A Saliency Guided Semi-Supervised Building Change Detection Method for High Resolution Remote Sensing Images

PubMed Central

Hou, Bin; Wang, Yunhong; Liu, Qingjie

2016-01-01

Characterizations of up to date information of the Earth’s surface are an important application providing insights to urban planning, resources monitoring and environmental studies. A large number of change detection (CD) methods have been developed to solve them by utilizing remote sensing (RS) images. The advent of high resolution (HR) remote sensing images further provides challenges to traditional CD methods and opportunities to object-based CD methods. While several kinds of geospatial objects are recognized, this manuscript mainly focuses on buildings. Specifically, we propose a novel automatic approach combining pixel-based strategies with object-based ones for detecting building changes with HR remote sensing images. A multiresolution contextual morphological transformation called extended morphological attribute profiles (EMAPs) allows the extraction of geometrical features related to the structures within the scene at different scales. Pixel-based post-classification is executed on EMAPs using hierarchical fuzzy clustering. Subsequently, the hierarchical fuzzy frequency vector histograms are formed based on the image-objects acquired by simple linear iterative clustering (SLIC) segmentation. Then, saliency and morphological building index (MBI) extracted on difference images are used to generate a pseudo training set. Ultimately, object-based semi-supervised classification is implemented on this training set by applying random forest (RF). Most of the important changes are detected by the proposed method in our experiments. This study was checked for effectiveness using visual evaluation and numerical evaluation. PMID:27618903

A Saliency Guided Semi-Supervised Building Change Detection Method for High Resolution Remote Sensing Images.

PubMed

Hou, Bin; Wang, Yunhong; Liu, Qingjie

2016-08-27

Characterizations of up to date information of the Earth's surface are an important application providing insights to urban planning, resources monitoring and environmental studies. A large number of change detection (CD) methods have been developed to solve them by utilizing remote sensing (RS) images. The advent of high resolution (HR) remote sensing images further provides challenges to traditional CD methods and opportunities to object-based CD methods. While several kinds of geospatial objects are recognized, this manuscript mainly focuses on buildings. Specifically, we propose a novel automatic approach combining pixel-based strategies with object-based ones for detecting building changes with HR remote sensing images. A multiresolution contextual morphological transformation called extended morphological attribute profiles (EMAPs) allows the extraction of geometrical features related to the structures within the scene at different scales. Pixel-based post-classification is executed on EMAPs using hierarchical fuzzy clustering. Subsequently, the hierarchical fuzzy frequency vector histograms are formed based on the image-objects acquired by simple linear iterative clustering (SLIC) segmentation. Then, saliency and morphological building index (MBI) extracted on difference images are used to generate a pseudo training set. Ultimately, object-based semi-supervised classification is implemented on this training set by applying random forest (RF). Most of the important changes are detected by the proposed method in our experiments. This study was checked for effectiveness using visual evaluation and numerical evaluation.

Work-integrated learning (WIL) supervisors and non-supervisors of allied health professional students.

PubMed

Smedts, Anna M; Campbell, Narelle; Sweet, Linda

2013-01-01

This study sought to characterise the allied health professional (AHP) workforce of the Northern Territory (NT), Australia, in order to understand the influence of student supervision on workload, job satisfaction, and recruitment and retention. The national Rural Allied Health Workforce Study survey was adapted for the NT context and distributed through local AHP networks. Valid responses (n=179) representing 16 professions were collated and categorised into 'supervisor' and 'non-supervisor' groups for further analysis. The NT AHP workforce is predominantly female, non-Indigenous, raised in an urban environment, trained outside the NT, now concentrated in the capital city, and principally engaged in individual patient care. Allied health professionals cited income and type of work or clientele as the most frequent factors for attraction to their current positions. While 62% provided student supervision, only half reported having training in mentoring or supervision. Supervising students accounted for an estimated 9% of workload. Almost 20% of existing supervisors and 33% of non-supervising survey respondents expressed an interest in greater supervisory responsibilities. Despite indicating high satisfaction with their current positions, 67% of respondents reported an intention to leave their jobs in less than 5 years. Student supervision was not linked to perceived job satisfaction; however, this study found that professionals who were engaged in student supervision were significantly more likely to report intention to stay in their current jobs (>5 years; p<0.05). The findings are important for supporting ongoing work-integrated learning opportunities for students in a remote context, and highlight the need for efforts to be focused on the training and retention of AHPs as student supervisors.

A supervised learning rule for classification of spatiotemporal spike patterns.

PubMed

Lilin Guo; Zhenzhong Wang; Adjouadi, Malek

2016-08-01

This study introduces a novel supervised algorithm for spiking neurons that take into consideration synapse delays and axonal delays associated with weights. It can be utilized for both classification and association and uses several biologically influenced properties, such as axonal and synaptic delays. This algorithm also takes into consideration spike-timing-dependent plasticity as in Remote Supervised Method (ReSuMe). This paper focuses on the classification aspect alone. Spiked neurons trained according to this proposed learning rule are capable of classifying different categories by the associated sequences of precisely timed spikes. Simulation results have shown that the proposed learning method greatly improves classification accuracy when compared to the Spike Pattern Association Neuron (SPAN) and the Tempotron learning rule.

[The Internet:an alternative to face-to-face training for teachers in remote locations?].

PubMed

Gagnon, Suzanne; Minguet, Cassian

2008-08-01

For some family medicine supervisors working in rural and remote areas, access to face-to-face training is problematic. They need distance training programs designed specifically for them. To study the advantages, disadvantages, and feasibility of a training program for these supervisors that is delivered over the Internet. This was a pilot project for international on-line training consisting of a platform of courses and a collaborative type of Web conferencing that ran for 2 hours each week for 5 weeks. The training focused on the acquisition of teaching skills and the use of information and communications technology, and included discussions on topics related to practising and teaching in rural areas. Such a program is feasible and economical. The main difficulties are recruiting participants, keeping them in the program, and the amount of time spent on development and supervision. Participants who persevered reported high levels of satisfaction. The content of this type of training, barriers to participation, and the role of distance education in rural supervisor training programs remain to be explored.

Supervision of Pre-Service Teacher: Using Internet Collaborative Tools to Support Their Return to Their Region of Origin

ERIC Educational Resources Information Center

Hamel, Christine

2012-01-01

As part of the bachelor's degree in Secondary Education at Laval University, students have the option of completing a final practicum in their region of origin. The structure of this final practicum requires new configurations in order to meet not only the requirements of practical training in teaching, but also the needs of remote communities who…

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

PubMed

Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Maguire, Liam P

2015-12-01

Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, the exact learning mechanism in which the neuron is trained to fire at precise times remains an open problem. The majority of the existing learning methods for SNNs are based on weight adjustment. However, there is also biological evidence that the synaptic delay is not constant. In this paper, a learning method for spiking neurons, called delay learning remote supervised method (DL-ReSuMe), is proposed to merge the delay shift approach and ReSuMe-based weight adjustment to enhance the learning performance. DL-ReSuMe uses more biologically plausible properties, such as delay learning, and needs less weight adjustment than ReSuMe. Simulation results have shown that the proposed DL-ReSuMe approach achieves learning accuracy and learning speed improvements compared with ReSuMe.

Using Skype to support remote clinical supervision for health professionals delivering a sustained maternal early childhood programme: a phenomenographical study.

PubMed

Bruce, Tracey; Byrne, Fiona; Kemp, Lynn

2018-02-01

Skype technology was implemented by the Australian Maternal Early Childhood Sustained Home-visiting (MECSH) Support Service as a tool for the remote provision of clinical supervision for clinicians working in the MECSH program in Seoul, South Korea. To gain a better understanding of the processes underpinning sustainable delivery of remote clinical supervision using digital technologies. A phenomenographical study. Recorded notes and reflections on each supervision session, noting exemplars and characteristics of the experience were read and re-read to derive the characterizations of the experience. The experience has provided learnings in three domains: (1) the processes in using Skype; (2) supervisory processes; and (3) language translation, including managing clarity of, and time for translation. Skype has potential for use in remote provision of clinical supervision, including where translation is required. Further research evaluating the benefit of telesupervision from supervisor and supervisee perspectives is necessary to determine if it is a sustainable process.

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.

Effects of Supervision in the Training of Nonprofessional Crisis-Intervention Counselors

ERIC Educational Resources Information Center

Doyle, William W., Jr.; And Others

1977-01-01

This study evaluated three major models currently used by crisis-intervention centers to train and supervise nonprofessional counselors. Training groups included preservice training only (PSO), preservice training and delayed supervision (PSD), and preservice training and immediate supervision (PSI). Findings indicate most learning by…

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.

Computerised training improves cognitive performance in chronic pain: a participant-blinded randomised active-controlled trial with remote supervision.

PubMed

Baker, Katharine S; Georgiou-Karistianis, Nellie; Lampit, Amit; Valenzuela, Michael; Gibson, Stephen J; Giummarra, Melita J

2018-04-01

Chronic pain is associated with reduced efficiency of cognitive performance, and few studies have investigated methods of remediation. We trialled a computerised cognitive training protocol to determine whether it could attenuate cognitive difficulties in a chronic pain sample. Thirty-nine adults with chronic pain (mean age = 43.3, 61.5% females) were randomised to an 8-week online course (3 sessions/week from home) of game-like cognitive training exercises, or an active control involving watching documentary videos. Participants received weekly supervision by video call. Primary outcomes were a global neurocognitive composite (tests of attention, speed, and executive function) and self-reported cognition. Secondary outcomes were pain (intensity; interference), mood symptoms (depression; anxiety), and coping with pain (catastrophising; self-efficacy). Thirty participants (15 training and 15 control) completed the trial. Mixed model intention-to-treat analyses revealed significant effects of training on the global neurocognitive composite (net effect size [ES] = 0.43, P = 0.017), driven by improved executive function performance (attention switching and working memory). The control group reported improvement in pain intensity (net ES = 0.65, P = 0.022). Both groups reported subjective improvements in cognition (ES = 0.28, P = 0.033) and catastrophising (ES = 0.55, P = 0.006). Depression, anxiety, self-efficacy, and pain interference showed no change in either group. This study provides preliminary evidence that supervised cognitive training may be a viable method for enhancing cognitive skills in persons with chronic pain, but transfer to functional and clinical outcomes remains to be demonstrated. Active control results suggest that activities perceived as relaxing or enjoyable contribute to improved perception of well-being. Weekly contact was pivotal to successful program completion.

Psychotherapy and Cognitive Behavioral Therapy Supervision in Danish Psychiatry: Training the Next Generation of Psychiatrists.

PubMed

Schmidt, Lasse M; Foli-Andersen, Nina J

2017-02-01

Psychotherapy training is mandatory for physicians to qualify as psychiatrists in Denmark. Evidence for the effectiveness of psychotherapy has increased, and psychotherapy is increasingly included in international treatment guidelines. The authors investigated how psychiatrists in training in Denmark evaluate the opportunities to practice psychotherapy in their training and the quality of the supervision they receive in psychotherapy training, particularly for cognitive behavioral therapy (CBT). The authors conducted a survey regarding psychotherapy training and CBT supervision among psychiatrists in training at Danish psychiatric specialist training courses. They investigated respondents' interest and experience in psychotherapy and respondents' views on the relevance and feasibility of performing psychotherapy and receiving supervision in their psychiatry training. Eighty-eight percent of the psychiatrists in training found psychotherapy to be a relevant part of their training; however, 77 % found it difficult to find time to practice psychotherapy and 44 % felt that practicing psychotherapy was a strain on their employer. Thirty-six percent and 53 %, respectively, had difficulties securing psychodynamic and CBT supervision. In CBT supervision, more than 60 % reported supervision that appeared to be below the expected CBT supervision standard and often so much below it might not qualify as CBT supervision. There is a need to focus on how to better integrate psychotherapy and supervision in the Danish psychiatric training program. Good CBT supervision may be lacking, and a way to ensure high-quality supervision is required.

Effective Sequential Classifier Training for SVM-Based Multitemporal Remote Sensing Image Classification

NASA Astrophysics Data System (ADS)

Guo, Yiqing; Jia, Xiuping; Paull, David

2018-06-01

The explosive availability of remote sensing images has challenged supervised classification algorithms such as Support Vector Machines (SVM), as training samples tend to be highly limited due to the expensive and laborious task of ground truthing. The temporal correlation and spectral similarity between multitemporal images have opened up an opportunity to alleviate this problem. In this study, a SVM-based Sequential Classifier Training (SCT-SVM) approach is proposed for multitemporal remote sensing image classification. The approach leverages the classifiers of previous images to reduce the required number of training samples for the classifier training of an incoming image. For each incoming image, a rough classifier is firstly predicted based on the temporal trend of a set of previous classifiers. The predicted classifier is then fine-tuned into a more accurate position with current training samples. This approach can be applied progressively to sequential image data, with only a small number of training samples being required from each image. Experiments were conducted with Sentinel-2A multitemporal data over an agricultural area in Australia. Results showed that the proposed SCT-SVM achieved better classification accuracies compared with two state-of-the-art model transfer algorithms. When training data are insufficient, the overall classification accuracy of the incoming image was improved from 76.18% to 94.02% with the proposed SCT-SVM, compared with those obtained without the assistance from previous images. These results demonstrate that the leverage of a priori information from previous images can provide advantageous assistance for later images in multitemporal image classification.

Exercise training for intermittent claudication.

PubMed

McDermott, Mary M

2017-11-01

The objective of this study was to provide an overview of evidence regarding exercise therapies for patients with lower extremity peripheral artery disease (PAD). This manuscript summarizes the content of a lecture delivered as part of the 2016 Crawford Critical Issues Symposium. Multiple randomized clinical trials demonstrate that supervised treadmill exercise significantly improves treadmill walking performance in people with PAD and intermittent claudication symptoms. A meta-analysis of 25 randomized trials demonstrated a 180-meter increase in treadmill walking distance in response to supervised exercise interventions compared with a nonexercising control group. Supervised treadmill exercise has been inaccessible to many patients with PAD because of lack of medical insurance coverage. However, in 2017, the Centers for Medicare and Medicaid Services issued a decision memorandum to support health insurance coverage of 12 weeks of supervised treadmill exercise for patients with walking impairment due to PAD. Recent evidence also supports home-based walking exercise to improve walking performance in people with PAD. Effective home-exercise programs incorporate behavioral change interventions such as a remote coach, goal setting, and self-monitoring. Supervised treadmill exercise programs preferentially improve treadmill walking performance, whereas home-based walking exercise programs preferentially improve corridor walking, such as the 6-minute walk test. Clinical trial evidence also supports arm or leg ergometry exercise to improve walking endurance in people with PAD. Treadmill walking exercise appears superior to resistance training alone for improving walking endurance. Supervised treadmill exercise significantly improves treadmill walking performance in people with PAD by approximately 180 meters compared with no exercise. Recent evidence suggests that home-based exercise is also effective and preferentially improves over-ground walking performance, such as the 6-minute walk test. Copyright © 2017 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

A Pilot Study Examining Factors Influencing Readiness to Progress to Indirect Supervision Among First Year Residents in a General Psychiatry Training Program.

PubMed

Touchet, Bryan; Walker, Ashley; Flanders, Sarah; McIntosh, Heather

2018-04-01

In the first year of training, psychiatry residents progress from direct supervision to indirect supervision but factors predicting time to transition between these levels of supervision are unknown. This study aimed to examine times for transition to indirect levels of supervision and to identify resident factors associated with slower progression. The authors compiled data from training files from years 2011-2015, including licensing exam scores, age, gender, medical school, month of first inpatient psychiatry rotation, and transition times between levels of supervision. Correlational analysis examined the relationship between these factors. Univariate analysis further examined the relationship between medical school training and transition times between supervision levels. Among the factors studied, only international medical school training was positively correlated with time to transition to indirect supervision and between levels of indirect supervision. International medical graduate (IMG) interns in psychiatry training may benefit from additional training and support to reach competencies required for the transition to indirect supervision.

The Real-Time Monitoring Service Platform for Land Supervision Based on Cloud Integration

NASA Astrophysics Data System (ADS)

Sun, J.; Mao, M.; Xiang, H.; Wang, G.; Liang, Y.

2018-04-01

Remote sensing monitoring has become the important means for land and resources departments to strengthen supervision. Aiming at the problems of low monitoring frequency and poor data currency in current remote sensing monitoring, this paper researched and developed the cloud-integrated real-time monitoring service platform for land supervision which enhanced the monitoring frequency by acquiring the domestic satellite image data overall and accelerated the remote sensing image data processing efficiency by exploiting the intelligent dynamic processing technology of multi-source images. Through the pilot application in Jinan Bureau of State Land Supervision, it has been proved that the real-time monitoring technical method for land supervision is feasible. In addition, the functions of real-time monitoring and early warning are carried out on illegal land use, permanent basic farmland protection and boundary breakthrough in urban development. The application has achieved remarkable results.

The impact of supervision training on genetic counselor supervisory identity development.

PubMed

Atzinger, Carrie L; Lewis, Kimberly; Martin, Lisa J; Yager, Geoffrey; Ramstetter, Catherine; Wusik, Katie

2014-12-01

Supervision is critical to the training of genetic counselors. Limited research exists on the influence of supervision training and experience on the development of genetic counseling supervisors. The purpose of this study was to investigate the impact of supervision training in addition to supervisory and clinical experience on supervisory identity development, and the perceived confidence and competence supervisors have in their own supervisory skills. In addition, we explored genetic counselors' (N = 291) interest in and barriers to training as well as perspectives on requirements for supervisors. Results indicated clinical experience, supervision experience, and formal supervision training are positively associated with genetic counselors' supervisory identity development as measured by the Psychotherapy Supervisory Development Scale (PSDS) (p < 0.05). Despite a moderate correlation between supervision experience and formal training (ρ = 0.42, p < 0.001), both had independent effects on PSDS scores (p < 0.04). A majority of genetic counselors were interested in receiving supervision training but noted lack of available training as a barrier. The majority of participants indicated that supervisors should be certified as genetic counselors, but there was no consensus on training requirements. Development of additional supervision training opportunities for genetic counselors should be considered.

The supervisor as gender analyst: feminist perspectives on group supervision and training.

PubMed

Schoenholtz-Read, J

1996-10-01

Supervision and training groups have advantages over dyadic supervision and training that include factors to promote group learning and interaction within a sociocultural context. This article focuses on the gender aspects of group supervision and training. It provides a review of feminist theoretical developments and presents their application to group supervision and training in the form of eight guidelines that are illustrated by clinical examples.

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.

Telepresent intubation supervision is as effective as in-person supervision of procedurally naive operators.

PubMed

Prescher, Hannes; Grover, Emily; Mosier, Jarrod; Stolz, Uwe; Biffar, David E; Hamilton, Allan J; Sakles, John C

2015-03-01

Telepresence is emerging in clinical and educational settings as a potential modality to provide expert guidance during remote airway management. This study aimed to compare the effectiveness of telepresent versus in-person supervision of tracheal intubation. A randomized, crossover study was performed in a university medical simulation center with 48 first- and second-year medical students with no formal procedural training in tracheal intubation. Each participant was assigned to receive each of four study arms in random sequence: (1) direct laryngoscopy (DL) with in-person supervision, (2) DL with telepresent supervision, (3) videolaryngoscopy (VL) with in-person supervision, and (4) VL with telepresent supervision. Telepresence was established with a smartphone (Apple [Cupertino, CA] iPhone(®)) via FaceTime(®) connection. The primary outcome measure was the time to successful intubation. Secondary outcome measures included first pass success rate and the number of blade and tube attempts. There was no significant difference between in-person and telepresent supervision for any of the outcomes. The median difference (in-person versus telepresent) for time to intubation was -3 s (95% confidence interval [CI], -20 to 14 s). The odds ratio for first attempt success was 0.7 (95% CI, 0.3-1.3), and the rate ratio for extra number of blade attempts (i.e., attempts in addition to first) was 1.1 (95% CI, 0.7-1.7) and 1.4 (95% CI, 0.9-2.2) for extra number of tube attempts. In this study population of procedurally naive medical students, telepresent supervision was as effective as in-person supervision for tracheal intubation.

KSC-08pd1179

NASA Image and Video Library

2008-05-07

CAPE CANAVERAL, Fla. -- STS-124 Mission Specialist Greg Chamitoff drives the M113 armored personnel carrier as part of emergency training. Behind him Commander Mark Kelly. At center is Battalion Chief George Hoggard providing supervision. Chamitoff and other crew members are at NASA's Kennedy Space Center for a dress launch rehearsal called the terminal countdown demonstration test. TCDT provides astronauts and ground crews with an opportunity to participate in various simulated countdown activities, including equipment familiarization and emergency training. On the STS-124 mission, the crew will deliver and install the Japanese Experiment Module – Pressurized Module and Japanese Remote Manipulator System. Discovery's launch is targeted for May 31. Photo credit: NASA/Kim Shiflett

Building a sustainable workforce in a rural and remote health service: A comprehensive and innovative Rural Generalist training approach.

PubMed

Orda, Ulrich; Orda, Sabine; Sen Gupta, Tarun; Knight, Sabina

2017-04-01

Historically it has been challenging to recruit and retain an appropriately trained medical workforce to care for rural and remote Australians. This paper describes the Queensland North West Hospital and Health Service (NWHHS) workforce redesign, developing education strategies and pathways to practice, thereby improving service provision, recruitment and retention of staff. The Mount Isa-based Medical Education Unit sought accreditation for a Rural Generalist (RG) training pathway from Internship to Fellowship with the Australian College of Rural and Remote Medicine (ACRRM) and the Regional Training Provider (RTP). This approach enhanced the James Cook University (JCU) undergraduate pathway for rurally committed students while improving recruitment and retention of RMOs/Registrars. Accreditation was achieved through collaboration with training providers, accreditation agencies, ACRRM and a local general practice. The whole pathway from ignore Internship to Fellowship is offered with the RG Intern intake as a primary allocation site beginning in 2016. Comprehensive supervision and excellent clinical exposure provide an interesting and rewarding experience - for staff at all levels. Since 2013 RMO locum rates have been <1%. Registrars on the ACRRM pathway and Interns increased from 0 to 7 positions each in 2015, with similar achievements in SMO staffing. Three RMOs expressed interest in a Registrar position, CONCLUSIONS: Appropriate governance is needed to develop and advertise the program. This includes the NWHHS, the RG Pathway and JCU. © 2016 National Rural Health Alliance Inc.

34 CFR 648.61 - How must the academic department supervise the training of fellows?

Code of Federal Regulations, 2013 CFR

2013-07-01

... 34 Education 3 2013-07-01 2013-07-01 false How must the academic department supervise the training... academic department supervise the training of fellows? The institution shall provide to fellows at least one academic year of supervised training in instruction at the graduate or undergraduate level at the...

34 CFR 648.61 - How must the academic department supervise the training of fellows?

Code of Federal Regulations, 2011 CFR

2011-07-01

... 34 Education 3 2011-07-01 2011-07-01 false How must the academic department supervise the training... academic department supervise the training of fellows? The institution shall provide to fellows at least one academic year of supervised training in instruction at the graduate or undergraduate level at the...

34 CFR 648.61 - How must the academic department supervise the training of fellows?

Code of Federal Regulations, 2010 CFR

2010-07-01

... 34 Education 3 2010-07-01 2010-07-01 false How must the academic department supervise the training... academic department supervise the training of fellows? The institution shall provide to fellows at least one academic year of supervised training in instruction at the graduate or undergraduate level at the...

34 CFR 648.61 - How must the academic department supervise the training of fellows?

Code of Federal Regulations, 2012 CFR

2012-07-01

... 34 Education 3 2012-07-01 2012-07-01 false How must the academic department supervise the training... academic department supervise the training of fellows? The institution shall provide to fellows at least one academic year of supervised training in instruction at the graduate or undergraduate level at the...

34 CFR 648.61 - How must the academic department supervise the training of fellows?

Code of Federal Regulations, 2014 CFR

2014-07-01

... 34 Education 3 2014-07-01 2014-07-01 false How must the academic department supervise the training... academic department supervise the training of fellows? The institution shall provide to fellows at least one academic year of supervised training in instruction at the graduate or undergraduate level at the...

Distributed data collection and supervision based on web sensor

NASA Astrophysics Data System (ADS)

He, Pengju; Dai, Guanzhong; Fu, Lei; Li, Xiangjun

2006-11-01

As a node in Internet/Intranet, web sensor has been promoted in recent years and wildly applied in remote manufactory, workshop measurement and control field. However, the conventional scheme can only support HTTP protocol, and the remote users supervise and control the collected data published by web in the standard browser because of the limited resource of the microprocessor in the sensor; moreover, only one node of data acquirement can be supervised and controlled in one instant therefore the requirement of centralized remote supervision, control and data process can not be satisfied in some fields. In this paper, the centralized remote supervision, control and data process by the web sensor are proposed and implemented by the principle of device driver program. The useless information of the every collected web page embedded in the sensor is filtered and the useful data is transmitted to the real-time database in the workstation, and different filter algorithms are designed for different sensors possessing independent web pages. Every sensor node has its own filter program of web, called "web data collection driver program", the collecting details are shielded, and the supervision, control and configuration software can be implemented by the call of web data collection driver program just like the use of the I/O driver program. The proposed technology can be applied in the data acquirement where relative low real-time is required.

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.

A Telehealth Intervention Using Nintendo Wii Fit Balance Boards and iPads to Improve Walking in Older Adults With Lower Limb Amputation (Wii.n.Walk): Study Protocol for a Randomized Controlled Trial.

PubMed

Imam, Bita; Miller, William C; Finlayson, Heather C; Eng, Janice J; Payne, Michael Wc; Jarus, Tal; Goldsmith, Charles H; Mitchell, Ian M

2014-12-22

The number of older adults living with lower limb amputation (LLA) who require rehabilitation for improving their walking capacity and mobility is growing. Existing rehabilitation practices frequently fail to meet this demand. Nintendo Wii Fit may be a valuable tool to enable rehabilitation interventions. Based on pilot studies, we have developed "Wii.n.Walk", an in-home telehealth Wii Fit intervention targeted to improve walking capacity in older adults with LLA. The objective of this study is to determine whether the Wii.n.Walk intervention enhances walking capacity compared to an attention control group. This project is a multi-site (Vancouver BC, London ON), parallel, evaluator-blind randomized controlled trial. Participants include community-dwelling older adults over the age of 50 years with unilateral transtibial or transfemoral amputation. Participants will be stratified by site and block randomized in triplets to either the Wii.n.Walk intervention or an attention control group employing the Wii Big Brain cognitive software. This trial will include both supervised and unsupervised phases. During the supervised phase, both groups will receive 40-minute sessions of supervised group training three times per week for a duration of 4 weeks. Participants will complete the first week of the intervention in groups of three at their local rehabilitation center with a trainer. The remaining 3 weeks will take place at participants' homes using remote supervision by the trainer using Apple iPad technology. At the end of 4 weeks, the supervised period will end and the unsupervised period will begin. Participants will retain the Wii console and be encouraged to continue using the program for an additional 4 weeks' duration. The primary outcome measure will be the "Two-Minute Walk Test" to measure walking capacity. Outcome measures will be evaluated for all participants at baseline, after the end of both the supervised and unsupervised phases, and after 1-year follow up. Study staff have been hired and trained at both sites and recruitment is currently underway. No participants have been enrolled yet. Wii.n.Walk is a promising in-home telehealth intervention that may have useful applications for older adults with LLA who are discharged from rehabilitation or live in remote areas having limited or no access to existing rehabilitation programs. Clinicaltrial.gov NCT01942798; http://clinicaltrials.gov/ct2/show/NCT01942798 (Archived by WebCite at http://www.webcitation.org/6V0w8baKP).

New Technology, Changing Pedagogies? Exploring the Concept of Remote Teaching Placement Supervision

ERIC Educational Resources Information Center

Chilton, Helen; McCracken, Wendy

2017-01-01

Mobile technologies continue to have a growing influence on contemporary society, are becoming more commonplace within tertiary educational settings and hold the potential to impact on the learning process. This project evaluation considers the perspectives of participants who trialled the use of new technology to enable remote supervision and…

Remote Video Supervision in Adapted Physical Education

ERIC Educational Resources Information Center

Kelly, Luke; Bishop, Jason

2013-01-01

Supervision for beginning adapted physical education (APE) teachers and inservice general physical education teachers who are learning to work with students with disabilities poses a number of challenges. The purpose of this article is to describe a project aimed at developing a remote video system that could be used by a university supervisor to…

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).

Use of Live Supervision in Counselor Preparation.

ERIC Educational Resources Information Center

Bubenzer, Donald L.; And Others

1991-01-01

Investigated live supervision in counselor preparation programs by surveying 307 counselor preparation programs. Live supervision was used at 157 institutions and was used in preparing individual, group, and marriage and family counselors. At least 75 percent of programs provided live supervision weekly. Techniques of cotherapy and remote viewing…

Remote Supervision and Control of Air Conditioning Systems in Different Modes

NASA Astrophysics Data System (ADS)

Rafeeq, Mohammed; Afzal, Asif; Rajendra, Sree

2018-01-01

In the era of automation, most of the application of engineering and science are interrelated with system for optimal operation. To get the efficient result of an operation and desired response, interconnected systems should be controlled by directing, regulating and commanding. Here, air conditioning (AC) system is considered for experimentation, to supervise and control its functioning in both, automated and manual mode. This paper reports the work intended to design and develop an automated and manual AC system working in remote and local mode, to increase the level of comfort, easy operation, reducing human intervention and faults occurring in the system. The Programmable Logical Controller (PLC) and Supervisory Control and Data Acquisition (SCADA) system were used for remote supervision and monitoring of AC systems using series ninety protocol and remote terminal unit modbus protocol as communication module to operate in remote mode. PLC was used as remote terminal for continuous supervision and control of AC system. SCADA software was used as a tool for designing user friendly graphical user interface. The proposed SCADA AC system successfully monitors and controls in accordance within the parameter limits like temperature, pressure, humidity and voltage. With all the features, this designed system is capable of efficient handling of the resources like the compressor, humidifier etc., with all the levels of safety and durability. This system also maintains the temperature and controls the humidity of the remote location and also looks after the health of the compressor.

Design of the multicenter standardized supervised exercise training intervention for the claudication: exercise vs endoluminal revascularization (CLEVER) study.

PubMed

Bronas, Ulf G; Hirsch, Alan T; Murphy, Timothy; Badenhop, Dalynn; Collins, Tracie C; Ehrman, Jonathan K; Ershow, Abby G; Lewis, Beth; Treat-Jacobson, Diane J; Walsh, M Eileen; Oldenburg, Niki; Regensteiner, Judith G

2009-11-01

The CLaudication: Exercise Vs Endoluminal Revascularization (CLEVER) study is the first randomized, controlled, clinical, multicenter trial that is evaluating a supervised exercise program compared with revascularization procedures to treat claudication. In this report, the methods and dissemination techniques of the supervised exercise training intervention are described. A total of 217 participants are being recruited and randomized to one of three arms: (1) optimal medical care; (2) aortoiliac revascularization with stent; or (3) supervised exercise training. Of the enrolled patients, 84 will receive supervised exercise therapy. Supervised exercise will be administered according to a protocol designed by a central CLEVER exercise training committee based on validated methods previously used in single center randomized control trials. The protocol will be implemented at each site by an exercise committee member using training methods developed and standardized by the exercise training committee. The exercise training committee reviews progress and compliance with the protocol of each participant weekly. In conclusion, a multicenter approach to disseminate the supervised exercise training technique and to evaluate its efficacy, safety and cost-effectiveness for patients with claudication due to peripheral arterial disease (PAD) is being evaluated for the first time in CLEVER. The CLEVER study will further establish the role of supervised exercise training in the treatment of claudication resulting from PAD and provide standardized methods for use of supervised exercise training in future PAD clinical trials as well as in clinical practice.

Do deep convolutional neural networks really need to be deep when applied for remote scene classification?

NASA Astrophysics Data System (ADS)

Luo, Chang; Wang, Jie; Feng, Gang; Xu, Suhui; Wang, Shiqiang

2017-10-01

Deep convolutional neural networks (CNNs) have been widely used to obtain high-level representation in various computer vision tasks. However, for remote scene classification, there are not sufficient images to train a very deep CNN from scratch. From two viewpoints of generalization power, we propose two promising kinds of deep CNNs for remote scenes and try to find whether deep CNNs need to be deep for remote scene classification. First, we transfer successful pretrained deep CNNs to remote scenes based on the theory that depth of CNNs brings the generalization power by learning available hypothesis for finite data samples. Second, according to the opposite viewpoint that generalization power of deep CNNs comes from massive memorization and shallow CNNs with enough neural nodes have perfect finite sample expressivity, we design a lightweight deep CNN (LDCNN) for remote scene classification. With five well-known pretrained deep CNNs, experimental results on two independent remote-sensing datasets demonstrate that transferred deep CNNs can achieve state-of-the-art results in an unsupervised setting. However, because of its shallow architecture, LDCNN cannot obtain satisfactory performance, regardless of whether in an unsupervised, semisupervised, or supervised setting. CNNs really need depth to obtain general features for remote scenes. This paper also provides baseline for applying deep CNNs to other remote sensing tasks.

KSC-08pd1175

NASA Image and Video Library

2008-05-07

CAPE CANAVERAL, Fla. -- STS-124 Mission Specialist Akihiko Hoshide drives the M113 armored personnel carrier as part of emergency training. Battalion Chief George Hoggard provides supervision. Behind them are Mission Specialist Ron Garan and Pilot Ken Ham. Hoshide and other crew members are at NASA's Kennedy Space Center for a dress launch rehearsal called the terminal countdown demonstration test. TCDT provides astronauts and ground crews with an opportunity to participate in various simulated countdown activities, including equipment familiarization and emergency training. On the STS-124 mission, the crew will deliver and install the Japanese Experiment Module – Pressurized Module and Japanese Remote Manipulator System. Discovery's launch is targeted for May 31. Photo credit: NASA/Kim Shiflett

KSC-08pd1181

NASA Image and Video Library

2008-05-07

CAPE CANAVERAL, Fla. -- STS-124 Mission Specialist Mike Fossum drives the M113 armored personnel carrier as part of emergency training. Behind him at left is Mission Specialist Greg Chamitoff. At center is Battalion Chief George Hoggard providing supervision. Fossum and other crew members are at NASA's Kennedy Space Center for a dress launch rehearsal called the terminal countdown demonstration test. TCDT provides astronauts and ground crews with an opportunity to participate in various simulated countdown activities, including equipment familiarization and emergency training. On the STS-124 mission, the crew will deliver and install the Japanese Experiment Module – Pressurized Module and Japanese Remote Manipulator System. Discovery's launch is targeted for May 31. Photo credit: NASA/Kim Shiflett

Targets Mask U-Net for Wind Turbines Detection in Remote Sensing Images

NASA Astrophysics Data System (ADS)

Han, M.; Wang, H.; Wang, G.; Liu, Y.

2018-04-01

To detect wind turbines precisely and quickly in very high resolution remote sensing images (VHRRSI) we propose target mask U-Net. This convolution neural network (CNN), which is carefully designed to be a wide-field detector, models the pixel class assignment to wind turbines and their context information. The shadow, which is the context information of the target in this study, has been regarded as part of a wind turbine instance. We have trained the target mask U-Net on training dataset, which is composed of down sampled image blocks and instance mask blocks. Some post-processes have been integrated to eliminate wrong spots and produce bounding boxes of wind turbine instances. The evaluation metrics prove the reliability and effectiveness of our method for the average F1-score of our detection method is up to 0.97. The comparison of detection accuracy and time consuming with the weakly supervised targets detection method based on CNN illustrates the superiority of our method.

Lidar Cloud Detection with Fully Convolutional Networks

NASA Astrophysics Data System (ADS)

Cromwell, E.; Flynn, D.

2017-12-01

The vertical distribution of clouds from active remote sensing instrumentation is a widely used data product from global atmospheric measuring sites. The presence of clouds can be expressed as a binary cloud mask and is a primary input for climate modeling efforts and cloud formation studies. Current cloud detection algorithms producing these masks do not accurately identify the cloud boundaries and tend to oversample or over-represent the cloud. This translates as uncertainty for assessing the radiative impact of clouds and tracking changes in cloud climatologies. The Atmospheric Radiation Measurement (ARM) program has over 20 years of micro-pulse lidar (MPL) and High Spectral Resolution Lidar (HSRL) instrument data and companion automated cloud mask product at the mid-latitude Southern Great Plains (SGP) and the polar North Slope of Alaska (NSA) atmospheric observatory. Using this data, we train a fully convolutional network (FCN) with semi-supervised learning to segment lidar imagery into geometric time-height cloud locations for the SGP site and MPL instrument. We then use transfer learning to train a FCN for (1) the MPL instrument at the NSA site and (2) for the HSRL. In our semi-supervised approach, we pre-train the classification layers of the FCN with weakly labeled lidar data. Then, we facilitate end-to-end unsupervised pre-training and transition to fully supervised learning with ground truth labeled data. Our goal is to improve the cloud mask accuracy and precision for the MPL instrument to 95% and 80%, respectively, compared to the current cloud mask algorithms of 89% and 50%. For the transfer learning based FCN for the HSRL instrument, our goal is to achieve a cloud mask accuracy of 90% and a precision of 80%.

Helping Hands: Using Augmented Reality to Provide Remote Guidance to Health Professionals.

PubMed

Mather, Carey; Barnett, Tony; Broucek, Vlasti; Saunders, Annette; Grattidge, Darren; Huang, Weidong

2017-01-01

Access to expert practitioners or geographic distance can compound the capacity for appropriate supervision of health professionals in the workplace. Guidance and support of clinicians and students to undertake new or infrequent procedures can be resource intensive. The Helping Hands remote augmented reality system is an innovation to support the development of, and oversee the acquisition of procedural skills through remote learning and teaching supervision while in clinical practice. Helping Hands is a wearable, portable, hands-free, low cost system comprised of two networked laptops, a head-mounted display worn by the recipient and a display screen used remotely by the instructor. Hand hygiene was used as the test procedure as it is a foundation skill learned by all health profession students. The technology supports unmediated remote gesture guidance by augmenting the object with the Helping Hands of a health professional. A laboratory-based study and field trial tested usability and feasibility of the remote guidance system. The study found the Helping Hands system did not compromise learning outcomes. This innovation has the potential to transform remote learning and teaching supervision by enabling health professionals and students opportunities to develop and improve their procedural performance at the workplace.

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.

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.

Change classification in SAR time series: a functional approach

NASA Astrophysics Data System (ADS)

Boldt, Markus; Thiele, Antje; Schulz, Karsten; Hinz, Stefan

2017-10-01

Change detection represents a broad field of research in SAR remote sensing, consisting of many different approaches. Besides the simple recognition of change areas, the analysis of type, category or class of the change areas is at least as important for creating a comprehensive result. Conventional strategies for change classification are based on supervised or unsupervised landuse / landcover classifications. The main drawback of such approaches is that the quality of the classification result directly depends on the selection of training and reference data. Additionally, supervised processing methods require an experienced operator who capably selects the training samples. This training step is not necessary when using unsupervised strategies, but nevertheless meaningful reference data must be available for identifying the resulting classes. Consequently, an experienced operator is indispensable. In this study, an innovative concept for the classification of changes in SAR time series data is proposed. Regarding the drawbacks of traditional strategies given above, it copes without using any training data. Moreover, the method can be applied by an operator, who does not have detailed knowledge about the available scenery yet. This knowledge is provided by the algorithm. The final step of the procedure, which main aspect is given by the iterative optimization of an initial class scheme with respect to the categorized change objects, is represented by the classification of these objects to the finally resulting classes. This assignment step is subject of this paper.

Clinical Supervision Strategies for School Counselors Working with Twice-Exceptional Students

ERIC Educational Resources Information Center

Goldsmith, SaDohl K.

2012-01-01

Clinical supervision is a way for counselors in training to develop needed skills (Bernard & Goodyear, 1998). Best practices indicate that counselors trained in the application of supervision theory should provide clinical supervision. However, many school counselors receive administrative supervision by non-counseling professionals who may…

From new vistas to life lines: psychologists' satisfaction with supervision and confidence in supervising.

PubMed

McMahon, Aisling; Errity, Darina

2014-01-01

This study aimed to provide the first detailed survey of Irish psychologists' supervision practices as well as to identify what is related to satisfaction with supervisory support and to confidence in providing supervision. An online survey was distributed nationwide to Irish psychologists. Participants were mostly clinical and counselling psychologists. Three-quarters of the participants constituted 51% of the total population of Irish health service psychologists, the remainder working in various non-health service settings. The results showed that most Irish psychologists attend supervision but at a low frequency, typically once monthly. One-third were dissatisfied with their supervision, greater satisfaction being related to having more frequent clinical supervision and having external individual clinical supervision. Having a safe and trustworthy relationship with supervisors was a dominant issue, and two-thirds of psychologists wanted separation of their clinical and line management supervision. Although 70% were supervisors, only 40% were confident in their supervisory skills and just 16% had formal supervisor training. Independent predictors of supervisory confidence were experience as a psychologist, having formal supervisor training, experience as a supervisor and confidence as a therapist. A novel finding was that longer experience of personal therapy was related to greater confidence as a supervisor. This study indicates the need for access to more frequent clinical supervision to be facilitated for psychologists and for there to be clear separation of line management and clinical supervision. It is also essential that more resources are put into training supervisors. While most psychologists are engaged in supervision, frequency of attendance is low, with more satisfied psychologists having more frequent supervision. Most psychologists want separation of their clinical and line management supervision and have a preference for external supervision, safe and trustworthy relationships with supervisors being their primary concern. Only 16% of psychologists had formal training in supervision but having such training significantly contributed to greater confidence as a supervisor, indicating an urgent need to provide more supervisor training for psychologists. Copyright © 2013 John Wiley & Sons, Ltd.

Graph-Based Semi-Supervised Hyperspectral Image Classification Using Spatial Information

NASA Astrophysics Data System (ADS)

Jamshidpour, N.; Homayouni, S.; Safari, A.

2017-09-01

Hyperspectral image classification has been one of the most popular research areas in the remote sensing community in the past decades. However, there are still some problems that need specific attentions. For example, the lack of enough labeled samples and the high dimensionality problem are two most important issues which degrade the performance of supervised classification dramatically. The main idea of semi-supervised learning is to overcome these issues by the contribution of unlabeled samples, which are available in an enormous amount. In this paper, we propose a graph-based semi-supervised classification method, which uses both spectral and spatial information for hyperspectral image classification. More specifically, two graphs were designed and constructed in order to exploit the relationship among pixels in spectral and spatial spaces respectively. Then, the Laplacians of both graphs were merged to form a weighted joint graph. The experiments were carried out on two different benchmark hyperspectral data sets. The proposed method performed significantly better than the well-known supervised classification methods, such as SVM. The assessments consisted of both accuracy and homogeneity analyses of the produced classification maps. The proposed spectral-spatial SSL method considerably increased the classification accuracy when the labeled training data set is too scarce.When there were only five labeled samples for each class, the performance improved 5.92% and 10.76% compared to spatial graph-based SSL, for AVIRIS Indian Pine and Pavia University data sets respectively.

Effects of Supervised vs. Unsupervised Training Programs on Balance and Muscle Strength in Older Adults: A Systematic Review and Meta-Analysis.

PubMed

Lacroix, André; Hortobágyi, Tibor; Beurskens, Rainer; Granacher, Urs

2017-11-01

Balance and resistance training can improve healthy older adults' balance and muscle strength. Delivering such exercise programs at home without supervision may facilitate participation for older adults because they do not have to leave their homes. To date, no systematic literature analysis has been conducted to determine if supervision affects the effectiveness of these programs to improve healthy older adults' balance and muscle strength/power. The objective of this systematic review and meta-analysis was to quantify the effectiveness of supervised vs. unsupervised balance and/or resistance training programs on measures of balance and muscle strength/power in healthy older adults. In addition, the impact of supervision on training-induced adaptive processes was evaluated in the form of dose-response relationships by analyzing randomized controlled trials that compared supervised with unsupervised trials. A computerized systematic literature search was performed in the electronic databases PubMed, Web of Science, and SportDiscus to detect articles examining the role of supervision in balance and/or resistance training in older adults. The initially identified 6041 articles were systematically screened. Studies were included if they examined balance and/or resistance training in adults aged ≥65 years with no relevant diseases and registered at least one behavioral balance (e.g., time during single leg stance) and/or muscle strength/power outcome (e.g., time for 5-Times-Chair-Rise-Test). Finally, 11 studies were eligible for inclusion in this meta-analysis. Weighted mean standardized mean differences between subjects (SMD bs ) of supervised vs. unsupervised balance/resistance training studies were calculated. The included studies were coded for the following variables: number of participants, sex, age, number and type of interventions, type of balance/strength tests, and change (%) from pre- to post-intervention values. Additionally, we coded training according to the following modalities: period, frequency, volume, modalities of supervision (i.e., number of supervised/unsupervised sessions within the supervised or unsupervised training groups, respectively). Heterogeneity was computed using I 2 and χ 2 statistics. The methodological quality of the included studies was evaluated using the Physiotherapy Evidence Database scale. Our analyses revealed that in older adults, supervised balance/resistance training was superior compared with unsupervised balance/resistance training in improving measures of static steady-state balance (mean SMD bs  = 0.28, p = 0.39), dynamic steady-state balance (mean SMD bs  = 0.35, p = 0.02), proactive balance (mean SMD bs  = 0.24, p = 0.05), balance test batteries (mean SMD bs  = 0.53, p = 0.02), and measures of muscle strength/power (mean SMD bs  = 0.51, p = 0.04). Regarding the examined dose-response relationships, our analyses showed that a number of 10-29 additional supervised sessions in the supervised training groups compared with the unsupervised training groups resulted in the largest effects for static steady-state balance (mean SMD bs  = 0.35), dynamic steady-state balance (mean SMD bs  = 0.37), and muscle strength/power (mean SMD bs  = 1.12). Further, ≥30 additional supervised sessions in the supervised training groups were needed to produce the largest effects on proactive balance (mean SMD bs  = 0.30) and balance test batteries (mean SMD bs  = 0.77). Effects in favor of supervised programs were larger for studies that did not include any supervised sessions in their unsupervised programs (mean SMD bs : 0.28-1.24) compared with studies that implemented a few supervised sessions in their unsupervised programs (e.g., three supervised sessions throughout the entire intervention program; SMD bs : -0.06 to 0.41). The present findings have to be interpreted with caution because of the low number of eligible studies and the moderate methodological quality of the included studies, which is indicated by a median Physiotherapy Evidence Database scale score of 5. Furthermore, we indirectly compared dose-response relationships across studies and not from single controlled studies. Our analyses suggest that supervised balance and/or resistance training improved measures of balance and muscle strength/power to a greater extent than unsupervised programs in older adults. Owing to the small number of available studies, we were unable to establish a clear dose-response relationship with regard to the impact of supervision. However, the positive effects of supervised training are particularly prominent when compared with completely unsupervised training programs. It is therefore recommended to include supervised sessions (i.e., two out of three sessions/week) in balance/resistance training programs to effectively improve balance and muscle strength/power in older adults.

Clinical Supervision of Athletic Training Students at Colleges and Universities Needs Improvement

PubMed Central

Weidner, Thomas G.; Pipkin, Jennifer

2002-01-01

Objectives: To assess the type and amount of clinical supervision athletic training students received during clinical education. Design and Setting: An online survey was conducted with a questionnaire developed specifically for this study. Subjects: Head athletic trainers from National Collegiate Athletic Association Division I (28), Division II (34), and Division III institutions (30). Thirty-four represented Commission on the Accreditation of Allied Health Education Programs-accredited athletic training education programs, 20 represented athletic training programs in Joint Review Commission on Athletic Training candidacy, and 35 offered the internship route. Measurements: Descriptive statistics were computed. Three sets of chi-square analyses were completed to assess associations among athletic training students with first-responder qualifications, program and institution characteristics, certified athletic trainer medical coverage of moderate- and increased-risk sports, and clinical supervision. A trend analysis of students' class standing and time spent in different types of clinical supervision was also completed. The alpha level was set at < .05. Results: Most of the athletic training students (83.7%), particularly in accredited programs, had first-responder qualifications. More than half of the head athletic trainers (59.8%) indicated that athletic training students were authorized to provide medical care coverage without supervision. A minimal amount of medical care coverage of moderate- and increased-risk sports was unsupervised. No significant difference between the size of the education or athletic program and type and amount of clinical supervision was noted. Freshman athletic training students spent more time in direct clinical supervision and less time in unsupervised experience, but the opposite was true for senior students. Conclusions: Athletic training students are being utilized beyond appropriate clinical supervision and the scope of clinical education. Future research should employ methods using nonparticipant observation of clinical instructors' supervision of students as well as students' own perceptions of their clinical supervision. PMID:12937552

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

KSC-08pd1173

NASA Image and Video Library

2008-05-07

CAPE CANAVERAL, Fla. -- Under the supervision of Battalion Chief George Hoggard, STS-124 Mission Specialist Karen Nyberg takes her turn (right) driving the armored personnel carrier, part of emergency training. At left are Mission Specialists Ron Garan and Akihiko Hoshide, who represents the Japan Aerospace Exploration Agency. They and other crew members are at NASA's Kennedy Space Center for a dress launch rehearsal called the terminal countdown demonstration test. TCDT provides astronauts and ground crews with an opportunity to participate in various simulated countdown activities, including equipment familiarization and emergency training. On the STS-124 mission, the crew will deliver and install the Japanese Experiment Module – Pressurized Module and Japanese Remote Manipulator System. Discovery's launch is targeted for May 31. Photo credit: NASA/Kim Shiflett

KSC-08pd1177

NASA Image and Video Library

2008-05-07

CAPE CANAVERAL, Fla. -- With Launch Pad 39B in the background, STS-124 Pilot Ken Ham drives the M113 armored personnel carrier as part of emergency training. Behind him at right is Mission Specialist Karen Nyberg. At center is Battalion Chief George Hoggard providing supervision. Ham and other crew members are at NASA's Kennedy Space Center for a dress launch rehearsal called the terminal countdown demonstration test. TCDT provides astronauts and ground crews with an opportunity to participate in various simulated countdown activities, including equipment familiarization and emergency training. On the STS-124 mission, the crew will deliver and install the Japanese Experiment Module – Pressurized Module and Japanese Remote Manipulator System. Discovery's launch is targeted for May 31. Photo credit: NASA/Kim Shiflett

30 CFR 250.1616 - Supervision, surveillance, and training.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 30 Mineral Resources 2 2013-07-01 2013-07-01 false Supervision, surveillance, and training. 250... Operations § 250.1616 Supervision, surveillance, and training. (a) The lessee shall provide onsite...-floor surveillance continuously, unless the well is secured with BOP's, bridge plugs, packers, or cement...

