WorldWideScience

Sample records for automatic train supervision

  1. Advanced Music Therapy Supervision Training

    DEFF Research Database (Denmark)

    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...

  2. 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...

  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...

  4. Testing Group Supervision in Fieldwork Training for Social Work Students

    Science.gov (United States)

    Zeira, Anat; Schiff, Miriam

    2010-01-01

    This study monitors group supervision for students' field training in a Bachelor's Degree in Social Work (BSW) program and compares it with the experience of the students receiving the traditional individual supervision. The experimental group supervision model is implemented in two consecutive years. Students' experiences are compared at three…

  5. Self-Trained Supervised Segmentation of Subcortical Brain Structures Using Multispectral Magnetic Resonance Images

    Directory of Open Access Journals (Sweden)

    Michele Larobina

    2015-01-01

    Full Text Available The aim of this paper is investigate the feasibility of automatically training supervised methods, such as k-nearest neighbor (kNN and principal component discriminant analysis (PCDA, and to segment the four subcortical brain structures: caudate, thalamus, pallidum, and putamen. The adoption of supervised classification methods so far has been limited by the need to define a representative training dataset, operation that usually requires the intervention of an operator. In this work the selection of the training data was performed on the subject to be segmented in a fully automated manner by registering probabilistic atlases. Evaluation of automatically trained kNN and PCDA classifiers that combine voxel intensities and spatial coordinates was performed on 20 real datasets selected from two publicly available sources of multispectral magnetic resonance studies. The results demonstrate that atlas-guided training is an effective way to automatically define a representative and reliable training dataset, thus giving supervised methods the chance to successfully segment magnetic resonance brain images without the need for user interaction.

  6. Self-Trained Supervised Segmentation of Subcortical Brain Structures Using Multispectral Magnetic Resonance Images

    Science.gov (United States)

    Larobina, Michele; Murino, Loredana; Cervo, Amedeo; Alfano, Bruno

    2015-01-01

    The aim of this paper is investigate the feasibility of automatically training supervised methods, such as k-nearest neighbor (kNN) and principal component discriminant analysis (PCDA), and to segment the four subcortical brain structures: caudate, thalamus, pallidum, and putamen. The adoption of supervised classification methods so far has been limited by the need to define a representative training dataset, operation that usually requires the intervention of an operator. In this work the selection of the training data was performed on the subject to be segmented in a fully automated manner by registering probabilistic atlases. Evaluation of automatically trained kNN and PCDA classifiers that combine voxel intensities and spatial coordinates was performed on 20 real datasets selected from two publicly available sources of multispectral magnetic resonance studies. The results demonstrate that atlas-guided training is an effective way to automatically define a representative and reliable training dataset, thus giving supervised methods the chance to successfully segment magnetic resonance brain images without the need for user interaction. PMID:26583131

  7. The proposal for supervision training in Palestine/Middle East.

    Science.gov (United States)

    Haans, Ton

    2007-01-01

    Clinical supervision has been known for decades. However, only in the past decade have training courses for supervision been developed and offered for health professionals working with a severely traumatized client population. Health professionals working as supervisors in this field are faced with specific problems. Together with Johan Lansen and Ton Haans, the Berlin Treatment Center for Torture Victims (bzfo) adapted the training method developed by Lansen/Haans in 1999, which offers participants a structural framework. In cooperation with the German Society for Supervision (DGSv), the bzfo offers this training course in Germany where it takes one and a half years to complete. To meet the vast need for supervision in countries where health professionals work under difficult and adverse conditions, the bzfo is now in contact with colleagues in the Gaza region with a proposal for supervision tailored to their specific needs.

  8. A Grounded Theory Study of Supervision of Preservice Consultation Training

    Science.gov (United States)

    Newman, Daniel S.

    2012-01-01

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

  9. 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)

  10. Strengthen the Supervision over Pharmaceuticals via Modern Automatic Identification

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Fake pharmaceuticals inflicts severely upon people(?)~-s health through its circulation in markets.To strengthen the supervision of the pharmaceutical market,China is improving and is perfecting its national coding system in the field of pharmaceuticals. Bar-code tag and IC tag are available to the coding system.This paper summarizes the significance of IC tag to the supervision of pharmaceuticals and gives us a strategically general prospect of pharmaceutical supervision.

  11. Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

    Science.gov (United States)

    Ghaffarian, S.; Ghaffarian, S.

    2014-08-01

    This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Further, the training areas for supervised classification are selected by automatically determining a buffer zone on each building whose shadow is detected by using the shadow shape and the sun illumination direction. Thereafter, by calculating the statistic values of each buffer zone which is collected from the building areas the Improved Parallelepiped Supervised Classification is executed to detect the buildings. Standard deviation thresholding applied to the Parallelepiped classification method to improve its accuracy. Finally, simple morphological operations conducted for releasing the noises and increasing the accuracy of the results. The experiments were performed on set of high resolution Google Earth images. The performance of the proposed approach was assessed by comparing the results of the proposed approach with the reference data by using well-known quality measurements (Precision, Recall and F1-score) to evaluate the pixel-based and object-based performances of the proposed approach. Evaluation of the results illustrates that buildings detected from dense and suburban districts with divers characteristics and color combinations using our proposed method have 88.4 % and 853 % overall pixel-based and object-based precision performances, respectively.

  12. Peer Supervision: Toward More Effective Training.

    Science.gov (United States)

    Wagner, Carol A.; Smith, James P., Jr.

    1979-01-01

    Discusses peer supervision as a vehicle for increasing student responsibility for self-assessment and peer assessment, and increasing independence and interdependence among students for professional and personal growth. The article also explains a model of a master's degree program in counseling and includes rationale, definition, implementation,…

  13. 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

    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......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...

  14. Measuring the Effectiveness of a Genetic Counseling Supervision Training Conference.

    Science.gov (United States)

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

    2016-08-01

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

  15. Proposed Guidelines for Operating Counselor Education and Supervision Training Clinics

    Science.gov (United States)

    Lauka, Justin D.; McCarthy, Amanda K.

    2013-01-01

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

  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. Material classification and automatic content enrichment of images using supervised learning and knowledge bases

    Science.gov (United States)

    Mallepudi, Sri Abhishikth; Calix, Ricardo A.; Knapp, Gerald M.

    2011-02-01

    In recent years there has been a rapid increase in the size of video and image databases. Effective searching and retrieving of images from these databases is a significant current research area. In particular, there is a growing interest in query capabilities based on semantic image features such as objects, locations, and materials, known as content-based image retrieval. This study investigated mechanisms for identifying materials present in an image. These capabilities provide additional information impacting conditional probabilities about images (e.g. objects made of steel are more likely to be buildings). These capabilities are useful in Building Information Modeling (BIM) and in automatic enrichment of images. I2T methodologies are a way to enrich an image by generating text descriptions based on image analysis. In this work, a learning model is trained to detect certain materials in images. To train the model, an image dataset was constructed containing single material images of bricks, cloth, grass, sand, stones, and wood. For generalization purposes, an additional set of 50 images containing multiple materials (some not used in training) was constructed. Two different supervised learning classification models were investigated: a single multi-class SVM classifier, and multiple binary SVM classifiers (one per material). Image features included Gabor filter parameters for texture, and color histogram data for RGB components. All classification accuracy scores using the SVM-based method were above 85%. The second model helped in gathering more information from the images since it assigned multiple classes to the images. A framework for the I2T methodology is presented.

  18. 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.

  19. Automatic Training of Rat Cyborgs for Navigation

    Directory of Open Access Journals (Sweden)

    Yipeng Yu

    2016-01-01

    Full Text Available A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat’s behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.

  20. Automatization and training in visual search.

    Science.gov (United States)

    Czerwinski, M; Lightfoot, N; Shiffrin, R M

    1992-01-01

    In several search tasks, the amount of practice on particular combinations of targets and distractors was equated in varied-mapping (VM) and consistent-mapping (CM) conditions. The results indicate the importance of distinguishing between memory and visual search tasks, and implicate a number of factors that play important roles in visual search and its learning. Visual search was studied in Experiment 1. VM and CM performance were almost equal, and slope reductions occurred during practice for both, suggesting the learning of efficient attentive search based on features, and no important role for automatic attention attraction. However, positive transfer effects occurred when previous CM targets were re-paired with previous CM distractors, even though these targets and distractors had not been trained together. Also, the introduction of a demanding simultaneous task produced advantages of CM over VM. These latter two results demonstrated the operation of automatic attention attraction. Visual search was further studied in Experiment 2, using novel characters for which feature overlap and similarity were controlled. The design and many of the findings paralleled Experiment 1. In addition, enormous search improvement was seen over 35 sessions of training, suggesting the operation of perceptual unitization for the novel characters. Experiment 3 showed a large, persistent advantage for CM over VM performance in memory search, even when practice on particular combinations of targets and distractors was equated in the two training conditions. A multifactor theory of automatization and attention is put forth to account for these findings and others in the literature.

  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. 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...

  3. Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

    OpenAIRE

    Ghaffarian, S.

    2014-01-01

    This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Furth...

  4. Is Direct Supervision in Clinical Education for Athletic Training Students Always Necessary to Enhance Student Learning?

    Science.gov (United States)

    Scriber, Kent; Trowbridge, Cindy

    2009-01-01

    Objective: To present an alternative model of supervision within clinical education experiences. Background: Several years ago direct supervision was defined more clearly in the accreditation standards for athletic training education programs (ATEPs). Currently, athletic training students may not gain any clinical experience without their clinical…

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

    Science.gov (United States)

    Pelling, Nadine

    2008-01-01

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

  6. Effective Yard Supervision: From Needs Assessment to Customized Training

    Science.gov (United States)

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

    2014-01-01

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

  7. 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 Højnicke; 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...

  8. 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...

  9. Effects of second language usage on genetic counseling training and supervision.

    Science.gov (United States)

    Vanneste, Rachel; Chiu, Sui Mei; Russell, Laura; Fitzpatrick, Jennifer

    2013-02-01

    We conducted an exploratory study of the experiences of genetic counselors who have either trained or supervised in a second language to assess the relevance of this issue to genetic counseling training and supervision. Two hundred-thirty NSGC members, CAGC members and genetic counseling students completed the online questionnaire. Many of the respondents reported that training and supervision differed when another language was involved. Supervisors reported difficulty in assessing students' counseling skills and discomfort with an incomplete understanding of session content. Students described a greater focus on vocabulary at the expense of psychosocial dimensions. Despite this, most felt that using another language enhanced their training experience. As such, training programs might consider increasing support to these learners and supervisors by explicitly acknowledging the challenges they face, providing students with language tools to aid in their acquisition of basic skills and providing supervisors with new methods for assessing student counseling skills when using other languages.

  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. Sprint conditioning of junior soccer players: effects of training intensity and technique supervision.

    Science.gov (United States)

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

    2015-01-01

    The aims of the present study were to compare the effects of 1) training at 90 and 100% sprint velocity and 2) supervised versus unsupervised sprint training on soccer-specific physical performance in junior soccer players. Young, male soccer players (17 ± 1 yr, 71 ± 10 kg, 180 ± 6 cm) were randomly assigned to four different treatment conditions over a 7-week intervention period. A control group (CON, n = 9) completed regular soccer training according to their teams' original training plans. Three training groups performed a weekly repeated-sprint training session in addition to their regular soccer training sessions performed at A) 100% intensity without supervision (100UNSUP, n = 13), B) 90% of maximal sprint velocity with supervision (90SUP, n = 10) or C) 90% of maximal sprint velocity without supervision (90UNSUP, n=13). Repetitions x distance for the sprint-training sessions were 15 x 20 m for 100UNSUP and 30 x 20 m for 90SUP and 90UNSUP. Single-sprint performance (best time from 15 x 20 m sprints), repeated-sprint performance (mean time over 15 x 20 m sprints), countermovement jump and Yo-Yo Intermittent Recovery Level 1 (Yo-Yo IR1) were assessed during pre-training and post-training tests. No significant differences in performance outcomes were observed across groups. 90SUP improved Yo-Yo IR1 by a moderate margin compared to controls, while all other effect magnitudes were trivial or small. In conclusion, neither weekly sprint training at 90 or 100% velocity, nor supervised sprint training enhanced soccer-specific physical performance in junior soccer players.

  12. Sprint conditioning of junior soccer players: effects of training intensity and technique supervision.

    Directory of Open Access Journals (Sweden)

    Thomas Haugen

    Full Text Available The aims of the present study were to compare the effects of 1 training at 90 and 100% sprint velocity and 2 supervised versus unsupervised sprint training on soccer-specific physical performance in junior soccer players. Young, male soccer players (17 ± 1 yr, 71 ± 10 kg, 180 ± 6 cm were randomly assigned to four different treatment conditions over a 7-week intervention period. A control group (CON, n = 9 completed regular soccer training according to their teams' original training plans. Three training groups performed a weekly repeated-sprint training session in addition to their regular soccer training sessions performed at A 100% intensity without supervision (100UNSUP, n = 13, B 90% of maximal sprint velocity with supervision (90SUP, n = 10 or C 90% of maximal sprint velocity without supervision (90UNSUP, n=13. Repetitions x distance for the sprint-training sessions were 15 x 20 m for 100UNSUP and 30 x 20 m for 90SUP and 90UNSUP. Single-sprint performance (best time from 15 x 20 m sprints, repeated-sprint performance (mean time over 15 x 20 m sprints, countermovement jump and Yo-Yo Intermittent Recovery Level 1 (Yo-Yo IR1 were assessed during pre-training and post-training tests. No significant differences in performance outcomes were observed across groups. 90SUP improved Yo-Yo IR1 by a moderate margin compared to controls, while all other effect magnitudes were trivial or small. In conclusion, neither weekly sprint training at 90 or 100% velocity, nor supervised sprint training enhanced soccer-specific physical performance in junior soccer players.

  13. 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),…

  14. 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.

  15. On-line Supervised Adaptive Training Using Radial Basis Function Networks.

    Science.gov (United States)

    Luo, Wan; Billings, Steve A.; Fung, Chi F.

    1996-12-01

    A new recursive supervised training algorithm is derived for the radial basis neural network architecture. The new algorithm combines the procedures of on-line candidate regressor selection with the conventional Givens QR based recursive parameter estimator to provide efficient adaptive supervised network training. A new concise on-line correlation based performance monitoring scheme is also introduced as an auxiliary device to detect structural changes in temporal data processing applications. Practical and simulated examples are included to demonstrate the effectiveness of the new procedures. Copyright 1996 Elsevier Science Ltd.

  16. 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

    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...... and hardware), (b) the new teaching principles. 3. Thorough information of expectations to the students in terms of using video. 4. Specific student instructions in how to give and receive feedback....

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

    Science.gov (United States)

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

    2009-11-01

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

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

    DEFF Research Database (Denmark)

    Dalager, Tina; Bredahl, Thomas Viskum Gjelstrup; Pedersen, Mogens T;

    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...... 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...

  19. 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.

  20. Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding

    CERN Document Server

    Grüning, André

    2011-01-01

    Few algorithms for supervised training of spiking neural networks exist that can deal with patterns of multiple spikes, and their computational properties are largely unexplored. We demonstrate in a set of simulations that the ReSuMe learning algorithm can be successfully applied to layered neural networks. Input and output patterns are encoded as spike trains of multiple precisely timed spikes, and the network learns to transform the input trains into target output trains. This is done by combining the ReSuMe learning algorithm with multiplicative scaling of the connections of downstream neurons. We show in particular that layered networks with one hidden layer can learn the basic logical operations, including Exclusive-Or, while networks without hidden layer cannot, mirroring an analogous result for layered networks of rate neurons. While supervised learning in spiking neural networks is not yet fit for technical purposes, exploring computational properties of spiking neural networks advances our understand...

  1. 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...

  2. 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…

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

    Science.gov (United States)

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

    2015-01-01

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

  4. Exploring the Use of Poetry in Counselor Training and Supervision: A Qualitative Inquiry

    Science.gov (United States)

    McNichols, Christine D.

    2010-01-01

    This study explores the use poetry in counselor training and supervision. Over the course of a semester, counseling students enrolled in either a practicum or internship class were taken through a series of poetry-based activities. Ten students volunteered to participate in the study. Using a qualitative research design rooted in phenomenology and…

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

    Science.gov (United States)

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

    2011-01-01

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

  6. Role-playing as a tool for hiring, training, and supervising peer providers.

    Science.gov (United States)

    Oh, Hans; Solomon, Phyllis

    2014-04-01

    This article presents role-playing as an activity that can help managers in hiring, evaluating, and supervising peer providers. With the increasing employment of peers in mental health care systems, supervisors have had to face dilemmas related to peer employment more frequently and with little guidance and direction. In response, this article presents role-playing as a practical tool to hire, train, and supervise peer providers. The effectiveness of role-playing depends largely on context and execution, and so this article also offers direction on how to maximize the utility and benefits of role-playing to enhance the performance of peer providers.

  7. 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.

  8. Developing a supervised training algorithm for limited precision feed-forward spiking neural networks

    CERN Document Server

    Stromatias, Evangelos

    2011-01-01

    Spiking neural networks have been referred to as the third generation of artificial neural networks where the information is coded as time of the spikes. There are a number of different spiking neuron models available and they are categorized based on their level of abstraction. In addition, there are two known learning methods, unsupervised and supervised learning. This thesis focuses on supervised learning where a new algorithm is proposed, based on genetic algorithms. The proposed algorithm is able to train both synaptic weights and delays and also allow each neuron to emit multiple spikes thus taking full advantage of the spatial-temporal coding power of the spiking neurons. In addition, limited synaptic precision is applied; only six bits are used to describe and train a synapse, three bits for the weights and three bits for the delays. Two limited precision schemes are investigated. The proposed algorithm is tested on the XOR classification problem where it produces better results for even smaller netwo...

  9. [Nursing fundamentals: critical incidents related to care provided in supervised training].

    Science.gov (United States)

    Valsecchi, Elizabeth Amâncio de Souza da Silva; Nogueira, Maria Suely

    2002-01-01

    The course of Nursing fundamentals introduces the students to supervised training and can result in anxiety and tension. Therefore, the purpose of this study was to identify positive/negative aspects related to the care provided during the supervised training, based on the critical incidents technique. The subjects were students of the 2 degrees, 3 degrees and 4 degrees years of the Nursing Undergraduate Program offered by the State University of Maringá-PR. Authors identified 95 reports: 48(50.5%) positive and 47(49.5) negative. The positive aspects were related to the faculty's presence mediating the teaching-learning process; and the negative ones were related to the professionals insensibility regarding pain and death.

  10. 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.

  11. Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control

    Directory of Open Access Journals (Sweden)

    Y.A. Ahmed

    2015-09-01

    Full Text Available In this paper, consistently trained Artificial Neural Network controller for automatic ship berthing is discussed. Minimum time course changing manoeuvre is utilised to ensure such consistency and a new concept named ‘virtual window’ is introduced. Such consistent teaching data are then used to train two separate multi-layered feed forward neural networks for command rudder and propeller revolution output. After proper training, several known and unknown conditions are tested to judge the effectiveness of the proposed controller using Monte Carlo simulations. After getting acceptable percentages of success, the trained networks are implemented for the free running experiment system to judge the network’s real time response for Esso Osaka 3-m model ship. The network’s behaviour during such experiments is also investigated for possible effect of initial conditions as well as wind disturbances. Moreover, since the final goal point of the proposed controller is set at some distance from the actual pier to ensure safety, therefore a study on automatic tug assistance is also discussed for the final alignment of the ship with actual pier.

  12. 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.

  13. Whole body vibration: unsupervised training or combined with a supervised multi-purpose exercise for fitness?

    Science.gov (United States)

    Emerenziani, Gian Pietro; Meucci, Marco; Gallotta, Maria Chiara; Buzzachera, Cosme Franklim; Guidetti, Laura; Baldari, Carlo

    2014-01-01

    The aim of the study was to compare the effect of an unsupervised whole body vibration (WBV) training and two different supervised multi-purpose exercise programmes, with and without WBV, on body composition, functional fitness and self-reported well-being in middle-aged adults. Fifty-four healthy participants (age 48.6 ± 6.7 years) were randomly assigned to a vibration group (VG), a multi-purpose exercise group (MG) and a multi-purpose exercise with vibration group (VMG) and trained 3 days a week for 4 months. VG performed a standardised unsupervised WBV protocol, MG a supervised multi-purpose exercise and VMG a multi-purpose exercise including vibration. After training, drop out was significantly higher in VG group (P = 0.016) when compared to VMG group. In both MG and VMG, body composition, sit-up, push-up, sit and reach, agility test, hopping test and self-reported general health significantly improved (P fitness and the best results in adherence could be achieved integrating WBV practice into a multi-purpose exercise training.

  14. 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.

  15. Automatic classification of endogenous landslide seismicity using the Random Forest supervised classifier

    Science.gov (United States)

    Provost, F.; Hibert, C.; Malet, J.-P.

    2017-01-01

    The deformation of slow-moving landslides developed in clays induces endogenous seismicity of mostly low-magnitude events (MLAlps) for the detection of four types of seismic sources. The automatic algorithm retrieves 93% of sensitivity in comparison to a manually interpreted catalog considered as reference.

  16. 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.

  17. 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

    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...... 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...... 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...

  18. 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.

  19. 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.

  20. Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach

    Science.gov (United States)

    Romaszewski, Michał; Głomb, Przemysław; Cholewa, Michał

    2016-11-01

    We present a novel semi-supervised algorithm for classification of hyperspectral data from remote sensors. Our method is inspired by the Tracking-Learning-Detection (TLD) framework, originally applied for tracking objects in a video stream. TLD introduced the co-training approach called P-N learning, making use of two independent 'experts' (or learners) that scored samples in different feature spaces. In a similar fashion, we formulated the hyperspectral classification task as a co-training problem, that can be solved with the P-N learning scheme. Our method uses both spatial and spectral features of data, extending a small set of initial labelled samples during the process of region growing. We show that this approach is stable and achieves very good accuracy even for small training sets. We analyse the algorithm's performance on several publicly available hyperspectral data sets.

  1. 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....

  2. 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...... is obtained by excluding observations that have high Mahalanobis distances to the training class mean. Spatial closeness is obtained by requiring connectivity. The marginal effects of changes in the parameters that are input to the seed growing algorithm are evaluated. Initially, the seed is expanded...

  3. Tablets as a digital tool in supervision of student teachers’ practical training

    OpenAIRE

    2016-01-01

    In the project “Tablets in Practicum Supervision”, the tablet has been tested as a tool for observation and supervision in Norwegian teacher education. The study incorporates 14 practicum supervision groups and focuses on how the use of tablets can influence the quality of the supervision and the coherence between teaching, observation and supervision. Throughout the supervision process, the groups have used tablets to produce and share texts, pictures and video recordings. The use of tablets...

  4. Training and supervision of residential staff in Community-based Treatment Facilities

    Directory of Open Access Journals (Sweden)

    Axer, Andrzej

    2013-09-01

    Full Text Available Oregon’s Public Mental Health System employs a large number of unlicensed personnel with limited formal mental health training, both in state hospitals and in residential treatment programs. These mentalhealth paraprofessionals often have the most frequent and direct contact with seriously mentally ill individuals, and therefore have significant impact on their lives. The authors describe organization as well as clinical and administrative supervision of a mostly paraprofessional team working with severely and persistently mentally ill (SPMI criminal offenders. The purpose of this article is to delineate the most important factors allowing for effective and safe utilization of the fairy unsophisticated personnel in the community based-secure treatment facility for individuals under criminal commitment, conditionally released from Oregon State Hospital.

  5. 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…

  6. 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

  7. 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 manua

  8. 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.

  9. Bias Modeling for Distantly Supervised Relation Extraction

    OpenAIRE

    Yang Xiang; Yaoyun Zhang; Xiaolong Wang; Yang Qin; Wenying Han

    2015-01-01

    Distant supervision (DS) automatically annotates free text with relation mentions from existing knowledge bases (KBs), providing a way to alleviate the problem of insufficient training data for relation extraction in natural language processing (NLP). However, the heuristic annotation process does not guarantee the correctness of the generated labels, promoting a hot research issue on how to efficiently make use of the noisy training data. In this paper, we model two types of biases to reduce...

  10. 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.

  11. 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.

  12. 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…

  13. 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.

  14. Monitoring the Performance of the Pedestrian Transfer Function of Train Stations Using Automatic Fare Collection Data

    NARCIS (Netherlands)

    Van den Heuvel, J.P.A.; Hoogenraad, J.H.

    2014-01-01

    Over the last years all train stations in The Netherlands have been equipped with automatic fare collection gates and/or validators. All public transport passengers use a smart card to pay their fare. In this paper we present a monitor for the performance of the pedestrian function of train stations

  15. 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...

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

    Directory of Open Access Journals (Sweden)

    Xavier Bosch–Capblanch

    2014-11-01

    Full Text Available 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

  17. 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

    2015-01-01

    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 v

  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. 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...... 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 outputwith 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...

  20. 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.

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

    Science.gov (United States)

    Youssef, Enas Fawzy; Shanb, Alsayed Abd elhameed

    2016-01-01

    Background Aging is associated with a progressive decline in physical capabilities and a disturbance of both postural control and daily living activities. The aim of this study was to evaluate the effects of supervised versus home exercise programs on muscle strength, balance and functional activities in older participants. Methods Forty older participants were equally assigned to a supervised exercise program (group-I) or a home exercise program (group-II). Each participant performed the exercise program for 35–45 minutes, two times per week for four months. Balance indices and isometric muscle strength were measured with the Biodex Balance System and Hand-Held Dynamometer. Functional activities were evaluated by the Berg Balance Scale (BBS) and the timed get-up-and-go test (TUG). Results The mean values of the Biodex balance indices and the BBS improved significantly after both the supervised and home exercise programs (P balance performance. The supervised program was superior to the home program in restoring functional activities and isometric muscle strength in older participants. PMID:28090182

  2. Pre-trained Convolutional Networks and generative statiscial models: a study in semi-supervised learning

    OpenAIRE

    John Michael Salgado Cebola

    2016-01-01

    Comparative study between the performance of Convolutional Networks using pretrained models and statistical generative models on tasks of image classification in semi-supervised enviroments.Study of multiple ensembles using these techniques and generated data from estimated pdfs.Pretrained Convents, LDA, pLSA, Fisher Vectors, Sparse-coded SPMs, TSVMs being the key models worked upon.

  3. Quick Development Microcomputer System: Training Automatic Components for Electronic Troubleshooting

    Science.gov (United States)

    1991-06-01

    memory demands. The lack of interaction is counter to the buffer models of short-term memory (e.g., Baddeley 1988, Atkinson & Shiffrin 1968). Fourth, the...working memory capacity, and how practice under high workload enhances skilled performance. We have developed a training system for combinatoric...operations become fast (about looms) and can be executed with little attention or working memory load. Third, problems In the initial acquisition were NOT

  4. A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease

    Science.gov (United States)

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

    2017-01-01

    Abstract Background: 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). Methods: 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. Results: 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. PMID:28151878

  5. 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...... are classified using the multi-evidence approach. The study is implemented with WorldView-2 multispectral imagery acquired for a study area containing 10 crop classes. The proposed approach is compared with the multi-evidence approach based on training samples selected randomly and border samples based...

  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. An automatic identification procedure to promote the use of FES-cycling training for hemiparetic patients.

    Science.gov (United States)

    Ambrosini, Emilia; Ferrante, Simona; Schauer, Thomas; Ferrigno, Giancarlo; Molteni, Franco; Pedrocchi, Alessandra

    2014-01-01

    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.

  8. From risky to safer home care: health care assistants striving to overcome a lack of training, supervision, and support

    Directory of Open Access Journals (Sweden)

    Lena Swedberg

    2013-05-01

    Full Text Available Patients receiving home care are becoming increasingly dependent upon competent caregivers’ 24-h availability due to their substantial care needs, often with advanced care and home care technology included. In Sweden, care is often carried out by municipality-employed paraprofessionals such as health care assistants (HC assistants with limited or no health care training, performing advanced care without formal training or support. The aim of this study was to investigate the work experience of the HC assistants and to explore how they manage when delivering 24-h home care to patients with substantial care needs. Grounded theory methodology involving multiple data sources comprising interviews with HC assistants (n=19 and field observations in patients’ homes was used to collect data and constant comparative analysis was used for analysis. The initial analysis revealed a number of barriers, competence gap; trapped in the home setting; poor supervision and unconnected to the patient care system, describing the risks associated with the situations of HC assistants working in home care, thus affecting their working conditions as well as the patient care. The core process identified was the HC assistants’ strivings to combine safe home care with good working conditions by using compensatory processes. The four identified compensatory processes were: day-by-day learning; balancing relations with the patient; self-managing; and navigating the patient care system. By actively employing the compensatory processes, the HC assistants could be said to adopt an inclusive approach, by compensating for their own barriers as well as those of their colleagues’ and taking overall responsibility for their workplace. In conclusion, the importance of supporting HC assistants in relation to their needs for training, supervision,and support from health care professionals must be addressed when organising 24-h home care to patients with substantial care needs

  9. Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.

