Neighborhood size of training data influences soil map disaggregation

USDA-ARS?s Scientific Manuscript database

Soil class mapping relies on the ability of sample locations to represent portions of the landscape with similar soil types; however, most digital soil mapping (DSM) approaches intersect sample locations with one raster pixel per covariate layer regardless of pixel size. This approach does not take ...

Exploring Academic Achievement in Males Trained in Self-Assessment Skills

ERIC Educational Resources Information Center

McDonald, Betty

2009-01-01

This paper examines academic achievement of males following formal training in self-assessment. It adds to current literature by proposing a tried-and-tested method of improving academic achievement in males at a time when they appear to be marginalised. The sample comprised 515 participants (233 males), representing 25.2% of that high school…

Skills and Training in the Non-Profit Sector. CPRN Research Series on Human Resources in the Non-Profit Sector.

ERIC Educational Resources Information Center

McMullen. Kathryn; Schellenberg, Grant

Training in Canada's nonprofit sector was examined through a review of data from Canada's Workplace and Employer Survey, which collected data from a nationally representative sample of Canadian workplaces and paid employees in those workplaces. Overall, 61% of employees in nonprofit organizations considered a postsecondary credential necessary to…

Learning from Past Classification Errors: Exploring Methods for Improving the Performance of a Deep Learning-based Building Extraction Model through Quantitative Analysis of Commission Errors for Optimal Sample Selection

NASA Astrophysics Data System (ADS)

Swan, B.; Laverdiere, M.; Yang, L.

2017-12-01

In the past five years, deep Convolutional Neural Networks (CNN) have been increasingly favored for computer vision applications due to their high accuracy and ability to generalize well in very complex problems; however, details of how they function and in turn how they may be optimized are still imperfectly understood. In particular, their complex and highly nonlinear network architecture, including many hidden layers and self-learned parameters, as well as their mathematical implications, presents open questions about how to effectively select training data. Without knowledge of the exact ways the model processes and transforms its inputs, intuition alone may fail as a guide to selecting highly relevant training samples. Working in the context of improving a CNN-based building extraction model used for the LandScan USA gridded population dataset, we have approached this problem by developing a semi-supervised, highly-scalable approach to select training samples from a dataset of identified commission errors. Due to the large scope this project, tens of thousands of potential samples could be derived from identified commission errors. To efficiently trim those samples down to a manageable and effective set for creating additional training sample, we statistically summarized the spectral characteristics of areas with rates of commission errors at the image tile level and grouped these tiles using affinity propagation. Highly representative members of each commission error cluster were then used to select sites for training sample creation. The model will be incrementally re-trained with the new training data to allow for an assessment of how the addition of different types of samples affects the model performance, such as precision and recall rates. By using quantitative analysis and data clustering techniques to select highly relevant training samples, we hope to improve model performance in a manner that is resource efficient, both in terms of training process and in sample creation.

Statistical generation of training sets for measuring NO3(-), NH4(+) and major ions in natural waters using an ion selective electrode array.

PubMed

Mueller, Amy V; Hemond, Harold F

2016-05-18

Knowledge of ionic concentrations in natural waters is essential to understand watershed processes. Inorganic nitrogen, in the form of nitrate and ammonium ions, is a key nutrient as well as a participant in redox, acid-base, and photochemical processes of natural waters, leading to spatiotemporal patterns of ion concentrations at scales as small as meters or hours. Current options for measurement in situ are costly, relying primarily on instruments adapted from laboratory methods (e.g., colorimetric, UV absorption); free-standing and inexpensive ISE sensors for NO3(-) and NH4(+) could be attractive alternatives if interferences from other constituents were overcome. Multi-sensor arrays, coupled with appropriate non-linear signal processing, offer promise in this capacity but have not yet successfully achieved signal separation for NO3(-) and NH4(+)in situ at naturally occurring levels in unprocessed water samples. A novel signal processor, underpinned by an appropriate sensor array, is proposed that overcomes previous limitations by explicitly integrating basic chemical constraints (e.g., charge balance). This work further presents a rationalized process for the development of such in situ instrumentation for NO3(-) and NH4(+), including a statistical-modeling strategy for instrument design, training/calibration, and validation. Statistical analysis reveals that historical concentrations of major ionic constituents in natural waters across New England strongly covary and are multi-modal. This informs the design of a statistically appropriate training set, suggesting that the strong covariance of constituents across environmental samples can be exploited through appropriate signal processing mechanisms to further improve estimates of minor constituents. Two artificial neural network architectures, one expanded to incorporate knowledge of basic chemical constraints, were tested to process outputs of a multi-sensor array, trained using datasets of varying degrees of statistical representativeness to natural water samples. The accuracy of ANN results improves monotonically with the statistical representativeness of the training set (error decreases by ∼5×), while the expanded neural network architecture contributes a further factor of 2-3.5 decrease in error when trained with the most representative sample set. Results using the most statistically accurate set of training samples (which retain environmentally relevant ion concentrations but avoid the potential interference of humic acids) demonstrated accurate, unbiased quantification of nitrate and ammonium at natural environmental levels (±20% down to <10 μM), as well as the major ions Na(+), K(+), Ca(2+), Mg(2+), Cl(-), and SO4(2-), in unprocessed samples. These results show promise for the development of new in situ instrumentation for the support of scientific field work.

How People Choose Vocational Education and Training Programs: Social, Education and Personal Influences on Aspiration.

ERIC Educational Resources Information Center

Maxwell, Graham; Cooper, Maureen; Biggs, Neville

The reasons why Australians choose to enroll in vocational education and training (VET) programs were examined through a questionnaire survey and site visits. The questionnaire yielded responses from 1,501 VET students of a target sample of 3,000 students who were equally representative of the following fields of study: business, engineering,…

Pharmaceutical representatives' beliefs and practices about their professional practice: a study in Sudan.

PubMed

Idris, K M; Mustafa, A F; Yousif, M A

2012-08-01

Pharmaceutical representatives are an important promotional tool for pharmaceutical companies. This cross-sectional, exploratory study aimed to determine pharmaceutical representatives' beliefs and practices about their professional practice in Sudan. A random sample of 160 pharmaceutical representatives were interviewed using a pretested questionnaire. The majority were male (84.4%) and had received training in professional sales skills (86.3%) and about the products being promoted (82.5%). Only 65.6% agreed that they provided full and balanced information about products. Not providing balanced information was attributed by 23.1% to doctors' lack of time. However, 28.1% confessed they sometimes felt like hiding unfavourable information, 21.9% were sometimes or always inclined to give untrue information to make sales and 66.9% considered free gifts as ethically acceptable. More attention is needed to dissemination of ethical codes of conduct and training about the ethics of drug promotion for pharmaceutical representatives in Sudan.

Compliance Testing of Grissom AFB Central Heating Plant Coal-Fired Boilers 3, 4, and 5, Grissom AFB, Indiana

DTIC Science & Technology

1989-06-01

to a common breeching and can be routed to the wet -scrubber or to a bypass stack. The scrubber is a double-alkali flue - gas desulfurization system...the ambient air Bw. = proportion by volume of water vapor in F, = a factor representing a ratio of the vol. the stack gas . ume of wet flue gases...Scrubbers and Bypass Stacks 4 3 Flue Gas Flow Diagram 5 4 ORSAT Sampling Train 8 5 ORSAT Apparatus 8 6 Particulate Sampling Train 9 Table 1 Emission

Various views of STS-95 Senator John Glenn during training

NASA Image and Video Library

1998-06-18

S98-08736 (9 April 1998) --- The STS-95 crew members sample space food as part of their training agenda for the scheduled late October/early November mission aboard the Space Shuttle Discovery. From the left are Pedro Duque, mission specialist representing the European Space Agency (ESA); Scott E. Parazynski, mission specialist; Steven W. Lindsey, pilot; Stephen K. Robinson, mission specialist; Chiaki Mukai, payload specialist representing Japan's National Space Development Agency (NASDA); U.S. Sen. John H. Glenn Jr., payload specialist; and Curtis L. Brown Jr., commander. The photo was taken by Joe McNally, National Geographic, for NASA.

Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey

USGS Publications Warehouse

Pengra, Bruce; Gallant, Alisa L.; Zhu, Zhe; Dahal, Devendra

2016-01-01

The U.S. Geological Survey (USGS) has begun the development of operational, 30-m resolution annual thematic land cover data to meet the needs of a variety of land cover data users. The Continuous Change Detection and Classification (CCDC) algorithm is being evaluated as the likely methodology following early trials. Data for training and testing of CCDC thematic maps have been provided by the USGS Land Cover Trends (LC Trends) project, which offers sample-based, manually classified thematic land cover data at 2755 probabilistically located sample blocks across the conterminous United States. These samples represent a high quality, well distributed source of data to train the Random Forest classifier invoked by CCDC. We evaluated the suitability of LC Trends data to train the classifier by assessing the agreement of annual land cover maps output from CCDC with output from the LC Trends project within 14 Landsat path/row locations across the conterminous United States. We used a small subset of circa 2000 data from the LC Trends project to train the classifier, reserving the remaining Trends data from 2000, and incorporating LC Trends data from 1992, to evaluate measures of agreement across time, space, and thematic classes, and to characterize disagreement. Overall agreement ranged from 75% to 98% across the path/rows, and results were largely consistent across time. Land cover types that were well represented in the training data tended to have higher rates of agreement between LC Trends and CCDC outputs. Characteristics of disagreement are being used to improve the use of LC Trends data as a continued source of training information for operational production of annual land cover maps.

Exploring Representativeness and Informativeness for Active Learning.

PubMed

Du, Bo; Wang, Zengmao; Zhang, Lefei; Zhang, Liangpei; Liu, Wei; Shen, Jialie; Tao, Dacheng

2017-01-01

How can we find a general way to choose the most suitable samples for training a classifier? Even with very limited prior information? Active learning, which can be regarded as an iterative optimization procedure, plays a key role to construct a refined training set to improve the classification performance in a variety of applications, such as text analysis, image recognition, social network modeling, etc. Although combining representativeness and informativeness of samples has been proven promising for active sampling, state-of-the-art methods perform well under certain data structures. Then can we find a way to fuse the two active sampling criteria without any assumption on data? This paper proposes a general active learning framework that effectively fuses the two criteria. Inspired by a two-sample discrepancy problem, triple measures are elaborately designed to guarantee that the query samples not only possess the representativeness of the unlabeled data but also reveal the diversity of the labeled data. Any appropriate similarity measure can be employed to construct the triple measures. Meanwhile, an uncertain measure is leveraged to generate the informativeness criterion, which can be carried out in different ways. Rooted in this framework, a practical active learning algorithm is proposed, which exploits a radial basis function together with the estimated probabilities to construct the triple measures and a modified best-versus-second-best strategy to construct the uncertain measure, respectively. Experimental results on benchmark datasets demonstrate that our algorithm consistently achieves superior performance over the state-of-the-art active learning algorithms.

Sample selection via angular distance in the space of the arguments of an artificial neural network

NASA Astrophysics Data System (ADS)

Fernández Jaramillo, J. M.; Mayerle, R.

2018-05-01

In the construction of an artificial neural network (ANN) a proper data splitting of the available samples plays a major role in the training process. This selection of subsets for training, testing and validation affects the generalization ability of the neural network. Also the number of samples has an impact in the time required for the design of the ANN and the training. This paper introduces an efficient and simple method for reducing the set of samples used for training a neural network. The method reduces the required time to calculate the network coefficients, while keeping the diversity and avoiding overtraining the ANN due the presence of similar samples. The proposed method is based on the calculation of the angle between two vectors, each one representing one input of the neural network. When the angle formed among samples is smaller than a defined threshold only one input is accepted for the training. The accepted inputs are scattered throughout the sample space. Tidal records are used to demonstrate the proposed method. The results of a cross-validation show that with few inputs the quality of the outputs is not accurate and depends on the selection of the first sample, but as the number of inputs increases the accuracy is improved and differences among the scenarios with a different starting sample have and important reduction. A comparison with the K-means clustering algorithm shows that for this application the proposed method with a smaller number of samples is producing a more accurate network.

Scene recognition based on integrating active learning with dictionary learning

NASA Astrophysics Data System (ADS)

Wang, Chengxi; Yin, Xueyan; Yang, Lin; Gong, Chengrong; Zheng, Caixia; Yi, Yugen

2018-04-01

Scene recognition is a significant topic in the field of computer vision. Most of the existing scene recognition models require a large amount of labeled training samples to achieve a good performance. However, labeling image manually is a time consuming task and often unrealistic in practice. In order to gain satisfying recognition results when labeled samples are insufficient, this paper proposed a scene recognition algorithm named Integrating Active Learning and Dictionary Leaning (IALDL). IALDL adopts projective dictionary pair learning (DPL) as classifier and introduces active learning mechanism into DPL for improving its performance. When constructing sampling criterion in active learning, IALDL considers both the uncertainty and representativeness as the sampling criteria to effectively select the useful unlabeled samples from a given sample set for expanding the training dataset. Experiment results on three standard databases demonstrate the feasibility and validity of the proposed IALDL.

Outcome Evaluation of "Cool and Clean", a Sports-Based Substance Use Prevention Programme for Young People in Switzerland

ERIC Educational Resources Information Center

Wicki, Matthias; Kuntsche, Sandra; Stucki, Stephanie; Marmet, Simon; Annaheim, Beatrice

2018-01-01

Aims: The aim of this study was to evaluate the outcomes of Cool and Clean, Switzerland's largest substance use prevention programme, targeted specifically at 10- to 20-year-olds who belong to a sports club and train as part of a team. Method: Based on a representative sample of young people who belong to a sports club and train as part of a team…

Reconstruction of three-dimensional porous media using generative adversarial neural networks

NASA Astrophysics Data System (ADS)

Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J.

2017-10-01

To evaluate the variability of multiphase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the variability in the inherent material properties is often experimentally not feasible. We present a method to reconstruct the solid-void structure of porous media by applying a generative neural network that allows an implicit description of the probability distribution represented by three-dimensional image data sets. We show, by using an adversarial learning approach for neural networks, that this method of unsupervised learning is able to generate representative samples of porous media that honor their statistics. We successfully compare measures of pore morphology, such as the Euler characteristic, two-point statistics, and directional single-phase permeability of synthetic realizations with the calculated properties of a bead pack, Berea sandstone, and Ketton limestone. Results show that generative adversarial networks can be used to reconstruct high-resolution three-dimensional images of porous media at different scales that are representative of the morphology of the images used to train the neural network. The fully convolutional nature of the trained neural network allows the generation of large samples while maintaining computational efficiency. Compared to classical stochastic methods of image reconstruction, the implicit representation of the learned data distribution can be stored and reused to generate multiple realizations of the pore structure very rapidly.

Residential Energy Consumption Survey (RECS)

EIA Publications

2028-01-01

EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Traditionally, specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. Data include energy costs and usage for heating, cooling, appliances and other end uses.

Integrating conventional and inverse representation for face recognition.

PubMed

Xu, Yong; Li, Xuelong; Yang, Jian; Lai, Zhihui; Zhang, David

2014-10-01

Representation-based classification methods are all constructed on the basis of the conventional representation, which first expresses the test sample as a linear combination of the training samples and then exploits the deviation between the test sample and the expression result of every class to perform classification. However, this deviation does not always well reflect the difference between the test sample and each class. With this paper, we propose a novel representation-based classification method for face recognition. This method integrates conventional and the inverse representation-based classification for better recognizing the face. It first produces conventional representation of the test sample, i.e., uses a linear combination of the training samples to represent the test sample. Then it obtains the inverse representation, i.e., provides an approximation representation of each training sample of a subject by exploiting the test sample and training samples of the other subjects. Finally, the proposed method exploits the conventional and inverse representation to generate two kinds of scores of the test sample with respect to each class and combines them to recognize the face. The paper shows the theoretical foundation and rationale of the proposed method. Moreover, this paper for the first time shows that a basic nature of the human face, i.e., the symmetry of the face can be exploited to generate new training and test samples. As these new samples really reflect some possible appearance of the face, the use of them will enable us to obtain higher accuracy. The experiments show that the proposed conventional and inverse representation-based linear regression classification (CIRLRC), an improvement to linear regression classification (LRC), can obtain very high accuracy and greatly outperforms the naive LRC and other state-of-the-art conventional representation based face recognition methods. The accuracy of CIRLRC can be 10% greater than that of LRC.

Comparison of Hybrid Classifiers for Crop Classification Using Normalized Difference Vegetation Index Time Series: A Case Study for Major Crops in North Xinjiang, China

PubMed Central

Hao, Pengyu; Wang, Li; Niu, Zheng

2015-01-01

A range of single classifiers have been proposed to classify crop types using time series vegetation indices, and hybrid classifiers are used to improve discriminatory power. Traditional fusion rules use the product of multi-single classifiers, but that strategy cannot integrate the classification output of machine learning classifiers. In this research, the performance of two hybrid strategies, multiple voting (M-voting) and probabilistic fusion (P-fusion), for crop classification using NDVI time series were tested with different training sample sizes at both pixel and object levels, and two representative counties in north Xinjiang were selected as study area. The single classifiers employed in this research included Random Forest (RF), Support Vector Machine (SVM), and See 5 (C 5.0). The results indicated that classification performance improved (increased the mean overall accuracy by 5%~10%, and reduced standard deviation of overall accuracy by around 1%) substantially with the training sample number, and when the training sample size was small (50 or 100 training samples), hybrid classifiers substantially outperformed single classifiers with higher mean overall accuracy (1%~2%). However, when abundant training samples (4,000) were employed, single classifiers could achieve good classification accuracy, and all classifiers obtained similar performances. Additionally, although object-based classification did not improve accuracy, it resulted in greater visual appeal, especially in study areas with a heterogeneous cropping pattern. PMID:26360597

There is a long way to go: a nationwide survey of professional training for mental health practitioners in China.

PubMed

Gao, Xiao; Jackson, Todd; Chen, Hong; Liu, Yanmei; Wang, Ruiqiang; Qian, Mingyi; Huang, Xiting

2010-04-01

This nationwide survey of professional training for mental health practitioners (i.e., psychiatrists, psychiatric nurses, clinical psychologists, and the counselors working in industry, prisons, and schools) investigated sociodemographic characteristics, training experiences, and training perceptions of mental health service providers in China. Participants included service providers recruited from hospitals, universities, high/middle schools, private mental health service organizations and counseling centers operated by government, prisons or corporations from 25 provinces and four cities directly under the Central Government in China. In order to obtain a broad and representative sample, stratified multi-stage sampling procedures were utilized. From a total of 2000 questionnaire packets distributed via regular mail, the final sample comprised of 1391 respondents (525 men, 866 women). About 70% of the sample had a bachelor's level education or lower degree, only 36.4% majored in psychology, and nearly 60% were employed part time. Fewer than half of participants were certified and nearly 40% reported no affiliation with any 'professional' association. Training and continuing education programs were reported to be primarily short term and theory-based with limited assessment and follow-up. A high proportion of respondents reported having received no supervision or opportunities for case conferences or consultations. With respect to perceptions of and satisfaction with training, many agreed that training had been very helpful to their work but quality of supervision and the capability of supervisors were common issues of concern. In light of these findings, three general recommendations were made to improve the quality of training among mental health service providers in China. First, increased input from professional organizations of various disciplines involving mental health service provision is needed to guide training and shape policy. Second, universities and colleges should have a more vital role in developing accredited professional training programs. Finally, on-the-job supervision and continuing education should be mandated within discipline-specific training programs. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition

NASA Astrophysics Data System (ADS)

Song, Xiaoning; Feng, Zhen-Hua; Hu, Guosheng; Yang, Xibei; Yang, Jingyu; Qi, Yunsong

2015-09-01

This paper proposes a progressive sparse representation-based classification algorithm using local discrete cosine transform (DCT) evaluation to perform face recognition. Specifically, the sum of the contributions of all training samples of each subject is first taken as the contribution of this subject, then the redundant subject with the smallest contribution to the test sample is iteratively eliminated. Second, the progressive method aims at representing the test sample as a linear combination of all the remaining training samples, by which the representation capability of each training sample is exploited to determine the optimal "nearest neighbors" for the test sample. Third, the transformed DCT evaluation is constructed to measure the similarity between the test sample and each local training sample using cosine distance metrics in the DCT domain. The final goal of the proposed method is to determine an optimal weighted sum of nearest neighbors that are obtained under the local correlative degree evaluation, which is approximately equal to the test sample, and we can use this weighted linear combination to perform robust classification. Experimental results conducted on the ORL database of faces (created by the Olivetti Research Laboratory in Cambridge), the FERET face database (managed by the Defense Advanced Research Projects Agency and the National Institute of Standards and Technology), AR face database (created by Aleix Martinez and Robert Benavente in the Computer Vision Center at U.A.B), and USPS handwritten digit database (gathered at the Center of Excellence in Document Analysis and Recognition at SUNY Buffalo) demonstrate the effectiveness of the proposed method.

Chemometric brand differentiation of commercial spices using direct analysis in real time mass spectrometry.

PubMed

Pavlovich, Matthew J; Dunn, Emily E; Hall, Adam B

2016-05-15

Commercial spices represent an emerging class of fuels for improvised explosives. Being able to classify such spices not only by type but also by brand would represent an important step in developing methods to analytically investigate these explosive compositions. Therefore, a combined ambient mass spectrometric/chemometric approach was developed to quickly and accurately classify commercial spices by brand. Direct analysis in real time mass spectrometry (DART-MS) was used to generate mass spectra for samples of black pepper, cayenne pepper, and turmeric, along with four different brands of cinnamon, all dissolved in methanol. Unsupervised learning techniques showed that the cinnamon samples clustered according to brand. Then, we used supervised machine learning algorithms to build chemometric models with a known training set and classified the brands of an unknown testing set of cinnamon samples. Ten independent runs of five-fold cross-validation showed that the training set error for the best-performing models (i.e., the linear discriminant and neural network models) was lower than 2%. The false-positive percentages for these models were 3% or lower, and the false-negative percentages were lower than 10%. In particular, the linear discriminant model perfectly classified the testing set with 0% error. Repeated iterations of training and testing gave similar results, demonstrating the reproducibility of these models. Chemometric models were able to classify the DART mass spectra of commercial cinnamon samples according to brand, with high specificity and low classification error. This method could easily be generalized to other classes of spices, and it could be applied to authenticating questioned commercial samples of spices or to examining evidence from improvised explosives. Copyright © 2016 John Wiley & Sons, Ltd.

The Public Health Workforce Interests and Needs Survey: The First National Survey of State Health Agency Employees

PubMed Central

Sellers, Katie; Leider, Jonathon P.; Harper, Elizabeth; Castrucci, Brian C.; Bharthapudi, Kiran; Liss-Levinson, Rivka; Jarris, Paul E.; Hunter, Edward L.

2015-01-01

Context: Public health practitioners, policy makers, and researchers alike have called for more data on individual worker's perceptions about workplace environment, job satisfaction, and training needs for a quarter of a century. The Public Health Workforce Interests and Needs Survey (PH WINS) was created to answer that call. Objective: Characterize key components of the public health workforce, including demographics, workplace environment, perceptions about national trends, and perceived training needs. Design: A nationally representative survey of central office employees at state health agencies (SHAs) was conducted in 2014. Approximately 25 000 e-mail invitations to a Web-based survey were sent out to public health staff in 37 states, based on a stratified sampling approach. Balanced repeated replication weights were used to account for the complex sampling design. Setting and Participants: A total of 10 246 permanently employed SHA central office employees participated in PH WINS (46% response rate). Main Outcome Measures: Perceptions about training needs; workplace environment and job satisfaction; national initiatives and trends; and demographics. Results: Although the majority of staff said they were somewhat or very satisfied with their job (79%; 95% confidence interval [CI], 78-80), as well as their organization (65%; 95% CI, 64-66), more than 42% (95% CI, 41-43) were considering leaving their organization in the next year or retiring before 2020; 4% of those were considering leaving for another job elsewhere in governmental public health. The majority of public health staff at SHA central offices are female (72%; 95% CI, 71-73), non-Hispanic white (70%; 95% CI, 69-71), and older than 40 years (73%; 95% CI, 72-74). The greatest training needs include influencing policy development, preparing a budget, and training related to the social determinants of health. Conclusions: PH WINS represents the first nationally representative survey of SHA employees. It holds significant potential to help answer previously unaddressed questions in public health workforce research and provides actionable findings for SHA leaders. PMID:26422482

The Public Health Workforce Interests and Needs Survey: The First National Survey of State Health Agency Employees.

PubMed

Sellers, Katie; Leider, Jonathon P; Harper, Elizabeth; Castrucci, Brian C; Bharthapudi, Kiran; Liss-Levinson, Rivka; Jarris, Paul E; Hunter, Edward L

2015-01-01

Public health practitioners, policy makers, and researchers alike have called for more data on individual worker's perceptions about workplace environment, job satisfaction, and training needs for a quarter of a century. The Public Health Workforce Interests and Needs Survey (PH WINS) was created to answer that call. Characterize key components of the public health workforce, including demographics, workplace environment, perceptions about national trends, and perceived training needs. A nationally representative survey of central office employees at state health agencies (SHAs) was conducted in 2014. Approximately 25,000 e-mail invitations to a Web-based survey were sent out to public health staff in 37 states, based on a stratified sampling approach. Balanced repeated replication weights were used to account for the complex sampling design. A total of 10,246 permanently employed SHA central office employees participated in PH WINS (46% response rate). Perceptions about training needs; workplace environment and job satisfaction; national initiatives and trends; and demographics. Although the majority of staff said they were somewhat or very satisfied with their job (79%; 95% confidence interval [CI], 78-80), as well as their organization (65%; 95% CI, 64-66), more than 42% (95% CI, 41-43) were considering leaving their organization in the next year or retiring before 2020; 4% of those were considering leaving for another job elsewhere in governmental public health. The majority of public health staff at SHA central offices are female (72%; 95% CI, 71-73), non-Hispanic white (70%; 95% CI, 69-71), and older than 40 years (73%; 95% CI, 72-74). The greatest training needs include influencing policy development, preparing a budget, and training related to the social determinants of health. PH WINS represents the first nationally representative survey of SHA employees. It holds significant potential to help answer previously unaddressed questions in public health workforce research and provides actionable findings for SHA leaders.

Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

PubMed

Tang, Xin; Feng, Guo-Can; Li, Xiao-Xin; Cai, Jia-Xin

2015-01-01

Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial variations of that person under testing conditions, sparse representation based classification (SRC) achieves very promising results. However, in many applications, face recognition often encounters the small sample size problem arising from the small number of available training images for each person. In this paper, we present a novel face recognition framework by utilizing low-rank and sparse error matrix decomposition, and sparse coding techniques (LRSE+SC). Firstly, the low-rank matrix recovery technique is applied to decompose the face images per class into a low-rank matrix and a sparse error matrix. The low-rank matrix of each individual is a class-specific dictionary and it captures the discriminative feature of this individual. The sparse error matrix represents the intra-class variations, such as illumination, expression changes. Secondly, we combine the low-rank part (representative basis) of each person into a supervised dictionary and integrate all the sparse error matrix of each individual into a within-individual variant dictionary which can be applied to represent the possible variations between the testing and training images. Then these two dictionaries are used to code the query image. The within-individual variant dictionary can be shared by all the subjects and only contribute to explain the lighting conditions, expressions, and occlusions of the query image rather than discrimination. At last, a reconstruction-based scheme is adopted for face recognition. Since the within-individual dictionary is introduced, LRSE+SC can handle the problem of the corrupted training data and the situation that not all subjects have enough samples for training. Experimental results show that our method achieves the state-of-the-art results on AR, FERET, FRGC and LFW databases.

Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition

PubMed Central

Tang, Xin; Feng, Guo-can; Li, Xiao-xin; Cai, Jia-xin

2015-01-01

Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial variations of that person under testing conditions, sparse representation based classification (SRC) achieves very promising results. However, in many applications, face recognition often encounters the small sample size problem arising from the small number of available training images for each person. In this paper, we present a novel face recognition framework by utilizing low-rank and sparse error matrix decomposition, and sparse coding techniques (LRSE+SC). Firstly, the low-rank matrix recovery technique is applied to decompose the face images per class into a low-rank matrix and a sparse error matrix. The low-rank matrix of each individual is a class-specific dictionary and it captures the discriminative feature of this individual. The sparse error matrix represents the intra-class variations, such as illumination, expression changes. Secondly, we combine the low-rank part (representative basis) of each person into a supervised dictionary and integrate all the sparse error matrix of each individual into a within-individual variant dictionary which can be applied to represent the possible variations between the testing and training images. Then these two dictionaries are used to code the query image. The within-individual variant dictionary can be shared by all the subjects and only contribute to explain the lighting conditions, expressions, and occlusions of the query image rather than discrimination. At last, a reconstruction-based scheme is adopted for face recognition. Since the within-individual dictionary is introduced, LRSE+SC can handle the problem of the corrupted training data and the situation that not all subjects have enough samples for training. Experimental results show that our method achieves the state-of-the-art results on AR, FERET, FRGC and LFW databases. PMID:26571112

40 CFR 264.1 - Purpose, scope and applicability.

Code of Federal Regulations, 2010 CFR

2010-07-01

... the requirements of this part, and on how to respond effectively to emergencies; (6) Take precautions...; (2) Obtain a detailed chemical and physical analysis of a representative sample of the hazardous... must take remedial action immediately; (5) Provide personnel with classroom or on-the-job training on...

Iterative random vs. Kennard-Stone sampling for IR spectrum-based classification task using PLS2-DA

NASA Astrophysics Data System (ADS)

Lee, Loong Chuen; Liong, Choong-Yeun; Jemain, Abdul Aziz

2018-04-01

External testing (ET) is preferred over auto-prediction (AP) or k-fold-cross-validation in estimating more realistic predictive ability of a statistical model. With IR spectra, Kennard-stone (KS) sampling algorithm is often used to split the data into training and test sets, i.e. respectively for model construction and for model testing. On the other hand, iterative random sampling (IRS) has not been the favored choice though it is theoretically more likely to produce reliable estimation. The aim of this preliminary work is to compare performances of KS and IRS in sampling a representative training set from an attenuated total reflectance - Fourier transform infrared spectral dataset (of four varieties of blue gel pen inks) for PLS2-DA modeling. The `best' performance achievable from the dataset is estimated with AP on the full dataset (APF, error). Both IRS (n = 200) and KS were used to split the dataset in the ratio of 7:3. The classic decision rule (i.e. maximum value-based) is employed for new sample prediction via partial least squares - discriminant analysis (PLS2-DA). Error rate of each model was estimated repeatedly via: (a) AP on full data (APF, error); (b) AP on training set (APS, error); and (c) ET on the respective test set (ETS, error). A good PLS2-DA model is expected to produce APS, error and EVS, error that is similar to the APF, error. Bearing that in mind, the similarities between (a) APS, error vs. APF, error; (b) ETS, error vs. APF, error and; (c) APS, error vs. ETS, error were evaluated using correlation tests (i.e. Pearson and Spearman's rank test), using series of PLS2-DA models computed from KS-set and IRS-set, respectively. Overall, models constructed from IRS-set exhibits more similarities between the internal and external error rates than the respective KS-set, i.e. less risk of overfitting. In conclusion, IRS is more reliable than KS in sampling representative training set.

Locality-preserving sparse representation-based classification in hyperspectral imagery

NASA Astrophysics Data System (ADS)

Gao, Lianru; Yu, Haoyang; Zhang, Bing; Li, Qingting

2016-10-01

This paper proposes to combine locality-preserving projections (LPP) and sparse representation (SR) for hyperspectral image classification. The LPP is first used to reduce the dimensionality of all the training and testing data by finding the optimal linear approximations to the eigenfunctions of the Laplace Beltrami operator on the manifold, where the high-dimensional data lies. Then, SR codes the projected testing pixels as sparse linear combinations of all the training samples to classify the testing pixels by evaluating which class leads to the minimum approximation error. The integration of LPP and SR represents an innovative contribution to the literature. The proposed approach, called locality-preserving SR-based classification, addresses the imbalance between high dimensionality of hyperspectral data and the limited number of training samples. Experimental results on three real hyperspectral data sets demonstrate that the proposed approach outperforms the original counterpart, i.e., SR-based classification.

Levels of fecal corticosterone in sandhill cranes during a human-led migration.

PubMed

Hartup, Barry K; Olsen, Glenn H; Czekala, Nancy M; Paul-Murphy, Joanne; Langenberg, Julia A

2004-04-01

Fourteen captive-reared greater sandhill cranes (Grus canadensis tabida) were conditioned to follow ultralight aircraft to promote migration between Wisconsin and Florida (USA) after release. Fecal samples were collected throughout the training period in Wisconsin and during a l977-km human-led migration to Florida to determine fecal corticosterone (FC) concentrations by radioimmunnoassay. The mean (+/-SE) FC concentration during the training period was 109.5 +/- 7.5 ng/g and was representative of baseline levels recorded previously from sandhill cranes. Fecal corticosterone concentrations increased in early migration compared to concentrations I mo prior to departure (P < 0.01) but were not different from baseline concentrations at tile end of the 6-wk migration period. The variability of FC concentrations in individual samples was greater throughout the migration than the training period. Increases in FC during migration were modest and generally consistent with normal corticosterone elevations observed in migrating birds.

Survey of Employers.

ERIC Educational Resources Information Center

European Social Fund, Dublin (Ireland).

A study examined attitudes of Irish employers toward vocational training (VT) activities, state agencies responsible for administering VT, and the skills that employees would need in the future. Of a sample of 500 firms that were selected as being representative from the standpoints of size, sector, location, and form of ownership, 219 were…

Interactions Between Pharmaceutical Representatives and Doctors in Training

PubMed Central

Zipkin, Daniella A; Steinman, Michael A

2005-01-01

Objective Medical school and residency are formative years in establishing patterns of prescribing. We aimed to review the literature regarding the extent of pharmaceutical industry contact with trainees, attitudes about these interactions, and effects on trainee prescribing behavior, with an emphasis on points of potential intervention and policy formation. Design We searched MEDLINE from 1966 until May 2004 for English language articles. All original articles were included if the abstract reported content relevant to medical training and the pharmaceutical industry. Editorials, guidelines, and policy recommendations were excluded. Measurements and Main Results Contact with pharmaceutical representatives was common among residents. The majority of trainees felt that the interactions were appropriate. A minority felt that their own prescribing could be influenced by contact or gifts, but were more likely to believe that others' prescribing could be influenced. Resident prescribing was associated with pharmaceutical representative visits and the availability of samples. A variety of policy and educational interventions appear to influence resident attitudes toward interactions with industry, although data on the long-term effects of these interventions are limited. Overall, residents reported insufficient training in this area. Conclusions The pharmaceutical industry has a significant presence during residency training, has gained the overall acceptance of trainees, and appears to influence prescribing behavior. Training programs can benefit from policies and curricula that teach residents about industry influence and ways in which to critically evaluate information that they are given. Recommendations for local and national approaches are discussed. PMID:16050893

A sampling approach for predicting the eating quality of apples using visible-near infrared spectroscopy.

PubMed

Martínez Vega, Mabel V; Sharifzadeh, Sara; Wulfsohn, Dvoralai; Skov, Thomas; Clemmensen, Line Harder; Toldam-Andersen, Torben B

2013-12-01

Visible-near infrared spectroscopy remains a method of increasing interest as a fast alternative for the evaluation of fruit quality. The success of the method is assumed to be achieved by using large sets of samples to produce robust calibration models. In this study we used representative samples of an early and a late season apple cultivar to evaluate model robustness (in terms of prediction ability and error) on the soluble solids content (SSC) and acidity prediction, in the wavelength range 400-1100 nm. A total of 196 middle-early season and 219 late season apples (Malus domestica Borkh.) cvs 'Aroma' and 'Holsteiner Cox' samples were used to construct spectral models for SSC and acidity. Partial least squares (PLS), ridge regression (RR) and elastic net (EN) models were used to build prediction models. Furthermore, we compared three sub-sample arrangements for forming training and test sets ('smooth fractionator', by date of measurement after harvest and random). Using the 'smooth fractionator' sampling method, fewer spectral bands (26) and elastic net resulted in improved performance for SSC models of 'Aroma' apples, with a coefficient of variation CVSSC = 13%. The model showed consistently low errors and bias (PLS/EN: R(2) cal = 0.60/0.60; SEC = 0.88/0.88°Brix; Biascal = 0.00/0.00; R(2) val = 0.33/0.44; SEP = 1.14/1.03; Biasval = 0.04/0.03). However, the prediction acidity and for SSC (CV = 5%) of the late cultivar 'Holsteiner Cox' produced inferior results as compared with 'Aroma'. It was possible to construct local SSC and acidity calibration models for early season apple cultivars with CVs of SSC and acidity around 10%. The overall model performance of these data sets also depend on the proper selection of training and test sets. The 'smooth fractionator' protocol provided an objective method for obtaining training and test sets that capture the existing variability of the fruit samples for construction of visible-NIR prediction models. The implication is that by using such 'efficient' sampling methods for obtaining an initial sample of fruit that represents the variability of the population and for sub-sampling to form training and test sets it should be possible to use relatively small sample sizes to develop spectral predictions of fruit quality. Using feature selection and elastic net appears to improve the SSC model performance in terms of R(2), RMSECV and RMSEP for 'Aroma' apples. © 2013 Society of Chemical Industry.

Unmet demand for training among mature age Australians: Prevalence, differentials and perceived causes.

PubMed

Adair, Tim; Lourey, Emma; Taylor, Philip

2016-03-01

To explore the prevalence of unmet demand for training by mature age Australians and to identify the main barriers to accessing training. A total of 3007 Australians aged 45-74 years were surveyed using Computer Assisted Telephone Interviewing. The sample frame was randomly selected and stratified based on the capital city and the rest of the state, and data were weighted to be nationally representative. Over one-third (37%) of respondents who had worked in the past five years reported wanting to attend some form of training but were unable to; these were most likely women and those aged 45-54 year. Commonly cited reasons for not being able to attend training included not being able to fit it in with work commitments, affordability and employer reluctance. Reduction of these barriers to workplace training can improve mature age people's ability to remain engaged in the workforce. © 2015 AJA Inc.

A unique modulation system for two channel data transmission

NASA Technical Reports Server (NTRS)

Melrose, B. T.

1972-01-01

A simple low cost system is reported for the telemetry of information from meteorological rocket payloads including parachute borne systems. It uses S- or L-band microwave links with low cost oscillator type transmitters. An extension of this system to transmit two channels of data simultaneously by standard time and frequency multiplexing techniques as a sampled pulse is described. One channel is represented by the pulse repetition rate while the other channel is represented by the instantaneous duty cycle of the pulse train.

The School of Posture as a postural training method for Paraíba Telecommunications Operators.

PubMed

Cardia, M C; Soares Màsculo, F

2001-01-01

This work proposes to show the experience of posture training accomplished in the Paraíba State Telecommunication Company, using the knowledge of the Back School. The sample was composed of 12 operators, employees of the company, representing 31% of this population. The model applied in TELPA (Paraíba Telecommunication Company, Brazil) was based on the models of Sherbrooke, Canada, and of the School of Posture of Paraìba Federal University. Fifty-eight point four percent of participants showed a reduction of column pain, 25% improved the quality of the rest and the received training was considered enough for the learning of correct postures at work in 75% of the cases. The whole population approved of the training, and 83.3% of the cases considered that this training influenced their lives very positively.

Poor oral health including active caries in 187 UK professional male football players: clinical dental examination performed by dentists.

PubMed

Needleman, Ian; Ashley, Paul; Meehan, Lyndon; Petrie, Aviva; Weiler, Richard; McNally, Steve; Ayer, Chris; Hanna, Rob; Hunt, Ian; Kell, Steven; Ridgewell, Paul; Taylor, Russell

2016-01-01

The few studies that have assessed oral health in professional/elite football suggest poor oral health with minimal data on impact on performance. The aim of this research was to determine oral health in a representative sample of professional footballers in the UK and investigate possible determinants of oral health and self-reported impact on well-being, training and performance. Clinical oral health examination of senior squad players using standard methods and outcomes carried out at club training facilities. Questionnaire data were also collected. 8 teams were included, 5 Premier League, 2 Championship and 1 League One. 6 dentists examined 187 players who represented >90% of each senior squad. Oral health was poor: 37% players had active dental caries, 53% dental erosion and 5% moderate-severe irreversible periodontal disease. 45% were bothered by their oral health, 20% reported an impact on their quality of life and 7% on training or performance. Despite attendance for dental check-ups, oral health deteriorated with age. This is the first large, representative sample study in professional football. Oral health of professional footballers is poor, and this impacts on well-being and performance. Successful strategies to promote oral health within professional football are urgently needed, and research should investigate models based on best evidence for behaviour change and implementation science. Furthermore, this study provides strong evidence to support oral health screening within professional football. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

LiDAR point classification based on sparse representation

NASA Astrophysics Data System (ADS)

Li, Nan; Pfeifer, Norbert; Liu, Chun

2017-04-01

In order to combine the initial spatial structure and features of LiDAR data for accurate classification. The LiDAR data is represented as a 4-order tensor. Sparse representation for classification(SRC) method is used for LiDAR tensor classification. It turns out SRC need only a few of training samples from each class, meanwhile can achieve good classification result. Multiple features are extracted from raw LiDAR points to generate a high-dimensional vector at each point. Then the LiDAR tensor is built by the spatial distribution and feature vectors of the point neighborhood. The entries of LiDAR tensor are accessed via four indexes. Each index is called mode: three spatial modes in direction X ,Y ,Z and one feature mode. Sparse representation for classification(SRC) method is proposed in this paper. The sparsity algorithm is to find the best represent the test sample by sparse linear combination of training samples from a dictionary. To explore the sparsity of LiDAR tensor, the tucker decomposition is used. It decomposes a tensor into a core tensor multiplied by a matrix along each mode. Those matrices could be considered as the principal components in each mode. The entries of core tensor show the level of interaction between the different components. Therefore, the LiDAR tensor can be approximately represented by a sparse tensor multiplied by a matrix selected from a dictionary along each mode. The matrices decomposed from training samples are arranged as initial elements in the dictionary. By dictionary learning, a reconstructive and discriminative structure dictionary along each mode is built. The overall structure dictionary composes of class-specified sub-dictionaries. Then the sparse core tensor is calculated by tensor OMP(Orthogonal Matching Pursuit) method based on dictionaries along each mode. It is expected that original tensor should be well recovered by sub-dictionary associated with relevant class, while entries in the sparse tensor associated with other classed should be nearly zero. Therefore, SRC use the reconstruction error associated with each class to do data classification. A section of airborne LiDAR points of Vienna city is used and classified into 6classes: ground, roofs, vegetation, covered ground, walls and other points. Only 6 training samples from each class are taken. For the final classification result, ground and covered ground are merged into one same class(ground). The classification accuracy for ground is 94.60%, roof is 95.47%, vegetation is 85.55%, wall is 76.17%, other object is 20.39%.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jager, Yetta; Bevelhimer, Mark S; al., et.

Military landscapes represent a mixture of undisturbed natural ecosystems, developed areas, and lands that support different types and intensities of military training. Research to understand water-quality influences of military landscapes usually involves intensive sampling in a few watersheds. In this study, we developed a survey design of accessible headwater watersheds intended to improve our ability to distinguish land water relationships in general, and training influences, in particular, on Fort Stewart, GA. We sampled and analyzed water from watershed outlets. We successfully developed correlative models for total suspended solids (TSS), total nitrogen (TN), organic carbon (OC), and organic nitrogen (ON), whichmore » dominated in this blackwater ecosystem. TSS tended to be greater in samples after rainfall and during the growing season, and models that included %Wetland suggested a build-and-flush relationship. We also detected a positive association between TSS and tank-training, which suggests a need to intercept sediment-laden runoff from training areas. Models for OC showed a negative association with %Grassland. TN and ON both showed negative associations with %Grassland, %Wetland, and %Forest. Unexpected positive associations were observed between OC and equipmenttraining activity and between ON and %Bare ground ? Roads. Future studies that combine our survey-based approach with more intensive monitoring of the timing and intensity of training would be needed to better understand the mechanisms for these empirical relationships involving military training. Looking beyond local effects on Fort Stewart streams, we explore questions about how exports of OC and nitrogen from coastal military installations ultimately influence estuaries downstream.« less

Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

PubMed Central

Thanh Noi, Phan; Kappas, Martin

2017-01-01

In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have compared the performances of these classifiers with different training sample sizes for the same remote sensing images, particularly the Sentinel-2 Multispectral Imager (MSI). In this study, we examined and compared the performances of the RF, kNN, and SVM classifiers for land use/cover classification using Sentinel-2 image data. An area of 30 × 30 km2 within the Red River Delta of Vietnam with six land use/cover types was classified using 14 different training sample sizes, including balanced and imbalanced, from 50 to over 1250 pixels/class. All classification results showed a high overall accuracy (OA) ranging from 90% to 95%. Among the three classifiers and 14 sub-datasets, SVM produced the highest OA with the least sensitivity to the training sample sizes, followed consecutively by RF and kNN. In relation to the sample size, all three classifiers showed a similar and high OA (over 93.85%) when the training sample size was large enough, i.e., greater than 750 pixels/class or representing an area of approximately 0.25% of the total study area. The high accuracy was achieved with both imbalanced and balanced datasets. PMID:29271909

Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery.

PubMed

Thanh Noi, Phan; Kappas, Martin

2017-12-22

In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have compared the performances of these classifiers with different training sample sizes for the same remote sensing images, particularly the Sentinel-2 Multispectral Imager (MSI). In this study, we examined and compared the performances of the RF, kNN, and SVM classifiers for land use/cover classification using Sentinel-2 image data. An area of 30 × 30 km² within the Red River Delta of Vietnam with six land use/cover types was classified using 14 different training sample sizes, including balanced and imbalanced, from 50 to over 1250 pixels/class. All classification results showed a high overall accuracy (OA) ranging from 90% to 95%. Among the three classifiers and 14 sub-datasets, SVM produced the highest OA with the least sensitivity to the training sample sizes, followed consecutively by RF and kNN. In relation to the sample size, all three classifiers showed a similar and high OA (over 93.85%) when the training sample size was large enough, i.e., greater than 750 pixels/class or representing an area of approximately 0.25% of the total study area. The high accuracy was achieved with both imbalanced and balanced datasets.

Basic truths for planning and executing an inventory

Treesearch

2000-01-01

A number of basic truths are presented. The importance of carefully developing the objectives for an inventory is stressed. The use of permanent plots and temporary plots is covered. The necessity of obtaining a representative sample, training effectively, and collecting quality data is discussed. The future direction for forest inventories is suggested.

Stroke Knowledge among Urban and Frontier First Responders and Emergency Medical Technicians in Montana

ERIC Educational Resources Information Center

McNamara, Michael J.; Oser, Carrie; Gohdes, Dorothy; Fogle, Crystelle C.; Dietrich, Dennis W.; Burnett, Anne; Okon, Nicholas; Russell, Joseph A.; DeTienne, James; Harwell, Todd S.; Helgerson, Steven D.

2008-01-01

Purpose: To assess stroke knowledge and practice among frontier and urban emergency medical services (EMS) providers and to evaluate the need for additional prehospital stroke training opportunities in Montana. Methods: In 2006, a telephone survey of a representative sample of EMS providers was conducted in Montana. Respondents were stratified…

School Violence Roles and Sociometric Status among Spanish Students

ERIC Educational Resources Information Center

Pulido, R.; Martin Seoane, G.; Diaz Aguado, M. J.

2010-01-01

This study examines the relation between the social adjustment in the classroom and the role of aggressor or victim, in school violence situations. Participants were 1,635 students (aged 14-18 years old), from a representative sample, with different levels (compulsory secondary education, specific/initial training courses and vocational programs).…

Longitudinal Surveys of Australian Youth (LSAY): 1995 Cohort: User Guide. Technical Report 49

ERIC Educational Resources Information Center

National Centre for Vocational Education Research (NCVER), 2009

2009-01-01

The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. It uses large, nationally representative samples of young people to collect information about education and training, work, and social development. It includes surveys…

An IRT Analysis of Preservice Teacher Self-Efficacy in Technology Integration

ERIC Educational Resources Information Center

Browne, Jeremy

2011-01-01

The need for rigorously developed measures of preservice teacher traits regarding technology integration training has been acknowledged (Kay 2006), but such instruments are still extremely rare. The Technology Integration Confidence Scale (TICS) represents one such measure, but past analyses of its functioning have been limited by sample size and…

Transfer Learning for Class Imbalance Problems with Inadequate Data.

PubMed

Al-Stouhi, Samir; Reddy, Chandan K

2016-07-01

A fundamental problem in data mining is to effectively build robust classifiers in the presence of skewed data distributions. Class imbalance classifiers are trained specifically for skewed distribution datasets. Existing methods assume an ample supply of training examples as a fundamental prerequisite for constructing an effective classifier. However, when sufficient data is not readily available, the development of a representative classification algorithm becomes even more difficult due to the unequal distribution between classes. We provide a unified framework that will potentially take advantage of auxiliary data using a transfer learning mechanism and simultaneously build a robust classifier to tackle this imbalance issue in the presence of few training samples in a particular target domain of interest. Transfer learning methods use auxiliary data to augment learning when training examples are not sufficient and in this paper we will develop a method that is optimized to simultaneously augment the training data and induce balance into skewed datasets. We propose a novel boosting based instance-transfer classifier with a label-dependent update mechanism that simultaneously compensates for class imbalance and incorporates samples from an auxiliary domain to improve classification. We provide theoretical and empirical validation of our method and apply to healthcare and text classification applications.

The impact of database quality on keystroke dynamics authentication

NASA Astrophysics Data System (ADS)

Panasiuk, Piotr; Rybnik, Mariusz; Saeed, Khalid; Rogowski, Marcin

2016-06-01

This paper concerns keystroke dynamics, also partially in the context of touchscreen devices. The authors concentrate on the impact of database quality and propose their algorithm to test database quality issues. The algorithm is used on their own as well as the well-known . Following specific problems were researched: classification accuracy, development of user typing proficiency, time precision during sample acquisition, representativeness of training set, sample length.

Differences in safety training among smaller and larger construction firms with non-native workers: Evidence of overlapping vulnerabilities

PubMed Central

Guerin, Rebecca J.; Keller, Brenna M.; Flynn, Michael A.; Salgado, Cathy; Hudson, Dennis

2017-01-01

Collaborative efforts between the National Institute for Occupational Safety and Health (NIOSH) and the American Society of Safety Engineers (ASSE) led to a report focusing on overlapping occupational vulnerabilities, specifically small construction businesses employing young, non-native workers. Following the report, an online survey was conducted by ASSE with construction business representatives focusing on training experiences of non-native workers. Results were grouped by business size (50 or fewer employees or more than 50 employees). Smaller businesses were less likely to employ a supervisor who speaks the same language as immigrant workers (p < .001). Non-native workers in small businesses received fewer hours of both initial safety training (p = .005) and monthly ongoing safety training (p = .042). Immigrant workers in smaller businesses were less likely to receive every type of safety training identified in the survey (including pre-work safety orientation [p < .001], job-specific training [p < .001], OSHA 10-hour training [p = .001], and federal/state required training [p < .001]). The results highlight some of the challenges a vulnerable worker population faces in a small business, and can be used to better focus intervention efforts. Among businesses represented in this sample, there are deflcits in the amount, frequency, and format of workplace safety and health training provided to non-native workers in smaller construction businesses compared to those in larger businesses. The types of training conducted for non-native workers in small business were less likely to take into account the language and literacy issues faced by these workers. The findings suggest the need for a targeted approach in providing occupational safety and health training to non-native workers employed by smaller construction businesses. PMID:29375194

The 2015-2016 SEPMAP Program at NASA JSC: Science, Engineering, and Program Management Training

NASA Technical Reports Server (NTRS)

Graham, L.; Archer, D.; Bakalyar, J.; Berger, E.; Blome, E.; Brown, R.; Cox, S.; Curiel, P.; Eid, R.; Eppler, D.;

Effects of consensus training on the reliability of auditory perceptual ratings of voice quality.

PubMed

Iwarsson, Jenny; Reinholt Petersen, Niels

2012-05-01

This study investigates the effect of consensus training of listeners on intrarater and interrater reliability and agreement of perceptual voice analysis. The use of such training, including a reference voice sample, could be assumed to make the internal standards held in memory common and more robust, which is of great importance to reduce the variability of auditory perceptual ratings. A prospective design with testing before and after training. Thirteen students of audiologopedics served as listening subjects. The ratings were made using a multidimensional protocol with four-point equal-appearing interval scales. The stimuli consisted of text reading by authentic dysphonic patients. The consensus training for each perceptual voice parameter included (1) definition, (2) underlying physiology, (3) presentation of carefully selected sound examples representing the parameter in three different grades followed by group discussions of perceived characteristics, and (4) practical exercises including imitation to make use of the listeners' proprioception. Intrarater reliability and agreement showed a marked improvement for intermittent aphonia but not for vocal fry. Interrater reliability was high for most parameters before training with a slight increase after training. Interrater agreement showed marked increases for most voice quality parameters as a result of the training. The results support the recommendation of specific consensus training, including use of a reference voice sample material, to calibrate, equalize, and stabilize the internal standards held in memory by the listeners. Copyright © 2012 The Voice Foundation. Published by Mosby, Inc. All rights reserved.

Measurement of atmospheric mercury species with manual sampling and analysis methods in a case study in Indiana

USGS Publications Warehouse

Risch, M.R.; Prestbo, E.M.; Hawkins, L.

2007-01-01

Ground-level concentrations of three atmospheric mercury species were measured using manual sampling and analysis to provide data for estimates of mercury dry deposition. Three monitoring stations were operated simultaneously during winter, spring, and summer 2004, adjacent to three mercury wet-deposition monitoring stations in northern, central, and southern Indiana. The monitoring locations differed in land-use setting and annual mercury-emissions level from nearby sources. A timer-controlled air-sampling system that contained a three-part sampling train was used to isolate reactive gaseous mercury, particulate-bound mercury, and elemental mercury. The sampling trains were exchanged every 6 days, and the mercury species were quantified in a laboratory. A quality-assurance study indicated the sampling trains could be held at least 120 h without a significant change in reactive gaseous or particulate-bound mercury concentrations. The manual sampling method was able to provide valid mercury concentrations in 90 to 95% of samples. Statistical differences in mercury concentrations were observed during the project. Concentrations of reactive gaseous and elemental mercury were higher in the daytime samples than in the nighttime samples. Concentrations of reactive gaseous mercury were higher in winter than in summer and were highest at the urban monitoring location. The results of this case study indicated manual sampling and analysis could be a reliable method for measurement of atmospheric mercury species and has the capability for supplying representative concentrations in an effective manner from a long-term deposition-monitoring network. ?? 2007 Springer Science+Business Media B.V.

Fusion of shallow and deep features for classification of high-resolution remote sensing images

NASA Astrophysics Data System (ADS)

Gao, Lang; Tian, Tian; Sun, Xiao; Li, Hang

2018-02-01

Effective spectral and spatial pixel description plays a significant role for the classification of high resolution remote sensing images. Current approaches of pixel-based feature extraction are of two main kinds: one includes the widelyused principal component analysis (PCA) and gray level co-occurrence matrix (GLCM) as the representative of the shallow spectral and shape features, and the other refers to the deep learning-based methods which employ deep neural networks and have made great promotion on classification accuracy. However, the former traditional features are insufficient to depict complex distribution of high resolution images, while the deep features demand plenty of samples to train the network otherwise over fitting easily occurs if only limited samples are involved in the training. In view of the above, we propose a GLCM-based convolution neural network (CNN) approach to extract features and implement classification for high resolution remote sensing images. The employment of GLCM is able to represent the original images and eliminate redundant information and undesired noises. Meanwhile, taking shallow features as the input of deep network will contribute to a better guidance and interpretability. In consideration of the amount of samples, some strategies such as L2 regularization and dropout methods are used to prevent over-fitting. The fine-tuning strategy is also used in our study to reduce training time and further enhance the generalization performance of the network. Experiments with popular data sets such as PaviaU data validate that our proposed method leads to a performance improvement compared to individual involved approaches.

Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning

PubMed Central

Vu, Tiep Huu; Mousavi, Hojjat Seyed; Monga, Vishal; Rao, Ganesh; Rao, UK Arvind

2016-01-01

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an automatic feature discovery framework via learning class-specific dictionaries and present a low-complexity method for classification and disease grading in histopathology. Essentially, our Discriminative Feature-oriented Dictionary Learning (DFDL) method learns class-specific dictionaries such that under a sparsity constraint, the learned dictionaries allow representing a new image sample parsimoniously via the dictionary corresponding to the class identity of the sample. At the same time, the dictionary is designed to be poorly capable of representing samples from other classes. Experiments on three challenging real-world image databases: 1) histopathological images of intraductal breast lesions, 2) mammalian kidney, lung and spleen images provided by the Animal Diagnostics Lab (ADL) at Pennsylvania State University, and 3) brain tumor images from The Cancer Genome Atlas (TCGA) database, reveal the merits of our proposal over state-of-the-art alternatives. Moreover, we demonstrate that DFDL exhibits a more graceful decay in classification accuracy against the number of training images which is highly desirable in practice where generous training is often not available. PMID:26513781

New Directions in Apprentice Selection: Self-Perceived "On the Job" Literacy (Reading) Demands of Apprentices.

ERIC Educational Resources Information Center

Edwards, Peter; Gould, Warren

A study investigated the self-perceived, on-the-job literacy tasks of electrical mechanic apprentices in Victoria, Australia. A random sample of 401 apprentices from 19 locations representing all levels of apprenticeship training were questioned about their reading needs and the consequences of making a reading error in their work. Data were…

Discriminant WSRC for Large-Scale Plant Species Recognition.

PubMed

Zhang, Shanwen; Zhang, Chuanlei; Zhu, Yihai; You, Zhuhong

2017-01-01

In sparse representation based classification (SRC) and weighted SRC (WSRC), it is time-consuming to solve the global sparse representation problem. A discriminant WSRC (DWSRC) is proposed for large-scale plant species recognition, including two stages. Firstly, several subdictionaries are constructed by dividing the dataset into several similar classes, and a subdictionary is chosen by the maximum similarity between the test sample and the typical sample of each similar class. Secondly, the weighted sparse representation of the test image is calculated with respect to the chosen subdictionary, and then the leaf category is assigned through the minimum reconstruction error. Different from the traditional SRC and its improved approaches, we sparsely represent the test sample on a subdictionary whose base elements are the training samples of the selected similar class, instead of using the generic overcomplete dictionary on the entire training samples. Thus, the complexity to solving the sparse representation problem is reduced. Moreover, DWSRC is adapted to newly added leaf species without rebuilding the dictionary. Experimental results on the ICL plant leaf database show that the method has low computational complexity and high recognition rate and can be clearly interpreted.

Autogenic training for tension type headaches: a systematic review of controlled trials.

PubMed

Kanji, N; White, A R; Ernst, E

2006-06-01

To determine from the published evidence whether autogenic training as sole therapy is effective for prevention of tension-type headaches in adults. Systematic review of controlled trials. Literature searches were performed in January 2005 in six major databases, specifically Medline, EMBASE, AMED, CENTRAL, PsychInfo and CINAHL and information was extracted and evaluated in a pre-defined manner. Seven controlled clinical trials were included in the review. The methodological quality of these studies was low. Patient samples were generally representative of the more severely affected cases. None of the studies show autogenic training to be convincingly superior to other interventions care. Some trials suggested that the effect of autogenic training is no different from hypnosis and inferior to biofeedback. There is no consistent evidence to suggest that autogenic training is superior to other interventions for prevention of tension headaches, or different from other forms of relaxation. Further studies should investigate the use of standard autogenic training in patients with moderate headache.

Co-Labeling for Multi-View Weakly Labeled Learning.

PubMed

Xu, Xinxing; Li, Wen; Xu, Dong; Tsang, Ivor W

2016-06-01

It is often expensive and time consuming to collect labeled training samples in many real-world applications. To reduce human effort on annotating training samples, many machine learning techniques (e.g., semi-supervised learning (SSL), multi-instance learning (MIL), etc.) have been studied to exploit weakly labeled training samples. Meanwhile, when the training data is represented with multiple types of features, many multi-view learning methods have shown that classifiers trained on different views can help each other to better utilize the unlabeled training samples for the SSL task. In this paper, we study a new learning problem called multi-view weakly labeled learning, in which we aim to develop a unified approach to learn robust classifiers by effectively utilizing different types of weakly labeled multi-view data from a broad range of tasks including SSL, MIL and relative outlier detection (ROD). We propose an effective approach called co-labeling to solve the multi-view weakly labeled learning problem. Specifically, we model the learning problem on each view as a weakly labeled learning problem, which aims to learn an optimal classifier from a set of pseudo-label vectors generated by using the classifiers trained from other views. Unlike traditional co-training approaches using a single pseudo-label vector for training each classifier, our co-labeling approach explores different strategies to utilize the predictions from different views, biases and iterations for generating the pseudo-label vectors, making our approach more robust for real-world applications. Moreover, to further improve the weakly labeled learning on each view, we also exploit the inherent group structure in the pseudo-label vectors generated from different strategies, which leads to a new multi-layer multiple kernel learning problem. Promising results for text-based image retrieval on the NUS-WIDE dataset as well as news classification and text categorization on several real-world multi-view datasets clearly demonstrate that our proposed co-labeling approach achieves state-of-the-art performance for various multi-view weakly labeled learning problems including multi-view SSL, multi-view MIL and multi-view ROD.

The influence of listener experience and academic training on ratings of nasality.

PubMed

Lewis, Kerry E; Watterson, Thomas L; Houghton, Sarah M

2003-01-01

This study assessed listener agreement levels for nasality ratings, and the strength of relationship between nasality ratings and nasalance scores on one hand, and listener clinical experience and formal academic training in cleft palate speech on the other. The listeners were 12 adults who represented four levels of clinical experience and academic training in cleft palate speech. Three listeners were teachers with no clinical experience and no academic training (TR), three were graduate students in speech-language pathology (GS) with academic training but no clinical experience, three were craniofacial surgeons (MD) with extensive experience listening to cleft palate speech but with no academic training in speech disorders, and three were certified speech-language pathologists (SLP) with both extensive academic training and clinical experience. The speech samples were audio recordings from 20 persons representing a range of nasality from normal to severely hypernasal. Nasalance scores were obtained simultaneously with the audio recordings. Results revealed that agreement levels for nasality ratings were highest for the SLPs, followed by the MDs. Thus, the more experienced groups tended to be more reliable. Mean nasality ratings obtained for each of the rater groups revealed an inverse relationship with experience. That is, the two groups with clinical experience (SLP and MD) tended to rate nasality lower than the two groups without experience (GS and TR). Correlation coefficients between nasalance scores and nasality judgments were low to moderate for all groups and did not follow a pattern. EDUCATIONAL OUTCOMES: As a result of this activity, the reader will be able to (1) describe the influence of listener experience and academic training in cleft palate speech on perceptual ratings of nasality. (2) describe the influence of experience and training on the nasality/nasalance relationship and, (3) compare the present findings to previous findings reported in the literature.

