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Sample records for supervised sequence labelling

  1. Supervised Sequence Labelling with Recurrent Neural Networks

    CERN Document Server

    Graves, Alex

    2012-01-01

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

  2. Semi-Supervised Learning for Classification of Protein Sequence Data

    Directory of Open Access Journals (Sweden)

    Brian R. King

    2008-01-01

    Full Text Available Protein sequence data continue to become available at an exponential rate. Annotation of functional and structural attributes of these data lags far behind, with only a small fraction of the data understood and labeled by experimental methods. Classification methods that are based on semi-supervised learning can increase the overall accuracy of classifying partly labeled data in many domains, but very few methods exist that have shown their effect on protein sequence classification. We show how proven methods from text classification can be applied to protein sequence data, as we consider both existing and novel extensions to the basic methods, and demonstrate restrictions and differences that must be considered. We demonstrate comparative results against the transductive support vector machine, and show superior results on the most difficult classification problems. Our results show that large repositories of unlabeled protein sequence data can indeed be used to improve predictive performance, particularly in situations where there are fewer labeled protein sequences available, and/or the data are highly unbalanced in nature.

  3. Mining Class-Correlated Patterns for Sequence Labeling

    Science.gov (United States)

    Hopf, Thomas; Kramer, Stefan

    Sequence labeling is the task of assigning a label sequence to an observation sequence. Since many methods to solve this problem depend on the specification of predictive features, automated methods for their derivation are desirable. Unlike in other areas of pattern-based classification, however, no algorithm to directly mine class-correlated patterns for sequence labeling has been proposed so far. We introduce the novel task of mining class-correlated sequence patterns for sequence labeling and present a supervised pattern growth algorithm to find all patterns in a set of observation sequences, which correlate with the assignment of a fixed sequence label no less than a user-specified minimum correlation constraint. From the resulting set of patterns, features for a variety of classifiers can be obtained in a straightforward manner. The efficiency of the approach and the influence of important parameters are shown in experiments on several biological datasets.

  4. MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING

    Data.gov (United States)

    National Aeronautics and Space Administration — MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract....

  5. Supervised exercise therapy versus usual care for patellofemoral pain syndrome : an open label randomised controlled trial

    NARCIS (Netherlands)

    van Linschoten, R.; van Middelkoop, M.; Berger, M. Y.; Heintjes, E. M.; Verhaar, J. A. N.; Willemsen, S. P.; Koes, B. W.; Bierma-Zeinstra, S. M.

    2009-01-01

    Objective To assess the effectiveness of supervised exercise therapy compared with usual care with respect to recovery, pain, and function in patients with patellofemoral pain syndrome. Design Open label randomised controlled trial. Setting General practice and sport physician practice. Participants

  6. Supervised exercise therapy versus usual care for patellofemoral pain syndrome : an open label randomised controlled trial

    NARCIS (Netherlands)

    van Linschoten, R.; van Middelkoop, M.; Berger, M. Y.; Heintjes, E. M.; Verhaar, J. A. N.; Willemsen, S. P.; Koes, B. W.; Bierma-Zeinstra, S. M.

    2009-01-01

    Objective To assess the effectiveness of supervised exercise therapy compared with usual care with respect to recovery, pain, and function in patients with patellofemoral pain syndrome. Design Open label randomised controlled trial. Setting General practice and sport physician practice. Participants

  7. Binning sequences using very sparse labels within a metagenome

    Directory of Open Access Journals (Sweden)

    Halgamuge Saman K

    2008-04-01

    Full Text Available Abstract Background In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the current methods of binning, such as BLAST, k-mer and PhyloPythia, involve assigning sequence fragments by comparing sequence similarity or sequence composition with already-sequenced genomes that are still far from comprehensive. We propose a semi-supervised seeding method for binning that does not depend on knowledge of completed genomes. Instead, it extracts the flanking sequences of highly conserved 16S rRNA from the metagenome and uses them as seeds (labels to assign other reads based on their compositional similarity. Results The proposed seeding method is implemented on an unsupervised Growing Self-Organising Map (GSOM, and called Seeded GSOM (S-GSOM. We compared it with four well-known semi-supervised learning methods in a preliminary test, separating random-length prokaryotic sequence fragments sampled from the NCBI genome database. We identified the flanking sequences of the highly conserved 16S rRNA as suitable seeds that could be used to group the sequence fragments according to their species. S-GSOM showed superior performance compared to the semi-supervised methods tested. Additionally, S-GSOM may also be used to visually identify some species that do not have seeds. The proposed method was then applied to simulated metagenomic datasets using two different confidence threshold settings and compared with PhyloPythia, k-mer and BLAST. At the reference taxonomic level Order, S-GSOM outperformed all k-mer and BLAST results and showed comparable results with PhyloPythia for each of the corresponding confidence settings, where S-GSOM performed better than PhyloPythia in the ≥ 10 reads datasets and comparable in the ≥ 8 kb benchmark tests. Conclusion In the task of binning using semi-supervised learning methods, results indicate S-GSOM to be the best of

  8. 9 CFR 317.1 - Labels required; supervision by Program employee.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Labels required; supervision by Program employee. 317.1 Section 317.1 Animals and Animal Products FOOD SAFETY AND INSPECTION SERVICE... information except company brand names, trade marks, or code numbers which do not include any...

  9. Supervised exercise therapy versus usual care for patellofemoral pain syndrome: an open label randomised controlled trial.

    NARCIS (Netherlands)

    R. van Linschoten (Robbart); M. van Middelkoop (Marienke); M.Y. Berger (Marjolein); E.M. Heintjes (Edith); J.A.N. Verhaar (Jan); S.P. Willemsen (Sten); B.W. Koes (Bart); S.M. Bierma-Zeinstra (Sita)

    2009-01-01

    textabstractOBJECTIVE: To assess the effectiveness of supervised exercise therapy compared with usual care with respect to recovery, pain, and function in patients with patellofemoral pain syndrome. DESIGN: Open label randomised controlled trial. SETTING: General practice and sport physician practic

  10. On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding

    DEFF Research Database (Denmark)

    Bespalov, Dmitriy; Dahl, Anders Lindbjerg; Bai, Bing

    2011-01-01

    Concept-based representation —combined with some classifier (e.g., support vector machine) or regression analysis (e.g., linear regression)—induces a popular approach among image processing community, used to infer image labels. We propose a supervised learning procedure to obtain an embedding...... to a latent concept space with the pre-defined inner product. This learning procedure uses rank minimization of the sought inner product matrix, defined in the original concept space, to find an embedding to a new low dimensional space. The empirical evidence show that the proposed supervised learning method...

  11. Automated labeling of cancer textures in larynx histopathology slides using quasi-supervised learning.

    Science.gov (United States)

    Onder, Devrim; Sarioglu, Sulen; Karacali, Bilge

    2014-12-01

    To evaluate the performance of a quasi-supervised statistical learning algorithm, operating on datasets having normal and neoplastic tissues, to identify larynx squamous cell carcinomas. Furthermore, cancer texture separability measures against normal tissues are to be developed and compared either for colorectal or larynx tissues. Light microscopic digital images from histopathological sections were obtained from laryngectomy materials including squamous cell carcinoma and nonneoplastic regions. The texture features were calculated by using co-occurrence matrices and local histograms. The texture features were input to the quasi-supervised learning algorithm. Larynx regions containing squamous cell carcinomas were accurately identified, having false and true positive rates up to 21% and 87%, respectively. Larynx squamous cell carcinoma versus normal tissue texture separability measures were higher than colorectal adenocarcinoma versus normal textures for the colorectal database. Furthermore, the resultant labeling performances for all larynx datasets are higher than or equal to that of colorectal datasets. The results in larynx datasets, in comparison with the former colorectal study, suggested that quasi-supervised texture classification is to be a helpful method in histopathological image classification and analysis.

  12. Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.

    Science.gov (United States)

    Han, Chao; Chen, Jian; Wu, Qingyao; Mu, Shuai; Min, Huaqing

    2015-10-01

    Automated assignment of protein function has received considerable attention in recent years for genome-wide study. With the rapid accumulation of genome sequencing data produced by high-throughput experimental techniques, the process of manually predicting functional properties of proteins has become increasingly cumbersome. Such large genomics data sets can only be annotated computationally. However, automated assignment of functions to unknown protein is challenging due to its inherent difficulty and complexity. Previous studies have revealed that solving problems involving complicated objects with multiple semantic meanings using the multi-instance multi-label (MIML) framework is effective. For the protein function prediction problems, each protein object in nature may associate with distinct structural units (instances) and multiple functional properties (class labels) where each unit is described by an instance and each functional property is considered as a class label. Thus, it is convenient and natural to tackle the protein function prediction problem by using the MIML framework. In this paper, we propose a sparse Markov chain-based semi-supervised MIML method, called Sparse-Markov. A sparse transductive probability graph is constructed to encode the affinity information of the data based on ensemble of Hausdorff distance metrics. Our goal is to exploit the affinity between protein objects in the sparse transductive probability graph to seek a sparse steady state probability of the Markov chain model to do protein function prediction, such that two proteins are given similar functional labels if they are close to each other in terms of an ensemble Hausdorff distance in the graph. Experimental results on seven real-world organism data sets covering three biological domains show that our proposed Sparse-Markov method is able to achieve better performance than four state-of-the-art MIML learning algorithms.

  13. Supervised learning of short and high-dimensional temporal sequences for life science measurements

    CERN Document Server

    Schleif, F -M; Hammer, B

    2011-01-01

    The analysis of physiological processes over time are often given by spectrometric or gene expression profiles over time with only few time points but a large number of measured variables. The analysis of such temporal sequences is challenging and only few methods have been proposed. The information can be encoded time independent, by means of classical expression differences for a single time point or in expression profiles over time. Available methods are limited to unsupervised and semi-supervised settings. The predictive variables can be identified only by means of wrapper or post-processing techniques. This is complicated due to the small number of samples for such studies. Here, we present a supervised learning approach, termed Supervised Topographic Mapping Through Time (SGTM-TT). It learns a supervised mapping of the temporal sequences onto a low dimensional grid. We utilize a hidden markov model (HMM) to account for the time domain and relevance learning to identify the relevant feature dimensions mo...

  14. Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors.

    Science.gov (United States)

    Khoshgoftaar, Taghi M; Van Hulse, Jason; Napolitano, Amri

    2010-05-01

    Neural network algorithms such as multilayer perceptrons (MLPs) and radial basis function networks (RBFNets) have been used to construct learners which exhibit strong predictive performance. Two data related issues that can have a detrimental impact on supervised learning initiatives are class imbalance and labeling errors (or class noise). Imbalanced data can make it more difficult for the neural network learning algorithms to distinguish between examples of the various classes, and class noise can lead to the formulation of incorrect hypotheses. Both class imbalance and labeling errors are pervasive problems encountered in a wide variety of application domains. Many studies have been performed to investigate these problems in isolation, but few have focused on their combined effects. This study presents a comprehensive empirical investigation using neural network algorithms to learn from imbalanced data with labeling errors. In particular, the first component of our study investigates the impact of class noise and class imbalance on two common neural network learning algorithms, while the second component considers the ability of data sampling (which is commonly used to address the issue of class imbalance) to improve their performances. Our results, for which over two million models were trained and evaluated, show that conclusions drawn using the more commonly studied C4.5 classifier may not apply when using neural networks.

  15. Long-range barcode labeling-sequencing

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Feng; Zhang, Tao; Singh, Kanwar K.; Pennacchio, Len A.; Froula, Jeff L.; Eng, Kevin S.

    2016-10-18

    Methods for sequencing single large DNA molecules by clonal multiple displacement amplification using barcoded primers. Sequences are binned based on barcode sequences and sequenced using a microdroplet-based method for sequencing large polynucleotide templates to enable assembly of haplotype-resolved complex genomes and metagenomes.

  16. Elephant: Sequence Labeling for Word and Sentence Segmentation

    NARCIS (Netherlands)

    Evang, Kilian; Basile, Valerio; Chrupala, Grzegorz; Bos, Johan

    2013-01-01

    Tokenization is widely regarded as a solved problem due to the high accuracy that rule-based tokenizers achieve. But rule-based tokenizers are hard to maintain and their rules language specific. We show that high-accuracy word and sentence segmentation can be achieved by using supervised sequence la

  17. Semi-supervised analysis of human brain tumours from partially labeled MRS information, using manifold learning models.

    Science.gov (United States)

    Cruz-Barbosa, Raúl; Vellido, Alfredo

    2011-02-01

    Medical diagnosis can often be understood as a classification problem. In oncology, this typically involves differentiating between tumour types and grades, or some type of discrete outcome prediction. From the viewpoint of computer-based medical decision support, this classification requires the availability of accurate diagnoses of past cases as training target examples. The availability of such labeled databases is scarce in most areas of oncology, and especially so in neuro-oncology. In such context, semi-supervised learning oriented towards classification can be a sensible data modeling choice. In this study, semi-supervised variants of Generative Topographic Mapping, a model of the manifold learning family, are applied to two neuro-oncology problems: the diagnostic discrimination between different brain tumour pathologies, and the prediction of outcomes for a specific type of aggressive brain tumours. Their performance compared favorably with those of the alternative Laplacian Eigenmaps and Semi-Supervised SVM for Manifold Learning models in most of the experiments.

  18. A multi-label, semi-supervised classification approach applied to personality prediction in social media.

    Science.gov (United States)

    Lima, Ana Carolina E S; de Castro, Leandro Nunes

    2014-10-01

    Social media allow web users to create and share content pertaining to different subjects, exposing their activities, opinions, feelings and thoughts. In this context, online social media has attracted the interest of data scientists seeking to understand behaviours and trends, whilst collecting statistics for social sites. One potential application for these data is personality prediction, which aims to understand a user's behaviour within social media. Traditional personality prediction relies on users' profiles, their status updates, the messages they post, etc. Here, a personality prediction system for social media data is introduced that differs from most approaches in the literature, in that it works with groups of texts, instead of single texts, and does not take users' profiles into account. Also, the proposed approach extracts meta-attributes from texts and does not work directly with the content of the messages. The set of possible personality traits is taken from the Big Five model and allows the problem to be characterised as a multi-label classification task. The problem is then transformed into a set of five binary classification problems and solved by means of a semi-supervised learning approach, due to the difficulty in annotating the massive amounts of data generated in social media. In our implementation, the proposed system was trained with three well-known machine-learning algorithms, namely a Naïve Bayes classifier, a Support Vector Machine, and a Multilayer Perceptron neural network. The system was applied to predict the personality of Tweets taken from three datasets available in the literature, and resulted in an approximately 83% accurate prediction, with some of the personality traits presenting better individual classification rates than others.

  19. Managing complex processing of medical image sequences by program supervision techniques

    Science.gov (United States)

    Crubezy, Monica; Aubry, Florent; Moisan, Sabine; Chameroy, Virginie; Thonnat, Monique; Di Paola, Robert

    1997-05-01

    Our objective is to offer clinicians wider access to evolving medical image processing (MIP) techniques, crucial to improve assessment and quantification of physiological processes, but difficult to handle for non-specialists in MIP. Based on artificial intelligence techniques, our approach consists in the development of a knowledge-based program supervision system, automating the management of MIP libraries. It comprises a library of programs, a knowledge base capturing the expertise about programs and data and a supervision engine. It selects, organizes and executes the appropriate MIP programs given a goal to achieve and a data set, with dynamic feedback based on the results obtained. It also advises users in the development of new procedures chaining MIP programs.. We have experimented the approach for an application of factor analysis of medical image sequences as a means of predicting the response of osteosarcoma to chemotherapy, with both MRI and NM dynamic image sequences. As a result our program supervision system frees clinical end-users from performing tasks outside their competence, permitting them to concentrate on clinical issues. Therefore our approach enables a better exploitation of possibilities offered by MIP and higher quality results, both in terms of robustness and reliability.

  20. Non-Supervised Learning for Spread Spectrum Signal Pseudo-Noise Sequence Acquisition

    Institute of Scientific and Technical Information of China (English)

    Hao Cheng; Na Yu,; Tai-Jun Wang

    2015-01-01

    Abstract¾An idea of estimating the direct sequence spread spectrum (DSSS) signal pseudo-noise (PN) sequence is presented. Without the apriority knowledge about the DSSS signal in the non-cooperation condition, we propose a self-organizing feature map (SOFM) neural network algorithm to detect and identify the PN sequence. A non-supervised learning algorithm is proposed according the Kohonen rule in SOFM. The blind algorithm can also estimate the PN sequence in a low signal-to-noise (SNR) and computer simulation demonstrates that the algorithm is effective. Compared with the traditional correlation algorithm based on slip-correlation, the proposed algorithm’s bit error rate (BER) and complexity are lower.

  1. Label-Free DNA Sequencing Using Millikan Detection

    OpenAIRE

    Dettloff, Roger; Leiske, Danielle; Chow, Andrea; Farinas, Javier

    2015-01-01

    A label-free method for DNA sequencing based on the principle of the Millikan oil drop experiment was developed. This sequencing-by-synthesis approach sensed increases in bead charge as nucleotides were added by a polymerase to DNA templates attached to beads. The balance between an electrical force, which was dependent on the number of nucleotide charges on a bead, and opposing hydrodynamic drag and restoring tether forces resulted in a bead velocity that was a function of the number of nucl...

  2. Label-free DNA sequencing using Millikan detection.

    Science.gov (United States)

    Dettloff, Roger; Leiske, Danielle; Chow, Andrea; Farinas, Javier

    2015-10-15

    A label-free method for DNA sequencing based on the principle of the Millikan oil drop experiment was developed. This sequencing-by-synthesis approach sensed increases in bead charge as nucleotides were added by a polymerase to DNA templates attached to beads. The balance between an electrical force, which was dependent on the number of nucleotide charges on a bead, and opposing hydrodynamic drag and restoring tether forces resulted in a bead velocity that was a function of the number of nucleotides attached to the bead. The velocity of beads tethered via a polymer to a microfluidic channel and subjected to an oscillating electric field was measured using dark-field microscopy and used to determine how many nucleotides were incorporated during each sequencing-by-synthesis cycle. Increases in bead velocity of approximately 1% were reliably detected during DNA polymerization, allowing for sequencing of short DNA templates. The method could lead to a low-cost, high-throughput sequencing platform that could enable routine sequencing in medical applications.

  3. Partially supervised P300 speller adaptation for eventual stimulus timing optimization: target confidence is superior to error-related potential score as an uncertain label

    Science.gov (United States)

    Zeyl, Timothy; Yin, Erwei; Keightley, Michelle; Chau, Tom

    2016-04-01

    Objective. Error-related potentials (ErrPs) have the potential to guide classifier adaptation in BCI spellers, for addressing non-stationary performance as well as for online optimization of system parameters, by providing imperfect or partial labels. However, the usefulness of ErrP-based labels for BCI adaptation has not been established in comparison to other partially supervised methods. Our objective is to make this comparison by retraining a two-step P300 speller on a subset of confident online trials using naïve labels taken from speller output, where confidence is determined either by (i) ErrP scores, (ii) posterior target scores derived from the P300 potential, or (iii) a hybrid of these scores. We further wish to evaluate the ability of partially supervised adaptation and retraining methods to adjust to a new stimulus-onset asynchrony (SOA), a necessary step towards online SOA optimization. Approach. Eleven consenting able-bodied adults attended three online spelling sessions on separate days with feedback in which SOAs were set at 160 ms (sessions 1 and 2) and 80 ms (session 3). A post hoc offline analysis and a simulated online analysis were performed on sessions two and three to compare multiple adaptation methods. Area under the curve (AUC) and symbols spelled per minute (SPM) were the primary outcome measures. Main results. Retraining using supervised labels confirmed improvements of 0.9 percentage points (session 2, p confidence measure resulted in the highest SPM of the partially supervised methods, indicating that ErrPs are not necessary to boost the performance of partially supervised adaptive classification. Partial supervision significantly improved SPM at a novel SOA, showing promise for eventual online SOA optimization.

  4. Supervised multivariate analysis of sequence groups to identify specificity determining residues

    Directory of Open Access Journals (Sweden)

    Higgins Desmond G

    2007-04-01

    Full Text Available Abstract Background Proteins that evolve from a common ancestor can change functionality over time, and it is important to be able identify residues that cause this change. In this paper we show how a supervised multivariate statistical method, Between Group Analysis (BGA, can be used to identify these residues from families of proteins with different substrate specifities using multiple sequence alignments. Results We demonstrate the usefulness of this method on three different test cases. Two of these test cases, the Lactate/Malate dehydrogenase family and Nucleotidyl Cyclases, consist of two functional groups. The other family, Serine Proteases consists of three groups. BGA was used to analyse and visualise these three families using two different encoding schemes for the amino acids. Conclusion This overall combination of methods in this paper is powerful and flexible while being computationally very fast and simple. BGA is especially useful because it can be used to analyse any number of functional classes. In the examples we used in this paper, we have only used 2 or 3 classes for demonstration purposes but any number can be used and visualised.

  5. Unsupervised Labeling Of Data For Supervised Learning And Its Application To Medical Claims Prediction

    Directory of Open Access Journals (Sweden)

    Che Ngufor

    2013-01-01

    Full Text Available The task identifying changes and irregularities in medical insurance claim pay-ments is a difficult process of which the traditional practice involves queryinghistorical claims databases and flagging potential claims as normal or abnor-mal. Because what is considered as normal payment is usually unknown andmay change over time, abnormal payments often pass undetected; only to bediscovered when the payment period has passed.This paper presents the problem of on-line unsupervised learning from datastreams when the distribution that generates the data changes or drifts overtime. Automated algorithms for detecting drifting concepts in a probabilitydistribution of the data are presented. The idea behind the presented driftdetection methods is to transform the distribution of the data within a slidingwindow into a more convenient distribution. Then, a test statistics p-value ata given significance level can be used to infer the drift rate, adjust the windowsize and decide on the status of the drift. The detected concepts drifts areused to label the data, for subsequent learning of classification models by asupervised learner. The algorithms were tested on several synthetic and realmedical claims data sets.

  6. Sequence-Dependent Fluorescence of Cy3- and Cy5-Labeled Double-Stranded DNA.

    Science.gov (United States)

    Kretschy, Nicole; Sack, Matej; Somoza, Mark M

    2016-03-16

    The fluorescent intensity of Cy3 and Cy5 dyes is strongly dependent on the nucleobase sequence of the labeled oligonucleotides. Sequence-dependent fluorescence may significantly influence the data obtained from many common experimental methods based on fluorescence detection of nucleic acids, such as sequencing, PCR, FRET, and FISH. To quantify sequence dependent fluorescence, we have measured the fluorescence intensity of Cy3 and Cy5 bound to the 5' end of all 1024 possible double-stranded DNA 5mers. The fluorescence intensity was also determined for these dyes bound to the 5' end of fixed-sequence double-stranded DNA with a variable sequence 3' overhang adjacent to the dye. The labeled DNA oligonucleotides were made using light-directed, in situ microarray synthesis. The results indicate that the fluorescence intensity of both dyes is sensitive to all five bases or base pairs, that the sequence dependence is stronger for double- (vs single-) stranded DNA, and that the dyes are sensitive to both the adjacent dsDNA sequence and the 3'-ssDNA overhang. Purine-rich sequences result in higher fluorescence. The results can be used to estimate measurement error in experiments with fluorescent-labeled DNA, as well as to optimize the fluorescent signal by considering the nucleobase environment of the labeling cyanine dye.

  7. 2'-Alkynylnucleotides: A Sequence- and Spin Label-Flexible Strategy for EPR Spectroscopy in DNA.

    Science.gov (United States)

    Haugland, Marius M; El-Sagheer, Afaf H; Porter, Rachel J; Peña, Javier; Brown, Tom; Anderson, Edward A; Lovett, Janet E

    2016-07-27

    Electron paramagnetic resonance (EPR) spectroscopy is a powerful method to elucidate molecular structure through the measurement of distances between conformationally well-defined spin labels. Here we report a sequence-flexible approach to the synthesis of double spin-labeled DNA duplexes, where 2'-alkynylnucleosides are incorporated at terminal and internal positions on complementary strands. Post-DNA synthesis copper-catalyzed azide-alkyne cycloaddition (CuAAC) reactions with a variety of spin labels enable the use of double electron-electron resonance experiments to measure a number of distances on the duplex, affording a high level of detailed structural information.

  8. [Supervision of foods containing components of genetically modified organisms and the problems of labeling this type of products].

    Science.gov (United States)

    Onishchenko, G G

    2010-01-01

    Commercial production of genetically modified (GM) crops as food or feed is regarded as a promising social area in the development of modern biotechnology. The Russian Federation has set up a governmental system to regulate the use of biotechnology products, which is based on Russian and foreign experience and the most up-to-date scientific approaches. The system for evaluating the quality and safety of GM foodstuffs envisages the postregistration monitoring of their circulation as an obligatory stage. For these purposes, the world community applies two methods: enzyme immunoassay and polymerase chain reaction. It should be noted that there are various approaches to GM food labeling in the world; this raises the question of whether the labeling of foods that are prepared from genetically modified organisms, but contain no protein or DNA is to be introduced in Russia, as in the European Union.

  9. Kollegial supervision

    DEFF Research Database (Denmark)

    Andersen, Ole Dibbern; Petersson, Erling

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

  10. A novel all-optical label processing based on multiple optical orthogonal codes sequences for optical packet switching networks

    Science.gov (United States)

    Zhang, Chongfu; Qiu, Kun; Xu, Bo; Ling, Yun

    2008-05-01

    This paper proposes an all-optical label processing scheme that uses the multiple optical orthogonal codes sequences (MOOCS)-based optical label for optical packet switching (OPS) (MOOCS-OPS) networks. In this scheme, each MOOCS is a permutation or combination of the multiple optical orthogonal codes (MOOC) selected from the multiple-groups optical orthogonal codes (MGOOC). Following a comparison of different optical label processing (OLP) schemes, the principles of MOOCS-OPS network are given and analyzed. Firstly, theoretical analyses are used to prove that MOOCS is able to greatly enlarge the number of available optical labels when compared to the previous single optical orthogonal code (SOOC) for OPS (SOOC-OPS) network. Then, the key units of the MOOCS-based optical label packets, including optical packet generation, optical label erasing, optical label extraction and optical label rewriting etc., are given and studied. These results are used to verify that the proposed MOOCS-OPS scheme is feasible.

  11. Improved semi-supervised online boosting for object tracking

    Science.gov (United States)

    Li, Yicui; Qi, Lin; Tan, Shukun

    2016-10-01

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

  12. Study on multiple-hops performance of MOOC sequences-based optical labels for OPS networks

    Science.gov (United States)

    Zhang, Chongfu; Qiu, Kun; Ma, Chunli

    2009-11-01

    In this paper, we utilize a new study method that is under independent case of multiple optical orthogonal codes to derive the probability function of MOOCS-OPS networks, discuss the performance characteristics for a variety of parameters, and compare some characteristics of the system employed by single optical orthogonal code or multiple optical orthogonal codes sequences-based optical labels. The performance of the system is also calculated, and our results verify that the method is effective. Additionally it is found that performance of MOOCS-OPS networks would, negatively, be worsened, compared with single optical orthogonal code-based optical label for optical packet switching (SOOC-OPS); however, MOOCS-OPS networks can greatly enlarge the scalability of optical packet switching networks.

  13. In vivo MR detection of fluorine-labeled human MSC using the bSSFP sequence

    Directory of Open Access Journals (Sweden)

    Ribot EJ

    2014-04-01

    Full Text Available Emeline J Ribot,1 Jeffrey M Gaudet,1,2 Yuhua Chen,1 Kyle M Gilbert,1 Paula J Foster1,2 1Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada; 2Department of Medical Biophysics, University of Western Ontario, London, ON, Canada Abstract: Mesenchymal stem cells (MSC are used to restore deteriorated cell environments. There is a need to specifically track these cells following transplantation in order to evaluate different methods of implantation, to follow their migration within the body, and to quantify their accumulation at the target. Cellular magnetic resonance imaging (MRI using fluorine-based nanoemulsions is a great means to detect these transplanted cells in vivo because of the high specificity for fluorine detection and the capability for precise quantification. This technique, however, has low sensitivity, necessitating improvement in MR sequences. To counteract this issue, the balanced steady-state free precession (bSSFP imaging sequence can be of great interest due to the high signal-to-noise ratio (SNR. Furthermore, it can be applied to obtain 3D images within short acquisition times. In this paper, bSSFP provided accurate quantification of samples of the perfluorocarbon Cell Sense-labeled cells in vitro. Cell Sense was internalized by human MSC (hMSC without adverse alterations in cell viability or differentiation into adipocytes/osteocytes. The bSSFP sequence was applied in vivo to track and quantify the signals from both Cell Sense-labeled and iron-labeled hMSC after intramuscular implantation. The fluorine signal was observed to decrease faster and more significantly than the volume of iron-associated voids, which points to the advantage of quantifying the fluorine signal and the complexity of quantifying signal loss due to iron. Keywords: bSSFP, fluorine MRI, mesenchymal stem cell, mouse, cell tracking

  14. A novel all-optical label processing for OPS networks based on multiple OOC sequences from multiple-groups OOC

    Science.gov (United States)

    Qiu, Kun; Zhang, Chongfu; Ling, Yun; Wang, Yibo

    2007-11-01

    This paper proposes an all-optical label processing scheme using multiple optical orthogonal codes sequences (MOOCS) for optical packet switching (OPS) (MOOCS-OPS) networks, for the first time to the best of our knowledge. In this scheme, the multiple optical orthogonal codes (MOOC) from multiple-groups optical orthogonal codes (MGOOC) are permuted and combined to obtain the MOOCS for the optical labels, which are used to effectively enlarge the capacity of available optical codes for optical labels. The optical label processing (OLP) schemes are reviewed and analyzed, the principles of MOOCS-based optical labels for OPS networks are given, and analyzed, then the MOOCS-OPS topology and the key realization units of the MOOCS-based optical label packets are studied in detail, respectively. The performances of this novel all-optical label processing technology are analyzed, the corresponding simulation is performed. These analysis and results show that the proposed scheme can overcome the lack of available optical orthogonal codes (OOC)-based optical labels due to the limited number of single OOC for optical label with the short code length, and indicate that the MOOCS-OPS scheme is feasible.

