Comparing the Effect of Thinking Maps Training Package Developed by the Thinking Maps Method on the Reading Performance of Dyslexic Students

ERIC Educational Resources Information Center

Faramarzi, Salar; Moradi, Mohammadreza; Abedi, Ahmad

2018-01-01

The present study aimed to develop the thinking maps training package and compare its training effect with the thinking maps method on the reading performance of second and fifth grade of elementary school male dyslexic students. For this mixed method exploratory study, from among the above mentioned grades' students in Isfahan, 90 students who…

A simple method to derive bounds on the size and to train multilayer neural networks

NASA Technical Reports Server (NTRS)

Sartori, Michael A.; Antsaklis, Panos J.

1991-01-01

A new derivation is presented for the bounds on the size of a multilayer neural network to exactly implement an arbitrary training set; namely, the training set can be implemented with zero error with two layers and with the number of the hidden-layer neurons equal to no.1 is greater than p - 1. The derivation does not require the separation of the input space by particular hyperplanes, as in previous derivations. The weights for the hidden layer can be chosen almost arbitrarily, and the weights for the output layer can be found by solving no.1 + 1 linear equations. The method presented exactly solves (M), the multilayer neural network training problem, for any arbitrary training set.

Focused didactic training for skills lab student tutors – which techniques are considered helpful?

PubMed Central

Heni, Martin; Lammerding-Köppel, Maria; Celebi, Nora; Shiozawa, Thomas; Riessen, Reimer; Nikendei, Christoph; Weyrich, Peter

2012-01-01

Objective: Peer-assisted learning is widely used in medical education. However, little is known about an appropriate didactic preparation for peer tutors. We herein describe the development of a focused didactic training for skills lab tutors in Internal Medicine and report on a retrospective survey about the student tutors’ acceptance and the perceived transferability of attended didactic training modules. Methods: The course consisted of five training modules: ‘How to present and explain effectively’: the student tutors had to give a short presentation with subsequent video analysis and feedback in order to learn methods of effective presentation. ‘How to explain precisely’: Precise explanation techniques were trained by exercises of exact description of geometric figures and group feedback. ‘How to explain on impulse’: Spontaneous teaching presentations were simulated and feedback was given. ‘Peyton’s 4 Step Approach’: Peyton‘s Method for explanation of practical skills was introduced and trained by the participants. ‘How to deal with critical incidents’: Possibilities to deal with critical teaching situations were worked out in group sessions. Twenty-three student tutors participated in the retrospective survey by filling out an electronic questionnaire, after at least 6 months of teaching experience. Results: The exercise ‘How to present and explain effectively’ received the student tutors’ highest rating for their improvement of didactic qualification and was seen to be most easily transferable into the skills lab environment. This module was rated as the most effective module by nearly half of the participants. It was followed by ‘Peyton’s 4 Step Approach’ , though it was also seen to be the most delicate method in regard to its transfer into the skills lab owing to time concerns. However, it was considered to be highly effective. The other modules received lesser votes by the tutors as the most helpful exercise in improving their didactic qualification for skills lab teaching. Conclusion: We herein present a pilot concept for a focused didactic training of peer tutors and present results of a retrospective survey among our skills lab tutors about the distinct training modules. This report might help other faculties to design didactic courses for skills lab student tutors. PMID:22737196

Measurement invariance study of the training satisfaction questionnaire (TSQ).

PubMed

Sanduvete-Chaves, Susana; Holgado-Tello, F Pablo; Chacón-Moscoso, Salvador; Barbero-García, M Isabel

2013-01-01

This article presents an empirical measurement invariance study in the substantive area of satisfaction evaluation in training programs. Specifically, it (I) provides an empirical solution to the lack of explicit measurement models of satisfaction scales, offering a way of analyzing and operationalizing the substantive theoretical dimensions; (II) outlines and discusses the analytical consequences of considering the effects of categorizing supposedly continuous variables, which are not usually taken into account; (III) presents empirical results from a measurement invariance study based on 5,272 participants' responses to a training satisfaction questionnaire in three different organizations and in two different training methods, taking into account the factor structure of the measured construct and the ordinal nature of the recorded data; and (IV) describes the substantive implications in the area of training satisfaction evaluation, such as the usefulness of the training satisfaction questionnaire to measure satisfaction in different organizations and different training methods. It also discusses further research based on these findings.

A Qualitative Assessment of Human Cadavers Embalmed by Thiel's Method Used in Laparoscopic Training for Renal Resection

ERIC Educational Resources Information Center

Rai, Bhavan Prasad; Tang, Benjie; Eisma, Roos; Soames, Roger W.; Wen, Haitao; Nabi, Ghulam

2012-01-01

Human cadaveric tissue is the fundamental substrate for basic anatomic and surgical skills training. A qualitative assessment of the use of human cadavers preserved by Thiel's method for a British Association of Urological Surgeons--approved, advanced laparoscopic renal resection skills training course is described in the present study. Four…

Analytical Methods for Trace Metals. Training Manual.

ERIC Educational Resources Information Center

Office of Water Program Operations (EPA), Cincinnati, OH. National Training and Operational Technology Center.

This training manual presents material on the theoretical concepts involved in the methods listed in the Federal Register as approved for determination of trace metals. Emphasis is on laboratory operations. This course is intended for chemists and technicians with little or no experience in analytical methods for trace metals. Students should have…

Instructional Methodology and Experimental Design for Evaluating Audio-Video Support to Undergraduate Pilot Training.

ERIC Educational Resources Information Center

Purifoy, George R., Jr.

This report presents a detailed description of the methods by which airborne video recording will be utilized in training Air Force pilots, and presents the format for an experiment testing the effectiveness of such training. Portable airborne recording with ground playback permits more economical and efficient teaching of the critical visual and…

Training of U.S. Air Traffic Controllers. (IDA Report No. R-206).

ERIC Educational Resources Information Center

Henry, James H.; And Others

The report reviews the evolution of existing national programs for air traffic controller training, estimates the number of persons requiring developmental and supplementary training, examines present controller selection and training programs, investigates performance measurement methods, considers standardization and quality control, discusses…

Advanced correlation grid: Analysis and visualisation of functional connectivity among multiple spike trains.

PubMed

Masud, Mohammad Shahed; Borisyuk, Roman; Stuart, Liz

2017-07-15

This study analyses multiple spike trains (MST) data, defines its functional connectivity and subsequently visualises an accurate diagram of connections. This is a challenging problem. For example, it is difficult to distinguish the common input and the direct functional connection of two spike trains. The new method presented in this paper is based on the traditional pairwise cross-correlation function (CCF) and a new combination of statistical techniques. First, the CCF is used to create the Advanced Correlation Grid (ACG) correlation where both the significant peak of the CCF and the corresponding time delay are used for detailed analysis of connectivity. Second, these two features of functional connectivity are used to classify connections. Finally, the visualization technique is used to represent the topology of functional connections. Examples are presented in the paper to demonstrate the new Advanced Correlation Grid method and to show how it enables discrimination between (i) influence from one spike train to another through an intermediate spike train and (ii) influence from one common spike train to another pair of analysed spike trains. The ACG method enables scientists to automatically distinguish between direct connections from spurious connections such as common source connection and indirect connection whereas existing methods require in-depth analysis to identify such connections. The ACG is a new and effective method for studying functional connectivity of multiple spike trains. This method can identify accurately all the direct connections and can distinguish common source and indirect connections automatically. Copyright © 2017 Elsevier B.V. All rights reserved.

Kinematic precision of gear trains

NASA Technical Reports Server (NTRS)

Litvin, F. L.; Goldrich, R. N.; Coy, J. J.; Zaretsky, E. V.

1982-01-01

Kinematic precision is affected by errors which are the result of either intentional adjustments or accidental defects in manufacturing and assembly of gear trains. A method for the determination of kinematic precision of gear trains is described. The method is based on the exact kinematic relations for the contact point motions of the gear tooth surfaces under the influence of errors. An approximate method is also explained. Example applications of the general approximate methods are demonstrated for gear trains consisting of involute (spur and helical) gears, circular arc (Wildhaber-Novikov) gears, and spiral bevel gears. Gear noise measurements from a helicopter transmission are presented and discussed with relation to the kinematic precision theory.

Modified Levenberg-Marquardt Method for RÖSSLER Chaotic System Fuzzy Modeling Training

NASA Astrophysics Data System (ADS)

Wang, Yu-Hui; Wu, Qing-Xian; Jiang, Chang-Sheng; Xue, Ya-Li; Fang, Wei

Generally, fuzzy approximation models require some human knowledge and experience. Operator's experience is involved in the mathematics of fuzzy theory as a collection of heuristic rules. The main goal of this paper is to present a new method for identifying unknown nonlinear dynamics such as Rössler system without any human knowledge. Instead of heuristic rules, the presented method uses the input-output data pairs to identify the Rössler chaotic system. The training algorithm is a modified Levenberg-Marquardt (L-M) method, which can adjust the parameters of each linear polynomial and fuzzy membership functions on line, and do not rely on experts' experience excessively. Finally, it is applied to training Rössler chaotic system fuzzy identification. Comparing this method with the standard L-M method, the convergence speed is accelerated. The simulation results demonstrate the effectiveness of the proposed method.

The Effects of Transfer in Teaching Vocabulary to School Children: An Analysis of the Dependencies between Lists of Trained and Non-Trained Words

ERIC Educational Resources Information Center

Frost, Jørgen; Ottem, Ernst; Hagtvet, Bente E.; Snow, Catherine E.

2016-01-01

In the present study, 81 Norwegian students were taught the meaning of words by the Word Generation (WG) method and 51 Norwegian students were taught by an approach inspired by the Thinking Schools (TS) concept. Two sets of words were used: a set of words to be trained and a set of non-trained control words. The two teaching methods yielded no…

Crime Solving Techniques: Training Bulletin.

ERIC Educational Resources Information Center

Sands, Jack M.

The document is a training bulletin for criminal investigators, explaining the use of probability, logic, lateral thinking, group problem solving, and psychological profiles as methods of solving crimes. One chpater of several pages is devoted to each of the five methods. The use of each method is explained; problems are presented for the user to…

Medical School Research Pipeline: Medical Student Research Experience in Psychiatry

ERIC Educational Resources Information Center

Balon, Richard; Heninger, George; Belitsky, Richard

2006-01-01

Objective: The authors discuss the importance of introducing research training in psychiatry and neurosciences to medical students. Methods: A review of existing models of research training in psychiatry with focus on those providing research training to medical students is presented. Results: Two research-training models for medical students that…

24 CFR 904.205 - Training methodology.

Code of Federal Regulations, 2010 CFR

2010-04-01

... DEVELOPMENT LOW RENT HOUSING HOMEOWNERSHIP OPPORTUNITIES Homeownership Counseling and Training § 904.205... training methodology. Because groups vary, there should be adaptability in the communication and learning experience. Methods to be utilized may include group presentations, small discussion groups, special classes...