    Science.gov (United States)

    Conjeti, Sailesh; Katouzian, Amin; Roy, Abhijit Guha; Peter, Loïc; Sheet, Debdoot; Carlier, Stéphane; Laine, Andrew; Navab, Nassir

    2016-08-01

    In this paper, we propose a supervised domain adaptation (DA) framework for adapting decision forests in the presence of distribution shift between training (source) and testing (target) domains, given few labeled examples. We introduce a novel method for DA through an error-correcting hierarchical transfer relaxation scheme with domain alignment, feature normalization, and leaf posterior reweighting to correct for the distribution shift between the domains. For the first time we apply DA to the challenging problem of extending in vitro trained forests (source domain) for in vivo applications (target domain). The proof-of-concept is provided for in vivo characterization of atherosclerotic tissues using intravascular ultrasound signals, where presence of flowing blood is a source of distribution shift between the two domains. This potentially leads to misclassification upon direct deployment of in vitro trained classifier, thus motivating the need for DA as obtaining reliable in vivo training labels is often challenging if not infeasible. Exhaustive validations and parameter sensitivity analysis substantiate the reliability of the proposed DA framework and demonstrates improved tissue characterization performance for scenarios where adaptation is conducted in presence of only a few examples. The proposed method can thus be leveraged to reduce annotation costs and improve computational efficiency over conventional retraining approaches.

  10. Training with o (observing) and T (treatment) teams in live supervision: reflections in the looking glass*.

    Science.gov (United States)

    Roberts, J; Matthews, W J; Bodin, N A; Cohen, D; Lewandowski, L; Novo, J; Pumilia, J; Willis, C

    1989-10-01

    Working with a treatment and observing team at the same time, behind the oneway mirror, offers a variety of ways to: (a) generate multiple realities; (b) work with two different models of family therapy simultaneously; and (c) provide feedback on the teams' own roles, rules and group process. The process that 6 trainees and two supervisors used with T and O teams to examine their own coevolution as a therapeutic system using the Milan model of family therapy and Ericksonian hypnotherapy is described. The article concludes with a discussion of the advantages and pitfalls of this type of dual supervision.

  11. TU-C-17A-04: BEST IN PHYSICS (THERAPY) - A Supervised Framework for Automatic Contour Assessment for Radiotherapy Planning of Head- Neck Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Chen, H; Kavanaugh, J; Tan, J; Dolly, S; Gay, H; Thorstad, W; Anastasio, M; Altman, M; Mutic, S; Li, H [Washington University School of Medicine, Saint Louis, MO (United States)

    2014-06-15

    Purpose: Precise contour delineation of tumor targets and critical structures from CT simulations is essential for accurate radiotherapy (RT) treatment planning. However, manual and automatic delineation processes can be error prone due to limitations in imaging techniques and individual anatomic variability. Tedious and laborious manual verification is hence needed. This study develops a general framework for automatically assessing RT contours for head-neck cancer patients using geometric attribute distribution models (GADMs). Methods: Geometric attributes (centroid and volume) were computed from physician-approved RT contours of 29 head-neck patients. Considering anatomical correlation between neighboring structures, the GADM for each attribute was trained to characterize intra- and interpatient structure variations using principal component analysis. Each trained GADM was scalable and deformable, but constrained by the principal attribute variations of the training contours. A new hierarchical model adaptation algorithm was utilized to assess the RT contour correctness for a given patient. Receiver operating characteristic (ROC) curves were employed to evaluate and tune system parameters for the training models. Results: Experiments utilizing training and non-training data sets with simulated contouring errors were conducted to validate the framework performance. Promising assessment results of contour normality/abnormality for the training contour-based data were achieved with excellent accuracy (0.99), precision (0.99), recall (0.83), and F-score (0.97), while corresponding values of 0.84, 0.96, 0.83, and 0.9 were achieved for the non-training data. Furthermore, the areas under the ROC curves were above 0.9, validating the accuracy of this test. Conclusion: The proposed framework can reliably identify contour normality/abnormality based upon intra- and inter-structure constraints derived from clinically-approved contours. It also allows physicians to

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

    Science.gov (United States)

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

    2011-01-01

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

  13. On the Construction of Training Quality Supervising System of the Staff Training Base in Railway Companies%铁路企业职工培训基地培训质量督导体系建设研究

    Institute of Scientific and Technical Information of China (English)

    徐世建

    2015-01-01

    Building reasonable quality supervising system of training in order to improve the quality of talents training has practical significance to strengthen and improve the education and training work of the staff in railway companies.The paper analyzes the current situation of the construction of training quality supervising system of the staff training base in railway companies and takes wide example by construction mode of teaching quality supervision system in universities and vocational colleges .It explores a construction mode to meet the practical demand of training base in railway companies by setting up training quality supervising organization , organizing a supervisor team by classification , constructing a supervision system scientifically and establishing a benignant operation mechanism of training quality supervising system .%以提高人才培养质量为目标,合理构建培训质量督导体系,对加强和改进铁路企业职工教育培训工作具有重要的现实意义。在分析铁路企业职工培训基地培训质量督导体系建设现状和广泛借鉴高校、职业院校教学质量督导体系建设模式的基础上,本文提出通过建立培训质量督导组织机构、分类组建督导员队伍、科学建设督导制度体系、建立良性运行机制等措施,探索一种满足铁路企业职工培训基地实际需求的培训质量督导体系建设模式。

  14. 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.

  15. Bias Modeling for Distantly Supervised Relation Extraction

    Directory of Open Access Journals (Sweden)

    Yang Xiang

    2015-01-01

    Full Text Available Distant supervision (DS automatically annotates free text with relation mentions from existing knowledge bases (KBs, providing a way to alleviate the problem of insufficient training data for relation extraction in natural language processing (NLP. However, the heuristic annotation process does not guarantee the correctness of the generated labels, promoting a hot research issue on how to efficiently make use of the noisy training data. In this paper, we model two types of biases to reduce noise: (1 bias-dist to model the relative distance between points (instances and classes (relation centers; (2 bias-reward to model the possibility of each heuristically generated label being incorrect. Based on the biases, we propose three noise tolerant models: MIML-dist, MIML-dist-classify, and MIML-reward, building on top of a state-of-the-art distantly supervised learning algorithm. Experimental evaluations compared with three landmark methods on the KBP dataset validate the effectiveness of the proposed methods.

  16. 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

    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......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...... 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...

  17. 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.

  18. 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...

  19. Applying Self-Efficacy Theory to Counselor Training and Supervision: A Comparison of Two Approaches

    Science.gov (United States)

    Barnes, Kristin L.

    2004-01-01

    Counseling self-efficacy, an individual's perception of his or her competence to conduct counseling, is an important component of understanding how counselor trainees subjectively construct their counseling and training experiences and subsequently develop into competent counseling professionals. The author describes 2 approaches to using…

  20. 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…

  1. Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery

    DEFF Research Database (Denmark)

    Kibsgaard, Martin; Kraus, Martin

    2016-01-01

    Pointing in the endoscopic view of a surgical robot is a natural and effcient way for instructors to communicate with trainees in robot-assisted minimally invasive surgery. However, pointing in a stereo-endoscopic view can be limited by problems such as video delay, double vision, arm fatigue......-day training units in robot- assisted minimally invasive surgery on anaesthetised pigs....

  2. 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

    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...

  3. 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......, German, Greek, Icelandic, Norwegian, Polish, Slovene and Swedish full form-lemma pairs respectively. We obtained significant improvements of 24 percent for Polish, 2.3 percent for Dutch, 1.5 percent for English, 1.2 percent for German and 1.0 percent for Swedish compared to plain suffix lemmatization...... 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....

  4. Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training

    CERN Document Server

    Michaeli, Tomer; Sapiro, Guillermo

    2012-01-01

    We address the problems of multi-domain and single-domain regression based on distinct and unpaired labeled training sets for each of the domains and a large unlabeled training set from all domains. We formulate these problems as a Bayesian estimation with partial knowledge of statistical relations. We propose a worst-case design strategy and study the resulting estimators. Our analysis explicitly accounts for the cardinality of the labeled sets and includes the special cases in which one of the labeled sets is very large or, in the other extreme, completely missing. We demonstrate our estimators in the context of removing expressions from facial images and in the context of audio-visual word recognition, and provide comparisons to several recently proposed multi-modal learning algorithms.

  5. Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery

    DEFF Research Database (Denmark)

    Kibsgaard, Martin; Kraus, Martin

    2016-01-01

    Pointing in the endoscopic view of a surgical robot is a natural and effcient way for instructors to communicate with trainees in robot-assisted minimally invasive surgery. However, pointing in a stereo-endoscopic view can be limited by problems such as video delay, double vision, arm fatigue......, and reachability of the pointer controls. We address these problems by hardware-based overlaying the stereo-endoscopic view with a one-eyed cursor, which can be comfortably controlled by a wireless, gyroscopic air mouse. The proposed system was positively evaluated by five experienced instructors in four full......-day training units in robot- assisted minimally invasive surgery on anaesthetised pigs....

  6. "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.

  7. 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.

  8. 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.

  9. 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…

  10. Parental supervision and delinquency.

    Science.gov (United States)

    Fischer, D G

    1983-04-01

    A review of the literature suggests that parental supervision over their children is a significant variable in controlling the amount of delinquent behaviour; high supervision is associated with low delinquency. The relationship remains when variables such as mother's affection, parental conflict, parental aggression, mother's self-confidence, father's deviance, father's absence, father's occupation are controlled. And it appears to be effective under extremely adverse conditions such as poverty and authoritarian and repressive methods of child rearing. Training packages providing basic information about processes of child development and emphasizing positive techniques of child management, with parental supervision as an essential ingredient, need to be further developed and evaluated as a means of reducing delinquency.

  11. Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision.

    Science.gov (United States)

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

    2016-01-01

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

  12. 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...... training for examined music therapists. Definitions are presented and methods developed by working groups in european music therapy supervision are presented....

  13. 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

  14. 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.

  15. UNCERTAIN TRAINING DATA EDITION FOR AUTOMATIC OBJECT-BASED CHANGE MAP EXTRACTION

    Directory of Open Access Journals (Sweden)

    S. Hajahmadi

    2013-09-01

    Full Text Available Due to the rapid transformation of the societies, and the consequent growth of the cities, it is necessary to study these changes in order to achieve better control and management of urban areas and assist the decision-makers. Change detection involves the ability to quantify temporal effects using multi-temporal data sets. The available maps of the under study area is one of the most important sources for this reason. Although old data bases and maps are a great resource, it is more than likely that the training data extracted from them might contain errors, which affects the procedure of the classification; and as a result the process of the training sample editing is an essential matter. Due to the urban nature of the area studied and the problems caused in the pixel base methods, object-based classification is applied. To reach this, the image is segmented into 4 scale levels using a multi-resolution segmentation procedure. After obtaining the segments in required levels, training samples are extracted automatically using the existing old map. Due to the old nature of the map, these samples are uncertain containing wrong data. To handle this issue, an editing process is proposed according to K-nearest neighbour and k-means algorithms. Next, the image is classified in a multi-resolution object-based manner and the effects of training sample refinement are evaluated. As a final step this classified image is compared with the existing map and the changed areas are detected.

  16. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2011-01-01

    Aim: Supervision is a vital factor in the professional development of psychotherapists, and was rated by novice therapists as the most important factor in their own current development (Orlinsky & Rønnestad, 2005). Paradoxically, the standard version of the Development of Psychotherapists Common...... Core Questionnaire (DPCCQ) has only few questions on supervision. To rectify this limitation, a recent Danish version of the DPCCQ included two new sections on supervision, one focusing on supervisees and another on supervisors and their supervisory training. This paper presents our initial findings...... 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...

  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

    2014-01-01

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

  18. Co-Training Semi-Supervised Active Learning Algorithm with Noise Filter%具有噪声过滤功能的协同训练半监督主动学习算法

    Institute of Scientific and Technical Information of China (English)

    詹永照; 陈亚必

    2009-01-01

    针对基于半监督学习的分类器利用未标记样本训练会引入噪声而使得分类性能下降的情形,文中提出一种具有噪声过滤功能的协同训练半监督主动学习算法.该算法以3个模糊深隐马尔可夫模型进行协同半监督学习,在适当的时候主动引入一些人机交互来补充类别标记,避免判决类别不相同时的拒判和初始时判决一致即认为正确的误判情形.同时加入噪声过滤机制,用以过滤南机器自动标记的可能是噪声的样本.将该算法应用于人脸表情识别.实验结果表明,该算法能有效提高未标记样本的利用率并降低半监督学习而引入的噪声,提高表情识别的准确率.%The classification performance of the classifier based on semi-supervised learning is weakened when the noise samples are introduced. An algorithm called co-training semi-supervised active learning with noise filter is presented to overcome this disadvantage. In this algorithm, three fuzzy buried Markov models are used to perform semi-supervised learning cooperatively. Some human-computer interactions are actively introduced into labelling the unlabeled sample at certain time in order to avoid the rejective judgment when the classifiers do not agree with each other and the inaccurate judgment when the initial weak classifiers all agree. Meanwhile, the noise filter is used to filter the possible noise samples which are labeled automatically by the computer. The proposed algorithm is applied to facial expression recognition. The experimental results show that the algorithm can effectively improve the utilization of unlabeled samples, reduce the introduction of noise samples and raise the accuracy of expression recognition.

  19. 管制学员带培教学法浅谈%Discussion on Combination of Teaching Methods and ATC Supervision Training

    Institute of Scientific and Technical Information of China (English)

    席明春

    2012-01-01

    带培管制学员是一个需要耗费教员大量心力的工作,缺乏经验和技能的学员是工作中主要的风险源。管制教员一方面需要严密监控学员,及时制止学员的失误;另一方面又要掌握合适的教学方式来指导学员,使其尽快掌握正确的工作技巧,养成良好的习惯。因此,带培方法的研究是每一个管制教员必须研究的课题。%ATC supervision training is a very laborious and tough job. The trainees who are lack of experience and skills may lead to the unpredictable risks on controlling aircraft. Thus, on the one hand, the trainers should supervise trainees recklessly in order to prevent from making serious mis- takes. On the other hand, the trainers should master the right teaching techniques to conduct trainees so that they can seize proper working skills and get into good habits. The research on methods of training controllers is necessary for each controller trainer. The paper focuses on introducing teaching instructions which have been applied in practical work to enlighten and support trainers.

  20. 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

    cows housed in a barn with an automatic milking system. A small box emitting an acoustic signal was attached to the collar of the 10 cows. During the training period, the signal was induced manually from a distance and during the evaluation period, signals were activated automatically from a computer......The aim of the present study was to examine whether cows in a commercially-managed barn with automatic milking can learn to visit the milking unit in response to an acoustic signal during the grazing season. The study included 10 Swedish Red and White dairy cows, randomly selected from a herd of 45...... 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...

  1. Automatic classification of time-variable X-ray sources

    CERN Document Server

    Lo, Kitty K; Murphy, Tara; Gaensler, B M

    2014-01-01

    To maximize the discovery potential of future synoptic surveys, especially in the field of transient science, it will be necessary to use automatic classification to identify some of the astronomical sources. The data mining technique of supervised classification is suitable for this problem. Here, we present a supervised learning method to automatically classify variable X-ray sources in the second \\textit{XMM-Newton} serendipitous source catalog (2XMMi-DR2). Random Forest is our classifier of choice since it is one of the most accurate learning algorithms available. Our training set consists of 873 variable sources and their features are derived from time series, spectra, and other multi-wavelength contextual information. The 10-fold cross validation accuracy of the training data is ${\\sim}$97% on a seven-class data set. We applied the trained classification model to 411 unknown variable 2XMM sources to produce a probabilistically classified catalog. Using the classification margin and the Random Forest der...

  2. 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…

  3. Clinical supervision.

    Science.gov (United States)

    Goorapah, D

    1997-05-01

    The introduction of clinical supervision to a wider sphere of nursing is being considered from a professional and organizational point of view. Positive views are being expressed about adopting this concept, although there are indications to suggest that there are also strong reservations. This paper examines the potential for its success amidst the scepticism that exists. One important question raised is whether clinical supervision will replace or run alongside other support systems.

  4. [Practice report: Structured training to improve quality of care in emergency medical service. On-scene supervision: A new approach to emergency medical service training in Wiesbaden and Rheingau-Taunus-Kreis?].

    Science.gov (United States)

    Häske, David; Kreinest, Michael; Wölfl, Christoph G; Frank, Christian; Brodermann, Götz; Horter, Johannes; Suda, Arnold J; Gliwitzky, Bernhard; Beckers, Stefan K; Stöckle, Ulrich; Münzberg, Matthias

    2013-01-01

    In recent years, the emergency medical services in Wiesbaden and the Rheingau-Taunus district made great efforts to standardise structures. Since there are only few established procedures in the annual examinations for paramedics, there is reason to assume that treatment procedures for patients have not been standardised either. Materials and equipment are not handled uniformly, and employee satisfaction has significantly decreased over the last few years. To solve these problems, all paramedics undergo standardised and structured trainings. These training courses make use of the internationally accepted PHTLS (Pre-Hospital Trauma Life Support) and AMLS (Advanced Life Support Medial) programmes. In addition, practising skills and handling the equipment as well as on-scene supervision is to be established in practical training sessions.

  5. Discussion on movement skill automatization and training%简述动作技能自动化与训练

    Institute of Scientific and Technical Information of China (English)

    李雪

    2011-01-01

    Movement skill automatization make individual complete correlative movements without the participation of special awareness and control,thereby reduce the psychological resource consumption in movement skill operation.Movement skill automatization can help individual to strengthen the feed back function of kinaesthesia with formed movement chart and maintain natural operation level under the disadvantaged condition with nice clue.Overtraining and effective development of actual and timely feed back are the problems should be paid attention during movement skill automatization training.On the psychological training of movement skill automatization,especially the idea essence of presentation training method,effective implementation in practice is the present hotspot in this field.%动作技能自动化使个体在无需特殊意识参与和控制下,协调有序地完成相关动作序列,从而降低动作技能操作中的心理资源消耗。动作技能自动化有助于个体凭借自身已形成的运动程序图式,加强动觉反馈的作用,并能利用细微的线索,在不利条件下维持正常的操作水平。"过度练习"及具体及时反馈的有效开展都是动作技能自动化训练中需要注意的问题。关于动作技能自动化的心理训练,尤其是表象训练法的理念精髓在实践中的有效的贯彻是目前该领域研究的热点。

  6. Nem tudo é estágio: contribuições para o debate Not everything is supervised training: contributions for the debate

    Directory of Open Access Journals (Sweden)

    Marcos Azeredo Furquim Werneck

    2010-01-01

    Full Text Available O artigo versa sobre o estágio supervisionado, tratando-o como uma oportunidade fundamental de consolidação do espaço pedagógico, capaz de enfrentar, positivamente, os desafios lançados pelas Diretrizes Curriculares para os Cursos de Graduação em Odontologia. Não se trata de uma proposta nova, mas de uma luta pela transformação das práticas de ensino que tem origem nos anos setenta, no movimento de integração docente assistencial, até os dias atuais. Aborda o espaço dos serviços públicos de saúde e o mundo do trabalho como aspectos centrais de uma nova prática pedagógica, com potencial para se alcançar um perfil profissional com consciência crítica e capacidade de compreender a realidade e intervir sobre ela. Aponta para os riscos de se compreender e confundir estágio com prática intramuros, reproduzindo, sob o nome de estágio curricular supervisionado, práticas tradicionais, com ênfase em aspectos tecnicistas e biologicistas sem potência para alcançar as mudanças propostas pelas Diretrizes Curriculares. Ao ressaltar a importância do estágio curricular supervisionado na formação profissional, fica estabelecido um diálogo com a ABENO, contestando algumas de suas posições. Neste sentido, o artigo mostra a necessidade de uma discussão que agregue o maior número possível de faculdades de odontologia.This paper discusses supervised training as a fundamental opportunity for the consolidation of the teaching space and also as means of facing the challenges posed by the guidelines for dental courses. It is not a new proposal. It is in fact a fight for changes in dental practicing which began in the 70s with the movement for the integration between dental teaching and dental services. It approaches public health services spaces and the world of work as central for a new teaching strategy. That would generate the opportunity to graduate professionals with a more critical profile, also capable of understanding

  7. 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.

  8. 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.

  9. Effects of self-management training and reinforcement on the transfer of improved conduct in the absence of supervision.

    OpenAIRE

    Ninness, H A; Fuerst, J.; Rutherford, R D; Glenn, S S

    1991-01-01

    The instruction, maintenance, and transfer of training of social skills of 3 seriously emotionally disturbed adolescents were accomplished by a self-management training and reinforcement package. During baseline sessions these students, who were covertly filmed in their classroom, averaged over 90% off-task or socially inappropriate behavior while their teacher was out of the room. They showed similar behaviors when walking between classes, unattended by their teacher. Treatment was introduce...

  10. Effect of supervised, periodized exercise training vs. self-directed training on lean body mass and other fitness variables in health club members.

    Science.gov (United States)

    Storer, Thomas W; Dolezal, Brett A; Berenc, Matthew N; Timmins, John E; Cooper, Christopher B

    2014-07-01

    Conventional wisdom suggests that exercise training with a personal trainer (PTr) is more beneficial for improving health-related fitness than training alone. However, there are no published data that confirm whether fitness club members who exercise with a PTr in the fitness club setting obtain superior results compared with self-directed training. We hypothesized that club members randomized to receive an evidence-based training program would accrue greater improvements in lean body mass (LBM) and other fitness measures than members randomized to self-training. Men, aged 30-44 years, who were members of a single Southern California fitness club were randomized to exercise with a PTr administering a nonlinear periodized training program (TRAINED, N = 17) or to self-directed training (SELF, N = 17); both groups trained 3 days per week for 12 weeks. Lean body mass was determined by dual-energy x-ray absorptiometry. Secondary outcomes included muscle strength 1 repetition maximum (1RM), leg power (vertical jump), and aerobic capacity (V[Combining Dot Above]O2max). TRAINED individuals increased LBM by 1.3 (0.4) kg, mean (SEM) vs. no change in SELF, p = 0.029. Similarly, significantly greater improvements were seen for TRAINED vs. SELF in chest press strength (42 vs. 19%; p = 0.003), peak leg power (6 vs. 0.6%; p members whose training is directed by well-qualified PTrs administering evidence-based training regimens achieve significantly greater improvements in LBM and other dimensions of fitness than members who direct their own training.

  11. The Effects of Training on Automatization of Word Recognition in English as a Foreign Language

    Science.gov (United States)

    Akamatsu, Nobuhiko

    2008-01-01

    The present study investigated the effects of word-recognition training on the word-recognition processing of learners of English as a foreign language (EFL). Providing 7-week word-recognition training, the study examined whether such training improves EFL learners' word-recognition performance. The main aspects of this study concerned word…

  12. Techniques for Automatic Creation of Terrain Databases for Training and Mission Preparation

    NARCIS (Netherlands)

    Kuijper, F.; Son, R. van; Meurs, F. van; Smelik, R.M.; Kraker, J.K. de

    2010-01-01

    In the support of defense agencies and civil authorities TNO runs a research program that strives after automatic generation of terrain databases for a variety of simulation applications. Earlier papers by TNO at the IMAGE conference have reported in-depth on specific projects within this program. R

  13. 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…

  14. 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

  15. 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.

  16. 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).

  17. 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…

  18. Triadic Supervision in CACREP Accredited Counselor Education Programs: Current Practices and Rationale

    Science.gov (United States)

    Lyman, Steve R.

    2010-01-01

    In 2001 the Counsel for the Accreditation of Counseling and Related Educational Programs (CACREP) approved the use of triadic supervision as an adjunct or alternative to individual supervision in the clinical training of counselors-in-training. In so doing they sanctioned triadic supervision as equal to individual supervision without the benefit…

  19. 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.

  20. Automatic Speech Recognition and Training for Severely Dysarthric Users of Assistive Technology: The STARDUST Project

    Science.gov (United States)

    Parker, Mark; Cunningham, Stuart; Enderby, Pam; Hawley, Mark; Green, Phil

    2006-01-01

    The STARDUST project developed robust computer speech recognizers for use by eight people with severe dysarthria and concomitant physical disability to access assistive technologies. Independent computer speech recognizers trained with normal speech are of limited functional use by those with severe dysarthria due to limited and inconsistent…

  1. 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.

  2. Clients' Views of Live Supervision and Satisfaction with Therapy.

    Science.gov (United States)

    Locke, Lisa D.; McCollum, Eric E.

    2001-01-01

    Examines clients' perceptions of live supervision and their satisfaction with therapy in a university-based training clinic for marriage and family therapists. Results indicate that clients were generally satisfied with therapy and found the live-supervision process satisfactory as long as the perceived helpfulness of live supervision outweighed…

  3. Does Live Supervision Make a Difference? A Multilevel Analysis

    Science.gov (United States)

    Silverthorn, Brandon C.; Bartle-Haring, Suzanne; Meyer, Kevin; Toviessi, Paula

    2009-01-01

    While the benefit of live supervision on clinical training is largely unquestioned, research that examines how live supervision affects the therapeutic process is lacking. Although marriage and family therapy has embraced this method of supervision, there is little empirical evidence suggesting it "works." This study uses hierarchical linear…

  4. 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…

  5. 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.

  6. 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.

  7. Novel Discrete Compactness-Based Training for Vector Quantization Networks: Enhancing Automatic Brain Tissue Classification

    Directory of Open Access Journals (Sweden)

    Ricardo Pérez-Aguila

    2013-01-01

    Full Text Available An approach for nonsupervised segmentation of Computed Tomography (CT brain slices which is based on the use of Vector Quantization Networks (VQNs is described. Images are segmented via a VQN in such way that tissue is characterized according to its geometrical and topological neighborhood. The main contribution rises from the proposal of a similarity metric which is based on the application of Discrete Compactness (DC which is a factor that provides information about the shape of an object. One of its main strengths lies in the sense of its low sensitivity to variations, due to noise or capture defects, in the shape of an object. We will present, compare, and discuss some examples of segmentation networks trained under Kohonen’s original algorithm and also under our similarity metric. Some experiments are established in order to measure the effectiveness and robustness, under our application of interest, of the proposed networks and similarity metric.

  8. Target Localization in Wireless Sensor Networks Using Online Semi-Supervised Support Vector Regression

    Directory of Open Access Journals (Sweden)

    Jaehyun Yoo

    2015-05-01

    Full Text Available Machine learning has been successfully used for target localization in wireless sensor networks (WSNs due to its accurate and robust estimation against highly nonlinear and noisy sensor measurement. For efficient and adaptive learning, this paper introduces online semi-supervised support vector regression (OSS-SVR. The first advantage of the proposed algorithm is that, based on semi-supervised learning framework, it can reduce the requirement on the amount of the labeled training data, maintaining accurate estimation. Second, with an extension to online learning, the proposed OSS-SVR automatically tracks changes of the system to be learned, such as varied noise characteristics. We compare the proposed algorithm with semi-supervised manifold learning, an online Gaussian process and online semi-supervised colocalization. The algorithms are evaluated for estimating the unknown location of a mobile robot in a WSN. The experimental results show that the proposed algorithm is more accurate under the smaller amount of labeled training data and is robust to varying noise. Moreover, the suggested algorithm performs fast computation, maintaining the best localization performance in comparison with the other methods.

  9. 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.

  10. Supervised detection of anomalous light-curves in massive astronomical catalogs

    CERN Document Server

    nun, Isadora; 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. To process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new method to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all the 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. Our method is suitable for exploring massive datasets given that the training process is performed offline. We tested our algor...

  11. Clinical supervision by consultants in teaching hospitals.

    Science.gov (United States)

    Hore, Craig T; Lancashire, William; Fassett, Robert G

    2009-08-17

    Clinical supervision is a vital part of postgraduate medical education. Without it, trainees may not learn effectively from their experiences; this may lead to acceptance by registrars and junior doctors of lower standards of care. Currently, supervision is provided by consultants to registrars and junior doctors, and by registrars to junior doctors. Evidence suggests that the clinical supervision provided to postgraduate doctors is inadequate. Registrars and juniors doctors have the right to expect supervision in the workplace. Impediments to the provision of clinical supervision include competing demands of hospital service provision on trainees and supervisors, lack of clarity of job descriptions, private versus public commitments of supervisors and lack of interest. Supervisors should be trained in the process of supervision and provided with the time and resources to conduct it. Those being supervised should be provided with clear expectations of the process. We need to create and develop systems, environments and cultures that support high standards of conduct and effective clinical supervision. These systems must ensure the right to supervision, feedback, support, decent working conditions and respect for both trainees and their supervisors.

