WorldWideScience

Sample records for automatic train supervision

  1. Learning slip behavior using automatic mechanical supervision

    OpenAIRE

    Angelova, Anelia; Matthies, Larry; Helmick, Daniel; Perona, Pietro

    2007-01-01

    We address the problem of learning terrain traversability properties from visual input, using automatic mechanical supervision collected from sensors onboard an autonomous vehicle. We present a novel probabilistic framework in which the visual information and the mechanical supervision interact to learn particular terrain types and their properties. The proposed method is applied to learning of rover slippage from visual information in a completely auto...

  2. Advanced Music Therapy Supervision Training

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2009-01-01

    supervision training excerpts live in the workshop will be offered. The workshop will include demonstrating a variety of supervision methods and techniques used in A) post graduate music therapy training programs b) a variety of work contexts such as psychiatry and somatic music psychotherapy. The workshop...

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

    DEFF Research Database (Denmark)

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

    2015-01-01

    Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images to segment. However, due to differences between...

  4. 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...

  5. Automatically controlled training systems

    International Nuclear Information System (INIS)

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

  6. 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…

  7. 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,…

  8. 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.

  9. Effects of Training and Supervision on the Self-Efficacy of Psychology Graduate Teaching Assistants.

    Science.gov (United States)

    Prieto, Loreto R.; Meyers, Steven A.

    1999-01-01

    Examines psychology graduate teaching assistants' (GTA) formal training and supervision experiences and whether these experiences increased the GTA's sense of self-efficacy toward teaching. Reveals that 30% received no training or supervision suggesting that GTAs receive inconsistent training and supervision; GTAs receiving training possessed a…

  10. 34 CFR 648.61 - How must the academic department supervise the training of fellows?

    Science.gov (United States)

    2010-07-01

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

  11. 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. PMID:25116655

  12. Supervision and automatic control of robotic systems in nuclear environments

    International Nuclear Information System (INIS)

    This paper describes new developments in controlling remote handling systems for nuclear applications. The main emphasis is to use robotic equipment and methods for reaching a high degree of system autonomy. A remote handling workstation concept is described, supporting various stages of mission planning and supervision by means of suited geometrical, procedural and functional models. The presented control system enables easy switching between semi-autonomous and manual task execution and sensor data integration. Some experimental results of a prototypic implementation are also described

  13. Controlled trial of supervised exercise training in chronic bronchitis.

    OpenAIRE

    D. J. Sinclair; Ingram, C G

    1980-01-01

    In a controlled trial of exercise retraining in patients with severe chronic bronchitis, 33 subjects were followed for a mean period of 10.3 months. The exercise programme was supervised once a week, and daily training comprised a 12-minute walk and simple stair climbing exercises. The subjects in the exercise group showed a highly significant improvement in their walking distance, attaining a maximum increase of 24% after eight to 12 months. There was also considerable subjective improvement...

  14. Safety and Efficacy of Supervised Strength Training Adopted in Pregnancy

    Science.gov (United States)

    O’Connor, Patrick J.; Poudevigne, Melanie S.; Cress, M. Elaine; Motl, Robert W.; Clapp, James F.

    2014-01-01

    Objective Describe safety and efficacy of a supervised, low-to-moderate intensity strength training program adopted during pregnancy among women at increased risk for back pain. Methods 32 women adopted strength training twice per week for 12 weeks. Data on musculoskeletal injuries, symptoms, blood pressure, and the absolute external load used for 5 of 6 exercises were obtained during each session. A submaximal lumbar extension endurance exercise test was performed at weeks 5, 10, and 13. Results The mean (± SD) exercise session attendance rate was 80.5% (± 11.3%). No musculoskeletal injuries occurred. Potentially adverse symptoms (eg, dizziness) were infrequent (2.1% of sessions). Repeated-measures ANOVA showed large increases in the external load across 12 weeks (all P values < .001) and the percentage increases in external load from weeks 1 to 12 were 36% for leg press, 39% for leg curl, 39% for lat pull down, 41% for lumbar extension and 56% for leg extension. Training was associated with a 14% increase in lumbar endurance. Blood pressure was unchanged following acute exercise sessions and after 12 weeks of exercise training. Conclusion The adoption of a supervised, low-to-moderate intensity strength training program during pregnancy can be safe and efficacious for pregnant women. PMID:21487130

  15. Practicum Class Supervision in CACREP-Accredited Counselor Training Programs: A National Survey.

    Science.gov (United States)

    Prieto, Loreto R.

    1998-01-01

    Counselor training programs were surveyed regarding their use of practicum class supervision. Descriptive findings concerning course logistics, supervisory style, and typical activities used in the practicum class supervision are presented. (Author)

  16. Automatic Training of Rat Cyborgs for Navigation

    OpenAIRE

    Yu, Yipeng; Wu, Zhaohui; Xu, Kedi; Gong, Yongyue; Zheng, Nenggan; Zheng, Xiaoxiang; Pan, Gang

    2016-01-01

    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 rep...

  17. Automatic Training of Rat Cyborgs for Navigation

    Science.gov (United States)

    Yu, Yipeng; Wu, Zhaohui; Xu, Kedi; Gong, Yongyue; Zheng, Nenggan; Zheng, Xiaoxiang; Pan, Gang

    2016-01-01

    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.

  18. A Device for Automatically Measuring and Supervising the Critical Care Patient’S Urine Output

    Directory of Open Access Journals (Sweden)

    Roemi Fernández

    2010-01-01

    Full Text Available Critical care units are equipped with commercial monitoring devices capable of sensing patients’ physiological parameters and supervising the achievement of the established therapeutic goals. This avoids human errors in this task and considerably decreases the workload of the healthcare staff. However, at present there still is a very relevant physiological parameter that is measured and supervised manually by the critical care units’ healthcare staff: urine output. This paper presents a patent-pending device capable of automatically recording and supervising the urine output of a critical care patient. A high precision scale is used to measure the weight of a commercial urine meter. On the scale’s pan there is a support frame made up of Bosch profiles that isolates the scale from force transmission from the patient’s bed, and guarantees that the urine flows properly through the urine meter input tube. The scale’s readings are sent to a PC via Bluetooth where an application supervises the achievement of the therapeutic goals. The device is currently undergoing tests at a research unit associated with the University Hospital of Getafe in Spain.

  19. 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…

  20. Supervised learning with restricted training sets: a generating functional analysis

    International Nuclear Information System (INIS)

    We study the dynamics of supervised on-line learning of realizable tasks in feed-forward neural networks. We focus on the regime where the number of examples used for training is proportional to the number of input channels N. Using generating functional techniques from spin glass theory, we are able to average over the composition of the training set and transform the problem for N→∞ to an effective single pattern system described completely by the student autocovariance, the student-teacher overlap and the student response function with exact closed equations. Our method applies to arbitrary learning rules, i.e., not necessarily of a gradient-descent type. The resulting exact macroscopic dynamical equations can be integrated without finite-size effects up to any degree of accuracy, but their main value is in providing an exact and simple starting point for analytical approximation schemes. Finally, we show how, in the region of absent anomalous response and using the hypothesis that (as in detailed balance systems) the short-time part of the various operators can be transformed away, one can describe the stationary state of the network successfully by a set of coupled equations involving only four scalar order parameters. (author)

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

    Science.gov (United States)

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

    2015-10-01

    The aim was to determine the effect of one weekly hour of specific strength training within working hours, performed with the same total training volume but with different training frequencies and durations, or with different levels of supervision, on compliance, muscle health and performance, behavior and work performance. In total, 573 office workers were cluster-randomized to: 1 WS: one 60-min supervised session/week, 3 WS: three 20-min supervised sessions/week, 9 WS: nine 7-min supervised sessions/week, 3 MS: three 20-min sessions/week with minimal supervision, or REF: a reference group without training. Outcomes were diary-based compliance, total training volume, muscle performance and questionnaire-based health, behavior and work performance. Comparisons were made among the WS training groups and between 3 WS and 3 MS. If no difference, training groups were collapsed (TG) and compared with REF. Results demonstrated similar degrees of compliance, mean(range) of 39(33-44)%, and total training volume, 13.266(11.977-15.096)kg. Musculoskeletal pain in neck and shoulders were reduced with approx. 50% in TG, which was significant compared with REF. Only the training groups improved significantly their muscle strength 8(4-13)% and endurance 27(12-37)%, both being significant compared with REF. No change in workability, productivity or self-rated health was demonstrated. Secondary analysis showed exercise self-efficacy to be a significant predictor of compliance. Regardless of training schedule and supervision, similar degrees of compliance were shown together with reduced musculoskeletal pain and improved muscle performance. These findings provide evidence that a great degree of flexibility is legitimate for companies in planning future implementation of physical exercise programs at the workplace. ClinicalTrials.gov, number NCT01027390. PMID:25816746

  2. Weakly supervised automatic segmentation and 3D modeling of the knee joint from MR images

    Science.gov (United States)

    Amami, Amal; Ben Azouz, Zouhour

    2013-12-01

    Automatic segmentation and 3D modeling of the knee joint from MR images, is a challenging task. Most of the existing techniques require the tedious manual segmentation of a training set of MRIs. We present an approach that necessitates the manual segmentation of one MR image. It is based on a volumetric active appearance model. First, a dense tetrahedral mesh is automatically created on a reference MR image that is arbitrary selected. Second, a pairwise non-rigid registration between each MRI from a training set and the reference MRI is computed. The non-rigid registration is based on a piece-wise affine deformation using the created tetrahedral mesh. The minimum description length is then used to bring all the MR images into a correspondence. An average image and tetrahedral mesh, as well as a set of main modes of variations, are generated using the established correspondence. Any manual segmentation of the average MRI can be mapped to other MR images using the AAM. The proposed approach has the advantage of simultaneously generating 3D reconstructions of the surface as well as a 3D solid model of the knee joint. The generated surfaces and tetrahedral meshes present the interesting property of fulfilling a correspondence between different MR images. This paper shows preliminary results of the proposed approach. It demonstrates the automatic segmentation and 3D reconstruction of a knee joint obtained by mapping a manual segmentation of a reference image.

  3. 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.

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

    Science.gov (United States)

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

    2011-01-01

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

  5. 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…

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

    Science.gov (United States)

    Del Moro, Ronald R.

    2012-01-01

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

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

    Science.gov (United States)

    Kabay, Michele R.

    2013-01-01

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

  8. Providing Competency Training to Clinical Supervisors through an Interactional Supervision Approach

    Science.gov (United States)

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

    2011-01-01

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

  9. 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...

  10. Evaluation of an inter-professional training program for student clinical supervision in Australia

    OpenAIRE

    Gillieatt, Sue; Martin, Robyn; Marchant, Trudi; Fielding, Angela; Duncanson, Kate

    2014-01-01

    Background As a response to an Australian shortage of clinical health, nursing, and medical placements, Commonwealth Government funding has been directed to expand student training opportunities and increase the competence and number of available clinical supervisors. This paper evaluates the application of a particular supervision training model for this purpose. It considers the model’s suitability and relevance across professions and its impact on supervisory knowledge, skills, and values ...

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

    Science.gov (United States)

    Ludwig, Oswaldo; Nunes, Urbano

    2010-06-01

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

  12. Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels

    CERN Document Server

    Donmez, Pinar; Lebanon, Guy

    2010-01-01

    Many popular linear classifiers, such as logistic regression, boosting, or SVM, are trained by optimizing a margin-based risk function. Traditionally, these risk functions are computed based on a labeled dataset. We develop a novel technique for estimating such risks using only unlabeled data and p(y). We prove that the technique is consistent for high-dimensional linear classifiers and demonstrate it on synthetic and real-world data. In particular, we show how the estimate is used for evaluating classifiers in transfer learning, and for training classifiers with no labeled data whatsoever.

  13. 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.

  14. The impact of CBT training and supervision on burnout, confidence and negative beliefs in a staff group working with homeless people

    OpenAIRE

    Maguire, N.; Grellier, B.; Clayton, K.

    2012-01-01

    This study reports the outcomes of providing training and regular clinical supervision in basic cognitive-behavioural formulation and intervention techniques for frontline homelessness workers. Results indicated that confidence increased and negative beliefs decreased at the end of the training, and continued to decrease as a result of the supervision package. Burnout significantly decreased after the training and supervision package.

  15. Development and implementation of full-automatic supervision and control programme for CEFR refueling control system

    International Nuclear Information System (INIS)

    In order to make the process of CEFR refueling more convenient and reliable, the computer supervision and control system was designed according to the CEFR refueling technology. Meanwhile, the supervision and control function and database function were developed on the basis of KingView and SQL Server2000. The fuel of reactor core was fully loaded by the system, and full-automation of CEFR refueling process was implemented. (authors)

  16. A Device for Automatically Measuring and Supervising the Critical Care Patient’S Urine Output

    OpenAIRE

    Roemi Fernández; Francisco Palacios; Teodor Akinfiev; Abraham Otero

    2010-01-01

    Critical care units are equipped with commercial monitoring devices capable of sensing patients’ physiological parameters and supervising the achievement of the established therapeutic goals. This avoids human errors in this task and considerably decreases the workload of the healthcare staff. However, at present there still is a very relevant physiological parameter that is measured and supervised manually by the critical care units’ healthcare staff: urine output. This paper presents a pate...

  17. Self-training-based face recognition using semi-supervised linear discriminant analysis and affinity propagation.

    Science.gov (United States)

    Gan, Haitao; Sang, Nong; Huang, Rui

    2014-01-01

    Face recognition is one of the most important applications of machine learning and computer vision. The traditional supervised learning methods require a large amount of labeled face images to achieve good performance. In practice, however, labeled images are usually scarce while unlabeled ones may be abundant. In this paper, we introduce a semi-supervised face recognition method, in which semi-supervised linear discriminant analysis (SDA) and affinity propagation (AP) are integrated into a self-training framework. In particular, SDA is employed to compute the face subspace using both labeled and unlabeled images, and AP is used to identify the exemplars of different face classes in the subspace. The unlabeled data can then be classified according to the exemplars and the newly labeled data with the highest confidence are added to the labeled data, and the whole procedure iterates until convergence. A series of experiments on four face datasets are carried out to evaluate the performance of our algorithm. Experimental results illustrate that our algorithm outperforms the other unsupervised, semi-supervised, and supervised methods. PMID:24561932

  18. Impact of clinical supervision on field training of nursing students at Urmia University of Medical Sciences

    Science.gov (United States)

    DEHGHANI, MOHAMMADREZA; GHANAVATI, SHIRIN; SOLTANi, BEHROUZ; AGHAKHANI, NADER; HAGHPANAH, SEZANEH

    2016-01-01

    Introduction Obtaining clinical competency in clinical education is one of the problems in nursing and use of the new methods of clinical training is very important. Clinical supervision is one of the methods used as a mechanism to promote knowledge and skill for promoting professional performance in nursing students. This study is carried out to determine the impact of clinical supervision on field training of nursing students at Urmia University of Medical Sciences. Methods In the present experimental study, 32 nursing students were enrolled in the study based on census and randomly assigned into two groups of experimental and control by block randomization. Clinical supervision was used in the experimental group and the control group received routine clinical trainings in the field. The students’ clinical skills were assessed using a researcher-made checklist, the validity of which was confirmed through content validity method by 13 faculty members and its reliability was approved by test-retest method on 20 nursing students in the form of a pilot study and through Cronbach’s alpha (87%). Data were analyzed using SPSS, version 14. Results ‍There was a significant difference between the experimental and control groups in clinical skills such as recognition and administration of medication, team participation,  patients and their relatives’ education, considering the safety,  infection prevention and  nursing process (p<0.005). Conclusion The study demonstrated that in clinical supervision process, students have a better communication and cooperation with their instructor and with each other and their confidence and understanding and the amount of learning in practical skills was enhanced more than routine clinical training. The implementation of this clinical training method for students of nursing and other fields of medical sciences is recommendable. PMID:27104203

  19. 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...

  20. Long-term effects of supervised physical training in secondary prevention of low back pain

    OpenAIRE

    Maul, Irina; LÄUBLI, Thomas; Oliveri, Michael; Krueger, Helmut

    2005-01-01

    Background and objectives: In the last few years, several studies have focused on short-term treatment effects of exercise therapy. However, there is a lack of knowledge concerning the long-term treatment effects recorded after several years. Hence, this study was performed to investigate the short- and long-term effects of supervised physical training on functional ability, self-rated pain and disability in secondary prevention of low back pain. Methods: One hundred and eighty-three hospital...

  1. 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.

  2. 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.

  3. 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. PMID:20844940

  4. 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.

  5. 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....

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

    DEFF Research Database (Denmark)

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

    2015-01-01

    muscle strength 8(4-13)% and endurance 27(12-37)%, both being significant compared with REF. No change in workability, productivity or self-rated health was demonstrated. Secondary analysis showed exercise self-efficacy to be a significant predictor of compliance. Regardless of training schedule and...... supervision, similar degrees of compliance were shown together with reduced musculoskeletal pain and improved muscle performance. These findings provide evidence that a great degree of flexibility is legitimate for companies in planning future implementation of physical exercise programs at the workplace...

  7. 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.

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

    OpenAIRE

    Cameron, Miriam; Ray, Robin; Sabesan, Sabe

    2015-01-01

    Objectives Telemedicine has revolutionised the ability to provide care to patients, relieve professional isolation and provide guidance and supervision to junior medical officers in rural areas. This study evaluated the Townsville teleoncology supervision model for the training of junior medical officers in rural areas of North Queensland, Australia. Specifically, the perspectives of junior and senior medical officers were explored to identify recommendations for future implementation. Design...

  9. Supervised Autonomy

    Science.gov (United States)

    Sexton, Patrick; Levy, Linda S.; Willeford, K. Sean; Barnum, Mary G.; Gardner, Greg; Guyer, M. Susan; Fincher, A. Louise

    2009-01-01

    Objective: The primary objective of this paper is to present the evolution, purpose, and definition of direct supervision in the athletic training clinical education. The secondary objective is to briefly present the factors that may negatively affect the quality of direct supervision to allow remediation and provide higher quality clinical…

  10. 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

    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...... training, a standard quadratic classifier is applied. The performance for each parameter setting is measured by the overall misclassification rate on an independently generated validation set. The classification method is presently used as a routine petrographical analysis method at Norsk Hydro Research...

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

    Directory of Open Access Journals (Sweden)

    Mayara Lustosa de Oliveira

    2012-02-01

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

  12. 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.

  13. 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…

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

    OpenAIRE

    Lívia Chaves de Melo; Adair Vieira Gonçalves; Wagner Rodrigues Silva

    2013-01-01

    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 function...

  15. 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

  16. Automatic Training Site Selection for Agricultural Crop Classification: a Case Study on Karacabey Plain, Turkey

    Science.gov (United States)

    Ozdarici Ok, A.; Akyurek, Z.

    2011-09-01

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

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

    Science.gov (United States)

    Fish, Barbara J.

    2008-01-01

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

  18. Cellular fibronectin response to supervised moderate aerobic training in patients with type 2 diabetes.

    Science.gov (United States)

    Alghadir, Ahmad H; Gabr, Sami A; Al-Eisa, Einas

    2016-04-01

    [Purpose] Physical activity is one of the most pivotal targets for the prevention and management of vascular complications, especially endothelial dysfunctions. Cellular fibronectin is an endothelium-derived protein involved in subendothelial matrix assembly. Its plasma levels reflect matrix alterations and vessel wall destruction in patients with type II diabetes. This study investigated the influence of 12 weeks of supervised aerobic training on cellular fibronectin and its relationship with insulin resistance and body weight in type II diabetic subjects. [Subjects and Methods] This study included 50 men with type II diabetes who had a mean age of 48.8 ± 14.6 years and were randomly divided into two groups: an aerobic exercise group (12 weeks, three 50 minutes sessions per week) and control group. To examine changes in cellular fibronectin, glycosylated hemoglobin, insulin resistance, fasting insulin, fasting blood sugar, and lipid profile, 5 ml of blood was taken from the brachial vein of patients before and 48 hours after completion of the exercise period and after 12 hours of fasting at rest. Data analysis was performed using the SPSS-16 software with the independent and paired t-tests. [Results] A significant decrease was observed in body mass index and body fat percentage in the experimental group. Compared with the control group, the aerobic exercise group showed a significant decrease in cellular fibronectin, glycosylated hemoglobin, insulin resistance, fasting insulin, fasting blood sugar, and lipid profile after 12 weeks of aerobic exercise. The change in cellular fibronectin showed positive significant correlation with body mass index, diabetic biomarkers, and physical activity level. [Conclusion] The results showed that supervised aerobic exercise as a stimulus can change the levels of cellular fibronectin as matrix metalloproteinase protein a long with improvement of insulin sensitivity and glycosylated hemoglobin in order to prevent

  19. 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

  20. 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.

  1. 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.

  2. Do Art Tasks Enhance the Clinical Supervision of Counselors-in-Training?

    OpenAIRE

    Bowman, Denine Rachelle

    2003-01-01

    (ABSTRACT) Creative supervision interventions are suggested to be supportive of mental health supervisees' professional development. Yet, empirical evidence of the utility of such interventions is limited. The purpose of this study was to explore whether a creative intervention, specifically visual art, enhances clinical supervision. Enhancement was operationalized using likert scaled questions to measure: (1) participants' level of enjoyment of the art t...

  3. 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…

  4. 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

  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...

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

    DEFF Research Database (Denmark)

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

    2016-01-01

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

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

    Science.gov (United States)

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

    2016-04-15

    Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the studied tract, and this demands expert prior knowledge. Here we demonstrate how such prior knowledge, or indeed any prior spatial information, can be automatically incorporated into a shortest-path tractography approach to produce more robust results. We describe how such a prior can be automatically generated (learned) from a population, and we demonstrate that our framework also retains support for conventional interactive constraints such as waypoint regions. We apply our approach to the open access, high quality Human Connectome Project data, as well as a dataset acquired on a typical clinical scanner. Our results show that the use of a learned prior substantially increases the overlap of tractography output with a reference atlas on both populations, and this is confirmed by visual inspection. Furthermore, we demonstrate how a prior learned on the high quality dataset significantly increases the overlap with the reference for the more typical yet lower quality data acquired on a clinical scanner. We hope that such automatic incorporation of prior knowledge and the obviation of expert interactive tract delineation on every subject, will improve the feasibility of large clinical tractography studies. PMID:26804779

  8. 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.