Marketing Norm Perception Among Medical Representatives in Indian Pharmaceutical Industry

PubMed Central

Nagashekhara, Molugulu; Agil, Syed Omar Syed; Ramasamy, Ravindran

2012-01-01

Study of marketing norm perception among medical representatives is an under-portrayed component that deserves further perusal in the pharmaceutical industry. The purpose of this study is to find out the perception of marketing norms among medical representatives. The research design is quantitative and cross sectional study with medical representatives as unit of analysis. Data is collected from medical representatives (n=300) using a simple random and cluster sampling using a structured questionnaire. Results indicate that there is no difference in the perception of marketing norms among male and female medical representatives. But there is a difference in opinion among domestic and multinational company’s medical representatives. Educational back ground of medical representatives also shows the difference in opinion among medical representatives. Degree holders and multinational company medical representatives have high perception of marketing norms compare to their counterparts. The researchers strongly believe that mandatory training on marketing norms is beneficial in decision making process during the dilemmas in the sales field. PMID:24826035

Terrorism preparedness: have office-based physicians been trained?

PubMed

Niska, Richard W; Burt, Catharine W

2007-05-01

Terrorism may have a severe impact on physicians' practices. We examined terrorism preparedness training of office-based physicians. The National Ambulatory Medical Care Survey uses a nationally representative multi-stage sampling design. In 2003 and 2004, physicians were asked if they had received training in six Category-A viral and bacterial diseases and chemical and radiological exposures. Differences were examined by age, degree, specialty, region, urbanicity, and managed care involvement. Chi-squares, t tests, and logistic regressions were performed in SUDAAN-9.0, with univariate significance at P<.05 and multivariate significance within 95% confidence intervals. Of 3,968 physicians, 56.3% responded. Forty-two percent were trained in at least one exposure. Primary care specialists were more likely than surgeons to be trained for all exposures. Medical specialists were more likely than surgeons to be trained for smallpox, anthrax, and plague. Physicians ages 55-69 years were less likely than those in their 30s to be trained for smallpox, anthrax, and chemical exposures. Managed care physicians were more likely to be trained for all exposures except botulism, tularemia, and hemorrhagic fever. Terrorism training frequencies were low, although primary care and managed care physicians reported more training than their counterparts.

Sampling and data handling methods for inhalable particulate sampling. Final report nov 78-dec 80

DOE Office of Scientific and Technical Information (OSTI.GOV)

Smith, W.B.; Cushing, K.M.; Johnson, J.W.

1982-05-01

The report reviews the objectives of a research program on sampling and measuring particles in the inhalable particulate (IP) size range in emissions from stationary sources, and describes methods and equipment required. A computer technique was developed to analyze data on particle-size distributions of samples taken with cascade impactors from industrial process streams. Research in sampling systems for IP matter included concepts for maintaining isokinetic sampling conditions, necessary for representative sampling of the larger particles, while flowrates in the particle-sizing device were constant. Laboratory studies were conducted to develop suitable IP sampling systems with overall cut diameters of 15 micrometersmore » and conforming to a specified collection efficiency curve. Collection efficiencies were similarly measured for a horizontal elutriator. Design parameters were calculated for horizontal elutriators to be used with impactors, the EPA SASS train, and the EPA FAS train. Two cyclone systems were designed and evaluated. Tests on an Andersen Size Selective Inlet, a 15-micrometer precollector for high-volume samplers, showed its performance to be with the proposed limits for IP samplers. A stack sampling system was designed in which the aerosol is diluted in flow patterns and with mixing times simulating those in stack plumes.« less

Crows spontaneously exhibit analogical reasoning.

PubMed

Smirnova, Anna; Zorina, Zoya; Obozova, Tanya; Wasserman, Edward

2015-01-19

Analogical reasoning is vital to advanced cognition and behavioral adaptation. Many theorists deem analogical thinking to be uniquely human and to be foundational to categorization, creative problem solving, and scientific discovery. Comparative psychologists have long been interested in the species generality of analogical reasoning, but they initially found it difficult to obtain empirical support for such thinking in nonhuman animals (for pioneering efforts, see [2, 3]). Researchers have since mustered considerable evidence and argument that relational matching-to-sample (RMTS) effectively captures the essence of analogy, in which the relevant logical arguments are presented visually. In RMTS, choice of test pair BB would be correct if the sample pair were AA, whereas choice of test pair EF would be correct if the sample pair were CD. Critically, no items in the correct test pair physically match items in the sample pair, thus demanding that only relational sameness or differentness is available to support accurate choice responding. Initial evidence suggested that only humans and apes can successfully learn RMTS with pairs of sample and test items; however, monkeys have subsequently done so. Here, we report that crows too exhibit relational matching behavior. Even more importantly, crows spontaneously display relational responding without ever having been trained on RMTS; they had only been trained on identity matching-to-sample (IMTS). Such robust and uninstructed relational matching behavior represents the most convincing evidence yet of analogical reasoning in a nonprimate species, as apes alone have spontaneously exhibited RMTS behavior after only IMTS training. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Computer-Assisted Instruction Course on Laboratory Detection of Malarial Parasites in Human Blood. Interim Report.

ERIC Educational Resources Information Center

Mitzel, Harold E.

In cooperation with the United States Navy, this project was undertaken to examine the feasibility of computer assisted instruction in clinical malaria recognition, to train a small group of Naval personnel in techniques of creating and presenting such material, and to evaluate the course by giving it to a representative sample of Naval medical…

Design of partially supervised classifiers for multispectral image data

NASA Technical Reports Server (NTRS)

Jeon, Byeungwoo; Landgrebe, David

1993-01-01

A partially supervised classification problem is addressed, especially when the class definition and corresponding training samples are provided a priori only for just one particular class. In practical applications of pattern classification techniques, a frequently observed characteristic is the heavy, often nearly impossible requirements on representative prior statistical class characteristics of all classes in a given data set. Considering the effort in both time and man-power required to have a well-defined, exhaustive list of classes with a corresponding representative set of training samples, this 'partially' supervised capability would be very desirable, assuming adequate classifier performance can be obtained. Two different classification algorithms are developed to achieve simplicity in classifier design by reducing the requirement of prior statistical information without sacrificing significant classifying capability. The first one is based on optimal significance testing, where the optimal acceptance probability is estimated directly from the data set. In the second approach, the partially supervised classification is considered as a problem of unsupervised clustering with initially one known cluster or class. A weighted unsupervised clustering procedure is developed to automatically define other classes and estimate their class statistics. The operational simplicity thus realized should make these partially supervised classification schemes very viable tools in pattern classification.

Discovery of novel per- and polyfluoroalkyl substances (PFASs) at a fire fighting training ground and preliminary investigation of their fate and mobility.

PubMed

Baduel, Christine; Mueller, Jochen F; Rotander, Anna; Corfield, John; Gomez-Ramos, Maria-José

2017-10-01

Aqueous film forming foams (AFFFs) have been released at fire training facilities for several decades resulting in the contamination of soil and groundwater by per- and polyfluoroalkyl substances (PFASs). AFFF compositions are proprietary and may contain a broad range of PFASs for which the chemical structures and degradation products are not known. In this study, high resolution quadrupole-time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS) in combination with data processing using filtering strategies was applied to characterize and elucidate the PFASs present in concrete extracts collected at a fire training ground after the historical use of various AFFF formulations. Twelve different fluorochemical classes, representing more than 60 chemicals, were detected and identified in the concrete extracts. Novel PFASs homologues, unmonitored before in environmental samples such as chlorinated PFSAs, ketone PFSAs, dichlorinated PFSAs and perfluoroalkane sulphonamides (FASAs) were detected in soil samples collected in the vicinity of the fire training ground. Their detection in the soil cores (from 0 to 2 m) give an insight on the potential mobility of these newly identified PFASs. Copyright © 2017 Elsevier Ltd. All rights reserved.

A preclustering-based ensemble learning technique for acute appendicitis diagnoses.

PubMed

Lee, Yen-Hsien; Hu, Paul Jen-Hwa; Cheng, Tsang-Hsiang; Huang, Te-Chia; Chuang, Wei-Yao

2013-06-01

Acute appendicitis is a common medical condition, whose effective, timely diagnosis can be difficult. A missed diagnosis not only puts the patient in danger but also requires additional resources for corrective treatments. An acute appendicitis diagnosis constitutes a classification problem, for which a further fundamental challenge pertains to the skewed outcome class distribution of instances in the training sample. A preclustering-based ensemble learning (PEL) technique aims to address the associated imbalanced sample learning problems and thereby support the timely, accurate diagnosis of acute appendicitis. The proposed PEL technique employs undersampling to reduce the number of majority-class instances in a training sample, uses preclustering to group similar majority-class instances into multiple groups, and selects from each group representative instances to create more balanced samples. The PEL technique thereby reduces potential information loss from random undersampling. It also takes advantage of ensemble learning to improve performance. We empirically evaluate this proposed technique with 574 clinical cases obtained from a comprehensive tertiary hospital in southern Taiwan, using several prevalent techniques and a salient scoring system as benchmarks. The comparative results show that PEL is more effective and less biased than any benchmarks. The proposed PEL technique seems more sensitive to identifying positive acute appendicitis than the commonly used Alvarado scoring system and exhibits higher specificity in identifying negative acute appendicitis. In addition, the sensitivity and specificity values of PEL appear higher than those of the investigated benchmarks that follow the resampling approach. Our analysis suggests PEL benefits from the more representative majority-class instances in the training sample. According to our overall evaluation results, PEL records the best overall performance, and its area under the curve measure reaches 0.619. The PEL technique is capable of addressing imbalanced sample learning associated with acute appendicitis diagnosis. Our evaluation results suggest PEL is less biased toward a positive or negative class than the investigated benchmark techniques. In addition, our results indicate the overall effectiveness of the proposed technique, compared with prevalent scoring systems or salient classification techniques that follow the resampling approach. Copyright © 2013 Elsevier B.V. All rights reserved.

Occupational and genetic risk factors associated with intervertebral disc disease.

PubMed

Virtanen, Iita M; Karppinen, Jaro; Taimela, Simo; Ott, Jürg; Barral, Sandra; Kaikkonen, Kaisu; Heikkilä, Olli; Mutanen, Pertti; Noponen, Noora; Männikkö, Minna; Tervonen, Osmo; Natri, Antero; Ala-Kokko, Leena

2007-05-01

Cross-sectional epidemiologic study. To evaluate the interaction between known genetic risk factors and whole-body vibration for symptomatic intervertebral disc disease (IDD) in an occupational sample. Risk factors of IDD include, among others, whole-body vibration and heredity. In this study, the importance of a set of known genetic risk factors and whole-body vibration was evaluated in an occupational sample of train engineers and sedentary controls. Eleven variations in 8 genes (COL9A2, COL9A3, COL11A2, IL1A, IL1B, IL6, MMP-3, and VDR) were genotyped in 150 male train engineers with an average of 21-year exposure to whole-body vibration and 61 male paper mill workers with no exposure to vibration. Subjects were classified into IDD-phenotype and asymptomatic groups, based on the latent class analysis. The number of individuals belonging to the IDD-phenotype was significantly higher among train engineers (42% of train engineers vs. 17.5% of sedentary workers; P = 0.005). IL1A -889T allele represented a significant risk factor for the IDD-phenotype both in the single marker allelic association test (P = 0.043) and in the logistic regression analysis (P = 0.01). None of the other allele markers was significantly associated with symptoms when analyzed independently. However, for all the SNP markers considered, whole-body vibration represents a nominally significant risk factor. The results suggest that whole-body vibration is a risk factor for symptomatic IDD. Moreover, whole-body vibration had an additive effect with genetic risk factors increasing the likelihood of belonging to the IDD-phenotype group. Of the independent genetic markers, IL1A -889T allele had strongest association with IDD-phenotype.

A non-invasive tool for detecting cervical cancer odor by trained scent dogs.

PubMed

Guerrero-Flores, Héctor; Apresa-García, Teresa; Garay-Villar, Ónix; Sánchez-Pérez, Alejandro; Flores-Villegas, David; Bandera-Calderón, Artfy; García-Palacios, Raúl; Rojas-Sánchez, Teresita; Romero-Morelos, Pablo; Sánchez-Albor, Verónica; Mata, Osvaldo; Arana-Conejo, Víctor; Badillo-Romero, Jesús; Taniguchi, Keiko; Marrero-Rodríguez, Daniel; Mendoza-Rodríguez, Mónica; Rodríguez-Esquivel, Miriam; Huerta-Padilla, Víctor; Martínez-Castillo, Andrea; Hernández-Gallardo, Irma; López-Romero, Ricardo; Bandala, Cindy; Rosales-Guevara, Juan; Salcedo, Mauricio

2017-01-26

Cervical Cancer (CC) has become a public health concern of alarming proportions in many developing countries such as Mexico, particularly in low income sectors and marginalized regions. As such, an early detection is a key medical factor in improving not only their population's quality of life but also its life expectancy. Interestingly, there has been an increase in the number of reports describing successful attempts at detecting cancer cells in human tissues or fluids using trained (sniffer) dogs. The great odor detection threshold exhibited by dogs is not unheard of. However, this represented a potential opportunity to develop an affordable, accessible, and non-invasive method for detection of CC. Using clicker training, a male beagle was trained to recognize CC odor. During training, fresh CC biopsies were used as a reference point. Other samples used included cervical smears on glass slides and medical surgical bandages used as intimate sanitary pads by CC patients. A double-blind procedure was exercised when testing the beagle's ability to discriminate CC from control samples. The beagle was proven able to detect CC-specific volatile organic compounds (VOC) contained in both fresh cervical smear samples and adsorbent material samples. Beagle's success rate at detecting and discriminating CC and non-CC odors, as indicated by specificity and sensitivity values recorded during the experiment, stood at an overall high (>90%). CC-related VOC in adsorbent materials were detectable after only eight hours of use by CC patients. Present data suggests different applications for VOC from the uterine cervix to be used in the detection and diagnosis of CC. Furthermore, data supports the use of trained dogs as a viable, affordable, non-invasive and, therefore, highly relevant alternative method for detection of CC lesions. Additional benefits of this method include its quick turnaround time and ease of use while remaining highly accurate and robust.

Effect of the menstrual cycle on voice quality.

PubMed

Silverman, E M; Zimmer, C H

1978-01-01

The question addressed was whether most young women with no vocal training exhibit premenstrual hoarseness. Spectral (acoustical) analyses of the sustained productions of three vowels produced by 20 undergraduates at and at premenstruation were rated for degree of hoarseness. Statistical analysis of the data indicated that the typical subject was no more hoarse of premenstruation than at ovulation. To determine whether this finding represented a genuine characteristic of women's voices or a type II statistical error, a systematic replication was undertaken with another sample of 27 undergraduates. The finding replicated that of the original investigation, suggesting that premenstrual hoarseness is a rarely occurring condition among young women with no vocal training. The apparent differential effect of the menstrual cycle on trained as opposed to untrained voices deserves systematic investigation.

The Basic Skills of Young Adults. Some Findings from the 1970 British Cohort Study.

ERIC Educational Resources Information Center

Ekinsmyth, Carol; Bynner, John

A representative sample of 1,650 members of the 1970 British Cohort Study were surveyed at the age of 21 (in 1992) to gather information on their education, training, and employment experiences after the age of 16 and their self-assessed literacy and numeracy. Respondents also completed a half-hour assessment of their literacy and numeracy skills.…

Occupational Safety & Health. Inspectors' Opinions on Improving OSHA Effectiveness. Fact Sheet for Subcommittee on Health and Safety, Committee on Education and Labor, House of Representatives.

ERIC Educational Resources Information Center

General Accounting Office, Washington, DC. Div. of Human Resources.

Questionnaires gathered opinions of all Occupational Safety and Health Administration (OSHA) field supervisors and a randomly selected sample of one-third of the compliance officers about OSHA's approach to improving workplace safety and health. Major topics addressed were enforcement, safety and health standards, education and training, employer…

Nearest neighbor density ratio estimation for large-scale applications in astronomy

NASA Astrophysics Data System (ADS)

Kremer, J.; Gieseke, F.; Steenstrup Pedersen, K.; Igel, C.

2015-09-01

In astronomical applications of machine learning, the distribution of objects used for building a model is often different from the distribution of the objects the model is later applied to. This is known as sample selection bias, which is a major challenge for statistical inference as one can no longer assume that the labeled training data are representative. To address this issue, one can re-weight the labeled training patterns to match the distribution of unlabeled data that are available already in the training phase. There are many examples in practice where this strategy yielded good results, but estimating the weights reliably from a finite sample is challenging. We consider an efficient nearest neighbor density ratio estimator that can exploit large samples to increase the accuracy of the weight estimates. To solve the problem of choosing the right neighborhood size, we propose to use cross-validation on a model selection criterion that is unbiased under covariate shift. The resulting algorithm is our method of choice for density ratio estimation when the feature space dimensionality is small and sample sizes are large. The approach is simple and, because of the model selection, robust. We empirically find that it is on a par with established kernel-based methods on relatively small regression benchmark datasets. However, when applied to large-scale photometric redshift estimation, our approach outperforms the state-of-the-art.

Examining the interrater reliability of the Hare Psychopathy Checklist-Revised across a large sample of trained raters.

PubMed

Blais, Julie; Forth, Adelle E; Hare, Robert D

2017-06-01

The goal of the current study was to assess the interrater reliability of the Psychopathy Checklist-Revised (PCL-R) among a large sample of trained raters (N = 280). All raters completed PCL-R training at some point between 1989 and 2012 and subsequently provided complete coding for the same 6 practice cases. Overall, 3 major conclusions can be drawn from the results: (a) reliability of individual PCL-R items largely fell below any appropriate standards while the estimates for Total PCL-R scores and factor scores were good (but not excellent); (b) the cases representing individuals with high psychopathy scores showed better reliability than did the cases of individuals in the moderate to low PCL-R score range; and (c) there was a high degree of variability among raters; however, rater specific differences had no consistent effect on scoring the PCL-R. Therefore, despite low reliability estimates for individual items, Total scores and factor scores can be reliably scored among trained raters. We temper these conclusions by noting that scoring standardized videotaped case studies does not allow the rater to interact directly with the offender. Real-world PCL-R assessments typically involve a face-to-face interview and much more extensive collateral information. We offer recommendations for new web-based training procedures. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Survey of training and education of cytotechnologists in Europe.

PubMed

Anic, V; Eide, M L

2014-10-01

This report presents the results of a survey of the training and education of cytotechnologists (CTs) in 15 European countries and suggests guidelines on which future education should be developed. A questionnaire was sent to 25 countries in 2011: 14 with and 11 without a European Advisory Committee of Cytotechnology (EACC) member or representative. We received responses from 18 countries, among which three were excluded from the survey because they did not have CTs in training. The number of fully trained and employed CTs in these 15 European countries varied from 35 to 2600. The level of responsibility for most CTs in 14 of these countries was intermediate (signing out negative and inadequate gynaecological samples), whereas seven also had a minority of CTs at an advanced level (signing out abnormal gynaecological samples). Basic education was equally divided (7/8) between countries requiring a bachelor degree or training in medical technology before entry into cytology training. The training in cytology was given as a separate course/education or a combination of separate courses and in-house training, but was often confined to gynaecological cytology. It was recognized that CTs should extend their activities with the advent of human papillomavirus (HPV) testing and vaccination. The training requirement for CTs was usually decided by the national professional society. Most cytology training programmes were accredited by academic institutions at university level and were recognized nationally in almost all of the countries. For most of the countries, the optimal education in the future should be at university level with a diploma in cytotechnology certified or accredited by the European Federation of Cytology Societies. The survey showed variation in basic education and cytology training, especially with respect to non-gynaecological cytology, although graduate entry was favoured. The role of CTs is changing and the education and training programmes need to adapt to these changes. © 2014 John Wiley & Sons Ltd.

Development and analysis of a modular approach to payload specialist training. [training of spacecrews for Spacelab

NASA Technical Reports Server (NTRS)

Watters, H.; Steadman, J.

1976-01-01

A modular training approach for Spacelab payload crews is described. Representative missions are defined for training requirements analysis, training hardware, and simulations. Training times are projected for each experiment of each representative flight. A parametric analysis of the various flights defines resource requirements for a modular training facility at different flight frequencies. The modular approach is believed to be more flexible, time saving, and economical than previous single high fidelity trainer concepts. Block diagrams of training programs are shown.

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

PubMed

Zhang, Xiang; Guan, Naiyang; Jia, Zhilong; Qiu, Xiaogang; Luo, Zhigang

2015-01-01

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.

A Cluster of Legionella-Associated Pneumonia Cases in a Population of Military Recruits

DTIC Science & Technology

2007-06-01

this cluster may suggest a previously unrecognized suscep- FIG. 1. Phylogenic analysis of the training center strain (represented by the MCRD consensus...military recruits during population- based surveillance for pneumonia pathogens. Results were confirmed by sequence analysis . Cases cluster tightly...17 April 2007 A Legionella cluster was identified through retrospective PCR analysis of 240 throat swab samples from X-ray-confirmed pneumonia cases

The Effect of 3D-Modeling Training on Students' Spatial Reasoning Relative to Gender and Grade

ERIC Educational Resources Information Center

Šafhalter, Andrej; Vukman, Karin Bakracevic; Glodež, Srecko

2016-01-01

The aim of this research was to establish whether gender and age have an impact on spatial reasoning and its development through the use of 3D modeling. The study was conducted on a sample of 196 children from sixth to ninth grade, of whom 95 represented the experimental group and 101 the control group. The experimental group received 3D modeling…

Associations among School Characteristics and Foodservice Practices in a Nationally Representative Sample of U.S. Schools

PubMed Central

Thomson, Jessica L.; Tussing-Humphreys, Lisa M.; Martin, Corby K.; LeBlanc, Monique M.; Onufrak, Stephen J.

2012-01-01

Objective Determine school characteristics associated with healthy/unhealthy foodservice offerings or healthy food preparation practices. Design Retrospective analysis of cross-sectional data. Setting Nationally representative sample of public and private elementary, middle and high schools. Participants 526 and 520 schools with valid data from the 2006 School Health Policies and Practices Study (SHPPS) Food Service School Questionnaire. Main Outcome Measure(s) Scores for healthy/unhealthy foodservice offerings and healthy food preparation practices. Analysis Multivariable regression to determine significant associations among school characteristics and offerings/preparation practices. Results Public schools and schools participating in USDA Team Nutrition reported more healthy offerings and preparation than private or non-participating schools, respectively. Elementary schools reported less unhealthy offerings than middle or high schools; middle schools reported less unhealthy offerings than high schools. Schools requiring foodservice managers to have a college education reported more healthy preparation while those requiring completion of a foodservice training program reported less unhealthy offerings and more healthy preparation than schools without these requirements. Conclusions and Implications Results suggest the school nutrition environment may be improved by requiring foodservice managers to hold a nutrition-related college degree and/or successfully pass a foodservice training program, and by participating in a school-based nutrition program, such as USDA Team Nutrition. PMID:22963956

Working conditions survey and trainees situation: new approach to auditing the situation of European trainees in obstetrics and gynaecology ten years later.

PubMed

Rodríguez, David; Christopoulos, Panagiotis; Martins, Nuno; Pärgmäe, Pille; Werner, Henrica M J

2009-12-01

(1) To review the training and working conditions for trainees in obstetrics and gynaecology (Ob/Gyn) in Europe. (2) To suggest further improvements in working conditions for trainees in Ob/Gyn. It is an observational, descriptive, and cross-sectional study. The sample is constituted of the answers from the representatives of 25 European Network of Trainees in Ob/Gyn (ENTOG) member countries to a survey designed by ENTOG's executive. The current survey is based on the former ENTOG working conditions survey published in 1997, but has been extended to include questions that have become important recently, and to include new countries that have entered the European Union (EU) since that time. The total number of trainees represented in this study is 6056. The male/female ratio is 35/65. The average number of official working hours is 51.6 h weekly, but varies widely. The average number of duties/month is five, but varies widely from two to nine. Fewer than 50% of countries have a hospital visitation system implemented. Training abroad is possible in most training systems. Compared with the 1997 survey further harmonisation is taking place. Steps towards harmonisation are being made. Hospital visitation systems should be further introduced. Not all countries have remunerated training posts. Assessment should become more homogeneous. Compliance with the European Working Time Directive (EWTD) is a big challenge.

Change classification in SAR time series: a functional approach

NASA Astrophysics Data System (ADS)

Boldt, Markus; Thiele, Antje; Schulz, Karsten; Hinz, Stefan

2017-10-01

Change detection represents a broad field of research in SAR remote sensing, consisting of many different approaches. Besides the simple recognition of change areas, the analysis of type, category or class of the change areas is at least as important for creating a comprehensive result. Conventional strategies for change classification are based on supervised or unsupervised landuse / landcover classifications. The main drawback of such approaches is that the quality of the classification result directly depends on the selection of training and reference data. Additionally, supervised processing methods require an experienced operator who capably selects the training samples. This training step is not necessary when using unsupervised strategies, but nevertheless meaningful reference data must be available for identifying the resulting classes. Consequently, an experienced operator is indispensable. In this study, an innovative concept for the classification of changes in SAR time series data is proposed. Regarding the drawbacks of traditional strategies given above, it copes without using any training data. Moreover, the method can be applied by an operator, who does not have detailed knowledge about the available scenery yet. This knowledge is provided by the algorithm. The final step of the procedure, which main aspect is given by the iterative optimization of an initial class scheme with respect to the categorized change objects, is represented by the classification of these objects to the finally resulting classes. This assignment step is subject of this paper.

Methodology of Global Adult Tobacco Survey (GATS), Malaysia, 2011

PubMed Central

Omar, Azahadi; Yusoff, Muhammad Fadhli Mohd; Hiong, Tee Guat; Aris, Tahir; Morton, Jeremy; Pujari, Sameer

2015-01-01

Introduction Malaysia participated in the second phase of the Global Adult Tobacco Survey (GATS) in 2011. GATS, a new component of the Global Tobacco Surveillance System, is a nationally representative household survey of adults 15 years old or above. The objectives of GATS Malaysia were to (i) systematically monitor tobacco use among adults and track key indicators of tobacco control and (ii) track the implementation of some of the Framework Convention of Tobacco Control (FCTC)-recommended demand related policies. Methods GATS Malaysia 2011 was a nationwide cross-sectional survey using multistage stratified sampling to select 5112 nationally representative households. One individual aged 15 years or older was randomly chosen from each selected household and interviewed using handheld device. GATS Core Questionnaire with optional questions was pre-tested and uploaded into handheld devices after repeated quality control processes. Data collectors were trained through a centralized training. Manuals and picture book were prepared to aid in the training of data collectors and during data collection. Field-level data were aggregated on a daily basis and analysed twice a week. Quality controls were instituted to ensure collection of high quality data. Sample weighting and analysis were conducted with the assistance of researchers from the Centers for Disease Control and Prevention, Atlanta, USA Results GATS Malaysia received a total response rate of 85.3% from 5112 adults surveyed. Majority of the respondents were 25–44 years old and Malays. Conclusions The robust methodology used in the GATS Malaysia provides national estimates for tobacco used classified by socio-demographic characteristics and reliable data on various dimensions of tobacco control. PMID:26451348

Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys

PubMed Central

Werner, Jeffrey J; Koren, Omry; Hugenholtz, Philip; DeSantis, Todd Z; Walters, William A; Caporaso, J Gregory; Angenent, Largus T; Knight, Rob; Ley, Ruth E

2012-01-01

Taxonomic classification of the thousands–millions of 16S rRNA gene sequences generated in microbiome studies is often achieved using a naïve Bayesian classifier (for example, the Ribosomal Database Project II (RDP) classifier), due to favorable trade-offs among automation, speed and accuracy. The resulting classification depends on the reference sequences and taxonomic hierarchy used to train the model; although the influence of primer sets and classification algorithms have been explored in detail, the influence of training set has not been characterized. We compared classification results obtained using three different publicly available databases as training sets, applied to five different bacterial 16S rRNA gene pyrosequencing data sets generated (from human body, mouse gut, python gut, soil and anaerobic digester samples). We observed numerous advantages to using the largest, most diverse training set available, that we constructed from the Greengenes (GG) bacterial/archaeal 16S rRNA gene sequence database and the latest GG taxonomy. Phylogenetic clusters of previously unclassified experimental sequences were identified with notable improvements (for example, 50% reduction in reads unclassified at the phylum level in mouse gut, soil and anaerobic digester samples), especially for phylotypes belonging to specific phyla (Tenericutes, Chloroflexi, Synergistetes and Candidate phyla TM6, TM7). Trimming the reference sequences to the primer region resulted in systematic improvements in classification depth, and greatest gains at higher confidence thresholds. Phylotypes unclassified at the genus level represented a greater proportion of the total community variation than classified operational taxonomic units in mouse gut and anaerobic digester samples, underscoring the need for greater diversity in existing reference databases. PMID:21716311

A Survey of American and Canadian Psychiatry Residents on Their Training, Teaching Practices, And Attitudes toward Teaching

PubMed Central

Isenberg-Grzeda, Elie; Weiss, Andrea; Blackmore, Michelle; Shen, Megan Johnson; Abrams, Madeleine Seifter; Woesner, Mary E.

2017-01-01

Objective Formal training for residents-as-teachers in psychiatry is increasingly emphasized. However, little is known about the quantity and content of residents’ teaching, their attitudes toward teaching, or the training received on how to teach. Methods An online survey was disseminated to American and Canadian psychiatry residents. Results Three hundred eighty-two residents from all postgraduate years (PGY) responded, representing about 7% of all trainees. About half of PGY-1 have not received residents-as-teachers training, but by PGY-3 most have. The majority of respondents reported teaching, most commonly 1–5 hours. Most found teaching enjoyable or rewarding (n=304; 87%); however, 40% (n=138) found teaching burdensome, 43% (n=151) lacked sufficient time to teach, and many (n=226; 64%) reported insufficient feedback from supervisors. Conclusions Although the sampling methodology and low response rate limit the generalizability of findings, respondents typically seemed to value teaching, though the majority felt that they lacked feedback on their teaching skills. PMID:26842486

Machine-printed Arabic OCR

NASA Astrophysics Data System (ADS)

Hassibi, Khosrow M.

1994-02-01

This paper presents a brief overview of our research in the development of an OCR system for recognition of machine-printed texts in languages that use the Arabic alphabet. The cursive nature of machine-printed Arabic makes the segmentation of words into letters a challenging problem. In our approach, through a novel preliminary segmentation technique, a word is broken into pieces where each piece may not represent a valid letter in general. Neural networks trained on a training sample set of about 500 Arabic text images are used for recognition of these pieces. The rules governing the alphabet and character-level contextual information are used for recombining these pieces into valid letters. Higher-level contextual analysis schemes including the use of an Arabic lexicon and n-grams is also under development and are expected to improve the word recognition accuracy. The segmentation, recognition, and contextual analysis processes are closely integrated using a feedback scheme. The details of preparation of the training set and some recent results on training of the networks will be presented.

Derailing healthy choices: an audit of vending machines at train stations in NSW.

PubMed

Kelly, Bridget; Flood, Victoria M; Bicego, Cecilia; Yeatman, Heather

2012-04-01

Train stations provide opportunities for food purchases and many consumers are exposed to these venues daily, on their commute to and from work. This study aimed to describe the food environment that commuters are exposed to at train stations in NSW. One hundred train stations were randomly sampled from the Greater Sydney Metropolitan region, representing a range of demographic areas. A purpose-designed instrument was developed to collect information on the availability, promotion and cost of food and beverages in vending machines. Items were classified as high/low in energy according to NSW school canteen criteria. Of the 206 vending machines identified, 84% of slots were stocked with high-energy food and beverages. The most frequently available items were chips and extruded snacks (33%), sugar-sweetened soft drinks (18%), chocolate (12%) and confectionery (10%). High energy foods were consistently cheaper than lower-energy alternatives. Transport sites may cumulatively contribute to excess energy consumption as the items offered are energy dense. Interventions are required to improve train commuters' access to healthy food and beverages.

Machine learning of molecular properties: Locality and active learning

NASA Astrophysics Data System (ADS)

Gubaev, Konstantin; Podryabinkin, Evgeny V.; Shapeev, Alexander V.

2018-06-01

In recent years, the machine learning techniques have shown great potent1ial in various problems from a multitude of disciplines, including materials design and drug discovery. The high computational speed on the one hand and the accuracy comparable to that of density functional theory on another hand make machine learning algorithms efficient for high-throughput screening through chemical and configurational space. However, the machine learning algorithms available in the literature require large training datasets to reach the chemical accuracy and also show large errors for the so-called outliers—the out-of-sample molecules, not well-represented in the training set. In the present paper, we propose a new machine learning algorithm for predicting molecular properties that addresses these two issues: it is based on a local model of interatomic interactions providing high accuracy when trained on relatively small training sets and an active learning algorithm of optimally choosing the training set that significantly reduces the errors for the outliers. We compare our model to the other state-of-the-art algorithms from the literature on the widely used benchmark tests.

Active learning strategies for the deduplication of electronic patient data using classification trees.

PubMed

Sariyar, M; Borg, A; Pommerening, K

2012-10-01

Supervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether a simple active learning strategy using binary comparison patterns is sufficient or if string metrics together with a more sophisticated algorithm are necessary to achieve high accuracies with a small training set. Based on medical registry data with different numbers of attributes, we used active learning to acquire training sets for classification trees, which were then used to classify the remaining data. Active learning for binary patterns means that every distinct comparison pattern represents a stratum from which one item is sampled. Active learning for patterns consisting of the Levenshtein string metric values uses an iterative process where the most informative and representative examples are added to the training set. In this context, we extended the active learning strategy by Sarawagi and Bhamidipaty (2002). On the original data set, active learning based on binary comparison patterns leads to the best results. When dropping four or six attributes, using string metrics leads to better results. In both cases, not more than 200 manually reviewed training examples are necessary. In record linkage applications where only forename, name and birthday are available as attributes, we suggest the sophisticated active learning strategy based on string metrics in order to achieve highly accurate results. We recommend the simple strategy if more attributes are available, as in our study. In both cases, active learning significantly reduces the amount of manual involvement in training data selection compared to usual record linkage settings. Copyright © 2012 Elsevier Inc. All rights reserved.

The Influence of Training Phase on Error of Measurement in Jump Performance.

PubMed

Taylor, Kristie-Lee; Hopkins, Will G; Chapman, Dale W; Cronin, John B

2016-03-01

The purpose of this study was to calculate the coefficients of variation in jump performance for individual participants in multiple trials over time to determine the extent to which there are real differences in the error of measurement between participants. The effect of training phase on measurement error was also investigated. Six subjects participated in a resistance-training intervention for 12 wk with mean power from a countermovement jump measured 6 d/wk. Using a mixed-model meta-analysis, differences between subjects, within-subject changes between training phases, and the mean error values during different phases of training were examined. Small, substantial factor differences of 1.11 were observed between subjects; however, the finding was unclear based on the width of the confidence limits. The mean error was clearly higher during overload training than baseline training, by a factor of ×/÷ 1.3 (confidence limits 1.0-1.6). The random factor representing the interaction between subjects and training phases revealed further substantial differences of ×/÷ 1.2 (1.1-1.3), indicating that on average, the error of measurement in some subjects changes more than in others when overload training is introduced. The results from this study provide the first indication that within-subject variability in performance is substantially different between training phases and, possibly, different between individuals. The implications of these findings for monitoring individuals and estimating sample size are discussed.

Dentists' self-perceived role in offering tobacco cessation services: results from a nationally representative survey, United States, 2010-2011.

PubMed

Jannat-Khah, Deanna P; McNeely, Jennifer; Pereyra, Margaret R; Parish, Carrigan; Pollack, Harold A; Ostroff, Jamie; Metsch, Lisa; Shelley, Donna R

2014-11-06

Dental visits represent an opportunity to identify and help patients quit smoking, yet dental settings remain an untapped venue for treatment of tobacco dependence. The purpose of this analysis was to assess factors that may influence patterns of tobacco-use-related practice among a national sample of dental providers. We surveyed a representative sample of general dentists practicing in the United States (N = 1,802). Multivariable analysis was used to assess correlates of adherence to tobacco use treatment guidelines and to analyze factors that influence providers' willingness to offer tobacco cessation assistance if reimbursed for this service. More than 90% of dental providers reported that they routinely ask patients about tobacco use, 76% counsel patients, and 45% routinely offer cessation assistance, defined as referring patients for cessation counseling, providing a cessation prescription, or both. Results from multivariable analysis indicated that cessation assistance was associated with having a practice with 1 or more hygienists, having a chart system that includes a tobacco use question, having received training on treating tobacco dependence, and having positive attitudes toward treating tobacco use. Providers who did not offer assistance but who reported that they would change their practice patterns if sufficiently reimbursed were more likely to be in a group practice, treat patients insured through Medicaid, and have positive attitudes toward treating tobacco dependence. Findings indicate the potential benefit of increasing training opportunities and promoting system changes to increase involvement of dental providers in conducting tobacco use treatment. Reimbursement models should be tested to assess the effect on dental provider practice patterns.

The Successful Diagnosis and Typing of Systemic Amyloidosis Using A Microwave-Assisted Filter-Aided Fast Sample Preparation Method and LC/MS/MS Analysis

PubMed Central

Zou, Lili; Shen, Kaini; Zhong, Dingrong; Zhou, Daobin; Sun, Wei; Li, Jian

2015-01-01

Laser microdissection followed by mass spectrometry has been successfully used for amyloid typing. However, sample contamination can interfere with proteomic analysis, and overnight digestion limits the analytical throughput. Moreover, current quantitative analysis methods are based on the spectrum count, which ignores differences in protein length and may lead to misdiagnoses. Here, we developed a microwave-assisted filter-aided sample preparation (maFASP) method that can efficiently remove contaminants with a 10-kDa cutoff ultrafiltration unit and can accelerate the digestion process with the assistance of a microwave. Additionally, two parameters (P- and D-scores) based on the exponentially modified protein abundance index were developed to define the existence of amyloid deposits and those causative proteins with the greatest abundance. Using our protocol, twenty cases of systemic amyloidosis that were well-typed according to clinical diagnostic standards (training group) and another twenty-four cases without subtype diagnoses (validation group) were analyzed. Using this approach, sample preparation could be completed within four hours. We successfully subtyped 100% of the cases in the training group, and the diagnostic success rate in the validation group was 91.7%. This maFASP-aided proteomic protocol represents an efficient approach for amyloid diagnosis and subtyping, particularly for serum-contaminated samples. PMID:25984759

Social media policy in other orqanizations.

PubMed

Sebelius, Carl L

2012-01-01

Most professional organizations have developed policy for use of social media by their members and several have developed Web sites to help members with ethical media use. It is commmon among businesses, nonprofit organizations, and government agencies to have policies governing use of media by employees when communicating with the public and provide employee training. This article samples some of the best practices in social media policy. Development of such policy represents an attractive opportunity for dentistry.

How to Select a Good Training-data Subset for Transcription: Submodular Active Selection for Sequences

DTIC Science & Technology

2009-01-01

selection and uncertainty sampling signif- icantly. Index Terms: Transcription, labeling, submodularity, submod- ular selection, active learning , sequence...name of batch active learning , where a subset of data that is most informative and represen- tative of the whole is selected for labeling. Often...representative subset. Note that our Fisher ker- nel is over an unsupervised generative model, which enables us to bootstrap our active learning approach

Automated novelty detection in the WISE survey with one-class support vector machines

NASA Astrophysics Data System (ADS)

Solarz, A.; Bilicki, M.; Gromadzki, M.; Pollo, A.; Durkalec, A.; Wypych, M.

2017-10-01

Wide-angle photometric surveys of previously uncharted sky areas or wavelength regimes will always bring in unexpected sources - novelties or even anomalies - whose existence and properties cannot be easily predicted from earlier observations. Such objects can be efficiently located with novelty detection algorithms. Here we present an application of such a method, called one-class support vector machines (OCSVM), to search for anomalous patterns among sources preselected from the mid-infrared AllWISE catalogue covering the whole sky. To create a model of expected data we train the algorithm on a set of objects with spectroscopic identifications from the SDSS DR13 database, present also in AllWISE. The OCSVM method detects as anomalous those sources whose patterns - WISE photometric measurements in this case - are inconsistent with the model. Among the detected anomalies we find artefacts, such as objects with spurious photometry due to blending, but more importantly also real sources of genuine astrophysical interest. Among the latter, OCSVM has identified a sample of heavily reddened AGN/quasar candidates distributed uniformly over the sky and in a large part absent from other WISE-based AGN catalogues. It also allowed us to find a specific group of sources of mixed types, mostly stars and compact galaxies. By combining the semi-supervised OCSVM algorithm with standard classification methods it will be possible to improve the latter by accounting for sources which are not present in the training sample, but are otherwise well-represented in the target set. Anomaly detection adds flexibility to automated source separation procedures and helps verify the reliability and representativeness of the training samples. It should be thus considered as an essential step in supervised classification schemes to ensure completeness and purity of produced catalogues. The catalogues of outlier data are only available at the CDS via anonymous ftp to http://cdsarc.u-strasbg.fr (http://130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/606/A39

The Effect of Asymmetrical Sample Training on Retention Functions for Hedonic Samples in Rats

ERIC Educational Resources Information Center

Simmons, Sabrina; Santi, Angelo

2012-01-01

Rats were trained in a symbolic delayed matching-to-sample task to discriminate sample stimuli that consisted of the presence of food or the absence of food. Asymmetrical sample training was provided in which one group was initially trained with only the food sample and the other group was initially trained with only the no-food sample. In…

48 CFR 301.604 - Training and certification of Contracting Officers' Technical Representatives.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Training and certification of Contracting Officers' Technical Representatives. 301.604 Section 301.604 Federal Acquisition..., Contracting Authority, and Responsibilities 301.604 Training and certification of Contracting Officers...

A neural network approach for enhancing information extraction from multispectral image data

USGS Publications Warehouse

Liu, J.; Shao, G.; Zhu, H.; Liu, S.

2005-01-01

A back-propagation artificial neural network (ANN) was applied to classify multispectral remote sensing imagery data. The classification procedure included four steps: (i) noisy training that adds minor random variations to the sampling data to make the data more representative and to reduce the training sample size; (ii) iterative or multi-tier classification that reclassifies the unclassified pixels by making a subset of training samples from the original training set, which means the neural model can focus on fewer classes; (iii) spectral channel selection based on neural network weights that can distinguish the relative importance of each channel in the classification process to simplify the ANN model; and (iv) voting rules that adjust the accuracy of classification and produce outputs of different confidence levels. The Purdue Forest, located west of Purdue University, West Lafayette, Indiana, was chosen as the test site. The 1992 Landsat thematic mapper imagery was used as the input data. High-quality airborne photographs of the same Lime period were used for the ground truth. A total of 11 land use and land cover classes were defined, including water, broadleaved forest, coniferous forest, young forest, urban and road, and six types of cropland-grassland. The experiment, indicated that the back-propagation neural network application was satisfactory in distinguishing different land cover types at US Geological Survey levels II-III. The single-tier classification reached an overall accuracy of 85%. and the multi-tier classification an overall accuracy of 95%. For the whole test, region, the final output of this study reached an overall accuracy of 87%. ?? 2005 CASI.

"Taking Training to the Next Level": The American College of Surgeons Committee on Residency Training Survey.

PubMed

Damewood, Richard B; Blair, Patrice Gabler; Park, Yoon Soo; Lupi, Linda K; Newman, Rachel Williams; Sachdeva, Ajit K

The American College of Surgeons (ACS) appointed a committee of leaders from the ACS, Association of Program Directors in Surgery, Accreditation Council for Graduate Medical Education, and American Board of Surgery to define key challenges facing surgery resident training programs and to explore solutions. The committee wanted to solicit the perspectives of surgery resident program directors (PDs) given their pivotal role in residency training. Two surveys were developed, pilot tested, and administered to PDs following Institutional Review Board approval. PDs from 247 Accreditation Council for Graduate Medical Education-accredited general surgery programs were randomized to receive 1 of the 2 surveys. Bias analyses were conducted, and adjusted Pearson χ 2 tests were used to test for differences in response patterns by program type and size. All accredited general surgery programs in the United States were included in the sampling frame of the survey; 10 programs with initial or withdrawn accreditation were excluded from the sampling frame. A total of 135 PDs responded, resulting in a 54.7% response rate (Survey A: n = 67 and Survey B: n = 68). The respondent sample was determined to be representative of program type and size. Nearly 52% of PD responses were from university-based programs, and 41% had over 6 residents per graduating cohort. More than 61% of PDs reported that, compared to 10 years ago, both entering and graduating residents are less prepared in technical skills. PDs expressed significant concerns regarding the effect of duty-hour restrictions on the overall preparation of graduating residents (61%) and quality of patient care (57%). The current 5-year training structure was viewed as needing a significant or extensive increase in opportunities for resident autonomy (63%), and the greatest barriers to resident autonomy were viewed to be patient preferences not to be cared for by residents (68%), liability concerns (68%), and Centers for Medicare and Medicaid Services regulations (65%). Although 64% of PDs believe that moderate or significant changes are needed in the current structure of residency training, 35% believe that no changes in the structure are needed. When asked for their 1 best recommendation regarding the structure of surgical residency, only 22% of PDs selected retaining the current 5-year structure. The greatest percentage of PDs (28%) selected the "4 + 2" model as their 1 best recommendation for the structure to be used. In the area of faculty development, 56% of PDs supported a significant or extensive increase in Train the Teacher programs, and 41% supported a significant or extensive increase in faculty certification in education. Information regarding the valuable perspectives of PDs gathered through these surveys should help in implementing important changes in residency training and faculty development. These efforts will need to be pursued collaboratively with involvement of key stakeholders, including the organizations represented on this ACS committee. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Effectiveness of Systems Training for Emotional Predictability and Problem Solving (STEPPS) for borderline personality problems in a 'real-world' sample: moderation by diagnosis or severity?

PubMed

Bos, Elisabeth H; van Wel, E Bas; Appelo, Martin T; Verbraak, Marc J P M

2011-01-01

Systems Training for Emotional Predictability and Problem Solving (STEPPS) is a group treatment for borderline personality disorder (BPD). Two prior randomized controlled trials (RCTs) have shown the efficacy of this training. In both RCTs, patients with borderline features who did not meet the DSM-IV criteria for BPD were excluded, which were many. We investigated the effectiveness of STEPPS in a sample representative of routine clinical practice and examined whether DSM-IV diagnosis and/or baseline severity were related to differential effectiveness. Patients whom their practicing clinician diagnosed with BPD were randomized to STEPPS plus adjunctive individual therapy (STEPPS, n = 84) or to treatment as usual (TAU, n = 84). STEPPS recipients showed more improvement on measures of general and BPD-specific psychopathology as well as quality of life than TAU recipients, both at the end of treatment and at a 6-month follow-up. Presence of DSM-IV-diagnosed BPD was not related to differential treatment effectiveness, but dimensional measures of symptom severity were; STEPPS was superior to TAU particularly in patients with higher baseline severity scores. The findings show the effectiveness of STEPPS in a 'real-world' sample, and underscore the importance of dimensional versus categorical measures of personality disturbance. Copyright © 2011 S. Karger AG, Basel.

Oversight Hearing on the Emergency Veterans' Job Training Act of 1983. Hearing before the Subcommittee on Education, Training and Employment of the Committee on Veterans' Affairs, House of Representatives, Ninety-Eighth Congress, Second Session. September 21, 1984.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Veterans' Affairs.

Testimony from a congressional hearing to evaluate the implementation and administration of the Emergency Veterans' Job Training Act includes statements, a letter, a report, and written committee questions and their responses from Representatives in Congress and individuals representing the American Legion; Veterans Administration Regional Offices…

Vocational Education and Training in Luxembourg.

ERIC Educational Resources Information Center

Frideres-Poos, Jose; And Others

This monograph describes the approach to vocational training in Luxembourg. The study was compiled from available publications and interviews with representatives of the Ministry of Education and the chambers representing both sides of industry. The report shows that the distinguishing features of the vocational training system in Luxembourg are…

Diversity Exiting the Academy: Influential Factors for the Career Choice of Well-Represented and Underrepresented Minority Scientists

PubMed Central

Layton, Rebekah L.; Brandt, Patrick D.; Freeman, Ashalla M.; Harrell, Jessica R.; Hall, Joshua D.; Sinche, Melanie

2016-01-01

A national sample of PhD-trained scientists completed training, accepted subsequent employment in academic and nonacademic positions, and were queried about their previous graduate training and current employment. Respondents indicated factors contributing to their employment decision (e.g., working conditions, salary, job security). The data indicate the relative importance of deciding factors influencing career choice, controlling for gender, initial interest in faculty careers, and number of postgraduate publications. Among both well-represented (WR; n = 3444) and underrepresented minority (URM; n = 225) respondents, faculty career choice was positively associated with desire for autonomy and partner opportunity and negatively associated with desire for leadership opportunity. Differences between groups in reasons endorsed included: variety, prestige, salary, family influence, and faculty advisor influence. Furthermore, endorsement of faculty advisor or other mentor influence and family or peer influence were surprisingly rare across groups, suggesting that formal and informal support networks could provide a missed opportunity to provide support for trainees who want to stay in faculty career paths. Reasons requiring alteration of misperceptions (e.g., limited leadership opportunity for faculty) must be distinguished from reasons requiring removal of actual barriers. Further investigation into factors that affect PhDs’ career decisions can help elucidate why URM candidates are disproportionately exiting the academy. PMID:27587854

A novel heterogeneous training sample selection method on space-time adaptive processing

NASA Astrophysics Data System (ADS)

Wang, Qiang; Zhang, Yongshun; Guo, Yiduo

2018-04-01

The performance of ground target detection about space-time adaptive processing (STAP) decreases when non-homogeneity of clutter power is caused because of training samples contaminated by target-like signals. In order to solve this problem, a novel nonhomogeneous training sample selection method based on sample similarity is proposed, which converts the training sample selection into a convex optimization problem. Firstly, the existing deficiencies on the sample selection using generalized inner product (GIP) are analyzed. Secondly, the similarities of different training samples are obtained by calculating mean-hausdorff distance so as to reject the contaminated training samples. Thirdly, cell under test (CUT) and the residual training samples are projected into the orthogonal subspace of the target in the CUT, and mean-hausdorff distances between the projected CUT and training samples are calculated. Fourthly, the distances are sorted in order of value and the training samples which have the bigger value are selective preference to realize the reduced-dimension. Finally, simulation results with Mountain-Top data verify the effectiveness of the proposed method.

A Survey of Hospice Volunteer Coordinators: Training Methods and Objectives of Current Hospice Volunteer Training Programs.

PubMed

Brock, Cara M; Herndon, Christopher M

2017-06-01

Currently more than 5800 hospice organizations operate in the United States. 1 Hospice organizations are required by the Centers for Medicare and Medicaid Services (CMS) to use volunteers for services provided to patients. 2 Although CMS regulates the amount of hours hospice volunteers should provide, there are currently no national requirements for objectives of training. 3 The purpose of this study was to gather information from a sample of hospices regarding volunteer coordinator background, current training for volunteers, importance of training objectives, and any comments regarding additional objectives. Representative state hospice organizations were contacted by e-mail requesting their participation and distribution of the survey throughout their member hospices. The survey asked demographical questions, along with ratings of training components based on perceived level of importance and time spent on each objective. A total of 90 surveys were received, and the response rate was undeterminable. Results showed the majority of hospices were nonprofit, had less than 100 currently trained volunteers, and maintained an average daily patient census of less than 50. Questions regarding training programs indicated that most use live lecture methods of approximately 19 hours or less in duration. Overall, responding hospice organizations agreed that all objectives surveyed were important in training volunteers. The small number of respondents to this survey makes generalization nationwide difficult, however it is a strong starting point for the development of further surveys on hospice volunteer training and achieving a standardized set of training objectives and delivery methods.

Spectral imaging using consumer-level devices and kernel-based regression.

PubMed

Heikkinen, Ville; Cámara, Clara; Hirvonen, Tapani; Penttinen, Niko

2016-06-01

Hyperspectral reflectance factor image estimations were performed in the 400-700 nm wavelength range using a portable consumer-level laptop display as an adjustable light source for a trichromatic camera. Targets of interest were ColorChecker Classic samples, Munsell Matte samples, geometrically challenging tempera icon paintings from the turn of the 20th century, and human hands. Measurements and simulations were performed using Nikon D80 RGB camera and Dell Vostro 2520 laptop screen as a light source. Estimations were performed without spectral characteristics of the devices and by emphasizing simplicity for training sets and estimation model optimization. Spectral and color error images are shown for the estimations using line-scanned hyperspectral images as the ground truth. Estimations were performed using kernel-based regression models via a first-degree inhomogeneous polynomial kernel and a Matérn kernel, where in the latter case the median heuristic approach for model optimization and link function for bounded estimation were evaluated. Results suggest modest requirements for a training set and show that all estimation models have markedly improved accuracy with respect to the DE00 color distance (up to 99% for paintings and hands) and the Pearson distance (up to 98% for paintings and 99% for hands) from a weak training set (Digital ColorChecker SG) case when small representative training data were used in the estimation.

Asynchronous sampling of speech with some vocoder experimental results

NASA Technical Reports Server (NTRS)

Babcock, M. L.

1972-01-01

The method of asynchronously sampling speech is based upon the derivatives of the acoustical speech signal. The following results are apparent from experiments to date: (1) It is possible to represent speech by a string of pulses of uniform amplitude, where the only information contained in the string is the spacing of the pulses in time; (2) the string of pulses may be produced in a simple analog manner; (3) the first derivative of the original speech waveform is the most important for the encoding process; (4) the resulting pulse train can be utilized to control an acoustical signal production system to regenerate the intelligence of the original speech.

Assessment of soil and water contaminants from selected locations in and near the Idaho Army National Guard Orchard Training Area, Ada County, Idaho, 2001-2003

USGS Publications Warehouse

Parliman, D.J.

2004-01-01

In 2001, the National Guard Bureau and the U.S. Geological Survey began a project to compile hydrogeologic data and determine presence or absence of soil, surface-water, and ground-water contamination at the Idaho Army National Guard Orchard Training Area in southwestern Idaho. Between June 2002 and April 2003, a total of 114 soil, surface-water, ground-water, precipitation, or dust samples were collected from 68 sample sites (65 different locations) in the Orchard Training Area (OTA) or along the vehicle corridor to the OTA. Soil and water samples were analyzed for concentrations of selected total trace metals, major ions, nutrients, explosive compounds, semivolatile organics, and petroleum hydrocarbons. Water samples also were analyzed for concentrations of selected dissolved trace metals and major ions. Distinguishing naturally occurring large concentrations of trace metals, major ions, and nutrients from contamination related to land and water uses at the OTA was difficult. There were no historical analyses for this area to compare with modern data, and although samples were collected from 65 locations in and near the OTA, sampled areas represented only a small part of the complex OTA land-use areas and soil types. For naturally occurring compounds, several assumptions were made?anomalously large concentrations, when tied to known land uses, may indicate presence of contamination; naturally occurring concentrations cannot be separated from contamination concentrations in mid- and lower ranges of data; and smallest concentrations may represent the lowest naturally occurring range of concentrations and (or) the absence of contaminants related to land and water uses. Presence of explosive, semivolatile organic (SVOC), and petroleum hydrocarbon compounds in samples indicates contamination from land and water uses. In areas along the vehicle corridor and major access roads within the OTA, most trace metal, major ion, and nutrient concentrations in soil samples were not in the upper 10th percentile of data, but concentrations of 25 metals, ions, or nutrients were in the upper 10th percentile in a puddle sample near the heavy equipment maneuvering area, MPRC-H. The largest concentrations of tin, ammonia, and nitrite plus nitrate (as nitrogen) in water from the OTA were detected in a sample from this puddle. Petroleum hydrocarbons were the most common contaminant, detected in all soil and surface-water samples. An SVOC, bis (2-ethylhexyl) phthalate, a plasticizer, was detected at a site along the vehicle corridor. In Maneuver Areas within the OTA, many soil samples contained at least one trace metal, major ion, or nutrient in the upper 10th percentile of data, and the largest concentrations of cobalt, iron, mercury, titanium, sodium, ammonia, or total phosphorus were detected in 6 of 13 soil samples outside the Tadpole Lake area. The largest concentrations of aluminum, arsenic, beryllium, nickel, selenium, silver, strontium, thallium, vanadium, chloride, potassium, sulfate, and nitrite plus nitrate were detected in soil samples from the Tadpole Lake area. Water from Tadpole Lake contained the largest total concentrations of 19 trace metals, 4 major ions, and 1 nutrient. Petroleum hydrocarbons were detected in 5 soil samples and water from Tadpole Lake. SVOCs related to combustion of fuel or plasticizers were detected in 1 soil sample. Explosive compounds were detected in 1 precipitation sample.In the Impact Area within the OTA, most soil samples contained at least one trace metal, major ion, or nutrient in the upper 10th percentile of data, and the largest concentrations of barium, chromium, copper, manganese, lead, or orthophosphate were detected in 6 of the 18 soil samples. Petroleum hydrocarbons were detected in 4 soil samples, SVOCs in 6 samples, and explosive compounds in 4 samples. In the mobilization and training equipment site (MATES) compound adjacent to the OTA, all soil and water samples contained at lea

Metabolomics for organic food authentication: Results from a long-term field study in carrots.

PubMed

Cubero-Leon, Elena; De Rudder, Olivier; Maquet, Alain

2018-01-15

Increasing demand for organic products and their premium prices make them an attractive target for fraudulent malpractices. In this study, a large-scale comparative metabolomics approach was applied to investigate the effect of the agronomic production system on the metabolite composition of carrots and to build statistical models for prediction purposes. Orthogonal projections to latent structures-discriminant analysis (OPLS-DA) was applied successfully to predict the origin of the agricultural system of the harvested carrots on the basis of features determined by liquid chromatography-mass spectrometry. When the training set used to build the OPLS-DA models contained samples representative of each harvest year, the models were able to classify unknown samples correctly (100% correct classification). If a harvest year was left out of the training sets and used for predictions, the correct classification rates achieved ranged from 76% to 100%. The results therefore highlight the potential of metabolomic fingerprinting for organic food authentication purposes. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

How Does EIA Estimate Energy Consumption and End Uses in U.S. Homes?

EIA Publications

2011-01-01

The Energy Information Administration (EIA) administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses information critical to meeting future energy demand and improving efficiency and building design.

Comparison of clast and matrix dispersal in till: Charlo-Atholville area, north-central New Brunswick

USGS Publications Warehouse

Dickson, M.L.; Broster, B.E.; Parkhill, M.A.

2004-01-01

Striations and dispersal patterns for till clasts and matrix geochemistry are used to define flow directions of glacial transport across an area of about 800km2 in the Charlo-Atholville area of north-central New Brunswick. A total of 170 clast samples and 328 till matrix samples collected for geochemical analysis across the region, were analyzed for a total of 39 elements. Major lithologic contacts used here to delineate till clast provenance were based on recent bedrock mapping. Eleven known mineral occurrences and a gossan are used to define point source targets for matrix geochemical dispersal trains and to estimate probable distance and direction of transport from unknown sources. Clast trains are traceable for distances of approximately 10 km, whereas till geochemical dispersal patterns are commonly lost within 5 km of transport. Most dispersal patterns reflect more than a single direction of glacial transport. These data indicate that a single till sheet, 1-4 m thick, was deposited as the dominant ice-flow direction fluctuated between southeastward, eastward, and northward over the study area. Directions of early flow represent changes in ice sheet dominance, first from the northwest and then from the west. Locally, eastward and northward flow represent the maximum erosive phases. The last directions of flow are likely due to late glacial ice sheet drawdown towards the valley outlet at Baie des Chaleurs.

Associations among school characteristics and foodservice practices in a nationally representative sample of United States schools.

PubMed

Thomson, Jessica L; Tussing-Humphreys, Lisa M; Martin, Corby K; LeBlanc, Monique M; Onufrak, Stephen J

2012-01-01

Determine school characteristics associated with healthy/unhealthy food service offerings or healthy food preparation practices. Secondary analysis of cross-sectional data. Nationally representative sample of public and private elementary, middle, and high schools. Data from the 2006 School Health Policies and Practices Study Food Service School Questionnaire, n = 526 for Healthy and Unhealthy Offerings analysis; n = 520 for Healthy Preparation analysis. Scores for healthy/unhealthy foodservice offerings and healthy food preparation practices. Multivariable regression to determine significant associations among school characteristics and offerings/preparation practices. Public schools and schools participating in the United States Department of Agriculture (USDA) Team Nutrition reported more healthy offerings and preparation than private or nonparticipating schools, respectively. Elementary schools reported fewer unhealthy offerings than middle or high schools; middle schools reported fewer unhealthy offerings than high schools. Schools requiring foodservice managers to have a college education reported more healthy preparation, whereas those requiring completion of a foodservice training program reported fewer unhealthy offerings and more healthy preparation than schools without these requirements. Results suggest the school nutrition environment may be improved by requiring foodservice managers to hold a nutrition-related college degree and/or successfully pass a foodservice training program, and by participating in a school-based nutrition program, such as USDA Team Nutrition. Copyright © 2012 Society for Nutrition Education and Behavior. All rights reserved.

Safer@home—Simulation and training: the study protocol of a qualitative action research design

PubMed Central

Wiig, Siri; Guise, Veslemøy; Anderson, Janet; Storm, Marianne; Lunde Husebø, Anne Marie; Testad, Ingelin; Søyland, Elsa; Moltu, Kirsti L

2014-01-01

Introduction While it is predicted that telecare and other information and communication technology (ICT)-assisted services will have an increasingly important role in future healthcare services, their implementation in practice is complex. For implementation of telecare to be successful and ensure quality of care, sufficient training for staff (healthcare professionals) and service users (patients) is fundamental. Telecare training has been found to have positive effects on attitudes to, sustained use of, and outcomes associated with telecare. However, the potential contribution of training in the adoption, quality and safety of telecare services is an under-investigated research field. The overall aim of this study is to develop and evaluate simulation-based telecare training programmes to aid the use of videophone technology in elderly home care. Research-based training programmes will be designed for healthcare professionals, service users and next of kin, and the study will explore the impact of training on adoption, quality and safety of new telecare services. Methods and analysis The study has a qualitative action research design. The research will be undertaken in close collaboration with a multidisciplinary team consisting of researchers and managers and clinical representatives from healthcare services in two Norwegian municipalities, alongside experts in clinical education and simulation, as well as service user (patient) representatives. The qualitative methods used involve focus group interviews, semistructured interviews, observation and document analysis. To ensure trustworthiness in the data analysis, we will apply member checks and analyst triangulation; in addition to providing contextual and sample description to allow for evaluation of transferability of our results to other contexts and groups. Ethics and dissemination The study is approved by the Norwegian Social Science Data Services. The study is based on voluntary participation and informed written consent. Informants can withdraw at any point in time. The results will be disseminated at research conferences, peer review journals, one PhD thesis and through public presentations to people outside the scientific community. PMID:25079924

The Automation-by-Expertise-by-Training Interaction.