  12. 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

  13. The Cryogenic Supervision System in NSRRC

    CERN Document Server

    Li, Hsing-Chieh; Chiou, Wen-Song; Hsiao, Feng-Zone; Tsai, Zong-Da

    2005-01-01

    The helium cryogenic system in NSRRC is a fully automatic PLC system using the Siemens SIMATIC 300 controller. Modularization in both hardware and software makes it easy in the program reading, the system modification and the problem debug. Based on the Laview program we had developed a supervision system taking advantage of the Internet technology to get system's real-time information in any place. The functions of this supervision system include the real-time data accessing with more than 300 digital/analog signals, the data restore, the history trend display, and the human machine interface. The data is accessed via a Profibus line connecting the PLC system and the supervision system with a maximum baud rate 1.5 Mbit/s. Due to this supervision system, it is easy to master the status of the cryogenic system within a short time and diagnose the problem.

  14. SEMI-SUPERVISED RADIO TRANSMITTER CLASSIFICATION BASED ON ELASTIC SPARSITY REGULARIZED SVM

    Institute of Scientific and Technical Information of China (English)

    Hu Guyu; Gong Yong; Chen Yande; Pan Zhisong; Deng Zhantao

    2012-01-01

    Non-collaborative radio transmitter recognition is a significant but challenging issue,sinceit is hard or costly to obtain labeled training data samples.In order to make effective use of the unlabeled samples which can be obtained much easier,a novel semi-supervised classification method named Elastic Sparsity Regularized Support Vector Machine (ESRSVM) is proposed for radio transmitter classification.ESRSVM first constructs an elastic-net graph over data samples to capture the robust and natural discriminating information and then incorporate the information into the manifold learning framework by an elastic sparsity regularization term.Experimental results on 10 GMSK modulated Automatic Identification System radios and 15 FM walkie-talkie radios show that ESRSVM achieves obviously better performance than KNN and SVM,which use only labeled samples for classification,and also outperforms semi-supervised classifier LapSVM based on manifold regularization.

  15. Supervision of Standardized Training of General Physician Based on Electronic Medical Record%基于电子病历的全科医师规范化培训监管

    Institute of Scientific and Technical Information of China (English)

    曹战宇; 马力; 马军

    2016-01-01

    Standardized training of general physician is main way to train the general practitioner in our country, which is largely invisible, the ability of residency is weak on different levels. There have many different characteristics with the standardized training of specialist in the training base and teachers. The electronic medical record system can strengthen the training and supervision to participants in standardized training of general practitioner, can ensure the quantity and quality of managing patients and clinical skills, and ensure the rotation in accordance with the arrangement. Achieving the remote monitoring of community training base through the cloud platforms. By taking a series of safeguard measures, the whole training process was supervised using the electronic medical record, which can improve and ensure the effectiveness of standardized training.%全科医师规范化培训是我国培养高质量全科医师的主要途径,目前普遍存在受重视的程度不高、接受规范化培训住院医水平参差不齐等问题,培训基地和师资也存在着与专科医师规范化培训不同的特点,电子病历系统可加强对参加全科医师规范化培训住院医的培养和监管,对住院医完成管理患者和临床技能操作数量和质量、确保按照轮转安排进行轮转和考核、带教教师进行考核等功能,并通过云平台实现对社区基地培训的远程监控。通过采取一系列的保障措施,用电子病历对规范化培训全程进行监管,有助于提高和保证培训效果。

  16. Supervision as Metaphor

    Science.gov (United States)

    Lee, Alison; Green, Bill

    2009-01-01

    This article takes up the question of the language within which discussion of research degree supervision is couched and framed, and the consequences of such framings for supervision as a field of pedagogical practice. It examines the proliferation and intensity of metaphor, allegory and allusion in the language of candidature and supervision,…

  17. 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…

  18. 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...... at this faculty. This particular study invited Master level students to discuss: • How a typical supervision process proceeds • How they experienced and what they expected of PBL in the supervision process • What makes a good supervision process...

  19. Automatic classification of time-variable X-ray sources

    Energy Technology Data Exchange (ETDEWEB)

    Lo, Kitty K.; Farrell, Sean; Murphy, Tara; Gaensler, B. M. [Sydney Institute for Astronomy, School of Physics, The University of Sydney, Sydney, NSW 2006 (Australia)

    2014-05-01

    To maximize the discovery potential of future synoptic surveys, especially in the field of transient science, it will be necessary to use automatic classification to identify some of the astronomical sources. The data mining technique of supervised classification is suitable for this problem. Here, we present a supervised learning method to automatically classify variable X-ray sources in the Second XMM-Newton Serendipitous Source Catalog (2XMMi-DR2). Random Forest is our classifier of choice since it is one of the most accurate learning algorithms available. Our training set consists of 873 variable sources and their features are derived from time series, spectra, and other multi-wavelength contextual information. The 10 fold cross validation accuracy of the training data is ∼97% on a 7 class data set. We applied the trained classification model to 411 unknown variable 2XMM sources to produce a probabilistically classified catalog. Using the classification margin and the Random Forest derived outlier measure, we identified 12 anomalous sources, of which 2XMM J180658.7–500250 appears to be the most unusual source in the sample. Its X-ray spectra is suggestive of a ultraluminous X-ray source but its variability makes it highly unusual. Machine-learned classification and anomaly detection will facilitate scientific discoveries in the era of all-sky surveys.

  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.

  1. 导师制对本科生培养的作用和意义%The Role and Significance of Supervision System in the Training of Undergraduates

    Institute of Scientific and Technical Information of China (English)

    符水龙

    2001-01-01

    In modern universities, graduates are all directed by theirsupervisors. But it is very rare for undergraduates to be supervised as graduates. Based on the experience obtained from directing juniors in the secondary lab-class, the significance and influence of this kind of education is investigated. It shows that supervision system of undergraduates is the main constituent of mental education and management system; it develops the teaching method effectively as well as enhancing the secondary practice-class. Supervision system of undergraduates shows advanced approach in improving the qualities of the university undergraduates.%在高等院校,硕士生、博士生的培养一般实行导师制,而本科生的培养采用导师制的比较鲜见。在本科生导师制试点的基础上,重点对导师制在本科生培养中的作用和意义进行了论述:导师制是学生思想政治教育和管理体制的重要组成部分;导师制能有效促进当前习惯的教学模式的改革和完善;导师制是开展第二课堂活动的好制度。高等学校在本科生培养中有条件广泛实行导师制,应重视推广这一制度。

  2. 关系抽取中基于本体的远监督样本扩充%Extending Training Set in Distant Supervision by Ontology for Relation Extraction

    Institute of Scientific and Technical Information of China (English)

    欧阳丹彤; 瞿剑峰; 叶育鑫

    2014-01-01

    Distant supervision is a suitable method for relation extraction in big data. It provides a large amount of sample data by aligning relation instances in knowledge base with nature sentences in corpus. In this paper, a new method of distant supervision with expansion of ontology-based sampling is investigated to address the difficulty of extracting relations from sparse training data. First, an ontology which has a deep link with relation extraction is sought through the definition of cover ratio and volume ratio. Second, some relation instances are added by ontology reasoning and examples of queries. Finally, the expansion of training sets is completed by aligning the new relation instances and nature sentences in corpus. The experiment shows that the presented method is capable of extracting some relations whose training sets are weak, a task impossible by the normal distant supervision method.%远监督学习是适合大数据下关系抽取任务的一种学习算法。它通过对齐知识库中的关系实例和文本集中的自然语句,为学习算法提供大规模样本数据。利用本体进行关系实例的自动扩充,用于解决基于远监督学习的关系抽取任务中部分待抽取关系的实例匮乏问题。该方法首先通过定义关系覆盖率和公理容积率,来寻找与关系抽取任务关联性大的本体;然后,借助本体推理中的实例查询增加待抽取关系下的关系实例;最后,通过对齐新增关系实例和文本集中的自然语句,达到扩充样本的效果。实验结果表明:基于本体的远监督学习样本扩充方法能够有效完成样本匮乏的关系抽取任务,进一步提升远监督学习方法在大数据环境下的关系抽取能力。

  3. 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.

  4. Factors affecting frontline workers' satisfaction with supervision.

    Science.gov (United States)

    Noelker, Linda S; Ejaz, Farida K; Menne, Heather L; Bagaka's, Joshua G

    2009-02-01

    Objective. This research was guided by a stress and support model to examine the effects of frontline workers' background characteristics, personal stressors, job-related stressors, and workplace support on satisfaction with supervision. Method. Survey data were collected from 644 workers in 49 long-term-care settings that employed them. Regression analysis were used to determine the effects of worker level and then Hierarchical Linear Modeling (HLM) and organizational factors on the outcome. Results. Although all four variable categories made significant contributions to explaining satisfaction with supervision, the most powerful were personal stressors and job-related stressors. Results from HLM analysis showed frontline workers in nursing homes and those employed in for-profit organizations had lower levels of satisfaction with supervision. Discussion. Findings suggest organizational interventions to address workers' financial and health issues and management practices such as better training programs and peer mentoring could enhance workers' satisfaction with supervision.

  5. Automatic Sarcasm Detection: A Survey

    OpenAIRE

    Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark James

    2016-01-01

    Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, sarcasm detection has witnessed great interest from the sentiment analysis community. This paper is the first known compilation of past work in automatic sarcasm detection. We observe three milestones in the research so far: semi-supervised pat...

  6. The necessity analysis of supervision and administration on waste from Beijing -Kowloon through train%京九直通列车(T98次)废弃物监督管理必要性分析

    Institute of Scientific and Technical Information of China (English)

    曹永斌; 刘振春; 朱家林; 许匡

    2015-01-01

    京九直通车是来往于北京和香港九龙之间的国际列车,全程距离2475公里,约需运行24小时。近年来,京九直通车(T98次)废弃物发生量呈持续增长趋势,主要包括厨余垃圾、生活垃圾等种类。京九直通车(T98次)废弃物的检疫监管工作总体情况良好,但也存在着终末处置不规范、从业人员操作不严格、协作机制不成熟、监管模式不统一等问题。这些问题增加了国际间传染病的传播风险和控制难度,导致动物传染病、寄生虫病和植物危险性病、虫、杂草以及其他有害生物传入,影响我国农、林、牧、渔业生产和人民身体健康,阻碍了我国对外经济贸易的健康发展。因此,出入境检验检疫机构对此应特别予以重视,采取有效措施改善现存废弃物检疫监管问题,建立详实具体、科学有效的入境列车废弃物监督管理模式。%Abtract Beijing -Kowloon through train is operated for about 24 hours between Beijing and Hongkong,with a to-tal distance of 2475km.The waste produced by the incoming passengers in the Beijing -Kowloon through train (T98)has increased continually in recent years,including garbage such as kitchen garbage and household gar-bage.The quarantine,supervision and administration of the waste from Beijing -Kowloon through train are worked very well in general,but there are also some problems such as de -normalized terminal disposal,less -stringent manual operation,immature coordination mechanism and inconsistent supervision patterns.The above problems raise a risk and heighten the control difficulty of infectious diseases from spreading into or out of the country,resul-ting in parasitic diseases of animals,insect pests and weeds dangerous to plants,and other harmful organisms from spreading into or out of the country,having an effect on the production of agriculture,forestry,animal husbandry and fishery as well as human health

  7. Versões de sentido: um instrumento fenomenológico-existencial para a supervisão de psicoterapeutas iniciantes Sense's versions: a phenomenological-existential tool for the supervision of psychotherapists in training

    Directory of Open Access Journals (Sweden)

    Georges Daniel Janja Bloc Boris

    2008-01-01

    Full Text Available O texto discute, num primeiro momento, os dilemas e conflitos do psicoterapeuta iniciante, propondo estratégias de solução para a sua superação. A formação do psicoterapeuta é contínua e sistemática, persistindo ao longo de sua vida profissional. Assim, não é um treinamento pontual e circunstancial, realizado num único momento, mesmo que determinante, como os últimos semestres do curso de psicologia. Em seguida, o texto discute os diversos instrumentos comumente utilizados na formação do psicoterapeuta, especialmente a fundamentação teórica, a própria psicoterapia do psicoterapeuta, bem como a supervisão por parte de um profissional experiente. Neste sentido, destaca a importância da supervisão e, finalmente, aponta os benefícios da adoção das "versões de sentido" (Amatuzzi, 1989, 1995, 2001 como instrumento de consolidação dos primeiros passos do psicoterapeuta iniciante. Por meio de tal método, o psicoterapeuta iniciante registra suas impressões sobre si mesmo, sobre o cliente e/ou sobre a sua relação com ele, expressando a experiência imediata como pessoa a respeito daquela situação. Desta forma, as versões de sentido constituem um instrumento tanto objetivo quanto subjetivo, que facilita o trabalho de supervisão, pois pode revelar diversos sentidos da expressão do psicoterapeuta iniciante.The paper discusses, as a first step, dilemmas and conflicts of psychotherapists in training, proposing solution strategies for their overcoming. Psychotherapist's training is continuous and systematic, persisting along his/her professional lifetime. So, it is not a punctual and circumstantial training, made in an unique moment, even so in a significant one, as the last year of Psychology undergraduate degree. As a second step, the text discusses some tools usually used for the psychotherapist's training, specially the theoretical foundation, his/her own psychotherapy, as well the supervision of an experienced

  8. Teacher education policies in conflict with the official curriculum: supervised training and “PIBID”(Institutional Program Initiation to teaching profession

    Directory of Open Access Journals (Sweden)

    Jose Rubens Lima Jardilino

    2014-06-01

    Full Text Available In the framework of government policies designed to teacher training, this article aims to understand the relationship between the curricular training and Institutional program initiation to teaching profession (PIBID both performed at the School. The reflection is the result of observation and ethnography in the field and interviews with education professionals who work at schools where they develop the curricular training and PIBID. The research findings suggest a tenuous relationship, sometimes conflicting between curricular component and government program considering that both have similarities, have differentiated purposes, divided into objectives, legislation and separate funding. We can see a overlap of these activities that take place within the school.

  9. 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…

  10. 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.

  11. 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…

  12. 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...

  13. 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....

  14. Enhancing Adult Learning in Clinical Supervision

    Science.gov (United States)

    Goldman, Stuart

    2011-01-01

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

  15. 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…

  16. Supervisor training

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2015-01-01

    This article fills a gap in knowledge about supervisor training programmes in the field of music therapy in Europe. Sparse research exists which demonstrates evidence of effective professional supervision upon the outcome of music therapy clinical practice. The article has its focus on the experi......This article fills a gap in knowledge about supervisor training programmes in the field of music therapy in Europe. Sparse research exists which demonstrates evidence of effective professional supervision upon the outcome of music therapy clinical practice. The article has its focus...... 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...... will inspire other music therapists to develop supervisor training programmes for professional music therapists and also to undertake further research into professional supervision....

  17. Semi-supervised classification of emotional pictures based on feature combination

    Science.gov (United States)

    Li, Shuo; Zhang, Yu-Jin

    2011-02-01

    Can the abundant emotions reflected in pictures be classified automatically by computer? Only the visual features extracted from images are considered in the previous researches, which have the constrained capability to reveal various emotions. In addition, the training database utilized by previous methods is the subset of International Affective Picture System (IAPS) that has a relatively small scale, which exerts negative effects on the discrimination of emotion classifiers. To solve the above problems, this paper proposes a novel and practical emotional picture classification approach, using semi-supervised learning scheme with both visual feature and keyword tag information. Besides the IAPS with both emotion labels and keyword tags as part of the training dataset, nearly 2000 pictures with only keyword tags that are downloaded from the website Flickr form an auxiliary training dataset. The visual feature of the latent emotional semantic factors is extracted by probabilistic Latent Semantic Analysis (pLSA) model, while the text feature is described by binary vectors on the tag vocabulary. A first Linear Programming Boost (LPBoost) classifier which is trained on the samples from IAPS combines the above two features, and aims to label the other training samples from the internet. Then the second SVM classifier which is trained on all training images using only visual feature, focuses on the test images. In the experiment, the categorization performance of our approach is better than the latest methods.

  18. 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…

  19. 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....

  20. Supervised Learning in Multilayer Spiking Neural Networks

    CERN Document Server

    Sporea, Ioana

    2012-01-01

    The current article introduces a supervised learning algorithm for multilayer spiking neural networks. The algorithm presented here overcomes some limitations of existing learning algorithms as it can be applied to neurons firing multiple spikes and it can in principle be applied to any linearisable neuron model. The algorithm is applied successfully to various benchmarks, such as the XOR problem and the Iris data set, as well as complex classifications problems. The simulations also show the flexibility of this supervised learning algorithm which permits different encodings of the spike timing patterns, including precise spike trains encoding.

  1. 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...

  2. 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....

  3. Supervision and group dynamics

    DEFF Research Database (Denmark)

    Hansen, Søren; Jensen, Lars Peter

    2004-01-01

    as well as at Aalborg University. The first visible result has been participating supervisors telling us that the course has inspired them to try supervising group dynamics in the future. This paper will explore some aspects of supervising group dynamics as well as, how to develop the Aalborg model...... 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...... that many students are having difficulties with practical issues such as collaboration, communication, and project management. Most supervisors either ignore this demand, because they do not find it important or they find it frustrating, because they do not know, how to supervise group dynamics...

  4. 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....

  5. Two Approaches to Clinical Supervision.

    Science.gov (United States)

    Anderson, Eugene M.

    Criteria are established for a definition of "clinical supervision" and the effectiveness of such supervisory programs in a student teaching context are considered. Two differing genres of clinical supervision are constructed: "supervision by pattern analysis" is contrasted with "supervision by performance objectives." An outline of procedural…

  6. Counselor Supervision: A Consumer's Guide.

    Science.gov (United States)

    Yager, Geoffrey G.; Littrell, John M.

    This guide attempts to solve problems caused when a certain designated "brand" of supervision is forced on the counselor trainee with neither choice nor checklist of important criteria. As a tentative start on a guide to supervision the paper offers the following: a definition of supervision; a summary of the various types of supervision; a…

  7. Multi-Instance Learning from Supervised View

    Institute of Scientific and Technical Information of China (English)

    Zhi-Hua Zhou

    2006-01-01

    In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances,and the task is to predict the labels of unseen bags. This paper studies multi-instance learning from the view of supervised learning. First, by analyzing some representative learning algorithms, this paper shows that multi-instance learners can be derived from supervised learners by shifting their focuses from the discrimination on the instances to the discrimination on the bags. Second, considering that ensemble learning paradigms can effectively enhance supervised learners, this paper proposes to build multi-instance ensembles to solve multi-instance problems. Experiments on a real-world benchmark test show that ensemble learning paradigms can significantly enhance multi-instance learners.

  8. A Novel Co-training Ob ject Tracking Algorithm Based on Online Semi-supervised Boosting%基于在线半监督boosting的协同训练目标跟踪算法

    Institute of Scientific and Technical Information of China (English)

    陈思; 苏松志; 李绍滋; 吕艳萍; 曹冬林

    2014-01-01

    The self-training based discriminative tracking methods use the classification results to update the classifier itself. However, these methods easily suffer from the drifting issue because the classification errors are accumulated during tracking. To overcome the disadvantages of self-training based tracking methods, a novel co-training tracking algorithm, termed Co-SemiBoost, is proposed based on online semi-supervised boosting. The proposed algorithm employs a new online co-training framework, where unlabeled samples are used to collaboratively train the classifiers respectively built on two feature views. Moreover, the pseudo-labels and weights of unlabeled samples are iteratively predicted by combining the decisions of a prior model and an online classifier. The proposed algorithm can effectively improve the discriminative ability of the classifier, and is robust to occlusions, illumination changes, etc. Thus the algorithm can better adapt to object appearance changes. Experimental results on several challenging video sequences show that the proposed algorithm achieves promising tracking performance.%基于自训练的判别式目标跟踪算法使用分类器的预测结果更新分类器自身,容易累积分类错误,从而导致漂移问题。为了克服自训练跟踪算法的不足,该文提出一种基于在线半监督boosting的协同训练目标跟踪算法(简称Co-SemiBoost),其采用一种新的在线协同训练框架,利用未标记样本协同训练两个特征视图中的分类器,同时结合先验模型和在线分类器迭代预测未标记样本的类标记和权重。该算法能够有效提高分类器的判别能力,鲁棒地处理遮挡、光照变化等问题,从而较好地适应目标外观的变化。在若干个视频序列的实验结果表明,该算法具有良好的跟踪性能。

  9. 列控工程数据自动审核的研究与实现%Automatic data auditing for train control engineering

    Institute of Scientific and Technical Information of China (English)

    陈倩佳; 卢佩玲

    2015-01-01

    The correctness of the data, provided by the Train Control Engineering Data sheet, the foundation of the configuration data of CTCS-2 and CTCS-3, affected directly the security of Train Control System. Therefore, the auditing of the data played a great role of importance. In recent years, with the development of China high-speed railway, the auditing work became more arduous and onerous. The existing train control data auditing techniques was discussed in this paper, so as to design and develop a tool of automatic train control data auditing.%列控工程数据表(以下简称列控数据表)所提供的数据作为CTCS-2级和CTCS-3级列控系统配置数据的基础,其正确性直接影响整个列控系统的安全性,因此,列控数据的审核工作非常重要。近年来,随着我国高速铁路事业的迅速发展,列控数据的审核工作也随之变得更加繁重和艰巨。本文在分析现有列控数据审核技术的基础上,开发和设计出一种对列控数据的自动审核工具。

  10. 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

    This paper presents a new approach for refining and selecting training data for satellite imagery-based crop discrimination. The goal of this approach is to automate the pixel-based “multievidence crop classification approach,” proposed by the authors in their previous research. The present study...... 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...... in an ensemble framework to iteratively refine the samples from crop clusters declared by the farmers: spectral, texture, and vegetation indices. Once the refinement of clusters is complete, final training samples are identified. They are used for learning and the satellite imagery is classified using...

  11. [RVM supervised feature extraction and Seyfert spectra classification].

    Science.gov (United States)

    Li, Xiang-Ru; Hu, Zhan-Yi; Zhao, Yong-Heng; Li, Xiao-Ming

    2009-06-01

    With recent technological advances in wide field survey astronomy and implementation of several large-scale astronomical survey proposals (e. g. SDSS, 2dF and LAMOST), celestial spectra are becoming very abundant and rich. Therefore, research on automated classification methods based on celestial spectra has been attracting more and more attention in recent years. Feature extraction is a fundamental problem in automated spectral classification, which not only influences the difficulty and complexity of the problem, but also determines the performance of the designed classifying system. The available methods of feature extraction for spectra classification are usually unsupervised, e. g. principal components analysis (PCA), wavelet transform (WT), artificial neural networks (ANN) and Rough Set theory. These methods extract features not by their capability to classify spectra, but by some kind of power to approximate the original celestial spectra. Therefore, the extracted features by these methods usually are not the best ones for classification. In the present work, the authors pointed out the necessary to investigate supervised feature extraction by analyzing the characteristics of the spectra classification research in available literature and the limitations of unsupervised feature extracting methods. And the authors also studied supervised feature extracting based on relevance vector machine (RVM) and its application in Seyfert spectra classification. RVM is a recently introduced method based on Bayesian methodology, automatic relevance determination (ARD), regularization technique and hierarchical priors structure. By this method, the authors can easily fuse the information in training data, the authors' prior knowledge and belief in the problem, etc. And RVM could effectively extract the features and reduce the data based on classifying capability. Extensive experiments show its superior performance in dimensional reduction and feature extraction for Seyfert

  12. Importance of Gait Training

    Science.gov (United States)

    ... amputation exercises done under the supervision of a physical therapist, the initial training is provided by the prosthetist ... this stage, it is best to involve a physical therapist for regular gait training sessions. Once it is ...

  13. The Supervised Learning Gaussian Mixture Model

    Institute of Scientific and Technical Information of China (English)

    马继涌; 高文

    1998-01-01

    The traditional Gaussian Mixture Model(GMM)for pattern recognition is an unsupervised learning method.The parameters in the model are derived only by the training samples in one class without taking into account the effect of sample distributions of other classes,hence,its recognition accuracy is not ideal sometimes.This paper introduces an approach for estimating the parameters in GMM in a supervising way.The Supervised Learning Gaussian Mixture Model(SLGMM)improves the recognition accuracy of the GMM.An experimental example has shown its effectiveness.The experimental results have shown that the recognition accuracy derived by the approach is higher than those obtained by the Vector Quantization(VQ)approach,the Radial Basis Function (RBF) network model,the Learning Vector Quantization (LVQ) approach and the GMM.In addition,the training time of the approach is less than that of Multilayer Perceptrom(MLP).

  14. Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

    Institute of Scientific and Technical Information of China (English)

    Jie ZHOU; Bi-cheng LI; Gang CHEN

    2015-01-01

    Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

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

    Energy Technology Data Exchange (ETDEWEB)

    Chen, H; Tan, J; Kavanaugh, J; Dolly, S; Gay, H; Thorstad, W; Anastasio, M; Altman, M; Mutic, S; Li, H [Washington University School of Medicine, Saint Louis, MO (United States)

    2014-06-15

    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

  16. Document Classification Using Expectation Maximization with Semi Supervised Learning

    CERN Document Server

    Nigam, Bhawna; Salve, Sonal; Vamney, Swati

    2011-01-01

    As the amount of online document increases, the demand for document classification to aid the analysis and management of document is increasing. Text is cheap, but information, in the form of knowing what classes a document belongs to, is expensive. The main purpose of this paper is to explain the expectation maximization technique of data mining to classify the document and to learn how to improve the accuracy while using semi-supervised approach. Expectation maximization algorithm is applied with both supervised and semi-supervised approach. It is found that semi-supervised approach is more accurate and effective. The main advantage of semi supervised approach is "Dynamically Generation of New Class". The algorithm first trains a classifier using the labeled document and probabilistically classifies the unlabeled documents. The car dataset for the evaluation purpose is collected from UCI repository dataset in which some changes have been done from our side.

  17. Supervised Ensemble Classification of Kepler Variable Stars

    CERN Document Server

    Bass, Gideon

    2016-01-01

    Variable star analysis and classification is an important task in the understanding of stellar features and processes. While historically classifications have been done manually by highly skilled experts, the recent and rapid expansion in the quantity and quality of data has demanded new techniques, most notably automatic classification through supervised machine learning. We present an expansion of existing work on the field by analyzing variable stars in the {\\em Kepler} field using an ensemble approach, combining multiple characterization and classification techniques to produce improved classification rates. Classifications for each of the roughly 150,000 stars observed by {\\em Kepler} are produced separating the stars into one of 14 variable star classes.

  18. Missing Data Imputation for Supervised Learning

    OpenAIRE

    Poulos, Jason; Valle, Rafael

    2016-01-01

    This paper compares methods for imputing missing categorical data for supervised learning tasks. The ability of researchers to accurately fit a model and yield unbiased estimates may be compromised by missing data, which are prevalent in survey-based social science research. We experiment on two machine learning benchmark datasets with missing categorical data, comparing classifiers trained on non-imputed (i.e., one-hot encoded) or imputed data with different degrees of missing-data perturbat...

  19. 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...

  20. 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...

  1. 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...

  2. Collective academic supervision

    DEFF Research Database (Denmark)

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

    2013-01-01

    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...

  3. Perception of nursing students face clinical supervision: literature review

    OpenAIRE

    Certo, Ana; Galvão, Ana Maria; Louçano, Ana

    2015-01-01

    Currently, without theoretical clinical training is not possible for the nursing student adequately meet their clinical practices.In this regard, clinical supervision plays a key role monitoring and development of the same. However,so that the student can be supervised, requires evidence of nurse supervisor competence in this context. In contemporary literature, this issue has been much debated, as the target of numerous different scientific studies. Aim of the study was, under...

  4. Semi-supervised Adapted HMMs for Unusual Event Detection

    OpenAIRE

    Zhang, Dong; Gatica-Perez, Daniel; Bengio, Samy

    2004-01-01

    We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the application of traditional supervised model-based approaches. We propose a semi-supervised adapted Hidden Markov Model (HMM) framework, in which usual event models are first learned from a large amount of (commonly available) training data, while unusual event models are learned by Bayesian adaptation in an unsupervised man...

  5. Semi-supervised Adapted HMMs for Unusual Event Detection

    OpenAIRE

    Zhang, Dong; Gatica-Perez, Daniel; Bengio, Samy; McCowan, Iain A.

    2005-01-01

    We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the application of traditional supervised model-based approaches. We propose a semi-supervised adapted Hidden Markov Model (HMM) framework, in which usual event models are first learned from a large amount of (commonly available) training data, while unusual event models are learned by Bayesian adaptation in an unsupervised man...

  6. 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.