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

    Science.gov (United States)

    Roberts, Janine; And Others

    1989-01-01

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

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

    Science.gov (United States)

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

    2016-01-01

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

  11. Description of an educational programme developed to support registered nurses during clinical supervision of student nurses in medical and surgical wards in a training health facility: Namibia

    Directory of Open Access Journals (Sweden)

    Hanna Neshuku

    2015-12-01

    Full Text Available This paper describes an educational programme interventions developed to support registered nurses during the clinical supervision of student nurses in the medical and surgical wards of a training hospital in the Oshana region, Namibia. The programme developed contained the purpose and goals of the programme, programme objectives, programme structure, processes and approaches. The programme catered for the following themes: Managerial challenges, educational challenges and non-conducive environment as was experienced by registered nurses and student nurses in order to support them during clinical supervision. It includes the activities to address managerial challenges as identified to be affecting the clinical supervision of student nurses; this is to address educational challenges identified during clinical supervision of student nurses. Furthermore, the programme contains activities focused on providing registered nurses with knowledge and skills on clinical supervision, in order to increase their understanding and competence about the clinical supervision of student nurses. Another activity included interventions for enhancing positive interpersonal relationships and good communication skills to improve effective interactions between registered nurses and student nurses. This study made it possible for the development of an educational programme that enable the registered nurses to receive the much needed information pertaining to the clinical supervision of student nurses, and served as a guide and support tool when carrying out clinical supervision of student nurses. In conclusion the study was justified as an original contribution to the existing body of knowledge in general health nursing science.

  12. Integration of mapped RNA-Seq reads into automatic training of eukaryotic gene finding algorithm.

    Science.gov (United States)

    Lomsadze, Alexandre; Burns, Paul D; Borodovsky, Mark

    2014-09-01

    We present a new approach to automatic training of a eukaryotic ab initio gene finding algorithm. With the advent of Next-Generation Sequencing, automatic training has become paramount, allowing genome annotation pipelines to keep pace with the speed of genome sequencing. Earlier we developed GeneMark-ES, currently the only gene finding algorithm for eukaryotic genomes that performs automatic training in unsupervised ab initio mode. The new algorithm, GeneMark-ET augments GeneMark-ES with a novel method that integrates RNA-Seq read alignments into the self-training procedure. Use of 'assembled' RNA-Seq transcripts is far from trivial; significant error rate of assembly was revealed in recent assessments. We demonstrated in computational experiments that the proposed method of incorporation of 'unassembled' RNA-Seq reads improves the accuracy of gene prediction; particularly, for the 1.3 GB genome of Aedes aegypti the mean value of prediction Sensitivity and Specificity at the gene level increased over GeneMark-ES by 24.5%. In the current surge of genomic data when the need for accurate sequence annotation is higher than ever, GeneMark-ET will be a valuable addition to the narrow arsenal of automatic gene prediction tools. PMID:24990371

  13. Using aerial video to train the supervised classification of Landsat TM imagery for coral reef habitats mapping.

    Science.gov (United States)

    Bello-Pineda, J; Liceaga-Correa, M A; Hernández-Núñez, H; Ponce-Hernández, R

    2005-06-01

    Management of coral reef resources is a challenging task, in many cases, because of the scarcity or inexistence of accurate sources of information and maps. Remote sensing is a not intrusive, but powerful tool, which has been successfully used for the assessment and mapping of natural resources in coral reef areas. In this study we utilized GIS to combine Landsat TM imagery, aerial photography, aerial video and a digital bathymetric model, to assess and to map submerged habitats for Alacranes reef, Yucatán, México. Our main goal was testing the potential of aerial video as the source of data to produce training areas for the supervised classification of Landsat TM imagery. Submerged habitats were ecologically characterized by using a hierarchical classification of field data. Habitats were identified on an overlaid image, consisting of the three types of remote sensing products and the bathymetric model. Pixels representing those habitats were selected as training areas by using GIS tools. Training areas were used to classify the Landsat TM bands 1, 2 and 3 and the bathymetric model by using a maximum likelihood algorithm. The resulting thematic map was compared against field data classification to improve habitats definition. Contextual editing and reclassification were used to obtain the final thematic map with an overall accuracy of 77%. Analysis of aerial video by a specialist in coral reef ecology was found to be a suitable source of information to produce training areas for the supervised classification of Landsat TM imagery in coral reefs at a coarse scale. PMID:15952517

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

    Science.gov (United States)

    Ju, Zhe; Gu, Hong

    2016-08-15

    As one important post-translational modification of prokaryotic proteins, pupylation plays a key role in regulating various biological processes. The accurate identification of pupylation sites is crucial for understanding the underlying mechanisms of pupylation. Although several computational methods have been developed for the identification of pupylation sites, the prediction accuracy of them is still unsatisfactory. Here, a novel bioinformatics tool named IMP-PUP is proposed to improve the prediction of pupylation sites. IMP-PUP is constructed on the composition of k-spaced amino acid pairs and trained with a modified semi-supervised self-training support vector machine (SVM) algorithm. The proposed algorithm iteratively trains a series of support vector machine classifiers on both annotated and non-annotated pupylated proteins. Computational results show that IMP-PUP achieves the area under receiver operating characteristic curves of 0.91, 0.73, and 0.75 on our training set, Tung's testing set, and our testing set, respectively, which are better than those of the different error costs SVM algorithm and the original self-training SVM algorithm. Independent tests also show that IMP-PUP significantly outperforms three other existing pupylation site predictors: GPS-PUP, iPUP, and pbPUP. Therefore, IMP-PUP can be a useful tool for accurate prediction of pupylation sites. A MATLAB software package for IMP-PUP is available at https://juzhe1120.github.io/. PMID:27197054

  15. 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.

  16. 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

  17. 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. PMID:27035487

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

    DEFF Research Database (Denmark)

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

    2014-01-01

    the need for efficient training. When training with the robot, the communication between the trainer and the trainee is limited, since the trainee often cannot see the trainer. To overcome this issue, this paper proposes an Augmented Reality (AR) system where the trainer is controlling two virtual robotic...

  19. 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…

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

    International Nuclear Information System (INIS)

    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

  1. Comprehensive technology-assisted training and supervision program to enhance depression management in primary care in Santiago, Chile: study protocol for a cluster randomized controlled trial

    OpenAIRE

    Rojas, Graciela; Martínez, Pablo; Vöhringer, Paul A.; Martínez, Vania; Castro-Lara, Ariel; Fritsch, Rosemarie

    2015-01-01

    Background Depression is a common and disabling condition. Since 2001, Chile has had a national program for depression in primary care and universal access to treatment for depressed people over the age of 15. There are National Guidelines to treat depression but no training program exists. The aim of the present study protocol is to measure the effectiveness of a comprehensive technology-assisted training and supervision program to enhance depression management in primary care. Methods and d...

  2. Supervision in Libraries.

    Science.gov (United States)

    Bailey, Martha J.

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

  3. 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.

  4. Transfer learning improves supervised image segmentation across imaging protocols

    DEFF Research Database (Denmark)

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

    2015-01-01

    The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervised-learning techniques which, in order to perform...... well, often require a large amount of labeled training data that is exactly representative of the target data. We therefore propose to use transfer learning for image segmentation. Transfer-learning techniques can cope with differences in distributions between training and target data, and therefore...... may improve performance over supervised learning for segmentation across scanners and scan protocols. We present four transfer classifiers that can train a classification scheme with only a small amount of representative training data, in addition to a larger amount of other training data with...

  5. Enhancing Discipline-Specific Training across Allied Health Professions through Reflective Supervision

    Science.gov (United States)

    Geller, Elaine; Wightman, Barbara; Rosenthal, Harold

    2010-01-01

    The professional preparation of allied health professionals typically focuses on the acquisition of knowledge in a particular area of expertise with less consideration of training on social-emotional development and on how to engage parents in the clinical process, parent-child relationships, or principles of mental health. The authors explore how…

  6. 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

    presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy...

  7. 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......-day training units in robot- assisted minimally invasive surgery on anaesthetised pigs....

  8. Integrating Supervision, Evaluation, and Training: Graduate Student Internships in Teaching Composition.

    Science.gov (United States)

    Hayes, Darwin L.

    A graduate student internship program in teaching composition at Brigham Young University (Utah) is described. Interns are trained for five advanced English courses: critical and interpretive writing, critical writing for elementary education majors, writing about literature, factual and scientific writing, and technical writing. The first interns…

  9. 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...

  10. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2011-01-01

    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...... (pathology), satisfaction or distress at work, etc. Discussion: Implications of the findings for the development of therapists and the training of supervisors will be discussed....

  11. 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.

  12. "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.

  13. Uncertain Training Data Edition for Automatic Object-Based Change Map Extraction

    Science.gov (United States)

    Hajahmadi, S.; Mokhtarzadeh, M.; Mohammadzadeh, A.; Valadanzouj, M. J.

    2013-09-01

    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.

  14. 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…

  15. Supervision Strategies for the First Practicum.

    Science.gov (United States)

    Engels, Dennis W., Ed.; Dameron, Joseph D., Ed.

    Numerous researchers have recognized that supervision is critical in the preparation of counselors and psychotherapists. This supervision manual, which is organized around a coherent theory of training, is intended to help practitioners as they learn to supervise counselors and therapists. The manual is designed primarily for supervision of…

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

    DEFF Research Database (Denmark)

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

    2016-01-01

    BACKGROUND: Hospitalization in older adults is characterized by physical inactivity and a risk of losing function and independence. Systematic strength training can improve muscle strength and functional performance in older adults. Few studies have examined the effect of a program initiated during...... hospitalization and continued after discharge. We conducted a feasibility study prior to this trial and found a progression model for loaded sit-to-stands feasible in older medical patients. This study aims to determine whether a simple supervised strength training program for the lower extremities (based on the...

  17. WIRELESS SENSOR NETWORK (WSN) BASED AUTOMATIC FIRING PRACTICE SYSTEM (AFPS) FOR TRAINING OF LAW ENFORCEMENT AGENCIES (LEAS)

    OpenAIRE

    Imran Jattala; Junaid Farooqi; Shakeel Durrani; Nassar Ikram; Irfan Hussian; Muazzam A. Goraya; Obaid B. Zakria

    2014-01-01

    The critical importance of an efficient infantryman in special operations force, tactical paramilitary and Law Enforcement Agencies (LEAs) is insurmountable. One of the many vital aspects of an effective solider is excellent marksmanship which requires extensive training at sophisticated firing ranges. Modern firing ranges are supported by Automatic Firing Practice Systems (AFPS) and this paper presents the design and development of such a system based on WSN. AFPS provide an automatic bullet...

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

  19. Nuclear supervision

    International Nuclear Information System (INIS)

    State supervision of economic activities - economic supervision - takes place in the most varied fields. The study initially pursues the question of whether nuclear supervision has a special position, i.e. whether there are significant legal or factual differences to other fields of industrial administrative law. To this end, common features of economic supervision with regard to subject, function and instruments are developed. Subsequently nuclear supervision, in its function as a part of economic supervision, is examined with regard to similarities and peculiarities. The interactions between planning permission and operational supervision under nuclear law are illustrated, and thus the position of Art. 19 of the German Nuclear Energy Act defined within the broader framework of nuclear control. The second part of the work is concerned with individual questions relating to Art. 19 of the above Act. (orig./HSCH)

  20. WIRELESS SENSOR NETWORK (WSN BASED AUTOMATIC FIRING PRACTICE SYSTEM (AFPS FOR TRAINING OF LAW ENFORCEMENT AGENCIES (LEAS

    Directory of Open Access Journals (Sweden)

    Imran Jattala

    2014-12-01

    Full Text Available The critical importance of an efficient infantryman in special operations force, tactical paramilitary and Law Enforcement Agencies (LEAs is insurmountable. One of the many vital aspects of an effective solider is excellent marksmanship which requires extensive training at sophisticated firing ranges. Modern firing ranges are supported by Automatic Firing Practice Systems (AFPS and this paper presents the design and development of such a system based on WSN. AFPS provide an automatic bullet-impact count during firing training session and is modular scalable in design for multiple of eight concurrent shooters. The system is versatile and flexible allowing for different small-arms and firing training modes and supports night firing exercise. AFPS comprises of two major components, the automatic target-box and a commander console. Automatic target-box has a motor & gear assembly, target sheet, bullet-impact sensor, control board, and WiFi communication module. Commander console is a ruggedized sunlight readable 10.4” Tablet PC, which with a built-in WiFi acts an access point. The automatic target-boxes equipped with embedded WiFi modules form sensor nodes of a WSN. The paper presents the complete System Development Life Cycle (SDLC of the firing practice system and associated WSN. The AFPS and bullet-impact sensor was extensively tested on Firing Ranges for accuracy of bullet-impact count. The results showed a bullet-impact count accuracy of over 97 percent.

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

    DEFF Research Database (Denmark)

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

    2016-01-01

    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...... Activities of Daily Living. DISCUSSION: We chose to investigate the effect of a minimal time-consuming treatment approach, i.e. two well-performed strength training exercises combined with protein supplementation, to facilitate implementation in a busy clinical care setting, given a positive trial outcome...... hospitalization and continued after discharge. We conducted a feasibility study prior to this trial and found a progression model for loaded sit-to-stands feasible in older medical patients. This study aims to determine whether a simple supervised strength training program for the lower extremities (based on the...

  2. Online-Supervision - Potentiale und Restriktionen

    Directory of Open Access Journals (Sweden)

    Katja Höllriegel

    2013-04-01

    Full Text Available Offers of online counseling lead to an increased demand for (media-specific online supervision. High expectations exist regarding blended supervision concepts, whose aim is to use their respective advantages and open up new perspectives and opportunities for supervision through the careful combination of online and offline settings. However, such offers impose numerous requirements on supervisors and supervised. The offered range of supervision is substantially extended by online supervision. Thus, experiences gained in practice need to be verified by comprehensive scientific studies and are then to be translated into concepts and quality standards. This indicates that the inclusion of online supervision in the training of supervisors should be considered.

  3. Supervision af psykoterapi via Skype

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Grünbaum, Liselotte

    2011-01-01

    clinical experience of Skype™ in supervision, mainly of psychoanalytic child psychotherapy, is presented and reflected upon. Finally, the reluctance of the Danish Board for Psychologists’s to recognize audiovisual distance supervision as part of the required training demands is discussed. It is concluded...

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

    Directory of Open Access Journals (Sweden)

    Alghadir AH

    2016-02-01

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

  5. 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...

  6. 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…

  7. 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...... is used to feed this classification approach with automatically selected training samples based on available vector data (agricultural parcels representing crop boundaries with crop codes). The vector data are created by farmers to support subsidy claims and are, therefore, prone to errors such as...... boundary digitization mismatch and mislabeling of crop codes. The proposed approach, ensemble-based cluster refinement approach (ECRA), refines the declared crop clusters in an iterative training-classification scheme and provides potential training samples that give correct class descriptions. ECRA...

  8. Development of software for MALTE, a system for automated testing of line current supervision andinterference monitoring devices

    OpenAIRE

    Zeltner Wolff, Johannes

    2015-01-01

    The aim of the project is to develop software to automatically test line current supervision and interference monitoring devices for Bombardier trains. The software, called MALTE, it to replace the manual testing done by an engineer, thereby freeing up the tester to do other tasks, and increasing the test rigorousness. The test software, written in LabView, was developed in tandem with a hardware rack, with interfaces to the train hardware enabling communication between the two, to set test c...

  9. Implementation and evaluation of an educational programme to support registered nurses during clinical supervision of student nurses in medical and surgical wards in a training health facility, Namibia

    Directory of Open Access Journals (Sweden)

    Hanna Neshuku

    2015-12-01

    Full Text Available The purpose of this paper is to provide an account of the implementation and evaluation of the educational programme was to support registered nurses in the Oshana region, Namibia educationally, in order to enable them to provide effective clinical supervision of student nurses The researcher selected to conduct a workshop because during a workshop it is possible to have two-way communication that encouraged the exchange of ideas and facts with the aim of sharing valued information among one another. The duration of the workshop was two days. The workshop was attended by registered nurses (registered nurses from a training institution and training health facilities from the Oshana Region. Participants were selected using a criterion sampling method (registered nurses who were supervising second and third year nursing students during clinical practice; those registered nurses were from medical and surgical wards at training heath facilities in the Oshana Region and had been working there for a year or more. There were no limitations on the number / sample size; the researcher allowed all participants who turned up to attend the workshop resulted in seventeen participants attended the workshop. The programme was implemented in three phases which in turn was divided into sessions. The orientation phase provided an introduction to the workshop where aspects related to the purpose, goals, and objectives of the workshop and logistical arrangements of the implementation of the programme were discussed. The working phase consisted of three sessions which is corresponding to the programme objectives. The implementation of each session was based on the specific objective activities of that session and it was expected to produce an outcome that would help the registered nurses during the execution of their clinical supervisory duties of nursing students During the termination phase two qualitative evaluations were done firstly, the evaluation of the

  10. 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。

  11. Automatic Bayesian classification of healthy controls, bipolar disorder and schizophrenia using intrinsic connectivity maps from fMRI data

    OpenAIRE

    Arribas, Juan I.; Calhoun, Vince D.; Adalı, Tülay

    2010-01-01

    We present a method for supervised, automatic and reliable classification of healthy controls, patients with bipolar disorder and patients with schizophrenia using brain imaging data. The method uses four supervised classification learning machines trained with a stochastic gradient learning rule based on the minimization of Kullback-Leibler divergence and an optimal model complexity search through posterior probability estimation. Prior to classification, given the high dimensionality of fun...

  12. 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 club setting that 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. PMID:24276303

  13. The efficacy of early initiated, supervised, progressive resistance training compared to unsupervised, home-based exercise after unicompartmental knee arthroplasty

    DEFF Research Database (Denmark)

    Jørgensen, Peter Bo; Bogh, Søren B; Kierkegaard, Signe;

    2016-01-01

    and osteoarthritis outcome score (KOOS). RESULTS: Forty patients (73%) completed 1-year follow-up. Patients in the progressive resistance training group participated in average 11 of 16 training sessions. Leg extension power increased from baseline to 10-week follow-up in progressive resistance.......29). CONCLUSIONS: Progressive resistance training two days/week combined with home based exercise five days/week was not superior to home based exercise seven days/week in improving leg extension power of the operated leg....... exercise five days/week and progressive resistance training two days/week) or control group (home based exercise seven days/week). MAIN MEASURES: Preoperative assessment, 10-week (primary endpoint) and one-year follow-up were performed for leg extension power, spatiotemporal gait parameters and knee injury...

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

    OpenAIRE

    Swedberg, Lena; Hammar Chiriac, Eva; Törnkvist, Lena; Hylander, Ingrid

    2013-01-01

    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 ...

  15. 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...

  16. Automatic subject classification of textual documents using limited or no training data

    OpenAIRE

    Joorabchi, Arash

    2010-01-01

    With the explosive growth in the number of electronic documents available on the internet, intranets, and digital libraries, there is a growing need for automatic systems capable of indexing and organising such large volumes of data more that ever. Automatic Text Classification (ATC) has become one of the principal means for enhancing the performance of information retrieval systems and organising digital libraries and other textual collections. Within this context, the use of ...

  17. 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.

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

    DEFF Research Database (Denmark)

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

    2009-01-01

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

  19. 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…

  20. A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images

    Science.gov (United States)

    Zhang, Lei; Ye, Xujiong; Lambrou, Tryphon; Duan, Wenting; Allinson, Nigel; Dudley, Nicholas J.

    2016-02-01

    This paper presents a supervised texton based approach for the accurate segmentation and measurement of ultrasound fetal head (BPD, OFD, HC) and femur (FL). The method consists of several steps. First, a non-linear diffusion technique is utilized to reduce the speckle noise. Then, based on the assumption that cross sectional intensity profiles of skull and femur can be approximated by Gaussian-like curves, a multi-scale and multi-orientation filter bank is designed to extract texton features specific to ultrasound fetal anatomic structure. The extracted texton cues, together with multi-scale local brightness, are then built into a unified framework for boundary detection of ultrasound fetal head and femur. Finally, for fetal head, a direct least square ellipse fitting method is used to construct a closed head contour, whilst, for fetal femur a closed contour is produced by connecting the detected femur boundaries. The presented method is demonstrated to be promising for clinical applications. Overall the evaluation results of fetal head segmentation and measurement from our method are comparable with the inter-observer difference of experts, with the best average precision of 96.85%, the maximum symmetric contour distance (MSD) of 1.46 mm, average symmetric contour distance (ASD) of 0.53 mm while for fetal femur, the overall performance of our method is better than the inter-observer difference of experts, with the average precision of 84.37%, MSD of 2.72 mm and ASD of 0.31 mm.

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

    NARCIS (Netherlands)

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

    2012-01-01

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

  2. 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

  3. AUTOMATIC TRAINING DATA SYNTHESIS FOR HANDWRITING RECOGNITION USING THE STRUCTURAL CROSSING-OVER TECHNIQUE

    Directory of Open Access Journals (Sweden)

    Sirisak Visessenee

    2014-07-01

    Full Text Available The paper presents a novel technique called “Struct ural Crossing-Over” to synthesize qualified data fo r training machine learning-based handwriting recogni tion. The proposed technique can provide a greater variety of patterns of training data than the exist ing approaches such as elastic distortion and tange nt- based affine transformation. A couple of training c haracters are chosen, then they are analyzed by the ir similar and different structures, and finally are c rossed over to generate the new characters. The experiments are set to compare the performances of tangent-based affine transformation and the propose d approach in terms of the variety of generated chara cters and percent of recognition errors. The stand ard MNIST corpus including 60,000 training characters a nd 10,000 test characters is employed in the experiments. The proposed technique uses 1,000 char acters to synthesize 60,000 characters, and then us es these data to train and test the benchmark handwrit ing recognition system that exploits Histogram of Gradient: HOG as features and Support Vector Machin e: SVM as recognizer. The experimental result yields 8.06% of errors. It significantly outperform s the tangent-based affine transformation and the original MNIST training data, which are 11.74% and 16.55%, respectively.

