"I write to know what I think": a four-year writing curriculum.

PubMed

Lister, Elena; Kravis, Nathan; Sandberg, Larry; Halpern, Jeffrey K; Cabaniss, Deborah L; Singer, Meriamne B

2008-12-01

The four-year writing curriculum of the Columbia Center for Psychoanalytic Training and Research has as its main objective to teach candidates to learn about analysis through writing. Learning to write about analyses ultimately entails learning to clarify and then express how one thinks and functions as an analyst. Since its inception ten years ago, the program has evolved into its current structure, a stepwise approach through the years of candidate training based on a didactic method called "layering." For each level of the course, candidates' typical writing difficulties are examined, and examples given of write-ups and how they were used in teaching. The essential role of the faculty experience is also described.

RELBET 4.0 user's guide

NASA Technical Reports Server (NTRS)

Cerbins, F. C.; Huysman, B. P.; Knoedler, J. K.; Kwong, P. S.; Pieniazek, L. A.; Strom, S. W.

1986-01-01

This manual describes the operation and use of RELBET 4.0 implemented on the Hewlett Packard model 9000. The RELBET System is an integrated collection of computer programs which support the analysis and post-flight reconstruction of vehicle to vehicle relative trajectories of two on-orbit free-flying vehicles: the Space Shuttle Orbiter and some other free-flyer. The manual serves both as a reference and as a training guide. Appendices provide experienced users with details and full explanations of program usage. The body of the manual introduces new users to the system by leading them through a step by step example of a typical production. This should equip the new user both to execute a typical production process and to understand the most significant variables in that process.

Designing strategies and tools for teacher training: The role of critical details, examples in optics

NASA Astrophysics Data System (ADS)

Viennot, Laurence; Chauvet, Françoise; Colin, Philippe; Rebmann, Gérard

2005-01-01

Within the overall STTIS (Science Teacher Training in an Information Society) framework, this paper focuses on transformations of innovative teaching of optics, following a recommended change of approach to optics in the French curriculum. The empirical investigation of how teachers responded to this change, the main results of which are briefly presented here, identified a crucial aspect of the problem. This is the importance of critical detail'': that is, the fact that the linkage between certain critical details of practice and the fundamental rationale of a teaching sequence is often not easily understood by teachers, even those who are strongly motivated. The paper then discusses the development of guidelines for the design of training materials based on these research findings, which show how teachers typically tend to transform innovations when putting them into practice. We describe the rationale behind and structure of some teacher training materials intended to facilitate awareness and mastery in this respect.

Teaching Human Poses Interactively to a Social Robot

PubMed Central

Gonzalez-Pacheco, Victor; Malfaz, Maria; Fernandez, Fernando; Salichs, Miguel A.

2013-01-01

The main activity of social robots is to interact with people. In order to do that, the robot must be able to understand what the user is saying or doing. Typically, this capability consists of pre-programmed behaviors or is acquired through controlled learning processes, which are executed before the social interaction begins. This paper presents a software architecture that enables a robot to learn poses in a similar way as people do. That is, hearing its teacher's explanations and acquiring new knowledge in real time. The architecture leans on two main components: an RGB-D (Red-, Green-, Blue- Depth) -based visual system, which gathers the user examples, and an Automatic Speech Recognition (ASR) system, which processes the speech describing those examples. The robot is able to naturally learn the poses the teacher is showing to it by maintaining a natural interaction with the teacher. We evaluate our system with 24 users who teach the robot a predetermined set of poses. The experimental results show that, with a few training examples, the system reaches high accuracy and robustness. This method shows how to combine data from the visual and auditory systems for the acquisition of new knowledge in a natural manner. Such a natural way of training enables robots to learn from users, even if they are not experts in robotics. PMID:24048336

Teaching human poses interactively to a social robot.

PubMed

Gonzalez-Pacheco, Victor; Malfaz, Maria; Fernandez, Fernando; Salichs, Miguel A

2013-09-17

The main activity of social robots is to interact with people. In order to do that, the robot must be able to understand what the user is saying or doing. Typically, this capability consists of pre-programmed behaviors or is acquired through controlled learning processes, which are executed before the social interaction begins. This paper presents a software architecture that enables a robot to learn poses in a similar way as people do. That is, hearing its teacher's explanations and acquiring new knowledge in real time. The architecture leans on two main components: an RGB-D (Red-, Green-, Blue- Depth) -based visual system, which gathers the user examples, and an Automatic Speech Recognition (ASR) system, which processes the speech describing those examples. The robot is able to naturally learn the poses the teacher is showing to it by maintaining a natural interaction with the teacher. We evaluate our system with 24 users who teach the robot a predetermined set of poses. The experimental results show that, with a few training examples, the system reaches high accuracy and robustness. This method shows how to combine data from the visual and auditory systems for the acquisition of new knowledge in a natural manner. Such a natural way of training enables robots to learn from users, even if they are not experts in robotics.

A teaching phantom for sonographers.

PubMed

Zagzebski, J A; Madsen, E L; Frank, G R

1991-01-01

An anthropomorphic torso section phantom is described that is intended for use during initial stages of ultrasonographer training. The phantom represents a section of the upper abdomen, with simulated ribs, liver, kidney with fat pad, gallbladder, aorta, and bowel gas. Positioned in the liver are ten simulated soft tissue masses, which produce a variety of typical echographic patterns. All simulated soft tissue components are formed of tissue-mimicking materials that match their corresponding tissue counterparts in terms of speed of sound, ultrasonic attenuation, and density. Construction details are presented and examples of images are shown.

Evidence of the preferential use of disease prototypes over case exemplars among early year one medical students prior to and following diagnostic training.

PubMed

Papa, Frank J; Li, Feiming

2015-12-01

Two core dual processing theory (DPT) System I constructs (Exemplars and Prototypes) were used to: 1) formulate a training exercise designed to improve diagnostic performance in year one medical students, and 2) explore whether any observed performance improvements were associated with preferential use of exemplars or prototypes. With IRB approval, 117 year one medical students participated in an acute chest pain diagnostic training exercise. A pre- and post-training test containing the same 27 case vignettes was used to determine if the subjects' diagnostic performance improved via training in both exemplars and prototypes. Exemplar and Prototype theory was also used to generate a unique typicality estimate for each case vignette. Because these estimates produce different performance predictions, differences in the subjects' observed performance would make it possible to infer whether subjects were preferentially using Exemplars or Prototypes. Pre- vs. post-training comparison revealed a significant performance improvement; t=14.04, p<0.001, Cohen's d=1.32. Pre-training, paired t-testing demonstrated that performance against the most typical vignettes>mid typical vignettes: t=4.94, p<0.001; and mid typical>least typical: t=5.16, p<0.001. Post-training, paired t-testing again demonstrated that performance against the most typical vignettes>mid typical: t=2.94, p<0.01; and mid typical>least typical: t=6.64, p<0.001. These findings are more consistent with the performance predictions generated via Prototype theory than Exemplar theory. DPT is useful in designing and evaluating the utility of new approaches to diagnostic training, and, investigating the cognitive factors driving diagnostic capabilities among early medical students.

16 CFR Figure 4 to Part 1610 - An Example of a Typical Indicator Finger

Code of Federal Regulations, 2010 CFR

2010-01-01

... 16 Commercial Practices 2 2010-01-01 2010-01-01 false An Example of a Typical Indicator Finger 4 Figure 4 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT... Example of a Typical Indicator Finger ER25MR08.003 ...

16 CFR Figure 4 to Part 1610 - An Example of a Typical Indicator Finger

Code of Federal Regulations, 2011 CFR

2011-01-01

... 16 Commercial Practices 2 2011-01-01 2011-01-01 false An Example of a Typical Indicator Finger 4 Figure 4 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT... Example of a Typical Indicator Finger ER25MR08.003 ...

Comparing Pattern Recognition Feature Sets for Sorting Triples in the FIRST Database

NASA Astrophysics Data System (ADS)

Proctor, D. D.

2006-07-01

Pattern recognition techniques have been used with increasing success for coping with the tremendous amounts of data being generated by automated surveys. Usually this process involves construction of training sets, the typical examples of data with known classifications. Given a feature set, along with the training set, statistical methods can be employed to generate a classifier. The classifier is then applied to process the remaining data. Feature set selection, however, is still an issue. This paper presents techniques developed for accommodating data for which a substantive portion of the training set cannot be classified unambiguously, a typical case for low-resolution data. Significance tests on the sort-ordered, sample-size-normalized vote distribution of an ensemble of decision trees is introduced as a method of evaluating relative quality of feature sets. The technique is applied to comparing feature sets for sorting a particular radio galaxy morphology, bent-doubles, from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) database. Also examined are alternative functional forms for feature sets. Associated standard deviations provide the means to evaluate the effect of the number of folds, the number of classifiers per fold, and the sample size on the resulting classifications. The technique also may be applied to situations for which, although accurate classifications are available, the feature set is clearly inadequate, but is desired nonetheless to make the best of available information.

MATE: Machine Learning for Adaptive Calibration Template Detection

PubMed Central

Donné, Simon; De Vylder, Jonas; Goossens, Bart; Philips, Wilfried

2016-01-01

The problem of camera calibration is two-fold. On the one hand, the parameters are estimated from known correspondences between the captured image and the real world. On the other, these correspondences themselves—typically in the form of chessboard corners—need to be found. Many distinct approaches for this feature template extraction are available, often of large computational and/or implementational complexity. We exploit the generalized nature of deep learning networks to detect checkerboard corners: our proposed method is a convolutional neural network (CNN) trained on a large set of example chessboard images, which generalizes several existing solutions. The network is trained explicitly against noisy inputs, as well as inputs with large degrees of lens distortion. The trained network that we evaluate is as accurate as existing techniques while offering improved execution time and increased adaptability to specific situations with little effort. The proposed method is not only robust against the types of degradation present in the training set (lens distortions, and large amounts of sensor noise), but also to perspective deformations, e.g., resulting from multi-camera set-ups. PMID:27827920

Effectively identifying compound-protein interactions by learning from positive and unlabeled examples.

PubMed

Cheng, Zhanzhan; Zhou, Shuigeng; Wang, Yang; Liu, Hui; Guan, Jihong; Chen, Yi-Ping Phoebe

2016-05-18

Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine learning based methods have been developed to predict new CPIs in the literature. However, as there is not yet any publicly available set of validated negative CPIs, most existing machine learning based approaches use the unknown interactions (not validated CPIs) selected randomly as the negative examples to train classifiers for predicting new CPIs. Obviously, this is not quite reasonable and unavoidably impacts the CPI prediction performance. In this paper, we simply take the unknown CPIs as unlabeled examples, and propose a new method called PUCPI (the abbreviation of PU learning for Compound-Protein Interaction identification) that employs biased-SVM (Support Vector Machine) to predict CPIs using only positive and unlabeled examples. PU learning is a class of learning methods that leans from positive and unlabeled (PU) samples. To the best of our knowledge, this is the first work that identifies CPIs using only positive and unlabeled examples. We first collect known CPIs as positive examples and then randomly select compound-protein pairs not in the positive set as unlabeled examples. For each CPI/compound-protein pair, we extract protein domains as protein features and compound substructures as chemical features, then take the tensor product of the corresponding compound features and protein features as the feature vector of the CPI/compound-protein pair. After that, biased-SVM is employed to train classifiers on different datasets of CPIs and compound-protein pairs. Experiments over various datasets show that our method outperforms six typical classifiers, including random forest, L1- and L2-regularized logistic regression, naive Bayes, SVM and k-nearest neighbor (kNN), and three types of existing CPI prediction models. Source code, datasets and related documents of PUCPI are available at: http://admis.fudan.edu.cn/projects/pucpi.html.

Advancing Continence in Typically Developing Children: Adapting the Procedures of Foxx and Azrin for Primary Care.

PubMed

Warzak, William J; Forcino, Stacy S; Sanberg, Sela Ann; Gross, Amy C

2016-01-01

To (1) identify and summarize procedures of Foxx and Azrin's classic toilet training protocol that continue to be used in training typically developing children and (2) adapt recent findings with the original Foxx and Azrin procedures to inform practical suggestions for the rapid toilet training of typically developing children in the primary care setting. Literature searches of PsychINFO and MEDLINE databases used the search terms "(toilet* OR potty* AND train*)." Selection criteria were only peer-reviewed experimental articles that evaluated intensive toilet training with typically developing children. Exclusion criteria were (1) nonpeer reviewed research, (2) studies addressing encopresis and/or enuresis, (3) studies excluding typically developing children, and (4) studies evaluating toilet training during infancy. In addition to the study of Foxx and Azrin, only 4 publications met the above criteria. Toilet training procedures from each article were reviewed to determine which toilet training methods were similar to components described by Foxx and Azrin. Common training elements include increasing the frequency of learning opportunities through fluid loading and having differential consequences for being dry versus being wet and for voiding in the toilet versus elsewhere. There is little research on intensive toilet training of typically developing children. Practice sits and positive reinforcement for voids in the toilet are commonplace, consistent with the Foxx and Azrin protocol, whereas positive practice as a corrective procedure for wetting accidents often is omitted. Fluid loading and differential consequences for being dry versus being wet and for voiding in the toilet also are suggested procedures, consistent with the Foxx and Azrin protocol.

EVA Development and Verification Testing at NASA's Neutral Buoyancy Laboratory

NASA Technical Reports Server (NTRS)

Jairala, Juniper; Durkin, Robert

2012-01-01

As an early step in preparing for future EVAs, astronauts perform neutral buoyancy testing to develop and verify EVA hardware and operations. To date, neutral buoyancy demonstrations at NASA JSC’s Sonny Carter Training Facility have primarily evaluated assembly and maintenance tasks associated with several elements of the ISS. With the retirement of the Space Shuttle, completion of ISS assembly, and introduction of commercial participants for human transportation into space, evaluations at the NBL will take on a new focus. In this session, Juniper Jairala briefly discussed the design of the NBL and, in more detail, described the requirements and process for performing a neutral buoyancy test, including typical hardware and support equipment requirements, personnel and administrative resource requirements, examples of ISS systems and operations that are evaluated, and typical operational objectives that are evaluated. Robert Durkin discussed the new and potential types of uses for the NBL, including those by non-NASA external customers.

EVA Development and Verification Testing at NASA's Neutral Buoyancy Laboratory

NASA Technical Reports Server (NTRS)

Jairala, Juniper; Durkin, Robert

2012-01-01

As an early step in preparing for future EVAs, astronauts perform neutral buoyancy testing to develop and verify EVA hardware and operations. To date, neutral buoyancy demonstrations at NASA JSC's Sonny Carter Training Facility have primarily evaluated assembly and maintenance tasks associated with several elements of the ISS. With the retirement of the Space Shuttle, completion of ISS assembly, and introduction of commercial participants for human transportation into space, evaluations at the NBL will take on a new focus. In this session, Juniper Jairala briefly discussed the design of the NBL and, in more detail, described the requirements and process for performing a neutral buoyancy test, including typical hardware and support equipment requirements, personnel and administrative resource requirements, examples of ISS systems and operations that are evaluated, and typical operational objectives that are evaluated. Robert Durkin discussed the new and potential types of uses for the NBL, including those by non-NASA external customers.

16 CFR Figure 5 to Part 1610 - An Example of a Typical Gas Shield

Code of Federal Regulations, 2011 CFR

2011-01-01

... 16 Commercial Practices 2 2011-01-01 2011-01-01 false An Example of a Typical Gas Shield 5 Figure 5 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT REGULATIONS STANDARD FOR THE FLAMMABILITY OF CLOTHING TEXTILES Pt.1610, Fig. 5 Figure 5 to Part 1610—An Example of a Typical Gas Shield ER25MR08.00...

16 CFR Figure 5 to Part 1610 - An Example of a Typical Gas Shield

Code of Federal Regulations, 2010 CFR

2010-01-01

... 16 Commercial Practices 2 2010-01-01 2010-01-01 false An Example of a Typical Gas Shield 5 Figure 5 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT REGULATIONS STANDARD FOR THE FLAMMABILITY OF CLOTHING TEXTILES Pt.1610, Fig. 5 Figure 5 to Part 1610—An Example of a Typical Gas Shield ER25MR08.00...

16 CFR Figure 5 to Part 1610 - An Example of a Typical Gas Shield

Code of Federal Regulations, 2013 CFR

2013-01-01

... 16 Commercial Practices 2 2013-01-01 2013-01-01 false An Example of a Typical Gas Shield 5 Figure 5 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT REGULATIONS STANDARD FOR THE FLAMMABILITY OF CLOTHING TEXTILES Pt. 1610, Fig. 5 Figure 5 to Part 1610—An Example of a Typical Gas Shield ER25MR08.00...

16 CFR Figure 5 to Part 1610 - An Example of a Typical Gas Shield

Code of Federal Regulations, 2012 CFR

2012-01-01

... 16 Commercial Practices 2 2012-01-01 2012-01-01 false An Example of a Typical Gas Shield 5 Figure 5 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT REGULATIONS STANDARD FOR THE FLAMMABILITY OF CLOTHING TEXTILES Pt.1610, Fig. 5 Figure 5 to Part 1610—An Example of a Typical Gas Shield ER25MR08.00...

16 CFR Figure 5 to Part 1610 - An Example of a Typical Gas Shield

Code of Federal Regulations, 2014 CFR

2014-01-01

... 16 Commercial Practices 2 2014-01-01 2014-01-01 false An Example of a Typical Gas Shield 5 Figure 5 to Part 1610 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT REGULATIONS STANDARD FOR THE FLAMMABILITY OF CLOTHING TEXTILES Pt. 1610, Fig. 5 Figure 5 to Part 1610—An Example of a Typical Gas Shield ER25MR08.00...

The new psychology of strategic leadership.

PubMed

Gavetti, Giovanni

2011-01-01

Firms in an industry typically cluster around a few strategic positions, and the intense competition on those occupied "mountaintops" makes it hard for firms to gain attractive returns. Superior opportunities lie on unoccupied mountaintops. Yet because those opportunities are "cognitively distant"--far from the status quo--strategists have trouble recognizing and acting on them. Competition, therefore, is weak. Most managers are trained to analyze economic forces when they want to identify new opportunities. But that approach usually won't uncover the kinds of ideas that overturn the status quo. Recent research on human cognition suggests that leaders would do better to use associative thinking to spot, act on, and legitimize distant opportunities. They should learn to make analogies with businesses in other industries, for example. For example, Charles Merrill launched an extraordinarily successful business when he reimagined banking as a "financial supermarket." This article explores ways to jump-start associational thinking--and to bring stakeholders along on the journey.

Designing a training tool for imaging mental models

NASA Technical Reports Server (NTRS)

Dede, Christopher J.; Jayaram, Geetha

1990-01-01

The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network.

ChoiceKey: a real-time speech recognition program for psychology experiments with a small response set.

PubMed

Donkin, Christopher; Brown, Scott D; Heathcote, Andrew

2009-02-01

Psychological experiments often collect choice responses using buttonpresses. However, spoken responses are useful in many cases-for example, when working with special clinical populations, or when a paradigm demands vocalization, or when accurate response time measurements are desired. In these cases, spoken responses are typically collected using a voice key, which usually involves manual coding by experimenters in a tedious and error-prone manner. We describe ChoiceKey, an open-source speech recognition package for MATLAB. It can be optimized by training for small response sets and different speakers. We show ChoiceKey to be reliable with minimal training for most participants in experiments with two different responses. Problems presented by individual differences, and occasional atypical responses, are examined, and extensions to larger response sets are explored. The ChoiceKey source files and instructions may be downloaded as supplemental materials for this article from brm.psychonomic-journals.org/content/supplemental.

Dynamic response of the train-track-bridge system subjected to derailment impacts

NASA Astrophysics Data System (ADS)

Ling, Liang; Dhanasekar, Manicka; Thambiratnam, David P.

2018-04-01

Derailments on bridges, although not frequent, when occurs due to a complex dynamic interaction of the train-track-bridge structural system, are very severe. Furthermore, the forced vibration induced by the post-derailment impacts can toss out the derailed wagons from the bridge deck with severe consequences to the traffic underneath and the safety of the occupants of the wagons. This paper presents a study of the train-track-bridge interaction during a heavy freight train crossing a concrete box girder bridge from a normal operation to a derailed state. A numerical model that considers the bridge vibration, train-track interaction and the train post-derailment behaviour is formulated based on a coupled finite-element - multi-body dynamics (FE-MBD) theory. The model is applied to predict the post-derailment behaviour of a freight train composed of one locomotive and several wagons, as well as the dynamic response of a straight single-span simply supported bridge containing ballast track subjected to derailment impacts. For this purpose, a typical derailment scenario of a heavy freight train passing over a severe track geometry defect is introduced. The dynamic derailment behaviour of the heavy freight train and the dynamic responses of the rail bridge are illustrated through numerical examples. The results exhibit the potential for tossing out of the derailed trains from the unstable increase in the yaw angle signature and a lower rate of increase of the bridge deck bending moment compared to the increase in the static axle load of the derailed wheelset.

Stereotype threat prevents perceptual learning

PubMed Central

Shiffrin, Richard M.; Boucher, Kathryn L.; Van Loo, Katie; Rydell, Michael T.

2010-01-01

Stereotype threat (ST) refers to a situation in which a member of a group fears that her or his performance will validate an existing negative performance stereotype, causing a decrease in performance. For example, reminding women of the stereotype “women are bad at math” causes them to perform more poorly on math questions from the SAT and GRE. Performance deficits can be of several types and be produced by several mechanisms. We show that ST prevents perceptual learning, defined in our task as an increasing rate of search for a target Chinese character in a display of such characters. Displays contained two or four characters and half of these contained a target. Search rate increased across a session of training for a control group of women, but not women under ST. Speeding of search is typically explained in terms of learned “popout” (automatic attraction of attention to a target). Did women under ST learn popout but fail to express it? Following training, the women were shown two colored squares and asked to choose the one with the greater color saturation. Superimposed on the squares were task-irrelevant Chinese characters. For women not trained under ST, the presence of a trained target on one square slowed responding, indicating that training had caused the learning of an attention response to targets. Women trained under ST showed no slowing, indicating that they had not learned such an attention response. PMID:20660737

Spacelab mission dependent training parametric resource requirements study

NASA Technical Reports Server (NTRS)

Ogden, D. H.; Watters, H.; Steadman, J.; Conrad, L.

1976-01-01

Training flows were developed for typical missions, resource relationships analyzed, and scheduling optimization algorithms defined. Parametric analyses were performed to study the effect of potential changes in mission model, mission complexity and training time required on the resource quantities required to support training of payload or mission specialists. Typical results of these analyses are presented both in graphic and tabular form.

Isolating the Effects of Training Using Simple Regression Analysis: An Example of the Procedure.

ERIC Educational Resources Information Center

Waugh, C. Keith

This paper provides a case example of simple regression analysis, a forecasting procedure used to isolate the effects of training from an identified extraneous variable. This case example focuses on results of a three-day sales training program to improve bank loan officers' knowledge, skill-level, and attitude regarding solicitation and sale of…

Evaluation of the channelized Hotelling observer with an internal-noise model in a train-test paradigm for cardiac SPECT defect detection.

PubMed

Brankov, Jovan G

2013-10-21

The channelized Hotelling observer (CHO) has become a widely used approach for evaluating medical image quality, acting as a surrogate for human observers in early-stage research on assessment and optimization of imaging devices and algorithms. The CHO is typically used to measure lesion detectability. Its popularity stems from experiments showing that the CHO's detection performance can correlate well with that of human observers. In some cases, CHO performance overestimates human performance; to counteract this effect, an internal-noise model is introduced, which allows the CHO to be tuned to match human-observer performance. Typically, this tuning is achieved using example data obtained from human observers. We argue that this internal-noise tuning step is essentially a model training exercise; therefore, just as in supervised learning, it is essential to test the CHO with an internal-noise model on a set of data that is distinct from that used to tune (train) the model. Furthermore, we argue that, if the CHO is to provide useful insights about new imaging algorithms or devices, the test data should reflect such potential differences from the training data; it is not sufficient simply to use new noise realizations of the same imaging method. Motivated by these considerations, the novelty of this paper is the use of new model selection criteria to evaluate ten established internal-noise models, utilizing four different channel models, in a train-test approach. Though not the focus of the paper, a new internal-noise model is also proposed that outperformed the ten established models in the cases tested. The results, using cardiac perfusion SPECT data, show that the proposed train-test approach is necessary, as judged by the newly proposed model selection criteria, to avoid spurious conclusions. The results also demonstrate that, in some models, the optimal internal-noise parameter is very sensitive to the choice of training data; therefore, these models are prone to overfitting, and will not likely generalize well to new data. In addition, we present an alternative interpretation of the CHO as a penalized linear regression wherein the penalization term is defined by the internal-noise model.

Assessing hippocampal development and language in early childhood: Evidence from a new application of the Automatic Segmentation Adapter Tool.

PubMed

Lee, Joshua K; Nordahl, Christine W; Amaral, David G; Lee, Aaron; Solomon, Marjorie; Ghetti, Simona

2015-11-01

Volumetric assessments of the hippocampus and other brain structures during childhood provide useful indices of brain development and correlates of cognitive functioning in typically and atypically developing children. Automated methods such as FreeSurfer promise efficient and replicable segmentation, but may include errors which are avoided by trained manual tracers. A recently devised automated correction tool that uses a machine learning algorithm to remove systematic errors, the Automatic Segmentation Adapter Tool (ASAT), was capable of substantially improving the accuracy of FreeSurfer segmentations in an adult sample [Wang et al., 2011], but the utility of ASAT has not been examined in pediatric samples. In Study 1, the validity of FreeSurfer and ASAT corrected hippocampal segmentations were examined in 20 typically developing children and 20 children with autism spectrum disorder aged 2 and 3 years. We showed that while neither FreeSurfer nor ASAT accuracy differed by disorder or age, the accuracy of ASAT corrected segmentations were substantially better than FreeSurfer segmentations in every case, using as few as 10 training examples. In Study 2, we applied ASAT to 89 typically developing children aged 2 to 4 years to examine relations between hippocampal volume, age, sex, and expressive language. Girls had smaller hippocampi overall, and in left hippocampus this difference was larger in older than younger girls. Expressive language ability was greater in older children, and this difference was larger in those with larger hippocampi, bilaterally. Overall, this research shows that ASAT is highly reliable and useful to examinations relating behavior to hippocampal structure. © 2015 Wiley Periodicals, Inc.

Astronomy Instruction at a Two-year Technical College

NASA Astrophysics Data System (ADS)

Sirola, C. J.

2000-12-01

Over half of all students now begin their college careers at two-year institutions (technical colleges, junior colleges, vocational schools, etc.). This shift in student demographics has broad implications for college-level science instruction, including astronomy instruction. We compare astronomy instruction at two-year institutions to that at traditional four-year universities. A typical two-year school like Tri-County Technical College profers challenges not typically faced by research universities such as lack of research funding, little equipment or facilities, and a generally lower level of student ability. Conversely, a Tri-County Tech offers opportunities such as extensive training in teaching methodologies, a wide range of student demographics, and small classroom sizes. Our students are rarely interested in astronomy as a major, but instead take astronomy to fulfill other major requirements or to ensure the transfer of science credits to four-year universities. We present several examples of astronomy instruction at Tri-County Technical College and discuss our philosophy of teaching in a post-secondary environment whose enrollment is on the rise.

Increased Resting-State Functional Connectivity in the Cingulo-Opercular Cognitive-Control Network after Intervention in Children with Reading Difficulties

PubMed Central

Horowitz-Kraus, Tzipi; Toro-Serey, Claudio; DiFrancesco, Mark

2015-01-01

Dyslexia, or reading difficulty, is characterized by slow, inaccurate reading accompanied by executive dysfunction. Reading training using the Reading Acceleration Program improves reading and executive functions in both children with dyslexia and typical readers. This improvement is associated with increased activation in and functional connectivity between the anterior cingulate cortex, part of the cingulo-opercular cognitive-control network, and the fusiform gyrus during a reading task after training. The objective of the current study was to determine whether the training also has an effect on functional connectivity of the cingulo-opercular and fronto-parietal cognitive-control networks during rest in children with dyslexia and typical readers. Fifteen children with reading difficulty and 17 typical readers (8-12 years old) were included in the study. Reading and executive functions behavioral measures and resting-state functional magnetic resonance imaging data were collected before and after reading training. Imaging data were analyzed using a graphical network-modeling tool. Both reading groups had increased reading and executive-functions scores after training, with greater gains among the dyslexia group. Training may have less effect on cognitive control in typical readers and a more direct effect on the visual area, as previously reported. Statistical analysis revealed that compared to typical readers, children with reading difficulty had significantly greater functional connectivity in the cingulo-opercular network after training, which may demonstrate the importance of cognitive control during reading in this population. These results support previous findings of increased error-monitoring activation after reading training in children with dyslexia and confirm greater gains with training in this group. PMID:26197049

Hierarchical representation and machine learning from faulty jet engine behavioral examples to detect real time abnormal conditions

NASA Technical Reports Server (NTRS)

Gupta, U. K.; Ali, M.

1988-01-01

The theoretical basis and operation of LEBEX, a machine-learning system for jet-engine performance monitoring, are described. The behavior of the engine is modeled in terms of four parameters (the rotational speeds of the high- and low-speed sections and the exhaust and combustion temperatures), and parameter variations indicating malfunction are transformed into structural representations involving instances and events. LEBEX extracts descriptors from a set of training data on normal and faulty engines, represents them hierarchically in a knowledge base, and uses them to diagnose and predict faults on a real-time basis. Diagrams of the system architecture and printouts of typical results are shown.

GPU-Based Simulation of Ultrasound Imaging Artifacts for Cryosurgery Training.

PubMed

Keelan, Robert; Shimada, Kenji; Rabin, Yoed

2017-02-01

This study presents an efficient computational technique for the simulation of ultrasound imaging artifacts associated with cryosurgery based on nonlinear ray tracing. This study is part of an ongoing effort to develop computerized training tools for cryosurgery, with prostate cryosurgery as a development model. The capability of performing virtual cryosurgical procedures on a variety of test cases is essential for effective surgical training. Simulated ultrasound imaging artifacts include reverberation and reflection of the cryoprobes in the unfrozen tissue, reflections caused by the freezing front, shadowing caused by the frozen region, and tissue property changes in repeated freeze-thaw cycles procedures. The simulated artifacts appear to preserve the key features observed in a clinical setting. This study displays an example of how training may benefit from toggling between the undisturbed ultrasound image, the simulated temperature field, the simulated imaging artifacts, and an augmented hybrid presentation of the temperature field superimposed on the ultrasound image. The proposed method is demonstrated on a graphic processing unit at 100 frames per second, on a mid-range personal workstation, at two orders of magnitude faster than a typical cryoprocedure. This performance is based on computation with C++ accelerated massive parallelism and its interoperability with the DirectX-rendering application programming interface.

GPU-Based Simulation of Ultrasound Imaging Artifacts for Cryosurgery Training

PubMed Central

Keelan, Robert; Shimada, Kenji

2016-01-01

This study presents an efficient computational technique for the simulation of ultrasound imaging artifacts associated with cryosurgery based on nonlinear ray tracing. This study is part of an ongoing effort to develop computerized training tools for cryosurgery, with prostate cryosurgery as a development model. The capability of performing virtual cryosurgical procedures on a variety of test cases is essential for effective surgical training. Simulated ultrasound imaging artifacts include reverberation and reflection of the cryoprobes in the unfrozen tissue, reflections caused by the freezing front, shadowing caused by the frozen region, and tissue property changes in repeated freeze–thaw cycles procedures. The simulated artifacts appear to preserve the key features observed in a clinical setting. This study displays an example of how training may benefit from toggling between the undisturbed ultrasound image, the simulated temperature field, the simulated imaging artifacts, and an augmented hybrid presentation of the temperature field superimposed on the ultrasound image. The proposed method is demonstrated on a graphic processing unit at 100 frames per second, on a mid-range personal workstation, at two orders of magnitude faster than a typical cryoprocedure. This performance is based on computation with C++ accelerated massive parallelism and its interoperability with the DirectX-rendering application programming interface. PMID:26818026

Focusing the research agenda for simulation training visual system requirements

NASA Astrophysics Data System (ADS)

Lloyd, Charles J.

2014-06-01

Advances in the capabilities of the display-related technologies with potential uses in simulation training devices continue to occur at a rapid pace. Simultaneously, ongoing reductions in defense spending stimulate the services to push a higher proportion of training into ground-based simulators to reduce their operational costs. These two trends result in increased customer expectations and desires for more capable training devices, while the money available for these devices is decreasing. Thus, there exists an increasing need to improve the efficiency of the acquisition process and to increase the probability that users get the training devices they need at the lowest practical cost. In support of this need the IDEAS program was initiated in 2010 with the goal of improving display system requirements associated with unmet user needs and expectations and disrupted acquisitions. This paper describes a process of identifying, rating, and selecting the design parameters that should receive research attention. Analyses of existing requirements documents reveal that between 40 and 50 specific design parameters (i.e., resolution, contrast, luminance, field of view, frame rate, etc.) are typically called out for the acquisition of a simulation training display system. Obviously no research effort can address the effects of this many parameters. Thus, we developed a defensible strategy for focusing limited R&D resources on a fraction of these parameters. This strategy encompasses six criteria to identify the parameters most worthy of research attention. Examples based on display design parameters recommended by stakeholders are provided.

Reconsidering alternative transportation systems to reach academic conferences and to convey an example to reduce greenhouse gas emissions.

PubMed

Fois, Mauro; Cuena-Lombraña, Alba; Fristoe, Trevor; Fenu, Giuseppe; Bacchetta, Gianluigi

2016-12-01

Scientists are typically responsible for greater greenhouse gas emissions than the general population. These 'extra' emissions are largely due to frequent travel, often by airplane, to professional and academic meetings. In the following commentary, we explore how employing mixed modes of transportation, particularly by prioritizing train travel, can significantly reduce the environmental costs associated with attending conferences. Estimating travel distances for attendants to recent meetings, we demonstrate that the proposed strategy has the potential to decrease emissions, even when considering exotic, remote (and potentially enticing) locations. Our suggestions are easy to implement, can be combined with previous proposals for reducing emissions, and provide an opportunity for scientists to convey an important message to the general public. This message is not confined to our particular example and we hope that it will encourage ecologists, sociologists and other scientists, historians and philosophers to pursue additional creative behavioural solutions in order to reduce our impact on an increasingly stressed ecosphere.

Informal sources of supervision in clinical training.

PubMed

Farber, Barry A; Hazanov, Valery

2014-11-01

Although formal, assigned supervision is a potent source of learning and guidance for psychotherapy trainees, many beginning psychotherapists use other, informal sources of supervision or consultation for advice and support. Results of an online survey of beginning trainees (N = 146) indicate that other than their formally assigned supervisor, trainees most often consult with colleagues in their program, their own psychotherapist, and their significant other; that they're most likely to seek these other sources of help when they're feeling stuck or feel they've made a clinical mistake; that they do so because they need extra reassurance and suggestions; that they feel the advice given from these sources is helpful; and that they don't especially regret sharing this information. Several case examples are used to illustrate these points. Discussing clinical material with informal sources is, apparently, a great deal more common than typically acknowledged, and as such, has implications for training programs (including discussions of ethics) and formal supervision. © 2014 Wiley Periodicals, Inc.

Example Owner/Operator Certification for Painter Training Under National Emission Standards for Hazardous Air Pollutant (NESHAP): Area Source Standards for Nine Metal Fabrication and Finishing Source Categories 40 CFR 60 Subpart XXXXXX

EPA Pesticide Factsheets

This example training certification format and any attached training documentation may be used to demonstrate, document and certify successful completion of required training topics under 40 CFR 63.11515(d)(6) for personnel, who spray apply surface coating

Computational neural networks in chemistry: Model free mapping devices for predicting chemical reactivity from molecular structure

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

Elrod, D.W.

1992-01-01

Computational neural networks (CNNs) are a computational paradigm inspired by the brain's massively parallel network of highly interconnected neurons. The power of computational neural networks derives not so much from their ability to model the brain as from their ability to learn by example and to map highly complex, nonlinear functions, without the need to explicitly specify the functional relationship. Two central questions about CNNs were investigated in the context of predicting chemical reactions: (1) the mapping properties of neural networks and (2) the representation of chemical information for use in CNNs. Chemical reactivity is here considered an example ofmore » a complex, nonlinear function of molecular structure. CNN's were trained using modifications of the back propagation learning rule to map a three dimensional response surface similar to those typically observed in quantitative structure-activity and structure-property relationships. The computational neural network's mapping of the response surface was found to be robust to the effects of training sample size, noisy data and intercorrelated input variables. The investigation of chemical structure representation led to the development of a molecular structure-based connection-table representation suitable for neural network training. An extension of this work led to a BE-matrix structure representation that was found to be general for several classes of reactions. The CNN prediction of chemical reactivity and regiochemistry was investigated for electrophilic aromatic substitution reactions, Markovnikov addition to alkenes, Saytzeff elimination from haloalkanes, Diels-Alder cycloaddition, and retro Diels-Alder ring opening reactions using these connectivity-matrix derived representations. The reaction predictions made by the CNNs were more accurate than those of an expert system and were comparable to predictions made by chemists.« less

Communicating Medical Needs to Non-Medical Managers

NASA Technical Reports Server (NTRS)

Bacal, Kira; Miller, Robert; Doerr, Harold

2004-01-01

Differences in communication styles and languages between groups often lead to miscommunication, confusion, and/or frustration. Engineers, computer specialists, clinicians, and managers often utilize the English language in very different ways, with different groups using the same words to represent different concepts ("complaint" is a typical example). In addition, medical issues are often perceived as "off-nominal" and not "primary mission tasks" by managers, which can cause them to assign lower priorities to medical training time and resources. Knowledge bases differ due to variations in training and skill sets, and the goals (both immediate and long-term) of the communicators may also vary, with managers being primarily concerned with overall mission objectives, while clinicians focus on individual or group health issues. Furthermore, true communication is only possible when clinicians possess a deep understanding of mission requirements as well as the ability to communicate medical requirements on a priority basis using risk assessment, added value, and cost benefit analysis. These understandable differences may contribute to difficulties in expressing concerns and ideas in an efficient manner, particularly in projects, such as the space program or many military operations, where these varied groups must collaborate, and where the final decisions must be made by fully informed mission commanders. Methods: Three scenario-based approaches were developed utilizing decision trees and problem based learning, to help define and integrate these concepts. Results: Use of these techniques by NASA and military personnel will be presented. Discussion: To enhance communication, particularly of medical needs, one must identify the concerns and motivating factors for the other groups; for example, members of management may focus on financial concerns, a desire for risk mitigation, public perceptions, mission objectives, etc. Training clinicians to frame issues in these terms may lead to better understanding of the medical concerns by other groups.

Learning communication from erroneous video-based examples: A double-blind randomised controlled trial.

PubMed

Schmitz, Felix Michael; Schnabel, Kai Philipp; Stricker, Daniel; Fischer, Martin Rudolf; Guttormsen, Sissel

2017-06-01

Appropriate training strategies are required to equip undergraduate healthcare students to benefit from communication training with simulated patients. This study examines the learning effects of different formats of video-based worked examples on initial communication skills. First-year nursing students (N=36) were randomly assigned to one of two experimental groups (correct v. erroneous examples) or to the control group (no examples). All the groups were provided an identical introduction to learning materials on breaking bad news; the experimental groups also received a set of video-based worked examples. Each example was accompanied by a self-explanation prompt (considering the example's correctness) and elaborated feedback (the true explanation). Participants presented with erroneous examples broke bad news to a simulated patient significantly more appropriately than students in the control group. Additionally, they tended to outperform participants who had correct examples, while participants presented with correct examples tended to outperform the control group. The worked example effect was successfully adapted for learning in the provider-patient communication domain. Implementing video-based worked examples with self-explanation prompts and feedback can be an effective strategy to prepare students for their training with simulated patients, especially when examples are erroneous. Copyright © 2017 Elsevier B.V. All rights reserved.

Interactive Methods for Teaching Action Potentials, an Example of Teaching Innovation from Neuroscience Postdoctoral Fellows in the Fellowships in Research and Science Teaching (FIRST) Program.

PubMed

Keen-Rhinehart, E; Eisen, A; Eaton, D; McCormack, K

2009-01-01

Acquiring a faculty position in academia is extremely competitive and now typically requires more than just solid research skills and knowledge of one's field. Recruiting institutions currently desire new faculty that can teach effectively, but few postdoctoral positions provide any training in teaching methods. Fellowships in Research and Science Teaching (FIRST) is a successful postdoctoral training program funded by the National Institutes of Health (NIH) providing training in both research and teaching methodology. The FIRST program provides fellows with outstanding interdisciplinary biomedical research training in fields such as neuroscience. The postdoctoral research experience is integrated with a teaching program which includes a How to Teach course, instruction in classroom technology and course development and mentored teaching. During their mentored teaching experiences, fellows are encouraged to explore innovative teaching methodologies and to perform science teaching research to improve classroom learning. FIRST fellows teaching neuroscience to undergraduates have observed that many of these students have difficulty with the topic of neuroscience. Therefore, we investigated the effects of interactive teaching methods for this topic. We tested two interactive teaching methodologies to determine if they would improve learning and retention of this information when compared with standard lectures. The interactive methods for teaching action potentials increased understanding and retention. Therefore, FIRST provides excellent teaching training, partly by enhancing the ability of fellows to integrate innovative teaching methods into their instruction. This training in turn provides fellows that matriculate from this program more of the characteristics that hiring institutions desire in their new faculty.

Interactive Methods for Teaching Action Potentials, an Example of Teaching Innovation from Neuroscience Postdoctoral Fellows in the Fellowships in Research and Science Teaching (FIRST) Program

PubMed Central

Keen-Rhinehart, E.; Eisen, A.; Eaton, D.; McCormack, K.

2009-01-01

Acquiring a faculty position in academia is extremely competitive and now typically requires more than just solid research skills and knowledge of one’s field. Recruiting institutions currently desire new faculty that can teach effectively, but few postdoctoral positions provide any training in teaching methods. Fellowships in Research and Science Teaching (FIRST) is a successful postdoctoral training program funded by the National Institutes of Health (NIH) providing training in both research and teaching methodology. The FIRST program provides fellows with outstanding interdisciplinary biomedical research training in fields such as neuroscience. The postdoctoral research experience is integrated with a teaching program which includes a How to Teach course, instruction in classroom technology and course development and mentored teaching. During their mentored teaching experiences, fellows are encouraged to explore innovative teaching methodologies and to perform science teaching research to improve classroom learning. FIRST fellows teaching neuroscience to undergraduates have observed that many of these students have difficulty with the topic of neuroscience. Therefore, we investigated the effects of interactive teaching methods for this topic. We tested two interactive teaching methodologies to determine if they would improve learning and retention of this information when compared with standard lectures. The interactive methods for teaching action potentials increased understanding and retention. Therefore, FIRST provides excellent teaching training, partly by enhancing the ability of fellows to integrate innovative teaching methods into their instruction. This training in turn provides fellows that matriculate from this program more of the characteristics that hiring institutions desire in their new faculty. PMID:23493377

An entrepreneurial training model to enhance undergraduate training in biomedical research.

PubMed

Kamangar, Farin; Silver, Gillian; Hohmann, Christine; Hughes-Darden, Cleo; Turner-Musa, Jocelyn; Haines, Robert Trent; Jackson, Avis; Aguila, Nelson; Sheikhattari, Payam

2017-01-01

Undergraduate students who are interested in biomedical research typically work on a faculty member's research project, conduct one distinct task (e.g., running gels), and, step by step, enhance their skills. This "apprenticeship" model has been helpful in training many distinguished scientists over the years, but it has several potential drawbacks. For example, the students have limited autonomy, and may not understand the big picture, which may result in students giving up on their goals for a research career. Also, the model is costly and may greatly depend on a single mentor. The NIH Building Infrastructure Leading to Diversity (BUILD) Initiative has been established to fund innovative undergraduate research training programs and support institutional and faculty development of the recipient university. The training model at Morgan State University (MSU), namely " A S tudent- C entered En trepreneurship D evelopment training model" (ASCEND), is one of the 10 NIH BUILD-funded programs, and offers a novel, experimental "entrepreneurial" training approach. In the ASCEND training model, the students take the lead. They own the research, understand the big picture, and experience the entire scope of the research process, which we hypothesize will lead to a greater sense of self-efficacy and research competency, as well as an enhanced sense of science identity. They are also immersed in environments with substantial peer support, where they can exchange research ideas and share experiences. This is important for underrepresented minority students who might have fewer role models and less peer support in conducting research. In this article, we describe the MSU ASCEND entrepreneurial training model's components, rationale, and history, and how it may enhance undergraduate training in biomedical research that may be of benefit to other institutions. We also discuss evaluation methods, possible sustainability solutions, and programmatic challenges that can affect all types of science training interventions.

Neural-Network Computer Transforms Coordinates

NASA Technical Reports Server (NTRS)

Josin, Gary M.

1990-01-01

Numerical simulation demonstrated ability of conceptual neural-network computer to generalize what it has "learned" from few examples. Ability to generalize achieved with even simple neural network (relatively few neurons) and after exposure of network to only few "training" examples. Ability to obtain fairly accurate mappings after only few training examples used to provide solutions to otherwise intractable mapping problems.

Development of a low-cost virtual reality workstation for training and education

NASA Technical Reports Server (NTRS)

Phillips, James A.

1996-01-01

Virtual Reality (VR) is a set of breakthrough technologies that allow a human being to enter and fully experience a 3-dimensional, computer simulated environment. A true virtual reality experience meets three criteria: (1) it involves 3-dimensional computer graphics; (2) it includes real-time feedback and response to user actions; and (3) it must provide a sense of immersion. Good examples of a virtual reality simulator are the flight simulators used by all branches of the military to train pilots for combat in high performance jet fighters. The fidelity of such simulators is extremely high -- but so is the price tag, typically millions of dollars. Virtual reality teaching and training methods are manifestly effective, but the high cost of VR technology has limited its practical application to fields with big budgets, such as military combat simulation, commercial pilot training, and certain projects within the space program. However, in the last year there has been a revolution in the cost of VR technology. The speed of inexpensive personal computers has increased dramatically, especially with the introduction of the Pentium processor and the PCI bus for IBM-compatibles, and the cost of high-quality virtual reality peripherals has plummeted. The result is that many public schools, colleges, and universities can afford a PC-based workstation capable of running immersive virtual reality applications. My goal this summer was to assemble and evaluate such a system.