  7. The Effects of P, I and D Parameters in Automatic Liquid Level Control Using UniTrain Module

    Directory of Open Access Journals (Sweden)

    Alfatirta Mufti

    2013-04-01

    Full Text Available The research discusses some experiments to control the level of liquid inside a tank by using PID controllers which can be divided into four categories. The experiments describe the effect of P, I, and D element. It also discusses the best possible controller, which is a PI controller, for the liquid level tank system. The liquid level controlling is done by adjusting the voltage pump which will further regulate the flow rate of the fluid entering the inlet valve. The liquid that flows through the outlet valve is considered as the disturbance variable to the system. The liquid tank sensor needs to be calibrated prior to the experiments. Calibration can be done manually by using a digital multimeter or by using the computer sofware that is connected directly to the plant system. Set point and PID parameters are determined by the UniTrain and the computer interface. In these experiments, PI controller has the best result with a medium proportional gain (KP = 5 and a small integral gain (TN = 0.2.

  8. Automatic detection of lung nodules in computed tomography images: training and validation of algorithms using public research databases

    Science.gov (United States)

    Camarlinghi, Niccolò

    2013-09-01

    Lung cancer is one of the main public health issues in developed countries. Lung cancer typically manifests itself as non-calcified pulmonary nodules that can be detected reading lung Computed Tomography (CT) images. To assist radiologists in reading images, researchers started, a decade ago, the development of Computer Aided Detection (CAD) methods capable of detecting lung nodules. In this work, a CAD composed of two CAD subprocedures is presented: , devoted to the identification of parenchymal nodules, and , devoted to the identification of the nodules attached to the pleura surface. Both CADs are an upgrade of two methods previously presented as Voxel Based Neural Approach CAD . The novelty of this paper consists in the massive training using the public research Lung International Database Consortium (LIDC) database and on the implementation of new features for classification with respect to the original VBNA method. Finally, the proposed CAD is blindly validated on the ANODE09 dataset. The result of the validation is a score of 0.393, which corresponds to the average sensitivity of the CAD computed at seven predefined false positive rates: 1/8, 1/4, 1/2, 1, 2, 4, and 8 FP/CT.

  9. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Nun, Isadora; Pichara, Karim [Computer Science Department, Pontificia Universidad Católica de Chile, Santiago (Chile); Protopapas, Pavlos [Institute for Applied Computational Science, Harvard University, Cambridge, MA (United States); Kim, Dae-Won [Max-Planck Institute for Astronomy, Königstuhl 17, D-69117 Heidelberg (Germany)

    2014-09-20

    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

  11. Estágio supervisionado e práticas de oralidade, leitura e escrita no ensino fundamental Supervised training course and reading, writing and oral communication practices in elementary and middle schools

    Directory of Open Access Journals (Sweden)

    Idméa Semeghini-Siqueira

    2010-06-01

    Full Text Available Este artigo propõe-se a discorrer sobre o contexto de realização de um projeto de comunicação a distância entre alunos do ensino fundamental (EF mediada por estagiários e professores. Trata-se de uma modalidade de estágio supervisionado proposto aos alunos de Pedagogia e de Licenciatura na disciplina "Metodologia do Ensino de Português". O objetivo da proposta é motivar o aluno do EF a se apropriar de seu papel de sujeito na interlocução, descobrindo o prazer de ler e escrever e a importância de estar bem instrumentalizado para se comunicar. O projeto consiste numa proposta geral que tem por finalidade desencadear a construção de um projeto específico pelo estagiário, com a colaboração do professor do EF. Envolve, para tanto, um trabalho intenso com a linguagem verbal e com as linguagens não verbais. Ao mesmo tempo, viabiliza-se o intercâmbio entre universidade e escola e caminhos são apontados para a formação inicial e contínua do professor de língua materna.This paper discusses the context of a distance communication project involving Brazilian elementary and middle schools (EMS students mediated by trainees and teachers. This supervised training course for students of the Pedagogy and the Pre-service Teacher Education Programs is part of the "Portuguese Teaching Methodology" course. It aims to motivate EMS students to take on their role as subjects in interlocutions, discovering the pleasure of both writing and reading, and the importance of being well equipped to achieve successful communication. The training course modality consists of guidelines that help trainees to build specific projects in cooperation with EMS teachers, involving intense work with verbal and non-verbal languages. The project development allows both exchanges between university and school, and the pre-service and continuing education of mother-tongue teachers.

  12. Social networks in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    and practice have focused on conceptual frameworks and practical techniques of promoting reflection through conversation in general and questioning in particular. However, in recent years, supervision research has started to focus on the social and technological aspects of supervision. This calls...... is constituted by the relationality of the actors, not by the actors themselves. In other words, no one acts in a vacuum but rather always under the influence of a wide range of surrounding and interconnected factors. Actors are actors because they are in a networked relationship. Thus, focusing on social...... and space. That involves mobilised an denrolled actos, both animate and inanimate (e.g. books, computers, etc. Actor-network theory defines a symmetry between animate and inanimate, i.e. subjects and objects, because ”human powers increasingly derive from the complex interconnections if human with material...

  13. Ethics in education supervision

    Directory of Open Access Journals (Sweden)

    Fatma ÖZMEN

    2008-06-01

    Full Text Available Supervision in education plays a crucial role in attaining educational goals. In addition to determining the present situation, it has a theoretical and practical function regarding the actions to be taken in general and the achievement of teacher development in particular to meet the educational goals in the most effective way. For the education supervisors to act ethically in their tasks while achieving this vital mission shall facilitate them to build up trust, to enhance the level of collaboration and sharing, thus it shall contribute to organizational effectiveness. Ethics is an essential component of educational supervision. Yet, it demonstrates rather vague quality due to the conditions, persons, and situations. Therefore, it is a difficult process to develop the ethical standards in institutions. This study aims to clarify the concept of ethics, to bring up its importance, and to make recommendations for more effective supervisions from the aspect of ethics, based on the literature review, some research results, and sample cases reported by teachers and supervisors.

  14. 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.

  15. 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%.

  16. 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.

  17. Clinical group supervision in yoga therapy: model effects, and lessons learned.

    Science.gov (United States)

    Forbes, Bo; Volpe Horii, Cassandra; Earls, Bethany; Mashek, Stephanie; Akhtar, Fiona

    2012-01-01

    Clinical supervision is an integral component of therapist training and professional development because of its capacity for fostering knowledge, self-awareness, and clinical acumen. Individual supervision is part of many yoga therapy training programs and is referenced in the IAYT Standards as "mentoring." Group supervision is not typically used in the training of yoga therapists. We propose that group supervision effectively supports the growth and development of yoga therapists-in-training. We present a model of group supervision for yoga therapist trainees developed by the New England School of Integrative Yoga Therapeutics™ (The NESIYT Model) that includes the background, structure, format, and development of our inaugural 18-month supervision group. Pre-and post-supervision surveys and analyzed case notes, which captured key didactic and process themes, are discussed. Clinical issues, such as boundaries, performance anxiety, sense of self efficacy, the therapeutic alliance, transference and counter transference, pacing of yoga therapy sessions, evaluation of client progress, and adjunct therapist interaction are reviewed. The timing and sequence of didactic and process themes and benefits for yoga therapist trainees' professional development, are discussed. The NESIYT group supervision model is offered as an effective blueprint for yoga therapy training programs.

  18. Researching online supervision

    DEFF Research Database (Denmark)

    Smedegaard Ernst Bengtsen, Søren; Mathiasen, Helle

    2014-01-01

    , 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...... us to research the digital tools on their own premises as autonomous things in themselves, possessing an ontological creativity of their own. In order for qualitative research to match the ontological nature of digital tools we conclude the article by formulating three criteria of a ‘torn......’ methodology that makes room for new approaches to researching online supervision at the university....

  19. Researching online supervision

    DEFF Research Database (Denmark)

    Bengtsen, Søren S. E.; Mathiasen, Helle

    2014-01-01

    us to research the digital tools on their own premises as autonomous things in themselves, possessing an ontological creativity of their own. In order for qualitative research to match the ontological nature of digital tools we conclude the article by formulating three criteria of a ‘torn......’ methodology that makes room for new approaches to researching online supervision at the university......., 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...

  20. Implementing clinical supervision: Part 1: laying the ground work.

    Science.gov (United States)

    Lynch, Lisa; Happell, Brenda

    2008-02-01

    Australia, like other countries, is experiencing a crisis in the recruitment and retention of nurses. Clinical supervision has been suggested as a potential strategy to enhance retention. However, there is a paucity of literature regarding the successful implementation of clinical supervision. The aim of this study is to explore and evaluate ways of implementing clinical supervision as undertaken in a rural health-care organization in Victoria. Qualitative methodology was used including a documentation audit and individual interviews with the staff responsible for implementation. The findings demonstrate that the successful implementation had occurred in five interrelated stages. This paper, one in a series of three, focuses on the preimplementation phase leading up to initial implementation. The main themes identified during these stages were: organizational culture, exploring the possibilities, leadership and education and training which will be examined. These issues were essential in laying the foundation for the systematic introduction of clinical supervision.

  1. 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.

  2. A new semi-supervised classification strategy combining active learning and spectral unmixing of hyperspectral data

    Science.gov (United States)

    Sun, Yanli; Zhang, Xia; Plaza, Antonio; Li, Jun; Dópido, Inmaculada; Liu, Yi

    2016-10-01

    Hyperspectral remote sensing allows for the detailed analysis of the surface of the Earth by providing high-dimensional images with hundreds of spectral bands. Hyperspectral image classification plays a significant role in hyperspectral image analysis and has been a very active research area in the last few years. In the context of hyperspectral image classification, supervised techniques (which have achieved wide acceptance) must address a difficult task due to the unbalance between the high dimensionality of the data and the limited availability of labeled training samples in real analysis scenarios. While the collection of labeled samples is generally difficult, expensive, and time-consuming, unlabeled samples can be generated in a much easier way. Semi-supervised learning offers an effective solution that can take advantage of both unlabeled and a small amount of labeled samples. Spectral unmixing is another widely used technique in hyperspectral image analysis, developed to retrieve pure spectral components and determine their abundance fractions in mixed pixels. In this work, we propose a method to perform semi-supervised hyperspectral image classification by combining the information retrieved with spectral unmixing and classification. Two kinds of samples that are highly mixed in nature are automatically selected, aiming at finding the most informative unlabeled samples. One kind is given by the samples minimizing the distance between the first two most probable classes by calculating the difference between the two highest abundances. Another kind is given by the samples minimizing the distance between the most probable class and the least probable class, obtained by calculating the difference between the highest and lowest abundances. The effectiveness of the proposed method is evaluated using a real hyperspectral data set collected by the airborne visible infrared imaging spectrometer (AVIRIS) over the Indian Pines region in Northwestern Indiana. In the

  3. Supervision af psykoterapi via Skype

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Grünbaum, Liselotte

    2011-01-01

    that although face-to-face meetings are to be preferred, today’s technology means that supervision via videoconference like Skype™ is better than just being acceptable. Thus, it offers a good alternative to face-to-face encounters, and in certain ways it even seems to boost the growth of the supervisees......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...

  4. Semi-supervised SVM for individual tree crown species classification

    Science.gov (United States)

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

    2015-12-01

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

  5. Improved semi-supervised online boosting for object tracking

    Science.gov (United States)

    Li, Yicui; Qi, Lin; Tan, Shukun

    2016-10-01

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

  6. 车辆段/停车场增设全自动运行功能的分析%Analysis of Automatic Train Operation Function of Depot and Parking Yard

    Institute of Scientific and Technical Information of China (English)

    黄志红

    2015-01-01

    基于目前车辆段/停车场的联锁控制方案,对车辆段/停车场作业的需求分析,通过在车辆段/停车场配置全自动运行区域,列车在该区域具备CBTC级别下的ATP/ATO功能以及ATS监控功能,并能够以ATO自动完成进出段/场的运行功能。%Based on the current interlocking control scheme for depot and parking yard, the paper makes analysis of the train operation requirements in depot and parking yard. With the arrangement of automatic train operation area in depot and parking yard, and trains acquire ATP/ATO function of CBTC level and ATS function, the trains with ATO can automatically running in and out depot and parking yard.

  7. Supervision in rehabilitation psychology: Application of Beatrice Wright's value-laden beliefs and principles.

    Science.gov (United States)

    Tackett, M Jan; Nash, Laurie; Stucky, Kirk Jeffrey; Nierenberg, Barry

    2016-02-01

    Clinical supervision is of critical importance for training subsequent generations of psychologists. Specialty training in rehabilitation psychology requires exposure to specific knowledge, skills, and attitudes related to disability and specialized supervision and mentorship. In the literature to date, minimal guidance exists regarding supervision training and methods specifically for rehabilitation psychologists. This article aims to provoke discussion regarding supervision practice and dissemination of the values fundamental to our specialty. The foundational wisdom of Dr. Beatrice Wright (1983) is applied for the purposes of this endeavor. Examples of clinical supervision scenarios are presented as teaching vignettes to demonstrate ways in which supervisors and mentors can incorporate this content, promote discussion, and apply it to real-world practice.

  8. Motivation techniques for supervision

    Science.gov (United States)

    Gray, N. D.

    1974-01-01

    Guide has been published which deals with various aspects of employee motivation. Training methods are designed to improve communication between supervisors and subordinates, to create feeling of achievement and recognition for every employee, and to retain personnel confidence in spite of some negative motivators. End result of training is reduction or prevention of errors.

  9. 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…

  10. Supervising PETE Candidates Using the Situational Supervision Model

    Science.gov (United States)

    Levy, Linda S.; Johnson, Lynn V.

    2012-01-01

    Physical education teacher candidates (PETCs) often, as part of their curricular requirements, engage in early field experiences that prepare them for student teaching. Matching the PETC's developmental level with the mentor's supervision style enhances this experience. The situational supervision model, based on the situational leadership model,…

  11. Exploring Clinical Supervision as Instrument for Effective Teacher Supervision

    Science.gov (United States)

    Ibara, E. C.

    2013-01-01

    This paper examines clinical supervision approaches that have the potential to promote and implement effective teacher supervision in Nigeria. The various approaches have been analysed based on the conceptual framework of instructional supervisory behavior. The findings suggest that a clear distinction can be made between the prescriptive and…

  12. Supervision of Supervised Agricultural Experience Programs: A Synthesis of Research.

    Science.gov (United States)

    Dyer, James E.; Williams, David L.

    1997-01-01

    A review of literature from 1964 to 1993 found that supervised agricultural experience (SAE) teachers, students, parents, and employers value the teachers' supervisory role. Implementation practices vary widely and there are no cumulative data to guide policies and standards for SAE supervision. (SK)

  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 contract-rela

  14. 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)

  15. 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 Section 109.323 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) A-MOBILE OFFSHORE... supervision. (a) There must be a sufficient number of trained persons on board the survival craft...

  16. Supervisees' Perception of Clinical Supervision

    Science.gov (United States)

    Willis, Lisa

    2010-01-01

    Supervisors must become aware of the possible conflicts that could arise during clinical supervision. It is important that supervisors communicate their roles and expectations effectively with their supervisees. This paper supports the notion that supervision is a mutual agreement between the supervisee and the supervisor and the roles of…

  17. 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…

  18. 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...

  19. Unfinished Business: Subjectivity and Supervision

    Science.gov (United States)

    Green, Bill

    2005-01-01

    Within the now burgeoning literature on doctoral research education, postgraduate research supervision continues to be a problematical issue, practically and theoretically. This paper seeks to explore and understand supervision as a distinctive kind of pedagogic practice. Informed by a larger research project, it draws on poststructuralism,…

  20. Late group-based rehabilitation has no advantages compared with supervised home-exercises after total knee arthroplasty

    DEFF Research Database (Denmark)

    Madsen, Majbritt; Larsen, Kristian; Madsen, Inger Kirkegård;

    2013-01-01

    This study aimed to test whether group-based rehabilitation focusing on strength training, education and self-management is more effective than individual, supervised home-training after fast-track total knee arthroplasty (TKA).......This study aimed to test whether group-based rehabilitation focusing on strength training, education and self-management is more effective than individual, supervised home-training after fast-track total knee arthroplasty (TKA)....

  1. Group supervision for general practitioners

    DEFF Research Database (Denmark)

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

    2013-01-01

    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...... 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......-established supervision group was studied closely for six months by observing the group sessions, and by interviewing GPs and their supervisors, individually and collectively. The interviews were recorded digitally and transcribed verbatim. The data were analysed using systematic text condensation. RESULTS: The GPs found...

  2. 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.

  3. Improving the Development of Postgraduates' Research and Supervision

    Science.gov (United States)

    Ismail, Affero; Abiddin, Norhasni Zainal; Hassan, Aminuddin

    2011-01-01

    Research and supervision have become a vital process in the successful of postgraduate studies. Building an academic career path after Higher National Degree or Bachelor Degree needs intensive training and preparation. This culminates in writing of thesis or dissertation. In this process, the supervisor is designated to facilitate the student's…

  4. SKYNET: an efficient and robust neural network training tool for machine learning in astronomy

    CERN Document Server

    Graff, Philip; Hobson, Michael P; Lasenby, Anthony N

    2013-01-01

    We present the first public release of our generic neural network training algorithm, called SKYNET. This efficient and robust machine-learning tool is able to train large and deep feed-forward neural networks, including autoencoders, for use in a wide range of supervised and unsupervised learning applications, such as regression, classification, density estimation, clustering and dimensionality reduction. SKYNET uses a powerful 'pre-training' method, to obtain a set of network parameters close to the true global maximum of the training objective function, followed by further optimisation using an automatically-regularised variant of Newton's method; the latter uses second-order derivative information to improve convergence, but without the need to evaluate or store the full Hessian matrix, by using a fast approximate method to calculate Hessian-vector products. This combination of methods allows for the training of complicated networks that are difficult to optimise using standard backpropagation techniques....

  5. Clinical supervision using video-conferencing technology: a reflective account.

    Science.gov (United States)

    Marrow, Carol E; Hollyoake, Kim; Hamer, Dorothy; Kenrick, Catherine

    2002-09-01

    This paper discusses three nursing practitioners' experiences of clinical supervision using video-conferencing (VC) technology. The study, based on supportive action research, involved 40 practising community and hospital nurses from a variety of specialties and took place over an 18-month period. The research was collaborative, educational and applied and focused on the effects of remote clinical supervision on the development of professional practice. Data were obtained through pre- and post-study questionnaires, repertory grids, focus group interviews and written narratives. The three research participants found that clinical supervision, as a mediator of learning, was vital in enabling them to develop their reflective and problem-solving skills. Through critical conversations with either a supervisor or within peer group supervision, the participants increased both their confidence and self-awareness and gained more insight into the practices and needs of other practitioners. They also examined critically patient care issues resulting in attention to existing or the development of new care protocols. They did, however, experience some impediments to the process of clinical supervision, mainly lack of peer and management support and ongoing education. The participants had mixed perceptions with regards to using VC technology for clinical supervision. They experienced technical and accessibility problems and communication problems, suggesting the need for clear protocols for both technical support and applied training.

  6. The impact of supervision on stock management and adherence to treatment guidelines: a randomized controlled trial.

    Science.gov (United States)

    Trap, B; Todd, C H; Moore, H; Laing, R

    2001-09-01

    Ensuring the availability of essential drugs and using them appropriately are crucial if limited resources for health care are to be used optimally. While training of health workers throughout Zimbabwe in drug management (including stock management and rational drug use) resulted in significant improvements in a variety of drug use indicators, these achievements could not be sustained, and a new strategy was introduced based on the supervision of primary health care providers. This was launched in 1995 with a training course in supervisory skills for district pharmacy staff. In order to evaluate the impact of the supervision and the effectiveness of the training programme, adherence to standard treatment guidelines (STG) and stock management protocols was evaluated in a randomized controlled trial. The study compared three different groups of health facilities: those that received supervision for either use of STG (n = 23) or stock management (n = 21) - each facility acting as control for the other area of supervision - and a comparison group of facilities which received no supervision (n = 18). On-the-spot supervision by a specially trained pharmacy staff, based around identified deficiencies, took place at the start of the study and 3 months later. The evaluation compared performance on a variety of drug management indicators at baseline and 6-8 months after the second supervisory visit. The results of the study showed that, following supervision, overall stock management improved significantly when compared with the control and comparison groups. Similar improvements were demonstrated for adherence to STG, although the effect was confounded by other interventions. The study also showed that supervision has a positive effect on improving performance in areas other than those supervised, and demonstrated that pharmacy technicians with limited clinical skills can be trained to influence primary health care workers to positively improve prescribing practices

  7. The Preparation and Supervision of Teachers of English as a Foreign Language in Thailand

    Science.gov (United States)

    Sagarik, Panninee

    1973-01-01

    Paper contributed as Thailand's Country Report to the Eighth Regional Seminar on "The Training and Supervision of Teachers of English as a Second or Foreign Language," July 3-7, 1973, Regional English Language Centre, Singapore. (HW)

  8. 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.

  9. 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.

  10. A semi-supervised support vector machine approach for parameter setting in motor imagery-based brain computer interfaces

    Science.gov (United States)

    Long, Jinyi; Yu, Zhuliang

    2010-01-01

    Parameter setting plays an important role for improving the performance of a brain computer interface (BCI). Currently, parameters (e.g. channels and frequency band) are often manually selected. It is time-consuming and not easy to obtain an optimal combination of parameters for a BCI. In this paper, motor imagery-based BCIs are considered, in which channels and frequency band are key parameters. First, a semi-supervised support vector machine algorithm is proposed for automatically selecting a set of channels with given frequency band. Next, this algorithm is extended for joint channel-frequency selection. In this approach, both training data with labels and test data without labels are used for training a classifier. Hence it can be used in small training data case. Finally, our algorithms are applied to a BCI competition data set. Our data analysis results show that these algorithms are effective for selection of frequency band and channels when the training data set is small. PMID:21886673

  11. 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...

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

    DEFF Research Database (Denmark)

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

    Deep generative models based upon continuous variational distributions parameterized by deep networks give state-of-the-art performance. In this paper we propose a framework for extending the latent representation with extra auxiliary variables in order to make the variational distribution more...... 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...

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

    Science.gov (United States)

    Hou, Bin; Wang, Yunhong; Liu, Qingjie

    2016-08-27

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

  14. Trade Supervision Adjustment in 2012

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    China revised its supervision policies on import and export trades again, with 13 notices approved by related government ministries and administrations as well as 15 catalogues of import and export licenses being involved.

  15. 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...

  16. 32 CFR 727.11 - Supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 5 2010-07-01 2010-07-01 false Supervision. 727.11 Section 727.11 National... Supervision. The Judge Advocate General will exercise supervision over all legal assistance activities in the Department of the Navy. Subject to the supervision of the Judge Advocate General, officers in charge of...

  17. Study on control algorithm for Automatic Train Operation based on neural network%基于神经网络的列车自动驾驶控制算法研究

    Institute of Scientific and Technical Information of China (English)

    费洋; 吴永城

    2014-01-01

    对列车自动驾驶系统的速度控制过程进行了分析,针对传统PID算法缺乏自适应能力的缺点,在传统神经网络算法的基础之上对神经元的学习算法作出改进,设计出了基于RBF网络辨识的单神经元自适应PID控制器,仿真结果表明该控制器能够满足列车自动驾驶系统速度控制要求。%The speed control process for Automatic Train Operation is analyzed, and as the traditional PID algorithm lacks adaptability, a single neuron adaptive PID controler based on RBF neural network is designed. The result of simulation shows that the controler can meet the speed control requirements for Automatic Train Operation.

  18. 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.

  19. Processes That Inform Multicultural Supervision: A meta-analysis.

    Science.gov (United States)

    Tohidian, Nilou B; Quek, Karen Mui-Teng

    2017-03-16

    As the fields of counseling and psychotherapy have become more cognizant that individuals, couples, and families bring with them a myriad of diversity factors into therapy, multicultural competency has also become a crucial component in the development of clinicians during clinical supervision and training. We employed a qualitative meta-analysis to provide a detailed and comprehensive description of similar themes identified in primary qualitative studies that have investigated supervisory practices with an emphasis on diversity. Findings revealed six meta-categories, namely: (a) Supervisor's Multicultural Stances; (b) Supervisee's Multicultural Encounters; (c) Competency-Based Content in Supervision; (d) Processes Surrounding Multicultural Supervision; (e) Culturally Attuned Interventions; and (f) Multicultural Supervisory Alliance. Implications for practice are discussed.

  20. Survey of overnight academic hospitalist supervision of trainees.

    Science.gov (United States)

    Farnan, Jeanne M; Burger, Alfred; Boonyasai, Romsai T; Boonayasai, Romsai T; Leykum, Luci; Harrison, Rebecca; Machulsky, Julie; Parekh, Vikas; Sharpe, Bradley A; Schleyer, Anneliese M; Arora, Vineet M

    2012-09-01

    In 2003, Accreditation Council for Graduate Medical Education (ACGME) announced the first in a series of guidelines related to the residency training. The most recent recommendations include explicit recommendations regarding the provision of on-site clinical supervision for trainees of internal medicine. To meet these standards, many internal medicine residency programs turned to hospitalist programs to fill that need. However, much is unknown about the current relationships between hospitalist and residency programs, specifically with regard to supervisory roles and supervision policies. We aimed to describe how academic hospitalists currently supervise housestaff during the on-call, or overnight, period and hospitalist program leader their perceptions of how these new policies would impact trainee-hospitalist interactions.

  1. Automatic Train Supervision (ATS) System of CASCO%卡斯柯信号有限公司研发全套列车自动监控(ATS)系统

    Institute of Scientific and Technical Information of China (English)

    陈杰

    2005-01-01

    城市轨道交通的车站站场简单、站间距离近、运行密度高、运行模式单一等,而铁路站场复杂,客货混运,作业方式复杂。因此,城市轨道交通对设备的要求及运营管理的方式与铁路系统存在很大的差别,其信号系统必然有所差异。

  2. Multivoiced Supervision of Master's Students: A Case Study of Alternative Supervision Practices in Higher Education

    Science.gov (United States)

    Dysthe, Olga; Samara, Akylina; Westrheim, Kariane

    2006-01-01

    This article describes and analyzes an alternative supervision model at the Master of Education Programme at the University of Bergen aimed at improving research supervision. A three-pronged approach was introduced, combining supervision groups, student colloquia and individual supervision. The supervision groups consisted of two supervisors and…

  3. 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.

  4. Towards automatic classification of all WISE sources

    Science.gov (United States)

    Kurcz, A.; Bilicki, M.; Solarz, A.; Krupa, M.; Pollo, A.; Małek, K.

    2016-07-01

    Context. The Wide-field Infrared Survey Explorer (WISE) has detected hundreds of millions of sources over the entire sky. Classifying them reliably is, however, a challenging task owing to degeneracies in WISE multicolour space and low levels of detection in its two longest-wavelength bandpasses. Simple colour cuts are often not sufficient; for satisfactory levels of completeness and purity, more sophisticated classification methods are needed. Aims: Here we aim to obtain comprehensive and reliable star, galaxy, and quasar catalogues based on automatic source classification in full-sky WISE data. This means that the final classification will employ only parameters available from WISE itself, in particular those which are reliably measured for the majority of sources. Methods: For the automatic classification we applied a supervised machine learning algorithm, support vector machines (SVM). It requires a training sample with relevant classes already identified, and we chose to use the SDSS spectroscopic dataset (DR10) for that purpose. We tested the performance of two kernels used by the classifier, and determined the minimum number of sources in the training set required to achieve stable classification, as well as the minimum dimension of the parameter space. We also tested SVM classification accuracy as a function of extinction and apparent magnitude. Thus, the calibrated classifier was finally applied to all-sky WISE data, flux-limited to 16 mag (Vega) in the 3.4 μm channel. Results: By calibrating on the test data drawn from SDSS, we first established that a polynomial kernel is preferred over a radial one for this particular dataset. Next, using three classification parameters (W1 magnitude, W1-W2 colour, and a differential aperture magnitude) we obtained very good classification efficiency in all the tests. At the bright end, the completeness for stars and galaxies reaches ~95%, deteriorating to ~80% at W1 = 16 mag, while for quasars it stays at a level of

  5. The complexities of power in feminist multicultural psychotherapy supervision.

    Science.gov (United States)

    Arczynski, Alexis V; Morrow, Susan L

    2017-03-01

    The goal of the present study was to understand how current feminist multicultural supervisors understand and implement their feminist multicultural principles into clinical supervision. We addressed this aim by answering the following research question: How do self-identified feminist multicultural psychotherapy supervisors conceptualize and practice feminist supervision that is explicitly multicultural? The perspectives of 14 participant supervisors were obtained by using semistructured initial interviews, follow-up interviews, and feedback interviews and were investigated via a feminist constructivist grounded theory design and analysis. Most participants identified as counseling psychologists (n = 12), women (n = 11) and temporarily able-bodied (n = 11); but they identified with diverse racial/ethnic, sexual, spiritual/religious, generational, and nationality statuses. A 7-category empirical framework emerged that explained how the participants anticipated and managed power in supervision. The core category, the complexities of power in supervision, explained how participants conceptualized power in supervisory relationships. The 6 remaining categories were bringing history into the supervision room, creating trust through openness and honesty, using a collaborative process, meeting shifting developmental (a)symmetries, cultivating critical reflexivity, and looking at and counterbalancing the impact of context. Limitations of the study, implications for research, and suggestions to use the theoretical framework to transform supervisory practice and training are discussed. (PsycINFO Database Record

  6. 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.