30 CFR 250.1616 - Supervision, surveillance, and training.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 30 Mineral Resources 2 2011-07-01 2011-07-01 false Supervision, surveillance, and training. 250... Operations § 250.1616 Supervision, surveillance, and training. (a) The lessee shall provide onsite...-floor surveillance continuously, unless the well is secured with BOP's, bridge plugs, packers, or cement...

30 CFR 250.1616 - Supervision, surveillance, and training.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 30 Mineral Resources 2 2012-07-01 2012-07-01 false Supervision, surveillance, and training. 250... Operations § 250.1616 Supervision, surveillance, and training. (a) The lessee shall provide onsite...-floor surveillance continuously, unless the well is secured with BOP's, bridge plugs, packers, or cement...

A Telehealth Intervention Using Nintendo Wii Fit Balance Boards and iPads to Improve Walking in Older Adults With Lower Limb Amputation (Wii.n.Walk): Study Protocol for a Randomized Controlled Trial

PubMed Central

Imam, Bita; Finlayson, Heather C; Eng, Janice J; Payne, Michael WC; Jarus, Tal; Goldsmith, Charles H; Mitchell, Ian M

2014-01-01

Background The number of older adults living with lower limb amputation (LLA) who require rehabilitation for improving their walking capacity and mobility is growing. Existing rehabilitation practices frequently fail to meet this demand. Nintendo Wii Fit may be a valuable tool to enable rehabilitation interventions. Based on pilot studies, we have developed “Wii.n.Walk”, an in-home telehealth Wii Fit intervention targeted to improve walking capacity in older adults with LLA. Objective The objective of this study is to determine whether the Wii.n.Walk intervention enhances walking capacity compared to an attention control group. Methods This project is a multi-site (Vancouver BC, London ON), parallel, evaluator-blind randomized controlled trial. Participants include community-dwelling older adults over the age of 50 years with unilateral transtibial or transfemoral amputation. Participants will be stratified by site and block randomized in triplets to either the Wii.n.Walk intervention or an attention control group employing the Wii Big Brain cognitive software. This trial will include both supervised and unsupervised phases. During the supervised phase, both groups will receive 40-minute sessions of supervised group training three times per week for a duration of 4 weeks. Participants will complete the first week of the intervention in groups of three at their local rehabilitation center with a trainer. The remaining 3 weeks will take place at participants’ homes using remote supervision by the trainer using Apple iPad technology. At the end of 4 weeks, the supervised period will end and the unsupervised period will begin. Participants will retain the Wii console and be encouraged to continue using the program for an additional 4 weeks’ duration. The primary outcome measure will be the “Two-Minute Walk Test” to measure walking capacity. Outcome measures will be evaluated for all participants at baseline, after the end of both the supervised and unsupervised phases, and after 1-year follow up. Results Study staff have been hired and trained at both sites and recruitment is currently underway. No participants have been enrolled yet. Conclusions Wii.n.Walk is a promising in-home telehealth intervention that may have useful applications for older adults with LLA who are discharged from rehabilitation or live in remote areas having limited or no access to existing rehabilitation programs. Trial Registration Clinicaltrial.gov NCT01942798; http://clinicaltrials.gov/ct2/show/NCT01942798 (Archived by WebCite at http://www.webcitation.org/6V0w8baKP). PMID:25533902

The Relationship of Supervisory Experience, Counseling Experience, and Training in Supervision to Supervisory Identity Development

ERIC Educational Resources Information Center

Pelling, Nadine

2008-01-01

The relationship between supervisory identity development and supervisory experience, counseling experience, and training in supervision was examined for Association for Counselor Education and Supervision (ACES) members. Analyses indicated that supervisory experience and training were related to supervisory identity development, whilst counseling…

Biophysical control of intertidal benthic macroalgae revealed by high-frequency multispectral camera images

NASA Astrophysics Data System (ADS)

van der Wal, Daphne; van Dalen, Jeroen; Wielemaker-van den Dool, Annette; Dijkstra, Jasper T.; Ysebaert, Tom

2014-07-01

Intertidal benthic macroalgae are a biological quality indicator in estuaries and coasts. While remote sensing has been applied to quantify the spatial distribution of such macroalgae, it is generally not used for their monitoring. We examined the day-to-day and seasonal dynamics of macroalgal cover on a sandy intertidal flat using visible and near-infrared images from a time-lapse camera mounted on a tower. Benthic algae were identified using supervised, semi-supervised and unsupervised classification techniques, validated with monthly ground-truthing over one year. A supervised classification (based on maximum likelihood, using training areas identified in the field) performed best in discriminating between sediment, benthic diatom films and macroalgae, with highest spectral separability between macroalgae and diatoms in spring/summer. An automated unsupervised classification (based on the Normalised Differential Vegetation Index NDVI) allowed detection of daily changes in macroalgal coverage without the need for calibration. This method showed a bloom of macroalgae (filamentous green algae, Ulva sp.) in summer with > 60% cover, but with pronounced superimposed day-to-day variation in cover. Waves were a major factor in regulating macroalgal cover, but regrowth of the thalli after a summer storm was fast (2 weeks). Images and in situ data demonstrated that the protruding tubes of the polychaete Lanice conchilega facilitated both settlement (anchorage) and survival (resistance to waves) of the macroalgae. Thus, high-frequency, high resolution images revealed the mechanisms for regulating the dynamics in cover of the macroalgae and for their spatial structuring. Ramifications for the mode, timing, frequency and evaluation of monitoring macroalgae by field and remote sensing surveys are discussed.

SQUID: sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation.

PubMed

Farjadian, Amir B; Sivak, Mark L; Mavroidis, Constantinos

2013-06-01

Stroke is a leading cause of serious long-term disability in the United States. There is a need for new technological adjuncts to expedite patients' scheduled discharge from hospital and pursue rehabilitation procedure at home. SQUID is a low-cost, smart shirt that incorporates a six-channel electromyography (EMG) and heart rate data acquisition module to deliver objective audiovisual and haptic biofeedback to the patient. The sensorized shirt is interfaced with a smartphone application, for the subject's usage at home, as well as the online database, for the therapist's remote supervision from hospital. A single healthy subject was recruited to investigate the system functionality during improperly performed exercise. The system can potentially be used in automated, remote monitoring of variety of physical therapy exercises, rooted in strength or coordination training of specific muscle groups.

Pedagogy of Research Supervision Pedagogy: A Constructivist Model

ERIC Educational Resources Information Center

Qureshi, Rashida; Vazir, Neelofar

2016-01-01

Graduate research is an integral part of higher education in Pakistan but formal training in supervision is not included in any standard teacher training curriculum. Hence, supervisors usually depend on their own experiences of how they were supervised as graduate students and so every supervisor builds his/her own model of supervision. In this…

Does training frequency and supervision affect compliance, performance and muscular health? A cluster randomized controlled trial.

PubMed

Dalager, Tina; Bredahl, Thomas G V; Pedersen, Mogens T; Boyle, Eleanor; Andersen, Lars L; Sjøgaard, Gisela

2015-10-01

The aim was to determine the effect of one weekly hour of specific strength training within working hours, performed with the same total training volume but with different training frequencies and durations, or with different levels of supervision, on compliance, muscle health and performance, behavior and work performance. In total, 573 office workers were cluster-randomized to: 1 WS: one 60-min supervised session/week, 3 WS: three 20-min supervised sessions/week, 9 WS: nine 7-min supervised sessions/week, 3 MS: three 20-min sessions/week with minimal supervision, or REF: a reference group without training. Outcomes were diary-based compliance, total training volume, muscle performance and questionnaire-based health, behavior and work performance. Comparisons were made among the WS training groups and between 3 WS and 3 MS. If no difference, training groups were collapsed (TG) and compared with REF. Results demonstrated similar degrees of compliance, mean(range) of 39(33-44)%, and total training volume, 13.266(11.977-15.096)kg. Musculoskeletal pain in neck and shoulders were reduced with approx. 50% in TG, which was significant compared with REF. Only the training groups improved significantly their muscle strength 8(4-13)% and endurance 27(12-37)%, both being significant compared with REF. No change in workability, productivity or self-rated health was demonstrated. Secondary analysis showed exercise self-efficacy to be a significant predictor of compliance. Regardless of training schedule and supervision, similar degrees of compliance were shown together with reduced musculoskeletal pain and improved muscle performance. These findings provide evidence that a great degree of flexibility is legitimate for companies in planning future implementation of physical exercise programs at the workplace. ClinicalTrials.gov, number NCT01027390. Copyright © 2015 Elsevier Ltd. All rights reserved.

Supervision, transference and countertransference.

PubMed

Fink, Klaus

2007-10-01

The author discusses supervision, transference and countertransference as seen in the context of the clinical case of a patient who had been first seen as a training analysis case and who later, in a fortuitous way, was treated by the supervisor of the training analysis. The supervisor, who in the first instance did not recognize the patient, discusses the reasons for this unusual experience in terms of the presence and absence of transference during the analysis of this patient as a training case and the problems inherent in the task of supervising. The patient's feelings towards the first and the second analyst and the vicissitudes of transference and countertransference during the supervision of the training analysis and its influence on the presentation of the analytical sessions by the student are also detailed and discussed. The question of recorded supervision presentations and their possible influence on the dynamics of supervision is raised.

The probabilistic neural network architecture for high speed classification of remotely sensed imagery

NASA Technical Reports Server (NTRS)

Chettri, Samir R.; Cromp, Robert F.

1993-01-01

In this paper we discuss a neural network architecture (the Probabilistic Neural Net or the PNN) that, to the best of our knowledge, has not previously been applied to remotely sensed data. The PNN is a supervised non-parametric classification algorithm as opposed to the Gaussian maximum likelihood classifier (GMLC). The PNN works by fitting a Gaussian kernel to each training point. The width of the Gaussian is controlled by a tuning parameter called the window width. If very small widths are used, the method is equivalent to the nearest neighbor method. For large windows, the PNN behaves like the GMLC. The basic implementation of the PNN requires no training time at all. In this respect it is far better than the commonly used backpropagation neural network which can be shown to take O(N6) time for training where N is the dimensionality of the input vector. In addition the PNN can be implemented in a feed forward mode in hardware. The disadvantage of the PNN is that it requires all the training data to be stored. Some solutions to this problem are discussed in the paper. Finally, we discuss the accuracy of the PNN with respect to the GMLC and the backpropagation neural network (BPNN). The PNN is shown to be better than GMLC and not as good as the BPNN with regards to classification accuracy.

Is supervision necessary? Examining the effects of internet-based CBT training with and without supervision.

PubMed

Rakovshik, Sarah G; McManus, Freda; Vazquez-Montes, Maria; Muse, Kate; Ougrin, Dennis

2016-03-01

To investigate the effect of Internet-based training (IBT), with and without supervision, on therapists' (N = 61) cognitive-behavioral therapy (CBT) skills in routine clinical practice. Participants were randomized into 3 conditions: (1) Internet-based training with use of a consultation worksheet (IBT-CW); (2) Internet-based training with CBT supervision via Skype (IBT-S); and (3) "delayed-training" controls (DTs), who did not receive the training until all data collection was completed. The IBT participants received access to training over a period of 3 months. CBT skills were evaluated at pre-, mid- and posttraining/wait using assessor competence ratings of recorded therapy sessions. Hierarchical linear analysis revealed that the IBT-S participants had significantly greater CBT competence at posttraining than did IBT-CW and DT participants at both the mid- and posttraining/wait assessment points. There were no significant differences between IBT-CW and the delayed (no)-training DTs. IBT programs that include supervision may be a scalable and effective method of disseminating CBT into routine clinical practice, particularly for populations without ready access to more-traditional "live" methods of training. There was no evidence for a significant effect of IBT without supervision over a nontraining control, suggesting that merely providing access to IBT programs may not be an effective method of disseminating CBT to routine clinical practice. (c) 2016 APA, all rights reserved).

A systematic review of professional supervision experiences and effects for allied health practitioners working in non-metropolitan health care settings

PubMed Central

Ducat, Wendy H; Kumar, Saravana

2015-01-01

Introduction In regional, rural, and remote settings, allied health professional supervision is one organizational mechanism designed to support and retain the workforce, provide clinical governance, and enhance service delivery. A systematic approach to evaluating the evidence of the experience and effects of professional supervision for non-metropolitan allied health practitioners and their service delivery is needed. Methods Studies investigating the experience and effects of professional supervision across 17 allied health disciplines in non-metropolitan health services were systematically searched for using standardized keywords across seven databases. The initial search identified 1,574 references. Of these studies, five met inclusion criteria and were subject to full methodological appraisal by both reviewers. Two studies were primarily qualitative with three studies primarily quantitative in their approach. Studies were appraised using McMaster critical appraisal tools and data were extracted and synthesized. Results Studies reported the context specific benefits and challenges of supervision in non-metropolitan areas and the importance of supervision in enhancing satisfaction and support in these areas. Comparison of findings between metropolitan and non-metropolitan settings within one study suggested that allied health in non-metropolitan settings were more satisfied with supervision though less likely to access it and preferred supervision with other non-metropolitan practitioners over access to more experienced supervisors. One study in a regional health service identified the lack of an agreed upon definition and functions of supervision when supervisors from diverse allied health disciplines were surveyed. While methodologically weak, all studies reported positive perceptions of supervision across professionals, supervisors, and managers. This is in accordance with previous research in the wider supervision literature. Discussion Considering the large pool of studies retrieved for further investigation, few of these met inclusion criteria demonstrating the paucity of primary research in this area. Increased training, policies, and implementation frameworks to ensure the definition and functions of supervision are agreed upon across the allied health disciplines in non-metropolitan areas is needed. Furthermore, systematic evaluation of supervision implementation in non-metropolitan settings, investigation of the experience and effects of distance based supervision (versus face-to-face), and increased rigor in research studies investigating non-metropolitan allied health profession supervision is needed. PMID:26347446

Group Supervision in Psychotherapy. Main Findings from a Swedish Research Project on Psychotherapy Supervision in a Group Format

ERIC Educational Resources Information Center

Ogren, Marie-Louise; Sundin, Eva C.

2009-01-01

Psychotherapy supervision is considered crucial for psychotherapists in training. During the last decades, group supervision has been a frequently used format in many countries. Until recently, very few studies had evaluated the small-group format for training of beginner psychotherapists and psychotherapy supervisors. This article aims to…

Distributed architecture and distributed processing mode in urban sewage treatment

NASA Astrophysics Data System (ADS)

Zhou, Ruipeng; Yang, Yuanming

2017-05-01

Decentralized rural sewage treatment facility over the broad area, a larger operation and management difficult, based on the analysis of rural sewage treatment model based on the response to these challenges, we describe the principle, structure and function in networking technology and network communications technology as the core of distributed remote monitoring system, through the application of case analysis to explore remote monitoring system features in a decentralized rural sewage treatment facilities in the daily operation and management. Practice shows that the remote monitoring system to provide technical support for the long-term operation and effective supervision of the facilities, and reduced operating, maintenance and supervision costs for development.

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.

Bridging the training-practice gap in interprofessional student supervision.

PubMed

Martin, Priya; Kumar, Saravana; Abernathy, LuJuana

2017-04-01

Workforce recruitment and retention issues are common in highly dispersed regions such as Queensland in Australia. Provision of student placements in these non-metropolitan areas is one way of promoting staff recruitment. However, healthcare professionals in these areas face a number of challenges in accessing training opportunities including student supervision training. Funding was made available to develop and run a series of targeted, evidence-based, interprofessional student supervision workshops in non-metropolitan Queensland. Workshop participants were health professionals from both public and private health service providers in Queensland. Using a pre-post design, anonymous data were collected through surveys administered before and after workshop participation. Descriptive statistics were used to analyze participant information. Free text responses were categorized using an iterative process to identify prevalent themes. A total of 147 participants attended nine face-to-face workshops and provided data. Allied health participants represented 70% of the population, with the remainder largely from nursing, medicine and dentistry. There was a positive shift in self-reported level of confidence in student supervision following training. Of the participants 143 (97%) reported that they acquired new skills and knowledge from training. A number of enablers of and barriers to translation of learning to practice following interprofessional student supervision training were identified. Targeted interprofessional student supervision training is valuable and can increase participants' self-reported level of confidence in student supervision. It is recommended that health organizations promote a culture of providing positive student placement experiences in order to maximize future workforce opportunities.

Sprint Conditioning of Junior Soccer Players: Effects of Training Intensity and Technique Supervision

PubMed Central

Haugen, Thomas; Tønnessen, Espen; Øksenholt, Øyvind; Haugen, Fredrik Lie; Paulsen, Gøran; Enoksen, Eystein; Seiler, Stephen

2015-01-01

The aims of the present study were to compare the effects of 1) training at 90 and 100% sprint velocity and 2) supervised versus unsupervised sprint training on soccer-specific physical performance in junior soccer players. Young, male soccer players (17 ±1 yr, 71 ±10 kg, 180 ±6 cm) were randomly assigned to four different treatment conditions over a 7-week intervention period. A control group (CON, n=9) completed regular soccer training according to their teams’ original training plans. Three training groups performed a weekly repeated-sprint training session in addition to their regular soccer training sessions performed at A) 100% intensity without supervision (100UNSUP, n=13), B) 90% of maximal sprint velocity with supervision (90SUP, n=10) or C) 90% of maximal sprint velocity without supervision (90UNSUP, n=13). Repetitions x distance for the sprint-training sessions were 15x20 m for 100UNSUP and 30x20 m for 90SUP and 90UNSUP. Single-sprint performance (best time from 15x20 m sprints), repeated-sprint performance (mean time over 15x20 m sprints), countermovement jump and Yo-Yo Intermittent Recovery Level 1 (Yo-Yo IR1) were assessed during pre-training and post-training tests. No significant differences in performance outcomes were observed across groups. 90SUP improved Yo-Yo IR1 by a moderate margin compared to controls, while all other effect magnitudes were trivial or small. In conclusion, neither weekly sprint training at 90 or 100% velocity, nor supervised sprint training enhanced soccer-specific physical performance in junior soccer players. PMID:25798601

Transfer of communication skills training from workshop to workplace: the impact of clinical supervision.

PubMed

Heaven, Cathy; Clegg, Jenny; Maguire, Peter

2006-03-01

Recent studies have recognised that the communication skills learned in the training environment are not always transferred back into the clinical setting. This paper reports a study which investigated the potential of clinical supervision in enhancing the transfer process. A randomised controlled trial was conducted involving 61 clinical nurse specialists. All attended a 3-day communication skills training workshop. Twenty-nine were then randomised to 4 weeks of clinical supervision, aimed at facilitating transfer of newly acquired skills into practice. Assessments, using real and simulated patients, were carried out before the course, immediately after the supervision period and 3 months later. Interviews were rated objectively using the Medical Interview Aural Rating Scale (MIARS) to assess nurses' ability to use key skills, respond to patient cues and identify patient concerns. Assessments with simulated patients showed that the training programme was extremely effective in changing competence in all three key areas. However, only those who experienced supervision showed any evidence of transfer. Improvements were found in the supervised groups' use of open questions, negotiation and psychological exploration. Whilst neither group facilitated more disclosure of cues or concerns, those in the experimental group responded more effectively to the cues disclosed, reduced their distancing behaviour and increasing their exploration of cues. The study has shown that whilst training enhances skills, without intervention, it may have little effect on clinical practice. The potential role of clinical supervision as one way of enhancing the clinical effectiveness of communication skills training programmes has been demonstrated. PRACTISE IMPLICATIONS: This study raises questions about the effectiveness of training programmes which do not incorporate a transfer element, and provides evidence to support the need for clinical supervision for clinical nurse specialist.

An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.

PubMed

Stanescu, Ana; Caragea, Doina

2015-01-01

Recent biochemical advances have led to inexpensive, time-efficient production of massive volumes of raw genomic data. Traditional machine learning approaches to genome annotation typically rely on large amounts of labeled data. The process of labeling data can be expensive, as it requires domain knowledge and expert involvement. Semi-supervised learning approaches that can make use of unlabeled data, in addition to small amounts of labeled data, can help reduce the costs associated with labeling. In this context, we focus on the problem of predicting splice sites in a genome using semi-supervised learning approaches. This is a challenging problem, due to the highly imbalanced distribution of the data, i.e., small number of splice sites as compared to the number of non-splice sites. To address this challenge, we propose to use ensembles of semi-supervised classifiers, specifically self-training and co-training classifiers. Our experiments on five highly imbalanced splice site datasets, with positive to negative ratios of 1-to-99, showed that the ensemble-based semi-supervised approaches represent a good choice, even when the amount of labeled data consists of less than 1% of all training data. In particular, we found that ensembles of co-training and self-training classifiers that dynamically balance the set of labeled instances during the semi-supervised iterations show improvements over the corresponding supervised ensemble baselines. In the presence of limited amounts of labeled data, ensemble-based semi-supervised approaches can successfully leverage the unlabeled data to enhance supervised ensembles learned from highly imbalanced data distributions. Given that such distributions are common for many biological sequence classification problems, our work can be seen as a stepping stone towards more sophisticated ensemble-based approaches to biological sequence annotation in a semi-supervised framework.

An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets

PubMed Central

2015-01-01

Background Recent biochemical advances have led to inexpensive, time-efficient production of massive volumes of raw genomic data. Traditional machine learning approaches to genome annotation typically rely on large amounts of labeled data. The process of labeling data can be expensive, as it requires domain knowledge and expert involvement. Semi-supervised learning approaches that can make use of unlabeled data, in addition to small amounts of labeled data, can help reduce the costs associated with labeling. In this context, we focus on the problem of predicting splice sites in a genome using semi-supervised learning approaches. This is a challenging problem, due to the highly imbalanced distribution of the data, i.e., small number of splice sites as compared to the number of non-splice sites. To address this challenge, we propose to use ensembles of semi-supervised classifiers, specifically self-training and co-training classifiers. Results Our experiments on five highly imbalanced splice site datasets, with positive to negative ratios of 1-to-99, showed that the ensemble-based semi-supervised approaches represent a good choice, even when the amount of labeled data consists of less than 1% of all training data. In particular, we found that ensembles of co-training and self-training classifiers that dynamically balance the set of labeled instances during the semi-supervised iterations show improvements over the corresponding supervised ensemble baselines. Conclusions In the presence of limited amounts of labeled data, ensemble-based semi-supervised approaches can successfully leverage the unlabeled data to enhance supervised ensembles learned from highly imbalanced data distributions. Given that such distributions are common for many biological sequence classification problems, our work can be seen as a stepping stone towards more sophisticated ensemble-based approaches to biological sequence annotation in a semi-supervised framework. PMID:26356316

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

Form Follows Function: A Model for Clinical Supervision of Genetic Counseling Students.

PubMed

Wherley, Colleen; Veach, Patricia McCarthy; Martyr, Meredith A; LeRoy, Bonnie S

2015-10-01

Supervision plays a vital role in genetic counselor training, yet models describing genetic counseling supervision processes and outcomes are lacking. This paper describes a proposed supervision model intended to provide a framework to promote comprehensive and consistent clinical supervision training for genetic counseling students. Based on the principle "form follows function," the model reflects and reinforces McCarthy Veach et al.'s empirically derived model of genetic counseling practice - the "Reciprocal Engagement Model" (REM). The REM consists of mutually interactive educational, relational, and psychosocial components. The Reciprocal Engagement Model of Supervision (REM-S) has similar components and corresponding tenets, goals, and outcomes. The 5 REM-S tenets are: Learning and applying genetic information are key; Relationship is integral to genetic counseling supervision; Student autonomy must be supported; Students are capable; and Student emotions matter. The REM-S outcomes are: Student understands and applies information to independently provide effective services, develop professionally, and engage in self-reflective practice. The 16 REM-S goals are informed by the REM of genetic counseling practice and supported by prior literature. A review of models in medicine and psychology confirms the REM-S contains supervision elements common in healthcare fields, while remaining unique to genetic counseling. The REM-S shows promise for enhancing genetic counselor supervision training and practice and for promoting research on clinical supervision. The REM-S is presented in detail along with specific examples and training and research suggestions.

"Is supervision necessary? Examining the effects of Internet-based CBT training with and without supervision": Correction to Rakovshik et al. (2016).

PubMed

2016-12-01

Reports an error in "Is supervision necessary? Examining the effects of internet-based CBT training with and without supervision" by Sarah G. Rakovshik, Freda McManus, Maria Vazquez-Montes, Kate Muse and Dennis Ougrin ( Journal of Consulting and Clinical Psychology , 2016[Mar], Vol 84[3], 191-199). In the article, the department and affiliation were misspelled for author Kate Muse. The department and affiliation should have read Psychology Department, University of Worcester. All versions of this article has been corrected. (The following abstract of the original article appeared in record 2016-03513-001.) Objective: To investigate the effect of Internet-based training (IBT), with and without supervision, on therapists' (N = 61) cognitive-behavioral therapy (CBT) skills in routine clinical practice. Participants were randomized into 3 conditions: (1) Internet-based training with use of a consultation worksheet (IBT-CW); (2) Internet-based training with CBT supervision via Skype (IBT-S); and (3) "delayed-training" controls (DTs), who did not receive the training until all data collection was completed. The IBT participants received access to training over a period of 3 months. CBT skills were evaluated at pre-, mid- and posttraining/wait using assessor competence ratings of recorded therapy sessions. Hierarchical linear analysis revealed that the IBT-S participants had significantly greater CBT competence at posttraining than did IBT-CW and DT participants at both the mid- and posttraining/wait assessment points. There were no significant differences between IBT-CW and the delayed (no)-training DTs. IBT programs that include supervision may be a scalable and effective method of disseminating CBT into routine clinical practice, particularly for populations without ready access to more-traditional "live" methods of training. There was no evidence for a significant effect of IBT without supervision over a nontraining control, suggesting that merely providing access to IBT programs may not be an effective method of disseminating CBT to routine clinical practice. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Efficient, quality-assured data capture in operational research through innovative use of open-access technology

PubMed Central

Naik, B.; Guddemane, D. K.; Bhat, P.; Wilson, N.; Sreenivas, A. N.; Lauritsen, J. M.; Rieder, H. L.

2013-01-01

Ensuring quality of data during electronic data capture has been one of the most neglected components of operational research. Multicentre studies are also challenged with issues about logistics of travel, training, supervision, monitoring and troubleshooting support. Allocating resources to these issues can pose a significant bottleneck for operational research in resource-limited settings. In this article, we describe an innovative and efficient way of coordinating data capture in multicentre operational research using a combination of three open access technologies—EpiData for data capture, Dropbox for sharing files and TeamViewer for providing remote support. PMID:26392997

30 CFR 250.1616 - Supervision, surveillance, and training.

Code of Federal Regulations, 2010 CFR

2010-07-01

... OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Sulphur Operations § 250.1616 Supervision, surveillance, and training. (a) The lessee shall provide onsite supervision of drilling operations at all times. (b) From the time drilling operations are initiated and until the well is completed...

A Grounded Theory Study of Supervision of Preservice Consultation Training

ERIC Educational Resources Information Center

Newman, Daniel S.

2012-01-01

The purpose of this study was to explore a university-based supervision process for consultants-in-training (CITs) engaged in a preservice level consultation course with applied practicum experience. The study was approached from a constructivist worldview using a grounded theory methodology. Data consisted of supervision session transcripts,…

QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms.

PubMed

Zwartjes, Ardjan; Havinga, Paul J M; Smit, Gerard J M; Hurink, Johann L

2016-10-01

In this work, we introduce QUEST (QUantile Estimation after Supervised Training), an adaptive classification algorithm for Wireless Sensor Networks (WSNs) that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting raw sensor data puts high demands on the battery, reducing network life time. By merely transmitting partial results or classifications based on the sampled data, the amount of traffic on the network can be significantly reduced. Such classifications can be made by learning based algorithms using sampled data. An important issue, however, is the training phase of these learning based algorithms. Training a deployed sensor network requires a lot of communication and an impractical amount of human involvement. QUEST is a hybrid algorithm that combines supervised learning in a controlled environment with unsupervised learning on the location of deployment. Using the SITEX02 dataset, we demonstrate that the presented solution works with a performance penalty of less than 10% in 90% of the tests. Under some circumstances, it even outperforms a network of classifiers completely trained with supervised learning. As a result, the need for on-site supervised learning and communication for training is completely eliminated by our solution.

Western Regional Remote Sensing Conference Proceedings, 1981

NASA Technical Reports Server (NTRS)

1981-01-01

Diverse applications of LANDSAT data, problem solutions, and operational goals are described by remote sensing users from 14 western states. The proposed FY82 federal budget reductions for technology transfer activities and the planned transition of the operational remote sensing system to NOAA's supervision are also considered.

Crop Characteristics Research: Growth and Reflectance Analysis

NASA Technical Reports Server (NTRS)

Badhwar, G. D. (Principal Investigator)

1985-01-01

Much of the early research in remote sensing follows along developing spectral signatures of cover types. It was found, however, that a signature from an unknown cover class could not always be matched to a catalog value of known cover class. This approach was abandoned and supervised classification schemes followed. These were not efficient and required extensive training. It was obvious that data acquired at a single time could not separate cover types. A large portion of the proposed research has concentrated on modeling the temporal behavior of agricultural crops and on removing the need for any training data in remote sensing surveys; the key to which is the solution of the so-called 'signature extension' problem. A clear need to develop spectral estimaters of crop ontogenic stages and yield has existed even though various correlations have been developed. Considerable effort in developing techniques to estimate these variables was devoted to this work. The need to accurately evaluate existing canopy reflectance model(s), improve these models, use them to understand the crop signatures, and estimate leaf area index was the third objective of the proposed work. A synopsis of this research effort is discussed.

Training Level, Acculturation, Role Ambiguity, and Multicultural Discussions in Training and Supervising International Counseling Students in the United States

ERIC Educational Resources Information Center

Ng, Kok-Mun; Smith, Shannon D.

2012-01-01

This research partially replicated Nilsson and Anderson's "Professional Psychology: Research and Practice" (2004) study on training and supervising international students. It investigated the relationships among international counseling students' training level, acculturation, supervisory working alliance (SWA), counseling self-efficacy (COSE),…

Task sharing in rural Haiti: Qualitative assessment of a brief, structured training with and without apprenticeship supervision for community health workers

PubMed Central

McLean, Kristen E; Kaiser, Bonnie N; Hagaman, Ashley K; Wagenaar, Bradley H; Therosme, Tatiana P; Kohrt, Brandon A

2015-01-01

Despite growing support for supervision after task sharing trainings in humanitarian settings, there is limited research on the experience of trainees in apprenticeship and other supervision approaches. Studying apprenticeships from trainees’ perspectives is crucial to refine supervision and enhance motivation for service implementation. The authors implemented a multi-stage, transcultural adaptation for a pilot task sharing training in Haiti entailing three phases: 1) literature review and qualitative research to adapt a mental health and psychosocial support training; 2) implementation and qualitative process evaluation of a brief, structured group training; and 3) implementation and qualitative evaluation of an apprenticeship training, including a two year follow-up of trainees. Structured group training revealed limited knowledge acquisition, low motivation, time and resource constraints on mastery, and limited incorporation of skills into practice. Adding an apprenticeship component was associated with subjective clinical competency, increased confidence regarding utilising skills, and career advancement. Qualitative findings support the added value of apprenticeship according to trainees. PMID:26190953

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.

An Exploratory Study Examining Current Assessment Supervisory Practices in Professional Psychology.

PubMed

Iwanicki, Sierra; Peterson, Catherine

2017-01-01

The extant literature reveals a considerable amount of research examining course work or technical training in psychological assessment, but a dearth of empirical research on assessment supervision. This study examined perspectives on current assessment supervisory practices in professional psychology through an online survey. Descriptive and qualitative data were collected from 125 survey respondents who were members of assessment-focused professional organizations and who had at least 1 year of supervision experience. Responses indicated a general recognition of the need for formal training in assessment supervision, ongoing training opportunities, and adherence to supervision competencies. Responses indicated more common use of developmental and skill-based models, although most did not regard any one model of assessment supervision as superior. Despite the recommended use of a supervision contract, only 65.6% (n = 80) of respondents use one. Discussion, directed readings, modeling, role-play, and case presentations were the most common supervisory interventions. Although conclusions are constrained by low survey response rate, results yielded rich data that might guide future examination of multiple perspectives on assessment supervision and ultimately contribute to curriculum advances and the development of supervision "best practices."

On being supervised: getting value from a clinical supervisor and making the relationship work when it is not.

PubMed

Parker, Stephen; Suetani, Shuichi; Motamarri, Balaji

2017-12-01

The importance of clinical supervision is emphasised in psychiatric training programs. Despite this, the purpose and processes of supervision are often poorly defined. There is limited guidance available for trainees about their role in making supervision work. This paper considers the nature of supervision in psychiatric training and provides practical advice to help supervisees take active steps to make supervision work. In obtaining value from supervision, the active role of the supervisee in seeking feedback, finding value in criticism and building autonomy is emphasised. Additionally, the importance of exploring what value a supervisor can offer and maintaining realistic expectations is considered. Trainees can benefit from taking an active role in planning and managing their supervision to maximise their learning.

A Step Forward in Teaching Addiction Counselors How to Supervise Motivational Interviewing Using a Clinical Trials Training Approach

ERIC Educational Resources Information Center

Martino, Steve; Gallon, Steve; Ball, Samuel A.; Carroll, Kathleen M.

2007-01-01

A clinical trials training approach to supervision is a promising and empirically supported method for preparing addiction counselors to implement evidence-based behavioral treatments in community treatment programs. This supervision approach has three main components: (1) direct observation of treatment sessions; (2) structured performance…

Neural networks for learning and prediction with applications to remote sensing and speech perception

NASA Astrophysics Data System (ADS)

Gjaja, Marin N.

1997-11-01

Neural networks for supervised and unsupervised learning are developed and applied to problems in remote sensing, continuous map learning, and speech perception. Adaptive Resonance Theory (ART) models are real-time neural networks for category learning, pattern recognition, and prediction. Unsupervised fuzzy ART networks synthesize fuzzy logic and neural networks, and supervised ARTMAP networks incorporate ART modules for prediction and classification. New ART and ARTMAP methods resulting from analyses of data structure, parameter specification, and category selection are developed. Architectural modifications providing flexibility for a variety of applications are also introduced and explored. A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on fuzzy ARTMAP, is developed. System capabilities are tested on a challenging remote sensing problem, prediction of vegetation classes in the Cleveland National Forest from spectral and terrain features. After training at the pixel level, performance is tested at the stand level, using sites not seen during training. Results are compared to those of maximum likelihood classifiers, back propagation neural networks, and K-nearest neighbor algorithms. Best performance is obtained using a hybrid system based on a convex combination of fuzzy ARTMAP and maximum likelihood predictions. This work forms the foundation for additional studies exploring fuzzy ARTMAP's capability to estimate class mixture composition for non-homogeneous sites. Exploratory simulations apply ARTMAP to the problem of learning continuous multidimensional mappings. A novel system architecture retains basic ARTMAP properties of incremental and fast learning in an on-line setting while adding components to solve this class of problems. The perceptual magnet effect is a language-specific phenomenon arising early in infant speech development that is characterized by a warping of speech sound perception. An unsupervised neural network model is proposed that embodies two principal hypotheses supported by experimental data--that sensory experience guides language-specific development of an auditory neural map and that a population vector can predict psychological phenomena based on map cell activities. Model simulations show how a nonuniform distribution of map cell firing preferences can develop from language-specific input and give rise to the magnet effect.

Transfer learning improves supervised image segmentation across imaging protocols.

PubMed

van Opbroek, Annegreet; Ikram, M Arfan; Vernooij, Meike W; de Bruijne, Marleen

2015-05-01

The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervised-learning techniques which, in order to perform well, often require a large amount of labeled training data that is exactly representative of the target data. We therefore propose to use transfer learning for image segmentation. Transfer-learning techniques can cope with differences in distributions between training and target data, and therefore may improve performance over supervised learning for segmentation across scanners and scan protocols. We present four transfer classifiers that can train a classification scheme with only a small amount of representative training data, in addition to a larger amount of other training data with slightly different characteristics. The performance of the four transfer classifiers was compared to that of standard supervised classification on two magnetic resonance imaging brain-segmentation tasks with multi-site data: white matter, gray matter, and cerebrospinal fluid segmentation; and white-matter-/MS-lesion segmentation. The experiments showed that when there is only a small amount of representative training data available, transfer learning can greatly outperform common supervised-learning approaches, minimizing classification errors by up to 60%.

Web-conference supervision for advanced psychotherapy training: a practical guide.

PubMed

Abbass, Allan; Arthey, Stephen; Elliott, Jason; Fedak, Tim; Nowoweiski, Dion; Markovski, Jasmina; Nowoweiski, Sarah

2011-06-01

The advent of readily accessible, inexpensive Web-conferencing applications has opened the door for distance psychotherapy supervision, using video recordings of treated clients. Although relatively new, this method of supervision is advantageous given the ease of use and low cost of various Internet applications. This method allows periodic supervision from point to point around the world, with no travel costs and no long gaps between direct training contacts. Web-conferencing permits face-to-face training so that the learner and supervisor can read each other's emotional responses while reviewing case material. It allows group learning from direct supervision to complement local peer-to-peer learning methods. In this article, we describe the relevant literature on this type of learning method, the practical points in its utilization, its limitations, and its benefits.

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.

Education Supervisors' Views regarding Efficiency of Supervision System and In-Service Training Courses

ERIC Educational Resources Information Center

Sahin, Semiha; Cek, Fatma; Zeytin, Nalan

2011-01-01

The purpose of this study is to gather the educational supervisors' opinions regarding whether the supervision system and in-service training courses reaches its aim and to obtain their suggestions about the restructuring of the supervision system. The sample of the study is composed of 104 supervisors. The qualitative data were collected through…

Randomized, Controlled Trial of CBT Training for PTSD Providers

DTIC Science & Technology

2016-10-01

implement and evaluate a cost effective, web based self-paced training program to provide skills-oriented continuing education for mental health...professionals. The objective is to learn whether novel, internet-based training methods, with or without web -centered supervision, may provide an...condition: a) Web -based training plus web -centered supervision; b) Web - based training alone; and c) Training-as-usual control group. An equal number of

Reflections on supervision in psychotherapy.

PubMed

Fernández-Alvarez, Héctor

2016-01-01

The aim of the author is to share his reflections on supervision as a central topic in therapists' education and training programs. The concept of supervision, its functions and effects on the training process along with the contributions of different theoretical models to its evolution are addressed. Supervision alliance, the roles of supervisor and supervisee, evaluation as a central component and the influence of socioeconomic factors are discussed. The conclusions depict the most interesting paths for development in the near future and the areas where research needs to be further conducted along with the subjects most worthy of efforts in the supervision field.

Supervised spike-timing-dependent plasticity: a spatiotemporal neuronal learning rule for function approximation and decisions.

PubMed

Franosch, Jan-Moritz P; Urban, Sebastian; van Hemmen, J Leo

2013-12-01

How can an animal learn from experience? How can it train sensors, such as the auditory or tactile system, based on other sensory input such as the visual system? Supervised spike-timing-dependent plasticity (supervised STDP) is a possible answer. Supervised STDP trains one modality using input from another one as "supervisor." Quite complex time-dependent relationships between the senses can be learned. Here we prove that under very general conditions, supervised STDP converges to a stable configuration of synaptic weights leading to a reconstruction of primary sensory input.

The results of a survey highlighting issues with feedback on medical training in the United Kingdom and how a Smartphone App could provide a solution.

PubMed

Gray, Thomas G; Hood, Gill; Farrell, Tom

2015-11-06

Feedback drives learning in medical education. Healthcare Supervision Logbook (HSL) is a Smartphone App developed at Sheffield Teaching Hospitals for providing feedback on medical training, from both a trainee's and a supervisor's perspective. In order to establish a mandate for the role of HSL in clinical practice, a large survey was carried out. Two surveys (one for doctors undertaking specialty training and a second for consultants supervising their training) were designed. The survey for doctors-in-training was distributed to all specialty trainees in the South and West localities of the Health Education Yorkshire and the Humber UK region. The survey for supervisors was distributed to all consultants involved in educational and clinical supervision of specialty trainees at Sheffield Teaching Hospitals. The results confirm that specialty trainees provide feedback on their training infrequently-66 % do so only annually. 96 % of the specialty trainees owned a Smartphone and 45 % said that they would be willing to use a Smartphone App to provide daily feedback on the clinical and educational supervision they receive. Consultant supervisors do not receive regular feedback on the educational and clinical supervision they provide to trainees-56 % said they never received such feedback and 33 % said it was only on an annual basis. 86 % of consultants surveyed owned a Smartphone and 41 % said they would be willing to use a Smartphone App to provide feedback on the performance of trainees they were supervising. Feedback on medical training is recorded by specialty trainees infrequently and consultants providing educational and clinical supervision often do not receive any feedback on their performance in this area. HSL is a simple, quick and efficient way to collect and collate feedback on medical training to improve this situation. Good support and education needs to be provided when implementing this new technology.

Postgraduate Training in Student Learning and Teaching.

ERIC Educational Resources Information Center

Alpay, E.; Mendes-Tatsis, M. A.

2000-01-01

Presents an experiential postgraduate training program for student learning and supervision involving laboratory and pilot plant supervisions in the chemical engineering field. The program addresses some of the current concerns about non-technical training and the further development of the broad science and engineering knowledge of postgraduate…

An advanced rehabilitation robotic system for augmenting healthcare.

PubMed

Hu, John; Lim, Yi-Je; Ding, Ye; Paluska, Daniel; Solochek, Aaron; Laffery, David; Bonato, Paolo; Marchessault, Ronald

2011-01-01

Emerging technologies such as rehabilitation robots (RehaBot) for retraining upper and lower limb functions have shown to carry tremendous potential to improve rehabilitation outcomes. Hstar Technologies is developing a revolutionary rehabilitation robot system enhancing healthcare quality for patients with neurological and muscular injuries or functional impairments. The design of RehaBot is a safe and robust system that can be run at a rehabilitation hospital under the direct monitoring and interactive supervision control and at a remote site via telepresence operation control. RehaBot has a wearable robotic structure design like exoskeleton, which employs a unique robotic actuation--Series Elastic Actuator. These electric actuators provide robotic structural compliance, safety, flexibility, and required strength for upper extremity dexterous manipulation rehabilitation training. RehaBot also features a novel non-treadmill paddle platform capable of haptics feedback locomotion rehabilitation training. In this paper, we concern mainly about the motor incomplete patient and rehabilitation applications.

32 CFR 634.33 - Training of law enforcement personnel.

Code of Federal Regulations, 2011 CFR

2011-07-01

... ENFORCEMENT AND CRIMINAL INVESTIGATIONS MOTOR VEHICLE TRAFFIC SUPERVISION Traffic Supervision § 634.33... trained to do the following: (1) Recognize signs of alcohol and other drug impairment in persons operating...

32 CFR 634.33 - Training of law enforcement personnel.

Code of Federal Regulations, 2010 CFR

2010-07-01

... ENFORCEMENT AND CRIMINAL INVESTIGATIONS MOTOR VEHICLE TRAFFIC SUPERVISION Traffic Supervision § 634.33... trained to do the following: (1) Recognize signs of alcohol and other drug impairment in persons operating...

Management & Supervision Personnel Administration Training; General Reference.

ERIC Educational Resources Information Center

United States Government Printing Office, Washington, DC. Training and Career Development Div.

This report lists 329 books in the library of the Training and Career Development Division of the Personnel Service. The books are listed under six categories. They are: personnel administration (46), management and supervision (60), general reference (57), training (20), American Management Association (AMA) publications (118), and United States…

Supervision Training, Practices, and Interests of California Site Supervisors

ERIC Educational Resources Information Center

Uellendahl, Gail E.; Tenenbaum, Maya N.

2015-01-01

In this descriptive study, the authors surveyed 220 California school counselor site supervisors of interns about supervision training, practices, and interests. Respondents overwhelmingly (71%) felt unprepared for this role and identified the need for more formal training and support. Results indicate a crucial leadership and advocacy role for…

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

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.

Randomized, Controlled Trial of CBT Training for PTSD Providers

DTIC Science & Technology

2016-10-29

trial and comparative effectiveness study is to design, implement and evaluate a cost effective, web based self paced training program to provide skills...without web -centered supervision, may provide an effective means to train increasing numbers of mental health providers in relevant, evidence-based...in equal numbers to three parallel intervention condition: a) Web -based training plus web -centered supervision; b) Web - based training alone; and c

The use of ERTS/LANDSAT imagery in relation to airborne remote sensing for terrain analysis in western Queensland, Australia

NASA Technical Reports Server (NTRS)

Cole, M. M.; Wen-Jones, S. (Principal Investigator)

1976-01-01

The author has identified the following significant results. Series of linears were identified on the March imagery of Lady Annie-Mt. Gordon fault zone area. The series with a WSW-ENE orientation which is normal to the major structural units and also several linears with NNW-SSE orientation appears to be particularly important. Copper mineralization is known at several localities where these linears are intersected by faults. Automated outputs using supervised methods involving the selection of training sets selected by visual recognition of spectral signatures on the color composites obtained from combinations of MSS bands 4, 5 and 7 projected through appropriate filters, were generated.

Educational Supervision Appropriate for Psychiatry Trainee's Needs

ERIC Educational Resources Information Center

Rele, Kiran; Tarrant, C. Jane

2010-01-01

Objective: The authors studied the regularity and content of supervision sessions in one of the U.K. postgraduate psychiatric training schemes (Mid-Trent). Methods: A questionnaire sent to psychiatry trainees assessed the timing and duration of supervision, content and protection of supervision time, and overall quality of supervision. The authors…

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

Urban Shanty Town Recognition Based on High-Resolution Remote Sensing Images and National Geographical Monitoring Features - a Case Study of Nanning City

NASA Astrophysics Data System (ADS)

He, Y.; He, Y.

2018-04-01

Urban shanty towns are communities that has contiguous old and dilapidated houses with more than 2000 square meters built-up area or more than 50 households. This study makes attempts to extract shanty towns in Nanning City using the product of Census and TripleSat satellite images. With 0.8-meter high-resolution remote sensing images, five texture characteristics (energy, contrast, maximum probability, and inverse difference moment) of shanty towns are trained and analyzed through GLCM. In this study, samples of shanty town are well classified with 98.2 % producer accuracy of unsupervised classification and 73.2 % supervised classification correctness. Low-rise and mid-rise residential blocks in Nanning City are classified into 4 different types by using k-means clustering and nearest neighbour classification respectively. This study initially establish texture feature descriptions of different types of residential areas, especially low-rise and mid-rise buildings, which would help city administrator evaluate residential blocks and reconstruction shanty towns.

The Superskills Model: A Supervisory Microskill Competency Training Model

ERIC Educational Resources Information Center

Destler, Dusty

2017-01-01

Streamlined supervision frameworks are needed to enhance and progress the practice and training of supervisors. This author proposes the SuperSkills Model (SSM), grounded in the practice of microskills and supervision common factors, with a focus on the development and foundational learning of supervisors-in-training. The SSM worksheet prompts for…

Sustained supervised practice on a coronary anastomosis simulator increases medical student interest in surgery, unsupervised practice does not.

PubMed

Lou, Xiaoying; Enter, Daniel; Sheen, Luke; Adams, Katherine; Reed, Carolyn E; McCarthy, Patrick M; Calhoon, John H; Verrier, Edward D; Lee, Richard

2013-06-01

Given declining interest in cardiothoracic (CT) training programs during the last decade, increasing emphasis has been placed on engaging candidates early in their training. We examined the effect of supervised and unsupervised practice on medical students' interest in CT surgery. Forty-five medical students participated in this study. Participants' interest level in surgery, CT surgery, and simulation were collected before and after a pretest session. Subsequently, participants were randomized to one of three groups: control (n = 15), unsupervised training on a low-fidelity task simulator (n = 15), or supervised training with a CT surgeon or fellow on the same simulator (n = 15). After 3 weeks, attitudes were reassessed at a posttest session. Interest levels were compared before and after the pretest using paired t tests, and the effects of training on interests were assessed with multiple linear regression analyses. After the pretest session, participants were significantly more interested in simulation (p = 0.001) but not in surgery or CT surgery. After training, compared with control group participants, supervised trainees demonstrated a significant increase in their interest level in pursuing a career in surgery (p = 0.028) and an increasing trend towards a career in CT surgery (p = 0.060), whereas unsupervised trainees did not. Supervised training on low-fidelity simulators enhances interest in a career in surgery. Practice that lacks supervision does not, possibly related to the complexity of the simulated task. Mentorship efforts may need to involve sustained interaction to provide medical students with enough exposure to appreciate a surgical career. Copyright © 2013 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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.

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.

Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru

USGS Publications Warehouse

Shermeyer, Jacob S.; Haack, Barry N.

2015-01-01

Two forestry-change detection methods are described, compared, and contrasted for estimating deforestation and growth in threatened forests in southern Peru from 2000 to 2010. The methods used in this study rely on freely available data, including atmospherically corrected Landsat 5 Thematic Mapper and Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous fields (VCF). The two methods include a conventional supervised signature extraction method and a unique self-calibrating method called MODIS VCF guided forest/nonforest (FNF) masking. The process chain for each of these methods includes a threshold classification of MODIS VCF, training data or signature extraction, signature evaluation, k-nearest neighbor classification, analyst-guided reclassification, and postclassification image differencing to generate forest change maps. Comparisons of all methods were based on an accuracy assessment using 500 validation pixels. Results of this accuracy assessment indicate that FNF masking had a 5% higher overall accuracy and was superior to conventional supervised classification when estimating forest change. Both methods succeeded in classifying persistently forested and nonforested areas, and both had limitations when classifying forest change.