Training set expansion: an approach to improving the reconstruction of biological networks from limited and uneven reliable interactions

PubMed Central

Yip, Kevin Y.; Gerstein, Mark

2009-01-01

Motivation: An important problem in systems biology is reconstructing complete networks of interactions between biological objects by extrapolating from a few known interactions as examples. While there are many computational techniques proposed for this network reconstruction task, their accuracy is consistently limited by the small number of high-confidence examples, and the uneven distribution of these examples across the potential interaction space, with some objects having many known interactions and others few. Results: To address this issue, we propose two computational methods based on the concept of training set expansion. They work particularly effectively in conjunction with kernel approaches, which are a popular class of approaches for fusing together many disparate types of features. Both our methods are based on semi-supervised learning and involve augmenting the limited number of gold-standard training instances with carefully chosen and highly confident auxiliary examples. The first method, prediction propagation, propagates highly confident predictions of one local model to another as the auxiliary examples, thus learning from information-rich regions of the training network to help predict the information-poor regions. The second method, kernel initialization, takes the most similar and most dissimilar objects of each object in a global kernel as the auxiliary examples. Using several sets of experimentally verified protein–protein interactions from yeast, we show that training set expansion gives a measurable performance gain over a number of representative, state-of-the-art network reconstruction methods, and it can correctly identify some interactions that are ranked low by other methods due to the lack of training examples of the involved proteins. Contact: mark.gerstein@yale.edu Availability: The datasets and additional materials can be found at http://networks.gersteinlab.org/tse. PMID:19015141

How Knowledge Organisations Work: The Case of Software Firms

ERIC Educational Resources Information Center

Gottschalk, Petter

2007-01-01

Knowledge workers in software firms solve client problems in sequential and cyclical work processes. Sequential and cyclical work takes place in the value configuration of a value shop. While typical examples of value chains are manufacturing industries such as paper and car production, typical examples of value shops are law firms and medical…

Reading acceleration training changes brain circuitry in children with reading difficulties

PubMed Central

Horowitz-Kraus, Tzipi; Vannest, Jennifer J; Kadis, Darren; Cicchino, Nicole; Wang, Yingying Y; Holland, Scott K

2014-01-01

Introduction Dyslexia is characterized by slow, inaccurate reading. Previous studies have shown that the Reading Acceleration Program (RAP) improves reading speed and accuracy in children and adults with dyslexia and in typical readers across different orthographies. However, the effect of the RAP on the neural circuitry of reading has not been established. In the current study, we examined the effect of the RAP training on regions of interest in the neural circuitry for reading using a lexical decision task during fMRI in children with reading difficulties and typical readers. Methods Children (8–12 years old) with reading difficulties and typical readers were studied before and after 4 weeks of training with the RAP in both groups. Results In addition to improvements in oral and silent contextual reading speed, training-related gains were associated with increased activation of the left hemisphere in both children with reading difficulties and typical readers. However, only children with reading difficulties showed improvements in reading comprehension, which were associated with significant increases in right frontal lobe activation. Conclusions Our results demonstrate differential effects of the RAP on neural circuits supporting reading in both children with reading difficulties and typical readers and suggest that the intervention may stimulate use of typical neural circuits for reading and engage compensatory pathways to support reading in the developing brain of children with reading difficulties. PMID:25365797

Temporal Cyber Attack Detection.

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

Ingram, Joey Burton; Draelos, Timothy J.; Galiardi, Meghan

Rigorous characterization of the performance and generalization ability of cyber defense systems is extremely difficult, making it hard to gauge uncertainty, and thus, confidence. This difficulty largely stems from a lack of labeled attack data that fully explores the potential adversarial space. Currently, performance of cyber defense systems is typically evaluated in a qualitative manner by manually inspecting the results of the system on live data and adjusting as needed. Additionally, machine learning has shown promise in deriving models that automatically learn indicators of compromise that are more robust than analyst-derived detectors. However, to generate these models, most algorithms requiremore » large amounts of labeled data (i.e., examples of attacks). Algorithms that do not require annotated data to derive models are similarly at a disadvantage, because labeled data is still necessary when evaluating performance. In this work, we explore the use of temporal generative models to learn cyber attack graph representations and automatically generate data for experimentation and evaluation. Training and evaluating cyber systems and machine learning models requires significant, annotated data, which is typically collected and labeled by hand for one-off experiments. Automatically generating such data helps derive/evaluate detection models and ensures reproducibility of results. Experimentally, we demonstrate the efficacy of generative sequence analysis techniques on learning the structure of attack graphs, based on a realistic example. These derived models can then be used to generate more data. Additionally, we provide a roadmap for future research efforts in this area.« less

Group 4: Instructor training and qualifications

NASA Technical Reports Server (NTRS)

Sessa, R.

1981-01-01

Each professional instructor or check airman used in LOFT training course should complete an FAA approved training course in the appropriate aircraft type. Instructors used in such courses need not be type-rated. If an instructor or check airman who is presently not line-qualified is used as a LOFT instructor, he or she should remain current in line-operational procedures by observing operating procedures from the jump seat on three typical line segments pr 90 days on the appropriate aircraft type. ("Line qualification" means completion as a flight crew member of at least three typical line segments per 90 days on the appropriate aircraft type.) The training should include the requirement of four hours of LOFT training, in lieu of actual aircraft training or line operating experience.

Classification

NASA Astrophysics Data System (ADS)

Oza, Nikunj

2012-03-01

A supervised learning task involves constructing a mapping from input data (normally described by several features) to the appropriate outputs. A set of training examples— examples with known output values—is used by a learning algorithm to generate a model. This model is intended to approximate the mapping between the inputs and outputs. This model can be used to generate predicted outputs for inputs that have not been seen before. Within supervised learning, one type of task is a classification learning task, in which each output is one or more classes to which the input belongs. For example, we may have data consisting of observations of sunspots. In a classification learning task, our goal may be to learn to classify sunspots into one of several types. Each example may correspond to one candidate sunspot with various measurements or just an image. A learning algorithm would use the supplied examples to generate a model that approximates the mapping between each supplied set of measurements and the type of sunspot. This model can then be used to classify previously unseen sunspots based on the candidate’s measurements. The generalization performance of a learned model (how closely the target outputs and the model’s predicted outputs agree for patterns that have not been presented to the learning algorithm) would provide an indication of how well the model has learned the desired mapping. More formally, a classification learning algorithm L takes a training set T as its input. The training set consists of |T| examples or instances. It is assumed that there is a probability distribution D from which all training examples are drawn independently—that is, all the training examples are independently and identically distributed (i.i.d.). The ith training example is of the form (x_i, y_i), where x_i is a vector of values of several features and y_i represents the class to be predicted.* In the sunspot classification example given above, each training example would represent one sunspot’s classification (y_i) and the corresponding set of measurements (x_i). The output of a supervised learning algorithm is a model h that approximates the unknown mapping from the inputs to the outputs. In our example, h would map from the sunspot measurements to the type of sunspot. We may have a test set S—a set of examples not used in training that we use to test how well the model h predicts the outputs on new examples. Just as with the examples in T, the examples in S are assumed to be independent and identically distributed (i.i.d.) draws from the distribution D. We measure the error of h on the test set as the proportion of test cases that h misclassifies: 1/|S| Sigma(x,y union S)[I(h(x)!= y)] where I(v) is the indicator function—it returns 1 if v is true and 0 otherwise. In our sunspot classification example, we would identify additional examples of sunspots that were not used in generating the model, and use these to determine how accurate the model is—the fraction of the test samples that the model classifies correctly. An example of a classification model is the decision tree shown in Figure 23.1. We will discuss the decision tree learning algorithm in more detail later—for now, we assume that, given a training set with examples of sunspots, this decision tree is derived. This can be used to classify previously unseen examples of sunpots. For example, if a new sunspot’s inputs indicate that its "Group Length" is in the range 10-15, then the decision tree would classify the sunspot as being of type “E,” whereas if the "Group Length" is "NULL," the "Magnetic Type" is "bipolar," and the "Penumbra" is "rudimentary," then it would be classified as type "C." In this chapter, we will add to the above description of classification problems. We will discuss decision trees and several other classification models. In particular, we will discuss the learning algorithms that generate these classification models, how to use them to classify new examples, and the strengths and weaknesses of these models. We will end with pointers to further reading on classification methods applied to astronomy data.

Using Ensemble Decisions and Active Selection to Improve Low-Cost Labeling for Multi-View Data

NASA Technical Reports Server (NTRS)

Rebbapragada, Umaa; Wagstaff, Kiri L.

2011-01-01

This paper seeks to improve low-cost labeling in terms of training set reliability (the fraction of correctly labeled training items) and test set performance for multi-view learning methods. Co-training is a popular multiview learning method that combines high-confidence example selection with low-cost (self) labeling. However, co-training with certain base learning algorithms significantly reduces training set reliability, causing an associated drop in prediction accuracy. We propose the use of ensemble labeling to improve reliability in such cases. We also discuss and show promising results on combining low-cost ensemble labeling with active (low-confidence) example selection. We unify these example selection and labeling strategies under collaborative learning, a family of techniques for multi-view learning that we are developing for distributed, sensor-network environments.

Typical School Personnel Developing and Implementing Basic Behavior Support Plans

ERIC Educational Resources Information Center

Strickland-Cohen, M. Kathleen; Horner, Robert H.

2015-01-01

We evaluated the ability of typical school personnel with basic behavioral training to develop and implement function-based supports for students with mild to moderate problem behaviors. Descriptive results indicated that following four 1-hr training sessions, 13 participants were able to (a) identify interventions that were and were not…

Examples as an Instructional Tool in Mathematics and Science Classrooms: Teachers' Perceptions and Attitudes

ERIC Educational Resources Information Center

Huang, Xiaoxia; Cribbs, Jennifer

2017-01-01

This study examined mathematics and science teachers' perceptions and use of four types of examples, including typical textbook examples (standard worked examples) and erroneous worked examples in the written form as well as mastery modelling examples and peer modelling examples involving the verbalization of the problem-solving process. Data…

Learning about individuals' health from aggregate data.

PubMed

Colbaugh, Rich; Glass, Kristin

2017-07-01

There is growing awareness that user-generated social media content contains valuable health-related information and is more convenient to collect than typical health data. For example, Twitter has been employed to predict aggregate-level outcomes, such as regional rates of diabetes and child poverty, and to identify individual cases of depression and food poisoning. Models which make aggregate-level inferences can be induced from aggregate data, and consequently are straightforward to build. In contrast, learning models that produce individual-level (IL) predictions, which are more informative, usually requires a large number of difficult-to-acquire labeled IL examples. This paper presents a new machine learning method which achieves the best of both worlds, enabling IL models to be learned from aggregate labels. The algorithm makes predictions by combining unsupervised feature extraction, aggregate-based modeling, and optimal integration of aggregate-level and IL information. Two case studies illustrate how to learn health-relevant IL prediction models using only aggregate labels, and show that these models perform as well as state-of-the-art models trained on hundreds or thousands of labeled individuals.

Robonaut 2 and You: Specifying and Executing Complex Operations

NASA Technical Reports Server (NTRS)

Baker, William; Kingston, Zachary; Moll, Mark; Badger, Julia; Kavraki, Lydia

2017-01-01

Crew time is a precious resource due to the expense of trained human operators in space. Efficient caretaker robots could lessen the manual labor load required by frequent vehicular and life support maintenance tasks, freeing astronaut time for scientific mission objectives. Humanoid robots can fluidly exist alongside human counterparts due to their form, but they are complex and high-dimensional platforms. This paper describes a system that human operators can use to maneuver Robonaut 2 (R2), a dexterous humanoid robot developed by NASA to research co-robotic applications. The system includes a specification of constraints used to describe operations, and the supporting planning framework that solves constrained problems on R2 at interactive speeds. The paper is developed in reference to an illustrative, typical example of an operation R2 performs to highlight the challenges inherent to the problems R2 must face. Finally, the interface and planner is validated through a case-study using the guiding example on the physical robot in a simulated microgravity environment. This work reveals the complexity of employing humanoid caretaker robots and suggest solutions that are broadly applicable.

Acceleration of saddle-point searches with machine learning.

PubMed

Peterson, Andrew A

2016-08-21

In atomistic simulations, the location of the saddle point on the potential-energy surface (PES) gives important information on transitions between local minima, for example, via transition-state theory. However, the search for saddle points often involves hundreds or thousands of ab initio force calls, which are typically all done at full accuracy. This results in the vast majority of the computational effort being spent calculating the electronic structure of states not important to the researcher, and very little time performing the calculation of the saddle point state itself. In this work, we describe how machine learning (ML) can reduce the number of intermediate ab initio calculations needed to locate saddle points. Since machine-learning models can learn from, and thus mimic, atomistic simulations, the saddle-point search can be conducted rapidly in the machine-learning representation. The saddle-point prediction can then be verified by an ab initio calculation; if it is incorrect, this strategically has identified regions of the PES where the machine-learning representation has insufficient training data. When these training data are used to improve the machine-learning model, the estimates greatly improve. This approach can be systematized, and in two simple example problems we demonstrate a dramatic reduction in the number of ab initio force calls. We expect that this approach and future refinements will greatly accelerate searches for saddle points, as well as other searches on the potential energy surface, as machine-learning methods see greater adoption by the atomistics community.

Acceleration of saddle-point searches with machine learning

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

Peterson, Andrew A., E-mail: andrew-peterson@brown.edu

In atomistic simulations, the location of the saddle point on the potential-energy surface (PES) gives important information on transitions between local minima, for example, via transition-state theory. However, the search for saddle points often involves hundreds or thousands of ab initio force calls, which are typically all done at full accuracy. This results in the vast majority of the computational effort being spent calculating the electronic structure of states not important to the researcher, and very little time performing the calculation of the saddle point state itself. In this work, we describe how machine learning (ML) can reduce the numbermore » of intermediate ab initio calculations needed to locate saddle points. Since machine-learning models can learn from, and thus mimic, atomistic simulations, the saddle-point search can be conducted rapidly in the machine-learning representation. The saddle-point prediction can then be verified by an ab initio calculation; if it is incorrect, this strategically has identified regions of the PES where the machine-learning representation has insufficient training data. When these training data are used to improve the machine-learning model, the estimates greatly improve. This approach can be systematized, and in two simple example problems we demonstrate a dramatic reduction in the number of ab initio force calls. We expect that this approach and future refinements will greatly accelerate searches for saddle points, as well as other searches on the potential energy surface, as machine-learning methods see greater adoption by the atomistics community.« less

Systems change resulting from HIV/AIDS education and training. A cross-cutting evaluation of nine innovative projects.

PubMed

Henderson, H; German, V F; Panter, A T; Huba, G J; Rohweder, C; Zalumas, J; Wolfe, L; Uldall, K K; Lalonde, B; Henderson, R; Driscoll, M; Martin, S; Duggan, S; Rahimian, A; Melchior, L A

1999-12-01

An evaluation of nine diverse HIV/AIDS training programs assessed the degree to which the programs produced changes in the ways that health care systems deliver HIV/AIDS care. Participants were interviewed an average of 8 months following completion of training and asked for specific examples of a resulting change in their health care system. More than half of the trainees gave at least one example of a systems change. The examples included the way patient referrals are made, the manner in which agency collaborations are organized, and the way care is delivered.

If training data appears to be mislabeled, should we relabel it? Improving supervised learning algorithms for threat detection in ground penetrating radar data

NASA Astrophysics Data System (ADS)

Reichman, Daniël.; Collins, Leslie M.; Malof, Jordan M.

2018-04-01

This work focuses on the development of automatic buried threat detection (BTD) algorithms using ground penetrating radar (GPR) data. Buried threats tend to exhibit unique characteristics in GPR imagery, such as high energy hyperbolic shapes, which can be leveraged for detection. Many recent BTD algorithms are supervised, and therefore they require training with exemplars of GPR data collected over non-threat locations and threat locations, respectively. Frequently, data from non-threat GPR examples will exhibit high energy hyperbolic patterns, similar to those observed from a buried threat. Is it still useful therefore, to include such examples during algorithm training, and encourage an algorithm to label such data as a non-threat? Similarly, some true buried threat examples exhibit very little distinctive threat-like patterns. We investigate whether it is beneficial to treat such GPR data examples as mislabeled, and either (i) relabel them, or (ii) remove them from training. We study this problem using two algorithms to automatically identify mislabeled examples, if they are present, and examine the impact of removing or relabeling them for training. We conduct these experiments on a large collection of GPR data with several state-of-the-art GPR-based BTD algorithms.

STDP allows fast rate-modulated coding with Poisson-like spike trains.

PubMed

Gilson, Matthieu; Masquelier, Timothée; Hugues, Etienne

2011-10-01

Spike timing-dependent plasticity (STDP) has been shown to enable single neurons to detect repeatedly presented spatiotemporal spike patterns. This holds even when such patterns are embedded in equally dense random spiking activity, that is, in the absence of external reference times such as a stimulus onset. Here we demonstrate, both analytically and numerically, that STDP can also learn repeating rate-modulated patterns, which have received more experimental evidence, for example, through post-stimulus time histograms (PSTHs). Each input spike train is generated from a rate function using a stochastic sampling mechanism, chosen to be an inhomogeneous Poisson process here. Learning is feasible provided significant covarying rate modulations occur within the typical timescale of STDP (~10-20 ms) for sufficiently many inputs (~100 among 1000 in our simulations), a condition that is met by many experimental PSTHs. Repeated pattern presentations induce spike-time correlations that are captured by STDP. Despite imprecise input spike times and even variable spike counts, a single trained neuron robustly detects the pattern just a few milliseconds after its presentation. Therefore, temporal imprecision and Poisson-like firing variability are not an obstacle to fast temporal coding. STDP provides an appealing mechanism to learn such rate patterns, which, beyond sensory processing, may also be involved in many cognitive tasks.

STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains

PubMed Central

Hugues, Etienne

2011-01-01

Spike timing-dependent plasticity (STDP) has been shown to enable single neurons to detect repeatedly presented spatiotemporal spike patterns. This holds even when such patterns are embedded in equally dense random spiking activity, that is, in the absence of external reference times such as a stimulus onset. Here we demonstrate, both analytically and numerically, that STDP can also learn repeating rate-modulated patterns, which have received more experimental evidence, for example, through post-stimulus time histograms (PSTHs). Each input spike train is generated from a rate function using a stochastic sampling mechanism, chosen to be an inhomogeneous Poisson process here. Learning is feasible provided significant covarying rate modulations occur within the typical timescale of STDP (∼10–20 ms) for sufficiently many inputs (∼100 among 1000 in our simulations), a condition that is met by many experimental PSTHs. Repeated pattern presentations induce spike-time correlations that are captured by STDP. Despite imprecise input spike times and even variable spike counts, a single trained neuron robustly detects the pattern just a few milliseconds after its presentation. Therefore, temporal imprecision and Poisson-like firing variability are not an obstacle to fast temporal coding. STDP provides an appealing mechanism to learn such rate patterns, which, beyond sensory processing, may also be involved in many cognitive tasks. PMID:22046113

Green's function of multi-layered poroelastic half-space for models of ground vibration due to railway traffic

NASA Astrophysics Data System (ADS)

Wang, Futong; Tao, Xiaxin; Xie, Lili; Raj, Siddharthan

2017-04-01

This study proposes a Green's function, an essential representation of water-saturated ground under moving excitation, to simulate ground borne vibration from trains. First, general solutions to the governing equations of poroelastic medium are derived by means of integral transform. Secondly, the transmission and reflection matrix approach is used to formulate the relationship between displacement and stress of the stratified ground, which results in the matrix of the Green's function. Then the Green's function is combined into a train-track-ground model, and is verified by typical examples and a field test. Additional simulations show that the computed ground vibration attenuates faster in the immediate vicinity of the track than in the surrounding area. The wavelength of wheel-rail unevenness has a notable effect on computed displacement and pore pressure. The variation of vibration intensity with the depth of ground is significantly influenced by the layering of the strata soil. When the train speed is equal to the velocity of the Rayleigh wave, the Mach cone appears in the simulated wave field. The proposed Green's function is an appropriate representation for a layered ground with shallow ground water table, and will be helpful to understand the dynamic responses of the ground to complicated moving excitation.

Metaplasticity contributes to memory formation in the hippocampus.

PubMed

Crestani, Ana P; Krueger, Jamie N; Barragan, Eden V; Nakazawa, Yuki; Nemes, Sonya E; Quillfeldt, Jorge A; Gray, John A; Wiltgen, Brian J

2018-05-16

Prior learning can modify the plasticity mechanisms that are used to encode new information. For example, NMDA receptor (NMDAR) activation is typically required for new spatial and contextual learning in the hippocampus. However, once animals have acquired this information, they can learn new tasks even if NMDARs are blocked. This finding suggests that behavioral training alters cellular plasticity mechanisms such that NMDARs are not required for subsequent learning. The mechanisms that mediate this change are currently unknown. To address this issue, we tested the idea that changes in intrinsic excitability (induced by learning) facilitate the encoding of new memories via metabotropic glutamate receptor (mGluR) activation. Consistent with this hypothesis, hippocampal neurons exhibited increases in intrinsic excitability after learning that lasted for several days. This increase was selective and only observed in neurons that were activated by the learning event. When animals were trained on a new task during this period, excitable neurons were reactivated and memory formation required the activation of mGluRs instead of NMDARs. These data suggest that increases in intrinsic excitability may serve as a metaplastic mechanism for memory formation.

Training Class Inclusion Responding in Typically Developing Children and Individuals with Autism

ERIC Educational Resources Information Center

Ming, Siri; Mulhern, Teresa; Stewart, Ian; Moran, Laura; Bynum, Kellie

2018-01-01

In a "class inclusion" task, a child must respond to stimuli as being involved in two different though hierarchically related categories. This study used a Relational Frame Theory (RFT) paradigm to assess and train this ability in three typically developing preschoolers and three individuals with autism spectrum disorder, all of whom had…

Using Trained Pixel Classifiers to Select Images of Interest

NASA Technical Reports Server (NTRS)

Mazzoni, D.; Wagstaff, K.; Castano, R.

2004-01-01

We present a machine-learning-based approach to ranking images based on learned priorities. Unlike previous methods for image evaluation, which typically assess the value of each image based on the presence of predetermined specific features, this method involves using two levels of machine-learning classifiers: one level is used to classify each pixel as belonging to one of a group of rather generic classes, and another level is used to rank the images based on these pixel classifications, given some example rankings from a scientist as a guide. Initial results indicate that the technique works well, producing new rankings that match the scientist's rankings significantly better than would be expected by chance. The method is demonstrated for a set of images collected by a Mars field-test rover.

A Physics Show Performed by Students for Kids: From Mechanics to Elementary Particle Physics

NASA Astrophysics Data System (ADS)

Dreiner, Herbi K.

2008-09-01

Physics students spend the early part of their training attending physics and mathematics lectures, solving problem sets, and experimenting in laboratory courses. The program is typically intensive and fairly rigid. They have little opportunity to follow their own curiosity or apply their knowledge. There have been many attempts to address this deficiency, specifically through outreach activities.1-23 For example, since 1984 Clint Sprott (University of Wisconsin) hosts a physics show entitled "The Wonders of Physics!" Dressed up as a circus director and assisted by students, Professor Sprott presents entertaining and educating experiments to a regularly packed auditorium of all age groups.5 This was in turn inspired by the "Chemistry is Fun" presentations of Basam Shakhashiri (University of Wisconsin), where the students are also involved.6

A Model of Self-Explanation Strategies of Instructional Text and Examples in the Acquisition of Programming Skills.

ERIC Educational Resources Information Center

Recker, Margaret M.; Pirolli, Peter

Students learning to program recursive LISP functions in a typical school-like lesson on recursion were observed. The typical lesson contains text and examples and involves solving a series of programming problems. The focus of this study is on students' learning strategies in new domains. In this light, a Soar computational model of…

Core strength training for patients with chronic low back pain.

PubMed

Chang, Wen-Dien; Lin, Hung-Yu; Lai, Ping-Tung

2015-03-01

[Purpose] Through core strength training, patients with chronic low back pain can strengthen their deep trunk muscles. However, independent training remains challenging, despite the existence of numerous core strength training strategies. Currently, no standardized system has been established analyzing and comparing the results of core strength training and typical resistance training. Therefore, we conducted a systematic review of the results of previous studies to explore the effectiveness of various core strength training strategies for patients with chronic low back pain. [Methods] We searched for relevant studies using electronic databases. Subsequently, we evaluated their quality by analyzing the reported data. [Results] We compared four methods of evaluating core strength training: trunk balance, stabilization, segmental stabilization, and motor control exercises. According to the results of various scales and evaluation instruments, core strength training is more effective than typical resistance training for alleviating chronic low back pain. [Conclusion] All of the core strength training strategies examined in this study assist in the alleviation of chronic low back pain; however, we recommend focusing on training the deep trunk muscles to alleviate chronic low back pain.

Interactive Multimedia Instruction for Training Self-Directed Learning Techniques

DTIC Science & Technology

2016-06-01

feedback and input on the content, format, and pedagogical approach of the lesson. This survey could be e-mailed to the principal ARI researcher for...peers in self-directed learning. Some examples of the metaphorical relationships and common examples woven into this IMI are identified in Table 1...20 Table 1 Metaphorical Relationships and Illustrations Used in Self-Directed Learning Training Military or Common Example Self-Directed

Improvement of the Error-detection Mechanism in Adults with Dyslexia Following Reading Acceleration Training.

PubMed

Horowitz-Kraus, Tzipi

2016-05-01

The error-detection mechanism aids in preventing error repetition during a given task. Electroencephalography demonstrates that error detection involves two event-related potential components: error-related and correct-response negativities (ERN and CRN, respectively). Dyslexia is characterized by slow, inaccurate reading. In particular, individuals with dyslexia have a less active error-detection mechanism during reading than typical readers. In the current study, we examined whether a reading training programme could improve the ability to recognize words automatically (lexical representations) in adults with dyslexia, thereby resulting in more efficient error detection during reading. Behavioural and electrophysiological measures were obtained using a lexical decision task before and after participants trained with the reading acceleration programme. ERN amplitudes were smaller in individuals with dyslexia than in typical readers before training but increased following training, as did behavioural reading scores. Differences between the pre-training and post-training ERN and CRN components were larger in individuals with dyslexia than in typical readers. Also, the error-detection mechanism as represented by the ERN/CRN complex might serve as a biomarker for dyslexia and be used to evaluate the effectiveness of reading intervention programmes. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Extreme Conditioning Programs: Potential Benefits and Potential Risks.

PubMed

Knapik, Joseph J

2015-01-01

CrossFit, Insanity, Gym Jones, and P90X are examples of extreme conditioning programs (ECPs). ECPs typically involve high-volume and high-intensity physical activities with short rest periods between movements and use of multiple joint exercises. Data on changes in fitness with ECPs are limited to CrossFit investigations that demonstrated improvements in muscle strength, muscular endurance, aerobic fitness, and body composition. However, no study has directly compared CrossFit or other ECPs to other more traditional forms of aerobic and resistance training within the same investigation. These direct comparisons are needed to more adequately evaluate the effectiveness of ECPs. Until these studies emerge, the comparisons with available literature suggest that improvements in CrossFit, in terms of muscular endurance (push-ups, sit-ups), strength, and aerobic capacity, appear to be similar to those seen in more traditional training programs. Investigations of injuries in ECPs are limited to two observational studies that suggest that the overall injury rate is similar to that seen in other exercise programs. Several cases of rhabdomyolysis and cervical carotid artery dissections have been reported during CrossFit training. The symptoms, diagnosis, and treatment of these are reviewed here. Until more data on ECPs emerge, physical training should be aligned with US Army doctrine. If ECPs are included in exercise programs, trainers should (1) have appropriate training certifications, (2) inspect exercise equipment regularly to assure safety, (3) introduce ECPs to new participants, (4) ensure medical clearance of Soldiers with special health problems before participation in ECPs, (4) tailor ECPs to the individual Soldier, (5) adjust rest periods to optimize recovery and reduce fatigue, (6) monitor Soldiers for signs of overtraining, rhabdomyolysis, and other problems, and (7) coordinate exercise programs with other unit training activities to eliminate redundant activities and minimize the risk of overuse injuries. 2015.

Are we training pit bulls to review our manuscripts?

PubMed

Walbot, Virginia

2009-01-01

Good early training of graduate students and postdocs is needed to prevent them turning into future generations of manuscript-savaging reviewers. How can we intercalate typical papers into our training?

Educators' Understanding of Young Children's Typical and Problematic Sexual Behaviour and Their Training in This Area

ERIC Educational Resources Information Center

Ey, Lesley-anne; McInnes, Elspeth; Rigney, Lester Irabinna

2017-01-01

As part of a wider study, this paper reports on Australian educators' understanding of children's typical and problematic sexual behaviour and their source of training in this area. A sample of 107 educators from government, independent and Catholic primary schools, preschools and care organisations across Australia answered an online…

Development of teaching modules for geology and engineering coursework using terrestrial LiDAR scanning systems

NASA Astrophysics Data System (ADS)

Yarbrough, L. D.; Katzenstein, K.

2012-12-01

Exposing students to active and local examples of physical geologic processes is beneficial to the learning process. Students typically respond with interest to examples that use state-of-the-art technologies to investigate local or regional phenomena. For lower cognitive level of learning (e.g. knowledge, comprehension, and application), the use of "close-to-home" examples ensures that students better understand concepts. By providing these examples, the students may already have a familiarity or can easily visit the location. Furthermore, these local and regional examples help students to offer quickly other examples of similar phenomena. Investigation of these examples using normal photographic techniques, as well as a more sophisticated 3-D Light Detection And Ranging (LiDAR) (AKA Terrestrial Laser Scanning or TLS) system, allows students to gain a better understanding of the scale and the mechanics of the geologic processes and hazards. The systems are used for research, teaching and outreach efforts and depending on departmental policies can be accessible to students are various learning levels. TLS systems can yield scans at sub-centimeter resolution and contain surface reflectance of targets. These systems can serve a number of learning goals that are essential for training geoscientists and engineers. While querying the data to answer geotechnical or geomorphologic related questions, students will develop skills using large, spatial databases. The upper cognitive level of learning (e.g. analysis, synthesis, and evaluation) is also promoted by using a subset of the data and correlating the physical geologic process of stream bank erosion and rock slope failures with mathematical and computer models using the scanned data. Students use the examples and laboratory exercises to help build their engineering judgment skills with Earth materials. The students learn not only applications of math and engineering science but also the economic and social implication of designed engineering solutions. These course learning modules were developed for traditional geological engineering courses delivered on campus, for more intensive field work courses and online-based asynchronous course delivery.

The Effectiveness of Self-regulatory Speech Training for Planning and Problem Solving in Children with Specific Language Impairment.

PubMed

Abdul Aziz, Safiyyah; Fletcher, Janet; Bayliss, Donna M

2016-08-01

Self-regulatory speech has been shown to be important for the planning and problem solving of children. Our intervention study, including comparisons to both wait-list and typically developing controls, examined the effectiveness of a training programme designed to improve self-regulatory speech, and consequently, the planning and problem solving performance of 87 (60 males, 27 females) children aged 4-7 years with Specific Language Impairment (SLI) who were delayed in their self-regulatory speech development. The self-regulatory speech and Tower of London (TOL) performance of children with SLI who received the intervention initially or after a waiting period was compared with that of 80 (48 male, 32 female) typically developing children who did not receive any intervention. Children were tested at three time points: Time 1- prior to intervention; Time 2 - after the first SLI group had received training and the second SLI group provided a wait-list control; and Time 3 - when the second SLI group had received training. At Time 1 children with SLI produced less self-regulatory speech and were impaired on the TOL relative to the typically developing children. At Time 2, the TOL performance of children with SLI in the first training group improved significantly, whereas there was no improvement for the second training group (the wait-list group). At Time 3, the second training group improved their TOL performance and the first group maintained their performance. No significant differences in TOL performance were evident between typically developing children and those with SLI at Time 3. Moreover, decreases in social speech and increases in inaudible muttering following self-regulatory speech training were associated with improvements in TOL performance. Together, the results show that self-regulatory speech training was effective in increasing self-regulatory speech and in improving planning and problem solving performance in children with SLI.

Human ergology that promotes participatory approach to improving safety, health and working conditions at grassroots workplaces: achievements and actions.

PubMed

Kawakami, Tsuyoshi

2011-12-01

Participatory approaches are increasingly applied to improve safety, health and working conditions of grassroots workplaces in Asia. The core concepts and methods in human ergology research such as promoting real work life studies, relying on positive efforts of local people (daily life-technology), promoting active participation of local people to identify practical solutions, and learning from local human networks to reach grassroots workplaces, have provided useful viewpoints to devise such participatory training programmes. This study was aimed to study and analyze how human ergology approaches were applied in the actual development and application of three typical participatory training programmes: WISH (Work Improvement for Safe Home) with home workers in Cambodia, WISCON (Work Improvement in Small Construction Sites) with construction workers in Thailand, and WARM (Work Adjustment for Recycling and Managing Waste) with waste collectors in Fiji. The results revealed that all the three programmes, in the course of their developments, commonly applied direct observation methods of the work of target workers before devising the training programmes, learned from existing local good examples and efforts, and emphasized local human networks for cooperation. These methods and approaches were repeatedly applied in grassroots workplaces by taking advantage of their the sustainability and impacts. It was concluded that human ergology approaches largely contributed to the developments and expansion of participatory training programmes and could continue to support the self-help initiatives of local people for promoting human-centred work.

Domain Modeling for Adaptive Training and Education in Support of the US Army Learning Model-Research Outline

DTIC Science & Technology

2015-06-01

Definitions are provided for this section to distinguish between adaptive training and education elements and also to highlight their relationships ...illustrate this point Franke (2011) asserts that through the use of case study examples, instruction can provide the pedagogical foundation for decision...a prime example of an adaptive training and education system: a learner or trainee model, an instructional or pedagogical model, a domain model

Heart Rate Monitoring in Team Sports-A Conceptual Framework for Contextualizing Heart Rate Measures for Training and Recovery Prescription.

PubMed

Schneider, Christoph; Hanakam, Florian; Wiewelhove, Thimo; Döweling, Alexander; Kellmann, Michael; Meyer, Tim; Pfeiffer, Mark; Ferrauti, Alexander

2018-01-01

A comprehensive monitoring of fitness, fatigue, and performance is crucial for understanding an athlete's individual responses to training to optimize the scheduling of training and recovery strategies. Resting and exercise-related heart rate measures have received growing interest in recent decades and are considered potentially useful within multivariate response monitoring, as they provide non-invasive and time-efficient insights into the status of the autonomic nervous system (ANS) and aerobic fitness. In team sports, the practical implementation of athlete monitoring systems poses a particular challenge due to the complex and multidimensional structure of game demands and player and team performance, as well as logistic reasons, such as the typically large number of players and busy training and competition schedules. In this regard, exercise-related heart rate measures are likely the most applicable markers, as they can be routinely assessed during warm-ups using short (3-5 min) submaximal exercise protocols for an entire squad with common chest strap-based team monitoring devices. However, a comprehensive and meaningful monitoring of the training process requires the accurate separation of various types of responses, such as strain, recovery, and adaptation, which may all affect heart rate measures. Therefore, additional information on the training context (such as the training phase, training load, and intensity distribution) combined with multivariate analysis, which includes markers of (perceived) wellness and fatigue, should be considered when interpreting changes in heart rate indices. The aim of this article is to outline current limitations of heart rate monitoring, discuss methodological considerations of univariate and multivariate approaches, illustrate the influence of different analytical concepts on assessing meaningful changes in heart rate responses, and provide case examples for contextualizing heart rate measures using simple heuristics. To overcome current knowledge deficits and methodological inconsistencies, future investigations should systematically evaluate the validity and usefulness of the various approaches available to guide and improve the implementation of decision-support systems in (team) sports practice.

Heart Rate Monitoring in Team Sports—A Conceptual Framework for Contextualizing Heart Rate Measures for Training and Recovery Prescription

PubMed Central

Schneider, Christoph; Hanakam, Florian; Wiewelhove, Thimo; Döweling, Alexander; Kellmann, Michael; Meyer, Tim; Pfeiffer, Mark; Ferrauti, Alexander

2018-01-01

A comprehensive monitoring of fitness, fatigue, and performance is crucial for understanding an athlete's individual responses to training to optimize the scheduling of training and recovery strategies. Resting and exercise-related heart rate measures have received growing interest in recent decades and are considered potentially useful within multivariate response monitoring, as they provide non-invasive and time-efficient insights into the status of the autonomic nervous system (ANS) and aerobic fitness. In team sports, the practical implementation of athlete monitoring systems poses a particular challenge due to the complex and multidimensional structure of game demands and player and team performance, as well as logistic reasons, such as the typically large number of players and busy training and competition schedules. In this regard, exercise-related heart rate measures are likely the most applicable markers, as they can be routinely assessed during warm-ups using short (3–5 min) submaximal exercise protocols for an entire squad with common chest strap-based team monitoring devices. However, a comprehensive and meaningful monitoring of the training process requires the accurate separation of various types of responses, such as strain, recovery, and adaptation, which may all affect heart rate measures. Therefore, additional information on the training context (such as the training phase, training load, and intensity distribution) combined with multivariate analysis, which includes markers of (perceived) wellness and fatigue, should be considered when interpreting changes in heart rate indices. The aim of this article is to outline current limitations of heart rate monitoring, discuss methodological considerations of univariate and multivariate approaches, illustrate the influence of different analytical concepts on assessing meaningful changes in heart rate responses, and provide case examples for contextualizing heart rate measures using simple heuristics. To overcome current knowledge deficits and methodological inconsistencies, future investigations should systematically evaluate the validity and usefulness of the various approaches available to guide and improve the implementation of decision-support systems in (team) sports practice. PMID:29904351

Exploring Differences in the Content of Job Interviews between Youth with and without a Physical Disability

PubMed Central

Lindsay, Sally; DePape, Anne-Marie

2015-01-01

Objective Although people with disabilities have great potential to provide advantages to work environments, many encounter barriers in finding employment, especially youth who are looking for their first job. A job interview is an essential component of obtaining employment. The objective of this study is to explore the content of the answers given in job interviews among youth with disabilities compared to typically developing youth. Methods A purposive sample of 31 youth (16 with typical development and 15 with disability) completed a mock job interview as part of an employment readiness study. The interview questions focused on skills and experiences, areas for improvement, and actions taken during problem-based scenarios. Transcribed interviews were analyzed using a content analysis of themes that emerged from the interviews. Results We found several similarities and differences between youth with disabilities and typically developing youth. Similarities included giving examples from school, emphasizing their “soft skills” (i.e., people and communication skills) and giving examples of relevant experience for the position. Both groups of youth gave similar examples for something they were proud of but fewer youth with disabilities provided examples. Differences in the content of job interview answers between the two groups included youth with disabilities: (1) disclosing their condition; (2) giving fewer examples related to customer service and teamwork skills; (3) experiencing greater challenges in providing feedback to team members and responding to scenario-based problem solving questions; and (4) drawing on examples from past work, volunteer and extra curricular activities. Conclusions Clinicians and educators should help youth to understand what their marketable skills are and how to highlight them in an interview. Employers need to understand that the experiences of youth with disabilities may be different than typically developing youth. Our findings also help to inform employment readiness programs by highlighting the areas where youth with disabilities may need extra help as compared to typically developing youth. PMID:25799198

Clinical Mastery of Hypnosis.

ERIC Educational Resources Information Center

Horevitz, Richard P.

Hypnosis is an increasingly popular clinical intervention. The number of training courses in hypnosis is growing each year. Research on hypnosis training appears to show that limited exposure to training, as is typical in the common 3 to 5 day format of mass training, produces limited results. Only when training is extended over time do the…

Arbitrary norm support vector machines.

PubMed

Huang, Kaizhu; Zheng, Danian; King, Irwin; Lyu, Michael R

2009-02-01

Support vector machines (SVM) are state-of-the-art classifiers. Typically L2-norm or L1-norm is adopted as a regularization term in SVMs, while other norm-based SVMs, for example, the L0-norm SVM or even the L(infinity)-norm SVM, are rarely seen in the literature. The major reason is that L0-norm describes a discontinuous and nonconvex term, leading to a combinatorially NP-hard optimization problem. In this letter, motivated by Bayesian learning, we propose a novel framework that can implement arbitrary norm-based SVMs in polynomial time. One significant feature of this framework is that only a sequence of sequential minimal optimization problems needs to be solved, thus making it practical in many real applications. The proposed framework is important in the sense that Bayesian priors can be efficiently plugged into most learning methods without knowing the explicit form. Hence, this builds a connection between Bayesian learning and the kernel machines. We derive the theoretical framework, demonstrate how our approach works on the L0-norm SVM as a typical example, and perform a series of experiments to validate its advantages. Experimental results on nine benchmark data sets are very encouraging. The implemented L0-norm is competitive with or even better than the standard L2-norm SVM in terms of accuracy but with a reduced number of support vectors, -9.46% of the number on average. When compared with another sparse model, the relevance vector machine, our proposed algorithm also demonstrates better sparse properties with a training speed over seven times faster.

Testing for Near and Far Transfer Effects with a Short, Face-to-Face Adaptive Working Memory Training Intervention in Typical Children

ERIC Educational Resources Information Center

Henry, Lucy A.; Messer, David J.; Nash, Gilly

2014-01-01

A relatively quick, face-to-face, adaptive working memory training intervention was assessed in 5-to 8-year-old typically developing children, randomly allocated to a 6-week intervention condition, or an active control condition. All children received 18 sessions of 10?minutes, three times/week for 6?weeks. Assessments of six working memory…

Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model

PubMed Central

Panda, Priyadarshini; Srinivasa, Narayan

2018-01-01

A fundamental challenge in machine learning today is to build a model that can learn from few examples. Here, we describe a reservoir based spiking neural model for learning to recognize actions with a limited number of labeled videos. First, we propose a novel encoding, inspired by how microsaccades influence visual perception, to extract spike information from raw video data while preserving the temporal correlation across different frames. Using this encoding, we show that the reservoir generalizes its rich dynamical activity toward signature action/movements enabling it to learn from few training examples. We evaluate our approach on the UCF-101 dataset. Our experiments demonstrate that our proposed reservoir achieves 81.3/87% Top-1/Top-5 accuracy, respectively, on the 101-class data while requiring just 8 video examples per class for training. Our results establish a new benchmark for action recognition from limited video examples for spiking neural models while yielding competitive accuracy with respect to state-of-the-art non-spiking neural models. PMID:29551962

Analysis of precision and accuracy in a simple model of machine learning

NASA Astrophysics Data System (ADS)

Lee, Julian

2017-12-01

Machine learning is a procedure where a model for the world is constructed from a training set of examples. It is important that the model should capture relevant features of the training set, and at the same time make correct prediction for examples not included in the training set. I consider the polynomial regression, the simplest method of learning, and analyze the accuracy and precision for different levels of the model complexity.

A Meta-Analysis of Skills Training Programs for Rehabilitation Clients.

ERIC Educational Resources Information Center

Bolton, Brian; Akridge, Robert L.

1995-01-01

Summarized the results of 15 experimental studies of 10 small-group skills training interventions developed for use with vocational rehabilitation clients. Concluded that the typical participant in skills training interventions received substantial benefit from the activity. Skills training programs should be implemented more widely with clients…

Using Mental Computation Training to Improve Complex Mathematical Performance

ERIC Educational Resources Information Center

Liu, Allison S.; Kallai, Arava Y.; Schunn, Christian D.; Fiez, Julie A.

2015-01-01

Mathematical fluency is important for academic and mathematical success. Fluency training programs have typically focused on fostering retrieval, which leads to math performance that does not reliably transfer to non-trained problems. More recent studies have focused on training number understanding and representational precision, but few have…

Application of Computer Technologies in Building Design by Example of Original Objects of Increased Complexity

NASA Astrophysics Data System (ADS)

Vasilieva, V. N.

2017-11-01

The article deals with the solution of problems in AutoCAD offered at the All-Russian student Olympiads at the section of “Computer graphics” that are not typical for the students of construction specialties. The students are provided with the opportunity to study the algorithm for solving original tasks of high complexity. The article shows how the unknown parameter underlying the construction can be determined using a parametric drawing with geometric constraints and dimensional dependencies. To optimize the mark-up operation, the use of the command for projecting the points and lines of different types onto bodies and surfaces in different directions is shown. For the construction of a spring with a different pitch of turns, the paper describes the creation of a block from a part of the helix and its scaling when inserted into a model with unequal coefficients along the axes. The advantage of the NURBS surface and the application of the “body-surface-surface-NURBS-body” conversion are reflected to enhance the capabilities of both solid and surface modeling. The article’s material introduces construction students into the method of constructing complex models in AutoCAD that are not similar to typical training assignments.

EVA Development and Verification Testing at NASA's Neutral Buoyancy Laboratory

NASA Technical Reports Server (NTRS)

Jairala, Juniper C.; Durkin, Robert; Marak, Ralph J.; Sipila, Stepahnie A.; Ney, Zane A.; Parazynski, Scott E.; Thomason, Arthur H.

2012-01-01

As an early step in the preparation for future Extravehicular Activities (EVAs), astronauts perform neutral buoyancy testing to develop and verify EVA hardware and operations. Neutral buoyancy demonstrations at NASA Johnson Space Center's Sonny Carter Training Facility to date have primarily evaluated assembly and maintenance tasks associated with several elements of the International Space Station (ISS). With the retirement of the Shuttle, completion of ISS assembly, and introduction of commercial players for human transportation to space, evaluations at the Neutral Buoyancy Laboratory (NBL) will take on a new focus. Test objectives are selected for their criticality, lack of previous testing, or design changes that justify retesting. Assembly tasks investigated are performed using procedures developed by the flight hardware providers and the Mission Operations Directorate (MOD). Orbital Replacement Unit (ORU) maintenance tasks are performed using a more systematic set of procedures, EVA Concept of Operations for the International Space Station (JSC-33408), also developed by the MOD. This paper describes the requirements and process for performing a neutral buoyancy test, including typical hardware and support equipment requirements, personnel and administrative resource requirements, examples of ISS systems and operations that are evaluated, and typical operational objectives that are evaluated.

Review of Psychoanalytic Psychotherapy: A Practitioner's Guide.

PubMed

Papouchis, Nicholas

2006-01-01

Reviews the book, Psychoanalytic Psychotherapy: A Practitioner's Guide by Nancy McWilliams (see record 2004-16060-000). Nancy McWilliams' book on analytic therapy is her latest contribution to the training needs of young clinicians. The book is organized into chapters that address fundamental issues clinical trainees typically face as they work with patients. To establish the context for describing psychoanalytic work, the first chapter defines what she means by psychoanalytic therapy. The three chapters that follow address what McWilliams means by a psychoanalytic sensibility: how the therapist may be prepared for doing therapy and how the client may be prepared for the experience of psychoanalytic psychotherapy. The next three chapters address the maintenance of boundaries and basic therapy processes. Two case examples follow in chapters eight and nine, and each example is a richly evocative description of the complexity of psychoanalytic psychotherapy. The last three chapters of the book deal with the ancillary lessons of psychoanalytic therapy, the occupational hazards and gratifications of the work, and a final chapter on self-care. This is an excellent book, but it should be read together with other texts on psychoanalytic psychotherapy that describe the treatment process systematically in more technical terms. This is a book written for clinicians in training or for experienced clinicians to use in working with clinical trainees. In this sense, Nancy McWilliams has more than achieved her goal of writing a book that will introduce clinical trainees to the psychoanalytic sensibility of doing psychoanalytic psychotherapy. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

Attribute-driven transfer learning for detecting novel buried threats with ground-penetrating radar

NASA Astrophysics Data System (ADS)

Colwell, Kenneth A.; Collins, Leslie M.

2016-05-01

Ground-penetrating radar (GPR) technology is an effective method of detecting buried explosive threats. The system uses a binary classifier to distinguish "targets", or buried threats, from "nontargets" arising from system prescreener false alarms; this classifier is trained on a dataset of previously-observed buried threat types. However, the threat environment is not static, and new threat types that appear must be effectively detected even if they are not highly similar to every previously-observed type. Gathering a new dataset that includes a new threat type is expensive and time-consuming; minimizing the amount of new data required to effectively detect the new type is therefore valuable. This research aims to reduce the number of training examples needed to effectively detect new types using transfer learning, which leverages previous learning tasks to accelerate and improve new ones. Further, new types have attribute data, such as composition, components, construction, and size, which can be observed without GPR and typically are not explicitly included in the learning process. Since attribute tags for buried threats determine many aspects of their GPR representation, a new threat type's attributes can be highly relevant to the transfer-learning process. In this work, attribute data is used to drive transfer learning, both by using attributes to select relevant dataset examples for classifier fusion, and by extending a relevance vector machine (RVM) model to perform intelligent attribute clustering and selection. Classification performance results for both the attribute-only case and the low-data case are presented, using a dataset containing a variety of threat types.