Kinematic precision of gear trains

NASA Technical Reports Server (NTRS)

Litvin, F. L.; Goldrich, R. N.; Coy, J. J.; Zaretsky, E. V.

1983-01-01

Kinematic precision is affected by errors which are the result of either intentional adjustments or accidental defects in manufacturing and assembly of gear trains. A method for the determination of kinematic precision of gear trains is described. The method is based on the exact kinematic relations for the contact point motions of the gear tooth surfaces under the influence of errors. An approximate method is also explained. Example applications of the general approximate methods are demonstrated for gear trains consisting of involute (spur and helical) gears, circular arc (Wildhaber-Novikov) gears, and spiral bevel gears. Gear noise measurements from a helicopter transmission are presented and discussed with relation to the kinematic precision theory. Previously announced in STAR as N82-32733

Dealing with contaminated datasets: An approach to classifier training

NASA Astrophysics Data System (ADS)

Homenda, Wladyslaw; Jastrzebska, Agnieszka; Rybnik, Mariusz

2016-06-01

The paper presents a novel approach to classification reinforced with rejection mechanism. The method is based on a two-tier set of classifiers. First layer classifies elements, second layer separates native elements from foreign ones in each distinguished class. The key novelty presented here is rejection mechanism training scheme according to the philosophy "one-against-all-other-classes". Proposed method was tested in an empirical study of handwritten digits recognition.

Comparing the Effect of Thinking Maps Training Package Developed by the Thinking Maps Method on the Reading Performance of Dyslexic Students.

PubMed

Faramarzi, Salar; Moradi, Mohammadreza; Abedi, Ahmad

2018-06-01

The present study aimed to develop the thinking maps training package and compare its training effect with the thinking maps method on the reading performance of second and fifth grade of elementary school male dyslexic students. For this mixed method exploratory study, from among the above mentioned grades' students in Isfahan, 90 students who met the inclusion criteria were selected by multistage sampling and randomly assigned into six experimental and control groups. The data were collected by reading and dyslexia test and Wechsler Intelligence Scale for Children-fourth edition. The results of covariance analysis indicated a significant difference between the reading performance of the experimental (thinking maps training package and thinking maps method groups) and control groups ([Formula: see text]). Moreover, there were significant differences between the thinking maps training package group and thinking maps method group in some of the subtests ([Formula: see text]). It can be concluded that thinking maps training package and the thinking maps method exert a positive influence on the reading performance of dyslexic students; therefore, thinking maps can be used as an effective training and treatment method.

Extracting information in spike time patterns with wavelets and information theory.

PubMed

Lopes-dos-Santos, Vítor; Panzeri, Stefano; Kayser, Christoph; Diamond, Mathew E; Quian Quiroga, Rodrigo

2015-02-01

We present a new method to assess the information carried by temporal patterns in spike trains. The method first performs a wavelet decomposition of the spike trains, then uses Shannon information to select a subset of coefficients carrying information, and finally assesses timing information in terms of decoding performance: the ability to identify the presented stimuli from spike train patterns. We show that the method allows: 1) a robust assessment of the information carried by spike time patterns even when this is distributed across multiple time scales and time points; 2) an effective denoising of the raster plots that improves the estimate of stimulus tuning of spike trains; and 3) an assessment of the information carried by temporally coordinated spikes across neurons. Using simulated data, we demonstrate that the Wavelet-Information (WI) method performs better and is more robust to spike time-jitter, background noise, and sample size than well-established approaches, such as principal component analysis, direct estimates of information from digitized spike trains, or a metric-based method. Furthermore, when applied to real spike trains from monkey auditory cortex and from rat barrel cortex, the WI method allows extracting larger amounts of spike timing information. Importantly, the fact that the WI method incorporates multiple time scales makes it robust to the choice of partly arbitrary parameters such as temporal resolution, response window length, number of response features considered, and the number of available trials. These results highlight the potential of the proposed method for accurate and objective assessments of how spike timing encodes information. Copyright © 2015 the American Physiological Society.

Training Staff to Implement Brief Stimulus Preference Assessments

ERIC Educational Resources Information Center

Weldy, Christina R.; Rapp, John T.; Capocasa, Kelli

2014-01-01

We trained 9 behavioral staff members to conduct 2 brief preference assessments using 30-min video presentations that contained instructions and modeling. After training, we evaluated each staff member's implementation of the assessments in situ. Results indicated that 1 or 2 training sessions for each method were sufficient for teaching each…

Focused didactic training for skills lab student tutors - which techniques are considered helpful?

PubMed

Heni, Martin; Lammerding-Köppel, Maria; Celebi, Nora; Shiozawa, Thomas; Riessen, Reimer; Nikendei, Christoph; Weyrich, Peter

2012-01-01

Peer-assisted learning is widely used in medical education. However, little is known about an appropriate didactic preparation for peer tutors. We herein describe the development of a focused didactic training for skills lab tutors in Internal Medicine and report on a retrospective survey about the student tutors' acceptance and the perceived transferability of attended didactic training modules. The course consisted of five training modules: 1. 'How to present and explain effectively': the student tutors had to give a short presentation with subsequent video analysis and feedback in order to learn methods of effective presentation. 2. 'How to explain precisely': Precise explanation techniques were trained by exercises of exact description of geometric figures and group feedback. 3. 'How to explain on impulse': Spontaneous teaching presentations were simulated and feedback was given. 4. 'Peyton's 4 Step Approach': Peyton's Method for explanation of practical skills was introduced and trained by the participants. 5. 'How to deal with critical incidents': Possibilities to deal with critical teaching situations were worked out in group sessions. Twenty-three student tutors participated in the retrospective survey by filling out an electronic questionnaire, after at least 6 months of teaching experience. The exercise 'How to present and explain effectively' received the student tutors' highest rating for their improvement of didactic qualification and was seen to be most easily transferable into the skills lab environment. This module was rated as the most effective module by nearly half of the participants. It was followed by 'Peyton's 4 Step Approach' , though it was also seen to be the most delicate method in regard to its transfer into the skills lab owing to time concerns. However, it was considered to be highly effective. The other modules received lesser votes by the tutors as the most helpful exercise in improving their didactic qualification for skills lab teaching. We herein present a pilot concept for a focused didactic training of peer tutors and present results of a retrospective survey among our skills lab tutors about the distinct training modules. This report might help other faculties to design didactic courses for skills lab student tutors.

Data Processing: Fifteen Suggestions for Computer Training in Your Business Education Classes.

ERIC Educational Resources Information Center

Barr, Lowell L.

1980-01-01

Presents 15 suggestions for training business education students in the use of computers. Suggestions involve computer language, method of presentation, laboratory time, programing assignments, instructions and handouts, problem solving, deadlines, reviews, programming concepts, programming logic, documentation, and defensive programming. (CT)

Training practices of cell processing laboratory staff: analysis of a survey by the Alliance for Harmonization of Cellular Therapy Accreditation.

PubMed

Keever-Taylor, Carolyn A; Slaper-Cortenbach, Ineke; Celluzzi, Christina; Loper, Kathy; Aljurf, Mahmoud; Schwartz, Joseph; Mcgrath, Eoin; Eldridge, Paul

2015-12-01

Methods for processing products used for hematopoietic progenitor cell (HPC) transplantation must ensure their safety and efficacy. Personnel training and ongoing competency assessment is critical to this goal. Here we present results from a global survey of methods used by a diverse array of cell processing facilities for the initial training and ongoing competency assessment of key personnel. The Alliance for Harmonisation of Cellular Therapy Accreditation (AHCTA) created a survey to identify facility type, location, activity, personnel, and methods used for training and competency. A survey link was disseminated through organizations represented in AHCTA to processing facilities worldwide. Responses were tabulated and analyzed as a percentage of total responses and as a percentage of response by region group. Most facilities were based at academic medical centers or hospitals. Facilities with a broad range of activity, product sources and processing procedures were represented. Facilities reported using a combination of training and competency methods. However, some methods predominated. Cellular sources for training differed for training versus competency and also differed based on frequency of procedures performed. Most facilities had responsibilities for procedures in addition to processing for which training and competency methods differed. Although regional variation was observed, training and competency requirements were generally consistent. Survey data showed the use of a variety of training and competency methods but some methods predominated, suggesting their utility. These results could help new and established facilities in making decisions for their own training and competency programs. Copyright © 2015 International Society for Cellular Therapy. Published by Elsevier Inc. All rights reserved.

Training Requirements and Curriculum Content for Primary Care Providers Delivering Preventive Oral Health Services to Children Enrolled in Medicaid.

PubMed

Sams, Lattice D; Rozier, R Gary; Quinonez, Rocio B

2016-07-01

Despite the emphasis on delivery of preventive oral health services in non-dental settings, limited information exists about state Medicaid policies and strategies to educate practicing physicians in the delivery of these services. This study aims to determine: (1) training requirements and policies for reimbursement of oral health services, (2) teaching delivery methods used to train physicians, and (3) curricula content available to providers among states that reimburse non-dental providers for oral health services. Using Web-based Internet searches as the primary data source, and a supplemental e-mail survey of all states offering in-person training, we assessed training requirements, methods of delivery for training, and curriculum content for states with Medicaid reimbursement to primary care providers delivering preventive oral health services. RESULTS of descriptive analyses are presented for information collected and updated in 2014. Forty-two states provide training sessions or resources to providers, 34 requiring provider training before reimbursement for oral health services. Web-based training is the most common CME delivery method. Only small differences in curricular content were reported by the 11 states that use in-person didactic sessions as the delivery method. Although we found that most states require training and curricular content is similar, training was most often delivered using Web-based courses without any additional delivery methods. Research is needed to evaluate the impact of a mixture of training methods and other quality improvement methods on increased adoption and implementation of preventive oral health services in medical practices.

Supervisors with Micros: Trends and Training Needs.

ERIC Educational Resources Information Center

Bryan, Leslie A., Jr.

1986-01-01

Results of a study conducted by Purdue University concerning the use of computers by supervisors in manufacturing firms are presented and discussed. Examines access to computers, minicomputers versus mainframes, training time on computers, replacement of staff, creation of personnel problems, and training methods. (CT)

GEOPHYSICS, ASTRONOMY AND ASTROPHYSICS: Numerical method of studying nonlinear interactions between long waves and multiple short waves

NASA Astrophysics Data System (ADS)

Xie, Tao; Kuang, Hai-Lan; William, Perrie; Zou, Guang-Hui; Nan, Cheng-Feng; He, Chao; Shen, Tao; Chen, Wei

2009-07-01

Although the nonlinear interactions between a single short gravity wave and a long wave can be solved analytically, the solution is less tractable in more general cases involving multiple short waves. In this work we present a numerical method of studying nonlinear interactions between a long wave and multiple short harmonic waves in infinitely deep water. Specifically, this method is applied to the calculation of the temporal and spatial evolutions of the surface elevations in which a given long wave interacts with several short harmonic waves. Another important application of our method is to quantitatively analyse the nonlinear interactions between an arbitrary short wave train and another short wave train. From simulation results, we obtain that the mechanism for the nonlinear interactions between one short wave train and another short wave train (expressed as wave train 2) leads to the energy focusing of the other short wave train (expressed as wave train 3). This mechanism occurs on wave components with a narrow frequency bandwidth, whose frequencies are near that of wave train 3.