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

NASA Astrophysics Data System (ADS)

Li, Manchun; Ma, Lei; Blaschke, Thomas; Cheng, Liang; Tiede, Dirk

2016-07-01

Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in remote sensing classification, especially for high-resolution imagery. Many supervised classification approaches are applied to objects rather than pixels, and several studies have been conducted to evaluate the performance of such supervised classification techniques in GEOBIA. However, these studies did not systematically investigate all relevant factors affecting the classification (segmentation scale, training set size, feature selection and mixed objects). In this study, statistical methods and visual inspection were used to compare these factors systematically in two agricultural case studies in China. The results indicate that Random Forest (RF) and Support Vector Machines (SVM) are highly suitable for GEOBIA classifications in agricultural areas and confirm the expected general tendency, namely that the overall accuracies decline with increasing segmentation scale. All other investigated methods except for RF and SVM are more prone to obtain a lower accuracy due to the broken objects at fine scales. In contrast to some previous studies, the RF classifiers yielded the best results and the k-nearest neighbor classifier were the worst results, in most cases. Likewise, the RF and Decision Tree classifiers are the most robust with or without feature selection. The results of training sample analyses indicated that the RF and adaboost. M1 possess a superior generalization capability, except when dealing with small training sample sizes. Furthermore, the classification accuracies were directly related to the homogeneity/heterogeneity of the segmented objects for all classifiers. Finally, it was suggested that RF should be considered in most cases for agricultural mapping.

A qualitative investigation of the nature of "informal supervision" among therapists in training.

PubMed

Coren, Sidney; Farber, Barry A

2017-11-29

This study investigated how, when, why, and with whom therapists in training utilize "informal supervision"-that is, engage individuals who are not their formally assigned supervisors in significant conversations about their clinical work. Participants were 16 doctoral trainees in clinical and counseling psychology programs. Semi-structured interviews were conducted and analyzed using the Consensual Qualitative Research (CQR) method. Seven domains emerged from the analysis, indicating that, in general, participants believe that informal and formal supervision offer many of the same benefits, including validation, support, and reassurance; freedom and safety to discuss doubts, anxieties, strong personal reactions to patients, clinical mistakes and challenges; and alternative approaches to clinical interventions. However, several differences also emerged between these modes of learning-for example, formal supervision is seen as more focused on didactics per se ("what to do"), whereas informal supervision is seen as providing more of a "holding environment." Overall, the findings of this study suggest that informal supervision is an important and valuable adjunctive practice by which clinical trainees augment their professional competencies. Recommendations are proposed for clinical practice and training, including the need to further specify the ethical boundaries of this unique and essentially unregulated type of supervision.

Enriching Student Teaching Relationships. Supervising Teacher Edition.

ERIC Educational Resources Information Center

Clothier, Grant; Kingsley, Elizabeth

This training series was developed to improve the working relationships between supervising teachers and their student teachers. This supervising teacher's edition contains suggestions for such teachers as regards various activities dealing with the supervising/teaching situation, behavior problems, change, conference sessions, communication,…

Multicultural Supervision: What Difference Does Difference Make?

ERIC Educational Resources Information Center

Eklund, Katie; Aros-O'Malley, Megan; Murrieta, Imelda

2014-01-01

Multicultural sensitivity and competency represent critical components to contemporary practice and supervision in school psychology. Internship and supervision experiences are a capstone experience for many new school psychologists; however, few receive formal training and supervision in multicultural competencies. As an increased number of…

Target discrimination method for SAR images based on semisupervised co-training

NASA Astrophysics Data System (ADS)

Wang, Yan; Du, Lan; Dai, Hui

2018-01-01

Synthetic aperture radar (SAR) target discrimination is usually performed in a supervised manner. However, supervised methods for SAR target discrimination may need lots of labeled training samples, whose acquirement is costly, time consuming, and sometimes impossible. This paper proposes an SAR target discrimination method based on semisupervised co-training, which utilizes a limited number of labeled samples and an abundant number of unlabeled samples. First, Lincoln features, widely used in SAR target discrimination, are extracted from the training samples and partitioned into two sets according to their physical meanings. Second, two support vector machine classifiers are iteratively co-trained with the extracted two feature sets based on the co-training algorithm. Finally, the trained classifiers are exploited to classify the test data. The experimental results on real SAR images data not only validate the effectiveness of the proposed method compared with the traditional supervised methods, but also demonstrate the superiority of co-training over self-training, which only uses one feature set.

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

Effects of Theory Training, Hands-on Supervision and a Self-Instructional Treatment Manual on Staff Competency

ERIC Educational Resources Information Center

Hatlenes, Linda Teikari; Eikeseth, Svein

2016-01-01

Employing a randomized control group design, this study compared the efficacy of staff training using theory training, hands-on supervision and a self-instructional teaching manual. Participants were 12 undergraduate, health or social-work students. Initially, participants were given a three-hour lecture, and as a result, staff-participants…

Semi-supervised prediction of gene regulatory networks using machine learning algorithms.

PubMed

Patel, Nihir; Wang, Jason T L

2015-10-01

Use of computational methods to predict gene regulatory networks (GRNs) from gene expression data is a challenging task. Many studies have been conducted using unsupervised methods to fulfill the task; however, such methods usually yield low prediction accuracies due to the lack of training data. In this article, we propose semi-supervised methods for GRN prediction by utilizing two machine learning algorithms, namely, support vector machines (SVM) and random forests (RF). The semi-supervised methods make use of unlabelled data for training. We investigated inductive and transductive learning approaches, both of which adopt an iterative procedure to obtain reliable negative training data from the unlabelled data. We then applied our semi-supervised methods to gene expression data of Escherichia coli and Saccharomyces cerevisiae, and evaluated the performance of our methods using the expression data. Our analysis indicated that the transductive learning approach outperformed the inductive learning approach for both organisms. However, there was no conclusive difference identified in the performance of SVM and RF. Experimental results also showed that the proposed semi-supervised methods performed better than existing supervised methods for both organisms.

Supervising Knowledge Work.

ERIC Educational Resources Information Center

Duffy, Francis M.

This paper summarizes a new paradigm of instructional supervision, which shifts the focus on supervision from an examination of individual behavior to the improvement of work processes and social system components of the school district. The paradigm, called "Knowledge Work Supervision," helps teams of teachers and specially trained supervisors…

Virtual Reality Telerehabilitation for Postural Instability in Parkinson's Disease: A Multicenter, Single-Blind, Randomized, Controlled Trial

PubMed Central

Geroin, Christian; Dimitrova, Eleonora; Boldrini, Paolo; Waldner, Andreas; Bonadiman, Silvia; Regazzo, Sara; Stirbu, Elena; Primon, Daniela; Bosello, Christian; Gravina, Aristide Roberto; Peron, Luca; Trevisan, Monica; Garcia, Alberto Carreño; Menel, Alessia; Bloccari, Laura; Valè, Nicola; Saltuari, Leopold; Tinazzi, Michele

2017-01-01

Introduction Telerehabilitation enables patients to access remote rehabilitation services for patient-physiotherapist videoconferencing in their own homes. Home-based virtual reality (VR) balance training has been shown to reduce postural instability in patients with Parkinson's disease (PD). The primary aim was to compare improvements in postural stability after remotely supervised in-home VR balance training and in-clinic sensory integration balance training (SIBT). Methods In this multicenter study, 76 PD patients (modified Hoehn and Yahr stages 2.5–3) were randomly assigned to receive either in-home VR telerehabilitation (n = 38) or in-clinic SIBT (n = 38) in 21 sessions of 50 minutes each, 3 days/week for 7 consecutive weeks. VR telerehabilitation consisted of graded exergames using the Nintendo Wii Fit system; SIBT included exercises to improve postural stability. Patients were evaluated before treatment, after treatment, and at 1-month follow-up. Results Analysis revealed significant between-group differences in improvement on the Berg Balance Scale for the VR telerehabilitation group (p = 0.04) and significant Time × Group interactions in the Dynamic Gait Index (p = 0.04) for the in-clinic group. Both groups showed differences in all outcome measures over time, except for fall frequency. Cost comparison yielded between-group differences in treatment and equipment costs. Conclusions VR is a feasible alternative to in-clinic SIBT for reducing postural instability in PD patients having a caregiver. PMID:29333454

The Impact of the School Counselor Supervision Model on the Self-Efficacy of School Counselor Site Supervisors

ERIC Educational Resources Information Center

Brown, Carleton H.; Olivárez, Artura, Jr.; DeKruyf, Loraine

2018-01-01

Supervision is a critical element in the professional identity development of school counselors; however, available school counseling-specific supervision training is lacking. The authors describe a 4-hour supervision workshop based on the School Counselor Supervision Model (SCSM; Luke & Bernard, 2006) attended by 31 school counselors from…

Workplace training for senior trainees: a systematic review and narrative synthesis of current approaches to promote patient safety.

PubMed

Walton, Merrilyn; Harrison, Reema; Burgess, Annette; Foster, Kirsty

2015-10-01

Preventable harm is one of the top six health problems in the developed world. Developing patient safety skills and knowledge among advanced trainee doctors is critical. Clinical supervision is the main form of training for advanced trainees. The use of supervision to develop patient safety competence has not been established. To establish the use of clinical supervision and other workplace training to develop non-technical patient safety competency in advanced trainee doctors. Keywords, synonyms and subject headings were used to search eight electronic databases in addition to hand-searching of relevant journals up to 1 March 2014. Titles and abstracts of retrieved publications were screened by two reviewers and checked by a third. Full-text articles were screened against the eligibility criteria. Data on design, methods and key findings were extracted. Clinical supervision documents were assessed against components common to established patient safety frameworks. Findings from the reviewed articles and document analysis were collated in a narrative synthesis. Clinical supervision is not identified as an avenue for embedding patient safety skills in the workplace and is consequently not evaluated as a method to teach trainees these skills. Workplace training in non-technical patient safety skills is limited, but one-off training courses are sometimes used. Clinical supervision is the primary avenue for learning in postgraduate medical education but the most overlooked in the context of patient safety learning. The widespread implementation of short courses is not matched by evidence of rigorous evaluation. Supporting supervisors to identify teaching moments during supervision and to give weight to non-technical skills and technical skills equally is critical. 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.

Educational Technology and Distance Supervision in Counselor Education

ERIC Educational Resources Information Center

Carlisle, Robert Milton; Hays, Danica G.; Pribesh, Shana L.; Wood, Chris T.

2017-01-01

The authors used a nonexperimental descriptive design to examine the prevalence of distance supervision in counselor education programs, educational technology used in supervision, training on technology in supervision, and participants' (N = 673) perceptions of legal and ethical compliance. Program policies are recommended to guide the training…

Effects of Combined Aerobic-Strength Training vs Fitness Education Program in COPD Patients.

PubMed

Rinaldo, Nicoletta; Bacchi, Elisabetta; Coratella, Giuseppe; Vitali, Francesca; Milanese, Chiara; Rossi, Andrea; Schena, Federico; Lanza, Massimo

2017-11-01

We compared the effects of a new physical activity education program approach (EDU), based on a periodically supervised protocol of different exercise modalities vs traditionally supervised combined strength-endurance training (CT) on health-related factors in patients with stable chronic obstructive pulmonary disease (COPD). Twenty-eight COPD patients without comorbidities were randomly assigned to receive either EDU or CT. CT was continuously supervised to combine strength-endurance training; EDU was taught to progressively increase the rate of autonomous physical activity, through different training modalities such as Nordic walking, group classes and circuit training. Body composition, walking capacity, muscle strength, flexibility and balance, total daily energy expenditure and quality of life were evaluated at baseline, after 28 weeks training period (3d/week) and after a 14-week follow-up. No adverse events occurred during the interventions. After training, CT and EDU similarly improved walking capacity, body composition and quality of life. However, after 14 weeks of follow-up, such improvements were not maintained. Only in CT, muscle strength and flexibility improved after training but returned to baseline after follow-up. EDU, similar to CT, can effectively and safely improve health-related parameters in COPD patients. EDU could be an attractive alternative to traditional supervised training for improving quality of life in COPD patients. © Georg Thieme Verlag KG Stuttgart · New York.

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.

Relieving the Bottleneck: An Investigation of Barriers to Expansion of Supervision Networks at Genetic Counseling Training Programs.

PubMed

Berg, Jordan; Hoskovec, Jennifer; Hashmi, S Shahrukh; McCarthy Veach, Patricia; Ownby, Allison; Singletary, Claire N

2018-02-01

Rapid growth in the demand for genetic counselors has led to a workforce shortage. There is a prevailing assumption that the number of training slots for genetic counseling students is linked to the availability of clinical supervisors. This study aimed to determine and compare barriers to expansion of supervision networks at genetic counseling training programs as perceived by supervisors, non-supervisors, and Program Directors. Genetic counselors were recruited via National Society of Genetic Counselors e-blast; Program Directors received personal emails. Online surveys were completed by 216 supervisors, 98 non-supervisors, and 23 Program Directors. Respondents rated impact of 35 barriers; comparisons were made using Kruskal-Wallis and Wilcoxon ranked sum tests. Half of supervisors (51%) indicated willingness to increase supervision. All non-supervisors were willing to supervise. However, all agreed that being too busy impacted ability to supervise, highlighted by supervisors' most impactful barriers: lack of time, other responsibilities, intensive nature of supervision, desire for breaks, and unfilled positions. Non-supervisors noted unique barriers: distance, institutional barriers, and non-clinical roles. Program Directors' perceptions were congruent with those of genetic counselors with three exceptions they rated as impactful: lack of money, prefer not to supervise, and never been asked. In order to expand supervision networks and provide comprehensive student experiences, the profession must examine service delivery models to increase workplace efficiency, reconsider the supervision paradigm, and redefine what constitutes a countable case or place value on non-direct patient care experiences.

An exploration of undergraduate medical students' satisfaction with faculty support supervision during community placements in Uganda

PubMed Central

Mubuuke, AG; Oria, H; Dhabangi, A; Kiguli, S; Sewankambo, NK

2015-01-01

Introduction To produce health professionals who are oriented towards addressing community priority health needs, the training in medical schools has been transformed to include a component of community-based training. During this period, students spend a part of their training in the communities they are likely to serve upon graduation. They engage and empower local people in the communities to address their health needs during their placements, and at the same time learn from the people. During the community-based component, students are constantly supervised by faculty from the university to ensure that the intended objectives are achieved. The purpose of the present study was to explore student experiences of support supervision from university faculty during their community-based education, research and service (COBERS placements) and to identify ways in which the student learning can be improved through improved faculty supervision. Methods This was a cross-sectional study involving students at the College of Health Sciences, Makerere University, Uganda, who had a community-based component during their training. Data were collected using both questionnaires and focus group discussions. Quantitative data were analyzed using statistical software and thematic approaches were used for the analysis of qualitative data. Results Most students reported satisfaction with the COBERS supervision; however, junior students were less satisfied with the supervision than the more senior students with more experience of community-based training. Although many supervisors assisted students before departure to COBERS sites, a significant number of supervisors made little follow-up while students were in the community. Incorporating the use of information technology avenues such as emails and skype sessions was suggested as a potential way of enhancing supervision amidst resource constraints without faculty physically visiting the sites. Conclusions Although many students were satisfied with COBERS supervision, there are still some challenges, mostly seen with the more junior students. Using information technology could be a solution to some of these challenges. PMID:26626014

An exploration of undergraduate medical students' satisfaction with faculty support supervision during community placements in Uganda.

PubMed

Mubuuke, Aloysius G; Oria, Hussein; Dhabangi, Aggrey; Kiguli, Sarah; Sewankambo, Nelson K

2015-01-01

To produce health professionals who are oriented towards addressing community priority health needs, the training in medical schools has been transformed to include a component of community-based training. During this period, students spend a part of their training in the communities they are likely to serve upon graduation. They engage and empower local people in the communities to address their health needs during their placements, and at the same time learn from the people. During the community-based component, students are constantly supervised by faculty from the university to ensure that the intended objectives are achieved. The purpose of the present study was to explore student experiences of support supervision from university faculty during their community-based education, research and service (COBERS placements) and to identify ways in which the student learning can be improved through improved faculty supervision. This was a cross-sectional study involving students at the College of Health Sciences, Makerere University, Uganda, who had a community-based component during their training. Data were collected using both questionnaires and focus group discussions. Quantitative data were analyzed using statistical software and thematic approaches were used for the analysis of qualitative data. Most students reported satisfaction with the COBERS supervision; however, junior students were less satisfied with the supervision than the more senior students with more experience of community-based training. Although many supervisors assisted students before departure to COBERS sites, a significant number of supervisors made little follow-up while students were in the community. Incorporating the use of information technology avenues such as emails and skype sessions was suggested as a potential way of enhancing supervision amidst resource constraints without faculty physically visiting the sites. Although many students were satisfied with COBERS supervision, there are still some challenges, mostly seen with the more junior students. Using information technology could be a solution to some of these challenges.

Measuring the Effectiveness of a Genetic Counseling Supervision Training Conference.

PubMed

Atzinger, Carrie L; He, Hua; Wusik, Katie

2016-08-01

Genetic counselors who receive formal training report increased confidence and competence in their supervisory roles. The effectiveness of specific formal supervision training has not been assessed previously. A day-long GC supervision conference was designed based on published supervision competencies and was attended by 37 genetic counselors. Linear Mixed Model and post-hoc paired t-test was used to compare Psychotherapy Supervisor Development Scale (PSDS) scores among/between individuals pre and post conference. Generalized Estimating Equation (GEE) model and post-hoc McNemar's test was used to determine if the conference had an effect on GC supervision competencies. PSDS scores were significantly increased 1 week (p < 0.001) and 6 months (p < 0.001) following the conference. For three supervision competencies, attendees were more likely to agree they were able to perform them after the conference than before. These effects remained significant 6 months later. For the three remaining competencies, the majority of supervisors agreed they could perform these before the conference; therefore, no change was found. This exploratory study showed this conference increased the perceived confidence and competence of the supervisors who attended and increased their self-reported ability to perform certain supervision competencies. While still preliminary, this supports the idea that a one day conference on supervision has the potential to impact supervisor development.

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.

Distance learning in the public health workplace.

PubMed

Patel, M

2000-09-01

The Master of Applied Epidemiology (MAE) Program implemented in Canberra to produce public health practitioners with specified competencies in the control of communicable diseases. Twenty one of the 24 months of training is distance learning defined as, 'where the learner is physically remote from the training institution'. During this time the trainees are in supervised employment in Public Health centres across the country. Here they learn directly from first hand experiences in the work place. They return to Canberra for short, intensive periods of interactive sessions with their peers and supervisors. Lessons learnt from conducting this program are discussed in this article. They include: all trainees are not suited to this form of training; the quality of support from the field supervisors is highly variable and their role in modelling crucial to the trainees performance; demands on the academic staff is high; and the frequency of contact between trainee and academic supervisor varies considerably. To date this program has made major contributions by enhancing communicable disease surveillance and control but it demands intensive resources to sustain, quality training, and support. This model of distance learning can be adapted in the Pacific both for graduate degree courses and also for continuing education for all levels of health professionals.

Effective Yard Supervision: From Needs Assessment to Customized Training

ERIC Educational Resources Information Center

Sharkey, Jill D.; Hunnicutt, Kayleigh L.; Mayworm, Ashley M.; Schiedel, K. Chris; Calcagnotto, Leandro

2014-01-01

Most educational scholars agree that appropriate supervision of children is critical for positive youth development. Supervision is especially important during situations where children have a large degree of freedom and unstructured interaction, such as during recess. Despite the apparent importance of supervision of children at recess, there is…

A Delphi Study and Initial Validation of Counselor Supervision Competencies

ERIC Educational Resources Information Center

Neuer Colburn, Anita A.; Grothaus, Tim; Hays, Danica G.; Milliken, Tammi

2016-01-01

The authors addressed the lack of supervision training standards for doctoral counseling graduates by developing and validating an initial list of supervision competencies. They used content analysis, Delphi polling, and content validity methods to generate a list, vetted by 2 different panels of supervision experts, of 33 competencies grouped…

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).

Self-report after randomly assigned supervision does not predict ability to practice Motivational Interviewing

PubMed Central

Kutner, Bryan A.; Smith, Jennifer L.; Carpenter, K. M.; Hu, M-C.; Amrhein, Paul C.; Nunes, E. V.

2015-01-01

The objective of this study was to investigate the relation between self-report and objective assessment of Motivational Interviewing (MI) skills following training and supervision. After an MI workshop, 96 clinicians from 26 community programs (age 21–68, 65% female, 40.8% Black, 29.6% Caucasian, 24.5% Hispanic, 2.0% Asian, 3.1% other) were randomized to supervision (tele-conferencing or tape-based), or workshop only. At four time points, trainees completed a self-report of MI skill, using items from the MI Understanding questionnaire (MIU), and were objectively assessed by raters using the Motivational Interviewing Treatment Integrity (MITI) system. Correlations were calculated between MIU and MITI scores. A generalized linear mixed model was tested on MIU scores, with MITI scores, supervision condition and time as independent variables. MIU scores increased from pre-workshop (Mean = 4.74, SD = 1.79) to post-workshop (Mean = 6.31, SD = 1.03) (t = 8.69, p < .0001). With supervision, scores continued to increase, from post-workshop to week 8 (Mean = 7.07, SD = 0.91, t = 5.60, p < .0001) and from week 8 to week 20 (Mean = 7.28, SD = 0.94, t = 2.43, p = .02). However, MIU scores did not significantly correlate with MITI scores, with or without supervision. Self- reported ability increased with supervision, but self-report was not an indicator of objectively measured skill. This suggests that training does not increase correspondence between self-report and objective assessment, so community treatment programs should not rely on clinician self- report to assess the need for ongoing training and supervision and it may be necessary to train clinicians to accurately assess their own skill. PMID:25963775

Self-Report After Randomly Assigned Supervision Does not Predict Ability to Practice Motivational Interviewing.

PubMed

Wain, R Morgan; Kutner, Bryan A; Smith, Jennifer L; Carpenter, Kenneth M; Hu, Mei-Chen; Amrhein, Paul C; Nunes, Edward V

2015-10-01

The objective of this study was to investigate the relation between self-report and objective assessment of motivational interviewing (MI) skills following training and supervision. After an MI workshop, 96 clinicians from 26 community programs (age 21-68, 65% female, 40.8% Black, 29.6% Caucasian, 24.5% Hispanic, 2.0% Asian, 3.1% other) were randomized to supervision (tele-conferencing or tape-based), or workshop only. At four time points, trainees completed a self-report of MI skill, using items from the MI understanding questionnaire (MIU), and were objectively assessed by raters using the Motivational Interviewing Treatment Integrity (MITI) system. Correlations were calculated between MIU and MITI scores. A generalized linear mixed model was tested on MIU scores, with MITI scores, supervision condition and time as independent variables. MIU scores increased from pre-workshop (mean = 4.74, SD = 1.79) to post-workshop (mean = 6.31, SD = 1.03) (t = 8.69, p < .0001). With supervision, scores continued to increase, from post-workshop to week 8 (mean = 7.07, SD = 0.91, t = 5.60, p < .0001) and from week 8 to week 20 (mean = 7.28, SD = 0.94, t = 2.43, p = .02). However, MIU scores did not significantly correlate with MITI scores, with or without supervision. Self-reported ability increased with supervision, but self-report was not an indicator of objectively measured skill. This suggests that training does not increase correspondence between self-report and objective assessment, so community treatment programs should not rely on clinician self-report to assess the need for ongoing training and supervision and it may be necessary to train clinicians to accurately assess their own skill. Copyright © 2015 Elsevier Inc. All rights reserved.

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

PubMed

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

2012-01-01

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

An Integrative Spiritual Development Model of Supervision for Substance Abuse Counselors-in-Training

ERIC Educational Resources Information Center

Weiss Ogden, Karen R.; Sias, Shari M.

2011-01-01

Substance abuse counselors who address clients' spiritual development may provide more comprehensive counseling. This article presents an integrative supervision model designed to promote the spiritual development of substance abuse counselors-in-training, reviews the model, and discusses the implications for counselor education.

A semi-supervised classification algorithm using the TAD-derived background as training data

NASA Astrophysics Data System (ADS)

Fan, Lei; Ambeau, Brittany; Messinger, David W.

2013-05-01

In general, spectral image classification algorithms fall into one of two categories: supervised and unsupervised. In unsupervised approaches, the algorithm automatically identifies clusters in the data without a priori information about those clusters (except perhaps the expected number of them). Supervised approaches require an analyst to identify training data to learn the characteristics of the clusters such that they can then classify all other pixels into one of the pre-defined groups. The classification algorithm presented here is a semi-supervised approach based on the Topological Anomaly Detection (TAD) algorithm. The TAD algorithm defines background components based on a mutual k-Nearest Neighbor graph model of the data, along with a spectral connected components analysis. Here, the largest components produced by TAD are used as regions of interest (ROI's),or training data for a supervised classification scheme. By combining those ROI's with a Gaussian Maximum Likelihood (GML) or a Minimum Distance to the Mean (MDM) algorithm, we are able to achieve a semi supervised classification method. We test this classification algorithm against data collected by the HyMAP sensor over the Cooke City, MT area and University of Pavia scene.

Quasi-Supervised Scoring of Human Sleep in Polysomnograms Using Augmented Input Variables

PubMed Central

Yaghouby, Farid; Sunderam, Sridhar

2015-01-01

The limitations of manual sleep scoring make computerized methods highly desirable. Scoring errors can arise from human rater uncertainty or inter-rater variability. Sleep scoring algorithms either come as supervised classifiers that need scored samples of each state to be trained, or as unsupervised classifiers that use heuristics or structural clues in unscored data to define states. We propose a quasi-supervised classifier that models observations in an unsupervised manner but mimics a human rater wherever training scores are available. EEG, EMG, and EOG features were extracted in 30s epochs from human-scored polysomnograms recorded from 42 healthy human subjects (18 to 79 years) and archived in an anonymized, publicly accessible database. Hypnograms were modified so that: 1. Some states are scored but not others; 2. Samples of all states are scored but not for transitional epochs; and 3. Two raters with 67% agreement are simulated. A framework for quasi-supervised classification was devised in which unsupervised statistical models—specifically Gaussian mixtures and hidden Markov models—are estimated from unlabeled training data, but the training samples are augmented with variables whose values depend on available scores. Classifiers were fitted to signal features incorporating partial scores, and used to predict scores for complete recordings. Performance was assessed using Cohen's K statistic. The quasi-supervised classifier performed significantly better than an unsupervised model and sometimes as well as a completely supervised model despite receiving only partial scores. The quasi-supervised algorithm addresses the need for classifiers that mimic scoring patterns of human raters while compensating for their limitations. PMID:25679475

Quasi-supervised scoring of human sleep in polysomnograms using augmented input variables.

PubMed

Yaghouby, Farid; Sunderam, Sridhar

2015-04-01

The limitations of manual sleep scoring make computerized methods highly desirable. Scoring errors can arise from human rater uncertainty or inter-rater variability. Sleep scoring algorithms either come as supervised classifiers that need scored samples of each state to be trained, or as unsupervised classifiers that use heuristics or structural clues in unscored data to define states. We propose a quasi-supervised classifier that models observations in an unsupervised manner but mimics a human rater wherever training scores are available. EEG, EMG, and EOG features were extracted in 30s epochs from human-scored polysomnograms recorded from 42 healthy human subjects (18-79 years) and archived in an anonymized, publicly accessible database. Hypnograms were modified so that: 1. Some states are scored but not others; 2. Samples of all states are scored but not for transitional epochs; and 3. Two raters with 67% agreement are simulated. A framework for quasi-supervised classification was devised in which unsupervised statistical models-specifically Gaussian mixtures and hidden Markov models--are estimated from unlabeled training data, but the training samples are augmented with variables whose values depend on available scores. Classifiers were fitted to signal features incorporating partial scores, and used to predict scores for complete recordings. Performance was assessed using Cohen's Κ statistic. The quasi-supervised classifier performed significantly better than an unsupervised model and sometimes as well as a completely supervised model despite receiving only partial scores. The quasi-supervised algorithm addresses the need for classifiers that mimic scoring patterns of human raters while compensating for their limitations. Copyright © 2015 Elsevier Ltd. All rights reserved.

Training And Supervision Did Not Meaningfully Improve Quality Of Care For Pregnant Women Or Sick Children In Sub-Saharan Africa.

PubMed

Leslie, Hannah H; Gage, Anna; Nsona, Humphreys; Hirschhorn, Lisa R; Kruk, Margaret E

2016-09-01

In-service training courses and supportive supervision of health workers are among the most common interventions to improve the quality of health care in low- and middle-income countries. Despite extensive investment from donors, evaluations of the long-term effect of these two interventions are scarce. We used nationally representative surveys of health systems in seven countries in sub-Saharan Africa to examine the association of in-service training and supervision with provider quality in antenatal and sick child care. The results of our analysis showed that observed quality of care was poor, with fewer than half of evidence-based actions completed by health workers, on average. In-service training and supervision were associated with quality of sick child care; they were associated with quality of antenatal care only when provided jointly. All associations were modest-at most, improvements related to interventions were equivalent to 2 additional provider actions out of the 18-40 actions expected per visit. In-service training and supportive supervision as delivered were not sufficient to meaningfully improve the quality of care in these countries. Greater attention to the quality of health professional education and national health system performance will be required to provide the standard of health care that patients deserve. Project HOPE—The People-to-People Health Foundation, Inc.

46 CFR 131.420 - Manning and supervision.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 46 Shipping 4 2010-10-01 2010-10-01 false Manning and supervision. 131.420 Section 131.420 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OFFSHORE SUPPLY VESSELS OPERATIONS Sufficiency and Supervision of Crew of Survival Craft § 131.420 Manning and supervision. (a) There must be enough trained persons aboard each survival craf...

Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition.

PubMed

Fong, Simon; Song, Wei; Cho, Kyungeun; Wong, Raymond; Wong, Kelvin K L

2017-02-27

In this paper, a novel training/testing process for building/using a classification model based on human activity recognition (HAR) is proposed. Traditionally, HAR has been accomplished by a classifier that learns the activities of a person by training with skeletal data obtained from a motion sensor, such as Microsoft Kinect. These skeletal data are the spatial coordinates (x, y, z) of different parts of the human body. The numeric information forms time series, temporal records of movement sequences that can be used for training a classifier. In addition to the spatial features that describe current positions in the skeletal data, new features called 'shadow features' are used to improve the supervised learning efficacy of the classifier. Shadow features are inferred from the dynamics of body movements, and thereby modelling the underlying momentum of the performed activities. They provide extra dimensions of information for characterising activities in the classification process, and thereby significantly improve the classification accuracy. Two cases of HAR are tested using a classification model trained with shadow features: one is by using wearable sensor and the other is by a Kinect-based remote sensor. Our experiments can demonstrate the advantages of the new method, which will have an impact on human activity detection research.

Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition

PubMed Central

Fong, Simon; Song, Wei; Cho, Kyungeun; Wong, Raymond; Wong, Kelvin K. L.

2017-01-01

In this paper, a novel training/testing process for building/using a classification model based on human activity recognition (HAR) is proposed. Traditionally, HAR has been accomplished by a classifier that learns the activities of a person by training with skeletal data obtained from a motion sensor, such as Microsoft Kinect. These skeletal data are the spatial coordinates (x, y, z) of different parts of the human body. The numeric information forms time series, temporal records of movement sequences that can be used for training a classifier. In addition to the spatial features that describe current positions in the skeletal data, new features called ‘shadow features’ are used to improve the supervised learning efficacy of the classifier. Shadow features are inferred from the dynamics of body movements, and thereby modelling the underlying momentum of the performed activities. They provide extra dimensions of information for characterising activities in the classification process, and thereby significantly improve the classification accuracy. Two cases of HAR are tested using a classification model trained with shadow features: one is by using wearable sensor and the other is by a Kinect-based remote sensor. Our experiments can demonstrate the advantages of the new method, which will have an impact on human activity detection research. PMID:28264470

Seeing Is Believing: Innovating the Clinical Practice Experience for Education Specialist Teacher Candidates with Video-Based Remote Supervision

ERIC Educational Resources Information Center

Van Boxtel, Joanne M.

2017-01-01

A call to implement 21st-century change drivers within teacher preparation is evidenced within policy and research. The use of technology-enhanced methods of supervision where virtual observations of pre-service or in-service teachers are performed by university supervisors or mentors has an established and growing research base that demonstrates…

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.

SemiBoost: boosting for semi-supervised learning.

PubMed

Mallapragada, Pavan Kumar; Jin, Rong; Jain, Anil K; Liu, Yi

2009-11-01

Semi-supervised learning has attracted a significant amount of attention in pattern recognition and machine learning. Most previous studies have focused on designing special algorithms to effectively exploit the unlabeled data in conjunction with labeled data. Our goal is to improve the classification accuracy of any given supervised learning algorithm by using the available unlabeled examples. We call this as the Semi-supervised improvement problem, to distinguish the proposed approach from the existing approaches. We design a metasemi-supervised learning algorithm that wraps around the underlying supervised algorithm and improves its performance using unlabeled data. This problem is particularly important when we need to train a supervised learning algorithm with a limited number of labeled examples and a multitude of unlabeled examples. We present a boosting framework for semi-supervised learning, termed as SemiBoost. The key advantages of the proposed semi-supervised learning approach are: 1) performance improvement of any supervised learning algorithm with a multitude of unlabeled data, 2) efficient computation by the iterative boosting algorithm, and 3) exploiting both manifold and cluster assumption in training classification models. An empirical study on 16 different data sets and text categorization demonstrates that the proposed framework improves the performance of several commonly used supervised learning algorithms, given a large number of unlabeled examples. We also show that the performance of the proposed algorithm, SemiBoost, is comparable to the state-of-the-art semi-supervised learning algorithms.

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.…

What's Not Being Said? Recollections of Nondisclosure in Clinical Supervision While in Training

ERIC Educational Resources Information Center

Sweeney, Jennifer; Creaner, Mary

2014-01-01

The aim of this qualitative study was to retrospectively examine nondisclosure in individual supervision while in training. Interviews were conducted with supervisees two years post-qualification. Specific nondisclosures were examined and reasons for these nondisclosures were explored. Six in-depth semi-structured interviews were conducted and…

Training in Reflective Supervision: Building Relationships between Supervisors and Infant Mental Health Specialists

ERIC Educational Resources Information Center

Shea, Sarah E.; Goldberg, Sheryl

2016-01-01

This article describes a unique reflective supervision training series for community-based infant mental health (IMH) specialists and their supervisors that was designed to support the relational capacities of both supervisors and supervisees and to facilitate collaborative supervisory relationships. Qualitative evaluation results of the pilot…

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…

Supervised Semantic Classification for Nuclear Proliferation Monitoring

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

Vatsavai, Raju; Cheriyadat, Anil M; Gleason, Shaun Scott

2010-01-01

Existing feature extraction and classification approaches are not suitable for monitoring proliferation activity using high-resolution multi-temporal remote sensing imagery. In this paper we present a supervised semantic labeling framework based on the Latent Dirichlet Allocation method. This framework is used to analyze over 120 images collected under different spatial and temporal settings over the globe representing three major semantic categories: airports, nuclear, and coal power plants. Initial experimental results show a reasonable discrimination of these three categories even though coal and nuclear images share highly common and overlapping objects. This research also identified several research challenges associated with nuclear proliferationmore » monitoring using high resolution remote sensing images.« less

[The reference nurse--position on the practice of training and supervision].

PubMed

Manson-Clot, Myriam; Pahud, Philippe; Müller, Ronald; Dederding, Brigitte; Heliot, Céliane

2005-06-01

This qualitative research discusses the nurse known as the reference nurse who is more specifically in charge of the training and supervision, and evaluation of the student nurse who has in-service training in care unit. The research notably describes the practice and position of the Reference Nurse (hereafter RN) in this role. As the aim is to know better the practice of the RN for the training and supervision of student nurses, this is an approach of mutual understanding that every RN is individually interviewed, then that researchers meet them again, this time in groups (by region), which enables among other things, to discuss certain positions which came out of a first analysis of discussions. In this aim, within a university hospital, twenty-four nurses working in internal Medicine, Psychiatry and Surgery, were interviewed by a research team. The context of this research is particular and interesting in several respects. The research was carried out in partnership between two institutions, one institution of university care and one institution of training in nursing care; the research team therefore includes people from both institutions. It is the encounter of two worlds that have a joint function, that is to train nurses, but that also have trend and themes that are specific to them, or even antinomic; all this in a context of educational and organizational changes of the nursing training. The research themes are the activities of training and supervision carried out, the arbitration of their caring and educational practice, the key moments of training and supervision, their objective look at this role, the ideal thing as they would see it. RN described a system which is not much formal, essentially marked out by key moments such as the entry in the care unit of the student, the welcome, exchanges with the student, punctuated with educational assessment and end-of-training assessment. When giving to the patients, RN develop some forms of activities with the student which ensure the work prescribed on behalf of their responsibilities, while trying to adapt themselves and interact with the student as well as with the contextual situation. The student's questions are uses as much to check her knowledge, her understanding of the caring situations, her ability to get organised, to argue as to understand her better in her real-life experience, her self-esteem, to put her well at ease, in confidence to facilitate her apprenticeship. The quality of dialogistic communication is strongly emphasized as necessary to training and supervision. Evaluation is an important part of the supervisory work and reference nurses actually showed a tension between a control position and a confidence position in the practice of the student's follow-up. RN expressed their wish to have specific time to train and supervise the student, would like to increase partnership with schools, and requested some educational support. Their talks brought to light the various skills, as much technical as social, that this role of training and supervision requires, but also the emancipatory impact of these various roles held.

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.

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.

Supervised resistance training results in changes in postural control in patients with multiple sclerosis.

PubMed

Huisinga, Jessie M; Filipi, Mary L; Stergiou, Nicholas

2012-01-01

Postural disturbances are one of the first reported symptoms in patients with Multiple Sclerosis (MS). The purpose of this study was to investigate the effect of supervised resistance training on postural control in MS patients. Postural control was assessed using amount of sway variability [Root Mean Square (RMS)] and temporal structure of sway variability [Lyapunov Exponent (LyE)] from 15 MS patients. Posture was evaluated before and after completion of three months of resistance training. There were significant differences between MS patients pretraining and healthy controls for both LyE (p = .000) and RMS (p = .002), but no differences between groups after training. There was a significant decrease in RMS (p = .025) and a significant increase in LyE (p = .049) for MS patients pre- to posttraining. The findings suggested that postural control of MS patients could be affected by a supervised resistance training intervention.

Evidence-based Practices Addressed in Community-based Children’s Mental Health Clinical Supervision

PubMed Central

Accurso, Erin C.; Taylor, Robin M.; Garland, Ann F.

2013-01-01

Context Clinical supervision is the principal method of training for psychotherapeutic practice, however there is virtually no research on supervision practice in community settings. Of particular interest is the role supervision might play in facilitating implementation of evidence-based (EB) care in routine care settings. Objective This study examines the format and functions of clinical supervision sessions in routine care, as well as the extent to which supervision addresses psychotherapeutic practice elements common to EB care for children with disruptive behavior problems, who represent the majority of patients served in publicly-funded routine care settings. Methods Supervisors (n=7) and supervisees (n=12) from four publicly-funded community-based child mental health clinics reported on 130 supervision sessions. Results Supervision sessions were primarily individual in-person meetings lasting one hour. The most common functions included case conceptualization and therapy interventions. Coverage of practice elements common to EB treatments was brief. Discussion Despite the fact that most children presenting to public mental health services are referred for disruptive behavior problems, supervision sessions are infrequently focused on practice elements consistent with EB treatments for this population. Supervision is a promising avenue through which training in EB practices could be supported to improve the quality of care for children in community-based “usual care” clinics. PMID:24761163

Effect of Training Supervision on Effectiveness of Strength Training for Reducing Neck/Shoulder Pain and Headache in Office Workers: Cluster Randomized Controlled Trial

PubMed Central

Gram, Bibi; Andersen, Christoffer; Zebis, Mette K.; Bredahl, Thomas; Pedersen, Mogens T.; Mortensen, Ole S.; Jensen, Rigmor H.; Andersen, Lars L.; Sjøgaard, Gisela

2014-01-01

Objective. To investigate the effect of workplace neck/shoulder strength training with and without regular supervision on neck/shoulder pain and headache among office workers. Method. A 20-week cluster randomized controlled trial among 351 office workers was randomized into three groups: two training groups with the same total amount of planned exercises three times per week (1) with supervision (3WS) throughout the intervention period, (2) with minimal supervision (3MS) only initially, and (3) a reference group (REF). Main outcome is self-reported pain intensity in neck and shoulder (scale 0–9) and headache (scale 0–10). Results. Intention-to-treat analyses showed a significant decrease in neck pain intensity the last 7 days in 3MS compared with REF: −0.5 ± 0.2 (P < 0.02) and a tendency for 3WS versus REF: −0.4 ± 0.2 (P < 0.07). Intensity of headache the last month decreased in both training groups: 3WS versus REF: −1.1 ± 0.2 (P < 0.001) and 3MS versus REF: −1.1 ± 0.2 (P < 0.001). Additionally, days of headache decreased 1.0 ± 0.5 in 3WS and 1.3 ± 0.5 in 3MS versus REF. There were no differences between the two training groups for any of the variables. Conclusion. Neck/shoulder training at the workplace reduced neck pain and headache among office workers independently of the extent of supervision. This finding has important practical implications for future workplace interventions. PMID:24701581

Nondisclosure in Triadic Supervision: A Phenomenological Study of Counseling Students

ERIC Educational Resources Information Center

Lonn, Marlise R.; Juhnke, Gerald

2017-01-01

Triadic supervision is common within counselor training; however, limited research in professional counseling literature exists describing counseling students' experiences of choosing what to disclose within triadic supervision. Using transcendental phenomenological research, the authors investigated supervisees' nondisclosure within triadic…

Supervised Remote Robot with Guided Autonomy and Teleoperation (SURROGATE): A Framework for Whole-Body Manipulation

NASA Technical Reports Server (NTRS)

Hebert, Paul; Ma, Jeremy; Borders, James; Aydemir, Alper; Bajracharya, Max; Hudson, Nicolas; Shankar, Krishna; Karumanchi, Sisir; Douillard, Bertrand; Burdick, Joel

2015-01-01

The use of the cognitive capabilties of humans to help guide the autonomy of robotics platforms in what is typically called "supervised-autonomy" is becoming more commonplace in robotics research. The work discussed in this paper presents an approach to a human-in-the-loop mode of robot operation that integrates high level human cognition and commanding with the intelligence and processing power of autonomous systems. Our framework for a "Supervised Remote Robot with Guided Autonomy and Teleoperation" (SURROGATE) is demonstrated on a robotic platform consisting of a pan-tilt perception head, two 7-DOF arms connected by a single 7-DOF torso, mounted on a tracked-wheel base. We present an architecture that allows high-level supervisory commands and intents to be specified by a user that are then interpreted by the robotic system to perform whole body manipulation tasks autonomously. We use a concept of "behaviors" to chain together sequences of "actions" for the robot to perform which is then executed real time.

Comparison of standard maximum likelihood classification and polytomous logistic regression used in remote sensing

Treesearch

John Hogland; Nedret Billor; Nathaniel Anderson

2013-01-01

Discriminant analysis, referred to as maximum likelihood classification within popular remote sensing software packages, is a common supervised technique used by analysts. Polytomous logistic regression (PLR), also referred to as multinomial logistic regression, is an alternative classification approach that is less restrictive, more flexible, and easy to interpret. To...

Real-Time, Interactive Echocardiography Over High-Speed Networks: Feasibility and Functional Requirements

NASA Technical Reports Server (NTRS)

Bobinsky, Eric A.

1998-01-01

Real-time, Interactive Echocardiography Over High Speed Networks: Feasibility and Functional Requirements is an experiment in advanced telemedicine being conducted jointly by the NASA Lewis Research Center, the NASA Ames Research Center, and the Cleveland Clinic Foundation. In this project, a patient undergoes an echocardiographic examination in Cleveland while being diagnosed remotely by a cardiologist in California viewing a real-time display of echocardiographic video images transmitted over the broadband NASA Research and Education Network (NREN). The remote cardiologist interactively guides the sonographer administering the procedure through a two-way voice link between the two sites. Echocardiography is a noninvasive medical technique that applies ultrasound imaging to the heart, providing a "motion picture" of the heart in action. Normally, echocardiographic examinations are performed by a sonographer and cardiologist who are located in the same medical facility as the patient. The goal of telemedicine is to allow medical specialists to examine patients located elsewhere, typically in remote or medically underserved geographic areas. For example, a small, rural clinic might have access to an echocardiograph machine but not a cardiologist. By connecting this clinic to a major metropolitan medical facility through a communications network, a minimally trained technician would be able to carry out the procedure under the supervision and guidance of a qualified cardiologist.

Involvement of surgical trainees in surgery for colorectal cancer and their effect on outcome.

PubMed

Borowski, D W; Ratcliffe, A A; Bharathan, B; Gunn, A; Bradburn, D M; Mills, S J; Wilson, R G; Kelly, S B

2008-10-01

Surgical training in the UK is undergoing substantial changes. This study assessed: 1) the training opportunities available to trainees in operations for colorectal cancer, 2) the effect of colorectal specialization on training, and 3) the effect of consultant supervision on anastomotic complications, postoperative stay, operative mortality and 5-year survival. Unadjusted and adjusted comparisons of outcomes were made for unsupervised trainees, supervised trainees and consultants as the primary surgeon in 7411 operated patients included in the Northern Region Colorectal Cancer Audit between 1998 and 2002. Surgery was performed in 656 (8.8%) patients by unsupervised trainees and in 1578 (21.3%) patients by supervised trainees. Unsupervised operations reduced from 182 (12.4%) in 1998 to 82 (6.1%) in 2002 (P < 0.001). Consultants with a colorectal specialist interest were more likely than nonspecialists to be present at surgical resections (OR 1.35, 1.12-1.63, P = 0.001) and to provide supervised training (OR 1.34, 1.17-1.53, P < 0.001). Patients operated on by unsupervised trainees were more often high-risk patients, however, consultant presence was not significantly associated with operative mortality (OR 0.83, 0.63-1.09, P = 0.186) or survival (HR 1.02, 0.92-1.13, P = 0.735) in risk-adjusted analysis. Supervised trainees had a case-mix similar to consultants, with shorter length of hospital stay (11.4 vs 12.4 days, P < 0.001), but similar mortality (OR 0.90, 0.71-1.16, 0.418) and survival (HR 0.96, 0.89-1.05, P = 0.378). One third of patients were operated on by trainees, who were more likely to perform supervised resections in colorectal teams. There was no difference in anastomotic leaks rates, operative mortality or survival between unsupervised trainees, supervised trainees and consultants when case-mix adjustment was applied. This study would suggest that there is considerable underused training capacity available.

Effects of a Supervised versus an Unsupervised Combined Balance and Strength Training Program on Balance and Muscle Power in Healthy Older Adults: A Randomized Controlled Trial.

PubMed

Lacroix, André; Kressig, Reto W; Muehlbauer, Thomas; Gschwind, Yves J; Pfenninger, Barbara; Bruegger, Othmar; Granacher, Urs

2016-01-01

Losses in lower extremity muscle strength/power, muscle mass and deficits in static and particularly dynamic balance due to aging are associated with impaired functional performance and an increased fall risk. It has been shown that the combination of balance and strength training (BST) mitigates these age-related deficits. However, it is unresolved whether supervised versus unsupervised BST is equally effective in improving muscle power and balance in older adults. This study examined the impact of a 12-week BST program followed by 12 weeks of detraining on measures of balance and muscle power in healthy older adults enrolled in supervised (SUP) or unsupervised (UNSUP) training. Sixty-six older adults (men: 25, women: 41; age 73 ± 4 years) were randomly assigned to a SUP group (2/week supervised training, 1/week unsupervised training; n = 22), an UNSUP group (3/week unsupervised training; n = 22) or a passive control group (CON; n = 22). Static (i.e., Romberg Test) and dynamic (i.e., 10-meter walk test) steady-state, proactive (i.e., Timed Up and Go Test, Functional Reach Test), and reactive balance (e.g., Push and Release Test), as well as lower extremity muscle power (i.e., Chair Stand Test; Stair Ascent and Descent Test) were tested before and after the active training phase as well as after detraining. Adherence rates to training were 92% for SUP and 97% for UNSUP. BST resulted in significant group × time interactions. Post hoc analyses showed, among others, significant training-related improvements for the Romberg Test, stride velocity, Timed Up and Go Test, and Chair Stand Test in favor of the SUP group. Following detraining, significantly enhanced performances (compared to baseline) were still present in 13 variables for the SUP group and in 10 variables for the UNSUP group. Twelve weeks of BST proved to be safe (no training-related injuries) and feasible (high attendance rates of >90%). Deficits of balance and lower extremity muscle power can be mitigated by BST in healthy older adults. Additionally, supervised as compared to unsupervised BST was more effective. Thus, it is recommended to counteract intrinsic fall risk factors by applying supervised BST programs for older adults. © 2015 The Author(s) Published by S. Karger AG, Basel.

“Old Dogs” and New Skills: How Clinician Characteristics Relate to Motivational Interviewing Skills Before, During, and After Training

PubMed Central

Carpenter, Kenneth M.; Cheng, Wendy Y.; Smith, Jennifer L.; Brooks, Adam C.; Amrhein, Paul C.; Wain, R. Morgan; Nunes, Edward V.

2012-01-01

Objective The relationships between the occupational, educational, and verbal-cognitive characteristics of health care professionals and their Motivational Interviewing (MI) skills before, during, and after training were investigated. Method Fifty-eight community-based addiction clinicians (M = 42.1 yrs., SD =10.0; 66% Female) were assessed prior to enrolling in a two-day MI training workshop and being randomized to one of three post-workshop supervision programs: live supervision via tele-conferencing (TCS), standard tape-based supervision (Tape), or workshop training alone. Audiotaped sessions with clients were rated for MI skillfulness with the Motivational Interviewing Treatment Integrity (MITI) coding system v 2.0 at pre-workshop and 1, 8, and 20 weeks post-workshop. Correlation coefficients and generalized linear models were used to test the relationships between clinician characteristics and MI skill at each assessment point. Results Baseline MI skill levels were the most robust predictors of pre- and post-supervision performances. Clinician characteristics were associated with MI Spirit and reflective listening skill throughout training and moderated the effect of post-workshop supervision method on MI skill. TCS, which provided immediate feedback during practice sessions, was most effective for increasing MI Spirit and reflective listening among clinicians with no graduate degree and stronger vocabulary performances. Tape supervision was more effective for increasing these skills among clinicians with a graduate degree. Further, TCS and Tape were most likely to enhance MI Spirit among clinicians with low average to average verbal and abstract reasoning performances. Conclusions Clinician attributes influence the effectiveness of methods used to promote the acquisition of evidence-based practices among community-based practitioners. PMID:22563640

Teledentistry-assisted, affiliated practice for dental hygienists: an innovative oral health workforce model.