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

    Suzuki, Kenji

    2009-09-01

    Computer-aided diagnosis (CAD) has been an active area of study in medical image analysis. A filter for the enhancement of lesions plays an important role for improving the sensitivity and specificity in CAD schemes. The filter enhances objects similar to a model employed in the filter; e.g. a blob-enhancement filter based on the Hessian matrix enhances sphere-like objects. Actual lesions, however, often differ from a simple model; e.g. a lung nodule is generally modeled as a solid sphere, but there are nodules of various shapes and with internal inhomogeneities such as a nodule with spiculations and ground-glass opacity. Thus, conventional filters often fail to enhance actual lesions. Our purpose in this study was to develop a supervised filter for the enhancement of actual lesions (as opposed to a lesion model) by use of a massive-training artificial neural network (MTANN) in a CAD scheme for detection of lung nodules in CT. The MTANN filter was trained with actual nodules in CT images to enhance actual patterns of nodules. By use of the MTANN filter, the sensitivity and specificity of our CAD scheme were improved substantially. With a database of 69 lung cancers, nodule candidate detection by the MTANN filter achieved a 97% sensitivity with 6.7 false positives (FPs) per section, whereas nodule candidate detection by a difference-image technique achieved a 96% sensitivity with 19.3 FPs per section. Classification-MTANNs were applied for further reduction of the FPs. The classification-MTANNs removed 60% of the FPs with a loss of one true positive; thus, it achieved a 96% sensitivity with 2.7 FPs per section. Overall, with our CAD scheme based on the MTANN filter and classification-MTANNs, an 84% sensitivity with 0.5 FPs per section was achieved. First presented at the Seventh International Conference on Machine Learning and Applications, San Diego, CA, USA, 11-13 December 2008.

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

    Energy Technology Data Exchange (ETDEWEB)

    Suzuki, Kenji [Department of Radiology, Committee on Medical Physics, University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637 (United States)], E-mail: suzuki@uchicago.edu

    2009-09-21

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

  7. Experience with Group Supervision

    OpenAIRE

    Chen, Weiqin

    2006-01-01

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

  8. School Counseling and Solution-Focused Site Supervision: A Theoretical Application and Case Example

    Science.gov (United States)

    Cigrand, Dawnette L.; Wood, Susannah M.

    2011-01-01

    The solution-focused counseling theory provides a useful framework that can be applied to supervision of counselors-in-training. Solution-focused supervision is especially useful for school counseling site supervisors who may not have much time for supervision, who may not have had much training in clinical supervision, or who may have had…

  9. 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…

  10. Wellness Model of Supervision: A Comparative Analysis

    Science.gov (United States)

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

    2012-01-01

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

  11. Supervised Material Classification in Oblique Aerial Imagery Using Gabor Filter Features

    Science.gov (United States)

    Harris, Michael L.

    RIT's Digital Imaging and Remote Sensing Image Generation (DIRSIG) tool allows modeling of real world scenes to create synthetic imagery for sensor design and analysis, trade studies, algorithm validation, and training image analysts. To increase model construction speed, and the diversity and size of synthetic scenes which can be generated it is desirable to automatically segment real world imagery into different material types and import a material classmap into DIRSIG. This work contributes a methodology based on standard texture recognition techniques to supervised classification of material types in oblique aerial imagery. Oblique imagery provides many challenges for texture recognition due to illumination changes with view angle, projective distortions, occlusions and self shadowing. It is shown that features derived from a set of rotationally invariant bandpass filters fused with color channel information can provide supervised classification accuracies up to 70% with minimal training data.

  12. Combining unsupervised and supervised methods for PP attachment disambiguation

    OpenAIRE

    Volk, M.

    2002-01-01

    Statistical methods for PP attachment fall into two classes according to the training material used: first, unsupervised methods trained on raw text corpora and second, supervised methods trained on manually disambiguated examples. Usually supervised methods win over unsupervised methods with regard to attachment accuracy. But what if only small sets of manu- ally disambiguated material are available? We show that in this case it is advantageous to intertwine unsupervised and supervised m...

  13. Group Supervision: Still Widely Practiced but Poorly Understood.

    Science.gov (United States)

    Prieto, Loreto R.

    1996-01-01

    Updates Holloway and Johnson's (1985) review concerning the group supervision of trainees learning individual psychotherapy. Suggestions for future research and implications for training are discussed. (Author)

  14. 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.

    2012-07-01

    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.

  15. 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.

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

    Science.gov (United States)

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

    2016-01-01

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

  17. 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. PMID:20582855

  18. Security system signal supervision

    Energy Technology Data Exchange (ETDEWEB)

    Chritton, M.R. (BE, Inc., Barnwell, SC (United States)); Matter, J.C. (Sandia National Labs., Albuquerque, NM (United States))

    1991-09-01

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

  19. Security system signal supervision

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2016-08-01

    Some complex data types are capable of modeling data variability and imprecision. These data types are studied in the symbolic data analysis field. One such data type is interval data, which represents ranges of values and is more versatile than classic point data for many domains. This paper proposes a new prototype-based classifier for interval data, trained by a swarm optimization method. Our work has two main contributions: a swarm method which is capable of performing both automatic selection of features and pruning of unused prototypes and a generalized weighted squared Euclidean distance for interval data. By discarding unnecessary features and prototypes, the proposed algorithm deals with typical limitations of prototype-based methods, such as the problem of prototype initialization. The proposed distance is useful for learning classes in interval datasets with different shapes, sizes and structures. When compared to other prototype-based methods, the proposed method achieves lower error rates in both synthetic and real interval datasets. PMID:27152933

  1. 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

  2. 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

    Directory of Open Access Journals (Sweden)

    Daly Leslie

    2009-07-01

    Full Text Available Abstract 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

  3. 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...

  4. Core competencies in social constructionist supervision?

    Science.gov (United States)

    Sutherland, Olga; Fine, Marshall; Ashbourne, Lynda

    2013-07-01

    Family therapy is moving increasingly toward evidence-based practice and competency-based training. This article explores what might seem to be an unlikely link between social constructionist supervision, which is based on dialogic and fluid processes of meaning-making, and the increasing reliance on discrete core competencies in the education and training of family therapists. We propose an alternate approach to competencies for supervision with therapists in training that, among other things, invites accountability and provides evaluative props. The approach we propose is based on a set of orientations that we hope reflect the dialogic and contextual nature of social constructionist practice and supervision. These orientations consist of reflexivity and attention to power, fostering polyphony and generativity, collaborative stance, and focus on client resourcefulness. Ideas and questions for supervisors and therapists in training to address the orientations are articulated. PMID:25059303

  5. 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...... mean. Spatial closeness is obtained by requesting connectivity. Second, class consistency is controlled by forcing each class into 5–10 subclasses and checking the separability of these subclasses by means of canonical discriminant analysis. Third, class separability is checked by means of the Jeffreys...

  6. Researching online supervision

    DEFF Research Database (Denmark)

    Bengtsen, Søren S. E.; Mathiasen, Helle

    2014-01-01

    Online supervision and the use of digital media in supervisory dialogues is a fast increasing practice in higher education today. However, the concepts in our pedagogical repertoire often reflect the digital tools used for supervision purposes as either a prolongation of the face-to-face contact......’ methodology that makes room for new approaches to researching online supervision at the university....

  7. 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…

  8. Legislation and supervision

    International Nuclear Information System (INIS)

    In this part next aspects are described: (1) Legislative and supervision-related framework (reviews of structure of supervisory bodies; legislation; state supervision in the nuclear safety area, and state supervision in the area of health protection against radiation are given); (2) Operator's responsibility

  9. Structured Peer Group Supervision for Novice Consultants: Procedures, Pitfalls, and Potential

    Science.gov (United States)

    Newman, Daniel S.; Nebbergall, Allison J.; Salmon, Diane

    2013-01-01

    Supervision is considered a keystone instructional tool in school psychology and has been argued to be an essential feature of effective consultation training. However, descriptive data suggest that supervision is not always incorporated as part of consultation training. In this article the application of a structured peer group supervision (SPGS)…

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

    DEFF Research Database (Denmark)

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

    2006-01-01

    connected to the automatic milking system. The cows were trained indoors using an operant conditioning technique. All cows had 12 training sessions with 7–12 signals given at variable intervals. An evaluation period followed the training period. During evaluation, the trained cows received an individual...... signal than after a control period with no signal (P < 0.05). There was a greater probability for the cows to respond to the signal if they were indoors (P < 0.05). The average milking interval for cows trained and evaluated in early season was 8.2 ± 0.44 h (±S.E.M.). The interval for a reference group...... (with no signal) in early season was 9.7 ± 0.18 h (P < 0.05). The intervals were 8.7 ± 0.56 h and 9.0 ± 0.20 h for the five cows trained in late season and a reference group (with no signal), respectively. During the evaluation in a full herd situation, the response ranged between 15 and 75% for...

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

    International Nuclear Information System (INIS)

    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.

  12. Automatic classification of seismic events within a regional seismograph network

    Science.gov (United States)

    Tiira, Timo; Kortström, Jari; Uski, Marja

    2015-04-01

    A fully automatic method for seismic event classification within a sparse regional seismograph network is presented. The tool is based on a supervised pattern recognition technique, Support Vector Machine (SVM), trained here to distinguish weak local earthquakes from a bulk of human-made or spurious seismic events. The classification rules rely on differences in signal energy distribution between natural and artificial seismic sources. Seismic records are divided into four windows, P, P coda, S, and S coda. For each signal window STA is computed in 20 narrow frequency bands between 1 and 41 Hz. The 80 discrimination parameters are used as a training data for the SVM. The SVM models are calculated for 19 on-line seismic stations in Finland. The event data are compiled mainly from fully automatic event solutions that are manually classified after automatic location process. The station-specific SVM training events include 11-302 positive (earthquake) and 227-1048 negative (non-earthquake) examples. The best voting rules for combining results from different stations are determined during an independent testing period. Finally, the network processing rules are applied to an independent evaluation period comprising 4681 fully automatic event determinations, of which 98 % have been manually identified as explosions or noise and 2 % as earthquakes. The SVM method correctly identifies 94 % of the non-earthquakes and all the earthquakes. The results imply that the SVM tool can identify and filter out blasts and spurious events from fully automatic event solutions with a high level of confidence. The tool helps to reduce work-load in manual seismic analysis by leaving only ~5 % of the automatic event determinations, i.e. the probable earthquakes for more detailed seismological analysis. The approach presented is easy to adjust to requirements of a denser or wider high-frequency network, once enough training examples for building a station-specific data set are available.

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

    Directory of Open Access Journals (Sweden)

    Lisiane Alvim Saraiva

    2007-12-01

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

  14. Evidence of the effectiveness of supervision in health institutions

    Directory of Open Access Journals (Sweden)

    Ivan Ambrosiano

    2014-09-01

    Full Text Available In this article an experience of a group supervision with care workers of a rest house is presented. The concepts of on-the-job training and supervision are discussed. Moreover, the phases of the intervention are described underlying their technical aspects and the goals to be reached. Finally, it is presented and discussed the evidence of the effectiveness of the intervention, measured with both quantitative and qualitative methods.Keywords: Supervision, Socio-medical institutions, Effectiveness

  15. 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

  16. The supervisions in the field develop nuclear professionals

    International Nuclear Information System (INIS)

    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)

  17. 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.

  18. Machine Tool Technology. Automatic Screw Machine Troubleshooting & Set-Up Training Outlines [and] Basic Operator's Skills Set List.

    Science.gov (United States)

    Anoka-Hennepin Technical Coll., Minneapolis, MN.

    This set of two training outlines and one basic skills set list are designed for a machine tool technology program developed during a project to retrain defense industry workers at risk of job loss or dislocation because of conversion of the defense industry. The first troubleshooting training outline lists the categories of problems that develop…

  19. Partially supervised speaker clustering.

    Science.gov (United States)

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

    2012-05-01

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

  20. The Clinical Supervision Process.

    Science.gov (United States)

    Ramsey, MaryLou

    This document defines clinical supervision as an intensive, interpersonally-focused, one-to-one relationship in which one person is designated to facilitate the development of therapeutic competence in the other person. Ways in which supervision is similar to, and different from, therapy are explained. The following stages in the clinical…

  1. 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...

  2. 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…

  3. Experiments in Virtual Supervision.

    Science.gov (United States)

    Walker, Rob

    This paper examines the use of First Class conferencing software to create a virtual culture among research students and as a vehicle for supervision and advising. Topics discussed include: computer-mediated communication and research; entry to cyberculture, i.e., research students' induction into the research community; supervision and the…

  4. Social networks in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    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...... in a network Consequently, by conceptualizing supervision using conceptual and analytical resources provided by ANT we can begin to understand supervision as an example of social life/as ordered network. Supervision may be considered a complex relational field of actor-networks where participants...... 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...

  5. 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.

  6. Clinical supervision reflected in a Danish DPCCQ sample

    DEFF Research Database (Denmark)

    Nielsen, Jan; Jacobsen, Claus Haugaard

    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...... (pathology), satisfaction or distress at work, etc. Discussion: Implications of the findings for the development of therapists and the training of supervisors will be discussed....

  7. Ethics in Supervision

    OpenAIRE

    Research Assistant Elena ALEXA

    2011-01-01

    We aim to achieve a short analysis of the ethics in supervision of social work, because this may influence the decisions took in case work. Both supervisees and supervisors make decisions to work with one another in a variety of ways, and to handle the cases. So we bring to the reader’s attention the supervision standards, the supervision contract where we are interested to see what is specify about ethics. Also we would like to see how the ethical decisions took can influence the life of the...

  8. 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.

  9. Review on Methods of Train Running Automatic Adjustment in Transit%城市轨道交通列车运行自动调整研究方法综述

    Institute of Scientific and Technical Information of China (English)

    徐冬

    2015-01-01

    基于城市轨道交通列车运行自动调整的概念和必要性,介绍实现列车运行自动调整的基本思路:时刻表调整和行车间隔调整。并结合国内外学者的研究成果,对目前存在的列车运行自动调整研究方法进行分析,为列车运行自动调整问题的建模和算法实现提供参考。%Based on the concept and necessity of train operation automatic adjustment in urban rail transit, the paper introduces the basic idea for the realization of train operation automatic adjustment, time schedule adjustment and train running interval adjustment. By taking into consideration of the study done by some scholars at home and abroad, the paper makes analysis on the research methods for existing automatic train operation adjustment, and provides references for the modeling and algorithm of train operation automatic adjustment.

  10. 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...

  11. 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....

  12. 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...... previously associated with reflection and an exploration of alternative conceptions that view reflection within the context of settings which have a more group- and team-based orientation. Drawing on an action research project on health care supervision, the paper questions whether we should reject earlier...... views of reflection, rehabilitate them in order to capture broader connotations or move to new ways of regarding reflection that are more in keeping with not only reflective but also emotive, normative and formative views on supervision. The paper presents a critical perspective on supervision that...

  13. Collective academic supervision

    DEFF Research Database (Denmark)

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

    2013-01-01

    Supervision of students is a core activity in higher education. Previous research on student supervision in higher education focus on individual and relational aspects in the supervisory relationship rather than collective, pedagogical and methodical aspects of the planning of the supervision...... process. This article fills these gaps by discussing potentials and challenges in “Collective Academic Supervision”, a model for supervision at the Master of Education in Guidance at Aarhus University in Denmark. The pedagogical rationale behind the model is that students’ participation and learning are...... to peers. In sum CAS provides a practice in which a group of students and their supervisor learn by working together. Potentials for future research is to investigate the ways in which participants – both students and teachers - can be prepared for different modes of participation and, finally, how...

  14. Supervision of Practice and Professional Development

    OpenAIRE

    Kate Sapin

    1999-01-01

    a Community Work Unit conference discussing supervision of community and youth work including papers on external supervision, supervision in a local authority, a black perspective on supervision, Deaf friendly supervision.

  15. 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。

  16. 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....

  17. More Practice, Less Preach? The role of supervision processes and therapist characteristics in EBP implementation

    OpenAIRE

    Bearman, Sarah Kate; Weisz, John R.; Chorpita, Bruce F.; Hoagwood, Kimberly; Ward, Alyssa; Ugueto, Ana M.; Bernstein, Adam

    2013-01-01

    Identifying predictors of evidence-based practice (EBP) use, such as supervision processes and therapist characteristics, may support dissemination. Therapists (N = 57) received training and supervision in EBPs to treat community-based youth (N = 136). Supervision involving modeling and role-play predicted higher overall practice use than supervision involving discussion, and modeling predicted practice use in the next therapy session. No therapist characteristics predicted practice use, but ...

  18. A Framework for Supervision for Mindfulness-Based Teachers: a Space for Embodied Mutual Inquiry

    OpenAIRE

    Evans, Alison; Crane, Rebecca; Cooper, Lucinda; Mardula, Jody; Wilks, Jenny; Surawy, Christina; Kenny, Maura; Kuyken, Willem

    2014-01-01

    Over recent decades, there has been an exponential growth in mindfulness-based interventions (MBIs). To disseminate MBIs with fidelity, care needs to be taken with the training and supervision of MBI teachers. A wealth of literature exists describing the process and practice of supervision in a range of clinical approaches, but, as of yet, little consideration has been given to how this can best be applied to the supervision of MBI teachers. This paper articulates a framework for supervision ...

  19. 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…

  20. 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…

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

    OpenAIRE

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

    2016-01-01

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

  2. 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.

  3. The Implementation of Automatic Fire Rescuing and Information System in a Train using Zigbee and Sensors Networks.

    OpenAIRE

    Manoj Kumar Tyagi#1, Balanagu.Raviteja

    2013-01-01

    The demand for railway service, have consistently increasing in the last two decades. As a result, more strict safety requirements for railway signaling, control and infrastructure are needed. Same as railway service, in recent years, wireless technology have also advanced rapidly. Especially in this paper we are implementing a zigbee and sensor based information and rescuing system in a train to alert the authorities about the fire accident occurred. Zigbee and sensor network both are effect...

  4. Intelligent multivariate process supervision

    International Nuclear Information System (INIS)

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

  5. 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).

  6. 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.

  7. 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

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

    International Nuclear Information System (INIS)

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

  9. SUPERVISED MACHINE LEARNING APPROACHES: A SURVEY

    OpenAIRE

    Iqbal Muhammad; Zhu Yan

    2015-01-01

    One of the core objectives of machine learning is to instruct computers to use data or past experience to solve a given problem. A good number of successful applications of machine learning exist already, including classifier to be trained on email messages to learn in order to distinguish between spam and non-spam messages, systems that analyze past sales data to predict customer buying behavior, fraud detection etc. Machine learning can be applied as association analysis through Supervised ...

  10. 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.

  11. Distributed semi-supervised support vector machines.

    Science.gov (United States)

    Scardapane, Simone; Fierimonte, Roberto; Di Lorenzo, Paolo; Panella, Massimo; Uncini, Aurelio

    2016-08-01

    The semi-supervised support vector machine (S(3)VM) is a well-known algorithm for performing semi-supervised inference under the large margin principle. In this paper, we are interested in the problem of training a S(3)VM when the labeled and unlabeled samples are distributed over a network of interconnected agents. In particular, the aim is to design a distributed training protocol over networks, where communication is restricted only to neighboring agents and no coordinating authority is present. Using a standard relaxation of the original S(3)VM, we formulate the training problem as the distributed minimization of a non-convex social cost function. To find a (stationary) solution in a distributed manner, we employ two different strategies: (i) a distributed gradient descent algorithm; (ii) a recently developed framework for In-Network Nonconvex Optimization (NEXT), which is based on successive convexifications of the original problem, interleaved by state diffusion steps. Our experimental results show that the proposed distributed algorithms have comparable performance with respect to a centralized implementation, while highlighting the pros and cons of the proposed solutions. To the date, this is the first work that paves the way toward the broad field of distributed semi-supervised learning over networks. PMID:27179615

  12. 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...... 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....

  13. Etiske betragtninger ved supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Agerskov, Kirsten

    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...

  14. Man-machine supervision

    International Nuclear Information System (INIS)

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

  15. 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...

  16. Supervising the Reading Clinician.

    Science.gov (United States)

    Ridout, Susan Ramp; Bailey, Kevin Sue

    Designed for graduate students supervising undergraduate work in a reading clinic, this practicum manual provides guidelines and materials needed for the graduate section of the Reading Practicum (Methods of Teaching Reading II) at Indiana University Southeast. In addition to the syllabus, which includes course description and objectives, course…

  17. DIAPASON, supervision aid system

    International Nuclear Information System (INIS)

    Diapason, a supervision aid system, gives to the operator a synthetic representation of the process. It permits to predict the evolution of the process in order to realize an anticipated control; in incidental conditions, it permits a precocious detection and gives a default diagnostic. It comprises 3 modules used in a spent fuel reprocessing simulator. 9 refs

  18. Lateral Connections in Denoising Autoencoders Support Supervised Learning

    OpenAIRE

    Rasmus, Antti; Valpola, Harri; Raiko, Tapani

    2015-01-01

    We show how a deep denoising autoencoder with lateral connections can be used as an auxiliary unsupervised learning task to support supervised learning. The proposed model is trained to minimize simultaneously the sum of supervised and unsupervised cost functions by back-propagation, avoiding the need for layer-wise pretraining. It improves the state of the art significantly in the permutation-invariant MNIST classification task.

  19. Object Detection Using Strongly-Supervised Deformable Part Models

    OpenAIRE

    Azizpour, Hossein; Laptev, Ivan

    2012-01-01

    International audience Deformable part-based models [1, 2] achieve state-of-the-art performance for object detection, but rely on heuristic initialization during training due to the optimization of non-convex cost function. This paper investigates limitations of such an initialization and extends earlier methods using additional supervision. We explore strong supervision in terms of annotated object parts and use it to (i) improve model initialization, (ii) optimize model structure, and (i...