Non-linguistic learning in aphasia: Effects of training method and stimulus characteristics

PubMed Central

Vallila-Rohter, Sofia; Kiran, Swathi

2013-01-01

Purpose The purpose of the current study was to explore non-linguistic learning ability in patients with aphasia, examining the impact of stimulus typicality and feedback on success with learning. Method Eighteen patients with aphasia and eight healthy controls participated in this study. All participants completed four computerized, non-linguistic category-learning tasks. We probed learning ability under two methods of instruction: feedback-based (FB) and paired-associate (PA). We also examined the impact of task complexity on learning ability, comparing two stimulus conditions: typical (Typ) and atypical (Atyp). Performance was compared between groups and across conditions. Results Results demonstrated that healthy controls were able to successfully learn categories under all conditions. For our patients with aphasia, two patterns of performance arose. One subgroup of patients was able to maintain learning across task manipulations and conditions. The other subgroup of patients demonstrated a sensitivity to task complexity, learning successfully only in the typical training conditions. Conclusions Results support the hypothesis that impairments of general learning are present in aphasia. Some patients demonstrated the ability to extract category information under complex training conditions, while others learned only under conditions that were simplified and emphasized salient category features. Overall, the typical training condition facilitated learning for all participants. Findings have implications for therapy, which are discussed. PMID:23695914

Cross-Training: The Tactical View.

ERIC Educational Resources Information Center

Kaeter, Margaret

1993-01-01

Discusses the advantages of and problems associated with cross-training. Looks at the issue of remuneration and offers examples of how two companies that cross-train presently pay their employees. (JOW)

Relearning and Retaining Personally-Relevant Words using Computer-Based Flashcard Software in Primary Progressive Aphasia.

PubMed

Evans, William S; Quimby, Megan; Dickey, Michael Walsh; Dickerson, Bradford C

2016-01-01

Although anomia treatments have often focused on training small sets of words in the hopes of promoting generalization to untrained items, an alternative is to directly train a larger set of words more efficiently. The current case study reports on a novel treatment for a patient with semantic variant Primary Progressive Aphasia (svPPA), in which the patient was taught to make and practice flashcards for personally-relevant words using an open-source computer program (Anki). Results show that the patient was able to relearn and retain a large subset of her studied words for up to 20 months, the full duration of the study period. At the end of treatment, she showed good retention for 139 words. While only a subset of the 591 studied overall, this is still far more words than is typically targeted in svPPA interventions. Furthermore, she showed evidence of generalization to perceptually distinct stimuli during confrontation naming and temporary gains in semantic fluency, suggesting limited gains in semantic knowledge as a result of training. This case represents a successful example of patient-centered treatment, where the patient used a computer-based intervention independently at home. It also illustrates how data captured from computer-based treatments during routine clinical care can provide valuable "practice-based evidence" for motivating further treatment research.

Relearning and Retaining Personally-Relevant Words using Computer-Based Flashcard Software in Primary Progressive Aphasia

PubMed Central

Evans, William S.; Quimby, Megan; Dickey, Michael Walsh; Dickerson, Bradford C.

2016-01-01

Although anomia treatments have often focused on training small sets of words in the hopes of promoting generalization to untrained items, an alternative is to directly train a larger set of words more efficiently. The current case study reports on a novel treatment for a patient with semantic variant Primary Progressive Aphasia (svPPA), in which the patient was taught to make and practice flashcards for personally-relevant words using an open-source computer program (Anki). Results show that the patient was able to relearn and retain a large subset of her studied words for up to 20 months, the full duration of the study period. At the end of treatment, she showed good retention for 139 words. While only a subset of the 591 studied overall, this is still far more words than is typically targeted in svPPA interventions. Furthermore, she showed evidence of generalization to perceptually distinct stimuli during confrontation naming and temporary gains in semantic fluency, suggesting limited gains in semantic knowledge as a result of training. This case represents a successful example of patient-centered treatment, where the patient used a computer-based intervention independently at home. It also illustrates how data captured from computer-based treatments during routine clinical care can provide valuable “practice-based evidence” for motivating further treatment research. PMID:27899886

The influence of deliberate practice on musical achievement: a meta-analysis.

PubMed

Platz, Friedrich; Kopiez, Reinhard; Lehmann, Andreas C; Wolf, Anna

2014-01-01

Deliberate practice (DP) is a task-specific structured training activity that plays a key role in understanding skill acquisition and explaining individual differences in expert performance. Relevant activities that qualify as DP have to be identified in every domain. For example, for training in classical music, solitary practice is a typical training activity during skill acquisition. To date, no meta-analysis on the quantifiable effect size of deliberate practice on attained performance in music has been conducted. Yet the identification of a quantifiable effect size could be relevant for the current discussion on the role of various factors on individual difference in musical achievement. Furthermore, a research synthesis might enable new computational approaches to musical development. Here we present the first meta-analysis on the role of deliberate practice in the domain of musical performance. A final sample size of 13 studies (total N = 788) was carefully extracted to satisfy the following criteria: reported durations of task-specific accumulated practice as predictor variables and objectively assessed musical achievement as the target variable. We identified an aggregated effect size of r c = 0.61; 95% CI [0.54, 0.67] for the relationship between task-relevant practice (which by definition includes DP) and musical achievement. Our results corroborate the central role of long-term (deliberate) practice for explaining expert performance in music.

Variation in saltiness perception of soup with respect to soup serving temperature and consumer dietary habits.

PubMed

Kim, Jeong-Weon; Samant, Shilpa S; Seo, Yoojin; Seo, Han-Seok

2015-01-01

Little is known about the effect of serving temperature on saltiness perception in food products such as soups that are typically consumed at high temperature. This study focused on determining whether serving temperature modulates saltiness perception in soup-base products. Eight trained panelists and 62 untrained consumers were asked to rate saltiness intensities in salt water, chicken broth, and miso soup, with serving temperatures of 40, 50, 60, 70, and 80 °C. Neither trained nor untrained panelists were able to find significant difference in the saltiness intensity among salt water samples served at these five different temperatures. However, untrained consumers (but not trained panelists) rated chicken broth and miso soup to be significantly less salty when served at 70 and/or 80 °C compared to when served at 40 to 60 °C. There was an interaction between temperature-related perceived saltiness and preference; for example, consumers who preferred soups served at lower temperatures found soups served at higher temperatures to be less salty. Consumers who frequently consumed hot dishes rated soup samples served at 60 °C as saltier than consumers who consumed hot dishes less frequently. This study demonstrates that soup serving temperature and consumer dietary habits are influential factors affecting saltiness perception of soup. Published by Elsevier Ltd.

Applications of Intelligent Tutoring Systems to Human-Robotic Exploration of Mars

NASA Technical Reports Server (NTRS)

Clancey, William J.

2004-01-01

Space missions with small crews extending over several years with time-delay preventing normal conversations with people on earth will raise many challenges for training. Of special interest are possible three-year missions to Mars, requiring refresher instruction and learning new skills based on unexpected problems with machines and environmental conditions. For example, the crew will be required to monitor and repair more complex life support systems for air and water recycling than we even know how to build today. Highly educated astronauts, often with several doctorate degrees, require a very different mode of interaction than we have developed for school children or even typical college students. Explanation methods may need to differ-using analogies and techniques from different domains-depending on whether the astronaut is an astrophysicist, a pilot, or a geologist.Virtual reality (e.g., for Hubble repair missions) and "integrated" simulations (involving role-playing and emphasizing failure scenarios) are the most common advanced forms of instruction used in space flight today. The emphasis is on collaborative, embodied interaction with the same workstations and tools used in practice (e.g., a cockpit simulator). Otherwise, computerized instructional technology used by NASA is not model-based or tutorial in nature. This discussion will review some of the key instructional methods used at NASA over the past two decades and consider why ITS methods have not been exploited. Some of the problems and opportunities for training for Mars missions are examined, including how using robots in exploration activities will help but raise new training problems. These ideas will be illustrated with examples from the BrahmsVE system in which a browser- based virtual reality display with avatars allows interacting with a distributed multiagent system, in which agents can be people, robots, or software programs. Using BrahmsVE may provide a way for astronauts to interact with proxies of people who serve as instructional coaches on Mars.

Promoting interaction during sociodramatic play: teaching scripts to typical preschoolers and classmates with disabilities.

PubMed

Goldstein, H; Cisar, C L

1992-01-01

We investigated the effects of teaching sociodramatic scripts on subsequent interaction among three triads, each containing 2 typical children and 1 child with autistic characteristics. The same type and rate of teacher prompts were implemented throughout structured play observations to avoid the confounding effects of script training and teacher prompting. After learning the scripts, all children demonstrated more frequent theme-related social behavior. These improvements in social-communicative interaction were replicated with the training of three sociodramatic scripts (i.e., pet shop, carnival, magic show) according to a multiple baseline design. These effects were maintained during the training of successive scripts and when the triads were reconstituted to include new but similarly trained partners. Results provided support for the inclusion of systematic training of scripts to enhance interaction among children with and without disabilities during sociodramatic play.

Learning to Become a More Effective Research or Inquiry-based Project Mentor

NASA Astrophysics Data System (ADS)

Hooper, E. J.; Pfund, C.; Mathieu, R.; Branchaw, J.

2010-08-01

How effective of a mentor are you? Have you thought much about this question? Have you participated in training to become a better mentor? For many academics, the typical three answers are "pretty good, I think ... why wouldn't I be?!"; "I am right now while reading this;" "Uh, no." The University of Wisconsin-Madison has developed a program called Research Mentor Training to help train scientists in myriad STEM (science, technology, engineering and mathematics) disciplines, including astronomy, for their crucial role of mentoring the next generation. Most of the field testing to date has focused on graduate students, post-docs, academic staff, and faculty mentoring undergraduate students who are participating in summer research experiences. The materials have proven quite effective in other areas as well, with only modest modifications. For example, several faculty cohorts concentrating on mentoring graduate students and post-docs have completed the training. In addition, the materials are used to prepare graduate students and undergraduates to mentor high school students. The preferred venue for the mentor training program is a seminar meeting one hour per week for 8 to 9 weeks, plus readings and outside activities, including mentoring a student. However, the structure is flexible, and some meaningful learning can occur in a single 90-minute interactive workshop like the one presented at the 2009 ASP annual meeting, "Science Education and Outreach: Forging a Path to the Future." All of the materials, including case studies, facilitator notes and guidelines, plus reading lists, are available online for no charge (http://researchmentortraining.org). Users can select pre-built curricula, or they can customize a package using a "shopping cart" interface.

Statistics teaching in medical school: opinions of practising doctors.

PubMed

Miles, Susan; Price, Gill M; Swift, Louise; Shepstone, Lee; Leinster, Sam J

2010-11-04

The General Medical Council expects UK medical graduates to gain some statistical knowledge during their undergraduate education; but provides no specific guidance as to amount, content or teaching method. Published work on statistics teaching for medical undergraduates has been dominated by medical statisticians, with little input from the doctors who will actually be using this knowledge and these skills after graduation. Furthermore, doctor's statistical training needs may have changed due to advances in information technology and the increasing importance of evidence-based medicine. Thus there exists a need to investigate the views of practising medical doctors as to the statistical training required for undergraduate medical students, based on their own use of these skills in daily practice. A questionnaire was designed to investigate doctors' views about undergraduate training in statistics and the need for these skills in daily practice, with a view to informing future teaching. The questionnaire was emailed to all clinicians with a link to the University of East Anglia Medical School. Open ended questions were included to elicit doctors' opinions about both their own undergraduate training in statistics and recommendations for the training of current medical students. Content analysis was performed by two of the authors to systematically categorize and describe all the responses provided by participants. 130 doctors responded, including both hospital consultants and general practitioners. The findings indicated that most had not recognised the value of their undergraduate teaching in statistics and probability at the time, but had subsequently found the skills relevant to their career. Suggestions for improving undergraduate teaching in these areas included referring to actual research and ensuring relevance to, and integration with, clinical practice. Grounding the teaching of statistics in the context of real research studies and including examples of typical clinical work may better prepare medical students for their subsequent career.

A Projection and Density Estimation Method for Knowledge Discovery

PubMed Central

Stanski, Adam; Hellwich, Olaf

2012-01-01

A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions. The problem is typically circumvented by using a fixed set of assumptions about the data, e.g., by assuming partial independence of features, data on a manifold or a customized kernel. These fixed assumptions limit the applicability of a method. In this paper we propose a framework that uses a flexible set of assumptions instead. It allows to tailor a model to various problems by means of 1d-decompositions. The approach achieves a fast runtime and is not limited by the curse of dimensionality as all estimations are performed in 1d-space. The wide range of applications is demonstrated at two very different real world examples. The first is a data mining software that allows the fully automatic discovery of patterns. The software is publicly available for evaluation. As a second example an image segmentation method is realized. It achieves state of the art performance on a benchmark dataset although it uses only a fraction of the training data and very simple features. PMID:23049675

Training Self-Regulated Learning Skills with Video Modeling Examples: Do Task-Selection Skills Transfer?

ERIC Educational Resources Information Center

Raaijmakers, Steven F.; Baars, Martine; Schaap, Lydia; Paas, Fred; van Merriënboer, Jeroen; van Gog, Tamara

2018-01-01

Self-assessment and task-selection skills are crucial in self-regulated learning situations in which students can choose their own tasks. Prior research suggested that training with video modeling examples, in which another person (the model) demonstrates and explains the cyclical process of problem-solving task performance, self-assessment, and…

Training for Environmental Impact Assessment (E.I.A.).

ERIC Educational Resources Information Center

Vougias, S.

1988-01-01

Deals with the methodology and practices for Environmental Impact Assessment (EIA). Describes the EIA process, prediction process, alternative assessment methods, training needs, major activities, training provision and material, main deficiencies and the precautions, and real world training examples. (Author/YP)

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...

Auditory Training with Multiple Talkers and Passage-Based Semantic Cohesion

ERIC Educational Resources Information Center

Casserly, Elizabeth D.; Barney, Erin C.

2017-01-01

Purpose: Current auditory training methods typically result in improvements to speech recognition abilities in quiet, but learner gains may not extend to other domains in speech (e.g., recognition in noise) or self-assessed benefit. This study examined the potential of training involving multiple talkers and training emphasizing discourse-level…

Impact of Early Numeracy Training on Kindergarteners from Middle-Income Families

ERIC Educational Resources Information Center

Meloni, Carla; Fanari, Rachele; Bertucci, Andrea; Berretti, Sara

2017-01-01

The aim of this work was to evaluate the effectiveness of a supplemental early numeracy skills training program for typically developing middle-income pre-school and kindergarten children (age 4-5) enrolled in a standard educational program. Three conditions were compared: cooperative learning training; individual learning training; and no…

Examining the Efficacy of a Basic Functional Behavioral Assessment Training Package for School Personnel

ERIC Educational Resources Information Center

Loman, Sheldon L.; Horner, Robert H.

2014-01-01

This study evaluated the effects of manualized training in "Basic" functional behavioral assessment (FBA) for typical school professionals on the ability of these professionals to complete technically adequate FBAs. Twelve school professionals participated in four 1-hr training sessions using the Basic FBA training handbook. After…

The Role of Regulatory Focus in Determining Career-Development Training Program Effectiveness

ERIC Educational Resources Information Center

Weide, Jeffrey Lee

2014-01-01

American organizations spend over $135 billion annually on training with an unknown return on investment. When budgets decline, leaders typically reduce training, despite the known influence of such training on employee motivation. To explore the perceptions of government-focused project managers regarding the effect of a lack of standardized…

A Guide to the Identification of Training Needs.

ERIC Educational Resources Information Center

Boydell, T. H.

This comprehensive analysis of training needs, which is illustrated with case studies and factual examples, is directed towards training management, but its concepts are expressed in terms valuable to all management. The first chapter answers the question, "What are training needs?" The following chapters discuss present and future training needs,…

Continuing Training in Enterprises for Technological Change.

ERIC Educational Resources Information Center

Behrens, A.; And Others

This document contains a series of papers on the topic of continuing training for technological change in business and industry. The papers focus on examples of training for technological change in several countries of Western Europe. The five papers included in the report are "Training for Continuing Training and Education" (A.…

The GH-IGF-I response to typical field sports practices in adolescent athletes: a summary.

PubMed

Eliakim, Alon; Cooper, Dan M; Nemet, Dan

2014-11-01

The present study compares previous reports on the effect of "real-life" typical field individual (i.e., cross-country running and wrestling--representing combat versus noncombat sports) and team sports (i.e., volleyball and water polo-representing water and land team sports) training on GH and IGF-1, the main growth factors of the GH→IGF axis, in male and female late pubertal athletes. Cross-country running practice and volleyball practice in both males and females were associated with significant increases of circulating GH levels, while none of the practices led to a significant increase in IGF-I levels. The magnitude (percent change) of the GH response to the different practices was determined mainly by preexercise GH levels. There was no difference in the training-associated GH response between individual and team sports practices. The GH response to the different typical practices was not influenced by the practice-associated lactate change. Further studies are needed to better understand the effect of real-life typical training in prepubertal and adolescent athletes and their role in exercise adaptations.

Short-arc measurement and fitting based on the bidirectional prediction of observed data

NASA Astrophysics Data System (ADS)

Fei, Zhigen; Xu, Xiaojie; Georgiadis, Anthimos

2016-02-01

To measure a short arc is a notoriously difficult problem. In this study, the bidirectional prediction method based on the Radial Basis Function Neural Network (RBFNN) to the observed data distributed along a short arc is proposed to increase the corresponding arc length, and thus improve its fitting accuracy. Firstly, the rationality of regarding observed data as a time series is discussed in accordance with the definition of a time series. Secondly, the RBFNN is constructed to predict the observed data where the interpolation method is used for enlarging the size of training examples in order to improve the learning accuracy of the RBFNN’s parameters. Finally, in the numerical simulation section, we focus on simulating how the size of the training sample and noise level influence the learning error and prediction error of the built RBFNN. Typically, the observed data coming from a 5{}^\\circ short arc are used to evaluate the performance of the Hyper method known as the ‘unbiased fitting method of circle’ with a different noise level before and after prediction. A number of simulation experiments reveal that the fitting stability and accuracy of the Hyper method after prediction are far superior to the ones before prediction.

Bioengineering and Bioinformatics Summer Institutes: Meeting Modern Challenges in Undergraduate Summer Research

PubMed Central

Dong, Cheng; Snyder, Alan J.; Jones, A. Daniel; Sheets, Erin D.

2008-01-01

Summer undergraduate research programs in science and engineering facilitate research progress for faculty and provide a close-ended research experience for students, which can prepare them for careers in industry, medicine, and academia. However, ensuring these outcomes is a challenge when the students arrive ill-prepared for substantive research or if projects are ill-defined or impractical for a typical 10-wk summer. We describe how the new Bioengineering and Bioinformatics Summer Institutes (BBSI), developed in response to a call for proposals by the National Institutes of Health (NIH) and the National Science Foundation (NSF), provide an impetus for the enhancement of traditional undergraduate research experiences with intense didactic training in particular skills and technologies. Such didactic components provide highly focused and qualified students for summer research with the goal of ensuring increased student satisfaction with research and mentor satisfaction with student productivity. As an example, we focus on our experiences with the Penn State Biomaterials and Bionanotechnology Summer Institute (PSU-BBSI), which trains undergraduates in core technologies in surface characterization, computational modeling, cell biology, and fabrication to prepare them for student-centered research projects in the role of materials in guiding cell biology. PMID:18316807

Individual Differences in Human Reliability Analysis

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

Jeffrey C. Joe; Ronald L. Boring

2014-06-01

While human reliability analysis (HRA) methods include uncertainty in quantification, the nominal model of human error in HRA typically assumes that operator performance does not vary significantly when they are given the same initiating event, indicators, procedures, and training, and that any differences in operator performance are simply aleatory (i.e., random). While this assumption generally holds true when performing routine actions, variability in operator response has been observed in multiple studies, especially in complex situations that go beyond training and procedures. As such, complexity can lead to differences in operator performance (e.g., operator understanding and decision-making). Furthermore, psychological research hasmore » shown that there are a number of known antecedents (i.e., attributable causes) that consistently contribute to observable and systematically measurable (i.e., not random) differences in behavior. This paper reviews examples of individual differences taken from operational experience and the psychological literature. The impact of these differences in human behavior and their implications for HRA are then discussed. We propose that individual differences should not be treated as aleatory, but rather as epistemic. Ultimately, by understanding the sources of individual differences, it is possible to remove some epistemic uncertainty from analyses.« less

Learning to merge: a new tool for interactive mapping

NASA Astrophysics Data System (ADS)

Porter, Reid B.; Lundquist, Sheng; Ruggiero, Christy

2013-05-01

The task of turning raw imagery into semantically meaningful maps and overlays is a key area of remote sensing activity. Image analysts, in applications ranging from environmental monitoring to intelligence, use imagery to generate and update maps of terrain, vegetation, road networks, buildings and other relevant features. Often these tasks can be cast as a pixel labeling problem, and several interactive pixel labeling tools have been developed. These tools exploit training data, which is generated by analysts using simple and intuitive paint-program annotation tools, in order to tailor the labeling algorithm for the particular dataset and task. In other cases, the task is best cast as a pixel segmentation problem. Interactive pixel segmentation tools have also been developed, but these tools typically do not learn from training data like the pixel labeling tools do. In this paper we investigate tools for interactive pixel segmentation that also learn from user input. The input has the form of segment merging (or grouping). Merging examples are 1) easily obtained from analysts using vector annotation tools, and 2) more challenging to exploit than traditional labels. We outline the key issues in developing these interactive merging tools, and describe their application to remote sensing.

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.

Competency-based teacher training: A systematic revision of a proven programme in medical didactics.

PubMed

Griewatz, Jan; Simon, Melanie; Lammerding-Koeppel, Maria

2017-01-01

Objectives: Competency-based medical education (CBME) requires factual knowledge to be practically applied together with skills and attitudes. With the National Competence-Based Learning Objectives for Undergraduate Medical Education (NKLM) representing a strong official demand for competence-orientation, it is generally important to explicitly outline its characteristics and review its realisation in teacher trainings. Further requirements are given by the core competencies for medical teachers (KLM). As an example the MQ programme ("Medizindidaktische Qualifikation") in Baden-Wuerttemberg, a long established and well-accepted training, has been critically revised on this basis, concerning its suitability for the demands of CBME, its needs for adjustment and the efforts to be undertaken for its implementation. Methods: In a systematic quality management process the MQ curriculum and its organisational framing were analysed and further developed in a step-wise comprehensive approach, using the six-step cycle by Kern. The procedures included a thorough needs assessment (e.g. literature research, programme mapping), strategic decisions on structure and content, piloting and evaluation. During the process essential elements of project and change management were considered. Results: The experiences of the MQ example revealed helpful information for key factors to be considered in the pending change process any training provider will be confronted with. Guiding questions were developed related to the process phases. Our analyses showed persistent key points of proven value as stable foundation for change, as well as components needing special consideration to foster competence-oriented aims and transfer into practice: reflection, feedback, application-oriented methods and transparent competence development. These aspects have to be consciously perceived and experienced by participants. Taking this into account, we re-designed the course evidence-based. Besides visualising competencies and their progress, the occasions for reflection and feedback as well as the number of typical, practice-oriented tasks were extended to facilitate self-directed learning, critical self-reflection and individualised solutions. It is shown at what point, in what form and with which purpose these aspects were integrated in the MQ programme. Piloting showed good acceptance by participants, trainers. Preliminary assessment of the outcome is promising. Conclusion: Respecting the high workload, most likely medical teachers will not put CBME concepts into practice without impulses and support. Therefore, in didactical trainings, medical teachers should practice in a competency-based teaching setting and reflect themselves in different professional roles to be able to transfer the experiences to their own educational approach. Trainers and training can serve as models for CBME realisation.

Competency-based teacher training: A systematic revision of a proven programme in medical didactics

PubMed Central

Griewatz, Jan; Simon, Melanie; Lammerding-Koeppel, Maria

2017-01-01

Objectives: Competency-based medical education (CBME) requires factual knowledge to be practically applied together with skills and attitudes. With the National Competence-Based Learning Objectives for Undergraduate Medical Education (NKLM) representing a strong official demand for competence-orientation, it is generally important to explicitly outline its characteristics and review its realisation in teacher trainings. Further requirements are given by the core competencies for medical teachers (KLM). As an example the MQ programme (“Medizindidaktische Qualifikation”) in Baden-Wuerttemberg, a long established and well-accepted training, has been critically revised on this basis, concerning its suitability for the demands of CBME, its needs for adjustment and the efforts to be undertaken for its implementation. Methods: In a systematic quality management process the MQ curriculum and its organisational framing were analysed and further developed in a step-wise comprehensive approach, using the six-step cycle by Kern. The procedures included a thorough needs assessment (e.g. literature research, programme mapping), strategic decisions on structure and content, piloting and evaluation. During the process essential elements of project and change management were considered. Results: The experiences of the MQ example revealed helpful information for key factors to be considered in the pending change process any training provider will be confronted with. Guiding questions were developed related to the process phases. Our analyses showed persistent key points of proven value as stable foundation for change, as well as components needing special consideration to foster competence-oriented aims and transfer into practice: reflection, feedback, application-oriented methods and transparent competence development. These aspects have to be consciously perceived and experienced by participants. Taking this into account, we re-designed the course evidence-based. Besides visualising competencies and their progress, the occasions for reflection and feedback as well as the number of typical, practice-oriented tasks were extended to facilitate self-directed learning, critical self-reflection and individualised solutions. It is shown at what point, in what form and with which purpose these aspects were integrated in the MQ programme. Piloting showed good acceptance by participants, trainers. Preliminary assessment of the outcome is promising. Conclusion: Respecting the high workload, most likely medical teachers will not put CBME concepts into practice without impulses and support. Therefore, in didactical trainings, medical teachers should practice in a competency-based teaching setting and reflect themselves in different professional roles to be able to transfer the experiences to their own educational approach. Trainers and training can serve as models for CBME realisation. PMID:29085888

Low-cost training technology

NASA Technical Reports Server (NTRS)

Lee, A. T.

1984-01-01

The differences between flight training technology and flight simulation technology are highlighted. Examples of training technologies are provided, including the Navy's training system and the interactive cockpit training device. Training problems that might arise in the near future are discussed. These challenges follow from the increased amount and variety of information that a pilot must have access to in the cockpit.

Diagnosis and treatment of presumed STIs at Mexican pharmacies: survey results from a random sample of Mexico City pharmacy attendants

PubMed Central

Turner, A; Ellertson, C; Thomas, S; Garcia, S

2003-01-01

Objectives: People in developing countries often seek medical advice for common ailments from pharmacies. As one example, pharmacists routinely diagnose and treat symptomatic sexually transmitted infections (STIs). We aimed to assess the quality of advice provided in Mexico City pharmacies by presenting hypothetical STI related syndromes and recording pharmacy attendants' suggested diagnoses and treatments. Methods: We interviewed the first available attendant in each of a 5% random sample of Mexico City's pharmacies. We inquired about the training, age, and experience of the attendant and about the typical number of clients coming for treatment of suspected STIs. After considering three hypothetical case studies, attendants recommended diagnoses, treatments, and, sometimes, physician follow up. Results: Most Mexico City "pharmacists" are actually clerks, with trained pharmacists rarely available on the premises. The average pharmacy attendant was 32 years old, with a median of 5 years' experience at that pharmacy, but very limited (if any) training. 62% reported seeing 10 or more clients with genital or vaginal infections per month. Depending on the case study, attendants provided appropriate diagnoses in 0–12% of cases, recommended appropriate treatments in 12–16% of cases, and suggested physician follow up for 26–67% of cases. Conclusions: In general, surveyed pharmacy personnel were unable to diagnose accurately or offer appropriate treatment advice when presented with classic, common STI symptoms. Given the volume of clients seeking advice from this source, training pharmacy attendants could significantly help to reduce the burden of disease associated with STIs in Mexico City. PMID:12794207

Sharing is Winning: Cooperative Learning about Atmospheric Composition Change

NASA Astrophysics Data System (ADS)

Schuepbach, E.

2010-09-01

This contribution presents evolving good practice in disseminating the body of know-how, skills and competencies within the networked community of atmospheric scientists as established in ACCENT. The promotion of early-career scientists, and encouraging the next generation to move into the field were among the key issues addressed by the "Training and Education" programme in the European Network of Excellence in Atmospheric Composition Change (ACCENT). Dissemination avenues include a virtual knowledge train carrying the wealth of high-quality scientific learning material developed with experts involved in the ACCENT network. Learning opportunities on current research in atmospheric composition change in Europe were also created during face-to-face training workshops. Real-life examples of pressing air quality issues were addressed in meetings with stakeholder groups that offered opportunities for mutual learning in inspiring partnerships. In order to increase the expertise in atmospheric composition change across Europe, activities were organized with the general public (e.g., Café Scientifique), where the participating early-career scientists were confronted with questions from lay people. For interested teachers, didactic translations of compact overviews on air quality science topics developed in ACCENT offer links with the typical European science curriculum and go beyond school book content. Some of the educational events, methods and tools are described in a booklet published in 2009 ("We Care for Clean Air!", ISBN 978-88-95665-01-6). The electronic version and all training material can be downloaded from www.accent-network.org/portal/education - a valuable resource for teachers and learners around the globe.

Active Learning with Irrelevant Examples

NASA Technical Reports Server (NTRS)

Wagstaff, Kiri; Mazzoni, Dominic

2009-01-01

An improved active learning method has been devised for training data classifiers. One example of a data classifier is the algorithm used by the United States Postal Service since the 1960s to recognize scans of handwritten digits for processing zip codes. Active learning algorithms enable rapid training with minimal investment of time on the part of human experts to provide training examples consisting of correctly classified (labeled) input data. They function by identifying which examples would be most profitable for a human expert to label. The goal is to maximize classifier accuracy while minimizing the number of examples the expert must label. Although there are several well-established methods for active learning, they may not operate well when irrelevant examples are present in the data set. That is, they may select an item for labeling that the expert simply cannot assign to any of the valid classes. In the context of classifying handwritten digits, the irrelevant items may include stray marks, smudges, and mis-scans. Querying the expert about these items results in wasted time or erroneous labels, if the expert is forced to assign the item to one of the valid classes. In contrast, the new algorithm provides a specific mechanism for avoiding querying the irrelevant items. This algorithm has two components: an active learner (which could be a conventional active learning algorithm) and a relevance classifier. The combination of these components yields a method, denoted Relevance Bias, that enables the active learner to avoid querying irrelevant data so as to increase its learning rate and efficiency when irrelevant items are present. The algorithm collects irrelevant data in a set of rejected examples, then trains the relevance classifier to distinguish between labeled (relevant) training examples and the rejected ones. The active learner combines its ranking of the items with the probability that they are relevant to yield a final decision about which item to present to the expert for labeling. Experiments on several data sets have demonstrated that the Relevance Bias approach significantly decreases the number of irrelevant items queried and also accelerates learning speed.

Promoting interaction during sociodramatic play: teaching scripts to typical preschoolers and classmates with disabilities.

PubMed Central

Goldstein, H; Cisar, C L

1992-01-01

We investigated the effects of teaching sociodramatic scripts on subsequent interaction among three triads, each containing 2 typical children and 1 child with autistic characteristics. The same type and rate of teacher prompts were implemented throughout structured play observations to avoid the confounding effects of script training and teacher prompting. After learning the scripts, all children demonstrated more frequent theme-related social behavior. These improvements in social-communicative interaction were replicated with the training of three sociodramatic scripts (i.e., pet shop, carnival, magic show) according to a multiple baseline design. These effects were maintained during the training of successive scripts and when the triads were reconstituted to include new but similarly trained partners. Results provided support for the inclusion of systematic training of scripts to enhance interaction among children with and without disabilities during sociodramatic play. PMID:1386068

Prescribed and self-reported seasonal training of distance runners.

PubMed

Hewson, D J; Hopkins, W G

1995-12-01

A survey of 123 distance-running coaches and their best runners was undertaken to describe prescribed seasonal training and its relationship to the performance and self-reported training of the runners. The runners were 43 females and 80 males, aged 24 +/- 8 years (mean +/- S.D.), training for events from 800 m to the marathon, with seasonal best paces of 86 +/- 6% of sex- and age-group world records. The coaches and runners completed a questionnaire on typical weekly volumes of interval and strength training, and typical weekly volumes and paces of moderate and hard continuous running, for build-up, pre-competition, competition and post-competition phases of a season. Prescribed training decreased in volume and increased in intensity from the build-up through to the competition phase, and had similarities with 'long slow distance' training. Coaches of the faster runners prescribed longer build-ups, greater volumes of moderate continuous running and slower relative paces of continuous running (r = 0.19-0.36, P < 0.05), suggesting beneficial effects of not training close to competition pace. The mean training volumes and paces prescribed by the coaches were similar to those reported by the runners, but the correlations between prescribed and reported training were poor (r = 0.2-0.6). Coaches may therefore need to monitor their runners' training more closely.

Quantum Support Vector Machine for Big Data Classification

NASA Astrophysics Data System (ADS)

Rebentrost, Patrick; Mohseni, Masoud; Lloyd, Seth

2014-09-01

Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a quantum computer, with complexity logarithmic in the size of the vectors and the number of training examples. In cases where classical sampling algorithms require polynomial time, an exponential speedup is obtained. At the core of this quantum big data algorithm is a nonsparse matrix exponentiation technique for efficiently performing a matrix inversion of the training data inner-product (kernel) matrix.

Underinvestment in Employer Training: A Mandate to Spend? Invited Reaction: Employer Training--Is a Mandated Tax the Only Solution?

ERIC Educational Resources Information Center

Bishop, John H.; Lynch, Lisa M.

1993-01-01

Using the example of France, Bishop recommends a U.S. training mandate involving a training tax and incentives. Lynch argues that a broader array of options is needed to meet the training needs of new workers, displaced workers, and the unemployed. (SK)

Competencies in Training at the Graduate Student Level: Example of a Pediatric Psychology Seminar Course

PubMed Central

Ievers-Landis, Carolyn E.; Hazen, Rebecca A.; Fehr, Karla K.

2015-01-01

The recently developed competencies in pediatric psychology from the Society of Pediatric Psychology (SPP) Task Force on Competencies and Best Training Practices in Pediatric Psychology provide a benchmark to evaluate training program practices and student progress toward training in level-specific competency goals. Graduate-level training presents a unique challenge for addressing the breadth of competencies required in pediatric psychology while maintaining development of broader clinical psychology training goals. We describe a recurring graduate-level pediatric psychology seminar course that addresses training in a number of the competency cluster areas. The structure of the seminar, examples of classroom topics that correspond with competency cluster areas as well as benchmarks used to evaluate each student’s development in the competency area are provided. Specific challenges in developing and maintaining the seminar in this format are identified, and possible solutions are offered. This training format could serve as a model for established pediatric psychology programs to expand their didactic training goals or for programs without formal pediatric psychology training to address competencies outside of clinical placements. PMID:26900536

Training Social Cognition: From Imitation to Theory of Mind

ERIC Educational Resources Information Center

Santiesteban, Idalmis; White, Sarah; Cook, Jennifer; Gilbert, Sam J.; Heyes, Cecilia; Bird, Geoffrey

2012-01-01

Evidence for successful socio-cognitive training in typical adults is rare. This study attempted to improve Theory of Mind (ToM) and visual perspective taking in healthy adults by training participants to either imitate or to inhibit imitation. Twenty-four hours after training, all participants completed tests of ToM and visual perspective taking.…

Helicopter simulation: Making it work

NASA Technical Reports Server (NTRS)

Payne, Barry

1992-01-01

The opportunities for improved training and checking by using helicopter simulators are greater than they are for airplane pilot training. Simulators permit the safe creation of training environments that are conducive to the development of pilot decision-making, situational awareness, and cockpit management. This paper defines specific attributes required in a simulator to meet a typical helicopter operator's training and checking objectives.

Relationships between rating-of-perceived-exertion- and heart-rate-derived internal training load in professional soccer players: a comparison of on-field integrated training sessions.

PubMed

Campos-Vazquez, Miguel Angel; Mendez-Villanueva, Alberto; Gonzalez-Jurado, Jose Antonio; León-Prados, Juan Antonio; Santalla, Alfredo; Suarez-Arrones, Luis

2015-07-01

To describe the internal training load (ITL) of common training sessions performed during a typical week and to determine the relationships between different indicators of ITL commonly employed in professional football (soccer). Session-rating-of-perceived-exertion TL (sRPE-TL) and heart-rate- (HR) derived measurements of ITL as Edwards TL and Stagno training impulses (TRIMPMOD) were used in 9 players during 3 periods of the season. The relationships between them were analyzed in different training sessions during a typical week: skill drills/circuit training + small-sided games (SCT+SSGs), ball-possession games+technical-tactical exercises (BPG+TTE), tactical training (TT), and prematch activation (PMa). HR values obtained during SCT+SSGs and BPG+TTE were substantially greater than those in the other 2 sessions, all the ITL markers and session duration were substantially greater in SCT+SSGs than in any other session, and all ITL measures in BPG+TTE were substantially greater than in TT and PMa sessions. Large relationships were found between HR>80% HRmax and HR>90% HRmax vs sRPE-TL during BPG+TTE and TT sessions (r=.61-.68). Very large relationships were found between Edwards TL and sRPE-TL and between TRIMPMOD and sRPE-TL in sessions with BPG+TTE and TT (r=.73-.87). Correlations between the different HR-based methods were always extremely large (r=.92-.98), and unclear correlations were observed for other relationships between variables. sRPE-TL provided variable-magnitude within-individual correlations with HR-derived measures of training intensity and load during different types of training sessions typically performed during a week in professional soccer. Caution should be applied when using RPE- or HR-derived measures of exercise intensity/load in soccer training interchangeably.

Technologies and combination therapies for enhancing movement training for people with a disability

PubMed Central

2012-01-01

There has been a dramatic increase over the last decade in research on technologies for enhancing movement training and exercise for people with a disability. This paper reviews some of the recent developments in this area, using examples from a National Science Foundation initiated study of mobility research projects in Europe to illustrate important themes and key directions for future research. This paper also reviews several recent studies aimed at combining movement training with plasticity or regeneration therapies, again drawing in part from European research examples. Such combination therapies will likely involve complex interactions with motor training that must be understood in order to achieve the goal of eliminating severe motor impairment. PMID:22463132

“We Do Science Here”: Underrepresented Students’ Interactions with Faculty in Different College Contexts

PubMed Central

Hurtado, Sylvia; Eagan, M. Kevin; Tran, Minh C.; Newman, Christopher B.; Chang, Mitchell J.; Velasco, Paolo

2011-01-01

Faculty members play a key role in the identification and training of the next generation of scientific talent. In the face of the need to advance and diversify the scientific workforce, we examine whether and how specific institutional contexts shape student interactions with faculty. We conducted a mixed methods study to understand institutional contextual differences in the experiences of aspiring scientists. Data from a qualitative five-campus case study and a quantitative longitudinal study of students from over 117 higher education institutions were analyzed to determine how aspiring scientists interact with faculty and gain access to resources that will help them achieve their educational goals. Findings indicate that important structural differences exist between institutions in shaping students’ interactions with faculty. For example, students at more selective institutions typically have less frequent, less personal interactions with faculty whereas Black students at HBCUs report having more support and frequent interactions with faculty. PMID:23503924

Robust Learning Control Design for Quantum Unitary Transformations.

PubMed

Wu, Chengzhi; Qi, Bo; Chen, Chunlin; Dong, Daoyi

2017-12-01

Robust control design for quantum unitary transformations has been recognized as a fundamental and challenging task in the development of quantum information processing due to unavoidable decoherence or operational errors in the experimental implementation of quantum operations. In this paper, we extend the systematic methodology of sampling-based learning control (SLC) approach with a gradient flow algorithm for the design of robust quantum unitary transformations. The SLC approach first uses a "training" process to find an optimal control strategy robust against certain ranges of uncertainties. Then a number of randomly selected samples are tested and the performance is evaluated according to their average fidelity. The approach is applied to three typical examples of robust quantum transformation problems including robust quantum transformations in a three-level quantum system, in a superconducting quantum circuit, and in a spin chain system. Numerical results demonstrate the effectiveness of the SLC approach and show its potential applications in various implementation of quantum unitary transformations.

Learning gestures for customizable human-computer interaction in the operating room.

PubMed

Schwarz, Loren Arthur; Bigdelou, Ali; Navab, Nassir

2011-01-01

Interaction with computer-based medical devices in the operating room is often challenging for surgeons due to sterility requirements and the complexity of interventional procedures. Typical solutions, such as delegating the interaction task to an assistant, can be inefficient. We propose a method for gesture-based interaction in the operating room that surgeons can customize to personal requirements and interventional workflow. Given training examples for each desired gesture, our system learns low-dimensional manifold models that enable recognizing gestures and tracking particular poses for fine-grained control. By capturing the surgeon's movements with a few wireless body-worn inertial sensors, we avoid issues of camera-based systems, such as sensitivity to illumination and occlusions. Using a component-based framework implementation, our method can easily be connected to different medical devices. Our experiments show that the approach is able to robustly recognize learned gestures and to distinguish these from other movements.

The Research Doesn't Always Apply: Practical Solutions to Evidence-Based Training-Load Monitoring in Elite Team Sports.

PubMed

Burgess, Darren J

2017-04-01

Research describing load-monitoring techniques for team sport is plentiful. Much of this research is conducted retrospectively and typically involves recreational or semielite teams. Load-monitoring research conducted on professional team sports is largely observational. Challenges exist for the practitioner in implementing peer-reviewed research into the applied setting. These challenges include match scheduling, player adherence, manager/coach buy-in, sport traditions, and staff availability. External-load monitoring often attracts questions surrounding technology reliability and validity, while internal-load monitoring makes some assumptions about player adherence, as well as having some uncertainty around the impact these measures have on player performance This commentary outlines examples of load-monitoring research, discusses the issues associated with the application of this research in an elite team-sport setting, and suggests practical adjustments to the existing research where necessary.

Compassion fatigue and burnout: what managers should know.

PubMed

Slatten, Lise Anne; David Carson, Kerry; Carson, Paula Phillips

2011-01-01

Most health care employees experience and are bolstered by compassion satisfaction as they deal with patients in need. However, the more empathetic a health care provider is, the more likely he or she will experience compassion fatigue. Compassion fatigue is a negative syndrome that occurs when dealing with the traumatic experiences of patients, and examples of symptoms include intrusive thoughts, sleeping problems, and depression. Compassion fatigue is different from burnout. Compassion fatigue is a rapidly occurring disorder for primary health care workers who work with suffering patients, whereas burnout, a larger construct, is a slowly progressing disorder for employees who typically are working in burdensome organizational environments. Managers can mitigate problems associated with compassion fatigue with a number of interventions including patient reassignments, formal mentoring programs, employee training, and a compassionate organizational culture. With burnout, health care managers will want to focus primarily on chronic organizational problems.

Reengineering the retail/ambulatory pharmacy for provision of biotechnology pharmaceutical services.

PubMed

Schneider, P J

1998-07-01

Biotechnology products offer both problems and opportunities for pharmacists. On one hand, they are expensive to purchase and keep on inventory. Typical compensation for outpatient prescriptions does not offset the cost of maintaining the inventory, or providing the education and training that patients often need to use biotechnology products properly. On the other hand, there are issues related to proper storage, preparation, and administration for which pharmacists are well prepared to address. Pharmacists are also convenient, trusted, and provide service at relatively low cost. Examples of special services that pharmacists can provide to improve the use of biotechnology products include patient education, injection clinics, provision of medical supplies, and predrawing syringes for patients. Patients are often sent to many providers for these services, resulting in inconvenience and fragmentation of care. If new compensation methods can be established to support more comprehensive pharmacy services, the use of biotechnology products by patients will improve.

A Paradox of Power: Voices of Warning and Reason in the Geosciences

NASA Astrophysics Data System (ADS)

Thompson, Douglas

As a culture, we are faced with a series of increasingly complex environmental problems. As geoscientists, we are often asked to assume the role of technical experts to provide guidance or solutions to these difficult dilemmas. Unfortunately, the political, social, economic, and judicial aspects of environmental management often require geoscientists to advocate choices or provide definitive answers that are in conflict with our training as never-ending hypothesis testers and unbiased observers of nature.A Paradox of Power: Voices of Warning and Reason in the Geosciences addresses this topic by providing a collection of works that highlights various discrepancies between standard scientific procedures and the public decision-making process. The book presents a range of views and examples that provides geoscientists with a background on the issues surrounding the use of their expertise and analyses in typical law and policy decisions.

Composing problem solvers for simulation experimentation: a case study on steady state estimation.

PubMed

Leye, Stefan; Ewald, Roland; Uhrmacher, Adelinde M

2014-01-01

Simulation experiments involve various sub-tasks, e.g., parameter optimization, simulation execution, or output data analysis. Many algorithms can be applied to such tasks, but their performance depends on the given problem. Steady state estimation in systems biology is a typical example for this: several estimators have been proposed, each with its own (dis-)advantages. Experimenters, therefore, must choose from the available options, even though they may not be aware of the consequences. To support those users, we propose a general scheme to aggregate such algorithms to so-called synthetic problem solvers, which exploit algorithm differences to improve overall performance. Our approach subsumes various aggregation mechanisms, supports automatic configuration from training data (e.g., via ensemble learning or portfolio selection), and extends the plugin system of the open source modeling and simulation framework James II. We show the benefits of our approach by applying it to steady state estimation for cell-biological models.

Training in Multiple Launch Rocket System Units

DTIC Science & Technology

1992-04-01

training conducted is Section-level training. This training is typically conducted in the garrison environment , rather than in the field. 29 4. The major... environment . Such vehicles could also be used to train on land navigation and other terrain appreciation and analysis tasks, movement techniques, and...including Batery , Platoon, and Section, of the person interviewed. Valid values for Battery are A through I. Valid codes for Platoon are 1 through 3

Query construction, entropy, and generalization in neural-network models

NASA Astrophysics Data System (ADS)

Sollich, Peter

1994-05-01

We study query construction algorithms, which aim at improving the generalization ability of systems that learn from examples by choosing optimal, nonredundant training sets. We set up a general probabilistic framework for deriving such algorithms from the requirement of optimizing a suitable objective function; specifically, we consider the objective functions entropy (or information gain) and generalization error. For two learning scenarios, the high-low game and the linear perceptron, we evaluate the generalization performance obtained by applying the corresponding query construction algorithms and compare it to training on random examples. We find qualitative differences between the two scenarios due to the different structure of the underlying rules (nonlinear and ``noninvertible'' versus linear); in particular, for the linear perceptron, random examples lead to the same generalization ability as a sequence of queries in the limit of an infinite number of examples. We also investigate learning algorithms which are ill matched to the learning environment and find that, in this case, minimum entropy queries can in fact yield a lower generalization ability than random examples. Finally, we study the efficiency of single queries and its dependence on the learning history, i.e., on whether the previous training examples were generated randomly or by querying, and the difference between globally and locally optimal query construction.

The Effect of Context on Training: Is Learning Situated?