PubMed

Strauch, Barry

2017-03-01

I introduce the automation-by-expertise-by-training interaction in automated systems and discuss its influence on operator performance. Transportation accidents that, across a 30-year interval demonstrated identical automation-related operator errors, suggest a need to reexamine traditional views of automation. I review accident investigation reports, regulator studies, and literature on human computer interaction, expertise, and training and discuss how failing to attend to the interaction of automation, expertise level, and training has enabled operators to commit identical automation-related errors. Automated systems continue to provide capabilities exceeding operators' need for effective system operation and provide interfaces that can hinder, rather than enhance, operator automation-related situation awareness. Because of limitations in time and resources, training programs do not provide operators the expertise needed to effectively operate these automated systems, requiring them to obtain the expertise ad hoc during system operations. As a result, many do not acquire necessary automation-related system expertise. Integrating automation with expected operator expertise levels, and within training programs that provide operators the necessary automation expertise, can reduce opportunities for automation-related operator errors. Research to address the automation-by-expertise-by-training interaction is needed. However, such research must meet challenges inherent to examining realistic sociotechnical system automation features with representative samples of operators, perhaps by using observational and ethnographic research. Research in this domain should improve the integration of design and training and, it is hoped, enhance operator performance.

Neural correlates of sample-coding and reward-coding in the delay activity of neurons in the entopallium and nidopallium caudolaterale of pigeons (Columba livia).

PubMed

Johnston, Melissa; Anderson, Catrona; Colombo, Michael

2017-01-15

We recorded neuronal activity from the nidopallium caudolaterale, the avian equivalent of mammalian prefrontal cortex, and the entopallium, the avian equivalent of the mammalian visual cortex, in four birds trained on a differential outcomes delayed matching-to-sample procedure in which one sample stimulus was followed by reward and the other was not. Despite similar incidence of reward-specific and reward-unspecific delay cell types across the two areas, overall entopallium delay activity occurred following both rewarded and non-rewarded stimuli, whereas nidopallium caudolaterale delay activity tended to occur following the rewarded stimulus but not the non-rewarded stimulus. These findings are consistent with the view that delay activity in entopallium represents a code of the sample stimulus whereas delay activity in nidopallium caudolaterale represents a code of the possibility of an upcoming reward. However, based on the types of delay cells encountered, cells in NCL also code the sample stimulus and cells in ENTO are influenced by reward. We conclude that both areas support the retention of information, but that the activity in each area is differentially modulated by factors such as reward and attentional mechanisms. Copyright © 2016 Elsevier B.V. All rights reserved.

The Emergency Vietnam Veterans Jobs Training Act of 1983. Hearings before the Subcommittee on Education, Training and Employment of the Committee on Veterans' Affairs. House of Representatives, Ninety-Eighth Congress, First Session.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Veterans' Affairs.

These Congressional hearings contain testimony pertinent to the passage of the Emergency Vietnam Veterans Jobs Training Act of 1983, a bill authorizing a two-year emergency job training program for Vietnam veterans. Included among those agencies and organizations represented at the hearings were the following: the National Association of State…

EBCOG Hospital Recognition: where do we stand?

PubMed Central

Wladimiroff, J.; Hornnes, P.

2010-01-01

Hospital Recognition for general Ob/Gyn training programmes was started by EBCOG (European Board & College of Obstetrics & Gynaecology) in 1996 and for subspecialty Ob/Gyn training programmes in 2005, the latter jointly with the four European scientific organisations representing the subspecialties. So far, 85 Audits/Visits have been conducted by EBCOG for general Ob/Gyn training and a good start has been made for subspecialty training, in particular Gynaecological Oncology. EBCOG Visits are conducted by two EBCOG representatives and one trainee appointed by ENTOG (European Network for Trainees in Obstetrics & Gynaecology) for general Ob/Gyn training programmes and by two subspecialty specialists and an EBCOG representative for subspecialty programmes. Each Visit lasts one day. Accredition is granted by the EBCOG Executive Board depending on the Visiting report. Ultimately, EBCOG would like to see the introduction of an auditing and accreditation system for general and subspecialty Ob/Gyn training programmes in each country in Europe PMID:25206968

Attitudes and Relationship between Physicians and the Pharmaceutical Industry in a Public General Hospital in Lima, Peru

PubMed Central

De Ferrari, Aldo; Gentille, Cesar; Davalos, Long; Huayanay, Leandro; Malaga, German

2014-01-01

Background The interaction between physicians and the pharmaceutical industry influences physicians' attitudes and prescribing behavior. Although largely studied in the US, this topic has not been well studied in resource-poor settings, where a close relationship between physicians and industry still exists. Objective To describe physician interactions with and attitudes towards the pharmaceutical industry in a public general hospital in Lima, Peru. Design Descriptive, cross-sectional study through an anonymous, self-filled questionnaire distributed among faculty and trainee physicians of five different clinical departments working in a Peruvian public general hospital. A transcultural validation of an existing Spanish questionnaire was performed. Exposure to marketing activities, motivations to contact pharmaceutical representatives and attitudes towards industry were studied. Collected data was analyzed by degree of training, clinical department, gender and teaching status. Attitudes were measured on a four-point LIKERT scale. Results 155 physicians completed the survey, of which 148 were included in the study sample. 94.5% of attending physicians reported ongoing encounters with pharmaceutical representatives. The most common industry-related activities were receiving medical samples (91.2%), promotional material (87.8%) and attending meetings in restaurants (81.8%). Respondents considered medical samples and continuing medical education the most ethically acceptable benefits. We found significant differences between attendings and residents, and teaching and non-teaching attendings. An association between the amount of encounters with pharmaceutical representatives, and attitudes towards industry and acceptance of medical samples was found. Conclusions A close physician-industry relationship exists in the population under study. The contact is established mainly through pharmaceutical representatives. Medical samples are the most received and ethically accepted benefit. The attitudes of physicians on the ethical standards of acceptance of medical samples and other benefits are closely related with their exposure to the pharmaceutical industry. Future studies could explore the motivations of physicians working in resource-poor settings to maintain a close relationship with industry. PMID:24978481

Attitudes and relationship between physicians and the pharmaceutical industry in a public general hospital in Lima, Peru.

PubMed

De Ferrari, Aldo; Gentille, Cesar; Davalos, Long; Huayanay, Leandro; Malaga, German

2014-01-01

The interaction between physicians and the pharmaceutical industry influences physicians' attitudes and prescribing behavior. Although largely studied in the US, this topic has not been well studied in resource-poor settings, where a close relationship between physicians and industry still exists. To describe physician interactions with and attitudes towards the pharmaceutical industry in a public general hospital in Lima, Peru. Descriptive, cross-sectional study through an anonymous, self-filled questionnaire distributed among faculty and trainee physicians of five different clinical departments working in a Peruvian public general hospital. A transcultural validation of an existing Spanish questionnaire was performed. Exposure to marketing activities, motivations to contact pharmaceutical representatives and attitudes towards industry were studied. Collected data was analyzed by degree of training, clinical department, gender and teaching status. Attitudes were measured on a four-point LIKERT scale. 155 physicians completed the survey, of which 148 were included in the study sample. 94.5% of attending physicians reported ongoing encounters with pharmaceutical representatives. The most common industry-related activities were receiving medical samples (91.2%), promotional material (87.8%) and attending meetings in restaurants (81.8%). Respondents considered medical samples and continuing medical education the most ethically acceptable benefits. We found significant differences between attendings and residents, and teaching and non-teaching attendings. An association between the amount of encounters with pharmaceutical representatives, and attitudes towards industry and acceptance of medical samples was found. A close physician-industry relationship exists in the population under study. The contact is established mainly through pharmaceutical representatives. Medical samples are the most received and ethically accepted benefit. The attitudes of physicians on the ethical standards of acceptance of medical samples and other benefits are closely related with their exposure to the pharmaceutical industry. Future studies could explore the motivations of physicians working in resource-poor settings to maintain a close relationship with industry.

Canadian residents' perceived manager training needs.

PubMed

Stergiopoulos, Vicky; Lieff, Susan; Razack, Saleem; Lee, A Curtis; Maniate, Jerry M; Hyde, Stacey; Taber, Sarah; Frank, Jason R

2010-01-01

Despite widespread endorsement for administrative training during residency, teaching and learning in this area remains intermittent and limited in most programmes. To inform the development of a Manager Train-the-Trainer program for faculty, the Royal College of Physicians and Surgeons of Canada undertook a survey of perceived Manager training needs among postgraduate trainees. A representative sample of Canadian specialty residents received a web-based questionnaire in 2009 assessing their perceived deficiencies in 13 Manager knowledge and 11 Manager skill domains, as determined by gap scores (GSs). GSs were defined as the difference between residents' perceived current and desired level of knowledge or skill in selected Manager domains. Residents' educational preferences for furthering their Manager knowledge and skills were also elicited. Among the 549 residents who were emailed the survey, 199 (36.2%) responded. Residents reported significant gaps in most knowledge and skills domains examined. Residents' preferred educational methods for learning Manager knowledge and skills included workshops, web-based formats and interactive small groups. The results of this national survey, highlighting significant perceived gaps in multiple Manager knowledge and skills domains, may inform the development of Manager curricula and faculty development activities to address deficiencies in training in this important area.

An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection.

PubMed

Li, Junhui; Zhou, Weidong; Yuan, Shasha; Zhang, Yanli; Li, Chengcheng; Wu, Qi

2016-02-01

Automatic seizure detection has played an important role in the monitoring, diagnosis and treatment of epilepsy. In this paper, a patient specific method is proposed for seizure detection in the long-term intracranial electroencephalogram (EEG) recordings. This seizure detection method is based on sparse representation with online dictionary learning and elastic net constraint. The online learned dictionary could sparsely represent the testing samples more accurately, and the elastic net constraint which combines the 11-norm and 12-norm not only makes the coefficients sparse but also avoids over-fitting problem. First, the EEG signals are preprocessed using wavelet filtering and differential filtering, and the kernel function is applied to make the samples closer to linearly separable. Then the dictionaries of seizure and nonseizure are respectively learned from original ictal and interictal training samples with online dictionary optimization algorithm to compose the training dictionary. After that, the test samples are sparsely coded over the learned dictionary and the residuals associated with ictal and interictal sub-dictionary are calculated, respectively. Eventually, the test samples are classified as two distinct categories, seizure or nonseizure, by comparing the reconstructed residuals. The average segment-based sensitivity of 95.45%, specificity of 99.08%, and event-based sensitivity of 94.44% with false detection rate of 0.23/h and average latency of -5.14 s have been achieved with our proposed method.

An Examination of the Relative Effectiveness of Training in Nonverbal Communication: Personal Selling Implications

ERIC Educational Resources Information Center

Peterson, Robin T.

2005-01-01

This article examines the potential effectiveness of training in nonverbal communication for sales representatives. The literature on this subject was reviewed, and a study using students as sales representatives was conducted to evaluate the potential of training in body language. The research results provide support for the proposition that such…

[Risk communication during health crises: results of a cross-sectional study to evaluate the effectiveness of adopted corporate communication strategies during the H1N1 influenza pandemic in Italy and on the training needs of health professionals].

PubMed

De Giusti, Maria; Mannocci, Alice; Miccoli, Silvia; Palazzo, Caterina; Di Thiene, Domitilla; Scalmato, Valeria; Ursillo, Paolo; Monteduro, Maria Antonietta; Turri, Alberto; Mazzoli, Pier Giovanni; Boccia, Antonio; La Torre, Giuseppe

2012-01-01

The objectives of this study were to evaluate the effectiveness of corporate communication activities carried out during the A(H1N1) pandemic influenza in Italy and to identify educational needs of health professionals with regards to crisis communication. The study compared two samples representing respectively the general population and health professionals, living in different regions of northern, central and southern Italy. A self-administered questionnaire was used, with questions on knowledge about preventive measures during a pandemic and on satisfaction with the adopted communication campaigns. Study results highlight that both samples had very little knowledge of appropriate preventive behaviors to be adopted during a pandemic. The sample of health professionals received a greater amount of information about the pandemic with respect to the general population and showed a strong interest toward the problem of receiving adequate training in risk communication. The degree of knowledge about preventive measures is directly proportional to the existence of institutional communication activities and to having consulted a health professional.

Study of dietary supplements compositions by neutron activation analysis at the VR-1 training reactor

NASA Astrophysics Data System (ADS)

Stefanik, Milan; Rataj, Jan; Huml, Ondrej; Sklenka, Lubomir

2017-11-01

The VR-1 training reactor operated by the Czech Technical University in Prague is utilized mainly for education of students and training of various reactor staff; however, R&D is also carried out at the reactor. The experimental instrumentation of the reactor can be used for the irradiation experiments and neutron activation analysis. In this paper, the neutron activation analysis (NAA) is used for a study of dietary supplements containing the zinc (one of the essential trace elements for the human body). This analysis includes the dietary supplement pills of different brands; each brand is represented by several different batches of pills. All pills were irradiated together with the standard activation etalons in the vertical channel of the VR-1 reactor at the nominal power (80 W). Activated samples were investigated by the nuclear gamma-ray spectrometry technique employing the semiconductor HPGe detector. From resulting saturated activities, the amount of mineral element (Zn) in the pills was determined using the comparative NAA method. The results show clearly that the VR-1 training reactor is utilizable for neutron activation analysis experiments.

Bystander cardiopulmonary resuscitation training experience and self-efficacy of age and gender group: a nationwide community survey.

PubMed

Ro, Young Sun; Shin, Sang Do; Song, Kyoung Jun; Hong, Sung Ok; Kim, Young Taek; Cho, Sung-Il

2016-08-01

We hypothesized that recent hands-on practice for cardiopulmonary resuscitation (CPR) would be strongly associated with a higher likelihood of self-efficacy in bystander CPR among laypersons according to age and gender group. We used the National Korean Community Health Survey database of 228921 representatively sampled responders from 253 counties in 2012. Laypersons who had previous CPR training were eligible. Exposure variables were having had CPR training with hands-on practice session with a manikin (Practical-CPR-Training) and CPR training within the last 2 years (Recent-CPR-Training). Primary outcome was self-efficacy in bystander CPR. Multivariable logistic regression analysis was performed. The final model with an interaction term was evaluated to compare the effects of CPR training across different age and gender groups. Of 62425 eligible respondents who have had CPR training, 20213 (32.4%) had Practical-CPR-Training. Adjusted odds ratios (AORs) for self-efficacy were 4.08 (3.78-4.41) in Practical-CPR-Training, 2.61 (2.50-2.73) in male, 1.26 (1.16-1.36) in good self-rated health, 1.19 (1.10-1.29) in high school graduate, 1.19 (1.01-1.39) in persons living with stroke patients in household, and 1.17 (1.10-1.24) in Recent-CPR-Training. In interaction models, Practical-CPR-Training showed higher self-efficacy in all age and gender groups, whereas Recent-CPR-Training was not associated with better self-efficacy in elderly group, male (AOR, 0.90 [0.69-1.18]) and female (AOR, 0.94 [0.72-1.23]). Self-efficacy in bystander CPR was higher in person with recent CPR training with hands-on practice with a manikin. Copyright © 2015 Elsevier Inc. All rights reserved.

Rehabilitation, Education, Training and Employment Programs Administered by the Veterans' Administration. Hearing before the Subcommittee on Education, Training and Employment of the Committee on Veterans' Affairs, House of Representatives, Ninety-Seventh Congress, First Session.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Veterans' Affairs.

This is a report of a hearing on March 31, 1981, before the Subcommittee on Education, Training, and Employment of the Committee on Veterans' Affairs, House of Representatives, to review veterans' education, training, and employment programs currently administered by the Veterans' Administration. Testimony on the effectiveness of the three major…

Dealing with missing data in remote sensing images within land and crop classification

NASA Astrophysics Data System (ADS)

Skakun, Sergii; Kussul, Nataliia; Basarab, Ruslan

Optical remote sensing images from space provide valuable data for environmental monitoring, disaster management [1], agriculture mapping [2], so forth. In many cases, a time-series of satellite images is used to discriminate or estimate particular land parameters. One of the factors that influence the efficiency of satellite imagery is the presence of clouds. This leads to the occurrence of missing data that need to be addressed. Numerous approaches have been proposed to fill in missing data (or gaps) and can be categorized into inpainting-based, multispectral-based, and multitemporal-based. In [3], ancillary MODIS data are utilized for filling gaps and predicting Landsat data. In this paper we propose to use self-organizing Kohonen maps (SOMs) for missing data restoration in time-series of satellite imagery. Such approach was previously used for MODIS data [4], but applying this approach for finer spatial resolution data such as Sentinel-2 and Landsat-8 represents a challenge. Moreover, data for training the SOMs are selected manually in [4] that complicates the use of the method in an automatic mode. SOM is a type of artificial neural network that is trained using unsupervised learning to produce a discretised representation of the input space of the training samples, called a map. The map seeks to preserve the topological properties of the input space. The reconstruction of satellite images is performed for each spectral band separately, i.e. a separate SOM is trained for each spectral band. Pixels that have no missing values in the time-series are selected for training. Selecting the number of training pixels represent a trade-off, in particular increasing the number of training samples will lead to the increased time of SOM training while increasing the quality of restoration. Also, training data sets should be selected automatically. As such, we propose to select training samples on a regular grid of pixels. Therefore, the SOM seeks to project a large number of non-missing data to the subspace vectors in the map. Restoration of the missing values is performed in the following way. The multi-temporal pixel values (with gaps) are put to the neural network. A neuron-winner (or a best matching unit, BMU) in the SOM is selected based on the distance metric (for example, Euclidian). It should be noted that missing values are omitted from metric estimation when selecting BMU. When the BMU is selected, missing values are substituted by corresponding components of the BMU values. The efficiency of the proposed approach was tested on a time-series of Landsat-8 images over the JECAM test site in Ukraine and Sich-2 images over Crimea (Sich-2 is Ukrainian remote sensing satellite acquiring images at 8m spatial resolution). Landsat-8 images were first converted to the TOA reflectance, and then were atmospherically corrected so each pixel value represents a surface reflectance in the range from 0 to 1. The error of reconstruction (error of quantization) on training data was: band-2: 0.015; band-3: 0.020; band-4: 0.026; band-5: 0.070; band-6: 0.060; band-7: 0.055. The reconstructed images were also used for crop classification using a multi-layer perceptron (MLP). Overall accuracy was 85.98% and Cohen's kappa was 0.83. References. 1. Skakun, S., Kussul, N., Shelestov, A. and Kussul, O. “Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia,” Risk Analysis, 2013, doi: 10.1111/risa.12156. 2. Gallego, F.J., Kussul, N., Skakun, S., Kravchenko, O., Shelestov, A., Kussul, O. “Efficiency assessment of using satellite data for crop area estimation in Ukraine,” International Journal of Applied Earth Observation and Geoinformation, vol. 29, pp. 22-30, 2014. 3. Roy D.P., Ju, J., Lewis, P., Schaaf, C., Gao, F., Hansen, M., and Lindquist, E., “Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data,” Remote Sensing of Environment, 112(6), pp. 3112-3130, 2008. 4. Latif, B.A., and Mercier, G., “Self-Organizing maps for processing of data with missing values and outliers: application to remote sensing images,” Self-Organizing Maps. InTech, pp. 189-210, 2010.

Evaluation of a community-based training to promote responsible self-medication in East Java, Indonesia.

PubMed

Setiadi, Adji P; Wibowo, Yosi; Setiawan, Eko; Presley, Bobby; Mulyono, Ika; Wardhani, Ari S; Sunderland, Bruce

2018-05-24

To explore pharmacist/pharmacy staff trainers' perspectives on conducting community-based training to promote responsible self-medication, and to evaluate knowledge gained among community representatives participating in the training. Training was conducted in four districts/cities in East Java, Indonesia in 2016. A pre-test/post-test study was used to evaluate the knowledge of 129 community representatives (participants) before/after the training; pre-test and post-test scores as well as absolute gain were determined. Four focus group discussions with 20 pharmacist/pharmacy staff (trainers) were conducted after the training, and the data were thematically analysed. Overall mean test scores for community representatives significantly improved from 14.11 to 15.70 after the training (P < 0.001). The average total absolute gain was 1.85 (95% CI 1.29 to 2.39). To reach local communities, trainers suggested improvements to the content and structure of the module, training aids, trainer competency, approach and time allocation. Community-based training provides a potential strategy to improve community knowledge of medications. Findings from this study should inform strategies for a broader uptake amongst local communities in Indonesia. © 2018 Royal Pharmaceutical Society.

Optimized mixed Markov models for motif identification

PubMed Central

Huang, Weichun; Umbach, David M; Ohler, Uwe; Li, Leping

2006-01-01

Background Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challenging issue, largely due to limited availability of training samples. Results We introduce a novel and flexible model, the Optimized Mixture Markov model (OMiMa), and related methods to allow adjustment of model complexity for different motifs. In comparison with other leading methods, OMiMa can incorporate more than the NNSplice's pairwise dependencies; OMiMa avoids model over-fitting better than the Permuted Variable Length Markov Model (PVLMM); and OMiMa requires smaller training samples than the Maximum Entropy Model (MEM). Testing on both simulated and actual data (regulatory cis-elements and splice sites), we found OMiMa's performance superior to the other leading methods in terms of prediction accuracy, required size of training data or computational time. Our OMiMa system, to our knowledge, is the only motif finding tool that incorporates automatic selection of the best model. OMiMa is freely available at [1]. Conclusion Our optimized mixture of Markov models represents an alternative to the existing methods for modeling dependent structures within a biological motif. Our model is conceptually simple and effective, and can improve prediction accuracy and/or computational speed over other leading methods. PMID:16749929

Laparoscopic simulation training in gynaecology: Current provision and staff attitudes - a cross-sectional survey.

PubMed

Burden, Christy; Fox, Robert; Hinshaw, Kim; Draycott, Timothy J; James, Mark

2016-01-01

The objectives of this study were to explore current provision of laparoscopic simulation training, and to determine attitudes of trainers and trainees to the role of simulators in surgical training across the UK. An anonymous cross-sectional survey with cluster sampling was developed and circulated. All Royal College of Obstetricians and Gynaecologists (RCOG) Training Programme Directors (TPD), College Tutors (RCT) and Trainee representatives (TR) across the UK were invited to participate. One hundred and ninety-six obstetricians and gynaecologists participated. Sixty-three percent of hospitals had at least one box trainer, and 14.6% had least one virtual-reality simulator. Only 9.3% and 3.6% stated that trainees used a structured curriculum on box and virtual-reality simulators, respectively. Respondents working in a Large/Teaching hospital (p = 0.008) were more likely to agree that simulators enhance surgical training. Eighty-nine percent agreed that simulators improve the quality of training, and should be mandatory or desirable for junior trainees. Consultants (p = 0.003) and respondents over 40 years (p = 0.011) were more likely to hold that a simulation test should be undertaken before live operation. Our data demonstrated, therefore, that availability of laparoscopic simulators is inconsistent, with limited use of mandatory structured curricula. In contrast, both trainers and trainees recognise a need for greater use of laparoscopic simulation for surgical training.

Spirituality and religiosity in psychotherapy--a representative survey among German psychotherapists.

PubMed

Hofmann, Liane; Walach, Harald

2011-03-01

We report a survey in a near-representative sample of 895 German psychotherapists. Fifty-seven percent of the respondents referred to themselves as either spiritual or religious. Psychotherapists estimated that on average 22% of their patients bring in topics around spirituality and religion during the course of therapy. Two-thirds thought that topics around spirituality and religion should be part of the postgraduate and/or graduate curriculum. There was a clear difference between therapeutic orientations regarding how they felt about such issues, with CBT and psychodynamically oriented therapists placing less emphasis on spiritual issues and integrative and humanistic therapists more. However, differences between schools were less important than commonalities. We conclude that spirituality and religiosity are important topics for training and further research.

Mallard age and sex determination from wings

USGS Publications Warehouse

Carney, S.M.; Geis, A.D.

1960-01-01

This paper describes characters on the wing plumage of the mallard that indicate age and sex. A key outlines a logical order in which to check age and sex characters on wings. This method was tested and found to be more than 95 percent reliable, although it was found that considerable practice and training with known-age specimens was required to achieve this level of accuracy....The implications of this technique and the sampling procedure it permits are discussed. Wing collections could provide information on production, and, if coupled with a banding program could permit seasonal population estimates to be calculated. In addition, representative samples of wings would provide data to check the reliability of several other waterfowl surveys.

Application of artificial neural networks to identify equilibration in computer simulations

NASA Astrophysics Data System (ADS)

Leibowitz, Mitchell H.; Miller, Evan D.; Henry, Michael M.; Jankowski, Eric

2017-11-01

Determining which microstates generated by a thermodynamic simulation are representative of the ensemble for which sampling is desired is a ubiquitous, underspecified problem. Artificial neural networks are one type of machine learning algorithm that can provide a reproducible way to apply pattern recognition heuristics to underspecified problems. Here we use the open-source TensorFlow machine learning library and apply it to the problem of identifying which hypothetical observation sequences from a computer simulation are “equilibrated” and which are not. We generate training populations and test populations of observation sequences with embedded linear and exponential correlations. We train a two-neuron artificial network to distinguish the correlated and uncorrelated sequences. We find that this simple network is good enough for > 98% accuracy in identifying exponentially-decaying energy trajectories from molecular simulations.

Evaluation of SLAR and thematic mapper MSS data for forest cover mapping using computer-aided analysis techniques

NASA Technical Reports Server (NTRS)

Hoffer, R. M. (Principal Investigator)

1980-01-01

To facilitate comparison between the four different spatial resolution of the NS-001 MSS data sets, a supervised approach was taken in defining training blocks for each of the different cover types. The training fields representing each cover type category were grouped and this group was clustered to determine the individual spectral classes within each cover type category which would effectively characterize the entire test site. Graphs show the variation in spectral response level with respect to distance in the across track dimension for four sampling intervals. Radar digitization procedures were developd. Flight characteristics and parameters for digitization of radar imagery are tabulated. The statement of work for phase 3 was reviewed and modifications were suggested to meet funding reduction.

Mapping soil landscape as spatial continua: The Neural Network Approach

NASA Astrophysics Data System (ADS)

Zhu, A.-Xing

2000-03-01

A neural network approach was developed to populate a soil similarity model that was designed to represent soil landscape as spatial continua for hydroecological modeling at watersheds of mesoscale size. The approach employs multilayer feed forward neural networks. The input to the network was data on a set of soil formative environmental factors; the output from the network was a set of similarity values to a set of prescribed soil classes. The network was trained using a conjugate gradient algorithm in combination with a simulated annealing technique to learn the relationships between a set of prescribed soils and their environmental factors. Once trained, the network was used to compute for every location in an area the similarity values of the soil to the set of prescribed soil classes. The similarity values were then used to produce detailed soil spatial information. The approach also included a Geographic Information System procedure for selecting representative training and testing samples and a process of determining the network internal structure. The approach was applied to soil mapping in a watershed, the Lubrecht Experimental Forest, in western Montana. The case study showed that the soil spatial information derived using the neural network approach reveals much greater spatial detail and has a higher quality than that derived from the conventional soil map. Implications of this detailed soil spatial information for hydroecological modeling at the watershed scale are also discussed.

Comparison and optimization of machine learning methods for automated classification of circulating tumor cells.

PubMed

Lannin, Timothy B; Thege, Fredrik I; Kirby, Brian J

2016-10-01

Advances in rare cell capture technology have made possible the interrogation of circulating tumor cells (CTCs) captured from whole patient blood. However, locating captured cells in the device by manual counting bottlenecks data processing by being tedious (hours per sample) and compromises the results by being inconsistent and prone to user bias. Some recent work has been done to automate the cell location and classification process to address these problems, employing image processing and machine learning (ML) algorithms to locate and classify cells in fluorescent microscope images. However, the type of machine learning method used is a part of the design space that has not been thoroughly explored. Thus, we have trained four ML algorithms on three different datasets. The trained ML algorithms locate and classify thousands of possible cells in a few minutes rather than a few hours, representing an order of magnitude increase in processing speed. Furthermore, some algorithms have a significantly (P < 0.05) higher area under the receiver operating characteristic curve than do other algorithms. Additionally, significant (P < 0.05) losses to performance occur when training on cell lines and testing on CTCs (and vice versa), indicating the need to train on a system that is representative of future unlabeled data. Optimal algorithm selection depends on the peculiarities of the individual dataset, indicating the need of a careful comparison and optimization of algorithms for individual image classification tasks. © 2016 International Society for Advancement of Cytometry. © 2016 International Society for Advancement of Cytometry.

Cardiopulmonary Resuscitation Training Disparities in the United States.

PubMed

Blewer, Audrey L; Ibrahim, Said A; Leary, Marion; Dutwin, David; McNally, Bryan; Anderson, Monique L; Morrison, Laurie J; Aufderheide, Tom P; Daya, Mohamud; Idris, Ahamed H; Callaway, Clifton W; Kudenchuk, Peter J; Vilke, Gary M; Abella, Benjamin S

2017-05-17

Bystander cardiopulmonary resuscitation (CPR) is associated with increased survival from cardiac arrest, yet bystander CPR rates are low in many communities. The overall prevalence of CPR training in the United States and associated individual-level disparities are unknown. We sought to measure the national prevalence of CPR training and hypothesized that older age and lower socioeconomic status would be independently associated with a lower likelihood of CPR training. We administered a cross-sectional telephone survey to a nationally representative adult sample. We assessed the demographics of individuals trained in CPR within 2 years (currently trained) and those who had been trained in CPR at some point in time (ever trained). The association of CPR training and demographic variables were tested using survey weighted logistic regression. Between September 2015 and November 2015, 9022 individuals completed the survey; 18% reported being currently trained in CPR, and 65% reported training at some point previously. For each year of increased age, the likelihood of being currently CPR trained or ever trained decreased (currently trained: odds ratio, 0.98; 95% CI, 0.97-0.99; P <0.01; ever trained: OR, 0.99; 95% CI, 0.98-0.99; P =0.04). Furthermore, there was a greater then 4-fold difference in odds of being currently CPR trained from the 30-39 to 70-79 year old age groups (95% CI, 0.10-0.23). Factors associated with a lower likelihood of CPR training were lesser educational attainment and lower household income ( P <0.01 for each of these variables). A minority of respondents reported current training in CPR. Older age, lesser education, and lower income were associated with reduced likelihood of CPR training. These findings illustrate important gaps in US CPR education and suggest the need to develop tailored CPR training efforts to address this variability. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

[The attitudes and behavior of the general primary-care physician towards the neurological patient].

PubMed

Casabella Abril, B; Pérez Sánchez, J

1995-04-15

1) To find the opinion of general practitioners working in primary care (GP in PC) regarding how they deal with neurological patients. 2) To find the effect on this question of intern training in family and community medicine (FCM). A survey filled out by a representative sample of GP in PC working at PC public clinics in 1991 in a health region in Catalonia. 56 GP in PC. A self-administered selection questionnaire (multiple choice and scale of 5 points). MEASUREMENTS, MAIN RESULTS AND CONCLUSIONS: Less confidence handling neurological patients than patients with other common medical conditions. Greater need for recycling in neurology than in other basic areas of medicine. Positive impact of FCM intern training on doctors' approach to the examination of neurological patients and application of basic exploratory techniques (ophthalmoscope, reflex hammer, diapason and phonendoscope). The GP intern-trained in FCM lacks confidence in present out-patient specialised support (the area neuropsychiatrist).

Creation and testing of an artificial neural network based carbonate detector for Mars rovers

NASA Technical Reports Server (NTRS)

Bornstein, Benjamin; Castano, Rebecca; Gilmore, Martha S.; Merrill, Matthew; Greenwood, James P.

2005-01-01

We have developed an artificial neural network (ANN) based carbonate detector capable of running on current and future rover hardware. The detector can identify calcite in visible/NIR (350-2500 nm) spectra of both laboratory specimens covered by ferric dust and rocks in Mars analogue field environments. The ANN was trained using the Backpropagation algorithm with sigmoid activation neurons. For the training dataset, we chose nine carbonate and eight non-carbonate representative mineral spectra from the USGS spectral library. Using these spectra as seeds, we generated 10,000 variants with up to 2% Gaussian noise in each reflectance measurement. We cross-validated several ANN architectures, training on 9,900 spectra and testing on the remaining 100. The best performing ANN correctly detected, with perfect accuracy, the presence (or absence) of carbonate in spectral data taken on field samples from the Mojave desert and clean, pure marbles from CT. Sensitivity experiments with JSC Mars-1 simulant dust suggest the carbonate detector would perform well in aeolian Martian environments.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Melancon, R.

In June, 1995, the National Petroleum Refiners Association (NPRA) adhoc committee on Contractor Safety Training, turned over the task of developing reciprocity agreements with all Contractor Safety Training Councils to the Executive Directors of each of the Council`s. The Council representatives were to develop these agreements based on the NPRA adhoc committee training objectives that were developed jointly by representatives of the petroleum industry, chemical industry, contractors and the Council`s.

Hospital-wide education committees and high-quality residency training : A qualitative study.

PubMed

Silkens, Milou E W M; Slootweg, Irene A; Scherpbier, Albert J J A; Heineman, Maas Jan; Lombarts, Kiki M J M H

2017-12-01

High-quality residency training is of utmost importance for residents to become competent medical specialists. Hospital-wide education committees have been adopted by several healthcare systems to govern postgraduate medical education and to support continuous quality improvement of residency training. To understand the functioning and potential of such committees, this study examined the mechanisms through which hospital-wide education committees strive to enable continuous quality improvement in residency training. Focus group studies with a constructivist grounded theory approach were performed between April 2015 and August 2016. A purposeful sample of hospital-wide education committees led to seven focus groups. Hospital-wide education committees strived to enable continuous quality improvement of residency training by the following mechanisms: creating an organization-wide quality culture, an organization-wide quality structure and by collaborating with external stakeholders. However, the committees were first and foremost eager to claim a strategic position within the organization they represent. All identified mechanisms were interdependent and ongoing. From a governance perspective, the position of hospital-wide education committees in the Netherlands is uniquely contributing to the call for institutional accountability for the quality of residency training. When implementing hospital-wide education committees, shared responsibility of the committees and the departments that actually provide residency training should be addressed. Although committees vary in the strategies they use to impact continuous quality improvement of residency training, they increasingly have the ability to undertake supporting actions and are working step by step to contribute to high-quality postgraduate medical education.

A Study to Identify the Training Needs of Life Insurance Sales Representatives in Taiwan Using the Delphi Approach

ERIC Educational Resources Information Center

Fan, Chiang Ku; Cheng, Chen-Liang

2006-01-01

This article reports a study conducted to identify the needs for continuing professional development for life insurance sales representatives and to examine the competencies needed by those sales representatives. A modified Delphi technique was used. Most life insurance companies in the USA implement an education and training plan advocated by the…

The role of self-efficacy and assertiveness in aggression among high-school students in Isfahan.

PubMed

Khademi Mofrad, S H; Mehrabi, T

2015-01-01

Background. Nowadays, one sixth of the world's population is represented by adolescents, nearly 1.2 billion people being of age 10-19. According to the 2011 census in Iran, the estimation of adolescent population was 12 million, which represents 16% of the Iran population. Undoubtedly, adolescence is the most dominant stage of life. During this period, adolescents face biological, cognitive, and emotional changes that may be accompanied by inappropriate behavioral responses such as aggression. Considering pressures of peer groups during adolescence, assertiveness has an important role as a social skill. It seems that the success of adolescents in dealing with these problems depends on their self-efficacy. This study was designed to explore the role of self-efficacy and assertiveness in aggression among high-school students. Material and methods. This cross-sectional and correlational study was conducted among 321 first grade high-school students during 2014 and 2015. Samples were extracted from six education and training regions by a multi-stage random sampling. In this study, the questionnaire included demographic, Rathus Assertiveness, self-efficacy for children and aggression data. Results. The results showed that there was a notable negative association between aggression and assertiveness (p < 0.003) and also between assault and self-efficacy (p < 0.001). Conclusions. An increase in assertiveness and self-efficacy resulted in a decrease of aggression. So, training was recommended to reinforce self-efficacy beliefs and assertiveness behaviors for mental health promotion.

The role of self-efficacy and assertiveness in aggression among high-school students in Isfahan

PubMed Central

Khademi Mofrad, SH; Mehrabi, T

2015-01-01

Background. Nowadays, one sixth of the world’s population is represented by adolescents, nearly 1.2 billion people being of age 10-19. According to the 2011 census in Iran, the estimation of adolescent population was 12 million, which represents 16% of the Iran population. Undoubtedly, adolescence is the most dominant stage of life. During this period, adolescents face biological, cognitive, and emotional changes that may be accompanied by inappropriate behavioral responses such as aggression. Considering pressures of peer groups during adolescence, assertiveness has an important role as a social skill. It seems that the success of adolescents in dealing with these problems depends on their self-efficacy. This study was designed to explore the role of self-efficacy and assertiveness in aggression among high-school students. Material and methods. This cross-sectional and correlational study was conducted among 321 first grade high-school students during 2014 and 2015. Samples were extracted from six education and training regions by a multi-stage random sampling. In this study, the questionnaire included demographic, Rathus Assertiveness, self-efficacy for children and aggression data. Results. The results showed that there was a notable negative association between aggression and assertiveness (p < 0.003) and also between assault and self-efficacy (p < 0.001). Conclusions. An increase in assertiveness and self-efficacy resulted in a decrease of aggression. So, training was recommended to reinforce self-efficacy beliefs and assertiveness behaviors for mental health promotion. PMID:28316736

Tuberculosis management practices of private practitioners in Pune municipal corporation, India.

PubMed

Bharaswadkar, Sandeep; Kanchar, Avinash; Thakur, Narendra; Shah, Shubhangi; Patnaik, Brinda; Click, Eleanor S; Kumar, Ajay M V; Dewan, Puneet Kumar

2014-01-01

Private Practitioners (PP) are the primary source of health care for patients in India. Limited representative information is available on TB management practices of Indian PP or on the efficacy of India's Revised National Tuberculosis Control Programme (RNTCP) to improve the quality of TB management through training of PP. We conducted a cross-sectional survey of a systematic random sample of PP in one urban area in Western India (Pune, Maharashtra). We presented sample clinical vignettes and determined the proportions of PPs who reported practices consistent with International Standards of TB Care (ISTC). We examined the association between RNTCP training and adherence to ISTC by calculating odds ratios and 95% confidence intervals. Of 3,391 PP practicing allopathic medicine, 249 were interviewed. Of these, 55% had been exposed to RNTCP. For new pulmonary TB patients, 63% (158/249) of provider responses were consistent with ISTC diagnostic practices, and 34% (84/249) of responses were consistent with ISTC treatment practices. However, 48% (120/249) PP also reported use of serological tests for TB diagnosis. In the new TB case vignette, 38% (94/249) PP reported use of at least one second line anti-TB drug in the treatment regimen. RNTCP training was not associated with diagnostic or treatment practices. In Pune, India, despite a decade of training activities by the RNTCP, high proportions of providers resorted to TB serology for diagnosis and second-line anti-TB drug use in new TB patients. Efforts to achieve universal access to quality TB management must account for the low quality of care by PP and the lack of demonstrated effect of current training efforts.

Tuberculosis Management Practices of Private Practitioners in Pune Municipal Corporation, India

PubMed Central

Bharaswadkar, Sandeep; Kanchar, Avinash; Thakur, Narendra; Shah, Shubhangi; Patnaik, Brinda; Click, Eleanor S.; Kumar, Ajay M. V.; Dewan, Puneet Kumar

2014-01-01

Background Private Practitioners (PP) are the primary source of health care for patients in India. Limited representative information is available on TB management practices of Indian PP or on the efficacy of India’s Revised National Tuberculosis Control Programme (RNTCP) to improve the quality of TB management through training of PP. Methods We conducted a cross-sectional survey of a systematic random sample of PP in one urban area in Western India (Pune, Maharashtra). We presented sample clinical vignettes and determined the proportions of PPs who reported practices consistent with International Standards of TB Care (ISTC). We examined the association between RNTCP training and adherence to ISTC by calculating odds ratios and 95% confidence intervals. Results Of 3,391 PP practicing allopathic medicine, 249 were interviewed. Of these, 55% had been exposed to RNTCP. For new pulmonary TB patients, 63% (158/249) of provider responses were consistent with ISTC diagnostic practices, and 34% (84/249) of responses were consistent with ISTC treatment practices. However, 48% (120/249) PP also reported use of serological tests for TB diagnosis. In the new TB case vignette, 38% (94/249) PP reported use of at least one second line anti-TB drug in the treatment regimen. RNTCP training was not associated with diagnostic or treatment practices. Conclusion In Pune, India, despite a decade of training activities by the RNTCP, high proportions of providers resorted to TB serology for diagnosis and second-line anti-TB drug use in new TB patients. Efforts to achieve universal access to quality TB management must account for the low quality of care by PP and the lack of demonstrated effect of current training efforts. PMID:24897374

A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine

PubMed Central

Ye, Qing; Pan, Hao; Liu, Changhua

2015-01-01

This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes. In feature extraction module, adopt wavelet package transform and fuzzy entropy to reduce noise interference and extract representative features of failure mode. Use single failure sample to construct probability classifiers based on paired sparse Bayesian extreme learning machine which is trained only by single failure modes and have high generalization and sparsity of sparse Bayesian learning approach. To generate optimal decision threshold which can convert probability output obtained from classifiers into final simultaneous failure modes, this research proposes using samples containing both single and simultaneous failure modes and Grid search method which is superior to traditional techniques in global optimization. Compared with other frequently used diagnostic approaches based on support vector machine and probability neural networks, experiment results based on F 1-measure value verify that the diagnostic accuracy and efficiency of the proposed framework which are crucial for simultaneous failure diagnosis are superior to the existing approach. PMID:25722717

Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study

NASA Astrophysics Data System (ADS)

Ghavidel, Sahar; Imani, Farhad; Khallaghi, Siavash; Gibson, Eli; Khojaste, Amir; Gaed, Mena; Moussa, Madeleine; Gomez, Jose A.; Siemens, D. Robert; Leveridge, Michael; Chang, Silvia; Fenster, Aaron; Ward, Aaron D.; Abolmaesumi, Purang; Mousavi, Parvin

2016-03-01

Temporal ultrasound has been shown to have high classification accuracy in differentiating cancer from benign tissue. In this paper, we extend the temporal ultrasound method to classify lower grade Prostate Cancer (PCa) from all other grades. We use a group of nine patients with mostly lower grade PCa, where cancerous regions are also limited. A critical challenge is to train a classifier with limited aggressive cancerous tissue compared to low grade cancerous tissue. To resolve the problem of imbalanced data, we use Synthetic Minority Oversampling Technique (SMOTE) to generate synthetic samples for the minority class. We calculate spectral features of temporal ultrasound data and perform feature selection using Random Forests. In leave-one-patient-out cross-validation strategy, an area under receiver operating characteristic curve (AUC) of 0.74 is achieved with overall sensitivity and specificity of 70%. Using an unsupervised learning approach prior to proposed method improves sensitivity and AUC to 80% and 0.79. This work represents promising results to classify lower and higher grade PCa with limited cancerous training samples, using temporal ultrasound.

30 CFR 75.338 - Training.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 30 Mineral Resources 1 2011-07-01 2011-07-01 false Training. 75.338 Section 75.338 Mineral... SAFETY STANDARDS-UNDERGROUND COAL MINES Ventilation § 75.338 Training. (a) Certified persons conducting sampling shall be trained in the use of appropriate sampling equipment, procedures, location of sampling...

30 CFR 75.338 - Training.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Training. 75.338 Section 75.338 Mineral... SAFETY STANDARDS-UNDERGROUND COAL MINES Ventilation § 75.338 Training. (a) Certified persons conducting sampling shall be trained in the use of appropriate sampling equipment, procedures, location of sampling...

Steps toward a Comprehensive Employment and Training System. Hearing before the Employment, Housing, and Aviation Subcommittee of the Committee on Government Operations. House of Representatives, One Hundred Third Congress, Second Session.

ERIC Educational Resources Information Center

Congress of the U. S., Washington, DC. House Committee on Government Operations.

This document records the oral testimony and written reports of witnesses who testified at a Congressional hearing on moving the United States toward a comprehensive employment training system. Witnesses included members of Congress, state officials, labor representatives, and association officials concerned with employment and training. At the…

14 CFR 142.54 - Airline transport pilot certification training program.

Code of Federal Regulations, 2014 CFR

2014-01-01

... training in a flight simulation training device— (1) Holds an aircraft type rating for the aircraft represented by the flight simulation training device utilized in the training program and have received... will be demonstrated in the flight simulation training device; and (2) Satisfies the requirements of...

Women's Training Provision. Evaluation Report.

ERIC Educational Resources Information Center

European Social Fund, Dublin (Ireland).

A study examined the position of Irish women in the following types of human resource development activities cofinanced by the European Social Fund (ESF): basic/foundation skills training; postfoundation skills training; enterprise support schemes; continuing training for the employed; and apprenticeship training. Representatives of 11 state…

Local Government In-Service Training; An Annotated Bibliography.

ERIC Educational Resources Information Center

Stout, Ronald M., Ed.

This bibliography on inservice training is divided into four major categories: (1) Local Government Training in General; (2) Training Generalist Officials and Administrators; (3) Training Personnel in Functional Fields; (4) Bibliographies. Coverage includes elected representatives and executives; appointed managers, executives, and supervisors;…

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

NASA Technical Reports Server (NTRS)

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

2012-01-01

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

Safer@home-Simulation and training: the study protocol of a qualitative action research design.

PubMed

Wiig, Siri; Guise, Veslemøy; Anderson, Janet; Storm, Marianne; Lunde Husebø, Anne Marie; Testad, Ingelin; Søyland, Elsa; Moltu, Kirsti L

2014-07-29

While it is predicted that telecare and other information and communication technology (ICT)-assisted services will have an increasingly important role in future healthcare services, their implementation in practice is complex. For implementation of telecare to be successful and ensure quality of care, sufficient training for staff (healthcare professionals) and service users (patients) is fundamental. Telecare training has been found to have positive effects on attitudes to, sustained use of, and outcomes associated with telecare. However, the potential contribution of training in the adoption, quality and safety of telecare services is an under-investigated research field. The overall aim of this study is to develop and evaluate simulation-based telecare training programmes to aid the use of videophone technology in elderly home care. Research-based training programmes will be designed for healthcare professionals, service users and next of kin, and the study will explore the impact of training on adoption, quality and safety of new telecare services. The study has a qualitative action research design. The research will be undertaken in close collaboration with a multidisciplinary team consisting of researchers and managers and clinical representatives from healthcare services in two Norwegian municipalities, alongside experts in clinical education and simulation, as well as service user (patient) representatives. The qualitative methods used involve focus group interviews, semistructured interviews, observation and document analysis. To ensure trustworthiness in the data analysis, we will apply member checks and analyst triangulation; in addition to providing contextual and sample description to allow for evaluation of transferability of our results to other contexts and groups. The study is approved by the Norwegian Social Science Data Services. The study is based on voluntary participation and informed written consent. Informants can withdraw at any point in time. The results will be disseminated at research conferences, peer review journals, one PhD thesis and through public presentations to people outside the scientific community. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Stakeholder-focused evaluation of an online course for health care providers.

PubMed

Dunet, Diane O; Reyes, Michele

2006-01-01

Different people who have a stake or interest in a training course (stakeholders) may have markedly different definitions of what constitutes "training success" and how they will use evaluation results. Stakeholders at multiple levels within and outside of the organization guided the development of an evaluation plan for a Web-based training course on hemochromatosis. Stakeholder interests and values were reflected in the type, level, and rigor of evaluation methods selected. Our mixed-method evaluation design emphasized small sample sizes and repeated measures. Limited resources for evaluation were leveraged by focusing on the data needs of key stakeholders, understanding how they wanted to use evaluation results, and collecting data needed for stakeholder decision making. Regular feedback to key stakeholders provided opportunities for updating the course evaluation plan to meet emerging needs for new or different information. Early and repeated involvement of stakeholders in the evaluation process also helped build support for the final product. Involving patient advocacy groups, managers, and representative course participants improved the course and enhanced product dissemination. For training courses, evaluation planning is an opportunity to tailor methods and data collection to meet the information needs of particular stakeholders. Rigorous evaluation research of every training course may be infeasible or unwarranted; however, course evaluations can be improved by good planning. A stakeholder-focused approach can build a picture of the results and impact of training while fostering the practical use of evaluation data.

Sniffer dogs as part of a bimodal bionic research approach to develop a lung cancer screening.

PubMed

Boedeker, Enole; Friedel, Godehard; Walles, Thorsten

2012-05-01

Lung cancer (LC) continues to represent a heavy burden for health care systems worldwide. Epidemiological studies predict that its role will increase in the near future. While patient prognosis is strongly associated with tumour stage and early detection of disease, no screening test exists so far. It has been suggested that electronic sensor devices, commonly referred to as 'electronic noses', may be applicable to identify cancer-specific volatile organic compounds in the breath of patients and therefore may represent promising screening technologies. However, three decades of research did not bring forward a clinically applicable device. Here, we propose a new research approach by involving specially trained sniffer dogs into research strategies by making use of their ability to identify LC in the breath sample of patients.

Quality improvement nursing facilities: a nursing leadership perspective.

PubMed

Adams-Wendling, Linda; Lee, Robert

2005-11-01

The purposes of this study were to characterize the state of quality improvement (QI) in nursing facilities and to identify barriers to improvement from nursing leaders' perspectives. The study employed a non-experimental descriptive design, using closed- and open-ended survey questions in a sample of 51 nursing facilities in a midwestern state. Only two of these facilities had active QI programs. Furthermore, turnover and limited training among these nursing leaders represented major barriers to rapid implementation of such programs. This study is consistent with earlier findings that QI programs are limited in nursing homes.

Compliance Testing of Grissom AFB, Central Heating Plant Coal-Fired Boilers 3, 4 and 5 Grissom AFB, Indiana.

DTIC Science & Technology

1991-03-01

common breeching and can be routed to the wet -scrubber or to a bypass stack. The scrubber is a double-alkali flue - gas desulfurization system using...air. B,,., = proportion by volume of water vapor in F, = a factor representing a ratio of the vol- the stack gas . ume of wet flue gases generated to...1 s- .- - Dtstr’, . iii i Illustrations Figure Title Page 1 View of Scrubbers and Bypass Stack 3 2 Flue Gas Flow Diagram 4 3 ORSAT Sampling Train

Testate amoebae communities sensitive to surface moisture conditions in Patagonian peatlands

NASA Astrophysics Data System (ADS)

Loisel, J.; Booth, R.; Charman, D.; van Bellen, S.; Yu, Z.

2017-12-01

Here we examine moss surface samples that were collected during three field campaigns (2005, 2010, 2014) across southern Patagonian peatlands to assess the potential use of testate amoebae and 13C isotope data as proxy indicators of soil moisture. These proxies have been widely tested across North America, but their use as paleoecological tools remains sparse in the southern hemisphere. Samples were collected along a hydrological gradient spanning a range of water table depth from 0cm in wet hollows to over 85cm in dry hummocks. Moss moisture content was measured in the field. Over 25 taxa were identified, with many of them not found in North America. Ordinations indicate statistically significant and dominant effects of soil moisture and water table depth on testate assemblages, though interestingly 13C is even more strongly correlated with testates amoebae than direct soil conditions. It is possible that moss 13C signature constitutes a compound indicator that represents seasonal soil moisture better than opportunistic sampling during field campaigns. There is no significant effect of year or site across the dataset. In addition to providing a training set that translates testate amoebae moisture tolerance range into water tabel depth for Patagonian peatlands, we also compare our results with those from the North American training set to show that, despite 'novel' Patagonian taxa, the robustness of international training sets is probably sufficient to quantify most changes in soil moisture from any site around the world. We also identify key indicator species that are shown to be of universal value in peat-based hydrological reconstructions.

High-resolution microendoscope imaging of inverted papilloma and normal sinonasal mucosa: evaluation of interobserver concordance.

PubMed

Parasher, Arjun K; Kidwai, Sarah M; Schorn, Victor J; Goljo, Erden; Weinberg, Alan D; Richards-Kortum, Rebecca; Sikora, Andrew G; Iloreta, Alfred Marc; Govindaraj, Satish; Miles, Brett A

2015-12-01

High-resolution microendoscopy (HRME) enables real-time imaging of epithelial tissue. The utility of this novel imaging modality for inverted papilloma has not been previously described. This study examines the ability of otolaryngologists to differentiate between images of inverted papilloma and normal sinonasal mucosa obtained with a HRME. Inverted papilloma and normal sinonasal mucosa specimens were stained with a contrast agent, proflavine. HRME images were subsequently captured. Histopathological diagnosis was obtained for each sample. Quality-controlled images were used to assemble a training set. After reviewing the training images, 6 otolaryngologists without prior HRME experience reviewed and classified test images. Five samples of inverted papilloma and 2 normal sinonasal mucosa samples were collected. Four representative images from each specimen were used for the 28-image test set. The mean accuracy among all reviewers was 89.9% (95% confidence interval [CI], 84.3% to 94.0%). The sensitivity to correctly identify inverted papilloma was 86.7% (95% CI, 79.2% to 92.2%), and the specificity was 92.9% (95% CI, 89.0% to 100.0%). The Fleiss kappa interrater reliability score was 0.80 (95% CI, 0.70 to 0.89). Inverted papilloma and normal sinonasal mucosa have distinct HRME imaging characteristics. Otolaryngologists can be successfully trained to distinguish between inverted papilloma and normal sinonasal mucosa. HRME is a feasible tool for identification of inverted papilloma. By conducting future in vivo trials, HRME potentially may enable real-time surgical margin determination during surgical excision of inverted papilloma. © 2015 ARS-AAOA, LLC.

Robust kernel collaborative representation for face recognition

NASA Astrophysics Data System (ADS)

Huang, Wei; Wang, Xiaohui; Ma, Yanbo; Jiang, Yuzheng; Zhu, Yinghui; Jin, Zhong

2015-05-01

One of the greatest challenges of representation-based face recognition is that the training samples are usually insufficient. In other words, the training set usually does not include enough samples to show varieties of high-dimensional face images caused by illuminations, facial expressions, and postures. When the test sample is significantly different from the training samples of the same subject, the recognition performance will be sharply reduced. We propose a robust kernel collaborative representation based on virtual samples for face recognition. We think that the virtual training set conveys some reasonable and possible variations of the original training samples. Hence, we design a new object function to more closely match the representation coefficients generated from the original and virtual training sets. In order to further improve the robustness, we implement the corresponding representation-based face recognition in kernel space. It is noteworthy that any kind of virtual training samples can be used in our method. We use noised face images to obtain virtual face samples. The noise can be approximately viewed as a reflection of the varieties of illuminations, facial expressions, and postures. Our work is a simple and feasible way to obtain virtual face samples to impose Gaussian noise (and other types of noise) specifically to the original training samples to obtain possible variations of the original samples. Experimental results on the FERET, Georgia Tech, and ORL face databases show that the proposed method is more robust than two state-of-the-art face recognition methods, such as CRC and Kernel CRC.

Medical specialists' choice of location: the role of geographical attachment in Norway.

PubMed

Kristiansen, I S; Førde, O H

1992-01-01

The relation between current place of work (area of the country) and factors that might possibly represent doctors geographical attachments was studied in a sample of 322 Norwegian medical specialists. Location of hospital residency, age and geographical origin of spouse were associated with current location. Geographical attachment seems to influence doctors' locational choices from start of medical school until the end of their residency. The probability that a doctor shall locate in peripheral areas may increase from less than 10% to more than 50% if the doctor has the residency training in the periphery. Hence, favoring entrance to medical schools of students from the underserved areas, and location of graduate and postgraduate medical training in the underserved areas, as far as it is feasible while still maintaining medical standards, is suggested by the study.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kips, Ruth; Lindvall, Rachel; Eppich, Gary

Representatives from the U.S. Department of Energy’s Office of Nuclear Smuggling Detection and Deterrence (NSDD) visited the Kazakhstan Institute of Nuclear Physics (INP) to discuss the results and conclusions of a joint sample analysis (CUP-2 uranium ore concentrate) between LLNL, INP and the Japan Atomic Energy Agency (JAEA) (Fig. 1). The U.S. delegation also met with the newly-appointed Director-General of the INP (S. Sakhiyev) who expressed his continued support for this collaboration. On the last day of the visit, the delegation toured the new medical isotope production facilities (which is expected to begin operation in a few months), as wellmore » as INP’s Nuclear Security Training Center (co-funded by DOE, the Defense Threat Reduction Initiative (DTRA) and the Kazakhstan government). Construction of the Nuclear Security Training Center is expected to be completed by the end of 2016.« less

Thematic Matching as Remedial Teaching for Symbolic Matching for Individuals with Autism Spectrum Disorder

PubMed Central

Lionello-DeNolf, Karen M.; Farber, Rachel; Jones, B. Max; Dube, William V.

2014-01-01

Matching-to-sample (MTS) is often used to teach symbolic relationships between spoken or printed words and their referents to children with intellectual and developmental disabilities. However, many children have difficulty learning symbolic matching, even though they may demonstrate generalized identity matching. The current study investigated whether training on symbolic MTS tasks in which the stimuli are physically dissimilar but members of familiar categories (i.e., thematic matching) can remediate an individual’s difficulty learning symbolic MTS tasks involving non-representative stimuli. Three adolescent males diagnosed with autism spectrum disorder were first trained on symbolic MTS tasks with unfamiliar, non-representative form stimuli. Thematic matching was introduced after the participants failed to learn 0, 2 or 4 symbolic MTS tasks and before additional symbolic MTS tasks were introduced. After exposure to thematic matching, accuracy on symbolic MTS tasks with novel stimuli increased to above chance for all participants. For two participants, high accuracy (> 90%) was achieved on a majority of these sessions. Thus, thematic matching may be an effective intervention for students with limited verbal repertoires and who have difficulty learning symbolic MTS tasks. Possible explanations for the facilitative effect of thematic matching are considered and warrant further investigation. PMID:24634695

Prediction task guided representation learning of medical codes in EHR.

PubMed

Cui, Liwen; Xie, Xiaolei; Shen, Zuojun

2018-06-18

There have been rapidly growing applications using machine learning models for predictive analytics in Electronic Health Records (EHR) to improve the quality of hospital services and the efficiency of healthcare resource utilization. A fundamental and crucial step in developing such models is to convert medical codes in EHR to feature vectors. These medical codes are used to represent diagnoses or procedures. Their vector representations have a tremendous impact on the performance of machine learning models. Recently, some researchers have utilized representation learning methods from Natural Language Processing (NLP) to learn vector representations of medical codes. However, most previous approaches are unsupervised, i.e. the generation of medical code vectors is independent from prediction tasks. Thus, the obtained feature vectors may be inappropriate for a specific prediction task. Moreover, unsupervised methods often require a lot of samples to obtain reliable results, but most practical problems have very limited patient samples. In this paper, we develop a new method called Prediction Task Guided Health Record Aggregation (PTGHRA), which aggregates health records guided by prediction tasks, to construct training corpus for various representation learning models. Compared with unsupervised approaches, representation learning models integrated with PTGHRA yield a significant improvement in predictive capability of generated medical code vectors, especially for limited training samples. Copyright © 2018. Published by Elsevier Inc.

The Veterans' Job Training Program. Hearings before the Subcommittee on Education, Training and Employment of the Committee on Veterans' Affairs. House of Representatives, One Hundredth Congress, First Session (Galesburg, Illinois, Schererville, Indiana).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Veterans' Affairs.

This congressional report contains testimony that was given in reference to proposed amendments to improve the Veterans' Job Training Program. Testimony by representatives of the following agencies, businesses, and organizations is included: the Chicago Veterans Administration Regional Office, the Peoria Vet Center, the Quad Cities Vet Center, J…

Polyphonic sonification of electrocardiography signals for diagnosis of cardiac pathologies

NASA Astrophysics Data System (ADS)

Kather, Jakob Nikolas; Hermann, Thomas; Bukschat, Yannick; Kramer, Tilmann; Schad, Lothar R.; Zöllner, Frank Gerrit

2017-03-01

Electrocardiography (ECG) data are multidimensional temporal data with ubiquitous applications in the clinic. Conventionally, these data are presented visually. It is presently unclear to what degree data sonification (auditory display), can enable the detection of clinically relevant cardiac pathologies in ECG data. In this study, we introduce a method for polyphonic sonification of ECG data, whereby different ECG channels are simultaneously represented by sound of different pitch. We retrospectively applied this method to 12 samples from a publicly available ECG database. We and colleagues from our professional environment then analyzed these data in a blinded way. Based on these analyses, we found that the sonification technique can be intuitively understood after a short training session. On average, the correct classification rate for observers trained in cardiology was 78%, compared to 68% and 50% for observers not trained in cardiology or not trained in medicine at all, respectively. These values compare to an expected random guessing performance of 25%. Strikingly, 27% of all observers had a classification accuracy over 90%, indicating that sonification can be very successfully used by talented individuals. These findings can serve as a baseline for potential clinical applications of ECG sonification.

30 CFR 250.1507 - How will MMS measure training results?

Code of Federal Regulations, 2010 CFR

2010-07-01

... program, using one or more of the methods in this section. (a) Training system audit. MMS or its authorized representative may conduct a training system audit at your office. The training system audit will...

Recommendations for clinical biomarker specimen preservation and stability assessments.

PubMed

Dakappagari, Naveen; Zhang, Hui; Stephen, Laurie; Amaravadi, Lakshmi; Khan, Masood U

2017-04-01

With the wide use of biomarkers to enable critical drug-development decisions, there is a growing concern from scientific community on the need for a 'standardized process' for ensuring biomarker specimen stability and hence, a strong desire to share best practices on preserving the integrity of biomarker specimens in clinical trials and the design of studies to evaluate analyte stability. By leveraging representative industry experience, we have attempted to provide an overview of critical aspects of biomarker specimen stability commonly encountered during clinical development, including: planning of clinical sample collection procedures, clinical site training, selection of sample preservation buffers, shipping logistics, fit-for-purpose stability assessments in the analytical laboratory and presentation of case studies covering widely utilized biomarker specimen types.

A "Quiet Revolution"? The Impact of Training Schools on Initial Teacher Training Partnerships

ERIC Educational Resources Information Center

Brooks, Val

2006-01-01

This paper discusses the impact on initial teacher training of a new policy initiative in England: the introduction of Training Schools. First, the Training School project is set in context by exploring the evolution of a partnership approach to initial teacher training in England. Ways in which Training Schools represent a break with established…

Consistently Sampled Correlation Filters with Space Anisotropic Regularization for Visual Tracking

PubMed Central

Shi, Guokai; Xu, Tingfa; Luo, Jiqiang; Li, Yuankun

2017-01-01

Most existing correlation filter-based tracking algorithms, which use fixed patches and cyclic shifts as training and detection measures, assume that the training samples are reliable and ignore the inconsistencies between training samples and detection samples. We propose to construct and study a consistently sampled correlation filter with space anisotropic regularization (CSSAR) to solve these two problems simultaneously. Our approach constructs a spatiotemporally consistent sample strategy to alleviate the redundancies in training samples caused by the cyclical shifts, eliminate the inconsistencies between training samples and detection samples, and introduce space anisotropic regularization to constrain the correlation filter for alleviating drift caused by occlusion. Moreover, an optimization strategy based on the Gauss-Seidel method was developed for obtaining robust and efficient online learning. Both qualitative and quantitative evaluations demonstrate that our tracker outperforms state-of-the-art trackers in object tracking benchmarks (OTBs). PMID:29231876

PONS2train: tool for testing the MLP architecture and local traning methods for runoff forecast

NASA Astrophysics Data System (ADS)

Maca, P.; Pavlasek, J.; Pech, P.