  20. Parallel processing in core supervision

    International Nuclear Information System (INIS)

    SCORPIO is a computer-based supervision system intended as a tool for operators of nuclear plants. In this paper the main functions of the system are defined, and the applicability of parallel processing in core supervision is discussed. (orig.)

  1. 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.

  2. Novice Supervisors' Understandings of Supervision.

    Science.gov (United States)

    Waite, Duncan

    Findings of a study that examined novice supervisors' understandings of supervision are presented in this paper. Data were collected from 110 graduate-level students enrolled in an introductory supervision class. Four themes emerged from students' definitions of supervision-domains, relationships, traits, and tasks. The most surprising finding was…

  3. Supervision: In Retrospect and Prospect.

    Science.gov (United States)

    Irvine, Freeman R., Jr.

    This literature review presents a concise chronology of supervision as it evolved on the American scene. It is emphasized that supervision has a unique definition for each user. Supervision in America evolved out of a basic school pattern inherited from the European school system. The early definition and concept of this position was vague. The…

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

    International Nuclear Information System (INIS)

    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

  5. 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.

  6. SUPERVISED MACHINE LEARNING APPROACHES: A SURVEY

    Directory of Open Access Journals (Sweden)

    Iqbal Muhammad

    2015-04-01

    Full Text Available One of the core objectives of machine learning is to instruct computers to use data or past experience to solve a given problem. A good number of successful applications of machine learning exist already, including classifier to be trained on email messages to learn in order to distinguish between spam and non-spam messages, systems that analyze past sales data to predict customer buying behavior, fraud detection etc. Machine learning can be applied as association analysis through Supervised learning, Unsupervised learning and Reinforcement Learning but in this study we will focus on strength and weakness of supervised learning classification algorithms. The goal of supervised learning is to build a concise model of the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign class labels to the testing instances where the values of the predictor features are known, but the value of the class label is unknown. We are optimistic that this study will help new researchers to guiding new research areas and to compare the effectiveness and impuissance of supervised learning algorithms.

  7. 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.

  8. Supervision and group dynamics

    DEFF Research Database (Denmark)

    Hansen, Søren; Jensen, Lars Peter

    2004-01-01

     An important aspect of the problem based and project organized study at Aalborg University is the supervision of the project groups. At the basic education (first year) it is stated in the curriculum that part of the supervisors' job is to deal with group dynamics. This is due to the experience...... 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. This...... problem is not only found at Aalborg University but also at the engineering colleges in Denmark. For that reason a course was developed with the aim of addressing the problem and showing, how it can be dealt with. So far the course has been offered several times to supervisors at the engineering colleges...

  9. OSART, delegation of supervision?

    International Nuclear Information System (INIS)

    Two OSART missions have taken place in Switzerland so far. The HSK has come to its first conclusions from the reports and determined that valuable ideas for supervision can arise from this form of third-party participation. Using the OSART advice as an example, there is illustrated how a view from outside can be the trigger to a new point of view. (author) 2 figs., refs

  10. Situação do estágio supervisionado em IES privadas da grande São Paulo Supervised period of training on the private universities of São Paulo and cities of the region

    Directory of Open Access Journals (Sweden)

    Sheila Aparecida Pereira dos Santos Silva

    2010-09-01

    Full Text Available Com o objetivo de diagnosticar a dinâmica da supervisão dos estágios em cursos de Graduação e Licenciatura em Educação Física após a publicação das Resoluções CNE/CP nº 01 e 02/2002, nº 07/2004 e nº 02/2007 e verificar sua aplicação, foram entrevistados sete docentes universitários, que orientam estágios curriculares em seis Instituições de Ensino Superior (IES privadas da Grande São Paulo. A entrevista, semi-estruturada, contou com sete questões abertas abrangendo a dinâmica dos estágios, carga horária, número de orientadores por aluno orientado, entre outros aspectos. Para o tratamento dos dados, foi utilizada a técnica de análise de conteúdo. Em todas as instituições pesquisadas o estágio é exigido a partir da metade do curso; existiam projetos de pesquisa e extensão que eram validados como horas/estágio e contemplavam uma disciplina destinada aos estágios, à exceção de uma delas. As horas de estágio a cumprir variaram entre 324 a 540 horas. Existiam diferenças significativas em relação ao número de orientandos por orientador, variando de 5 a 200 alunos por orientador. Em apenas uma IES ocorriam discussões sobre os relatórios apresentados. Percebeu-se a inexistência de uniformidade entre as instituições pesquisadas e, em algumas, a ausência de discussões a respeito dos estágios evidencia que as IES pouco se comprometem com a qualidade dessa experiência no processo de formação profissional e que, talvez, normas legais mais específicas sobre número máximo de alunos orientados por orientador pudessem colaborar para que esse problema fosse minimizadoWith the objective to make a diagnosis the dynamics of the supervision of the periods of training in courses of Graduation in Physical Education after the publication of Resolutions CNE/CP nº 01 and 02/2002, nº 07/2004 and nº 02/2007 and to verify its application, had been interviewed seven university professors, who guide curricular

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

    Science.gov (United States)

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

    2015-10-01

    Supervision plays a vital role in genetic counselor training, yet models describing genetic counseling supervision processes and outcomes are lacking. This paper describes a proposed supervision model intended to provide a framework to promote comprehensive and consistent clinical supervision training for genetic counseling students. Based on the principle "form follows function," the model reflects and reinforces McCarthy Veach et al.'s empirically derived model of genetic counseling practice - the "Reciprocal Engagement Model" (REM). The REM consists of mutually interactive educational, relational, and psychosocial components. The Reciprocal Engagement Model of Supervision (REM-S) has similar components and corresponding tenets, goals, and outcomes. The 5 REM-S tenets are: Learning and applying genetic information are key; Relationship is integral to genetic counseling supervision; Student autonomy must be supported; Students are capable; and Student emotions matter. The REM-S outcomes are: Student understands and applies information to independently provide effective services, develop professionally, and engage in self-reflective practice. The 16 REM-S goals are informed by the REM of genetic counseling practice and supported by prior literature. A review of models in medicine and psychology confirms the REM-S contains supervision elements common in healthcare fields, while remaining unique to genetic counseling. The REM-S shows promise for enhancing genetic counselor supervision training and practice and for promoting research on clinical supervision. The REM-S is presented in detail along with specific examples and training and research suggestions. PMID:25956951

  12. Automatic feature template generation for maximum entropy based intonational phrase break prediction

    Science.gov (United States)

    Zhou, You

    2013-03-01

    The prediction of intonational phrase (IP) breaks is important for both the naturalness and intelligibility of Text-to- Speech (TTS) systems. In this paper, we propose a maximum entropy (ME) model to predict IP breaks from unrestricted text, and evaluate various keyword selection approaches in different domains. Furthermore, we design a hierarchical clustering algorithm for automatic generation of feature templates, which minimizes the need for human supervision during ME model training. Results of comparative experiments show that, for the task of IP break prediction, ME model obviously outperforms classification and regression tree (CART), log-likelihood ratio is the best scoring measure of keyword selection, compared with manual templates, templates automatically generated by our approach greatly improves the F-score of ME based IP break prediction, and significantly reduces the size of ME model.

  13. 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%.

  14. AN EXPERIMENT IN PSYCHOTHERAPY TRAINING

    OpenAIRE

    Tharyan, Anna

    2000-01-01

    Group supervision was initiated in order to meet the training needs of psychiatric postgraduates. The experience of the group was surveyed at the end of one year. It was found that the use of groups as an adjunct to individual supervision was an eminently practical and acceptable method of facilitating training, accessing peer group support and auditing clinical care.

  15. Research on System Simulation Platform of Moving-Block Automatic Train Protection%移动闭塞列车自动防护系统仿真平台研究

    Institute of Scientific and Technical Information of China (English)

    孙永生; 张友鹏; 赵宇坤

    2012-01-01

    Optimization of train protection system was studied. Automatic train protection system should ensure train operation safety, optimize and control the speeds and time intervals of trains, and increase the line capacity in Moving-block train control system. Therefore, establishment of simulation platform of Moving-block automatic train protection system was proposed to track the Mpving-block train operation, forecast running strategy in the next stage, and control the train to track the intervals safely and in real-time. Through the establishment of models of minimum train safe track interval, the simulation platform can monitor the train running. After the analysis of train operation simulation under different conditions, the results indicate that the protection system of the simulation platform can guarantee the safe of train operation.%研究列车防护系统优化问题,列车自动防护系统应在移动闭塞列控系统中保证行车安全,对列车运行的速度和时间间隔应进行优化控制,提高线路运力.为此提出建立移动闭塞列车自动防护系统仿真平台,实现对移动闭塞列车的运行进行追踪,预测列车下一阶段的运行策略,并对列车的安全追踪间隔进行实时控制.通过建立列车最小安全追踪间隔模型,使仿真平台实现了列车运行安全监控功能.经过对不同条件下列车的运行进行仿真分析,结果表明,仿真平台的防护系统能够保证列车的运行安全.

  16. Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding

    OpenAIRE

    Johnson, Rie; Tong ZHANG

    2015-01-01

    This paper presents a new semi-supervised framework with convolutional neural networks (CNNs) for text categorization. Unlike the previous approaches that rely on word embeddings, our method learns embeddings of small text regions from unlabeled data for integration into a supervised CNN. The proposed scheme for embedding learning is based on the idea of two-view semi-supervised learning, which is intended to be useful for the task of interest even though the training is done on unlabeled dat...

  17. Online Supervised Subspace Tracking

    OpenAIRE

    Xie, Yao; Song, Ruiyang; Dai, Hanjun; Li, Qingbin; Song, Le

    2015-01-01

    We present a framework for supervised subspace tracking, when there are two time series $x_t$ and $y_t$, one being the high-dimensional predictors and the other being the response variables and the subspace tracking needs to take into consideration of both sequences. It extends the classic online subspace tracking work which can be viewed as tracking of $x_t$ only. Our online sufficient dimensionality reduction (OSDR) is a meta-algorithm that can be applied to various cases including linear r...

  18. 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.

  19. Incentives, Supervision, and Sharecropper Productivity

    OpenAIRE

    Jacoby, Hanan G.; Mansuri, Ghazala

    2009-01-01

    Though sharecropping remains widespread, its determinants are still poorly understood and the debate over the extent of moral hazard is far from settled. We address both issues by analyzing the role of landlord supervision. When landlords vary in their cost of supervision, otherwise identical share-tenants can have different productivity. Unique data on monitoring frequency collected from share-tenants in rural Pakistan confirms that, controlling for selection, 'supervised' tenants are signif...

  20. 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…

  1. 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

  2. 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,…

  3. 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.

  4. 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...

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

    Science.gov (United States)

    Powell, David J.

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

  6. 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)

  7. Special Issue on Clinical Supervision: A Reflection

    Science.gov (United States)

    Bernard, Janine M.

    2010-01-01

    This special issue about clinical supervision offers an array of contributions with disparate insights into the supervision process. Using a synergy of supervision model, the articles are categorized as addressing the infrastructure required for adequate supervision, the relationship dynamics endemic to supervision, or the process of delivering…

  8. Learning the semantic structure of objects from Web supervision

    OpenAIRE

    Novotny, David; Larlus, Diane; Vedaldi, Andrea

    2016-01-01

    While recent research in image understanding has often focused on recognizing more types of objects, understanding more about the objects is just as important. Recognizing object parts and attributes has been extensively studied before, yet learning large space of such concepts remains elusive due to the high cost of providing detailed object annotations for supervision. The key contribution of this paper is an algorithm to learn the nameable parts of objects automatically, from images obtain...

  9. Evaluation of a Supervised Learning Approach for Stock Market Operations

    OpenAIRE

    Lauretto, Marcelo S; Silva, Barbara B. C.; Andrade, Pablo M.

    2013-01-01

    Data mining methods have been widely applied in financial markets, with the purpose of providing suitable tools for prices forecasting and automatic trading. Particularly, learning methods aim to identify patterns in time series and, based on such patterns, to recommend buy/sell operations. The objective of this work is to evaluate the performance of Random Forests, a supervised learning method based on ensembles of decision trees, for decision support in stock markets. Preliminary results in...

  10. 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; Søe, Hanne; Hansen, Torben Bæk

    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)....

  11. Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation

    Science.gov (United States)

    Ye, Chuyang; Bazin, Pierre-Louis; Bogovic, John A.; Ying, Sarah H.; Prince, Jerry L.

    2012-02-01

    The cerebellar peduncles are white matter tracts that play an important role in the communication of the cerebellum with other regions of the brain. They can be grouped into three fiber bundles: inferior cerebellar peduncle middle cerebellar peduncle, and superior cerebellar peduncle. Their automatic segmentation on diffusion tensor images would enable a better understanding of the cerebellum and would be less time-consuming and more reproducible than manual delineation. This paper presents a method that automatically labels the three fiber bundles based on the segmentatin results from the diffusion oriented tract segmentation (DOTS) algorithm, which achieves volume segmentation of white matter tracts using a Markov random field (MRF) framework. We use the DOTS labeling result as a guide to determine the classification of fibers produced by wild bootstrap probabilistic tractography. Mean distances from each fiber to each DOTS volume label are defined and then used as features that contribute to classification. A supervised Gaussian classifier is employed to label the fibers. Manually delineated cerebellar peduncles serve as training data to determine the parameters of class probabilities for each label. Fibers are labeled ad the class that has the highest posterior probability. An outlier detection ste[ re,pves fober tracts that belong to noise of that are not modeled by DOTS. Experiments show a successful classification of the cerebellar peduncles. We have also compared results between successive scans to demonstrate the reproducibility of the proposed method.

  12. 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....

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

    Science.gov (United States)

    Jellinek, Michael S.

    2007-01-01

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

  14. Conjoint Supervision of Undergraduate Trainees Working with Eating Disorders Clients.

    Science.gov (United States)

    Lenihan, Genie O.; Kirk, William G.

    This paper describes a conjoint, collaborative training and supervision model designed for undergraduate psychology trainees. The Paraprofessional as Companion Therapist (PACT) program provides an internship experience for undergraduates who work directly as outpatient therapeutic companion-aides with university counseling center eating disorder…

  15. Generalization of Supervised Learning for Binary Mask Estimation

    DEFF Research Database (Denmark)

    May, Tobias; Gerkmann, Timo

    2014-01-01

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

  16. 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...

  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. 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…

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

    Directory of Open Access Journals (Sweden)

    Zelee Hill

    2014-05-01

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

  20. 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.

  1. Group supervision for general practitioners

    DEFF Research Database (Denmark)

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

    2013-01-01

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

  2. What's the point: Semantic segmentation with point supervision

    OpenAIRE

    Bearman, Amy; Russakovsky, Olga; Ferrari, Vittorio; Fei-Fei, Li

    2015-01-01

    The semantic image segmentation task presents a trade-off between test accuracy and the cost of obtaining training annotations. Detailed per-pixel annotations enable training accurate models but are very expensive to obtain; image-level class labels are an order of magnitude cheaper but result in less accurate models. We take a natural step from image-level annotation towards stronger supervision: we ask annotators to point to an object if one exists. We demonstrate that this adds negligible ...

  3. 国产兼容型列车超速防护系统车载设备研制%Development of Home-made Compatible on-board Automatic Train Protection Equipment

    Institute of Scientific and Technical Information of China (English)

    田文建; 张建明

    2009-01-01

    以北京地铁八通线列车超速防护(automatic train protection,ATP)系统车载设备研制为背景,对该车载设备需要完成的主要功能进行阐述,并对其控制模式、驾驶模式、速度测量、地面信息采集、系统安全性和可用性等进行分析,介绍设备的具体实现和应用情况.

  4. Learning to Detect Objects with Minimal Supervision

    OpenAIRE

    Ali, Karim

    2012-01-01

    Many classes of objects can now be successfully detected with statistical machine learning techniques. Faces, cars and pedestrians, have all been detected with low error rates by learning their appearance in a highly generic manner from extensive training sets. These recent advances have enabled the use of reliable object detection components in real systems, such as automatic face focusing functions on digital cameras. One key drawback of these metho...

  5. The role of the Initial Teacher Training Coordinator in the school based element of partnership: to what extent does the Co-ordinator undertake supervision of aspects of quality assurance?

    OpenAIRE

    Evans, A; Holland, M. R.; Wolstenholme, C. E.; Willis, B; Hawksley, F.

    2006-01-01

    Over the last 14 years, Universities and colleges have organised school placements and award qualifications whilst teachers, acting as mentors take the lead in guiding, supervising and assessing students on lengthy teaching placements. Partnership developed quickly in response to legislation and Sheffield Hallam University was among the first of the Universities to 'sign up' to the new partnership model in 1992. The Partnership Survey 2006 reported on in this paper has focussed on the Senio...

  6. 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...

  7. How are doctoral students supervised? Concepts of doctoral research supervision.

    OpenAIRE

    Lee, Anne

    2008-01-01

    Literature about doctoral supervision has concentrated on describing the ever lengthening lists of functions that must be carried out. This functional approach is necessary but there has been little exploration of a different paradigm, a conceptual approach towards research supervision. This paper, based on interviews with supervisors from a range of disciplines, aims to fill this a gap. The main concepts identified are: Functional: where the issue is one of project management; enculturation:...

  8. Local supervision of solariums

    International Nuclear Information System (INIS)

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

  9. An online semi-supervised brain-computer interface.

    Science.gov (United States)

    Gu, Zhenghui; Yu, Zhuliang; Shen, Zhifang; Li, Yuanqing

    2013-09-01

    Practical brain-computer interface (BCI) systems should require only low training effort for the user, and the algorithms used to classify the intent of the user should be computationally efficient. However, due to inter- and intra-subject variations in EEG signal, intermittent training/calibration is often unavoidable. In this paper, we present an online semi-supervised P300 BCI speller system. After a short initial training (around or less than 1 min in our experiments), the system is switched to a mode where the user can input characters through selective attention. In this mode, a self-training least squares support vector machine (LS-SVM) classifier is gradually enhanced in back end with the unlabeled EEG data collected online after every character input. In this way, the classifier is gradually enhanced. Even though the user may experience some errors in input at the beginning due to the small initial training dataset, the accuracy approaches that of fully supervised method in a few minutes. The algorithm based on LS-SVM and its sequential update has low computational complexity; thus, it is suitable for online applications. The effectiveness of the algorithm has been validated through data analysis on BCI Competition III dataset II (P300 speller BCI data). The performance of the online system was evaluated through experimental results on eight healthy subjects, where all of them achieved the spelling accuracy of 85 % or above within an average online semi-supervised learning time of around 3 min. PMID:23674410

  10. Online supervision at the university

    DEFF Research Database (Denmark)

    Bengtsen, Søren Smedegaard; Jensen, Gry Sandholm

    2015-01-01

    The article presents and condenses the background, findings and results of a one yearlong research project on online supervision and feedback at the university. The article builds on presentations and discussions in different research environments and conferences on higher education research and...... development (Bengtsen & Jensen 2013a; Bengtsen & Jensen 2013b; Jensen & Bengtsen 2014). Through an empirical study of supervision and feedback on student assignments at the university across face-to-face and online settings we show firstly, that the traditional dichotomy between face-to- face and online...... 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 the...

  11. 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.

  12. Construction supervision in construction project

    OpenAIRE

    Struna, Ervin

    2012-01-01

    Every construction project is a unique, complex process. Every completed structure is permanent act into space, and has therefore substantial influence upon social and natural environment. As a consequence, it is essential to provide professional supervision of the construction process that will ensure conformity of the construction with the project documentation and the building permit. The purpose of the thesis is to present the role of the construction supervision and the work of the s...

  13. Supervised Learning with Similarity Functions

    OpenAIRE

    Kar, Purushottam; Jain, Prateek

    2012-01-01

    We address the problem of general supervised learning when data can only be accessed through an (indefinite) similarity function between data points. Existing work on learning with indefinite kernels has concentrated solely on binary/multi-class classification problems. We propose a model that is generic enough to handle any supervised learning task and also subsumes the model previously proposed for classification. We give a "goodness" criterion for similarity functions w.r.t. a given superv...

  14. Supervising Children During Parental Distractions

    OpenAIRE

    Boles, Richard E.; Roberts, Michael C.

    2008-01-01

    Objective To examine the effects of parenting distractions on supervising behaviors in relation to child risky behaviors. Methods Forty preschool-aged children and their parents were randomly assigned to occupy a simulated home living room for 45 min with the parent involved in either (a) no planned distraction, (b) a telephone call distraction, (c) a TV show distraction, or (d) a computer assignment distraction. Parent and child behaviors were recorded and coded. Results Parent supervising b...

  15. 20 CFR 656.21 - Supervised recruitment.

    Science.gov (United States)

    2010-04-01

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

  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. 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.

  18. 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 .

  19. 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

  20. 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.

  1. The supervision of research for dissertations and theses

    Directory of Open Access Journals (Sweden)

    N. Lessing

    2004-12-01

    Full Text Available South African higher institutions of learning are engaged in rapid transformation processes. Some of the consequences are that an increasing proportion of the postgraduate student body is from previously disadvantaged backgrounds and that the body of academic staff has also been transformed. In general, students have limited experience of independent research work as well as using library and other research facilities. However, quality research needs to be maintained. It is of great importance that academics should have the knowledge and skills to supervise research. However, preliminary research indicates that very little is done to equip academic staff in the skills of supervising research. A literature study is done to determine the nature of postgraduate supervision as well as the role of the supervisor and the student. From this investigation an interview schedule, consisting of open-ended questions, was composed to use in focus group interviews with academics from various local and international universities. The interviews revealed that seasoned supervisors experience the guidance of postgraduate students as quite satisfactory although a number of pitfalls were raised by supervisors with less experience in the field. None of the interviewees indicated that they have been formally trained to act as a supervisor. It was also indicated that students need much support and training in scientific formulation and writing. It seems that a definite need exists for newer academic staff to be schooled in research supervision.