  15. Experimental demonstration of tunable multiple optical orthogonal codes sequences-based optical label for optical packets switching

    Science.gov (United States)

    Zhang, Chongfu; Qiu, Kun; Zhou, Heng; Ling, Yun; Wang, Yawei; Xu, Bo

    2010-03-01

    In this paper, the tunable multiple optical orthogonal codes sequences (MOOCS)-based optical label for optical packet switching (OPS) (MOOCS-OPS) is experimentally demonstrated for the first time. The tunable MOOCS-based optical label is performed by using fiber Bragg grating (FBG)-based optical en/decoders group and optical switches configured by using Field Programmable Gate Array (FPGA), and the optical label is erased by using Semiconductor Optical Amplifier (SOA). Some waveforms of the MOOCS-based optical label, optical packet including the MOOCS-based optical label and the payloads are obtained, the switching control mechanism and the switching matrix are discussed, the bit error rate (BER) performance of this system is also studied. These experimental results show that the tunable MOOCS-OPS scheme is effective.

  16. Assessment of the labelling accuracy of spanish semipreserved anchovies products by FINS (forensically informative nucleotide sequencing).

    Science.gov (United States)

    Velasco, Amaya; Aldrey, Anxela; Pérez-Martín, Ricardo I; Sotelo, Carmen G

    2016-06-01

    Anchovies have been traditionally captured and processed for human consumption for millennia. In the case of Spain, ripened and salted anchovies are a delicacy, which, in some cases, can reach high commercial values. Although there have been a number of studies presenting DNA methodologies for the identification of anchovies, this is one of the first studies investigating the level of mislabelling in this kind of products in Europe. Sixty-three commercial semipreserved anchovy products were collected in different types of food markets in four Spanish cities to check labelling accuracy. Species determination in these commercial products was performed by sequencing two different cyt-b mitochondrial DNA fragments. Results revealed mislabelling levels higher than 15%, what authors consider relatively high considering the importance of the product. The most frequent substitute species was the Argentine anchovy, Engraulis anchoita, which can be interpreted as an economic fraud.

  17. Electrochemical direct immobilization of DNA sequences for label-free herpes virus detection

    Science.gov (United States)

    Tam, Phuong Dinh; Trung, Tran; Tuan, Mai Anh; Chien, Nguyen Duc

    2009-09-01

    DNA sequences/bio-macromolecules of herpes virus (5'-AT CAC CGA CCC GGA GAG GGA C-3') were directly immobilized into polypyrrole matrix by using the cyclic voltammetry method, and grafted onto arrays of interdigitated platinum microelectrodes. The morphology surface of the obtained PPy/DNA of herpes virus composite films was investigated by a FESEM Hitachi-S 4800. Fourier transform infrared spectroscopy (FTIR) was used to characterize the PPy/DNA film and to study the specific interactions that may exist between DNA biomacromolecules and PPy chains. Attempts are made to use these PPy/DNA composite films for label-free herpes virus detection revealed a response time of 60 s in solutions containing as low as 2 nM DNA concentration, and self life of six months when immerged in double distilled water and kept refrigerated.

  18. 9 CFR 355.31 - Supervision by inspector.

    Science.gov (United States)

    2010-01-01

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

  19. Clinical supervision.

    Science.gov (United States)

    Goorapah, D

    1997-05-01

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

  20. 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.

  1. [A method for determining DNA sequence by labeling the end of the molecule and cleaving at the base. Isolation of DNA fragments, end-labeling, cleavage, electrophoresis in polyacrylamide gel and analysis of results].

    Science.gov (United States)

    Maxam, A M; Gilbert, W

    1986-01-01

    We elaborate basic chemical principles and current laboratory procedures for sequencing end-labeled DNA by partial cleavage and gel electrophoresis (A. M. Maxam and W. Gilbert, Proc. Natl. Acad. Sci. USA, 1977, v. 74, p. 560-564). We provide step-by-step protocols for 32P-labeling DNA ends, segregating the labeled ends by cutting with a second restriction enzyme or separating strands, partially cleaving the DNA at specific bases with reagents, electrophoresing the labeled products of cleavage on sequencing gels, and interpreting sequencing band patterns. Many of these procedures have been condensed, to make them faster and easier, and some are new. We also discuss sequencing strategies, and suggest a technique which will reduce plasmid or viral DNA to a collection of singly-end-labeled fragments in one day, for efficient sequencing of these chromosomes in 250-nucleotide blocks.

  2. 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.

  3. 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.

  4. Stable isotope N-phosphorylation labeling for Peptide de novo sequencing and protein quantification based on organic phosphorus chemistry.

    Science.gov (United States)

    Gao, Xiang; Wu, Hanzhi; Lee, Kim-Chung; Liu, Hongxia; Zhao, Yufen; Cai, Zongwei; Jiang, Yuyang

    2012-12-04

    In this paper, we describe the development of a novel stable isotope N-phosphorylation labeling (SIPL) strategy for peptide de novo sequencing and protein quantification based on organic phosphorus chemistry. The labeling reaction could be performed easily and completed within 40 min in a one-pot reaction without additional cleanup procedures. It was found that N-phosphorylation labeling reagents were activated in situ to form labeling intermediates with high reactivity targeting on N-terminus and ε-amino groups of lysine under mild reaction conditions. The introduction of N-terminal-labeled phosphoryl group not only improved the ionization efficiency of peptides and increased the protein sequence coverage for peptide mass fingerprints but also greatly enhanced the intensities of b ions, suppressed the internal fragments, and reduced the complexity of the tandem mass spectrometry (MS/MS) fragmentation patterns of peptides. By using nano liquid chromatography chip/time-of-flight mass spectrometry (nano LC-chip/TOF MS) for the protein quantification, the obtained results showed excellent correlation of the measured ratios to theoretical ratios with relative errors ranging from 0.5% to 6.7% and relative standard deviation of less than 10.6%, indicating that the developed method was reproducible and precise. The isotope effect was negligible because of the deuterium atoms were placed adjacent to the neutral phosphoryl group with high electrophilicity and moderately small size. Moreover, the SIPL approach used inexpensive reagents and was amenable to samples from various sources, including cell culture, biological fluids, and tissues. The method development based on organic phosphorus chemistry offered a new approach for quantitative proteomics by using novel stable isotope labeling reagents.

  5. Performance analysis of multiple optical orthogonal codes sequences-based optical labels for optical packet switching networks

    Science.gov (United States)

    Zhang, Chongfu; Ma, Chunli; Wang, Zhengsuan; Qiu, Kun

    2011-09-01

    Multiple optical orthogonal codes sequences (MOOCS)-based optical labels for optical packet switching (MOOCS-OPS) were proposed and studied in our previous works. In order to evaluate the performances of the MOOCS-OPS networks resulting from interference of the MOOCS-based optical labels, we utilize a new study method that applies the independent case of multiple optical orthogonal codes to derive the probability function of the MOOCS-OPS networks for the first time. Additionally, the optical label processing time, the utilization efficiency, and the packet loss rate in the MOOCS-OPS networks are also considered. We discuss the performance and efficiency characteristics with a variety of parameters, and compare some characteristics of the system employed by a single optical orthogonal code or MOOCS-based optical labels. The performances of the system are also calculated, and our results verify that the method and the networks are effective. Moreover, it is found that performances of the MOOCS-OPS networks would, negatively, be worsened, compared with the single optical orthogonal code-based optical label for optical packet switching; however, the MOOCS-OPS networks can greatly enlarge the scalability of the optical packet switching networks.

  6. A Semi-supervised Kernel Learning Method Based on Label Propagation%一种基于标签传播的半监督核学习算法

    Institute of Scientific and Technical Information of China (English)

    袁优; 张钢

    2013-01-01

    A good kernel function can improve the performance of machine learning models. However,it is not easy to properly determine a kernel since it is closely related to application background and relies on domain knowledge and experience. Kernel learning is a machine learning method which seeks an optimal kernel function with a given training data set. It often seeks an optimal weighted combination of a pre-defined set of base kernel functions. Considering the cost of acquiring labeled training samples,we propose a semi-supervised kernel learning method based on label propagation,which makes use of labeled and unlabeled samples simutaneously to perform kernel learning,and applies label propagation method,a popular method in semi-supervised learning,combined with harmonic function to obtain a unified distribution of the whole data set. The proposed metod is evaluated on the UCI benchmark data set and the results show its effectiveness.%一个好的核函数能提升机器学习模型的有效性,但核函数的选择并不容易,其与问题背景密切相关,且依赖于领域知识和经验。核学习是一种通过训练数据集寻找最优核函数的机器学习方法,能通过有监督学习的方式寻找到一组基核函数的最优加权组合。考虑到训练数据集获取标签的代价,提出一种基于标签传播的半监督核学习方法,该方法能够同时利用有标签数据和无标签数据进行核学习,通过半监督学习中被广泛使用的标签传播方法结合和谐函数获得数据集统一的标签分布。在UCI数据集上对提出的算法进行性能评估,结果表明该方法是有效的。

  7. 9 CFR 590.418 - Supervision of marking and packaging.

    Science.gov (United States)

    2010-01-01

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

  8. 9 CFR 592.340 - Supervision of marking and packaging.

    Science.gov (United States)

    2010-01-01

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

  9. Protocols for 16S rDNA Array Analyses of Microbial Communities by Sequence-Specific Labeling of DNA Probes

    Directory of Open Access Journals (Sweden)

    Knut Rudi

    2003-01-01

    Full Text Available Analyses of complex microbial communities are becoming increasingly important. Bottlenecks in these analyses, however, are the tools to actually describe the biodiversity. Novel protocols for DNA array-based analyses of microbial communities are presented. In these protocols, the specificity obtained by sequence-specific labeling of DNA probes is combined with the possibility of detecting several different probes simultaneously by DNA array hybridization. The gene encoding 16S ribosomal RNA was chosen as the target in these analyses. This gene contains both universally conserved regions and regions with relatively high variability. The universally conserved regions are used for PCR amplification primers, while the variable regions are used for the specific probes. Protocols are presented for DNA purification, probe construction, probe labeling, and DNA array hybridizations.

  10. A Label Correcting Algorithm for Partial Disassembly Sequences in the Production Planning for End-of-Life Products

    Directory of Open Access Journals (Sweden)

    Pei-Fang (Jennifer Tsai

    2012-01-01

    Full Text Available Remanufacturing of used products has become a strategic issue for cost-sensitive businesses. Due to the nature of uncertain supply of end-of-life (EoL products, the reverse logistic can only be sustainable with a dynamic production planning for disassembly process. This research investigates the sequencing of disassembly operations as a single-period partial disassembly optimization (SPPDO problem to minimize total disassembly cost. AND/OR graph representation is used to include all disassembly sequences of a returned product. A label correcting algorithm is proposed to find an optimal partial disassembly plan if a specific reusable subpart is retrieved from the original return. Then, a heuristic procedure that utilizes this polynomial-time algorithm is presented to solve the SPPDO problem. Numerical examples are used to demonstrate the effectiveness of this solution procedure.

  11. Clinical evaluation of an arterial-spin-labeling product sequence in steno-occlusive disease of the brain.

    Directory of Open Access Journals (Sweden)

    Matthias A Mutke

    Full Text Available INTRODUCTION: In brain perfusion imaging, arterial spin labeling (ASL is a noninvasive alternative to dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI. For clinical imaging, only product sequences can be used. We therefore analyzed the performance of a product sequence (PICORE-PASL included in an MRI software-package compared with DSC-MRI in patients with steno-occlusion of the MCA or ICA >70%. METHODS: Images were acquired on a 3T MRI system and qualitatively analyzed by 3 raters. For a quantitative analysis, cortical ROIs were placed in co-registered ASL and DSC images. Pooled data for ASL-cerebral blood flow (CBF and DSC-CBF were analyzed by Spearman's correlation and the Bland-Altman (BA-plot. RESULTS: In 28 patients, 11 ASL studies were uninterpretable due to patient motion. Of the remaining patients, 71% showed signs of delayed tracer arrival. A weak correlation for DSC-relCBF vs ASL-relCBF (r = 0.24 and a large spread of values in the BA-plot owing to unreliable CBF-measurement was found. CONCLUSION: The PICORE ASL product sequence is sensitive for estimation of delayed tracer arrival, but cannot be recommended to measure CBF in steno-occlusive disease. ASL-sequences that are less sensitive to patient motion and correcting for delayed blood flow should be available in the clinical setting.

  12. Semi-supervised clustering using soft-constraint affinity propagation

    CERN Document Server

    Leone, Michele; Weigt, Martin

    2007-01-01

    Semi-supervised clustering aims at dividing partially labeled data into groups, assigning labels to previously unlabeled points. It uses both the geometrical organization of the data set and the available labels assigned to few points, giving additional information compared to unsupervised clustering methods. In this letter, we present a novel, computationally efficient and statistically robust semi-supervised clustering algorithm based on soft-constraint affinity propagation. The method is successfully tested on artificial and biological benchmark data.

  13. On Online Labeling with Polynomially Many Labels

    DEFF Research Database (Denmark)

    Babka, Martin; Bulánek, Jan; Cunat, Vladimír

    2012-01-01

    In the online labeling problem with parameters n and m we are presented with a sequence of nkeys from a totally ordered universe U and must assign each arriving key a label from the label set {1,2,…,m} so that the order of labels (strictly) respects the ordering on U. As new keys arrive it may be...

  14. Sequence-specific electrochemical recognition of multiple species using nanoparticle labels

    Energy Technology Data Exchange (ETDEWEB)

    Cai Hong [Department of Chemical Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong (China); Shang, Chii [Department of Civil Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong (China); Hsing, I.-Ming [Department of Chemical Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong (China)]. E-mail: kehsing@ust.hk

    2004-10-04

    In this work, we report an electrochemical methodology that enables the rapid identification of different DNA sequences on the microfabricated electrodes. Our approach starts with an electropolymerization process on a patterned indium tin oxide (ITO)-coated glass electrode, followed by a selective immobilization of biotin-tagged probes on individually addressable spots via the biotin-streptavidin linkage. An exemplary target mixture containing E. coli and Stachybotrys Chartarum, an airborne pathogen, is then introduced. Recognition of the DNA hybridization event of the immobilized probes with the target pathogen PCR products or synthetic oligonucleotides is achieved by a novel electrochemistry-based technique utilizing the preferential catalytic silver electrodeposition process on the DNA-linked nanogold shells. The ability to selectively immobilize different oligonucleotide probes together with a sensitive electrochemistry-based detection for multiple species, as demonstrated in this study, is an important step forward for the realization of a portable bioanalytical microdevice for the rapid detection of pathogens.

  15. Semi-supervised Learning with Deep Generative Models

    NARCIS (Netherlands)

    Kingma, D.P.; Rezende, D.J.; Mohamed, S.; Welling, M.

    2014-01-01

    The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. We revisit the approach to semi-supervised learning with generative models and

  16. Projected estimators for robust semi-supervised classification

    DEFF Research Database (Denmark)

    Krijthe, Jesse H.; Loog, Marco

    2017-01-01

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

  17. Multi-Instance Learning from Supervised View

    Institute of Scientific and Technical Information of China (English)

    Zhi-Hua Zhou

    2006-01-01

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

  18. Supervision as Metaphor

    Science.gov (United States)

    Lee, Alison; Green, Bill

    2009-01-01

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

  19. 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…

  20. Rapid 'de novo' peptide sequencing by a combination of nanoelectrospray, isotopic labeling and a quadrupole/time-of-flight mass spectrometer.

    Science.gov (United States)

    Shevchenko, A; Chernushevich, I; Ens, W; Standing, K G; Thomson, B; Wilm, M; Mann, M

    1997-01-01

    Protein microanalysis usually involves the sequencing of gel-separated proteins available in very small amounts. While mass spectrometry has become the method of choice for identifying proteins in databases, in almost all laboratories 'de novo' protein sequencing is still performed by Edman degradation. Here we show that a combination of the nanoelectrospray ion source, isotopic end labeling of peptides and a quadrupole/ time-of-flight instrument allows facile read-out of the sequences of tryptic peptides. Isotopic labeling was performed by enzymatic digestion of proteins in 1:1 16O/18O water, eliminating the need for peptide derivatization. A quadrupole/time-of-flight mass spectrometer was constructed from a triple quadrupole and an electrospray time-of-flight instrument. Tandem mass spectra of peptides were obtained with better than 50 ppm mass accuracy and resolution routinely in excess of 5000. Unique and error tolerant identification of yeast proteins as well as the sequencing of a novel protein illustrate the potential of the approach. The high data quality in tandem mass spectra and the additional information provided by the isotopic end labeling of peptides enabled automated interpretation of the spectra via simple software algorithms. The technique demonstrated here removes one of the last obstacles to routine and high throughput protein sequencing by mass spectrometry.

  1. 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...

  2. Designs and Discriminations for Clinical Group Supervision in Counselling Psychology: An Analysis

    Science.gov (United States)

    Grigg, Glen

    2006-01-01

    Evidence suggests that group clinical supervision of counsellors and trainees is an effective mode of service delivery. However, clinical supervision is often understood to be concerned with teaching a generic set of skills. Without specifically labeling them as such, clinical supervision groups are implicitly identified as psycho-educational…

  3. 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.

  4. Antithrombotic properties of rafigrelide: a phase 1, open-label, non-randomised, single-sequence, crossover study.

    Science.gov (United States)

    Balasubramaniam, K; Viswanathan, G; Dragone, J; Grose-Hodge, R; Martin, P; Troy, S; Preston, P; Zaman, A G

    2014-07-03

    Platelets play a central role in atherothrombotic events. We investigated the effect of a novel platelet-lowering agent, rafigrelide, on thrombus formation and characteristics. In this phase 1, open-label, non-randomised, single-sequence, crossover study, healthy male volunteers received rafigrelide for 14 days (Period 1). Following a ≥6-week washout period, they then received rafigrelide + acetylsalicylic acid (ASA) for 14 days (Period 2). Thrombus formation was assessed ex vivo using the Badimon perfusion chamber, and thrombus characteristics were assessed using thromboelastography. A total of 15 volunteers were enrolled in the study and were assigned to Panel A or Panel B, which had different schedules of assessments. In Panel A, after treatment with rafigrelide alone (Period 1), mean (± standard deviation) platelet count was reduced from 283 (± 17) × 10⁹/l at Day 1, to 125 (± 47) × 10⁹/l at Day 14 (n=6) and thrombus area reduced under high and low shear conditions. Reductions in thrombus area under high shear conditions correlated with reductions in platelet count (r²=0.11, p=0.022; n=12). Rafigrelide treatment prolonged clot formation time and reduced clot strength. The addition of ASA to rafigrelide (Period 2) had no additional effect on platelet count or thrombus area under high or low shear conditions. Similar results were seen in Panel B for all parameters. The most common adverse events (≥3 participants per period) were thrombocytopenia and headache. While confirming the platelet-lowering effects of rafigrelide, this early phase study also indicates that rafigrelide has antithrombotic properties under both high and low shear conditions.

  5. Pharmacokinetic interaction between maraviroc and fosamprenavir-ritonavir: an open-label, fixed-sequence study in healthy subjects.

    Science.gov (United States)

    Vourvahis, Manoli; Plotka, Anna; Mendes da Costa, Laure; Fang, Annie; Heera, Jayvant

    2013-12-01

    This open-label, fixed-sequence, phase 1 study evaluated the pharmacokinetic interaction between maraviroc (MVC) and ritonavir-boosted fosamprenavir (FPV/r) in healthy subjects. In period 1, subjects received 300 mg of MVC twice daily (BID; cohort 1) or once daily (QD; cohort 2) for 5 days. In period 2, cohort 1 subjects received 700/100 mg of FPV/r BID alone on days 1 to 10 and then FPV/r at 700/100 mg BID plus MVC at 300 mg BID on days 11 to 20; cohort 2 subjects received FPV/r at 1,400/100 mg QD alone on days 1 to 10 and then FPV/r at 1,400/100 mg QD plus MVC at 300 mg QD on days 11 to 20. Pharmacokinetic parameters, assessed on day 5 of period 1 and on days 10 and 20 of period 2, included the maximum plasma concentration (Cmax), the concentration at end of dosing interval (Cτ), and the area under the curve over dosing interval (AUCτ). Safety and tolerability were also assessed. MVC geometric mean AUCτ, Cmax, and Cτ were increased by 149, 52, and 374%, respectively, after BID dosing with FPV/r, and by 126, 45, and 80%, respectively, after QD dosing. Amprenavir (the active form of the prodrug fosamprenavir) and ritonavir exposures were decreased in the presence of MVC with amprenavir AUCτ, Cmax, and Cτ decreased by 34 to 36% in the presence of FPV/r plus maraviroc BID and by 15 to 30% with FPV/r plus MVC QD both compared to FPV/r alone. The overall all-causality adverse-event (AE) incidence rate was 96.4%; all AEs were of mild or moderate severity. Commonly reported treatment-related AEs (>20% of patients overall) included diarrhea, fatigue, abdominal discomfort, headache, and nausea. No serious AEs or deaths occurred. In summary, maraviroc exposure increased in the presence of FPV/r, whereas MVC coadministration decreased amprenavir and ritonavir exposures. MVC dosed at 300 mg BID with FPV/r is not recommended due to concerns of lower amprenavir exposures; however, no dose adjustment is warranted with MVC at 150 mg BID in combination with FPV/r based on

  6. Towards Multi Label Text Classification through Label Propagation

    Directory of Open Access Journals (Sweden)

    Shweta C. Dharmadhikari

    2012-06-01

    Full Text Available Classifying text data has been an active area of research for a long time. Text document is multifaceted object and often inherently ambiguous by nature. Multi-label learning deals with such ambiguous object. Classification of such ambiguous text objects often makes task of classifier difficult while assigning relevant classes to input document. Traditional single label and multi class text classification paradigms cannot efficiently classify such multifaceted text corpus. Through our paper we are proposing a novel label propagation approach based on semi supervised learning for Multi Label Text Classification. Our proposed approach models the relationship between class labels and also effectively represents input text documents. We are using semi supervised learning technique for effective utilization of labeled and unlabeled data for classification. Our proposed approach promises better classification accuracy and handling of complexity and elaborated on the basis of standard datasets such as Enron, Slashdot and Bibtex.

  7. Networks of Professional Supervision

    Science.gov (United States)

    Annan, Jean; Ryba, Ken

    2013-01-01

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

  8. 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...

  9. Experiments in Virtual Supervision.

    Science.gov (United States)

    Walker, Rob

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

  10. Bias Modeling for Distantly Supervised Relation Extraction

    Directory of Open Access Journals (Sweden)

    Yang Xiang

    2015-01-01

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

  11. 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....

  12. Bias Modeling for Distantly Supervised Relation Extraction

    OpenAIRE

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

    2015-01-01

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

  13. Graph-based semi-supervised learning

    CERN Document Server

    Subramanya, Amarnag

    2014-01-01

    While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many applications in speech processing, computer visi

  14. Supervised Discrete Hashing With Relaxation.

    Science.gov (United States)

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

    2016-12-29

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

  15. Semi-supervised clustering methods

    Science.gov (United States)

    Bair, Eric

    2013-01-01

    Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set. In many situations, however, information about the clusters is available in addition to the values of the features. For example, the cluster labels of some observations may be known, or certain observations may be known to belong to the same cluster. In other cases, one may wish to identify clusters that are associated with a particular outcome variable. This review describes several clustering algorithms (known as “semi-supervised clustering” methods) that can be applied in these situations. The majority of these methods are modifications of the popular k-means clustering method, and several of them will be described in detail. A brief description of some other semi-supervised clustering algorithms is also provided. PMID:24729830

  16. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

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

  17. 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...

  18. 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....

  19. Supervision and group dynamics

    DEFF Research Database (Denmark)

    Hansen, Søren; Jensen, Lars Peter

    2004-01-01

    as well as at Aalborg University. The first visible result has been participating supervisors telling us that the course has inspired them to try supervising group dynamics in the future. This paper will explore some aspects of supervising group dynamics as well as, how to develop the Aalborg model...... An important aspect of the problem based and project organized study at Aalborg University is the supervision of the project groups. At the basic education (first year) it is stated in the curriculum that part of the supervisors' job is to deal with group dynamics. This is due to the experience...... that many students are having difficulties with practical issues such as collaboration, communication, and project management. Most supervisors either ignore this demand, because they do not find it important or they find it frustrating, because they do not know, how to supervise group dynamics...

  20. Document Classification Using Expectation Maximization with Semi Supervised Learning

    CERN Document Server

    Nigam, Bhawna; Salve, Sonal; Vamney, Swati

    2011-01-01

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

  1. 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.

  2. Two Approaches to Clinical Supervision.

    Science.gov (United States)

    Anderson, Eugene M.

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

  3. Counselor Supervision: A Consumer's Guide.

    Science.gov (United States)

    Yager, Geoffrey G.; Littrell, John M.

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

  4. Label-free detection of specific DNA sequence-telomere using unmodified gold nanoparticles as colorimetric probes

    Science.gov (United States)

    Qi, Yingying; Li, Li; Li, Baoxin

    2009-09-01

    A simple and sensitive label-free colorimetric detection of telomere DNA has been developed. It was based on the color change of gold nanoparticles (AuNPs) due to DNA hybridization. UV-vis spectra and transmission electron microscopy (TEM) were used to investigate the change of AuNPs. Under the optimized conditions, the linear range for determination of telomere DNA was 5.7 × 10 -13 to 4.5 × 10 -6 mol/L. The detection limit (3 σ) of this method has decreased to pico-molar level.

  5. Resistance to group clinical supervision

    DEFF Research Database (Denmark)

    Buus, Niels; Delgado, Cynthia; Traynor, Michael

    2017-01-01

    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...

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

    Science.gov (United States)

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

    2016-01-01

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

  7. Semantic Role Labeling

    CERN Document Server

    Palmer, Martha; Xue, Nianwen

    2011-01-01

    This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applyin

  8. All-Words Word Sense Disambiguation Based on Sequence Labeling%基于序列标注的全词消歧方法

    Institute of Scientific and Technical Information of China (English)

    周云; 王挺; 易绵竹; 张禄彭; 王之元

    2012-01-01

    全词消歧(All-Words Word Sense Disambiguation)可以看作一个序列标注问题,该文提出了两种基于序列标注的全词消歧方法,它们分别基于隐马尔可夫模型(Hidden Markov Model,HMM)和最大熵马尔可夫模型(Maximum Entropy Markov Model,MEMM).首先,我们用HMM对全词消歧进行建模.然后,针对HMM只能利用词形观察值的缺点,我们将上述HMM模型推广为MEMM模型,将大量上下文特征集成到模型中.对于全词消歧这类超大状态问题,在HMM和MEMM模型中均存在数据稀疏和时间复杂度过高的问题,我们通过柱状搜索Viterbi算法和平滑策略来解决.最后,我们在Senseval-2和Senseval-3的数据集上进行了评测,该文提出的MEMM方法的F1值为0.654,超过了该评测上所有的基于序列标注的方法.%All-Words Word Sense Disambiguation (WSD) can be regarded as a sequence labeling problem, and two All-Words WSD methods based on sequence labeling are proposed in this paper, which are based on Hidden Markov Model (HMM) and Maximum Entropy Markov Model (MEMM), respectively. First, we model All-Words WSD using HMM. Since HMM can only exploit lexical observation, we generalize HMM to MEMM by incorporating a large number of non-independent features. For All-Words WSD which is a typical extra-large state problem, the data sparsity and high time complexity seriously hinder the application of HMM and MEMM models. We solve these problems by beam-search Viterbi algorithm and smoothing strategy. Finally, we test our methods on the dataset of All-Words WSD tasks in Senseval-2 and Senseval-3, and achieving a 0. 654 Fl value forthe MEMM method which outperforms other methods based on sequence labeling.

  9. Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario

    CERN Document Server

    Yan, Yan; Fung, Glenn; Dy, Jennifer

    2012-01-01

    Learning algorithms normally assume that there is at most one annotation or label per data point. However, in some scenarios, such as medical diagnosis and on-line collaboration,multiple annotations may be available. In either case, obtaining labels for data points can be expensive and time-consuming (in some circumstances ground-truth may not exist). Semi-supervised learning approaches have shown that utilizing the unlabeled data is often beneficial in these cases. This paper presents a probabilistic semi-supervised model and algorithm that allows for learning from both unlabeled and labeled data in the presence of multiple annotators. We assume that it is known what annotator labeled which data points. The proposed approach produces annotator models that allow us to provide (1) estimates of the true label and (2) annotator variable expertise for both labeled and unlabeled data. We provide numerical comparisons under various scenarios and with respect to standard semi-supervised learning. Experiments showed ...

  10. Collective academic supervision

    DEFF Research Database (Denmark)

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

    2013-01-01

    are interconnected. Collective Academic Supervision provides possibilities for systematic interaction between individual master students in their writing process. In this process they learn core academic competencies, such as the ability to assess theoretical and practical problems in their practice and present them...

  11. Reflecting reflection in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    Reflection has moved from the margins to the mainstream in supervision. Notions of reflection have become well established since the late 1980s. These notions have provided useful framing devices to help conceptualize some important processes in guidance and counseling. However, some applications...

