WorldWideScience

Sample records for automatic train supervision

  1. Advanced Music Therapy Supervision Training

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2009-01-01

    supervision training excerpts live in the workshop will be offered. The workshop will include demonstrating a variety of supervision methods and techniques used in A) post graduate music therapy training programs b) a variety of work contexts such as psychiatry and somatic music psychotherapy. The workshop......The presentation will illustrate training models in supervision for experienced music therapists where transference/counter transference issues are in focus. Musical, verbal and body related tools will be illustrated from supervision practice by the presenters. A possibility to experience small...

  2. Supervised Classification Using Balanced Training

    OpenAIRE

    Du, Mian; Pierce, Matthew; Pivovarova, Lidia; Yangarber, Roman

    2014-01-01

    We examine supervised learning for multi-class, multi-label text classification. We are interested in exploring classification in a real-world setting, where the distribution of labels may change dynamically over time. First, we compare the performance of an array of binary classifiers trained on the label distribution found in the original corpus against classifiers trained on balanced data, where we try to make the label distribution as nearly uniform as possible. We discuss the performance...

  3. Supervised Mineral Classification with Semi-automatic Training and Validation Set Generation in Scanning Electron Microscope Energy Dispersive Spectroscopy Images of Thin Sections

    DEFF Research Database (Denmark)

    Flesche, Harald; Nielsen, Allan Aasbjerg; Larsen, Rasmus

    2000-01-01

    This paper addresses the problem of classifying minerals common in siliciclastic and carbonate rocks. Twelve chemical elements are mapped from thin sections by energy dispersive spectroscopy in a scanning electron microscope (SEM). Extensions to traditional multivariate statistical methods...... are applied to perform the classification. First, training and validation sets are grown from one or a few seed points by a method that ensures spatial and spectral closeness of observations. Spectral closeness is obtained by excluding observations that have high Mahalanobis distances to the training class......–Matusita distance and the posterior probability of a class mean being classified as another class. Fourth, the actual classification is carried out based on four supervised classifiers all assuming multinormal distributions: simple quadratic, a contextual quadratic, and two hierarchical quadratic classifiers...

  4. Pervasive Sound Sensing: A Weakly Supervised Training Approach.

    Science.gov (United States)

    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.

  5. The Spiritual Genogram in Training and Supervision.

    Science.gov (United States)

    Frame, Marsha Wiggins

    2001-01-01

    Describes the spiritual genogram, a blueprint of family members' multigenerational religious and spiritual affiliations, events, and conflicts. Used as a tool in both training and supervision, the spiritual genogram enables students and supervisees to make sense of their own religious and spiritual heritage and to explore the ways in which their…

  6. Automatically controlled training systems

    International Nuclear Information System (INIS)

    Milashenko, A.; Afanasiev, A.

    1990-01-01

    This paper reports that the computer system for NPP personnel training was developed for training centers in the Soviet Union. The system should be considered as the first step in training, taking into account that further steps are to be devoted to part-task and full scope simulator training. The training room consists of 8-12 IBM PC/AT personal computers combined into a network. A trainee accesses the system in a dialor manner. Software enables the instructor to determine the trainee's progress in different subjects of the program. The quality of any trainee preparedness may be evaluated by Knowledge Control operation. Simplified dynamic models are adopted for separate areas of the program. For example, the system of neutron flux monitoring has a dedicated model. Currently, training, requalification and support of professional qualifications of nuclear power plant operators is being emphasized. A significant number of emergency situations during work are occurring due to operator errors. Based on data from September-October 1989, more than half of all unplanned drops in power and stoppages of power plants were due to operator error. As a comparison, problems due to equipment malfunction accounted for no more than a third of the total. The role of personnel, especially of the operators, is significant during normal operations, since energy production costs as well as losses are influenced by the capability of the staff. These facts all point to the importance of quality training of personnel

  7. 30 CFR 250.1616 - Supervision, surveillance, and training.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 2 2010-07-01 2010-07-01 false Supervision, surveillance, and training. 250.1616 Section 250.1616 Mineral Resources MINERALS MANAGEMENT SERVICE, DEPARTMENT OF THE INTERIOR... Supervision, surveillance, and training. (a) The lessee shall provide onsite supervision of drilling...

  8. The state of psychotherapy supervision: recommendations for future training.

    Science.gov (United States)

    Weerasekera, Priyanthy

    2013-06-01

    This paper reviews the current state of psychotherapy supervision in psychiatric training programmes. A focused literature search was carried out that examined three questions concerning the content, process and outcome of psychotherapy supervision. Results indicate that although requirements for training have broadened somewhat, methods of instruction in supervision have remained the same for many decades. In addition, there is a lack of discussion on what supervision outcomes should be assessed. This paper explores these areas and provides some suggestions for the future of psychotherapy supervision that are evidence-based and generalizable to an international audience. It is time to arrive at an international consensus about guidelines for psychotherapy supervision in psychiatry training programmes. This paper attempts to provide a starting place for psychotherapy supervisors and educators so that we can advance the field forward.

  9. Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Vernooij, Meike W; Ikram, M.Arfan

    2015-01-01

    Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images to segment. However, due to differences between...... scanners, scanning parameters, and patients such a training set may be difficult to obtain. We present a transfer-learning approach to segmentation by multi-feature voxelwise classification. The presented method can be trained using a heterogeneous set of training images that may be obtained with different...

  10. An Empirical Approach to Supervision and Training of Relationship Therapists.

    Science.gov (United States)

    Mead, Eugene; Crane, D. Russell

    1978-01-01

    This paper presents an empirical approach to supervision and training of marriage and family therapists. Advantages from the use of the empirical approach include a systematic investigation of the skills and competencies of the therapists, and establishing the basis for the scientific study of supervision. Two case studies are given. (Author)

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

    Science.gov (United States)

    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).

  12. Automatic age and gender classification using supervised appearance model

    Science.gov (United States)

    Bukar, Ali Maina; Ugail, Hassan; Connah, David

    2016-11-01

    Age and gender classification are two important problems that recently gained popularity in the research community, due to their wide range of applications. Research has shown that both age and gender information are encoded in the face shape and texture, hence the active appearance model (AAM), a statistical model that captures shape and texture variations, has been one of the most widely used feature extraction techniques for the aforementioned problems. However, AAM suffers from some drawbacks, especially when used for classification. This is primarily because principal component analysis (PCA), which is at the core of the model, works in an unsupervised manner, i.e., PCA dimensionality reduction does not take into account how the predictor variables relate to the response (class labels). Rather, it explores only the underlying structure of the predictor variables, thus, it is no surprise if PCA discards valuable parts of the data that represent discriminatory features. Toward this end, we propose a supervised appearance model (sAM) that improves on AAM by replacing PCA with partial least-squares regression. This feature extraction technique is then used for the problems of age and gender classification. Our experiments show that sAM has better predictive power than the conventional AAM.

  13. Semi-supervised and active learning for automatic segmentation of Crohn's disease.

    Science.gov (United States)

    Mahapatra, Dwarikanath; Schüffler, Peter J; Tielbeek, Jeroen A W; Vos, Franciscus M; Buhmann, Joachim M

    2013-01-01

    Our proposed method combines semi supervised learning (SSL) and active learning (AL) for automatic detection and segmentation of Crohn's disease (CD) from abdominal magnetic resonance (MR) images. Random forest (RF) classifiers are used due to fast SSL classification and capacity to interpret learned knowledge. Query samples for AL are selected by a novel information density weighted approach using context information, semantic knowledge and labeling uncertainty. Experimental results show that our proposed method combines the advantages of SSL and AL, and with fewer samples achieves higher classification and segmentation accuracy over fully supervised methods.

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

    Science.gov (United States)

    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.

  15. Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

    Science.gov (United States)

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

    2015-08-01

    Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images to segment. However, due to differences between scanners, scanning parameters, and patients such a training set may be difficult to obtain. We present a transfer-learning approach to segmentation by multi-feature voxelwise classification. The presented method can be trained using a heterogeneous set of training images that may be obtained with different scanners than the target image. In our approach each training image is given a weight based on the distribution of its voxels in the feature space. These image weights are chosen as to minimize the difference between the weighted probability density function (PDF) of the voxels of the training images and the PDF of the voxels of the target image. The voxels and weights of the training images are then used to train a weighted classifier. We tested our method on three segmentation tasks: brain-tissue segmentation, skull stripping, and white-matter-lesion segmentation. For all three applications, the proposed weighted classifier significantly outperformed an unweighted classifier on all training images, reducing classification errors by up to 42%. For brain-tissue segmentation and skull stripping our method even significantly outperformed the traditional approach of training on representative training images from the same study as the target image. Copyright © 2015 Elsevier B.V. All rights reserved.

  16. Supervision in neuropsychological assessment: a survey of training, practices, and perspectives of supervisors.

    Science.gov (United States)

    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.

  17. Development of the Motivational Interviewing Supervision and Training Scale.

    Science.gov (United States)

    Madson, Michael B; Campbell, Todd C; Barrett, David E; Brondino, Michael J; Melchert, Timothy P

    2005-09-01

    The movement to use empirically supported treatments has increased the need for researchers and supervisors to evaluate therapists' adherence to and the quality with which they implement those interventions. Few empirically supported approaches exist for providing these types of evaluations. This is also true for motivational interviewing, an empirically supported intervention important in the addictions field. This study describes the development and psychometric evaluation of the Motivational Interviewing Supervision and Training Scale (MISTS), a measure intended for use in training and supervising therapists implementing motivational interviewing. Satisfactory interrater reliability was found (generalizability coefficient p(2) = .79), and evidence was found supporting the convergent and discriminant validity of the MISTS. Recommendations for refinement of the measure and future research are discussed. ((c) 2005 APA, all rights reserved).

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

    Science.gov (United States)

    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…

  19. Psychodynamic treatment, training, and supervision using internet-based technologies.

    Science.gov (United States)

    Fishkin, Ralph; Fishkin, Lana; Leli, Ubaldo; Katz, Barbara; Snyder, Elise

    2011-01-01

    For several years, the China American Psychoanalytic Alliance (CAPA) has provided treatment, training, and supervision to Chinese mental health professionals over the Internet. The lack of Chinese analysts and mentors has created an intense demand for psychodynamic psychotherapy training and treatment that CAPA is addressing using Skype™ and other distance communication technologies. This article describes the project, its history, scope, and activities, and the experiences of CAPA teachers and clinicians in exploring and developing the usefulness and power of this very new teaching method. Some particular characteristics of Chinese culture have become apparent as a result of the teaching experience. Aspects of the transference and countertransference that are shaped by the virtual nature of the technology are discussed, using case material. Our hope is that, in helping to train our Chinese students in psychodynamic psychotherapy, they will go on to train future generations of clinicians. This model of teaching and training could also be applied in other underserved areas.

  20. 49 CFR 236.825 - System, automatic train control.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false System, automatic train control. 236.825 Section..., INSPECTION, MAINTENANCE, AND REPAIR OF SIGNAL AND TRAIN CONTROL SYSTEMS, DEVICES, AND APPLIANCES Definitions § 236.825 System, automatic train control. A system so arranged that its operation will automatically...

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

    Science.gov (United States)

    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 supervision experience and formal training (ρ = 0.42, p 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.

  2. Training Substance Abuse Clinicians in Motivational Interviewing Using Live Supervision via Teleconferencing

    Science.gov (United States)

    Smith, Jennifer L.; Carpenter, Kenneth M.; Amrhein, Paul C.; Brooks, Adam C.; Levin, Deborah; Schreiber, Elizabeth A.; Travaglini, Laura A.; Hu, Mei-Chen; Nunes, Edward V.

    2012-01-01

    Objective: Training through traditional workshops is relatively ineffective for changing counseling practices. Teleconferencing supervision (TCS) was developed to provide remote, live supervision for training motivational interviewing (MI). Method: Ninety-seven drug treatment counselors completed a 2-day MI workshop and were randomized to live…

  3. Charisma: an integrated approach to automatic H&E-stained skeletal muscle cell segmentation using supervised learning and novel robust clump splitting.

    Science.gov (United States)

    Janssens, Thomas; Antanas, Laura; Derde, Sarah; Vanhorebeek, Ilse; Van den Berghe, Greet; Güiza Grandas, Fabian

    2013-12-01

    Histological image analysis plays a key role in understanding the effects of disease and treatment responses at the cellular level. However, evaluating histology images by hand is time-consuming and subjective. While semi-automatic and automatic approaches for image segmentation give acceptable results in some branches of histological image analysis, until now this has not been the case when applied to skeletal muscle histology images. We introduce Charisma, a new top-down cell segmentation framework for histology images which combines image processing techniques, a supervised trained classifier and a novel robust clump splitting algorithm. We evaluate our framework on real-world data from intensive care unit patients. Considering both segmentation and cell property distributions, the results obtained by our method correspond well to the ground truth, outperforming other examined methods. Copyright © 2013 Elsevier B.V. All rights reserved.

  4. Cliché, Gossip, and Anecdote as Supervision Training

    Science.gov (United States)

    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…

  5. Automatic classification of white regions in liver biopsies by supervised machine learning.

    Science.gov (United States)

    Vanderbeck, Scott; Bockhorst, Joseph; Komorowski, Richard; Kleiner, David E; Gawrieh, Samer

    2014-04-01

    Automated assessment of histological features of non-alcoholic fatty liver disease (NAFLD) may reduce human variability and provide continuous rather than semiquantitative measurement of these features. As part of a larger effort, we perform automatic classification of steatosis, the cardinal feature of NAFLD, and other regions that manifest as white in images of hematoxylin and eosin-stained liver biopsy sections. These regions include macrosteatosis, central veins, portal veins, portal arteries, sinusoids and bile ducts. Digital images of hematoxylin and eosin-stained slides of 47 liver biopsies from patients with normal liver histology (n = 20) and NAFLD (n = 27) were obtained at 20× magnification. The images were analyzed using supervised machine learning classifiers created from annotations provided by two expert pathologists. The classification algorithm performs with 89% overall accuracy. It identified macrosteatosis, bile ducts, portal veins and sinusoids with high precision and recall (≥ 82%). Identification of central veins and portal arteries was less robust but still good. The accuracy of the classifier in identifying macrosteatosis is the best reported. The accurate automated identification of macrosteatosis achieved with this algorithm has useful clinical and research-related applications. The accurate detection of liver microscopic anatomical landmarks may facilitate important subsequent tasks, such as localization of other histological lesions according to liver microscopic anatomy. Copyright © 2014 Elsevier Inc. All rights reserved.

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

    Science.gov (United States)

    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…

  7. Learning outcomes using video in supervision and peer feedback during clinical skills training

    DEFF Research Database (Denmark)

    Lauridsen, Henrik Hein; Toftgård, Rie Castella; Nørgaard, Cita

    Objective New technology and learning principles were introduced in a clinical skills training laboratory (iLab). The intension was to move from apprenticeship to active learning principles including peer feedback and supervision using video. The objective of this study was to evaluate student...... learning outcomes in a manual skills training subject using video during feedback and supervision. Methods The iLab classroom was designed to fit four principles of teaching using video. Two of these principles were (a) group work using peer-feedback on videos produced by the students and, (b) video...... supervision of clinical skills (formative assessment). Demonstrations of these principles will be presented as video podcasts during the session. The learning outcomes of video supervision and peer-feedback were assessed in an online questionnaire survey. Results Results of the supervision showed large self...

  8. Training for Geropsychology Supervision and Practice: Perspectives of Geropsychology Program Graduates.

    Science.gov (United States)

    Karel, Michele J; Sakai, Erin Y; Molinari, Victor; Moye, Jennifer; Carpenter, Brian

    2016-02-01

    Addressing the geropsychology workforce shortage requires ongoing training of psychologists to develop geropsychology competencies, as well as expanding the number of geropsychology supervisors to train them. This study surveyed graduates of geropsychology doctoral and postdoctoral training programs regarding their current geropsychology practice and supervision activities and perceptions of their own training preparation for these activities. One hundred psychologists (87 who had completed all formal training and 13 current postdoctoral fellows) responded to an online survey. Of those who had completed geropsychology training, 82% reported currently engaging in clinical care, and 55% reported providing supervision; more than half of clinical and supervision activities focused on older adults. Participants reported generally strong quality of training to prepare them for providing geropsychology services; areas of more uneven preparation included family and group interventions and select consultation activities. Participants reported quite variable preparation for general supervision practice, and desire for more training and practice in supervisory roles. Geropsychology training programs may use feedback from graduates for ongoing program development, and professional geropsychology may wish to consider forums for enhancing geropsychology supervision skills.

  9. Twelve tips on how to set up postgraduate training via remote clinical supervision

    DEFF Research Database (Denmark)

    Wearne, Susan; Dornan, Tim; Teunissen, Pim W.

    2013-01-01

    Doctors-in-training can now be supervised remotely by specialist clinicians using information and communication technology. This provides an intermediate stage of professional development between on-site supervision and independent medical practice. Remote supervision could increase training...... with resilience, insight into their strengths and weaknesses, capacity to self-monitor and correct, and willingness to seek help. These doctors benefit from remote supervisors who facilitate their learning, monitor their well-being, and support them holistically. Educational organisations need to oversee remote...

  10. Automatic Labelling and Selection of Training Samples for High-Resolution Remote Sensing Image Classification over Urban Areas

    Directory of Open Access Journals (Sweden)

    Xin Huang

    2015-12-01

    Full Text Available Supervised classification is the commonly used method for extracting ground information from images. However, for supervised classification, the selection and labelling of training samples is an expensive and time-consuming task. Recently, automatic information indexes have achieved satisfactory results for indicating different land-cover classes, which makes it possible to develop an automatic method for labelling the training samples instead of manual interpretation. In this paper, we propose a method for the automatic selection and labelling of training samples for high-resolution image classification. In this way, the initial candidate training samples can be provided by the information indexes and open-source geographical information system (GIS data, referring to the representative land-cover classes: buildings, roads, soil, water, shadow, and vegetation. Several operations are then applied to refine the initial samples, including removing overlaps, removing borders, and semantic constraints. The proposed sampling method is evaluated on a series of high-resolution remote sensing images over urban areas, and is compared to classification with manually labeled training samples. It is found that the proposed method is able to provide and label a large number of reliable samples, and can achieve satisfactory results for different classifiers. In addition, our experiments show that active learning can further enhance the classification performance, as active learning is used to choose the most informative samples from the automatically labeled samples.

  11. Effect of training supervision on effectiveness of strength training for reducing neck/shoulder pain and headache in office workers

    DEFF Research Database (Denmark)

    Gram, Bibi; Andersen, Christoffer; Zebis, Mette Kreutzfeldt

    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...

  12. Supervised non-negative tensor factorization for automatic hyperspectral feature extraction and target discrimination

    Science.gov (United States)

    Anderson, Dylan; Bapst, Aleksander; Coon, Joshua; Pung, Aaron; Kudenov, Michael

    2017-05-01

    Hyperspectral imaging provides a highly discriminative and powerful signature for target detection and discrimination. Recent literature has shown that considering additional target characteristics, such as spatial or temporal profiles, simultaneously with spectral content can greatly increase classifier performance. Considering these additional characteristics in a traditional discriminative algorithm requires a feature extraction step be performed first. An example of such a pipeline is computing a filter bank response to extract spatial features followed by a support vector machine (SVM) to discriminate between targets. This decoupling between feature extraction and target discrimination yields features that are suboptimal for discrimination, reducing performance. This performance reduction is especially pronounced when the number of features or available data is limited. In this paper, we propose the use of Supervised Nonnegative Tensor Factorization (SNTF) to jointly perform feature extraction and target discrimination over hyperspectral data products. SNTF learns a tensor factorization and a classification boundary from labeled training data simultaneously. This ensures that the features learned via tensor factorization are optimal for both summarizing the input data and separating the targets of interest. Practical considerations for applying SNTF to hyperspectral data are presented, and results from this framework are compared to decoupled feature extraction/target discrimination pipelines.

  13. Randomized trial of training and supervision in motivational interviewing with adolescent drug treatment practitioners.

    Science.gov (United States)

    Mitcheson, Luke; Bhavsar, Kaanan; McCambridge, Jim

    2009-07-01

    Motivational interviewing is an empirically supported treatment for drug and alcohol problems. Training in this approach is very popular, although previous studies have identified that the acquisition of key skills is challenging and that postworkshop supervision inputs are helpful. This pilot trial investigated the training of adolescent drug treatment practitioners, comparing a group who received immediate training against a delayed training study condition. Training and supervision were found to have no impact upon skill levels as measured by the Motivational Interviewing Treatment Integrity Version 2, with the exception of a very specific effect on motivational interviewing spirit. Motivational interviewing was not easy to learn for these practitioners. Progress made indicates the importance of ongoing supervision, and for high level skill acquisition to occur requires more intensive support of learning from ongoing practice than was used here.

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

    Science.gov (United States)

    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.

  15. Training Substance Abuse Clinicians in Motivational Interviewing Using Live Supervision via Tele-conferencing

    Science.gov (United States)

    Smith, Jennifer L.; Carpenter, Kenneth M.; Amrhein, Paul C.; Brooks, Adam C.; Levin, Deborah; Schreiber, Elizabeth A.; Travaglini, Laura A.; Hu, Mei-Chen; Nunes, Edward V.

    2012-01-01

    Background Training through traditional workshops is relatively ineffective for changing counseling practices. Tele-conferencing Supervision (TCS) was developed to provide remote, live supervision for training motivational interviewing (MI). Method 97 community drug treatment counselors completed a 2-day MI workshop and were randomized to: live supervision via tele-conferencing (TCS; n=32), standard tape-based supervision (Tape; n=32), or workshop alone (Workshop; n=33). Supervision conditions received 5 weekly supervision sessions at their sites using actors as standard patients. Sessions with clients were rated for MI skill with the Motivational Interviewing Treatment Integrity (MITI) coding system pre-workshop and 1, 8, and 20 weeks post-workshop. Mixed effects linear models were used to test training condition on MI skill at 8 and 20 weeks. Results TCS scored better than Workshop on the MITI for Spirit (mean difference = 0.76; p < .0001; d = 1.01) and Empathy (mean difference = 0.68; p < .001; d = 0.74). Tape supervision fell between TCS and Workshop, with Tape superior to Workshop for Spirit (mean difference = 0.40; p < .05). TCS was superior to Workshop in reducing MI non-adherence and increasing MI adherence, and was superior to Workshp and Tape in increasing the reflection to question ratio. Tape was superior to TCS in increasing complex reflections. Percentage of counselors meeting proficiency differed significantly between training conditions for the most stringent threshold (Spirit and Empathy scores ≥ 6), and were modest, ranging from 13% to 67%, for TCS and Tape. Conclusion TCS shows promise for promoting new counseling behaviors following participation in workshop training. However, further work is needed to improve supervision methods in order to bring more clinicians to high levels of proficiency and facilitate the dissemination of evidence-based practices. PMID:22506795

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

    Science.gov (United States)

    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.

  17. Bayesian supervised dimensionality reduction.

    Science.gov (United States)

    Gönen, Mehmet

    2013-12-01

    Dimensionality reduction is commonly used as a preprocessing step before training a supervised learner. However, coupled training of dimensionality reduction and supervised learning steps may improve the prediction performance. In this paper, we introduce a simple and novel Bayesian supervised dimensionality reduction method that combines linear dimensionality reduction and linear supervised learning in a principled way. We present both Gibbs sampling and variational approximation approaches to learn the proposed probabilistic model for multiclass classification. We also extend our formulation toward model selection using automatic relevance determination in order to find the intrinsic dimensionality. Classification experiments on three benchmark data sets show that the new model significantly outperforms seven baseline linear dimensionality reduction algorithms on very low dimensions in terms of generalization performance on test data. The proposed model also obtains the best results on an image recognition task in terms of classification and retrieval performances.

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

    Science.gov (United States)

    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.

  19. Supervised and home-based exercise training for patients with intermittent claudication

    Science.gov (United States)

    Wang, Jianxiong; Zhou, Shi; Bronks, Roger; Graham, John; Myers, Stephen

    2008-01-01

    Home-based exercise training, applied as the primary treatment in patients with intermittent claudication, has produced inconsistent effects on walking capacity in previous published studies. The aim of the present study was to evaluate whether a home-based exercise training program could maintain improved walking capacity and other functional variables achieved through a supervised exercise training program. The present design was a 48-week self-controlled study. The first 12-week period was a control stage in which no prescribed exercise program was provided, the second 12-week period was a supervised treadmill-walking training program and the following 24-week period was a home-based exercise program. Twenty-two subjects with intermittent claudication were recruited initially; 15 of them (14 men and one woman) completed the whole program. Walking capacity, peak oxygen uptake, walking economy and ankle-brachial index were measured at baseline and at 12, 24 and 48 weeks. There was no significant change in the measured variables after the control stage. The 12-week supervised treadmill-walking training program significantly increased pain-free walking time, maximal walking time and peak oxygen uptake. Walking economy was also significantly improved. These improvements were successfully maintained after 24 weeks of home-based training. The results indicated that 12 weeks of supervised treadmill-walking training followed by a home-based training program is an effective model of exercise rehabilitation for patients with intermittent claudication. PMID:22477417

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

    Science.gov (United States)

    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),…

  1. A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training

    Directory of Open Access Journals (Sweden)

    Pengfei Jia

    2016-03-01

    Full Text Available When an electronic nose (E-nose is used to distinguish different kinds of gases, the label information of the target gas could be lost due to some fault of the operators or some other reason, although this is not expected. Another fact is that the cost of getting the labeled samples is usually higher than for unlabeled ones. In most cases, the classification accuracy of an E-nose trained using labeled samples is higher than that of the E-nose trained by unlabeled ones, so gases without label information should not be used to train an E-nose, however, this wastes resources and can even delay the progress of research. In this work a novel multi-class semi-supervised learning technique called M-training is proposed to train E-noses with both labeled and unlabeled samples. We employ M-training to train the E-nose which is used to distinguish three indoor pollutant gases (benzene, toluene and formaldehyde. Data processing results prove that the classification accuracy of E-nose trained by semi-supervised techniques (tri-training and M-training is higher than that of an E-nose trained only with labeled samples, and the performance of M-training is better than that of tri-training because more base classifiers can be employed by M-training.

  2. Developing a Peer Mentorship Program to Increase Competence in Clinical Supervision in Clinical Psychology Doctoral Training Programs.

    Science.gov (United States)

    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.

  3. Training needs of recreation staff at recreation centres: Supervising ...

    African Journals Online (AJOL)

    A study in 2008 revealed that 44% of municipal sport and recreation facilities in South Africa were reported to be poorly maintained because of the lack of necessary skills and poorly trained staff. It seems that training could be a major contributor to solving this problem. The aim of this qualitative research was to determine ...

  4. The role of supervision in the training of behavior therapists: Case study

    Directory of Open Access Journals (Sweden)

    Raquel Martins Sartori

    2014-08-01

    Full Text Available The therapeutic process therapist requires skills that go beyond the theoretical and technical knowledge, the therapeutic relationship is a prerequisite for the success of behavioral psychotherapy variable. Supervision of clinical care is a fundamental skill development of the future therapist educational resource as well as to increase the supply conditions of a more appropriate psychotherapeutic customer service. The article reports on supervisory experience in the first client of a therapist in training showed behavioral patterns of aggression. The default client produced in therapist behaviors and feelings that hindered progress and therapeutic success. Supervision thus occupied a role in analyzing and modeling the behavior therapist as a strategy to increase the chances of success of the case. As a result of the strategies adopted in supervision, there were changes in the pattern of interaction between therapist and client training with his progress in the case.

  5. Does training frequency and supervision affect compliance, performance and muscular health?

    DEFF Research Database (Denmark)

    Dalager, Tina; Bredahl, Thomas G V; Pedersen, Mogens Theisen

    2015-01-01

    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...... 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 3WS and 3MS. 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...

  6. Novel maximum-margin training algorithms for supervised neural networks.

    Science.gov (United States)

    Ludwig, Oswaldo; Nunes, Urbano

    2010-06-01

    This paper proposes three novel training methods, two of them based on the backpropagation approach and a third one based on information theory for multilayer perceptron (MLP) binary classifiers. Both backpropagation methods are based on the maximal-margin (MM) principle. The first one, based on the gradient descent with adaptive learning rate algorithm (GDX) and named maximum-margin GDX (MMGDX), directly increases the margin of the MLP output-layer hyperplane. The proposed method jointly optimizes both MLP layers in a single process, backpropagating the gradient of an MM-based objective function, through the output and hidden layers, in order to create a hidden-layer space that enables a higher margin for the output-layer hyperplane, avoiding the testing of many arbitrary kernels, as occurs in case of support vector machine (SVM) training. The proposed MM-based objective function aims to stretch out the margin to its limit. An objective function based on Lp-norm is also proposed in order to take into account the idea of support vectors, however, overcoming the complexity involved in solving a constrained optimization problem, usually in SVM training. In fact, all the training methods proposed in this paper have time and space complexities O(N) while usual SVM training methods have time complexity O(N (3)) and space complexity O(N (2)) , where N is the training-data-set size. The second approach, named minimization of interclass interference (MICI), has an objective function inspired on the Fisher discriminant analysis. Such algorithm aims to create an MLP hidden output where the patterns have a desirable statistical distribution. In both training methods, the maximum area under ROC curve (AUC) is applied as stop criterion. The third approach offers a robust training framework able to take the best of each proposed training method. The main idea is to compose a neural model by using neurons extracted from three other neural networks, each one previously trained by

  7. The Relationship between Athletic Training Student Critical Thinking Skills and Clinical Instructor Supervision: A Pilot Study

    Science.gov (United States)

    Kabay, Michele R.

    2013-01-01

    The purpose of this study was to 1) assess the critical thinking skill level of the athletic training student at onset and end of the clinical education experience 2) to examine the influence of the students' critical thinking skills and the CIs' supervision responses to the changes in the students' critical thinking skills and 3) to compare the…

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

    Science.gov (United States)

    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…

  9. Supervised pelvic floor muscle training versus attention-control massage treatment in patients with faecal incontinence

    DEFF Research Database (Denmark)

    Ussing, Anja; Dahn, Inge; Due, Ulla

    2017-01-01

    Introduction 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...... in patients with faecal incontinence. Design Randomised, controlled, superiority trial with two parallel arms. Methods 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...

  10. Comparison of creatine supplementation before versus after supervised resistance training in healthy older adults.

    Science.gov (United States)

    Candow, Darren G; Zello, Gordon A; Ling, Binbing; Farthing, Jonathan P; Chilibeck, Philip D; McLeod, Katherine; Harris, Jonathan; Johnson, Shanthi

    2014-01-01

    This study was performed to compare the effects of creatine supplementation (CR) before vs. after supervised resistance training (RT) in healthy older adults. Participants were randomized to one of two groups: CR-Before (0.1g•kg(-1) creatine before + 0.1g•kg(-1) placebo [rice flour] after RT, n = 11) or CR-After (placebo before + creatine after RT, n = 11). Resistance training (RT) was performed 3 days/week, on nonconsecutive days, for 12 weeks. Prior to and following the study, measures were taken for body composition, maximum strength, muscle protein catabolism, and kidney function. Over the 12-week training period, both groups experienced a significant increase in whole-body lean tissue mass, limb muscle thickness, and upper and lower body strength and a decrease in muscle protein catabolism (p creatine is ingested before or after supervised resistance training in older adults.

  11. Gas pipeline supervision - Automatic traceability; Surveillance des canalisations de gaz - Tracabilite automatique

    Energy Technology Data Exchange (ETDEWEB)

    Dezobry, J.; Leon-Garcia, C.; Trembley, Y.

    2002-07-01

    Most of the damages occurring in a gas distribution network are caused by local human activities like for example, earthworks. To prevent such damages a general monitoring scheme is set up. The one introduced by the company Gaz de France currently consists of checking the whole network by fixedly scheduled patrols by car, aircraft, helicopter, as well as by walking, aiming at detecting unannounced construction works and supervising works in progress. The article reports on a new, computer-assisted monitoring scheme designed to improve the overall efficiency and reduce cost. All types of vehicles used for the supervision are equipped with a global-positioning-system (GPS) device for the monitoring of their trajectories. From the data analysis, which includes geographic information system (GIS) capabilities, the supervision frequency is available for each network section. Accordingly, the following patrols may be optimized and the best transportation selected, with priority given to the sections which have been neglected so far. This concept has been successfully tested on a network section of 300 km near Paris involving five monitoring cars. Gaz de France plans its extension to whole network (30,000 km).

  12. Reflections on the supervised relationship and interaction in nursing clinical training

    Directory of Open Access Journals (Sweden)

    Inês Alves da Rocha e Silva Rocha

    2013-05-01

    Full Text Available This reflection fits into the area of Clinical Supervision in Nursing focusing on relationships that the student develops during clinical training. It seems that in clinical training the student not only learns but also consolidates verbal, procedural and attitudinal contents. The relationship established with peers, teachers and tutors will contribute to their professional identity. It is underlined the importance of the contribution of clinical supervision for the development of a reflective thinking in students in Portugal, as highlighted here, which influences the changes in nursing practices, as well as ensuring the quality and safety of the care provided. The characteristics that the tutor must have to improve the development of the students are also explained as well as the possible solutions for the existing limitations of clinical training contexts.

  13. Modeling and monitoring of pipelines and networks advanced tools for automatic monitoring and supervision of pipelines

    CERN Document Server

    Torres, Lizeth

    2017-01-01

    This book focuses on the analysis and design of advanced techniques for on-line automatic computational monitoring of pipelines and pipe networks. It discusses how to improve the systems’ security considering mathematical models of the flow, historical flow rate and pressure data, with the main goal of reducing the number of sensors installed along a pipeline. The techniques presented in the book have been implemented in digital systems to enhance the abilities of the pipeline network’s operators in recognizing anomalies. A real leak scenario in a Mexican water pipeline is used to illustrate the benefits of these techniques in locating the position of a leak. Intended for an interdisciplinary audience, the book addresses researchers and professionals in the areas of mechanical, civil and control engineering. It covers topics on fluid mechanics, instrumentation, automatic control, signal processing, computing, construction and diagnostic technologies.

  14. Automatic learning rate adjustment for self-supervising autonomous robot control

    Science.gov (United States)

    Arras, Michael K.; Protzel, Peter W.; Palumbo, Daniel L.

    1992-01-01

    Described is an application in which an Artificial Neural Network (ANN) controls the positioning of a robot arm with five degrees of freedom by using visual feedback provided by two cameras. This application and the specific ANN model, local liner maps, are based on the work of Ritter, Martinetz, and Schulten. We extended their approach by generating a filtered, average positioning error from the continuous camera feedback and by coupling the learning rate to this error. When the network learns to position the arm, the positioning error decreases and so does the learning rate until the system stabilizes at a minimum error and learning rate. This abolishes the need for a predetermined cooling schedule. The automatic cooling procedure results in a closed loop control with no distinction between a learning phase and a production phase. If the positioning error suddenly starts to increase due to an internal failure such as a broken joint, or an environmental change such as a camera moving, the learning rate increases accordingly. Thus, learning is automatically activated and the network adapts to the new condition after which the error decreases again and learning is 'shut off'. The automatic cooling is therefore a prerequisite for the autonomy and the fault tolerance of the system.

  15. Automatic Supervision of Temperature, Humidity, and Luminance with an Assistant Personal Robot

    Directory of Open Access Journals (Sweden)

    Jordi Palacín

    2017-01-01

    Full Text Available Smart environments and Ambient Intelligence (AmI technologies are defining the future society where energy optimization and intelligent management are essential for a sustainable advance. Mobile robotics is also making an important contribution to this advance with the integration of sensors and intelligent processing algorithms. This paper presents the application of an Assistant Personal Robot (APR as an autonomous agent for temperature, humidity, and luminance supervision in human-frequented areas. The robot multiagent capabilities allow gathering sensor information while exploring or performing specific tasks and then verifying human comfortability levels. The proposed methodology creates information maps with the distribution of temperature, humidity, and luminance and interprets such information in terms of comfort and warns about corrective actuations if required.

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

    Science.gov (United States)

    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

  17. Semi-automatic supervised classification of minerals from x-ray mapping images

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg; Flesche, Harald; Larsen, Rasmus

    1998-01-01

    This paper addresses the problem of assessing the robustness with respect to change in parameters of an integrated training and classification routine for minerals commonly encountered in siliciclastic or carbonate rocks. Twelve chemical elements are mapped from thin sections by energy dispersive...... spectroscopy (EDS) in a scanning electron microscope (SEM). Extensions to traditional multivariate statistical methods are applied to perform the classification. Training sets are grown from one or a few seed points by a method that ensures spatial and spectral closeness of observations. Spectral closeness...... training, a standard quadratic classifier is applied. The performance for each parameter setting is measured by the overall misclassification rate on an independently generated validation set. The classification method is presently used as a routine petrographical analysis method at Norsk Hydro Research...

  18. Safety in High School Supervised Agricultural Experiences: Teachers' Training and Students' Injury Awareness.

    Science.gov (United States)

    Pate, M L; Lawver, R G; Sorensen, T J

    2016-01-01

    This research study sought to gather evidence of school-based agriculture teachers' hazard perceptions, safety practices, training experiences, and awareness of student injuries related to supervised agricultural experience (SAE) programs. Teachers agreed that students should follow safety guidelines developed by the National Children's Center for Rural and Agricultural Safety and Health during SAE work. Approximately 66% (f = 153) of teachers reported having general training in first aid, CPR, and AED. Twenty participants (8.6%) indicated having no safety certifications or training. Abrasions, lacerations, bites/stings, and burns accounted for a majority of the student SAE-related injuries that were reported. There were 82 participants (35.5%) who stated that no injuries had been reported or they were not aware of any injuries that occurred. The majority of teachers (66%) had received some form offirst aid or first response training, but fewer teachers had received safety training for ATVs (f = 25, 10.8%), tractors (f = 48, 20.7%), and livestock (f = 39, 16.8%). Results indicated a disparity between required safe work habits and the types of hazardous tasks students should be allowed to complete alone while participating in SAE activities. It appears most responding teachers in this study agreed to allow students to operate equipment and machinery alone. Recommendations for teachers include attending professional development training specific to SAE safety and keeping records of any risk assessments conducted during SAE supervision. Further development of best practices for SAE supervision and safety are needed to assist agricultural education professionals in protecting and shaping our future leaders in agriculture.

  19. Automatic Supervision And Fault Detection In PV System By Wireless Sensors With Interfacing By Labview Program

    Directory of Open Access Journals (Sweden)

    Yousra M Abbas

    2015-08-01

    Full Text Available In this work a wireless monitoring system are designed for automatic detection localization fault in photovoltaic system. In order to avoid the use of modeling and simulation of the PV system we detected the fault by monitoring the output of each individual photovoltaic panel connected in the system by Arduino and transmit this data wirelessly to laptop then interface it by LabVIEW program which made comparison between this data and the measured data taking from reference module at the same condition. The proposed method is very simple but effective detecting and diagnosing the main faults of a PV system and was experimentally validated and has demonstrated its effectiveness in the detection and diagnosing of main faults present in the DC side of PV system.

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

    Science.gov (United States)

    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

  1. AUTOMATIC RETINA EXUDATES SEGMENTATION WITHOUT A MANUALLY LABELLED TRAINING SET

    Energy Technology Data Exchange (ETDEWEB)

    Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

    2011-01-01

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy which can be assessed by detecting exudates (a type of bright lesion) in fundus images. In this work, two new methods for the detection of exudates are presented which do not use a supervised learning step and therefore do not require ground-truthed lesion training sets which are time consuming to create, difficult to obtain, and prone to human error. We introduce a new dataset of fundus images from various ethnic groups and levels of DME which we have made publicly available. We evaluate our algorithm with this dataset and compare our results with two recent exudate segmentation algorithms. In all of our tests, our algorithms perform better or comparable with an order of magnitude reduction in computational time.

  2. Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training

    DEFF Research Database (Denmark)

    Bender, Thomas; Kjaer, Troels W.; Thomsen, Carsten E.

    2013-01-01

    This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Naïve-Bayes classifier (NBC). The system uses nine characters...... presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy...

  3. The effects of supervised Slack line Training on postural balance in judoists

    DEFF Research Database (Denmark)

    Santos, L.; Fernandez-Rio, J.; Fernandez-Garcia, B.

    2014-01-01

    Aim. This study investigates the effects of Slackline on postural control and jumping performance in judoists. Methods. Fifteen judoists were randomly distributed into an experimental group (EG: N.=8, 16.0 +/- 1.73 years) and a control group (CG: N.=7, 15.43 +/- 2.23 years). While both groups...... followed the same judo training program during the 4 weeks of the study, the EG completed an additional supervised Slackline training (2 sessions per week of 60 min each one, for 4 weeks). Several key postural control parameters were assessed with a footscan baropodometric platform (sway length, ellipse...

  4. SUPERVISED PHYSICAL TRAINING IMPROVES FINE MOTOR SKILLS OF 5-YEAR-OLD CHILDREN

    Directory of Open Access Journals (Sweden)

    Yugang Qi

    Full Text Available ABSTRACT Introduction: Fine motor skills are important for children not only in the activities of daily living, but also for learning activities. In the present study, the effects of supervised physical training were investigated in normal children. Objective: To evaluate the effects of supervised training by combining full-body exercise and the eye-hand coordination activities to improve fine motor skills in a group of five-year-old normal children. Methods: Fifty-two children were selected and randomized in exercise and control groups. The exercise group participated in three 30-minute training sessions per week for 24 weeks. Results: The fine motor skills and hand grip strength of the exercise group were significantly increased, while there was no significant change in the control group during the experimental period. Conclusion: The results indicate that the current exercise training program is effective and can be applied to 5-year-old normal children to improve their fine motor skills. In addition, this program has simple physical activities that are appropriate to the physical and mental level of child development. The 30-minute training session would be easily implemented in the kindergarten program. Level of Evidence I; High quality randomized trial with statistically significant difference or no statistically significant difference but narrow confidence intervals.

  5. Model-Based Reasoning in Humans Becomes Automatic with Training.

    Directory of Open Access Journals (Sweden)

    Marcos Economides

    2015-09-01

    Full Text Available Model-based and model-free reinforcement learning (RL have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a learnt model of the world. This has led model-based RL to be identified with slow, deliberative processing, and model-free RL with fast, automatic processing. In support of this distinction, it has recently been shown that model-based reasoning is impaired by placing subjects under cognitive load--a hallmark of non-automaticity. Here, using the same task, we show that cognitive load does not impair model-based reasoning if subjects receive prior training on the task. This finding is replicated across two studies and a variety of analysis methods. Thus, task familiarity permits use of model-based reasoning in parallel with other cognitive demands. The ability to deploy model-based reasoning in an automatic, parallelizable fashion has widespread theoretical implications, particularly for the learning and execution of complex behaviors. It also suggests a range of important failure modes in psychiatric disorders.

  6. Model-Based Reasoning in Humans Becomes Automatic with Training

    Science.gov (United States)

    Lübbert, Annika; Guitart-Masip, Marc; Dolan, Raymond J.

    2015-01-01

    Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a learnt model of the world. This has led model-based RL to be identified with slow, deliberative processing, and model-free RL with fast, automatic processing. In support of this distinction, it has recently been shown that model-based reasoning is impaired by placing subjects under cognitive load—a hallmark of non-automaticity. Here, using the same task, we show that cognitive load does not impair model-based reasoning if subjects receive prior training on the task. This finding is replicated across two studies and a variety of analysis methods. Thus, task familiarity permits use of model-based reasoning in parallel with other cognitive demands. The ability to deploy model-based reasoning in an automatic, parallelizable fashion has widespread theoretical implications, particularly for the learning and execution of complex behaviors. It also suggests a range of important failure modes in psychiatric disorders. PMID:26379239

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

    Science.gov (United States)

    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.

  8. Artificial neural network classification using a minimal training set - Comparison to conventional supervised classification

    Science.gov (United States)

    Hepner, George F.; Logan, Thomas; Ritter, Niles; Bryant, Nevin

    1990-01-01

    Recent research has shown an artificial neural network (ANN) to be capable of pattern recognition and the classification of image data. This paper examines the potential for the application of neural network computing to satellite image processing. A second objective is to provide a preliminary comparison and ANN classification. An artificial neural network can be trained to do land-cover classification of satellite imagery using selected sites representative of each class in a manner similar to conventional supervised classification. One of the major problems associated with recognition and classifications of pattern from remotely sensed data is the time and cost of developing a set of training sites. This reseach compares the use of an ANN back propagation classification procedure with a conventional supervised maximum likelihood classification procedure using a minimal training set. When using a minimal training set, the neural network is able to provide a land-cover classification superior to the classification derived from the conventional classification procedure. This research is the foundation for developing application parameters for further prototyping of software and hardware implementations for artificial neural networks in satellite image and geographic information processing.

  9. Supervised progressive cross-continuum strength training compared with usual care in older medical patients

    DEFF Research Database (Denmark)

    Pedersen, Mette Merete; Petersen, Janne; Beyer, Nina

    2016-01-01

    Background: Hospitalization in older adults is characterized by physical inactivity and a risk of losing function and independence. Systematic strength training can improve muscle strength and functional performance in older adults. Few studies have examined the effect of a program initiated during...... hospitalization and continued after discharge. We conducted a feasibility study prior to this trial and found a progression model for loaded sit-to-stands feasible in older medical patients. This study aims to determine whether a simple supervised strength training program for the lower extremities (based...... on the model), combined with post-training protein supplementation initiated during hospitalization and continued at home for 4 weeks, is superior to usual care on change in mobility 4 weeks after discharge in older medical patients. Methods: Eighty older medical patients (65 years or older) acutely admitted...

  10. Focused extracorporeal shock wave therapy combined with supervised eccentric training for supraspinatus calcific tendinopathy.

    Science.gov (United States)

    Carlisi, Ettore; Lisi, Claudio; Dall'angelo, Anna; Monteleone, Serena; Nola, Vincenza; Tinelli, Carmine; Dalla Toffola, Elena

    2018-02-01

    Extracorporeal shockwave therapy (ESWT) is effective in reducing shoulder pain and improving function in calcific supraspinatus tendinopathy. Eccentric exercise has been introduced as an effective treatment choice for Achilles tendinopathy, but poor evidence exists about its role in the treatment of rotator cuff tendinopathy. To investigate if adding a supervised eccentric training of the shoulder abductor muscles could improve the outcome of ESWT. Pre-post intervention pilot study with matched control-group. Outpatient, University Hospital. Twenty-two subjects affected by painful supraspinatus calcific tendinopathy. The study-group was assigned to receive focal ESWT (f-ESWT) plus a supervised eccentric training (SET) of the shoulder abductor muscles. The matched control-group received f-ESWT only. The post-treatment assessment at follow-up (T1) was performed nine weeks after the enrollment (T0). We assessed shoulder pain and function by the means of a numeric rating scale (p-NRS) and a DASH scale. As secondary outcome, we measured the isometric strength of the abductor muscles of the affected shoulder using a handheld dynamometer. At T1, we recorded a significant decrease in pain (Pshoulder abductor muscles could improve the outcome (pain and function) of shock wave therapy. Our study confirmed that f-ESWT is effective in reducing shoulder pain and improving function in calcific supraspinatus tendinopathy. Adding a supervised eccentric training, focused on the abductor muscles, was useful to improve maximum isometric abduction strength, but appeared to give no advantage in the short-term outcome of shock wave therapy.