2012-04-01

The purpose of presented poster is to introduce the PONS2train developed for runoff prediction via multilayer perceptron - MLP. The software application enables the implementation of 12 different MLP's transfer functions, comparison of 9 local training algorithms and finally the evaluation the MLP performance via 17 selected model evaluation metrics. The PONS2train software is written in C++ programing language. Its implementation consists of 4 classes. The NEURAL_NET and NEURON classes implement the MLP, the CRITERIA class estimates model evaluation metrics and for model performance evaluation via testing and validation datasets. The DATA_PATTERN class prepares the validation, testing and calibration datasets. The software application uses the LAPACK, BLAS and ARMADILLO C++ linear algebra libraries. The PONS2train implements the first order local optimization algorithms: standard on-line and batch back-propagation with learning rate combined with momentum and its variants with the regularization term, Rprop and standard batch back-propagation with variable momentum and learning rate. The second order local training algorithms represents: the Levenberg-Marquardt algorithm with and without regularization and four variants of scaled conjugate gradients. The other important PONS2train features are: the multi-run, the weight saturation control, early stopping of trainings, and the MLP weights analysis. The weights initialization is done via two different methods: random sampling from uniform distribution on open interval or Nguyen Widrow method. The data patterns can be transformed via linear and nonlinear transformation. The runoff forecast case study focuses on PONS2train implementation and shows the different aspects of the MLP training, the MLP architecture estimation, the neural network weights analysis and model uncertainty estimation.

The Educational Index: Linking Academic Instruction to Capital Planning

ERIC Educational Resources Information Center

Anding, Craig W.; Richards, David; Zoller, Susan C.

2012-01-01

The Bailey Yard is the largest rail classification yard in the world, stretching eight miles across the western prairie at North Platte, Nebraska. Trains leave Bailey Yard everyday--coal trains, grain trains, manifest trains--and each one represents a train prototype. Minneapolis Public School buildings are like a manifest train, where the…

The 2-degree Field Lensing Survey: photometric redshifts from a large new training sample to r < 19.5

NASA Astrophysics Data System (ADS)

Wolf, C.; Johnson, A. S.; Bilicki, M.; Blake, C.; Amon, A.; Erben, T.; Glazebrook, K.; Heymans, C.; Hildebrandt, H.; Joudaki, S.; Klaes, D.; Kuijken, K.; Lidman, C.; Marin, F.; Parkinson, D.; Poole, G.

2017-04-01

We present a new training set for estimating empirical photometric redshifts of galaxies, which was created as part of the 2-degree Field Lensing Survey project. This training set is located in a ˜700 deg2 area of the Kilo-Degree-Survey South field and is randomly selected and nearly complete at r < 19.5. We investigate the photometric redshift performance obtained with ugriz photometry from VST-ATLAS and W1/W2 from WISE, based on several empirical and template methods. The best redshift errors are obtained with kernel-density estimation (KDE), as are the lowest biases, which are consistent with zero within statistical noise. The 68th percentiles of the redshift scatter for magnitude-limited samples at r < (15.5, 17.5, 19.5) are (0.014, 0.017, 0.028). In this magnitude range, there are no known ambiguities in the colour-redshift map, consistent with a small rate of redshift outliers. In the fainter regime, the KDE method produces p(z) estimates per galaxy that represent unbiased and accurate redshift frequency expectations. The p(z) sum over any subsample is consistent with the true redshift frequency plus Poisson noise. Further improvements in redshift precision at r < 20 would mostly be expected from filter sets with narrower passbands to increase the sensitivity of colours to small changes in redshift.

What schools teach our patients about sex: content, quality, and influences on sex education.

PubMed

Lindau, Stacy Tessler; Tetteh, Adjoa S; Kasza, Kristen; Gilliam, Melissa

2008-02-01

To identify predictors of comprehensive sex education in public schools. Using a three-stage design, 335 sex education teachers from a probability sample of 201 schools in 112 Illinois school districts were surveyed regarding the 2003-2004 school year. Coverage of at least all of the following topics constituted "comprehensiveness": abstinence, human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS), other sexually transmitted diseases (STDs), and contraception. A logistic regression model identified predictors of comprehensiveness. Representing 91.3% of sampled schools, the teacher survey response rate was 62.4%. The most frequently taught topics included HIV/AIDS (97%), STDs (96%), and abstinence-until-marriage (89%). The least frequently taught topics were emergency contraception (31%), sexual orientation (33%), condom (34%) and other contraceptive (37%) use, and abortion (39%). Abstinence-only curricula were used by 74% of teachers, but 33% of these teachers supplemented with "other" curricula. Overall, two thirds met comprehensiveness criteria based on topics taught. Curricular material availability was most commonly cited as having a "great deal" of influence on topics taught. Thirty percent had no training in sex education; training was the only significant predictor of providing comprehensive sex education in multivariable analysis. Illinois public school-based sex education emphasizes abstinence and STDs and is heavily influenced by the available curricular materials. Nearly one in three sex education teachers were not trained. Obstetrician-gynecologists caring for adolescents may need to fill gaps in adolescent knowledge and skills due to deficits in content, quality, and teacher training in sex education. III.

Scientists' Views about Communication Training

ERIC Educational Resources Information Center

Besley, John C.; Dudo, Anthony; Storksdieck, Martin

2015-01-01

This study assesses how scientists think about science communication training based on the argument that such training represents an important tool in improving the quality of interactions between scientists and the public. It specifically focuses on training related to five goals, including views about training to make science messages…

14 CFR 61.156 - Training requirements: Airplane category-multiengine class rating or airplane type rating...

Code of Federal Regulations, 2014 CFR

2014-01-01

... simulation training device qualified under part 60 of this chapter that represents a multiengine turbine... completed in a Level 4 or higher flight simulation training device. The training must include the following...

49 CFR 380.301 - General requirements.

Code of Federal Regulations, 2014 CFR

2014-10-01

...-Training Program must be for the operation of CMVs representative of the subject matter that he/she will... instructor; (3) Possess a valid Class A CDL with all endorsements necessary to operate the CMVs applicable to...' CMV driving experience in a vehicle representative of the type of driver training to be provided (LCV...

49 CFR 380.301 - General requirements.

Code of Federal Regulations, 2011 CFR

2011-10-01

...-Training Program must be for the operation of CMVs representative of the subject matter that he/she will... instructor; (3) Possess a valid Class A CDL with all endorsements necessary to operate the CMVs applicable to...' CMV driving experience in a vehicle representative of the type of driver training to be provided (LCV...

49 CFR 380.301 - General requirements.

Code of Federal Regulations, 2013 CFR

2013-10-01

...-Training Program must be for the operation of CMVs representative of the subject matter that he/she will... instructor; (3) Possess a valid Class A CDL with all endorsements necessary to operate the CMVs applicable to...' CMV driving experience in a vehicle representative of the type of driver training to be provided (LCV...

49 CFR 380.301 - General requirements.

Code of Federal Regulations, 2012 CFR

2012-10-01

...-Training Program must be for the operation of CMVs representative of the subject matter that he/she will... instructor; (3) Possess a valid Class A CDL with all endorsements necessary to operate the CMVs applicable to...' CMV driving experience in a vehicle representative of the type of driver training to be provided (LCV...

Training Community Clergy in Serious Illness: Balancing Faith and Medicine.

PubMed

Koss, Sarah E; Weissman, Ross; Chow, Vinca; Smith, Patrick T; Slack, Bethany; Voytenko, Vitaliy; Balboni, Tracy A; Balboni, Michael J

2018-06-06

Community-based clergy are highly engaged in helping seriously ill patients address spiritual concerns at the end of life (EOL). While they desire EOL training, no data exist in guiding how to conceptualize a clergy-training program. The objective of this study was used to identify best practices in an EOL training program for community clergy. As part of the National Clergy Project on End-of-Life Care, the project conducted key informant interviews and focus groups with active clergy in five US states (California, Illinois, Massachusetts, New York, and Texas). A diverse purposive sample of 35 active clergy representing pre-identified racial, educational, theological, and denominational categories hypothesized to be associated with more intensive utilization of medical care at the EOL. We assessed suggested curriculum structure and content for clergy EOL training through interviews and focus groups for the purpose of qualitative analysis. Thematic analysis identified key themes around curriculum structure, curriculum content, and issues of tension. Curriculum structure included ideas for targeting clergy as well as lay congregational leaders and found that clergy were open to combining resources from both religious and health-based institutions. Curriculum content included clergy desires for educational topics such as increasing their medical literacy and reviewing pastoral counseling approaches. Finally, clergy identified challenging barriers to EOL training needing to be openly discussed, including difficulties in collaborating with medical teams, surrounding issues of trust, the role of miracles, and caution of prognostication. Future EOL training is desired and needed for community-based clergy. In partnering together, religious-medical training programs should consider curricula sensitive toward structure, desired content, and perceived clergy tensions.

Community Colleges and Technician Training. Hearings before the Subcommittee on Science, Research and Technology of the Committee on Science and Technology. House of Representatives, Ninety-Ninth Congress, First Session (September 30; November 19, 1985).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Science and Technology.

Hearings were conducted by the House of Representatives Subcommittee on Science, Research and Technology to discuss the role of community colleges in training technical personnel, with particular emphasis on how the National Advanced Technician Training Act of 1985 (HR 2353) would help community colleges meet this role. This bill creates a…

GUIDELINES FOR TRAINING SITUATION ANALYSIS (TSA). FINAL REPORT.

ERIC Educational Resources Information Center

CHENZOFF, ANDREW P.; FOLLEY, JOHN D., JR.

THESE GUIDELINES REPRESENT A TEXTBOOK FOR INSTRUCTION IN THREE PHASES OF TRAINING SITUATION ANALYSIS (TSA), A STANDARDIZED PROCEDURE DEVELOPED BY THE NAVAL TRAINING DEVICE CENTER FOR SYSTEMATICALLY GATHERING AND INTERPRETING THE INFORMATION RELEVANT TO THE PLANNING OF TRAINING AND TRAINING DEVICES. THREE PHASES OF TSA ARE DESCRIBED IN…

Unsupervised object segmentation with a hybrid graph model (HGM).

PubMed

Liu, Guangcan; Lin, Zhouchen; Yu, Yong; Tang, Xiaoou

2010-05-01

In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmentation can be regarded as a special data clustering problem where both class-specific information and local texture/color similarities have to be considered. To this end, we propose a hybrid graph model (HGM) that can make effective use of both symmetric and asymmetric relationship among samples. The vertices of a hybrid graph represent the samples and are connected by directed edges and/or undirected ones, which represent the asymmetric and/or symmetric relationship between them, respectively. When applied to object segmentation, vertices are superpixels, the asymmetric relationship is the conditional dependence of occurrence, and the symmetric relationship is the color/texture similarity. By combining the Markov chain formed by the directed subgraph and the minimal cut of the undirected subgraph, the object boundaries can be determined for each image. Using the HGM, we can conveniently achieve simultaneous segmentation and recognition by integrating both top-down and bottom-up information into a unified process. Experiments on 42 object classes (9,415 images in total) show promising results.

Speech analyzer

NASA Technical Reports Server (NTRS)

Lokerson, D. C. (Inventor)

1977-01-01

A speech signal is analyzed by applying the signal to formant filters which derive first, second and third signals respectively representing the frequency of the speech waveform in the first, second and third formants. A first pulse train having approximately a pulse rate representing the average frequency of the first formant is derived; second and third pulse trains having pulse rates respectively representing zero crossings of the second and third formants are derived. The first formant pulse train is derived by establishing N signal level bands, where N is an integer at least equal to two. Adjacent ones of the signal bands have common boundaries, each of which is a predetermined percentage of the peak level of a complete cycle of the speech waveform.

A pilot study measuring changes in student impressions before and after clinical training using a questionnaire based on the semantic differential technique.

PubMed

Tamura, Naomi; Terashita, Takayoshi; Ogasawara, Katsuhiko

2013-01-01

Students with a positive impression of their studies can become more motivated. This study measured the learning impact of clinical training by comparing student impressions before and after clinical training. The study included 32 students of radiological technology in their final year with the Division of Radiological Science and Technology, Department of Health Sciences, School of Medicine, Hokkaido University. To measure student impressions of x-ray examination training, we developed a questionnaire using the semantic differential technique. The resulting factor analysis identified 2 factors that accounted for 44.9% of the 10 bipolar adjective scales. Factor 1 represented a "resistance" impression of x-ray examination training, and factor 2 represented a "responsibility" impression. The differences in factor scores before and after the clinical training suggest that student impressions are affected by clinical training.

29 CFR 1960.59 - Training of employees and employee representatives.

Code of Federal Regulations, 2010 CFR

2010-07-01

... specialized job safety and health training appropriate to the work performed by the employee, for example: Clerical; printing; welding; crane operation; chemical analysis, and computer operations. Such training...

Binning in Gaussian Kernel Regularization

DTIC Science & Technology

2005-04-01

OSU-SVM Matlab package, the SVM trained on 966 bins has a comparable test classification rate as the SVM trained on 27,179 samples, but reduces the...71.40%) on 966 randomly sampled data. Using the OSU-SVM Matlab package, the SVM trained on 966 bins has a comparable test classification rate as the...the OSU-SVM Matlab package, the SVM trained on 966 bins has a comparable test classification rate as the SVM trained on 27,179 samples, and reduces

The Prevalence of Postgraduate Education in Youth Health Among High School Clinicians and Associated Student Health Outcomes.

PubMed

Denny, Simon; Farrant, Bridget; Utter, Jennifer; Fleming, Theresa; Bullen, Pat; Peiris-John, Roshini; Clark, Terryann

2016-11-01

Despite numerous calls to improve training in adolescent health, there is little known about the prevalence or effectiveness of specialized training in adolescent health. A two-stage random sampling cluster design was used to collect nationally representative data from 8,500 students from 91 high schools. Student data were linked to data from a survey of school health clinicians from participating schools on their level of training in youth health. Multilevel models accounting for demographic characteristics of students were used to estimate the association between nurses and physicians training in youth health and health outcomes among students. Almost all nurses and physicians reported some training in youth health, either having attended lectures or study days in youth health (n = 60, 80%) or completed postgraduate papers in youth health (n = 13, 17.3%). Students in schools where the nurses and physicians had received postgraduate training in youth health were less likely than students from schools with clinicians having attended lectures or study days in youth health to report emotional and behavior difficulties (11.8 vs. 12.7, p = .002) and binge drinking (19.6% vs. 24.9%, p = .03). There were no significant associations between depressive symptoms, suicide risk, cigarette, marijuana, contraception use, or motor vehicle risk behaviors among students and level of training among clinicians in their schools' health service. Postgraduate training in youth health among nurses and physicians in school health services is associated with fewer students reporting mental health difficulties and binge alcohol use. These findings support specialized training in youth health for clinicians working predominantly with young people. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Asymmetrical Sample Training and Asymmetrical Retention Functions in One-to-One and Many-to-One Matching in Pigeons

ERIC Educational Resources Information Center

Grant, Douglas S.

2006-01-01

Pigeons were trained in a matching task with either color (group color-first) or line (group line-first) samples. After asymmetrical training in which each group was initially trained with the same sample on all trials, marked retention asymmetries were obtained. In both groups, accuracy dropped precipitously on trials involving the initially…

Education and Job Training: Preparing for the 21st Century Workforce. Hearing before the Subcommittee on 21st Century Competitiveness of the Committee on Education and the Workforce, House of Representatives. One Hundred Seventh Congress, Second Session (Angola, Indiana, March 22, 2002).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Education and the Workforce.

This is a congressional hearing on how vocational and technical education and job training work together to better prepare workers for the 21st century workforce and on successful educational and job training activities and initiatives in Indiana (IN). Testimony includes statements from United States representatives (Howard P. "Buck"…

Technical Education, Work Force Training, and U.S. Competitiveness. Hearing before the Subcommittee on Technology and Competitiveness of the Committee on Science, Space, and Technology. U.S. House of Representatives, One Hundred Second Congress, First Session (September 17, 1991).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Science, Space and Technology.

This document records the oral and written testimony given at a U.S. House of Representatives subcommittee hearing on technical training and productivity. Witnesses who provided testimony included an official of the National Science Foundation, several administrators of manufacturing companies, a representative of community colleges, and…

Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers

PubMed Central

2018-01-01

Hyperspectral image classification with a limited number of training samples without loss of accuracy is desirable, as collecting such data is often expensive and time-consuming. However, classifiers trained with limited samples usually end up with a large generalization error. To overcome the said problem, we propose a fuzziness-based active learning framework (FALF), in which we implement the idea of selecting optimal training samples to enhance generalization performance for two different kinds of classifiers, discriminative and generative (e.g. SVM and KNN). The optimal samples are selected by first estimating the boundary of each class and then calculating the fuzziness-based distance between each sample and the estimated class boundaries. Those samples that are at smaller distances from the boundaries and have higher fuzziness are chosen as target candidates for the training set. Through detailed experimentation on three publically available datasets, we showed that when trained with the proposed sample selection framework, both classifiers achieved higher classification accuracy and lower processing time with the small amount of training data as opposed to the case where the training samples were selected randomly. Our experiments demonstrate the effectiveness of our proposed method, which equates favorably with the state-of-the-art methods. PMID:29304512

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery

PubMed Central

Li, Na; Xu, Zhaopeng; Zhao, Huijie; Huang, Xinchen; Drummond, Jane; Wang, Daming

2018-01-01

The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances (pixels). However, the feature vector learned by the DD algorithm cannot always effectively represent one type of ground cover. To handle this problem, an instance space-based diverse density (ISBDD) model that employs a novel training strategy is proposed in this paper. In the ISBDD model, DD values of each pixel are computed instead of learning a feature vector, and as a result, the pixel can be classified according to its DD values. Airborne hyperspectral data collected by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor and the Push-broom Hyperspectral Imager (PHI) are applied to evaluate the performance of the proposed model. Results show that the overall classification accuracy of ISBDD model on the AVIRIS and PHI images is up to 97.65% and 89.02%, respectively, while the kappa coefficient is up to 0.97 and 0.88, respectively. PMID:29510547

Strengths in older adults: differential effect of savoring, gratitude and optimism on well-being.

PubMed

Salces-Cubero, Isabel María; Ramírez-Fernández, Encarnación; Ortega-Martínez, Ana Raquel

2018-05-21

Objetive: The present study aimed to compare the efficacy of three separate strengths training-based interventions - Gratitude, Savoring, and Optimism - in older adults. The sample comprised 124 older adults, namely, 74 women and 50 men, non-institutionalized individuals who regularly attend day centers in the provinces of Jaén and Córdoba, southern Spain. Their ages ranged between 60 and 89 years. The measures used were Anxiety, Depression, Life Satisfaction, Positive and Negative Affect, Subjective Happiness, and Resilience. Training in Gratitude and Savoring increased scores in Life Satisfaction, Positive Affect, Subjective Happiness and Resilience, and reduced Negative Affect, whereas training in Optimism failed to produce a significant change in these variables. The Savoring and Optimism interventions decreased scores in Depression but, contrary to hypothesis, this was not the case for Gratitude. These results represent an important step in understanding what type of strengths work best when it comes to enhancing well-being in older adults and consequently helping them tackle the challenges of everyday life and recover as quickly as possible from the adverse situations and events that may arise.

The German VR Simulation Realism Scale--psychometric construction for virtual reality applications with virtual humans.

PubMed

Poeschl, Sandra; Doering, Nicola

2013-01-01

Virtual training applications with high levels of immersion or fidelity (for example for social phobia treatment) produce high levels of presence and therefore belong to the most successful Virtual Reality developments. Whereas display and interaction fidelity (as sub-dimensions of immersion) and their influence on presence are well researched, realism of the displayed simulation depends on the specific application and is therefore difficult to measure. We propose to measure simulation realism by using a self-report questionnaire. The German VR Simulation Realism Scale for VR training applications was developed based on a translation of scene realism items from the Witmer-Singer-Presence Questionnaire. Items for realism of virtual humans (for example for social phobia training applications) were supplemented. A sample of N = 151 students rated simulation realism of a Fear of Public Speaking application. Four factors were derived by item- and principle component analysis (Varimax rotation), representing Scene Realism, Audience Behavior, Audience Appearance and Sound Realism. The scale developed can be used as a starting point for future research and measurement of simulation realism for applications including virtual humans.

[Menarche, menstrual and sociodemographic characteristics of Puerto Rican female athletes in the XV and XVI Central American and Caribbean Games].

PubMed

Rivera, M A; Mendez Zamora, I; Matos, R M; Rivera, A

1993-09-01

This investigation described maturation, menstrual and socio-demographic characteristics of 65 Puerto Rican women athletes that were interviewed during the XVI Central American and Caribbean Games (CACG), Mexico City in 1990. The results were compared with those of Puerto Rican women athletes (n = 52) at the XV CACG, Santiago Dominican Republic, 1986. The quantitative variables (age, age at initiation of training, years of training, age at menarche, birth order, and family size) were not statistically different (t-independent, p > or = 0.05). The observed frequencies for the qualitative variables (menstrual characteristics, degree of certainty in the recall of age of menarche, use of oral contraceptives, and marital status) were very similar. the women at the XVI CAC in Mexico demonstrated similar maturational, menstrual and socio-demographic characteristics to the those athletes evaluated four years earlier in Santiago and based on their long history of training, both samples were representative of athletically mature athletes. The findings were very similar to those reported for olympic athletes and such data expands the available information on Puerto Rican women athletes.

Target discrimination method for SAR images based on semisupervised co-training

NASA Astrophysics Data System (ADS)

Wang, Yan; Du, Lan; Dai, Hui

2018-01-01

Synthetic aperture radar (SAR) target discrimination is usually performed in a supervised manner. However, supervised methods for SAR target discrimination may need lots of labeled training samples, whose acquirement is costly, time consuming, and sometimes impossible. This paper proposes an SAR target discrimination method based on semisupervised co-training, which utilizes a limited number of labeled samples and an abundant number of unlabeled samples. First, Lincoln features, widely used in SAR target discrimination, are extracted from the training samples and partitioned into two sets according to their physical meanings. Second, two support vector machine classifiers are iteratively co-trained with the extracted two feature sets based on the co-training algorithm. Finally, the trained classifiers are exploited to classify the test data. The experimental results on real SAR images data not only validate the effectiveness of the proposed method compared with the traditional supervised methods, but also demonstrate the superiority of co-training over self-training, which only uses one feature set.

Authentication of beef versus horse meat using 60 MHz 1H NMR spectroscopy

PubMed Central

Jakes, W.; Gerdova, A.; Defernez, M.; Watson, A.D.; McCallum, C.; Limer, E.; Colquhoun, I.J.; Williamson, D.C.; Kemsley, E.K.

2015-01-01

This work reports a candidate screening protocol to distinguish beef from horse meat based upon comparison of triglyceride signatures obtained by 60 MHz 1H NMR spectroscopy. Using a simple chloroform-based extraction, we obtained classic low-field triglyceride spectra from typically a 10 min acquisition time. Peak integration was sufficient to differentiate samples of fresh beef (76 extractions) and horse (62 extractions) using Naïve Bayes classification. Principal component analysis gave a two-dimensional “authentic” beef region (p = 0.001) against which further spectra could be compared. This model was challenged using a subset of 23 freeze–thawed training samples. The outcomes indicated that storing samples by freezing does not adversely affect the analysis. Of a further collection of extractions from previously unseen samples, 90/91 beef spectra were classified as authentic, and 16/16 horse spectra as non-authentic. We conclude that 60 MHz 1H NMR represents a feasible high-throughput approach for screening raw meat. PMID:25577043

Methodology for Augmenting Existing Paths with Additional Parallel Transects

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wilson, John E.

2013-09-30

Visual Sample Plan (VSP) is sample planning software that is used, among other purposes, to plan transect sampling paths to detect areas that were potentially used for munition training. This module was developed for application on a large site where existing roads and trails were to be used as primary sampling paths. Gap areas between these primary paths needed to found and covered with parallel transect paths. These gap areas represent areas on the site that are more than a specified distance from a primary path. These added parallel paths needed to optionally be connected together into a single path—themore » shortest path possible. The paths also needed to optionally be attached to existing primary paths, again with the shortest possible path. Finally, the process must be repeatable and predictable so that the same inputs (primary paths, specified distance, and path options) will result in the same set of new paths every time. This methodology was developed to meet those specifications.« less

An Accurate Framework for Arbitrary View Pedestrian Detection in Images

NASA Astrophysics Data System (ADS)

Fan, Y.; Wen, G.; Qiu, S.

2018-01-01

We consider the problem of detect pedestrian under from images collected under various viewpoints. This paper utilizes a novel framework called locality-constrained affine subspace coding (LASC). Firstly, the positive training samples are clustered into similar entities which represent similar viewpoint. Then Principal Component Analysis (PCA) is used to obtain the shared feature of each viewpoint. Finally, the samples that can be reconstructed by linear approximation using their top- k nearest shared feature with a small error are regarded as a correct detection. No negative samples are required for our method. Histograms of orientated gradient (HOG) features are used as the feature descriptors, and the sliding window scheme is adopted to detect humans in images. The proposed method exploits the sparse property of intrinsic information and the correlations among the multiple-views samples. Experimental results on the INRIA and SDL human datasets show that the proposed method achieves a higher performance than the state-of-the-art methods in form of effect and efficiency.

STS-42 crewmembers participate in JSC fire fighting training exercises

NASA Technical Reports Server (NTRS)

1991-01-01

STS-42 Discovery, Orbiter Vehicle (OV) 103, Payload Specialist Ulf D. Merbold (far left), fire fighting trainer (center), Payload Specialist Roberta L. Bondar (holding hose nozzle), and backup Payload Specialist Roger K. Crouch position water hoses in the direction of a blazing fire in JSC's Fire Training Pit. The crewmembers and backup are learning fire extinguishing techniques during fire fighting and fire training exercises held at JSC's Fire Training Pit located across from the Gilruth Center Bldg 207. Merbold is representing the European Space Agency (ESA) and Bondar is representing Canada during the International Microgravity Laboratory 1 (IML-1) mission aboard OV-103.

Transfer learning improves supervised image segmentation across imaging protocols.

PubMed

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

2015-05-01

The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervised-learning techniques which, in order to perform well, often require a large amount of labeled training data that is exactly representative of the target data. We therefore propose to use transfer learning for image segmentation. Transfer-learning techniques can cope with differences in distributions between training and target data, and therefore may improve performance over supervised learning for segmentation across scanners and scan protocols. We present four transfer classifiers that can train a classification scheme with only a small amount of representative training data, in addition to a larger amount of other training data with slightly different characteristics. The performance of the four transfer classifiers was compared to that of standard supervised classification on two magnetic resonance imaging brain-segmentation tasks with multi-site data: white matter, gray matter, and cerebrospinal fluid segmentation; and white-matter-/MS-lesion segmentation. The experiments showed that when there is only a small amount of representative training data available, transfer learning can greatly outperform common supervised-learning approaches, minimizing classification errors by up to 60%.

Worksite Training. ERIC Digest No. 109.

ERIC Educational Resources Information Center

Lankard, Bettina A.

Economic, social, and technological changes highlight the value of human resources and employee training. Acquiring the knowledge and skills demanded of today's workers represents a lifelong learning experience that must be nurtured through work-related learning activities and workplace training. For the employer, training supports organizational…

Past, present, and future of neuropsychology in Argentina.

PubMed

Fernandez, Alberto Luis; Ferreres, Aldo; Morlett-Paredes, Alejandra; Rivera, Diego; Arango-Lasprilla, Juan Carlos

2016-11-01

To describe the history, current situation, and future challenges of Argentinian neuropsychology. A brief historical description highlighting the most representative authors and publications is made. In addition, a survey was administered to a sample of 135 neuropsychologists practicing neuropsychology in Argentina. The survey explored the current neuropsychological practices among the respondents. Results show that most Argentinian neuropsychologists are: psychologists, women, and work in the clinical field in the country's major cities. Besides, the practice of neuropsychology is mostly unregulated with few training opportunities. Argentinian neuropsychology emerged from neurology in the early twentieth century and slowly progressed until the 1960s when the first organized research groups were created. Since then, a substantial and steady progress followed. However, more training opportunities and a better regulation of the discipline are needed. No similar studies have been conducted in the past, thus becoming one of the first to describe the development of neuropsychology in Argentina.

Discriminatively learning for representing local image features with quadruplet model

NASA Astrophysics Data System (ADS)

Zhang, Da-long; Zhao, Lei; Xu, Duan-qing; Lu, Dong-ming

2017-11-01

Traditional hand-crafted features for representing local image patches are evolving into current data-driven and learning-based image feature, but learning a robust and discriminative descriptor which is capable of controlling various patch-level computer vision tasks is still an open problem. In this work, we propose a novel deep convolutional neural network (CNN) to learn local feature descriptors. We utilize the quadruplets with positive and negative training samples, together with a constraint to restrict the intra-class variance, to learn good discriminative CNN representations. Compared with previous works, our model reduces the overlap in feature space between corresponding and non-corresponding patch pairs, and mitigates margin varying problem caused by commonly used triplet loss. We demonstrate that our method achieves better embedding result than some latest works, like PN-Net and TN-TG, on benchmark dataset.

Sniffer dogs as part of a bimodal bionic research approach to develop a lung cancer screening†

PubMed Central

Boedeker, Enole; Friedel, Godehard; Walles, Thorsten

2012-01-01

Lung cancer (LC) continues to represent a heavy burden for health care systems worldwide. Epidemiological studies predict that its role will increase in the near future. While patient prognosis is strongly associated with tumour stage and early detection of disease, no screening test exists so far. It has been suggested that electronic sensor devices, commonly referred to as ‘electronic noses’, may be applicable to identify cancer-specific volatile organic compounds in the breath of patients and therefore may represent promising screening technologies. However, three decades of research did not bring forward a clinically applicable device. Here, we propose a new research approach by involving specially trained sniffer dogs into research strategies by making use of their ability to identify LC in the breath sample of patients. PMID:22345057

CpG island methylation profile in non-invasive oral rinse samples is predictive of oral and pharyngeal carcinoma.

PubMed

Langevin, Scott M; Eliot, Melissa; Butler, Rondi A; Cheong, Agnes; Zhang, Xiang; McClean, Michael D; Koestler, Devin C; Kelsey, Karl T

2015-01-01

There are currently no screening tests in routine use for oral and pharyngeal cancer beyond visual inspection and palpation, which are provided on an opportunistic basis, indicating a need for development of novel methods for early detection, particularly in high-risk populations. We sought to address this need through comprehensive interrogation of CpG island methylation in oral rinse samples. We used the Infinium HumanMethylation450 BeadArray to interrogate DNA methylation in oral rinse samples collected from 154 patients with incident oral or pharyngeal carcinoma prior to treatment and 72 cancer-free control subjects. Subjects were randomly allocated to either a training or a testing set. For each subject, average methylation was calculated for each CpG island represented on the array. We applied a semi-supervised recursively partitioned mixture model to the CpG island methylation data to identify a classifier for prediction of case status in the training set. We then applied the resultant classifier to the testing set for validation and to assess the predictive accuracy. We identified a methylation classifier comprised of 22 CpG islands, which predicted oral and pharyngeal carcinoma with a high degree of accuracy (AUC = 0.92, 95 % CI 0.86, 0.98). This novel methylation panel is a strong predictor of oral and pharyngeal carcinoma case status in oral rinse samples and may have utility in early detection and post-treatment follow-up.

Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images.

PubMed

Lin, Chinsu; Popescu, Sorin C; Thomson, Gavin; Tsogt, Khongor; Chang, Chein-I

2015-01-01

This paper proposes a supervised classification scheme to identify 40 tree species (2 coniferous, 38 broadleaf) belonging to 22 families and 36 genera in high spatial resolution QuickBird multispectral images (HMS). Overall kappa coefficient (OKC) and species conditional kappa coefficients (SCKC) were used to evaluate classification performance in training samples and estimate accuracy and uncertainty in test samples. Baseline classification performance using HMS images and vegetation index (VI) images were evaluated with an OKC value of 0.58 and 0.48 respectively, but performance improved significantly (up to 0.99) when used in combination with an HMS spectral-spatial texture image (SpecTex). One of the 40 species had very high conditional kappa coefficient performance (SCKC ≥ 0.95) using 4-band HMS and 5-band VIs images, but, only five species had lower performance (0.68 ≤ SCKC ≤ 0.94) using the SpecTex images. When SpecTex images were combined with a Visible Atmospherically Resistant Index (VARI), there was a significant improvement in performance in the training samples. The same level of improvement could not be replicated in the test samples indicating that a high degree of uncertainty exists in species classification accuracy which may be due to individual tree crown density, leaf greenness (inter-canopy gaps), and noise in the background environment (intra-canopy gaps). These factors increase uncertainty in the spectral texture features and therefore represent potential problems when using pixel-based classification techniques for multi-species classification.

An Improvement To The k-Nearest Neighbor Classifier For ECG Database

NASA Astrophysics Data System (ADS)

Jaafar, Haryati; Hidayah Ramli, Nur; Nasir, Aimi Salihah Abdul

2018-03-01

The k nearest neighbor (kNN) is a non-parametric classifier and has been widely used for pattern classification. However, in practice, the performance of kNN often tends to fail due to the lack of information on how the samples are distributed among them. Moreover, kNN is no longer optimal when the training samples are limited. Another problem observed in kNN is regarding the weighting issues in assigning the class label before classification. Thus, to solve these limitations, a new classifier called Mahalanobis fuzzy k-nearest centroid neighbor (MFkNCN) is proposed in this study. Here, a Mahalanobis distance is applied to avoid the imbalance of samples distribition. Then, a surrounding rule is employed to obtain the nearest centroid neighbor based on the distributions of training samples and its distance to the query point. Consequently, the fuzzy membership function is employed to assign the query point to the class label which is frequently represented by the nearest centroid neighbor Experimental studies from electrocardiogram (ECG) signal is applied in this study. The classification performances are evaluated in two experimental steps i.e. different values of k and different sizes of feature dimensions. Subsequently, a comparative study of kNN, kNCN, FkNN and MFkCNN classifier is conducted to evaluate the performances of the proposed classifier. The results show that the performance of MFkNCN consistently exceeds the kNN, kNCN and FkNN with the best classification rates of 96.5%.

Culturally appropriate methodology in obtaining a representative sample of South Australian Aboriginal adults for a cross-sectional population health study: challenges and resolutions.

PubMed

Marin, Tania; Taylor, Anne Winifred; Grande, Eleonora Dal; Avery, Jodie; Tucker, Graeme; Morey, Kim

2015-05-19

The considerably lower average life expectancy of Aboriginal and Torres Strait Islander Australians, compared with non-Aboriginal and non-Torres Strait Islander Australians, has been widely reported. Prevalence data for chronic disease and health risk factors are needed to provide evidence based estimates for Australian Aboriginal and Torres Strait Islanders population health planning. Representative surveys for these populations are difficult due to complex methodology. The focus of this paper is to describe in detail the methodological challenges and resolutions of a representative South Australian Aboriginal population-based health survey. Using a stratified multi-stage sampling methodology based on the Australian Bureau of Statistics 2006 Census with culturally appropriate and epidemiological rigorous methods, 11,428 randomly selected dwellings were approached from a total of 209 census collection districts. All persons eligible for the survey identified as Aboriginal and/or Torres Strait Islander and were selected from dwellings identified as having one or more Aboriginal person(s) living there at the time of the survey. Overall, the 399 interviews from an eligible sample of 691 SA Aboriginal adults yielded a response rate of 57.7%. These face-to-face interviews were conducted by ten interviewers retained from a total of 27 trained Aboriginal interviewers. Challenges were found in three main areas: identification and recruitment of participants; interviewer recruitment and retainment; and using appropriate engagement with communities. These challenges were resolved, or at least mainly overcome, by following local protocols with communities and their representatives, and reaching agreement on the process of research for Aboriginal people. Obtaining a representative sample of Aboriginal participants in a culturally appropriate way was methodologically challenging and required high levels of commitment and resources. Adhering to these principles has resulted in a rich and unique data set that provides an overview of the self-reported health status for Aboriginal people living in South Australia. This process provides some important principles to be followed when engaging with Aboriginal people and their communities for the purpose of health research.

Lessons learned from implementing a wet laboratory molecular training workshop for beach water quality monitoring.

PubMed

Verhougstraete, Marc Paul; Brothers, Sydney; Litaker, Wayne; Blackwood, A Denene; Noble, Rachel

2015-01-01

Rapid molecular testing methods are poised to replace many of the conventional, culture-based tests currently used in fields such as water quality and food science. Rapid qPCR methods have the benefit of being faster than conventional methods and provide a means to more accurately protect public health. However, many scientists and technicians in water and food quality microbiology laboratories have limited experience using these molecular tests. To ensure that practitioners can use and implement qPCR techniques successfully, we developed a week long workshop to provide hands-on training and exposure to rapid molecular methods for water quality management. This workshop trained academic professors, government employees, private industry representatives, and graduate students in rapid qPCR methods for monitoring recreational water quality. Attendees were immersed in these new methods with hands-on laboratory sessions, lectures, and one-on-one training. Upon completion, the attendees gained sufficient knowledge and practice to teach and share these new molecular techniques with colleagues at their respective laboratories. Key findings from this workshop demonstrated: 1) participants with no prior experience could be effectively trained to conduct highly repeatable qPCR analysis in one week; 2) participants with different desirable outcomes required exposure to a range of different platforms and sample processing approaches; and 3) the collaborative interaction amongst newly trained practitioners, workshop leaders, and members of the water quality community helped foster a cohesive cohort of individuals which can advocate powerful cohort for proper implementation of molecular methods.

European Working Time Directive: Implementation across -Europe and consequences upon training in obstetrics and -gynaecology.

PubMed

Pärgmäe, P; Martins, N; Rodríguez, D; Christopoulos, P; Werner, H M J

2011-01-01

To review the compliance of the European Working Time Directive (EWTD) in different teaching hospitals across Europe and its consequences upon training. It is an observational, descriptive, cross-sectional study. The sample is constituted by the answers from trainees selected by the representatives of 29 European Network of Trainees in Ob/Gyn (ENTOG) member countries to a survey designed by ENTOG Executive. The survey content was based on a joint survey by the Royal College of Obstetricians and Gynaecologists (RCOG) and the Royal College for Paediatrics (RCP), carried out in 2008, but adapted for use on a European level. An answer rate of 75% was obtained. Only 5 countries out of 29 were compliant with EWTD two months before the compulsory adherence. Countries needed to introduce 1 to 4 changes to the system to make the rotas -compliant. Positive effect on work and private life balance was noticed in 87% from all responses. Trainees notice the need to further improve training programmes in order to have the same quality of training and continuous care of patients. Steps forward to implement EWTD are being made. Trainees should be involved with the introduction to optimize training conditions under the EWTD. Countries that still struggle to introduce the directive may learn from countries that already are compliant. It is suggested to organize a survey on senior society level to gain additional information to further investigate the effects on training quality and patient care.

Lessons Learned from Implementing a Wet Laboratory Molecular Training Workshop for Beach Water Quality Monitoring

PubMed Central

Verhougstraete, Marc Paul; Brothers, Sydney; Litaker, Wayne; Blackwood, A. Denene; Noble, Rachel

2015-01-01

Rapid molecular testing methods are poised to replace many of the conventional, culture-based tests currently used in fields such as water quality and food science. Rapid qPCR methods have the benefit of being faster than conventional methods and provide a means to more accurately protect public health. However, many scientists and technicians in water and food quality microbiology laboratories have limited experience using these molecular tests. To ensure that practitioners can use and implement qPCR techniques successfully, we developed a week long workshop to provide hands-on training and exposure to rapid molecular methods for water quality management. This workshop trained academic professors, government employees, private industry representatives, and graduate students in rapid qPCR methods for monitoring recreational water quality. Attendees were immersed in these new methods with hands-on laboratory sessions, lectures, and one-on-one training. Upon completion, the attendees gained sufficient knowledge and practice to teach and share these new molecular techniques with colleagues at their respective laboratories. Key findings from this workshop demonstrated: 1) participants with no prior experience could be effectively trained to conduct highly repeatable qPCR analysis in one week; 2) participants with different desirable outcomes required exposure to a range of different platforms and sample processing approaches; and 3) the collaborative interaction amongst newly trained practitioners, workshop leaders, and members of the water quality community helped foster a cohesive cohort of individuals which can advocate powerful cohort for proper implementation of molecular methods. PMID:25822486

Revised associative inference paradigm confirms relational memory impairment in schizophrenia

PubMed Central

Armstrong, Kristan; Williams, Lisa E.; Heckers, Stephan

2013-01-01

Objective Patients with schizophrenia have widespread cognitive impairments, with selective deficits in relational memory. We previously reported a differential relational memory deficit in schizophrenia using the Associative Inference Paradigm (AIP), a task suggested by the Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia (CNTRICS) initiative to examine relational memory. However, the AIP had limited feasibility for testing in schizophrenia due to high attrition of schizophrenia patients during training. Here we developed and tested a revised version of the AIP to improve feasibility. Method 30 healthy control and 37 schizophrenia subjects received 3 study-test sessions on 3 sets of paired associates: H-F1 (house paired with face), H-F2 (same house paired with new face), and F3-F4 (two novel faces). After training, subjects were tested on the trained, non-inferential Face-Face pairs (F3-F4) and novel, inferential Face-Face pairs (F1-F2), constructed from the faces of the trained House-Face pairs. Results Schizophrenia patients were significantly more impaired on the inferential F1-F2 pairs than the non-inferential F3-F4 pairs, providing evidence for a differential relational memory deficit. Only 8 percent of schizophrenia patients were excluded from testing due to poor training performance. Conclusions The revised AIP confirmed the previous finding of a relational memory deficit in a larger and more representative sample of schizophrenia patients. PMID:22612578

Revised associative inference paradigm confirms relational memory impairment in schizophrenia.

PubMed

Armstrong, Kristan; Williams, Lisa E; Heckers, Stephan

2012-07-01

Patients with schizophrenia have widespread cognitive impairments, with selective deficits in relational memory. We previously reported a differential relational memory deficit in schizophrenia using the Associative Inference Paradigm (AIP), a task suggested by the Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia (CNTRICS) initiative to examine relational memory. However, the AIP had limited feasibility for testing in schizophrenia because of high attrition of schizophrenia patients during training. Here we developed and tested a revised version of the AIP to improve feasibility. 30 healthy control and 37 schizophrenia subjects received 3 study-test sessions on 3 sets of paired associates: H-F1 (house paired with face), H-F2 (same house paired with new face), and F3-F4 (two novel faces). After training, subjects were tested on the trained, noninferential Face-Face pairs (F3-F4) and novel, inferential Face-Face pairs (F1-F2), constructed from the faces of the trained House-Face pairs. Schizophrenia patients were significantly more impaired on the inferential F1-F2 pairs than the noninferential F3-F4 pairs, providing evidence for a differential relational memory deficit. Only 8% of schizophrenia patients were excluded from testing because of poor training performance. The revised AIP confirmed the previous finding of a relational memory deficit in a larger and more representative sample of schizophrenia patients.

Simulated job interview skill training for people with psychiatric disability: feasibility and tolerability of virtual reality training.

PubMed

Bell, Morris D; Weinstein, Andrea

2011-09-01

The job interview is an important step toward successful employment and often a significant challenge for people with psychiatric disability. Vocational rehabilitation specialists can benefit from a systematic approach to training job interview skills. The investigators teamed up with a company that specializes in creating simulated job interview training to create software that provides a virtual reality experience with which learners can systematically improve their job interview skills, reduce their fears, and increase their confidence about going on job interviews. The development of this software is described and results are presented from a feasibility and tolerability trial with 10 participants with psychiatric disability referred from their vocational service programs. Results indicate that this representative sample had a strongly positive response to the prototype job interview simulation. They found it easy to use, enjoyed the experience, and thought it realistic and helpful. Almost all described the interview as anxiety provoking but that the anxiety lessened as they became more skilled. They saw the benefit of its special features such as ongoing feedback from a "coach in the corner" and from being able to review a transcript of the interview. They believed that they could learn the skills being taught through these methods. Participants were enthusiastic about wanting to use the final product when it becomes available. The advantages of virtual reality technology for training important skills for rehabilitation are discussed.

The Influence of Gender on ProfessionalismFemale in Trainees.

PubMed

Ahn, Jae Hee

2012-06-01

This study aimed to analyze the experience of female trainees who were trained in hospitals after graduating from medical school, focusing on methods of representing their gender in training courses. We interviewed 8 trainees who had been trained in a hospital in Seoul and 4 faculties from June 2010 to October 2010. We analyzed their similarities and differences and developed a vocational identity formation process to represent gender. Gender was represented contradictorily in their training course, affecting their choice of specialties and interactions with patients. But, female trainees did not want to their being distinguished from their male counterparts with regard to being a good doctor to be influenced by meritocracy. It was difficult for them to bear children and balance work and family life due to aspects of the training system, including long work hours and the lack of replacement workers. Consequently, they asked their parents to help with child care, because hospitals are not interested in the maternity system. Female trainees did not consider being a doctor to be a male profession. Likely, they believed that their femininity influenced their professionalism positively. The methods of representing gender are influenced by the training system, based a male-dominated apprenticeship. Thus, we will research the mechanisms that influence gender-discriminated choices in specialties, hospitals, and medical schools and prepare a maternity care system for female trainees. Strategies that maximize recruitment and retention of women in medicine should include a consideration of alternative work schedules and optimization of maternity leave and child care opportunities.

14 CFR 135.336 - Airline transport pilot certification training program.

Code of Federal Regulations, 2014 CFR

2014-01-01

... (v) Evaluation. (4) If providing training in a flight simulation training device, holds an aircraft type rating for the aircraft represented by the flight simulation training device utilized in the... simulation; (iv) Minimum equipment requirements for each curriculum; and (v) The maneuvers that will be...

Implementing Training for Correctional Educators. Correctional/Special Education Training Project.

ERIC Educational Resources Information Center

Wolford, Bruce I., Ed.; And Others

These papers represent the collected thoughts of the contributors to a national training and dissemination conference dealing with identifying and developing linkages between postsecondary special education and criminal justice preservice education programs in order to improve training for correctional educators working with disabled clients. The…

The development of radioactive sample surrogates for training and exercises

DOE Office of Scientific and Technical Information (OSTI.GOV)

Martha Finck; Bevin Brush; Dick Jansen

2012-03-01

The development of radioactive sample surrogates for training and exercises Source term information is required for to reconstruct a device used in a dispersed radiological dispersal device. Simulating a radioactive environment to train and exercise sampling and sample characterization methods with suitable sample materials is a continued challenge. The Idaho National Laboratory has developed and permitted a Radioactive Response Training Range (RRTR), an 800 acre test range that is approved for open air dispersal of activated KBr, for training first responders in the entry and exit from radioactively contaminated areas, and testing protocols for environmental sampling and field characterization. Membersmore » from the Department of Defense, Law Enforcement, and the Department of Energy participated in the first contamination exercise that was conducted at the RRTR in the July 2011. The range was contaminated using a short lived radioactive Br-82 isotope (activated KBr). Soil samples contaminated with KBr (dispersed as a solution) and glass particles containing activated potassium bromide that emulated dispersed radioactive materials (such as ceramic-based sealed source materials) were collected to assess environmental sampling and characterization techniques. This presentation summarizes the performance of a radioactive materials surrogate for use as a training aide for nuclear forensics.« less

Tabu search and binary particle swarm optimization for feature selection using microarray data.

PubMed

Chuang, Li-Yeh; Yang, Cheng-Huei; Yang, Cheng-Hong

2009-12-01

Gene expression profiles have great potential as a medical diagnosis tool because they represent the state of a cell at the molecular level. In the classification of cancer type research, available training datasets generally have a fairly small sample size compared to the number of genes involved. This fact poses an unprecedented challenge to some classification methodologies due to training data limitations. Therefore, a good selection method for genes relevant for sample classification is needed to improve the predictive accuracy, and to avoid incomprehensibility due to the large number of genes investigated. In this article, we propose to combine tabu search (TS) and binary particle swarm optimization (BPSO) for feature selection. BPSO acts as a local optimizer each time the TS has been run for a single generation. The K-nearest neighbor method with leave-one-out cross-validation and support vector machine with one-versus-rest serve as evaluators of the TS and BPSO. The proposed method is applied and compared to the 11 classification problems taken from the literature. Experimental results show that our method simplifies features effectively and either obtains higher classification accuracy or uses fewer features compared to other feature selection methods.

Classification of stellar spectra with SVM based on within-class scatter and between-class scatter

NASA Astrophysics Data System (ADS)

Liu, Zhong-bao; Zhou, Fang-xiao; Qin, Zhen-tao; Luo, Xue-gang; Zhang, Jing

2018-07-01

Support Vector Machine (SVM) is a popular data mining technique, and it has been widely applied in astronomical tasks, especially in stellar spectra classification. Since SVM doesn't take the data distribution into consideration, and therefore, its classification efficiencies can't be greatly improved. Meanwhile, SVM ignores the internal information of the training dataset, such as the within-class structure and between-class structure. In view of this, we propose a new classification algorithm-SVM based on Within-Class Scatter and Between-Class Scatter (WBS-SVM) in this paper. WBS-SVM tries to find an optimal hyperplane to separate two classes. The difference is that it incorporates minimum within-class scatter and maximum between-class scatter in Linear Discriminant Analysis (LDA) into SVM. These two scatters represent the distributions of the training dataset, and the optimization of WBS-SVM ensures the samples in the same class are as close as possible and the samples in different classes are as far as possible. Experiments on the K-, F-, G-type stellar spectra from Sloan Digital Sky Survey (SDSS), Data Release 8 show that our proposed WBS-SVM can greatly improve the classification accuracies.

Electronic aroma detection technology for forensic and law enforcement applications

NASA Astrophysics Data System (ADS)

Barshick, Stacy-Ann; Griest, Wayne H.; Vass, Arpad A.

1997-02-01

A major problem hindering criminal investigations is the lack of appropriate tools for proper crime scene investigations. Often locating important pieces of evidence means relying on the ability of trained detection canines. Development of analytical technology to uncover and analyze evidence, potentially at the scene, could serve to expedite criminal investigations, searches, and court proceedings. To address this problem, a new technology based on gas sensor arrays was investigated for its applicability to forensic and law enforcement problems. The technology employs an array of sensors that respond to volatile chemical components yielding a characteristic 'fingerprint' pattern representative of the vapor-phase composition of a sample. Sample aromas can be analyzed and identified using artificial neural networks that are trained on known aroma patterns. Several candidate applications based on known technological needs of the forensic and law enforcement communities have been investigated. These applications have included the detection of aromas emanating from cadavers to aid in determining time since death, drug detection for deterring the manufacture, sale, and use of drugs of abuse, and the analysis of fire debris for accelerant identification. The result to date for these applications have been extremely promising and demonstrate the potential applicability of this technology for forensic use.

Some Factors Influencing Air Force Simulator Training Effectiveness. Technical Report.

ERIC Educational Resources Information Center

Caro, Paul W.

A study of U.S. Air Force simulator training was conducted to identify factors that influence the effectiveness of such training and to learn how its effectiveness is being determined. The research consisted of a survey of ten representative Air Force simulator training programs and a review of the simulator training research literature. A number…

Attitudes on en route air traffic control training and work : a comparison of recruits initially trained at the FAA Academy and recruits initially trained at assigned centers.

DOT National Transportation Integrated Search

1975-05-01

In this comparison, questionnaires concerning aspects of training-related and work-related attitudes were sent to 225 ATC trainees who represented groups of attritions and retentions in two En Route training programs; viz, programs that provided basi...

On estimating the effects of clock instability with flicker noise characteristics

NASA Technical Reports Server (NTRS)

Wu, S. C.

1981-01-01

A scheme for flicker noise generation is given. The second approach is that of successive segmentation: A clock fluctuation is represented by 2N piecewise linear segments and then converted into a summation of N+1 triangular pulse train functions. The statistics of the clock instability are then formulated in terms of two sample variances at N+1 specified averaging times. The summation converges very rapidly that a value of N 6 is seldom necessary. An application to radio interferometric geodesy shows excellent agreement between the two approaches. Limitations to and the relative merits of the two approaches are discussed.

Teacher in Space Participants testing space food in orientation session

NASA Image and Video Library

1985-09-25

S85-39978 (10 Sept. 1985) --- Sharon Christa McAuliffe, left, appears to be deciding what she thinks of a piece of space food she tastes during a session of interfacing with space shuttle life sciences. Barbara R. Morgan samples an apricot. The two are in early training at the Johnson Space Center (JSC) in preparation for the STS-51L spaceflight early next year. McAuliffe is prime payload specialist representing the Teacher in Space Project, and Morgan is her backup. Dr. C.T. Bourland, a dietitian specialist, assists the two. Photo credit: NASA

Key considerations for the experimental training and evaluation of cancer odour detection dogs: lessons learnt from a double-blind, controlled trial of prostate cancer detection

PubMed Central

2014-01-01

Background Cancer detection using sniffer dogs is a potential technology for clinical use and research. Our study sought to determine whether dogs could be trained to discriminate the odour of urine from men with prostate cancer from controls, using rigorous testing procedures and well-defined samples from a major research hospital. Methods We attempted to train ten dogs by initially rewarding them for finding and indicating individual prostate cancer urine samples (Stage 1). If dogs were successful in Stage 1, we then attempted to train them to discriminate prostate cancer samples from controls (Stage 2). The number of samples used to train each dog varied depending on their individual progress. Overall, 50 unique prostate cancer and 67 controls were collected and used during training. Dogs that passed Stage 2 were tested for their ability to discriminate 15 (Test 1) or 16 (Tests 2 and 3) unfamiliar prostate cancer samples from 45 (Test 1) or 48 (Tests 2 and 3) unfamiliar controls under double-blind conditions. Results Three dogs reached training Stage 2 and two of these learnt to discriminate potentially familiar prostate cancer samples from controls. However, during double-blind tests using new samples the two dogs did not indicate prostate cancer samples more frequently than expected by chance (Dog A sensitivity 0.13, specificity 0.71, Dog B sensitivity 0.25, specificity 0.75). The other dogs did not progress past Stage 1 as they did not have optimal temperaments for the sensitive odour discrimination training. Conclusions Although two dogs appeared to have learnt to select prostate cancer samples during training, they did not generalise on a prostate cancer odour during robust double-blind tests involving new samples. Our study illustrates that these rigorous tests are vital to avoid drawing misleading conclusions about the abilities of dogs to indicate certain odours. Dogs may memorise the individual odours of large numbers of training samples rather than generalise on a common odour. The results do not exclude the possibility that dogs could be trained to detect prostate cancer. We recommend that canine olfactory memory is carefully considered in all future studies and rigorous double-blind methods used to avoid confounding effects. PMID:24575737

Combining high-speed SVM learning with CNN feature encoding for real-time target recognition in high-definition video for ISR missions

NASA Astrophysics Data System (ADS)

Kroll, Christine; von der Werth, Monika; Leuck, Holger; Stahl, Christoph; Schertler, Klaus

2017-05-01

For Intelligence, Surveillance, Reconnaissance (ISR) missions of manned and unmanned air systems typical electrooptical payloads provide high-definition video data which has to be exploited with respect to relevant ground targets in real-time by automatic/assisted target recognition software. Airbus Defence and Space is developing required technologies for real-time sensor exploitation since years and has combined the latest advances of Deep Convolutional Neural Networks (CNN) with a proprietary high-speed Support Vector Machine (SVM) learning method into a powerful object recognition system with impressive results on relevant high-definition video scenes compared to conventional target recognition approaches. This paper describes the principal requirements for real-time target recognition in high-definition video for ISR missions and the Airbus approach of combining an invariant feature extraction using pre-trained CNNs and the high-speed training and classification ability of a novel frequency-domain SVM training method. The frequency-domain approach allows for a highly optimized implementation for General Purpose Computation on a Graphics Processing Unit (GPGPU) and also an efficient training of large training samples. The selected CNN which is pre-trained only once on domain-extrinsic data reveals a highly invariant feature extraction. This allows for a significantly reduced adaptation and training of the target recognition method for new target classes and mission scenarios. A comprehensive training and test dataset was defined and prepared using relevant high-definition airborne video sequences. The assessment concept is explained and performance results are given using the established precision-recall diagrams, average precision and runtime figures on representative test data. A comparison to legacy target recognition approaches shows the impressive performance increase by the proposed CNN+SVM machine-learning approach and the capability of real-time high-definition video exploitation.

The Effects of Training Institution Practice Costs, Quality, and Other Characteristics on Future Practice

PubMed Central

Phillips, Robert L.; Petterson, Stephen M.; Bazemore, Andrew W.; Wingrove, Peter; Puffer, James C.

2017-01-01

PURPOSE Medicare beneficiary spending patterns reflect those of the 306 Hospital Referral Regions where physicians train, but whether this holds true for smaller areas or for quality is uncertain. This study assesses whether cost and quality imprinting can be detected within the 3,436 Hospital Service Areas (HSAs), 82.4 percent of which have only 1 teaching hospital, and whether sponsoring institution characteristics are associated. METHODS We conducted a secondary, multi-level, multivariable analysis of 2011 Medicare claims and American Medical Association Masterfile data for a random, nationally representative sample of family physicians and general internists who completed residency between 1992 and 2010 and had more than 40 Medicare patients (3,075 physicians providing care to 503,109 beneficiaries). Practice and training locations were matched with Dartmouth Atlas HSAs and categorized into low-, average-, and high-cost spending groups. Practice and training HSAs were assessed for differences in 4 diabetes quality measures. Institutional characteristics included training volume and percentage of graduates in rural practice and primary care. RESULTS The unadjusted, annual, per-beneficiary spending difference between physicians trained in high- and low-cost HSAs was $1,644 (95% CI, $1,253–$2,034), and the difference remained significant after controlling for patient and physician characteristics. No significant relationship was found for diabetes quality measures. General internists were significantly more likely than family physicians to train in high-cost HSAs. Institutions with more graduates in rural practice and primary care produced lower-spending physicians. CONCLUSIONS The “imprint” of training spending patterns on physicians is strong and enduring, without discernible quality effects, and, along with identified institutional features, supports measures and policy options for improved graduate medical education outcomes. PMID:28289113

Effects of exercise training on the glutathione antioxidant system.

PubMed

Elokda, Ahmed S; Nielsen, David H

2007-10-01

The glutathione (GSH) antioxidant system has been shown to play an important role in the maintenance of good health and disease prevention. Various approaches have been used to enhance GSH availability including diet, nutritional supplementation, and drug administration, with minor to moderate success. Exercise training has evolved as a new approach. The purpose of this study was to investigate the effects of aerobic exercise training (AET), circuit weight training (CWT), and combined training (AET+CWT) on general adaptations, and resistance to acutely induced oxidative stress, as assessed by changes in the GSH antioxidant system. Eighty healthy sedentary volunteers participated in the study who were randomly assigned to four groups: control (no exercise); AET, CWT, and AET+CWT. Exercise training programs were designed to simulate outpatient cardiac rehabilitation (40 min x 3 days x 6 weeks). Venous blood sampling was taken at rest and post maximal graded exercise test (GXT). A new improved spectrophotometric venous assay analysis technique was used. A mixed model repeated measures analysis of variance design was used with t-tests for preplanned comparisons evaluated at Bonferroni-adjusted alpha levels. Effectiveness of the exercise training programs was demonstrated by significant between-group (exercise group versus control) comparisons. AET, CWT, and AET+CWT showed significant pretraining-posttraining increases in resting GSH and glutathione-glutathione disulfide ratio (GSH:GSSG), and significant decreases in GSSG levels (P<0.005). AET+CWT showed the most pronounced effect compared with AET or CWT alone (P<0.025). This study represents the first longitudinal investigation involving the effects of multiple modes of exercise training on the GSH antioxidant system with evidence, suggesting the GHS:GSSG ratio as the most sensitive change marker. The significant findings of this study have potential clinical implications to individuals involved in cardiac and pulmonary rehabilitation.

Employment Training Panel Report to the Legislature.

ERIC Educational Resources Information Center

California State Employment Training Panel, Sacramento.

The Employment Training Panel consists of seven representatives of business and labor who were appointed by the Governor of California and the state's legislature to administer funds transferred from the state unemployment insurance fund for job training. The panel is authorized to contract with employers and schools to conduct training that puts…

30 CFR 46.9 - Records of training.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING TRAINING AND... available at the mine a copy of each miner's training records and certificates for inspection by us and for... must be able to provide the certificates upon request by us, miners, or their representatives. (h) You...

Training the American Workforce. Conference Proceedings (San Francisco, California, November 14-16, 1990).

ERIC Educational Resources Information Center

National Governors' Association, Washington, DC. Center for Policy Research.

These conference proceedings contain 18 presentations that represent a broad range of approaches to improving the effectiveness of public employment, education, and training programs. Papers include "Kentucky Job Training Certificate System" (Rigsby); "Public/Private Training Collaboration at the Workplace: The Michigan Job Opportunity…

Sport Psychology Service Provision: Preferences for Consultant Characteristics and Mode of Delivery among Elite Malaysian Athletes

PubMed Central

Ponnusamy, Vellapandian; Grove, J. Robert

2014-01-01

Factors relevant to the working alliance between athletes and sport psychology consultants were investigated in a sample of elite Malaysian athletes (n = 217). The athletes represented a variety of team and individual sports, and they provided information about the perceived importance of seven consultant characteristics/behaviors as well as seven program delivery options. At a full-sample level, general preferences were expressed for consultants to lead a physically active lifestyle, regularly attend training sessions and competitions, and have prior experience as an athlete or coach. General preferences were also expressed for program content to be determined by the coach or consultant, and for regular, small doses of mental skills training to be delivered in a face-to-face context throughout the year. At a sub-group level, team sport athletes had stronger preferences than individual sport athletes for program delivery on a group/team basis, while individual sport athletes had stronger preferences than team sport athletes for having a role in determining program content. Findings are discussed in relation to dominant value themes within Malaysian society and the reinforcement of these themes within specific sport subcultures. Key points Consultant characteristics and program delivery methods have an impact on the effectiveness of sport psychology services. Preferred consultant characteristics and preferred methods of delivery may be affected by cultural and subcultural values. Elite Malaysian athletes prefer consultants to lead a physically active lifestyle; to regularly attend training/competition; and to have prior experience as an athlete or coach. Elite Malaysian athletes also prefer that the coach or consultant determine program content, and that mental skills training take place in a face-to-face context throughout the year. PMID:25177193

Sport Psychology Service Provision: Preferences for Consultant Characteristics and Mode of Delivery among Elite Malaysian Athletes.