DTIC Science & Technology

1994-09-13

not underlie the central processes of ordinary everyday cognition ? We think not." There are numerous examples where abstract instruction has been shown... instruction , concrete examples, and abstract rules and procedures. Claims made by proponents of Situated Learning Theory suggest that training must be... instruction . This argues against apprenticeship learning during early stages of acquisition for many skills. Further, too much fidelity in simulation may

Multiple Point Statistics algorithm based on direct sampling and multi-resolution images

NASA Astrophysics Data System (ADS)

Julien, S.; Renard, P.; Chugunova, T.

2017-12-01

Multiple Point Statistics (MPS) has become popular for more than one decade in Earth Sciences, because these methods allow to generate random fields reproducing highly complex spatial features given in a conceptual model, the training image, while classical geostatistics techniques based on bi-point statistics (covariance or variogram) fail to generate realistic models. Among MPS methods, the direct sampling consists in borrowing patterns from the training image to populate a simulation grid. This latter is sequentially filled by visiting each of these nodes in a random order, and then the patterns, whose the number of nodes is fixed, become narrower during the simulation process, as the simulation grid is more densely informed. Hence, large scale structures are caught in the beginning of the simulation and small scale ones in the end. However, MPS may mix spatial characteristics distinguishable at different scales in the training image, and then loose the spatial arrangement of different structures. To overcome this limitation, we propose to perform MPS simulation using a decomposition of the training image in a set of images at multiple resolutions. Applying a Gaussian kernel onto the training image (convolution) results in a lower resolution image, and iterating this process, a pyramid of images depicting fewer details at each level is built, as it can be done in image processing for example to lighten the space storage of a photography. The direct sampling is then employed to simulate the lowest resolution level, and then to simulate each level, up to the finest resolution, conditioned to the level one rank coarser. This scheme helps reproduce the spatial structures at any scale of the training image and then generate more realistic models. We illustrate the method with aerial photographies (satellite images) and natural textures. Indeed, these kinds of images often display typical structures at different scales and are well-suited for MPS simulation techniques.

Typical balance exercises or exergames for balance improvement?

PubMed

Gioftsidou, Asimenia; Vernadakis, Nikolaos; Malliou, Paraskevi; Batzios, Stavros; Sofokleous, Polina; Antoniou, Panagiotis; Kouli, Olga; Tsapralis, Kyriakos; Godolias, George

2013-01-01

Balance training is an effective intervention to improve static postural sway and balance. The purpose of the present study was to investigate the effectiveness of the Nintendo Wii Fit Plus exercises for improving balance ability in healthy collegiate students in comparison with a typical balance training program. Forty students were randomly divided into two groups, a traditional (T group) and a Nintendo Wii group (W group) performed an 8 week balance program. The "W group" used the interactive games as a training method, while the "T group" used an exercise program with mini trampoline and inflatable discs (BOSU). Pre and Post-training participants completed balance assessments. Two-way repeated measures analyses of variance (ANOVAs) were conducted to determine the effect of training program. Analysis of the data illustrated that both training program groups demonstrated an improvement in Total, Anterior-posterior and Medial Lateral Stability Index scores for both limbs. Only at the test performed in the balance board with anterior-posterior motion, the improvement in balance ability was greater in the "T group" than the "W group", when the assessment was performed post-training (p=0.023). Findings support the effectiveness of using the Nintendo Wii gaming console as a balance training intervention tool.

Adult Education as Training in Business and Industry. TECHNIQUES.

ERIC Educational Resources Information Center

Young, Deborah J.

1984-01-01

Over a 5-week period 43 typical trainers in a nationwide corporation were observed to determine uses and abuses of training techniques. The adult educators who were observed were technically expert, but otherwise untrained. Factors that enhance or detract from training effectiveness were identified, specifically as regards organizing and…

Functional Assessment and Treatment of Migraine Reports and School Absences in an Adolescent with Asperger's Disorder

ERIC Educational Resources Information Center

Arvans, Rebecca K.; LeBlanc, Linda A.

2009-01-01

Psychological interventions for migraines typically include biofeedback training, stress-management training, or relaxation training and are implemented without consideration of environmental variables that might maintain migraines or complaints of migraines. An adolescent with daily reports of migraines that negatively impacted school attendance…

A forestry application simulation of man-machine techniques for analyzing remotely sensed data

NASA Technical Reports Server (NTRS)

Berkebile, J.; Russell, J.; Lube, B.

1976-01-01

The typical steps in the analysis of remotely sensed data for a forestry applications example are simulated. The example uses numerically-oriented pattern recognition techniques and emphasizes man-machine interaction.

Example-Based Learning: Effects of Model Expertise in Relation to Student Expertise

ERIC Educational Resources Information Center

Boekhout, Paul; van Gog, Tamara; van de Wiel, Margje W. J.; Gerards-Last, Dorien; Geraets, Jacques

2010-01-01

Background: Worked examples are very effective for novice learners. They typically present a written-out ideal (didactical) solution for learners to study. Aims: This study used worked examples of patient history taking in physiotherapy that presented a "non"-didactical solution (i.e., based on actual performance). The effects of model expertise…

78 FR 61227 - Public Assistance Cost Estimating Format for Large Projects

Federal Register 2010, 2011, 2012, 2013, 2014

2013-10-03

... itemized breakdown of construction costs for completing the project. For example, a typical project will... percentage factors. For example, if a Part B percentage factor is 2 percent, the estimator adds 2 percent of... specific to the project scope of work. Examples include concrete strength testing, water quality testing...

Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs: an example from the Ocean Drilling Program

NASA Astrophysics Data System (ADS)

Benaouda, D.; Wadge, G.; Whitmarsh, R. B.; Rothwell, R. G.; MacLeod, C.

1999-02-01

In boreholes with partial or no core recovery, interpretations of lithology in the remainder of the hole are routinely attempted using data from downhole geophysical sensors. We present a practical neural net-based technique that greatly enhances lithological interpretation in holes with partial core recovery by using downhole data to train classifiers to give a global classification scheme for those parts of the borehole for which no core was retrieved. We describe the system and its underlying methods of data exploration, selection and classification, and present a typical example of the system in use. Although the technique is equally applicable to oil industry boreholes, we apply it here to an Ocean Drilling Program (ODP) borehole (Hole 792E, Izu-Bonin forearc, a mixture of volcaniclastic sandstones, conglomerates and claystones). The quantitative benefits of quality-control measures and different subsampling strategies are shown. Direct comparisons between a number of discriminant analysis methods and the use of neural networks with back-propagation of error are presented. The neural networks perform better than the discriminant analysis techniques both in terms of performance rates with test data sets (2-3 per cent better) and in qualitative correlation with non-depth-matched core. We illustrate with the Hole 792E data how vital it is to have a system that permits the number and membership of training classes to be changed as analysis proceeds. The initial classification for Hole 792E evolved from a five-class to a three-class and then to a four-class scheme with resultant classification performance rates for the back-propagation neural network method of 83, 84 and 93 per cent respectively.

Training Paraprofessionals to Improve Socialization in Students with ASD

PubMed Central

Koegel, Robert L.; Kim, Sunny; Koegel, Lynn Kern

2014-01-01

An important line of research relates to whether school personnel, such as paraprofessionals, who are present during unstructured social periods, such as lunch-recess, could successfully implement interventions to improve socialization between students with ASD and their typical peers in a group setting. Therefore, within the context of a multiple baseline across participants design, we assessed whether training paraprofessionals to provide social interventions would enhance social development in students with ASD in a group setting. Results showed that paraprofessionals who were not providing any social opportunities during baseline were able to meet fidelity of implementation following a brief training. Consequently, the children with ASD increased their levels of engagement and rates of initiation with typically developing peers following intervention. Implications for training paraprofessionals to implement effective social interventions for students with ASD are discussed. PMID:24671749

Effective learning and retention of braille letter tactile discrimination skills in children with developmental dyslexia.

PubMed

Hayek, Maisam; Dorfberger, Shoshi; Karni, Avi

2016-01-01

Children with developmental dyslexia (DD) may differ from typical readers in aspects other than reading. The notion of a general deficit in the ability to acquire and retain procedural ('how to') knowledge as long-term procedural memory has been proposed. Here, we compared the ability of elementary school children, with and without reading difficulties (DD, typical readers), to improve their tactile discrimination with practice and tested the children's ability to retain the gains. Forty 10-11-year-olds practiced the tactile discrimination of four braille letters, presented as pairs, while blindfolded. In a trial, participants were asked to report whether the target stimuli were identical or different from each other. The structured training session consisted of six blocks of 16 trials each. Performance was re-tested at 24 hours and two weeks post-training. Both groups improved in speed and in accuracy. In session 1, children with DD started as significantly less accurate and were slower than the typical readers but showed rapid learning and successfully closed the gap. Only two children with DD failed to benefit from training and were not included in subsequent data analyses. At 24 hours post-training both groups showed effective retention of the gains in speed and accuracy. Importantly, children with DD were able to retain the gains in speed and accuracy, over a two-week interval as effectively as typical readers. Thus, children with DD were as effective in the acquisition and retention of tactile discrimination of braille letters as typical readers of the same age. The results do not support the notion of a general procedural learning disability in DD. © 2015 John Wiley & Sons Ltd.

Technical Performance Measures and Distributed-Simulation Training Systems

DTIC Science & Technology

2000-01-01

and Salas (1995) indicate that “ free play ” training exercises Acquisition Review Quarterly—Winter 2000 24 “The use of both process measures to...performance change from training period to training period, whereas the alternative to “ free play ”—a structured exercise—was expensive to build and...semiautomated-force operators used their “ free play ” prerogative in the second run. Specifically, units typically train against a lesser able opposing force

Nuclear criticality safety: 5-day training course

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

Schlesser, J.A.

1992-11-01

This compilation of notes is presented as a source reference for the criticality safety course. It represents the contributions of many people, particularly Tom McLaughlin, the course's primary instructor. At the completion of this training course, the attendee will: be able to define terms commonly used in nuclear criticality safety; be able to appreciate the fundamentals of nuclear criticality safety; be able to identify factors which affect nuclear criticality safety; be able to identify examples of criticality controls as used at Los Alamos; be able to identify examples of circumstances present during criticality accidents; be able to identify examples ofmore » computer codes used by the nuclear criticality safety specialist; be able to identify examples of safety consciousness required in nuclear criticality safety.« less

Active learning in the presence of unlabelable examples

NASA Technical Reports Server (NTRS)

Mazzoni, Dominic; Wagstaff, Kiri

2004-01-01

We propose a new active learning framework where the expert labeler is allowed to decline to label any example. This may be necessary because the true label is unknown or because the example belongs to a class that is not part of the real training problem. We show that within this framework, popular active learning algorithms (such as Simple) may perform worse than random selection because they make so many queries to the unlabelable class. We present a method by which any active learning algorithm can be modified to avoid unlabelable examples by training a second classifier to distinguish between the labelable and unlabelable classes. We also demonstrate the effectiveness of the method on two benchmark data sets and a real-world problem.

Teaching practical wisdom in medicine through clinical judgement, goals of care, and ethical reasoning.

PubMed

Kaldjian, Lauris Christopher

2010-09-01

Clinical decision making is a challenging task that requires practical wisdom-the practised ability to help patients choose wisely among available diagnostic and treatment options. But practical wisdom is not a concept one typically hears mentioned in medical training and practice. Instead, emphasis is placed on clinical judgement. The author draws from Aristotle and Aquinas to describe the virtue of practical wisdom and compare it with clinical judgement. From this comparison, the author suggests that a more complete understanding of clinical judgement requires its explicit integration with goals of care and ethical values. Although clinicians may be justified in assuming that goals of care and ethical values are implicit in routine decision making, it remains important for training purposes to encourage habits of clinical judgement that are consciously goal-directed and ethically informed. By connecting clinical judgement to patients' goals and values, clinical decisions are more likely to stay focused on the particular interests of individual patients. To cultivate wise clinical judgement among trainees, educational efforts should aim at the integration of clinical judgement, communication with patients about goals of care, and ethical reasoning. But ultimately, training in wise clinical judgement will take years of practice in the company of experienced clinicians who are able to demonstrate practical wisdom by example. By helping trainees develop clinical judgement that incorporates patients' goals of care and ethical reasoning, we may help lessen the risk that 'clinical judgement' will merely express 'the clinician's judgement.'

Criteria to find qualified candidates--professional personnel recruitment methods adapted to neurosurgery.

PubMed

Gilsbach, J M; Pillong, A

1997-01-01

A neurosurgeon has not received any special training in personnel recruitment at the time he becomes chief of a department. Consequently, a suboptimal personnel policy is most probable. Due to the rapid changes in social behaviour and style of leadership in postwar Europe, he might be ill advised to follow only the example of his successful predecessors, apart from the fact, that this would only be possible if the personalities (of the former and new chief) were similar. To save time and energy for optimal patient care, personnel recruitment can be improved and made more reproducible and reliable by adopting modern, professional non-medical principles. A typical stepwise process of personnel recruitment includes an analysis of the position and function, the definition of demands and offers, the choice of advertising and searching methods, the analysis of the application documents, the interview with the candidate including its re-evaluation and the ongoing evaluation process during the training. This election process is not only conducted by the chief of a department, but also by senior staff-members and even young, competing assistants. It aims to find the candidate who fits best in the requirements, who will be trained and educated with the least effort and who has the best potential to succeed in the long run. The only factors seemingly predicting a good development of a candidate are personality, energy (potential, motivation) and intelligence. Therefore, the search should especially aim to discover these-admittedly difficult to detect-qualities.

Training the gastrointestinal endoscopy trainer.

PubMed

Waschke, Kevin A; Anderson, John; Macintosh, Donald; Valori, Roland M

2016-06-01

Endoscopy training has traditionally been accomplished by an informal process in the endoscopy unit that parallels apprenticeship training seen in other areas of professional education. Subsequent to an audit, a series of interventions were implemented in the English National Health Service to support both service delivery and to improve endoscopy training. The resulting training centers deliver a variety of hands-on endoscopy courses, established in parallel with the roll out of a colon cancer screening program that monitors and documents quality outcomes among endoscopists. The program developed a 'training the trainer' module that subsequently became known as the Training the Colonoscopy Trainer course (TCT). Several years after its implementation, colonoscopy quality outcomes in the UK have improved substantially. The core TCT program has spread to other countries with demonstration of a marked impact on endoscopy training and performance. The aim of this chapter is to describe the principles that underlie effective endoscopy training in this program using the TCT as an example. While the review focuses on the specific example of colonoscopy training, the approach is generic to the teaching of any technical skill; it has been successfully transferred to the teaching of laparoscopic surgery as well as other endoscopic techniques. Copyright © 2016 Elsevier Ltd. All rights reserved.

The University-Public Health Partnership for Public Health Research Training in Quebec, Canada.

PubMed

Paradis, Gilles; Hamelin, Anne-Marie; Malowany, Maureen; Levy, Joseph; Rossignol, Michel; Bergeron, Pierre; Kishchuk, Natalie

2017-01-01

Enhancing effective preventive interventions to address contemporary public health problems requires improved capacity for applied public health research. A particular need has been recognized for capacity development in population health intervention research to address the complex multidisciplinary challenges of developing, implementing, and evaluating public health practices, intervention programs, and policies. Research training programs need to adapt to these new realities. We have presented an example of a 2003 to 2015 training program in transdisciplinary research on public health interventions that embedded doctoral and postdoctoral trainees in public health organizations in Quebec, Canada. This university-public health partnership for research training is an example of how to link science and practice to meet emerging needs in public health.

Hazardous Materials Emergency Response Training: The Colorado Training Institute. Innovations.

ERIC Educational Resources Information Center

Cole, Leslie

The Colorado Training Institute (CTI), established in 1980, is a non-profit, instructional program devoted to promoting hazardous materials safety through education. It has trained over 3,000 emergency response personnel and industry officials and is a unique example of the private and public sectors working together to protect the public from…

Does Curriculum Practical Training Affect Engineers' Workplace Outcomes? Evidence from an Engineer Survey in China

ERIC Educational Resources Information Center

Li, Jing; Zhang, Yu; Tsang, Mun; Li, Manli

2015-01-01

With the increasing attention to STEM (Science, Technology, Engineering, and Math), hands-on Curriculum Practical Training (CPT) has been expanding rapidly worldwide as a requirement of the undergraduate engineering education. In China, a typical CPT for undergraduate engineering students requires several weeks of hands-on training in the…

Training Programs for Nontraditional Jobs for Older Adults. Final Report.

ERIC Educational Resources Information Center

Branscum, Shelba Y.

A project proposed to organize and teach a series of training programs on nontraditional jobs for adults over age 55. Nontraditional was defined as any work situation other than full-time, historically-typical jobs in a community. Project staff developed four training classes in small appliance repair, plant care, mother's care, food preparation…

An Overview of Undergraduate Training in Cultural Competency and Cross-Cultural Psychiatry

ERIC Educational Resources Information Center

Lyons, Zaza; Laugharne, Jonathan

2011-01-01

Multiculturalism is a familiar concept in many developed countries. While cultural competency training is part of most medical curricula, training in cultural psychiatry at the undergraduate level is typically minimal. It is important that medical graduates are both culturally competent and able to respond to the mental health needs of patients…

Understanding by Design: Mentored Implementation of Backward Design Methodology at the University Level

ERIC Educational Resources Information Center

Michael, Nancy A.; Libarkin, Julie C.

2016-01-01

Unless sought out by the individual, University and College faculty typically receive minimal, if any, pedagogical training as part of their career development. This perspectives essay first introduces pedagogical training for instructors in higher education by comparing it to the training required for primary and secondary school educators. Using…

Toilet Training Individuals with Autism and Other Developmental Disabilities: A Critical Review

ERIC Educational Resources Information Center

Kroeger, K. A.; Sorensen-Burnworth, Rena

2009-01-01

The following article reviews the current literature addressing toilet training individuals with autism and other developmental disabilities. The review addresses programs typical to toilet training the developmental disability population, most of which are modeled after the original Foxx and Azrin [Azrin, N. H., & Foxx, R. M. (1971). A rapid…

Peer-Directed, Brief Mindfulness Training with Adolescents: A Pilot Study

ERIC Educational Resources Information Center

Jennings, Samuel J.; Jennings, Jerry L.

2013-01-01

This pilot study studied the impact of brief mindfulness meditation training with adolescents. Whereas adult mindfulness training programs typically entail weekly 2.5 hour sessions over an eight week period, this program delivered four 50-minute sessions within a three week period. Each session was comprised of two mindfulness exercises delivered…

Comparing the Effects of Home versus Clinic-Based Parent Training for Children with Autism

ERIC Educational Resources Information Center

Crone, Regina M.

2010-01-01

Research with parents on managing child problem behavior typically measures either child or parent behavior. This study was designed to evaluate the effectiveness of training parents to implement a function-based behavior intervention plan (BIP) in a non-trained natural environment utilizing a Multiple Probe Design across Participants.…

Modelling and analysis of the crush zone of a typical Australian passenger train

NASA Astrophysics Data System (ADS)

Sun, Y. Q.; Cole, C.; Dhanasekar, M.; Thambiratnam, D. P.

2012-07-01

In this paper, a three-dimensional nonlinear rigid body model has been developed for the investigation of the crashworthiness of a passenger train using the multibody dynamics approach. This model refers to a typical design of passenger cars and train constructs commonly used in Australia. The high-energy and low-energy crush zones of the cars and the train constructs are assumed and the data are explicitly provided in the paper. The crash scenario is limited to the train colliding on to a fixed barrier symmetrically. The simulations of a single car show that this initial design is only applicable for the crash speed of 35 km/h or lower. For higher speeds (e.g. 140 km/h), the crush lengths or crush forces or both the crush zone elements will have to be enlarged. It is generally better to increase the crush length than the crush force in order to retain the low levels of the longitudinal deceleration of the passenger cars.

A public health training center experience: professional continuing education at schools of public health.

PubMed

Potter, Margaret A; Fertman, Carl I; Eggleston, Molly M; Holtzhauer, Frank; Pearsol, Joanne

2008-01-01

The Public Health Training Center (PHTC) national program was first established at accredited schools of public health in 2000. The PHTC program used the US Health Resources and Services Administration's grants to build workforce development programs, attracting schools as training providers and the workforce as training clients. This article is a reflection on the experience of two schools, whose partnership supported one of the PHTCs, for the purpose of opening a conversation about the future of continuing education throughout schools and degree programs of public health. This partnership, the Pennsylvania & Ohio Public Health Training Center (POPHTC), concentrated its funding on more intensive training of public healthcare workers through a relatively narrow inventory of courses that were delivered typically in-person rather than by distance-learning technologies. This approach responded to the assessed needs and preferences of the POPHTC's workforce population. POPHTC's experience may not be typical among the PHTCs nationally, but the collective experience of all PHTCs is instructive to schools of public health as they work to meet an increasing demand for continuing education from the public health workforce.

What Is "Typical" for Different Kinds of Data? Examples from the Melbourne Cup

ERIC Educational Resources Information Center

Watson, Jane

2014-01-01

There are five words that are critical to an appreciation of what is "typical" in data sets that students encounter across the middle school years. The first three words--mean, median and mode--are nouns that define measures of typicality in data sets. The next two words--categorical and numerical--are adjectives that describe the types…

A primer on medical education in the United States through the lens of a current resident physician.

PubMed

Mowery, Yvonne M

2015-10-01

Physician training and standards for medical licensure differ widely across the globe. The medical education process in the United States (US) typically involves a minimum of 11 years of formal training and multiple standardized examinations between graduating from secondary school and becoming an attending physician with full medical licensure. Students in the US traditionally enter a 4-year medical school after completing an undergraduate bachelor's degree, in contrast to most other countries where medical training begins after graduation from high school. Medical school seniors planning to practice medicine in the US must complete postgraduate clinical training, referred to as residency, within the specialty of their choosing. The duration of residency varies depending on specialty, typically lasting between 3 and 7 years. For subspecialty fields, additional clinical training is often required in the form of a fellowship. Many experts have called for changes in the medical education system to shorten medical training in the US, and reforms are ongoing in some institutions. However, physician education in the US generally remains a progression from undergraduate premedical coursework to 4 years of medical school, followed by residency training with an optional subspecialty fellowship.

A primer on medical education in the United States through the lens of a current resident physician

PubMed Central

2015-01-01

Physician training and standards for medical licensure differ widely across the globe. The medical education process in the United States (US) typically involves a minimum of 11 years of formal training and multiple standardized examinations between graduating from secondary school and becoming an attending physician with full medical licensure. Students in the US traditionally enter a 4-year medical school after completing an undergraduate bachelor’s degree, in contrast to most other countries where medical training begins after graduation from high school. Medical school seniors planning to practice medicine in the US must complete postgraduate clinical training, referred to as residency, within the specialty of their choosing. The duration of residency varies depending on specialty, typically lasting between 3 and 7 years. For subspecialty fields, additional clinical training is often required in the form of a fellowship. Many experts have called for changes in the medical education system to shorten medical training in the US, and reforms are ongoing in some institutions. However, physician education in the US generally remains a progression from undergraduate premedical coursework to 4 years of medical school, followed by residency training with an optional subspecialty fellowship. PMID:26623123

A primer on medical education in the United States through the lens of a current resident physician

PubMed Central

2015-01-01

Physician training and standards for medical licensure differ widely across the globe. The medical education process in the United States (US) typically involves a minimum of 11 years of formal training and multiple standardized examinations between graduating from secondary school and becoming an attending physician with full medical licensure. Students in the US traditionally enter a 4-year medical school after completing an undergraduate bachelor’s degree, in contrast to most other countries where medical training begins after graduation from high school. Medical school seniors planning to practice medicine in the US must complete postgraduate clinical training, referred to as residency, within the specialty of their choosing. The duration of residency varies depending on specialty, typically lasting between 3 and 7 years. For subspecialty fields, additional clinical training is often required in the form of a fellowship. Many experts have called for changes in the medical education system to shorten medical training in the US, and reforms are ongoing in some institutions. However, physician education in the US generally remains a progression from undergraduate premedical coursework to 4 years of medical school, followed by residency training with an optional subspecialty fellowship. PMID:26605316

Galactic Train Wrecks

NASA Image and Video Library

2011-05-25

This montage combines observations from NASA Spitzer Space Telescope and NASA Galaxy Evolution Explorer GALEX spacecraft showing three examples of colliding galaxies from a new photo atlas of galactic train wrecks.

An Example-Based Super-Resolution Algorithm for Selfie Images

PubMed Central

William, Jino Hans; Venkateswaran, N.; Narayanan, Srinath; Ramachandran, Sandeep

2016-01-01

A selfie is typically a self-portrait captured using the front camera of a smartphone. Most state-of-the-art smartphones are equipped with a high-resolution (HR) rear camera and a low-resolution (LR) front camera. As selfies are captured by front camera with limited pixel resolution, the fine details in it are explicitly missed. This paper aims to improve the resolution of selfies by exploiting the fine details in HR images captured by rear camera using an example-based super-resolution (SR) algorithm. HR images captured by rear camera carry significant fine details and are used as an exemplar to train an optimal matrix-value regression (MVR) operator. The MVR operator serves as an image-pair priori which learns the correspondence between the LR-HR patch-pairs and is effectively used to super-resolve LR selfie images. The proposed MVR algorithm avoids vectorization of image patch-pairs and preserves image-level information during both learning and recovering process. The proposed algorithm is evaluated for its efficiency and effectiveness both qualitatively and quantitatively with other state-of-the-art SR algorithms. The results validate that the proposed algorithm is efficient as it requires less than 3 seconds to super-resolve LR selfie and is effective as it preserves sharp details without introducing any counterfeit fine details. PMID:27064500

Case-based statistical learning applied to SPECT image classification

NASA Astrophysics Data System (ADS)

Górriz, Juan M.; Ramírez, Javier; Illán, I. A.; Martínez-Murcia, Francisco J.; Segovia, Fermín.; Salas-Gonzalez, Diego; Ortiz, A.

2017-03-01

Statistical learning and decision theory play a key role in many areas of science and engineering. Some examples include time series regression and prediction, optical character recognition, signal detection in communications or biomedical applications for diagnosis and prognosis. This paper deals with the topic of learning from biomedical image data in the classification problem. In a typical scenario we have a training set that is employed to fit a prediction model or learner and a testing set on which the learner is applied to in order to predict the outcome for new unseen patterns. Both processes are usually completely separated to avoid over-fitting and due to the fact that, in practice, the unseen new objects (testing set) have unknown outcomes. However, the outcome yields one of a discrete set of values, i.e. the binary diagnosis problem. Thus, assumptions on these outcome values could be established to obtain the most likely prediction model at the training stage, that could improve the overall classification accuracy on the testing set, or keep its performance at least at the level of the selected statistical classifier. In this sense, a novel case-based learning (c-learning) procedure is proposed which combines hypothesis testing from a discrete set of expected outcomes and a cross-validated classification stage.

Improvement of fungal disease identification and management: combined health systems and public health approaches.

PubMed

Cole, Donald C; Govender, Nelesh P; Chakrabarti, Arunaloke; Sacarlal, Jahit; Denning, David W

2017-12-01

More than 1·6 million people are estimated to die of fungal diseases each year, and about a billion people have cutaneous fungal infections. Fungal disease diagnosis requires a high level of clinical suspicion and specialised laboratory testing, in addition to culture, histopathology, and imaging expertise. Physicians with varied specialist training might see patients with fungal disease, yet it might remain unrecognised. Antifungal treatment is more complex than treatment for bacterial or most viral infections, and drug interactions are particularly problematic. Health systems linking diagnostic facilities with therapeutic expertise are typically fragmented, with major elements missing in thousands of secondary care and hospital settings globally. In this paper, the last in a Series of eight papers, we describe these limitations and share responses involving a combined health systems and public health framework illustrated through country examples from Mozambique, Kenya, India, and South Africa. We suggest a mainstreaming approach including greater integration of fungal diseases into existing HIV infection, tuberculosis infection, diabetes, chronic respiratory disease, and blindness health programmes; provision of enhanced laboratory capacity to detect fungal diseases with associated surveillance systems; procurement and distribution of low-cost, high-quality antifungal medicines; and concomitant integration of fungal disease into training of the health workforce. Copyright © 2017 Elsevier Ltd. All rights reserved.

Interpreting Power-Force-Velocity Profiles for Individualized and Specific Training.

PubMed

Morin, Jean-Benoît; Samozino, Pierre

2016-03-01

Recent studies have brought new insights into the evaluation of power-force-velocity profiles in both ballistic push-offs (eg, jumps) and sprint movements. These are major physical components of performance in many sports, and the methods the authors developed and validated are based on data that are now rather simple to obtain in field conditions (eg, body mass, jump height, sprint times, or velocity). The promising aspect of these approaches is that they allow for more individualized and accurate evaluation, monitoring, and training practices, the success of which is highly dependent on the correct collection, generation, and interpretation of athletes' mechanical outputs. The authors therefore wanted to provide a practical vade mecum to sports practitioners interested in implementing these power-force-velocity-profiling approaches. After providing a summary of theoretical and practical definitions for the main variables, the authors first detail how vertical profiling can be used to manage ballistic push-off performance, with emphasis on the concept of optimal force-velocity profile and the associated force-velocity imbalance. Furthermore, they discuss these same concepts with regard to horizontal profiling in the management of sprinting performance. These sections are illustrated by typical examples from the authors' practice. Finally, they provide a practical and operational synthesis and outline future challenges that will help further develop these approaches.

Exercise Habit

MedlinePlus

... and lungs. Examples of aerobic exercise include walking, hiking, running, aerobic dance, biking, rowing, swimming, and cross- ... Examples of weight-bearing exercise include walking, yoga, hiking, climbing stairs, playing tennis, dancing, and strength training. ...

Examples of Cancer Health Disparities

MedlinePlus

... Review & Outcomes Award Issuance Manage Your Award Grants Management Contacts Monitoring Prior Approvals Annual Reporting & Auditing Grant Transfer Grant Closeout Contracts & Small Business Training Cancer Training at NCI (Intramural) Resources for ...

Changes in Behavior and Salivary Cortisol after Targeted Cognitive Training in Typical 12-Month-Old Infants

ERIC Educational Resources Information Center

Wass, Sam V.; Cook, Clare; Clackson, Kaili

2017-01-01

Previous research has suggested that early development may be an optimal period to implement cognitive training interventions, particularly those relating to attention control, a basic ability that is essential for the development of other cognitive skills. In the present study, we administered gaze-contingent training (95 min across 2 weeks)…

Peer-Facilitated Discrete Trial Training for Children with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Young, K. Richard; Radley, Keith C.; Jenson, William R.; West, Richard P.; Clare, Susan K.

2016-01-01

In 2 studies, we evaluated the feasibility and efficacy of peer-mediated, school-based discrete trial training (DTT) for students with autism spectrum disorder (ASD). In the first, 6 typically developing elementary-age students were trained to use DTT procedures to teach target academic skills to 3 students with ASD who had been educated in a…

Working Memory Training in Typically Developing Children: A Meta-Analysis of the Available Evidence

ERIC Educational Resources Information Center

Sala, Giovanni; Gobet, Fernand

2017-01-01

The putative effectiveness of working memory (WM) training at enhancing cognitive and academic skills is still ardently debated. Several researchers have claimed that WM training fosters not only skills such as visuospatial WM and short-term memory (STM), but also abilities outside the domain of WM, such as fluid intelligence and mathematics.…

Physiological Alterations Observed in Young Competitive Swimmers During Three Years of Intensive Training.

ERIC Educational Resources Information Center

Zauner, Christian W.; Benson, Norma Y.

This investigation sought to determine whether the excellent performer evolves from typical material through training or if he brings facilitating characteristics with him to practice on the first day. Subjects were highly successful AAU age-group competitors who had invested at least 50 percent of their lives in swim training. These seven female…

Designing for International Teletraining.

ERIC Educational Resources Information Center

Chute, Alan G.; Shatzer, Linda S.

The ability to bridge together geographically-distant populations for training is made possible through teletraining, a human performance system which integrates telecommunications into the planning, design, and delivery of training programs. Typically, teletraining uses standard telephone lines or digital communication services to provide…

Carbohydrate availability and exercise training adaptation: too much of a good thing?

PubMed

Bartlett, Jonathan D; Hawley, John A; Morton, James P

2015-01-01

Traditional nutritional approaches to endurance training have typically promoted high carbohydrate (CHO) availability before, during and after training sessions to ensure adequate muscle substrate to meet the demands of high daily training intensities and volumes. However, during the past decade, data from our laboratories and others have demonstrated that deliberately training in conditions of reduced CHO availability can promote training-induced adaptations of human skeletal muscle (i.e. increased maximal mitochondrial enzyme activities and/or mitochondrial content, increased rates of lipid oxidation and, in some instances, improved exercise capacity). Such data have led to the concept of 'training low, but competing high' whereby selected training sessions are completed in conditions of reduced CHO availability (so as to promote training adaptation), but CHO reserves are restored immediately prior to an important competition. The augmented training response observed with training-low strategies is likely regulated by enhanced activation of key cell signalling kinases (e.g. AMPK, p38MAPK), transcription factors (e.g. p53, PPARδ) and transcriptional co-activators (e.g. PGC-1α), such that a co-ordinated up-regulation of both the nuclear and mitochondrial genomes occurs. Although the optimal practical strategies to train low are not currently known, consuming additional caffeine, protein, and practising CHO mouth-rinsing before and/or during training may help to rescue the reduced training intensities that typically occur when 'training low', in addition to preventing protein breakdown and maintaining optimal immune function. Finally, athletes should practise 'train-low' workouts in conjunction with sessions undertaken with normal or high CHO availability so that their capacity to oxidise CHO is not blunted on race day.

Entrustable professional activity (EPA) reshapes the practice of specialist training.

PubMed

Niemi-Murola, Leila

In addition to medical expertise, competence-based medical training comprises communication and collaboration skills, professionalism, and leadership skills. Continuous feedback is essential for learning and development, and feedback only from the medical specialist examination taken in the end of training does not ensure thorough specialist training. Entrustable professional activity (EPA) is a unit of professional practice, defined as tasks or responsibilities typical of the specialty. EPA translates competence-based training into manageable and meaningful entities and provides tools for the evaluation of medical competence.

Exploring employment readiness through mock job interview and workplace role-play exercises: comparing youth with physical disabilities to their typically developing peers.

PubMed

Lindsay, Sally; McDougall, Carolyn; Sanford, Robyn; Menna-Dack, Dolly; Kingsnorth, Shauna; Adams, Tracey

2015-01-01

To assess performance differences in a mock job interview and workplace role-play exercise for youth with disabilities compared to their typically developing peers. We evaluated a purposive sample of 31 youth (15 with a physical disability and 16 typically developing) on their performance (content and delivery) in employment readiness role-play exercises. Our findings show significant differences between youth with disabilities compared to typically developing peers in several areas of the mock interview content (i.e. responses to the questions: "tell me about yourself", "how would you provide feedback to someone not doing their share" and a problem-solving scenario question) and delivery (i.e. voice clarity and mean latency). We found no significant differences in the workplace role-play performances of youth with and without disabilities. Youth with physical disabilities performed poorer in some areas of a job interview compared to their typically developing peers. They could benefit from further targeted employment readiness training. Clinicians should: Coach youth with physical disability on how to "sell" their abilities to potential employers and encourage youth to get involved in volunteer activities and employment readiness training programs. Consider using mock job interviews and other employment role-play exercises as assessment and training tools for youth with physical disabilities. Involve speech pathologists in the development of employment readiness programs that address voice clarity as a potential delivery issue.

The efficiency of multimedia learning into old age.

PubMed

Van Gerven, Pascal W M; Paas, Fred; Van Merriënboer, Jeroen J G; Hendriks, Maaike; Schmidt, Henk G

2003-12-01

On the basis of a multimodal model of working memory, cognitive load theory predicts that a multimedia-based instructional format leads to a better acquisition of complex subject matter than a purely visual instructional format. This study investigated the extent to which age and instructional format had an impact on training efficiency among both young and old adults. It was hypothesised that studying worked examples that are presented as a narrated animation (multimedia condition) is a more efficient means of complex skill training than studying visually presented worked examples (unimodal condition) and solving conventional problems. Furthermore, it was hypothesised that multimedia-based worked examples are especially helpful for elderly learners, who have to deal with a general decline of working-memory resources, because they address both mode-specific working-memory stores. The sample consisted of 60 young (mean age = 15.98 years) and 60 old adults (mean age = 64.48 years). Participants of both age groups were trained in either a conventional, a unimodal, or a multimedia condition. Subsequently, they had to solve a series of test problems. Dependent variables were perceived cognitive load during the training, performance on the test, and efficiency in terms of the ratio between these two variables. Results showed that for both age groups multimedia-based worked examples were more efficient than the other training formats in that less cognitive load led to at least an equal performance level. Although no difference in the beneficial effect of multimedia learning was found between the age groups, multimedia-based instructions seem promising for the elderly.

Promoting training adaptations through nutritional interventions.

PubMed

Hawley, John A; Tipton, Kevin D; Millard-Stafford, Mindy L

2006-07-01

Training and nutrition are highly interrelated in that optimal adaptation to the demands of repeated training sessions typically requires a diet that can sustain muscle energy reserves. As nutrient stores (i.e. muscle and liver glycogen) play a predominant role in the performance of prolonged, intense, intermittent exercise typical of the patterns of soccer match-play, and in the replenishment of energy reserves for subsequent training sessions, the extent to which acutely altering substrate availability might modify the training impulse has been a key research area among exercise physiologists and sport nutritionists for several decades. Although the major perturbations to cellular homeostasis and muscle substrate stores occur during exercise, the activation of several major signalling pathways important for chronic training adaptations take place during the first few hours of recovery, returning to baseline values within 24 h after exercise. This has led to the paradigm that many chronic training adaptations are generated by the cumulative effects of the transient events that occur during recovery from each (acute) exercise bout. Evidence is accumulating that nutrient supplementation can serve as a potent modulator of many of the acute responses to both endurance and resistance training. In this article, we review the molecular and cellular events that occur in skeletal muscle during exercise and subsequent recovery, and the potential for nutrient supplementation (e.g. carbohydrate, fat, protein) to affect many of the adaptive responses to training.

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

PubMed

Schoenholtz-Read, J

1996-10-01

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

Effect of Worked Examples and Cognitive Tutor Training on Constructing Equations

ERIC Educational Resources Information Center

Reed, Stephen K.; Corbett, Albert; Hoffman, Bob; Wagner, Angela; MacLaren, Ben

2013-01-01

Algebra students studied either static-table, static-graphics, or interactive-graphics instructional worked examples that alternated with Algebra Cognitive Tutor practice problems. A control group did not study worked examples but solved both the instructional and practice problems on the Cognitive Tutor (CT). Students in the control group…

Toward accelerating landslide mapping with interactive machine learning techniques

NASA Astrophysics Data System (ADS)

Stumpf, André; Lachiche, Nicolas; Malet, Jean-Philippe; Kerle, Norman; Puissant, Anne

2013-04-01

Despite important advances in the development of more automated methods for landslide mapping from optical remote sensing images, the elaboration of inventory maps after major triggering events still remains a tedious task. Image classification with expert defined rules typically still requires significant manual labour for the elaboration and adaption of rule sets for each particular case. Machine learning algorithm, on the contrary, have the ability to learn and identify complex image patterns from labelled examples but may require relatively large amounts of training data. In order to reduce the amount of required training data active learning has evolved as key concept to guide the sampling for applications such as document classification, genetics and remote sensing. The general underlying idea of most active learning approaches is to initialize a machine learning model with a small training set, and to subsequently exploit the model state and/or the data structure to iteratively select the most valuable samples that should be labelled by the user and added in the training set. With relatively few queries and labelled samples, an active learning strategy should ideally yield at least the same accuracy than an equivalent classifier trained with many randomly selected samples. Our study was dedicated to the development of an active learning approach for landslide mapping from VHR remote sensing images with special consideration of the spatial distribution of the samples. The developed approach is a region-based query heuristic that enables to guide the user attention towards few compact spatial batches rather than distributed points resulting in time savings of 50% and more compared to standard active learning techniques. The approach was tested with multi-temporal and multi-sensor satellite images capturing recent large scale triggering events in Brazil and China and demonstrated balanced user's and producer's accuracies between 74% and 80%. The assessment also included an experimental evaluation of the uncertainties of manual mappings from multiple experts and demonstrated strong relationships between the uncertainty of the experts and the machine learning model.

The Application of Artificial Intelligence Principles to Teaching and Training

ERIC Educational Resources Information Center

Shaw, Keith

2008-01-01

This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…

New approaches to job-sharing of training posts in the North Thames region.

PubMed

Goldberg, I; Paice, E

This paper proposes a new way of managing the provision of flexible training opportunities by job-sharing. It shows how the difficulties of implementing job-sharing can be overcome, and gives an example of implementation of job-sharing in the context of flexible training.

There's an App for that!

ERIC Educational Resources Information Center

Dutton, Gail

2011-01-01

Important as training the sales force is, mobile training apps are being used for much more. Visual Eyes Inc., for example, has developed training apps for the U.S. military's combat medical teams that detail specific medical procedures, such as controlling hemorrhaging. Other apps, developed for corporations and government agencies, pass along…

Training Injury Control Practitioners: The Indian Health Service Model.

ERIC Educational Resources Information Center

Smith, Richard J., III; Dellapenna, Alan J., Jr.; Berger, Lawrence R.

2000-01-01

Describes an innovative training program for injury prevention specialists developed by the Indian Health Service (IHS), noting its applicability to other community-based settings. Examines injuries and American Indians; designing the IHS program; IHS training courses; examples of community-based interventions organized by people who had completed…

Advanced Listening Comprehension Training in Occupational ESL.

ERIC Educational Resources Information Center

Smart, Graham

1982-01-01

In the English Language Training Unit of the Bank of Canada, the duties performed by an individual worker are examined closely and a language-use profile developed. Authentic recordings of specific problematic occupational situations are used and found to be highly motivating in training. Examples of exercise discourse are given. (MSE)

The Australian Way: Competency-Based Training in the Corporate Sector.

ERIC Educational Resources Information Center

Kellie, Deborah

1999-01-01

Examples from road construction, mining, and other Australian industries show that the corporate sector has responded slowly to the introduction of a national framework for competency-based training. As industry bears more of the costs of training, it has yet to see returns in terms of productivity gains. (SK)

Assertiveness Training: A Program for High School Students.

ERIC Educational Resources Information Center

Jean-Grant, Deborah S.

1980-01-01

Proposes an assertiveness training program suitable for adolescents in a high school group setting. After role-playing examples, students should begin formulating their own responses. Early work in this area indicates that students eagerly participate in assertiveness training groups, and are quick to pick up the skills required for assertive…

Technical Training for Managers.

ERIC Educational Resources Information Center

Haverland, Edgar M.

The question has arisen as to what kind of information a manager without extensive technical training needs to learn to supervise effectively. For example, the Nike Hercules fire control platoon leader, usually an officer in his first active duty assignment, seldom has had extensive technical training. Yet he is responsibile for the…

Hunting for seamounts using neural networks: learning algorithms for geomorphic studies

NASA Astrophysics Data System (ADS)

Valentine, A. P.; Kalnins, L. M.; Trampert, J.

2012-04-01

Many geophysical studies rely on finding and analysing particular topographic features: the various landforms associated with glaciation, for example, or those that characterise regional tectonics. Typically, these can readily be identified from visual inspection of datasets, but this is a tedious and time-consuming process. However, the development of techniques to perform this assessment automatically is often difficult, since a mathematical description of the feature of interest is required. To identify characteristics of a feature, such as its spatial extent, each characteristic must also have a mathematical description. Where features exhibit significant natural variations, or where their signature in data is marred by noise, performance of conventional algorithms may be poor. One potential avenue lies in the use of neural networks, or other learning algorithms, ideal for complex pattern recognition tasks. Rather than formulating a description of the feature, the user simply provides the algorithm with a training set of hand-classified examples: the problem then becomes one of assessing whether some new example shares the characteristics of this training data. In seismology, this approach is being developed for the identification of high-quality seismic waveforms amidst noisy datasets (e.g. Valentine & Woodhouse, 2010; Valentine & Trampert, in review): can it also be applied to topographic data? To explore this, we attempt to identify the locations of seamounts from gridded bathymetric data (e.g. Smith & Sandwell, 1997). Our approach involves assessing small 'patches' of ocean floor to determine whether they might plausibly contain a seamount, and if so, its location. Since seamounts have been extensively studied, this problem provides an ideal testing ground: in particular, various catalogues exist, compiled using 'traditional' approaches (e.g. Kim & Wessel, 2011). This allows us to straightforwardly generate training datasets, and compare algorithmic performance. In future, we hope to extend the approach to identifying the seamount's 'footprint' and, by isolating it from the underlying seafloor, extracting parameters of interest such as height, radius and volume. Kim, S.-S. & Wessel, P., 2011. New global seamount census from altimetry-derived gravity data, Geophysical Journal International, 186, pp.615-631. Smith, W., and Sandwell, D., 1997. Global seafloor topography from satellite altimetry and ship depth soundings, Science, 277, pp.1957-1962. Valentine, A. & Trampert, J., in review. Data-space reduction, quality assessment and searching of seismograms: Autoencoder networks for waveform data. Valentine, A. & Woodhouse, J., 2010. Approaches to automated data selection for global seismic tomography, Geophysical Journal International, 102, pp.1001-1012.

General Conformity Training Modules: Appendix A Sample Emissions Calculations

EPA Pesticide Factsheets

Appendix A of the training modules gives example calculations for external and internal combustion sources, construction, fuel storage and transfer, on-road vehicles, aircraft operations, storage piles, and paved roads.

Online Video-Based Training in the Use of Hydrologic Models: A Case Example Using SWAT

NASA Astrophysics Data System (ADS)

Frankenberger, J.

2009-12-01

Hydrologic models are increasingly important tools in public decision-making. For example, watershed models are used to develop Total Maximum Daily Load (TMDL) plans, quantify pollutant loads, and estimate the effects of watershed restoration efforts funded by the public. One widely-used tool is the Soil and Water Assessment Tool (SWAT), which has been applied by state and federal agencies, consultants, and university researchers to assess sources of nonpoint source pollution and the effects of potential solutions, and used in testimony in at least one lawsuit. The SWAT model has the capability to evaluate the relative effects of different management scenarios on water quality, sediment, and agricultural chemical yield at the watershed scale. As with all models, the model user and the decisions that s/he makes in the modeling process are important determinants of model performance. The SWAT model has an open structure, leaving most decisions up to the model user, which was especially appropriate when the model was primarily used in research by highly-experienced modelers. However, as the model has become more widely applied in planning and assessment, by people who may have limited hydrology background and modeling knowledge, the possibility that users may be using the model inconsistently or even incorrectly becomes a concern. Consistent training can lead to a minimum standard of knowledge that model users are expected to have, and therefore to higher use of best practices in modeling efforts. In addition, widespread availability of training can lead to better decisions about when and where using the model is appropriate, and what level of data needs to be available for confidence in predictions. Currently, most training in model use takes place in occasional face-to-face workshops, courses offered at a few universities, and a short tutorial available in the manual. Many new users simply acquire the model and learn from the manual, other users, trial and error, and posing questions to the web-based group. Although excellent model documentation is available (http://www.brc.tamus.edu/swat/), the extent to which users conduct careful study to ensure that their understanding goes beyond the superficial level is unknown. Online video-on-demand technology provides a way for users to learn consistent content while saving travel resources, and allows for training to fit into people’s schedule. Online videos were created to teach the basics of setting up the model, acquiring input data, parameterizing, calibrating and evaluating model results, and analyzing outputs, as well as model science, uncertainty, and appropriate use. Feedback was sought from the SWAT modeling community to determine typical backgrounds of model users and how the video training fits into the available means of learning SWAT. Evaluation is being undertaken to assess results. The processes used in developing and evaluating the online SWAT training could be applied to other computer models for which use among broader groups of people is increasing or has the potential to grow.