What if Best Practice Is Too Expensive? Feedback on Oral Presentations and Efficient Use of Resources

ERIC Educational Resources Information Center

Leger, Lawrence A.; Glass, Karligash; Katsiampa, Paraskevi; Liu, Shibo; Sirichand, Kavita

2017-01-01

We evaluate feedback methods for oral presentations used in training non-quantitative research skills (literature review and various associated tasks). Training is provided through a credit-bearing module taught to MSc students of banking, economics and finance in the UK. Monitoring oral presentations and providing "best practice"…

Using Evaluation To Build Organizational Performance and Learning Capability: A Strategy and a Method.

ERIC Educational Resources Information Center

Brinkerhoff, Robert O.; Dressler, Dennis

2002-01-01

Discusses the causes of variability of training impact and problems with previous models for evaluation of training. Presents the Success Case Evaluation approach as a way to measure the impact of training and build learning capability to increase the business value of training by focusing on a small number of trainees. (Author/LRW)

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.

Evaluating the Effectiveness of Traditional Training Methods in Non-Traditional Training Programs for Adult Learners through a Pre-Test/Post-Test Comparison of Food Safety Knowledge

ERIC Educational Resources Information Center

Dodd, Caleb D.; Burris, Scott; Fraze, Steve; Doerfert, David; McCulloch, Abigail

2013-01-01

The incorporation of hot and cold food bars into grocery stores in an effort to capture a portion of the home meal replacement industry is presenting new challenges for retail food establishments. To ensure retail success and customer safety, employees need to be educated in food safety practices. Traditional methods of training are not meeting…

The Effect of Laboratory Training Model of Teaching and Traditional Method on Knowledge, Comprehension, Application, Skills-Components of Achievement, Total Achievement and Retention Level in Chemistry

ERIC Educational Resources Information Center

Badeleh, Alireza

2011-01-01

The present study aimed at finding the effectiveness of the Laboratory Training Model of Teaching (LTM) and comparing it with the traditional methods of teaching chemistry to seventh standard students. It strived to determine whether the (LTM) method in chemistry would be significantly more effective than the Traditional method in respect to the…

Statistical technique for analysing functional connectivity of multiple spike trains.

PubMed

Masud, Mohammad Shahed; Borisyuk, Roman

2011-03-15

A new statistical technique, the Cox method, used for analysing functional connectivity of simultaneously recorded multiple spike trains is presented. This method is based on the theory of modulated renewal processes and it estimates a vector of influence strengths from multiple spike trains (called reference trains) to the selected (target) spike train. Selecting another target spike train and repeating the calculation of the influence strengths from the reference spike trains enables researchers to find all functional connections among multiple spike trains. In order to study functional connectivity an "influence function" is identified. This function recognises the specificity of neuronal interactions and reflects the dynamics of postsynaptic potential. In comparison to existing techniques, the Cox method has the following advantages: it does not use bins (binless method); it is applicable to cases where the sample size is small; it is sufficiently sensitive such that it estimates weak influences; it supports the simultaneous analysis of multiple influences; it is able to identify a correct connectivity scheme in difficult cases of "common source" or "indirect" connectivity. The Cox method has been thoroughly tested using multiple sets of data generated by the neural network model of the leaky integrate and fire neurons with a prescribed architecture of connections. The results suggest that this method is highly successful for analysing functional connectivity of simultaneously recorded multiple spike trains. Copyright © 2011 Elsevier B.V. All rights reserved.

National Apprenticeship and Training Standards for Dental Technicians. Revised.

ERIC Educational Resources Information Center

National Association of Dental Labs., Inc., Washington, DC.

The guidebook presents a systematic and uniform method for training dental technicians throughout the industry, incorporating basic standards recommended by the Bureau of Apprenticeship and Training. The first section defines terminology and establishes rules and regulations regarding apprentices and apprenticeship programs in 16 areas, including…

Strength Training. Rationale for Current Guidelines for Adult Fitness Programs.

ERIC Educational Resources Information Center

Feigenbaum, Matthew S.; Pollock, Michael L.

1997-01-01

Strength training is an effective method of developing musculoskeletal strength and is often prescribed for fitness, health, and for prevention and rehabilitation of orthopedic injuries. This paper describes and presents a rationale for the population-specific strength training guidelines established by major health organizations. (SM)

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

PubMed Central

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

2016-01-01

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

Self-regulation method: psychological, physiological and clinical considerations. An overview.

PubMed

Ikemi, A; Tomita, S; Kuroda, M; Hayashida, Y; Ikemi, Y

1986-01-01

Body-oriented therapies as relaxation training and certain forms of meditation are gaining popularity in the treatment and prevention of psychosomatic disorders. In this paper, a new method of self-control called self-regulation method (SRM), derived from autogenic training and Zen meditation, is presented. The technique of SRM is introduced. Secondly, physiological studies on SRM using skin temperature, galvanic skin response, and cortical evoked potentials are presented. Thirdly, the results of psychological tests conducted on SRM are presented. These psycho-physiological studies suggest that SRM may elicit a state of 'relaxed alertness'. Fourthly, clinical applications of SRM are discussed, and 3 cases are presented. Finally, SRM is discussed in relation to the psychology and physiology of 'relaxed alertness'.

Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

PubMed

Wu, Haizhou; Zhou, Yongquan; Luo, Qifang; Basset, Mohamed Abdel

2016-01-01

Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a challenging task to present a satisfactory and efficient training algorithm for feedforward neural networks (FNNs). In this paper, SOS is employed as a new method for training FNNs. To investigate the performance of the aforementioned method, eight different datasets selected from the UCI machine learning repository are employed for experiment and the results are compared among seven metaheuristic algorithms. The results show that SOS performs better than other algorithms for training FNNs in terms of converging speed. It is also proven that an FNN trained by the method of SOS has better accuracy than most algorithms compared.

Autogenic-Feedback Training Exercise (AFTE) Method and System

NASA Technical Reports Server (NTRS)

Cowings, Patricia S. (Inventor)

1997-01-01

The Autogenic-Feedback Training Exercise (AFTE) method of the present invention is a combined application of physiologic and perceptual training techniques. such as autogenic therapy and biofeedback. This combined therapy approach produces a methodology that is appreciably more effective than either of the individual techniques used separately. The AFTE method enables sufficient magnitude of control necessary to significantly reduce the behavioral and physiologic reactions to severe environmental stressors. It produces learned effects that are persistent over time and are resistant to extinction and it can be administered in a short period of time. The AFTE method may be used efficiently in several applications, among which are the following: to improve pilot and crew performance during emergency flying conditions; to train people to prevent the occurrence of nausea and vomiting associated with motion and sea sickness, or morning sickness in early pregnancy; as a training method for preventing or counteracting air-sickness symptoms in high-performance military aircraft; for use as a method for cardiovascular training, as well as for multiple other autonomic responses, which may contribute to the alleviation of Space Motion Sickness (SMS) in astronauts and cosmonauts; training people suffering from migraine or tension headaches to control peripheral blood flow and reduce forehead and/or trapezius muscle tension; training elderly people suffering from fecal incontinence to control their sphincter muscles; training cancer patients to reduce the nauseagenic effects of chemotherapy; and training patients with Chronic Intestinal Pseudo-obstruction (CIP).

TRAINING METHODS FOR OLDER WORKERS. EMPLOYMENT OF OLDER WORKERS, 2.

ERIC Educational Resources Information Center

BELBIN, R.M.

A SURVEY WAS PRESENTED OF SCIENTIFIC KNOWLEDGE ON AGE CHANGES IN HUMAN CAPACITIES, ESPECIALLY IN LEARNING ABILITY AND ADAPTABILITY, AND DESCRIBED VARIOUS METHODS USED TO TRAIN WORKERS OVER 40. THE ROLE OF MEMORY, MOTIVATION, RIGIDITY, AND INTELLIGENCE IN DETERMINING THE LEARNING EFFICIENCY OF MATURE ADULTS WAS ASSESSED, ALSO DIFFICULTIES CAUSED BY…

The Use of Qualitative Case Studies as an Experiential Teaching Method in the Training of Pre-Service Teachers

ERIC Educational Resources Information Center

Arseven, Ilhami

2018-01-01

This study presents the suitability of case studies, which is a qualitative research method and can be used as a teaching method in the training of pre-service teachers, for experiential learning theory. The basic view of experiential learning theory on learning and the qualitative case study paradigm are consistent with each other within the…

Employers' Use and Views of the VET System 2017. Australian Vocational Education and Training Statistics

ERIC Educational Resources Information Center

National Centre for Vocational Education Research (NCVER), 2017

2017-01-01

This publication presents information on employers' use and views of the vocational education and training (VET) system. The findings relate to the various ways in which Australian employers use the VET system and unaccredited training to meet their skill needs, and their satisfaction with these methods of training. Australian employers can engage…

Terrorism-preparedness training for non-clinical hospital workers: tailoring content and presentation to meet workers' needs.

PubMed

Thorne, Craig D; Oliver, Marc; Al-Ibrahim, Mohamed; Gucer, Patricia W; McDiarmid, Melissa A

2004-07-01

Clinicians have been the primary focus of health care worker training in response to the 2001 terrorist and anthrax attacks. However, many nonclinical hospital workers also are critical in providing medical care during any large-scale emergency. We designed a training program, guided by focus groups, to provide them with information to recognize unusual events and to protect themselves. We compared four different training methods: workbook, video, lecture, and a small-group discussion. One hundred and ninety-one workers participated. After the training, they were more confident in their employer's preparedness to respond to a terrorist attack but specific knowledge did not change substantially. Fortunately, the self-directed workbook (the more economical and least disruptive method) was as effective as the other methods. Our experience may be useful to others who are planning terrorism-preparedness training programs.

Wyoming Institute on Foreign TA Training. Working Papers, Volume I.

ERIC Educational Resources Information Center

Constantinides, Janet C., Ed.

