot Fit into Memory

DTIC Science & Technology

2015-03-27

learn a classifier. Integrating three learning techniques (online, semi-supervised and active learning ) together with a selective sampling with minimum communication between the server and the clients solved this problem.

Impervious surface mapping with Quickbird imagery

PubMed Central

Lu, Dengsheng; Hetrick, Scott; Moran, Emilio

2010-01-01

This research selects two study areas with different urban developments, sizes, and spatial patterns to explore the suitable methods for mapping impervious surface distribution using Quickbird imagery. The selected methods include per-pixel based supervised classification, segmentation-based classification, and a hybrid method. A comparative analysis of the results indicates that per-pixel based supervised classification produces a large number of “salt-and-pepper” pixels, and segmentation based methods can significantly reduce this problem. However, neither method can effectively solve the spectral confusion of impervious surfaces with water/wetland and bare soils and the impacts of shadows. In order to accurately map impervious surface distribution from Quickbird images, manual editing is necessary and may be the only way to extract impervious surfaces from the confused land covers and the shadow problem. This research indicates that the hybrid method consisting of thresholding techniques, unsupervised classification and limited manual editing provides the best performance. PMID:21643434

Individual predictions of eye-movements with dynamic scenes

NASA Astrophysics Data System (ADS)

Barth, Erhardt; Drewes, Jan; Martinetz, Thomas

2003-06-01

We present a model that predicts saccadic eye-movements and can be tuned to a particular human observer who is viewing a dynamic sequence of images. Our work is motivated by applications that involve gaze-contingent interactive displays on which information is displayed as a function of gaze direction. The approach therefore differs from standard approaches in two ways: (1) we deal with dynamic scenes, and (2) we provide means of adapting the model to a particular observer. As an indicator for the degree of saliency we evaluate the intrinsic dimension of the image sequence within a geometric approach implemented by using the structure tensor. Out of these candidate saliency-based locations, the currently attended location is selected according to a strategy found by supervised learning. The data are obtained with an eye-tracker and subjects who view video sequences. The selection algorithm receives candidate locations of current and past frames and a limited history of locations attended in the past. We use a linear mapping that is obtained by minimizing the quadratic difference between the predicted and the actually attended location by gradient descent. Being linear, the learned mapping can be quickly adapted to the individual observer.

Talent identification and specialization in sport: an overview of some unanswered questions.

PubMed

Gonçalves C, E B; Rama L, M L; Figueiredo, António B

2012-12-01

The theory of deliberate practice postulates that experts are always made, not born. This theory translated to the youth-sport domain means that if athletes want to be high-level performers, they need to deliberately engage in practice during the specialization years, spending time wisely and always focusing on tasks that challenge current performance. Sport organizations in several countries around the world created specialized training centers where selected young talents practice under the supervision of experienced coaches in order to become professional athletes and integrate onto youth national teams. Early specialization and accurate observation by expert coaches or scouts remain the only tools to find a potential excellent athlete among a great number of participants. In the current study, the authors present 2 of the problems raised by talent search and the risks of such a search. Growth and maturation are important concepts to better understand the identification, selection, and development processes of young athletes. However, the literature suggests that sport-promoting strategies are being maintained despite the increased demands in the anthropometric characteristics of professional players and demands of actual professional soccer competitions. On the other hand, identifying biological variables that can predict performance is almost impossible.

Managing complex processing of medical image sequences by program supervision techniques

NASA Astrophysics Data System (ADS)

Crubezy, Monica; Aubry, Florent; Moisan, Sabine; Chameroy, Virginie; Thonnat, Monique; Di Paola, Robert

1997-05-01

Our objective is to offer clinicians wider access to evolving medical image processing (MIP) techniques, crucial to improve assessment and quantification of physiological processes, but difficult to handle for non-specialists in MIP. Based on artificial intelligence techniques, our approach consists in the development of a knowledge-based program supervision system, automating the management of MIP libraries. It comprises a library of programs, a knowledge base capturing the expertise about programs and data and a supervision engine. It selects, organizes and executes the appropriate MIP programs given a goal to achieve and a data set, with dynamic feedback based on the results obtained. It also advises users in the development of new procedures chaining MIP programs.. We have experimented the approach for an application of factor analysis of medical image sequences as a means of predicting the response of osteosarcoma to chemotherapy, with both MRI and NM dynamic image sequences. As a result our program supervision system frees clinical end-users from performing tasks outside their competence, permitting them to concentrate on clinical issues. Therefore our approach enables a better exploitation of possibilities offered by MIP and higher quality results, both in terms of robustness and reliability.

Wibangbe: the making of a documentary about the training and supervision of traditional birth attendants in Zaire.

PubMed

Vansintejan, G A; Glaser, W A

1988-01-01

During the 1980's in Karawa, Northwestern Zaire, a motion picture was produced which showed the interaction of the modern and traditional systems. The maternity center of the Karawa hospital was central to this effort. Traditional birth attendants (TBAs) became leading participants. Locally trained midwives were key trainers. The training and supervision programs had been ongoing for 2 years when Karawa was chosen as the movie site in 1986. The script was written by a midwife who had trained trainers of TBAs and TBAs themselves. All the steps in the selection, training, supervision, and supplying of TBAs in Karawa and its neighboring villages are included in the script. A Zairian team shot the script. The 5-member crew were employees of the Office Zairois de la Radio-Television (OZRT), the country's official television, radio, and film service. "Wibange" has separate sound tracks in French and English. Costs of the movie were met by contributions from both the US Agency for International Development and from Zaire. "Wibange--Traditional Birth Attendants: Their Training and Supervision" was developed in New York City. There are 2 final productions, a French and an English version. Running time is 23 minutes.

Active Semi-Supervised Community Detection Based on Must-Link and Cannot-Link Constraints

PubMed Central

Cheng, Jianjun; Leng, Mingwei; Li, Longjie; Zhou, Hanhai; Chen, Xiaoyun

2014-01-01

Community structure detection is of great importance because it can help in discovering the relationship between the function and the topology structure of a network. Many community detection algorithms have been proposed, but how to incorporate the prior knowledge in the detection process remains a challenging problem. In this paper, we propose a semi-supervised community detection algorithm, which makes full utilization of the must-link and cannot-link constraints to guide the process of community detection and thereby extracts high-quality community structures from networks. To acquire the high-quality must-link and cannot-link constraints, we also propose a semi-supervised component generation algorithm based on active learning, which actively selects nodes with maximum utility for the proposed semi-supervised community detection algorithm step by step, and then generates the must-link and cannot-link constraints by accessing a noiseless oracle. Extensive experiments were carried out, and the experimental results show that the introduction of active learning into the problem of community detection makes a success. Our proposed method can extract high-quality community structures from networks, and significantly outperforms other comparison methods. PMID:25329660

Active learning for semi-supervised clustering based on locally linear propagation reconstruction.

PubMed

Chang, Chin-Chun; Lin, Po-Yi

2015-03-01

The success of semi-supervised clustering relies on the effectiveness of side information. To get effective side information, a new active learner learning pairwise constraints known as must-link and cannot-link constraints is proposed in this paper. Three novel techniques are developed for learning effective pairwise constraints. The first technique is used to identify samples less important to cluster structures. This technique makes use of a kernel version of locally linear embedding for manifold learning. Samples neither important to locally linear propagation reconstructions of other samples nor on flat patches in the learned manifold are regarded as unimportant samples. The second is a novel criterion for query selection. This criterion considers not only the importance of a sample to expanding the space coverage of the learned samples but also the expected number of queries needed to learn the sample. To facilitate semi-supervised clustering, the third technique yields inferred must-links for passing information about flat patches in the learned manifold to semi-supervised clustering algorithms. Experimental results have shown that the learned pairwise constraints can capture the underlying cluster structures and proven the feasibility of the proposed approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

The need for innovative strategies to improve immunisation services in rural Zimbabwe.

PubMed

Chadambuka, Addmore; Chimusoro, Anderson; Apollo, Tsitsilina; Tshimanga, Mufuta; Namusisi, Olivia; Luman, Elizabeth T

2012-01-01

Gokwe South, a rural district in Midlands Province, Zimbabwe, reported the lowest rate of immunisation coverage in the country in 2005: 55 per cent of children vaccinated with three doses of diphtheria/pertussis/tetanus vaccine (DPT3) and 35 per cent dropout between the first and third dose of DPT. In January 2007, the authors assessed local barriers to immunisation and proposed strategies to improve immunisation rates in the district, in the face of nationwide economic and political challenges. A situational analysis was performed to assess barriers to immunisation using focus-group discussions with health workers, key informant interviews with health management and community leaders, and desk reviews of records. Responses were categorised and solutions proposed. Health workers and key informants reported that immunisation service delivery was hampered by insufficient availability of gas for cold-chain equipment, limited transport and fuel to conduct basic activities, and inadequate staff and supervision. Improving coverage will require prioritising gas for vaccine cold-chain equipment, identifying reliable transportation or alternative transportation solutions, and increased staff, training and supervision. Local assessment is critical to pinpointing site-specific barriers, and innovative strategies are needed to overcome existing contextual challenges. © 2012 The Author(s). Disasters © Overseas Development Institute, 2012.

Supervised group Lasso with applications to microarray data analysis

PubMed Central

Ma, Shuangge; Song, Xiao; Huang, Jian

2007-01-01

Background A tremendous amount of efforts have been devoted to identifying genes for diagnosis and prognosis of diseases using microarray gene expression data. It has been demonstrated that gene expression data have cluster structure, where the clusters consist of co-regulated genes which tend to have coordinated functions. However, most available statistical methods for gene selection do not take into consideration the cluster structure. Results We propose a supervised group Lasso approach that takes into account the cluster structure in gene expression data for gene selection and predictive model building. For gene expression data without biological cluster information, we first divide genes into clusters using the K-means approach and determine the optimal number of clusters using the Gap method. The supervised group Lasso consists of two steps. In the first step, we identify important genes within each cluster using the Lasso method. In the second step, we select important clusters using the group Lasso. Tuning parameters are determined using V-fold cross validation at both steps to allow for further flexibility. Prediction performance is evaluated using leave-one-out cross validation. We apply the proposed method to disease classification and survival analysis with microarray data. Conclusion We analyze four microarray data sets using the proposed approach: two cancer data sets with binary cancer occurrence as outcomes and two lymphoma data sets with survival outcomes. The results show that the proposed approach is capable of identifying a small number of influential gene clusters and important genes within those clusters, and has better prediction performance than existing methods. PMID:17316436

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications

PubMed Central

Qian, Guoqi; Wu, Yuehua; Ferrari, Davide; Qiao, Puxue; Hollande, Frédéric

2016-01-01

Regression clustering is a mixture of unsupervised and supervised statistical learning and data mining method which is found in a wide range of applications including artificial intelligence and neuroscience. It performs unsupervised learning when it clusters the data according to their respective unobserved regression hyperplanes. The method also performs supervised learning when it fits regression hyperplanes to the corresponding data clusters. Applying regression clustering in practice requires means of determining the underlying number of clusters in the data, finding the cluster label of each data point, and estimating the regression coefficients of the model. In this paper, we review the estimation and selection issues in regression clustering with regard to the least squares and robust statistical methods. We also provide a model selection based technique to determine the number of regression clusters underlying the data. We further develop a computing procedure for regression clustering estimation and selection. Finally, simulation studies are presented for assessing the procedure, together with analyzing a real data set on RGB cell marking in neuroscience to illustrate and interpret the method. PMID:27212939

Identification of Alfalfa Leaf Diseases Using Image Recognition Technology

PubMed Central

Qin, Feng; Liu, Dongxia; Sun, Bingda; Ruan, Liu; Ma, Zhanhong; Wang, Haiguang

2016-01-01

Common leaf spot (caused by Pseudopeziza medicaginis), rust (caused by Uromyces striatus), Leptosphaerulina leaf spot (caused by Leptosphaerulina briosiana) and Cercospora leaf spot (caused by Cercospora medicaginis) are the four common types of alfalfa leaf diseases. Timely and accurate diagnoses of these diseases are critical for disease management, alfalfa quality control and the healthy development of the alfalfa industry. In this study, the identification and diagnosis of the four types of alfalfa leaf diseases were investigated using pattern recognition algorithms based on image-processing technology. A sub-image with one or multiple typical lesions was obtained by artificial cutting from each acquired digital disease image. Then the sub-images were segmented using twelve lesion segmentation methods integrated with clustering algorithms (including K_means clustering, fuzzy C-means clustering and K_median clustering) and supervised classification algorithms (including logistic regression analysis, Naive Bayes algorithm, classification and regression tree, and linear discriminant analysis). After a comprehensive comparison, the segmentation method integrating the K_median clustering algorithm and linear discriminant analysis was chosen to obtain lesion images. After the lesion segmentation using this method, a total of 129 texture, color and shape features were extracted from the lesion images. Based on the features selected using three methods (ReliefF, 1R and correlation-based feature selection), disease recognition models were built using three supervised learning methods, including the random forest, support vector machine (SVM) and K-nearest neighbor methods. A comparison of the recognition results of the models was conducted. The results showed that when the ReliefF method was used for feature selection, the SVM model built with the most important 45 features (selected from a total of 129 features) was the optimal model. For this SVM model, the recognition accuracies of the training set and the testing set were 97.64% and 94.74%, respectively. Semi-supervised models for disease recognition were built based on the 45 effective features that were used for building the optimal SVM model. For the optimal semi-supervised models built with three ratios of labeled to unlabeled samples in the training set, the recognition accuracies of the training set and the testing set were both approximately 80%. The results indicated that image recognition of the four alfalfa leaf diseases can be implemented with high accuracy. This study provides a feasible solution for lesion image segmentation and image recognition of alfalfa leaf disease. PMID:27977767

Identification of Alfalfa Leaf Diseases Using Image Recognition Technology.

PubMed

Qin, Feng; Liu, Dongxia; Sun, Bingda; Ruan, Liu; Ma, Zhanhong; Wang, Haiguang

2016-01-01

Common leaf spot (caused by Pseudopeziza medicaginis), rust (caused by Uromyces striatus), Leptosphaerulina leaf spot (caused by Leptosphaerulina briosiana) and Cercospora leaf spot (caused by Cercospora medicaginis) are the four common types of alfalfa leaf diseases. Timely and accurate diagnoses of these diseases are critical for disease management, alfalfa quality control and the healthy development of the alfalfa industry. In this study, the identification and diagnosis of the four types of alfalfa leaf diseases were investigated using pattern recognition algorithms based on image-processing technology. A sub-image with one or multiple typical lesions was obtained by artificial cutting from each acquired digital disease image. Then the sub-images were segmented using twelve lesion segmentation methods integrated with clustering algorithms (including K_means clustering, fuzzy C-means clustering and K_median clustering) and supervised classification algorithms (including logistic regression analysis, Naive Bayes algorithm, classification and regression tree, and linear discriminant analysis). After a comprehensive comparison, the segmentation method integrating the K_median clustering algorithm and linear discriminant analysis was chosen to obtain lesion images. After the lesion segmentation using this method, a total of 129 texture, color and shape features were extracted from the lesion images. Based on the features selected using three methods (ReliefF, 1R and correlation-based feature selection), disease recognition models were built using three supervised learning methods, including the random forest, support vector machine (SVM) and K-nearest neighbor methods. A comparison of the recognition results of the models was conducted. The results showed that when the ReliefF method was used for feature selection, the SVM model built with the most important 45 features (selected from a total of 129 features) was the optimal model. For this SVM model, the recognition accuracies of the training set and the testing set were 97.64% and 94.74%, respectively. Semi-supervised models for disease recognition were built based on the 45 effective features that were used for building the optimal SVM model. For the optimal semi-supervised models built with three ratios of labeled to unlabeled samples in the training set, the recognition accuracies of the training set and the testing set were both approximately 80%. The results indicated that image recognition of the four alfalfa leaf diseases can be implemented with high accuracy. This study provides a feasible solution for lesion image segmentation and image recognition of alfalfa leaf disease.

Developing Leadership Strategies inside the Politics of Language, Diversity, and Change

ERIC Educational Resources Information Center

Tooms, Autumn

2004-01-01

Currently in her third year as principal of the Leighton Elementary School, Georgia Henson faces conflicting pressures in a district where the priorities of Anglo and Hispanic communities may diverge. This case raises questions regarding administration and supervision of schools in multicultural contexts where political tensions are rising. In…

Catching up to the CCSS: A Principal Navigates Out-of-Subject Instructional Leadership

ERIC Educational Resources Information Center

Quebec Fuentes, Sarah; Switzer, J. Matt; Jimerson, Jo Beth

2015-01-01

This case provides principals and principal licensure candidates an opportunity to delve into the nuances of supervising teachers in content areas, which may be unfamiliar, and to explore strategies for increasing knowledge about the structures and emphases of the "Common Core State Standards" (CCSS). The case presents issues related to…

The Evolution of Video Game Affordances and Implications for Parental Mediation

ERIC Educational Resources Information Center

Jiow, Hee Jhee; Lim, Sun Sun

2012-01-01

Video games have grown in number, variety, and consumer market penetration, encroaching more aggressively into the domestic realm. Within the home therefore, parents whose children play video games have to exercise mediation and supervision. As video games evolve, parental mediation strategies have also had to keep pace, albeit not always…

Building Principal Pipelines: A Strategy to Strengthen Education Leadership. Update

ERIC Educational Resources Information Center

Syed, Sarosh

2015-01-01

School leadership is second only to teaching among school influences on student success, according to research. So what can a school district do to produce a large and steady supply of top-notch school principals--and support their effective supervision? This Wallace Update describes two related Wallace Foundation initiatives seeking answers to…

Internet-Based Training to Improve Preschool Playground Safety: Evaluation of the Stamp-in-Safety Programme

ERIC Educational Resources Information Center

Schwebel, David C.; Pennefather, Jordan; Marquez, Brion; Marquez, Jessie

2015-01-01

Objective: Playground injuries result in over 200,000 US pediatric emergency department visits annually. One strategy to reduce injuries is improved adult supervision. The Stamp-in-Safety programme, which involves supervisors stamping rewards for children playing safely, has been demonstrated in preliminary classroom-based work to reduce child…

Trainer Interventions as Instructional Strategies in Air Traffic Control Training

ERIC Educational Resources Information Center

Koskela, Inka; Palukka, Hannele

2011-01-01

Purpose: This paper aims to identify methods of guidance and supervision used in air traffic control training. It also aims to show how these methods facilitate trainee participation in core work activities. Design/methodology/approach: The paper applies the tools of conversation analysis and ethnomethodology to explore the ways in which trainers…

Active Supervision, Precorrection, and Explicit Timing: A High School Case Study on Classroom Behavior

ERIC Educational Resources Information Center

Haydon, Todd; Kroeger, Stephen D.

2016-01-01

One proactive approach to increasing student engagement in schools is implementing Positive Behavior Intervention and Support (PBIS) strategies. PBIS focuses on prevention and concentrates on quality-of-life issues that include improved academic achievement, enhanced social competence, and safe learning and teaching environments. This study is a…

Multi-test cervical cancer diagnosis with missing data estimation

NASA Astrophysics Data System (ADS)

Xu, Tao; Huang, Xiaolei; Kim, Edward; Long, L. Rodney; Antani, Sameer

2015-03-01

Cervical cancer is a leading most common type of cancer for women worldwide. Existing screening programs for cervical cancer suffer from low sensitivity. Using images of the cervix (cervigrams) as an aid in detecting pre-cancerous changes to the cervix has good potential to improve sensitivity and help reduce the number of cervical cancer cases. In this paper, we present a method that utilizes multi-modality information extracted from multiple tests of a patient's visit to classify the patient visit to be either low-risk or high-risk. Our algorithm integrates image features and text features to make a diagnosis. We also present two strategies to estimate the missing values in text features: Image Classifier Supervised Mean Imputation (ICSMI) and Image Classifier Supervised Linear Interpolation (ICSLI). We evaluate our method on a large medical dataset and compare it with several alternative approaches. The results show that the proposed method with ICSLI strategy achieves the best result of 83.03% specificity and 76.36% sensitivity. When higher specificity is desired, our method can achieve 90% specificity with 62.12% sensitivity.

A systematic review of the factors that influence the quality and effectiveness of telesupervision for health professionals.

PubMed

Martin, Priya; Lizarondo, Lucylynn; Kumar, Saravana

2018-05-01

Introduction Whilst telesupervision (clinical supervision undertaken using communication technology) is being used more frequently, there is limited information on what factors influence its effectiveness and quality. We undertook this systematic review to address this gap. Methods Eligible telesupervision studies were identified following targeted search of electronic databases and the grey literature. Data were synthesised thematically, resulting in development of core themes. Results We identified 286 papers for initial relevancy screening by title and abstract. The full text of 36 papers were then retrieved and assessed for further relevance. A total of 11 papers were included in the final analysis. We identified eight themes that contribute to effective and high-quality telesupervision: supervisee characteristics, supervisor characteristics, supervision characteristics, supervisory relationship, communication strategies, prior face-to-face contact, environmental factors and technological considerations. Conclusion From the available evidence, telesupervision can be a feasible and acceptable form of clinical supervision if set up well. Further studies with robust designs are required to strengthen the existing evidence on what makes telesupervision effective, as well as to examine its cost-effectiveness.

Arrangement and Applying of Movement Patterns in the Cerebellum Based on Semi-supervised Learning.

PubMed

Solouki, Saeed; Pooyan, Mohammad

2016-06-01

Biological control systems have long been studied as a possible inspiration for the construction of robotic controllers. The cerebellum is known to be involved in the production and learning of smooth, coordinated movements. Therefore, highly regular structure of the cerebellum has been in the core of attention in theoretical and computational modeling. However, most of these models reflect some special features of the cerebellum without regarding the whole motor command computational process. In this paper, we try to make a logical relation between the most significant models of the cerebellum and introduce a new learning strategy to arrange the movement patterns: cerebellar modular arrangement and applying of movement patterns based on semi-supervised learning (CMAPS). We assume here the cerebellum like a big archive of patterns that has an efficient organization to classify and recall them. The main idea is to achieve an optimal use of memory locations by more than just a supervised learning and classification algorithm. Surely, more experimental and physiological researches are needed to confirm our hypothesis.

Active learning strategies for the deduplication of electronic patient data using classification trees.

PubMed

Sariyar, M; Borg, A; Pommerening, K

2012-10-01

Supervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether a simple active learning strategy using binary comparison patterns is sufficient or if string metrics together with a more sophisticated algorithm are necessary to achieve high accuracies with a small training set. Based on medical registry data with different numbers of attributes, we used active learning to acquire training sets for classification trees, which were then used to classify the remaining data. Active learning for binary patterns means that every distinct comparison pattern represents a stratum from which one item is sampled. Active learning for patterns consisting of the Levenshtein string metric values uses an iterative process where the most informative and representative examples are added to the training set. In this context, we extended the active learning strategy by Sarawagi and Bhamidipaty (2002). On the original data set, active learning based on binary comparison patterns leads to the best results. When dropping four or six attributes, using string metrics leads to better results. In both cases, not more than 200 manually reviewed training examples are necessary. In record linkage applications where only forename, name and birthday are available as attributes, we suggest the sophisticated active learning strategy based on string metrics in order to achieve highly accurate results. We recommend the simple strategy if more attributes are available, as in our study. In both cases, active learning significantly reduces the amount of manual involvement in training data selection compared to usual record linkage settings. Copyright © 2012 Elsevier Inc. All rights reserved.

Delegation and supervision of healthcare assistants' work in the daily management of uncertainty and the unexpected in clinical practice: invisible learning among newly qualified nurses.

PubMed

Allan, Helen T; Magnusson, Carin; Evans, Karen; Ball, Elaine; Westwood, Sue; Curtis, Kathy; Horton, Khim; Johnson, Martin

2016-12-01

The invisibility of nursing work has been discussed in the international literature but not in relation to learning clinical skills. Evans and Guile's (Practice-based education: Perspectives and strategies, Rotterdam: Sense, 2012) theory of recontextualisation is used to explore the ways in which invisible or unplanned and unrecognised learning takes place as newly qualified nurses learn to delegate to and supervise the work of the healthcare assistant. In the British context, delegation and supervision are thought of as skills which are learnt "on the job." We suggest that learning "on-the-job" is the invisible construction of knowledge in clinical practice and that delegation is a particularly telling area of nursing practice which illustrates invisible learning. Using an ethnographic case study approach in three hospital sites in England from 2011 to 2014, we undertook participant observation, interviews with newly qualified nurses, ward managers and healthcare assistants. We discuss the invisible ways newly qualified nurses learn in the practice environment and present the invisible steps to learning which encompass the embodied, affective and social, as much as the cognitive components to learning. We argue that there is a need for greater understanding of the "invisible learning" which occurs as newly qualified nurses learn to delegate and supervise. © 2016 John Wiley & Sons Ltd.

Running for your life: A review of physical activity and cardiovascular disease risk reduction in individuals with schizophrenia.

PubMed

Chalfoun, Claire; Karelis, Antony D; Stip, Emmanuel; Abdel-Baki, Amal

2016-08-01

Individuals with schizophrenia have a greater risk for cardiometabolic risk factors (e.g. central obesity, insulin resistance, hypertension and dyslipidaemia), cardiovascular diseases and mortality. This risky profile may be explained by the adverse effects of antipsychotic medications and an unhealthy lifestyle (e.g. smoking, poor nutrition and low physical activity). In the general population, physical activity has been shown to be the optimal strategy to improve both cardiometabolic parameters and cardiorespiratory fitness levels. Accordingly, an emerging literature of non-pharmacological interventions (e.g. cognitive behavioural therapy, diet and physical activity) has been studied in individuals with schizophrenia. Therefore, the purpose of this review was 1) to conduct a critical literature review of non-pharmacological interventions that included some kind of physical activity (including supervised and unsupervised exercise training) and target cardiometabolic risk factors in individuals with schizophrenia. 2) To describe the contribution of physical activity alone by reviewing trials of supervised exercise training programmes only. A literature review via systematic keyword search for publications in Medline, PubMed, Embase and PsycINFO was performed. Many non-pharmacological interventions are efficient in reducing cardiovascular disease risk factors when combined with physical activity. Supervised physical activity has been successful in decreasing cardiovascular disease risk, and aerobic interval training appears to provide more benefits by specifically targeting cardiorespiratory fitness levels. In conclusion, physical activity is an effective strategy for addressing cardiovascular disease risk in individuals with schizophrenia. Long-term studies are needed to evaluate the feasibility and impact of exercise training programmes in individuals with schizophrenia.

Gatekeeping practices of music therapy academic programs and internships: a national survey.

PubMed

Hsiao, Feilin

2014-01-01

Gatekeeping safeguards access to the practice of a profession to ensure the quality of clinical services. It involves selective admission, continuous evaluation, and timely and ethical decisions in response to trainees with severe professional competency problems (SPCP). To date, little information is available concerning gatekeeping practices in the field of music therapy. This study investigated the extent and outcomes of gatekeeping practices across academic programs and National Roster internship sites approved by the American Music Therapy Association. Specifically, it examined the prevalence of trainees with SPCP, program-wide precautionary measures, common indicators of trainees with SPCP, remedial strategies, and supports and barriers to effective management. Thirty-two academic program directors and 77 internship directors completed an online survey. Responses were compiled into aggregate form (frequencies & percentages) for analysis. Chi-square tests with Yates' correction were applied to compare the differences between academic programs and internships. A significantly higher percentage of academic programs (93.8%) reported having at least one trainee with SPCP over the past 5 years than did internships (66.2%). The most common indicators of competency problems included inadequate music skill development, emotional instability, limited communication skills, deficient interpersonal skills, defensiveness in supervision, and lack of insight. Typical remedial methods included referral to personal therapy, increased supervision, and repetition of practicum or extension of internship. Issues regarding trainees with SPCP are frequently addressed by academic and internship program directors. Improving clarity within professional guidelines and establishing more rigorous and consistent standards across training programs are recommended. © the American Music Therapy Association 2014. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error

NASA Astrophysics Data System (ADS)

Jarabo-Amores, María-Pilar; la Mata-Moya, David de; Gil-Pita, Roberto; Rosa-Zurera, Manuel

2013-12-01

The application of supervised learning machines trained to minimize the Cross-Entropy error to radar detection is explored in this article. The detector is implemented with a learning machine that implements a discriminant function, which output is compared to a threshold selected to fix a desired probability of false alarm. The study is based on the calculation of the function the learning machine approximates to during training, and the application of a sufficient condition for a discriminant function to be used to approximate the optimum Neyman-Pearson (NP) detector. In this article, the function a supervised learning machine approximates to after being trained to minimize the Cross-Entropy error is obtained. This discriminant function can be used to implement the NP detector, which maximizes the probability of detection, maintaining the probability of false alarm below or equal to a predefined value. Some experiments about signal detection using neural networks are also presented to test the validity of the study.

Application of Advanced Process Control techniques to a pusher type reheating furnace

NASA Astrophysics Data System (ADS)

Zanoli, S. M.; Pepe, C.; Barboni, L.

2015-11-01

In this paper an Advanced Process Control system aimed at controlling and optimizing a pusher type reheating furnace located in an Italian steel plant is proposed. The designed controller replaced the previous control system, based on PID controllers manually conducted by process operators. A two-layer Model Predictive Control architecture has been adopted that, exploiting a chemical, physical and economic modelling of the process, overcomes the limitations of plant operators’ mental model and knowledge. In addition, an ad hoc decoupling strategy has been implemented, allowing the selection of the manipulated variables to be used for the control of each single process variable. Finally, in order to improve the system flexibility and resilience, the controller has been equipped with a supervision module. A profitable trade-off between conflicting specifications, e.g. safety, quality and production constraints, energy saving and pollution impact, has been guaranteed. Simulation tests and real plant results demonstrated the soundness and the reliability of the proposed system.

Effects of supervised exercise on motivational outcomes in breast cancer survivors at 5-year follow-up.

PubMed

Trinh, Linda; Mutrie, Nanette; Campbell, Anna M; Crawford, Jennifer J; Courneya, Kerry S

2014-12-01

Short-term physical activity (PA) has beneficial effects on symptom management and quality of life, however, longer-term adherence is likely needed for improved disease outcomes in breast cancer survivors (BCS). This study examined the effects of a supervised group exercise program on motivational outcomes and PA among BCS at 5-year follow-up. The original study was a two-armed, randomized controlled trial comparing a 12-week supervised group exercise program to usual care among 203 BCS. BCS for this follow-up study were contacted at 60 months postintervention and asked to complete assessments of motivational outcomes from the Theory of Planned Behavior and PA behavior using the Scottish Physical Activity Questionnaire. Overall, 87 participants provided 5-year follow-up data with no differences in participation by group. Analyses of covariance (ANCOVAs) revealed that supervised exercise had a significant positive effect on descriptive norm at 5-year follow-up (mean = +0.6; 95% CI = +0.1 to +1.1; d = +0.48; p = 0.021). Small positive effects were also noted for perceived behavioral control (d = +0.18), instrumental attitude (d = +0.26), and injunctive norm (d = +0.35), although they were not statistically significant. Moreover, BCS who were more active at 5-year follow-up also reported more favorable perceived behavioral control (d = +0.16), instrumental attitude (d = +0.28), injunctive norm (d = +0.24), and descriptive norm (d = +0.31), although these differences were not statistically significant. This trial provides suggestive evidence that a supervised exercise program has positive effects on motivational outcomes even after 5 years. Additional intervention strategies during follow-up may further improve long-term adherence and health outcomes in BCS. Copyright © 2014 Elsevier Ltd. All rights reserved.