Developmental implications of children's brain networks and learning.

PubMed

Chan, John S Y; Wang, Yifeng; Yan, Jin H; Chen, Huafu

2016-10-01

The human brain works as a synergistic system where information exchanges between functional neuronal networks. Rudimentary networks are observed in the brain during infancy. In recent years, the question of how functional networks develop and mature in children has been a hotly discussed topic. In this review, we examined the developmental characteristics of functional networks and the impacts of skill training on children's brains. We first focused on the general rules of brain network development and on the typical and atypical development of children's brain networks. After that, we highlighted the essentials of neural plasticity and the effects of learning on brain network development. We also discussed two important theoretical and practical concerns in brain network training. Finally, we concluded by presenting the significance of network training in typically and atypically developed brains.

Fire Problems in High-Rise Buildings. California Fire Service Training Program.

ERIC Educational Resources Information Center

California State Dept. of Education, Sacramento. Bureau of Industrial Education.

Resulting from a conference concerned with high-rise fire problems, this manual has been prepared as a fire department training manual and as a reference for students enrolled in fire service training courses. Information is provided for topics dealing with: (1) Typical Fire Problems in High-Rise Buildings, (2) Heat, (3) Smoke and Fire Gases, (4)…

The Effect of Mentoring versus Job Coach Instruction on Integration in Supported Employment Settings.

ERIC Educational Resources Information Center

Lee, Mellanie; Storey, Keith; Anderson, Jacki L.; Goetz, Lori; Zivolich, Steve

1997-01-01

A study of individuals with severe mental retardation who were trained using the traditional job coach model (n=10), or using a mentoring model (n=10), found individuals with severe mental retardation who were trained using the mentor model had more interactions with typical coworkers than those trained using the job coach model. (Author/CR)

A Randomized Controlled Trial on The Beneficial Effects of Training Letter-Speech Sound Integration on Reading Fluency in Children with Dyslexia

PubMed Central

Fraga González, Gorka; Žarić, Gojko; Tijms, Jurgen; Bonte, Milene; van der Molen, Maurits W.

2015-01-01

A recent account of dyslexia assumes that a failure to develop automated letter-speech sound integration might be responsible for the observed lack of reading fluency. This study uses a pre-test-training-post-test design to evaluate the effects of a training program based on letter-speech sound associations with a special focus on gains in reading fluency. A sample of 44 children with dyslexia and 23 typical readers, aged 8 to 9, was recruited. Children with dyslexia were randomly allocated to either the training program group (n = 23) or a waiting-list control group (n = 21). The training intensively focused on letter-speech sound mapping and consisted of 34 individual sessions of 45 minutes over a five month period. The children with dyslexia showed substantial reading gains for the main word reading and spelling measures after training, improving at a faster rate than typical readers and waiting-list controls. The results are interpreted within the conceptual framework assuming a multisensory integration deficit as the most proximal cause of dysfluent reading in dyslexia. Trial Registration: ISRCTN register ISRCTN12783279 PMID:26629707

Reading Performance Is Enhanced by Visual Texture Discrimination Training in Chinese-Speaking Children with Developmental Dyslexia

PubMed Central

Meng, Xiangzhi; Lin, Ou; Wang, Fang; Jiang, Yuzheng; Song, Yan

2014-01-01

Background High order cognitive processing and learning, such as reading, interact with lower-level sensory processing and learning. Previous studies have reported that visual perceptual training enlarges visual span and, consequently, improves reading speed in young and old people with amblyopia. Recently, a visual perceptual training study in Chinese-speaking children with dyslexia found that the visual texture discrimination thresholds of these children in visual perceptual training significantly correlated with their performance in Chinese character recognition, suggesting that deficits in visual perceptual processing/learning might partly underpin the difficulty in reading Chinese. Methodology/Principal Findings To further clarify whether visual perceptual training improves the measures of reading performance, eighteen children with dyslexia and eighteen typically developed readers that were age- and IQ-matched completed a series of reading measures before and after visual texture discrimination task (TDT) training. Prior to the TDT training, each group of children was split into two equivalent training and non-training groups in terms of all reading measures, IQ, and TDT. The results revealed that the discrimination threshold SOAs of TDT were significantly higher for the children with dyslexia than for the control children before training. Interestingly, training significantly decreased the discrimination threshold SOAs of TDT for both the typically developed readers and the children with dyslexia. More importantly, the training group with dyslexia exhibited significant enhancement in reading fluency, while the non-training group with dyslexia did not show this improvement. Additional follow-up tests showed that the improvement in reading fluency is a long-lasting effect and could be maintained for up to two months in the training group with dyslexia. Conclusion/Significance These results suggest that basic visual perceptual processing/learning and reading ability in Chinese might at least partially rely on overlapping mechanisms. PMID:25247602

Changes in behavior and salivary cortisol after targeted cognitive training in typical 12-month-old infants.

PubMed

Wass, Sam V; Cook, Clare; Clackson, Kaili

2017-05-01

Previous research has suggested that early development may be an optimal period to implement cognitive training interventions, particularly those relating to attention control, a basic ability that is essential for the development of other cognitive skills. In the present study, we administered gaze-contingent training (95 min across 2 weeks) targeted at voluntary attention control to a cohort of typical 12-month-old children (N = 24) and sham training to a control group (N = 24). We assessed training effects on (a) tasks involving nontrained aspects of attention control: visual sustained attention, habituation speed, visual recognition memory, sequence learning, and reversal learning; (b) general attentiveness (on-task behaviors during testing); and (c) salivary cortisol levels. Assessments were administered immediately after the cessation of training and at a 6-week follow-up. On the immediate posttest infants showed significantly more sustained visual attention, faster habituation, and improved sequence learning. Significant effects were also found for increased general attentiveness and decreased salivary cortisol. Some of these effects were still evident at the 6-week follow-up (significantly improved sequence learning and marginally improved sustained attention). These findings extend the emerging literature showing that attention training is possible in infancy. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Building Potential for Pilot Expertise: Can Understanding How People Think and Make Decisions Improve the Ability of Military Flight Training to Create Potential Pilot Expertise?

DTIC Science & Technology

2012-04-24

One example of this disconnect is learning to ride a bicycle by using training wheels. People do not use the training wheels so well that they...become an ingrained part of the bicycle riding experience; they outgrew the need for training wheels. “Presenting procedures to trainees gives them a...TERMS pilot training; military flight training; flight school; cognitive task analysis; CTA 16. SECURITY CLASSIFICATION OF: 17

[Development of fixed-base full task space flight training simulator].

PubMed

Xue, Liang; Chen, Shan-quang; Chang, Tian-chun; Yang, Hong; Chao, Jian-gang; Li, Zhi-peng

2003-01-01

Fixed-base full task flight training simulator is a very critical and important integrated training facility. It is mostly used in training of integrated skills and tasks, such as running the flight program of manned space flight, dealing with faults, operating and controlling spacecraft flight, communicating information between spacecraft and ground. This simulator was made up of several subentries including spacecraft simulation, simulating cabin, sight image, acoustics, main controlling computer, instructor and assistant support. It has implemented many simulation functions, such as spacecraft environment, spacecraft movement, communicating information between spacecraft and ground, typical faults, manual control and operating training, training control, training monitor, training database management, training data recording, system detecting and so on.

Molecular spinning by a chiral train of short laser pulses

NASA Astrophysics Data System (ADS)

Floß, Johannes; Averbukh, Ilya Sh.

2012-12-01

We provide a detailed theoretical analysis of molecular rotational excitation by a chiral pulse train, a sequence of linearly polarized pulses with the polarization direction rotating from pulse to pulse by a controllable angle. Molecular rotation with a preferential rotational sense (clockwise or counterclockwise) can be excited by this scheme. We show that the directionality of the rotation is caused by quantum interference of different excitation pathways. The chiral pulse train is capable of selective excitation of molecular isotopologs and nuclear spin isomers in a mixture. We demonstrate this using 14N2 and 15N2 as examples for isotopologs and para- and ortho-nitrogen as examples for nuclear-spin isomers.

An Analytic Process Model for Systems Design and Measurement

DTIC Science & Technology

1985-02-01

following two examples. EXAMPLE 1. A Small Training System Consider first a bicycle rider training system operated by two people, aI child whn wishes to...become a rider and a parent who agrees to help the child learn. The basic Command decision, that a need to learn to ride exists, might be initiated by the... child and, after some thought, approved by the parent. ;~ I The child’s perceived need may be strong, motivated by envy of already-riding * playmates

Determining Recommendations for Improvement of Communication Skills Training in Dental Education: A Scoping Review.

PubMed

Ayn, Caitlyn; Robinson, Lynne; Nason, April; Lovas, John

2017-04-01

Professional communication skills have a significant impact on dental patient satisfaction and health outcomes. Communication skills training has been shown to improve the communication skills of dental students. Therefore, strengthening communication skills training in dental education shows promise for improving dental patient satisfaction and outcomes. The aim of this study was to facilitate the development of dental communication skills training through a scoping review with compilation of a list of considerations, design of an example curriculum, and consideration of barriers and facilitators to adoption of such training. A search to identify studies of communication skills training interventions and programs was conducted. Search queries were run in three databases using both text strings and controlled terms (MeSH), yielding 1,833 unique articles. Of these, 35 were full-text reviewed, and 17 were included in the final synthesis. Considerations presented in the articles were compiled into 15 considerations. These considerations were grouped into four themes: the value of communication skills training, the role of instructors, the importance of accounting for diversity, and the structure of communication skills training. An example curriculum reflective of these considerations is presented, and consideration of potential barriers and facilitators to implementation are discussed. Application and evaluation of these considerations are recommended in order to support and inform future communication skills training development.

Counseling Taiwan Chinese in America: Training Issues for Counselors.

ERIC Educational Resources Information Center

Miller, Geri; Yang, Julia; Chen, M.

1997-01-01

Examines cultural influences (such as Confucianism, family, and immigration) on Taiwan Chinese in America who seek counseling. Addresses typical counseling struggles, effective counseling strategies and theoretical approaches, and training implications. Uses a case study to elaborate on the above themes. (RJM)

Northern Elephant Seals Memorize the Rhythm and Timbre of Their Rivals' Voices.

PubMed

Mathevon, Nicolas; Casey, Caroline; Reichmuth, Colleen; Charrier, Isabelle

2017-08-07

The evolutionary origin of rhythm perception, a cognitive ability essential to musicality, remains unresolved [1-5]. The ability to perceive and memorize rhythmic sounds is widely shared among humans [6] but seems rare among other mammals [7, 8]. Although the perception of temporal metrical patterns has been found in a few species, this ability has only been demonstrated through behavioral training [9] (but see [10] for an example of spontaneous tempo coordination in a bonobo), and there is no experimental evidence to indicate its biological function. Furthermore, there is no example of a non-human mammal able to remember and recognize auditory rhythmic patterns among a wide range of tempi. In the northern elephant seal Mirounga angustirostris, the calls of mature males comprise a rhythmic series of pulses, with the call of each individual characterized by its tempo and timbre; these individual vocal signatures are stable over years and across contexts [11]. Here, we report that northern elephant seal males routinely memorize and recognize the unique tempo and timbre of their rivals' voices and use this rhythmic information to individually identify competitors, which facilitates navigation within the social network of the rookery. By performing playbacks with natural and modified vocalizations, we show that males are sensitive to call rhythm disruption independently of modification of spectral features and that they use both temporal and spectral cues to identify familiar rivals. While spectral features of calls typically encode individual identity in mammalian vocalizations [12], this is the first example of this phenomenon involving sound rhythm. Copyright © 2017 Elsevier Ltd. All rights reserved.

SimSup's Loop: A Control Theory Approach to Spacecraft Operator Training

NASA Technical Reports Server (NTRS)

Owens, Brandon Dewain; Crocker, Alan R.

2015-01-01

Immersive simulation is a staple of training for many complex system operators, including astronauts and ground operators of spacecraft. However, while much has been written about simulators, simulation facilities, and operator certification programs, the topic of how one develops simulation scenarios to train a spacecraft operator is relatively understated in the literature. In this paper, an approach is presented for using control theory as the basis for developing the immersive simulation scenarios for a spacecraft operator training program. The operator is effectively modeled as a high level controller of lower level hardware and software control loops that affect a select set of system state variables. Simulation scenarios are derived from a STAMP-based hazard analysis of the operator's high and low level control loops. The immersive simulation aspect of the overall training program is characterized by selecting a set of scenarios that expose the operator to the various inadequate control actions that stem from control flaws and inadequate control executions in the different sections of the typical control loop. Results from the application of this approach to the Lunar Atmosphere and Dust Environment Explorer (LADEE) mission are provided through an analysis of the simulation scenarios used for operator training and the actual anomalies that occurred during the mission. The simulation scenarios and inflight anomalies are mapped to specific control flaws and inadequate control executions in the different sections of the typical control loop to illustrate the characteristics of anomalies arising from the different sections of the typical control loop (and why it is important for operators to have exposure to these characteristics). Additionally, similarities between the simulation scenarios and inflight anomalies are highlighted to make the case that the simulation scenarios prepared the operators for the mission.

Training Alters the Resolution of Lexical Interference: Evidence for Plasticity of Competition and Inhibition

PubMed Central

Kapnoula, Efthymia C.; McMurray, Bob

2016-01-01

Language learning is generally described as a problem of acquiring new information (e.g., new words). However, equally important are changes in how the system processes known information. For example, a wealth of studies has suggested dramatic changes over development in how efficiently children recognize familiar words, but it is unknown what kind of experience-dependent mechanisms of plasticity give rise to such changes in real-time processing. We examined the plasticity of the language processing system by testing whether a fundamental aspect of spoken word recognition, lexical interference, can be altered by experience. Adult participants were trained on a set of familiar words over a series of 4 tasks. In the high-competition (HC) condition, tasks were designed to encourage coactivation of similar words (e.g., net and neck) and to require listeners to resolve this competition. Tasks were similar in the low-competition (LC) condition, but did not enhance this competition. Immediately after training, interlexical interference was tested using a visual world paradigm task. Participants in the HC group resolved interference to a fuller degree than those in the LC group, demonstrating that experience can shape the way competition between words is resolved. TRACE simulations showed that the observed late differences in the pattern of interference resolution can be attributed to differences in the strength of lexical inhibition. These findings inform cognitive models in many domains that involve competition/interference processes, and suggest an experience-dependent mechanism of plasticity that may underlie longer term changes in processing efficiency associated with both typical and atypical development. PMID:26709587

Advanced Entry Adult Apprenticeship Training Scheme: A Case Study

ERIC Educational Resources Information Center

Sparks, Alan; Ingram, Hadyn; Phillips, Sunny

2009-01-01

Purpose: The purpose of this paper is to evaluate an innovative way to train adult apprentices for the construction industry. Design/methodology/approach: The paper emphasizes that, in order to address skills shortages for international construction, training methods must be improved. It looks at the example of an adult apprenticeship scheme in…

Effects of Contextual Sight-Singing and Aural Skills Training on Error-Detection Abilities.

ERIC Educational Resources Information Center

Sheldon, Deborah A.

1998-01-01

Examines the effects of contextual sight-singing and ear training on pitch and rhythm error detection abilities among undergraduate instrumental music education majors. Shows that additional training produced better error detection, particularly with rhythm errors and in one-part examples. Maintains that differences attributable to texture were…

Label Review Training: Module 1: Label Basics, Page 27

EPA Pesticide Factsheets

This module of the pesticide label review training provides basic information about pesticides, their labeling and regulation, and the core principles of pesticide label review. See examples of mandatory and advisory label statements.

Disabled Veterans on the Job Front.

ERIC Educational Resources Information Center

Walker, Michael J.

1978-01-01

The Disabled Veterans Outreach Program (DVOP) administered by the Department of Labor's Employment and Training Administration arranges training and placement for disabled veterans in local job service offices. These employees then assist in placing other disabled veterans on jobs. Some typical DVOP success stories are described. (MF)

Novel Method of Estimating Metabolic Rates of Soldiers Engaged in Chemical Biological Defense Training

DTIC Science & Technology

2016-12-01

Simplified example of estimating metabolic rate from core temperature using the SCENARIO thermoregulatory model. 7 4 Edgewood training site, Day 1, core... temperature (TC) and metabolic rate (Ṁ). 10 5 Edgewood training site, Day 2, core temperature (TC) and metabolic rate (Ṁ). 11 6 Hayward...training site, Day 1, core temperature (TC) and metabolic rate (Ṁ). 12 7 Hayward training site, Day 2, core temperature (TC) and metabolic rate (Ṁ). 13

Electromagnetic pulse propagation in dispersive planar dielectrics.

PubMed

Moten, K; Durney, C H; Stockham, T G

1989-01-01

The responses of a plane-wave pulse train irradiating a lossy dispersive dielectric half-space are investigated. The incident pulse train is expressed as a Fourier series with summing done by the inverse fast Fourier transform. The Fourier series technique is adopted to avoid the many difficulties often encountered in finding the inverse Fourier transform when transform analyses are used. Calculations are made for propagation in pure water, and typical waveforms inside the dielectric half-space are presented. Higher harmonics are strongly attenuated, resulting in a single continuous sinusoidal waveform at the frequency of the fundamental depth in the material. The time-averaged specific absorption rate (SAR) for pulse-train propagation is shown to be the sum of the time-averaged SARs of the individual harmonic components of the pulse train. For the same average power, calculated SARs reveal that pulse trains generally penetrate deeper than carrier-frequency continuous waves but not deeper than continuous waves at frequencies approaching the fundamental of the pulse train. The effects of rise time on the propagating pulse train in the dielectrics are shown and explained. Since most practical pulsed systems are very limited in bandwidth, no pronounced differences between their response and continuous wave (CW) response would be expected. Typical results for pulse-train propagation in arrays of dispersive planar dielectric slabs are presented. Expressing the pulse train as a Fourier series provides a practical way of interpreting the dispersion characteristics from the spectral point of view.

Effects of Exercise Intervention on Event-Related Potential and Task Performance Indices of Attention Networks in Children with Developmental Coordination Disorder

ERIC Educational Resources Information Center

Tsai, Chia-Liang; Wang, Chun-Hao; Tseng, Yu-Ting

2012-01-01

The study investigated whether 10-week soccer training can benefit the inhibitory control and neuroelectric indices in children with developmental coordination disorder (DCD). Fifty-one children were divided into groups of typically developing (TD, n = 21), DCD-training (n = 16), and DCD non-training (n=14) individuals using the for Children test,…

Low-Load Resistance Training with Blood Flow Occlusion as a Countermeasure to Disuse Atrophy

NASA Technical Reports Server (NTRS)

Ploutz-Snyder, L. L.; Cook, S. B.

2009-01-01

Decreases in strength and neuromuscular function are observed following prolonged disuse. Exercise countermeasures to prevent muscle dysfunction during disuse typically involve high intensity resistance training. The purpose of the study is to evaluate the effectiveness of low-load resistance training with a blood flow occlusion to mitigate muscle loss and dysfunction during 30 days of unilateral lower limb suspension (ULLS).

A comparison of methods of fitting several models to nutritional response data.

PubMed

Vedenov, D; Pesti, G M

2008-02-01

A variety of models have been proposed to fit nutritional input-output response data. The models are typically nonlinear; therefore, fitting the models usually requires sophisticated statistical software and training to use it. An alternative tool for fitting nutritional response models was developed by using widely available and easier-to-use Microsoft Excel software. The tool, implemented as an Excel workbook (NRM.xls), allows simultaneous fitting and side-by-side comparisons of several popular models. This study compared the results produced by the tool we developed and PROC NLIN of SAS. The models compared were the broken line (ascending linear and quadratic segments), saturation kinetics, 4-parameter logistics, sigmoidal, and exponential models. The NRM.xls workbook provided results nearly identical to those of PROC NLIN. Furthermore, the workbook successfully fit several models that failed to converge in PROC NLIN. Two data sets were used as examples to compare fits by the different models. The results suggest that no particular nonlinear model is necessarily best for all nutritional response data.

Developing a quality assurance program for online services.

PubMed Central

Humphries, A W; Naisawald, G V

1991-01-01

A quality assurance (QA) program provides not only a mechanism for establishing training and competency standards, but also a method for continuously monitoring current service practices to correct shortcomings. The typical QA cycle includes these basic steps: select subject for review, establish measurable standards, evaluate existing services using the standards, identify problems, implement solutions, and reevaluate services. The Claude Moore Health Sciences Library (CMHSL) developed a quality assurance program for online services designed to evaluate services against specific criteria identified by research studies as being important to customer satisfaction. These criteria include reliability, responsiveness, approachability, communication, and physical factors. The application of these criteria to the library's existing online services in the quality review process is discussed with specific examples of the problems identified in each service area, as well as the solutions implemented to correct deficiencies. The application of the QA cycle to an online services program serves as a model of possible interventions. The use of QA principles to enhance online service quality can be extended to other library service areas. PMID:1909197

Developing a quality assurance program for online services.

PubMed

Humphries, A W; Naisawald, G V

1991-07-01

A quality assurance (QA) program provides not only a mechanism for establishing training and competency standards, but also a method for continuously monitoring current service practices to correct shortcomings. The typical QA cycle includes these basic steps: select subject for review, establish measurable standards, evaluate existing services using the standards, identify problems, implement solutions, and reevaluate services. The Claude Moore Health Sciences Library (CMHSL) developed a quality assurance program for online services designed to evaluate services against specific criteria identified by research studies as being important to customer satisfaction. These criteria include reliability, responsiveness, approachability, communication, and physical factors. The application of these criteria to the library's existing online services in the quality review process is discussed with specific examples of the problems identified in each service area, as well as the solutions implemented to correct deficiencies. The application of the QA cycle to an online services program serves as a model of possible interventions. The use of QA principles to enhance online service quality can be extended to other library service areas.

48 CFR 315.204-5 - Part IV-Representations and instructions.

Code of Federal Regulations, 2013 CFR

2013-10-01

... as using too few.) (3) Examples of topics that form a basis for evaluation factors. Typical examples of topics that form a basis for the development of evaluation factors are listed in the following... special research, test, and other equipment or facilities. (vii) Managerial capability (ability to achieve...

48 CFR 315.204-5 - Part IV-Representations and instructions.

Code of Federal Regulations, 2014 CFR

2014-10-01

... as using too few.) (3) Examples of topics that form a basis for evaluation factors. Typical examples of topics that form a basis for the development of evaluation factors are listed in the following... special research, test, and other equipment or facilities. (vii) Managerial capability (ability to achieve...

48 CFR 315.204-5 - Part IV-Representations and instructions.

Code of Federal Regulations, 2012 CFR

2012-10-01

... as using too few.) (3) Examples of topics that form a basis for evaluation factors. Typical examples of topics that form a basis for the development of evaluation factors are listed in the following... special research, test, and other equipment or facilities. (vii) Managerial capability (ability to achieve...

Effects of Semantic Elaboration and Typicality on Picture Naming in Alzheimer Disease

ERIC Educational Resources Information Center

Morelli, Claudia A.; Altmann, Lori J. P.; Kendall, Diane; Fischler, Ira; Heilman, Kennneth M.

2011-01-01

Purpose: Individuals with probable Alzheimer disease (pAD) are frequently impaired at picture naming. This study examined whether a semantic elaboration task would facilitate naming in pAD, and whether training either semantically typical or atypical stimulus items facilitated generalized improvement in picture naming and category generation…

Three typical examples of activation of the International Charter ``space and major disasters''

NASA Astrophysics Data System (ADS)

Bessis, J.-L.; Bequignon, J.; Mahmood, A.

This paper, after a brief description of the Charter organisation and of its implementation procedures, addresses three typical cases of Charter activation and the lessons learned to date. The first example will deal with the major earthquakes in January and February 2001 in El Salvador for the benefit of the Salvadorian National Register Centre, the second concerning flooding in the North-East and South of France in January and September 2002 with quick delivery of flood maps to the French Civil Protection Authority and the last one will focus on the Nyiragongo volcanic eruption near the town of Goma in the Democratic Republic of Congo.

Operational Applications of Autogenic Feedback Training Exercise as a Treatment for Airsickness in the Military

NASA Technical Reports Server (NTRS)

Gebreyesus, Fiyore; Cowings, Patricia S.; Toscano, William B.

2012-01-01

Airsickness is experienced by about 50% of military aviators some time in their career. Aviators who suffer from recurrent episodes of airsickness are typically referred to the Naval Aerospace Medical Institute (NAMI) at Pensacola where they undergo extensive evaluation and 8 weeks of training in the Self-Paced Airsickness Desensitization (SPAD) program. Researchers at NASA Ames have developed an alternative mitigation training program, Autogenic Feedback Training Exercise (AFTE) that has demonstrated an 80% success rate for improving motion sickness tolerance.

The development of multi-model rehabilitation training system for lower limb sitting function

NASA Astrophysics Data System (ADS)

Wu, Jianfeng; Sun, Yue; Wu, Qun

2017-04-01

The multi-model rehabilitation training system was manufactured according to the demands of patients' practical training. Through the use of the patient's exercise physiology information, the ability of muscle force and movement efficiency of the patient were identified. Following with medical rehabilitation therapy, the training model, a combination of active and passive training, was proposed to enhance the training efficiency and rehabilitation effect. Furthermore, taking the sitting movement training as an example, the research theory was applied in knee rehabilitation training. The results of the research provid technical support and practical reference to the relevant training equipment designs and clinical applications.

Modelling acceptance of sunlight in high and low photovoltaic concentration

NASA Astrophysics Data System (ADS)

Leutz, Ralf

2014-09-01

A simple model incorporating linear radiation characteristics, along with the optical trains and geometrical concentration ratios of solar concentrators is presented with performance examples for optical trains of HCPV, LCPV and benchmark flat-plate PV.

Industrial wastewater re-use: closure of water cycle in the main water consuming industries--the example of paper mills.

PubMed

Mauchauffee, S; Denieul, M-P; Coste, M

2012-01-01

Paper mill, chemistry, textile and food processing industries are high water consumers. Within the framework of the European project Aquafit4Use, the possibility to close the on-site water loop is studied. The aim is to find new technologies or innovative treatment trains to produce water that is 'fit for use' in the industrial process; an example of a paper mill is given. Laboratory-scale tests on nine technologies were carried out to determine the best suitable treatment train: anaerobic process (already on site) --> aerobic process (already on site) --> Flexible Fibre Filter Module --> softening --> nanofiltration --> evapoconcentration or ozonation on nanofiltration (NF) concentrate. This treatment train is currently compared on site at pilot scale to another treatment train including some modifications on the existing on-site biological treatment: anaerobic process --> softening --> membrane bioreactor --> nanofiltration --> evapoconcentration or ozonation of NF concentrate.

Distance Learning for Teacher Training in Brazil

ERIC Educational Resources Information Center

Bof, Alvana Maria

2004-01-01

Proformacao is a distance teacher certification course aimed at providing training to 27,000 uncertified teachers in 15 Brazilian states. This innovative program organizes human and technical resources for delivering distance education in a cost-effective manner. Different from other institutional systems--which typically employ their own…

Individuals with Mental Illness Can Control Their Aggressive Behavior through Mindfulness Training

ERIC Educational Resources Information Center

Singh, Nirbhay N.; Lancioni, Giulio E.; Winton, Alan S. W.; Adkins, Angela D.; Wahler, Robert G.; Sabaawi, Mohamed; Singh, Judy

2007-01-01

Verbal and physical aggression are risk factors for community placement of individuals with serious and persistent mental illness. Depending on the motivations involved, treatment typically consists of psychotropic medications and psychosocial interventions, including contingency management procedures and anger management training. Effects of a…

Military Medical Decision Support for Homeland Defense During Emergency

DTIC Science & Technology

2004-12-01

abstraction hierarchy, three levels of information requirement for designing emergency training interface are recognized. These are epistemological ...support human decision making process is considered to be decision-centric. A typical decision-centric interface is supported by at least four design ... Designing Emergency Training Interface ......................................................................................... 5 Epistemological

Treatment of Test Anxiety: A Computerized Approach

ERIC Educational Resources Information Center

Pless, Anica

2010-01-01

Test anxiety creates problems for many students, and can have a negative impact on the academic performance of many who suffer from it (Jones & Petruzzi, 1995). Typical treatment components for test anxiety involve psychoeducation, relaxation training, gradual exposure, cognitive restructuring, study skills training, and relapse prevention.…

Auditory Training with Frequent Communication Partners

ERIC Educational Resources Information Center

Tye-Murray, Nancy; Spehar, Brent; Sommers, Mitchell; Barcroft, Joe

2016-01-01

Purpose: Individuals with hearing loss engage in auditory training to improve their speech recognition. They typically practice listening to utterances spoken by unfamiliar talkers but never to utterances spoken by their most frequent communication partner (FCP)--speech they most likely desire to recognize--under the assumption that familiarity…

How FOSTER supports training Open Science in the GeoSciences

NASA Astrophysics Data System (ADS)

Orth, Astrid

2016-04-01

FOSTER (1) is about promoting and facilitating the adoption of Open Science by the European research community, and fostering compliance with the open access policies set out in Horizon 2020 (H2020). FOSTER aims to reach out and provide training to the wide range of disciplines and countries involved in the European Research Area (ERA) by offering and supporting face-to-face as well as distance training. Different stakeholders, mainly young researchers, are trained to integrate Open Science in their daily workflow, supporting researchers to optimise their research visibility and impact. Strengthening the institutional training capacity is achieved through a train-the-trainers approach. The two-and-half-year project started in February 2014 with identifying, enriching and providing training content on all relevant topics in the area of Open Science. One of the main elements was to support two rounds of trainings, which were conducted during 2014 and 2015, organizing more than 100 training events with around 3000 participants. The presentation will explain the project objectives and results and will look into best practice training examples, among them successful training series in the GeoSciences. The FOSTER portal that now holds a collection of training resources (e.g. slides and PDFs, schedules and design of training events dedicated to different audiences, video captures of complete events) is presented. It provides easy ways to identify learning materials and to create own e-learning courses based on the materials and examples. (1) FOSTER is funded through the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425. http://fosteropenscience.eu

Captain upgrade CRM training: A new focus for enhanced flight operations

NASA Technical Reports Server (NTRS)

Taggart, William R.

1993-01-01

Crew Resource Management (CRM) research has resulted in numerous payoffs of applied applications in flight training and standardization of air carrier flight operations. This paper describes one example of how basic research into human factors and crew performance was used to create a specific training intervention for upgrading new captains for a major United States air carrier. The basis for the training is examined along with some of the specific training methods used, and several unexpeced results.

Pedestrian Behavior of Children and Accompanying Parents during School Journeys: An Evaluation of a Training Program.

ERIC Educational Resources Information Center

Van Der Molen, H.H.; And Others

1983-01-01

Before and after a pedestrian training program for preschoolers and their parents, parents displayed better road crossing behavior than their children. After the program, parents provided better examples when crossing with children and gave their children more verbal instructions. Children displayed the trained behaviors more frequently after the…

Evaluating the Impact of Training: A Collection of Federal Agency Evaluation Practices. Volume 2.

ERIC Educational Resources Information Center

Salinger, Ruth; Roberts, Cynthia

The purpose of this publication on agency training evaluation practices is to share approaches used by federal agencies to assess needs and measure training effectiveness. Emphasis is placed on the process of evaluation. Names of the agencies and highlights of the examples used by each follow: (1) Plant Protection and Quarantine (Department of…

Game on: The Impact of Game Features in Computer-Based Training

ERIC Educational Resources Information Center

DeRouin-Jessen, Renee E.

2008-01-01

The term "serious games" became popularized in 2002 as a result of an initiative to promote the use of games for education, training, and other purposes. Today, many companies are using games for training and development, often with hefty price tags. For example, the development budget for the U.S. Army recruiting game, "America's…

Finding the optimal shape of the leading-and-trailing car of a high-speed train using design-by-morphing

NASA Astrophysics Data System (ADS)

Oh, Sahuck; Jiang, Chung-Hsiang; Jiang, Chiyu; Marcus, Philip S.

2017-10-01

We present a new, general design method, called design-by-morphing for an object whose performance is determined by its shape due to hydrodynamic, aerodynamic, structural, or thermal requirements. To illustrate the method, we design a new leading-and-trailing car of a train by morphing existing, baseline leading-and-trailing cars to minimize the drag. In design-by-morphing, the morphing is done by representing the shapes with polygonal meshes and spectrally with a truncated series of spherical harmonics. The optimal design is found by computing the optimal weights of each of the baseline shapes so that the morphed shape has minimum drag. As a result of optimization, we found that with only two baseline trains that mimic current high-speed trains with low drag that the drag of the optimal train is reduced by 8.04% with respect to the baseline train with the smaller drag. When we repeat the optimization by adding a third baseline train that under-performs compared to the other baseline train, the drag of the new optimal train is reduced by 13.46% . This finding shows that bad examples of design are as useful as good examples in determining an optimal design. We show that design-by-morphing can be extended to many engineering problems in which the performance of an object depends on its shape.

Finding the optimal shape of the leading-and-trailing car of a high-speed train using design-by-morphing

NASA Astrophysics Data System (ADS)

Oh, Sahuck; Jiang, Chung-Hsiang; Jiang, Chiyu; Marcus, Philip S.

2018-07-01

We present a new, general design method, called design-by-morphing for an object whose performance is determined by its shape due to hydrodynamic, aerodynamic, structural, or thermal requirements. To illustrate the method, we design a new leading-and-trailing car of a train by morphing existing, baseline leading-and-trailing cars to minimize the drag. In design-by-morphing, the morphing is done by representing the shapes with polygonal meshes and spectrally with a truncated series of spherical harmonics. The optimal design is found by computing the optimal weights of each of the baseline shapes so that the morphed shape has minimum drag. As a result of optimization, we found that with only two baseline trains that mimic current high-speed trains with low drag that the drag of the optimal train is reduced by 8.04% with respect to the baseline train with the smaller drag. When we repeat the optimization by adding a third baseline train that under-performs compared to the other baseline train, the drag of the new optimal train is reduced by 13.46%. This finding shows that bad examples of design are as useful as good examples in determining an optimal design. We show that design-by-morphing can be extended to many engineering problems in which the performance of an object depends on its shape.

Research into the Impact of Bikeability Training on Children's Ability to Perceive and Appropriately Respond to Hazards When Cycling on the Road

ERIC Educational Resources Information Center

Hodgson, Claire; Worth, Jack

2015-01-01

Bikeability (2014) is described as "cycling proficiency for the 21st century". The training is practical, skill-based, outcome-led and designed to "boost the confidence of the trainee and to minimise risk". There are three levels of training and children typically start Bikeability lessons once they have learned to ride a bike.…

Predicting cloud-to-ground lightning with neural networks

NASA Technical Reports Server (NTRS)

Barnes, Arnold A., Jr.; Frankel, Donald; Draper, James Stark

1991-01-01

A neural network is being trained to predict lightning at Cape Canaveral for periods up to two hours in advance. Inputs consist of ground based field mill data, meteorological tower data, lightning location data, and radiosonde data. High values of the field mill data and rapid changes in the field mill data, offset in time, provide the forecasts or desired output values used to train the neural network through backpropagation. Examples of input data are shown and an example of data compression using a hidden layer in the neural network is discussed.

A rater training protocol to assess team performance.

PubMed

Eppich, Walter; Nannicelli, Anna P; Seivert, Nicholas P; Sohn, Min-Woong; Rozenfeld, Ranna; Woods, Donna M; Holl, Jane L

2015-01-01

Simulation-based methodologies are increasingly used to assess teamwork and communication skills and provide team training. Formative feedback regarding team performance is an essential component. While effective use of simulation for assessment or training requires accurate rating of team performance, examples of rater-training programs in health care are scarce. We describe our rater training program and report interrater reliability during phases of training and independent rating. We selected an assessment tool shown to yield valid and reliable results and developed a rater training protocol with an accompanying rater training handbook. The rater training program was modeled after previously described high-stakes assessments in the setting of 3 facilitated training sessions. Adjacent agreement was used to measure interrater reliability between raters. Nine raters with a background in health care and/or patient safety evaluated team performance of 42 in-situ simulations using post-hoc video review. Adjacent agreement increased from the second training session (83.6%) to the third training session (85.6%) when evaluating the same video segments. Adjacent agreement for the rating of overall team performance was 78.3%, which was added for the third training session. Adjacent agreement was 97% 4 weeks posttraining and 90.6% at the end of independent rating of all simulation videos. Rater training is an important element in team performance assessment, and providing examples of rater training programs is essential. Articulating key rating anchors promotes adequate interrater reliability. In addition, using adjacent agreement as a measure allows differentiation between high- and low-performing teams on video review. © 2015 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on Continuing Medical Education, Association for Hospital Medical Education.

Total Immersion Therapy for Autism.

ERIC Educational Resources Information Center

Bondy, Andrew

1999-01-01

This tongue-in-cheek humorous article reviews the therapeutic interventions available for children with autism by slightly changing the terminology used. Examples include "discrete trails,""indiscreet trails,""behavior oralysis,""incident training,""by-the-way training," the "unnatural language paradigm,""facilitated miscommunication," and…

Health goal priming as a situated intervention tool: how to benefit from nonconscious motivational routes to health behaviour.

PubMed

Papies, Esther K

2016-12-01

Recent research has shown the limited effects of intentions on behaviour, so that novel methods to facilitate behaviour change are needed that do not rely on conscious intentions. Here, it is argued that nonintentional effects on health behaviour, such as the effects of habits, impulses, and nonconscious goals, occur through the activation of cognitive structures by specific situations. Interventions should therefore be situated to change these effects, either by changing the critical cognitive structures (training interventions), or by changing which cognitive structures get activated (cueing interventions). The current article presents this framework for situated interventions, as well as examples of interventions of each type. Then, it introduces goal priming as a cueing intervention tool to activate health goals and thus facilitate healthier behaviour, even in tempting situations that typically activate short-term hedonic goals. Following a review of empirical evidence, five principles for the effective application of health goal primes are proposed, namely (1) to target individuals who value the primed goals, (2) by activating their specific motivation, (3) through effective cues (4) that attract attention at the right time. Finally, (5) an effective goal-directed behaviour needs to be known and accessible to the primed individual. These principles are illustrated with examples of different health behaviours in order to facilitate their application for successful behaviour change.

Health goal priming as a situated intervention tool: how to benefit from nonconscious motivational routes to health behaviour

PubMed Central

Papies, Esther K.

2016-01-01

ABSTRACT Recent research has shown the limited effects of intentions on behaviour, so that novel methods to facilitate behaviour change are needed that do not rely on conscious intentions. Here, it is argued that nonintentional effects on health behaviour, such as the effects of habits, impulses, and nonconscious goals, occur through the activation of cognitive structures by specific situations. Interventions should therefore be situated to change these effects, either by changing the critical cognitive structures (training interventions), or by changing which cognitive structures get activated (cueing interventions). The current article presents this framework for situated interventions, as well as examples of interventions of each type. Then, it introduces goal priming as a cueing intervention tool to activate health goals and thus facilitate healthier behaviour, even in tempting situations that typically activate short-term hedonic goals. Following a review of empirical evidence, five principles for the effective application of health goal primes are proposed, namely (1) to target individuals who value the primed goals, (2) by activating their specific motivation, (3) through effective cues (4) that attract attention at the right time. Finally, (5) an effective goal-directed behaviour needs to be known and accessible to the primed individual. These principles are illustrated with examples of different health behaviours in order to facilitate their application for successful behaviour change. PMID:27144729

Trabasa - Traditional Architecture Recorded by Means of Building Archaeology in Saudi Arabia: Workshop in Jeddah

NASA Astrophysics Data System (ADS)

Herbig, U.; Jäger-Klein, C.; Mayer, I.; Mortada, H.; Styhler-Aydın, G.

2013-07-01

Saudi Arabia has a rich architectural heritage that can be found in all regions of the vast country. Except for a small number of publications the recording and documentation of the traditional built environment was not content of detailed scientific investigations so far. But with the increasing decay of the architectural heritage the interest for this kind of research is rising. A mirror of this efforts is the National Built Heritage Forum, annual conference, launched in 2010 by his excellency Prince Sultan bin Salman bin Abdulaziz Al Saud and the Saudi Commission for Tourism and Antiquities (SCTA). In that frame Saudi universities are intensifying research and educational programs for the research of traditional architecture. In 2008 the Department of Architecture of the College of Environmental Design at the King Abdulaziz University established a cooperation with the Department of History of Architecture and Building Archaeology of the Vienna University of Technology with the aim to start an exchange of knowledge and experience in building archaeology and building survey. An important part of this cooperation was a workshop for staff and students in the historic centre of Jeddah. The aim was to train methods and techniques on typical examples in the old town of Jeddah, Al Balad. This paper is describing the layout of the workshop, the process of the work and examples of the results.

Short and Long-Term Impacts of the Cottrell Scholars Collaborative New Faculty Workshop

ERIC Educational Resources Information Center

Stains, Marilyne; Pilarz, Matthew; Chakraverty, Devasmita

2015-01-01

Postsecondary chemistry instructors typically have received little pedagogical training as graduate students and postdoctoral research assistants. Moreover, professional development opportunities are often limited at their own institution. This lack of training has resulted in a gap between the instructional strategies enacted in chemistry courses…

Interactive Simulator Training in Civil Construction: Evaluation from the Trainer's Perspective

ERIC Educational Resources Information Center

Tichon, Jennifer; Diver, Phil

2012-01-01

The popularity of simulators to augment training programs for operators of heavy machinery has been growing across several industries including mining, rail and more recently construction. High-fidelity, interactive simulation is typically achieved through complete immersion in brief, stressful and complex VR scenarios. The use of simulation…

Business Models for Training and Performance Improvement Departments

ERIC Educational Resources Information Center

Carliner, Saul

2004-01-01

Although typically applied to entire enterprises, the concept of business models applies to training and performance improvement groups. Business models are "the method by which firm[s] build and use [their] resources to offer.. value." Business models affect the types of projects, services offered, skills required, business processes, and type of…

Vocationalism Varies (A Lot): A 12-Country Multivariate Analysis of Participation in Formal Adult Learning

ERIC Educational Resources Information Center

Boeren, Ellen; Holford, John

2016-01-01

To encourage adult participation in education and training, contemporary policy makers typically encourage education and training provision to have a strongly vocational (employment-related) character, while also stressing individuals' responsibility for developing their own learning. Adults' motivation to learn is not, however, purely…

Apples to Oranges: Benchmarking Vocational Education and Training Programmes

ERIC Educational Resources Information Center

Bogetoft, Peter; Wittrup, Jesper

2017-01-01

This paper discusses methods for benchmarking vocational education and training colleges and presents results from a number of models. It is conceptually difficult to benchmark vocational colleges. The colleges typically offer a wide range of course programmes, and the students come from different socioeconomic backgrounds. We solve the…

Is Working Memory Training Effective? A Meta-Analytic Review

ERIC Educational Resources Information Center

Melby-Lervag, Monica; Hulme, Charles

2013-01-01

It has been suggested that working memory training programs are effective both as treatments for attention-deficit/hyperactivity disorder (ADHD) and other cognitive disorders in children and as a tool to improve cognitive ability and scholastic attainment in typically developing children and adults. However, effects across studies appear to be…

Training Paraprofessionals to Implement the Picture Exchange Communication System (PECS)

ERIC Educational Resources Information Center

Sloman, Glenn Matthew

2010-01-01

Based on Skinner's "Verbal Behavior" (1957), the picture exchange communication system (PECS) was designed to teach children with autism functional verbal behavior. Much research has demonstrated the effectiveness and efficiency of PECS in building verbal behavior. However, because PECS training is typically presented in a group format and later…

Learning from Avatars: Learning Assistants Practice Physics Pedagogy in a Classroom Simulator

ERIC Educational Resources Information Center

Chini, Jacquelyn J.; Straub, Carrie L.; Thomas, Kevin H.

2016-01-01

Undergraduate students are increasingly being used to support course transformations that incorporate research-based instructional strategies. While such students are typically selected based on strong content knowledge and possible interest in teaching, they often do not have previous pedagogical training. The current training models make use of…

Training for Fostering Knowledge Co-Construction from Collaborative Inference-Drawing

ERIC Educational Resources Information Center

Deiglmayr, Anne; Spada, Hans

2011-01-01

Groups typically have difficulties drawing inferences that integrate individuals' unique information (collaborative inferences) and thus yield a true assembly bonus. An experiment with 36 dyads of university-level students in four training conditions showed, particularly in untrained dyads, that collaborative inferences were less likely to be…

Infant Sign Training and Functional Analysis

ERIC Educational Resources Information Center

Normand, Matthew P.; Machado, Mychal A.; Hustyi, Kristin M.; Morley, Allison J.

2011-01-01

We taught manual signs to typically developing infants using a reversal design and caregiver-nominated stimuli. We delivered the stimuli on a time-based schedule during baseline. During the intervention, we used progressive prompting and reinforcement, described by Thompson et al. (2004, 2007), to establish mands. Following sign training, we…

Methodology of shooting training using modern IT techniques

NASA Astrophysics Data System (ADS)

Gudzbeler, Grzegorz; Struniawski, Jarosław

2017-08-01

Mastering, improvement, shaping and preservation of skills of safe, efficient and effective use of the firearm requires the use of relevant methodology of conducting the shooting training. However reality of police trainings does not usually allow for intensive training shooting with the use of ammunition. An alternative solution is the use of modern training technologies. Example of this is the "Virtual system of improvement tactics of intervention services responsible for security and shooting training." Introduction of stimulator to police trainings will enable complete stuff preparation to achieve its tasks, creating potential of knowledge and experience in many areas, far exceeding the capabilities of conventional training.

Generalization of Auditory Sensory and Cognitive Learning in Typically Developing Children.

PubMed

Murphy, Cristina F B; Moore, David R; Schochat, Eliane

2015-01-01

Despite the well-established involvement of both sensory ("bottom-up") and cognitive ("top-down") processes in literacy, the extent to which auditory or cognitive (memory or attention) learning transfers to phonological and reading skills remains unclear. Most research has demonstrated learning of the trained task or even learning transfer to a closely related task. However, few studies have reported "far-transfer" to a different domain, such as the improvement of phonological and reading skills following auditory or cognitive training. This study assessed the effectiveness of auditory, memory or attention training on far-transfer measures involving phonological and reading skills in typically developing children. Mid-transfer was also assessed through untrained auditory, attention and memory tasks. Sixty 5- to 8-year-old children with normal hearing were quasi-randomly assigned to one of five training groups: attention group (AG), memory group (MG), auditory sensory group (SG), placebo group (PG; drawing, painting), and a control, untrained group (CG). Compliance, mid-transfer and far-transfer measures were evaluated before and after training. All trained groups received 12 x 45-min training sessions over 12 weeks. The CG did not receive any intervention. All trained groups, especially older children, exhibited significant learning of the trained task. On pre- to post-training measures (test-retest), most groups exhibited improvements on most tasks. There was significant mid-transfer for a visual digit span task, with highest span in the MG, relative to other groups. These results show that both sensory and cognitive (memory or attention) training can lead to learning in the trained task and to mid-transfer learning on a task (visual digit span) within the same domain as the trained tasks. However, learning did not transfer to measures of language (reading and phonological awareness), as the PG and CG improved as much as the other trained groups. Further research is required to investigate the effects of various stimuli and lengths of training on the generalization of sensory and cognitive learning to literacy skills.