  12. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2011-01-01

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

  13. Kontraktetablering i supervision

    DEFF Research Database (Denmark)

    Mortensen, Karen Vibeke; Jacobsen, Claus Haugaard

    2007-01-01

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

  14. 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...

  15. [3H]Azidodantrolene photoaffinity labeling, synthetic domain peptides and monoclonal antibody reactivity identify the dantrolene binding sequence on RyR1

    Energy Technology Data Exchange (ETDEWEB)

    Paul-Pletzer, Kalanethee; Yamamoto, Takeshi; Bhat, Manju B.; Ma, Jianjie; Ikemoto, Noriaki; Jimenez, Leslie S.; Morimoto, Hiromi; Williams, Philip G.; Parness, Jerome

    2002-06-14

    Dantrolene is a drug that suppresses intracellular Ca2+ release from sarcoplasmic reticulum in normal skeletal muscle and is used as a therapeutic agent in individuals susceptible to malignant hyperthermia. Though its precise mechanism of action has not been elucidated, we have identified the N-terminal region (amino acids 1-1400) of the skeletal muscle isoform of the ryanodine receptor (RyR1), the primary Ca2+ release channel in sarcoplasmic reticulum, as a molecular target for dantrolene using the photoaffinity analog [3H]azidodantrolene(1). Here, we demonstrate that heterologously expressed RyR1 retains its capacity to be specifically labeled with [3H]azidodantrolene,indicating that muscle specific factors are not required for this ligand-receptor interaction. Synthetic domain peptides of RyR1, previously shown to affect RyR1 function in vitro and in vivo, were exploited as potential drug binding site mimics and used in photoaffinity labeling experiments. Only DP1 and DP1-2, peptide s containing the amino acid sequence corresponding to RyR1 residues 590-609, were specifically labeled by [3H]azidodantrolene. A monoclonal anti-RyR1 antibody which recognizes RyR1 and its 1400 amino acid N-terminal fragment, recognizes DP1 and DP1-2 in both Western blots and immunoprecipitation assays, and specifically inhibits [3H]azidodantrolene photolabeling of RyR1 and its N-terminal fragment in sarcoplasmic reticulum. Our results indicate that synthetic domain peptides can mimic a native, ligand binding conformation in vitro, and that the dantrolene binding site and the epitope for the monoclonal antibody on RyR1 are equivalent and composed of amino-acids 590-609.

  16. A Sensitive and Selective Label-Free Electrochemical DNA Biosensor for the Detection of Specific Dengue Virus Serotype 3 Sequences

    Directory of Open Access Journals (Sweden)

    Natália Oliveira

    2015-07-01

    Full Text Available Dengue fever is the most prevalent vector-borne disease in the world, with nearly 100 million people infected every year. Early diagnosis and identification of the pathogen are crucial steps for the treatment and for prevention of the disease, mainly in areas where the co-circulation of different serotypes is common, increasing the outcome of dengue hemorrhagic fever (DHF and dengue shock syndrome (DSS. Due to the lack of fast and inexpensive methods available for the identification of dengue serotypes, herein we report the development of an electrochemical DNA biosensor for the detection of sequences of dengue virus serotype 3 (DENV-3. DENV-3 probe was designed using bioinformatics software and differential pulse voltammetry (DPV was used for electrochemical analysis. The results showed that a 22-m sequence was the best DNA probe for the identification of DENV-3. The optimum concentration of the DNA probe immobilized onto the electrode surface is 500 nM and a low detection limit of the system (3.09 nM. Moreover, this system allows selective detection of DENV-3 sequences in buffer and human serum solutions. Therefore, the application of DNA biosensors for diagnostics at the molecular level may contribute to future advances in the implementation of specific, effective and rapid detection methods for the diagnosis dengue viruses.

  17. A Sensitive and Selective Label-Free Electrochemical DNA Biosensor for the Detection of Specific Dengue Virus Serotype 3 Sequences.

    Science.gov (United States)

    Oliveira, Natália; Souza, Elaine; Ferreira, Danielly; Zanforlin, Deborah; Bezerra, Wessulla; Borba, Maria Amélia; Arruda, Mariana; Lopes, Kennya; Nascimento, Gustavo; Martins, Danyelly; Cordeiro, Marli; Lima-Filho, José

    2015-07-01

    Dengue fever is the most prevalent vector-borne disease in the world, with nearly 100 million people infected every year. Early diagnosis and identification of the pathogen are crucial steps for the treatment and for prevention of the disease, mainly in areas where the co-circulation of different serotypes is common, increasing the outcome of dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). Due to the lack of fast and inexpensive methods available for the identification of dengue serotypes, herein we report the development of an electrochemical DNA biosensor for the detection of sequences of dengue virus serotype 3 (DENV-3). DENV-3 probe was designed using bioinformatics software and differential pulse voltammetry (DPV) was used for electrochemical analysis. The results showed that a 22-m sequence was the best DNA probe for the identification of DENV-3. The optimum concentration of the DNA probe immobilized onto the electrode surface is 500 nM and a low detection limit of the system (3.09 nM). Moreover, this system allows selective detection of DENV-3 sequences in buffer and human serum solutions. Therefore, the application of DNA biosensors for diagnostics at the molecular level may contribute to future advances in the implementation of specific, effective and rapid detection methods for the diagnosis dengue viruses.

  18. An AdaBoost algorithm for multiclass semi-supervised learning

    NARCIS (Netherlands)

    Tanha, J.; van Someren, M.; Afsarmanesh, H.; Zaki, M.J.; Siebes, A.; Yu, J.X.; Goethals, B.; Webb, G.; Wu, X.

    2012-01-01

    We present an algorithm for multiclass Semi-Supervised learning which is learning from a limited amount of labeled data and plenty of unlabeled data. Existing semi-supervised algorithms use approaches such as one-versus-all to convert the multiclass problem to several binary classification problems

  19. TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification

    OpenAIRE

    Bresson, Xavier; Zhang, Ruiliang

    2012-01-01

    We introduce semi-supervised data classification algorithms based on total variation (TV), Reproducing Kernel Hilbert Space (RKHS), support vector machine (SVM), Cheeger cut, labeled and unlabeled data points. We design binary and multi-class semi-supervised classification algorithms. We compare the TV-based classification algorithms with the related Laplacian-based algorithms, and show that TV classification perform significantly better when the number of labeled data is small.

  20. Social networks in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

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

  1. Electrochemical detection of magnetically-entrapped DNA sequences from complex samples by multiplexed enzymatic labelling: Application to a transgenic food/feed quantitative survey.

    Science.gov (United States)

    Manzanares-Palenzuela, C L; Martín-Clemente, J P; Lobo-Castañón, M J; López-Ruiz, B

    2017-03-01

    Monitoring of genetically modified organisms in food and feed demands molecular techniques that deliver accurate quantitative results. Electrochemical DNA detection has been widely described in this field, yet most reports convey qualitative data and application in processed food and feed samples is limited. Herein, the applicability of an electrochemical multiplex assay for DNA quantification in complex samples is assessed. The method consists of the simultaneous magnetic entrapment via sandwich hybridisation of two DNA sequences (event-specific and taxon-specific) onto the surface of magnetic microparticles, followed by bienzymatic labelling. As proof-of-concept, we report its application in a transgenic food/feed survey where relative quantification (two-target approach) of Roundup Ready Soybean® (RRS) was performed in food and feed. Quantitative coupling to end-point PCR was performed and calibration was achieved from 22 and 243 DNA copies spanning two orders of magnitude for the event and taxon-specific sequences, respectively. We collected a total of 33 soybean-containing samples acquired in local supermarkets, four out of which were found to contain undeclared presence of genetically modified soybean. A real-time PCR method was used to verify these findings. High correlation was found between results, indicating the suitability of the proposed multiplex method for food and feed monitoring.

  2. 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.

  3. Label-Free Electrochemical Detection of the Specific Oligonucleotide Sequence of Dengue Virus Type 1 on Pencil Graphite Electrodes

    Science.gov (United States)

    Souza, Elaine; Nascimento, Gustavo; Santana, Nataly; Ferreira, Danielly; Lima, Manoel; Natividade, Edna; Martins, Danyelly; Lima-Filho, José

    2011-01-01

    A biosensor that relies on the adsorption immobilization of the 18-mer single-stranded nucleic acid related to dengue virus gene 1 on activated pencil graphite was developed. Hybridization between the probe and its complementary oligonucleotides (the target) was investigated by monitoring guanine oxidation by differential pulse voltammetry (DPV). The pencil graphite electrode was made of ordinary pencil lead (type 4B). The polished surface of the working electrode was activated by applying a potential of 1.8 V for 5 min. Afterward, the dengue oligonucleotides probe was immobilized on the activated electrode by applying 0.5 V to the electrode in 0.5 M acetate buffer (pH 5.0) for 5 min. The hybridization process was carried out by incubating at the annealing temperature of the oligonucleotides. A time of five minutes and concentration of 1 μM were found to be the optimal conditions for probe immobilization. The electrochemical detection of annealing between the DNA probe (TS-1P) immobilized on the modified electrode, and the target (TS-1T) was achieved. The target could be quantified in a range from 1 to 40 nM with good linearity and a detection limit of 0.92 nM. The specificity of the electrochemical biosensor was tested using non-complementary sequences of dengue virus 2 and 3. PMID:22163916

  4. Multi-Modal Curriculum Learning for Semi-Supervised Image Classification.

    Science.gov (United States)

    Gong, Chen; Tao, Dacheng; Maybank, Stephen J; Liu, Wei; Kang, Guoliang; Yang, Jie

    2016-07-01

    Semi-supervised image classification aims to classify a large quantity of unlabeled images by typically harnessing scarce labeled images. Existing semi-supervised methods often suffer from inadequate classification accuracy when encountering difficult yet critical images, such as outliers, because they treat all unlabeled images equally and conduct classifications in an imperfectly ordered sequence. In this paper, we employ the curriculum learning methodology by investigating the difficulty of classifying every unlabeled image. The reliability and the discriminability of these unlabeled images are particularly investigated for evaluating their difficulty. As a result, an optimized image sequence is generated during the iterative propagations, and the unlabeled images are logically classified from simple to difficult. Furthermore, since images are usually characterized by multiple visual feature descriptors, we associate each kind of features with a teacher, and design a multi-modal curriculum learning (MMCL) strategy to integrate the information from different feature modalities. In each propagation, each teacher analyzes the difficulties of the currently unlabeled images from its own modality viewpoint. A consensus is subsequently reached among all the teachers, determining the currently simplest images (i.e., a curriculum), which are to be reliably classified by the multi-modal learner. This well-organized propagation process leveraging multiple teachers and one learner enables our MMCL to outperform five state-of-the-art methods on eight popular image data sets.

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

    Science.gov (United States)

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

    2011-12-01

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

  6. DNA-stabilized silver nanoclusters and carbon nanoparticles oxide: A sensitive platform for label-free fluorescence turn-on detection of HIV-DNA sequences.

    Science.gov (United States)

    Ye, Yu-Dan; Xia, Li; Xu, Dang-Dang; Xing, Xiao-Jing; Pang, Dai-Wen; Tang, Hong-Wu

    2016-11-15

    Based on the remarkable difference between the interactions of carbon nanoparticles (CNPs) oxide with single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA), and the fact that fluorescence of DNA-stabilized silver nanoclusters (AgNCs) can be quenched by CNPs oxide, DNA-functionalized AgNCs were applied as label-free fluorescence probes and a novel fluorescence resonance energy transfer (FRET) sensor was successfully constructed for the detection of human immunodeficiency virus (HIV) DNA sequences. CNPs oxide were prepared with the oxidation of candle soot, hence it is simple, time-saving and low-cost. The strategy of dual AgNCs probes was applied to improve the detection sensitivity by using dual- probe capturing the same target DNA in a sandwich mode and as the fluorescence donor, and using CNPs oxide as the acceptor. In the presence of target DNA, a dsDNA hybrid forms, leading to the desorption of the ssDNA-AgNCs probes from CNPs oxide, and the recovering of fluorescence of the AgNCs in a HIV-DNA concentration-dependent manner. The results show that HIV-DNA can be detected in the range of 1-50nM with a detection limit of 0.40nM in aqueous buffer. The method is simple, rapid and sensitive with no need of labeled fluorescent probes, and moreover, the design of fluorescent dual-probe makes full use of the excellent fluorescence property of AgNCs and further improves the detection sensitivity. Copyright © 2016 Elsevier B.V. All rights reserved.

  7. Researching online supervision

    DEFF Research Database (Denmark)

    Smedegaard Ernst Bengtsen, Søren; Mathiasen, Helle

    2014-01-01

    , or a poor substitution of such. This one-sidedness on the conceptual level makes it challenging to empirically study the deeper implications digital tools have for the supervisory dialogue. Drawing on phenomenology and systems theory we argue that we need new concepts in qualitative methodology that allow...... us to research the digital tools on their own premises as autonomous things in themselves, possessing an ontological creativity of their own. In order for qualitative research to match the ontological nature of digital tools we conclude the article by formulating three criteria of a ‘torn......’ methodology that makes room for new approaches to researching online supervision at the university....

  8. Researching online supervision

    DEFF Research Database (Denmark)

    Bengtsen, Søren S. E.; Mathiasen, Helle

    2014-01-01

    us to research the digital tools on their own premises as autonomous things in themselves, possessing an ontological creativity of their own. In order for qualitative research to match the ontological nature of digital tools we conclude the article by formulating three criteria of a ‘torn......’ methodology that makes room for new approaches to researching online supervision at the university......., or a poor substitution of such. This one-sidedness on the conceptual level makes it challenging to empirically study the deeper implications digital tools have for the supervisory dialogue. Drawing on phenomenology and systems theory we argue that we need new concepts in qualitative methodology that allow...

  9. A hierarchical scheme for geodesic anatomical labeling of airway trees

    DEFF Research Database (Denmark)

    Feragen, Aasa; Petersen, Jens; Owen, Megan;

    2012-01-01

    We present a fast and robust supervised algorithm for label- ing anatomical airway trees, based on geodesic distances in a geometric tree-space. Possible branch label configurations for a given unlabeled air- way tree are evaluated based on the distances to a training set of labeled airway trees....

  10. A hierarchical scheme for geodesic anatomical labeling of airway trees

    DEFF Research Database (Denmark)

    Feragen, Aasa; Petersen, Jens; Owen, Megan

    2012-01-01

    We present a fast and robust supervised algorithm for label- ing anatomical airway trees, based on geodesic distances in a geometric tree-space. Possible branch label configurations for a given unlabeled air- way tree are evaluated based on the distances to a training set of labeled airway trees...

  11. Online supervision at the university

    DEFF Research Database (Denmark)

    Bengtsen, Søren Smedegaard; Jensen, Gry Sandholm

    2015-01-01

    The article presents and condenses the background, findings and results of a one yearlong research project on online supervision and feedback at the university. The article builds on presentations and discussions in different research environments and conferences on higher education research...... supervision proves unhelpful when trying to understand how online supervision and feedback is a pedagogical phenomenon in its own right, and irreducible to the face-to-face context. Secondly we show that not enough attention has been given to the way different digital tools and platforms influence...... the supervisory dialogue in the specific supervision context. We conclude by terming this challenge in online supervision a form of ‘torn pedagogy’; that online tools and platforms destabilise and ‘tear’ traditional understandings of supervision pedagogy ‘apart’. Also, we conclude that on the backdrop of a torn...

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

    DEFF Research Database (Denmark)

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

    Deep generative models based upon continuous variational distributions parameterized by deep networks give state-of-the-art performance. In this paper we propose a framework for extending the latent representation with extra auxiliary variables in order to make the variational distribution more...... expressive for semi-supervised learning. By utilizing the stochasticity of the auxiliary variable we demonstrate how to train discriminative classifiers resulting in state-of-the-art performance within semi-supervised learning exemplified by an 0.96% error on MNIST using 100 labeled data points. Furthermore...

  13. Food Labels

    Science.gov (United States)

    ... Surgery? Choosing the Right Sport for You Shyness Food Labels KidsHealth > For Teens > Food Labels Print A ... have at least 95% organic ingredients. continue Making Food Labels Work for You The first step in ...

  14. Advanced Music Therapy Supervision Training

    DEFF Research Database (Denmark)

    2009-01-01

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

  15. Advanced Music Therapy Supervision Training

    DEFF Research Database (Denmark)

    2009-01-01

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

  16. Site-Selective Monitoring of the Interaction of the SRA Domain of UHRF1 with Target DNA Sequences Labeled with 2-Aminopurine.

    Science.gov (United States)

    Greiner, Vanille J; Kovalenko, Lesia; Humbert, Nicolas; Richert, Ludovic; Birck, Catherine; Ruff, Marc; Zaporozhets, Olga A; Dhe-Paganon, Sirano; Bronner, Christian; Mély, Yves

    2015-10-06

    UHRF1 plays a central role in the maintenance and transmission of epigenetic modifications by recruiting DNMT1 to hemimethylated CpG sites via its SET and RING-associated (SRA) domain, ensuring error-free duplication of methylation profiles. To characterize SRA-induced changes in the conformation and dynamics of a target 12 bp DNA duplex as a function of the methylation status, we labeled duplexes by the environment-sensitive probe 2-aminopurine (2-Ap) at various positions near or far from the central CpG recognition site containing either a nonmodified cytosine (NM duplex), a methylated cytosine (HM duplex), or methylated cytosines on both strands (BM duplex). Steady-state and time-resolved fluorescence indicated that binding of SRA induced modest conformational and dynamical changes in NM, HM, and BM duplexes, with only slight destabilization of base pairs, restriction of global duplex flexibility, and diminution of local nucleobase mobility. Moreover, significant restriction of the local motion of residues flanking the methylcytosine in the HM duplex suggested that these residues are more rigidly bound to SRA, in line with a slightly higher affinity of the HM duplex as compared to that of the NM or BM duplex. Our results are consistent with a "reader" role, in which the SRA domain scans DNA sequences for hemimethylated CpG sites without perturbation of the structure of contacted nucleotides.

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

    NARCIS (Netherlands)

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

    2014-01-01

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

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

    NARCIS (Netherlands)

    Cherednychenko, O.O.

    2014-01-01

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

  19. Supervising PETE Candidates Using the Situational Supervision Model

    Science.gov (United States)

    Levy, Linda S.; Johnson, Lynn V.

    2012-01-01

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

  20. Exploring Clinical Supervision as Instrument for Effective Teacher Supervision

    Science.gov (United States)

    Ibara, E. C.

    2013-01-01

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

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

    Science.gov (United States)

    Carter, Susan

    2016-01-01

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

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

    Science.gov (United States)

    Carter, Susan

    2016-01-01

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

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

    Science.gov (United States)

    Dyer, James E.; Williams, David L.

    1997-01-01

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

  4. 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.

  5. Semi-Supervised Classification based on Gaussian Mixture Model for remote imagery

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Semi-Supervised Classification (SSC),which makes use of both labeled and unlabeled data to determine classification borders in feature space,has great advantages in extracting classification information from mass data.In this paper,a novel SSC method based on Gaussian Mixture Model (GMM) is proposed,in which each class’s feature space is described by one GMM.Experiments show the proposed method can achieve high classification accuracy with small amount of labeled data.However,for the same accuracy,supervised classification methods such as Support Vector Machine,Object Oriented Classification,etc.should be provided with much more labeled data.

  6. Inductive Supervised Quantum Learning

    Science.gov (United States)

    Monràs, Alex; Sentís, Gael; Wittek, Peter

    2017-05-01

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

  7. Supervision in Special Language Programs.

    Science.gov (United States)

    Florez-Tighe, Viola

    Too little emphasis is placed on instructional supervision in special language programs for limited-English-proficient students. Such supervision can provide a mechanism to promote the growth of instructional staff, improve the instructional program, and lead to curriculum development. Many supervisors are undertrained and unable to provide…

  8. Unfinished Business: Subjectivity and Supervision

    Science.gov (United States)

    Green, Bill

    2005-01-01

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

  9. Supervision af psykoterapi via Skype

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Grünbaum, Liselotte

    2011-01-01

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

  10. Supervisees' Perception of Clinical Supervision

    Science.gov (United States)

    Willis, Lisa

    2010-01-01

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

  11. 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…

  12. 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...

  13. 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 henven...

  14. Semi-supervised Eigenvectors for Locally-biased Learning

    DEFF Research Database (Denmark)

    Hansen, Toke Jansen; Mahoney, Michael W.

    2012-01-01

    of this sort are particularly challenging for popular eigenvector-based machine learning and data analysis tools. At root, the reason is that eigenvectors are inherently global quantities. In this paper, we address this issue by providing a methodology to construct semi-supervised eigenvectors of a graph......In many applications, one has side information, e.g., labels that are provided in a semi-supervised manner, about a specific target region of a large data set, and one wants to perform machine learning and data analysis tasks "nearby" that pre-specified target region. Locally-biased problems...... Laplacian, and we illustrate how these locally-biased eigenvectors can be used to perform locally-biased machine learning. These semi-supervised eigenvectors capture successively-orthogonalized directions of maximum variance, conditioned on being well-correlated with an input seed set of nodes...

  15. 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.

  16. Group supervision for general practitioners

    DEFF Research Database (Denmark)

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

    2013-01-01

    AIM: Group supervision is a sparsely researched method for professional development in general practice. The aim of this study was to explore general practitioners' (GPs') experiences of the benefits of group supervision for improving the treatment of mental disorders. METHODS: One long...... considered important prerequisites for disclosing and discussing professional problems. CONCLUSION: The results of this study indicate that participation in a supervision group can be beneficial for maintaining and developing GPs' skills in dealing with patients with mental health problems. Group supervision......-established supervision group was studied closely for six months by observing the group sessions, and by interviewing GPs and their supervisors, individually and collectively. The interviews were recorded digitally and transcribed verbatim. The data were analysed using systematic text condensation. RESULTS: The GPs found...

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

    Directory of Open Access Journals (Sweden)

    Vijaya Geeta Dharmavaram

    2013-01-01

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

  18. Semi-Supervised and Unsupervised Novelty Detection using Nested Support Vector Machines

    OpenAIRE

    de Morsier, Frank; Borgeaud, Maurice; Gass, Volker; Küchler, Christoph; Thiran, Jean-Philippe

    2012-01-01

    Very often in change detection only few labels or even none are available. In order to perform change detection in these extreme scenarios, they can be considered as novelty detection problems, semi-supervised (SSND) if some labels are available otherwise unsupervised (UND). SSND can be seen as an unbalanced classification between labeled and unlabeled samples using the Cost-Sensitive Support Vector Machine (CS-SVM). UND assumes novelties in low density regions and can be approached using th...

  19. Integrating the Supervised Information into Unsupervised Learning

    Directory of Open Access Journals (Sweden)

    Ping Ling

    2013-01-01

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

  20. Supervised and Unsupervised Classification for Pattern Recognition Purposes

    Directory of Open Access Journals (Sweden)

    Catalina COCIANU

    2006-01-01

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

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

    Science.gov (United States)

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

    2015-12-01

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

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

    Science.gov (United States)

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

    2007-03-01

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

  3. Trade Supervision Adjustment in 2012

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

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

  4. Learning Dynamics in Doctoral Supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie

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

  5. Dna Sequencing

    Science.gov (United States)

    Tabor, Stanley; Richardson, Charles C.

    1995-04-25

    A method for sequencing a strand of DNA, including the steps off: providing the strand of DNA; annealing the strand with a primer able to hybridize to the strand to give an annealed mixture; incubating the mixture with four deoxyribonucleoside triphosphates, a DNA polymerase, and at least three deoxyribonucleoside triphosphates in different amounts, under conditions in favoring primer extension to form nucleic acid fragments complementory to the DNA to be sequenced; labelling the nucleic and fragments; separating them and determining the position of the deoxyribonucleoside triphosphates by differences in the intensity of the labels, thereby to determine the DNA sequence.

  6. 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...

  7. 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…

  8. 32 CFR 727.11 - Supervision.

    Science.gov (United States)

    2010-07-01

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

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

    Science.gov (United States)

    Dysthe, Olga; Samara, Akylina; Westrheim, Kariane

    2006-01-01

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

  10. Clinical supervision in a community setting.

    Science.gov (United States)

    Evans, Carol; Marcroft, Emma

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

  11. Clinical supervision: the state of the art.

    Science.gov (United States)

    Falender, Carol A; Shafranske, Edward P

    2014-11-01

    Since the recognition of clinical supervision as a distinct professional competence and a core competence, attention has turned to ensuring supervisor competence and effective supervision practice. In this article, we highlight recent developments and the state of the art in supervision, with particular emphasis on the competency-based approach. We present effective clinical supervision strategies, providing an integrated snapshot of the current status. We close with consideration of current training practices in supervision and challenges.

  12. Two New Standards Further Enhanced the Authenticity of Food Labels

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    @@ Recently, the General Administration of Quality Supervision, Inspection and Quarantine and the Standardization Administration of China approved and promulgated two compulsory national standards: the General Principles for the Labeling of Prepackaged Foods and the General Principles for the Labeling of Prepackaged Foods for Special Dietary Uses. These two standards will come into force from October 1, 2005.

  13. Nutrition Labeling

    DEFF Research Database (Denmark)

    Grunert, Klaus G

    2013-01-01

    because consumers will avoid products that the label shows to be nutritionally deficient, but also because food producers will try to avoid marketing products that appear, according to the label, as nutritionally problematic, for example, because of a high content of saturated fat or salt. Nutrition......Nutrition labeling refers to the provision of information on a food product’s nutritional content on the package label. It can serve both public health and commercial purposes. From a public health perspective, the aim of nutrition labeling is to provide information that can enable consumers...... to make healthier choices when choosing food products. Nutrition labeling is thus closely linked to the notion of the informed consumer, that chooses products according to their aims, on the basis of the information at their disposal. Because many consumers are assumed to be interested in making healthy...

  14. Nutrition Labeling

    DEFF Research Database (Denmark)

    Grunert, Klaus G

    2013-01-01

    because consumers will avoid products that the label shows to be nutritionally deficient, but also because food producers will try to avoid marketing products that appear, according to the label, as nutritionally problematic, for example, because of a high content of saturated fat or salt. Nutrition......Nutrition labeling refers to the provision of information on a food product’s nutritional content on the package label. It can serve both public health and commercial purposes. From a public health perspective, the aim of nutrition labeling is to provide information that can enable consumers...... to make healthier choices when choosing food products. Nutrition labeling is thus closely linked to the notion of the informed consumer, that chooses products according to their aims, on the basis of the information at their disposal. Because many consumers are assumed to be interested in making healthy...

  15. Relative bioavailability of levodropropizine 60 mg capsule and syrup formulations in healthy male Korean volunteers: a singledose, randomized-sequence, open-label, two-way crossover study.

    Science.gov (United States)

    Jang, Jae-Won; Seo, Ji-Hyung; Jo, Min-Ho; Lee, Young-Joo; Cho, Young-Wuk; Yim, Sung-Vin; Lee, Kyung-Tae

    2013-02-01

    Levodropropizine is an oral non-opioid anti-tussive drug used in treatment of cough. A new generic 60 mg capsule formulation of levodropropizine has recently been developed. The aim of this study was to assess the pharmacokinetics and bioequivalence of the test (capsule) formulation and reference (syrup) formulation of levodropropizine (60 mg) in healthy, fasted, male Korean volunteers. This was a single-dose, randomized sequence, open-label, 2-period crossover study conducted in healthy male Korean volunteers in the fasted state at Kyung Hee University Medical Center (Seoul, Republic of Korea). A single oral dose of the test or reference formulation was followed by a 1-week washout period, after which subjects received the alternative formulation. Blood samples were collected at 0 (predose), 0.17, 0.33, 0.5, 0.75, 1, 1.5, 2, 3, 4, 6, 8, and 12 hours after study drug administration. Plasma concentration of levodropropizine was determined using a validated liquid chromatography tandem mass spectrometry (LCMS/ MS) method. The formulations were considered bioequivalent if the 90% CIs for C(max), AUC(0-12h) and AUC(0-∞) were within the predetermined bioequivalence range (80 - 125%, according to the guidelines of the Korea Food and Drug Administration (Korea FDA)). Tolerability was evaluated throughout the study based on vital sign measurements, laboratory analysis (blood biochemistry, hematology, hepatic function and urinalysis) and subject interviews concerning adverse events (AEs). A total of 36 male Korean subjects (mean (SD) age, 23.9 (2.4) years (range 19 - 30 years); height, 176.2 (6.1) cm (range 161 - 190 cm); weight, 69.8 (9.1) kg (range 54.0 - 92.2 kg); body mass index, 22.4 (2.1) kg/m2 (range 19.1 - 28.3 kg/m2)) was enrolled and completed the study. The mean values for C(max), t(max), AUC(0-12h), and AUC(0-∞) with the test formulation of levodropropizine were 331.51 ng/ml, 0.60 hours, 784.32 ng×h/ml, and 825.82 ng×h/ml, respectively; for the reference

  16. 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.

  17. Genetic diversity analysis of sugarcane germplasm based on fluorescence-labeled simple sequence repeat markers and a capillary electrophoresis-based genotyping platform

    Science.gov (United States)

    Genetic diversity analysis, which refers to the elaboration of total extent of genetic characteristics in the genetic makeup of a certain species, constitutes a classical strategy for the study of diversity, population genetic structure, and breeding practices. In this study, fluorescence-labeled se...

