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...

Rethinking Educational Supervision

Directory of Open Access Journals (Sweden)

Burhanettin DÖNMEZ

2009-08-01

Full Text Available The history of educational (school supervision has been influenced by the history of the interaction of intellectual movements in politics, society, philosophy and industrial movements. The purpose of this conceptual and theoretical study is to have a brief look at the concept of educational supervision with related historical developments in the field. The paper also intends to see the terms and issues critically, and to conceptualize some issues associated with educational supervision in practice. In the paper, the issues are discussed and a number of suggestions are addressed for debate.

An Effective Supervision Model of a Standard Clause for Consumer Protection in the Business Transactions

Directory of Open Access Journals (Sweden)

M. Syamsudin

2017-03-01

Full Text Available This research aims to form an effective supervision model of a standard clause to protect consumer’s rights and interests. This study answers the questions the effectiveness of a standard clause supervision carried out by Otoritas Jasa Keuangan [Financial Services Authority (OJK] and Badan Penyelesaian Sengketa Konsumen [Consumer Dispute Settlement Agency (BPSK]; effective supervision model of a standard clause which can protect the rights and interest of the consumer. The object of this study are OJK and BPSK as a supervision of a standard clause. The result of this research shows that the supervision of standard clause done by those institutions has not been effective yet, this caused by several factors to wit the weakness of implementing regulation in terms of supervision, unclear supervision mechanism, the weakness of socialization related to the rules of standard clause towards business actors, and other weakness and obstacles faced by both institutions. The effective supervision model of standard clause is being formed that based on five points, namely: (1 the needs of institution/agency reformation who authorize to do supervision of standard clause; (2 the needs to determine the scope of duty and authority of standard clause supervision institution; (3 the needs of determination of material range about standard clause subjected to supervision which comprises: the content, the form, the position and the expression; (4 the needs of precise mechanism of standard clause supervision conducted by supervision institution; (5 the needs of following up the supervision results, especially to the business actors who break the standard clause rules.

Spectral Learning for Supervised Topic Models.

Science.gov (United States)

Ren, Yong; Wang, Yining; Zhu, Jun

2018-03-01

Supervised topic models simultaneously model the latent topic structure of large collections of documents and a response variable associated with each document. Existing inference methods are based on variational approximation or Monte Carlo sampling, which often suffers from the local minimum defect. Spectral methods have been applied to learn unsupervised topic models, such as latent Dirichlet allocation (LDA), with provable guarantees. This paper investigates the possibility of applying spectral methods to recover the parameters of supervised LDA (sLDA). We first present a two-stage spectral method, which recovers the parameters of LDA followed by a power update method to recover the regression model parameters. Then, we further present a single-phase spectral algorithm to jointly recover the topic distribution matrix as well as the regression weights. Our spectral algorithms are provably correct and computationally efficient. We prove a sample complexity bound for each algorithm and subsequently derive a sufficient condition for the identifiability of sLDA. Thorough experiments on synthetic and real-world datasets verify the theory and demonstrate the practical effectiveness of the spectral algorithms. In fact, our results on a large-scale review rating dataset demonstrate that our single-phase spectral algorithm alone gets comparable or even better performance than state-of-the-art methods, while previous work on spectral methods has rarely reported such promising performance.

What influences palliative care nurses in their choice to engage in or decline clinical supervision?

Science.gov (United States)

Puffett, Nick; Perkins, Paul

2017-11-02

Clinical supervision (CS) has been around since the early 1990s in the UK and has been endorsed by government and professional bodies. Levels of engagement range from 18% to 85%. To investigate what influences palliative care nurses in their choice to engage in or decline clinical supervision. A qualitative study was undertaken in an inpatient hospice in England and employed two focus groups to compare the views of participants and non-participants in CS. Data were audio recorded and transcribed verbatim by the researchers and analysed using systematic text condensation. Palliative care nurses all used informal team support for 'in the moment' support. Some engaged in formal CS to reflect 'on action' and to challenge practice. Nurses reported a lack of clarity regarding CS but, once this was overcome and engagement with CS was established, it led to changes in practice, identification of training needs and team building. The option of choice between group and individual supervision was found to be important. Group supervision led to enhanced understanding of group members which also led to team building, individual sessions were useful for individual issues. Protected time was essential for staff to be able to engage in CS. Staff who worked in larger teams reported higher levels of engagement, whereas a small team reported less need due to more informal team support. These findings are positive as they illuminate the importance of choice for support. Nurses need to be aware of their options for support and ultimately how this support affects the care they provide. The Palliative Care Nurse's Model of Support was developed, which shows the effects of each choice and how this may lead to team-building.

Supervised Gaussian mixture model based remote sensing image ...

African Journals Online (AJOL)

Using the supervised classification technique, both simulated and empirical satellite remote sensing data are used to train and test the Gaussian mixture model algorithm. For the purpose of validating the experiment, the resulting classified satellite image is compared with the ground truth data. For the simulated modelling, ...

THE COMPARISON OF BANKING SUPERVISION MODEL IN INDONESIA, UNITED KINGDOM, SOUTH KOREA AS EFORTS TO IMPROVE INDONESIAN SUPERVISION SYSTEM

Directory of Open Access Journals (Sweden)

Sulistyandari

2015-05-01

Full Text Available This study aims to revise banking supervision by conducting comparative studies research model of banking supervision in Indonesia, the UK, South Korea and the aspirations of the respondents (Bank, OJK, theorist in Central Java on efforts to improve banking supervision is now done in Indonesia. The results show Indonesian comparison with the UK and South Korea gives the idea that the OJK in charge of education and consumer protection to enhance its role as practiced by the FCA in the UK, and the LPS assignments need to be expanded in order to ensure that all consumers of financial institutions as was done by the FSCS in the UK and KDIC in South Korea. Aspirations of the people of the regulation and supervision of banking include aspects of regulatory, law enforcement, infrastructure, community (the Bank and culture.

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,"…

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...

Multi combined Adlerian supervision in Counseling

OpenAIRE

Gungor, Abdi

2017-01-01

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

Group supervision for general practitioners

DEFF Research Database (Denmark)

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

2013-01-01

AIM: Group supervision is a sparsely researched method for professional development in general practice. The aim of this study was to explore general practitioners' (GPs') experiences of the benefits of group supervision for improving the treatment of mental disorders. METHODS: One long-establish......AIM: Group supervision is a sparsely researched method for professional development in general practice. The aim of this study was to explore general practitioners' (GPs') experiences of the benefits of group supervision for improving the treatment of mental disorders. METHODS: One long...... considered important prerequisites for disclosing and discussing professional problems. CONCLUSION: The results of this study indicate that participation in a supervision group can be beneficial for maintaining and developing GPs' skills in dealing with patients with mental health problems. Group supervision...... influenced other areas of GPs' professional lives as well. However, more studies are needed to assess the impact of supervision groups....

Antecedents and outcomes of abusive supervision: test of a trickle-down model.

Science.gov (United States)

Aryee, Samuel; Chen, Zhen Xiong; Sun, Li-Yun; Debrah, Yaw A

2007-01-01

The authors examined antecedents of abusive supervision and the relative importance of interactional and procedural justice as mediators of the relationship between abusive supervision and the work outcomes of affective organizational commitment and individual- and organization-directed citizenship behaviors. Data were obtained from subordinate-supervisor dyads from a telecommunication company located in southeastern China. Results of moderated regression analysis revealed that authoritarian leadership style moderated the relationship between supervisors' perceptions of interactional justice and abusive supervision such that the relationship was stronger for supervisors high rather than low in authoritarian leadership style. In addition, results of structural equation modeling analysis revealed that subordinates' perceptions of interactional but not procedural justice fully mediated the relationship between abusive supervision and the work outcomes. Implications for future investigations of abusive supervision are discussed. 2007 APA, all rights reserved

Human semi-supervised learning.

Science.gov (United States)

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

2013-01-01

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

Man-machine supervision; Supervision homme-machine

Energy Technology Data Exchange (ETDEWEB)

Montmain, J. [CEA Valrho, Dir. de l' Energie Nucleaire (DEN), 30 - Marcoule (France)

2005-05-01

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

Adaptive supervision: a theoretical model for social workers.

Science.gov (United States)

Latting, J E

1986-01-01

Two models of leadership styles are prominent in the management field: Blake and Mouton's managerial Grid and Hersey and Blanchard's Situational Leadership Model. Much of the research on supervisory styles in social work has been based on the former. A recent public debate between the two sets of theorists suggests that both have strengths and limitations. Accordingly, an adaptive model of social work supervision that combines elements of both theories is proposed.

Learning Supervised Topic Models for Classification and Regression from Crowds.

Science.gov (United States)

Rodrigues, Filipe; Lourenco, Mariana; Ribeiro, Bernardete; Pereira, Francisco C

2017-12-01

The growing need to analyze large collections of documents has led to great developments in topic modeling. Since documents are frequently associated with other related variables, such as labels or ratings, much interest has been placed on supervised topic models. However, the nature of most annotation tasks, prone to ambiguity and noise, often with high volumes of documents, deem learning under a single-annotator assumption unrealistic or unpractical for most real-world applications. In this article, we propose two supervised topic models, one for classification and another for regression problems, which account for the heterogeneity and biases among different annotators that are encountered in practice when learning from crowds. We develop an efficient stochastic variational inference algorithm that is able to scale to very large datasets, and we empirically demonstrate the advantages of the proposed model over state-of-the-art approaches.

The Influence of Fees on Supervision of Licensed Professional Counselor Interns in Texas: A Mixed-Methods Study

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Stark, Marcella Dortch

2010-01-01

Purpose. The purpose of this study was to explore the influence of payment status on perceptions of Licensed Professional Counselor (LPC) Interns regarding aspects of the supervisory relationship. Method. Survey responses from 230 LPC Interns in Texas were collected using SurveyMonkey[TM] (2009) to examine how supervision fees influence: (a)…

Influence of surgeon's experience and supervision on re-operation rate after hip fracture surgery

DEFF Research Database (Denmark)

Palm, Henrik; Jacobsen, Steffen; Krasheninnikoff, Michael

2006-01-01

rehabilitation programme, between 2002 and 2004. Re-operation rate was assessed 6 months postoperatively. Surgeons were grouped as unsupervised junior registrars versus experienced surgeons operating or supervising. Fractures were stratified as technically undemanding or demanding. RESULTS: Unsupervised junior......OBJECTIVE: To investigate the influence of the performing surgeon's experience and degree of supervision on re-operation rate among patients admitted with a proximal femoral fracture (PFF). METHODS: Prospective study of 600 consecutive patients with proximal femoral fracture in our multimodal...... registrars operated on 23% (137/600) of all and 15% (56/365) of technically demanding proximal femoral fractures. The latter had a higher re-operation rate within 6 months, compared with the rate when more experienced surgeons were present. In logistic regression analysis combining age, gender, American...

Principles and models of a co-operative systems of a supervision aid; SCAS: principes et modeles d`un systeme cooperatif d`assistance a la supervision

Energy Technology Data Exchange (ETDEWEB)

Penalva, J.M. [CEA Centre d`Etudes de la Vallee du Rhone, 30 - Marcoule (France). Dept. d`Exploitation du Retraitement et de Demantelement; Cases, E. [CEA Centre d`Etudes de la Vallee du Rhone, 30 - Marcoule (France). Dept. d`Exploitation du Retraitement et de Demantelement]|[Paris-6 Univ., 75 (France); Brezillon, P. [Paris-6 Univ., 75 (France); Minault, S.

1994-12-31

This paper presents the functioning principles and the necessary models for a cooperative system of supervision aid (SCAS) used for a high-automated workshop. A meta-system of supervision is made up of the operator and the SCAS. The SCAS can operate under 2 different modes: wakefulness and cooperation. On the first one the behaviours of the process and the operator is observed and analysed. On the second one, it helps to solve the problems occurred by the operator. (TEC). 3 refs.

Ensemble learning with trees and rules: supervised, semi-supervised, unsupervised

Science.gov (United States)

In this article, we propose several new approaches for post processing a large ensemble of conjunctive rules for supervised and semi-supervised learning problems. We show with various examples that for high dimensional regression problems the models constructed by the post processing the rules with ...

The Influence of Supervisor Multicultural Competence on the Supervisory Working Alliance, Supervisee Counseling Self-efficacy, and Supervisee Satisfaction with Supervision: A Mediation Model

Science.gov (United States)

Crockett, Stephanie; Hays, Danica G.

2015-01-01

We developed and tested a mediation model depicting relationships among supervisor multicultural competence, the supervisory working alliance, supervisee counseling self-efficacy, and supervisee satisfaction with supervision. Results of structural equation modeling showed that supervisor multicultural competence was related to the supervisory…

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

Science.gov (United States)

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

2018-01-01

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

Investigating the LGBTQ Responsive Model for Supervision of Group Work

Science.gov (United States)

Luke, Melissa; Goodrich, Kristopher M.

2013-01-01

This article reports an investigation of the LGBTQ Responsive Model for Supervision of Group Work, a trans-theoretical supervisory framework to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons (Goodrich & Luke, 2011). Findings partially supported applicability of the LGBTQ Responsive Model for Supervision…

Online supervision at the university

DEFF Research Database (Denmark)

Bengtsen, Søren Smedegaard; Jensen, Gry Sandholm

2015-01-01

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

A Creative Therapies Model for the Group Supervision of Counsellors.

Science.gov (United States)

Wilkins, Paul

1995-01-01

Sets forth a model of group supervision, drawing on a creative therapies approach which provides an effective way of delivering process issues, conceptualization issues, and personalization issues. The model makes particular use of techniques drawn from art therapy and from psychodrama, and should be applicable to therapists of many orientations.…

Supervised Convolutional Sparse Coding

KAUST Repository

Affara, Lama Ahmed

2018-04-08

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

Online supervision at the university - A comparative study of supervision on student assignments face-to-face and online

Directory of Open Access Journals (Sweden)

Søren Smedegaard Bengtsen

2015-09-01

Full Text Available Through an empirical study of supervision on student assignments at the university across face-to-face and online settings, we show firstly the limiting implications of traditional dichotomies between face-to-face and online supervision. Secondly we show that more attention must be given to the way different digital tools influence the supervisory dialogue. These findings illustrate a form of ‘torn pedagogy’; that online tools and platforms destabilize and tear traditional understandings of supervision pedagogy apart. Also we forge a new concept of “format supervision” that enables supervisors to understand and reflect their supervision practice as a deliberate choice between face-to-face and online formats.

Online supervision at the university - A comparative study of supervision on student assignments face-to-face and online

Directory of Open Access Journals (Sweden)

Søren Smedegaard Bengtsen

2015-02-01

Full Text Available Through an empirical study of supervision on student assignments at the university across face-to-face and online settings, we show firstly the limiting implications of traditional dichotomies between face-to-face and online supervision. Secondly we show that more attention must be given to the way different digital tools influence the supervisory dialogue. These findings illustrate a form of ‘torn pedagogy’; that online tools and platforms destabilize and tear traditional understandings of supervision pedagogy apart. Also we forge a new concept of “format supervision” that enables supervisors to understand and reflect their supervision practice as a deliberate choice between face-to-face and online formats.

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.

Postgraduate research supervision in a socially distributed ...

African Journals Online (AJOL)

Postgraduate supervision is a higher education practice with a long history. Through the conventional "apprenticeship" model postgraduate supervision has served as an important vehicle of intellectual inheritance between generations. However, this model of supervision has come under scrutiny as a consequence of the ...

Doctoral learning: a case for a cohort model of supervision and support

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Naydene de Lange

2011-01-01

Full Text Available We document the efforts of the faculty of education of a large research-oriented university in supporting doctoral learning. The development of a space for doctoral learning is in line with the need to develop a community of researchers in South Africa. We describe the historical origins of this cohort model of doctoral supervision and support, draw on literature around doctoral learning, and analyse a cohort of doctoral students' evaluation of the seminarsoverthree years. The findings indicate that the model has great value in developing scholarship and reflective practice in candidates, in providing support and supervision, and in sustaining students towards the completion of their doctorates.

Model of Supervision Based on Primary School Teacher Professional Competency in Tematic Learning in Curriculum 2013

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Meilani Hartono

2017-08-01

Full Text Available This study aims to find the Supervision Model Based on Primary Teacher Professional Competence which effective on integrated learning. This study use research and development with qualitative approach which will be carried out in the Palmerah, West Jakarta. The techniques used to collect data are interviews, questionnaires, observation and documentation. Data v alidity is tested with credibility, transferability, dependability, and comfortability. The model developed will be validated using the Delphi technique. The result of this research is the discovery of the model and device-based supervision model of professional competence of primary teachers in integrated learning. The long-term goal of this research is to improve the teachers’ competence and the supervision quality for primary teachers in integrated learning

Advanced Music Therapy Supervision Training

DEFF Research Database (Denmark)

Pedersen, Inge Nygaard

2009-01-01

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

A review of the literature to inform a best-practice clinical supervision model for midwifery students in Australia.

Science.gov (United States)

McKellar, Lois; Graham, Kristen

2017-05-01

Effective clinical supervision in midwifery programs leading to registration is essential to ensure that students can provide safe and competent woman centred care by the completion of their program. A number of different clinical supervision models exist in Australia and internationally, with varying levels of support and facilitation of student learning opportunities. In Australia, midwifery students must achieve specified learning outcomes and midwifery practice requirements to be eligible to register as a midwife. Identifying a best practice clinical supervision model for Australian midwifery students is therefore a priority for all key stakeholders, particularly education and maternity care providers. The aim of this literature review was to explore different types of clinical supervision models in order to develop and implement a best practice model in midwifery education programs. Copyright © 2016 Elsevier Ltd. All rights reserved.

Professional Supervision as Storied Experience: Narrative Analysis Findings for Australian-Based Registered Music Therapists.

Science.gov (United States)

Kennelly, Jeanette D; Baker, Felicity A; Daveson, Barbara A

2017-03-01

Limited research exists to inform a music therapist's supervision story from their pre-professional training to their practice as a professional. Evidence is needed to understand the complex nature of supervision experiences and their impact on professional practice. This qualitative study explored the supervisory experiences of Australian-based Registered Music Therapists, according to the: 1) themes that characterize their experiences, 2) influences of the supervisor's professional background, 3) outcomes of supervision, and 4) roles of the employer, the professional music therapy association, and the university in supervision standards and practice. Seven professionals were interviewed for this study. Five stages of narrative analysis were used to create their supervision stories: a life course graph, narrative psychological analysis, component story framework and narrative analysis, analysis of narratives, and final integration of the seven narrative summaries. Findings revealed that supervision practice is influenced by a supervisee's personal and professional needs. A range of supervision models or approaches is recommended, including the access of supervisors from different professional backgrounds to support each stage of learning and development. A quality supervisory experience facilitates shifts in awareness and insight, which results in improved or increased skills, confidence, and accountability of practice. Participants' concern about stakeholders included a limited understanding of the role of the supervisor, a lack of clarity about accountability of supervisory practice, and minimal guidelines, which monitor professional competencies. The benefits of supervision in music therapy depend on the quality of the supervision provided, and clarity about the roles of those involved. Research and guidelines are recommended to target these areas. © the American Music Therapy Association 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Cultural Humility in Psychotherapy Supervision.

Science.gov (United States)

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

2016-01-01

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

Influence of surgeon's experience and supervision on re-operation rate after hip fracture surgery

DEFF Research Database (Denmark)

Palm, Henrik; Jacobsen, Steffen; Krasheninnikoff, Michael

2006-01-01

OBJECTIVE: To investigate the influence of the performing surgeon's experience and degree of supervision on re-operation rate among patients admitted with a proximal femoral fracture (PFF). METHODS: Prospective study of 600 consecutive patients with proximal femoral fracture in our multimodal...... Society of Anaesthesiologists score, New Mobility Score, time to surgery and type of implant, surgery by unsupervised junior registrars was still a significant independent risk factor for re-operation in technically demanding proximal femoral fractures. CONCLUSION: Unsupervised junior registrars should...

The role of Effective Supervision on academic performance of Senior High Schools in Ghana

Directory of Open Access Journals (Sweden)

Vera Rosemary Ankoma-Sey

2016-04-01

Full Text Available In all facets of life, supervision has become a cross-cutting edge tool and a pivot around which performance revolves. There are widespread and on-going debates centred on the influence of effective supervision on academic performance in our academic institutions. This study examined the role of supervision on academic performance in Senior High Schools (SHS in Ghana. The study was based on the collegial model of educational management and the supervision model, Theory Y as proposed by Douglas McGregor. This study employed the descriptive research survey design. Through a questionnaire, data analysed was collected from 963 respondents who were purposively selected from randomised schools in each region comprising of headmasters, their assistants and heads of department of 155 SHSs across Ghana. The WAEC results (2006-2009 and 2011 of the sampled schools were analysed. Reliability coefficient of the questionnaire was Cronbach’s alpha (α = 0.826. The Statistical Product and Service Solutions (SPSS version 18 software was employed in the analyses of data using, mean, standard deviation, correlation and independent t-test. The study revealed that there was a positive weak significant relationship between supervision roles of heads and academic performance of students. Moreso, there was a positive weak significant relationship between gender of heads and their supervision roles. The study recommended that supervision should be intensified in SHS. Heads of SHS should be re-orientated in the new trends of supervision in schools.

Semi-Supervised Generation with Cluster-aware Generative Models

DEFF Research Database (Denmark)

Maaløe, Lars; Fraccaro, Marco; Winther, Ole

2017-01-01

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

How do we know what makes for "best practice" in clinical supervision for psychological therapists? A content analysis of supervisory models and approaches.

Science.gov (United States)

Simpson-Southward, Chloe; Waller, Glenn; Hardy, Gillian E

2017-11-01

Clinical supervision for psychotherapies is widely used in clinical and research contexts. Supervision is often assumed to ensure therapy adherence and positive client outcomes, but there is little empirical research to support this contention. Regardless, there are numerous supervision models, but it is not known how consistent their recommendations are. This review aimed to identify which aspects of supervision are consistent across models, and which are not. A content analysis of 52 models revealed 71 supervisory elements. Models focus more on supervisee learning and/or development (88.46%), but less on emotional aspects of work (61.54%) or managerial or ethical responsibilities (57.69%). Most models focused on the supervisee (94.23%) and supervisor (80.77%), rather than the client (48.08%) or monitoring client outcomes (13.46%). Finally, none of the models were clearly or adequately empirically based. Although we might expect clinical supervision to contribute to positive client outcomes, the existing models have limited client focus and are inconsistent. Therefore, it is not currently recommended that one should assume that the use of such models will ensure consistent clinician practice or positive therapeutic outcomes. There is little evidence for the effectiveness of supervision. There is a lack of consistency in supervision models. Services need to assess whether supervision is effective for practitioners and patients. Copyright © 2017 John Wiley & Sons, Ltd.

Man-machine supervision

International Nuclear Information System (INIS)

Montmain, J.

2005-01-01

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

Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns.

Science.gov (United States)

Matsubara, Takashi

2017-01-01

Precise spike timing is considered to play a fundamental role in communications and signal processing in biological neural networks. Understanding the mechanism of spike timing adjustment would deepen our understanding of biological systems and enable advanced engineering applications such as efficient computational architectures. However, the biological mechanisms that adjust and maintain spike timing remain unclear. Existing algorithms adopt a supervised approach, which adjusts the axonal conduction delay and synaptic efficacy until the spike timings approximate the desired timings. This study proposes a spike timing-dependent learning model that adjusts the axonal conduction delay and synaptic efficacy in both unsupervised and supervised manners. The proposed learning algorithm approximates the Expectation-Maximization algorithm, and classifies the input data encoded into spatio-temporal spike patterns. Even in the supervised classification, the algorithm requires no external spikes indicating the desired spike timings unlike existing algorithms. Furthermore, because the algorithm is consistent with biological models and hypotheses found in existing biological studies, it could capture the mechanism underlying biological delay learning.

Institutional Arrangement of Financial Markets Supervision: The Case of the Czech Republic

OpenAIRE

Musílek, Petr

2008-01-01

The paper deals with institutional arrangement of financial supervision in the Czech Republic. Financial markets are composed of partial financial segments specialized in individual types of financial instruments and individual customer groups. Financial institutions gradually transform into financial supermarkets. There are several models of institutional arrangement of financial supervision (integrated financial supervision model, sectional financial supervision model, financial supervision...

Psychiatric nursing menbers' reflections on participating in group-based clinical supervision

DEFF Research Database (Denmark)

Buus, Niels; Angel, Sanne; Traynor, Michael

2011-01-01

This paper is a report of an interview study exploring psychiatric hospital nursing staff members' reflections on participating in supervision. Clinical supervision is a pedagogical process designed to direct, develop, and support clinical nurses. Participation rates in clinical supervision...... they influence participation rates. Twenty-two psychiatric hospital nursing staff members were interviewed with a semistructured interview guide. Interview transcripts were interpreted by means of Ricoeur's hermeneutic method. The respondents understood clinical supervision to be beneficial, but with very...

Fitting multistate transition models with autoregressive logistic regression : Supervised exercise in intermittent claudication

NARCIS (Netherlands)

de Vries, S O; Fidler, Vaclav; Kuipers, Wietze D; Hunink, Maria G M

1998-01-01

The purpose of this study was to develop a model that predicts the outcome of supervised exercise for intermittent claudication. The authors present an example of the use of autoregressive logistic regression for modeling observed longitudinal data. Data were collected from 329 participants in a

Risk-oriented banking supervision: understanding change of course

Directory of Open Access Journals (Sweden)

Vlasov K. A.

2017-11-01

Full Text Available in this article the existing model of national bank supervision, its substantial party are considered. By means of the legal analysis and comparative jurisprudence foreign models of bank supervision, the international standards of the «soft» right are investigated, the analysis of an opportunity and positive sides of change of approach of the operating bank supervision to substantial (risk-focused is made.

Nursing supervision for care comprehensiveness

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Lucieli Dias Pedreschi Chaves

Full Text Available ABSTRACT Objective: To reflect on nursing supervision as a management tool for care comprehensiveness by nurses, considering its potential and limits in the current scenario. Method: A reflective study based on discourse about nursing supervision, presenting theoretical and practical concepts and approaches. Results: Limits on the exercise of supervision are related to the organization of healthcare services based on the functional and clinical model of care, in addition to possible gaps in the nurse training process and work overload. Regarding the potential, researchers emphasize that supervision is a tool for coordinating care and management actions, which may favor care comprehensiveness, and stimulate positive attitudes toward cooperation and contribution within teams, co-responsibility, and educational development at work. Final considerations: Nursing supervision may help enhance care comprehensiveness by implying continuous reflection on including the dynamics of the healthcare work process and user needs in care networks.

Supervision as transformative leadership in the context of university ...

African Journals Online (AJOL)

This article discusses different models of supervision and promotion of Masters', Doctoral and PhD students. It argues that leadership is inherent in and underpins any model of supervision or promotion of students. The article advances a view that supervision and promotion of the said students should be transformative ...

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...... as well as at Aalborg University. The first visible result has been participating supervisors telling us that the course has inspired them to try supervising group dynamics in the future. This paper will explore some aspects of supervising group dynamics as well as, how to develop the Aalborg model...

Efficacy of clinical supervision: influence on job satisfaction, burnout and quality of care.

Science.gov (United States)

Hyrkäs, Kristiina; Appelqvist-Schmidlechner, Kaija; Haataja, Riina

2006-08-01

This paper reports a study to determine how supervisees' backgrounds and surrounding infrastructure predict the efficacy of clinical supervision among Finnish nursing staff, their job satisfaction, levels of burnout and perceptions of the quality of care. Several studies have described the effects of clinical supervision, but few have focused on evaluating it. Until recently, no studies have examined how clinical supervision evaluations are related to supervisees' backgrounds, surrounding infrastructure or respondents' levels of burnout, job satisfaction and perceptions of the quality of care. The survey involved supervisees completing a range of standardized and validated evaluation measures. The respondents were identified from 12 regional, central and university hospitals across Finland (n = 799). The data collection took place from October 2000 to February 2001. The evaluations varied statistically significantly and were associated with statistically significant variations in the respondents' backgrounds. Clinical supervision infrastructure was also strongly related to evaluation scores. Supervisees' age, education, gender, employment status, area of specialty, working hours, work experience and experience as a supervisor were statistically significant predictors for evaluations of the efficacy of clinical supervision. These evaluations of clinical supervision were also found to predict the respondents' job satisfaction, levels of burnout and assessments of good nursing. Nursing staff, especially those who have over 10 years' work experience, work in general care, have a nursing diploma, are non-tenured, work part-time and work 24-hour rotating shifts can benefit from clinical supervision. However, resources need to be invested in supervisor education and nursing staff need to be encouraged to start working in both supervisor and supervisee roles because of the positive effects on job satisfaction and quality of care.

Framing doctoral supervision as formative assessment

DEFF Research Database (Denmark)

Kobayashi, Sofie

Doctoral supervision has been described through a number of models useful for understanding different aspects of supervision. None of these are all-encompassing, but each emphasizes a particular perspective, like the relationship, personal vs. structural support, process vs. product orientation. ...

Supervised chaos genetic algorithm based state of charge determination for LiFePO4 batteries in electric vehicles

Science.gov (United States)

Shen, Yanqing

2018-04-01

LiFePO4 battery is developed rapidly in electric vehicle, whose safety and functional capabilities are influenced greatly by the evaluation of available cell capacity. Added with adaptive switch mechanism, this paper advances a supervised chaos genetic algorithm based state of charge determination method, where a combined state space model is employed to simulate battery dynamics. The method is validated by the experiment data collected from battery test system. Results indicate that the supervised chaos genetic algorithm based state of charge determination method shows great performance with less computation complexity and is little influenced by the unknown initial cell state.

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

Science.gov (United States)

Gönen, Mehmet

2014-03-01

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

Online Supervision: A Theory of Supervisors' Strategic Communicative Influence on Student Dissertations

Science.gov (United States)

Augustsson, Gunnar; Jaldemark, Jimmy

2014-01-01

Online supervision mainly focuses on written communication and electronic drafts, while offline supervision comprises physical and social clues, verbal communication, and drafts of texts. This article focuses on supervisors' written online communication about drafts of undergraduate student dissertations. Theoretically, these utterances form…

Exploring Organizational Barriers to Strengthening Clinical Supervision of Psychiatric Nursing Staff

DEFF Research Database (Denmark)

Gonge, Henrik; Buus, Niels

2016-01-01

This article reports findings from a longitudinal controlled intervention study of 115 psychiatric nursing staff. The twofold objective of the study was: (a) To test whether the intervention could increase clinical supervision participation and effectiveness of existing supervision practices, and...... in the experienced effectiveness of supervision. It is concluded that organizational support is an imperative for implementation of clinical supervision......., and (b) To explore organizational constraints to implementation of these strengthened practices. Questionnaire responses and registration of participation in clinical supervision were registered prior and subsequent to the intervention consisting of an action learning oriented reflection on staff......'s existing clinical supervision practices. Major organizational changes in the intervention group during the study period obstructed the implementation of strengthened clinical supervision practices, but offered an opportunity for studying the influences of organizational constraints. The main findings were...

Nonparametric Mixture Models for Supervised Image Parcellation.

Science.gov (United States)

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

2009-09-01

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

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

Directory of Open Access Journals (Sweden)

Hermansyah Hermansyah

2016-06-01

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

A hierarchical causal modeling for large industrial plants supervision

International Nuclear Information System (INIS)

Dziopa, P.; Leyval, L.

1994-01-01

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

Front-line managers as boundary spanners: effects of span and time on nurse supervision satisfaction.

Science.gov (United States)

Meyer, Raquel M; O'Brien-Pallas, Linda; Doran, Diane; Streiner, David; Ferguson-Paré, Mary; Duffield, Christine

2011-07-01

To examine the influence of nurse manager span (number of direct report staff), time in staff contact, transformational leadership practices and operational hours on nurse supervision satisfaction. Increasing role complexity has intensified the boundary spanning functions of managers. Because work demands and scope vary by management position, time in staff contact rather than span may better explain managers' capacity to support staff. A descriptive, correlational design was used to collect cross-sectional survey and prospective work log and administrative data from a convenience sample of 558 nurses in 51 clinical areas and 31 front-line nurse managers from four acute care hospitals in 2007-2008. Data were analysed using hierarchical linear modelling. Span, but not time in staff contact, interacted with leadership and operational hours to explain supervision satisfaction. With compressed operational hours, supervision satisfaction was lower with highly transformational leadership in combination with wider spans. With extended operational hours, supervision satisfaction was higher with highly transformational leadership, and this effect was more pronounced under wider spans. Operational hours, which influence the manager's daily span (average number of direct report staff working per weekday), should be factored into the design of front-line management positions. © 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Ltd.