  11. Extended apprenticeship learning in doctoral training and supervision - moving beyond 'cookbook recipes'

    DEFF Research Database (Denmark)

    Tanggaard, Lene; Wegener, Charlotte

    An apprenticeship perspective on learning in academia sheds light on the potential for mutual learning and production, and also reveals the diverse range of learning resources beyond the formal novice-–expert relationship. Although apprenticeship is a well-known concept in educational research......, in this case apprenticeship offers an innovative perspective on future practice and research in academia allowing more students access to high high-quality research training and giving supervisors a chance to combine their own research with their supervision obligations....

  12. Simulator training to automaticity leads to improved skill transfer compared with traditional proficiency-based training: a randomized controlled trial.

    Science.gov (United States)

    Stefanidis, Dimitrios; Scerbo, Mark W; Montero, Paul N; Acker, Christina E; Smith, Warren D

    2012-01-01

    We hypothesized that novices will perform better in the operating room after simulator training to automaticity compared with traditional proficiency based training (current standard training paradigm). Simulator-acquired skill translates to the operating room, but the skill transfer is incomplete. Secondary task metrics reflect the ability of trainees to multitask (automaticity) and may improve performance assessment on simulators and skill transfer by indicating when learning is complete. Novices (N = 30) were enrolled in an IRB-approved, blinded, randomized, controlled trial. Participants were randomized into an intervention (n = 20) and a control (n = 10) group. The intervention group practiced on the FLS suturing task until they achieved expert levels of time and errors (proficiency), were tested on a live porcine fundoplication model, continued simulator training until they achieved expert levels on a visual spatial secondary task (automaticity) and were retested on the operating room (OR) model. The control group participated only during testing sessions. Performance scores were compared within and between groups during testing sessions. : Intervention group participants achieved proficiency after 54 ± 14 and automaticity after additional 109 ± 57 repetitions. Participants achieved better scores in the OR after automaticity training [345 (range, 0-537)] compared with after proficiency-based training [220 (range, 0-452; P training to automaticity takes more time but is superior to proficiency-based training, as it leads to improved skill acquisition and transfer. Secondary task metrics that reflect trainee automaticity should be implemented during simulator training to improve learning and skill transfer.

  13. Supervised Physical Training Improves Weight Loss After Roux-en-Y Gastric Bypass Surgery

    DEFF Research Database (Denmark)

    Mundbjerg, Lene Hymøller; Stolberg, Charlotte Røn; Cecere, Stefano

    2018-01-01

    the effects of 6 months of supervised physical training following Roux-en-Y gastric bypass surgery (RYGB) on body weight and cardiovascular risk markers. Methods: Sixty participants eligible for RYGB were included. Six months post surgery, the participants were randomly assigned to either twice......, and an abdominal computed tomography scan. Results: RYGB significantly reduced body weight and improved cardiovascular risk markers (all Ptraining intervention resulted in a 4.2-kg (CI: -0.2 to -8.3 kg) lower body weight in INT compared with CON at the study end (P=0.042). The high......-density lipoprotein concentration was significantly higher in INT than in CON at the termination of the intervention, but this was not maintained at the 24-months examination. Conclusions: Physical training following RYGB improves weight loss and cardiovascular health....

  14. Teacher training: challenges and possibilities of teaching of reproduction and sexuality in supervised curricular stage

    Directory of Open Access Journals (Sweden)

    Mayara Lustosa de Oliveira

    2012-02-01

    Full Text Available This work has its origins in a survey conducted during the supervised curricular stage of Biological Sciences course at Federal University of Goiás. The article describes critically and analytically every step of the curricular stage, especially the classes with the themes: reproduction and sexuality. The classes were taught to elementary students in State College St. Bernadete in Goiânia-GO. To facilitate the process of teaching and learning the trainees divided the themes into subtopics, and several teaching resources were developed for each subtopic. The research was descriptive and exploratory, using interviews with school students, teachers, supervisors and college students to collect data that allowed assessing the success of the teaching methodologies applied by the teachers in training. The field diaries of the trainees were also used to compose the analysis. Through the statements of the participants, it is considered that the methods achieved their goal in clarifying the issues. The resources used not only brought understanding, but encouraged the participation of the students. The article has been organized according to the steps of the curricular stage and it exposes all the impressions of the supervising teachers, school students and undergraduates during the internship, highlighting, comments, concerns, planning and execution process of the activities.

  15. AUTOMATIC TRAINING SITE SELECTION FOR AGRICULTURAL CROP CLASSIFICATION: A CASE STUDY ON KARACABEY PLAIN, TURKEY

    Directory of Open Access Journals (Sweden)

    A. Ozdarici Ok

    2012-09-01

    Full Text Available This study implements a traditional supervised classification method to an optical image composed of agricultural crops by means of a unique way, selecting the training samples automatically. Panchromatic (1m and multispectral (4m Kompsat-2 images (July 2008 of Karacabey Plain (~100km2, located in Marmara region, are used to evaluate the proposed approach. Due to the characteristic of rich, loamy soils combined with reasonable weather conditions, the Karacabey Plain is one of the most valuable agricultural regions of Turkey. Analyses start with applying an image fusion algorithm on the panchromatic and multispectral image. As a result of this process, 1m spatial resolution colour image is produced. In the next step, the four-band fused (1m image and multispectral (4m image are orthorectified. Next, the fused image (1m is segmented using a popular segmentation method, Mean- Shift. The Mean-Shift is originally a method based on kernel density estimation and it shifts each pixel to the mode of clusters. In the segmentation procedure, three parameters must be defined: (i spatial domain (hs, (ii range domain (hr, and (iii minimum region (MR. In this study, in total, 176 parameter combinations (hs, hr, and MR are tested on a small part of the area (~10km2 to find an optimum segmentation result, and a final parameter combination (hs=18, hr=20, and MR=1000 is determined after evaluating multiple goodness measures. The final segmentation output is then utilized to the classification framework. The classification operation is applied on the four-band multispectral image (4m to minimize the mixed pixel effect. Before the image classification, each segment is overlaid with the bands of the image fused, and several descriptive statistics of each segment are computed for each band. To select the potential homogeneous regions that are eligible for the selection of training samples, a user-defined threshold is applied. After finding those potential regions, the

  16. Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods.

    Science.gov (United States)

    Carneiro, Gustavo; Peng, Tingying; Bayer, Christine; Navab, Nassir

    2017-07-01

    In recently published clinical trial results, hypoxia-modified therapies have shown to provide more positive outcomes to cancer patients, compared with standard cancer treatments. The development and validation of these hypoxia-modified therapies depend on an effective way of measuring tumor hypoxia, but a standardized measurement is currently unavailable in clinical practice. Different types of manual measurements have been proposed in clinical research, but in this paper we focus on a recently published approach that quantifies the number and proportion of hypoxic regions using high resolution (immuno-)fluorescence (IF) and hematoxylin and eosin (HE) stained images of a histological specimen of a tumor. We introduce new machine learning-based methodologies to automate this measurement, where the main challenge is the fact that the clinical annotations available for training the proposed methodologies consist of the total number of normoxic, chronically hypoxic, and acutely hypoxic regions without any indication of their location in the image. Therefore, this represents a weakly-supervised structured output classification problem, where training is based on a high-order loss function formed by the norm of the difference between the manual and estimated annotations mentioned above. We propose four methodologies to solve this problem: 1) a naive method that uses a majority classifier applied on the nodes of a fixed grid placed over the input images; 2) a baseline method based on a structured output learning formulation that relies on a fixed grid placed over the input images; 3) an extension to this baseline based on a latent structured output learning formulation that uses a graph that is flexible in terms of the amount and positions of nodes; and 4) a pixel-wise labeling based on a fully-convolutional neural network. Using a data set of 89 weakly annotated pairs of IF and HE images from eight tumors, we show that the quantitative results of methods (3) and (4

  17. Reliability and effectiveness of clickthrough data for automatic image annotation

    NARCIS (Netherlands)

    Tsikrika, T.; Diou, C.; De Vries, A.P.; Delopoulos, A.

    2010-01-01

    Automatic image annotation using supervised learning is performed by concept classifiers trained on labelled example images. This work proposes the use of clickthrough data collected from search logs as a source for the automatic generation of concept training data, thus avoiding the expensive

  18. Reliability and effectiveness of clickthrough data for automatic image annotation

    NARCIS (Netherlands)

    T. Tsikrika (Theodora); C. Diou; A.P. de Vries (Arjen); A. Delopoulos

    2010-01-01

    htmlabstractAutomatic image annotation using supervised learning is performed by concept classifiers trained on labelled example images. This work proposes the use of clickthrough data collected from search logs as a source for the automatic generation of concept training data, thus avoiding the

  19. Formative Evaluation Research of Art-Based Supervision in Art Therapy Training

    Science.gov (United States)

    Fish, Barbara J.

    2008-01-01

    Image making is a common component of art therapy supervision but its use has not yet been formally evaluated. This article describes formative evaluation research used to investigate student responses to art-based supervision in which response art was used as a primary method to contain, explore, or express clinical work. Art-based supervision,…

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

    Science.gov (United States)

    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…

  1. Introduction to the Special Section on Teaching, Training, and Supervision in Personality and Psychological Assessment.

    Science.gov (United States)

    Smith, Justin D

    2017-01-01

    This special section contains empirical and conceptual articles pertaining to the broad topic of teaching, training, and supervision of assessment. Despite some evidence of a decline in recent decades, assessment remains a defining practice of professional psychologists in many subfields, including clinical, counseling, school, and neuropsychology, that consumes a consequential proportion of their time. To restore assessment to its rightful place of prominence, a clear agenda needs to be developed for advancing teaching and training methods, increasing instruction to state-of-the-art methods, and defining aims that could be elucidated through empirical inquiry. The 7 articles in this special section provide a developmental perspective of these issues that collectively provide practical tools for instructors and begin to set the stage for a research agenda in this somewhat neglected area of study that is vital to the identity of professional psychology. Additionally, 2 comments are provided by distinguished figures in the field concerning the implications of the articles in the special section to health services psychology and the competencies-based movement in applied psychology.

  2. Automatic training sample selection for a multi-evidence based crop classification approach

    DEFF Research Database (Denmark)

    Chellasamy, Menaka; Ferre, Ty; Greve, Mogens Humlekrog

    An approach to use the available agricultural parcel information to automatically select training samples for crop classification is investigated. Previous research addressed the multi-evidence crop classification approach using an ensemble classifier. This first produced confidence measures using...... three Multi-Layer Perceptron (MLP) neural networks trained separately with spectral, texture and vegetation indices; classification labels were then assigned based on Endorsement Theory. The present study proposes an approach to feed this ensemble classifier with automatically selected training samples...... approach is named as ECRA (Ensemble based Cluster Refinement Approach). ECRA first automatically removes mislabeled samples and then selects the refined training samples in an iterative training-reclassification scheme. Mislabel removal is based on the expectation that mislabels in each class will be far...

  3. Remote supervision of medical training via videoconference in northern Australia: a qualitative study of the perspectives of supervisors and trainees

    Science.gov (United States)

    Ray, Robin; Sabesan, Sabe

    2015-01-01

    Objectives Telemedicine has revolutionised the ability to provide care to patients, relieve professional isolation and provide guidance and supervision to junior medical officers in rural areas. This study evaluated the Townsville teleoncology supervision model for the training of junior medical officers in rural areas of North Queensland, Australia. Specifically, the perspectives of junior and senior medical officers were explored to identify recommendations for future implementation. Design A qualitative approach incorporating observation and semistructured interviews was used to collect data. Interviews were uploaded into NVivo 10 data management software. Template analysis enabled themes to be tested and developed through consensus between researchers. Setting One tertiary level and four secondary level healthcare centres in rural and regional Queensland, Australia. Participants 10 junior medical officers (Interns, Registrars) and 10 senior medical officers (Senior Medical Officers, Consultants) who participated in the Townsville teleoncology model of remote supervision via videoconference (TTMRS) were included in the study. Primary and Secondary outcome measures Perspectives on the telemedicine experience, technology, engagement, professional support, satisfaction and limitations were examined. Perspectives on topics raised by participants were also examined as the interviews progressed. Results Four major themes with several subthemes emerged from the data: learning environment, beginning the learning relationship, stimulus for learning and practicalities of remote supervision via videoconference. While some themes were consistent with the current literature, new themes like increased professional edge, recognising non-verbal cues and physical examination challenges were identified. Conclusions Remote supervision via videoconference provides readily available guidance to trainees supporting their delivery of appropriate care to patients. However, resources

  4. Optimization of Automatic Train Control for Energy Management and Service Reliability

    Energy Technology Data Exchange (ETDEWEB)

    Susanna P. Gordon; Richard M. Wheeler; Timothy J. Sa; Donald A. Sheaffer

    1999-11-01

    A new generation of automatic train control systems is currently under development in the commuter-rail transit industry. These systems will utilize radio communication between wayside control computers and trains in order to provide high precision train control beyond the capability of today's automatic systems. The Bay Area Rapid Transit (BART) system is developing such a modern control system in collaboration with Harmon Industries. This system, called the Advanced Automatic Train Control (AATC) system, will allow for precision train locating and control, and will facilitate coordination of the trajectories of multiple trains. This system will be capable of running trains more closely together and decreasing the time a train requires to traverse the system, while simultaneously operating with a more modest traction power infrastructure, and providing a smoother, more comfortable ride to commuters. The authors have collaborated with BART to develop a simulator of the AATC system and the traction power system, and they have utilized this simulator as a testbed for the development of advanced train control techniques. Several train control algorithms, including one employing a neural network for train voltage prediction, have been developed and tested in the simulator. Smoother train trajectories, reduced power infrastructure requirements, and reduced energy consumption have been demonstrated. Improved service reliability is also expected to result.

  5. Training shortest-path tractography: Automatic learning of spatial priors

    DEFF Research Database (Denmark)

    Kasenburg, Niklas; Liptrot, Matthew George; Reislev, Nina Linde

    2016-01-01

    knowledge. Here we demonstrate how such prior knowledge, or indeed any prior spatial information, can be automatically incorporated into a shortest-path tractography approach to produce more robust results. We describe how such a prior can be automatically generated (learned) from a population, and we......Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the studied tract, and this demands expert prior...... demonstrate that our framework also retains support for conventional interactive constraints such as waypoint regions. We apply our approach to the open access, high quality Human Connectome Project data, as well as a dataset acquired on a typical clinical scanner. Our results show that the use of a learned...

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

    Science.gov (United States)

    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…

  7. Training shortest-path tractography: Automatic learning of spatial priors.

    Science.gov (United States)

    Kasenburg, Niklas; Liptrot, Matthew; Reislev, Nina Linde; Ørting, Silas N; Nielsen, Mads; Garde, Ellen; Feragen, Aasa

    2016-04-15

    Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the studied tract, and this demands expert prior knowledge. Here we demonstrate how such prior knowledge, or indeed any prior spatial information, can be automatically incorporated into a shortest-path tractography approach to produce more robust results. We describe how such a prior can be automatically generated (learned) from a population, and we demonstrate that our framework also retains support for conventional interactive constraints such as waypoint regions. We apply our approach to the open access, high quality Human Connectome Project data, as well as a dataset acquired on a typical clinical scanner. Our results show that the use of a learned prior substantially increases the overlap of tractography output with a reference atlas on both populations, and this is confirmed by visual inspection. Furthermore, we demonstrate how a prior learned on the high quality dataset significantly increases the overlap with the reference for the more typical yet lower quality data acquired on a clinical scanner. We hope that such automatic incorporation of prior knowledge and the obviation of expert interactive tract delineation on every subject, will improve the feasibility of large clinical tractography studies. Copyright © 2016 Elsevier Inc. All rights reserved.

  8. Automatic training sample selection for a multi-evidence based crop classification approach

    DEFF Research Database (Denmark)

    Chellasamy, Menaka; Ferre, Ty; Greve, Mogens Humlekrog

    three Multi-Layer Perceptron (MLP) neural networks trained separately with spectral, texture and vegetation indices; classification labels were then assigned based on Endorsement Theory. The present study proposes an approach to feed this ensemble classifier with automatically selected training samples...

  9. Examination of Post-Training Supervision of Peer Counselors in a Motivational Enhancement Intervention to Reduce Drinking in a Sample of Heavy Drinking College Students

    Science.gov (United States)

    Mastroleo, Nadine R.; Turrisi, Rob; Carney, JoLynn V.; Ray, Anne E.; Larimer, Mary E.

    2010-01-01

    Importance of peer counselor post-training supervision on Motivational Interviewing microskills and post-intervention drinking outcomes were evaluated in a sample of heavy drinking undergraduate students completing BASICS (Dimeff et al., 1999). Two peer counselor groups were trained using identical protocols. Post-training, one group was randomized to receive supervision, while the other received no supervision. Groups were subsequently compared on MI microskills. College students (N=122) were randomly assigned to either assessment-only control, supervision, or no supervision groups and completed a BASICS intervention. Post-intervention drinking outcomes were examined. Results suggested supervision aided peer counselors in reducing use of closed-ended questions. Both treatment groups reduced total drinks per week and heavy drinking behaviors compared to control. No differences on peak BAC or alcohol related consequences were observed. Differences in supervision did not influence drinking outcomes; however post-training supervision for peer counselors deficient in MI microskills may be needed to improve BASICS fidelity. PMID:20673621

  10. Gymnasium-based unsupervised exercise maintains benefits in oxygen uptake kinetics obtained following supervised training in type 2 diabetes.

    Science.gov (United States)

    Macananey, Oscar; O'Shea, Donal; Warmington, Stuart A; Green, Simon; Egaña, Mikel

    2012-08-01

    Supervised exercise (SE) in patients with type 2 diabetes improves oxygen uptake kinetics at the onset of exercise. Maintenance of these improvements, however, has not been examined when supervision is removed. We explored if potential improvements in oxygen uptake kinetics following a 12-week SE that combined aerobic and resistance training were maintained after a subsequent 12-week unsupervised exercise (UE). The involvement of cardiac output (CO) in these improvements was also tested. Nineteen volunteers with type 2 diabetes were recruited. Oxygen uptake kinetics and CO (inert gas rebreathing) responses to constant-load cycling at 50% ventilatory threshold (V(T)), 80% V(T), and mid-point between V(T) and peak workload (50% Δ) were examined at baseline (on 2 occasions) and following each 12-week training period. Participants decided to exercise at a local gymnasium during the UE. Thirteen subjects completed all the interventions. The time constant of phase 2 of oxygen uptake was significantly faster (p exercise maintained benefits in oxygen uptake kinetics obtained during a supervised exercise in subjects with diabetes, and these benefits were associated with a faster dynamic response of heart rate after training.

  11. Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike

    DEFF Research Database (Denmark)

    Jongejan, Bart; Dalianis, Hercules

    2009-01-01

    We propose a method to automatically train lemmatization rules that handle prefix, infix and suffix changes to generate the lemma from the full form of a word. We explain how the lemmatization rules are created and how the lemmatizer works. We trained this lemmatizer on Danish, Dutch, English...... using a suffix-only lemmatizer. Icelandic deteriorated with 1.9 percent. We also made an observation regarding the number of produced lemmatization rules as a function of the number of training pairs....

  12. Self-supervised, mobile-application based cognitive training of auditory attention: A behavioral and fMRI evaluation

    Directory of Open Access Journals (Sweden)

    Josef J. Bless

    2014-07-01

    Full Text Available Emerging evidence of the validity of collecting data in natural settings using smartphone applications has opened new possibilities for psychological assessment, treatment, and research. In this study we explored the feasibility and effectiveness of using a mobile application for self-supervised training of auditory attention. In addition, we investigated the neural underpinnings of the training procedure with functional magnetic resonance imaging (fMRI, as well as possible transfer effects to untrained cognitive interference tasks. Subjects in the training group performed the training task on an iPod touch two times a day (morning/evening for three weeks; subjects in the control group received no training, but were tested at the same time interval as the training group. Behavioral responses were measured before and after the training period in both groups, together with measures of task-related neural activations by fMRI. The results showed an expected performance increase after training that corresponded to activation decreases in brain regions associated with selective auditory processing (left posterior temporal gyrus and executive functions (right middle frontal gyrus, indicating more efficient processing in task-related neural networks after training. Our study suggests that cognitive training delivered via mobile applications is feasible and improves the ability to focus attention with corresponding effects on neural plasticity. Future research should focus on the clinical benefits of mobile cognitive training. Limitations of the study are discussed including reduced experimental control and lack of transfer effects.

  13. Weighted Multimodel Predictive Function Control for Automatic Train Operation System

    Directory of Open Access Journals (Sweden)

    Shuhuan Wen

    2014-01-01

    Full Text Available Train operation is a complex nonlinear process; it is difficult to establish accurate mathematical model. In this paper, we design ATO speed controller based on the input and output data of the train operation. The method combines multimodeling with predictive functional control according to complicated nonlinear characteristics of the train operation. Firstly, we cluster the data sample by using fuzzy-c means algorithm. Secondly, we identify parameter of cluster model by using recursive least square algorithm with forgetting factor and then establish the local set of models of the process of train operation. Then at each sample time, we can obtain the global predictive model about the system based on the weighted indicators by designing a kind of weighting algorithm with error compensation. Thus, the predictive functional controller is designed to control the speed of the train. Finally, the simulation results demonstrate the effectiveness of the proposed algorithm.

  14. Task shifting-perception of stake holders about adequacy of training and supervision for community mental health workers in Ghana.

    Science.gov (United States)

    Agyapong, Vincent I O; Osei, Akwasi; Mcloughlin, Declan M; McAuliffe, Eilish

    2016-06-01

    There is growing interest in the effectiveness of task shifting as a strategy for addressing expanding health care challenges in settings with shortages of qualified health personnel. The aim of this study is to examine the perception of stakeholders about the adequacy of training, supervision and support offered to community mental health workers (CMHWs) in Ghana. To address this aim we designed and administered self-completed, semi-structured questionnaires adapted to three specific stakeholder groups in Ghana. The questionnaires were administered to 11 psychiatrists, 29 health policy implementers/coordinators and 164 CMHWs, across Ghana, including 71 (43.3%) Community Psychiatric Nurses (CPNs), 19 (11.6%) Clinical Psychiatric Officers (CPOs) and 74 (45.1%) Community Mental Health Officers (CMHOs). Almost all the stakeholders believed CMHWs in Ghana receive adequate training for the role they are expected to play although many identify some gaps in the training of these mental health workers for the expanded roles they actually play. There were statistically significant differences between the different CMHW groups and the types of in-service training they said they had attended, the frequency with which their work was supervised, and the frequency with which they received feedback from supervisors. CPOs were more likely to attend all the different kinds of in-service training than CMHOs and CPNs, while CMHOs were more likely than CPOs and CPNs to report that their work is never supervised or that they rarely or never receive feedback from supervisors. There was disparity between what CMHWs said were their experiences and the perception of policy makers with respect to the types of in-service training that is available to CMHWs. There is a need to review the task shifting arrangements, perhaps with a view to expanding it to include more responsibilities, and therefore review the curriculum of the training institution for CMHWs and also to offer them regular in

  15. Therapeutic validity and effectiveness of supervised physical exercise training on exercise capacity in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis

    NARCIS (Netherlands)

    Vooijs, M.; Siemonsma, P.C.; Heus, I.; Sont, J.K.; Rövekamp, T.A.; Meeteren, N.L. van

    2016-01-01

    Objective: Our aim was to determine the effectiveness of supervised physical exercise training on exercise capacity in patients with chronic obstructive pulmonary disease taken into consideration indices such as therapeutic validity of interventions, methodological quality of studies, and exercise

  16. Association of cotherapy supervision with client outcomes, attrition, and trainee effectiveness in a psychotherapy training clinic.

    Science.gov (United States)

    Tanner, Melissa A; Gray, James J; Haaga, David A F

    2012-12-01

    Cotherapy supervision has been hypothesized to enhance client outcomes and trainee effectiveness, but there is little empirical evidence relevant to either claim. This study tested both hypotheses, using data from the supervision of psychology doctoral students conducting cognitive behavioral therapy in a university-based clinic. Groups of clients treated by supervisor-trainee duos and groups of clients treated by solo trainees with varying exposure to cotherapy supervision were compared on changes in symptoms as measured with the Outcome Questionnaire (OQ-45) and on dropout rates. Clients showed statistically significant reductions in symptoms from pretreatment to posttreatment. However, there were no significant group differences in the magnitude of change or in client retention. No support was obtained for the hypothesized benefits of cotherapy supervision. Clients treated by a cotherapy (supervisor and supervisee) team did not improve more than did clients treated by solo trainees. Furthermore, clients treated by (solo) trainees who had received cotherapy supervision did not improve more than did clients treated by trainees who had not received cotherapy supervision. © 2012 Wiley Periodicals, Inc.

  17. Transfer learning improves supervised image segmentation across imaging protocols

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Ikram, M. Arfan; Vernooij, Meike W.

    2015-01-01

    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 perfo....... 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%.......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...

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

    Directory of Open Access Journals (Sweden)

    Bibi Gram

    2014-01-01

    Full Text Available 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.

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

    Science.gov (United States)

    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

  20. Supervised Physical Training Improves Weight Loss After Roux-en-Y Gastric Bypass Surgery: A Randomized Controlled Trial.

    Science.gov (United States)

    Mundbjerg, Lene Hymøller; Stolberg, Charlotte Røn; Cecere, Stefano; Bladbjerg, Else-Marie; Funch-Jensen, Peter; Gram, Bibi; Juhl, Claus Bogh

    2018-03-22

    Bariatric surgery results in significant weight loss and reduces cardiovascular morbidity. However, a large variation in postsurgery weight loss is seen. Physical activity promotes weight loss in nonsurgically treated subjects with obesity. The aim of this study was to investigate the effects of 6 months of supervised physical training following Roux-en-Y gastric bypass surgery (RYGB) on body weight and cardiovascular risk markers. Sixty participants eligible for RYGB were included. Six months post surgery, the participants were randomly assigned to either twice-weekly supervised physical training sessions in a fitness center (INT) or a control group (CON) for 26 weeks. Before surgery and 6, 12, and 24 months after surgery, the participants underwent an examination program that included anthropometric measurements, blood pressure, heart rate, blood samples, and an abdominal computed tomography scan. RYGB significantly reduced body weight and improved cardiovascular risk markers (all P physical training intervention resulted in a 4.2-kg (CI: -0.2 to -8.3 kg) lower body weight in INT compared with CON at the study end (P = 0.042). The high-density lipoprotein concentration was significantly higher in INT than in CON at the termination of the intervention, but this was not maintained at the 24-months examination. Physical training following RYGB improves weight loss and cardiovascular health. © 2018 The Obesity Society.

  1. Short- and long-term effectiveness of a supervised training program in spirometry use for primary care professionals.

    Science.gov (United States)

    Represas-Represas, Cristina; Botana-Rial, Maribel; Leiro-Fernández, Virginia; González-Silva, Ana Isabel; García-Martínez, Ana; Fernández-Villar, Alberto

    2013-09-01

    Despite the importance of spirometry, its use and quality are limited in the Primary Care setting. There are few accredited training programs that have demonstrated improvement in the quality of spirometric studies. In this paper, we analyze the short- and long-term effectiveness of a supervised training program for performing and interpreting spirometries. Ours is an intervention study with before and after measurements. The target population included teams of physicians and nursing staff at 26 health-care centers in the area of Vigo (Galicia, Spain). The structured training program involved 2 theoretical and practical training sessions (that were 2months apart), an intermediate period of 30 supervised spirometries performed in the respective centers and weekly e-mail exercises. Effectiveness was evaluated using exercises at the beginning (test 1) and the end (test 2) of the 1st day, 2nd day (test 3) and one year later (test 4), as well as the analysis of spirometries done in month1, month2 and one year later. Participants also completed a survey about their satisfaction. 74 participants initiated the program; 72 completed the program, but only 45 participated in the one-year evaluation. Mean test scores were: 4.1±1.9 on test 1; 7.5±1.6 on test 2; 8.9±1.3 on test 3, and 8.8±1.4 on test 4. During month1, the percentage of correctly done/interpreted tests was 71%, in month two it was 91% and after one year it was 83% (Ptraining program based on theoretical and practical workshops and a supervised follow-up of spirometries significantly improved the ability of Primary Care professionals to carry out and interpret spirometric testing, although the quality of the tests diminished over time. Copyright © 2012 SEPAR. Published by Elsevier Espana. All rights reserved.

  2. Training IBM Watson using Automatically Generated Question-Answer Pairs

    OpenAIRE

    Lee, Jangho; Kim, Gyuwan; Yoo, Jaeyoon; Jung, Changwoo; Kim, Minseok; Yoon, Sungroh

    2016-01-01

    IBM Watson is a cognitive computing system capable of question answering in natural languages. It is believed that IBM Watson can understand large corpora and answer relevant questions more effectively than any other question-answering system currently available. To unleash the full power of Watson, however, we need to train its instance with a large number of well-prepared question-answer pairs. Obviously, manually generating such pairs in a large quantity is prohibitively time consuming and...

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

    Science.gov (United States)

    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)

  4. Academic Writing in Reflexive Professional Writing: Citations of Scientific Literature in Supervised Pre-Service Training Reports

    Directory of Open Access Journals (Sweden)

    Lívia Chaves de Melo

    2013-06-01

    Full Text Available In this paper we investigate citation practices of scientific literature in reflexive writing from the genre of supervised pre-service training report produced by pre-service teachers enrolled in the mandatory pre-service training subject of English Language Teaching, at an undergraduate language teaching course. The aim of this research is to analyze how these pre-services teacher represent themselves based on citation practices of scientific literature, and characterize some of the functions deployed by the citations in the reflexive writing emerging in the academic sphere. We use the dialogic approach to language from Bakhtinian studies as a theoretical base, as well as theoretical and methodological contributions regarding types of sequences and of discourse proposed by Adam and Bronckart. The results of this research show that the practice of citation of scientific literature is an invocation of authority as a form of erudition, amplification and ornamentation of the discourse produced. This practice can also guide pedagogical action developed by pre-service teachers in their supervised training.

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

    Science.gov (United States)

    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

  6. An Automatic Identification Procedure to Promote the use of FES-Cycling Training for Hemiparetic Patients

    Directory of Open Access Journals (Sweden)

    Emilia Ambrosini

    2014-01-01

    Full Text Available Cycling induced by Functional Electrical Stimulation (FES training currently requires a manual setting of different parameters, which is a time-consuming and scarcely repeatable procedure. We proposed an automatic procedure for setting session-specific parameters optimized for hemiparetic patients. This procedure consisted of the identification of the stimulation strategy as the angular ranges during which FES drove the motion, the comparison between the identified strategy and the physiological muscular activation strategy, and the setting of the pulse amplitude and duration of each stimulated muscle. Preliminary trials on 10 healthy volunteers helped define the procedure. Feasibility tests on 8 hemiparetic patients (5 stroke, 3 traumatic brain injury were performed. The procedure maximized the motor output within the tolerance constraint, identified a biomimetic strategy in 6 patients, and always lasted less than 5 minutes. Its reasonable duration and automatic nature make the procedure usable at the beginning of every training session, potentially enhancing the performance of FES-cycling training.

  7. Supervised Balance Training and Wii Fit-Based Exercises Lower Falls Risk in Older Adults With Type 2 Diabetes.

    Science.gov (United States)

    Morrison, Steven; Simmons, Rachel; Colberg, Sheri R; Parson, Henri K; Vinik, Aaron I

    2018-02-01

    This study examined the benefits of and differences between 12 weeks of thrice-weekly supervised balance training and an unsupervised at-home balance activity (using the Nintendo Wii Fit) for improving balance and reaction time and lowering falls risk in older individuals with type 2 diabetes mellitus (T2DM). Before-after trial. University research laboratory, home environment. Sixty-five older adults with type 2 diabetes were recruited for this study. Participants were randomly allocated to either supervised balance training (mean age 67.8 ± 5.2) or unsupervised training using the Nintendo Wii Fit balance board (mean age 66.1 ± 5.6). The training period for both groups lasted for 12 weeks. Individuals were required to complete three 40-minute sessions per week for a total of 36 sessions. The primary outcome measure was falls risk, which was as derived from the physiological profile assessment. In addition, measures of simple reaction time, lower limb proprioception, postural sway, knee flexion, and knee extension strength were also collected. Persons also self-reported any falls in the previous 6 months. Both training programs resulted in a significant lowering of falls risk (P balance ability. Interestingly, the reduced falls risk occurred without significant changes in leg strength, suggesting that interventions to reduce falls risk that target intrinsic risk factors related to balance control (over muscle strength) may have positive benefits for the older adult with T2DM at risk for falls. Copyright © 2017 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

  8. A Bayesian supervised dual-dimensionality reduction model for simultaneous decoding of LFP and spike train signals.

    Science.gov (United States)

    Holbrook, Andrew; Vandenberg-Rodes, Alexander; Fortin, Norbert; Shahbaba, Babak

    2017-01-01

    Neuroscientists are increasingly collecting multimodal data during experiments and observational studies. Different data modalities-such as EEG, fMRI, LFP, and spike trains-offer different views of the complex systems contributing to neural phenomena. Here, we focus on joint modeling of LFP and spike train data, and present a novel Bayesian method for neural decoding to infer behavioral and experimental conditions. This model performs supervised dual-dimensionality reduction: it learns low-dimensional representations of two different sources of information that not only explain variation in the input data itself, but also predict extra-neuronal outcomes. Despite being one probabilistic unit, the model consists of multiple modules: exponential PCA and wavelet PCA are used for dimensionality reduction in the spike train and LFP modules, respectively; these modules simultaneously interface with a Bayesian binary regression module. We demonstrate how this model may be used for prediction, parametric inference, and identification of influential predictors. In prediction, the hierarchical model outperforms other models trained on LFP alone, spike train alone, and combined LFP and spike train data. We compare two methods for modeling the loading matrix and find them to perform similarly. Finally, model parameters and their posterior distributions yield scientific insights.

  9. Evaluation of 6- and 12-month supervised exercise training on strength and endurance parameters in patients with peripheral arterial disease.

    Science.gov (United States)

    Pilz, Magdalena; Kandioler-Honetz, Elisabeth; Wenkstetten-Holub, Alfa; Doerrscheidt, Waltraud; Mueller, Rudolf; Kurz, Robert Wolfgang

    2014-06-01

    The classic symptom of peripheral arterial disease is the intermittent claudication (IC). Generally, endurance training is recommended to improve patients' walking performance. A potential benefit of the combination with strength training and the optimal duration of such an exercise program remain unclear. We evaluated the effects of a supervised exercise program combining endurance and strength training lasting 6 or 12 months in patients with IC. A total of 94 patients joined this study; 42 completed the 6-month training program (group A), whereas 52 patients completed the 12-month protocol (group B). Both groups exhibited a significant increase in all parameters evaluated, but greater benefit was found in the 12-month training group. The absolute claudication distance increased similarly by 27.5 and 29.5 %, respectively, in both groups (not significant); however, group B exhibited a greater increase in walking speed (12.1 vs. 5.3 %, p program significantly increases walking speed, absolute claudication distance, and muscle strength parameters. A greater benefit seems to result from a 12-month training program.

  10. Semi-supervised Learning for Phenotyping Tasks.

    Science.gov (United States)

    Dligach, Dmitriy; Miller, Timothy; Savova, Guergana K

    2015-01-01

    Supervised learning is the dominant approach to automatic electronic health records-based phenotyping, but it is expensive due to the cost of manual chart review. Semi-supervised learning takes advantage of both scarce labeled and plentiful unlabeled data. In this work, we study a family of semi-supervised learning algorithms based on Expectation Maximization (EM) in the context of several phenotyping tasks. We first experiment with the basic EM algorithm. When the modeling assumptions are violated, basic EM leads to inaccurate parameter estimation. Augmented EM attenuates this shortcoming by introducing a weighting factor that downweights the unlabeled data. Cross-validation does not always lead to the best setting of the weighting factor and other heuristic methods may be preferred. We show that accurate phenotyping models can be trained with only a few hundred labeled (and a large number of unlabeled) examples, potentially providing substantial savings in the amount of the required manual chart review.

  11. Supervised exercise training as an adjunctive therapy for venous leg ulcers: study protocol for a randomised controlled trial.

    Science.gov (United States)

    Tew, Garry A; Michaels, Jonathan; Crank, Helen; Middleton, Geoff; Gumber, Anil; Klonizakis, Markos

    2015-10-06

    Venous leg ulcers are common, chronic wounds that are painful and reduce quality of life. Compression therapy is known to assist in the healing of venous leg ulceration. Supervised exercise training that targets an improvement in calf muscle pump function might be a useful adjunctive therapy for enhancing ulcer healing and other aspects of physical and mental health. However, the evidence of exercise for individuals with venous ulcers is sparse. Here, we describe the protocol for a study that aims to assess the feasibility of undertaking a randomised controlled trial of a supervised exercise programme in people who are receiving compression for venous ulceration. This is a randomised, controlled, assessor-blinded, two-centre, feasibility trial with two parallel groups. Eighty adults who are receiving lower-limb compression for a venous leg ulcer will be randomly assigned to receive usual care (compression only) or usual care plus a 12-week supervised exercise programme. Participants in the exercise group will be invited to undertake three, 60-minute sessions of supervised exercise each week, and each session will involve a combination of treadmill walking, upright cycling and strength and flexibility exercises for the lower limbs. Participants will be assessed before randomisation and 3, 6 and 12 months after randomisation. Primary outcomes include rates of recruitment, retention and adherence. Secondary outcomes include time to ulcer healing, proportion of participants healed, percentage and absolute change in ulcer size, health-related quality of life (EQ-5D-5L and VEINES-QOL/Sym), lower-limb cutaneous microvascular function (laser Doppler flowmetry coupled with iontophoresis) and physical fitness (30-second sit-to-stand test, chair sit and reach test, 6-minute walk test and ankle range of motion). The costs associated with the exercise programme and health-care utilisation will be calculated. We will also complete interviews with a sub-sample of participants to

  12. Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.

    Science.gov (United States)

    Ju, Zhe; Gu, Hong

    2016-08-15

    As one important post-translational modification of prokaryotic proteins, pupylation plays a key role in regulating various biological processes. The accurate identification of pupylation sites is crucial for understanding the underlying mechanisms of pupylation. Although several computational methods have been developed for the identification of pupylation sites, the prediction accuracy of them is still unsatisfactory. Here, a novel bioinformatics tool named IMP-PUP is proposed to improve the prediction of pupylation sites. IMP-PUP is constructed on the composition of k-spaced amino acid pairs and trained with a modified semi-supervised self-training support vector machine (SVM) algorithm. The proposed algorithm iteratively trains a series of support vector machine classifiers on both annotated and non-annotated pupylated proteins. Computational results show that IMP-PUP achieves the area under receiver operating characteristic curves of 0.91, 0.73, and 0.75 on our training set, Tung's testing set, and our testing set, respectively, which are better than those of the different error costs SVM algorithm and the original self-training SVM algorithm. Independent tests also show that IMP-PUP significantly outperforms three other existing pupylation site predictors: GPS-PUP, iPUP, and pbPUP. Therefore, IMP-PUP can be a useful tool for accurate prediction of pupylation sites. A MATLAB software package for IMP-PUP is available at https://juzhe1120.github.io/. Copyright © 2016 Elsevier Inc. All rights reserved.

  13. Functional measures show improvements after a home exercise program following supervised balance training in older adults with elevated fall risk.

    Science.gov (United States)

    Tisher, Kristen; Mann, Kimberly; VanDyke, Sarah; Johansson, Charity; Vallabhajosula, Srikant

    2018-03-05

    Supervised balance training shows immediate benefit for older adults at fall risk. The long-term effectiveness of such training can be enhanced by implementing a safe and simple home exercise program (HEP). We investigated the effects of a12-week unsupervised HEP following supervised clinic-based balance training on functional mobility, balance, fall risk, and gait. Six older adults with an elevated fall risk obtained an HEP and comprised the HEP group (HEPG) and five older adults who were not given an HEP comprised the no HEP group (NoHEPG). The HEP consisted of three static balance exercises: feet-together, single-leg stance, and tandem. Each exercise was to be performed twice for 30-60 s, once per day, 3 days per week for 12 weeks. Participants were educated on proper form, safety, and progression of exercises. Pre- and post-HEP testing included Berg Balance Scale (BBS), Timed Up and Go, Short Physical Performance Battery (SPPB) assessments, Activities-Balance Confidence, Late-Life Functional Disability Instrument and instrumented assessments of balance and gait (Limits of Stability, modified Clinical Test of Sensory Interaction on Balance, Gait). A healthy control group (HCG; n = 11) was also tested. For most of the measures, the HEPG improved to the level of HCG. Though task-specific improvements like BBS and SPPB components were seen, the results did not carry over to more dynamic assessments. Results provide proof of concept that a simple HEP can be independently implemented and effective for sustaining and/or improving balance in older adults at elevated fall-risk after they have undergone a clinic-based balance intervention.

  14. Kollegial supervision

    DEFF Research Database (Denmark)

    Andersen, Ole Dibbern; Petersson, Erling

    Publikationen belyser, hvordan kollegial supervision i en kan organiseres i en uddannelsesinstitution......Publikationen belyser, hvordan kollegial supervision i en kan organiseres i en uddannelsesinstitution...

  15. Stereoscopic Augmented Reality System for Supervised Training on Minimal Invasive Surgery Robots

    DEFF Research Database (Denmark)

    Matu, Florin-Octavian; Thøgersen, Mikkel; Galsgaard, Bo

    2014-01-01

    the need for efficient training. When training with the robot, the communication between the trainer and the trainee is limited, since the trainee often cannot see the trainer. To overcome this issue, this paper proposes an Augmented Reality (AR) system where the trainer is controlling two virtual robotic...... the procedure, and thereby enhances the training experience. The virtual overlay was also found to work as a good and illustrative approach for enhanced communication. However, the delay of the prototype made it difficult to use for actual training.......Training in the use of robot-assisted surgery systems is necessary before a surgeon is able to perform procedures using these systems because the setup is very different from manual procedures. In addition, surgery robots are highly expensive to both acquire and maintain --- thereby entailing...

  16. A qualitative study of intimate partner violence universal screening by family therapy interns: implications for practice, research, training, and supervision.

    Science.gov (United States)

    Todahl, Jeffrey L; Linville, Deanna; Chou, Liang-Ying; Maher-Cosenza, Patricia

    2008-01-01

    Although a few family therapy researchers and clinicians have urged universal screening for intimate partner violence (IPV), how screening is implemented-and, in particular, client and therapist response to screening-is vaguely defined and largely untested. This qualitative study examined the dilemmas experienced by couples and family therapy interns when implementing universal screening for IPV in an outpatient clinic setting. Twenty-two graduate students in a COAMFTE-accredited program were interviewed using qualitative research methods grounded in phenomenology. Three domains, 7 main themes, and 26 subthemes were identified. The three domains that emerged in this study include (a) therapist practice of universal screening, (b) client response to universal screening, and (c) therapist response to universal screening. Implications for practice, research, training, and supervision are discussed.

  17. The effect of a supervised exercise training programme on sleep quality in recently discharged heart failure patients.

    Science.gov (United States)

    Suna, Jessica M; Mudge, Alison; Stewart, Ian; Marquart, Louise; O'Rourke, Peter; Scott, Adam

    2015-06-01

    Sleep disturbances, including insomnia and sleep-disordered breathing, are a common complaint in people with heart failure and impair well-being. Exercise training (ET) improves quality of life in stable heart failure patients. ET also improves sleep quality in healthy older patients, but there are no previous intervention studies in heart failure patients. The aim of this study was to examine the impact of ET on sleep quality in patients recently discharged from hospital with heart failure. This was a sub-study of a multisite randomised controlled trial. Participants with a heart failure hospitalisation were randomised within six weeks of discharge to a 12-week disease management programme including exercise advice (n=52) or to the same programme with twice weekly structured ET (n=54). ET consisted of two one-hour supervised aerobic and resistance training sessions, prescribed and advanced by an exercise specialist. The primary outcome was change in Pittsburgh Sleep Quality Index (PSQI) between randomisation and week 12. At randomisation, 45% of participants reported poor sleep (PSQI≥5). PSQI global score improved significantly more in the ET group than the control group (-1.5±3.7 vs 0.4±3.8, p=0.03). Improved sleep quality correlated with improved exercise capacity and reduced depressive symptoms, but not with changes in body mass index or resting heart rate. Twelve weeks of twice-weekly supervised ET improved sleep quality in patients recently discharged from hospital with heart failure. © The European Society of Cardiology 2014.

  18. Long-term abacus training induces automatic processing of abacus numbers in children.

    Science.gov (United States)

    Du, Fenglei; Yao, Yuan; Zhang, Qiong; Chen, Feiyan

    2014-01-01

    Abacus-based mental calculation (AMC) is a unique strategy for arithmetic that is based on the mental abacus. AMC experts can solve calculation problems with extraordinarily fast speed and high accuracy. Previous studies have demonstrated that abacus experts showed superior performance and special neural correlates during numerical tasks. However, most of those studies focused on the perception and cognition of Arabic numbers. It remains unclear how the abacus numbers were perceived. By applying a similar enumeration Stroop task, in which participants are presented with a visual display containing two abacus numbers and asked to compare the numerosity of beads that consisted of the abacus number, in the present study we investigated the automatic processing of the numerical value of abacus numbers in abacus-trained children. The results demonstrated a significant congruity effect in the numerosity comparison task for abacus-trained children, in both reaction time and error rate analysis. These results suggested that the numerical value of abacus numbers was perceived automatically by the abacus-trained children after long-term training.

  19. On-line 'automatic pilot' training for hand and arm motor rehabilitation after stroke.

    Science.gov (United States)

    Zeng, Jinhua; Sun, Yaoru; Jiang, Li

    2011-02-01

    As stroke being one of the most leading causes of death worldwide, even stroke survivors have to suffer from dysfunctions of limb controls and inabilities of speech or vision. Cognitive neuroscientists have found various forms of automatic behaviours in healthy people, which generally cover motor components of upper limbs and are essential for coordination and mobility relevant activities. Meanwhile, the robot-assisted therapy and functional electrical stimulation have become prominent rehabilitation techniques for patients' rehabilitation after stroke. With the integration of robot-aided therapeutic systems and the functional electrical stimulation, the on-line 'automatic pilot' training of the visual inspired stimulation for upper limbs can offer a feasible treatment for patients after stroke to recover motor performance. Copyright © 2010 Elsevier Ltd. All rights reserved.

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

    Science.gov (United States)

    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.

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

    NARCIS (Netherlands)

    Lacroix, Andre; Hortobagyi, Tibor; Beurskens, Rainer; Granacher, Urs

    2017-01-01

    Background 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

  2. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method.

    Science.gov (United States)

    Xie, Xiurui; Qu, Hong; Yi, Zhang; Kurths, Jurgen

    2017-06-01

    The spiking neural network (SNN) is the third generation of neural networks and performs remarkably well in cognitive tasks, such as pattern recognition. The temporal neural encode mechanism found in biological hippocampus enables SNN to possess more powerful computation capability than networks with other encoding schemes. However, this temporal encoding approach requires neurons to process information serially on time, which reduces learning efficiency significantly. To keep the powerful computation capability of the temporal encoding mechanism and to overcome its low efficiency in the training of SNNs, a new training algorithm, the accurate synaptic-efficiency adjustment method is proposed in this paper. Inspired by the selective attention mechanism of the primate visual system, our algorithm selects only the target spike time as attention areas, and ignores voltage states of the untarget ones, resulting in a significant reduction of training time. Besides, our algorithm employs a cost function based on the voltage difference between the potential of the output neuron and the firing threshold of the SNN, instead of the traditional precise firing time distance. A normalized spike-timing-dependent-plasticity learning window is applied to assigning this error to different synapses for instructing their training. Comprehensive simulations are conducted to investigate the learning properties of our algorithm, with input neurons emitting both single spike and multiple spikes. Simulation results indicate that our algorithm possesses higher learning performance than the existing other methods and achieves the state-of-the-art efficiency in the training of SNN.