PubMed

Ponnusamy, Vellapandian; Grove, J Robert

2014-09-01

Factors relevant to the working alliance between athletes and sport psychology consultants were investigated in a sample of elite Malaysian athletes (n = 217). The athletes represented a variety of team and individual sports, and they provided information about the perceived importance of seven consultant characteristics/behaviors as well as seven program delivery options. At a full-sample level, general preferences were expressed for consultants to lead a physically active lifestyle, regularly attend training sessions and competitions, and have prior experience as an athlete or coach. General preferences were also expressed for program content to be determined by the coach or consultant, and for regular, small doses of mental skills training to be delivered in a face-to-face context throughout the year. At a sub-group level, team sport athletes had stronger preferences than individual sport athletes for program delivery on a group/team basis, while individual sport athletes had stronger preferences than team sport athletes for having a role in determining program content. Findings are discussed in relation to dominant value themes within Malaysian society and the reinforcement of these themes within specific sport subcultures. Key pointsConsultant characteristics and program delivery methods have an impact on the effectiveness of sport psychology services.Preferred consultant characteristics and preferred methods of delivery may be affected by cultural and subcultural values.Elite Malaysian athletes prefer consultants to lead a physically active lifestyle; to regularly attend training/competition; and to have prior experience as an athlete or coach.Elite Malaysian athletes also prefer that the coach or consultant determine program content, and that mental skills training take place in a face-to-face context throughout the year.

Influence of combined iron supplementation and simulated hypoxia on the haematological module of the athlete biological passport.

PubMed

Garvican-Lewis, Laura A; Vuong, Victor L; Govus, Andrew D; Schumacher, Yorck Olaf; Hughes, David; Lovell, Greg; Eichner, Daniel; Gore, Christopher J

2018-04-01

The integrity of the athlete biological passport (ABP) is underpinned by understanding normal fluctuations of its biomarkers to environmental or medical conditions, for example, altitude training or iron deficiency. The combined impact of altitude and iron supplementation on the ABP was evaluated in endurance-trained athletes (n = 34) undertaking 3 weeks of simulated live-high: train-low (14 h.d -1 , 3000 m). Athletes received either oral, intravenous (IV) or placebo iron supplementation, commencing 2 weeks prior and continuing throughout hypoxic exposure. Venous blood was sampled twice prior, weekly during, and up to 6 weeks after altitude. Individual ABP thresholds for haemoglobin concentration ([Hb]), reticulocyte percentage (%retic), and OFF score were calculated using the adaptive model and assessed at 99% and 99.9% specificity. Eleven athletes returned values outside of the calculated reference ranges at 99%, with 8 at 99.9%. The percentage of athletes exceeding the thresholds in each group was similar, but IV returned the most individual occurrences. A similar frequency of abnormalities occurred across the 3 biomarkers, with abnormal [Hb] and OFF score values arising mainly during-, and %retic values mainly post- altitude. Removing samples collected during altitude from the model resulted in 10 athletes returning abnormal values at 99% specificity, 2 of whom had not triggered the model previously. In summary, the abnormalities observed in response to iron supplementation and hypoxia were not systematic and mostly in line with expected physiological adaptations. They do not represent a uniform weakness in the ABP. Nevertheless, altitude training and iron supplementation should be carefully considered by experts evaluating abnormal ABP profiles. Copyright © 2017 John Wiley & Sons, Ltd.

Mapping mountain pine beetle mortality through growth trend analysis of time-series landsat data

USGS Publications Warehouse

Liang, Lu; Chen, Yanlei; Hawbaker, Todd J.; Zhu, Zhi-Liang; Gong, Peng

2014-01-01

Disturbances are key processes in the carbon cycle of forests and other ecosystems. In recent decades, mountain pine beetle (MPB; Dendroctonus ponderosae) outbreaks have become more frequent and extensive in western North America. Remote sensing has the ability to fill the data gaps of long-term infestation monitoring, but the elimination of observational noise and attributing changes quantitatively are two main challenges in its effective application. Here, we present a forest growth trend analysis method that integrates Landsat temporal trajectories and decision tree techniques to derive annual forest disturbance maps over an 11-year period. The temporal trajectory component successfully captures the disturbance events as represented by spectral segments, whereas decision tree modeling efficiently recognizes and attributes events based upon the characteristics of the segments. Validated against a point set sampled across a gradient of MPB mortality, 86.74% to 94.00% overall accuracy was achieved with small variability in accuracy among years. In contrast, the overall accuracies of single-date classifications ranged from 37.20% to 75.20% and only become comparable with our approach when the training sample size was increased at least four-fold. This demonstrates that the advantages of this time series work flow exist in its small training sample size requirement. The easily understandable, interpretable and modifiable characteristics of our approach suggest that it could be applicable to other ecoregions.

Public awareness and self-efficacy of cardiopulmonary resuscitation in communities and outcomes of out-of-hospital cardiac arrest: A multi-level analysis.

PubMed

Ro, Young Sun; Shin, Sang Do; Song, Kyoung Jun; Hong, Sung Ok; Kim, Young Taek; Lee, Dong-Woo; Cho, Sung-Il

2016-05-01

This study aims to test the association between capacity of cardiopulmonary resuscitation (CPR) at community level and survival after out-of-hospital cardiac arrest (OHCA). Emergency medical service (EMS)-treated OHCAs with cardiac etiology in Korea between 2012 and 2013 were analyzed, excluding cases witnessed by EMS providers. Exposure variables were five indexes of community CPR capacity: awareness of CPR (CPR-Awareness), any training experience of CPR (CPR-Any-Training), recent CPR training within the last 2 years (CPR-Recent-Training), CPR training with a manikin (CPR-Manikin-Training), and CPR self-efficacy (CPR-Self-Efficacy). All measures of capacity were calculated as aggregated values for each county level using the national Korean Community Health Survey database of 228,921 responders sampled representatively from 253 counties in 2012. Endpoints were bystander CPR (BCPR) and survival to discharge. We calculated adjusted odds ratios (AORs) per 10% increment in community CPR capacity using multi-level logistic regression models, adjusting for potential confounders at individual levels. Of 29,052 eligible OHCAs, 11,079 (38.1%) received BCPR. Patients were more likely to receive BCPR in communities with higher proportions of residents with CPR-Awareness, CPR-Any-Training, CPR-Recent-Training, CPR-Manikin-Training, and CPR-Self-Efficacy (all p<0.01). AORs for BCPR were 1.06 (1.03-1.10) per 10% increment in CPR-Awareness, 1.10 (1.04-1.15) for CPR-Any-Training, and 1.08 (1.03-1.13) for CPR-Self-Efficacy. For survival to discharge, AORs (95% CIs) were 1.34 (1.23-1.47) per 10% increment in CPR-Awareness, 1.36 (1.20-1.54) for CPR-Any-Training, and 1.29 (1.15-1.45) for CPR-Self-Efficacy. Higher CPR capacity at community level was associated with higher bystander CPR and survival to discharge rates after OHCA. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Using Data Independent Acquisition (DIA) to Model High-responding Peptides for Targeted Proteomics Experiments*

PubMed Central

Searle, Brian C.; Egertson, Jarrett D.; Bollinger, James G.; Stergachis, Andrew B.; MacCoss, Michael J.

2015-01-01

Targeted mass spectrometry is an essential tool for detecting quantitative changes in low abundant proteins throughout the proteome. Although selected reaction monitoring (SRM) is the preferred method for quantifying peptides in complex samples, the process of designing SRM assays is laborious. Peptides have widely varying signal responses dictated by sequence-specific physiochemical properties; one major challenge is in selecting representative peptides to target as a proxy for protein abundance. Here we present PREGO, a software tool that predicts high-responding peptides for SRM experiments. PREGO predicts peptide responses with an artificial neural network trained using 11 minimally redundant, maximally relevant properties. Crucial to its success, PREGO is trained using fragment ion intensities of equimolar synthetic peptides extracted from data independent acquisition experiments. Because of similarities in instrumentation and the nature of data collection, relative peptide responses from data independent acquisition experiments are a suitable substitute for SRM experiments because they both make quantitative measurements from integrated fragment ion chromatograms. Using an SRM experiment containing 12,973 peptides from 724 synthetic proteins, PREGO exhibits a 40–85% improvement over previously published approaches at selecting high-responding peptides. These results also represent a dramatic improvement over the rules-based peptide selection approaches commonly used in the literature. PMID:26100116

The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods.

PubMed

Katzmarzyk, Peter T; Barreira, Tiago V; Broyles, Stephanie T; Champagne, Catherine M; Chaput, Jean-Philippe; Fogelholm, Mikael; Hu, Gang; Johnson, William D; Kuriyan, Rebecca; Kurpad, Anura; Lambert, Estelle V; Maher, Carol; Maia, José; Matsudo, Victor; Olds, Tim; Onywera, Vincent; Sarmiento, Olga L; Standage, Martyn; Tremblay, Mark S; Tudor-Locke, Catrine; Zhao, Pei; Church, Timothy S

2013-09-30

The primary aim of the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) was to determine the relationships between lifestyle behaviours and obesity in a multi-national study of children, and to investigate the influence of higher-order characteristics such as behavioural settings, and the physical, social and policy environments, on the observed relationships within and between countries. The targeted sample included 6000 10-year old children from 12 countries in five major geographic regions of the world (Europe, Africa, the Americas, South-East Asia, and the Western Pacific). The protocol included procedures to collect data at the individual level (lifestyle, diet and physical activity questionnaires, accelerometry), family and neighborhood level (parental questionnaires), and the school environment (school administrator questionnaire and school audit tool). A standard study protocol was developed for implementation in all regions of the world. A rigorous system of training and certification of study personnel was developed and implemented, including web-based training modules and regional in-person training meetings. The results of this study will provide a robust examination of the correlates of adiposity and obesity in children, focusing on both sides of the energy balance equation. The results will also provide important new information that will inform the development of lifestyle, environmental, and policy interventions to address and prevent childhood obesity that may be culturally adapted for implementation around the world. ISCOLE represents a multi-national collaboration among all world regions, and represents a global effort to increase research understanding, capacity and infrastructure in childhood obesity.

Learning semantic histopathological representation for basal cell carcinoma classification

NASA Astrophysics Data System (ADS)

Gutiérrez, Ricardo; Rueda, Andrea; Romero, Eduardo

2013-03-01

Diagnosis of a histopathology glass slide is a complex process that involves accurate recognition of several structures, their function in the tissue and their relation with other structures. The way in which the pathologist represents the image content and the relations between those objects yields a better and accurate diagnoses. Therefore, an appropriate semantic representation of the image content will be useful in several analysis tasks such as cancer classification, tissue retrieval and histopahological image analysis, among others. Nevertheless, to automatically recognize those structures and extract their inner semantic meaning are still very challenging tasks. In this paper we introduce a new semantic representation that allows to describe histopathological concepts suitable for classification. The approach herein identify local concepts using a dictionary learning approach, i.e., the algorithm learns the most representative atoms from a set of random sampled patches, and then models the spatial relations among them by counting the co-occurrence between atoms, while penalizing the spatial distance. The proposed approach was compared with a bag-of-features representation in a tissue classification task. For this purpose, 240 histological microscopical fields of view, 24 per tissue class, were collected. Those images fed a Support Vector Machine classifier per class, using 120 images as train set and the remaining ones for testing, maintaining the same proportion of each concept in the train and test sets. The obtained classification results, averaged from 100 random partitions of training and test sets, shows that our approach is more sensitive in average than the bag-of-features representation in almost 6%.

Representative learning design in springboard diving: Is dry-land training representative of a pool dive?

PubMed

Barris, Sian; Davids, Keith; Farrow, Damian

2013-01-01

Two distinctly separate training facilities (dry-land and aquatic) are routinely used in springboard diving and pose an interesting problem for learning, given the inherent differences in landing (head first vs. feet first) imposed by the different task constraints. Although divers may practise the same preparation phase, take-off and initial aerial rotation in both environments, there is no evidence to suggest that the tasks completed in the dry-land training environment are representative of those performed in the aquatic competition environment. The aim of this study was to compare the kinematics of the preparation phase of reverse dives routinely practised in each environment. Despite their high skill level, it was predicted that individual analyses of elite springboard divers would reveal differences in the joint coordination and board-work between take-offs. The two-dimensional kinematic characteristics were recorded during normal training sessions and used for intra-individual analysis. Kinematic characteristics of the preparatory take-off phase revealed differences in board-work (step lengths, jump height, board depression angles) for all participants at key events. However, the presence of scaled global topological characteristics suggested that all participants adopted similar joint coordination patterns in both environments. These findings suggest that the task constraints of wet and dry training environments are not similar, and highlight the need for coaches to consider representative learning designs in high performance diving programmes.

Computational Approaches for Analyzing Tradeoffs between Training and Aiding. Final Technical Paper for Period February-December 1989.

ERIC Educational Resources Information Center

Rouse, William B.; Johnson, William B.

A methodological framework is presented for representing tradeoffs among alternative combinations of training and aiding for personnel in complex situations. In general, more highly trained people need less aid, and those with less training need more aid. Balancing training and aiding to accomplish the objectives of the system in a cost effective…

Sampling Methods and the Accredited Population in Athletic Training Education Research

ERIC Educational Resources Information Center

Carr, W. David; Volberding, Jennifer

2009-01-01

Context: We describe methods of sampling the widely-studied, yet poorly defined, population of accredited athletic training education programs (ATEPs). Objective: There are two purposes to this study; first to describe the incidence and types of sampling methods used in athletic training education research, and second to clearly define the…

Dehydration and hyponatremia in professional rugby union players: a cohort study observing english premiership rugby union players during match play, field, and gym training in cool environmental conditions.

PubMed

Jones, Benjamin L; OʼHara, John P; Till, Kevin; King, Roderick F G J

2015-01-01

Fluid and sodium balance is important for performance and health; however, limited data in rugby union players exist. The purpose of the study was to evaluate body mass (BM) change (dehydration) and blood[Na] change during exercise. Data were collected from 10 premiership rugby union players, over a 4-week period. Observations included match play (23 subject observations), field (45 subject observations), and gym (33 subject observations) training sessions. Arrival urine samples were analyzed for osmolality, and samples during exercise were analyzed for [Na]. Body mass and blood[Na] were determined pre- and postexercise. Sweat[Na] was analyzed from sweat patches worn during exercise, and fluid intake was measured during exercise. Calculations of fluid and Na loss were made. Mean arrival urine osmolality was 423 ± 157 mOsm·kg, suggesting players were adequately hydrated. After match play, field, and gym training, BM loss was 1.0 ± 0.7, 0.3 ± 0.6, and 0.1 ± 0.6%, respectively. Fluid loss was significantly greater during match play (1.404 ± 0.977 kg) than field (1.008 ± 0.447 kg, p = 0.021) and gym training (0.639 ± 0.536 kg, p < 0.001). Fluid intake was 0.955 ± 0.562, 1.224 ± 0.601, and 0.987 ± 0.503 kg during match play, field, and gym training, respectively. On 43% of observations, players were hyponatremic when BM increased, 57% when BM was maintained, and 35% when there was a BM loss of 0.1-0.9%. Blood[Na] was the representative of normonatremia when BM loss was >1.0%. The findings demonstrate that rugby union players are adequately hydrated on arrival, fluid intake is excessive compared with fluid loss, and some players are at risk of developing hyponatremia.

Class@Baikal: the Endurance of the UNESCO Training-Through-Research Programme

NASA Astrophysics Data System (ADS)

Mazzini, A.; Akhmanov, G.; Khlystov, O.; Tokarev, M.; Korost, D. V.; Poort, J.; Fokina, A.; Giliazetdinova, D. R.; Yurchenko, A.; Vodopyanov, S.

2014-12-01

In July 2014, by the initiative of the Moscow State University and Limnological Institute of Russian Academy of Sciences, the first Training-through-Research Class@Baikal was launched in Lake Baikal, Russia. The cruise program focused on seafloor sampling and acoustic investigations of gas seeps, flares, mud volcanoes, slumps and debris flows, canyons and channels in the coastal proximity. A comprehensive multidisciplinary program to train students has been developed to cover sedimentology, fluid geochemistry, biology, geophysics and marine geology in general. Daily lectures were conducted on board by academics presenting pertinent research projects, and cruise planning and preliminary results were discussed with all the scientific crew. A daily blog with updates on the expedition activities, images, and ongoing cruise results, was also completed (i.e. visit the cruise blog: http://baikal.festivalnauki.ru/) and gave the opportunity to interact with experts as well as attract the interest also of a broader audience. This project is a follow up to the well-established UNESCO Training-through-Research (TTR) Floating University Programme (http://floatinguniversity.ru/) that covered large areas on the European and arctic margins since 1991 with 18 research cruises attended by about 1000 BSc, MSc and PhD students from Europe, Asia, Africa and America. The crucial goal of both programmes is the training of new generations of scientists through active research directly on the field. Students can access the collected data and samples for their Master and PhD projects. Typically an extensive set of analyses and data processing is completed in-house and the results and interpretations are presented at post cruise meetings and international conferences. The Baikal lake is 25 million years old rift zone and provides a large variety of active geological features that can be easily reached at daily sailing distance. This represents an extraordinary opportunity to switch and focus on different disciplines and processes. We envisage extending the duration of the following expeditions completing several crew changes in order to broaden the international cooperation.

Selection and Training of Navy Recruit Company Commanders. Final Report.

ERIC Educational Resources Information Center

Curry, Thomas F., Jr.; And Others

This report addresses the selection, training, and utilization of Navy Recruit Company Commanders (Recruit Training Instructors). It represents one in a series of reports concerning the optimization of Navy Recruit Training to meet the needs of the post-1980 period. The report provides a comprehensive review of the Navy's Recruit Company Commander…

Employee Training Interview Guide. Judging the Quality and Effectiveness of Training Providers. Workforce Tools.

ERIC Educational Resources Information Center

Bergman, Terri

This guide, which is intended for businesspersons and/or labor representatives, contains guidelines and questions for determining whether prospective training providers have the skills to develop/deliver successful employee training programs tailored to a particular firm's needs. The guide is divided into eight sections. Section 1 explains the…

Original and Mirror Face Images and Minimum Squared Error Classification for Visible Light Face Recognition.

PubMed

Wang, Rong

2015-01-01

In real-world applications, the image of faces varies with illumination, facial expression, and poses. It seems that more training samples are able to reveal possible images of the faces. Though minimum squared error classification (MSEC) is a widely used method, its applications on face recognition usually suffer from the problem of a limited number of training samples. In this paper, we improve MSEC by using the mirror faces as virtual training samples. We obtained the mirror faces generated from original training samples and put these two kinds of samples into a new set. The face recognition experiments show that our method does obtain high accuracy performance in classification.

Industrial Training Research Project.

ERIC Educational Resources Information Center

Swanson, R. A.; Sawzin, S. A.

The study was an experimental comparison of the structured versus unstructed training of semiskilled production workers. The experiment was implemented using the following procedures, which are presented in detail: a representative semiskilled production job was selected, the two training programs were characterized and developed, trainees…

Cataract in children attending schools for the blind and resource centers in eastern Africa.

PubMed

Msukwa, Gerald; Njuguna, Margaret; Tumwesigye, Cillasy; Shilio, Bernadeth; Courtright, Paul; Lewallen, Susan

2009-05-01

The aim of this study was to describe results of a representative sample of children who have undergone cataract surgery in schools for the blind in 4 African countries. Cross-sectional study. Children enrolled at schools for the blind in Kenya, Malawi, Tanzania, and Uganda. We used a population-proportional-to-size methodology to select a representative sample of schools for the blind and annexes and included all the children attending the selected schools. Trained teams using standardized examination methods and a modified World Health Organization form examined the children. The form was modified specifically to collect information on outcomes of cataract surgery. Operative status and postoperative visual acuity. Of 1062 children examined, 196 (18%) had undergone cataract surgery or had cataract as the major cause of visual impairment; 140 (71%) had bilateral surgery, 24 (12%) had unilateral surgery, and 32 (16%) had not had surgery. Of operated eyes, 118 (41%) had visual acuity > or =20/200. Intraocular lenses were implanted in 65% of the operated eyes. Eyes with intraocular lens were more likely to have better vision than those without (P for trend = 0.04). Amblyopia was the most common cause of poor visual acuity in children who had undergone cataract surgery. The number of children in the schools who receive cataract surgery has increased greatly since 1995. The high rate of amblyopia highlights the critical need for programs to find children earlier and to ensure adequate follow-up after surgery. Without such programs, the value of training pediatric surgeons will not be fully realized. The authors have no proprietary or commercial interest in any materials discussed in this article.

High-resolution dynamic 31 P-MRSI using a low-rank tensor model.

PubMed

Ma, Chao; Clifford, Bryan; Liu, Yuchi; Gu, Yuning; Lam, Fan; Yu, Xin; Liang, Zhi-Pei

2017-08-01

To develop a rapid 31 P-MRSI method with high spatiospectral resolution using low-rank tensor-based data acquisition and image reconstruction. The multidimensional image function of 31 P-MRSI is represented by a low-rank tensor to capture the spatial-spectral-temporal correlations of data. A hybrid data acquisition scheme is used for sparse sampling, which consists of a set of "training" data with limited k-space coverage to capture the subspace structure of the image function, and a set of sparsely sampled "imaging" data for high-resolution image reconstruction. An explicit subspace pursuit approach is used for image reconstruction, which estimates the bases of the subspace from the "training" data and then reconstructs a high-resolution image function from the "imaging" data. We have validated the feasibility of the proposed method using phantom and in vivo studies on a 3T whole-body scanner and a 9.4T preclinical scanner. The proposed method produced high-resolution static 31 P-MRSI images (i.e., 6.9 × 6.9 × 10 mm 3 nominal resolution in a 15-min acquisition at 3T) and high-resolution, high-frame-rate dynamic 31 P-MRSI images (i.e., 1.5 × 1.5 × 1.6 mm 3 nominal resolution, 30 s/frame at 9.4T). Dynamic spatiospectral variations of 31 P-MRSI signals can be efficiently represented by a low-rank tensor. Exploiting this mathematical structure for data acquisition and image reconstruction can lead to fast 31 P-MRSI with high resolution, frame-rate, and SNR. Magn Reson Med 78:419-428, 2017. © 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Probabilistic graphlet transfer for photo cropping.

PubMed

Zhang, Luming; Song, Mingli; Zhao, Qi; Liu, Xiao; Bu, Jiajun; Chen, Chun

2013-02-01

As one of the most basic photo manipulation processes, photo cropping is widely used in the printing, graphic design, and photography industries. In this paper, we introduce graphlets (i.e., small connected subgraphs) to represent a photo's aesthetic features, and propose a probabilistic model to transfer aesthetic features from the training photo onto the cropped photo. In particular, by segmenting each photo into a set of regions, we construct a region adjacency graph (RAG) to represent the global aesthetic feature of each photo. Graphlets are then extracted from the RAGs, and these graphlets capture the local aesthetic features of the photos. Finally, we cast photo cropping as a candidate-searching procedure on the basis of a probabilistic model, and infer the parameters of the cropped photos using Gibbs sampling. The proposed method is fully automatic. Subjective evaluations have shown that it is preferred over a number of existing approaches.

Effectiveness of occupational safety and health training for migrant farmworkers: a scoping review.

PubMed

Caffaro, F; Micheletti Cremasco, M; Bagagiolo, G; Vigoroso, L; Cavallo, E

2018-04-24

Migrant farmworkers report higher rates of work-related illnesses, injuries and fatalities compared with local workers. Language and cultural barriers represent a relevant source of risk, which can be reduced by means of targeted training interventions. However, very little evidence is available about the effectiveness of Occupational Safety and Health (OSH) training programmes addressing migrant farmworkers. We carried out a scoping review. Currently available literature about the effectiveness of OSH training for migrant farmworkers-in terms of improvements in at least one of the following: safety knowledge, behaviours, attitudes and beliefs and health outcomes-was searched from four databases: PubMed, PsycINFO, Scopus and Web of Science. The screening was performed independently by two authors, and any disagreement was resolved through discussion until consensus was achieved. Once the articles eligible for inclusion were selected, the objectives, design, sample and setting, interventions and findings of each study were recorded. No quality assessment tool for publications considered by this study has been used because a scoping review does not aim for critical appraisal. Twenty-nine publications met the inclusion criteria. Of these, nine cross-sectional studies discussed the effectiveness of training activities in terms of whether participating in any programme had or did not have a significant effect on the dependent variables, when training was considered along with other sociodemographic factors. In the majority of these studies, training appeared to have low or no effect on the dependent variables considered. Twenty mainly within-subject experimental studies addressed the effectiveness of specific training methods, reporting significant improvements especially for interventions based on a participatory approach. Training could greatly contribute to an effective attainment of OSH information, but the present review shows that more evidence is needed to guide the future development of effective training activities. Copyright © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Guidelines for competency development and measurement in rehabilitation psychology postdoctoral training.

PubMed

Stiers, William; Barisa, Mark; Stucky, Kirk; Pawlowski, Carey; Van Tubbergen, Marie; Turner, Aaron P; Hibbard, Mary; Caplan, Bruce

2015-05-01

This study describes the results of a multidisciplinary conference (the Baltimore Conference) that met to develop consensus guidelines for competency specification and measurement in postdoctoral training in rehabilitation psychology. Forty-six conference participants were chosen to include representatives of rehabilitation psychology training and practice communities, representatives of psychology accreditation and certification bodies, persons involved in medical education practice and research, and consumers of training programs (students). Consensus education and training guidelines were developed that specify the key competencies in rehabilitation psychology postdoctoral training, and structured observation checklists were developed for their measurement. This study continues the development of more than 50 years of thinking about education and training in rehabilitation psychology and builds on the existing work to further advance the development of guidelines in this area. The conference developed aspirational guidelines for competency specification and measurement in rehabilitation psychology postdoctoral training (i.e., for studying the outcomes of these training programs). Structured observation of trainee competencies allows examination of actual training outcomes in relation to intended outcomes and provides a methodology for studying how program outcomes are related to program structures and processes so that program improvement can occur. Best practices in applying program evaluation research methods to the study of professional training programs are discussed. (c) 2015 APA, all rights reserved).

A Comparison of Match-to-Sample and Respondent-Type Training of Equivalence Classes

ERIC Educational Resources Information Center

Clayton, Michael C.; Hayes, Linda J.

2004-01-01

Throughout the 25-year history of research on stimulus equivalence, one feature of the training procedure has remained constant, namely, the requirement of operant responding during the training procedures. The present investigation compared the traditional match-to-sample (MTS) training with a more recent respondent-type (ReT) procedure. Another…

Convolutional neural networks based on augmented training samples for synthetic aperture radar target recognition

NASA Astrophysics Data System (ADS)

Yan, Yue

2018-03-01

A synthetic aperture radar (SAR) automatic target recognition (ATR) method based on the convolutional neural networks (CNN) trained by augmented training samples is proposed. To enhance the robustness of CNN to various extended operating conditions (EOCs), the original training images are used to generate the noisy samples at different signal-to-noise ratios (SNRs), multiresolution representations, and partially occluded images. Then, the generated images together with the original ones are used to train a designed CNN for target recognition. The augmented training samples can contrapuntally improve the robustness of the trained CNN to the covered EOCs, i.e., the noise corruption, resolution variance, and partial occlusion. Moreover, the significantly larger training set effectively enhances the representation capability for other conditions, e.g., the standard operating condition (SOC), as well as the stability of the network. Therefore, better performance can be achieved by the proposed method for SAR ATR. For experimental evaluation, extensive experiments are conducted on the Moving and Stationary Target Acquisition and Recognition dataset under SOC and several typical EOCs.

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples

NASA Astrophysics Data System (ADS)

Gao, Yuan; Ma, Jiayi; Yuille, Alan L.

2017-05-01

This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize. Moreover, these examples are typically corrupted by nuisance variables, both linear (i.e., additive nuisance variables such as bad lighting, wearing of glasses) and non-linear (i.e., non-additive pixel-wise nuisance variables such as expression changes). The small number of labeled examples means that it is hard to remove these nuisance variables between the training and testing faces to obtain good recognition performance. To address the problem we propose a method called Semi-Supervised Sparse Representation based Classification (S$^3$RC). This is based on recent work on sparsity where faces are represented in terms of two dictionaries: a gallery dictionary consisting of one or more examples of each person, and a variation dictionary representing linear nuisance variables (e.g., different lighting conditions, different glasses). The main idea is that (i) we use the variation dictionary to characterize the linear nuisance variables via the sparsity framework, then (ii) prototype face images are estimated as a gallery dictionary via a Gaussian Mixture Model (GMM), with mixed labeled and unlabeled samples in a semi-supervised manner, to deal with the non-linear nuisance variations between labeled and unlabeled samples. We have done experiments with insufficient labeled samples, even when there is only a single labeled sample per person. Our results on the AR, Multi-PIE, CAS-PEAL, and LFW databases demonstrate that the proposed method is able to deliver significantly improved performance over existing methods.

Training Aide: Research and Guidance for Effective Training User Guide

DTIC Science & Technology

2013-12-01

Research Product 2014-02 Training Aide: Research and Guidance for Effective Training User Guide Beth Plott Shaun...Effective Training User Guide 5a. CONTRACT OR GRANT NUMBER W91WAW-07-C-0081 5b. PROGRAM ELEMENT NUMBER 611102 6. AUTHOR(S) Beth Plott...Representative and Subject Matter POC: Karin A. Orvis 14. ABSTRACT: This is a user guide for the web-based tool called Training Aide: Research and Guidance

Multiple Teacher Training Programs: Information on Budgets, Services, and Target Groups. Fact Sheet for the Chairman, Budget Committee, House of Representatives.

ERIC Educational Resources Information Center

General Accounting Office, Washington, DC. Health, Education, and Human Services Div.

This study examined the total number of federally funded teacher training programs (excluding student loans and grants that could be used for teacher training), the budget obligations for teacher training programs, the number of teachers trained by these programs, and differences in services across the programs. The study found that in fiscal year…

Macroscopic inhomogeneous deformation behavior arising in single crystal Ni-Mn-Ga foils under tensile loading

NASA Astrophysics Data System (ADS)

Murasawa, Go; Yeduru, Srinivasa R.; Kohl, Manfred

2016-12-01

This study investigated macroscopic inhomogeneous deformation occurring in single-crystal Ni-Mn-Ga foils under uniaxial tensile loading. Two types of single-crystal Ni-Mn-Ga foil samples were examined as-received and after thermo-mechanical training. Local strain and the strain field were measured under tensile loading using laser speckle and digital image correlation. The as-received sample showed a strongly inhomogeneous strain field with intermittence under progressive deformation, but the trained sample result showed strain field homogeneity throughout the specimen surface. The as-received sample is a mainly polycrystalline-like state composed of the domain structure. The sample contains many domain boundaries and large domain structures in the body. Its structure would cause large local strain band nucleation with intermittence. However, the trained one is an ideal single-crystalline state with a transformation preferential orientation of variants after almost all domain boundary and large domain structures vanish during thermo-mechanical training. As a result, macroscopic homogeneous deformation occurs on the trained sample surface during deformation.

The predictive validity of selection for entry into postgraduate training in general practice: evidence from three longitudinal studies

PubMed Central

Patterson, Fiona; Lievens, Filip; Kerrin, Máire; Munro, Neil; Irish, Bill

2013-01-01

Background The selection methodology for UK general practice is designed to accommodate several thousand applicants per year and targets six core attributes identified in a multi-method job-analysis study Aim To evaluate the predictive validity of selection methods for entry into postgraduate training, comprising a clinical problem-solving test, a situational judgement test, and a selection centre. Design and setting A three-part longitudinal predictive validity study of selection into training for UK general practice. Method In sample 1, participants were junior doctors applying for training in general practice (n = 6824). In sample 2, participants were GP registrars 1 year into training (n = 196). In sample 3, participants were GP registrars sitting the licensing examination after 3 years, at the end of training (n = 2292). The outcome measures include: assessor ratings of performance in a selection centre comprising job simulation exercises (sample 1); supervisor ratings of trainee job performance 1 year into training (sample 2); and licensing examination results, including an applied knowledge examination and a 12-station clinical skills objective structured clinical examination (OSCE; sample 3). Results Performance ratings at selection predicted subsequent supervisor ratings of job performance 1 year later. Selection results also significantly predicted performance on both the clinical skills OSCE and applied knowledge examination for licensing at the end of training. Conclusion In combination, these longitudinal findings provide good evidence of the predictive validity of the selection methods, and are the first reported for entry into postgraduate training. Results show that the best predictor of work performance and training outcomes is a combination of a clinical problem-solving test, a situational judgement test, and a selection centre. Implications for selection methods for all postgraduate specialties are considered. PMID:24267856

The predictive validity of selection for entry into postgraduate training in general practice: evidence from three longitudinal studies.

PubMed

Patterson, Fiona; Lievens, Filip; Kerrin, Máire; Munro, Neil; Irish, Bill

2013-11-01

The selection methodology for UK general practice is designed to accommodate several thousand applicants per year and targets six core attributes identified in a multi-method job-analysis study To evaluate the predictive validity of selection methods for entry into postgraduate training, comprising a clinical problem-solving test, a situational judgement test, and a selection centre. A three-part longitudinal predictive validity study of selection into training for UK general practice. In sample 1, participants were junior doctors applying for training in general practice (n = 6824). In sample 2, participants were GP registrars 1 year into training (n = 196). In sample 3, participants were GP registrars sitting the licensing examination after 3 years, at the end of training (n = 2292). The outcome measures include: assessor ratings of performance in a selection centre comprising job simulation exercises (sample 1); supervisor ratings of trainee job performance 1 year into training (sample 2); and licensing examination results, including an applied knowledge examination and a 12-station clinical skills objective structured clinical examination (OSCE; sample 3). Performance ratings at selection predicted subsequent supervisor ratings of job performance 1 year later. Selection results also significantly predicted performance on both the clinical skills OSCE and applied knowledge examination for licensing at the end of training. In combination, these longitudinal findings provide good evidence of the predictive validity of the selection methods, and are the first reported for entry into postgraduate training. Results show that the best predictor of work performance and training outcomes is a combination of a clinical problem-solving test, a situational judgement test, and a selection centre. Implications for selection methods for all postgraduate specialties are considered.

The Effect of Multiprofessional Simulation-Based Obstetric Team Training on Patient-Reported Quality of Care: A Pilot Study.

PubMed

Truijens, Sophie E M; Banga, Franyke R; Fransen, Annemarie F; Pop, Victor J M; van Runnard Heimel, Pieter J; Oei, S Guid

2015-08-01

This study aimed to explore whether multiprofessional simulation-based obstetric team training improves patient-reported quality of care during pregnancy and childbirth. Multiprofessional teams from a large obstetric collaborative network in the Netherlands were trained in teamwork skills using the principles of crew resource management. Patient-reported quality of care was measured with the validated Pregnancy and Childbirth Questionnaire (PCQ) at 6 weeks postpartum. Before the training, 76 postpartum women (sample I) completed the questionnaire 6 weeks postpartum. Three months after the training, another sample of 68 postpartum women (sample II) completed the questionnaire. In sample II (after the training), the mean (SD) score of 108.9 (10.9) on the PCQ questionnaire was significantly higher than the score of 103.5 (11.6) in sample I (before training) (t = 2.75, P = 0.007). The effect size of the increase in PCQ total score was 0.5. Moreover, the subscales "personal treatment during pregnancy" and "educational information" showed a significant increase after the team training (P < 0.001). Items with the largest increase in mean scores included communication between health care professionals, clear leadership, involvement in planning, and better provision of information. Despite the methodological restrictions of a pilot study, the preliminary results indicate that multiprofessional simulation-based obstetric team training seems to improve patient-reported quality of care. The possibility that this improvement relates to the training is supported by the fact that the items with the largest increase are about the principles of crew resource management, used in the training.

Characteristics of out-of-home caregiving environments provided under child welfare services.

PubMed

Barth, Richard P; Green, Rebecca; Webb, Mary Bruce; Wall, Ariana; Gibbons, Claire; Craig, Carlton

2008-01-01

A national probability sample of children who have been in child welfare supervised placements for about one year identifies the characteristics (e.g., age, training, education, health, and home) of the foster parents, kinship foster parents, and group home caregivers. Caregiving respondents provided information about their backgrounds. Interviewers also used the HOME-SF to assess the caregiving environments of foster care and kinship care. Comparisons are made to other nationally representative samples, including the U.S. Census and the National Survey of America's Families. Kinship care, foster care, and group care providers are significantly different from each other--and the general population--in age and education. Findings on the numbers of children cared for, understimulating environments, use of punitive punishment, and low educational levels of caregivers generate suggestions for practice with foster families.

Problems in air traffic management. VII., Job training performance of air traffic control specialists - measurement, structure, and prediction.

DOT National Transportation Integrated Search

1965-07-01

A statistical study of training- and job-performance measures of several hundred Air Traffic Control Specialists (ATCS) representing Enroute, Terminal, and Flight Service Station specialties revealed that training-performance measures reflected: : 1....

Nuclear Medical Technology Training.

ERIC Educational Resources Information Center

Simmons, Guy H., Ed.

This 1-day colloquium, attended by 23 participants representing societies, government agencies, colleges and universities, and other training programs, was conducted for the purpose of reporting on and discussing the curriculums developed at the University of Cincinnati for training nuclear medical technologists. Pilot programs at both the…

Education and Training for American Competitiveness. Hearings before the Committee on Education and Labor, House of Representatives, One Hundredth Congress, First Session on H.R. 5, School Improvement Act of 1987; and H.R. 90 Education and Training for American Competitiveness Act of 1987 (February 10, 11, 18, 25; March 4, 11, and 12, 1987).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Education and Labor.

This congressional report contains testimony pertinent to the passage of the School Improvement Act of 1987 and the Education and Training for American Competitiveness Act of 1987. Testimony by representatives of the following agencies and organizations is included in the report: New York University; the United Steelworkers of America; the…

Indian Employment Training and Related Services Demonstration Act of 1991. Joint Hearing on S. 1530 To Authorize the Integration of Employment, Training, and Related Services Provided by Indian Tribes before the Select Committee on Indian Affairs, United States Senate and the Committee on Labor and Human Resources, Subcommittee on Employment and Productivity. One Hundred Second Congress, First Session (July 25, 1991).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Select Committee on Indian Affairs.

This report documents statements from Senators, agency representatives, and tribal representatives concerning Senate bill S. 1530. The purposes of S. 1530 are to demonstrate how Indian tribal governments can integrate the employment, training and related services they provide in order to improve the effectiveness of those services, reduce…

Performance of a Line Loss Correction Method for Gas Turbine Emission Measurements

NASA Astrophysics Data System (ADS)

Hagen, D. E.; Whitefield, P. D.; Lobo, P.

2015-12-01

International concern for the environmental impact of jet engine exhaust emissions in the atmosphere has led to increased attention on gas turbine engine emission testing. The Society of Automotive Engineers Aircraft Exhaust Emissions Measurement Committee (E-31) has published an Aerospace Information Report (AIR) 6241 detailing the sampling system for the measurement of non-volatile particulate matter from aircraft engines, and is developing an Aerospace Recommended Practice (ARP) for methodology and system specification. The Missouri University of Science and Technology (MST) Center for Excellence for Aerospace Particulate Emissions Reduction Research has led numerous jet engine exhaust sampling campaigns to characterize emissions at different locations in the expanding exhaust plume. Particle loss, due to various mechanisms, occurs in the sampling train that transports the exhaust sample from the engine exit plane to the measurement instruments. To account for the losses, both the size dependent penetration functions and the size distribution of the emitted particles need to be known. However in the proposed ARP, particle number and mass are measured, but size is not. Here we present a methodology to generate number and mass correction factors for line loss, without using direct size measurement. A lognormal size distribution is used to represent the exhaust aerosol at the engine exit plane and is defined by the measured number and mass at the downstream end of the sample train. The performance of this line loss correction is compared to corrections based on direct size measurements using data taken by MST during numerous engine test campaigns. The experimental uncertainty in these correction factors is estimated. Average differences between the line loss correction method and size based corrections are found to be on the order of 10% for number and 2.5% for mass.

Anomaly detection for machine learning redshifts applied to SDSS galaxies

NASA Astrophysics Data System (ADS)

Hoyle, Ben; Rau, Markus Michael; Paech, Kerstin; Bonnett, Christopher; Seitz, Stella; Weller, Jochen

2015-10-01

We present an analysis of anomaly detection for machine learning redshift estimation. Anomaly detection allows the removal of poor training examples, which can adversely influence redshift estimates. Anomalous training examples may be photometric galaxies with incorrect spectroscopic redshifts, or galaxies with one or more poorly measured photometric quantity. We select 2.5 million `clean' SDSS DR12 galaxies with reliable spectroscopic redshifts, and 6730 `anomalous' galaxies with spectroscopic redshift measurements which are flagged as unreliable. We contaminate the clean base galaxy sample with galaxies with unreliable redshifts and attempt to recover the contaminating galaxies using the Elliptical Envelope technique. We then train four machine learning architectures for redshift analysis on both the contaminated sample and on the preprocessed `anomaly-removed' sample and measure redshift statistics on a clean validation sample generated without any preprocessing. We find an improvement on all measured statistics of up to 80 per cent when training on the anomaly removed sample as compared with training on the contaminated sample for each of the machine learning routines explored. We further describe a method to estimate the contamination fraction of a base data sample.

Interprofessional enhanced skills training in periodontology: a qualitative study of one London pilot.

PubMed

Radcliffe, Eloise; Ghotane, Swapnil G; Harrison, Victoria; Gallagher, Jennifer E

2017-01-01

Health Education England (HEE) London developed an innovative 2-year pilot educational and training initiative for enhancing skills in periodontology for dentists and dental hygienists/therapists in 2011. This study explores the perceptions and experiences of those involved in initiating, designing, delivering and participating in this interprofessional approach to training. Semi-structured qualitative interviews were conducted with a purposive sample of key stakeholders including course participants (dentists and dental hygienists and/or therapists), education and training commissioners, and providers towards the end of the 2-year programme. Interviews, based on a topic guide informed by health services and policy literature, were audio-recorded and transcribed verbatim. Data were analysed based on framework methodology, using QSR NVivo 9 software to manage the data. Twenty-two people were interviewed. Although certain challenges were identified in designing, and teaching, a course bringing together different professional backgrounds and level of skills, the experiences of all key stakeholders were overwhelmingly positive relating to the concept. There was evidence of 'creative interprofessional learning', which led to 'enhancing team working', 'enabling role recognition' and 'equipping participants for delivery of new models of care'. Recommendations emerged with regard to future training and wider health policy, and systems that will enable participants on future enhanced skills courses in periodontology to apply these skills in clinical practice. The interprofessional approach to enhanced skills training in periodontology represents an important creative innovation to build capacity within the oral health workforce. This qualitative study has provided a useful insight into the benefits and tensions of an interprofessional model of training from the perspectives of different groups of key stakeholders and suggests its application to other areas of dentistry.

Interprofessional enhanced skills training in periodontology: a qualitative study of one London pilot

PubMed Central

Radcliffe, Eloise; Ghotane, Swapnil G; Harrison, Victoria; Gallagher, Jennifer E

2017-01-01

OBJECTIVES/AIMS: Health Education England (HEE) London developed an innovative 2-year pilot educational and training initiative for enhancing skills in periodontology for dentists and dental hygienists/therapists in 2011. This study explores the perceptions and experiences of those involved in initiating, designing, delivering and participating in this interprofessional approach to training. MATERIALS AND METHODS: Semi-structured qualitative interviews were conducted with a purposive sample of key stakeholders including course participants (dentists and dental hygienists and/or therapists), education and training commissioners, and providers towards the end of the 2-year programme. Interviews, based on a topic guide informed by health services and policy literature, were audio-recorded and transcribed verbatim. Data were analysed based on framework methodology, using QSR NVivo 9 software to manage the data. RESULTS: Twenty-two people were interviewed. Although certain challenges were identified in designing, and teaching, a course bringing together different professional backgrounds and level of skills, the experiences of all key stakeholders were overwhelmingly positive relating to the concept. There was evidence of ‘creative interprofessional learning’, which led to ‘enhancing team working’, ‘enabling role recognition’ and ‘equipping participants for delivery of new models of care’. Recommendations emerged with regard to future training and wider health policy, and systems that will enable participants on future enhanced skills courses in periodontology to apply these skills in clinical practice. CONCLUSION: The interprofessional approach to enhanced skills training in periodontology represents an important creative innovation to build capacity within the oral health workforce. This qualitative study has provided a useful insight into the benefits and tensions of an interprofessional model of training from the perspectives of different groups of key stakeholders and suggests its application to other areas of dentistry. PMID:29607074

High-order graph matching based feature selection for Alzheimer's disease identification.

PubMed

Liu, Feng; Suk, Heung-Il; Wee, Chong-Yaw; Chen, Huafu; Shen, Dinggang

2013-01-01

One of the main limitations of l1-norm feature selection is that it focuses on estimating the target vector for each sample individually without considering relations with other samples. However, it's believed that the geometrical relation among target vectors in the training set may provide useful information, and it would be natural to expect that the predicted vectors have similar geometric relations as the target vectors. To overcome these limitations, we formulate this as a graph-matching feature selection problem between a predicted graph and a target graph. In the predicted graph a node is represented by predicted vector that may describe regional gray matter volume or cortical thickness features, and in the target graph a node is represented by target vector that include class label and clinical scores. In particular, we devise new regularization terms in sparse representation to impose high-order graph matching between the target vectors and the predicted ones. Finally, the selected regional gray matter volume and cortical thickness features are fused in kernel space for classification. Using the ADNI dataset, we evaluate the effectiveness of the proposed method and obtain the accuracies of 92.17% and 81.57% in AD and MCI classification, respectively.

Discriminative Dictionary Learning With Two-Level Low Rank and Group Sparse Decomposition for Image Classification.

PubMed

Wen, Zaidao; Hou, Zaidao; Jiao, Licheng

2017-11-01

Discriminative dictionary learning (DDL) framework has been widely used in image classification which aims to learn some class-specific feature vectors as well as a representative dictionary according to a set of labeled training samples. However, interclass similarities and intraclass variances among input samples and learned features will generally weaken the representability of dictionary and the discrimination of feature vectors so as to degrade the classification performance. Therefore, how to explicitly represent them becomes an important issue. In this paper, we present a novel DDL framework with two-level low rank and group sparse decomposition model. In the first level, we learn a class-shared and several class-specific dictionaries, where a low rank and a group sparse regularization are, respectively, imposed on the corresponding feature matrices. In the second level, the class-specific feature matrix will be further decomposed into a low rank and a sparse matrix so that intraclass variances can be separated to concentrate the corresponding feature vectors. Extensive experimental results demonstrate the effectiveness of our model. Compared with the other state-of-the-arts on several popular image databases, our model can achieve a competitive or better performance in terms of the classification accuracy.

Prospective Associations between Religiousness/Spirituality and Depression and Mediating Effects of Forgiveness in a Nationally Representative Sample of United States Adults.

PubMed

Toussaint, Loren L; Marschall, Justin C; Williams, David R

2012-01-01

The present investigation examines the prospective associations of religiousness/spirituality with depression and the extent to which various dimensions of forgiveness act as mediating mechanisms of these associations. Data are from a nationally representative sample of United States adults who were first interviewed in 1998 and reinterviewed six months later. Measures of religiousness/spirituality, forgiveness, and various sociodemographics were collected. Depression was assessed using the Composite International Diagnostic Interview administered by trained interviewers. Results showed that religiousness/spirituality, forgiveness of oneself and others, and feeling forgiven by God were associated, both cross-sectionally and longitudinally, with depressive status. After controlling for initial depressive status, only forgiveness of oneself and others remained statistically significant predictors of depression. Path analyses revealed that religiousness/spirituality conveyed protective effects, prospectively, on depression by way of an indirect path through forgiveness of others but not forgiveness of oneself. Hence, forgiveness of others acts as a mechanism of the salutary effect of religiousness/spirituality, but forgiveness of oneself is an independent predictor. Conclusions regarding the continued development of this type of research and for the treatment of clients with depression are offered.

Prospective Associations between Religiousness/Spirituality and Depression and Mediating Effects of Forgiveness in a Nationally Representative Sample of United States Adults

PubMed Central

Toussaint, Loren L.; Marschall, Justin C.; Williams, David R.

2012-01-01

The present investigation examines the prospective associations of religiousness/spirituality with depression and the extent to which various dimensions of forgiveness act as mediating mechanisms of these associations. Data are from a nationally representative sample of United States adults who were first interviewed in 1998 and reinterviewed six months later. Measures of religiousness/spirituality, forgiveness, and various sociodemographics were collected. Depression was assessed using the Composite International Diagnostic Interview administered by trained interviewers. Results showed that religiousness/spirituality, forgiveness of oneself and others, and feeling forgiven by God were associated, both cross-sectionally and longitudinally, with depressive status. After controlling for initial depressive status, only forgiveness of oneself and others remained statistically significant predictors of depression. Path analyses revealed that religiousness/spirituality conveyed protective effects, prospectively, on depression by way of an indirect path through forgiveness of others but not forgiveness of oneself. Hence, forgiveness of others acts as a mechanism of the salutary effect of religiousness/spirituality, but forgiveness of oneself is an independent predictor. Conclusions regarding the continued development of this type of research and for the treatment of clients with depression are offered. PMID:22675623

Fundamentals of neurosurgery: virtual reality tasks for training and evaluation of technical skills.

PubMed

Choudhury, Nusrat; Gélinas-Phaneuf, Nicholas; Delorme, Sébastien; Del Maestro, Rolando

2013-11-01

Technical skills training in neurosurgery is mostly done in the operating room. New educational paradigms are encouraging the development of novel training methods for surgical skills. Simulation could answer some of these needs. This article presents the development of a conceptual training framework for use on a virtual reality neurosurgical simulator. Appropriate tasks were identified by reviewing neurosurgical oncology curricula requirements and performing cognitive task analyses of basic techniques and representative surgeries. The tasks were then elaborated into training modules by including learning objectives, instructions, levels of difficulty, and performance metrics. Surveys and interviews were iteratively conducted with subject matter experts to delimitate, review, discuss, and approve each of the development stages. Five tasks were selected as representative of basic and advanced neurosurgical skill. These tasks were: 1) ventriculostomy, 2) endoscopic nasal navigation, 3) tumor debulking, 4) hemostasis, and 5) microdissection. The complete training modules were structured into easy, intermediate, and advanced settings. Performance metrics were also integrated to provide feedback on outcome, efficiency, and errors. The subject matter experts deemed the proposed modules as pertinent and useful for neurosurgical skills training. The conceptual framework presented here, the Fundamentals of Neurosurgery, represents a first attempt to develop standardized training modules for technical skills acquisition in neurosurgical oncology. The National Research Council Canada is currently developing NeuroTouch, a virtual reality simulator for cranial microneurosurgery. The simulator presently includes the five Fundamentals of Neurosurgery modules at varying stages of completion. A first pilot study has shown that neurosurgical residents obtained higher performance scores on the simulator than medical students. Further work will validate its components and use in a training curriculum. Copyright © 2013 N. Choudhury. Published by Elsevier Inc. All rights reserved.

MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS

DOE Office of Scientific and Technical Information (OSTI.GOV)

Masters, Daniel; Steinhardt, Charles; Faisst, Andreas

2015-11-01

Calibrating the photometric redshifts of ≳10{sup 9} galaxies for upcoming weak lensing cosmology experiments is a major challenge for the astrophysics community. The path to obtaining the required spectroscopic redshifts for training and calibration is daunting, given the anticipated depths of the surveys and the difficulty in obtaining secure redshifts for some faint galaxy populations. Here we present an analysis of the problem based on the self-organizing map, a method of mapping the distribution of data in a high-dimensional space and projecting it onto a lower-dimensional representation. We apply this method to existing photometric data from the COSMOS survey selectedmore » to approximate the anticipated Euclid weak lensing sample, enabling us to robustly map the empirical distribution of galaxies in the multidimensional color space defined by the expected Euclid filters. Mapping this multicolor distribution lets us determine where—in galaxy color space—redshifts from current spectroscopic surveys exist and where they are systematically missing. Crucially, the method lets us determine whether a spectroscopic training sample is representative of the full photometric space occupied by the galaxies in a survey. We explore optimal sampling techniques and estimate the additional spectroscopy needed to map out the color–redshift relation, finding that sampling the galaxy distribution in color space in a systematic way can efficiently meet the calibration requirements. While the analysis presented here focuses on the Euclid survey, similar analysis can be applied to other surveys facing the same calibration challenge, such as DES, LSST, and WFIRST.« less

32 CFR Appendix E to Part 110 - Application of 4-Week Summer Field Training Formula (Sample)

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 1 2014-07-01 2014-07-01 false Application of 4-Week Summer Field Training Formula (Sample) E Appendix E to Part 110 National Defense Department of Defense OFFICE OF THE SECRETARY... Appendix E to Part 110—Application of 4-Week Summer Field Training Formula (Sample) Zone I Zone II Total...

32 CFR Appendix E to Part 110 - Application of 4-Week Summer Field Training Formula (Sample)

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 1 2013-07-01 2013-07-01 false Application of 4-Week Summer Field Training Formula (Sample) E Appendix E to Part 110 National Defense Department of Defense OFFICE OF THE SECRETARY... Appendix E to Part 110—Application of 4-Week Summer Field Training Formula (Sample) Zone I Zone II Total...

32 CFR Appendix E to Part 110 - Application of 4-Week Summer Field Training Formula (Sample)

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 1 2012-07-01 2012-07-01 false Application of 4-Week Summer Field Training Formula (Sample) E Appendix E to Part 110 National Defense Department of Defense OFFICE OF THE SECRETARY... Appendix E to Part 110—Application of 4-Week Summer Field Training Formula (Sample) Zone I Zone II Total...

32 CFR Appendix E to Part 110 - Application of 4-Week Summer Field Training Formula (Sample)

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 1 2011-07-01 2011-07-01 false Application of 4-Week Summer Field Training Formula (Sample) E Appendix E to Part 110 National Defense Department of Defense OFFICE OF THE SECRETARY... Appendix E to Part 110—Application of 4-Week Summer Field Training Formula (Sample) Zone I Zone II Total...

32 CFR Appendix E to Part 110 - Application of 4-Week Summer Field Training Formula (Sample)

Code of Federal Regulations, 2010 CFR

2010-07-01

... Formula (Sample) E Appendix E to Part 110 National Defense Department of Defense OFFICE OF THE SECRETARY... COMMUTATION INSTEAD OF UNIFORMS FOR MEMBERS OF THE SENIOR RESERVE OFFICERS' TRAINING CORPS Pt. 110, App. E Appendix E to Part 110—Application of 4-Week Summer Field Training Formula (Sample) Zone I Zone II Total...

How large a training set is needed to develop a classifier for microarray data?

PubMed

Dobbin, Kevin K; Zhao, Yingdong; Simon, Richard M

2008-01-01

A common goal of gene expression microarray studies is the development of a classifier that can be used to divide patients into groups with different prognoses, or with different expected responses to a therapy. These types of classifiers are developed on a training set, which is the set of samples used to train a classifier. The question of how many samples are needed in the training set to produce a good classifier from high-dimensional microarray data is challenging. We present a model-based approach to determining the sample size required to adequately train a classifier. It is shown that sample size can be determined from three quantities: standardized fold change, class prevalence, and number of genes or features on the arrays. Numerous examples and important experimental design issues are discussed. The method is adapted to address ex post facto determination of whether the size of a training set used to develop a classifier was adequate. An interactive web site for performing the sample size calculations is provided. We showed that sample size calculations for classifier development from high-dimensional microarray data are feasible, discussed numerous important considerations, and presented examples.

Determination of Minimum Training Sample Size for Microarray-Based Cancer Outcome Prediction–An Empirical Assessment

PubMed Central

Cheng, Ningtao; Wu, Leihong; Cheng, Yiyu

2013-01-01

The promise of microarray technology in providing prediction classifiers for cancer outcome estimation has been confirmed by a number of demonstrable successes. However, the reliability of prediction results relies heavily on the accuracy of statistical parameters involved in classifiers. It cannot be reliably estimated with only a small number of training samples. Therefore, it is of vital importance to determine the minimum number of training samples and to ensure the clinical value of microarrays in cancer outcome prediction. We evaluated the impact of training sample size on model performance extensively based on 3 large-scale cancer microarray datasets provided by the second phase of MicroArray Quality Control project (MAQC-II). An SSNR-based (scale of signal-to-noise ratio) protocol was proposed in this study for minimum training sample size determination. External validation results based on another 3 cancer datasets confirmed that the SSNR-based approach could not only determine the minimum number of training samples efficiently, but also provide a valuable strategy for estimating the underlying performance of classifiers in advance. Once translated into clinical routine applications, the SSNR-based protocol would provide great convenience in microarray-based cancer outcome prediction in improving classifier reliability. PMID:23861920

Utilizing feedback in adaptive SAR ATR systems

NASA Astrophysics Data System (ADS)

Horsfield, Owen; Blacknell, David

2009-05-01

Existing SAR ATR systems are usually trained off-line with samples of target imagery or CAD models, prior to conducting a mission. If the training data is not representative of mission conditions, then poor performance may result. In addition, it is difficult to acquire suitable training data for the many target types of interest. The Adaptive SAR ATR Problem Set (AdaptSAPS) program provides a MATLAB framework and image database for developing systems that adapt to mission conditions, meaning less reliance on accurate training data. A key function of an adaptive system is the ability to utilise truth feedback to improve performance, and it is this feature which AdaptSAPS is intended to exploit. This paper presents a new method for SAR ATR that does not use training data, based on supervised learning. This is achieved by using feature-based classification, and several new shadow features have been developed for this purpose. These features allow discrimination of vehicles from clutter, and classification of vehicles into two classes: targets, comprising military combat types, and non-targets, comprising bulldozers and trucks. The performance of the system is assessed using three baseline missions provided with AdaptSAPS, as well as three additional missions. All performance metrics indicate a distinct learning trend over the course of a mission, with most third and fourth quartile performance levels exceeding 85% correct classification. It has been demonstrated that these performance levels can be maintained even when truth feedback rates are reduced by up to 55% over the course of a mission.

Simulated Job Interview Skill Training for People with Psychiatric Disability: Feasibility and Tolerability of Virtual Reality Training

PubMed Central

Bell, Morris D.; Weinstein, Andrea

2011-01-01

The job interview is an important step toward successful employment and often a significant challenge for people with psychiatric disability. Vocational rehabilitation specialists can benefit from a systematic approach to training job interview skills. The investigators teamed up with a company that specializes in creating simulated job interview training to create software that provides a virtual reality experience with which learners can systematically improve their job interview skills, reduce their fears, and increase their confidence about going on job interviews. The development of this software is described and results are presented from a feasibility and tolerability trial with 10 participants with psychiatric disability referred from their vocational service programs. Results indicate that this representative sample had a strongly positive response to the prototype job interview simulation. They found it easy to use, enjoyed the experience, and thought it realistic and helpful. Almost all described the interview as anxiety provoking but that the anxiety lessened as they became more skilled. They saw the benefit of its special features such as ongoing feedback from a “coach in the corner” and from being able to review a transcript of the interview. They believed that they could learn the skills being taught through these methods. Participants were enthusiastic about wanting to use the final product when it becomes available. The advantages of virtual reality technology for training important skills for rehabilitation are discussed. PMID:21860052

Antecedents of ethical decision-making: intercollegiate sporting environments as clinical education and practice settings.

PubMed

Caswell, Shane V; Ambegaonkar, Jatin P; Caswell, Amanda M; Gould, Trenton E

2009-01-01

Unique among allied health care professions, athletic training is predominately practiced amid competitive intercollegiate sports. Competitive sporting environments have been suggested to adversely impact morality, ethical decision-making (EDM), and behavior. The purposes of this study were to (1) investigate the effect of institutional National Collegiate Athletic Association (NCAA) participation level on preferred ethical ideologies and EDM, (2) determine the relationship between professional status (athletic training student [ATS] or certified athletic trainer [ATC]) and ethical ideology preferences and EDM, and (3) examine whether preferred ethical ideology is related to differences in EDM. A nationally representative sample of 610 ATSs and ATCs from 30 athletic training education programs, stratified by NCAA division level, participated in the study. All participants completed a demographic survey, the Ethics Position Questionnaire, and the Dilemmas in Athletic Training Questionnaire. No significant relationships were noted between NCAA participation level and respondents' ethical ideology preferences. However, ATSs and ATCs demonstrated significant preferences for specific ethical ideologies, with students adopting the subjectivist ideology more than expected and the exceptionist ideology less than expected and ATCs adopting the exceptionist ideology more than expected and the situationist ideology less than expected. In contrast to some previous research, our results suggest that competitive sporting environments do not affect ATSs' and ATCs' ethical ideology and EDM abilities at the collegiate level. These findings serve as a baseline for future research examining the ethical ideologies and ethical decision-making levels of athletic training practitioners and other allied health professionals across clinical settings.

Effects of a Specifically Designed Physical Conditioning Program on the Load Carriage and Lifting Performance of Female Soldiers.

DTIC Science & Technology

1997-11-01

66 TRAINING AND TESTING RELATED INJURIES ................ 68 iv Pre-tests ................................................ 68 T raining...74 BASIC TRAINING VS. THE EXPERIMENTAL PROGRAM ......... 74 INDIVIDUAL DIFFERENCES IN RESPONSIVENESS TO TRAINING.. 74 INJURY RISK IN HIGH-LEVEL...USED FOR TRAINING ............ SAMPLE WORKOUTS .................................... vi Sample Monday and Thursday Weightlifting and Running W orkout

Associations between state regulations, training length, perceived quality and job satisfaction among certified nursing assistants: cross-sectional secondary data analysis.

PubMed

Han, Kihye; Trinkoff, Alison M; Storr, Carla L; Lerner, Nancy; Johantgen, Meg; Gartrell, Kyungsook

2014-08-01

In the U.S., there are federal requirements on how much training and annual continuing education a certified nursing assistant must complete in order to be certified. The requirements are designed to enable them to provide competent and quality care to nursing home residents. Many states also require additional training and continuing education hours as improved nursing home quality indicators have been found to be related to increased training. This study investigated the associations among state level regulations, initial training quality and focus, and job satisfaction in certified nursing assistants. Cross-sectional secondary data analysis. This study used the National Nursing Home Survey and National Nursing Assistant Survey as well as data on state regulations of certified nursing assistant training. 2897 certified nursing assistants in 580 nursing homes who were currently working at a nursing home facility, who represented 680,846 certified nursing assistants in US. State regulations were related to initial training and job satisfaction among certified nursing assistants using chi square tests and binomial logistic regression models. Analyses were conducted using SAS-callable SUDAAN to correct for complex sampling design effects in the National Nursing Home Survey and National Nursing Assistant Survey. Models were adjusted for personal and facility characteristics. Certified nursing assistants reporting high quality training were more likely to work in states requiring additional initial training hours (p=0.02) and were more satisfied with their jobs (OR=1.51, 95% CI=1.09-2.09) than those with low quality training. In addition, those with more training focused on work life skills were 91% more satisfied (OR=1.91, 95% CI=1.41-2.58) whereas no relationship was found between training focused on basic care skills and job satisfaction (OR=1.36, 95% CI=0.99-1.84). Certified nursing assistants with additional initial training were more likely to report that their training was of high quality, and this was related to job satisfaction. Job satisfaction was also associated with receiving more training that focused on work life skills. Federal training regulations should reconsider additional hours for certified nursing assistant initial training, and include work life skills as a focus. As job satisfaction has been linked to nursing home turnover, attention to training may improve satisfaction, ultimately reducing staff turnover. Copyright © 2014 Elsevier Ltd. All rights reserved.