Effects of coaching supervision, mentoring supervision and abusive supervision on talent development among trainee doctors in public hospitals: moderating role of clinical learning environment.

Science.gov (United States)

Subramaniam, Anusuiya; Silong, Abu Daud; Uli, Jegak; Ismail, Ismi Arif

2015-08-13

Effective talent development requires robust supervision. However, the effects of supervisory styles (coaching, mentoring and abusive supervision) on talent development and the moderating effects of clinical learning environment in the relationship between supervisory styles and talent development among public hospital trainee doctors have not been thoroughly researched. In this study, we aim to achieve the following, (1) identify the extent to which supervisory styles (coaching, mentoring and abusive supervision) can facilitate talent development among trainee doctors in public hospital and (2) examine whether coaching, mentoring and abusive supervision are moderated by clinical learning environment in predicting talent development among trainee doctors in public hospital. A questionnaire-based critical survey was conducted among trainee doctors undergoing housemanship at six public hospitals in the Klang Valley, Malaysia. Prior permission was obtained from the Ministry of Health Malaysia to conduct the research in the identified public hospitals. The survey yielded 355 responses. The results were analysed using SPSS 20.0 and SEM with AMOS 20.0. The findings of this research indicate that coaching and mentoring supervision are positively associated with talent development, and that there is no significant relationship between abusive supervision and talent development. The findings also support the moderating role of clinical learning environment on the relationships between coaching supervision-talent development, mentoring supervision-talent development and abusive supervision-talent development among public hospital trainee doctors. Overall, the proposed model indicates a 26 % variance in talent development. This study provides an improved understanding on the role of the supervisory styles (coaching and mentoring supervision) on facilitating talent development among public hospital trainee doctors. Furthermore, this study extends the literature to better

Deep supervised, but not unsupervised, models may explain IT cortical representation.

Directory of Open Access Journals (Sweden)

Seyed-Mahdi Khaligh-Razavi

2014-11-01

Full Text Available Inferior temporal (IT cortex in human and nonhuman primates serves visual object recognition. Computational object-vision models, although continually improving, do not yet reach human performance. It is unclear to what extent the internal representations of computational models can explain the IT representation. Here we investigate a wide range of computational model representations (37 in total, testing their categorization performance and their ability to account for the IT representational geometry. The models include well-known neuroscientific object-recognition models (e.g. HMAX, VisNet along with several models from computer vision (e.g. SIFT, GIST, self-similarity features, and a deep convolutional neural network. We compared the representational dissimilarity matrices (RDMs of the model representations with the RDMs obtained from human IT (measured with fMRI and monkey IT (measured with cell recording for the same set of stimuli (not used in training the models. Better performing models were more similar to IT in that they showed greater clustering of representational patterns by category. In addition, better performing models also more strongly resembled IT in terms of their within-category representational dissimilarities. Representational geometries were significantly correlated between IT and many of the models. However, the categorical clustering observed in IT was largely unexplained by the unsupervised models. The deep convolutional network, which was trained by supervision with over a million category-labeled images, reached the highest categorization performance and also best explained IT, although it did not fully explain the IT data. Combining the features of this model with appropriate weights and adding linear combinations that maximize the margin between animate and inanimate objects and between faces and other objects yielded a representation that fully explained our IT data. Overall, our results suggest that explaining

Apply Functional Modelling to Consequence Analysis in Supervision Systems

DEFF Research Database (Denmark)

Zhang, Xinxin; Lind, Morten; Gola, Giulio

2013-01-01

This paper will first present the purpose and goals of applying functional modelling approach to consequence analysis by adopting Multilevel Flow Modelling (MFM). MFM Models describe a complex system in multiple abstraction levels in both means-end dimension and whole-part dimension. It contains...... consequence analysis to practical or online applications in supervision systems. It will also suggest a multiagent solution as the integration architecture for developing tools to facilitate the utilization results of functional consequence analysis. Finally a prototype of the multiagent reasoning system...... causal relations between functions and goals. A rule base system can be developed to trace the causal relations and perform consequence propagations. This paper will illustrate how to use MFM for consequence reasoning by using rule base technology and describe the challenges for integrating functional...

General Practitioner (GP) trainees' experience of a '1-h protected supervision model' given during psychiatry placements in the United Kingdom.

Science.gov (United States)

Thomas, Gareth; McNeill, Helen

2018-01-05

Background A '1-hour protected supervision model' is well established for Psychiatry trainees. This model is also extended to GP trainees who are on placement in psychiatry. To explore the experiences of the '1-hour protected supervision model' for GP trainees in psychiatry placements in the UK. Methods Using a mixed methods approach, an anonymous online questionnaire was sent to GP trainees in the North West of England who had completed a placement in Psychiatry between February and August 2015. Results Discussing clinical cases whilst using the e-portfolio was the most useful learning event in this model. Patient care can potentially improve if a positive relationship develops between trainee/supervisor, which is impacted by the knowledge of this model at the start of the placement. Trainees found that clinical pressures were impacting on the occurrence of supervision. Conclusion The model works best when both GP trainees and their supervisors understand the model. The most frequently used and educationally beneficial aspect for GP trainees in psychiatry is the exploration of clinical cases using the learning portfolio as an educational tool. For effective delivery of this model of supervision, organisations must reflect on the balance between service delivery and allowing the supervisor and trainee adequate time for it to occur.

SemiBoost: boosting for semi-supervised learning.

Science.gov (United States)

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

2009-11-01

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

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

Science.gov (United States)

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

2007-01-01

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

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

Science.gov (United States)

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

2017-10-12

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

Robust Semi-Supervised Manifold Learning Algorithm for Classification

Directory of Open Access Journals (Sweden)

Mingxia Chen

2018-01-01

Full Text Available In the recent years, manifold learning methods have been widely used in data classification to tackle the curse of dimensionality problem, since they can discover the potential intrinsic low-dimensional structures of the high-dimensional data. Given partially labeled data, the semi-supervised manifold learning algorithms are proposed to predict the labels of the unlabeled points, taking into account label information. However, these semi-supervised manifold learning algorithms are not robust against noisy points, especially when the labeled data contain noise. In this paper, we propose a framework for robust semi-supervised manifold learning (RSSML to address this problem. The noisy levels of the labeled points are firstly predicted, and then a regularization term is constructed to reduce the impact of labeled points containing noise. A new robust semi-supervised optimization model is proposed by adding the regularization term to the traditional semi-supervised optimization model. Numerical experiments are given to show the improvement and efficiency of RSSML on noisy data sets.

Competencies to enable learning-focused clinical supervision: a thematic analysis of the literature.

Science.gov (United States)

Pront, Leeanne; Gillham, David; Schuwirth, Lambert W T

2016-04-01

Clinical supervision is essential for development of health professional students and widely recognised as a significant factor influencing student learning. Although considered important, delivery is often founded on personal experience or a series of predetermined steps that offer standardised behavioural approaches. Such a view may limit the capacity to promote individualised student learning in complex clinical environments. The objective of this review was to develop a comprehensive understanding of what is considered 'good' clinical supervision, within health student education. The literature provides many perspectives, so collation and interpretation were needed to aid development and understanding for all clinicians required to perform clinical supervision within their daily practice. A comprehensive thematic literature review was carried out, which included a variety of health disciplines and geographical environments. Literature addressing 'good' clinical supervision consists primarily of descriptive qualitative research comprising mostly small studies that repeated descriptions of student and supervisor opinions of 'good' supervision. Synthesis and thematic analysis of the literature resulted in four 'competency' domains perceived to inform delivery of learning-focused or 'good' clinical supervision. Domains understood to promote student learning are co-dependent and include 'to partner', 'to nurture', 'to engage' and 'to facilitate meaning'. Clinical supervision is a complex phenomenon and establishing a comprehensive understanding across health disciplines can influence the future health workforce. The learning-focused clinical supervision domains presented here provide an alternative perspective of clinical supervision of health students. This paper is the first step in establishing a more comprehensive understanding of learning-focused clinical supervision, which may lead to development of competencies for clinical supervision. © 2016 John Wiley

Clinical Supervision in Undergraduate Nursing Students: A Review of the Literature

Science.gov (United States)

Franklin, Natasha

2013-01-01

The concept of clinical supervision to facilitate the clinical education environment in undergraduate nursing students is well discussed within the literature. Despite the many models of clinical supervision described within the literature there is a lack of clear guidance and direction which clinical supervision model best suits the clinical…

Theoretical Application of Supervision over Quality and Safety of Agricultural Products

Institute of Scientific and Technical Information of China (English)

Xin; CHENG; Ying; ZHANG

2013-01-01

Supervision over quality and safety of agricultural products has received high attention of management department.Competent authorities have formulated and issued many measures to strengthen supervision over quality and safety of agricultural products and improve China’s agricultural product quality and safety level.From the perspective of management science,this paper elaborates basic contents of two basic management theories,Broken Windows Effect and Effect of Heat Furnace.Then,it analyzes influence of Broken Windows Effect and Effect of Heat Furnace on supervision over quality and safety of agricultural products.Finally,it comes up with recommendations for supervision over quality and safety of agricultural products.

A Development of a Knowledge Management Model of Supervision of Practicum Students in Early Childhood Education, Faculty of Education, Mahasarakham University

Directory of Open Access Journals (Sweden)

Srikunyarphat Rangsriborwornkul

2017-06-01

Full Text Available The purpose of this study was to develop a model of knowledge management of supervision of practicum students in early childhood education. The target groups were 1 four supervisors in Early Childhood Education program, faculty of Education, Mahasarakham University and 2 thirty-three fifth-year practicum students in early childhood education practicing in professional experience at schools which located in Mahasarakham, Khonkaen, and Roi-Et provinces. The research tool was a survey form of supervision of practicum students. Content analysis was used. The research findings showed that 1 a development of the knowledge management model of supervision of practicum students in early childhood education contained 3 phases: phase I – studying need assessment, phase II – developing a model and phase III – conclusion and 2 data from the survey form of knowledge management of supervision categorized into two aspects, namely, appropriate practices and inappropriate practices.

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

Science.gov (United States)

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

2016-03-01

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

Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control.

Science.gov (United States)

Kawato, Mitsuo; Kuroda, Shinya; Schweighofer, Nicolas

2011-10-01

The biophysical models of spike-timing-dependent plasticity have explored dynamics with molecular basis for such computational concepts as coincidence detection, synaptic eligibility trace, and Hebbian learning. They overall support different learning algorithms in different brain areas, especially supervised learning in the cerebellum. Because a single spine is physically very small, chemical reactions at it are essentially stochastic, and thus sensitivity-longevity dilemma exists in the synaptic memory. Here, the cascade of excitable and bistable dynamics is proposed to overcome this difficulty. All kinds of learning algorithms in different brain regions confront with difficult generalization problems. For resolution of this issue, the control of the degrees-of-freedom can be realized by changing synchronicity of neural firing. Especially, for cerebellar supervised learning, the triangle closed-loop circuit consisting of Purkinje cells, the inferior olive nucleus, and the cerebellar nucleus is proposed as a circuit to optimally control synchronous firing and degrees-of-freedom in learning. Copyright © 2011 Elsevier Ltd. All rights reserved.

Online tutoring procedure for research project supervision: management, organization and key elements

Directory of Open Access Journals (Sweden)

Antònia Darder Mesquida

2015-07-01

Full Text Available Research project tutoring appears as a crucial element for teaching; it is a planned action based on the relationship between a tutor and a student. This paper presents the findings of a design and development research which has as its main aim to create an organization system for the tutoring of online research projects. That system seeks to facilitate the tutoring and supervision task with trainee researchers, providing guidance for its management and instruments for its implementation. The main conclusions arising from this research derive from considering the need to offer a solution to the problem of distance research project supervision and has materialized in organization and sequencing through a model about the variables that influence the research project tutoring problem.

Effectiveness of Group Supervision versus Combined Group and Individual Supervision.

Science.gov (United States)

Ray, Dee; Altekruse, Michael

2000-01-01

Investigates the effectiveness of different types of supervision (large group, small group, combined group, individual supervision) with counseling students (N=64). Analyses revealed that all supervision formats resulted in similar progress in counselor effectiveness and counselor development. Participants voiced a preference for individual…

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...

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.

GMDH-Based Semi-Supervised Feature Selection for Electricity Load Classification Forecasting

Directory of Open Access Journals (Sweden)

Lintao Yang

2018-01-01

Full Text Available With the development of smart power grids, communication network technology and sensor technology, there has been an exponential growth in complex electricity load data. Irregular electricity load fluctuations caused by the weather and holiday factors disrupt the daily operation of the power companies. To deal with these challenges, this paper investigates a day-ahead electricity peak load interval forecasting problem. It transforms the conventional continuous forecasting problem into a novel interval forecasting problem, and then further converts the interval forecasting problem into the classification forecasting problem. In addition, an indicator system influencing the electricity load is established from three dimensions, namely the load series, calendar data, and weather data. A semi-supervised feature selection algorithm is proposed to address an electricity load classification forecasting issue based on the group method of data handling (GMDH technology. The proposed algorithm consists of three main stages: (1 training the basic classifier; (2 selectively marking the most suitable samples from the unclassified label data, and adding them to an initial training set; and (3 training the classification models on the final training set and classifying the test samples. An empirical analysis of electricity load dataset from four Chinese cities is conducted. Results show that the proposed model can address the electricity load classification forecasting problem more efficiently and effectively than the FW-Semi FS (forward semi-supervised feature selection and GMDH-U (GMDH-based semi-supervised feature selection for customer classification models.

Learning Supervised Topic Models for Classification and Regression from Crowds

DEFF Research Database (Denmark)

Rodrigues, Filipe; Lourenco, Mariana; Ribeiro, Bernardete

2017-01-01

problems, which account for the heterogeneity and biases among different annotators that are encountered in practice when learning from crowds. We develop an efficient stochastic variational inference algorithm that is able to scale to very large datasets, and we empirically demonstrate the advantages...... annotation tasks, prone to ambiguity and noise, often with high volumes of documents, deem learning under a single-annotator assumption unrealistic or unpractical for most real-world applications. In this article, we propose two supervised topic models, one for classification and another for regression...

Legislation and supervision

International Nuclear Information System (INIS)

1998-01-01

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

Quality of clinical supervision as perceived by attending doctors in university and district teaching hospitals.

Science.gov (United States)

Busari, Jamiu O; Koot, Bart G

2007-10-01

Attending doctors (ADs) play important roles in the supervision of specialist registrars. Little is known, however, about how they perceive the quality of their supervision in different teaching settings. We decided to investigate whether there is any difference in how ADs perceive the quality of their supervision in university teaching hospital (UTH) and district teaching hospital (DTH) settings. We used a standardised questionnaire to investigate the quality of supervision as perceived by ADs. Fifteen items reflecting good teaching ability were measured on a 5-point Likert scale (1-5: never-always). We investigated for factors that influenced the perceived quality of supervision using Likert scale items (1-5: totally disagree-totally agree) and open-ended questionnaires. A total of 83 ADs (UTH: 51; DTH: 32) were eligible to participate in the survey. Of these, 43 (52%) returned the questionnaire (UTH: 25; DTH: 18). There was no difference in the overall mean of the 15 items between the UTH (3.67, standard deviation [SD] 0.35) and DTH (3.73, SD 0.31) ADs. Attending doctors in the DTH group rated themselves better at 'teaching technical skills' (mean 3.50, SD 0.70), compared with their UTH counterparts (mean 3.0, SD 0.76) (P = 0.03). Analysis of variance of the overall means revealed no significant difference between the different hospital settings. The results suggest that teaching hospital environments do not influence how ADs perceive the quality of their supervision. Lack of time for teaching was perceived as responsible for poor supervision. Other factors found to influence AD perceptions of good supervision included effective teaching skills, communication skills and provision of feedback.

Semi-supervised Learning for Phenotyping Tasks.

Science.gov (United States)

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

2015-01-01

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

Exploring paraprofessional and classroom factors affecting teacher supervision.

Science.gov (United States)

Irvin, Dwight W; Ingram, Paul; Huffman, Jonathan; Mason, Rose; Wills, Howard

2018-02-01

Paraprofessionals serve a primary role in supporting students with disabilities in the classroom, which necessitates teachers' supervision as a means to improve their practice. Yet, little is known regarding what factors affect teacher supervision. We sought to identify how paraprofessional competence and classroom type affected the levels of teacher direction. We administered an adapted version of the Paraprofessional Needs, Knowledge & Tasks Survey and the Survey for Teachers Supervising Paraprofessionals to teachers supervising paraprofessionals in elementary schools. Structural Equation Modeling was used to examine the link between paraprofessional competence and classroom factors affecting the level of teacher supervision. Our results indicated that when teachers perceived paraprofessionals as being more skilled, they provided more supervision, and when more supervision was provided the less they thought paraprofessionals should be doing their assigned tasks. Additionally, paraprofessionals working in classrooms with more students with mild disabilities received less supervision than paraprofessionals working in classrooms with more students with moderate-to-severe disabilities. Those paraprofessionals in classrooms serving mostly children with mild disabilities were also perceived as having lower levels of skill competence than those serving in classrooms with students with more moderate-to-severe disabilities. By understanding the factors that affect teacher supervision, policy and professional development opportunities can be refined/developed to better support both supervising teachers and paraprofessionals and, in turn, improve the outcomes of children with disabilities. Copyright © 2017 Elsevier Ltd. All rights reserved.

Weakly supervised classification in high energy physics

Energy Technology Data Exchange (ETDEWEB)

Dery, Lucio Mwinmaarong [Physics Department, Stanford University,Stanford, CA, 94305 (United States); Nachman, Benjamin [Physics Division, Lawrence Berkeley National Laboratory,1 Cyclotron Rd, Berkeley, CA, 94720 (United States); Rubbo, Francesco; Schwartzman, Ariel [SLAC National Accelerator Laboratory, Stanford University,2575 Sand Hill Rd, Menlo Park, CA, 94025 (United States)

2017-05-29

As machine learning algorithms become increasingly sophisticated to exploit subtle features of the data, they often become more dependent on simulations. This paper presents a new approach called weakly supervised classification in which class proportions are the only input into the machine learning algorithm. Using one of the most challenging binary classification tasks in high energy physics — quark versus gluon tagging — we show that weakly supervised classification can match the performance of fully supervised algorithms. Furthermore, by design, the new algorithm is insensitive to any mis-modeling of discriminating features in the data by the simulation. Weakly supervised classification is a general procedure that can be applied to a wide variety of learning problems to boost performance and robustness when detailed simulations are not reliable or not available.

Weakly supervised classification in high energy physics

International Nuclear Information System (INIS)

Dery, Lucio Mwinmaarong; Nachman, Benjamin; Rubbo, Francesco; Schwartzman, Ariel

2017-01-01

As machine learning algorithms become increasingly sophisticated to exploit subtle features of the data, they often become more dependent on simulations. This paper presents a new approach called weakly supervised classification in which class proportions are the only input into the machine learning algorithm. Using one of the most challenging binary classification tasks in high energy physics — quark versus gluon tagging — we show that weakly supervised classification can match the performance of fully supervised algorithms. Furthermore, by design, the new algorithm is insensitive to any mis-modeling of discriminating features in the data by the simulation. Weakly supervised classification is a general procedure that can be applied to a wide variety of learning problems to boost performance and robustness when detailed simulations are not reliable or not available.

Supporting Placement Supervision in Clinical Exercise Physiology

Science.gov (United States)

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

2015-01-01

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

Social constructionism and supervision: experiences of AAMFT supervisors and supervised therapists.

Science.gov (United States)

Hair, Heather J; Fine, Marshall

2012-10-01

A phenomenological research process was used to investigate the supervision experience for supervisors and therapists when supervisors use a social constructionist perspective. Participants of the one-to-one interviews were six AAMFT Approved Supervisors and six therapists providing counseling to individuals, couples and families. The findings suggest supervisors were committed to their self-identified supervision philosophy and intentionally sought out congruence between epistemology and practice. The shared experience of therapists indicates they associated desirable supervision experiences with their supervisors' social constructionist perspective. Our findings also indicated that supervisors' and therapists' understanding of social constructionism included the more controversial concepts of agency and extra-discursiveness. This research has taken an empirical step in the direction of understanding what the social constructionist supervision experience is like for supervisors and therapists. Our findings suggest a linkage between epistemology and supervision practice and a satisfaction with the supervision process. © 2012 American Association for Marriage and Family Therapy.

Security system signal supervision

International Nuclear Information System (INIS)

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

1991-09-01

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

Impact of rent-seeking on productivity in Chinese coal mine safety supervision: A simulation study

International Nuclear Information System (INIS)

Chen, Hong; Feng, Qun; Zhu, Dandan; Han, Shuai; Long, Ruyin

2016-01-01

During the “golden decade” (2001–2011) of the coal industry in China, rent-seeking increased in coal mine safety supervision alongside significant improvements in coal mine safety status and increased economic benefits in the coal industry. To explore this internal relationship, we developed a Matlab simulation system and simulated the impact of rent-seeking from each level of the supervision department on coal mine productivity in different scenarios. The results showed the following. (1) Rent-seeking had no significant influence on the average level of material productivity but it had an adverse effect on the average level of mental productivity. Due to the effects of rent-seeking, productivity tended to exhibit unstable and destructive fluctuations, and rent-seeking had the dual effect of promoting and restraining productivity in a wide range with a high frequency. (2) In the supervision scenario, supervision by the high-level department was efficient, and productivity was promoted more by the national and provincial supervision department. (3) In the rent-seeking scenario, each level of the department had an intensity threshold above which coal mine accidents occurred. We also propose suggestions that focuses on the improved supervision of Chinese coal mine safety in three areas based on the “new normal” safety concept. - Highlights: •We discussed rent-seeking behavior in Chinese coal mine safety supervision. •We explored the characteristics of coal mine productivity. •We investigated the impact of rent-seeking on coal mine productivity in three scenarios. •We found rent-seeking led to great fluctuations in productivity with a dual effect. •We proposed a model strategy for Chinese coal mine safety supervision in three areas.

A Study on Changes of Supervision Model in Universities and Fostering Creative PhD Students in China

DEFF Research Database (Denmark)

Luo, Lingling; Zhou, Chunfang; Zhang, Song

2015-01-01

This paper aims to explore the changes of supervision model in higher education in relation to fostering creative Ph.D. students in China. The changes are being made from the traditional Apprentice Master Model (AMM) to the modern Collaborative Cohort Model (CCM). According to the results...

Good supervision and PBL

DEFF Research Database (Denmark)

Otrel-Cass, Kathrin

This field study was conducted at the Faculty of Social Sciences at Aalborg University with the intention to investigate how students reflect on their experiences with supervision in a PBL environment. The overall aim of this study was to inform about the continued work in strengthening supervision...... at this faculty. This particular study invited Master level students to discuss: • How a typical supervision process proceeds • How they experienced and what they expected of PBL in the supervision process • What makes a good supervision process...

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.

Reflecting reflection in supervision

DEFF Research Database (Denmark)

Lystbæk, Christian Tang

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 challenge...... the current reflective paradigm I supervision and relate this to emotive, normative and formative views supervision. The paper is relevant for Nordic educational research into the supervision and guidance...

The Wicked Problem of the Intersection between Supervision and Evaluation

Directory of Open Access Journals (Sweden)

Ian M. METTE

2017-03-01

Full Text Available The purpose of this research was to explore how principals in eight high-functioning elementary schools in one American school district balanced teacher supervision and evaluation in their role as an instructional leader. Using the theoretical framework of ‘wicked problems’, to unpack the circular used to problematize teacher supervision and evaluation, the findings analyse how elementary principals in these eight buildings acknowledge the tensions and conflicts between supervision and evaluation, specifically as they relate to improving teacher instruction. Specifically, the results of this study highlight not only the differences between supervision and evaluation, but also the intersection between the two functions, as well as how high-performing elementary school principals serve as an instructional coach rather than a manager of teachers. While the two functions of supervision and evaluation are inherently different, it is the acknowledgement of the intersection between the two functions that can allow building principals to progress as instructional coaches who can better develop human resources and create higher-functioning school systems. Overall, this study points toward the importance of elementary principals having the instructional leadership skills to differentiate supervision and professional development need for teachers, which in turn influences the evaluation of a teacher is in her/his respective career.

The wicked problem of the intersection between supervision and evaluation

Directory of Open Access Journals (Sweden)

Ian M. Mette

2017-03-01

Full Text Available The purpose of this research was to explore how principals in eight high-functioning elementary schools in one American school district balanced teacher supervision and evaluation in their role as an instructional leader. Using the theoretical framework of ‘wicked problems’, to unpack the circular used to problematize teacher supervision and evaluation, the findings analyse how elementary principals in these eight buildings acknowledge the tensions and conflicts between supervision and evaluation, specifically as they relate to improving teacher instruction. Specifically, the results of this study highlight not only the differences between supervision and evaluation, but also the intersection between the two functions, as well as how high-performing elementary school principals serve as an instructional coach rather than a manager of teachers. While the two functions of supervision and evaluation are inherently different, it is the acknowledgement of the intersection between the two functions that can allow building principals to progress as instructional coaches who can better develop human resources and create higher-functioning school systems. Overall, this study points toward the importance of elementary principals having the instructional leadership skills to differentiate supervision and professional development need for teachers, which in turn influences the evaluation of a teacher is in her/his respective career.

Enhanced manifold regularization for semi-supervised classification.

Science.gov (United States)

Gan, Haitao; Luo, Zhizeng; Fan, Yingle; Sang, Nong

2016-06-01

Manifold regularization (MR) has become one of the most widely used approaches in the semi-supervised learning field. It has shown superiority by exploiting the local manifold structure of both labeled and unlabeled data. The manifold structure is modeled by constructing a Laplacian graph and then incorporated in learning through a smoothness regularization term. Hence the labels of labeled and unlabeled data vary smoothly along the geodesics on the manifold. However, MR has ignored the discriminative ability of the labeled and unlabeled data. To address the problem, we propose an enhanced MR framework for semi-supervised classification in which the local discriminative information of the labeled and unlabeled data is explicitly exploited. To make full use of labeled data, we firstly employ a semi-supervised clustering method to discover the underlying data space structure of the whole dataset. Then we construct a local discrimination graph to model the discriminative information of labeled and unlabeled data according to the discovered intrinsic structure. Therefore, the data points that may be from different clusters, though similar on the manifold, are enforced far away from each other. Finally, the discrimination graph is incorporated into the MR framework. In particular, we utilize semi-supervised fuzzy c-means and Laplacian regularized Kernel minimum squared error for semi-supervised clustering and classification, respectively. Experimental results on several benchmark datasets and face recognition demonstrate the effectiveness of our proposed method.

Resistance to group clinical supervision

DEFF Research Database (Denmark)

Buus, Niels; Delgado, Cynthia; Traynor, Michael

2018-01-01

This present study is a report of an interview study exploring personal views on participating in group clinical supervision among mental health nursing staff members who do not participate in supervision. There is a paucity of empirical research on resistance to supervision, which has traditiona......This present study is a report of an interview study exploring personal views on participating in group clinical supervision among mental health nursing staff members who do not participate in supervision. There is a paucity of empirical research on resistance to supervision, which has...... traditionally been theorized as a supervisee's maladaptive coping with anxiety in the supervision process. The aim of the present study was to examine resistance to group clinical supervision by interviewing nurses who did not participate in supervision. In 2015, we conducted semistructured interviews with 24...... Danish mental health nursing staff members who had been observed not to participate in supervision in two periods of 3 months. Interviews were audio-recorded and subjected to discourse analysis. We constructed two discursive positions taken by the informants: (i) 'forced non-participation', where...

Comparative Analysis of River Flow Modelling by Using Supervised Learning Technique

Science.gov (United States)

Ismail, Shuhaida; Mohamad Pandiahi, Siraj; Shabri, Ani; Mustapha, Aida

2018-04-01

The goal of this research is to investigate the efficiency of three supervised learning algorithms for forecasting monthly river flow of the Indus River in Pakistan, spread over 550 square miles or 1800 square kilometres. The algorithms include the Least Square Support Vector Machine (LSSVM), Artificial Neural Network (ANN) and Wavelet Regression (WR). The forecasting models predict the monthly river flow obtained from the three models individually for river flow data and the accuracy of the all models were then compared against each other. The monthly river flow of the said river has been forecasted using these three models. The obtained results were compared and statistically analysed. Then, the results of this analytical comparison showed that LSSVM model is more precise in the monthly river flow forecasting. It was found that LSSVM has he higher r with the value of 0.934 compared to other models. This indicate that LSSVM is more accurate and efficient as compared to the ANN and WR model.

Supervised hub-detection for brain connectivity

DEFF Research Database (Denmark)

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

2016-01-01

, but can smooth discriminative signals in the population, degrading predictive performance. We present a novel hub-detection optimized for supervised learning that both clusters network nodes based on population level variation in connectivity and also takes the learning problem into account. The found......A structural brain network consists of physical connections between brain regions. Brain network analysis aims to find features associated with a parameter of interest through supervised prediction models such as regression. Unsupervised preprocessing steps like clustering are often applied...... hubs are a low-dimensional representation of the network and are chosen based on predictive performance as features for a linear regression. We apply our method to the problem of finding age-related changes in structural connectivity. We compare our supervised hub-detection (SHD) to an unsupervised hub...

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

Science.gov (United States)

Chen, Ke; Wang, Shihai

2011-01-01

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

Psychodrama: A Creative Approach for Addressing Parallel Process in Group Supervision

Science.gov (United States)

Hinkle, Michelle Gimenez

2008-01-01

This article provides a model for using psychodrama to address issues of parallel process during group supervision. Information on how to utilize the specific concepts and techniques of psychodrama in relation to group supervision is discussed. A case vignette of the model is provided.

Optimal preventive bank supervision

OpenAIRE

Belhaj, Mohamed; Klimenko, Nataliya

2012-01-01

Early regulator interventions into problem banks is one of the key suggestions of Basel Committee on Banking Supervision. However, no guidance is given on their design. To fill this gap, we outline an incentive-based preventive supervision strategy that eliminates bad asset management in banks. Two supervision techniques are combined: temporary regulatory administration and random audits. Our design ensures good management without excessive supervision costs, through a gradual adjustment of...

The Buffering Effect of Mindfulness on Abusive Supervision and Creative Performance: A Social Cognitive Framework

OpenAIRE

Zheng, Xiaoming; Liu, Xin

2017-01-01

Our research draws upon social cognitive theory and incorporates a regulatory approach to investigate why and when abusive supervision influences employee creative performance. The analyses of data from multiple time points and multiple sources reveal that abusive supervision hampers employee self-efficacy at work, which in turn impairs employee creative performance. Further, employee mindfulness buffers the negative effects of abusive supervision on employee self-efficacy at work as well as ...

Image analysis and mathematical modelling for the supervision of the dough fermentation process

Science.gov (United States)

Zettel, Viktoria; Paquet-Durand, Olivier; Hecker, Florian; Hitzmann, Bernd

2016-10-01

The fermentation (proof) process of dough is one of the quality-determining steps in the production of baking goods. Beside the fluffiness, whose fundaments are built during fermentation, the flavour of the final product is influenced very much during this production stage. However, until now no on-line measurement system is available, which can supervise this important process step. In this investigation the potential of an image analysis system is evaluated, that enables the determination of the volume of fermented dough pieces. The camera is moving around the fermenting pieces and collects images from the objects by means of different angles (360° range). Using image analysis algorithms the volume increase of individual dough pieces is determined. Based on a detailed mathematical description of the volume increase, which based on the Bernoulli equation, carbon dioxide production rate of yeast cells and the diffusion processes of carbon dioxide, the fermentation process is supervised. Important process parameters, like the carbon dioxide production rate of the yeast cells and the dough viscosity can be estimated just after 300 s of proofing. The mean percentage error for forecasting the further evolution of the relative volume of the dough pieces is just 2.3 %. Therefore, a forecast of the further evolution can be performed and used for fault detection.