  3. Combined Lower Limb Revascularisation and Supervised Exercise Training for Patients with Peripheral Arterial Disease: A Systematic Review of Randomised Controlled Trials.

    Science.gov (United States)

    Menêses, Annelise L; Ritti-Dias, Raphael M; Parmenter, Belinda; Golledge, Jonathan; Askew, Christopher D

    2017-05-01

    Both revascularisation and supervised exercise training improve functional outcomes and quality of life in patients with peripheral arterial disease (PAD). However, the value of combined therapy, where exercise therapy is delivered as an adjunct to revascularisation, is less clear. To systematically review evidence on the efficacy of lower limb revascularisation combined with supervised exercise training in patients with PAD. Parallel-group randomised controlled trials indexed in the Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, Embase, Scopus, CINAHL, SPORTDiscus and Web of Science were searched (up to Jan 2016). Outcome measures were pain-free and maximum walking distances, ankle-brachial index (ABI), leg blood flow and quality of life. Methodological quality was assessed using the Physiotherapy Evidence Database (PEDro) scale. Eight trials were included that enrolled a total of 726 patients (mean age 66 ± 3 years, ABI 0.66 ± 0.05). Combined therapy led to greater improvements in pain-free (mean difference [MD] range 38-408 m) and maximal walking distances (MD range 82-321 m) compared with revascularisation or supervised training alone. Combined therapy had no added effect on resting ABI over revascularisation (MD range -0.05 to 0.13), and had a significantly greater effect than supervised exercise training alone (MD range 0.13-0.31). Limited evidence (one to three trials) also suggested that combined therapy led to greater improvements in leg blood flow and physical domains of quality of life than supervised exercise training alone, and that improvements in leg blood flow, as well as the physical and mental domains of quality of life were not different to that achieved with revascularisation alone. Current evidence suggests that PAD patients treated with combined therapy achieve greater functional benefits than those treated with revascularisation or supervised exercise training alone. Limited evidence also suggests that the effect

  4. Effects of supervised slackline training on postural instability, freezing of gait, and falls efficacy in people with Parkinson's disease.

    Science.gov (United States)

    Santos, Luis; Fernandez-Rio, Javier; Winge, Kristian; Barragán-Pérez, Beatriz; Rodríguez-Pérez, Vicente; González-Díez, Vicente; Blanco-Traba, Miguel; Suman, Oscar E; Philip Gabel, Charles; Rodríguez-Gómez, Javier

    2017-08-01

    The aim of this study was to assess whether supervised slackline training reduces the risk of falls in people with Parkinson's disease (PD). Twenty-two patients with idiopathic PD were randomized into experimental (EG, N = 11) and control (CG, N = 11) groups. Center of Pressure (CoP), Freezing of Gait (FOG), and Falls Efficacy Scale (FES) were assessed at pre-test, post-test and re-test. Rate perceived exertion (RPE, Borg's 6-20 scale) and local muscle perceived exertion (LRPE) were also assessed at the end of the training sessions. The EG group showed significant improvements in FOG and FES scores from pre-test to post-test. Both decreased at re-test, though they did not return to pre-test levels. No significant differences were detected in CoP parameters. Analysis of RPE and LRPE scores revealed that slackline was associated with minimal fatigue and involved the major lower limb and lumbar muscles. These findings suggest that slacklining is a simple, safe, and challenging training and rehabilitation tool for PD patients. It could be introduced into their physical activity routine to reduce the risk of falls and improve confidence related to fear of falling. Implications for Rehabilitation Individuals with Parkinson's disease (PD) are twice as likely to have falls compared to patients with other neurological conditions. This study support slackline as a simple, safe, and challenging training and rehabilitation tool for people with PD, which reduce their risk of falls and improve confidence related to fear of falling. Slackline in people with PD yields a low tiredness or fatigue impact and involves the major lower limb and lumbar muscles.

  5. Perceptions of balance and falls following a supervised training intervention - a qualitative study of people with Parkinson's disease.

    Science.gov (United States)

    Leavy, Breiffni; Berntsson, Johan; Franzén, Erika; Skavberg Roaldsen, Kirsti

    2017-12-21

    To explore perceptions of balance and falls among people with mild to moderate Parkinson's disease 3 - 12 months following participation in supervised balance training. This qualitative study used in-depth individual interviews for data collection among 13 people with Parkinson's disease. Interviews were systematically analyzed using qualitative content analysis with an inductive approach. Three main themes arose: Falls - avoided and intended highlights the wide spectrum of fall perceptions, ranging from worse-case scenario to undramatized events; Balance identity incorporates how gradual deterioration in balance served as a reminder of disease progression and how identifying themselves as "aware not afraid" helped certain participants to maintain balance confidence despite everyday activity restriction; Training as treatment recounts how participants used exercise as disease self-management with the aim to maintain independence in daily life. Interpretation of the underlying patterns of these main themes resulted in the overarching theme Training as treatment when battling problems with balance and falls. Whereas certain participants expressed a fear of falling which they managed by activity restriction, others described being confident in their balance despite avoidance of balance-challenging activities. Training was used as treatment to self-manage disease-related balance impairments in order to maintain independence in daily life. Implication for Rehabilitation People with Parkinson's disease require early advice about the positive effects of physical activity as well as strategies for self-management in order to ease the psychological and physical burden of progressive balance impairment. Fear of falling should be investigated alongside activity avoidance in this group in order to provide a more accurate insight into the scope of psychological concerns regarding balance and falls in everyday life. Certain people with Parkinson's disease define their

  6. Emotion Regulation: Processes, Strategies, and Applications to Group Work Training and Supervision

    Science.gov (United States)

    Champe, Julia; Okech, Jane E. Atieno; Rubel, Deborah J.

    2013-01-01

    The complex group work environment can be overwhelming and anxiety provoking, particularly for novice group leaders. Effectively accessing and managing one's own emotions are tasks central to effective group leadership and should be primary learning objectives of group workers in training. This article provides an overview of Gross's…

  7. Cardiac Arrest During Medically-Supervised Exercise Training: A Report of Fifteen Successful Defibrillations.

    Science.gov (United States)

    Pyfer, Howard R.; And Others

    The Cardio-Pulmonary Research Institute conducted an exercise program for men with a history of coronary heart disease. Over 7 years, there were 15 cases of cardiac arrest during exercise (one for every 6,000 man-hours of exercise). Trained medical personnel were present in all cases, and all were resuscitated by electrical defibrillation with no…

  8. Care to pregnant women in primary care: report of activities in supervised training

    Directory of Open Access Journals (Sweden)

    Mayckel da Silva Barreto

    2013-07-01

    Full Text Available This is an experience report that describes an academic activity during Interdisciplinary In-training course, which is part of curricular program of the 4th year of the Nursing undergraduate course at a public university of the Paraná Northwest. As evaluation of the internship was elaborated an Action Plan based on the Altadir Method of Popular Planning, about prenatal care, focusing on the most common pregnancy complications. After researching the literature, observations during the internship, study in documents and reports of the health team, revealed was that anemia, followed by urinary complications, gastric and gynecological were pregnancy complications more frequent at the health unit. As a result of acquired knowledge together, several actions were undertaken, with professionals and pregnant women. The activities evidenced the relevance of Interdisciplinary In-training as an agent of the competences consolidation and technical abilities, providing the academic identify problems, develop intervention strategies and operational demands of the action.

  9. [Supervised exercise training in patients with pulmonary arterial hypertension - analyses of the effectiveness and safety].

    Science.gov (United States)

    Saxer, S; Rhyner, M; Treder, U; Speich, R; van Gestel, A J R

    2012-02-01

    Both in today's scientific research and in clinical practice, there exists a need to address the uncertainty concerning the effectiveness and safety of cardiopulmonary exercise training (CPET) in patients with pulmonary arterial hypertension (PAH). It is commonly believed that CPET may be dangerous for patients with PAH, because increasing pressure on the pulmonary arteries may worsen right-sided heart failure. Recently, the first clinical trials on exercise training in patients with pulmonary hypertension reported promising results. Extension of the walking distance at the 6-minute walk test improved quality of life, endurance capacity and a reduction in symptoms were observed after CPET. Furthermore, CPET was well tolerated by the patients in five clinical trials. In conclusion, it may be postulated that CPET is an effective therapy in patients with PAH and was tendentially well tolerated by the patients.

  10. Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data

    Directory of Open Access Journals (Sweden)

    Wei Zhu

    2017-01-01

    Full Text Available An urban rail transit (URT system is operated according to relatively punctual schedule, which is one of the most important constraints for a URT passenger’s travel. Thus, it is the key to estimate passengers’ train choices based on which passenger route choices as well as flow distribution on the URT network can be deduced. In this paper we propose a methodology that can estimate individual passenger’s train choices with real timetable and automatic fare collection (AFC data. First, we formulate the addressed problem using Manski’s paradigm on modelling choice. Then, an integrated framework for estimating individual passenger’s train choices is developed through a data-driven approach. The approach links each passenger trip to the most feasible train itinerary. Initial case study on Shanghai metro shows that the proposed approach works well and can be further used for deducing other important operational indicators like route choices, passenger flows on section, load factor of train, and so forth.

  11. Current overview of the teaching practice development and supervised apprenticeship in the training course of Biological Sciences of the State University of Western Paraná

    Directory of Open Access Journals (Sweden)

    Daniela Frigo Ferraz

    2013-06-01

    Full Text Available Considering the importance of the relation between theory and practice in the initial teacher training, we aimed to investigate some aspects related to the teaching practice and the supervised training in the Political Pedagogical Project of the Biological Sciences course-Degree of the State University of Western Paraná (UNIOESTE. For the purposes of the research, the 031/2003-CEPE, 329/2006-CEPE, 382/2007-CEPE and the 191/2009-CEPE resolutions, related to the Political Pedagogical Project of the mentioned course, were analyzed. The analysis pointed out that there are more meaningful changes between the 031/2003-CEPE resolution and the 382/2007-CEPE resolution, once the lattest one presented a more refined understanding of the National Curriculum Guidelines (Diretrizes Curriculares Nacionais - DCN and the specific literature of the teaching area, regarding the aspects of Teaching Practice and Supervised Training.

  12. A rehabilitation training system with double-CCD camera and automatic spatial positioning technique

    Science.gov (United States)

    Lin, Chern-Sheng; Wei, Tzu-Chi; Lu, An-Tsung; Hung, San-Shan; Chen, Wei-Lung; Chang, Chia-Chang

    2011-03-01

    This study aimed to develop a computer game for machine vision integrated rehabilitation training system. The main function of the system is to allow users to conduct hand grasp-and-place movement through machine vision integration. Images are captured by a double-CCD camera, and then positioned on a large screen. After defining the right, left, upper, and lower boundaries of the captured images, an automatic spatial positioning technique is employed to obtain their correlation functions, and lookup tables are defined for cameras. This system can provide rehabilitation courses and games that allow users to exercise grasp-and-place movements, in order to improve their upper limb movement control, trigger trunk control, and balance training.

  13. Self-supervised ARTMAP.

    Science.gov (United States)

    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.

  14. "The effect of supervised exercise training on psychological characteristics and physical fitness after myocardial infarction "

    Directory of Open Access Journals (Sweden)

    "Boshtam M

    2000-11-01

    Full Text Available Regarding the increasing prevalence of cardiovascular disease (CVD especially myocardial infarction (MI, and the insufficiency of information in the field of physical rehabilitation, this study aimed to investigate the effectiveness of a course of physical rehabilitation on the psychological status and physical characteristics f cardiac patients. In this study, the effect of 8 weeks exercise training, 3 sessions of 45 minutes duration per week, on the physical and psychological function of MI patients was evaluated. Eighty patients who were referred to the rehabilitation unit of Isfahan cardiovascular Research Center were randomly divided into two groups of exercise and non-exercise. The data of pre and post exercise course were analyzed with the SPSS software using the two-sample t-test and multiple liner regression. The comparison of the mean changes of functional capacity. Weight, body mass index (BMI, heart rate, and systolic and diastolic blood pressures between exercise and non-exercise groups after 8 weeks showed significant difference for all studied factors (P<0.05. Also, investigating the psychological characteristics such as depression, anxiety and hostility scores indicated a significant change after exercise training (P<0.05. Personality and behavior showed no significant difference. This study suggests the functional has a significant effect on improving the function capacity and psychological behavior in post MI patients.

  15. Transfer learning improves supervised image segmentation across imaging protocols.

    Science.gov (United States)

    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%.

  16. Portable automatic text classification for adverse drug reaction detection via multi-corpus training.

    Science.gov (United States)

    Sarker, Abeed; Gonzalez, Graciela

    2015-02-01

    Automatic detection of adverse drug reaction (ADR) mentions from text has recently received significant interest in pharmacovigilance research. Current research focuses on various sources of text-based information, including social media-where enormous amounts of user posted data is available, which have the potential for use in pharmacovigilance if collected and filtered accurately. The aims of this study are: (i) to explore natural language processing (NLP) approaches for generating useful features from text, and utilizing them in optimized machine learning algorithms for automatic classification of ADR assertive text segments; (ii) to present two data sets that we prepared for the task of ADR detection from user posted internet data; and (iii) to investigate if combining training data from distinct corpora can improve automatic classification accuracies. One of our three data sets contains annotated sentences from clinical reports, and the two other data sets, built in-house, consist of annotated posts from social media. Our text classification approach relies on generating a large set of features, representing semantic properties (e.g., sentiment, polarity, and topic), from short text nuggets. Importantly, using our expanded feature sets, we combine training data from different corpora in attempts to boost classification accuracies. Our feature-rich classification approach performs significantly better than previously published approaches with ADR class F-scores of 0.812 (previously reported best: 0.770), 0.538 and 0.678 for the three data sets. Combining training data from multiple compatible corpora further improves the ADR F-scores for the in-house data sets to 0.597 (improvement of 5.9 units) and 0.704 (improvement of 2.6 units) respectively. Our research results indicate that using advanced NLP techniques for generating information rich features from text can significantly improve classification accuracies over existing benchmarks. Our experiments

  17. Working in the Field of Complex Psychological Trauma: A Framework for Personal and Professional Growth, Training, and Supervision.

    Science.gov (United States)

    Coleman, Anne Marie; Chouliara, Zoë; Currie, Kay

    2018-03-01

    The aim of this article is to explore the positive and negative impacts of working therapeutically in complex psychological trauma (CPT), particularly the field of gender-based violence (GBV) and childhood sexual abuse (CSA), from the clinicians' perspective. The focus was on the prospect of positive gains and growth for therapists. Twenty-one clinicians ( n = 21; counselors/psychotherapists and psychologists) from National Health Service (NHS) specialist trauma services, a community mental health team, and specialist sexual assault counseling organization participated. Interpretative phenomenological analysis (IPA) was utilized to conduct single one-off interviews and analysis. Six themes were identified: Called to the work; Connection, Separation, and Oneness; Into and out of the darkness; Chaos into meaning; Reparation not repetition; and Expansion and growth. The first "Therapist Led Framework of Growth in Trauma Work" is presented. Vicarious posttraumatic growth (VPTG) was a key finding, with CPT therapists experiencing a "challenge/benefit/change" growth process. Adoption of actively relational strategies to enhance clinicians' growth process through trauma work is being proposed. The benefits of conceptualizing both the positive and negative impacts of such work for supervision, training, shaping the formal curricula, service management, and continuing professional development (CPD) are being discussed. The need for good practice guidelines on self-care internationally is highlighted.

  18. Therapeutic validity and effectiveness of supervised physical exercise training on exercise capacity in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

    Science.gov (United States)

    Vooijs, Martijn; Siemonsma, Petra C; Heus, Inge; Sont, Jacob K; Rövekamp, Ton Ajm; van Meeteren, Nico Lu

    2016-11-01

    Our aim was to determine the effectiveness of supervised physical exercise training on exercise capacity in patients with chronic obstructive pulmonary disease taken into consideration indices such as therapeutic validity of interventions, methodological quality of studies, and exercise volume. MEDLINE, Cochrane Central Register of Controlled Trials, EMBASE, CINAHL, and PEDro databases were searched from inception until 17 July 2015 for randomized controlled trials comparing the effect of supervised exercise training vs. usual care in patients with chronic obstructive pulmonary disease. The references of included studies and review articles were hand searched for additional references and key authors of included trials were crosschecked in PubMed for any missed references. Two reviewers independently assessed therapeutic validity of exercise training and methodological quality of included studies. Overall effects were calculated using a random effects model. A total of 13 studies involving 756 patients with chronic obstructive pulmonary disease were included. Significant differences in maximal exercise capacity (standardized mean difference 0.52, 95% CI 0.31 to 0.74) and endurance exercise capacity (standardized mean difference 0.73, 95% CI 0.50 to 0.96) in favor of physical exercise training were found. The volume of physical exercise per week, the total volume of physical exercise, or their associations did not significantly influence the effect of training. Effects of supervised physical exercise was not significantly altered by therapeutic validity. A combination of aerobic exercise and strength training was found to be more effective than strength training or endurance training alone in increasing the 6-minute walking distance.

  19. AAPM Medical Physics Practice Guideline 3.a: Levels of supervision for medical physicists in clinical training.

    Science.gov (United States)

    Seibert, J Anthony; Clements, Jessica B; Halvorsen, Per H; Herman, Michael G; Martin, Melissa C; Palta, Jatinder; Pfeiffer, Douglas E; Pizzutiello, Robert J; Schueler, Beth A; Shepard, S Jeff; Fairobrent, Lynne A

    2015-05-08

    The American Association of Physicists in Medicine (AAPM) is a nonprofit professional society whose primary purposes are to advance the science, education and professional practice of medical physics. The AAPM has more than 8,000 members and is the principal organization of medical physicists in the United States.The AAPM will periodically define new practice guidelines for medical physics practice to help advance the science of medical physics and to improve the quality of service to patients throughout the United States. Existing medical physics practice guidelines will be reviewed for the purpose of revision or renewal, as appropriate, on their fifth anniversary or sooner.Each medical physics practice guideline represents a policy statement by the AAPM, has undergone a thorough consensus process in which it has been subjected to extensive review, and requires the approval of the Professional Council. The medical physics practice guidelines recognize that the safe and effective use of diagnostic and therapeutic radiology requires specific training, skills, and techniques, as described in each document. Reproduction or modification of the published practice guidelines and technical standards by those entities not providing these services is not authorized.The following terms are used in the AAPM practice guidelines:Must and Must Not: Used to indicate that adherence to the recommendation is considered necessary to conform to this practice guideline.Should and Should Not: Used to indicate a prudent practice to which exceptions may occasionally be made in appropriate circumstances.

  20. Educational Supervision Appropriate for Psychiatry Trainee's Needs

    Science.gov (United States)

    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…

  1. Chemical name extraction based on automatic training data generation and rich feature set.

    Science.gov (United States)

    Yan, Su; Spangler, W Scott; Chen, Ying

    2013-01-01

    The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Another difficulty is the selection of informative features of chemical names, since comprehensive domain knowledge on chemistry nomenclature is required. Leveraging random text generation techniques, we explore the idea of automatically creating training sets for the task of chemical name extraction. Assuming the availability of an incomplete list of chemical names, called a dictionary, we are able to generate well-controlled, random, yet realistic chemical-like training documents. We statistically analyze the construction of chemical names based on the incomplete dictionary, and propose a series of new features, without relying on any domain knowledge. Compared to state-of-the-art models learned from manually labeled data and domain knowledge, our solution shows better or comparable results in annotating real-world data with less human effort. Moreover, we report an interesting observation about the language for chemical names. That is, both the structural and semantic components of chemical names follow a Zipfian distribution, which resembles many natural languages.

  2. Supervision af psykoterapi via Skype

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Grünbaum, Liselotte

    2011-01-01

    The article accounts for the situations in which distance supervision may be necessary. Skype™ is introduced as a way to make audiovisual distance supervision easy accessible. The literature on empirical studies of clinical supervision mediated by video is reviewed. Furthermore, the authors’ own...... clinical experience of Skype™ in supervision, mainly of psychoanalytic child psychotherapy, is presented and reflected upon. Finally, the reluctance of the Danish Board for Psychologists’s to recognize audiovisual distance supervision as part of the required training demands is discussed. It is concluded...

  3. Reflections on supervision in psychotherapy.

    Science.gov (United States)

    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.

  4. The efficacy of unsupervised home?based exercise regimens in comparison to supervised laboratory?based exercise training upon cardio?respiratory health facets

    OpenAIRE

    Blackwell, James; Atherton, Philip J.; Smith, Kenneth; Doleman, Brett; Williams, John P.; Lund, Jonathan N.; Phillips, Bethan E.

    2017-01-01

    Abstract Supervised high?intensity interval training (HIIT) can rapidly improve cardiorespiratory fitness (CRF). However, the effectiveness of time?efficient unsupervised home?based interventions is unknown. Eighteen volunteers completed either: laboratory?HIIT (L?HIIT); home?HIIT (H?HIIT) or home?isometric hand?grip training (H?IHGT). CRF improved significantly in L?HIIT and H?HIIT groups, with blood pressure improvements in the H?IHGT group only. H?HIIT offers a practical, time?efficient ex...

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

    Science.gov (United States)

    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.

  6. High-Throughput Automatic Training System for Odor-Based Learned Behaviors in Head-Fixed Mice

    Directory of Open Access Journals (Sweden)

    Zhe Han

    2018-02-01

    Full Text Available Understanding neuronal mechanisms of learned behaviors requires efficient behavioral assays. We designed a high-throughput automatic training system (HATS for olfactory behaviors in head-fixed mice. The hardware and software were constructed to enable automatic training with minimal human intervention. The integrated system was composed of customized 3D-printing supporting components, an odor-delivery unit with fast response, Arduino based hardware-controlling and data-acquisition unit. Furthermore, the customized software was designed to enable automatic training in all training phases, including lick-teaching, shaping and learning. Using HATS, we trained mice to perform delayed non-match to sample (DNMS, delayed paired association (DPA, Go/No-go (GNG, and GNG reversal tasks. These tasks probed cognitive functions including sensory discrimination, working memory, decision making and cognitive flexibility. Mice reached stable levels of performance within several days in the tasks. HATS enabled an experimenter to train eight mice simultaneously, therefore greatly enhanced the experimental efficiency. Combined with causal perturbation and activity recording techniques, HATS can greatly facilitate our understanding of the neural-circuitry mechanisms underlying learned behaviors.

  7. A SURVEY OF SEMI-SUPERVISED LEARNING

    OpenAIRE

    Amrita Sadarangani *, Dr. Anjali Jivani

    2016-01-01

    Semi Supervised Learning involves using both labeled and unlabeled data to train a classifier or for clustering. Semi supervised learning finds usage in many applications, since labeled data can be hard to find in many cases. Currently, a lot of research is being conducted in this area. This paper discusses the different algorithms of semi supervised learning and then their advantages and limitations are compared. The differences between supervised classification and semi-supervised classific...

  8. Clinical supervision: the state of the art.

    Science.gov (United States)

    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.

  9. A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease: A prospective pilot study.

    Science.gov (United States)

    Chomiak, Taylor; Watts, Alexander; Meyer, Nicole; Pereira, Fernando V; Hu, Bin

    2017-02-01

    Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT). This was a 4-week prospective intervention pilot study. The intervention uses a sensor system and algorithm that runs off the iPod Touch which calculates step height (SH) in real-time. These measurements were then used to trigger auditory (treatment group, music; control group, radio podcast) playback in real-time through wireless headphones upon maintenance of repeated large amplitude stepping. With small steps or shuffling, auditory playback stops, thus allowing participants to use anticipatory motor control to regain positive feedback. Eleven participants were recruited from an ongoing trial (Trial Number: ISRCTN06023392). Fear of falling (FES-I), general cognitive functioning (MoCA), self-reported freezing of gait (FOG-Q), and DT step automaticity were evaluated. While we found no significant effect of training on FES-I, MoCA, or FOG-Q, we did observe a significant group (music vs podcast) by training interaction in DT step automaticity (Pmusically-contingent SIP training to increase motor automaticity for people living with PD. The training approach described here can be implemented at home to meet the growing demand for self-management of symptoms by patients.

  10. Supervised Learning

    Science.gov (United States)

    Rokach, Lior; Maimon, Oded

    This chapter summarizes the fundamental aspects of supervised methods. The chapter provides an overview of concepts from various interrelated fields used in subsequent chapters. It presents basic definitions and arguments from the supervised machine learning literature and considers various issues, such as performance evaluation techniques and challenges for data mining tasks.

  11. Effect of high- versus low-intensity supervised aerobic and resistance training on modifiable cardiovascular risk factors in type 2 diabetes; the Italian Diabetes and Exercise Study (IDES.

    Directory of Open Access Journals (Sweden)

    Stefano Balducci

    Full Text Available BACKGROUND: While current recommendations on exercise type and volume have strong experimental bases, there is no clear evidence from large-sized studies indicating whether increasing training intensity provides additional benefits to subjects with type 2 diabetes. OBJECTIVE: To compare the effects of moderate-to-high intensity (HI versus low-to-moderate intensity (LI training of equal energy cost, i.e. exercise volume, on modifiable cardiovascular risk factors. DESIGN: Pre-specified sub-analysis of the Italian Diabetes and Exercise Study (IDES, a randomized multicenter prospective trial comparing a supervised exercise intervention with standard care for 12 months (2005-2006. SETTING: Twenty-two outpatient diabetes clinics across Italy. PATIENTS: Sedentary patients with type 2 diabetes assigned to twice-a-week supervised progressive aerobic and resistance training plus exercise counseling (n = 303. INTERVENTIONS: Subjects were randomized by center to LI (n = 142, 136 completed or HI (n = 161, 152 completed progressive aerobic and resistance training, i.e. at 55% or 70% of predicted maximal oxygen consumption and at 60% or 80% of predicted 1-Repetition Maximum, respectively, of equal volume. MAIN OUTCOME MEASURE(S: Hemoglobin (Hb A(1c and other cardiovascular risk factors; 10-year coronary heart disease (CHD risk scores. RESULTS: Volume of physical activity, both supervised and non-supervised, was similar in LI and HI participants. Compared with LI training, HI training produced only clinically marginal, though statistically significant, improvements in HbA(1c (mean difference -0.17% [95% confidence interval -0.44,0.10], P = 0.03, triglycerides (-0.12 mmol/l [-0.34,0.10], P = 0.02 and total cholesterol (-0.24 mmol/l [-0.46, -0.01], P = 0.04, but not in other risk factors and CHD risk scores. However, intensity was not an independent predictor of reduction of any of these parameters. Adverse event rate was similar in HI and LI subjects

  12. How should we evaluate supervised hashing?

    OpenAIRE

    Sablayrolles, Alexandre; Douze, Matthijs; Jégou, Hervé; Usunier, Nicolas

    2016-01-01

    Hashing produces compact representations for documents, to perform tasks like classification or retrieval based on these short codes. When hashing is supervised, the codes are trained using labels on the training data. This paper first shows that the evaluation protocols used in the literature for supervised hashing are not satisfactory: we show that a trivial solution that encodes the output of a classifier significantly outperforms existing supervised or semi-supervised methods, while using...

  13. Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT.

    Science.gov (United States)

    Cheimariotis, Grigorios-Aris; Al-Mashat, Mariam; Haris, Kostas; Aletras, Anthony H; Jögi, Jonas; Bajc, Marika; Maglaveras, Nicolaos; Heiberg, Einar

    2018-02-01

    Image segmentation is an essential step in quantifying the extent of reduced or absent lung function. The aim of this study is to develop and validate a new tool for automatic segmentation of lungs in ventilation and perfusion SPECT images and compare automatic and manual SPECT lung segmentations with reference computed tomography (CT) volumes. A total of 77 subjects (69 patients with obstructive lung disease, and 8 subjects without apparent perfusion of ventilation loss) performed low-dose CT followed by ventilation/perfusion (V/P) SPECT examination in a hybrid gamma camera system. In the training phase, lung shapes from the 57 anatomical low-dose CT images were used to construct two active shape models (right lung and left lung) which were then used for image segmentation. The algorithm was validated in 20 patients, comparing its results to reference delineation of corresponding CT images, and by comparing automatic segmentation to manual delineations in SPECT images. The Dice coefficient between automatic SPECT delineations and manual SPECT delineations were 0.83 ± 0.04% for the right and 0.82 ± 0.05% for the left lung. There was statistically significant difference between reference volumes from CT and automatic delineations for the right (R = 0.53, p = 0.02) and left lung (R = 0.69, p automatic quantification of wide range of measurements.

  14. Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning.

    Science.gov (United States)

    Gönen, Mehmet

    2014-03-01

    Coupled training of dimensionality reduction and classification is proposed previously to improve the prediction performance for single-label problems. Following this line of research, in this paper, we first introduce a novel Bayesian method that combines linear dimensionality reduction with linear binary classification for supervised multilabel learning and present a deterministic variational approximation algorithm to learn the proposed probabilistic model. We then extend the proposed method to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to handle semi-supervised learning using a low-density assumption. We perform supervised learning experiments on four benchmark multilabel learning data sets by comparing our method with baseline linear dimensionality reduction algorithms. These experiments show that the proposed approach achieves good performance values in terms of hamming loss, average AUC, macro F 1 , and micro F 1 on held-out test data. The low-dimensional embeddings obtained by our method are also very useful for exploratory data analysis. We also show the effectiveness of our approach in finding intrinsic subspace dimensionality and semi-supervised learning tasks.

  15. Supervised training and home-based rehabilitation in patients with stabilized ankylosing spondylitis on TNF inhibitor treatment: a controlled clinical trial with a 12-month follow-up.

    Science.gov (United States)

    Masiero, Stefano; Poli, Patrizia; Bonaldo, Lara; Pigatto, Maurizia; Ramonda, Roberta; Lubrano, Ennio; Punzi, Leonardo; Maffulli, Nicola

    2014-06-01

    To assess the 12-month's follow-up effects on pain, mobility, and physical function outcomes of a supervised training and home-based rehabilitation for ankylosing spondylitis patients stabilized with TNF-inhibitor therapy. Controlled clinical trial (sequentially determined allocation) with 12-months' follow-up. Patients' homes. A total of 69 subjects were allocated to either a rehabilitation programme (rehabilitation group, n = 22), an educational-behavioural programme (educational group, n = 24), and to neither programme (control group, n = 23). Rehabilitation programme included supervised training and home exercises (stretching, strengthening, aerobic, chest, and spine/hip joint flexibility exercises); educational-behavioural programme included information on ankylosing spondylitis, pain and stress mechanisms, and control. Spinal pain intensity, Bath Ankylosing Spondylitis Metrology Index, Bath Ankylosing Spondylitis Functional Index, Bath Ankylosing Spondylitis Disease Activity Index, chest expansion, and cervical and lumbar spine active range of motion measured by a pocket goniometer. At baseline, the three groups exhibited comparable demographic characteristics and basal evaluations. Intra-group changes in the rehabilitation group from baseline to 12 months yielded statistically significant gains (p Ankylosing Spondylitis Disease Activity Index (p = 0.012 and p = 0.050), and in some goniometric measurements as cervical rotation (p = 0.007 and p = 0.014), toraco-lumbar rotation (p = 0.009 and p = 0.050), and total cervical movements (p = 0.009 and p = 0.001). In comparison with the educational-behavioural programme or no intervention, supervised training and home exercises improved long-term outcome in patients with ankylosing spondylitis. © The Author(s) 2013.

  16. Not Raising a "Bubble Kid": Farm Parents' Attitudes and Practices Regarding the Employment, Training and Supervision of Their Children.

    Science.gov (United States)

    Neufeld, Steven; Wright, Sue Marie; Gaut, Jolene

    2002-01-01

    A survey of 24 farm families in eastern Washington with at least one child aged 4-18 examined parents' attitudes toward children's farm work, children's experiential learning about farm work from an early age, safety instruction and practices with children, and supervision of children performing farm work. (Contains 24 references.) (SV)

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

    Science.gov (United States)

    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

  18. Correlation between bone mineral density and serum trace elements in response to supervised aerobic training in older adults

    Directory of Open Access Journals (Sweden)

    Alghadir AH

    2016-02-01

    Full Text Available Ahmad H Alghadir,1 Sami A Gabr,1,2 Einas S Al-Eisa,1 Muaz H Alghadir3 1Rehabilitation Research Chair, College of Applied Medical Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia; 2Department of Anatomy, Faculty of Medicine, Mansoura University, Mansoura, Egypt; 3Department of Orthopedics, King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia Background: Life style and physical activity play a pivotal role in prevention and treatment of osteoporosis. The mechanism for better bone metabolism and improvement of physical disorders is not clear yet. Trace minerals such as Ca, Mn, Cu, and Zn are essential precursors for most vital biological process, especially those of bone health.Objective: The main target of this study was evaluating the effective role of supervised aerobic exercise for 1 hour/day, 3 days/week for 12 weeks in the functions of trace elements in bone health through measuring bone mineral density (BMD, osteoporosis (T-score, bone markers, and trace element concentrations in healthy subjects aged 30–60 years with age average of 41.2±4.9.Methods: A total of 100 healthy subjects (47 males, 53 females; age range 30–60 years were recruited for this study. Based on dual-energy x-ray absorptiometry (DEXA scan analysis, the participants were classified into three groups: normal (n=30, osteopenic (n=40, and osteoporotic (n=30. Following, 12 weeks of moderate aerobic exercise, bone-specific alkaline phosphatase (BAP, BMD, T-score, and trace elements such as Ca, Mn, Cu, and Zn were assessed at baseline and post-intervention.Results: Significant improvement in serum BAP level, T-score, and BMD were observed in all participants following 12 weeks of moderate exercise. Participants with osteopenia and osteoporosis showed significant increase in serum Ca and Mn, along with decrease in serum Cu and Zn levels following 12 weeks of aerobic training. In control group, the improvements in serum trace elements and body mass

  19. Multicultural Supervision: What Difference Does Difference Make?

    Science.gov (United States)

    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…

  20. The efficacy of unsupervised home-based exercise regimens in comparison to supervised laboratory-based exercise training upon cardio-respiratory health facets.

    Science.gov (United States)

    Blackwell, James; Atherton, Philip J; Smith, Kenneth; Doleman, Brett; Williams, John P; Lund, Jonathan N; Phillips, Bethan E

    2017-09-01

    Supervised high-intensity interval training (HIIT) can rapidly improve cardiorespiratory fitness (CRF). However, the effectiveness of time-efficient unsupervised home-based interventions is unknown. Eighteen volunteers completed either: laboratory-HIIT (L-HIIT); home-HIIT (H-HIIT) or home-isometric hand-grip training (H-IHGT). CRF improved significantly in L-HIIT and H-HIIT groups, with blood pressure improvements in the H-IHGT group only. H-HIIT offers a practical, time-efficient exercise mode to improve CRF, away from the laboratory environment. H-IHGT potentially provides a viable alternative to modify blood pressure in those unable to participate in whole-body exercise. © 2017 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society.

  1. An Iterative Transfer Learning Based Ensemble Technique for Automatic Short Answer Grading

    OpenAIRE

    Roy, Shourya; Bhatt, Himanshu S.; Narahari, Y.

    2016-01-01

    Automatic short answer grading (ASAG) techniques are designed to automatically assess short answers to questions in natural language, having a length of a few words to a few sentences. Supervised ASAG techniques have been demonstrated to be effective but suffer from a couple of key practical limitations. They are greatly reliant on instructor provided model answers and need labeled training data in the form of graded student answers for every assessment task. To overcome these, in this paper,...

  2. Whither Supervision?

    Directory of Open Access Journals (Sweden)

    Duncan Waite

    2006-11-01

    Full Text Available This paper inquires if the school supervision is in decadence. Dr. Waite responds that the answer will depend on which perspective you look at it. Dr. Waite suggests taking in consideration three elements that are related: the field itself, the expert in the field (the professor, the theorist, the student and the administrator, and the context. When these three elements are revised, it emphasizes that there is not a consensus about the field of supervision, but there are coincidences related to its importance and that it is related to the improvement of the practice of the students in the school for their benefit. Dr. Waite suggests that the practice on this field is not always in harmony with what the theorists affirm. When referring to the supervisor or the skilled person, the author indicates that his or her perspective depends on his or her epistemological believes or in the way he or she conceives the learning; that is why supervision can be understood in different ways. About the context, Waite suggests that there have to be taken in consideration the social or external forces that influent the people and the society, because through them the education is affected. Dr. Waite concludes that the way to understand the supervision depends on the performer’s perspective. He responds to the initial question saying that the supervision authorities, the knowledge on this field, the performers, and its practice, are maybe spread but not extinct because the supervision will always be part of the great enterprise that we called education.

  3. Self-supervised Chinese ontology learning from online encyclopedias.

    Science.gov (United States)

    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.

  4. An Overview of Automaticity and Implications For Training the Thinking Process

    National Research Council Canada - National Science Library

    Holt, Brian

    2002-01-01

    ...., visual search to battlefield thinking). The results of this examination suggest that automaticity can be developed using consistent rules and extensive practice that vary depending on the type of task...

  5. Implementing automatic LiDAR and supervised mapping methodologies to quantify agricultural terraced landforms at landscape scale: the case of Veneto Region

    Science.gov (United States)

    Eugenio Pappalardo, Salvatore; Ferrarese, Francesco; Tarolli, Paolo; Varotto, Mauro

    2016-04-01

    Traditional agricultural terraced landscapes presently embody an important cultural value to be deeply investigated, both for their role in local heritage and cultural economy and for their potential geo-hydrological hazard due to abandonment and degradation. Moreover, traditional terraced landscapes are usually based on non-intensive agro-systems and may enhance some important ecosystems services such as agro-biodiversity conservation and cultural services. Due to their unplanned genesis, mapping, quantifying and classifying agricultural terraces at regional scale is often critical as far as they are usually set up on geomorphologically and historically complex landscapes. Hence, traditional mapping methods are generally based on scientific literature and local documentation, historical and cadastral sources, technical cartography and aerial images visual interpretation or, finally, field surveys. By this, limitations and uncertainty in mapping at regional scale are basically related to forest cover and lack in thematic cartography. The Veneto Region (NE of Italy) presents a wide heterogeneity of agricultural terraced landscapes, mainly distributed within the hilly and Prealps areas. Previous studies performed by traditional mapping method quantified 2,688 ha of terraced areas, showing the higher values within the Prealps of Lessinia (1,013 ha, within the Province of Verona) and in the Brenta Valley (421 ha, within the Province of Vicenza); however, terraced features of these case studies show relevant differences in terms of fragmentation and intensity of terraces, highlighting dissimilar degrees of clusterization: 1.7 ha on one hand (Province of Verona) and 1.2 ha per terraced area (Province of Vicenza) on the other one. The aim of this paper is to implement and to compare automatic methodologies with traditional survey methodologies to map and assess agricultural terraces in two representative areas of the Veneto Region. Testing different Remote Sensing

  6. Dual Supervised Learning

    OpenAIRE

    Xia, Yingce; Qin, Tao; Chen, Wei; Bian, Jiang; Yu, Nenghai; Liu, Tie-Yan

    2017-01-01

    Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image classification vs. image generation. Two dual tasks have intrinsic connections with each other due to the probabilistic correlation between their models. This connection is, however, not effectively utilized today, since people usually train the models of two dual tasks separately and independently. In this work, we p...

  7. Effect of early supervised progressive resistance training compared to unsupervised home-based exercise after fast-track total hip replacement applied to patients with preoperative functional limitations

    DEFF Research Database (Denmark)

    Mikkelsen, L R; Mechlenburg, I; Søballe, K

    2014-01-01

    OBJECTIVE: To examine if 2 weekly sessions of supervised progressive resistance training (PRT) in combination with 5 weekly sessions of unsupervised home-based exercise is more effective than 7 weekly sessions of unsupervised home-based exercise in improving leg-extension power of the operated leg...... 10 weeks after total hip replacement (THR) in patients with lower pre-operative function. METHOD: A total of 73 patients scheduled for THR were randomised (1:1) to intervention group (IG, home based exercise 5 days/week and PRT 2 days/week) or control group (CG, home based exercise 7 days...... of the operated leg, at the primary endpoint 10 weeks after surgery in THR patients with lower pre-operative function. TRIAL REGISTRATION: NCT01214954....

  8. A systematic review evaluating the impact of paid home carer training, supervision, and other interventions on the health and well-being of older home care clients.

    Science.gov (United States)

    Cooper, Claudia; Cenko, Blerta; Dow, Briony; Rapaport, Penny

    2017-04-01

    Interventions to support and skill paid home carers and managers could potentially improve health and well-being of older home care clients. This is the first systematic review of interventions to improve how home carers and home care agencies deliver care to older people, with regard to clients' health and well-being and paid carers' well-being, job satisfaction, and retention. We reviewed 10/731 papers found in the electronic search (to January 2016) fitting predetermined criteria, assessed quality using a checklist, and synthesized data using quantitative and qualitative techniques. Ten papers described eight interventions. The six quantitative evaluations used diverse outcomes that precluded meta-analysis. In the only quantitative study (a cluster Randomized Controlled Trial), rated higher quality, setting meaningful goals, carer training, and supervision improved client health-related quality of life. The interventions that improved client outcomes comprised training with additional implementation, such as regular supervision and promoted care focused around clients' needs and goals. In our qualitative synthesis of four studies, intervention elements carers valued were greater flexibility to work to a needs-based rather than a task-based model, learning more about clients, and improved communication with management and other workers. There is a dearth of evidence regarding effective strategies to improve how home care is delivered to older clients, particularly those with dementia. More research in this sector including feasibility testing of the first home care intervention trials to include health and life quality outcomes for clients with more severe dementia is now needed.

  9. Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition

    Directory of Open Access Journals (Sweden)

    Rongbing Huang

    2016-01-01

    Full Text Available Based on a special type of denoising autoencoder (DAE and image reconstruction, we present a novel supervised deep learning framework for face recognition (FR. Unlike existing deep autoencoder which is unsupervised face recognition method, the proposed method takes class label information from training samples into account in the deep learning procedure and can automatically discover the underlying nonlinear manifold structures. Specifically, we define an Adaptive Deep Supervised Network Template (ADSNT with the supervised autoencoder which is trained to extract characteristic features from corrupted/clean facial images and reconstruct the corresponding similar facial images. The reconstruction is realized by a so-called “bottleneck” neural network that learns to map face images into a low-dimensional vector and reconstruct the respective corresponding face images from the mapping vectors. Having trained the ADSNT, a new face image can then be recognized by comparing its reconstruction image with individual gallery images, respectively. Extensive experiments on three databases including AR, PubFig, and Extended Yale B demonstrate that the proposed method can significantly improve the accuracy of face recognition under enormous illumination, pose change, and a fraction of occlusion.

  10. Peer-led training in basic life support and resuscitation using an automatic external defibrillator

    DEFF Research Database (Denmark)

    Løfgren, Bo; Petersen, Christina Børlum; Mikkelsen, Ronni

    2009-01-01

    Peer-led training has been identified as a useful tool for delivering undergraduate healthcare training. In this paper we describe the implementation of the European Resuscitation Council BLS/AED Course as a peer-led training program for medical students....

  11. Weakly Supervised Deep Detection Networks

    OpenAIRE

    Bilen, Hakan; Vedaldi, Andrea

    2015-01-01

    Weakly supervised learning of object detection is an important problem in image understanding that still does not have a satisfactory solution. In this paper, we address this problem by exploiting the power of deep convolutional neural networks pre-trained on large-scale image-level classification tasks. We propose a weakly supervised deep detection architecture that modifies one such network to operate at the level of image regions, performing simultaneously region selection and classificati...

  12. Developing and Evaluating an Oral Skills Training Website Supported by Automatic Speech Recognition Technology

    Science.gov (United States)

    Chen, Howard Hao-Jan

    2011-01-01

    Oral communication ability has become increasingly important to many EFL students. Several commercial software programs based on automatic speech recognition (ASR) technologies are available but their prices are not affordable for many students. This paper will demonstrate how the Microsoft Speech Application Software Development Kit (SASDK), a…

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

    Science.gov (United States)

    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

  14. Supervised progressive cross-continuum strength training compared with usual care in older medical patients: study protocol for a randomized controlled trial (the STAND-Cph trial).

    Science.gov (United States)

    Pedersen, Mette Merete; Petersen, Janne; Beyer, Nina; Damkjær, Lars; Bandholm, Thomas

    2016-04-01

    Hospitalization in older adults is characterized by physical inactivity and a risk of losing function and independence. Systematic strength training can improve muscle strength and functional performance in older adults. Few studies have examined the effect of a program initiated during hospitalization and continued after discharge. We conducted a feasibility study prior to this trial and found a progression model for loaded sit-to-stands feasible in older medical patients. This study aims to determine whether a simple supervised strength training program for the lower extremities (based on the model), combined with post-training protein supplementation initiated during hospitalization and continued at home for 4 weeks, is superior to usual care on change in mobility 4 weeks after discharge in older medical patients. Eighty older medical patients (65 years or older) acutely admitted from their own homes will be included in this randomized, controlled, parallel-group, investigator-blinded, superiority trial. After baseline assessments patients will be randomized to (1) intervention: progressive strength training during hospitalization and after discharge (home-based), or (2) control: usual care. Shortly after discharge, 4 weeks after discharge (primary end point) and 6 months after discharge patients will be assessed in their own homes. The intervention encompasses strength training consisting of two lower extremity exercises (sit-to-stand and heel raise) daily during hospitalization and three times per week for 4 weeks after discharge. Both exercises follow pre-defined models for progression and will be performed for three sets of 8-12 repetitions maximum in each training session. Thereafter, the patient will be asked to consume a protein supplement given orally containing 18 g milk-based protein. The primary outcome will be change in the de Morton Mobility Index score from baseline to 4 weeks after discharge. Secondary outcomes will be 24-h mobility level

  15. Situated cognitive engineering : the requirements and design of automatically directed scenario-based training

    NARCIS (Netherlands)

    Peeters, M.M.M.; Meyer, J.J.C.; Bosch, K. van den; Neerincx, M.A.

    2012-01-01

    Serious games enable trainees to practice independently of school, staff, and fellow students. This is important as amount of practice directly relates to training efficacy. It is also known that personalized guidance elevates the benefits of training. How to achieve automated guidance, for example

  16. Experience with Group Supervision

    OpenAIRE

    Chen, Weiqin

    2006-01-01

    Supervision can take a few different forms. For example, it can be one-to-one supervision and it can also be group supervision. Group supervision is an important process within the scientific community. Many research groups use this form to supervise doctoral- and master students in groups. Some efforts have been made to study this process. For example, Samara (2002) studied the group supervision process in group writing. However, group supervision has not been studied thorough...