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2016-04-01

    Supervision is a primary instructional vehicle for genetic counseling student clinical training. Approximately two-thirds of genetic counselors report teaching and education roles, which include supervisory roles. Recently, Eubanks Higgins and colleagues published the first comprehensive list of empirically-derived genetic counseling supervisor competencies. Studies have yet to evaluate whether supervisors possess these competencies and whether their competencies differ as a function of experience. This study investigated three research questions: (1) What are genetic counselor supervisors' perceptions of their capabilities (self-efficacy) for a select group of supervisor competencies?, (2) Are there differences in self-efficacy as a function of their supervision experience or their genetic counseling experience, and 3) What training methods do they use and prefer to develop supervision skills? One-hundred thirty-one genetic counselor supervisors completed an anonymous online survey assessing demographics, self-efficacy (self-perceived capability) for 12 goal setting and 16 feedback competencies (Scale: 0-100), competencies that are personally challenging, and supervision training experiences and preferences (open-ended). A MANOVA revealed significant positive effects of supervision experience but not genetic counseling experience on participants' self-efficacy. Although mean self-efficacy ratings were high (>83.7), participant comments revealed several challenging competencies (e.g., incorporating student's report of feedback from previous supervisors into goal setting, and providing feedback about student behavior rather than personal traits). Commonly preferred supervision training methods included consultation with colleagues, peer discussion, and workshops/seminars. PMID:26242467

  4. The efficiency of government supervision

    International Nuclear Information System (INIS)

    In 1970, fires as events initiating plant failure were included in the accident analyses of nuclear power plant design concepts. In the meantime, they have been expressed in more precise terms and incorporated into the bodies of nuclear technical rules and regulations. Following a suggestion by the Baden-Wuerttemberg State Ministry for the Environment, the efficiency of government supervision has been examined for the example of fire protection measures or the site of Phillipsburg with one BWR and one PWR plant in operation. The result of the examination indicated that pragmatic approaches and the establishment of key areas of supervision could further enhance the efficiency of government supervision under Section 19 of the German Atomic Energy Act and achieve improvements in plant safety. (orig.)

  5. Nondisclosure in psychotherapy group supervision

    DEFF Research Database (Denmark)

    Reichelt, Sissel; Gullestad, Siri Erika; Hansen, Bjørg Røed;

    2009-01-01

    The aim of this study was to investigate aspects of nondisclosure in a sample of 55 student therapists, working within a group format of supervision. The study constituted one part of a larger study, with the other, parallel part addressing nondisclosure in supervisors. The participants were recr...... of students experienced that the groups became more closed throughout the supervision, and blamed their supervisors for inadequate handling of the group process. This is an issue that needs further exploration.......The aim of this study was to investigate aspects of nondisclosure in a sample of 55 student therapists, working within a group format of supervision. The study constituted one part of a larger study, with the other, parallel part addressing nondisclosure in supervisors. The participants were...

  6. 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...

  7. Broad Absorption Line Quasar catalogues with Supervised Neural Networks

    International Nuclear Information System (INIS)

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

  8. Ensemble Supervised and Unsupervised Learning with Kepler Variable Stars

    Science.gov (United States)

    Bass, Gideon; Kirk Borne

    2016-06-01

    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. I present a study on variable stars in the Kepler field using these techniques, and the novel work of unsupervised learning. I use new methods of characterization and multiple independent classifiers to produce an ensemble classifier that equals or matches existing classification abilities. I also explore the possibilities of unsupervised learning in making novel feature discovery in stars.

  9. Adequate supervision for children and adolescents.

    Science.gov (United States)

    Anderst, James; Moffatt, Mary

    2014-11-01

    Primary care providers (PCPs) have the opportunity to improve child health and well-being by addressing supervision issues before an injury or exposure has occurred and/or after an injury or exposure has occurred. Appropriate anticipatory guidance on supervision at well-child visits can improve supervision of children, and may prevent future harm. Adequate supervision varies based on the child's development and maturity, and the risks in the child's environment. Consideration should be given to issues as wide ranging as swimming pools, falls, dating violence, and social media. By considering the likelihood of harm and the severity of the potential harm, caregivers may provide adequate supervision by minimizing risks to the child while still allowing the child to take "small" risks as needed for healthy development. Caregivers should initially focus on direct (visual, auditory, and proximity) supervision of the young child. Gradually, supervision needs to be adjusted as the child develops, emphasizing a safe environment and safe social interactions, with graduated independence. PCPs may foster adequate supervision by providing concrete guidance to caregivers. In addition to preventing injury, supervision includes fostering a safe, stable, and nurturing relationship with every child. PCPs should be familiar with age/developmentally based supervision risks, adequate supervision based on those risks, characteristics of neglectful supervision based on age/development, and ways to encourage appropriate supervision throughout childhood. PMID:25369578

  10. 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.

  11. 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.

  12. Using Technology in School Supervision.

    Science.gov (United States)

    Bercik, Janet T.; Blair-Larsen, Susan M.

    2000-01-01

    Notes that few college faculty use technology in their teaching despite rapid growth in technology-based instruction in K-12 education. Describes two projects using AT&T's PersonaLink Service and Sony's Magic Link PIC 1000 in field experience supervision. (SG)

  13. Line supervision of alarm communications

    International Nuclear Information System (INIS)

    The objective of this paper is to explain the role and application of alarm communication link supervision in security systems such as for nuclear facilities. The vulnerabilities of the various types of alarm communication links will be presented. Throughout the paper, an effort has been made to describe only those technologies commercially available and to avoid speculative theoretical solutions

  14. Kreative metoder i verbal supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2013-01-01

    Kapitlet omhandler den traditionelle supervision, der afvikles ved at 1) supervisand og supervisor sidder på stole overfor hinanden under hele supervisionen, 2) supervisanden fremlægger sit arbejde med en given patient, 3) der ikke anvendes nogle former for medier (som fx tegninger, musik...

  15. 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...

  16. Improvement program of state supervision system for radioactive and nuclear installations

    International Nuclear Information System (INIS)

    The current program begins as part of a policy to take care of the development of the cuban nuclear program and with the objective of improving the state supervision system of nuclear and radioactive facilities on the basis of the national experience, good skills internationally accepted and taking into account IAEA recommendations. The program develops the following topics: reorientation and restructure of state supervision, review of the current nuclear legislature, update of regulations of facility safety and qualification and training of state supervision personnel

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

    OpenAIRE

    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 task and requires in-depth domain knowledge. Thus, only a very small proportion of the data can be labeled in practice. This bottleneck greatly degrades the effectiveness of supervised email classif...

  18. Supervised learning for the automated transcription of spacer classification from spoligotype films

    Directory of Open Access Journals (Sweden)

    Abernethy Neil

    2009-08-01

    Full Text Available Abstract Background Molecular genotyping of bacteria has revolutionized the study of tuberculosis epidemiology, yet these established laboratory techniques typically require subjective and laborious interpretation by trained professionals. In the context of a Tuberculosis Case Contact study in The Gambia we used a reverse hybridization laboratory assay called spoligotype analysis. To facilitate processing of spoligotype images we have developed tools and algorithms to automate the classification and transcription of these data directly to a database while allowing for manual editing. Results Features extracted from each of the 1849 spots on a spoligo film were classified using two supervised learning algorithms. A graphical user interface allows manual editing of the classification, before export to a database. The application was tested on ten films of differing quality and the results of the best classifier were compared to expert manual classification, giving a median correct classification rate of 98.1% (inter quartile range: 97.1% to 99.2%, with an automated processing time of less than 1 minute per film. Conclusion The software implementation offers considerable time savings over manual processing whilst allowing expert editing of the automated classification. The automatic upload of the classification to a database reduces the chances of transcription errors.

  19. 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.

  20. 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...... results showed 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....

  1. 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.

  2. 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.

  3. Management and supervision of radiopharmaceuticals in China

    International Nuclear Information System (INIS)

    for Implementation of Drug Administration Law (2002); 2) Regulation for the Supervision and Administration of Medical Devices (2000); 3) Administration regulation of radiopharmaceuticals (1989); 4) Regulation on Radiation Protection of Radioactive Isotope and Radiation Installation (1989, being revised), etc. Management and supervision practice The government supports R and D of radiopharmaceuticals, especially for new products, processing and techniques, conducts review and approval of its research and clinical trial, manages its registration, adopts a licensing system for its manufacturing, distributing and using, exercises review and approval for GMP of its manufacturer, conducts review and approval of its import and export, and supervises their implementation. We propagandize the basic knowledge and information about radiopharmaceuticals to the public, require licensees to organize special training for related workers and some important professional shall get qualification from government, and do some inspection regularly. we sponsor symposium to promote exchange in this field. The Chinese government greatly emphasizes the IAEA's positive role in promoting international cooperation in the peaceful uses of nuclear technology and safety management of radiopharmaceuticals. We will stick to support the IAEA's efforts in this area, sincerely hope to keep expanding cooperation and exchanges with other countries in this field, and continuously make joint efforts to widen its application effectively and to benefit public health. (author)

  4. Management Approach and Conditions of Training

    OpenAIRE

    B.K. Punia; Teena Saharan

    2011-01-01

    Training is an important strategic function in many organizations because it has an impact on employees’ knowledge, potential, efficiency and effectiveness. Training can offer added value, but a measured and inaccessible determination of training effectiveness is difficult because personnel performance depends not only on training delivery, but also on many other factors such as management perspective regarding training, supervision, procedures, training aids, pre-training briefings, manage...

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

    Science.gov (United States)

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

    2012-01-01

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

  6. 20 CFR 655.30 - Supervised recruitment.

    Science.gov (United States)

    2010-04-01

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

  7. The Effectiveness of Academic Supervision for Teachers

    Science.gov (United States)

    Rahabav, Patris

    2016-01-01

    This research was conducted with the purpose of describing the general effectiveness of the academic supervision for teachers with three main focus, which is to analyze the competence of supervisors; academic supervision program implementation and the results and impact of academic supervision. The research location is SMU Maria Mediatrix Ambon,…

  8. 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...

  9. 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...

  10. 76 FR 2197 - Office of Thrift Supervision

    Science.gov (United States)

    2011-01-12

    ... Office of Thrift Supervision Identity Theft Red Flags and Address Discrepancies Under the Fair and Accurate Credit Transactions Act of 2003 AGENCY: Office of Thrift Supervision (OTS), Treasury. ACTION... Office, Office of Thrift Supervision, 1700 G Street, NW., Washington, DC 20552, by fax to (202)...

  11. 75 FR 59799 - Office of Thrift Supervision

    Science.gov (United States)

    2010-09-28

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

  12. 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....

  13. 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....

  14. 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...

  15. 10 CFR 35.27 - Supervision.

    Science.gov (United States)

    2010-01-01

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

  16. 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,...

  17. 19 CFR 111.28 - Responsible supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Responsible supervision. 111.28 Section 111.28... TREASURY CUSTOMS BROKERS Duties and Responsibilities of Customs Brokers § 111.28 Responsible supervision... exercise responsible supervision and control (see § 111.1) over the transaction of the customs business...

  18. 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...

  19. 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…

  20. 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...

  1. 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,...

  2. 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...

  3. 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,…

  4. 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.

  5. 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.

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

    Science.gov (United States)

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

    2016-07-01

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

  7. 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.

  8. 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

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

    International Nuclear Information System (INIS)

    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

  10. Declarative modeling for process supervision

    International Nuclear Information System (INIS)

    Our work is a contribution to computer aided supervision of continuous processes. It is inspired by an area of Artificial Intelligence: qualitative physics. Here, supervision is based on a model which continuously provides operators with a synthetic view of the process; but this model is founded on general principles of control theory rather than on physics. It involves concepts such as high gain or small time response. It helps in linking temporally the evolution of various variables. Moreover, the model provides predictions of the future behaviour of the process, which allows action advice and alarm filtering. This should greatly reduce the famous cognitive overload associated to any complex and dangerous evolution of the process

  11. Integrated care requires integrated supervision

    OpenAIRE

    Ketelaars, Corry

    2011-01-01

    Introduction: Given recent developments in integrated care, it is becoming increasingly important for the Dutch Health Care Inspectorate to direct its supervision in a way that may help speed up the implementation of integrated care.Description of care practice: Since the implementation of integrated care for chronic patients is facing obstacles, alternative methods are required to ensure that the implementation process does not run into any delays. By applying a risk-based approach to integr...

  12. Road Detection through Supervised Classification

    OpenAIRE

    Alkhorshid, Yasamin; Aryafar, Kamelia; Bauer, Sven; Wanielik, Gerd

    2016-01-01

    Autonomous driving is a rapidly evolving technology. Autonomous vehicles are capable of sensing their environment and navigating without human input through sensory information such as radar, lidar, GNSS, vehicle odometry, and computer vision. This sensory input provides a rich dataset that can be used in combination with machine learning models to tackle multiple problems in supervised settings. In this paper we focus on road detection through gray-scale images as the sole sensory input. Our...

  13. Supervision of execution of dismantling

    International Nuclear Information System (INIS)

    Enresa create and organizational structure that covers various areas involved in effective control of Decommissioning Project. One area is the Technical Supervision of Works Decommissioning Project, as Execution Department dependent Technical Management. In the structure, Execution Department acts as liaison between the project, disciplines involved in developing and specialized companies contracted work to achieve your intended target. Equally important is to ensure that such activities are carried out correctly, according to the project documentation. (Author)

  14. Constraction process supervision risk management

    OpenAIRE

    Praček, Špela

    2013-01-01

    Management of risks related to the construction project costs, timing, and quality of work carried out is permanent activity in the construction process. In order to manage this complex activity with significant financial inputs and environmental impacts, appropriate risk management is required. The investor, as key participant in the construction process, has to supervise the construction process in order to adequately manage those financially and technically demanding activities...

  15. Medical supervision of radiation workers

    International Nuclear Information System (INIS)

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

  16. 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 of an...... introduction course for new doctoral students. This study showed how the course provides an effective way build supervisee agency and strengthening supervisory relationships through clarification and alignment of expectations and sharing goals about doctoral studies. From the other angle the research...

  17. Indirect supervision of hedge funds.

    OpenAIRE

    Nouy, D.

    2007-01-01

    Many risks associated with hedge funds can be addressed through indirect measures aimed at the hedge funds’ counterparties and creditors, nearly all of which are regulated banks and securities fi rms. Hence, we consider here how indirect supervision has been made more effective over time and how we should be continuing to make it more effective in practice. The theoretical usefulness of hedge funds in making markets more effi cient and more stable is undisputed but does not always materialize...

  18. Conditional Delegation and Optimal Supervision

    OpenAIRE

    Alfredo Burlando; Alberto Motta

    2009-01-01

    This paper analyzes a simple modification of a standard mechanism in hierarchical centralized structures with hard-information supervision. The supervisor receives a signal about the productive agent's technology. With some probability the supervisor learns the true agent's technology, otherwise she learns nothing. Our design lets the productive agent choose between two competing contracts, a "secure" contract or a grand contract subject to uncertainty. The mechanism eliminates agency costs b...

  19. Analysis on Wireless CBTC System for Automatic Train Stop Positioning%无线CBTC系统列车自动停站对位分析

    Institute of Scientific and Technical Information of China (English)

    赵晓峰

    2012-01-01

    介绍了ATO硬件设备及ATO连续制动定位停车原理,从车载ATO和轨旁ATP硬件设备以及软件角度深入分析了车站定位停车的各个操作状态(制动、预对准、停站等)和判定机制。此外,简要介绍了信号系统实时控制列车运行的自适应PI控制器算法。%From the hardware aspect it describes the on-board ATO continuous brake for train stop positioning. On-board ATO and trackside ATP hardware and software are further analyzed in the view of operating state of station position parking, including brake, prealignment, stop and other state, and confirming principle, In addition, signaling system real-time adaptive PI controller algorithm to control trains run is briefly described.

  20. A Novel Multi label Text Classification Model using Semi supervised learning

    Directory of Open Access Journals (Sweden)

    Shweta C. Dharmadhikari

    2012-07-01

    Full Text Available Automatic text categorization (ATC is a prominent research area within Information retrieval. Throughthis paper a classification model for ATC in multi-label domain is discussed. We are proposing a new multi label text classification model for assigning more relevant set of categories to every input text document. Our model is greatly influenced by graph based framework and Semi supervised learning. We demonstrate the effectiveness of our model using Enron , Slashdot , Bibtex and RCV1 datasets. Our experimental results indicate that the use of Semi Supervised Learning in MLTC greatly improves the decision making capability of classifier.

  1. A Novel Multi label Text Classification Model using Semi supervised learning

    Directory of Open Access Journals (Sweden)

    Shweta C. Dharmadhikari

    2012-09-01

    Full Text Available Automatic text categorization (ATC is a prominent research area within Information retrieval. Throughthis paper a classification model for ATC in multi-label domain is discussed. We are proposing a new multi label text classification model for assigning more relevant set of categories to every input text document. Our model is greatly influenced by graph based framework and Semi supervised learning. We demonstrate the effectiveness of our model using Enron , Slashdot , Bibtex and RCV1 datasets. Our experimental results indicate that the use of Semi Supervised Learning in MLTC greatly improves the decision making capability of classifier.

  2. Narrative E-Mail-Supervision

    Directory of Open Access Journals (Sweden)

    Elisabeth Goebel-Krayer

    2007-09-01

    Full Text Available Online-Beratung In der Praxis der E-Mail-Supervision taucht immer wieder die Frage nach einer geeigneten Methode auf. Wie kann aufgrund des lediglich zur Verfügung stehenden Textes ein Antwortschreiben verfasst werden, das doch beratenden Charakter haben soll? Mit der narrativen E-Mail-Supervision wird nicht nur eine Methode vorgestellt, mit der es möglich ist, anhand des Textes die Sicht der SupervisandInnen zu rekonstruieren. Narrative E-Mail-Supervision ermöglicht es darüber hinaus, das berufliche Handeln in besonderer Weise zu reflektieren. Die SupervisandInnen werden mit Hilfe offener Fragestellungen dazu angeregt, von ihrem beruflichen Alltag Erzählungen aufzuschreiben. Dieses erzählende Schreiben wiederum führt dazu, dass die SupervisandInnen Situationen erneut erleben und aus der gegenwärtigen Perspektive ihr Handeln (neu bewerten. Die SupervisandInnen werden im Schreiben sich selbst zu SupervisorInnen.

  3. The Supervised Hierarchical Dirichlet Process.

    Science.gov (United States)

    Dai, Andrew M; Storkey, Amos J

    2015-02-01

    We propose the supervised hierarchical Dirichlet process (sHDP), a nonparametric generative model for the joint distribution of a group of observations and a response variable directly associated with that whole group. We compare the sHDP with another leading method for regression on grouped data, the supervised latent Dirichlet allocation (sLDA) model. We evaluate our method on two real-world classification problems and two real-world regression problems. Bayesian nonparametric regression models based on the Dirichlet process, such as the Dirichlet process-generalised linear models (DP-GLM) have previously been explored; these models allow flexibility in modelling nonlinear relationships. However, until now, hierarchical Dirichlet process (HDP) mixtures have not seen significant use in supervised problems with grouped data since a straightforward application of the HDP on the grouped data results in learnt clusters that are not predictive of the responses. The sHDP solves this problem by allowing for clusters to be learnt jointly from the group structure and from the label assigned to each group. PMID:26353239

  4. 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.

  5. Automatic Segmentation of Eight Tissue Classes in Neonatal Brain MRI

    Science.gov (United States)

    Anbeek, Petronella; Išgum, Ivana; van Kooij, Britt J. M.; Mol, Christian P.; Kersbergen, Karina J.; Groenendaal, Floris; Viergever, Max A.; de Vries, Linda S.; Benders, Manon J. N. L.

    2013-01-01

    Purpose Volumetric measurements of neonatal brain tissues may be used as a biomarker for later neurodevelopmental outcome. We propose an automatic method for probabilistic brain segmentation in neonatal MRIs. Materials and Methods In an IRB-approved study axial T1- and T2-weighted MR images were acquired at term-equivalent age for a preterm cohort of 108 neonates. A method for automatic probabilistic segmentation of the images into eight cerebral tissue classes was developed: cortical and central grey matter, unmyelinated and myelinated white matter, cerebrospinal fluid in the ventricles and in the extra cerebral space, brainstem and cerebellum. Segmentation is based on supervised pixel classification using intensity values and spatial positions of the image voxels. The method was trained and evaluated using leave-one-out experiments on seven images, for which an expert had set a reference standard manually. Subsequently, the method was applied to the remaining 101 scans, and the resulting segmentations were evaluated visually by three experts. Finally, volumes of the eight segmented tissue classes were determined for each patient. Results The Dice similarity coefficients of the segmented tissue classes, except myelinated white matter, ranged from 0.75 to 0.92. Myelinated white matter was difficult to segment and the achieved Dice coefficient was 0.47. Visual analysis of the results demonstrated accurate segmentations of the eight tissue classes. The probabilistic segmentation method produced volumes that compared favorably with the reference standard. Conclusion The proposed method provides accurate segmentation of neonatal brain MR images into all given tissue classes, except myelinated white matter. This is the one of the first methods that distinguishes cerebrospinal fluid in the ventricles from cerebrospinal fluid in the extracerebral space. This method might be helpful in predicting neurodevelopmental outcome and useful for evaluating neuroprotective clinical

  6. Automatic segmentation of eight tissue classes in neonatal brain MRI.

    Directory of Open Access Journals (Sweden)

    Petronella Anbeek

    Full Text Available PURPOSE: Volumetric measurements of neonatal brain tissues may be used as a biomarker for later neurodevelopmental outcome. We propose an automatic method for probabilistic brain segmentation in neonatal MRIs. MATERIALS AND METHODS: In an IRB-approved study axial T1- and T2-weighted MR images were acquired at term-equivalent age for a preterm cohort of 108 neonates. A method for automatic probabilistic segmentation of the images into eight cerebral tissue classes was developed: cortical and central grey matter, unmyelinated and myelinated white matter, cerebrospinal fluid in the ventricles and in the extra cerebral space, brainstem and cerebellum. Segmentation is based on supervised pixel classification using intensity values and spatial positions of the image voxels. The method was trained and evaluated using leave-one-out experiments on seven images, for which an expert had set a reference standard manually. Subsequently, the method was applied to the remaining 101 scans, and the resulting segmentations were evaluated visually by three experts. Finally, volumes of the eight segmented tissue classes were determined for each patient. RESULTS: The Dice similarity coefficients of the segmented tissue classes, except myelinated white matter, ranged from 0.75 to 0.92. Myelinated white matter was difficult to segment and the achieved Dice coefficient was 0.47. Visual analysis of the results demonstrated accurate segmentations of the eight tissue classes. The probabilistic segmentation method produced volumes that compared favorably with the reference standard. CONCLUSION: The proposed method provides accurate segmentation of neonatal brain MR images into all given tissue classes, except myelinated white matter. This is the one of the first methods that distinguishes cerebrospinal fluid in the ventricles from cerebrospinal fluid in the extracerebral space. This method might be helpful in predicting neurodevelopmental outcome and useful for evaluating

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

    Directory of Open Access Journals (Sweden)

    Hasan Basri Memduhoğlu

    2012-01-01

    Full Text Available 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-oriented supervision rather than guidance and counseling, conflicting supervisor roles, workload and inadequate time for supervision, standard assessment forms, professional incompetencies and negative attitudes of supervisors within the context of supervision subsystem of Turkish education system.