Weakly Supervised Dictionary Learning

Science.gov (United States)

You, Zeyu; Raich, Raviv; Fern, Xiaoli Z.; Kim, Jinsub

2018-05-01

We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and restoration as well as high-level classification tasks, which can be applied to audio and image analysis. Synthesis dictionary learning aims at jointly learning a dictionary and corresponding sparse coefficients to provide accurate data representation. This approach is useful for denoising and signal restoration, but may lead to sub-optimal classification performance. By contrast, analysis dictionary learning provides a transform that maps data to a sparse discriminative representation suitable for classification. We consider the problem of analysis dictionary learning for time-series data under a weak supervision setting in which signals are assigned with a global label instead of an instantaneous label signal. We propose a discriminative probabilistic model that incorporates both label information and sparsity constraints on the underlying latent instantaneous label signal using cardinality control. We present the expectation maximization (EM) procedure for maximum likelihood estimation (MLE) of the proposed model. To facilitate a computationally efficient E-step, we propose both a chain and a novel tree graph reformulation of the graphical model. The performance of the proposed model is demonstrated on both synthetic and real-world data.

Supervised Learning

Science.gov (United States)

Rokach, Lior; Maimon, Oded

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

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....

Abusive Supervision by Academic Supervisors and Postgraduate Research Students' Creativity: The Mediating Role of Leader-Member Exchange and Intrinsic Motivation

Science.gov (United States)

Meng, Yi; Tan, Jing; Li, Jing

2017-01-01

Drawing upon the componential theory of creativity, cognitive evaluation theory and social exchange theory, the study reported in this paper tested a mediating model based on the hypothesis that abusive supervision negatively influences creativity sequentially through leader-member exchange (LMX) and intrinsic motivation. The study employed…

MULTIPERIOD BANKING SUPERVISION

OpenAIRE

KARL-THEODOR EISELE; PHILIPPE ARTZNER

2013-01-01

This paper is based on a general method for multiperiod prudential supervision of companies submitted to hedgeable and non-hedgeable risks. Having treated the case of insurance in an earlier paper, we now consider a quantitative approach to supervision of commercial banks. The various elements under supervision are the bank’s current amount of tradeable assets, the deposit amount, and four flow processes: future trading risk exposures, deposit flows, flows of loan repayments and of deposit re...

The Buffering Effect of Mindfulness on Abusive Supervision and Creative Performance: A Social Cognitive Framework.

Science.gov (United States)

Zheng, Xiaoming; Liu, Xin

2017-01-01

Our research draws upon social cognitive theory and incorporates a regulatory approach to investigate why and when abusive supervision influences employee creative performance. The analyses of data from multiple time points and multiple sources reveal that abusive supervision hampers employee self-efficacy at work, which in turn impairs employee creative performance. Further, employee mindfulness buffers the negative effects of abusive supervision on employee self-efficacy at work as well as the indirect effects of abusive supervision on employee creative performance. Our findings have implications for both theory and practice. Limitations and directions for future research are also discussed.

The Buffering Effect of Mindfulness on Abusive Supervision and Creative Performance: A Social Cognitive Framework

Directory of Open Access Journals (Sweden)

Xiaoming Zheng

2017-09-01

Full Text Available Our research draws upon social cognitive theory and incorporates a regulatory approach to investigate why and when abusive supervision influences employee creative performance. The analyses of data from multiple time points and multiple sources reveal that abusive supervision hampers employee self-efficacy at work, which in turn impairs employee creative performance. Further, employee mindfulness buffers the negative effects of abusive supervision on employee self-efficacy at work as well as the indirect effects of abusive supervision on employee creative performance. Our findings have implications for both theory and practice. Limitations and directions for future research are also discussed.

The effectiveness of clinical teaching of mental health courses in nursing using clinical supervision and Kirkpatrick's model.

Science.gov (United States)

Maddineshat, Maryam; Hashemi, Mitra; Besharati, Reza; Gholami, Sepideh; Ghavidel, Fatemeh

2018-01-01

Clinical experience associated with the fear and anxiety of nursing students in the psychiatric unit. Mental health nursing instructors find it challenging to teach nursing students to deal with patients with mental disorders in an environment where they need to provide patient teaching and clinical decision-making based on evidence and new technology. To measure the effectiveness of clinical teaching of mental health courses in nursing using clinical supervision and Kirkpatrick's model evaluation in the psychiatry unit of Imam Reza Hospital, Bojnurd, Iran. This cross-sectional study was carried out from 2011 to 2016 on 76 nursing students from a university as part of a clinical mental health course in two semesters. The students were selected by a non-probable convenient sampling method. After completing their clinical education, each student responded to checklist questions based on the four-level Kirkpatrick's model evaluation and open questions relating to clinical supervision. Finally, all data was analyzed using the SPSS version 16. The students have evaluated clinical supervision as a useful approach, and appreciated the instructor's supportive behavior during teaching and imparting clinical skills. This has made them feel relaxed at the end of the clinical teaching course. In addition, in the evaluation through Kirkpatrick's model, more than 70% of the students have been satisfied with the method of conducting the teaching and average score of nursing students' attitude toward mental health students: Their mean self-confidence score was 18.33±1.69, and the mean score of their performance in the study was evaluated to be 93.74±5.3 from 100 points. The results of clinical mental health teaching through clinical supervision and Kirkpatrick's model evaluation show that the satisfaction, self-esteem, attitude, and skill of nursing students are excellent, thereby portraying the effectiveness of clinical teaching. But this program still needs to be reformed. To

Quality-Related Monitoring and Grading of Granulated Products by Weibull-Distribution Modeling of Visual Images with Semi-Supervised Learning.

Science.gov (United States)

Liu, Jinping; Tang, Zhaohui; Xu, Pengfei; Liu, Wenzhong; Zhang, Jin; Zhu, Jianyong

2016-06-29

The topic of online product quality inspection (OPQI) with smart visual sensors is attracting increasing interest in both the academic and industrial communities on account of the natural connection between the visual appearance of products with their underlying qualities. Visual images captured from granulated products (GPs), e.g., cereal products, fabric textiles, are comprised of a large number of independent particles or stochastically stacking locally homogeneous fragments, whose analysis and understanding remains challenging. A method of image statistical modeling-based OPQI for GP quality grading and monitoring by a Weibull distribution(WD) model with a semi-supervised learning classifier is presented. WD-model parameters (WD-MPs) of GP images' spatial structures, obtained with omnidirectional Gaussian derivative filtering (OGDF), which were demonstrated theoretically to obey a specific WD model of integral form, were extracted as the visual features. Then, a co-training-style semi-supervised classifier algorithm, named COSC-Boosting, was exploited for semi-supervised GP quality grading, by integrating two independent classifiers with complementary nature in the face of scarce labeled samples. Effectiveness of the proposed OPQI method was verified and compared in the field of automated rice quality grading with commonly-used methods and showed superior performance, which lays a foundation for the quality control of GP on assembly lines.

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…

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…

Influence of a 12-year supervised physical activity program for the elderly

Directory of Open Access Journals (Sweden)

José Rodrigo Pauli

2009-06-01

Full Text Available Aging is an inevitable process and is associated with declining physiological and functional capacity in humans. The objective of this study was to determine the effects of a 12-yearsupervised physical training program on functional fitness in the elderly. Ten women (mean age: 65 years participated in the study. The subjects were divided into two groups: a a trained group consisting of women who had been attending a supervised program including different types of physical activities of moderate intensity over the last 12 years; b an untrained group consisting of women who were not engaged in any supervised physical activity program over the last 12years. Functional fitness was assessed using the AAHPERD field-test battery which comprises five single motor tests: coordination, flexibility, strength endurance, agility and dynamic balance, and overall aerobic endurance. The results showed a better performance of elderly women whoparticipated in a physical activity program over the last 12 years. Thus, whereas elderly women who perform regular physical activities in a supervised program tend to show improvement of all functional fitness components even after a period of 12 years, a tendency towards a reduction in most of these components is observed in their non-active peers. These findings seem to predict an increasing gap in functional fitness between these two groups as they grow older, with opposite effects on the quality of life of these subjects.

Adequate supervision for children and adolescents.

Science.gov (United States)

Anderst, James; Moffatt, Mary

2014-11-01

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

Prototype-based Models for the Supervised Learning of Classification Schemes

Science.gov (United States)

Biehl, Michael; Hammer, Barbara; Villmann, Thomas

2017-06-01

An introduction is given to the use of prototype-based models in supervised machine learning. The main concept of the framework is to represent previously observed data in terms of so-called prototypes, which reflect typical properties of the data. Together with a suitable, discriminative distance or dissimilarity measure, prototypes can be used for the classification of complex, possibly high-dimensional data. We illustrate the framework in terms of the popular Learning Vector Quantization (LVQ). Most frequently, standard Euclidean distance is employed as a distance measure. We discuss how LVQ can be equipped with more general dissimilarites. Moreover, we introduce relevance learning as a tool for the data-driven optimization of parameterized distances.

Essential processes for cognitive behavioral clinical supervision: Agenda setting, problem-solving, and formative feedback.

Science.gov (United States)

Cummings, Jorden A; Ballantyne, Elena C; Scallion, Laura M

2015-06-01

Clinical supervision should be a proactive and considered endeavor, not a reactive one. To that end, supervisors should choose supervision processes that are driven by theory, best available research, and clinical experience. These processes should be aimed at helping trainees develop as clinicians. We highlight 3 supervision processes we believe should be used at each supervision meeting: agenda setting, encouraging trainee problem-solving, and formative feedback. Although these are primarily cognitive-behavioral skills, they can be helpful in combination with other supervision models. We provide example dialogue from supervision exchanges, and discuss theoretical and research support for these processes. Using these processes not only encourages trainee development but also models for them how to use the same processes and approaches with clients. (c) 2015 APA, all rights reserved).

Evaluering af kollegial supervision

DEFF Research Database (Denmark)

Petersen, Anne Line Bjerre Folsgaard; Bager, Lene Tortzen; Jørgensen, Mette Eg

2015-01-01

Videoen er en evaluering af arbejdet med en metodisk tilgang til kollegial supervision på VIA Ergoterapeutuddannelsen gennem et par år. Evalueringen sætter fokus på selve metoden, der er anvendt til kollegial supervision. Derudover er der fokus på erfaringer og udbytte af at arbejde systematisk med...... kollegial supervision blandt undervisere på VIA Ergoterapeutuddannelsen....

Can Semi-Supervised Learning Explain Incorrect Beliefs about Categories?

Science.gov (United States)

Kalish, Charles W.; Rogers, Timothy T.; Lang, Jonathan; Zhu, Xiaojin

2011-01-01

Three experiments with 88 college-aged participants explored how unlabeled experiences--learning episodes in which people encounter objects without information about their category membership--influence beliefs about category structure. Participants performed a simple one-dimensional categorization task in a brief supervised learning phase, then…

Supervision is also about Addressing the Group Dynamics

DEFF Research Database (Denmark)

Jensen, Lars Peter; Hansen, S.

2003-01-01

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......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...... as well as at Aalborg University. The first visible result has been participating supervisors telling us that the course has inspired them to try supervising group dynamics in the future. This paper will explore some aspects of supervising group dynamics as well as, how to develop the Aalborg model...

Social construction : discursive perspective towards supervision

OpenAIRE

Naujanienė, Rasa

2010-01-01

The aim of publication is to discuss the development of supervision theory in relation with social and social work theory and practice. Main focus in the analysis is done to social constructionist ideas and its’ relevance to supervision practice. The development of supervision is related with supervision practice. Starting in 19th century supervision from giving practical advices supervision came to 21st century as dialog based on critical and philosophical reflection. Different theory and pr...

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

Supervised learning classification models for prediction of plant virus encoded RNA silencing suppressors.

Directory of Open Access Journals (Sweden)

Zeenia Jagga

Full Text Available Viral encoded RNA silencing suppressor proteins interfere with the host RNA silencing machinery, facilitating viral infection by evading host immunity. In plant hosts, the viral proteins have several basic science implications and biotechnology applications. However in silico identification of these proteins is limited by their high sequence diversity. In this study we developed supervised learning based classification models for plant viral RNA silencing suppressor proteins in plant viruses. We developed four classifiers based on supervised learning algorithms: J48, Random Forest, LibSVM and Naïve Bayes algorithms, with enriched model learning by correlation based feature selection. Structural and physicochemical features calculated for experimentally verified primary protein sequences were used to train the classifiers. The training features include amino acid composition; auto correlation coefficients; composition, transition, and distribution of various physicochemical properties; and pseudo amino acid composition. Performance analysis of predictive models based on 10 fold cross-validation and independent data testing revealed that the Random Forest based model was the best and achieved 86.11% overall accuracy and 86.22% balanced accuracy with a remarkably high area under the Receivers Operating Characteristic curve of 0.95 to predict viral RNA silencing suppressor proteins. The prediction models for plant viral RNA silencing suppressors can potentially aid identification of novel viral RNA silencing suppressors, which will provide valuable insights into the mechanism of RNA silencing and could be further explored as potential targets for designing novel antiviral therapeutics. Also, the key subset of identified optimal features may help in determining compositional patterns in the viral proteins which are important determinants for RNA silencing suppressor activities. The best prediction model developed in the study is available as a

Validation of automated supervised segmentation of multibeam backscatter data from the Chatham Rise, New Zealand

Science.gov (United States)

Hillman, Jess I. T.; Lamarche, Geoffroy; Pallentin, Arne; Pecher, Ingo A.; Gorman, Andrew R.; Schneider von Deimling, Jens

2018-06-01

Using automated supervised segmentation of multibeam backscatter data to delineate seafloor substrates is a relatively novel technique. Low-frequency multibeam echosounders (MBES), such as the 12-kHz EM120, present particular difficulties since the signal can penetrate several metres into the seafloor, depending on substrate type. We present a case study illustrating how a non-targeted dataset may be used to derive information from multibeam backscatter data regarding distribution of substrate types. The results allow us to assess limitations associated with low frequency MBES where sub-bottom layering is present, and test the accuracy of automated supervised segmentation performed using SonarScope® software. This is done through comparison of predicted and observed substrate from backscatter facies-derived classes and substrate data, reinforced using quantitative statistical analysis based on a confusion matrix. We use sediment samples, video transects and sub-bottom profiles acquired on the Chatham Rise, east of New Zealand. Inferences on the substrate types are made using the Generic Seafloor Acoustic Backscatter (GSAB) model, and the extents of the backscatter classes are delineated by automated supervised segmentation. Correlating substrate data to backscatter classes revealed that backscatter amplitude may correspond to lithologies up to 4 m below the seafloor. Our results emphasise several issues related to substrate characterisation using backscatter classification, primarily because the GSAB model does not only relate to grain size and roughness properties of substrate, but also accounts for other parameters that influence backscatter. Better understanding these limitations allows us to derive first-order interpretations of sediment properties from automated supervised segmentation.

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...

A Supervised Learning Process to Validate Online Disease Reports for Use in Predictive Models.

Science.gov (United States)

Patching, Helena M M; Hudson, Laurence M; Cooke, Warrick; Garcia, Andres J; Hay, Simon I; Roberts, Mark; Moyes, Catherine L

2015-12-01

Pathogen distribution models that predict spatial variation in disease occurrence require data from a large number of geographic locations to generate disease risk maps. Traditionally, this process has used data from public health reporting systems; however, using online reports of new infections could speed up the process dramatically. Data from both public health systems and online sources must be validated before they can be used, but no mechanisms exist to validate data from online media reports. We have developed a supervised learning process to validate geolocated disease outbreak data in a timely manner. The process uses three input features, the data source and two metrics derived from the location of each disease occurrence. The location of disease occurrence provides information on the probability of disease occurrence at that location based on environmental and socioeconomic factors and the distance within or outside the current known disease extent. The process also uses validation scores, generated by disease experts who review a subset of the data, to build a training data set. The aim of the supervised learning process is to generate validation scores that can be used as weights going into the pathogen distribution model. After analyzing the three input features and testing the performance of alternative processes, we selected a cascade of ensembles comprising logistic regressors. Parameter values for the training data subset size, number of predictors, and number of layers in the cascade were tested before the process was deployed. The final configuration was tested using data for two contrasting diseases (dengue and cholera), and 66%-79% of data points were assigned a validation score. The remaining data points are scored by the experts, and the results inform the training data set for the next set of predictors, as well as going to the pathogen distribution model. The new supervised learning process has been implemented within our live site and is

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...

Self-Supervised Dynamical Systems

Science.gov (United States)

Zak, Michail

2003-01-01

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

Classifier Directed Data Hybridization for Geographic Sample Supervised Segment Generation

Directory of Open Access Journals (Sweden)

Christoff Fourie

2014-11-01

Full Text Available Quality segment generation is a well-known challenge and research objective within Geographic Object-based Image Analysis (GEOBIA. Although methodological avenues within GEOBIA are diverse, segmentation commonly plays a central role in most approaches, influencing and being influenced by surrounding processes. A general approach using supervised quality measures, specifically user provided reference segments, suggest casting the parameters of a given segmentation algorithm as a multidimensional search problem. In such a sample supervised segment generation approach, spatial metrics observing the user provided reference segments may drive the search process. The search is commonly performed by metaheuristics. A novel sample supervised segment generation approach is presented in this work, where the spectral content of provided reference segments is queried. A one-class classification process using spectral information from inside the provided reference segments is used to generate a probability image, which in turn is employed to direct a hybridization of the original input imagery. Segmentation is performed on such a hybrid image. These processes are adjustable, interdependent and form a part of the search problem. Results are presented detailing the performances of four method variants compared to the generic sample supervised segment generation approach, under various conditions in terms of resultant segment quality, required computing time and search process characteristics. Multiple metrics, metaheuristics and segmentation algorithms are tested with this approach. Using the spectral data contained within user provided reference segments to tailor the output generally improves the results in the investigated problem contexts, but at the expense of additional required computing time.

Self-supervised Chinese ontology learning from online encyclopedias.

Science.gov (United States)

Hu, Fanghuai; Shao, Zhiqing; Ruan, Tong

2014-01-01

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

Semi-supervised detection of intracranial pressure alarms using waveform dynamics

International Nuclear Information System (INIS)

Scalzo, Fabien; Hu, Xiao

2013-01-01

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)

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...

Implementation of Instructional Supervision in Secondary School ...

African Journals Online (AJOL)

Science, Technology and Arts Research Journal ... Supervision is critical in the development of any educational program in both developed and ... Clinical Supervision, Collegial Supervision, Self-directive supervision, Informal Supervision etc.

Strength-based Supervision: Frameworks, Current Practice, and Future Directions A Wu-wei Method.

Science.gov (United States)

Edwards, Jeffrey K.; Chen, Mei-Whei

1999-01-01

Discusses a method of counseling supervision similar to the wu-wei practice in Zen and Taoism. Suggests that this strength-based method and an understanding of isomorphy in supervisory relationships are the preferred practice for the supervision of family counselors. States that this model of supervision potentiates the person-of-the-counselor.…

Abusive supervision, psychosomatic symptoms, and deviance: Can job autonomy make a difference?

Science.gov (United States)

Velez, Maria João; Neves, Pedro

2016-07-01

Recently, interest in abusive supervision has grown (Tepper, 2000). However, little is still known about organizational factors that can reduce its adverse effects on employee behavior. Based on the Job Demands-Resources Model (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001), we predict that job autonomy acts as a buffer of the positive relationship between abusive supervision, psychosomatic symptoms and deviance. Therefore, when job autonomy is low, a higher level of abusive supervision should be accompanied by increased psychosomatic symptoms and thus lead to higher production deviance. When job autonomy is high, abusive supervision should fail to produce increased psychosomatic symptoms and thus should not lead to higher production deviance. Our model was explored among a sample of 170 supervisor-subordinate dyads from 4 organizations. The results of the moderated mediation analysis supported our hypotheses. That is, abusive supervision was significantly related to production deviance via psychosomatic symptoms when job autonomy was low, but not when job autonomy was high. These findings suggest that job autonomy buffers the impact of abusive supervision perceptions on psychosomatic symptoms, with consequences for production deviance. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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

Science.gov (United States)

Yaghouby, Farid; Sunderam, Sridhar

2015-04-01

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

20 CFR 656.21 - Supervised recruitment.

Science.gov (United States)

2010-04-01

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

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

Science.gov (United States)

Bos, Elisabeth; Löfmark, Anna; Törnkvist, Lena

2009-11-01

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

Availability analysis of supervised protective systems

International Nuclear Information System (INIS)

Kontoleon, N.; Kontoleon, J.M.; Chrysochoides, N.G.

1975-01-01

The behaviour in time of a nuclear reactor supervised protective system is modelled mathematically by a Markov process, continuous in time and with three discrete states. Failure and repair rates are assumed to be exponentially distributed. An analytical expression of system availability as a function of failure and repair rates as well as the inspection intervals and duration is derived. An optimization problem is then discussed in order to maximize system availability with respect to imposed cost constraints. Finally, an example of a supervised protective system with short inactive times is given, which may be found in many practical situations of modern protective systems. (author)

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

Science.gov (United States)

Abramovitch, Henry; Wiener, Jan

2017-02-01

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

Ixtetreco: recent extensions for the supervision of a power network; Ixtetreco: extensions recentes pour la supervision d`un reseau electrique

Energy Technology Data Exchange (ETDEWEB)

Despouys, O.

1998-04-01

A chronicle model describes a class of evolutions or possible behaviours for a given dynamical system. Ixtetreco uses a reified logics and time constraints to describe these chronicles and algorithms which allow to recognize all instances of these chronicles in a given stream of observations in entry. Ixtetreco is used in several applications for the supervision of complex processes. This paper presents the recent extensions of Ixtetreco which allow to use it in the supervision of power networks. (J.S.) 14 refs.

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.

A SURVEY OF SEMI-SUPERVISED LEARNING

OpenAIRE

Amrita Sadarangani *, Dr. Anjali Jivani

2016-01-01

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

Moment constrained semi-supervised LDA

DEFF Research Database (Denmark)

Loog, Marco

2012-01-01

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

Supervision Anxiety as a Predictor for Organizational Cynicism in Teachers

Science.gov (United States)

Gündüz, Hasan Basri; Ömür, Yunus Emre

2016-01-01

The purpose of this is study is to reveal how the anxiety that the teachers who work in the Beyoglu district of Istanbul experience, due to the supervision process, predict their organizational cynicism levels. With this respect, the study was conducted on 274 teachers with the relational screening model. The "Supervision Anxiety Scale"…

Asco 2044 nuclear power plant: supervision; Central nuclear Asco 2044: supervision

Energy Technology Data Exchange (ETDEWEB)

Sabartes, J.

2010-07-01

Good supervision constitutes an efficient barrier to avoid the errors caused by inadequate work practices. In this sense, it is necessary to strengthen supervision to make sure that the work is carried out with adequate human performance, tending to avoid error ande provinding safety quality and efficiency at work. (Author).

Whither Supervision?

OpenAIRE

Duncan Waite

2006-01-01

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...

Supervision in banking industry

OpenAIRE

Šmída, David

2012-01-01

The aim of submitted thesis Supervision in banking is to define the nature and the importance of banking supervision, to justify its existence and to analyze the applicable mechanisms while the system of banking regulation and supervision in this thesis is primarily examined in the European context, with a focus on the Czech Republic. The thesis is divided into five main chapters. The first chapter is devoted to the financial system and the importance of banks in this system, it defines the c...

17 CFR 166.3 - Supervision.

Science.gov (United States)

2010-04-01

... 17 Commodity and Securities Exchanges 1 2010-04-01 2010-04-01 false Supervision. 166.3 Section 166.3 Commodity and Securities Exchanges COMMODITY FUTURES TRADING COMMISSION CUSTOMER PROTECTION RULES § 166.3 Supervision. Each Commission registrant, except an associated person who has no supervisory duties, must diligently supervise the handling b...

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 you are an offender under supervision by th...

Mentoring, coaching and supervision

OpenAIRE

McMahon, Samantha; Dyer, Mary; Barker, Catherine

2016-01-01

This chapter considers the purpose of coaching, mentoring and supervision in early childhood eduaction and care. It examines a number of different approaches and considers the key skills required for effective coaching, mentoring and supervision.

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 Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY PERSONNEL LEGAL ASSISTANCE § 727.11 Supervision. The Judge Advocate General will exercise supervision over all legal assistance activities in the Department of the Navy. Subject to the...

Evaluation of a 2 to 1 peer placement supervision model by physiotherapy students and their educators.

Science.gov (United States)

Alpine, Lucy M; Caldas, Francieli Tanji; Barrett, Emer M

2018-04-02

The objective of the study was to investigate student and practice educator evaluations of practice placements using a structured 2 to 1 supervision and implementation model. Cross-sectional pilot study set in clinical sites providing placements for physiotherapy students in Ireland. Students and practice educators completing a 2.1 peer placement between 2013 and 2015 participated. A self-reported questionnaire which measured indicators linked to quality assured placements was used. Three open-ended questions captured comments on the benefits and challenges associated with the 2 to 1 model. Ten students (10/20; 50% response rate) and 10 practice educators (10/10; 100% response rate) responded to the questionnaire. Student responses included four pairs of students and one student from a further two pairs. There was generally positive agreement with the questionnaire indicating that placements using the 2 to 1 model were positively evaluated by participants. There were no significant differences between students and practice educators. The main benefits of the 2 to 1 model were shared learning experiences, a peer supported environment, and the development of peer evaluation and feedback skills by students. A key component of the model was the peer scripting process which provided time for reflection, self-evaluation, and peer review. 2 to 1 placements were positively evaluated by students and educators when supported by a structured supervision model. Clear guidance to students on the provision of peer feedback and support for educators providing feedback to two different students is recommended.

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

Science.gov (United States)

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

2015-01-01

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

The vision in supervision: transference-countertransference dynamics and disclosure in the supervision relationship.

Science.gov (United States)

Coburn, W J

1997-01-01

The centrality of the supervision experience in the development of the supervisee's personal and professional capacities is addressed. The supervision relationship and process are explored in light of the potential effects of transference-countertransference configurations of supervisor and supervisee. Parallels between supervision and treatment are highlighted. The importance of developing and utilizing the capacity for reflectivity is reviewed, as is the impact of supervisee nondisclosure to supervisor. The direct use of countertransference experiences in the context of supervision is explored, and the centrality of self-disclosure is highlighted. It is recommended that supervisor and supervisee remain receptive to exploring these experiences in the service of developing a shared subjective sense of the patient, of increasing the supervisee's capacity to treat his or her patient, and of providing the supervisee with a novel, growth-enhancing relationship.

Weakly supervised visual dictionary learning by harnessing image attributes.

Science.gov (United States)

Gao, Yue; Ji, Rongrong; Liu, Wei; Dai, Qionghai; Hua, Gang

2014-12-01

Bag-of-features (BoFs) representation has been extensively applied to deal with various computer vision applications. To extract discriminative and descriptive BoF, one important step is to learn a good dictionary to minimize the quantization loss between local features and codewords. While most existing visual dictionary learning approaches are engaged with unsupervised feature quantization, the latest trend has turned to supervised learning by harnessing the semantic labels of images or regions. However, such labels are typically too expensive to acquire, which restricts the scalability of supervised dictionary learning approaches. In this paper, we propose to leverage image attributes to weakly supervise the dictionary learning procedure without requiring any actual labels. As a key contribution, our approach establishes a generative hidden Markov random field (HMRF), which models the quantized codewords as the observed states and the image attributes as the hidden states, respectively. Dictionary learning is then performed by supervised grouping the observed states, where the supervised information is stemmed from the hidden states of the HMRF. In such a way, the proposed dictionary learning approach incorporates the image attributes to learn a semantic-preserving BoF representation without any genuine supervision. Experiments in large-scale image retrieval and classification tasks corroborate that our approach significantly outperforms the state-of-the-art unsupervised dictionary learning approaches.

Stochastic microstructure characterization and reconstruction via supervised learning

International Nuclear Information System (INIS)

Bostanabad, Ramin; Bui, Anh Tuan; Xie, Wei; Apley, Daniel W.; Chen, Wei

2016-01-01

Microstructure characterization and reconstruction have become indispensable parts of computational materials science. The main contribution of this paper is to introduce a general methodology for practical and efficient characterization and reconstruction of stochastic microstructures based on supervised learning. The methodology is general in that it can be applied to a broad range of microstructures (clustered, porous, and anisotropic). By treating the digitized microstructure image as a set of training data, we generically learn the stochastic nature of the microstructure via fitting a supervised learning model to it (we focus on classification trees). The fitted supervised learning model provides an implicit characterization of the joint distribution of the collection of pixel phases in the image. Based on this characterization, we propose two different approaches to efficiently reconstruct any number of statistically equivalent microstructure samples. We test the approach on five examples and show that the spatial dependencies within the microstructures are well preserved, as evaluated via correlation and lineal-path functions. The main advantages of our approach stem from having a compact empirically-learned model that characterizes the stochastic nature of the microstructure, which not only makes reconstruction more computationally efficient than existing methods, but also provides insight into morphological complexity.

Healthcare students' evaluation of the clinical learning environment and supervision - a cross-sectional study.

Science.gov (United States)

Pitkänen, Salla; Kääriäinen, Maria; Oikarainen, Ashlee; Tuomikoski, Anna-Maria; Elo, Satu; Ruotsalainen, Heidi; Saarikoski, Mikko; Kärsämänoja, Taina; Mikkonen, Kristina

2018-03-01

The purpose of clinical placements and supervision is to promote the development of healthcare students´ professional skills. High-quality clinical learning environments and supervision were shown to have significant influence on healthcare students´ professional development. This study aimed to describe healthcare students` evaluation of the clinical learning environment and supervision, and to identify the factors that affect these. The study was performed as a cross-sectional study. The data (n = 1973) were gathered through an online survey using the Clinical Learning Environment, Supervision and Nurse Teacher scale during the academic year 2015-2016 from all healthcare students (N = 2500) who completed their clinical placement at a certain university hospital in Finland. The data were analysed using descriptive statistics and binary logistic regression analysis. More than half of the healthcare students had a named supervisor and supervision was completed as planned. The students evaluated the clinical learning environment and supervision as 'good'. The students´ readiness to recommend the unit to other students and the frequency of separate private unscheduled sessions with the supervisor were the main factors that affect healthcare students` evaluation of the clinical learning environment and supervision. Individualized and goal-oriented supervision in which the student had a named supervisor and where supervision was completed as planned in a positive environment that supported learning had a significant impact on student's learning. The clinical learning environment and supervision support the development of future healthcare professionals' clinical competence. The supervisory relationship was shown to have a significant effect on the outcomes of students' experiences. We recommend the planning of educational programmes for supervisors of healthcare students for the enhancement of supervisors' pedagogical competencies in supervising students in

Supervised learning based model for predicting variability-induced timing errors

NARCIS (Netherlands)

Jiao, X.; Rahimi, A.; Narayanaswamy, B.; Fatemi, H.; Pineda de Gyvez, J.; Gupta, R.K.

2015-01-01

Circuit designers typically combat variations in hardware and workload by increasing conservative guardbanding that leads to operational inefficiency. Reducing this excessive guardband is highly desirable, but causes timing errors in synchronous circuits. We propose a methodology for supervised

Supervision som undervisningsform i voksenspecialundervisningen

DEFF Research Database (Denmark)

Kristensen, René

2000-01-01

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

Semi-Supervised Multitask Learning for Scene Recognition.

Science.gov (United States)

Lu, Xiaoqiang; Li, Xuelong; Mou, Lichao

2015-09-01

Scene recognition has been widely studied to understand visual information from the level of objects and their relationships. Toward scene recognition, many methods have been proposed. They, however, encounter difficulty to improve the accuracy, mainly due to two limitations: 1) lack of analysis of intrinsic relationships across different scales, say, the initial input and its down-sampled versions and 2) existence of redundant features. This paper develops a semi-supervised learning mechanism to reduce the above two limitations. To address the first limitation, we propose a multitask model to integrate scene images of different resolutions. For the second limitation, we build a model of sparse feature selection-based manifold regularization (SFSMR) to select the optimal information and preserve the underlying manifold structure of data. SFSMR coordinates the advantages of sparse feature selection and manifold regulation. Finally, we link the multitask model and SFSMR, and propose the semi-supervised learning method to reduce the two limitations. Experimental results report the improvements of the accuracy in scene recognition.