  17. Nondisclosure in Triadic Supervision: A Phenomenological Study of Counseling Students

    Science.gov (United States)

    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…

  18. QUEST : Eliminating online supervised learning for efficient classification algorithms

    NARCIS (Netherlands)

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

    2016-01-01

    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

  19. Supervised Classification in the Presence of Misclassified Training Data: A Monte Carlo Simulation Study in the Three Group Case

    Directory of Open Access Journals (Sweden)

    Jocelyn E Bolin

    2014-02-01

    Full Text Available Statistical classification of phenomena into observed groups is very common in the social and behavioral sciences. Statistical classification methods, however, are affected by the characteristics of the data under study. Statistical classification can be further complicated by initial misclassification of the observed groups. The purpose of this study is to investigate the impact of initial training data misclassification on several statistical classification and data mining techniques. Misclassification conditions in the three-group case will be simulated and results will be presented in terms of overall as well as subgroup classification accuracy. Results show decreased classification accuracy as sample size, group separation and group size ratio decrease and as misclassification percentage increases with random forests demonstrating the highest accuracy across conditions.

  20. Automatic Content Creation for Games to Train Students Distinguishing Similar Chinese Characters

    Science.gov (United States)

    Lai, Kwong-Hung; Leung, Howard; Tang, Jeff K. T.

    In learning Chinese, many students often have the problem of mixing up similar characters. This can cause misunderstanding and miscommunication in daily life. It is thus important for students learning the Chinese language to be able to distinguish similar characters and understand their proper usage. In this paper, we propose a game style framework in which the game content in identifying similar Chinese characters in idioms and words is created automatically. Our prior work on analyzing students’ Chinese handwriting can be applied in the similarity measure of Chinese characters. We extend this work by adding the component of radical extraction to speed up the search process. Experimental results show that the proposed method is more accurate and faster in finding more similar Chinese characters compared with the baseline method without considering the radical information.

  1. A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD)

    International Nuclear Information System (INIS)

    Suzuki, Kenji

    2009-01-01

    Computer-aided diagnosis (CAD) has been an active area of study in medical image analysis. A filter for the enhancement of lesions plays an important role for improving the sensitivity and specificity in CAD schemes. The filter enhances objects similar to a model employed in the filter; e.g. a blob-enhancement filter based on the Hessian matrix enhances sphere-like objects. Actual lesions, however, often differ from a simple model; e.g. a lung nodule is generally modeled as a solid sphere, but there are nodules of various shapes and with internal inhomogeneities such as a nodule with spiculations and ground-glass opacity. Thus, conventional filters often fail to enhance actual lesions. Our purpose in this study was to develop a supervised filter for the enhancement of actual lesions (as opposed to a lesion model) by use of a massive-training artificial neural network (MTANN) in a CAD scheme for detection of lung nodules in CT. The MTANN filter was trained with actual nodules in CT images to enhance actual patterns of nodules. By use of the MTANN filter, the sensitivity and specificity of our CAD scheme were improved substantially. With a database of 69 lung cancers, nodule candidate detection by the MTANN filter achieved a 97% sensitivity with 6.7 false positives (FPs) per section, whereas nodule candidate detection by a difference-image technique achieved a 96% sensitivity with 19.3 FPs per section. Classification-MTANNs were applied for further reduction of the FPs. The classification-MTANNs removed 60% of the FPs with a loss of one true positive; thus, it achieved a 96% sensitivity with 2.7 FPs per section. Overall, with our CAD scheme based on the MTANN filter and classification-MTANNs, an 84% sensitivity with 0.5 FPs per section was achieved.

  2. The change in motivating factors influencing commencement, adherence and retention to a supervised resistance training programme in previously sedentary post-menopausal women: a prospective cohort study.

    Science.gov (United States)

    Viljoen, Janet Erica; Christie, Candice Jo-Anne

    2015-03-12

    Understanding motivators for exercise participation in post-menopausal women may impact retention to exercise programmes and inform intervention trial designs. The purpose of this investigation was to assess self-reported motivational factors influencing adherence and retention to a 24-week progressive resistance training programme. Post-menopausal females (n = 34) were passively recruited to undertake a 24-week progressive resistance training protocol, in small-group sessions, on three non-consecutive days of the week. Attendance was recorded by the researcher. Qualitative reports were sourced from the sample for four phases of the study: pre-study (prior to week 1), recruitment (week 1), during study (weeks 2 - 24), and post-intervention (beyond week 24). Responses were categorised according to ten descriptors: specific health index improvement, education, flexibility of time, social contact, conscience (loyalty to the researcher), wellness, weight management, organisation parameters (pertaining to the study programme) and enjoyment of the exercises. Of the initial sample, 76.5% (n = 26) met the specified ≥80% attendance criterion. The primary findings were that motivation to volunteer for the study was driven by a perceived need for a structured exercise programme (50% of respondents). A commitment to the researcher was the primary motivator for continued adherence to the study for 50% of participants. Social contact with other participants was cited by 60% of the sample as the primary reason for adherence for the full duration of 24 weeks. A desire to maintain the "wellness" derived from the programme was cited by 60% as a reason for continuing an exercise routine post-study. This study identified that routine and supervision initially attract women to exercise programmes, while social cohesion of the group setting contributes to retention over time. Understanding the changing nature of motivating factors may contribute to better overall adherence

  3. Guidelines for clinical supervision in health service psychology.

    Science.gov (United States)

    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.

  4. Automatic creation of simulation configuration

    International Nuclear Information System (INIS)

    Oudot, G.; Poizat, F.

    1993-01-01

    SIPA, which stands for 'Simulator for Post Accident', includes: 1) a sophisticated software oriented workshop SWORD (which stands for 'Software Workshop Oriented towards Research and Development') designed in the ADA language including integrated CAD system and software tools for automatic generation of simulation software and man-machine interface in order to operate run-time simulation; 2) a 'simulator structure' based on hardware equipment and software for supervision and communications; 3) simulation configuration generated by SWORD, operated under the control of the 'simulator structure' and run on a target computer. SWORD has already been used to generate two simulation configurations (French 900 MW and 1300 MW nuclear power plants), which are now fully operational on the SIPA training simulator. (Z.S.) 1 ref

  5. Wellness Model of Supervision: A Comparative Analysis

    Science.gov (United States)

    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…

  6. Skærpet bevidsthed om supervision

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2002-01-01

    This article presents a historical survey of the initiatives which have taken place in european music therapy towards developing a deeper consciousness about supervision. Supervision as a disciplin in music therapy training, as a maintenance of music therapy profession and as a postgraduate...

  7. Consultative Instructor Supervision and Evaluation

    Science.gov (United States)

    Lee, William W.

    2010-01-01

    Organizations vary greatly in how they monitor training instructors. The methods used in monitoring vary greatly. This article presents a systematic process for improving instructor skills that result in better teaching and better learning, which results in better-prepared employees for the workforce. The consultative supervision and evaluation…

  8. Automatic classification of graphite in cast iron.

    Science.gov (United States)

    Gomes, Otávio da F M; Paciornik, Sidnei

    2005-08-01

    A method for automatic classification of the shape of graphite particles in cast iron is proposed. In a typical supervised classification procedure, the standard charts from the ISO-945 standard are used as a training and validation population. Several shape and size parameters are described and used as discriminants. A new parameter, the average internal angle, is proposed and is shown to be relevant for accurate classification. The ideal parameter sets are determined, leading to validation success rates above 90%. The classifier is then applied to real cast iron samples and provides results that are consistent with visual examination. The method provides classification results per particle, different from the traditional per field chart comparison methods. The full procedure can run automatically without user interference.

  9. Supervised Transfer Sparse Coding

    KAUST Repository

    Al-Shedivat, Maruan

    2014-07-27

    A combination of the sparse coding and transfer learn- ing techniques was shown to be accurate and robust in classification tasks where training and testing objects have a shared feature space but are sampled from differ- ent underlying distributions, i.e., belong to different do- mains. The key assumption in such case is that in spite of the domain disparity, samples from different domains share some common hidden factors. Previous methods often assumed that all the objects in the target domain are unlabeled, and thus the training set solely comprised objects from the source domain. However, in real world applications, the target domain often has some labeled objects, or one can always manually label a small num- ber of them. In this paper, we explore such possibil- ity and show how a small number of labeled data in the target domain can significantly leverage classifica- tion accuracy of the state-of-the-art transfer sparse cod- ing methods. We further propose a unified framework named supervised transfer sparse coding (STSC) which simultaneously optimizes sparse representation, domain transfer and classification. Experimental results on three applications demonstrate that a little manual labeling and then learning the model in a supervised fashion can significantly improve classification accuracy.

  10. Inductive Supervised Quantum Learning

    Science.gov (United States)

    Monràs, Alex; Sentís, Gael; Wittek, Peter

    2017-05-01

    In supervised learning, an inductive learning algorithm extracts general rules from observed training instances, then the rules are applied to test instances. We show that this splitting of training and application arises naturally, in the classical setting, from a simple independence requirement with a physical interpretation of being nonsignaling. Thus, two seemingly different definitions of inductive learning happen to coincide. This follows from the properties of classical information that break down in the quantum setup. We prove a quantum de Finetti theorem for quantum channels, which shows that in the quantum case, the equivalence holds in the asymptotic setting, that is, for large numbers of test instances. This reveals a natural analogy between classical learning protocols and their quantum counterparts, justifying a similar treatment, and allowing us to inquire about standard elements in computational learning theory, such as structural risk minimization and sample complexity.

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

    Science.gov (United States)

    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…

  12. Automatic training and reliability estimation for 3D ASM applied to cardiac MRI segmentation.

    Science.gov (United States)

    Tobon-Gomez, Catalina; Sukno, Federico M; Butakoff, Constantine; Huguet, Marina; Frangi, Alejandro F

    2012-07-07

    Training active shape models requires collecting manual ground-truth meshes in a large image database. While shape information can be reused across multiple imaging modalities, intensity information needs to be imaging modality and protocol specific. In this context, this study has two main purposes: (1) to test the potential of using intensity models learned from MRI simulated datasets and (2) to test the potential of including a measure of reliability during the matching process to increase robustness. We used a population of 400 virtual subjects (XCAT phantom), and two clinical populations of 40 and 45 subjects. Virtual subjects were used to generate simulated datasets (MRISIM simulator). Intensity models were trained both on simulated and real datasets. The trained models were used to segment the left ventricle (LV) and right ventricle (RV) from real datasets. Segmentations were also obtained with and without reliability information. Performance was evaluated with point-to-surface and volume errors. Simulated intensity models obtained average accuracy comparable to inter-observer variability for LV segmentation. The inclusion of reliability information reduced volume errors in hypertrophic patients (EF errors from 17 ± 57% to 10 ± 18%; LV MASS errors from -27 ± 22 g to -14 ± 25 g), and in heart failure patients (EF errors from -8 ± 42% to -5 ± 14%). The RV model of the simulated images needs further improvement to better resemble image intensities around the myocardial edges. Both for real and simulated models, reliability information increased segmentation robustness without penalizing accuracy.

  13. Training cows to approach the milking unit in response to acoustic signals in an automatic milking system during the grazing season

    DEFF Research Database (Denmark)

    Wredle, E.; Munksgaard, Lene; Sporndly, E.

    2006-01-01

    connected to the automatic milking system. The cows were trained indoors using an operant conditioning technique. All cows had 12 training sessions with 7–12 signals given at variable intervals. An evaluation period followed the training period. During evaluation, the trained cows received an individual...... a signal than after a control period with no signal (P trained and evaluated in early season was 8.2 ± 0.44 h (±S.E.M.). The interval for a reference group...... (with no signal) in early season was 9.7 ± 0.18 h (P trained in late season and a reference group (with no signal), respectively. During the evaluation in a full herd situation, the response ranged between 15 and 75...

  14. Security system signal supervision

    International Nuclear Information System (INIS)

    Chritton, M.R.; Matter, J.C.

    1991-09-01

    This purpose of this NUREG is to present technical information that should be useful to NRC licensees for understanding and applying line supervision techniques to security communication links. A review of security communication links is followed by detailed discussions of link physical protection and DC/AC static supervision and dynamic supervision techniques. Material is also presented on security for atmospheric transmission and video line supervision. A glossary of security communication line supervision terms is appended. 16 figs

  15. Deep Discrete Supervised Hashing

    OpenAIRE

    Jiang, Qing-Yuan; Cui, Xue; Li, Wu-Jun

    2017-01-01

    Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can significantly outperform unsupervised hashing. Recently, discrete supervised hashing and deep hashing are two representative progresses in supervised hashing. On one hand, hashing is essentially a discrete optimization problem. Hence, utilizing supervised information to directly guide discrete (binary) coding procedure can avoid sub-opti...

  16. A Delphi Study and Initial Validation of Counselor Supervision Competencies

    Science.gov (United States)

    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…

  17. Educational Technology and Distance Supervision in Counselor Education

    Science.gov (United States)

    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…

  18. Providing effective supervision in clinical neuropsychology.

    Science.gov (United States)

    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.

  19. Challenges for Better thesis supervision.

    Science.gov (United States)

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

    2014-01-01

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

  20. A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data.

    Science.gov (United States)

    Silva Filho, Telmo M; Souza, Renata M C R; Prudêncio, Ricardo B C

    2016-08-01

    Some complex data types are capable of modeling data variability and imprecision. These data types are studied in the symbolic data analysis field. One such data type is interval data, which represents ranges of values and is more versatile than classic point data for many domains. This paper proposes a new prototype-based classifier for interval data, trained by a swarm optimization method. Our work has two main contributions: a swarm method which is capable of performing both automatic selection of features and pruning of unused prototypes and a generalized weighted squared Euclidean distance for interval data. By discarding unnecessary features and prototypes, the proposed algorithm deals with typical limitations of prototype-based methods, such as the problem of prototype initialization. The proposed distance is useful for learning classes in interval datasets with different shapes, sizes and structures. When compared to other prototype-based methods, the proposed method achieves lower error rates in both synthetic and real interval datasets. Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. Literature mining of protein-residue associations with graph rules learned through distant supervision

    Directory of Open Access Journals (Sweden)

    Ravikumar KE

    2012-10-01

    Full Text Available Abstract Background We propose a method for automatic extraction of protein-specific residue mentions from the biomedical literature. The method searches text for mentions of amino acids at specific sequence positions and attempts to correctly associate each mention with a protein also named in the text. The methods presented in this work will enable improved protein functional site extraction from articles, ultimately supporting protein function prediction. Our method made use of linguistic patterns for identifying the amino acid residue mentions in text. Further, we applied an automated graph-based method to learn syntactic patterns corresponding to protein-residue pairs mentioned in the text. We finally present an approach to automated construction of relevant training and test data using the distant supervision model. Results The performance of the method was assessed by extracting protein-residue relations from a new automatically generated test set of sentences containing high confidence examples found using distant supervision. It achieved a F-measure of 0.84 on automatically created silver corpus and 0.79 on a manually annotated gold data set for this task, outperforming previous methods. Conclusions The primary contributions of this work are to (1 demonstrate the effectiveness of distant supervision for automatic creation of training data for protein-residue relation extraction, substantially reducing the effort and time involved in manual annotation of a data set and (2 show that the graph-based relation extraction approach we used generalizes well to the problem of protein-residue association extraction. This work paves the way towards effective extraction of protein functional residues from the literature.

  2. Literature mining of protein-residue associations with graph rules learned through distant supervision.

    Science.gov (United States)

    Ravikumar, Ke; Liu, Haibin; Cohn, Judith D; Wall, Michael E; Verspoor, Karin

    2012-10-05

    We propose a method for automatic extraction of protein-specific residue mentions from the biomedical literature. The method searches text for mentions of amino acids at specific sequence positions and attempts to correctly associate each mention with a protein also named in the text. The methods presented in this work will enable improved protein functional site extraction from articles, ultimately supporting protein function prediction. Our method made use of linguistic patterns for identifying the amino acid residue mentions in text. Further, we applied an automated graph-based method to learn syntactic patterns corresponding to protein-residue pairs mentioned in the text. We finally present an approach to automated construction of relevant training and test data using the distant supervision model. The performance of the method was assessed by extracting protein-residue relations from a new automatically generated test set of sentences containing high confidence examples found using distant supervision. It achieved a F-measure of 0.84 on automatically created silver corpus and 0.79 on a manually annotated gold data set for this task, outperforming previous methods. The primary contributions of this work are to (1) demonstrate the effectiveness of distant supervision for automatic creation of training data for protein-residue relation extraction, substantially reducing the effort and time involved in manual annotation of a data set and (2) show that the graph-based relation extraction approach we used generalizes well to the problem of protein-residue association extraction. This work paves the way towards effective extraction of protein functional residues from the literature.

  3. Supervision in Motivational Interviewing: An Exploratory Study.

    Science.gov (United States)

    Beckman, Maria; Bohman, Benjamin; Forsberg, Lars; Rasmussen, Finn; Ghaderi, Ata

    2017-07-01

    Although supervision is believed to be an important strategy for training practitioners in evidence-based practice, little is known about how it should be organized and conducted to promote implementation fidelity. To explore supervisor behaviours that might facilitate supervisees' proficiency in motivational interviewing. In this exploratory study, ten supervisors from a primary prevention intervention of childhood obesity responded to semi-structured interviews about their supervision behaviours. A mixed method approach was used; both qualitative and quantitative data were collected and analysed. The supervisors reported using several sources of information for evaluating and providing systematic feedback on supervisees' performance. However, the majority did not use the available objective measures of proficiency as the primary source. Moreover, half of the supervisors argued that objective feedback might have a punishing effect on the supervisees. Variation in the use of supervision components that previous research has proposed to be potentially influential to the process and outcome may lead to less efficient supervision. Findings suggest that appropriate supervision activities conducted in each supervision session require clear supervision principles that specify the content and procedure of the supervision, as well as regular adherence monitoring of the supervision sessions.

  4. A walking programme and a supervised exercise class versus usual physiotherapy for chronic low back pain: a single-blinded randomised controlled trial. (The Supervised Walking In comparison to Fitness Training for Back Pain (SWIFT) Trial)

    Science.gov (United States)

    Hurley, Deirdre A; O'Donoghue, Grainne; Tully, Mark A; Moffett, Jennifer Klaber; van Mechelen, Willem; Daly, Leslie; Boreham, Colin AG; McDonough, Suzanne M

    2009-01-01

    Background Chronic low back pain (CLBP) is a persistent disabling condition with rising significant healthcare, social and economic costs. Current research supports the use of exercise-based treatment approaches that encourage people with CLBP to assume a physically active role in their recovery. While international clinical guidelines and systematic reviews for CLBP support supervised group exercise as an attractive first-line option for treating large numbers of CLBP patients at low cost, barriers to their delivery include space and time restrictions in healthcare settings and poor patient attendance. The European Clinical Guidelines have identified the need for research in the use of brief/minimal contact self-activation interventions that encourage participation in physical activity for CLBP. Walking may be an ideally suited form of individualized exercise prescription as it is easy to do, requires no special skills or facilities, and is achievable by virtually all ages with little risk of injury, but its effectiveness for LBP is unproven. Methods and design This study will be an assessor-blinded randomized controlled trial that will investigate the difference in clinical effectiveness and costs of an individualized walking programme and a supervised general exercise programme compared to usual physiotherapy, which will act as the control group, in people with chronic low back pain. A sample of 246 patients will be recruited in Dublin, Ireland through acute general hospital outpatient physiotherapy departments that provide treatment for people with CLBP. Patients will be randomly allocated to one of the three groups in a concealed manner. The main outcomes will be functional disability, pain, quality of life, fear avoidance, back beliefs, physical activity, satisfaction and costs, which will be evaluated at baseline, and 3, 6 and 12 months [follow-up by pre-paid postage]. Qualitative telephone interviews and focus groups will be embedded in the research design

  5. A walking programme and a supervised exercise class versus usual physiotherapy for chronic low back pain: a single-blinded randomised controlled trial. (The Supervised Walking In comparison to Fitness Training for Back Pain (SWIFT) Trial).

    Science.gov (United States)

    Hurley, Deirdre A; O'Donoghue, Grainne; Tully, Mark A; Moffett, Jennifer Klaber; van Mechelen, Willem; Daly, Leslie; Boreham, Colin Ag; McDonough, Suzanne M

    2009-07-02

    Chronic low back pain (CLBP) is a persistent disabling condition with rising significant healthcare, social and economic costs. Current research supports the use of exercise-based treatment approaches that encourage people with CLBP to assume a physically active role in their recovery. While international clinical guidelines and systematic reviews for CLBP support supervised group exercise as an attractive first-line option for treating large numbers of CLBP patients at low cost, barriers to their delivery include space and time restrictions in healthcare settings and poor patient attendance. The European Clinical Guidelines have identified the need for research in the use of brief/minimal contact self-activation interventions that encourage participation in physical activity for CLBP. Walking may be an ideally suited form of individualized exercise prescription as it is easy to do, requires no special skills or facilities, and is achievable by virtually all ages with little risk of injury, but its effectiveness for LBP is unproven. This study will be an assessor-blinded randomized controlled trial that will investigate the difference in clinical effectiveness and costs of an individualized walking programme and a supervised general exercise programme compared to usual physiotherapy, which will act as the control group, in people with chronic low back pain. A sample of 246 patients will be recruited in Dublin, Ireland through acute general hospital outpatient physiotherapy departments that provide treatment for people with CLBP. Patients will be randomly allocated to one of the three groups in a concealed manner. The main outcomes will be functional disability, pain, quality of life, fear avoidance, back beliefs, physical activity, satisfaction and costs, which will be evaluated at baseline, and 3, 6 and 12 months [follow-up by pre-paid postage]. Qualitative telephone interviews and focus groups will be embedded in the research design to obtain feedback about

  6. A walking programme and a supervised exercise class versus usual physiotherapy for chronic low back pain: a single-blinded randomised controlled trial. (The Supervised Walking In comparison to Fitness Training for Back Pain (SWIFT) Trial).

    LENUS (Irish Health Repository)

    Hurley, Deirdre A

    2009-01-01

    BACKGROUND: Chronic low back pain (CLBP) is a persistent disabling condition with rising significant healthcare, social and economic costs. Current research supports the use of exercise-based treatment approaches that encourage people with CLBP to assume a physically active role in their recovery. While international clinical guidelines and systematic reviews for CLBP support supervised group exercise as an attractive first-line option for treating large numbers of CLBP patients at low cost, barriers to their delivery include space and time restrictions in healthcare settings and poor patient attendance. The European Clinical Guidelines have identified the need for research in the use of brief\\/minimal contact self-activation interventions that encourage participation in physical activity for CLBP. Walking may be an ideally suited form of individualized exercise prescription as it is easy to do, requires no special skills or facilities, and is achievable by virtually all ages with little risk of injury, but its effectiveness for LBP is unproven. METHODS AND DESIGN: This study will be an assessor-blinded randomized controlled trial that will investigate the difference in clinical effectiveness and costs of an individualized walking programme and a supervised general exercise programme compared to usual physiotherapy, which will act as the control group, in people with chronic low back pain. A sample of 246 patients will be recruited in Dublin, Ireland through acute general hospital outpatient physiotherapy departments that provide treatment for people with CLBP. Patients will be randomly allocated to one of the three groups in a concealed manner. The main outcomes will be functional disability, pain, quality of life, fear avoidance, back beliefs, physical activity, satisfaction and costs, which will be evaluated at baseline, and 3, 6 and 12 months [follow-up by pre-paid postage]. Qualitative telephone interviews and focus groups will be embedded in the research

  7. Direct Supervision in Outpatient Psychiatric Graduate Medical Education.

    Science.gov (United States)

    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.

  8. Extra-curricular supervised training at an academic hospital: is 200 hours the threshold for medical students to perform well in an emergency room?

    Science.gov (United States)

    Abreu-Reis, Phillipe; Oliveira, Guilherme Czelusniak; Curtarelli de Oliveira, Arthur; Sadique, Hammad; Nasr, Adonis; Saavedra Tomasich, Flávio Daniel

    2012-08-22

    Due to high number of jobs in Emergency Medicine (EM) and the lack of specialist to work in this field, recent graduates work in the emergency room straight after medical school. Additional courses on EM are available through Academic Leagues. This organizations offer lectures and supervised extra-curricular practical activities in their teaching university-affiliated hospital. The objectives of the present study are to assess the influence of hours undertaken in the extra-curricular practical activities on the performance and confidence of students in carrying out the different procedures in the emergency department, and on their own perception of how well they did. Also, to assess the influence the practical activities have on student´s future choice of specialty. A Cross-sectional study conducted by collecting data through a questionnaire. 102 eligible individuals were included and divided into two groups according to the number of extra-curricular hours performed (Group 1- up to 200 hours and Group 2- over 200 hours). Students in Group 2 (over 200 hours) had a greater number of procedures performed on all variables evaluated, in particular, initial patient care (mean 363.8 vs.136.905 in Group 1 - p = 0.001), Simple Sutures (mean of 96.2 vs 33.980 respectively) ( p = 0.00003). To determine patient follow-up by the student, the number of initial patient care was correlated with number of discharge procedures performed (in Group 1, 49.6% of patients were not followed up and discharged by the same students who first talked to them in the hospital. While in Group 2, this value becomes 29.4 % - values for Group 1 - p = 0.011 and Group 2 - p = 0.117). Regarding the influence of the practical extra-curricular activities, 76.5% of the total reported that it had influenced their choice of future specialty. The aptitude, confidence and skill of students are closely linked to the practice time (number of training hours served). Two hundred hours appeared to be a

  9. Extra-curricular supervised training at an academic hospital: is 200 hours the threshold for medical students to perform well in an emergency room?

    Directory of Open Access Journals (Sweden)

    Abreu-Reis Phillipe

    2012-08-01

    Full Text Available Abstract Introduction Due to high number of jobs in Emergency Medicine (EM and the lack of specialist to work in this field, recent graduates work in the emergency room straight after medical school. Additional courses on EM are available through Academic Leagues. This organizations offer lectures and supervised extra-curricular practical activities in their teaching university-affiliated hospital. The objectives of the present study are to assess the influence of hours undertaken in the extra-curricular practical activities on the performance and confidence of students in carrying out the different procedures in the emergency department, and on their own perception of how well they did. Also, to assess the influence the practical activities have on student´s future choice of specialty. Methods A Cross-sectional study conducted by collecting data through a questionnaire. 102 eligible individuals were included and divided into two groups according to the number of extra-curricular hours performed (Group 1- up to 200 hours and Group 2- over 200 hours. Results Students in Group 2 (over 200 hours had a greater number of procedures performed on all variables evaluated, in particular, initial patient care (mean 363.8 vs.136.905 in Group 1 - p = 0.001, Simple Sutures (mean of 96.2 vs 33.980 respectively ( p = 0.00003. To determine patient follow-up by the student, the number of initial patient care was correlated with number of discharge procedures performed (in Group 1, 49.6% of patients were not followed up and discharged by the same students who first talked to them in the hospital. While in Group 2, this value becomes 29.4 % - values for Group 1 - p = 0.011 and Group 2 - p = 0.117. Regarding the influence of the practical extra-curricular activities, 76.5% of the total reported that it had influenced their choice of future specialty. Conclusions The aptitude, confidence and skill of students are closely linked to the practice time (number of

  10. Effects of Supervised Structured Aerobic Exercise Training Program on Interleukin-6, Nitric Oxide Synthase-1, and Cyclooxygenase-2 in Type 2 Diabetes Mellitus.

    Science.gov (United States)

    Karimi, Hossein; Rehman, Syed Shakil Ur; Gillani, Syed Amir

    2017-06-01

    To determine the effects of supervised structured aerobic exercise training (SSAET) program on interleukin-6 (IL-6), nitric oxide synthase 1 (NOS-1), and cyclooxygenase-2 (COX-2) in type 2 diabetes mellitus (T2DM). Randomized controlled trial. Riphah Rehabilitation and Research Centre, Railways General Hospital, Rawalpindi, from January 2015 to June 2016. Patients of either gender of minimum one year history of T2DM ranging from 40-70 years of age were included. Those with chronic systemic diseases, history of regular exercise, smoking, and those on dietary plan were excluded. Atotal of 195 patients were screened; 120 were selected and 102 agreed to participate in the study. They were randomly placed into experimental and control groups. SSAETprogram, routine medication, and dietary plan were applied in experimental group; whereas, control group was managed with routine medication and dietary plan for 25 weeks. IL-6, NOS-1, and COX-2 were assessed at baseline and 25 weeks. SSAET program, routine medication and dietary plan showed significantly improved IL-6 (pre-mean=0.25 ±0.11ng/ml, post-mean=0.19 ±0.04 ng/ml), NOS-1 (pre-median=4.65 ng/ml, IQ range=1.04 ng/ml), (post-median=2.72 ng/ml, IQ range=1.60 ng/ml), and COX-2 (pre-mean=18.72 ±4.42 ng/ml, post-mean=15.18 ±2.63 ng/ml) in experimental group, as compared with control group managed by routine medication and dietary plan, where deterioration was noted in IL-6 (pre-mean=0.23 ±0.08 ng/ml, post-mean=0.27 ±0.08 ng/ml) and COX-2 (pre-mean=18.49 ±4.56 ng/ml, postmean=19.10 ±4.76 ng/ml), while NOS-1 slight improvement (pre-mean=4.99 ng/ml, IQ range=2.67 ng/ml), (postmean=4.56 ng/ml, IQ range=3.85 ng/ml). Statistically at the baseline the p-values were not significant (p>0.05) in both experimental and control groups for IL-6, COX-2 and NOS-1; while after 25 weeks of intervention, the experimental group showed significant improvement (p<0.05) in comparison with the control group. SSAET program, routine

  11. Comparative Efficacy of Endovascular Revascularization Versus Supervised Exercise Training in Patients With Intermittent Claudication: Meta-Analysis of Randomized Controlled Trials.

    Science.gov (United States)

    Pandey, Ambarish; Banerjee, Subhash; Ngo, Christian; Mody, Purav; Marso, Steven P; Brilakis, Emmanouil S; Armstrong, Ehrin J; Giri, Jay; Bonaca, Marc P; Pradhan, Aruna; Bavry, Anthony A; Kumbhani, Dharam J

    2017-04-10

    The authors performed a meta-analysis of randomized controlled trials to compare the efficacy of initial endovascular treatment with or without supervised exercise training (SET) versus SET alone in patients with intermittent claudication. Current guidelines recommend SET as the initial treatment modality for patients with intermittent claudication, in addition to optimal medical therapy. The role of endovascular therapy as primary treatment for claudication has been controversial. The primary outcome was treadmill-measured maximal walk distance at the end of follow-up. Secondary outcomes included resting ankle brachial index (ABI) and treadmill-measured ischemic claudication distance on follow-up. Risk of revascularization or amputations was also compared. Pooled estimates of the difference in outcomes between endovascular therapy with or without SET and SET-only groups were calculated using fixed and random effects models. A total of 987 patients from 7 trials were included. In pooled analysis, compared with SET only (reference group), patients that underwent combined endovascular therapy and SET had significantly higher maximum walk distance (standardized mean difference 0.79 [95% confidence interval (CI): 0.18 to 1.39]; weighted mean difference 98.9 [95% CI: 31.4 to 166.4 feet], and lower risk of revascularization or amputation (odds ratio 0.19 [95% CI: (0.09 to 0.40]; p < 0.0001, number needed to treat = 8) over a median follow-up of 12.4 months. By contrast, revascularization was not associated with significant improvement in exercise capacity or risk of future revascularization or amputation, compared with SET alone. Follow-up ABI was significantly higher among patients that underwent endovascular therapy with or without SET as compared with SET alone. Compared with initial SET only, endovascular therapy in combination with SET is associated with significant improvement in total walking distance, ABI, and risk of future revascularization or amputation. By

  12. Nuclear safety culture and nuclear safety supervision

    International Nuclear Information System (INIS)

    Chai Jianshe

    2013-01-01

    In this paper, the author reviews systematically and summarizes up the development process and stage characteristics of nuclear safety culture, analysis the connotation and characteristics of nuclear safety culture, sums up the achievements of our country's nuclear safety supervision, dissects the challenges and problems of nuclear safety supervision. This thesis focused on the relationship between nuclear safety culture and nuclear safety supervision, they are essential differences, but there is a close relationship. Nuclear safety supervision needs to introduce some concepts of nuclear safety culture, lays emphasis on humanistic care and improves its level and efficiency. Nuclear safety supervision authorities must strengthen nuclear safety culture training, conduct the development of nuclear safety culture, make sure that nuclear safety culture can play significant roles. (author)

  13. A Supervision of Solidarity

    Science.gov (United States)

    Reynolds, Vikki

    2010-01-01

    This article illustrates an approach to therapeutic supervision informed by a philosophy of solidarity and social justice activism. Called a "Supervision of Solidarity", this approach addresses the particular challenges in the supervision of therapists who work alongside clients who are subjected to social injustice and extreme marginalization. It…

  14. Can an understanding of transactional analysis improve postgraduate clinical supervision?

    Science.gov (United States)

    Sivan, Manoj; McKimm, Judy; Held, Sam

    2011-01-01

    Clinical supervision in postgraduate medical training is vital in producing competent and safe health-care practitioners. Effective communication between supervisors and trainees at an interpersonal and professional level determines the quality of the supervision process. Transactional analysis, a theory of personality, can be used to enhance understanding of interpersonal interactions and improve the outcomes of clinical training.

  15. Optimistic semi-supervised least squares classification

    DEFF Research Database (Denmark)

    Krijthe, Jesse H.; Loog, Marco

    2017-01-01

    The goal of semi-supervised learning is to improve supervised classifiers by using additional unlabeled training examples. In this work we study a simple self-learning approach to semi-supervised learning applied to the least squares classifier. We show that a soft-label and a hard-label variant...... of self-learning can be derived by applying block coordinate descent to two related but slightly different objective functions. The resulting soft-label approach is related to an idea about dealing with missing data that dates back to the 1930s. We show that the soft-label variant typically outperforms...

  16. Effects of a "test in-train out" walking program versus supervised standard rehabilitation in chronic stroke patients: a feasibility and pilot randomized study.

    Science.gov (United States)

    Malagoni, Anna M; Cavazza, Stefano; Ferraresi, Giovanni; Grassi, Guido; Felisatti, Michele; Lamberti, Nicola; Basaglia, Nino; Manfredini, Fabio

    2016-06-01

    The loss of normal ambulatory function after stroke, besides causing disability, leads to progressive deconditioning and exposes patients to increased risk of cardiovascular diseases and recurrent stroke. Conventional rehabilitation is mainly limited to the subacute period after stroke. Effective, safe and sustainable interventions for patients and healthcare system, including the long-term, should be identified. To verify the feasibility, safety and preliminary efficacy of an original home-based rehabilitation model compared to a standard supervised program in chronic hemiplegic stroke survivors. Pilot, two-arm, parallel group, randomized, controlled clinical trial. Community-dwelling poststroke patient/Hospital. Twelve chronic hemiplegic stroke patients (age=66.5±11.9 years, males, N.=9). Participants were randomly assigned for a 10-week period to a structured home-based exercise program (N.=6) and a standard supervised group-setting program (N.=6). The feasibility outcomes included adherence to interventions, retention rate and safety. Satisfaction was also evaluated by the Client Satisfaction Questionnaire. Efficacy was assessed by the 6-minute walk test, Timed Up and Go and Stair Climb tests. The impact on Quality-of-life was estimated using the physical activity domain of the Short Form-36 questionnaire. Operators' time consuming was also calculated. Adherence was 91% in the home-based exercise group and 92% in the standard supervised group. The retention rate was 100%, with no adverse events reported and high satisfaction scores for both interventions. 6-minute walk test and physical activity domain significantly increased in both groups (P=0.03). Timed Up and Go improved in both groups, significantly for the home-based exercise group (P=0.03) while Stair Climb remained stable. Time required to operators to implement the home-based exercise program was 15 hours vs. 30 hours for the standard supervised one. In a sample of hemiplegic chronic stroke patients

  17. Effect of supervised structured aerobic exercise training program of interleukin-6, nitric oxide synthase-1, and cyclooxygenase-2 in type 2 diabetes mellitus

    International Nuclear Information System (INIS)

    Karimi, H.; Gillani, S.A.; Rehman, S.S.U.

    2017-01-01

    To determine the effects of supervised structured aerobic exercise training (SSAET) program on interleukin-6 (IL-6), nitric oxide synthase 1 (NOS-1), and cyclooxygenase-2 (COX-2) in type 2 diabetes mellitus (T2DM). Study Design: Randomized controlled trial. Place and Duration of Study: Riphah Rehabilitation and Research Centre, Railways General Hospital, Rawalpindi, from January 2015 to June 2016. Methodology: Patients of either gender of minimum one year history of T2DM ranging from 40-70 years of age were included. Those with chronic systemic diseases, history of regular exercise, smoking, and those on dietary plan were excluded. A total of 195 patients were screened; 120 were selected and 102 agreed to participate in the study. They were randomly placed into experimental and control groups. SSAET program, routine medication, and dietary plan were applied in experimental group; whereas, control group was managed with routine medication and dietary plan for 25 weeks. IL-6, NOS-1, and COX-2 were assessed at baseline and 25 weeks. Results: SSAET program, routine medication and dietary plan showed significantly improved IL-6 (pre-mean=0.25 +-0.11ng/ml, post-mean=0.19 +-0.04 ng/ml), NOS-1 (pre-median=4.65 ng/ml, IQ range=1.04 ng/ml), (post-median=2.72 ng/ml, IQ range=1.60 ng/ml), and COX-2 (pre-mean=18.72 +-4.42 ng/ml, post-mean=15.18 +-2.63 ng/ml) in experimental group, as compared with control group managed by routine medication and dietary plan, where deterioration was noted in IL-6 (pre-mean=0.23 +-0.08 ng/ml, post-mean=0.27 +-0.08 ng/ml) and COX-2 (pre-mean=18.49 +-4.56 ng/ml, post-mean=19.10 +-4.76 ng/ml), while NOS-1 slight improvement (pre-mean=4.99 ng/ml, IQ range=2.67 ng/ml), (post-mean=4.56 ng/ml, IQ range=3.85 ng/ml). Statistically at the baseline the p-values were not significant (p>0.05) in both experimental and control groups for IL-6, COX-2 and NOS-1; while after 25 weeks of intervention, the experimental group showed significant improvement (p<0

  18. Extra-curricular supervised training at an academic hospital: is 200 hours the threshold for medical students to perform well in an emergency room?

    OpenAIRE

    Abreu-Reis, Phillipe; Oliveira, Guilherme Czelusniak; Curtarelli de Oliveira, Arthur; Sadique, Hammad; Nasr, Adonis; Saavedra Tomasich, Flávio Daniel

    2012-01-01

    Abstract Introduction Due to high number of jobs in Emergency Medicine (EM) and the lack of specialist to work in this field, recent graduates work in the emergency room straight after medical school. Additional courses on EM are available through Academic Leagues. This organizations offer lectures and supervised extra-curricular practical activities in their teaching university-affiliated hospital. The objectives of the present study are to assess the influence of hours undertaken in the ext...

  19. SemiBoost: boosting for semi-supervised learning.

    Science.gov (United States)

    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.

  20. Robust head pose estimation via supervised manifold learning.

    Science.gov (United States)

    Wang, Chao; Song, Xubo

    2014-05-01

    Head poses can be automatically estimated using manifold learning algorithms, with the assumption that with the pose being the only variable, the face images should lie in a smooth and low-dimensional manifold. However, this estimation approach is challenging due to other appearance variations related to identity, head location in image, background clutter, facial expression, and illumination. To address the problem, we propose to incorporate supervised information (pose angles of training samples) into the process of manifold learning. The process has three stages: neighborhood construction, graph weight computation and projection learning. For the first two stages, we redefine inter-point distance for neighborhood construction as well as graph weight by constraining them with the pose angle information. For Stage 3, we present a supervised neighborhood-based linear feature transformation algorithm to keep the data points with similar pose angles close together but the data points with dissimilar pose angles far apart. The experimental results show that our method has higher estimation accuracy than the other state-of-art algorithms and is robust to identity and illumination variations. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Projected estimators for robust semi-supervised classification

    DEFF Research Database (Denmark)

    Krijthe, Jesse H.; Loog, Marco

    2017-01-01

    For semi-supervised techniques to be applied safely in practice we at least want methods to outperform their supervised counterparts. We study this question for classification using the well-known quadratic surrogate loss function. Unlike other approaches to semi-supervised learning, the procedure...... proposed in this work does not rely on assumptions that are not intrinsic to the classifier at hand. Using a projection of the supervised estimate onto a set of constraints imposed by the unlabeled data, we find we can safely improve over the supervised solution in terms of this quadratic loss. More...... specifically, we prove that, measured on the labeled and unlabeled training data, this semi-supervised procedure never gives a lower quadratic loss than the supervised alternative. To our knowledge this is the first approach that offers such strong, albeit conservative, guarantees for improvement over...

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

    Science.gov (United States)

    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.

  3. A supervisão na formação do analista e do psicoterapeuta psicanalítico The supervision in the training of psychoanalytical psychotherapist

    Directory of Open Access Journals (Sweden)

    Lisiane Alvim Saraiva

    2007-12-01

    Full Text Available Este artigo consiste na revisão sistemática da literatura brasileira sobre supervisão em psicanálise e psicoterapia psicanalítica, em periódicos científicos referenciados entre 2001 e 2006 nas bases de dados eletrônicas Lilacs, Scielo, Pepsic e Indexpsi, e localizada a partir do descritor supervisão psic$. A busca resultou em 64 artigos, posteriormente reduzidos para 13, em função de criteriosa leitura e descarte daqueles que não abordavam diretamente o tema. Os treze artigos foram lidos novamente e submetidos à análise de conteúdo, configurando 11 categorias de discussão. Concluiu-se que: poucos estudos que tratam do tema da supervisão assumem o formato de pesquisas empíricas; artigos não discutem os passos que supervisor e supervisionando devem seguir para atingir os objetivos desejados; as patologias na atualidade são discutidas, mas não há sugestões de mudanças na técnica e na estratégia da supervisão; poucos artigos trazem como foco o aspecto controle da supervisão; artigos com exemplos de casos não mencionam consentimento informado do paciente.The present paper is a systematic review of the Brazilian literature regarding supervision in psychoanalysis and psychoanalytical psychotherapy, in scientific journals indexed between 2001 and 2006 in the electronic databases Lilacs, Scielo, Pepsic, Indexpsi. The descriptor supervisão psic$ led to 64 articles which were reduced for 13, after a careful examination that disregarded those in which the theme was not approached directly. The articles were reread and categorized per content analysis method. Eleven categories of discussion emerged. Results show: few studies that focused supervision were empirical researches; articles do not mention the steps that supervisor and supervisee need to follow to reach the desirable objectives; new pathologies are mentioned but there are no suggestions about technical changes in supervision strategies to deal with them; few articles

  4. EMS Response to Mass Casualty Incidents: The Critical Importance of Automatic Statewide Mutual Aid and MCI Training

    Science.gov (United States)

    2008-09-01

    rescue dummies and live individuals) that were placed at the Amphitheatre.61 Upon explosion of the bomb and radiological dispersal device from concert...automatic mutual aid organization serving the state of Illinois and singed on jurisdictions within Wisconsin, Indiana, and Missouri and several cities

  5. Good supervision and PBL

    DEFF Research Database (Denmark)

    Otrel-Cass, Kathrin

    This field study was conducted at the Faculty of Social Sciences at Aalborg University with the intention to investigate how students reflect on their experiences with supervision in a PBL environment. The overall aim of this study was to inform about the continued work in strengthening supervision...

  6. Forskellighed i supervision

    DEFF Research Database (Denmark)

    Petersen, Birgitte; Beck, Emma

    2009-01-01

    Indtryk og tendenser fra den anden danske konference om supervision, som blev holdt på Københavns Universitet i oktober 2008......Indtryk og tendenser fra den anden danske konference om supervision, som blev holdt på Københavns Universitet i oktober 2008...

  7. Networks of Professional Supervision

    Science.gov (United States)

    Annan, Jean; Ryba, Ken

    2013-01-01

    An ecological analysis of the supervisory activity of 31 New Zealand school psychologists examined simultaneously the theories of school psychology, supervision practices, and the contextual qualities that mediated participants' supervisory actions. The findings indicated that the school psychologists worked to achieve the supervision goals of…

  8. Partially supervised speaker clustering.

    Science.gov (United States)

    Tang, Hao; Chu, Stephen Mingyu; Hasegawa-Johnson, Mark; Huang, Thomas S

    2012-05-01

    Content-based multimedia indexing, retrieval, and processing as well as multimedia databases demand the structuring of the media content (image, audio, video, text, etc.), one significant goal being to associate the identity of the content to the individual segments of the signals. In this paper, we specifically address the problem of speaker clustering, the task of assigning every speech utterance in an audio stream to its speaker. We offer a complete treatment to the idea of partially supervised speaker clustering, which refers to the use of our prior knowledge of speakers in general to assist the unsupervised speaker clustering process. By means of an independent training data set, we encode the prior knowledge at the various stages of the speaker clustering pipeline via 1) learning a speaker-discriminative acoustic feature transformation, 2) learning a universal speaker prior model, and 3) learning a discriminative speaker subspace, or equivalently, a speaker-discriminative distance metric. We study the directional scattering property of the Gaussian mixture model (GMM) mean supervector representation of utterances in the high-dimensional space, and advocate exploiting this property by using the cosine distance metric instead of the euclidean distance metric for speaker clustering in the GMM mean supervector space. We propose to perform discriminant analysis based on the cosine distance metric, which leads to a novel distance metric learning algorithm—linear spherical discriminant analysis (LSDA). We show that the proposed LSDA formulation can be systematically solved within the elegant graph embedding general dimensionality reduction framework. Our speaker clustering experiments on the GALE database clearly indicate that 1) our speaker clustering methods based on the GMM mean supervector representation and vector-based distance metrics outperform traditional speaker clustering methods based on the “bag of acoustic features” representation and statistical

  9. Automatically extracting information needs from complex clinical questions.

    Science.gov (United States)

    Cao, Yong-gang; Cimino, James J; Ely, John; Yu, Hong

    2010-12-01

    Clinicians pose complex clinical questions when seeing patients, and identifying the answers to those questions in a timely manner helps improve the quality of patient care. We report here on two natural language processing models, namely, automatic topic assignment and keyword identification, that together automatically and effectively extract information needs from ad hoc clinical questions. Our study is motivated in the context of developing the larger clinical question answering system AskHERMES (Help clinicians to Extract and aRrticulate Multimedia information for answering clinical quEstionS). We developed supervised machine-learning systems to automatically assign predefined general categories (e.g. etiology, procedure, and diagnosis) to a question. We also explored both supervised and unsupervised systems to automatically identify keywords that capture the main content of the question. We evaluated our systems on 4654 annotated clinical questions that were collected in practice. We achieved an F1 score of 76.0% for the task of general topic classification and 58.0% for keyword extraction. Our systems have been implemented into the larger question answering system AskHERMES. Our error analyses suggested that inconsistent annotation in our training data have hurt both question analysis tasks. Our systems, available at http://www.askhermes.org, can automatically extract information needs from both short (the number of word tokens 20), and from both well-structured and ill-formed questions. We speculate that the performance of general topic classification and keyword extraction can be further improved if consistently annotated data are made available. Copyright © 2010 Elsevier Inc. All rights reserved.