Supervision, monitoring and evaluation of nationwide scale-up of antiretroviral therapy in Malawi.

PubMed Central

Libamba, Edwin; Makombe, Simon; Mhango, Eustice; de Ascurra Teck, Olga; Limbambala, Eddie; Schouten, Erik J.; Harries, Anthony D.

2006-01-01

OBJECTIVE: To describe the supervision, monitoring and evaluation strategies used to assess the delivery of antiretroviral therapy during nationwide scale-up of treatment in Malawi. METHODS: In the first quarter of 2005, the HIV Unit of the Ministry of Health and its partners (the Lighthouse Clinic; Médecins Sans Frontières-Belgium, Thyolo district; and WHO's Country Office) undertook structured supervision and monitoring of all public sector health facilities in Malawi delivering antiretroviral therapy. FINDINGS: Data monitoring showed that by the end of 2004, there were 13,183 patients (5274 (40%) male, 12 527 (95%) adults) who had ever started antiretroviral therapy. Of patients who had ever started, 82% (10 761/13,183) were alive and taking antiretrovirals; 8% (1026/13,183) were dead; 8% (1039/13,183) had been lost to follow up; <1% (106/13,183) had stopped treatment; and 2% (251/13,183) had transferred to another facility. Of those alive and on antiretrovirals, 98% (7098/7258) were ambulatory; 85% (6174/7258) were fit to work; 10% (456/4687) had significant side effects; and, based on pill counts, 96% (6824/7114) had taken their treatment correctly. Mistakes in the registration and monitoring of patients were identified and corrected. Drug stocks were checked, and one potential drug stock-out was averted. As a result of the supervisory visits, by the end of March 2005 recruitment of patients to facilities scheduled to start delivering antiretroviral therapy had increased. CONCLUSION: This report demonstrates the importance of early supervision for sites that are starting to deliver antiretroviral therapy, and it shows the value of combining data collection with supervision. Making regular supervisory and monitoring visits to delivery sites are essential for tracking the national scale-up of delivery of antiretrovirals. PMID:16628306

Hierarchical Gene Selection and Genetic Fuzzy System for Cancer Microarray Data Classification

PubMed Central

Nguyen, Thanh; Khosravi, Abbas; Creighton, Douglas; Nahavandi, Saeid

2015-01-01

This paper introduces a novel approach to gene selection based on a substantial modification of analytic hierarchy process (AHP). The modified AHP systematically integrates outcomes of individual filter methods to select the most informative genes for microarray classification. Five individual ranking methods including t-test, entropy, receiver operating characteristic (ROC) curve, Wilcoxon and signal to noise ratio are employed to rank genes. These ranked genes are then considered as inputs for the modified AHP. Additionally, a method that uses fuzzy standard additive model (FSAM) for cancer classification based on genes selected by AHP is also proposed in this paper. Traditional FSAM learning is a hybrid process comprising unsupervised structure learning and supervised parameter tuning. Genetic algorithm (GA) is incorporated in-between unsupervised and supervised training to optimize the number of fuzzy rules. The integration of GA enables FSAM to deal with the high-dimensional-low-sample nature of microarray data and thus enhance the efficiency of the classification. Experiments are carried out on numerous microarray datasets. Results demonstrate the performance dominance of the AHP-based gene selection against the single ranking methods. Furthermore, the combination of AHP-FSAM shows a great accuracy in microarray data classification compared to various competing classifiers. The proposed approach therefore is useful for medical practitioners and clinicians as a decision support system that can be implemented in the real medical practice. PMID:25823003

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.

PubMed

Nguyen, Thanh; Khosravi, Abbas; Creighton, Douglas; Nahavandi, Saeid

2015-01-01

This paper introduces a novel approach to gene selection based on a substantial modification of analytic hierarchy process (AHP). The modified AHP systematically integrates outcomes of individual filter methods to select the most informative genes for microarray classification. Five individual ranking methods including t-test, entropy, receiver operating characteristic (ROC) curve, Wilcoxon and signal to noise ratio are employed to rank genes. These ranked genes are then considered as inputs for the modified AHP. Additionally, a method that uses fuzzy standard additive model (FSAM) for cancer classification based on genes selected by AHP is also proposed in this paper. Traditional FSAM learning is a hybrid process comprising unsupervised structure learning and supervised parameter tuning. Genetic algorithm (GA) is incorporated in-between unsupervised and supervised training to optimize the number of fuzzy rules. The integration of GA enables FSAM to deal with the high-dimensional-low-sample nature of microarray data and thus enhance the efficiency of the classification. Experiments are carried out on numerous microarray datasets. Results demonstrate the performance dominance of the AHP-based gene selection against the single ranking methods. Furthermore, the combination of AHP-FSAM shows a great accuracy in microarray data classification compared to various competing classifiers. The proposed approach therefore is useful for medical practitioners and clinicians as a decision support system that can be implemented in the real medical practice.

PERCEPTIONS OF THE ELEMENTARY SCHOOL COUNSELOR.

ERIC Educational Resources Information Center

BRADEN, BILLY; AND OTHERS

FACTORS ASSOCIATED WITH THE ROLE AND FUNCTION OF THE ELEMENTARY SCHOOL COUNSELOR AS THEY WERE PERCEIVED BY SELECTED ELEMENTARY SCHOOL COUNSELORS, ELEMENTARY SCHOOL PRINCIPALS, COUNSELOR EDUCATORS, AND STATE SUPERVISORS IN THE SOUTHERN ASSOCIATION FOR COUNSELOR EDUCATION AND SUPERVISION (SACES) REGION WERE IDENTIFIED. THREE INSTRUMENTS WERE…

Training Psychotherapists in Hierarchical Treatment Planning

PubMed Central

MAKOVER, RICHARD B.

1992-01-01

Treatment planning is a central and persistent challenge in psychotherapy. This paper outlines a four-level planning hierarchy that encourages the therapist to conceptualize a desired overall outcome (the "aim") that can be realized through subsidiary objectives (the "goals"). The "strategies" by which goals are pursued and the "tactics" that carry out those strategies are subordinate and instrumental elements of the treatment process. Greater emphasis on this type of treatment planning in the training and supervision of psychotherapists should make therapy more effective, improve treatment outcomes, and allow more efficient use of therapy resources. PMID:22700115

American Council on Rural Special Education (ACRES) Conference Proceedings (5th, Bellingham, Washington, March 19-22, 1985).

ERIC Educational Resources Information Center

American Council on Rural Special Education.

The proceedings from the March 1985 conference on rural special education present papers, abstracts, and presentation materials on a wide range of topics. Topics include: rural delivery models, a learning center approach to health and physical education, the microcomputer as an electronic teacher's aide, supervision strategies for a rural…

Staff Morale in Day Care Centres for Adults with Intellectual Disabilities

ERIC Educational Resources Information Center

Mascha, Katerina

2007-01-01

Background: Levels of burnout, job satisfaction and intended turnover of staff working in day care centres for adults with intellectual disabilities are investigated in relation to role clarity, staff support and supervision, and coping strategies used by staff. Materials and methods: Thirty six direct-care staff of four day care centres in the UK…

Features and Strategies of Supervisor Professional Community as a Means of Improving the Supervision of Preservice Teachers

ERIC Educational Resources Information Center

Levine, Thomas H.

2011-01-01

This article explores whether features associated with effective professional communities among K-12 teachers are relevant and sufficient for improving the practice of supervisors in teacher education programs. Interview and observational data from nineteen supervisors in one teacher education program illuminate what supervisors want in order to…

Influencing Factors on Professional Attitudes towards Risk-Taking in Children's Play: A Narrative Review

ERIC Educational Resources Information Center

van Rooijen, Martin; Newstead, Shelly

2017-01-01

There is a growing concern that adults who supervise children's play may restrict opportunities for children to engage in risky activities. Risk-benefit assessment is commonly advocated as a way of allowing children to take managed risks within settings. However "risk-benefit" adopts a limited strategy of convincing professionals of the…

Training New Instructors to Implement Discrete Trial Teaching Strategies with Children with Autism in a Community-Based Intervention Program

ERIC Educational Resources Information Center

Downs, Andrew; Downs, Robyn Conley

2013-01-01

The effects of training and supervision on instructor knowledge and performance of discrete trial teaching (DTT) within three domains (DTT Technical Skills; Work Session Preparation/Conclusion; and Student Engagement/Management) were examined in this study. Eight undergraduate student instructors received an 8-[hour] training in DTT and support…

The Effect of Feedback on Instructional Behaviours of Pre-Service Teacher Education

ERIC Educational Resources Information Center

Gürkan, Serkan

2018-01-01

Teacher training programs have a pivotal role in sophisticated Turkish education system. In order to reach high standards in teacher training, trainers should encourage and supervise pre-service teachers to use effective teaching skills and strategies. To ensure that providing feedback is regarded to be a widely accepted way for maximizing the use…

Supervision Strategies and Approaches for Female Parolees: Examining the Link between Unmet Needs and Parolee Outcome

ERIC Educational Resources Information Center

Schram, Pamela J.; Koons-Witt, Barbara A.; Williams, Frank P., III; McShane, Marilyn D.

2006-01-01

A number of parolees are returning to the community with programming needs that may not have been addressed during their incarceration; these unmet needs may subsequently affect their successful reintegration into the community. Although there is an increasing female parole population, there has been a paucity of research concerning female…

Effective Strategies for Virtual Supervision

ERIC Educational Resources Information Center

Scarcia-King, Trisha J.

2011-01-01

The use of technology in student affairs is not as advanced as depicted in the 1960s cartoon "The Jetsons," however, there has been a steady increase in the use of technology to enhance the education, programs, services, and support of the students on campuses. Technology changes rapidly, and the use of it differs with comfort, interest, access,…

Enhanced Deployment Strategy for Role-Based Hierarchical Application Agents in Wireless Sensor Networks with Established Clusterheads

ERIC Educational Resources Information Center

Gendreau, Audrey

2014-01-01

Efficient self-organizing virtual clusterheads that supervise data collection based on their wireless connectivity, risk, and overhead costs, are an important element of Wireless Sensor Networks (WSNs). This function is especially critical during deployment when system resources are allocated to a subsequent application. In the presented research,…

Management of Stress and Anxiety Among PhD Students During Thesis Writing: A Qualitative Study.

PubMed

Bazrafkan, Leila; Shokrpour, Nasrin; Yousefi, Alireza; Yamani, Nikoo

2016-01-01

Today, postgraduate students experience a variety of stresses and anxiety in different situations of academic cycle. Stress and anxiety have been defined as a syndrome shown by emotional exhaustion and reduced personal goal achievement. This article addresses the causes and different strategies of coping with this phenomena by PhD students at Iranian Universities of Medical Sciences. The study was conducted by a qualitative method using conventional content analysis approach. Through purposive sampling, 16 postgraduate medical sciences PhD students were selected on the basis of theoretical sampling. Data were gathered through semistructured interviews and field observations. Six hundred fifty-four initial codes were summarized and classified into 4 main categories and 11 subcategories on the thematic coding stage dependent on conceptual similarities and differences. The obtained codes were categorized under 4 themes including "thesis as a major source of stress," "supervisor relationship," "socioeconomic problem," and "coping with stress and anxiety." It was concluded that PhD students experience stress and anxiety from a variety of sources and apply different methods of coping in effective and ineffective ways. Purposeful supervision and guidance can reduce the cause of stress and anxiety; in addition, coping strategy must be in a thoughtful approach, as recommended in this study.

Local-aggregate modeling for big data via distributed optimization: Applications to neuroimaging.

PubMed

Hu, Yue; Allen, Genevera I

2015-12-01

Technological advances have led to a proliferation of structured big data that have matrix-valued covariates. We are specifically motivated to build predictive models for multi-subject neuroimaging data based on each subject's brain imaging scans. This is an ultra-high-dimensional problem that consists of a matrix of covariates (brain locations by time points) for each subject; few methods currently exist to fit supervised models directly to this tensor data. We propose a novel modeling and algorithmic strategy to apply generalized linear models (GLMs) to this massive tensor data in which one set of variables is associated with locations. Our method begins by fitting GLMs to each location separately, and then builds an ensemble by blending information across locations through regularization with what we term an aggregating penalty. Our so called, Local-Aggregate Model, can be fit in a completely distributed manner over the locations using an Alternating Direction Method of Multipliers (ADMM) strategy, and thus greatly reduces the computational burden. Furthermore, we propose to select the appropriate model through a novel sequence of faster algorithmic solutions that is similar to regularization paths. We will demonstrate both the computational and predictive modeling advantages of our methods via simulations and an EEG classification problem. © 2015, The International Biometric Society.

Rapid classification of heavy metal-exposed freshwater bacteria by infrared spectroscopy coupled with chemometrics using supervised method

NASA Astrophysics Data System (ADS)

Gurbanov, Rafig; Gozen, Ayse Gul; Severcan, Feride

2018-01-01

Rapid, cost-effective, sensitive and accurate methodologies to classify bacteria are still in the process of development. The major drawbacks of standard microbiological, molecular and immunological techniques call for the possible usage of infrared (IR) spectroscopy based supervised chemometric techniques. Previous applications of IR based chemometric methods have demonstrated outstanding findings in the classification of bacteria. Therefore, we have exploited an IR spectroscopy based chemometrics using supervised method namely Soft Independent Modeling of Class Analogy (SIMCA) technique for the first time to classify heavy metal-exposed bacteria to be used in the selection of suitable bacteria to evaluate their potential for environmental cleanup applications. Herein, we present the powerful differentiation and classification of laboratory strains (Escherichia coli and Staphylococcus aureus) and environmental isolates (Gordonia sp. and Microbacterium oxydans) of bacteria exposed to growth inhibitory concentrations of silver (Ag), cadmium (Cd) and lead (Pb). Our results demonstrated that SIMCA was able to differentiate all heavy metal-exposed and control groups from each other with 95% confidence level. Correct identification of randomly chosen test samples in their corresponding groups and high model distances between the classes were also achieved. We report, for the first time, the success of IR spectroscopy coupled with supervised chemometric technique SIMCA in classification of different bacteria under a given treatment.

Supervised Patient Self-Testing of Warfarin Therapy Using an Online System

PubMed Central

2013-01-01

Background Point-of-care international normalized ratio (INR) monitoring devices simplify warfarin management by allowing selected patients to monitor their own therapy in their homes. Patient self-testing (PST) has been shown to improve the clinical outcomes of warfarin therapy compared to usual care. Objective To compare management of warfarin therapy using PST combined with online supervision by physicians via a custom system with usual warfarin management, which involved laboratory testing and physician dosing. Methods Interested patients were recruited via community pharmacies to participate in a warfarin PST training program. Participants were required to have a long-term indication for warfarin, have been taking warfarin for at least 6 months, and have Internet access in their home. The training involved two sessions covering theoretical aspects of warfarin therapy, use of the CoaguChek XS, and the study website. Following training, patients monitored their INR once weekly for up to 3 months. Patients and physicians utilized a secure website to communicate INR values, dosage recommendations, and clinical incidents. Physicians provided a 6-12 month history of INR results for comparison with study results. The percentage of time spent within the therapeutic INR range (TTR) was the primary outcome, with participants acting as their own historical controls. The percentage of INR tests in range and participant satisfaction were secondary outcomes. Results Sixteen patients completed training requirements. The mean age of participants was 69.8 (SD 10.1) years. TTR improved significantly from 66.4% to 78.4% during PST (P=.01), and the number of tests within the target range also improved significantly (from 66.0% at prior to the study to 75.9% during PST; P=.04). Patients and physicians expressed a high degree of satisfaction with the monitoring strategy and online system. Conclusions PST supported by an online system for supervision was associated with improved INR control compared to usual care in a small group of elderly patients. Further research is warranted to investigate the clinical outcomes and cost-effectiveness of online systems to support patients monitoring medications and chronic conditions in the home. PMID:23853350

Preliminary development and validation of the Supervisee Attachment Strategies Scale (SASS).

PubMed

Menefee, Deleene S; Day, Susan X; Lopez, Frederick G; McPherson, Robert H

2014-04-01

The influence of counselor trainees' adult attachment orientations in the context of supervision has the potential to inform both training and supervision practice. However, the pursuit of such research requires the availability of appropriate assessment tools. The present study describes the development and validation of the Supervisee Attachment Strategies Scale (SASS), a theory-based measure of counseling trainees' attachment orientations toward their clinical supervisors. Participants were recruited online through their training directors at Association of Psychology Postdoctoral and Internship Centers member programs. Data were nationally collected from 352 trainees representing programs in the United States and Canada. Exploratory factor analysis yielded 2 interpretable factors along the adult attachment dimensions of avoidance vs. engagement and rejection concern vs. security. These 2 factors accounted for 55.85% of the interitem variance in the rotated solution of the 22-item SASS scale. SASS subscale scores were negatively correlated with the supervisory working alliance and predicted greater endorsement of role conflict and role ambiguity in the current supervisory relationship. Higher avoidance (but not rejection concern) predicted diminished perceptions of satisfaction with the overall training experience. Findings from this study suggest that trainees who engaged in adaptive attachment strategies may be more likely to address conflict, negotiate additional explorative opportunities in training, and seek out their supervisors in times of uncertainty. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Protecting Students on the Job.

ERIC Educational Resources Information Center

Rockefeller, Debra J.; Zikmund, Dale G.

1990-01-01

Cooperative education instructor-coordinators are responsible for the safety of student workers. They must be cognizant of employment laws and regulations; careful to select safe, well-supervised training sites; and, together with employers, they must document how safety instruction is to be carried out in the workplace. (SK)

IMPLEMENTING NONPROFESSIONAL PROGRAMS IN HUMAN SERVICES. MANPOWER TRAINING SERIES.

ERIC Educational Resources Information Center

SCHMAIS, AARON

SPECIFIC PROCESSES FOR UTILIZING NONPROFESSIONAL EMPLOYEES IN HUMAN SERVICES ARE PRESENTED. THE BACKGROUND, CURRENT STATUS, AND PROBLEMS ARE DISCUSSED. THE ELEMENTS CONSIDERED ARE RECRUITMENT, SCREENING AND SELECTION, TRAINING, PLACEMENT, SUPERVISION, UPGRADING, AND EVALUATION. EXAMPLES OF NONPROFESSIONAL POSITIONS INCLUDE THE CASE AIDE IN SOCIAL…

Machine learning applications in genetics and genomics.

PubMed

Libbrecht, Maxwell W; Noble, William Stafford

2015-06-01

The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets. Here, we provide an overview of machine learning applications for the analysis of genome sequencing data sets, including the annotation of sequence elements and epigenetic, proteomic or metabolomic data. We present considerations and recurrent challenges in the application of supervised, semi-supervised and unsupervised machine learning methods, as well as of generative and discriminative modelling approaches. We provide general guidelines to assist in the selection of these machine learning methods and their practical application for the analysis of genetic and genomic data sets.

Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets.

PubMed

Boareto, Marcelo; Cesar, Jonatas; Leite, Vitor B P; Caticha, Nestor

2015-01-01

We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to determine metric tensors to define distance based similarity in pattern classification, inspired in relevance learning. The variational method is applied to a cost function that penalizes large intraclass distances and favors small interclass distances. We find analytically the metric tensor that minimizes the cost function. Preprocessing the patterns by doing linear transformations using the metric tensor yields a dataset which can be more efficiently classified. We test our methods using publicly available datasets, for some standard classifiers. Among these datasets, two were tested by the MAQC-II project and, even without the use of further preprocessing, our results improve on their performance.

Optimizing area under the ROC curve using semi-supervised learning

PubMed Central

Wang, Shijun; Li, Diana; Petrick, Nicholas; Sahiner, Berkman; Linguraru, Marius George; Summers, Ronald M.

2014-01-01

Receiver operating characteristic (ROC) analysis is a standard methodology to evaluate the performance of a binary classification system. The area under the ROC curve (AUC) is a performance metric that summarizes how well a classifier separates two classes. Traditional AUC optimization techniques are supervised learning methods that utilize only labeled data (i.e., the true class is known for all data) to train the classifiers. In this work, inspired by semi-supervised and transductive learning, we propose two new AUC optimization algorithms hereby referred to as semi-supervised learning receiver operating characteristic (SSLROC) algorithms, which utilize unlabeled test samples in classifier training to maximize AUC. Unlabeled samples are incorporated into the AUC optimization process, and their ranking relationships to labeled positive and negative training samples are considered as optimization constraints. The introduced test samples will cause the learned decision boundary in a multidimensional feature space to adapt not only to the distribution of labeled training data, but also to the distribution of unlabeled test data. We formulate the semi-supervised AUC optimization problem as a semi-definite programming problem based on the margin maximization theory. The proposed methods SSLROC1 (1-norm) and SSLROC2 (2-norm) were evaluated using 34 (determined by power analysis) randomly selected datasets from the University of California, Irvine machine learning repository. Wilcoxon signed rank tests showed that the proposed methods achieved significant improvement compared with state-of-the-art methods. The proposed methods were also applied to a CT colonography dataset for colonic polyp classification and showed promising results.1 PMID:25395692

Optimizing area under the ROC curve using semi-supervised learning.

PubMed

Wang, Shijun; Li, Diana; Petrick, Nicholas; Sahiner, Berkman; Linguraru, Marius George; Summers, Ronald M

2015-01-01

Receiver operating characteristic (ROC) analysis is a standard methodology to evaluate the performance of a binary classification system. The area under the ROC curve (AUC) is a performance metric that summarizes how well a classifier separates two classes. Traditional AUC optimization techniques are supervised learning methods that utilize only labeled data (i.e., the true class is known for all data) to train the classifiers. In this work, inspired by semi-supervised and transductive learning, we propose two new AUC optimization algorithms hereby referred to as semi-supervised learning receiver operating characteristic (SSLROC) algorithms, which utilize unlabeled test samples in classifier training to maximize AUC. Unlabeled samples are incorporated into the AUC optimization process, and their ranking relationships to labeled positive and negative training samples are considered as optimization constraints. The introduced test samples will cause the learned decision boundary in a multidimensional feature space to adapt not only to the distribution of labeled training data, but also to the distribution of unlabeled test data. We formulate the semi-supervised AUC optimization problem as a semi-definite programming problem based on the margin maximization theory. The proposed methods SSLROC1 (1-norm) and SSLROC2 (2-norm) were evaluated using 34 (determined by power analysis) randomly selected datasets from the University of California, Irvine machine learning repository. Wilcoxon signed rank tests showed that the proposed methods achieved significant improvement compared with state-of-the-art methods. The proposed methods were also applied to a CT colonography dataset for colonic polyp classification and showed promising results.

Cancer classification through filtering progressive transductive support vector machine based on gene expression data

NASA Astrophysics Data System (ADS)

Lu, Xinguo; Chen, Dan

2017-08-01

Traditional supervised classifiers neglect a large amount of data which not have sufficient follow-up information, only work with labeled data. Consequently, the small sample size limits the advancement of design appropriate classifier. In this paper, a transductive learning method which combined with the filtering strategy in transductive framework and progressive labeling strategy is addressed. The progressive labeling strategy does not need to consider the distribution of labeled samples to evaluate the distribution of unlabeled samples, can effective solve the problem of evaluate the proportion of positive and negative samples in work set. Our experiment result demonstrate that the proposed technique have great potential in cancer prediction based on gene expression.

Factors that influence the professional resilience of occupational therapists in mental health practice.

PubMed

Ashby, Samantha E; Ryan, Susan; Gray, Mel; James, Carole

2013-04-01

Mental health practice can create challenging environments for occupational therapists. This study explores the dynamic processes involved in the development and maintenance of professional resilience of experienced mental health occupational therapy practitioners. It presents the PRIOrity model that summarises the dynamic relationship between professional resilience, professional identity and occupation-based practice. A narrative inquiry methodology with two phases of interviews was used to collect the data from nine experienced mental health practitioners. Narrative thematic analysis was used to interpret the data. Professional resilience was linked to: (i) professional identity which tended to be negatively influenced in contexts dominated by biomedical models and psychological theories; (ii) expectations on occupational therapists to work outside their professional domains and use generic knowledge; and (iii) lack of validation of occupation-focussed practice. Professional resilience was sustained by strategies that maintained participants' professional identity. These strategies included seeking 'good' supervision, establishing support networks and finding a job that allowed a match between valued knowledge and opportunities to use it in practice. For occupational therapists professional resilience is sustained and enhanced by a strong professional identity and valuing an occupational perspective of health. Strategies that encourage reflection on the theoretical knowledge underpinning practice can sustain resilience. These include supervision, in-service meetings and informal socialisation. Further research is required into the role discipline-specific theories play in sustaining professional values and identity. The development of strategies to enhance occupational therapists' professional resilience may assist in the retention of occupational therapists in the mental health workforce. © 2012 The Authors Australian Occupational Therapy Journal © 2012 Occupational Therapy Australia.

Why and how do general practitioners teach? An exploration of the motivations and experiences of rural Australian general practitioner supervisors.

PubMed

Ingham, Gerard; Fry, Jennifer; O'Meara, Peter; Tourle, Vianne

2015-10-29

In medical education, a learner-centred approach is recommended. There is also a trend towards workplace-based learning outside of the hospital setting. In Australia, this has resulted in an increased need for General Practitioner (GP) supervisors who are receptive to using adult learning principles in their teaching. Little is known about what motivates Australian GP supervisors and how they currently teach. A qualitative study involving semi-structured interviews with 20 rural GP supervisors who work within one Regional Training Provider region in Australia explored their reasons for being a supervisor and how they performed their role. Data was analysed using a thematic analysis approach. GP supervisors identified both personal and professional benefits in being a supervisor, as well as some benefits for their practice. Supervision fulfilled a perceived broader responsibility to the profession and community, though they felt it had little impact on rural retention of doctors. While financial issues did not provide significant motivation to teach, the increasing financial inequity compared with providing direct patient care might impact negatively on the decision to be or to remain a supervisor in the future. The principal challenge for supervisors was finding time for teaching. Despite this, there was little evidence of supervisors adopting strategies to reduce teaching load. Teaching methods were reported in the majority to be case-based with styles extending from didactic to coach/facilitator. The two-way collegiate relationship with a registrar was valued, with supervisors taking an interest in the registrars beyond their development as a clinician. Supervisors report positively on their teaching and mentoring roles. Recruitment strategies that highlight the personal and professional benefits that supervision offers are needed. Practices need assistance to adopt models of supervision and teaching that will help supervisors productively manage the increasing number of learners in their practices. Educational institutions should facilitate the development and maintenance of supportive supervision and a learning culture within teaching practices. Given the variety of teaching approaches, evaluation of in-practice teaching is recommended.

Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR.

PubMed

Tustison, Nicholas J; Shrinidhi, K L; Wintermark, Max; Durst, Christopher R; Kandel, Benjamin M; Gee, James C; Grossman, Murray C; Avants, Brian B

2015-04-01

Segmenting and quantifying gliomas from MRI is an important task for diagnosis, planning intervention, and for tracking tumor changes over time. However, this task is complicated by the lack of prior knowledge concerning tumor location, spatial extent, shape, possible displacement of normal tissue, and intensity signature. To accommodate such complications, we introduce a framework for supervised segmentation based on multiple modality intensity, geometry, and asymmetry feature sets. These features drive a supervised whole-brain and tumor segmentation approach based on random forest-derived probabilities. The asymmetry-related features (based on optimal symmetric multimodal templates) demonstrate excellent discriminative properties within this framework. We also gain performance by generating probability maps from random forest models and using these maps for a refining Markov random field regularized probabilistic segmentation. This strategy allows us to interface the supervised learning capabilities of the random forest model with regularized probabilistic segmentation using the recently developed ANTsR package--a comprehensive statistical and visualization interface between the popular Advanced Normalization Tools (ANTs) and the R statistical project. The reported algorithmic framework was the top-performing entry in the MICCAI 2013 Multimodal Brain Tumor Segmentation challenge. The challenge data were widely varying consisting of both high-grade and low-grade glioma tumor four-modality MRI from five different institutions. Average Dice overlap measures for the final algorithmic assessment were 0.87, 0.78, and 0.74 for "complete", "core", and "enhanced" tumor components, respectively.

Impact of a supervised exercise program supporting autonomy on the adoption of an active lifestyle among obese adolescents: a Self-Determination Theory perspective.

PubMed

Gourlan, M; Sant, F; Boiche, J

2014-12-01

Regular physical activity (PA) practice represents a key component of obesity treatment. Drawing upon Self-Determination Theory, the purpose of this study was twofold. The first aim was to evaluate among obese adolescents the impact of a supervised exercise program supporting autonomy on their motivation to practice PA at the end of the intervention. The second aim was to evaluate the impact of the program on their level of PA one month after the end of the intervention. Eighteen obese adolescents (mean age=14.3 years, mean BMI=33.47 kg/m²) were recruited to participate in an 11-week residential obesity treatment program. They received a 45-minute supervised exercise session each week. Motivational regulations were assessed at baseline and at the end of the intervention (via the Exercise Motivation Scale). PA practice was assessed at baseline and one month after the end of the intervention (via the 7-day PA recall interview). The analyses revealed that adolescents' levels of autonomy increased, that their levels of intrinsic motivation tended to increase, and that their level of external regulation tended to decrease. In addition, the participants increased their habitual PA practice one month after the end of the intervention in comparison to baseline. This study highlights that supporting autonomy during supervised exercise sessions appears as an effective strategy to promote PA among obese adolescents because it fosters internalization of the behavior.

Uptake of wheel-filtration among clients of a supervised injecting facility: Can structured education work?

PubMed

Steele, Maureen; Silins, Edmund; Flaherty, Ian; Hiley, Sarah; van Breda, Nick; Jauncey, Marianne

2018-01-01

Wheel-filtration of pharmaceutical opioid tablets is a recognised harm reduction strategy, but uptake of the practice among people who inject drugs is low. The study aimed to: (i) examine perceptions of filtration practices; (ii) provide structured education on wheel-filtration; and (iii) assess uptake of the practice. Frequent opioid tablet injectors (n = 30) attending a supervised injecting facility in Sydney, Australia, received hands-on instruction on wheel-filtration based on recommended practice. Pre-education, post-education and follow-up questionnaires were administered. Wheel-filtration was generally regarded as better than cotton-filtration (the typical method) in terms of perceived effects on health, ease of use and overall drug effect. Sixty-eight percent of those who said they would try wheel-filtration after the education had actually done so. Of those who usually used cotton-filtration, over half (60%) had used wheel-filtration two weeks later. Uptake of safer preparation methods for pharmaceutical opioid tablets increases after structured education in wheel-filtration. Findings suggest that SIFs are an effective site for this kind of education. Supervised injecting facility workers are uniquely positioned to provide harm reduction education at the time of injection. [Steele M, Silins E, Flaherty I, Hiley S, van Breda N, Jauncey M. Uptake of wheel-filtration among clients of a supervised injecting facility: Can structured education work? Drug Alcohol Rev 2018;37:116-120]. © 2017 Australasian Professional Society on Alcohol and other Drugs.