  18. Quintic spline smooth semi-supervised support vector classification machine

    Institute of Scientific and Technical Information of China (English)

    Xiaodan Zhang; Jinggai Ma; Aihua Li; Ang Li

    2015-01-01

    A semi-supervised vector machine is a relatively new learning method using both labeled and unlabeled data in classifi-cation. Since the objective function of the model for an unstrained semi-supervised vector machine is not smooth, many fast opti-mization algorithms cannot be applied to solve the model. In order to overcome the difficulty of dealing with non-smooth objective functions, new methods that can solve the semi-supervised vector machine with desired classification accuracy are in great demand. A quintic spline function with three-times differentiability at the ori-gin is constructed by a general three-moment method, which can be used to approximate the symmetric hinge loss function. The approximate accuracy of the quintic spline function is estimated. Moreover, a quintic spline smooth semi-support vector machine is obtained and the convergence accuracy of the smooth model to the non-smooth one is analyzed. Three experiments are performed to test the efficiency of the model. The experimental results show that the new model outperforms other smooth models, in terms of classification performance. Furthermore, the new model is not sensitive to the increasing number of the labeled samples, which means that the new model is more efficient.

  19. hNCOcanH pulse sequence and a robust protocol for rapid and unambiguous assignment of backbone ((1)H(N), (15)N and (13)C') resonances in (15)N/(13)C-labeled proteins.

    Science.gov (United States)

    Kumar, Dinesh; Hosur, Ramakrishna V

    2011-09-01

    A three-dimensional nuclear magnetic resonance (NMR) pulse sequence named as hNCOcanH has been described to aid rapid sequential assignment of backbone resonances in (15)N/(13)C-labeled proteins. The experiment has been derived by a simple modification of the previously described HN(C)N pulse sequence [Panchal et al., J. Biomol. NMR 20 (2001) 135-147]; t2 evolution is used to frequency label (13)C' rather than (15)N (similar trick has also been used in the design of hNCAnH pulse sequence from hNcaNH [Frueh et al., JACS, 131 (2009) 12880-12881]). The modification results in a spectrum equivalent to HNCO, but in addition to inter-residue correlation peaks (i.e. Hi , Ci-1), the spectrum also contains additional intra-residue correlation peaks (i.e. Hi-1 , Ci-1) in the direct proton dimension which has maximum resolution. This is the main strength of the experiment and thus, even a small difference in amide (1) H chemical shifts (5-6 Hz) can be used for establishing a sequential connectivity. This experiment in combination with the HNN experiment described previously [Panchal et al., J. Biomol. NMR 20 (2001) 135-147] leads to a more robust assignment protocol for backbone resonances ((1) H(N) , (15)N) than could be derived from the combination of HNN and HN(C)N experiments [Bhavesh et al., Biochemistry, 40 (2001) 14727-14735]. Further, this new protocol enables assignment of (13)C' resonances as well. We believe that the experiment and the protocol presented here will be of immense value for structural-and functional-proteomics research by NMR. Performance of this experiment has been demonstrated using (13)C/(15)N labeled ubiquitin.

  20. 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.

  1. Sustainability Labeling

    NARCIS (Netherlands)

    Dam, van Y.K.

    2017-01-01

    Sustainability labeling originated from a need to protect the identity of alternative systems of food production and to increase market transparency. From the 1980s onwards sustainability labeling has changed into a policy instrument replacing direct government regulation of the food market, and a

  2. Transfer learning improves supervised image segmentation across imaging protocols

    DEFF Research Database (Denmark)

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

    2015-01-01

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

  3. Ethics in Rehabilitation Counselor Supervision.

    Science.gov (United States)

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

    2002-01-01

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

  4. Integrative gene network construction to analyze cancer recurrence using semi-supervised learning.

    Directory of Open Access Journals (Sweden)

    Chihyun Park

    Full Text Available BACKGROUND: The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses only a few labeled samples. Semi-supervised learning can be a great alternative to solve this problem. There have been few attempts based on manifold assumptions to reveal the detailed roles of identified cancer genes in recurrence. RESULTS: In order to predict cancer recurrence, we proposed a novel semi-supervised learning algorithm based on a graph regularization approach. We transformed the gene expression data into a graph structure for semi-supervised learning and integrated protein interaction data with the gene expression data to select functionally-related gene pairs. Then, we predicted the recurrence of cancer by applying a regularization approach to the constructed graph containing both labeled and unlabeled nodes. CONCLUSIONS: The average improvement rate of accuracy for three different cancer datasets was 24.9% compared to existing supervised and semi-supervised methods. We performed functional enrichment on the gene networks used for learning. We identified that those gene networks are significantly associated with cancer-recurrence-related biological functions. Our algorithm was developed with standard C++ and is available in Linux and MS Windows formats in the STL library. The executable program is freely available at: http://embio.yonsei.ac.kr/~Park/ssl.php.

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

    Science.gov (United States)

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

    2016-12-08

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

  6. Bioavailability of three rufinamide oral suspensions compared with the marketed 400-mg tablet formulation: results from a randomized-sequence, open-label, four-period, four-sequence crossover study in healthy subjects.

    Science.gov (United States)

    Critchley, David John; Aluri, Jagadeesh; Boyd, Peter; Whayman, Matthew; Narurkar, Milind; Delargy, Hugh; Bibbiani, Francesco

    2011-01-01

    Rufinamide is indicated for the adjunctive treatment of seizures associated with Lennox-Gastaut syndrome in patients aged ≥4 years. The primary purpose of this study was to compare the relative bioavailability and other pharmacokinetics of rufinamide administered as a 400-mg tablet formulation (reference) with 10 mL of a newly developed 40-mg/mL suspension (test) manufactured using 3 different homogenization speeds in healthy subjects under fed conditions. The study also explored whether homogenization speed had any effect on rufinamide pharmacokinetics when administered as a suspension formulation. This was a randomized, open-label, crossover, single-dose study in healthy, fed subjects aged 18 to 55 years (inclusive), conducted at a single center in the United Kingdom. Subjects were randomized to 1 of 4 treatment sequences, with each sequence consisting of 4 treatment periods. In each treatment period, subjects received a single dose of either the reference product (400-mg rufinamide tablet) or the test product (10 mL of rufinamide suspension [40 mg/mL] manufactured using 3 different homogenization speeds [1800, 2100, and 3000 revolutions per minute (rpm)]). Serial blood samples were collected for 72 hours after dosing for the measurement of rufinamide in plasma. Primary comparisons between test (suspension) and reference (tablet) formulations focused on AUC from 0 to 72 hours (AUC(0-72 h)) and C(max). The formulations were considered bioequivalent if the ratios of geometric least squares means and associated 90% CIs of AUC(0-72 h) and C(max) were within the predetermined range of 80%-125%, according to the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) requirements. Tolerability was assessed by subject interviews, physical examinations, and laboratory tests. Twenty-four healthy subjects were randomized: 8 were male and 16 were female; 22 white, 1 black, and 1 Asian subjects were enrolled. Mean (SD) age was 29.8 (10.0) years. Mean

  7. Active semi-supervised learning method with hybrid deep belief networks.

    Science.gov (United States)

    Zhou, Shusen; Chen, Qingcai; Wang, Xiaolong

    2014-01-01

    In this paper, we develop a novel semi-supervised learning algorithm called active hybrid deep belief networks (AHD), to address the semi-supervised sentiment classification problem with deep learning. First, we construct the previous several hidden layers using restricted Boltzmann machines (RBM), which can reduce the dimension and abstract the information of the reviews quickly. Second, we construct the following hidden layers using convolutional restricted Boltzmann machines (CRBM), which can abstract the information of reviews effectively. Third, the constructed deep architecture is fine-tuned by gradient-descent based supervised learning with an exponential loss function. Finally, active learning method is combined based on the proposed deep architecture. We did several experiments on five sentiment classification datasets, and show that AHD is competitive with previous semi-supervised learning algorithm. Experiments are also conducted to verify the effectiveness of our proposed method with different number of labeled reviews and unlabeled reviews respectively.

  8. 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...

  9. 40 CFR 35.935-8 - Supervision.

    Science.gov (United States)

    2010-07-01

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

  10. 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,…

  11. 10 CFR 35.27 - Supervision.

    Science.gov (United States)

    2010-01-01

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

  12. 28 CFR 2.91 - Supervision responsibility.

    Science.gov (United States)

    2010-07-01

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

  13. 75 FR 59799 - Office of Thrift Supervision

    Science.gov (United States)

    2010-09-28

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

  14. 7 CFR 70.12 - Supervision.

    Science.gov (United States)

    2010-01-01

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

  15. 7 CFR 550.33 - Administrative supervision.

    Science.gov (United States)

    2010-01-01

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

  16. 27 CFR 46.79 - Supervision.

    Science.gov (United States)

    2010-04-01

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

  17. 24 CFR 200.105 - Mortgagor supervision.

    Science.gov (United States)

    2010-04-01

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

  18. The Learning Alliance: Ethics in Doctoral Supervision

    Science.gov (United States)

    Halse, Christine; Bansel, Peter

    2012-01-01

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

  19. 48 CFR 836.572 - Government supervision.

    Science.gov (United States)

    2010-10-01

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

  20. 7 CFR 56.6 - Supervision.

    Science.gov (United States)

    2010-01-01

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

  1. 32 CFR 631.3 - Supervision.

    Science.gov (United States)

    2010-07-01

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

  2. 9 CFR 354.13 - Supervision.

    Science.gov (United States)

    2010-01-01

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

  3. 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....

  4. 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…

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

    Science.gov (United States)

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

    2012-01-01

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

  6. 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.

  7. Semi-Supervised Learning Based on Manifold in BCI

    Institute of Scientific and Technical Information of China (English)

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

    2009-01-01

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

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

    Science.gov (United States)

    Peng, Liang; Liu, Xiaoyan

    2015-01-01

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

  9. Clinical supervision training across contexts.

    Science.gov (United States)

    Tai, Joanna; Bearman, Margaret; Edouard, Vicki; Kent, Fiona; Nestel, Debra; Molloy, Elizabeth

    2016-08-01

    Clinicians require specific skills to teach or supervise students in the workplace; however, there are barriers to accessing faculty member development, such as time, cost and suitability. The Clinical Supervision Support Across Contexts (ClinSSAC) programme was designed to provide accessible interprofessional educator training to clinical supervisors across a wide range of clinical settings. In Australia there are increasing numbers of health care students, creating pressure on existing placements. Students are now increasingly learning in community settings, where clinicians have traditionally had less access to faculty member development. An interprofessional team collaborated in the development and implementation of ClinSSAC. A total of 978 clinicians participated in a face-to-face, interactive, introductory module to clinical supervision; 672 people accessed the equivalent online core module, with 23 per cent completing all activities. Additional profession-and discipline-specific modules were also developed. Formal project evaluation found that most participants rated the workshops as helpful or very helpful for their roles as clinical supervisors. Interdisciplinary learning from the workshops was reported to enable cross-discipline supervision. Large participant numbers and favourable ratings indicate a continuing need for basic training in education. Key factors to workshop success included expert facilitators, the interprofessional context and interactive model. The online modules were an important adjunct, and provided context-specific resources, but the low online completion rate suggests protected face-to-face time for faculty member development is still required. Programmes such as ClinSSAC have the capacity to promote interprofessional education and practice. There are barriers to accessing faculty member development, such as time, cost and suitability. © 2015 John Wiley & Sons Ltd.

  10. Learning Dynamics in Doctoral Supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie

    This doctoral research explores doctoral supervision within life science research in a Danish university. From one angle it investigates doctoral students’ experiences with strengthening the relationship with their supervisors through a structured meeting with the supervisor, prepared as part...... of an introduction course for new doctoral students. This study showed how the course provides an effective way build supervisee agency and strengthening supervisory relationships through clarification and alignment of expectations and sharing goals about doctoral studies. From the other angle the research...

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

    Science.gov (United States)

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

    2012-01-01

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

  12. 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

  13. Sequence-specific label-free nucleic acid biosensor for the detection of the hepatitis C virus genotype 1a using a disposable pencil graphite electrode.

    Science.gov (United States)

    Donmez, Soner; Arslan, Fatma; Arslan, Halit

    2016-05-01

    In this paper, we demonstrate a simple, sensitive, inexpensive, disposable and label-free electrochemical nucleic acid biosensor for the detection of the hepatitis C virus genotype 1a (HCV1a). The nucleic acid biosensor was designed with the amino-linked inosine-substituted 20-mer probes, which were immobilized onto a disposable pencil graphite electrode (PGE) by covalent linking. The proposed nucleic acid biosensor was linear in the range of 0.05 and 0.75 μM, exhibiting a limit of detection of 54.9 nM. The single-stranded synthetic PCR product analogs of HCV1a were also detected with satisfactory results under optimal conditions, showing the potential application of this biosensor.

  14. Incremental multi-class semi-supervised clustering regularized by Kalman filtering.

    Science.gov (United States)

    Mehrkanoon, Siamak; Agudelo, Oscar Mauricio; Suykens, Johan A K

    2015-11-01

    This paper introduces an on-line semi-supervised learning algorithm formulated as a regularized kernel spectral clustering (KSC) approach. We consider the case where new data arrive sequentially but only a small fraction of it is labeled. The available labeled data act as prototypes and help to improve the performance of the algorithm to estimate the labels of the unlabeled data points. We adopt a recently proposed multi-class semi-supervised KSC based algorithm (MSS-KSC) and make it applicable for on-line data clustering. Given a few user-labeled data points the initial model is learned and then the class membership of the remaining data points in the current and subsequent time instants are estimated and propagated in an on-line fashion. The update of the memberships is carried out mainly using the out-of-sample extension property of the model. Initially the algorithm is tested on computer-generated data sets, then we show that video segmentation can be cast as a semi-supervised learning problem. Furthermore we show how the tracking capabilities of the Kalman filter can be used to provide the labels of objects in motion and thus regularizing the solution obtained by the MSS-KSC algorithm. In the experiments, we demonstrate the performance of the proposed method on synthetic data sets and real-life videos where the clusters evolve in a smooth fashion over time.

  15. A Hybrid Generative/Discriminative Classifier Design for Semi-supervised Learing

    Science.gov (United States)

    Fujino, Akinori; Ueda, Naonori; Saito, Kazumi

    Semi-supervised classifier design that simultaneously utilizes both a small number of labeled samples and a large number of unlabeled samples is a major research issue in machine learning. Existing semi-supervised learning methods for probabilistic classifiers belong to either generative or discriminative approaches. This paper focuses on a semi-supervised probabilistic classifier design for multiclass and single-labeled classification problems and first presents a hybrid approach to take advantage of the generative and discriminative approaches. Our formulation considers a generative model trained on labeled samples and a newly introduced bias correction model, whose belongs to the same model family as the generative model, but whose parameters are different from the generative model. A hybrid classifier is constructed by combining both the generative and bias correction models based on the maximum entropy principle, where the combination weights of these models are determined so that the class labels of labeled samples are as correctly predicted as possible. We apply the hybrid approach to text classification problems by employing naive Bayes as the generative and bias correction models. In our experimental results on three English and one Japanese text data sets, we confirmed that the hybrid classifier significantly outperformed conventional probabilistic generative and discriminative classifiers when the classification performance of the generative classifier was comparable to the discriminative classifier.

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

    Directory of Open Access Journals (Sweden)

    Rongbing Huang

    2016-01-01

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

  17. An improved method for the synthesis of mercurated dUTP. Enzymic synthesis of Hg-labelled DNA of high molecular weight suitable for use in an image based DNA sequencing strategy.

    Science.gov (United States)

    Bridgman, A J; Petersen, G B

    1996-01-01

    The development of high-resolution scanning-probe microscopes has reawakened interest in the possibility of sequencing large nucleic acid molecules by direct imaging. Such an approach would be facilitated by the availability of effective methods for increasing contrast by labelling specific nucleotides, and the utility of introducing mercury atoms into complete DNA molecules through the enzymic polymerisation of mercurated pyrimidine deoxynucleoside triphosphates has been re-investigated. A simplified and improved method for the synthesis of a heat- and thiol-stable, mercurated derivative of deoxyuridine triphosphate in high yield and the incorporation of this precursor into full-length copies of a single-stranded phage M13 template are described. The DNA product has been fully characterised and the quantitative and specific replacement of thymidylic acid residues by the mercurated analogue demonstrated.

  18. Automated sequence- and stereo-specific assignment of methyl-labeled proteins by paramagnetic relaxation and methyl-methyl nuclear overhauser enhancement spectroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Venditti, Vincenzo; Fawzi, Nicolas L.; Clore, G. Marius, E-mail: mariusc@mail.nih.gov [National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Laboratory of Chemical Physics (United States)

    2011-11-15

    Methyl-transverse relaxation optimized spectroscopy is rapidly becoming the preferred NMR technique for probing structure and dynamics of very large proteins up to {approx}1 MDa in molecular size. Data interpretation, however, necessitates assignment of methyl groups which still presents a very challenging and time-consuming process. Here we demonstrate that, in combination with a known 3D structure, paramagnetic relaxation enhancement (PRE), induced by nitroxide spin-labels incorporated at only a few surface-exposed engineered cysteines, provides fast, straightforward and robust access to methyl group resonance assignments, including stereoassignments for the methyl groups of leucine and valine. Neither prior assignments, including backbone assignments, for the protein, nor experiments that transfer magnetization between methyl groups and the protein backbone, are required. PRE-derived assignments are refined by 4D methyl-methyl nuclear Overhauser enhancement data, eliminating ambiguities and errors that may arise due to the high sensitivity of PREs to the potential presence of sparsely-populated transient states.

  19. Sundhedsfaglig supervision som klinisk metode

    DEFF Research Database (Denmark)

    Nordentoft, Helle Merete

    2011-01-01

    Kapitlet gennemgår og diskuterer sundhedsfaglig supervision (SFS) som metode. Formålet med kapitlet er at give læseren indsigt i og et kritisk blik på metodens muligheder og begrænsninger. Indledningsvis uddyber kapitlet den historiske baggrund for SFS og hvordan metoden udfolder sig i praksis me...... metodens fremtidige perspektiver - set i lyset af de mange nye metoder, der 'kæmper' om de samme målgrupper i vejledningslandskabet så som f.eks. coaching, debriefing og mentoring....

  20. 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

  1. Supervised Object Class Colour Normalisation

    DEFF Research Database (Denmark)

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

    2013-01-01

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

  2. Supervised local error estimation for nonlinear image registration using convolutional neural networks

    Science.gov (United States)

    Eppenhof, Koen A. J.; Pluim, Josien P. W.

    2017-02-01

    Error estimation in medical image registration is valuable when validating, comparing, or combining registration methods. To validate a nonlinear image registration method, ideally the registration error should be known for the entire image domain. We propose a supervised method for the estimation of a registration error map for nonlinear image registration. The method is based on a convolutional neural network that estimates the norm of the residual deformation from patches around each pixel in two registered images. This norm is interpreted as the registration error, and is defined for every pixel in the image domain. The network is trained using a set of artificially deformed images. Each training example is a pair of images: the original image, and a random deformation of that image. No manually labeled ground truth error is required. At test time, only the two registered images are required as input. We train and validate the network on registrations in a set of 2D digital subtraction angiography sequences, such that errors up to eight pixels can be estimated. We show that for this range of errors the convolutional network is able to learn the registration error in pairs of 2D registered images at subpixel precision. Finally, we present a proof of principle for the extension to 3D registration problems in chest CTs, showing that the method has the potential to estimate errors in 3D registration problems.

  3. Semi-supervised learning and domain adaptation in natural language processing

    CERN Document Server

    Søgaard, Anders

    2013-01-01

    This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias.This book is intended to be both

  4. Status Quo Of Drug Supervision in China

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

  5. On Training Targets for Supervised Speech Separation

    OpenAIRE

    Wang, Yuxuan; Narayanan, Arun; Wang, DeLiang

    2014-01-01

    Formulation of speech separation as a supervised learning problem has shown considerable promise. In its simplest form, a supervised learning algorithm, typically a deep neural network, is trained to learn a mapping from noisy features to a time-frequency representation of the target of interest. Traditionally, the ideal binary mask (IBM) is used as the target because of its simplicity and large speech intelligibility gains. The supervised learning framework, however, is not restricted to the...

  6. Clinical supervision by consultants in teaching hospitals.

    Science.gov (United States)

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

    2009-08-17

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

  7. Semi-Supervised Kernel PCA

    DEFF Research Database (Denmark)

    Walder, Christian; Henao, Ricardo; Mørup, Morten

    We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points. The first, MV-KPCA, penalises within class variances similar to Fisher discriminant analysis. The second, LSKPCA is a hybrid of least...... squares regression and kernel PCA. The final LR-KPCA is an iteratively reweighted version of the previous which achieves a sigmoid loss function on the labeled points. We provide a theoretical risk bound as well as illustrative experiments on real and toy data sets....

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

    Science.gov (United States)

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

    2008-04-24

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

  9. Food labels

    DEFF Research Database (Denmark)

    Selsøe Sørensen, Henrik; Clement, Jesper; Gabrielsen, Gorm

    2012-01-01

    The food industry develops tasty and healthy food but fails to deliver the message to all consumers. The consumers’ background knowledge is essential for how they find and decode relevant elements in the cocktail of signs which fight for attention on food labels. In this exploratory study, we find...... evidence for dividing consumers into two profiles: one relying on general food knowledge and another using knowledge related to signpost labels. In a combined eyetracking and questionnaire survey we analyse the influence of background knowledge and identify different patterns of visual attention...... for the two consumer profiles. This underlines the complexity in choosing and designing the ‘right’ elements for a food package that consumers actually look at and are able to make rational use of. In spite of any regulation of food information provided by authorities, consumers will still be confronted...

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

    Science.gov (United States)

    Okech, Jane E. Atieno; Rubel, Deborah

    2007-01-01

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

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

    Science.gov (United States)

    Okech, Jane E. Atieno; Rubel, Deborah

    2007-01-01

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

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

    OpenAIRE

    2012-01-01

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

  13. 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.

  14. 19 CFR 146.4 - Operator responsibility and supervision.

    Science.gov (United States)

    2010-04-01

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

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

    Directory of Open Access Journals (Sweden)

    Pengfei Jia

    2016-03-01

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

  16. Supervised Lowess normalization of comparative genome hybridization data – application to lactococcal strain comparisons

    Directory of Open Access Journals (Sweden)

    Karsens Harma A

    2008-02-01

    Full Text Available Abstract Background Array-based comparative genome hybridization (aCGH is commonly used to determine the genomic content of bacterial strains. Since prokaryotes in general have less conserved genome sequences than eukaryotes, sequence divergences between the genes in the genomes used for an aCGH experiment obstruct determination of genome variations (e.g. deletions. Current normalization methods do not take into consideration sequence divergence between target and microarray features and therefore cannot distinguish a difference in signal due to systematic errors in the data or due to sequence divergence. Results We present supervised Lowess, or S-Lowess, an application of the subset Lowess normalization method. By using a predicted subset of array features with minimal sequence divergence between the analyzed strains for the normalization procedure we remove systematic errors from dual-dye aCGH data in two steps: (1 determination of a subset of conserved genes (i.e. likely conserved genes, LCG; and (2 using the LCG for subset Lowess normalization. Subset Lowess determines the correction factors for systematic errors in the subset of array features and normalizes all array features using these correction factors. The performance of S-Lowess was assessed on aCGH experiments in which differentially labeled genomic DNA fragments of Lactococcus lactis IL1403 and L. lactis MG1363 strains were hybridized to IL1403 DNA microarrays. Since both genomes are sequenced and gene deletions identified, the success rate of different aCGH normalization methods in detecting these deletions in the MG1363 genome were determined. S-Lowess detects 97% of the deletions, whereas other aCGH normalization methods detect up to only 60% of the deletions. Conclusion S-Lowess is implemented in a user-friendly web-tool accessible from http://bioinformatics.biol.rug.nl/websoftware/s-lowess. We demonstrate that it outperforms existing normalization methods and maximizes

  17. A Gestalt Approach to Group Supervision

    Science.gov (United States)

    Melnick, Joseph; Fall, Marijane

    2008-01-01

    The authors define and then describe the practice of group supervision. The role of creative experiment in assisting supervisees who perceive themselves as confused, moving in circles, or immobilized is described. Fictional case examples illustrate these issues in supervision. The authors posit the "good fit" of Gestalt theory and techniques with…

  18. 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...

  19. 27 CFR 70.609 - Supervision.

    Science.gov (United States)

    2010-04-01

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

  20. 28 CFR 551.32 - Staff supervision.

    Science.gov (United States)

    2010-07-01

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

  1. 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...

  2. 9 CFR 146.10 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... Supervision. (a) The Official State Agency may designate qualified persons as Authorized Agents to do...

  3. 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...

  4. The real relationship in psychotherapy supervision.

    Science.gov (United States)

    Watkins, C Edward

    2011-01-01

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

  5. 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....

  6. 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…

  7. 32 CFR 552.65 - Command supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 3 2010-07-01 2010-07-01 true Command supervision. 552.65 Section 552.65 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY MILITARY RESERVATIONS AND....65 Command supervision. (a) All insurance business conducted on Army installation will be...

  8. 9 CFR 145.11 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 145.11 Section 145.11 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... Supervision. (a) The Official State Agency may designate qualified persons as Authorized Agents to do...

  9. Experiencing Higher Degree Research Supervision as Teaching

    Science.gov (United States)

    Bruce, Christine; Stoodley, Ian

    2013-01-01

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

  10. The Agile Approach with Doctoral Dissertation Supervision

    Science.gov (United States)

    Tengberg, Lars Göran Wallgren

    2015-01-01

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

  11. 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…

  12. 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…

  13. The School Counselor, the Cactus, and Supervision

    Science.gov (United States)

    Boyd, John D.; Walter, Paul B.

    1975-01-01

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

  14. A Gestalt Approach to Group Supervision

    Science.gov (United States)

    Melnick, Joseph; Fall, Marijane

    2008-01-01

    The authors define and then describe the practice of group supervision. The role of creative experiment in assisting supervisees who perceive themselves as confused, moving in circles, or immobilized is described. Fictional case examples illustrate these issues in supervision. The authors posit the "good fit" of Gestalt theory and techniques with…

  15. 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.

  16. State Radiation Protection Supervision and Control

    CERN Document Server

    2002-01-01

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

  17. Semi-supervised eigenvectors for large-scale locally-biased learning

    DEFF Research Database (Denmark)

    Hansen, Toke Jansen; Mahoney, Michael W.

    2014-01-01

    -based machine learning and data analysis tools. At root, the reason is that eigenvectors are inherently global quantities, thus limiting the applicability of eigenvector-based methods in situations where one is interested in very local properties of the data. In this paper, we address this issue by providing......In many applications, one has side information, e.g., labels that are provided in a semi-supervised manner, about a specific target region of a large data set, and one wants to perform machine learning and data analysis tasks nearby that prespecified target region. For example, one might...... a methodology to construct semi-supervised eigenvectors of a graph Laplacian, and we illustrate how these locally-biased eigenvectors can be used to perform locally-biased machine learning. These semi-supervised eigenvectors capture successively-orthogonalized directions of maximum variance, conditioned...

  18. Gene classification using parameter-free semi-supervised manifold learning.

    Science.gov (United States)

    Huang, Hong; Feng, Hailiang

    2012-01-01

    A new manifold learning method, called parameter-free semi-supervised local Fisher discriminant analysis (pSELF), is proposed to map the gene expression data into a low-dimensional space for tumor classification. Motivated by the fact that semi-supervised and parameter-free are two desirable and promising characteristics for dimension reduction, a new difference-based optimization objective function with unlabeled samples has been designed. The proposed method preserves the global structure of unlabeled samples in addition to separating labeled samples in different classes from each other. The semi-supervised method has an analytic form of the globally optimal solution, which can be computed efficiently by eigen decomposition. Experimental results on synthetic data and SRBCT, DLBCL, and Brain Tumor gene expression data sets demonstrate the effectiveness of the proposed method.

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

    CERN Document Server

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

    2012-01-01

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

  20. Supervised preventive therapy for latent tuberculosis infection in illegal immigrants in Italy.

    Science.gov (United States)

    Matteelli, A; Casalini, C; Raviglione, M C; El-Hamad, I; Scolari, C; Bombana, E; Bugiani, M; Caputo, M; Scarcella, C; Carosi, G

    2000-11-01

    In a multicenter, prospective, randomized, open-label study of isoniazid-preventive therapy (IPT) for latent tuberculosis infection, illegal immigrants from countries where tuberculosis is highly endemic were enrolled at two clinical sites in Northern Italy. Of 208 eligible subjects, 82 received supervised IPT at a dose of 900 mg twice weekly for 6 mo (Regimen A), 73 received unsupervised IPT 900 mg twice weekly for 6 mo (Regimen B), and 53 received unsupervised IPT 300 mg daily for 6 mo (Regimen C). Supervised IPT was delivered at either one tuberculosis clinic or one migrant clinic. The probability of completing a 26-wk regimen was 7, 26, and 41% in Regimens A, B, and C, respectively (p illegal immigrants was low. Supervised, clinic-based administration of IPT significantly reduced adherence. Alternative strategies to implement preventive therapy in illegal immigrants are clearly required.

  1. Introduction to Pesticide Labels

    Science.gov (United States)

    Pesticide product labels provide critical information about how to safely and legally handle and use pesticide products. Unlike most other types of product labels, pesticide labels are legally enforceable. Learn about pesticide product labels.

  2. Food Label and You

    Medline Plus

    Full Text Available ... Products Food Home Food Ingredients, Packaging & Labeling Labeling & Nutrition The Food Label and You — Video Share Tweet ... FDA has issued final changes to update the Nutrition Facts label for packaged foods. For more information, ...

  3. Evaluation of a sequencing batch reactor sewage treatment rig for investigating the fate of radioactively labelled pharmaceuticals: Case study of propranolol.