  8. 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.

  9. Amélioration de la supervision de la relation médecin-patient. Utilisation de la méthodologie des systèmes souples.

    OpenAIRE

    Bilodeau, A.; Côté, L

    1997-01-01

    PROBLEM ADDRESSED: To train residents adequately, major improvements in the supervision of the doctor-patient relationship were needed. OBJECTIVE OF THE PROGRAM: To improve supervision of residents' building and managing doctor-patient relationships. MAIN COMPONENTS OF THE PROGRAM: Using a program based on systems thinking, the teachers at one Quebec university introduced major changes: a reduction in the number of doctors involved in supervision; a common conceptual framework enabling superv...

  10. Supervision of sunbeds in Finland

    International Nuclear Information System (INIS)

    Sunbeds emitting ultraviolet radiation (UV radiation) are used for cosmetic tanning. UV radiation incontrovertibly causes skin diseases such as skin cancer and eye diseases. UV exposure from natural sun should be moderate and from sunbeds it should be avoided. The aim of the supervision of sunbeds and tanning facilities is to ensure that they comply with valid safety requirements. The basis for the requirements is that acute effects such as sunburns will not occur and the yearly UV dose would not increase excessively. (orig.)

  11. Efficiency wages and endogenous supervision technology

    OpenAIRE

    Ferruccio Ponzano

    2001-01-01

    Analyses about supervision technology are not frequent in economic literature. This paper analyses an efficiency wage model with an endogenous choice of supervision technology. Starting from Shapiro and Stiglitz (1984) and Bowles (1985) modelsÂÂÂ’ I show a model with an endogenous and costly supervision technology to better explain the behaviour of firms and workers under asymmetric information in the labour market. In particular, I show how firms allocate costs between wages and supervisi...

  12. 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.

  13. 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...

  14. A Brain-like Learning System with Supervised, Unsupervised and Reinforcement Learning

    Science.gov (United States)

    Sasakawa, Takafumi; Hu, Jinglu; Hirasawa, Kotaro

    Our brain has three different learning paradigms: supervised, unsupervised and reinforcement learning. And it is suggested that those learning paradigms relate deeply to the cerebellum, cerebral cortex and basal ganglia in the brain, respectively. Inspired by these knowledge of brain, we present a brain-like learning system with those three different learning algorithms. The proposed system consists of three parts: the supervised learning (SL) part, the unsupervised learning (UL) part and the reinforcement learning (RL) part. The SL part, corresponding to the cerebellum of brain, learns an input-output mapping by supervised learning. The UL part, corresponding to the cerebral cortex of brain, is a competitive learning network, and divides an input space to subspaces by unsupervised learning. The RL part, corresponding to the basal ganglia of brain, optimizes the model performance by reinforcement learning. Numerical simulations show that the proposed brain-like learning system optimizes its performance automatically and has superior performance to an ordinary neural network.

  15. 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...

  16. ICT Strategies and Tools for the Improvement of Instructional Supervision. The Virtual Supervision

    Science.gov (United States)

    Cano, Esteban Vazquez; Garcia, Ma. Luisa Sevillano

    2013-01-01

    This study aims to evaluate and analyze strategies, proposals, and ICT tools to promote a paradigm shift in educational supervision that enhances the schools of this century involved not only in teaching-face learning, but e-learning and blended learning. Traditional models of educational supervision do not guarantee adequate supervision of the…

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

    OpenAIRE

    Hasan Basri Memduhoğlu; Mevsim Zengin

    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-...

  18. 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.

  19. 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.

  20. 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...

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

    OpenAIRE

    Beukel, van den, Arie Paul; Voort, van der, A.J.M.; 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, is important. Based on comparison between SART and SAGAT measurement techniques within a simulator study, the test set-up presented in this paper suggests to be successful in providing a coherent t...

  2. 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.

  3. Bayesian semi-supervised classification of bacterial samples using MLST databases

    Directory of Open Access Journals (Sweden)

    Spratt Brian G

    2011-07-01

    Full Text Available Abstract Background Worldwide effort on sampling and characterization of molecular variation within a large number of human and animal pathogens has lead to the emergence of multi-locus sequence typing (MLST databases as an important tool for studying the epidemiology and evolution of pathogens. Many of these databases are currently harboring several thousands of multi-locus DNA sequence types (STs enriched with metadata over traits such as serotype, antibiotic resistance, host organism etc of the isolates. Curators of the databases have thus the possibility of dividing the pathogen populations into subsets representing different evolutionary lineages, geographically associated groups, or other subpopulations, which are defined in terms of molecular similarities and dissimilarities residing within a database. When combined with the existing metadata, such subsets may provide invaluable information for assessing the position of a new set of isolates in relation to the whole pathogen population. Results To enable users of MLST schemes to query the databases with sets of new bacterial isolates and to automatically analyze their relation to existing curated sequences, we introduce here a Bayesian model-based method for semi-supervised classification of MLST data. Our method can use an MLST database as a training set and assign simultaneously any set of query sequences into the earlier discovered lineages/populations, while also allowing some or all of these sequences to form previously undiscovered genetically distinct groups. This tool provides probabilistic quantification of the classification uncertainty and is highly efficient computationally, thus enabling rapid analyses of large databases and sets of query sequences. The latter feature is a necessary prerequisite for an automated access through the MLST web interface. We demonstrate the versatility of our approach by anayzing both real and synthesized data from MLST databases. The introduced

  4. Semi-Supervised Eigenbasis Novelty Detection

    Science.gov (United States)

    Wagstaff, Kiri L.; Thompson, David R.

    2013-01-01

    Recent discoveries in high-time-resolution radio astronomy data have focused attention on a new class of events. Fast transients are rare pulses of radio frequency energy lasting from microseconds to seconds that might be produced by a variety of exotic astrophysical phenomena. For example, X-ray bursts, neutron stars, and active galactic nuclei are all possible sources of short-duration, transient radio signals. It is difficult to anticipate where such signals might appear, and they are most commonly discovered through analysis of high-time- resolution data that had been collected for other purposes. Transients are often faint and difficult to detect, so improved detection algorithms can directly benefit the science yield of all such commensal monitoring. A new detection algorithm learns a low-dimensional linear manifold for describing the normal data. High reconstruction error indicates a novel signal that does not match the patterns of normal data. One unsupervised portion of the manifold model adapts its representation in response to recent data. A second supervised portion of the model is made of a basis trained in advance using labeled examples of RFI; this prevents false positives due to these events. For a linear model, an orthonormalization operation is used to combine these bases prior to the anomaly detection decision. Another novel aspect of the approach lies in combining basis vectors learned in an unsupervised, online fashion from the data stream with supervised basis vectors learned in advance from known examples of false alarms. Adaptive, data-driven detection is achieved that is also informed by existing domain knowledge about signals that may be statistically anomalous, but are not interesting and should therefore be ignored. The method was evaluated using data from the Parkes Multibeam Survey. This data set was originally collected to search for pulsars, which are astronomical sources that emit radio pulses at regular periods. However, several

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

    Science.gov (United States)

    Sindlinger, Jodi

    2011-01-01

    Evidence of the increasing use of technology in counselor education is indicated by the increase in journal articles, programs, websites, and books on this topic (Albrecht & Jones, 2001; Layne & Hohenshil, 2005). The Internet has emerged as an important tool in the training and supervision of counseling students (Conn, Roberts, & Powell, 2009;…

  6. Partnerships in Professional Learning: The Supervision Casebook--An Action Learning Resource.

    Science.gov (United States)

    Lange, John D.; Burroughs-Lange, Sue G.

    The supervision of neophytes in all professional vocations is a complex and multifaceted process and not really achieved without adequate training and experience. This project's aim was to develop innovative, problem solving, teaching resources in the form of "case knowledge" episodes to provide "strategic knowing" activities for supervisors of…

  7. Issues and Ideas: Organization, Administration and Supervision.

    Science.gov (United States)

    Miller, Irving

    1982-01-01

    This article discusses the basic characteristics of organization, administration, supervision, and specific problems of human service organizations and relates them to the concept of power. The author proposes an integration of the two models of supervision so that the administrative and teaching functions will both be served. (Author)

  8. 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…

  9. Reviewing Videotape in Supervision: A Developmental Approach

    Science.gov (United States)

    Huhra, Rachel L.; Yamokoski-Maynhart, Cynthia A.; Prieto, Loreto R.

    2008-01-01

    The authors review the extant literature on the use of videotape technology in supervision and, on the basis of an empirically supported developmental model of supervision, offer guidelines to supervisors on the use of videotape feedback. Suggestions are also offered for future research in this area.

  10. Managing Difficulties in Supervision: Supervisors' Perspectives

    Science.gov (United States)

    Grant, Jan; Schofield, Margot J.; Crawford, Sarah

    2012-01-01

    Few studies have examined the practice wisdom of expert supervisors. This study addresses this gap by exploring how experienced supervisors manage difficulties in supervision in the context of the supervisory relationship. The supervisors were a purposive sample of 16 senior members of the profession with considerable expertise in supervision.…

  11. Ethical Issues in the Conduct of Supervision.

    Science.gov (United States)

    Sherry, Patrick

    1991-01-01

    Uses American Psychological Association code of ethics to understand ethical issues present in the conduct of supervision. Discusses ethical issues of responsibility, client and supervisee welfare, confidentiality, competency, moral and legal standards, public statements, and professional relationships in relation to supervision. (Author/NB)

  12. Teacher Supervision Practices and Principals' Characteristics

    Science.gov (United States)

    April, Daniel; Bouchamma, Yamina

    2015-01-01

    A questionnaire was used to determine the individual and collective teacher supervision practices of school principals and vice-principals in Québec (n = 39) who participated in a research-action study on pedagogical supervision. These practices were then analyzed in terms of the principals' sociodemographic and socioprofessional characteristics…

  13. State Supervision and Control of Radiation Protection

    International Nuclear Information System (INIS)

    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

  14. State Radiation Protection Supervision and Control

    International Nuclear Information System (INIS)

    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

  15. 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)

  16. The Agile Approach with Doctoral Dissertation Supervision

    Science.gov (United States)

    Tengberg, Lars Göran Wallgren

    2015-01-01

    Several research findings conclude that many doctoral students fail to complete their studies within the allowable time frame, in part because of problems related to the research and supervision process. Surveys show that most doctoral students are generally satisfied with their dissertation supervision. However, these surveys also reveal some…

  17. Research Supervision: An Important Site of Teaching

    Science.gov (United States)

    McMichael, M. Jane; McKee, Margaret

    2008-01-01

    Supervision of students engaged in research projects and theses is an important site of teaching. Schon's (1987) well-known framework-educating for reflective practice-proves aptly suited for this teaching forum, offering insights for research supervision at multiple university levels. Conceptually, a research and writing studio where a practicum…

  18. Project Supervision – An Engineering Approach

    DEFF Research Database (Denmark)

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

    2011-01-01

    supervisors meet every week on a fixed weekday. In our team, it is normal that one supervisor supervises three to five projects simultaneously. The core of the supervision is the weekly meetings where the students present what they have been doing and what they plan to do. By default, all students are present...

  19. 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...

  20. 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...

  1. 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...

  2. How Does Supervision Support Inclusive Teacherhood?

    Science.gov (United States)

    Alila, Sanna; Määttä, Kaarina; Uusiautti, Satu

    2016-01-01

    Supervision is a multidimensional concept and phenomenon. In this study, the advantages of supervision and its development in inclusive teacherhood was studied. Inclusive teacherhood means a teacher's professional development and the school culture's change toward participatory school for all students. The study analyzed the views of supervisors…

  3. 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....

  4. 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...

  5. 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...

  6. 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...

  7. Family Nurse Partnership: why supervision matters.

    Science.gov (United States)

    Andrews, Lindsayws

    First-time teenage mothers and their babies are likely to have increased levels of need. This article explores how supervision supports Family Nurse Partnership (FNP) nurses to undertake complex work with teenage, first-time mothers and their babies. Careful application of a supervision model can provide the structure for a safe, containing, reflective space. PMID:27145652

  8. Case Studies: Windows onto Clinical Supervision.

    Science.gov (United States)

    Nolan, Jim; And Others

    1993-01-01

    By examining the structures and activities common to six case studies of clinical teacher supervision, this article identifies five conditions that facilitate changes in teacher thinking and behavior: development of a supportive, collegial relationship; teacher control over supervision products; continuity over time; focused, descriptive records…

  9. Supervision of Psychotherapy: Models, Issues, and Recommendations

    Science.gov (United States)

    Westefeld, John S.

    2009-01-01

    Current models and issues related to psychotherapy supervision are examined. These include ethical and legal issues, problems of interpersonal competence, and multicultural issues. As a part of this analysis, interviews about supervision with five prominent counseling psychologists are included to provide their perspectives. Implications for the…

  10. 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…

  11. 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...

  12. What happens in supervision? An exploration of the use of stylistic devices in professional management supervision and their role in mediating organisational and professional culture within a social services department

    OpenAIRE

    Hafford - Letchfield, Trish; Bourn, Diana

    2010-01-01

    A number of serious case reviews in UK social work and social care have highlighted systematic failures within care organisations. Calls for structural reform in the provision of services have been accompanied by increased inspection, staff training, supervision and surveillance of professional practice. Less is known about cultural aspects of statutory care organisations and the role of front line managers in mediating organisational uncertainty. Staff management supervision is cited as an ...

  13. Per Mausklick in die Supervision

    Directory of Open Access Journals (Sweden)

    Florian Klampfer

    2005-09-01

    Full Text Available Onlinesupervision im Hinblick auf Fallbesprechungen aus der Onlineberatung ist sinnvoll, zumal die auftauchenden Fragestellungen, welche häufig nur im Kontext des Mediums nachvollziehbar sind, durch das gleiche Medium besprochen werden, in dem sie auch entstanden sind. Angefangen von der schriftkommunzierten Falldarstellung, dem reduzierten Gefühlsaudruck bis hin zu den Interventionen bietet dieses Medium vielfältige und onlinespezifische Arbeitsmethoden. Allerdings ist es – neben den beschriebenen Grenzen – auch wichtig, immer wieder ein Gegengewicht zur "virtuellen Welt" herzustellen und wieder "Bodenhaftung" zu spüren, was hauptsächlich in der face-to-face-Beratungssituation möglich ist. Somit stellt die Onlinesupervision eine eigenständige und hilfreiche Möglichkeit dar, die eigene Arbeit kontextnah zu betrachten und zu hinterfragen, sofern sie zielgerichtet und eventuell ergänzend zur Live-Supervision eingesetzt wird.

  14. 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.

  15. Supervising Scientist, Annual Report 2000-2001

    International Nuclear Information System (INIS)

    The year under review has seen the resolution of the major issue that has dominated the work of the Supervising Scientist Division over the past three years the review of scientific uncertainties associated with the environmental assessment of the proposal to mine uranium at Jabiluka. The Supervising Scientist prepared a comprehensive report on the risks associated with mining at Jabiluka, which has been under various stages of peer review by an Independent Science Panel (ISP) appointed by the WHC since May 1999. This process culminated in a visit to Australia by the ISP in July 2000 for detailed discussion and assessment and the submission of the final report of the ISP to the World Heritage Committee in September 2000. The report of the ISP was considered at the meeting of the World Heritage Committee in Cairns in December 2000. The Committee reached the conclusion that 'the currently approved proposal for the mine and mill at Jabiluka does not threaten the health of people or the biological and ecological systems of Kakadu National Park that the Mission believed to be at risk'. As a result, the WHC decided not to register Kakadu National Park on the World Heritage List in Danger. But the people of Kakadu themselves remain to be convinced. A major challenge is to gain the confidence of Aboriginal people in the integrity and independence of our scientific assessments and to reduce the concerns that they have for the future of their people and their country. Monitoring of the Jabiluka project was extensive throughout the reporting period. Chemical and biological monitoring programmes of Energy Resources of Australia (ERA) and the Environmental Research Institute of the Supervising Scientist (ERISS) demonstrated that no adverse impact occurred in downstream aquatic ecosystems. Similarly, radiological measurements close to the nearest population centre demonstrated that radiation exposure of the public due to current operations at Jabiluka is not detectable

  16. 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.

  17. 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.

  18. A hierarchical causal modeling for large industrial plants supervision

    International Nuclear Information System (INIS)

    A supervision system has to analyse the process current state and the way it will evolve after a modification of the inputs or disturbance. It is proposed to base this analysis on a hierarchy of models, witch differ by the number of involved variables and the abstraction level used to describe their temporal evolution. In a first step, special attention is paid to causal models building, from the most abstract one. Once the hierarchy of models has been build, the most detailed model parameters are estimated. Several models of different abstraction levels can be used for on line prediction. These methods have been applied to a nuclear reprocessing plant. The abstraction level could be chosen on line by the operator. Moreover when an abnormal process behaviour is detected a more detailed model is automatically triggered in order to focus the operator attention on the suspected subsystem. (authors). 11 refs., 11 figs

  19. Effects of Anxiety on Novice Genetic Counseling Students' Experience of Supervised Clinical Rotations.

    Science.gov (United States)

    MacFarlane, Ian M; McCarthy Veach, Pat; Grier, Janelle E; Meister, Derek J; LeRoy, Bonnie S

    2016-08-01

    Supervised clinical experiences with patients comprise a critical component of genetic counseling student education. Previous research has found genetic counseling students tend to be more anxiety prone than the general population, and anxiety related to supervision has been found in genetic counseling and related fields. The present study investigated how anxiety affects the experience of supervision for genetic counseling students. Second year genetic counseling students were invited to participate through email invitations distributed via training directors of the 33 programs accredited at the time of the study by the American Board of Genetic Counseling. An initial online survey contained the trait scale of the State-Trait Anxiety Inventory to estimate anxiety proneness in this population and an invitation to participate in a 45-minute semi-structured phone interview focusing on students' experiences of supervision during their clinical rotations. High and low trait anxiety groups were created using STAI scores, and the groups' interview responses were compared using consensual qualitative research methodology (CQR; Hill 2012). The high anxiety group was more likely to describe problematic supervisory relationships, appreciate the supervisor's ability to help them when they get stuck in sessions, and feel their anxiety had a negative effect on their performance in general and in supervision. Common themes included supervisors' balancing support and guidance, the importance of feedback, ego-centric responses, and supervisors as focal points. The results of the present study are largely consistent with current literature. Further research findings and research, practice, and training recommendations are provided. PMID:27098419

  20. Study and development of equipment supervision technique system and its management software for nuclear electricity production

    International Nuclear Information System (INIS)

    The equipment supervision technique system, which standardized the behavior of supervision organizations in planning and implementing of equipment supervision, is built up based on equipment supervision technique documents, such as Quality Supervision Classifications, Special Supervision Plans and Supervision Guides. Furthermore, based on the research, the equipment supervision management information system is developed by Object Oriented Programming, which consists of supervision information, supervision technique, supervision implementation, quality statistics and analysis module. (authors)

  1. 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.

  2. Automatic detection of informative frames from wireless capsule endoscopy images.

    Science.gov (United States)

    Bashar, M K; Kitasaka, T; Suenaga, Y; Mekada, Y; Mori, K

    2010-06-01

    .42% and 84.45%) with the final experiment, when compared with the same color features followed by conventional Gabor-based (78.18% and 76.29%) and discrete wavelet-based (65.43% and 63.83%) texture features. Although intra-video training-testing cases are typical choices for supervised classification in Step-1, combining a suitable number of training sets using a subset of the input videos was shown to be possible. This mixing not only reduced computation costs but also produced better detection accuracies by minimizing visual-selection errors, especially when processing large numbers of WCE videos. PMID:20137998

  3. Maximum margin semi-supervised learning with irrelevant data.

    Science.gov (United States)

    Yang, Haiqin; Huang, Kaizhu; King, Irwin; Lyu, Michael R

    2015-10-01

    Semi-supervised learning (SSL) is a typical learning paradigms training a model from both labeled and unlabeled data. The traditional SSL models usually assume unlabeled data are relevant to the labeled data, i.e., following the same distributions of the targeted labeled data. In this paper, we address a different, yet formidable scenario in semi-supervised classification, where the unlabeled data may contain irrelevant data to the labeled data. To tackle this problem, we develop a maximum margin model, named tri-class support vector machine (3C-SVM), to utilize the available training data, while seeking a hyperplane for separating the targeted data well. Our 3C-SVM exhibits several characteristics and advantages. First, it does not need any prior knowledge and explicit assumption on the data relatedness. On the contrary, it can relieve the effect of irrelevant unlabeled data based on the logistic principle and maximum entropy principle. That is, 3C-SVM approaches an ideal classifier. This classifier relies heavily on labeled data and is confident on the relevant data lying far away from the decision hyperplane, while maximally ignoring the irrelevant data, which are hardly distinguished. Second, theoretical analysis is provided to prove that in what condition, the irrelevant data can help to seek the hyperplane. Third, 3C-SVM is a generalized model that unifies several popular maximum margin models, including standard SVMs, Semi-supervised SVMs (S(3)VMs), and SVMs learned from the universum (U-SVMs) as its special cases. More importantly, we deploy a concave-convex produce to solve the proposed 3C-SVM, transforming the original mixed integer programming, to a semi-definite programming relaxation, and finally to a sequence of quadratic programming subproblems, which yields the same worst case time complexity as that of S(3)VMs. Finally, we demonstrate the effectiveness and efficiency of our proposed 3C-SVM through systematical experimental comparisons. PMID

  4. 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.