34 CFR 648.31 - What selection criteria does the Secretary use?

Code of Federal Regulations, 2012 CFR

2012-07-01

... capacity for teaching and research at the institution and at State, regional, or national levels; (3) The... faculty, including education, research interest, publications, teaching ability, and accessibility to... appropriate to demonstrate the quality of its academic program. (d) Quality of the supervised teaching...

34 CFR 648.31 - What selection criteria does the Secretary use?

Code of Federal Regulations, 2011 CFR

2011-07-01

... capacity for teaching and research at the institution and at State, regional, or national levels; (3) The... faculty, including education, research interest, publications, teaching ability, and accessibility to... appropriate to demonstrate the quality of its academic program. (d) Quality of the supervised teaching...

34 CFR 648.31 - What selection criteria does the Secretary use?

Code of Federal Regulations, 2014 CFR

2014-07-01

... capacity for teaching and research at the institution and at State, regional, or national levels; (3) The... faculty, including education, research interest, publications, teaching ability, and accessibility to... appropriate to demonstrate the quality of its academic program. (d) Quality of the supervised teaching...

34 CFR 648.31 - What selection criteria does the Secretary use?

Code of Federal Regulations, 2013 CFR

2013-07-01

... capacity for teaching and research at the institution and at State, regional, or national levels; (3) The... faculty, including education, research interest, publications, teaching ability, and accessibility to... appropriate to demonstrate the quality of its academic program. (d) Quality of the supervised teaching...

How the integration of traditional birth attendants with formal health systems can increase skilled birth attendance.

PubMed

Byrne, Abbey; Morgan, Alison

2011-11-01

Forty years of safe motherhood programming has demonstrated that isolated interventions will not reduce maternal mortality sufficiently to achieve MDG 5. Although skilled birth attendants (SBAs) can intervene to save lives, traditional birth attendants (TBAs) are often preferred by communities. Considering the value of both TBAs and SBAs, it is important to review strategies for maximizing their respective strengths. To describe mechanisms to integrate TBAs with the health system to increase skilled birth attendance and examine the components of successful integration. A systematic review of interventions linking TBAs and formal health workers, measuring outcomes of skilled birth attendance, referrals, and facility deliveries. Thirty-three articles met the selection criteria. Mechanisms used for integration included training and supervision of TBAs, collaboration skills for health workers, inclusion of TBAs at health facilities, communication systems, and clear definition of roles. Impact on skilled birth attendance depended on selection of TBAs, community participation, and addressing barriers to access. Successful approaches were context-specific. The integration of TBAs with formal health systems increases skilled birth attendance. The greatest impact is seen when TBA integration is combined with complementary actions to overcome context-specific barriers to contact among SBAs, TBAs, and women. Copyright © 2011 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

Increasing the energy conservation awareness using the influential power of a lottery system

NASA Astrophysics Data System (ADS)

Nayak, Amruta Vijay

This thesis presents an influence maximization-driven approach to promoting energy conservation awareness, with the objective to generate a competitive environment for energy consumption supervision. As consumers are typically reluctant to invest their time and effort in the activities beyond their business, an incentive-based distribution strategy is proposed to encourage consumers to actively take part in energy conservation. The key idea of the thesis lies in leveraging the consumer instincts as a driving factor for spreading positive social influence, via a smart lottery program. In the proposed framework, saving energy automatically increases the consumers' chances of winning the lottery, thereby motivating them to save more, while the smart winner selection will maximize the word-of-mouth effect of the program. The thesis collects and organizes a large body of literature in support of the claim that the spread of awareness in a social network can play a key role in the emergence of energy conscious behavior. It also reports on the findings of a survey conducted to determine the present day consumer perspective toward energy conservation and the level of influence required to motivate them to conserve more energy. Finally, a mathematical model for smart lottery winner selection is presented, and insightful observations are made concerning the properties of optimal solutions to tractable, small problem instances.

Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers.

PubMed

Galpert, Deborah; Fernández, Alberto; Herrera, Francisco; Antunes, Agostinho; Molina-Ruiz, Reinaldo; Agüero-Chapin, Guillermin

2018-05-03

The development of new ortholog detection algorithms and the improvement of existing ones are of major importance in functional genomics. We have previously introduced a successful supervised pairwise ortholog classification approach implemented in a big data platform that considered several pairwise protein features and the low ortholog pair ratios found between two annotated proteomes (Galpert, D et al., BioMed Research International, 2015). The supervised models were built and tested using a Saccharomycete yeast benchmark dataset proposed by Salichos and Rokas (2011). Despite several pairwise protein features being combined in a supervised big data approach; they all, to some extent were alignment-based features and the proposed algorithms were evaluated on a unique test set. Here, we aim to evaluate the impact of alignment-free features on the performance of supervised models implemented in the Spark big data platform for pairwise ortholog detection in several related yeast proteomes. The Spark Random Forest and Decision Trees with oversampling and undersampling techniques, and built with only alignment-based similarity measures or combined with several alignment-free pairwise protein features showed the highest classification performance for ortholog detection in three yeast proteome pairs. Although such supervised approaches outperformed traditional methods, there were no significant differences between the exclusive use of alignment-based similarity measures and their combination with alignment-free features, even within the twilight zone of the studied proteomes. Just when alignment-based and alignment-free features were combined in Spark Decision Trees with imbalance management, a higher success rate (98.71%) within the twilight zone could be achieved for a yeast proteome pair that underwent a whole genome duplication. The feature selection study showed that alignment-based features were top-ranked for the best classifiers while the runners-up were alignment-free features related to amino acid composition. The incorporation of alignment-free features in supervised big data models did not significantly improve ortholog detection in yeast proteomes regarding the classification qualities achieved with just alignment-based similarity measures. However, the similarity of their classification performance to that of traditional ortholog detection methods encourages the evaluation of other alignment-free protein pair descriptors in future research.

Dimensions of Army Commissioned and Noncommissioned Officer Leadership

DTIC Science & Technology

1990-02-01

Financial Strategy Planning" and "Public and Customer Relations" ( Tornow & Pinto, 1976); "Manufacturing Process Supervision" and "Union Management...organization and (b) training. Examples of the former are: Coordination of Other Organizational Units and Personnel ( Tornow & Pinto, 1976); Liaison...c) Autonomy of Action and Complexity and Stress ( Tornow & Pinto, 1976). (d) Spokesperson and Negotiator (Mintzberg, 1973). (e) Arbitrator and

Supervised Coursework as a Way of Improving Motivation in the Learning of Digital Electronics

ERIC Educational Resources Information Center

Rengel, R.; Martin, M. J.; Vasallo, B. G.

2012-01-01

This paper presents a series of activities and educational strategies related to the teaching of digital electronics in computer engineering. The main objective of these methodologies was to develop a final tutored coursework to be carried out by the students in small teams. This coursework was conceived as consisting of advanced problems or small…

Clinical Supervision, a Proposal for Ensuring the Effectiveness of English Language Teaching at Public Universities in Colombia

ERIC Educational Resources Information Center

Paba, Luz Alba

2017-01-01

This research is a report on a quantitative study carried out at the English Departments of three public universities in the Caribbean coast of Colombia. Its main purpose was to analyze the strategies English departments coordinators use to enhance the quality of education their institutions provide in terms of bilingualism. The participants were…

Improving Teaching: A Partnership Success Story. San Diego State University and La Mesa-Spring Valley School District: Partners in Education.

ERIC Educational Resources Information Center

Bee, Clifford P.; And Others

A description is given of a collaborative effort between a state university and a middle school in California. The program is designed to attract, train, and retain future teachers. Among other factors, the program explores effective instruction, curriculum strategies, utilizing clinical supervision, and current teaching/learning techniques. An…

Modeling Temporal Crowd Work Quality with Limited Supervision

DTIC Science & Technology

2015-11-11

crowdsourcing, human computation, predic- tion, uncertainty-aware learning, time- series modeling Introduction While crowdsourcing offers a cost...individual correctness. As discussed ear- lier, such a strategy is difficult to employ in a live setting because it is unrealistic to assume that all...et al. 2014). Finally, there are interesting opportunities to investigate at the intersection of live task-routing with active-learning techniques

Supervised learning from human performance at the computationally hard problem of optimal traffic signal control on a network of junctions

PubMed Central

Box, Simon

2014-01-01

Optimal switching of traffic lights on a network of junctions is a computationally intractable problem. In this research, road traffic networks containing signallized junctions are simulated. A computer game interface is used to enable a human ‘player’ to control the traffic light settings on the junctions within the simulation. A supervised learning approach, based on simple neural network classifiers can be used to capture human player's strategies in the game and thus develop a human-trained machine control (HuTMaC) system that approaches human levels of performance. Experiments conducted within the simulation compare the performance of HuTMaC to two well-established traffic-responsive control systems that are widely deployed in the developed world and also to a temporal difference learning-based control method. In all experiments, HuTMaC outperforms the other control methods in terms of average delay and variance over delay. The conclusion is that these results add weight to the suggestion that HuTMaC may be a viable alternative, or supplemental method, to approximate optimization for some practical engineering control problems where the optimal strategy is computationally intractable. PMID:26064570

Supervised learning from human performance at the computationally hard problem of optimal traffic signal control on a network of junctions.

PubMed

Box, Simon

2014-12-01

Optimal switching of traffic lights on a network of junctions is a computationally intractable problem. In this research, road traffic networks containing signallized junctions are simulated. A computer game interface is used to enable a human 'player' to control the traffic light settings on the junctions within the simulation. A supervised learning approach, based on simple neural network classifiers can be used to capture human player's strategies in the game and thus develop a human-trained machine control (HuTMaC) system that approaches human levels of performance. Experiments conducted within the simulation compare the performance of HuTMaC to two well-established traffic-responsive control systems that are widely deployed in the developed world and also to a temporal difference learning-based control method. In all experiments, HuTMaC outperforms the other control methods in terms of average delay and variance over delay. The conclusion is that these results add weight to the suggestion that HuTMaC may be a viable alternative, or supplemental method, to approximate optimization for some practical engineering control problems where the optimal strategy is computationally intractable.

Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking.

PubMed

Hu, Weiming; Gao, Jin; Xing, Junliang; Zhang, Chao; Maybank, Stephen

2017-01-01

An appearance model adaptable to changes in object appearance is critical in visual object tracking. In this paper, we treat an image patch as a two-order tensor which preserves the original image structure. We design two graphs for characterizing the intrinsic local geometrical structure of the tensor samples of the object and the background. Graph embedding is used to reduce the dimensions of the tensors while preserving the structure of the graphs. Then, a discriminant embedding space is constructed. We prove two propositions for finding the transformation matrices which are used to map the original tensor samples to the tensor-based graph embedding space. In order to encode more discriminant information in the embedding space, we propose a transfer-learning- based semi-supervised strategy to iteratively adjust the embedding space into which discriminative information obtained from earlier times is transferred. We apply the proposed semi-supervised tensor-based graph embedding learning algorithm to visual tracking. The new tracking algorithm captures an object's appearance characteristics during tracking and uses a particle filter to estimate the optimal object state. Experimental results on the CVPR 2013 benchmark dataset demonstrate the effectiveness of the proposed tracking algorithm.

Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation.

PubMed

Nikzad-Langerodi, Ramin; Lughofer, Edwin; Cernuda, Carlos; Reischer, Thomas; Kantner, Wolfgang; Pawliczek, Marcin; Brandstetter, Markus

2018-07-12

The physico-chemical properties of Melamine Formaldehyde (MF) based thermosets are largely influenced by the degree of polymerization (DP) in the underlying resin. On-line supervision of the turbidity point by means of vibrational spectroscopy has recently emerged as a promising technique to monitor the DP of MF resins. However, spectroscopic determination of the DP relies on chemometric models, which are usually sensitive to drifts caused by instrumental and/or sample-associated changes occurring over time. In order to detect the time point when drifts start causing prediction bias, we here explore a universal drift detector based on a faded version of the Page-Hinkley (PH) statistic, which we test in three data streams from an industrial MF resin production process. We employ committee disagreement (CD), computed as the variance of model predictions from an ensemble of partial least squares (PLS) models, as a measure for sample-wise prediction uncertainty and use the PH statistic to detect changes in this quantity. We further explore supervised and unsupervised strategies for (semi-)automatic model adaptation upon detection of a drift. For the former, manual reference measurements are requested whenever statistical thresholds on Hotelling's T 2 and/or Q-Residuals are violated. Models are subsequently re-calibrated using weighted partial least squares in order to increase the influence of newer samples, which increases the flexibility when adapting to new (drifted) states. Unsupervised model adaptation is carried out exploiting the dual antecedent-consequent structure of a recently developed fuzzy systems variant of PLS termed FLEXFIS-PLS. In particular, antecedent parts are updated while maintaining the internal structure of the local linear predictors (i.e. the consequents). We found improved drift detection capability of the CD compared to Hotelling's T 2 and Q-Residuals when used in combination with the proposed PH test. Furthermore, we found that active selection of samples by active learning (AL) used for subsequent model adaptation is advantageous compared to passive (random) selection in case that a drift leads to persistent prediction bias allowing more rapid adaptation at lower reference measurement rates. Fully unsupervised adaptation using FLEXFIS-PLS could improve predictive accuracy significantly for light drifts but was not able to fully compensate for prediction bias in case of significant lack of fit w.r.t. the latent variable space. Copyright © 2018 Elsevier B.V. All rights reserved.

Tuberculosis control program in the municipal context: performance evaluation

PubMed Central

Arakawa, Tiemi; Magnabosco, Gabriela Tavares; Andrade, Rubia Laine de Paula; Brunello, Maria Eugenia Firmino; Monroe, Aline Aparecida; Ruffino-Netto, Antonio; Scatena, Lucia Marina; Villa, Tereza Cristina Scatena

2017-01-01

ABSTRACT OBJECTIVE The objective of this study is to evaluate the performance of the Tuberculosis Control Program in municipalities of the State of São Paulo. METHODS This is a program evaluation research, with ecological design, which uses three non-hierarchical groups of the municipalities of the State of São Paulo according to their performance in relation to operational indicators. We have selected 195 municipalities with at least five new cases of tuberculosis notified in the Notification System of the State of São Paulo and with 20,000 inhabitants or more in 2010. The multiple correspondence analysis was used to identify the association between the groups of different performances, the epidemiological and demographic characteristics, and the characteristics of the health systems of the municipalities. RESULTS The group with the worst performance showed the highest rates of abandonment (average [avg] = 10.4, standard deviation [sd] = 9.4) and the lowest rates of supervision of Directly Observed Treatment (avg = 6.1, sd = 12.9), and it was associated with low incidence of tuberculosis, high tuberculosis and HIV, small population, high coverage of the Family Health Strategy/Program of Community Health Agents, and being located on the countryside. The group with the best performance presented the highest cure rate (avg = 83.7, sd = 10.5) and the highest rate of cases in Directly Observed Treatment (avg = 83.0, sd = 12.7); the group of regular performance showed regular results for outcome (avg cure = 79.8, sd = 13.2; abandonment avg = 9.5, sd = 8.3) and supervision of the Directly Observed Treatment (avg = 42.8, sd = 18.8). Large population, low coverage of the Family Health Strategy/Program of Community Health Agents, high incidence of tuberculosis and AIDS, and being located on the coast and in metropolitan areas were associated with these groups. CONCLUSIONS The findings highlight the importance of the Directly Observed Treatment in relation to the outcome for treatment and raise reflections on the structural and managerial capacity of municipalities in the implementation of the Tuberculosis Control Program. PMID:28380207

Fast Localization in Large-Scale Environments Using Supervised Indexing of Binary Features.

PubMed

Youji Feng; Lixin Fan; Yihong Wu

2016-01-01

The essence of image-based localization lies in matching 2D key points in the query image and 3D points in the database. State-of-the-art methods mostly employ sophisticated key point detectors and feature descriptors, e.g., Difference of Gaussian (DoG) and Scale Invariant Feature Transform (SIFT), to ensure robust matching. While a high registration rate is attained, the registration speed is impeded by the expensive key point detection and the descriptor extraction. In this paper, we propose to use efficient key point detectors along with binary feature descriptors, since the extraction of such binary features is extremely fast. The naive usage of binary features, however, does not lend itself to significant speedup of localization, since existing indexing approaches, such as hierarchical clustering trees and locality sensitive hashing, are not efficient enough in indexing binary features and matching binary features turns out to be much slower than matching SIFT features. To overcome this, we propose a much more efficient indexing approach for approximate nearest neighbor search of binary features. This approach resorts to randomized trees that are constructed in a supervised training process by exploiting the label information derived from that multiple features correspond to a common 3D point. In the tree construction process, node tests are selected in a way such that trees have uniform leaf sizes and low error rates, which are two desired properties for efficient approximate nearest neighbor search. To further improve the search efficiency, a probabilistic priority search strategy is adopted. Apart from the label information, this strategy also uses non-binary pixel intensity differences available in descriptor extraction. By using the proposed indexing approach, matching binary features is no longer much slower but slightly faster than matching SIFT features. Consequently, the overall localization speed is significantly improved due to the much faster key point detection and descriptor extraction. It is empirically demonstrated that the localization speed is improved by an order of magnitude as compared with state-of-the-art methods, while comparable registration rate and localization accuracy are still maintained.

Delivering colonoscopy screening for low-income populations in Suffolk County: strategies, outcomes, and benchmarks.

PubMed

Lane, Dorothy S; Messina, Catherine R; Cavanagh, Mary F; Anderson, Joseph C

2013-08-01

Current and pending legislation provides colorectal cancer screening reimbursement for previously uninsured populations. Colonoscopy is currently the screening method most frequently recommended by physicians for insured patients. The experience of the SCOPE (Suffolk County Preventive Endoscopy) demonstration project (Project SCOPE) at Stony Brook University Medical Center provides a model for delivering colonoscopy screening to low-income populations to meet anticipated increasing demands. Project SCOPE, based in the Department of Preventive Medicine, featured internal collaboration with the academic medical center's large gastroenterology practice and external collaboration with the Suffolk County Department of Health Services' network of community health centers. Colonoscopies were performed by faculty gastroenterologists or supervised fellows. Measures of colonoscopy performance were compared with quality indicators and differences between faculty and supervised fellows were identified. During a 40-month screening period, 800 initial colonoscopies were performed. Approximately 21% of women screened were found to have adenomatous polyps compared with 36% of men. Five cancers were detected. The majority of the population screened (70%) were members of minority populations. African American individuals had a higher percentage of proximally located adenomas (78%) compared with white individuals (65%) and Hispanics (49%), based on the location of the most advanced lesion. Hispanic individuals had a 36% lower risk of adenomas compared with white individuals. Performance measures including the percentage of procedures with adequate bowel preparation, cecum reached, scope withdrawal time, and adenoma detection rate met quality benchmarks when performed by either faculty or supervised fellows. Project SCOPE's operational strategies demonstrated a feasible method for an academic medical center to provide high-quality screening colonoscopy for low-income populations. © 2013 American Cancer Society.

Copenhagen study of overweight patients with coronary artery disease undergoing low energy diet or interval training: the randomized CUT-IT trial protocol.

PubMed

Pedersen, Lene Rørholm; Olsen, Rasmus Huan; Frederiksen, Marianne; Astrup, Arne; Chabanova, Elizaveta; Hasbak, Philip; Holst, Jens Juul; Kjær, Andreas; Newman, John W; Walzem, Rosemary; Wisløff, Ulrik; Sajadieh, Ahmad; Haugaard, Steen Bendix; Prescott, Eva

2013-11-19

Coronary artery disease (CAD) is accountable for more than 7 million deaths each year according to the World Health Organization (WHO). In a European population 80% of patients diagnosed with CAD are overweight and 31% are obese. Physical inactivity and overweight are major risk factors in CAD, thus central strategies in secondary prevention are increased physical activity and weight loss. In a randomized controlled trial 70 participants with stable CAD, age 45-75, body mass index 28-40 kg/m2 and no diabetes are randomized (1:1) to 12 weeks of intensive exercise or weight loss both succeeded by a 40-week follow-up. The exercise protocol consist of supervised aerobic interval training (AIT) at 85-90% of VO2peak 3 times weekly for 12 weeks followed by supervised AIT twice weekly for 40 weeks. In the weight loss arm dieticians instruct the participants in a low energy diet (800-1000 kcal/day) for 12 weeks, followed by 40 weeks of weight maintenance combined with supervised AIT twice weekly. The primary endpoint of the study is change in coronary flow reserve after the first 12 weeks' intervention. Secondary endpoints include cardiovascular, metabolic, inflammatory and anthropometric measures. The study will compare the short and long-term effects of a protocol consisting of AIT alone or a rapid weight loss followed by AIT. Additionally, it will provide new insight in mechanisms behind the benefits of exercise and weight loss. We wish to contribute to the creation of effective secondary prevention and sustainable rehabilitation strategies in the large population of overweight and obese patients diagnosed with CAD. ClinicalTrials.gov: NCT01724567.

The Claudication: Exercise Vs. Endoluminal Revascularization (CLEVER) study: rationale and methods.

PubMed

Murphy, Timothy P; Hirsch, Alan T; Ricotta, John J; Cutlip, Donald E; Mohler, Emile; Regensteiner, Judith G; Comerota, Anthony J; Cohen, David J

2008-06-01

Intermittent claudication is the primary symptom of peripheral arterial disease, affecting between 1 and 3 million Americans. Symptomatic improvement can be achieved by endovascular revascularization, but such procedures are invasive, expensive, and may be associated with procedural adverse events. Medical treatment options, including claudication medications and supervised exercise training, are also known to be effective, albeit also with associated limitations. The CLEVER (Claudication: Exercise Vs. Endoluminal Revascularization) study, funded by the Heart, Lung, and Blood Institute of the National Institutes of Health, is a prospective, multicenter, randomized, controlled clinical trial evaluating the relative efficacy, safety, and health economic impact of four treatment strategies for people with aortoiliac peripheral arterial disease and claudication. The treatment arms are: (1) optimal medical care (claudication pharmacotherapy); (2) primary stent placement; (3) supervised exercise rehabilitation; and (4) combined stenting with supervised exercise rehabilitation. The CLEVER study is a 5-year randomized, controlled clinical trial to be conducted at approximately 25 centers in the United States that will monitor 252 patients and their responses to treatment during an 18-month follow-up period. The primary end point is change in maximum walking duration on a graded treadmill test. Secondary end points include the change at 18 months in maximum walking duration from baseline, comparisons of free-living daily activity levels assessed by pedometer, health-related quality of life, and cost-effectiveness. Other analyses include the effect of these treatment strategies on anthropomorphic and physiologic variables, including body mass index, waist circumference, blood pressure, pulse pressure, and resting pulse as well as biochemical markers of cardiovascular health, including fasting lipids, fibrinogen, C-reactive protein, and hemoglobin A 1c values.

Closing the loop: from paper to protein annotation using supervised Gene Ontology classification.

PubMed

Gobeill, Julien; Pasche, Emilie; Vishnyakova, Dina; Ruch, Patrick

2014-01-01

Gene function curation of the literature with Gene Ontology (GO) concepts is one particularly time-consuming task in genomics, and the help from bioinformatics is highly requested to keep up with the flow of publications. In 2004, the first BioCreative challenge already designed a task of automatic GO concepts assignment from a full text. At this time, results were judged far from reaching the performances required by real curation workflows. In particular, supervised approaches produced the most disappointing results because of lack of training data. Ten years later, the available curation data have massively grown. In 2013, the BioCreative IV GO task revisited the automatic GO assignment task. For this issue, we investigated the power of our supervised classifier, GOCat. GOCat computes similarities between an input text and already curated instances contained in a knowledge base to infer GO concepts. The subtask A consisted in selecting GO evidence sentences for a relevant gene in a full text. For this, we designed a state-of-the-art supervised statistical approach, using a naïve Bayes classifier and the official training set, and obtained fair results. The subtask B consisted in predicting GO concepts from the previous output. For this, we applied GOCat and reached leading results, up to 65% for hierarchical recall in the top 20 outputted concepts. Contrary to previous competitions, machine learning has this time outperformed standard dictionary-based approaches. Thanks to BioCreative IV, we were able to design a complete workflow for curation: given a gene name and a full text, this system is able to select evidence sentences for curation and to deliver highly relevant GO concepts. Contrary to previous competitions, machine learning this time outperformed dictionary-based systems. Observed performances are sufficient for being used in a real semiautomatic curation workflow. GOCat is available at http://eagl.unige.ch/GOCat/. http://eagl.unige.ch/GOCat4FT/. © The Author(s) 2014. Published by Oxford University Press.

Protocols and Results of Resident Neurosurgeon's Transfemoral Catheter Angiography Training Supervised by Neuroendovascular Specialists

PubMed Central

Shin, Dong-Seong; Yeo, Dong-Kyu; Hwang, Sun-Chul; Park, Sukh-Que

2013-01-01

Objective Transfemoral catheter angiography (TFCA) is a basic procedure in neurovascular surgery with increasing importance in surgical and non-invasive treatments. Unfortunately, resident neurosurgeons have relatively few opportunities to perform TFCA in most institutions. We report a method developed in our hospital for training resident neurosurgeons to perform TFCA and evaluate the efficacy of this training. Methods From May 2011 to September 2011, a total of 112 consecutive patients underwent TFCA by one resident neurosurgeon supervised by two neuroendovascular specialists. Patients who underwent elective diagnostic procedures were included in this study. Patients who underwent endovascular treatment were excluded. Demographic data, indications for TFCA, side of approach, number of selected arteries, and complications were analyzed. Results This study included 64 males and 48 females with a mean age of 51.6 (12-81) years. All procedures were performed in the angiography suite. Common indications for procedures were as follows: stroke-induced symptoms in 61 patients (54.5%), Moyamoya disease and arteriovenous malformation in 13 patients (11.6%), and unruptured intracranial aneurysm in eight patients (7.1%). Right and left femoral puncture was performed in 98.2% and 1.8% of patients, respectively. A total of 465 selective angiographies were performed without complications. Angiographic examination was performed on 4.15 vessels per patient. Conclusion TFCA can be performed safely by resident neurosurgeons based on anatomical study and a meticulous protocol under the careful supervision of neuroendovascular specialists. PMID:24175020

Enhancing self-directed learning among Italian nursing students: A pre- and post-intervention study.

PubMed

Cadorin, L; Rei, A; Dante, A; Bulfone, T; Viera, G; Palese, A

2015-06-01

In accordance with Knowles's theory, self-directed learning (SDL) may be improved with tutorial strategies focused on guided reflection and critical analysis of the learning process. No evidence on effects on SDL abilities of different tutorial strategies offered to nursing students during the 1st clinical experience is available. To evaluate the effect of different tutorial strategies offered to nursing students on their SDL abilities. A pre-post intervention non-equivalent control group design was adopted in 2013. For the treatment group, structured and intensive tutorial interventions including different strategies such as briefing, debriefing, peer support, Socratic questioning, performed by university tutors were offered during the 1st clinical experience; for the control group, unstructured and non-intensive tutorial strategies were instead offered. Two Bachelor of Nursing Degree. Students awaiting their clinical experience (n=238) were the target sample. Those students who have completed the pre- and the post-intervention evaluation (201; 84.4%) were included in the analysis. SDL abilities were measured with the SRSSDL_ITA (Self Rating Scale of Self Directed Learning-Italian Version). A multiple linear regression analysis was developed to explore the predictive effect of individual, contextual and intervention variables. Three main factors explained the 36.8% of the adjusted variance in SDL scores have emerged: a) having received a lower clinical nurse-to-student supervision (B 9.086, β 2.874), b) having received higher level and structured tutorial intervention by university tutors (B 8.011, β 2.741), and c) having reported higher SDL scores at the baseline (B .550, β .556). A lower clinical nurse-to-student ratio (1:4), accompanied by unstructured and non-intensive tutorial intervention adopted by university tutors, seemed to be equivalent to an intensive clinical supervision (1:1) accompanied by higher level and structured tutorial strategies activated by the university tutors. Copyright © 2015 Elsevier Ltd. All rights reserved.

An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

PubMed

Nandi, Sutanu; Subramanian, Abhishek; Sarkar, Ram Rup

2017-07-25

Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems, like imbalanced provision of training datasets, biased choice of the best model for a given balanced dataset, choice of a complex machine learning algorithm, and data-based automated selection of biologically relevant features for classification. Here, we propose a simple support vector machine-based learning strategy for the prediction of essential genes in Escherichia coli K-12 MG1655 metabolism that integrates a non-conventional combination of an appropriate sample balanced training set, a unique organism-specific genotype, phenotype attributes that characterize essential genes, and optimal parameters of the learning algorithm to generate the best machine learning model (the model with the highest accuracy among all the models trained for different sample training sets). For the first time, we also introduce flux-coupled metabolic subnetwork-based features for enhancing the classification performance. Our strategy proves to be superior as compared to previous SVM-based strategies in obtaining a biologically relevant classification of genes with high sensitivity and specificity. This methodology was also trained with datasets of other recent supervised classification techniques for essential gene classification and tested using reported test datasets. The testing accuracy was always high as compared to the known techniques, proving that our method outperforms known methods. Observations from our study indicate that essential genes are conserved among homologous bacterial species, demonstrate high codon usage bias, GC content and gene expression, and predominantly possess a tendency to form physiological flux modules in metabolism.

34 CFR 77.1 - Definitions that apply to all Department programs.

Code of Federal Regulations, 2014 CFR

2014-07-01

... statistical controls for selection bias; (B) Quasi-experimental study that meets the What Works Clearinghouse... administrative supervision or control of a government other than the Federal Government. Quasi-experimental design study means a study using a design that attempts to approximate an experimental design by...

19 CFR 19.4 - CBP and proprietor responsibility and supervision over warehouses.

Code of Federal Regulations, 2010 CFR

2010-04-01

... inventory category of each article under FIFO procedures. Merchandise covered by a given unique identifier..., quantity counts of goods in warehouse inventories, spot checks of selected warehouse transactions or...) Maintain the inventory control and recordkeeping system in accordance with the provisions of § 19.12 of...

An Analysis of a Multidimensional Success: Measure for PSDS Students.

ERIC Educational Resources Information Center

Spuck, Dennis W.

The Program of Special Directed Studies (PSDS) identifies persons with intellectual ability whose academic achievement, as indicated by traditional measures, is inadequate to secure admission to selective colleges. Then, through a program of supervised college courses, special services and individual tutoring, it attempts to prepare these students…

34 CFR 395.3 - Application for designation as State licensing agency; content.

Code of Federal Regulations, 2010 CFR

2010-07-01

... agency to the vendors, including their selection, duties, supervision, transfer, promotion, financial..., and take adequate steps to assure that each vendor understands the provisions of the permit and any agreement under which he operates, as evidenced by his signed statements: (vii) Submit to an arbitration...