    Science.gov (United States)

    Popple, T; Williams, J B; May, E; Mills, G A; Oliver, R

    2016-01-01

    Pharmaceuticals are frequently detected in the aquatic environment, and have potentially damaging effects. Effluents from sewage treatment plants (STPs) are major sources of these substances. The use of sequencing batch reactor (SBR) STPs, involving cycling between aerobic and anoxic conditions to promote nitrification and denitrification, is increasing but these have yet to be understood in terms of removal of pharmaceutical residues. This study reports on the development of a laboratory rig to simulate a SBR. The rig was used to investigate the fate of radiolabelled propranolol. This is a commonly prescribed beta blocker, but with unresolved fate in STPs. The SBR rig (4.5 L) was operated on an 8 h batch cycle with settled sewage. Effective treatment was demonstrated, with clearly distinct treatment phases and evidence of nitrogen removal. Radiolabelled (14)C-propranolol was dosed into both single (closed) and continuous (flow-through) simulations over 13 SBR cycles. Radioactivity in CO2 off-gas, biomass and liquid was monitored, along with the characteristics of the sewage. This allowed apparent rate constants and coefficients for biodegradation and solid:water partitioning to be determined. Extrapolation from off-gas radioactivity measurements in the single dose 4-d study suggested that propranolol fell outside the definitions of being readily biodegradable (DegT50 = 9.1 d; 60% biodegradation at 12.0 d). During continuous dosing, 63-72% of propranolol was removed in the rig, but less than 4% of dose recovered as (14)CO2, suggesting that biodegradation was a minor process (Kbiol(M) L kg d(-1) = 22-49) and that adsorption onto solids dominated, giving rise to accumulations within biomass during the 17 d solid retention time in the SBR. Estimations of adsorption isotherm coefficients were different depending on which of three generally accepted denominators representing sorption sites was used (mixed liquor suspended solids, reactor COD or mass of waste

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

    Science.gov (United States)

    Scalzo, Fabien; Hu, Xiao

    2013-04-01

    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.

  5. The DWPF Melter proposed heat up sequence

    Energy Technology Data Exchange (ETDEWEB)

    Smith, M.E.

    1989-08-11

    Per the request of DWPT supervision, a proposed heatup sequence for the DWPF Melter has been documented in this report. DWPF personnel will use this report as a guide to write the detailed DWPF Melter startup plan. 6 refs.

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

    DEFF Research Database (Denmark)

    Gonge, Henrik; Buus, Niels

    2015-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2012-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Jaehyun Yoo

    2015-05-01

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

  9. Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning

    DEFF Research Database (Denmark)

    2016-01-01

    Quantification of emphysema extent is important in diagnosing and monitoring patients with chronic obstructive pulmonary disease (COPD). Several studies have shown that emphysema quantification by supervised texture classification is more robust and accurate than traditional densitometry. Current...... techniques require highly time consuming manual annotations of patches or use only weak labels indicating overall disease status (e.g, COPD or healthy). We show how visual scoring of regional emphysema extent can be exploited in a learning with label proportions (LLP) framework to both predict presence...

  10. Supervision over technological and measurement processes

    Directory of Open Access Journals (Sweden)

    T. Karkoszka

    2011-01-01

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

  11. 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.

  12. 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.

  13. Supervised pixel classification using a feature space derived from an artificial visual system

    Science.gov (United States)

    Baxter, Lisa C.; Coggins, James M.

    1991-01-01

    Image segmentation involves labelling pixels according to their membership in image regions. This requires the understanding of what a region is. Using supervised pixel classification, the paper investigates how groups of pixels labelled manually according to perceived image semantics map onto the feature space created by an Artificial Visual System. Multiscale structure of regions are investigated and it is shown that pixels form clusters based on their geometric roles in the image intensity function, not by image semantics. A tentative abstract definition of a 'region' is proposed based on this behavior.

  14. Improving head and body pose estimation through semi-supervised manifold alignment

    KAUST Repository

    Heili, Alexandre

    2014-10-27

    In this paper, we explore the use of a semi-supervised manifold alignment method for domain adaptation in the context of human body and head pose estimation in videos. We build upon an existing state-of-the-art system that leverages on external labelled datasets for the body and head features, and on the unlabelled test data with weak velocity labels to do a coupled estimation of the body and head pose. While this previous approach showed promising results, the learning of the underlying manifold structure of the features in the train and target data and the need to align them were not explored despite the fact that the pose features between two datasets may vary according to the scene, e.g. due to different camera point of view or perspective. In this paper, we propose to use a semi-supervised manifold alignment method to bring the train and target samples closer within the resulting embedded space. To this end, we consider an adaptation set from the target data and rely on (weak) labels, given for example by the velocity direction whenever they are reliable. These labels, along with the training labels are used to bias the manifold distance within each manifold and to establish correspondences for alignment.

  15. Weakly supervised histopathology cancer image segmentation and classification.

    Science.gov (United States)

    Xu, Yan; Zhu, Jun-Yan; Chang, Eric I-Chao; Lai, Maode; Tu, Zhuowen

    2014-04-01

    Labeling a histopathology image as having cancerous regions or not is a critical task in cancer diagnosis; it is also clinically important to segment the cancer tissues and cluster them into various classes. Existing supervised approaches for image classification and segmentation require detailed manual annotations for the cancer pixels, which are time-consuming to obtain. In this paper, we propose a new learning method, multiple clustered instance learning (MCIL) (along the line of weakly supervised learning) for histopathology image segmentation. The proposed MCIL method simultaneously performs image-level classification (cancer vs. non-cancer image), medical image segmentation (cancer vs. non-cancer tissue), and patch-level clustering (different classes). We embed the clustering concept into the multiple instance learning (MIL) setting and derive a principled solution to performing the above three tasks in an integrated framework. In addition, we introduce contextual constraints as a prior for MCIL, which further reduces the ambiguity in MIL. Experimental results on histopathology colon cancer images and cytology images demonstrate the great advantage of MCIL over the competing methods.

  16. Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques

    Science.gov (United States)

    Sarhadi, Ali; Burn, Donald H.; Yang, Ge; Ghodsi, Ali

    2017-02-01

    One of the main challenges in climate change studies is accurate projection of the global warming impacts on the probabilistic behaviour of hydro-climate processes. Due to the complexity of climate-associated processes, identification of predictor variables from high dimensional atmospheric variables is considered a key factor for improvement of climate change projections in statistical downscaling approaches. For this purpose, the present paper adopts a new approach of supervised dimensionality reduction, which is called "Supervised Principal Component Analysis (Supervised PCA)" to regression-based statistical downscaling. This method is a generalization of PCA, extracting a sequence of principal components of atmospheric variables, which have maximal dependence on the response hydro-climate variable. To capture the nonlinear variability between hydro-climatic response variables and projectors, a kernelized version of Supervised PCA is also applied for nonlinear dimensionality reduction. The effectiveness of the Supervised PCA methods in comparison with some state-of-the-art algorithms for dimensionality reduction is evaluated in relation to the statistical downscaling process of precipitation in a specific site using two soft computing nonlinear machine learning methods, Support Vector Regression and Relevance Vector Machine. The results demonstrate a significant improvement over Supervised PCA methods in terms of performance accuracy.

  17. 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.

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

    Science.gov (United States)

    Hair, Heather J; Fine, Marshall

    2012-10-01

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

  19. Effective School Management and Supervision: Imperative for ...

    African Journals Online (AJOL)

    To provide quality education requires effective management of the human and material resources in the industry. ... examines the twin concepts of school management and supervision as the vital factors in providing quality education services.

  20. Factors affecting frontline workers' satisfaction with supervision.

    Science.gov (United States)

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

    2009-02-01

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

  1. Results of Evolution Supervised by Genetic Algorithms

    CERN Document Server

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

    2010-01-01

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

  2. 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.

  3. Supervision of Curriculum at the Middle Level.

    Science.gov (United States)

    Kienapfel, Bruce

    1984-01-01

    Effective curriculum supervision is essential to a good middle school and curriculum program, and principals can do this job through preparation, curriculum review and development, taking advantage of supervisory opportunities, and curriculum evaluation. (DCS)

  4. Learning from Weak and Noisy Labels for Semantic Segmentation.

    Science.gov (United States)

    Lu, Zhiwu; Fu, Zhenyong; Xiang, Tao; Han, Peng; Wang, Liwei; Gao, Xin

    2016-04-08

    A weakly supervised semantic segmentation (WSSS) method aims to learn a segmentation model from weak (image-level) as opposed to strong (pixel-level) labels. By avoiding the tedious pixel-level annotation process, it can exploit the unlimited supply of user-tagged images from media-sharing sites such as Flickr for large scale applications. However, these 'free' tags/labels are often noisy and few existing works address the problem of learning with both weak and noisy labels. In this work, we cast the WSSS problem into a label noise reduction problem. Specifically, after segmenting each image into a set of superpixels, the weak and potentially noisy image-level labels are propagated to the superpixel level resulting in highly noisy labels; the key to semantic segmentation is thus to identify and correct the superpixel noisy labels. To this end, a novel L1-optimisation based sparse learning model is formulated to directly and explicitly detect noisy labels. To solve the L1-optimisation problem, we further develop an efficient learning algorithm by introducing an intermediate labelling variable. Extensive experiments on three benchmark datasets show that our method yields state-of-the-art results given noise-free labels, whilst significantly outperforming the existing methods when the weak labels are also noisy.

  5. Learning from Weak and Noisy Labels for Semantic Segmentation

    KAUST Repository

    Lu, Zhiwu

    2016-04-08

    A weakly supervised semantic segmentation (WSSS) method aims to learn a segmentation model from weak (image-level) as opposed to strong (pixel-level) labels. By avoiding the tedious pixel-level annotation process, it can exploit the unlimited supply of user-tagged images from media-sharing sites such as Flickr for large scale applications. However, these ‘free’ tags/labels are often noisy and few existing works address the problem of learning with both weak and noisy labels. In this work, we cast the WSSS problem into a label noise reduction problem. Specifically, after segmenting each image into a set of superpixels, the weak and potentially noisy image-level labels are propagated to the superpixel level resulting in highly noisy labels; the key to semantic segmentation is thus to identify and correct the superpixel noisy labels. To this end, a novel L1-optimisation based sparse learning model is formulated to directly and explicitly detect noisy labels. To solve the L1-optimisation problem, we further develop an efficient learning algorithm by introducing an intermediate labelling variable. Extensive experiments on three benchmark datasets show that our method yields state-of-the-art results given noise-free labels, whilst significantly outperforming the existing methods when the weak labels are also noisy.

  6. Exploring My Style of Teacher Supervision

    OpenAIRE

    2009-01-01

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

  7. Integrated Financial Supervision: Experiences in Selected Countries

    OpenAIRE

    Edgardo Demaestri; Diego Sourrouille

    2003-01-01

    This paper represents one of the first comparative analyses of experiences of integrated supervision. It discusses how several countries around the world have developed the processes of integrating financial regulation and supervision, and covers numerous relevant technical issues as well as the policy options. It describes the scope of the activities, institutions, responsibilities, and regulatory powers that integrated supervisors are expected to cover. Issues related to the organizational ...

  8. On psychoanalytic supervision as signature pedagogy.

    Science.gov (United States)

    Watkins, C Edward

    2014-04-01

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

  9. Implicitly Defined Neural Networks for Sequence Labeling

    Science.gov (United States)

    2017-07-31

    struc- ture . 1.1 Related Work Long-range dependencies have been an issue as long as there have been NLP tasks, and there are many ef- fective approaches...σ(Wpxt + Upht−1 + bp) next switch sn = σ(Wnxt + Unht+1 + bn) 3 Experiments 3.1 Part-of-speech tagging Next we apply our model to a real world problem...Wall Street Journal corpus (Marcus et al., 1993), blocks 0-18, validated on 19-21, and tested on 22-24, and compared it to the results of the off-the

  10. Implicity Defined Neural Networks for Sequence Labeling

    Science.gov (United States)

    2017-02-13

    experiments demonstrate the new archi- tecture outperforms both the Stanford Parser and a baseline bidirectional network on the Penn Treebank Part-of- Speech ...this proved a reasonable approximation for Part-of- Speech tagging (Section 3.2). For other tasks, however, we found the eigenvalues were not as well... After time t, a bias term of b · v was added at each time step (b·v ·(t′−t)) for the first time step greater than t′. b is a global scalar parameter. The

  11. 28 CFR 2.94 - Supervision reports to Commission.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision reports to Commission. 2.94 Section 2.94 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.94 Supervision reports to Commission. An initial supervision report to confirm...

  12. 10 CFR 34.46 - Supervision of radiographers' assistants.

    Science.gov (United States)

    2010-01-01

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

  13. 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…

  14. 28 CFR 2.207 - Supervision reports to Commission.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision reports to Commission. 2.207 Section 2.207 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT....207 Supervision reports to Commission. A regular supervision report shall be submitted to...

  15. 48 CFR 52.247-12 - Supervision, Labor, or Materials.

    Science.gov (United States)

    2010-10-01

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

  16. 28 CFR 810.1 - Supervision contact requirements.

    Science.gov (United States)

    2010-07-01

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

  17. Exploring Supervisor and Supervisee Experiences of Triadic Supervision

    Science.gov (United States)

    Derrick, Emily C.

    2010-01-01

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

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

    Science.gov (United States)

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

    2009-01-01

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

  19. Food Label and You

    Medline Plus

    Full Text Available ... Vaccines, Blood & Biologics Animal & Veterinary Cosmetics Tobacco Products Food Home Food Ingredients, Packaging & Labeling Labeling & Nutrition The Food Label and You — Video Share Tweet Linkedin Pin ...

  20. 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.

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

    Science.gov (United States)

    Samara, Akylina

    2006-01-01

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

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

    Science.gov (United States)

    Hull, Ray; Hansen, John

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

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

    Science.gov (United States)

    Samara, Akylina

    2006-01-01

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

  4. 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.

  5. Appreciative Perspectives on Supervision in Social Work

    Directory of Open Access Journals (Sweden)

    Elena UNGURU

    2017-06-01

    Full Text Available Supervision is considered to be an extremly important stage in the professional development of the specialists in the fields with asistential nature, such as: psychotherapy, coaching, personal development, counselling, etc. In Romania, the supervision of social services has become compulsory through the Order 288/2006. A great part of the content of standards for the case management, including those referred to supervision, namely to the theoretical and methodological development of some teachers, such as: Professor PhD Ştefan Cojocaru, Professor PhD Ana Muntean, Professor PhD Elena Zamfir. In this review, we will synthesize a part of Professor Ştefan Cojocaru’s contribution to the development of the field of appreciative supervision, as it is presented in the volume Appreciative methods in social work. Survey, supervision and case management, published with Polirom Publishing House in 2005. We will aim to also synthesize a series of echos of his work in the Romanian scientific literature.

  6. Deep Label Distribution Learning With Label Ambiguity

    Science.gov (United States)

    Gao, Bin-Bin; Xing, Chao; Xie, Chen-Wei; Wu, Jianxin; Geng, Xin

    2017-06-01

    Convolutional Neural Networks (ConvNets) have achieved excellent recognition performance in various visual recognition tasks. A large labeled training set is one of the most important factors for its success. However, it is difficult to collect sufficient training images with precise labels in some domains such as apparent age estimation, head pose estimation, multi-label classification and semantic segmentation. Fortunately, there is ambiguous information among labels, which makes these tasks different from traditional classification. Based on this observation, we convert the label of each image into a discrete label distribution, and learn the label distribution by minimizing a Kullback-Leibler divergence between the predicted and ground-truth label distributions using deep ConvNets. The proposed DLDL (Deep Label Distribution Learning) method effectively utilizes the label ambiguity in both feature learning and classifier learning, which help prevent the network from over-fitting even when the training set is small. Experimental results show that the proposed approach produces significantly better results than state-of-the-art methods for age estimation and head pose estimation. At the same time, it also improves recognition performance for multi-label classification and semantic segmentation tasks.

  7. Project Supervision – An Engineering Approach

    DEFF Research Database (Denmark)

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

    2011-01-01

    of their master thesis writing. The supervision principles are: Ownership: The student should feel that their project is their own. Ideally, they should formulate the project themselves. Write early: We strongly encourage the students to write and generate figures and images already from the first week......For more than twenty years, a group based supervision strategy has been used when supervising engineering bachelor- and master thesis students at our research group. In recent years, we have formalised the approach and used our industry experience to create a very successful framework for project...... at all meetings. Weekly meetings are scheduled to be at a specific day at a specific place for the entire process....

  8. Core ethical issues of clinical nursing supervision.

    Science.gov (United States)

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

    2005-03-01

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

  9. Guidelines for clinical supervision in health service psychology.

    Science.gov (United States)

    2015-01-01

    This document outlines guidelines for supervision of students in health service psychology education and training programs. The goal was to capture optimal performance expectations for psychologists who supervise. It is based on the premises that supervisors (a) strive to achieve competence in the provision of supervision and (b) employ a competency-based, meta-theoretical approach to the supervision process. The Guidelines on Supervision were developed as a resource to inform education and training regarding the implementation of competency-based supervision. The Guidelines on Supervision build on the robust literatures on competency-based education and clinical supervision. They are organized around seven domains: supervisor competence; diversity; relationships; professionalism; assessment/evaluation/feedback; problems of professional competence, and ethical, legal, and regulatory considerations. The Guidelines on Supervision represent the collective effort of a task force convened by the American Psychological Association (APA) Board of Educational Affairs (BEA). PsycINFO Database Record (c) 2015 APA, all rights reserved.

  10. Semi-Supervised Half-Quadratic Nonnegative Matrix Factorization for Face Recognition

    KAUST Repository

    Alghamdi, Masheal M.

    2014-05-01

    Face recognition is a challenging problem in computer vision. Difficulties such as slight differences between similar faces of different people, changes in facial expressions, light and illumination condition, and pose variations add extra complications to the face recognition research. Many algorithms are devoted to solving the face recognition problem, among which the family of nonnegative matrix factorization (NMF) algorithms has been widely used as a compact data representation method. Different versions of NMF have been proposed. Wang et al. proposed the graph-based semi-supervised nonnegative learning (S2N2L) algorithm that uses labeled data in constructing intrinsic and penalty graph to enforce separability of labeled data, which leads to a greater discriminating power. Moreover the geometrical structure of labeled and unlabeled data is preserved through using the smoothness assumption by creating a similarity graph that conserves the neighboring information for all labeled and unlabeled data. However, S2N2L is sensitive to light changes, illumination, and partial occlusion. In this thesis, we propose a Semi-Supervised Half-Quadratic NMF (SSHQNMF) algorithm that combines the benefits of S2N2L and the robust NMF by the half- quadratic minimization (HQNMF) algorithm.Our algorithm improves upon the S2N2L algorithm by replacing the Frobenius norm with a robust M-Estimator loss function. A multiplicative update solution for our SSHQNMF algorithmis driven using the half- 4 quadratic (HQ) theory. Extensive experiments on ORL, Yale-A and a subset of the PIE data sets for nine M-estimator loss functions for both SSHQNMF and HQNMF algorithms are investigated, and compared with several state-of-the-art supervised and unsupervised algorithms, along with the original S2N2L algorithm in the context of classification, clustering, and robustness against partial occlusion. The proposed algorithm outperformed the other algorithms. Furthermore, SSHQNMF with Maximum Correntropy

  11. A Semi-Supervised WLAN Indoor Localization Method Based on ℓ1-Graph Algorithm

    Institute of Scientific and Technical Information of China (English)

    Liye Zhang; Lin Ma; Yubin Xu

    2015-01-01

    For indoor location estimation based on received signal strength ( RSS ) in wireless local area networks ( WLAN) , in order to reduce the influence of noise on the positioning accuracy, a large number of RSS should be collected in offline phase. Therefore, collecting training data with positioning information is time consuming which becomes the bottleneck of WLAN indoor localization. In this paper, the traditional semi⁃supervised learning method based on k⁃NN andε⁃NN graph for reducing collection workload of offline phase are analyzed, and the result shows that the k⁃NN or ε⁃NN graph are sensitive to data noise, which limit the performance of semi⁃supervised learning WLAN indoor localization system. Aiming at the above problem, it proposes a ℓ1⁃graph⁃algorithm⁃based semi⁃supervised learning ( LG⁃SSL) indoor localization method in which the graph is built by ℓ1⁃norm algorithm. In our system, it firstly labels the unlabeled data using LG⁃SSL and labeled data to build the Radio Map in offline training phase, and then uses LG⁃SSL to estimate user’ s location in online phase. Extensive experimental results show that, benefit from the robustness to noise and sparsity ofℓ1⁃graph, LG⁃SSL exhibits superior performance by effectively reducing the collection workload in offline phase and improving localization accuracy in online phase.

  12. 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 data samples residing in a high-dimensional ambient space to a lower-dimensional domain in a structure-preserving way, while enhancing the separation between different classes in the learned embedding. Most nonlinear supervised manifold learning methods compute the embedding of the manifolds only at the initially available training points, while the generalization of the embedding to novel points, known as the out-of-sample extension problem in manifold learning, becomes especially important in classification applications. In this work, 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 (RBF) 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 a progressive procedure. 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.

  13. Incremental Supervised Subspace Learning for Face Recognition

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

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

  14. 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.)

  15. Supervised Learning in Multilayer Spiking Neural Networks

    CERN Document Server

    Sporea, Ioana

    2012-01-01

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

  16. Weakly supervised learning of a classifier for unusual event detection.

    Science.gov (United States)

    Jäger, Mark; Knoll, Christian; Hamprecht, Fred A

    2008-09-01

    In this paper, we present an automatic classification framework combining appearance based features and hidden Markov models (HMM) to detect unusual events in image sequences. One characteristic of the classification task is that anomalies are rare. This reflects the situation in the quality control of industrial processes, where error events are scarce by nature. As an additional restriction, class labels are only available for the complete image sequence, since frame-wise manual scanning of the recorded sequences for anomalies is too expensive and should, therefore, be avoided. The proposed framework reduces the feature space dimension of the image sequences by employing subspace methods and encodes characteristic temporal dynamics using continuous hidden Markov models (CHMMs). The applied learning procedure is as follows. 1) A generative model for the regular sequences is trained (one-class learning). 2) The regular sequence model (RSM) is used to locate potentially unusual segments within error sequences by means of a change detection algorithm (outlier detection). 3) Unusual segments are used to expand the RSM to an error sequence model (ESM). The complexity of the ESM is controlled by means of the Bayesian Information Criterion (BIC). The likelihood ratio of the data given the ESM and the RSM is used for the classification decision. This ratio is close to one for sequences without error events and increases for sequences containing error events. Experimental results are presented for image sequences recorded from industrial laser welding processes. We demonstrate that the learning procedure can significantly reduce the user interaction and that sequences with error events can be found with a small false positive rate. It has also been shown that a modeling of the temporal dynamics is necessary to reach these low error rates.

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

    Directory of Open Access Journals (Sweden)

    MEDAR LUCIAN-ION

    2013-12-01

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

  18. Comparative pharmacokinetics and tolerability of branded etanercept (25 mg) and its biosimilar (25 mg): a randomized, open-label, single-dose, two-sequence, crossover study in healthy Korean male volunteers.

    Science.gov (United States)

    Gu, Namyi; Yi, Sojeong; Kim, Tae-Eun; Kim, Jaewoo; Shin, Sang-Goo; Jang, In-Jin; Yu, Kyung-Sang

    2011-12-01

    The biosimilar is a recombinant dimeric tumor necrosis factor receptor (TNFR) under development for the treatment of rheumatoid arthritis. The aim of this study was to compare the pharmacokinetics and/or tolerability of branded etanercept and its biosimilar in healthy Korean men before investigating the clinical efficacy of the biosimilar in subjects. Etanercept (reference, 25 mg) or its biosimilar (test, 25 mg) was subcutaneously injected to the periumbilical area of healthy volunteers in a randomized, open-label, single-dose, active-controlled, two-sequence, crossover study. Plasma concentrations of TNFR in serial blood samples for 480 hours after dosing were measured by ELISA. The primary outcome, pharmacokinetic characteristics, was assessed via geometric mean ratios (GMRs) of the log-transformed pharmacokinetic parameters. The second outcome, tolerability, was evaluated using physical examinations, electrocardiograms, clinical laboratory tests, vital sign measurements, and adverse events (AEs) by unmasked investigators. Twenty-three men of mean age (%CV) 25.8 years (17.1%) and weight 70.5 kg (12.8%) were administered study medication. Four subjects dropped out after the first period; their data were included in the analysis. Both test and reference drugs were absorbed with a median T(max) of 72 (range, 36-144) hours and eliminated with mean (%CV) t(½) of 92.7 (20.9%) and 87.4 (16.6%) hours, respectively. The GMRs (90% CIs) of the test to reference drug for C(max), AUC(0-t), and AUC(0-∞) were 0.99 (0.83-1.17), 0.95 (0.79-1.13), and 0.95 (0.80-1.13), respectively. Eleven of 21 (52.4%) and 8 of 21 (38.1%) subjects administered the test and reference drugs reported 22 and 21 AEs, respectively. Common AEs were headache (14.3%), throat irritation (8.5%), and epistaxis (9.5%). Three serious AEs related to a traffic accident (back, neck, and musculoskeletal pain) were reported in a test drug-treated subject. In this select group of Korean healthy male volunteers

  19. Comparisons of the pharmacokinetics and tolerability of fixed-dose combinations of amlodipine besylate/losartan and amlodipine camsylate/losartan in healthy subjects: a randomized, open-label, single-dose, two-period, two-sequence crossover study

    Science.gov (United States)

    Choi, YoonJung; Lee, SeungHwan; Cho, Sang-Min; Kang, Won-Ho; Nam, Kyu-Yeol; Jang, In-Jin; Yu, Kyung-Sang

    2016-01-01

    Background A fixed-dose combination (FDC) of amlodipine and losartan has been used to reduce blood pressure in patients whose hypertension is not sufficiently controlled with either drug alone. The aim of this study was to evaluate the pharmacokinetic (PK) characteristics and tolerability of an FDC of 6.94 mg amlodipine besylate (5 mg as amlodipine)/50 mg losartan potassium compared to an FDC of 5 mg amlodipine camsylate/50 mg losartan potassium in healthy subjects. Subjects and methods A randomized, open-label, single-dose, two-period, two-sequence crossover study was conducted on 46 healthy male subjects. Blood concentrations were measured by liquid chromatography–tandem mass spectrometry. Blood samples were collected up to 144 hours post dose for each period. PK parameters were calculated in each treatment group using a noncompartmental method. The 90% confidence intervals (CIs) of the geometric mean ratios of the two treatments for the maximum plasma concentration (Cmax) and the area under the concentration curve from time zero to the last quantifiable time point (AUC0–t) were estimated. Tolerability assessments were performed for all subjects who received the drug at least once. Results The PK profiles of the two treatments were similar. For amlodipine, the geometric mean ratios (90% CIs) of amlodipine besylate to amlodipine camsylate for the Cmax and AUC0–t were 0.98 (0.94−1.01) and 0.97 (0.93−1.01), respectively. The corresponding values for losartan were 0.91 (0.81−1.02) and 1.05 (0.98−1.12), respectively. The incidence of adverse events was not significantly different between the two treatments, and both were well tolerated. Conclusion An FDC of 6.94 mg amlodipine besylate (5 mg as amlodipine)/50 mg losartan potassium produced similar results to an FDC of 5 mg amlodipine camsylate/50 mg losartan potassium treatment with respect to the PK parameters of amlodipine and losartan based on Cmax and AUC0–t values. The amlodipine besylate

  20. PHARMACOKINETIC AND BIOEQUIVALENCE COMPARISON BETWEEN EXTENDED RELEASE CAPSULES OF VENLAFAXINE HYDROCHLORIDE 150MG: AN OPEN LABEL, BALANCED, RANDOMIZED-SEQUENCE, SINGLE-DOSE, TWO-PERIOD CROSSOVER STUDY IN HEALTHY INDIAN MALE VOLUNTEERS

    Directory of Open Access Journals (Sweden)

    I.Sarath chandiran

    2011-03-01

    Full Text Available This bioequivalence study was designed to determine the pharmacokinetic, bioavailability and bioequivalence of Venlafaxine HCl 150 mg Extended Release Capsules in comparison with Effexor®-XR 150mg Extended Release Capsules after single dose administration under fed conditions in 20 healthy adult male subjects. Therefore the design of an open label, balanced, randomized, two-sequence, single dose, two way crossover study with a washout period of at least 7 days was used.Each volunteer received a 150 mg capsule of the reference or test drug respectively. On the day of dosing, blood samples were collected before dosing and at various time points up to 72 hours after dosing. Analysis of venlafaxine and its metabolite O-Desmethylvenlafaxine concentrations was performed using a validated liquid chromatography with tandem mass spectrometry (LC-MS/MS method. The pharmacokinetic parameters including Cmax, AUC0-t, AUC0-inf, Tmax, t1/2 and Kel were analyzed using the non-compartmental model. Drug safety and tolerability were assessed.The pharmacokinetic parameters including Cmax, AUC0-t, AUC0-inf, Tmax, t1/2 and Kel were analyzed using the non-compartmental model. Drug safety and tolerability were assessed. The primary pharmacokinetic parameters (Cmax, AUC0-t and AUC0-inf 90%CI were within the 80 to 125% interval required for bioequivalence as stipulated in the current regulations of the USFDA acceptance criteria. The geometric mean ratios (Test/Reference between the two products of extended-release venlafaxine capsule under fed condition were 104.91% (92.86%-118.53% and 114.41% (103.43%-124.55% for Cmax ratios, 102.24% (95.95%-108.94% and 105.27% (96.76%-114.53% for AUC0-t ratios and 101.66% (95.73%-107.97% and 104.71% (96.13%-114.05% for AUC0-inf ratios of Venlafaxine and its metabolite O-Desmethylvenlafaxine (ODV respectively. 20 volunteers had completed both treatment periods. There was no significant difference of the Tmax parameter between the two

  1. Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset

    CERN Document Server

    Johnston, Kyle B

    2016-01-01

    With the advent of digital astronomy, new benefits and new problems have been presented to the modern day astronomer. While data can be captured in a more efficient and accurate manor using digital means, the efficiency of data retrieval has led to an overload of scientific data for processing and storage. This paper will focus on the construction and application of a supervised pattern classification algorithm for the identification of variable stars. Given the reduction of a survey of stars into a standard feature space, the problem of using prior patterns to identify new observed patterns can be reduced to time tested classification methodologies and algorithms. Such supervised methods, so called because the user trains the algorithms prior to application using patterns with known classes or labels, provide a means to probabilistically determine the estimated class type of new observations. This paper will demonstrate the construction and application of a supervised classification algorithm on variable sta...