  7. Automatic Reading

    Institute of Scientific and Technical Information of China (English)

    胡迪

    2007-01-01

    <正>Reading is the key to school success and,like any skill,it takes practice.A child learns to walk by practising until he no longer has to think about how to put one foot in front of the other.The great athlete practises until he can play quickly,accurately and without thinking.Ed- ucators call it automaticity.

  8. Research on Automatic Train Operation Based on Model-free Adaptive Control%基于无模型自适应控制的城轨列车自动驾驶研究

    Institute of Scientific and Technical Information of China (English)

    石卫师

    2016-01-01

    The precise tracking of ATO (Automatic Train Operation)target speed curves in urban rail transit is the key for the safety,efficiency,passenger comfort and energy efficiency of trains.As the ATO system has the characteristics of hard modeling and high robustness requirement as a nonlinear,time variant,state-delayed and complex system,this paper introduced the method of model-free adaptive control into the design of ATO target speed curves tracking controller.By comparison with PID algorithm,the tracking control algorithm of ATO target speed curves using model-free adaptive control demonstrated good tracking effect,little speed er-ror,high stopping precision,high comfort and less energy consumption.%城轨列车 ATO(Automatic Train Operation)目标速度曲线的精确追踪是保障城轨列车安全、高效、舒适和节能的关键环节。针对列车 ATO 系统为非线性时变滞后复杂系统,具有建模难和鲁棒性要求高等特点,本文将无模型自适应控制方法引入 ATO 目标速度曲线追踪控制器的设计问题中。通过与 PID 控制方法对比,基于MFAC(Model Free Adaptive Control)的 ATO 目标速度曲线追踪控制算法,具有追踪效果好、速度误差小、停车精度高、舒适度高、能耗少等特点。

  9. 纪检监察专业人才学历教育校政共建机制研究--以西安文理学院为例%A Study on Academy-Government Cooperation Mechanism for Professional Personnel Training of the Discipline Inspection and Supervision Majors-A Case Study of Xi'an University

    Institute of Scientific and Technical Information of China (English)

    钱晓萍; 巩建萍

    2015-01-01

    纪检监察专业人才培养应由高等学院和纪检监察实务部门联合完成。政校共建机制框架建设包括成立组织机构、明确建设任务、划清职责分工、设置工作要求四个部分。高等学院的主要职责是完成教学和学生管理;纪检监察实务部门主要职责是落实实践环节;双方通力协作,积极探索,方能取得实效。%The professional training of the students who major in discipline inspection and supervision should be ac -complished by the joint efforts of the academy and the government .The academy-government cooperation mecha-nism includes four parts:the establishment of organization , a clear construction task , a definite division of responsi-bilities, and working requirements .The main responsibilities of college are teaching and student management , and the main responsibilities of discipline inspection and supervision departments are to implement the practical issues .

  10. Semi-supervised least squares support vector machine algorithm: application to offshore oil reservoir

    Science.gov (United States)

    Luo, Wei-Ping; Li, Hong-Qi; Shi, Ning

    2016-06-01

    At the early stages of deep-water oil exploration and development, fewer and further apart wells are drilled than in onshore oilfields. Supervised least squares support vector machine algorithms are used to predict the reservoir parameters but the prediction accuracy is low. We combined the least squares support vector machine (LSSVM) algorithm with semi-supervised learning and established a semi-supervised regression model, which we call the semi-supervised least squares support vector machine (SLSSVM) model. The iterative matrix inversion is also introduced to improve the training ability and training time of the model. We use the UCI data to test the generalization of a semi-supervised and a supervised LSSVM models. The test results suggest that the generalization performance of the LSSVM model greatly improves and with decreasing training samples the generalization performance is better. Moreover, for small-sample models, the SLSSVM method has higher precision than the semi-supervised K-nearest neighbor (SKNN) method. The new semisupervised LSSVM algorithm was used to predict the distribution of porosity and sandstone in the Jingzhou study area.

  11. Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

    Science.gov (United States)

    Ciompi, Francesco; de Hoop, Bartjan; van Riel, Sarah J; Chung, Kaman; Scholten, Ernst Th; Oudkerk, Matthijs; de Jong, Pim A; Prokop, Mathias; van Ginneken, Bram

    2015-12-01

    In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. Supervised learning is used, where a classifier is trained to label the detected nodule. The classification of the nodule in 3D is formulated as an ensemble of classifiers trained to recognize PFNs based on 2D views of the nodule. In order to describe nodule morphology in 2D views, we use the output of a pre-trained convolutional neural network known as OverFeat. We compare our approach with a recently presented descriptor of pulmonary nodule morphology, namely Bag of Frequencies, and illustrate the advantages offered by the two strategies, achieving performance of AUC = 0.868, which is close to the one of human experts.

  12. Defining competencies in psychology supervision: a consensus statement.

    Science.gov (United States)

    Falender, Carol A; Cornish, Jennifer A Erickson; Goodyear, Rodney; Hatcher, Robert; Kaslow, Nadine J; Leventhal, Gerald; Shafranske, Edward; Sigmon, Sandra T; Stoltenberg, Cal; Grus, Catherine

    2004-07-01

    Supervision is a domain of professional practice conducted by many psychologists but for which formal training and standards have been largely neglected. In this article, supervision is proposed as a core competency area in psychology for which a number of elements reflecting specific knowledge, skills, and values must be addressed to ensure adequate training and professional development of the trainee. Supra-ordinate factors of supervision viewed as permeating all aspects of professional development are proposed. These include the perspective that professional development is a lifelong, cumulative process requiring attention to diversity in all its forms, as well as legal and ethical issues, personal and professional factors, and self- and peer-assessment. A competencies framework is presented with particular elements representing knowledge (e.g., about psychotherapy, research, etc.), skills (including supervising modalities, relationship skills, etc.), values (e.g., responsibility for the clients and supervisee rests with supervisor, etc.), and meta-knowledge. Social contextual factors and issues of education and training, assessment, and future directions also are addressed, with specific elements listed. Suggestions for future work in this area are addressed, including the need to refine further and operationalize competences, develop clear expectations for accreditation and licensure regarding supervision competencies, and expand the description of developmental levels of supervisors from minimal to optimal competence. This is one of a series of articles published together in this issue of the Journal of Clinical Psychology. Several other articles that resulted from the Competencies Conference: Future Directions in Education and Credentialing in Professional Psychology will appear in Professional Psychology: Research and Practice and The Counseling Psychologist.

  13. Driver's situation awareness during supervision of automated control - comparison between SART and SAGAT measurement techniques

    NARCIS (Netherlands)

    Beukel, van den A.P.; Voort, van der M.C.; Risser, R.

    2014-01-01

    Systems enabling to drive automatically are being introduced on the market. When using this technology, drivers are in need for interfaces which support them with supervision of the automated control. Assessment of Situation Awareness (SA) which drivers are able to gain while using such interfaces,

  14. 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...

  15. Who is teaching and supervising our junior residents' central venous catheterizations?

    Directory of Open Access Journals (Sweden)

    Roberts James M

    2011-04-01

    Full Text Available Abstract Background The extent to which medical residents are involved in the teaching and supervision of medical procedures is unknown. This study aims to evaluate the teaching and supervision of junior residents in central venous catheterization (CVC by resident-teachers. Methods All PGY-1 internal medicine residents at two Canadian academic institutions were invited to complete a survey on their CVC experience, teaching, and supervision prior to their enrolment in a simulator CVC training curriculum. Results Of the 69 eligible PGY-1 residents, 32 (46% consenting participants were included in the study. There were no significant baseline differences between participants from the two institutions in terms of sex, number of ICU months completed, previous CVC training received, number of CVCs observed and performed. Only 16 participants (50% received any CVC training at baseline. Of those who received any training, 63% were taught only by senior resident-teachers. A total of 81 CVCs were placed by 17 participants. Thirty-two CVCs (45% were supervised by resident-teachers. Conclusions Resident-teachers play a significant role both in the teaching and supervision of CVCs placed by junior residents. Educational efforts should focus on preparing residents for their role in teaching and supervision of procedures.

  16. 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.

  17. Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep.

    Science.gov (United States)

    Mariani, Sara; Manfredini, Elena; Rosso, Valentina; Grassi, Andrea; Mendez, Martin O; Alba, Alfonso; Matteucci, Matteo; Parrino, Liborio; Terzano, Mario G; Cerutti, Sergio; Bianchi, Anna M

    2012-04-01

    This study aims to develop an automatic detector of the A phases of the cyclic alternating pattern, periodic activity that generally occurs during non-REM (NREM) sleep. Eight polysomnographic recordings from healthy subjects were examined. From EEG recordings, five band descriptors, an activity descriptor and a variance descriptor were extracted and used to train different machine-learning algorithms. A visual scoring provided by an expert clinician was used as golden standard. Four alternative mathematical machine-learning techniques were implemented: (1) discriminant classifier, (2) support vector machines, (3) adaptive boosting, and (4) supervised artificial neural network. The results of the classification, compared with the visual analysis, showed average accuracies equal to 84.9 and 81.5% for the linear discriminant and the neural network, respectively, while AdaBoost had a slightly lower accuracy, equal to 79.4%. The SVM leads to accuracy of 81.9%. The performance achieved by the automatic classification is encouraging, since an efficient automatic classifier would benefit the practice in everyday clinics, preventing the physician from the time-consuming activity of the visually scoring of the sleep microstructure over whole 8-h sleep recordings. Finally, the classification based on learning algorithms would provide an objective criterion, overcoming the problems of inter-scorer disagreement.

  18. Automatic Kurdish Dialects Identification

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2016-02-01

    Full Text Available Automatic dialect identification is a necessary Lan guage Technology for processing multi- dialect languages in which the dialects are linguis tically far from each other. Particularly, this becomes crucial where the dialects are mutually uni ntelligible. Therefore, to perform computational activities on these languages, the sy stem needs to identify the dialect that is the subject of the process. Kurdish language encompasse s various dialects. It is written using several different scripts. The language lacks of a standard orthography. This situation makes the Kurdish dialectal identification more interesti ng and required, both form the research and from the application perspectives. In this research , we have applied a classification method, based on supervised machine learning, to identify t he dialects of the Kurdish texts. The research has focused on two widely spoken and most dominant Kurdish dialects, namely, Kurmanji and Sorani. The approach could be applied to the other Kurdish dialects as well. The method is also applicable to the languages which are similar to Ku rdish in their dialectal diversity and differences.

  19. 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

  20. 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 points Artificial intelligence is a promising field for sport-related analysis. Implementations integrating pattern recognition techniques enable the automatic evaluation of data

  1. 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.

  2. Colleagues in the Classroom: A Video-Assisted Program for Teaching Supervision Skills. [Multimedia Kit].

    Science.gov (United States)

    Morgan, Robert L.; Gee, Tamara S.; Merrill, Zandria; Gerity, Brent P.; Brenchley, Rebecca

    This kit provides materials for training educators to better supervise paraeducators and other classroom personnel. It consists of an instructor's manual, a trainee's workbook, and six videotapes, one for each unit. The training program is intended for small groups in six sessions in either inservice or university settings. The instructor's manual…

  3. 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…

  4. Ethics in Rehabilitation Counselor Supervision.

    Science.gov (United States)

    Blackwell, Terry L.; Strohmer, Douglas C.; Belcas, Eva M.; Burton, Kathryn A.

    2002-01-01

    Article is an exploration of some of the ethical issues facing rehabilitation counselors who provide clinical supervision. Ethical issues related to competence, evaluation and due process, dual relationships, confidentiality, and informed consent are discussed. (Contains 28references, 2 tables, and 1 appendix.) (Author)

  5. 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

  6. 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.

  7. 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.

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

    Science.gov (United States)

    Radoi, Emanuel; Quinquis, André; Totir, Felix

    2006-12-01

    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 ([InlineEquation not available: see fulltext.] 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.

  9. 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.

  10. Conception on Automatic Water-feeding of Railway Passenger Train%铁路旅客列车自动上水设想

    Institute of Scientific and Technical Information of China (English)

    丁浩

    2015-01-01

    In recent years, with the construction of the passenger dedicated line and high-speed railway, the railway passenger transportation has changed a lot. The passenger train water-feeding is the important guarantee of the railway passenger transportation. How to efficiently, quickly and safely complete the water-feeding of the passenger train after it draw up at a station in the situation of short station dwell time and high traffic flow, it is related to the operation and development of railway passenger transportation. In order to meet the setout requirements of passenger train water-feeding, the ground equipment of passenger train water-feeding system should be improved.%近年来,随着客运专线、高速铁路的兴建,铁路客运发生着巨大的变化。客车上水是铁路客运运输的重要保障,如何在目前列车停站时间短、列流密度大的现状下,保证列车进站后高效、快速、安全的完成客车上水,关乎着铁路客运的运营与发展。为了满足客车上水的整备要求,应当改进客车上水系统的地面设备。

  11. Complexity overlooked: enhancing cultural competency in the white lesbian counseling trainee through education and supervision.

    Science.gov (United States)

    Davis, Deanna N

    2014-01-01

    Self-awareness is often associated with enhanced multicultural competency. Training programs must work to facilitate self-awareness in counseling trainees who hold both privileged and oppressed identities. In this article, I highlight a gap in the literature regarding how best to supervise white lesbian counseling trainees. Facilitating self-awareness through supervision will be explored as a tool for enhancing multicultural competency in the white lesbian counseling trainee. An exploration of understanding white privilege as well as the impact of oppression on lesbian counseling trainees, will be used to draw conclusions regarding effective supervision for this population. Additionally, suggestions for future research will be proposed.

  12. Blinking supervision in a working environment

    Science.gov (United States)

    Morcego, Bernardo; Argilés, Marc; Cabrerizo, Marc; Cardona, Genís; Pérez, Ramon; Pérez-Cabré, Elisabet; Gispets, Joan

    2016-02-01

    The health of the ocular surface requires blinks of the eye to be frequent in order to provide moisture and to renew the tear film. However, blinking frequency has been shown to decrease in certain conditions such as when subjects are conducting tasks with high cognitive and visual demands. These conditions are becoming more common as people work or spend their leisure time in front of video display terminals. Supervision of blinking frequency in such environments is possible, thanks to the availability of computer-integrated cameras. Therefore, the aim of the present study is to develop an algorithm for the detection of eye blinks and to test it, in a number of videos captured, while subjects are conducting a variety of tasks in front of the computer. The sensitivity of the algorithm for blink detection was found to be of 87.54% (range 30% to 100%), with a mean false-positive rate of 0.19% (range 0% to 1.7%), depending on the illumination conditions during which the image was captured and other computer-user spatial configurations. The current automatic process is based on a partly modified pre-existing eye detection and image processing algorithms and consists of four stages that are aimed at eye detection, eye tracking, iris detection and segmentation, and iris height/width ratio assessment.

  13. Semi-Supervised Learning Based on Manifold in BCI

    Institute of Scientific and Technical Information of China (English)

    Ji-Ying Zhong; Xu Lei; De-Zhong Yao

    2009-01-01

    A Laplacian support vector machine (LapSVM) algorithm,a semi-supervised learning based on manifold,is introduced to brain-computer interface (BCI) to raise the classification precision and reduce the subjects' training complexity.The data are collected from three subjects in a three-task mental imagery experiment.LapSVM and transductive SVM (TSVM) are trained with a few labeled samples and a large number of unlabeled samples.The results confirm that LapSVM has a much better classification than TSVM.

  14. 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...... that our feature space transformation improved the Dice overlap of segmentations obtained with an SVM classifier from 0.36 to 0.85 when only 10 atlases were used and from 0.79 to 0.85 when around 100 atlases were used....

  15. 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...

  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. 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...

  18. 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...

  19. 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...

  20. 7 CFR 70.12 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Supervision. 70.12 Section 70.12 Agriculture... PRODUCTS AND RABBIT PRODUCTS Grading of Poultry Products and Rabbit Products General § 70.12 Supervision. All grading service shall be subject to supervision at all times by the responsible State...

  1. 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....

  2. 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...

  3. 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....

  4. 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…

  5. 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,...

  6. 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...

  7. 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...

  8. 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,...

  9. 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…

  10. 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.

  11. Strengthen the cleaning company supervision and personnel training to prevent hospital infection%加强保洁公司监管和人员培训防止医院感染发生

    Institute of Scientific and Technical Information of China (English)

    阚飞; 陈岩

    2014-01-01

    目的:随着社会化保障功能的不断完善,医院的后勤服务不断社会化,保洁公司承担了院内环境卫生的清洁消毒、医疗废物分类、运送工作,在减轻医院负担的同时,却增加了医院感染流行爆发的隐患。切实加强对保洁公司的监管,提高保洁人员的职业素养,对控制医院感染有着重大意义。%Along with the continuous improvement of the social security function,the hospital logistic services is constant socialization,and the cleaning company undertakes the clean disinfection of the hospital environmental health,medical waste classification and delivery work.It reduces the burden of the hospital,at the same time,it increases the risk of nosocomial infection outbreak.Strengthening the cleaning company supervision and improving the cleaning personnel occupation accomplishment have great significance to control hospital infection.

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

    Energy Technology Data Exchange (ETDEWEB)

    Maduskar, Pragnya, E-mail: pragnya.maduskar@radboudumc.nl; Hogeweg, Laurens; Sánchez, Clara I.; Ginneken, Bram van [Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, 6525 GA (Netherlands); Jong, Pim A. de [Department of Radiology, University Medical Center Utrecht, 3584 CX (Netherlands); Peters-Bax, Liesbeth [Department of Radiology, Radboud University Medical Center, Nijmegen, 6525 GA (Netherlands); Dawson, Rodney [University of Cape Town Lung Institute, Cape Town 7700 (South Africa); Ayles, Helen [Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT (United Kingdom)

    2014-07-15

    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

  13. 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.

  14. 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.

  15. 38 CFR 36.4226 - Withdrawal of authority to close manufactured home loans on the automatic basis.

    Science.gov (United States)

    2010-07-01

    ... maintain $50,000 working capital and/or failure to file required financial statements. For supervised....C. 3702(e), the authority of any lender to close manufactured home loans on the automatic basis may... both supervised and nonsupervised lenders may be withdrawn for engaging in practices which...

  16. [Software version and medical device software supervision].

    Science.gov (United States)

    Peng, Liang; Liu, Xiaoyan

    2015-01-01

    The importance of software version in the medical device software supervision does not cause enough attention at present. First of all, the effect of software version in the medical device software supervision is discussed, and then the necessity of software version in the medical device software supervision is analyzed based on the discussion of the misunderstanding of software version. Finally the concrete suggestions on software version naming rules, software version supervision for the software in medical devices, and software version supervision scheme are proposed.

  17. Fatigue Level Estimation of Bill Based on Acoustic Signal Feature by Supervised SOM

    Science.gov (United States)

    Teranishi, Masaru; Omatu, Sigeru; Kosaka, Toshihisa

    Fatigued bills have harmful influence on daily operation of Automated Teller Machine(ATM). To make the fatigued bills classification more efficient, development of an automatic fatigued bill classification method is desired. We propose a new method to estimate bending rigidity of bill from acoustic signal feature of banking machines. The estimated bending rigidities are used as continuous fatigue level for classification of fatigued bill. By using the supervised Self-Organizing Map(supervised SOM), we estimate the bending rigidity from only the acoustic energy pattern effectively. The experimental result with real bill samples shows the effectiveness of the proposed method.

  18. SAR image segmentation with entropy ranking based adaptive semi-supervised spectral clustering

    Science.gov (United States)

    Zhang, Xiangrong; Yang, Jie; Hou, Biao; Jiao, Licheng

    2010-10-01

    Spectral clustering has become one of the most popular modern clustering algorithms in recent years. In this paper, a new algorithm named entropy ranking based adaptive semi-supervised spectral clustering for SAR image segmentation is proposed. We focus not only on finding a suitable scaling parameter but also determining automatically the cluster number with the entropy ranking theory. Also, two kinds of constrains must-link and cannot-link based semi-supervised spectral clustering is applied to gain better segmentation results. Experimental results on SAR images show that the proposed method outperforms other spectral clustering algorithms.

  19. 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

  20. Semi-supervised Learning for Photometric Supernova Classification

    CERN Document Server

    Richards, Joseph W; Freeman, Peter E; Schafer, Chad M; Poznanski, Dovi

    2011-01-01

    We present a semi-supervised method for photometric supernova typing. Our approach is to first use the nonlinear dimension reduction technique diffusion map to detect structure in a database of supernova light curves and subsequently employ random forest classification on a spectroscopically confirmed training set to learn a model that can predict the type of each newly observed supernova. We demonstrate that this is an effective method for supernova typing. As supernova numbers increase, our semi-supervised method efficiently utilizes this information to improve classification, a property not enjoyed by template based methods. Applied to supernova data simulated by Kessler et al. (2010b) to mimic those of the Dark Energy Survey, our methods achieve (cross-validated) 96% Type Ia purity and 86% Type Ia efficiency on the spectroscopic sample, but only 56% Type Ia purity and 48% efficiency on the photometric sample due to their spectroscopic followup strategy. To improve the performance on the photometric sample...

  1. A Supervised Classification Algorithm for Note Onset Detection

    Directory of Open Access Journals (Sweden)

    Douglas Eck

    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.

  2. Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors.

    Science.gov (United States)

    Stikic, Maja; Larlus, Diane; Ebert, Sandra; Schiele, Bernt

    2011-12-01

    This paper considers scalable and unobtrusive activity recognition using on-body sensing for context awareness in wearable computing. Common methods for activity recognition rely on supervised learning requiring substantial amounts of labeled training data. Obtaining accurate and detailed annotations of activities is challenging, preventing the applicability of these approaches in real-world settings. This paper proposes new annotation strategies that substantially reduce the required amount of annotation. We explore two learning schemes for activity recognition that effectively leverage such sparsely labeled data together with more easily obtainable unlabeled data. Experimental results on two public data sets indicate that both approaches obtain results close to fully supervised techniques. The proposed methods are robust to the presence of erroneous labels occurring in real-world annotation data.

  3. 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.

  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. Self-Supervised Dynamical Systems

    Science.gov (United States)

    Zak, Michail

    2003-01-01

    Some progress has been made in a continuing effort to develop mathematical models of the behaviors of multi-agent systems known in biology, economics, and sociology (e.g., systems ranging from single or a few biomolecules to many interacting higher organisms). Living systems can be characterized by nonlinear evolution of probability distributions over different possible choices of the next steps in their motions. One of the main challenges in mathematical modeling of living systems is to distinguish between random walks of purely physical origin (for instance, Brownian motions) and those of biological origin. Following a line of reasoning from prior research, it has been assumed, in the present development, that a biological random walk can be represented by a nonlinear mathematical model that represents coupled mental and motor dynamics incorporating the psychological concept of reflection or self-image. The nonlinear dynamics impart the lifelike ability to behave in ways and to exhibit patterns that depart from thermodynamic equilibrium. Reflection or self-image has traditionally been recognized as a basic element of intelligence. The nonlinear mathematical models of the present development are denoted self-supervised dynamical systems. They include (1) equations of classical dynamics, including random components caused by uncertainties in initial conditions and by Langevin forces, coupled with (2) the corresponding Liouville or Fokker-Planck equations that describe the evolutions of probability densities that represent the uncertainties. The coupling is effected by fictitious information-based forces, denoted supervising forces, composed of probability densities and functionals thereof. The equations of classical mechanics represent motor dynamics that is, dynamics in the traditional sense, signifying Newton s equations of motion. The evolution of the probability densities represents mental dynamics or self-image. Then the interaction between the physical and

  6. 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...

  7. 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 me...... metodens fremtidige perspektiver - set i lyset af de mange nye metoder, der 'kæmper' om de samme målgrupper i vejledningslandskabet så som f.eks. coaching, debriefing og mentoring....

  8. 49 CFR 236.566 - Locomotive of each train operating in train stop, train control or cab signal territory; equipped.

    Science.gov (United States)

    2010-10-01

    ..., train control or cab signal territory; equipped. 236.566 Section 236.566 Transportation Other... train stop, train control or cab signal territory; equipped. The locomotive from which brakes are controlled, of each train operating in automatic train stop, train control, or cab signal territory shall...

  9. Status Quo Of Drug Supervision in China

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    @@ Drugs are a special kind of commodity used to prevent,treat and diagnose diseases.Effective supervision of drugs has a great bearing on ensuring the safe use of pharmaceuticals by consumers and on safeguarding the right to lire and health of the general public.The Chinese government has always attached great importance to supervision over drug safety,and has always been commltted to the goal of strengthening such supervision and guaranteeing public drug safety.

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

    Indian Academy of Sciences (India)

    Nihir Patel; T L Wang

    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.

  11. Supervised Discrete Hashing With Relaxation.

    Science.gov (United States)

    Gui, Jie; Liu, Tongliang; Sun, Zhenan; Tao, Dacheng; Tan, Tieniu

    2016-12-29

    Data-dependent hashing has recently attracted attention due to being able to support efficient retrieval and storage of high-dimensional data, such as documents, images, and videos. In this paper, we propose a novel learning-based hashing method called ''supervised discrete hashing with relaxation'' (SDHR) based on ''supervised discrete hashing'' (SDH). SDH uses ordinary least squares regression and traditional zero-one matrix encoding of class label information as the regression target (code words), thus fixing the regression target. In SDHR, the regression target is instead optimized. The optimized regression target matrix satisfies a large margin constraint for correct classification of each example. Compared with SDH, which uses the traditional zero-one matrix, SDHR utilizes the learned regression target matrix and, therefore, more accurately measures the classification error of the regression model and is more flexible. As expected, SDHR generally outperforms SDH. Experimental results on two large-scale image data sets (CIFAR-10 and MNIST) and a large-scale and challenging face data set (FRGC) demonstrate the effectiveness and efficiency of SDHR.

  12. Definition and automatic anatomy recognition of lymph node zones in the pelvis on CT images

    Science.gov (United States)

    Liu, Yu; Udupa, Jayaram K.; Odhner, Dewey; Tong, Yubing; Guo, Shuxu; Attor, Rosemary; Reinicke, Danica; Torigian, Drew A.

    2016-03-01

    Currently, unlike IALSC-defined thoracic lymph node zones, no explicitly provided definitions for lymph nodes in other body regions are available. Yet, definitions are critical for standardizing the recognition, delineation, quantification, and reporting of lymphadenopathy in other body regions. Continuing from our previous work in the thorax, this paper proposes a standardized definition of the grouping of pelvic lymph nodes into 10 zones. We subsequently employ our earlier Automatic Anatomy Recognition (AAR) framework designed for body-wide organ modeling, recognition, and delineation to actually implement these zonal definitions where the zones are treated as anatomic objects. First, all 10 zones and key anatomic organs used as anchors are manually delineated under expert supervision for constructing fuzzy anatomy models of the assembly of organs together with the zones. Then, optimal hierarchical arrangement of these objects is constructed for the purpose of achieving the best zonal recognition. For actual localization of the objects, two strategies are used -- optimal thresholded search for organs and one-shot method for the zones where the known relationship of the zones to key organs is exploited. Based on 50 computed tomography (CT) image data sets for the pelvic body region and an equal division into training and test subsets, automatic zonal localization within 1-3 voxels is achieved.

  13. 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

  14. Diversity Competent Group Work Supervision: An Application of the Supervision of Group Work Model (SGW)

    Science.gov (United States)

    Okech, Jane E. Atieno; Rubel, Deborah

    2007-01-01

    This article emphasizes the need for concrete descriptions of supervision to promote diversity-competent group work and presents an application of the supervision of group work model (SGW) to this end. The SGW, a supervision model adapted from the discrimination model, is uniquely suited for promoting diversity competence in group work, since it…

  15. Implementability of Instructional Supervision as a Contemporary Educational Supervision Model in Turkish Education System

    OpenAIRE

    2012-01-01

    In this study, implementability of instructional supervision as one of contemporary educational supervision models in Turkish Education System was evaluated. Instructional supervision which aims to develop instructional processes and increase the quality of student learning based on observation of classroom activities requires collaboration among supervisors and teachers. In this literature review, significant problems have been detected due to structural organization, structural and control-...

  16. Automatic classification of retinal vessels into arteries and veins

    Science.gov (United States)

    Niemeijer, Meindert; van Ginneken, Bram; Abràmoff, Michael D.