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

Science.gov (United States)

Dong, Yadong; Sun, Yongqi; Qin, Chao

2018-01-01

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

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

Science.gov (United States)

Zhou, Fuqun; Zhang, Aining

2016-10-25

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

Learning Dynamics in Doctoral Supervision

DEFF Research Database (Denmark)

Kobayashi, Sofie

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

A case study exploring the experience of resilience-based clinical supervision and its influence on care towards self and others among student nurses

Directory of Open Access Journals (Sweden)

Gemma Stacey

2017-11-01

Full Text Available Background: Healthcare organisations are increasingly recognising their responsibility to support the wellbeing of nurses as a result of the accumulative demands of their role. Resilience-based clinical supervision is a newly developed intervention that encourages practitioners to pay attention and apply reasoning to behaviours and responses to emotive scenarios through a process of stress alleviation and prevention. Aims: To evaluate an intervention aimed at supporting pre-registration nursing students to develop resilience-based competencies that enable them to regulate their response to stress and monitor their own wellbeing using mindfulness, reflective discussion and positive reframing. Method: Case study methodology was used to explore how the characteristics associated with the expression and maintenance of resilience have been influenced by the intervention. Data were collected through focus groups at three timepoints with students and at the end of the intervention period with supervision facilitators, and then analysed by pattern matching to theoretical propositions. Findings: Participants expressed positive experiences of resilience-based clinical supervision. Their perception of the importance of self-care increased and their commitment to caring for others was maintained. They continued to demonstrate competencies of self-care six months after qualifying as nurses, despite the complexities of the workplace. As qualified nurses, participants recognised the implications of limited time and resources on the quality of care they were able to provide to patients, but they externalised this as organisational failings as opposed to personal inadequacy, and worked around such constraints where possible to maintain personal standards. Conclusion: Resilience-based clinical supervision has the potential to support healthcare practitioners in developing resilience-based competencies that allow them to recognise and attend to workplace stressors

A supervised learning rule for classification of spatiotemporal spike patterns.

Science.gov (United States)

Lilin Guo; Zhenzhong Wang; Adjouadi, Malek

2016-08-01

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

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...

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…

Issues in Teaching Practice Supervision Research: A Review of the Literature.

Science.gov (United States)

Boydell, Deanne

1986-01-01

Research has raised fundamental questions about the traditional supervisor-student-class teacher triad of student teaching and the influence of the social context in which it operates. Some alternative approaches to supervision are reviewed and problems of reconceptualizing the supervisor's role are examined. (Author/MT)

Supervision in Physical Education Teacher Education Programs: Making the Case for Paired Placements

Science.gov (United States)

Heidorn, Brent; Jenkins, Deborah Bainer

2015-01-01

Many student teaching experiences in physical education teacher education programs face challenges related to supervision and realistic preparation for the workplace. This article suggests paired placements as a model for effective supervision and increased collaboration during the student teaching internship.

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…

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...

BANKING SUPERVISION IN EUROPEAN UNION

Directory of Open Access Journals (Sweden)

Lavinia Mihaela GUȚU

2013-10-01

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

Methods of Feminist Family Therapy Supervision.

Science.gov (United States)

Prouty, Anne M.; Thomas, Volker; Johnson, Scott; Long, Janie K.

2001-01-01

Presents three supervision methods which emerged from a qualitative study of the experiences of feminist family therapy supervisors and the therapists they supervised: the supervision contract, collaborative methods, and hierarchical methods. Provides a description of the participants' experiences of these methods and discusses their fit with…

Academic Rigor or Academic Rigor Mortis? Supervising Dissertations Is Serious Business

Science.gov (United States)

Wright, Robin Redmon

2017-01-01

This reflection considers the importance of and responsibility to graduate research supervision through an examination of a published dissertation that has had significant influence on the country's current immigration debate. The author exhorts both graduate students and adult education faculty to insist on clearly stated theoretical and…

Factors influencing the effectiveness of clinical learning environment in nursing education

Directory of Open Access Journals (Sweden)

Elena Gurková

2016-08-01

Full Text Available Aim: The purpose of the cross-sectional descriptive study was to investigate how nursing students evaluate particular factors of clinical learning environment during their professional placement in hospitals. We explored which factors of clinical environment contribute significantly to students' evaluation of it. Design: A descriptive cross-sectional study. Methods: The sample included 503 nursing students in their second or third year of study at six Slovak universities. A valid and reliable questionnaire, the Clinical Learning Environment, Supervision and Nurse Teacher evaluation scale (CLES+T, was used to evaluate the student nurses' experiences and clinical placement. The data were analysed using descriptive statistics, Pearson's chi-square test, multifactorial ANOVA procedure and Pearsons' correlations, and p-value < 0.05 was taken to indicate statistical significance for all comparisons. Results: A significant proportion of students experienced a traditional model of group supervision. Supervision method, supervisory session frequency, and duration of clinical placement had a significant impact on their evaluation of clinical environments. Conclusion: Supervision methods are a significant factor influencing student evaluation of their clinical placement environment. Compared to other European studies, we found a less frequent application of individual supervision and that the Slovak university setting is dominated by a traditional group model of supervision. The study offers a valuable insight into the analysis of factors contributing to improvements in clinical learning environment and models of clinical or workplace training.

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 PRISONERS, YOUTH OFFENDERS, AND JUVENILE DELINQUENTS District of Columbia Code: Prisoners and Parolees § 2.91 Supervision responsibility. (a) Pursuan...

Optimistic semi-supervised least squares classification

DEFF Research Database (Denmark)

Krijthe, Jesse H.; Loog, Marco

2017-01-01

The goal of semi-supervised learning is to improve supervised classifiers by using additional unlabeled training examples. In this work we study a simple self-learning approach to semi-supervised learning applied to the least squares classifier. We show that a soft-label and a hard-label variant ...

Nursing supervision for care comprehensiveness.

Science.gov (United States)

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

2017-01-01

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

Using Supervised Deep Learning for Human Age Estimation Problem

Science.gov (United States)

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

2017-05-01

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

20 CFR 655.30 - Supervised recruitment.

Science.gov (United States)

2010-04-01

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

Impact of data transformation and preprocessing in supervised ...

African Journals Online (AJOL)

Impact of data transformation and preprocessing in supervised learning ... Nowadays, the ideas of integrating machine learning techniques in power system has ... The proposed algorithm used Python-based split train and k-fold model ...

Evolution in banking supervision

OpenAIRE

Edward J. Stevens

2000-01-01

Banking supervision must keep pace with technical innovations in the banking industry. The international Basel Committee on Banking Supervision currently is reviewing public comments on its proposed new method for judging whether a bank maintains enough capital to absorb unexpected losses. This Economic Commentary explains how existing standards became obsolete and describes the new plan.

Projected estimators for robust semi-supervised classification

DEFF Research Database (Denmark)

Krijthe, Jesse H.; Loog, Marco

2017-01-01

For semi-supervised techniques to be applied safely in practice we at least want methods to outperform their supervised counterparts. We study this question for classification using the well-known quadratic surrogate loss function. Unlike other approaches to semi-supervised learning, the procedure...... specifically, we prove that, measured on the labeled and unlabeled training data, this semi-supervised procedure never gives a lower quadratic loss than the supervised alternative. To our knowledge this is the first approach that offers such strong, albeit conservative, guarantees for improvement over...... the supervised solution. The characteristics of our approach are explicated using benchmark datasets to further understand the similarities and differences between the quadratic loss criterion used in the theoretical results and the classification accuracy typically considered in practice....

ADMINISTRATIVE SUPERVISION OF LOCAL SELF-GOVERNMENT IN THE BALTIC STATES: A COMPARATIVE VIEW

Directory of Open Access Journals (Sweden)

VIOLETA KIURIENÉ

2015-12-01

Full Text Available The article analyses models of administrative supervision of local self-government in the Baltic States (Latvia, Lithuania, Estonia highlighting the advantages and disadvantages of these models. The research done in this article defines the theoretical concept of administrative supervision of local self-government; gives an overview of the legislative framework underpining the key administrative supervision bodies of local self-government in the Baltic States; discusses the issue of legal regulation and the present state of administrative supervision over local self-government units in the Baltic States; gives some theoretical and practical suggestions to develop this field in the Baltic States.The research methods employed in preparation of this article are theoretical methods of analysis of scientific literature and sources, legal acts and documents as well as comparative and logical analysis, induction and generalisation. Three Baltic States similar in their area, number of inhabitants, and governmental peculiarities have been chosen for the analysis.

Decreased re-conviction rates of DUI offenders with intensive supervision and home confinement.

Science.gov (United States)

Barta, William D; Fisher, Virginia; Hynes, Patrick

2017-11-01

In some jurisdictions, persons who are convicted of driving under the influence of alcohol (DUI) are allowed to serve some portion of their prison sentence under home confinement as part of Intensive Supervision Programs (ISPs) which include pre-release psycho-education and close post-release supervision. Test the hypothesis that persons convicted of DUI offenses who have spent some portion of their sentence under home confinement, as compared to a historical comparison group, will exhibit a relatively low re-conviction rate. Using administrative data for 1,410 repeat DUI offenders (302 members of the historical comparison group, 948 ISP members, and 160 persons who appear in both groups at different points in time), with a follow-up period of up to 3 years and 10 months, a marginal Cox model was employed to compare conviction rates of persons who experienced intensive supervision and home confinement with historical comparison group members. Persons with ISP + home confinement experience a re-conviction rate that is less than half that observed in the comparison group. Age, ethnicity (white vs. non-white), and gender are also significant predictors of re-conviction. Home confinement, in conjunction with psycho-education and other program elements, is one means of reducing the costs of incarceration. The results of this study suggest that, in addition to cost savings, states may realize a public safety benefit in the form of a reduction in DUI offense rates.

A Model for Art Therapy-Based Supervision for End-of-Life Care Workers in Hong Kong.

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Potash, Jordan S; Chan, Faye; Ho, Andy H Y; Wang, Xiao Lu; Cheng, Carol

2015-01-01

End-of-life care workers and volunteers are particularly prone to burnout given the intense emotional and existential nature of their work. Supervision is one important way to provide adequate support that focuses on both professional and personal competencies. The inclusion of art therapy principles and practices within supervision further creates a dynamic platform for sustained self-reflection. A 6-week art therapy-based supervision group provided opportunities for developing emotional awareness, recognizing professional strengths, securing collegial relationships, and reflecting on death-related memories. The structure, rationale, and feedback are discussed.

Current Risk Management Practices in Psychotherapy Supervision.

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

2017-12-01

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

Deconstructing Risk Management in Psychotherapy Supervision.

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Kroll, Jerome; Radden, Jennifer

2017-12-01

In the ongoing controversy over how much regulation and standardization to impose on clinical practice and research, it is not surprising that the activity of psychotherapy supervision should be swept up in the drive for uniformity. The managers amongst us want to regulate and institutionalize all aspects of practice. In opposition, many clinicians resist the relentless march toward the safety of uniformity travel alongside managerial imposition of regulations. Psychotherapy supervision's method of a close apprenticeship relationship between supervisor and trainee and its focus on the process and ethics of professional interaction stand at the humanistic core of what is otherwise becoming an increasingly mechanistic model of providing care to persons with mental illness. Our commentary picks up on these themes as it reviews the work by Mehrtens et al about strengthening awareness of liability in psychiatry residency training programs. We argue that the practice of psychiatry is overburdened by documentation requirements. In imposing further record-keeping on psychotherapy supervision, we lose much more than we gain. We recommend that the supervisory process focus on the characterological virtues essential to functioning as an ethical therapist. We also argue that self-protective rules place restraints on possibilities for imaginative insights and innovations in psychotherapy. © 2017 American Academy of Psychiatry and the Law.

A Study of Supervision of China's Commercial Banks from the Perspective of the Trinity-Characteristics of Bank Supervision System

Institute of Scientific and Technical Information of China (English)

LV Jianglin; HUANG Guang

2015-01-01

Based on the theoretical analysis,this paper applies the entropy method to establish a comprehensive index system for the evaluation of the overall level of risk control and comprehensive efficiency of the supervision of China's commercial banks.Considering the trinity-characteristics of bank supervision system consisting of the People's Bank of China(PBC),the CBRC and the financial offices of local governments,the following conclusions have been drawn:the amount of penalties on banking illegal transactions is not correlated with the supervision efficiency of China's commercial banks;the capital adequacy ratio,the loan to deposit ratio,the percentage point of the non-performing loan rate of urban commercial banks higher than that of the national joint-stock banks are negatively correlated with the supervision efficiency of China 's commercial banks;the total asset variation of the PBC and the different loan balance in local and foreign currency of the banks are positively correlated with the supervision efficiency of China's commercial banks,but the effect is minor.Therefore,China should give the capital adequacy ratio a full play in the bank supervision,accelerate the construction of supervision information system and improve the supervision function of the local governments.

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.

Detection of Erroneous Payments Utilizing Supervised And Unsupervised Data Mining Techniques

National Research Council Canada - National Science Library

Yanik, Todd

2004-01-01

... (C&RT)) modeling algorithms. S-Plus software was used to construct a supervised model of vendor payment data using Logistic Regression, along with the Hosmer-Lemeshow Test, for testing the predictive ability of the model...

Intelligent multivariate process supervision

International Nuclear Information System (INIS)

Visuri, Pertti.

1986-01-01

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

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

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Teranishi, Masaru; Omatu, Sigeru; Kosaka, Toshihisa

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

On psychoanalytic supervision as signature pedagogy.

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Watkins, C Edward

2014-04-01

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

Abusive Supervision and Subordinate Performance : Instrumentality Considerations in the Emergence and Consequences of Abusive Supervision

NARCIS (Netherlands)

Walter, Frank; Lam, Catherine K.; van der Vegt, Geert; Huang, X.; Miao, Q.

Drawing from moral exclusion theory, this article examines outcome dependence and interpersonal liking as key boundary conditions for the linkage between perceived subordinate performance and abusive supervision. Moreover, it investigates the role of abusive supervision for subordinates' subsequent,

Post-Disaster Social Justice Group Work and Group Supervision

Science.gov (United States)

Bemak, Fred; Chung, Rita Chi-Ying

2011-01-01

This article discusses post-disaster group counseling and group supervision using a social justice orientation for working with post-disaster survivors from underserved populations. The Disaster Cross-Cultural Counseling model is a culturally responsive group counseling model that infuses social justice into post-disaster group counseling and…

Supervision of radiation environment management of nuclear facilities

International Nuclear Information System (INIS)

Luo Mingyan

2013-01-01

Through literature and documents, the basis, content and implementation of the supervision of radiation environment management of nuclear facilities were defined. Such supervision was extensive and complicated with various tasks and overlapping duties, and had large social impact. Therefore, it was recommend to make further research on this supervision should be done, clarify and specify responsibilities of the executor of the supervision so as to achieve institutionalization, standardization and routinization of the supervision. (author)

Skærpet bevidsthed om supervision

DEFF Research Database (Denmark)

Pedersen, Inge Nygaard

2002-01-01

This article presents a historical survey of the initiatives which have taken place in european music therapy towards developing a deeper consciousness about supervision. Supervision as a disciplin in music therapy training, as a maintenance of music therapy profession and as a postgraduate...... training for examined music therapists. Definitions are presented and methods developed by working groups in european music therapy supervision are presented....

Human Supervision of Multiple Autonomous Vehicles

Science.gov (United States)

2013-03-22

AFRL-RH-WP-TR-2013-0143 HUMAN SUPERVISION OF MULTIPLE AUTONOMOUS VEHICLES Heath A. Ruff Ball...REPORT TYPE Interim 3. DATES COVERED (From – To) 09-16-08 – 03-22-13 4. TITLE AND SUBTITLE HUMAN SUPERVISION OF MULTIPLE AUTONOMOUS VEHICLES 5a...Supervision of Multiple Autonomous Vehicles To support the vision of a system that enables a single operator to control multiple next-generation

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

Science.gov (United States)

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

2018-05-01

Clinical supervision is a central part of psychotherapist training but the empirical support for specific supervision theories or features is unclear. The aims of this study were to systematically review the empirical research literature regarding the effects of clinical supervision on therapists' competences and clinical outcomes within Cognitive Behavior Therapy (CBT). A comprehensive database search resulted in 4103 identified publications. Of these, 133 were scrutinized and in the end 5 studies were included in the review for data synthesis. The five studies were heterogeneous in scope and quality and only one provided firm empirical support for the positive effects of clinical supervision on therapists' competence. The remaining four studies suffered from methodological weaknesses, but provided some preliminary support that clinical supervision may be beneficiary for novice therapists. No study could show benefits from supervision for patients. The research literature suggests that clinical supervision may have some potential effects on novice therapists' competence compared to no supervision but the effects on clinical outcomes are still unclear. While bug-in-the-eye live supervision may be more effective than standard delayed supervision, the effects of specific supervision models or features are also unclear. There is a continued need for high-quality empirical studies on the effects of clinical supervision in psychotherapy.

Satellite image simulations for model-supervised, dynamic retrieval of crop type and land use intensity

Science.gov (United States)

Bach, H.; Klug, P.; Ruf, T.; Migdall, S.; Schlenz, F.; Hank, T.; Mauser, W.

2015-04-01

To support food security, information products about the actual cropping area per crop type, the current status of agricultural production and estimated yields, as well as the sustainability of the agricultural management are necessary. Based on this information, well-targeted land management decisions can be made. Remote sensing is in a unique position to contribute to this task as it is globally available and provides a plethora of information about current crop status. M4Land is a comprehensive system in which a crop growth model (PROMET) and a reflectance model (SLC) are coupled in order to provide these information products by analyzing multi-temporal satellite images. SLC uses modelled surface state parameters from PROMET, such as leaf area index or phenology of different crops to simulate spatially distributed surface reflectance spectra. This is the basis for generating artificial satellite images considering sensor specific configurations (spectral bands, solar and observation geometries). Ensembles of model runs are used to represent different crop types, fertilization status, soil colour and soil moisture. By multi-temporal comparisons of simulated and real satellite images, the land cover/crop type can be classified in a dynamically, model-supervised way and without in-situ training data. The method is demonstrated in an agricultural test-site in Bavaria. Its transferability is studied by analysing PROMET model results for the rest of Germany. Especially the simulated phenological development can be verified on this scale in order to understand whether PROMET is able to adequately simulate spatial, as well as temporal (intra- and inter-season) crop growth conditions, a prerequisite for the model-supervised approach. This sophisticated new technology allows monitoring of management decisions on the field-level using high resolution optical data (presently RapidEye and Landsat). The M4Land analysis system is designed to integrate multi-mission data and is

Supervision of professionals: Interdependency between embodied experiences and professional knowledge

Directory of Open Access Journals (Sweden)

Aud Marie Øien

2015-11-01

Full Text Available Social work counsellors, exposed to hardships of clients’ lives, might, over time, experience strain as bodily reactions of muscle tension and pain. Within the framework of improving professional practice, the aim was to explore meanings attached to moving and breathing by studying the influence of supervision, encompassing experiences and reflections on bodily exercises, and reflection on challenging professional experiences. Action research of interdisciplinary supervision for seven counsellors, based on observations, field notes, reflection notes, and a focus group interview, was carried out. Data were analysed across participants within sessions and over time to compare meaning variations. The counsellors’ change of experiences were identified as phases: What is in it for me, not knowing what to perceive, attention as basis for knowing how to move, experiencing and creating connections, and knowing oneself better. Adjusted to change of experiences, supervisors encouraged counsellors to give attention to, become aware of, and relieve and explore muscle tension and breathing restrictions to contexts of meaning. Supervision based on movement opened access to personal learning. Supervision as approaches of movements and reflections contributed to increased self-knowledge in professional social work practices. Based on ability to perceive and relieve muscle tension and flow of breathing, the approach might be a potential for professionals to handle challenging situations. The findings, related to the lived body, encompass appearances of new meanings and new uses to experiences of muscular tension and flow of breathing.

The Comprehensive Evaluation Method of Supervision Risk in Electricity Transaction Based on Unascertained Rational Number

Science.gov (United States)

Haining, Wang; Lei, Wang; Qian, Zhang; Zongqiang, Zheng; Hongyu, Zhou; Chuncheng, Gao

2018-03-01

For the uncertain problems in the comprehensive evaluation of supervision risk in electricity transaction, this paper uses the unidentified rational numbers to evaluation the supervision risk, to obtain the possible result and corresponding credibility of evaluation and realize the quantification of risk indexes. The model can draw the risk degree of various indexes, which makes it easier for the electricity transaction supervisors to identify the transaction risk and determine the risk level, assisting the decision-making and realizing the effective supervision of the risk. The results of the case analysis verify the effectiveness of the model.

"I think he is in his room playing a video game": parental supervision of young elementary-school children at home.

Science.gov (United States)

Morrongiello, Barbara A; Kane, Alexa; Zdzieborski, Daniel

2011-07-01

Using a prospective design, this research examined supervision of young elementary-school children at home and how this relates to child injury, parent permissiveness, and children's risk-taking propensity. Mothers reported children's history of injuries and recorded home supervision over a 2-month interval on a weekly basis. Children independently completed diaries about daily events, including injuries. Children spent 24% of time alone, mostly supervised intermittently or not at all. Parent permissiveness was associated with increased time unsupervised, while children's risk-taking propensity was associated with decreased time unsupervised. Greater direct supervision was associated with fewer injuries, while more indirect and non-supervision time emerged as risk factors and were associated with more frequent injury. These results extend those from preschool-aged children and suggest that caregiver supervision influences risk of injury across a broad age range throughout childhood. Implications for children's safety are discussed.

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.

BRONCHIAL ASTHMA SUPERVISION AMONG TEENAGERS

Directory of Open Access Journals (Sweden)

N.M. Nenasheva

2008-01-01

Full Text Available The article highlights the results of the act test based bronchial asthma supervision evaluation among teenagers and defines the interrelation of the objective and subjective asthma supervision parameters. The researchers examined 214 male teenagers aged from 16 to 18, suffering from the bronchial asthma, who were sent to the allergy department to verify the diagnosis. Bronchial asthma supervision evaluation was assisted by the act test. The research has showed that over a half (56% of teenagers, suffering from mild bronchial asthma, mention its un control course, do not receive any adequate pharmacotherapy and are consequently a risk group in terms of the bronchial asthma exacerbation. Act test results correlate with the functional indices (fev1, as well as with the degree of the bronchial hyperresponsiveness, which is one of the markers of an allergic inflammation in the lower respiratory passages.Key words: bronchial asthma supervision, act test, teenagers.

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…

Projected estimators for robust semi-supervised classification

NARCIS (Netherlands)

Krijthe, J.H.; Loog, M.

2017-01-01

For semi-supervised techniques to be applied safely in practice we at least want methods to outperform their supervised counterparts. We study this question for classification using the well-known quadratic surrogate loss function. Unlike other approaches to semi-supervised learning, the

A cross-cultural comparison of clinical supervision in South Korea and the United States.

Science.gov (United States)

Son, Eunjung; Ellis, Michael V

2013-06-01

We investigated similarities and differences in clinical supervision in two cultures: South Korea and the United States The study had two parts: (1) a test of the cross-cultural equivalence of four supervision measures; and (2) a test of two competing models of cultural differences in the relations among supervisory style, role difficulties, supervisory working alliance, and satisfaction with supervision. Participants were 191 South Korean and 187 U.S. supervisees currently engaged in clinical supervision. The U.S. measures demonstrated sufficient measurement equivalence for use in South Korea. Cultural differences moderated the relations among supervisory styles, role difficulties, supervisory working alliance, and supervision satisfaction. Specifically, the relations among these variables were significantly stronger for U.S. than for South Korean supervisees. Implications for theory, research, and practice were discussed.

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 OF PRISONERS, YOUTH OFFENDERS, AND JUVENILE DELINQUENTS District of Columbia Supervised Releasees § 2.207 Supervision reports to Commission. A...

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,…

Supervision Provided to Indigenous Australian Doctoral Students: A Black and White Issue

Science.gov (United States)

Trudgett, Michelle

2014-01-01

The number of Indigenous Australians completing doctoral qualifications is disparately below their non-Indigenous contemporaries. Whilst there has been a steady increase in Indigenous completions in recent years, significant work remains to redress the imbalance. Supervision has been identified as a primary influencer of the likely success of…

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

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Chilton, Helen; McCracken, Wendy

2017-01-01

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

Collage work as a medium for guided reflection in the clinical supervision relationship.

Science.gov (United States)

Williams, B

2000-05-01

This paper identifies the value of one form of art as a means of enhancing communication and developing self expression. The medium of magazine picture collage is described with explanation of its application in the clinical supervision setting where it is used as a trigger for reflective questioning to clarify issues, examine perceptions and facilitate learning from experience. The assembly of magazine pictures as a collage allows metaphorical representation of events and influences through which the supervisee can 'see' their situation from different perspectives. This medium is used as a starting point for discussion in the supervision setting where reflective questioning by the supervisor is framed around the collage images in order to clarify relationships of the issues presented and the personal meanings and values of these to the supervisee. This method is offered as a means of supporting existing systems of supervision not a replacement for these and is perceived to be of particular value in situations where facilitation of expression by means other than dialogue alone is felt to be required in order to move the supervision process forward and enhance personal learning from this.

Multicultural supervision: lessons learned about an ongoing struggle.

Science.gov (United States)

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

2011-01-01

This article examines the experiences of seven diverse therapists in a supervision course as they wrestled with the real-world application of multicultural supervision. Existing literature on multicultural supervision does not address the difficulties that arise in addressing multicultural issues in the context of the supervision relationship. The experiences of six supervisory candidates and one mentoring supervisor in addressing multicultural issues in supervision are explored. Guidelines for conversations regarding multicultural issues are provided. © 2011 American Association for Marriage and Family Therapy.

Optimum supervision intervals and order of supervision in nuclear reactor protective systems

International Nuclear Information System (INIS)

Kontoleon, J.M.

1978-01-01

The optimum inspection strategy of an m-out-of-n:G nuclear reactor protective system with nonidentical units is analyzed. A 2-out-of-4:G system is used to formulate a multi-variable optimization problem to determine (a) the optimum order of supervision of the units and (b) the optimum supervision intervals between units. The case of systems with identical units is a special case of the above. Numerical results are derived using a computer algorithm

Analysis of safety supervision effect on coal mine using game theory

Energy Technology Data Exchange (ETDEWEB)

Zhou Min; Xiao Zhong-hai [China University of Mining & Technology, Xuzhou (China). School of Management

2006-07-01

A two-phase game model was constructed based on economic game theory to improve the inefficient supervision conditions of coalmining enterprises' safety production. The inner mechanism of safety supervision system was carefully studied. The strategy set of the dynamic game-theory relations between colliery proprietor and safety supervision department and the strict competitive game-theory relations between safety supervision department and workers at the production line was analyzed. The conditions of achieving the dominant-strategy equilibrium were revealed. Upon this basis, the possible solution set of safety benefit distribution for the cooperative game-theory of triple party was obtained and the effective and cooperative fair solution was formed. Finally, conclusions are drawn as follows: the combination of necessary penalty to supervisors and operators with the fair distribution of safety benefits can realize the zero-defect of operational violation, so that the violation behavior can be completely avoided. 10 refs., 7 figs.

Safety supervision on high-pressure gas regulations

International Nuclear Information System (INIS)

Lee, Won Il

1991-01-01

The first part lists the regulation on safety supervision of high-pressure gas, enforcement ordinance on high-pressure gas safety supervision and enforcement regulations about high-pressure gas safety supervision. The second part indicates safety regulations on liquefied petroleum gas and business, enforcement ordinance of safety on liquefied petroleum gas and business, enforcement regulation of safety supervision over liquefied petroleum gas and business. The third part lists regulation on gas business, enforcement ordinance and enforcement regulations on gas business. Each part has theory and explanation for questions.

Nuclear safety culture and nuclear safety supervision

International Nuclear Information System (INIS)

Chai Jianshe

2013-01-01

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

Abusive Supervision Scale Development in Indonesia

OpenAIRE

Wulani, Fenika; Purwanto, Bernadinus M; Handoko, Hani

2014-01-01

The purpose of this study was to develop a scale of abusive supervision in Indonesia. The study was conducted with a different context and scale development method from Tepper’s (2000) abusive supervision scale. The abusive supervision scale from Tepper (2000) was developed in the U.S., which has a cultural orientation of low power distance. The current study was conducted in Indonesia, which has a high power distance. This study used interview procedures to obtain information about superviso...

The crossover of psychological distress from leaders to subordinates in teams: The role of abusive supervision, psychological capital, and team performance.

Science.gov (United States)

Li, Yuhui; Wang, Zhen; Yang, Liu-Qin; Liu, Songbo

2016-04-01

This study examines the underlying mechanism of the crossover process in work teams. Drawing on conservation of resources theory, we hypothesize that a leader's psychological distress positively influences subordinates' psychological distress through abusive supervision. We further hypothesize that team performance attenuates the association between a leader's psychological distress and abusive supervision. In addition, we expect that psychological capital attenuates the positive relationship between abusive supervision and subordinates' psychological distress. Participants were drawn from 86 business teams, and multisource data were collected. The hypotheses were tested with multilevel analysis. Results supported the crossover of psychological distress from leader to subordinates, and abusive supervision serves as a mediating mechanism. The positive relationship between a leader's distress and abusive supervision is stronger when team performance is lower. In addition, the positive relationship between abusive supervision and subordinates' psychological distress is stronger when subordinates' psychological capital is lower. (c) 2016 APA, all rights reserved).

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

Directory of Open Access Journals (Sweden)

Sílvia Marlene Monteiro Teixeira

2016-06-01

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

Supervising nursing students in a technology-driven medication administration process in a hospital setting

DEFF Research Database (Denmark)

Gaard, Mette; Orbæk, Janne

2016-01-01

REVIEW QUESTION/OBJECTIVE: The objective of this review is to identify, describe and synthesize the experiences of nurse supervisors and the factors that influence the supervision of pre-graduate nursing students in undertaking technology-driven medication administration in hospital settings...

Burnout in Chinese coal mine safety supervision

International Nuclear Information System (INIS)

Chen, Hong; Chen, Feiyu; Zhu, Dandan; Qi, Hui; Long, Ruyin

2015-01-01

This study examines commonly-suffered job burnout as it relates to the practice of safety supervision in Chinese coal mine enterprises. Commonly-suffered job burnout is a form of job burnout caused by external factors. It is closely related to task characteristics rather than individual idiosyncrasies. To explore the causes of commonly-suffered job burnout, the special attributes (the integrated output attributes, conditional output attributes, and public goods attributes) of coal mine safety output and the inevitability of the invalidation of the bounded authority in safety supervision were analyzed in this study, which reveals the formation mechanism of commonly-suffered job burnout. Moreover, a confirmatory game model was constructed to analyze how the attributes of the safety output and bounded authority of safety supervision act on the safety output. The theoretical connotation of commonly-suffered job burnout was explained based on the job demands-resources theory. A comparative analysis of commonly-suffered job burnout and the job burnout that occurs in the traditional research object was also undertaken from the viewpoint of the job demands, which are determined by the characteristics of the work task and their corresponding coping resources. Policy suggestions were given based on interventions in commonly-suffered job burnout. -- Highlights: •We discuss commonly-suffered job burnout in Chinese coal enterprises. •We analyze the special attributes of coal mine safety output. •We explore two main causes of commonly-suffered job burnout. •We construct a game model to validate how the two causes act on safety output. •We put forward related policy suggestions

A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data

Directory of Open Access Journals (Sweden)

Hongchao Song

2017-01-01

Full Text Available Anomaly detection, which aims to identify observations that deviate from a nominal sample, is a challenging task for high-dimensional data. Traditional distance-based anomaly detection methods compute the neighborhood distance between each observation and suffer from the curse of dimensionality in high-dimensional space; for example, the distances between any pair of samples are similar and each sample may perform like an outlier. In this paper, we propose a hybrid semi-supervised anomaly detection model for high-dimensional data that consists of two parts: a deep autoencoder (DAE and an ensemble k-nearest neighbor graphs- (K-NNG- based anomaly detector. Benefiting from the ability of nonlinear mapping, the DAE is first trained to learn the intrinsic features of a high-dimensional dataset to represent the high-dimensional data in a more compact subspace. Several nonparametric KNN-based anomaly detectors are then built from different subsets that are randomly sampled from the whole dataset. The final prediction is made by all the anomaly detectors. The performance of the proposed method is evaluated on several real-life datasets, and the results confirm that the proposed hybrid model improves the detection accuracy and reduces the computational complexity.

46 CFR 131.420 - Manning and supervision.

Science.gov (United States)

2010-10-01

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

Conditional High-Order Boltzmann Machines for Supervised Relation Learning.