PubMed

Summerfelt, Fred F

2011-06-01

The 2010 U.S. Patient Protection and Affordable Care Act (PPACA) calls for training programs to develop mid-level dental health care providers to work in areas with underserved populations. In 2004, legislation was passed in Arizona allowing qualified dental hygienists to enter into an affiliated practice relationship with a dentist to provide oral health care services for underserved populations without general or direct supervision in public health settings. In response, the Northern Arizona University (NAU) Dental Hygiene Department developed a teledentistry-assisted, affiliated practice dental hygiene model that places a dental hygienist in the role of the mid-level practitioner as part of a digitally linked oral health care team. Utilizing current technologies, affiliated practice dental hygienists can digitally acquire and transmit diagnostic data to a distant dentist for triage, diagnosis, and patient referral in addition to providing preventive services permitted within the dental hygiene scope of practice. This article provides information about the PPACA and the Arizona affiliated practice dental hygiene model, defines teledentistry, identifies the digital equipment used in NAU's teledentistry model, give an overview of NAU's teledentistry training, describes NAU's first teledentistry clinical experience, presents statistical analyses and evaluation of NAU students' ability to acquire diagnostically efficacious digital data from remote locations, and summarizes details of remote applications of teledentistry-assisted, affiliated practice dental hygiene workforce model successes.

District nurses' experience of supervising nursing students in primary health care: A pre- and post-implementation questionnaire study.

PubMed

Bos, Elisabeth; Löfmark, Anna; Törnkvist, Lena

2009-11-01

Nursing students go through clinical supervision in primary health care settings but district nurses' (DNs) circumstances when supervising them are only briefly described in the literature. The aim of this study was to investigate DNs experience of supervising nursing students before and after the implementation of a new supervision model. Ninety-eight (74%) DNs answered a questionnaire before and 84 (65%) after implementation of the new supervision model. The study showed that DNs in most cases felt that conditions for supervision in the workplace were adequate. But about 70% lacked training for the supervisory role and 20% had no specialist district nurse training. They also experienced difficulty in keeping up-to-date with changes in nurse education programmes, in receiving support from the university and from their clinic managers, and in setting aside time for supervision. Improvements after the implementation of a new model chiefly concerned organisation; more DNs stated that one person had primary responsibility for students' clinical practice, that information packages for supervisors and students were available at the health care centres, and that conditions were in place for increasing the number of students they supervised. DNs also stated that supervisors and students benefited from supervision by more than one supervisor. To conclude, implementation of a new supervision model resulted in some improvements.

Providing Competency Training to Clinical Supervisors through an Interactional Supervision Approach

ERIC Educational Resources Information Center

Tebes, Jacob Kraemer; Matlin, Samantha L.; Migdole, Scott J.; Farkas, Melanie S.; Money, Roy W.; Shulman, Lawrence; Hoge, Michael A.

2011-01-01

Training in supervisory competencies is essential to effective clinical practice and helps address the current national crisis in the behavioral health workforce. Interactional supervision, the approach used in the current study, is well established in clinical social work and focuses the task of the supervisee on the interpersonal exchanges…

Emergent Supervisors: Comparing Counseling Center and Non-Counseling-Center Interns' Supervisory Training Experiences

ERIC Educational Resources Information Center

Crook-Lyon, Rachel E.; Presnell, Jennifer; Silva, Lynda; Suyama, Mich; Stickney, Janine

2011-01-01

Focusing on supervision training is important for a variety of reasons. Many professionals, for example, stress both the positive and negative impact supervisors have on the development of counselor trainees. In addition, counselors are likely to provide supervision during their professional career. Furthermore, the role of supervisor is often…

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…

Practicum Training for Teachers of Struggling Readers

ERIC Educational Resources Information Center

Morris, Darrell

2011-01-01

Teachers who work with struggling beginning readers need a supervised training experience that leads them to understand both how reading ability develops and how to adapt instruction to meet the needs of individual children. The practicum, in which a teacher works with one struggling reader under the supervision of an experienced and expert…

Proposed Guidelines for Operating Counselor Education and Supervision Training Clinics

ERIC Educational Resources Information Center

Lauka, Justin D.; McCarthy, Amanda K.

2013-01-01

The purpose of this article is to justify and present a set of guidelines for the effective and ethical administration of counselor education and supervision training clinics. Responding directly to a call for creating guidelines, the authors address core issues surrounding their development. Benefits for clear and accessible guidelines and risks…

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…

Supervisors' Experience of Resistance during Online Group Supervision: A Phenomenological Case Study

ERIC Educational Resources Information Center

Morton, James R., Jr.

2017-01-01

Leaders in higher education institutions throughout the United States regard distance learning as an important part of their long-term strategic planning (Allen & Seaman, 2015). Counselor education and supervision training programs are following this trend as demonstrated by the increase of online programs being offered to train professional…

Developing an instrument for assessing fidelity of motivational care planning: The Aboriginal and Islander Mental health initiative adherence scale.

PubMed

Prowse, Phuong-Tu; Nagel, Tricia

2014-01-01

The aim of this study was to design and trial an Adherence Scale to measure fidelity of Motivational Care Planning (MCP) within a clinical trial. This culturally adapted therapy MCP uses a client centered holistic approach that emphasises family and culture to motivate healthy life style changes. The Motivational Care Planning-Adherence Scale (MCP-AS) was developed through consultation with Aboriginal and Islander Mental Health Initiative (AIMhi) Indigenous and non-Indigenous trainers, and review of MCP training resources. The resultant ten-item scale incorporates a 9-Point Likert Scale with a supporting protocol manual and uses objective, behaviourally anchored criteria for each scale point. A fidelity assessor piloted the tool through analysis of four audio-recordings of MCP (conducted by Indigenous researchers within a study in remote communities in Northern Australia). File audits of the remote therapy sessions were utilised as an additional source of information. A Gold Standard Motivational Care Planning training video was also assessed using the MCP-AS. The Motivational Care Planning-Adherence Scale contains items measuring both process and content of therapy sessions. This scale was used successfully to assess therapy through observation of audio or video-recorded sessions and review of clinical notes. Treatment fidelity measured by the MCP-AS within the pilot study indicated high fidelity ratings. Ratings were high across the three domains of rapport, motivation, and self-management with especially high ratings for positive feedback and engagement, review of stressors and goal setting. The Motivational Care Planning-Adherence Scale has the potential to provide a measure of quality of delivery of Motivation Care Planning. The pilot findings suggest that despite challenges within the remote Indigenous community setting, Indigenous therapists delivered therapy that was of high fidelity. While developed as a research tool, the scale has the potential to support fidelity of delivery of Motivation Care Planning in clinical, supervision and training settings. Larger studies are needed to establish inter-rater reliability and internal and external validity.

Wellness Model of Supervision: A Comparative Analysis

ERIC Educational Resources Information Center

Lenz, A. Stephen; Sangganjanavanich, Varunee Faii; Balkin, Richard S.; Oliver, Marvarene; Smith, Robert L.

2012-01-01

This quasi-experimental study compared the effectiveness of the Wellness Model of Supervision (WELMS; Lenz & Smith, 2010) with alternative supervision models for developing wellness constructs, total personal wellness, and helping skills among counselors-in-training. Participants were 32 master's-level counseling students completing their…

Automated attribution of remotely-sensed ecological disturbances using spatial and temporal characteristics of common disturbance classes.

NASA Astrophysics Data System (ADS)

Cooper, L. A.; Ballantyne, A.

2017-12-01

Forest disturbances are critical components of ecosystems. Knowledge of their prevalence and impacts is necessary to accurately describe forest health and ecosystem services through time. While there are currently several methods available to identify and describe forest disturbances, especially those which occur in North America, the process remains inefficient and inaccessible in many parts of the world. Here, we introduce a preliminary approach to streamline and automate both the detection and attribution of forest disturbances. We use a combination of the Breaks for Additive Season and Trend (BFAST) detection algorithm to detect disturbances in combination with supervised and unsupervised classification algorithms to attribute the detections to disturbance classes. Both spatial and temporal disturbance characteristics are derived and utilized for the goal of automating the disturbance attribution process. The resulting preliminary algorithm is applied to up-scaled (100m) Landsat data for several different ecosystems in North America, with varying success. Our results indicate that supervised classification is more reliable than unsupervised classification, but that limited training data are required for a region. Future work will improve the algorithm through refining and validating at sites within North America before applying this approach globally.

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.

A Randomized Controlled Study of Mind-Body Skills Groups for Treatment of War-Zone Stress in Military and Veteran Populations

DTIC Science & Technology

2010-10-01

of meditation, guided imagery, and breathing techniques; self-expression through words, drawings and movement; autogenic training and biofeedback...facilitating the mind-body skills group intervention have co-facilitated groups under the supervision of the clinical director and are fully trained ...exclusion criteria by the research coordinator. 2. The clinical director will supervise the trained group leaders who will be facilitating the mind

Utilizing technological innovations to enhance psychotherapy supervision, training, and outcomes.

PubMed

Barnett, Jeffrey E

2011-06-01

Recent technological advances in the use of the Internet and video technologies has greatly impacted the provision of psychotherapy and other clinical services as well as how the training of psychotherapists may be conducted. When utilized appropriately these technologies may provide greater access to needed services to include treatment, consultation, supervision, and training. Specific ethical challenges and pitfalls are discussed and recommendations are made for the ethical use of these technologies. Additionally, innovative practices from the seven articles in the special section that follows are highlighted and reviewed. These articles present a number of innovations that can take psychotherapy training, research, supervision, and treatment forward toward increased effectiveness. Recommendations for integrating these innovations into ongoing practices are provided and for additional research to build on the important work of the authors in this special section are provided.

Training Older Siblings to be Better Supervisors: An RCT Evaluating the "Safe Sibs" Program.

PubMed

Schell, Stacey L; Morrongiello, Barbara A; Pogrebtsova, Ekaterina

2015-09-01

This study evaluated a new online training program, Safe Sibs, aimed at improving supervision knowledge and behaviors of sibling supervisors. Participants included older children (7-11 years) and their younger siblings (2-5 years). A randomized controlled trial design was used, with older siblings randomly assigned to either an intervention or wait-list control group. Before and after either the intervention or wait-list period, older siblings completed measures of supervision knowledge and their supervision behaviors were unobtrusively observed when with their younger sibling. Compared with the control group, the intervention group showed significant improvements in supervision knowledge (child development, knowledge of effective supervision practices, injury beliefs, intervention-specific knowledge) and in some aspects of supervision behavior (frequency of proactive safety behaviors to prevent supervisee access to injury hazards). Although adult supervision is ideal, this new program can support older children to become more knowledgeable and improved supervisors of younger ones. © The Author 2015. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

National survey of psychotherapy training in psychiatry, psychology, and social work.

PubMed

Weissman, Myrna M; Verdeli, Helen; Gameroff, Marc J; Bledsoe, Sarah E; Betts, Kathryn; Mufson, Laura; Fitterling, Heidi; Wickramaratne, Priya

2006-08-01

Approximately 3% of the US population receives psychotherapy each year from psychiatrists, psychologists, or social workers. A modest number of psychotherapies are evidence-based therapy (EBT) in that they have been defined in manuals and found efficacious in at least 2 controlled clinical trials with random assignment that include a control condition of psychotherapy, placebo, pill, or other treatment and samples of sufficient power with well-characterized patients. Few practitioners use EBT. To determine the amount of EBT taught in accredited training programs in psychiatry, psychology (PhD and PsyD), and social work and to note whether the training was elective or required and presented as a didactic (coursework) or clinical supervision. A cross-sectional survey of a probability sample of all accredited training programs in psychiatry, psychology, and social work in the United States. Responders included training directors (or their designates) from 221 programs (73 in psychiatry, 63 in PhD clinical psychology, 21 in PsyD psychology, and 64 in master's-level social work). The overall response rate was 73.7%. Main Outcome Measure Requiring both a didactic and clinical supervision in an EBT. Although programs offered electives in EBT and non-EBT, few required both a didactic and clinical supervision in EBT, and most required training was non-EBT. Psychiatry required coursework and clinical supervision in the largest percentage of EBT (28.1%). Cognitive behavioral therapy was the EBT most frequently offered and required as a didactic in all 3 disciplines. More than 90% of the psychiatry training programs were complying with the new cognitive behavior therapy requirement. The 2 disciplines with the largest number of students and emphasis on clinical training-professional clinical psychology (PsyD) and social work-had the largest percentage of programs (67.3% and 61.7%, respectively) not requiring a didactic and clinical supervision in any EBT. There is a considerable gap between research evidence for psychotherapy and clinical training. Until the training programs in the major disciplines providing psychotherapy increase training in EBT, the gap between research evidence and clinical practice will remain.

Supervision in Libraries.

ERIC Educational Resources Information Center

Bailey, Martha J.

Although the literature of library administration draws extensively on that of business management, it is difficult to compare library supervision to business or industrial supervision. Library supervisors often do not have managerial training and may consider their management role as secondary. The educational level of the staff they supervise…

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.

Building capacity in the rural physiotherapy workforce: a paediatric training partnership.

PubMed

Williams, E N; McMeeken, J M

2014-01-01

Building capacity in the rural physiotherapy workforce: a paediatric training partnership' provided 6 months postgraduate paediatric clinical and academic training for two physiotherapists in rural Australia. It is described as a model for improving services and workforce retention. The need for 'an appropriate, skilled and well-supported health workforce' is the third goal in Australia's National Strategic Framework for Rural and Remote Health 2011. The World Health Organization recently published its first global policy for improving the retention of rural and remote health workers. Education is its first recommendation and aims to 'design continuing education and professional development programmes that meet the needs of rural health workers and that are accessible from where they live and work, so as to support their retention …'. Additionally, '… to be successful, continuing education needs to be linked to career paths, as well as with other education interventions'. The problem is a lack of paediatric physiotherapy expertise in rural areas due to an absence of postgraduate clinical training opportunities in the rural workforce. The result is fragmented local services for families who are forced to travel to metropolitan services, costly in terms of both time and money. The aims were to improve local paediatric physiotherapy clinical services, provide physiotherapists additional access to professional development and subsequently provide a career path to retain these health professionals. Evaluation of the project used purpose-built questionnaires as there are no specific indicators to monitor the performance of systems and services that are available to children and families in Australia. The paediatric physiotherapy training program was enabled through initial funding for a 12-month pilot project. Further government funding built on that success for this reported 6-month project. Funding to employ the postgraduate physiotherapists was essential to the success of the clinical training program, and lack of future funding is a barrier to its sustainability. The program included the consolidation of the initial management and education committees and the expert reference group. Weekly tutorials, case studies and presentations formed an important part of clinical rotation between hospital outpatients, specialist school and the disability sector. This increased the provision of skilled paediatric physiotherapy services close to home in a timely fashion not previously available. Concurrently, the training increased the clinicians' paediatric knowledge and confidence, promoting workforce retention by providing a career pathway. The senior clinicians who provided clinical supervision reported that it enabled succession planning through introduction of appropriately skilled younger peers to their clinical practice. Project recommendations are that funding and stakeholder partnerships are necessary to enable health professionals to undertake postgraduate clinical training in paediatrics in rural areas. The partnership should include education providers (university), rural health service providers (hospital) and community or disability services (government and non-government) with financial recognition of expertise in the rural workforce for clinical supervision. The training experience was reported as a very positive experience from trainees, families, clinical supervisors, managers, academics and paediatricians. Lack of continued funding to educate skilled postgraduate paediatric physiotherapy clinicians means that rural children with physical disabilities will continue to be disadvantaged.

The dissemination of motivational interviewing in Swedish county councils: Results of a randomized controlled trial

PubMed Central

Forsberg, Lars; Lindqvist, Helena; Diez, Margarita; Enö Persson, Johanna; Ghaderi, Ata

2017-01-01

Objective A significant number of Swedish practitioners are offered workshop trainings in motivational interviewing through community-based implementation programs. The objective of this randomized controlled trial was to evaluate to what extent the practitioners acquire and retain skills from additional supervision consisting of feedback based on monitoring of practice. Materials and methods A total of 174 practitioners in five county councils across Sweden were randomized to one of the study's two groups: 1) Regular county council workshop training, 2) Regular county council workshop training followed by six sessions of supervision. The participant’s mean age was 43.3 years, and the majority were females (88.1%). Results Recruiting participants proved difficult, which may have led to a biased sample of practitioners highly motivated to learn the method. Although slightly different in form and content, all the workshop trainings increased the participants’ skills to the same level. Also, consistent with previous research, the additional supervision group showed larger gains in proficiency compared to the group who received workshop training only at the six-month follow-up. However, analyses showed generally maintained levels of skills for all the participants at the follow-up assessment, and the majority of participants did not attain beginning proficiency levels at either post-workshop or follow-up. Conclusions The results of this study address the real-life implications of dissemination of evidence-based practices. The maintained level of elevated skills for all participants is a promising finding. However, the low interest for obtaining additional supervision among the Swedish practitioners is problematic. In addition, neither the workshop trainings nor the additional supervision, although improving skills, were sufficient for most of the participants to reach beginning proficiency levels. This raises questions regarding the most efficient form of training to attain and sustain adequate practice standards, and how to create incentive and interest among practitioners to participate in such training. PMID:28750067

Computer-Based Counselor-in-Training Supervision: Ethical and Practical Implications for Counselor Educators and Supervisors

ERIC Educational Resources Information Center

Vaccaro, Nicole; Lambie, Glenn W.

2007-01-01

Computer-based clinical supervision of counselors-in-training is becoming more prevalent (M. Reisch & L. Jarman-Rohde, 2000); however, its use is still in its infancy, and ethical standards have not been established regarding its practice. There exists a dearth of literature focusing on the ethical practice and development of supervisees when…

Development and Evaluation of Ning Social Network for Teaching Training Online Surveillance

ERIC Educational Resources Information Center

Mohd Nawi, Mohd Aliff; Jamsari, Ezad Azraai; Sulaiman, Adibah; Hamzah, Mohd Isa

2013-01-01

Supervision of teaching practice is an important aspect of training teachers in improving their teaching skills. Barriers such as distance and time factor are the constraints faced by the lecturers at the National University of Malaysia to communicate with the teacher trainees under their supervision. Therefore, this study aims to develop and…

Supervised Home Training of Dialogue Skills in Chronic Aphasia: A Randomized Parallel Group Study

ERIC Educational Resources Information Center

Nobis-Bosch, Ruth; Springer, Luise; Radermacher, Irmgard; Huber, Walter

2011-01-01

Purpose: The aim of this study was to prove the efficacy of supervised self-training for individuals with aphasia. Linguistic and communicative performance in structured dialogues represented the main study parameters. Method: In a cross-over design for randomized matched pairs, 18 individuals with chronic aphasia were examined during 12 weeks of…

Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

PubMed

Nijenhuis, Sharon M; Prange, Gerdienke B; Amirabdollahian, Farshid; Sale, Patrizio; Infarinato, Francesco; Nasr, Nasrin; Mountain, Gail; Hermens, Hermie J; Stienen, Arno H A; Buurke, Jaap H; Rietman, Johan S

2015-10-09

Assistive and robotic training devices are increasingly used for rehabilitation of the hemiparetic arm after stroke, although applications for the wrist and hand are trailing behind. Furthermore, applying a training device in domestic settings may enable an increased training dose of functional arm and hand training. The objective of this study was to assess the feasibility and potential clinical changes associated with a technology-supported arm and hand training system at home for patients with chronic stroke. A dynamic wrist and hand orthosis was combined with a remotely monitored user interface with motivational gaming environment for self-administered training at home. Twenty-four chronic stroke patients with impaired arm/hand function were recruited to use the training system at home for six weeks. Evaluation of feasibility involved training duration, usability and motivation. Clinical outcomes on arm/hand function, activity and participation were assessed before and after six weeks of training and at two-month follow-up. Mean System Usability Scale score was 69 % (SD 17 %), mean Intrinsic Motivation Inventory score was 5.2 (SD 0.9) points, and mean training duration per week was 105 (SD 66) minutes. Median Fugl-Meyer score improved from 37 (IQR 30) pre-training to 41 (IQR 32) post-training and was sustained at two-month follow-up (40 (IQR 32)). The Stroke Impact Scale improved from 56.3 (SD 13.2) pre-training to 60.0 (SD 13.9) post-training, with a trend at follow-up (59.8 (SD 15.2)). No significant improvements were found on the Action Research Arm Test and Motor Activity Log. Remotely monitored post-stroke training at home applying gaming exercises while physically supporting the wrist and hand showed to be feasible: participants were able and motivated to use the training system independently at home. Usability shows potential, although several usability issues need further attention. Upper extremity function and quality of life improved after training, although dexterity did not. These findings indicate that home-based arm and hand training with physical support from a dynamic orthosis is a feasible tool to enable self-administered practice at home. Such an approach enables practice without dependence on therapist availability, allowing an increase in training dose with respect to treatment in supervised settings. This study has been registered at the Netherlands Trial Registry (NTR): NTR3669 .

In-situ trainable intrusion detection system

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

Symons, Christopher T.; Beaver, Justin M.; Gillen, Rob

A computer implemented method detects intrusions using a computer by analyzing network traffic. The method includes a semi-supervised learning module connected to a network node. The learning module uses labeled and unlabeled data to train a semi-supervised machine learning sensor. The method records events that include a feature set made up of unauthorized intrusions and benign computer requests. The method identifies at least some of the benign computer requests that occur during the recording of the events while treating the remainder of the data as unlabeled. The method trains the semi-supervised learning module at the network node in-situ, such thatmore » the semi-supervised learning modules may identify malicious traffic without relying on specific rules, signatures, or anomaly detection.« less

A Customized Attention-Based Long Short-Term Memory Network for Distant Supervised Relation Extraction.

PubMed

He, Dengchao; Zhang, Hongjun; Hao, Wenning; Zhang, Rui; Cheng, Kai

2017-07-01

Distant supervision, a widely applied approach in the field of relation extraction can automatically generate large amounts of labeled training corpus with minimal manual effort. However, the labeled training corpus may have many false-positive data, which would hurt the performance of relation extraction. Moreover, in traditional feature-based distant supervised approaches, extraction models adopt human design features with natural language processing. It may also cause poor performance. To address these two shortcomings, we propose a customized attention-based long short-term memory network. Our approach adopts word-level attention to achieve better data representation for relation extraction without manually designed features to perform distant supervision instead of fully supervised relation extraction, and it utilizes instance-level attention to tackle the problem of false-positive data. Experimental results demonstrate that our proposed approach is effective and achieves better performance than traditional methods.

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion.

PubMed

Fierimonte, Roberto; Scardapane, Simone; Uncini, Aurelio; Panella, Massimo

2016-08-26

Distributed learning refers to the problem of inferring a function when the training data are distributed among different nodes. While significant work has been done in the contexts of supervised and unsupervised learning, the intermediate case of Semi-supervised learning in the distributed setting has received less attention. In this paper, we propose an algorithm for this class of problems, by extending the framework of manifold regularization. The main component of the proposed algorithm consists of a fully distributed computation of the adjacency matrix of the training patterns. To this end, we propose a novel algorithm for low-rank distributed matrix completion, based on the framework of diffusion adaptation. Overall, the distributed Semi-supervised algorithm is efficient and scalable, and it can preserve privacy by the inclusion of flexible privacy-preserving mechanisms for similarity computation. The experimental results and comparison on a wide range of standard Semi-supervised benchmarks validate our proposal.

Towards automatic lithological classification from remote sensing data using support vector machines

NASA Astrophysics Data System (ADS)

Yu, Le; Porwal, Alok; Holden, Eun-Jung; Dentith, Michael

2010-05-01

Remote sensing data can be effectively used as a mean to build geological knowledge for poorly mapped terrains. Spectral remote sensing data from space- and air-borne sensors have been widely used to geological mapping, especially in areas of high outcrop density in arid regions. However, spectral remote sensing information by itself cannot be efficiently used for a comprehensive lithological classification of an area due to (1) diagnostic spectral response of a rock within an image pixel is conditioned by several factors including the atmospheric effects, spectral and spatial resolution of the image, sub-pixel level heterogeneity in chemical and mineralogical composition of the rock, presence of soil and vegetation cover; (2) only surface information and is therefore highly sensitive to the noise due to weathering, soil cover, and vegetation. Consequently, for efficient lithological classification, spectral remote sensing data needs to be supplemented with other remote sensing datasets that provide geomorphological and subsurface geological information, such as digital topographic model (DEM) and aeromagnetic data. Each of the datasets contain significant information about geology that, in conjunction, can potentially be used for automated lithological classification using supervised machine learning algorithms. In this study, support vector machine (SVM), which is a kernel-based supervised learning method, was applied to automated lithological classification of a study area in northwestern India using remote sensing data, namely, ASTER, DEM and aeromagnetic data. Several digital image processing techniques were used to produce derivative datasets that contained enhanced information relevant to lithological discrimination. A series of SVMs (trained using k-folder cross-validation with grid search) were tested using various combinations of input datasets selected from among 50 datasets including the original 14 ASTER bands and 36 derivative datasets (including 14 principal component bands, 14 independent component bands, 3 band ratios, 3 DEM derivatives: slope/curvatureroughness and 2 aeromagnetic derivatives: mean and variance of susceptibility) extracted from the ASTER, DEM and aeromagnetic data, in order to determine the optimal inputs that provide the highest classification accuracy. It was found that a combination of ASTER-derived independent components, principal components and band ratios, DEM-derived slope, curvature and roughness, and aeromagnetic-derived mean and variance of magnetic susceptibility provide the highest classification accuracy of 93.4% on independent test samples. A comparison of the classification results of the SVM with those of maximum likelihood (84.9%) and minimum distance (38.4%) classifiers clearly show that the SVM algorithm returns much higher classification accuracy. Therefore, the SVM method can be used to produce quick and reliable geological maps from scarce geological information, which is still the case with many under-developed frontier regions of the world.

BRESEX: On board supervision, basic architecture and preliminary aspects for payload and space shuttle interface

NASA Technical Reports Server (NTRS)

Bergamini, E. W.; Depaula, A. R., Jr.; Martins, R. C. D. O.

1984-01-01

Data relative to the on board supervision subsystem are presented which were considered in a conference between INPE and NASA personnel, with the purpose of initiating a joint effort leading to the implementation of the Brazilian remote sensing experiment - (BRESEX). The BRESEX should consist, basically, of a multispectral camera for Earth observation, to be tested in a future space shuttle flight.

Remote Sensing Application to Land Use Classification in a Rapidly Changing Agricultural/Urban Area: City of Virginia Beach, Virginia. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Odenyo, V. A. O.

1975-01-01

Remote sensing data on computer-compatible tapes of LANDSAT 1 multispectral scanner imager were analyzed to generate a land use map of the City of Virginia Beach. All four bands were used in both the supervised and unsupervised approaches with the LAYSYS software system. Color IR imagery of a U-2 flight of the same area was also digitized and two sample areas were analyzed via the unsupervised approach. The relationships between the mapped land use and the soils of the area were investigated. A land use land cover map at a scale of 1:24,000 was obtained from the supervised analysis of LANDSAT 1 data. It was concluded that machine analysis of remote sensing data to produce land use maps was feasible; that the LAYSYS software system was usable for this purpose; and that the machine analysis was capable of extracting detailed information from the relatively small scale LANDSAT data in a much shorter time without compromising accuracy.

The Electronic Enhancement of Supervision Project (EESP).

ERIC Educational Resources Information Center

Shea, Catherine; Babione, Carolyn

To address the shortage of special education teachers in rural areas, Indiana University Southeast designed the Electronic Enhancement of Supervision Project (EESP) to integrate technology with supervision training of special education teachers. The goal of EESP is to strengthen the supply and quality of special education teachers through better…

Clinical Supervision of International Supervisees: Suggestions for Multicultural Supervision

ERIC Educational Resources Information Center

Lee, Ahram

2018-01-01

An increase of international students in various settings has been noted in a range of disciplines including counseling and other mental health professions. The author examined the literature on international counseling students related to their experiences in counseling training, particularly in supervision. From the counseling literature, five…

Students' Perceptions of a "Quality" Advisory Relationship

ERIC Educational Resources Information Center

Halbert, Kelsey

2015-01-01

The current research education context in Australia is one of increased pressures for timely completion with a spotlight on the scope and depth of training and a profound increase in enrolments. These factors inevitably shape the supervision experiences of doctoral candidates. This paper discusses student perceptions of supervision. Supervision is…

Cliché, Gossip, and Anecdote as Supervision Training

ERIC Educational Resources Information Center

Grealy, Liam

2016-01-01

This article expands on a co-authored project with Timothy Laurie on the practices and ethics of higher degree research (HDR) supervision (or advising): "What does good HDR supervision look like?" in contemporary universities. It connects that project with scholarship on the relevance of "common sense" to questions of…

46 CFR 199.100 - Manning of survival craft and supervision.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 46 Shipping 7 2011-10-01 2011-10-01 false Manning of survival craft and supervision. 199.100 Section 199.100 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LIFESAVING APPLIANCES....100 Manning of survival craft and supervision. (a) There must be a sufficient number of trained...

46 CFR 199.100 - Manning of survival craft and supervision.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 46 Shipping 7 2013-10-01 2013-10-01 false Manning of survival craft and supervision. 199.100 Section 199.100 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LIFESAVING APPLIANCES....100 Manning of survival craft and supervision. (a) There must be a sufficient number of trained...

46 CFR 199.100 - Manning of survival craft and supervision.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 46 Shipping 7 2012-10-01 2012-10-01 false Manning of survival craft and supervision. 199.100 Section 199.100 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LIFESAVING APPLIANCES....100 Manning of survival craft and supervision. (a) There must be a sufficient number of trained...

46 CFR 199.100 - Manning of survival craft and supervision.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 7 2014-10-01 2014-10-01 false Manning of survival craft and supervision. 199.100 Section 199.100 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LIFESAVING APPLIANCES....100 Manning of survival craft and supervision. (a) There must be a sufficient number of trained...

Clinical supervision in the 21st century: revisiting pressing needs and impressing possibilities.

PubMed

Watkins, C Edward

2014-01-01

What are some of the most pressing needs currently confronting clinical supervision? In this paper, I give attention to that question. Drawing on two 1990 reviews for comparative purposes, I examine where supervision is now relative to four areas: (a) supervision training and practice; (b) measurement; (c) difference and diversity; and (d) research. Lines of advance, pressing needs, and potential remedies are considered across each area. Effort is made to accentuate the "robustly international" nature of clinical supervision and its increasing globalization.

Nutrition Risk in Home-Bound Older Adults: Using Dietician-Trained and Supervised Nutrition Volunteers for Screening and Intervention

ERIC Educational Resources Information Center

Laforest, Sophie; Goldin, Benita; Nour, Kareen; Roy, Marie-Andree; Payette, Helene

2007-01-01

Nutrition screening and early intervention in home-bound older adults are key to preventing unfavourable health outcomes and functional decline. This pilot study's objectives were (a) to test the reliability of the Elderly Nutrition Screening Tool (ENS [C]) when administered by dietician-trained and supervised nutrition volunteers, and (b) to…

The Developmental Model of Supervision as Reflected in the Experiences of Field Supervisors and Graduate Students

ERIC Educational Resources Information Center

Everett, Joyce E.; Miehls, Dennis; DuBois, Carolyn; Garran, Ann Marie

2011-01-01

Schools of social work invest an enormous amount of time and money training new field instructors to ensure their ability to help students integrate the knowledge, skill, and values of the profession. Some schools, like the one described here, frame their training in the context of a developmental model of supervision. Such models presume that…

Electronic Assessment and Feedback Tool in Supervision of Nursing Students during Clinical Training

ERIC Educational Resources Information Center

Mettiäinen, Sari

2015-01-01

The aim of this study was to determine nursing teachers' and students' attitudes to and experiences of using an electronic assessment and feedback tool in supervision of clinical training. The tool was called eTaitava, and it was developed in Finland. During the pilot project, the software was used by 12 nursing teachers and 430 nursing students.…

Semi-supervised anomaly detection - towards model-independent searches of new physics

NASA Astrophysics Data System (ADS)

Kuusela, Mikael; Vatanen, Tommi; Malmi, Eric; Raiko, Tapani; Aaltonen, Timo; Nagai, Yoshikazu

2012-06-01

Most classification algorithms used in high energy physics fall under the category of supervised machine learning. Such methods require a training set containing both signal and background events and are prone to classification errors should this training data be systematically inaccurate for example due to the assumed MC model. To complement such model-dependent searches, we propose an algorithm based on semi-supervised anomaly detection techniques, which does not require a MC training sample for the signal data. We first model the background using a multivariate Gaussian mixture model. We then search for deviations from this model by fitting to the observations a mixture of the background model and a number of additional Gaussians. This allows us to perform pattern recognition of any anomalous excess over the background. We show by a comparison to neural network classifiers that such an approach is a lot more robust against misspecification of the signal MC than supervised classification. In cases where there is an unexpected signal, a neural network might fail to correctly identify it, while anomaly detection does not suffer from such a limitation. On the other hand, when there are no systematic errors in the training data, both methods perform comparably.

The knowledge and attitudes of orthodontic trainees towards orthodontic therapists: a national survey.

PubMed

Patel, Sameer; Mack, Gavin

2017-09-01

To assess the knowledge and attitudes of orthodontic trainees towards orthodontic therapists (OTs) in the UK. Cross-sectional survey. UK-based orthodontic trainees. An electronic survey was sent to all members of the Training Grades Group of the British Orthodontic Society assessing exposure to OTs and their knowledge regarding current supervision guidelines and scope of practice. Attitudes towards OTs were also explored. Seventy-six responses (response rate 57%) were returned. Nearly 90% of trainees had no formal training regarding OTs. A total of 15.5% were aware of the correct current supervision guidelines and there was large variation in the knowledge of OTs' scope of practice. The majority of trainees were happy to supervise OTs, but only 22.4% felt prepared for this during training. In total, 63% of trainees felt that OTs could impact their own future job prospects. Currently, there is minimal formal training provided to trainees regarding the role of OTs. This is reflected in the lack of knowledge regarding supervision guidelines and scope of practice. Overall, trainees felt OTs were positive for the workforce but were concerned regarding the impact of their own future employment.

Malaria community health workers in Myanmar: a cost analysis.

PubMed

Kyaw, Shwe Sin; Drake, Tom; Thi, Aung; Kyaw, Myat Phone; Hlaing, Thaung; Smithuis, Frank M; White, Lisa J; Lubell, Yoel

2016-01-25

Myanmar has the highest malaria incidence and attributed mortality in South East Asia with limited healthcare infrastructure to manage this burden. Establishing malaria Community Health Worker (CHW) programmes is one possible strategy to improve access to malaria diagnosis and treatment, particularly in remote areas. Despite considerable donor support for implementing CHW programmes in Myanmar, the cost implications are not well understood. An ingredients based micro-costing approach was used to develop a model of the annual implementation cost of malaria CHWs in Myanmar. A cost model was constructed based on activity centres comprising of training, patient malaria services, monitoring and supervision, programme management, overheads and incentives. The model takes a provider perspective. Financial data on CHWs programmes were obtained from the 2013 financial reports of the Three Millennium Development Goal fund implementing partners that have been working on malaria control and elimination in Myanmar. Sensitivity and scenario analyses were undertaken to outline parameter uncertainty and explore changes to programme cost for key assumptions. The range of total annual costs for the support of one CHW was US$ 966-2486. The largest driver of CHW cost was monitoring and supervision (31-60% of annual CHW cost). Other important determinants of cost included programme management (15-28% of annual CHW cost) and patient services (6-12% of annual CHW cost). Within patient services, malaria rapid diagnostic tests are the major contributor to cost (64% of patient service costs). The annual cost of a malaria CHW in Myanmar varies considerably depending on the context and the design of the programme, in particular remoteness and the approach to monitoring and evaluation. The estimates provide information to policy makers and CHW programme planners in Myanmar as well as supporting economic evaluations of their cost-effectiveness.

A Supervised Approach to Windowing Detection on Dynamic Networks

DTIC Science & Technology

2017-07-01

A supervised approach to windowing detection on dynamic networks Benjamin Fish University of Illinois at Chicago 1200 W. Harrison St. Chicago...Using this framework, we introduce windowing algorithms that take a supervised approach : they leverage ground truth on training data to find a good...windowing of the test data. We compare the supervised approach to previous approaches and several baselines on real data. ACM Reference format: Benjamin

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.

Cross-Domain Semi-Supervised Learning Using Feature Formulation.

PubMed

Xingquan Zhu

2011-12-01

Semi-Supervised Learning (SSL) traditionally makes use of unlabeled samples by including them into the training set through an automated labeling process. Such a primitive Semi-Supervised Learning (pSSL) approach suffers from a number of disadvantages including false labeling and incapable of utilizing out-of-domain samples. In this paper, we propose a formative Semi-Supervised Learning (fSSL) framework which explores hidden features between labeled and unlabeled samples to achieve semi-supervised learning. fSSL regards that both labeled and unlabeled samples are generated from some hidden concepts with labeling information partially observable for some samples. The key of the fSSL is to recover the hidden concepts, and take them as new features to link labeled and unlabeled samples for semi-supervised learning. Because unlabeled samples are only used to generate new features, but not to be explicitly included in the training set like pSSL does, fSSL overcomes the inherent disadvantages of the traditional pSSL methods, especially for samples not within the same domain as the labeled instances. Experimental results and comparisons demonstrate that fSSL significantly outperforms pSSL-based methods for both within-domain and cross-domain semi-supervised learning.

[Feedback on the training and supervision of student nurses].

PubMed

Papas, Anne; Bourgois, Monique

2015-03-01

In order to harmonise the supervision of student nurses in the different departments of the same unit, a Parisian hospital team has created a working group. An IT tool for supervising the students to be used by the whole unit is also under development. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

A Study of Clinical Supervision Techniques and Training in Substance Abuse Treatment

ERIC Educational Resources Information Center

West, Paul L.; Hamm, Terri

2012-01-01

Data from 57 clinical supervisors in licensed substance abuse treatment programs indicate that 28% had completed formal graduate course work in clinical supervision and 33% were professionally licensed or certified. Findings raise concerns about the scope and quality of clinical supervision available to substance abuse counselors. (Contains 3…

Clinical Supervision in Alcohol and Drug Abuse Counseling: Principles, Models, Methods.

ERIC Educational Resources Information Center

Powell, David J.

A case is made for professionalism in clinical training as substance abuse counseling becomes a unique field. Part 1, "Principles," includes: (1) "A Historical Review of Supervision"; (2) "A Working Definition of Supervision"; (3) "Leadership Principles for Supervisors" and; (4) "Traits of an Effective Clinical Supervisor." Part 2, "Models,"…

Professional School Counselors' Burnout, Coping and Supervision Frequency, Type and Alliance

ERIC Educational Resources Information Center

Lawrence, Yolanda Joy

2017-01-01

Despite shared training, ethical practice guidelines and values, Professional School Counselors (PSCs) are less likely to receive clinical supervision than their mental health counterparts in other settings. School counselors are more likely to be supervised by Administrators, many of whom have never worked in a counseling related field. As a…

Measuring Process Elements in Reflective Supervision: An Instrument in the Making

ERIC Educational Resources Information Center

Finello, Karen Moran; Heffron, Mary Claire; Stroud, Barbara

2016-01-01

Reflective supervision is increasingly mandated in evidence-based infant and early childhood programs and is, therefore, experiencing rapid expansion across the United States. The growing interest in reflective supervision has led to new questions about how to train, support, and gauge the competency of supervisors who are supporting and educating…

Supervision to Enhance Educational and Vocational Guidance Practice: A Review

ERIC Educational Resources Information Center

Reid, Hazel L.

2010-01-01

Supervision to support the work of career practitioners is evident in many countries, but is not universal. This author presents a literature review, intending to emphasise the prime importance of developing supervision for guidance work. The author also considers the issues facing those training to develop the role of supervisors in southeast…

Pelvic floor muscle exercises utilizing trunk stabilization for treating postpartum urinary incontinence: randomized controlled pilot trial of supervised versus unsupervised training.

PubMed

Kim, Eun-Young; Kim, Suhn-Yeop; Oh, Duck-Won

2012-02-01

To investigate the effect of supervised and unsupervised pelvic floor muscle exercises utilizing trunk stabilization for treating postpartum urinary incontinence and to compare the outcomes. Randomized, single-blind controlled study. Outpatient rehabilitation hospital. Eighteen subjects with postpartum urinary incontinence. Subjects were randomized to either a supervised training group with verbal instruction from a physiotherapist, or an unsupervised training group after undergoing a supervised demonstration session. Bristol Female Lower Urinary Tract Symptom questionnaire (urinary symptoms and quality of life) and vaginal function test (maximal vaginal squeeze pressure and holding time) using a perineometer. The change values for urinary symptoms (-27.22 ± 6.20 versus -18.22 ± 5.49), quality of life (-5.33 ± 2.96 versus -1.78 ± 3.93), total score (-32.56 ± 8.17 versus -20.00 ± 6.67), maximal vaginal squeeze pressure (18.96 ± 9.08 versus 2.67 ± 3.64 mmHg), and holding time (11.32 ± 3.17 versus 5.72 ± 2.29 seconds) were more improved in the supervised group than in the unsupervised group (P < 0.05). In the supervised group, significant differences were found for all variables between pre- and post-test values (P < 0.01), whereas the unsupervised group showed significant differences for urinary symptom score, total score and holding time between the pre- and post-test results (P < 0.05). These findings suggest that exercising the pelvic floor muscles by utilizing trunk stabilization under physiotherapist supervision may be beneficial for the management of postpartum urinary incontinence.

[The effect of supervised rehabilitation on ankle joint function and the risk of recurrence after acute ankle distortion].

PubMed

Barkler, E H; Magnusson, S P; Becher, K; Bieler, T; Aagaard, P; Kjaer, M; Saugbjerg, P A

2001-06-04

The effect of an early rehabilitation programme, including postural training, on ankle joint function after an ankle ligament sprain was investigated prospectively. Ninety-two subjects, matched for age, sex, and level of sports activity, were randomised to a control or training group. All subjects received the same standard information about early ankle mobilisation. In addition, the training group participated in supervised physical therapy rehabilitation (one hour, twice weekly) with emphasis on balance training. Postural sway, position sense, and isometric ankle strength were measured six weeks and four months after the injury, and at 12 months data on re-injury were collected. In both the training group and the control group, there were a significant difference between the injured and the uninjured side for all variables except for position sense at six weeks. The side-to-side differences in per cent were similar for both groups for all variables (p > 0.05) at six weeks, and there were no such differences at four months. Re-injury occurred in 11/38 (29%) is the control group, but in only 2/29 (7%) in the training group (p < 0.05). These data showed that an ankle injury led to reduced ankle strength and postural control at six weeks, but that these variables had become normal at four months, irrespective of supervised rehabilitation. However, the findings also showed that supervised rehabilitation may reduce the number of re-injuries, and may therefore play a role in injury prevention.

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…

Earth Observation Research for GMES Initial Operations

NASA Astrophysics Data System (ADS)

van Beijma, Sybrand; Balzter, Heiko; Nicolas-Perea, Virginia

2013-04-01

GMES Initial Operations - Network for Earth Observation Research Training (GIONET) is a Marie Curie funded project that aims to establish the first of a kind European Centre of Excellence for Earth Observation Research Training. GIONET is a partnership of leading Universities, research institutes and private companies from across Europe aiming to cultivate a community of early stage researchers in the areas of optical and radar remote sensing skilled for the emerging GMES land monitoring services during the GMES Initial Operations period (2011-2013) and beyond. GIONET is expected to satisfy the demand for highly skilled researchers and provide personnel for operational phase of the GMES and monitoring and emergency services. It will achieve this by: * Providing postgraduate training in Earth Observation Science that exposes students to different research disciplines and complementary skills, providing work experiences in the private and academic sectors, and leading to a recognized qualification (Doctorate). * Enabling access to first class training in both fundamental and applied research skills to early-stage researchers at world-class academic centres and market leaders in the private sector. * Building on the experience from previous GMES research and development projects in the land monitoring and emergency information services. * Developing a collaborative training network, through the placement of researchers for short periods in other GIONET organizations. Reliable, thorough and up-to-date environmental information is essential for understanding climate change the impacts it has on people's lives and ways to adapt to them. The GIONET researchers are being trained to understand the complex physical processes that determine how electromagnetic radiation interacts with the atmosphere and the land surface ultimately form the signal received by a satellite. In order to achieve this, the researchers have been placed in industry and universities across Europe, as well as receiving the best technical training and scientific education. This training is currently being delivered through individually supervised research, international summer schools and local training. GIONET will develop better methods for monitoring climate change, environmental disasters and land cover change. It will also lead to the development of new methods using satellite monitoring for disaster relief after landslides and floods, controlling deforestation and overseeing the protection of tropical rainforests, as well as for climate change monitoring, lake water quality measurement and coastal erosion assessment. The training program through supervised research focuses on 14 research topics (each carried out by an Early Stage Researchers based in one of the partner organization) divided in 5 main areas: * Forest monitoring: o Global biomass information systems o Forest monitoring of the Congo Basin using Synthetic Aperture Radar (SAR) o Multi-concept Earth Observation capabilities for biomass mapping and change detection: synergy of multi-temporal and multi-frequency interferometric radar and optical satellite data * Land cover and change: o Multi-scale remote sensing synergy for land process studies: from field spectrometry to airborne hyperspectral and LiDAR campaigns to radar-optical satellite data o Multi-temporal, multi-frequency SAR for landscape dynamics * Coastal zone and freshwater monitoring: o SAR-based Earth Observation in support of management of intertidal salt marsh habitats o Dynamics and conservation ecology of emergent and submerged macrophytes in Lake Balaton using airborne remote sensing o Satellite remote sensing of water quality (chlorophyll and suspended sediment) using MODIS and ship-mounted LIDAR * Geohazards and emergency response: o Methods for detection and monitoring of small scale land surface feature changes in complex crisis situations o Monitoring landslide displacements with Radar Interferometry o DINSAR/PSI hybrid methodologies for ground-motion monitoring * Climate adaptation and emergency response: o Earth Observation based analysis of regional impact of climate change induced water stress patterns fuelling human crisis and conflict situations in semi dry climate regimes o Satellite derived information for drought detection and estimation of the water balance GIONET will also cover methodologies including (i) modelling fundamental radiative processes determining the satellite signal, (ii) atmospheric correction and calibration, (iii) processing higher-order data products, (iii) developing information products from satellite data to meet user requirements, and (iv) statistical methods for assessing the quality and accuracy of data products. These methodologies will enable the researchers to develop careers in the evolving GMES (renamed to Copernicus) Services, network with the GMES community and contribute to rolling out the GMES Program. Communication skills and effective engagement with stakeholders and the public will form an integral part of the training. The Earth Observation methods developed in GIONET will benefit the economy in Europe.

Unsupervised daily routine and activity discovery in smart homes.

PubMed

Jie Yin; Qing Zhang; Karunanithi, Mohan

2015-08-01

The ability to accurately recognize daily activities of residents is a core premise of smart homes to assist with remote health monitoring. Most of the existing methods rely on a supervised model trained from a preselected and manually labeled set of activities, which are often time-consuming and costly to obtain in practice. In contrast, this paper presents an unsupervised method for discovering daily routines and activities for smart home residents. Our proposed method first uses a Markov chain to model a resident's locomotion patterns at different times of day and discover clusters of daily routines at the macro level. For each routine cluster, it then drills down to further discover room-level activities at the micro level. The automatic identification of daily routines and activities is useful for understanding indicators of functional decline of elderly people and suggesting timely interventions.

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

NASA Astrophysics Data System (ADS)

Cao, Xiangyong; Zhou, Feng; Xu, Lin; Meng, Deyu; Xu, Zongben; Paisley, John

2018-05-01

This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework. First, we formulate the HSI classification problem from a Bayesian perspective. Then, we adopt a convolutional neural network (CNN) to learn the posterior class distributions using a patch-wise training strategy to better use the spatial information. Next, spatial information is further considered by placing a spatial smoothness prior on the labels. Finally, we iteratively update the CNN parameters using stochastic gradient decent (SGD) and update the class labels of all pixel vectors using an alpha-expansion min-cut-based algorithm. Compared with other state-of-the-art methods, the proposed classification method achieves better performance on one synthetic dataset and two benchmark HSI datasets in a number of experimental settings.

An analysis of the delivery of anaesthetic training sessions in the United Kingdom.

PubMed

Green, A; Tatham, K C; Yentis, S M; Wilson, J; Cox, M

2017-11-01

We analysed data from the electronic rota system CLWRota, covering 2,689,962 anaesthetic sessions between 01/01/2014 and 31/12/2015, in 91 UK Trusts, in order to investigate trainees' supervision. There were 8209 trainee attachments analysed, during which 618,695 sessions were undertaken by trainees. The number of supervised sessions per week that trainees worked varied considerably (median (IQR [range]) 2.6 (1.6-3.6 [0-10]) for all grades combined), with senior trainees more likely than junior trainees to be supervised for fewer than the three sessions per week mandated by the Royal College of Anaesthetists. The number of supervised sessions was unrelated to Trusts' size, suggesting that trainees in smaller hospitals receive the same level of supervision as in larger teaching hospitals. Analysis of a dataset of this size should be a good reflection of the delivery of anaesthesia training in the UK. © 2017 The Association of Anaesthetists of Great Britain and Ireland.

The Utility of Teleultrasound to Guide Acute Patient Management.