This document presents 11 papers that consider the problems and opportunities relating to the design and implementation of training programs for foreign teaching assistants (FTAs): "Academic Sub-cultures within U.S. Higher Education: Implications for FTA Training of Differences in Teaching Styles and Methods" (Patricia Byrd); "Cross-cultural…

Psychiatry Residency Education in Canada: Past, Present and Future

ERIC Educational Resources Information Center

Saperson, Karen

2013-01-01

Objective: This article provides a brief overview of the history of psychiatry residency training in Canada,and outlines the rationale for the current training requirements, changes to the final certification examination,and factors influencing future trends in psychiatry education and training. Method: The author compiled findings and reports on…

Parenting Training for Intellectually Disabled Parents: A Cochrane Systematic Review

ERIC Educational Resources Information Center

Coren, Esther; Thomae, Manuela; Hutchfield, Jemeela

2011-01-01

Objectives: This article presents a Cochrane/Campbell systematic review of the evidence on the effect of parent training to support the parenting of parents with intellectual disabilities. Method: Randomized controlled trials (RCTs) comparing parent training interventions for parents with intellectual disability with usual care or with a control…

Segmentation of knee cartilage by using a hierarchical active shape model based on multi-resolution transforms in magnetic resonance images

NASA Astrophysics Data System (ADS)

León, Madeleine; Escalante-Ramirez, Boris

2013-11-01

Knee osteoarthritis (OA) is characterized by the morphological degeneration of cartilage. Efficient segmentation of cartilage is important for cartilage damage diagnosis and to support therapeutic responses. We present a method for knee cartilage segmentation in magnetic resonance images (MRI). Our method incorporates the Hermite Transform to obtain a hierarchical decomposition of contours which describe knee cartilage shapes. Then, we compute a statistical model of the contour of interest from a set of training images. Thereby, our Hierarchical Active Shape Model (HASM) captures a large range of shape variability even from a small group of training samples, improving segmentation accuracy. The method was trained with a training set of 16- MRI of knee and tested with leave-one-out method.

Training and capacity building evaluation: Maximizing resources and results with Success Case Method.

PubMed

Medina, L; Acosta-Pérez, E; Velez, C; Martínez, G; Rivera, M; Sardiñas, L; Pattatucci, A

2015-10-01

This article describes the use of Success Case Method (Brinkerhoff, 2003) to evaluate health promotion and public health training programs. The goal of the Office Community Research and Engagement (OCRE) of the Puerto Rico Clinical and Translational Research Consortium (PRCTRC) is to establish a stable and sustainable translational research capacity. Early efforts toward achieving this goal included sponsoring two independent research training programs. A description of the implementation of the five step Success Case Method is presented. Results reveal that SCM would deem both trainings as highly successful, based upon the overall impact of a low number of success cases. However, a traditional summative evaluation would consider this disappointing. Strengths of SCM are discussed. It was concluded that the Success Case Method is a useful and valuable evaluative method for measuring the success of health promotion and public health training initiatives and provides sufficient information for decision-making processes. Copyright © 2015 Elsevier Ltd. All rights reserved.

Convolutional neural network with transfer learning for rice type classification

NASA Astrophysics Data System (ADS)

Patel, Vaibhav Amit; Joshi, Manjunath V.

2018-04-01

Presently, rice type is identified manually by humans, which is time consuming and error prone. Therefore, there is a need to do this by machine which makes it faster with greater accuracy. This paper proposes a deep learning based method for classification of rice types. We propose two methods to classify the rice types. In the first method, we train a deep convolutional neural network (CNN) using the given segmented rice images. In the second method, we train a combination of a pretrained VGG16 network and the proposed method, while using transfer learning in which the weights of a pretrained network are used to achieve better accuracy. Our approach can also be used for classification of rice grain as broken or fine. We train a 5-class model for classifying rice types using 4000 training images and another 2- class model for the classification of broken and normal rice using 1600 training images. We observe that despite having distinct rice images, our architecture, pretrained on ImageNet data boosts classification accuracy significantly.

Advancing hypoxic training in team sports: from intermittent hypoxic training to repeated sprint training in hypoxia.

PubMed

Faiss, Raphaël; Girard, Olivier; Millet, Grégoire P

2013-12-01

Over the past two decades, intermittent hypoxic training (IHT), that is, a method where athletes live at or near sea level but train under hypoxic conditions, has gained unprecedented popularity. By adding the stress of hypoxia during 'aerobic' or 'anaerobic' interval training, it is believed that IHT would potentiate greater performance improvements compared to similar training at sea level. A thorough analysis of studies including IHT, however, leads to strikingly poor benefits for sea-level performance improvement, compared to the same training method performed in normoxia. Despite the positive molecular adaptations observed after various IHT modalities, the characteristics of optimal training stimulus in hypoxia are still unclear and their functional translation in terms of whole-body performance enhancement is minimal. To overcome some of the inherent limitations of IHT (lower training stimulus due to hypoxia), recent studies have successfully investigated a new training method based on the repetition of short (<30 s) 'all-out' sprints with incomplete recoveries in hypoxia, the so-called repeated sprint training in hypoxia (RSH). The aims of the present review are therefore threefold: first, to summarise the main mechanisms for interval training and repeated sprint training in normoxia. Second, to critically analyse the results of the studies involving high-intensity exercises performed in hypoxia for sea-level performance enhancement by differentiating IHT and RSH. Third, to discuss the potential mechanisms underpinning the effectiveness of those methods, and their inherent limitations, along with the new research avenues surrounding this topic.

An Evolutionary Optimization Framework for Neural Networks and Neuromorphic Architectures

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

Schuman, Catherine D; Plank, James; Disney, Adam

2016-01-01

As new neural network and neuromorphic architectures are being developed, new training methods that operate within the constraints of the new architectures are required. Evolutionary optimization (EO) is a convenient training method for new architectures. In this work, we review a spiking neural network architecture and a neuromorphic architecture, and we describe an EO training framework for these architectures. We present the results of this training framework on four classification data sets and compare those results to other neural network and neuromorphic implementations. We also discuss how this EO framework may be extended to other architectures.

Enterprise infocommunication infrastructure in training of IT-professionals

NASA Astrophysics Data System (ADS)

Eminov, F. I.; Golitsyna, I. N.; Eminov, B. F.

2018-05-01

The paper presents the enterprise infocommunication infrastructure and its management features as the influenced factors to the training of IT-professionals within the traditional educational process. The paper presents how the educational content of modern IT specialists can be developed on the basis of the infocommunication infrastructure of a modern enterprise and the interdisciplinary connections. Such approach needs to develop special forms and methods of training, adapted to the level of development of the professional environment of IT professionals.

Phantom-based interactive simulation system for dental treatment training.

PubMed

Sae-Kee, Bundit; Riener, Robert; Frey, Martin; Pröll, Thomas; Burgkart, Rainer

2004-01-01

In this paper, we propose a new interactive simulation system for dental treatment training. The system comprises a virtual reality environment and a force-torque measuring device to enhance the capabilities of a passive phantom of tooth anatomy in dental treatment training processes. The measuring device is connected to the phantom, and provides essential input data for generating the graphic animations of physical behaviors such as drilling and bleeding. The animation methods of those physical behaviors are also presented. This system is not only able to enhance interactivity and accessibility of the training system compared to conventional methods but it also provides possibilities of recording, evaluating, and verifying the training results.

3D liver volume reconstructed for palpation training.

PubMed

Tibamoso, Gerardo; Perez-Gutierrez, Byron; Uribe-Quevedo, Alvaro

2013-01-01

Virtual Reality systems for medical procedures such as the palpation of different organs, requires fast, robust, accurate and reliable computational methods for providing realism during interaction with the 3D biological models. This paper presents the segmentation, reconstruction and palpation simulation of a healthy liver volume as a tool for training. The chosen method considers the mechanical characteristics and liver properties for correctly simulating palpation interactions, which results appropriate as a complementary tool for training medical students in familiarizing with the liver anatomy.

Objective and subjective methods for quantifying training load in wheelchair basketball small-sided games.

PubMed

Iturricastillo, Aitor; Granados, Cristina; Los Arcos, Asier; Yanci, Javier

2017-04-01

The aim of the present study was to analyse the training load in wheelchair basketball small-sided games and determine the relationship between heart rate (HR)-based training load and perceived exertion (RPE)-based training load methods among small-sided games bouts. HR-based measurements of training load included Edwards' training load and Stagno's training impulses (TRIMP MOD ) while RPE-based training load measurements included cardiopulmonary (session RPEres) and muscular (session RPEmus) values. Data were collected from 12 wheelchair basketball players during five consecutive weeks. The total load for the small-sided games sessions was 67.5 ± 6.7 and 55.3 ± 12.5 AU in HR-based training load (Edwards' training load and TRIMP MOD ), while the RPE-based training loads were 99.3 ± 26.9 (session RPEres) and 100.8 ± 31.2 AU (session RPEmus). Bout-to-bout analysis identified greater session RPEmus in the third [P < 0.05; effect size (ES) = 0.66, moderate] and fourth bouts (P < 0.05; ES = 0.64, moderate) than in the first bout, but other measures did not differ. Mean correlations indicated a trivial and small relationship among HR-based and RPE-based training loads. It is suggested that HR-based and RPE-based training loads provide different information, but these two methods could be complementary because one method could help us to understand the limitations of the other.

AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling.

PubMed

Wang, Sheng; Sun, Siqi; Xu, Jinbo

2016-09-01

Deep Convolutional Neural Networks (DCNN) has shown excellent performance in a variety of machine learning tasks. This paper presents Deep Convolutional Neural Fields (DeepCNF), an integration of DCNN with Conditional Random Field (CRF), for sequence labeling with an imbalanced label distribution. The widely-used training methods, such as maximum-likelihood and maximum labelwise accuracy, do not work well on imbalanced data. To handle this, we present a new training algorithm called maximum-AUC for DeepCNF. That is, we train DeepCNF by directly maximizing the empirical Area Under the ROC Curve (AUC), which is an unbiased measurement for imbalanced data. To fulfill this, we formulate AUC in a pairwise ranking framework, approximate it by a polynomial function and then apply a gradient-based procedure to optimize it. Our experimental results confirm that maximum-AUC greatly outperforms the other two training methods on 8-state secondary structure prediction and disorder prediction since their label distributions are highly imbalanced and also has similar performance as the other two training methods on solvent accessibility prediction, which has three equally-distributed labels. Furthermore, our experimental results show that our AUC-trained DeepCNF models greatly outperform existing popular predictors of these three tasks. The data and software related to this paper are available at https://github.com/realbigws/DeepCNF_AUC.

AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling

PubMed Central

Wang, Sheng; Sun, Siqi

2017-01-01

Deep Convolutional Neural Networks (DCNN) has shown excellent performance in a variety of machine learning tasks. This paper presents Deep Convolutional Neural Fields (DeepCNF), an integration of DCNN with Conditional Random Field (CRF), for sequence labeling with an imbalanced label distribution. The widely-used training methods, such as maximum-likelihood and maximum labelwise accuracy, do not work well on imbalanced data. To handle this, we present a new training algorithm called maximum-AUC for DeepCNF. That is, we train DeepCNF by directly maximizing the empirical Area Under the ROC Curve (AUC), which is an unbiased measurement for imbalanced data. To fulfill this, we formulate AUC in a pairwise ranking framework, approximate it by a polynomial function and then apply a gradient-based procedure to optimize it. Our experimental results confirm that maximum-AUC greatly outperforms the other two training methods on 8-state secondary structure prediction and disorder prediction since their label distributions are highly imbalanced and also has similar performance as the other two training methods on solvent accessibility prediction, which has three equally-distributed labels. Furthermore, our experimental results show that our AUC-trained DeepCNF models greatly outperform existing popular predictors of these three tasks. The data and software related to this paper are available at https://github.com/realbigws/DeepCNF_AUC. PMID:28884168

Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm

PubMed Central

Wu, Haizhou; Luo, Qifang

2016-01-01

Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a challenging task to present a satisfactory and efficient training algorithm for feedforward neural networks (FNNs). In this paper, SOS is employed as a new method for training FNNs. To investigate the performance of the aforementioned method, eight different datasets selected from the UCI machine learning repository are employed for experiment and the results are compared among seven metaheuristic algorithms. The results show that SOS performs better than other algorithms for training FNNs in terms of converging speed. It is also proven that an FNN trained by the method of SOS has better accuracy than most algorithms compared. PMID:28105044

Measuring Assurance of Learning Goals: Effectiveness of Computer Training and Assessment Tools

ERIC Educational Resources Information Center

Murphy, Marianne C.; Sharma, Aditya; Rosso, Mark

2012-01-01

Teaching office applications such as word processing, spreadsheet and presentation skills has been widely debated regarding its necessity, extent and delivery method. Training and Assessment applications such as MyITLab, SAM, etc. are popular tools for training students and are particularly useful in measuring Assurance of Learning (AOL)…

Teaching Business Communication on the Production Line: A Case Study.

ERIC Educational Resources Information Center

Moore, Richard W.

1993-01-01

Analyzes the communication training received by over 4,000 workers as part of an effort to implement a team concept production system at a General Motors plant. Presents an overview of the team concept training. Discusses five barriers to effective training, four successful instructional methods, and implications for business communication. (RS)

Partnering through Training and Practice to Achieve Performance Improvement

ERIC Educational Resources Information Center

Lyons, Paul R.

2010-01-01

This article presents a partnership effort among managers, trainers, and employees to spring to life performance improvement using the performance templates (P-T) approach. P-T represents a process model as well as a method of training leading to performance improvement. Not only does it add to our repertoire of training and performance management…

What it takes to Fly in Space...Training to be an Astronaut and Daily Operations on ISS

NASA Technical Reports Server (NTRS)

Ham, Michelle

2009-01-01

This presentation highlights NASA requirements to become an astronaut, training astronauts must do to fly on the International Space Station (ISS), systems and other training, and day-to-day activities onboard ISS. Additionally, stowage, organization and methods of communication (email, video conferenceing, IP phone) are discussed.

Application of LSP Texts in Translator Training

ERIC Educational Resources Information Center

Ilynska, Larisa; Smirnova, Tatjana; Platonova, Marina

2017-01-01

The paper presents discussion of the results of extensive empirical research into efficient methods of educating and training translators of LSP (language for special purposes) texts. The methodology is based on using popular LSP texts in the respective fields as one of the main media for translator training. The aim of the paper is to investigate…

Implementation of team training in medical education in Denmark

PubMed Central

Ostergaard, H; Ostergaard, D; Lippert, A

2004-01-01

In the field of medicine, team training aiming at improving team skills such as leadership, communication, co-operation, and followership at the individual and the team level seems to reduce risk of serious events and therefore increase patient safety. The preferred educational method for this type of training is simulation. Team training is not, however, used routinely in the hospital. In this paper, we describe a framework for the development of a team training course based on need assessment, learning objectives, educational methods including full-scale simulation and evaluations strategies. The use of this framework is illustrated by the present multiprofessional team training in advanced cardiac life support, trauma team training and neonatal resuscitation in Denmark. The challenges of addressing all aspects of team skills, the education of the facilitators, and establishment of evaluation strategies to document the effect of the different types of training on patient safety are discussed. PMID:15465962

Implementation of team training in medical education in Denmark.

PubMed

Østergaard, H T; Østergaard, D; Lippert, A

2004-10-01

In the field of medicine, team training aiming at improving team skills such as leadership, communication, co-operation, and followership at the individual and the team level seems to reduce risk of serious events and therefore increase patient safety. The preferred educational method for this type of training is simulation. Team training is not, however, used routinely in the hospital. In this paper, we describe a framework for the development of a team training course based on need assessment, learning objectives, educational methods including full-scale simulation and evaluations strategies. The use of this framework is illustrated by the present multiprofessional team training in advanced cardiac life support, trauma team training and neonatal resuscitation in Denmark. The challenges of addressing all aspects of team skills, the education of the facilitators, and establishment of evaluation strategies to document the effect of the different types of training on patient safety are discussed.

Implementation of team training in medical education in Denmark.

PubMed

Østergaard, H T; Østergaard, D; Lippert, A

2008-10-01

In the field of medicine, team training aiming at improving team skills such as leadership, communication, co-operation, and followership at the individual and the team level seems to reduce risk of serious events and therefore increase patient safety. The preferred educational method for this type of training is simulation. Team training is not, however, used routinely in the hospital. In this paper, we describe a framework for the development of a team training course based on need assessment, learning objectives, educational methods including full-scale simulation and evaluations strategies. The use of this framework is illustrated by the present multiprofessional team training in advanced cardiac life support, trauma team training and neonatal resuscitation in Denmark. The challenges of addressing all aspects of team skills, the education of the facilitators, and establishment of evaluation strategies to document the effect of the different types of training on patient safety are discussed.

[KoMPASS--design, implementation and experiences concerning a structured communication skills training for physicians dealing with oncology].

PubMed

Vitinius, Frank; Sonntag, Bernd; Barthel, Yvette; Brennfleck, Barbara; Kuhnt, Susanne; Werner, Andreas; Schönefuß, Götz; Petermann-Meyer, Andrea; Gutberlet, Susanne; Stein, Barbara; Söllner, Wolfgang; Kruse, Johannes; Keller, Monika

2013-12-01

Goal of the KoMPASS project is to develop and test a training program that effectively improves oncologists' communication skills. The training draws with regard to concept, content and didactic methods to the specific challenges arising in interactions with cancer patients. Concept and didactical methods for an intensive training (KoMPASS Training) are being presented and complemented with experiences gathered during 39 trainings with 335 physicians, as well as findings from the training evaluation by participants. The participants' feedback after 4 months indicates successful transfer into clinical practice along with personal relief, improved self-efficacy, and communicative competencies. Even experienced practitioners ascribe high practical usefulness, and personal learning achievements to the KoMPASS training. The results of the concomitant study concerning self-efficacy, empathy, work-related stress and communicative competence will be published later. © Georg Thieme Verlag KG Stuttgart · New York.

Team Training (Training at Own Facility) versus Individual Surgeon's Training (Training at Trainer's Facility) When Implementing a New Surgical Technique: Example from the ONSTEP Inguinal Hernia Repair

PubMed Central

Laursen, Jannie

2014-01-01

Background. When implementing a new surgical technique, the best method for didactic learning has not been settled. There are basically two scenarios: the trainee goes to the teacher's clinic and learns the new technique hands-on, or the teacher goes to the trainee's clinic and performs the teaching there. Methods. An informal literature review was conducted to provide a basis for discussing pros and cons. We also wanted to discuss how many surgeons can be trained in a day and the importance of the demand for a new surgical procedure to ensure a high adoption rate and finally to apply these issues on a discussion of barriers for adoption of the new ONSTEP technique for inguinal hernia repair after initial training. Results and Conclusions. The optimal training method would include moving the teacher to the trainee's department to obtain team-training effects simultaneous with surgical technical training of the trainee surgeon. The training should also include a theoretical presentation and discussion along with the practical training. Importantly, the training visit should probably be followed by a scheduled visit to clear misunderstandings and fine-tune the technique after an initial self-learning period. PMID:25506078

Identifying developmental features in students' clinical reasoning to inform teaching.

PubMed

Pinnock, Ralph; Anakin, Megan; Lawrence, Julie; Chignell, Helen; Wilkinson, Tim

2018-04-27

There is increasing evidence that students at different levels of training may benefit from different methods of learning clinical reasoning. Two of the common methods of teaching are the "whole - case" format and the "serial cue" approach. There is little empirical evidence to guide teachers as to which method to use and when to introduce them. We observed 23 students from different stages of training to examine how they were taking a history and how they were thinking whilst doing this. Each student interviewed a simulated patient who presented with a straightforward and a complex presentation. We inferred how students were reasoning from how they took a history and how they described their thinking while doing this. Early in their training students can only take a generic history. Only later in training are they able to take a focused history, remember the information they have gathered, use it to seek further specific information, compare and contrast possibilities and analyze their data as they are collecting it. Early in their training students are unable to analyze data during history taking. When they have started developing illness scripts, they are able to benefit from the "serial cue" approach of teaching clinical reasoning.

ROOFN3D: Deep Learning Training Data for 3d Building Reconstruction

NASA Astrophysics Data System (ADS)

Wichmann, A.; Agoub, A.; Kada, M.

2018-05-01

Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they are able to provide state-of-the-art results for various tasks. However, the direct application of deep learning methods to improve the results of 3D building reconstruction is often not possible due, for example, to the lack of suitable training data. To address this issue, we present RoofN3D which provides a new 3D point cloud training dataset that can be used to train machine learning models for different tasks in the context of 3D building reconstruction. It can be used, among others, to train semantic segmentation networks or to learn the structure of buildings and the geometric model construction. Further details about RoofN3D and the developed data preparation framework, which enables the automatic derivation of training data, are described in this paper. Furthermore, we provide an overview of other available 3D point cloud training data and approaches from current literature in which solutions for the application of deep learning to unstructured and not gridded 3D point cloud data are presented.

Evaluating a Research Training Programme for People with Intellectual Disabilities Participating in Inclusive Research: The Views of Participants

ERIC Educational Resources Information Center

Fullana, Judit; Pallisera, Maria; Català, Elena; Puyalto, Carolina

2017-01-01

Background: This article presents the results of evaluating a research training programme aimed at developing the skills of people with intellectual disabilities to actively participate in inclusive research. Methods: The present authors opted for a responsive approach to evaluation, using a combination of interviews, questionnaires and focus…

History and future of human cadaver preservation for surgical training: from formalin to saturated salt solution method.

PubMed

Hayashi, Shogo; Naito, Munekazu; Kawata, Shinichi; Qu, Ning; Hatayama, Naoyuki; Hirai, Shuichi; Itoh, Masahiro

2016-01-01

Traditionally, surgical training meant on-the-job training with live patients in an operating room. However, due to advancing surgical techniques, such as minimally invasive surgery, and increasing safety demands during procedures, human cadavers have been used for surgical training. When considering the use of human cadavers for surgical training, one of the most important factors is their preservation. In this review, we summarize four preservation methods: fresh-frozen cadaver, formalin, Thiel's, and saturated salt solution methods. Fresh-frozen cadaver is currently the model that is closest to reality, but it also presents myriad problems, including the requirement of freezers for storage, limited work time because of rapid putrefaction, and risk of infection. Formalin is still used ubiquitously due to its low cost and wide availability, but it is not ideal because formaldehyde has an adverse health effect and formalin-embalmed cadavers do not exhibit many of the qualities of living organs. Thiel's method results in soft and flexible cadavers with almost natural colors, and Thiel-embalmed cadavers have been appraised widely in various medical disciplines. However, Thiel's method is relatively expensive and technically complicated. In addition, Thiel-embalmed cadavers have a limited dissection time. The saturated salt solution method is simple, carries a low risk of infection, and is relatively low cost. Although more research is needed, this method seems to be sufficiently useful for surgical training and has noteworthy features that expand the capability of clinical training. The saturated salt solution method will contribute to a wider use of cadavers for surgical training.