  5. Supervised Classification Methods for Seismic Phase Identification

    Science.gov (United States)

    Schneider, Jeff; Given, Jeff; Le Bras, Ronan; Fisseha, Misrak

    2010-05-01

    The Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) is tasked with monitoring compliance with the CTBT. The organization is installing the International Monitoring System (IMS), a global network of seismic, hydroacoustic, infrasound, and radionuclide sensor stations. The International Data Centre (IDC) receives the data from seismic stations either in real time or on request. These data are first processed on a station per station basis. This initial step yields discrete detections which are then assembled on a network basis (with the addition of hydroacoustic and infrasound data) to produce automatic and analyst reviewed bulletins containing seismic, hydroacoustic, and infrasound detections. The initial station processing step includes the identification of seismic and acoustic phases which are given a label. Subsequent network processing relies on this preliminary labeling, and as a consequence, the accuracy and reliability of automatic and reviewed bulletins also depend on this initial step. A very large ground truth database containing massive amounts of detections with analyst-reviewed labels is available to improve on the current operational system using machine learning methods. An initial study using a limited amount of data was conducted during the ISS09 project of the CTBTO. Several classification methods were tested: decision tree with bagging; logistic regression; neural networks trained with back-propagation; Bayesian networks as generative class models; naive Bayse classification; support vector machines. The initial assessment was that the phase identification process could be improved by at least 13% over the current operational system and that the method obtaining the best results was the decision tree with bagging. We present the results of a study using a much larger learning dataset and preliminary implementation results.

  6. 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.

  7. Automatic topic segmentation and labeling in multiparty dialogue

    OpenAIRE

    Hsueh, Pei-Yun; Moore, Johanna D.

    2006-01-01

    This study concerns how to segment a scenario-driven multiparty dialogue and how to label these segments automatically. We apply approaches that have been proposed for identifying topic boundaries at a coarser level to the problem of identifying agenda-based topic boundaries in scenario-based meetings. We also develop conditional models to classify segments into topic classes. Experiments in topic segmentation show that a supervised classification approach that combines lexical and conversati...

  8. Automatic diagnosis of retinal diseases from color retinal images

    OpenAIRE

    Jayanthi, D.; N. Devi; SwarnaParvathi, S.

    2010-01-01

    Teleophthalmology holds a great potential to improve the quality, access, and affordability in health care. For patients, it can reduce the need for travel and provide the access to a superspecialist. Ophthalmology lends itself easily to telemedicine as it is a largely image based diagnosis. The main goal of the proposed system is to diagnose the type of disease in the retina and to automatically detect and segment retinal diseases without human supervision or interaction. The proposed system...

  9. 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

  10. Best practices in nursing homes. Clinical supervision, management, and human resource practices.

    Science.gov (United States)

    Dellefield, Mary Ellen

    2008-07-01

    Human resource practices including supervision and management are associated with organizational performance. Evidence supportive of such an association in nursing homes is found in the results of numerous research studies conducted during the past 17 years. In this article, best practices related to this topic have been culled from descriptive, explanatory, and intervention studies in a range of interdisciplinary research journals published between 1990 and 2007. Identified best practices include implementation of training programs on supervision and management for licensed nurses, certified nursing assistant job enrichment programs, implementation of consistent nursing assignments, and the use of electronic documentation. Organizational barriers and facilitators of these best practices are described. PMID:20077964

  11. 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

  12. 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,…

  13. International Collaboration on Regulatory Supervision

    International Nuclear Information System (INIS)

    This paper describes the Norwegian Radiation Protection Authority's experience in regulatory cooperation projects in Russia, with special focus on legacy issues. These legacies include large waste sources, such as those used in radioisotope thermoelectric generators, and remediation of former military sites used for storage of spent nuclear fuel and radioactive waste. The objectives of the cooperation programme are to promote effective and efficient regulatory supervision, taking into account international recommendations and good practice in other countries. Specific projects in the program address specific challenges which require practical local interpretation of ICRP recommendations, the IAEA Basic Safety Standards and other IAEA requirements and guidance documents. In some cases, new regulatory documentation has been required, as well as new regulatory procedures. In the long term, the program is intended to lead to an enhanced and enduring safety culture. The positive experience in Russia has encouraged the Norwegian government in 2008 to extend the regulatory collaboration programme to countries in central Asia, using experience gained with Russian regulatory authorities as well as support from Russian Technical Support Organisations. The programmes are evolving into a regional regulatory support group. Noting this experience, the paper includes suggestions and ideas for how such regional groups can be effective in addressing common radiation safety objectives while addressing local differences in technical, geographical, economic and cultural matters in each country. (Author)

  14. Qualification of organizations for independent technical supervision

    International Nuclear Information System (INIS)

    The requirements are established on trial for the qualification of an organization as an independent technical supervision organization in nuclear facilities, in activities related with quality assurance programs. (I.C.R.)

  15. State Supervision of Mines. Annual Report 2010

    International Nuclear Information System (INIS)

    State Supervision of Mines (SSM) oversees the compliance with statutory regulations applicable to mineral exploration, extraction, storage and transport of minerals, focusing on the aspects of health, safety, the environment, effective extraction and soil movements.

  16. Weakly supervised object detection with posterior regularization

    OpenAIRE

    Hakan Bilen; Marco Pedersoli; Tinne Tuytelaars

    2014-01-01

    Bilen H., Pedersoli M., Tuytelaars T., ''Weakly supervised object detection with posterior regularization'', 25th British machine vision conference - BMVC 2014, 12 pp., September 1-5, 2014, Nottingham, UK.

  17. A new supervised non-linear mapping

    CERN Document Server

    Lespinats, Sylvain; Aupetit, Michael

    2012-01-01

    Supervised mapping methods project multi-dimensional labeled data onto a 2-dimensional space attempting to preserve both data similarities and topology of classes. Supervised mappings are expected to help the user to understand the underlying original class structure and to classify new data visually. Several methods have been designed to achieve supervised mapping, but many of them modify original distances prior to the mapping so that original data similarities are corrupted and even overlapping classes tend to be separated onto the map ignoring their original topology. We propose ClassiMap, an alternative method for supervised mapping. Mappings come with distortions which can be split between tears (close points mapped far apart) and false neighborhoods (points far apart mapped as neighbors). Some mapping methods favor the former while others favor the latter. ClassiMap switches between such mapping methods so that tears tend to appear between classes and false neighborhood within classes, better preservin...

  18. 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.

  19. Solidarity Between Colleagues in Contemporary Educational Supervision

    OpenAIRE

    TAŞDAN, Murat

    2008-01-01

    The purpose of the present paper is to determine applications of “solidarity between colleagues”, which is one of the new approaches to educational supervision and to discuss its benefits and limitations. In the study, answers to the following questions were attempted to get. What is solidarity between colleagues in contemporary educational supervision? What is solidarity between colleagues? How is it different from mentoring programs? How does solidarity between colleagues take place in supe...

  20. Intuitive expertise in ICT graduate supervision

    OpenAIRE

    Jameson, Jill

    2002-01-01

    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 enab...

  1. Weakly Supervised Scalable Audio Content Analysis

    OpenAIRE

    Kumar, Anurag; Raj, Bhiksha

    2016-01-01

    Audio Event Detection is an important task for content analysis of multimedia data. Most of the current works on detection of audio events is driven through supervised learning approaches. We propose a weakly supervised learning framework which can make use of the tremendous amount of web multimedia data with significantly reduced annotation effort and expense. Specifically, we use several multiple instance learning algorithms to show that audio event detection through weak labels is feasible...

  2. Towards a semantic-based process supervision

    OpenAIRE

    Roda, Fernando

    2014-01-01

    This thesis attempts to exploit the deductive capabilities of the semantic rea- soners to automate the supervision task through a knowledge-driven approach. With that aim, we have explored the characteristics of DL-based modeling and reasoning to support qualitative supervision methods. The emphasis have been placed in multivariate data analysis. Through them, failures are detected and diagnosed using patterns of qualitative symptoms (i.e. Fault Signatures) that involve several process variab...

  3. Deep Learning via Semi-Supervised Embedding

    OpenAIRE

    Weston, Jason; Ratle, Frédéric; Mobahi, Hossein; Collobert, Ronan; Montavon, Grégoire; Orr, Geneviève; Müller, K.-R.

    2012-01-01

    We show how nonlinear embedding algorithms popular for use with "shallow" semi-supervised learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This trick provides a simple alternative to existing approaches to deep learning whilst yielding competitive error rates compared to those methods, and existing shallow semi-supervised techniques.

  4. Musical improvisation as a method in supervision

    OpenAIRE

    Knoll, Claudia

    2016-01-01

    In my thesis I am researching the use of musical improvisation as a method in supervision. Musical improvisation derives from the technical framework of musical therapy. The meaning, possibilities and the role of musical improvisation in supervision is being researched not only theoretically but also empirically. The theoretical part of the thesis consists of the research of technical literature, which is in its wider context related to the question of the use of creative approaches and artis...

  5. Experiences of Supervision at Practice Placement Sites

    OpenAIRE

    Lesley Diack; Kathrine Gibson; Kim Munro; Alison Strath

    2014-01-01

    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 wee...

  6. 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…

  7. Teacher training program in Mathematics: a rich supervision context

    OpenAIRE

    Martins, Cristina; Santos, Leonor

    2010-01-01

    Este texto tem por base uma investigação em curso no âmbito do programa de doutoramento em Educação na especialidade de Didáctica da Matemática da primeira autora, sendo a segunda a orientadora. O estudo, de natureza qualitativa, apresenta como contexto o Programa de Formação Contínua em Matemática para Professores do 1.º Ciclo, tendo como principal objectivo verificar o contributo deste programa no desenvolvimento profissional do professor. Este programa de formação apresenta ...

  8. An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

    OpenAIRE

    Xie, Xiurui; Qu, Hong; Liu, Guisong; Zhang, Malu; Kurths, Jürgen

    2016-01-01

    The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkably well in cognitive tasks such as pattern recognition. The spike emitting and information processing mechanisms found in biological cognitive systems motivate the application of the hierarchical structure and temporal encoding mechanism in spiking neural networks, which have exhibited strong computational capability. However, the hierarchical structure and temporal encoding approach require neu...

  9. How Does Supervision Support Inclusive Teacherhood?

    Directory of Open Access Journals (Sweden)

    Sanna ALILA

    2016-03-01

    Full Text Available Supervision is a multidimensional concept and phenomenon. In this study, the advantages of supervision and its development in inclusive teacherhood was studied. Inclusive teacherhood means a teacher’s professional development and the school culture’s change toward participatory school for all students. The study analyzed the views of supervisors with a teaching background on how supervision can be a way to support inclusive teacherhood and its development. This was a qualitative research. The data were obtained using the focus-group interview method focused on supervisors with a teaching background. The interviews were conducted in five places in Finland. The analysis involved a combination of phenomenography, particularly the application called the variation theory, and the classic analysis that is typical of the focus-group research method. According to the findings, supervision provides individual and communal support to inclusive teacherhood. Individual support was given in four ways: empowering and promoting new teacherhood, clarifying teachers’ professional growth and roles, helping teachers to evaluate their work, and supporting teachers in challenges at work. Communal support was manifested as strengthening collaboration, promoting a change in the work culture of a school, and developing a communal work approach. At its best, supervision can enable teachers’ professional, communal, and personal development in an inclusive learning environment, but more time, resources, and opportunities for supervision should be arranged for teachers.

  10. 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,…

  11. 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…

  12. 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,...

  13. 20 CFR 702.407 - Supervision of medical care.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Supervision of medical care. 702.407 Section... and Supervision § 702.407 Supervision of medical care. The Director, OWCP, through the district... the Act. Such supervision shall include: (a) The requirement that periodic reports on the medical...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. Supervision in AAMFT Accredited Programs: Supervisee Perceptions and Preferences.

    Science.gov (United States)

    Brock, Gregory W.; Sibbald, Sally

    1988-01-01

    Assessed supervisees' (N=72) perceptions of supervision in American Association for Marriage and Family Therapy-accredited programs. Supervisees from 14 programs described actual and preferred supervision. Most reported mixed didactic-experiential supervision style. Supervisees considered quality of supervision good, some reported not receiving…

  20. From Old School to the Use of ICT in Supervision of Counsellor Trainees in Nigeria

    Directory of Open Access Journals (Sweden)

    Charles Ngozi Ugwuegbulam

    2013-08-01

    Full Text Available Things are changing. Better ways of doing things are been thought out and employed. Counsellor education and supervision is not left out in this wind of change. This paper specifically acknowledges this in the area of supervision of students on counselling practicum exercise. In Nigeria, counselling is taught from first degree to Ph.D. level. During the course of training of the counsellors at the first degree level, trainees are exposed to a two six-weeks practicum exercise. At the end of each of the practicum exercise, the trainee counsellors are assessed. Most times, the assessment is done post mortem from the review of tapes and reports. This paper submits that such exercises can be improved by employing the use of some ICT techniques for enhanced and more accurate assessment of trainee counsellors practicum experiences, hence the call for a shift from the old school to the use of ICT in supervision of trainee counsellors in Nigeria.

  1. A HYBRID APPROACH TO WORD SENSE DISAMBIGUATION COMBINING SUPERVISED AND UNSUPERVISED LEARNING

    Directory of Open Access Journals (Sweden)

    Alok Ranjan Pal

    2013-07-01

    Full Text Available In this paper, we are going to find meaning of words based on distinct situations. Word Sense Disambiguation is used to find meaning of words based on live contexts using supervised and unsupervised approaches. Unsupervised approaches use online dictionary for learning, and supervised approaches use manual learning sets. Hand tagged data are populated which might not be effective and sufficient for learning procedure. This limitation of information is main flaw of the supervised approach. Our proposed approach focuses to overcome the limitation using learning set which is enriched in dynamic way maintaining new data. Trivial filtering method is utilized to achieve appropriate training data. We introduce a mixed methodology having “Modified Lesk” approach and “Bag-of-Words” having enriched bags using learning methods. Our approach establishes the superiority over individual “Modified Lesk” and “Bag-of-Words” approaches based on experimentation.

  2. Hybrid Approach to Word Sense Disambiguation Combining Supervised and Unsupervised Learning

    Directory of Open Access Journals (Sweden)

    Alok Ranjan Pal

    2013-07-01

    Full Text Available In this paper, we are going to find meaning of words based on distinct situations. Word SenseDisambiguation is used to find meaning of words based on live contexts using supervised and unsupervisedapproaches. Unsupervised approaches use online dictionary for learning, and supervised approaches usemanual learning sets. Hand tagged data are populated which might not be effective and sufficient forlearning procedure. This limitation of informationis main flaw of the supervised approach. Our proposedapproach focuses to overcome the limitation using learning set which is enriched in dynamic waymaintaining new data. Trivial filtering method is utilized to achieve appropriate training data. Weintroduce a mixed methodology having “Modified Lesk” approach and “Bag-of-Words” having enrichedbags using learning methods. Our approach establishes the superiority over individual “Modified Lesk”and “Bag-of-Words” approaches based on experimentation.

  3. Relation of management, supervision, and personnel practices to nuclear power plant safety

    International Nuclear Information System (INIS)

    The knowledge base of industrial/organization psychology suggests three major areas of research with important implications for nuclear power plant safety. These areas are: Management and Supervision: Personnel Selection, Training and Placement; and Organizational Climate. Evidence drawn from several Three Mile Island investigations confirms that organizational structure of plants and supervisory practices, the selection and training of personnel, and organizational climate are important factors. Difficulties in decision making and coordination of personnel are pinpointed. Deficiencies in training are highlighted and the climate of working atmosphere is discussed. These matters are related to nuclear power plant safety. Future research directions are presented

  4. Training in anaesthesia: the US perspective.

    OpenAIRE

    Strang, T. I.; Ball, D. R.

    1996-01-01

    In the light of the recent Calman Report and the Royal College of Anaesthetists document 'Specialist training in anaesthesia, supervision and assessment', there is currently much debate concerning the future of anaesthesia training in the UK. We present a description of anaesthesia training in the US for discussion and comparison. US residency training is short and seamless. It is highly structured, but retains a capacity for specialisation. It may offer ideas for the future direction of trai...

  5. Foreign Bank Supervision and Challenges to Emerging Market Supervisors

    OpenAIRE

    In Song

    2004-01-01

    The increased presence of foreign banks in a country's domestic banking system necessitates the development of effective cross-border prudential supervision where the consolidated supervision is the essential element. This paper presents foreign bank supervision in terms of division of responsibilities between the home and host countries, consolidated supervision, quality of home-country supervision, memoranda of understanding (MOUs), and "ringfencing" of banks. A number of challenges which f...

  6. THE FINANCIAL SUPERVISION MODELS IN THE EUROPEAN COUNTRIES

    OpenAIRE

    Sorina Ioana Coroiu; Claudia Diana Sabău Popa

    2009-01-01

    In the current crisis context, more than ever, financial supervision plays a significant role. This paper presents the three main supervision models that are followed by the European countries: institutional model (banking, insurance and securities), functional model (supervision by objectives) and centralized model (single supervision authority). Each model is analyzed, trough its advantages and disadvantages. One of the main questions is about the appropriate model for financial supervision...

  7. Central Bank or Single Financial Supervision Authority: The Romanian Case

    OpenAIRE

    ALBULESCU, CLAUDIU TIBERIU

    2008-01-01

    The process of regulation and supervision of the financial system represents a pillar for the financial stability. A recent trend in the institutional framework for financial supervision is the creation of a Single Supervision Authority for the supervision of the banking sector, the insurances and the capital markets. In the financial supervision literature, a lot of arguments highlight the fact that such institutions are necessary, but there are also other valid arguments which show that the...

  8. 49 CFR 236.504 - Operation interconnected with automatic block-signal system.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Operation interconnected with automatic block... Operation interconnected with automatic block-signal system. (a) A continuous inductive automatic train stop... be so interconnected with the signal system as to perform its intended function in event of...

  9. Automatic input rectification

    OpenAIRE

    Long, Fan; Ganesh, Vijay; Carbin, Michael James; Sidiroglou, Stelios; Rinard, Martin

    2012-01-01

    We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. When given an atypical input that does not satisfy these constraints, SOAP automatically rectifies the input (i.e., changes the input so that it satisfies the learned constraints). The goal is to automatically convert potentially dangerous inputs into typical inputs that the ...

  10. 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.

  11. DEVELOPMENT AND EVALUATION OF NING SOCIAL NETWORK FOR TEACHING TRAINING ONLINE SURVEILLANCE

    OpenAIRE

    Ezad Azraai JAMSARI (Corresponding Author); Mohd Aliff MOHD NAWI, Universiti Kebangsaan Malaysia, MALAYSIA; Adibah SULAIMAN

    2013-01-01

    Supervision of teaching practice is an important aspect of training teachers in improving their teaching skills. Barriers such as distance and time factor are the constraints faced by the lecturers at the National University of Malaysia to communicate with the teacher trainees under their supervision. Therefore, this study aims to develop and evaluate a social-networking site Ning's platform for the supervision of lecturers to teach on-line training. This study used the case design where a to...

  12. 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.

  13. Automatic differentiation bibliography

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (comp.)

    1992-07-01

    This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with applications in optimization, nonlinear equations, nonlinear least squares approximation, stiff ordinary differential equation, partial differential equations, continuation methods, and sensitivity analysis. This report is an updated version of the bibliography which originally appeared in Automatic Differentiation of Algorithms: Theory, Implementation, and Application.

  14. Athletic Training Students in the College/ University Setting and the Scope of Clinical Education

    OpenAIRE

    Weidner, Thomas G.; Noble, Gary L; Pipkin, Jennifer B

    2006-01-01

    Context: Athletic training education programs must provide the proper type and amount of clinical supervision in order for athletic training students to obtain appropriate clinical education and to meet Board of Certification examination requirements.

  15. Semi-supervised classification tool for DubaiSat-2 multispectral imagery

    Science.gov (United States)

    Al-Mansoori, Saeed

    2015-10-01

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

  16. 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.

  17. Synergism in education: An innovative approach to practice teaching supervision

    Science.gov (United States)

    Mereni, Joseph Ibewuike

    1985-12-01

    The problem of effective teacher education is central to the pressing needs of Nigerian education at all levels. Scholars have identified many of them, including the general problems relating to the supervision, guidance, and evaluation of student-practice teaching. The purpose of this essay is briefly to describe an innovative approach undertaken by the Imo State School Board (Nigeria), in collaboration with the Ministry of Education, to resolve some of the problems identified. The underlying assumption is that the student teachers' internship is best conducted with closer collaboration, supervision, and guidance of the teachers. The study employed a theoretical framework synergism in education which integrated earlier studies by both American and Nigerian scholars. The concept of synergism has been defined as the combined healthy action of all `elements' of a system. Application of the theory showed how the State Ministry of Education, the State School Board, the Teacher Training Colleges and the Nigeria Union of Teachers of Imo State collectively resolved in 1980 the problems of inadequate supervisory personnel, high cost of student-teaching internship, and poor student assessment and evaluation. With the synergetic supervisory process, the functions of planning, changing, and decision-making about instructional improvement are shared, with a certain degree of power equalization, among the student teachers, supervisors, co-operating teachers, and the school executives.

  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. Opticalman 1 and C, Rate Training Manual.

    Science.gov (United States)

    Naval Personnel Program Support Activity, Washington, DC.

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

  20. 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....

  1. First-Line Supervisory Training.

    Science.gov (United States)

    West Virginia State Dept. of Education, Charleston. Bureau of Vocational, Technical, and Adult Education.