PubMed

Becker, Christian; Fusaro, Mario; Patel, Dhruv; Shalom, Isaac; Frishman, William H; Scurlock, Corey

Ultrasound has evolved into a core bedside tool for diagnostic and management purposes for all subsets of adult and pediatric critically-ill patients. Teleintensive care unit coverage has undergone a similar rapid expansion period throughout the United States. Round-the-clock access to ultrasound equipment is very common in today's intensive care unit, but 24/7 coverage with staff trained to acquire and interpret point-of-care ultrasound in real time is lagging behind equipment availability. Medical trainees and physician extenders require attending level supervision to ensure consistent image acquisition and accurate interpretation. Teleintensivists can extend the utility of ultrasound by supervising and guiding providers without or with only partial training in ultrasound, and also by extending direct trainee ultrasound supervision to time periods when no direct bedside attending supervisor is available, and when treatment decisions otherwise would have been made without supervision and feedback on image acquisition and interpretation. Nursing staff without ultrasound training can also be directed to perform basic ultrasound exams, which may have immediate diagnostic and/or treatment consequences, thereby overcoming access barriers in the absence of physicians or physician extenders. We discuss 4 real-life clinical scenarios in which teleintensivist supervision extended and standardized bedside ultrasound exams to guide management decisions which significantly impacted patient outcomes.

(abstract) An Ada Language Modular Telerobot Task Execution System

NASA Technical Reports Server (NTRS)

Backes, Paul; Long, Mark; Steele, Robert

1993-01-01

A telerobotic task execution system is described which has been developed for space flight applications. The Modular Telerobot Task Execution System (MOTES) provides the remote site task execution capability in a local-remote telerobotic system. The system provides supervised autonomous control, shared control, and teleoperation for a redundant manipulator. The system is capable of nominal task execution as well as monitoring and reflex motion.

Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation

NASA Astrophysics Data System (ADS)

Ibragimov, Bulat; Likar, Boštjan; Pernuš, Franjo; Vrtovec, Tomaž

2015-03-01

During the last couple of decades, the development of computerized image segmentation shifted from unsupervised to supervised methods, which made segmentation results more accurate and robust. However, the main disadvantage of supervised segmentation is a need for manual image annotation that is time-consuming and subjected to human error. To reduce the need for manual annotation, we propose a novel learning approach for training dataset reinforcement in the area of landmark-based segmentation, where newly detected landmarks are optimally combined with reference landmarks from the training dataset and therefore enriches the training process. The approach is formulated as a nonlinear optimization problem, where the solution is a vector of weighting factors that measures how reliable are the detected landmarks. The detected landmarks that are found to be more reliable are included into the training procedure with higher weighting factors, whereas the detected landmarks that are found to be less reliable are included with lower weighting factors. The approach is integrated into the landmark-based game-theoretic segmentation framework and validated against the problem of lung field segmentation from chest radiographs.

Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

PubMed

Jiang, Yizhang; Wu, Dongrui; Deng, Zhaohong; Qian, Pengjiang; Wang, Jun; Wang, Guanjin; Chung, Fu-Lai; Choi, Kup-Sze; Wang, Shitong

2017-12-01

Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the classification accuracy is usually not satisfactory for two main reasons: the distributions of the data used for training and testing may be different, and the amount of training data may not be enough. In addition, most machine learning approaches generate black-box models that are difficult to interpret. In this paper, we integrate transductive transfer learning, semi-supervised learning and TSK fuzzy system to tackle these three problems. More specifically, we use transfer learning to reduce the discrepancy in data distribution between the training and testing data, employ semi-supervised learning to use the unlabeled testing data to remedy the shortage of training data, and adopt TSK fuzzy system to increase model interpretability. Two learning algorithms are proposed to train the system. Our experimental results show that the proposed approaches can achieve better performance than many state-of-the-art seizure classification algorithms.

The Intern's Experience as Supervisor: Managing Resistance, Identification, and Countertransference While Feeling Insecure

ERIC Educational Resources Information Center

DiMino, John L.; Risler, Robin

2014-01-01

This article focuses on the experiences of predoctoral interns supervising the clinical work of less experienced externs in psychology and social work as part of a training program in a large university counseling center. After 4 years of running a relationally based supervision of supervision group, the authors believe that providing supervision…

The Importance and Benefits of Supervision in Youth Work Practice

ERIC Educational Resources Information Center

Jenkinson, Hilary

2009-01-01

This article explores the concept of supervision and its implementation within a youth work context. The article describes and explores a process of staff development facilitated by the author which involved providing supervision training to a group of youth work practitioners at Cork YMCA in Ireland and continuing to meet them on a monthly basis…

(Machine) learning to do more with less

NASA Astrophysics Data System (ADS)

Cohen, Timothy; Freytsis, Marat; Ostdiek, Bryan

2018-02-01

Determining the best method for training a machine learning algorithm is critical to maximizing its ability to classify data. In this paper, we compare the standard "fully supervised" approach (which relies on knowledge of event-by-event truth-level labels) with a recent proposal that instead utilizes class ratios as the only discriminating information provided during training. This so-called "weakly supervised" technique has access to less information than the fully supervised method and yet is still able to yield impressive discriminating power. In addition, weak supervision seems particularly well suited to particle physics since quantum mechanics is incompatible with the notion of mapping an individual event onto any single Feynman diagram. We examine the technique in detail — both analytically and numerically — with a focus on the robustness to issues of mischaracterizing the training samples. Weakly supervised networks turn out to be remarkably insensitive to a class of systematic mismodeling. Furthermore, we demonstrate that the event level outputs for weakly versus fully supervised networks are probing different kinematics, even though the numerical quality metrics are essentially identical. This implies that it should be possible to improve the overall classification ability by combining the output from the two types of networks. For concreteness, we apply this technology to a signature of beyond the Standard Model physics to demonstrate that all these impressive features continue to hold in a scenario of relevance to the LHC. Example code is provided on GitHub.

Semi-supervised SVM for individual tree crown species classification

NASA Astrophysics Data System (ADS)

Dalponte, Michele; Ene, Liviu Theodor; Marconcini, Mattia; Gobakken, Terje; Næsset, Erik

2015-12-01

In this paper a novel semi-supervised SVM classifier is presented, specifically developed for tree species classification at individual tree crown (ITC) level. In ITC tree species classification, all the pixels belonging to an ITC should have the same label. This assumption is used in the learning of the proposed semi-supervised SVM classifier (ITC-S3VM). This method exploits the information contained in the unlabeled ITC samples in order to improve the classification accuracy of a standard SVM. The ITC-S3VM method can be easily implemented using freely available software libraries. The datasets used in this study include hyperspectral imagery and laser scanning data acquired over two boreal forest areas characterized by the presence of three information classes (Pine, Spruce, and Broadleaves). The experimental results quantify the effectiveness of the proposed approach, which provides classification accuracies significantly higher (from 2% to above 27%) than those obtained by the standard supervised SVM and by a state-of-the-art semi-supervised SVM (S3VM). Particularly, by reducing the number of training samples (i.e. from 100% to 25%, and from 100% to 5% for the two datasets, respectively) the proposed method still exhibits results comparable to the ones of a supervised SVM trained with the full available training set. This property of the method makes it particularly suitable for practical forest inventory applications in which collection of in situ information can be very expensive both in terms of cost and time.

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.

The DSFPN, a new neural network for optical character recognition.

PubMed

Morns, L P; Dlay, S S

1999-01-01

A new type of neural network for recognition tasks is presented in this paper. The network, called the dynamic supervised forward-propagation network (DSFPN), is based on the forward only version of the counterpropagation network (CPN). The DSFPN, trains using a supervised algorithm and can grow dynamically during training, allowing subclasses in the training data to be learnt in an unsupervised manner. It is shown to train in times comparable to the CPN while giving better classification accuracies than the popular backpropagation network. Both Fourier descriptors and wavelet descriptors are used for image preprocessing and the wavelets are proven to give a far better performance.

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.

The effectiveness of Technology-assisted Cascade Training and Supervision of community health workers in delivering the Thinking Healthy Program for perinatal depression in a post-conflict area of Pakistan - study protocol for a randomized controlled trial.

PubMed

Zafar, Shamsa; Sikander, Siham; Hamdani, Syed Usman; Atif, Najia; Akhtar, Parveen; Nazir, Huma; Maselko, Joanna; Rahman, Atif

2016-04-06

Rates of perinatal depression in low and middle income countries are reported to be very high. Perinatal depression not only has profound impact on women's health, disability and functioning, it is associated with poor child health outcomes such as pre-term birth, under-nutrition and stunting, which ultimately have an adverse trans-generational impact. There is strong evidence in the medical literature that perinatal depression can be effectively managed with psychological treatments delivered by non-specialists. Our previous research in Pakistan led to the development of a successful perinatal depression intervention, the Thinking Healthy Program (THP). The THP is a psychological treatment delivered by community health workers. The burden of perinatal depression can be reduced through scale-up of this proven intervention; however, training of health workers at scale is a major barrier. To enhance access to such interventions there is a need to look at technological solutions to training and supervision. This is a non-inferiority, single-blinded randomized controlled trial. Eighty community health workers called Lady Health Workers (LHWs) working in a post-conflict rural area in Pakistan (Swat) will be recruited through the LHW program. LHWs will be randomly allocated to Technology-assisted Cascade Training and Supervision (TACTS) or to specialist-delivered training (40 in each group). The TACTS group will receive training in THP through LHW supervisors using a tablet-based training package, whereas the comparison group will receive training directly from mental health specialists. Our hypothesis is that both groups will achieve equal competence. Primary outcome measure will be competence of health workers at delivering THP using a modified ENhancing Assessment of Common Therapeutic factors (ENACT) rating scale immediately post training and after 3 months of supervision. Independent assessors will be blinded to the LHW allocation status. Women living in post-conflict areas are at higher risk of depression compared to the general population. Implementation of evidence-based interventions for depression in such situations is a challenge because health systems are weak and human resources are scarce. The key innovation to be tested in this trial is a Technology-assisted Cascade Training and Supervision system to assist scale-up of the THP. Registered with ClinicalTrials.gov as GCC-THP-TACTS-2015, Identifier: NCT02644902 .

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

Supervised Versus Home Exercise Training Programs on Functional Balance in Older Subjects.

PubMed

Youssef, Enas Fawzy; Shanb, Alsayed Abd Elhameed

2016-11-01

Aging is associated with a progressive decline in physical capabilities and a disturbance of both postural control and daily living activities. The aim of this study was to evaluate the effects of supervised versus home exercise programs on muscle strength, balance and functional activities in older participants. Forty older participants were equally assigned to a supervised exercise program (group-I) or a home exercise program (group-II). Each participant performed the exercise program for 35-45 minutes, two times per week for four months. Balance indices and isometric muscle strength were measured with the Biodex Balance System and Hand-Held Dynamometer. Functional activities were evaluated by the Berg Balance Scale (BBS) and the timed get-up-and-go test (TUG). The mean values of the Biodex balance indices and the BBS improved significantly after both the supervised and home exercise programs ( P < 0.05). However, the mean values of the TUG and muscle strength at the ankle, knee and hip improved significantly only after the supervised program. A comparison between the supervised and home exercise programs revealed there were only significant differences in the BBS, TUG and muscle strength. Both the supervised and home exercise training programs significantly increased balance performance. The supervised program was superior to the home program in restoring functional activities and isometric muscle strength in older participants.

NASA's Applied Remote Sensing Training (ARSET) Webinar Series

Atmospheric Science Data Center

2016-07-12

NASA's Applied Remote Sensing Training (ARSET) Webinar Series Tuesday, July 12, 2016 ... you of a free training opportunity: Introduction to Remote Sensing for Air Quality Applications Webinar Series Beginning in ...

The Roles and Responsibilities of Paraprofessionals Who Work with Students with Visual Impairments in Public Schools as Recommended by Experts/Practitioners to Influence and Develop In-Service Training and Supervision

ERIC Educational Resources Information Center

Casias, Nicholas

2017-01-01

Purpose: The purpose of this study was to determine, through the feedback of experts, the roles and responsibilities, training needs, and supervision needs of paraprofessionals who work with students with visual impairments in public schools (within the itinerant orientation and mobility [O&M] service delivery model). Theoretical Framework:…

Internet and video technology in psychotherapy supervision and training.

PubMed

Wolf, Abraham W

2011-06-01

The seven articles in this special section on the use of Internet and video technology represent the latest growth on one branch of the increasingly prolific and differentiated work in the technology of psychotherapy. In addition to the work presented here on video and the Internet applications to supervision and training, information technology is changing the field of psychotherapy through computer assisted therapies and virtual reality interventions.

A Meta-analysis of universal mental health prevention programs for higher education students.

PubMed

Conley, Colleen S; Durlak, Joseph A; Kirsch, Alexandra C

2015-05-01

This meta-analysis investigated the effectiveness of universal mental health prevention programs for higher education students on a range of adjustment outcomes. A systematic literature search identified 103 controlled published and unpublished interventions involving college, graduate, or professional students. As hypothesized, skill-training programs that included a supervised practice component were significantly more effective overall (mean effect size = 0.45, confidence interval (CI) = 0.39 to 0.52) compared to skill-training programs without supervised practice (0.11, CI = -0.01 to 0.22) and psychoeducational (information-only) programs (0.13, CI = 0.06 to 0.21). When comparisons on specific outcomes were possible, skill-training programs including supervised practice were significantly more effective than the other two groups of programs in reducing symptoms of depression, anxiety, stress, and general psychological distress, and in improving social-emotional skills, self-perceptions, and academic behaviors and performance. The magnitude of effects achieved in several outcome areas is comparable to or higher than that reported in other reviews of universal programs, suggesting that skill-training programs for higher education students that incorporate supervised practice now join the ranks of other effective preventive mental health interventions. This review offers several recommendations to improve the experimental rigor of future research.

Efficient use of unlabeled data for protein sequence classification: a comparative study.

PubMed

Kuksa, Pavel; Huang, Pai-Hsi; Pavlovic, Vladimir

2009-04-29

Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved accuracy if this data is supplemented with protein sequences that lack any class tags-the unlabeled data. In this study, we present a principled and biologically motivated computational framework that more effectively exploits the unlabeled data by only using the sequence regions that are more likely to be biologically relevant for better prediction accuracy. As overly-represented sequences in large uncurated databases may bias the estimation of computational models that rely on unlabeled data, we also propose a method to remove this bias and improve performance of the resulting classifiers. Combined with state-of-the-art string kernels, our proposed computational framework achieves very accurate semi-supervised protein remote fold and homology detection on three large unlabeled databases. It outperforms current state-of-the-art methods and exhibits significant reduction in running time. The unlabeled sequences used under the semi-supervised setting resemble the unpolished gemstones; when used as-is, they may carry unnecessary features and hence compromise the classification accuracy but once cut and polished, they improve the accuracy of the classifiers considerably.

ICAP: An Interactive Cluster Analysis Procedure for analyzing remotely sensed data. [to classify the radiance data to produce a thematic map

NASA Technical Reports Server (NTRS)

Wharton, S. W.

1980-01-01

An Interactive Cluster Analysis Procedure (ICAP) was developed to derive classifier training statistics from remotely sensed data. The algorithm interfaces the rapid numerical processing capacity of a computer with the human ability to integrate qualitative information. Control of the clustering process alternates between the algorithm, which creates new centroids and forms clusters and the analyst, who evaluate and elect to modify the cluster structure. Clusters can be deleted or lumped pairwise, or new centroids can be added. A summary of the cluster statistics can be requested to facilitate cluster manipulation. The ICAP was implemented in APL (A Programming Language), an interactive computer language. The flexibility of the algorithm was evaluated using data from different LANDSAT scenes to simulate two situations: one in which the analyst is assumed to have no prior knowledge about the data and wishes to have the clusters formed more or less automatically; and the other in which the analyst is assumed to have some knowledge about the data structure and wishes to use that information to closely supervise the clustering process. For comparison, an existing clustering method was also applied to the two data sets.

What factors influence attending surgeon decisions about resident autonomy in the operating room?

PubMed

Williams, Reed G; George, Brian C; Meyerson, Shari L; Bohnen, Jordan D; Dunnington, Gary L; Schuller, Mary C; Torbeck, Laura; Mullen, John T; Auyang, Edward; Chipman, Jeffrey G; Choi, Jennifer; Choti, Michael; Endean, Eric; Foley, Eugene F; Mandell, Samuel; Meier, Andreas; Smink, Douglas S; Terhune, Kyla P; Wise, Paul; DaRosa, Debra; Soper, Nathaniel; Zwischenberger, Joseph B; Lillemoe, Keith D; Fryer, Jonathan P

2017-12-01

Educating residents in the operating room requires balancing patient safety, operating room efficiency demands, and resident learning needs. This study explores 4 factors that influence the amount of autonomy supervising surgeons afford to residents. We evaluated 7,297 operations performed by 487 general surgery residents and evaluated by 424 supervising surgeons from 14 training programs. The primary outcome measure was supervising surgeon autonomy granted to the resident during the operative procedure. Predictor variables included resident performance on that case, supervising surgeon history with granting autonomy, resident training level, and case difficulty. Resident performance was the strongest predictor of autonomy granted. Typical autonomy by supervising surgeon was the second most important predictor. Each additional factor led to a smaller but still significant improvement in ability to predict the supervising surgeon's autonomy decision. The 4 factors together accounted for 54% of decision variance (r = 0.74). Residents' operative performance in each case was the strongest predictor of how much autonomy was allowed in that case. Typical autonomy granted by the supervising surgeon, the second most important predictor, is unrelated to resident proficiency and warrants efforts to ensure that residents perform each procedure with many different supervisors. Copyright © 2017 Elsevier Inc. All rights reserved.

Being and becoming a psychotherapy supervisor: the crucial triad of learning difficulties.

PubMed

Watkins, C Edward

2013-01-01

More than 40 years ago eminent psychiatrist Richard Chessick penned a classic, highly prescient psychotherapy supervision paper (that appeared in this journal) in which he identified for supervisors the crucial triad of learning difficulties that tend to confront beginning therapists in their training. These are (a) dealing with the anxiety attendant to the development of psychological mindedness; (b) developing a psychotherapist identity; and (c) developing conviction about the meaningfulness of psychodynamics and psychotherapy. In this paper, I would like to revisit Chessick's seminal contribution about the teaching and learning of psychotherapy and extrapolate his triad of learning difficulties to the process of teaching and learning supervision. The process of being and becoming a psychotherapist has been likened to a developmental journey, and similarly being and becoming a supervisor is increasingly recognized as a developmental journey that is best stimulated by means of didactic and practical experiences (i.e., supervision coursework, seminars, or workshops and the supervision of supervision). In what follows, I would like to explore how Chessick's crucial triad of learning difficulties can be meaningfully extrapolated to and used to inform the supervision training situation. In extrapolating Chessick's triad, beginning supervisors or supervisor trainees can be conceptualized as confronting three critical issues: (a) dealing with the anxiety and demoralization attendant to the development of supervisory mindedness; (b) developing a supervisory identity; and (c) developing conviction about the meaningfulness of psychotherapy supervision. This triadic conceptualization appears to capture nicely core concerns that extend across the arc of the supervisor development process and provides a useful and usable way of thinking about supervisor training and informing it. Each component of the triadic conceptualization is described, and some supervisor education intervention possibilities are considered.

[Pelvic floor muscle training and pelvic floor disorders in women].

PubMed

Thubert, T; Bakker, E; Fritel, X

2015-05-01

Our goal is to provide an update on the results of pelvic floor rehabilitation in the treatment of urinary incontinence and genital prolapse symptoms. Pelvic floor muscle training allows a reduction of urinary incontinence symptoms. Pelvic floor muscle contractions supervised by a healthcare professional allow cure in half cases of stress urinary incontinence. Viewing this contraction through biofeedback improves outcomes, but this effect could also be due by a more intensive and prolonged program with the physiotherapist. The place of electrostimulation remains unclear. The results obtained with vaginal cones are similar to pelvic floor muscle training with or without biofeedback or electrostimulation. It is not known whether pelvic floor muscle training has an effect after one year. In case of stress urinary incontinence, supervised pelvic floor muscle training avoids surgery in half of the cases at 1-year follow-up. Pelvic floor muscle training is the first-line treatment of post-partum urinary incontinence. Its preventive effect is uncertain. Pelvic floor muscle training may reduce the symptoms associated with genital prolapse. In conclusion, pelvic floor rehabilitation supervised by a physiotherapist is an effective short-term treatment to reduce the symptoms of urinary incontinence or pelvic organ prolapse. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Prepubescent Strength Training. Some Considerations.

ERIC Educational Resources Information Center

Priest, Joe W.; Holshouser, Richard S.

1987-01-01

Under the careful supervision of a trained fitness professional, the benefits of prepubescent strength training (improved strength, power, muscular endurance, bone density) outweigh the risks (acute and chronic musculoskeletal injuries). (CB)

Current Risk Management Practices in Psychotherapy Supervision.

PubMed

Mehrtens, Ilayna K; Crapanzano, Kathleen; Tynes, L Lee

2017-12-01

Psychotherapy competence is a core skill for psychiatry residents, and psychotherapy supervision is a time-honored approach to teaching this skill. To explore the current supervision practices of psychiatry training programs, a 24-item questionnaire was sent to all program directors of Accreditation Council for Graduate Medical Education (ACGME)-approved adult psychiatry programs. The questionnaire included items regarding adherence to recently proposed therapy supervision practices aimed at reducing potential liability risk. The results suggested that current therapy supervision practices do not include sufficient management of the potential liability involved in therapy supervision. Better protections for patients, residents, supervisors and the institutions would be possible with improved credentialing practices and better documentation of informed consent and supervision policies and procedures. © 2017 American Academy of Psychiatry and the Law.

Supervised pelvic floor muscle training versus attention-control massage treatment in patients with faecal incontinence: Statistical analysis plan for a randomised controlled trial.

PubMed

Ussing, Anja; Dahn, Inge; Due, Ulla; Sørensen, Michael; Petersen, Janne; Bandholm, Thomas

2017-12-01

Faecal incontinence affects approximately 8-9% of the adult population. The condition is surrounded by taboo; it can have a devastating impact on quality of life and lead to major limitations in daily life. Pelvic floor muscle training in combination with information and fibre supplements is recommended as first-line treatment for faecal incontinence. Despite this, the effect of pelvic floor muscle training for faecal incontinence is unclear. No previous trials have investigated the efficacy of supervised pelvic floor muscle training in combination with conservative treatment and compared this to an attention-control massage treatment including conservative treatment. The aim of this trial is to investigate if 16 weeks of supervised pelvic floor muscle training in combination with conservative treatment is superior to attention-control massage treatment and conservative treatment in patients with faecal incontinence. Randomised, controlled, superiority trial with two parallel arms. 100 participants with faecal incontinence will be randomised to either (1) individually supervised pelvic floor muscle training and conservative treatment or (2) attention-control massage treatment and conservative treatment. The primary outcome is participants' rating of symptom changes after 16 weeks of treatment using the Patient Global Impression of Improvement Scale. Secondary outcomes are the Vaizey Incontinence Score, the Fecal Incontinence Severity Index, the Fecal Incontinence Quality of Life Scale, a 14-day bowel diary, anorectal manometry and rectal capacity measurements. Follow-up assessment at 36 months will be conducted. This paper describes and discusses the rationale, the methods and in particular the statistical analysis plan of this trial.

Autonomous rehabilitation at stroke patients home for balance and gait: safety, usability and compliance of a virtual reality system.

PubMed

Held, Jeremia P; Ferrer, Begoña; Mainetti, Renato; Steblin, Alexander; Hertler, Benjamin; Moreno-Conde, Alberto; Dueñas, Alvaro; Pajaro, Marta; L-Parra-Calderón, Carlos; Vargiu, Eloisa; Zarco, Maria J; Barrera, Maria; Echevarria, Carmen; Jódar-Sánchez, Francisco; Luft, Andreas R; Borghese, Nunzio A

2017-09-25

New technologies, such as telerehabilitation and gaming devices offer the possibility for patients to train at home. This opens the challenge of safety for the patient as he is called to exercise neither with a therapist on the patients' side nor with a therapist linked remotely to supervise the sessions. To study the safety, usability and patient acceptance of an autonomous telerehabilitation system for balance and gait (the REWIRE platform) in the patients home. Cohort study. Community, in the stroke patients' home. 15 participants with first-ever stroke, with a mild to moderate residual deficit of the lower extremities. Autonomous rehabilitation based on virtual rehabilitation was provided at the participants' home for twelve weeks. The primary outcome was compliance (the ratio between days of actual and scheduled training), analysed with the two-tailed Wilcoxon Mann- Whitney test. Furthermore safety is defined by adverse events. The secondary endpoint was the acceptance of the system measured with the Technology Acceptance Model. Additionally, the cumulative duration of weekly training was analysed. During the study there were no adverse events related to the therapy. Patients performed on average 71% (range 39 to 92%) of the scheduled sessions. The Technology Acceptance Model Questionnaire showed excellent values for stroke patients after the training. The average training duration per week was 99 ±53min. Autonomous telerehabilitation for balance and gait training with the REWIRE-system is safe, feasible and can help to intensive rehabilitative therapy at home. Telerehabilitation enables safe training in home environment and supports of the standard rehabilitation therapy.

Motivational characteristics and resistance training in older adults: a randomized controlled trial and 1-year follow-up.

PubMed

Kekäläinen, Tiia; Kokko, Katja; Tammelin, Tuija; Sipilä, Sarianna; Walker, Simon

2018-06-07

The aim of this study was to investigate the effects of a nine-month supervised resistance training intervention on motivational and volitional characteristics related to exercise, and whether the absolute level and/or intervention-induced change in these characteristics predict self-directed continuation of resistance training one year after the intervention. Community-dwelling older adults aged 65-75, who did not fulfill physical activity recommendations, were randomized into resistance training intervention groups: training once- (n=26), twice- (n=27), three-times-a-week (n=28) or non-training control group (n=25). Training groups participated in supervised resistance training for nine months: during months 1-3 all groups trained twice-a-week and then with allocated frequencies during months 4-9. Exercise-related motivation, self-efficacy and planning were measured with questionnaires at baseline, month-3 and month-9. The continuance of resistance training was determined by interviews six and twelve months after the end of the intervention. The intervention improved action and coping planning as well as intrinsic motivation (group×time p<.05). During one-year follow-up, 54% of participants did not continue self-directed regular resistance training, 22% continued regular resistance training once-a-week and 24% twice-a-week. Increases in exercise self-efficacy and intrinsic motivation related to training during the intervention predicted continuation of resistance training twice-a-week. Resistance training improved exercise-related motivational and volitional characteristics in older adults. These improvements were linked to continuing resistance training one year after the supervised intervention. The role of these characteristics should be taken into account when promoting long-term resistance training participation among older adults. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

A Break-Even Analysis of Optimum Faculty Assignment for Ambulatory Primary Care Training.

ERIC Educational Resources Information Center

Xakellis, George C.; And Others

1996-01-01

A computer simulation was developed to estimate the number of medical residents one or two faculty teachers could supervise in a university-based primary medical care teaching clinic. With no non-teaching tasks, it was shown that two teachers could supervise 11 residents, while one teacher was able to supervise only three residents under similar…

Effect of aerobic vs combined aerobic-strength training on 1-year, post-cardiac rehabilitation outcomes in women after a cardiac event.

PubMed

Arthur, Heather M; Gunn, Elizabeth; Thorpe, Kevin E; Ginis, Kathleen Martin; Mataseje, Lin; McCartney, Neil; McKelvie, Robert S

2007-11-01

To compare the effect and sustainability of 6 months combined aerobic/strength training vs aerobic training alone on quality of life in women after coronary artery by-pass graft surgery or myocardial infarction. Prospective, 2-group, randomized controlled trial. Ninety-two women who were 8-10 weeks post-coronary artery by-pass graft surgery or myocardial infarction, able to attend supervised exercise, and fluent in English. The aerobic training alone group had supervised exercise twice a week for 6 months. The aerobic/strength training group received aerobic training plus upper and lower body resistance exercises. The amount of active exercise time was matched between groups. The primary outcome, quality of life, was measured by the MOS SF-36; secondary outcomes were self-efficacy, strength and exercise capacity. After 6 months of supervised exercise training both groups showed statistically significant improvements in physical quality of life (p = 0.0002), peak VO2 (19% in aerobic/strength training vs 22% in aerobic training alone), strength (p < 0.0001) and self-efficacy for stair climbing (p = 0.0024), lifting (p < 0.0001) and walking (p = 0.0012). However, by 1-year follow-up there was a statistically significant difference in physical quality of life in favor of the aerobic/strength training group (p = 0.05). Women with coronary artery disease stand to benefit from both aerobic training alone and aerobic/strength training. However, continued improvement in physical quality of life may be achieved through combined strength and aerobic training.

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.

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.

Trainees' self-evaluation of their development as psychotherapists: An Italian contribution to an international collaborative study on psychotherapy training.

PubMed

Messina, Irene; Gelo, Omar C G; Sambin, Marco; Bianco, Francesca; Mosconi, Andrea; Fenelli, Antonio; Curto, Marcello; Gullo, Salvo; Orlinsky, David

2018-03-01

This study presents a pilot contribution to the new collaborative, multinational study of psychotherapy trainee development that was undertaken by the Society for Psychotherapy Research Interest Section on Therapist Training and Development (see Orlinsky, Strauss, Rønnestad, et al., ). Although the main project is longitudinal in design, this preliminary study investigated cross-sectional differences between trainees in different years of training and explored the influence of core training experiences-including supervision and personal therapy-on their perceived development as therapists. Using the trainee current-progress report that was designed for the Society for Psychotherapy Research Interest Section on Therapist Training and Development project, 90 trainees at 4 different 4-year training programs in Italy provided self-evaluations of their development and of their therapeutic work experiences. Perceived development included overall change, progress, deterioration, overcoming past limitations, and realization of potential as a therapist. Therapeutic work experiences were assessed using scales of healing and stressful involvement (Orlinsky & Rønnestad, ). Year in training and support in supervision predicted perceived development and healing involvement, whereas experiencing criticism in supervision was associated with stressful involvement. Having had personal therapy, and especially ratings of benefit from personal therapy, was also associated with perceived development and healing involvement. Results are discussed with regard of their implications for psychotherapy training. Copyright © 2017 John Wiley & Sons, Ltd.

GMES Initial Operations - Network for Earth Observation Research Training (GIONET)

NASA Astrophysics Data System (ADS)

Nicolas-Perea, V.; Balzter, H.

2012-12-01

GMES Initial Operations - Network for Earth Observation Research Training (GIONET) is a Marie Curie funded project that aims to establish the first of a kind European Centre of Excellence for Earth Observation Research Training. GIONET is a partnership of leading Universities, research institutes and private companies from across Europe aiming to cultivate a community of early stage researchers in the areas of optical and radar remote sensing skilled for the emerging GMES land monitoring services during the GMES Initial Operations period (2011-2013) and beyond. GIONET is expected to satisfy the demand for highly skilled researchers and provide personnel for operational phase of the GMES and monitoring and emergency services. It will achieve this by: -Providing postgraduate training in Earth Observation Science that exposes students to different research disciplines and complementary skills, providing work experiences in the private and academic sectors, and leading to a recognized qualification (Doctorate). -Enabling access to first class training in both fundamental and applied research skills to early-stage researchers at world-class academic centers and market leaders in the private sector. -Building on the experience from previous GMES research and development projects in the land monitoring and emergency information services. The training program through supervised research focuses on 14 research topics (each carried out by an Early Stage Researchers based in one of the partner organization) divided in 5 main areas: Forest monitoring: Global biomass information systems Forest Monitoring of the Congo Basin using Synthetic Aperture radar (SAR) Multi-concept Earth Observation Capabilities for Biomass Mapping and Change Detection: Synergy of Multi-temporal and Multi-frequency Interferometric Radar and Optical Satellite Data Land cover and change: Multi-scale Remote Sensing Synergy for Land Process Studies: from field Spectrometry to Airborne Hyperspectral and Lidar Campaigns to Radar-Optical Satellite Data Multi-temporal, multi-frequency SAR for landscape dynamics Coastal zone and freshwater monitoring: Optical and SAR-based EO in support of Integrated Coastal Zone Management Dynamics and conservation ecology of emergent and submerged macrophytes in Lake Balaton using airborne remote sensing Satellite remote sensing of water quality (chlorophyll and suspended sediment) using MODIS and ship-mounted LIDAR Geohazards and emergency response: Methods for detection and monitoring of small scale land surface feature changes in complex crisis situations Monitoring landslide displacements with Radar Interferometry DINSAR/PSI hybrid methodologies for ground-motion monitoring Climate adaptation and emergency response: Earth Observation based analysis of regional impact of climate change induced water stress patterns fuelling human crisis and conflict situations in semi dry climate regimes Satellite Derived Information for Drought Detection and Estimation of the Water Balance GIONET will also cover methodologies including (i) modelling fundamental radiative processes determining the satellite signal, (ii) atmospheric correction and calibration, (iii) processing higher-order data products, (iii) developing information products from satellite data to meet user requirements, and (iv) statistical methods for assessing the quality and accuracy of data products.

Psychotherapy-based supervision models in an emerging competency-based era: a commentary.

PubMed

Falender, Carol A; Shafranske, Edward P

2010-03-01

As psychology engages in a cultural shift to competency-based education and training supervision practice is being transformed to the use of competency frames and the application of benchmark competencies. In this issue, psychotherapy-based models of supervision are conceptualized in a competency framework. This paper reflects on the translation of key components of each psychotherapy-based supervision approach in terms of foundational and functional competencies articulated in the Competencies Benchmarks (Fouad et al., 2009). The commentary concludes with a discussion of implications for supervision practice and identifies directions for future articulation and development, including evidence-based psychotherapy supervision. PsycINFO Database Record (c) 2010 APA, all rights reserved

Implementation of specific strength training among industrial laboratory technicians: long-term effects on back, neck and upper extremity pain.

PubMed

Pedersen, Mogens Theisen; Andersen, Christoffer H; Zebis, Mette K; Sjøgaard, Gisela; Andersen, Lars L

2013-10-09

Previous studies have shown positive effects of physical exercise at the workplace on musculoskeletal disorders. However, long-term adherence remains a challenge. The present study evaluates long-term adherence and effects of a workplace strength training intervention on back, neck and upper extremity pain among laboratory technicians. Cluster-randomized controlled trial involving 537 industrial laboratory technicians. Subjects were randomized at the cluster level to one of two groups: training group 1 (TG1, n = 282) performing supervised strength training from February to June 2009 (round one) or training group 2 (TG2, n = 255) performing supervised strength training from August to December 2009 (round two). The outcome measures were changes in self-reported pain intensity (0-9) in the back, neck and upper extremity as well as Disability of the Arm, Shoulder and Hand (DASH, 0-100). Regular adherence, defined as at least one training session per week, was achieved by around 85% in both groups in the supervised training periods. In the intention-to-treat analyses there were significant group by time effects for pain in the neck, right shoulder, right hand and lower back and DASH-resulting in significant reductions in pain (mean 0.3 to 0.5) and DASH (mean 3.9) in the scheduled training group compared to the reference group. For TG1 there were no significant changes in pain in round two, i.e. they maintained the pain reduction achieved in round one. Subgroup analyses among those with severe pain (> = 3 on a scale of 0-9) showed a significant group by time effect for pain in the neck, right shoulder, upper back and lower back. For these subgroups the pain reduction in response to training ranged from 1.1 to 1.8. Specific strength training at the workplace can lead to significant long-term reductions in spinal and upper extremity pain and DASH. The pain reductions achieved during the intensive training phase with supervision appears to be maintained a half year later.

The NASA/NSERC Student Airborne Research Program Land Focus Group - a Paid Training Program in Multi-Disciplinary STEM Research for Terrestrial Remote Sensing

NASA Astrophysics Data System (ADS)

Kefauver, S. C.; Ustin, S.; Davey, S. W.; Furey, B. J.; Gartner, A.; Kurzweil, D.; Siebach, K. L.; Slawsky, L.; Snyder, E.; Trammell, J.; Young, J.; Schaller, E.; Shetter, R. E.

2011-12-01

The Student Airborne Research Program (SARP) of the National Aeronautics and Space Administration (NASA) and the National Suborbital Education and Research Center (NSERC) is a unique six week multidisciplinary paid training program which directly integrates students into the forefront of airborne remote sensing science. Students were briefly trained with one week of lectures and laboratory exercises and then immediately incorporated into ongoing research projects which benefit from access to the DC-8 airborne platform and the MODIS-ASTER Airborne Simulator (MASTER) sensor. Students were split into three major topical categories of Land, Ocean, and Air for the data collection and project portions of the program. This poster details the techniques and structure used for the student integration into ongoing research, professional development, hypothesis building and results as developed by the professor and mentor of the Land focus group. Upon assignment to the Land group, students were issued official research field protocols and split into four field specialty groups with additional specialty reading assignments. In the field each group spent more time in their respective specialty, but also participated in all field techniques through pairings with UC Davis research team members using midday rotations. After the field campaign, each specialty group then gave summary presentations on the techniques, preliminary results, and significance to overall group objectives of their specialty. Then students were required to submit project proposals within the bounds of Land airborne remote sensing science and encouraging, but not requiring the use of the field campaign data. These proposals are then reviewed by the professor and mentor and students are met with one by one to discuss the skills of each student and objectives of the proposed research project. The students then work under the supervision of the mentor and benefit again from professor feedback in a formal practice presentation session. At the end of the six week program, students present to all SARP program focus groups, mentors, professors, and, in addition, NSERC and NASA airborne science and education program directors and personnel.

Mapping raised bogs with an iterative one-class classification approach

NASA Astrophysics Data System (ADS)

Mack, Benjamin; Roscher, Ribana; Stenzel, Stefanie; Feilhauer, Hannes; Schmidtlein, Sebastian; Waske, Björn

2016-10-01

Land use and land cover maps are one of the most commonly used remote sensing products. In many applications the user only requires a map of one particular class of interest, e.g. a specific vegetation type or an invasive species. One-class classifiers are appealing alternatives to common supervised classifiers because they can be trained with labeled training data of the class of interest only. However, training an accurate one-class classification (OCC) model is challenging, particularly when facing a large image, a small class and few training samples. To tackle these problems we propose an iterative OCC approach. The presented approach uses a biased Support Vector Machine as core classifier. In an iterative pre-classification step a large part of the pixels not belonging to the class of interest is classified. The remaining data is classified by a final classifier with a novel model and threshold selection approach. The specific objective of our study is the classification of raised bogs in a study site in southeast Germany, using multi-seasonal RapidEye data and a small number of training sample. Results demonstrate that the iterative OCC outperforms other state of the art one-class classifiers and approaches for model selection. The study highlights the potential of the proposed approach for an efficient and improved mapping of small classes such as raised bogs. Overall the proposed approach constitutes a feasible approach and useful modification of a regular one-class classifier.

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.

Factors associated with adverse clinical outcomes among obstetric trainees

PubMed Central

Aiken PhD, Catherine E.; Aiken, Abigail; Park, Hannah; Brockelsby, Jeremy C.; Prentice, Andrew

2016-01-01

Objective To determine whether UK obstetric trainees transitioning from directly to indirectly-supervised practice have a higher likelihood of adverse patient outcomes from operative deliveries compared to other indirectly supervised trainees and to examine whether performing more procedures under direct supervision is associated with fewer adverse outcomes in initial indirect practice. Methods We examined all deliveries (13,861) conducted by obstetricians at a single centre over 5 years (2008-2013). Mixed-effects logistic regression models were used to compare estimated blood loss, maternal trauma, umbilical arterial pH, delayed neonatal respiration, failed instrumental delivery, and critical incidents for trainees in their first indirectly-supervised year with trainees in all other years of indirect practice. Outcomes for trainees in their first indirectly-supervised 3 months were compared to their outcomes for the remainder of the year. Linear regression was used to examine the relationship between number of procedures performed under direct supervision and initial outcomes under indirect supervision. Results Trainees in their first indirectly-supervised year had a higher likelihood of >2 litres estimated blood loss at any delivery (OR 1.32;CI(1.01-1.64) p<0.05) and of failed instrumental delivery (OR 2.33;CI(1.37-3.29) p<0.05) compared with other indirectly-supervised trainees. Other measured outcomes showed no significant differences. Within the first three months of indirect supervision, the likelihood of operative vaginal deliveries with >1litre estimated blood loss (OR 2.54;CI(1.88-3.20) p<0.05) was higher compared to the remainder of the first year. Performing more deliveries under direct supervision prior to beginning indirectly-supervised training was associated with decreased risk of >1litre estimated blood loss (p<0.05). Conclusions Obstetric trainees in their first year of indirectly-supervised practice have a higher likelihood of immediate adverse delivery outcomes, which are primarily maternal rather than neonatal. Undertaking more directly supervised procedures prior to transitioning to indirectly-supervised practice may reduce adverse outcomes, suggesting that experience is a key consideration in obstetric training programme design. PMID:26077215

Hiring and Training Lifeguards.

ERIC Educational Resources Information Center

Hunsucker, John

1993-01-01

Discusses options for the hiring, testing, training, and supervision of lifeguards. Stresses the responsibility of camp directors in hiring properly trained lifeguards to ensure camper safety. Includes a precamp screening test of lifeguard knowledge and skills. (LP)

Development of alternative data analysis techniques for improving the accuracy and specificity of natural resource inventories made with digital remote sensing data

NASA Technical Reports Server (NTRS)

Lillesand, T. M.; Meisner, D. E. (Principal Investigator)

1980-01-01

An investigation was conducted into ways to improve the involvement of state and local user personnel in the digital image analysis process by isolating those elements of the analysis process which require extensive involvement by field personnel and providing means for performing those activities apart from a computer facility. In this way, the analysis procedure can be converted from a centralized activity focused on a computer facility to a distributed activity in which users can interact with the data at the field office level or in the field itself. A general image processing software was developed on the University of Minnesota computer system (Control Data Cyber models 172 and 74). The use of color hardcopy image data as a primary medium in supervised training procedures was investigated and digital display equipment and a coordinate digitizer were procured.

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach

PubMed Central

Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong

2017-01-01

Background Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. Objective We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation—that is, creating lay definitions for these terms. Methods Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. Results The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS’s performance substantially. Conclusions ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS’s performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. PMID:29089288

Speech reconstruction using a deep partially supervised neural network.

PubMed

McLoughlin, Ian; Li, Jingjie; Song, Yan; Sharifzadeh, Hamid R

2017-08-01

Statistical speech reconstruction for larynx-related dysphonia has achieved good performance using Gaussian mixture models and, more recently, restricted Boltzmann machine arrays; however, deep neural network (DNN)-based systems have been hampered by the limited amount of training data available from individual voice-loss patients. The authors propose a novel DNN structure that allows a partially supervised training approach on spectral features from smaller data sets, yielding very good results compared with the current state-of-the-art.

Development and testing of a rural credit supervision system at the level of counties and rural properties utilizing remote sensing techniqes

NASA Technical Reports Server (NTRS)

Batista, G. T. (Principal Investigator); Delima, A. M.; Tardin, A. T.; Rudorff, B. F. T.; Mendonca, F. J.; Dosanjosferreirapinto, S.; Chen, S. C.; Duarte, V.

1984-01-01

Remote sensing techniques for supporting the rural credit supervision system were developed and tested. The test area comprised the counties of Aracatuba and Guararapes, located in the State of Sao Paulo. Aerial photography, LANDSAT images and topographic charts were used. Aerial photographs were extremely useful for the out lining of properties boundaries with financing of sugarcane plantations by the Banco do Brasil S.A.. The percentage of correctly interpreted sugarcane on LANDSAT images, considering the 85 analyzed properties, was of 63.12%. The occurrence of atypical conditions such as excessive raining, sugarcane in bloom, and wind damaged sugarcane and sugarcane not harvested due to planning failures verified during the period the images were obtained, were some of the contributing factors associated with a low interpretation performance. An alternative approach was developed using several LANDSAT overpasses and auxiliary field data, which resulted in 91.77 percent correct.

[Specifics of working with chronic mentally ill patients in Specialised Social Help Services--experiences in training and supervision meetings].

PubMed

Paszko, Jolanta; Wnek, Beata; Załuska, Maria

2004-01-01

Information was presented on the development and efficiency of The Specialised Psychiatric Social Help Services for the mentally ill in Poland. It took into consideration the specifics of this work and formal requirements for special training of the staff. The experiences of the 3.5 years of work of the specialised services in the Warszawa Targówek district (October 1997 - June 2001) were discussed. Organisational solutions and basic data about clients and staff and establishments and experiences coming from training and supervision meetings were discussed. Problems and difficulties most often experienced by the staff workers at their work with chronic mentally ill patients were described. Consideration was put from one side on the big rotation of the staff and from the other on the need of the extension of the theoretical and practical knowledge as well as of supervision and support was often mentioned in the questionnaire. A need of elaborating the programme of training and professional courses for workers of the specialised psychiatric social help services was also pointed out.

Clinical Supervision of Mental Health Professionals Serving Youth: Format and Microskills.

PubMed

Bailin, Abby; Bearman, Sarah Kate; Sale, Rafaella

2018-03-21

Clinical supervision is an element of quality assurance in routine mental health care settings serving children; however, there is limited scientific evaluation of its components. This study examines the format and microskills of routine supervision. Supervisors (n = 13) and supervisees (n = 20) reported on 100 supervision sessions, and trained coders completed observational coding on a subset of recorded sessions (n = 57). Results indicate that microskills shown to enhance supervisee competency in effectiveness trials and experiments were largely absent from routine supervision, highlighting potential missed opportunities to impart knowledge to therapists. Findings suggest areas for quality improvement within routine care settings.

Pervasive Sound Sensing: A Weakly Supervised Training Approach.

PubMed

Kelly, Daniel; Caulfield, Brian

2016-01-01

Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have the potential to reveal key information about a person's behavior. However, they have been utilized to a significantly lesser extent than other smartphone sensors in the context of human behavior sensing. We postulate that, in order for microphones to be useful in behavior sensing applications, the analysis techniques must be flexible and allow easy modification of the types of sounds to be sensed. A simplification of the training data collection process could allow a more flexible sound classification framework. We hypothesize that detailed training, a prerequisite for the majority of sound sensing techniques, is not necessary and that a significantly less detailed and time consuming data collection process can be carried out, allowing even a nonexpert to conduct the collection, labeling, and training process. To test this hypothesis, we implement a diverse density-based multiple instance learning framework, to identify a target sound, and a bag trimming algorithm, which, using the target sound, automatically segments weakly labeled sound clips to construct an accurate training set. Experiments reveal that our hypothesis is a valid one and results show that classifiers, trained using the automatically segmented training sets, were able to accurately classify unseen sound samples with accuracies comparable to supervised classifiers, achieving an average F -measure of 0.969 and 0.87 for two weakly supervised datasets.

Improving practice in community-based settings: a randomized trial of supervision - study protocol.

PubMed

Dorsey, Shannon; Pullmann, Michael D; Deblinger, Esther; Berliner, Lucy; Kerns, Suzanne E; Thompson, Kelly; Unützer, Jürgen; Weisz, John R; Garland, Ann F

2013-08-10

Evidence-based treatments for child mental health problems are not consistently available in public mental health settings. Expanding availability requires workforce training. However, research has demonstrated that training alone is not sufficient for changing provider behavior, suggesting that ongoing intervention-specific supervision or consultation is required. Supervision is notably under-investigated, particularly as provided in public mental health. The degree to which supervision in this setting includes 'gold standard' supervision elements from efficacy trials (e.g., session review, model fidelity, outcome monitoring, skill-building) is unknown. The current federally-funded investigation leverages the Washington State Trauma-focused Cognitive Behavioral Therapy Initiative to describe usual supervision practices and test the impact of systematic implementation of gold standard supervision strategies on treatment fidelity and clinical outcomes. The study has two phases. We will conduct an initial descriptive study (Phase I) of supervision practices within public mental health in Washington State followed by a randomized controlled trial of gold standard supervision strategies (Phase II), with randomization at the clinician level (i.e., supervisors provide both conditions). Study participants will be 35 supervisors and 130 clinicians in community mental health centers. We will enroll one child per clinician in Phase I (N = 130) and three children per clinician in Phase II (N = 390). We use a multi-level mixed within- and between-subjects longitudinal design. Audio recordings of supervision and therapy sessions will be collected and coded throughout both phases. Child outcome data will be collected at the beginning of treatment and at three and six months into treatment. This study will provide insight into how supervisors can optimally support clinicians delivering evidence-based treatments. Phase I will provide descriptive information, currently unavailable in the literature, about commonly used supervision strategies in community mental health. The Phase II randomized controlled trial of gold standard supervision strategies is, to our knowledge, the first experimental study of gold standard supervision strategies in community mental health and will yield needed information about how to leverage supervision to improve clinician fidelity and client outcomes. ClinicalTrials.gov NCT01800266.

Improving practice in community-based settings: a randomized trial of supervision – study protocol

PubMed Central

2013-01-01

Background Evidence-based treatments for child mental health problems are not consistently available in public mental health settings. Expanding availability requires workforce training. However, research has demonstrated that training alone is not sufficient for changing provider behavior, suggesting that ongoing intervention-specific supervision or consultation is required. Supervision is notably under-investigated, particularly as provided in public mental health. The degree to which supervision in this setting includes ‘gold standard’ supervision elements from efficacy trials (e.g., session review, model fidelity, outcome monitoring, skill-building) is unknown. The current federally-funded investigation leverages the Washington State Trauma-focused Cognitive Behavioral Therapy Initiative to describe usual supervision practices and test the impact of systematic implementation of gold standard supervision strategies on treatment fidelity and clinical outcomes. Methods/Design The study has two phases. We will conduct an initial descriptive study (Phase I) of supervision practices within public mental health in Washington State followed by a randomized controlled trial of gold standard supervision strategies (Phase II), with randomization at the clinician level (i.e., supervisors provide both conditions). Study participants will be 35 supervisors and 130 clinicians in community mental health centers. We will enroll one child per clinician in Phase I (N = 130) and three children per clinician in Phase II (N = 390). We use a multi-level mixed within- and between-subjects longitudinal design. Audio recordings of supervision and therapy sessions will be collected and coded throughout both phases. Child outcome data will be collected at the beginning of treatment and at three and six months into treatment. Discussion This study will provide insight into how supervisors can optimally support clinicians delivering evidence-based treatments. Phase I will provide descriptive information, currently unavailable in the literature, about commonly used supervision strategies in community mental health. The Phase II randomized controlled trial of gold standard supervision strategies is, to our knowledge, the first experimental study of gold standard supervision strategies in community mental health and will yield needed information about how to leverage supervision to improve clinician fidelity and client outcomes. Trial registration ClinicalTrials.gov NCT01800266 PMID:23937766

Disciplinary supervision following ethics complaints: goals, tasks, and ethical dimensions.