Science.gov (United States)

Huang, Yan; Wang, Wei; Wang, Liang; Tan, Tieniu

2017-09-01

Relation learning is a fundamental problem in many vision tasks. Recently, high-order Boltzmann machine and its variants have shown their great potentials in learning various types of data relation in a range of tasks. But most of these models are learned in an unsupervised way, i.e., without using relation class labels, which are not very discriminative for some challenging tasks, e.g., face verification. In this paper, with the goal to perform supervised relation learning, we introduce relation class labels into conventional high-order multiplicative interactions with pairwise input samples, and propose a conditional high-order Boltzmann Machine (CHBM), which can learn to classify the data relation in a binary classification way. To be able to deal with more complex data relation, we develop two improved variants of CHBM: 1) latent CHBM, which jointly performs relation feature learning and classification, by using a set of latent variables to block the pathway from pairwise input samples to output relation labels and 2) gated CHBM, which untangles factors of variation in data relation, by exploiting a set of latent variables to multiplicatively gate the classification of CHBM. To reduce the large number of model parameters generated by the multiplicative interactions, we approximately factorize high-order parameter tensors into multiple matrices. Then, we develop efficient supervised learning algorithms, by first pretraining the models using joint likelihood to provide good parameter initialization, and then finetuning them using conditional likelihood to enhance the discriminant ability. We apply the proposed models to a series of tasks including invariant recognition, face verification, and action similarity labeling. Experimental results demonstrate that by exploiting supervised relation labels, our models can greatly improve the performance.

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 INVESTIGATIONS ARMED FORCES DISCIPLINARY CONTROL BOARDS AND OFF-INSTALLATION LIAISON AND OPERATIONS General § 631.3 Supervision. The following will...

The Role of Environmental Hazard in Mothers' Beliefs about Appropriate Supervision

Science.gov (United States)

Damashek, Amy; Borduin, Charles; Ronis, Scott

2014-01-01

Understanding factors that influence mothers' beliefs about appropriate levels of supervision for their children may assist in efforts to reduce child injury rates. This study examined the interaction of child (i.e. age, gender, and injury risk behavior) and maternal perception of environmental hazard (i.e. hazard level, injury likelihood,…

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.

Supervision in social work NGOs in Bihor County

Directory of Open Access Journals (Sweden)

Cristiana Marcela MARC

2012-01-01

Full Text Available This paper presents a qualitative research which aims at analyzing supervision in the social services provided by NGOs in Bihor County. We used the method of sociological investigation by means of interview and data collection was accomplished through the technique of individual semi-structured interview. The obtained responses demonstrate that individual supervision was mostly used and in most cases the professional supervisor was from outside the organization. The respondents considered that supervision reduces professional stress. The main problems encountered in the implementation of supervision are the lack of financial resources and the association of supervision with bureaucratic control.

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

Science.gov (United States)

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

2011-06-06

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

Medical supervision of radiation workers

International Nuclear Information System (INIS)

Santani, S.B.; Nandakumar, A.N.; Subramanian, G.

1982-01-01

The basic elements of an occupational medical supervision programme for radiation workers are very much the same as those relevant to other professions with some additional special features. This paper cites examples from literature and recommends measures such as spot checks and continuance of medical supervision even after a radiation worker leaves this profession. (author)

Reflections on the supervised relationship and interaction in nursing clinical training

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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.

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.

Characteristics of Infant Deaths during Sleep While Under Nonparental Supervision.

Science.gov (United States)

Lagon, Elena; Moon, Rachel Y; Colvin, Jeffrey D

2018-03-28

To compare risk factors for infant sleep-related deaths under the supervision of parents and nonparents. We conducted a secondary analysis of sleep-related infant deaths from 2004 to 2014 in the National Center for Fatality Review and Prevention Child Death Review Case Reporting System. The main exposure was supervisor at time of death. Primary outcomes included sleep position, location, and objects in the environment. Risk factors for parental vs nonparental supervisor were compared using χ 2 and multivariable logistic regression models. Risk factors associated with different nonparental supervisors were analyzed using χ 2 . Of the 10 490 deaths, 1375 (13.1%) occurred under nonparental supervision. Infants who died under nonparental supervision had higher adjusted odds of dying outside the home (OR 12.87, 95% CI 11.31-14.65), being placed prone (OR 1.61, 95% CI 1.39-1.86) or on their side (OR 1.35, 95% CI 1.12-1.62), or being found prone (OR 1.74, 95% CI 1.50-2.02). Among infants who died under nonparental supervision, those supervised by relatives or friends were more often placed on an adult bed or couch for sleep and bed sharing (P < .0001), and to have objects in the sleep environment (P = .01). Infants who died of sleep-related causes under nonparental supervision were more likely to have been placed nonsupine. Among nonparental supervisors, relatives and friends were more likely to use unsafe sleep environments, such as locations other than a crib or bassinet and bed sharing. Pediatricians should educate parents that all caregivers must always follow safe sleep practices. Copyright © 2018 Elsevier Inc. All rights reserved.

Pre-Participation Physical Fitness does not Influence Adherence to a Supervised Exercise Program

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Fábio Akio Nishijuka

2017-08-01

Full Text Available Abstract Background: Exercise-based cardiac rehabilitation tends to reduce mortality. However, it requires medium/long-term adherence to regular physical exercise. It is relevant to identify the variables that affect adherence to an supervised exercise program (SEP. Objective: To evaluate the influence of pre-participation levels of aerobic and non-aerobic physical fitness components in medium-term adherence to SEP. Methods: A total of 567 SEP participants (65 ± 12 years (68% men were studied. Participants adherent to the program for less than 6 months (48% (non-adherent - NAD were compared with 52% of participants who were adherent for 6 months or more (adherents - AD. In the non-aerobic fitness, flexibility (FLX (Flexitest and muscle power (MPW/body weight in standing rowing (watts/kg were evaluated while aerobic fitness was obtained by direct measure of VO2max/body weight (VO2. These measurements were normatized for sex and age based on percentiles (P (P-FLX/P-MPW of reference data or percentages of predicted (P-VO2. Additionally, AD and NAD with extreme results (tertiles were simultaneously compared for the three variables. Results: There was no difference between AD and NAD for non-aerobic results, in median [P25-P75], P-FLX: 30 [13-56] and 31 [9-52], respectively, (p = 0.69 and P-MPW: 34 [17-58] and 36 [16-62], respectively (p = 0.96, and for aerobic results (mean ± standard error P-VO2 (75.9 ± 1.3% and 75.0 ± 1.3%, respectively (p = 0.83. When comparing extreme tertiles, a difference was found for P-MPW in the lower tertile only, with a slight advantage of AD over NAD- 9 [5-16] versus 4 [1-11] (p = 0.04. Conclusion: Although awareness of the pre-participation levels of aerobic and non-aerobic physical fitness components is useful for individualized exercise prescription, these variables do not seem to influence medium-term adherence to SEP.

Brief report: Young children's risk of unintentional injury: a comparison of mothers' and fathers' supervision beliefs and reported practices.

Science.gov (United States)

Morrongiello, Barbara A; Walpole, Beverly; McArthur, Brae Anne

2009-01-01

There is increasing interest in understanding how parent supervision influences young children's risk of injury, but nearly all of this research has been conducted with mothers. The present study compared first-time mothers' and fathers' supervisory beliefs and reported practices, and related these scores to parental reports of their child's history of injuries. Mothers and fathers of children 2-5 years each independently completed a telephone interview and previously validated questionnaires about their supervisory beliefs and practices and their child's history of injuries. Mothers and fathers provided similar reports of their child's injuries (minor, medically attended) and scored similarly on various supervision indices. Despite these similarities, the way mothers' and fathers' supervision indices related to children's injury history scores differed. Children's frequency of minor and medically attended injuries was predicted from maternal supervisory scores but not from paternal scores. Maternal supervision has more impact on children's risk of injury than paternal supervision, possibly because mothers spend more time with children than fathers.

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…

Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses.

Science.gov (United States)

Nishitani, Yu; Kaneko, Yukihiro; Ueda, Michihito

2015-12-01

We propose a supervised learning model that enables error backpropagation for spiking neural network hardware. The method is modeled by modifying an existing model to suit the hardware implementation. An example of a network circuit for the model is also presented. In this circuit, a three-terminal ferroelectric memristor (3T-FeMEM), which is a field-effect transistor with a gate insulator composed of ferroelectric materials, is used as an electric synapse device to store the analog synaptic weight. Our model can be implemented by reflecting the network error to the write voltage of the 3T-FeMEMs and introducing a spike-timing-dependent learning function to the device. An XOR problem was successfully demonstrated as a benchmark learning by numerical simulations using the circuit properties to estimate the learning performance. In principle, the learning time per step of this supervised learning model and the circuit is independent of the number of neurons in each layer, promising a high-speed and low-power calculation in large-scale neural networks.

Abusive Supervision Scale Development in Indonesia

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Fenika Wulani

2014-02-01

Full Text Available The purpose of this study was to develop a scale of abusive supervision in Indonesia. The study was conducted with a different context and scale development method from Tepper’s (2000 abusive supervision scale. The abusive supervision scale from Tepper (2000 was developed in the U.S., which has a cultural orientation of low power distance. The current study was conducted in Indonesia, which has a high power distance. This study used interview procedures to obtain information about supervisor’s abusive behavior, and it was also assessed by experts. The results of this study indicated that abusive supervision was a 3-dimensional construct. There were anger-active abuse (6 items, humiliation-active abuse (4 items, and passive abuse (15 items. These scales have internal reliabilities of 0.947, 0.922, and 0.845, in sequence.

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics

NARCIS (Netherlands)

Strickert, M.; Schneider, P.; Keilwagen, J.; Villmann, T.; Biehl, M.; Hammer, B.

2008-01-01

Supervised attribute relevance detection using cross-comparisons (SARDUX), a recently proposed method for data-driven metric learning, is extended from dimension-weighted Minkowski distances to metrics induced by a data transformation matrix Ω for modeling mutual attribute dependence. Given class

Semi-supervised sparse coding

KAUST Repository

Wang, Jim Jing-Yan; Gao, Xin

2014-01-01

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.

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.

Development and validation of the ExPRESS instrument for primary health care providers' evaluation of external supervision.

Science.gov (United States)

Schriver, Michael; Cubaka, Vincent Kalumire; Vedsted, Peter; Besigye, Innocent; Kallestrup, Per

2018-01-01

External supervision of primary health care facilities to monitor and improve services is common in low-income countries. Currently there are no tools to measure the quality of support in external supervision in these countries. To develop a provider-reported instrument to assess the support delivered through external supervision in Rwanda and other countries. "External supervision: Provider Evaluation of Supervisor Support" (ExPRESS) was developed in 18 steps, primarily in Rwanda. Content validity was optimised using systematic search for related instruments, interviews, translations, and relevance assessments by international supervision experts as well as local experts in Nigeria, Kenya, Uganda and Rwanda. Construct validity and reliability were examined in two separate field tests, the first using exploratory factor analysis and a test-retest design, the second for confirmatory factor analysis. We included 16 items in section A ('The most recent experience with an external supervisor'), and 13 items in section B ('The overall experience with external supervisors'). Item-content validity index was acceptable. In field test I, test-retest had acceptable kappa values and exploratory factor analysis suggested relevant factors in sections A and B used for model hypotheses. In field test II, models were tested by confirmatory factor analysis fitting a 4-factor model for section A, and a 3-factor model for section B. ExPRESS is a promising tool for evaluation of the quality of support of primary health care providers in external supervision of primary health care facilities in resource-constrained settings. ExPRESS may be used as specific feedback to external supervisors to help identify and address gaps in the supervision they provide. Further studies should determine optimal interpretation of scores and the number of respondents needed per supervisor to obtain precise results, as well as test the functionality of section B.

An Eight-Eyed Version of Hawkins and Shohet's Clinical Supervision Model: The Addition of the Cognitive Analytic Therapy Concept of the "Observing Eye/I" as the "Observing Us"

Science.gov (United States)

Darongkamas, Jurai; John, Christopher; Walker, Mark James

2014-01-01

This paper proposes incorporating the concept of the "observing eye/I", from cognitive analytic therapy (CAT), to Hawkins and Shohet's seven modes of supervision, comprising their transtheoretical model of supervision. Each mode is described alongside explicit examples relating to CAT. This modification using a key idea from CAT (in…

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…

Re-thinking reflection in supervision

DEFF Research Database (Denmark)

Lystbæk, Christian Tang

The paper presents a socio-cultural perspective on supervision in professional education, which challenges the current reflective paradigm and move the debate on reflection in supervision in professional education and learning towards a recognition of context, power dynamics and ideological...... of reflective practice has been formalized by regulatory bodies as a way to develop the professionalism of both individual professional practitioners as students through continuing professional developmental processes. Consequently, reflection is often used as a `tool´ for personal and professional development...... al., 2010). This conceptual paper presents a critical, socio-cultural perspective on the current paradigm or dogma of reflective practice within supervision in professional education and learning. The purpose I to challenge the dogma and critically to analyze and move the debate on reflection...

The efficiency of government supervision

International Nuclear Information System (INIS)

Paetzold, H.

1992-01-01

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.) [de

Broadening the "ports of entry" for speech-language pathologists: a relational and reflective model for clinical supervision.

Science.gov (United States)

Geller, Elaine; Foley, Gilbert M

2009-02-01

To offer a framework for clinical supervision in speech-language pathology that embeds a mental health perspective within the study of communication sciences and disorders. Key mental health constructs are examined as to how they are applied in traditional versus relational and reflective supervision models. Comparisons between traditional and relational and reflective approaches are outlined, with reference to each mental health construct and the developmental level of the supervisee. Three stages of supervisee development are proposed based on research from various disciplines, including nursing, psychology, speech-language pathology, social work, and education. Each developmental stage is characterized by shifts or changes in the supervisee's underlying assumptions, beliefs, and patterns of behavior. This article makes the case that both the cognitive and affective dimensions of the supervisor-supervisee relationship need to be addressed without minimizing the necessary development of discipline-specific expertise. The developmental stages outlined in this paradigm can be used to understand supervisees' patterns of change and growth over time, as well as to create optimal learning environments that match their developmental level and knowledge base.

Organization and competences of nuclear supervision in Poland

International Nuclear Information System (INIS)

Sowinski, M.

1989-01-01

Organization and tasks of nuclear supervision are presented. All supervised nuclear installations are listed. The rights of the president of the National Atomic Energy Agency and the chief inspector of nuclear supervision are given. Licensing and cooperation with the IAEA are described. (A.S.)

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

Directory of Open Access Journals (Sweden)

Bhuputra Panda

2015-01-01

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

Effective use of technology in clinical supervision

Directory of Open Access Journals (Sweden)

Priya Martin

2017-06-01

Full Text Available Clinical supervision is integral to continuing professional development of health professionals. With advances in technology, clinical supervision too can be undertaken using mediums such as videoconference, email and teleconference. This mode of clinical supervision is termed as telesupervision. While telesupervision could be useful in any context, its value is amplified for health professionals working in rural and remote areas where access to supervisors within the local work environment is often diminished. While telesupervision offers innovative means to undertake clinical supervision, there remain gaps in the literature in terms of its parameters of use in clinical practice. This article outlines ten evidence-informed, practical tips stemming from a review of the literature that will enable health care stakeholders to use technology effectively and efficiently while undertaking clinical supervision. By highlighting the “how to” aspect, telesupervision can be delivered in the right way, to the right health professional, at the right time.

Application of Contingency Theories to the Supervision of Student Teachers.

Science.gov (United States)

Phelps, Julia D.

1985-01-01

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

The Cryogenic Supervision System in NSRRC

CERN Document Server

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

2005-01-01

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

Supervision and inspection plans of plants activities; Plan de inspeccion y supervision de actividades en planta

Energy Technology Data Exchange (ETDEWEB)

Feijoo, J. P.

2009-07-01

Any idea of hierarchization between supervisor and supervised in inspection and supervision activities should necessarily be dismissed, and the independence of the supervisor when executing has tasks should be guaranteed. The inspection and supervision program enable the detection and resolution of materials and human problems alike. In addition, they are a solution to anticipate potential problems in the future, which results in a very significant reduction of industrial accidents and human errors, as well as better use and upkeep of equipment. With these programs we improve our management and our work, and without a doubt they help to strengthen the safety culture in Cofrentes Nuclear Power Plant. (Author)

Maximum margin semi-supervised learning with irrelevant data.

Science.gov (United States)

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

2015-10-01

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

Diapason: an assistant system for supervision

International Nuclear Information System (INIS)

Coudouneau, L.; Leyval, L.; Montmain, J.; Penalva, J.M.

1990-01-01

Simulation and assisted diagnosis are the contributions DIAPASON provides to supervision. The reasonings are based on a qualitative model, a knowledge base and a set of constraints on the values of the process variables, all three issued from a single representation of the process. After an overview of the qualitative simulation, the on line interpretation of the latter and the heuristic diagnosis, the cooperation of these three units is pointed out [fr

Educational Technology and Distance Supervision in Counselor Education

Science.gov (United States)

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

2017-01-01

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

Supervised exercise reduces cancer-related fatigue: a systematic review

Directory of Open Access Journals (Sweden)

José F Meneses-Echávez

2015-01-01

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

Influence of a Supervised Mentoring Program on the Achievement of Low-Income South Korean Students

Science.gov (United States)

Choi, Sumi; Lemberger, Matthew E.

2010-01-01

This study examined the effectiveness of a supervised mentoring program designed to improve the academic achievement of 834 low-income elementary and secondary school students in Seoul, South Korea. When compared to the control group, both elementary and middle school students exposed to the mentoring program improved in mathematic and reading…

State Radiation Protection Supervision and Control

International Nuclear Information System (INIS)

2003-01-01

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

State Radiation Protection Supervision and Control

CERN Document Server

2002-01-01

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

[Possibilities of supervision in medical practice].

Science.gov (United States)

Lönnqvist, Jouko

2014-01-01

In supervision, a doctor examines in interaction with the supervisor her/his work, work role and collaborative relationships with the aim to develop herself/himself and the associated work community. In clinical supervision, a doctor's way of acting in interactive relationships with the patients is examined through patient cases, based on the doctor's own experience. Supervision can be used to strengthen the physician identity, clarify the work role, assimilate and delve into clinical work, support professional development and working career, manage one's own work and coping at work, develop collaboration and team work, and support the work of medical directors.

Semi-supervised and unsupervised extreme learning machines.

Science.gov (United States)

Huang, Gao; Song, Shiji; Gupta, Jatinder N D; Wu, Cheng

2014-12-01

Extreme learning machines (ELMs) have proven to be efficient and effective learning mechanisms for pattern classification and regression. However, ELMs are primarily applied to supervised learning problems. Only a few existing research papers have used ELMs to explore unlabeled data. In this paper, we extend ELMs for both semi-supervised and unsupervised tasks based on the manifold regularization, thus greatly expanding the applicability of ELMs. The key advantages of the proposed algorithms are as follows: 1) both the semi-supervised ELM (SS-ELM) and the unsupervised ELM (US-ELM) exhibit learning capability and computational efficiency of ELMs; 2) both algorithms naturally handle multiclass classification or multicluster clustering; and 3) both algorithms are inductive and can handle unseen data at test time directly. Moreover, it is shown in this paper that all the supervised, semi-supervised, and unsupervised ELMs can actually be put into a unified framework. This provides new perspectives for understanding the mechanism of random feature mapping, which is the key concept in ELM theory. Empirical study on a wide range of data sets demonstrates that the proposed algorithms are competitive with the state-of-the-art semi-supervised or unsupervised learning algorithms in terms of accuracy and efficiency.

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

DEFF Research Database (Denmark)

Gonge, Henrik; Buus, Niels

2015-01-01

AIM: To test the effects of a meta-supervision intervention in terms of participation, effectiveness and benefits of clinical supervision of psychiatric nursing staff. BACKGROUND: Clinical supervision is regarded as a central component in developing mental health nursing practices, but the evidence...... an intervention group (n = 40) receiving the meta-supervision in addition to attending usual supervision or to a control group (n = 43) attending usual supervision. METHODS: Self-reported questionnaire measures of clinical supervision effectiveness and benefits were collected at base line in January 2012...... and at follow-up completed in February 2013. In addition, a prospective registration of clinical supervision participation was carried out over 3 months subsequent to the intervention. RESULTS: The main result was that it was possible to motivate staff in the intervention group to participate significantly more...

"The Fly on the Wall" Reflecting Team Supervision.

Science.gov (United States)

Prest, Layne E.; And Others

1990-01-01

Adapts reflecting team concept, a practical application of constructivist ideas, for use in group supervision. Evolving model includes a focus on the unique "fly on the wall" perspective of the reflecting team. Trainees are introduced to a multiverse of new ideas and perspectives in a context which integrates some of the most challenging…

The supervision of the credit institutions in the context of Basel III Implementation

Directory of Open Access Journals (Sweden)

Ciprian-Dan Costea

2012-01-01

Full Text Available In the last years, the supervision of worldwide credit institutions has been turned into a more strong one with a very clear emphasis on strengthening the capital basis of credit institutions and developing new models of supervision of the liquidity indicators, as the crisis-years run, turned to our front the importance of combining the banking management’s capital adequacy resort with the liquidity monitoring one.

Multiplicity in supervision relationships: A factor in improving ...

African Journals Online (AJOL)

Supervision has been identified as an important factor in the success of postgraduate students, even as the most significant variable and a large number of studies have been conducted to identify factors that contribute to supervision success. However the dependent variable in these studies – supervision success – has ...

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 OF PRISONERS, YOUTH OFFENDERS, AND JUVENILE DELINQUENTS District of Columbia Code: Prisoners and Parolees § 2.94 Supervision reports to Commissio...

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 CATEGORIES OF CONTRACTING CONSTRUCTION AND ARCHITECT-ENGINEER CONTRACTS Contract Clauses 836.572 Government supervision. The contracting officer shal...

New developments in technology-assisted supervision and training: a practical overview.

Science.gov (United States)

Rousmaniere, Tony; Abbass, Allan; Frederickson, Jon

2014-11-01

Clinical supervision and training are now widely available online. In this article, three of the most accessible and widely adopted new developments in clinical supervision and training technology are described: Videoconference supervision, cloud-based file sharing software, and clinical outcome tracking software. Partial transcripts from two online supervision sessions are provided as examples of videoconference-based supervision. The benefits and limitations of technology in supervision and training are discussed, with an emphasis on supervision process, ethics, privacy, and security. Recommendations for supervision practice are made, including methods to enhance experiential learning, the supervisory working alliance, and online security. © 2014 Wiley Periodicals, Inc.

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…

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 NATIONAL CEMETERIES REGULATIONS AFFECTING MILITARY RESERVATIONS Solicitation on Military Reservations § 552.65 Command supervision. (a) All insurance...

REFORM OF REGULATORY POLICY IN THE FIELD OF SUPERVISION OF AUDIT ACTIVITY

Directory of Open Access Journals (Sweden)

Iryna Kantsir

2017-12-01

public regulation in audit activity; logical generalization (to substantiate approaches and proposals on improving the ways for ensuring the quality of audit and optimizing the implementation process of the public oversight body. Results. According to the results of the study, an attempt is made to present the author’s understanding of the definition of “state regulation” and “public oversight” in the context of the functioning of subjects of audit activities. The expediency of adjusting the vector of regulatory policy regarding the implementation of international standards in the field of audit and supervision of audit activities and quality assurance of audit services is determined. Ways and directions for the implementation of the public supervision body in the audit system of Ukraine are outlined. Improvement of the financing model of the public oversight body with the purpose of minimization of corruption levers of influence is proposed. Practical implications. Taking into account the results of the study, it is proposed to provide in the Budget Code of Ukraine and the Law of Ukraine “On State Budget for the Current Year” a separate article on the costs of partial financing of the Public Audit Oversight Board. This, a priori, will reduce the corruption component of its activities and, accordingly, minimize corruption risks. Value/originality. For the first time, it is proposed to change the structural component of the financing model of the Public Audit Oversight Board and the relevant legislative proposals on clarifying and adjusting the statutes of the current legislation of Ukraine.

Ethics in education supervision

Directory of Open Access Journals (Sweden)

Fatma ÖZMEN

2008-06-01

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

Clinical Supervision of International Supervisees: Suggestions for Multicultural Supervision

Science.gov (United States)

Lee, Ahram

2018-01-01

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

Who attends clinical supervision? The uptake of clinical supervision by hospital nurses.

Science.gov (United States)

Koivu, Aija; Hyrkäs, Kristiina; Saarinen, Pirjo Irmeli

2011-01-01

The aim of the present study was to identify which nurses decide to participate in clinical supervision (CS) when it is provided for all nursing staff. Clinical supervision is available today for health care providers in many organisations. However, regardless of evidence showing the benefits of CS, some providers decide not to participate in the sessions. A baseline survey on work and health issues was conducted in 2003 with a 3-year follow-up of the uptake of CS by the respondents. Background characteristics and perceptions of work and health were compared between medical and surgical nurses who had undertaken CS (n=124) and their peers who decided not to undertake it (n=204). Differences in the perceptions of work and dimensions of burnout were found between the two groups. Nurses attracted to CS form a distinctive group in the unit, standing out as self-confident, committed and competent professionals supported by empowering and fair leadership. Facilitating clinical supervision for committed and innovative nurses may be seen as part of the empowering leadership of the nurse manager. © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

Defeating abusive supervision: Training supervisors to support subordinates.

Science.gov (United States)

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

2018-04-01

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

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

Science.gov (United States)

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

2013-05-01

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

Consolidation and acceptance of Endesa independent safety supervision system; Consolidacion y aceptacion del sistema de supervision dependiente de la seguridad de Endesa

Energy Technology Data Exchange (ETDEWEB)

O' Doneell, P.; Lequerica, I.

2012-07-01

Creating multiple levels of independent oversight (Nuclear Oversight-NOS) in operating NPPs has consolidated in recent years. Therefore, within the strategic objectives of DGEN, include strengthening independent oversight mechanisms of nuclear power plants operated by ENDESA. Since its inception in early 2009, Endesa nuclear oversight supervision is working to improve its ability to influence, to impact positively in the operation of the plants, the valuation of its directors and the active response of the line to the issues identified in their activities. In this paper we review the enhancements of NOS.

Improving supervision: a team approach.

Science.gov (United States)

1993-01-01

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

Asco 2044 nuclear power plant: supervision

International Nuclear Information System (INIS)

Sabartes, J.

2010-01-01

Good supervision constitutes an efficient barrier to avoid the errors caused by inadequate work practices. In this sense, it is necessary to strengthen supervision to make sure that the work is carried out with adequate human performance, tending to avoid error and providing safety quality and efficiency at work. (Author).

28 CFR 551.32 - Staff supervision.

Science.gov (United States)

2010-07-01

... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Staff supervision. 551.32 Section 551.32 Judicial Administration BUREAU OF PRISONS, DEPARTMENT OF JUSTICE INSTITUTIONAL MANAGEMENT MISCELLANEOUS Inmate Organizations § 551.32 Staff supervision. (a) The Warden shall appoint a staff member as the institution's Inmate Organization Manager (IO...

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

Science.gov (United States)

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

2017-08-01

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

The Consolidation on Banking Supervision in the Context of a Pan European Banking System

Directory of Open Access Journals (Sweden)

Teodora Barbu

2007-03-01

Full Text Available The diversity of national banking systems in the European banking system and the absence of consolidated supervision creates the premises for a series of interrogations whose essence is the same: Is it possible to discuss about a Pan European Banking System? The starting point in answering this question was the efforts to create a single banking market, which took place in 1973-1999, and the impact of integration on the European Banking Industry. Among the most representative aspects, it must be emphasized the necessity of consolidating banking supervision at an European level, considering that the International Banking Community studies the problematic of banking regulations at a global level. The two dimensions of the prudential and European bank supervision device – the geographic and the institutional – demand the creation of a structural reform in order to ensure the functioning of a Pan European system of banking supervision and regulations. The considerations on the Consolidation of European Banking Supervision draws into discussion the Financial Supervision Authority which has generalized as an applicable model in numerous European countries and has been mentioned as an alternative of Pan European banking supervision. In the process of the integration of the banking sector, the Basel II Accord represents an opportunity in reaching a convergence of national regulations and practices in matters of risk management, considering that these actions are in line with the preoccupations of realizing a Pan European banking system. Thus, the creation of Pan European banking system involves actions in more directions: legal, institutional, operational meant to ensure the consolidation of banking supervision.

Semi-supervised learning for ordinal Kernel Discriminant Analysis.

Science.gov (United States)

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

2016-12-01

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

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 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY CUSTOMS BROKERS Duties and Responsibilities of Customs Brokers § 111.28 Responsible supervision. (a) General. Every individual broker...

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

Science.gov (United States)

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

2016-01-01

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

Supervised variational model with statistical inference and its application in medical image segmentation.

Science.gov (United States)

Li, Changyang; Wang, Xiuying; Eberl, Stefan; Fulham, Michael; Yin, Yong; Dagan Feng, David

2015-01-01

Automated and general medical image segmentation can be challenging because the foreground and the background may have complicated and overlapping density distributions in medical imaging. Conventional region-based level set algorithms often assume piecewise constant or piecewise smooth for segments, which are implausible for general medical image segmentation. Furthermore, low contrast and noise make identification of the boundaries between foreground and background difficult for edge-based level set algorithms. Thus, to address these problems, we suggest a supervised variational level set segmentation model to harness the statistical region energy functional with a weighted probability approximation. Our approach models the region density distributions by using the mixture-of-mixtures Gaussian model to better approximate real intensity distributions and distinguish statistical intensity differences between foreground and background. The region-based statistical model in our algorithm can intuitively provide better performance on noisy images. We constructed a weighted probability map on graphs to incorporate spatial indications from user input with a contextual constraint based on the minimization of contextual graphs energy functional. We measured the performance of our approach on ten noisy synthetic images and 58 medical datasets with heterogeneous intensities and ill-defined boundaries and compared our technique to the Chan-Vese region-based level set model, the geodesic active contour model with distance regularization, and the random walker model. Our method consistently achieved the highest Dice similarity coefficient when compared to the other methods.

19 CFR 146.3 - Customs supervision.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 2 2010-04-01 2010-04-01 false Customs supervision. 146.3 Section 146.3 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY (CONTINUED) FOREIGN TRADE ZONES General Provisions § 146.3 Customs supervision. (a) Assignment of Customs officers. Customs officers will be...

36 CFR 25.3 - Supervision; suspensions.

Science.gov (United States)

2010-07-01

... 36 Parks, Forests, and Public Property 1 2010-07-01 2010-07-01 false Supervision; suspensions. 25.3 Section 25.3 Parks, Forests, and Public Property NATIONAL PARK SERVICE, DEPARTMENT OF THE INTERIOR NATIONAL MILITARY PARKS; LICENSED GUIDE SERVICE REGULATIONS § 25.3 Supervision; suspensions. (a) The guide service will operate under the direction...

Innovation research on the safety supervision system of nuclear and radiation safety in Jiangsu province

International Nuclear Information System (INIS)

Zhang Qihong; Lu Jigen; Zhang Ping; Wang Wanping; Dai Xia

2012-01-01

As the rapid development of nuclear technology, the safety supervision of nuclear and radiation becomes very important. The safety radiation frame system should be constructed, the safety super- vision ability for nuclear and radiation should be improved. How to implement effectively above mission should be a new subject of Provincial environmental protection department. Through investigating the innovation of nuclear and radiation supervision system, innovation of mechanism, innovation of capacity, innovation of informatization and so on, the provincial nuclear and radiation safety supervision model is proposed, and the safety framework of nuclear and radiation in Jiangsu is elementally established in the paper. (authors)

The effectiveness of banking supervision

OpenAIRE

Davis, EP; Obasi, U

2009-01-01

Banking supervision is an essential aspect of modern financial systems, seeking crucially to monitor risk-taking by banks so as to protect depositors, the government safety net and the economy as a whole against systemic bank failure and its consequences. In this context, this paper seeks to explore the relationship between risk indicators for individual banks and the different approaches to banking supervision adopted around the world. This is the first work to make use of the currently avai...

Cross-Domain Semi-Supervised Learning Using Feature Formulation.