  10. A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance.

    Science.gov (United States)

    Ye, Cang; Yung, N C; Wang, Danwei

    2003-01-01

    Fuzzy logic systems are promising for efficient obstacle avoidance. However, it is difficult to maintain the correctness, consistency, and completeness of a fuzzy rule base constructed and tuned by a human expert. A reinforcement learning method is capable of learning the fuzzy rules automatically. However, it incurs a heavy learning phase and may result in an insufficiently learned rule base due to the curse of dimensionality. In this paper, we propose a neural fuzzy system with mixed coarse learning and fine learning phases. In the first phase, a supervised learning method is used to determine the membership functions for input and output variables simultaneously. After sufficient training, fine learning is applied which employs reinforcement learning algorithm to fine-tune the membership functions for output variables. For sufficient learning, a new learning method using a modification of Sutton and Barto's model is proposed to strengthen the exploration. Through this two-step tuning approach, the mobile robot is able to perform collision-free navigation. To deal with the difficulty of acquiring a large amount of training data with high consistency for supervised learning, we develop a virtual environment (VE) simulator, which is able to provide desktop virtual environment (DVE) and immersive virtual environment (IVE) visualization. Through operating a mobile robot in the virtual environment (DVE/IVE) by a skilled human operator, training data are readily obtained and used to train the neural fuzzy system.

  11. Semi-supervised sparse coding

    KAUST Repository

    Wang, Jim Jing-Yan

    2014-07-06

    Sparse coding approximates the data sample as a sparse linear combination of some basic codewords and uses the sparse codes as new presentations. In this paper, we investigate learning discriminative sparse codes by sparse coding in a semi-supervised manner, where only a few training samples are labeled. By using the manifold structure spanned by the data set of both labeled and unlabeled samples and the constraints provided by the labels of the labeled samples, we learn the variable class labels for all the samples. Furthermore, to improve the discriminative ability of the learned sparse codes, we assume that the class labels could be predicted from the sparse codes directly using a linear classifier. By solving the codebook, sparse codes, class labels and classifier parameters simultaneously in a unified objective function, we develop a semi-supervised sparse coding algorithm. Experiments on two real-world pattern recognition problems demonstrate the advantage of the proposed methods over supervised sparse coding methods on partially labeled data sets.

  12. Supervision som undervisningsform i voksenspecialundervisningen

    DEFF Research Database (Denmark)

    Kristensen, René

    2000-01-01

    Supervision som undervisningsform i voksenspecialundervisningen. Procesarbejde i undervisning af voksne.......Supervision som undervisningsform i voksenspecialundervisningen. Procesarbejde i undervisning af voksne....

  13. Supervision to Enhance Educational and Vocational Guidance Practice: A Review

    Science.gov (United States)

    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…

  14. Improving Semi-Supervised Learning with Auxiliary Deep Generative Models

    DEFF Research Database (Denmark)

    Maaløe, Lars; Sønderby, Casper Kaae; Sønderby, Søren Kaae

    expressive for semi-supervised learning. By utilizing the stochasticity of the auxiliary variable we demonstrate how to train discriminative classifiers resulting in state-of-the-art performance within semi-supervised learning exemplified by an 0.96% error on MNIST using 100 labeled data points. Furthermore...

  15. Researching online supervision

    DEFF Research Database (Denmark)

    Bengtsen, Søren S. E.; Mathiasen, Helle

    2014-01-01

    Online supervision and the use of digital media in supervisory dialogues is a fast increasing practice in higher education today. However, the concepts in our pedagogical repertoire often reflect the digital tools used for supervision purposes as either a prolongation of the face-to-face contact......, or a poor substitution of such. This one-sidedness on the conceptual level makes it challenging to empirically study the deeper implications digital tools have for the supervisory dialogue. Drawing on phenomenology and systems theory we argue that we need new concepts in qualitative methodology that allow......’ methodology that makes room for new approaches to researching online supervision at the university....

  16. Supervised Convolutional Sparse Coding

    KAUST Repository

    Affara, Lama Ahmed

    2018-04-08

    Convolutional Sparse Coding (CSC) is a well-established image representation model especially suited for image restoration tasks. In this work, we extend the applicability of this model by proposing a supervised approach to convolutional sparse coding, which aims at learning discriminative dictionaries instead of purely reconstructive ones. We incorporate a supervised regularization term into the traditional unsupervised CSC objective to encourage the final dictionary elements to be discriminative. Experimental results show that using supervised convolutional learning results in two key advantages. First, we learn more semantically relevant filters in the dictionary and second, we achieve improved image reconstruction on unseen data.

  17. Towards the Development of a Comprehensive Pedagogical Framework for Pronunciation Training Based on Adapted Automatic Speech Recognition Systems

    Science.gov (United States)

    Ali, Saandia

    2016-01-01

    This paper reports on the early stages of a locally funded research and development project taking place at Rennes 2 university. It aims at developing a comprehensive pedagogical framework for pronunciation training for adult learners of English. This framework will combine a direct approach to pronunciation training (face-to-face teaching) with…

  18. Clinical Supervision for Licensure: A Consumer's Guide.

    Science.gov (United States)

    Magnuson, Sandy; Norem, Ken; Wilcoxon, S. Allen

    2002-01-01

    Graduates of counselor education programs simultaneously receive their diplomas and the challenge of obtaining requisite supervised experience in order to be licensed, certified, or registered. This article features recommendations to assist counselors-in-training and entry-level, prelicensed counselors in (a) planning for postgraduate supervision…

  19. Magazine Picture Collage in Group Supervision

    Science.gov (United States)

    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…

  20. A Self-Management Model for Supervision.

    Science.gov (United States)

    Keller, James F.; Protinsky, Howard

    1984-01-01

    Presents a management-of-self model of supervision for graduate training in marriage and family therapy. Suggests that as the supervisee comes to understand how family of origin and family constellation patterns are reenacted within the therapeutic context, he/she can then interrupt those patterns of interaction that inhibit effectiveness. (JAC)

  1. multiscale smoothing in supervised statistical learning

    Indian Academy of Sciences (India)

    Examples of supervised learning. Diabetes data : Measurements are taken on fasting plasma glucose ... and uses the training data to estimate its parameters. Linear Discriminant Analysis (LDA). Quadratic Discriminant Analysis ... Standard methods for smoothing parameter selection. Maximization of the likelihood function ( ...

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

    Science.gov (United States)

    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…

  3. Psykoterapi og supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2014-01-01

    Kapitlet beskriver supervisionen funktioner i forhold til psykoterapi. Supervision af psykoterapi henviser i almindelighed til, at en psykoterapeut konsulterer en ofte mere erfaren kollega (supervisor) med henblik på drøftelse af et konkret igangværende psykoterapeutisk behandlingsforløb. Formålet...... er at fremme denne fagpersons (psykoterapeutens) faglige udvikling samt sikre kvaliteten af behandlingen.kan defineres som i. Der redegøres for, hvorfor supervision er vigtig del af psykoterapeutens profession samt vises, hvorledes supervision foruden den faglige udvikling også er vigtigt redskab i...... psykoterapiens kvalitetssikring. Efter at have drøftet nogle etiske forhold ved supervision, fremlægges endelig nogle få forskningsresultater vedr. psykoterapisupervision af danske psykologer....

  4. Supervision af psykoterapi

    DEFF Research Database (Denmark)

    SUPERVISION AF PSYKOTERAPI indtager en central position i uddannelsen og udviklingen af psykoterapeuter. Trods flere lighedspunkter med psykoterapi, undervisning og konsultation er psykoterapisupervision et selvstændigt virksomhedsområde. Supervisor må foruden at være en trænet psykoterapeut kende...... supervisionens rammer og indplacering i forhold til organisation og samfund. En række kapitler drejer sig om supervisors opgaver, roller og kontrolfunktion, supervision set fra supervisandens perspektiv samt betragtninger over relationer og processer i supervision. Der drøftes fordele og ulemper ved de...... forskellige måder, hvorpå en sag kan fremlægges. Bogens første del afsluttes med refleksioner over de etiske aspekter ved psykoterapisupervision. Bogens anden del handler om de særlige forhold, der gør sig gældende ved supervision af en række specialiserede behandlingsformer eller af psykoterapi med bestemte...

  5. Mechanical muscle function and lean body mass during supervised strength training and testosterone therapy in aging men with low-normal testosterone levels

    DEFF Research Database (Denmark)

    Kvorning, Thue; Christensen, Louise L; Madsen, Klavs

    2013-01-01

    To examine the effect of strength training and testosterone therapy on mechanical muscle function and lean body mass (LBM) in aging men with low-normal testosterone levels in a randomized, double-blind, placebo-controlled 24-week study.......To examine the effect of strength training and testosterone therapy on mechanical muscle function and lean body mass (LBM) in aging men with low-normal testosterone levels in a randomized, double-blind, placebo-controlled 24-week study....

  6. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    Data fra den danske undersøgelse af psykoterapeuters faglige udvikling indsamlet ved hjælp af DPCCQ. Oplægget fokuserer på supervision (modtaget, givet, uddannelse i) blandt danske psykoterapeutiske arbejdende psykologer.......Data fra den danske undersøgelse af psykoterapeuters faglige udvikling indsamlet ved hjælp af DPCCQ. Oplægget fokuserer på supervision (modtaget, givet, uddannelse i) blandt danske psykoterapeutiske arbejdende psykologer....

  7. Ubiquitously supervised subspace learning.

    Science.gov (United States)

    Yang, Jianchao; Yan, Shuicheng; Huang, Thomas S

    2009-02-01

    In this paper, our contributions to the subspace learning problem are two-fold. We first justify that most popular subspace learning algorithms, unsupervised or supervised, can be unitedly explained as instances of a ubiquitously supervised prototype. They all essentially minimize the intraclass compactness and at the same time maximize the interclass separability, yet with specialized labeling approaches, such as ground truth, self-labeling, neighborhood propagation, and local subspace approximation. Then, enlightened by this ubiquitously supervised philosophy, we present two categories of novel algorithms for subspace learning, namely, misalignment-robust and semi-supervised subspace learning. The first category is tailored to computer vision applications for improving algorithmic robustness to image misalignments, including image translation, rotation and scaling. The second category naturally integrates the label information from both ground truth and other approaches for unsupervised algorithms. Extensive face recognition experiments on the CMU PIE and FRGC ver1.0 databases demonstrate that the misalignment-robust version algorithms consistently bring encouraging accuracy improvements over the counterparts without considering image misalignments, and also show the advantages of semi-supervised subspace learning over only supervised or unsupervised scheme.

  8. Trainees' perceptions of patient safety practices: recounting failures of supervision.

    Science.gov (United States)

    Ross, Paula T; McMyler, Eileen T; Anderson, Susan G; Saran, Kelly A; Urteaga-Fuentes, Anabel; Boothman, Richard C; Lypson, Monica L

    2011-02-01

    Ensuring that trainees receive appropriate clinical supervision is one proven method for improving patient safety outcomes. Yet, supervision is difficult to monitor, even more so during advanced levels of training. The manner in which trainees' perceived failures of supervision influenced patient safety practices across disciplines and various levels of training was investigated. A brief, open-ended questionnaire, administered to 334 newly hired interns, residents, and fellows, asked for descriptions of situations in which they witnessed a failure of supervision and their corresponding response. Of the 265 trainees completing the survey, 73 (27.5%) indicated having witnessed a failure of supervision. The analysis of these responses revealed three types of supervision failures-monitoring, guidance, and feedback. The necessity of adequate supervision and its accompanying consequences were also highlighted in the participants responses. The findings of this study identify two primary sources of failures of supervision: supervisors' failure to respond to trainees' seeking of guidance or clinical support and trainees' failure to seek such support. The findings suggest that the learning environment's influence was sufficient to cause trainees to value their appearance to superiors more than safe patient care, suggesting that trainees' feelings may supersede patients' needs and jeopardize optimal treatment. The literature on the impact of disruptive behavior on patient care may also improve understanding of how intimidating and abusive behavior stifles effective communication and trainees' ability to provide optimal patient care. Improved supervision and communication within the medical hierarchy should not only create more productive learning environments but also improve patient safety.

  9. Nursing supervision for care comprehensiveness.

    Science.gov (United States)

    Chaves, Lucieli Dias Pedreschi; Mininel, Vivian Aline; Silva, Jaqueline Alcântara Marcelino da; Alves, Larissa Roberta; Silva, Maria Ferreira da; Camelo, Silvia Helena Henriques

    2017-01-01

    To reflect on nursing supervision as a management tool for care comprehensiveness by nurses, considering its potential and limits in the current scenario. A reflective study based on discourse about nursing supervision, presenting theoretical and practical concepts and approaches. Limits on the exercise of supervision are related to the organization of healthcare services based on the functional and clinical model of care, in addition to possible gaps in the nurse training process and work overload. Regarding the potential, researchers emphasize that supervision is a tool for coordinating care and management actions, which may favor care comprehensiveness, and stimulate positive attitudes toward cooperation and contribution within teams, co-responsibility, and educational development at work. Nursing supervision may help enhance care comprehensiveness by implying continuous reflection on including the dynamics of the healthcare work process and user needs in care networks. refletir a supervisão de enfermagem como instrumento gerencial do enfermeiro para integralidade do cuidado, considerando suas potencialidades e limitações no cenário atual. estudo reflexivo baseado na formulação discursiva sobre a supervisão de enfermagem, apresentando conceitos e enfoques teóricos e/ou práticos. limitações no exercício da supervisão estão relacionadas à organização dos serviços de saúde embasada no modelo funcional e clínico de atenção, assim como possíveis lacunas no processo de formação do enfermeiro e sobrecarga de trabalho. Quanto às potencialidades, destaca-se a supervisão como instrumento de articulação de ações assistenciais e gerenciais, que pode favorecer integralidade da atenção, estimular atitudes de cooperação e colaboração em equipe, além da corresponsabilização e promoção da educação no trabalho. supervisão de enfermagem pode contribuir para fortalecimento da integralidade do cuidado, pressupondo reflexão cont

  10. Applications of supervised learning to biological signals: ECG signal quality and systemic vascular resistance.

    Science.gov (United States)

    Redmond, Stephen J; Lee, Qim Yi; Xie, Yang; Lovell, Nigel H

    2012-01-01

    Discovering information encoded in non-invasively recorded biosignals which belies an individual's well-being can help facilitate the development of low-cost unobtrusive medical device technologies, or enable the unsupervised performance of physiological assessments without excessive oversight from trained clinical personnel. Although the unobtrusive or unsupervised nature of such technologies often results in less accurate measures than their invasive or supervised counterparts, this disadvantage is typically outweighed by the ability to monitor larger populations than ever before. The expected consequential benefit will be an improvement in healthcare provision and health outcomes for all. The process of discovering indicators of health in unsupervised or unobtrusive biosignal recordings, or automatically ensuring the validity and quality of such signals, is best realized when following a proven systematic methodology. This paper provides a brief tutorial review of supervised learning, which is a sub-discipline of machine learning, and discusses its application in the development of algorithms to interpret biosignals acquired in unsupervised or semi-supervised environments, with the aim of estimating well-being. Some specific examples in the disparate application areas of telehealth electrocardiogram recording and calculating post-operative systemic vascular resistance are discussed in the context of this systematic approach for information discovery.

  11. Semi-Supervised Deep Learning for Fully Convolutional Networks

    OpenAIRE

    Baur, Christoph; Albarqouni, Shadi; Navab, Nassir

    2017-01-01

    Deep learning usually requires large amounts of labeled training data, but annotating data is costly and tedious. The framework of semi-supervised learning provides the means to use both labeled data and arbitrary amounts of unlabeled data for training. Recently, semi-supervised deep learning has been intensively studied for standard CNN architectures. However, Fully Convolutional Networks (FCNs) set the state-of-the-art for many image segmentation tasks. To the best of our knowledge, there i...

  12. Effects of an in-training assessment programme on supervision of and feedback on competencies in an undergraduate Internal Medicine clerkship

    NARCIS (Netherlands)

    Daelmans, H.E.M.; Hoogenboom, R.J.; Scherpbier, A.J.J.A.; Stehouwer, C.D.A.; van der Vleuten, C.P.M.

    2005-01-01

    Assessment drives the educational behaviour of students and supervisors. Therefore, an assessment programme targeted at specific competencies may be expected to motivate supervisors and students to pay more attention to those competencies. In-training assessment (ITA) is regarded as a feasible

  13. Automatic sequences

    CERN Document Server

    Haeseler, Friedrich

    2003-01-01

    Automatic sequences are sequences which are produced by a finite automaton. Although they are not random they may look as being random. They are complicated, in the sense of not being not ultimately periodic, they may look rather complicated, in the sense that it may not be easy to name the rule by which the sequence is generated, however there exists a rule which generates the sequence. The concept automatic sequences has special applications in algebra, number theory, finite automata and formal languages, combinatorics on words. The text deals with different aspects of automatic sequences, in particular:· a general introduction to automatic sequences· the basic (combinatorial) properties of automatic sequences· the algebraic approach to automatic sequences· geometric objects related to automatic sequences.

  14. Addition of Supervised Exercise Training to a Post-Hospital Disease Management Program for Patients Recently Hospitalized With Acute Heart Failure: The EJECTION-HF Randomized Phase 4 Trial.

    Science.gov (United States)

    Mudge, Alison M; Denaro, Charles P; Scott, Adam C; Meyers, Deborah; Adsett, Julie A; Mullins, Robert W; Suna, Jessica M; Atherton, John J; Marwick, Thomas H; Scuffham, Paul; O'Rourke, Peter

    2018-02-01

    This study sought to measure the impact on all-cause death or readmission of adding center-based exercise training (ET) to disease management programs for patients with a recent acute heart failure (HF) hospitalization. ET is recommended for patients with HF, but evidence is based mainly on ET as a single intervention in stable outpatients. A randomized, controlled trial with blinded outcome assessor, enrolling adult participants with HF discharged from 5 hospitals in Queensland, Australia. All participants received HF-disease management program plus supported home exercise program; intervention participants were offered 24 weeks of supervised center-based ET. Primary outcome was all-cause 12-month death or readmission. Pre-planned subgroups included age (40%), and exercise adherence. Between May 2008 and July 2013, 278 participants (140 intervention, 138 control) were enrolled: 98 (35.3%) age ≥70 years, 71 (25.5%) females, and 62 (23.3%) with a left ventricular ejection fraction of >40%. There were no adverse events associated with ET. There was no difference in primary outcome between groups (84 of 140 [60.0%] intervention vs. 90 of 138 [65.2%] control; p = 0.37), but a trend toward greater benefit in participants age management programs with supported home exercise in patients recently hospitalized with acute HF, but did not reduce combined end-point of death or readmission. (A supervised exercise programme following hospitalisation for heart failure: does it add to disease management?; ACTRN12608000263392). Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  15. Intelligent multivariate process supervision

    International Nuclear Information System (INIS)

    Visuri, Pertti.

    1986-01-01

    This thesis addresses the difficulties encountered in managing large amounts of data in supervisory control of complex systems. Some previous alarm and disturbance analysis concepts are reviewed and a method for improving the supervision of complex systems is presented. The method, called multivariate supervision, is based on adding low level intelligence to the process control system. By using several measured variables linked together by means of deductive logic, the system can take into account the overall state of the supervised system. Thus, it can present to the operators fewer messages with higher information content than the conventional control systems which are based on independent processing of each variable. In addition, the multivariate method contains a special information presentation concept for improving the man-machine interface. (author)

  16. Effects of non-supervised low intensity aerobic excise training on the microvascular endothelial function of patients with type 1 diabetes: a non-pharmacological interventional study

    OpenAIRE

    de Moraes, Roger; Van Bavel, Diogo; Gomes, Mar?lia de Brito; Tibiri??, Eduardo

    2016-01-01

    Background The aim of the present study was to evaluate changes in microvascular density and reactivity in patients with type 1 diabetes (T1D) resulting from low intensity chronic exercise training. Methods This study included 22 (34???7?years) consecutive outpatients with T1D and disease duration?>?6?years. We used intravital video-microscopy to measure basal skin capillary density and capillary recruitment using post-occlusive reactive hyperemia (PORH) in the dorsum of the fingers. Endothel...

  17. Supervision of financial markets

    Directory of Open Access Journals (Sweden)

    Mihai Ilie

    2016-09-01

    Full Text Available Based on the fundamental role of the market in contemporary economic development, in this study we aim to analyse how the financial markets in Romania are regulated, monitored and, especially supervised, compared to developed or developing European countries, close or far away from the national borders. The study highlights the main trends in the existing financial supervision systems abroad after the 2000s and ends with proposals based on the authors' opinion regarding the best option for the Romanian supervisory model of financial markets.

  18. Practising offender supervision: The Netherlands: COST Action IS1106 Working group 3

    OpenAIRE

    Donker, Andrea; Bosker, Jacqueline

    2012-01-01

    Review in het kader van COST Action IS1106 Working group 3 In the review below, we summarize resent empirical research about practising offender supervision in The Netherlands on six theme’s: 1. The roles, characteristics, recruitment and training of key actors in the delivery of offender supervision. 2. Interactions and relationships between key actors in the delivery of offender supervision and other relevant professionals. 3. The delivery/practice/performance of offender supervision. 4. Th...

  19. Automatic Language Identification

    Science.gov (United States)

    2000-08-01

    hundreds guish one language from another. The reader is referred of input languages would need to be supported , the cost of to the linguistics literature...eventually obtained bet- 108 TRAINING FRENCH GERMAN ITRAIING FRENCH M- ALGORITHM - __ GERMAN NHSPANISH TRAINING SPEECH SET OF MODELS: UTTERANCES ONE MODEL...i.e. vowels ) for each speech utterance are located malized to be insensitive to overall amplitude, pitch and automatically. Next, feature vectors

  20. Kontraktetablering i supervision

    DEFF Research Database (Denmark)

    Mortensen, Karen Vibeke; Jacobsen, Claus Haugaard

    2007-01-01

    Kapitlet behandler kontraktetablering i supervision, et element, der ofte er blevet negligeret eller endog helt forbigået ved indledningen af supervisionsforløb. Sikre aftaler om emner som tid, sted, procedurer for fremlæggelse, fortrolighed, ansvarsfordeling og evaluering skaber imidlertid tryghed...

  1. Supervision and group dynamics

    DEFF Research Database (Denmark)

    Hansen, Søren; Jensen, Lars Peter

    2004-01-01

     An important aspect of the problem based and project organized study at Aalborg University is the supervision of the project groups. At the basic education (first year) it is stated in the curriculum that part of the supervisors' job is to deal with group dynamics. This is due to the experience...

  2. Man-machine supervision

    International Nuclear Information System (INIS)

    Montmain, J.

    2005-01-01

    Today's complexity of systems where man is involved has led to the development of more and more sophisticated information processing systems where decision making has become more and more difficult. The operator task has moved from operation to supervision and the production tool has become indissociable from its numerical instrumentation and control system. The integration of more and more numerous and sophisticated control indicators in the control room does not necessary fulfill the expectations of the operation team. It is preferable to develop cooperative information systems which are real situation understanding aids. The stake is not the automation of operators' cognitive tasks but the supply of a reasoning help. One of the challenges of interactive information systems is the selection, organisation and dynamical display of information. The efficiency of the whole man-machine system depends on the communication interface efficiency. This article presents the principles and specificities of man-machine supervision systems: 1 - principle: operator's role in control room, operator and automation, monitoring and diagnosis, characteristics of useful models for supervision; 2 - qualitative reasoning: origin, trends, evolutions; 3 - causal reasoning: causality, causal graph representation, causal and diagnostic graph; 4 - multi-points of view reasoning: multi flow modeling method, Sagace method; 5 - approximate reasoning: the symbolic numerical interface, the multi-criteria decision; 6 - example of application: supervision in a spent-fuel reprocessing facility. (J.S.)

  3. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2011-01-01

    on giving and receiving clinical supervision as reported by therapists in Denmark. Method: Currently, the Danish sample consists of 350 clinical psychologist doing psychotherapy who completed DPCCQ. Data are currently being prepared for statistical analysis. Results: This paper will focus primarily...

  4. Etiske betragtninger ved supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Agerskov, Kirsten

    2007-01-01

    Kapitlet præsenterer nogle etiske betragtninger ved supervision. Mens der længe har eksisteret etiske retningslinjer for psykoterapeutisk arbejde, har der overraskende nok manglet tilsvarende vejledninger på supervisionsområdet. Det betyder imidlertid ikke, at de ikke er relevante. I kapitlet gøres...

  5. Fast and robust segmentation of white blood cell images by self-supervised learning.

    Science.gov (United States)

    Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo

    2018-04-01

    A fast and accurate white blood cell (WBC) segmentation remains a challenging task, as different WBCs vary significantly in color and shape due to cell type differences, staining technique variations and the adhesion between the WBC and red blood cells. In this paper, a self-supervised learning approach, consisting of unsupervised initial segmentation and supervised segmentation refinement, is presented. The first module extracts the overall foreground region from the cell image by K-means clustering, and then generates a coarse WBC region by touching-cell splitting based on concavity analysis. The second module further uses the coarse segmentation result of the first module as automatic labels to actively train a support vector machine (SVM) classifier. Then, the trained SVM classifier is further used to classify each pixel of the image and achieve a more accurate segmentation result. To improve its segmentation accuracy, median color features representing the topological structure and a new weak edge enhancement operator (WEEO) handling fuzzy boundary are introduced. To further reduce its time cost, an efficient cluster sampling strategy is also proposed. We tested the proposed approach with two blood cell image datasets obtained under various imaging and staining conditions. The experiment results show that our approach has a superior performance of accuracy and time cost on both datasets. Copyright © 2018 Elsevier Ltd. All rights reserved.

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

    Science.gov (United States)

    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.

  7. Effects of non-supervised low intensity aerobic excise training on the microvascular endothelial function of patients with type 1 diabetes: a non-pharmacological interventional study.

    Science.gov (United States)

    de Moraes, Roger; Van Bavel, Diogo; Gomes, Marília de Brito; Tibiriçá, Eduardo

    2016-01-27

    The aim of the present study was to evaluate changes in microvascular density and reactivity in patients with type 1 diabetes (T1D) resulting from low intensity chronic exercise training. This study included 22 (34 ± 7 ears) consecutive outpatients with T1D and disease duration > 6 years. We used intravital video-microscopy to measure basal skin capillary density and capillary recruitment using post-occlusive reactive hyperemia (PORH) in the dorsum of the fingers. Endothelium-dependent and -independent vasodilation of the skin microcirculation was evaluated in the forearm with a laser Doppler flow monitoring (LDF) system in combination with acetylcholine and sodium nitroprusside iontophoresis, PORH and local thermal hyperemia. The basal mean capillary density (MCD) after exercise training was significantly higher than before exercise (134 ± 25 vs. 119 ± 19 capillaries/mm(2), respectively; P = 0.0013). MCD during PORH was also higher after exercise (140 ± 26 vs. 121 ± 24 capillaries/mm(2), respectively; P < 0.0001). Endothelium-dependent capillary recruitment during PORH was also significantly higher after exercise (140 ± 26 vs. 134 ± 25 capillaries/mm(2), respectively; P < 0.0012). There were no significant changes in skin microvascular reactivity after exercise as investigated using LDF. Our results showed that low intensity aerobic exercise, performed four times per week for 12 weeks by patients with T1D, induces significant increases in microvascular density and endothelial-dependent capillary reactivity. ClinicalTrials.gov NCT02441504. Registered 7 May 2015.

  8. TU-C-17A-03: An Integrated Contour Evaluation Software Tool Using Supervised Pattern Recognition for Radiotherapy

    International Nuclear Information System (INIS)

    Chen, H; Tan, J; Kavanaugh, J; Dolly, S; Gay, H; Thorstad, W; Anastasio, M; Altman, M; Mutic, S; Li, H

    2014-01-01

    Purpose: Radiotherapy (RT) contours delineated either manually or semiautomatically require verification before clinical usage. Manual evaluation is very time consuming. A new integrated software tool using supervised pattern contour recognition was thus developed to facilitate this process. Methods: The contouring tool was developed using an object-oriented programming language C# and application programming interfaces, e.g. visualization toolkit (VTK). The C# language served as the tool design basis. The Accord.Net scientific computing libraries were utilized for the required statistical data processing and pattern recognition, while the VTK was used to build and render 3-D mesh models from critical RT structures in real-time and 360° visualization. Principal component analysis (PCA) was used for system self-updating geometry variations of normal structures based on physician-approved RT contours as a training dataset. The inhouse design of supervised PCA-based contour recognition method was used for automatically evaluating contour normality/abnormality. The function for reporting the contour evaluation results was implemented by using C# and Windows Form Designer. Results: The software input was RT simulation images and RT structures from commercial clinical treatment planning systems. Several abilities were demonstrated: automatic assessment of RT contours, file loading/saving of various modality medical images and RT contours, and generation/visualization of 3-D images and anatomical models. Moreover, it supported the 360° rendering of the RT structures in a multi-slice view, which allows physicians to visually check and edit abnormally contoured structures. Conclusion: This new software integrates the supervised learning framework with image processing and graphical visualization modules for RT contour verification. This tool has great potential for facilitating treatment planning with the assistance of an automatic contour evaluation module in avoiding

  9. An Ensemble-Based Training Data Refinement for Automatic Crop Discrimination Using WorldView-2 Imagery

    DEFF Research Database (Denmark)

    Chellasamy, Menaka; Ferre, Ty Paul; Greve, Mogens Humlekrog

    2015-01-01

    operates based on two assumptions: 1) mislabels in each class will be far from their cluster centroid and 2) each crop class based on the available vector data has more correctly labeled samples than mislabeled samples. Three datasets, derived from bitemporal WorldView-2 multispectral imagery, are used...... the multievidence classification approach. The study is implemented with WorldView-2 imagery acquired for a study area in Denmark containing 15 crop classes. The multievidence classification approach with ECRA-based refinement is compared with the classification based on common training sample selection methods...... (manual and random). It is also compared with the winner-takes-all-based classification approach. ECRA achieves an overall classification accuracy of 92.8%, which is- higher than existing common approaches....

  10. Supervised Learning for Visual Pattern Classification

    Science.gov (United States)

    Zheng, Nanning; Xue, Jianru

    This chapter presents an overview of the topics and major ideas of supervised learning for visual pattern classification. Two prevalent algorithms, i.e., the support vector machine (SVM) and the boosting algorithm, are briefly introduced. SVMs and boosting algorithms are two hot topics of recent research in supervised learning. SVMs improve the generalization of the learning machine by implementing the rule of structural risk minimization (SRM). It exhibits good generalization even when little training data are available for machine training. The boosting algorithm can boost a weak classifier to a strong classifier by means of the so-called classifier combination. This algorithm provides a general way for producing a classifier with high generalization capability from a great number of weak classifiers.

  11. Resistance to group clinical supervision

    DEFF Research Database (Denmark)

    Buus, Niels; Delgado, Cynthia; Traynor, Michael

    2018-01-01

    This present study is a report of an interview study exploring personal views on participating in group clinical supervision among mental health nursing staff members who do not participate in supervision. There is a paucity of empirical research on resistance to supervision, which has traditiona...

  12. Collective academic supervision

    DEFF Research Database (Denmark)

    Nordentoft, Helle Merete; Thomsen, Rie; Wichmann-Hansen, Gitte

    2013-01-01

    process. This article fills these gaps by discussing potentials and challenges in “Collective Academic Supervision”, a model for supervision at the Master of Education in Guidance at Aarhus University in Denmark. The pedagogical rationale behind the model is that students’ participation and learning...... are interconnected. Collective Academic Supervision provides possibilities for systematic interaction between individual master students in their writing process. In this process they learn core academic competencies, such as the ability to assess theoretical and practical problems in their practice and present them...... to peers. In sum CAS provides a practice in which a group of students and their supervisor learn by working together. Potentials for future research is to investigate the ways in which participants – both students and teachers - can be prepared for different modes of participation and, finally, how...

  13. Reflecting reflection in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    Reflection has moved from the margins to the mainstream in supervision. Notions of reflection have become well established since the late 1980s. These notions have provided useful framing devices to help conceptualize some important processes in guidance and counseling. However, some applications...... of these notions have distorted their original connotations and taken an excessively instrumentalistic and individualistic approach to their use. This paper will argue that we are, in the 2000s, seeing a questioning of an overly instrumentalistic and individualistic view of learning and development previously...... associated with reflection and an exploration of alternative conceptions that view reflection within the context of settings which have a more group- and team-based orientation. Drawing on an action research project on health care supervision, the paper questions whether we should reject earlier views...

  14. STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation.

    Science.gov (United States)

    Wei, Yunchao; Liang, Xiaodan; Chen, Yunpeng; Shen, Xiaohui; Cheng, Ming-Ming; Feng, Jiashi; Zhao, Yao; Yan, Shuicheng

    2016-12-06

    Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training such a DCNN usually relies on a large number of images with pixel-level segmentation masks, and annotating these images is very costly in terms of both finance and human effort. In this paper, we propose a simple to complex (STC) framework in which only image-level annotations are utilized to learn DCNNs for semantic segmentation. Specifically, we first train an initial segmentation network called Initial-DCNN with the saliency maps of simple images (i.e., those with a single category of major object(s) and clean background). These saliency maps can be automatically obtained by existing bottom-up salient object detection techniques, where no supervision information is needed. Then, a better network called Enhanced-DCNN is learned with supervision from the predicted segmentation masks of simple images based on the Initial-DCNN as well as the image-level annotations. Finally, more pixel-level segmentation masks of complex images (two or more categories of objects with cluttered background), which are inferred by using Enhanced-DCNN and image-level annotations, are utilized as the supervision information to learn the Powerful-DCNN for semantic segmentation. Our method utilizes 40K simple images from Flickr.com and 10K complex images from PASCAL VOC for step-wisely boosting the segmentation network. Extensive experimental results on PASCAL VOC 2012 segmentation benchmark well demonstrate the superiority of the proposed STC framework compared with other state-of-the-arts.

  15. Feature-space transformation improves supervised segmentation across scanners

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Achterberg, Hakim C.; de Bruijne, Marleen

    2015-01-01

    Image-segmentation techniques based on supervised classification generally perform well on the condition that training and test samples have the same feature distribution. However, if training and test images are acquired with different scanners or scanning parameters, their feature distributions...

  16. A neural network model which combines unsupervised and supervised learning.

    Science.gov (United States)

    Hsieh, K R; Chen, W T

    1993-01-01

    A neural network that combines unsupervised and supervised learning for pattern recognition is proposed. The network is a hierarchical self-organization map, which is trained by unsupervised learning at first. When the network fails to recognize similar patterns, supervised learning is applied to teach the network to give different scaling factors for different features so as to discriminate similar patterns. Simulation results show that the model obtains good generalization capability as well as sharp discrimination between similar patterns.

  17. Automatic Earthquake Detection by Active Learning

    Science.gov (United States)

    Bergen, K.; Beroza, G. C.

    2017-12-01

    In recent years, advances in machine learning have transformed fields such as image recognition, natural language processing and recommender systems. Many of these performance gains have relied on the availability of large, labeled data sets to train high-accuracy models; labeled data sets are those for which each sample includes a target class label, such as waveforms tagged as either earthquakes or noise. Earthquake seismologists are increasingly leveraging machine learning and data mining techniques to detect and analyze weak earthquake signals in large seismic data sets. One of the challenges in applying machine learning to seismic data sets is the limited labeled data problem; learning algorithms need to be given examples of earthquake waveforms, but the number of known events, taken from earthquake catalogs, may be insufficient to build an accurate detector. Furthermore, earthquake catalogs are known to be incomplete, resulting in training data that may be biased towards larger events and contain inaccurate labels. This challenge is compounded by the class imbalance problem; the events of interest, earthquakes, are infrequent relative to noise in continuous data sets, and many learning algorithms perform poorly on rare classes. In this work, we investigate the use of active learning for automatic earthquake detection. Active learning is a type of semi-supervised machine learning that uses a human-in-the-loop approach to strategically supplement a small initial training set. The learning algorithm incorporates domain expertise through interaction between a human expert and the algorithm, with the algorithm actively posing queries to the user to improve detection performance. We demonstrate the potential of active machine learning to improve earthquake detection performance with limited available training data.

  18. Factors influencing the perceived quality of clinical supervision of occupational therapists in a large Australian state.

    Science.gov (United States)

    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.

  19. QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms.

    Science.gov (United States)

    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.

  20. QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms

    Directory of Open Access Journals (Sweden)

    Ardjan Zwartjes

    2016-10-01

    Full Text Available 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.

  1. Supervised detection of anomalous light curves in massive astronomical catalogs

    International Nuclear Information System (INIS)

    Nun, Isadora; Pichara, Karim; Protopapas, Pavlos; Kim, Dae-Won

    2014-01-01

    The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. In order to process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new methodology to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each of the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. By leaving out one of the classes on the training set, we perform a validity test and show that when the random forest classifier attempts to classify unknown light curves (the class left out), it votes with an unusual distribution among the classes. This rare voting is detected by the Bayesian network and expressed as a low joint probability. Our method is suitable for exploring massive data sets given that the training process is performed offline. We tested our algorithm on 20 million light curves from the MACHO catalog and generated a list of anomalous candidates. After analysis, we divided the candidates into two main classes of outliers: artifacts and intrinsic outliers. Artifacts were principally due to air mass variation, seasonal variation, bad calibration, or instrumental errors and were consequently removed from our outlier list and added to the training set. After retraining, we selected about 4000 objects, which we passed to a post-analysis stage by performing a cross-match with all publicly available catalogs. Within these candidates we identified certain known

  2. Supervised Detection of Anomalous Light Curves in Massive Astronomical Catalogs

    Science.gov (United States)

    Nun, Isadora; Pichara, Karim; Protopapas, Pavlos; Kim, Dae-Won

    2014-09-01

    The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. In order to process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new methodology to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each of the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. By leaving out one of the classes on the training set, we perform a validity test and show that when the random forest classifier attempts to classify unknown light curves (the class left out), it votes with an unusual distribution among the classes. This rare voting is detected by the Bayesian network and expressed as a low joint probability. Our method is suitable for exploring massive data sets given that the training process is performed offline. We tested our algorithm on 20 million light curves from the MACHO catalog and generated a list of anomalous candidates. After analysis, we divided the candidates into two main classes of outliers: artifacts and intrinsic outliers. Artifacts were principally due to air mass variation, seasonal variation, bad calibration, or instrumental errors and were consequently removed from our outlier list and added to the training set. After retraining, we selected about 4000 objects, which we passed to a post-analysis stage by performing a cross-match with all publicly available catalogs. Within these candidates we identified certain known

  3. Automated lesion detection on MRI scans using combined unsupervised and supervised methods

    International Nuclear Information System (INIS)

    Guo, Dazhou; Fridriksson, Julius; Fillmore, Paul; Rorden, Christopher; Yu, Hongkai; Zheng, Kang; Wang, Song

    2015-01-01

    Accurate and precise detection of brain lesions on MR images (MRI) is paramount for accurately relating lesion location to impaired behavior. In this paper, we present a novel method to automatically detect brain lesions from a T1-weighted 3D MRI. The proposed method combines the advantages of both unsupervised and supervised methods. First, unsupervised methods perform a unified segmentation normalization to warp images from the native space into a standard space and to generate probability maps for different tissue types, e.g., gray matter, white matter and fluid. This allows us to construct an initial lesion probability map by comparing the normalized MRI to healthy control subjects. Then, we perform non-rigid and reversible atlas-based registration to refine the probability maps of gray matter, white matter, external CSF, ventricle, and lesions. These probability maps are combined with the normalized MRI to construct three types of features, with which we use supervised methods to train three support vector machine (SVM) classifiers for a combined classifier. Finally, the combined classifier is used to accomplish lesion detection. We tested this method using T1-weighted MRIs from 60 in-house stroke patients. Using leave-one-out cross validation, the proposed method can achieve an average Dice coefficient of 73.1 % when compared to lesion maps hand-delineated by trained neurologists. Furthermore, we tested the proposed method on the T1-weighted MRIs in the MICCAI BRATS 2012 dataset. The proposed method can achieve an average Dice coefficient of 66.5 % in comparison to the expert annotated tumor maps provided in MICCAI BRATS 2012 dataset. In addition, on these two test datasets, the proposed method shows competitive performance to three state-of-the-art methods, including Stamatakis et al., Seghier et al., and Sanjuan et al. In this paper, we introduced a novel automated procedure for lesion detection from T1-weighted MRIs by combining both an unsupervised and a

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  6. Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods

    Directory of Open Access Journals (Sweden)

    Zhiling Guo

    2016-03-01

    Full Text Available In this study, a method based on supervised machine learning is proposed to identify village buildings from open high-resolution remote sensing images. We select Google Earth (GE RGB images to perform the classification in order to examine its suitability for village mapping, and investigate the feasibility of using machine learning methods to provide automatic classification in such fields. By analyzing the characteristics of GE images, we design different features on the basis of two kinds of supervised machine learning methods for classification: adaptive boosting (AdaBoost and convolutional neural networks (CNN. To recognize village buildings via their color and texture information, the RGB color features and a large number of Haar-like features in a local window are utilized in the AdaBoost method; with multilayer trained networks based on gradient descent algorithms and back propagation, CNN perform the identification by mining deeper information from buildings and their neighborhood. Experimental results from the testing area at Savannakhet province in Laos show that our proposed AdaBoost method achieves an overall accuracy of 96.22% and the CNN method is also competitive with an overall accuracy of 96.30%.

  7. Porosity estimation by semi-supervised learning with sparsely available labeled samples

    Science.gov (United States)

    Lima, Luiz Alberto; Görnitz, Nico; Varella, Luiz Eduardo; Vellasco, Marley; Müller, Klaus-Robert; Nakajima, Shinichi

    2017-09-01

    This paper addresses the porosity estimation problem from seismic impedance volumes and porosity samples located in a small group of exploratory wells. Regression methods, trained on the impedance as inputs and the porosity as output labels, generally suffer from extremely expensive (and hence sparsely available) porosity samples. To optimally make use of the valuable porosity data, a semi-supervised machine learning method was proposed, Transductive Conditional Random Field Regression (TCRFR), showing good performance (Görnitz et al., 2017). TCRFR, however, still requires more labeled data than those usually available, which creates a gap when applying the method to the porosity estimation problem in realistic situations. In this paper, we aim to fill this gap by introducing two graph-based preprocessing techniques, which adapt the original TCRFR for extremely weakly supervised scenarios. Our new method outperforms the previous automatic estimation methods on synthetic data and provides a comparable result to the manual labored, time-consuming geostatistics approach on real data, proving its potential as a practical industrial tool.

  8. Learning Dynamics in Doctoral Supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie

    investigates learning opportunities in supervision with multiple supervisors. This was investigated through observations and recording of supervision, and subsequent analysis of transcripts. The analyses used different perspectives on learning; learning as participation, positioning theory and variation theory....... The research illuminates how learning opportunities are created in the interaction through the scientific discussions. It also shows how multiple supervisors can contribute to supervision by providing new perspectives and opinions that have a potential for creating new understandings. The combination...... of different theoretical frameworks from the perspectives of learning as individual acquisition and a sociocultural perspective on learning contributed to a nuanced illustration of the otherwise implicit practices of supervision....

  9. Group supervision for general practitioners

    DEFF Research Database (Denmark)

    Galina Nielsen, Helena; Sofie Davidsen, Annette; Dalsted, Rikke

    2013-01-01

    considered important prerequisites for disclosing and discussing professional problems. CONCLUSION: The results of this study indicate that participation in a supervision group can be beneficial for maintaining and developing GPs' skills in dealing with patients with mental health problems. Group supervision......AIM: Group supervision is a sparsely researched method for professional development in general practice. The aim of this study was to explore general practitioners' (GPs') experiences of the benefits of group supervision for improving the treatment of mental disorders. METHODS: One long...

  10. Supervision of Facilitators in a Multisite Study: Goals, Process, and Outcomes

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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.

  12. Supervision Learning as Conceptual Threshold Crossing: When Supervision Gets "Medieval"

    Science.gov (United States)

    Carter, Susan

    2016-01-01

    This article presumes that supervision is a category of teaching, and that we all "learn" how to teach better. So it enquires into what novice supervisors need to learn. An anonymised digital questionnaire sought data from supervisors [n226] on their experiences of supervision to find out what was difficult, and supervisor interviews…

  13. Public Supervision over Private Relationships : Towards European Supervision Private Law?

    NARCIS (Netherlands)

    Cherednychenko, O.O.

    2014-01-01

    The rise of public supervision over private relationships in many areas of private law has led to the development of what, in the author’s view, could be called ‘European supervision private law’. This emerging body of law forms part of European regulatory private law and is made up of

  14. Cross-Domain Semi-Supervised Learning Using Feature Formulation.

    Science.gov (United States)

    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.

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

    Science.gov (United States)

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

    2014-01-01

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

  16. A new supervised learning algorithm for spiking neurons.

    Science.gov (United States)

    Xu, Yan; Zeng, Xiaoqin; Zhong, Shuiming

    2013-06-01

    The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by the precise firing times of spikes. If only running time is considered, the supervised learning for a spiking neuron is equivalent to distinguishing the times of desired output spikes and the other time during the running process of the neuron through adjusting synaptic weights, which can be regarded as a classification problem. Based on this idea, this letter proposes a new supervised learning method for spiking neurons with temporal encoding; it first transforms the supervised learning into a classification problem and then solves the problem by using the perceptron learning rule. The experiment results show that the proposed method has higher learning accuracy and efficiency over the existing learning methods, so it is more powerful for solving complex and real-time problems.

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

    Science.gov (United States)

    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.

  18. A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction

    Science.gov (United States)

    Benvenuto, Federico; Piana, Michele; Campi, Cristina; Massone, Anna Maria

    2018-01-01

    This paper introduces a novel method for flare forecasting, combining prediction accuracy with the ability to identify the most relevant predictive variables. This result is obtained by means of a two-step approach: first, a supervised regularization method for regression, namely, LASSO is applied, where a sparsity-enhancing penalty term allows the identification of the significance with which each data feature contributes to the prediction; then, an unsupervised fuzzy clustering technique for classification, namely, Fuzzy C-Means, is applied, where the regression outcome is partitioned through the minimization of a cost function and without focusing on the optimization of a specific skill score. This approach is therefore hybrid, since it combines supervised and unsupervised learning; realizes classification in an automatic, skill-score-independent way; and provides effective prediction performances even in the case of imbalanced data sets. Its prediction power is verified against NOAA Space Weather Prediction Center data, using as a test set, data in the range between 1996 August and 2010 December and as training set, data in the range between 1988 December and 1996 June. To validate the method, we computed several skill scores typically utilized in flare prediction and compared the values provided by the hybrid approach with the ones provided by several standard (non-hybrid) machine learning methods. The results showed that the hybrid approach performs classification better than all other supervised methods and with an effectiveness comparable to the one of clustering methods; but, in addition, it provides a reliable ranking of the weights with which the data properties contribute to the forecast.