    2009-02-01

    Separating the retinal vascular tree into arteries and veins is important for quantifying vessel changes that preferentially affect either the veins or the arteries. For example the ratio of arterial to venous diameter, the retinal a/v ratio, is well established to be predictive of stroke and other cardiovascular events in adults, as well as the staging of retinopathy of prematurity in premature infants. This work presents a supervised, automatic method that can determine whether a vessel is an artery or a vein based on intensity and derivative information. After thinning of the vessel segmentation, vessel crossing and bifurcation points are removed leaving a set of vessel segments containing centerline pixels. A set of features is extracted from each centerline pixel and using these each is assigned a soft label indicating the likelihood that it is part of a vein. As all centerline pixels in a connected segment should be the same type we average the soft labels and assign this average label to each centerline pixel in the segment. We train and test the algorithm using the data (40 color fundus photographs) from the DRIVE database1 with an enhanced reference standard. In the enhanced reference standard a fellowship trained retinal specialist (MDA) labeled all vessels for which it was possible to visually determine whether it was a vein or an artery. After applying the proposed method to the 20 images of the DRIVE test set we obtained an area under the receiver operator characteristic (ROC) curve of 0.88 for correctly assigning centerline pixels to either the vein or artery classes.

  17. 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.

  18. 19 CFR 146.4 - Operator responsibility and supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Operator responsibility and supervision. 146.4... and supervision. (a) Supervision. The operator shall supervise all admissions, transfers, removals... conditions of storage in the zone as required by law and regulations. Supervision by the operator shall...

  19. Customers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management

    CERN Document Server

    Emtiyaz, Siavash; 10.4156/AISS.vol3.issue9.31

    2012-01-01

    Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies in this information age. Data mining technologies extract hidden information and knowledge from large data stored in databases or data warehouses, thereby supporting the corporate decision making process. CRM uses data mining (one of the elements of CRM) techniques to interact with customers. This study investigates the use of a technique, semi-supervised learning, for the management and analysis of customer-related data warehouse and information. The idea of semi-supervised learning is to learn not only from the labeled training data, but to exploit also the structural information in additionally available unlabeled data. The proposed semi-supervised method is a model by means of a feed-forward neural network trained by a back propagation algorithm (multi-layer perceptron) in order to predict the category of an unknown customer (potential cus...

  20. Self-supervised Traversability Assessment in Field Environments with Lidar and Camera

    DEFF Research Database (Denmark)

    Hansen, Mikkel Kragh; Underwood, James; Karstoft, Henrik

    obstacles and threats across a variety of environmental conditions. In this paper, a self-supervised framework is proposed, combining laser range sensing from a lidar with images from a monocular camera to reliably assess terrain traversability/navigability. Methods The method uses a near-to-far approach......, where accurate near-distance classifications using lidar data are used to supervise a far-distance classifier of camera data. A simple geometric classifier detects flat, traversable ground patches using the lidar data and continuously feeds these patches as training data to a visual classifier. Finally...... to continuously adjust for environmental changes in illumination and appearance, thereby outperforming an equivalent offline-trained algorithm. Conclusion The proposed self-supervised framework successfully combines lidar and camera sensing in a near-to-far setting for assessing terrain traversability. Our...

  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...

  2. 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...

  3. 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...

  4. 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...

  5. 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 Ph...

  6. 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...

  7. The real relationship in psychotherapy supervision.

    Science.gov (United States)

    Watkins, C Edward

    2011-01-01

    While the real relationship has long been addressed in psychoanalysis and psychotherapy, the matter of the real relationship in psychotherapy supervision has yet to receive any attention. Ample supervisory focus has indeed been given to the working alliance and transference-countertransference configuration (including parallel processes), but after a century of psychotherapy supervision, any mention whatsoever of real relationship phenomena is absent. In this paper, the following hypotheses are proposed: The real relationship (1) is a crucial component of the supervision relationship that has transtheoretical implications; (2) exists from the moment supervision begins until its end; (3) is the forever silent yet forever substantive contributor to supervisory process and outcome; (4) exerts a significant impact on (a) the development and establishment of the supervisory working alliance and (b) the unfolding and eventual utilization of the transference-countertransference experience in the supervisory situation; (5) consists of at least two dimensions in supervision--realism and genuineness--that vary along valence and magnitude continua (building on the works of Greenson and Gelso), and (6) deserves a place of eminence equal to the working alliance and transference-countertransference configuration if supervision theory, practice, and research are to be most fully informed. The possibility of using recent real relationship research in psychotherapy as a prototype to inform future research in supervision is presented, and two case examples are provided to illustrate the seeming power of real relationship phenomena in psychotherapy supervision.

  8. 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....

  9. 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…

  10. 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...

  11. 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...

  12. Experiencing Higher Degree Research Supervision as Teaching

    Science.gov (United States)

    Bruce, Christine; Stoodley, Ian

    2013-01-01

    This article describes higher degree research supervisors' experiences of supervision as teaching. While research education is considered central to the higher degree research experience, comparatively little is known to date of the teaching lenses adopted by supervisors as they go about their supervision. We worked with 35 supervisors engaged in…

  13. 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...

  14. 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…

  15. 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…

  16. State Radiation Protection Supervision and Control

    CERN Document Server

    2002-01-01

    Radiation Protection Centre is carrying state supervision and control of radiation protection. The main objective of state supervision and control of radiation protection is assessing how licensees comply with requirements of the appropriate legislation and enforcement. Summary of inspections conducted in 2002 is presented.

  17. State Supervision and Control of Radiation Protection

    CERN Document Server

    2001-01-01

    Radiation Protection Centre is carrying state supervision and control of radiation protection. The main objective of state supervision and control of radiation protection is assessing how licensees comply with requirements of the appropriate legislation and enforcement. Summary of inspections conducted in 1999-2001 is presented.

  18. The School Counselor, the Cactus, and Supervision

    Science.gov (United States)

    Boyd, John D.; Walter, Paul B.

    1975-01-01

    The authors suggest that counselor supervision is a viable way to assist school counselors in dealing with lack of professional development opportunities. Supervision can facilitate the counselor's personal and professional development and can promote counselor competencies, accountability and the improvement of guidance services and programs. (SE)

  19. Active constraints selection based semi-supervised dimensionality in ensemble subspaces

    Institute of Scientific and Technical Information of China (English)

    Jie Zeng; Wei Nie; Yong Zhang

    2015-01-01

    Semi-supervised dimensionality reduction (SSDR) has attracted an increasing amount of attention in this big-data era. Many algorithms have been developed with a smal number of pairwise constraints to achieve performances comparable to those of ful y supervised methods. However, one chal enging problem with semi-supervised approaches is the appropriate choice of the constraint set, including the cardinality and the composition of the constraint set, which to a large extent, affects the performance of the resulting algorithm. In this work, we address the problem by incorporating ensemble subspace and active learning into dimen-sionality reduction and propose a new algorithm, termed as global and local scatter based SSDR with active pairwise constraints selection in ensemble subspaces (SSGL-ESA). Unlike traditional methods that select the supervised information in one subspace, we pick up pairwise constraints in ensemble subspace, where a novel active learning algorithm is designed with both exploration and filtering to generate informative pairwise constraints. The auto-matic constraint selection approach proposed in this paper can be generalized to be used with al constraint-based semi-supervised learning algorithms. Comparative experiments are conducted on two face database and the results validate the effectiveness of the proposed method.

  20. Towards designing an email classification system using multi-view based semi-supervised learning

    NARCIS (Netherlands)

    Li, Wenjuan; Meng, Weizhi; Tan, Zhiyuan; Xiang, Yang

    2014-01-01

    The goal of email classification is to classify user emails into spam and legitimate ones. Many supervised learning algorithms have been invented in this domain to accomplish the task, and these algorithms require a large number of labeled training data. However, data labeling is a labor intensive t

  1. 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)

  2. 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.

  3. Benchmarking protein classification algorithms via supervised cross-validation.

    Science.gov (United States)

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

    2008-04-24

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

  4. SUPERVISED LEARNING METHODS FOR BANGLA WEB DOCUMENT CATEGORIZATION

    Directory of Open Access Journals (Sweden)

    Ashis Kumar Mandal

    2014-09-01

    Full Text Available This paper explores the use of machine learning approaches, or more specifically, four supervised learning Methods, namely Decision Tree(C 4.5, K-Nearest Neighbour (KNN, Naïve Bays (NB, and Support Vector Machine (SVM for categorization of Bangla web documents. This is a task of automatically sorting a set of documents into categories from a predefined set. Whereas a wide range of methods have been applied to English text categorization, relatively few studies have been conducted on Bangla language text categorization. Hence, we attempt to analyze the efficiency of those four methods for categorization of Bangla documents. In order to validate, Bangla corpus from various websites has been developed and used as examples for the experiment. For Bangla, empirical results support that all four methods produce satisfactory performance with SVM attaining good result in terms of high dimensional and relatively noisy document feature vectors.

  5. Training traditional birth attendants in southern Sudan.

    Science.gov (United States)

    Haarsager, Mary

    2008-01-01

    Traditional birth attendants are currently the principal service providers to pregnant women in southern Sudan. A training program provides education to promote maternal and newborn health as well as birth preparedness and establishes mechanisms for supportive supervision.

  6. ARTIFICIAL INTELLIGENCE IN SPORTS ON THE EXAMPLE OF WEIGHT TRAINING

    Directory of Open Access Journals (Sweden)

    risto Novatchkov

    2013-03-01

    Full Text Available 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.

  7. Automated cell analysis tool for a genome-wide RNAi screen with support vector machine based supervised learning

    Science.gov (United States)

    Remmele, Steffen; Ritzerfeld, Julia; Nickel, Walter; Hesser, Jürgen

    2011-03-01

    RNAi-based high-throughput microscopy screens have become an important tool in biological sciences in order to decrypt mostly unknown biological functions of human genes. However, manual analysis is impossible for such screens since the amount of image data sets can often be in the hundred thousands. Reliable automated tools are thus required to analyse the fluorescence microscopy image data sets usually containing two or more reaction channels. The herein presented image analysis tool is designed to analyse an RNAi screen investigating the intracellular trafficking and targeting of acylated Src kinases. In this specific screen, a data set consists of three reaction channels and the investigated cells can appear in different phenotypes. The main issue of the image processing task is an automatic cell segmentation which has to be robust and accurate for all different phenotypes and a successive phenotype classification. The cell segmentation is done in two steps by segmenting the cell nuclei first and then using a classifier-enhanced region growing on basis of the cell nuclei to segment the cells. The classification of the cells is realized by a support vector machine which has to be trained manually using supervised learning. Furthermore, the tool is brightness invariant allowing different staining quality and it provides a quality control that copes with typical defects during preparation and acquisition. A first version of the tool has already been successfully applied for an RNAi-screen containing three hundred thousand image data sets and the SVM extended version is designed for additional screens.

  8. Semi Supervised Weighted K-Means Clustering for Multi Class Data Classification

    Directory of Open Access Journals (Sweden)

    Vijaya Geeta Dharmavaram

    2013-01-01

    Full Text Available Supervised Learning techniques require large number of labeled examples to train a classifier model. Research on Semi Supervised Learning is motivated by the availability of unlabeled examples in abundance even in domains with limited number of labeled examples. In such domains semi supervised classifier uses the results of clustering for classifier development since clustering does not rely only on labeled examples as it groups the objects based on their similarities. In this paper, the authors propose a new algorithm for semi supervised classification namely Semi Supervised Weighted K-Means (SSWKM. In this algorithm, the authors suggest the usage of weighted Euclidean distance metric designed as per the purpose of clustering for estimating the proximity between a pair of points and used it for building semi supervised classifier. The authors propose a new approach for estimating the weights of features by appropriately adopting the results of multiple discriminant analysis. The proposed method was then tested on benchmark datasets from UCI repository with varied percentage of labeled examples and found to be consistent and promising.

  9. 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.

  10. Is it possible to strengthen psychiatric nursing staff's clinical supervision?

    DEFF Research Database (Denmark)

    Gonge, Henrik; Buus, Niels

    2015-01-01

    AIM: To test the effects of a meta-supervision intervention in terms of participation, effectiveness and benefits of clinical supervision of psychiatric nursing staff. BACKGROUND: Clinical supervision is regarded as a central component in developing mental health nursing practices, but the evidence...... on individuals or wards already actively engaged in clinical supervision, which suggested that individuals and wards without well-established supervision practices may require more comprehensive interventions targeting individual and organizational barriers to clinical supervision....

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

    Science.gov (United States)

    Clarke, Luka A.; Couto, Francisco M.

    2017-01-01

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

  12. Semi-automatic knee cartilage segmentation

    Science.gov (United States)

    Dam, Erik B.; Folkesson, Jenny; Pettersen, Paola C.; Christiansen, Claus

    2006-03-01

    Osteo-Arthritis (OA) is a very common age-related cause of pain and reduced range of motion. A central effect of OA is wear-down of the articular cartilage that otherwise ensures smooth joint motion. Quantification of the cartilage breakdown is central in monitoring disease progression and therefore cartilage segmentation is required. Recent advances allow automatic cartilage segmentation with high accuracy in most cases. However, the automatic methods still fail in some problematic cases. For clinical studies, even if a few failing cases will be averaged out in the overall results, this reduces the mean accuracy and precision and thereby necessitates larger/longer studies. Since the severe OA cases are often most problematic for the automatic methods, there is even a risk that the quantification will introduce a bias in the results. Therefore, interactive inspection and correction of these problematic cases is desirable. For diagnosis on individuals, this is even more crucial since the diagnosis will otherwise simply fail. We introduce and evaluate a semi-automatic cartilage segmentation method combining an automatic pre-segmentation with an interactive step that allows inspection and correction. The automatic step consists of voxel classification based on supervised learning. The interactive step combines a watershed transformation of the original scan with the posterior probability map from the classification step at sub-voxel precision. We evaluate the method for the task of segmenting the tibial cartilage sheet from low-field magnetic resonance imaging (MRI) of knees. The evaluation shows that the combined method allows accurate and highly reproducible correction of the segmentation of even the worst cases in approximately ten minutes of interaction.

  13. 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.

  14. Automatic Speech Segmentation Based on HMM

    Directory of Open Access Journals (Sweden)

    M. Kroul

    2007-06-01

    Full Text Available This contribution deals with the problem of automatic phoneme segmentation using HMMs. Automatization of speech segmentation task is important for applications, where large amount of data is needed to process, so manual segmentation is out of the question. In this paper we focus on automatic segmentation of recordings, which will be used for triphone synthesis unit database creation. For speech synthesis, the speech unit quality is a crucial aspect, so the maximal accuracy in segmentation is needed here. In this work, different kinds of HMMs with various parameters have been trained and their usefulness for automatic segmentation is discussed. At the end of this work, some segmentation accuracy tests of all models are presented.

  15. Supervision over technological and measurement processes

    Directory of Open Access Journals (Sweden)

    T. Karkoszka

    2011-01-01

    Full Text Available Purpose: of the paper has been an attainment of the thesis: “If there is something we can define, we can measure it. If there is something we can measure, we can analyse that. If there is something we can analyse, we can supervise that. If there is something we can supervise, we can improve that [1]”.Design/methodology/approach: used for the analysis has covered proposition of the supervision over measurement processes system that can be applied in quality assurance.Findings: of analysis are as follows: system of supervision over measurement processes performed (in compliance with real, realised in an organisation processes, can assure the achievement of the accurate and reliable results that, being the base of any feedback in any process, have fundamental meaning in making appropriate decisions.Practical implications: can be applied in case of any organisation, wanting to demonstrate the conformity of processes in the range of requirements that apply to: products, workers, natural environment and others by supervision over measurement equipment.Originality/value: of the presented paper has been obtained by working out the design of supervision over measurement system, also measurement system capability, which should be supplement for supervision over processes system in the assurance of processes and products quality.

  16. A Computational Approach to Automatic Prediction of Drunk Texting

    OpenAIRE

    Joshi, Aditya; Mishra, Abhijit; AR, Balamurali; Bhattacharyya, Pushpak; Carman, Mark

    2016-01-01

    Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a text was written when under the influence of alcohol. We experiment with tweets labeled using hashtags as distant supervision. Our classifiers use a set of N-gram and stylistic features to detect drunk tweets. Our observations present the first quantitative evidence that text contains signals that can be exploited to...

  17. 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

  18. 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

  19. A supervision and control tool based on artificial intelligence for high cell density cultivations

    Directory of Open Access Journals (Sweden)

    A. C. L. Horta

    2014-06-01

    Full Text Available High cell density cultivations of recombinant E. coli have been increasingly used for the production of heterologous proteins. However, it is a challenge to maintain these cultivations within the desired conditions, given that some variables such as dissolved oxygen concentration (DOC and feed flow rate are difficult to control. This paper describes the software SUPERSYS_HCDC, a tool developed to supervise fed-batch cultures of rE. coli with biomass concentrations up to 150 gDCW/L and cell productivities up to 9 gDCW.L-1.h-1. The tool includes automatic control of the DOC by integrated action of the stirrer speed as well as of the air and oxygen flow rates; automatic start-up of the feed flow of fresh medium (system based on a neural network committee; and automatic slowdown of feeding when oxygen consumption exceeds the maximum capacity of the oxygen supply.

  20. Results of Evolution Supervised by Genetic Algorithms

    CERN Document Server

    Jäntschi, Lorentz; Bălan, Mugur C; Sestraş, Radu E

    2010-01-01

    A series of results of evolution supervised by genetic algorithms with interest to agricultural and horticultural fields are reviewed. New obtained original results from the use of genetic algorithms on structure-activity relationships are reported.

  1. Image Binarization Using Multi-Layer Perceptron: A Semi-Supervised Approach

    Directory of Open Access Journals (Sweden)

    Amlan Raychaudhuri

    2012-04-01

    Full Text Available In this paper, we have discussed the Image Binarization technique using Multilayer Perceptron (MLP. The purpose of Image Binarization is to extract the lightness (brightness, density as a feature amount from the Image. It converts a gray-scale image of up to 256 gray levels to a black and white image. We use Backpropagation algorithm for training MLP. It is a supervised learning technique. Here Kmeans clustering algorithm has been used for clustering a 256 × 256 gray-level image. The dataset obtained by this is fed to the MLP and processed in a Semi-Supervised way where some training samples are taken as Known patterns (for training and others as Unknown patterns. Finally through this approach a Binarized image is produced.

  2. Exploring My Style of Teacher Supervision

    OpenAIRE

    2009-01-01

    This is a report on a pilot study regarding language teacher supervision styles. The author holds a certificate in language program administration, and the pilot involved teachers of the Japanese language one of whom was also involved in the certificate program. The teachers teach at an American language institute and they agreed to be observed by the author, following procedures detailed in clinical supervision. After the lesson observation, a one-on-one conference was held with the author a...

  3. On psychoanalytic supervision as signature pedagogy.

    Science.gov (United States)

    Watkins, C Edward

    2014-04-01

    What is signature pedagogy in psychoanalytic education? This paper examines that question, considering why psychoanalytic supervision best deserves that designation. In focusing on supervision as signature pedagogy, I accentuate its role in building psychoanalytic habits of mind, habits of hand, and habits of heart, and transforming theory and self-knowledge into practical product. Other facets of supervision as signature pedagogy addressed in this paper include its features of engagement, uncertainty, formation, and pervasiveness, as well as levels of surface, deep, and implicit structure. Epistemological, ontological, and axiological in nature, psychoanalytic supervision engages trainees in learning to do, think, and value what psychoanalytic practitioners in the field do, think, and value: It is, most fundamentally, professional preparation for competent, "good work." In this paper, effort is made to shine a light on and celebrate the pivotal role of supervision in "making" or developing budding psychoanalysts and psychoanalytic psychotherapists. Now over a century old, psychoanalytic supervision remains unparalleled in (1) connecting and integrating conceptualization and practice, (2) transforming psychoanalytic theory and self-knowledge into an informed analyzing instrument, and (3) teaching, transmitting, and perpetuating the traditions, practice, and culture of psychoanalytic treatment.

  4. 9 CFR 355.31 - Supervision by inspector.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision by inspector. 355.31..., CERTIFICATION, AND IDENTIFICATION AS TO CLASS, QUALITY, QUANTITY, AND CONDITION Supervision § 355.31 Supervision... filled in whole or in part and no such label shall be affixed thereto except under the supervision of...

  5. 28 CFR 2.94 - 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. 2.94 Section 2.94 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.94 Supervision reports to Commission. An initial supervision report to confirm...

  6. 10 CFR 34.46 - Supervision of radiographers' assistants.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Supervision of radiographers' assistants. 34.46 Section 34... REQUIREMENTS FOR INDUSTRIAL RADIOGRAPHIC OPERATIONS Radiation Safety Requirements § 34.46 Supervision of... personal supervision of a radiographer. The personal supervision must include: (a) The...

  7. Opportunities to Learn Scientific Thinking in Joint Doctoral Supervision

    Science.gov (United States)

    Kobayashi, Sofie; Grout, Brian W.; Rump, Camilla Østerberg

    2015-01-01

    Research into doctoral supervision has increased rapidly over the last decades, yet our understanding of how doctoral students learn scientific thinking from supervision is limited. Most studies are based on interviews with little work being reported that is based on observation of actual supervision. While joint supervision has become widely…

  8. 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 Section 2.207 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT....207 Supervision reports to Commission. A regular supervision report shall be submitted to...

  9. 48 CFR 52.247-12 - Supervision, Labor, or Materials.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Supervision, Labor, or....247-12 Supervision, Labor, or Materials. As prescribed in 47.207-5(b), insert a clause substantially... when the contractor is required to furnish supervision, labor, or materials: Supervision, Labor,...

  10. 28 CFR 810.1 - Supervision contact requirements.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If...

  11. Exploring Supervisor and Supervisee Experiences of Triadic Supervision

    Science.gov (United States)

    Derrick, Emily C.

    2010-01-01

    This dissertation research focused on supervisor and supervisee experiences within the triadic supervision triad. Triadic supervision is an emerging method of supervision within counselor education. It is fast becoming the preferred mode of supervision in counselor education programs. Unfortunately, there is very little research to support the…

  12. A Model for Using Triadic Supervision in Counselor Preparation Programs

    Science.gov (United States)

    Lawson, Gerard; Hein, Serge F.; Getz, Hildy

    2009-01-01

    The Council for Accreditation of Counseling and Related Educational Programs (2001) has approved the use of triadic supervision as an alternative to individual supervision in clinical instruction. However, literature describing this mode of supervision is very limited. A model for triadic supervision is described, including presession planning,…

  13. Examining Self-Training Procedures in Leisure Swimming

    OpenAIRE

    J. Potdevin, Francois; Normani, Clement; Pelayo, Patrick

    2013-01-01

    This study investigated contents of training sessions from 387 regular swimmers involved in a recreational workout without supervision. We did use multiple correspondences analysis in order to identify self-trained swimmers typology in a sample from a social networking website, focusing on swimming practice. Self-reported parameters (n = 12) were age, gender, practice frequency, supervision in physical activity experiment, main training target, main reason for swimming choice, swimming sessio...

  14. 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.

  15. Adaptations of the Multifaceted Genogram in Counseling, Training, and Supervision.

    Science.gov (United States)

    Magnuson, Sandy; Shaw, Holly E.

    2003-01-01

    Provides a review of representative literature offering modifications of traditional genogram formats, procedures, and emphases. Topics include counseling techniques and interventions for couples' issues related to sexuality, intimacy, and gender roles. Families and stepfamilies are addressed in areas such as grief and loss, alcoholism, and…

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

    Science.gov (United States)

    Sudak, Donna M.; Goldberg, David A.

    2012-01-01

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

  17. 某高层酒店建筑自动喷水灭火系统设计审核评析%Evaluation and analysis of the automatic water-spraying fire-extinguishing system design and supervision of the high-rise hotel building

    Institute of Scientific and Technical Information of China (English)

    赵方强

    2016-01-01

    The article analyzes the high-rise building fire hazards. Combining with the high-rise hotel building engineering,starting from aspects of sprinkler nozzle selection,alarm valve and pipeline,and systematical design flow,it examines and evaluates the automatic water-spraying fire-extinguishing system of the high-rise hotel building,which will be good for guaranteeing the fire-fighting safety of the high-rise hotel building.%分析了高层建筑火灾的危险性,结合某高层酒店工程,从喷头选择、报警阀组与管道、系统设计流量等方面,对高层酒店的自动喷水灭火系统进行了审核评析,有利于保证高层酒店建筑的消防安全。

  18. The Supervisor and On-the-Job Training. Fourth Edition.

    Science.gov (United States)

    Broadwell, Martin M.

    This training book is designed to help supervisors give accurate and effective on-the-job training (OJT) to employees under their supervision. Chapter 1 identifies good and bad training and good and bad reasons for training. Chapter 2 examines human learning and three motivators: desire for reward, fear of punishment, and curiosity. Chapter 3…

  19. Self-care assessment as an indicator for clinical supervision in nursing

    Directory of Open Access Journals (Sweden)

    Sílvia Marlene Monteiro Teixeira

    2016-01-01

    Full Text Available Objective : to evaluate the needs of clinical supervision for nurses to assess the degree of dependence on self- care and planning of nursing interventions. Methods : analytical study, cross-cutting nature, collecting data from a sample of 110 patients. Results : it was shown the differences in the identification of the degree of dependence between registers and experts, as well as the selection of operations for each self-care and failures to the original assessment of the filling level (no evaluation self-care/no identification of the degree of dependence. Conclusion : there were gaps in the nursing process; they have proposed strategies such as clinical supervision sessions, training, case studies, protocols and guidance documents, to be included in a clinical supervision in nursing model.

  20. Self-care assessment as an indicator for clinical supervision in nursing

    Directory of Open Access Journals (Sweden)

    Sílvia Marlene Monteiro Teixeira

    2016-06-01

    Full Text Available Objective: to evaluate the needs of clinical supervision for nurses to assess the degree of dependence on self-care and planning of nursing interventions. Methods: analytical study, cross-cutting nature, collecting data from a sample of 110 patients. Results: it was shown the differences in the identification of the degree of dependence between registers and experts, as well as the selection of operations for each self-care and failures to the original assessment of the filling level (no evaluation self-care/no identification of the degree of dependence. Conclusion: there were gaps in the nursing process; they have proposed strategies such as clinical supervision sessions, training, case studies, protocols and guidance documents, to be included in a clinical supervision in nursing model.

  1. Inverse Category Frequency based supervised term weighting scheme for text categorization

    CERN Document Server

    Wang, Deqing; Wu, Wenjun

    2010-01-01

    Unsupervised term weighting schemes, borrowed from information retrieval field, have been widely used for text categorization and the most famous one is tf.idf. The intuition behind idf seems less reasonable for TC task than IR task. In this paper, we introduce inverse category frequency into supervised term weighting schemes and propose a novel icf-based method. The method combines icf and relevance frequency (rf) to weight terms in training dataset. Our experiments have shown that icf-based supervised term weighting scheme is superior to tf.rf and prob-based supervised term weighting schemes and tf.idf based on two widely used datasets, i.e., the unbalanced Reuters-21578 corpus and the balanced 20 Newsgroup corpus. We also present the detailed evaluations of each category of the two datasets among the four term weighting schemes on precision, recall and F1 measure.

  2. 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.

  3. 论农村换届选举中群众监督与法律监督的有效结合%Effective Integration of Supervision by the Masses and Legal Supervision in General Election

    Institute of Scientific and Technical Information of China (English)

    王天旺

    2011-01-01

    Supervision problems in rural general election were analyzed, lagging of pre-supervision, irregular of supervision in the act and subsequent supervision become a mere formality were studied, illuminating the supervision didn' t make a due contribution. Effective integration of mass supervision and legal supervision should be adopted. Candidate bulletin, preventive education and legal service work should be carried out before the election; cracking down illegal activity during election, pay attention to mass accusation; strengthening legal education and training after the election.%分析了农村换届选举的监督中存在的问题,对事前监督的滞后,事中监督的不规范,事后监督的流于形式进行了系统研究,证明了监督未起到应有效果.提出要有效结合群众监督和法律监督,事前做好候选公示、预防教育和法律服务工作;事中做好任前公示、严厉打击选举中的违纪行为,重视群众举报;事后要加强法制宣传教育和培训,严格执行离任审计和跟踪检查制度.

  4. Determining effects of non-synonymous SNPs on protein-protein interactions using supervised and semi-supervised learning.