Evaluation of pyramid training as a method to increase diagnostic sampling capacity during an emergency veterinary response to a swine disease outbreak.

PubMed

Canon, Abbey J; Lauterbach, Nicholas; Bates, Jessica; Skoland, Kristin; Thomas, Paul; Ellingson, Josh; Ruston, Chelsea; Breuer, Mary; Gerardy, Kimberlee; Hershberger, Nicole; Hayman, Kristen; Buckley, Alexis; Holtkamp, Derald; Karriker, Locke

2017-06-15

OBJECTIVE To develop and evaluate a pyramid training method for teaching techniques for collection of diagnostic samples from swine. DESIGN Experimental trial. SAMPLE 45 veterinary students. PROCEDURES Participants went through a preinstruction assessment to determine their familiarity with the equipment needed and techniques used to collect samples of blood, nasal secretions, feces, and oral fluid from pigs. Participants were then shown a series of videos illustrating the correct equipment and techniques for collecting samples and were provided hands-on pyramid-based instruction wherein a single swine veterinarian trained 2 or 3 participants on each of the techniques and each of those participants, in turn, trained additional participants. Additional assessments were performed after the instruction was completed. RESULTS Following the instruction phase, percentages of participants able to collect adequate samples of blood, nasal secretions, feces, and oral fluid increased, as did scores on a written quiz assessing participants' ability to identify the correct equipment, positioning, and procedures for collection of samples. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested that the pyramid training method may be a feasible way to rapidly increase diagnostic sampling capacity during an emergency veterinary response to a swine disease outbreak.

8. VIEW OF ESCAPE TRAINING TANK, LOOKING NORTHEAST FROM 50FOOT ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

8. VIEW OF ESCAPE TRAINING TANK, LOOKING NORTHEAST FROM 50-FOOT PASSAGEWAY, SHOWING PORTION OF SPIRAL STAIR AND REPRESENTATIVE FLOOD LIGHT BLISTER - U.S. Naval Submarine Base, New London Submarine Escape Training Tank, Albacore & Darter Roads, Groton, New London County, CT

Workplace Perspectives on Education and Training. Volume I.

ERIC Educational Resources Information Center

Doeringer, Peter B., Ed.

Selections from materials developed for a National Institute of Education two-day workshop to examine workplace perspectives on education and training policy are presented. Participants included employer and trade union representatives, education and training specialists, policy analysts, and government officials. Part I on national perspectives…

National Apprenticeship and Training Standards for Bricklaying. Revised.

ERIC Educational Resources Information Center

Manpower Administration (DOL), Washington, DC. Bureau of Apprenticeship and Training.

Developed as a guide for local joint apprenticeship and training committees in establishing local bricklaying apprenticeship programs, this booklet represents the sixth revision of the national apprenticeship and training standards for bricklaying apprenticeship. (The standards were prepared and approved by the National Joint Bricklaying…

Private Sector Providers of Basic Skills Training in the Workplace. A Study of the General Training and Basic Skills Responses of Randomly Selected Companies Which Provide Basic Skills Training to Their Employees.

ERIC Educational Resources Information Center

Mark, Jorie Lester

A questionnaire was distributed to 1,305 companies to study the basic skills training provided. Of 62 responses, 41 companies had basic skills training programs. Respondents represented these types of companies: communications and utilities, finance and insurance, manufacturing, wholesalers, retailers, health and hospitals, and mining, and had…

Body composition and Vo2max of exceptional weight-trained athletes.

PubMed

Fahey, T D; Akka, L; Rolph, R

1975-10-01

The maximal oxygen uptake and body composition of 30 exceptional athletes who have trained extensively with weights was measured. The sample included 3 world record holders, 8 other world class athletes, and 19 national class competitors. The sports represented were shot-putting, discus throwing, body building, power lifting, wrestling, and olympic lifting. Vo2max as determined on a bicycle ergometer by the open-circuit method was 4.6 +/- 0.7 1-min-1 (mean +/- SD) (48.8 +/- 7 ml-kg-1., 56.4 +/- 8.6 ml-(kg LBW)-1). The mean maximal heart rate was 185.3 +/- 11.6 beats-min-1. The subjects attained a work rate of 1,728.2 +/- 223 kpm-min-1 on a continuous progressive bicycle ergometer test and had mean maximal ventilations of 152.5 +/- 27.7 1-min-1 BTPS. Body composition was determined by densitometry. Body weight averaged 96.0 +/- 14.9 kg, with mean percent fat of 13.8 +/- 4.5. The results of this study indicate that exceptional weight-trained athletes are within the normal college-age population range in body fat and of somewhat higher physical working capacity.

Application of laboratory permeability data

USGS Publications Warehouse

Johnson, A.I.

1963-01-01

Some of the basic material contained in this report originally was prepared in 1952 as instructional handouts for ground-water short courses and for training of foreign participants. The material has been revised and expanded and is presented in the present form to make it more readily available to the field hydrologist. Illustrations now present published examples of the applications suggested in the 1952 material. For small areas, a field pumping test is sufficient to predict the characteristics of an aquifer. With a large area under study, the aquifer properties must be determined at many different locations and it is not usually economically feasible to make sufficient field tests to define the aquifer properties in detail for the whole aquifer. By supplementing a few field tests with laboratory permeability data and geologic interpretation, more point measurements representative of the hydrologic properties of the aquifer may be obtained. A sufficient number of samples seldom can be obtained to completely identify the permeability or transmissibility in detail for a project area. However, a few judiciously chosen samples of high quality, combined with good geologic interpretation, often will permit the extrapolation of permeability information over a large area with a fair degree of reliability. The importance of adequate geologic information, as well as the importance of collecting samples representative of at least all major textural units lying within the section or area of study, cannot be overemphasized.

Targeted Quantitative Screening of Chromosome 18 Encoded Proteome in Plasma Samples of Astronaut Candidates.

PubMed

Kopylov, Artur T; Ilgisonis, Ekaterina V; Moysa, Alexander A; Tikhonova, Olga V; Zavialova, Maria G; Novikova, Svetlana E; Lisitsa, Andrey V; Ponomarenko, Elena A; Moshkovskii, Sergei A; Markin, Andrey A; Grigoriev, Anatoly I; Zgoda, Victor G; Archakov, Alexander I

2016-11-04

This work was aimed at estimating the concentrations of proteins encoded by human chromosome 18 (Chr 18) in plasma samples of 54 healthy male volunteers (aged 20-47). These young persons have been certified by the medical evaluation board as healthy subjects ready for space flight training. Over 260 stable isotope-labeled peptide standards (SIS) were synthesized to perform the measurements of proteins encoded by Chr 18. Selected reaction monitoring (SRM) with SIS allowed an estimate of the levels of 84 of 276 proteins encoded by Chr 18. These proteins were quantified in whole and depleted plasma samples. Concentration of the proteins detected varied from 10 -6 M (transthyretin, P02766) to 10 -11 M (P4-ATPase, O43861). A minor part of the proteins (mostly representing intracellular proteins) was characterized by extremely high inter individual variations. The results provide a background for studies of a potential biomarker in plasma among proteins encoded by Chr 18. The SRM raw data are available in ProteomeXchange repository (PXD004374).

Kernel K-Means Sampling for Nyström Approximation.

PubMed

He, Li; Zhang, Hong

2018-05-01

A fundamental problem in Nyström-based kernel matrix approximation is the sampling method by which training set is built. In this paper, we suggest to use kernel -means sampling, which is shown in our works to minimize the upper bound of a matrix approximation error. We first propose a unified kernel matrix approximation framework, which is able to describe most existing Nyström approximations under many popular kernels, including Gaussian kernel and polynomial kernel. We then show that, the matrix approximation error upper bound, in terms of the Frobenius norm, is equal to the -means error of data points in kernel space plus a constant. Thus, the -means centers of data in kernel space, or the kernel -means centers, are the optimal representative points with respect to the Frobenius norm error upper bound. Experimental results, with both Gaussian kernel and polynomial kernel, on real-world data sets and image segmentation tasks show the superiority of the proposed method over the state-of-the-art methods.

Options for Restructuring the Federal Employment and Training System. Hearing before the Employment, Housing, and Aviation Subcommittee of the Committee on Government Operations, House of Representatives, One Hundred Third Congress, First Session.

ERIC Educational Resources Information Center

Congress of the U. S., Washington, DC. House Committee on Government Operations.

These Congressional hearings contain testimony regarding options for restructuring the federal employment and training system. Representatives of the following agencies and organizations provided testimony at the hearings: National Commission on Employment Policy; Health, Education and Human Services Division, Education and Employment Issues, U.S.…

The control of a manipulator by a computer model of the cerebellum.

NASA Technical Reports Server (NTRS)

Albus, J. S.

1973-01-01

Extension of previous work by Albus (1971, 1972) on the theory of cerebellar function to an application of a computer model of the cerebellum to manipulator control. Following a discussion of the cerebellar function and of a perceptron analogy of the cerebellum, particularly in regard to learning, an electromechanical model of the cerebellum is considered in the form of an IBM 1800 computer connected to a Rancho Los Amigos arm with seven degrees of freedom. It is shown that the computer memory makes it possible to train the arm on some representative sample of the universe of possible states and to achieve satisfactory performance.

Authentication of beef versus horse meat using 60 MHz 1H NMR spectroscopy.

PubMed

Jakes, W; Gerdova, A; Defernez, M; Watson, A D; McCallum, C; Limer, E; Colquhoun, I J; Williamson, D C; Kemsley, E K

2015-05-15

This work reports a candidate screening protocol to distinguish beef from horse meat based upon comparison of triglyceride signatures obtained by 60 MHz (1)H NMR spectroscopy. Using a simple chloroform-based extraction, we obtained classic low-field triglyceride spectra from typically a 10 min acquisition time. Peak integration was sufficient to differentiate samples of fresh beef (76 extractions) and horse (62 extractions) using Naïve Bayes classification. Principal component analysis gave a two-dimensional "authentic" beef region (p=0.001) against which further spectra could be compared. This model was challenged using a subset of 23 freeze-thawed training samples. The outcomes indicated that storing samples by freezing does not adversely affect the analysis. Of a further collection of extractions from previously unseen samples, 90/91 beef spectra were classified as authentic, and 16/16 horse spectra as non-authentic. We conclude that 60 MHz (1)H NMR represents a feasible high-throughput approach for screening raw meat. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

[Indicators and factors of influence on the long-term follow-up of psychogenic diseases--a comparison of extreme groups].

PubMed

Franz, M; Schellberg, D; Schepank, H

1995-02-01

The present investigation aimed at the identification of possible indicators of course, predictors, and etiologically relevant factors of psychogenic diseases. According to their complaints a sample of probands suffering from psychogenic impairment of medium degree (n = 240) was chosen out of a representative sample of an urban adult population (n = 528). This procedure should ensure a relatively high intraindividual variance of course of the criterion, since a sufficient variability of course seems improbable with chronic and severe psychogenic impaired or stabile healthy probands. Within 10 years the sample was investigated three times by psychodynamically trained physicians and psychologists. By means of cluster analysis the sample was subdivided in different types of course of psychogenic impairment. Both extreme types of course-the probands who showed the most positive and the most negative spontaneous longterm course-were investigated univariately and by means of a multivariate discriminant analysis with regard to potentially course determining variables. It became obvious that personality variables and conditions of early childhood considerably influenced the spontaneous longterm course of psychogenic impairment.

Face recognition via sparse representation of SIFT feature on hexagonal-sampling image

NASA Astrophysics Data System (ADS)

Zhang, Daming; Zhang, Xueyong; Li, Lu; Liu, Huayong

2018-04-01

This paper investigates a face recognition approach based on Scale Invariant Feature Transform (SIFT) feature and sparse representation. The approach takes advantage of SIFT which is local feature other than holistic feature in classical Sparse Representation based Classification (SRC) algorithm and possesses strong robustness to expression, pose and illumination variations. Since hexagonal image has more inherit merits than square image to make recognition process more efficient, we extract SIFT keypoint in hexagonal-sampling image. Instead of matching SIFT feature, firstly the sparse representation of each SIFT keypoint is given according the constructed dictionary; secondly these sparse vectors are quantized according dictionary; finally each face image is represented by a histogram and these so-called Bag-of-Words vectors are classified by SVM. Due to use of local feature, the proposed method achieves better result even when the number of training sample is small. In the experiments, the proposed method gave higher face recognition rather than other methods in ORL and Yale B face databases; also, the effectiveness of the hexagonal-sampling in the proposed method is verified.

Robust transcriptional tumor signatures applicable to both formalin-fixed paraffin-embedded and fresh-frozen samples

PubMed Central

Cheng, Jun; He, Jun; Liu, Huaping; Cai, Hao; Hong, Guini; Zhang, Jiahui; Li, Na; Ao, Lu; Guo, Zheng

2017-01-01

Formalin-fixed paraffin-embedded (FFPE) samples represent a valuable resource for clinical researches. However, FFPE samples are usually considered an unreliable source for gene expression analysis due to the partial RNA degradation. In this study, through comparing gene expression profiles between FFPE samples and paired fresh-frozen (FF) samples for three cancer types, we firstly showed that expression measurements of thousands of genes had at least two-fold change in FFPE samples compared with paired FF samples. Therefore, for a transcriptional signature based on risk scores summarized from the expression levels of the signature genes, the risk score thresholds trained from FFPE (or FF) samples could not be applied to FF (or FFPE) samples. On the other hand, we found that more than 90% of the relative expression orderings (REOs) of gene pairs in the FF samples were maintained in their paired FFPE samples and largely unaffected by the storage time. The result suggested that the REOs of gene pairs were highly robust against partial RNA degradation in FFPE samples. Finally, as a case study, we developed a REOs-based signature to distinguish liver cirrhosis from hepatocellular carcinoma (HCC) using FFPE samples. The signature was validated in four datasets of FFPE samples and eight datasets of FF samples. In conclusion, the valuable FFPE samples can be fully exploited to identify REOs-based diagnostic and prognostic signatures which could be robustly applicable to both FF samples and FFPE samples with degraded RNA. PMID:28036264

Soils Sampling and Testing Training Guide for Field and Laboratory Technicians on Roadway Construction

DOT National Transportation Integrated Search

1999-12-01

This manual has been developed as a training guide for field and laboratory technicians responsible for sampling and testing of soils used in roadway construction. Soils training and certification will increase the knowledge of laboratory, production...

Vocational Training and Agricultural Productivity: Evidence from Rice Production in Vietnam

ERIC Educational Resources Information Center

Ulimwengu, John; Badiane, Ousmane

2010-01-01

The paper examines the impact of farmers' educational attainment on agricultural productivity. More specifically, it evaluates how farmers with vocational training perform compared to those with traditional educational training. A stochastic production frontier and inefficiency effects model is estimated using nationally representative household…

75 FR 6164 - New Pilot Certification Requirements for Air Carrier Operations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-02-08

... flightcrew eligibility, training, and qualification requirements should be increased for commercial pilots.... House of Representatives passed bill H.R. 3371, the Airline Safety and Pilot Training and Improvement..., practical training/experience, and experience in a crew environment, are also important. A pilot's skills...

Simulation Techniques in Training College Administrators.

ERIC Educational Resources Information Center

Fincher, Cameron

Traditional methods of recruitment and selection in academic administration have not placed an emphasis on formal training or preparation but have relied heavily on informal notions of experiential learning. Simulation as a device for representing complex processes in a manageable form, gaming as an organizing technique for training and…

The Science Race: Training and Utilization of Scientists and Engineers, US and USSR.

ERIC Educational Resources Information Center

Ailes, Catherine P.; Rushing, Francis W.

This book represents a comparison of the systems of training and utilization of scientists/engineers in the United States and Soviet Union. Chapter 1 provides a general description of the economic structure and organization in which the training of scientists/engineers is conducted and in which such trained personnel are employed. In chapters 2-5,…

A Study of On-the-Job Training. Technical Paper No. 13.

ERIC Educational Resources Information Center

Scribner, Sylvia; Sachs, Patricia

A case study of on-the-job training in a factory stockroom took a close look at the working milieu, the way experienced people did their jobs within it, and the means used to induct (train) newcomers into work activities. Stockroom work and stockroom training were considered to represent two different activity systems; the interplay of these two…

Guidelines for postdoctoral training in rehabilitation psychology.

PubMed

Stiers, William; Hanson, Stephanie; Turner, Aaron P; Stucky, Kirk; Barisa, Mark; Brownsberger, Mary; Van Tubbergen, Marie; Ashman, Teresa; Kuemmel, Angela

2012-11-01

This article describes the methods and results of a national conference that was held to (1) develop consensus guidelines about the structure and process of rehabilitation psychology postdoctoral training programs and (2) create a Council of Rehabilitation Psychology Postdoctoral Training Programs to promote training programs' abilities to implement the guidelines and to formally recognize programs in compliance with the guidelines. Forty-six conference participants were chosen to include important stakeholders in rehabilitation psychology, representatives of rehabilitation psychology training and practice communities, representatives of psychology accreditation and certification bodies, and persons involved in medical education practice and research. Consensus guidelines were developed for rehabilitation psychology postdoctoral training program structure and process and for establishing the Council of Rehabilitation Psychology Postdoctoral Training Programs. The Conference developed aspirational guidelines for postdoctoral education and training programs in applied rehabilitation psychology and established a Council of Rehabilitation Psychology Postdoctoral Training Programs as a means of promoting their adoption by training programs. These efforts are designed to promote quality, consistency, and excellence in the education and training of rehabilitation psychology practitioners and to promote competence in their practice. It is hoped that these efforts will stimulate discussion, assist in the development of improved teaching and evaluation methods, lead to interesting research questions, and generally facilitate the continued systematic development of the profession of rehabilitation psychology. PsycINFO Database Record (c) 2012 APA, all rights reserved

Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data

PubMed Central

Barnes, Stephen; Benton, H. Paul; Casazza, Krista; Cooper, Sara J.; Cui, Xiangqin; Du, Xiuxia; Engler, Jeffrey; Kabarowski, Janusz H.; Li, Shuzhao; Pathmasiri, Wimal; Prasain, Jeevan K.; Renfrow, Matthew B.; Tiwari, Hemant K.

2016-01-01

The study of metabolism has had a long history. Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. The National Institutes of Health Common Fund Metabolomics Program was established in 2012 to stimulate interest in the approaches and technologies of metabolomics. To deliver one of the program’s goals, the University of Alabama at Birmingham has hosted an annual 4-day short course in metabolomics for faculty, postdoctoral fellows and graduate students from national and international institutions. This paper is the first part of a summary of the training materials presented in the course to be used as a resource for all those embarking on metabolomics research. PMID:27434804

Pattern sampling for etch model calibration

NASA Astrophysics Data System (ADS)

Weisbuch, François; Lutich, Andrey; Schatz, Jirka

2017-06-01

Successful patterning requires good control of the photolithography and etch processes. While compact litho models, mainly based on rigorous physics, can predict very well the contours printed in photoresist, pure empirical etch models are less accurate and more unstable. Compact etch models are based on geometrical kernels to compute the litho-etch biases that measure the distance between litho and etch contours. The definition of the kernels as well as the choice of calibration patterns is critical to get a robust etch model. This work proposes to define a set of independent and anisotropic etch kernels -"internal, external, curvature, Gaussian, z_profile" - designed to capture the finest details of the resist contours and represent precisely any etch bias. By evaluating the etch kernels on various structures it is possible to map their etch signatures in a multi-dimensional space and analyze them to find an optimal sampling of structures to train an etch model. The method was specifically applied to a contact layer containing many different geometries and was used to successfully select appropriate calibration structures. The proposed kernels evaluated on these structures were combined to train an etch model significantly better than the standard one. We also illustrate the usage of the specific kernel "z_profile" which adds a third dimension to the description of the resist profile.

Modification of cognitive biases related to posttraumatic stress: A systematic review and research agenda.

PubMed

Woud, Marcella L; Verwoerd, Johan; Krans, Julie

2017-06-01

Cognitive models of Posttraumatic Stress Disorder (PTSD) postulate that cognitive biases in attention, interpretation, and memory represent key factors involved in the onset and maintenance of PTSD. Developments in experimental research demonstrate that it may be possible to manipulate such biases by means of Cognitive Bias Modification (CBM). In the present paper, we summarize studies assessing cognitive biases in posttraumatic stress to serve as a theoretical and methodological background. However, our main aim was to provide an overview of the scientific literature on CBM in (analogue) posttraumatic stress. Results of our systematic literature review showed that most CBM studies targeted attentional and interpretation biases (attention: five studies; interpretation: three studies), and one study modified memory biases. Overall, results showed that CBM can indeed modify cognitive biases and affect (analog) trauma symptoms in a training congruent manner. Interpretation bias procedures seemed effective in analog samples, and memory bias training proved preliminary success in a clinical PTSD sample. Studies of attention bias modification provided more mixed results. This heterogeneous picture may be explained by differences in the type of population or variations in the CBM procedure. Therefore, we sketched a detailed research agenda targeting the challenges for CBM in posttraumatic stress. Copyright © 2017 Elsevier Ltd. All rights reserved.

[Perceptions about continuous training of Chilean health care teachers].

PubMed

Pérez V, Cristhian; Fasce H, Eduardo; Coloma N, Katherine; Vaccarezza G, Giulietta; Ortega B, Javiera

2013-06-01

Continuous training of teachers, in discipline and pedagogical topics, is a key step to improve the quality of educational processes. To report the perception of Chilean teachers of undergraduate health care programs, about continuous training activities. Twenty teachers working at different undergraduate health care programs in Chile were interviewed. Maximum variation and theoretical sampling methods were used to select the sample. Data was analyzed by open coding, according to the Grounded Theory guidelines. Nine categories emerged from data analysis: Access to continuous training, meaning of training in discipline, activities of continuous training in discipline, meaning of continuous training in pedagogy, kinds of continuous training in pedagogy, quality of continuous training in pedagogy, ideal of continuous training in pedagogy, outcomes of continuous training in pedagogy and needs for continuous training in pedagogy. Teachers of health care programs prefer to participate in contextualized training activities. Also, they emphasize their need of training in evaluation and teaching strategies.

Final Report of the Working Group Meeting C, "Standards in Vocational Training" (Berlin, Germany, February 15-16, 1996). [and] Minutes of the Working Group Meeting C, "Standards in Vocational Education and Training."

ERIC Educational Resources Information Center

German Federal Inst. for Vocational Training Affairs, Berlin (Germany).

Representatives from 13 Central and Eastern European countries, the European Centre for the Development of Vocational Training, and the Organization for Economic Cooperation and Development met for 2 days in Berlin to continue European Training Foundation (ETF) efforts to design a methodology for formulating standards in vocational training (VT)…

Rigorous Training of Dogs Leads to High Accuracy in Human Scent Matching-To-Sample Performance

PubMed Central

Marchal, Sophie; Bregeras, Olivier; Puaux, Didier; Gervais, Rémi; Ferry, Barbara

2016-01-01

Human scent identification is based on a matching-to-sample task in which trained dogs are required to compare a scent sample collected from an object found at a crime scene to that of a suspect. Based on dogs’ greater olfactory ability to detect and process odours, this method has been used in forensic investigations to identify the odour of a suspect at a crime scene. The excellent reliability and reproducibility of the method largely depend on rigor in dog training. The present study describes the various steps of training that lead to high sensitivity scores, with dogs matching samples with 90% efficiency when the complexity of the scents presented during the task in the sample is similar to that presented in the in lineups, and specificity reaching a ceiling, with no false alarms in human scent matching-to-sample tasks. This high level of accuracy ensures reliable results in judicial human scent identification tests. Also, our data should convince law enforcement authorities to use these results as official forensic evidence when dogs are trained appropriately. PMID:26863620

Multiscale 3D Shape Analysis using Spherical Wavelets

PubMed Central

Nain, Delphine; Haker, Steven; Bobick, Aaron; Tannenbaum, Allen

2013-01-01

Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of variation, even from a limited training set. However, when significant local variations exist, PCA typically cannot represent such variations from a small training set. To address this issue, we present a novel algorithm that learns shape variations from data at multiple scales and locations using spherical wavelets and spectral graph partitioning. Our results show that when the training set is small, our algorithm significantly improves the approximation of shapes in a testing set over PCA, which tends to oversmooth data. PMID:16685992

Multiscale 3D shape analysis using spherical wavelets.

PubMed

Nain, Delphine; Haker, Steven; Bobick, Aaron; Tannenbaum, Allen R

2005-01-01

Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of variation, even from a limited training set. However, when significant local variations exist, PCA typically cannot represent such variations from a small training set. To address this issue, we present a novel algorithm that learns shape variations from data at multiple scales and locations using spherical wavelets and spectral graph partitioning. Our results show that when the training set is small, our algorithm significantly improves the approximation of shapes in a testing set over PCA, which tends to oversmooth data.

Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

PubMed

Barnes, Stephen; Benton, H Paul; Casazza, Krista; Cooper, Sara J; Cui, Xiangqin; Du, Xiuxia; Engler, Jeffrey; Kabarowski, Janusz H; Li, Shuzhao; Pathmasiri, Wimal; Prasain, Jeevan K; Renfrow, Matthew B; Tiwari, Hemant K

2016-07-01

The study of metabolism has had a long history. Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. The National Institutes of Health Common Fund Metabolomics Program was established in 2012 to stimulate interest in the approaches and technologies of metabolomics. To deliver one of the program's goals, the University of Alabama at Birmingham has hosted an annual 4-day short course in metabolomics for faculty, postdoctoral fellows and graduate students from national and international institutions. This paper is the first part of a summary of the training materials presented in the course to be used as a resource for all those embarking on metabolomics research. The complete set of training materials including slide sets and videos can be viewed at http://www.uab.edu/proteomics/metabolomics/workshop/workshop_june_2015.php. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Teachers’ and Education Support Professionals’ Perspectives on Bullying and Prevention: Findings From a National Education Association Study

PubMed Central

Bradshaw, Catherine P.; Waasdorp, Tracy E.; O'Brennan, Lindsey M.; Gulemetova, Michaela

2014-01-01

Given growing concerns regarding the prevalence and seriousness of bullying, the National Education Association recently drew upon its membership to launch a national study of teachers’ and education support professionals’ perceptions of bullying, and need for additional training on bullying prevention efforts and school-wide policies. The data were collected from a representative sample of 5,064 National Education Association members (2,163 teachers and 2,901 education support professionals). Analyses indicated that compared to education support professionals, teachers were more likely to witness students being bullied, more likely to view bullying as a significant problem at their school, and were more likely to have students report bullying to them. Teachers were more likely to be involved in bullying policies at their school, yet both groups reported wanting more training related to cyberbullying and bullying related to students’ sexual orientation, gender issues, and racial issues. Implications for school psychologists and the development of school-wide bullying prevention efforts are discussed. PMID:25414539

Training echo state networks for rotation-invariant bone marrow cell classification.

PubMed

Kainz, Philipp; Burgsteiner, Harald; Asslaber, Martin; Ahammer, Helmut

2017-01-01

The main principle of diagnostic pathology is the reliable interpretation of individual cells in context of the tissue architecture. Especially a confident examination of bone marrow specimen is dependent on a valid classification of myeloid cells. In this work, we propose a novel rotation-invariant learning scheme for multi-class echo state networks (ESNs), which achieves very high performance in automated bone marrow cell classification. Based on representing static images as temporal sequence of rotations, we show how ESNs robustly recognize cells of arbitrary rotations by taking advantage of their short-term memory capacity. The performance of our approach is compared to a classification random forest that learns rotation-invariance in a conventional way by exhaustively training on multiple rotations of individual samples. The methods were evaluated on a human bone marrow image database consisting of granulopoietic and erythropoietic cells in different maturation stages. Our ESN approach to cell classification does not rely on segmentation of cells or manual feature extraction and can therefore directly be applied to image data.

Transitioning Communication Education to an Interactive Online Module Format.

PubMed

Williams, Kristine; Abd-Hamid, Nor Hashidah; Perkhounkova, Yelena

2017-07-01

The Changing Talk intervention improves nursing home staff communication by reducing elderspeak. To facilitate dissemination, interactive online modules were created, maintaining the original content. This article reports on the process of transitioning and the results of pilot testing the modules. Interactive online modules were developed, pilot tested, and the evaluated in comparison to outcomes from the classroom format training. Online participants (N = 9) demonstrated pre to posttest knowledge gain (scores improved from M = 82.4% to M = 91.2%). Rating of a staff-resident interaction showed improved recognition of elderspeak and person-centered communication after training. Online and original participants reported similar intentions to use learned skills and rated the program highly. Evidence-based interventions can be translated from traditional classroom to online format maintaining effects on increasing staff knowledge and intentions to use learned skills in practice. However, the modules should be tested in a larger and more representative sample. J Contin Educ Nurs. 2017;48(7):320-328. Copyright 2017, SLACK Incorporated.

14 CFR 61.65 - Instrument rating requirements.

Code of Federal Regulations, 2014 CFR

2014-01-01

... authorized instructor in an aircraft, flight simulator, or flight training device that represents an airplane... appropriate to the rating sought; or (ii) A flight simulator or a flight training device appropriate to the... authorized instructor in an aircraft, or in a flight simulator or flight training device, in accordance with...

Evolution Not Revolution: Views on Training Products Reform. Summary Report

ERIC Educational Resources Information Center

Beddie, Francesca; Hargreaves, Jo; Atkinson, Georgina

2017-01-01

At the request of the Council of Australian Governments (COAG) Industry Skills Council (ISC), and the Skills Senior Officials Network (SSON), a National Training Product Reform Group, comprising representatives from all of the jurisdictions, considered the longer-term reform of training products. This exercise, conducted during 2016, aimed to…

Application Processing, 2003-2004. EDExpress Training. Participant Guide.

ERIC Educational Resources Information Center

Office of Student Financial Assistance (ED), Washington, DC.

This participant guide contains training materials for processing applications for student financial aid under the EDExpress system. Representatives of institutions of higher education receive training in the use of EDExpress software that allows the school to manage student financial aid records. The guide contains these sessions: (1) welcome and…

STS-97 crewmembers participate in water survival training at NBL

NASA Image and Video Library

1999-07-09

S99-07013 (9 July 1999) --- Astronaut Marc Garneau, mission specialist representing the Canadian Space Agency, with the aid of a United Space Alliance suit technician, dons his shoes while suiting up for a STS-97 training session in the Neutral Buoyancy Laboratory at the Sonny Carter Training Center.

Evaluation of Manpower Development and Training Skills Centers. Final Report.

ERIC Educational Resources Information Center

Olympus Research Corp., Salt Lake City, UT.

Skills centers represent a fairly new and different component of national manpower policy. The 70 Manpower Development and Training Act (MDTA) Skills Centers are designed to provide comprehensive manpower services for the disadvantaged, including training, basic education, communication skills, counseling, placement, and follow-up. Based on visits…

Training: An Opportunity for People with Disabilities in School Foodservice Operations

ERIC Educational Resources Information Center

Paez, Paola; Arendt, Susan; Strohbehn, Catherine

2011-01-01

Purpose/Objectives: This study assessed current training methods and topics used at public school foodservice operations as well as school foodservice representatives' attitudes toward training employees with disabilities. Methods: A mixed method approach of data collection included two phases. Phase I used a more qualitative approach; interviews…

Computer-Based Training: Capitalizing on Lessons Learned

ERIC Educational Resources Information Center

Bedwell, Wendy L.; Salas, Eduardo

2010-01-01

Computer-based training (CBT) is a methodology for providing systematic, structured learning; a useful tool when properly designed. CBT has seen a resurgence given the serious games movement, which is at the forefront of integrating primarily entertainment computer-based games into education and training. This effort represents a multidisciplinary…

Training Sessions Provide Working Knowledge of National Animal Identification System

ERIC Educational Resources Information Center

Glaze, J. Benton, Jr.; Ahola, Jason K.

2010-01-01

One in-service and two train-the-trainer workshops were conducted by University of Idaho Extension faculty, Idaho State Department of Agriculture personnel, and allied industry representatives to increase Extension educators' knowledge and awareness of the National Animal Identification System (NAIS) and related topics. Training sessions included…

Non-Behavioral Approaches to Paraprofessional Training for Parents.

ERIC Educational Resources Information Center

Steward, John Lawrence

Nonbehavioral models to child therapy that attempt to train parents as paraprofessionals primarily follow Rogerian or family systems approaches. Filial Therapy (Guerney, 1964) represents the most purely Rogerian mode and trains parents exclusively in Rogerian techniques in the context of play therapy. Other Rogerian models have been developed with…

A Partnership Training Program in Breast Cancer Diagnosis: Concept Development of the Next Generation Diagnostic Breast Imaging Using Digital Image Library and Networking Techniques

DTIC Science & Technology

2004-10-01

This program represents a training partnership between Howard University (HU) (Department of Electrical Engineering, Department of Systems and...from Georgetown and Howard University will participate in training through seminars, specialized tutorials and workshops. Outside distinguished

National audit of critical care resources in South Africa - nursing profile.

PubMed

Scribante, Juan; Bhagwanjee, Sats

2007-12-01

(i) To determine the profile and number of nurses working in South African intensive care units (ICUs) and high care units (HCUs); (ii) to determine the number of beds in ICU and HCUs in South Africa; and (iii) to determine the ratio of nurses to ICU/HC beds. A descriptive, non-interventive, observational study design was used. An audit of all public and private sector ICU and HCUs in South Africa was undertaken. A 100% was sample obtained; 74.8% of the ICU nursing managers were ICU-trained nurses with an average of 12.8 years of ICU experience. Only 25.6% of nurses working in ICU were ICU trained. The majority were registered nurses (49.2%), while 21.4% were semi-professional nurses. Private sector nurses represented 50.3% of all nurses. Some 42.8% of the professional nurses had 0 - 5 years of experience and 28.7% had 5 - 10 years. The groups 10 - 15 and 15 - 20 years represented 16.1% and 6.6% respectively. Only 5.7% nurses had 20 and more years' experience. In the units that used agency staff the ratio of permanent to agency nursing staff for the month of June 2003 was 64.5% versus 35.5%. In total there are 4,168 ICU and HC beds in South Africa that are serviced by 4,584 professional nurses. The nurse:bed ratio is 1.1 nurses per ICU/HC bed. This study demonstrates that ICU nursing in South Africa faces the challenge of an acute shortage of trained and experienced nurses. Our nurses are tired, often not healthy, and are plagued by discontent and low morale.

Diversity Exiting the Academy: Influential Factors for the Career Choice of Well-Represented and Underrepresented Minority Scientists.

PubMed

Layton, Rebekah L; Brandt, Patrick D; Freeman, Ashalla M; Harrell, Jessica R; Hall, Joshua D; Sinche, Melanie

2016-01-01

A national sample of PhD-trained scientists completed training, accepted subsequent employment in academic and nonacademic positions, and were queried about their previous graduate training and current employment. Respondents indicated factors contributing to their employment decision (e.g., working conditions, salary, job security). The data indicate the relative importance of deciding factors influencing career choice, controlling for gender, initial interest in faculty careers, and number of postgraduate publications. Among both well-represented (WR; n = 3444) and underrepresented minority (URM; n = 225) respondents, faculty career choice was positively associated with desire for autonomy and partner opportunity and negatively associated with desire for leadership opportunity. Differences between groups in reasons endorsed included: variety, prestige, salary, family influence, and faculty advisor influence. Furthermore, endorsement of faculty advisor or other mentor influence and family or peer influence were surprisingly rare across groups, suggesting that formal and informal support networks could provide a missed opportunity to provide support for trainees who want to stay in faculty career paths. Reasons requiring alteration of misperceptions (e.g., limited leadership opportunity for faculty) must be distinguished from reasons requiring removal of actual barriers. Further investigation into factors that affect PhDs' career decisions can help elucidate why URM candidates are disproportionately exiting the academy. © 2016 R. L. Layton et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

QSAR modeling of human serum protein binding with several modeling techniques utilizing structure-information representation.

PubMed

Votano, Joseph R; Parham, Marc; Hall, L Mark; Hall, Lowell H; Kier, Lemont B; Oloff, Scott; Tropsha, Alexander

2006-11-30

Four modeling techniques, using topological descriptors to represent molecular structure, were employed to produce models of human serum protein binding (% bound) on a data set of 1008 experimental values, carefully screened from publicly available sources. To our knowledge, this data is the largest set on human serum protein binding reported for QSAR modeling. The data was partitioned into a training set of 808 compounds and an external validation test set of 200 compounds. Partitioning was accomplished by clustering the compounds in a structure descriptor space so that random sampling of 20% of the whole data set produced an external test set that is a good representative of the training set with respect to both structure and protein binding values. The four modeling techniques include multiple linear regression (MLR), artificial neural networks (ANN), k-nearest neighbors (kNN), and support vector machines (SVM). With the exception of the MLR model, the ANN, kNN, and SVM QSARs were ensemble models. Training set correlation coefficients and mean absolute error ranged from r2=0.90 and MAE=7.6 for ANN to r2=0.61 and MAE=16.2 for MLR. Prediction results from the validation set yielded correlation coefficients and mean absolute errors which ranged from r2=0.70 and MAE=14.1 for ANN to a low of r2=0.59 and MAE=18.3 for the SVM model. Structure descriptors that contribute significantly to the models are discussed and compared with those found in other published models. For the ANN model, structure descriptor trends with respect to their affects on predicted protein binding can assist the chemist in structure modification during the drug design process.

A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors

PubMed Central

Cheng, Juan; Chen, Xun; Liu, Aiping; Peng, Hu

2015-01-01

Sign language recognition (SLR) is an important communication tool between the deaf and the external world. It is highly necessary to develop a worldwide continuous and large-vocabulary-scale SLR system for practical usage. In this paper, we propose a novel phonology- and radical-coded Chinese SLR framework to demonstrate the feasibility of continuous SLR using accelerometer (ACC) and surface electromyography (sEMG) sensors. The continuous Chinese characters, consisting of coded sign gestures, are first segmented into active segments using EMG signals by means of moving average algorithm. Then, features of each component are extracted from both ACC and sEMG signals of active segments (i.e., palm orientation represented by the mean and variance of ACC signals, hand movement represented by the fixed-point ACC sequence, and hand shape represented by both the mean absolute value (MAV) and autoregressive model coefficients (ARs)). Afterwards, palm orientation is first classified, distinguishing “Palm Downward” sign gestures from “Palm Inward” ones. Only the “Palm Inward” gestures are sent for further hand movement and hand shape recognition by dynamic time warping (DTW) algorithm and hidden Markov models (HMM) respectively. Finally, component recognition results are integrated to identify one certain coded gesture. Experimental results demonstrate that the proposed SLR framework with a vocabulary scale of 223 characters can achieve an averaged recognition accuracy of 96.01% ± 0.83% for coded gesture recognition tasks and 92.73% ± 1.47% for character recognition tasks. Besides, it demonstrats that sEMG signals are rather consistent for a given hand shape independent of hand movements. Hence, the number of training samples will not be significantly increased when the vocabulary scale increases, since not only the number of the completely new proposed coded gestures is constant and limited, but also the transition movement which connects successive signs needs no training samples to model even though the same coded gesture performed in different characters. This work opens up a possible new way to realize a practical Chinese SLR system. PMID:26389907

A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors.

PubMed

Cheng, Juan; Chen, Xun; Liu, Aiping; Peng, Hu

2015-09-15

Sign language recognition (SLR) is an important communication tool between the deaf and the external world. It is highly necessary to develop a worldwide continuous and large-vocabulary-scale SLR system for practical usage. In this paper, we propose a novel phonology- and radical-coded Chinese SLR framework to demonstrate the feasibility of continuous SLR using accelerometer (ACC) and surface electromyography (sEMG) sensors. The continuous Chinese characters, consisting of coded sign gestures, are first segmented into active segments using EMG signals by means of moving average algorithm. Then, features of each component are extracted from both ACC and sEMG signals of active segments (i.e., palm orientation represented by the mean and variance of ACC signals, hand movement represented by the fixed-point ACC sequence, and hand shape represented by both the mean absolute value (MAV) and autoregressive model coefficients (ARs)). Afterwards, palm orientation is first classified, distinguishing "Palm Downward" sign gestures from "Palm Inward" ones. Only the "Palm Inward" gestures are sent for further hand movement and hand shape recognition by dynamic time warping (DTW) algorithm and hidden Markov models (HMM) respectively. Finally, component recognition results are integrated to identify one certain coded gesture. Experimental results demonstrate that the proposed SLR framework with a vocabulary scale of 223 characters can achieve an averaged recognition accuracy of 96.01% ± 0.83% for coded gesture recognition tasks and 92.73% ± 1.47% for character recognition tasks. Besides, it demonstrats that sEMG signals are rather consistent for a given hand shape independent of hand movements. Hence, the number of training samples will not be significantly increased when the vocabulary scale increases, since not only the number of the completely new proposed coded gestures is constant and limited, but also the transition movement which connects successive signs needs no training samples to model even though the same coded gesture performed in different characters. This work opens up a possible new way to realize a practical Chinese SLR system.

Predicting the required number of training samples. [for remotely sensed image data based on covariance matrix estimate quality criterion of normal distribution

NASA Technical Reports Server (NTRS)

Kalayeh, H. M.; Landgrebe, D. A.

1983-01-01

A criterion which measures the quality of the estimate of the covariance matrix of a multivariate normal distribution is developed. Based on this criterion, the necessary number of training samples is predicted. Experimental results which are used as a guide for determining the number of training samples are included. Previously announced in STAR as N82-28109

Mapping stand-age distribution of Russian forests from satellite data

NASA Astrophysics Data System (ADS)

Chen, D.; Loboda, T. V.; Hall, A.; Channan, S.; Weber, C. Y.

2013-12-01

Russian boreal forest is a critical component of the global boreal biome as approximately two thirds of the boreal forest is located in Russia. Numerous studies have shown that wildfire and logging have led to extensive modifications of forest cover in the region since 2000. Forest disturbance and subsequent regrowth influences carbon and energy budgets and, in turn, affect climate. Several global and regional satellite-based data products have been developed from coarse (>100m) and moderate (10-100m) resolution imagery to monitor forest cover change over the past decade, record of forest cover change pre-dating year 2000 is very fragmented. Although by using stacks of Landsat images, some information regarding the past disturbances can be obtained, the quantity and locations of such stacks with sufficient number of images are extremely limited, especially in Eastern Siberia. This paper describes a modified method which is built upon previous work to hindcast the disturbance history and map stand-age distribution in the Russian boreal forest. Utilizing data from both Landsat and the Moderate Resolution Imaging Spectroradiometer (MODIS), a wall-to-wall map indicating the estimated age of forest in the Russian boreal forest is created. Our previous work has shown that disturbances can be mapped successfully up to 30 years in the past as the spectral signature of regrowing forests is statistically significantly different from that of mature forests. The presented algorithm ingests 55 multi-temporal stacks of Landsat imagery available over Russian forest before 2001 and processes through a standardized and semi-automated approach to extract training and validation data samples. Landsat data, dating back to 1984, are used to generate maps of forest disturbance using temporal shifts in Disturbance Index through the multi-temporal stack of imagery in selected locations. These maps are then used as reference data to train a decision tree classifier on 50 MODIS-based indices. The resultant map provides an estimate of forest age based on the regrowth curves observed from Landsat imagery. The accuracy of the resultant map is assessed against three datasets: 1) subset of the disturbance maps developed within the algorithm, 2) independent disturbance maps created by the Northern Eurasia Land Dynamics Analysis (NELDA) project, and 3) field-based stand-age distribution from forestry inventory units. The current version of the product presents a considerable improvement on the previous version which used Landsat data samples at a set of randomly selected locations, resulting a strong bias of the training samples towards the Landsat-rich regions (e.g. European Russia) whereas regions such as Siberia were under-sampled. Aiming at improving accuracy, the current method significantly increases the number of training Landsat samples compared to the previous work. Aside from the previously used data, the current method uses all available Landsat data for the under-sampled regions in order to increase the representativeness of the total samples. The finial accuracy assessment is still ongoing, however, the initial results suggested an overall accuracy expressed in Kappa > 0.8. We plan to release both the training data and the final disturbance map of the Russian boreal forest to the public after the validation is completed.

An Analysis of Contracting Officer Technical Representative Training Requirements.

DTIC Science & Technology

1982-06-01

AI and contract law . On the basis of the perceived need to eliminate superflu- ous material from the training of CA contract representatives and...Cost and pricing principles 3. Basic contract law 4. Types of contracts S. Definition of important terms 6. Understanding the terms and conditions--how...digesting and/or deletions to coincide with the learning objectives developed in Chapter III include: 1. Federal Acquisition Policy 2. Contract Law 3

Tactical expertise assessment in youth football using representative tasks.

PubMed

Serra-Olivares, Jaime; Clemente, Filipe Manuel; González-Víllora, Sixto

2016-01-01

Specific football drills improve the development of technical/tactical and physical variables in players. Based on this principle, in recent years it has been possible to observe in daily training a growing volume of small-sided and conditioned games. These games are smaller and modified forms of formal games that augment players' perception of specific tactics. Despite this approach, the assessment of players' knowledge and tactical execution has not been well documented, due mainly to the difficulty in measuring tactical behavior. For that reason, this study aims to provide a narrative review about the tactical assessment of football training by using representative tasks to measure the tactical expertise of youth football players during small-sided and conditioned games. This study gives an overview of the ecological approach to training and the principles used for representative task design, providing relevant contribution and direction for future research into the assessment of tactical expertise in youth football.

Adaptive Conditioning of Multiple-Point Geostatistical Facies Simulation to Flow Data with Facies Probability Maps

NASA Astrophysics Data System (ADS)

Khodabakhshi, M.; Jafarpour, B.

2013-12-01

Characterization of complex geologic patterns that create preferential flow paths in certain reservoir systems requires higher-order geostatistical modeling techniques. Multipoint statistics (MPS) provides a flexible grid-based approach for simulating such complex geologic patterns from a conceptual prior model known as a training image (TI). In this approach, a stationary TI that encodes the higher-order spatial statistics of the expected geologic patterns is used to represent the shape and connectivity of the underlying lithofacies. While MPS is quite powerful for describing complex geologic facies connectivity, the nonlinear and complex relation between the flow data and facies distribution makes flow data conditioning quite challenging. We propose an adaptive technique for conditioning facies simulation from a prior TI to nonlinear flow data. Non-adaptive strategies for conditioning facies simulation to flow data can involves many forward flow model solutions that can be computationally very demanding. To improve the conditioning efficiency, we develop an adaptive sampling approach through a data feedback mechanism based on the sampling history. In this approach, after a short period of sampling burn-in time where unconditional samples are generated and passed through an acceptance/rejection test, an ensemble of accepted samples is identified and used to generate a facies probability map. This facies probability map contains the common features of the accepted samples and provides conditioning information about facies occurrence in each grid block, which is used to guide the conditional facies simulation process. As the sampling progresses, the initial probability map is updated according to the collective information about the facies distribution in the chain of accepted samples to increase the acceptance rate and efficiency of the conditioning. This conditioning process can be viewed as an optimization approach where each new sample is proposed based on the sampling history to improve the data mismatch objective function. We extend the application of this adaptive conditioning approach to the case where multiple training images are proposed to describe the geologic scenario in a given formation. We discuss the advantages and limitations of the proposed adaptive conditioning scheme and use numerical experiments from fluvial channel formations to demonstrate its applicability and performance compared to non-adaptive conditioning techniques.

Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.

PubMed

Chew, Robert F; Amer, Safaa; Jones, Kasey; Unangst, Jennifer; Cajka, James; Allpress, Justine; Bruhn, Mark

2018-05-09

Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. Geosampling is a probability-based, gridded population sampling method that addresses some of these issues by using geographic information system (GIS) tools to create logistically manageable area units for sampling. GIS grid cells are overlaid to partition a country's existing administrative boundaries into area units that vary in size from 50 m × 50 m to 150 m × 150 m. To avoid sending interviewers to unoccupied areas, researchers manually classify grid cells as "residential" or "nonresidential" through visual inspection of aerial images. "Nonresidential" units are then excluded from sampling and data collection. This process of manually classifying sampling units has drawbacks since it is labor intensive, prone to human error, and creates the need for simplifying assumptions during calculation of design-based sampling weights. In this paper, we discuss the development of a deep learning classification model to predict whether aerial images are residential or nonresidential, thus reducing manual labor and eliminating the need for simplifying assumptions. On our test sets, the model performs comparable to a human-level baseline in both Nigeria (94.5% accuracy) and Guatemala (96.4% accuracy), and outperforms baseline machine learning models trained on crowdsourced or remote-sensed geospatial features. Additionally, our findings suggest that this approach can work well in new areas with relatively modest amounts of training data. Gridded population sampling methods like geosampling are becoming increasingly popular in countries with outdated or inaccurate census data because of their timeliness, flexibility, and cost. Using deep learning models directly on satellite images, we provide a novel method for sample frame construction that identifies residential gridded aerial units. In cases where manual classification of satellite images is used to (1) correct for errors in gridded population data sets or (2) classify grids where population estimates are unavailable, this methodology can help reduce annotation burden with comparable quality to human analysts.

Ground Training Devices in Job Sample Approach to UPT [Undergraduate Pilot Training] Selection and Screening. Final Report, September 1972-August 1974.

ERIC Educational Resources Information Center

LeMaster, W. Dean; Gray, Thomas H.

The purpose of this study was to develop a screening procedure for undergraduate pilot training (UPT). This procedure was based upon the use of ground-based instrument trainers in which UPT candidates, naive to flying, were evaluated in their performance of job sample tasks; i.e., basic instrument flying. Training and testing sessions were…

Analysis of munitions constituents in groundwater using a field-portable GC-MS.

PubMed

Bednar, A J; Russell, A L; Hayes, C A; Jones, W T; Tackett, P; Splichal, D E; Georgian, T; Parker, L V; Kirgan, R A; MacMillan, D K

2012-05-01

The use of munitions constituents (MCs) at military installations can produce soil and groundwater contamination that requires periodic monitoring even after training or manufacturing activities have ceased. Traditional groundwater monitoring methods require large volumes of aqueous samples (e.g., 2-4 L) to be shipped under chain of custody, to fixed laboratories for analysis. The samples must also be packed on ice and shielded from light to minimize degradation that may occur during transport and storage. The laboratory's turn-around time for sample analysis and reporting can be as long as 45 d. This process hinders the reporting of data to customers in a timely manner; yields data that are not necessarily representative of current site conditions owing to the lag time between sample collection and reporting; and incurs significant shipping costs for samples. The current work compares a field portable Gas Chromatograph-Mass Spectrometer (GC-MS) for analysis of MCs on-site with traditional laboratory-based analysis using High Performance Liquid Chromatography with UV absorption detection. The field method provides near real-time (within ~1 h of sampling) concentrations of MCs in groundwater samples. Mass spectrometry provides reliable confirmation of MCs and a means to identify unknown compounds that are potential false positives for methods with UV and other non-selective detectors. Published by Elsevier Ltd.

“We can’t get along without each other”: Qualitative interviews with physicians about device industry representatives, conflict of interest and patient safety

PubMed Central

Lehoux, Pascale; Ducey, Ariel; Easty, Anthony; Ross, Sue; Bell, Chaim; Trbovich, Patricia

2017-01-01

Objectives Physician relationships with device industry representatives have not been previously assessed. This study explored interactions with device industry representatives among physicians who use implantable cardiovascular and orthopedic devices to identify whether conflict of interest (COI) is a concern and how it is managed. Design A descriptive qualitative approach was used. Physicians who implant orthopedic and cardiovascular devices were identified in publicly available directories and web sites, and interviewed about their relationships with device industry representatives. Sampling was concurrent with data collection and analysis. Data were analyzed and discussed using constant comparative technique by all members of the research team. Results Twenty-two physicians (10 cardiovascular, 12 orthopedic) were interviewed. Ten distinct representative roles were identified: purchasing, training, trouble-shooting, supplying devices, assisting with device assembly and insertion, supporting operating room staff, mitigating liability, conveying information about recalls, and providing direct and indirect financial support. Participants recognized the potential for COI but representatives were present for the majority of implantations. Participants revealed a tension between physicians and representatives that was characterized as “symbiotic”, but required physicians to be vigilant about COI and patient safety, particularly because representatives varied regarding disclosure of device defects. They described a concurrent tension between hospitals, whose policies and business practices were focused on cost-control, and physicians who were required to comply with those policies and use particular devices despite concerns about their safety and effectiveness. Conclusions Given the potential for COI and threats to patient safety, further research is needed to establish the clinical implications of the role of, and relationship with device industry representatives; and whether and how hospitals do and should govern interaction with representatives, or support their staff in this regard. PMID:28358886

"We can't get along without each other": Qualitative interviews with physicians about device industry representatives, conflict of interest and patient safety.

PubMed

Gagliardi, Anna R; Lehoux, Pascale; Ducey, Ariel; Easty, Anthony; Ross, Sue; Bell, Chaim; Trbovich, Patricia; Urbach, David R

2017-01-01

Physician relationships with device industry representatives have not been previously assessed. This study explored interactions with device industry representatives among physicians who use implantable cardiovascular and orthopedic devices to identify whether conflict of interest (COI) is a concern and how it is managed. A descriptive qualitative approach was used. Physicians who implant orthopedic and cardiovascular devices were identified in publicly available directories and web sites, and interviewed about their relationships with device industry representatives. Sampling was concurrent with data collection and analysis. Data were analyzed and discussed using constant comparative technique by all members of the research team. Twenty-two physicians (10 cardiovascular, 12 orthopedic) were interviewed. Ten distinct representative roles were identified: purchasing, training, trouble-shooting, supplying devices, assisting with device assembly and insertion, supporting operating room staff, mitigating liability, conveying information about recalls, and providing direct and indirect financial support. Participants recognized the potential for COI but representatives were present for the majority of implantations. Participants revealed a tension between physicians and representatives that was characterized as "symbiotic", but required physicians to be vigilant about COI and patient safety, particularly because representatives varied regarding disclosure of device defects. They described a concurrent tension between hospitals, whose policies and business practices were focused on cost-control, and physicians who were required to comply with those policies and use particular devices despite concerns about their safety and effectiveness. Given the potential for COI and threats to patient safety, further research is needed to establish the clinical implications of the role of, and relationship with device industry representatives; and whether and how hospitals do and should govern interaction with representatives, or support their staff in this regard.

Blind image deblurring based on trained dictionary and curvelet using sparse representation

NASA Astrophysics Data System (ADS)

Feng, Liang; Huang, Qian; Xu, Tingfa; Li, Shao

2015-04-01

Motion blur is one of the most significant and common artifacts causing poor image quality in digital photography, in which many factors resulted. In imaging process, if the objects are moving quickly in the scene or the camera moves in the exposure interval, the image of the scene would blur along the direction of relative motion between the camera and the scene, e.g. camera shake, atmospheric turbulence. Recently, sparse representation model has been widely used in signal and image processing, which is an effective method to describe the natural images. In this article, a new deblurring approach based on sparse representation is proposed. An overcomplete dictionary learned from the trained image samples via the KSVD algorithm is designed to represent the latent image. The motion-blur kernel can be treated as a piece-wise smooth function in image domain, whose support is approximately a thin smooth curve, so we employed curvelet to represent the blur kernel. Both of overcomplete dictionary and curvelet system have high sparsity, which improves the robustness to the noise and more satisfies the observer's visual demand. With the two priors, we constructed restoration model of blurred images and succeeded to solve the optimization problem with the help of alternating minimization technique. The experiment results prove the method can preserve the texture of original images and suppress the ring artifacts effectively.

Representativeness of direct observations selected using a work-sampling equation.

PubMed

Sharp, Rebecca A; Mudford, Oliver C; Elliffe, Douglas

2015-01-01

Deciding on appropriate sampling to obtain representative samples of behavior is important but not straightforward, because the relative duration of the target behavior may affect its observation in a given sampling interval. Work-sampling methods, which offer a way to adjust the frequency of sampling according to a priori or ongoing estimates of the behavior to achieve a preselected level of representativeness, may provide a solution. Full-week observations of 7 behaviors were conducted for 3 students with autism spectrum disorder and intellectual disabilities. Work-sampling methods were used to select momentary time samples from the full time-of-interest, which produced representative samples. However, work sampling required impractically high numbers of time samples to obtain representative samples. More practical momentary time samples produced less representative samples, particularly for low-duration behaviors. The utility and limits of work-sampling methods for applied behavior analysis are discussed. © Society for the Experimental Analysis of Behavior.

Physical and cognitive effects of virtual reality integrated training.

PubMed

Stone, Richard T; Watts, Kristopher P; Zhong, Peihan; Wei, Chen-Shuang

2011-10-01

The objective of this study was to evaluate the cognitive and physical impact of virtual reality (VR) integrated training versus traditional training methods in the domain of weld training. Weld training is very important in various industries and represents a complex skill set appropriate for advanced training intervention. As such, there has been a long search for the most successful and most cost-effective method for training new welders. Participants in this study were randomly assigned to one of two separate training courses taught by sanctioned American Welding Society certified welding instructors; the duration of each course was 2 weeks. After completing the training for a specific weld type, participants were given the opportunity to test for the corresponding certification. Participants were evaluated in terms of their cognitive and physical parameters, total training time exposure, and welding certification awards earned. Each of the four weld types taught in this study represented distinct levels of difficulty and required the development of specialized knowledge and skills. This study demonstrated that participants in the VR integrated training group (VR50) performed as well as, and in some cases, significantly outperformed, the traditional welding (TW) training group.The VR50 group was found to have a 41.6% increase in overall certifications earned compared with the TW group. VR technology is a valuable tool for the production of skilled welders in a shorter time and often with more highly developed skills than their traditionally trained counterparts. These findings strongly support the use ofVR integrated training in the welding industry.

The Job Training Partnership Act. Abuse of On-the-Job Training and Other Contracting Is an Ongoing Problem. Testimony before the Subcommittee on Employment and Housing, Committee on Government Operations, House of Representatives.

ERIC Educational Resources Information Center

Crawford, Clarence C.

This document contains a summary of the statement of Clarence C. Crawford, Associate Director, Education and Employment Issues, Human Resources Division of the U.S. General Accounting Office. The Job Training Partnership Act (JTPA) provides on-the-job training (OJT). Under OJT arrangements, employers provide training in a particular occupation for…

Methods for Integrating Environmental Awareness Training into Army Programs of Instruction

DTIC Science & Technology

1993-06-01

generations. iv NTIS CRA&I ) F -IC TAB U.a’mot’::ed El By .. . ... ....... By .......................... ...... . .. DiO t, ib., tion I CONTENTS...Training Support Package ................... E-1-E-19 Appendix F . Sample of Officer Basic Course Instructor’s Lesson Plan with Embedded Information... F -1- F -7 Appendix G. Samples of Situational Training Exercises ........... G-1-G 9 Appendix H. Samples of Pre-Command Course Guest Speaker

Leadership and management training of pediatric intensivists: how do we gain our skills?

PubMed

Stockwell, David C; Pollack, Murray M; Turenne, Wendy M; Slonim, Anthony D

2005-11-01

Intensivists manage a diverse team of health care professionals. For decades, business literature has recognized the value of leadership and management skills, yet this is relatively unexplored in critical care. Investigate the status of intensivists' preparation for the clinical leadership and management roles that they will assume after medical training. Authoritative business leadership literature was reviewed to identify attributes of successful leadership and management relevant to critical care. A survey was designed to assess the process by which intensivists learn these attributes and to assess their perceived level of preparedness (20 items). Each survey item received a preparedness score structured as a Likert scale (1=not prepared, 5=very prepared), representing the averaged response to each item. In addition, an inadequate preparedness percentage was created representing the percentage of respondents answering "not at all prepared" and "hardly prepared" on the Likert-scaled items. Pediatric Critical Care Medicine Board Review Course, Washington, DC, 2004. Physician course participants (n=259). Survey administration. The response rate was 61% (n = 159). The majority of respondents (69%) had completed fellowship training (median, 1 yr posttraining). Modeling the behavior of other physicians was the dominant technique for leadership and management skill acquisition (86%). The respondents were taught these skills by a variety of sources (attendings, 92%; other fellows, 42%; nurses, 37%; teachers, 20%; residents, 14%). Most (82%) thought that leadership and management training was important or very important, yet only 47% had received any formal training (40% fellowship, 36% residency, 21% medical school, 16% masters, 30% other). Overall, respondents felt only "somewhat prepared" for the 20 leadership and management items surveyed (mean+/- sd of preparedness score, 2.8+/- 0.2). Respondents were least prepared to manage conflict within a team, manage conflict with other groups, and manage stress effectively (preparedness scores of 2.5, 2.4, and 2.6 and inadequate preparedness percentages of 19.5%, 15.7%, and 18.9%, respectively). Respondents were most prepared to "set high standards" (preparedness score=3.3). Of the respondents feeling at least somewhat prepared, only 33% credited medical training as preparing them. Although leadership and management training was perceived as important to this sample of pediatric generally young intensivists, most feel inadequately prepared for critical aspects of these responsibilities, most notably, stress and conflict management. These findings provide an opportunity for specific curriculum development in leadership and management for those believing these skills should be further refined.

Learning toward practical head pose estimation

NASA Astrophysics Data System (ADS)

Sang, Gaoli; He, Feixiang; Zhu, Rong; Xuan, Shibin

2017-08-01

Head pose is useful information for many face-related tasks, such as face recognition, behavior analysis, human-computer interfaces, etc. Existing head pose estimation methods usually assume that the face images have been well aligned or that sufficient and precise training data are available. In practical applications, however, these assumptions are very likely to be invalid. This paper first investigates the impact of the failure of these assumptions, i.e., misalignment of face images, uncertainty and undersampling of training data, on head pose estimation accuracy of state-of-the-art methods. A learning-based approach is then designed to enhance the robustness of head pose estimation to these factors. To cope with misalignment, instead of using hand-crafted features, it seeks suitable features by learning from a set of training data with a deep convolutional neural network (DCNN), such that the training data can be best classified into the correct head pose categories. To handle uncertainty and undersampling, it employs multivariate labeling distributions (MLDs) with dense sampling intervals to represent the head pose attributes of face images. The correlation between the features and the dense MLD representations of face images is approximated by a maximum entropy model, whose parameters are optimized on the given training data. To estimate the head pose of a face image, its MLD representation is first computed according to the model based on the features extracted from the image by the trained DCNN, and its head pose is then assumed to be the one corresponding to the peak in its MLD. Evaluation experiments on the Pointing'04, FacePix, Multi-PIE, and CASIA-PEAL databases prove the effectiveness and efficiency of the proposed method.