  19. A semi-supervised approach using label propagation to support citation screening.

    Science.gov (United States)

    Kontonatsios, Georgios; Brockmeier, Austin J; Przybyła, Piotr; McNaught, John; Mu, Tingting; Goulermas, John Y; Ananiadou, Sophia

    2017-08-01

    Citation screening, an integral process within systematic reviews that identifies citations relevant to the underlying research question, is a time-consuming and resource-intensive task. During the screening task, analysts manually assign a label to each citation, to designate whether a citation is eligible for inclusion in the review. Recently, several studies have explored the use of active learning in text classification to reduce the human workload involved in the screening task. However, existing approaches require a significant amount of manually labelled citations for the text classification to achieve a robust performance. In this paper, we propose a semi-supervised method that identifies relevant citations as early as possible in the screening process by exploiting the pairwise similarities between labelled and unlabelled citations to improve the classification performance without additional manual labelling effort. Our approach is based on the hypothesis that similar citations share the same label (e.g., if one citation should be included, then other similar citations should be included also). To calculate the similarity between labelled and unlabelled citations we investigate two different feature spaces, namely a bag-of-words and a spectral embedding based on the bag-of-words. The semi-supervised method propagates the classification codes of manually labelled citations to neighbouring unlabelled citations in the feature space. The automatically labelled citations are combined with the manually labelled citations to form an augmented training set. For evaluation purposes, we apply our method to reviews from clinical and public health. The results show that our semi-supervised method with label propagation achieves statistically significant improvements over two state-of-the-art active learning approaches across both clinical and public health reviews. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  20. A semi-supervised learning framework for biomedical event extraction based on hidden topics.

    Science.gov (United States)

    Zhou, Deyu; Zhong, Dayou

    2015-05-01

    Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely

  1. Accreditation to supervise research

    International Nuclear Information System (INIS)

    Mauclaire, Laurent

    2003-01-01

    After a recall of his academic research works, an indication of all his publications and of his teaching and research supervising activities, and a summary of his scientific activity, the author proposes an overview of his research works which addressed the study of radio-tracers for nuclear medicine, and the study of the 2,6 dimethyl beta cyclodextrin. These both topics are then more precisely presented and discussed. For the first one, the author notably studied iodine radiochemistry, and the elaboration of new compounds for dopamine recapturing visualization (development of radio-pharmaceutical drug marked with technetium). For the second one, the author reports the use of modified cyclodextrins for the transport of lipophilic radio-tracers

  2. Tværfaglig supervision

    DEFF Research Database (Denmark)

    Tværfaglig supervision dækker over supervision af forskellige faggrupper. Det er en kompleks disciplin der stiller store krav tl supervisor. Bogens første del præsenterer fire faglige supervisionsmodeller: En almen, en psykodynamisk, en kognitiv adfærdsterapeutisk og en narrativ. Anden del...

  3. Assessment of Counselors' Supervision Processes

    Science.gov (United States)

    Ünal, Ali; Sürücü, Abdullah; Yavuz, Mustafa

    2013-01-01

    The aim of this study is to investigate elementary and high school counselors' supervision processes and efficiency of their supervision. The interview method was used as it was thought to be better for realizing the aim of the study. The study group was composed of ten counselors who were chosen through purposeful sampling method. Data were…

  4. Group supervision for general practitioners

    DEFF Research Database (Denmark)

    Galina Nielsen, Helena; Sofie Davidsen, Annette; Dalsted, Rikke

    2013-01-01

    to the communication with local community psychiatry centres. Furthermore, the GPs experienced that supervision had a positive 'spill-over effect' on everyday consultations, and that the supervision group became a forum for coping with other difficulties in their professional life as well. Trust and continuity were...

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

    Science.gov (United States)

    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.

  6. Supervision Duty of School Principals

    Directory of Open Access Journals (Sweden)

    Kürşat YILMAZ

    2009-04-01

    Full Text Available Supervision by school administrators is becoming more and more important. The change in the roles ofschool administrators has a great effect on that increase. At present, school administrators are consideredmore than as technical directors, but as instructional leaders. This increased the importance of schooladministrators’ expected supervision acts. In this respect, the aim of this study is to make a conceptualanalysis about school administrators’ supervision duties. For this reason, a literature review related withsupervision and contemporary supervision approaches was done, and the official documents concerningsupervision were examined. As a result, it can be said that school administrators’ supervision duties havebecome very important. And these duties must certainly be carried out by school administrators.

  7. Project Supervision - An Engineering Approach

    DEFF Research Database (Denmark)

    Paulsen, Rasmus Reinhold; Larsen, Rasmus; Ersbøll, Bjarne Kjær

    2011-01-01

    For more than twenty years, a group based supervision strategy has been used when supervising engineering bachelor- and master thesis students at our research group. In recent years, we have formalised the approach and used our industry experience to create a very successful framework for project...... supervision. This paper is a best practice guide aiming at research groups that would like to try to implement our supervision approach or parts of it. The approach is based on the belief that engineering students should be prepared for their new role as development engineers or PhD students as part...... of their master thesis writing. The supervision principles are: Ownership: The student should feel that their project is their own. Ideally, they should formulate the project themselves. Write early: We strongly encourage the students to write and generate figures and images already from the first week...

  8. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments.

    Science.gov (United States)

    Han, Wenjing; Coutinho, Eduardo; Ruan, Huabin; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan

    2016-01-01

    Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances.

  9. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments

    Science.gov (United States)

    Han, Wenjing; Coutinho, Eduardo; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan

    2016-01-01

    Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances. PMID:27627768

  10. Race in Supervision: Let's Talk About It.

    Science.gov (United States)

    Schen, Cathy R; Greenlee, Alecia

    2018-01-01

    Addressing race and racial trauma within psychotherapy supervision is increasingly important in psychiatry training. A therapist's ability to discuss race and racial trauma in psychotherapy supervision increases the likelihood that these topics will be explored as they arise in the therapeutic setting. The authors discuss the contextual and sociocultural dynamics that contributed to their own avoidance of race and racial trauma within the supervisory relationship. The authors examine the features that eventually led to a robust discussion of race and culture within the supervisory setting and identify salient themes that occurred during three phases of the conversation about race: pre-dialogue, the conversation, and after the conversation. These themes include building an alliance, supercompetence, avoidance, shared vulnerability, "if I speak on this, I own it," closeness versus distance, and speaking up. This article reviews the key literature in the field of psychiatry and psychology that has shaped how we understand race and racial trauma and concludes with guidelines for supervisors on how to facilitate talking about race in supervision.

  11. Supervised quality assessment of medical image registration: application to intra-patient CT lung registration.

    Science.gov (United States)

    Muenzing, Sascha E A; van Ginneken, Bram; Murphy, Keelin; Pluim, Josien P W

    2012-12-01

    A novel method for automatic quality assessment of medical image registration is presented. The method is based on supervised learning of local alignment patterns, which are captured by statistical image features at distinctive landmark points. A two-stage classifier cascade, employing an optimal multi-feature model, classifies local alignments into three quality categories: correct, poor or wrong alignment. We establish a reference registration error set as basis for training and testing of the method. It consists of image registrations obtained from different non-rigid registration algorithms and manually established point correspondences of automatically determined landmarks. We employ a set of different classifiers and evaluate the performance of the proposed image features based on the classification performance of corresponding single-feature classifiers. Feature selection is conducted to find an optimal subset of image features and the resulting multi-feature model is validated against the set of single-feature classifiers. We consider the setup generic, however, its application is demonstrated on 51 CT follow-up scan pairs of the lung. On this data, the proposed method performs with an overall classification accuracy of 90%. Copyright © 2012 Elsevier B.V. All rights reserved.

  12. Providing live supervision via teleconferencing improves acquisition of motivational interviewing skills after workshop attendance.

    Science.gov (United States)

    Smith, Jennifer L; Amrhein, Paul C; Brooks, Adam C; Carpenter, Kenneth M; Levin, Deborah; Schreiber, Elizabeth A; Travaglini, Laura A; Nunes, Edward V

    2007-01-01

    Teleconferencing Supervision is a method for training community-based substance abuse clinicians in Motivational Interviewing (MI). Following a 2-day workshop, 13 clinicians received live supervision via telephone during 5 counseling sessions conducted at their community treatment facilities. Clinicians were assessed for skill level at post-workshop, at post-training, and 3 months later; learning was assessed using the MI Treatment Integrity instrument. All summary scores and therapist behavior frequency counts improved by post-training or by the 3 month follow-up, although some gains were not statistically significant. Teleconferencing Supervision may help facilitate the proficient use of MI community clinicians following workshop instruction.

  13. Automatic apical view classification of echocardiograms using a discriminative learning dictionary.

    Science.gov (United States)

    Khamis, Hanan; Zurakhov, Grigoriy; Azar, Vered; Raz, Adi; Friedman, Zvi; Adam, Dan

    2017-02-01

    As part of striving towards fully automatic cardiac functional assessment of echocardiograms, automatic classification of their standard views is essential as a pre-processing stage. The similarity among three of the routinely acquired longitudinal scans: apical two-chamber (A2C), apical four-chamber (A4C) and apical long-axis (ALX), and the noise commonly inherent to these scans - make the classification a challenge. Here we introduce a multi-stage classification algorithm that employs spatio-temporal feature extraction (Cuboid Detector) and supervised dictionary learning (LC-KSVD) approaches to uniquely enhance the automatic recognition and classification accuracy of echocardiograms. The algorithm incorporates both discrimination and labelling information to allow a discriminative and sparse representation of each view. The advantage of the spatio-temporal feature extraction as compared to spatial processing is then validated. A set of 309 clinical clips (103 for each view), were labeled by 2 experts. A subset of 70 clips of each class was used as a training set and the rest as a test set. The recognition accuracies achieved were: 97%, 91% and 97% of A2C, A4C and ALX respectively, with average recognition rate of 95%. Thus, automatic classification of echocardiogram views seems promising, despite the inter-view similarity between the classes and intra-view variability among clips belonging to the same class. Copyright © 2016 Elsevier B.V. All rights reserved.

  14. Local supervision of solariums

    International Nuclear Information System (INIS)

    2004-01-01

    In Norway, new regulations on radiation protection and application of radiation came into force on the first of January 2004. Local authorities may now perform the supervision of solariums. There are over 500 solar studios in Norway, with over 5000 solariums accessible to the public. An unknown number of solariums are in private homes, on workplaces, and in hotels and fitness studios. Norway currently has the highest frequency of skin cancer in Europe. The frequency of mole cancer has increased sixfold during the last 30 years, and 200 people die each year of this type of cancer. The Nordic cancer registers estimate that 95 per cent of the skin cancer incidences would have been avoided by limiting sunbathing. It is unknown how many cases are due to the use of solariums. But several studies indicate increased risk of mole cancer caused by solariums. It was found in previous inspection of 130 solariums that only 30 per cent had correct tubes and lamps. Only one solarium satisfied all the requirements of the regulations. But this has since improved. With the new regulations, all solarium businesses offering cosmetic solariums for sale, renting out or use have an obligation to submit reports to the Radiation Protection Authority

  15. The supervisions in the field develop nuclear professionals; Las supervisiones en campo desarrollan profesionales nucleares

    Energy Technology Data Exchange (ETDEWEB)

    Fernandez de la Casa, M.; Buedo, J. L.; Gonzalez, F.

    2015-07-01

    In 2011 Cofrentes Nuclear Power Plants began a training program for improving the supervision of managers in the field: the effort done not only has improved the quality of supervisions but also has defined a way to reinforce behavior expectations of Cofrentes Nuclear Power Plant. (Author)

  16. 46 CFR 109.323 - Manning of survival craft and supervision.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Manning of survival craft and supervision. 109.323... DRILLING UNITS OPERATIONS Operation and Stowage of Safety Equipment § 109.323 Manning of survival craft and supervision. (a) There must be a sufficient number of trained persons on board the survival craft for...

  17. 46 CFR 199.100 - Manning of survival craft and supervision.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Manning of survival craft and supervision. 199.100....100 Manning of survival craft and supervision. (a) There must be a sufficient number of trained... craft and launching arrangements required for abandonment by the total number of persons on board. (c...

  18. Online supervision at the university

    DEFF Research Database (Denmark)

    Bengtsen, Søren Smedegaard; Jensen, Gry Sandholm

    2015-01-01

    supervision proves unhelpful when trying to understand how online supervision and feedback is a pedagogical phenomenon in its own right, and irreducible to the face-to-face context. Secondly we show that not enough attention has been given to the way different digital tools and platforms influence...... pedagogy we forge a new concept of “format supervision” that enables supervisors to understand and reflect their supervision practice, not as caught in the physical-virtual divide, but as a choice between face-to-face and online formats that each conditions the supervisory dialogue in their own particular...

  19. Clinical supervision for clinical psychology students in Uganda: an initial qualitative exploration.

    Science.gov (United States)

    Hall, Jennifer; Kasujja, Rosco; Oakes, Peter

    2015-01-01

    Burn out in clinical psychologists working in low income countries has been reported. Clinical supervisory structures do not yet exist in Uganda. A way to decrease levels of burn out and increase quality of care for people with mental illness is through clinical supervision. The aim of this study was to explore the initial experiences of supervision for clinical psychology students in Uganda to ascertain whether or not clinical supervision is culturally appropriate, and what aspects of supervision had been helpful and unhelpful. A qualitative design with thematic analysis was utilized. A focus group was held with 12 second year clinical psychology students to ask their experiences of receiving supervision. Data analysis created five themes. Firstly, the negative emotions that resulted from the training processed were discussed, and how supervision helped and did not help the students to manage these. Secondly, the students voiced that supervision helped them to learn through observational experiences, co-therapist roles and parallel processes within the supervisory relationship. Thirdly, supervision had taught the clinical psychology students their role as a clinical psychology student, how to act within the Ugandan mental health system and skills to conduct therapy. Fourthly, suggestions for the future of supervision were given, with the students requesting for it to start earlier in the training, for supervisors who can meet with the students on a regular basis to be selected and for the training the students receive at university to match the skills required on their placements, with a request for more practical techniques rather than theory. The final theme related to left over miscellaneous data, such as the students agreeing with each other. The students stated that supervision was helpful overall, implying that clinical supervision is culturally appropriate for clinical psychology students in Uganda. Suggestions for future supervision were given. In order to

  20. 18 CFR 367.80 - Supervision and engineering.

    Science.gov (United States)

    2010-04-01

    ... departments and executing related changes. (7) General training and instruction of employees by supervisors... superintendents, engineers, clerks, other employees and consultants engaged in supervising and directing the... arrive at the amount to be included in any account, the method and basis of allocation must be reflected...

  1. Good Undergraduate Dissertation Supervision: Perspectives of Supervisors and Dissertation Coordinators

    Science.gov (United States)

    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…

  2. Generalization of Supervised Learning for Binary Mask Estimation

    DEFF Research Database (Denmark)

    May, Tobias; Gerkmann, Timo

    2014-01-01

    This paper addresses the problem of speech segregation by es- timating the ideal binary mask (IBM) from noisy speech. Two methods will be compared, one supervised learning approach that incorporates a priori knowledge about the feature distri- bution observed during training. The second method...

  3. Supervising community health workers in low-income countries – a review of impact and implementation issues

    Directory of Open Access Journals (Sweden)

    Zelee Hill

    2014-05-01

    Full Text Available Background: Community health workers (CHWs are an increasingly important component of health systems and programs. Despite the recognized role of supervision in ensuring CHWs are effective, supervision is often weak and under-supported. Little is known about what constitutes adequate supervision and how different supervision strategies influence performance, motivation, and retention. Objective: To determine the impact of supervision strategies used in low- and middle-income countries and discuss implementation and feasibility issues with a focus on CHWs. Design: A search of peer-reviewed, English language articles evaluating health provider supervision strategies was conducted through November 2013. Included articles evaluated the impact of supervision in low- or middle-income countries using a controlled, pre-/post- or observational design. Implementation and feasibility literature included both peer-reviewed and gray literature. Results: A total of 22 impact papers were identified. Papers were from a range of low- and middle-income countries addressing the supervision of a variety of health care providers. We classified interventions as testing supervision frequency, the supportive/facilitative supervision package, supervision mode (peer, group, and community, tools (self-assessment and checklists, focus (quality assurance/problem solving, and training. Outcomes included coverage, performance, and perception of quality but were not uniform across studies. Evidence suggests that improving supervision quality has a greater impact than increasing frequency of supervision alone. Supportive supervision packages, community monitoring, and quality improvement/problem-solving approaches show the most promise; however, evaluation of all strategies was weak. Conclusion: Few supervision strategies have been rigorously tested and data on CHW supervision is particularly sparse. This review highlights the diversity of supervision approaches that policy

  4. Physical isolation with virtual support: Registrars' learning via remote supervision.

    Science.gov (United States)

    Wearne, Susan M; Teunissen, Pim W; Dornan, Tim; Skinner, Timothy

    2014-08-26

    Abstract Purpose: Changing the current geographical maldistribution of the medical workforce is important for global health. Research regarding programs that train doctors for work with disadvantaged, rural populations is needed. This paper explores one approach of remote supervision of registrars in isolated rural practice. Researching how learning occurs without on-site supervision may also reveal other key elements of postgraduate education. Methods: Thematic analysis of in-depth interviews exploring 11 respondents' experiences of learning via remote supervision. Results: Remote supervision created distinctive learning environments. Respondents' attributes interacted with external supports to influence whether and how their learning was promoted or impeded. Registrars with clinical and/or life experience, who were insightful and motivated to direct their learning, turned the challenges of isolated practice into opportunities that accelerated their professional development. Discussion: Remote supervision was not necessarily problematic but instead provided rich learning for doctors training in and for the context where they were needed. Registrars learnt through clinical responsibility for defined populations and longitudinal, supportive supervisory relationships. Responsibility and continuity may be as important as supervisory proximity for experienced registrars.

  5. Learning Dynamics in Doctoral Supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie

    This doctoral research explores doctoral supervision within life science research in a Danish university. From one angle it investigates doctoral students’ experiences with strengthening the relationship with their supervisors through a structured meeting with the supervisor, prepared as part...... investigates learning opportunities in supervision with multiple supervisors. This was investigated through observations and recording of supervision, and subsequent analysis of transcripts. The analyses used different perspectives on learning; learning as participation, positioning theory and variation theory....... The research illuminates how learning opportunities are created in the interaction through the scientific discussions. It also shows how multiple supervisors can contribute to supervision by providing new perspectives and opinions that have a potential for creating new understandings. The combination...

  6. A comparative study of clinical supervision in the Republic of Ireland and the United States.

    Science.gov (United States)

    Ellis, Michael V; Creaner, Mary; Hutman, Heidi; Timulak, Ladislav

    2015-10-01

    We replicated Son, Ellis, and Yoo (2013) and extended Ellis et al.'s (2014) taxonomy of harmful and inadequate supervision by providing and testing cross-national comparative descriptive data about clinical supervision practices in the Republic of Ireland versus the United States. Participants were 149 Republic of Ireland and 151 U.S. mental health supervisees currently receiving clinical supervision. The results suggested that characteristics of supervision in the Republic of Ireland and United States evidenced both similarities and differences. The dissimilar credentialing systems appeared to account for the observed differences, suggesting that Ellis et al.'s (2014) criteria for inadequate supervision need to be modified to account for country-specific standards for supervision. Unexpectedly, no significant differences were observed between the Republic of Ireland and United States in the high occurrence of inadequate, harmful, or exceptional supervision. The results suggested that 79.2% (Republic of Ireland) and 69.5% (United States) of the supervisees were categorized as currently receiving inadequate supervision, and 40.3% (Republic of Ireland) and 25.2% (United States) of the supervisees as receiving harmful supervision. At some point in their careers, 92.4% (Republic of Ireland) and 86.4% (United States) of the supervisees received inadequate supervision--51.7% (Republic of Ireland) and 39.7% (United States) received harmful supervision. On the positive side, 51.0% (Republic of Ireland) and 55.0% (United States) of the supervisees reported receiving exceptional supervision from their current supervisors. Substantial discrepancies were observed between supervisees' perceptions versus more objective criteria of the inadequate or harmful supervision they received. Implications for cross-national supervision research and training are discussed. (c) 2015 APA, all rights reserved).

  7. Automatic genre classification of music content

    OpenAIRE

    Scaringella, N.; Zoia, G.; Mlynek, D.

    2006-01-01

    This paper reviews the state-of-the-art in automatic genre classification of music collections through three main paradigms: expert systems, unsupervised classification, and supervised classification. The paper discusses the importance of music genres with their definitions and hierarchies. It also presents techniques to extract meaningful information from audio data to characterize musical excerpts. The paper also presents the results of new emerging research fields and techniques that inves...

  8. Semi-Supervised Learning for Ill-Posed Polarimetric SAR Classification

    Directory of Open Access Journals (Sweden)

    Stefan Uhlmann

    2014-05-01

    Full Text Available In recent years, the interest in semi-supervised learning has increased, combining supervised and unsupervised learning approaches. This is especially valid for classification applications in remote sensing, while the data acquisition rate in current systems has become fairly large considering high- and very-high resolution data; yet on the other hand, the process of obtaining the ground truth data may be cumbersome for such large repositories. In this paper, we investigate the application of semi-supervised learning approaches and particularly focus on the small sample size problem. To that extend, we consider two basic unsupervised approaches by enlarging the initial labeled training set as well as an ensemble-based self-training method. We propose different strategies within self-training on how to select more reliable candidates from the pool of unlabeled samples to speed-up the learning process and to improve the classification performance of the underlying classifier ensemble. We evaluate the effectiveness of the proposed semi-supervised learning approach over polarimetric SAR data. Results show that the proposed self-training approach using an ensemble-based classifier that is initially trained over a small training set can achieve a similar performance level of a fully supervised learning approach where the training is performed over significantly larger labeled data. Considering the difficulties of the manual data labeling in such massive volumes of SAR repositories, this is indeed a promising accomplishment for semi-supervised SAR classification.

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

    Science.gov (United States)

    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

  10. Automatic face morphing for transferring facial animation

    NARCIS (Netherlands)

    Bui Huu Trung, B.H.T.; Bui, T.D.; Poel, Mannes; Heylen, Dirk K.J.; Nijholt, Antinus; Hamza, H.M.

    2003-01-01

    In this paper, we introduce a novel method of automatically finding the training set of RBF networks for morphing a prototype face to represent a new face. This is done by automatically specifying and adjusting corresponding feature points on a target face. The RBF networks are then used to transfer

  11. Clinical supervision in the provision of intensive home visiting by health visitors.

    Science.gov (United States)

    Jarrett, Patricia; Barlow, Jane

    2014-02-01

    The objective of this paper is to explore the perceptions of health visitors working in frontline child protection concerning the role of clinical supervision. Fifteen health visitors ('home visitors') providing an intensive home visiting service to high-risk families in the south east of England were interviewed about their experience of receiving supervision. The model of clinical supervision used was based on the Family Partnership Programme and delivered by two trained psychotherapists. The data were analysed using thematic analysis. Home visitors believed that clinical supervision enabled them to maintain boundaries, regulate and reflect on their practice, and develop a better understanding of the issues clients were facing. The model of supervision used and the organisational context were believed to be important factors in the delivery of clinical supervision and to have contributed to its success.

  12. 20 CFR 656.21 - Supervised recruitment.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Supervised recruitment. 656.21 Section 656.21... Supervised recruitment. (a) Supervised recruitment. Where the Certifying Officer determines it appropriate, post-filing supervised recruitment may be required of the employer for the pending application or...

  13. General collaboration offer of Johnson Controls regarding the performance of air conditioning automatic control systems and other buildings` automatic control systems

    Energy Technology Data Exchange (ETDEWEB)

    Gniazdowski, J.

    1995-12-31

    JOHNSON CONTROLS manufactures measuring and control equipment (800 types) and is as well a {open_quotes}turn-key{close_quotes} supplier of complete automatic controls systems for heating, air conditioning, ventilation and refrigerating engineering branches. The Company also supplies Buildings` Computer-Based Supervision and Monitoring Systems that may be applied in both small and large structures. Since 1990 the company has been performing full-range trade and contracting activities on the Polish market. We have our own well-trained technical staff and we collaborate with a series of designing and contracting enterprises that enable us to have our projects carried out all over Poland. The prices of our supplies and services correspond with the level of the Polish market.

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

    Directory of Open Access Journals (Sweden)

    Bin Hou

    2016-08-01

    Full Text Available 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.

  15. Clinical supervision in a community setting.

    Science.gov (United States)

    Evans, Carol; Marcroft, Emma

    Clinical supervision is a formal process of professional support, reflection and learning that contributes to individual development. First Community Health and Care is committed to providing clinical supervision to nurses and allied healthcare professionals to support the provision and maintenance of high-quality care. In 2012, we developed new guidelines for nurses and AHPs on supervision, incorporating a clinical supervision framework. This offers a range of options to staff so supervision accommodates variations in work settings and individual learning needs and styles.

  16. Human semi-supervised learning.

    Science.gov (United States)

    Gibson, Bryan R; Rogers, Timothy T; Zhu, Xiaojin

    2013-01-01

    Most empirical work in human categorization has studied learning in either fully supervised or fully unsupervised scenarios. Most real-world learning scenarios, however, are semi-supervised: Learners receive a great deal of unlabeled information from the world, coupled with occasional experiences in which items are directly labeled by a knowledgeable source. A large body of work in machine learning has investigated how learning can exploit both labeled and unlabeled data provided to a learner. Using equivalences between models found in human categorization and machine learning research, we explain how these semi-supervised techniques can be applied to human learning. A series of experiments are described which show that semi-supervised learning models prove useful for explaining human behavior when exposed to both labeled and unlabeled data. We then discuss some machine learning models that do not have familiar human categorization counterparts. Finally, we discuss some challenges yet to be addressed in the use of semi-supervised models for modeling human categorization. Copyright © 2013 Cognitive Science Society, Inc.

  17. A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis.

    Science.gov (United States)

    Chai, Hua; Li, Zi-Na; Meng, De-Yu; Xia, Liang-Yong; Liang, Yong

    2017-10-12

    Gene selection is an attractive and important task in cancer survival analysis. Most existing supervised learning methods can only use the labeled biological data, while the censored data (weakly labeled data) far more than the labeled data are ignored in model building. Trying to utilize such information in the censored data, a semi-supervised learning framework (Cox-AFT model) combined with Cox proportional hazard (Cox) and accelerated failure time (AFT) model was used in cancer research, which has better performance than the single Cox or AFT model. This method, however, is easily affected by noise. To alleviate this problem, in this paper we combine the Cox-AFT model with self-paced learning (SPL) method to more effectively employ the information in the censored data in a self-learning way. SPL is a kind of reliable and stable learning mechanism, which is recently proposed for simulating the human learning process to help the AFT model automatically identify and include samples of high confidence into training, minimizing interference from high noise. Utilizing the SPL method produces two direct advantages: (1) The utilization of censored data is further promoted; (2) the noise delivered to the model is greatly decreased. The experimental results demonstrate the effectiveness of the proposed model compared to the traditional Cox-AFT model.

  18. Statistical mechanics of semi-supervised clustering in sparse graphs

    International Nuclear Information System (INIS)

    Ver Steeg, Greg; Galstyan, Aram; Allahverdyan, Armen E

    2011-01-01

    We theoretically study semi-supervised clustering in sparse graphs in the presence of pair-wise constraints on the cluster assignments of nodes. We focus on bi-cluster graphs and study the impact of semi-supervision for varying constraint density and overlap between the clusters. Recent results for unsupervised clustering in sparse graphs indicate that there is a critical ratio of within-cluster and between-cluster connectivities below which clusters cannot be recovered with better than random accuracy. The goal of this paper is to examine the impact of pair-wise constraints on the clustering accuracy. Our results suggest that the addition of constraints does not provide automatic improvement over the unsupervised case. When the density of the constraints is sufficiently small, their only impact is to shift the detection threshold while preserving the criticality. Conversely, if the density of (hard) constraints is above the percolation threshold, the criticality is suppressed and the detection threshold disappears

  19. Using Supervised Deep Learning for Human Age Estimation Problem

    Science.gov (United States)

    Drobnyh, K. A.; Polovinkin, A. N.

    2017-05-01

    Automatic facial age estimation is a challenging task upcoming in recent years. In this paper, we propose using the supervised deep learning features to improve an accuracy of the existing age estimation algorithms. There are many approaches solving the problem, an active appearance model and the bio-inspired features are two of them which showed the best accuracy. For experiments we chose popular publicly available FG-NET database, which contains 1002 images with a broad variety of light, pose, and expression. LOPO (leave-one-person-out) method was used to estimate the accuracy. Experiments demonstrated that adding supervised deep learning features has improved accuracy for some basic models. For example, adding the features to an active appearance model gave the 4% gain (the error decreased from 4.59 to 4.41).

  20. Using supervised machine learning to code policy issues: Can classifiers generalize across contexts?

    NARCIS (Netherlands)

    Burscher, B.; Vliegenthart, R.; de Vreese, C.H.

    2015-01-01

    Content analysis of political communication usually covers large amounts of material and makes the study of dynamics in issue salience a costly enterprise. In this article, we present a supervised machine learning approach for the automatic coding of policy issues, which we apply to news articles

  1. Supervised Quality Assessment Of Medical Image Registration: Application to intra-patient CT lung registration

    NARCIS (Netherlands)

    Muenzing, S.E.; Ginneken, B. van; Murphy, K.; Pluim, J.P.

    2012-01-01

    A novel method for automatic quality assessment of medical image registration is presented. The method is based on supervised learning of local alignment patterns, which are captured by statistical image features at distinctive landmark points. A two-stage classifier cascade, employing an optimal

  2. Predicting incomplete gene microarray data with the use of supervised learning algorithms

    CSIR Research Space (South Africa)

    Twala, B

    2010-10-01

    Full Text Available of many well-established supervised learning (SL) algorithms in an attempt to provide more accurate and automatic diagnosis class (cancer/non cancer) prediction. Virtually all research on SL addresses the task of learning to classify complete domain...

  3. Nonparametric Mixture Models for Supervised Image Parcellation.

    Science.gov (United States)

    Sabuncu, Mert R; Yeo, B T Thomas; Van Leemput, Koen; Fischl, Bruce; Golland, Polina

    2009-09-01

    We present a nonparametric, probabilistic mixture model for the supervised parcellation of images. The proposed model yields segmentation algorithms conceptually similar to the recently developed label fusion methods, which register a new image with each training image separately. Segmentation is achieved via the fusion of transferred manual labels. We show that in our framework various settings of a model parameter yield algorithms that use image intensity information differently in determining the weight of a training subject during fusion. One particular setting computes a single, global weight per training subject, whereas another setting uses locally varying weights when fusing the training data. The proposed nonparametric parcellation approach capitalizes on recently developed fast and robust pairwise image alignment tools. The use of multiple registrations allows the algorithm to be robust to occasional registration failures. We report experiments on 39 volumetric brain MRI scans with expert manual labels for the white matter, cerebral cortex, ventricles and subcortical structures. The results demonstrate that the proposed nonparametric segmentation framework yields significantly better segmentation than state-of-the-art algorithms.

  4. Self-reflection in cognitive behavioural therapy and supervision.

    Science.gov (United States)

    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

  5. Cultural Humility in Psychotherapy Supervision.

    Science.gov (United States)

    Hook, Joshua N; Watkins, C Edward; Davis, Don E; Owen, Jesse; Van Tongeren, Daryl R; Ramos, Marciana J

    2016-01-01

    As a core component of multicultural orientation, cultural humility can be considered an important attitude for clinical supervisees to adopt and practically implement. How can cultural humility be most meaningfully incorporated in supervision? In what ways can supervisors stimulate the development of a culturally humble attitude in our supervisees? We consider those questions in this paper and present a model for addressing cultural humility in clinical supervision. The primary focus is given to two areas: (a) modeling and teaching of cultural humility through interpersonal interactions in supervision, and (b) teaching cultural humility through outside activities and experiences. Two case studies illustrating the model are presented, and a research agenda for work in this area is outlined.

  6. Supervisor training

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2015-01-01

    on the experience of an integrated supervisor training programme offered in Aalborg, Denmark in 2009/2010. In this programme general issues of professional supervision and the application of artistic media as a core element in the supervisory process were Integrated. It is the hope of the author that this article...

  7. Supervising away from home: clinical, cultural and professional challenges.

    Science.gov (United States)

    Abramovitch, Henry; Wiener, Jan

    2017-02-01

    This paper explores some challenges of supervising clinical work of trainees, known as 'routers', who live in countries with diverse cultural, social and political traditions, and the analysts who travel to supervise them. It is written as an evolving dialogue between the authors, who explore together the effects of their own culture of origin, and in particular the legacy and values of their own training institutes on the styles and models of analytic supervision. Their dialogue is framed around the meaning of home and experiences of homesickness for analysts working away from home in an interactive field of strangeness in countries where analytical psychology is a relatively new discipline. The authors outline the findings from their own qualitative survey, where other supervisors working abroad, and those they have supervised, describe their experiences and their encounters with difference. The dialogue ends with both authors discussing what they have learned about teaching and supervising abroad, the implications for more flexible use of Jungian concepts, and how such visits have changed their clinical practice in their home countries. © 2017, The Society of Analytical Psychology.

  8. Constrained Deep Weak Supervision for Histopathology Image Segmentation.

    Science.gov (United States)

    Jia, Zhipeng; Huang, Xingyi; Chang, Eric I-Chao; Xu, Yan

    2017-11-01

    In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep weak supervision (DWS); we also propose an effective way to introduce constraints to our neural networks to assist the learning process. The contributions of our algorithm are threefold: 1) we build an end-to-end learning system that segments cancerous regions with fully convolutional networks (FCNs) in which image-to-image weakly-supervised learning is performed; 2) we develop a DWS formulation to exploit multi-scale learning under weak supervision within FCNs; and 3) constraints about positive instances are introduced in our approach to effectively explore additional weakly supervised information that is easy to obtain and enjoy a significant boost to the learning process. The proposed algorithm, abbreviated as DWS-MIL, is easy to implement and can be trained efficiently. Our system demonstrates the state-of-the-art results on large-scale histopathology image data sets and can be applied to various applications in medical imaging beyond histopathology images, such as MRI, CT, and ultrasound images.

  9. Guess Where? Actor-Supervision for Spatiotemporal Action Localization

    KAUST Repository

    Escorcia, Victor

    2018-04-05

    This paper addresses the problem of spatiotemporal localization of actions in videos. Compared to leading approaches, which all learn to localize based on carefully annotated boxes on training video frames, we adhere to a weakly-supervised solution that only requires a video class label. We introduce an actor-supervised architecture that exploits the inherent compositionality of actions in terms of actor transformations, to localize actions. We make two contributions. First, we propose actor proposals derived from a detector for human and non-human actors intended for images, which is linked over time by Siamese similarity matching to account for actor deformations. Second, we propose an actor-based attention mechanism that enables the localization of the actions from action class labels and actor proposals and is end-to-end trainable. Experiments on three human and non-human action datasets show actor supervision is state-of-the-art for weakly-supervised action localization and is even competitive to some fully-supervised alternatives.

  10. Sundhedsfaglig supervision som klinisk metode

    DEFF Research Database (Denmark)

    Nordentoft, Helle Merete

    2011-01-01

    Kapitlet gennemgår og diskuterer sundhedsfaglig supervision (SFS) som metode. Formålet med kapitlet er at give læseren indsigt i og et kritisk blik på metodens muligheder og begrænsninger. Indledningsvis uddyber kapitlet den historiske baggrund for SFS og hvordan metoden udfolder sig i praksis med...... afsæt i forfatterens ph.d.-projekt om SFS. Denne introduktion suppleres af en mere indgående og kritisk diskussion af sundhedsfaglig supervision som metode, dens udfordringer og potentialer i en organisatorisk kontekst, der er præget af forandringer og krav om dokumentation. Afslutningsvis peges på...

  11. Structured Peer Group Practicum Supervision: Supervisees' Perceptions of Supervision Theory.

    Science.gov (United States)

    Starling, Paulette V.; Baker, Stanley B.

    2000-01-01

    Discusses a thematic analysis of retrospective phenomenological interviews with four group counseling practicum participants. Suggests the importance of peer feedback supports experimenting with different approaches to the group process. Recommends future research on the impact of group counseling practicum supervision be structured to allow…

  12. Detection and segmentation of virus plaque using HOG and SVM: toward automatic plaque assay.

    Science.gov (United States)

    Mao, Yihao; Liu, Hong; Ye, Rong; Shi, Yonghong; Song, Zhijian

    2014-01-01

    Plaque assaying, measurement of the number, diameter, and area of plaques in a Petri dish image, is a standard procedure gauging the concentration of phage in biology. This paper presented a novel and effective method for implementing automatic plaque assaying. The method was mainly comprised of the following steps: In the training stage, after pre-processing the images for noise suppression, an initial training set was readied by sampling positive (with a plaque at the center) and negative (plaque-free) patches from the training images, and extracting the HOG features from each patch. The linear SVM classifier was trained in a self-learnt supervised learning strategy to avoid possible missing detection. Specifically, the training set which contained positive and negative patches sampled manually from training images was used to train the preliminary classifier which exhaustively searched the training images to predict the label for the unlabeled patches. The mislabeled patches were evaluated by experts and relabeled. And all the newly labeled patches and their corresponding HOG features were added to the initial training set to train the final classifier. In the testing stage, a sliding-window technique was first applied to the unseen image for obtaining HOG features, which were inputted into the classifier to predict whether the patch was positive. Second, a locally adaptive Otsu method was performed on the positive patches to segment the plaques. Finally, after removing the outliers, the parameters of the plaques were measured in the segmented plaques. The experimental results demonstrated that the accuracy of the proposed method was similar to the one measured manually by experts, but it took less than 30 seconds.

  13. Semi-Supervised Generation with Cluster-aware Generative Models

    DEFF Research Database (Denmark)

    Maaløe, Lars; Fraccaro, Marco; Winther, Ole

    2017-01-01

    Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning. Many real life data sets contain a small amount of labelled data points, that are typically disregarded when training generative models. We propose the Cluster...... a log-likelihood of −79.38 nats on permutation invariant MNIST, while also achieving competitive semi-supervised classification accuracies. The model can also be trained fully unsupervised, and still improve the log-likelihood performance with respect to related methods....

  14. Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules.

    Science.gov (United States)

    Feng, Xinyang; Yang, Jie; Laine, Andrew F; Angelini, Elsa D

    2017-09-01

    Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis. Existing supervised approaches for automated nodule segmentation on CT scans require voxel-based annotations for training, which are labor- and time-consuming to obtain. In this work, we propose a weakly-supervised method that generates accurate voxel-level nodule segmentation trained with image-level labels only. By adapting a convolutional neural network (CNN) trained for image classification, our proposed method learns discriminative regions from the activation maps of convolution units at different scales, and identifies the true nodule location with a novel candidate-screening framework. Experimental results on the public LIDC-IDRI dataset demonstrate that, our weakly-supervised nodule segmentation framework achieves competitive performance compared to a fully-supervised CNN-based segmentation method.

  15. Automatic determination of pathological voice transformation coefficients for TDPDOLA using neural network

    International Nuclear Information System (INIS)

    Belgacem, H.; Cherif, A.

    2011-01-01

    One of the biggest challenges in vocal transformation with TD-PSOLA technique is the selection of modified parameters that will make a successful speech resynthesis. The best selection methods are by using human ratters. This study focuses on automatic determination of the pathological voice transformation coefficients using an Artificial Neural Network this way by comparing the results to the previous manual work. Four characterizied parameters (RATA-PLP, Jitter, Shimmer and RAP) were chosen. The system is developed with supervised training, consists of recognition (neural network) for synthesis (TD-PSOLA). The experimental results show that the parameter sets selected by the proposed system can be successfully used to resynthesize and demonstrating that our system can assist in vocal of pathological voice's transformation.

  16. Using clinical supervision to improve the quality and safety of patient care: a response to Berwick and Francis.

    Science.gov (United States)

    Tomlinson, Jonathon

    2015-06-11

    After widely publicised investigations into excess patient deaths at Mid Staffordshire hospital the UK government commissioned reports from Robert Francis QC and Professor Don Berwick. Among their recommendations to improve the quality and safety of patient care were lifelong learning, professional support and 'just culture'. Clinical supervision is in an excellent position to support these activities but opportunities are in danger of being squeezed out by regulatory and managerial demands. Doctors who have completed their training are responsible for complex professional judgements for which narrative supervision is particularly helpful. With reference to the literature and my own practice I propose that all practicing clinicians should have regular clinical supervision. Clinical supervision has patient-safety and the quality of patient care as its primary purposes. After training is completed, doctors may practice for the rest of their career without any clinical supervision, the implication being that the difficulties dealt with in clinical supervision are no longer difficulties, or are better dealt with some other way. Clinical supervision is sufficiently flexible to be adapted to the needs of experienced clinicians as its forms can be varied, though its functions remain focused on patient safety, good quality clinical care and professional wellbeing. The evidence linking clinical supervision to the quality and safety of patient care reveals that supervision is most effective when its educational and supportive functions are separated from its managerial and evaluative functions. Among supervision's different forms, narrative-based-supervision is particularly useful as it has been developed for clinicians who have completed their training. It provides ways to explore the complexity of clinical judgements and encourages doctors to question one another's authority in a supportive culture. To be successful, supervision should also be professionally led and

  17. Supervised Sequence Labelling with Recurrent Neural Networks

    CERN Document Server

    Graves, Alex

    2012-01-01

    Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary.    The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional...

  18. [Supervised physical activity interventions in the management of cancer-related fatigue: a systematic review].

    Science.gov (United States)

    Meneses-Echavez, Jose F; González-Jiménez, Emilio; Correa, Jorge E; Ramírez-Vélez, Robinson

    2014-09-01

    Cancer-related fatigue is the most common and distressing symptom among cancer survivors; physical activity has been proposed as a safe and effective intervention to control it. This study aimed to determine the effectiveness of supervised physical activity interventions for the management of cancer-related fatigue (CRF). Systematic review of randomized controlled trials. Adults (>20 years old) diagnosed with any type of cancer regardless of treatment or diagnosis stage. Physical activity interventions (aerobic and resistance training) supervised by health professionals. CRF was the primary outcome measure, whilst secondary outcomes included depression, the comparison between supervised and non-supervised interventions, physical and functional wellbeing. Risk of bias and methodological quality were evaluated using the PEDro scale. Fourteen studies (n=14) were included (n=1638) with low risk of bias (PEDro mean score=6,5 ± 1). Supervised physical activity significantly improved CRF; similar results were found for resistance training. Further, supervised physical activity was more effective than conventional care for improving CRF among breast cancer. Supervised physical activity interventions provide an overall reduction on CRF. These findings suggest that guidelines of aerobic and resistance training should be included in oncologic rehabilitation programs. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

  19. Adequate supervision for children and adolescents.

    Science.gov (United States)

    Anderst, James; Moffatt, Mary

    2014-11-01

    Primary care providers (PCPs) have the opportunity to improve child health and well-being by addressing supervision issues before an injury or exposure has occurred and/or after an injury or exposure has occurred. Appropriate anticipatory guidance on supervision at well-child visits can improve supervision of children, and may prevent future harm. Adequate supervision varies based on the child's development and maturity, and the risks in the child's environment. Consideration should be given to issues as wide ranging as swimming pools, falls, dating violence, and social media. By considering the likelihood of harm and the severity of the potential harm, caregivers may provide adequate supervision by minimizing risks to the child while still allowing the child to take "small" risks as needed for healthy development. Caregivers should initially focus on direct (visual, auditory, and proximity) supervision of the young child. Gradually, supervision needs to be adjusted as the child develops, emphasizing a safe environment and safe social interactions, with graduated independence. PCPs may foster adequate supervision by providing concrete guidance to caregivers. In addition to preventing injury, supervision includes fostering a safe, stable, and nurturing relationship with every child. PCPs should be familiar with age/developmentally based supervision risks, adequate supervision based on those risks, characteristics of neglectful supervision based on age/development, and ways to encourage appropriate supervision throughout childhood. Copyright 2014, SLACK Incorporated.

  20. Contrast-based fully automatic segmentation of white matter hyperintensities: method and validation.

    Directory of Open Access Journals (Sweden)

    Thomas Samaille

    Full Text Available White matter hyperintensities (WMH on T2 or FLAIR sequences have been commonly observed on MR images of elderly people. They have been associated with various disorders and have been shown to be a strong risk factor for stroke and dementia. WMH studies usually required visual evaluation of WMH load or time-consuming manual delineation. This paper introduced WHASA (White matter Hyperintensities Automated Segmentation Algorithm, a new method for automatically segmenting WMH from FLAIR and T1 images in multicentre studies. Contrary to previous approaches that were based on intensities, this method relied on contrast: non linear diffusion filtering alternated with watershed segmentation to obtain piecewise constant images with increased contrast between WMH and surroundings tissues. WMH were then selected based on subject dependant automatically computed threshold and anatomical information. WHASA was evaluated on 67 patients from two studies, acquired on six different MRI scanners and displaying a wide range of lesion load. Accuracy of the segmentation was assessed through volume and spatial agreement measures with respect to manual segmentation; an intraclass correlation coefficient (ICC of 0.96 and a mean similarity index (SI of 0.72 were obtained. WHASA was compared to four other approaches: Freesurfer and a thresholding approach as unsupervised methods; k-nearest neighbours (kNN and support vector machines (SVM as supervised ones. For these latter, influence of the training set was also investigated. WHASA clearly outperformed both unsupervised methods, while performing at least as good as supervised approaches (ICC range: 0.87-0.91 for kNN; 0.89-0.94 for SVM. Mean SI: 0.63-0.71 for kNN, 0.67-0.72 for SVM, and did not need any training set.

  1. Phenotype classification of zebrafish embryos by supervised learning.

    Directory of Open Access Journals (Sweden)

    Nathalie Jeanray

    Full Text Available Zebrafish is increasingly used to assess biological properties of chemical substances and thus is becoming a specific tool for toxicological and pharmacological studies. The effects of chemical substances on embryo survival and development are generally evaluated manually through microscopic observation by an expert and documented by several typical photographs. Here, we present a methodology to automatically classify brightfield images of wildtype zebrafish embryos according to their defects by using an image analysis approach based on supervised machine learning. We show that, compared to manual classification, automatic classification results in 90 to 100% agreement with consensus voting of biological experts in nine out of eleven considered defects in 3 days old zebrafish larvae. Automation of the analysis and classification of zebrafish embryo pictures reduces the workload and time required for the biological expert and increases the reproducibility and objectivity of this classification.

  2. Phenotype classification of zebrafish embryos by supervised learning.

    Science.gov (United States)

    Jeanray, Nathalie; Marée, Raphaël; Pruvot, Benoist; Stern, Olivier; Geurts, Pierre; Wehenkel, Louis; Muller, Marc

    2015-01-01

    Zebrafish is increasingly used to assess biological properties of chemical substances and thus is becoming a specific tool for toxicological and pharmacological studies. The effects of chemical substances on embryo survival and development are generally evaluated manually through microscopic observation by an expert and documented by several typical photographs. Here, we present a methodology to automatically classify brightfield images of wildtype zebrafish embryos according to their defects by using an image analysis approach based on supervised machine learning. We show that, compared to manual classification, automatic classification results in 90 to 100% agreement with consensus voting of biological experts in nine out of eleven considered defects in 3 days old zebrafish larvae. Automation of the analysis and classification of zebrafish embryo pictures reduces the workload and time required for the biological expert and increases the reproducibility and objectivity of this classification.

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

    Science.gov (United States)

    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.

  4. Multi combined Adlerian supervision in Counseling

    OpenAIRE

    Gungor, Abdi

    2017-01-01

    For counselor professional and counselor education, supervision is an important process, in which more experienced professional helps and guides less experienced professional. To provide an effective and beneficial supervision, various therapy, development, or process based approaches and models have been developed. In addition, different eclectic models integrating more than one model have been developed. In this paper, as a supervision model, multi combined Adlerian supervision model is pro...