    Directory of Open Access Journals (Sweden)

    Nan Zhao

    2014-05-01

    Full Text Available Single nucleotide polymorphisms (SNPs are among the most common types of genetic variation in complex genetic disorders. A growing number of studies link the functional role of SNPs with the networks and pathways mediated by the disease-associated genes. For example, many non-synonymous missense SNPs (nsSNPs have been found near or inside the protein-protein interaction (PPI interfaces. Determining whether such nsSNP will disrupt or preserve a PPI is a challenging task to address, both experimentally and computationally. Here, we present this task as three related classification problems, and develop a new computational method, called the SNP-IN tool (non-synonymous SNP INteraction effect predictor. Our method predicts the effects of nsSNPs on PPIs, given the interaction's structure. It leverages supervised and semi-supervised feature-based classifiers, including our new Random Forest self-learning protocol. The classifiers are trained based on a dataset of comprehensive mutagenesis studies for 151 PPI complexes, with experimentally determined binding affinities of the mutant and wild-type interactions. Three classification problems were considered: (1 a 2-class problem (strengthening/weakening PPI mutations, (2 another 2-class problem (mutations that disrupt/preserve a PPI, and (3 a 3-class classification (detrimental/neutral/beneficial mutation effects. In total, 11 different supervised and semi-supervised classifiers were trained and assessed resulting in a promising performance, with the weighted f-measure ranging from 0.87 for Problem 1 to 0.70 for the most challenging Problem 3. By integrating prediction results of the 2-class classifiers into the 3-class classifier, we further improved its performance for Problem 3. To demonstrate the utility of SNP-IN tool, it was applied to study the nsSNP-induced rewiring of two disease-centered networks. The accurate and balanced performance of SNP-IN tool makes it readily available to study the

  5. Novice supervisors' tasks and training

    DEFF Research Database (Denmark)

    Nielsen, Jan; Jacobsen, Claus Haugaard; Mathiesen, Birgit Bork

    2012-01-01

    Questionnaire covering a wide range of items on professional development, experience, and practice. In this paper we focus on background data (experience, training and practice), specifically the tasks and training of the respondents as novice supervisors. The results show, that a majority of novice supervisors...... were confronted with complicated jobs, e.g., group, internal and interdisciplinary supervision, but were not prepared, i.e. trained, prior to these tasks. These findings imply that more training is needed for novice supervisors. Preferably, this training should be introduced before, or at least...

  6. An Automated Algorithm to Screen Massive Training Samples for a Global Impervious Surface Classification

    Science.gov (United States)

    Tan, Bin; Brown de Colstoun, Eric; Wolfe, Robert E.; Tilton, James C.; Huang, Chengquan; Smith, Sarah E.

    2012-01-01

    An algorithm is developed to automatically screen the outliers from massive training samples for Global Land Survey - Imperviousness Mapping Project (GLS-IMP). GLS-IMP is to produce a global 30 m spatial resolution impervious cover data set for years 2000 and 2010 based on the Landsat Global Land Survey (GLS) data set. This unprecedented high resolution impervious cover data set is not only significant to the urbanization studies but also desired by the global carbon, hydrology, and energy balance researches. A supervised classification method, regression tree, is applied in this project. A set of accurate training samples is the key to the supervised classifications. Here we developed the global scale training samples from 1 m or so resolution fine resolution satellite data (Quickbird and Worldview2), and then aggregate the fine resolution impervious cover map to 30 m resolution. In order to improve the classification accuracy, the training samples should be screened before used to train the regression tree. It is impossible to manually screen 30 m resolution training samples collected globally. For example, in Europe only, there are 174 training sites. The size of the sites ranges from 4.5 km by 4.5 km to 8.1 km by 3.6 km. The amount training samples are over six millions. Therefore, we develop this automated statistic based algorithm to screen the training samples in two levels: site and scene level. At the site level, all the training samples are divided to 10 groups according to the percentage of the impervious surface within a sample pixel. The samples following in each 10% forms one group. For each group, both univariate and multivariate outliers are detected and removed. Then the screen process escalates to the scene level. A similar screen process but with a looser threshold is applied on the scene level considering the possible variance due to the site difference. We do not perform the screen process across the scenes because the scenes might vary due to

  7. Multicultural supervision: lessons learned about an ongoing struggle.

    Science.gov (United States)

    Christiansen, Abigail Tolhurst; Thomas, Volker; Kafescioglu, Nilufer; Karakurt, Gunnur; Lowe, Walter; Smith, William; Wittenborn, Andrea

    2011-01-01

    This article examines the experiences of seven diverse therapists in a supervision course as they wrestled with the real-world application of multicultural supervision. Existing literature on multicultural supervision does not address the difficulties that arise in addressing multicultural issues in the context of the supervision relationship. The experiences of six supervisory candidates and one mentoring supervisor in addressing multicultural issues in supervision are explored. Guidelines for conversations regarding multicultural issues are provided.

  8. Supervised learning with decision tree-based methods in computational and systems biology.

    Science.gov (United States)

    Geurts, Pierre; Irrthum, Alexandre; Wehenkel, Louis

    2009-12-01

    At the intersection between artificial intelligence and statistics, supervised learning allows algorithms to automatically build predictive models from just observations of a system. During the last twenty years, supervised learning has been a tool of choice to analyze the always increasing and complexifying data generated in the context of molecular biology, with successful applications in genome annotation, function prediction, or biomarker discovery. Among supervised learning methods, decision tree-based methods stand out as non parametric methods that have the unique feature of combining interpretability, efficiency, and, when used in ensembles of trees, excellent accuracy. The goal of this paper is to provide an accessible and comprehensive introduction to this class of methods. The first part of the review is devoted to an intuitive but complete description of decision tree-based methods and a discussion of their strengths and limitations with respect to other supervised learning methods. The second part of the review provides a survey of their applications in the context of computational and systems biology.

  9. Contributions to the Analysis and the Supervision of a Thermal Power Plant

    Directory of Open Access Journals (Sweden)

    Lakhoua M.N

    2016-02-01

    Full Text Available Supervision systems play an important role in industry mainly due to the increasing demand for product quality and high efficiency, and to the growing integration of automatic control systems in technical processes. In fact, the supervision system has a great number of components and interconnections, and it is difficult to describe and understand its behavior. Furthermore, the supervision system in industrial plants, implemented in supervisory control and data acquisition (SCADA software, must undertake, at least, the following three main tasks: monitoring, control and fault tolerance. So it can be classified as a complex system. The objective of this paper is to show interests of the use of functional analysis techniques such as SADT (Structured Analysis and Design Technique and SA-RT (Structured Analysis Real Time for the design of supervisory systems. This is why we present a general model of analysis and supervision of production systems. This model was based on the one hand on the functional analysis (FA and on the other hand on the SCADA system.

  10. Supervising Model of Independent Enterprise Group (Study of Community Development PT Badak NGL

    Directory of Open Access Journals (Sweden)

    Hermansyah Hermansyah

    2016-06-01

    Full Text Available This research aims to arrange an empowerment model of enterprise group through the program of Community Development in order to be independent and ready to compete, which is begun from the empirical study of the success of Cipta Busana Cooperative.. This research uses the descriptive analysis by using a case study on one enterprise supervised by PT Badak NGL that is Koperasi Cipta Busana (Kocibu. Kocibu is chosen to be the object of research due to its success to achieve the target to be the independent supervised enterprise in the fourth year. The data analysis method used in this research is the explorative analysis. Based on the research, there are some results such as that Kocibu is one of the supervised Micro, Small and Medium Enterprises of PT Badak NGL that could develop and be independent through several supporting programs. Some of key successes of Kocibu are as follows: a high commitment, a good leader, and intensive supervising programs. Besides, a good marketing system also contributes to the key of success. There are some aspects that naturally contribute to the Kocibu improvement and emerge naturally as follows: the leader figure and the high commitment from the stakeholders. While, the aspects emerged by design are: the supervising and training programs, the evaluation, the determination of rules, and the business targets. Hopefully, after this research has been conducted, the aspects appeared naturaly would be realized so early that the success of the public empowerment program will be able to increase. 

  11. Webly-supervised Fine-grained Visual Categorization via Deep Domain Adaptation.

    Science.gov (United States)

    Xu, Zhe; Huang, Shaoli; Zhang, Ya; Tao, Dacheng

    2016-12-08

    Learning visual representations from web data has recently attracted attention for object recognition. Previous studies have mainly focused on overcoming label noise and data bias and have shown promising results by learning directly from web data. However, we argue that it might be better to transfer knowledge from existing human labeling resources to improve performance at nearly no additional cost. In this paper, we propose a new semi-supervised method for learning via web data. Our method has the unique design of exploiting strong supervision, i.e., in addition to standard image-level labels, our method also utilizes detailed annotations including object bounding boxes and part landmarks. By transferring as much knowledge as possible from existing strongly supervised datasets to weakly supervised web images, our method can benefit from sophisticated object recognition algorithms and overcome several typical problems found in webly-supervised learning. We consider the problem of fine-grained visual categorization, in which existing training resources are scarce, as our main research objective. Comprehensive experimentation and extensive analysis demonstrate encouraging performance of the proposed approach, which, at the same time, delivers a new pipeline for fine-grained visual categorization that is likely to be highly effective for real-world applications.

  12. Group Supervision in Graduate Education: A Process of Supervision Skill Development and Text Improvement

    Science.gov (United States)

    Samara, Akylina

    2006-01-01

    This paper is an investigation of group supervision of the Master of Education thesis at the University of Bergen, Norway. Four recorded group supervision sessions are analysed. The group participants are five students and three supervisors. The sessions are analysed from a qualitative, phenomenological perspective. The results show that group…

  13. Classroom Supervision and Informal Analysis of Behavior. A Manual for Supervision.

    Science.gov (United States)

    Hull, Ray; Hansen, John

    This manual for supervision addresses itself to those with responsibility for helping teachers develop into skilled professionals through use of a rational plan of feedback and assistance. It describes the supervision cycle and outline simple and practical techniques to collect effective data that will assist the classroom teacher. The manual has…

  14. Mediation and Automatization.

    Science.gov (United States)

    Hutchins, Edwin

    This paper discusses the relationship between the mediation of task performance by some structure that is not inherent in the task domain itself and the phenomenon of automatization, in which skilled performance becomes effortless or phenomenologically "automatic" after extensive practice. The use of a common simple explicit mediating…

  15. Digital automatic gain control

    Science.gov (United States)

    Uzdy, Z.

    1980-01-01

    Performance analysis, used to evaluated fitness of several circuits to digital automatic gain control (AGC), indicates that digital integrator employing coherent amplitude detector (CAD) is best device suited for application. Circuit reduces gain error to half that of conventional analog AGC while making it possible to automatically modify response of receiver to match incoming signal conditions.

  16. Automatic Differentiation Package

    Energy Technology Data Exchange (ETDEWEB)

    2007-03-01

    Sacado is an automatic differentiation package for C++ codes using operator overloading and C++ templating. Sacado provide forward, reverse, and Taylor polynomial automatic differentiation classes and utilities for incorporating these classes into C++ codes. Users can compute derivatives of computations arising in engineering and scientific applications, including nonlinear equation solving, time integration, sensitivity analysis, stability analysis, optimization and uncertainity quantification.

  17. Issues in acoustic modeling of speech for automatic speech recognition

    OpenAIRE

    Gong, Yifan; Haton, Jean-Paul; Mari, Jean-François

    1994-01-01

    Projet RFIA; Stochastic modeling is a flexible method for handling the large variability in speech for recognition applications. In contrast to dynamic time warping where heuristic training methods for estimating word templates are used, stochastic modeling allows a probabilistic and automatic training for estimating models. This paper deals with the improvement of stochastic techniques, especially for a better representation of time varying phenomena.

  18. Intuitive expertise in ICT graduate supervision

    Directory of Open Access Journals (Sweden)

    Jill Jameson

    2002-12-01

    Full Text Available Intuitive expertise in the application of advanced interdisciplinary facilitation is the subject of this personal reflection on the graduate supervisory style of Professor David Squires in computers in education. This single-case reflective study examines the characteristics of effective supervision observed during masters and doctoral supervision at King's College in the years 1990-9. Interdisciplinarity in ICT graduate studies particularly requires a fluency of supervisory expertise in enabling supervisees to combine multiple complex perspectives from a number of fields of knowledge. Intuitive combinatory aspects of supervision are highlighted in this reflection on the role carried out by an academic expert in facilitating student success. This is examined from a perspective incorporating affective as well as intellectual elements, informed by characteristics identified in professional sports and performing arts coaching/mentoring. Key characteristics comprising a model of intuitive expertise in ICT graduate supervision were outlined. The resultant portrait aims to complement existing literature on graduate supervision, with reference to the field of ICTI computers in education relating to student hypermedia composition.

  19. Musical Instrument Classification Based on Nonlinear Recurrence Analysis and Supervised Learning

    Directory of Open Access Journals (Sweden)

    R.Rui

    2013-04-01

    Full Text Available In this paper, the phase space reconstruction of time series produced by different instruments is discussed based on the nonlinear dynamic theory. The dense ratio, a novel quantitative recurrence parameter, is proposed to describe the difference of wind instruments, stringed instruments and keyboard instruments in the phase space by analyzing the recursive property of every instrument. Furthermore, a novel supervised learning algorithm for automatic classification of individual musical instrument signals is addressed deriving from the idea of supervised non-negative matrix factorization (NMF algorithm. In our approach, the orthogonal basis matrix could be obtained without updating the matrix iteratively, which NMF is unable to do. The experimental results indicate that the accuracy of the proposed method is improved by 3% comparing with the conventional features in the individual instrument classification.

  20. Supervised learning of semantic classes for image annotation and retrieval.

    Science.gov (United States)

    Carneiro, Gustavo; Chan, Antoni B; Moreno, Pedro J; Vasconcelos, Nuno

    2007-03-01

    A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not require prior semantic segmentation of training images. In particular, images are represented as bags of localized feature vectors, a mixture density estimated for each image, and the mixtures associated with all images annotated with a common semantic label pooled into a density estimate for the corresponding semantic class. This pooling is justified by a multiple instance learning argument and performed efficiently with a hierarchical extension of expectation-maximization. The benefits of the supervised formulation over the more complex, and currently popular, joint modeling of semantic label and visual feature distributions are illustrated through theoretical arguments and extensive experiments. The supervised formulation is shown to achieve higher accuracy than various previously published methods at a fraction of their computational cost. Finally, the proposed method is shown to be fairly robust to parameter tuning.

  1. Locally supervised neural networks for approximating terramechanics models

    Science.gov (United States)

    Song, Xingguo; Gao, Haibo; Ding, Liang; Spanos, Pol D.; Deng, Zongquan; Li, Zhijun

    2016-06-01

    Neural networks (NNs) have been widely implemented for identifying nonlinear models, and predicting the distribution of targets, due to their ability to store and learn training samples. However, for highly complex systems, it is difficult to build a robust global network model, and efficiently managing the large amounts of experimental data is often required in real-time applications. In this paper, an effective method for building local models is proposed to enhance robustness and learning speed in globally supervised NNs. Unlike NNs, Gaussian processes (GP) produce predictions that capture the uncertainty inherent in actual systems, and typically provides superior results. Therefore, in this study, each local NN is learned in the same manner as a Gaussian process. A mixture of local model NNs is created and then augmented using weighted regression. This proposed method, referred to as locally supervised NN for weighted regression like GP, is abbreviated as "LGPN", is utilized for approximating a wheel-terrain interaction model under fixed soil parameters. The prediction results show that the proposed method yields significant robustness, modeling accuracy, and rapid learning speed.

  2. Caregivers' attitudes to education and supervision in work with the older people in a nursing home.

    Science.gov (United States)

    Häggström, Elisabeth; Bruhn, Sa

    2009-11-01

    Community-based care in Sweden has problems recruiting and keeping staff with formal competence and education. Both the caregiver's well-being and the receiver's care improve when the personnel receive support in the form of continuing supervision and education. Yet the caregivers in this study did not participate in a training and supervision programme during working hours. The aim of this study was to describe the attitudes towards education, support and supervision in the care of older people in municipal care in Sweden. The study used a qualitative approach with a descriptive design. Twelve caregivers, nine enrolled nurses and three nurses' aides from four wards in a nursing home were interviewed. The interviews were analysed with qualitative content analysis. The main findings showed that all of the caregivers were positive towards the idea of participating in training and asked for education and supervision but felt that the management did not create conditions that made it possible to participate during working hours. According to the findings there is a need for developing new forms and methods for learning that can be integrated into working life.

  3. A Two-Day Teacher-Training Programme for Medical Residents: Investigating the Impact on Teaching Ability

    Science.gov (United States)

    Busari, Jamiu O.; Scherpbier, Albert J. J. A.; van der Vleuten, Cees P. M.; Essed, Gerard G. M.

    2006-01-01

    Introduction: Many of the residents who supervise medical students in clinical practice are unfamiliar with the principles of effective supervision. Training in teaching skills is therefore seen as an effective strategy to improve the quality of clinical supervision. Method: Twenty seven medical residents were matched and assigned to an…

  4. All-optical automatic pollen identification: Towards an operational system

    Science.gov (United States)

    Crouzy, Benoît; Stella, Michelle; Konzelmann, Thomas; Calpini, Bertrand; Clot, Bernard

    2016-09-01

    We present results from the development and validation campaign of an optical pollen monitoring method based on time-resolved scattering and fluorescence. Focus is first set on supervised learning algorithms for pollen-taxa identification and on the determination of aerosol properties (particle size and shape). The identification capability provides a basis for a pre-operational automatic pollen season monitoring performed in parallel to manual reference measurements (Hirst-type volumetric samplers). Airborne concentrations obtained from the automatic system are compatible with those from the manual method regarding total pollen and the automatic device provides real-time data reliably (one week interruption over five months). In addition, although the calibration dataset still needs to be completed, we are able to follow the grass pollen season. The high sampling from the automatic device allows to go beyond the commonly-presented daily values and we obtain statistically significant hourly concentrations. Finally, we discuss remaining challenges for obtaining an operational automatic monitoring system and how the generic validation environment developed for the present campaign could be used for further tests of automatic pollen monitoring devices.

  5. Core ethical issues of clinical nursing supervision.

    Science.gov (United States)

    Berggren, Ingela; Barbosa da Silva, António; Severinsson, Elisabeth

    2005-03-01

    Clinical nursing supervision enables supervisees to reflect on ethically difficult caring situations, thereby strengthening their professional identity, integrating nursing theory and practice, and leading to the development of ethical competence. The aim of this study was to develop an understanding of the core ethical issues of clinical nursing supervision, using previous research as well as philosophical analysis of the theories of three moral philosophers: Harald Ofstad, Richard Hare and Carol Gilligan. The ultimate aim of this study was to develop a general model for ethical decision-making and to establish its relevance for clinical nursing supervision. The findings highlight four important values for the development of a basis for ethical decision-making. These values are caring, dignity, responsibility and virtue.

  6. Project Supervision – An Engineering Approach

    DEFF Research Database (Denmark)

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

    2011-01-01

    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......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...... at all meetings. Weekly meetings are scheduled to be at a specific day at a specific place for the entire process....

  7. Random forest automated supervised classification of Hipparcos periodic variable stars

    CERN Document Server

    Dubath, P; Süveges, M; Blomme, J; López, M; Sarro, L M; De Ridder, J; Cuypers, J; Guy, L; Lecoeur, I; Nienartowicz, K; Jan, A; Beck, M; Mowlavi, N; De Cat, P; Lebzelter, T; Eyer, L

    2011-01-01

    We present an evaluation of the performance of an automated classification of the Hipparcos periodic variable stars into 26 types. The sub-sample with the most reliable variability types available in the literature is used to train supervised algorithms to characterize the type dependencies on a number of attributes. The most useful attributes evaluated with the random forest methodology include, in decreasing order of importance, the period, the amplitude, the V-I colour index, the absolute magnitude, the residual around the folded light-curve model, the magnitude distribution skewness and the amplitude of the second harmonic of the Fourier series model relative to that of the fundamental frequency. Random forests and a multi-stage scheme involving Bayesian network and Gaussian mixture methods lead to statistically equivalent results. In standard 10-fold cross-validation experiments, the rate of correct classification is between 90 and 100%, depending on the variability type. The main mis-classification case...

  8. EEM{sup TM} wireless supervision

    Energy Technology Data Exchange (ETDEWEB)

    Bilic, H. [Ericsson-Nikola Tesla d.d. Zagreb (Croatia)

    2000-07-01

    By adding the GSM network to the communication level of Energy Management systems, energy operating centres (EOC) can offer wireless access to the supervised equipment. Furthermore EOC can profit from rapid service development in the GSM networks. With implementation of GPRS to the GSM network EOC can instantly offer wireless access to external IP based networks such as Internet and corporate Intranets. The author describes architecture and key characteristic of Ericsson EnergyMaster{sup TM} (EEM{sup TM}) system for Energy Management, how and where to implement wireless supervision, wireless access to IP addresses and also how to implement new services provided by the GSM network. (orig.)

  9. Incremental Supervised Subspace Learning for Face Recognition

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Subspace learning algorithms have been well studied in face recognition. Among them, linear discriminant analysis (LDA) is one of the most widely used supervised subspace learning method. Due to the difficulty of designing an incremental solution of the eigen decomposition on the product of matrices, there is little work for computing LDA incrementally. To avoid this limitation, an incremental supervised subspace learning (ISSL) algorithm was proposed, which incrementally learns an adaptive subspace by optimizing the maximum margin criterion (MMC). With the dynamically added face images, ISSL can effectively constrain the computational cost. Feasibility of the new algorithm has been successfully tested on different face data sets.

  10. Training Public Health Advisors.

    Science.gov (United States)

    Meyer, Pamela A; Brusuelas, Kristin M; Baden, Daniel J; Duncan, Heather L

    2015-01-01

    Federal public health advisors provide guidance and assistance to health departments to improve public health program work. The Centers for Disease Control and Prevention (CDC) prepares them with specialized training in administering public health programs. This article describes the evolving training and is based on internal CDC documents and interviews. The first federal public health advisors worked in health departments to assist with controlling syphilis after World War II. Over time, more CDC prevention programs hired them. To meet emerging needs, 3 major changes occurred: the Public Health Prevention Service, a fellowship program, in 1999; the Public Health Associate Program in 2007; and integration of those programs. Key components of the updated training are competency-based training, field experience, supervision, recruitment and retention, and stakeholder support. The enduring strength of the training has been the experience in a public health agency developing practical skills for program implementation and management.

  11. Opportunities to learn scientific thinking in joint doctoral supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie; Grout, Brian William Wilson; Rump, Camilla Østerberg

    2015-01-01

    Research into doctoral supervision has increased rapidly over the last decades, yet our understanding of how doctoral students learn scientific thinking from supervision is limited. Most studies are based on interviews with little work being reported that is based on observation of actual...... supervision. While joint supervision has become widely used, its learning dynamics remains under-researched and this paper aims to address these gaps in research by exploring learning opportunities in doctoral supervision with two supervisors. The study explores how the tensions in scientific discussion...... suggest that multiple supervisors can add value to supervision through authentic practice of scientific argumentation....

  12. Supervised classification of solar features using prior information

    Directory of Open Access Journals (Sweden)

    De Visscher Ruben

    2015-01-01

    Full Text Available Context: The Sun as seen by Extreme Ultraviolet (EUV telescopes exhibits a variety of large-scale structures. Of particular interest for space-weather applications is the extraction of active regions (AR and coronal holes (CH. The next generation of GOES-R satellites will provide continuous monitoring of the solar corona in six EUV bandpasses that are similar to the ones provided by the SDO-AIA EUV telescope since May 2010. Supervised segmentations of EUV images that are consistent with manual segmentations by for example space-weather forecasters help in extracting useful information from the raw data. Aims: We present a supervised segmentation method that is based on the Maximum A Posteriori rule. Our method allows integrating both manually segmented images as well as other type of information. It is applied on SDO-AIA images to segment them into AR, CH, and the remaining Quiet Sun (QS part. Methods: A Bayesian classifier is applied on training masks provided by the user. The noise structure in EUV images is non-trivial, and this suggests the use of a non-parametric kernel density estimator to fit the intensity distribution within each class. Under the Naive Bayes assumption we can add information such as latitude distribution and total coverage of each class in a consistent manner. Those information can be prescribed by an expert or estimated with an Expectation-Maximization algorithm. Results: The segmentation masks are in line with the training masks given as input and show consistency over time. Introduction of additional information besides pixel intensity improves upon the quality of the final segmentation. Conclusions: Such a tool can aid in building automated segmentations that are consistent with some ground truth’ defined by the users.

  13. Supervision--growing and building a sustainable general practice supervisor system.

    Science.gov (United States)

    Thomson, Jennifer S; Anderson, Katrina J; Mara, Paul R; Stevenson, Alexander D

    2011-06-06

    This article explores various models and ideas for future sustainable general practice vocational training supervision in Australia. The general practitioner supervisor in the clinical practice setting is currently central to training the future general practice workforce. Finding ways to recruit, retain and motivate both new and experienced GP teachers is discussed, as is the creation of career paths for such teachers. Some of the newer methods of practice-based teaching are considered for further development, including vertically integrated teaching, e-learning, wave consulting and teaching on the run, teaching teams and remote teaching. Approaches to supporting and resourcing teaching and the required infrastructure are also considered. Further research into sustaining the practice-based general practice supervision model will be required.

  14. Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach

    Directory of Open Access Journals (Sweden)

    Hong Wang

    2014-12-01

    Full Text Available To surface the Deep Web, one crucial task is to predict whether a given web page has a search interface (searchable HyperText Markup Language (HTML form or not. Previous studies have focused on supervised classification with labeled examples. However, labeled data are scarce, hard to get and requires tediousmanual work, while unlabeled HTML forms are abundant and easy to obtain. In this research, we consider the plausibility of using both labeled and unlabeled data to train better models to identify search interfaces more effectively. We present a semi-supervised co-training ensemble learning approach using both neural networks and decision trees to deal with the search interface identification problem. We show that the proposed model outperforms previous methods using only labeled data. We also show that adding unlabeled data improves the effectiveness of the proposed model.

  15. NEED OF FINANCIAL INSTITUTIONS SUPERVISION THROUGH AN SINGLE FRAMEWORK OF MACRO-PRUDENTIAL SUPERVISION

    Directory of Open Access Journals (Sweden)

    MEDAR LUCIAN-ION

    2013-12-01

    Full Text Available Joint Committee of the European Supervisory Authorities required Member States to implement new macro-prudential indicators.through national authorities of prudential supervision will be perform activities concerning the supplementary supervision of credit institutions, insurance companies or reinsurance companies, investment services firms and investment management firms, from a financial conglomerate. The most popular ways that give stability to the financial system are related to normal functioning of markets, to ensure implementation of payments in the economy and especially achieving a quality financial intermediation. Activities concerning macroprudential supervision concern, first of all, of managerial strengthening of internal control, assessment and management of risks

  16. Dental Nursing in Suriname: Training and Deployment.

    Science.gov (United States)

    Guile, E. Ernest; And Others

    1981-01-01

    A program for training dental nurses in Surinam is described whose objective is to alleviate a serious labor shortage. Its unique characteristics include an extra year of training for advanced techniques, absence of direct supervision, and acceptance by the national professional association for dentists. (MSE)

  17. Simulation-based training for colonoscopy

    DEFF Research Database (Denmark)

    Preisler, Louise; Svendsen, Morten Bo Søndergaard; Nerup, Nikolaj;

    2015-01-01

    simulations-based modalities provided reliable and valid assessments of competence in colonoscopy and credible pass/fail standards were established for both the tests. We propose to use these standards in simulation-based training programs before proceeding to supervised training on patients....

  18. A supervised contextual classifier based on a region-growth algorithm

    DEFF Research Database (Denmark)

    Lira, Jorge; Maletti, Gabriela Mariel

    2002-01-01

    A supervised classification scheme to segment optical multi-spectral images has been developed. In this classifier, an automated region-growth algorithm delineates the training sets. This algorithm handles three parameters: an initial pixel seed, a window size and a threshold for each class...... to show the value of this classifier. The goodness of the segmentation is evaluated by means of the x coefficient and a visual inspection of the results. (C) 2002 Elsevier Science Ltd. All rights reserved....

  19. Fast Automatic Heuristic Construction Using Active Learning

    OpenAIRE

    Ogilvie, William; Petoumenos, Pavlos; Wang, Zheng; Leather, Hugh

    2015-01-01

    Building effective optimization heuristics is a challenging task which often takes developers several months if not years to complete. Predictive modelling has recently emerged as a promising solution, automatically constructing heuristics from training data. However, obtaining this data can take months per platform. This is becoming an ever more critical problem and if no solution is found we shall be left with out of date heuristics which cannot extract the best performance from modern mach...