PubMed

Thomas, Janet T

2014-11-01

Clinical supervision is considered an integral component of the training of psychologists, and most of the professional literature is focused on this type of supervision. But psychologists also may supervise fully credentialed colleagues in other circumstances. One such context occurs when licensing boards mandate supervision as part of a disciplinary order. When supervision is provided in disciplinary cases, there are significant implications for the ethical dimensions of the supervisory relationship and concomitant ethical challenges for supervisors. Not only are the goals, objectives, and supervisory tasks of disciplinary supervision distinct from other types of supervision, but the supervisor's ethical responsibilities also encompass unique dimensions. Competence, informed consent, boundaries, confidentiality, and documentation are examined. Recommendations for reports to licensing boards include a statement of the clinical or ethical problems instigating discipline, description of how these problems have been addressed, and an assessment of the supervisee's current practices and ability to perform competently. © 2014 Wiley Periodicals, Inc.

Clinical supervision of psychotherapy: essential ethics issues for supervisors and supervisees.

PubMed

Barnett, Jeffrey E; Molzon, Corey H

2014-11-01

Clinical supervision is an essential aspect of every mental health professional's training. The importance of ensuring that supervision is provided competently, ethically, and legally is explained. The elements of the ethical practice of supervision are described and explained. Specific issues addressed include informed consent and the supervision contract, supervisor and supervisee competence, attention to issues of diversity and multicultural competence, boundaries and multiple relationships in the supervision relationship, documentation and record keeping by both supervisor and supervisee, evaluation and feedback, self-care and the ongoing promotion of wellness, emergency coverage, and the ending of the supervision relationship. Additionally, the role of clinical supervisor as mentor, professional role model, and gatekeeper for the profession are discussed. Specific recommendations are provided for ethically and effectively conducting the supervision relationship and for addressing commonly arising dilemmas that supervisors and supervisees may confront. © 2014 Wiley Periodicals, Inc.

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.

Chaotic map clustering algorithm for EEG analysis

NASA Astrophysics Data System (ADS)

Bellotti, R.; De Carlo, F.; Stramaglia, S.

2004-03-01

The non-parametric chaotic map clustering algorithm has been applied to the analysis of electroencephalographic signals, in order to recognize the Huntington's disease, one of the most dangerous pathologies of the central nervous system. The performance of the method has been compared with those obtained through parametric algorithms, as K-means and deterministic annealing, and supervised multi-layer perceptron. While supervised neural networks need a training phase, performed by means of data tagged by the genetic test, and the parametric methods require a prior choice of the number of classes to find, the chaotic map clustering gives a natural evidence of the pathological class, without any training or supervision, thus providing a new efficient methodology for the recognition of patterns affected by the Huntington's disease.

Classification of earth terrain using polarimetric synthetic aperture radar images

NASA Technical Reports Server (NTRS)

Lim, H. H.; Swartz, A. A.; Yueh, H. A.; Kong, J. A.; Shin, R. T.; Van Zyl, J. J.

1989-01-01

Supervised and unsupervised classification techniques are developed and used to classify the earth terrain components from SAR polarimetric images of San Francisco Bay and Traverse City, Michigan. The supervised techniques include the Bayes classifiers, normalized polarimetric classification, and simple feature classification using discriminates such as the absolute and normalized magnitude response of individual receiver channel returns and the phase difference between receiver channels. An algorithm is developed as an unsupervised technique which classifies terrain elements based on the relationship between the orientation angle and the handedness of the transmitting and receiving polariation states. It is found that supervised classification produces the best results when accurate classifier training data are used, while unsupervised classification may be applied when training data are not available.

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.

Trends in Psychotherapy Training: A National Survey of Psychiatry Residency Training

ERIC Educational Resources Information Center

Sudak, Donna M.; Goldberg, David A.

2012-01-01

Objective: The authors sought to determine current trends in residency training of psychiatrists. Method: The authors surveyed U.S. general-psychiatry training directors about the amount of didactic training, supervised clinical experience, and numbers of patients treated in the RRC-mandated models of psychotherapy (psychodynamic,…

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

PubMed

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

2015-03-01

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

Preventing Playground Injuries and Litigation.

ERIC Educational Resources Information Center

Frost, Joe L.

1994-01-01

The typical American playground is antiquated, hazardous, and inappropriate for the developmental needs of children. The paper explains how design, installation, maintenance, and supervision are critical in preventing playground injuries and resulting litigation, noting the importance of regular training for everyone who supervises children on the…

Countertransference. Its continued importance in psychiatric education

PubMed Central

Rao, Nyapati R.; Meinzer, Arthur E.; Berman, Sheldon S.

1997-01-01

Psychotherapy is likely to play a minor or nonexistent role in the future general psychiatrist's training and practice. However, the component skills of recognition and management of the countertransference will remain important. Because psychotherapy training and supervision have been the venues for countertransference learning, the field is in danger of losing its teaching laboratory and hence losing these skills. The authors examine the concept of countertransference and discuss its importance in four increasingly significant areas: managed care, psychopharmacological treatment, emergency intervention, and the management of professional boundaries regarding sexual misconduct. Methods are discussed for enhancing residents' countertransference skills through supervision, training groups, and the resident's personal psychotherapy. PMID:9058556

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)

The Rat Model in Microsurgery Education: Classical Exercises and New Horizons

PubMed Central

Shurey, Sandra; Akelina, Yelena; Legagneux, Josette; Malzone, Gerardo; Jiga, Lucian

2014-01-01

Microsurgery is a precise surgical skill that requires an extensive training period and the supervision of expert instructors. The classical training schemes in microsurgery have started with multiday experimental courses on the rat model. These courses have offered a low threat supervised high fidelity laboratory setting in which students can steadily and rapidly progress. This simulated environment allows students to make and recognise mistakes in microsurgery techniques and thus shifts any related risks of the early training period from the operating room to the lab. To achieve a high level of skill acquisition before beginning clinical practice, students are trained on a comprehensive set of exercises the rat model can uniquely provide, with progressive complexity as competency improves. This paper presents the utility of the classical rat model in three of the earliest microsurgery training centres and the new prospects that this versatile and expansive training model offers. PMID:24883268

Nursing and health-care assistant experience of supervision in a medium secure psychiatric service for women: implications for service development.

PubMed

Long, C G; Harding, S; Payne, K; Collins, L

2014-03-01

In secure psychiatric services where the potential for 'burnout' by nurses is high, clinical supervision is viewed as a key to reflective practice to support staff in stressful working environments. Barriers to the uptake of clinical supervision in such service settings are personal and organizational. The study was prompted by the need to evaluate the effectiveness of supervision for registered nurses and health-care assistants (HCAs) and a desire to use survey findings to improve the quality and uptake of supervision. The study examined the perceived benefits, the best practice elements and the practical aspects of clinical supervision including how to improve practice. An approximate uptake of clinical supervision by 50% of staff confirmed previous findings; that HCAs were significantly less likely to engage in supervision and less likely to perceive benefit from it. Initiatives to address the training and managerial obstacles to the provision of formal supervision are described. © 2013 John Wiley & Sons Ltd.

Supervisory needs of research doctoral students in a university teaching hospital setting.

PubMed

Caldwell, Patrina Hy; Oldmeadow, Wendy; Jones, Cheryl A

2012-10-01

Teaching hospitals affiliated with universities are now common sites for research higher degree supervision. We hypothesised that the hospital environment poses unique challenges to supervision compared with the traditional university research institute setting. This study aimed to identify and rank important supervision issues in a clinical setting from the students' perspective. Using the Delphi method to explore issues and facilitate consensus, small group discussions were conducted with 10 research doctoral students from a tertiary teaching hospital. We identified supervision issues that are unique to the hospital-based context. These include the demands placed on supervisors combining clinical and supervisory roles, the challenges of academic medical/scientific writing and career issues for students who are already established in their professions. Other issues identified, common to all doctoral students, include differing expectations between students and supervisors (with students wanting support for their career plans, training in research skills and increasing autonomy and responsibility), supervisor access, quality and frequency of meetings, lack of training in writing and dealing with conflicts. Our research identified that postgraduate students of supervisors who combine clinical and supervisory roles report significant issues with supervision, some of which are unique to the clinical setting. Clinician researchers who supervise postgraduate students need to balance clinical and supervisory responsibilities, identify and negotiate student expectations early in candidature and provide career counselling to students who are already highly experienced. Furthermore, clinician supervisors should undertake postgraduate supervisor training programme tailored to the hospital setting to better support their students. © 2012 The Authors. Journal of Paediatrics and Child Health © 2012 Paediatrics and Child Health Division (Royal Australasian College of Physicians).

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.

A Longitudinal Study of Adenoma Detection Rate in Gastroenterology Fellowship Training.

PubMed

Gianotti, Robert J; Oza, Sveta Shah; Tapper, Elliot B; Kothari, Darshan; Sheth, Sunil G

2016-10-01

Current guidelines suggest that a gastroenterology fellow in training needs to perform 140 colonoscopies to achieve competency. Data are limited regarding adenoma detection rate (ADR) in fellowship. To assess how fellow ADR correlates with number of colonoscopies performed. We performed a retrospective study examining consecutive colonoscopies performed by gastroenterology fellows. Fellow ADR before and after the 140 procedure benchmark was compared to colonoscopies performed by attending only with whom these fellows trained. A threshold for ideal procedure count was performed using ROC analysis. We analyzed 2021 average-risk colonoscopies performed by 10 gastroenterology fellows under the supervision of an attending physician. When fellows had performed <140 colonoscopies, the ADR was 27 % compared with an ADR of 36 % when fellows had performed >140 colonoscopies under attending supervision (p = 0.02). The ADR of fellows who had performed >140 colonoscopies under attending supervision was greater than that of attending-only colonoscopies (36 vs. 25 %, p < 0.0001). A threshold of >325 (male patients) and 539 (female patients) colonoscopies was determined to be ideal for achieving adequate ADR based on ROC analysis. Our data suggest that ADR increases after fellows perform >140 colonoscopies under attending supervision, and thereafter surpasses the ADR of attending-only colonoscopies. Some of the differences may be driven by detection of small adenomas. The findings of this study suggest that a higher threshold for number of colonoscopies performed under attending supervision may be needed to achieve adequate ADR during fellowship prior to independent practice.

Advances in space robotics

NASA Technical Reports Server (NTRS)

Varsi, Giulio

1989-01-01

The problem of the remote control of space operations is addressed by identifying the key technical challenge: the management of contact forces and the principal performance parameters. Three principal classes of devices for remote operation are identified: anthropomorphic exoskeletons, computer aided teleoperators, and supervised telerobots. Their fields of application are described, and areas in which progress has reached the level of system or subsystem laboratory demonstrations are indicated. Key test results, indicating performance at a level useful for design tradeoffs, are reported.

Studies to design and develop improved remote manipulator systems

NASA Technical Reports Server (NTRS)

Hill, J. W.; Sword, A. J.

1973-01-01

Remote manipulator control considered is based on several levels of automatic supervision which derives manipulator commands from an analysis of sensor states and task requirements. Principle sensors are manipulator joint position, tactile, and currents. The tactile sensor states can be displayed visually in perspective or replicated in the operator's control handle of perceived by the automatic supervisor. Studies are reported on control organization, operator performance and system performance measures. Unusual hardware and software details are described.

Hybrid region merging method for segmentation of high-resolution remote sensing images

NASA Astrophysics Data System (ADS)

Zhang, Xueliang; Xiao, Pengfeng; Feng, Xuezhi; Wang, Jiangeng; Wang, Zuo

2014-12-01

Image segmentation remains a challenging problem for object-based image analysis. In this paper, a hybrid region merging (HRM) method is proposed to segment high-resolution remote sensing images. HRM integrates the advantages of global-oriented and local-oriented region merging strategies into a unified framework. The globally most-similar pair of regions is used to determine the starting point of a growing region, which provides an elegant way to avoid the problem of starting point assignment and to enhance the optimization ability for local-oriented region merging. During the region growing procedure, the merging iterations are constrained within the local vicinity, so that the segmentation is accelerated and can reflect the local context, as compared with the global-oriented method. A set of high-resolution remote sensing images is used to test the effectiveness of the HRM method, and three region-based remote sensing image segmentation methods are adopted for comparison, including the hierarchical stepwise optimization (HSWO) method, the local-mutual best region merging (LMM) method, and the multiresolution segmentation (MRS) method embedded in eCognition Developer software. Both the supervised evaluation and visual assessment show that HRM performs better than HSWO and LMM by combining both their advantages. The segmentation results of HRM and MRS are visually comparable, but HRM can describe objects as single regions better than MRS, and the supervised and unsupervised evaluation results further prove the superiority of HRM.

Retheorizing Doctoral Supervision as Professional Work

ERIC Educational Resources Information Center

Halse, Christine; Malfroy, Janne

2010-01-01

A competitive higher education environment marked by increased accountability and quality assurance measures for doctoral study, including the structured training of doctoral supervisors, has highlighted the need to clearly articulate and delineate the work of supervising doctoral students. This article responds to this imperative by examining the…

Informal sources of supervision in clinical training.

PubMed

Farber, Barry A; Hazanov, Valery

2014-11-01

Although formal, assigned supervision is a potent source of learning and guidance for psychotherapy trainees, many beginning psychotherapists use other, informal sources of supervision or consultation for advice and support. Results of an online survey of beginning trainees (N = 146) indicate that other than their formally assigned supervisor, trainees most often consult with colleagues in their program, their own psychotherapist, and their significant other; that they're most likely to seek these other sources of help when they're feeling stuck or feel they've made a clinical mistake; that they do so because they need extra reassurance and suggestions; that they feel the advice given from these sources is helpful; and that they don't especially regret sharing this information. Several case examples are used to illustrate these points. Discussing clinical material with informal sources is, apparently, a great deal more common than typically acknowledged, and as such, has implications for training programs (including discussions of ethics) and formal supervision. © 2014 Wiley Periodicals, Inc.

Supervised exercise training counterbalances the adverse effects of insulin therapy in overweight/obese subjects with type 2 diabetes.

PubMed

Balducci, Stefano; Zanuso, Silvano; Cardelli, Patrizia; Salerno, Gerardo; Fallucca, Sara; Nicolucci, Antonio; Pugliese, Giuseppe

2012-01-01

To examine the effect of supervised exercise on traditional and nontraditional cardiovascular risk factors in sedentary, overweight/obese insulin-treated subjects with type 2 diabetes from the Italian Diabetes Exercise Study (IDES). The study randomized 73 insulin-treated patients to twice weekly supervised aerobic and resistance training plus structured exercise counseling (EXE) or to counseling alone (CON) for 12 months. Clinical and laboratory parameters were assessed at baseline and at the end of the study. The volume of physical activity was significantly higher in the EXE versus the CON group. Values for hemoglobin A(1c), BMI, waist circumference, high-sensitivity C-reactive protein, blood pressure, LDL cholesterol, and the coronary heart disease risk score were significantly reduced only in the EXE group. No major adverse events were observed. In insulin-treated subjects with type 2 diabetes, supervised exercise is safe and effective in improving glycemic control and markers of adiposity and inflammation, thus counterbalancing the adverse effects of insulin on these parameters.

21 CFR 225.10 - Personnel.

Code of Federal Regulations, 2010 CFR

2010-04-01

...) Qualified personnel and adequate personnel training and supervision are essential for the proper formulation, manufacture, and control of medicated feeds. Training and experience leads to proper use of equipment...

21 CFR 225.10 - Personnel.

Code of Federal Regulations, 2011 CFR

2011-04-01

...) Qualified personnel and adequate personnel training and supervision are essential for the proper formulation, manufacture, and control of medicated feeds. Training and experience leads to proper use of equipment...

Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle.

PubMed

Yao, Chen; Zhu, Xiaojin; Weigel, Kent A

2016-11-07

Genomic prediction for novel traits, which can be costly and labor-intensive to measure, is often hampered by low accuracy due to the limited size of the reference population. As an option to improve prediction accuracy, we introduced a semi-supervised learning strategy known as the self-training model, and applied this method to genomic prediction of residual feed intake (RFI) in dairy cattle. We describe a self-training model that is wrapped around a support vector machine (SVM) algorithm, which enables it to use data from animals with and without measured phenotypes. Initially, a SVM model was trained using data from 792 animals with measured RFI phenotypes. Then, the resulting SVM was used to generate self-trained phenotypes for 3000 animals for which RFI measurements were not available. Finally, the SVM model was re-trained using data from up to 3792 animals, including those with measured and self-trained RFI phenotypes. Incorporation of additional animals with self-trained phenotypes enhanced the accuracy of genomic predictions compared to that of predictions that were derived from the subset of animals with measured phenotypes. The optimal ratio of animals with self-trained phenotypes to animals with measured phenotypes (2.5, 2.0, and 1.8) and the maximum increase achieved in prediction accuracy measured as the correlation between predicted and actual RFI phenotypes (5.9, 4.1, and 2.4%) decreased as the size of the initial training set (300, 400, and 500 animals with measured phenotypes) increased. The optimal number of animals with self-trained phenotypes may be smaller when prediction accuracy is measured as the mean squared error rather than the correlation between predicted and actual RFI phenotypes. Our results demonstrate that semi-supervised learning models that incorporate self-trained phenotypes can achieve genomic prediction accuracies that are comparable to those obtained with models using larger training sets that include only animals with measured phenotypes. Semi-supervised learning can be helpful for genomic prediction of novel traits, such as RFI, for which the size of reference population is limited, in particular, when the animals to be predicted and the animals in the reference population originate from the same herd-environment.

System architecture for asynchronous multi-processor robotic control system

NASA Technical Reports Server (NTRS)

Steele, Robert D.; Long, Mark; Backes, Paul

1993-01-01

The architecture for the Modular Telerobot Task Execution System (MOTES) as implemented in the Supervisory Telerobotics (STELER) Laboratory is described. MOTES is the software component of the remote site of a local-remote telerobotic system which is being developed for NASA for space applications, in particular Space Station Freedom applications. The system is being developed to provide control and supervised autonomous control to support both space based operation and ground-remote control with time delay. The local-remote architecture places task planning responsibilities at the local site and task execution responsibilities at the remote site. This separation allows the remote site to be designed to optimize task execution capability within a limited computational environment such as is expected in flight systems. The local site task planning system could be placed on the ground where few computational limitations are expected. MOTES is written in the Ada programming language for a multiprocessor environment.

Efficient use of unlabeled data for protein sequence classification: a comparative study

PubMed Central

Kuksa, Pavel; Huang, Pai-Hsi; Pavlovic, Vladimir

2009-01-01

Background Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved accuracy if this data is supplemented with protein sequences that lack any class tags–the unlabeled data. In this study, we present a principled and biologically motivated computational framework that more effectively exploits the unlabeled data by only using the sequence regions that are more likely to be biologically relevant for better prediction accuracy. As overly-represented sequences in large uncurated databases may bias the estimation of computational models that rely on unlabeled data, we also propose a method to remove this bias and improve performance of the resulting classifiers. Results Combined with state-of-the-art string kernels, our proposed computational framework achieves very accurate semi-supervised protein remote fold and homology detection on three large unlabeled databases. It outperforms current state-of-the-art methods and exhibits significant reduction in running time. Conclusion The unlabeled sequences used under the semi-supervised setting resemble the unpolished gemstones; when used as-is, they may carry unnecessary features and hence compromise the classification accuracy but once cut and polished, they improve the accuracy of the classifiers considerably. PMID:19426450

Observations on Current Practices in Preceptor Training

ERIC Educational Resources Information Center

Volberding, Jennifer L.; Richardson, Lawrence

2015-01-01

Preceptor education is a major focus for all athletic training programs. Clinical education is a required and fundamental component of an athletic training student's education, so it is imperative the preceptors delivering and supervising clinical experiences have the highest level of training. The purpose of this exploratory qualitative…

Automatic Classification of High Resolution Satellite Imagery - a Case Study for Urban Areas in the Kingdom of Saudi Arabia

NASA Astrophysics Data System (ADS)

Maas, A.; Alrajhi, M.; Alobeid, A.; Heipke, C.

2017-05-01

Updating topographic geospatial databases is often performed based on current remotely sensed images. To automatically extract the object information (labels) from the images, supervised classifiers are being employed. Decisions to be taken in this process concern the definition of the classes which should be recognised, the features to describe each class and the training data necessary in the learning part of classification. With a view to large scale topographic databases for fast developing urban areas in the Kingdom of Saudi Arabia we conducted a case study, which investigated the following two questions: (a) which set of features is best suitable for the classification?; (b) what is the added value of height information, e.g. derived from stereo imagery? Using stereoscopic GeoEye and Ikonos satellite data we investigate these two questions based on our research on label tolerant classification using logistic regression and partly incorrect training data. We show that in between five and ten features can be recommended to obtain a stable solution, that height information consistently yields an improved overall classification accuracy of about 5%, and that label noise can be successfully modelled and thus only marginally influences the classification results.

Design of partially supervised classifiers for multispectral image data

NASA Technical Reports Server (NTRS)

Jeon, Byeungwoo; Landgrebe, David

1993-01-01

A partially supervised classification problem is addressed, especially when the class definition and corresponding training samples are provided a priori only for just one particular class. In practical applications of pattern classification techniques, a frequently observed characteristic is the heavy, often nearly impossible requirements on representative prior statistical class characteristics of all classes in a given data set. Considering the effort in both time and man-power required to have a well-defined, exhaustive list of classes with a corresponding representative set of training samples, this 'partially' supervised capability would be very desirable, assuming adequate classifier performance can be obtained. Two different classification algorithms are developed to achieve simplicity in classifier design by reducing the requirement of prior statistical information without sacrificing significant classifying capability. The first one is based on optimal significance testing, where the optimal acceptance probability is estimated directly from the data set. In the second approach, the partially supervised classification is considered as a problem of unsupervised clustering with initially one known cluster or class. A weighted unsupervised clustering procedure is developed to automatically define other classes and estimate their class statistics. The operational simplicity thus realized should make these partially supervised classification schemes very viable tools in pattern classification.

Predicting protein complexes using a supervised learning method combined with local structural information.

PubMed

Dong, Yadong; Sun, Yongqi; Qin, Chao

2018-01-01

The existing protein complex detection methods can be broadly divided into two categories: unsupervised and supervised learning methods. Most of the unsupervised learning methods assume that protein complexes are in dense regions of protein-protein interaction (PPI) networks even though many true complexes are not dense subgraphs. Supervised learning methods utilize the informative properties of known complexes; they often extract features from existing complexes and then use the features to train a classification model. The trained model is used to guide the search process for new complexes. However, insufficient extracted features, noise in the PPI data and the incompleteness of complex data make the classification model imprecise. Consequently, the classification model is not sufficient for guiding the detection of complexes. Therefore, we propose a new robust score function that combines the classification model with local structural information. Based on the score function, we provide a search method that works both forwards and backwards. The results from experiments on six benchmark PPI datasets and three protein complex datasets show that our approach can achieve better performance compared with the state-of-the-art supervised, semi-supervised and unsupervised methods for protein complex detection, occasionally significantly outperforming such methods.

Foundation doctors working at night: what training opportunities exist?

PubMed

Coomber, R; Smith, D; McGuinness, D; Shao, E; Soobrah, R; Frankel, A H

2014-07-01

Foundation Training is designed for doctors in their first two years of post-graduation. The number of foundation doctors (FD) in the UK working nights has reduced because of a perception that clinical supervision at night is unsatisfactory and that minimal training opportunities exist. We aimed to assess the value of night shifts to FDs and hypothesised that removing FDs from nights may be detrimental to training. Using a survey, we assessed the number of FDs working nights in London, FDs views on working nights and their supervision at night. We evaluated whether working at night, compared to daytime working provided opportunities to achieve foundation competencies. 83% (N = 2157/2593) of FDs completed the survey. Over 90% of FDs who worked nights felt that the experience they gained improved their ability to prioritise, make decisions and plan. FDs who worked nights reported higher scores for achieving competencies in history taking (2.67 vs. 2.51; p = 0.00), examination (2.72 vs. 2.59; p = 0.01) and resuscitation (2.27 vs. 1.96; p = 0.00). The majority (65%) felt adequately supervised. Our survey has demonstrated that FDs find working nights a valuable experience, providing important training opportunities, which are additional to those encountered during daytime working.

45 CFR 235.65 - Activities and costs not matchable as training expenditures.

Code of Federal Regulations, 2010 CFR

2010-10-01

... are met: (a) Salaries of supervisors (day-to-day supervision of staff is not a training activity); and... 45 Public Welfare 2 2010-10-01 2010-10-01 false Activities and costs not matchable as training... training expenditures. FFP is not available for the following expenditures as training costs; however, the...

Research and Demonstration for Nurse' Aide Training.

ERIC Educational Resources Information Center

Rast, Robert

A cooperative pilot project was conducted to determine the feasibility of training mentally retarded individuals to function in a hospital setting. The 3-month nurse aide training program included 1 month of formal classroom training at the college and 2 months of supervised training in a hospital. A total of 51 students entered four classes over…

38 CFR 21.1029 - Definitions.

Code of Federal Regulations, 2013 CFR

2013-07-01

... higher learning, that provides training for completion of a State-approved alternative teacher.... chapter 4C, or any agency of the Federal government authorized to supervise such training. (Authority: 38...

Assessing Hurricane Katrina Damage to the Mississippi Gulf Coast Using IKONOS Imagery

NASA Technical Reports Server (NTRS)

Spruce, Joseph; McKellip, Rodney

2006-01-01

Hurricane Katrina hit southeastern Louisiana and the Mississippi Gulf Coast as a Category 3 hurricane with storm surges as high as 9 m. Katrina devastated several coastal towns by destroying or severely damaging hundreds of homes. Several Federal agencies are assessing storm impacts and assisting recovery using high-spatial-resolution remotely sensed data from satellite and airborne platforms. High-quality IKONOS satellite imagery was collected on September 2, 2005, over southwestern Mississippi. Pan-sharpened IKONOS multispectral data and ERDAS IMAGINE software were used to classify post-storm land cover for coastal Hancock and Harrison Counties. This classification included a storm debris category of interest to FEMA for disaster mitigation. The classification resulted from combining traditional unsupervised and supervised classification techniques. Higher spatial resolution aerial and handheld photography were used as reference data. Results suggest that traditional classification techniques and IKONOS data can map wood-dominated storm debris in open areas if relevant training areas are used to develop the unsupervised classification signatures. IKONOS data also enabled other hurricane damage assessment, such as flood-deposited mud on lawns and vegetation foliage loss from the storm. IKONOS data has also aided regional Katrina vegetation damage surveys from multidate Land Remote Sensing Satellite and Moderate Resolution Imaging Spectroradiometer data.

Minimising human error in malaria rapid diagnosis: clarity of written instructions and health worker performance.

PubMed

Rennie, Waverly; Phetsouvanh, Rattanaxay; Lupisan, Socorro; Vanisaveth, Viengsay; Hongvanthong, Bouasy; Phompida, Samlane; Alday, Portia; Fulache, Mila; Lumagui, Richard; Jorgensen, Pernille; Bell, David; Harvey, Steven

2007-01-01

The usefulness of rapid diagnostic tests (RDT) in malaria case management depends on the accuracy of the diagnoses they provide. Despite their apparent simplicity, previous studies indicate that RDT accuracy is highly user-dependent. As malaria RDTs will frequently be used in remote areas with little supervision or support, minimising mistakes is crucial. This paper describes the development of new instructions (job aids) to improve health worker performance, based on observations of common errors made by remote health workers and villagers in preparing and interpreting RDTs, in the Philippines and Laos. Initial preparation using the instructions provided by the manufacturer was poor, but improved significantly with the job aids (e.g. correct use both of the dipstick and cassette increased in the Philippines by 17%). However, mistakes in preparation remained commonplace, especially for dipstick RDTs, as did mistakes in interpretation of results. A short orientation on correct use and interpretation further improved accuracy, from 70% to 80%. The results indicate that apparently simple diagnostic tests can be poorly performed and interpreted, but provision of clear, simple instructions can reduce these errors. Preparation of appropriate instructions and training as well as monitoring of user behaviour are an essential part of rapid test implementation.

When Problems Seem Overwhelming: Emphases in Teaching, Supervision, and Consultation.

ERIC Educational Resources Information Center

Kurland, Roselle; Salmon, Robert

1992-01-01

Notes that intractability of many of today's problems creates unusual stress for social workers. Focuses on preparation of social workers for effective work in today's complex social environment and suggests five major areas that need to be emphasized in teaching, supervising, and training. (Author/NB)

Supervisor Involvement and Professional Development Needs Associated with SAE Programming and Safety

ERIC Educational Resources Information Center

Lawver, Rebecca G.; Pate, Michael L.; Sorensen, Tyson J.

2016-01-01

This descriptive survey research study sought to gather evidence of school-based agriculture teachers' perceptions of community supervisor involvement with supervision and planning of students' Supervised Agricultural Experience (SAE) work activities and safety training professional development needs. Responding teachers indicated they agreed to…

Enhancing Adult Learning in Clinical Supervision

ERIC Educational Resources Information Center

Goldman, Stuart

2011-01-01

Objective/Background: For decades, across almost every training site, clinical supervision has been considered "central to the development of skills" in psychiatry. The crucial supervisor/supervisee relationship has been described extensively in the literature, most often framed as a clinical apprenticeship of the novice to the master craftsman.…

Instructional Aides: Employment, Payroll Procedures, Supervision, Performance Appraisal, Legal Aspects.

ERIC Educational Resources Information Center

Nielsen, Earl T.

Designed to assist school administrators in their efforts to secure, train, and retain the most qualified instructional aides available, the monograph discusses procedures for employment, payroll processing, aide supervision, performance appraisal, and legal aspects involved in the hiring of instructional aides. Specific topics include…

Supervision for School Psychologists in Training: Developing a Framework from Empirical Findings

ERIC Educational Resources Information Center

Gibbs, Simon; Atkinson, Cathy; Woods, Kevin; Bond, Caroline; Hill, Vivian; Howe, Julia; Morris, Sue

2016-01-01

Similar to other professional disciplines, the importance of supervision within school psychology has attracted considerable attention within recent years. Despite this, systematic review of current literature reveals a dearth of empirical literature proposing underlying theoretical structures. This study extends recent qualitative research by…

A novel class sensitive hashing technique for large-scale content-based remote sensing image retrieval

NASA Astrophysics Data System (ADS)

Reato, Thomas; Demir, Begüm; Bruzzone, Lorenzo

2017-10-01

This paper presents a novel class sensitive hashing technique in the framework of large-scale content-based remote sensing (RS) image retrieval. The proposed technique aims at representing each image with multi-hash codes, each of which corresponds to a primitive (i.e., land cover class) present in the image. To this end, the proposed method consists of a three-steps algorithm. The first step is devoted to characterize each image by primitive class descriptors. These descriptors are obtained through a supervised approach, which initially extracts the image regions and their descriptors that are then associated with primitives present in the images. This step requires a set of annotated training regions to define primitive classes. A correspondence between the regions of an image and the primitive classes is built based on the probability of each primitive class to be present at each region. All the regions belonging to the specific primitive class with a probability higher than a given threshold are highly representative of that class. Thus, the average value of the descriptors of these regions is used to characterize that primitive. In the second step, the descriptors of primitive classes are transformed into multi-hash codes to represent each image. This is achieved by adapting the kernel-based supervised locality sensitive hashing method to multi-code hashing problems. The first two steps of the proposed technique, unlike the standard hashing methods, allow one to represent each image by a set of primitive class sensitive descriptors and their hash codes. Then, in the last step, the images in the archive that are very similar to a query image are retrieved based on a multi-hash-code-matching scheme. Experimental results obtained on an archive of aerial images confirm the effectiveness of the proposed technique in terms of retrieval accuracy when compared to the standard hashing methods.

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.

PubMed

Chen, Jinying; Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong

2017-10-31

Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation-that is, creating lay definitions for these terms. Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS's performance substantially. ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS's performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. ©Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.10.2017.

29 CFR 1926.21 - Safety training and education.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 8 2011-07-01 2011-07-01 false Safety training and education. 1926.21 Section 1926.21... Provisions § 1926.21 Safety training and education. (a) General requirements. The Secretary shall, pursuant to section 107(f) of the Act, establish and supervise programs for the education and training of...

Characteristics of Athletic Training Students That Preceptors Find Desirable

ERIC Educational Resources Information Center

Carr, W. David; Thomas, Spencer; Paulsen, Jenica; Chiu, Jennifer

2016-01-01

Context: Athletic training students acquire clinical hours under the direct supervision of athletic training preceptors. Objective: The purpose of this project was to explore what characteristics preceptors desire in their athletic training students. Design and Setting: Online survey instrument. Patients or Other Participants: A total of 286…

29 CFR 1926.21 - Safety training and education.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 29 Labor 8 2013-07-01 2013-07-01 false Safety training and education. 1926.21 Section 1926.21... Provisions § 1926.21 Safety training and education. (a) General requirements. The Secretary shall, pursuant to section 107(f) of the Act, establish and supervise programs for the education and training of...

29 CFR 1926.21 - Safety training and education.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 29 Labor 8 2014-07-01 2014-07-01 false Safety training and education. 1926.21 Section 1926.21... Provisions § 1926.21 Safety training and education. (a) General requirements. The Secretary shall, pursuant to section 107(f) of the Act, establish and supervise programs for the education and training of...

29 CFR 1926.21 - Safety training and education.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 29 Labor 8 2012-07-01 2012-07-01 false Safety training and education. 1926.21 Section 1926.21... Provisions § 1926.21 Safety training and education. (a) General requirements. The Secretary shall, pursuant to section 107(f) of the Act, establish and supervise programs for the education and training of...

Marine Corps Forces South

Science.gov Websites

Survival Training Course U.S. Marine Corps Capt. Joseph with Security Cooperation Training Team 18, U.S . Marine Corps Forces, South, supervises a water survival training course at Soto Cano Air Base, Honduras . The course consisted of five training days dedicated to strengthening swimmers' skill sets and

29 CFR 1926.21 - Safety training and education.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 8 2010-07-01 2010-07-01 false Safety training and education. 1926.21 Section 1926.21... Provisions § 1926.21 Safety training and education. (a) General requirements. The Secretary shall, pursuant to section 107(f) of the Act, establish and supervise programs for the education and training of...

The Teaching Assistant Training Handbook: How To Prepare TAs for Their Responsibilities.

ERIC Educational Resources Information Center

Prieto, Loreto R., Ed.; Meyers, Steven A., Ed.

This book is designed for college faculty, staff, and administrators who train and supervise teaching assistants (TAs). It presents a collection of papers with information on designing, implementing, and improving TA training programs. Section 1, "The Training and Preparation of Graduate Teaching Assistants," includes (1) "Conceptualizing and…

Impact of the introduction of emergency ultrasound to one large UK emergency department: the REBUS study.

PubMed

Kwok, T'ng Choong; Johnson, Sue; Reed, Matthew James

2013-02-01

Firstly, to detail the experiences of one UK training region in establishing an emergency ultrasound (EU) training programme and secondly, to report the initial 30 months of EU scanning experience. Prospective study of all documented emergency department (ED) ultrasound scans. Results were extracted from written paper reports and/or electronically saved images. Details of scan date, time, type of scan, grade of operator, supervision status (whether supervised by a level 1 competent scanner) and whether the scan was clinical (performed or supervised by a level 1 operator) or training, were recorded. EU scans were reviewed for quality (internal quality assurance) and for diagnostic accuracy (external quality assurance). Between 14 January 2009 and 4 July 2011, 626 scans were performed by 41 operators. 263 (42%) scans were completed outside of normal working hours (09:00 to 17:00). There were 251 abdominal aorta and inferior vena cava scans (40% of all scans) and 198 focused assessment with sonography in trauma scans (32%). The number of scans performed by each operator varied widely. 87 scans (14%) were supervised but the majority (459; 73%) were not. 484 (77%) scans were for training purposes, 124 (20%) were clinical scans and the majority (401; 63%) were performed by either speciality registrars (ST4-6) or specialist registrars (SpR). When the three commonest types of scans performed were analysed, eight false positives and 11 false negatives were identified. Only seven of these were deemed of poor quality and none led to poor patient outcome. Since the acquisition of our ED ultrasound machine and the development of a quality assured training programme, on average 20 scans per month have been performed in the ED, with no known adverse patient outcomes.

A semi-supervised learning approach for RNA secondary structure prediction.

PubMed

Yonemoto, Haruka; Asai, Kiyoshi; Hamada, Michiaki

2015-08-01

RNA secondary structure prediction is a key technology in RNA bioinformatics. Most algorithms for RNA secondary structure prediction use probabilistic models, in which the model parameters are trained with reliable RNA secondary structures. Because of the difficulty of determining RNA secondary structures by experimental procedures, such as NMR or X-ray crystal structural analyses, there are still many RNA sequences that could be useful for training whose secondary structures have not been experimentally determined. In this paper, we introduce a novel semi-supervised learning approach for training parameters in a probabilistic model of RNA secondary structures in which we employ not only RNA sequences with annotated secondary structures but also ones with unknown secondary structures. Our model is based on a hybrid of generative (stochastic context-free grammars) and discriminative models (conditional random fields) that has been successfully applied to natural language processing. Computational experiments indicate that the accuracy of secondary structure prediction is improved by incorporating RNA sequences with unknown secondary structures into training. To our knowledge, this is the first study of a semi-supervised learning approach for RNA secondary structure prediction. This technique will be useful when the number of reliable structures is limited. Copyright © 2015 Elsevier Ltd. All rights reserved.

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

Extracting microRNA-gene relations from biomedical literature using distant supervision

PubMed Central

Clarke, Luka A.; Couto, Francisco M.

2017-01-01

Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effort necessary. This is particularly useful for biomedicine because many databases and ontologies have been made available for many biological processes, while the availability of annotated corpora is still limited. We studied the extraction of microRNA-gene relations from text. MicroRNA regulation is an important biological process due to its close association with human diseases. The proposed method, IBRel, is based on distantly supervised multi-instance learning. We evaluated IBRel on three datasets, and the results were compared with a co-occurrence approach as well as a supervised machine learning algorithm. While supervised learning outperformed on two of those datasets, IBRel obtained an F-score 28.3 percentage points higher on the dataset for which there was no training set developed specifically. To demonstrate the applicability of IBRel, we used it to extract 27 miRNA-gene relations from recently published papers about cystic fibrosis. Our results demonstrate that our method can be successfully used to extract relations from literature about a biological process without an annotated corpus. The source code and data used in this study are available at https://github.com/AndreLamurias/IBRel. PMID:28263989

Extracting microRNA-gene relations from biomedical literature using distant supervision.

PubMed

Lamurias, Andre; Clarke, Luka A; Couto, Francisco M

2017-01-01

Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effort necessary. This is particularly useful for biomedicine because many databases and ontologies have been made available for many biological processes, while the availability of annotated corpora is still limited. We studied the extraction of microRNA-gene relations from text. MicroRNA regulation is an important biological process due to its close association with human diseases. The proposed method, IBRel, is based on distantly supervised multi-instance learning. We evaluated IBRel on three datasets, and the results were compared with a co-occurrence approach as well as a supervised machine learning algorithm. While supervised learning outperformed on two of those datasets, IBRel obtained an F-score 28.3 percentage points higher on the dataset for which there was no training set developed specifically. To demonstrate the applicability of IBRel, we used it to extract 27 miRNA-gene relations from recently published papers about cystic fibrosis. Our results demonstrate that our method can be successfully used to extract relations from literature about a biological process without an annotated corpus. The source code and data used in this study are available at https://github.com/AndreLamurias/IBRel.

Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision

PubMed Central

Wallace, Byron C.; Kuiper, Joël; Sharma, Aakash; Zhu, Mingxi (Brian); Marshall, Iain J.

2016-01-01

Systematic reviews underpin Evidence Based Medicine (EBM) by addressing precise clinical questions via comprehensive synthesis of all relevant published evidence. Authors of systematic reviews typically define a Population/Problem, Intervention, Comparator, and Outcome (a PICO criteria) of interest, and then retrieve, appraise and synthesize results from all reports of clinical trials that meet these criteria. Identifying PICO elements in the full-texts of trial reports is thus a critical yet time-consuming step in the systematic review process. We seek to expedite evidence synthesis by developing machine learning models to automatically extract sentences from articles relevant to PICO elements. Collecting a large corpus of training data for this task would be prohibitively expensive. Therefore, we derive distant supervision (DS) with which to train models using previously conducted reviews. DS entails heuristically deriving ‘soft’ labels from an available structured resource. However, we have access only to unstructured, free-text summaries of PICO elements for corresponding articles; we must derive from these the desired sentence-level annotations. To this end, we propose a novel method – supervised distant supervision (SDS) – that uses a small amount of direct supervision to better exploit a large corpus of distantly labeled instances by learning to pseudo-annotate articles using the available DS. We show that this approach tends to outperform existing methods with respect to automated PICO extraction. PMID:27746703

Interactive internet-based clinical education: an efficient and cost-savings approach to point-of-care test training.

PubMed

Knapp, Herschel; Chan, Kee; Anaya, Henry D; Goetz, Matthew B

2011-06-01

We successfully created and implemented an effective HIV rapid testing training and certification curriculum using traditional in-person training at multiple sites within the U.S. Department of Veterans Affairs (VA) Healthcare System. Considering the multitude of geographically remote facilities in the nationwide VA system, coupled with the expansion of HIV diagnostics, we developed an alternate training method that is affordable, efficient, and effective. Using materials initially developed for in-person HIV rapid test in-services, we used a distance learning model to offer this training via live audiovisual online technology to educate clinicians at a remote outpatient primary care VA facility. Participants' evaluation metrics showed that this form of remote education is equivalent to in-person training; additionally, HIV testing rates increased considerably in the months following this intervention. Although there is a one-time setup cost associated with this remote training protocol, there is potential cost savings associated with the point-of-care nurse manager's time productivity by using the Internet in-service learning module for teaching HIV rapid testing. If additional in-service training modules are developed into Internet-based format, there is the potential for additional cost savings. Our cost analysis demonstrates that the remote in-service method provides a more affordable and efficient alternative compared with in-person training. The online in-service provided training that was equivalent to in-person sessions based on first-hand supervisor observation, participant satisfaction surveys, and follow-up results. This method saves time and money, requires fewer personnel, and affords access to expert trainers regardless of geographic location. Further, it is generalizable to training beyond HIV rapid testing. Based on these consistent implementation successes, we plan to expand use of online training to include remote VA satellite facilities spanning several states for a variety of diagnostic devices. Ultimately, Internet-based training has the potential to provide "big city" quality of care to patients at remote (rural) clinics.

[Analysis of interventions designed to improve clinical supervision of student nurses in Benin].

PubMed

Otti, André; Pirson, Magali; Piette, Danielle; Coppieters T Wallant, Yves

2017-12-05

The absence of an explicit and coherent conception of the articulation between theory and practice in the reform of nursing training in Benin has resulted in poor quality clinical supervision of student nurses. The objective of this article is to analyze two interventions designed to improve the quality of supervision. A student welcome booklet developed by means of a consultative and provocative participatory approach was tested with twelve student nurses versus a control group. Content analysis of the data collected by individual semi-directed interviews and during two focus groups demonstrated the value of this tool. Student nurses were also taught to use to training diaries inspired by the ?experiential learning? Training diaries were analysed using a grid based on the descriptive elements of the five types of Scheepers training diaries (2008). According to the student nurses, the welcome booklet provided them with structured information to be used as a reference during their training and a better understanding of their teachers, and allowed them to situate the resources of the training course with a lower level of stress. Fifty-eight per cent of the training diaries were are mosaics, reflecting the reflective practice and self-regulated learning of student nurses. This activity also promoted metacognitive dialogue with their supervisors. The student welcome booklet appeared to facilitate integration of student nurses into the clinical setting and promoted professional and organizational socialization. The training diary improved the quality of clinical learning by repeated reflective observation of student nurses and helped to maintain permanent communication with the supervisors.

Divvying up the Raise Pool

ERIC Educational Resources Information Center

McGregor, James H. S.

2008-01-01

Teaching is not confined to the classroom. Faculty members supervise student research at every level. They contribute to program maintenance and curriculum development. They administer subprograms, advise students, and serve on university committees. However remote from research, all of those activities contribute to a department's educational…

Global retrieval of soil moisture and vegetation properties using data-driven methods

NASA Astrophysics Data System (ADS)

Rodriguez-Fernandez, Nemesio; Richaume, Philippe; Kerr, Yann

2017-04-01

Data-driven methods such as neural networks (NNs) are a powerful tool to retrieve soil moisture from multi-wavelength remote sensing observations at global scale. In this presentation we will review a number of recent results regarding the retrieval of soil moisture with the Soil Moisture and Ocean Salinity (SMOS) satellite, either using SMOS brightness temperatures as input data for the retrieval or using SMOS soil moisture retrievals as reference dataset for the training. The presentation will discuss several possibilities for both the input datasets and the datasets to be used as reference for the supervised learning phase. Regarding the input datasets, it will be shown that NNs take advantage of the synergy of SMOS data and data from other sensors such as the Advanced Scatterometer (ASCAT, active microwaves) and MODIS (visible and infra red). NNs have also been successfully used to construct long time series of soil moisture from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) and SMOS. A NN with input data from ASMR-E observations and SMOS soil moisture as reference for the training was used to construct a dataset sharing a similar climatology and without a significant bias with respect to SMOS soil moisture. Regarding the reference data to train the data-driven retrievals, we will show different possibilities depending on the application. Using actual in situ measurements is challenging at global scale due to the scarce distribution of sensors. In contrast, in situ measurements have been successfully used to retrieve SM at continental scale in North America, where the density of in situ measurement stations is high. Using global land surface models to train the NN constitute an interesting alternative to implement new remote sensing surface datasets. In addition, these datasets can be used to perform data assimilation into the model used as reference for the training. This approach has recently been tested at the European Centre for Medium-Range Weather Forecasts (ECMWF). Finally, retrievals using radiative transfer models can also be used as a reference SM dataset for the training phase. This approach was used to retrieve soil moisture from ASMR-E, as mentioned above, and also to implement the official European Space Agency (ESA) SMOS soil moisture product in Near-Real-Time. We will finish with a discussion of the retrieval of vegetation parameters from SMOS observations using data-driven methods.

An Analysis of Peer Feedback Exchanged in Group Supervision

ERIC Educational Resources Information Center

Wahesh, Edward; Kemer, Gulsah; Willis, Ben T.; Schmidt, Christopher D.

2017-01-01

The authors examined the peer feedback exchanged in 2 supervision groups of counselors-in-training (CITs). CITs generated 169 statements grouped into 10 clusters representing 5 regions of peer feedback: counselor focus and engagement, insight-oriented skills, exploratory skills, therapeutic alliance, and intervention activities. Both positive and…

20 CFR 672.310 - What eligible activities may be funded under the YouthBuild program?

Code of Federal Regulations, 2012 CFR

2012-04-01

... shadowing; and (4) Job search assistance. (c) Other eligible activities include: (1) Supervision and... for homeless individuals and families or low-income families, or transitional housing for homeless individuals and families; (2) Supervision and training for participants in the rehabilitation or construction...

20 CFR 672.310 - What eligible activities may be funded under the YouthBuild program?

Code of Federal Regulations, 2014 CFR

2014-04-01

... shadowing; and (4) Job search assistance. (c) Other eligible activities include: (1) Supervision and... for homeless individuals and families or low-income families, or transitional housing for homeless individuals and families; (2) Supervision and training for participants in the rehabilitation or construction...

20 CFR 672.310 - What eligible activities may be funded under the YouthBuild program?

Code of Federal Regulations, 2013 CFR

2013-04-01

... shadowing; and (4) Job search assistance. (c) Other eligible activities include: (1) Supervision and... for homeless individuals and families or low-income families, or transitional housing for homeless individuals and families; (2) Supervision and training for participants in the rehabilitation or construction...

Magazine Picture Collage in Group Supervision

ERIC Educational Resources Information Center

Shepard, Blythe C.; Guenette, Francis L.

2010-01-01

A magazine picture collage activity was used with three female counsellor education students as a vehicle to support them in processing their experience as counsellors in training. The use of magazine picture collage in group supervision is described, and the benefits and challenges are presented. The collages served as jumping-off points for…

Good Undergraduate Dissertation Supervision: Perspectives of Supervisors and Dissertation Coordinators

ERIC Educational Resources Information Center

Roberts, Lynne D.; Seaman, Kristen

2018-01-01

There is a paucity of research, training, and material available to support supervisors of undergraduate dissertation students. This article explores what "good" supervision might look like at this level. Interviews were conducted with eight new supervisors and six dissertation coordinators using a critical incident methodology. Thematic…

30 CFR 250.1616 - Supervision, surveillance, and training.

Code of Federal Regulations, 2014 CFR

2014-07-01

... THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Sulphur... supervision of drilling operations at all times. (b) From the time drilling operations are initiated and until the well is completed or abandoned, a member of the drilling crew or the toolpusher shall maintain rig...

Four Models of Clinical Supervision in Virginia.

ERIC Educational Resources Information Center

Buckley, Pamela K.; And Others

The Virginia State Department of Education funded four, 3-year pilot clinical faculty programs to provide training and compensation to cooperating teachers for the purpose of improving the supervision of student teachers. Two of the programs which received grants were collaborative projects: partners Virginia Tech University and Hollins College…

Automatic Classification Using Supervised Learning in a Medical Document Filtering Application.

ERIC Educational Resources Information Center

Mostafa, J.; Lam, W.

2000-01-01

Presents a multilevel model of the information filtering process that permits document classification. Evaluates a document classification approach based on a supervised learning algorithm, measures the accuracy of the algorithm in a neural network that was trained to classify medical documents on cell biology, and discusses filtering…

8 CFR 332.3 - Instruction and training in citizenship responsibilities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... in the community to establish and maintain classes within, or under the supervision of, the public... for naturalization who are enrolled in instructional courses in or under the supervision of the public... distributed by the regional offices of the Service to the appropriate representatives of the public schools...

8 CFR 332.3 - Instruction and training in citizenship responsibilities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... in the community to establish and maintain classes within, or under the supervision of, the public... for naturalization who are enrolled in instructional courses in or under the supervision of the public... distributed by the regional offices of the Service to the appropriate representatives of the public schools...