A Large Scale Computer Terminal Output Controller.

ERIC Educational Resources Information Center

Tucker, Paul Thomas

This paper describes the design and implementation of a large scale computer terminal output controller which supervises the transfer of information from a Control Data 6400 Computer to a PLATO IV data network. It discusses the cost considerations leading to the selection of educational television channels rather than telephone lines for…

Agriculture Supplies & Services. Volume 2 of 3.

ERIC Educational Resources Information Center

Kansas State Univ., Manhattan.

The second of three volumes included in a secondary agricultural supplies and services curriculum guide, this volume contains units of instruction in three major areas: (1) Animal Science, (2) Supervised Training Programs--Farm Business Management, and (3) Career Selection/Public Relations. Typical of the sixteen units included in the first…

Considerations in Selection of Public Service Employers: The Vermont Experience. Final Report.

ERIC Educational Resources Information Center

Mattson, Robert E.; Rution, Joseph A.

In a Public Service Employment program of subsidized work training, nonprofit employers in the areas of health, education, social services, and government can be evaluated in terms of the client's employability growth, wages, supervision, retention, transferability, and client satisfaction. Client employability increases in all four areas of…

Distributed heterogeneous inspecting system and its middleware-based solution.

PubMed

Huang, Li-can; Wu, Zhao-hui; Pan, Yun-he

2003-01-01

There are many cases when an organization needs to monitor the data and operations of its supervised departments, especially those departments which are not owned by this organization and are managed by their own information systems. Distributed Heterogeneous Inspecting System (DHIS) is the system an organization uses to monitor its supervised departments by inspecting their information systems. In DHIS, the inspected systems are generally distributed, heterogeneous, and constructed by different companies. DHIS has three key processes-abstracting core data sets and core operation sets, collecting these sets, and inspecting these collected sets. In this paper, we present the concept and mathematical definition of DHIS, a metadata method for solving the interoperability, a security strategy for data transferring, and a middleware-based solution of DHIS. We also describe an example of the inspecting system at WENZHOU custom.

Models for interrupted monitoring of a stochastic process

NASA Technical Reports Server (NTRS)

Palmer, E.

1977-01-01

As computers are added to the cockpit, the pilot's job is changing from of manually flying the aircraft, to one of supervising computers which are doing navigation, guidance and energy management calculations as well as automatically flying the aircraft. In this supervisorial role the pilot must divide his attention between monitoring the aircraft's performance and giving commands to the computer. Normative strategies are developed for tasks where the pilot must interrupt his monitoring of a stochastic process in order to attend to other duties. Results are given as to how characteristics of the stochastic process and the other tasks affect the optimal strategies.

Rapid initiation of fetal therapy services with a system of learner-centred training under proctorship: the National University Hospital (Singapore) experience

PubMed Central

Gosavi, Arundhati; Vijayakumar, Pradip D; Ng, Bryan SW; Loh, May-Han; Tan, Lay Geok; Johana, Nuryanti; Tan, Yi Wan; Sandikin, Dedy; Su, Lin Lin; Wataganara, Tuangsit; Biswas, Arijit; Choolani, Mahesh A; Mattar, Citra NZ

2017-01-01

INTRODUCTION Management of complicated monochorionic twins and certain intrauterine structural anomalies is a pressing challenge in communities that still lack advanced fetal therapy. We describe our efforts to rapidly initiate selective feticide using radiofrequency ablation (RFA) and selective fetoscopic laser photocoagulation (SFLP) for twin-to-twin transfusion syndrome (TTTS), and present the latter as a potential model for aspiring fetal therapy units. METHODS Five pregnancies with fetal complications were identified for RFA. Three pregnancies with Stage II TTTS were selected for SFLP. While RFA techniques utilising ultrasonography skills were quickly mastered, SFLP required stepwise technical learning with an overseas-based proctor, who provided real-time hands-off supervision. RESULTS All co-twins were live-born following selective feticide; one singleton pregnancy was lost. Fetoscopy techniques were learned in a stepwise manner and procedures were performed by a novice team of surgeons under proctorship. Dichorionisation was completed in only one patient. Five of six twins were live-born near term. One pregnancy developed twin anaemia-polycythaemia sequence, while another was complicated by co-twin demise. DISCUSSION Proctor-supervised directed learning facilitated the rapid provision of basic fetal therapy services by our unit. While traditional apprenticeship is important for building individual expertise, this system is complementary and may benefit other small units committed to providing these services. PMID:27439783

Precision assessment of some supervised and unsupervised algorithms for genotype discrimination in the genus Pisum using SSR molecular data.

PubMed

Nasiri, Jaber; Naghavi, Mohammad Reza; Kayvanjoo, Amir Hossein; Nasiri, Mojtaba; Ebrahimi, Mansour

2015-03-07

For the first time, prediction accuracies of some supervised and unsupervised algorithms were evaluated in an SSR-based DNA fingerprinting study of a pea collection containing 20 cultivars and 57 wild samples. In general, according to the 10 attribute weighting models, the SSR alleles of PEAPHTAP-2 and PSBLOX13.2-1 were the two most important attributes to generate discrimination among eight different species and subspecies of genus Pisum. In addition, K-Medoids unsupervised clustering run on Chi squared dataset exhibited the best prediction accuracy (83.12%), while the lowest accuracy (25.97%) gained as K-Means model ran on FCdb database. Irrespective of some fluctuations, the overall accuracies of tree induction models were significantly high for many algorithms, and the attributes PSBLOX13.2-3 and PEAPHTAP could successfully detach Pisum fulvum accessions and cultivars from the others when two selected decision trees were taken into account. Meanwhile, the other used supervised algorithms exhibited overall reliable accuracies, even though in some rare cases, they gave us low amounts of accuracies. Our results, altogether, demonstrate promising applications of both supervised and unsupervised algorithms to provide suitable data mining tools regarding accurate fingerprinting of different species and subspecies of genus Pisum, as a fundamental priority task in breeding programs of the crop. Copyright © 2015 Elsevier Ltd. All rights reserved.

Experience from a multi-country initiative to improve the monitoring of selected reproductive health indicators in Africa.

PubMed

Barreix, Maria; Tunçalp, Özge; Mutombo, Namuunda; Adegboyega, Ayotunde A; Say, Lale

2017-05-01

Universal access to sexual and reproductive health remains part of the unfinished business of global development in Africa. To achieve it, health interventions should be monitored using programmatic indicators. WHO's Strengthening Measurement of Reproductive Health Indicators in Africa initiative, implemented in Ghana, Nigeria, Kenya, Uganda, and Zimbabwe, aimed to improve national information systems for routine monitoring of reproductive health indicators. Participating countries developed action plans employing a two-pronged strategy: (1) revising, standardizing, and harmonizing existing reproductive health indicators captured through routine information-systems; and (2) building data-collection capacity through training and supervision at select pilot sites. Country teams evaluated existing and new indicators, and outlined barriers to strengthening routine measurement. Activities included updating abortion-care guidelines (spontaneous and induced abortions), providing training on laws surrounding induced abortions, and improving feedback mechanisms. The country teams updated monitoring and evaluation frameworks, and attempted to build recording/reporting capacity in selected pilot areas. Barriers to implementing the initiative that were encountered included restrictive induced-abortion laws, staff turn-over, and administrative delays, including low capacity among healthcare staff and competing priorities for staff time. The areas identified for further improvement were up-scaling programs to a national level, creating scorecards to record data, increasing collaborations with the private sector, conducting related costing exercises, and performing ex-post evaluations. © 2017 World Health Organization; licensed by Wiley on behalf of International Federation of Gynecology and Obstetrics.

One state's effort to improve recruitment, retention, and practice through multifaceted clinical supervision interventions.

PubMed

Collins-Camargo, Crystal; Sullivan, Dana J; Washeck, Bonnie; Adams, Jeff; Sundet, Paul

2009-01-01

The professional literature has described the critical role child welfare supervisors play in the recruitment and retention (R&R) of a competent workforce and in practice enhancement to produce positive outcomes for children and families. Building on findings from a federally funded demonstration project related to implementation of clinical supervision in the child welfare setting, this article provides a description of a comprehensive approach to achievement of these outcomes: an integrated implementation of an employee selection protocol, 360-degree evaluation and employee development planning, and peer consultation and support groups for supervisors. An outline of the evaluation designed to assess relative effectiveness of each component on organizational culture, staff R&R, and practice is provided.

Resist diabetes: A randomized clinical trial for resistance training maintenance in adults with prediabetes

PubMed Central

Davy, Brenda M.; Winett, Richard A.; Savla, Jyoti; Marinik, Elaina L.; Baugh, Mary Elizabeth; Flack, Kyle D.; Halliday, Tanya M.; Kelleher, Sarah A.; Winett, Sheila G.; Williams, David M.; Boshra, Soheir

2017-01-01

Objective To determine whether a social cognitive theory (SCT)-based intervention improves resistance training (RT) maintenance and strength, and reduces prediabetes prevalence. Research design and methods Sedentary, overweight/obese (BMI: 25–39.9 kg/m2) adults aged 50–69 (N = 170) with prediabetes participated in the 15-month trial. Participants completed a supervised 3-month RT (2×/wk) phase and were randomly assigned (N = 159) to one of two 6-month maintenance conditions: SCT or standard care. Participants continued RT at a self-selected facility. The final 6-month period involved no contact. Assessments occurred at baseline and months 3, 9, and 15. The SCT faded-contact intervention consisted of nine tailored transition (i.e., supervised training to training alone) and nine follow-up sessions. Standard care involved six generic follow-up sessions. Primary outcomes were prevalence of normoglycemia and muscular strength. Results The retention rate was 76%. Four serious adverse events were reported. After 3 months of RT, 34% of participants were no longer prediabetic. This prevalence of normoglycemia was maintained through month 15 (30%), with no group difference. There was an 18% increase in the odds of being normoglycemic for each % increase in fat-free mass. Increases in muscular strength were evident at month 3 and maintained through month 15 (P<0.001), which represented improvements of 21% and 14% for chest and leg press, respectively. Results did not demonstrate a greater reduction in prediabetes prevalence in the SCT condition. Conclusions Resistance training is an effective, maintainable strategy for reducing prediabetes prevalence and increasing muscular strength. Future research which promotes RT initiation and maintenance in clinical and community settings is warranted. Trial Registration ClinicalTrials.gov NCT01112709. PMID:28231265

Resist diabetes: A randomized clinical trial for resistance training maintenance in adults with prediabetes.

PubMed

Davy, Brenda M; Winett, Richard A; Savla, Jyoti; Marinik, Elaina L; Baugh, Mary Elizabeth; Flack, Kyle D; Halliday, Tanya M; Kelleher, Sarah A; Winett, Sheila G; Williams, David M; Boshra, Soheir

2017-01-01

To determine whether a social cognitive theory (SCT)-based intervention improves resistance training (RT) maintenance and strength, and reduces prediabetes prevalence. Sedentary, overweight/obese (BMI: 25-39.9 kg/m2) adults aged 50-69 (N = 170) with prediabetes participated in the 15-month trial. Participants completed a supervised 3-month RT (2×/wk) phase and were randomly assigned (N = 159) to one of two 6-month maintenance conditions: SCT or standard care. Participants continued RT at a self-selected facility. The final 6-month period involved no contact. Assessments occurred at baseline and months 3, 9, and 15. The SCT faded-contact intervention consisted of nine tailored transition (i.e., supervised training to training alone) and nine follow-up sessions. Standard care involved six generic follow-up sessions. Primary outcomes were prevalence of normoglycemia and muscular strength. The retention rate was 76%. Four serious adverse events were reported. After 3 months of RT, 34% of participants were no longer prediabetic. This prevalence of normoglycemia was maintained through month 15 (30%), with no group difference. There was an 18% increase in the odds of being normoglycemic for each % increase in fat-free mass. Increases in muscular strength were evident at month 3 and maintained through month 15 (P<0.001), which represented improvements of 21% and 14% for chest and leg press, respectively. Results did not demonstrate a greater reduction in prediabetes prevalence in the SCT condition. Resistance training is an effective, maintainable strategy for reducing prediabetes prevalence and increasing muscular strength. Future research which promotes RT initiation and maintenance in clinical and community settings is warranted. ClinicalTrials.gov NCT01112709.

A Pilot Project Demonstrating that Combat Medics Can Safely Administer Parenteral Medications in the Emergency Department.

PubMed

Schauer, Steven G; Cunningham, Cord W; Fisher, Andrew D; DeLorenzo, Robert A

2017-12-01

Introduction Select units in the military have improved combat medic training by integrating their functions into routine clinical care activities with measurable improvements in battlefield care. This level of integration is currently limited to special operations units. It is unknown if regular Army units and combat medics can emulate these successes. The goal of this project was to determine whether US Army combat medics can be integrated into routine emergency department (ED) clinical care, specifically medication administration. Project Design This was a quality assurance project that monitored training of combat medics to administer parenteral medications and to ensure patient safety. Combat medics were provided training that included direct supervision during medication administration. Once proficiency was demonstrated, combat medics would prepare the medications under direct supervision, followed by indirect supervision during administration. As part of the quality assurance and safety processes, combat medics were required to document all medication administrations, supervising provider, and unexpected adverse events. Additional quality assurance follow-up occurred via complete chart review by the project lead. Data During the project period, the combat medics administered the following medications: ketamine (n=13), morphine (n=8), ketorolac (n=7), fentanyl (n=5), ondansetron (n=4), and other (n=6). No adverse events or patient safety events were reported by the combat medics or discovered during the quality assurance process. In this limited case series, combat medics safely administered parenteral medications under indirect provider supervision. Future research is needed to further develop this training model for both the military and civilian setting. Schauer SG , Cunningham C W, Fisher AD , DeLorenzo RA . A pilot project demonstrating that combat medics can safely administer parenteral medications in the emergency department. Prehosp Disaster Med. 2017;32(6):679-681.

Effectiveness of additional supervised exercises compared with conventional treatment alone in patients with acute lateral ankle sprains: systematic review

PubMed Central

van Ochten, John; Luijsterburg, Pim A J; van Middelkoop, Marienke; Koes, Bart W; Bierma-Zeinstra, Sita M A

2010-01-01

Objective To summarise the effectiveness of adding supervised exercises to conventional treatment compared with conventional treatment alone in patients with acute lateral ankle sprains. Design Systematic review. Data sources Medline, Embase, Cochrane Central Register of Controlled Trials, Cinahl, and reference screening. Study selection Included studies were randomised controlled trials, quasi-randomised controlled trials, or clinical trials. Patients were adolescents or adults with an acute lateral ankle sprain. The treatment options were conventional treatment alone or conventional treatment combined with supervised exercises. Two reviewers independently assessed the risk of bias, and one reviewer extracted data. Because of clinical heterogeneity we analysed the data using a best evidence synthesis. Follow-up was classified as short term (up to two weeks), intermediate (two weeks to three months), and long term (more than three months). Results 11 studies were included. There was limited to moderate evidence to suggest that the addition of supervised exercises to conventional treatment leads to faster and better recovery and a faster return to sport at short term follow-up than conventional treatment alone. In specific populations (athletes, soldiers, and patients with severe injuries) this evidence was restricted to a faster return to work and sport only. There was no strong evidence of effectiveness for any of the outcome measures. Most of the included studies had a high risk of bias, with few having adequate statistical power to detect clinically relevant differences. Conclusion Additional supervised exercises compared with conventional treatment alone have some benefit for recovery and return to sport in patients with ankle sprain, though the evidence is limited or moderate and many studies are subject to bias. PMID:20978065

White Matter Tract Segmentation as Multiple Linear Assignment Problems

PubMed Central

Sharmin, Nusrat; Olivetti, Emanuele; Avesani, Paolo

2018-01-01

Diffusion magnetic resonance imaging (dMRI) allows to reconstruct the main pathways of axons within the white matter of the brain as a set of polylines, called streamlines. The set of streamlines of the whole brain is called the tractogram. Organizing tractograms into anatomically meaningful structures, called tracts, is known as the tract segmentation problem, with important applications to neurosurgical planning and tractometry. Automatic tract segmentation techniques can be unsupervised or supervised. A common criticism of unsupervised methods, like clustering, is that there is no guarantee to obtain anatomically meaningful tracts. In this work, we focus on supervised tract segmentation, which is driven by prior knowledge from anatomical atlases or from examples, i.e., segmented tracts from different subjects. We present a supervised tract segmentation method that segments a given tract of interest in the tractogram of a new subject using multiple examples as prior information. Our proposed tract segmentation method is based on the idea of streamline correspondence i.e., on finding corresponding streamlines across different tractograms. In the literature, streamline correspondence has been addressed with the nearest neighbor (NN) strategy. Differently, here we formulate the problem of streamline correspondence as a linear assignment problem (LAP), which is a cornerstone of combinatorial optimization. With respect to the NN, the LAP introduces a constraint of one-to-one correspondence between streamlines, that forces the correspondences to follow the local anatomical differences between the example and the target tract, neglected by the NN. In the proposed solution, we combined the Jonker-Volgenant algorithm (LAPJV) for solving the LAP together with an efficient way of computing the nearest neighbors of a streamline, which massively reduces the total amount of computations needed to segment a tract. Moreover, we propose a ranking strategy to merge correspondences coming from different examples. We validate the proposed method on tractograms generated from the human connectome project (HCP) dataset and compare the segmentations with the NN method and the ROI-based method. The results show that LAP-based segmentation is vastly more accurate than ROI-based segmentation and substantially more accurate than the NN strategy. We provide a Free/OpenSource implementation of the proposed method. PMID:29467600

White Matter Tract Segmentation as Multiple Linear Assignment Problems.

PubMed

Sharmin, Nusrat; Olivetti, Emanuele; Avesani, Paolo

2017-01-01

Diffusion magnetic resonance imaging (dMRI) allows to reconstruct the main pathways of axons within the white matter of the brain as a set of polylines, called streamlines. The set of streamlines of the whole brain is called the tractogram. Organizing tractograms into anatomically meaningful structures, called tracts, is known as the tract segmentation problem, with important applications to neurosurgical planning and tractometry. Automatic tract segmentation techniques can be unsupervised or supervised. A common criticism of unsupervised methods, like clustering, is that there is no guarantee to obtain anatomically meaningful tracts. In this work, we focus on supervised tract segmentation, which is driven by prior knowledge from anatomical atlases or from examples, i.e., segmented tracts from different subjects. We present a supervised tract segmentation method that segments a given tract of interest in the tractogram of a new subject using multiple examples as prior information. Our proposed tract segmentation method is based on the idea of streamline correspondence i.e., on finding corresponding streamlines across different tractograms. In the literature, streamline correspondence has been addressed with the nearest neighbor (NN) strategy. Differently, here we formulate the problem of streamline correspondence as a linear assignment problem (LAP), which is a cornerstone of combinatorial optimization. With respect to the NN, the LAP introduces a constraint of one-to-one correspondence between streamlines, that forces the correspondences to follow the local anatomical differences between the example and the target tract, neglected by the NN. In the proposed solution, we combined the Jonker-Volgenant algorithm (LAPJV) for solving the LAP together with an efficient way of computing the nearest neighbors of a streamline, which massively reduces the total amount of computations needed to segment a tract. Moreover, we propose a ranking strategy to merge correspondences coming from different examples. We validate the proposed method on tractograms generated from the human connectome project (HCP) dataset and compare the segmentations with the NN method and the ROI-based method. The results show that LAP-based segmentation is vastly more accurate than ROI-based segmentation and substantially more accurate than the NN strategy. We provide a Free/OpenSource implementation of the proposed method.

Supervision, support and mentoring interventions for health practitioners in rural and remote contexts: an integrative review and thematic synthesis of the literature to identify mechanisms for successful outcomes.

PubMed

Moran, Anna M; Coyle, Julia; Pope, Rod; Boxall, Dianne; Nancarrow, Susan A; Young, Jennifer

2014-02-13

To identify mechanisms for the successful implementation of support strategies for health-care practitioners in rural and remote contexts. This is an integrative review and thematic synthesis of the empirical literature that examines support interventions for health-care practitioners in rural and remote contexts. This review includes 43 papers that evaluated support strategies for the rural and remote health workforce. Interventions were predominantly training and education programmes with limited evaluations of supervision and mentoring interventions. The mechanisms associated with successful outcomes included: access to appropriate and adequate training, skills and knowledge for the support intervention; accessible and adequate resources; active involvement of stakeholders in programme design, implementation and evaluation; a needs analysis prior to the intervention; external support, organisation, facilitation and/or coordination of the programme; marketing of the programme; organisational commitment; appropriate mode of delivery; leadership; and regular feedback and evaluation of the programme. Through a synthesis of the literature, this research has identified a number of mechanisms that are associated with successful support interventions for health-care practitioners in rural and remote contexts. This research utilised a methodology developed for studying complex interventions in response to the perceived limitations of traditional systematic reviews. This synthesis of the evidence will provide decision-makers at all levels with a collection of mechanisms that can assist the development and implementation of support strategies for staff in rural and remote contexts.

Supervision, support and mentoring interventions for health practitioners in rural and remote contexts: an integrative review and thematic synthesis of the literature to identify mechanisms for successful outcomes

PubMed Central

2014-01-01

Objective To identify mechanisms for the successful implementation of support strategies for health-care practitioners in rural and remote contexts. Design This is an integrative review and thematic synthesis of the empirical literature that examines support interventions for health-care practitioners in rural and remote contexts. Results This review includes 43 papers that evaluated support strategies for the rural and remote health workforce. Interventions were predominantly training and education programmes with limited evaluations of supervision and mentoring interventions. The mechanisms associated with successful outcomes included: access to appropriate and adequate training, skills and knowledge for the support intervention; accessible and adequate resources; active involvement of stakeholders in programme design, implementation and evaluation; a needs analysis prior to the intervention; external support, organisation, facilitation and/or coordination of the programme; marketing of the programme; organisational commitment; appropriate mode of delivery; leadership; and regular feedback and evaluation of the programme. Conclusion Through a synthesis of the literature, this research has identified a number of mechanisms that are associated with successful support interventions for health-care practitioners in rural and remote contexts. This research utilised a methodology developed for studying complex interventions in response to the perceived limitations of traditional systematic reviews. This synthesis of the evidence will provide decision-makers at all levels with a collection of mechanisms that can assist the development and implementation of support strategies for staff in rural and remote contexts. PMID:24521004

Adapting evidence-based interventions using a common theory, practices, and principles.

PubMed

Rotheram-Borus, Mary Jane; Swendeman, Dallas; Becker, Kimberly D

2014-01-01

Hundreds of validated evidence-based intervention programs (EBIP) aim to improve families' well-being; however, most are not broadly adopted. As an alternative diffusion strategy, we created wellness centers to reach families' everyday lives with a prevention framework. At two wellness centers, one in a middle-class neighborhood and one in a low-income neighborhood, popular local activity leaders (instructors of martial arts, yoga, sports, music, dancing, Zumba), and motivated parents were trained to be Family Mentors. Trainings focused on a framework that taught synthesized, foundational prevention science theory, practice elements, and principles, applied to specific content areas (parenting, social skills, and obesity). Family Mentors were then allowed to adapt scripts and activities based on their cultural experiences but were closely monitored and supervised over time. The framework was implemented in a range of activities (summer camps, coaching) aimed at improving social, emotional, and behavioral outcomes. Successes and challenges are discussed for (a) engaging parents and communities; (b) identifying and training Family Mentors to promote children and families' well-being; and (c) gathering data for supervision, outcome evaluation, and continuous quality improvement. To broadly diffuse prevention to families, far more experimentation is needed with alternative and engaging implementation strategies that are enhanced with knowledge harvested from researchers' past 30 years of experience creating EBIP. One strategy is to train local parents and popular activity leaders in applying robust prevention science theory, common practice elements, and principles of EBIP. More systematic evaluation of such innovations is needed.

A blended supervision model in Australian general practice training.

PubMed

Ingham, Gerard; Fry, Jennifer

2016-05-01

The Royal Australian College of General Practitioners' Standards for general practice training allow different models of registrar supervision, provided these models achieve the outcomes of facilitating registrars' learning and ensuring patient safety. In this article, we describe a model of supervision called 'blended supervision', and its initial implementation and evaluation. The blended supervision model integrates offsite supervision with available local supervision resources. It is a pragmatic alternative to traditional supervision. Further evaluation of the cost-effectiveness, safety and effectiveness of this model is required, as is the recruitment and training of remote supervisors. A framework of questions was developed to outline the training practice's supervision methods and explain how blended supervision is achieving supervision and teaching outcomes. The supervision and teaching framework can be used to understand the supervision methods of all practices, not just practices using blended supervision.

Feasibility of a community health worker strategy for providing near and appropriate treatment of malaria in southeast Nigeria: an analysis of activities, costs and outcomes.

PubMed

Onwujekwe, Obinna; Uzochukwu, Benjamin; Ojukwu, Juliana; Dike, Nkem; Shu, Elvis

2007-02-01

Community health workers (CHWs) could be used to bring appropriate and timely treatment of malaria closer to home and there is the need to increase the body of knowledge about the feasibility of implementing the strategy. To determine the processes, costs and outcomes of design and implementation of a strategy based on use of CHWs for near and appropriate treatment of malaria. The CHW strategy was implemented in two villages (Adu and Ahani) in Enugu state, southeast Nigeria. Adu and Ahani have a population of approximately 3500 and 5000 residents, respectively. The study was conducted in four phases: (1) baseline survey; (2) design; (3) implementation, supervision and monitoring; and (4) evaluation. Interactive meeting with all the stakeholders were used to fine-tune the design of the CHW strategy. Community members that were selected by the project team with the help of community leaders were trained to become CHWs and their remuneration was through commissions on their drug sales. Community and provider's financial and non-financial costs of the startegy were computed. Non-financial costs were the highest contributor to consumer costs, while financial costs constituted more than 90% of provider costs. The total consumer cost in Ahani was US$2548, while the consumer cost in Adu was US$1585. The total provider cost in Ahani was US$4515, while in Adu it was US$4302. The unit cost cost per villager was US$1.40 in Ahani and US$1.70 in Adu, while the unit financial consumer cost per treated patient was $0.05 in both villages, respectively. The CHWs were acceptable to the people and had an increased market share out of existing malaria treatment provision strategies. The cost of starting up the CHW strategy is low and should be affordable to malaria control programs and communities. The CHW strategy is also economically viable and a potential cost-effective source for providing timely, and appropriate treatment of malaria in rural areas. It should be fine-tuned and added to malaria control armamenterium in Nigeria and other parts of sub-Saharan Africa.

Training strategy for convolutional neural networks in pedestrian gender classification

NASA Astrophysics Data System (ADS)

Ng, Choon-Boon; Tay, Yong-Haur; Goi, Bok-Min

2017-06-01

In this work, we studied a strategy for training a convolutional neural network in pedestrian gender classification with limited amount of labeled training data. Unsupervised learning by k-means clustering on pedestrian images was used to learn the filters to initialize the first layer of the network. As a form of pre-training, supervised learning for the related task of pedestrian classification was performed. Finally, the network was fine-tuned for gender classification. We found that this strategy improved the network's generalization ability in gender classification, achieving better test results when compared to random weights initialization and slightly more beneficial than merely initializing the first layer filters by unsupervised learning. This shows that unsupervised learning followed by pre-training with pedestrian images is an effective strategy to learn useful features for pedestrian gender classification.

Revealing teacher agendas: An examination of teacher motivations and strategies for conducting museum fieldtrips

NASA Astrophysics Data System (ADS)

Kisiel, James Francis

The purpose of this investigation was to identify the motivations and strategies that comprise teachers' agendas when leading a student fieldtrip to a museum or similar site. Two data collection methods were used. A survey regarding field trip experiences and rationale was mailed to upper elementary teachers, resulting in a variety of open-ended responses that were analyzed and coded to identify recurring themes. In addition, ten teachers accompanying students during a school trip to a natural history museum were interviewed and observed. Data collected from these in-depth studies were used to verify findings from the survey instrument and to refine and enhance the definitions and descriptions of actual practice. Eight fieldtrip motivations were identified including to connection with the classroom curriculum, to provide a general learning experience, to encourage lifelong learning, to enhance interest and motivation, to provide exposure to new experiences, to provide a change in setting or routine, for enjoyment, and to meet school expectations. Fieldtrip strategies used by teachers could be divided into pre-visit, during-visit or post-visit strategies. The commonly reported pre-visit strategies included familiarization and supervision preparation. During-visit strategies focused on structured student engagement strategies (such as worksheets or guided tours) and unstructured strategies (such as interpretation, connecting, facilitation, label-reading, advance organizers and free exploration), as well as event documentation and supervision tactics (such as keeping track and refocusing). Post-visit strategies included review and discussion, documentation , and assessment. Comparison of stated motivations and observed strategies revealed few links. However, results indicated that connecting to the classroom curriculum was an important consideration, even though teachers had different interpretations of what this meant. Providing hands-on experiences was also critical for many teachers, although the meaning of "hands-on" was more closely related to authentic experience rather than a component of inquiry-based learning. Further examination of the teachers' agendas suggested the influence of contexts, including that of the school (restrictions, curricular pressures), the teacher's personal context (teaching and museum experiences), and the museum site itself. These findings lead to suggestions through which museums might better facilitate school visits by considering the contexts that influence the teachers' fieldtrip perspectives and agendas.

Advanced On-The-Job Training System: User’s Handbook (Sections 10-11). Volume 3

DTIC Science & Technology

1990-05-01

leWd 4. idsodity a ne bety position Quit This Plan Select Option: Z (i)d4L.-tti irman Ifrom List, ()nter Specific S, (q)uit ? I 10-2.-4 0 The AOTS...Print SUperviaima List q. Rit This Plans Select Option: S 10-44 STEP 6: SELECT THE SUPERVISION LIST OPTION. Enter 5 and press 3RETU 30 D RA FT AOTS...training is accomplished by the trainee completing an on-line CAI lesson , while for other tasks, knowledge training is accomplished off line by the trainee

Facilitating the quality of care in a specialist Pacific ophthalmic nursing workforce.

PubMed

du Toit, R; Hughes, F; Mason, I; Tousignant, B

2011-03-01

Sufficient, appropriately trained health personnel need to be retained in the workforce, and their performance maintained, to achieve quality care. Mid-level ophthalmic personnel in Western Pacific Island Countries and Territories (WPICT) are no exception. The study aims to assess influences on the quality of care provided by specialist mid-level ophthalmic personnel in WPICT and devise strategies to train, retain and maintain performance of these personnel. A situational assessment employed a checklist and semi-structured interviews with specialist mid-level ophthalmic personnel, nursing bodies and Ministry of Health representatives from seven WPICT. A selective literature review guided strategies to address the issues identified. Appropriate training allows nurses to fulfill a mid-level role in WPICT as specialist ophthalmic nurses. Resources generally do not restrict practice. Nursing structures have generally failed to support professionalism: scope and conditions of service, clinical supervision, career structures, professional recognition and opportunities for continuing professional development are rudimentary. Ophthalmic nurses were dissatisfied with the lack of specialty recognition, career progression and salary increase. Regional and local strategies tailored to each country have been devised to establish sustainable processes for support. Salary was a major cause of dissatisfaction. It should be addressed along with professional recognition and related processes. Without professional support, specialist and advanced cadres within nursing may cease to exist, nurses' performance may be affected or they may leave. Specialist ophthalmic nursing, recognized, situated within and properly supported by nursing structures can provide a model for specialist clinical care for other specialties and in other countries. © 2010 The Authors. International Nursing Review © 2010 International Council of Nurses.