Improving Outcomes for Youth with ADHD: A Conceptual Framework for Combined Neurocognitive and Skill-Based Treatment Approaches

PubMed Central

Chacko, Anil; Kofler, Michael; Jarrett, Matthew

2014-01-01

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent and chronic mental health condition that often results in substantial impairments throughout life. Although evidence-based pharmacological and psychosocial treatments exist for ADHD, effects of these treatments are acute, do not typically generalize into non-treated settings, rarely sustain over time, and insufficiently affect key areas of functional impairment (i.e., family, social, and academic functioning) and executive functioning. The limitations of current evidence-based treatments may be due to the inability of these treatments to address underlying neurocognitive deficits that are related to the symptoms of ADHD and associated areas of functional impairment. Although efforts have been made to directly target the underlying neurocognitive deficits of ADHD, extant neurocognitive interventions have shown limited efficacy, possibly due to misspecification of training targets and inadequate potency. We argue herein that despite these limitations, next-generation neurocognitive training programs that more precisely and potently target neurocognitive deficits may lead to optimal outcomes when used in combination with specific skill-based psychosocial treatments for ADHD. We discuss the rationale for such a combined treatment approach, prominent examples of this combined treatment approach for other mental health disorders, and potential combined treatment approaches for pediatric ADHD. Finally, we conclude with directions for future research necessary to develop a combined neurocognitive + skill-based treatment for youth with ADHD. PMID:25120200

Visual search behaviour during laparoscopic cadaveric procedures

NASA Astrophysics Data System (ADS)

Dong, Leng; Chen, Yan; Gale, Alastair G.; Rees, Benjamin; Maxwell-Armstrong, Charles

2014-03-01

Laparoscopic surgery provides a very complex example of medical image interpretation. The task entails: visually examining a display that portrays the laparoscopic procedure from a varying viewpoint; eye-hand coordination; complex 3D interpretation of the 2D display imagery; efficient and safe usage of appropriate surgical tools, as well as other factors. Training in laparoscopic surgery typically entails practice using surgical simulators. Another approach is to use cadavers. Viewing previously recorded laparoscopic operations is also a viable additional approach and to examine this a study was undertaken to determine what differences exist between where surgeons look during actual operations and where they look when simply viewing the same pre-recorded operations. It was hypothesised that there would be differences related to the different experimental conditions; however the relative nature of such differences was unknown. The visual search behaviour of two experienced surgeons was recorded as they performed three types of laparoscopic operations on a cadaver. The operations were also digitally recorded. Subsequently they viewed the recording of their operations, again whilst their eye movements were monitored. Differences were found in various eye movement parameters when the two surgeons performed the operations and where they looked when they simply watched the recordings of the operations. It is argued that this reflects the different perceptual motor skills pertinent to the different situations. The relevance of this for surgical training is explored.

Stockpile Dismantlement Database Training Materials

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

Not Available

1993-11-01

This document, the Stockpile Dismantlement Database (SDDB) training materials is designed to familiarize the user with the SDDB windowing system and the data entry steps for Component Characterization for Disposition. The foundation of information required for every part is depicted by using numbered graphic and text steps. The individual entering data is lead step by step through generic and specific examples. These training materials are intended to be supplements to individual on-the-job training.

Training production of lexical stress in typically developing children using orthographically biased stimuli and principles of motor learning.

PubMed

van Rees, Lauren J; Ballard, Kirrie J; McCabe, Patricia; Macdonald-D'Silva, Anita G; Arciuli, Joanne

2012-08-01

Impaired lexical stress production characterizes multiple pediatric speech disorders. Effective remediation strategies are not available, and little is known about the normal process of learning to assign and produce lexical stress. This study examined whether typically developing (TD) children can be trained to produce lexical stress on bisyllabic pseudowords that are orthographically biased to a strong-weak or weak-strong pattern (e.g., MAMbey or beDOON), in combination with the principles of motor learning (PML). Fourteen TD children ages 5;0 (years;months) to 13;0 were randomly assigned to a training or control group using concealed allocation within blocks. A pre- to posttraining group design was used to examine the acquisition, retention, and generalization of lexical stress production. The training group learned to produce appropriate lexical stress for the pseudowords with strong maintenance and generalization to related untrained stimuli. Accuracy of stress production did not change in the control group. TD children can learn to produce lexical stress patterns for orthographically biased pseudowords via explicit training methods. Findings have relevance for the study of languages other than English and for a range of prosodic disorders.

Learning and Understanding System Stability Using Illustrative Dynamic Texture Examples

ERIC Educational Resources Information Center

Liu, Huaping; Xiao, Wei; Zhao, Hongyan; Sun, Fuchun

2014-01-01

System stability is a basic concept in courses on dynamic system analysis and control for undergraduate students with computer science backgrounds. Typically, this was taught using a simple simulation example of an inverted pendulum. Unfortunately, many difficult issues arise in the learning and understanding of the concepts of stability,…

The Transmission Line as a Simple Example for Introducing Integral Equations to Undergraduates

ERIC Educational Resources Information Center

Rothwell, E. J.

2009-01-01

Integral equations are becoming a common means for describing problems in electromagnetics, and so it is important to expose students to methods for their solution. Typically this is done using examples in antennas, scattering, or electrostatics. Unfortunately, many difficult issues arise in the formulation and solution of the associated…

Meaningful Intuitions: The Evidential Role of Intuitions in the Study of Language

ERIC Educational Resources Information Center

Maynes, Jeffrey

2012-01-01

Philosophical theories are often repudiated, or taken to be repudiated, by identifying counter-examples. These counter-examples are typically based upon our natural response to a real or hypothetical scenario, also called our intuition about the scenario. This methodology of appealing to intuition has been the focus of recent debates about…

Designing Clinical Examples To Promote Pattern Recognition: Nursing Education-Based Research and Practical Applications.

ERIC Educational Resources Information Center

Welk, Dorette Sugg

2002-01-01

Sophomore nursing students (n=162) examined scenarios depicting typical and atypical signs of heart attack. Examples were structured to include essential and nonessential symptoms, enabling pattern recognition and improved performance. The method provides a way to prepare students to anticipate and recognize life-threatening situations. (Contains…

Cyclic Polyynes as Examples of the Quantum Mechanical Particle on a Ring

ERIC Educational Resources Information Center

Anderson, Bruce D.

2012-01-01

Many quantum mechanical models are discussed as part of the undergraduate physical chemistry course to help students understand the connection between eigenvalue expressions and spectroscopy. Typical examples covered include the particle in a box, the harmonic oscillator, the rigid rotor, and the hydrogen atom. This article demonstrates that…

Distributed Group Design Process: Lessons Learned.

ERIC Educational Resources Information Center

Eseryel, Deniz; Ganesan, Radha

A typical Web-based training development team consists of a project manager, an instructional designer, a subject-matter expert, a graphic artist, and a Web programmer. The typical scenario involves team members working together in the same setting during the entire design and development process. What happens when the team is distributed, that is…

Evaluation Development and Use in Social Work Practice

ERIC Educational Resources Information Center

Gervin, Derrick W.; Davis, Sarita K.; Jones, Jenny L.; Counts-Spriggs, Margaret S. E.; Farris, Kimberly D.

2010-01-01

Background: Social workers entering the profession typically receive little, if any, content or training on evaluation practice. This is, in part, due to limited course offerings outside of the typical courses in most schools of social work. In addition, practicing social workers who often serve in the role as field instructors have not fully…

An introduction to deep learning on biological sequence data: examples and solutions.

PubMed

Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Sønderby, Casper Kaae; Winther, Ole; Sønderby, Søren Kaae

2017-11-15

Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use libraries for implementation and training of neural networks are the drivers of this development. The use of deep learning has been especially successful in image recognition; and the development of tools, applications and code examples are in most cases centered within this field rather than within biology. Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively easily be designed and trained to state-of-the-art performance on three biological sequence problems: prediction of subcellular localization, protein secondary structure and the binding of peptides to MHC Class II molecules. All implementations and datasets are available online to the scientific community at https://github.com/vanessajurtz/lasagne4bio. skaaesonderby@gmail.com. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Applications of neural networks in training science.

PubMed

Pfeiffer, Mark; Hohmann, Andreas

2012-04-01

Training science views itself as an integrated and applied science, developing practical measures founded on scientific method. Therefore, it demands consideration of a wide spectrum of approaches and methods. Especially in the field of competitive sports, research questions are usually located in complex environments, so that mainly field studies are drawn upon to obtain broad external validity. Here, the interrelations between different variables or variable sets are mostly of a nonlinear character. In these cases, methods like neural networks, e.g., the pattern recognizing methods of Self-Organizing Kohonen Feature Maps or similar instruments to identify interactions might be successfully applied to analyze data. Following on from a classification of data analysis methods in training-science research, the aim of the contribution is to give examples of varied sports in which network approaches can be effectually used in training science. First, two examples are given in which neural networks are employed for pattern recognition. While one investigation deals with the detection of sporting talent in swimming, the other is located in game sports research, identifying tactical patterns in team handball. The third and last example shows how an artificial neural network can be used to predict competitive performance in swimming. Copyright © 2011 Elsevier B.V. All rights reserved.

Incubating the research independence of a medical scientist training program graduate: a case study.

PubMed

Dzirasa, Kafui; Krishnan, Ranga R; Williams, R Sanders

2015-02-01

Physician-scientists play a critical role in discovering new biological knowledge and translating findings into medical practices that can improve clinical outcomes. Collectively, the National Institutes of Health (NIH) and its affiliated Medical Scientist Training Programs (MSTPs) invest upwards of $500,000 to fully train each of the 900+ MD/PhD students enrolled in these programs. Nevertheless, graduates face the challenges of navigating fragmented intervals of clinical training and research engagement, reinitiating research upon completing their residencies, managing financial pressures, and competing for funding following what is typically four or more years of research inactivity. Together, these barriers contribute to the high attrition rate of MSTP graduates from research careers. The authors designed and implemented (2009-2014), for a single trainee, an alternative postgraduate training model characterized by early research engagement, strategic mentoring, unyoked clinical and research milestones, and dedicated financial support. The pilot training experiment was so successful that the trainee secured an NIH project grant and completed his transition to research independence 3.5 years after starting the experimental training schedule-nearly 9 years earlier (based on age) than is typical for MD/PhDs transitioning from mentored to independent research. This success has demonstrated that unyoking research engagement from conventional calendar-based clinical training milestones is a feasible, effective means of incubating research independence in MSTP graduates. The authors encourage the design and application of similar unconventional approaches that interweave residency training with ongoing research activity for appropriate candidates, especially in subspecialties with increased MSTP graduate enrollment.

Product identification techniques used as training aids for analytical chemists

NASA Technical Reports Server (NTRS)

Grillo, J. P.

1968-01-01

Laboratory staff assistants are trained to use data and observations of routine product analyses performed by experienced analytical chemists when analyzing compounds for potential toxic hazards. Commercial products are used as examples in teaching the analytical approach to unknowns.

The Efficacy of Conflict-Mediation Training in Elementary Schools.

ERIC Educational Resources Information Center

Campbell, Karen

2003-01-01

Conflict resolution training teaches students to manage interpersonal conflict more constructively. This approach to safe schools has benefits but needs more research to demonstrate effectiveness. Alberta's Safe and Caring Schools project is a replicable example. (Contains 25 references.) (SK)

Building Training Curricula for Accelerating the Use of NOAA Climate Products and Tools

NASA Astrophysics Data System (ADS)

Timofeyeva-Livezey, M. M.; Meyers, J. C.; Stevermer, A.; Abshire, W. E.; Beller-Simms, N.; Herring, D.

2016-12-01

The National Oceanic and Atmospheric Administration (NOAA) plays a leading role in U.S. intergovernmental efforts on the Climate Data Initiative and the Climate Resilience Toolkit (CRT). CRT (http://toolkit.climate.gov/) is a valuable resource that provides tools, information, and subject matter expertise to decision makers in various sectors, such as agriculture, water resources and transportation, to help them build resilience to our changing climate. In order to make best use of the toolkit and all the resources within it, a training component is critical. The training section helps building users' understanding of the data, science, and impacts of climate variability and change. CRT identifies five steps in building resilience that includes use of appropriate tools to support decision makers depending on their needs. One tool that can be potentially integrated into CRT is NOAA's Local Climate Analysis Tool (LCAT), which provides access to trusted NOAA data and scientifically-sound analysis techniques for doing regional and local climate studies on climate variability and climate change. However, in order for LCAT to be used effectively, we have found an iterative learning approach using specific examples to train users. For example, for LCAT application in analysis of water resources, we use existing CRT case studies for Arizona and Florida water supply users. The Florida example demonstrates primary sensitivity to climate variability impacts, whereas the Arizona example takes into account longer- term climate change. The types of analyses included in LCAT are time series analysis of local climate and the estimated rate of change in the local climate. It also provides a composite analysis to evaluate the relationship between local climate and climate variability events such as El Niño Southern Oscillation, the Pacific North American Index, and other modes of climate variability. This paper will describe the development of a training module for use of LCAT and its integration into CRT. An iterative approach was used that incorporates specific examples of decision making while working with subject matter experts within the water supply community. The recommended strategy is to use a "stepping stone" learning structure to build users knowledge of best practices for use of LCAT.

Exploring the role and function of trial steering committees: results of an expert panel meeting.

PubMed

Harman, Nicola L; Conroy, Elizabeth J; Lewis, Steff C; Murray, Gordon; Norrie, John; Sydes, Matt R; Lane, J Athene; Altman, Douglas G; Baigent, Colin; Bliss, Judith M; Campbell, Marion K; Elbourne, Diana; Evans, Stephen; Sandercock, Peter; Gamble, Carrol

2015-12-30

The independent oversight of clinical trials, which is recommended by the Medical Research Council (MRC) Guidelines for Good Clinical Practice, is typically provided by an independent advisory Data Monitoring Committee (DMC) and an independent executive committee, to whom the DMC makes recommendations. The detailed roles and function of this executive committee, known as the Trial Steering Committee (TSC), have not previously been studied or reviewed since those originally proposed by the MRC in 1998. An expert panel (n = 7) was convened comprising statisticians, clinicians and trial methodologists with prior TSC experience. Twelve questions about the role and responsibilities of the TSC were discussed by the panel at two full-day meetings. Each meeting was transcribed in full and the discussions were summarised. The expert panel reached agreement on the role of the TSC, to which it was accountable, the membership, the definition of independence, and the experience and training needed. The management of ethical issues, difficult/complex situations and issues the TSC should not ask the DMC to make recommendations on were more difficult to discuss without specific examples, but support existed for further work to help share issues and to provide appropriate training for TSC members. Additional topics discussed, which had not been identified by previous work relating to the DMCs but were pertinent to the role of the TSC, included the following: review of data sharing requests, indemnity, lifespan of the TSC, general TSC administration, and the roles of both the Funder and the Sponsor. This paper presents recommendations that will contribute to the revision and update of the MRC TSC terms of reference. Uncertainty remains in some areas due to the absence of real-life examples; future guidance on these issues would benefit from a repository of case studies. Notably, the role of a patient and public involvement (PPI) contributor was not discussed, and further work is warranted to explore the role of a PPI contributor in independent trial oversight.

Cuerpo de Paz Manual de Sistema de Programacion y Capacitacion (Peace Corps Programming and Training System Manual): T0063.

ERIC Educational Resources Information Center

Peace Corps, Washington, DC.

This Spanish version of the Peace Corps Programming and Training System Manual is designed to help field staff members of the Peace Corps train volunteers. Its task descriptions, guidelines, examples, and definitions are intended to be practical and informative rather than restrictive. The manual is divided into six major sections: (1)…

Using Bursa Folk Songs for Voice Training in Departments of Music Education in Turkey

ERIC Educational Resources Information Center

GüL, Gülnihal; Yildiz, Nedim; Yildiz, Goknur; Necef, Lale; Özer, Nilüfer; Egri, Mehmet

2016-01-01

The training of a music teacher's voice, via the examples in his own culture can contribute to getting better results in music education. Therefore, it is believed that transition to Contemporary Turkish Music and then to universal music from our traditional music may be much easier. Accordingly, the use of national resources in voice training is…

Lifelong Learning and Employability: Is the European Model of Vocational Training in Crisis?

ERIC Educational Resources Information Center

Heidemann, Winfried

This paper explores the traditional European model of vocational training in light of a new focus on employability and lifelong learning that is becoming more common in Europe. It includes the following four sections: (1) an overview of some examples of vocational training systems in Europe and the proposal that they share enough to be considered…

Training for the Self-Catering Industry. An Example of College/Employer Collaboration in Training for Unemployed Adults. FEU/REPLAN.

ERIC Educational Resources Information Center

Further Education Unit, London (England).

A Local Collaborative Project was developed by an employers' association (Best of British Holidays), Evesham College of Further Education, the Department of Education and Science PICKUP Unit, and Hereford and Worcester Local Education Authority to train workers for the self-catering (travel and tourism) industry in England. During the project,…

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.

Mixed messages in learning communication skills? Students comparing role model behaviour in clerkships with formal training.

PubMed

Essers, Geurt; Van Weel-Baumgarten, Evelyn; Bolhuis, Sanneke

2012-01-01

Medical students learn professional communication through formal training and in clinical practice. Physicians working in clinical practice have a powerful influence on student learning. However, they may demonstrate communication behaviours not aligning with recommendations in training programs. This study aims to identify more precisely what differences students perceive between role model communication behaviour during clerkships and formal training. In a cross-sectional study, data were collected about physicians' communication performance as perceived by students. Students filled out a questionnaire in four different clerkships in their fourth and fifth year. Just over half of the students reported communication similar to formal training. This was especially true for students in the later clerkships (paediatrics and primary care). Good examples were seen in providing information corresponding to patients' needs and in shared decision making, although students often noted that in fact the doctor made the decision. Bad examples were observed in exploring cognitions and emotions, and in providing information meeting patient's pace. Further study is needed on actual physician behaviour in clinical practice. From our results, we conclude that students need help in reflecting on and learning from the gap in communication patterns they observe in training versus clinical practice.

Learning the 3-D structure of objects from 2-D views depends on shape, not format

PubMed Central

Tian, Moqian; Yamins, Daniel; Grill-Spector, Kalanit

2016-01-01

Humans can learn to recognize new objects just from observing example views. However, it is unknown what structural information enables this learning. To address this question, we manipulated the amount of structural information given to subjects during unsupervised learning by varying the format of the trained views. We then tested how format affected participants' ability to discriminate similar objects across views that were rotated 90° apart. We found that, after training, participants' performance increased and generalized to new views in the same format. Surprisingly, the improvement was similar across line drawings, shape from shading, and shape from shading + stereo even though the latter two formats provide richer depth information compared to line drawings. In contrast, participants' improvement was significantly lower when training used silhouettes, suggesting that silhouettes do not have enough information to generate a robust 3-D structure. To test whether the learned object representations were format-specific or format-invariant, we examined if learning novel objects from example views transfers across formats. We found that learning objects from example line drawings transferred to shape from shading and vice versa. These results have important implications for theories of object recognition because they suggest that (a) learning the 3-D structure of objects does not require rich structural cues during training as long as shape information of internal and external features is provided and (b) learning generates shape-based object representations independent of the training format. PMID:27153196

Neural-network-directed alignment of optical systems using the laser-beam spatial filter as an example

NASA Technical Reports Server (NTRS)

Decker, Arthur J.; Krasowski, Michael J.; Weiland, Kenneth E.

1993-01-01

This report describes an effort at NASA Lewis Research Center to use artificial neural networks to automate the alignment and control of optical measurement systems. Specifically, it addresses the use of commercially available neural network software and hardware to direct alignments of the common laser-beam-smoothing spatial filter. The report presents a general approach for designing alignment records and combining these into training sets to teach optical alignment functions to neural networks and discusses the use of these training sets to train several types of neural networks. Neural network configurations used include the adaptive resonance network, the back-propagation-trained network, and the counter-propagation network. This work shows that neural networks can be used to produce robust sequencers. These sequencers can learn by example to execute the step-by-step procedures of optical alignment and also can learn adaptively to correct for environmentally induced misalignment. The long-range objective is to use neural networks to automate the alignment and operation of optical measurement systems in remote, harsh, or dangerous aerospace environments. This work also shows that when neural networks are trained by a human operator, training sets should be recorded, training should be executed, and testing should be done in a manner that does not depend on intellectual judgments of the human operator.

Decontextualised Minds: Adolescents with Autism Are Less Susceptible to the Conjunction Fallacy than Typically Developing Adolescents

ERIC Educational Resources Information Center

Morsanyi, Kinga; Handley, Simon J.; Evans, Jonathan S. B. T.

2010-01-01

The conjunction fallacy has been cited as a classic example of the automatic contextualisation of problems. In two experiments we compared the performance of autistic and typically developing adolescents on a set of conjunction fallacy tasks. Participants with autism were less susceptible to the conjunction fallacy. Experiment 2 also demonstrated…

Parallel Simulation of Subsonic Fluid Dynamics on a Cluster of Workstations.

DTIC Science & Technology

1994-11-01

inside wind musical instruments. Typical simulations achieve $80\\%$ parallel efficiency (speedup/processors) using 20 HP-Apollo workstations. Detailed...TERMS AI, MIT, Artificial Intelligence, Distributed Computing, Workstation Cluster, Network, Fluid Dynamics, Musical Instruments 17. SECURITY...for example, the flow of air inside wind musical instruments. Typical simulations achieve 80% parallel efficiency (speedup/processors) using 20 HP

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.

Training of interventional cardiologists in radiation protection--the IAEA's initiatives.

PubMed

Rehani, Madan M

2007-01-08

The International Atomic Energy Agency (IAEA) has initiated a major international initiative to train interventional cardiologists in radiation protection as a part of its International Action Plan on the radiological protection of patients. A simple programme of two days' training has been developed, covering possible and observed radiation effects among patients and staff, international standards, dose management techniques, examples of good and bad practice and examples indicating prevention of possible injuries as a result of good practice of radiation protection. The training material is freely available on CD from the IAEA. The IAEA has conducted two events in 2004 and 2005 and number of events are planned in 2006. The survey conducted among the cardiologists participating in these programmes indicates that over 80% of them were attending such a structured programme on radiation protection for the first time. As the magnitude of X-ray usage in cardiology grows to match that in interventional radiology, the standards of training on radiation effects, radiation physics and radiation protection in interventional cardiology should also match those in interventional radiology.

Training product unit neural networks with genetic algorithms

NASA Technical Reports Server (NTRS)

Janson, D. J.; Frenzel, J. F.; Thelen, D. C.

1991-01-01

The training of product neural networks using genetic algorithms is discussed. Two unusual neural network techniques are combined; product units are employed instead of the traditional summing units and genetic algorithms train the network rather than backpropagation. As an example, a neural netork is trained to calculate the optimum width of transistors in a CMOS switch. It is shown how local minima affect the performance of a genetic algorithm, and one method of overcoming this is presented.

Design and Realization of Ship Fire Simulation Training System Based on Unity3D

NASA Astrophysics Data System (ADS)

Ting, Ye; Feng, Chen; Wenqiang, Wang; Kai, Yang

2018-01-01

Ship fire training is a very important training to ensure the safety of the ship, but limited by the characteristics of the ship itself, it is difficult to carry out fire training on the ship. This paper proposes to introduce a virtual reality technology to build a set of ship fire simulation training system, used to improve the quality of training, reduce training costs. First, the system design ideas are elaborated, and the system architecture diagram is given. Then, the key technologies in the process of system implementation are analyzed. Finally, the system examples are built and tested.

Labour Markets, Unemployment and Training for Quality: Germany and Japan.

ERIC Educational Resources Information Center

Lange, Thomas; Maguire, Keith

1998-01-01

Although unemployment is a serious problem in Europe, deregulating labor markets is not the solution. Deregulation could lead to decline in quality and competitiveness. The example of Japan shows the interaction of education, training, human resource management, and quality control. (SK)

Mobilizing Training Resources for Rural Foster Parents, Adoptive Parents, and Applicants in Oregon, U.S.A.

ERIC Educational Resources Information Center

Whitmore, Jean

1991-01-01

A program for legally mandated training of foster and adoptive parents in rural Oregon is described. The development of this program and its funding sources can serve as an example for other rural areas. (BC)

Liability for Student Workers.

ERIC Educational Resources Information Center

Tryon, Jonathan S.

1994-01-01

Examines liability issues for academic libraries=FE student workers. Discussion includes staff training; hiring practices; supervision; negligence; emergency procedures; the use of reasonable care; and knowledge of library rules. Specific nonlibrary liability cases are cited as examples of the importance of employee screening, training, and danger…

Performance Simulation: The Method.

ERIC Educational Resources Information Center

Rucker, Lance M.

A logical, performer-based approach to teaching psychomotor skills is described. Four phases of surgical psychomotor skills training are identified, using an example from a dental preclinical training curriculum: (1) dental students are acquainted with the postural and positional parameters of balanced psychomotor performances; (2) students learn…

Choosing VET: Aspirations, Intentions and Choice

ERIC Educational Resources Information Center

Hargreaves, Jo; Osborne, Kristen

2017-01-01

This summary brings together the findings from two research projects: "Choosing VET: Investigating the VET Aspirations of School Students" and "In Their Words: Student Choice in Training Markets--Victorian Examples." The research investigated school students' post-school aspirations for vocational education and training (VET),…

Learning and Earning: 1974 and the Decade

ERIC Educational Resources Information Center

Harris, Stanley; Fredericks, Ted

1974-01-01

There are many jobs available for persons with the required training. The article explores some of the areas where job openings exist, discusses the types of schooling appropriate, and provides examples for relating military training and prison rehabilitation programs to present times. (AG)

ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms.

PubMed

Hagen, Espen; Ness, Torbjørn V; Khosrowshahi, Amir; Sørensen, Christina; Fyhn, Marianne; Hafting, Torkel; Franke, Felix; Einevoll, Gaute T

2015-04-30

New, silicon-based multielectrodes comprising hundreds or more electrode contacts offer the possibility to record spike trains from thousands of neurons simultaneously. This potential cannot be realized unless accurate, reliable automated methods for spike sorting are developed, in turn requiring benchmarking data sets with known ground-truth spike times. We here present a general simulation tool for computing benchmarking data for evaluation of spike-sorting algorithms entitled ViSAPy (Virtual Spiking Activity in Python). The tool is based on a well-established biophysical forward-modeling scheme and is implemented as a Python package built on top of the neuronal simulator NEURON and the Python tool LFPy. ViSAPy allows for arbitrary combinations of multicompartmental neuron models and geometries of recording multielectrodes. Three example benchmarking data sets are generated, i.e., tetrode and polytrode data mimicking in vivo cortical recordings and microelectrode array (MEA) recordings of in vitro activity in salamander retinas. The synthesized example benchmarking data mimics salient features of typical experimental recordings, for example, spike waveforms depending on interspike interval. ViSAPy goes beyond existing methods as it includes biologically realistic model noise, synaptic activation by recurrent spiking networks, finite-sized electrode contacts, and allows for inhomogeneous electrical conductivities. ViSAPy is optimized to allow for generation of long time series of benchmarking data, spanning minutes of biological time, by parallel execution on multi-core computers. ViSAPy is an open-ended tool as it can be generalized to produce benchmarking data or arbitrary recording-electrode geometries and with various levels of complexity. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Semantic False Memories in the Form of Derived Relational Intrusions Following Training

ERIC Educational Resources Information Center

Guinther, Paul M.; Dougher, Michael J.

2010-01-01

Contemporary behavior analytic research is making headway in characterizing memory phenomena that typically have been characterized by cognitive models, and the current study extends this development by producing "false memories" in the form of functional equivalence responding. A match-to-sample training procedure was administered in order to…

Training Facial Expression Production in Children on the Autism Spectrum

ERIC Educational Resources Information Center

Gordon, Iris; Pierce, Matthew D.; Bartlett, Marian S.; Tanaka, James W.

2014-01-01

Children with autism spectrum disorder (ASD) show deficits in their ability to produce facial expressions. In this study, a group of children with ASD and IQ-matched, typically developing (TD) children were trained to produce "happy" and "angry" expressions with the FaceMaze computer game. FaceMaze uses an automated computer…

Increases in muscle strength and balance using a resistance training program administered via a telecommunications system in older adults

USDA-ARS?s Scientific Manuscript database

BACKGROUND: Resistance training programs have been found to improve muscle strength, physical function, and depressive symptoms in middle-aged and older adults. These programs have typically been provided in clinical facilities, health clubs, and senior centers, which may be inconvenient and/or cos...

Symmetry Breaking Analysis of Prism Adaptation's Latent Aftereffect

ERIC Educational Resources Information Center

Frank, Till D.; Blau, Julia J. C.; Turvey, Michael T.

2012-01-01

The effect of prism adaptation on movement is typically reduced when the movement at test (prisms off) differs on some dimension from the movement at training (prisms on). Some adaptation is latent, however, and only revealed through further testing in which the movement at training is fully reinstated. Applying a nonlinear attractor dynamic model…

Integrating Research Skills Training into Non--Research Methods Courses

ERIC Educational Resources Information Center

Woolf, Jules

2014-01-01

Research skills are a valued commodity by industry and university administrators. Despite the importance placed on these skills students typically dislike taking research method courses where these skills are learned. However, training in research skills does not necessarily have to be confined to these courses. In this study participants at a…

Tests of the Amtrak SDP-40F Train Consist Conducted on Chessie System Track

DOT National Transportation Integrated Search

1979-05-01

This report describes tests of an SDP-40F train consist conducted on Chessie System track during June 1977. The tests consisted of the operation of two typical AMTRAK passenger consists, one powered by two SDP-40F's and the other by two E-8's, over a...

The Nature of Experience Determines Object Representations in the Visual System

ERIC Educational Resources Information Center

Wong, Yetta K.; Folstein, Jonathan R.; Gauthier, Isabel

2012-01-01

Visual perceptual learning (PL) and perceptual expertise (PE) traditionally lead to different training effects and recruit different brain areas, but reasons for these differences are largely unknown. Here, we tested how the learning history influences visual object representations. Two groups were trained with tasks typically used in PL or PE…

Building an Inclusive Research Team: The Importance of Team Building and Skills Training

ERIC Educational Resources Information Center

Strnadová, Iva; Cumming, Therese M.; Knox, Marie; Parmenter, Trevor

2014-01-01

Background: Inclusive research teams typically describe their experiences and analyse the type of involvement of researchers with disability, but the process of building research teams and the need for research training still remain underexplored in the literature. Materials and Method: Four researchers with intellectual disabilities and four…

Improving working memory abilities in individuals with Down syndrome: a treatment case study

PubMed Central

Costa, Hiwet Mariam; Purser, Harry R. M.; Passolunghi, Maria Chiara

2015-01-01

Working memory (WM) skills of individuals with Down’s syndrome (DS) tend to be very poor compared to typically developing children of similar mental age. In particular, research has found that in individuals with DS visuo-spatial WM is better preserved than verbal WM. This study investigated whether it is possible to train short-term memory (STM) and WM abilities in individuals with DS. The cases of two teenage children are reported: EH, 17 years and 3 months, and AS, 15 years and 11 months. A school-based treatment targeting visuo-spatial WM was given to EH and AS for six weeks. Both prior to and after the treatment, they completed a set of assessments to measure WM abilities and their performance was compared with younger typically developing non-verbal mental age controls. The results showed that the trained participants improved their performance in some of the trained and non-trained WM tasks proposed, especially with regard to the tasks assessing visuo-spatial WM abilities. These findings are discussed on the basis of their theoretical, educational, and clinical implications. PMID:26441713

Evaluating the effects of massed and distributed practice on acquisition and maintenance of tacts and textual behavior with typically developing children.

PubMed

Haq, Shaji S; Kodak, Tiffany

2015-01-01

This study evaluated the effects of massed and distributed practice on the acquisition of tacts and textual behavior in typically developing children. We compared the effects of massed practice (i.e., consolidating all practice opportunities during the week into a single session) and distributed practice (i.e., distributing all practice opportunities across 4 sessions during the week) on the acquisition of textual behavior in English, tacting pictures of common nouns in Spanish, and textual behavior in Spanish using an adapted alternating treatments design embedded within a multiple probe design. We also examined correct responding during probes that (a) excluded prompts and reinforcement and (b) occurred 48 hr after training each week. The results indicated that distributed practice was the more efficient training format. Maintenance data collected up to 4 weeks after training also indicated that the participants consistently displayed higher levels of correct responding to targets that had been trained in distributed format. We discuss implications for practice and potential areas for future research. © Society for the Experimental Analysis of Behavior.

Effects of three interventions on the reading skills of children with reading disabilities in grade 2.

PubMed

Gustafson, Stefan; Fälth, Linda; Svensson, Idor; Tjus, Tomas; Heimann, Mikael

2011-01-01

In a longitudinal intervention study, the effects of three intervention strategies on the reading skills of children with reading disabilities in Grade 2 were analyzed. The interventions consisted of computerized training programs: One bottom-up intervention aimed at improving word decoding skills and phonological abilities, the second intervention focused on top-down processing on the word and sentence levels, and the third was a combination of these two training programs (n = 25 in each group). In addition, there were two comparison groups, 25 children with reading disabilities who received ordinary special instruction and 30 age-matched typical readers. All reading disabled participants completed 25 training sessions with special education teachers. All groups improved their reading skills. The group who received combined training showed higher improvements than the ordinary special instruction group and the typical readers. Different cognitive variables were related to treatment gains for different groups. Thus, a treatment combining bottom-up and top-down aspects of reading was the most effective in general, but individual differences among children need to be considered.

Image simulation for automatic license plate recognition

NASA Astrophysics Data System (ADS)

Bala, Raja; Zhao, Yonghui; Burry, Aaron; Kozitsky, Vladimir; Fillion, Claude; Saunders, Craig; Rodríguez-Serrano, José

2012-01-01

Automatic license plate recognition (ALPR) is an important capability for traffic surveillance applications, including toll monitoring and detection of different types of traffic violations. ALPR is a multi-stage process comprising plate localization, character segmentation, optical character recognition (OCR), and identification of originating jurisdiction (i.e. state or province). Training of an ALPR system for a new jurisdiction typically involves gathering vast amounts of license plate images and associated ground truth data, followed by iterative tuning and optimization of the ALPR algorithms. The substantial time and effort required to train and optimize the ALPR system can result in excessive operational cost and overhead. In this paper we propose a framework to create an artificial set of license plate images for accelerated training and optimization of ALPR algorithms. The framework comprises two steps: the synthesis of license plate images according to the design and layout for a jurisdiction of interest; and the modeling of imaging transformations and distortions typically encountered in the image capture process. Distortion parameters are estimated by measurements of real plate images. The simulation methodology is successfully demonstrated for training of OCR.

Disaster complexity and the Santiago de Compostela train derailment

PubMed Central

Shultz, James M.; Garcia-Vera, Maria Paz; Santos, Clara Gesteira; Sanz, Jesús; Bibel, George; Schulman, Carl; Bahouth, George; Dias Guichot, Yasmin; Espinel, Zelde; Rechkemmer, Andreas

2016-01-01

ABSTRACT This disaster complexity case study examines Spain's deadliest train derailment that occurred on July 24, 2013 on the outskirts of Santiago de Compostela, Galicia, Spain. Train derailments are typically survivable. However, in this case, human error was a primary factor as the train driver powered the Alvia train into a left curve at more than twice the posted speed. All 13 cars came off the rails with many of the carriages careening into a concrete barrier lining the curve, leading to exceptional mortality and injury. Among the 224 train occupants, 80 (36%) were killed and all of the remaining 144 (4%) were injured. The official investigative report determined that this crash was completely preventable. PMID:28265487

STAT FAQs Part 1: Floating Solar | State, Local, and Tribal Governments |

Science.gov Websites

interest in installing this innovative solar technology. For example, several wineries in California are tilt to 11 degrees. NREL research has shown that this is the typical mounting angle for floating solar installation. As an example, a hypothetical 1 MW floating solar array located in Napa, California would

The Importance of Prior Knowledge when Comparing Examples: Influences on Conceptual and Procedural Knowledge of Equation Solving

ERIC Educational Resources Information Center

Rittle-Johnson, Bethany; Star, Jon R.; Durkin, Kelley

2009-01-01

Comparing multiple examples typically supports learning and transfer in laboratory studies and is considered a key feature of high-quality mathematics instruction. This experimental study investigated the importance of prior knowledge in learning from comparison. Seventh- and 8th-grade students (N = 236) learned to solve equations by comparing…

Chemical structure-based predictive model for the oxidation of trace organic contaminants by sulfate radical.

PubMed

Ye, Tiantian; Wei, Zongsu; Spinney, Richard; Tang, Chong-Jian; Luo, Shuang; Xiao, Ruiyang; Dionysiou, Dionysios D

2017-06-01

Second-order rate constants [Formula: see text] for the reaction of sulfate radical anion (SO 4 •- ) with trace organic contaminants (TrOCs) are of scientific and practical importance for assessing their environmental fate and removal efficiency in water treatment systems. Here, we developed a chemical structure-based model for predicting [Formula: see text] using 32 molecular fragment descriptors, as this type of model provides a quick estimate at low computational cost. The model was constructed using the multiple linear regression (MLR) and artificial neural network (ANN) methods. The MLR method yielded adequate fit for the training set (R training 2 =0.88,n=75) and reasonable predictability for the validation set (R validation 2 =0.62,n=38). In contrast, the ANN method produced a more statistical robustness but rather poor predictability (R training 2 =0.99andR validation 2 =0.42). The reaction mechanisms of SO 4 •- reactivity with TrOCs were elucidated. Our result shows that the coefficients of functional groups reflect their electron donating/withdrawing characters. For example, electron donating groups typically exhibit positive coefficients, indicating enhanced SO 4 •- reactivity. Electron withdrawing groups exhibit negative values, indicating reduced reactivity. With its quick and accurate features, we applied this structure-based model to 55 discrete TrOCs culled from the Contaminant Candidate List 4, and quantitatively compared their removal efficiency with SO 4 •- and OH in the presence of environmental matrices. This high-throughput model helps prioritize TrOCs that are persistent to SO 4 •- based oxidation technologies at the screening level, and provide diagnostics of SO 4 •- reaction mechanisms. Copyright © 2017 Elsevier Ltd. All rights reserved.

The relevance of network micro-structure for neural dynamics.

PubMed

Pernice, Volker; Deger, Moritz; Cardanobile, Stefano; Rotter, Stefan

2013-01-01

The activity of cortical neurons is determined by the input they receive from presynaptic neurons. Many previous studies have investigated how specific aspects of the statistics of the input affect the spike trains of single neurons and neurons in recurrent networks. However, typically very simple random network models are considered in such studies. Here we use a recently developed algorithm to construct networks based on a quasi-fractal probability measure which are much more variable than commonly used network models, and which therefore promise to sample the space of recurrent networks in a more exhaustive fashion than previously possible. We use the generated graphs as the underlying network topology in simulations of networks of integrate-and-fire neurons in an asynchronous and irregular state. Based on an extensive dataset of networks and neuronal simulations we assess statistical relations between features of the network structure and the spiking activity. Our results highlight the strong influence that some details of the network structure have on the activity dynamics of both single neurons and populations, even if some global network parameters are kept fixed. We observe specific and consistent relations between activity characteristics like spike-train irregularity or correlations and network properties, for example the distributions of the numbers of in- and outgoing connections or clustering. Exploiting these relations, we demonstrate that it is possible to estimate structural characteristics of the network from activity data. We also assess higher order correlations of spiking activity in the various networks considered here, and find that their occurrence strongly depends on the network structure. These results provide directions for further theoretical studies on recurrent networks, as well as new ways to interpret spike train recordings from neural circuits.

[Guideline implementation study on asthma: Results of a pragmatic implementation approach].

PubMed

Redaèlli, Marcus; Vollmar, Horst Christian; Simic, Dusan; Maly-Schürer, Cornelia; Löscher, Susanne; Koneczny, Nikolaus

2015-01-01

Knowledge transfer from theory to practice in healthcare systems poses a challenge worldwide. Typical examples include national disease management guidelines. The present study contributes towards improving implementation strategies for an asthma guideline. A guideline implementation strategy was examined in a four-armed, non-randomised, controlled intervention study with an additional control group. The study participants were general practitioners and paediatricians recruited from primary care quality circles. All study participants attended an interactive seminar on the evidence-based recommendations for patients with asthma. In addition, the participants were asked to choose among the following options: no further intervention, additional e-learning, training of their practice nurses, or e-learning and training of their practice nurses. The success of the intervention was measured by questionnaire (and the success rate expressed as a percentage). About one third of all participants (n=313) opted for the combination of an interactive seminar and a training of practice nurses; two third preferred the classic way of continuing medical education with an interactive seminar without a further intervention. Just 10 % of the physicians participated in e-learning. Independently of their choice for continuing medical education, all participants demonstrated an increase in knowledge about asthma and an improvement in the management of asthma. The physicians exhibited an average increase in both categories of about 10 % of the percentage values, compared to an increase of about 28 % among the practice nurses without continuing medical education. The physicians' free choice of the educative modules might be an integral part of successful implementation strategies. However, this will require a change of focus from general continuing medical education packages to a more individualised culture of continuing professional development in Germany. Copyright © 2015. Published by Elsevier GmbH.

FDI World Dental Federation - clinical criteria for the evaluation of direct and indirect restorations. Update and clinical examples.

PubMed

Hickel, Reinhard; Peschke, Arnd; Tyas, Martin; Mjör, Ivar; Bayne, Stephen; Peters, Mathilde; Hiller, Karl-Anton; Randall, Ross; Vanherle, Guido; Heintze, Siegward D

2010-08-01

In 2007, new clinical criteria were approved by the FDI World Dental Federation and simultaneously published in three dental journals. The criteria were categorized into three groups: esthetic parameters (four criteria), functional parameters (six criteria), and biological parameters (six criteria). Each criterion can be expressed with five scores, three for acceptable and two for non-acceptable (one for reparable and one for replacement). The criteria have been used in several clinical studies since 2007, and the resulting experience in their application has led to a requirement to modify some of the criteria and scores. The two major alterations involve staining and approximal contacts. As staining of the margins and the surface have different causes, both phenomena do not appear simultaneously. Thus, staining has been differentiated into marginal staining and surface staining. The approximal contact now appears under the name "approximal anatomic form" as the approximal contour is a specific, often non-esthetic issue that cannot be integrated into the criterion "esthetic anatomical form". In 2008, a web-based training and calibration tool called e-calib (www.e-calib.info) was made available. Clinical investigators and other research workers can train and calibrate themselves interactively by assessing clinical cases of posterior restorations, which are presented as high quality pictures. Currently, about 300 clinical cases are included in the database which is regularly updated. Training for 8 of the 16 clinical criteria is available in the program: "Surface luster"; "Staining (surface, margins)"; "Color match and translucency"; "Esthetic anatomical form"; "Fracture of material and retention"; "Marginal adaptation"; "Recurrence of caries, erosion, abfraction"; and "Tooth integrity (enamel cracks, tooth fractures)". Typical clinical cases are presented for each of these eight criteria and their corresponding five scores.

What can studying musicians tell us about motor control of the hand?

PubMed Central

Watson, Alan H D

2006-01-01

Most standard accounts of human anatomy and physiology are designed to meet the requirements of medical education and therefore consider their subject matter from the standpoint of typical rather than outstanding levels of performance. To understand how high levels of skill are developed and maintained, it is necessary to study elite groups such as professional athletes or musicians. This can lead to the rediscovery of arcane knowledge that has fallen into neglect through a lack of appreciation of its significance. For example, although variability in the muscles and tendons of the hand was well known in the nineteenth and early twentieth centuries, it is through recent studies of musicians that its practical significance has become better appreciated. From even a cursory acquaintance with the training methods of sportsmen and women, dancers and musicians, it is clear that sophisticated motor skills are developed only at the cost of a great deal of time and effort. Over a lifetime of performance, musicians arguably spend more time in skill acquisition than almost any other group and offer a number of unique advantages for the study of motor control. Such intensive training not only modifies cortical maps but may even affect the gross morphology of the central nervous system. There is also evidence that in certain individuals this process can become maladaptive. Recent studies of musicians suggest that intensive training can lead to the appearance of ambiguities in the cortical somatosensory representation of the hand that may be associated with the development of focal dystonia; a condition to which musicians are particularly prone. The realization that changes in cortical maps may underlie dystonia has led to the development of new approaches to its treatment, which may ultimately benefit musicians and non-musicians alike. PMID:16637876

Influence of Sequential vs. Simultaneous Dual-Task Exercise Training on Cognitive Function in Older Adults.

PubMed

Tait, Jamie L; Duckham, Rachel L; Milte, Catherine M; Main, Luana C; Daly, Robin M

2017-01-01

Emerging research indicates that exercise combined with cognitive training may improve cognitive function in older adults. Typically these programs have incorporated sequential training, where exercise and cognitive training are undertaken separately. However, simultaneous or dual-task training, where cognitive and/or motor training are performed simultaneously with exercise, may offer greater benefits. This review summary provides an overview of the effects of combined simultaneous vs. sequential training on cognitive function in older adults. Based on the available evidence, there are inconsistent findings with regard to the cognitive benefits of sequential training in comparison to cognitive or exercise training alone. In contrast, simultaneous training interventions, particularly multimodal exercise programs in combination with secondary tasks regulated by sensory cues, have significantly improved cognition in both healthy older and clinical populations. However, further research is needed to determine the optimal characteristics of a successful simultaneous training program for optimizing cognitive function in older people.

Relational Discrimination by Pigeons in a Go/No-Go Procedure with Compound Stimuli: A Methodological Note

ERIC Educational Resources Information Center

Campos, Heloisa Cursi; Debert, Paula; Barros, Romariz da Silva; McIlvane, William J.

2011-01-01

A go/no-go procedure with compound stimuli typically establishes emergent behavior that parallels in structure and typical outcome that of conventional tests for symmetric, transitive, and equivalence relations in normally capable adults. The present study employed a go/no-go compound stimulus procedure with pigeons. During training, pecks to…

Gamification of Cognitive Assessment and Cognitive Training: A Systematic Review of Applications and Efficacy

PubMed Central

Edwards, Elizabeth A; Lawrence, Natalia S; Coyle, David; Munafò, Marcus R

2016-01-01

Background Cognitive tasks are typically viewed as effortful, frustrating, and repetitive, which often leads to participant disengagement. This, in turn, may negatively impact data quality and/or reduce intervention effects. However, gamification may provide a possible solution. If game design features can be incorporated into cognitive tasks without undermining their scientific value, then data quality, intervention effects, and participant engagement may be improved. Objectives This systematic review aims to explore and evaluate the ways in which gamification has already been used for cognitive training and assessment purposes. We hope to answer 3 questions: (1) Why have researchers opted to use gamification? (2) What domains has gamification been applied in? (3) How successful has gamification been in cognitive research thus far? Methods We systematically searched several Web-based databases, searching the titles, abstracts, and keywords of database entries using the search strategy (gamif* OR game OR games) AND (cognit* OR engag* OR behavi* OR health* OR attention OR motiv*). Searches included papers published in English between January 2007 and October 2015. Results Our review identified 33 relevant studies, covering 31 gamified cognitive tasks used across a range of disorders and cognitive domains. We identified 7 reasons for researchers opting to gamify their cognitive training and testing. We found that working memory and general executive functions were common targets for both gamified assessment and training. Gamified tests were typically validated successfully, although mixed-domain measurement was a problem. Gamified training appears to be highly engaging and does boost participant motivation, but mixed effects of gamification on task performance were reported. Conclusions Heterogeneous study designs and typically small sample sizes highlight the need for further research in both gamified training and testing. Nevertheless, careful application of gamification can provide a way to develop engaging and yet scientifically valid cognitive assessments, and it is likely worthwhile to continue to develop gamified cognitive tasks in the future. PMID:27421244

Gamification of Cognitive Assessment and Cognitive Training: A Systematic Review of Applications and Efficacy.