Advancing hypoxic training in team sports: from intermittent hypoxic training to repeated sprint training in hypoxia

PubMed Central

Faiss, Raphaël; Girard, Olivier; Millet, Grégoire P

2013-01-01

Over the past two decades, intermittent hypoxic training (IHT), that is, a method where athletes live at or near sea level but train under hypoxic conditions, has gained unprecedented popularity. By adding the stress of hypoxia during ‘aerobic’ or ‘anaerobic’ interval training, it is believed that IHT would potentiate greater performance improvements compared to similar training at sea level. A thorough analysis of studies including IHT, however, leads to strikingly poor benefits for sea-level performance improvement, compared to the same training method performed in normoxia. Despite the positive molecular adaptations observed after various IHT modalities, the characteristics of optimal training stimulus in hypoxia are still unclear and their functional translation in terms of whole-body performance enhancement is minimal. To overcome some of the inherent limitations of IHT (lower training stimulus due to hypoxia), recent studies have successfully investigated a new training method based on the repetition of short (<30 s) ‘all-out’ sprints with incomplete recoveries in hypoxia, the so-called repeated sprint training in hypoxia (RSH). The aims of the present review are therefore threefold: first, to summarise the main mechanisms for interval training and repeated sprint training in normoxia. Second, to critically analyse the results of the studies involving high-intensity exercises performed in hypoxia for sea-level performance enhancement by differentiating IHT and RSH. Third, to discuss the potential mechanisms underpinning the effectiveness of those methods, and their inherent limitations, along with the new research avenues surrounding this topic. PMID:24282207

Transportation research methods : a guide to searching for funding opportunities.

DOT National Transportation Integrated Search

2017-03-01

This project developed a training methodology focused on external funding. This hands-on training presented the basics of external funding identification, teambuilding and collaborative partners, and proposal element design. Real-time searches and tu...

Exposing Clinicians to Exposure: A Randomized Controlled Dissemination Trial of Exposure Therapy for Anxiety Disorders

PubMed Central

Harned, Melanie S.; Dimeff, Linda A.; Woodcock, Eric A.; Kelly, Tim; Zavertnik, Jake; Contreras, Ignacio; Danner, Sankirtana M.

2014-01-01

Objective The present study evaluated three technology-based methods of training mental health providers in exposure therapy (ET) for anxiety disorders. Training methods were designed to address common barriers to the dissemination of ET, including limited access to training, negative clinician attitudes toward ET, and lack of support during and following training. Method Clinicians naïve to ET (N=181, Mage = 37.4, 71.3% female, 72.1% Caucasian) were randomly assigned to: 1) an interactive, multimedia online training (OLT), 2) OLT plus a brief, computerized motivational enhancement intervention (OLT+ME), or 3) OLT + ME plus a web-based learning community (OLT+ME+LC). Assessments were completed at baseline, post-training, and 6 and 12 weeks following training. Outcomes include satisfaction, knowledge, self-efficacy, attitudes, self-reported clinical use, and observer-rated clinical proficiency. Results All three training methods led to large and comparable improvements in self-efficacy and clinical use of ET, indicating that OLT alone was sufficient for improving these outcomes. The addition of the ME intervention did not significantly improve outcomes in comparison to OLT alone. Supplementing the OLT with both the ME intervention and the LC significantly improved attitudes and clinical proficiency in comparison to OLT alone. The OLT+ME+LC condition was superior to both other conditions in increasing knowledge of ET. Conclusions Multi-component trainings that address multiple potential barriers to dissemination appear to be most effective in improving clinician outcomes. Technology-based training methods offer a satisfactory, effective, and scalable way to train mental health providers in evidence-based treatments such as ET. PMID:25311284

Train axle bearing fault detection using a feature selection scheme based multi-scale morphological filter

NASA Astrophysics Data System (ADS)

Li, Yifan; Liang, Xihui; Lin, Jianhui; Chen, Yuejian; Liu, Jianxin

2018-02-01

This paper presents a novel signal processing scheme, feature selection based multi-scale morphological filter (MMF), for train axle bearing fault detection. In this scheme, more than 30 feature indicators of vibration signals are calculated for axle bearings with different conditions and the features which can reflect fault characteristics more effectively and representatively are selected using the max-relevance and min-redundancy principle. Then, a filtering scale selection approach for MMF based on feature selection and grey relational analysis is proposed. The feature selection based MMF method is tested on diagnosis of artificially created damages of rolling bearings of railway trains. Experimental results show that the proposed method has a superior performance in extracting fault features of defective train axle bearings. In addition, comparisons are performed with the kurtosis criterion based MMF and the spectral kurtosis criterion based MMF. The proposed feature selection based MMF method outperforms these two methods in detection of train axle bearing faults.

Assessing the effect of high school students’ training program on peers performance suffering from asthma

PubMed Central

Ghazavi, Zohreh; Hemmati, Zeinab; Hasanpour, Marziyeh; Iranpour, Ramin

2010-01-01

BACKGROUND: Asthma is the most common disease in childhood which is considered as the forerunner of the acute diseases and simply can cause disability among the children. Since childhood and adolescence are the most important periods of growth and perfection and incidence of asthma can bring about distortion in this process, the present study done aimed to assess the effect of conducting high school training program on peers’ performance with asthma. METHODS: This was a quasi-experimental study in which the performance rate of the students at the time of artificial attack of asthma was directly observed, assessed and compared through demographic data questionnaire and performance assessment check list. Eighty individuals from the second grade of high school students in 2010 in Isfahan City were randomly selected to participate in the present study, among which, 40 individuals were entered in the test group and 40 of them also were placed in the control group. After conducting the training program for the test group, which had been designed both by direct method (in person and face to face by asking and answering and group discussion) and by indirect method (using pamphlet and other educational materials), the level of the training effectiveness was assessed on the students’ performance. RESULTS: The findings of the present study indicated that the performance of students at the test group increased from 2.2 (0.6) to 91.8 (1.3) which emphasized that the training program for the young adolescent peers had a positive effect on promoting their health. CONCLUSIONS: Considering the results of the present study and regarding to the importance and role of students as the future makers of the country, and also the cost-effectiveness of the training programs and the positive effect of peers on increasing the level of health among the students with asthma and consequently decreasing the school absence, it obviously seems necessary to generalize and expand these training programs. PMID:22069400

An accelerated training method for back propagation networks

NASA Technical Reports Server (NTRS)

Shelton, Robert O. (Inventor)

1993-01-01

The principal objective is to provide a training procedure for a feed forward, back propagation neural network which greatly accelerates the training process. A set of orthogonal singular vectors are determined from the input matrix such that the standard deviations of the projections of the input vectors along these singular vectors, as a set, are substantially maximized, thus providing an optimal means of presenting the input data. Novelty exists in the method of extracting from the set of input data, a set of features which can serve to represent the input data in a simplified manner, thus greatly reducing the time/expense to training the system.

Chemical and canine analysis as complimentary techniques for the identification of active odors of the invasive fungus, Raffaelea lauricola.

PubMed

Simon, Alison G; Mills, DeEtta K; Furton, Kenneth G

2017-06-01

Raffaelea lauricola, a fungus causing a vascular wilt (laurel wilt) in Lauraceae trees, was introduced into the United States in the early 2000s. It has devastated forests in the Southeast and has now moved into the commercial avocado groves in southern Florida. Trained detection canines are currently one of the few successful methods for early detection of pre-symptomatic diseased trees. In order to achieve the universal and frequent training required to have successful detection canines, it is desirable to create accessible, safe, and long-lasting training aids. However, identification of odorants and compounds is limited by several factors, including both the availability of chemicals and the need to present chemicals individually and in combination to detection canines. A method for the separation and identification of volatile organic compounds (VOCs) from environmental substances for the creation of such a canine training aid is presented here. Headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used to identify the odors present in avocado trees infected with the R. lauricola phytopathogen. Twenty-eight compounds were detected using this method, with nine present in greater than 80% of samples. The majority of these compounds were not commercially available as standard reference materials, and a canine trial was designed to identify the active odors without the need of pure chemical compounds. To facilitate the creation of a canine training aid, the VOCs above R. lauricola were separated by venting a 0.53mm ID solgel-wax gas chromatography column to the atmosphere. Ten minute fractions of the odor profile were collected on cotton gauze in glass vials and presented to the detection canines in a series of field trials. The canines alerted to the VOCs from the vials that correspond to a portion of the chromatogram containing the most volatile species from R. lauricola. This innovative fractionation and collection method can be used to develop reliable and cost effective canine training aids. Copyright © 2017 Elsevier B.V. All rights reserved.

Teaching and assessing procedural skills using simulation: metrics and methodology.

PubMed

Lammers, Richard L; Davenport, Moira; Korley, Frederick; Griswold-Theodorson, Sharon; Fitch, Michael T; Narang, Aneesh T; Evans, Leigh V; Gross, Amy; Rodriguez, Elliot; Dodge, Kelly L; Hamann, Cara J; Robey, Walter C

2008-11-01

Simulation allows educators to develop learner-focused training and outcomes-based assessments. However, the effectiveness and validity of simulation-based training in emergency medicine (EM) requires further investigation. Teaching and testing technical skills require methods and assessment instruments that are somewhat different than those used for cognitive or team skills. Drawing from work published by other medical disciplines as well as educational, behavioral, and human factors research, the authors developed six research themes: measurement of procedural skills; development of performance standards; assessment and validation of training methods, simulator models, and assessment tools; optimization of training methods; transfer of skills learned on simulator models to patients; and prevention of skill decay over time. The article reviews relevant and established educational research methodologies and identifies gaps in our knowledge of how physicians learn procedures. The authors present questions requiring further research that, once answered, will advance understanding of simulation-based procedural training and assessment in EM.