Sharing stories: indigenous alcohol and other drug workers' well-being, stress and burnout.

PubMed

Roche, Ann M; Duraisingam, Vinita; Trifonoff, Allan; Battams, Samantha; Freeman, Toby; Tovell, Amanda; Weetra, Donna; Bates, Nancy

2013-09-01

Indigenous alcohol and other drug (AOD) workers' roles are often exhausting, poorly paid and under-recognised. There has been relatively little examination of work-related stressors on their health and well-being. This national study identified Indigenous AOD workers' experiences and perspectives on well-being, stress and burnout along with strategies to improve worker well-being. Focus groups were conducted with 121 participants (70 Indigenous, 20 non-Indigenous, 31 unspecified) from metropolitan, rural and remote locations around Australia, selected via a purposive sampling strategy. Audio files and interview notes were analysed to identify key themes. Main themes identified included excessive workloads, extensive demands and expectations, workers' proximity to communities, loss and grief issues, lack of recognition, inadequate rewards, stigma and racism, and Indigenous ways of working. Stressors were compounded by workers' complex personal circumstances, profound levels of loss and grief, and lack of culturally safe working environments. Indigenous workers' stress was exacerbated by close links and responsibilities to their communities and a 'dual accountability', being constantly on call, playing multiple roles, complex personal and professional lives, and needing to interact with multiple agencies. Many Indigenous AOD workers had developed mechanisms to deal with work-related pressures and received valued support from their communities. The study identified the importance of workforce strategies to improve Indigenous workers' well-being and reduce stress, including: mutual support networks, training in assertiveness and boundary setting, workloads that take account of Indigenous ways of working, adequate remuneration, supervision and mentorship, and cultural sensitivity training for non-Indigenous workers. © 2013 Australasian Professional Society on Alcohol and other Drugs.

Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification

USDA-ARS?s Scientific Manuscript database

Chilling injury, as a physiological disorder in cucumbers, occurs after the fruit has been subjected to low temperatures. It is thus desirable to detect chilling injury at early stages and/or remove chilling injured cucumbers during sorting and grading. This research was aimed to apply hyperspectral...

Supervision of Agricultural Educators in Secondary Schools: What Do Teachers Want from Their Principals?

ERIC Educational Resources Information Center

Paulsen, Thomas H.; Martin, Robert A.

2014-01-01

The purpose of this multi-state study was to identify agricultural education teachers' perceived level of importance regarding selected instructional supervisory practices used in the nonformal components of agricultural education. The theoretical frame supporting this study was the theory of andragogy. Data were reported on the perceived…

Infusing Commodity Marketing into the Agriculture Curriculum. Final Report.

ERIC Educational Resources Information Center

Northeast Arkansas Educational Cooperative, Strawberry.

A project was conducted in Arkansas to infuse commodity marketing content into the agriculture curriculum. Thirty-three schools were selected to participate in the program; teachers from those schools attended a 2-day inservice program presented by a state coordinator for the project. The state coordinator also provided supervision and technical…

Content and Context in Knowledge Production: A Critical Review of Doctoral Supervision Literature

ERIC Educational Resources Information Center

Bastalich, Wendy

2017-01-01

With the massification of higher degrees, the efficiency gaze has fixed on students and supervisors, or on their relationship, as the "problem" to be managed, in need of administrative regulation, skill improvement or perhaps emotional management. This critical review of a selection of higher education journal articles on doctoral…

Supervised Learning Applied to Air Traffic Trajectory Classification

NASA Technical Reports Server (NTRS)

Bosson, Christabelle S.; Nikoleris, Tasos

2018-01-01

Given the recent increase of interest in introducing new vehicle types and missions into the National Airspace System, a transition towards a more autonomous air traffic control system is required in order to enable and handle increased density and complexity. This paper presents an exploratory effort of the needed autonomous capabilities by exploring supervised learning techniques in the context of aircraft trajectories. In particular, it focuses on the application of machine learning algorithms and neural network models to a runway recognition trajectory-classification study. It investigates the applicability and effectiveness of various classifiers using datasets containing trajectory records for a month of air traffic. A feature importance and sensitivity analysis are conducted to challenge the chosen time-based datasets and the ten selected features. The study demonstrates that classification accuracy levels of 90% and above can be reached in less than 40 seconds of training for most machine learning classifiers when one track data point, described by the ten selected features at a particular time step, per trajectory is used as input. It also shows that neural network models can achieve similar accuracy levels but at higher training time costs.

Supervision in neuropsychological assessment: a survey of training, practices, and perspectives of supervisors.

PubMed

Shultz, Laura A Schwent; Pedersen, Heather A; Roper, Brad L; Rey-Casserly, Celiane

2014-01-01

Within the psychology supervision literature, most theoretical models and practices pertain to general clinical or counseling psychology. Supervision specific to clinical neuropsychology has garnered little attention. This survey study explores supervision training, practices, and perspectives of neuropsychology supervisors. Practicing neuropsychologists were invited to participate in an online survey via listservs and email lists. Of 451 respondents, 382 provided supervision to students, interns, and/or fellows in settings such as VA medical centers (37%), university medical centers (35%), and private practice (15%). Most supervisors (84%) reported supervision was discussed in graduate school "minimally" or "not at all." Although 67% completed informal didactics or received continuing education in supervision, only 27% reported receiving training specific to neuropsychology supervision. Notably, only 39% were satisfied with their training in providing supervision and 77% indicated they would likely participate in training in providing supervision, if available at professional conferences. Results indicate that clinical neuropsychology as a specialty has paid scant attention to developing supervision models and explicit training in supervision skills. We recommend that the specialty develop models of supervision for neuropsychological practice, supervision standards and competencies, training methods in provision of supervision, and benchmark measures for supervision competencies.

Risk to researchers in qualitative research on sensitive topics: issues and strategies.

PubMed

Dickson-Swift, Virginia; James, Erica L; Kippen, Sandra; Liamputtong, Pranee

2008-01-01

Traditionally, risk assessments in research have been limited to examining the risks to the research participants. Although doing so is appropriate and important, there is growing recognition that undertaking research can pose risks to researchers as well. A grounded theory study involving a range of researchers who had undertaken qualitative health research on a sensitive topic was completed. Analysis of the in-depth, face-to-face unstructured individual interviews with 30 Australian public health researchers provided evidence that researchers do confront a number of physical and emotional risks when undertaking research. Training, preparation, and supervision must be taken into account so that the risk to researchers can be minimized. Researchers need to consider occupational health and safety issues in designing research projects that deal with physical and emotional risks. Recommendations for professional supervision, policy development, and minimum training standards for researchers are provided.

28 CFR 2.206 - Travel approval and transfers of supervision.

Code of Federal Regulations, 2010 CFR

2010-07-01

... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in the...

28 CFR 2.206 - Travel approval and transfers of supervision.

Code of Federal Regulations, 2011 CFR

2011-07-01

... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in the...

28 CFR 2.206 - Travel approval and transfers of supervision.

Code of Federal Regulations, 2013 CFR

2013-07-01

... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in the...

Iterative variational mode decomposition based automated detection of glaucoma using fundus images.

PubMed

Maheshwari, Shishir; Pachori, Ram Bilas; Kanhangad, Vivek; Bhandary, Sulatha V; Acharya, U Rajendra

2017-09-01

Glaucoma is one of the leading causes of permanent vision loss. It is an ocular disorder caused by increased fluid pressure within the eye. The clinical methods available for the diagnosis of glaucoma require skilled supervision. They are manual, time consuming, and out of reach of common people. Hence, there is a need for an automated glaucoma diagnosis system for mass screening. In this paper, we present a novel method for an automated diagnosis of glaucoma using digital fundus images. Variational mode decomposition (VMD) method is used in an iterative manner for image decomposition. Various features namely, Kapoor entropy, Renyi entropy, Yager entropy, and fractal dimensions are extracted from VMD components. ReliefF algorithm is used to select the discriminatory features and these features are then fed to the least squares support vector machine (LS-SVM) for classification. Our proposed method achieved classification accuracies of 95.19% and 94.79% using three-fold and ten-fold cross-validation strategies, respectively. This system can aid the ophthalmologists in confirming their manual reading of classes (glaucoma or normal) using fundus images. Copyright © 2017 Elsevier Ltd. All rights reserved.

Reducing the vulnerability of young Cambodians to HIV / STDs by mobilising and strengthening local NGO sector. RAS/88/P15.

PubMed

1999-06-01

This project seeks to help reduce the vulnerability of young Cambodians aged 12-25 to HIV/AIDS and sexually transmitted diseases (STDs) by strengthening nongovernmental organization (NGO) capacity to develop sustainable, effective and appropriate responses to HIV/AIDS and STDs. The strategies include strengthening local NGO capacity, sharing technical support concerning HIV/AIDS, and working together to develop information, education and communication on HIV/AIDS. Main activities included in the project are: 1) enable NGOs to undertake broader response to HIV/STDs by mobilizing, selecting, contracting, monitoring and supervising local NGO projects; 2) enhance local NGO capacity to work with the youth by organizing specialist training workshops, providing technical support and training in external relations and sustainability, and promoting local NGO/youth volunteer exchange and exposure programs; 3) strengthen the capacity of local NGOs through training, skill building, technical support and development of NGO support program; and 4) improve the knowledge base of programming for youth by identifying, documenting and disseminating effective programming models and tools.

A review of supervised object-based land-cover image classification

NASA Astrophysics Data System (ADS)

Ma, Lei; Li, Manchun; Ma, Xiaoxue; Cheng, Liang; Du, Peijun; Liu, Yongxue

2017-08-01

Object-based image classification for land-cover mapping purposes using remote-sensing imagery has attracted significant attention in recent years. Numerous studies conducted over the past decade have investigated a broad array of sensors, feature selection, classifiers, and other factors of interest. However, these research results have not yet been synthesized to provide coherent guidance on the effect of different supervised object-based land-cover classification processes. In this study, we first construct a database with 28 fields using qualitative and quantitative information extracted from 254 experimental cases described in 173 scientific papers. Second, the results of the meta-analysis are reported, including general characteristics of the studies (e.g., the geographic range of relevant institutes, preferred journals) and the relationships between factors of interest (e.g., spatial resolution and study area or optimal segmentation scale, accuracy and number of targeted classes), especially with respect to the classification accuracy of different sensors, segmentation scale, training set size, supervised classifiers, and land-cover types. Third, useful data on supervised object-based image classification are determined from the meta-analysis. For example, we find that supervised object-based classification is currently experiencing rapid advances, while development of the fuzzy technique is limited in the object-based framework. Furthermore, spatial resolution correlates with the optimal segmentation scale and study area, and Random Forest (RF) shows the best performance in object-based classification. The area-based accuracy assessment method can obtain stable classification performance, and indicates a strong correlation between accuracy and training set size, while the accuracy of the point-based method is likely to be unstable due to mixed objects. In addition, the overall accuracy benefits from higher spatial resolution images (e.g., unmanned aerial vehicle) or agricultural sites where it also correlates with the number of targeted classes. More than 95.6% of studies involve an area less than 300 ha, and the spatial resolution of images is predominantly between 0 and 2 m. Furthermore, we identify some methods that may advance supervised object-based image classification. For example, deep learning and type-2 fuzzy techniques may further improve classification accuracy. Lastly, scientists are strongly encouraged to report results of uncertainty studies to further explore the effects of varied factors on supervised object-based image classification.

Bayesian classification for the selection of in vitro human embryos using morphological and clinical data.

PubMed

Morales, Dinora Araceli; Bengoetxea, Endika; Larrañaga, Pedro; García, Miguel; Franco, Yosu; Fresnada, Mónica; Merino, Marisa

2008-05-01

In vitro fertilization (IVF) is a medically assisted reproduction technique that enables infertile couples to achieve successful pregnancy. Given the uncertainty of the treatment, we propose an intelligent decision support system based on supervised classification by Bayesian classifiers to aid to the selection of the most promising embryos that will form the batch to be transferred to the woman's uterus. The aim of the supervised classification system is to improve overall success rate of each IVF treatment in which a batch of embryos is transferred each time, where the success is achieved when implantation (i.e. pregnancy) is obtained. Due to ethical reasons, different legislative restrictions apply in every country on this technique. In Spain, legislation allows a maximum of three embryos to form each transfer batch. As a result, clinicians prefer to select the embryos by non-invasive embryo examination based on simple methods and observation focused on morphology and dynamics of embryo development after fertilization. This paper proposes the application of Bayesian classifiers to this embryo selection problem in order to provide a decision support system that allows a more accurate selection than with the actual procedures which fully rely on the expertise and experience of embryologists. For this, we propose to take into consideration a reduced subset of feature variables related to embryo morphology and clinical data of patients, and from this data to induce Bayesian classification models. Results obtained applying a filter technique to choose the subset of variables, and the performance of Bayesian classifiers using them, are presented.

Planning and supervision of reactor defueling using discrete event techniques

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

Garcia, H.E.; Imel, G.R.; Houshyar, A.

1995-12-31

New fuel handling and conditioning activities for the defueling of the Experimental Breeder Reactor II are being performed at Argonne National Laboratory. Research is being conducted to investigate the use of discrete event simulation, analysis, and optimization techniques to plan, supervise, and perform these activities in such a way that productivity can be improved. The central idea is to characterize this defueling operation as a collection of interconnected serving cells, and then apply operational research techniques to identify appropriate planning schedules for given scenarios. In addition, a supervisory system is being developed to provide personnel with on-line information on themore » progress of fueling tasks and to suggest courses of action to accommodate changing operational conditions. This paper provides an introduction to the research in progress at ANL. In particular, it briefly describes the fuel handling configuration for reactor defueling at ANL, presenting the flow of material from the reactor grid to the interim storage location, and the expected contributions of this work. As an example of the studies being conducted for planning and supervision of fuel handling activities at ANL, an application of discrete event simulation techniques to evaluate different fuel cask transfer strategies is given at the end of the paper.« less

A randomized, controlled trial of interventions to improve adherence to isoniazid therapy to prevent tuberculosis in injection drug users.

PubMed

Chaisson, R E; Barnes, G L; Hackman, J; Watkinson, L; Kimbrough , L; Metha, S; Cavalcante, S; Moore, R D

2001-06-01

To determine the effect of several interventions on adherence to tuberculosis preventive therapy. We conducted a randomized trial with a factorial design comparing strategies for improving adherence to isoniazid preventive therapy in 300 injection drug users with reactive tuberculin tests and no evidence of active tuberculosis. Patients were assigned to receive directly observed isoniazid preventive therapy twice weekly (Supervised group, n = 99), daily self-administered isoniazid with peer counseling and education (Peer group, n = 101), or routine care (Routine group, n = 100). Patients within each arm were also randomly assigned to receive an immediate or deferred monthly $10 stipend for maintaining adherence. The endpoints of the trial were completing 6 months of treatment, pill-taking as measured by self-report or observation, isoniazid metabolites present in urine, and bottle opening as determined by electronic monitors in a subset of patients. Completion of therapy was 80% for patients in the Supervised group, 78% in the Peer group, and 79% in the Routine group (P = 0.70). Completion was 83% (125 of 150) among patients receiving immediate incentives versus 75% (112 of 150) among patients with deferred incentives (P = 0.09). The proportion of patients who were observed or reported taking at least 80% of their doses was 82% for the Supervised arm of the study, compared with 71% for the Peer arm and 90% for the Routine arm. The proportion of patients who took 100% of doses was 77% for the Supervised arm (by observation), 6% for the Peer arm (by report), and 10% for the Routine arm (by report; P <0.001). Direct observation showed the median proportion of doses taken by the Supervised group was 100%, while electronic monitoring in a subset of patients showed the Peer group (n = 27) took 57% of prescribed doses and the Routine group (n = 32) took 49% (P <0.001). Patients in the Routine arm overreported adherence by twofold when data from electronic monitoring were used as a gold standard. There were no significant differences in electronically monitored adherence by type of incentive. Adherence to isoniazid preventive therapy by injection drug users is best with supervised care. Peer counseling improves adherence over routine care, as measured by electronic monitoring of pill caps, and patients receiving peer counseling more accurately reported their adherence. More widespread use of supervised care could contribute to reductions in tuberculosis rates among drug users and possibly other high-risk groups.

Cities and Statewide Afterschool Networks Partnering to Support Afterschool. Strategy Guide

ERIC Educational Resources Information Center

Shah, Bela P.

2009-01-01

In cities and towns across America, millions of children and youth get out of school by mid-afternoon but have neither a safe, supervised place to go nor a structured or engaging activity in which to participate. Because the hours between 3:00 and 6:00 p.m. are when young people are most likely to be affected by crime or to engage in risky…

A Time to Kill: When is Leadership Targeting an Effective Counterterrorism Strategy

DTIC Science & Technology

2007-12-01

4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2...personal ties, a leader can provide required financial support, acquire new recruits, and arrange the underground transportation of individuals. Thus... managing an evolving group of individuals. As long as the group remains relatively small, the leader can directly supervise all aspects of the

Prediction of bacterial associations with plants using a supervised machine-learning approach.

PubMed

Martínez-García, Pedro Manuel; López-Solanilla, Emilia; Ramos, Cayo; Rodríguez-Palenzuela, Pablo

2016-12-01

Recent scenarios of fresh produce contamination by human enteric pathogens have resulted in severe food-borne outbreaks, and a new paradigm has emerged stating that some human-associated bacteria can use plants as secondary hosts. As a consequence, there has been growing concern in the scientific community about these interactions that have not yet been elucidated. Since this is a relatively new area, there is a lack of strategies to address the problem of food-borne illnesses due to the ingestion of fruits and vegetables. In the present study, we performed specific genome annotations to train a supervised machine-learning model that allows for the identification of plant-associated bacteria with a precision of ∼93%. The application of our method to approximately 9500 genomes predicted several unknown interactions between well-known human pathogens and plants, and it also confirmed several cases for which evidence has been reported. We observed that factors involved in adhesion, the deconstruction of the plant cell wall and detoxifying activities were highlighted as the most predictive features. The application of our strategy to sequenced strains that are involved in food poisoning can be used as a primary screening tool to determine the possible causes of contaminations. © 2016 Society for Applied Microbiology and John Wiley & Sons Ltd.

Evaluation of a comprehensive home-based midwifery programme in South Kalimantan, Indonesia.

PubMed

Ronsmans, C; Endang, A; Gunawan, S; Zazri, A; McDermott, J; Koblinsky, M; Marshall, T

2001-10-01

We report the findings of an evaluation of a programme in three districts in South Kalimantan, Indonesia, which consisted of the training, deployment and supervision of a large number of professional midwives in villages, an information, education and communication (IEC) strategy to increase use of village midwives for birth, and a district-based maternal and perinatal audit (MPA). Before the programme, the midwives had limited ability to manage obstetric complications, and 90% of births took place at home. Only 37% were attended by a skilled attendant. By 1998-99, 510 midwives were posted in the districts and skilled attendance at delivery had increased to 59%. Through in-service training, continuous supervision and participation in the audit system midwives also gained confidence and skills in the management of obstetric complications. Despite this, the proportion admitted to hospital for a caesarean section declined from 1.7 to 1.4% and the proportion admitted to hospital with a complication requiring a life-saving intervention declined from 1.1% to 0.7%. The strategy of a midwife in every village has dramatically increased skilled birth attendance, but does not yet provide specialized obstetric care for all women needing it. The high cost of emergency obstetric interventions may well be the most important obstacle to the use of hospital care.

A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain

NASA Technical Reports Server (NTRS)

Hall, Lawrence O.; Bensaid, Amine M.; Clarke, Laurence P.; Velthuizen, Robert P.; Silbiger, Martin S.; Bezdek, James C.

1992-01-01

Magnetic resonance (MR) brain section images are segmented and then synthetically colored to give visual representations of the original data with three approaches: the literal and approximate fuzzy c-means unsupervised clustering algorithms and a supervised computational neural network, a dynamic multilayered perception trained with the cascade correlation learning algorithm. Initial clinical results are presented on both normal volunteers and selected patients with brain tumors surrounded by edema. Supervised and unsupervised segmentation techniques provide broadly similar results. Unsupervised fuzzy algorithms were visually observed to show better segmentation when compared with raw image data for volunteer studies. However, for a more complex segmentation problem with tumor/edema or cerebrospinal fluid boundary, where the tissues have similar MR relaxation behavior, inconsistency in rating among experts was observed.

An online semi-supervised brain-computer interface.

PubMed

Gu, Zhenghui; Yu, Zhuliang; Shen, Zhifang; Li, Yuanqing

2013-09-01

Practical brain-computer interface (BCI) systems should require only low training effort for the user, and the algorithms used to classify the intent of the user should be computationally efficient. However, due to inter- and intra-subject variations in EEG signal, intermittent training/calibration is often unavoidable. In this paper, we present an online semi-supervised P300 BCI speller system. After a short initial training (around or less than 1 min in our experiments), the system is switched to a mode where the user can input characters through selective attention. In this mode, a self-training least squares support vector machine (LS-SVM) classifier is gradually enhanced in back end with the unlabeled EEG data collected online after every character input. In this way, the classifier is gradually enhanced. Even though the user may experience some errors in input at the beginning due to the small initial training dataset, the accuracy approaches that of fully supervised method in a few minutes. The algorithm based on LS-SVM and its sequential update has low computational complexity; thus, it is suitable for online applications. The effectiveness of the algorithm has been validated through data analysis on BCI Competition III dataset II (P300 speller BCI data). The performance of the online system was evaluated through experimental results on eight healthy subjects, where all of them achieved the spelling accuracy of 85 % or above within an average online semi-supervised learning time of around 3 min.

Effectiveness of supervised toothbrushing and oral health education in improving oral hygiene status and practices of urban and rural school children: A comparative study.

PubMed

Damle, Satyawan G; Patil, Anil; Jain, Saru; Damle, Dhanashree; Chopal, Nilika

2014-09-01

To evaluate and compare the oral health status and the impact of supervised toothbrushing and oral health education among school children of urban and rural areas of Maharashtra, India. A total of 200 school children in the age group 12-15 years were selected by stratified random sampling technique from two schools and were further divided into two groups: Group A (urban school) and Group B (rural school). Both the groups were again subdivided into control group and study group. Supervised toothbrushing was recommended for both the groups. The toothbrushing teaching program included session on oral health education, individual toothbrushing instructions, and supervised toothbrushing. Dental caries increment, plaque scores, and gingival status were assessed as per the World Health Organization (WHO) criteria (1997), Turesky-Gilmore-Glickman modification of the Quigley Hein Plaque Index, and Loe-Silness Gingival Index (1963), respectively. Cronbach's alpha, Chi-square test, paired t-test, and unpaired t-test were utilized for data analysis. The mean plaque and gingival score reduction was significantly higher in the study groups as compared to the control groups. An increase in the mean of Decayed, missing, filled teeth (DMFT) and Decayed, missing, filled teeth and surfaces (DMFS) scores throughout the study period was seen in children who participated in study. Oral health education was effective in establishing good oral health habits among school children and also in enhancing the knowledge of their parents about good oral health.

Effect of denoising on supervised lung parenchymal clusters

NASA Astrophysics Data System (ADS)

Jayamani, Padmapriya; Raghunath, Sushravya; Rajagopalan, Srinivasan; Karwoski, Ronald A.; Bartholmai, Brian J.; Robb, Richard A.

2012-03-01

Denoising is a critical preconditioning step for quantitative analysis of medical images. Despite promises for more consistent diagnosis, denoising techniques are seldom explored in clinical settings. While this may be attributed to the esoteric nature of the parameter sensitve algorithms, lack of quantitative measures on their ecacy to enhance the clinical decision making is a primary cause of physician apathy. This paper addresses this issue by exploring the eect of denoising on the integrity of supervised lung parenchymal clusters. Multiple Volumes of Interests (VOIs) were selected across multiple high resolution CT scans to represent samples of dierent patterns (normal, emphysema, ground glass, honey combing and reticular). The VOIs were labeled through consensus of four radiologists. The original datasets were ltered by multiple denoising techniques (median ltering, anisotropic diusion, bilateral ltering and non-local means) and the corresponding ltered VOIs were extracted. Plurality of cluster indices based on multiple histogram-based pair-wise similarity measures were used to assess the quality of supervised clusters in the original and ltered space. The resultant rank orders were analyzed using the Borda criteria to nd the denoising-similarity measure combination that has the best cluster quality. Our exhaustive analyis reveals (a) for a number of similarity measures, the cluster quality is inferior in the ltered space; and (b) for measures that benet from denoising, a simple median ltering outperforms non-local means and bilateral ltering. Our study suggests the need to judiciously choose, if required, a denoising technique that does not deteriorate the integrity of supervised clusters.

Effects of supervised exercise on lipid profiles and blood pressure control in people with type 2 diabetes mellitus: a meta-analysis of randomized controlled trials.

PubMed

Hayashino, Yasuaki; Jackson, Jeffrey L; Fukumori, Norio; Nakamura, Fumiaki; Fukuhara, Shunichi

2012-12-01

Our study's purpose was to perform a systematic review to assess the effect of supervised exercise interventions on lipid profiles and blood pressure control. We searched electronic databases and selected studies that evaluated the effect of supervised exercise intervention on cardiovascular risk factors in adult people with type 2 diabetes. We used random effect models to derive weighted mean differences of exercise on lipid profiles and blood pressure control. Forty-two RCTs (2808 subjects) met inclusion criteria and are included in our meta-analysis. Structured exercise was associated with a change in systolic blood pressure (SBP) of -2.42 mmHg (95% CI, -4.39 to -0.45 mmHg), diastolic blood pressure (DBP) of -2.23 mmHg (95% CI, -3.21 to -1.25 mmHg), high-density lipoprotein cholesterol (HDL-C) of 0.04 mmol/L (95% CI, 0.02-0.07 mmol/L), and low-density lipoprotein cholesterol (LDL-C) of -0.16 mmol/L (95% CI, -0.30 to -0.01 mmol/L). Heterogeneity was partially explained by age, dietary co-intervention and the duration and intensity of the exercise. Supervised exercise is effective in improving blood pressure control, lowering LDL-C, and elevating HDL-C levels in people with diabetes. Physicians should recommend exercise for their adult patients with diabetes who can safely do so. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Promising Practices in E-Supervision: Exploring Graduate Speech-Language Pathology Interns’ Perceptions

PubMed Central

Carlin, Charles H.; Milam, Jennifer L.; Carlin, Emily L.; Owen, Ashley

2012-01-01

E-supervision has a potential role in addressing speech-language personnel shortages in rural and difficult to staff school districts. The purposes of this article are twofold: to determine how e-supervision might support graduate speech-language pathologist (SLP) interns placed in rural, remote, and difficult to staff public school districts; and, to investigate interns’ perceptions of in-person supervision compared to e-supervision. The study used a mixed methodology approach and collected data from surveys, supervision documents and records, and interviews. The results showed the use of e-supervision allowed graduate SLP interns to be adequately supervised across a variety of clients and professional activities in a manner that was similar to in-person supervision. Further, e-supervision was perceived as a more convenient and less stressful supervision format when compared to in-person supervision. Other findings are discussed and implications and limitations provided. PMID:25945201

The experience of clinical supervision for nurses and healthcare assistants in a secure adolescent service: Affecting service improvement.

PubMed

McCarron, R H; Eade, J; Delmage, E

2018-04-01

WHAT IS KNOWN ON THE SUBJECT?: Regular and effective clinical supervision for mental health nurses and healthcare assistants (HCAs) is an important tool in helping to reduce stress and burnout, and in ensuring safe, effective and high-quality mental health care. Previous studies of clinical supervision within secure mental health environments have found both a low availability of clinical supervision, and a low level of staff acceptance of its value, particularly for HCAs. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: In previous studies, the understanding shown by HCAs and nurses around the benefits of clinical supervision may have been limited by the methods used. This study was specifically designed to help them best express their views. In contrast to previous studies, both nurses and HCAs showed a good understanding of the function and value of clinical supervision. Significant improvements in the experience of, and access to, clinical supervision for nurses and HCAs working in secure mental health services may be achieved by raising staff awareness, demonstrating organizational support and increasing monitoring of clinical supervision. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Organizations should consider reviewing their approach to supervision to include raising staff awareness, multidisciplinary supervision, group supervision, and recording and tracking of supervision rates. Organizations should be mindful of the need to provide effective clinical supervision to HCAs as well as nurses. Introduction Studies have found a low availability and appreciation of clinical supervision, especially for healthcare assistants (HCAs). Qualitative research is needed to further understand this. Aims Increase understanding of nurses' and HCAs' experiences of, and access to, clinical supervision. Identify nurses' and HCAs' perceptions of the value and function of clinical supervision. Assess how interventions affect staff's experiences of clinical supervision. Methods In 2013, HCAs and nurses in a secure adolescent service were surveyed about clinical supervision. Forty-nine HCAs and 20 nurses responded. In 2014, interventions to facilitate supervision were introduced. In 2016, the study was repeated. Forty HCAs and 30 nurses responded. Responses were analysed using a mixed methods approach. Results Significantly more HCAs found supervision to be a positive experience in 2016, and both nurses and HCAs reported significantly fewer challenges in accessing supervision. HCAs and nurses understood the value of clinical supervision. Discussion Significant improvements in the experience of clinical supervision were achieved following increased staff awareness, multidisciplinary and group supervision, and recording supervision rates. HCAs and nurses understood the consequences of inadequate supervision. Implications for practice Organizations could adopt the interventions to facilitate clinical supervision. Supervision should not be overlooked for HCAs. © 2017 John Wiley & Sons Ltd.

How do Parents Manage Irritability, Challenging Behaviour, Non-Compliance and Anxiety in Children with Autism Spectrum Disorders? A Meta-Synthesis.

PubMed

O'Nions, Elizabeth; Happé, Francesca; Evers, Kris; Boonen, Hannah; Noens, Ilse

2018-04-01

Although there is increasing research interest in the parenting of children with ASD, at present, little is known about everyday strategies used to manage problem behaviour. We conducted a meta-synthesis to explore what strategies parents use to manage irritability, non-compliance, challenging behaviour and anxiety in their children with ASD. Approaches included: (1) accommodating the child; (2) modifying the environment; (3) providing structure, routine and occupation; (4) supervision and monitoring; (5) managing non-compliance with everyday tasks; (6) responding to problem behaviour; (7) managing distress; (8) maintaining safety and (9) analysing and planning. Results suggest complex parenting demands in children with ASD and problem behaviour. Findings will inform the development of a new measure to quantify parenting strategies relevant to ASD.