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

Development of remote sensing based site specific weed management for Midwest mint production

NASA Astrophysics Data System (ADS)

Gumz, Mary Saumur Paulson

Peppermint and spearmint are high value essential oil crops in Indiana, Michigan, and Wisconsin. Although the mints are profitable alternatives to corn and soybeans, mint production efficiency must improve in order to allow industry survival against foreign produced oils and synthetic flavorings. Weed control is the major input cost in mint production and tools to increase efficiency are necessary. Remote sensing-based site-specific weed management offers potential for decreasing weed control costs through simplified weed detection and control from accurate site specific weed and herbicide application maps. This research showed the practicability of remote sensing for weed detection in the mints. Research was designed to compare spectral response curves of field grown mint and weeds, and to use these data to develop spectral vegetation indices for automated weed detection. Viability of remote sensing in mint production was established using unsupervised classification, supervised classification, handheld spectroradiometer readings and spectral vegetation indices (SVIs). Unsupervised classification of multispectral images of peppermint production fields generated crop health maps with 92 and 67% accuracy in meadow and row peppermint, respectively. Supervised classification of multispectral images identified weed infestations with 97% and 85% accuracy for meadow and row peppermint, respectively. Supervised classification showed that peppermint was spectrally distinct from weeds, but the accuracy of these measures was dependent on extensive ground referencing which is impractical and too costly for on-farm use. Handheld spectroradiometer measurements of peppermint, spearmint, and several weeds and crop and weed mixtures were taken over three years from greenhouse grown plants, replicated field plots, and production peppermint and spearmint fields. Results showed that mints have greater near infrared (NIR) and lower green reflectance and a steeper red edge slope than all weed species. These distinguishing characteristics were combined to develop narrow band and broadband spectral vegetation indices (SVIs, ratios of NIR/green reflectance), that were effective in differentiating mint from key weed species. Hyperspectral images of production peppermint and spearmint fields were then classified using SVI-based classification. Narrowband and broadband SVIs classified early season peppermint and spearmint with 64 to 100% accuracy compared to 79 to 100% accuracy for supervised classification of multispectral images of the same fields. Broadband SVIs have potential for use as an automated spectral indicator for weeds in the mints since they require minimal ground referencing and can be calculated from multispectral imagery which is cheaper and more readily available than hyperspectral imagery. This research will allow growers to implement remote sensing based site specific weed management in mint resulting in reduced grower input costs and reduced herbicide entry into the environment and will have applications in other specialty and meadow crops.

Preparing supervisors to provide safeguarding supervision for healthcare staff.

PubMed

Smikle, Marcia

2017-11-28

This paper outlines why experienced supervisors at a London healthcare provider received skills training so they could offer safeguarding supervision to front-line colleagues with case management responsibilities for vulnerable children and young people. It examines how supervisors use the main functions of supervision and a cycle of reflection in clinical practice with supervisees. As well as the professional issues encountered by supervisors in relation to the benefits, the challenges of providing supervision and the action required to make safeguarding supervision a part of the organisational culture are also explored. ©2017 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.

Toward the optimization of PC-based training

NASA Astrophysics Data System (ADS)

Cho, Kohei; Murai, Shunji

Since 1992, the National Space Development Agency of Japan (NASDA) and the Economic and Social Commission for Asia and the Pacific (ESCAP) have been co-organising the Regional Remote Sensing Seminar on Tropical Ecosystem Management (Program Chairman: Prof. Shunji Murai) every year in some country in Asia. In these seminars, the members of the ISPRS Working Group VI/2 'Computer Assisted Teaching' have been performing a PC-based hands-on-training on remote sensing and GIS for beginners. The main objective of the training was to transfer not only knowledge but also the technology of remote sensing and GIS to the beginners. The software and CD-ROM data set provided at the training were well designed not only for training but also for practical data analysis. This paper presents an outline of the training and discusses the optimisation of PC-based training for remote sensing and GIS.

Augmented Reality for the Improvement of Remote Laboratories: An Augmented Remote Laboratory

ERIC Educational Resources Information Center

Andujar, J. M.; Mejias, A.; Marquez, M. A.

2011-01-01

Augmented reality (AR) provides huge opportunities for online teaching in science and engineering, as these disciplines place emphasis on practical training and unsuited to completely nonclassroom training. This paper proposes a new concept in virtual and remote laboratories: the augmented remote laboratory (ARL). ARL is being tested in the first…

Metabolic risk management, physical exercise and lifestyle counselling in low-active adults: controlled randomized trial (BELLUGAT).

PubMed

Ensenyat, Assumpta; Espigares-Tribo, Gemma; Machado, Leonardo; Verdejo, Francisco José; Rodriguez-Arregui, Rosa; Serrano, José; Miret, Marta; Galindo, Gisela; Blanco, Alfonso; Marsal, Josep-Ramon; Sarriegui, Susana; Sinfreu-Bergues, Xenia; Serra-Paya, Noemi

2017-03-14

The primary aim of this study is to evaluate the effectiveness of different doses (intensity) of supervised exercise training - concomitant with lifestyle counselling - as a primary care intervention tool for the management of metabolic syndrome risk factors in low-active adults with one or more such factors (programme name in Catalan: Bellugat de CAP a peus). Three-arm, randomized controlled clinical trial implemented in the primary care setting, with a duration of 40 weeks (16 weeks intervention and 24-week follow-up). Adults aged 30 to 55 years with metabolic risk factors will be randomized into three intervention groups: 1) aerobic interval training (16 supervised training lessons) plus a healthy lifestyle counselling programme (6 group and 3 individual meetings); 2) low-to-moderate intensity continuous training (16 supervised training lessons) plus the same counselling programme; or 3) the counselling- programme without any supervised physical exercise. The main output variables assessed will be risk factors for metabolic syndrome (waist circumference, blood pressure, and levels of plasma triglycerides, high-density lipoproteins and glucose), systemic inflammation, cardiorespiratory fitness, physical activity and sedentary behaviour, dietary habits, health-related quality of life, self-efficacy and empowerment. Economic factors will also be analysed in order to determine the cost-effectiveness of the programme. These variables will be assessed three times during the study: at baseline, at the end of the intervention, and at follow-up. We estimate to recruit 35 participants per group. The results of this study will provide insight into the immediate and medium-term effects on metabolic risk and lifestyle of a combined approach involving aerobic interval training and a multidisciplinary behavioural intervention. If effective, the proposed intervention would provide both researchers and practitioners in this field with a platform on which to develop similar intervention programmes for tackling the repercussions of an unhealthy lifestyle. Clinical trials.gov. NTC02832453 . Registered 6 July 2016 (retrospectively registered).

In-training assessment: qualitative study of effects on supervision and feedback in an undergraduate clinical rotation.

PubMed

Daelmans, H E M; Overmeer, R M; van der Hem-Stokroos, H H; Scherpbier, A J J A; Stehouwer, C D A; van der Vleuten, C P M

2006-01-01

Supervision and feedback are essential factors that contribute to the learning environment in the context of workplace learning and their frequency and quality can be improved. Assessment is a powerful tool with which to influence students' learning and supervisors' teaching and thus the learning environment. To investigate an in-training assessment (ITA) programme in action and to explore its effects on supervision and feedback. A qualitative study using individual, semistructured interviews. Eight students and 17 assessors (9 members of staff and 8 residents) in the internal medicine undergraduate clerkship at Vrije Universiteit Medical Centre, Amsterdam, the Netherlands. The ITA programme in action differed from the intended programme. Assessors provided hardly any follow-up on supervision and feedback given during assessments. Although students wanted more supervision and feedback, they rarely asked for it. Students and assessors failed to integrate the whole range of competencies included in the ITA programme into their respective learning and supervision and feedback. When giving feedback, assessors rarely gave borderline or fail judgements. If an ITA programme in action is to be congruent with the intended programme, the implementation of the programme must be monitored. It is also necessary to provide full information about the programme and to ensure this information is given repeatedly. Introducing an ITA programme that includes the assessment of several competencies does not automatically lead to more attention being paid to these competencies in terms of supervision and feedback. Measures that facilitate change in the learning environment seem to be a prerequisite for enabling the assessment programme to steer the learning environment.

Image processing developments and applications for water quality monitoring and trophic state determination

NASA Technical Reports Server (NTRS)

Blackwell, R. J.

1982-01-01

Remote sensing data analysis of water quality monitoring is evaluated. Data anaysis and image processing techniques are applied to LANDSAT remote sensing data to produce an effective operational tool for lake water quality surveying and monitoring. Digital image processing and analysis techniques were designed, developed, tested, and applied to LANDSAT multispectral scanner (MSS) data and conventional surface acquired data. Utilization of these techniques facilitates the surveying and monitoring of large numbers of lakes in an operational manner. Supervised multispectral classification, when used in conjunction with surface acquired water quality indicators, is used to characterize water body trophic status. Unsupervised multispectral classification, when interpreted by lake scientists familiar with a specific water body, yields classifications of equal validity with supervised methods and in a more cost effective manner. Image data base technology is used to great advantage in characterizing other contributing effects to water quality. These effects include drainage basin configuration, terrain slope, soil, precipitation and land cover characteristics.

Weakly supervised image semantic segmentation based on clustering superpixels

NASA Astrophysics Data System (ADS)

Yan, Xiong; Liu, Xiaohua

2018-04-01

In this paper, we propose an image semantic segmentation model which is trained from image-level labeled images. The proposed model starts with superpixel segmenting, and features of the superpixels are extracted by trained CNN. We introduce a superpixel-based graph followed by applying the graph partition method to group correlated superpixels into clusters. For the acquisition of inter-label correlations between the image-level labels in dataset, we not only utilize label co-occurrence statistics but also exploit visual contextual cues simultaneously. At last, we formulate the task of mapping appropriate image-level labels to the detected clusters as a problem of convex minimization. Experimental results on MSRC-21 dataset and LableMe dataset show that the proposed method has a better performance than most of the weakly supervised methods and is even comparable to fully supervised methods.

Licencing and Training Reform in the Australian Aircraft Maintenance Industry

ERIC Educational Resources Information Center

Hampson, Ian; Fraser, Doug

2016-01-01

The training and licencing of aircraft maintenance engineers fulfils a crucial protective function since it is they who perform and supervise aircraft maintenance and certify that planes are safe afterwards. In Australia, prior to training reform, a trades-based system of aircraft maintenance engineer training existed in an orderly relation with…

Directory of Instructional Programs in Supervision and Management Training.

ERIC Educational Resources Information Center

Civil Service Commission, Washington, DC. Training Assistance Div.

This directory, which is designed for the use of training officers in the Washington, D.C. area in prescribing learning programs to meet employee training needs, describes available group and self instructional programs used for the training of supervisors and managers. Each of the 21 courses listed contains the pertinent information necessary to…

Training, supervision and quality of care in selected integrated community case management (iCCM) programmes: A scoping review of programmatic evidence.

PubMed

Bosch-Capblanch, Xavier; Marceau, Claudine

2014-12-01

To describe the training, supervision and quality of care components of integrated Community Case Management (iCCM) programmes and to draw lessons learned from existing evaluations of those programmes. Scoping review of reports from 29 selected iCCM programmes purposively provided by stakeholders containing any information relevant to understand quality of care issues. The number of people reached by iCCM programmes varied from the tens of thousands to more than a million. All programmes aimed at improving access of vulnerable populations to health care, focusing on the main childhood illnesses, managed by Community Health Workers (CHW), often selected bycommunities. Training and supervision were widely implemented, in different ways and intensities, and often complemented with tools (eg, guides, job aids), supplies, equipment and incentives. Quality of care was measured using many outcomes (eg, access or appropriate treatment). Overall, there seemed to be positive effects for those strategies that involved policy change, organisational change, standardisation of clinical practices and alignment with other programmes. Positive effects were mostly achieved in large multi-component programmes. Mild or no effects have been described on mortality reduction amongst the few programmes for which data on this outcome was available to us. Promising strategies included teaming-up of CHW, micro-franchising or social franchising. On-site training and supervision of CHW have been shown to improve clinical practices. Effects on caregivers seemed positive, with increases in knowledge, care seeking behaviour, or caregivers' basic disease management. Evidence on iCCM is often of low quality, cannot relate specific interventions or the ways they are implemented with outcomes and lacks standardisation; this limits the capacity to identify promising strategies to improve quality of care. Large, multi-faceted, iCCM programmes, with strong components of training, supervision, which included additional support of equipment and supplies, seemed to improve selected quality of care outcomes. However, current evaluation and reporting practices need to be revised in a new research agenda to address the methodological challenges of iCCM evaluations.

Training, supervision and quality of care in selected integrated community case management (iCCM) programmes: A scoping review of programmatic evidence

PubMed Central

Bosch–Capblanch, Xavier; Marceau, Claudine

2014-01-01

Aim To describe the training, supervision and quality of care components of integrated Community Case Management (iCCM) programmes and to draw lessons learned from existing evaluations of those programmes. Methods Scoping review of reports from 29 selected iCCM programmes purposively provided by stakeholders containing any information relevant to understand quality of care issues. Results The number of people reached by iCCM programmes varied from the tens of thousands to more than a million. All programmes aimed at improving access of vulnerable populations to health care, focusing on the main childhood illnesses, managed by Community Health Workers (CHW), often selected bycommunities. Training and supervision were widely implemented, in different ways and intensities, and often complemented with tools (eg, guides, job aids), supplies, equipment and incentives. Quality of care was measured using many outcomes (eg, access or appropriate treatment). Overall, there seemed to be positive effects for those strategies that involved policy change, organisational change, standardisation of clinical practices and alignment with other programmes. Positive effects were mostly achieved in large multi–component programmes. Mild or no effects have been described on mortality reduction amongst the few programmes for which data on this outcome was available to us. Promising strategies included teaming–up of CHW, micro–franchising or social franchising. On–site training and supervision of CHW have been shown to improve clinical practices. Effects on caregivers seemed positive, with increases in knowledge, care seeking behaviour, or caregivers’ basic disease management. Evidence on iCCM is often of low quality, cannot relate specific interventions or the ways they are implemented with outcomes and lacks standardisation; this limits the capacity to identify promising strategies to improve quality of care. Conclusion Large, multi–faceted, iCCM programmes, with strong components of training, supervision, which included additional support of equipment and supplies, seemed to improve selected quality of care outcomes. However, current evaluation and reporting practices need to be revised in a new research agenda to address the methodological challenges of iCCM evaluations. PMID:25520793

Remote voice training: A case study on space shuttle applications, appendix C

NASA Technical Reports Server (NTRS)

Mollakarimi, Cindy; Hamid, Tamin

1990-01-01

The Tile Automation System includes applications of automation and robotics technology to all aspects of the Shuttle tile processing and inspection system. An integrated set of rapid prototyping testbeds was developed which include speech recognition and synthesis, laser imaging systems, distributed Ada programming environments, distributed relational data base architectures, distributed computer network architectures, multi-media workbenches, and human factors considerations. Remote voice training in the Tile Automation System is discussed. The user is prompted over a headset by synthesized speech for the training sequences. The voice recognition units and the voice output units are remote from the user and are connected by Ethernet to the main computer system. A supervisory channel is used to monitor the training sequences. Discussions include the training approaches as well as the human factors problems and solutions for this system utilizing remote training techniques.

How should we train physicians for remote and rural practice? What the present incumbents say.

PubMed

Wilson, P; McHardy, K C

2004-08-01

To obtain the views of the current remote and rural consultant physicians with regards to their opinion on components of an ideal training programme for an aspirant remote and rural physician. A questionnaire was designed to elicit information in three main areas: experience and training prior to appointment, current pattern of service provision and opinions on components of an ideal training programme for remote and rural physicians. Five Scottish rural hospitals in Shetland, Wick, Stornoway, Fort William and Oban. Thirteen consultant physicians based in the five rural hospitals chosen. The response rate to the questionnaire was 85%. All had previous experience in acute general medicine, and most in one of a variety of subspecialties. Each physician had developed interests and skills in other branches of medicine following appointment in order to meet local service needs. Most felt that there was a need for expansion of consultant numbers in the future, 45% citing the European Working Time Directive as the major reason. There was an encouraging degree of commonality between the current consultants as to what they felt should be included in a training programme for remote and rural physicians. There are challenges in meeting training needs for consultant physicians intending to work in a remote setting. Development of broader-based training than offered by most current dual training programmes is essential. Only imaginative approaches to training will produce physicians who are fit for purpose.

Using virtual data for training deep model for hand gesture recognition

NASA Astrophysics Data System (ADS)

Nikolaev, E. I.; Dvoryaninov, P. V.; Lensky, Y. Y.; Drozdovsky, N. S.

2018-05-01

Deep learning has shown real promise for the classification efficiency for hand gesture recognition problems. In this paper, the authors present experimental results for a deeply-trained model for hand gesture recognition through the use of hand images. The authors have trained two deep convolutional neural networks. The first architecture produces the hand position as a 2D-vector by input hand image. The second one predicts the hand gesture class for the input image. The first proposed architecture produces state of the art results with an accuracy rate of 89% and the second architecture with split input produces accuracy rate of 85.2%. In this paper, the authors also propose using virtual data for training a supervised deep model. Such technique is aimed to avoid using original labelled images in the training process. The interest of this method in data preparation is motivated by the need to overcome one of the main challenges of deep supervised learning: using a copious amount of labelled data during training.

Rodney K. Goodyear: Award for Distinguished Career Contributions to Education and Training in Psychology.

PubMed

2015-11-01

The Award for Distinguished Career Contributions to Education and Training in Psychology is given in recognition of the efforts of psychologists who have made distinguished contributions to education and training, who have produced imaginative innovations, or who have been involved in the developmental phases of programs in education and training in psychology. The Career designation is added to the award at the discretion of the Education and Training Awards Committee to recognize continuous significant contributions made over a lifelong career in psychology. The 2015 recipient of this award is Rodney K. Goodyear "for his substantive, sustained, and enduring contributions to research and practice in the training and supervision of students and educators in professional psychology, and for his leadership in helping to establish competency standards in the area of clinical supervision both in the United States and internationally. Goodyear's award citation, biography, and a selected bibliography are presented here. (c) 2015 APA, all rights reserved).

When approved is not enough: development of a supervision consultation model.

PubMed

Green, S; Shilts, L; Bacigalupe, G

2001-10-01

The dramatic increase in the literature that addresses family therapy training and supervision over the last decade has been predominantly in the area of theory, rather than practice. This article describes the development of a meta-supervisory learning context for approved supervisors and provides examples of interactions between supervisors that subsequently influenced both therapy and supervision. We delineate the assumptions that inform our work and offer specific guidelines for supervisors who wish to implement a similar model in their own contexts. We provide suggestions for a proactive refiguring of supervision that may have profound effects and benefits for supervisors and supervisees alike.

An Overview of the Elements that Influence Efficiency in Postgraduate Supervisory Practice Arrangements

ERIC Educational Resources Information Center

Buttery, Ernest Alan; Richter, Ewa Maria; Filho, Walter Leal

2005-01-01

Purpose: To outline the role of the group supervision model in postgraduate training, especially its advantages in respect of research involving industry sponsors. Design/methodology/approach: The paper considers the various categories of supervision and the pivotal role played by the supervisor. It analyses indicators of supervisor effectiveness…

An Integrative Social-Cognitive Developmental Model of Supervision for Substance Abuse Counselors-in-Training

ERIC Educational Resources Information Center

Sias, Shari M.; Lambie, Glenn W.

2008-01-01

Substance abuse counselors (SACs) at higher levels of social-cognitive maturity manage complex situations and perform counselor-related tasks more effectively than individuals at lower levels of development. This article presents an integrative clinical supervision model designed to promote the social-cognitive maturity (ego development;…

Clinical Supervision Model in Teaching Practice: Does It Make a Difference in Supervisors' Performance?

ERIC Educational Resources Information Center

Gürsoy, Esim; Kesner, John Edward; Salihoglu, Umut Muharrem

2016-01-01

In search for better practices there has been a plethora of research in preservice teacher training. To contribute to the literature, the current study aims at investigating teacher trainees' and cooperating teachers' views about the performance and contribution of supervisors during teaching practice after using Clinical Supervision Model.…

The Relationship between Supervisors' Power Bases and Supervisory Styles

ERIC Educational Resources Information Center

Tanaka, Hideyuki

2009-01-01

Despite its critical role in counselor training, empirical research on clinical supervision is generally limited (Bernard & Goodyear, 2003; Ellis & Ladany, 2007). This is also applied to an area of power dynamics in supervision. This study tested the relationship between the two aspects of power dynamics; namely, supervisors' power bases (i.e.,…

Supervision of Applied Sport Psychology in Graduate Programs in the USA

ERIC Educational Resources Information Center

Meir, Gily

2018-01-01

Supervision is a hierarchical and evaluative relationship extending over time between a supervisor and a supervisee that permits quality control of service delivery of neophyte practitioners (Bernard & Goodyear, 2009; Watson, Zizzi, Etzel, & Lubker, 2004). It is a cardinal part of the training and a requirement to become a certified…

Self-Help for Teachers: Collegial Supervision in an Urban School.

ERIC Educational Resources Information Center

Mattaliano, A. Peter

Teachers in inner city schools today are usually unprepared for dealing effectively with a mobile, rapidly changing, culturally varied population. A program to provide such training, based upon the concept of staff self help through collegial supervision, was implemented in the Francis M. Leahy Elementary School in Lawrence, Massachusetts. Over a…

When Approved Is not Enough: Development of a Supervision Consultation Model.

ERIC Educational Resources Information Center

Green, Shelley; Shilts, Lee; Bacigalupe, Gonzalo

2001-01-01

The dramatic increase in literature that addresses family therapy training and supervision over the last decade has been predominantly in the area of theory, rather than practice. This article describes the development of a meta-supervisory learning context for approved supervisors and provides examples of interactions between supervisors that…

Epiphany? A Case Study of Learner-Centredness in Educational Supervision

ERIC Educational Resources Information Center

Talbot, Martin

2009-01-01

Graduate medical trainees in the UK appreciate mentors who demonstrate learner-centredness as modelled by Rogers. This case study was undertaken to examine how, in one instance, learner-centred may be supervision within the tight confines of a formal, competency-based programme of training. Four formal interviews (in 18 months), were analysed to…

Mr. Traore introduces team supervision. Case scenarios for training and group discussion.

PubMed

1993-01-01

This supplement to "The Family Planning Manager" presents a case example and five case discussion questions to illustrate the concept of team supervision. In contrast to traditional supervision, where an emphasis is placed on inspection and the uncovering of deficiencies, team supervision uses a facilitative, advocacy-oriented approach. Problem-solving and decision-making responsibilities are assumed by the clinic staff, who identify and analyze problems in group meetings. Thus, the focus shifts from assessing individual performance to evaluating how well they meet clinic objectives as a team. In the team meetings, the visiting supervisor asks the team as a whole to analyze clinic problems and ensures that all staff members are aware of the significance of their contributions. The supervisor also clarifies the division of labor required for implementing solutions and performance standards. Staff are asked if they have concerns they would like communicated to the next organizational level. The supervisory report of the visit can serve as a guide for implementing the recommendations. This approach may require that supervisors and clinic managers receive training in problem solving, motivating staff, team building, and providing constructive feedback.

Self-Supervised Chinese Ontology Learning from Online Encyclopedias

PubMed Central

Shao, Zhiqing; Ruan, Tong

2014-01-01

Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for ontology learning and describe how to transfer the structured knowledge in encyclopedias, including article titles, category labels, redirection pages, taxonomy systems, and InfoBox modules, into ontological form. In order to avoid the errors in encyclopedias and enrich the learnt ontology, we also apply some machine learning based methods. First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO. PMID:24715819

Self-supervised Chinese ontology learning from online encyclopedias.

PubMed

Hu, Fanghuai; Shao, Zhiqing; Ruan, Tong

2014-01-01

Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for ontology learning and describe how to transfer the structured knowledge in encyclopedias, including article titles, category labels, redirection pages, taxonomy systems, and InfoBox modules, into ontological form. In order to avoid the errors in encyclopedias and enrich the learnt ontology, we also apply some machine learning based methods. First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO.

Guidelines for the training, credentialing, use, and supervision of speech-language pathology assistants. Task Force on Support Personnel.

PubMed

1996-01-01

These guidelines are an official statement of the American Speech-Language-Hearing Association. They provide guidance on the training, credentialing, use, and supervision of one category of support personnel in speech-language pathology: speech-language pathology assistants. Guidelines are not official standards of the Association. They were developed by the Task Force on Support Personnel: Dennis J. Arnst, Kenneth D. Barker, Ann Olsen Bird, Sheila Bridges, Linda S. DeYoung, Katherine Formichella, Nena M. Germany, Gilbert C. Hanke, Ann M. Horton, DeAnne M. Owre, Sidney L. Ramsey, Cathy A. Runnels, Brenda Terrell, Gerry W. Werven, Denise West, Patricia A. Mercaitis (consultant), Lisa C. O'Connor (consultant), Frederick T. Spahr (coordinator), Diane Paul-Brown (associate coordinator), Ann L. Carey (Executive Board liaison). The 1994 guidelines supersede the 1981 guidelines entitled, "Guidelines for the Employment and Utilization of Supportive Personnel" (Asha, March 1981, 165-169). Refer to the 1995 position statement on the "Training, Credentialing, Use, and Supervision of Support Personnel in Speech-Language Pathology" (Asha, 37 [Suppl. 14], 21).

[Specific neurology emergency training of medical residents in Spain].

PubMed

Morales Ortiz, A; Martín González, M R; Frank García, A; Hernández Pérez, M A; Rodríguez-Antigüedad, A; Jiménez Hernández, M D; Delgado Bona, G; Peinazo Arias, M; Gallardo Corral, E; Martínez Vila, E; Martínez Villa, E; Matias Guiu, J

2010-01-01

Training in emergency neurological illness is very important for the neurologist today. The Neurology National Commission has decided to obtain information on the work duties of neurologist residents in the different neurology units of the hospitals of our country and the supervision of the training in urgent pathology. A survey of adult neurology program directors to find out if their hospital fulfils the program criteria for the residents duty work. A response rate of 98.5% was obtained. In 47% of the neurology training units a neurologist supervised resident duty work 24 hours a day. In the rest of the neurology training units they did not fulfil all the training program criteria. We analysed the differences between the neurologist training units, and there are great differences between the hospitals and all regions and communities in our country. Only 65% of neurology residents do their education in neurology units who fulfill the national program criteria on training on urgent neurology pathology There is too much diversity in resident duty work in neurologist training units and not all the units meet the national training program requirements. Copyright © 2010 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

The amount of supervision trainees receive during neonatal resuscitation is variable and often dependent on subjective criteria.

PubMed

Kane, Sara K; Lorant, Diane E

2018-05-24

Measure variation in delivery room supervision provided by neonatologists using hypothetical scenarios and determine the factors used to guide entrustment decisions. A survey was distributed to members of the American Academy of Pediatrics Section on Perinatal Pediatrics. Neonatologists were presented with various newborn resuscitation scenarios and asked to choose the level of supervision they thought appropriate and grade factors on their importance in making entrustment decisions. There was significant variation in supervision neonatologists deemed necessary for most scenarios (deviation from the mode 0.36-0.69). Post-graduate year of training and environmental circumstances influence the amount of autonomy neonatologists grant trainees. Few neonatologists have objective assessment of a trainees' competence in neonatal resuscitation available to them and most never document how the trainee performed. Delivery room supervision is often determined by subjective evaluation of trainees' competence and may not provide a level of supervision congruent with their capability.

Supporting an emerging workforce: characteristics of rural and remote therapy assistants in Western Australia.

PubMed

Lin, Ivan; Goodale, Belinda; Villanueva, Karen; Spitz, Suzanne

2007-10-01

Multidisciplinary therapy assistants (TAs) are an emerging but poorly understood rural and remote allied health workforce. As an aid to planning and support of TA programs in rural and remote Western Australia (WA), the number, locality and a range of practice variables of rural and remote TAs in WA were determined. Survey questionnaire. Rural and remote regions of WA. Allied health professionals, TAs, TA coordinators and managers of allied health in country regions of WA. Information was gathered on TA location, qualifications, employing organisation, allied health disciplines TAs work with, supervision practices, role and work scenarios. Ninety-eight TAs were identified in rural and remote WA with a further 23 vacant TA positions. Most TAs work across multiple allied health disciplines, half are located at a distance to their supervisors, and very few have a recognised qualification for their TA work. A substantial rural and remote TA workforce was found. A range of TA characteristics were identified that have considerable relevance to the future planning of TA initiatives in rural and remote WA.

Accuracy of a remote quantitative image analysis in the whole slide images.

PubMed

Słodkowska, Janina; Markiewicz, Tomasz; Grala, Bartłomiej; Kozłowski, Wojciech; Papierz, Wielisław; Pleskacz, Katarzyna; Murawski, Piotr

2011-03-30

The rationale for choosing a remote quantitative method supporting a diagnostic decision requires some empirical studies and knowledge on scenarios including valid telepathology standards. The tumours of the central nervous system [CNS] are graded on the base of the morphological features and the Ki-67 labelling Index [Ki-67 LI]. Various methods have been applied for Ki-67 LI estimation. Recently we have introduced the Computerized Analysis of Medical Images [CAMI] software for an automated Ki-67 LI counting in the digital images. Aims of our study was to explore the accuracy and reliability of a remote assessment of Ki-67 LI with CAMI software applied to the whole slide images [WSI]. The WSI representing CNS tumours: 18 meningiomas and 10 oligodendrogliomas were stored on the server of the Warsaw University of Technology. The digital copies of entire glass slides were created automatically by the Aperio ScanScope CS with objective 20x or 40x. Aperio's Image Scope software provided functionality for a remote viewing of WSI. The Ki-67 LI assessment was carried on within 2 out of 20 selected fields of view (objective 40x) representing the highest labelling areas in each WSI. The Ki-67 LI counting was performed by 3 various methods: 1) the manual reading in the light microscope - LM, 2) the automated counting with CAMI software on the digital images - DI , and 3) the remote quantitation on the WSIs - as WSI method. The quality of WSIs and technical efficiency of the on-line system were analysed. The comparative statistical analysis was performed for the results obtained by 3 methods of Ki-67 LI counting. The preliminary analysis showed that in 18% of WSI the results of Ki-67 LI differed from those obtained in other 2 methods of counting when the quality of the glass slides was below the standard range. The results of our investigations indicate that the remote automated Ki-67 LI analysis performed with the CAMI algorithm on the whole slide images of meningiomas and oligodendrogliomas could be successfully used as an alternative method to the manual reading as well as to the digital images quantitation with CAMI software. According to our observation a need of a remote supervision/consultation and training for the effective use of remote quantitative analysis of WSI is necessary.

[Added value of family practitioners' supervision of junior doctors in a walk-in clinic].

PubMed

Perdrix, J; Gubser, R; Gilgien, W; Bischoff, T

2011-05-18

The pending workforce crisis in family medicine has triggered various initiatives. This article describes the PMU-FLON walk-in clinic, a project of the Institute of General Medicine University of Lausanne. The working conditions in this clinic are close to that of a family practice. Doctors in training are supervised by family doctors who work part-time in the clinic. The objective is to improve training in the various fields of family medicine, from technical skills (improving optimal use of diagnostic tools), to integrating patients' requests in a more global patient-centered approach. This new educational model allows doctors in training to benefit from the specific approaches of different trainers. It will contribute to promoting quality family medicine in the future.

Opticalman 1 and C, Rate Training Manual.

ERIC Educational Resources Information Center

Naval Personnel Program Support Activity, Washington, DC.

The technical subject matter of this rate training manual is written for regular navy and naval reserve personnel. Responsibilities for optical shop administration, supervision, and training are discussed in detail. Metals are studied in connection with heat treating processes. Characteristics of light are analyzed to familiarize students with…

77 FR 5294 - Petition for Waiver of Compliance

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-02

... automatic train supervision controls. This work initially includes certain tracks within PATH's Harrison... tracks, other yard tracks, and terminals as the Automatic Train Control (ATC, which is a type of PTC... the requirements of 49 CFR 235.5 to expedite successful installation of Positive Train Control (PTC...

Implementation of exercise training programs in a hemodialysis unit: effects on physical performance.

PubMed

Bulckaen, Massimo; Capitanini, Alessandro; Lange, Sara; Caciula, Andrea; Giuntoli, Franco; Cupisti, Adamasco

2011-01-01

Exercise training is beneficial for hemodialysis patients, but it should be tailored to individual abilities and willingness to participate. This study evaluated the effects of different 6-month programs of physical activity in 18 patients of a single hemodialysis unit. Before and after a 12-month control period (T0), and following 3 (T3) and 6 (T6) months of training, the patients underwent the 6-minute walk test (6MWT) and constant treadmill test at 3 km/hour speed and 10% grade; spontaneous physical activity was assessed by pedometers. All patients trained for coordination, flexibility and muscular strengthening for 30 minutes within the first 2 hours of hemodialysis sessions: 9 patients underwent home exercise walking training (advised walking group [AWG]); the other 9 patients underwent the advised home training program plus an additional supervised gym training session, twice weekly (supervised walking group [SWG]). In both AWG and SWG, no changes occurred during the control period (232 ± 204 m and 248 ± 187 m at T0). In contrast, endurance performance at treadmill increased at T3 and T6 in the AWG (377 ± 272 m and 615 ± 413 m; p<0.01) and in the SWG (424 ± 272 m and 890 ± 364 m; p<0.001). No unwanted side effects occurred. This study shows that physical exercise programs can safely increase physical performance in hemodialysis patients. The training program should be continued for at least 6 months to increase muscle strength and endurance. Intradialytic exercise and home-based, pedometer-based regimens may be a useful and easy approach, whereas supervised programs can give additional benefits in motivated, selected patients.

Evaluation of a telehealth training package to remotely train staff to conduct a preference assessment.

PubMed

Higgins, William J; Luczynski, Kevin C; Carroll, Regina A; Fisher, Wayne W; Mudford, Oliver C

2017-04-01

Recent advancements in telecommunication technologies make it possible to conduct a variety of healthcare services remotely (e.g., behavioral-analytic intervention services), thereby bridging the gap between qualified providers and consumers in isolated locations. In this study, web-based telehealth technologies were used to remotely train direct-care staff to conduct a multiple-stimulus-without-replacement preference assessment. The training package included three components: (a) a multimedia presentation; (b) descriptive feedback from previously recorded baseline sessions; and (c) scripted role-play with immediate feedback. A nonconcurrent, multiple-baseline-across-participants design was used to demonstrate experimental control. Training resulted in robust and immediate improvements, and these effects maintained during 1- to 2-month follow-up observations. In addition, participants expressed high satisfaction with the web-based materials and the overall remote-training experience. © 2017 Society for the Experimental Analysis of Behavior.

There is a long way to go: a nationwide survey of professional training for mental health practitioners in China.

PubMed

Gao, Xiao; Jackson, Todd; Chen, Hong; Liu, Yanmei; Wang, Ruiqiang; Qian, Mingyi; Huang, Xiting

2010-04-01

This nationwide survey of professional training for mental health practitioners (i.e., psychiatrists, psychiatric nurses, clinical psychologists, and the counselors working in industry, prisons, and schools) investigated sociodemographic characteristics, training experiences, and training perceptions of mental health service providers in China. Participants included service providers recruited from hospitals, universities, high/middle schools, private mental health service organizations and counseling centers operated by government, prisons or corporations from 25 provinces and four cities directly under the Central Government in China. In order to obtain a broad and representative sample, stratified multi-stage sampling procedures were utilized. From a total of 2000 questionnaire packets distributed via regular mail, the final sample comprised of 1391 respondents (525 men, 866 women). About 70% of the sample had a bachelor's level education or lower degree, only 36.4% majored in psychology, and nearly 60% were employed part time. Fewer than half of participants were certified and nearly 40% reported no affiliation with any 'professional' association. Training and continuing education programs were reported to be primarily short term and theory-based with limited assessment and follow-up. A high proportion of respondents reported having received no supervision or opportunities for case conferences or consultations. With respect to perceptions of and satisfaction with training, many agreed that training had been very helpful to their work but quality of supervision and the capability of supervisors were common issues of concern. In light of these findings, three general recommendations were made to improve the quality of training among mental health service providers in China. First, increased input from professional organizations of various disciplines involving mental health service provision is needed to guide training and shape policy. Second, universities and colleges should have a more vital role in developing accredited professional training programs. Finally, on-the-job supervision and continuing education should be mandated within discipline-specific training programs. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

Postgraduate psychiatric training in Thailand.

PubMed

Ratta-Apha, Woraphat; Sitdhiraksa, Nantawat; Saisavoey, Nattha; Lortrakul, Manote; Udomratn, Pichet

2009-01-01

In Thailand, after medical students graduated from medical schools, the general practitioners have to work for the government for at least three years. Then, they can enroll in postgraduate training program. Postgraduate training usually takes three to four years. All of the psychiatric training programs are supervised and monitored by the board of education of the Royal College of Psychiatrists of Thailand (RCPsychT). One of the missions of all training institutes is to prepare residents to be the high qualified psychiatrists to serve the mental well-being of Thai people. Additionally, they should teach the learners to be the leaders in academic and research fields in psychiatry. Currently, there are nine psychiatric training institutions in Thailand, most of which are running by university programs. The training program core curriculum composes of the compulsory rotations such as general psychiatry, child and adolescent psychiatry, neurology, consultation-liaison psychiatry, mental hospital psychiatry and addiction psychiatry. Moreover, the residents also have three months for elective in each program. The learning process includes practicing in an out-patient and in-patient unit under psychiatric staff supervision, individual and group supervision, case conference, journal club, book club and grand round etc. Research in field of psychiatry and social sciences is also compulsory for board examination. The RCPsychT approved two Certificate Diplomas including Diploma of Thai Board of Psychiatry, and Diploma of Thai Board of Child and Adolescent Psychiatry. There are only nine psychiatric training institutes and only thirty to forty residents enrolled in these programs in each year. The compact and collaboration of all training institutes bring about the benefits in efficiency programs management by regular meeting of representatives from each institute. They keep the standard of training program to progress in the same vision and direction. Furthermore, residents of each training programs can exchange and request for elective rotation at the other institutes.

Significant Tasks in Training of Job-Shop Supervisors

ERIC Educational Resources Information Center

Pederson, Leonard S.; Dresdow, Sally; Benson, Joy

2013-01-01

Purpose: The need for effective training of first-line supervisors is well established. Well-trained supervision is essential to our future as a country. A fundamental step in developing effective training is to develop a jobs needs assessment. In order to develop an effective needs assessment, it is necessary to know what the tasks are of…

49 CFR 214.353 - Training and qualification of roadway workers who provide on-track safety for roadway work groups.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 49 Transportation 4 2011-10-01 2011-10-01 false Training and qualification of roadway workers who... RAILROAD WORKPLACE SAFETY Roadway Worker Protection § 214.353 Training and qualification of roadway workers...) All the on-track safety training and qualification required of the roadway workers to be supervised...

The Interacting-Reflecting Training Exercise: Addressing the Therapist's Inner Conversation in Family Therapy Training

ERIC Educational Resources Information Center

Rober, Peter

2010-01-01

In recent years several authors have made a beginning in describing therapeutic conversations from a dialogical perspective. Training and supervision, however, have not yet been addressed from a dialogical perspective. In this article, an experiential training exercise is described that is focused on the basic dialogical skills of the trainee:…

Self-reflection in cognitive behavioural therapy and supervision.

PubMed

Prasko, Jan; Mozny, Petr; Novotny, Miroslav; Slepecky, Milos; Vyskocilova, Jana

2012-12-01

Supervision is a basic part of training and ongoing education in cognitive behavioural therapy. Self-reflection is an important part of supervision. The conscious understanding of one's own emotions, feelings, thoughts, and attitudes at the time of their occurrence, and the ability to continuously follow and recognize them are among the most important abilities of both therapists and supervisors. The objective of this article is to review aspects related to supervision in cognitive behavioural therapy and self-reflection in the literature. This is a narrative review. A literature review was performed using the PubMed, SciVerse Scopus, and Web of Science databases; additional references were found through bibliography reviews of relevant articles published prior to July 2011. The databases were searched for articles containing the following keywords: cognitive behavioural therapy, self-reflection, therapeutic relationship, training, supervision, transference, and countertransference. The review also includes information from monographs referred to by other reviews. We discuss conceptual aspects related to supervision and the role of self-reflection. Self-reflection in therapy is a continuous process which is essential for the establishment of a therapeutic relationship, the professional growth of the therapist, and the ongoing development of therapeutic skills. Recognizing one's own emotions is a basic skill from which other skills necessary for both therapy and emotional self-control stem. Therapists who are skilled in understanding their inner emotions during their encounters with clients are better at making decisions, distinguishing their needs from their clients' needs, understanding transference and countertransference, and considering an optimal response at any time during a session. They know how to handle their feelings so that these correspond with the situation and their response is in the client's best interest. The ability to self-reflect increases the ability to perceive other people's inner emotions, kindles altruism, and increases attunement to subtle signals indicating what others need or want. Self-reflection may be practised by the therapists themselves using traditional cognitive behavioural therapy techniques, or it may be learned in the course of supervision. If therapists are unable to recognize their own thoughts and feelings, or the effects of their attitudes in a therapeutic situation, then they are helpless against these thoughts and feelings, which may control the therapist's behaviour to the disadvantage of the client and therapist alike. Training and supervision focused on self-reflection are beneficial to both supervisees and their clients. The more experienced the supervisor is, the more self-reflection used in therapy and supervision.

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.

Training Career Ladder AFSC 751X2. Volume III.

DTIC Science & Technology

1981-01-01

courses, and supervising training personnel in conducting courses in technical and academic subjects. Because the Training specialty is a lateral...702X0 jobs). There were also several incirnbents that indicated that they ielt that the 751X2 authorizations to which th.𔄁 were assigned were not

Project Job: Vocational Training Program for Mentally Retarded Adults.

ERIC Educational Resources Information Center

Career Development for Exceptional Individuals, 1983

1983-01-01

A vocational training program for trainable mentally retarded youth and adults provided instruction on functional skills, travel training, and independent living skills in addition to supervised performance in part time jobs in the community. The program expanded into small business subsidiaries for boat cleaning and detailing and marine serving.…

Learning by Helping? Undergraduate Communication Outcomes Associated with Training or Service-Learning Experiences

ERIC Educational Resources Information Center

Katz, Jennifer; DuBois, Melinda; Wigderson, Sara

2014-01-01

This study investigated communication outcomes after training or applied service-learning experiences. Pre-practicum trainees learned active listening skills over 10 weeks. Practicum students were successful trainees who staffed a helpline. Community interns were trained and supervised at community agencies. Undergraduate students in psychology…

The Training of Infant Mental Health Practitioners: The Norway Experience

ERIC Educational Resources Information Center

Slinning, Kari; Vannebo, Unni Tranaas

2015-01-01

Today the infant mental health field includes a multidisciplinary team of practitioners with very different training and education needs. Implementation research has shown that appropriate training is a key factor for successful outcomes of an intervention and that supervision and coaching are crucial. All professionals who work with young…

Counselor-in-Training Perceptions of Supervision Practices Related to Self-Care and Burnout

ERIC Educational Resources Information Center

Thompson, E. Heather; Frick, Melodie H.; Trice-Black, Shannon

2011-01-01

Counselors-in-training face the challenges of balancing academic, professional, and personal obligations. Many counselors-in-training, however, report a lack of instruction regarding personal wellness and prevention of personal counselor burnout. The present study used CQR methodology with 14 counseling graduate students to investigate…

Technical Training for Managers.

ERIC Educational Resources Information Center

Haverland, Edgar M.

The question has arisen as to what kind of information a manager without extensive technical training needs to learn to supervise effectively. For example, the Nike Hercules fire control platoon leader, usually an officer in his first active duty assignment, seldom has had extensive technical training. Yet he is responsibile for the…

Training the Millennial learner through experiential evolutionary scaffolding: implications for clinical supervision in graduate education programs.

PubMed

Venne, Vickie L; Coleman, Darrell

2010-12-01

They are the Millennials--Generation Y. Over the next few decades, they will be entering genetic counseling graduate training programs and the workforce. As a group, they are unlike previous youth generations in many ways, including the way they learn. Therefore, genetic counselors who teach and supervise need to understand the Millennials and explore new ways of teaching to ensure that the next cohort of genetic counselors has both skills and knowledge to represent our profession well. This paper will summarize the distinguishing traits of the Millennial generation as well as authentic learning and evolutionary scaffolding theories of learning that can enhance teaching and supervision. We will then use specific aspects of case preparation during clinical rotations to demonstrate how incorporating authentic learning theory into evolutionary scaffolding results in experiential evolutionary scaffolding, a method that potentially offers a more effective approach when teaching Millennials. We conclude with suggestions for future research.

A COMMUNITY MENTAL HEALTH PROFESSIONAL DEVELOPMENT MODEL FOR THE EXPANSION OF REFLECTIVE PRACTICE AND SUPERVISION: EVALUATION OF A PILOT TRAINING SERIES FOR INFANT MENTAL HEALTH PROFESSIONALS.

PubMed

Shea, Sarah E; Goldberg, Sheryl; Weatherston, Deborah J

2016-11-01

The Michigan Association for Infant Mental Health identified a need for reflective supervision training for infant mental health (IMH) specialists providing home-based services to highly vulnerable infants and their families. Findings indicate that this pilot of an IMH community mental health professional development model was successful, as measured by the participants' increased capacity to apply reflective practice and supervisory knowledge and skills. Furthermore, IMH clinicians demonstrated an increase in the frequency of their use of reflective practice skills, and their supervisors demonstrated an increase in their sense of self-efficacy regarding reflective supervisory tasks. Finally, the evaluation included a successful pilot of new measures designed to measure reflective practice, contributing to the growing body of research in the area of reflective supervision. © 2016 Michigan Association for Infant Mental Health.

A spectral water index based on visual bands

NASA Astrophysics Data System (ADS)

Basaeed, Essa; Bhaskar, Harish; Al-Mualla, Mohammed

2013-10-01

Land-water segmentation is an important preprocessing step in a number of remote sensing applications such as target detection, environmental monitoring, and map updating. A Normalized Optical Water Index (NOWI) is proposed to accurately discriminate between land and water regions in multi-spectral satellite imagery data from DubaiSat-1. NOWI exploits the spectral characteristics of water content (using visible bands) and uses a non-linear normalization procedure that renders strong emphasize on small changes in lower brightness values whilst guaranteeing that the segmentation process remains image-independent. The NOWI representation is validated through systematic experiments, evaluated using robust metrics, and compared against various supervised classification algorithms. Analysis has indicated that NOWI has the advantages that it: a) is a pixel-based method that requires no global knowledge of the scene under investigation, b) can be easily implemented in parallel processing, c) is image-independent and requires no training, d) works in different environmental conditions, e) provides high accuracy and efficiency, and f) works directly on the input image without any form of pre-processing.

Detecting Gunshots Using Wearable Accelerometers

PubMed Central

Loeffler, Charles E.

2014-01-01

Gun violence continues to be a staggering and seemingly intractable issue in many communities. The prevalence of gun violence among the sub-population of individuals under court-ordered community supervision provides an opportunity for intervention using remote monitoring technology. Existing monitoring systems rely heavily on location-based monitoring methods, which have incomplete geographic coverage and do not provide information on illegal firearm use. This paper presents the first results demonstrating the feasibility of using wearable inertial sensors to recognize wrist movements and other signals corresponding to firearm usage. Data were collected from accelerometers worn on the wrists of subjects shooting a number of different firearms, conducting routine daily activities, and participating in activities and tasks that could be potentially confused with firearm discharges. A training sample was used to construct a combined detector and classifier for individual gunshots, which achieved a classification accuracy of 99.4 percent when tested against a hold-out sample of observations. These results suggest the feasibility of using inexpensive wearable sensors to detect firearm discharges. PMID:25184416

Detecting gunshots using wearable accelerometers.

PubMed

Loeffler, Charles E

2014-01-01

Gun violence continues to be a staggering and seemingly intractable issue in many communities. The prevalence of gun violence among the sub-population of individuals under court-ordered community supervision provides an opportunity for intervention using remote monitoring technology. Existing monitoring systems rely heavily on location-based monitoring methods, which have incomplete geographic coverage and do not provide information on illegal firearm use. This paper presents the first results demonstrating the feasibility of using wearable inertial sensors to recognize wrist movements and other signals corresponding to firearm usage. Data were collected from accelerometers worn on the wrists of subjects shooting a number of different firearms, conducting routine daily activities, and participating in activities and tasks that could be potentially confused with firearm discharges. A training sample was used to construct a combined detector and classifier for individual gunshots, which achieved a classification accuracy of 99.4 percent when tested against a hold-out sample of observations. These results suggest the feasibility of using inexpensive wearable sensors to detect firearm discharges.

Trainees' use of supervision for therapy with sexual minority clients: A qualitative study.

PubMed

Chui, Harold; McGann, Kevin J; Ziemer, Kathryn S; Hoffman, Mary Ann; Stahl, Jessica

2018-01-01

In the supervision literature, research on sexual orientation considerations often focuses on sexual minority supervisees and less often on their work with sexual minority clients. Yet both heterosexual and sexual minority supervisees serve sexual minority clients and may have different supervision needs. Twelve predoctoral interns from 12 APA-accredited counseling center internships were interviewed about how they made use of supervision for their work with a sexual minority client. The sample consisted of 6 heterosexual-identified supervisees and 6 supervisees who identified as lesbian, gay, or queer (LGQ). Data were analyzed using consensual qualitative research. All participants reported positive gains from supervision that carried over to their work with heterosexual and sexual minority clients, even when not all supervisors disclosed or discussed their own sexual orientation. Heterosexual supervisees used supervision to ensure that their heterosexuality does not interfere with an affirmative experience for their sexual minority client, whereas LGQ supervisees used supervision to explore differences in sexual identity development between themselves and their client to minimize the negative impact of overidentification. Thus, affirmative supervision may unfold with different foci depending on supervisees' sexual identity. Implications for training and supervision are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

The Texas Remote Sensing Training Project

NASA Technical Reports Server (NTRS)

Wells, J. B.

1975-01-01

The project was designed to train federal, state and regional agency managers, scientists and engineers. A one-week seminar was designed and implemented to build vocabulary, introduce technical subject areas and give students enough training to allow them to relate remote sensing technology to operational agency projects. The seminar was designed to perform the dual function of conveying enough remote sensing information to be of value as a stand-alone and preparing students for detailed pattern recognition training. The LARSYS III portion of the training project was executed exactly as designed in the LARSYS training materials package; the LARSYS package did not contain a LANDSAT training module. Two LANDSAT training modules were developed using Texas LANDSAT data. One module contained central Texas data and the second module contained coastal zone data.