  5. AUTOMATIC ARCHITECTURAL STYLE RECOGNITION

    Directory of Open Access Journals (Sweden)

    M. Mathias

    2012-09-01

    Full Text Available Procedural modeling has proven to be a very valuable tool in the field of architecture. In the last few years, research has soared to automatically create procedural models from images. However, current algorithms for this process of inverse procedural modeling rely on the assumption that the building style is known. So far, the determination of the building style has remained a manual task. In this paper, we propose an algorithm which automates this process through classification of architectural styles from facade images. Our classifier first identifies the images containing buildings, then separates individual facades within an image and determines the building style. This information could then be used to initialize the building reconstruction process. We have trained our classifier to distinguish between several distinct architectural styles, namely Flemish Renaissance, Haussmannian and Neoclassical. Finally, we demonstrate our approach on various street-side images.

  6. Postgraduate research supervision in a socially distributed ...

    African Journals Online (AJOL)

    In this article we discuss different models of postgraduate supervision and suggest that a new model of supervision might be emerging as we move towards a more socially distributed knowledge system. In such a model, those involved in the supervision process would include partners other than university lecturers and ...

  7. 20 CFR 655.30 - Supervised recruitment.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Supervised recruitment. 655.30 Section 655.30... Workers) § 655.30 Supervised recruitment. (a) Supervised recruitment. Where an employer is found to have... failed to adequately conduct recruitment activities or failed in any obligation of this part, the CO may...

  8. The Learning Alliance: Ethics in Doctoral Supervision

    Science.gov (United States)

    Halse, Christine; Bansel, Peter

    2012-01-01

    This paper is concerned with the ethics of relationships in doctoral supervision. We give an overview of four paradigms of doctoral supervision that have endured over the past 25 years and elucidate some of their strengths and limitations, contextualise them historically and consider their implications for doctoral supervision in the contemporary…

  9. Moment constrained semi-supervised LDA

    DEFF Research Database (Denmark)

    Loog, Marco

    2012-01-01

    This BNAIC compressed contribution provides a summary of the work originally presented at the First IAPR Workshop on Partially Supervised Learning and published in [5]. It outlines the idea behind supervised and semi-supervised learning and highlights the major shortcoming of many current methods...

  10. 24 CFR 200.105 - Mortgagor supervision.

    Science.gov (United States)

    2010-04-01

    ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Mortgagor supervision. 200.105... supervision. (a) As long as the Commissioner is the insurer or holder of the mortgage, the Commissioner shall... Regulatory Agreement or other instrument granting the Commissioner supervision of the mortgagor. ...

  11. 75 FR 59799 - Office of Thrift Supervision

    Science.gov (United States)

    2010-09-28

    ... Office of Thrift Supervision Purchase of Branch Office(s) and/or Transfer of Assets/Liabilities AGENCY: Office of Thrift Supervision (OTS), Treasury. ACTION: Notice and request for comment. SUMMARY: The... Supervision within the Department of the Treasury will submit the proposed information collection requirement...

  12. 32 CFR 631.3 - Supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 4 2010-07-01 2010-07-01 true Supervision. 631.3 Section 631.3 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY (CONTINUED) LAW ENFORCEMENT AND CRIMINAL....3 Supervision. The following will develop and have staff supervision over AFDCB and off-installation...

  13. 7 CFR 550.33 - Administrative supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 6 2010-01-01 2010-01-01 false Administrative supervision. 550.33 Section 550.33... Agreements Program Management § 550.33 Administrative supervision. REE employees are prohibited from engaging... management issues. The cooperator is solely responsible for the administrative supervision of its employees. ...

  14. 40 CFR 35.935-8 - Supervision.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 1 2010-07-01 2010-07-01 false Supervision. 35.935-8 Section 35.935-8... ASSISTANCE Grants for Construction of Treatment Works-Clean Water Act § 35.935-8 Supervision. In the case of... supervision and inspection of the project to ensure that the construction conforms with the approved plans and...

  15. 10 CFR 35.27 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Supervision. 35.27 Section 35.27 Energy NUCLEAR REGULATORY COMMISSION MEDICAL USE OF BYPRODUCT MATERIAL General Administrative Requirements § 35.27 Supervision. (a) A... under the supervision of an authorized user, as allowed by § 35.11(b)(1), shall— (1) In addition to the...

  16. Supervision Experiences of New Professional School Counselors

    Science.gov (United States)

    Bultsma, Shawn A.

    2012-01-01

    This qualitative study examined the supervision experiences of 11 new professional school counselors. They reported that their supervision experiences were most often administrative in nature; reports of clinical and developmental supervision were limited to participants whose supervisors were licensed as professional counselors. In addition,…

  17. 27 CFR 46.79 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Supervision. 46.79 Section... § 46.79 Supervision. Before payment is made under this subpart in respect of the tax, or tax and duty... under the supervision of an appropriate TTB officer who will be assigned for that purpose by another...

  18. 48 CFR 836.572 - Government supervision.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Government supervision. 836.572 Section 836.572 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS SPECIAL... supervision. The contracting officer shall insert the clause at 852.236-78, Government supervision, in...

  19. 7 CFR 56.6 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Supervision. 56.6 Section 56.6 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Standards, Inspections... Grading of Shell Eggs General § 56.6 Supervision. All grading service shall be subject to supervision at...

  20. 9 CFR 354.13 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision. 354.13 Section 354.13... CERTIFICATION VOLUNTARY INSPECTION OF RABBITS AND EDIBLE PRODUCTS THEREOF Basis of Service § 354.13 Supervision. All inspection service shall be subject to supervision at all times by the station supervisor, circuit...

  1. 27 CFR 70.609 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Supervision. 70.609... From Disaster, Vandalism, or Malicious Mischief Destruction of Liquors § 70.609 Supervision. When... official or made unmarketable, the liquors shall be destroyed by suitable means under supervision...

  2. 28 CFR 2.91 - Supervision responsibility.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision responsibility. 2.91 Section 2.91 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT OF....91 Supervision responsibility. (a) Pursuant to D.C. Code 24-133(c), the District of Columbia Court...

  3. Genetic Counseling Supervisors' Self-Efficacy for Select Clinical Supervision Competencies.

    Science.gov (United States)

    Finley, Sabra Ledare; Veach, Pat McCarthy; MacFarlane, Ian M; LeRoy, Bonnie S; Callanan, Nancy

    2016-04-01

    Supervision is a primary instructional vehicle for genetic counseling student clinical training. Approximately two-thirds of genetic counselors report teaching and education roles, which include supervisory roles. Recently, Eubanks Higgins and colleagues published the first comprehensive list of empirically-derived genetic counseling supervisor competencies. Studies have yet to evaluate whether supervisors possess these competencies and whether their competencies differ as a function of experience. This study investigated three research questions: (1) What are genetic counselor supervisors' perceptions of their capabilities (self-efficacy) for a select group of supervisor competencies?, (2) Are there differences in self-efficacy as a function of their supervision experience or their genetic counseling experience, and 3) What training methods do they use and prefer to develop supervision skills? One-hundred thirty-one genetic counselor supervisors completed an anonymous online survey assessing demographics, self-efficacy (self-perceived capability) for 12 goal setting and 16 feedback competencies (Scale: 0-100), competencies that are personally challenging, and supervision training experiences and preferences (open-ended). A MANOVA revealed significant positive effects of supervision experience but not genetic counseling experience on participants' self-efficacy. Although mean self-efficacy ratings were high (>83.7), participant comments revealed several challenging competencies (e.g., incorporating student's report of feedback from previous supervisors into goal setting, and providing feedback about student behavior rather than personal traits). Commonly preferred supervision training methods included consultation with colleagues, peer discussion, and workshops/seminars.

  4. Broad Absorption Line Quasar catalogues with Supervised Neural Networks

    International Nuclear Information System (INIS)

    Scaringi, Simone; Knigge, Christian; Cottis, Christopher E.; Goad, Michael R.

    2008-01-01

    We have applied a Learning Vector Quantization (LVQ) algorithm to SDSS DR5 quasar spectra in order to create a large catalogue of broad absorption line quasars (BALQSOs). We first discuss the problems with BALQSO catalogues constructed using the conventional balnicity and/or absorption indices (BI and AI), and then describe the supervised LVQ network we have trained to recognise BALQSOs. The resulting BALQSO catalogue should be substantially more robust and complete than BI-or AI-based ones.

  5. A National Survey of School Counselor Supervision Practices: Administrative, Clinical, Peer, and Technology Mediated Supervision

    Science.gov (United States)

    Perera-Diltz, Dilani M.; Mason, Kimberly L.

    2012-01-01

    Supervision is vital for personal and professional development of counselors. Practicing school counselors (n = 1557) across the nation were surveyed to explore current supervision practices. Results indicated that 41.1% of school counselors provide supervision. Although 89% receive some type of supervision, only 10.3% of school counselors receive…

  6. Supervised exercise reduces cancer-related fatigue: a systematic review.

    Science.gov (United States)

    Meneses-Echávez, José F; González-Jiménez, Emilio; Ramírez-Vélez, Robinson

    2015-01-01

    Does supervised physical activity reduce cancer-related fatigue? Systematic review with meta-analysis of randomised trials. People diagnosed with any type of cancer, without restriction to a particular stage of diagnosis or treatment. Supervised physical activity interventions (eg, aerobic, resistance and stretching exercise), defined as any planned or structured body movement causing an increase in energy expenditure, designed to maintain or enhance health-related outcomes, and performed with systematic frequency, intensity and duration. The primary outcome measure was fatigue. Secondary outcomes were physical and functional wellbeing assessed using the Functional Assessment of Cancer Therapy Fatigue Scale, European Organisation for Research and Treatment of Cancer Quality of Life QUESTIONnaire, Piper Fatigue Scale, Schwartz Cancer Fatigue Scale and the Multidimensional Fatigue Inventory. Methodological quality, including risk of bias of the studies, was evaluated using the PEDro Scale. Eleven studies involving 1530 participants were included in the review. The assessment of quality showed a mean score of 6.5 (SD 1.1), indicating a low overall risk of bias. The pooled effect on fatigue, calculated as a standardised mean difference (SMD) using a random-effects model, was -1.69 (95% CI -2.99 to -0.39). Beneficial reductions in fatigue were also found with combined aerobic and resistance training with supervision (SMD=-0.41, 95% CI -0.70 to -0.13) and with combined aerobic, resistance and stretching training with supervision (SMD=-0.67, 95% CI -1.17 to -0.17). Supervised physical activity interventions reduce cancer-related fatigue. These findings suggest that combined aerobic and resistance exercise regimens with or without stretching should be included as part of rehabilitation programs for people who have been diagnosed with cancer. PROSPERO CRD42013005803. Copyright © 2014 Australian Physiotherapy Association. Published by Elsevier B.V. All rights reserved.

  7. ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography.

    Science.gov (United States)

    Berthon, Beatrice; Marshall, Christopher; Evans, Mererid; Spezi, Emiliano

    2016-07-07

    Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiotherapy treatment planning. PET automatic segmentation (PET-AS) eliminates intra- and interobserver variability, but there is currently no consensus on the optimal method to use, as different algorithms appear to perform better for different types of tumours. This work aimed to develop a predictive segmentation model, trained to automatically select and apply the best PET-AS method, according to the tumour characteristics. ATLAAS, the automatic decision tree-based learning algorithm for advanced segmentation is based on supervised machine learning using decision trees. The model includes nine PET-AS methods and was trained on a 100 PET scans with known true contour. A decision tree was built for each PET-AS algorithm to predict its accuracy, quantified using the Dice similarity coefficient (DSC), according to the tumour volume, tumour peak to background SUV ratio and a regional texture metric. The performance of ATLAAS was evaluated for 85 PET scans obtained from fillable and printed subresolution sandwich phantoms. ATLAAS showed excellent accuracy across a wide range of phantom data and predicted the best or near-best segmentation algorithm in 93% of cases. ATLAAS outperformed all single PET-AS methods on fillable phantom data with a DSC of 0.881, while the DSC for H&N phantom data was 0.819. DSCs higher than 0.650 were achieved in all cases. ATLAAS is an advanced automatic image segmentation algorithm based on decision tree predictive modelling, which can be trained on images with known true contour, to predict the best PET-AS method when the true contour is unknown. ATLAAS provides robust and accurate image segmentation with potential applications to radiation oncology.

  8. Weakly supervised semantic segmentation using fore-background priors

    Science.gov (United States)

    Han, Zheng; Xiao, Zhitao; Yu, Mingjun

    2017-07-01

    Weakly-supervised semantic segmentation is a challenge in the field of computer vision. Most previous works utilize the labels of the whole training set and thereby need the construction of a relationship graph about image labels, thus result in expensive computation. In this study, we tackle this problem from a different perspective. We proposed a novel semantic segmentation algorithm based on background priors, which avoids the construction of a huge graph in whole training dataset. Specifically, a random forest classifier is obtained using weakly supervised training data .Then semantic texton forest (STF) feature is extracted from image superpixels. Finally, a CRF based optimization algorithm is proposed. The unary potential of CRF derived from the outputting probability of random forest classifier and the robust saliency map as background prior. Experiments on the MSRC21 dataset show that the new algorithm outperforms some previous influential weakly-supervised segmentation algorithms. Furthermore, the use of efficient decision forests classifier and parallel computing of saliency map significantly accelerates the implementation.

  9. Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records

    Directory of Open Access Journals (Sweden)

    Siriwon Taewijit

    2017-01-01

    Full Text Available Information extraction and knowledge discovery regarding adverse drug reaction (ADR from large-scale clinical texts are very useful and needy processes. Two major difficulties of this task are the lack of domain experts for labeling examples and intractable processing of unstructured clinical texts. Even though most previous works have been conducted on these issues by applying semisupervised learning for the former and a word-based approach for the latter, they face with complexity in an acquisition of initial labeled data and ignorance of structured sequence of natural language. In this study, we propose automatic data labeling by distant supervision where knowledge bases are exploited to assign an entity-level relation label for each drug-event pair in texts, and then, we use patterns for characterizing ADR relation. The multiple-instance learning with expectation-maximization method is employed to estimate model parameters. The method applies transductive learning to iteratively reassign a probability of unknown drug-event pair at the training time. By investigating experiments with 50,998 discharge summaries, we evaluate our method by varying large number of parameters, that is, pattern types, pattern-weighting models, and initial and iterative weightings of relations for unlabeled data. Based on evaluations, our proposed method outperforms the word-based feature for NB-EM (iEM, MILR, and TSVM with F1 score of 11.3%, 9.3%, and 6.5% improvement, respectively.

  10. Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment

    Directory of Open Access Journals (Sweden)

    Radoi Emanuel

    2006-01-01

    Full Text Available The problem of the automatic classification of superresolution ISAR images is addressed in the paper. We describe an anechoic chamber experiment involving ten-scale-reduced aircraft models. The radar images of these targets are reconstructed using MUSIC-2D (multiple signal classification method coupled with two additional processing steps: phase unwrapping and symmetry enhancement. A feature vector is then proposed including Fourier descriptors and moment invariants, which are calculated from the target shape and the scattering center distribution extracted from each reconstructed image. The classification is finally performed by a new self-organizing neural network called SART (supervised ART, which is compared to two standard classifiers, MLP (multilayer perceptron and fuzzy KNN ( nearest neighbors. While the classification accuracy is similar, SART is shown to outperform the two other classifiers in terms of training speed and classification speed, especially for large databases. It is also easier to use since it does not require any input parameter related to its structure.

  11. Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning.

    Science.gov (United States)

    Adal, Kedir M; Sidibé, Désiré; Ali, Sharib; Chaum, Edward; Karnowski, Thomas P; Mériaudeau, Fabrice

    2014-04-01

    Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier which can detect true MAs. The developed system is built using only few manually labeled and a large number of unlabeled retinal color fundus images. The performance of the overall system is evaluated on Retinopathy Online Challenge (ROC) competition database. A competition performance measure (CPM) of 0.364 shows the competitiveness of the proposed system against state-of-the art techniques as well as the applicability of the proposed features to analyze fundus images. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  12. BANKING SUPERVISION IN EUROPEAN UNION

    Directory of Open Access Journals (Sweden)

    Lavinia Mihaela GUȚU

    2013-10-01

    Full Text Available The need for prudential supervision imposed to banks by law arises from the action that banking market’s basic factors have. Therefore, it is about banks’ role in economy. The normal functioning of banks in all their important duties maintains the stability of banking system. Further, the stability of the entire economy depends on the stability of the banking system. Under conditions of imbalance regarding treasury or liquidity, banks are faced with unmanageable crisis and the consequences can be fatal. To ensure long-term stability of the banking system, supervisory regulations were constituted in order to prevent banks focusing on achieving rapidly high profits and protect the interests of depositors. Starting from this point, this paper will carry out a study on existing models of supervision in the European Union’s Member States. A comparison between them will support identifying the advantages and disadvantages of each of them.

  13. Supervision Experiences of Professional Counselors Providing Crisis Counseling

    Science.gov (United States)

    Dupre, Madeleine; Echterling, Lennis G.; Meixner, Cara; Anderson, Robin; Kielty, Michele

    2014-01-01

    In this phenomenological study, the authors explored supervision experiences of 13 licensed professional counselors in situations requiring crisis counseling. Five themes concerning crisis and supervision were identified from individual interviews. Findings support intensive, immediate crisis supervision and postlicensure clinical supervision.

  14. Application of Contingency Theories to the Supervision of Student Teachers.

    Science.gov (United States)

    Phelps, Julia D.

    1985-01-01

    This article examines selected approaches to student teacher supervision within the context of contingency theory. These include authentic supervision, developmental supervision, and supervision based on the student's level of maturity. (MT)

  15. Automatic segmentation of clinical texts.

    Science.gov (United States)

    Apostolova, Emilia; Channin, David S; Demner-Fushman, Dina; Furst, Jacob; Lytinen, Steven; Raicu, Daniela

    2009-01-01

    Clinical narratives, such as radiology and pathology reports, are commonly available in electronic form. However, they are also commonly entered and stored as free text. Knowledge of the structure of clinical narratives is necessary for enhancing the productivity of healthcare departments and facilitating research. This study attempts to automatically segment medical reports into semantic sections. Our goal is to develop a robust and scalable medical report segmentation system requiring minimum user input for efficient retrieval and extraction of information from free-text clinical narratives. Hand-crafted rules were used to automatically identify a high-confidence training set. This automatically created training dataset was later used to develop metrics and an algorithm that determines the semantic structure of the medical reports. A word-vector cosine similarity metric combined with several heuristics was used to classify each report sentence into one of several pre-defined semantic sections. This baseline algorithm achieved 79% accuracy. A Support Vector Machine (SVM) classifier trained on additional formatting and contextual features was able to achieve 90% accuracy. Plans for future work include developing a configurable system that could accommodate various medical report formatting and content standards.

  16. BANKING SUPERVISION IN EUROPEAN UNION

    OpenAIRE

    Lavinia Mihaela GUȚU; Vasile ILIE

    2013-01-01

    The need for prudential supervision imposed to banks by law arises from the action that banking market’s basic factors have. Therefore, it is about banks’ role in economy. The normal functioning of banks in all their important duties maintains the stability of banking system. Further, the stability of the entire economy depends on the stability of the banking system. Under conditions of imbalance regarding treasury or liquidity, banks are faced with unmanageable crisis and the consequences ca...

  17. Medical supervision of radiation workers

    International Nuclear Information System (INIS)

    1968-01-01

    The first part of this volume describes the effects of radiation on living organism, both at the overall and at the molecular level. Special attention is paid to the metabolism and toxicity of radioactivity substances. The second part deals with radiological exposure, natural, medical and occupational. The third part provides data on radiological protection standards, and the fourth part addresses the health supervision of workers exposed to ionizing radiation, covering both physical and medical control.

  18. Supervised Learning for Detection of Duplicates in Genomic Sequence Databases.

    Science.gov (United States)

    Chen, Qingyu; Zobel, Justin; Zhang, Xiuzhen; Verspoor, Karin

    2016-01-01

    First identified as an issue in 1996, duplication in biological databases introduces redundancy and even leads to inconsistency when contradictory information appears. The amount of data makes purely manual de-duplication impractical, and existing automatic systems cannot detect duplicates as precisely as can experts. Supervised learning has the potential to address such problems by building automatic systems that learn from expert curation to detect duplicates precisely and efficiently. While machine learning is a mature approach in other duplicate detection contexts, it has seen only preliminary application in genomic sequence databases. We developed and evaluated a supervised duplicate detection method based on an expert curated dataset of duplicates, containing over one million pairs across five organisms derived from genomic sequence databases. We selected 22 features to represent distinct attributes of the database records, and developed a binary model and a multi-class model. Both models achieve promising performance; under cross-validation, the binary model had over 90% accuracy in each of the five organisms, while the multi-class model maintains high accuracy and is more robust in generalisation. We performed an ablation study to quantify the impact of different sequence record features, finding that features derived from meta-data, sequence identity, and alignment quality impact performance most strongly. The study demonstrates machine learning can be an effective additional tool for de-duplication of genomic sequence databases. All Data are available as described in the supplementary material.

  19. Public sector physiotherapists believe that staff supervision should be broad ranging, individualised, structured, and based on needs and goals: a qualitative study

    Directory of Open Access Journals (Sweden)

    Annabel A Redpath

    2015-10-01

    Full Text Available Question: What do physiotherapists consider to be the structure and content of an effective clinical supervision program for public sector staff? Design: Qualitative study using emergent-systematic focus group design. Participants: 46 physiotherapists and six physiotherapy assistants from a large, regional, Australian health service participated in one of seven focus groups. Results: Data were represented by three major categories: the content of supervision; the structure of supervision; and participants’ roles and attributes. The content of supervision should encompass all issues affecting workplace experience and performance; supervision should be individualised and needs based. For the structure of supervision, a variety of methods and formats should be available, including: scheduled and unscheduled supervision (unscheduled supervision addresses needs as they arise but its usefulness can be restricted by supervisor availability; the environment should be organised to facilitate supervision; supervision should be integrated into existing practices; and supervision should be adequately prioritised and resourced to enable sustainability. In relation to participants’ roles and attributes, respondents recommended: clearly defined supervisor and supervisee roles, responsibilities, skills and attributes are required to facilitate a constructive relationship on which successful supervision depends; the supervisee should take primary responsibility for leading and organising their supervision; the supervisor provides support and accountability and assists with goal setting and attainment; and successful supervision requires considerable knowledge and skills from the supervisee and supervisor (supervision education and training might be necessary. Conclusion: The physiotherapists’ perspectives that were identified in this study are important to consider when assessing current clinical supervision models, as well as when designing and

  20. Breast tissue image classification based on Semi-supervised Locality Discriminant Projection with Kernels.

    Science.gov (United States)

    Li, Jun-Bao; Yu, Yang; Yang, Zhi-Ming; Tang, Lin-Lin

    2012-10-01

    Breast tissue classification is an important and effective way for computer aided diagnosis of breast cancer. We present Semi-supervised Locality Discriminant Projections with Kernels for breast cancer classification. The contributions of this work lie in: 1) Semi-supervised learning is used into Locality Preserving Projections (LPP) to enhance its performance using side-information together with the unlabelled training samples, while current algorithms only consider the side-information but ignoring the unlabeled training samples. 2) Kernel trick is applied into Semi-supervised LPP to improve its ability in the nonlinear classification. 3) The framework of breast cancer classification with Semi-supervised LPP with kernels is presented. Many experiments are implemented on four breast tissue databases to testify and evaluate the feasibility and affectivity of the proposed scheme.

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

    Science.gov (United States)

    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.

  2. Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning.

    Science.gov (United States)

    Cinbis, Ramazan Gokberk; Verbeek, Jakob; Schmid, Cordelia

    2017-01-01

    Object category localization is a challenging problem in computer vision. Standard supervised training requires bounding box annotations of object instances. This time-consuming annotation process is sidestepped in weakly supervised learning. In this case, the supervised information is restricted to binary labels that indicate the absence/presence of object instances in the image, without their locations. We follow a multiple-instance learning approach that iteratively trains the detector and infers the object locations in the positive training images. Our main contribution is a multi-fold multiple instance learning procedure, which prevents training from prematurely locking onto erroneous object locations. This procedure is particularly important when using high-dimensional representations, such as Fisher vectors and convolutional neural network features. We also propose a window refinement method, which improves the localization accuracy by incorporating an objectness prior. We present a detailed experimental evaluation using the PASCAL VOC 2007 dataset, which verifies the effectiveness of our approach.

  3. Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming.

    Science.gov (United States)

    Maduskar, Pragnya; Hogeweg, Laurens; de Jong, Pim A; Peters-Bax, Liesbeth; Dawson, Rodney; Ayles, Helen; Sánchez, Clara I; van Ginneken, Bram

    2014-07-01

    Efficacy of tuberculosis (TB) treatment is often monitored using chest radiography. Monitoring size of cavities in pulmonary tuberculosis is important as the size predicts severity of the disease and its persistence under therapy predicts relapse. The authors present a method for automatic cavity segmentation in chest radiographs. A two stage method is proposed to segment the cavity borders, given a user defined seed point close to the center of the cavity. First, a supervised learning approach is employed to train a pixel classifier using texture and radial features to identify the border pixels of the cavity. A likelihood value of belonging to the cavity border is assigned to each pixel by the classifier. The authors experimented with four different classifiers:k-nearest neighbor (kNN), linear discriminant analysis (LDA), GentleBoost (GB), and random forest (RF). Next, the constructed likelihood map was used as an input cost image in the polar transformed image space for dynamic programming to trace the optimal maximum cost path. This constructed path corresponds to the segmented cavity contour in image space. The method was evaluated on 100 chest radiographs (CXRs) containing 126 cavities. The reference segmentation was manually delineated by an experienced chest radiologist. An independent observer (a chest radiologist) also delineated all cavities to estimate interobserver variability. Jaccard overlap measure Ω was computed between the reference segmentation and the automatic segmentation; and between the reference segmentation and the independent observer's segmentation for all cavities. A median overlap Ω of 0.81 (0.76 ± 0.16), and 0.85 (0.82 ± 0.11) was achieved between the reference segmentation and the automatic segmentation, and between the segmentations by the two radiologists, respectively. The best reported mean contour distance and Hausdorff distance between the reference and the automatic segmentation were, respectively, 2.48 ± 2.19 and 8.32

  4. Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming

    International Nuclear Information System (INIS)

    Maduskar, Pragnya; Hogeweg, Laurens; Sánchez, Clara I.; Ginneken, Bram van; Jong, Pim A. de; Peters-Bax, Liesbeth; Dawson, Rodney; Ayles, Helen

    2014-01-01

    Purpose: Efficacy of tuberculosis (TB) treatment is often monitored using chest radiography. Monitoring size of cavities in pulmonary tuberculosis is important as the size predicts severity of the disease and its persistence under therapy predicts relapse. The authors present a method for automatic cavity segmentation in chest radiographs. Methods: A two stage method is proposed to segment the cavity borders, given a user defined seed point close to the center of the cavity. First, a supervised learning approach is employed to train a pixel classifier using texture and radial features to identify the border pixels of the cavity. A likelihood value of belonging to the cavity border is assigned to each pixel by the classifier. The authors experimented with four different classifiers:k-nearest neighbor (kNN), linear discriminant analysis (LDA), GentleBoost (GB), and random forest (RF). Next, the constructed likelihood map was used as an input cost image in the polar transformed image space for dynamic programming to trace the optimal maximum cost path. This constructed path corresponds to the segmented cavity contour in image space. Results: The method was evaluated on 100 chest radiographs (CXRs) containing 126 cavities. The reference segmentation was manually delineated by an experienced chest radiologist. An independent observer (a chest radiologist) also delineated all cavities to estimate interobserver variability. Jaccard overlap measure Ω was computed between the reference segmentation and the automatic segmentation; and between the reference segmentation and the independent observer's segmentation for all cavities. A median overlap Ω of 0.81 (0.76 ± 0.16), and 0.85 (0.82 ± 0.11) was achieved between the reference segmentation and the automatic segmentation, and between the segmentations by the two radiologists, respectively. The best reported mean contour distance and Hausdorff distance between the reference and the automatic segmentation were

  5. The Apprentice: an Innovative Approach to Meet the Behavior Analysis Certification Board's Supervision Standards.

    Science.gov (United States)

    Hartley, Breanne K; Courtney, William T; Rosswurm, Mary; LaMarca, Vincent J

    2016-12-01

    The Behavior Analysis Certification Board continues to increase the standards for supervision of trainees, which is needed in order for the field to continually improve. However, this presents a challenge for organizations to meet the needs of both their clients and their supervisees based on these increasing standards. Throughout the ages, experts in all trades have passed along their knowledge and skill through apprenticeship opportunities. An apprenticeship supervision model is described that allows Board Certified Behavior Analysts to supervise future behavior analysts by mentoring, educating, and training supervisees on the science of human behavior in a format that is mutually beneficial. This innovative supervision model is discussed as it applies to an applied behavior analysis human service organization with the goal of creating a system that results in high-quality supervision in a cost-effective manner while providing maximal learning for the supervisee. The organization's previous supervision difficulties are described prior to implementing the apprenticeship supervision model, and the benefits of developing and using the apprenticeship supervision model are outlined.

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

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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…

  8. Concepts of nurses on supervised treatment of tuberculosis in Brazil

    Directory of Open Access Journals (Sweden)

    Roberta Cristina Zago Ferreira

    2015-08-01

    Full Text Available Objective: To analyze the conception of the primary care nurses about the viability of supervised treatment for tuberculosis. Methods: This was an exploratory descriptive study with 11 nurses. The interviews were recorded, transcribed and the data were organized in facilitators and hindering for supervised treatment. The Ethics Committee on Research in Human Beings, opinion No. 112.520, approved the study. Results: The nurses considered the small number of professionals, the lack of community healthcare agents, lack of in-service education and communication problems with the reference center as complicating the viability of supervised treatment and identify that the bond facilitates the adherence to treatment as well as the flexibilization in time of taking the medicine, the care incentives such as basic food, vouchers, milk donation in addition to medication availability. Conclusions: The findings of this study indicate that high demand and diversity of actions on the responsibility of the nurse, associated with reduced number of professionals, hamper the attention to supervised treatment, and suggest adjustments to increase their effectiveness, as more training and space for professionals to exchange experiences, acknowledge the effectiveness of a treatment modality for tuberculosis.

  9. Integrating the Supervised Information into Unsupervised Learning

    Directory of Open Access Journals (Sweden)

    Ping Ling

    2013-01-01

    Full Text Available This paper presents an assembling unsupervised learning framework that adopts the information coming from the supervised learning process and gives the corresponding implementation algorithm. The algorithm consists of two phases: extracting and clustering data representatives (DRs firstly to obtain labeled training data and then classifying non-DRs based on labeled DRs. The implementation algorithm is called SDSN since it employs the tuning-scaled Support vector domain description to collect DRs, uses spectrum-based method to cluster DRs, and adopts the nearest neighbor classifier to label non-DRs. The validation of the clustering procedure of the first-phase is analyzed theoretically. A new metric is defined data dependently in the second phase to allow the nearest neighbor classifier to work with the informed information. A fast training approach for DRs’ extraction is provided to bring more efficiency. Experimental results on synthetic and real datasets verify that the proposed idea is of correctness and performance and SDSN exhibits higher popularity in practice over the traditional pure clustering procedure.

  10. Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles

    Science.gov (United States)

    Li, Ke; Ye, Chuyang; Yang, Zhen; Carass, Aaron; Ying, Sarah H.; Prince, Jerry L.

    2016-03-01

    Cerebellar peduncles (CPs) are white matter tracts connecting the cerebellum to other brain regions. Automatic segmentation methods of the CPs have been proposed for studying their structure and function. Usually the performance of these methods is evaluated by comparing segmentation results with manual delineations (ground truth). However, when a segmentation method is run on new data (for which no ground truth exists) it is highly desirable to efficiently detect and assess algorithm failures so that these cases can be excluded from scientific analysis. In this work, two outlier detection methods aimed to assess the performance of an automatic CP segmentation algorithm are presented. The first one is a univariate non-parametric method using a box-whisker plot. We first categorize automatic segmentation results of a dataset of diffusion tensor imaging (DTI) scans from 48 subjects as either a success or a failure. We then design three groups of features from the image data of nine categorized failures for failure detection. Results show that most of these features can efficiently detect the true failures. The second method—supervised classification—was employed on a larger DTI dataset of 249 manually categorized subjects. Four classifiers—linear discriminant analysis (LDA), logistic regression (LR), support vector machine (SVM), and random forest classification (RFC)—were trained using the designed features and evaluated using a leave-one-out cross validation. Results show that the LR performs worst among the four classifiers and the other three perform comparably, which demonstrates the feasibility of automatically detecting segmentation failures using classification methods.

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

    Science.gov (United States)

    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

  12. Public sector physiotherapists believe that staff supervision should be broad ranging, individualised, structured, and based on needs and goals: a qualitative study.

    Science.gov (United States)

    Redpath, Annabel A; Gill, Stephen D; Finlay, Nancy; Brennan, Fiona; Hakkennes, Sharon

    2015-10-01

    What do physiotherapists consider to be the structure and content of an effective clinical supervision program for public sector staff? Qualitative study using emergent-systematic focus group design. 46 physiotherapists and six physiotherapy assistants from a large, regional, Australian health service participated in one of seven focus groups. Data were represented by three major categories: the content of supervision; the structure of supervision; and participants' roles and attributes. The content of supervision should encompass all issues affecting workplace experience and performance; supervision should be individualised and needs based. For the structure of supervision, a variety of methods and formats should be available, including: scheduled and unscheduled supervision (unscheduled supervision addresses needs as they arise but its usefulness can be restricted by supervisor availability); the environment should be organised to facilitate supervision; supervision should be integrated into existing practices; and supervision should be adequately prioritised and resourced to enable sustainability. In relation to participants' roles and attributes, respondents recommended: clearly defined supervisor and supervisee roles, responsibilities, skills and attributes are required to facilitate a constructive relationship on which successful supervision depends; the supervisee should take primary responsibility for leading and organising their supervision; the supervisor provides support and accountability and assists with goal setting and attainment; and successful supervision requires considerable knowledge and skills from the supervisee and supervisor (supervision education and training might be necessary). The physiotherapists' perspectives that were identified in this study are important to consider when assessing current clinical supervision models, as well as when designing and implementing effective physiotherapy supervision programs. Crown Copyright © 2015

  13. Supervised Object Class Colour Normalisation

    DEFF Research Database (Denmark)

    Riabchenko, Ekatarina; Lankinen, Jukka; Buch, Anders Glent

    2013-01-01

    Colour is an important cue in many applications of computer vision and image processing, but robust usage often requires estimation of the unknown illuminant colour. Usually, to obtain images invariant to the illumination conditions under which they were taken, color normalisation is used....... In this work, we develop a such colour normalisation technique, where true colours are not important per se but where examples of same classes have photometrically consistent appearance. This is achieved by supervised estimation of a class specic canonical colour space where the examples have minimal variation...

  14. Semi-supervised dimensionality reduction using estimated class membership probabilities

    Science.gov (United States)

    Li, Wei; Ruan, Qiuqi; Wan, Jun

    2012-10-01

    In solving pattern-recognition tasks with partially labeled training data, the semi-supervised dimensionality reduction method, which considers both labeled and unlabeled data, is preferable for improving the classification and generalization capability of the testing data. Among such techniques, graph-based semi-supervised learning methods have attracted a lot of attention due to their appealing properties in discovering discriminative structure and geometric structure of data points. Although they have achieved remarkable success, they cannot promise good performance when the size of the labeled data set is small, as a result of inaccurate class matrix variance approximated by insufficient labeled training data. In this paper, we tackle this problem by combining class membership probabilities estimated from unlabeled data and ground-truth class information associated with labeled data to more precisely characterize the class distribution. Therefore, it is expected to enhance performance in classification tasks. We refer to this approach as probabilistic semi-supervised discriminant analysis (PSDA). The proposed PSDA is applied to face and facial expression recognition tasks and is evaluated using the ORL, Extended Yale B, and CMU PIE face databases and the Cohn-Kanade facial expression database. The promising experimental results demonstrate the effectiveness of our proposed method.

  15. Artificial intelligence in sports on the example of weight training.

    Science.gov (United States)

    Novatchkov, Hristo; Baca, Arnold

    2013-01-01

    The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key pointsArtificial intelligence is a promising field for sport-related analysis.Implementations integrating pattern recognition techniques enable the automatic evaluation of data

  16. Automatic fluid dispenser

    Science.gov (United States)

    Sakellaris, P. C. (Inventor)

    1977-01-01

    Fluid automatically flows to individual dispensing units at predetermined times from a fluid supply and is available only for a predetermined interval of time after which an automatic control causes the fluid to drain from the individual dispensing units. Fluid deprivation continues until the beginning of a new cycle when the fluid is once again automatically made available at the individual dispensing units.

  17. 38 CFR 36.4226 - Withdrawal of authority to close manufactured home loans on the automatic basis.

    Science.gov (United States)

    2010-07-01

    ... both supervised and nonsupervised lenders may be withdrawn for engaging in practices which are... newly approved automatic lenders, automatic authority may be withdrawn based upon poor underwriting or... show deficiencies in credit underwriting, such as use of unstable sources of income to qualify the...

  18. A Supervised Classification Algorithm for Note Onset Detection

    Directory of Open Access Journals (Sweden)

    Lacoste Alexandre

    2007-01-01

    Full Text Available This paper presents a novel approach to detecting onsets in music audio files. We use a supervised learning algorithm to classify spectrogram frames extracted from digital audio as being onsets or nononsets. Frames classified as onsets are then treated with a simple peak-picking algorithm based on a moving average. We present two versions of this approach. The first version uses a single neural network classifier. The second version combines the predictions of several networks trained using different hyperparameters. We describe the details of the algorithm and summarize the performance of both variants on several datasets. We also examine our choice of hyperparameters by describing results of cross-validation experiments done on a custom dataset. We conclude that a supervised learning approach to note onset detection performs well and warrants further investigation.

  19. A supervised learning rule for classification of spatiotemporal spike patterns.

    Science.gov (United States)

    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.

  20. Supervised and Unsupervised Classification for Pattern Recognition Purposes

    Directory of Open Access Journals (Sweden)

    Catalina COCIANU

    2006-01-01

    Full Text Available A cluster analysis task has to identify the grouping trends of data, to decide on the sound clusters as well as to validate somehow the resulted structure. The identification of the grouping tendency existing in a data collection assumes the selection of a framework stated in terms of a mathematical model allowing to express the similarity degree between couples of particular objects, quasi-metrics expressing the similarity between an object an a cluster and between clusters, respectively. In supervised classification, we are provided with a collection of preclassified patterns, and the problem is to label a newly encountered pattern. Typically, the given training patterns are used to learn the descriptions of classes which in turn are used to label a new pattern. The final section of the paper presents a new methodology for supervised learning based on PCA. The classes are represented in the measurement/feature space by a continuous repartitions

  1. Semi-supervised clustering methods

    Science.gov (United States)

    Bair, Eric

    2013-01-01

    Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set. In many situations, however, information about the clusters is available in addition to the values of the features. For example, the cluster labels of some observations may be known, or certain observations may be known to belong to the same cluster. In other cases, one may wish to identify clusters that are associated with a particular outcome variable. This review describes several clustering algorithms (known as “semi-supervised clustering” methods) that can be applied in these situations. The majority of these methods are modifications of the popular k-means clustering method, and several of them will be described in detail. A brief description of some other semi-supervised clustering algorithms is also provided. PMID:24729830

  2. Judicial supervision of enforcement agents

    Directory of Open Access Journals (Sweden)

    Bodiroga Nikola

    2015-01-01

    Full Text Available The main focus of this paper is the supervision of enforcement agents conducted by enforcement courts. Law on Enforcement and Security recognizes three levels of control of enforcement agents. Certain monitoring powers are delegated to the Ministry of Justice and to Chamber of Enforcement Agents. However, for parties and other participants to enforcement proceedings control of enforcement agents implemented by enforcement courts seems to be the most important one. The strongest powers of enforcement agents are related to the special procedure for collection of claims for utilities and other similar services (exclusive competence of enforcement agents and for carrying out the enforcement (if enforcement creditor has requested it. When it comes to special procedure for collection of claims for utilities and other similar services objection can be used in order to control legality of decisions rendered by enforcements agents. However, many procedural issues related to the objection procedure remain unsolved. Motion for correction of irregularities is the only legal remedy that can be used when enforcement is being carried out by enforcement agents. This legal remedy cannot be considered an effective one in the sense of Article 13 European Convention for Protection of Human Rights and Fundamental Liberties. The new proposed Law on Enforcement and Security expected to come into force on July 1, 2016, will delegate the exclusive competence for carrying out the enforcement to enforcement agents (except cases related to family relations and reinstatement, but it will not improve the court supervision of their work.

  3. The Optimization of setting the Supervision in Organization

    OpenAIRE

    Vyštejnová, Markéta

    2015-01-01

    The Optimization of setting the Supervision in Organization Abstract This diploma thesis aims to optimize supervision in organization providing social services. The theoretical part contains chapters about supervision, explains the function and types of supervision, the supervisor's personality, the content of the supervision contract and ethical principles in supervision. This part describes the organization's culture and its impact on supervision. The theoretical part concludes with a chapt...

  4. Supervised exercise reduces cancer-related fatigue: a systematic review

    Directory of Open Access Journals (Sweden)

    José F Meneses-Echávez

    2015-01-01

    Full Text Available Question: Does supervised physical activity reduce cancer-related fatigue? Design: Systematic review with meta-analysis of randomised trials. Participants: People diagnosed with any type of cancer, without restriction to a particular stage of diagnosis or treatment. Intervention: Supervised physical activity interventions (eg, aerobic, resistance and stretching exercise, defined as any planned or structured body movement causing an increase in energy expenditure, designed to maintain or enhance health-related outcomes, and performed with systematic frequency, intensity and duration. Outcome measures: The primary outcome measure was fatigue. Secondary outcomes were physical and functional wellbeing assessed using the Functional Assessment of Cancer Therapy Fatigue Scale, European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire, Piper Fatigue Scale, Schwartz Cancer Fatigue Scale and the Multidimensional Fatigue Inventory. Methodological quality, including risk of bias of the studies, was evaluated using the PEDro Scale. Results: Eleven studies involving 1530 participants were included in the review. The assessment of quality showed a mean score of 6.5 (SD 1.1, indicating a low overall risk of bias. The pooled effect on fatigue, calculated as a standardised mean difference (SMD using a random-effects model, was –1.69 (95% CI –2.99 to –0.39. Beneficial reductions in fatigue were also found with combined aerobic and resistance training with supervision (SMD = –0.41, 95% CI –0.70 to –0.13 and with combined aerobic, resistance and stretching training with supervision (SMD = –0.67, 95% CI –1.17 to –0.17. Conclusion: Supervised physical activity interventions reduce cancer-related fatigue. These findings suggest that combined aerobic and resistance exercise regimens with or without stretching should be included as part of rehabilitation programs for people who have been diagnosed with cancer

  5. Patient-specific semi-supervised learning for postoperative brain tumor segmentation.

    Science.gov (United States)

    Meier, Raphael; Bauer, Stefan; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio

    2014-01-01

    In contrast to preoperative brain tumor segmentation, the problem of postoperative brain tumor segmentation has been rarely approached so far. We present a fully-automatic segmentation method using multimodal magnetic resonance image data and patient-specific semi-supervised learning. The idea behind our semi-supervised approach is to effectively fuse information from both pre- and postoperative image data of the same patient to improve segmentation of the postoperative image. We pose image segmentation as a classification problem and solve it by adopting a semi-supervised decision forest. The method is evaluated on a cohort of 10 high-grade glioma patients, with segmentation performance and computation time comparable or superior to a state-of-the-art brain tumor segmentation method. Moreover, our results confirm that the inclusion of preoperative MR images lead to a better performance regarding postoperative brain tumor segmentation.

  6. Clinical supervision in a challenging behaviour unit.

    Science.gov (United States)

    Carney, Stewart

    As part of an ongoing service development programme at St Andrew's Hospital, Northampton, it was identified that it would be beneficial to explore whether qualified nursing staff in the hospital's five clinical divisions were satisfied with the clinical supervision they received. Also, the survey examined whether supervision was of good quality, was suitable for different specialist environments and if it affected motivation, skills, confidence and stress levels. The survey also explored if there was a difference between D or E-grade nurses and nurses who are F grade and above regarding their perception of clinical supervision. This included a Likert scaled questionnaire (Ladany et al, 1996); and a retrospective (ex-post-facto) cross-sectional survey design. A questionnaire and information sheet was dispatched to 50 qualified nursing staff. Ten nurses from each of the five divisions were invited to participate. After one month, 35 (70 per cent) had returned the questionnaires. Senior staff benefit more and are more satisfied with regular supervision than junior staff. The survey shows that clinical supervision is in quite good shape, with most nurses receiving regular supervision within a limited time span. Large numbers of qualified nurses receive supervision in the hospital and this is extremely positive. However, there are a number of discrepancies regarding who receives supervision, and within what time frame, and why so many qualified nurses feel the supervision is not helping them work more effectively.

  7. Technical Training for Managers.

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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.

  9. Examining clinical supervision as a mechanism for changes in practice: a research protocol.

    Science.gov (United States)

    Dilworth, Sophie; Higgins, Isabel; Parker, Vicki; Kelly, Brian; Turner, Jane

    2014-02-01

    This paper describes the research protocol for a study exploring if and how clinical supervision facilitates change in practice relating to psychosocial aspects of care for Health Professionals, who have been trained to deliver a psychosocial intervention to adults with cancer. There is a recognized need to implement care that is in line with clinical practice guidelines for the psychosocial care of adults with cancer. Clinical supervision is recommended as a means to support Health Professionals in providing the recommended psychosocial care. A qualitative design embedded within an experimental, stepped wedge randomized control trial. The study will use discourse analysis to analyse audio-recorded data collected in clinical supervision sessions that are being delivered as one element of a large randomized control trial. The sessions will be attended primarily by nurses, but including physiotherapists, radiation therapists, occupational therapists. The Health Professionals are participants in a randomized control trial designed to reduce anxiety and depression of distressed adults with cancer. The sessions will be facilitated by psychiatrists experienced in psycho-oncology and the provision of clinical supervision. The proposed research is designed specifically to facilitate exploration of the mechanisms by which clinical supervision enables Health Professionals to deliver a brief, tailored psychosocial intervention in the context of their everyday practice. This is the first study to use discourse analysis embedded within an experimental randomized control trial to explore the mechanisms of change generated within clinical supervision by analysing the discourse within the clinical supervision sessions. © 2013 John Wiley & Sons Ltd.

  10. Social bonds under supervision : Associating social bonds of probationers with supervision failure

    NARCIS (Netherlands)

    Lamet, W.; Dirkzwager, A.J.E.; Denkers, A.J.M.; van der Laan, P.H.