  20. Automatic post-picking using MAPPOS improves particle image detection from cryo-EM micrographs.

    Science.gov (United States)

    Norousi, Ramin; Wickles, Stephan; Leidig, Christoph; Becker, Thomas; Schmid, Volker J; Beckmann, Roland; Tresch, Achim

    2013-05-01

    Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction are extensively used to reveal structural information on macromolecular complexes. Aiming at the highest achievable resolution, state of the art electron microscopes automatically acquire thousands of high-quality micrographs. Particles are detected on and boxed out from each micrograph using fully- or semi-automated approaches. However, the obtained particles still require laborious manual post-picking classification, which is one major bottleneck for single particle analysis of large datasets. We introduce MAPPOS, a supervised post-picking strategy for the classification of boxed particle images, as additional strategy adding to the already efficient automated particle picking routines. MAPPOS employs machine learning techniques to train a robust classifier from a small number of characteristic image features. In order to accurately quantify the performance of MAPPOS we used simulated particle and non-particle images. In addition, we verified our method by applying it to an experimental cryo-EM dataset and comparing the results to the manual classification of the same dataset. Comparisons between MAPPOS and manual post-picking classification by several human experts demonstrated that merely a few hundred sample images are sufficient for MAPPOS to classify an entire dataset with a human-like performance. MAPPOS was shown to greatly accelerate the throughput of large datasets by reducing the manual workload by orders of magnitude while maintaining a reliable identification of non-particle images.

  1. Automatic identification of critical follow-up recommendation sentences in radiology reports.

    Science.gov (United States)

    Yetisgen-Yildiz, Meliha; Gunn, Martin L; Xia, Fei; Payne, Thomas H

    2011-01-01

    Communication of follow-up recommendations when abnormalities are identified on imaging studies is prone to error. When recommendations are not systematically identified and promptly communicated to referrers, poor patient outcomes can result. Using information technology can improve communication and improve patient safety. In this paper, we describe a text processing approach that uses natural language processing (NLP) and supervised text classification methods to automatically identify critical recommendation sentences in radiology reports. To increase the classification performance we enhanced the simple unigram token representation approach with lexical, semantic, knowledge-base, and structural features. We tested different combinations of those features with the Maximum Entropy (MaxEnt) classification algorithm. Classifiers were trained and tested with a gold standard corpus annotated by a domain expert. We applied 5-fold cross validation and our best performing classifier achieved 95.60% precision, 79.82% recall, 87.0% F-score, and 99.59% classification accuracy in identifying the critical recommendation sentences in radiology reports.

  2. A Novel Approach to Automatic Road-Accident Detection using Machine Vision Techniques

    Directory of Open Access Journals (Sweden)

    Vaishnavi Ravindran

    2016-11-01

    Full Text Available In this paper, a novel approach for automatic road accident detection is proposed. The approach is based on detecting damaged vehicles from footage received from surveillance cameras installed in roads and highways which would indicate the occurrence of a road accident. Detection of damaged cars falls under the category of object detection in the field of machine vision and has not been achieved so far. In this paper, a new supervised learning method comprising of three different stages which are combined into a single framework in a serial manner which successfully detects damaged cars from static images is proposed. The three stages use five support vector machines trained with Histogram of gradients (HOG and Gray level co-occurrence matrix (GLCM features. Since damaged car detection has not been attempted, two datasets of damaged cars - Damaged Cars Dataset-1 (DCD-1 and Damaged Cars Dataset-2 (DCD-2 – was compiled for public release. Experiments were conducted on DCD-1 and DCD-2 which differ based on the distance at which the image is captured and the quality of the images. The accuracy of the system is 81.83% for DCD-1 captured at approximately 2 meters with good quality and 64.37% for DCD-2 captured at approximately 20 meters with poor quality.

  3. Theory of Multiple Intelligences at Teacher Supervision

    Directory of Open Access Journals (Sweden)

    İzzet Döş

    2012-07-01

    Full Text Available This study aims to determine views of teachers and supervisors related to the multiple intelligences in students’ learning that they took into consideration in the evaluation of teachers during lesson supervision. The study was conducted with 5 supervisors who work at Kahramanmaraş provincial directorate of national education and 10 teachers who work at primary schools in the centre of Kahramanmaraş in 2011-2012 year. Data was gathered with the help of interview form consisting of five open-ended questions. In the analysis of the data content analysis which is one of the qualitative research methods. According to the results of the analysis, it has been found that usage of multiple intelligences theory in the evaluation students’ learning during supervision enabled them to evaluate students’ learning in a more detailed way. It also made it possible for the supervisors to examine supervision evaluations at different levels. It was also mentioned that supervisions made according to multiple intelligence theory has some limitations.

  4. Supervision That Improves Teaching: Strategies and Techniques.

    Science.gov (United States)

    Sullivan, Susan; Glanz, Jeffrey

    This book offers a plan for improved classroom practice through the supervisory process. It includes hands-on practices for developing a personalized supervision strategy, research-based and empirically tested strategies, field-tested tools and techniques for qualitative and quantitative observation, a comprehensive resource of traditional and…

  5. Instructional Supervision: The Policy-Practice Rift.

    Science.gov (United States)

    Tunison, Scott D.

    2001-01-01

    Discusses the results of a recent Canadian study in which the perceptions of superintendents, principals, and teachers were analyzed and compared in order to determine the actual level of agreement between the practices for instructional supervision outlined in the school division's policy manual and the actual practice in the schools governed by…

  6. Supporting Placement Supervision in Clinical Exercise Physiology

    Science.gov (United States)

    Sealey, Rebecca M.; Raymond, Jacqueline; Groeller, Herb; Rooney, Kieron; Crabb, Meagan; Watt, Kerrianne

    2015-01-01

    The continued engagement of the professional workforce as supervisors is critical for the sustainability and growth of work-integrated learning activities in university degrees. This study investigated factors that influence the willingness and ability of clinicians to continue to supervise clinical exercise physiology work-integrated learning…

  7. 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...

  8. Remote Video Supervision in Adapted Physical Education

    Science.gov (United States)

    Kelly, Luke; Bishop, Jason

    2013-01-01

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

  9. Spirituality and School Counselor Education and Supervision

    Science.gov (United States)

    Gallo, Laura L.

    2014-01-01

    Spirituality is an area that has not received a great deal of attention in supervision, yet it can have substantial effects on the counseling process. A definition of spirituality that allows for a variety of worldviews can be useful to both counselor and client as it helps strengthen the counseling relationship and lessen differences between…

  10. 19 CFR 19.34 - Customs supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Customs supervision. 19.34 Section 19.34 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN Space Bonded for the Storage...

  11. Cybersupervision: Conducting Supervision on the Information Superhighway.

    Science.gov (United States)

    Coursol, Diane

    The internship experience is an integral part of the graduate program for counselor education students. The APA Code of Ethics and Standards of Practice and the ACPA code of ethics require that students receive regular supervision from site and faculty supervisors during the practicum and internship experiences. However, when student counselors…

  12. Parallelprocesser og deres tilblivelse i supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2006-01-01

    Kapitlet beskæftiger sig med ”Parallelprocesser og deres tilblivelse i supervision”. Først indkredses parallelprocesbegrebet i dets mange variationer. Der er tale om et nøglebegreb i psykoanalytisk supervision, der overordnet set henviser til en relationel positionering eller tematik i...

  13. Exploring Principals' Perceptions of Supervised Agricultural Experience

    Science.gov (United States)

    Rayfield, John; Wilson, Elizabeth

    2009-01-01

    This study explored the perceptions of principals at high schools with agricultural education programs in regard to Supervised Agricultural Experience (SAE). There is evidence that suggests that high school principals' attitudes may both directly and indirectly affect factors that influence school climate and student achievement. In this study,…

  14. Computer Monitor Supervision: A Clinical Note.

    Science.gov (United States)

    Scherl, Charles R.; Haley, Jay

    2000-01-01

    Presents communication procedures for supervisors and therapy trainees that have been developed as a result of the use of computer technology. Using the computer as a supervision tool, therapy can be influenced by the supervisor while minimizing disruption. Successes and pitfalls in a master's level practicum course in family therapy are…

  15. 19 CFR 111.28 - Responsible supervision.

    Science.gov (United States)

    2010-04-01

    ... TREASURY CUSTOMS BROKERS Duties and Responsibilities of Customs Brokers § 111.28 Responsible supervision... the broker intends to transact customs business, a list of the names of persons currently employed by... the broker already has a permit, and before the broker begins to transact customs business as a...

  16. Case Studies in Middle Management Supervision

    Science.gov (United States)

    White, Lori S.

    2011-01-01

    This chapter presents a series of supervision-related case studies of situations that midlevel managers might face. Individuals enrolled in a midlevel management professional development course recommended the topics selected for this chapter. Drawing upon her experience teaching the course, the author selected four case studies that individuals…

  17. Experiences of Supervision at Practice Placement Sites

    Directory of Open Access Journals (Sweden)

    Lesley Diack

    2014-01-01

    Full Text Available Background. Whilst placement supervision and clinical education programmes are of significant value in shaping the behaviours of undergraduate healthcare students, appropriate provisions which are efficacious to the learner are somewhat lacking, particularly for students studying on UK MPharm programmes. Objectives. To explore and explain the value of placement supervision to the personal development and employability of undergraduate pharmacy students. Methods. Students participated in a week long community pharmacy pilot programme, a result of a collaborative effort between the School of Pharmacy and Life Sciences and a small consortium of community pharmacies. Students and stakeholders were asked to evaluate their experiences via separate questionnaires which had been developed to elicit views and attitudes. Key Findings. Feedback from students and stakeholders towards the experience was overwhelmingly positive with multiple benefits being reported. Of particular prominence was the emphasis in student feedback on the value of placement supervision to their professional and personal development. Findings were indicative of a development in clinical practice proficiencies, core skills, and improvement in decision-making practice. Conclusions. The benefits of clinical supervision to the professional and personal development of MPharm students are well documented, although attracting professional pharmacy supervisors is proving a problematic task for educational providers in the UK.

  18. On Restraint of and Supervision over Power

    Institute of Scientific and Technical Information of China (English)

    DONG YUNHU

    2007-01-01

    @@ Power is the nucleus of social and political life. Effective restraint on and supervision over the operation of power is the fundamental way of preventing corruption of power, which at the same time constitutes an important indication to democracy and its development in a given country.

  19. A Social Reconstruction Model of Supervision.

    Science.gov (United States)

    Seda, E. Elliott

    This paper presents a social reconstructionist model of supervision. The model connects schools and society, and considers the vital role teachers, students, staff, and others play in developing, designing, and implementing reforms in school and society. The model is based on the philosophy of social reconstructionism, which views schools as…

  20. The Learning Process of Supervisees Who Engage in the Reflecting Team Model within Group Supervision: A Grounded Theory Inquiry

    Science.gov (United States)

    Pender, Rebecca Lynn

    2012-01-01

    In recent years, counselor educators have begun to incorporate the use of the reflecting team process with the training of counselors. Specifically, the reflecting team has been used in didactic courses (Cox, 2003; Landis & Young, 1994; Harrawood, Wilde & Parmanand, 2011) and in supervision (Cox, 1997; Prest, Darden, & Keller, 1990;…

  1. Do structured arrangements for multidisciplinary peer group supervision make a difference for allied health professional outcomes?

    Directory of Open Access Journals (Sweden)

    Kuipers P

    2013-10-01

    Full Text Available Pim Kuipers,1,2 Susan Pager,1 Karen Bell,3 Fiona Hall,4 Melissa Kendall2,5,6 1Centre for Functioning and Health Research, Metro South Health, Brisbane, Queensland, Australia; 2Centre for Community Science, School of Human Services, Griffith University, Queensland, Australia; 3Darling Downs Hospital and Health Service, Queensland, Australia; 4Allied Health Professions Office of Queensland, Health Service and Innovation Division, Queensland, Australia; 5Acquired Brain Injury Outreach Service, Metro South Health, Brisbane, Queensland, Australia; 6Transitional Rehabilitation Programme, Metro South Health, Brisbane, Queensland, Australia Abstract: Peer group supervision, particularly in multidisciplinary formats, presents a potential means of providing professional support, and specifically clinical supervision, for allied health professionals. Debate exists regarding the extent to which the activities of these groups should be formalized. Results drawn from an evaluation of a large-scale peer group supervision initiative are described. Analysis of 192 responses from professionals involved in peer groups indicates that participants in groups that used formal documentation – which adopted the tools provided in training, and particularly those that used formal evaluation of their groups – rated their groups as having better processes and greater impact. Interestingly, multidisciplinary peer groups were rated as having similar impacts, processes, and purposes as the more homogenous single-discipline groups. It is concluded that the implementation of formal arrangements enhances the processes and outcomes of peer groups implemented for professional support and clinical supervision. Multidisciplinary membership of such groups is perceived as equally beneficial as single-discipline groups. Keywords: allied health, professional supervision, clinical supervision, professional support, multidisciplinary

  2. Word Automaticity of Tree Automatic Scattered Linear Orderings Is Decidable

    CERN Document Server

    Huschenbett, Martin

    2012-01-01

    A tree automatic structure is a structure whose domain can be encoded by a regular tree language such that each relation is recognisable by a finite automaton processing tuples of trees synchronously. Words can be regarded as specific simple trees and a structure is word automatic if it is encodable using only these trees. The question naturally arises whether a given tree automatic structure is already word automatic. We prove that this problem is decidable for tree automatic scattered linear orderings. Moreover, we show that in case of a positive answer a word automatic presentation is computable from the tree automatic presentation.

  3. Turning training into play

    DEFF Research Database (Denmark)

    Aarhus, Rikke; Grönvall, Erik; Larsen, Simon Bo;

    2011-01-01

    Embodied gaming has been adopted and gained credibility in the field of physical rehabilitation. In this paper, we report on findings from a six-month-long study of three groups of senior citizens, and their use of Nintendo Wii Fit in a supervised physical training context. We argue that the study...... participants generally found physical training both fun and socially engaging, and experienced improved fitness. We also argue that embodied gaming motivates seniors to do more than they think themselves capable of, and allows seniors with different mental and physical capabilities to play together. However...

  4. Supervisor's HEXACO personality traits and subordinate perceptions of abusive supervision

    NARCIS (Netherlands)

    Breevaart, Kimberley; Vries, de Reinout E.

    2017-01-01

    Abusive supervision is detrimental to both subordinates and organizations. Knowledge about individual differences in personality related to abusive supervision may improve personnel selection and potentially reduce the harmful effects of this type of leadership. Using the HEXACO personality framewor

  5. Rules for Supervision and Inspection of Offshore Oil Industry

    Institute of Scientific and Technical Information of China (English)

    Dai Zhongliang; Song Lisong

    1994-01-01

    @@ In short,safety supervision and technique inspection mean the safety supervision by the government,and the inspection by technical organization,and those are put into practice by a series of administrative rules and regulations.

  6. The Itinerant Professor: A Model for Rural Inservice Teacher Training.

    Science.gov (United States)

    Wood, Thomas A.; And Others

    1982-01-01

    A systematic inservice training program for rural area teachers of severely disabled students featured weekly seminars, field visits, and supervised practica centering on 19 competencies. Eighteen of the 25 original trainees completed the program. (CL)

  7. The iOSC3 System: Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders

    Directory of Open Access Journals (Sweden)

    Marcos Martínez-Romero

    2013-01-01

    Full Text Available Physicians in the Intensive Care Unit (ICU are specially trained to deal constantly with very large and complex quantities of clinical data and make quick decisions as they face complications. However, the amount of information generated and the way the data are presented may overload the cognitive skills of even experienced professionals and lead to inaccurate or erroneous actions that put patients’ lives at risk. In this paper, we present the design, development, and validation of iOSC3, an ontology-based system for intelligent supervision and treatment of critical patients with acute cardiac disorders. The system analyzes the patient’s condition and provides a recommendation about the treatment that should be administered to achieve the fastest possible recovery. If the recommendation is accepted by the doctor, the system automatically modifies the quantity of drugs that are being delivered to the patient. The knowledge base is constituted by an OWL ontology and a set of SWRL rules that represent the expert’s knowledge. iOSC3 has been developed in collaboration with experts from the Cardiac Intensive Care Unit (CICU of the Meixoeiro Hospital, one of the most significant hospitals in the northwest region of Spain.

  8. The Role of Laboratory Supervision in Improving the Quality of Malaria Diagnosis: A Pilot Study in Huambo, Angola.

    Science.gov (United States)

    Luckett, Rebecca; Mugizi, Rukaaka; Lopes, Sergio; Etossi, R Cacilda; Allan, Richard

    2016-03-01

    In 2006, the Angolan National Malaria Control Program introduced clinical guidelines for malaria case management, which included diagnostic confirmation of malaria before administration of treatment; however, diagnostic practices were inconsistent and of unknown quality. In 2009, a laboratory supervision program was implemented in Huambo Province, with the goal of assessing and improving diagnosis of malaria within the confines of available in-country resources. Supervisions were carried out from 2009 to 2014 using a standardized supervision tool by national laboratory trainers. Data from the first supervision were compared with that from the final supervision. Over the study period, the number and level of training of laboratory technicians increased, and there was a nonstatistically significant trend toward improved laboratory conditions. There was a significant reduction in false-positive microscopy slide reading (P = 0.0133). Laboratory infrastructural capacity to diagnose other communicable diseases, including syphilis, human immunodeficiency virus and hepatitis B virus infections (P = 0.0012, 0.0233 and 0.0026, respectively), also improved significantly. Laboratory supervision for malaria diagnosis found significant areas for improvement, and in combination with concurrent capacity-building activities, it improved the diagnostic capacity for malaria and other diseases. Importantly, this study demonstrates that locally available resources can be used to improve the accuracy of malaria diagnosis.

  9. Development of well construction and workover supervising in Russian Federation

    Science.gov (United States)

    Sizov, A.; Boyarko, G.; Shenderova, I.

    2014-08-01

    Despite long history of drilling supervising it still has a number of uncertainties. The period of rapid rise in supervising development at the beginning of the 90's changed in the 2000's. The necessity in the development of this sphere is obvious. The author describes the history of supervising, period of its market condition adaptation. The research also gives principles methods of supervising development and first steps for its position improvement.

  10. ANOMALY INTRUSION DETECTION DESIGN USING HYBRID OF UNSUPERVISED AND SUPERVISED NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    M. Bahrololum

    2009-07-01

    Full Text Available This paper proposed a new approach to design the system using a hybrid of misuse and anomalydetection for training of normal and attack packets respectively. The utilized method for attack training isthe combination of unsupervised and supervised Neural Network (NN for Intrusion Detection System. Bythe unsupervised NN based on Self Organizing Map (SOM, attacks will be classified into smallercategories considering their similar features, and then unsupervised NN based on Backpropagation willbe used for clustering. By misuse approach known packets would be identified fast and unknown attackswill be able to detect by this method.

  11. Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction

    Science.gov (United States)

    Le, Hoang-Quynh; Tran, Mai-Vu; Dang, Thanh Hai; Ha, Quang-Thuy; Collier, Nigel

    2016-01-01

    The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our system (namely UET-CAM) that participated in the BioCreative V CDR. The original UET-CAM system’s performance was ranked fourth among 18 participating systems by the BioCreative CDR track committee. In the Disease Named Entity Recognition and Normalization (DNER) phase, our system employed joint inference (decoding) with a perceptron-based named entity recognizer (NER) and a back-off model with Semantic Supervised Indexing and Skip-gram for named entity normalization. In the chemical-induced disease (CID) relation extraction phase, we proposed a pipeline that includes a coreference resolution module and a Support Vector Machine relation extraction model. The former module utilized a multi-pass sieve to extend entity recall. In this article, the UET-CAM system was improved by adding a ‘silver’ CID corpus to train the prediction model. This silver standard corpus of more than 50 thousand sentences was automatically built based on the Comparative Toxicogenomics Database (CTD) database. We evaluated our method on the CDR test set. Results showed that our system could reach the state of the art performance with F1 of 82.44 for the DNER task and 58.90 for the CID task. Analysis demonstrated substantial benefits of both the multi-pass sieve coreference resolution method (F1 + 4.13%) and the silver CID corpus (F1 +7.3%). Database URL: SilverCID–The silver-standard corpus for CID relation extraction is freely online available at: https://zenodo.org/record/34530 (doi:10.5281/zenodo.34530). PMID:27630201

  12. 18 CFR 367.9110 - Account 911, Supervision.

    Science.gov (United States)

    2010-04-01

    ..., Supervision. 367.9110 Section 367.9110 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operation and Maintenance Expense Chart of Accounts § 367.9110 Account 911, Supervision. This account must include the cost of labor and expenses incurred in the general direction and supervision...

  13. 28 CFR 2.95 - Early termination from supervision.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Early termination from supervision. 2.95 Section 2.95 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.95 Early termination from supervision. (a)(1) Upon its own motion or upon request of a...

  14. 25 CFR 213.43 - Relinquishment of Government supervision.

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 1 2010-04-01 2010-04-01 false Relinquishment of Government supervision. 213.43 Section... Relinquishment of Government supervision. All oil and gas leases hereafter executed shall contain the following relinquishment of supervision clause and terms operative after such relinquishment, or other provisions...

  15. 48 CFR 32.503-2 - Supervision of progress payments.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Supervision of progress... GENERAL CONTRACTING REQUIREMENTS CONTRACT FINANCING Progress Payments Based on Costs 32.503-2 Supervision of progress payments. (a) The extent of progress payments supervision, by prepayment review...

  16. 34 CFR 303.501 - Supervision and monitoring of programs.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false Supervision and monitoring of programs. 303.501 Section... INFANTS AND TODDLERS WITH DISABILITIES State Administration General § 303.501 Supervision and monitoring... supervision of programs and activities receiving assistance under this part; and (2) The monitoring...

  17. 7 CFR 27.73 - Supervision of transfers of cotton.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Supervision of transfers of cotton. 27.73 Section 27... Supervision of transfers of cotton. Whenever the owner of any cotton inspected and sampled for classification... be effected under the supervision of an exchange inspection agency or a supervisor of...

  18. 28 CFR 570.44 - Supervision and restraint requirements.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Supervision and restraint requirements... PROGRAMS AND RELEASE COMMUNITY PROGRAMS Escorted Trips § 570.44 Supervision and restraint requirements. Inmates under escort will be within the constant and immediate visual supervision of escorting staff...

  19. 18 CFR 367.9070 - Account 907, Supervision.

    Science.gov (United States)

    2010-04-01

    ..., Supervision. 367.9070 Section 367.9070 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operation and Maintenance Expense Chart of Accounts § 367.9070 Account 907, Supervision. This account must include the cost of labor and expenses incurred in the general direction and supervision...

  20. 9 CFR 590.418 - Supervision of marking and packaging.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision of marking and packaging...) Identifying and Marking Product § 590.418 Supervision of marking and packaging. (a) Evidence of label approval... container except by an inspector or under the supervision of an inspector or other person authorized by...

  1. 49 CFR 237.133 - Supervision of repairs and modifications.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Supervision of repairs and modifications. 237.133... Supervision of repairs and modifications. Each repair or modification pursuant to this part shall be performed under the immediate supervision of a railroad bridge supervisor as defined in § 237.55 of this part...

  2. 48 CFR 852.236-78 - Government supervision.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Government supervision. 852.236-78 Section 852.236-78 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS... Government supervision. As prescribed in 836.572, insert the following clause: Government Supervision...

  3. 7 CFR 27.80 - Fees; classification, Micronaire, and supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Fees; classification, Micronaire, and supervision. 27... Classification and Micronaire § 27.80 Fees; classification, Micronaire, and supervision. For services rendered by... classification and Micronaire determination results certified on cotton class certificates.) (e) Supervision,...

  4. 46 CFR 380.23 - Supervision of records.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 8 2010-10-01 2010-10-01 false Supervision of records. 380.23 Section 380.23 Shipping... § 380.23 Supervision of records. (a) Contractors and others subject to the provisions of this subpart... shall be responsible for supervision of its document retention and disposal program. Immediately...

  5. 18 CFR 367.9010 - Account 901, Supervision.

    Science.gov (United States)

    2010-04-01

    ..., Supervision. 367.9010 Section 367.9010 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operation and Maintenance Expense Chart of Accounts § 367.9010 Account 901, Supervision. This account must include the cost of labor and expenses incurred in the general direction and supervision...

  6. 46 CFR 131.420 - Manning and supervision.

    Science.gov (United States)

    2010-10-01

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

  7. 33 CFR 6.12-1 - General supervision and control.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false General supervision and control... GENERAL PROTECTION AND SECURITY OF VESSELS, HARBORS, AND WATERFRONT FACILITIES Supervision and Control of Explosives or Other Dangerous Cargo § 6.12-1 General supervision and control. The Captain of the Port...

  8. 34 CFR 300.149 - SEA responsibility for general supervision.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false SEA responsibility for general supervision. 300.149... EDUCATION OF CHILDREN WITH DISABILITIES State Eligibility Sea Responsibility for General Supervision and Implementation of Procedural Safeguards § 300.149 SEA responsibility for general supervision. (a) The SEA...

  9. 7 CFR 58.6 - Supervision of service.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Supervision of service. 58.6 Section 58.6 Agriculture... Grading Service § 58.6 Supervision of service. All inspection or grading service shall be subject to supervision by a supervisory inspector or grader, Area Supervisor, or by the Chief, or such other person...

  10. 7 CFR 27.16 - Inspection; weighing; samples; supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Inspection; weighing; samples; supervision. 27.16... Samples § 27.16 Inspection; weighing; samples; supervision. The inspection, weighing, and sampling of... Services Office shall be (a) under the supervision of a supervisor of cotton inspection, or (b) by or...

  11. 9 CFR 592.340 - Supervision of marking and packaging.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision of marking and packaging... § 592.340 Supervision of marking and packaging. (a) Evidence of label approval. Inspection program... product or container thereof except by an inspection program employee or under the supervision of...

  12. Status of Clinical Supervision among School Counselors in Southeast Georgia

    Science.gov (United States)

    Black, Anna Lila; Bailey, Carrie Lynn; Bergin, James J.

    2011-01-01

    Previous studies have investigated the role of clinical supervision in school counseling practice. This research explored the status and meaning of clinical supervision to school counselors employed in two southeastern Georgia counties. Results indicate that participants value clinical supervision even though their employers did not necessarily…

  13. 12 CFR 905.13 - Office of Supervision.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Office of Supervision. 905.13 Section 905.13... OPERATIONS DESCRIPTION OF ORGANIZATION AND FUNCTIONS General Organization § 905.13 Office of Supervision. (a) General. The Office of Supervision is responsible for conducting on-site examinations of the...

  14. 27 CFR 19.970 - Supervision of operations.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Supervision of operations..., DEPARTMENT OF THE TREASURY LIQUORS DISTILLED SPIRITS PLANTS Distilled Spirits For Fuel Use Supervision § 19.970 Supervision of operations. The appropriate TTB officer may assign appropriate TTB officers...

  15. 7 CFR 1944.665 - Supervision and inspection of work.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 13 2010-01-01 2009-01-01 true Supervision and inspection of work. 1944.665 Section 1944.665 Agriculture Regulations of the Department of Agriculture (Continued) RURAL HOUSING SERVICE... Supervision and inspection of work. Grantees are responsible for supervising all rehabilitation and...

  16. 33 CFR 326.4 - Supervision of authorized activities.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Supervision of authorized..., DEPARTMENT OF DEFENSE ENFORCEMENT § 326.4 Supervision of authorized activities. (a) Inspections. District... Government unless daily supervision or other unusual expenses are involved. In such unusual cases,...

  17. Higher Degree Research Supervision: From Practice toward Theory

    Science.gov (United States)

    Maxwell, T. W.; Smyth, Robyn

    2011-01-01

    This paper presents our theorizing about the complex nature of higher degree research supervision. The intent is to make a contribution to the current debates about higher education generally, and supervision of higher degree research students in particular. We add to the pedagogy of supervision by extending its scope to and beyond the supervisory…

  18. Integrating Creativity into Supervision Using Bernard's Discrimination Model

    Science.gov (United States)

    Koltz, Rebecca L.

    2008-01-01

    Clinical supervision is an important aspect of counselor education. Much of traditional supervision is conducted from a logical standpoint; however, some supervisees may be better served when supervisors integrate both logic and creativity. This article presents the integration of creative activities into supervision using Bernard's Discrimination…

  19. 19 CFR 19.38 - Supervision of exportation.

    Science.gov (United States)

    2010-04-01

    ... the sales ticket procedure for exportation shall be exported only under Customs supervision as... exportation transactions, examination of articles being exported, and audits of the proprietor's records. (b) Supervision of ATF bonded exports. Customs officers may conduct general supervision of exportations...

  20. Counseling Supervision within a Feminist Framework: Guidelines for Intervention

    Science.gov (United States)

    Degges-White, Suzanne E.; Colon, Bonnie R.; Borzumato-Gainey, Christine

    2013-01-01

    Feminist supervision is based on the principles of feminist theory. Goals include sharing responsibility for the supervision process, empowering the supervisee, attending to the contextual assumptions about clients, and analyzing gender roles. This article explores feminist supervision and guidelines for providing counseling supervision…