An unsupervised classification technique for multispectral remote sensing data.

NASA Technical Reports Server (NTRS)

Su, M. Y.; Cummings, R. E.

1973-01-01

Description of a two-part clustering technique consisting of (a) a sequential statistical clustering, which is essentially a sequential variance analysis, and (b) a generalized K-means clustering. In this composite clustering technique, the output of (a) is a set of initial clusters which are input to (b) for further improvement by an iterative scheme. This unsupervised composite technique was employed for automatic classification of two sets of remote multispectral earth resource observations. The classification accuracy by the unsupervised technique is found to be comparable to that by traditional supervised maximum-likelihood classification techniques.

Summary and Evaluation of EPDA-B2 Project 70.02. Psychological Personnel Training Program at the Tennessee Appalachia Educational Cooperative July 1, 1970-August 31, 1971.

ERIC Educational Resources Information Center

Holt, William W.

The purpose of this psychological training program was twofold--training and service on the assumption that closely and expertly supervised service with accessible and available qualified consultants is the most realistic and thorough research training method known. Interns were recruited, trained, and supported financially and professionally to…

Managing Construction Operations Visually: 3-D Techniques for Complex Topography and Restricted Visibility

ERIC Educational Resources Information Center

Rodriguez, Walter; Opdenbosh, Augusto; Santamaria, Juan Carlos

2006-01-01

Visual information is vital in planning and managing construction operations, particularly, where there is complex terrain topography and salvage operations with limited accessibility and visibility. From visually-assessing site operations and preventing equipment collisions to simulating material handling activities to supervising remotes sites…

Retention of Physician Assistants in Rural Health Clinics

ERIC Educational Resources Information Center

Henry, Lisa R.; Hooker, Roderick S.

2007-01-01

Context: Improvement of rural health care access has been a guiding principle of federal and state policy regarding physician assistants (PAs). Purpose: To determine the factors that influence autonomous rural PAs (who work less than 8 hours per week with their supervising physician) to remain in remote locations. Methods: A qualitative…

Mortality in Children Under Five Receiving Nonphysician Clinician Emergency Care in Uganda.

PubMed

Rice, Brian; Periyanayagam, Usha; Chamberlain, Stacey; Dreifuss, Bradley; Hammerstedt, Heather; Nelson, Sara; Maling, Samuel; Bisanzo, Mark

2016-03-01

A nonphysician clinician (NPC) training program was started in Uganda in 2009. NPC care was initially supervised by a physician and subsequent care was independent. The mortality of children under 5 (U5) was analyzed to evaluate the impact of transitioning NPC care from physician-supervised to independent care. A retrospective review was performed of a quality assurance database including 3-day follow-up for all patients presenting to the emergency department (ED). Mortality rates were calculated and χ(2) tests used for significance of proportions. Multiple logistic regression was used to assess independent predictors of mortality. Overall, 68.8% of 4985 U5 patients were admitted and 28.6% were "severely ill." The overall mortality was significantly lower in physician-supervised versus independent NPC care (2.90% vs 5.04%, P = .05). No significant mortality difference was seen between supervised and unsupervised care (2.17% vs 3.01%, P = .43) for the majority of patients that were not severely ill. Severely ill patients analyzed separately showed a significant mortality difference (4.07% vs 10.3%, P = .01). Logistic regression revealed physician supervision significantly reduced mortality for patients overall (odds ratio = 0.52, P = .03), but not for nonseverely ill patients analyzed separately (odds ratio = 0.73, P = .47). Though physician supervision reduced mortality for the severely ill subset of patients, physicians are not available full-time in most EDs in Sub-Saharan Africa. Training NPCs in emergency care produced noninferior mortality outcomes for unsupervised NPC care compared with physician-supervised NPC care for the majority of U5 patients. Copyright © 2016 by the American Academy of Pediatrics.

Training with O (Observing) and T (Treatment) Teams in Live Supervision: Reflections in the Looking Glass.

ERIC Educational Resources Information Center

Roberts, Janine; And Others

1989-01-01

Describes process that six counselor trainees and two supervisors used with treatment and observation teams to examine their own coevolution as a therapeutic system using the Milan model of family therapy and Ericksonian hypnotherapy. Concludes with a discussion of advantages and pitfalls of this type of dual supervision. (Author/ABL)

An Experiential Approach to Clinical Supervision Training: A Mixed Methods Evaluation of Effectiveness

ERIC Educational Resources Information Center

Fisher, Amy Killen; Simmons, Christopher; Allen, Susan C.

2016-01-01

This study evaluates an intensive experiential exercise designed to facilitate the provision of high-quality supervision in social work. Data from 46 BSW and MSW students suggest that the exercise can be an effective learning tool. Both quantitative and qualitative findings indicated that the students formed a supervisory working alliance; BSW…

Primary Supervision: Massachusetts General Hospital's child and adolescent psychiatry seminar

ERIC Educational Resources Information Center

Jellinek, Michael S.

2007-01-01

In this article, the author describes "Primary Supervision", a seminar he has led for approximately 20 years, which is designed for the entire class of nine first-year residents in Child and Adolescent Psychiatry training at Massachusetts General Hospital. The seminar meets for 1 hour each week throughout the first year. Through 900…

77 FR 21603 - Self-Regulatory Organizations; NASDAQ OMX BX, Inc.; Notice of Filing of Proposed Rule Change...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-10

... monitoring of proprietary trading, market-making or brokerage activities and/or that is engaged in the supervision or training of those engaged in proprietary trading, market-making or brokerage activities will be... behalf of a broker-dealer account, supervises or monitors proprietary trading, market-making or brokerage...

The Complexities of Service Supervision: An Experiential Discovery

ERIC Educational Resources Information Center

Rustin, Margaret

2010-01-01

Service supervision has become a central feature of the training of child psychotherapists in the UK. This paper reports on the work of a research workshop set up to explore the task and its complexities. The paper draws on several years of monthly meetings of a highly experienced group of supervisors. It discusses the methodology for studying…

A Time for Reflection: Should We Reconsider the Direct Supervision Standard in Clinical Education?

ERIC Educational Resources Information Center

Mazerolle, Stephanie M.; Bowman, Thomas G.

2017-01-01

Context: Educational reform is occurring again in athletic training. The profession, at this time, should reflect on the structure of clinical education, particularly with direct supervision. Clinical education plays a critical role in the development of future practitioners and should provide students with a chance to gain autonomous experience,…

Reflective Process in Play Therapy: A Practical Model for Supervising Counseling Students

ERIC Educational Resources Information Center

Allen, Virginia B.; Folger, Wendy A.; Pehrsson, Dale-Elizabeth

2007-01-01

Counselor educators and other supervisors, who work with graduate student counseling interns utilizing Play Therapy, should be educated, grounded, and trained in theory, supervision, and techniques specific to Play Therapy. Unfortunately, this is often not the case. Therefore, a three step model was created to assist those who do not have specific…

Doctoral Students' Experience with Using the Reflecting Team Model of Supervision Online

ERIC Educational Resources Information Center

Sindlinger, Jodi

2011-01-01

Evidence of the increasing use of technology in counselor education is indicated by the increase in journal articles, programs, websites, and books on this topic (Albrecht & Jones, 2001; Layne & Hohenshil, 2005). The Internet has emerged as an important tool in the training and supervision of counseling students (Conn, Roberts, & Powell, 2009;…

Emergency Department Patients Support the Use of Combat Medics in Their Clinical Care

DTIC Science & Technology

2015-07-01

indirect supervision is the growing complexity of modern medi- cine . If this level of supervised and controlled training is required of aviation and...readiness of brigade combat teams fighting the Global War on Terror . J Surg Res. 2007;138:25–31. 4. Mabry RL, Apodaca A, Penrod J, et al. Impact of

Capacity Building in Using NASA Remote Sensing for Water Resources and Disasters Management

NASA Astrophysics Data System (ADS)

Mehta, A. V.; Podest, E.; Prados, A. I.

2017-12-01

The NASA Applied Remote Sensing Training Program (ARSET), a part of NASA's Applied Sciences Capacity Building program, empowers the global community through online and in-person training. The program focuses on helping policy makers, environmental managers, and other professionals, both domestic and international, use remote sensing in decision making. Since 2011, ARSET has provided more than 20 trainings in water resource and disaster management, including floods and droughts. This presentation will include an overview of the ARSET program, best practices for approaching trainings, feedback from participants, and examples of case studies from the trainings showing the application of GPM, SMAP, Landsat, Terra and Aqua (MODIS), and Sentinel (SAR) data. This presentation will also outline how ARSET can serve as a liaison between remote sensing applications developers and users in the areas of water resource and disaster management.

Psychotherapy: a profile of current occupational therapy practice in Ontario.

PubMed

Moll, Sandra E; Tryssenaar, Joyce; Good, Colleen R; Detwiler, Lisa M

2013-12-01

Psychotherapy can be an important part of psychosocial occupational therapy practice; however, it requires specialized training to achieve and maintain competence. Regulation varies by province, and in Ontario, occupational therapists were recently authorized to perform psychotherapy. The purpose of this study was to explore the psychotherapy practice, training, and support needs of Ontario occupational therapists. An online survey was sent to occupational therapists who had clients with mental health or chronic pain issues, asking about their expertise and support needs in relation to nine psychotherapy approaches. Of the 331 therapists who responded, there were variations in the nature and frequency of psychotherapy practice. Experienced therapists in outpatient settings were more likely to practice psychotherapy, and cognitive-behaviour therapy, motivational interviewing, and mindfulness were the most common approaches. Supervision and training varied, with many therapists interested in occupational therapy-specific training. Recommendations for a framework of support include education about the nature of psychotherapy, training and supervision guidelines, and advocacy for occupational therapy and psychotherapy.

Effects on centre-based training and home-based training on physical function, quality of life and fall incidence in community dwelling older adults.

PubMed

Kwok, Thomas M K; Tong, C Y

2014-05-01

This was a quasi-experimental study to compare the effects of center-based training with home-based training on physical function, quality of life and fall incidence in older adults. Fifty older adults were recruited to receive exercise training for 6 months. Participants in the center-based group received training under supervision of a physiotherapist at the day training center. Those in the home-based group received training assisted by a care worker at home. The outcome measures were the Elderly Mobility Scale (EMS), Berg Balance Scale (BBS), Numeric Pain Rating Scale (NPRS), Short-form 12 (SF-12) and fall incidence. Assessments were performed on all participants before and after the 6-month intervention period. Center-based training supervised by a physiotherapist was found to have beneficial effects on physical function, quality of life and fall incidence while home-based training assisted by a care worker had no effect on physical condition and self-rated health status in community dwelling older adults. Service agents should provide center-based or home-based training to the ageing population in a user-friendly way with consideration of factors such as rehabilitation potential and accessibility of transportation.

Translating Anxiety-Focused CBT for Youth in a First Nations Context in Northwestern Ontario

PubMed Central

Nowrouzi, Behdin; Manassis, Katharina; Jones, Emily; Bobinski, Tina; Mushquash, Christopher J.

2015-01-01

Objective: We sought to evaluate a translation of anxiety-focused cognitive behavioral therapy (CBT) to a First Nations children’s mental health provider in rural Ontario and to enhance our understanding of CBT challenges and adaptations unique to the First Nations context. Methods: The study was conceptualized as a mixed methods sequential explanatory approach using a quasi-experimental (before and after) design with quantitative and qualitative components. Data were produced in two ways: questionnaires completed by therapists, parents and clients pre- and post-training, and through a focus group with therapists working with First Nations clients. Participants of this study were a subset of a larger knowledge translation study involving ten agencies, and comprised nine therapists (two males and seven females), and seven children (six males and one female) from a single First Nations agency. The mean age of children was 11.8 years (±2.71), comparable to children in other agencies. Results: First Nations therapists’ scores on a child CBT knowledge questionnaire post-training did not differ from those of therapists in other agencies when controlling for initial values, suggesting comparable training benefit. Children did not differ between groups on any key measures, and all key measures showed improvement from pre- to post-training. Four key themes emerged from therapist focus groups: client challenges, value of supervision, practice challenges, and Northern/rural/remote challenges. Conclusions: The study highlights the importance of delivering a culturally appropriate CBT program to First Nations populations in Northern Ontario, and provides preliminary evidence of its effectiveness. PMID:26336378

Data integration modeling applied to drill hole planning through semi-supervised learning: A case study from the Dalli Cu-Au porphyry deposit in the central Iran

NASA Astrophysics Data System (ADS)

Fatehi, Moslem; Asadi, Hooshang H.

2017-04-01

In this study, the application of a transductive support vector machine (TSVM), an innovative semi-supervised learning algorithm, has been proposed for mapping the potential drill targets at a detailed exploration stage. The semi-supervised learning method is a hybrid of supervised and unsupervised learning approach that simultaneously uses both training and non-training data to design a classifier. By using the TSVM algorithm, exploration layers at the Dalli porphyry Cu-Au deposit in the central Iran were integrated to locate the boundary of the Cu-Au mineralization for further drilling. By applying this algorithm on the non-training (unlabeled) and limited training (labeled) Dalli exploration data, the study area was classified in two domains of Cu-Au ore and waste. Then, the results were validated by the earlier block models created, using the available borehole and trench data. In addition to TSVM, the support vector machine (SVM) algorithm was also implemented on the study area for comparison. Thirty percent of the labeled exploration data was used to evaluate the performance of these two algorithms. The results revealed 87 percent correct recognition accuracy for the TSVM algorithm and 82 percent for the SVM algorithm. The deepest inclined borehole, recently drilled in the western part of the Dalli deposit, indicated that the boundary of Cu-Au mineralization, as identified by the TSVM algorithm, was only 15 m off from the actual boundary intersected by this borehole. According to the results of the TSVM algorithm, six new boreholes were suggested for further drilling at the Dalli deposit. This study showed that the TSVM algorithm could be a useful tool for enhancing the mineralization zones and consequently, ensuring a more accurate drill hole planning.

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.

Musculoskeletal injuries in break-dancers.

PubMed

Cho, Chul Hyun; Song, Kwang Soon; Min, Byung Woo; Lee, Sung Moon; Chang, Hyuk Won; Eum, Dae Seup

2009-11-01

Since no epidemiologic studies have been reported about musculoskeletal injuries in break-dancers, there are no data on the rates and patterns of musculoskeletal injuries in this population that clinicians can use to find ways to decrease injury rate. We believe that the incidence of injuries in break-dancers is higher than assumed and that injury rates and patterns differ between professional and amateur dancers. Descriptive epidemiologic study. Of a total of 42 study subjects, 23 were professional dancers and 19 were amateur dancers. Injury frequency, site and type, along with the presence of supervised training, the use of protective devices and warm-up exercises done were recorded. Of the 42 study subjects, excluding two amateur dancers, 40 (95.2%) had had musculoskeletal injuries at more than one site. The mean number of sites per dancer was 4.60. The frequency of injury depended on the site and was as follows: wrist (69.0%), finger (61.9%), knee (61.9%), shoulder (52.4%), lumbar spine (50.0%), elbow (42.9%), cervical spine (38.1%), ankle (38.1%), foot (28.6%) and hip (16.7%). Sprain, strain and tendinitis were the most common injuries, accounting for the most cases. Of the 42 dancers, 13 (31%) had had fractures or dislocations. Eight (19.1%) learned break-dancing under supervised instruction, 17 (40.5%) used protective devices and 28 (66.7%) performed warm-up exercises before dancing. There were significant differences in age, dance career length, amount of dance training, mean number of injury sites and the presence of supervised training between professionals and amateurs (P<0.05). Clinicians must inquire thoroughly into the nature of the activities that result in both unusual and common injuries in break-dancers and educate them about safety. Careful screening, instruction and supervised training of break-dancers will help to prevent injuries.

The LARSYS educational package: Instructor's notes. [instructional materials for training people to analyze remotely sensed data

NASA Technical Reports Server (NTRS)

Lindenlaub, J. C.; Davis, S. M.

1974-01-01

Materials are presented for assisting instructors in teaching the LARSYS Educational Package, which is a set of instructional materials to train people to analyze remotely sensed multispectral data. The seven units of the package are described. These units are: quantitative remote sensing, overview of the LARSYS software system, the 2780 remote terminal, demonstration of LARSYS on the 2780 remote terminal, exercises, guide to multispectral data analysis, and a case study using LARSYS for analysis of LANDSAT data.

A survey of perceived training differences between ophthalmology residents in Hong Kong and China.

PubMed

Young, Alvin L; Jhanji, Vishal; Liang, Yuanbo; Congdon, Nathan; Chow, Simon; Wang, Fenghua; Zhang, Xiujuan; Man, Xiaofei; Yang, Mingming; Lin, Zhong; Yuen, Hunter G L; Lam, Dennis S C

2015-09-28

To study the differences in ophthalmology resident training between China and the Hong Kong Special Administrative Region (HKSAR). Training programs were selected from among the largest and best-known teaching hospitals. Ophthalmology residents were sent an anonymous 48-item questionnaire by mail. Work satisfaction, time allocation between training activities and volume of surgery performed were determined. 50/75 residents (66.7 %) from China and 20/26 (76.9 %) from HKSAR completed the survey. Age (28.9 ± 2.5 vs. 30.2 ± 2.9 years, p = 0.15) and number of years in training (3.4 ± 1.6 vs. 2.8 ± 1.5, p = 0.19) were comparable between groups. The number of cataract procedures performed by HKSAR trainees (extra-capsular, median 80.0, quartile range: 30.0, 100.0; phacoemulsification, median: 20.0, quartile range: 0.0, 100.0) exceeded that for Chinese residents (extra-capsular: median = 0, p < 0.0001; phacoemulsification: median = 0, p < 0.0001). Chinese trainees spent more time completing medical charts (>50 % of time on charts: 62.5 % versus 5.3 %, p < 0.0001) and received less supervision (≥90 % of training supervised: 4.4 % versus 65 %, p < 0.0001). Chinese residents were more likely to feel underpaid (96.0 % vs. 31.6 %, p < 0.0001) and hoped their children would not practice medicine (69.4 % vs. 5.0 %, p = 0.0001) compared HKSAR residents. In this study, ophthalmology residents in China report strikingly less surgical experience and supervision, and lower satisfaction than HKSAR residents. The HKSAR model of hands-on resident training might be useful in improving the low cataract surgical rate in China.

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

ERIC Educational Resources Information Center

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

2012-01-01

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

Educating psychotherapy supervisors.

PubMed

Watkins, C Edward

2012-01-01

What do we know clinically and empirically about the education of psychotherapy supervisors? In this paper, I attempt to address that question by: (1) reviewing briefly current thinking about psychotherapy supervisor training; and (2) examining the available research where supervisor training and supervision have been studied. The importance of such matters as training format and methods, supervision topics for study, supervisor development, and supervisor competencies are considered, and some prototypical, competency-based supervisor training programs that hold educational promise are identified and described. Twenty supervisor training studies are critiqued, and their implications for practice and research are examined. Based on this review of training programs and research, the following conclusions are drawn: (1) the clinical validity of supervisor education appears to be strong, solid, and sound, (2) although research suggests that supervisor training can have value in stimulating the development of supervisor trainees and better preparing them for the supervisory role, any such base of empirical support or validity should be regarded as tentative at best; and (3) the most formidable challenge for psychotherapy supervisor education may well be correcting the imbalance that currently exists between clinical and empirical validity and "raising the bar" on the rigor, relevance, and replicability of future supervisor training research.

Competency in integrative psychotherapy: perspectives on training and supervision.

PubMed

Boswell, James F; Nelson, Dana L; Nordberg, Samuel S; McAleavey, Andrew A; Castonguay, Louis G

2010-03-01

Increasingly, many psychotherapists identify with an integrative approach to psychotherapy. In recent years, more attention has been directed toward the operationalization and evaluation of competence in professional psychology and health care service delivery. Aspects of integrative psychotherapy competency may differ from competency in other psychotherapy orientations, although convergence is more often the case. Despite the potential differences, there exist very few formal training programs or guidelines to systematically guide clinicians in developing a competent integrative practice. This paper attempts to distill the essential elements of competent integrative psychotherapy practice and focuses on how these might be developed in training and supervision. We address most of these complex issues from a specific integrative perspective: principle-based assimilative integration. PsycINFO Database Record (c) 2010 APA, all rights reserved

Training and education in religion/spirituality within APA-accredited clinical psychology programs: 8 years later.

PubMed

Schafer, Rachel M; Handal, Paul J; Brawer, Peter A; Ubinger, Megan

2011-06-01

This study was a follow up investigation of Brawer et al.'s (Prof Psychol Res Pr 33(2):203-206, 2002) survey of education and training of clinical psychologists in religion/spirituality. Directors of clinical training were surveyed to determine whether changes had occurred in the coverage of religion and spirituality through course work, research, supervision, and in the systematic coverage of the content area. Results indicated an increased coverage in the areas of supervision, dedicated courses, inclusion as part of another course, and research. There was no increase in systematic coverage, but significantly more programs provided at least some coverage. The current study also assesses other areas of incorporation as well as directors' opinions regarding the importance of religion/spirituality in the field of psychology.

Evaluation of a Remote Training Approach for Teaching Seniors to Use a Telehealth System

PubMed Central

Lai, Albert M.; Kaufman, David R.; Starren, Justin; Shea, Steven

2009-01-01

Objective There has been a growth of home health care technology in rural areas. However, a significant limitation has been the need for costly and repetitive training in order for patients to efficiently use their home telemedicine unit (HTU). This research describes the evaluation of an architecture for remote training of patients in a telemedicine environment. This work examines the viability of a remote training architecture called REmote Patient Education in a Telemedicine Environment (REPETE). REPETE was implemented and evaluated in the context of the IDEATel project, a large-scale telemedicine project, focusing on Medicare beneficiaries with diabetes in New York State. Methods A number of qualitative and quantitative evaluation tools were developed and used to study the effectiveness of the remote training sessions evaluating: a) task complexity, b) changes in patient performance and c) the communication between trainer and patient. Specifically, the effectiveness of the training was evaluated using a measure of web skills competency, a user satisfaction survey, a cognitive task analysis and an interaction analysis. Results Patients not only reported that the training was beneficial, but also showed significant improvements in their ability to effectively perform tasks. Our qualitative evaluations scrutinizing the interaction between the trainer and patient showed that while there was a learning curve for both the patient and trainer when negotiating the shared workspace, the mutually visible pointer used in REPETE enhanced the computer-mediated instruction. Conclusions REPETE is an effective remote training tool for older adults in the telemedicine environment. Patients demonstrated significant improvements in their ability to perform tasks on their home telemedicine unit. PMID:19620023

Evaluation of a remote training approach for teaching seniors to use a telehealth system.

PubMed

Lai, Albert M; Kaufman, David R; Starren, Justin; Shea, Steven

2009-11-01

There has been a growth of home healthcare technology in rural areas. However, a significant limitation has been the need for costly and repetitive training in order for patients to efficiently use their home telemedicine unit (HTU). This research describes the evaluation of an architecture for remote training of patients in a telemedicine environment. This work examines the viability of a remote training architecture called REmote Patient Education in a Telemedicine Environment (REPETE). REPETE was implemented and evaluated in the context of the IDEATel project, a large-scale telemedicine project, focusing on Medicare beneficiaries with diabetes in New York State. A number of qualitative and quantitative evaluation tools were developed and used to study the effectiveness of the remote training sessions evaluating: (a) task complexity, (b) changes in patient performance and (c) the communication between trainer and patient. Specifically, the effectiveness of the training was evaluated using a measure of web skills competency, a user satisfaction survey, a cognitive task analysis and an interaction analysis. Patients not only reported that the training was beneficial, but also showed significant improvements in their ability to effectively perform tasks. Our qualitative evaluations scrutinizing the interaction between the trainer and patient showed that while there was a learning curve for both the patient and trainer when negotiating the shared workspace, the mutually visible pointer used in REPETE enhanced the computer-mediated instruction. REPETE is an effective remote training tool for older adults in the telemedicine environment. Patients demonstrated significant improvements in their ability to perform tasks on their home telemedicine unit.

Clinical Experiences in Athletic Training.

ERIC Educational Resources Information Center

Knight, Kenneth L.

This book offers a systematic approach to teaching athletic training. Modules are separated into 10 content areas: direct clinical experience; policies and procedures; emergency procedures; modality operation; advanced modality operation; taping, wrapping, bracing, and padding; management of specific injuries; examination; supervision; and…

Maximum Margin Clustering of Hyperspectral Data

NASA Astrophysics Data System (ADS)

Niazmardi, S.; Safari, A.; Homayouni, S.

2013-09-01

In recent decades, large margin methods such as Support Vector Machines (SVMs) are supposed to be the state-of-the-art of supervised learning methods for classification of hyperspectral data. However, the results of these algorithms mainly depend on the quality and quantity of available training data. To tackle down the problems associated with the training data, the researcher put effort into extending the capability of large margin algorithms for unsupervised learning. One of the recent proposed algorithms is Maximum Margin Clustering (MMC). The MMC is an unsupervised SVMs algorithm that simultaneously estimates both the labels and the hyperplane parameters. Nevertheless, the optimization of the MMC algorithm is a non-convex problem. Most of the existing MMC methods rely on the reformulating and the relaxing of the non-convex optimization problem as semi-definite programs (SDP), which are computationally very expensive and only can handle small data sets. Moreover, most of these algorithms are two-class classification, which cannot be used for classification of remotely sensed data. In this paper, a new MMC algorithm is used that solve the original non-convex problem using Alternative Optimization method. This algorithm is also extended for multi-class classification and its performance is evaluated. The results of the proposed algorithm show that the algorithm has acceptable results for hyperspectral data clustering.

Research on image evidence in land supervision and GIS management

NASA Astrophysics Data System (ADS)

Li, Qiu; Wu, Lixin

2006-10-01

Land resource development and utilization brings many problems. The numbers, the scale and volume of illegal land use cases are on the increasing. Since the territory is vast, and the land violations are concealment, it is difficulty for an effective land supervision and management. In this paper, the concepts of evidence, and preservation of evidence were described first. The concepts of image evidence (IE), natural evidence (NE), natural preservation of evidence (NPE), general preservation of evidence (GPE) were proposed based on the characteristics of remote sensing image (RSI) which has a characteristic of objectiveness, truthfulness, high spatial resolution, more information included. Using MapObjects and Visual Basic 6.0, under the Access management to implement the conjunction of spatial vector database and attribute data table; taking RSI as the data sources and background layer; combining the powerful management of geographic information system (GIS) for spatial data, and visual analysis, a land supervision and GIS management system was design and implemented based on NPE. The practical use in Beijing shows that the system is running well, and solved some problems in land supervision and management.

Evolving land cover classification algorithms for multispectral and multitemporal imagery

NASA Astrophysics Data System (ADS)

Brumby, Steven P.; Theiler, James P.; Bloch, Jeffrey J.; Harvey, Neal R.; Perkins, Simon J.; Szymanski, John J.; Young, Aaron C.

2002-01-01

The Cerro Grande/Los Alamos forest fire devastated over 43,000 acres (17,500 ha) of forested land, and destroyed over 200 structures in the town of Los Alamos and the adjoining Los Alamos National Laboratory. The need to measure the continuing impact of the fire on the local environment has led to the application of a number of remote sensing technologies. During and after the fire, remote-sensing data was acquired from a variety of aircraft- and satellite-based sensors, including Landsat 7 Enhanced Thematic Mapper (ETM+). We now report on the application of a machine learning technique to the automated classification of land cover using multi-spectral and multi-temporal imagery. We apply a hybrid genetic programming/supervised classification technique to evolve automatic feature extraction algorithms. We use a software package we have developed at Los Alamos National Laboratory, called GENIE, to carry out this evolution. We use multispectral imagery from the Landsat 7 ETM+ instrument from before, during, and after the wildfire. Using an existing land cover classification based on a 1992 Landsat 5 TM scene for our training data, we evolve algorithms that distinguish a range of land cover categories, and an algorithm to mask out clouds and cloud shadows. We report preliminary results of combining individual classification results using a K-means clustering approach. The details of our evolved classification are compared to the manually produced land-cover classification.

Effects of an off-season conditioning program on the physical characteristics of adolescent rugby union players.

PubMed

Smart, Daniel J; Gill, Nicholas D

2013-03-01

The aims of the study were to determine if a supervised off-season conditioning program enhanced gains in physical characteristics compared with the same program performed in an unsupervised manner and to establish the persistence of the physical changes after a 6-month unsupervised competition period. Forty-four provincial representative adolescent rugby union players (age, mean ± SD, 15.3 ± 1.3 years) participated in a 15-week off-season conditioning program either under supervision from an experienced strength and conditioning coach or unsupervised. Measures of body composition, strength, vertical jump, speed, and anaerobic and aerobic running performance were taken, before, immediately after, and 6 months after the conditioning. Post conditioning program the supervised group had greater improvements in all strength measures than the unsupervised group, with small, moderate and large differences between the groups\\x{2019} changes for chin-ups (9.1%; ± 11.6%), bench-press (16.9%; ± 11.7%) and box-squat (50.4%; ± 20.9%) estimated 1RM respectively. Both groups showed trivial increases in mass; however increases in fat free mass were small and trivial for supervised and unsupervised players respectively. Strength declined in the supervised group while the unsupervised group had small increases during the competition phase, resulting in only a small difference between the long-term changes in box-squat 1RM (15.9%; ± 13.2%). The supervised group had further small increases in fat free mass resulting in a small difference (2.4%; ± 2.7%) in the long-term changes. The postconditioning differences between the 2 groups may have been a result of increased adherence and the attainment of higher training loads during supervised training. The lack of differences in strength after the competition period indicates that supervision should be maintained to reduce substantial decrements in performance.

Strengthening pharmacy practice in vietnam: findings of a training intervention study.

PubMed

Minh, Pham Duc; Huong, Dinh Thi Mai; Byrkit, Ramona; Murray, Marjorie

2013-04-01

To assess the effectiveness of a training and supportive supervision intervention in strengthening the capacity of pharmacy staff in Vietnam to deliver client-oriented, accurate healthcare information and appropriate services for childhood diarrhoea and emergency contraceptive pills (ECP). Pre- and post-intervention study using a cross-sectional design. Pharmacy staff participated in 3 days of training on customer relations, good pharmacy practice, childhood diarrhoea and ECP over a period of 1 month, consisting of lectures, discussion, question-and-answer sessions and role-playing. We compared baseline and 6-month post-intervention surveys to ascertain changes in knowledge, attitudes and practice of pharmacists, using univariate statistics to find significant differences. More than 1200 pharmacists received training and supportive supervision. After interventions, pharmacy staff knowledge was significantly improved on most of the measured indicators. Knowledge of dehydration symptoms for diarrhoea increased from 19% to 88%, and for side effects of ECP increased from 27% to 77%. While assessment of actual practice revealed that this knowledge was not always used, significant improvement was observed. Before interventions, 12% gave information on dehydration symptoms but 45% did so afterwards. The proportion giving information on side effects of ECP increased from 13% to 54%. Providing a programme of training and supportive supervision is an effective way to improve knowledge and practice of pharmacists at private pharmacies in Vietnam. These improvements have the potential to lead to better community health care. © 2013 Blackwell Publishing Ltd.

Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller.

PubMed

Kindermans, Pieter-Jan; Tangermann, Michael; Müller, Klaus-Robert; Schrauwen, Benjamin

2014-06-01

Most BCIs have to undergo a calibration session in which data is recorded to train decoders with machine learning. Only recently zero-training methods have become a subject of study. This work proposes a probabilistic framework for BCI applications which exploit event-related potentials (ERPs). For the example of a visual P300 speller we show how the framework harvests the structure suitable to solve the decoding task by (a) transfer learning, (b) unsupervised adaptation, (c) language model and (d) dynamic stopping. A simulation study compares the proposed probabilistic zero framework (using transfer learning and task structure) to a state-of-the-art supervised model on n = 22 subjects. The individual influence of the involved components (a)-(d) are investigated. Without any need for a calibration session, the probabilistic zero-training framework with inter-subject transfer learning shows excellent performance--competitive to a state-of-the-art supervised method using calibration. Its decoding quality is carried mainly by the effect of transfer learning in combination with continuous unsupervised adaptation. A high-performing zero-training BCI is within reach for one of the most popular BCI paradigms: ERP spelling. Recording calibration data for a supervised BCI would require valuable time which is lost for spelling. The time spent on calibration would allow a novel user to spell 29 symbols with our unsupervised approach. It could be of use for various clinical and non-clinical ERP-applications of BCI.

Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller

NASA Astrophysics Data System (ADS)

Kindermans, Pieter-Jan; Tangermann, Michael; Müller, Klaus-Robert; Schrauwen, Benjamin

2014-06-01

Objective. Most BCIs have to undergo a calibration session in which data is recorded to train decoders with machine learning. Only recently zero-training methods have become a subject of study. This work proposes a probabilistic framework for BCI applications which exploit event-related potentials (ERPs). For the example of a visual P300 speller we show how the framework harvests the structure suitable to solve the decoding task by (a) transfer learning, (b) unsupervised adaptation, (c) language model and (d) dynamic stopping. Approach. A simulation study compares the proposed probabilistic zero framework (using transfer learning and task structure) to a state-of-the-art supervised model on n = 22 subjects. The individual influence of the involved components (a)-(d) are investigated. Main results. Without any need for a calibration session, the probabilistic zero-training framework with inter-subject transfer learning shows excellent performance—competitive to a state-of-the-art supervised method using calibration. Its decoding quality is carried mainly by the effect of transfer learning in combination with continuous unsupervised adaptation. Significance. A high-performing zero-training BCI is within reach for one of the most popular BCI paradigms: ERP spelling. Recording calibration data for a supervised BCI would require valuable time which is lost for spelling. The time spent on calibration would allow a novel user to spell 29 symbols with our unsupervised approach. It could be of use for various clinical and non-clinical ERP-applications of BCI.

Cases of Coastal Zone Change and Land Use/Land Cover Change: a learning module that goes beyond the "how" of doing image processing and change detection to asking the "why" about what are the "driving forces" of global change.

NASA Astrophysics Data System (ADS)

Ford, R. E.

2006-12-01

In 2006 the Loma Linda University ESSE21 Mesoamerican Project (Earth System Science Education for the 21st Century) along with partners such as the University of Redlands and California State University, Pomona, produced an online learning module that is designed to help students learn critical remote sensing skills-- specifically: ecosystem characterization, i.e. doing a supervised or unsupervised classification of satellite imagery in a tropical coastal environment. And, it would teach how to measure land use / land cover change (LULC) over time and then encourage students to use that data to assess the Human Dimensions of Global Change (HDGC). Specific objectives include: 1. Learn where to find remote sensing data and practice downloading, pre-processing, and "cleaning" the data for image analysis. 2. Use Leica-Geosystems ERDAS Imagine or IDRISI Kilimanjaro to analyze and display the data. 3. Do an unsupervised classification of a LANDSAT image of a protected area in Honduras, i.e. Cuero y Salado, Pico Bonito, or Isla del Tigre. 4. Virtually participate in a ground-validation exercise that would allow one to re-classify the image into a supervised classification using the FAO Global Land Cover Network (GLCN) classification system. 5. Learn more about each protected area's landscape, history, livelihood patterns and "sustainability" issues via virtual online tours that provide ground and space photos of different sites. This will help students in identifying potential "training sites" for doing a supervised classification. 6. Study other global, US, Canadian, and European land use/land cover classification systems and compare their advantages and disadvantages over the FAO/GLCN system. 7. Learn to appreciate the advantages and disadvantages of existing LULC classification schemes and adapt them to local-level user needs. 8. Carry out a change detection exercise that shows how land use and/or land cover has changed over time for the protected area of your choice. The presenter will demonstrate the module, assess the collaborative process which created it, and describe how it has been used so far by users in the US as well as in Honduras and elsewhere via a series joint workshops held in Mesoamerica. Suggestions for improvement will be requested. See the module and related content resources at: http://resweb.llu.edu/rford/ESSE21/LUCCModule/

Postgraduate training at the ends of the earth - a way to retain physicians?

PubMed

Straume, Karin; Søndenå, Mona S; Prydz, Peter

2010-01-01

The recruitment and retention of health workers, crucial to health service delivery, is a major challenge in many rural and remote areas. Finnmark, the most remote and northern county in Norway, has faced recurrent shortages during the last 5 decades, especially of primary care physicians. This article describes a postgraduate training model for family physicians and public health/community medicine physicians, based on group tutorial and in-service training in rural areas. The effect of the training programs on physician retention in Finnmark is evaluated by a longitudinal cohort study. In total, 65-67% of the physicians from the programs are still working in the county 5 years after completion of the group tutorial. Rural practice provides good learning conditions when accompanied by appropriate tutelage, and in-service training allows the trainees and their families to 'grow roots' in the remote area while in training. The group tutorial develops peer support and professional networks to alleviate professional isolation. On the basis of these findings, traditional centralistic training models are challenged. Postgraduate (vocational) training (residency) for primary care physicians can be successfully carried out in-service in remote areas, in a manner that enhances retention without compromising the quality of the training.

Distinct Transfer Effects of Training Different Facets of Working Memory Capacity

ERIC Educational Resources Information Center

von Bastian, Claudia C.; Oberauer, Klaus

2013-01-01

The impact of working memory training on a broad set of transfer tasks was examined. Each of three groups of participants trained one specific functional category of working memory capacity: storage and processing, relational integration, and supervision. A battery comprising tests to measure working memory, task shifting, inhibition, and…

Evaluating and Training Substance Abuse Counselors: A Pilot Study Assessing Standardized Patients as Authentic Clients

ERIC Educational Resources Information Center

Fussell, Holly E.; Lewy, Colleen S.; McFarland, Bentson H.

2009-01-01

Clinician training and supervision are needed to transfer evidence-based practices to community-based treatment organizations. Standardized patients (SPs) are used for clinician training and evaluating. However, to be effective for substance abuse counselors, SPs must realistically portray substance abuse treatment clients. The current study…

Development of a Continuum of Services for Children and Adults with Autism and Other Severe Behavior Disorders.

ERIC Educational Resources Information Center

Luce, Stephen C.; And Others

1992-01-01

Key elements of a continuum of services for individuals with autism and other severe behavior disorders are described, focusing on development of a strong central organization; funding; staff recruitment, training, supervision, and evaluation; program evaluation; outreach parent training; home-based early intervention; vocational training;…

25 CFR 36.86 - Are there staff training requirements?

Code of Federal Regulations, 2011 CFR

2011-04-01

... 25 Indians 1 2011-04-01 2011-04-01 false Are there staff training requirements? 36.86 Section 36... Programs Staffing § 36.86 Are there staff training requirements? (a) All homeliving program staff as well... licensing requirements. (b) All homeliving program staff as well as all employees who supervise students...

25 CFR 36.86 - Are there staff training requirements?

Code of Federal Regulations, 2012 CFR

2012-04-01

... 25 Indians 1 2012-04-01 2011-04-01 true Are there staff training requirements? 36.86 Section 36.86... Staffing § 36.86 Are there staff training requirements? (a) All homeliving program staff as well as all.... (b) All homeliving program staff as well as all employees who supervise students participating in...

25 CFR 36.86 - Are there staff training requirements?

Code of Federal Regulations, 2013 CFR

2013-04-01

... 25 Indians 1 2013-04-01 2013-04-01 false Are there staff training requirements? 36.86 Section 36... Programs Staffing § 36.86 Are there staff training requirements? (a) All homeliving program staff as well... licensing requirements. (b) All homeliving program staff as well as all employees who supervise students...

25 CFR 36.86 - Are there staff training requirements?

Code of Federal Regulations, 2014 CFR

2014-04-01

... 25 Indians 1 2014-04-01 2014-04-01 false Are there staff training requirements? 36.86 Section 36... Programs Staffing § 36.86 Are there staff training requirements? (a) All homeliving program staff as well... licensing requirements. (b) All homeliving program staff as well as all employees who supervise students...

25 CFR 36.86 - Are there staff training requirements?

Code of Federal Regulations, 2010 CFR

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Are there staff training requirements? 36.86 Section 36... Programs Staffing § 36.86 Are there staff training requirements? (a) All homeliving program staff as well... licensing requirements. (b) All homeliving program staff as well as all employees who supervise students...

Supervisor as Supervisee: Factors that Influence Doctoral Students' Self-Efficacy as Supervisors

ERIC Educational Resources Information Center

Frick, Melodie Henson

2009-01-01

There have been many studies on supervising counselors-in-training; few researchers, however, have empirically examined the experiences of doctoral students as they train to become supervisors. More specifically, little is known about what factors influence the self-efficacy of doctoral students as supervisors-in-training while they work in the…

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.

Training of attention and memory deficits in children with acquired brain injury.

PubMed

Sjö, N Madsen; Spellerberg, S; Weidner, S; Kihlgren, M

2010-02-01

This pilot study concerns cognitive rehabilitation of children with acquired brain injury (ABI). The aim is threefold; to determine (1) whether the Amsterdam Memory and Attention Training for Children (AMAT-C) programme for children with ABI can be integrated in the child's school, (2) whether supervision in the school-setting maintains the child's motivation throughout the training programme and (3) whether positive changes in memory, attention and executive functions are found with this implementation of the training method. Seven children with memory and/or attention deficits after ABI were trained with AMAT-C. Measures used were programme evaluation questions, neuropsychological tests and a questionnaire concerning executive functions. Overall, children, parents and trainers were satisfied with the programme and the children were motivated throughout the programme. The children showed significant improvements in neuropsychological subtests, primarily in tests of learning and memory. No overall change in executive functions was noted. Provision of AMAT-C training and supervision at the child's school appears to ensure (1) satisfaction with the programme, (2) sustaining of motivation and (3) improvements in learning and memory.

Strength Training in Children and Adolescents

PubMed Central

Dahab, Katherine Stabenow; McCambridge, Teri Metcalf

2009-01-01

Context: Strength training in children, in combination with plyometric and/or agility training, has become an increasingly popular tactic for athletes to gain a competitive edge during the off-season. The present review clarifies some common myths associated with strength training in children, and it outlines the most current recommendations. Evidence Acquisition: Relevant studies on strength training in children and adolescents were reviewed (search results included studies indexed in PubMed and MEDLINE from 1980 through 2008). Also reviewed were recommendations from consensus guidelines and position statements applicable to strength training in youth. Results: Children can improve strength by 30% to 50% after just 8 to 12 weeks of a well-designed strength training program. Youth need to continue to train at least 2 times per week to maintain strength. The case reports of injuries related to strength training, including epiphyseal plate fractures and lower back injuries, are primarily attributed to the misuse of equipment, inappropriate weight, improper technique, or lack of qualified adult supervision. Conclusion: Youth—athletes and nonathletes alike—can successfully and safely improve their strength and overall health by participating in a well-supervised program. Trained fitness professionals play an essential role in ensuring proper technique, form, progression of exercises, and safety in this age group. PMID:23015875

Detecting Parkinsons' symptoms in uncontrolled home environments: a multiple instance learning approach.

PubMed

Das, Samarjit; Amoedo, Breogan; De la Torre, Fernando; Hodgins, Jessica

2012-01-01

In this paper, we propose to use a weakly supervised machine learning framework for automatic detection of Parkinson's Disease motor symptoms in daily living environments. Our primary goal is to develop a monitoring system capable of being used outside of controlled laboratory settings. Such a system would enable us to track medication cycles at home and provide valuable clinical feedback. Most of the relevant prior works involve supervised learning frameworks (e.g., Support Vector Machines). However, in-home monitoring provides only coarse ground truth information about symptom occurrences, making it very hard to adapt and train supervised learning classifiers for symptom detection. We address this challenge by formulating symptom detection under incomplete ground truth information as a multiple instance learning (MIL) problem. MIL is a weakly supervised learning framework that does not require exact instances of symptom occurrences for training; rather, it learns from approximate time intervals within which a symptom might or might not have occurred on a given day. Once trained, the MIL detector was able to spot symptom-prone time windows on other days and approximately localize the symptom instances. We monitored two Parkinson's disease (PD) patients, each for four days with a set of five triaxial accelerometers and utilized a MIL algorithm based on axis parallel rectangle (APR) fitting in the feature space. We were able to detect subject specific symptoms (e.g. dyskinesia) that conformed with a daily log maintained by the patients.

Remote sensing training needs in professional forest and range resource management curricula

NASA Technical Reports Server (NTRS)

Meyer, M. P.

1981-01-01

The status of remote sensing training in accredited U.S. forestry schools is reviewed. It is noted that there is a serious lack of emphasis on aerial photography and aerial photointerpretation in the current curricula. This lack of training at the professional school limits entering employee capability and necessitates expensive on-the-job training.

Online learning versus blended learning of clinical supervisee skills with pre-registration nursing students: A randomised controlled trial.

PubMed

McCutcheon, Karen; O'Halloran, Peter; Lohan, Maria

2018-06-01

The World Health Organisation amongst others recognises the need for the introduction of clinical supervision education in health professional education as a central strategy for improving patient safety and patient care. Online and blended learning methods are growing exponentially in use in higher education and the systematic evaluation of these methods will aid understanding of how best to teach clinical supervision. The purpose of this study was to test whether undergraduate nursing students who received clinical supervisee skills training via a blended learning approach would score higher in terms of motivation and attitudes towards clinical supervision, knowledge of clinical supervision and satisfaction of learning method, when compared to those students who received an online only teaching approach. A post-test-only randomised controlled trial. Participants were a total of 122 pre-registration nurses enrolled at one United Kingdom university, randomly assigned to the online learning control group (n = 60) or the blended learning intervention group (n = 62). The blended learning intervention group participated in a face-to-face tutorial and the online clinical supervisee skills training app. The online learning control group participated in an online discussion forum and the same online clinical supervisee skills training app. The outcome measures were motivation and attitudes using the modified Manchester Clinical Supervision Scale, knowledge using a 10 point Multiple Choice Questionnaire and satisfaction using a university training evaluation tool. Statistical analysis was performed using independent t-tests to compare the differences between the means of the control group and the intervention group. Thematic analysis was used to analyse responses to open-ended questions. All three of our study hypotheses were confirmed. Participants who received clinical supervisee skills training via a blended learning approach scored higher in terms of motivation and attitudes - mean (m) = 85.5, standard deviation (sd) = 9.78, number of participants (n) = 62 - compared to the online group (m = 79.5, sd = 9.69, n = 60) (p = .001). The blended learning group also scored higher in terms of knowledge (m = 4.2, sd = 1.43, n = 56) compared to the online group (m = 3.51, sd = 1.51, n = 57) (p = .015); and in terms of satisfaction (m = 30.89, sd = 6.54, n = 57) compared to the online group (m = 26.49, sd = 6.93, n = 55) (p = .001). Qualitative data supported results. Blended learning provides added pedagogical value when compared to online learning in terms of teaching undergraduate nurses clinical supervision skills. The evidence is timely given worldwide calls for expanding clinical skills supervision in undergraduate health professional education to improve quality of care and patient safety. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Application of learning to rank to protein remote homology detection.

PubMed

Liu, Bin; Chen, Junjie; Wang, Xiaolong

2015-11-01

Protein remote homology detection is one of the fundamental problems in computational biology, aiming to find protein sequences in a database of known structures that are evolutionarily related to a given query protein. Some computational methods treat this problem as a ranking problem and achieve the state-of-the-art performance, such as PSI-BLAST, HHblits and ProtEmbed. This raises the possibility to combine these methods to improve the predictive performance. In this regard, we are to propose a new computational method called ProtDec-LTR for protein remote homology detection, which is able to combine various ranking methods in a supervised manner via using the Learning to Rank (LTR) algorithm derived from natural language processing. Experimental results on a widely used benchmark dataset showed that ProtDec-LTR can achieve an ROC1 score of 0.8442 and an ROC50 score of 0.9023 outperforming all the individual predictors and some state-of-the-art methods. These results indicate that it is correct to treat protein remote homology detection as a ranking problem, and predictive performance improvement can be achieved by combining different ranking approaches in a supervised manner via using LTR. For users' convenience, the software tools of three basic ranking predictors and Learning to Rank algorithm were provided at http://bioinformatics.hitsz.edu.cn/ProtDec-LTR/home/ bliu@insun.hit.edu.cn Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

The Learning Process of Supervisees Who Engage in the Reflecting Team Model within Group Supervision: A Grounded Theory Inquiry

ERIC Educational Resources Information Center

Pender, Rebecca Lynn

2012-01-01

In recent years, counselor educators have begun to incorporate the use of the reflecting team process with the training of counselors. Specifically, the reflecting team has been used in didactic courses (Cox, 2003; Landis & Young, 1994; Harrawood, Wilde & Parmanand, 2011) and in supervision (Cox, 1997; Prest, Darden, & Keller, 1990;…

Team Sports: A Place for Primary Care

PubMed Central

Hancock, Larry

1985-01-01

Physicians' role in team sports goes beyond the traditional ‘Doc’ who attends the game for stitching and primary injury management. Injury and illness prevention, ongoing supervision of rehabilitation, education, fitness evaluation, and training prescription are roles which have often fallen, by default, to paramedicals. The author recounts his experience in medical supervision of major junior hockey in the Western Hockey League. PMID:21274088

The Missing Ingredients in Reflective Supervision: Helping Staff Members Learn about and Fully Participate in the Supervisory Process

ERIC Educational Resources Information Center

Heffron, Mary Claire; Murch, Trudi

2018-01-01

Successful implementation of a reflective supervision (RS) model in an agency or system requires careful attention to the learning needs of supervisees. Although supervisors and managers typically receive orientation and training to help them understand and implement RS, their staff rarely do. In this article, the authors explore supervisees'…

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…

A deep learning and novelty detection framework for rapid phenotyping in high-content screening

PubMed Central

Sommer, Christoph; Hoefler, Rudolf; Samwer, Matthias; Gerlich, Daniel W.

2017-01-01

Supervised machine learning is a powerful and widely used method for analyzing high-content screening data. Despite its accuracy, efficiency, and versatility, supervised machine learning has drawbacks, most notably its dependence on a priori knowledge of expected phenotypes and time-consuming classifier training. We provide a solution to these limitations with CellCognition Explorer, a generic novelty detection and deep learning framework. Application to several large-scale screening data sets on nuclear and mitotic cell morphologies demonstrates that CellCognition Explorer enables discovery of rare phenotypes without user training, which has broad implications for improved assay development in high-content screening. PMID:28954863

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.