Design training activity for teachers and students on environmental science topic in the frame of ENVRIPLUS project

NASA Astrophysics Data System (ADS)

D'Addezio, G.; Beranzoli, L.; Antonella, M.

2016-12-01

We elaborated actions to improve the content of the ENVRIPLUS e-Training Platform for multimedia education of secondary school level teachers and students. The purpose is to favor teacher training and consequently students training on selected scientific themes faced within the ENVRIPLUS Research Infrastructures. In particular we address major thematic research areas and challenges on Biodiversity and Ecosystem Services, Greenhouse effect and Earth Warming, Ocean acidifications and Environmental sustainability. First we identified "Best practices" that could positively impacts on students by providing motivation on promoting scientific research and increase the awareness of the Earth System complexity and Environmental challenges for its preservation and sustainability,). Best practice teaching strategies represent an inherent part of a curriculum that exemplifies the connection and relevance identified in education research. To realize the training platform we start detailed study and analysis of teaching and multimedia information materials already available. We plan the realization of a digital repository for access to teachers and students with opportunities to develop original content, with standardization of the design methods of the scientific and technical content, classification / cataloging of information in digital form and definition of a logical model for the provision of thematic content in a single digital environment. To better design the actions and to catch teacher needs, we prepare a questionnaire that will be administered to a large sample of international secondary school level teachers. The first part focused on objective information about the formal, quantitative and qualitative position of science class in schools and the content and methods of teaching in different countries. The second part investigate subjective teacher experiences and their views on what can improve training offer for environmental science lessons and courses.

Identification and classification of transient pulses observed in magnetometer array data by time-domain principal component analysis filtering

NASA Astrophysics Data System (ADS)

Kappler, Karl N.; Schneider, Daniel D.; MacLean, Laura S.; Bleier, Thomas E.

2017-08-01

A method for identification of pulsations in time series of magnetic field data which are simultaneously present in multiple channels of data at one or more sensor locations is described. Candidate pulsations of interest are first identified in geomagnetic time series by inspection. Time series of these "training events" are represented in matrix form and transpose-multiplied to generate time-domain covariance matrices. The ranked eigenvectors of this matrix are stored as a feature of the pulsation. In the second stage of the algorithm, a sliding window (approximately the width of the training event) is moved across the vector-valued time-series comprising the channels on which the training event was observed. At each window position, the data covariance matrix and associated eigenvectors are calculated. We compare the orientation of the dominant eigenvectors of the training data to those from the windowed data and flag windows where the dominant eigenvectors directions are similar. This was successful in automatically identifying pulses which share polarization and appear to be from the same source process. We apply the method to a case study of continuously sampled (50 Hz) data from six observatories, each equipped with three-component induction coil magnetometers. We examine a 90-day interval of data associated with a cluster of four observatories located within 50 km of Napa, California, together with two remote reference stations-one 100 km to the north of the cluster and the other 350 km south. When the training data contains signals present in the remote reference observatories, we are reliably able to identify and extract global geomagnetic signals such as solar-generated noise. When training data contains pulsations only observed in the cluster of local observatories, we identify several types of non-plane wave signals having similar polarization.

Exposure to and Attitudes Regarding Transgender Education Among Urology Residents.

PubMed

Dy, Geolani W; Osbun, Nathan C; Morrison, Shane D; Grant, David W; Merguerian, Paul A

2016-10-01

Transgender individuals are underserved within the health care system but might increasingly seek urologic care as insurers expand coverage for medical and surgical gender transition. To evaluate urology residents' exposure to transgender patient care and their perceived importance of transgender surgical education. Urology residents from a representative sample of U.S. training programs were asked to complete a cross-sectional survey from January through March 2016. Respondents were queried regarding demographics, transgender curricular exposure (didactic vs clinical), and perceived importance of training opportunities in transgender patient care. In total, 289 urology residents completed the survey (72% response rate). Fifty-four percent of residents reported exposure to transgender patient care, with more residents from Western (74%) and North Central (72%) sections reporting exposure (P ≤ .01). Exposure occurred more frequently through direct patient interaction rather than through didactic education (psychiatric, 23% vs 7%, P < .001; medical, 17% vs 6%, P < .001; surgical, 33% vs 11%, P < .001). Female residents placed greater importance on gender-confirming surgical training than did their male colleagues (91% vs 70%, P < .001). Compared with Western section residents (88%), those from South Central (60%, P = .002), Southeastern (63%, P = .002), and Mid-Atlantic (63%, P = .003) sections less frequently viewed transgender-related surgical training as important. Most residents (77%) stated transgender-related surgical training should be offered in fellowships. Urology resident exposure to transgender patient care is regionally dependent. Perceived importance of gender-confirming surgical training varies by sex and geography. A gap exists between the direct transgender patient care urology residencies provide and the didactic transgender education they receive. Copyright © 2016 International Society for Sexual Medicine. Published by Elsevier Inc. All rights reserved.

Share2Quit: Web-Based Peer-Driven Referrals for Smoking Cessation

PubMed Central

2013-01-01

Background Smoking is the number one preventable cause of death in the United States. Effective Web-assisted tobacco interventions are often underutilized and require new and innovative engagement approaches. Web-based peer-driven chain referrals successfully used outside health care have the potential for increasing the reach of Internet interventions. Objective The objective of our study was to describe the protocol for the development and testing of proactive Web-based chain-referral tools for increasing the access to Decide2Quit.org, a Web-assisted tobacco intervention system. Methods We will build and refine proactive chain-referral tools, including email and Facebook referrals. In addition, we will implement respondent-driven sampling (RDS), a controlled chain-referral sampling technique designed to remove inherent biases in chain referrals and obtain a representative sample. We will begin our chain referrals with an initial recruitment of former and current smokers as seeds (initial participants) who will be trained to refer current smokers from their social network using the developed tools. In turn, these newly referred smokers will also be provided the tools to refer other smokers from their social networks. We will model predictors of referral success using sample weights from the RDS to estimate the success of the system in the targeted population. Results This protocol describes the evaluation of proactive Web-based chain-referral tools, which can be used in tobacco interventions to increase the access to hard-to-reach populations, for promoting smoking cessation. Conclusions Share2Quit represents an innovative advancement by capitalizing on naturally occurring technology trends to recruit smokers to Web-assisted tobacco interventions. PMID:24067329

Stability validation of paraformaldehyde-fixed samples for the assessment of the platelet PECAM-1, P-selectin, and PAR-1 thrombin receptor by flow cytometry.

PubMed

Atar, Oliver D; Eisert, Christian; Pokov, Ilya; Serebruany, Victor L

2010-07-01

Sample fixation for storage and/or transportation represents an unsolved challenge for multicenter clinical trials assessing serial changes in platelet activity, or monitoring various antiplatelet regimens. Whole blood flow cytometry represents a major advance in defining platelet function, although special training and expensive equipment is required. We sought to determine how fixation with 2% paraformaldehyde (PFA), and storage of blood samples over 1 week affects the flow cytometry readings for both intact and thrombin-activating four major surface platelet receptors. Whole blood platelet expression of PECAM-1, P-selectin, PAR-1 inactive receptor (SPAN-12), and cleaved (WEDE-15) epitope was assessed immediately after blood draw, after staining with 2% PFA, and at day 1, 3, 5, and 7. The study was performed in 6 volunteers with multiple risk factors for vascular disease, not receiving any antiplatelet agents. Staining with PFA resulted in a slight decrease of fluorescence intensity, especially for PECAM-1, while antigen expression at day 1, 3 and 5 remains consistent, and highly reproducible. At day 7 there was a small but inconsistent trend towards diminished fluorescence intensity. The platelet data were consistent while validated with the isotype-matched irrelevant antibody. These data suggest that there is a 5 day window to perform final flow cytometry readings of whole blood PFA-fixed inactivated platelet samples. In contrast, thrombin activation cause gradual loss of flow cytometry signal, and cannot be recommended for long-term storage. This is critical logistic information for conducting multicenter platelet substudies within the framework of major clinical trials.

Forum: Partnerships in Education and Training for Fundamental/Brush-Up Skills.

ERIC Educational Resources Information Center

Kightlinger, Pauline F.

A forum was held at Worcester State College in Worcester, MA (February 10, 1983) to examine the need for more collaboration between educational institutions and business and industry to provide fundamental and brush-up skills training in the workplace. Participating in the forum were representatives from training and human resource management and…

Vocational Education and Training in India: A Labour Market Perspective

ERIC Educational Resources Information Center

Agrawal, Tushar; Agrawal, Ankush

2017-01-01

Skill development has been a major policy agenda in several countries and there is a lot of emphasis on the promotion of vocational education and training (VET) programmes. This paper investigates the labour market outcomes of the vocationally trained population in India using the data from a nationally representative survey on employment and…

Partnering through Training and Practice to Achieve Performance Improvement

ERIC Educational Resources Information Center

Lyons, Paul R.

2010-01-01

This article presents a partnership effort among managers, trainers, and employees to spring to life performance improvement using the performance templates (P-T) approach. P-T represents a process model as well as a method of training leading to performance improvement. Not only does it add to our repertoire of training and performance management…

Labor's Key Role in Workplace Training.

ERIC Educational Resources Information Center

Roberts, Markley; Wozniak, Robert

AFL-CIO unions representing a wide range of workers in virtually every sector of the economy have teamed with employers to develop and sustain successful programs resulting in better trained, more productive workers. Joint training and education programs come in various forms and offer a wide range of services depending on the industry and worker…

Occupational Propensity for Training in a Late Industrial Society: Evidence from Russia

ERIC Educational Resources Information Center

Anikin, Vasiliy A.

2017-01-01

What factors best explain the low incidence of skills training in a late industrial society like Russia? This research undertakes a multilevel analysis of the role of occupational structure in the probability of training. The explanatory power of occupation-specific determinants and skills polarization are evaluated, using a representative 2012…

Psychotherapy Training for IMGs: Attending to the "How to" and "What to" Teach

ERIC Educational Resources Information Center

Weerasekera, Priyanthy

2012-01-01

International Medical Graduates (IMGs) make up a significant portion of the United States and Canadian workforce, and are well represented in psychiatry residency training programs. A review of the literature indicates that before entering residency training, many IMGs have minimal exposure to the behavioral sciences and poor communication…

Education, Training and Youth Affairs--Issues and Public Policy Responses.

ERIC Educational Resources Information Center

Sedgwick, Steve

Education and training in Australia represent a significant sector of the economy, comprising some 7 percent of the Gross Domestic Product. Public policy is fashioned to support three main sectors: schools, vocational education and training, and higher education. The mix of Commonwealth policy across these sectors is determined by distribution of…

First Year Specialist Anaesthesia Training in Ireland: A Logbook Analysis

ERIC Educational Resources Information Center

O'Shaughnessy, S. M.; Skerritt, C. J.; Fitzgerald, C. W.; Irwin, R.; Walsh, F.

2017-01-01

Objective: Acquisition of a new range of skills occurs during first year anaesthesia training. The first twelve months of specialist anaesthesia training represent the steepest part of the learning curve, and thus large differences in performance should be apparent between the first and last quarters of this period. At present, no published…

Report of a Conference on Apprenticeship Training and Suggestions for a Model Apprenticeship System for the 1970's.

ERIC Educational Resources Information Center

Foltman, Felician F.; Herman, Francine

Eighteen papers were presented at the conference by practitioners, academic researchers, labor representatives and members of government. Summaries of papers are grouped under the headings: Apprenticeship as a Training Process; Lessons from Followup Studies of Journeymen and Apprentices; Minorities in Apprenticeship; Apprenticeship Training in…

Customer Service Training. New Paradigm for Effective Workforce Skills. [Employee Guide and Supervisor's Guide.

ERIC Educational Resources Information Center

Saint Louis Community Coll., MO. Workplace Literacy Services Center.

These two documents are part of the customer service training program provided to employees of a large metropolitan hospital. The first manual contains customer service training activities for the hospital's dietary aides, cashiers, patient service representatives, and parking attendants. The activities are organized in three sections as follows:…

Beyond Perception: A Pretest and Posttest Evaluation of a Regional Internet Extension Inservice Training.

ERIC Educational Resources Information Center

Lippert, Robert M.; Plank, Owen; Radhakrishna, Rama

2000-01-01

Internet inservice training was offered to 150 county Extension agents representing six southeastern states, who used Web-based materials, an online pretest/posttest, and listserv discussions. Questionnaire responses indicated that most agents were very receptive to this method. Pretest/posttest scores show that the training resulted in a…

Competence training in evidence-based medicine for patients, patient counsellors, consumer representatives and health care professionals in Austria: a feasibility study.

PubMed

Berger, Bettina; Gerlach, Anja; Groth, Sylvia; Sladek, Ulla; Ebner, Katharina; Mühlhauser, Ingrid; Steckelberg, Anke

2013-01-01

Informed and shared decision-making require competences for both partners - healthcare professionals and patients. There is a lack of training courses in evidence-based medicine for patients and counsellors. We investigated feasibility, acceptability and the potential effects of a 2 x 2.5 days training course on critical health competences in patients, patient counsellors, consumer representatives and healthcare professionals in Austria. We adapted a previously developed curriculum for patient and consumer representatives. The adaptation comprised the specific needs of our target group in Austria and was founded on Carl Rogers' theory of person-centred education. For the formative evaluation a questionnaire was applied to address the domains: 1) organisational conditions (time and duration of the course, location, and information given in advance, registration); 2) assistance outside the courses; 3) teaching methods (performance of lecturers, teaching materials, structure of modules and blocks) and 4) satisfaction; 5) subjective assessment of competences. Participants evaluated the course, using a 5-point Likert scale. Long-term implementation was assessed using semi-structured interviews three to six months after the course. To estimate the increase in critical health competences we used the validated Critical Health Competence Test (CHC test). Eleven training courses were conducted including 142 participants: patients (n=21); self-help group representatives (n=17); professional counsellors (n=29); healthcare professionals (n=10); psychologists (n=8); teachers (n=10) and others (n=29). 97 out of 142 (68 %) participants returned the questionnaire. On average, participants strongly agreed or agreed to 1) organisational conditions: 71 % / 23 %; 2) assistance outside the courses: 96 % / 10 %; 3) teaching methods: 60 % / 28 %; and 4) satisfaction: 78 % / 20 %, respectively. Interviews showed that the training course raised awareness, activated and empowered participants. Participants passed the CHC test with mean person parameters of 463±111 (pre-test, n=120) and 547±135 (post-test, n=91). For participants who returned both tests (n=71) person parameters were comparable: pre-test 466±121 versus post-test 574±100, p<0,001. Training in evidence-based medicine for patients, patient counsellors, consumer representatives and healthcare professionals is feasible. For a broad implementation, train-the trainer courses and further research are needed. Copyright © 2012. Published by Elsevier GmbH.

Time Is Money...and the Enemy of College Completion: Transform American Higher Education to Boost Completion and Reduce Costs. Testimony before the United States House of Representatives Subcommittee on Higher Education and Workforce Training

ERIC Educational Resources Information Center

Jones, Stan

2012-01-01

This paper presents Stan Jones' testimony before the United States House of Representatives Subcommittee on Higher Education and Workforce Training. In his testimony, he talks about a new American majority of students that is emerging on campuses, especially at community colleges. These students must delicately balance long hours at jobs they must…

Short communication: Ability of dogs to detect cows in estrus from sniffing saliva samples.

PubMed

Fischer-Tenhagen, C; Tenhagen, B-A; Heuwieser, W

2013-02-01

Efficient estrus detection in high-producing dairy cows is a permanent challenge for successful reproductive performance. In former studies, dogs have been trained to identify estrus-specific odor in vaginal fluid, milk, urine, and blood samples under laboratory conditions with an accuracy of more than 80%. For on-farm utilization of estrus-detection dogs it would be beneficial in terms of hygiene and safety if dogs could identify cows from the feed alley. The objective of this proof of concept study was to test if dogs can be trained to detect estrus-specific scent in saliva of cows. Saliva samples were collected from cows in estrus and diestrus. Thirteen dogs of various breeds and both sexes were trained in this study. Five dogs had no experience in scent detection, whereas 8 dogs had been formerly trained for detection of narcotics or cancer. In the training and test situation, dogs had to detect 1 positive out of 4 samples. Dog training was based on positive reinforcement and dogs were rewarded with a clicker and food for indicating saliva samples of cows in estrus. A false indication was ignored and documented in the test situation. Dogs with and without prior training were trained for 1 and 5 d, respectively. For determining the accuracy of detection, the position of the positive sample was unknown to the dog handler, to avoid hidden cues to the dog. The overall percentage of correct positive indications was 57.6% (175/304), with a range from 40 (1 dog) to 75% (3 dogs). To our knowledge, this is the first indication that dogs are able to detect estrus-specific scent in saliva of cows. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Application of Digital Image Analysis to Determine Pancreatic Islet Mass and Purity in Clinical Islet Isolation and Transplantation

PubMed Central

Wang, Ling-jia; Kissler, Hermann J; Wang, Xiaojun; Cochet, Olivia; Krzystyniak, Adam; Misawa, Ryosuke; Golab, Karolina; Tibudan, Martin; Grzanka, Jakub; Savari, Omid; Grose, Randall; Kaufman, Dixon B; Millis, Michael; Witkowski, Piotr

2015-01-01

Pancreatic islet mass, represented by islet equivalent (IEQ), is the most important parameter in decision making for clinical islet transplantation. To obtain IEQ, the sample of islets is routinely counted manually under a microscope and discarded thereafter. Islet purity, another parameter in islet processing, is routinely acquired by estimation only. In this study, we validated our digital image analysis (DIA) system developed using the software of Image Pro Plus for islet mass and purity assessment. Application of the DIA allows to better comply with current good manufacturing practice (cGMP) standards. Human islet samples were captured as calibrated digital images for the permanent record. Five trained technicians participated in determination of IEQ and purity by manual counting method and DIA. IEQ count showed statistically significant correlations between the manual method and DIA in all sample comparisons (r >0.819 and p < 0.0001). Statistically significant difference in IEQ between both methods was found only in High purity 100μL sample group (p = 0.029). As far as purity determination, statistically significant differences between manual assessment and DIA measurement was found in High and Low purity 100μL samples (p<0.005), In addition, islet particle number (IPN) and the IEQ/IPN ratio did not differ statistically between manual counting method and DIA. In conclusion, the DIA used in this study is a reliable technique in determination of IEQ and purity. Islet sample preserved as a digital image and results produced by DIA can be permanently stored for verification, technical training and islet information exchange between different islet centers. Therefore, DIA complies better with cGMP requirements than the manual counting method. We propose DIA as a quality control tool to supplement the established standard manual method for islets counting and purity estimation. PMID:24806436

Sea Training at Maritime Academies Oversight. Hearings Before the Ad Hoc Select Subcommittee on Maritime Education and Training of the Committee on Merchant Marine and Fisheries, House of Representatives, Ninety-Sixth Congress, Second Session on Sea Training of United States Merchant Marine Officers and Different Ways of Satisfying This Requirement at the Various Maritime Academies.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Merchant Marine and Fisheries.

Recorded are minutes of hearings before the House Ad Hoc Select Subcommittee on Maritime Education and Training regarding the sea training of United States Merchant Marine officers. Examined are various approaches to meeting the sea training requirement, especially the options of maritime academy training vessels, sailing on U.S.-flag merchant…

PhyloPythiaS+: a self-training method for the rapid reconstruction of low-ranking taxonomic bins from metagenomes.

PubMed

Gregor, Ivan; Dröge, Johannes; Schirmer, Melanie; Quince, Christopher; McHardy, Alice C

2016-01-01

Background. Metagenomics is an approach for characterizing environmental microbial communities in situ, it allows their functional and taxonomic characterization and to recover sequences from uncultured taxa. This is often achieved by a combination of sequence assembly and binning, where sequences are grouped into 'bins' representing taxa of the underlying microbial community. Assignment to low-ranking taxonomic bins is an important challenge for binning methods as is scalability to Gb-sized datasets generated with deep sequencing techniques. One of the best available methods for species bins recovery from deep-branching phyla is the expert-trained PhyloPythiaS package, where a human expert decides on the taxa to incorporate in the model and identifies 'training' sequences based on marker genes directly from the sample. Due to the manual effort involved, this approach does not scale to multiple metagenome samples and requires substantial expertise, which researchers who are new to the area do not have. Results. We have developed PhyloPythiaS+, a successor to our PhyloPythia(S) software. The new (+) component performs the work previously done by the human expert. PhyloPythiaS+ also includes a new k-mer counting algorithm, which accelerated the simultaneous counting of 4-6-mers used for taxonomic binning 100-fold and reduced the overall execution time of the software by a factor of three. Our software allows to analyze Gb-sized metagenomes with inexpensive hardware, and to recover species or genera-level bins with low error rates in a fully automated fashion. PhyloPythiaS+ was compared to MEGAN, taxator-tk, Kraken and the generic PhyloPythiaS model. The results showed that PhyloPythiaS+ performs especially well for samples originating from novel environments in comparison to the other methods. Availability. PhyloPythiaS+ in a virtual machine is available for installation under Windows, Unix systems or OS X on: https://github.com/algbioi/ppsp/wiki.

Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer

NASA Astrophysics Data System (ADS)

Bychkov, Dmitrii; Turkki, Riku; Haglund, Caj; Linder, Nina; Lundin, Johan

2016-03-01

Recent advances in computer vision enable increasingly accurate automated pattern classification. In the current study we evaluate whether a convolutional neural network (CNN) can be trained to predict disease outcome in patients with colorectal cancer based on images of tumor tissue microarray samples. We compare the prognostic accuracy of CNN features extracted from the whole, unsegmented tissue microarray spot image, with that of CNN features extracted from the epithelial and non-epithelial compartments, respectively. The prognostic accuracy of visually assessed histologic grade is used as a reference. The image data set consists of digitized hematoxylin-eosin (H and E) stained tissue microarray samples obtained from 180 patients with colorectal cancer. The patient samples represent a variety of histological grades, have data available on a series of clinicopathological variables including long-term outcome and ground truth annotations performed by experts. The CNN features extracted from images of the epithelial tissue compartment significantly predicted outcome (hazard ratio (HR) 2.08; CI95% 1.04-4.16; area under the curve (AUC) 0.66) in a test set of 60 patients, as compared to the CNN features extracted from unsegmented images (HR 1.67; CI95% 0.84-3.31, AUC 0.57) and visually assessed histologic grade (HR 1.96; CI95% 0.99-3.88, AUC 0.61). As a conclusion, a deep-learning classifier can be trained to predict outcome of colorectal cancer based on images of H and E stained tissue microarray samples and the CNN features extracted from the epithelial compartment only resulted in a prognostic discrimination comparable to that of visually determined histologic grade.

Nurse prescribers' interactions with and perceptions of pharmaceutical sales representatives.

PubMed

Clauson, Kevin A; Khanfar, Nile M; Polen, Hyla H; Gibson, Florencetta

2009-01-01

The aim of our study was to investigate the perceptions of pharmaceutical sales representatives by nurse prescribers. Nurses with advanced training have earned prescriptive authority in North America, Europe and other parts of the world. These nurses are being increasingly targeted by pharmaceutical sales representatives. There is a paucity of data regarding nurses' perceptions of pharmaceutical sales representatives. Survey. A convenience sample of nurse prescribers was recruited to complete an Internet questionnaire about their interactions with and perceptions of sales representatives. The data were collected over one month ending in January 2007. There were 39 survey items ranging from perception-based items assessed by Likert-type scale to open-ended queries. Descriptive statistics were used to summarise the results. Ninety-two nurses completed this survey, which demonstrated good internal consistency yielding a Cronbach's alpha coefficient of 0.83. Positive perceptions of pharmaceutical representatives included: explaining their products clearly (80.4%) and knowledge about their medications (88.0%). Negative aspects included: lack of consideration of nurses' time (50%) and failure to equally discuss medication strengths and weaknesses (21.8%). Perhaps the most alarming finding was that 35.9% of respondents indicated that sales representatives suggested paybacks for promoting their drugs. Nurses with prescriptive authority generally perceive interactions with pharmaceutical sales representatives as positive. However, they also have concerns about the nature and methods of some of their activities. Nations that have nurses with prescribing authority can benefit from observing both the mis-steps and the positive inroads that have already been made by the profession in the USA and other countries. Appropriate use of pharmaceutical sales representatives' services may enhance the ability of nurse prescribers to deliver optimal nursing care. Methods, such as counter-detailing may be necessary to maintain an evidence-based approach as the controlling factor.

On-the-Job and Apprenticeship Training Programs. Hearing before the Subcommittee on Education, Training and Employment of the Committee on Veterans' Affairs. House of Representatives, Ninety-Eighth Congress, First Session.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Veterans' Affairs.

This congressional report contains testimony dealing with on-the-job and apprenticeship training programs. More specifically, the testimony focused on the employment problems, educational and training needs, and programs available to assist unemployed as well as underemployed Vietnam era veterans. Included among those agencies and organizations…

Training and Competitiveness in U.S. Manufacturing and Services: Training Needs and Practices of Lead Firms in Textile, Banking, Retailing and Business Services. Contractor Report.

ERIC Educational Resources Information Center

Noyelle, Thierry; Bailey, Thomas

Changing employer-based training represents one strategy that U.S. firms are adopting to confront recent transformations in the global economy. The new competitive conditions place new and different demands on workers, more of whom are being called upon to use technical, conceptual, and communications skills. Approaches to training in particular…

Comparison of the Effectiveness of Interactive Didactic Lecture Versus Online Simulation-Based CME Programs Directed at Improving the Diagnostic Capabilities of Primary Care Practitioners.

PubMed

McFadden, Pam; Crim, Andrew

2016-01-01

Diagnostic errors in primary care contribute to increased morbidity and mortality, and billions in costs each year. Improvements in the way practicing physicians are taught so as to optimally perform differential diagnosis can increase patient safety and lower the costs of care. This study represents a comparison of the effectiveness of two approaches to CME training directed at improving the primary care practitioner's diagnostic capabilities against seven common and important causes of joint pain. Using a convenience sampling methodology, one group of primary care practitioners was trained by a traditional live, expert-led, multimedia-based training activity supplemented with interactive practice opportunities and feedback (control group). The second group was trained online with a multimedia-based training activity supplemented with interactive practice opportunities and feedback delivered by an artificial intelligence-driven simulation/tutor (treatment group). Before their respective instructional intervention, there were no significant differences in the diagnostic performance of the two groups against a battery of case vignettes presenting with joint pain. Using the same battery of case vignettes to assess postintervention diagnostic performance, there was a slight but not statistically significant improvement in the control group's diagnostic accuracy (P = .13). The treatment group, however, demonstrated a significant improvement in accuracy (P < .02; Cohen d, effect size = 0.79). These data indicate that within the context of a CME activity, a significant improvement in diagnostic accuracy can be achieved by the use of a web-delivered, multimedia-based instructional activity supplemented by practice opportunities and feedback delivered by an artificial intelligence-driven simulation/tutor.

Aerobic fitness and the brain: increased N-acetyl-aspartate and choline concentrations in endurance-trained middle-aged adults.

PubMed

Gonzales, Mitzi M; Tarumi, Takashi; Kaur, Sonya; Nualnim, Nantinee; Fallow, Bennett A; Pyron, Martha; Tanaka, Hirofumi; Haley, Andreana P

2013-01-01

Engagement in regular aerobic exercise is associated with cognitive benefits, but information on the mechanisms governing these changes in humans is limited. The goal of the current study was to compare neurometabolite concentrations relating to cellular metabolism, structure, and viability in endurance-trained and sedentary middle-aged adults. Twenty-eight endurance-trained and 27 sedentary adults, aged 40-65 years, underwent general health assessment, cardiorespiratory fitness measurement, neuropsychological testing, and proton magnetic resonance spectroscopy ((1)H MRS). (1)H MRS was used to examine N-acetyl-aspartate (NAA), creatine (Cr), myo-inositol (mI), choline (Cho), and glutamate (Glu) concentrations in frontal and occipitoparietal grey matter. Group differences in concentrations of NAA, Cho, mI, and Glu, calculated as ratios over Cr, were explored using ANOVA. There were no significant differences in global cognitive function, memory, and executive function performance between the groups. In comparison to sedentary adults, the endurance-trained group displayed significantly higher NAA/Cr in the frontal grey matter (F(1, 53) = 5.367, p = 0.024) and higher Cho/Cr in the occipitoparietal grey matter (F(1, 53) = 5.138, p = 0.028). Within our middle-aged sample, endurance-trained adults demonstrated higher levels of NAA/Cr in the frontal grey matter and higher Cho/Cr in the occipitoparietal grey matter. Higher levels of NAA may indicate greater neuronal integrity and higher cerebral metabolic efficiency in association with cardiorespiratory fitness, whereas increased Cho may represent increased phospholipid levels secondary to neural plasticity.

Matrix of educational and training materials in remote sensing

NASA Technical Reports Server (NTRS)

Lindenlaub, J. C.; Lube, B. M.

1976-01-01

Remote sensing educational and training materials developed by LARS have been organized in a matrix format. Each row in the matrix represents a subject area in remote sensing and the columns represent different types of instructional materials. This format has proved to be useful for displaying in a concise manner the subject matter content, prerequisite requirements and technical depth of each instructional module in the matrix. A general description of the matrix is followed by three examples designed to illustrate how the matrix can be used to synthesize training programs tailored to meet the needs of individual students. A detailed description of each of the modules in the matrix is contained in a catalog section.

Preflight coverage of STS-114 & Expedition 7 Crews, Emergency Egress Training

NASA Image and Video Library

2002-09-12

JSC2002-01650 (12 September 2002) --- The STS-114 and Expedition Seven crews, attired in training versions of the full-pressure launch and entry suit, pose for a group photo prior to a training session in the Space Vehicle Mockup Facility at the Johnson Space Center (JSC). From the left are astronauts Eileen M. Collins, James M. Kelly, STS-114 mission commander and pilot, respectively; Soichi Noguchi and Stephen K. Robinson, both STS-114 mission specialists; Edward T. Lu, Expedition Seven flight engineer; cosmonauts Sergei I. Moschenko and Yuri I. Malenchenko, Expedition Seven flight engineer and mission commander, respectively. Moschenko and Malenchenko represent Rosaviakosmos and Noguchi represents Japan’s National Space Development Agency (NASDA).

STS-114 with Expedition 7 during ASC/CAP/OES Training.

NASA Image and Video Library

2002-11-12

JSC2002-02020 (12 November 2002) --- The STS-114 and Expedition Seven crews, attired in training versions of the full-pressure launch and entry suit, pose for a group photo prior to a training session in the Space Vehicle Mockup Facility at the Johnson Space Center (JSC). From the left are astronauts Soichi Noguchi, Stephen K. Robinson, both STS-114 mission specialists; James M. Kelly, STS-114 pilot; Eileen M. Collins, STS-114 mission commander; Edward T. Lu, Expedition Seven flight engineer; cosmonauts Yuri I. Malenchenko, Expedition Seven mission commander; and Alexander Y. Kaleri, Expedition Seven flight engineer. Noguchi represents Japan’s National Space Development Agency (NASDA). Malenchenko and Kaleri represent Rosaviakosmos.

Over-Selectivity as a Learned Response

ERIC Educational Resources Information Center

Reed, Phil; Petrina, Neysa; McHugh, Louise

2011-01-01

An experiment investigated the effects of different levels of task complexity in pre-training on over-selectivity in a subsequent match-to-sample (MTS) task. Twenty human participants were divided into two groups; exposed either to a 3-element, or a 9-element, compound stimulus as a sample during MTS training. After the completion of training,…

Dynamic spiking studies using the DNPH sampling train

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steger, J.L.; Knoll, J.E.

1996-12-31

The proposed aldehyde and ketone sampling method using aqueous 2,4-dinitrophenylhydrazine (DNPH) was evaluated in the laboratory and in the field. The sampling trains studied were based on the train described in SW 846 Method 0011. Nine compounds were evaluated: formaldehyde, acetaldehyde, quinone, acrolein, propionaldeyde, methyl isobutyl ketone, methyl ethyl ketone, acetophenone, and isophorone. In the laboratory, the trains were spiked both statistically and dynamically. Laboratory studies also investigated potential interferences to the method. Based on their potential to hydrolyze in acid solution to form formaldehyde, dimethylolurea, saligenin, s-trioxane, hexamethylenetetramine, and paraformaldehyde were investigated. Ten runs were performed using quadruplicate samplingmore » trains. Two of the four trains were dynamically spiked with the nine aldehydes and ketones. The test results were evaluated using the EPA method 301 criteria for method precision (< + pr - 50% relative standard deviation) and bias (correction factor of 1.00 + or - 0.30).« less

Evaluation of the TEAM Train-the-Trainer program

DOT National Transportation Integrated Search

1992-05-22

Author's abstract: The objective of this study was to evaluate the effectiveness of Techniques for Effective Alcohol Management (TEAM) Train-the-Trainer workshops. Effectiveness was measured in terms of the success facility representatives had, after...

Persistent spatial information in the frontal eye field during object-based short-term memory.

PubMed

Clark, Kelsey L; Noudoost, Behrad; Moore, Tirin

2012-08-08

Spatial attention is known to gate entry into visual short-term memory, and some evidence suggests that spatial signals may also play a role in binding features or protecting object representations during memory maintenance. To examine the persistence of spatial signals during object short-term memory, the activity of neurons in the frontal eye field (FEF) of macaque monkeys was recorded during an object-based delayed match-to-sample task. In this task, monkeys were trained to remember an object image over a brief delay, regardless of the locations of the sample or target presentation. FEF neurons exhibited visual, delay, and target period activity, including selectivity for sample location and target location. Delay period activity represented the sample location throughout the delay, despite the irrelevance of spatial information for successful task completion. Furthermore, neurons continued to encode sample position in a variant of the task in which the matching stimulus never appeared in their response field, confirming that FEF maintains sample location independent of subsequent behavioral relevance. FEF neurons also exhibited target-position-dependent anticipatory activity immediately before target onset, suggesting that monkeys predicted target position within blocks. These results show that FEF neurons maintain spatial information during short-term memory, even when that information is irrelevant for task performance.

Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California: Chapter E in Geology and geophysics applied to groundwater hydrology at Fort Irwin, California

USGS Publications Warehouse

Bloss, Benjamin R.; Bedrosian, Paul A.; Buesch, David C.

2015-01-01

Correlating laboratory resistivity measurements with geophysical resistivity models helps constrain these models to the geology and lithology of an area. Throughout the Fort Irwin National Training Center area, 111 samples from both cored boreholes and surface outcrops were collected and processed for laboratory measurements. These samples represent various lithologic types that include plutonic and metamorphic (basement) rocks, lava flows, consolidated sedimentary rocks, and unconsolidated sedimentary deposits that formed in a series of intermountain basins. Basement rocks, lava flows, and some lithified tuffs are generally resistive (≥100 ohm-meters [Ω·m]) when saturated. Saturated unconsolidated samples are moderately conductive to conductive, with resistivities generally less than 100 Ω·m, and many of these samples are less than 50 Ω·m. The unconsolidated samples can further be separated into two broad groups: (1) younger sediments that are moderately conductive, owing to their limited clay content, and (2) older, more conductive sediments with a higher clay content that reflects substantial amounts of originally glassy volcanic ash subsequently altered to clay. The older sediments are believed to be Tertiary. Time-domain electromagnetic (TEM) data were acquired near most of the boreholes, and, on the whole, close agreements between laboratory measurements and resistivity models were found. 

Can Geostatistical Models Represent Nature's Variability? An Analysis Using Flume Experiments

NASA Astrophysics Data System (ADS)

Scheidt, C.; Fernandes, A. M.; Paola, C.; Caers, J.

2015-12-01

The lack of understanding in the Earth's geological and physical processes governing sediment deposition render subsurface modeling subject to large uncertainty. Geostatistics is often used to model uncertainty because of its capability to stochastically generate spatially varying realizations of the subsurface. These methods can generate a range of realizations of a given pattern - but how representative are these of the full natural variability? And how can we identify the minimum set of images that represent this natural variability? Here we use this minimum set to define the geostatistical prior model: a set of training images that represent the range of patterns generated by autogenic variability in the sedimentary environment under study. The proper definition of the prior model is essential in capturing the variability of the depositional patterns. This work starts with a set of overhead images from an experimental basin that showed ongoing autogenic variability. We use the images to analyze the essential characteristics of this suite of patterns. In particular, our goal is to define a prior model (a minimal set of selected training images) such that geostatistical algorithms, when applied to this set, can reproduce the full measured variability. A necessary prerequisite is to define a measure of variability. In this study, we measure variability using a dissimilarity distance between the images. The distance indicates whether two snapshots contain similar depositional patterns. To reproduce the variability in the images, we apply an MPS algorithm to the set of selected snapshots of the sedimentary basin that serve as training images. The training images are chosen from among the initial set by using the distance measure to ensure that only dissimilar images are chosen. Preliminary investigations show that MPS can reproduce fairly accurately the natural variability of the experimental depositional system. Furthermore, the selected training images provide process information. They fall into three basic patterns: a channelized end member, a sheet flow end member, and one intermediate case. These represent the continuum between autogenic bypass or erosion, and net deposition.

A survey on critical care resources and practices in low- and middle-income countries.

PubMed

Vukoja, Marija; Riviello, Elisabeth; Gavrilovic, Srdjan; Adhikari, Neill K J; Kashyap, Rahul; Bhagwanjee, Satish; Gajic, Ognjen; Kilickaya, Oguz

2014-09-01

Timely and appropriate care is the key to achieving good outcomes in acutely ill patients, but the effectiveness of critical care may be limited in resource-limited settings. This study sought to understand how to implement best practices in intensive care units (ICU) in low- and middle-income countries (LMIC) and to develop a point-of-care training and decision-support tool. An internationally representative group of clinicians performed a 22-item capacity-and-needs assessment survey in a convenience sample of 13 ICU in Eastern Europe (4), Asia (4), Latin America (3), and Africa (2), between April and July 2012. Two ICU were from low-income, 2 from low-middle-income, and 9 from upper-middle-income countries. Clinician respondents were asked about bed capacity, patient characteristics, human resources, available medications and equipment, access to education, and processes of care. Thirteen clinicians from each of 13 hospitals (1 per ICU) responded. Surveyed hospitals had median of 560 (interquartile range [IQR]: 232, 1,200) beds. ICU had a median of 9 (IQR: 7, 12) beds and treated 40 (IQR: 20, 67) patients per month. Many ICU had ≥ 1 staff member with some formal critical care training (n = 9, 69%) or who completed Fundamental Critical Care Support (n = 7, 54%) or Advanced Cardiac Life Support (n = 9, 69%) courses. Only 2 ICU (15%) used any kind of checklists for acute resuscitation. Ten (77%) ICU listed lack of trained staff as the most important barrier to improving the care and outcomes of critically ill patients. In a convenience sample of 13 ICU from LMIC, specialty-trained staff and standardized processes of care such as checklists are frequently lacking. ICU needs-assessment evaluations should be expanded in LMIC as a global priority, with the goal of creating and evaluating context-appropriate checklists for ICU best practices. Copyright © 2014 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.

Collaborative filtering for brain-computer interaction using transfer learning and active class selection.

PubMed

Wu, Dongrui; Lance, Brent J; Parsons, Thomas D

2013-01-01

Brain-computer interaction (BCI) and physiological computing are terms that refer to using processed neural or physiological signals to influence human interaction with computers, environment, and each other. A major challenge in developing these systems arises from the large individual differences typically seen in the neural/physiological responses. As a result, many researchers use individually-trained recognition algorithms to process this data. In order to minimize time, cost, and barriers to use, there is a need to minimize the amount of individual training data required, or equivalently, to increase the recognition accuracy without increasing the number of user-specific training samples. One promising method for achieving this is collaborative filtering, which combines training data from the individual subject with additional training data from other, similar subjects. This paper describes a successful application of a collaborative filtering approach intended for a BCI system. This approach is based on transfer learning (TL), active class selection (ACS), and a mean squared difference user-similarity heuristic. The resulting BCI system uses neural and physiological signals for automatic task difficulty recognition. TL improves the learning performance by combining a small number of user-specific training samples with a large number of auxiliary training samples from other similar subjects. ACS optimally selects the classes to generate user-specific training samples. Experimental results on 18 subjects, using both k nearest neighbors and support vector machine classifiers, demonstrate that the proposed approach can significantly reduce the number of user-specific training data samples. This collaborative filtering approach will also be generalizable to handling individual differences in many other applications that involve human neural or physiological data, such as affective computing.

Collaborative Filtering for Brain-Computer Interaction Using Transfer Learning and Active Class Selection

PubMed Central

Wu, Dongrui; Lance, Brent J.; Parsons, Thomas D.

2013-01-01

Brain-computer interaction (BCI) and physiological computing are terms that refer to using processed neural or physiological signals to influence human interaction with computers, environment, and each other. A major challenge in developing these systems arises from the large individual differences typically seen in the neural/physiological responses. As a result, many researchers use individually-trained recognition algorithms to process this data. In order to minimize time, cost, and barriers to use, there is a need to minimize the amount of individual training data required, or equivalently, to increase the recognition accuracy without increasing the number of user-specific training samples. One promising method for achieving this is collaborative filtering, which combines training data from the individual subject with additional training data from other, similar subjects. This paper describes a successful application of a collaborative filtering approach intended for a BCI system. This approach is based on transfer learning (TL), active class selection (ACS), and a mean squared difference user-similarity heuristic. The resulting BCI system uses neural and physiological signals for automatic task difficulty recognition. TL improves the learning performance by combining a small number of user-specific training samples with a large number of auxiliary training samples from other similar subjects. ACS optimally selects the classes to generate user-specific training samples. Experimental results on 18 subjects, using both nearest neighbors and support vector machine classifiers, demonstrate that the proposed approach can significantly reduce the number of user-specific training data samples. This collaborative filtering approach will also be generalizable to handling individual differences in many other applications that involve human neural or physiological data, such as affective computing. PMID:23437188

The effects of food-related attentional bias training on appetite and food intake.

PubMed

Hardman, Charlotte A; Rogers, Peter J; Etchells, Katie A; Houstoun, Katie V E; Munafò, Marcus R

2013-12-01

Obese and overweight individuals show a marked attentional bias to food cues. Food-related attentional bias may therefore play a causal role in over-eating. To test this possibility, the current study experimentally manipulated attentional bias towards food using a modified version of the visual probe task in which cake-stationery item image pairs were presented for 500 ms each. Participants (N=60) were either trained to attend to images of cake, trained to avoid images of cake, or assigned to a no-training control group. Hunger was measured before and after the training. Post-training, participants were given the opportunity to consume cake as well as a non-target food (crisps) that was not included in the training. There was weak evidence of an increase in attentional bias towards cake in the attend group only. We found no selective effects of the training on hunger or food intake, and little evidence for any gender differences. Our study suggests that attentional bias for food is particularly ingrained and difficult to modify. It also represents a first step towards elucidating the potential functional significance of food-related attentional biases and the lack of behavioural effects is broadly consistent with single-session attentional training studies from the addiction literature. An alternative hypothesis, that attentional bias represents a noncausal proxy for the motivational impact of appetitive stimuli, is considered. Copyright © 2013 Elsevier Ltd. All rights reserved.

The effects of food-related attentional bias training on appetite and food intake

PubMed Central

Hardman, Charlotte A.; Rogers, Peter J.; Etchells, Katie A.; Houstoun, Katie V. E.; Munafò, Marcus R.

2016-01-01

Obese and overweight individuals show a marked attentional bias to food cues. Food-related attentional bias may therefore play a causal role in over-eating. To test this possibility, the current study experimentally manipulated attentional bias towards food using a modified version of the visual probe task in which cake-stationery item image pairs were presented for 500 ms each. Participants (N = 60) were either trained to attend to images of cake, trained to avoid images of cake, or assigned to a no-training control group. Hunger was measured before and after the training. Post-training, participants were given the opportunity to consume cake as well as a non-target food (crisps) that was not included in the training. There was weak evidence of an increase in attentional bias towards cake in the attend group only. We found no selective effects of the training on hunger or food intake, and little evidence for any gender differences. Our study suggests that attentional bias for food is particularly ingrained and difficult to modify. It also represents a first step towards elucidating the potential functional significance of food-related attentional biases and the lack of behavioural effects is broadly consistent with single-session attentional training studies from the addiction literature. An alternative hypothesis, that attentional bias represents a noncausal proxy for the motivational impact of appetitive stimuli, is considered. PMID:24025548

Aquatic macroinvertebrates collected at Ravenna Army Ammunition Plant, Portage and Trumbull Counties, Ohio, 1998

USGS Publications Warehouse

Tertuliani, John S.

1999-01-01

The results of a survey of macroinvertebrate communities in the Ravenna Army Ammunition Plant, were used as an indicator of disturbance in streams flowing through or near the training areas at the Plant. The data were interpreted using the Invertebrate Community Index (ICI), a multiple-metric index developed by the Ohio Environmental Protection Agency and based on the structural and functional characteristics of the macroinvertebrate community. Quantitative samples of the macroinvertebrate were collected for ICI determination from three streams South Fork Eagle Creek, Sand Creek, and Hinkley Creek flowing through the study area. These samples were collected using Hester-Dendy type artificial substrate samplers, which were placed in the streams during a 6-week sampling period, June 2 through July 15, 1998. A qualitative- dipnet sample from the natural substrates also was collected at each station on July 15, 1998, the last day of the sampling period. The macroinvertebrate communities at all three stations met the criterion designated for warmwater habitat aquatic life use, and communities at two of the three stations exceeded the criterion. The ICI scores were 42 at South Fork Eagle Creek, 50 at Sand Creek, and 48 at Hinkley Creek. The density of macroinvertebrates at South Fork Eagle Creek was 1,245 per square foot and represented 38 distinct taxa. The density at Sand Creek was 246 per square foot and represented 29 distinct taxa. The density at Hinkley Creek was 864 per square foot and represented 36 distinct taxa. Qualitative samples were also collected at 21 other sites using a D-framed dipnet. The qualitative sites encompassed three main environments: stream, pond, and swamp-wetland. All available habitat types in each environment were sampled until no new taxa were evident during coarse examination. The highest number of taxa were collected from the streams. The total number of taxa collected in streams ranged from 25 to 76; the mean was 60 and median 64. The total taxa collected from ponds ranged from 32 to 60; the mean was 42 and median 41. The total taxa collected from swamp-wetland areas ranged from 6 to 30; the mean was 20 and median 23. The results are listed in phylogenetic order in this report and establish baseline data for future studies.

Nonlinear Spatial Inversion Without Monte Carlo Sampling

NASA Astrophysics Data System (ADS)

Curtis, A.; Nawaz, A.

2017-12-01

High-dimensional, nonlinear inverse or inference problems usually have non-unique solutions. The distribution of solutions are described by probability distributions, and these are usually found using Monte Carlo (MC) sampling methods. These take pseudo-random samples of models in parameter space, calculate the probability of each sample given available data and other information, and thus map out high or low probability values of model parameters. However, such methods would converge to the solution only as the number of samples tends to infinity; in practice, MC is found to be slow to converge, convergence is not guaranteed to be achieved in finite time, and detection of convergence requires the use of subjective criteria. We propose a method for Bayesian inversion of categorical variables such as geological facies or rock types in spatial problems, which requires no sampling at all. The method uses a 2-D Hidden Markov Model over a grid of cells, where observations represent localized data constraining the model in each cell. The data in our example application are seismic properties such as P- and S-wave impedances or rock density; our model parameters are the hidden states and represent the geological rock types in each cell. The observations at each location are assumed to depend on the facies at that location only - an assumption referred to as `localized likelihoods'. However, the facies at a location cannot be determined solely by the observation at that location as it also depends on prior information concerning its correlation with the spatial distribution of facies elsewhere. Such prior information is included in the inversion in the form of a training image which represents a conceptual depiction of the distribution of local geologies that might be expected, but other forms of prior information can be used in the method as desired. The method provides direct (pseudo-analytic) estimates of posterior marginal probability distributions over each variable, so these do not need to be estimated from samples as is required in MC methods. On a 2-D test example the method is shown to outperform previous methods significantly, and at a fraction of the computational cost. In many foreseeable applications there are therefore no serious impediments to extending the method to 3-D spatial models.

Overload training inhibits phagocytosis and ROS generation of peritoneal macrophages: role of IGF-1 and MGF.

PubMed

Xiao, Weihua; Chen, Peijie; Wang, Ru; Dong, Jingmei

2013-01-01

We tested the hypothesis that overload training inhibits the phagocytosis and the reactive oxygen species (ROS) generation of peritoneal macrophages (Mϕs), and that insulin-like growth factor-1(IGF-1) and mechano-growth factor (MGF) produced by macrophages may contribute to this process. Rats were randomized to two groups, sedentary control group (n = 10) and overload training group (n = 10). The rats of overload training group were subjected to 11 weeks of experimental training protocol. Blood sample was used to determine the content of hemoglobin, testosterone, and corticosterone. The phagocytosis and the ROS generation of Mϕs were measured by the uptake of neutral red and the flow cytometry, respectively. IGF-1 and MGF mRNA levels in Mϕs were determined by real-time PCR. In addition, we evaluated the effects of IGF-1 and MGF peptide on phagocytosis and ROS generation of Mϕs in vitro. The data showed that overload training significantly decreased the body weight (19.3 %, P < 0.01), the hemoglobin (13.5 %, P < 0.01), the testosterone (55.3 %, P < 0.01) and the corticosterone (40.6 %, P < 0.01) in blood. Moreover, overload training significantly decreased the phagocytosis (27 %, P < 0.05) and the ROS generation (35 %, P < 0.01) of Mϕs. IGF-1 and MGF mRNA levels in Mϕs from overload training group increased significantly compared with the control group (21-fold and 92-fold, respectively; P < 0.01). In vitro experiments showed that IGF-1 had no significant effect on the phagocytosis and the ROS generation of Mϕs. Unlike IGF-1, MGF peptide impaired the phagocytosis of Mϕs in dose-independent manner. In addition, MGF peptide of some concentrations (i.e., 1, 10, 50, 100 ng/ml) significantly inhibited the ROS generation of Mϕs. These results suggest that overload training inhibits the phagocytosis and the ROS generation of peritoneal macrophages, and that MGF produced by macrophages may play a key role in this process. This may represent a novel mechanism of immune suppression induced by overload training.

Global Diversity and Academic Success of Foreign-Trained Academic Neurosurgeons in the United States.

PubMed

Mistry, Akshitkumar M; Ganesh Kumar, Nishant; Reynolds, Rebecca A; Hale, Andrew T; Wellons, John C; Naftel, Robert P

2017-08-01

To quantify the proportion of academic neurosurgeons practicing in the United States who acquired residency training outside of the United States and compare their training backgrounds and academic success with those who received their residency training in the United States. We identified 1338 clinically active academic neurosurgeons from 104 programs that participated in the neurosurgery residency match in the United States in January-February 2015. Their training backgrounds, current academic positions, and history of National Institutes of Health (NIH) grant awards between 2005 and 2014 were retrieved from publicly accessible sources. Eighty-four U.S. academic neurosurgeons (6.3%) received their residency training in 20 different countries outside of the United States/Puerto Rico, representing all major regions of the world. The majority trained in Canada (n = 48). We found no major differences between the foreign-trained and U.S.-trained neurosurgeons in male:female ratio, year of starting residency, proportion with positions in medical schools ranked in the top 15 by the U.S. News and World Report, general distribution of academic positions, and proportion with an NIH grant. Compared with U.S.-trained academic neurosurgeons, foreign-trained academic neurosurgeons had a significantly higher proportion of Ph.D. degrees (32.1% vs. 12.3%; P < 0.0001) and held more associate professorships (34.5% vs. 23.1%; P = 0.02). The academic practices of the foreign-trained neurosurgeons were widely distributed throughout the United States. A small group of U.S. academic neurosurgeons (6.3%) have acquired residency training outside of the United States, representing all major regions of the world. Their general demographic data and academic accomplishments are comparable to those of U.S.-trained neurosurgeons. Copyright © 2017 Elsevier Inc. All rights reserved.

Methodological update in Medicina Intensiva.

PubMed

García Garmendia, J L

2018-04-01

Research in the critically ill is complex by the heterogeneity of patients, the difficulties to achieve representative sample sizes and the number of variables simultaneously involved. However, the quantity and quality of records is high as well as the relevance of the variables used, such as survival. The methodological tools have evolved to offering new perspectives and analysis models that allow extracting relevant information from the data that accompanies the critically ill patient. The need for training in methodology and interpretation of results is an important challenge for the intensivists who wish to be updated on the research developments and clinical advances in Intensive Medicine. Copyright © 2017 Elsevier España, S.L.U. y SEMNIM. All rights reserved.

Train the Trainer. Facilitator Guide Sample. Basic Blueprint Reading (Chapter One).

ERIC Educational Resources Information Center

Saint Louis Community Coll., MO.

This publication consists of three sections: facilitator's guide--train the trainer, facilitator's guide sample--Basic Blueprint Reading (Chapter 1), and participant's guide sample--basic blueprint reading (chapter 1). Section I addresses why the trainer should learn new classroom techniques; lecturing versus facilitating; learning styles…

Evaluation of the Training Centre Infrastructure Fund (TCIF). Final Report

ERIC Educational Resources Information Center

Human Resources and Skills Development Canada, 2009

2009-01-01

The Training Centre Infrastructure Fund (TCIF) was initially announced in Budget 2004 and represented an immediate measure of the broader Workplace Skills Strategy. TCIF was a three-year $25 million pilot project, designed to address the growing need for union-employer training centres to replace aging equipment and simulators that were not up to…

Training for a Better Environment. An Evaluation of the Environmental Education and Training Needs in Vocational Education in South Australia.

ERIC Educational Resources Information Center

Guthrie, Hugh; Cesnich, Janine

A study evaluated the need for environmental education and training in vocational education in South Australia. Data were collected from the following sources: consultations with representatives of 16 organizations in the business, government, and education sectors; survey responses from 298 of 1,430 (response rate 21%) contacted…

The Feasibility of Generalized Acoustic Sensor Operator Training. Final Report for Period February 1974-February 1975.

ERIC Educational Resources Information Center

Daniels, Richard W.; Alden, David G.

The feasibility of generalized approaches to training military personnel in the use of different types of sonar/acoustic warfare systems was explored. The initial phase of the project consisted of the analysis of representative sonar and acoustic equipment to identify training areas and operator performance requirements that could be subjected to…

Determinants and Developments of Employer Provided Training: Evidence from a Wage Compressed Environment

ERIC Educational Resources Information Center

Schone, Pal

2006-01-01

Using a representative employer-employee level dataset, this paper answers four questions: (1) What characterises employer provided training in Norway? (2) What characterises firms that invest heavily in employer provided training? (3) Is it the same firms that invest in employer provided all the time? (4) Has the level of employer provided…

Technological Change, Employment, Qualifications and Training. A Development of Concepts from a Conference Held in Berlin, November 24-26, 1982.

ERIC Educational Resources Information Center

Sorge, Arndt

A conference examined the socioeconomic challenges of technological and educational change throughout the European community. One hundred fifty representatives from a cross section of countries and agencies involved in education, training, and employment gathered to discuss the following themes: the transition from initial training to employment…

STS115 Preflight Training at NBL

NASA Image and Video Library

2006-08-02

JSC2006-E-31904 (2 Aug. 2006) --- Astronaut Steven G. MacLean (seated), STS-115 mission specialist representing the Canadian Space Agency, observes training activities of his crewmates from the simulation control area in the Neutral Buoyancy Laboratory (NBL) at the Sonny Carter Training Facility (SCTF) near Johnson Space Center. EVA instructor John V. Ray stands nearby to offer assistance.

Graded Assessment in Vocational Education and Training: An Analysis of National Practice, Drivers and Areas for Policy Development.

ERIC Educational Resources Information Center

Williams, Melanie; Bateman, Andrea

Practices and policies regarding graded assessment in vocational education and training (VET) in Australia were examined. Data were collected through a literature review; focus groups involving approximately 120 stakeholders in 5 states; interviews with 49 representatives of registered training organizations (RTOs); and surveys of RTOs, students,…

High Technology Product Training for Sales Representatives of Spectrum Healthcare Solutions and International Business Machines Corporation.

ERIC Educational Resources Information Center

Crystal, Enid

This report describes an application of the Instructional Systems Design (ISD) process to a product knowledge training project for Spectrum Healthcare Solutions, Inc., including the steps and substeps in the phases of analysis, design, development, implementation, and evaluation. The training project was designed to address the need for increased…

Effects of Training and Competition Load on Neuromuscular Recovery, Testosterone, Cortisol, and Match Performance During a Season of Professional Football

PubMed Central

Rowell, Amber E.; Aughey, Robert J.; Hopkins, William G.; Esmaeili, Alizera; Lazarus, Brendan H.; Cormack, Stuart J.

2018-01-01

Introduction: Training load and other measures potentially related to match performance are routinely monitored in team-sport athletes. The aim of this research was to examine the effect of training load on such measures and on match performance during a season of professional football. Materials and Methods: Training load was measured daily as session duration times perceived exertion in 23 A-League football players. Measures of exponentially weighted cumulative training load were calculated using decay factors representing time constants of 3–28 days. Players performed a countermovement jump for estimation of a measure of neuromuscular recovery (ratio of flight time to contraction time, FT:CT), and provided a saliva sample for measurement of testosterone and cortisol concentrations 1-day prior to each of 34 matches. Match performance was assessed via ratings provided by five coaching and fitness staff on a 5-point Likert scale. Effects of training load on FT:CT, hormone concentrations and match performance were modeled as quadratic predictors and expressed as changes in the outcome measure for a change in the predictor of one within-player standard deviation (1 SD) below and above the mean. Changes in each of five playing positions were assessed using standardization and magnitude-based inference. Results: The largest effects of training were generally observed in the 3- to 14-day windows. Center defenders showed a small reduction in coach rating when 14-day a smoothed load increased from −1 SD to the mean (-0.31, ±0.15; mean, ±90% confidence limits), whereas strikers and wide midfielders displayed a small increase in coach rating when load increased 1 SD above the mean. The effects of training load on FT:CT were mostly unclear or trivial, but effects of training load on hormones included a large increase in cortisol (102, ±58%) and moderate increase in testosterone (24, ±18%) in center defenders when 3-day smoothed training load increased 1 SD above the mean. A 1 SD increase in training load above the mean generally resulted in substantial reductions in testosterone:cortisol ratio. Conclusion: The effects of recent training on match performance and hormones in A-League football players highlight the importance of position-specific monitoring and training. PMID:29930514

Public and patient involvement in quantitative health research: A statistical perspective.

PubMed

Hannigan, Ailish

2018-06-19

The majority of studies included in recent reviews of impact for public and patient involvement (PPI) in health research had a qualitative design. PPI in solely quantitative designs is underexplored, particularly its impact on statistical analysis. Statisticians in practice have a long history of working in both consultative (indirect) and collaborative (direct) roles in health research, yet their perspective on PPI in quantitative health research has never been explicitly examined. To explore the potential and challenges of PPI from a statistical perspective at distinct stages of quantitative research, that is sampling, measurement and statistical analysis, distinguishing between indirect and direct PPI. Statistical analysis is underpinned by having a representative sample, and a collaborative or direct approach to PPI may help achieve that by supporting access to and increasing participation of under-represented groups in the population. Acknowledging and valuing the role of lay knowledge of the context in statistical analysis and in deciding what variables to measure may support collective learning and advance scientific understanding, as evidenced by the use of participatory modelling in other disciplines. A recurring issue for quantitative researchers, which reflects quantitative sampling methods, is the selection and required number of PPI contributors, and this requires further methodological development. Direct approaches to PPI in quantitative health research may potentially increase its impact, but the facilitation and partnership skills required may require further training for all stakeholders, including statisticians. © 2018 The Authors Health Expectations published by John Wiley & Sons Ltd.

Spending patterns in region of residency training and subsequent expenditures for care provided by practicing physicians for Medicare beneficiaries.

PubMed

Chen, Candice; Petterson, Stephen; Phillips, Robert; Bazemore, Andrew; Mullan, Fitzhugh

2014-12-10

Graduate medical education training may imprint young physicians with skills and experiences, but few studies have evaluated imprinting on physician spending patterns. To examine the relationship between spending patterns in the region of a physician's graduate medical education training and subsequent mean Medicare spending per beneficiary. Secondary multilevel multivariable analysis of 2011 Medicare claims data (Part A hospital and Part B physician) for a random, nationally representative sample of family medicine and internal medicine physicians completing residency between 1992 and 2010 with Medicare patient panels of 40 or more patients (2851 physicians providing care to 491,948 Medicare beneficiaries). Locations of practice and residency training were matched with Dartmouth Atlas Hospital Referral Region (HRR) files. Training and practice HRRs were categorized into low-, average-, and high-spending groups, with approximately equal distribution of beneficiary numbers. There were 674 physicians in low-spending training and low-spending practice HRRs, 180 in average-spending training/low-spending practice, 178 in high-spending training/low-spending practice, 253 in low-spending training/average-spending practice, 417 in average-spending training/average-spending practice, 210 in high-spending training/average-spending practice, 97 in low-spending training/high-spending practice, 275 in average-spending training/high-spending practice, and 567 in high-spending training/high-spending practice. Mean physician spending per Medicare beneficiary. For physicians practicing in high-spending regions, those trained in high-spending regions had a mean spending per beneficiary per year $1926 higher (95% CI, $889-$2963) than those trained in low-spending regions. For practice in average-spending HRRs, mean spending was $897 higher (95% CI, $71-$1723) for physicians trained in high- vs low-spending regions. For practice in low-spending HRRs, the difference across training HRR levels was not significant ($533; 95% CI, -$46 to $1112). After controlling for patient, community, and physician characteristics, there was a 7% difference (95% CI, 2%-12%) in patient expenditures between low- and high-spending training HRRs. Across all practice HRRs, this corresponded to an estimated $522 difference (95% CI, $146-$919) between low- and high-spending training regions. For physicians 1 to 7 years in practice, there was a 29% difference ($2434; 95% CI, $1004-$4111) in spending between those trained in low- and high-spending regions; however, after 16 to 19 years, there was no significant difference. Among general internists and family physicians who completed residency training between 1992 and 2010, the spending patterns in the HRR in which their residency program was located were associated with expenditures for subsequent care they provided as practicing physicians for Medicare beneficiaries. Interventions during residency training may have the potential to help control future health care spending.

40 CFR Appendix I to Part 261 - Representative Sampling Methods

Code of Federal Regulations, 2010 CFR

2010-07-01

... 40 Protection of Environment 25 2010-07-01 2010-07-01 false Representative Sampling Methods I...—Representative Sampling Methods The methods and equipment used for sampling waste materials will vary with the form and consistency of the waste materials to be sampled. Samples collected using the sampling...