Modelling, simulation and applications of longitudinal train dynamics

NASA Astrophysics Data System (ADS)

Cole, Colin; Spiryagin, Maksym; Wu, Qing; Sun, Yan Quan

2017-10-01

Significant developments in longitudinal train simulation and an overview of the approaches to train models and modelling vehicle force inputs are firstly presented. The most important modelling task, that of the wagon connection, consisting of energy absorption devices such as draft gears and buffers, draw gear stiffness, coupler slack and structural stiffness is then presented. Detailed attention is given to the modelling approaches for friction wedge damped and polymer draft gears. A significant issue in longitudinal train dynamics is the modelling and calculation of the input forces - the co-dimensional problem. The need to push traction performances higher has led to research and improvement in the accuracy of traction modelling which is discussed. A co-simulation method that combines longitudinal train simulation, locomotive traction control and locomotive vehicle dynamics is presented. The modelling of other forces, braking propulsion resistance, curve drag and grade forces are also discussed. As extensions to conventional longitudinal train dynamics, lateral forces and coupler impacts are examined in regards to interaction with wagon lateral and vertical dynamics. Various applications of longitudinal train dynamics are then presented. As an alternative to the tradition single wagon mass approach to longitudinal train dynamics, an example incorporating fully detailed wagon dynamics is presented for a crash analysis problem. Further applications of starting traction, air braking, distributed power, energy analysis and tippler operation are also presented.

Law Enforcement Officer Training, Basic Course. A Unit of the Ohio Law Enforcement Officers' Training Program. Instructor's Manual.

ERIC Educational Resources Information Center

Ohio State Dept. of Education, Columbus. Trade and Industrial Education Service.

Developed by the State Division of Vocational Education with the help of qualified consultants, this instructor's manual is for use in teaching the fundamental law enforcement procedures. Suggested time allotment, teaching guides, and presentation methods are included for each of the training procedures. Line drawings and photographs supplement…

Attitudes to Formal Business Training and Learning amongst Entrepreneurs in the Cultural Industries: Situated Business Learning through "Doing with Others."

ERIC Educational Resources Information Center

Raffo, Carlo; O'Connor, Justin; Lovatt, Andy; Banks, Mark

2000-01-01

Presents arguments supporting a social model of learning linked to situated learning and cultural capital. Critiques training methods used in cultural industries (arts, publishing, broadcasting, design, fashion, restaurants). Uses case study evidence to demonstrates inadequacies of formal training in this sector. (Contains 49 references.) (SK)

Designs for the Evaluation of Teacher Training Materials. Report No. 2.

ERIC Educational Resources Information Center

Okey, James R.; Ciesla, Jerome L.

This paper describes methods to assess the impact on students of a teacher using skills learned in a training program. Three designs for assessing the effects of teacher training materials are presented: time series design, equivalent time-samples design, and posttest-only control group design. Data obtained by classroom teachers while using the…

Investigating bang for your training buck: a randomized controlled trial comparing three methods of training clinicians in two core strategies of dialectical behavior therapy.

PubMed

Dimeff, Linda A; Harned, Melanie S; Woodcock, Eric A; Skutch, Julie M; Koerner, Kelly; Linehan, Marsha M

2015-05-01

The present study examined the efficacy of online training (OLT), instructor-led training (ILT), and a treatment manual (TM) in training mental health clinicians in two core strategies of Dialectical Behavior Therapy (DBT): chain analysis and validation. A randomized controlled trial compared OLT, ILT, and TM among clinicians naïve to DBT (N=172) who were assessed at baseline, post-training, and 30, 60, and 90 days following training. Primary outcomes included satisfaction, self-efficacy, motivation, knowledge, clinical proficiency, and clinical use. Overall, ILT outperformed OLT and TM in satisfaction, self-efficacy, and motivation, whereas OLT was the most effective method for increasing knowledge. The conditions did not differ in observer-rated clinical proficiency or self-reported clinical use, which both increased to moderate levels after training. In addition, ILT was particularly effective at improving motivation to use chain analysis, whereas OLT was particularly effective at increasing knowledge of validation strategies. These findings suggest that these types of brief, didactic trainings may be effective methods of increasing knowledge of new treatment strategies, but may not be sufficient to enable clinicians to achieve a high level of clinical use or proficiency. Additional research examining the possible advantages of matching training methods to types of treatment strategies may help to determine a tailored, more effective approach to training clinicians in empirically supported treatments. Copyright © 2015. Published by Elsevier Ltd.

Training Methods and Training Instructors' Qualification Are Related to Recruits' Fitness Development During Basic Military Training.

PubMed

Roos, Lilian; Hofstetter, Marie-Claire; Mäder, Urs; Wyss, Thomas

2015-11-01

Adequate physical fitness is essential for successful military service. Military organizations worldwide therefore make continuous efforts to improve their army's physical training (PT) programs. To investigate the effect of the training methods and the qualification of PT instructors on the development of recruits' physical fitness, the present study compared the outcomes of 2 training groups. Both study groups participated in approximately 145 minutes per week of PT. The control group executed the standard army PT prepared and supervised by army PT instructors. Content of the PT in the intervention group was similar to that of the control group, but their training sessions' methods were different. Their training sessions were organized, prepared, and delivered by more and better-qualified supervisors (tertiary-educated physical education teachers). After 10 weeks of training, the participants of the intervention group experienced a significantly greater physical fitness improvement than those of the control group (positive change in endurance 32 and 17%, balance 30 and 21%, and core strength 74 and 45%, respectively). In both groups, the recruits with the lowest initial fitness levels significantly increased their performance. In the intervention group, but not the control, one-third of the recruits with the highest initial fitness levels were able to further improve their general fitness performance. This study demonstrates that the training methods and quality of instruction during PT sessions are relevant for recruits' fitness development in basic military training.

Comparison of Direct and Indirect Methods of Teaching Breast Self-Examination – Influence on Knowledge and Attitudes of Iranian Nursing and Midwifery Personnel

PubMed

Shahbazi, Sara; Heidari, Mohammad; Ghafourifard, Mansour

2017-04-01

Background: Breast cancer is the most common cancer in women. Monthly breast self-examination (BSE) has been presented as one of the best screening methods available. The aim of this study was to compare effects of both direct and indirect methods of teaching of BSE on knowledge and attitudes of nursing and midwifery personnel. Materials and Methods: The present study was performed on 89 nursing and midwifery personnel in Valiasr hospital of Borujen city. Participants were randomly divided into a direct and an indirect training group. Researcher-designed BSE knowledge and attitude and demographic information questionnaires were used for data collection. Results: Before the education intervention, the mean levels of knowledge and attitude were 9.82±2.79 and 56.5±6.21 in the direct training group and 9.59±2.71 and 54.5±4.51 in the indirect training group; after the intervention, they reached 19.2±0.96 and 62.9±4.21, and 11.0±2.58 and 59.0±3.44, respectively. The difference in the mean levels of knowledge and attitude were significantly higher in the direct training group post intervention (P<0.05). Conclusion: It appears that educational planners and hospital personnel education officials should seek to teach aspects of crucial health behavior to female personnel using cooperative and direct training methods. Creative Commons Attribution License

Motor and mental training in older people: Transfer, interference, and associated functional neural responses.

PubMed

Boraxbekk, C J; Hagkvist, Filip; Lindner, Philip

2016-08-01

Learning new motor skills may become more difficult with advanced age. In the present study, we randomized 56 older individuals, including 30 women (mean age 70.6 years), to 6 weeks of motor training, mental (motor imagery) training, or a combination of motor and mental training of a finger tapping sequence. Performance improvements and post-training functional magnetic resonance imaging (fMRI) were used to investigate performance gains and associated underlying neural processes. Motor-only training and a combination of motor and mental training improved performance in the trained task more than mental-only training. The fMRI data showed that motor training was associated with a representation in the premotor cortex and mental training with a representation in the secondary visual cortex. Combining motor and mental training resulted in both premotor and visual cortex representations. During fMRI scanning, reduced performance was observed in the combined motor and mental training group, possibly indicating interference between the two training methods. We concluded that motor and motor imagery training in older individuals is associated with different functional brain responses. Furthermore, adding mental training to motor training did not result in additional performance gains compared to motor-only training and combining training methods may result in interference between representations, reducing performance. Copyright © 2016 Elsevier Ltd. All rights reserved.

Financial Analysis: A Review of the Methods and Their Application to Employee Training. Training and Development Research Center Project Number Nine.

ERIC Educational Resources Information Center

Mosier, Nancy R.

Financial analysis techniques are tools that help managers make sound financial decisions that contribute to general corporate objectives. A literature review reveals that the most commonly used financial analysis techniques are payback time, average rate of return, present value or present worth, and internal rate of return. Despite the success…

Experience of 16 years and its associated challenges in the Field Epidemiology Training Program in Korea.

PubMed

Lee, Moo-Sik; Kim, Eun-Young; Lee, Sang-Won

2017-01-01

The field epidemiologist system of South Korea, which employs public health doctors who are relatively more readily available, was created in 1999 to ensure a ready supply of experts for epidemiological investigations and enable an effective response for new and reemerging infectious diseases. However, the 2015 outbreak of Middle East Respiratory Syndrome revealed limitations in the existing systems of management of field epidemiologists and communicable diseases. The present study aims to evaluate data on current states, administrative reports, and other literature on the field epidemiologist system that has been in place in South Korea for 16 years since 1999 and to suggest appropriate future improvements in this system. By suggesting methods to evaluate the field epidemiologist system and training programs and by suggesting ways for the Korea Centers for Disease Control and Prevention to conduct evaluations on its own, the present study provides supporting evidence for improvement of systems for training of experts in epidemiological investigations. Moreover, based on the findings, this study also suggests methods to systematically train experts in communicable diseases management and a sustainable system to establish the basis of and develop strategies for a systematic and phased management of field epidemiologist training programs. The present study suggests the possibility of establishing dedicated training facilities, revising the guidelines on training and improvement of the competency of public health experts, while not limiting the scope of application to communicable diseases.

Relationship between the components of on-site training and emotional intelligence in the librarians of Isfahan University of Medical Sciences and Isfahan University with moderating role of personality characteristics

PubMed Central

Sayadi, Saeed; Safdarian, Ali; Khayeri, Behnaz

2015-01-01

Introduction: Training the man power is an inevitable necessity that the organizations need in order to survive and develop in today changing world. Aims: The aim of the present study is to identify the relationship between the components of on-site training and emotional intelligence in librarians of Isfahan University of Medical Sciences and Isfahan University with moderating role of personality characteristics. Settings and Design: Descriptive correlation method was used in the present study. The statistical population of the study was all of the 157 librarians of Isfahan University of Medical Sciences and Isfahan University from whom the appointed individuals were selected through random sampling method. Subjects and Methods: The research tools included the researcher-made questionnaire of investigating the effectiveness of on-site training system and two other standard questionnaires of Shrink emotional intelligence, and NEO personality questionnaire, which all of them had the needed reliability and validity. Statistical Analysis: The descriptive indices (distribution and mean) and also the inferential methods (Pearson correlation, regression analysis and analysis of variance) were used through applying version 20 of SPSS software to analyze the obtained data. Results: There was a significant relationship with certainty level of 95% between the components of on-site training with emotional intelligence in those who obtained low grades in the features of being extrovert and between the individual aspects of on-site training with emotional intelligence in those who got higher grades in the characteristic of being extrovert. Conclusion: The emotional intelligence is a promotable skill and considering the existence of a significant relationship between some components of emotional intelligence and on-site training, these skills can be institutionalized through conducting mentioned educational courses. PMID:27462631

Education in the responsible conduct of research in psychology: methods and scope.