An Approach to Supervision for Doctoral and Entry-Level Group Counseling Students

ERIC Educational Resources Information Center

Walsh, Robyn; Bambacus, Elizabeth; Gibson, Donna

2017-01-01

The purpose of this article is to provide a supervision approach to experiential groups that replaces professors with doctoral students in the chain of supervision, enlists a faculty member to provide supervision of supervision to the doctoral students, and translates supervision theory to meet the unique needs of group counseling supervision.…

Improving Molecular Genetic Test Utilization through Order Restriction, Test Review, and Guidance.

PubMed

Riley, Jacquelyn D; Procop, Gary W; Kottke-Marchant, Kandice; Wyllie, Robert; Lacbawan, Felicitas L

2015-05-01

The ordering of molecular genetic tests by health providers not well trained in genetics may have a variety of untoward effects. These include the selection of inappropriate tests, the ordering of panels when the assessment of individual or fewer genes would be more appropriate, inaccurate result interpretation and inappropriate patient guidance, and significant unwarranted cost expenditure. We sought to improve the utilization of molecular genetic tests by requiring providers without specialty training in genetics to use genetic counselors and molecular genetic pathologists to assist in test selection. We used a genetic and genomic test review process wherein the laboratory-based genetic counselor performed the preanalytic assessment of test orders and test triage. Test indication and clinical findings were evaluated against the test panel composition, methods, and test limitations under the supervision of the molecular genetic pathologist. These test utilization management efforts resulted in a decrease in genetic test ordering and a gross cost savings of $1,531,913 since the inception of these programs in September 2011 through December 2013. The combination of limiting the availability of complex genetic tests and providing guidance regarding appropriate test strategies is an effective way to improve genetic tests, contributing to judicious use of limited health care resources. Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

Integrating mental health into primary care in Nigeria: report of a demonstration project using the mental health gap action programme intervention guide.

PubMed

Gureje, Oye; Abdulmalik, Jibril; Kola, Lola; Musa, Emmanuel; Yasamy, Mohammad Taghi; Adebayo, Kazeem

2015-06-21

The World Mental Health Surveys conducted by the World Health Organization (WHO) have shown that huge treatment gaps for severe mental disorders exist in both developed and developing countries. This gap is greatest in low and middle income countries (LMICs). Efforts to scale up mental health services in LMICs have to contend with the paucity of mental health professionals and health facilities providing specialist services for mental, neurological and substance use (MNS) disorders. A pragmatic solution is to improve access to care through the facilities that exist closest to the community, via a task-shifting strategy. This study describes a pilot implementation program to integrate mental health services into primary health care in Nigeria. The program was implemented over 18 months in 8 selected local government areas (LGAs) in Osun state of Nigeria, using the WHO Mental Health Gap Action Programme Intervention Guide (mhGAP-IG), which had been contextualized for the local setting. A well supervised cascade training model was utilized, with Master Trainers providing training for the Facilitators, who in turn conducted several rounds of training for front-line primary health care workers. The first set of trainings by the Facilitators was supervised and mentored by the Master Trainers and refresher trainings were provided after 9 months. A total of 198 primary care workers, from 68 primary care clinics, drawn from 8 LGAs with a combined population of 966,714 were trained in the detection and management of four MNS conditions: moderate to severe major depression, psychosis, epilepsy, and alcohol use disorders, using the mhGAP-IG. Following training, there was a marked improvement in the knowledge and skills of the health workers and there was also a significant increase in the numbers of persons identified and treated for MNS disorders, and in the number of referrals. Even though substantial retention of gained knowledge was observed nine months after the initial training, some level of decay had occurred supporting the need for a refresher training. It is feasible to scale up mental health services in primary care settings in Nigeria, using the mhGAP-IG and a well-supervised cascade-training model. This format of training is pragmatic, cost-effective and holds promise, especially in settings where there are few specialists.

Burden and depression in the caregivers of blind patients in India.

PubMed

Braich, Puneet S; Lal, Vikram; Hollands, Simon; Almeida, David R

2012-02-01

Several studies have examined the rates of depression in caregivers of patients with debilitating neurologic diseases. This study describes the degree of burden and the prevalence of depression among individuals caring for legally blind patients. To the best of our knowledge, no prior studies in the ophthalmic literature have reported this relationship. Clinic-based, cross-sectional study. We included 522 individuals in Rampur, India, providing care to their close family relatives who were legally blind. Visual acuities varied from 20/200 in the best eye, to no light perception (NLP) in each eye. Several surveys were completed by the caregivers of patients whose sole impairment was visual, allowing us to quantitatively and selectively assess burden and depression among caregivers of blind patients. The Burden Index of Caregivers (BIC) was used to measure care burden and the Center for Epidemiologic Studies Depression scale was applied to determine depression. Caregivers of patients with NLP experience higher burden than caregivers of patients with lesser degrees of blindness. Daily hours spent on close supervision and the intensity of care-giving were the definitive factors linked to high BIC scores (P<0.01). The prevalence of caregiver depression increased with degree of visual impairment from 16% in the 20/200 group to 48% in the NLP cohort (P<0.01). Independently related variables for depression in caregivers were daily hours required for close supervision of the patient, intensity of care-giving, low household income, and the caregiver being the parent of a blind adult child (P<0.01). Severity of blindness in patients directly correlated with burden in caregivers. More severe forms of blindness meant patients require more help with their activities of daily living and additional hours of close supervision per day, both of which increase care burden. The same 2 factors also increase risk of caregiver depression along with low household income and the caregiver being the parent of a blind adult child. Awareness of the extent of burden and depression among caregivers of blind individuals is required by vision health personnel to identify at risk caregivers and implement effective interventions and support strategies. Copyright © 2012 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Supervised Occupational Experience Record Forms for Ornamental Horticulture. (Revised) Master Set. 1974.

ERIC Educational Resources Information Center

Harrison, R. W.; And Others

The worksheets have been developed for use with any production occupational or work experience record book for high school vocational agriculture programs. Separate units have been developed for each of 11 areas in ornamental horticulture, so the student and teacher can select the appropriate one, or several, for the experiences planned by the…

A New Model of Clinical Education to Increase Student Placement Availability: The Capacity Development Facilitator Model

ERIC Educational Resources Information Center

Fairbrother, Michele; Nicole, Madelyn; Blackford, Julia; Nagarajan, Srivalli Vilapakkam; McAllister, Lindy

2016-01-01

This paper reports on a trial of a new model of clinical education designed to increase student clinical placement availability and address workforce constraints on supervision. The University of Sydney deployed the Capacity Development Facilitators (CDF) in selected Sydney hospitals to work with staff to expand student clinical placement…

Trends Impacting One Public School Program for Students Who Are Deaf or Hard-of-Hearing

ERIC Educational Resources Information Center

Miller, Kevin J.

2014-01-01

This article reflects on the author's experience supervising a public school program for students who are deaf or hard-of-hearing, specifically addressing national, regional, and local trends affecting it. These trends included teacher efficacy, changes in educational service delivery, advances in technology, the selection of the listening and…

Examining Behavioral Change among Supervision and Management Undergraduates in a Selected College

ERIC Educational Resources Information Center

Litt, Sheri Diamond

2010-01-01

A baccalaureate education was once limited to an elite population of high school graduates in pursuit of guaranteed career success. Today, more than 70% of high school graduates opt to attend college to earn a baccalaureate degree, due to economic, global, and technological changes. While this percent has significantly risen, employers are…

Toni Wolff-James Kirsch correspondence.

PubMed

Kirsch, Thomas B

2003-09-01

This paper draws on the letters between Toni Wolff and James Kirsch from 1929-1933 and from 1949-1953 to highlight some aspects of Toni Wolff's relationship with her superviser and former analysand, James Kirsch. Her personality, her approach to her work as analyst, and her relationship with Jung and with colleagues are illustrated with selected quotes from the correspondence.

Effectiveness of Supervisions Conducted by Primary Education Supervisors According to School Principals' Evaluations

ERIC Educational Resources Information Center

Yavuz, Mustafa

2010-01-01

The author conducted a qualitative case study. The population of the study consisted of 8 randomly selected school principals in the area of primary education supervisors working in Konya, a province of the Turkish Republic. Face-to-face and semistructured interviews were held with the school principals within the population for 90 min. The…

Biology Labs That Work: The Best of How-To-Do-Its. Volume II.

ERIC Educational Resources Information Center

Black, Suzanne, Ed.; Moore, Randy, Ed.; Haugen, Heidi, Ed.

This selected collection of How-To-Do-It articles published in the American Biology Teacher during the past six years presents experiments that can be conducted safely under properly trained and responsible teacher supervision. Contents include: (1) "General Biology and the Nature of Science"; (2) "Cells and Molecules"; (3) "Microbes and Fungi";…

Cluster Supervision Practices in Primary School of Jimma Zone

ERIC Educational Resources Information Center

Afework, E. A.; Frew, A. T.; Abeya, G. G.

2017-01-01

The main objective of this study was to assess the supervisory practice of cluster resource centre (CRC) supervisors in Jimma Zone primary schools. To achieve this purpose, the descriptive survey design was employed. Data were collected from 238 randomly selected teachers, and 60 school principals with a response rate of 98.6%. Moreover, 12 CRC…

Pediatric Oncology Branch - training- resident electives | Center for Cancer Research

Cancer.gov

Resident Electives Select pediatric residents may be approved for a 4-week elective rotation at the Pediatric Oncology Branch. This rotation emphasizes the important connection between research and patient care in pediatric oncology. The resident is supervised directly by the Branch’s attending physician and clinical fellows. Residents attend daily in-patient and out-patient

The impact of positive and negative intraoperative surgeons' leadership behaviors on surgical team performance.

PubMed

Barling, Julian; Akers, Amy; Beiko, Darren

2018-01-01

The effects of surgeons' leadership on team performance are not well understood. The purpose of this study was to examine the simultaneous effects of transformational, passive, abusive supervision and over-controlling leadership behaviors by surgeons on surgical team performance. Trained observers attended 150 randomly selected operations at a tertiary care teaching hospital. Observers recorded instances of the four leadership behaviors enacted by the surgeon. Postoperatively, team members completed validated questionnaires rating team cohesion and collective efficacy. Multiple regression analyses were computed. Data were analyzed using the complex modeling function in MPlus. Surgeons' abusive supervision was negatively associated with psychological safety (unstandardized B = -0.352, p < 0.01). Both surgeons' abusive supervision (unstandardized B = -0.237, p < 0.01), and over-controlling leadership (unstandardized B = -0.230, p < 0.05) were negatively associated with collective efficacy. This study is the first to assess the simultaneous effects of surgeons' positive and negative leadership behaviors on intraoperative team performance. Significant effects only surfaced for negative leadership behaviors; transformational leadership did not positively influence team performance. Copyright © 2017 Elsevier Inc. All rights reserved.

Outcomes related to effective nurse supervision in long-term care homes: an integrative review.

PubMed

McGilton, Katherine S; Chu, Charlene H; Shaw, Alexander C; Wong, Rosalind; Ploeg, Jenny

2016-11-01

The aim of this integrative review was to describe the organisational, unregulated nurse, and resident outcomes associated with effective supervisory performance of regulated nurses (registered nurses or registered practical nurses) in long-term care homes. While there are data on the influence of regulated nurse staffing levels on resident outcomes, the influence of effective supervisory performance of regulated nurses on resident and organisational outcomes, nursing assistant outcomes have yet to be comprehensively explored. A search of six databases was made for articles dating from 2000 to 2015. Twenty-four articles were selected and an integrative review was performed. Effective nurse supervision had statistically significant positive associations (P < 0.05, P < 0.000) with six different organisational, unregulated nurse and resident outcomes: nurse assistant job satisfaction, turnover/intention to leave, effectiveness, decision making, job stress and consumer satisfaction. Qualitative analyses corroborate these findings. There appear to be some associations between effective supervisory performance of regulated nurses with positive organisational, unregulated nursing and resident outcomes. Nursing managers and leaders in long-term care may promote improvements in effective nurse supervision performance as a way of reducing turnover and improving resident outcomes. © 2016 John Wiley & Sons Ltd.

Unsupervised active learning based on hierarchical graph-theoretic clustering.

PubMed

Hu, Weiming; Hu, Wei; Xie, Nianhua; Maybank, Steve

2009-10-01

Most existing active learning approaches are supervised. Supervised active learning has the following problems: inefficiency in dealing with the semantic gap between the distribution of samples in the feature space and their labels, lack of ability in selecting new samples that belong to new categories that have not yet appeared in the training samples, and lack of adaptability to changes in the semantic interpretation of sample categories. To tackle these problems, we propose an unsupervised active learning framework based on hierarchical graph-theoretic clustering. In the framework, two promising graph-theoretic clustering algorithms, namely, dominant-set clustering and spectral clustering, are combined in a hierarchical fashion. Our framework has some advantages, such as ease of implementation, flexibility in architecture, and adaptability to changes in the labeling. Evaluations on data sets for network intrusion detection, image classification, and video classification have demonstrated that our active learning framework can effectively reduce the workload of manual classification while maintaining a high accuracy of automatic classification. It is shown that, overall, our framework outperforms the support-vector-machine-based supervised active learning, particularly in terms of dealing much more efficiently with new samples whose categories have not yet appeared in the training samples.

Artificial neural network classification using a minimal training set - Comparison to conventional supervised classification

NASA Technical Reports Server (NTRS)

Hepner, George F.; Logan, Thomas; Ritter, Niles; Bryant, Nevin

1990-01-01

Recent research has shown an artificial neural network (ANN) to be capable of pattern recognition and the classification of image data. This paper examines the potential for the application of neural network computing to satellite image processing. A second objective is to provide a preliminary comparison and ANN classification. An artificial neural network can be trained to do land-cover classification of satellite imagery using selected sites representative of each class in a manner similar to conventional supervised classification. One of the major problems associated with recognition and classifications of pattern from remotely sensed data is the time and cost of developing a set of training sites. This reseach compares the use of an ANN back propagation classification procedure with a conventional supervised maximum likelihood classification procedure using a minimal training set. When using a minimal training set, the neural network is able to provide a land-cover classification superior to the classification derived from the conventional classification procedure. This research is the foundation for developing application parameters for further prototyping of software and hardware implementations for artificial neural networks in satellite image and geographic information processing.

Adapting Evidence-based Interventions using a Common Theory, Practices, and Principles

PubMed Central

Rotheram-Borus, Mary Jane; Swendeman, Dallas; Becker, Kimberly D.

2013-01-01

Objective Hundreds of validated evidence-based intervention programs (EBIP) aim to improve families’ well-being, however, most are not broadly adopted. As an alternative diffusion strategy, we created wellness centers to reach families’ everyday lives with a prevention framework. Method At two wellness centers, one in a middle-class neighborhood and one in a low-income neighborhood, popular local activity leaders (instructors of martial arts, yoga, sports, music, dancing, zumba), and motivated parents were trained to be Family Mentors. Trainings focused on a framework which taught synthesized, foundational prevention science theory, practice elements, and principles, applied to specific content areas (parenting, social skills, and obesity). Family Mentors were then allowed to adapt scripts and activities based on their cultural experiences, but were closely monitored and supervised over time. The framework was implemented in a range of activities (summer camps, coaching) aimed at improving social, emotional, and behavioral outcomes. Results Successes and challenges are discussed for: 1) engaging parents and communities; 2) identifying and training Family Mentors to promote children and families’ well-being; and 3) gathering data for supervision, outcome evaluation, and continuous quality improvement (CQI). Conclusion To broadly diffuse prevention to families, far more experimentation is needed with alternative and engaging implementation strategies that are enhanced with knowledge harvested from researchers’ past 30 years of experience creating EBIP. One strategy is to train local parents and popular activity leaders in applying robust prevention science theory, common practice elements, and principles of EBIP. More systematic evaluation of such innovations is needed. PMID:24079747

Towards harmonized seismic analysis across Europe using supervised machine learning approaches

NASA Astrophysics Data System (ADS)

Zaccarelli, Riccardo; Bindi, Dino; Cotton, Fabrice; Strollo, Angelo

2017-04-01

In the framework of the Thematic Core Services for Seismology of EPOS-IP (European Plate Observing System-Implementation Phase), a service for disseminating a regionalized logic-tree of ground motions models for Europe is under development. While for the Mediterranean area the large availability of strong motion data qualified and disseminated through the Engineering Strong Motion database (ESM-EPOS), supports the development of both selection criteria and ground motion models, for the low-to-moderate seismic regions of continental Europe the development of ad-hoc models using weak motion recordings of moderate earthquakes is unavoidable. Aim of this work is to present a platform for creating application-oriented earthquake databases by retrieving information from EIDA (European Integrated Data Archive) and applying supervised learning models for earthquake records selection and processing suitable for any specific application of interest. Supervised learning models, i.e. the task of inferring a function from labelled training data, have been extensively used in several fields such as spam detection, speech and image recognition and in general pattern recognition. Their suitability to detect anomalies and perform a semi- to fully- automated filtering on large waveform data set easing the effort of (or replacing) human expertise is therefore straightforward. Being supervised learning algorithms capable of learning from a relatively small training set to predict and categorize unseen data, its advantage when processing large amount of data is crucial. Moreover, their intrinsic ability to make data driven predictions makes them suitable (and preferable) in those cases where explicit algorithms for detection might be unfeasible or too heuristic. In this study, we consider relatively simple statistical classifiers (e.g., Naive Bayes, Logistic Regression, Random Forest, SVMs) where label are assigned to waveform data based on "recognized classes" needed for our use case. These classes might be a simply binary case (e.g., "good for analysis" vs "bad") or more complex one (e.g., "good for analysis" vs "low SNR", "multi-event", "bad coda envelope"). It is important to stress the fact that our approach can be generalized to any use case providing, as in any supervised approach, an adequate training set of labelled data, a feature-set, a statistical classifier, and finally model validation and evaluation. Examples of use cases considered to develop the system prototype are the characterization of the ground motion in low seismic areas; harmonized spectral analysis across Europe for source and attenuation studies; magnitude calibration; coda analysis for attenuation studies.

Training oncology and palliative care clinical nurse specialists in psychological skills: evaluation of a pilot study.

PubMed

Clark, Jane E; Aitken, Susan; Watson, Nina; McVey, Joanne; Helbert, Jan; Wraith, Anita; Taylor, Vanessa; Catesby, Sarah

2015-06-01

National guidelines in the United Kingdom recommend training Clinical Nurse Specialists in psychological skills to improve the assessment and intervention with psychological problems experienced by people with a cancer diagnosis (National Institute for Health and Clinical Excellence, 2004). This pilot study evaluated a three-day training program combined with supervision sessions from Clinical Psychologists that focused on developing skills in psychological assessment and intervention for common problems experienced by people with cancer. Questionnaires were developed to measure participants' levels of confidence in 15 competencies of psychological skills. Participants completed these prior to the program and on completion of the program. Summative evaluation was undertaken and results were compared. In addition, a focus group interview provided qualitative data of participants' experiences of the structure, process, and outcomes of the program. Following the program, participants rated their confidence in psychological assessment and skills associated with providing psychological support as having increased in all areas. This included improved knowledge of psychological theories, skills in assessment and intervention and accessing and using supervision appropriately. The largest increase was in providing psycho-education to support the coping strategies of patients and carers. Thematic analysis of interview data identified two main themes including learning experiences and program enhancements. The significance of the clinical supervision sessions as key learning opportunities, achieved through the development of a community of practice, emerged. Although this pilot study has limitations, the results suggest that a combined teaching and supervision program is effective in improving Clinical Nurse Specialists' confidence level in specific psychological skills. Participants' experiences highlighted suggestions for refinement and development of the program. Opportunities for further research and developments in this area are discussed.

A cost-benefit/cost-effectiveness analysis of proposed supervised injection facilities in Ottawa, Canada.

PubMed

Jozaghi, Ehsan; Reid, Andrew A; Andresen, Martin A; Juneau, Alexandre

2014-08-04

Supervised injection facilities (SIFs) are venues where people who inject drugs (PWID) have access to a clean and medically supervised environment in which they can safely inject their own illicit drugs. There is currently only one legal SIF in North America: Insite in Vancouver, British Columbia, Canada. The responses and feedback generated by the evaluations of Insite in Vancouver have been overwhelmingly positive. This study assesses whether the above mentioned facility in the Downtown Eastside of Vancouver needs to be expanded to other locations, more specifically that of Canada's capital city, Ottawa. The current study is aimed at contributing to the existing literature on health policy by conducting cost-benefit and cost-effective analyses for the opening of SIFs in Ottawa, Ontario. In particular, the costs of operating numerous SIFs in Ottawa was compared to the savings incurred; this was done after accounting for the prevention of new HIV and Hepatitis C (HCV) infections. To ensure accuracy, two distinct mathematical models and a sensitivity analysis were employed. The sensitivity analyses conducted with the models reveals the potential for SIFs in Ottawa to be a fiscally responsible harm reduction strategy for the prevention of HCV cases--when considered independently. With a baseline sharing rate of 19%, the cumulative annual cost model supported the establishment of two SIFs and the marginal annual cost model supported the establishment of a single SIF. More often, the prevention of HIV or HCV alone were not sufficient to justify the establishment cost-effectiveness; rather, only when both HIV and HCV are considered does sufficient economic support became apparent. Funded supervised injection facilities in Ottawa appear to be an efficient and effective use of financial resources in the public health domain.

Barriers to providing quality emergency obstetric care in Addis Ababa, Ethiopia: Healthcare providers' perspectives on training, referrals and supervision, a mixed methods study.

PubMed

Austin, Anne; Gulema, Hanna; Belizan, Maria; Colaci, Daniela S; Kendall, Tamil; Tebeka, Mahlet; Hailemariam, Mengistu; Bekele, Delayehu; Tadesse, Lia; Berhane, Yemane; Langer, Ana

2015-03-29

Increasing women's access to and use of facilities for childbirth is a critical national strategy to improve maternal health outcomes in Ethiopia; however coverage alone is not enough as the quality of emergency obstetric services affects maternal mortality and morbidity. Addis Ababa has a much higher proportion of facility-based births (82%) than the national average (11%), but timely provision of quality emergency obstetric care remains a significant challenge for reducing maternal mortality and improving maternal health. The purpose of this study was to assess barriers to the provision of emergency obstetric care in Addis Ababa from the perspective of healthcare providers by analyzing three factors: implementation of national referral guidelines, staff training, and staff supervision. A mixed methods approach was used to assess barriers to quality emergency obstetric care. Qualitative analyses included twenty-nine, semi-structured, key informant interviews with providers from an urban referral network consisting of a hospital and seven health centers. Quantitative survey data were collected from 111 providers, 80% (111/138) of those providing maternal health services in the same referral network. Respondents identified a lack of transportation and communication infrastructure, overcrowding at the referral hospital, insufficient pre-service and in-service training, and absence of supportive supervision as key barriers to provision of quality emergency obstetric care. Dedicated transportation and communication infrastructure, improvements in pre-service and in-service training, and supportive supervision are needed to maximize the effective use of existing human resources and infrastructure, thus increasing access to and the provision of timely, high quality emergency obstetric care in Addis Ababa, Ethiopia.

A cost-benefit/cost-effectiveness analysis of proposed supervised injection facilities in Ottawa, Canada

PubMed Central

2014-01-01

Background Supervised injection facilities (SIFs) are venues where people who inject drugs (PWID) have access to a clean and medically supervised environment in which they can safely inject their own illicit drugs. There is currently only one legal SIF in North America: Insite in Vancouver, British Columbia, Canada. The responses and feedback generated by the evaluations of Insite in Vancouver have been overwhelmingly positive. This study assesses whether the above mentioned facility in the Downtown Eastside of Vancouver needs to be expanded to other locations, more specifically that of Canada’s capital city, Ottawa. Methods The current study is aimed at contributing to the existing literature on health policy by conducting cost-benefit and cost-effective analyses for the opening of SIFs in Ottawa, Ontario. In particular, the costs of operating numerous SIFs in Ottawa was compared to the savings incurred; this was done after accounting for the prevention of new HIV and Hepatitis C (HCV) infections. To ensure accuracy, two distinct mathematical models and a sensitivity analysis were employed. Results The sensitivity analyses conducted with the models reveals the potential for SIFs in Ottawa to be a fiscally responsible harm reduction strategy for the prevention of HCV cases – when considered independently. With a baseline sharing rate of 19%, the cumulative annual cost model supported the establishment of two SIFs and the marginal annual cost model supported the establishment of a single SIF. More often, the prevention of HIV or HCV alone were not sufficient to justify the establishment cost-effectiveness; rather, only when both HIV and HCV are considered does sufficient economic support became apparent. Conclusions Funded supervised injection facilities in Ottawa appear to be an efficient and effective use of financial resources in the public health domain. PMID:25091704

Supervised exercise training as an adjunct therapy for venous leg ulcers: a randomized controlled feasibility trial.

PubMed

Klonizakis, M; Tew, G A; Gumber, A; Crank, H; King, B; Middleton, G; Michaels, J A

2018-05-01

Venous leg ulcers (VLUs) are typically painful and heal slowly. Compression therapy offers high healing rates; however, improvements are not usually sustained. Exercise is a low-cost, low-risk and effective strategy for improving physical and mental health. Little is known about the feasibility and efficacy of supervised exercise training used in combination with compression therapy patients with VLUs. To assess the feasibility of a 12-week supervised exercise programme as an adjunct therapy to compression in patients with VLUs. This was a two-centre, two-arm, parallel-group, randomized feasibility trial. Thirty-nine patients with venous ulcers were recruited and randomized 1 : 1 either to exercise (three sessions weekly) plus compression therapy or compression only. Progress/success criteria included exercise attendance rate, loss to follow-up and patient preference. Baseline assessments were repeated at 12 weeks, 6 months and 1 year, with healing rate and time, ulcer recurrence and infection incidents documented. Intervention and healthcare utilization costs were calculated. Qualitative data were collected to assess participants' experiences. Seventy-two per cent of the exercise group participants attended all scheduled exercise sessions. No serious adverse events and only two exercise-related adverse events (both increased ulcer discharge) were reported. Loss to follow-up was 5%. At 12 months, median ulcer healing time was lower in the exercise group (13 vs. 34·7 weeks). Mean National Health Service costs were £813·27 for the exercise and £2298·57 for the control group. The feasibility and acceptability of both the supervised exercise programme in conjunction with compression therapy and the study procedures is supported. © 2017 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

New developments in technology-assisted supervision and training: a practical overview.

PubMed

Rousmaniere, Tony; Abbass, Allan; Frederickson, Jon

2014-11-01

Clinical supervision and training are now widely available online. In this article, three of the most accessible and widely adopted new developments in clinical supervision and training technology are described: Videoconference supervision, cloud-based file sharing software, and clinical outcome tracking software. Partial transcripts from two online supervision sessions are provided as examples of videoconference-based supervision. The benefits and limitations of technology in supervision and training are discussed, with an emphasis on supervision process, ethics, privacy, and security. Recommendations for supervision practice are made, including methods to enhance experiential learning, the supervisory working alliance, and online security. © 2014 Wiley Periodicals, Inc.

Supervised and non-supervised Nordic walking in the treatment of chronic low back pain: a single blind randomized clinical trial

PubMed Central

2010-01-01

Background Active approaches including both specific and unspecific exercise are probably the most widely recommended treatment for patients with chronic low back pain but it is not known exactly which types of exercise provide the most benefit. Nordic Walking - power walking using ski poles - is a popular and fast growing type of exercise in Northern Europe that has been shown to improve cardiovascular metabolism. Until now, no studies have been performed to investigate whether Nordic Walking has beneficial effects in relation to back pain. Methods A total of 151 patients with low back and/or leg pain of greater than eight weeks duration were recruited from a hospital based outpatient back pain clinic. Patients continuing to have pain greater than three on the 11-point numeric rating scale after a multidisciplinary intervention were included. Fifteen patients were unable to complete the baseline evaluation and 136 patients were randomized to receive A) Nordic walking supervised by a specially trained instructor twice a week for eight weeks B) One-hour instruction in Nordic walking by a specially trained instructor followed by advice to perform Nordic walking at home as much as they liked for eight weeks or C) Individual oral information consisting of advice to remain active and about maintaining the daily function level that they had achieved during their stay at the backcenter. Primary outcome measures were pain and disability using the Low Back Pain Rating Scale, and functional limitation further assessed using the Patient Specific Function Scale. Furthermore, information on time off work, use of medication, and concurrent treatment for their low back pain was collected. Objective measurements of physical activity levels for the supervised and unsupervised Nordic walking groups were performed using accelerometers. Data were analyzed on an intention-to-treat basis. Results No mean differences were found between the three groups in relation to any of the outcomes at baseline. For pain, disability, and patient specific function the supervised Nordic walking group generally faired best however no statistically significant differences were found. Regarding the secondary outcome measures, patients in the supervised group tended to use less pain medication, to seek less concurrent care for their back pain, at the eight-week follow-up. There was no difference between physical activity levels for the supervised and unsupervised Nordic walking groups. No negative side effects were reported. Conclusion We did not find statistically significant differences between eight weeks of supervised or unsupervised Nordic walking and advice to remain active in a group of chronic low back pain patients. Nevertheless, the greatest average improvement tended to favor the supervised Nordic walking group and - taking into account other health related benefits of Nordic walking - this form of exercise may potentially be of benefit to selected groups of chronic back pain patients. Trial registration http://www.ClinicalTrials.gov # NCT00209820 PMID:20146793

Special Issue on Clinical Supervision: A Reflection

ERIC Educational Resources Information Center

Bernard, Janine M.

2010-01-01

This special issue about clinical supervision offers an array of contributions with disparate insights into the supervision process. Using a synergy of supervision model, the articles are categorized as addressing the infrastructure required for adequate supervision, the relationship dynamics endemic to supervision, or the process of delivering…

Accelerating Imitation Learning in Relational Domains via Transfer by Initialization

DTIC Science & Technology

2013-08-28

Warcraft , regulation of traffic lights, logistics, and a variety of planning domains. A supervised learning method for imitation learning was recently...some information about the world (traffic density at a signal, distance to the goal etc.). We assume a functional parametrization over the policy and...strategy (RTS) game engine written in C based off the Warcraft series of games. Like all RTS games, it allows multiple agents to be controlled

Pairing students in clinical assignments to develop collaboration and communication skills.

PubMed

Bartges, Mali

2012-01-01

Skillful collaboration and communication among healthcare team members are associated with favorable patient outcomes. Student nurses need opportunities for supervised development of these crucial and intertwined skills. The author describes the implementation of a practice-change project for simultaneously developing collaboration and communication skills by pairing prelicensure student nurses in clinical assignments. This easily adapted strategy increases options for faculty looking to stimulate student acquisition of these professional skills.

Islam in Tanzania and Kenya: Ally or Foe in the War on Terror?