    This document contains ten information modules designed for use in an industrial supervisory training seminar. The first module focuses on the role of the supervisor. Topics include a definition of supervision and its four basic functions: planning, organizing, directing, and controlling. The second module deals with authority, power influence,…

  2. 38 CFR 21.4265 - Practical training approved as institutional training or on-job training.

    Science.gov (United States)

    2010-07-01

    ... requirement that class attendance on at least a weekly basis be regularly scheduled to provide for interaction... completion of the course, the student remains enrolled in the school during the period, and the training is... is offered by an affiliated or cooperating hospital and the student is enrolled in and supervised...

  3. SENTIMENT CLASSIFICATION OF MOVIE REVIEWS BY SUPERVISED MACHINE LEARNING APPROACHES

    Directory of Open Access Journals (Sweden)

    P.Kalaivani

    2013-08-01

    Full Text Available Large volumes of data are available in the web. The discussion forum, review sites, blogs and news corpora are some of the opinion rich resources. The opinions obtained from those can be classified and used for gathering online customer’s preferences. Techniques are being applied to design a system that identifies and classify opinions spread largely in the internet. Few different problems such as sentiment classification, feature based classification and handling negotiations are predominating this research community. This paper studies online movie reviews using sentiment analysising approaches. In this study, sentiment classification techniques wereapplied to movie reviews. Specifically, we compared three supervised machine learning approaches SVM, Navie Bayes and kNN for Sentiment Classification of Reviews. Empirical results states that SVM approachoutperformed the Navie Bayes and kNN approaches, and the training dataset had a large number of reviews, SVM approach reached accuracies of atleast 80%.

  4. Classifying Force Spectroscopy of DNA Pulling Measurements Using Supervised and Unsupervised Machine Learning Methods.

    Science.gov (United States)

    Karatay, Durmus U; Zhang, Jie; Harrison, Jeffrey S; Ginger, David S

    2016-04-25

    Dynamic force spectroscopy (DFS) measurements on biomolecules typically require classifying thousands of repeated force spectra prior to data analysis. Here, we study classification of atomic force microscope-based DFS measurements using machine-learning algorithms in order to automate selection of successful force curves. Notably, we collect a data set that has a testable positive signal using photoswitch-modified DNA before and after illumination with UV (365 nm) light. We generate a feature set consisting of six properties of force-distance curves to train supervised models and use principal component analysis (PCA) for an unsupervised model. For supervised classification, we train random forest models for binary and multiclass classification of force-distance curves. Random forest models predict successful pulls with an accuracy of 94% and classify them into five classes with an accuracy of 90%. The unsupervised method using Gaussian mixture models (GMM) reaches an accuracy of approximately 80% for binary classification. PMID:27010122

  5. 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.

  6. 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.

  7. 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.)

  8. 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...... learning opportunity is created for the PhD student as a participant in the academic discussion with her supervisors about the research methodologies. The involvement of multiple supervisors appears to enrich the learning environment and help create learning opportunity....

  9. Abusive supervision and subordinates' organizational citizenship behavior.

    Science.gov (United States)

    Zellars, Kelly L; Tepper, Bennett J; Duffy, Michelle K

    2002-12-01

    The relationship between subordinates' perceptions of abusive supervision and supervisors' evaluations of subordinates' organizational citizenship behavior (OCB) was explored among a sample of 373 Air National Guard members and their military supervisors. As predicted, the relationship between abusive supervision and subordinates' OCB was stronger among subordinates who defined OCB as extra-role behavior (compared with those defining OCB as in-role behavior), and this effect was fully mediated by the interactive effect of procedural justice and OCB role definitions. The study's implications for theory and research are discussed, its limitations are identified, and directions for future research are suggested. PMID:12558214

  10. 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.

  11. 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.

  12. The use of narrative in preparing mental health nursing staff to undertake clinical supervision

    OpenAIRE

    Lyon, Steve

    2005-01-01

    There is considerable interest in the use of narrative by healthcare professionals. This ranges from those who are exploring its use as a therapeutic method through to those who are interested in its use within research. This paper examines, through a personal reflective account, the use of narrative as a method of engaging participants in the learning process within a training programme* preparing mental health nursing staff to undertake clinical supervision. The paper suggests that the use ...

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

    OpenAIRE

    Hong Wang; Qingsong Xu; Lifeng Zhou

    2014-01-01

    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...

  14. The role of social work professional supervision in conditions of uncertainty

    OpenAIRE

    Bourn, Diana; Hafford - Letchfield, Trish

    2011-01-01

    In the UK, a number of serious case reviews within social work and social care highlighted systemic failures within care organisations, resulting in wholesale structural reforms aimed at improving services. These have combined with increased inspection and surveillance of professional practice alongside calls for more staff training and supervision. Less attention has been given to examining the cultural aspects of social care organisations that may have contributed to such failures and the ...

  15. Is object localization for free? – Weakly-supervised learning with convolutional neural networks

    OpenAIRE

    Oquab, Maxime; Bottou, Léon; Laptev, Ivan; Sivic, Josef

    2015-01-01

    Successful methods for visual object recognition typically rely on training datasets containing lots of richly annotatedimages. Detailed image annotation, e.g. by object bounding boxes, however, is both expensive and often subjective.We describe a weakly supervised convolutional neural network (CNN) for object classification that relies onlyon image-level labels, yet can learn from cluttered scenes containing multiple objects. We quantify its object classification and object location predicti...

  16. From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators

    OpenAIRE

    Upchurch, Paul; Snavely, Noah; Bala, Kavita

    2016-01-01

    We propose a new neural network architecture for solving single-image analogies - the generation of an entire set of stylistically similar images from just a single input image. Solving this problem requires separating image style from content. Our network is a modified variational autoencoder (VAE) that supports supervised training of single-image analogies and in-network evaluation of outputs with a structured similarity objective that captures pixel covariances. On the challenging task of ...

  17. 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

  18. 29 CFR 1926.21 - Safety training and education.

    Science.gov (United States)

    2010-07-01

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

  19. Semi-Supervised Classification for Fault Diagnosis in Nuclear Power Plants

    Energy Technology Data Exchange (ETDEWEB)

    Ma, Jian Ping; Jiang, Jin [University of Western Ontario, Ontario (Canada)

    2014-08-15

    Pattern classification methods have become important tools for fault diagnosis in industrial systems. However, it is normally difficult to obtain reliable labeled data to train a supervised pattern classification model for applications in a nuclear power plant (NPP). However, unlabeled data easily become available through increased deployment of supervisory, control, and data acquisition (SCADA) systems. In this paper, a fault diagnosis scheme based on semi-supervised classification (SSC) method is developed with specific applications for NPP. In this scheme, newly measured plant data are treated as unlabeled data. They are integrated with selected labeled data to train a SSC model which is then used to estimate labels of the new data. Compared to exclusive supervised approaches, the proposed scheme requires significantly less number of labeled data to train a classifier. Furthermore, it is shown that higher degree of uncertainties in the labeled data can be tolerated. The developed scheme has been validated using the data generated from a desktop NPP simulator and also from a physical NPP simulator using a graph-based SSC algorithm. Two case studies have been used in the validation process. In the first case study, three faults have been simulated on the desktop simulator. These faults have all been classified successfully with only four labeled data points per fault case. In the second case, six types of fault are simulated on the physical NPP simulator. All faults have been successfully diagnosed. The results have demonstrated that SSC is a promising tool for fault diagnosis.

  20. 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. PMID:22195225

  1. Three machine learning techniques for automatic determination of rules to control locomotion.

    Science.gov (United States)

    Jonić, S; Janković, T; Gajić, V; Popović, D

    1999-03-01

    Automatic prediction of gait events (e.g., heel contact, flat foot, initiation of the swing, etc.) and corresponding profiles of the activations of muscles is important for real-time control of locomotion. This paper presents three supervised machine learning (ML) techniques for prediction of the activation patterns of muscles and sensory data, based on the history of sensory data, for walking assisted by a functional electrical stimulation (FES). Those ML's are: 1) a multilayer perceptron with Levenberg-Marquardt modification of backpropagation learning algorithm; 2) an adaptive-network-based fuzzy inference system (ANFIS); and 3) a combination of an entropy minimization type of inductive learning (IL) technique and a radial basis function (RBF) type of artificial neural network with orthogonal least squares learning algorithm. Here we show the prediction of the activation of the knee flexor muscles and the knee joint angle for seven consecutive strides based on the history of the knee joint angle and the ground reaction forces. The data used for training and testing of ML's was obtained from a simulation of walking assisted with an FES system [39]. The ability of generating rules for an FES controller was selected as the most important criterion when comparing the ML's. Other criteria such as generalization of results, computational complexity, and learning rate were also considered. The minimal number of rules and the most explicit and comprehensible rules were obtained by ANFIS. The best generalization was obtained by the IL and RBF network. PMID:10097465

  2. 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

  3. Semi-supervised detection of intracranial pressure alarms using waveform dynamics

    International Nuclear Information System (INIS)

    Patient monitoring systems in intensive care units (ICU) are usually set to trigger alarms when abnormal values are detected. Alarms are generated by threshold-crossing rules that lead to high false alarm rates. This is a recognized issue that causes alarm fatigue, waste of human resources, and increased patient risks. Recently developed smart alarm models require alarms to be validated by experts during the training phase. The manual annotation process involved is time-consuming and virtually impossible to achieve for the thousands of alarms recorded in the ICU every week. To tackle this problem, we investigate in this study if the use of semi-supervised learning methods, that can naturally integrate unlabeled data samples in the model, can be used to improve the accuracy of the alarm detection. As a proof of concept, the detection system is evaluated on intracranial pressure (ICP) signal alarms. Specific morphological and trending features are extracted from the ICP signal waveform to capture the dynamic of the signal prior to alarms. This study is based on a comprehensive dataset of 4791 manually labeled alarms recorded from 108 neurosurgical patients. A comparative analysis is provided between kernel spectral regression (SR-KDA) and support vector machine (SVM) both modified for the semi-supervised setting. Results obtained during the experimental evaluations indicate that the two models can significantly reduce false alarms using unlabeled samples; especially in the presence of a restrained number of labeled examples. At a true alarm recognition rate of 99%, the false alarm reduction rates improved from 9% (supervised) to 27% (semi-supervised) for SR-KDA, and from 3% (supervised) to 16% (semi-supervised) for SVM. (paper)

  4. Effects of a 2-Year Supervised Exercise Program Upon the Body Composition and Muscular Performance of HIV-Infected Patients

    OpenAIRE

    Paes, Lorena da Silva; Borges, Juliana Pereira; dos Santos, Fernanda Monteiro; de Oliveira, Taciana Pinto; Dupin, Jaciara Gomes; Harris, Elizabeth Assumpção; Farinatti, Paulo

    2015-01-01

    Background : There is a lack of research investigating long-term effects of exercise training upon the body composition and muscle function in HIV-infected patients (PHIV). The study investigated the influence of a 2-year supervised exercise program on body composition and strength of PHIV under highly active antiretroviral therapy (HAART). Methods : A training program including aerobic, strength and flexibility exercises was performed by 27 PHIV (17 men/ 10 women; age: 48.7±7.0 years; HAART:...

  5. Cognitive Dissonance, Supervision, and Administrative Team Conflict

    Science.gov (United States)

    Zepeda, Sally J.

    2006-01-01

    Purpose: The purpose of this paper is to record and summarize the tensions and problems experienced by a high school administrative team as they attempted to change supervision alongside instruction in a transition to a new block schedule. Design/methodology/approach: A case study method was used. As a case study, the research is contextual in…

  6. The ViewPoint radioprotection supervision workstation

    International Nuclear Information System (INIS)

    The author briefly presents the ViewPoint supervision global solution which incorporates audio and video advanced technologies to manage radioprotection operational measurements. Data can be transmitted by-wire or wireless. It can integrate a large number of radioprotection measurement instruments, such as a belt for the monitoring of physiological parameters (body temperature, breathing rhythm, body posture)

  7. Supervision, Staff Development, and Evaluation Connections.

    Science.gov (United States)

    McQuarrie, Frank O.; Wood, Fred H.

    1991-01-01

    Examines the relationship between supervision, staff development, and teacher evaluation, discussing why educators must strive to make connections among the three, identifying important misunderstandings about them, and describing the purposes of each process and the similarities, differences, and connections between them. Together, they can be…

  8. Supervision of Operation Safety at Ignalina NPP

    International Nuclear Information System (INIS)

    Description of VATESI supervision functions during operation and maintenance of Ignalina NPP is presented. Comparison of collective exposure dose of Ignalina NPP and other organizations with previous years is made. The number of emergency outings of Ignalina NPP units during the years is presented

  9. Response of Vocational Students to Supervision.

    Science.gov (United States)

    Stogdill, Ralph M.

    The subjects were boys in two vocational high schools who had been rated by their teachers as responding favorably or unfavorably to supervision. Small groups were shown one film daily over a period of five days and discussed the role behavior of the supervisor shown in the film. In one group of experimental subjects, positive attitudes toward…

  10. 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.

  11. 23 CFR 635.105 - Supervising agency.

    Science.gov (United States)

    2010-04-01

    ... employ a consultant to provide construction engineering services, such as inspection or survey work on a... CONSTRUCTION AND MAINTENANCE Contract Procedures § 635.105 Supervising agency. (a) The STD has responsibility for the construction of all Federal-aid projects, and is not relieved of such responsibility...

  12. 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...

  13. 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.

  14. 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…

  15. 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.

  16. 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... authorize qualified persons as State Inspectors to perform the selecting and testing of participating...

  17. Interdisciplinary Doctoral Research Supervision: A Scoping Review

    Science.gov (United States)

    Vanstone, Meredith; Hibbert, Kathy; Kinsella, Elizabeth Anne; McKenzie, Pam; Pitman, Allan; Lingard, Lorelei

    2013-01-01

    This scoping literature review examines the topic of interdisciplinary doctoral research supervision. Interdisciplinary doctoral research programs are expanding in response to encouragement from funding agencies and enthusiasm from faculty and students. In an acknowledgement that the search for creative and innovative solutions to complex problems…

  18. On Kernelization of Supervised Mahalanobis Distance Learners

    OpenAIRE

    Chatpatanasiri, Ratthachat; Korsrilabutr, Teesid; Tangchanachaianan, Pasakorn; Kijsirikul, Boonserm

    2008-01-01

    This paper focuses on the problem of kernelizing an existing supervised Mahalanobis distance learner. The following features are included in the paper. Firstly, three popular learners, namely, "neighborhood component analysis", "large margin nearest neighbors" and "discriminant neighborhood embedding", which do not have kernel versions are kernelized in order to improve their classification performances. Secondly, an alternative kernelization framework called "KPCA trick" is presented. Implem...

  19. Research Supervision: The Research Management Matrix

    Science.gov (United States)

    Maxwell, T. W.; Smyth, Robyn

    2010-01-01

    We briefly make a case for re-conceptualising research project supervision/advising as the consideration of three inter-related areas: the learning and teaching process; developing the student; and producing the research project/outcome as a social practice. We use this as our theoretical base for an heuristic tool, "the research management…

  20. 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...

  1. Automatic query formulations in information retrieval.

    Science.gov (United States)

    Salton, G; Buckley, C; Fox, E A

    1983-07-01

    Modern information retrieval systems are designed to supply relevant information in response to requests received from the user population. In most retrieval environments the search requests consist of keywords, or index terms, interrelated by appropriate Boolean operators. Since it is difficult for untrained users to generate effective Boolean search requests, trained search intermediaries are normally used to translate original statements of user need into useful Boolean search formulations. Methods are introduced in this study which reduce the role of the search intermediaries by making it possible to generate Boolean search formulations completely automatically from natural language statements provided by the system patrons. Frequency considerations are used automatically to generate appropriate term combinations as well as Boolean connectives relating the terms. Methods are covered to produce automatic query formulations both in a standard Boolean logic system, as well as in an extended Boolean system in which the strict interpretation of the connectives is relaxed. Experimental results are supplied to evaluate the effectiveness of the automatic query formulation process, and methods are described for applying the automatic query formulation process in practice. PMID:10299297

  2. 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. PMID:26711510

  3. A transatlantic comparison of training in emergency medicine.

    OpenAIRE

    Wyatt, J. P.; Weber, J E

    1998-01-01

    The system of training in accident and emergency (A&E) medicine in the United Kingdom is at a critical and much earlier stage of development than in the United States. Transatlantic comparison offers the opportunity to explore possible ways of improving training in the United Kingdom. Comparison revealed deficiencies in the UK training system in the following: prehospital care training, formal theoretical teaching, close supervision in a clinical setting, and in-service training examinations....

  4. 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.

  5. 7 CFR 1902.6 - Establishing supervised bank accounts.

    Science.gov (United States)

    2010-01-01

    ... AGRICULTURE PROGRAM REGULATIONS SUPERVISED BANK ACCOUNTS Supervised Bank Accounts of Loan, Grant, and Other...) For each borrower, if the amount of any loan and grant funds, plus any borrower contributions...

  6. The supervision practice and pragmatic supervision%监理实务与务实监理

    Institute of Scientific and Technical Information of China (English)

    高奇峰

    2014-01-01

    This paper discussed systematically the supervision practice containing and pragmatic supervision methods, and emphatically illustrated the pragmatic supervision should do favor beforehand control, favor key links, parts, procedure, favor solving problem, favor details manage-ment, so as to ensure the supervision implementation of the compulsory in construction phase.%对监理实务的内含和务实监理的方法作了系统的论述,并着重说明了务实监理就要做到重事先控制、重关键环节、部位、工序、重解决问题、重细节管理,以切实履行监理在施工阶段应尽的义务。

  7. Automatic Implantable Cardiac Defibrillator

    Medline Plus

    Full Text Available Automatic Implantable Cardiac Defibrillator February 19, 2009 Halifax Health Medical Center, Daytona Beach, FL Welcome to Halifax Health Daytona Beach, Florida. Over the next hour you' ...

  8. Automatic Payroll Deposit System.

    Science.gov (United States)

    Davidson, D. B.

    1979-01-01

    The Automatic Payroll Deposit System in Yakima, Washington's Public School District No. 7, directly transmits each employee's salary amount for each pay period to a bank or other financial institution. (Author/MLF)

  9. The iOSC3 system: using ontologies and SWRL rules for intelligent supervision and care of patients with acute cardiac disorders.

    Science.gov (United States)

    Martínez-Romero, Marcos; Vázquez-Naya, José M; Pereira, Javier; Pereira, Miguel; Pazos, Alejandro; Baños, Gerardo

    2013-01-01

    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. PMID:23476717

  10. 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.

  11. Automatic Arabic Text Classification

    OpenAIRE

    Al-harbi, S; Almuhareb, A.; Al-Thubaity , A; Khorsheed, M. S.; Al-Rajeh, A.

    2008-01-01

    Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language. Text classification aims to automatically assign the text to a predefined category based on linguistic features. Such a process has different useful applications including, but not restricted to, e-mail spam detection, web page content filtering, and automatic message routing. This paper presents the results of experiments on documen...

  12. Supervision and Performance : The Case of World Bank Projects

    OpenAIRE

    Kilby, C.

    1995-01-01

    This paper explores empirical aspects of the relation between supervision and project performance. I focus on development projects funded by the World Bank and on supervision done by the World Bank. The World Bank is the preeminent international development organization both in terms of money lent and leadership; furthermore, data measuring project performance and supervision are relatively comprehensive. The link between supervision and performance is of theoretical interest because it illum...

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

    International Nuclear Information System (INIS)

    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

  14. 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.

  15. Reflective activity in the supervision of social workers

    OpenAIRE

    Āboltiņa, Līga

    2012-01-01

    Annotation of dissertation “Reflective activity in the supervision of social workers”. Supervision in Latvia is in its early stage of development, thus no reseach on its pedagogical activity providing social workers with the opportunity of professional development has been done so far. Specialists of social work are in need of pedagogically substantiated supervision. The doctoral theses studies the pedagogical aspect of the supervision process which ensures learning and facilit...

  16. Supervised and semi-supervised infant-directed speech classification for parent-infant interaction analysis

    OpenAIRE

    Mahdhaoui, Ammar; Chetouani, Mohamed

    2011-01-01

    Abstract This paper describes the development of an infant-directed speech discrimination system for parent-infant interaction analysis. Different feature sets for emotion recognition were investigated using two classification techniques: supervised and semi-supervised. The classification experiments were carried out with short pre-segmented adult-directed speech and infant-directed speech segments extracted from real-life family home movies (with durations typically between 0.5 s ...

  17. Integrated training support system for PWR operator training simulator

    International Nuclear Information System (INIS)

    The importance of operator training using operator training simulator has been recognized intensively. Since 1986, we have been developing and providing many PWR simulators in Japan. We also have developed some training support systems connected with the simulator and the integrated training support system to improve training effect and to reduce instructor's workload. This paper describes the concept and the effect of the integrated training support system and of the following sub-systems. We have PES (Performance Enhancement System) that evaluates training performance automatically by analyzing many plant parameters and operation data. It can reduce the deviation of training performance evaluation between instructors. PEL (Parameter and Event data Logging system), that is the subset of PES, has some data-logging functions. And we also have TPES (Team Performance Enhancement System) that is used aiming to improve trainees' ability for communication between operators. Trainee can have conversation with virtual trainees that TPES plays automatically. After that, TPES automatically display some advice to be improved. RVD (Reactor coolant system Visual Display) displays the distributed hydraulic-thermal condition of the reactor coolant system in real-time graphically. It can make trainees understand the inside plant condition in more detail. These sub-systems have been used in a training center and have contributed the improvement of operator training and have gained in popularity. (author)

  18. Attitudes and Satisfaction with a Hybrid Model of Counseling Supervision

    Science.gov (United States)

    Conn, Steven R.; Roberts, Richard L.; Powell, Barbara M.

    2009-01-01

    The authors investigated the relationship between type of group supervision (hybrid model vs. face-to-face) and attitudes toward technology, toward use of technology in professional practice, and toward quality of supervision among a sample of school counseling interns. Participants (N = 76) experienced one of two types of internship supervision:…

  19. 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…

  20. 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…