Science.gov (United States)

Xingquan Zhu

2011-12-01

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

Counseling Supervision within a Feminist Framework: Guidelines for Intervention

Science.gov (United States)

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

2013-01-01

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

Action learning in undergraduate engineering thesis supervision

Directory of Open Access Journals (Sweden)

Brad Stappenbelt

2017-03-01

Full Text Available In the present action learning implementation, twelve action learning sets were conducted over eight years. The action learning sets consisted of students involved in undergraduate engineering research thesis work. The concurrent study accompanying this initiative, investigated the influence of the action learning environment on student approaches to learning and any accompanying academic, learning and personal benefits realised. The influence of preferred learning styles on set function and student adoption of the action learning process were also examined. The action learning environment implemented had a measurable significant positive effect on student academic performance, their ability to cope with the stresses associated with conducting a research thesis, the depth of learning, the development of autonomous learners and student perception of the research thesis experience. The present study acts as an addendum to a smaller scale implementation of this action learning approach, applied to supervision of third and fourth year research projects and theses, published in 2010.

Sampling algorithms for validation of supervised learning models for Ising-like systems

Science.gov (United States)

Portman, Nataliya; Tamblyn, Isaac

2017-12-01

In this paper, we build and explore supervised learning models of ferromagnetic system behavior, using Monte-Carlo sampling of the spin configuration space generated by the 2D Ising model. Given the enormous size of the space of all possible Ising model realizations, the question arises as to how to choose a reasonable number of samples that will form physically meaningful and non-intersecting training and testing datasets. Here, we propose a sampling technique called ;ID-MH; that uses the Metropolis-Hastings algorithm creating Markov process across energy levels within the predefined configuration subspace. We show that application of this method retains phase transitions in both training and testing datasets and serves the purpose of validation of a machine learning algorithm. For larger lattice dimensions, ID-MH is not feasible as it requires knowledge of the complete configuration space. As such, we develop a new ;block-ID; sampling strategy: it decomposes the given structure into square blocks with lattice dimension N ≤ 5 and uses ID-MH sampling of candidate blocks. Further comparison of the performance of commonly used machine learning methods such as random forests, decision trees, k nearest neighbors and artificial neural networks shows that the PCA-based Decision Tree regressor is the most accurate predictor of magnetizations of the Ising model. For energies, however, the accuracy of prediction is not satisfactory, highlighting the need to consider more algorithmically complex methods (e.g., deep learning).

Nurses’ perceptions on nursing supervision in Primary Health Care

Directory of Open Access Journals (Sweden)

Beatriz Francisco Farah

2016-01-01

Full Text Available Objective: to understand the perceptions of nurses on nursing supervision in the work process. Methods: this is a qualitative research, with a semi-structured interview, performed with 16 nurses. Data analysis was performed through content analysis. Results: two meanings topics emerged from the speeches of the participants: Nurses´ activities in Primary Health Care Units and Nurses´ perceptions about nursing supervision. In the first category, the actions listed were filling out forms and reports under the supervision of the nursing service. In the second category, supervision was perceived as a function of management and follow-up of the activities planned by the team, in opposition to the classical supervision concept, which is inspecting. Conclusion: nursing supervision has been configured for primary care nurses as an administrative function that involves planning, organization, coordination, evaluation, follow-up and support for the health team.

The Moderating Effect of Interaction Avoidance Between Abusive Supervision and Subordinates' Job Promotions.

Science.gov (United States)

Peltokorpi, Vesa

2017-10-03

While abusive supervision is shown to have negative stress-related effects on targets, less is known about the factors capable of mitigating these negative effects and their career-related outcomes. In this paper, we drew on the transactional model of stress and coping (Lazarus & Folkman, 1986) and the upward mobility theory (Turner, 1960) to explore the moderating effect of subordinates' interaction avoidance between abusive supervision and job promotions. To test this moderating effect, we collected data from 604 full-time employees at three points in time over a 12-month time period in Japan. The findings suggest that interaction avoidance moderates the relationship between abusive supervision and promotions, such that this relationship will be less negative as interaction avoidance increases.

21 CFR 640.62 - Medical supervision.

Science.gov (United States)

2010-04-01

... 21 Food and Drugs 7 2010-04-01 2010-04-01 false Medical supervision. 640.62 Section 640.62 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) BIOLOGICS ADDITIONAL STANDARDS FOR HUMAN BLOOD AND BLOOD PRODUCTS Source Plasma § 640.62 Medical supervision. A qualified licensed physician shall be on the...

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 of Wheat § 19.34 Customs supervision. Port...

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 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY GRANTS AND OTHER FEDERAL ASSISTANCE STATE AND LOCAL ASSISTANCE Grants for Construction of Treatment Works-Clean Water Act § 35.935-8 Supervision. In the case of any project involving Step 3,...

Accuracy of latent-variable estimation in Bayesian semi-supervised learning.

Science.gov (United States)

Yamazaki, Keisuke

2015-09-01

Hierarchical probabilistic models, such as Gaussian mixture models, are widely used for unsupervised learning tasks. These models consist of observable and latent variables, which represent the observable data and the underlying data-generation process, respectively. Unsupervised learning tasks, such as cluster analysis, are regarded as estimations of latent variables based on the observable ones. The estimation of latent variables in semi-supervised learning, where some labels are observed, will be more precise than that in unsupervised, and one of the concerns is to clarify the effect of the labeled data. However, there has not been sufficient theoretical analysis of the accuracy of the estimation of latent variables. In a previous study, a distribution-based error function was formulated, and its asymptotic form was calculated for unsupervised learning with generative models. It has been shown that, for the estimation of latent variables, the Bayes method is more accurate than the maximum-likelihood method. The present paper reveals the asymptotic forms of the error function in Bayesian semi-supervised learning for both discriminative and generative models. The results show that the generative model, which uses all of the given data, performs better when the model is well specified. Copyright © 2015 Elsevier Ltd. All rights reserved.

Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction.

Science.gov (United States)

Nie, Feiping; Xu, Dong; Tsang, Ivor Wai-Hung; Zhang, Changshui

2010-07-01

We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the new data points. For semi-supervised dimension reduction, we aim to find the optimal prediction labels F for all the training samples X, the linear regression function h(X) and the regression residue F(0) = F - h(X) simultaneously. Our new objective function integrates two terms related to label fitness and manifold smoothness as well as a flexible penalty term defined on the residue F(0). Our Semi-Supervised learning framework, referred to as flexible manifold embedding (FME), can effectively utilize label information from labeled data as well as a manifold structure from both labeled and unlabeled data. By modeling the mismatch between h(X) and F, we show that FME relaxes the hard linear constraint F = h(X) in manifold regularization (MR), making it better cope with the data sampled from a nonlinear manifold. In addition, we propose a simplified version (referred to as FME/U) for unsupervised dimension reduction. We also show that our proposed framework provides a unified view to explain and understand many semi-supervised, supervised and unsupervised dimension reduction techniques. Comprehensive experiments on several benchmark databases demonstrate the significant improvement over existing dimension reduction algorithms.

Emotions, Social Work Practice and Supervision: An Uneasy Alliance?

Science.gov (United States)

Ingram, Richard

2013-03-01

This paper examines the place of emotions within social work practice. The perceived tensions between emotions and rational decision making are explored and it is argued that their relationship is compatible and necessary. A model for the co-creation of emotionally intelligent supervision is developed to support this vision of practice.

Observation versus classification in supervised category learning.

Science.gov (United States)

Levering, Kimery R; Kurtz, Kenneth J

2015-02-01

The traditional supervised classification paradigm encourages learners to acquire only the knowledge needed to predict category membership (a discriminative approach). An alternative that aligns with important aspects of real-world concept formation is learning with a broader focus to acquire knowledge of the internal structure of each category (a generative approach). Our work addresses the impact of a particular component of the traditional classification task: the guess-and-correct cycle. We compare classification learning to a supervised observational learning task in which learners are shown labeled examples but make no classification response. The goals of this work sit at two levels: (1) testing for differences in the nature of the category representations that arise from two basic learning modes; and (2) evaluating the generative/discriminative continuum as a theoretical tool for understand learning modes and their outcomes. Specifically, we view the guess-and-correct cycle as consistent with a more discriminative approach and therefore expected it to lead to narrower category knowledge. Across two experiments, the observational mode led to greater sensitivity to distributional properties of features and correlations between features. We conclude that a relatively subtle procedural difference in supervised category learning substantially impacts what learners come to know about the categories. The results demonstrate the value of the generative/discriminative continuum as a tool for advancing the psychology of category learning and also provide a valuable constraint for formal models and associated theories.

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

Science.gov (United States)

Ogren, Marie-Louise; Sundin, Eva C.

2009-01-01

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

Safe semi-supervised learning based on weighted likelihood.

Science.gov (United States)

Kawakita, Masanori; Takeuchi, Jun'ichi

2014-05-01

We are interested in developing a safe semi-supervised learning that works in any situation. Semi-supervised learning postulates that n(') unlabeled data are available in addition to n labeled data. However, almost all of the previous semi-supervised methods require additional assumptions (not only unlabeled data) to make improvements on supervised learning. If such assumptions are not met, then the methods possibly perform worse than supervised learning. Sokolovska, Cappé, and Yvon (2008) proposed a semi-supervised method based on a weighted likelihood approach. They proved that this method asymptotically never performs worse than supervised learning (i.e., it is safe) without any assumption. Their method is attractive because it is easy to implement and is potentially general. Moreover, it is deeply related to a certain statistical paradox. However, the method of Sokolovska et al. (2008) assumes a very limited situation, i.e., classification, discrete covariates, n(')→∞ and a maximum likelihood estimator. In this paper, we extend their method by modifying the weight. We prove that our proposal is safe in a significantly wide range of situations as long as n≤n('). Further, we give a geometrical interpretation of the proof of safety through the relationship with the above-mentioned statistical paradox. Finally, we show that the above proposal is asymptotically safe even when n(')

Active link selection for efficient semi-supervised community detection

Science.gov (United States)

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

2015-01-01

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

An Approach to Supervision for Doctoral and Entry-Level Group Counseling Students

Science.gov (United States)

Walsh, Robyn; Bambacus, Elizabeth; Gibson, Donna

2017-01-01

The purpose of this article is to provide a supervision approach to experiential groups that replaces professors with doctoral students in the chain of supervision, enlists a faculty member to provide supervision of supervision to the doctoral students, and translates supervision theory to meet the unique needs of group counseling supervision.…

Model for the Assessment of the Effectiveness of the Banking Supervision Activity

Directory of Open Access Journals (Sweden)

Nicolae DARDAC

2011-05-01

Full Text Available The financial crisis has revealed a series of weaknesses and gaps of the supervision of the financial system. The conclusions of the different reports aiming to discover the causes of the crisis, that were prepared by organizations and authorities with prerogatives in this field, were followed by the initiative of reforming the architecture of the supervision at the EU level and of reviewing the regulatory framework related to the areas for which significant vulnerabilities had been identified. In order to avoid repeating such episodes, which represent a peril for the maintenance of the financial stability, the completion of these steps is required, through the efforts of the national supervisory authorities, which have to contribute to the enhancement of the effectiveness of their activity. Thus, the rigorous assessment of the supervisory activity’s effectiveness becomes necessary, which represents, in our opinion, a precondition for adopting those strategic decisions which would lead to the achievement of the desired objective, that is, to ensuring the stability of the financial system.

From knowledge to recognition: Evaluation of the process of a supervision group through lexical and textual statistical analysis

Directory of Open Access Journals (Sweden)

Giovanna Di Falco

2014-09-01

Full Text Available The following article shows the process analysis of group supervision within a Therapeutic Community for adolescents with psychiatric problems. The main aim is to explore the influence of the group supervision on the quality of the patients care and, at the same time, the relationship between the therapists. The evaluation was made recording the group meetings and analyzing the transcriptions (representation of therapists’ speeches in written form through the use of statistical text analysis. Data analysis describes the frame of an institution – the TC – where it seems possible to “think” and “rethink” the clinical work and the relationship with patients bearing in mind – at the same time – institutional aspects; patients’ family role; social context; emotional and relational aspects of the therapists.Keywords: Process, Supervision, Therapeutic community

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

KAUST Repository

Escorcia, Victor

2018-04-05

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

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

KAUST Repository

Escorcia, Victor; Dao, Cuong D.; Jain, Mihir; Ghanem, Bernard; Snoek, Cees

2018-01-01

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

Emotional Literacy Support Assistants' Views on Supervision Provided by Educational Psychologists: What EPs Can Learn from Group Supervision

Science.gov (United States)

Osborne, Cara; Burton, Sheila

2014-01-01

The Educational Psychology Service in this study has responsibility for providing group supervision to Emotional Literacy Support Assistants (ELSAs) working in schools. To date, little research has examined this type of inter-professional supervision arrangement. The current study used a questionnaire to examine ELSAs' views on the supervision…

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

Science.gov (United States)

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

2016-03-01

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

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)

Challenges for Better thesis supervision.

Science.gov (United States)

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

2014-01-01

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

Hidden discriminative features extraction for supervised high-order time series modeling.

Science.gov (United States)

Nguyen, Ngoc Anh Thi; Yang, Hyung-Jeong; Kim, Sunhee

2016-11-01

In this paper, an orthogonal Tucker-decomposition-based extraction of high-order discriminative subspaces from a tensor-based time series data structure is presented, named as Tensor Discriminative Feature Extraction (TDFE). TDFE relies on the employment of category information for the maximization of the between-class scatter and the minimization of the within-class scatter to extract optimal hidden discriminative feature subspaces that are simultaneously spanned by every modality for supervised tensor modeling. In this context, the proposed tensor-decomposition method provides the following benefits: i) reduces dimensionality while robustly mining the underlying discriminative features, ii) results in effective interpretable features that lead to an improved classification and visualization, and iii) reduces the processing time during the training stage and the filtering of the projection by solving the generalized eigenvalue issue at each alternation step. Two real third-order tensor-structures of time series datasets (an epilepsy electroencephalogram (EEG) that is modeled as channel×frequency bin×time frame and a microarray data that is modeled as gene×sample×time) were used for the evaluation of the TDFE. The experiment results corroborate the advantages of the proposed method with averages of 98.26% and 89.63% for the classification accuracies of the epilepsy dataset and the microarray dataset, respectively. These performance averages represent an improvement on those of the matrix-based algorithms and recent tensor-based, discriminant-decomposition approaches; this is especially the case considering the small number of samples that are used in practice. Copyright © 2016 Elsevier Ltd. All rights reserved.

Opportunities to learn scientific thinking in joint doctoral supervision

DEFF Research Database (Denmark)

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

2015-01-01

Research into doctoral supervision has increased rapidly over the last decades, yet our understanding of how doctoral students learn scientific thinking from supervision is limited. Most studies are based on interviews with little work being reported that is based on observation of actual...... supervision. While joint supervision has become widely used, its learning dynamics remains under-researched and this paper aims to address these gaps in research by exploring learning opportunities in doctoral supervision with two supervisors. The study explores how the tensions in scientific discussion...... between supervisors can become learning opportunities. We combine two different theoretical perspectives, using participation and positioning theory as a sociocultural perspective and variation theory as an individual constructivist perspective on learning. Based on our analysis of a complex episode we...

Emotions, Social Work Practice and Supervision: An Uneasy Alliance?

Science.gov (United States)

Ingram, Richard

2012-01-01

This paper examines the place of emotions within social work practice. The perceived tensions between emotions and rational decision making are explored and it is argued that their relationship is compatible and necessary. A model for the co-creation of emotionally intelligent supervision is developed to support this vision of practice. PMID:24764612

A New Method for Solving Supervised Data Classification Problems

Directory of Open Access Journals (Sweden)

Parvaneh Shabanzadeh

2014-01-01

Full Text Available Supervised data classification is one of the techniques used to extract nontrivial information from data. Classification is a widely used technique in various fields, including data mining, industry, medicine, science, and law. This paper considers a new algorithm for supervised data classification problems associated with the cluster analysis. The mathematical formulations for this algorithm are based on nonsmooth, nonconvex optimization. A new algorithm for solving this optimization problem is utilized. The new algorithm uses a derivative-free technique, with robustness and efficiency. To improve classification performance and efficiency in generating classification model, a new feature selection algorithm based on techniques of convex programming is suggested. Proposed methods are tested on real-world datasets. Results of numerical experiments have been presented which demonstrate the effectiveness of the proposed algorithms.

[Design of a supervision model for administration of the Child Development Evaluation Test at primary care facilities in Mexico].

Science.gov (United States)

Villasís-Keever, Miguel Ángel; Rizzoli-Córdoba, Antonio; Delgado-Ginebra, Ismael; Mares-Serratos, Blanca Berenice; Martell-Valdez, Liliana; Sánchez-Velázquez, Olivia; Reyes-Morales, Hortensia; O'Shea-Cuevas, Gabriel; Aceves-Villagrán, Daniel; Carrasco-Mendoza, Joaquín; Antillón-Ocampo, Fátima Adriana; Villagrán-Muñoz, Víctor Manuel; Halley-Castillo, Elizabeth; Baqueiro-Hernández, César Iván; Pizarro-Castellanos, Mariel; Martain-Pérez, Itzamara Jacqueline; Palma-Tavera, Josuha Alexander; Vargas-López, Guillermo; Muñoz-Hernández, Onofre

The Child Development Evaluation (CDE) test designed and validated in Mexico has been used as a screening tool for developmental problems in primary care facilities across Mexico. Heterogeneous results were found among those states where these were applied, despite using the same standardized training model for application. The objective was to evaluate a supervision model for quality of application of the CDE test at primary care facilities. A study was carried out in primary care facilities from three Mexican states to evaluate concordance of the results between supervisor and primary care personnel who administered the test using two different methods: direct observation (shadow study) or reapplication of the CDE test (consistency study). There were 380 shadow studies applied to 51 psychologists. General concordance of the shadow study was 86.1% according to the supervisor: green 94.5%, yellow 73.2% and red 80.0%. There were 302 re-test evaluations with a concordance of 88.1% (n=266): green 96.8%, yellow 71.7% and red 81.8%. There were no differences between CDE test subgroups by age. Both shadow and re-test study were adequate for the evaluation of the quality of the administration of the CDE Test and may be useful as a model of supervision in primary care facilities. The decision of which test to use relies on the availability of supervisors. Copyright © 2015 Hospital Infantil de México Federico Gómez. Publicado por Masson Doyma México S.A. All rights reserved.

18 CFR 367.80 - Supervision and engineering.

Science.gov (United States)

2010-04-01

... engineering. 367.80 Section 367.80 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operating Expense Instructions § 367.80 Supervision and engineering. (a) The supervision and engineering includible in the operating expense accounts must consist of the pay and expenses of...

State Supervision and Control of Radiation Protection

CERN Document Server

2001-01-01

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

ECB Banking Supervision and beyond

OpenAIRE

Lannoo, Karel

2014-01-01

With publication of the results of its Comprehensive Assessment at the end of October 2014, the European Central Bank has set the standard for its new mandate as supervisor. But this was only the beginning. The heavy work started in early November, with the day-to-day supervision of the 120 most significant banks in the eurozone under the Single Supervisory Mechanism. The centralisation of the supervision in the eurozone will pose a number of challenges for the ECB in the coming months and ye...

Radiation supervision - NPPs A-1, V-1, V-2

International Nuclear Information System (INIS)

2000-01-01

In this leaflet the radiation supervision of the nuclear power plants A-1, V-1, V-2 is presented. Off-site radiation supervision laboratory is a part of monitoring scheme of the NPPs. More than 1150 samples are taken from the environment annually. The tele-dosimetric system was constructed to improve the quality of the Bohunice NPPs operation impacts supervision. It has been running in a continuous operation from 1992 and providing supervision of the nuclear power plant off-site area within 25 kilometres. The tele-dosimetric system is described

An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species

Directory of Open Access Journals (Sweden)

Deborah Galpert

2015-01-01

Full Text Available Orthology detection requires more effective scaling algorithms. In this paper, a set of gene pair features based on similarity measures (alignment scores, sequence length, gene membership to conserved regions, and physicochemical profiles are combined in a supervised pairwise ortholog detection approach to improve effectiveness considering low ortholog ratios in relation to the possible pairwise comparison between two genomes. In this scenario, big data supervised classifiers managing imbalance between ortholog and nonortholog pair classes allow for an effective scaling solution built from two genomes and extended to other genome pairs. The supervised approach was compared with RBH, RSD, and OMA algorithms by using the following yeast genome pairs: Saccharomyces cerevisiae-Kluyveromyces lactis, Saccharomyces cerevisiae-Candida glabrata, and Saccharomyces cerevisiae-Schizosaccharomyces pombe as benchmark datasets. Because of the large amount of imbalanced data, the building and testing of the supervised model were only possible by using big data supervised classifiers managing imbalance. Evaluation metrics taking low ortholog ratios into account were applied. From the effectiveness perspective, MapReduce Random Oversampling combined with Spark SVM outperformed RBH, RSD, and OMA, probably because of the consideration of gene pair features beyond alignment similarities combined with the advances in big data supervised classification.

The LHC string2 supervision system

CERN Document Server

Mayya, Y S; Sicard, Claude Henri

2002-01-01

This paper describes the implementation of the supervision system for the LHC Prototype Full-Cell also known as String 2. The supervision application is based on a commercial package targeted to industrial controls, but because of the complexity and the specifics of such a system, integration with custom components is necessary in order to merge the industrial requirements with the specificity of the accelerator controls.

Detecting Seismic Events Using a Supervised Hidden Markov Model

Science.gov (United States)

Burks, L.; Forrest, R.; Ray, J.; Young, C.

2017-12-01

We explore the use of supervised hidden Markov models (HMMs) to detect seismic events in streaming seismogram data. Current methods for seismic event detection include simple triggering algorithms, such as STA/LTA and the Z-statistic, which can lead to large numbers of false positives that must be investigated by an analyst. The hypothesis of this study is that more advanced detection methods, such as HMMs, may decreases false positives while maintaining accuracy similar to current methods. We train a binary HMM classifier using 2 weeks of 3-component waveform data from the International Monitoring System (IMS) that was carefully reviewed by an expert analyst to pick all seismic events. Using an ensemble of simple and discrete features, such as the triggering of STA/LTA, the HMM predicts the time at which transition occurs from noise to signal. Compared to the STA/LTA detection algorithm, the HMM detects more true events, but the false positive rate remains unacceptably high. Future work to potentially decrease the false positive rate may include using continuous features, a Gaussian HMM, and multi-class HMMs to distinguish between types of seismic waves (e.g., P-waves and S-waves). Acknowledgement: Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525.SAND No: SAND2017-8154 A

18 CFR 367.9110 - Account 911, Supervision.

Science.gov (United States)

2010-04-01

... account must include the cost of labor and expenses incurred in the general direction and supervision of sales activities, except merchandising. Direct supervision of a specific activity, such as demonstrating, selling, or advertising, must be charged to the account wherein the costs of such activity are included...

Supervision of professional personnel exposed to ionizing radiation (X-rays)

International Nuclear Information System (INIS)

Chalabreysse, J.

1964-10-01

After a short introduction giving the physical characteristics and the possible interactions of X-rays, this report considers in more detail the basis of the dosimetry and the units used. Taking into account the dangers of irradiation and the professional norms applicable, the report reviews the physical methods (collective and individual dosimetry) and the biological method (based on the systematic supervision of the hemogram) which are used to ensure that these professional norms an respected. As an example the influence is studied of repeated doses of X-rays on the hemogram of X-ray operators when the individual radiation levels are known through dosimetric films. Two processes are used: one considers the mean values (irradiation and average hemogram for each person), the other requires the use of an electronic computer and uses each haematological variable as a function of the monthly or cumulative doses; it gives correlation coefficients for the different variables. In conclusion, the results obtained are compared to those conventionally accepted, and the validity of the hemogram is estimated as a criterion for the supervision. (author) [fr

A semi-supervised segmentation algorithm as applied to k-means ...

African Journals Online (AJOL)

Segmentation (or partitioning) of data for the purpose of enhancing predictive modelling is a well-established practice in the banking industry. Unsupervised and supervised approaches are the two main streams of segmentation and examples exist where the application of these techniques improved the performance of ...

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.

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 trygh...

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

Directory of Open Access Journals (Sweden)

Raquel Martins Sartori

2014-08-01

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

Problems of Rural Food Safety and Strategies of Constructing Supervision System

Institute of Scientific and Technical Information of China (English)

2011-01-01

This paper expounds the practical necessity of constructing diversified rural food safety supervision system as follows: it is the necessary requirements of guaranteeing people’s health and life safety; it is an important component of governmental function of social management and the logical extension of administrative responsibilities; it is the basis of maintaining order of rural society and constructing harmonious society. The main problems existing in the supervision of rural food safety are analyzed as follows: first, the legislative work of rural food safety lags behind to some extent; second, the supervision of governmental departments on rural food safety is insufficient; third, the industrial supervision mechanism of rural food security is not perfect; fourth, the role of rural social organizations in supervising food safety is limited; fifth, the farmers’ awareness of food safety supervision is not strong. Based on these problems, the targeted strategies of constructing diversified rural food safety supervision system are put forward as follows: accelerate the legislation of rural food safety, and ensure that there are laws to go by; give play to the dominant role of government, and strengthen administrative supervision on rural food safety; perfect industrial convention of rural food safety, and improve industrial supervision mechanism; actively support the fostering of social organizations, and give play to the role of supervision of organizations; cultivate correct concept of rights and obligations of farmers, and form awareness of food safety supervision.

Initial experiences and innovations in supervising community health workers for maternal, newborn, and child health in Morogoro region, Tanzania.

Science.gov (United States)

Roberton, Timothy; Applegate, Jennifer; Lefevre, Amnesty E; Mosha, Idda; Cooper, Chelsea M; Silverman, Marissa; Feldhaus, Isabelle; Chebet, Joy J; Mpembeni, Rose; Semu, Helen; Killewo, Japhet; Winch, Peter; Baqui, Abdullah H; George, Asha S

2015-04-09

Supervision is meant to improve the performance and motivation of community health workers (CHWs). However, most evidence on supervision relates to facility health workers. The Integrated Maternal, Newborn, and Child Health (MNCH) Program in Morogoro region, Tanzania, implemented a CHW pilot with a cascade supervision model where facility health workers were trained in supportive supervision for volunteer CHWs, supported by regional and district staff, and with village leaders to further support CHWs. We examine the initial experiences of CHWs, their supervisors, and village leaders to understand the strengths and challenges of such a supervision model for CHWs. Quantitative and qualitative data were collected concurrently from CHWs, supervisors, and village leaders. A survey was administered to 228 (96%) of the CHWs in the Integrated MNCH Program and semi-structured interviews were conducted with 15 CHWs, 8 supervisors, and 15 village leaders purposefully sampled to represent different actor perspectives from health centre catchment villages in Morogoro region. Descriptive statistics analysed the frequency and content of CHW supervision, while thematic content analysis explored CHW, supervisor, and village leader experiences with CHW supervision. CHWs meet with their facility-based supervisors an average of 1.2 times per month. CHWs value supervision and appreciate the sense of legitimacy that arises when supervisors visit them in their village. Village leaders and district staff are engaged and committed to supporting CHWs. Despite these successes, facility-based supervisors visit CHWs in their village an average of only once every 2.8 months, CHWs and supervisors still see supervision primarily as an opportunity to check reports, and meetings with district staff are infrequent and not well scheduled. Supervision of CHWs could be strengthened by streamlining supervision protocols to focus less on report checking and more on problem solving and skills development

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

Science.gov (United States)

Yonemoto, Haruka; Asai, Kiyoshi; Hamada, Michiaki

2015-08-01

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

Classification of perovskites with supervised self-organizing maps

International Nuclear Information System (INIS)

Kuzmanovski, Igor; Dimitrovska-Lazova, Sandra; Aleksovska, Slobotka

2007-01-01

In this work supervised self-organizing maps were used for structural classification of perovskites. For this purpose, structural data for total number of 286 perovskites, belonging to ABO 3 and/or A 2 BB'O 6 types, were collected from literature: 130 of these are cubic, 85 orthorhombic and 71 monoclinic. For classification purposes, the effective ionic radii of the cations, electronegativities of the cations in B-position, as well as, the oxidation states of these cations, were used as input variables. The parameters of the developed models, as well as, the most suitable variables for classification purposes were selected using genetic algorithms. Two-third of all the compounds were used in the training phase. During the optimization process the performances of the models were checked using cross-validation leave-1/10-out. The performances of obtained solutions were checked using the test set composed of the remaining one-third of the compounds. The obtained models for classification of these three classes of perovskite compounds show very good results. Namely, the classification of the compounds in the test set resulted in small number of discrepancies (4.2-6.4%) between the actual crystallographic class and the one predicted by the models. All these results are strong arguments for the validity of supervised self-organizing maps for performing such types of classification. Therefore, the proposed procedure could be successfully used for crystallographic classification of perovskites in one of these three classes

Principals Performance of Supervision of Instructions in Public ...

African Journals Online (AJOL)

Data were collected from a sample of 604 out of 1640 teachers using stratified ... supervision of instructions in the school since effective supervision improves ... and reduces incidence of students' involvement in examination malpractices.

Supervision and inspection plans of plants activities

International Nuclear Information System (INIS)

Feijoo, J. P.

2009-01-01

Any idea of hierarchization between supervisor and supervised in inspection and supervision activities should necessarily be dismissed, and the independence of the supervisor when executing has tasks should be guaranteed. The inspection and supervision program enable the detection and resolution of materials and human problems alike. In addition, they are a solution to anticipate potential problems in the future, which results in a very significant reduction of industrial accidents and human errors, as well as better use and upkeep of equipment. With these programs we improve our management and our work, and without a doubt they help to strengthen the safety culture in Cofrentes Nuclear Power Plant. (Author)

Development of well construction and workover supervising in Russian Federation

International Nuclear Information System (INIS)

Sizov, A; Boyarko, G; Shenderova, I

2014-01-01

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

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…

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…

School Counselor Perceptions of Administrative Supervision Practices

Science.gov (United States)

Eddings, Geoffrey Creighton

2012-01-01

This study examined the perceptions of school counselors regarding administrative supervision practices in K-12 public schools in South Carolina. Specifically, the goal was to gain insight into how school counselors view current building-level supervision practices in relation to Pajak's Twelve Dimensions of Supervisory Practice, as well as how…

48 CFR 852.236-78 - Government supervision.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Government supervision. 852.236-78 Section 852.236-78 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS CLAUSES AND FORMS SOLICITATION PROVISIONS AND CONTRACT CLAUSES Texts of Provisions and Clauses 852.236-78 Government supervision. As prescribed in...

28 CFR 810.3 - Consequences of violating the conditions of supervision.

Science.gov (United States)

2010-07-01

... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Consequences of violating the conditions of supervision. 810.3 Section 810.3 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.3 Consequences of violating the conditions of supervision. ...

Supportive supervision for volunteers to deliver reproductive health education: a cluster randomized trial.

Science.gov (United States)

Singh, Debra; Negin, Joel; Orach, Christopher Garimoi; Cumming, Robert

2016-10-03

Community Health Volunteers (CHVs) can be effective in improving pregnancy and newborn outcomes through community education. Inadequate supervision of CHVs, whether due to poor planning, irregular visits, or ineffective supervisory methods, is, however, recognized as a weakness in many programs. There has been little research on best practice supervisory or accompaniment models. From March 2014 to February 2015 a proof of concept study was conducted to compare training alone versus training and supportive supervision by paid CHWs (n = 4) on the effectiveness of CHVs (n = 82) to deliver education about pregnancy, newborn care, family planning and hygiene. The pair-matched cluster randomized trial was conducted in eight villages (four intervention and four control) in Budondo sub-county in Jinja, Uganda. Increases in desired behaviors were seen in both the intervention and control arms over the study period. Both arms showed high retention rates of CHVs (95 %). At 1 year follow-up there was a significantly higher prevalence of installed and functioning tippy taps for hand washing (p services. Supportive supervision involves creating a non-threatening, empowering environment in which both the CHV and the supervising CHW learn together and overcome obstacles that might otherwise demotivate the CHV. While the results seem promising for added value with supportive supervision for CHVs undertaking reproductive health activities, further research on a larger scale will be needed to substantiate the effect.

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 giving and receiving clinical supervision as reported by therapists in Denmark. Method: Currently, the Danish sample consists of 350 clinical psychologist doing psychotherapy who completed DPCCQ. Data are currently being prepared for statistical analysis. Results: This paper will focus primarily...... on describing the amount and type of supervision received and given by the sample. Findings from these descriptive statistics will be compared within the sample across demographic parameters such as age and sex, and professional characteristics such as career level, theoretical preferences, type of clients...