PubMed

Lumsden, Jim; Edwards, Elizabeth A; Lawrence, Natalia S; Coyle, David; Munafò, Marcus R

2016-07-15

Cognitive tasks are typically viewed as effortful, frustrating, and repetitive, which often leads to participant disengagement. This, in turn, may negatively impact data quality and/or reduce intervention effects. However, gamification may provide a possible solution. If game design features can be incorporated into cognitive tasks without undermining their scientific value, then data quality, intervention effects, and participant engagement may be improved. This systematic review aims to explore and evaluate the ways in which gamification has already been used for cognitive training and assessment purposes. We hope to answer 3 questions: (1) Why have researchers opted to use gamification? (2) What domains has gamification been applied in? (3) How successful has gamification been in cognitive research thus far? We systematically searched several Web-based databases, searching the titles, abstracts, and keywords of database entries using the search strategy (gamif* OR game OR games) AND (cognit* OR engag* OR behavi* OR health* OR attention OR motiv*). Searches included papers published in English between January 2007 and October 2015. Our review identified 33 relevant studies, covering 31 gamified cognitive tasks used across a range of disorders and cognitive domains. We identified 7 reasons for researchers opting to gamify their cognitive training and testing. We found that working memory and general executive functions were common targets for both gamified assessment and training. Gamified tests were typically validated successfully, although mixed-domain measurement was a problem. Gamified training appears to be highly engaging and does boost participant motivation, but mixed effects of gamification on task performance were reported. Heterogeneous study designs and typically small sample sizes highlight the need for further research in both gamified training and testing. Nevertheless, careful application of gamification can provide a way to develop engaging and yet scientifically valid cognitive assessments, and it is likely worthwhile to continue to develop gamified cognitive tasks in the future.

Military Training: DOD Met Annual Reporting Requirements in Its 2016 Sustainable Ranges Report

DTIC Science & Technology

2016-06-01

domain. Examples include, but are not limited to, endangered species and critical habitat, unexploded ordnance and munitions, radio frequency spectrum...security, (4) threatened and endangered and candidate species , (5) demand for electromagnetic spectrum, (6) continued growth in domestic use of unmanned...Management for Endangered Species Affecting Training Ranges. GAO-03-976. Washington, D.C.: September 29, 2003. Military Training: DOD Approach to

Determinants of Salary Growth in Shenzhen, China: An Analysis of Formal Education, On-the-Job Training, and Adult Education with a Three-Level Model.

ERIC Educational Resources Information Center

Xiao, Jin

2002-01-01

Uses hierarchical linear model to estimate the effects of three forms of human capital on employee salary in China: Formal education, employer-provided on-the-job training, and adult education. Finds, for example, that employees' experience in changing production technology and on-the-job training are positively associated with salary increases…

The International Research Training Group on "Brain-Behavior Relationship of Normal and Disturbed Emotions in Schizophrenia and Autism" as an Example of German-American Cooperation in Doctoral Training

ERIC Educational Resources Information Center

Schneider, Frank; Gur, Ruben C.

2008-01-01

The International Research Training Group "Brain-Behavior Relationship of Normal and Disturbed Emotions in Schizophrenia and Autism" (IRTG 1328), funded by the German Research Council (DFG), is a German-American cooperation. Its major aims are interdisciplinary and international scientific cooperation and the support of young scientists…

Creating Diverse Ensemble Classifiers to Reduce Supervision

DTIC Science & Technology

2005-12-01

artificial examples. Quite often training with noise improves network generalization (Bishop, 1995; Raviv & Intrator, 1996). Adding noise to training...full training set, as seen by comparing to the to- tal dataset sizes. Hence, improving on the data utilization of DECORATE is a fairly difficult task...prohibitively expensive, except (perhaps) with an incremen- tal learner such as Naive Bayes. Our AFA framework is significantly more efficient because

Training Consumer Educators: A Curriculum and Program Handbook. A Report on the Experience of the Consumer Law Training Center.

ERIC Educational Resources Information Center

New York Law School, NY. Consumer Law Training Center.

Information is presented on the administration of consumer education programs to train teachers and community group leaders who will be teaching consumer education in their own communities. Suggestions and examples are based on experience in creating and teaching such a program in consumer law in New York City. The first three chapters give…

IMPLEMENTING NONPROFESSIONAL PROGRAMS IN HUMAN SERVICES. MANPOWER TRAINING SERIES.

ERIC Educational Resources Information Center

SCHMAIS, AARON

SPECIFIC PROCESSES FOR UTILIZING NONPROFESSIONAL EMPLOYEES IN HUMAN SERVICES ARE PRESENTED. THE BACKGROUND, CURRENT STATUS, AND PROBLEMS ARE DISCUSSED. THE ELEMENTS CONSIDERED ARE RECRUITMENT, SCREENING AND SELECTION, TRAINING, PLACEMENT, SUPERVISION, UPGRADING, AND EVALUATION. EXAMPLES OF NONPROFESSIONAL POSITIONS INCLUDE THE CASE AIDE IN SOCIAL…

Astronaut training for STS 41-G mission

NASA Technical Reports Server (NTRS)

1984-01-01

Astronauts training for STS 41-G mission. Payload specialist Paul Scully-Power sits in an office near the space shuttle simulator reviewing a diagram. He is wearging a communications head set. At his elbow is an example of food packets to be used aboard the shuttle.

Artificial Intelligence Applications to High-Technology Training.

ERIC Educational Resources Information Center

Dede, Christopher

1987-01-01

Discusses the use of artificial intelligence to improve occupational instruction in complex subjects with high performance goals, such as those required for high-technology jobs. Highlights include intelligent computer assisted instruction, examples in space technology training, intelligent simulation environments, and the need for adult training…

Training for Hospitality.

ERIC Educational Resources Information Center

Herman, Francine A.; Eller, Martha E.

1991-01-01

The labor problems of hotels and restaurants are being addressed with partnership training initiatives. Examples are the Stratford Chef's School in Ontario, the University of Hawaii's Tourism Industry Management Program, and an English-as-a-Second-Language program sponsored by labor and management in New York City hotels. (SK)

Higher-Order Neural Networks Recognize Patterns

NASA Technical Reports Server (NTRS)

Reid, Max B.; Spirkovska, Lilly; Ochoa, Ellen

1996-01-01

Networks of higher order have enhanced capabilities to distinguish between different two-dimensional patterns and to recognize those patterns. Also enhanced capabilities to "learn" patterns to be recognized: "trained" with far fewer examples and, therefore, in less time than necessary to train comparable first-order neural networks.

The New Environmentalist.

ERIC Educational Resources Information Center

Waller, Edmund

1991-01-01

Basic training in the earth sciences, social sciences, and visual arts is discussed as essential for the education and training of government advisers on physical planning matters. Urban planning examples are presented that highlight the ecological factors, social influences, and aesthetic values which need to be considered when dealing with…

Automatic road sign detecion and classification based on support vector machines and HOG descriptos

NASA Astrophysics Data System (ADS)

Adam, A.; Ioannidis, C.

2014-05-01

This paper examines the detection and classification of road signs in color-images acquired by a low cost camera mounted on a moving vehicle. A new method for the detection and classification of road signs is proposed based on color based detection, in order to locate regions of interest. Then, a circular Hough transform is applied to complete detection taking advantage of the shape properties of the road signs. The regions of interest are finally represented using HOG descriptors and are fed into trained Support Vector Machines (SVMs) in order to be recognized. For the training procedure, a database with several training examples depicting Greek road sings has been developed. Many experiments have been conducted and are presented, to measure the efficiency of the proposed methodology especially under adverse weather conditions and poor illumination. For the experiments training datasets consisting of different number of examples were used and the results are presented, along with some possible extensions of this work.

Effects of Low-Volume, High-Intensity Whole-Body Calisthenics on Army ROTC Cadets.

PubMed

Gist, Nicholas H; Freese, Eric C; Ryan, Terence E; Cureton, Kirk J

2015-05-01

Our objective was to determine the effects of high-intensity interval training (HIT) on fitness in Army Reserve Officers' Training Corps cadets. Twenty-six college-aged (20.5 ± 1.7 years) participants completed 4 weeks of exercise training 3 days · wk(-1) consisting of either approximately 60 minutes of typical physical training or HIT whole-body calisthenics involving 4 to 7 sets of 30-second "all out" burpees separated by 4 minutes of active recovery. Several pre- and postintervention fitness variables were compared. We observed no changes across time or differences between groups in aerobic capacity, anaerobic capacity, or Army Physical Fitness Test performance (p > 0.05). However, there was a significant Group × Time interaction (p = 0.015) for skeletal muscle mitochondrial function (Tc: time constant of recovery). For the typical physical training group, we observed improved mitochondrial function (Tc decreased 2.4 ± 4.6 seconds; Cohen's d = -0.51); whereas, mitochondrial function decreased in HIT (Tc increased 2.4 ± 4.6 seconds; d = 0.50). HIT sustained fitness despite the short duration and reduced volume of activity. A program that includes HIT as part of a larger program may be well suited for maintaining fitness in moderately trained armed forces personnel without access to equipment. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.

Explicit and Implicit Second Language Training Differentially Affect the Achievement of Native-like Brain Activation Patterns

PubMed Central

Morgan-Short, Kara; Steinhauer, Karsten; Sanz, Cristina; Ullman, Michael T.

2013-01-01

It is widely believed that adults cannot learn a foreign language in the same way that children learn a first language. However, recent evidence suggests that adult learners of a foreign language can come to rely on native-like language brain mechanisms. Here, we show that the type of language training crucially impacts this outcome. We used an artificial language paradigm to examine longitudinally whether explicit training (that approximates traditional grammar-focused classroom settings) and implicit training (that approximates immersion settings) differentially affect neural (electrophysiological) and behavioral (performance) measures of syntactic processing. Results showed that performance of explicitly and implicitly trained groups did not differ at either low or high proficiency. In contrast, electrophysiological (ERP) measures revealed striking differences between the groups’ neural activity at both proficiency levels in response to syntactic violations. Implicit training yielded an N400 at low proficiency, whereas at high proficiency, it elicited a pattern typical of native speakers: an anterior negativity followed by a P600 accompanied by a late anterior negativity. Explicit training, by contrast, yielded no significant effects at low proficiency and only an anterior positivity followed by a P600 at high proficiency. Although the P600 is reminiscent of native-like processing, this response pattern as a whole is not. Thus, only implicit training led to an electrophysiological signature typical of native speakers. Overall, the results suggest that adult foreign language learners can come to rely on native-like language brain mechanisms, but that the conditions under which the language is learned may be crucial in attaining this goal. PMID:21861686

In Search of Commonalities: Some Linguistic and Rhetorical Features of Business Reports as a Genre

ERIC Educational Resources Information Center

Yeung, Lorrita

2007-01-01

The present study analyzes 22 authentic business reports in an attempt to identify textual features that are typical of business reports as a genre. The analysis shows that there are certain characteristics which distinguish business reports from other related genres such as scientific reports, of which RAs are a typical example. There are also…

Urban Combat Advanced Training Technology Architecture (Architecture de technologie avancee pour l’entrainement au combat urbain)

DTIC Science & Technology

2018-01-01

REPORT TR-MSG-098 Urban Combat Advanced Training Technology Architecture (Architecture de technologie avancée pour l’entraînement au combat urbain...REPORT TR-MSG-098 Urban Combat Advanced Training Technology Architecture (Architecture de technologie avancée pour l’entraînement au combat...3 1-2 1.3 Illustration of the Need for UCATT by Contemporary Example Situations 1-3 1.3.1 RNLA: Connection of NLD Mobile Combat Training Centre to

Effects of Gender Color-Coding on Toddlers' Gender-Typical Toy Play.

PubMed

Wong, Wang I; Hines, Melissa

2015-07-01

Gender color-coding of children's toys may make certain toys more appealing or less appealing to a given gender. We observed toddlers playing with two gender-typical toys (a train, a doll), once in gender-typical colors and once in gender-atypical colors. Assessments occurred twice, at 20-40 months of age and at 26-47 months of age. A Sex × Time × Toy × Color ANOVA showed expected interactions between Sex and Toy and Sex and Color. Boys played more with the train than girls did and girls played more with the doll and with pink toys than boys did. The Sex × Toy × Color interaction was not significant, but, at both time points, boys and girls combined played more with the gender-atypical toy when its color was typical for their sex than when it was not. This effect appeared to be caused largely by boys' preference for, or avoidance of, the doll and by the use of pink. Also, at both time points, gender differences in toy preferences were larger in the gender-typical than in the gender-atypical color condition. At Time 2, these gender differences were present only in the gender-typical color condition. Overall, the results suggest that, once acquired, gender-typical color preferences begin to influence toy preferences, especially those for gender-atypical toys and particularly in boys. They thus could enlarge differences between boys' and girls' toy preferences. Because boys' and girls' toys elicit different activities, removing the gender color-coding of toys could encourage more equal learning opportunities.

75 FR 1816 - Agency Information Collection Activities: Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-13

... requirements, for example, for research centers/institutes, clinical trials, or fellowship/training awards or... research grants. The reporting categories used by the NSF were selected as a starting point for designing a... those formats are better suited to the agency's reporting requirements, for example, for research...

Discovery of a Recursive Principle: An Artificial Grammar Investigation of Human Learning of a Counting Recursion Language

PubMed Central

Cho, Pyeong Whan; Szkudlarek, Emily; Tabor, Whitney

2016-01-01

Learning is typically understood as a process in which the behavior of an organism is progressively shaped until it closely approximates a target form. It is easy to comprehend how a motor skill or a vocabulary can be progressively learned—in each case, one can conceptualize a series of intermediate steps which lead to the formation of a proficient behavior. With grammar, it is more difficult to think in these terms. For example, center embedding recursive structures seem to involve a complex interplay between multiple symbolic rules which have to be in place simultaneously for the system to work at all, so it is not obvious how the mechanism could gradually come into being. Here, we offer empirical evidence from a new artificial language (or “artificial grammar”) learning paradigm, Locus Prediction, that, despite the conceptual conundrum, recursion acquisition occurs gradually, at least for a simple formal language. In particular, we focus on a variant of the simplest recursive language, anbn, and find evidence that (i) participants trained on two levels of structure (essentially ab and aabb) generalize to the next higher level (aaabbb) more readily than participants trained on one level of structure (ab) combined with a filler sentence; nevertheless, they do not generalize immediately; (ii) participants trained up to three levels (ab, aabb, aaabbb) generalize more readily to four levels than participants trained on two levels generalize to three; (iii) when we present the levels in succession, starting with the lower levels and including more and more of the higher levels, participants show evidence of transitioning between the levels gradually, exhibiting intermediate patterns of behavior on which they were not trained; (iv) the intermediate patterns of behavior are associated with perturbations of an attractor in the sense of dynamical systems theory. We argue that all of these behaviors indicate a theory of mental representation in which recursive systems lie on a continuum of grammar systems which are organized so that grammars that produce similar behaviors are near one another, and that people learning a recursive system are navigating progressively through the space of these grammars. PMID:27375543

Discovery of a Recursive Principle: An Artificial Grammar Investigation of Human Learning of a Counting Recursion Language.

PubMed

Cho, Pyeong Whan; Szkudlarek, Emily; Tabor, Whitney

2016-01-01

Learning is typically understood as a process in which the behavior of an organism is progressively shaped until it closely approximates a target form. It is easy to comprehend how a motor skill or a vocabulary can be progressively learned-in each case, one can conceptualize a series of intermediate steps which lead to the formation of a proficient behavior. With grammar, it is more difficult to think in these terms. For example, center embedding recursive structures seem to involve a complex interplay between multiple symbolic rules which have to be in place simultaneously for the system to work at all, so it is not obvious how the mechanism could gradually come into being. Here, we offer empirical evidence from a new artificial language (or "artificial grammar") learning paradigm, Locus Prediction, that, despite the conceptual conundrum, recursion acquisition occurs gradually, at least for a simple formal language. In particular, we focus on a variant of the simplest recursive language, a (n) b (n) , and find evidence that (i) participants trained on two levels of structure (essentially ab and aabb) generalize to the next higher level (aaabbb) more readily than participants trained on one level of structure (ab) combined with a filler sentence; nevertheless, they do not generalize immediately; (ii) participants trained up to three levels (ab, aabb, aaabbb) generalize more readily to four levels than participants trained on two levels generalize to three; (iii) when we present the levels in succession, starting with the lower levels and including more and more of the higher levels, participants show evidence of transitioning between the levels gradually, exhibiting intermediate patterns of behavior on which they were not trained; (iv) the intermediate patterns of behavior are associated with perturbations of an attractor in the sense of dynamical systems theory. We argue that all of these behaviors indicate a theory of mental representation in which recursive systems lie on a continuum of grammar systems which are organized so that grammars that produce similar behaviors are near one another, and that people learning a recursive system are navigating progressively through the space of these grammars.

Academic Linkage and Credentialing. Drug Program Report.

ERIC Educational Resources Information Center

Contee, Jerome A., Ed.

This report describes several examples of successful academic linkages between state training offices and postsecondary institutions that result in enhanced professional development opportunities for drug abuse workers. The role of federal and state governments in drug abuse training is discussed along with several articles that are designed to…

Teaching Plyometric Training to Children

ERIC Educational Resources Information Center

Konukman, Ferman; Jenkins, Andrew; Yilmaz, Ilker; Zorba, Erdal

2008-01-01

This article considers the recent arguments by practitioners, researchers, and families on the risks and effectiveness of plyometric training for children. The authors provide practical guidelines and examples of plyometric exercises for children to promote active and healthy lifestyles as well as the development of athletic achievement. By using…

Closing the Massachusetts Public Training Schools

ERIC Educational Resources Information Center

Behn, Robert D.

1976-01-01

Examines the closing of the Massachusetts public training schools, using it as a successful example of public policy termination. Describes how the barriers to policy termination were overcome and the replacement policy was consolidated, and evaluates the termination tactics and the new policy. Available from Elsevier Scientific Publishing…

Professional Training of Future Teacher in Cross-Cultural Dialogue

ERIC Educational Resources Information Center

Semenog, Olena

2014-01-01

On the example of propaedeutic educational course "Introduction to Slavic Philology" features of future teachers' professional training of cross-cultural dialogue are considered. Among the main objectives of the course, attention is focused on native language and other languages admirer's tolerance education, students' skills formation…

Particle analysis using laser ablation mass spectroscopy

DOEpatents

Parker, Eric P.; Rosenthal, Stephen E.; Trahan, Michael W.; Wagner, John S.

2003-09-09

The present invention provides a method of quickly identifying bioaerosols by class, even if the subject bioaerosol has not been previously encountered. The method begins by collecting laser ablation mass spectra from known particles. The spectra are correlated with the known particles, including the species of particle and the classification (e.g., bacteria). The spectra can then be used to train a neural network, for example using genetic algorithm-based training, to recognize each spectra and to recognize characteristics of the classifications. The spectra can also be used in a multivariate patch algorithm. Laser ablation mass specta from unknown particles can be presented as inputs to the trained neural net for identification as to classification. The description below first describes suitable intelligent algorithms and multivariate patch algorithms, then presents an example of the present invention including results.

Collaborative learning: A next step in the training of peer support providers.

PubMed

Cronise, Rita

2016-09-01

This column explores how peer support provider training is enhanced through collaborative learning. Collaborative learning is an approach that draws upon the "real life" experiences of individual learners and encompasses opportunities to explore varying perspectives and collectively construct solutions that enrich the practice of all participants. This description draws upon published articles and examples of collaborative learning in training and communities of practice of peer support providers. Similar to person-centered practices that enhance the recovery experience of individuals receiving services, collaborative learning enhances the experience of peer support providers as they explore relevant "real world" issues, offer unique contributions, and work together toward improving practice. Three examples of collaborative learning approaches are provided that have resulted in successful collaborative learning opportunities for peer support providers. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

FTDD973: A multimedia knowledge-based system and methodology for operator training and diagnostics

NASA Technical Reports Server (NTRS)

Hekmatpour, Amir; Brown, Gary; Brault, Randy; Bowen, Greg

1993-01-01

FTDD973 (973 Fabricator Training, Documentation, and Diagnostics) is an interactive multimedia knowledge based system and methodology for computer-aided training and certification of operators, as well as tool and process diagnostics in IBM's CMOS SGP fabrication line (building 973). FTDD973 is an example of what can be achieved with modern multimedia workstations. Knowledge-based systems, hypertext, hypergraphics, high resolution images, audio, motion video, and animation are technologies that in synergy can be far more useful than each by itself. FTDD973's modular and object-oriented architecture is also an example of how improvements in software engineering are finally making it possible to combine many software modules into one application. FTDD973 is developed in ExperMedia/2; and OS/2 multimedia expert system shell for domain experts.

An algorithm for generating modular hierarchical neural network classifiers: a step toward larger scale applications

NASA Astrophysics Data System (ADS)

Roverso, Davide

2003-08-01

Many-class learning is the problem of training a classifier to discriminate among a large number of target classes. Together with the problem of dealing with high-dimensional patterns (i.e. a high-dimensional input space), the many class problem (i.e. a high-dimensional output space) is a major obstacle to be faced when scaling-up classifier systems and algorithms from small pilot applications to large full-scale applications. The Autonomous Recursive Task Decomposition (ARTD) algorithm is here proposed as a solution to the problem of many-class learning. Example applications of ARTD to neural classifier training are also presented. In these examples, improvements in training time are shown to range from 4-fold to more than 30-fold in pattern classification tasks of both static and dynamic character.

Designing virtual audiences for fear of public speaking training - an observation study on realistic nonverbal behavior.

PubMed

Poeschl, Sandra; Doering, Nicola

2012-01-01

Virtual Reality technology offers great possibilities for Cognitive Behavioral Therapy of fear of public speaking: Clients can be exposed to virtual fear-triggering stimuli (exposure) and are able to role-play in virtual environments, training social skills to overcome their fear. Usually, prototypical audience behavior (neutral, social and anti-social) serves as stimulus in virtual training sessions, although there is significant lack of theoretical basis on typical audience behavior. The study presented deals with the design of a realistic virtual presentation scenario. An audience (consisting of n=18 men and women) in an undergraduate seminar was observed during three frontal lecture sessions. Behavior frequency of four nonverbal dimensions (eye contact, facial expression, gesture, and posture) was rated by means of a quantitative content analysis. Results show audience behavior patterns which seem to be typical in frontal lecture contexts, like friendly and neutral face expressions. Additionally, combined and even synchronized behavioral patterns between participants who sit next to each other (like turning to the neighbor and start talking) were registered. The gathered data serve as empirical design basis for a virtual audience to be used in virtual training applications that stimulate the experiences of the participants in a realistic manner, thereby improving the experienced presence in the training application.

Human Language Technology: Opportunities and Challenges

DTIC Science & Technology

2005-01-01

because of the connections to and reliance on signal processing. Audio diarization critically includes indexing of speakers [12], since speaker ...to reduce inter- speaker variability in training. Standard techniques include vocal-tract length normalization, adaptation of acoustic models using...maximum likelihood linear regression (MLLR), and speaker -adaptive training based on MLLR. The acoustic models are mixtures of Gaussians, typically with

The effects of climate downscaling technique and observational data set on modeled ecological responses

Treesearch

Afshin Pourmokhtarian; Charles T. Driscoll; John L. Campbell; Katharine Hayhoe; Anne M. K. Stoner

2016-01-01

Assessments of future climate change impacts on ecosystems typically rely on multiple climate model projections, but often utilize only one downscaling approach trained on one set of observations. Here, we explore the extent to which modeled biogeochemical responses to changing climate are affected by the selection of the climate downscaling method and training...

Accounting for Special Revenue Sharing Grants. A Human Resource Management Course Monograph. No. 2 in a Series.

ERIC Educational Resources Information Center

Gunn, Sanford C.

A training course to introduce students to the problems and accounting methods for Comprehensive Employment and Training Act (CETA) programs should consider four major areas. Within these areas certain objectives should be met: (1) to acquire background knowledge on manpower programs and typical fund accounting procedures, (2) to understand the…

Impact of Short-Term Training in Social Cognition in Preschoolers with Externalizing Behavior

ERIC Educational Resources Information Center

Houssa, Marine; Jacobs, Emilie; Nader-Grosbois, Nathalie

2017-01-01

In two experimental and exploratory studies, we wanted to test the differentiated effects on preschoolers with externalizing behavior (EB) of two short-term social information processing (SIP) and Theory of Mind (ToM) training sessions, in comparison with typically developing (TD) preschoolers or with preschoolers with EB whom didn't receive…

Implementing Army Training Programs: An Overview for Managers. Research Report 1382.

ERIC Educational Resources Information Center

Gray, Wayne D.

The place and importance of implementation in the life cycle of Army training programs is frequently misunderstood. Typically, a program's life cycle is thought of as research, development, and use. If implementation is thought of at all, it is regarded as an event, not a process. Many worthwhile programs have failed because the implementation…

Increasing Response Variability of Mand Frames with Script Training and Extinction

ERIC Educational Resources Information Center

Betz, Alison M.; Higbee, Thomas S.; Kelley, Kristen N.; Sellers, Tyra P.; Pollard, Joy S.

2011-01-01

Children with autism often demonstrate less variable behavior than their typically developing peers and those with other cognitive disabilities. A possible reason for lack of response variability emitted by children with autism is that they do not have a variety of response forms in their repertoire. Multiple-exemplar training through the use of…

Machine learning with naturally labeled data for identifying abbreviation definitions.

PubMed

Yeganova, Lana; Comeau, Donald C; Wilbur, W John

2011-06-09

The rapid growth of biomedical literature requires accurate text analysis and text processing tools. Detecting abbreviations and identifying their definitions is an important component of such tools. Most existing approaches for the abbreviation definition identification task employ rule-based methods. While achieving high precision, rule-based methods are limited to the rules defined and fail to capture many uncommon definition patterns. Supervised learning techniques, which offer more flexibility in detecting abbreviation definitions, have also been applied to the problem. However, they require manually labeled training data. In this work, we develop a machine learning algorithm for abbreviation definition identification in text which makes use of what we term naturally labeled data. Positive training examples are naturally occurring potential abbreviation-definition pairs in text. Negative training examples are generated by randomly mixing potential abbreviations with unrelated potential definitions. The machine learner is trained to distinguish between these two sets of examples. Then, the learned feature weights are used to identify the abbreviation full form. This approach does not require manually labeled training data. We evaluate the performance of our algorithm on the Ab3P, BIOADI and Medstract corpora. Our system demonstrated results that compare favourably to the existing Ab3P and BIOADI systems. We achieve an F-measure of 91.36% on Ab3P corpus, and an F-measure of 87.13% on BIOADI corpus which are superior to the results reported by Ab3P and BIOADI systems. Moreover, we outperform these systems in terms of recall, which is one of our goals.

Comparative testing of nondestructive examination techniques for concrete structures

NASA Astrophysics Data System (ADS)

Clayton, Dwight A.; Smith, Cyrus M.

2014-03-01

A multitude of concrete-based structures are typically part of a light water reactor (LWR) plant to provide foundation, support, shielding, and containment functions. Concrete has been used in the construction of nuclear power plants (NPPs) because of three primary properties, its inexpensiveness, its structural strength, and its ability to shield radiation. Examples of concrete structures important to the safety of LWR plants include containment building, spent fuel pool, and cooling towers. Comparative testing of the various NDE concrete measurement techniques requires concrete samples with known material properties, voids, internal microstructure flaws, and reinforcement locations. These samples can be artificially created under laboratory conditions where the various properties can be controlled. Other than NPPs, there are not many applications where critical concrete structures are as thick and reinforced. Therefore, there are not many industries other than the nuclear power plant or power plant industry that are interested in performing NDE on thick and reinforced concrete structures. This leads to the lack of readily available samples of thick and heavily reinforced concrete for performing NDE evaluations, research, and training. The industry that typically performs the most NDE on concrete structures is the bridge and roadway industry. While bridge and roadway structures are thinner and less reinforced, they have a good base of NDE research to support their field NDE programs to detect, identify, and repair concrete failures. This paper will summarize the initial comparative testing of two concrete samples with an emphasis on how these techniques could perform on NPP concrete structures.

"Social, technological, and research responses to potential erosion and sediment disasters in the western United States, with examples from California"

Treesearch

R. M. Rice

1985-01-01

Synopsis - Examples from California are used to illustrate typical responses to erosion and debris flow disasters the United States. Political institutions leave virtually all responsibility for disaster prevention to the lowest levels of government or to individuals. Three circumstances in which disasters occur are discussed: urbanized debris cones, urbanized unstable...

Social, technological, and research responses to potential erosion and sediment disasters in the western United States, with examples from California

Treesearch

R. M. Rice

1985-01-01

Examples from California are used to illustrate typical responses to erosion and debris flow disasters in the United States. Political institutions leave virtually all responsibility for disaster prevention to the lowest levels of government or to individuals. Three circumstances in which disasters occur are discussed: urbanized debris cones, urbanized unstable...

Innovations in Basic Flight Training for the Indonesian Air Force

DTIC Science & Technology

1990-12-01

microeconomic theory that could approximate the optimum mix of training hours between an aircraft and simulator, and therefore improve cost effectiveness...The microeconomic theory being used is normally employed when showing production with two variable inputs. An example of variable inputs would be labor...NAS Corpus Christi, Texas, Aerodynamics of the T-34C, 1989. 26. Naval Air Training Command, NAS Corpus Christi, Texas, Meteorological Theory Workbook

Development of Standards in Vocational Education and Training: Specification, Experience, Examples, July 1999 (Reprinted with Updates 2000). Manual. Volume 2. Qualifications and Training Methods.

ERIC Educational Resources Information Center

Laur-Ernst, Ute; Kunzmann, Margaret; Hoene, Bernd

An extension of the 1999 Manual, "Development of Standards in Vocational Education and Training," this second volume presents the key terms and attitudes, reports on experience and knowledge in standards development collected in recent years on the basis of questions raised during the process, and suggests how to deal with the problems…

Training Strategies for the M1 Abrams Tank Driver Trainer

DTIC Science & Technology

1984-10-01

positive reinforcement. The automatic freeze after incorrect performance, for example, may even be aversive to the trainee. The TECEP learning algorithms ...Aagard, J.A. and Braby, R. Learning Guidelines and Algorithms for Types of Training Objectives. (TAEG Report No. 23). Orlando, FL: Training Analysis and...checklist ite. flake it identical to operational setting. () Cresponde to the g;uideli ne number Tor thiss oast. Figure B-I. Learning Algorithm for

Can visual arts training improve physician performance?

PubMed

Katz, Joel T; Khoshbin, Shahram

2014-01-01

Clinical educators use medical humanities as a means to improve patient care by training more self-aware, thoughtful, and collaborative physicians. We present three examples of integrating fine arts - a subset of medical humanities - into the preclinical and clinical training as models that can be adapted to other medical environments to address a wide variety of perceived deficiencies. This novel teaching method has promise to improve physician skills, but requires further validation.

Supply and Financial Systems Training for the Line Officer Afloat.

DTIC Science & Technology

1977-09-01

Structural training is a most efficient and recognized method to obtain basic knowledge of shipboard life . The line officer’s first contact with...resources in order to support the ship’s mission. For example, when he signs requests for leave, early liberty, advancement , or any other request...Naval War College, Naval Postgraduate School, and Department Head School (formerly Destroyer School). These provide advanced training in a great

75 FR 64507 - Taking and Importing Marine Mammals; Military Training Activities Conducted Within the Gulf of...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-19

... the typical ordnance that may be used in a SINKEX, which may include missiles, bombs, 5'' gunfire, and...)--During an air-to-surface BOMBEX, maritime patrol aircraft (MPA) or F/A-18 deliver free-fall bombs against... ft (914 m) while adhering to designated ingress and egress routes. Typical bomb release altitude is...

Effectiveness of Siblings-Delivered iPad Game Activities in Teaching Social Interaction Skills to Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Özen, Arzu

2015-01-01

In this study, the effectiveness of a sibling training package offered for teaching social interaction skills that are used by typically developing children while playing iPad game activities with their siblings who have autism spectrum disorders (ASD) is investigated. Three children with ASD and their typically developing siblings participated in…

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

Sklenka, L.; Rataj, J.; Frybort, J.

Research reactors play an important role in providing key personnel of nuclear power plants a hands-on experience from operation and experiments at nuclear facilities. Training of NPP (Nuclear Power Plant) staff is usually deeply theoretical with an extensive utilisation of simulators and computer visualisation. But a direct sensing of the reactor response to various actions can only improve the personnel awareness of important aspects of reactor operation. Training Reactor VR-1 and its utilization for training of NPP operators and other professionals from Czech Republic and Slovakia is described. Typical experimental exercises and good practices in organization of a training programmore » are demonstrated. (authors)« less

Examples of Cross-Cultural Problems Encountered by Americans Working Overseas; An Instructor's Handbook.

ERIC Educational Resources Information Center

Foster, Robert J.

Intended mainly as a source book for instructors in area training programs, this handbook contains summary accounts of events illustrating problems frequently met by Americans working overseas, especially those providing technical assistance in developing nations. Examples are drawn from case studies, interviews, anthropology texts, and other…

Environmental Assessment, Change in C-17 Flight Training Operations at Grant County International Airport, Washington by Joint Base Lewis-McChord

DTIC Science & Technology

2011-10-01

ground (subsurface) deposits. Examples of prehistoric archaeological resources include village sites, campsites, lithic scatters, burials, hearths ...or hearth features), processing sites, caves and rock shelters, and petroglyph and pictograph sites. Examples of historic archaeological resources

78 FR 28184 - Inviting Applications for Rural Business Opportunity Grants

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-14

... long-term planning that integrates targeted investments in workforce training, infrastructure, research.... Examples of acceptable documentation include: A signed letter from the source of funds stating the amount... CFR 4284.639(d)(2)). You must describe a structural change (for example, the loss of major employer or...

Chunk Alignment for Corpus-Based Machine Translation

ERIC Educational Resources Information Center

Kim, Jae Dong

2011-01-01

Since sub-sentential alignment is critically important to the translation quality of an Example-Based Machine Translation (EBMT) system, which operates by finding and combining phrase-level matches against the training examples, we developed a new alignment algorithm for the purpose of improving the EBMT system's performance. This new…

Training for teamwork through in situ simulations

PubMed Central

Sorensen, Asta; Poehlman, Jon; Bollenbacher, John; Riggan, Scott; Davis, Stan; Miller, Kristi; Ivester, Thomas; Kahwati, Leila

2015-01-01

In situ simulations allow healthcare teams to practice teamwork and communication as well as clinical management skills in a team's usual work setting with typically available resources and equipment. The purpose of this video is to demonstrate how to plan and conduct in situ simulation training sessions, with particular emphasis on how such training can be used to improve communication and teamwork. The video features an in situ simulation conducted at a labour and delivery unit in response to postpartum hemorrhage. PMID:26294962

When exceptions prove the rule: how extremity of deviance determines the impact of deviant examples on stereotypes.

PubMed

Kunda, Z; Oleson, K C

1997-05-01

The authors examined how the extent to which counterstereotypic individuals deviate from perceivers' stereotypes affects their impact on these stereotypes and found that extremely deviant group members provoke less stereotype assimilation than do moderately deviant ones. Extremely deviant examples can even provoke boomerang effects, that is, enhance the very stereotype that they violate. When participants whose prior stereotype were moderate or extreme were exposed to moderately or extremely deviant examples, the deviant examples' impact on stereotypes depended both on their extremity and on the extremity of perceivers' prior stereotypes. Boomerang effects were obtained only for extreme-stereotype participants exposed to extremely deviant examples and were mediated by perceptions of the typicality of the deviant examples. Open-ended explanations revealed that the atypicality of extremely deviant examples was used as grounds for dismissing them.

Parent Skill Training (Trainer Modules). LEAP Outreach Project.

ERIC Educational Resources Information Center

Colorado Univ., Denver. Center for Collaborative Educational Leadership.

This training manual, designed for teaching parents of young children with autism, contains nine modules on behavior modification techniques. The modules address: (1) the ABC's of behavior, which discusses discriminating among words that describe feelings and words that describe behaviors, identifying examples of learned behavior, and defining and…

Classroom Staff Training (Self-Study Packet). LEAP Outreach Project.

ERIC Educational Resources Information Center

Colorado Univ., Denver. Center for Collaborative Educational Leadership.

This self-study training manual for teachers of young children with autism contains nine modules on behavior modification techniques. The modules address: (1) the ABC's of behavior, which discusses discriminating among words that describe feelings and words that describe behaviors, identification of examples of learned behavior, and defining and…

Parent Skill Training (Self-Study Modules). LEAP Outreach Project.

ERIC Educational Resources Information Center

Colorado Univ., Denver. Center for Collaborative Educational Leadership.

This self-study training manual for parents of children with autism contains nine modules on behavior modification techniques. The modules address: (1) the ABC's of behavior, which discusses discriminating among words that describe feelings and words that describe behaviors, identifying examples of learned behavior, and defining and identifying…

Just What Do We Mean by "Investment"?

ERIC Educational Resources Information Center

Carr, Clay

1989-01-01

Discusses the need to develop ways of measuring the cost effectiveness of investment in employee training. Examples of employees with various training needs and their possible impact on the organization are presented, the replacement of humans with machine intelligence is discussed, and the application of performance technology is suggested. (LRW)

Crop Farm Employee. Agricultural Cooperative Training. Vocational Agriculture. Revised.

ERIC Educational Resources Information Center

Boyd, Chester; And Others

Designed for students enrolled in the Vocational Agricultural Cooperative Part-Time Training Program, this course of study contains 13 units for crop farm employees. Units include (examples of unit topics in parentheses): introduction (opportunities in farming, farming as a science, and farming in the United States), farm records (keeping farm…

Performance Scripts Creation: Processes and Applications

ERIC Educational Resources Information Center

Lyons, Paul

2006-01-01

Purpose: Seeks to explain some of the dynamics of scripts creation as used in training, to offer some theoretical underpinning regarding the influence of script creation on behavior and performance, and to offer some examples of how script creation is applied in training activities. Design/methodology/approach: The paper explains in detail and…

Agricultural Machinery - Equipment. Agricultural Cooperative Training. Vocational Agricluture. Revised.

ERIC Educational Resources Information Center

Sandlin, David, Comp.; And Others

Designed for students enrolled in the Agricultural Cooperative Part-Time Training Program, this course of study contains 12 units on agricultural machinery mechanics. Units include (examples of unit topics in parentheses): introduction (agricultural mechanics as an occupation; safety--shop and equipment; use of holding devices, jacks, lifts, and…

Social Skills Training for Children with Asperger Syndrome and High-Functioning Autism

ERIC Educational Resources Information Center

White, Susan Williams

2011-01-01

This practical, research-based guide provides a wealth of tools and strategies for implementing social skills training in school or clinical settings. Numerous case examples illustrate common social difficulties experienced by children with Asperger syndrome and high-functioning autism; the impact on peer relationships, school performance, and…

Training Teachers to Teach Probability

ERIC Educational Resources Information Center

Batanero, Carmen; Godino, Juan D.; Roa, Rafael

2004-01-01

In this paper we analyze the reasons why the teaching of probability is difficult for mathematics teachers, describe the contents needed in the didactical preparation of teachers to teach probability and analyze some examples of activities to carry out this training. These activities take into account the experience at the University of Granada,…

A Review of Models and Procedures for Synthetic Validation for Entry-Level Army Jobs

DTIC Science & Technology

1988-12-01

demonstrated that training judges to avoid various types of rating errors is successful. Ivancevich (1979), for example, found that extensive discussion of...judges. Personnel Psychology, 39, 337-344. Ivancevich , J. M. (1979). Longitudinal study of the effects of rater training on psychometric error in

The Complete Guide to Training Delivery: A Competency-Based Approach.

ERIC Educational Resources Information Center

King, Stephen B.; King, Marsha; Rothwell, William J.

This guide focuses on 14 instructor competencies identified by the International Board of Standards for Training, Performance, and Instruction. It provides examples, job aids, worksheets, case studies, and sample dialogs and contains actual experiences and critical incidents faced by trainers who participated in the survey study. Strategies to…

Designing Simulations for Athletic Training Students through Interprofessional Teaching Collaboration

ERIC Educational Resources Information Center

Tivener, Kristin Ann; Gloe, Donna Sue

2015-01-01

Context: While multidisciplinary team approaches to education and practice have been promoted for decades, literature on collaborative efforts in athletic training and nursing remains sparse. Objective: The goal of this article is to provide an example of an interprofessional teaching collaboration in which a simulation scenario was developed…

Staff Training Tips: Focusing on Early Childhood Education and Services.

ERIC Educational Resources Information Center

2003

This document collects 15 brief guides to staff training in inclusive early childhood education settings. Guides offer examples of successful programs, research findings, and practical tips. Titles are: (1) "Giving Families Better Access to Early Intervention Services"; (2) "Creating Integrated Classrooms that Work"; (3) "Seamless Transition…

Virginia Telemedia Systems for Administrative, Training and Educational Uses.

ERIC Educational Resources Information Center

Boland, Dorothy S.

This report describes the telecommunications systems currently available in Virginia to deliver educational materials and conduct administrative meetings and training in a cost effective manner. Examples are provided of how state agencies and institutions in Virginia are using each of the technologies and the future potential of each system is…

In-vivo job development training among peer providers of homeless veterans supported employment programs.

PubMed

Gao, Ni; Dolce, Joni; Rio, John; Heitzmann, Carma; Loving, Samantha

2016-06-01

This column describes a goal-oriented, time-limited in vivo coaching/training approach for skills building among peer veterans vocational rehabilitation specialists of the Homeless Veteran Supported Employment Program (HVSEP). Planning, implementing, and evaluating the training approach for peer providers was intended, ultimately, to support veterans in their goal of returning to community competitive employment. The description draws from the training experience that aimed to improve the ability of peer providers to increase both rates of employment and wages of the homeless veterans using their services. Training peers using an in vivo training approach provided a unique opportunity for the veterans to improve their job development skills with a focus to support employment outcomes for the service users. Peers who received training also expressed that learning skills through an in vivo training approach was more engaging than typical classroom trainings. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Spacecraft high-voltage power supply construction

NASA Technical Reports Server (NTRS)

Sutton, J. F.; Stern, J. E.

1975-01-01

The design techniques, circuit components, fabrication techniques, and past experience used in successful high-voltage power supplies for spacecraft flight systems are described. A discussion of the basic physics of electrical discharges in gases is included and a design rationale for the prevention of electrical discharges is provided. Also included are typical examples of proven spacecraft high-voltage power supplies with typical specifications for design, fabrication, and testing.

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.

Characterizing the graded structure of false killer whale (Pseudorca crassidens) vocalizations.

PubMed

Murray, S O; Mercado, E; Roitblat, H L

1998-09-01

The vocalizations from two, captive false killer whales (Pseudorca crassidens) were analyzed. The structure of the vocalizations was best modeled as lying along a continuum with trains of discrete, exponentially damped sinusoidal pulses at one end and continuous sinusoidal signals at the other end. Pulse trains were graded as a function of the interval between pulses where the minimum interval between pulses could be zero milliseconds. The transition from a pulse train with no inter-pulse interval to a whistle could be modeled by gradations in the degree of damping. There were many examples of vocalizations that were gradually modulated from pulse trains to whistles. There were also vocalizations that showed rapid shifts in signal type--for example, switching immediately from a whistle to a pulse train. These data have implications when considering both the possible function(s) of the vocalizations and the potential sound production mechanism(s). A short-time duty cycle measure was developed to characterize the graded structure of the vocalizations. A random sample of 500 vocalizations was characterized by combining the duty cycle measure with peak frequency measurements. The analysis method proved to be an effective metric for describing the graded structure of false killer whale vocalizations.

Measurement of functional capacity requirements of police officers to aid in development of an occupation-specific cardiac rehabilitation training program.

PubMed

Adams, Jenny; Schneider, Jonna; Hubbard, Matthew; McCullough-Shock, Tiffany; Cheng, Dunlei; Simms, Kay; Hartman, Julie; Hinton, Paul; Strauss, Danielle

2010-01-01

This study was designed to measure the functional capacity of healthy subjects during strenuous simulated police tasks, with the goal of developing occupation-specific training for cardiac rehabilitation of police officers. A calibrated metabolic instrument and an oxygen consumption data collection mask were used to measure the oxygen consumption and heart rates of 30 Dallas Police Academy officers and cadets as they completed an 8-event obstacle course that simulated chasing, subduing, and handcuffing a suspect. Standard target heart rates (85% of age-predicted maximum heart rate, or 0.85 x [220 - age]) and metabolic equivalents (METs) were calculated; a matched-sample t test based on differences between target and achieved heart rate and MET level was used for statistical analysis. Peak heart rates during the obstacle course simulation were significantly higher than the standard target heart rates (those at which treadmill stress tests in physicians' offices are typically stopped) (t(29) = 12.81, P < 0.001) and significantly higher than the suggested maximum of 150 beats/min during cardiac rehabilitation training (t(29) = 17.84, P < 0.001). Peak MET levels during the obstacle course simulation were also significantly higher than the goal level (8 METs) that patients typically achieve in a cardiac rehabilitation program (t(29) = 14.73, P < 0.001). We conclude that police work requires a functional capacity greater than that typically attained in traditional cardiac rehabilitation programs. Rehabilitation professionals should consider performing maximal stress tests and increasing the intensity of cardiac rehabilitation workouts to effectively train police officers who have had a cardiac event.

smwrData—An R package of example hydrologic data, version 1.1.1

USGS Publications Warehouse

Lorenz, David L.

2015-11-06

A collection of 24 datasets, including streamflow, well characteristics, groundwater elevations, and discrete water-quality concentrations, is provided to produce a consistent set of example data to demonstrate typical data manipulations or statistical analysis of hydrologic data. These example data are provided in an R package called smwrData. The data in the package have been collected by the U.S. Geological Survey or published in its reports, for example Helsel and Hirsch (2002). The R package provides a convenient mechanism for distributing the data to users of R within the U.S. Geological Survey and other users in the R community.

Qualitative research: a review of methods with use of examples from the total knee replacement literature.

PubMed

Beaton, Dorcas E; Clark, Jocalyn P

2009-05-01

Qualitative research is a useful approach to explore perplexing or complicated clinical situations. Since 1996, at least fifteen qualitative studies in the area of total knee replacement alone were found. Qualitative studies overcome the limits of quantitative work because they can explicate deeper meaning and complexity associated with questions such as why patients decline joint replacement surgery, why they do not adhere to pain medication and exercise regimens, how they manage in the postoperative period, and why providers do not always provide evidence-based care. In this paper, we review the role of qualitative methods in orthopaedic research, using knee osteoarthritis as an illustrative example. Qualitative research questions tend to be inductive, and the stance of the investigator is relevant and explicitly acknowledged. Qualitative methodologies include grounded theory, phenomenology, and ethnography and involve gathering opinions and text from individuals or focus groups. The methods are rigorous and take training and time to apply. Analysis of the textual data typically proceeds with the identification, coding, and categorization of patterns in the data for the purpose of generating concepts from within the data. With use of analytic techniques, researchers strive to explain the findings; questions are asked to tease out different levels of meaning, identify new concepts and themes, and permit a deeper interpretation and understanding. Orthopaedic practitioners should consider the use of qualitative research as a tool for exploring the meaning and complexities behind some of the perplexing phenomena that they observe in research findings and clinical practice.