DTIC Science & Technology

2009-01-01

US foreign policy in the region. The recent US strategy of intelligence-sharing with Kenya, training and military support to both Kenya and Tanzania...assisted one another in establishing businesses , houses, schools, and so forth.43 Indeed, they were among the first Muslim groups to establish...be debated at that level , although under supervision from the central government. Also, local elections occurred for representatives, even if both

Performance and Attitudes as a Function of Degree of Supervision in a School Laboratory Setting

ERIC Educational Resources Information Center

Kazanas, H. C.; Burns, G. G.

1977-01-01

High- and low-mental-ability secondary school students randomly divided into three supervision treatment groups (no supervision, supervision without verbal exchange from the teacher, and supervision with verbal exchange) showed no performance variations but evidenced better attitudes with the third supervision treatment. (MJB)

Direct Supervision in Outpatient Psychiatric Graduate Medical Education.

PubMed

Galanter, Cathryn A; Nikolov, Roumen; Green, Norma; Naidoo, Shivana; Myers, Michael F; Merlino, Joseph P

2016-02-01

The authors describe a stimulus case that led training staff to examine and revise the supervision policy of the adult and child and adolescent psychiatry clinics. To inform the revisions, the authors reviewed the literature and national policies. The authors conducted a literature review in PubMed using the following criteria: Supervision, Residents, Training, Direct, and Indirect and a supplemental review in Academic Psychiatry. The authors reviewed institutional and Accreditation Council for Graduate Medical Education resident and fellow supervision policies to develop an outpatient and fellow supervision policy. Research is limited in psychiatry with three experimental articles demonstrating positive impact of direct supervision and several suggesting different techniques for direct supervision. In other areas of medicine, direct supervision is associated with improved educational and patient outcomes. The authors present details of our new supervision policy including triggers for direct supervision. The term direct supervision is relatively new in psychiatry and medical education. There is little published on the extent of implementation of direct supervision and on its impact on the educational experience of psychiatry trainees and other medical specialties. Direct supervision has been associated with improved educational and patient outcomes in nonpsychiatric fields of medicine. More research is needed on the implementation of, indications for, and effects of direct supervision on trainee education and on patient outcomes.

The Need for Data-Informed Clinical Supervision in Substance Use Disorder Treatment

PubMed Central

Ramsey, Alex T.; Baumann, Ana; Silver Wolf, David Patterson; Yan, Yan; Cooper, Ben; Proctor, Enola

2017-01-01

Background Effective clinical supervision is necessary for high-quality care in community-based substance use disorder treatment settings, yet little is known about current supervision practices. Some evidence suggests that supervisors and counselors differ in their experiences of clinical supervision; however, the impact of this misalignment on supervision quality is unclear. Clinical information monitoring systems may support supervision in substance use disorder treatment, but the potential use of these tools must first be explored. Aims First, this study examines the extent to which misaligned supervisor-counselor perceptions impact supervision satisfaction and emphasis on evidence-based treatments. This study also reports on formative work to develop a supervision-based clinical dashboard, an electronic information monitoring system and data visualization tool providing real-time clinical information to engage supervisors and counselors in a coordinated and data-informed manner, help align supervisor-counselor perceptions about supervision, and improve supervision effectiveness. Methods Clinical supervisors and frontline counselors (N=165) from five Midwestern agencies providing substance abuse services completed an online survey using Research Electronic Data Capture (REDCap) software, yielding a 75% response rate. Valid quantitative measures of supervision effectiveness were assessed, along with qualitative perceptions of a supervision-based clinical dashboard. Results Through within-dyad analyses, misalignment between supervisor and counselor perceptions of supervision practices was negatively associated with satisfaction of supervision and reported frequency of discussing several important clinical supervision topics, including evidence-based treatments and client rapport. Participants indicated the most useful clinical dashboard functions and reported important benefits and challenges to using the proposed tool. Discussion Clinical supervision tends to be largely an informal and unstructured process in substance abuse treatment, which may compromise the quality of care. Clinical dashboards may be a well-targeted approach to facilitate data-informed clinical supervision in community-based treatment agencies. PMID:28166480

The need for data-informed clinical supervision in substance use disorder treatment.

PubMed

Ramsey, Alex T; Baumann, Ana; Patterson Silver Wolf, David; Yan, Yan; Cooper, Ben; Proctor, Enola

2017-01-01

Effective clinical supervision is necessary for high-quality care in community-based substance use disorder treatment settings, yet little is known about current supervision practices. Some evidence suggests that supervisors and counselors differ in their experiences of clinical supervision; however, the impact of this misalignment on supervision quality is unclear. Clinical information monitoring systems may support supervision in substance use disorder treatment, but the potential use of these tools must first be explored. First, the current study examines the extent to which misaligned supervisor-counselor perceptions impact supervision satisfaction and emphasis on evidence-based treatments. This study also reports on formative work to develop a supervision-based clinical dashboard, an electronic information monitoring system and data visualization tool providing real-time clinical information to engage supervisors and counselors in a coordinated and data-informed manner, help align supervisor-counselor perceptions about supervision, and improve supervision effectiveness. Clinical supervisors and frontline counselors (N = 165) from five Midwestern agencies providing substance abuse services completed an online survey using Research Electronic Data Capture software, yielding a 75% response rate. Valid quantitative measures of supervision effectiveness were administered, along with qualitative perceptions of a supervision-based clinical dashboard. Through within-dyad analyses, misalignment between supervisor and counselor perceptions of supervision practices was negatively associated with satisfaction of supervision and reported frequency of discussing several important clinical supervision topics, including evidence-based treatments and client rapport. Participants indicated the most useful clinical dashboard functions and reported important benefits and challenges to using the proposed tool. Clinical supervision tends to be largely an informal and unstructured process in substance abuse treatment, which may compromise the quality of care. Clinical dashboards may be a well-targeted approach to facilitate data-informed clinical supervision in community-based treatment agencies.

Robust evaluation of time series classification algorithms for structural health monitoring

NASA Astrophysics Data System (ADS)

Harvey, Dustin Y.; Worden, Keith; Todd, Michael D.

2014-03-01

Structural health monitoring (SHM) systems provide real-time damage and performance information for civil, aerospace, and mechanical infrastructure through analysis of structural response measurements. The supervised learning methodology for data-driven SHM involves computation of low-dimensional, damage-sensitive features from raw measurement data that are then used in conjunction with machine learning algorithms to detect, classify, and quantify damage states. However, these systems often suffer from performance degradation in real-world applications due to varying operational and environmental conditions. Probabilistic approaches to robust SHM system design suffer from incomplete knowledge of all conditions a system will experience over its lifetime. Info-gap decision theory enables nonprobabilistic evaluation of the robustness of competing models and systems in a variety of decision making applications. Previous work employed info-gap models to handle feature uncertainty when selecting various components of a supervised learning system, namely features from a pre-selected family and classifiers. In this work, the info-gap framework is extended to robust feature design and classifier selection for general time series classification through an efficient, interval arithmetic implementation of an info-gap data model. Experimental results are presented for a damage type classification problem on a ball bearing in a rotating machine. The info-gap framework in conjunction with an evolutionary feature design system allows for fully automated design of a time series classifier to meet performance requirements under maximum allowable uncertainty.

Is it possible to strengthen psychiatric nursing staff's clinical supervision? RCT of a meta-supervision intervention.

PubMed

Gonge, Henrik; Buus, Niels

2015-04-01

To test the effects of a meta-supervision intervention in terms of participation, effectiveness and benefits of clinical supervision of psychiatric nursing staff. Clinical supervision is regarded as a central component in developing mental health nursing practices, but the evidence supporting positive outcomes of clinical supervision in psychiatric nursing is not convincing. The study was designed as a randomized controlled trial. All permanently employed nursing staff members at three general psychiatric wards at a Danish university hospital (n = 83) were allocated to either an intervention group (n = 40) receiving the meta-supervision in addition to attending usual supervision or to a control group (n = 43) attending usual supervision. Self-reported questionnaire measures of clinical supervision effectiveness and benefits were collected at base line in January 2012 and at follow-up completed in February 2013. In addition, a prospective registration of clinical supervision participation was carried out over 3 months subsequent to the intervention. The main result was that it was possible to motivate staff in the intervention group to participate significantly more frequently in sessions of the ongoing supervision compared with the control group. However, more frequent participation was not reflected in the experienced effectiveness of the clinical supervision or in the general formative or restorative benefits. The intervention had a positive effect on individuals or wards already actively engaged in clinical supervision, which suggested that individuals and wards without well-established supervision practices may require more comprehensive interventions targeting individual and organizational barriers to clinical supervision. © 2014 John Wiley & Sons Ltd.

Implementation of Helioseismic Data Reduction and Diagnostic Techniques on Massively Parallel Architectures

NASA Technical Reports Server (NTRS)

Korzennik, Sylvain

1997-01-01

Under the direction of Dr. Rhodes, and the technical supervision of Dr. Korzennik, the data assimilation of high spatial resolution solar dopplergrams has been carried out throughout the program on the Intel Delta Touchstone supercomputer. With the help of a research assistant, partially supported by this grant, and under the supervision of Dr. Korzennik, code development was carried out at SAO, using various available resources. To ensure cross-platform portability, PVM was selected as the message passing library. A parallel implementation of power spectra computation for helioseismology data reduction, using PVM was successfully completed. It was successfully ported to SMP architectures (i.e. SUN), and to some MPP architectures (i.e. the CM5). Due to limitation of the implementation of PVM on the Cray T3D, the port to that architecture was not completed at the time.

Sensor feature fusion for detecting buried objects

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

Clark, G.A.; Sengupta, S.K.; Sherwood, R.J.

1993-04-01

Given multiple registered images of the earth`s surface from dual-band sensors, our system fuses information from the sensors to reduce the effects of clutter and improve the ability to detect buried or surface target sites. The sensor suite currently includes two sensors (5 micron and 10 micron wavelengths) and one ground penetrating radar (GPR) of the wide-band pulsed synthetic aperture type. We use a supervised teaming pattern recognition approach to detect metal and plastic land mines buried in soil. The overall process consists of four main parts: Preprocessing, feature extraction, feature selection, and classification. These parts are used in amore » two step process to classify a subimage. Thee first step, referred to as feature selection, determines the features of sub-images which result in the greatest separability among the classes. The second step, image labeling, uses the selected features and the decisions from a pattern classifier to label the regions in the image which are likely to correspond to buried mines. We extract features from the images, and use feature selection algorithms to select only the most important features according to their contribution to correct detections. This allows us to save computational complexity and determine which of the sensors add value to the detection system. The most important features from the various sensors are fused using supervised teaming pattern classifiers (including neural networks). We present results of experiments to detect buried land mines from real data, and evaluate the usefulness of fusing feature information from multiple sensor types, including dual-band infrared and ground penetrating radar. The novelty of the work lies mostly in the combination of the algorithms and their application to the very important and currently unsolved operational problem of detecting buried land mines from an airborne standoff platform.« less

Adequate supervision for children and adolescents.

PubMed

Anderst, James; Moffatt, Mary

2014-11-01

Primary care providers (PCPs) have the opportunity to improve child health and well-being by addressing supervision issues before an injury or exposure has occurred and/or after an injury or exposure has occurred. Appropriate anticipatory guidance on supervision at well-child visits can improve supervision of children, and may prevent future harm. Adequate supervision varies based on the child's development and maturity, and the risks in the child's environment. Consideration should be given to issues as wide ranging as swimming pools, falls, dating violence, and social media. By considering the likelihood of harm and the severity of the potential harm, caregivers may provide adequate supervision by minimizing risks to the child while still allowing the child to take "small" risks as needed for healthy development. Caregivers should initially focus on direct (visual, auditory, and proximity) supervision of the young child. Gradually, supervision needs to be adjusted as the child develops, emphasizing a safe environment and safe social interactions, with graduated independence. PCPs may foster adequate supervision by providing concrete guidance to caregivers. In addition to preventing injury, supervision includes fostering a safe, stable, and nurturing relationship with every child. PCPs should be familiar with age/developmentally based supervision risks, adequate supervision based on those risks, characteristics of neglectful supervision based on age/development, and ways to encourage appropriate supervision throughout childhood. Copyright 2014, SLACK Incorporated.

Enjoyment of Learning and Learning Effort in Primary School: The Significance of Child Individual Characteristics and Stimulation at Home and at Preschool

ERIC Educational Resources Information Center

Richter, David; Lehrl, Simone; Weinert, Sabine

2016-01-01

The present paper was written under the auspices of the interdisciplinary research group "Educational Processes, Competence Development, and Selection Decisions at Preschool and Primary School Age (BiKS)" (FOR 543), funded by the German Research Foundation (DFG). The surveys were conceptualised and supervised as part of the developmental…

21 CFR 349.70 - Labeling of ophthalmic hypertonicity drug products.

Code of Federal Regulations, 2011 CFR

2011-04-01

... “hypertonicity” (select one of the following: “eye” or “ophthalmic”) “(insert dosage form, e.g., drops).” (b... supervision of a doctor. If you experience eye pain, changes in vision, continued redness or irritation of the eye, or if the condition worsens or persists, consult a doctor.” (2) “This product may cause temporary...

21 CFR 349.70 - Labeling of ophthalmic hypertonicity drug products.

Code of Federal Regulations, 2010 CFR

2010-04-01

... “hypertonicity” (select one of the following: “eye” or “ophthalmic”) “(insert dosage form, e.g., drops).” (b... supervision of a doctor. If you experience eye pain, changes in vision, continued redness or irritation of the eye, or if the condition worsens or persists, consult a doctor.” (2) “This product may cause temporary...

Pediatric Oncology Branch - training- medical student rotations | Center for Cancer Research

Cancer.gov

Medical Student Rotations Select 4th-year medical students may be approved for a 4-week elective rotation at the Pediatric Oncology Branch. This rotation emphasizes the important connection between research and patient care in pediatric oncology. The student is supervised directly by the Branch’s attending physician and clinical fellows. Students attend daily in-patient and

Workforce Training in a Recovering Economy: Perceptions of State Community College Leaders

ERIC Educational Resources Information Center

Katsinas, Stephen G.; D'Amico, Mark M.; Friedel, Janice N.

2012-01-01

The purpose of this study was to examine policy issues from the unique viewpoint of state offices that are responsible for the supervision of community colleges and their role in developing the workforce. Using selected survey items from the 2012 Survey of Access and Finance conducted by the Education Policy Center at the University of Alabama, 50…

Use of LANDSAT imagery for wildlife habitat mapping in northeast and eastcentral Alaska. [winter and summer moose range

NASA Technical Reports Server (NTRS)

Lent, P. C. (Principal Investigator)

1976-01-01

The author has identified the following significant results. Winter and summer moose range maps of three selected areas were produced (1:63,360 scale). The analytic approach is very similar to modified clustering. Preliminary results indicate that this method is not only more accurate but considerably less expensive than supervised classification techniques.

An Exploration of Current Practices in Curricular Design of Resident Assistant Training Programs

ERIC Educational Resources Information Center

Koch, Virginia Albaneso

2012-01-01

In the last 15 years there has been little research about the design of resident assistant (RA) training programs in higher education (Bowman & Bowman, 1995, 1998; Wesolowski, Bowman, & Adams, 1996). A RA is an enrolled student who is selected, trained, and supervised to serve as a part-time, paraprofessional employee for a housing and/or…

A National Survey of School Counselor Supervision Practices: Administrative, Clinical, Peer, and Technology Mediated Supervision

ERIC Educational Resources Information Center

Perera-Diltz, Dilani M.; Mason, Kimberly L.

2012-01-01

Supervision is vital for personal and professional development of counselors. Practicing school counselors (n = 1557) across the nation were surveyed to explore current supervision practices. Results indicated that 41.1% of school counselors provide supervision. Although 89% receive some type of supervision, only 10.3% of school counselors receive…

Development strategy research of low-carbon tourist city

NASA Astrophysics Data System (ADS)

Dong, Xiaohong

2017-04-01

Construction of low-carbon tourist city has become a strategic choice for the development of city construction in our country, becoming the direction and goal of future city development in China. In this paper, the development strategy of low-carbon tourist city is put forward from the aspects of building low-carbon tourism culture, strengthening and perfecting the relevant rules and regulations, establishing and perfecting the decision-making management mechanism of low-carbon tourist city construction, establishing accurate, timely, efficient and comprehensive ecological environment monitoring and supervision network, building economical resource utilization system, strengthening science and technology supporting of low-carbon city construction, establishing low-carbon tourism scenic spot, low-carbon community or low-carbon demonstration area, etc.

The effects of clinical supervision on supervisees and patients in cognitive behavioral therapy: a systematic review.

PubMed

Alfonsson, Sven; Parling, Thomas; Spännargård, Åsa; Andersson, Gerhard; Lundgren, Tobias

2018-05-01

Clinical supervision is a central part of psychotherapist training but the empirical support for specific supervision theories or features is unclear. The aims of this study were to systematically review the empirical research literature regarding the effects of clinical supervision on therapists' competences and clinical outcomes within Cognitive Behavior Therapy (CBT). A comprehensive database search resulted in 4103 identified publications. Of these, 133 were scrutinized and in the end 5 studies were included in the review for data synthesis. The five studies were heterogeneous in scope and quality and only one provided firm empirical support for the positive effects of clinical supervision on therapists' competence. The remaining four studies suffered from methodological weaknesses, but provided some preliminary support that clinical supervision may be beneficiary for novice therapists. No study could show benefits from supervision for patients. The research literature suggests that clinical supervision may have some potential effects on novice therapists' competence compared to no supervision but the effects on clinical outcomes are still unclear. While bug-in-the-eye live supervision may be more effective than standard delayed supervision, the effects of specific supervision models or features are also unclear. There is a continued need for high-quality empirical studies on the effects of clinical supervision in psychotherapy.

Supervision of Facilitators in a Multisite Study: Goals, Process, and Outcomes

PubMed Central

2010-01-01

Objective To describe the aims, implementation, and desired outcomes of facilitator supervision for both interventions (treatment and control) in Project Eban and to present the Eban Theoretical Framework for Supervision that guided the facilitators’ supervision. The qualifications and training of supervisors and facilitators are also described. Design This article provides a detailed description of supervision in a multisite behavioral intervention trial. The Eban Theoretical Framework for Supervision is guided by 3 theories: cognitive behavior therapy, the Life-long Model of Supervision, and “Empowering supervisees to empower others: a culturally responsive supervision model.” Methods Supervision is based on the Eban Theoretical Framework for Supervision, which provides guidelines for implementing both interventions using goals, process, and outcomes. Results Because of effective supervision, the interventions were implemented with fidelity to the protocol and were standard across the multiple sites. Conclusions Supervision of facilitators is a crucial aspect of multisite intervention research quality assurance. It provides them with expert advice, optimizes the effectiveness of facilitators, and increases adherence to the protocol across multiple sites. Based on the experience in this trial, some of the challenges that arise when conducting a multisite randomized control trial and how they can be handled by implementing the Eban Theoretical Framework for Supervision are described. PMID:18724192

Recruitment and retention strategies for hospital laboratory personnel in urban and rural settings.

PubMed

Slagle, Derek R

2013-01-01

Laboratory directors and administrators play vital roles in the recruitment and retention processes of their employees. A total of 71 laboratory directors from hospitals across 51 counties in Tennessee responded to questionnaires regarding recruitment and retention strategies. Respondents reported strategies for recruitment and retention, which were agreed to be effective by management. Overall, these major strategies were consistent regardless of geographic location and limited differences were noted with regard to urban-rural locations. The findings that varied significantly between urban and rural locations included: 1) rural employees needed additional supervision; 2) rural hospitals relied on local residents more so than urban hospitals; 3) rural laboratory administrators noted more limited access to resources; and the 4) lower effectiveness of recruitment agencies and family relocation programs for rural hospitals. This is significant given the disparities often associated with rural areas, and the potential to develop more successful recruitment and retention strategies for those areas. Active managers in clinical laboratory science programs in the hospital setting should note effective strategies for both, recruitment and retention of personnel, and note the potential impact of geography on such processes.

Guidelines for clinical supervision in health service psychology.

PubMed

2015-01-01

This document outlines guidelines for supervision of students in health service psychology education and training programs. The goal was to capture optimal performance expectations for psychologists who supervise. It is based on the premises that supervisors (a) strive to achieve competence in the provision of supervision and (b) employ a competency-based, meta-theoretical approach to the supervision process. The Guidelines on Supervision were developed as a resource to inform education and training regarding the implementation of competency-based supervision. The Guidelines on Supervision build on the robust literatures on competency-based education and clinical supervision. They are organized around seven domains: supervisor competence; diversity; relationships; professionalism; assessment/evaluation/feedback; problems of professional competence, and ethical, legal, and regulatory considerations. The Guidelines on Supervision represent the collective effort of a task force convened by the American Psychological Association (APA) Board of Educational Affairs (BEA). PsycINFO Database Record (c) 2015 APA, all rights reserved.

Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

NASA Astrophysics Data System (ADS)

Ghaffarian, S.; Ghaffarian, S.

2014-08-01

This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Further, the training areas for supervised classification are selected by automatically determining a buffer zone on each building whose shadow is detected by using the shadow shape and the sun illumination direction. Thereafter, by calculating the statistic values of each buffer zone which is collected from the building areas the Improved Parallelepiped Supervised Classification is executed to detect the buildings. Standard deviation thresholding applied to the Parallelepiped classification method to improve its accuracy. Finally, simple morphological operations conducted for releasing the noises and increasing the accuracy of the results. The experiments were performed on set of high resolution Google Earth images. The performance of the proposed approach was assessed by comparing the results of the proposed approach with the reference data by using well-known quality measurements (Precision, Recall and F1-score) to evaluate the pixel-based and object-based performances of the proposed approach. Evaluation of the results illustrates that buildings detected from dense and suburban districts with divers characteristics and color combinations using our proposed method have 88.4 % and 853 % overall pixel-based and object-based precision performances, respectively.

'I believe that the staff have reduced their closeness to patients': an exploratory study on the impact of HIV/AIDS on staff in four rural hospitals in Uganda.

PubMed

Dieleman, Marjolein; Bwete, Vincent; Maniple, Everd; Bakker, Mirjam; Namaganda, Grace; Odaga, John; van der Wilt, Gert Jan

2007-12-18

Staff shortages could harm the provision and quality of health care in Uganda, so staff retention and motivation are crucial. Understanding the impact of HIV/AIDS on staff contributes to designing appropriate retention and motivation strategies. This research aimed 'to identify the influence of HIV/AIDS on staff working in general hospitals at district level in rural areas and to explore support required and offered to deal with HIV/AIDS in the workplace'. Its results were to inform strategies to mitigate the impact of HIV/AIDS on hospital staff. A cross-sectional study with qualitative and quantitative components was implemented during two weeks in September 2005. Data were collected in two government and two faith-based private not-for-profit hospitals purposively selected in rural districts in Uganda's Central Region. Researchers interviewed 237 people using a structured questionnaire and held four focus group discussions and 44 in-depth interviews. HIV/AIDS places both physical and, to some extent, emotional demands on health workers. Eighty-six per cent of respondents reported an increased workload, with 48 per cent regularly working overtime, while 83 per cent feared infection at work, and 36 per cent reported suffering an injury in the previous year. HIV-positive staff remained in hiding, and most staff did not want to get tested as they feared stigmatization. Organizational responses were implemented haphazardly and were limited to providing protective materials and the HIV/AIDS-related services offered to patients. Although most staff felt motivated to work, not being motivated was associated with a lack of daily supervision, a lack of awareness on the availability of HIV/AIDS counselling, using antiretrovirals and working overtime. The specific hospital context influenced staff perceptions and experiences. HIV/AIDS is a crucially important contextual factor, impacting on working conditions in various ways. Therefore, organizational responses should be integrated into responses to other problematic working conditions and adapted to the local context. Opportunities already exist, such as better use of supervision, educational sessions and staff meetings. However, exchanges on interventions to improve staff motivation and address HIV/AIDS in the health sector are urgently required, including information on results and details of the context and implementation process.

'I believe that the staff have reduced their closeness to patients': an exploratory study on the impact of HIV/AIDS on staff in four rural hospitals in Uganda

PubMed Central

Dieleman, Marjolein; Bwete, Vincent; Maniple, Everd; Bakker, Mirjam; Namaganda, Grace; Odaga, John; van der Wilt, Gert Jan

2007-01-01

Background Staff shortages could harm the provision and quality of health care in Uganda, so staff retention and motivation are crucial. Understanding the impact of HIV/AIDS on staff contributes to designing appropriate retention and motivation strategies. This research aimed 'to identify the influence of HIV/AIDS on staff working in general hospitals at district level in rural areas and to explore support required and offered to deal with HIV/AIDS in the workplace'. Its results were to inform strategies to mitigate the impact of HIV/AIDS on hospital staff. Methods A cross-sectional study with qualitative and quantitative components was implemented during two weeks in September 2005. Data were collected in two government and two faith-based private not-for-profit hospitals purposively selected in rural districts in Uganda's Central Region. Researchers interviewed 237 people using a structured questionnaire and held four focus group discussions and 44 in-depth interviews. Results HIV/AIDS places both physical and, to some extent, emotional demands on health workers. Eighty-six per cent of respondents reported an increased workload, with 48 per cent regularly working overtime, while 83 per cent feared infection at work, and 36 per cent reported suffering an injury in the previous year. HIV-positive staff remained in hiding, and most staff did not want to get tested as they feared stigmatization. Organizational responses were implemented haphazardly and were limited to providing protective materials and the HIV/AIDS-related services offered to patients. Although most staff felt motivated to work, not being motivated was associated with a lack of daily supervision, a lack of awareness on the availability of HIV/AIDS counselling, using antiretrovirals and working overtime. The specific hospital context influenced staff perceptions and experiences. Conclusion HIV/AIDS is a crucially important contextual factor, impacting on working conditions in various ways. Therefore, organizational responses should be integrated into responses to other problematic working conditions and adapted to the local context. Opportunities already exist, such as better use of supervision, educational sessions and staff meetings. However, exchanges on interventions to improve staff motivation and address HIV/AIDS in the health sector are urgently required, including information on results and details of the context and implementation process. PMID:18088407

Reflections on Developing Collaborative Research in Pediatric Psychology: Implications and Future Directions

PubMed Central

2013-01-01

Objectives Collaborative research with pediatric colleagues has become increasingly important in the professional agenda of pediatric psychology, and there is a continuing need to articulate the challenges of such research. To address this need, this article describes types of collaborative research, reasons for collaboration, collaborative process, challenges, and strategies to facilitate collaborative research. Methods Experiences and lessons learned over the course of a career in collaborative research are described. Results Challenges in collaborative research can be overcome by effective strategies of engagement and communication. Useful methods of training researchers in collaborative research include modeling and supervised mentored experiences in research initiated by trainees. Conclusion Data are needed to identify the characteristics of successful collaborative research, strategies to promote effective research, and methods of training and career development. PMID:23671060

17 CFR 240.17i-3 - Withdrawal from supervision by the Commission as a supervised investment bank holding company.

Code of Federal Regulations, 2010 CFR

2010-04-01

... of withdrawal from supervision as a supervised investment bank holding company shall become effective... investment bank holding company within a shorter or longer period to help ensure effective supervision of the... the Commission as a supervised investment bank holding company. 240.17i-3 Section 240.17i-3 Commodity...

Building an Evidence Base for Effective Supervision Practices: An Analogue Experiment of Supervision to Increase EBT Fidelity.

PubMed

Bearman, Sarah Kate; Schneiderman, Robyn L; Zoloth, Emma

2017-03-01

Treatments that are efficacious in research trials perform less well under routine conditions; differences in supervision may be one contributing factor. This study compared the effect of supervision using active learning techniques (e.g. role play, corrective feedback) versus "supervision as usual" on therapist cognitive restructuring fidelity, overall CBT competence, and CBT expertise. Forty therapist trainees attended a training workshop and were randomized to supervision condition. Outcomes were assessed using behavioral rehearsals pre- and immediately post-training, and after three supervision meetings. EBT knowledge, attitudes, and fidelity improved for all participants post-training, but only the SUP+ group demonstrated improvement following supervision.

The Juggling Act of Supervision in Community Mental Health: Implications for Supporting Evidence-Based Treatment.

PubMed

Dorsey, Shannon; Pullmann, Michael D; Kerns, Suzanne E U; Jungbluth, Nathaniel; Meza, Rosemary; Thompson, Kelly; Berliner, Lucy

2017-11-01

Supervisors are an underutilized resource for supporting evidence-based treatments (EBTs) in community mental health. Little is known about how EBT-trained supervisors use supervision time. Primary aims were to describe supervision (e.g., modality, frequency), examine functions of individual supervision, and examine factors associated with time allocation to supervision functions. Results from 56 supervisors and 207 clinicians from 25 organizations indicate high prevalence of individual supervision, often alongside group and informal supervision. Individual supervision serves a wide range of functions, with substantial variation at the supervisor-level. Implementation climate was the strongest predictor of time allocation to clinical and EBT-relevant functions.

Multi-Modal Curriculum Learning for Semi-Supervised Image Classification.

PubMed

Gong, Chen; Tao, Dacheng; Maybank, Stephen J; Liu, Wei; Kang, Guoliang; Yang, Jie

2016-07-01

Semi-supervised image classification aims to classify a large quantity of unlabeled images by typically harnessing scarce labeled images. Existing semi-supervised methods often suffer from inadequate classification accuracy when encountering difficult yet critical images, such as outliers, because they treat all unlabeled images equally and conduct classifications in an imperfectly ordered sequence. In this paper, we employ the curriculum learning methodology by investigating the difficulty of classifying every unlabeled image. The reliability and the discriminability of these unlabeled images are particularly investigated for evaluating their difficulty. As a result, an optimized image sequence is generated during the iterative propagations, and the unlabeled images are logically classified from simple to difficult. Furthermore, since images are usually characterized by multiple visual feature descriptors, we associate each kind of features with a teacher, and design a multi-modal curriculum learning (MMCL) strategy to integrate the information from different feature modalities. In each propagation, each teacher analyzes the difficulties of the currently unlabeled images from its own modality viewpoint. A consensus is subsequently reached among all the teachers, determining the currently simplest images (i.e., a curriculum), which are to be reliably classified by the multi-modal learner. This well-organized propagation process leveraging multiple teachers and one learner enables our MMCL to outperform five state-of-the-art methods on eight popular image data sets.

Modifying the Primary Care Exception Rule to Require Competency-Based Assessment.

PubMed

Tobin, Daniel G; Doolittle, Benjamin R; Ellman, Matthew S; Ruser, Christopher B; Brienza, Rebecca S; Genao, Inginia

2017-03-01

Teaching residents to practice independently is a core objective of graduate medical education (GME). However, billing rules established by the Centers for Medicare and Medicaid Services (CMS) require that teaching physicians physically be present in the examination room for the care they bill, unless the training program qualifies for the Primary Care Exception Rule (PCER). Teaching physicians in programs that use this exception can bill for indirectly supervised ambulatory care once the resident who provides that care has completed six months of training. However, CMS does not mandate that programs assess or attest to residents' clinical competence before using this rule. By requiring this six-month probationary period, the implication is that residents are adequately prepared for indirectly supervised practice by this time. As residents' skill development varies, this may or may not be true. The PCER makes no attempt to delineate how residents' competence should be assessed, nor does the GME community have a standard for how and when to make this assessment specifically for the purpose of determining residents' readiness for indirectly supervised primary care practice.In this Perspective, the authors review the history and current requirements of the PCER, explore its limitations, and offer suggestions for how to modify the teaching physician billing requirements to mandate the evaluation of residents' competence using the existing milestones framework. They also recommend strategies to standardize this process of evaluation and to develop benchmarks across training programs.