Supervised and Unsupervised Classification for Pattern Recognition Purposes

Directory of Open Access Journals (Sweden)

Catalina COCIANU

2006-01-01

Full Text Available A cluster analysis task has to identify the grouping trends of data, to decide on the sound clusters as well as to validate somehow the resulted structure. The identification of the grouping tendency existing in a data collection assumes the selection of a framework stated in terms of a mathematical model allowing to express the similarity degree between couples of particular objects, quasi-metrics expressing the similarity between an object an a cluster and between clusters, respectively. In supervised classification, we are provided with a collection of preclassified patterns, and the problem is to label a newly encountered pattern. Typically, the given training patterns are used to learn the descriptions of classes which in turn are used to label a new pattern. The final section of the paper presents a new methodology for supervised learning based on PCA. The classes are represented in the measurement/feature space by a continuous repartitions

Caregivers' satisfaction and supervision of primary health care ...

African Journals Online (AJOL)

Caregivers' satisfaction and supervision of primary health care services in Nnewi, ... made in the reduction of childhood health indicators in the previous decade, ... supervision of PHCs should also improve the quality of child health services.

Supervised Convolutional Sparse Coding

KAUST Repository

Affara, Lama Ahmed; Ghanem, Bernard; Wonka, Peter

2018-01-01

coding, which aims at learning discriminative dictionaries instead of purely reconstructive ones. We incorporate a supervised regularization term into the traditional unsupervised CSC objective to encourage the final dictionary elements

Out-of-Sample Generalizations for Supervised Manifold Learning for Classification.

Science.gov (United States)

Vural, Elif; Guillemot, Christine

2016-03-01

Supervised manifold learning methods for data classification map high-dimensional data samples to a lower dimensional domain in a structure-preserving way while increasing the separation between different classes. Most manifold learning methods compute the embedding only of the initially available data; however, the generalization of the embedding to novel points, i.e., the out-of-sample extension problem, becomes especially important in classification applications. In this paper, we propose a semi-supervised method for building an interpolation function that provides an out-of-sample extension for general supervised manifold learning algorithms studied in the context of classification. The proposed algorithm computes a radial basis function interpolator that minimizes an objective function consisting of the total embedding error of unlabeled test samples, defined as their distance to the embeddings of the manifolds of their own class, as well as a regularization term that controls the smoothness of the interpolation function in a direction-dependent way. The class labels of test data and the interpolation function parameters are estimated jointly with an iterative process. Experimental results on face and object images demonstrate the potential of the proposed out-of-sample extension algorithm for the classification of manifold-modeled data sets.

The technical supervision interface

CERN Document Server

Sollander, P

1998-01-01

The Technical Control Room (TCR) is currently using 30 different applications for the remote supervision of the technical infrastructure at CERN. These applications have all been developed with the CERN made Uniform Man Machine Interface (UMMI) tools built in 1990. However, the visualization technology has evolved phenomenally since 1990, the Technical Data Server (TDS) has radically changed our control system architecture, and the standardization and the maintenance of the UMMI applications have become important issues as their number increases. The Technical Supervision Interface is intended to replace the UMMI and solve the above problems. Using a standard WWW-browser for the display, it will be inherently multi-platform and hence available for control room operators, equipment specialists and on-call personnel.

A Supervised Machine Learning Study of Online Discussion Forums about Type-2 Diabetes

DEFF Research Database (Denmark)

Reichert, Jonathan-Raphael; Kristensen, Klaus Langholz; Mukkamala, Raghava Rao

2017-01-01

supervised machine learning techniques to analyze the online conversations. In order to analyse these online textual conversations, we have chosen four domain specific models (Emotions, Sentiment, Personality Traits and Patient Journey). As part of text classification, we employed the ensemble learning...... method by using 5 different supervised machine learning algorithms to build a set of text classifiers by using the voting method to predict most probable label for a given textual conversation from the online discussion forums. Our findings show that there is a high amount of trust expressed by a subset...

A MACROPRUDENTIAL SUPERVISION MODEL. EMPIRICAL EVIDENCE FROM THE CENTRAL AND EASTERN EUROPEAN BANKING SYSTEM

Directory of Open Access Journals (Sweden)

Trenca Ioan

2013-07-01

Full Text Available One of the positive effects of the financial crises is the increasing concern of the supervisors regarding the financial system’s stability. There is a need to strengthen the links between different financial components of the financial system and the macroeconomic environment. Banking systems that have an adequate capitalization and liquidity level may face easier economic and financial shocks. The purpose of this empirical study is to identify the main determinants of the banking system’s stability and soundness in the Central and Eastern Europe countries. We asses the impact of different macroeconomic variables on the quality of capital and liquidity conditions and examine the behaviour of these financial stability indicators, by analyzing a sample of 10 banking systems during 2000-2011. The availability of banking capital signals the banking system’s resiliency to shocks. Capital adequacy ratio is the main indicator used to assess the banking fragility. One of the causes of the 2008-2009 financial crisis was the lack of liquidity in the banking system which led to the collapse of several banking institutions and macroeconomic imbalances. Given the importance of liquidity for the banking system, we propose several models in order to determine the macroeconomic variables that have a significant influence on the liquid reserves to total assets ratio. We found evidence that GDP growth, inflation, domestic credit to private sector, as well as the money and quasi money aggregate indicator have significant impact on the banking stability. The empirical regression confirms the high level of interdependence of the real sector with the financial-banking sector. Also, they prove the necessity for an effective macro prudential supervision at country level which enables the supervisory authorities to have an adequate control over the macro prudential indicators and to take appropriate decisions at the right time.

19 CFR 19.38 - Supervision of exportation.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 1 2010-04-01 2010-04-01 false Supervision of exportation. 19.38 Section 19.38 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 Duty-Free Stores § 19.38 Supervision of exportation. (a) Sales...

Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation

Directory of Open Access Journals (Sweden)

ZALL, R.

2016-05-01

Full Text Available Correlated information between different views incorporate useful for learning in multi view data. Canonical correlation analysis (CCA plays important role to extract these information. However, CCA only extracts the correlated information between paired data and cannot preserve correlated information between within-class samples. In this paper, we propose a two-view semi-supervised learning method called semi-supervised random correlation ensemble base on spectral clustering (SS_RCE. SS_RCE uses a multi-view method based on spectral clustering which takes advantage of discriminative information in multiple views to estimate labeling information of unlabeled samples. In order to enhance discriminative power of CCA features, we incorporate the labeling information of both unlabeled and labeled samples into CCA. Then, we use random correlation between within-class samples from cross view to extract diverse correlated features for training component classifiers. Furthermore, we extend a general model namely SSMV_RCE to construct ensemble method to tackle semi-supervised learning in the presence of multiple views. Finally, we compare the proposed methods with existing multi-view feature extraction methods using multi-view semi-supervised ensembles. Experimental results on various multi-view data sets are presented to demonstrate the effectiveness of the proposed methods.

Discriminative semi-supervised feature selection via manifold regularization.

Science.gov (United States)

Xu, Zenglin; King, Irwin; Lyu, Michael Rung-Tsong; Jin, Rong

2010-07-01

Feature selection has attracted a huge amount of interest in both research and application communities of data mining. We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number of labeled samples are usually insufficient for identifying the relevant features, the critical problem arising from semi-supervised feature selection is how to take advantage of the information underneath the unlabeled data. To address this problem, we propose a novel discriminative semi-supervised feature selection method based on the idea of manifold regularization. The proposed approach selects features through maximizing the classification margin between different classes and simultaneously exploiting the geometry of the probability distribution that generates both labeled and unlabeled data. In comparison with previous semi-supervised feature selection algorithms, our proposed semi-supervised feature selection method is an embedded feature selection method and is able to find more discriminative features. We formulate the proposed feature selection method into a convex-concave optimization problem, where the saddle point corresponds to the optimal solution. To find the optimal solution, the level method, a fairly recent optimization method, is employed. We also present a theoretic proof of the convergence rate for the application of the level method to our problem. Empirical evaluation on several benchmark data sets demonstrates the effectiveness of the proposed semi-supervised feature selection method.

Evaluation Of Loan Disbursement And Repayment Of Supervised ...

African Journals Online (AJOL)

Evaluation Of Loan Disbursement And Repayment Of Supervised Credit ... bank as regard to loan supervision was scored low as a result of low rate of loan recovery, ... strategy to recover outstanding debts and reduce interest charge on loans.

Constrained Deep Weak Supervision for Histopathology Image Segmentation.

Science.gov (United States)

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

2017-11-01

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

Quality of clinical supervision and counselor emotional exhaustion: the potential mediating roles of organizational and occupational commitment.

Science.gov (United States)

Knudsen, Hannah K; Roman, Paul M; Abraham, Amanda J

2013-01-01

Counselor emotional exhaustion has negative implications for treatment organizations as well as the health of counselors. Quality clinical supervision is protective against emotional exhaustion, but research on the mediating mechanisms between supervision and exhaustion is limited. Drawing upon data from 934 counselors affiliated with treatment programs in the National Institute on Drug Abuse's Clinical Trials Network (CTN), this study examined commitment to the treatment organization and commitment to the counseling occupation as potential mediators of the relationship between quality clinical supervision and emotional exhaustion. The final ordinary least squares (OLS) regression model, which accounted for the nesting of counselors within treatment organizations, indicated that these two types of commitment were plausible mediators of the association between clinical supervision and exhaustion. Higher quality clinical supervision was strongly correlated with commitment to the treatment organization as well as commitment to the occupation of SUD counseling. These findings suggest that quality clinical supervision has the potential to yield important benefits for counselor well-being by strengthening ties to both their employing organization as well the larger treatment field, but longitudinal research is needed to establish these causal relationships. Copyright © 2013 Elsevier Inc. All rights reserved.

Ischemia Detection Using Supervised Learning for Hierarchical Neural Networks Based on Kohonen-Maps

National Research Council Canada - National Science Library

Vladutu, L

2001-01-01

.... The motivation for developing the Supervising Network - Self Organizing Map (sNet-SOM) model is to design computationally effective solutions for the particular problem of ischemia detection and other similar applications...

Fault Diagnosis of Supervision and Homogenization Distance Based on Local Linear Embedding Algorithm

Directory of Open Access Journals (Sweden)

Guangbin Wang

2015-01-01

Full Text Available In view of the problems of uneven distribution of reality fault samples and dimension reduction effect of locally linear embedding (LLE algorithm which is easily affected by neighboring points, an improved local linear embedding algorithm of homogenization distance (HLLE is developed. The method makes the overall distribution of sample points tend to be homogenization and reduces the influence of neighboring points using homogenization distance instead of the traditional Euclidean distance. It is helpful to choose effective neighboring points to construct weight matrix for dimension reduction. Because the fault recognition performance improvement of HLLE is limited and unstable, the paper further proposes a new local linear embedding algorithm of supervision and homogenization distance (SHLLE by adding the supervised learning mechanism. On the basis of homogenization distance, supervised learning increases the category information of sample points so that the same category of sample points will be gathered and the heterogeneous category of sample points will be scattered. It effectively improves the performance of fault diagnosis and maintains stability at the same time. A comparison of the methods mentioned above was made by simulation experiment with rotor system fault diagnosis, and the results show that SHLLE algorithm has superior fault recognition performance.

Supervised and unsupervised condition monitoring of non-stationary acoustic emission signals

DEFF Research Database (Denmark)

Sigurdsson, Sigurdur; Pontoppidan, Niels Henrik; Larsen, Jan

2005-01-01

condition changes across load changes. In this paper we approach this load interpolation problem with supervised and unsupervised learning, i.e. model with normal and fault examples and normal examples only, respectively. We apply non-linear methods for the learning of engine condition changes. Both...

Supervising undergraduate research: a collective approach utilising groupwork and peer support.

Science.gov (United States)

Baker, Mary-Jane; Cluett, Elizabeth; Ireland, Lorraine; Reading, Sheila; Rourke, Susan

2014-04-01

Nursing education now requires graduate entry for professional registration. The challenge is to ensure that students develop independence and team working in a resource effective manner. The dissertation is one opportunity for this. To evaluate changing from individual dissertation supervision to group peer supervision. Group supervision was implemented for one cohort. Dissertation outcomes were compared with two previous cohorts. Student evaluative data was assessed. Group supervision did not adversely affect dissertation outcomes (p=0.85). 88% of students reported peer supervision to be helpful, with themes being 'support and sharing', and 'progress and moving forward'. Peer group support provided consistent supervision harnessing the energy and resources of the students and Faculty, without adversely affecting outcomes. Copyright © 2013 Elsevier Ltd. All rights reserved.

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…

7 CFR 550.32 - Project supervision and responsibilities.

Science.gov (United States)

2010-01-01

... Management of Agreements Program Management § 550.32 Project supervision and responsibilities. (a) The... with a project plan for use for external peer review. ... 7 Agriculture 6 2010-01-01 2010-01-01 false Project supervision and responsibilities. 550.32...

A review of supervised machine learning applied to ageing research.

Science.gov (United States)

Fabris, Fabio; Magalhães, João Pedro de; Freitas, Alex A

2017-04-01

Broadly speaking, supervised machine learning is the computational task of learning correlations between variables in annotated data (the training set), and using this information to create a predictive model capable of inferring annotations for new data, whose annotations are not known. Ageing is a complex process that affects nearly all animal species. This process can be studied at several levels of abstraction, in different organisms and with different objectives in mind. Not surprisingly, the diversity of the supervised machine learning algorithms applied to answer biological questions reflects the complexities of the underlying ageing processes being studied. Many works using supervised machine learning to study the ageing process have been recently published, so it is timely to review these works, to discuss their main findings and weaknesses. In summary, the main findings of the reviewed papers are: the link between specific types of DNA repair and ageing; ageing-related proteins tend to be highly connected and seem to play a central role in molecular pathways; ageing/longevity is linked with autophagy and apoptosis, nutrient receptor genes, and copper and iron ion transport. Additionally, several biomarkers of ageing were found by machine learning. Despite some interesting machine learning results, we also identified a weakness of current works on this topic: only one of the reviewed papers has corroborated the computational results of machine learning algorithms through wet-lab experiments. In conclusion, supervised machine learning has contributed to advance our knowledge and has provided novel insights on ageing, yet future work should have a greater emphasis in validating the predictions.

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

Science.gov (United States)

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

2014-03-01

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

The Relationships between Doctoral Students’ Perceptions of Supervision and Burnout

Directory of Open Access Journals (Sweden)

Solveig Cornér

2017-06-01

Full Text Available Aim/Purpose: Both the quality and the quantity of doctoral supervision have been identified as central determinants of the doctoral journey. However, there is a gap in our understanding of how supervision activities are associated with lack of wellbeing, such as burnout, and also to completion of the studies among doctoral students. Background:\tThe study explored doctoral students’ perceptions of different aspects of supervision including the primary sources, frequency, expressed satisfaction and their interrelation with experienced stress, exhaustion and cynicism. Methodology: Altogether 248 doctoral students from three Finnish universities representing social sciences, arts and humanities, and natural and life sciences responded to an adapted version of a Doctoral Experience Survey. A combination of several measures was used to investigate the students’ experiences of supervision and burnout. Contribution:\tThe results showed that students benefit from having several and different kinds of supervision activities. Various sources contribute not only to experiences of the doctoral journey and burnout, but also to the completion of the studies. Findings: Experienced lack of satisfaction with supervision and equality within the researcher community and a low frequency of supervision were related to experiences of burnout. Experiences of burnout were connected to students’ attrition intentions. Attrition intentions were related to source of supervision, the form of thesis, and inadequate supervision frequency. Frequency was related to both experience of burnout and likelihood of attrition. Recommendations for Practitioners: A recommendation developed from this research is to assist doctoral students with sufficient support, especially equality within the scholarly community and frequency of supervision. Further, greater emphasis could be put on group supervision and other collective forms of supervision. It is important that doctoral

Optimization of safety production supervision mode of coalmining enterprises

Energy Technology Data Exchange (ETDEWEB)

Zhou, M.; Xiao, Z. [China University of Mining and Technology, Xuzhou (China). School of Management

2005-12-01

In view of the fact that safety production supervision of coal mines in China features low efficacy, this paper applies principles of cybernetics to simulate the dynamic process of safety supervision, and proposes that institutional variables be controlled to support intermediate goals, which in turn contribute to the ultimate safety production objective. Rather than focussing all attention on safety issues of working faces, supervising departments of coalmines are advised to pay much more attention to institutional factors that may impact people's attitude and behavior, which are responsible for most coalmine accidents. It is believed that such a shift of attention can effectively reduce coalmining production accidents and greatly enhance supervision efficacy. 8 refs., 5 figs.

Preparing supervisors to provide safeguarding supervision for healthcare staff.

Science.gov (United States)

Smikle, Marcia

2017-11-28

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

28 CFR 2.206 - Travel approval and transfers of supervision.

Science.gov (United States)

2010-07-01

... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Travel approval and transfers of supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT OF PRISONERS, YOUTH OFFENDERS, AND JUVENILE DELINQUENTS District of Columbia Supervised Releasees § 2.206 Travel approval and...

Performance Monitoring Applied to System Supervision

Directory of Open Access Journals (Sweden)

Bertille Somon

2017-07-01

Full Text Available Nowadays, automation is present in every aspect of our daily life and has some benefits. Nonetheless, empirical data suggest that traditional automation has many negative performance and safety consequences as it changed task performers into task supervisors. In this context, we propose to use recent insights into the anatomical and neurophysiological substrates of action monitoring in humans, to help further characterize performance monitoring during system supervision. Error monitoring is critical for humans to learn from the consequences of their actions. A wide variety of studies have shown that the error monitoring system is involved not only in our own errors, but also in the errors of others. We hypothesize that the neurobiological correlates of the self-performance monitoring activity can be applied to system supervision. At a larger scale, a better understanding of system supervision may allow its negative effects to be anticipated or even countered. This review is divided into three main parts. First, we assess the neurophysiological correlates of self-performance monitoring and their characteristics during error execution. Then, we extend these results to include performance monitoring and error observation of others or of systems. Finally, we provide further directions in the study of system supervision and assess the limits preventing us from studying a well-known phenomenon: the Out-Of-the-Loop (OOL performance problem.

Analyzing the relationship between depression, abusive supervision & organizational deviance: An SEM approach

Directory of Open Access Journals (Sweden)

Garima Mathur

2018-04-01

Full Text Available Workplace deviance means the intention or desire of the employees to cause harm to the organizations. In current era, organizations are facing the deviant behavior of employees because of that employees are not working properly, absenteeism is increasing and employees are having low level of belongingness towards their organization and the consequences of these issues are observed in the organizations in the form of lower productivity & high turnover rate. The current research was an attempt to find out the relationship between depression abusive supervision and organizational deviance. Confirmatory factor analysis was applied to confirm factors appeared through exploratory factor analysis. Structural equation modeling was applied to test the relationship between independent variables and dependent variable and also to develop a model. The results of the study indicated the significant impact of abusive supervision and depression on organizational deviance.

Alternative approaches to postgraduate supervision: A planning tool ...

African Journals Online (AJOL)

Increased demands on academics due to the changing work and higher educational environments challenge traditional approaches to postgraduate supervision. Supervisors often tend to follow the apprenticeship approach uncritically. Supervisors therefore need to be aware of alternative approaches to supervision and of ...

A new supervised learning algorithm for spiking neurons.

Science.gov (United States)

Xu, Yan; Zeng, Xiaoqin; Zhong, Shuiming

2013-06-01

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

Cognitive Inference Device for Activity Supervision in the Elderly

Directory of Open Access Journals (Sweden)

Nilamadhab Mishra

2014-01-01

Full Text Available Human activity, life span, and quality of life are enhanced by innovations in science and technology. Aging individual needs to take advantage of these developments to lead a self-regulated life. However, maintaining a self-regulated life at old age involves a high degree of risk, and the elderly often fail at this goal. Thus, the objective of our study is to investigate the feasibility of implementing a cognitive inference device (CI-device for effective activity supervision in the elderly. To frame the CI-device, we propose a device design framework along with an inference algorithm and implement the designs through an artificial neural model with different configurations, mapping the CI-device’s functions to minimise the device’s prediction error. An analysis and discussion are then provided to validate the feasibility of CI-device implementation for activity supervision in the elderly.

To Be or Not to Be: Community Supervision Deja Vu

Science.gov (United States)

Taxman, Faye S.

2008-01-01

Supervision is an undervalued part of the correctional services. Over the last three decades, innovations have focused on increasing the number of contacts between the offender and the supervision employee, to little avail. A new generation of innovations is occurring in the supervision field that is directed at changing the interaction between…

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

Science.gov (United States)

Mostafa, J.; Lam, W.

2000-01-01

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

The reflective meta-dialogue in psycho-dynamic supervision

DEFF Research Database (Denmark)

Frølund, Lone; Nielsen, Jan

2009-01-01

the therapeutic practice in the supervision. The mutual relations and processes between therapeutic practice and supervision will be illustrated by the so-called mirror axes, which play an important part in the transformation from learning to integrated experience. We will focus on the relationship...

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.)

Shame, the scourge of supervision

Directory of Open Access Journals (Sweden)

Valérie Perret

2017-07-01

• How can the supervisor deal with it? My motivation in writing this article is born from my personal experience with shame. It inhibited my thinking, my spontaneity, my creativity, and therefore limited my personal and professional development. Freeing myself allowed me to recover liberty, energy and legitimacy. I gained in professional competence and assertiveness within my practice as supervisor. My purpose in writing this article is that we, as supervisors, reflect together on how we look at the process of shame in our supervision sessions.  Citation - APA format: Perret, V. (2017. Shame, the scourge of supervision. International Journal of Transactional Analysis Research & Practice, 8(2, 41-48.

Semi-Supervised Classification for Fault Diagnosis in Nuclear Power Plants

International Nuclear Information System (INIS)

Ma, Jian Ping; Jiang, Jin

2014-01-01

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

Online and Batch Supervised Background Estimation via L1 Regression

KAUST Repository

Dutta, Aritra

2017-11-23

We propose a surprisingly simple model for supervised video background estimation. Our model is based on $\\\\ell_1$ regression. As existing methods for $\\\\ell_1$ regression do not scale to high-resolution videos, we propose several simple and scalable methods for solving the problem, including iteratively reweighted least squares, a homotopy method, and stochastic gradient descent. We show through extensive experiments that our model and methods match or outperform the state-of-the-art online and batch methods in virtually all quantitative and qualitative measures.

Online and Batch Supervised Background Estimation via L1 Regression

KAUST Repository

Dutta, Aritra; Richtarik, Peter

2017-01-01

We propose a surprisingly simple model for supervised video background estimation. Our model is based on $\\ell_1$ regression. As existing methods for $\\ell_1$ regression do not scale to high-resolution videos, we propose several simple and scalable methods for solving the problem, including iteratively reweighted least squares, a homotopy method, and stochastic gradient descent. We show through extensive experiments that our model and methods match or outperform the state-of-the-art online and batch methods in virtually all quantitative and qualitative measures.

Strengthening malaria service delivery through supportive supervision and community mobilization in an endemic Indian setting: an evaluation of nested delivery models.

Science.gov (United States)

Das, Ashis; Friedman, Jed; Kandpal, Eeshani; Ramana, Gandham N V; Gupta, Rudra Kumar Das; Pradhan, Madan M; Govindaraj, Ramesh

2014-12-08

Malaria continues to be a prominent global public health challenge. This study tested the effectiveness of two service delivery models for reducing the malaria burden, e.g. supportive supervision of community health workers (CHW) and community mobilization in promoting appropriate health-seeking behaviour for febrile illnesses in Odisha, India. The study population comprised 120 villages from two purposively chosen malaria-endemic districts, with 40 villages randomly assigned to each of the two treatment arms, one with both supportive supervision and community mobilization and one with community mobilization alone, as well as an observational control arm. Outcome measures included changes in the utilization of bed nets and timely care-seeking for fever from a trained provider compared to the control group. Analysis was by intention-to-treat. Significant improvements were observed in the reported utilization of bed nets in both intervention arms (84.5% in arm A and 82.4% in arm B versus 78.6% in the control arm; p skilled provider within 24 hours than fever cases from the control arm (50.1%). In particular, women from the combined interventions arm were more likely to have received timely treatment from a skilled provider (61.6% vs. 47.2%; p = 0.028). A community-based intervention combining the supportive supervision of community health workers with intensive community mobilization and can be effective in improving care-seeking and preventive behaviour and may be used to strengthen the national malaria control programme.

Characterization and reconstruction of 3D stochastic microstructures via supervised learning.

Science.gov (United States)

Bostanabad, R; Chen, W; Apley, D W

2016-12-01

The need for computational characterization and reconstruction of volumetric maps of stochastic microstructures for understanding the role of material structure in the processing-structure-property chain has been highlighted in the literature. Recently, a promising characterization and reconstruction approach has been developed where the essential idea is to convert the digitized microstructure image into an appropriate training dataset to learn the stochastic nature of the morphology by fitting a supervised learning model to the dataset. This compact model can subsequently be used to efficiently reconstruct as many statistically equivalent microstructure samples as desired. The goal of this paper is to build upon the developed approach in three major directions by: (1) extending the approach to characterize 3D stochastic microstructures and efficiently reconstruct 3D samples, (2) improving the performance of the approach by incorporating user-defined predictors into the supervised learning model, and (3) addressing potential computational issues by introducing a reduced model which can perform as effectively as the full model. We test the extended approach on three examples and show that the spatial dependencies, as evaluated via various measures, are well preserved in the reconstructed samples. © 2016 The Authors Journal of Microscopy © 2016 Royal Microscopical Society.

The supervisions in the field develop nuclear professionals

International Nuclear Information System (INIS)

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

2015-01-01

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)

77 FR 32881 - Supervised Securities Holding Company Registration

Science.gov (United States)

2012-06-04

...), The Report of Foreign Banking Organizations (FR Y-7), The Consolidated Financial Statements for Bank... Y-9ES), The Supplement to the Consolidated Financial Statements for Bank Holding Companies (FR Y-9CS... comprehensive consolidated supervision by a foreign regulator, a nonbank financial company supervised by the...

Supervision og de tre k´er

DEFF Research Database (Denmark)

Schilling, Benedicte; Jacobsen, Claus Haugaard; Nielsen, Jan

2010-01-01

Kontrol, kontrakt og kontekst er supervisionens tre k'er. Men hvad er supervision i det hele taget for en størrelse, der spillerså central en rolle for den psykologfaglige profession?......Kontrol, kontrakt og kontekst er supervisionens tre k'er. Men hvad er supervision i det hele taget for en størrelse, der spillerså central en rolle for den psykologfaglige profession?...

RELATIONAL NEEDS OF THE THERAPIST: COUNTERTRANSFERENCE, CLINICAL WORK AND SUPERVISION. BENEFITS AND DISRUPTIONS IN PSYCHOTHERAPY

Directory of Open Access Journals (Sweden)

Lindsay Stewart

2010-02-01

Full Text Available Relational needs are the emotional needs which underlie our social connectedness and help sustain and nurture our attachments to others. In doing psychotherapy, therapists must be attuned not only to the needs of the client, but also to their own relational needs. Through self awareness and knowledge of healthy and appropriate boundaries, therapists can ensure the best interest of the client is kept foremost. In this article, the influence of the therapist’s own relational needs in the psychotherapy process is examined in terms of the possible benefits and disruptions to the client’s emotional growth. This is discussed in the context of the Integrative Psychotherapy model based on the core concepts of inquiry, involvement and attunement. Clinical supervision is seen as an important part of working through counter-transference.

THE EFFECTIVENESS OF PRUDENTIAL BANKING SUPERVISION: PECULIARITIES OF METHODICAL APPROACHES

Directory of Open Access Journals (Sweden)

S. Naumenkova

2015-10-01

Full Text Available Іn the article the theoretical fundamentals of the prudential banking supervision effectiveness and substantiation of approaches to calculation of the integral indicator of supervisory system compliance with the Basel Committee Core Principles were investigated. The “functional effectiveness” and “institutional effectiveness” concepts of supervisory activity were suggested. The authors have defined the influence of supervisory organizing structure on GDP growth by groups of countries in the world. The list of priority measures focused on increase of the effectiveness of prudential supervisory activity was systematized to restore sustainability of the national banking sector.

THE CURRENT INTERNATIONAL FINANCIAL CRISIS AND THE FINANCIAL SUPERVISION INSTITUTIONAL ARRANGEMENTS EFFECTIVENESS IN THE EUROPEAN UNION COUNTRIES

OpenAIRE

STOICA Ovidiu; CAPRARU Bogdan

2012-01-01

The international financial turmoil rise challenges in evaluating and choosing the optimal financial supervision institutional arrangements in many countries. Our study focuses on the financial supervision institutional architecture and its effectiveness in the European Union during the international financial crisis.We evaluated the effectiveness of the financial supervisory framework by groups of countries, categorised according to the supervisory model. Our analysis demonstrates that the p...

Objective coding of content and techniques in workplace-based supervision of an EBT in public mental health.

Science.gov (United States)

Dorsey, Shannon; Kerns, Suzanne E U; Lucid, Leah; Pullmann, Michael D; Harrison, Julie P; Berliner, Lucy; Thompson, Kelly; Deblinger, Esther

2018-01-24

Workplace-based clinical supervision as an implementation strategy to support evidence-based treatment (EBT) in public mental health has received limited research attention. A commonly provided infrastructure support, it may offer a relatively cost-neutral implementation strategy for organizations. However, research has not objectively examined workplace-based supervision of EBT and specifically how it might differ from EBT supervision provided in efficacy and effectiveness trials. Data come from a descriptive study of supervision in the context of a state-funded EBT implementation effort. Verbal interactions from audio recordings of 438 supervision sessions between 28 supervisors and 70 clinicians from 17 public mental health organizations (in 23 offices) were objectively coded for presence and intensity coverage of 29 supervision strategies (16 content and 13 technique items), duration, and temporal focus. Random effects mixed models estimated proportion of variance in content and techniques attributable to the supervisor and clinician levels. Interrater reliability among coders was excellent. EBT cases averaged 12.4 min of supervision per session. Intensity of coverage for EBT content varied, with some discussed frequently at medium or high intensity (exposure) and others infrequently discussed or discussed only at low intensity (behavior management; assigning/reviewing client homework). Other than fidelity assessment, supervision techniques common in treatment trials (e.g., reviewing actual practice, behavioral rehearsal) were used rarely or primarily at low intensity. In general, EBT content clustered more at the clinician level; different techniques clustered at either the clinician or supervisor level. Workplace-based clinical supervision may be a feasible implementation strategy for supporting EBT implementation, yet it differs from supervision in treatment trials. Time allotted per case is limited, compressing time for EBT coverage. Techniques that

The Kokeshi Doll: A Tool for Family Supervision.

Science.gov (United States)

Sampson, Dick T.

1996-01-01

Claims that the use of Kokeshi dolls--a small limbless cylindrical wooden doll from Japan--allows counseling supervisees to focus on conceptualizations, personalization, and process skills. Uses a case study to illustrate how these dolls can enhance supervision, allowing trainees to become actively involved in the supervision process. (RJM)

The Views of Educational Supervisors on Clinical Supervision

Science.gov (United States)

Kayikçi, Kemal; Yilmaz, Ozan; Sahin, Ahmet

2017-01-01

Contemporary educational supervision expresses democratic and leadership focused supervisory approach which consists of collaboration, trust, sharing and improving. The aims of the study are to investigate the answer of how current teacher supervision in Turkey is conducted according to the views of educational supervisors, and to unearth what the…

Cliché, Gossip, and Anecdote as Supervision Training

Science.gov (United States)

Grealy, Liam

2016-01-01

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

Online Lab Books for Supervision of Project Students

Science.gov (United States)

Badge, J. L.; Badge, R. M.

2009-01-01

In this article, the authors report a case study where Blackboard's wiki function was used to create electronic lab books for the supervision of undergraduate students completing laboratory based research projects. This successful experiment in supervision using electronic notebooks provided a searchable record of student work and a permanent…

Professional Disclosure Statements and Formal Plans for Supervision: Two Strategies for Minimizing the Risk of Ethical Conflicts in Post-Master's Supervision.

Science.gov (United States)

Cobia, Debra C.; Boes, Susan R.

2000-01-01

Discusses ethical conflicts related to issues of informed consent, due process, competence, confidentiality, and dual relationships in supervision. Proposes two strategies as ways to minimize the potential for ethical conflict in post-master's supervision: the use of professional disclosure statements by supervisors and the development of formal…

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

International Nuclear Information System (INIS)

Zhang Liying; Zou Pingguo; Zhu Chenghu; Lu Haoliang; Wu Jie

2008-01-01

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)

Parental supervision for their children's toothbrushing: Mediating effects of planning, self-efficacy, and action control.