  2. Semi-supervised Learning for Classification of Polarimetric SAR Images Based on SVM-Wishart

    Directory of Open Access Journals (Sweden)

    Hua Wen-qiang

    2015-02-01

    Full Text Available In this study, we propose a new semi-supervised classification method for Polarimetric SAR (PolSAR images, aiming at handling the issue that the number of train set is small. First, considering the scattering characters of PolSAR data, this method extracts multiple scattering features using target decomposition approach. Then, a semi-supervised learning model is established based on a co-training framework and Support Vector Machine (SVM. Both labeled and unlabeled data are utilized in this model to obtain high classification accuracy. Third, a recovery scheme based on the Wishart classifier is proposed to improve the classification performance. From the experiments conducted in this study, it is evident that the proposed method performs more effectively compared with other traditional methods when the number of train set is small.

  3. Semi-Supervised Clustering Fingerprint Positioning Algorithm Based on Distance Constraints

    Institute of Scientific and Technical Information of China (English)

    Ying Xia; Zhongzhao Zhang; Lin Ma; Yao Wang

    2015-01-01

    With the rapid development of WLAN ( Wireless Local Area Network ) technology, an important target of indoor positioning systems is to improve the positioning accuracy while reducing the online computation. In this paper, it proposes a novel fingerprint positioning algorithm known as semi⁃supervised affinity propagation clustering based on distance function constraints. We show that by employing affinity propagation techniques, it is able to use a fractional labeled data to adjust similarity matrix of signal space to cluster reference points with high accuracy. The semi⁃supervised APC uses a combination of machine learning, clustering analysis and fingerprinting algorithm. By collecting data and testing our algorithm in a realistic indoor WLAN environment, the experimental results indicate that the proposed algorithm can improve positioning accuracy while reduce the online localization computation, as compared with the widely used K nearest neighbor and maximum likelihood estimation algorithms.

  4. 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.

  5. On Restraint of and Supervision over Power

    Institute of Scientific and Technical Information of China (English)

    DONG YUNHU

    2007-01-01

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

  6. Peer Supervision: Toward More Effective Training.

    Science.gov (United States)

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

    1979-01-01

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

  7. Case Studies in Middle Management Supervision

    Science.gov (United States)

    White, Lori S.

    2011-01-01

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

  8. 19 CFR 111.28 - Responsible supervision.

    Science.gov (United States)

    2010-04-01

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

  9. Magazine Picture Collage in Group Supervision

    Science.gov (United States)

    Shepard, Blythe C.; Guenette, Francis L.

    2010-01-01

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

  10. 19 CFR 19.34 - Customs supervision.

    Science.gov (United States)

    2010-04-01

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

  11. Cybersupervision: Conducting Supervision on the Information Superhighway.

    Science.gov (United States)

    Coursol, Diane

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

  12. 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…

  13. 27 CFR 24.30 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Supervision. 24.30 Section 24.30 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Administrative and Miscellaneous Provisions Authorities § 24.30...

  14. Remote Video Supervision in Adapted Physical Education

    Science.gov (United States)

    Kelly, Luke; Bishop, Jason

    2013-01-01

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

  15. Spirituality and School Counselor Education and Supervision

    Science.gov (United States)

    Gallo, Laura L.

    2014-01-01

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

  16. 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.

  17. Computer Monitor Supervision: A Clinical Note.

    Science.gov (United States)

    Scherl, Charles R.; Haley, Jay

    2000-01-01

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

  18. Computer Monitor Supervision: A Clinical Note.

    Science.gov (United States)

    Scherl, Charles R.; Haley, Jay

    2000-01-01

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

  19. Enhancing Adult Learning in Clinical Supervision

    Science.gov (United States)

    Goldman, Stuart

    2011-01-01

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

  20. Supervision That Improves Teaching: Strategies and Techniques.

    Science.gov (United States)

    Sullivan, Susan; Glanz, Jeffrey

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

  1. Instructional Supervision: The Policy-Practice Rift.

    Science.gov (United States)

    Tunison, Scott D.

    2001-01-01

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

  2. On Training Targets for Supervised Speech Separation

    Science.gov (United States)

    Wang, Yuxuan; Narayanan, Arun; Wang, DeLiang

    2014-01-01

    Formulation of speech separation as a supervised learning problem has shown considerable promise. In its simplest form, a supervised learning algorithm, typically a deep neural network, is trained to learn a mapping from noisy features to a time-frequency representation of the target of interest. Traditionally, the ideal binary mask (IBM) is used as the target because of its simplicity and large speech intelligibility gains. The supervised learning framework, however, is not restricted to the use of binary targets. In this study, we evaluate and compare separation results by using different training targets, including the IBM, the target binary mask, the ideal ratio mask (IRM), the short-time Fourier transform spectral magnitude and its corresponding mask (FFT-MASK), and the Gammatone frequency power spectrum. Our results in various test conditions reveal that the two ratio mask targets, the IRM and the FFT-MASK, outperform the other targets in terms of objective intelligibility and quality metrics. In addition, we find that masking based targets, in general, are significantly better than spectral envelope based targets. We also present comparisons with recent methods in non-negative matrix factorization and speech enhancement, which show clear performance advantages of supervised speech separation. PMID:25599083

  3. Making Supervision Relationships Accountable: Graduate Student Logs.

    Science.gov (United States)

    Yeatman, Anna

    1995-01-01

    Graduate student journals of research projects and their supervision are suggested as a means of structuring the supervisory process, making it more accountable, and facilitating students' successful completion of their academic and research tasks. However, the method also requires skill in successful thesis production on the supervisor's part.…

  4. How to Supervise a Ph.D.

    Science.gov (United States)

    Connell, R. W.

    1985-01-01

    A discussion of the process and problems of supervising a doctoral candidate examines the nature of the task and relationship, the stages of research (defining the topic, design, gathering material, writing, defense, and dissemination), criticism and intellectual growth, and references and sponsorship. (MSE)

  5. Parallelprocesser og deres tilblivelse i supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2006-01-01

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

  6. Exploring Principals' Perceptions of Supervised Agricultural Experience

    Science.gov (United States)

    Rayfield, John; Wilson, Elizabeth

    2009-01-01

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

  7. A Social Reconstruction Model of Supervision.

    Science.gov (United States)

    Seda, E. Elliott

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

  8. 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.

  9. Bioequivalence of two film-coated tablets of imatinib mesylate 400 mg: a randomized, open-label, single-dose, fasting, two-period, two-sequence crossover comparison in healthy male South American volunteers.

    Science.gov (United States)

    Parrillo-Campiglia, Susana; Ercoli, Mónica Cedres; Umpierrez, Ofelia; Rodríguez, Patricia; Márquez, Sara; Guarneri, Carolina; Estevez-Parrillo, Francisco T; Laurenz, Marilena; Estevez-Carrizo, Francisco E

    2009-10-01

    Imatinib is a tyrosine kinase inhibitor that has been established as a highly effective therapy for chronic myelogenous leukemia and gastrointestinal stromal tumors. A new generic, once-daily 400-mg tablet of imatinib has been developed by a pharmaceutical company in Argentina, where the regulatory standard for marketing authorization of an imatinib generic is in vitro dissolution testing. The aim of this study was to assess the bioequivalence of a new generic film-coated test tablet formulation versus a film-coated reference tablet formulation of imatinib 400 mg. The local manufacturer seeks to validate the in vitro performance of this new formulation with a bioequivalence study. A randomized, open-label, single-dose, fasting, 2-period, 2-sequence crossover design with a 2-week washout period was used in this study. The study population consisted of healthy male South American (Uruguayan) volunteers, who were assigned in a 1:1 ratio to a randomized sequence (test-reference or reference-test). In each period, the test or reference formulation was administered after an overnight fast. During the 72-hour follow-up period, participants were monitored for vital signs and symptoms. Blood samples were collected at 15 time points, including baseline, until 72 hours. Physical examination and laboratory tests (blood, urine) were repeated 1 week after study completion. A noncompartmental model was used to determine the pharmacokinetic parameters of imatinib. The 90% CIs of the test/reference ratios for AUC(0-infinity) and C(max) were determined; the test and reference formulations were considered bioequivalent if the 90% CIs were between 0.80 and 1.25. Adverse events were assessed by a nurse who administered a questionnaire while the healthy volunteers were admitted in the unit. The bioequivalence study was conducted in 30 Uruguayan male volunteers. Demographic characteristics (mean [SD]) included age, 27.8 (6.5) years; weight, 71.2 (9.8) kg; height, 1.71 (0.09) m; and body

  10. Relative bioavailability of two formulations of nevirapine 200-mg tablets in healthy Chinese male volunteers: a single-dose, randomized-sequence, open-label, two-way crossover study.

    Science.gov (United States)

    Zhu, Yubing; Zhang, Qian; Yu, Cuixia; Zou, Jianjun; Yang, Xiaohong; Hu, Yunfang

    2010-12-01

    Nevirapine was the first member of the nonnucleoside reverse transcriptase inhibitor class to be approved for the treatment of HIV infection. It binds directly to the allosteric site on the reverse transcriptase and inhibits the activity of both RNA- and DNA-dependent DNA polymerases. This study compared the pharmacokinetics and relative bioavailability of a test and reference formulation of nevirapine 200-mg tablets after single oral doses in healthy Chinese men to meet regulatory criteria for marketing of the new generic formulation. This single-dose, randomized-sequence, open-label, 2-way crossover study was conducted at the Nanjing First Hospital of Nanjing Medical University, Nanjing, China. Healthy male Chinese volunteers were randomized in a 1∶1 ratio to receive a single 200-mg (3.2-mg/kg) tablet of the test or reference formulation, followed by a 2-week washout period and administration of the alternate formulation. The study drugs were administered after a 10-hour overnight fast. Concentrations of nevirapine were assayed using an HPLC-UV method. For analysis of nevirapine pharmacokinetic parameters, blood samples were obtained before dosing and at regularly scheduled intervals over 168 hours after administration. The 2 formulations would be assumed to be bioequivalent for regulatory purposes if the 90% CIs for the log-transformed ratios of nevirapine AUC and C(max) were within the range established by the US Food and Drug Administration (0.80-1.25). Tolerability was evaluated throughout the study based on vital signs, physical examinations, 12-lead ECGs, and subject interviews concerning adverse events (AEs). Twenty Chinese male subjects were enrolled in and completed the study. Their mean age was 23 years (range, 21-25 years), mean weight was 63 kg (range, 56-70 kg), and mean height was 171 cm (range, 166-176 cm). No period or sequence effect was observed. The mean (SD) t(½) was 38.12 (2.23) hours for the test tablet and 36.79 (5.06) hours for the

  11. Relative bioavailability of generic and branded acetylcysteine effervescent tablets: A single-dose, open-label, randomized-sequence, two-period crossover study in fasting healthy Chinese male volunteers.

    Science.gov (United States)

    Liu, Yan-Mei; Liu, Yun; Lu, Chuan; Jia, Jing-Ying; Liu, Gang-Yi; Weng, Li-Ping; Wang, Jia-Yan; Li, Guo-Xiu; Wang, Wei; Li, Shui-Jun; Yu, Chen

    2010-11-01

    Acetylcysteine may be used as a muco- lytic agent for the treatment of chronic bronchitis, chronic obstructive pulmonary disease, and other pulmonary diseases complicated by the production of viscous mucus. However, little is known of its pharmacokinetic properties when given orally in healthy volunteers, particularly in a Chinese Han population. This study was conducted to provide support for the marketing of a generic product in China. The purpose of this study was to compare the pharmacokinetics and relative bioavailability of a generic test formulation and a branded reference formulation of acetylcysteine in fasting healthy Chinese male volunteers. A single-dose, open-label, randomized-sequence, 2-period crossover design with a 7-day washout period between doses was used in this study. Healthy Chinese male nonsmokers aged 18 to 40 years with a body mass index (BMI) of 19 to 25 kg/m(2) were selected. Eligible volunteers were randomly assigned to receive acetylcysteine 600 mg PO as either the test formulation (3 tablets of 200 mg each) or reference formulation (1 tablet of 600 mg) under fasting conditions. A total of 15 serial blood samples were collected over a 24-hour interval, and total plasma acetylcysteine concentrations were analyzed by a validated liquid chromatography-isotopic dilution mass spectrometry method. Pharmacokinetic parameters (C(max), T(max), t(½) AUC(0-t), and AUC(0-∞) were calculated and analyzed statistically. The 2 formulations were considered bioequivalent if the 90% CIs of the log-transformed ratios (test/reference) of C(max) and AUC were within the predetermined bioequivalence ranges (70%-143% for C(max); 80%-125% for AUC), as established by the State Food and Drug Administration of China. Tolerability was determined by vital signs, clinical laboratory tests, 12-lead ECGs, physical examinations, and interviews with the subjects about adverse events (AEs). A total of 24 healthy Chinese Han male volunteers were enrolled in and

  12. Multilabel image classification via high-order label correlation driven active learning.

    Science.gov (United States)

    Zhang, Bang; Wang, Yang; Chen, Fang

    2014-03-01

    Supervised machine learning techniques have been applied to multilabel image classification problems with tremendous success. Despite disparate learning mechanisms, their performances heavily rely on the quality of training images. However, the acquisition of training images requires significant efforts from human annotators. This hinders the applications of supervised learning techniques to large scale problems. In this paper, we propose a high-order label correlation driven active learning (HoAL) approach that allows the iterative learning algorithm itself to select the informative example-label pairs from which it learns so as to learn an accurate classifier with less annotation efforts. Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to example-label pair; 2) different labels are seldom independent, and label correlations provide critical information for efficient learning; 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning; and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining method is required to discover informative label correlations. The proposed approach is tested on public data sets, and the empirical results demonstrate its effectiveness.

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

    NARCIS (Netherlands)

    Breevaart, Kimberley; Vries, de Reinout E.

    2017-01-01

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

  14. Rules for Supervision and Inspection of Offshore Oil Industry

    Institute of Scientific and Technical Information of China (English)

    Dai Zhongliang; Song Lisong

    1994-01-01

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

  15. Synthesis and Application of Four Fluorescence Labeled Nucleotides Through Disulfide as Reversible Terminators in DNA Sequencing by Synthesis%四色荧光标记二硫键可逆终端的合成及在DNA合成测序中的应用

    Institute of Scientific and Technical Information of China (English)

    汤道年; 江敏; 李小卫; 康亚妮; 伍新燕; 龚兵; 邵志峰; 赵小东; 沈玉梅

    2014-01-01

    分别以5-碘-2'-脱氧尿苷、5-碘-2'-脱氧胞苷、7-去氮-7-碘-2'-脱氧腺苷及7-去氮-7-碘-2'-脱氧鸟苷为原料,以二硫键为可裂解连接单元,通过多步反应合成了四色荧光标记不同碱基的脱氧核糖核苷酸;研究了该类荧光标记核苷酸作为可逆终端在DNA合成测序中的应用。所得产物结构经1 H NMR,31 P NMR及HRMS表征,并对其进行了DNA高通量测序的测试。结果表明,该类荧光标记核苷酸作为DNA合成测序的可逆终端能够满足高通量测序的生化反应要求,具有较好的应用前景。%DNA sequencing is one of the important means of biological research. The development of accurate and high-throughput DNA-sequencing methods has a strong impact on biomedical research. Sequencing by synthesis( SBS) approaches is one of the most important techniques of DNA sequencing. A series of SBS methods have been investigated and implemented. In SBS methods, the principal thing is to synthesize four fluorescently labelled cyclic reversible terminators as the sequencing reagents. These cyclic reversible termina-tors need to connect the fluorescein through a cleavable linker. In chemical biology, disulfide bridges, which are known to be efficiently and rapidly cleaved by mild reducing agents, have been used in a wide range of ap-plications including drug delivery, functional and structural proteomics, DNA and tumor imaging. The disul-fide-based cleavable linker is commonly used due to its rapid cleavage and straightforward synthesis. In this work, starting from 5-iodo-2'-deoxyuridine, 5-iodo-2'-deoxycyridine, 7-deazo-7-iodo-2'-deoxyadenosine and 7-deazo-7-iodo-2'-deoxyguanosine, four kinds of fluorescence labelled necleotides with four different bases through disulfide were synthesized and characterized. The synthesized fluorescence labelled nucleotides can be recognized and accepted by an identified DNA polymerase, incorporated faithfully into DNA strand, followed by

  16. Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data

    OpenAIRE

    Kurth, Thorsten; Zhang, Jian; Satish, Nadathur; Mitliagkas, Ioannis; Racah, Evan; Patwary, Mostofa Ali; Malas, Tareq; Sundaram, Narayanan; Bhimji, Wahid; Smorkalov, Mikhail; Deslippe, Jack; Shiryaev, Mikhail; Sridharan, Srinivas; Prabhat; Dubey, Pradeep

    2017-01-01

    This paper presents the first, 15-PetaFLOP Deep Learning system for solving scientific pattern classification problems on contemporary HPC architectures. We develop supervised convolutional architectures for discriminating signals in high-energy physics data as well as semi-supervised architectures for localizing and classifying extreme weather in climate data. Our Intelcaffe-based implementation obtains $\\sim$2TFLOP/s on a single Cori Phase-II Xeon-Phi node. We use a hybrid strategy employin...

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

    Science.gov (United States)

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

    2014-08-01

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

  18. Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

    Science.gov (United States)

    Cao, Peng; Liu, Xiaoli; Bao, Hang; Yang, Jinzhu; Zhao, Dazhe

    2015-01-01

    The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these challenges, we propose oversampling and semi-supervised learning methods based on the restricted Boltzmann machines (RBMs) to solve the classification of imbalanced data with a few labeled samples. To evaluate the proposed method, we conducted a comprehensive performance study and compared its results with the commonly used techniques. Experiments on benchmark dataset of DDSM demonstrate the effectiveness of the RBMs based oversampling and semi-supervised learning method in terms of geometric mean (G-mean) for false positive reduction in Breast CAD.

  19. Leveraging Structure to Improve Classification Performance in Sparsely Labeled Networks

    Energy Technology Data Exchange (ETDEWEB)

    Gallagher, B; Eliassi-Rad, T

    2007-10-22

    We address the problem of classification in a partially labeled network (a.k.a. within-network classification), with an emphasis on tasks in which we have very few labeled instances to start with. Recent work has demonstrated the utility of collective classification (i.e., simultaneous inferences over class labels of related instances) in this general problem setting. However, the performance of collective classification algorithms can be adversely affected by the sparseness of labels in real-world networks. We show that on several real-world data sets, collective classification appears to offer little advantage in general and hurts performance in the worst cases. In this paper, we explore a complimentary approach to within-network classification that takes advantage of network structure. Our approach is motivated by the observation that real-world networks often provide a great deal more structural information than attribute information (e.g., class labels). Through experiments on supervised and semi-supervised classifiers of network data, we demonstrate that a small number of structural features can lead to consistent and sometimes dramatic improvements in classification performance. We also examine the relative utility of individual structural features and show that, in many cases, it is a combination of both local and global network structure that is most informative.

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

    Science.gov (United States)

    Locke, Lisa D.; McCollum, Eric E.

    2001-01-01

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

  1. Supervising development in petroleum industry of the Russian Federation

    OpenAIRE

    Sizov, Aleksey Valentinovich; Tretyakov, Konstantin Nikolaevich; Boyarko, Grigory Yurievich; Shenderova, Inna Vladimirovna; Shakirov, A.

    2015-01-01

    Supervising has strongly consolidated in the domestic petroleum services market of the Russian Federation. But despite the rapid growth of the supervising services market, there is a definite need for its further development. In the article, the developments of supervising in petroleum industry of the Russian Federation, as well as possible ways of its improvement are considered.

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

    Science.gov (United States)

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

    2009-01-01

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

  3. 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…

  4. Style and Quality in Research Supervision: The Supervisor Dependency Factor.

    Science.gov (United States)

    Kam, Booi Hon

    1997-01-01

    A survey of 250 graduate research students examined the extent of dependency on supervisors in a range of research-related tasks, and how that dependency affected the research supervision process. Results suggest appropriate research supervision has no set prescription, but interactions among quality and style of supervision, role expectations of…

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

    Science.gov (United States)

    Zeira, Anat; Schiff, Miriam

    2010-01-01

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

  6. 18 CFR 367.9110 - Account 911, Supervision.

    Science.gov (United States)

    2010-04-01

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

  7. 28 CFR 2.95 - Early termination from supervision.

    Science.gov (United States)

    2010-07-01

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

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

    Science.gov (United States)

    Zeira, Anat; Schiff, Miriam

    2010-01-01

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

  9. 25 CFR 213.43 - Relinquishment of Government supervision.

    Science.gov (United States)

    2010-04-01

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

  10. 48 CFR 32.503-2 - Supervision of progress payments.

    Science.gov (United States)

    2010-10-01

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

  11. 34 CFR 303.501 - Supervision and monitoring of programs.

    Science.gov (United States)

    2010-07-01

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

  12. 7 CFR 27.73 - Supervision of transfers of cotton.

    Science.gov (United States)

    2010-01-01

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

  13. 28 CFR 570.44 - Supervision and restraint requirements.

    Science.gov (United States)

    2010-07-01

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

  14. 18 CFR 367.9070 - Account 907, Supervision.

    Science.gov (United States)

    2010-04-01

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

  15. 49 CFR 237.133 - Supervision of repairs and modifications.

    Science.gov (United States)

    2010-10-01

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

  16. 48 CFR 852.236-78 - Government supervision.

    Science.gov (United States)

    2010-10-01

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

  17. 7 CFR 27.80 - Fees; classification, Micronaire, and supervision.

    Science.gov (United States)

    2010-01-01

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

  18. 46 CFR 380.23 - Supervision of records.

    Science.gov (United States)

    2010-10-01

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

  19. 18 CFR 367.9010 - Account 901, Supervision.

    Science.gov (United States)

    2010-04-01

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

  20. 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...

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

    Science.gov (United States)

    2010-07-01

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

  2. 34 CFR 300.149 - SEA responsibility for general supervision.

    Science.gov (United States)

    2010-07-01

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

  3. 7 CFR 58.6 - Supervision of service.

    Science.gov (United States)

    2010-01-01

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

  4. 7 CFR 27.16 - Inspection; weighing; samples; supervision.

    Science.gov (United States)

    2010-01-01

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

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

    Science.gov (United States)

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

    2011-01-01

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

  6. 30 CFR 250.1616 - Supervision, surveillance, and training.

    Science.gov (United States)

    2010-07-01

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

  7. 12 CFR 905.13 - Office of Supervision.

    Science.gov (United States)

    2010-01-01

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

  8. 27 CFR 19.970 - Supervision of operations.

    Science.gov (United States)

    2010-04-01

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

  9. 7 CFR 1944.665 - Supervision and inspection of work.

    Science.gov (United States)

    2010-01-01

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

  10. 33 CFR 326.4 - Supervision of authorized activities.

    Science.gov (United States)

    2010-07-01

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

  11. Higher Degree Research Supervision: From Practice toward Theory

    Science.gov (United States)

    Maxwell, T. W.; Smyth, Robyn

    2011-01-01

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

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

    Science.gov (United States)

    Koltz, Rebecca L.

    2008-01-01

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

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

    Science.gov (United States)

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

    2014-01-01

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

  14. 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…

  15. 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…

  16. 19 CFR 19.38 - Supervision of exportation.

    Science.gov (United States)

    2010-04-01

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

  17. Facial Action Unit Recognition under Incomplete Data Based on Multi-label Learning with Missing Labels

    KAUST Repository

    Li, Yongqiang

    2016-07-07

    Facial action unit (AU) recognition has been applied in a wild range of fields, and has attracted great attention in the past two decades. Most existing works on AU recognition assumed that the complete label assignment for each training image is available, which is often not the case in practice. Labeling AU is expensive and time consuming process. Moreover, due to the AU ambiguity and subjective difference, some AUs are difficult to label reliably and confidently. Many AU recognition works try to train the classifier for each AU independently, which is of high computation cost and ignores the dependency among different AUs. In this work, we formulate AU recognition under incomplete data as a multi-label learning with missing labels (MLML) problem. Most existing MLML methods usually employ the same features for all classes. However, we find this setting is unreasonable in AU recognition, as the occurrence of different AUs produce changes of skin surface displacement or face appearance in different face regions. If using the shared features for all AUs, much noise will be involved due to the occurrence of other AUs. Consequently, the changes of the specific AUs cannot be clearly highlighted, leading to the performance degradation. Instead, we propose to extract the most discriminative features for each AU individually, which are learned by the supervised learning method. The learned features are further embedded into the instance-level label smoothness term of our model, which also includes the label consistency and the class-level label smoothness. Both a global solution using st-cut and an approximated solution using conjugate gradient (CG) descent are provided. Experiments on both posed and spontaneous facial expression databases demonstrate the superiority of the proposed method in comparison with several state-of-the-art works.

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

    Science.gov (United States)

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

    2016-10-01

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

  19. Pesticide Product Label System

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Pesticide Product Label System (PPLS) provides a collection of pesticide product labels (Adobe PDF format) that have been approved by EPA under Section 3 of the...

  20. Food Label and You

    Medline Plus

    Full Text Available ... has issued final changes to update the Nutrition Facts label for packaged foods. For more information, see Changes to the Nutrition Facts Label . FDA presents an entertaining and educational tool ...

  1. Semiotic labelled deductive systems

    Energy Technology Data Exchange (ETDEWEB)

    Nossum, R.T. [Imperial College of Science, Technology and Medicine, London (United Kingdom)

    1996-12-31

    We review the class of Semiotic Models put forward by Pospelov, as well as the Labelled Deductive Systems developed by Gabbay, and construct an embedding of Semiotic Models into Labelled Deductive Systems.

  2. Electronic Submission of Labels

    Science.gov (United States)

    Pesticide registrants can provide draft and final labels to EPA electronically for our review as part of the pesticide registration process. The electronic submission of labels by registrants is voluntary but strongly encouraged.

  3. Mental Labels and Tattoos

    Science.gov (United States)

    Hyatt, I. Ralph

    1977-01-01

    Discusses the ease with which mental labels become imprinted in our system, six basic axioms for maintaining negative mental tattoos, and psychological processes for eliminating mental tattoos and labels. (RK)

  4. A Label to Regulate

    DEFF Research Database (Denmark)

    Tricoire, Aurélie; Boxenbaum, Eva; Laurent, Brice

    This paper examines the role labelling plays in the government of the contemporary economy.1Drawing on a detailed study of BBC-Effinergy, a French label for sustainable construction, we showhow the adoption and evolution of voluntary labels can be seen as emblematic of a governmentthrough experim...... experiment engaging 4 operations: stimulating market anticipations, focussing politicalconsultations, producing collective expertise and containing the regulatory transcription of the label....

  5. Comparisons of the pharmacokinetics and tolerability of fixed-dose combinations of amlodipine besylate/losartan and amlodipine camsylate/losartan in healthy subjects: a randomized, open-label, single-dose, two-period, two-sequence crossover study

    Directory of Open Access Journals (Sweden)

    Choi Y

    2016-09-01

    Full Text Available YoonJung Choi,1 SeungHwan Lee,2 Sang-Min Cho,3 Won-Ho Kang,3 Kyu-Yeol Nam,4 In-Jin Jang,1 Kyung-Sang Yu1 1Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, 2Clinical Trials Center, Seoul National University Hospital, 3Research Institute, 4Global R&D, Korea United Pharm Inc., Seoul, Republic of Korea Background: A fixed-dose combination (FDC of amlodipine and losartan has been used to reduce blood pressure in patients whose hypertension is not sufficiently controlled with either drug alone. The aim of this study was to evaluate the pharmacokinetic (PK characteristics and tolerability of an FDC of 6.94 mg amlodipine besylate (5 mg as amlodipine/50 mg losartan potassium compared to an FDC of 5 mg amlodipine camsylate/50 mg losartan potassium in healthy subjects. Subjects and methods: A randomized, open-label, single-dose, two-period, two-sequence crossover study was conducted on 46 healthy male subjects. Blood concentrations were measured by liquid chromatography–tandem mass spectrometry. Blood samples were collected up to 144 hours post dose for each period. PK parameters were calculated in each treatment group using a noncompartmental method. The 90% confidence intervals (CIs of the geometric mean ratios of the two treatments for the maximum plasma concentration (Cmax and the area under the concentration curve from time zero to the last quantifiable time point (AUC0–t were estimated. Tolerability assessments were performed for all subjects who received the drug at least once. Results: The PK profiles of the two treatments were similar. For amlodipine, the geometric mean ratios (90% CIs of amlodipine besylate to amlodipine camsylate for the Cmax and AUC0–t were 0.98 (0.94-1.01 and 0.97 (0.93-1.01, respectively. The corresponding values for losartan were 0.91 (0.81-1.02 and 1.05 (0.98-1.12, respectively. The incidence of adverse events was not significantly different between the two

  6. Balancing Design Project Supervision and Learning Facilitation

    DEFF Research Database (Denmark)

    Nielsen, Louise Møller

    2012-01-01

    set of demands to the design lecturer. On one hand she is the facilitator of the learning process, where the students are in charge of their own projects, and where learning happens through the students’ own experiences, successes and mistakes and on the other hand she is a supervisor, who uses her...... experiences and expertise to guide the students’ decisions in relation to the design project. This paper focuses on project supervision in the context of design education – and more specifically on how this supervision is unfolded in a Problem Based Learning culture. The paper explores the supervisor......In design there is a long tradition for apprenticeship, as well as tradition for learning through design projects. Today many design educations are positioned within the University context, and have to be aligned with the learning culture and structure, which they represent. This raises a specific...