Development of the psychotherapy supervisor: review of and reflections on 30 years of theory and research.

PubMed

Watkins, C Edward

2012-01-01

The psychotherapy supervisor's development (i.e., the unfolding process of growth in being and becoming a supervisor) has long been considered a substantive issue in clinical supervision. Theory and clinical wisdom suggest that supervisors' level of development can have a significant and far-reaching impact on the supervision experience, potentially affecting supervisory alliance formation, in-session conceptualization and strategy utilization, and even the outcomes experienced by both supervisees and patients. Consensus seems to be that there is a critical need for empirical study of psychotherapy supervisor development. But with a generation of theory and research on psychotherapy supervisor development behind us, what do we know (or not know); where does this area of inquiry stand today, and what do we need to know about supervisor development going forward? In this paper, I attempt to address those questions. I examine the last 30-year period (approximately) of supervisor development theory, measurement, and quantitative and qualitative study; provide a contemporary status report of sorts on this subject; and identify some important matters for research and practical consideration. Despite a generation of inquiry, the psychotherapy supervisor still remains the largely unknown party in the supervision experience. But that long-standing reality can be changed, some possibilities for doing so are presented, and the promise of supervisor development study is seen to be an ever-inviting hope that awaits realization.

Fast and robust segmentation of white blood cell images by self-supervised learning.

PubMed

Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo

2018-04-01

A fast and accurate white blood cell (WBC) segmentation remains a challenging task, as different WBCs vary significantly in color and shape due to cell type differences, staining technique variations and the adhesion between the WBC and red blood cells. In this paper, a self-supervised learning approach, consisting of unsupervised initial segmentation and supervised segmentation refinement, is presented. The first module extracts the overall foreground region from the cell image by K-means clustering, and then generates a coarse WBC region by touching-cell splitting based on concavity analysis. The second module further uses the coarse segmentation result of the first module as automatic labels to actively train a support vector machine (SVM) classifier. Then, the trained SVM classifier is further used to classify each pixel of the image and achieve a more accurate segmentation result. To improve its segmentation accuracy, median color features representing the topological structure and a new weak edge enhancement operator (WEEO) handling fuzzy boundary are introduced. To further reduce its time cost, an efficient cluster sampling strategy is also proposed. We tested the proposed approach with two blood cell image datasets obtained under various imaging and staining conditions. The experiment results show that our approach has a superior performance of accuracy and time cost on both datasets. Copyright © 2018 Elsevier Ltd. All rights reserved.

Sustainable vector control and management of Chagas disease in the Gran Chaco, Argentina

PubMed Central

Gürtler, Ricardo E.; Kitron, Uriel; Cecere, M. Carla; Segura, Elsa L.; Cohen, Joel E.

2007-01-01

Chagas disease remains a serious obstacle to health and economic development in Latin America, especially for the rural poor. We report the long-term effects of interventions in rural villages in northern Argentina during 1984–2006. Two community-wide campaigns of residual insecticide spraying immediately and strongly reduced domestic infestation and infection with Trypanosoma cruzi in Triatoma infestans bugs and dogs and more gradually reduced the seroprevalence of children <15 years of age. Because no effective surveillance and control actions followed the first campaign in 1985, transmission resurged in 2–3 years. Renewed interventions in 1992 followed by sustained, supervised, community-based vector control largely suppressed the reestablishment of domestic bug colonies and finally led to the interruption of local human T. cruzi transmission. Human incidence of infection was nearly an order of magnitude higher in peripheral rural areas under pulsed, unsupervised, community-based interventions, where human transmission became apparent in 2000. The sustained, supervised, community-based strategy nearly interrupted domestic transmission to dogs but did not eliminate T. infestans despite the absence of pyrethroid-insecticide resistance. T. infestans persisted in part because of the lack of major changes in housing construction and quality. Sustained community participation grew out of establishing a trusted relationship with the affected communities and the local schools. The process included health promotion and community mobilization, motivation, and supervision in close cooperation with locally nominated leaders. PMID:17913895

Intermittent use of sulphadoxine-pyrimethamine for malaria prevention: a cross-sectional study of knowledge and practices among Ugandan women attending an urban antenatal clinic.

PubMed

Odongo, Charles O; Bisaso, Ronald K; Byamugisha, Josaphat; Obua, Celestino

2014-10-11

The WHO recommends supervised administration of sulphadoxine-pyrimethamine (SP) as intermittent preventive treatment for malaria (IPTp) during pregnancy. Logistical constraints have however favoured unsupervised intake of SP-IPTp, casting doubts whether recent guidelines requiring more frequent intake can be effectively implemented. To propose strategies for enhancing compliance under limited supervision, this study sought to identify pregnant women's knowledge and practices gaps as well as determine predictors of compliance with SP-IPTp, given under limited supervision. A cross-sectional study of 700 women used exit interviews at an urban clinic in Uganda to obtain a descriptive summary of demographic and obstetric characteristics, including knowledge, practice and experiences with SP. Predictors of compliance with SP intake instructions were explored using logistic regression. Median age of respondents was 25 (IQR 22-28) and median parity was two (IQR one to three) while median number of antenatal clinic (ANC) visits was 3.0 (IQR three to four). Most women had completed primary (36%) or ordinary secondary education (25.6%) while 16.1% had not completed primary education. Awareness about SP was high (99.4%) although correct knowledge regarding its use in pregnancy was low (57%), with 15.4% thinking it was used to treat malaria and 26.7% lacking any idea about its use. Correct knowledge on SP use during pregnancy significantly predicted compliance with SP-IPTp instructions (OR 1.98, C.I. 1.12-3.55), while age, education level, parity, number of ANC visits, or history of unwanted effects with SP did not. SP was mostly accessed from hospitals (64.4%) followed by private clinics (16.9%) both for preventive and treatment purposes. SP was considered safe by most women, who were willing to take it again in future, without supervision. Despite high awareness, knowledge of SP as an intervention for malaria prevention in pregnancy was low. Correct knowledge on use of SP predicted compliance with SP-IPTp intake instructions. Focused malaria-related education during ANC visits may improve compliance with SP intake amidst limited supervision.

The Completeness of Intervention Descriptions in Randomised Trials of Supervised Exercise Training in Peripheral Arterial Disease

PubMed Central

Tew, Garry A.; Brabyn, Sally; Cook, Liz; Peckham, Emily

2016-01-01

Research supports the use of supervised exercise training as a primary therapy for improving the functional status of people with peripheral arterial disease (PAD). Several reviews have focused on reporting the outcomes of exercise interventions, but none have critically examined the quality of intervention reporting. Adequate reporting of the exercise protocols used in randomised controlled trials (RCTs) is central to interpreting study findings and translating effective interventions into practice. The purpose of this review was to evaluate the completeness of intervention descriptions in RCTs of supervised exercise training in people with PAD. A systematic search strategy was used to identify relevant trials published until June 2015. Intervention description completeness in the main trial publication was assessed using the Template for Intervention Description and Replication checklist. Missing intervention details were then sought from additional published material and by emailing authors. Fifty-eight trials were included, reporting on 76 interventions. Within publications, none of the interventions were sufficiently described for all of the items required for replication; this increased to 24 (32%) after contacting authors. Although programme duration, and session frequency and duration were well-reported in publications, complete descriptions of the equipment used, intervention provider, and number of participants per session were missing for three quarters or more of interventions (missing for 75%, 93% and 80% of interventions, respectively). Furthermore, 20%, 24% and 26% of interventions were not sufficiently described for the mode of exercise, intensity of exercise, and tailoring/progression, respectively. Information on intervention adherence/fidelity was also frequently missing: attendance rates were adequately described for 29 (38%) interventions, whereas sufficient detail about the intensity of exercise performed was presented for only 8 (11%) interventions. Important intervention details are commonly missing for supervised exercise programmes in the PAD trial literature. This has implications for the interpretation of outcome data, the investigation of dose-response effects, and the replication of protocols in future studies and clinical practice. Researchers should be mindful of intervention reporting guidelines when attempting to publish information about supervised exercise programmes, regardless of the population being studied. PMID:26938879

Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study

PubMed Central

Bronars, Carrie A.; Vickers Douglas, Kristin S.; Ussher, Michael H.; Levine, James A.; Tye, Susannah J.; Hughes, Christine A.; Brockman, Tabetha A.; Decker, Paul A.; DeJesus, Ramona S.; Williams, Mark D.; Olson, Thomas P.; Clark, Matthew M.; Dieterich, Angela M.

2017-01-01

Introduction: Few studies have evaluated exercise interventions for smokers with depression or other psychiatric comorbidities. This pilot study evaluated the potential role of supervised vigorous exercise as a smoking cessation intervention for depressed females. Methods: Thirty adult women with moderate–severe depressive symptoms were enrolled and randomly assigned to 12 weeks of thrice weekly, in person sessions of vigorous intensity supervised exercise at a YMCA setting (EX; n = 15) or health education (HE; n = 15). All participants received behavioral smoking cessation counseling and nicotine patch therapy. Assessments were done in person at baseline, at the end of 12 weeks of treatment, and at 6 months post-target quit date. Primary end points were exercise adherence (proportion of 36 sessions attended) and biochemically confirmed 7-day point prevalence abstinence at Week 12. Biomarkers of inflammation were explored for differences between treatment groups and between women who smoked and those abstinent at Week 12. Results: Treatment adherence was high for both groups (72% for EX and 66% for HE; p = .55). The Week 12 smoking abstinence rate was higher for EX than HE (11/15 [73%] vs. 5/15 [33%]; p = .028), but no significant differences emerged at 6-month follow-up. Interleukin-6 levels increased more for those smoking than women abstinent at Week 12 (p = .040). Conclusions: Vigorous intensity supervised exercise is feasible and enhances short-term smoking cessation among depressed female smokers. Innovative and cost-effective strategies to bolster long-term exercise adherence and smoking cessation need evaluation in this population. Inflammatory biomarkers could be examined in future research as mediators of treatment efficacy. Implications: This preliminary study found that vigorous intensity supervised exercise is feasible and enhances short-term smoking cessation among depressed female smokers. This research addressed an important gap in the field. Despite decades of research examining exercise interventions for smoking cessation, few studies were done among depressed smokers or those with comorbid psychiatric disorders. A novel finding was increases in levels of a pro-inflammatory biomarker observed among women who smoked at the end of the intervention compared to those who did not. PMID:27613946

Factors influencing the perceived quality of clinical supervision of occupational therapists in a large Australian state.

PubMed

Martin, Priya; Kumar, Saravana; Lizarondo, Lucylynn; Tyack, Zephanie

2016-10-01

Clinical supervision is important for effective health service delivery, professional development and practice. Despite its importance there is a lack of evidence regarding the factors that improve its quality. This study aimed to investigate the factors that influence the quality of clinical supervision of occupational therapists employed in a large public sector health service covering mental health, paediatrics, adult physical and other practice areas. A mixed method, sequential explanatory study design was used consisting of two phases. This article reports the quantitative phase (Phase One) which involved administration of the Manchester Clinical Supervision Scale (MCSS-26) to 207 occupational therapists. Frequency of supervision sessions, choice of supervisor and the type of supervision were found to be the predictor variables with a positive and significant influence on the quality of clinical supervision. Factors such as age, length of supervision and the area of practice were found to be the predictor variables with a negative and significant influence on the quality of clinical supervision. Factors that influence the perceived quality of clinical supervision among occupational therapists have been identified. High quality clinical supervision is an important component of clinical governance and has been shown to be beneficial to practitioners, patients and the organisation. Information on factors that make clinical supervision effective identified in this study can be added to existing supervision training and practices to improve the quality of clinical supervision. © 2016 Occupational Therapy Australia.

Supervision Experiences of Professional Counselors Providing Crisis Counseling

ERIC Educational Resources Information Center

Dupre, Madeleine; Echterling, Lennis G.; Meixner, Cara; Anderson, Robin; Kielty, Michele

2014-01-01

In this phenomenological study, the authors explored supervision experiences of 13 licensed professional counselors in situations requiring crisis counseling. Five themes concerning crisis and supervision were identified from individual interviews. Findings support intensive, immediate crisis supervision and postlicensure clinical supervision.

Exercise and multiple sclerosis.

PubMed

White, Lesley J; Dressendorfer, Rudolph H

2004-01-01

The pathophysiology of multiple sclerosis (MS) is characterised by fatigue, motor weakness, spasticity, poor balance, heat sensitivity and mental depression. Also, MS symptoms may lead to physical inactivity associated with the development of secondary diseases. Persons with MS are thus challenged by their disability when attempting to pursue an active lifestyle compatible with health-related fitness. Although exercise prescription is gaining favour as a therapeutic strategy to minimise the loss of functional capacity in chronic diseases, it remains under-utilised as an intervention strategy in the MS population. However, a growing number of studies indicate that exercise in patients with mild-to-moderate MS provides similar fitness and psychological benefits as it does in healthy controls. We reviewed numerous studies describing the responses of selected MS patients to acute and chronic exercise compared with healthy controls. All training studies reported positive outcomes that outweighed potential adverse effects of the exercise intervention. Based on our review, this article highlights the role of exercise prescription in the multidisciplinary approach to MS disease management for improving and maintaining functional capacity. Despite the often unpredictable clinical course of MS, exercise programmes designed to increase cardiorespiratory fitness, muscle strength and mobility provide benefits that enhance lifestyle activity and quality of life while reducing risk of secondary disorders. Recommendations for the evaluation of cardiorespiratory fitness, muscle performance and flexibility are presented as well as basic guidelines for individualised exercise testing and training in MS. Special considerations for exercise, including medical management concerns, programme modifications and supervision, in the MS population are discussed.

A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images

PubMed Central

Tang, Yunwei; Jing, Linhai; Ding, Haifeng

2017-01-01

The segmentation of a high spatial resolution remote sensing image is a critical step in geographic object-based image analysis (GEOBIA). Evaluating the performance of segmentation without ground truth data, i.e., unsupervised evaluation, is important for the comparison of segmentation algorithms and the automatic selection of optimal parameters. This unsupervised strategy currently faces several challenges in practice, such as difficulties in designing effective indicators and limitations of the spectral values in the feature representation. This study proposes a novel unsupervised evaluation method to quantitatively measure the quality of segmentation results to overcome these problems. In this method, multiple spectral and spatial features of images are first extracted simultaneously and then integrated into a feature set to improve the quality of the feature representation of ground objects. The indicators designed for spatial stratified heterogeneity and spatial autocorrelation are included to estimate the properties of the segments in this integrated feature set. These two indicators are then combined into a global assessment metric as the final quality score. The trade-offs of the combined indicators are accounted for using a strategy based on the Mahalanobis distance, which can be exhibited geometrically. The method is tested on two segmentation algorithms and three testing images. The proposed method is compared with two existing unsupervised methods and a supervised method to confirm its capabilities. Through comparison and visual analysis, the results verified the effectiveness of the proposed method and demonstrated the reliability and improvements of this method with respect to other methods. PMID:29064416

Roof Type Selection Based on Patch-Based Classification Using Deep Learning for High Resolution Satellite Imagery

NASA Astrophysics Data System (ADS)

Partovi, T.; Fraundorfer, F.; Azimi, S.; Marmanis, D.; Reinartz, P.

2017-05-01

3D building reconstruction from remote sensing image data from satellites is still an active research topic and very valuable for 3D city modelling. The roof model is the most important component to reconstruct the Level of Details 2 (LoD2) for a building in 3D modelling. While the general solution for roof modelling relies on the detailed cues (such as lines, corners and planes) extracted from a Digital Surface Model (DSM), the correct detection of the roof type and its modelling can fail due to low quality of the DSM generated by dense stereo matching. To reduce dependencies of roof modelling on DSMs, the pansharpened satellite images as a rich resource of information are used in addition. In this paper, two strategies are employed for roof type classification. In the first one, building roof types are classified in a state-of-the-art supervised pre-trained convolutional neural network (CNN) framework. In the second strategy, deep features from deep layers of different pre-trained CNN model are extracted and then an RBF kernel using SVM is employed to classify the building roof type. Based on roof complexity of the scene, a roof library including seven types of roofs is defined. A new semi-automatic method is proposed to generate training and test patches of each roof type in the library. Using the pre-trained CNN model does not only decrease the computation time for training significantly but also increases the classification accuracy.

Collaborative Language Learning in Teletandem: A Resource for Pre-Service Teacher Education (Aprendizaje de lenguas colaborativo en Teletándem: un recurso para la educación de profesores en formación inicial)

ERIC Educational Resources Information Center

Salomão, Ana Cristina Biondo

2011-01-01

This article presents some of the results of a qualitative research project about the influences of the pedagogic strategies used by a mediator (graduate student in applied linguistics) in the supervision process of a Teletandem partner (undergraduate student in languages) on her pedagogical practice. It was done within the project…

Local Sparse Bump Hunting

PubMed Central

Dazard, Jean-Eudes; Rao, J. Sunil

2010-01-01

The search for structures in real datasets e.g. in the form of bumps, components, classes or clusters is important as these often reveal underlying phenomena leading to scientific discoveries. One of these tasks, known as bump hunting, is to locate domains of a multidimensional input space where the target function assumes local maxima without pre-specifying their total number. A number of related methods already exist, yet are challenged in the context of high dimensional data. We introduce a novel supervised and multivariate bump hunting strategy for exploring modes or classes of a target function of many continuous variables. This addresses the issues of correlation, interpretability, and high-dimensionality (p ≫ n case), while making minimal assumptions. The method is based upon a divide and conquer strategy, combining a tree-based method, a dimension reduction technique, and the Patient Rule Induction Method (PRIM). Important to this task, we show how to estimate the PRIM meta-parameters. Using accuracy evaluation procedures such as cross-validation and ROC analysis, we show empirically how the method outperforms a naive PRIM as well as competitive non-parametric supervised and unsupervised methods in the problem of class discovery. The method has practical application especially in the case of noisy high-throughput data. It is applied to a class discovery problem in a colon cancer micro-array dataset aimed at identifying tumor subtypes in the metastatic stage. Supplemental Materials are available online. PMID:22399839

28 CFR 810.1 - Supervision contact requirements.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If you...

28 CFR 810.1 - Supervision contact requirements.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If you...

28 CFR 810.1 - Supervision contact requirements.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If you...

28 CFR 810.1 - Supervision contact requirements.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If you...

28 CFR 810.1 - Supervision contact requirements.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If you...

20 CFR 656.21 - Supervised recruitment.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Supervised recruitment. 656.21 Section 656.21... Supervised recruitment. (a) Supervised recruitment. Where the Certifying Officer determines it appropriate, post-filing supervised recruitment may be required of the employer for the pending application or...

Spatial Mutual Information Based Hyperspectral Band Selection for Classification

PubMed Central

2015-01-01

The amount of information involved in hyperspectral imaging is large. Hyperspectral band selection is a popular method for reducing dimensionality. Several information based measures such as mutual information have been proposed to reduce information redundancy among spectral bands. Unfortunately, mutual information does not take into account the spatial dependency between adjacent pixels in images thus reducing its robustness as a similarity measure. In this paper, we propose a new band selection method based on spatial mutual information. As validation criteria, a supervised classification method using support vector machine (SVM) is used. Experimental results of the classification of hyperspectral datasets show that the proposed method can achieve more accurate results. PMID:25918742

Update in medical education for pediatrics: insights and directions from the 2010 literature.

PubMed

Fromme, Helen Barrett; Whicker, Shari A; Mahan, John D; Turner, Teri Lee

2012-01-01

While most would agree that utilizing the literature to enhance individual educational practice and/or institutional success is the ideal method for improving medical education, methods to focus attention on the most relevant and valuable information have been heretofore lacking in the pediatric medical education literature. We performed a review of the medical education literature for the year 2010. Utilizing a similar strategy employed by others in Internal Medicine, we selected 12 high-yield education journals and manually reviewed the table of contents to select titles that would have grassroots applicability for medical educators. A broad search through PubMed was then completed using search terms adopted from prior studies, and titles from this search were similarly selected. The abstracts of selected titles (n=147) were each reviewed by two of the authors, then all authors reached consensus on articles for full review (n=34). The articles were then discussed and scored to achieve consensus for the 11 articles for inclusion in this paper. Several themes emerged from reviewing these publications. We did not select topics or sections of interest a priori. The themes, grouped into four areas: supervision and leadership, hand-off communication, core competencies: teaching and assessment, and educational potpourri, reflect our community's current concerns, challenges, and engagement in addressing these topics. Each article is summarized below and begins with a brief statement of what the study adds to the practice of pediatric medical education. This review highlights multiple 'articles of value' for all medical educators. We believe the value of these articles and the information they contain for improving the methods used to educate medical students, residents, and fellows are significant. The organically derived thematic areas of the representative articles offer a view of the landscape of medical education research in pediatrics in 2010. Readers can use these individual articles as both tools to improve their practice, as well as inspiration for future areas of research.

Update in medical education for pediatrics: insights and directions from the 2010 literature

PubMed Central

Fromme, Helen Barrett; Whicker, Shari A.; Mahan, John D.; Turner, Teri Lee

2012-01-01

Background While most would agree that utilizing the literature to enhance individual educational practice and/or institutional success is the ideal method for improving medical education, methods to focus attention on the most relevant and valuable information have been heretofore lacking in the pediatric medical education literature. Methods We performed a review of the medical education literature for the year 2010. Utilizing a similar strategy employed by others in Internal Medicine, we selected 12 high-yield education journals and manually reviewed the table of contents to select titles that would have grassroots applicability for medical educators. A broad search through PubMed was then completed using search terms adopted from prior studies, and titles from this search were similarly selected. The abstracts of selected titles (n=147) were each reviewed by two of the authors, then all authors reached consensus on articles for full review (n=34). The articles were then discussed and scored to achieve consensus for the 11 articles for inclusion in this paper. Results Several themes emerged from reviewing these publications. We did not select topics or sections of interest a priori. The themes, grouped into four areas: supervision and leadership, hand-off communication, core competencies: teaching and assessment, and educational potpourri, reflect our community's current concerns, challenges, and engagement in addressing these topics. Each article is summarized below and begins with a brief statement of what the study adds to the practice of pediatric medical education. Discussion This review highlights multiple ‘articles of value’ for all medical educators. We believe the value of these articles and the information they contain for improving the methods used to educate medical students, residents, and fellows are significant. The organically derived thematic areas of the representative articles offer a view of the landscape of medical education research in pediatrics in 2010. Readers can use these individual articles as both tools to improve their practice, as well as inspiration for future areas of research. PMID:22670086

Developing a Peer Mentorship Program to Increase Competence in Clinical Supervision in Clinical Psychology Doctoral Training Programs.

PubMed

Foxwell, Aleksandra A; Kennard, Beth D; Rodgers, Cynthia; Wolfe, Kristin L; Cassedy, Hannah F; Thomas, Anna

2017-12-01

Supervision has recently been recognized as a core competency for clinical psychologists. This recognition of supervision as a distinct competency has evolved in the context of an overall focus on competency-based education and training in health service psychology, and has recently gained momentum. Few clinical psychology doctoral programs offer formal training experiences in providing supervision. A pilot peer mentorship program (PMP) where graduate students were trained in the knowledge and practice of supervision was developed. The focus of the PMP was to develop basic supervision skills in advanced clinical psychology graduate students, as well as to train junior doctoral students in fundamental clinical and practical skills. Advanced doctoral students were matched to junior doctoral students to gain experience in and increase knowledge base in best practices of supervision skills. The 9-month program consisted of monthly mentorship meetings and three training sessions. The results suggested that mentors reported a 30% or more shift from the category of not competent to needs improvement or competent, in the following supervision competencies: theories of supervision, improved skill in supervision modalities, acquired knowledge in supervision, and supervision experience. Furthermore, 50% of the mentors reported that they were not competent in supervision experience at baseline and only 10% reported that they were not competent at the end of the program. Satisfaction data suggested that satisfaction with the program was high, with 75% of participants indicating increased knowledge base in supervision, and 90% indicating that it was a positive addition to their training program. This program was feasible and acceptable and appears to have had a positive impact on the graduate students who participated. Students reported both high satisfaction with the program as well as an increase in knowledge base and experience in supervision skills.

Active learning based segmentation of Crohns disease from abdominal MRI.

PubMed

Mahapatra, Dwarikanath; Vos, Franciscus M; Buhmann, Joachim M

2016-05-01

This paper proposes a novel active learning (AL) framework, and combines it with semi supervised learning (SSL) for segmenting Crohns disease (CD) tissues from abdominal magnetic resonance (MR) images. Robust fully supervised learning (FSL) based classifiers require lots of labeled data of different disease severities. Obtaining such data is time consuming and requires considerable expertise. SSL methods use a few labeled samples, and leverage the information from many unlabeled samples to train an accurate classifier. AL queries labels of most informative samples and maximizes gain from the labeling effort. Our primary contribution is in designing a query strategy that combines novel context information with classification uncertainty and feature similarity. Combining SSL and AL gives a robust segmentation method that: (1) optimally uses few labeled samples and many unlabeled samples; and (2) requires lower training time. Experimental results show our method achieves higher segmentation accuracy than FSL methods with fewer samples and reduced training effort. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

A Motivational Interviewing Course for Pharmacy Students

PubMed Central

Hawes, Starlyn M.; Duval, Elizabeth R.; Spresser, Carrie D.; Martínez, David A.; Lynam, Ian; Barnes, Amy; Hinton-Dampf, Amber M.; Murphy, Meghan E.; Marken, Patricia A.; Catley, Delwyn

2010-01-01

Objective To create, implement, and evaluate a pharmacy course on motivational interviewing. Design A 3-hour elective course was created to train doctor of pharmacy (PharmD) students in brief patient-centered motivational interviewing counseling strategies that have proven effective with the types of health issues most commonly addressed in pharmacy settings. Students were assisted in developing their skills through required readings, interactive lectures, in-class demonstrations and practice sessions, out of class skills practice, one-on-one supervision provided by doctoral level clinical health psychology students, and written reflections on each class session. Assessment Students demonstrated significant improvement in motivational interviewing skills and a high level of motivation for and confidence in using these skills in their future practice. Students overall assessment of the course and supervision process was highly positive. Conclusion This patient-centered counseling skills course was feasible and produced improvements in PharmD students' counseling skills and increased their motivation and confidence to use motivational interviewing skills in their future communications with patients. PMID:20585431

Event recognition in personal photo collections via multiple instance learning-based classification of multiple images

NASA Astrophysics Data System (ADS)

Ahmad, Kashif; Conci, Nicola; Boato, Giulia; De Natale, Francesco G. B.

2017-11-01

Over the last few years, a rapid growth has been witnessed in the number of digital photos produced per year. This rapid process poses challenges in the organization and management of multimedia collections, and one viable solution consists of arranging the media on the basis of the underlying events. However, album-level annotation and the presence of irrelevant pictures in photo collections make event-based organization of personal photo albums a more challenging task. To tackle these challenges, in contrast to conventional approaches relying on supervised learning, we propose a pipeline for event recognition in personal photo collections relying on a multiple instance-learning (MIL) strategy. MIL is a modified form of supervised learning and fits well for such applications with weakly labeled data. The experimental evaluation of the proposed approach is carried out on two large-scale datasets including a self-collected and a benchmark dataset. On both, our approach significantly outperforms the existing state-of-the-art.

FROM2D to 3d Supervised Segmentation and Classification for Cultural Heritage Applications

NASA Astrophysics Data System (ADS)

Grilli, E.; Dininno, D.; Petrucci, G.; Remondino, F.

2018-05-01

The digital management of architectural heritage information is still a complex problem, as a heritage object requires an integrated representation of various types of information in order to develop appropriate restoration or conservation strategies. Currently, there is extensive research focused on automatic procedures of segmentation and classification of 3D point clouds or meshes, which can accelerate the study of a monument and integrate it with heterogeneous information and attributes, useful to characterize and describe the surveyed object. The aim of this study is to propose an optimal, repeatable and reliable procedure to manage various types of 3D surveying data and associate them with heterogeneous information and attributes to characterize and describe the surveyed object. In particular, this paper presents an approach for classifying 3D heritage models, starting from the segmentation of their textures based on supervised machine learning methods. Experimental results run on three different case studies demonstrate that the proposed approach is effective and with many further potentials.

Application of satellite data and LARS's data processing techniques to mapping vegetation of the Dismal Swamp. M.S. Thesis - Old Dominion Univ.

NASA Technical Reports Server (NTRS)

Messmore, J. A.

1976-01-01

The feasibility of using digital satellite imagery and automatic data processing techniques as a means of mapping swamp forest vegetation was considered, using multispectral scanner data acquired by the LANDSAT-1 satellite. The site for this investigation was the Dismal Swamp, a 210,000 acre swamp forest located south of Suffolk, Va. on the Virginia-North Carolina border. Two basic classification strategies were employed. The initial classification utilized unsupervised techniques which produced a map of the swamp indicating the distribution of thirteen forest spectral classes. These classes were later combined into three informational categories: Atlantic white cedar (Chamaecyparis thyoides), Loblolly pine (Pinus taeda), and deciduous forest. The subsequent classification employed supervised techniques which mapped Atlantic white cedar, Loblolly pine, deciduous forest, water and agriculture within the study site. A classification accuracy of 82.5% was produced by unsupervised techniques compared with 89% accuracy using supervised techniques.

28 CFR 2.94 - Supervision reports to Commission.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 28 Judicial Administration 1 2011-07-01 2011-07-01 false Supervision reports to Commission. 2.94 Section 2.94 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.94 Supervision reports to Commission. An initial supervision report to confirm the...

28 CFR 2.207 - Supervision reports to Commission.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 28 Judicial Administration 1 2011-07-01 2011-07-01 false Supervision reports to Commission. 2.207 Section 2.207 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT....207 Supervision reports to Commission. A regular supervision report shall be submitted to the...

28 CFR 2.94 - Supervision reports to Commission.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 28 Judicial Administration 1 2013-07-01 2013-07-01 false Supervision reports to Commission. 2.94 Section 2.94 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.94 Supervision reports to Commission. An initial supervision report to confirm the...

28 CFR 2.94 - Supervision reports to Commission.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision reports to Commission. 2.94 Section 2.94 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.94 Supervision reports to Commission. An initial supervision report to confirm the...

28 CFR 2.207 - Supervision reports to Commission.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 28 Judicial Administration 1 2013-07-01 2013-07-01 false Supervision reports to Commission. 2.207 Section 2.207 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT....207 Supervision reports to Commission. A regular supervision report shall be submitted to the...