    2013-01-01

    Little is known about the role of social bonds and criminal bonds in relation to probation supervision failure. This study examined probation supervision failure in a sample of 13,091 discharged adult probationers in the Netherlands. We examined the relationship between supervision failure and

  11. Empirical study of supervised gene screening

    Directory of Open Access Journals (Sweden)

    Ma Shuangge

    2006-12-01

    Full Text Available Abstract Background Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray measurements usually consists of three steps: (1 unsupervised gene screening; (2 supervised gene screening; and (3 statistical model building. Supervised gene screening based on marginal gene ranking is commonly used to reduce the number of genes in the model building. Various simple statistics, such as t-statistic or signal to noise ratio, have been used to rank genes in the supervised screening. Despite of its extensive usage, statistical study of supervised gene screening remains scarce. Our study is partly motivated by the differences in gene discovery results caused by using different supervised gene screening methods. Results We investigate concordance and reproducibility of supervised gene screening based on eight commonly used marginal statistics. Concordance is assessed by the relative fractions of overlaps between top ranked genes screened using different marginal statistics. We propose a Bootstrap Reproducibility Index, which measures reproducibility of individual genes under the supervised screening. Empirical studies are based on four public microarray data. We consider the cases where the top 20%, 40% and 60% genes are screened. Conclusion From a gene discovery point of view, the effect of supervised gene screening based on different marginal statistics cannot be ignored. Empirical studies show that (1 genes passed different supervised screenings may be considerably different; (2 concordance may vary, depending on the underlying data structure and percentage of selected genes; (3 evaluated with the Bootstrap Reproducibility Index, genes passed supervised screenings are only moderately reproducible; and (4 concordance cannot be improved by supervised screening based on reproducibility.

  12. Educating Occupational Therapists in the Use of Theory and Evidence to Enhance Supervision Practice

    Directory of Open Access Journals (Sweden)

    Melanie J. Roberts

    2017-10-01

    Full Text Available This paper describes the implementation of a unique learning experience aimed at enhancing the quality of supervision practice in occupational therapy at the Gold Coast Hospital and Health Service. The package was designed by experienced occupational therapy educators based on adult, blended, and flipped learning approaches with content developed following administration of a standardized tool and semi-structured interviews. The learning package focused particularly on the logistics of supervision and the use of occupational therapy theory and evidence with supervision. The training for supervising therapists included a workshop and pre and post workshop learning activities. This collaborative research approach to designing and implementing a learning package as well as the specific content of the ongoing education opportunities could also be transferred to other services.

  13. Self-supervised dynamical systems

    International Nuclear Information System (INIS)

    Zak, Michail

    2004-01-01

    A new type of dynamical systems which capture the interactions via information flows typical for active multi-agent systems is introduced. The mathematical formalism is based upon coupling the classical dynamical system (with random components caused by uncertainties in initial conditions as well as by Langevin forces) with the corresponding Liouville or the Fokker-Planck equations describing evolution of these uncertainties in terms of probability density. The coupling is implemented by information-based supervising forces which fundamentally change the patterns of probability evolution. It is demonstrated that the probability density can approach prescribed attractors while exhibiting such patterns as shock waves, solitons and chaos in probability space. Applications of these phenomena to information-based neural nets, expectation-based cooperation, self-programmed systems, control chaos using terminal attractors as well as to games with incomplete information, are addressed. A formal similarity between the mathematical structure of the introduced dynamical systems and quantum mechanics is discussed

  14. 28 CFR 2.207 - Supervision reports to Commission.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision reports to Commission. 2.207....207 Supervision reports to Commission. A regular supervision report shall be submitted to the Commission by the supervision officer after the completion of 12 months of continuous community supervision...

  15. A neurocomputational model of automatic sequence production.

    Science.gov (United States)

    Helie, Sebastien; Roeder, Jessica L; Vucovich, Lauren; Rünger, Dennis; Ashby, F Gregory

    2015-07-01

    Most behaviors unfold in time and include a sequence of submovements or cognitive activities. In addition, most behaviors are automatic and repeated daily throughout life. Yet, relatively little is known about the neurobiology of automatic sequence production. Past research suggests a gradual transfer from the associative striatum to the sensorimotor striatum, but a number of more recent studies challenge this role of the BG in automatic sequence production. In this article, we propose a new neurocomputational model of automatic sequence production in which the main role of the BG is to train cortical-cortical connections within the premotor areas that are responsible for automatic sequence production. The new model is used to simulate four different data sets from human and nonhuman animals, including (1) behavioral data (e.g., RTs), (2) electrophysiology data (e.g., single-neuron recordings), (3) macrostructure data (e.g., TMS), and (4) neurological circuit data (e.g., inactivation studies). We conclude with a comparison of the new model with existing models of automatic sequence production and discuss a possible new role for the BG in automaticity and its implication for Parkinson's disease.

  16. Interaction in PhD supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie; Grout, Brian William Wilson; Rump, Camilla Østerberg

    This paper contains an analysis of a single supervision session, undertaken with the aim of identifying how learning opportunities might be created for a PhD student. The supervision session concerned methodologies to be employed in a PhD study related to storm water management and included the P...

  17. On Cavellian scepticism and postgraduate student supervision ...

    African Journals Online (AJOL)

    In this essay I offer an imaginary of postgraduate student supervision focusing on sceptical encounters with the other. Drawing on the seminal thoughts of Harvard philosopher Stanley Cavell (1997), particularly on his ideas on 'living with scepticism', I argue that postgraduate student supervision ought to be an encounter ...

  18. A Phenomenological Investigation of "Good" Supervision Events.

    Science.gov (United States)

    Worthen, Vaughn; McNeill, Brian W.

    1996-01-01

    Explored the experience of "good" supervision events from the perspective of supervisees using a qualitative phenomenological research methodology. Eight intermediate-level to advanced-level trainees participated in a tape-recorded interview in which they described a recent good supervision experience, yielding transcripts that were subjected to a…

  19. On Cavellian Scepticism and Postgraduate Student Supervision

    Science.gov (United States)

    Waghid, Y.

    2011-01-01

    In this essay I offer an imaginary of postgraduate student supervision focusing on sceptical encounters with the other. Drawing on the seminal thoughts of Harvard philosopher Stanley Cavell (1997), particularly on his ideas on "living with scepticism", I argue that postgraduate student supervision ought to be an encounter framed by…

  20. A Gestalt Approach to Group Supervision

    Science.gov (United States)

    Melnick, Joseph; Fall, Marijane

    2008-01-01

    The authors define and then describe the practice of group supervision. The role of creative experiment in assisting supervisees who perceive themselves as confused, moving in circles, or immobilized is described. Fictional case examples illustrate these issues in supervision. The authors posit the "good fit" of Gestalt theory and techniques with…

  1. The Agile Approach with Doctoral Dissertation Supervision

    Science.gov (United States)

    Tengberg, Lars Göran Wallgren

    2015-01-01

    Several research findings conclude that many doctoral students fail to complete their studies within the allowable time frame, in part because of problems related to the research and supervision process. Surveys show that most doctoral students are generally satisfied with their dissertation supervision. However, these surveys also reveal some…

  2. 19 CFR 111.28 - Responsible supervision.

    Science.gov (United States)

    2010-04-01

    ... exercise responsible supervision and control (see § 111.1) over the transaction of the customs business of... 19 Customs Duties 1 2010-04-01 2010-04-01 false Responsible supervision. 111.28 Section 111.28 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE...

  3. Applying Services Marketing Principles to Postgraduate Supervision

    Science.gov (United States)

    Dann, Stephen

    2008-01-01

    Purpose: The paper aims to describe the application of two key service quality frameworks for improving the delivery of postgraduate research supervision. The services quality frameworks are used to identify key areas of overlap between services marketing practice and postgraduate supervision that can be used by the supervisor to improve research…

  4. The Elements: A Model of Mindful Supervision

    Science.gov (United States)

    Sturm, Deborah C.; Presbury, Jack; Echterling, Lennis G.

    2012-01-01

    Mindfulness, based on an ancient spiritual practice, is a core quality and way of being that can deepen and enrich the supervision of counselors. This model of mindful supervision incorporates Buddhist and Hindu conceptualizations of the roles of the five elements--space, earth, water, fire, air--as they relate to adhikara or studentship, the…

  5. Boosting for Multiclass Semi-Supervised Learning

    NARCIS (Netherlands)

    Tanha, J.; van Someren, M.; Afsarmanesh, H.

    2014-01-01

    We present an algorithm for multiclass semi-supervised learning, which is learning from a limited amount of labeled data and plenty of unlabeled data. Existing semi-supervised learning algorithms use approaches such as one-versus-all to convert the multiclass problem to several binary classification

  6. Supervision of Psychotherapy: Models, Issues, and Recommendations

    Science.gov (United States)

    Westefeld, John S.

    2009-01-01

    Current models and issues related to psychotherapy supervision are examined. These include ethical and legal issues, problems of interpersonal competence, and multicultural issues. As a part of this analysis, interviews about supervision with five prominent counseling psychologists are included to provide their perspectives. Implications for the…

  7. 19 CFR 146.3 - Customs supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Customs supervision. 146.3 Section 146.3 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY (CONTINUED) FOREIGN TRADE ZONES General Provisions § 146.3 Customs supervision. (a) Assignment of Customs...

  8. How Does Supervision Support Inclusive Teacherhood?

    Science.gov (United States)

    Alila, Sanna; Määttä, Kaarina; Uusiautti, Satu

    2016-01-01

    Supervision is a multidimensional concept and phenomenon. In this study, the advantages of supervision and its development in inclusive teacherhood was studied. Inclusive teacherhood means a teacher's professional development and the school culture's change toward participatory school for all students. The study analyzed the views of supervisors…

  9. 36 CFR 25.3 - Supervision; suspensions.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 1 2010-07-01 2010-07-01 false Supervision; suspensions. 25.3 Section 25.3 Parks, Forests, and Public Property NATIONAL PARK SERVICE, DEPARTMENT OF THE INTERIOR NATIONAL MILITARY PARKS; LICENSED GUIDE SERVICE REGULATIONS § 25.3 Supervision; suspensions. (a) The guide...

  10. 17 CFR 166.3 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 1 2010-04-01 2010-04-01 false Supervision. 166.3 Section 166.3 Commodity and Securities Exchanges COMMODITY FUTURES TRADING COMMISSION CUSTOMER PROTECTION RULES § 166.3 Supervision. Each Commission registrant, except an associated person who has no supervisory...

  11. 32 CFR 552.65 - Command supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 3 2010-07-01 2010-07-01 true Command supervision. 552.65 Section 552.65 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY MILITARY RESERVATIONS AND....65 Command supervision. (a) All insurance business conducted on Army installation will be by...

  12. Teacher Supervision Practices and Principals' Characteristics

    Science.gov (United States)

    April, Daniel; Bouchamma, Yamina

    2015-01-01

    A questionnaire was used to determine the individual and collective teacher supervision practices of school principals and vice-principals in Québec (n = 39) who participated in a research-action study on pedagogical supervision. These practices were then analyzed in terms of the principals' sociodemographic and socioprofessional characteristics…

  13. 27 CFR 24.30 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Supervision. 24.30 Section 24.30 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Administrative and Miscellaneous Provisions Authorities § 24.30 Supervision...

  14. 28 CFR 551.32 - Staff supervision.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Staff supervision. 551.32 Section 551.32 Judicial Administration BUREAU OF PRISONS, DEPARTMENT OF JUSTICE INSTITUTIONAL MANAGEMENT MISCELLANEOUS Inmate Organizations § 551.32 Staff supervision. (a) The Warden shall appoint a staff member as the...

  15. 9 CFR 145.11 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 145.11 Section 145.11 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... Supervision. (a) The Official State Agency may designate qualified persons as Authorized Agents to do the...

  16. 21 CFR 640.62 - Medical supervision.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 7 2010-04-01 2010-04-01 false Medical supervision. 640.62 Section 640.62 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) BIOLOGICS ADDITIONAL STANDARDS FOR HUMAN BLOOD AND BLOOD PRODUCTS Source Plasma § 640.62 Medical supervision. A...

  17. Supportive supervision for medicines management in government ...

    African Journals Online (AJOL)

    Introduction: effective supportive supervision is widely recognized as essential for optimal management of medicines in government health facilities and also in contributing towards improved access and utilization of health services. This study sought to examine the extent supportive supervision for medicines management ...

  18. 9 CFR 146.10 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... Supervision. (a) The Official State Agency may designate qualified persons as Authorized Agents to do the...

  19. Professional Supervision as Storied Experience: Narrative Analysis Findings for Australian-Based Registered Music Therapists.

    Science.gov (United States)

    Kennelly, Jeanette D; Baker, Felicity A; Daveson, Barbara A

    2017-03-01

    Limited research exists to inform a music therapist's supervision story from their pre-professional training to their practice as a professional. Evidence is needed to understand the complex nature of supervision experiences and their impact on professional practice. This qualitative study explored the supervisory experiences of Australian-based Registered Music Therapists, according to the: 1) themes that characterize their experiences, 2) influences of the supervisor's professional background, 3) outcomes of supervision, and 4) roles of the employer, the professional music therapy association, and the university in supervision standards and practice. Seven professionals were interviewed for this study. Five stages of narrative analysis were used to create their supervision stories: a life course graph, narrative psychological analysis, component story framework and narrative analysis, analysis of narratives, and final integration of the seven narrative summaries. Findings revealed that supervision practice is influenced by a supervisee's personal and professional needs. A range of supervision models or approaches is recommended, including the access of supervisors from different professional backgrounds to support each stage of learning and development. A quality supervisory experience facilitates shifts in awareness and insight, which results in improved or increased skills, confidence, and accountability of practice. Participants' concern about stakeholders included a limited understanding of the role of the supervisor, a lack of clarity about accountability of supervisory practice, and minimal guidelines, which monitor professional competencies. The benefits of supervision in music therapy depend on the quality of the supervision provided, and clarity about the roles of those involved. Research and guidelines are recommended to target these areas. © the American Music Therapy Association 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  20. Automatic Hierarchical Color Image Classification

    Directory of Open Access Journals (Sweden)

    Jing Huang

    2003-02-01

    Full Text Available Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classification attempts to solve this hard problem by using low-level image features. In this paper, we propose a method for hierarchical classification of images via supervised learning. This scheme relies on using a good low-level feature and subsequently performing feature-space reconfiguration using singular value decomposition to reduce noise and dimensionality. We use the training data to obtain a hierarchical classification tree that can be used to categorize new images. Our experimental results suggest that this scheme not only performs better than standard nearest-neighbor techniques, but also has both storage and computational advantages.

  1. Effective use of technology in clinical supervision

    Directory of Open Access Journals (Sweden)

    Priya Martin

    2017-06-01

    Full Text Available Clinical supervision is integral to continuing professional development of health professionals. With advances in technology, clinical supervision too can be undertaken using mediums such as videoconference, email and teleconference. This mode of clinical supervision is termed as telesupervision. While telesupervision could be useful in any context, its value is amplified for health professionals working in rural and remote areas where access to supervisors within the local work environment is often diminished. While telesupervision offers innovative means to undertake clinical supervision, there remain gaps in the literature in terms of its parameters of use in clinical practice. This article outlines ten evidence-informed, practical tips stemming from a review of the literature that will enable health care stakeholders to use technology effectively and efficiently while undertaking clinical supervision. By highlighting the “how to” aspect, telesupervision can be delivered in the right way, to the right health professional, at the right time.

  2. Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification

    Directory of Open Access Journals (Sweden)

    Zhi He

    2017-10-01

    Full Text Available Classification of hyperspectral image (HSI is an important research topic in the remote sensing community. Significant efforts (e.g., deep learning have been concentrated on this task. However, it is still an open issue to classify the high-dimensional HSI with a limited number of training samples. In this paper, we propose a semi-supervised HSI classification method inspired by the generative adversarial networks (GANs. Unlike the supervised methods, the proposed HSI classification method is semi-supervised, which can make full use of the limited labeled samples as well as the sufficient unlabeled samples. Core ideas of the proposed method are twofold. First, the three-dimensional bilateral filter (3DBF is adopted to extract the spectral-spatial features by naturally treating the HSI as a volumetric dataset. The spatial information is integrated into the extracted features by 3DBF, which is propitious to the subsequent classification step. Second, GANs are trained on the spectral-spatial features for semi-supervised learning. A GAN contains two neural networks (i.e., generator and discriminator trained in opposition to one another. The semi-supervised learning is achieved by adding samples from the generator to the features and increasing the dimension of the classifier output. Experimental results obtained on three benchmark HSI datasets have confirmed the effectiveness of the proposed method , especially with a limited number of labeled samples.

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

    Science.gov (United States)

    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.

  4. A hierarchical causal modeling for large industrial plants supervision

    International Nuclear Information System (INIS)

    Dziopa, P.; Leyval, L.

    1994-01-01

    A supervision system has to analyse the process current state and the way it will evolve after a modification of the inputs or disturbance. It is proposed to base this analysis on a hierarchy of models, witch differ by the number of involved variables and the abstraction level used to describe their temporal evolution. In a first step, special attention is paid to causal models building, from the most abstract one. Once the hierarchy of models has been build, the most detailed model parameters are estimated. Several models of different abstraction levels can be used for on line prediction. These methods have been applied to a nuclear reprocessing plant. The abstraction level could be chosen on line by the operator. Moreover when an abnormal process behaviour is detected a more detailed model is automatically triggered in order to focus the operator attention on the suspected subsystem. (authors). 11 refs., 11 figs

  5. Strength Training and Your Child

    Science.gov (United States)

    ... training certification and experience with kids and strength training. When teaching a new exercise, the trainer should have kids perform the exercise under his or her supervision in a hazard-free, well-lit, and ... and after strength training. Kids should begin with one set of 8– ...

  6. Automatic Fiscal Stabilizers

    Directory of Open Access Journals (Sweden)

    Narcis Eduard Mitu

    2013-11-01

    Full Text Available Policies or institutions (built into an economic system that automatically tend to dampen economic cycle fluctuations in income, employment, etc., without direct government intervention. For example, in boom times, progressive income tax automatically reduces money supply as incomes and spendings rise. Similarly, in recessionary times, payment of unemployment benefits injects more money in the system and stimulates demand. Also called automatic stabilizers or built-in stabilizers.

  7. Automatic alignment of audiobooks in Afrikaans

    CSIR Research Space (South Africa)

    Van Heerden, CJ

    2012-11-01

    Full Text Available to perform Maximum A Posteriori adaptation on the baseline models. The corresponding value for models trained on the audiobook data is 0.996. An automatic measure of alignment accuracy is also introduced and compared to accuracies measured relative to a gold...

  8. Automatic Amharic text news classification: Aneural networks ...

    African Journals Online (AJOL)

    The study is on classification of Amharic news automatically using neural networks approach. Learning Vector Quantization (LVQ) algorithm is employed to classify new instance of Amharic news based on classifier developed using training dataset. Two weighting schemes, Term Frequency (TF) and Term Frequency by ...

  9. Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer

    Science.gov (United States)

    Chappelow, Jonathan; Viswanath, Satish; Monaco, James; Rosen, Mark; Tomaszewski, John; Feldman, Michael; Madabhushi, Anant

    2008-03-01

    Computer-aided diagnosis (CAD) systems for the detection of cancer in medical images require precise labeling of training data. For magnetic resonance (MR) imaging (MRI) of the prostate, training labels define the spatial extent of prostate cancer (CaP); the most common source for these labels is expert segmentations. When ancillary data such as whole mount histology (WMH) sections, which provide the gold standard for cancer ground truth, are available, the manual labeling of CaP can be improved by referencing WMH. However, manual segmentation is error prone, time consuming and not reproducible. Therefore, we present the use of multimodal image registration to automatically and accurately transcribe CaP from histology onto MRI following alignment of the two modalities, in order to improve the quality of training data and hence classifier performance. We quantitatively demonstrate the superiority of this registration-based methodology by comparing its results to the manual CaP annotation of expert radiologists. Five supervised CAD classifiers were trained using the labels for CaP extent on MRI obtained by the expert and 4 different registration techniques. Two of the registration methods were affi;ne schemes; one based on maximization of mutual information (MI) and the other method that we previously developed, Combined Feature Ensemble Mutual Information (COFEMI), which incorporates high-order statistical features for robust multimodal registration. Two non-rigid schemes were obtained by succeeding the two affine registration methods with an elastic deformation step using thin-plate splines (TPS). In the absence of definitive ground truth for CaP extent on MRI, classifier accuracy was evaluated against 7 ground truth surrogates obtained by different combinations of the expert and registration segmentations. For 26 multimodal MRI-WMH image pairs, all four registration methods produced a higher area under the receiver operating characteristic curve compared to that

  10. Issues of spirituality and religion in psychotherapy supervision.

    Science.gov (United States)

    Bienenfeld, David; Yager, Joel

    2007-01-01

    We note gaps between the basic science of psychotherapy and the spiritual dimensions of religious life; between the beliefs and practices of patients and those of therapists; and between evidence for the influence of spirituality on health and the lack of its integration into psychotherapeutic training. We attempt to provide a framework to bridge this gap in supervision. We reviewed the literature on the roles of spirituality and religion in mental health and illness; on the place of religion in psychotherapy; and on the pedagogy of spirituality. Issues requiring attention include definitions of terms; awareness of personal beliefs; consideration of the boundaries between religiosity and pathology; and distinction between religious structures and personal beliefs. A format for addressing these issues in supervision includes: assisting the trainee with self-awareness; providing tools for spiritual assessment of the patient; providing developmental schema for spirituality; and maintaining awareness of the intersubjectivity of the patient-therapist field and the trainee-supervisor field. Existing literature provides usable frameworks for integrating religion and spirituality into psychotherapy supervision. We offer suggestions on how this may be accomplished.

  11. Stochastic microstructure characterization and reconstruction via supervised learning

    International Nuclear Information System (INIS)

    Bostanabad, Ramin; Bui, Anh Tuan; Xie, Wei; Apley, Daniel W.; Chen, Wei

    2016-01-01

    Microstructure characterization and reconstruction have become indispensable parts of computational materials science. The main contribution of this paper is to introduce a general methodology for practical and efficient characterization and reconstruction of stochastic microstructures based on supervised learning. The methodology is general in that it can be applied to a broad range of microstructures (clustered, porous, and anisotropic). By treating the digitized microstructure image as a set of training data, we generically learn the stochastic nature of the microstructure via fitting a supervised learning model to it (we focus on classification trees). The fitted supervised learning model provides an implicit characterization of the joint distribution of the collection of pixel phases in the image. Based on this characterization, we propose two different approaches to efficiently reconstruct any number of statistically equivalent microstructure samples. We test the approach on five examples and show that the spatial dependencies within the microstructures are well preserved, as evaluated via correlation and lineal-path functions. The main advantages of our approach stem from having a compact empirically-learned model that characterizes the stochastic nature of the microstructure, which not only makes reconstruction more computationally efficient than existing methods, but also provides insight into morphological complexity.

  12. Strategy development and learning differences in supervised and unsupervised categorization.

    Science.gov (United States)

    Colreavy, Erin; Lewandowsky, Stephan

    2008-06-01

    The processes that determine unsupervised categorization, the task of classifying stimuli without guidance or feedback, are poorly understood. Two experiments examined the emergence and plasticity of unsupervised strategies using perceptual stimuli that varied along two separable dimensions. In the first experiment, participants either classified stimuli into any two categories of their choice or learned identical classifications by supervised categorization. Irrespective of the complexity of classification, supervised and unsupervised learning rates differed little when both modes of learning were maximally comparable. The second experiment examined the plasticity of unsupervised classifications by introducing novel stimuli halfway through training. Whether or not people altered their strategies, they responded to novel stimuli in a gradual manner. The gradual and continuous evolution and adaptation of strategies suggests that unsupervised categorization involves true learning which shares many properties of supervised category learning. We also show that the choice of unsupervised strategy cannot be predicted from the properties of early learning trials, but is best understood as a function of the initial distribution of dimensional attention.

  13. Automatic differentiation bibliography

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (comp.)

    1992-07-01

    This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with applications in optimization, nonlinear equations, nonlinear least squares approximation, stiff ordinary differential equation, partial differential equations, continuation methods, and sensitivity analysis. This report is an updated version of the bibliography which originally appeared in Automatic Differentiation of Algorithms: Theory, Implementation, and Application.

  14. Supervising Scientist, Annual Report 2000-2001

    International Nuclear Information System (INIS)

    2001-01-01

    The year under review has seen the resolution of the major issue that has dominated the work of the Supervising Scientist Division over the past three years the review of scientific uncertainties associated with the environmental assessment of the proposal to mine uranium at Jabiluka. The Supervising Scientist prepared a comprehensive report on the risks associated with mining at Jabiluka, which has been under various stages of peer review by an Independent Science Panel (ISP) appointed by the WHC since May 1999. This process culminated in a visit to Australia by the ISP in July 2000 for detailed discussion and assessment and the submission of the final report of the ISP to the World Heritage Committee in September 2000. The report of the ISP was considered at the meeting of the World Heritage Committee in Cairns in December 2000. The Committee reached the conclusion that 'the currently approved proposal for the mine and mill at Jabiluka does not threaten the health of people or the biological and ecological systems of Kakadu National Park that the Mission believed to be at risk'. As a result, the WHC decided not to register Kakadu National Park on the World Heritage List in Danger. But the people of Kakadu themselves remain to be convinced. A major challenge is to gain the confidence of Aboriginal people in the integrity and independence of our scientific assessments and to reduce the concerns that they have for the future of their people and their country. Monitoring of the Jabiluka project was extensive throughout the reporting period. Chemical and biological monitoring programmes of Energy Resources of Australia (ERA) and the Environmental Research Institute of the Supervising Scientist (ERISS) demonstrated that no adverse impact occurred in downstream aquatic ecosystems. Similarly, radiological measurements close to the nearest population centre demonstrated that radiation exposure of the public due to current operations at Jabiluka is not detectable

  15. Experimental assessment of an automatic breast density classification algorithm based on principal component analysis applied to histogram data

    Science.gov (United States)

    Angulo, Antonio; Ferrer, Jose; Pinto, Joseph; Lavarello, Roberto; Guerrero, Jorge; Castaneda, Benjamín.

    2015-01-01

    Breast parenchymal density is considered a strong indicator of cancer risk. However, measures of breast density are often qualitative and require the subjective judgment of radiologists. This work proposes a supervised algorithm to automatically assign a BI-RADS breast density score to a digital mammogram. The algorithm applies principal component analysis to the histograms of a training dataset of digital mammograms to create four different spaces, one for each BI-RADS category. Scoring is achieved by projecting the histogram of the image to be classified onto the four spaces and assigning it to the closest class. In order to validate the algorithm, a training set of 86 images and a separate testing database of 964 images were built. All mammograms were acquired in the craniocaudal view from female patients without any visible pathology. Eight experienced radiologists categorized the mammograms according to a BIRADS score and the mode of their evaluations was considered as ground truth. Results show better agreement between the algorithm and ground truth for the training set (kappa=0.74) than for the test set (kappa=0.44) which suggests the method may be used for BI-RADS classification but a better training is required.

  16. Automatic segmentation of the colon

    Science.gov (United States)

    Wyatt, Christopher L.; Ge, Yaorong; Vining, David J.

    1999-05-01

    Virtual colonoscopy is a minimally invasive technique that enables detection of colorectal polyps and cancer. Normally, a patient's bowel is prepared with colonic lavage and gas insufflation prior to computed tomography (CT) scanning. An important step for 3D analysis of the image volume is segmentation of the colon. The high-contrast gas/tissue interface that exists in the colon lumen makes segmentation of the majority of the colon relatively easy; however, two factors inhibit automatic segmentation of the entire colon. First, the colon is not the only gas-filled organ in the data volume: lungs, small bowel, and stomach also meet this criteria. User-defined seed points placed in the colon lumen have previously been required to spatially isolate only the colon. Second, portions of the colon lumen may be obstructed by peristalsis, large masses, and/or residual feces. These complicating factors require increased user interaction during the segmentation process to isolate additional colon segments. To automate the segmentation of the colon, we have developed a method to locate seed points and segment the gas-filled lumen with no user supervision. We have also developed an automated approach to improve lumen segmentation by digitally removing residual contrast-enhanced fluid resulting from a new bowel preparation that liquefies and opacifies any residual feces.

  17. Automatic classification of MR scans in Alzheimer's disease

    OpenAIRE

    García, Fernando Pérez; uk, fernando perezgarcia ucl ac

    2018-01-01

    Presentation of the paper "Automatic classification of MR scans in Alzheimer's disease" by Klöppel et al. for the journal club of the Centre for Doctoral Training in Medical Image Computing at University College London.

  18. A review of supervised machine learning applied to ageing research.

    Science.gov (United States)

    Fabris, Fabio; Magalhães, João Pedro de; Freitas, Alex A

    2017-04-01

    Broadly speaking, supervised machine learning is the computational task of learning correlations between variables in annotated data (the training set), and using this information to create a predictive model capable of inferring annotations for new data, whose annotations are not known. Ageing is a complex process that affects nearly all animal species. This process can be studied at several levels of abstraction, in different organisms and with different objectives in mind. Not surprisingly, the diversity of the supervised machine learning algorithms applied to answer biological questions reflects the complexities of the underlying ageing processes being studied. Many works using supervised machine learning to study the ageing process have been recently published, so it is timely to review these works, to discuss their main findings and weaknesses. In summary, the main findings of the reviewed papers are: the link between specific types of DNA repair and ageing; ageing-related proteins tend to be highly connected and seem to play a central role in molecular pathways; ageing/longevity is linked with autophagy and apoptosis, nutrient receptor genes, and copper and iron ion transport. Additionally, several biomarkers of ageing were found by machine learning. Despite some interesting machine learning results, we also identified a weakness of current works on this topic: only one of the reviewed papers has corroborated the computational results of machine learning algorithms through wet-lab experiments. In conclusion, supervised machine learning has contributed to advance our knowledge and has provided novel insights on ageing, yet future work should have a greater emphasis in validating the predictions.

  19. Moments of real relationship in psychoanalytic supervision.

    Science.gov (United States)

    Watkins, C Edward

    2012-09-01

    What role does the real relationship play in psychoanalytic supervision? While the real relationship's role has long been and continues to be considered with regard to psychoanalysis, it has received virtually no attention in the supervision literature. In this paper, using Horney's construct of the real self as conceptual anchor, I attempt to: (1) situate the real relationship squarely within the borders of the psychoanalytic supervision relationship; (2) examine the relevance of real relationship phenomena for the supervision experience; (3) provide some simple, ordinary yet meaningful examples of case dialogue that illustrate moments of real relationship in supervision; and (4) introduce the concept of real relationship rupture and consider its potential ramifications for and impact upon the supervisor-supervisee relationship. Just as ruptures can occur in the supervisory alliance, I propose that ruptures can also transpire in the supervisory real relationship, have the potential to reverberate throughout the entirety of the supervision experience, and depending upon how they are handled, can prove either constructive and relationally energizing and enlivening or enervating and eviscerating to supervision process and outcome.

  20. Tele-Supervised Adaptive Ocean Sensor Fleet

    Science.gov (United States)

    Lefes, Alberto; Podnar, Gregg W.; Dolan, John M.; Hosler, Jeffrey C.; Ames, Troy J.

    2009-01-01

    The Tele-supervised Adaptive Ocean Sensor Fleet (TAOSF) is a multi-robot science exploration architecture and system that uses a group of robotic boats (the Ocean-Atmosphere Sensor Integration System, or OASIS) to enable in-situ study of ocean surface and subsurface characteristics and the dynamics of such ocean phenomena as coastal pollutants, oil spills, hurricanes, or harmful algal blooms (HABs). The OASIS boats are extended- deployment, autonomous ocean surface vehicles. The TAOSF architecture provides an integrated approach to multi-vehicle coordination and sliding human-vehicle autonomy. One feature of TAOSF is the adaptive re-planning of the activities of the OASIS vessels based on sensor input ( smart sensing) and sensorial coordination among multiple assets. The architecture also incorporates Web-based communications that permit control of the assets over long distances and the sharing of data with remote experts. Autonomous hazard and assistance detection allows the automatic identification of hazards that require human intervention to ensure the safety and integrity of the robotic vehicles, or of science data that require human interpretation and response. Also, the architecture is designed for science analysis of acquired data in order to perform an initial onboard assessment of the presence of specific science signatures of immediate interest. TAOSF integrates and extends five subsystems developed by the participating institutions: Emergent Space Tech - nol ogies, Wallops Flight Facility, NASA s Goddard Space Flight Center (GSFC), Carnegie Mellon University, and Jet Propulsion Laboratory (JPL). The OASIS Autonomous Surface Vehicle (ASV) system, which includes the vessels as well as the land-based control and communications infrastructure developed for them, controls the hardware of each platform (sensors, actuators, etc.), and also provides a low-level waypoint navigation capability. The Multi-Platform Simulation Environment from GSFC is a surrogate

  1. 19 CFR 19.38 - Supervision of exportation.

    Science.gov (United States)

    2010-04-01

    ... Supervision of exportation. (a) Sales ticket withdrawals. Conditionally duty-free merchandise withdrawn under the sales ticket procedure for exportation shall be exported only under Customs supervision as...

  2. Automatic control systems engineering

    International Nuclear Information System (INIS)

    Shin, Yun Gi

    2004-01-01

    This book gives descriptions of automatic control for electrical electronics, which indicates history of automatic control, Laplace transform, block diagram and signal flow diagram, electrometer, linearization of system, space of situation, state space analysis of electric system, sensor, hydro controlling system, stability, time response of linear dynamic system, conception of root locus, procedure to draw root locus, frequency response, and design of control system.

  3. Neural Bases of Automaticity

    Science.gov (United States)

    Servant, Mathieu; Cassey, Peter; Woodman, Geoffrey F.; Logan, Gordon D.

    2018-01-01

    Automaticity allows us to perform tasks in a fast, efficient, and effortless manner after sufficient practice. Theories of automaticity propose that across practice processing transitions from being controlled by working memory to being controlled by long-term memory retrieval. Recent event-related potential (ERP) studies have sought to test this…

  4. Focusing Automatic Code Inspections

    NARCIS (Netherlands)

    Boogerd, C.J.

    2010-01-01

    Automatic Code Inspection tools help developers in early detection of defects in software. A well-known drawback of many automatic inspection approaches is that they yield too many warnings and require a clearer focus. In this thesis, we provide such focus by proposing two methods to prioritize

  5. Automatic differentiation of functions

    International Nuclear Information System (INIS)

    Douglas, S.R.

    1990-06-01

    Automatic differentiation is a method of computing derivatives of functions to any order in any number of variables. The functions must be expressible as combinations of elementary functions. When evaluated at specific numerical points, the derivatives have no truncation error and are automatically found. The method is illustrated by simple examples. Source code in FORTRAN is provided

  6. AUTOMATIC INTRAVENOUS DRIP CONTROLLER*

    African Journals Online (AJOL)

    Both the nursing staff shortage and the need for precise control in the administration of dangerous drugs intra- venously have led to the development of various devices to achieve an automatic system. The continuous automatic control of the drip rate eliminates errors due to any physical effect such as movement of the ...

  7. Automatic Camera Control

    DEFF Research Database (Denmark)

    Burelli, Paolo; Preuss, Mike

    2014-01-01

    Automatically generating computer animations is a challenging and complex problem with applications in games and film production. In this paper, we investigate howto translate a shot list for a virtual scene into a series of virtual camera configurations — i.e automatically controlling the virtual...

  8. [Possibilities of supervision in medical practice].

    Science.gov (United States)

    Lönnqvist, Jouko

    2014-01-01

    In supervision, a doctor examines in interaction with the supervisor her/his work, work role and collaborative relationships with the aim to develop herself/himself and the associated work community. In clinical supervision, a doctor's way of acting in interactive relationships with the patients is examined through patient cases, based on the doctor's own experience. Supervision can be used to strengthen the physician identity, clarify the work role, assimilate and delve into clinical work, support professional development and working career, manage one's own work and coping at work, develop collaboration and team work, and support the work of medical directors.

  9. Comparing supervised and unsupervised category learning.

    Science.gov (United States)

    Love, Bradley C

    2002-12-01

    Two unsupervised learning modes (incidental and intentional unsupervised learning) and their relation to supervised classification learning are examined. The approach allows for direct comparisons of unsupervised learning data with the Shepard, Hovland, and Jenkins (1961) seminal studies in supervised classification learning. Unlike supervised classification learning, unsupervised learning (especially under incidental conditions) favors linear category structures over compact nonlinear category structures. Unsupervised learning is shown to be multifaceted in that performance varies with task conditions. In comparison with incidental unsupervised learning, intentional unsupervised learning is more rule like, but is no more accurate. The acquisition and application of knowledge is also more laborious under intentional unsupervised learning.

  10. SAR Target Recognition via Supervised Discriminative Dictionary Learning and Sparse Representation of the SAR-HOG Feature

    Directory of Open Access Journals (Sweden)

    Shengli Song

    2016-08-01

    Full Text Available Automatic target recognition (ATR in synthetic aperture radar (SAR images plays an important role in both national defense and civil applications. Although many methods have been proposed, SAR ATR is still very challenging due to the complex application environment. Feature extraction and classification are key points in SAR ATR. In this paper, we first design a novel feature, which is a histogram of oriented gradients (HOG-like feature for SAR ATR (called SAR-HOG. Then, we propose a supervised discriminative dictionary learning (SDDL method to learn a discriminative dictionary for SAR ATR and propose a strategy to simplify the optimization problem. Finally, we propose a SAR ATR classifier based on SDDL and sparse representation (called SDDLSR, in which both the reconstruction error and the classification error are considered. Extensive experiments are performed on the MSTAR database under standard operating conditions and extended operating conditions. The experimental results show that SAR-HOG can reliably capture the structures of targets in SAR images, and SDDL can further capture subtle differences among the different classes. By virtue of the SAR-HOG feature and SDDLSR, the proposed method achieves the state-of-the-art performance on MSTAR database. Especially for the extended operating conditions (EOC scenario “Training 17 ∘ —Testing 45 ∘ ”, the proposed method improves remarkably with respect to the previous works.

  11. Variations on a Theme by Kolb: A New Perspective for Understanding Counseling and Supervision.

    Science.gov (United States)

    Abbey, David S.; And Others

    1985-01-01

    An analysis of clinical dialogue between client and counselor and between counselor-in-training and supervisor is used to demonstrate that effective counseling and supervision demands that Kolb's four modes of experience (concrete experience, reflective observation, abstract conceptualization, and active experimentation) must be available to the…

  12. Supervised Experience Programs in Career Education: A Must in Agribusiness Education

    Science.gov (United States)

    Binkley, Harold

    1973-01-01

    Experience programs are the training and development arm of the program in agribusiness education. The profession must be united in its belief and conviction that supervised experience programs of high quality are necessary if agribusiness education is to meet its future challenges and responsibilities. (KP)

  13. Semi-Supervised Methods for Handwritten Character Recognition using Active Learning

    NARCIS (Netherlands)

    Lefakis, L.; Wiering, M.A.

    2007-01-01

    There are a number of supervised machine learning methods such as classiffers pretrained using restricted Boltzmann machines and convolutional networks that work very well for handwritten character recognition. However, they require a large amount of labeled training data to achieve good

  14. Elder Rehab: A Student-Supervised Exercise Program for Alzheimer's Patients.

    Science.gov (United States)

    Arkin, Sharon M.

    1999-01-01

    Describes and evaluates an elder rehab program, which offers credit to students who serve as rehab partners and fitness supervisors to noninstitutionalized persons with dementia. In addition to aerobics and weight training workouts, participants engage in supervised volunteer work and memory- and language-stimulation activities with their student…

  15. Supervision and feedback for junior medical staff in Australian emergency departments: findings from the emergency medicine capacity assessment study

    Directory of Open Access Journals (Sweden)

    Weiland Tracey J

    2010-11-01

    Full Text Available Abstract Background Clinical supervision and feedback are important for the development of competency in junior doctors. This study aimed to determine the adequacy of supervision of junior medical staff in Australian emergency departments (EDs and perceived feedback provided. Methods Semi-structured telephone surveys sought quantitative and qualitative data from ED Directors, Directors of Emergency Medicine Training, registrars and interns in 37 representative Australian hospitals; quantitative data were analysed with SPSS 15.0 and qualitative data subjected to content analysis identifying themes. Results Thirty six of 37 hospitals took part. Of 233 potential interviewees, 95 (40.1% granted interviews including 100% (36/36 of ED Directors, and 96.2% (25/26 of eligible DEMTs, 24% (19/81 of advanced trainee/registrars, and 17% (15/90 of interns. Most participants (61% felt the ED was adequately supervised in general and (64.2% that medical staff were adequately supervised. Consultants and registrars were felt to provide most intern supervision, but this varied depending on shift times, with registrars more likely to provide supervision on night shift and at weekends. Senior ED medical staff (64% and junior staff (79% agreed that interns received adequate clinical supervision. Qualitative analysis revealed that good processes were in place to ensure adequate supervision, but that service demands, particularly related to access block and overcrowding, had detrimental effects on both supervision and feedback. Conclusions Consultants appear to provide the majority of supervision of junior medical staff in Australian EDs. Supervision and feedback are generally felt to be adequate, but are threatened by service demands, particularly related to access block and ED overcrowding.

  16. Overcoming difficult conversations in clinical supervision

    Directory of Open Access Journals (Sweden)

    Williams B

    2016-06-01

    Full Text Available Brett Williams,1 Christine King,1 Tanya Edlington,21Department of Community Emergency Health and Paramedic Practice, Monash University, Franskton, VIC, 2The Conversation Clinic Pty Ltd, Melbourne, VIC, Australia Background: Clinical supervisors are responsible for managing many facets of clinical learning and face a range of challenges when the need for "difficult" conversations arises, including the need to manage conflict and relationships. Methods: Spotlight on Conversations Workshop was developed to improve the capacity of clinical supervisors to engage in difficult conversations. They were designed to challenge the mindset of clinical supervisors about difficult conversations with students, the consequences of avoiding difficult conversations, and to offer activities for practicing difficult conversations. Preworkshop, postworkshop, and 4-month follow-up evaluations assessed improvements in knowledge, intent to improve, and confidence along with workshop satisfaction. Results: Nine workshops were delivered in a range of locations across Victoria, Australia, involving a total of 117 clinical supervisors. Preworkshop evaluations illustrated that more than half of the participants had avoided up to two difficult conversations in the last month in their workplace. Postworkshop evaluation at 4 months showed very high levels of satisfaction with the workshop's relevancy, content, and training, as well as participants' intention to apply knowledge and skills. Also shown were significant changes in participants' confidence to have difficult conversations not only with students but also with other peers and colleagues. In follow-up in-depth interviews with 20 of the 117 participants, 75% said they had made definite changes in their practice because of what they learned in the workshop and another 10% said they would make changes to their practice, but had not had the opportunity yet to do so. Conclusion: We conclude that the Spotlight on

  17. Maximum margin semi-supervised learning with irrelevant data.

    Science.gov (United States)

    Yang, Haiqin; Huang, Kaizhu; King, Irwin; Lyu, Michael R

    2015-10-01

    Semi-supervised learning (SSL) is a typical learning paradigms training a model from both labeled and unlabeled data. The traditional SSL models usually assume unlabeled data are relevant to the labeled data, i.e., following the same distributions of the targeted labeled data. In this paper, we address a different, yet formidable scenario in semi-supervised classification, where the unlabeled data may contain irrelevant data to the labeled data. To tackle this problem, we develop a maximum margin model, named tri-class support vector machine (3C-SVM), to utilize the available training data, while seeking a hyperplane for separating the targeted data well. Our 3C-SVM exhibits several characteristics and advantages. First, it does not need any prior knowledge and explicit assumption on the data relatedness. On the contrary, it can relieve the effect of irrelevant unlabeled data based on the logistic principle and maximum entropy principle. That is, 3C-SVM approaches an ideal classifier. This classifier relies heavily on labeled data and is confident on the relevant data lying far away from the decision hyperplane, while maximally ignoring the irrelevant data, which are hardly distinguished. Second, theoretical analysis is provided to prove that in what condition, the irrelevant data can help to seek the hyperplane. Third, 3C-SVM is a generalized model that unifies several popular maximum margin models, including standard SVMs, Semi-supervised SVMs (S(3)VMs), and SVMs learned from the universum (U-SVMs) as its special cases. More importantly, we deploy a concave-convex produce to solve the proposed 3C-SVM, transforming the original mixed integer programming, to a semi-definite programming relaxation, and finally to a sequence of quadratic programming subproblems, which yields the same worst case time complexity as that of S(3)VMs. Finally, we demonstrate the effectiveness and efficiency of our proposed 3C-SVM through systematical experimental comparisons. Copyright

  18. Social constructionism and supervision: experiences of AAMFT supervisors and supervised therapists.

    Science.gov (United States)

    Hair, Heather J; Fine, Marshall

    2012-10-01

    A phenomenological research process was used to investigate the supervision experience for supervisors and therapists when supervisors use a social constructionist perspective. Participants of the one-to-one interviews were six AAMFT Approved Supervisors and six therapists providing counseling to individuals, couples and families. The findings suggest supervisors were committed to their self-identified supervision philosophy and intentionally sought out congruence between epistemology and practice. The shared experience of therapists indicates they associated desirable supervision experiences with their supervisors' social constructionist perspective. Our findings also indicated that supervisors' and therapists' understanding of social constructionism included the more controversial concepts of agency and extra-discursiveness. This research has taken an empirical step in the direction of understanding what the social constructionist supervision experience is like for supervisors and therapists. Our findings suggest a linkage between epistemology and supervision practice and a satisfaction with the supervision process. © 2012 American Association for Marriage and Family Therapy.

  19. Using a Mixed Model to Explore Evaluation Criteria for Bank Supervision: A Banking Supervision Law Perspective.

    Science.gov (United States)

    Tsai, Sang-Bing; Chen, Kuan-Yu; Zhao, Hongrui; Wei, Yu-Min; Wang, Cheng-Kuang; Zheng, Yuxiang; Chang, Li-Chung; Wang, Jiangtao

    2016-01-01

    Financial supervision means that monetary authorities have the power to supervise and manage financial institutions according to laws. Monetary authorities have this power because of the requirements of improving financial services, protecting the rights of depositors, adapting to industrial development, ensuring financial fair trade, and maintaining stable financial order. To establish evaluation criteria for bank supervision in China, this study integrated fuzzy theory and the decision making trial and evaluation laboratory (DEMATEL) and proposes a fuzzy-DEMATEL model. First, fuzzy theory was applied to examine bank supervision criteria and analyze fuzzy semantics. Second, the fuzzy-DEMATEL model was used to calculate the degree to which financial supervision criteria mutually influenced one another and their causal relationship. Finally, an evaluation criteria model for evaluating bank and financial supervision was established.

  20. Reflective dialogue in clinical supervision: A pilot study involving collaborative review of supervision videos.

    Science.gov (United States)

    Hill, Hamish R M; Crowe, Trevor P; Gonsalvez, Craig J

    2016-01-01

    To pilot an intervention involving reflective dialogue based on video recordings of clinical supervision. Fourteen participants (seven psychotherapists and their supervisors) completed a reflective practice protocol after viewing a video of their most recent supervision session, then shared their reflections in a second session. Thematic analysis of individual reflections and feedback resulted in the following dominant themes: (1) Increased discussion of supervisee anxiety and the tensions between autonomy and dependence; (2) intentions to alter supervisory roles and practice; (3) identification of and reflection on parallel process (defined as the dynamic transmission of relationship patterns between therapy and supervision); and (4) a range of perceived impacts including improvements in supervisory alliance. The results suggest that reflective dialogue based on supervision videos can play a useful role in psychotherapy supervision, including with relatively inexperienced supervisees. Suggestions are provided for the encouragement of ongoing reflective dialogue in routine supervision practice.