  7. Balancing Design Project Supervision and Learning Facilitation

    DEFF Research Database (Denmark)

    Nielsen, Louise Møller

    2012-01-01

    experiences and expertise to guide the students’ decisions in relation to the design project. This paper focuses on project supervision in the context of design education – and more specifically on how this supervision is unfolded in a Problem Based Learning culture. The paper explores the supervisor......’s balance between the roles: 1) Design Project Supervisor – and 2) Learning Facilitator – with the aim to understand when to apply the different roles, and what to be aware of when doing so. This paper represents the first pilot-study of a larger research effort. It is based on a Lego Serious Play workshop......In design there is a long tradition for apprenticeship, as well as tradition for learning through design projects. Today many design educations are positioned within the University context, and have to be aligned with the learning culture and structure, which they represent. This raises a specific...

  8. The Supervised Learning Gaussian Mixture Model

    Institute of Scientific and Technical Information of China (English)

    马继涌; 高文

    1998-01-01

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

  9. Equality of Opportunity in Supervised Learning

    OpenAIRE

    Hardt, Moritz; Price, Eric; Srebro, Nathan

    2016-01-01

    We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to predict some target based on available features. Assuming data about the predictor, target, and membership in the protected group are available, we show how to optimally adjust any learned predictor so as to remove discrimination according to our definition. Our framework also improves incentives by shifting the cost of poor classification from disadvantaged groups to...

  10. Enhance International Cooperation to Promote Technology Supervision

    Institute of Scientific and Technical Information of China (English)

    Li Helin; Terry Qin

    1995-01-01

    @@ Tubular Goods Research Center(TGRC) is not only a scientific research institution of CNPC, but also the Tubular goods Quality Supervising, Inspection and Testing Center, the OCTG Thread Gage Measurement and Certification Agency, the secretariat of Tubular Goods Technical Committee of China Petroleum Standardization Committee,the National Laboratory of OCTG Certification for China Administration of Import and Export Commodity Inspection, Oil field Tubular Goods and Equipment Subcenter of Failure Analysis and Prevention Center of China Science Association.

  11. Web Interfacing for Task Supervision and Specification

    OpenAIRE

    Tomatis, N.; Moreau, B.

    2001-01-01

    The Autonomous Systems Lab at the Swiss Federal Institute of Technology Lausanne (EPFL) is engaged in mobile robotics research. The lab’s research focuses mainly on indoor localization and map building, outdoor locomotion and navigation, and micro mobile robotics. In the framework of a research project on mobile robot localization, a graphical web interface for our indoor robots has been developed. The purpose of this interface is twofold: it serves as a tool for task supervision for the rese...

  12. Missing Data Imputation for Supervised Learning

    OpenAIRE

    Poulos, Jason; Valle, Rafael

    2016-01-01

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

  13. Complex networks and banking systems supervision

    Science.gov (United States)

    Papadimitriou, Theophilos; Gogas, Periklis; Tabak, Benjamin M.

    2013-10-01

    Comprehensive and thorough supervision of all banking institutions under a Central Bank’s regulatory control has become necessary as recent banking crises show. Promptly identifying bank distress and contagion issues is of great importance to the regulators. This paper proposes a methodology that can be used additionally to the standard methods of bank supervision or the new ones proposed to be implemented. By this, one can reveal the degree of banks’ connectedness and thus identify “core” instead of just “big” banks. Core banks are central in the network in the sense that they are shown to be crucial for network supervision. Core banks can be used as gauges of bank distress over a sub-network and promptly raise a red flag so that the central bank can effectively and swiftly focus on the corresponding neighborhood of financial institutions. In this paper we demonstrate the proposed scheme using as an example the asset returns variable. The method may and should be used with alternative variables as well.

  14. Supervised hub-detection for brain connectivity

    Science.gov (United States)

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

    2016-03-01

    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, 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 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-detection and a linear regression using the original network connections as features. The results show that the SHD is able to retain regression performance, while still finding hubs that represent the underlying variation in the population. Although here we applied the SHD to brain networks, it can be applied to any network regression problem. Further development of the presented algorithm will be the extension to other predictive models such as classification or non-linear regression.

  15. Automatic age and gender classification using supervised appearance model

    Science.gov (United States)

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

    2016-11-01

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

  16. 28 CFR 2.206 - Travel approval and transfers of supervision.

    Science.gov (United States)

    2010-07-01

    ... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in...

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

    Science.gov (United States)

    Thomas, Janet T

    2014-11-01

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

  18. Labeling Schemes with Queries

    OpenAIRE

    2006-01-01

    We study the question of ``how robust are the known lower bounds of labeling schemes when one increases the number of consulted labels''. Let $f$ be a function on pairs of vertices. An $f$-labeling scheme for a family of graphs $\\cF$ labels the vertices of all graphs in $\\cF$ such that for every graph $G\\in\\cF$ and every two vertices $u,v\\in G$, the value $f(u,v)$ can be inferred by merely inspecting the labels of $u$ and $v$. This paper introduces a natural generalization: the notion of $f$-...

  19. Best Practices in Clinical Supervision: another step in delineating effective supervision practice.

    Science.gov (United States)

    Borders, L Dianne

    2014-01-01

    Across the helping professions, we have arrived at a point where it is possible to create statements of best practices in supervision that are based on available empirical research; credentialing, ethical, and legal guidelines; and consensus opinion. Best practices are different from, but certainly complementary to, statements of supervision competencies. In this paper, I highlight the differences between competencies and best practices, and then describe the development and content of one comprehensive statement, the Best Practices in Clinical Supervision created for the field of counseling and counselor education. I then illustrate the applicability of the Best Practices across disciplines and countries through a comparison and contrast with several other existing documents. I conclude with a brief look at the development of supervisor expertise, which requires not only declarative knowledge (competencies) and procedural knowledge (statements of best practices), but also reflective knowledge. The latter is composed of insights built over years of supervision education, experience, and self-reflection regarding necessary adaptions and improvisations that inform an individualized approach to supervision practice.

  20. Succesful labelling schemes

    DEFF Research Database (Denmark)

    Juhl, Hans Jørn; Stacey, Julia

    2001-01-01

    It is usual practice to evaluate the success of a labelling scheme by looking at the awareness percentage, but in many cases this is not sufficient. The awareness percentage gives no indication of which of the consumer segments that are aware of and use labelling schemes and which do not. In the ......It is usual practice to evaluate the success of a labelling scheme by looking at the awareness percentage, but in many cases this is not sufficient. The awareness percentage gives no indication of which of the consumer segments that are aware of and use labelling schemes and which do not....... In the spring of 2001 MAPP carried out an extensive consumer study with special emphasis on the Nordic environmentally friendly label 'the swan'. The purpose was to find out how much consumers actually know and use various labelling schemes. 869 households were contacted and asked to fill in a questionnaire...... it into consideration when I go shopping. The respondent was asked to pick the most suitable answer, which described her use of each label. 29% - also called 'the labelling blind' - responded that they basically only knew the recycling label and the Government controlled organic label 'Ø-mærket'. Another segment of 6...

  1. Towards harmonized seismic analysis across Europe using supervised machine learning approaches

    Science.gov (United States)

    Zaccarelli, Riccardo; Bindi, Dino; Cotton, Fabrice; Strollo, Angelo

    2017-04-01

    In the framework of the Thematic Core Services for Seismology of EPOS-IP (European Plate Observing System-Implementation Phase), a service for disseminating a regionalized logic-tree of ground motions models for Europe is under development. While for the Mediterranean area the large availability of strong motion data qualified and disseminated through the Engineering Strong Motion database (ESM-EPOS), supports the development of both selection criteria and ground motion models, for the low-to-moderate seismic regions of continental Europe the development of ad-hoc models using weak motion recordings of moderate earthquakes is unavoidable. Aim of this work is to present a platform for creating application-oriented earthquake databases by retrieving information from EIDA (European Integrated Data Archive) and applying supervised learning models for earthquake records selection and processing suitable for any specific application of interest. Supervised learning models, i.e. the task of inferring a function from labelled training data, have been extensively used in several fields such as spam detection, speech and image recognition and in general pattern recognition. Their suitability to detect anomalies and perform a semi- to fully- automated filtering on large waveform data set easing the effort of (or replacing) human expertise is therefore straightforward. Being supervised learning algorithms capable of learning from a relatively small training set to predict and categorize unseen data, its advantage when processing large amount of data is crucial. Moreover, their intrinsic ability to make data driven predictions makes them suitable (and preferable) in those cases where explicit algorithms for detection might be unfeasible or too heuristic. In this study, we consider relatively simple statistical classifiers (e.g., Naive Bayes, Logistic Regression, Random Forest, SVMs) where label are assigned to waveform data based on "recognized classes" needed for our use case

  2. Genetic classification of populations using supervised learning.

    LENUS (Irish Health Repository)

    Bridges, Michael

    2011-01-01

    There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case-control studies and quality control (when participants in a study have been genotyped at different laboratories). This latter application is of particular importance in the era of large scale genome wide association studies, when collections of individuals genotyped at different locations are being merged to provide increased power. The traditional method for detecting structure within a population is some form of exploratory technique such as principal components analysis. Such methods, which do not utilise our prior knowledge of the membership of the candidate populations. are termed unsupervised. Supervised methods, on the other hand are able to utilise this prior knowledge when it is available.In this paper we demonstrate that in such cases modern supervised approaches are a more appropriate tool for detecting genetic differences between populations. We apply two such methods, (neural networks and support vector machines) to the classification of three populations (two from Scotland and one from Bulgaria). The sensitivity exhibited by both these methods is considerably higher than that attained by principal components analysis and in fact comfortably exceeds a recently conjectured theoretical limit on the sensitivity of unsupervised methods. In particular, our methods can distinguish between the two Scottish populations, where principal components analysis cannot. We suggest, on the basis of our results that a supervised learning approach should be the method of choice when classifying individuals into pre-defined populations, particularly in quality control for large scale genome wide association studies.

  3. Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification

    KAUST Repository

    Wang, Jingbin

    2015-10-09

    In this paper we study the problem of learning from multiple modal data for purpose of document classification. In this problem, each document is composed two different modals of data, i.e., An image and a text. Cross-modal factor analysis (CFA) has been proposed to project the two different modals of data to a shared data space, so that the classification of a image or a text can be performed directly in this space. A disadvantage of CFA is that it has ignored the supervision information. In this paper, we improve CFA by incorporating the supervision information to represent and classify both image and text modals of documents. We project both image and text data to a shared data space by factor analysis, and then train a class label predictor in the shared space to use the class label information. The factor analysis parameter and the predictor parameter are learned jointly by solving one single objective function. With this objective function, we minimize the distance between the projections of image and text of the same document, and the classification error of the projection measured by hinge loss function. The objective function is optimized by an alternate optimization strategy in an iterative algorithm. Experiments in two different multiple modal document data sets show the advantage of the proposed algorithm over other CFA methods.

  4. A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine

    Science.gov (United States)

    Gao, Fei; Mei, Jingyuan; Sun, Jinping; Wang, Jun; Yang, Erfu; Hussain, Amir

    2015-01-01

    For current computational intelligence techniques, a major challenge is how to learn new concepts in changing environment. Traditional learning schemes could not adequately address this problem due to a lack of dynamic data selection mechanism. In this paper, inspired by human learning process, a novel classification algorithm based on incremental semi-supervised support vector machine (SVM) is proposed. Through the analysis of prediction confidence of samples and data distribution in a changing environment, a “soft-start” approach, a data selection mechanism and a data cleaning mechanism are designed, which complete the construction of our incremental semi-supervised learning system. Noticeably, with the ingenious design procedure of our proposed algorithm, the computation complexity is reduced effectively. In addition, for the possible appearance of some new labeled samples in the learning process, a detailed analysis is also carried out. The results show that our algorithm does not rely on the model of sample distribution, has an extremely low rate of introducing wrong semi-labeled samples and can effectively make use of the unlabeled samples to enrich the knowledge system of classifier and improve the accuracy rate. Moreover, our method also has outstanding generalization performance and the ability to overcome the concept drift in a changing environment. PMID:26275294

  5. A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.

    Directory of Open Access Journals (Sweden)

    Fei Gao

    Full Text Available For current computational intelligence techniques, a major challenge is how to learn new concepts in changing environment. Traditional learning schemes could not adequately address this problem due to a lack of dynamic data selection mechanism. In this paper, inspired by human learning process, a novel classification algorithm based on incremental semi-supervised support vector machine (SVM is proposed. Through the analysis of prediction confidence of samples and data distribution in a changing environment, a "soft-start" approach, a data selection mechanism and a data cleaning mechanism are designed, which complete the construction of our incremental semi-supervised learning system. Noticeably, with the ingenious design procedure of our proposed algorithm, the computation complexity is reduced effectively. In addition, for the possible appearance of some new labeled samples in the learning process, a detailed analysis is also carried out. The results show that our algorithm does not rely on the model of sample distribution, has an extremely low rate of introducing wrong semi-labeled samples and can effectively make use of the unlabeled samples to enrich the knowledge system of classifier and improve the accuracy rate. Moreover, our method also has outstanding generalization performance and the ability to overcome the concept drift in a changing environment.

  6. Non-supervised macro segmentation of large-scale TV videos

    Science.gov (United States)

    Bai, Hongliang; Dong, Chengyu; Wang, Lezi; Qin, Gang; Tao, Kun; Chang, Xiaofu; Dong, Yuan

    2011-02-01

    In this paper, a novel non-supervised macro segmentation algorithm is presented by detecting duplicate sequences of large-scale TV videos. Motivated by the fact that "Inter-Programs" are repeatedly inserted into the TV videos, the macro structure of the videos can be effectively and automatically generated by identifying the special sequences. There are four sections in the algorithm, namely, keyframe extraction, discrete cosine transformbased feature generation(a fixed-size 64D signature), Locality-Sensitive Hashing (LSH)-based frame retrieval and macro segmentation through the duplicated sequence detection and the dynamic programming. The main contributions are: (1) supply one effective and efficient algorithm for the macro segmentation in the large-scale TV videos, (2) LSH can quickly query the similar frames, and (3) the non-supervised learned duplicate sequence models are used to find the lost duplicate sequences by the dynamic programming. The algorithm has been tested in 15-day different-type TV streams. The F-measure of the system is greater than 96%. The experiments show that it is efficient and effective for the macro segmentation.

  7. Supervised hub-detection for brain connectivity

    DEFF Research Database (Denmark)

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

    2016-01-01

    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......-detection and a linear regression using the original network connections as features. The results show that the SHD is able to retain regression performance, while still finding hubs that represent the underlying variation in the population. Although here we applied the SHD to brain networks, it can be applied to any...

  8. Supervised Ensemble Classification of Kepler Variable Stars

    CERN Document Server

    Bass, Gideon

    2016-01-01

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

  9. 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

  10. Gaia eclipsing binary and multiple systems. Supervised classification and self-organizing maps

    Science.gov (United States)

    Süveges, M.; Barblan, F.; Lecoeur-Taïbi, I.; Prša, A.; Holl, B.; Eyer, L.; Kochoska, A.; Mowlavi, N.; Rimoldini, L.

    2017-07-01

    Context. Large surveys producing tera- and petabyte-scale databases require machine-learning and knowledge discovery methods to deal with the overwhelming quantity of data and the difficulties of extracting concise, meaningful information with reliable assessment of its uncertainty. This study investigates the potential of a few machine-learning methods for the automated analysis of eclipsing binaries in the data of such surveys. Aims: We aim to aid the extraction of samples of eclipsing binaries from such databases and to provide basic information about the objects. We intend to estimate class labels according to two different, well-known classification systems, one based on the light curve morphology (EA/EB/EW classes) and the other based on the physical characteristics of the binary system (system morphology classes; detached through overcontact systems). Furthermore, we explore low-dimensional surfaces along which the light curves of eclipsing binaries are concentrated, and consider their use in the characterization of the binary systems and in the exploration of biases of the full unknown Gaia data with respect to the training sets. Methods: We have explored the performance of principal component analysis (PCA), linear discriminant analysis (LDA), Random Forest classification and self-organizing maps (SOM) for the above aims. We pre-processed the photometric time series by combining a double Gaussian profile fit and a constrained smoothing spline, in order to de-noise and interpolate the observed light curves. We achieved further denoising, and selected the most important variability elements from the light curves using PCA. Supervised classification was performed using Random Forest and LDA based on the PC decomposition, while SOM gives a continuous 2-dimensional manifold of the light curves arranged by a few important features. We estimated the uncertainty of the supervised methods due to the specific finite training set using ensembles of models constructed

  11. Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosis.

    Science.gov (United States)

    Li, Chaoshun; Zhou, Jianzhong

    2014-09-01

    Supervised learning method, like support vector machine (SVM), has been widely applied in diagnosing known faults, however this kind of method fails to work correctly when new or unknown fault occurs. Traditional unsupervised kernel clustering can be used for unknown fault diagnosis, but it could not make use of the historical classification information to improve diagnosis accuracy. In this paper, a semi-supervised kernel clustering model is designed to diagnose known and unknown faults. At first, a novel semi-supervised weighted kernel clustering algorithm based on gravitational search (SWKC-GS) is proposed for clustering of dataset composed of labeled and unlabeled fault samples. The clustering model of SWKC-GS is defined based on wrong classification rate of labeled samples and fuzzy clustering index on the whole dataset. Gravitational search algorithm (GSA) is used to solve the clustering model, while centers of clusters, feature weights and parameter of kernel function are selected as optimization variables. And then, new fault samples are identified and diagnosed by calculating the weighted kernel distance between them and the fault cluster centers. If the fault samples are unknown, they will be added in historical dataset and the SWKC-GS is used to partition the mixed dataset and update the clustering results for diagnosing new fault. In experiments, the proposed method has been applied in fault diagnosis for rotatory bearing, while SWKC-GS has been compared not only with traditional clustering methods, but also with SVM and neural network, for known fault diagnosis. In addition, the proposed method has also been applied in unknown fault diagnosis. The results have shown effectiveness of the proposed method in achieving expected diagnosis accuracy for both known and unknown faults of rotatory bearing.

  12. 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.

  13. Some reflections on clinical supervision: an existential-phenomenological paradigm.

    Science.gov (United States)

    Jones, A

    1998-03-01

    This paper reviews psychotherapy, counselling, and nursing literature related to ideas of clinical supervision and attempts to illuminate areas important to effective health related practice and specifically palliative care. Included are explorations of existentialism, phenomenology, existential phenomenology and psychoanalytical concepts. The phenomenological idea of lived experience is outlined and the Heideggerian notion of authenticity is explored in context. The paper also examines dynamic forces such as hope, trust and personal values that might influence clinical supervision design and so inform a framework for practice. An existential-phenomenological method of supervision is offered as one basis for professional practice. The central recommendation of this paper is, however, to identify relevant value and belief systems to direct clinical supervision. Nursing models might appropriately instruct approaches to supervision. The writer considers the phenomenological idea of the lived experiences as a means by which to at once capture the essence of palliative care nursing and guide the supervision towards the existential idea of authenticity.

  14. Semi-Supervised Projective Non-Negative Matrix Factorization for Cancer Classification.

    Directory of Open Access Journals (Sweden)

    Xiang Zhang

    Full Text Available Advances in DNA microarray technologies have made gene expression profiles a significant candidate in identifying different types of cancers. Traditional learning-based cancer identification methods utilize labeled samples to train a classifier, but they are inconvenient for practical application because labels are quite expensive in the clinical cancer research community. This paper proposes a semi-supervised projective non-negative matrix factorization method (Semi-PNMF to learn an effective classifier from both labeled and unlabeled samples, thus boosting subsequent cancer classification performance. In particular, Semi-PNMF jointly learns a non-negative subspace from concatenated labeled and unlabeled samples and indicates classes by the positions of the maximum entries of their coefficients. Because Semi-PNMF incorporates statistical information from the large volume of unlabeled samples in the learned subspace, it can learn more representative subspaces and boost classification performance. We developed a multiplicative update rule (MUR to optimize Semi-PNMF and proved its convergence. The experimental results of cancer classification for two multiclass cancer gene expression profile datasets show that Semi-PNMF outperforms the representative methods.

  15. 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)

  16. Perceptions Regarding Planning Activities and Supervision Strategies for Supervised Agricultural Experience Programs.

    Science.gov (United States)

    Swortzel, Kirk A.

    1996-01-01

    Responses from 71% of 150 Tennessee agriculture teachers surveyed indicated that those teaching in multiple departments, subscribing to "Agricultural Education Magazine," and including supervised agricultural experiences (SAE) in grading were more positive about planning. Those not having agricultural education in high school, including…

  17. Jay Haley's Supervision of a Case of Dissociative.

    Science.gov (United States)

    Haley, Jay

    2015-01-01

    This is a transcript of a supervision session with a young therapist caught in the complex world of a woman with multiple personality. Occurring very early in the written literature about treating multiple personalities, the highlight of this paper is the supervision style and technique of Jay Haley. His approach to supervision will make the reader wish that he or she could be in the room during this session.

  18. Strengthen the Supervision over Pharmaceuticals via Modern Automatic Identification

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

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

  19. Measuring progressive independence with the resident supervision index: empirical approach.

    Science.gov (United States)

    Kashner, T Michael; Byrne, John M; Chang, Barbara K; Henley, Steven S; Golden, Richard M; Aron, David C; Cannon, Grant W; Gilman, Stuart C; Holland, Gloria J; Kaminetzky, Catherine P; Keitz, Sheri A; Muchmore, Elaine A; Kashner, Tetyana K; Wicker, Annie B

    2010-03-01

    A Resident Supervision Index (RSI) developed by our research team quantifies the intensity of resident supervision in graduate medical education, with the goal of testing for progressive independence. The 4-part RSI method includes a survey instrument for staff and residents (RSI Inventory), a strategy to score survey responses, a theoretical framework (patient centered optimal supervision), and a statistical model that accounts for the presence or absence of supervision and the intensity of patient care. The RSI Inventory data came from 140 outpatient encounters involving 57 residents and 37 attending physicians during a 3-month period at a Department of Veterans Affairs outpatient clinic. Responses are scored to quantitatively measure the intensity of resident supervision across 10 levels of patient services (staff is absent, is present, participated, or provided care with or without a resident), case discussion (resident-staff interaction), and oversight (staff reviewed case, reviewed medical chart, consulted with staff, or assessed patient). Scores are analyzed by level and for patient care using a 2-part model (supervision initiated [yes or no] versus intensity once supervision was initiated). All resident encounters had patient care supervision, resident oversight, or both. Consistent with the progressive independence hypothesis, residents were 1.72 (P  =  .019) times more likely to be fully responsible for patient care with each additional postgraduate year. Decreasing case complexity, increasing clinic workload, and advanced nonmedical degrees among attending staff were negatively associated with supervision intensity, although associations varied by supervision level. These data are consistent with the progressive independence hypothesis in graduate medical education and offer empirical support for the 4-part RSI method to quantify the intensity of resident supervision for research, program evaluation, and resident assessment purposes. Before

  20. The Game Analysis of Public Participation in Food Security Supervision

    Directory of Open Access Journals (Sweden)

    Zhou Zaohong

    2013-03-01

    Full Text Available Based on public participating in food safety supervision, this thesis comes to fully manifest the influential role and the significance of public participation in food safety supervision in the use of game theory by analyzing the behavior strategy performance of public, enterprises and government. It aims to provide a wide range of management theory on public’s participation in food safety supervision and the multiplication of management.

  1. Combining supervised classifiers with unlabeled data

    Institute of Scientific and Technical Information of China (English)

    刘雪艳; 张雪英; 李凤莲; 黄丽霞

    2016-01-01

    Ensemble learning is a wildly concerned issue. Traditional ensemble techniques are always adopted to seek better results with labeled data and base classifiers. They fail to address the ensemble task where only unlabeled data are available. A label propagation based ensemble (LPBE) approach is proposed to further combine base classification results with unlabeled data. First, a graph is constructed by taking unlabeled data as vertexes, and the weights in the graph are calculated by correntropy function. Average prediction results are gained from base classifiers, and then propagated under a regularization framework and adaptively enhanced over the graph. The proposed approach is further enriched when small labeled data are available. The proposed algorithms are evaluated on several UCI benchmark data sets. Results of simulations show that the proposed algorithms achieve satisfactory performance compared with existing ensemble methods.

  2. Postgraduate students experience in research supervision

    Science.gov (United States)

    Mohamed, Hazura; Judi, Hairulliza Mohamad; Mohammad, Rofizah

    2017-04-01

    The success and quality of postgraduate education depends largely on the effective and efficient supervision of postgraduate students. The role of the supervisor becomes more challenging with supervisory expectations rising high quality graduates. The main objective of this study was to examine the experiences of postgraduate students towards supervisory services for the duration of their studies. It also examines whether supervisory experience varies based on demographic variables such as level of study and nationality. This study uses a quantitative approach in the form of survey. Questionnaires were distributed to 96 postgraduate students of the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia. Data collected were analyzed using Statistical Package for the Social Science (SPSS 23.0) to get the frequency, mean and standard deviation. T-test was used to find the difference between demographic variables and supervisory experience. The findings overall showed that postgraduate students gave positive response to the supervisory services. However, there were differences supervisory experiences based on the level of study and nationality. The results of this study hope the parties involved could provide a better support to improve the quality of supervision.

  3. Generative supervised classification using Dirichlet process priors.

    Science.gov (United States)

    Davy, Manuel; Tourneret, Jean-Yves

    2010-10-01

    Choosing the appropriate parameter prior distributions associated to a given bayesian model is a challenging problem. Conjugate priors can be selected for simplicity motivations. However, conjugate priors can be too restrictive to accurately model the available prior information. This paper studies a new generative supervised classifier which assumes that the parameter prior distributions conditioned on each class are mixtures of Dirichlet processes. The motivations for using mixtures of Dirichlet processes is their known ability to model accurately a large class of probability distributions. A Monte Carlo method allowing one to sample according to the resulting class-conditional posterior distributions is then studied. The parameters appearing in the class-conditional densities can then be estimated using these generated samples (following bayesian learning). The proposed supervised classifier is applied to the classification of altimetric waveforms backscattered from different surfaces (oceans, ices, forests, and deserts). This classification is a first step before developing tools allowing for the extraction of useful geophysical information from altimetric waveforms backscattered from nonoceanic surfaces.

  4. Optimization of Safety Production Supervision Mode of Coalmining Enterprises

    Institute of Scientific and Technical Information of China (English)

    ZHOU Min; XIAO Zhong-hai

    2005-01-01

    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 focusing 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.

  5. Group supervision and Japanese students' successful completion of undergraduate theses

    National Research Council Canada - National Science Library

    Yamada, Kiyomi

    2013-01-01

    This paper explores, from a sociocultural perspective, the nature and functions of zemi or seminars in which Japanese undergraduate students received group supervision for research and thesis writing...

  6. 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...

  7. Design and Factors Affecting State Supervision of the Financial Market

    Directory of Open Access Journals (Sweden)

    Mirosław Jeżowski

    2015-03-01

    Full Text Available Purpose: The purpose of the paper is to identify the factors that affect the development of the models of financial market state supervision and to identify the factors that have influenced the evolution of the supervision model in Poland. Methodology: critical analysis of literature, legal provisions and documents. Findings: The completely integrated and the fully dispersed model of supervision are located at the opposite ends of the spectrum. A variety of the hybrid models can be identified between them. Factors that affect supervision organization are both economic and non-economic. Factors that have influenced the Polish model of supervision include political aspects, administration costs and, in due course, also the development of the financial market. Research implications: The variety of state supervision structures, combined with the ambiguity and multiplicity of factors that affect their evolution create a new research challenge. Significant problems in accessing documents have been identified. Originality: The author presents an overview of models of state supervision of financial markets and factors affecting the evolution and structure of supervision. Conclusions drawn from the analysis were used to identify factors that influence the evolution and supervision of the Polish financial market.

  8. A High Accuracy Method for Semi-supervised Information Extraction

    Energy Technology Data Exchange (ETDEWEB)

    Tratz, Stephen C.; Sanfilippo, Antonio P.

    2007-04-22

    Customization to specific domains of dis-course and/or user requirements is one of the greatest challenges for today’s Information Extraction (IE) systems. While demonstrably effective, both rule-based and supervised machine learning approaches to IE customization pose too high a burden on the user. Semi-supervised learning approaches may in principle offer a more resource effective solution but are still insufficiently accurate to grant realistic application. We demonstrate that this limitation can be overcome by integrating fully-supervised learning techniques within a semi-supervised IE approach, without increasing resource requirements.

  9. 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.

  10. Food Label and You

    Medline Plus

    Full Text Available ... En Español Search FDA Submit search Popular Content Home Food Drugs Medical Devices Radiation-Emitting Products Vaccines, Blood & Biologics Animal & Veterinary Cosmetics Tobacco Products Food Home Food Ingredients, Packaging & Labeling Labeling & Nutrition The Food ...