Science.gov (United States)

Hamilton, Kyra; Cornish, Stephen; Kirkpatrick, Aaron; Kroon, Jeroen; Schwarzer, Ralf

2018-05-01

With 60-90% of children worldwide reportedly experiencing dental caries, poor oral health in the younger years is a major public health issue. As parents are important to children's oral hygiene practices, we examined the key self-regulatory behaviours of parents for supervising their children's toothbrushing using the health action process approach. Participants (N = 281, 197 mothers) comprised Australian parents of 2- to 5-year-olds. A longitudinal design was used to investigate the sequential mediation chain for the effect of intention (Time 1) on parental supervision for their youngest child's toothbrushing (Time 3), via self-efficacy and planning (Time 2), and action control (Time 3). A latent-variable structural equation model, controlling for baseline behaviour and habit, revealed significant indirect effects from intention via self-efficacy and action control and intention via planning and action control, on parental supervision behaviour. The model was a good fit to the data, explaining 74% of the variance in parents' supervising behaviour for their children's toothbrushing. While national recommendations are provided to guide parents in promoting good oral hygiene practices with their children, current results show the importance of going beyond simple knowledge transmission to support parents' intentions to supervise their children's toothbrushing actually materialize. Current findings make a significant contribution to the cumulative empirical evidence regarding self-regulatory components in health behaviour change and can inform intervention development to increase parents' participation in childhood oral hygiene practices, thus helping to curb rising oral health conditions and diseases. Statement of contribution What is already known on this subject? Self-regulatory skills are important to translate intentions into behaviour. Self-efficacy, planning, and action control are key self-regulatory skills for behaviour change. What does this study add

Supervised detection of exoplanets in high-contrast imaging sequences

Science.gov (United States)

Gomez Gonzalez, C. A.; Absil, O.; Van Droogenbroeck, M.

2018-06-01

Context. Post-processing algorithms play a key role in pushing the detection limits of high-contrast imaging (HCI) instruments. State-of-the-art image processing approaches for HCI enable the production of science-ready images relying on unsupervised learning techniques, such as low-rank approximations, for generating a model point spread function (PSF) and subtracting the residual starlight and speckle noise. Aims: In order to maximize the detection rate of HCI instruments and survey campaigns, advanced algorithms with higher sensitivities to faint companions are needed, especially for the speckle-dominated innermost region of the images. Methods: We propose a reformulation of the exoplanet detection task (for ADI sequences) that builds on well-established machine learning techniques to take HCI post-processing from an unsupervised to a supervised learning context. In this new framework, we present algorithmic solutions using two different discriminative models: SODIRF (random forests) and SODINN (neural networks). We test these algorithms on real ADI datasets from VLT/NACO and VLT/SPHERE HCI instruments. We then assess their performances by injecting fake companions and using receiver operating characteristic analysis. This is done in comparison with state-of-the-art ADI algorithms, such as ADI principal component analysis (ADI-PCA). Results: This study shows the improved sensitivity versus specificity trade-off of the proposed supervised detection approach. At the diffraction limit, SODINN improves the true positive rate by a factor ranging from 2 to 10 (depending on the dataset and angular separation) with respect to ADI-PCA when working at the same false-positive level. Conclusions: The proposed supervised detection framework outperforms state-of-the-art techniques in the task of discriminating planet signal from speckles. In addition, it offers the possibility of re-processing existing HCI databases to maximize their scientific return and potentially improve

Semi-Supervised Transductive Hot Spot Predictor Working on Multiple Assumptions

KAUST Repository

Wang, Jim Jing-Yan

2014-05-23

Protein-protein interactions are critically dependent on just a few residues (“hot spots”) at the interfaces. Hot spots make a dominant contribution to the binding free energy and if mutated they can disrupt the interaction. As mutagenesis studies require significant experimental efforts, there exists a need for accurate and reliable computational hot spot prediction methods. Compared to the supervised hot spot prediction algorithms, the semi-supervised prediction methods can take into consideration both the labeled and unlabeled residues in the dataset during the prediction procedure. The transductive support vector machine has been utilized for this task and demonstrated a better prediction performance. To the best of our knowledge, however, none of the transductive semi-supervised algorithms takes all the three semisupervised assumptions, i.e., smoothness, cluster and manifold assumptions, together into account during learning. In this paper, we propose a novel semi-supervised method for hot spot residue prediction, by considering all the three semisupervised assumptions using nonlinear models. Our algorithm, IterPropMCS, works in an iterative manner. In each iteration, the algorithm first propagates the labels of the labeled residues to the unlabeled ones, along the shortest path between them on a graph, assuming that they lie on a nonlinear manifold. Then it selects the most confident residues as the labeled ones for the next iteration, according to the cluster and smoothness criteria, which is implemented by a nonlinear density estimator. Experiments on a benchmark dataset, using protein structure-based features, demonstrate that our approach is effective in predicting hot spots and compares favorably to other available methods. The results also show that our method outperforms the state-of-the-art transductive learning methods.

Extensions of I{sub X}T{sub E}T and its application to electric power network supervision; Extensions d`I{sub X}T{sub E}t pour son application a la supervision d`un reseau electrique

Energy Technology Data Exchange (ETDEWEB)

Despouys, O.; Ingrand, F.; Ghallab, M.; Gouyon, J.P.

1997-07-01

A chronicle model describes a set of possible behaviours for a given dynamic system. I{sub X}T{sub E}T uses a reified logic and temporal constraints to describe chronicles. It also uses algorithms which allow it to recognize all the instances of theses chronicles through a stream of time-stamped events given as an input. I{sub X}T{sub E}T is used in a number of complex supervision applications. Recent extensions to I{sub X}T{sub E}T, enabling its application at the national utility Electricite de France for electric network supervision and more especially for event and fault diagnosis. The new approach, notably based on facultative events or non-events, is compared to the FONSYNT previous supervision approach used at EDF

28 CFR 2.95 - Early termination from supervision.

Science.gov (United States)

2010-07-01

... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Early termination from supervision. 2.95 Section 2.95 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT OF PRISONERS, YOUTH OFFENDERS, AND JUVENILE DELINQUENTS District of Columbia Code: Prisoners and Parolees § 2.95 Early termination from...

Gender Effects on Managing and Supervising Salespersons: A ...

African Journals Online (AJOL)

This study investigates student perceptions of the gender effect on managing and supervising efforts. Based on 385 surveys, the results for the entire sample of students, as well as for male and female samples, showed the existence of a significant gender effect for some aspects of managing and supervising. Also ...

Energy efficiency analysis of steam ejector and electric vacuum pump for a turbine condenser air extraction system based on supervised machine learning modelling

International Nuclear Information System (INIS)

Strušnik, Dušan; Marčič, Milan; Golob, Marjan; Hribernik, Aleš; Živić, Marija; Avsec, Jurij

2016-01-01

Highlights: • Steam ejector pump and electric liquid ring vacuum pump are analysed and modelled. • A supervised machine learning models by using real process data are applied. • The equation of ejector pumped mass flow from steam turbine condenser was solved. • The loss of specific energy capable of work in a SEPS or LRVP component was analysed. • The economic efficiency analysis per different coal heating values was made. - Abstract: This paper compares the vapour ejector and electric vacuum pump power consumptions with machine learning algorithms by using real process data and presents some novelty guideline for the selection of an appropriate condenser vacuum pump system of a steam turbine power plant. The machine learning algorithms are made by using the supervised machine learning methods such as artificial neural network model and local linear neuro-fuzzy models. The proposed non-linear models are designed by using a wide range of real process operation data sets from the CHP system in the thermal power plant. The novelty guideline for the selection of an appropriate condenser vacuum pumps system is expressed in the comparative analysis of the energy consumption and use of specific energy capable of work. Furthermore, the novelty is expressed in the economic efficiency analysis of the investment taking into consideration the operating costs of the vacuum pump systems and may serve as basic guidelines for the selection of an appropriate condenser vacuum pump system of a steam turbine.

Supervision af psykologkandidater i privat praksis

DEFF Research Database (Denmark)

Petersen, Birgitte

et litteratur review over relevante temaer i supervisionslitteraturen samt overvejelser om læring i supervision. Afhandlingens empiriske resultater vil blive belyst og diskuteret med udgangspunkt i tilsvarende fænomener i supervisionslitteraturen. Resultaterne af undersøgelsen viser, at der er en...... række vigtige elementer ved supervision, der skal være opfyldt, hvis den skal opleves som udviklende og lærerig af praksiskandidaterne. Det er elementer som kontraktetablering, rådgivning og teoretisk refleksion, en tydelig teoretisk referenceramme samt støtte og anerkendelse fra supervisor. Det...

Supervision of tunnelling constructions and software used for their evaluation

Science.gov (United States)

Caravanas, Aristotelis; Hilar, Matous

2017-09-01

Supervision is a common instrument for controlling constructions of tunnels. In order to suit relevant project’s purposes a supervision procedure is modified by local conditions, habits, codes and ways of allocating of a particular tunnelling project. The duties of tunnel supervision are specified in an agreement with the client and they can include a wide range of activities. On large scale tunnelling projects the supervision tasks are performed by a high number of people of different professions. Teamwork, smooth communication and coordination are required in order to successfully fulfil supervision tasks. The efficiency and quality of tunnel supervision work are enhanced when specialized software applications are used. Such applications should allow on-line data management and the prompt evaluation, reporting and sharing of relevant construction information and other aspects. The client is provided with an as-built database that contains all the relevant information related to a construction process, which is a valuable tool for the claim management as well as for the evaluation of structure defects that can occur in the future. As a result, the level of risks related to tunnel constructions is decreased.

Impact of Geotechnical Factors on the Safety of Low Embankment Dams From the Perspective of Technical and Safety Supervision

Directory of Open Access Journals (Sweden)

Kasana Andrej

2015-03-01

Full Text Available Our research deals with a broad spectrum of problems concerning the variability of geotechnical factors and their influence on the safety of the biggest group of dam constructions in Slovakia, i.e., low earthfill dams. Its specific aim is the observation of their risk factors by using our experience and knowledge gained while working in the sector of technical and safety supervision. To achieve the aims of a research thesis, we analyzed 39 low earthfill dams. We performed observations and documented their conditions with the aim of clarifying the risk factors. After an analysis of the information materials that characterize dams and after a statistical analysis of the measurement results in situ, including measurements from technical and safety supervision databases, we performed an analysis by using mathematical modeling to evaluate the safety of the dam constructions. Out of the total number of 39 dam constructions, an analysis of the stability of the dam slopes was performed on 37 dams, and deformation problems were analyzed on 28 of the dams. Filtration problems were analyzed at 26 dams, and a complete evaluation of the intensity of filtration movements was performed on 19 of the constructions.

Developing a manual for strengthening mental health nurses' clinical supervision

DEFF Research Database (Denmark)

Buus, Niels; Cassedy, Paul; Gonge, Henrik

2013-01-01

In this article, we report findings from a study aimed at developing the content and implementation of a manual for a research-based intervention on clinical supervision of mental health nursing staff. The intervention was designed to strengthen already existing supervision practices through...... educational preparation for supervision and systematic reflection on supervision. The intervention consists of three sessions and was implemented on two groups of mental health hospital staff. We present an outline of the manual and explain how the trial sessions made us adjust the preliminary manual....... The effects of implementing the manual will subsequently be analysed in an independent randomised controlled trial....

The ViewPoint radioprotection supervision workstation; Poste de supervision radioprotection viewpoint

Energy Technology Data Exchange (ETDEWEB)

Gaultier, E. [APVL Ingenierie- 6, bd Nobel - Equatop La Rabelais - 37540 Saint Cyr sur Loire (France)

2009-07-01

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)

19 CFR 191.44 - Destruction under Customs supervision.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 2 2010-04-01 2010-04-01 false Destruction under Customs supervision. 191.44 Section 191.44 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY (CONTINUED) DRAWBACK Rejected Merchandise § 191.44 Destruction under Customs supervision. A claimant may destroy merchandise an...

19 CFR 191.37 - Destruction under Customs supervision.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 2 2010-04-01 2010-04-01 false Destruction under Customs supervision. 191.37 Section 191.37 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY (CONTINUED) DRAWBACK Unused Merchandise Drawback § 191.37 Destruction under Customs supervision. A claimant may destroy...

A Good Supervisor--Ten Facts of Caring Supervision

Science.gov (United States)

Määttä, Kaarina

2015-01-01

This article describes the elements of caring supervision of doctoral theses. The purpose was to describe the best practices as well as challenges of supervision especially from the supervisor's perspective. The analysis is based on the author's extensive experience as a supervisor and related data obtained for research and developmental purposes.…

19 CFR 191.25 - Destruction under Customs supervision.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 2 2010-04-01 2010-04-01 false Destruction under Customs supervision. 191.25 Section 191.25 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY (CONTINUED) DRAWBACK Manufacturing Drawback § 191.25 Destruction under Customs supervision. A claimant may destroy merchandise...

33 CFR 326.4 - Supervision of authorized activities.

Science.gov (United States)

2010-07-01

... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Supervision of authorized activities. 326.4 Section 326.4 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE ENFORCEMENT § 326.4 Supervision of authorized activities. (a) Inspections. District engineers will, at their discretion, take...

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.

Using an Agent-oriented Framework for Supervision, Diagnosis and Prognosis Applications in Advanced Automation Environments

DEFF Research Database (Denmark)

Thunem, Harald P-J; Thunem, Atoosa P-J; Lind, Morten

2011-01-01

This paper demonstrates how a generic agent-oriented framework can be used in advanced automation environments, for systems analysis in general and supervision, diagnosis and prognosis purposes in particular. The framework’s background and main application areas are briefly described. Next......-oriented supervision, diagnosis and prognosis purposes are equally explained. Finally, the paper sums up by also addressing plans for further enhancement and in that respect integration with other tailor-made tools for joint treatment of various modeling and analysis activities upon advanced automation environments....

QUEST : Eliminating online supervised learning for efficient classification algorithms

NARCIS (Netherlands)

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

2016-01-01

In this work, we introduce QUEST (QUantile Estimation after Supervised Training), an adaptive classification algorithm for Wireless Sensor Networks (WSNs) that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting

QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms.

Science.gov (United States)

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

2016-10-01

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

Supervised Learning for Detection of Duplicates in Genomic Sequence Databases.

Directory of Open Access Journals (Sweden)

Qingyu Chen

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

Supervised Learning for Detection of Duplicates in Genomic Sequence Databases.

Science.gov (United States)

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

2016-01-01

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

25 CFR 213.43 - Relinquishment of Government supervision.

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Relinquishment of Government supervision. 213.43 Section 213.43 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS LEASING OF RESTRICTED LANDS OF MEMBERS OF FIVE CIVILIZED TRIBES, OKLAHOMA, FOR MINING Removal of Restrictions § 213.43 Relinquishment of Government supervision....

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

Science.gov (United States)

Schoenholtz-Read, J

1996-10-01

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

Supervision of the ATLAS High Level Trigger System

CERN Document Server

Wheeler, S.; Meessen, C.; Qian, Z.; Touchard, F.; Negri, France A.; Zobernig, H.; CHEP 2003 Computing in High Energy Physics; Negri, France A.

2003-01-01

The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter. The HLT is implemented as software tasks running on large processor farms. An essential part of the HLT is the supervision system, which is responsible for configuring, coordinating, controlling and monitoring the many hundreds of processes running in the HLT. A prototype implementation of the supervision system, using tools from the ATLAS Online Software system is presented. Results from scalability tests are also presented where the supervision system was shown to be capable of controlling over 1000 HLT processes running on 230 nodes.

Improving Supervision for Students at a Distance: Videoconferencing for Group Meetings

Science.gov (United States)

Könings, Karen D.; Popa, Daniela; Gerken, Maike; Giesbers, Bas; Rienties, Bart C.; van der Vleuten, Cees P. M.; van Merriënboer, Jeroen J. G.

2016-01-01

Every year, thousands of students go abroad for part of their study programme. Supervision from the home institution is then crucial for good study progress. Providing supervision and feedback at a distance is challenging. This project aims to identify bottlenecks for supervision and hypothesises that online supervisory group meetings with…

Beginning therapists’ experiences of what constitutes good and bad psychotherapy supervision

DEFF Research Database (Denmark)

Jacobsen, Claus Haugaard; Pedersen, Lene Tanggaard

2009-01-01

events. Also included were the importance of peers in the supervision group and the organisational setting of the supervision. The objective was to give detailed descriptions in the form of condensed narratives of each student’s preferences concerning supervision. Furthermore, a cross-sectional analysis...... in the existing literature in the field. The beginning therapist prefer supervision in which advice and clear and specific instructions are given on how to do the job, where theoretical considerations are included, and the supervisor supports, affirms and structures the sessions. However, of particular interest...

Oceans apart, yet connected: Findings from a qualitative study on professional supervision in rural and remote allied health services.

Science.gov (United States)

Ducat, Wendy; Martin, Priya; Kumar, Saravana; Burge, Vanessa; Abernathy, LuJuana

2016-02-01

Improving the quality and safety of health care in Australia is imperative to ensure the right treatment is delivered to the right person at the right time. Achieving this requires appropriate clinical governance and support for health professionals, including professional supervision. This study investigates the usefulness and effectiveness of and barriers to supervision in rural and remote Queensland. As part of the evaluation of the Allied Health Rural and Remote Training and Support program, a qualitative descriptive study was conducted involving semi-structured interviews with 42 rural or remote allied health professionals, nine operational managers and four supervisors. The interviews explored perspectives on their supervision arrangements, including the perceived usefulness, effect on practice and barriers. Themes of reduced isolation; enhanced professional enthusiasm, growth and commitment to the organisation; enhanced clinical skills, knowledge and confidence; and enhanced patient safety were identified as perceived outcomes of professional supervision. Time, technology and organisational factors were identified as potential facilitators as well as potential barriers to effective supervision. This research provides current evidence on the impact of professional supervision in rural and remote Queensland. A multidimensional model of organisational factors associated with effective supervision in rural and remote settings is proposed identifying positive supervision culture and a good supervisor-supervisee fit as key factors associated with effective arrangements. © 2015 Commonwealth of Australia. Australian Journal of Rural Health published by Wiley Publishing Asia Pty Ltd. on behalf of National Rural Health Alliance Inc.

Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification

Science.gov (United States)

Iyigun, Cem; Ben-Israel, Adi

Semi-supervised clustering is an attempt to reconcile clustering (unsupervised learning) and classification (supervised learning, using prior information on the data). These two modes of data analysis are combined in a parameterized model, the parameter θ ∈ [0, 1] is the weight attributed to the prior information, θ = 0 corresponding to clustering, and θ = 1 to classification. The results (cluster centers, classification rule) depend on the parameter θ, an insensitivity to θ indicates that the prior information is in agreement with the intrinsic cluster structure, and is otherwise redundant. This explains why some data sets (such as the Wisconsin breast cancer data, Merz and Murphy, UCI repository of machine learning databases, University of California, Irvine, CA) give good results for all reasonable classification methods. The uncertainty of classification is represented here by the geometric mean of the membership probabilities, shown to be an entropic distance related to the Kullback-Leibler divergence.

Self-reflection in cognitive behavioural therapy and supervision.

Science.gov (United States)

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

2012-12-01

Supervision is a basic part of training and ongoing education in cognitive behavioural therapy. Self-reflection is an important part of supervision. The conscious understanding of one's own emotions, feelings, thoughts, and attitudes at the time of their occurrence, and the ability to continuously follow and recognize them are among the most important abilities of both therapists and supervisors. The objective of this article is to review aspects related to supervision in cognitive behavioural therapy and self-reflection in the literature. This is a narrative review. A literature review was performed using the PubMed, SciVerse Scopus, and Web of Science databases; additional references were found through bibliography reviews of relevant articles published prior to July 2011. The databases were searched for articles containing the following keywords: cognitive behavioural therapy, self-reflection, therapeutic relationship, training, supervision, transference, and countertransference. The review also includes information from monographs referred to by other reviews. We discuss conceptual aspects related to supervision and the role of self-reflection. Self-reflection in therapy is a continuous process which is essential for the establishment of a therapeutic relationship, the professional growth of the therapist, and the ongoing development of therapeutic skills. Recognizing one's own emotions is a basic skill from which other skills necessary for both therapy and emotional self-control stem. Therapists who are skilled in understanding their inner emotions during their encounters with clients are better at making decisions, distinguishing their needs from their clients' needs, understanding transference and countertransference, and considering an optimal response at any time during a session. They know how to handle their feelings so that these correspond with the situation and their response is in the client's best interest. The ability to self-reflect increases the

Is banking supervision central to central banking?

OpenAIRE

Joe Peek; Eric S. Rosengren; Geoffrey M. B. Tootell

1997-01-01

Whether central banks should play an active role in bank supervision and regulation is being debated both in the United States and abroad. While the Bank of England has recently been stripped of its supervisory responsibilities and several proposals in the United States have advocated removing bank supervision from the Federal Reserve System, other countries are considering enhancing central bank involvement in this area. Many of the arguments for and against these proposals hinge on the effe...

Optimal Preventive Bank Supervision: Combining Random Audits and Continuous Intervention

OpenAIRE

Mohamed Belhaj; Nataliya Klimenko

2012-01-01

Early regulator interventions into problem banks are one of the key suggestions of Basel II. However, no guidance is given on their design. To fill this gap, we outline an incentive-based preventive supervision strategy that eliminates bad asset management in banks. Two supervision techniques are combined: continuous regulator intervention and random audits. Random audit technologies differ as to quality and cost. Our design ensures good management without excessive supervision costs, through...

Computer supervision of the core outlet sodium temperatures of FBTR

International Nuclear Information System (INIS)

Boopathy, C.

1976-01-01

Safety monitoring of the fast breeder test reactor at Kalpakkam (India) is achieved by a CDPS-on-line dual computer system which is dedicated to plant supervision. The on-line subsystem scans and supervises all the 170 core thermocouple signals every second. Organisation of the reactor core instruments, supervision of mean sodium outlet temperature and mean temperature drop across the core, detection of plugging of a fuel assembly are explained. (A.K.)

Applying a supervised ANN (artificial neural network) approach to the prognostication of driven wheel energy efficiency indices

International Nuclear Information System (INIS)

Taghavifar, Hamid; Mardani, Aref

2014-01-01

This paper examines the prediction of energy efficiency indices of driven wheels (i.e. traction coefficient and tractive power efficiency) as affected by wheel load, slippage and forward velocity at three different levels with three replicates to form a total of 162 data points. The pertinent experiments were carried out in the soil bin testing facility. A feed-forward ANN (artificial neural network) with standard BP (back propagation) algorithm was practiced to construct a supervised representation to predict the energy efficiency indices of driven wheels. It was deduced, in view of the statistical performance criteria (i.e. MSE (mean squared error) and R 2 ), that a supervised ANN with 3-8-10-2 topology and Levenberg–Marquardt training algorithm represented the optimal model. Modeling implementations indicated that ANN is a powerful technique to prognosticate the stochastic energy efficiency indices as affected by soil-wheel interactions with MSE of 0.001194 and R 2 of 0.987 and 0.9772 for traction coefficient and tractive power efficiency. It was found that traction coefficient and tractive power efficiency increase with increased slippage. A similar trend is valid for the influence of wheel load on the objective parameters. Wherein increase of velocity led to an increment of tractive power efficiency, velocity had no significant effect on traction coefficient. - Highlights: • Energy efficiency indexes were assessed as affected by tire parameters. • ANN was applied for prognostication of the objective parameters. • A 3-8-10-2 ANN with MSE of 0.001194 and R 2 of 0.987 and 0.9772 was designated as optimal model. • Optimal values of learning rate and momentum were found 0.9 and 0.5, respectively

Etiske betragtninger ved supervision

DEFF Research Database (Denmark)

Jacobsen, Claus Haugaard; Agerskov, Kirsten

2007-01-01

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

Energy efficiency supervision strategy selection of Chinese large-scale public buildings

International Nuclear Information System (INIS)

Jin Zhenxing; Wu Yong; Li Baizhan; Gao Yafeng

2009-01-01

This paper discusses energy consumption, building development and building energy consumption in China, and points that energy efficiency management and maintenance of large-scale public buildings is the breakthrough point of building energy saving in China. Three obstacles are lack of basic statistics data, lack of service market for building energy saving, and lack of effective management measures account for the necessity of energy efficiency supervision for large-scale public buildings. And then the paper introduces the supervision aims, the supervision system and the five basic systems' role in the supervision system, and analyzes the working mechanism of the five basic systems. The energy efficiency supervision system of large-scale public buildings takes energy consumption statistics as a data basis, Energy auditing as a technical support, energy consumption ration as a benchmark of energy saving and price increase beyond ration as a price lever, and energy efficiency public-noticing as an amplifier. The supervision system promotes energy efficiency operation and maintenance of large-scale public building, and drives a comprehensive building energy saving in China.

Energy efficiency supervision strategy selection of Chinese large-scale public buildings

Energy Technology Data Exchange (ETDEWEB)

Jin, Zhenxing; Li, Baizhan; Gao, Yafeng [The Faculty of Urban Construction and Environmental Engineering, Chongqing University, Chongqing (China); Key Laboratory of the Three Gorges Reservoir Region' s Eco-Environment, Ministry of Education, Chongqing 400045 (China); Wu, Yong [The Department of Science and Technology, Ministry of Construction, Beijing 100835 (China)

2009-06-15

This paper discusses energy consumption, building development and building energy consumption in China, and points that energy efficiency management and maintenance of large-scale public buildings is the breakthrough point of building energy saving in China. Three obstacles are lack of basic statistics data, lack of service market for building energy saving, and lack of effective management measures account for the necessity of energy efficiency supervision for large-scale public buildings. And then the paper introduces the supervision aims, the supervision system and the five basic systems' role in the supervision system, and analyzes the working mechanism of the five basic systems. The energy efficiency supervision system of large-scale public buildings takes energy consumption statistics as a data basis, Energy auditing as a technical support, energy consumption ration as a benchmark of energy saving and price increase beyond ration as a price lever, and energy efficiency public-noticing as an amplifier. The supervision system promotes energy efficiency operation and maintenance of large-scale public building, and drives a comprehensive building energy saving in China. (author)

Energy efficiency supervision strategy selection of Chinese large-scale public buildings

Energy Technology Data Exchange (ETDEWEB)

Jin Zhenxing [Faculty of Urban Construction and Environmental Engineering, Chongqing University, Chongqing (China); Key Laboratory of the Three Gorges Reservoir Region' s Eco-Environment, Ministry of Education, Chongqing 400045 (China)], E-mail: jinzhenxing33@sina.com; Wu Yong [Department of Science and Technology, Ministry of Construction, Beijing 100835 (China); Li Baizhan; Gao Yafeng [Faculty of Urban Construction and Environmental Engineering, Chongqing University, Chongqing (China); Key Laboratory of the Three Gorges Reservoir Region' s Eco-Environment, Ministry of Education, Chongqing 400045 (China)

2009-06-15

This paper discusses energy consumption, building development and building energy consumption in China, and points that energy efficiency management and maintenance of large-scale public buildings is the breakthrough point of building energy saving in China. Three obstacles are lack of basic statistics data, lack of service market for building energy saving, and lack of effective management measures account for the necessity of energy efficiency supervision for large-scale public buildings. And then the paper introduces the supervision aims, the supervision system and the five basic systems' role in the supervision system, and analyzes the working mechanism of the five basic systems. The energy efficiency supervision system of large-scale public buildings takes energy consumption statistics as a data basis, Energy auditing as a technical support, energy consumption ration as a benchmark of energy saving and price increase beyond ration as a price lever, and energy efficiency public-noticing as an amplifier. The supervision system promotes energy efficiency operation and maintenance of large-scale public building, and drives a comprehensive building energy saving in China.

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

Science.gov (United States)

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

2015-04-01

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

A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification.

Science.gov (United States)

Peikari, Mohammad; Salama, Sherine; Nofech-Mozes, Sharon; Martel, Anne L

2018-05-08

Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points with the help of a large number of unlabeled data points. In this paper, we investigated the possibility of using clustering analysis to identify the underlying structure of the data space for SSL. A cluster-then-label method was proposed to identify high-density regions in the data space which were then used to help a supervised SVM in finding the decision boundary. We have compared our method with other supervised and semi-supervised state-of-the-art techniques using two different classification tasks applied to breast pathology datasets. We found that compared with other state-of-the-art supervised and semi-supervised methods, our SSL method is able to improve classification performance when a limited number of labeled data instances are made available. We also showed that it is important to examine the underlying distribution of the data space before applying SSL techniques to ensure semi-supervised learning assumptions are not violated by the data.

Semi-supervised clustering methods.

Science.gov (United States)

Bair, Eric

2013-01-01

Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set. In many situations, however, information about the clusters is available in addition to the values of the features. For example, the cluster labels of some observations may be known, or certain observations may be known to belong to the same cluster. In other cases, one may wish to identify clusters that are associated with a particular outcome variable. This review describes several clustering algorithms (known as "semi-supervised clustering" methods) that can be applied in these situations. The majority of these methods are modifications of the popular k-means clustering method, and several of them will be described in detail. A brief description of some other semi-supervised clustering algorithms is also provided.

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

Science.gov (United States)

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

2018-06-01

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

Supervision of execution of dismantling; Supervision de ejecucion de desmantelamiento

Energy Technology Data Exchange (ETDEWEB)

Canizares, J.

2015-07-01

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)

Attending Physician Remote Access of the Electronic Health Record and Implications for Resident Supervision: A Mixed Methods Study.

Science.gov (United States)

Martin, Shannon K; Tulla, Kiara; Meltzer, David O; Arora, Vineet M; Farnan, Jeanne M

2017-12-01

Advances in information technology have increased remote access to the electronic health record (EHR). Concurrently, standards defining appropriate resident supervision have evolved. How often and under what circumstances inpatient attending physicians remotely access the EHR for resident supervision is unknown. We described a model of attending remote EHR use for resident supervision, and quantified the frequency and magnitude of use. Using a mixed methods approach, general medicine inpatient attendings were surveyed and interviewed about their remote EHR use. Frequency of use and supervisory actions were quantitatively examined via survey. Transcripts from semistructured interviews were analyzed using grounded theory to identify codes and themes. A total of 83% (59 of 71) of attendings participated. Fifty-seven (97%) reported using the EHR remotely, with 54 (92%) reporting they discovered new clinical information not relayed by residents via remote EHR use. A majority (93%, 55 of 59) reported that this resulted in management changes, and 54% (32 of 59) reported making immediate changes by contacting cross-covering teams. Six major factors around remote EHR use emerged: resident, clinical, educational, personal, technical, and administrative. Attendings described resident and clinical factors as facilitating "backstage" supervision via remote EHR use. In our study to assess attending remote EHR use for resident supervision, attendings reported frequent remote use with resulting supervisory actions, describing a previously uncharacterized form of "backstage" oversight supervision. Future work should explore best practices in remote EHR use to provide effective supervision and ultimately improve patient safety.

Evaluation of professional supervision in Aotearoa/New Zealand: An interprofessional study.

Science.gov (United States)

Davys, Allyson Mary; O'Connell, Michael; May, Janet; Burns, Beverley

2017-06-01

The evaluation of professional supervision has been a focus for discussion in the supervision literature over past decades. A review of the literature in this area, however, suggests that evaluation has been differently defined, variously addressed, and a range of outcomes reported. The present study reports the findings of the first stage of a three-stage study of evaluation in professional supervision in Aotearoa/New Zealand. Experienced practitioners from the four professions of counselling, mental health nursing, psychology, and social work were interviewed to explore how evaluation in professional supervision is understood and actioned in practice. Twenty four semistructured interviews were conducted with supervisees, supervisors, and managers from each of the identified professions. The findings from these interviews indicate that a majority of participants applied some form of evaluation to their supervision arrangement. These evaluations, however, did not reflect an overarching organizational or professional culture of formal evaluation, but rather, an individualized ad-hoc process initiated by one or both of the participants (supervisor and supervisee). These evaluations focussed predominantly on the process, rather than the outcomes, of supervision. While many respondents expressed interest in a formal process for evaluating supervision, a number of concerns were also raised. These concerns included a lack of evaluation skills and resource, the potential for formal evaluation to have a negative impact on the supervision relationship, the importance of maintaining the boundaries of confidentiality, and a wariness regarding the possible use of any information gathered. © 2016 Australian College of Mental Health Nurses Inc.