Using Simplistic Shape/Surface Models to Predict Brightness in Estimation Filters

NASA Astrophysics Data System (ADS)

Wetterer, C.; Sheppard, D.; Hunt, B.

The prerequisite for using brightness (radiometric flux intensity) measurements in an estimation filter is to have a measurement function that accurately predicts a space objects brightness for variations in the parameters of interest. These parameters include changes in attitude and articulations of particular components (e.g. solar panel east-west offsets to direct sun-tracking). Typically, shape models and bidirectional reflectance distribution functions are combined to provide this forward light curve modeling capability. To achieve precise orbit predictions with the inclusion of shape/surface dependent forces such as radiation pressure, relatively complex and sophisticated modeling is required. Unfortunately, increasing the complexity of the models makes it difficult to estimate all those parameters simultaneously because changes in light curve features can now be explained by variations in a number of different properties. The classic example of this is the connection between the albedo and the area of a surface. If, however, the desire is to extract information about a single and specific parameter or feature from the light curve, a simple shape/surface model could be used. This paper details an example of this where a complex model is used to create simulated light curves, and then a simple model is used in an estimation filter to extract out a particular feature of interest. In order for this to be successful, however, the simple model must be first constructed using training data where the feature of interest is known or at least known to be constant.

Generating Ground Reference Data for a Global Impervious Surface Survey

NASA Technical Reports Server (NTRS)

Tilton, James C.; deColstoun, Eric Brown; Wolfe, Robert E.; Tan, Bin; Huang, Chengquan

2012-01-01

We are engaged in a project to produce a 30m impervious cover data set of the entire Earth for the years 2000 and 2010 based on the Landsat Global Land Survey (GLS) data set. The GLS data from Landsat provide an unprecedented opportunity to map global urbanization at this resolution for the first time, with unprecedented detail and accuracy. Moreover, the spatial resolution of Landsat is absolutely essential to accurately resolve urban targets such as buildings, roads and parking lots. Finally, with GLS data available for the 1975, 1990, 2000, and 2005 time periods, and soon for the 2010 period, the land cover/use changes due to urbanization can now be quantified at this spatial scale as well. Our approach works across spatial scales using very high spatial resolution commercial satellite data to both produce and evaluate continental scale products at the 30m spatial resolution of Landsat data. We are developing continental scale training data at 1m or so resolution and aggregating these to 30m for training a regression tree algorithm. Because the quality of the input training data are critical, we have developed an interactive software tool, called HSegLearn, to facilitate the photo-interpretation of high resolution imagery data, such as Quickbird or Ikonos data, into an impervious versus non-impervious map. Previous work has shown that photo-interpretation of high resolution data at 1 meter resolution will generate an accurate 30m resolution ground reference when coarsened to that resolution. Since this process can be very time consuming when using standard clustering classification algorithms, we are looking at image segmentation as a potential avenue to not only improve the training process but also provide a semi-automated approach for generating the ground reference data. HSegLearn takes as its input a hierarchical set of image segmentations produced by the HSeg image segmentation program [1, 2]. HSegLearn lets an analyst specify pixel locations as being either positive or negative examples, and displays a classification of the study area based on these examples. For our study, the positive examples are examples of impervious surfaces and negative examples are examples of non-impervious surfaces. HSegLearn searches the hierarchical segmentation from HSeg for the coarsest level of segmentation at which selected positive example locations do not conflict with negative example locations and labels the image accordingly. The negative example regions are always defined at the finest level of segmentation detail. The resulting classification map can be then further edited at a region object level using the previously developed HSegViewer tool [3]. After providing an overview of the HSeg image segmentation program, we provide a detailed description of the HSegLearn software tool. We then give examples of using HSegLearn to generate ground reference data and conclude with comments on the effectiveness of the HSegLearn tool.

Using computer graphics to enhance astronaut and systems safety

NASA Technical Reports Server (NTRS)

Brown, J. W.

1985-01-01

Computer graphics is being employed at the NASA Johnson Space Center as a tool to perform rapid, efficient and economical analyses for man-machine integration, flight operations development and systems engineering. The Operator Station Design System (OSDS), a computer-based facility featuring a highly flexible and versatile interactive software package, PLAID, is described. This unique evaluation tool, with its expanding data base of Space Shuttle elements, various payloads, experiments, crew equipment and man models, supports a multitude of technical evaluations, including spacecraft and workstation layout, definition of astronaut visual access, flight techniques development, cargo integration and crew training. As OSDS is being applied to the Space Shuttle, Orbiter payloads (including the European Space Agency's Spacelab) and future space vehicles and stations, astronaut and systems safety are being enhanced. Typical OSDS examples are presented. By performing physical and operational evaluations during early conceptual phases. supporting systems verification for flight readiness, and applying its capabilities to real-time mission support, the OSDS provides the wherewithal to satisfy a growing need of the current and future space programs for efficient, economical analyses.

Vision, Identity, and Career in the Clinical and Translational Sciences: Building upon the Formative Years.

PubMed

Manson, Spero M; Martinez, Dominic F; Buchwald, Dedra S; Rubio, Doris M; Moss, Marc

2015-10-01

This paper is the second in a five-part series on the clinical and translational science educational pipeline. It focuses on the role that Clinical and Translational Science Award (CTSA) programs can play in supporting science, technology, engineering, and math (STEM) education in primary and secondary schools, as well as in facilitating these interests during transition to undergraduate training. Special emphasis should be placed on helping to form and sustain an identity as a scientist, and on instilling the persistence necessary to overcome numerous barriers to its actualization. CTSAs can contribute to cementing this sense of self by facilitating peer support, mentorship, and family involvement that will reinforce early educational decisions leading to clinical and translational science research careers. Meanwhile, the interests, skills, and motivation induced by participation in STEM programs must be sustained in transition to the next level in the educational pipeline, typically undergraduate study. Examples of CTSA collaborations with local schools, businesses, interest groups, and communities at large illustrate the emerging possibilities and promising directions with respect to each of these challenges. © 2015 Wiley Periodicals, Inc.

Modulation of vascular function by diet and exercise.

PubMed

Jennings, G L; Chin-Dusting, J P; Kingwell, B A; Dart, A M; Cameron, J; Esler, M; Lewis, T V

1997-01-01

Clinical research is conducted in free living individuals who are always subject to the influences on vascular function and the major cardiovascular regulators of their lifestyle. The purpose of this paper is to review some lifestyle influences on cardiovascular function, particularly the sympathetic nervous system and endothelially mediated vasodilatation. There are highly differentiated sympathetic responses to feeding, and to acute exercise. Over a longer period obesity has a typical pattern of sympathetic activity. Reduced dietary salt intake elicits profound localised increases in sympathetic activity to the kidney. Marine oil supplementation attenuates the sympathetic responses to psychological stress and improves endothelially mediated vasodilatation in hypercholesterolaemics. Exercise training reduced total noradrenaline spillover, the major beds affected being the renal and skeletal muscle. These examples illustrate the dynamic nature of vascular dilatation and that, like the sympathetic nervous system, it is modulated by short, medium and long term influences. In both cases there is regulation both at a local and systemic level. Habitual, and recent, lifestyle can exert important cardiovascular effects which must be taken into account in clinical and epidemiological research.

Features extraction algorithm about typical railway perimeter intrusion event

NASA Astrophysics Data System (ADS)

Zhou, Jieyun; Wang, Chaodong; Liu, Lihai

2017-10-01

Research purposes: Optical fiber vibration sensing system has been widely used in the oil, gas, frontier defence, prison and power industries. But, there are few reports about the application in railway defence. That is because the surrounding environment is complicated and there are many challenges to be overcomed in the optical fiber vibration sensing system application. For example, how to eliminate the effects of vibration caused by train, the natural environments such as wind and rain and how to identify and classify the intrusion events. In order to solve these problems, the feature signals of these events should be extracted firstly. Research conclusions: (1) In optical fiber vibration sensing system based on Sagnac interferometer, the peak-to-peak value, peak-to-average ratio, standard deviation, zero-crossing rate, short-term energy and kurtosis may serve as feature signals. (2) The feature signals of resting state, climbing concrete fence, breaking barbed wire, knocking concrete fence and rainstorm have been extracted, which shows significant difference among each other. (3) The research conclusions can be used in the identification and classification of intrusion events.

Overshadowing: a silver lining to a dark cloud in horse training.

PubMed

McLean, Andrew N

2008-01-01

Overshadowing is a process known in behavioral science that occurs when two stimuli of different strengths are applied simultaneously to a nonhuman animal. Typically, the stronger stimulus overshadows the weaker one, resulting in attenuation of the weaker stimulus. This phenomenon explains ways in which the decreased responsiveness and consequent conflict behaviors (and possibly learned helplessness and wastage) in some performance horses can result from the application of two concurrent aversive stimuli. Despite some adverse consequences in the context of ridden horses, overshadowing can have serendipitous benefits because it offers an efficient method of desensitization for certain stimuli that are sometimes highly aversive: the saddle/girth pressure, clippers, aerosols, and needles. Desensitization with concurrent overshadowing appears to be comparatively rapid, particularly with highly aversive stimuli, possibly because attentional mechanisms are diverted to the more salient stimulus. It is important to note that, following the overshadowing procedure, the effects appear to be retained when assessed on subsequent days. Using 4 examples, this article presents a preliminary exploration of the beneficial use of a poorly understood, underutilized--yet promising--phenomenon that warrants further investigation.

Vision, Identity, and Career in the Clinical and Translational Sciences: Building upon the Formative Years

PubMed Central

Martinez, Dominic F.; Buchwald, Dedra S.; Rubio, Doris M.; Moss, Marc

2015-01-01

Abstract This paper is the second in a five‐part series on the clinical and translational science educational pipeline. It focuses on the role that Clinical and Translational Science Award (CTSA) programs can play in supporting science, technology, engineering, and math (STEM) education in primary and secondary schools, as well as in facilitating these interests during transition to undergraduate training. Special emphasis should be placed on helping to form and sustain an identity as a scientist, and on instilling the persistence necessary to overcome numerous barriers to its actualization. CTSAs can contribute to cementing this sense of self by facilitating peer support, mentorship, and family involvement that will reinforce early educational decisions leading to clinical and translational science research careers. Meanwhile, the interests, skills, and motivation induced by participation in STEM programs must be sustained in transition to the next level in the educational pipeline, typically undergraduate study. Examples of CTSA collaborations with local schools, businesses, interest groups, and communities at large illustrate the emerging possibilities and promising directions with respect to each of these challenges. PMID:26271774

[Ergonomics and productivity: an example applied to a manufacturing industry].

PubMed

Battevi, Natale; Vitelli, Nora

2013-01-01

The survival of manufacturing in the western world also depends on the ability to increase productivity. To achieve this goal, it is necessary to recover the efficiency of all workers suffering from upper limb biomechanical overload disease. Ergonomic methods can be a valuable tool in solving this apparent conflict: operatives'productivity and health. After carrying out an ergonomic education and training programme for all company employees and risk assessment for upper limb biomechanical overload through the OCRA checklist method, a programme of improvements on a production line was planned and tested, mainly based on international and European standards. Within approximately 2 years, thanks to changes in workplace layout and organization, a significant reduction of 22.7% in risk level was achieved and, at the same time, a 16% increase in productivity. An ergonomic approach based on global, interdisciplinary and participatory principles in the case considered showed that it is possible to match increased productivity with decreased risk. In this specific case application of ergonomic principles during product design was rather poor, which is typical of companies working for third party customers.

Design of a Fuel Processor System for Generating Hydrogen for Automotive Applications

ERIC Educational Resources Information Center

Kolavennu, Panini K.; Telotte, John C.; Palanki, Srinivas

2006-01-01

The objective of this paper is to design a train of tubular reactors that use a methane feed to produce hydrogen of the desired purity so that it can be utilized by a fuel cell for automotive applications. Reaction engineering principles, which are typically covered at the undergraduate level, are utilized to design this reactor train. It is shown…

How Often and for What Purposes Apprentices Seek Help in Workplaces: A Mobile Technology-Assisted Study

ERIC Educational Resources Information Center

Gurtner, Jean-Luc; Cattaneo, Alberto; Motta, Elisa; Mauroux, Laetitia

2011-01-01

In the "dual" system of vocational training, working in company represents the major part of training. At the workplace, apprentices are expected to acquire the typical skills of their profession but, at the same time, to contribute to the production of the company. For this reason apprentices are expected to carry out activities on…

A Simplified Method of Identifying the Trained Retinal Locus for Training in Eccentric Viewing

ERIC Educational Resources Information Center

Vukicevic, Meri; Le, Anh; Baglin, James

2012-01-01

In the typical human visual system, the macula allows for high visual resolution. Damage to this area from diseases, such as age-related macular degeneration (AMD), causes the loss of central vision in the form of a central scotoma. Since no treatment is available to reverse AMD, providing low vision rehabilitation to compensate for the loss of…

Fort Belvoir’s Engineer Replacement Training Center

DTIC Science & Technology

2011-12-01

investing in permanent buildings of brick and tile. Makers of concrete and cinder blocks, cement siding, structural steel, and asbestos sheeting...in 1917. Hundreds of temporary wooden buildings and other structures , lining a central parade/training ground, were quickly built at a new...typical barracks building was considered significant because of the new technologies employed, including the standardization of plans, prefabrication of

A Simple Introduction to Physical Health Impairments: A Series for Caregivers of Infants and Toddlers. Model of Interdisciplinary Training for Children with Handicaps (MITCH).

ERIC Educational Resources Information Center

Monroe County School District, Key West, FL.

Intended for use in Florida training programs for caregivers of infants and toddlers with disabilities, this booklet describes some of the more common physical and health impairments that can affect young children. For each disability, the description generally stresses typical characteristics and special requirements. Addresses and telephone…

Ad Hoc Supervision of General Practice Registrars as a "Community of Practice": Analysis, Interpretation and Re-Presentation

ERIC Educational Resources Information Center

Clement, T.; Brown, J.; Morrison, J.; Nestel, D.

2016-01-01

General practice registrars in Australia undertake most of their vocational training in accredited general practices. They typically see patients alone from the start of their community-based training and are expected to seek timely ad hoc support from their supervisor. Such ad hoc encounters are a mechanism for ensuring patient safety, but also…

Developing the Systems Engineering Experience Accelerator (SEEA) Prototype and Roadmap

DTIC Science & Technology

2012-10-24

system attributes. These metrics track non-requirements performance, typically relate to production cost per unit, maintenance costs, training costs...immediately implement lessons learned from the training experience to the job, assuming the culture allows this. 1.3 MANAGEMENT PLAN/TECHNICAL OVERVIEW...resolving potential conflicts as they arise. Incrementally implement and continuously integrate capability in priority order, to ensure that final system

Motivation to Participate in Workplace Training within the Intelligence Community and Beyond: A Study of Contributing Factors

ERIC Educational Resources Information Center

Stanard, Stephanie Vernice Overton

2013-01-01

Organizations can incur extensive costs to fund training typically available to employees free of charge. However, some employees do not participate. The body of research reviewed in adult education focused on relevant studies and models of contributing factors for participation in academia, the workplace, and the community. No studies were found…

Does Working Memory Training Lead to Generalized Improvements in Children with Low Working Memory? A Randomized Controlled Trial

ERIC Educational Resources Information Center

Dunning, Darren L.; Holmes, Joni; Gathercole, Susan E.

2013-01-01

Children with low working memory typically make poor educational progress, and it has been speculated that difficulties in meeting the heavy working memory demands of the classroom may be a contributory factor. Intensive working memory training has been shown to boost performance on untrained memory tasks in a variety of populations. This first…

Examining the Security Awareness, Information Privacy, and the Security Behaviors of Home Computer Users

ERIC Educational Resources Information Center

Edwards, Keith

2015-01-01

Attacks on computer systems continue to be a problem. The majority of the attacks target home computer users. To help mitigate the attacks some companies provide security awareness training to their employees. However, not all people work for a company that provides security awareness training and typically, home computer users do not have the…

The CTE Teacher Selection and Hiring Decision: Practices and Perceptions from Select Pennsylvania CTE Directors

ERIC Educational Resources Information Center

Haas, Beth Ann

2012-01-01

Unlike the academic teacher who has years of teacher training at a university, a teaching practicum, and experiences that lead to the acquisition of a teaching credential, a career and technical education (CTE) teacher typically is hired and placed in the classroom with no pre-service experience or training. Career and technical administrators are…

Ultraendurance triathlon participation: typical race preparation of lower level triathletes.

PubMed

Gulbin, J P; Gaffney, P T

1999-03-01

This study sought to describe the training preparations and performances of lower level ultraendurance triatheletes. The lower level or typical ultraendurance athlete was defined as any participant eligible to compete, irrespective of ability. participants completed a retrospective questionnaire related to their athletic background, triathlon experience and performances, and training preparation. all competitors in the 1995 Lanzarote Ironman (i.m.) triathlon had the opportunity to complete the questionnaire in the days prior to the race. 242 (230 m, 12 f) or 45% of the entire race field completed the questionnaire. measures of central tendency were used to describe all data. Forward step-wise multiple regression techniques were used to predict performance from training variables. Statistical significance was accepted at p < 0.05. Mean finish time for all study participants was 11.76 hours. Subjects were 34.2 +/- 8.8 years, 1.77 +/- 0.07 m, and 70.8 +/- 7.1 kg. They had 6.0 +/- 3.2 years experience in triathlon, had completed 3.0 +/- 4.1 IM races, and spent 21.5 +/- 10.8 weeks preparing for the IM. Training distances/week for swimming, cycling and running, were 8.8 +/- 4.3 km, 270 +/- 107 km, and 58.2 +/- 21.9 km, at a pace of 18.1 min/km, 31.8 km/hr, and 4.55 min/km respectively. Previous best performances in Olympic distance triathlon (1.5/40/10) coupled with weekly cycling distances and longest training ride, could partially predict overall performance (R2 = 0.57). Finishing an IM requires less training than has been previously reported in studies that have primarily focused on elite competitors. Additionally, training distances appear to be a more important factor for competitive success than training paces.

A Systematic Review of Parent-Implemented Functional Communication Training for Children With ASD.

PubMed

Gerow, Stephanie; Hagan-Burke, Shanna; Rispoli, Mandy; Gregori, Emily; Mason, Rose; Ninci, Jennifer

2018-05-01

Supporting parents in reducing challenging behavior of children with autism spectrum disorder (ASD) requires the identification of effective, feasible, and sustainable interventions. Functional communication training (FCT) is one of the most well-established interventions in the behavioral literature and is used increasingly by parents. However, there is a need for additional evaluation of the literature related to parent-implemented FCT. In the present review, we identified 26 peer-reviewed studies on parent-implemented FCT. We conducted systematic descriptive and social validity analyses to summarize the extant literature. Across studies, parent-implemented FCT was effective in reducing child challenging behavior, and in some cases, intervention outcomes maintained and generalized to novel settings and implementers. However, few studies reported fidelity data on parent implementation of FCT, and data regarding sustained use of FCT by parents were limited. Results of the social validity analysis indicate that while FCT is often implemented by natural change agents in typical settings, parent training is often provided by professionals not typically accessible to parents. These findings suggest that future research is warranted in the areas of parent training and long-term sustainability of parent-implemented FCT.

Encoding frequency contrast in primate auditory cortex

PubMed Central

Scott, Brian H.; Semple, Malcolm N.

2014-01-01

Changes in amplitude and frequency jointly determine much of the communicative significance of complex acoustic signals, including human speech. We have previously described responses of neurons in the core auditory cortex of awake rhesus macaques to sinusoidal amplitude modulation (SAM) signals. Here we report a complementary study of sinusoidal frequency modulation (SFM) in the same neurons. Responses to SFM were analogous to SAM responses in that changes in multiple parameters defining SFM stimuli (e.g., modulation frequency, modulation depth, carrier frequency) were robustly encoded in the temporal dynamics of the spike trains. For example, changes in the carrier frequency produced highly reproducible changes in shapes of the modulation period histogram, consistent with the notion that the instantaneous probability of discharge mirrors the moment-by-moment spectrum at low modulation rates. The upper limit for phase locking was similar across SAM and SFM within neurons, suggesting shared biophysical constraints on temporal processing. Using spike train classification methods, we found that neural thresholds for modulation depth discrimination are typically far lower than would be predicted from frequency tuning to static tones. This “dynamic hyperacuity” suggests a substantial central enhancement of the neural representation of frequency changes relative to the auditory periphery. Spike timing information was superior to average rate information when discriminating among SFM signals, and even when discriminating among static tones varying in frequency. This finding held even when differences in total spike count across stimuli were normalized, indicating both the primacy and generality of temporal response dynamics in cortical auditory processing. PMID:24598525

Can Visual Arts Training Improve Physician Performance?

PubMed Central

Katz, Joel T.; Khoshbin, Shahram

2014-01-01

Clinical educators use medical humanities as a means to improve patient care by training more self-aware, thoughtful, and collaborative physicians. We present three examples of integrating fine arts — a subset of medical humanities — into the preclinical and clinical training as models that can be adapted to other medical environments to address a wide variety of perceived deficiencies. This novel teaching method has promise to improve physician skills, but requires further validation. PMID:25125749

Influence of Sequential vs. Simultaneous Dual-Task Exercise Training on Cognitive Function in Older Adults

PubMed Central

Tait, Jamie L.; Duckham, Rachel L.; Milte, Catherine M.; Main, Luana C.; Daly, Robin M.

2017-01-01

Emerging research indicates that exercise combined with cognitive training may improve cognitive function in older adults. Typically these programs have incorporated sequential training, where exercise and cognitive training are undertaken separately. However, simultaneous or dual-task training, where cognitive and/or motor training are performed simultaneously with exercise, may offer greater benefits. This review summary provides an overview of the effects of combined simultaneous vs. sequential training on cognitive function in older adults. Based on the available evidence, there are inconsistent findings with regard to the cognitive benefits of sequential training in comparison to cognitive or exercise training alone. In contrast, simultaneous training interventions, particularly multimodal exercise programs in combination with secondary tasks regulated by sensory cues, have significantly improved cognition in both healthy older and clinical populations. However, further research is needed to determine the optimal characteristics of a successful simultaneous training program for optimizing cognitive function in older people. PMID:29163146

Mindfulness Meditation Training for Attention-Deficit/Hyperactivity Disorder in Adulthood: Current Empirical Support, Treatment Overview, and Future Directions

PubMed Central

Mitchell, John T.; Zylowska, Lidia; Kollins, Scott H.

2015-01-01

Research examining nonpharmacological interventions for adults diagnosed with attention-deficit/hyperactivity disorder (ADHD) has expanded in recent years and provides patients with more treatment options. Mindfulness-based training is an example of an intervention that is gaining promising preliminary empirical support and is increasingly administered in clinical settings. The aim of this review is to provide a rationale for the application of mindfulness to individuals diagnosed with ADHD, describe the current state of the empirical basis for mindfulness training in ADHD, and summarize a treatment approach specific to adults diagnosed with ADHD: the Mindful Awareness Practices (MAPs) for ADHD Program. Two case study examples are provided to demonstrate relevant clinical issues for practitioners interested in this approach. Directions for future research, including mindfulness meditation as a standalone treatment and as a complementary approach to cognitive-behavioral therapy, are provided. PMID:25908900

International Space Station Human Behavior and Performance Competency Model: Volume II

NASA Technical Reports Server (NTRS)

Schmidt, Lacey

2008-01-01

This document further defines the behavioral markers identified in the document "Human Behavior and Performance Competency Model" Vol. I. The Human Behavior and Performance (HBP) competencies were recommended as requirements to participate in international long duration missions, and form the basis for determining the HBP training curriculum for long duration crewmembers. This document provides details, examples, knowledge areas, and affective skills to support the use of the HBP competencies in training and evaluation. This document lists examples and details specific to HBP competencies required of astronauts/cosmonauts who participate in ISS expedition and other international long-duration missions. Please note that this model does not encompass all competencies required. While technical competencies are critical for crewmembers, they are beyond the scope of this document. Additionally, the competencies in this model (and subsequent objectives) are not intended to limit the internal activities or training programs of any international partner.

Uxoricide in pregnancy: ancient Greek domestic violence in evolutionary perspective.

PubMed

Deacy, Susan; McHardy, Fiona

2013-10-24

Previous studies of ancient Greek examples of uxoricide in pregnancy have concluded that the theme is used to suggest tyrannical abuse of power and that the violence is a product of the patriarchal nature of ancient society. This article uses evolutionary analyses of violence during pregnancy to argue that the themes of sexual jealousy and uncertainty over paternity are as crucial as the theme of power to an understanding of these examples and that the examples can be seen as typical instances of spousal abuse as it occurs in all types of society.

Learning, attentional control, and action video games.

PubMed

Green, C S; Bavelier, D

2012-03-20

While humans have an incredible capacity to acquire new skills and alter their behavior as a result of experience, enhancements in performance are typically narrowly restricted to the parameters of the training environment, with little evidence of generalization to different, even seemingly highly related, tasks. Such specificity is a major obstacle for the development of many real-world training or rehabilitation paradigms, which necessarily seek to promote more general learning. In contrast to these typical findings, research over the past decade has shown that training on 'action video games' produces learning that transfers well beyond the training task. This has led to substantial interest among those interested in rehabilitation, for instance, after stroke or to treat amblyopia, or training for various precision-demanding jobs, for instance, endoscopic surgery or piloting unmanned aerial drones. Although the predominant focus of the field has been on outlining the breadth of possible action-game-related enhancements, recent work has concentrated on uncovering the mechanisms that underlie these changes, an important first step towards the goal of designing and using video games for more definite purposes. Game playing may not convey an immediate advantage on new tasks (increased performance from the very first trial), but rather the true effect of action video game playing may be to enhance the ability to learn new tasks. Such a mechanism may serve as a signature of training regimens that are likely to produce transfer of learning. Copyright © 2012 Elsevier Ltd. All rights reserved.

Learning, attentional control and action video games

PubMed Central

Green, C.S.; Bavelier, D.

2012-01-01

While humans have an incredible capacity to acquire new skills and alter their behavior as a result of experience, enhancements in performance are typically narrowly restricted to the parameters of the training environment, with little evidence of generalization to different, even seemingly highly related, tasks. Such specificity is a major obstacle for the development of many real-world training or rehabilitation paradigms, which necessarily seek to promote more general learning. In contrast to these typical findings, research over the past decade has shown that training on ‘action video games’ produces learning that transfers well beyond the training task. This has led to substantial interest among those interested in rehabilitation, for instance, after stroke or to treat amblyopia, or training for various precision-demanding jobs, for instance, endoscopic surgery or piloting unmanned aerial drones. Although the predominant focus of the field has been on outlining the breadth of possible action-game-related enhancements, recent work has concentrated on uncovering the mechanisms that underlie these changes, an important first step towards the goal of designing and using video games for more definite purposes. Game playing may not convey an immediate advantage on new tasks (increased performance from the very first trial), but rather the true effect of action video game playing may be to enhance the ability to learn new tasks. Such a mechanism may serve as a signature of training regimens that are likely to produce transfer of learning. PMID:22440805

More than one kind of inference: re-examining what's learned in feature inference and classification.

PubMed

Sweller, Naomi; Hayes, Brett K

2010-08-01

Three studies examined how task demands that impact on attention to typical or atypical category features shape the category representations formed through classification learning and inference learning. During training categories were learned via exemplar classification or by inferring missing exemplar features. In the latter condition inferences were made about missing typical features alone (typical feature inference) or about both missing typical and atypical features (mixed feature inference). Classification and mixed feature inference led to the incorporation of typical and atypical features into category representations, with both kinds of features influencing inferences about familiar (Experiments 1 and 2) and novel (Experiment 3) test items. Those in the typical inference condition focused primarily on typical features. Together with formal modelling, these results challenge previous accounts that have characterized inference learning as producing a focus on typical category features. The results show that two different kinds of inference learning are possible and that these are subserved by different kinds of category representations.

Training and Transfer of Complex Cognitive Skills: Effects of Worked Examples and Conventional Problem-Solving

ERIC Educational Resources Information Center

Darabi, Abbas; Nelson, David W.

2004-01-01

Thirty six senior students in chemical engineering were randomly assigned to three treatment groups in an experimental study that examined the impact of different instructional strategies for troubleshooting malfunctions in a computer-based simulation of a chemical processing plant. In two groups, different types of worked examples,…

The Consequences of Fading Instructional Guidance on Delayed Performance: The Case of Financial Services Training

ERIC Educational Resources Information Center

Kissane, Mark; Kalyuga, Slava; Chandler, Paul; Sweller, John

2008-01-01

Empirical studies within a cognitive load framework have determined that for novice learners, worked examples provide appropriate levels of instructional guidance. As learners advance in specific subject domains, worked examples should be gradually replaced by practice problems with limited guidance. This study compared performance, both…

78 FR 48224 - Lac-Mégantic Railroad Accident Discussion and DOT Safety Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-07

.... the train stopped near mile post 7.40 near Nantes, Quebec. At that location the single operator... their destinations safely and without incident. In calendar year 2011, for example, out of the... failures. For example, as based on FRA's accident reporting data for the period from 2008 through 2012...

Studying and Working Abroad. Leonardo da Vinci Series: Good Practices.

ERIC Educational Resources Information Center

Commission of the European Communities, Brussels (Belgium). Directorate-General for Education and Culture.

This document profiles recent successful examples of students studying and working abroad as part of the European Commission's Leonardo da Vinci program, which is designed to give students across the European Union the opportunity to experience vocational training in a foreign country. The following examples are presented: (1) 3 Finnish students…

Automatic threshold selection for multi-class open set recognition

NASA Astrophysics Data System (ADS)

Scherreik, Matthew; Rigling, Brian

2017-05-01

Multi-class open set recognition is the problem of supervised classification with additional unknown classes encountered after a model has been trained. An open set classifer often has two core components. The first component is a base classifier which estimates the most likely class of a given example. The second component consists of open set logic which estimates if the example is truly a member of the candidate class. Such a system is operated in a feed-forward fashion. That is, a candidate label is first estimated by the base classifier, and the true membership of the example to the candidate class is estimated afterward. Previous works have developed an iterative threshold selection algorithm for rejecting examples from classes which were not present at training time. In those studies, a Platt-calibrated SVM was used as the base classifier, and the thresholds were applied to class posterior probabilities for rejection. In this work, we investigate the effectiveness of other base classifiers when paired with the threshold selection algorithm and compare their performance with the original SVM solution.

Australia's Vocational Education & Training System Annual National Report 1996. Volume 1: National Overview.

ERIC Educational Resources Information Center

Australian National Training Authority, Brisbane.

This document outlines the major features and achievements of the Australian vocational education and training system in 1996 and provides some illustrative examples of specific initiatives undertaken by states, territories, and the Commonwealth. Among the major achievements detailed in the report are the following: (1) for students--35,000 more…

Developing E-Learning Solutions in the Automotive Industry

ERIC Educational Resources Information Center

Bogdan, Razvan; Ancusa, Versavia

2016-01-01

In the rapid developing market of automotive industry, cutting-edge technologies are being introduced. One such example is the AUTOSAR standard. Companies are investing a large amount of finances for the training of their employees into the intricacies of such technologies. In order to face such an increase of the training costs, automotive…

Emergent Supervisors: Comparing Counseling Center and Non-Counseling-Center Interns' Supervisory Training Experiences

ERIC Educational Resources Information Center

Crook-Lyon, Rachel E.; Presnell, Jennifer; Silva, Lynda; Suyama, Mich; Stickney, Janine

2011-01-01

Focusing on supervision training is important for a variety of reasons. Many professionals, for example, stress both the positive and negative impact supervisors have on the development of counselor trainees. In addition, counselors are likely to provide supervision during their professional career. Furthermore, the role of supervisor is often…

Using Movies to Teach Family Systems Concepts.

ERIC Educational Resources Information Center

Hudock, Anthony M., Jr.; Warden, Sherry A. Gallagher

2001-01-01

This article reflects a review of research relevant to family systems training and the use of films in the teaching of family systems theory. Advantages and disadvantages of using movies in an introductory-level graduate family therapy course are discussed. An outline of family therapy training objectives, as well as examples of a movie-based…

How to Explain Receptivity to Conjunction-Fallacy Inhibition Training: Evidence from the Iowa Gambling Task

ERIC Educational Resources Information Center

Cassotti, Mathieu; Moutier, Sylvain

2010-01-01

Intuitive predictions and judgments under conditions of uncertainty are often mediated by judgment heuristics that sometimes lead to biases. Using the classical conjunction bias example, the present study examines the relationship between receptivity to metacognitive executive training and emotion-based learning ability indexed by Iowa Gambling…

Training in the Air Force--The Example of Graduate Education.

ERIC Educational Resources Information Center

Hanushek, Eric A.

The study applies models for rational investing in human capital to Air Force decisions on training and particularly decisions about graduate education for officers. Two separate questions are addressed in depth. First, among the possible types of officers (rated-nonrated, reserve-regular, by length of service) who could be sent to school, are…

New Technologies in Maritime Education and Training, Turkish Experiment

ERIC Educational Resources Information Center

Erdogan, Oral; Demirel, Ergun

2017-01-01

The aim of this study is to introduce new technologies and approaches in the maritime education and training (MET) and Turkish experiment/acquisitions/contributions including some analysis which may be helpful for the future studies on this subject. As an example of such an effort, Turkish experiment/contribution on seafaring officer education…

Responding to Changing Skill Demands: Training Packages and Accredited Courses

ERIC Educational Resources Information Center

Misko, Josie

2010-01-01

This report, commissioned by the federal Department of Education, Employment and Workplace Relations (DEEWR), investigates whether vocational education and training (VET) has adapted to meet the changing needs of work. It provides examples of how work has changed for different occupations and functions, and how systemic mechanisms such as training…

34 CFR 600.7 - Conditions of institutional ineligibility.

Code of Federal Regulations, 2010 CFR

2010-07-01

... referred to must be with Federal, State, or local government agencies for the purpose of providing job training to low-income individuals who are in need of that training. An example of such a contract is a job... satisfaction that it exceeds that limitation because it serves, through contracts with Federal, State, or local...

Training Interdisciplinary "Wicked Problem" Solvers: Applying Lessons from HERO in Community-Based Research Experiences for Undergraduates

ERIC Educational Resources Information Center

Cantor, Alida; DeLauer, Verna; Martin, Deborah; Rogan, John

2015-01-01

Management of "wicked problems", messy real-world problems that defy resolution, requires thinkers who can transcend disciplinary boundaries, work collaboratively, and handle complexity and obstacles. This paper explores how educators can train undergraduates in these skills through applied community-based research, using the example of…

Professional Training of Computational Linguists at the University of Stuttgart

ERIC Educational Resources Information Center

Darmoroz, Halyna

2017-01-01

The paper deals with the aspects of professional training of specialists in computational linguistics by the example of the University of Stuttgart. First of all, we have attempted to define the essence of the terms "applied linguistics" and "computational linguistics" based on the views of Ukrainian and foreign scholars. We…

Educational training and attitudes towards recycling among campground managers in Iowa

Treesearch

Marci Cobb; Robert A. Robertson

1995-01-01

In surveying managers of Iowa's campgrounds to determine their attitudes and behavior regarding recycling, it was found that attitudes were related to the type of educational backgrounds. For example, managers with park and recreation degrees had less strong conservation orientation than those with educational training in natural sciences which tended to develop...

What Is the Role of Group Parent Training in the Treatment of ADD Children?

ERIC Educational Resources Information Center

Barkley, Russell A.

1986-01-01

The nature of behavioral deficiencies in children with Attention Deficit Disorders are briefly described. The use of group parent training is recommended as the most cost-effective method for helping parents. Steps involved in implementing such a program and a case example are provided. (Author/DB)

A Systematic, Inquiry-Based 7-Step Virtual Worlds Teacher Training

ERIC Educational Resources Information Center

Nussli, Natalie Christina; Oh, Kevin

2015-01-01

Eighteen special education teachers explored one prominent example of three-dimensional virtual worlds, namely Second Life. This study aimed to (a) determine their perception of the effectiveness of a systematic 7-Step Virtual Worlds Teacher Training workshop in terms of enabling them to make informed decisions about the usability of virtual…

IT Tools in Initial Teacher Training

ERIC Educational Resources Information Center

Herlo, Dorin

2016-01-01

In initial teacher training, the call to use IT tools, and to integrate them into the virtual learning space, is not conjectural but is an example of introducing new technologies in the complexity of educational sciences. For this reason we approached the use of new technologies in the courses and seminars of subjects from the curriculum of…

Systems Engineering of Education V: Quantitative Concepts for Education Systems.

ERIC Educational Resources Information Center

Silvern, Leonard C.

The fifth (of 14) volume of the Education and Training Consultant's (ETC) series on systems engineering of education is designed for readers who have completed others in the series. It reviews arithmetic and algebraic procedures and applies these to simple education and training systems. Flowchart models of example problems are developed and…

In Their Words: Student Choice in Training Markets--Victorian Examples. NCVER Research Report

ERIC Educational Resources Information Center

Brown, Justin

2017-01-01

This research offers insights into the options available to individuals as they navigate the vocational education and training (VET) market. Importantly, this study directly represents the voice of students, asking how their choices were made and whether their choice was sufficiently "informed." The student voice is contrasted with…

Still a Perfect Model? The Gender Impact of Vocational Training in Germany

ERIC Educational Resources Information Center

Haasler, Simone R.; Gottschall, Karin

2015-01-01

Reconstructing the parallel structure of "dual" and "school-based" vocational routes reveals the close connection between the German vocational training system and the segmentation of the labour market by gender. The example of jobs in childcare and pre-primary education shows that the legacy of semi-professionalism in these…

Information and Communication Technologies in Teacher Training and Professional Development in Nigeria

ERIC Educational Resources Information Center

Olakulehin, Felix Kayode

2007-01-01

This paper examined the contemporary teacher training and professional development in Nigeria as an example of the experiences in developing countries of the world. Against the background of the ascendancy of information and communications technologies in all aspects of human life this study attempted to situate the concept of Information and…

Aspects of Sentence Retrieval

DTIC Science & Technology

2006-09-01

English-to-Arabic-to-English Lexicon . . . . . . . . . . . . . . . . . . . . . 89 6.2.4 A WordNet Probabilistic Dictionary ...19 4.1 Examples of “translations” of the terms “zebra” and “galileo” from a translation dictionary trained...106 6.13 Comparing the use of WordNet as a translation table, and as a dictionary during the training of a translation table

Trends in Interdisciplinary and Integrative Graduate Training: An NSF IGERT Example

ERIC Educational Resources Information Center

Martin, Philip E.; Umberger, Brian R.

2003-01-01

In a report entitled "Reshaping the Graduate Education of Scientists and Engineers" (National Academy of Sciences, 1995), the Committee on Science, Engineering, and Public Policy proposed a modified PhD training model that retains an emphasis on intensive research experiences, while incorporating additional experiences to prepare graduates for an…

34 CFR 600.7 - Conditions of institutional ineligibility.

Code of Federal Regulations, 2011 CFR

2011-07-01

... satisfaction that it exceeds that limitation because it serves, through contracts with Federal, State, or local... referred to must be with Federal, State, or local government agencies for the purpose of providing job training to low-income individuals who are in need of that training. An example of such a contract is a job...

Handling the Cerebral Palsied Child: Multi-Level Skills Transfer in Pakistan.

ERIC Educational Resources Information Center

Miles, M.; Frizzell, Yvonne

1990-01-01

The majority of children with cerebral palsy in developing countries have no access to trained therapists; for example, in Pakistan, there is less than one trained general physiotherapist per million population. In Pakistan, cerebral palsy handling skills were taught to a group of parents, teachers, and paraprofessionals in a series of practical…

Intensive Training in Youth Sport: An Example of Unequal Opportunity.

ERIC Educational Resources Information Center

Rowley, Stephen R. W.; Graham, Philip J.

1999-01-01

Examined the social composition of an unselected sample of 282 English 8- to 16-year olds involved in intensive training in football, swimming, tennis, and gymnastics. Found that working-class children and those from single-parent families were underrepresented in all sports. Concluded that financial considerations and difficulties in accessing…

Videocourses for Training Staff in Developing Countries: An Example with Severely Retarded and Multiply Handicapped Children.

ERIC Educational Resources Information Center

McConkey, Roy; Templer, Sally

1987-01-01

The paper describes the development, content, and evaluation of an indigeniously produced video training package in the developing country of Zimbabwe which is designed for local personnel (nurses, nurses' aides, trainee nurses, and teachers) working with severely retarded and multiply handicapped children and young adults. (DB)

Tribal Aging Programs: A Basic Guide.

ERIC Educational Resources Information Center

National Indian Council on Aging, Albuquerque, NM.

A national training session for administrators of tribal aging programs held by the National Indian Council on Aging in November 1979 was the basis for the training manual. The seven chapter titles reflect workshop topics with the text of each chapter incorporating material presented in the workshops and examples of model programs on reservations.…

Russian perspectives on elder abuse: an exploratory study.

PubMed

Rinsky, Karina; Malley-Morrison, Kathleen

2006-01-01

The purpose of this exploratory study was to analyze Russian perceptions of elder abuse as reflected in their examples of abusive behavior from an adult child to an aging parent. Also of interest was the possibility of gender differences in the Russian perspectives on elder abuse. The convenience sample consisted of 21 Russian participants (10 males, 10 females, and one without gender identified), who provided examples of extreme, moderate, and mild abuse from an adult child towards an aging parent. Most examples of extreme abuse were forms of physical violence. Typical examples of moderate abuse were instances of psychological aggression-particularly verbal aggression-and neglect. The most common examples of mild abuse were verbal aggression and neglect. One-way analyses of variance revealed statistically significant gender differences in the number of references to psychological aggression in general and to verbal aggression in particular in the examples of moderate abuse, with females giving more examples than males.

Mentoring Strategies and Outcomes of Two Federally Funded Cancer Research Training Programs for Underrepresented Students in the Biomedical Sciences.

PubMed

Ford, Marvella E; Abraham, Latecia M; Harrison, Anita L; Jefferson, Melanie S; Hazelton, Tonya R; Varner, Heidi; Cannady, Kimberly; Frichtel, Carla S; Bagasra, Omar; Davis, Leroy; Rivers, David E; Slaughter, Sabra C; Salley, Judith D

2016-06-01

The US is experiencing a severe shortage of underrepresented biomedical researchers. The purpose of this paper is to present two case examples of cancer research mentoring programs for underrepresented biomedical sciences students. The first case example is a National Institutes of Health/National Cancer Institute (NIH/NCI) P20 grant titled "South Carolina Cancer Disparities Research Center (SC CaDRe)" Training Program, contributing to an increase in the number of underrepresented students applying to graduate school by employing a triple-level mentoring strategy. Since 2011, three undergraduate and four graduate students have participated in the P20 SC CaDRe program. One graduate student published a peer-reviewed scientific paper. Two graduate students (50 %) have completed their master's degrees, and the other two graduate students will receive their degrees in spring 2015. Two undergraduate students (67 %) are enrolled in graduate or professional school (grad./prof. school), and the other graduate student is completing her final year of college. The second case example is a prostate cancer-focused Department of Defense grant titled "The SC Collaborative Undergraduate HBCU Student Summer Training Program," providing 24 students training since 2009. Additionally, 47 students made scientific presentations, and two students have published peer-reviewed scientific papers. All 24 students took a GRE test preparation course; 15 (63 %) have applied to graduate school, and 11 of them (73 %) are enrolled in grad./prof. school. Thirteen remaining students (54 %) are applying to grad./prof. school. Leveraged funding provided research-training opportunities to an additional 201 National Conference on Health Disparities Student Forum participants and to 937 Ernest E. Just Research Symposium participants at the Medical University of South Carolina.

Reliable Electronic Text: The Elusive Prerequisite for a Host of Human Language Technologies

DTIC Science & Technology

2010-09-30

is not always the case—for example, ligatures in Latin-fonts, and glyphs in Arabic fonts (King, 2008; Carrier, 2009). This complexity, and others...such effects can render electronic text useless for natural language processing ( NLP ). Typically, file converters do not expose the details of the...the many component NLP technologies typically used inside information extraction and text categorization applications, such as tokenization, part-of

Teaching ethical aptitude to graduate student researchers.

PubMed

Weyrich, Laura S; Harvill, Eric T

2013-01-01

Limited time dedicated to each training areas, irrelevant case-studies, and ethics "checklists" have resulted in bare-bones Responsible Conduct of Research (RCR) training for present biomedical graduate student researchers. Here, we argue that science graduate students be taught classical ethical theory, such as virtue ethics, consequentialist theory, and deontological theory, to provide a basic framework to guide researchers through ethically complex situations and examine the applicability, implications, and societal ramifications of their research. Using a relevant biomedical research example to illustrate this point, we argue that proper ethics training for graduate student researchers not only will enhance current RCR training, but train more creative, responsible scientists.

Training Research: Practical Recommendations for Maximum Impact

PubMed Central

Beidas, Rinad S.; Koerner, Kelly; Weingardt, Kenneth R.; Kendall, Philip C.

2011-01-01

This review offers practical recommendations regarding research on training in evidence-based practices for mental health and substance abuse treatment. When designing training research, we recommend: (a) aligning with the larger dissemination and implementation literature to consider contextual variables and clearly defining terminology, (b) critically examining the implicit assumptions underlying the stage model of psychotherapy development, (c) incorporating research methods from other disciplines that embrace the principles of formative evaluation and iterative review, and (d) thinking about how technology can be used to take training to scale throughout all stages of a training research project. An example demonstrates the implementation of these recommendations. PMID:21380792

Training play behavior in a 5-year-old boy with developmental disabilities.

PubMed

Arntzen, Erik; Halstadtrø, Ann-Mari; Halstadtrø, Monica

2003-01-01

The purpose of the current study was twofold: (a) to investigate if it was possible to train three different games (both as a leader and as a participant) to a child with developmental disabilities through interaction with 4 typically developing peers, and (b) to examine if correct responding would be maintained after the training was faded. A multiple probe design across three games was used. The results showed that the child learned both skills as a leader and as a participant in all three games, and that skills were maintained for a period of 3 weeks after the training had stopped.

Training play behavior in a 5-year-old boy with developmental disabilities.

PubMed Central

Arntzen, Erik; Halstadtrø, Ann-Mari; Halstadtrø, Monica

2003-01-01

The purpose of the current study was twofold: (a) to investigate if it was possible to train three different games (both as a leader and as a participant) to a child with developmental disabilities through interaction with 4 typically developing peers, and (b) to examine if correct responding would be maintained after the training was faded. A multiple probe design across three games was used. The results showed that the child learned both skills as a leader and as a participant in all three games, and that skills were maintained for a period of 3 weeks after the training had stopped. PMID:14596578

Swimming-induced pulmonary oedema an uncommon condition diagnosed with POCUS ultrasound.

PubMed

Alonso, Joaquín Valle; Chowdhury, Motiur; Borakati, Raju; Gankande, Upali

2017-12-01

Swimming Induced Pulmonary Edema, or SIPE, is an emerging condition occurring in otherwise healthy individuals during surface swimming or diving that is characterized by cough, dyspnea, hemoptysis, and hypoxemia. It is typically found in those who spend time in cold water exercise with heavy swimming and surface swimming, such as civilian training for iron Man, triathalon, and military training. We report the case of a highly trained young female swimmer in excellent cardiopulmonary health, who developed acute alveolar pulmonary oedema in an open water swimming training diagnosed in the emergency department using POCUS ultrasound. Copyright © 2017 Elsevier Inc. All rights reserved.