40 CFR Appendix I to Part 261 - Representative Sampling Methods

Code of Federal Regulations, 2011 CFR

2011-07-01

... 40 Protection of Environment 26 2011-07-01 2011-07-01 false Representative Sampling Methods I...—Representative Sampling Methods The methods and equipment used for sampling waste materials will vary with the form and consistency of the waste materials to be sampled. Samples collected using the sampling...

The Job Training Partnership Act. Potential for Program Improvements but National Job Training Strategy Needed. Testimony before the Subcommittee on Employment, Housing, and Aviation, Committee on Government Operations, House of Representatives.

ERIC Educational Resources Information Center

Crawford, Clarence C.

This report records the testimony presented by Clarence C. Crawford, Associate Director, Education and Employment Issues, Human Resources, of the General Accounting Office, on the effectiveness of Title IIA of the Job Training Partnership Act (JTPA) in meeting the employment and training needs of economically disadvantaged adults and youth. His…

Reforming and Consolidating Federal Job Training Programs. Hearing on Examining Proposals To Reform and Consolidate Federal Job Training Programs, before the Committee on Labor and Human Resources. United States Senate, One Hundred Third Congress, Second Session.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Committee on Labor and Human Resources.

This hearing is a continuation of a bipartisan effort to consolidate, reform, and revitalize federally funded job training programs. Testimony includes statements of U.S. senators and individuals representing the following: National Association of State Job Training Coordinating Council and Human Resource Investment Council; American Federation of…

Evaluation of a Traffic Sign Detector by Synthetic Image Data for Advanced Driver Assistance Systems

NASA Astrophysics Data System (ADS)

Hanel, A.; Kreuzpaintner, D.; Stilla, U.

2018-05-01

Recently, several synthetic image datasets of street scenes have been published. These datasets contain various traffic signs and can therefore be used to train and test machine learning-based traffic sign detectors. In this contribution, selected datasets are compared regarding ther applicability for traffic sign detection. The comparison covers the process to produce the synthetic images and addresses the virtual worlds, needed to produce the synthetic images, and their environmental conditions. The comparison covers variations in the appearance of traffic signs and the labeling strategies used for the datasets, as well. A deep learning traffic sign detector is trained with multiple training datasets with different ratios between synthetic and real training samples to evaluate the synthetic SYNTHIA dataset. A test of the detector on real samples only has shown that an overall accuracy and ROC AUC of more than 95 % can be achieved for both a small rate of synthetic samples and a large rate of synthetic samples in the training dataset.

Dynamic stress effects in technical superconductors and the ''training'' problem of superconducting magnets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pasztor, G.; Schmidt, C.

The behavior of NbTi superconductors under dynamic mechanical stress was investigated. A training effect was found in short-sample tests when the conductor was strained in a magnetic field and with a transport current applied. Possible mechanisms are discussed which were proposed to explain training in short samples and in magnets. A stress-induced microplastic as well as an incomplete pseudoelastic behavior of NbTi was detected by monitoring acoustic emission. The experiments support the hypothesis that microplastic or shape memory effects in NbTi involving dislocation processes are responsible for training. The minimum energy needed to induce a normal transition in short-sample testsmore » is calculated with a computer program, which gives the exact solution of the heat equation. A prestrain treatment of the conductor at room temperature is shown to be a simple method of reducing training of short samples and of magnets. This is a direct proof that the same mechanisms are involved in both cases.« less

Morphological hippocampal markers for automated detection of Alzheimer's disease and mild cognitive impairment converters in magnetic resonance images.

PubMed

Ferrarini, Luca; Frisoni, Giovanni B; Pievani, Michela; Reiber, Johan H C; Ganzola, Rossana; Milles, Julien

2009-01-01

In this study, we investigated the use of hippocampal shape-based markers for automatic detection of Alzheimer's disease (AD) and mild cognitive impairment converters (MCI-c). Three-dimensional T1-weighted magnetic resonance images of 50 AD subjects, 50 age-matched controls, 15 MCI-c, and 15 MCI-non-converters (MCI-nc) were taken. Manual delineations of both hippocampi were obtained from normalized images. Fully automatic shape modeling was used to generate comparable meshes for both structures. Repeated permutation tests, run over a randomly sub-sampled training set (25 controls and 25 ADs), highlighted shape-based markers, mostly located in the CA1 sector, which consistently discriminated ADs and controls. Support vector machines (SVMs) were trained, using markers from either one or both hippocampi, to automatically classify control and AD subjects. Leave-1-out cross-validations over the remaining 25 ADs and 25 controls resulted in an optimal accuracy of 90% (sensitivity 92%), for markers in the left hippocampus. The same morphological markers were used to train SVMs for MCI-c versus MCI-nc classification: markers in the right hippocampus reached an accuracy (and sensitivity) of 80%. Due to the pattern recognition framework, our results statistically represent the expected performances of clinical set-ups, and compare favorably to analyses based on hippocampal volumes.

Internal Medicine Point-of-Care Ultrasound Curriculum: Consensus Recommendations from the Canadian Internal Medicine Ultrasound (CIMUS) Group.

PubMed

Ma, Irene W Y; Arishenkoff, Shane; Wiseman, Jeffrey; Desy, Janeve; Ailon, Jonathan; Martin, Leslie; Otremba, Mirek; Halman, Samantha; Willemot, Patrick; Blouw, Marcus

2017-09-01

Bedside point-of-care ultrasound (POCUS) is increasingly used to assess medical patients. At present, no consensus exists for what POCUS curriculum is appropriate for internal medicine residency training programs. This document details the consensus-based recommendations by the Canadian Internal Medicine Ultrasound (CIMUS) group, comprising 39 members, representing 14 institutions across Canada. Guiding principles for selecting curricular content were determined a priori. Consensus was defined as agreement by at least 80% of the members on POCUS applications deemed appropriate for teaching and assessment of trainees in the core (internal medicine postgraduate years [PGY] 1-3) and expanded (general internal medicine PGY 4-5) training programs. We recommend four POCUS applications for the core PGY 1-3 curriculum (inferior vena cava, lung B lines, pleural effusion, and abdominal free fluid) and three ultrasound-guided procedures (central venous catheterization, thoracentesis, and paracentesis). For the expanded PGY 4-5 curriculum, we recommend an additional seven applications (internal jugular vein, lung consolidation, pneumothorax, knee effusion, gross left ventricular systolic function, pericardial effusion, and right ventricular strain) and four ultrasound-guided procedures (knee arthrocentesis, arterial line insertion, arterial blood gas sampling, and peripheral venous catheterization). These recommendations will provide a framework for training programs at a national level.

Awareness of the Food and Drug Administration's Bad Ad Program and Education Regarding Pharmaceutical Advertising: A National Survey of Prescribers in Ambulatory Care Settings.

PubMed

O'Donoghue, Amie C; Boudewyns, Vanessa; Aikin, Kathryn J; Geisen, Emily; Betts, Kevin R; Southwell, Brian G

2015-01-01

The U.S. Food and Drug Administration's Bad Ad program educates health care professionals about false or misleading advertising and marketing and provides a pathway to report suspect materials. To assess familiarity with this program and the extent of training about pharmaceutical marketing, a sample of 2,008 health care professionals, weighted to be nationally representative, responded to an online survey. Approximately equal numbers of primary care physicians, specialists, physician assistants, and nurse practitioners answered questions concerning Bad Ad program awareness and its usefulness, as well as their likelihood of reporting false or misleading advertising, confidence in identifying such advertising, and training about pharmaceutical marketing. Results showed that fewer than a quarter reported any awareness of the Bad Ad program. Nonetheless, a substantial percentage (43%) thought it seemed useful and 50% reported being at least somewhat likely to report false or misleading advertising in the future. Nurse practitioners and physician assistants expressed more openness to the program and reported receiving more training about pharmaceutical marketing. Bad Ad program awareness is low, but opportunity exists to solicit assistance from health care professionals and to help health care professionals recognize false and misleading advertising. Nurse practitioners and physician assistants are perhaps the most likely contributors to the program.

Knowledge and confidence of a convenience sample of australasian emergency doctors in managing dental emergencies: results of a survey.

PubMed

Samaei, Hossein; Weiland, Tracey Joy; Dilley, Stuart; Jelinek, George Alexander

2015-01-01

Background. We aimed to determine Australasian Specialist Emergency Physicians' and Emergency Physicians in Training (Trainees') level of knowledge of common dental emergencies. We also explored confidence in managing dental emergencies; predictors of confidence and knowledge; and preferences for further dental education. Methods. A questionnaire was distributed electronically (September 2011) and directly (November 2011) to Fellows and Trainees of the Australasian College for Emergency Medicine. It explored demographics, confidence, knowledge of dental emergencies, and educational preferences. Results. Response rate was 13.6% (464/3405) and college members were proportionally represented by region. Fewer than half (186/446; 42%) had received dental training. Sixty-two percent (244/391, 95% CI 57.5-67.1) passed (>50%) a knowledge test. More than 60% incorrectly answered questions on dental fracture, periodontal abscess, tooth eruption dates, and ulcerative gingivitis. Forty percent (166/416) incorrectly answered a question about Ludwig's Angina. Eighty-three percent (360/433) were confident in the pharmacological management of toothache but only 26% (112/434) confident in recognizing periodontal disease. Knowledge was correlated with confidence (r = 0.488). Interactive workshops were preferred by most (386/415, 93%). Conclusions. The knowledge and confidence of Australasian Emergency Physicians and Trainees in managing dental emergencies are varied, yet correlated. Interactive training sessions in dental emergencies are warranted.

ANALYSIS RESULTS FOR BUILDING 241 702-AZ A TRAIN

DOE Office of Scientific and Technical Information (OSTI.GOV)

DUNCAN JB; FRYE JM; COOKE CA

2006-12-13

This report presents the analyses results for three samples obtained under RPP-PLAN-28509, Sampling and Analysis Plan for Building 241 702-AZ A Train. The sampling and analysis was done in response to problem evaluation request number PER-2004-6139, 702-AZ Filter Rooms Need Radiological Cleanup Efforts.

The effects of Crew Resource Mangement (CRM) training in airline maintenance: Results following three years' experience

NASA Technical Reports Server (NTRS)

Taylor, J. C.; Robertson, M. M.

1995-01-01

This report describes three years' evaluation of the effects of one airline's Crew Resources Management (CRM) training operation for maintenance. This evaluation focuses on the post-training attitudes of maintenance managers' and technical support professionals, their reported behaviors, and the safety, efficiency and dependable maintenance performance of their units. The results reveal a strong positive effect of the training. The overall program represents the use of CRM training as a long-term commitment to improving performance through effective communication at all levels in airline maintenance operations. The initial findings described in our previous progress reports are reinforced and elaborated here. The current results benefit from the entire pre-post training survey, which now represents total attendance of all managers and staff professionals. Additionally there are now full results from the two-month, six-month, and 12-month follow-up questionnaires, together with as many as 33 months of post-training performance data, using several indicators. In this present report, we examine participants' attitudes, their reported behaviors following the training, the performance of their work units, and the relationships among these variables. Attitudes include those measured immediately before and after the training as well as participants' attitudes months after their training. Performance includes measures, by work units, of on-time flight departures, on-schedule maintenance releases, occupational and aircraft safety, and efficient labor costs. We report changes in these performance measures following training, as well their relationships with the training participants' attitudes. Highlights of results from this training program include increased safety and improved costs associated with positive attitudes about the use of more assertive communication, and the improved management of stress. Improved on-time performance is also related to those improved attitudes, as well as favorable attitudes about participative management.

[Guidelines for Trainings in Inter-/Transcultural Competence for Psychotherapists].

PubMed

von Lersner, Ulrike; Baschin, Kirsten; Wormeck, Imke; Mösko, Mike Oliver

2016-02-01

The ongoing globalization leads to the fact that intercultural aspects are becoming more important in recent years. Unfortunately, the psychosocial sector in general as well as psychotherapists in particular are not sufficiently trained for those issues. In the German speaking countries so far there were no guidelines for the conceptualization of intercultural trainings for psychotherapists. In the present study guidelines for trainings of inter-/transcultural competence of medical and psychological psychotherapists have been developed. An extensive data base was collected including a systematic international literature research, qualitative expert interviews, a quantitative survey among therapists and 8 focus groups with clients as well as therapists from different cultural backgrounds. The guidelines for trainings were then extracted in a 2-step consensus procedure. The guidelines define learning objectives which should be achieved in a training. They also describe the structural as well as substantive requirements which should be met in such a training. In addition to knowledge on cultural issues that should be acquired in a training the guidelines put high emphasis on the self reflection of training participants on their own cultural embededness as well as on the aquisition of culturally sensitive skills. Regarding demographic trends in Germany trainings for intercultural competence should become an obligatory element in the training of psychotherapists. The guidelines represent a high-quality base for the conceptualization as well as the evaluation of such trainings. The guidelines developed here represent an instrument for the improvement of the training of therapists in Germany in the field of transcultural psychology. In the long term they could contribute to the intercultural opening of the German mental health system and improve the quality of psychotherapeutical treatment of migrants in Germany. © Georg Thieme Verlag KG Stuttgart · New York.

Representative Stall Model of Regional Aircraft for Simulator Training Using a Spline Shape Prescriptive Modeling Approach

NASA Astrophysics Data System (ADS)

Zhang, Tony S.

Loss-of-control following aerodynamic stall remains the largest contributor to fatal civil aviation accidents. Aerodynamic models past stall are required to train pilots on stall recovery techniques using ground-based simulators, which are safe, inexpensive, and accessible. A methodology for creating representative stall models, which capture essential stall characteristics, is being developed for classes of twin-turboprop commuter and twin-engine regional jet aircraft. Despite having lower fidelity than type specific stall models generated from wind tunnel, flight test, and/or CFD studies data, these models are configuration adjustable and significantly cheaper to construct for high angle-of-attack regimes. Baseline specific stall models are modified to capture changes in aerodynamic coefficients due to configuration variations from a baseline to a target aircraft. A Shape Prescriptive Modeling approach combining existing theory and data using least-squares splines is used to make coefficient change predictions. Initial results are satisfactory and suggest that representative models are suitable for stall training.

[Implementation of a safety and health planning system in a teaching hospital].

PubMed

Mariani, F; Bravi, C; Dolcetti, L; Moretto, A; Palermo, A; Ronchin, M; Tonelli, F; Carrer, P

2007-01-01

University Hospital "L. Sacco" had started in 2006 a two-year project in order to set up a "Health and Safety Management System (HSMS)" referring to the technical guideline OHSAS 18001:1999 and the UNI and INAIL "Guidelines for a health and safety management system at workplace". So far, the following operations had been implemented: Setting up of a specific Commission within the Risk Management Committee; Identification and appointment of Departmental Representatives of HSMS; Carrying out of a training course addressed to Workers Representatives for Safety and Departmental Representatives of HSMS; Development of an Integrated Informative System for Prevention and Safety; Auditors qualification; Inspection of the Occupational Health Unit and the Prevention and Safety Service: reporting of critical situations and monitoring solutions adopted. Short term objectives are: Self-evaluation through check-lists of each department; Sharing of the Improvement Plan among the departments of the hospital; Planning of Health and Safety training activities in the framework of the Hospital Training Plan; Safety audit.

21 CFR 111.80 - What representative samples must you collect?

Code of Federal Regulations, 2010 CFR

2010-04-01

... Process Control System § 111.80 What representative samples must you collect? The representative samples... unique lot within each unique shipment); (b) Representative samples of in-process materials for each manufactured batch at points, steps, or stages, in the manufacturing process as specified in the master...

Community pharmacist knowledge, attitudes and confidence regarding naloxone for overdose reversal.

PubMed

Nielsen, Suzanne; Menon, Nadia; Larney, Sarah; Farrell, Michael; Degenhardt, Louisa

2016-12-01

Given the potential to expand naloxone supply through community pharmacy, the aim of this study was to estimate Australian pharmacists': (1) level of support for overdose prevention, (2) barriers and facilitators for naloxone supply and (3) knowledge about naloxone administration. Online survey from nationally representative sample of community pharmacies. Australia, September-November 2015. A total of 1317 community pharmacists were invited to participate with 595 responses (45.1%). We assessed attitudes towards harm reduction, support for overdose prevention, attitudes and knowledge about naloxone. We tested the association between attitudes towards harm reduction and different aspects of naloxone supply. Pharmacists were willing to receive training about naloxone (n = 479, 80.5%) and provide naloxone with a prescription (n = 537, 90.3%). Fewer (n = 234, 40.8%) were willing to supply naloxone over-the-counter. Positive attitudes towards harm reduction were associated with greater willingness to supply naloxone with a prescription [odds ratio (OR) = 1.15, 95% confidence interval (CI) = 1.11-1.19] and over-the-counter (OR = 1.13, 95% CI = 1.09-1.17). Few pharmacists were confident they could identify appropriate patients (n = 203, 34.1%) and educate them on overdose and naloxone use (n = 190, 31.9%). Mean naloxone knowledge scores were 1.8 (standard deviation 1.7) out of 5. More than half the sample identified lack of time, training, knowledge and reimbursement as potential barriers for naloxone provision. Community pharmacists in Australia appear to be willing to supply naloxone. Low levels of knowledge about naloxone pharmacology and administration highlight the importance of training pharmacists about overdose prevention. © 2016 Society for the Study of Addiction.

LTRC 2008 peer exchange : final report.

DOT National Transportation Integrated Search

2008-05-01

The Louisiana Transportation Research Center (LTRC) hosted a peer exchange on May 13 15, 2008, in Baton Rouge, Louisiana. Representatives from five state DOTs joined representatives from LTRC and FHWA-Louisiana at LTRCs Transportation Training...

Mexican Pharmacies and Antibiotic Consumption at the US-Mexico Border.

PubMed

Homedes, Núria; Ugalde, Antonio

2012-12-01

To study antibiotic dispensing to US and Mexican residents, at Mexican pharmacies at the US-Mexico border, and the pharmacy clerks' capability to promote appropriate use. The site selected was Ciudad Juarez, Chihuahua (pop. 1.2 million) separated from El Paso, Texas (pop. 800,000) by the Rio Grande River. A convenience sample of 32 pharmacies located near the international bridges, major shopping centers, and interior neighborhoods was selected. Pharmacy clients were interviewed (n=230) and 152 interactions between clients and pharmacy clerks were observed. Information was obtained about education and pharmaceutical training of 113 clerks working in 25 pharmacies. A senior pharmacy clerk in each of the 25 pharmacies was interviewed and asked for their recommendations to clients presenting two clinical scenarios and seven diagnoses. Professionally trained pharmacists only spend a few hours a week in some pharmacies. Clerks' education levels are very low; some have only completed primary education. There is no required pharmaceutical training and their knowledge about pharmaceuticals comes mostly from representatives of the pharmaceutical industry. Clerks' knowledge of antibiotics, the most frequently sold class of medicines (65% without prescription), is very limited. Clients trust pharmacy clerks and tend to follow their advice. The findings raise concerns about dispensing of antibiotics at Mexican border pharmacies and antibiotic overuse due to lack of control. Because inappropriate antibiotic use contributes to increased resistance, pharmacy clerks should receive independent training to dispense antibiotics and promote their appropriate use.

Mexican Pharmacies and Antibiotic Consumption at the US-Mexico Border

PubMed Central

Homedes, Núria; Ugalde, Antonio

2012-01-01

Objective: To study antibiotic dispensing to US and Mexican residents, at Mexican pharmacies at the US-Mexico border, and the pharmacy clerks’ capability to promote appropriate use. Methods: The site selected was Ciudad Juarez, Chihuahua (pop. 1.2 million) separated from El Paso, Texas (pop. 800,000) by the Rio Grande River. A convenience sample of 32 pharmacies located near the international bridges, major shopping centers, and interior neighborhoods was selected. Pharmacy clients were interviewed (n=230) and 152 interactions between clients and pharmacy clerks were observed. Information was obtained about education and pharmaceutical training of 113 clerks working in 25 pharmacies. A senior pharmacy clerk in each of the 25 pharmacies was interviewed and asked for their recommendations to clients presenting two clinical scenarios and seven diagnoses. Findings: Professionally trained pharmacists only spend a few hours a week in some pharmacies. Clerks’ education levels are very low; some have only completed primary education. There is no required pharmaceutical training and their knowledge about pharmaceuticals comes mostly from representatives of the pharmaceutical industry. Clerks’ knowledge of antibiotics, the most frequently sold class of medicines (65% without prescription), is very limited. Clients trust pharmacy clerks and tend to follow their advice. Conclusions: The findings raise concerns about dispensing of antibiotics at Mexican border pharmacies and antibiotic overuse due to lack of control. Because inappropriate antibiotic use contributes to increased resistance, pharmacy clerks should receive independent training to dispense antibiotics and promote their appropriate use. PMID:23532456

Training practices of cell processing laboratory staff: analysis of a survey by the Alliance for Harmonization of Cellular Therapy Accreditation.

PubMed

Keever-Taylor, Carolyn A; Slaper-Cortenbach, Ineke; Celluzzi, Christina; Loper, Kathy; Aljurf, Mahmoud; Schwartz, Joseph; Mcgrath, Eoin; Eldridge, Paul

2015-12-01

Methods for processing products used for hematopoietic progenitor cell (HPC) transplantation must ensure their safety and efficacy. Personnel training and ongoing competency assessment is critical to this goal. Here we present results from a global survey of methods used by a diverse array of cell processing facilities for the initial training and ongoing competency assessment of key personnel. The Alliance for Harmonisation of Cellular Therapy Accreditation (AHCTA) created a survey to identify facility type, location, activity, personnel, and methods used for training and competency. A survey link was disseminated through organizations represented in AHCTA to processing facilities worldwide. Responses were tabulated and analyzed as a percentage of total responses and as a percentage of response by region group. Most facilities were based at academic medical centers or hospitals. Facilities with a broad range of activity, product sources and processing procedures were represented. Facilities reported using a combination of training and competency methods. However, some methods predominated. Cellular sources for training differed for training versus competency and also differed based on frequency of procedures performed. Most facilities had responsibilities for procedures in addition to processing for which training and competency methods differed. Although regional variation was observed, training and competency requirements were generally consistent. Survey data showed the use of a variety of training and competency methods but some methods predominated, suggesting their utility. These results could help new and established facilities in making decisions for their own training and competency programs. Copyright © 2015 International Society for Cellular Therapy. Published by Elsevier Inc. All rights reserved.

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

PubMed

Song, Hongchao; Jiang, Zhuqing; Men, Aidong; Yang, Bo

2017-01-01

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

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

PubMed Central

Jiang, Zhuqing; Men, Aidong; Yang, Bo

2017-01-01

Anomaly detection, which aims to identify observations that deviate from a nominal sample, is a challenging task for high-dimensional data. Traditional distance-based anomaly detection methods compute the neighborhood distance between each observation and suffer from the curse of dimensionality in high-dimensional space; for example, the distances between any pair of samples are similar and each sample may perform like an outlier. In this paper, we propose a hybrid semi-supervised anomaly detection model for high-dimensional data that consists of two parts: a deep autoencoder (DAE) and an ensemble k-nearest neighbor graphs- (K-NNG-) based anomaly detector. Benefiting from the ability of nonlinear mapping, the DAE is first trained to learn the intrinsic features of a high-dimensional dataset to represent the high-dimensional data in a more compact subspace. Several nonparametric KNN-based anomaly detectors are then built from different subsets that are randomly sampled from the whole dataset. The final prediction is made by all the anomaly detectors. The performance of the proposed method is evaluated on several real-life datasets, and the results confirm that the proposed hybrid model improves the detection accuracy and reduces the computational complexity. PMID:29270197

A Simplified Approach to Job Analysis. Part 2. The Means of Validation

ERIC Educational Resources Information Center

Thomas, D. B.; Costley, J. M.

1969-01-01

A representative of the Royal Air Force School of Education and a Field Training Advisor to the Civil Air Transport Industry Training Board continue the description of their simplified approach to job analysis. (LY)

Expedition 11 Preflight training

NASA Image and Video Library

2004-06-24

JSC2004-E-26778 (24 June 2004) --- Cosmonaut Sergei K. Krikalev, Expedition 11 commander representing Russia’s Federal Space Agency, participates in medical training at Johnson Space Center (JSC). Space Medicine Instructor Tyler N. Carruth with Wyle Life Sciences assisted Krikalev.

E3 Success Story - Whirlpool Trains Staff on Lean and Green Advantage

EPA Pesticide Factsheets

Whirlpool Corporation invited Green Suppliers Network representatives to its Monterrey facility to provide training on the Lean and Green Advantage. The project sought to expand E3 initiatives to every part of the company's operations.

Wind Energy Applications and Training Symposium

NASA Astrophysics Data System (ADS)

Sixteen representatives from 11 developing nations participated in the 1990 Wind Energy Applications and Training Symposium (WEATS) program. Consistent with previous symposia, the format included classroom-style training and field trip experiences to acquaint the participants with the history and progress of wind energy development in the U.S., technologically and economically. Brief presentations about wind energy development in all the countries represented were made by the participants. Several reports were prepared and presented along with slides for further explanation. The one-on-one symposium wrap-up session on the last day continues to be a good method of discovering what can be the next step in working with each country to develop their wind energy potential. Seventeen papers have been indexed separately for inclusion on the data base.

Maturity status and injury risk in youth soccer players.

PubMed

Malina, Robert M

2010-03-01

To investigate the association of relative skeletal age and other risk factors with injury in elite schoolboy footballers (soccer players). Prospective cohort study, with players participating for varying numbers of years. Manchester United Football Club Academy, 2001 to 2007. Players were recruited to the club by scouts. At intake, the boys were medically screened to ensure they could be fully involved in the training and games program. Computerized medical records for the boys were maintained for the entire study period. The investigation included boys 9 to 16 years of age. Numbers varied between 98 and 144 per year (mean n/y = 130) over 6 years. Overall, 292 players were represented in the sample. Mean drop out per season was 21%. Each year consenting players had a radiograph of the left wrist and hand for the assessment of skeletal age (SA), using the Fels method. Eighty-five players had at least 1 radiograph and 12 players had 6 radiographs, 1 in each year of the study. Early and late maturers were those with an SA >1 year older or younger, respectively, than their chronologic age (CA). Information on demographics, height and weight, playing and training times, and position played was collected. The main outcome measure was the relation of maturity status to the occurrence of injuries. For the total sample across all the age groups the incidence of injuries was 1.44 per 1000 hours of training (n = 244 injuries), and 10.5 per 1000 match hours (n = 169 injuries). The mean number of injuries per season was 79.3, with a mean loss of 12.5 injury days per player per season. Boys aged <14 years were most vulnerable. Most injuries resulted from overuse rather than from trauma. Most common injury type and location were, respectively, soft tissue and knee joint. Mean SA for the total sample was in advance of mean CA (12.08y vs 11.74y; P < 0.05). Injury incidence did not differ significantly among late, normal, and early maturing players (1.4, 1.5, and 1.8, respectively) when training time, playing time, height, and playing position were statistically controlled as covariates (P = 0.73). However, results of general log linear analysis of mean data over the 6 seasons indicated a relationship between injury occurrence and training time, match-play time, and the CA-SA difference (P < 0.05). The 3 variables together explained 48% of the variance in injury incidence. Position played, foot dominance, and mean height gain were not related to injury occurrence. Maturity status and time spent in match play and training were significant predictors of injuries in 9- to 16-year-old elite male soccer players.

Dissociation During Intense Military Stress is Related to Subsequent Somatic Symptoms in Women

PubMed Central

Steffian, Lisa; Steffian, George; Doran, Anthony P.; Rasmusson, Ann M.; Morgan, CA

2007-01-01

Background: Research studies of the female response to intense stress are under-represented in the scientific literature; indeed, publications in female humans and animals number half those in male subjects. In addition, women have only recently entered more dangerous professions that were historically limited to men. The US Navy's survival course, therefore, offers a unique opportunity to examine, in a controlled manner, individual differences in the human female response to acute and realistic military stress. Method: The current study assessed the nature and prevalence of dissociative symptoms and other aspects of adaptive function in healthy female subjects experiencing acute, intense stress during US Navy survival training. Cognitive dissociation and previous exposure to traumatic events were assessed at baseline in 32 female service members prior to Navy survival training. At the conclusion of training, retrospectively rated levels of dissociation during peak training stress and current health symptoms were assessed. Results: Female subjects reported previous trauma (35%) and at least one symptom of dissociation at baseline prior to training (47%). Eighty-eight percent of subjects reported experiencing multiple symptoms of dissociation during peak training stress. Post-stress dissociation scores and stress-induced increases in dissociation, as well as prior cumulative exposure to potentially traumatic events, were significant predictors of post-stress health symptoms. Discussion: In this study, increases in dissociative symptoms during intense training stress, post-stress dissociation symptom levels, and prior cumulative exposure to stressful, potentially traumatic events predicted post-stress health symptoms in women. Prior studies in men have demonstrated correlations between neurobiological responses to stress and stress-associated levels of dissociation. Thus future studies in larger samples of women are needed to investigate the relationship between prior stress exposure, alterations in neurobiological responses to stress and potentially related alterations in neuropsychological and physical reactions to stress. PMID:20805901

Sparse representation based SAR vehicle recognition along with aspect angle.

PubMed

Xing, Xiangwei; Ji, Kefeng; Zou, Huanxin; Sun, Jixiang

2014-01-01

As a method of representing the test sample with few training samples from an overcomplete dictionary, sparse representation classification (SRC) has attracted much attention in synthetic aperture radar (SAR) automatic target recognition (ATR) recently. In this paper, we develop a novel SAR vehicle recognition method based on sparse representation classification along with aspect information (SRCA), in which the correlation between the vehicle's aspect angle and the sparse representation vector is exploited. The detailed procedure presented in this paper can be summarized as follows. Initially, the sparse representation vector of a test sample is solved by sparse representation algorithm with a principle component analysis (PCA) feature-based dictionary. Then, the coefficient vector is projected onto a sparser one within a certain range of the vehicle's aspect angle. Finally, the vehicle is classified into a certain category that minimizes the reconstruction error with the novel sparse representation vector. Extensive experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) dataset and the results demonstrate that the proposed method performs robustly under the variations of depression angle and target configurations, as well as incomplete observation.

Estimating the circuit delay of FPGA with a transfer learning method

NASA Astrophysics Data System (ADS)

Cui, Xiuhai; Liu, Datong; Peng, Yu; Peng, Xiyuan

2017-10-01

With the increase of FPGA (Field Programmable Gate Array, FPGA) functionality, FPGA has become an on-chip system platform. Due to increase the complexity of FPGA, estimating the delay of FPGA is a very challenge work. To solve the problems, we propose a transfer learning estimation delay (TLED) method to simplify the delay estimation of different speed grade FPGA. In fact, the same style different speed grade FPGA comes from the same process and layout. The delay has some correlation among different speed grade FPGA. Therefore, one kind of speed grade FPGA is chosen as a basic training sample in this paper. Other training samples of different speed grade can get from the basic training samples through of transfer learning. At the same time, we also select a few target FPGA samples as training samples. A general predictive model is trained by these samples. Thus one kind of estimation model is used to estimate different speed grade FPGA circuit delay. The framework of TRED includes three phases: 1) Building a basic circuit delay library which includes multipliers, adders, shifters, and so on. These circuits are used to train and build the predictive model. 2) By contrasting experiments among different algorithms, the forest random algorithm is selected to train predictive model. 3) The target circuit delay is predicted by the predictive model. The Artix-7, Kintex-7, and Virtex-7 are selected to do experiments. Each of them includes -1, -2, -2l, and -3 different speed grade. The experiments show the delay estimation accuracy score is more than 92% with the TLED method. This result shows that the TLED method is a feasible delay assessment method, especially in the high-level synthesis stage of FPGA tool, which is an efficient and effective delay assessment method.

Selection of appropriate training and validation set chemicals for modelling dermal permeability by U-optimal design.

PubMed

Xu, G; Hughes-Oliver, J M; Brooks, J D; Yeatts, J L; Baynes, R E

2013-01-01

Quantitative structure-activity relationship (QSAR) models are being used increasingly in skin permeation studies. The main idea of QSAR modelling is to quantify the relationship between biological activities and chemical properties, and thus to predict the activity of chemical solutes. As a key step, the selection of a representative and structurally diverse training set is critical to the prediction power of a QSAR model. Early QSAR models selected training sets in a subjective way and solutes in the training set were relatively homogenous. More recently, statistical methods such as D-optimal design or space-filling design have been applied but such methods are not always ideal. This paper describes a comprehensive procedure to select training sets from a large candidate set of 4534 solutes. A newly proposed 'Baynes' rule', which is a modification of Lipinski's 'rule of five', was used to screen out solutes that were not qualified for the study. U-optimality was used as the selection criterion. A principal component analysis showed that the selected training set was representative of the chemical space. Gas chromatograph amenability was verified. A model built using the training set was shown to have greater predictive power than a model built using a previous dataset [1].

Students' Perceptions on an Interprofessional Ward Round Training - A Qualitative Pilot Study.

PubMed

Nikendei, C; Huhn, D; Pittius, G; Trost, Y; Bugaj, T J; Koechel, A; Schultz, J-H

2016-01-01

Ward rounds are an essential activity for interprofessional teams in hospital settings and represent complex tasks requiring not only medical knowledge but also communication skills, clinical technical skills, patient management skills and team-work skills. The present study aimed to analyse final year students', nurses' as well as physiotherapists' views on a simulation-based interprofessional ward round training. In two successive passes a total number of 29 final year students, nursing students and physiotherapy students (16 in the first run, 13 in the second) volunteered to participate in two standardized patient ward round scenarios: (1) patient with myocardial infarction, and (2) patient with poorly controlled diabetes. Views on the interprofessional ward round training were assessed using focus groups. Focus group based feedback contained two main categories (A) ward round training benefits and (B) difficulties. Positive aspects enfolded course preparation, setting of the training, the involvement of the participants during training and the positive learning atmosphere. Difficulties were seen in the flawed atmosphere and realization of ward rounds in the daily clinical setting with respect to inter-professional aspects, and course benefit for the different professional groups. The presented inter-professional ward round training represents a well received and valuable model of interprofessional learning. Further research should assess its effectiveness, processes of interprofessional interplay and transfer into clinical practice.

Three-Dimensional Dynamic Analyses of Track-Embankment-Ground System Subjected to High Speed Train Loads

PubMed Central

2014-01-01

A three-dimensional finite element model was developed to investigate dynamic response of track-embankment-ground system subjected to moving loads caused by high speed trains. The track-embankment-ground systems such as the sleepers, the ballast, the embankment, and the ground are represented by 8-noded solid elements. The infinite elements are used to represent the infinite boundary condition to absorb vibration waves induced by the passing of train load at the boundary. The loads were applied on the rails directly to simulate the real moving loads of trains. The effects of train speed on dynamic response of the system are considered. The effect of material parameters, especially the modulus changes of ballast and embankment, is taken into account to demonstrate the effectiveness of strengthening the ballast, embankment, and ground for mitigating system vibration in detail. The numerical results show that the model is reliable for predicting the amplitude of vibrations produced in the track-embankment-ground system by high-speed trains. Stiffening of fill under the embankment can reduce the vibration level, on the other hand, it can be realized by installing a concrete slab under the embankment. The influence of axle load on the vibration of the system is obviously lower than that of train speed. PMID:24723838

Three-dimensional dynamic analyses of track-embankment-ground system subjected to high speed train loads.

PubMed

Fu, Qiang; Zheng, Changjie

2014-01-01

A three-dimensional finite element model was developed to investigate dynamic response of track-embankment-ground system subjected to moving loads caused by high speed trains. The track-embankment-ground systems such as the sleepers, the ballast, the embankment, and the ground are represented by 8-noded solid elements. The infinite elements are used to represent the infinite boundary condition to absorb vibration waves induced by the passing of train load at the boundary. The loads were applied on the rails directly to simulate the real moving loads of trains. The effects of train speed on dynamic response of the system are considered. The effect of material parameters, especially the modulus changes of ballast and embankment, is taken into account to demonstrate the effectiveness of strengthening the ballast, embankment, and ground for mitigating system vibration in detail. The numerical results show that the model is reliable for predicting the amplitude of vibrations produced in the track-embankment-ground system by high-speed trains. Stiffening of fill under the embankment can reduce the vibration level, on the other hand, it can be realized by installing a concrete slab under the embankment. The influence of axle load on the vibration of the system is obviously lower than that of train speed.

Discovering Deeply Divergent RNA Viruses in Existing Metatranscriptome Data with Machine Learning

NASA Astrophysics Data System (ADS)

Rivers, A. R.

2016-02-01

Most sampling of RNA viruses and phages has been directed toward a narrow range of hosts and environments. Several marine metagenomic studies have examined the RNA viral fraction in aquatic samples and found a number of picornaviruses and uncharacterized sequences. The lack of homology to known protein families has limited the discovery of new RNA viruses. We developed a computational method for identifying RNA viruses that relies on information in the codon transition probabilities of viral sequences to train a classifier. This approach does not rely on homology, but it has higher information content than other reference-free methods such as tetranucleotide frequency. Training and validation with RefSeq data gave true positive and true negative rates of 99.6% and 99.5% on the highly imbalanced validation sets (0.2% viruses) that, like the metatranscriptomes themselves, contain mostly non-viral sequences. To further test the method, a validation dataset of putative RNA virus genomes were identified in metatransciptomes by the presence of RNA dependent RNA polymerase, an essential gene for RNA viruses. The classifier successfully identified 99.4% of those contigs as viral. This approach is currently being extended to screen all metatranscriptome data sequenced at the DOE Joint Genome Institute, presently 4.5 Gb of assembled data from 504 public projects representing a wide range of marine, aquatic and terrestrial environments.

Effect of finite sample size on feature selection and classification: a simulation study.

PubMed

Way, Ted W; Sahiner, Berkman; Hadjiiski, Lubomir M; Chan, Heang-Ping

2010-02-01

The small number of samples available for training and testing is often the limiting factor in finding the most effective features and designing an optimal computer-aided diagnosis (CAD) system. Training on a limited set of samples introduces bias and variance in the performance of a CAD system relative to that trained with an infinite sample size. In this work, the authors conducted a simulation study to evaluate the performances of various combinations of classifiers and feature selection techniques and their dependence on the class distribution, dimensionality, and the training sample size. The understanding of these relationships will facilitate development of effective CAD systems under the constraint of limited available samples. Three feature selection techniques, the stepwise feature selection (SFS), sequential floating forward search (SFFS), and principal component analysis (PCA), and two commonly used classifiers, Fisher's linear discriminant analysis (LDA) and support vector machine (SVM), were investigated. Samples were drawn from multidimensional feature spaces of multivariate Gaussian distributions with equal or unequal covariance matrices and unequal means, and with equal covariance matrices and unequal means estimated from a clinical data set. Classifier performance was quantified by the area under the receiver operating characteristic curve Az. The mean Az values obtained by resubstitution and hold-out methods were evaluated for training sample sizes ranging from 15 to 100 per class. The number of simulated features available for selection was chosen to be 50, 100, and 200. It was found that the relative performance of the different combinations of classifier and feature selection method depends on the feature space distributions, the dimensionality, and the available training sample sizes. The LDA and SVM with radial kernel performed similarly for most of the conditions evaluated in this study, although the SVM classifier showed a slightly higher hold-out performance than LDA for some conditions and vice versa for other conditions. PCA was comparable to or better than SFS and SFFS for LDA at small samples sizes, but inferior for SVM with polynomial kernel. For the class distributions simulated from clinical data, PCA did not show advantages over the other two feature selection methods. Under this condition, the SVM with radial kernel performed better than the LDA when few training samples were available, while LDA performed better when a large number of training samples were available. None of the investigated feature selection-classifier combinations provided consistently superior performance under the studied conditions for different sample sizes and feature space distributions. In general, the SFFS method was comparable to the SFS method while PCA may have an advantage for Gaussian feature spaces with unequal covariance matrices. The performance of the SVM with radial kernel was better than, or comparable to, that of the SVM with polynomial kernel under most conditions studied.

Does On-the-Job Training Improve an Employee's Job Performance?

ERIC Educational Resources Information Center

Duff, Juanita

A study examined the link between on-the-job training (OJT) and job performance in a randomly selected sample of 50 skilled maintenance craftpersons employed by the city of Chicago. The sample was identified from the training sheets signed by 160 employees who participated in OJT in a 1-month period. The majority of the employees agreed with…

The Role of the Social Partners in Vocational Education and Training, Including Continuing Education and Training, in Ireland.

ERIC Educational Resources Information Center

Murphy, Timothy; Coldrick, Arthur J.

This document is the result of the analysis of reports and the conduct of interviews with representatives of the social partners (employers, employers' organizations, and unions), education and training agencies, and other relevant agencies in Ireland. The document consists of four parts and a bibliography. The first part describes vocational…

STS-115 Vitual Lab Training

NASA Image and Video Library

2005-06-07

JSC2005-E-21191 (7 June 2005) --- Astronaut Steven G. MacLean, STS-115 mission specialist representing the Canadian Space Agency, uses the virtual reality lab at the Johnson Space Center to train for his duties aboard the space shuttle. This type of computer interface, paired with virtual reality training hardware and software, helps to prepare the entire team for dealing with space station elements.

Training and Economic Development: The Impact of Industry-Specific Training on Business and the Economy of New York State.

ERIC Educational Resources Information Center

New York State Education Dept., Albany. Office of Occupational and Continuing Education.

A study examined approximately 130 projects that were conducted in New York between November 1980 and December 1983 as a part of the state's Short-Term Program for Economic Development. During the study, researchers interviewed representatives of the businesses, industries, unions, and educational institutions involved in the training programs in…

Cues-Pause-Point Language Training: Teaching Echolalics Functional Use of Their Verbal Labeling Repertoires.

ERIC Educational Resources Information Center

McMorrow, Martin J.; And Others

1987-01-01

A cues-pause-point procedure was used to train two severely retarded females to remain quiet before, during, and briefly after the presentation of questions and then to verbalize on the basis of environmental cues whose labels represented the correct responses. Echolalia was rapidly replaced by correct responding on the trained stimuli. (Author/JW)

A STUDY OF THE APPLICATION OF LABORATORY TRAINING METHODS TO PROGRAMS AT AIR UNIVERSITY (OCTOBER 1964-JULY 1965).

ERIC Educational Resources Information Center

BOYER, RONALD K.; AND OTHERS

THIS 1964-65 STUDY SOUGHT TO EXPLORE APPLICATIONS OF LABORATORY TRAINING TO AIR UNIVERSITY PROGRAMS, TO PREDICT PROBLEMS IN ADAPTING THE LABORATORY METHOD TO SUCH PROGRAMS, AND TO DETERMINE USEFUL MODIFICATIONS THAT MIGHT BE MADE IN TRAINING DESIGNS. A GROUP OF 25 AIR UNIVERSITY PERSONNEL REPRESENTING VARIOUS RANKS AND SCHOOLS ATTENDED AN…

The potential of blended learning in education and training for advanced civilian and military trauma care.

PubMed

Sonesson, Linda; Boffard, Kenneth; Lundberg, Lars; Rydmark, Martin; Karlgren, Klas

2018-01-01

In the field of advanced care of the complex trauma patient, there is an emerging need for focused education and training. However, several hospitals do not support further education and training in this field, and the challenge of releasing time for physicians and nurses is well-known. Educational strategies using blended learning, which combines traditional classroom methods with modern computer-assisted methods and media, have not yet been widely used. This study analysed the educational challenges and areas for improvement, according to senior physicians and nurses, and investigated the potential use of blended learning. The setting was an international course, Definitive Surgical Trauma Care (DSTC) - Military Version, part of a programme which prepares health professionals for work during extreme conditions. The sample consisted of senior physicians and nurses, participating in the course in September 2015. A survey was completed, interviews were performed and a post-course survey was conducted 18 months later in March 2017. The most difficult aspect of learning how to manage the complex trauma patient, was the lack of real practice. Even though the respondents were knowledgeable in advanced trauma, they lacked personal experience in managing complex trauma cases. Cases presented during the course represented significantly greater complexity of injury compared to those usually seen in hospitals and during military deployment. The following educational challenges were identified from the study: (1) Lack of experience and knowledge of advanced trauma care. (2) Lack of the use of blended learning as support for education and training. (3) Limited time available for preparation and reflection in the education and training process. (4) Lack of support for such education and training from home hospitals. (5) The unfulfilled requirement for multidisciplinary team-training in the military medical environment. Educational strategies and methods, such as blended learning can support education and training, and the learning process by unlimited practice in reasoning and decision making in virtual patients. It can also provide flexibility and mobility for senior health professionals and their home hospitals, and contribute to an improved military pre-deployment training with less time strain on the civilian home hospitals. Copyright © 2017 Elsevier Ltd. All rights reserved.

Training needs of nurses and social workers in the end-of-life care for people with intellectual disabilities: a national survey.

PubMed

Bekkema, Nienke; de Veer, Anke J E; Albers, Gwenda; Hertogh, Cees M P M; Onwuteaka-Philipsen, Bregje D; Francke, Anneke L

2014-04-01

Nurses and social workers caring for people with intellectual disabilities are increasingly confronted with clients in need of end-of-life care. Previous studies, however, suggest that professionals in intellectual disability care services lack knowledge and experience concerning end-of-life care. Moreover, the proportion of nurses within the staff of intellectual disability services has declined in recent years, while the proportion of social workers has increased, which may have consequences for the quality of end-of-life care. To gain insight into the quality of end-of-life care, past vocational training, training needs and expert consultation opportunities of nurses and social workers working in intellectual disability care services. Survey questionnaire study conducted in the Netherlands. Intellectual disability care services. The study sample was recruited from an existing nationally representative research panel of care professionals. In 2011, all 181 nurses and social workers in the research panel who worked in intellectual disability care services were sent our survey questionnaire. Postal survey addressing education, views and needs regarding end-of-life care. The response was 71.8%. Respondents positively evaluated the quality of end-of-life care. However, most respondents felt inadequately trained in end-of-life care issues. Nurses had received more training in end-of-life care and had fewer training needs than social workers. Respondents wished for additional training, especially in supporting clients in dealing with the impending death and farewell process. Half of the respondents were unaware of the availability of external consultation facilities. This study shows that although nurses and social workers positively appraise the quality of end-of-life care for people with intellectual disabilities, the majority feel inadequately trained to provide good end-of-life care. As the number of people with intellectual disability in need of end-of-life care grows, organizations need to offer additional relevant training and must give information about the availability of external expert consultation for nurses and social workers. © 2013.

Practice Oriented Master's in Optics

NASA Technical Reports Server (NTRS)

Dimmock, John O.

1998-01-01

The development of an interdisciplinary Masters Program with a concentration in Optics and Photonics Technology has been is described. This program was developed under the U.S. Manufacturing Education and Training Activity of the Technology Reinvestment Project. This development was a collaboration between the University of Alabama in Huntsville (UAH), Alabama A&M University, Northwest Shoals Community College, the NASA Marshall Space Flight Center (MSFC), the U.S. Army Missile Command, Oak Ridge National Laboratory (ORNL), Advanced Optical Systems Inc., Dynetics, Inc., Hughes Danbury Optical Systems, Inc., Nichols Research and Speedring Inc. These organizations as well as the National Institute for Standards and Technology and SCI, Inc. have been participating fully in the design, development and implementation of this program. This goal of the program is to produce highly trained graduates who can also solve practical problems. To this end, the program includes an on-site practicum at a manufacturing location. The broad curriculum of this program emphasizes the fundamentals of optics, optical systems manufacturing and testing, and the principles of design and manufacturing to cost for commercial products. The Master's of Science (MS) in Physics and Master's of Science in Engineering (MSE) in Electrical Engineering Degrees with concentration in Optics and Photonics Technology are offered by the respective UAH academic departments with support from and in consultation with a Steering Committee composed of representatives from each of the participating organizations, and a student representative from UAH. The origins of the programs are described. The curricula of the programs is described. The course outlines of the new courses which were developed for the new curriculum are included. Also included are samples of on-site practicums which the students have been involved in. Also included as attachments are samples of the advertisements, which includes flyers, and the program description given to prospective students. The expenditures in the development and information about the cost sharing among the participating organizations is also included. Finally a listing membership of the steering committee is attached.

A Department of Motor Vehicle-Based Intervention to Promote Organ Donor Registrations in New York State.

PubMed

Feeley, Thomas Hugh; Anker, Ashley E; Evans, Melanie; Reynolds-Tylus, Tobias

2017-09-01

Examination of efficacy of motor vehicle representative educational training and dissemination of promotional materials as a means to promote organ donation enrollments in New York State. To increase the number of New York State residents who consent to donation through the department of motor vehicle transactions during project period. County-run motor vehicle offices across New York State. Customers who present to New York Department of Motor Vehicle offices and the representative who work at designated bureaus. point-of-decision materials including promotional posters, brochures, website, and the motor vehicle representative training sessions. Reasons for enrollment decision, knowledge/experience with donation, monthly consent rates, enrollment in state organ, and tissue registry. Customers who elected not to register reported no reason or uncertainty surrounding enrollment. The representatives reported experience with donation, discussion with customers, and need for additional education on organ donation. Enrollment cards were mailed to 799 project staff; counties where offices participated in intervention did not indicate significantly higher monthly enrollments when comparing pre- to postenrollment rates. Use of point-of-decision materials and enrollment cards proved inexpensive method to register customers with a 3.6% return rate. Customers report low (27%) enrollment rate and reticence to consent to donation. Educational training sessions with representatives did not yield significant enrollment increases when evaluating data at county-level enrollment.

Is exercise used as medicine? Association of meeting strength training guidelines and functional limitations among older US adults.

PubMed

Kraschnewski, Jennifer L; Sciamanna, Christopher N; Ciccolo, Joseph T; Rovniak, Liza S; Lehman, Erik B; Candotti, Carolina; Ballentine, Noel H

2014-09-01

To determine the association between meeting strength training guidelines (≥2 times per week) and the presence of functional limitations among older adults. This cross-sectional study used data from older adult participants (N=6763) of the National Health Interview Survey conducted in 2011 in the United States. Overall, 16.1% of older adults reported meeting strength training guidelines. For each of nine functional limitations, those with the limitation were less likely to meet strength training recommendations than those without the limitation. For example, 20.0% of those who reported no difficulty walking one-quarter mile met strength training guidelines, versus only 10.1% of those who reported difficulty (p<.001). In sum, 21.7% of those with no limitations (33.7% of sample) met strength training guidelines, versus only 15.9% of those reporting 1-4 limitations (38.5% of sample) and 9.8% of those reporting 5-9 limitations (27.8% of sample) (p<.001). Strength training is uncommon among older adults and even less common among those who need it the most. The potential for strength training to improve the public's health is therefore substantial, as those who have the most to gain from strength training participate the least. Copyright © 2014 Elsevier Inc. All rights reserved.

Effects of Above Real Time Training (ARTT) On Individual Skills and Contributions to Crew/Team Performance

NASA Technical Reports Server (NTRS)

Ali, Syed Firasat; Khan, M. Javed; Rossi, Marcia J.; Crane, Peter; Guckenberger, Dutch; Bageon, Kellye

2001-01-01

Above Real Time Training (ARTT) is the training acquired on a real time simulator when it is modified to present events at a faster pace than normal. The experiments on training of pilots performed by NASA engineers and others have indicated that real time training (RTT) reinforced with ARTT would offer an effective training strategy for such tasks which require significant effort at time and workload management. A study was conducted to find how ARTT and RTT complement each other for training of novice pilot-navigator teams to fly on a required route. In the experiment, each of the participating pilot-navigator teams was required to conduct simulator flights on a prescribed two-legged ground track while maintaining required air speed and altitude. At any instant in a flight, the distance between the actual spatial point location of the airplane and the required spatial point was used as a measure of deviation from the required route. A smaller deviation represented better performance. Over a segment of flight or over complete flight, an average value of the deviation represented consolidated performance. The deviations were computed from the information on latitude, longitude, and altitude. In the combined ARTT and RTT program, ARTT at intermediate training intervals was beneficial in improving the real time performance of the trainees. It was observed that the team interaction between pilot and navigator resulted in maintaining high motivation and active participation throughout the training program.

19 CFR 151.52 - Sampling procedures.

Code of Federal Regulations, 2012 CFR

2012-04-01

.... Representative commercial moisture and assay samples shall be taken under Customs supervision for testing by the Customs laboratory. The samples used for the moisture test shall be representative of the shipment at the... verified commercial moisture sample and prepared assay sample certified to be representative of the...

Adaptive skin segmentation via feature-based face detection

NASA Astrophysics Data System (ADS)

Taylor, Michael J.; Morris, Tim

2014-05-01

Variations in illumination can have significant effects on the apparent colour of skin, which can be damaging to the efficacy of any colour-based segmentation approach. We attempt to overcome this issue by presenting a new adaptive approach, capable of generating skin colour models at run-time. Our approach adopts a Viola-Jones feature-based face detector, in a moderate-recall, high-precision configuration, to sample faces within an image, with an emphasis on avoiding potentially detrimental false positives. From these samples, we extract a set of pixels that are likely to be from skin regions, filter them according to their relative luma values in an attempt to eliminate typical non-skin facial features (eyes, mouths, nostrils, etc.), and hence establish a set of pixels that we can be confident represent skin. Using this representative set, we train a unimodal Gaussian function to model the skin colour in the given image in the normalised rg colour space - a combination of modelling approach and colour space that benefits us in a number of ways. A generated function can subsequently be applied to every pixel in the given image, and, hence, the probability that any given pixel represents skin can be determined. Segmentation of the skin, therefore, can be as simple as applying a binary threshold to the calculated probabilities. In this paper, we touch upon a number of existing approaches, describe the methods behind our new system, present the results of its application to arbitrary images of people with detectable faces, which we have found to be extremely encouraging, and investigate its potential to be used as part of real-time systems.

Nonparametric, Coupled ,Bayesian ,Dictionary ,and Classifier Learning for Hyperspectral Classification.

PubMed

Akhtar, Naveed; Mian, Ajmal

2017-10-03

We present a principled approach to learn a discriminative dictionary along a linear classifier for hyperspectral classification. Our approach places Gaussian Process priors over the dictionary to account for the relative smoothness of the natural spectra, whereas the classifier parameters are sampled from multivariate Gaussians. We employ two Beta-Bernoulli processes to jointly infer the dictionary and the classifier. These processes are coupled under the same sets of Bernoulli distributions. In our approach, these distributions signify the frequency of the dictionary atom usage in representing class-specific training spectra, which also makes the dictionary discriminative. Due to the coupling between the dictionary and the classifier, the popularity of the atoms for representing different classes gets encoded into the classifier. This helps in predicting the class labels of test spectra that are first represented over the dictionary by solving a simultaneous sparse optimization problem. The labels of the spectra are predicted by feeding the resulting representations to the classifier. Our approach exploits the nonparametric Bayesian framework to automatically infer the dictionary size--the key parameter in discriminative dictionary learning. Moreover, it also has the desirable property of adaptively learning the association between the dictionary atoms and the class labels by itself. We use Gibbs sampling to infer the posterior probability distributions over the dictionary and the classifier under the proposed model, for which, we derive analytical expressions. To establish the effectiveness of our approach, we test it on benchmark hyperspectral images. The classification performance is compared with the state-of-the-art dictionary learning-based classification methods.

[Assessment of laparoscopic training based on eye tracker and electroencephalograph].

PubMed

Liu, Yun; Wang, Shuyi; Zhang, Yangun; Xu, Mingzhe; Ye, Shasha; Wang, Peng

2017-02-01

The aim of this study is to evaluate the effect of laparoscopic simulation training with different attention. Attention was appraised using the sample entropy and θ/β value, which were calculated according to electroencephalograph(EEG) signal collected with Brain Link. The effect of laparoscopic simulation training was evaluated using the completion time, error number and fixation number, which were calculated according to eye movement signal collected with Tobii eye tracker. Twenty volunteers were recruited in this study. Those with the sample entropy lower than0.77 were classified into group A and those higher than 0.77 into group B. The results showed that the sample entropy of group A was lower than that of group B, and fluctuations of A were more steady. However, the sample entropy of group B showed steady fluctuations in the first five trainings, and then demonstrated relatively dramatic fluctuates in the later five trainings. Compared with that of group B, the θ/β value of group A was smaller and shows steady fluctuations. Group A has a shorter completion time, less errors and faster decrease of fixation number. Therefore, this study reached the following conclusion that the attention of the trainees would affect the training effect. Members in group A, who had a higher attention were more efficient and faster training. For those in group B, although their training skills have been improved, they needed a longer time to reach a plateau.

Managerial implications of medical sales representative perceptions of job duties, job qualifications, and other performance-related issues.

PubMed

Tengilimoğlu, Dilaver; Korkmaz, Sezer; Akinci, Fevzi; Parsons, Amy L

2004-01-01

This study examined the perceptions of medical sales representatives of job related duties, job qualifications needed, and motivating factors and tested for differences based on gender, age, years of experience and education using prior research as a base. This study also explored issues that may arise between sales people and physicians. The authors surveyed 132 medical sales representatives from pharmaceutical firms located in Ankara, Turkey. The authors' findings highlight the need in Turkey for developing in-service training programs for medical sales representatives, especially in the areas related to technical aspects of the product, effective marketing and personal selling strategies, and consumer relations. Training in these areas will help salespeople to better manage the problems typically encountered in physician-sales representative relations. While the study was conducted in Turkey, the results are similar to findings in prior research conducted in other countries and therefore may be of interest to all sales managers.

A preliminary investigation to explore the cognitive resources of physicians experiencing difficulty in training.

PubMed

Patterson, Fiona; Cousans, Fran; Coyne, Iain; Jones, Jo; Macleod, Sheona; Zibarras, Lara

2017-05-15

Treating patients is complex, and research shows that there are differences in cognitive resources between physicians who experience difficulties, and those who do not. It is possible that differences in some cognitive resources could explain the difficulties faced by some physicians. In this study, we explore differences in cognitive resources between different groups of physicians (that is, between native (UK) physicians and International Medical Graduates (IMG); those who continue with training versus those who were subsequently removed from the training programme); and also between physicians experiencing difficulties compared with the general population. A secondary evaluation was conducted on an anonymised dataset provided by the East Midlands Professional Support Unit (PSU). One hundred and twenty one postgraduate trainee physicians took part in an Educational Psychology assessment through PSU. Referrals to the PSU were mainly on the basis of problems with exam progression and difficulties in communication skills, organisation and confidence. Cognitive resources were assessed using the Wechsler Adult Intelligence Scale (WAIS-IV). Physicians were categorised into three PSU outcomes: 'Continued in training', 'Removed from training' and 'Active' (currently accessing the PSU). Using a one-sample Z test, we compared the referred physician sample to a UK general population sample on the WAIS-IV and found the referred sample significantly higher in Verbal Comprehension (VCI; z = 8.78) and significantly lower in Working Memory (WMI; z = -4.59). In addition, the native sample were significantly higher in Verbal Comprehension than the UK general population sample (VCI; native physicians: z = 9.95, p < .001, d = 1.25), whilst there was a lesser effect for the difference between the IMG sample and the UK general population (z = 2.13, p = .03, d = 0.29). Findings also showed a significant difference in VCI scores between those physicians who were 'Removed from training' and those who 'Continued in training'. Our results suggest it is important to understand the cognitive resources of physicians to provide a more focussed explanation of those who experience difficulties in training. This will help to implement more targeted interventions to help physicians develop compensatory strategies.

Using partially labeled data for normal mixture identification with application to class definition

NASA Technical Reports Server (NTRS)

Shahshahani, Behzad M.; Landgrebe, David A.

1992-01-01

The problem of estimating the parameters of a normal mixture density when, in addition to the unlabeled samples, sets of partially labeled samples are available is addressed. The density of the multidimensional feature space is modeled with a normal mixture. It is assumed that the set of components of the mixture can be partitioned into several classes and that training samples are available from each class. Since for any training sample the class of origin is known but the exact component of origin within the corresponding class is unknown, the training samples as considered to be partially labeled. The EM iterative equations are derived for estimating the parameters of the normal mixture in the presence of partially labeled samples. These equations can be used to combine the supervised and nonsupervised learning processes.

CTEPP STANDARD OPERATING PROCEDURE FOR CONDUCTING STAFF AND PARTICIPANT TRAINING (SOP-2.27)

EPA Science Inventory

This SOP describes the method to train project staff and participants to collect various field samples and questionnaire data for the study. The training plan consists of two separate components: project staff training and participant training. Before project activities begin,...

A Pilot Investigation Comparing Instructional Packages for MTS Training: "Manual Alone" vs. "Manual-Plus-Computer-Aided Personalized System of Instruction"

ERIC Educational Resources Information Center

Oliveira, Marileide; Goyos, Celso; Pear, Joseph

2012-01-01

Matching-to-sample (MTS) training consists of presenting a stimulus as a sample followed by stimuli called comparisons from which a subject makes a choice. This study presents results of a pilot investigation comparing two packages for teaching university students to conduct MTS training. Two groups--control and experimental--with 2 participants…

Play Therapy Training among School Psychology, Social Work, and School Counseling Graduate Training Programs

ERIC Educational Resources Information Center

Pascarella, Christina Bechle

2012-01-01

This study examined play therapy training across the nation among school psychology, social work, and school counseling graduate training programs. It also compared current training to previous training among school psychology and school counseling programs. A random sample of trainers was selected from lists of graduate programs provided by…

Workforce planning and training in Obstetrics and Gynaecology across Europe: A survey of national trainee societies.

PubMed

Aabakke, Anna J M; Kristufkova, Alexandra; Boyon, Charlotte; Bune, Laurids T; Van de Venne, Maud

2017-07-01

To describe the infrastructural differences in training in Obstetrics and Gynaecology (ObGyn) across Europe. Descriptive web-based survey of 31 national ObGyn trainee societies representing the 30 member countries of the European Network of Trainees in Obstetrics and Gynaecology. Answers were verified in a telephone interview and only countries which had completed the telephone interview were included in the final analysis. The final analysis included 28 of 31 societies representing 27 countries (response rate 90%). The median formal duration of training was 5 years (range 4-7). There were mandatory requirements in addition to medical school graduation before specialisation could be started in 20 (71%) countries. The job opportunities after completion of training varied and included academic fellowships (n=21 [75%]), clinical fellowships/junior consultancy (n=21 [75%]), consultancy (n=11 [40%]), and private practice (n=23 [82%)]. Training and working as a specialist abroad was uncommon (≤20% in 21 [78%] and 26 [96%] countries respectively). Exams during ObGyn training were offered in 24 (85%) countries. Unemployment after completion of training was rare (<5% in 26 [93%] countries). Assessment of ObGyn specialists took place in 20 (71%) countries. The study illustrates that there are organisational variations in ObGyn training in Europe; A) The requirements to obtain a training post vary causing differences in the qualifications of trainees starting training. B) The duration of training varies. And C) newly trained specialists carry varying levels of responsibility. The results suggest that the content, organisation, and outcome of training differ across Europe. Differences due to political, social and cultural reasons are expected. However, further harmonisation of training across Europe still seems desirable in order to improve women's healthcare and facilitate the mobility of ObGyn trainees and specialists across Europe. There are currently several European initiatives, however, national and local measures are essential for training to improve. Copyright © 2017 Elsevier B.V. All rights reserved.