  11. A Survey of Semi-supervised Text Categonzation%半监督文本分类综述

    Institute of Scientific and Technical Information of China (English)

    牛罡; 罗爱宝; 商琳

    2011-01-01

    Text categorization is a regular problem in people daily work and an interesting research area of machine learning.Semi-supervised learning algorithms, which consider both labeled and unlabeled data, can improve learning effectiveness significantly.This paper gives the definition and characteristic of text categorization and introduces the traditional supervised learning algorithms and evaluation indicators.Then it analyzes the characteristic and basic theory of semi-supervised text categorization, and discusses some algorithms on semi-supervised text categorization,such as Bayesian method and regularization method.%文本分类是人们日常工作中经常遇到的问题,也是机器学习的重要研究内容.半监督学习算法同时考虑有标记和无标记数据,能显著提升学习效果.给出了文本分类的定义和特点,介绍了传统的监督学习分类算法和评价指标,对半监督文本分类的特点和基础理论进行了分析,并具体介绍了一些半监督文本分类算法,如贝叶斯方法和正则化方法.

  12. Supervised hashing using graph cuts and boosted decision trees.

    Science.gov (United States)

    Lin, Guosheng; Shen, Chunhua; Hengel, Anton van den

    2015-11-01

    To build large-scale query-by-example image retrieval systems, embedding image features into a binary Hamming space provides great benefits. Supervised hashing aims to map the original features to compact binary codes that are able to preserve label based similarity in the binary Hamming space. Most existing approaches apply a single form of hash function, and an optimization process which is typically deeply coupled to this specific form. This tight coupling restricts the flexibility of those methods, and can result in complex optimization problems that are difficult to solve. In this work we proffer a flexible yet simple framework that is able to accommodate different types of loss functions and hash functions. The proposed framework allows a number of existing approaches to hashing to be placed in context, and simplifies the development of new problem-specific hashing methods. Our framework decomposes the hashing learning problem into two steps: binary code (hash bit) learning and hash function learning. The first step can typically be formulated as binary quadratic problems, and the second step can be accomplished by training a standard binary classifier. For solving large-scale binary code inference, we show how it is possible to ensure that the binary quadratic problems are submodular such that efficient graph cut methods may be used. To achieve efficiency as well as efficacy on large-scale high-dimensional data, we propose to use boosted decision trees as the hash functions, which are nonlinear, highly descriptive, and are very fast to train and evaluate. Experiments demonstrate that the proposed method significantly outperforms most state-of-the-art methods, especially on high-dimensional data.

  13. Progressive multi-atlas label fusion by dictionary evolution.

    Science.gov (United States)

    Song, Yantao; Wu, Guorong; Bahrami, Khosro; Sun, Quansen; Shen, Dinggang

    2017-02-01

    Accurate segmentation of anatomical structures in medical images is important in recent imaging based studies. In the past years, multi-atlas patch-based label fusion methods have achieved a great success in medical image segmentation. In these methods, the appearance of each input image patch is first represented by an atlas patch dictionary (in the image domain), and then the latent label of the input image patch is predicted by applying the estimated representation coefficients to the corresponding anatomical labels of the atlas patches in the atlas label dictionary (in the label domain). However, due to the generally large gap between the patch appearance in the image domain and the patch structure in the label domain, the estimated (patch) representation coefficients from the image domain may not be optimal for the final label fusion, thus reducing the labeling accuracy. To address this issue, we propose a novel label fusion framework to seek for the suitable label fusion weights by progressively constructing a dynamic dictionary in a layer-by-layer manner, where the intermediate dictionaries act as a sequence of guidance to steer the transition of (patch) representation coefficients from the image domain to the label domain. Our proposed multi-layer label fusion framework is flexible enough to be applied to the existing labeling methods for improving their label fusion performance, i.e., by extending their single-layer static dictionary to the multi-layer dynamic dictionary. The experimental results show that our proposed progressive label fusion method achieves more accurate hippocampal segmentation results for the ADNI dataset, compared to the counterpart methods using only the single-layer static dictionary.

  14. 75 FR 28221 - Paroling, Recommitting, and Supervising Federal Prisoners: Prisoners Serving Sentences Under the...

    Science.gov (United States)

    2010-05-20

    ... certificate after the offender has served a period of community supervision on parole or supervised release... supervision in the community; or (2) a youth offender is unconditionally discharged from parole supervision or... for issuing a set-aside certificate nunc pro tunc for a youth offender who was on parole supervision...

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

    OpenAIRE

    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...

  16. Scale selection for supervised image segmentation

    DEFF Research Database (Denmark)

    Li, Yan; Tax, David M J; Loog, Marco

    2012-01-01

    Finding the right scales for feature extraction is crucial for supervised image segmentation based on pixel classification. There are many scale selection methods in the literature; among them the one proposed by Lindeberg is widely used for image structures such as blobs, edges and ridges. Those...... schemes are usually unsupervised, as they do not take into account the actual segmentation problem at hand. In this paper, we consider the problem of selecting scales, which aims at an optimal discrimination between user-defined classes in the segmentation. We show the deficiency of the classical...... our approach back to Lindeberg's original proposal. In the experiments, the max rule is applied to artificial and real-world image segmentation tasks, which is shown to choose the right scales for different problems and lead to better segmentation results. © 2012 Elsevier B.V....

  17. Supervised retinal biometrics in different lighting conditions.

    Science.gov (United States)

    Azemin, Mohd Zulfaezal Che; Kumar, Dinesh K; Sugavaneswaran, Lakshmi; Krishnan, Sridhar

    2011-01-01

    Retinal image has been considered for number of health and biometrics applications. However, the reliability of these has not been investigated thoroughly. The variation observed in retina scans taken at different times is attributable to differences in illumination and positioning of the camera. It causes some missing bifurcations and crossovers from the retinal vessels. Exhaustive selection of optimal parameters is needed to construct the best similarity metrics equation to overcome the incomplete landmarks. In this paper, we extracted multiple features from the retina scans and employs supervised classification to overcome the shortcomings of the current techniques. The experimental results of 60 retina scans with different lightning conditions demonstrate the efficacy of this technique. The results were compared with the existing methods.

  18. Complex dynamics in supervised work groups

    Science.gov (United States)

    Dal Forno, Arianna; Merlone, Ugo

    2013-07-01

    In supervised work groups many factors concur to determine productivity. Some of them may be economical and some psychological. According to the literature, the heterogeneity in terms of individual capacity seems to be one of the principal causes for chaotic dynamics in a work group. May sorting groups of people with same capacity for effort be a solution? In the organizational psychology literature an important factor is the engagement in the task, while expectations are central in the economics literature. Therefore, we propose a dynamical model which takes into account both engagement in the task and expectations. An important lesson emerges. The intolerance deriving from the exposure to inequity may not be only caused by differences in individual capacities, but also by these factors combined. Consequently, solutions have to be found in this new direction.

  19. Supervised Classification Performance of Multispectral Images

    CERN Document Server

    Perumal, K

    2010-01-01

    Nowadays government and private agencies use remote sensing imagery for a wide range of applications from military applications to farm development. The images may be a panchromatic, multispectral, hyperspectral or even ultraspectral of terra bytes. Remote sensing image classification is one amongst the most significant application worlds for remote sensing. A few number of image classification algorithms have proved good precision in classifying remote sensing data. But, of late, due to the increasing spatiotemporal dimensions of the remote sensing data, traditional classification algorithms have exposed weaknesses necessitating further research in the field of remote sensing image classification. So an efficient classifier is needed to classify the remote sensing images to extract information. We are experimenting with both supervised and unsupervised classification. Here we compare the different classification methods and their performances. It is found that Mahalanobis classifier performed the best in our...

  20. 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.

  1. An experiential group model for psychotherapy supervision.

    Science.gov (United States)

    Altfeld, D A

    1999-04-01

    This article presents an experiential group model of supervision constructed for both group and individual therapy presentations, emphasizing concepts from object relations theory and group-as-a-whole dynamics. It focuses on intrapsychic, interpersonal, and systems processes, and stresses the group aspect of the supervisory process. Its central thesis is that material presented in a group supervisory setting stimulates conscious and unconscious parallel processes in group members. Through here-and-now responses, associations, and interactions among the supervisory members, countertransference issues that have eluded the presenter can make themselves known and be worked through on emotional as well as cognitive levels. Selected excerpts from supervisory sessions demonstrate various attributes and strengths of the model.

  2. Urgency of Community Supervision Organization by Government

    Directory of Open Access Journals (Sweden)

    Catur Wibowo Budi Santoso

    2015-03-01

    Full Text Available Urgency Surveillance Study of Social Organization aims to describe the reality of the problems in the a real of Social Organization; describe the implementation of the role of government (including local government in controlling the Social Organization; and provider recommendations on matters that need to be regulated in the draft regulations on the supervision of organizations. This study used a qualitative approach, with the aim that can be obtained in-depth and complete information about matters relating to the existence and dynamics in regional organizations. The study results presented can be: that on the one hand the existence of organizations that do not contribute little in development, but on the other hand there are many community organizations that act an archaic and disturbing in society; for the entire operational provisions for the implementation of Social Organization must be available; things that need to be arranged substantially in the surveillance by the government.

  3. Supervised neural networks for the classification of structures.

    Science.gov (United States)

    Sperduti, A; Starita, A

    1997-01-01

    Standard neural networks and statistical methods are usually believed to be inadequate when dealing with complex structures because of their feature-based approach. In fact, feature-based approaches usually fail to give satisfactory solutions because of the sensitivity of the approach to the a priori selection of the features, and the incapacity to represent any specific information on the relationships among the components of the structures. However, we show that neural networks can, in fact, represent and classify structured patterns. The key idea underpinning our approach is the use of the so called "generalized recursive neuron", which is essentially a generalization to structures of a recurrent neuron. By using generalized recursive neurons, all the supervised networks developed for the classification of sequences, such as backpropagation through time networks, real-time recurrent networks, simple recurrent networks, recurrent cascade correlation networks, and neural trees can, on the whole, be generalized to structures. The results obtained by some of the above networks (with generalized recursive neurons) on the classification of logic terms are presented.

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

    Science.gov (United States)

    Mead, Eugene; Crane, D. Russell

    1978-01-01

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

  5. 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...

  6. Researching the Parallel Process in Supervision and Psychotherapy

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    Reflects upon how to do process research in supervision and in the parallel process. A single case study is presented illustrating how a study on parallel process can be carried out.......Reflects upon how to do process research in supervision and in the parallel process. A single case study is presented illustrating how a study on parallel process can be carried out....

  7. Agonistic Struggle: Master-Slave Dialogues in Humanities Supervision

    Science.gov (United States)

    Grant, Barbara M.

    2008-01-01

    Hegel's master and slave is a significant archetype for graduate research supervision. The master-slave relation vividly exemplifies the hierarchical bond that ties supervisor and student together. Such a confronting view of supervision provides a counterbalance to contemporary emphases on equality between supervisor and student. In what follows,…

  8. 49 CFR 214.315 - Supervision and communication.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Supervision and communication. 214.315 Section 214... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION RAILROAD WORKPLACE SAFETY Roadway Worker Protection § 214.315 Supervision and communication. (a) When an employer assigns duties to a roadway worker that call for...

  9. Instructional Leadership and Supervision in Special Language Programs.

    Science.gov (United States)

    Florez-Tighe, Viola

    A recent review of English as a Second Language (ESL) research revealed an increase in studies dealing with instructional approaches, language learning theories, ESL curriculum, and learning-aid study strategies; however, supervision of teaching in ESL programs was mentioned only occasionally. Supervision, when properly practiced, can provide a…

  10. Agonistic Struggle: Master-Slave Dialogues in Humanities Supervision

    Science.gov (United States)

    Grant, Barbara M.

    2008-01-01

    Hegel's master and slave is a significant archetype for graduate research supervision. The master-slave relation vividly exemplifies the hierarchical bond that ties supervisor and student together. Such a confronting view of supervision provides a counterbalance to contemporary emphases on equality between supervisor and student. In what follows,…

  11. A Content Analysis of Peer Feedback in Triadic Supervision

    Science.gov (United States)

    Avent, Janeé R.; Wahesh, Edward; Purgason, Lucy L.; Borders, L. DiAnne; Mobley, A. Keith

    2015-01-01

    There is limited research on the types of peer feedback exchanged during triadic supervision. Through a content analysis, the authors found that students provided feedback about counseling performance and cognitive counseling skills most often in supervision sessions. However, there were differences in the types of feedback exchanged across three…

  12. 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 supervi...

  13. Distance Supervision in Rehabilitation Counseling: Ethical and Clinical Considerations

    Science.gov (United States)

    Lund, Emily M.; Schultz, Jared C.

    2015-01-01

    Background: The use of technology-mediated distance supervision is a rapidly growing area in rehabilitation counseling and other fields. Distance supervision has both tremendous potential and notable challenges to address, including questions of ethics and evidence. Purpose: This article examines both the ethical and nonethical principles that…

  14. 10 CFR 4.93 - Supervision and coordination.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Supervision and coordination. 4.93 Section 4.93 Energy... Instructions § 4.93 Supervision and coordination. The Commission may from time to time assign to officials of... achievement of effective coordination and maximum uniformity within the NRC and within the Executive Branch of...

  15. 13 CFR 117.20 - Supervision and coordination.

    Science.gov (United States)

    2010-01-01

    ... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Supervision and coordination. 117... AMENDED § 117.20 Supervision and coordination. The Administrator may from time to time assign to officials... responsibility for final decision as provided in § 117.17), including the achievement of effective coordination...

  16. New Developments in the Supervision of Cognitive Therapists.

    Science.gov (United States)

    Beck, Judith S.

    Several important developments have evolved in the supervision of cognitive therapists in the past few years. Five such developments are: (1) the conscious structuring of the supervision session to conform to the suggested structure of the therapy session; (2) increased emphasis on quickly and efficiently conceptualizing patients, refining the…

  17. 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... Customs supervision. A claimant may destroy merchandise and obtain unused merchandise drawback...

  18. 7 CFR 1230.623 - Supervision of referendum.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Supervision of referendum. 1230.623 Section 1230.623... CONSUMER INFORMATION Procedures for the Conduct of Referendum Referendum § 1230.623 Supervision of referendum. The Administrator, AMS, will be responsible for conducting the referendum in accordance with this...

  19. 33 CFR 156.160 - Supervision by person in charge.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false Supervision by person in charge. 156.160 Section 156.160 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY... Operations § 156.160 Supervision by person in charge. (a) No person may connect or disconnect a hose, top...

  20. 46 CFR 153.977 - Supervision of cargo transfer.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 5 2010-10-01 2010-10-01 false Supervision of cargo transfer. 153.977 Section 153.977 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) CERTAIN BULK DANGEROUS CARGOES SHIPS... Procedures § 153.977 Supervision of cargo transfer. The person in charge of cargo transfer shall:...

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

    NARCIS (Netherlands)

    Kilby, C.

    1995-01-01

    This paper explores empirical aspects of the relation between supervision and project performance. I focus on development projects funded by the World Bank and on supervision done by the World Bank. The World Bank is the preeminent international development organization both in terms of money lent a

  2. Joint Supervision Practices in Doctoral Education--A Student Experience

    Science.gov (United States)

    Lahenius, Katja; Ikävalko, Heini

    2014-01-01

    This paper presents a study of students' experiences of joint supervision practices and supervisors' professional work in doctoral education in one department of a Finnish university. A qualitative methodology was used to explore students' experiences of joint supervision practices and an inductive protocol was used to analyse the data gathered…

  3. 17 CFR 200.72 - Supervision of internal organization.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Supervision of internal organization. 200.72 Section 200.72 Commodity and Securities Exchanges SECURITIES AND EXCHANGE COMMISSION ORGANIZATION; CONDUCT AND ETHICS; AND INFORMATION AND REQUESTS Canons of Ethics § 200.72 Supervision...

  4. 34 CFR 303.171 - Supervision and monitoring of programs.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false Supervision and monitoring of programs. 303.171 Section 303.171 Education Regulations of the Offices of the Department of Education (Continued) OFFICE OF...-Application Requirements § 303.171 Supervision and monitoring of programs. Each application must...

  5. Postgraduate Research Supervision: A Critical Review of Current Practice

    Science.gov (United States)

    McCallin, Antoinette; Nayar, Shoba

    2012-01-01

    Changes in the funding and delivery of research programmes at the university level have, in recent years, resulted in significant changes to research supervision. This paper critically reviews key influences effecting postgraduate supervision. Analysis draws on literature spanning 2000-2010 to determine the appropriateness of traditional models of…

  6. 19 CFR 125.2 - Supervision of cartage and lighterage.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Supervision of cartage and lighterage. 125.2 Section 125.2 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY CARTAGE AND LIGHTERAGE OF MERCHANDISE General Provisions § 125.2 Supervision...

  7. Miles Apart: Two Art Therapists' Experience of Distance Supervision

    Science.gov (United States)

    Brandoff, Rachel; Lombardi, Reina

    2012-01-01

    Distance supervision (or "telesupervision") is a significant and growing trend in health care professions, but it requires advanced planning, ongoing discussion, and investment in technology by both parties in order to be an effective and ethical alternative to traditional face-to-face supervision. This viewpoint presents the perspectives of two…

  8. 32 CFR 726.9 - Reports and supervision of trustees.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 5 2010-07-01 2010-07-01 false Reports and supervision of trustees. 726.9 Section 726.9 National Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY PERSONNEL PAYMENTS OF AMOUNTS DUE MENTALLY INCOMPETENT MEMBERS OF THE NAVAL SERVICE § 726.9 Reports and supervision...

  9. Supporting Early Childhood Practitioners through Relationship-Based, Reflective Supervision

    Science.gov (United States)

    Bernstein, Victor J.; Edwards, Renee C.

    2012-01-01

    Reflective supervision is a relationship-based practice that supports the professional development of early childhood practitioners. Reflective supervision helps practitioners cope with the intense feelings and stress that are generated when working with at-risk children and families. It allows them to focus on the purpose and goals of the program…

  10. 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.…

  11. 49 CFR 176.57 - Supervision of handling and stowage.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Supervision of handling and stowage. 176.57 Section 176.57 Transportation Other Regulations Relating to Transportation PIPELINE AND HAZARDOUS... VESSEL General Handling and Stowage § 176.57 Supervision of handling and stowage. (a) Hazardous...

  12. 33 CFR 337.10 - Supervision of Federal projects.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Supervision of Federal projects. 337.10 Section 337.10 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE PRACTICE AND PROCEDURE § 337.10 Supervision of Federal projects. District...

  13. 7 CFR 761.102 - Borrower recordkeeping, reporting, and supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Borrower recordkeeping, reporting, and supervision. 761.102 Section 761.102 Agriculture Regulations of the Department of Agriculture (Continued) FARM... Credit § 761.102 Borrower recordkeeping, reporting, and supervision. (a) A borrower must...

  14. 38 CFR 13.100 - Supervision of fiduciaries.

    Science.gov (United States)

    2010-07-01

    ... 38 Pensions, Bonuses, and Veterans' Relief 1 2010-07-01 2010-07-01 false Supervision of fiduciaries. 13.100 Section 13.100 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS VETERANS BENEFITS ADMINISTRATION, FIDUCIARY ACTIVITIES § 13.100 Supervision of fiduciaries. (a)...

  15. Using Greek Mythology as a Metaphor To Enhance Supervision.

    Science.gov (United States)

    Sommer, Carol A.; Cox, Jane A.

    2003-01-01

    Reviews some uses of myths and stories in counselor education and supervision. Notes that collaborative supervision is especially relevant to the exploration of alternative views of supervisee growth that may be mirrored in myths and stories and in their multiple interpretations. The interpretation of the Greek myth of Psyche is examined as a…

  16. The reflective meta-dialogue in psycho-dynamic supervision

    DEFF Research Database (Denmark)

    Frølund, Lone; Nielsen, Jan

    2009-01-01

    Abstract The purpose of this article is to describe and examine the influence of the reflective dialogue on the process of supervision with the aim of developing professional competence. Supervision will be described from a meta-perspective, which is based on the supervisee's narration about the ...

  17. The LGBTQ Responsive Model for Supervision of Group Work

    Science.gov (United States)

    Goodrich, Kristopher M.; Luke, Melissa

    2011-01-01

    Although supervision of group work has been linked to the development of multicultural and social justice competencies, there are no models for supervision of group work specifically designed to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons. This manuscript presents the LGBTQ Responsive Model for…

  18. The Expert Group Work Supervision Process: Apperception, Actions, and Interactions

    Science.gov (United States)

    Rubel, Deborah; Atieno Okech, Jane E.

    2009-01-01

    The researchers conducted a systematic exploration of the experiences of expert group work supervisors during the supervision process. This article's purpose is to report results that inform intentional practice and illustrate supervision interventions for group work supervisors. Results indicated that participants experienced an interactive…

  19. The LGBTQ Responsive Model for Supervision of Group Work

    Science.gov (United States)

    Goodrich, Kristopher M.; Luke, Melissa

    2011-01-01

    Although supervision of group work has been linked to the development of multicultural and social justice competencies, there are no models for supervision of group work specifically designed to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons. This manuscript presents the LGBTQ Responsive Model for…

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

    Science.gov (United States)

    Newman, Daniel S.

    2012-01-01

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

  1. Asking Better Questions: Approaching the Process of Thesis Supervision.

    Science.gov (United States)

    Manderson, Desmond

    1996-01-01

    The questions typically asked by a law student in different stages of the process of thesis supervision are re-formulated to encourage more student reflection on the experience. The stages include approaching the supervision concept, selecting an appropriate supervisor, considering rights and responsibilities of both parties in developing a…

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

    Science.gov (United States)

    Reid, Hazel L.

    2010-01-01

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

  3. A Content Analysis of Peer Feedback in Triadic Supervision

    Science.gov (United States)

    Avent, Janeé R.; Wahesh, Edward; Purgason, Lucy L.; Borders, L. DiAnne; Mobley, A. Keith

    2015-01-01

    There is limited research on the types of peer feedback exchanged during triadic supervision. Through a content analysis, the authors found that students provided feedback about counseling performance and cognitive counseling skills most often in supervision sessions. However, there were differences in the types of feedback exchanged across three…

  4. Developing a scientific culture through supervision

    Directory of Open Access Journals (Sweden)

    Danie F.M. Strauss

    2012-11-01

    Full Text Available Through effective educational transmission cultural traditions are passed on to subsequent generations. The presence of alternative theoretical views of reality (paradigms in various academic disciplines uprooted the positivistic conviction that genuine science ought to be ‘objective’ and ‘neutral’. The background of this view is found in Renaissance and post-Renaissance philosophy, with its initial points of culmination in the thought of the 18th century philosopher, Immanuel Kant. He safe-guarded autonomous human freedom by restricting scholarship to phenomena (subject to the universal law of causality. The dialectic between nature and freedom gave direction to modern philosophy. Non-reductionist orientations eventually emerged recognising what is irreducible. Although a sound academic culture,operative within supervision to doctoral students, must pay attention to argumentative skills and informal logic, it must at the same time acknowledge the limitations of logic. The principle of sufficient reason refers human thinking beyond logic itself. The supervisor therefore should generate, amongst students, an awareness of the difference between reductionist and non-reductionist ontologies. Doctoral students must also realise that persistent themes and scientific revolutions go hand-in-hand. Some examples of seeing the aspects of reality as modes of explanation are given, before the seven aims of scientific endeavors identified by Stafleu are stipulated. This constitutes another important guideline that ought to be taken into account in supervising post-graduate work. Argumentative skills, scientific communication and the status of facts are discussed before a concluding formulation is given in which the overall argument of the article is summarised.

  5. From Label to Practice

    DEFF Research Database (Denmark)

    Byrkjeflot, Haldor; Strandgaard, Jesper; Svejenova, Silviya

    2013-01-01

    This article examines the process of creation of new Nordic cuisine (NNC) as a culinary innovation, focusing on the main stages, actors, and mechanisms that shaped the new label and its practices and facilitated its diffusion in the region and internationally. Fast-paced diffusion was possible...... because NNC was conceived as an identity movement, triggered by active involvement of entrepreneurial leaders from the culinary profession, high-profile political supporters, legitimating scientists, disseminating media, and interpreting audiences. It was facilitated by three mechanisms: First, the use...... actors and institutions to develop practices associated with the NNC label. Third, organized dissemination allowed the excitement and engagement with the new label to spread quickly....

  6. Capacitive label reader

    Science.gov (United States)

    Arlowe, H. Duane

    1985-01-01

    A capacitive label reader includes an outer ring transmitting portion, an inner ring transmitting portion, and a plurality of insulated receiving portions. A label is the mirror-image of the reader except that identifying portions corresponding to the receiving portions are insulated from only one of two coupling elements. Positive and negative pulses applied, respectively, to the two transmitting rings biased a CMOS shift register positively to either a 1 or 0 condition. The output of the CMOS may be read as an indication of the label.

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

    Science.gov (United States)

    Haans, Ton

    2007-01-01

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

  8. Child supervision practices for drowning prevention in rural Bangladesh: a pilot study of supervision tools.

    Science.gov (United States)

    Callaghan, J A; Hyder, A A; Khan, R; Blum, L S; Arifeen, S; Baqui, A H

    2010-07-01

    Injuries are an increasing child health concern and have become a leading cause of child mortality in the 1-4 years age group in many developing countries, including Bangladesh. Household observations during 9 months of a community-based pilot of two supervision tools-a door barrier and a playpen-designed to assess their community acceptability in rural Bangladesh are reported in this article. Statistical analysis of 2694 observations revealed that children were directly supervised or protected by a preventive tool in 96% of visits. Households with a supervision tool had a significantly lower proportion of observations with the child unsupervised and unprotected than households without a tool. Families that received a playpen had 6.89 times the odds of using it at the time of the visit than families that received a door barrier. Interventions such as the playpen, when introduced to households through community-based programs, are accepted by parents. Field trials are urgently needed to establish the effectiveness of barrier-based interventions at reducing under-five drowning mortality rates in low-income countries like Bangladesh.

  9. 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…

  10. 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…

  11. 77 FR 21099 - Public Water System Supervision Program Approval for the State of Ohio

    Science.gov (United States)

    2012-04-09

    ... AGENCY Public Water System Supervision Program Approval for the State of Ohio AGENCY: Environmental... has tentatively approved three revisions to the State of Ohio's public water system supervision... of Ohio's public water system supervision program, thereby giving Ohio EPA primary...

  12. 77 FR 76034 - Public Water System Supervision Program Approval for the State of Ohio

    Science.gov (United States)

    2012-12-26

    ... AGENCY Public Water System Supervision Program Approval for the State of Ohio AGENCY: Environmental... has tentatively approved revisions to the State of Ohio's public water system supervision program... public water system supervision program, thereby giving Ohio EPA primary enforcement responsibility...

  13. 78 FR 14791 - Public Water System Supervision Program Approval for the State of Indiana

    Science.gov (United States)

    2013-03-07

    ... AGENCY Public Water System Supervision Program Approval for the State of Indiana AGENCY: Environmental... has tentatively approved three revisions to the State of Indiana's public water system supervision... the State of Indiana's public water system supervision program, thereby giving IDEM...

  14. Food Label and You

    Medline Plus

    Full Text Available ... Sports show highlighting the importance of using the nutrition facts label to control portions, fat, calories and percent daily value. Two studio "sports announcers" describe the "game day" food action of ...

  15. FDA Online Label Repository

    Data.gov (United States)

    U.S. Department of Health & Human Services — The drug labels and other drug-specific information on this Web site represent the most recent drug listing information companies have submitted to the Food and Drug...

  16. Figuring Out Food Labels

    Science.gov (United States)

    ... usually appears on the back or side of packaging under the title "Nutrition Facts." It's also displayed in grocery stores near fresh foods, like fruits, vegetables, and fish. The nutrition facts label includes: a column of ...

  17. Food Label and You

    Medline Plus

    Full Text Available ... use the Nutrition Facts Label to make informed food choices. You can view the new video in its ... two sites, comparing serving sizes, ingredients and overall food choices in this "Battle of the Dueling Dinner Parties". ...

  18. Behind the Label "Alcoholic."

    Science.gov (United States)

    Wright, Deborah M.

    1989-01-01

    Relates individual's personal story of her childhood influenced by her parent's alcoholism, her own alcoholism as a young adult, and her experiences with counseling. Asks others not to reject her because of the label "alcoholic." (ABL)

  19. Food Label and You

    Medline Plus

    Full Text Available ... main page content Skip to search Skip to topics menu Skip to common links HHS U.S. Department ... a contestant in food label knowledge. Questions cover topics such as Calories, Serving Size, Servings per Container, ...

  20. A semi-supervised method for predicting transcription factor-gene interactions in Escherichia coli.

    Directory of Open Access Journals (Sweden)

    Jason Ernst

    2008-03-01

    Full Text Available While Escherichia coli has one of the most comprehensive datasets of experimentally verified transcriptional regulatory interactions of any organism, it is still far from complete. This presents a problem when trying to combine gene expression and regulatory interactions to model transcriptional regulatory networks. Using the available regulatory interactions to predict new interactions may lead to better coverage and more accurate models. Here, we develop SEREND (SEmi-supervised REgulatory Network Discoverer, a semi-supervised learning method that uses a curated database of verified transcriptional factor-gene interactions, DNA sequence binding motifs, and a compendium of gene expression data in order to make thousands of new predictions about transcription factor-gene interactions, including whether the transcription factor activates or represses the gene. Using genome-wide binding datasets for several transcription factors, we demonstrate that our semi-supervised classification strategy improves the prediction of targets for a given transcription factor. To further demonstrate the utility of our inferred interactions, we generated a new microarray gene expression dataset for the aerobic to anaerobic shift response in E. coli. We used our inferred interactions with the verified interactions to reconstruct a dynamic regulatory network for this response. The network reconstructed when using our inferred interactions was better able to correctly identify known regulators and suggested additional activators and repressors as having important roles during the aerobic-anaerobic shift interface.