PubMed

DiLorenzo, Terry A; Becker-Fiegeles, Jill; Gibelman, Margaret

2014-01-01

In this mixed-method study of education in the responsible conduct of research (RCR) in psychology, phase one survey respondents (n = 141) reported that faculty and students were familiar with RCR standards and procedures to educate them were believed to be adequate. However, educational methods varied widely. In phase two, seven survey respondents completed in-depth interviews assessing RCR training and education and research review procedures. Educational methods through which RCR content was presented included the following ones: traditional (lectures), technical (web-based), and experiential (internships), but RCR was often minimally considered in the formal curriculum. Our results suggest that psychology training programs might benefit from more formal consideration of RCR education and training in the curriculum.

Metacognitive Training at Home: Does It Improve Older Adults' Learning?

PubMed Central

Bailey, Heather; Dunlosky, John; Hertzog, Christopher

2010-01-01

Background Previous research has described the success of an intervention aimed at improving older adults' ability to regulate their learning. This metacognitive approach involves teaching older adults to allocate their study time more efficiently by testing themselves and restudying items that are less well learned. Objective Although this type of memory intervention has shown promise, training older adults to test themselves in the laboratory can be very time-intensive. Thus, the purpose of the present study is to transport the self-testing training method from the laboratory to home use. Methods A standard intervention design was used that included a pretraining session, multiple training sessions, and a posttraining session. Participants were randomly assigned to either the training group (n = 29) or the waiting list control group (n = 27). Moreover, we screened participants for whether they used the self-testing strategy during their pretraining test session. Results Compared to the performance of the control group, the training group displayed significant gains, which demonstrates that older adults can benefit from training themselves to use these skills at home. Moreover, the results of the present study indicate that this metacognitive approach can effectively improve older adults' learning, even in those who spontaneously self-test prior to training. Conclusions Training metacognitive skills, such as self-testing and efficient study allocation, can improve the ability to learn new information in healthy older adults. More importantly, older adult clients can be supplied with an at-home training manual, which will ease the burden on practitioners. PMID:20016124

Factors That Influence the Rating of Perceived Exertion After Endurance Training.

PubMed

Roos, Lilian; Taube, Wolfgang; Tuch, Carolin; Frei, Klaus Michael; Wyss, Thomas

2018-03-15

Session rating of perceived exertion (sRPE) is an often used measure to assess athletes' training load. However, little is known which factors could optimize the quality of data collection thereof. The aim of the present study was to investigate the effects of (i) the survey methods and (ii) the time points when sRPE was assessed on the correlation between subjective (sRPE) and objective (heart rate training impulse; TRIMP) assessment of training load. In the first part, 45 well-trained subjects (30 men, 15 women) performed 20 running sessions with a heart rate monitor and reported sRPE 30 minutes after training cessation. For the reporting the subjects were grouped into three survey method groups (paper-pencil, online questionnaire, and mobile device). In the second part of the study, another 40 athletes (28 men, 12 women) performed 4x5 running sessions with the four time points to report the sRPE randomly assigned (directly after training cessation, 30 minutes post-exercise, in the evening of the same day, the next morning directly after waking up). The assessment of sRPE is influenced by time point, survey method, TRIMP, sex, and training type. It is recommended to assess sRPE values via a mobile device or online tool, as the survey method "paper" displayed lower correlations between sRPE and TRIMP. Subjective training load measures are highly individual. When compared at the same relative intensity, lower sRPE values were reported by women, for the training types representing slow runs, and for time points with greater duration between training cessation and sRPE assessment. The assessment method for sRPE should be kept constant for each athlete and comparisons between athletes or sexes are not recommended.

[Which learning methods are expected for ultrasound training? Blended learning on trial].

PubMed

Röhrig, S; Hempel, D; Stenger, T; Armbruster, W; Seibel, A; Walcher, F; Breitkreutz, R

2014-10-01

Current teaching methods in graduate and postgraduate training often include frontal presentations. Especially in ultrasound education not only knowledge but also sensomotory and visual skills need to be taught. This requires new learning methods. This study examined which types of teaching methods are preferred by participants in ultrasound training courses before, during and after the course by analyzing a blended learning concept. It also investigated how much time trainees are willing to spend on such activities. A survey was conducted at the end of a certified ultrasound training course. Participants were asked to complete a questionnaire based on a visual analogue scale (VAS) in which three categories were defined: category (1) vote for acceptance with a two thirds majority (VAS 67-100%), category (2) simple acceptance (50-67%) and category (3) rejection (< 50%). A total of 176 trainees participated in this survey. Participants preferred an e-learning program with interactive elements, short presentations (less than 20 min), incorporating interaction with the audience, hands-on sessions in small groups, an alternation between presentations and hands-on-sessions, live demonstrations and quizzes. For post-course learning, interactive and media-assisted approaches were preferred, such as e-learning, films of the presentations and the possibility to stay in contact with instructors in order to discuss the results. Participants also voted for maintaining a logbook for documentation of results. The results of this study indicate the need for interactive learning concepts and blended learning activities. Directors of ultrasound courses may consider these aspects and are encouraged to develop sustainable learning pathways.

Description of Audio-Visual Recording Equipment and Method of Installation for Pilot Training.

ERIC Educational Resources Information Center

Neese, James A.

The Audio-Video Recorder System was developed to evaluate the effectiveness of in-flight audio/video recording as a pilot training technique for the U.S. Air Force Pilot Training Program. It will be used to gather background and performance data for an experimental program. A detailed description of the system is presented and construction and…

URBAN DECISION MAKING - THE FINDINGS FROM A CONFERENCE (CHICAGO, NOVEMBER 5-12, 1965). APPLICATIONS OF HUMAN RELATIONS LABORATORY TRAINING, NUMBER 1, 1967.

ERIC Educational Resources Information Center

FRANKLIN, PAULA; FRANKLIN, RICHARD

THIS NATIONAL TRAINING LABORATORIES (NTL) CONFERENCE, DEPARTING SOMEWHAT FROM ITS USUAL EXPERIENCE-BASED LEARNING PROGRAMS, FOCUSED LABORATORY TRAINING METHODS ON THE DECISION-MAKING PROCESS IN URBAN COMMUNITY PROBLEM SOLVING. THE CONFERENCE PRESENTED THEORY, INFORMATION, AND OPINION ON THE NATURE OF CITIES AND THEIR DECISION-MAKING PROCESSES.…

Mental Effort and Performance as Determinants for the Dynamic Selection of Learning Tasks in Air Traffic Control Training

ERIC Educational Resources Information Center

Salden, Ron J.C.M.; Paas, Fred; Broers, Nick J.; van Merrienboer, Jeroen J. G.

2004-01-01

The differential effects of four task selection methods on training efficiency and transfer in computer-based training for Air Traffic Control were investigated. A non-dynamic condition, in which the learning tasks were presented to the participants in a fixed, predetermined sequence, was compared to three dynamic conditions, in which learning…

Drive Train Normal Modes Analysis for the ERDA/NASA 100-Kilowatt Wind Turbine Generator

NASA Technical Reports Server (NTRS)

Sullivan, T. L.; Miller, D. R.; Spera, D. A.

1977-01-01

Natural frequencies, as a function of power were determined using a finite element model. Operating conditions investigated were operation with a resistive electrical load and operation synchronized to an electrical utility grid. The influence of certain drive train components on frequencies and mode shapes is shown. An approximate method for obtaining drive train natural frequencies is presented.

Word acquisition, retention, and transfer: findings from contextual and isolated word training.

PubMed

Martin-Chang, Sandra Lyn; Levy, Betty Ann; O'Neil, Sara

2007-01-01

Successful reading instruction entails not only acquiring new words but also remembering them after training has finished and accessing their word-specific representations when they are encountered in new text. We report two studies demonstrating that acquisition, retention, and transfer of unfamiliar words were affected differentially by isolated word and context training. Materials were individualized to include only those words that average readers in second grade were unable to name in context. Different words were trained in each condition; context training presented words in stories, and isolated word training presented words on flashcards. Together, the studies show that context training promotes word acquisition beyond that experienced from reading words in isolation. Contrary to the prevailing opinion, memory performance for words trained in context and in isolation did not differ; children demonstrated excellent retention over an 8-day interval in both conditions. Finally, transfer was maximized when the congruency between training and testing was high. Therefore, when reading trained words in novel circumstances, the best method of training was mediated by the transfer task employed at test.

First responder training: Supporting commercialization of hydrogen and fuel cell technologies

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

Barilo, N. F.; Hamilton, J. J.; Weiner, S. C.

A properly trained first responder community is critical to the successful introduction of hydrogen fuel cell applications and their transformation in how we use energy. Providing resources with accurate information and current knowledge is essential to the delivery of effective hydrogen and fuel cell-related first responder training. Furthermore, the California Fuel Cell Partnership and the Pacific Northwest National Laboratory have over 15 years of experience in developing and delivering hydrogen safety-related first responder training materials and programs. A National Hydrogen and Fuel Cell Emergency Response Training Resource was recently released (http://h2tools.org/fr/nt/). This training resource serves the delivery of a varietymore » of training regimens. Associated materials are adaptable for different training formats, ranging from high-level overview presentations to more comprehensive classroom training. Our paper presents what has been learned from the development and delivery of hydrogen safety-related first responder training programs (online, classroom, hands-on) by the respective organizations. We discussed the collaborative strategy being developed for enhancing training materials and methods for greater accessibility based on stakeholder input.« less

First responder training: Supporting commercialization of hydrogen and fuel cell technologies

DOE PAGES

Barilo, N. F.; Hamilton, J. J.; Weiner, S. C.

2017-03-01

A properly trained first responder community is critical to the successful introduction of hydrogen fuel cell applications and their transformation in how we use energy. Providing resources with accurate information and current knowledge is essential to the delivery of effective hydrogen and fuel cell-related first responder training. Furthermore, the California Fuel Cell Partnership and the Pacific Northwest National Laboratory have over 15 years of experience in developing and delivering hydrogen safety-related first responder training materials and programs. A National Hydrogen and Fuel Cell Emergency Response Training Resource was recently released (http://h2tools.org/fr/nt/). This training resource serves the delivery of a varietymore » of training regimens. Associated materials are adaptable for different training formats, ranging from high-level overview presentations to more comprehensive classroom training. Our paper presents what has been learned from the development and delivery of hydrogen safety-related first responder training programs (online, classroom, hands-on) by the respective organizations. We discussed the collaborative strategy being developed for enhancing training materials and methods for greater accessibility based on stakeholder input.« less

Training methods for horses: habituation to a frightening stimulus.

PubMed

Christensen, J W; Rundgren, M; Olsson, K

2006-09-01

Responses of horses in frightening situations are important for both equine and human safety. Considerable scientific interest has been shown in development of reactivity tests, but little effort has been dedicated to the development of appropriate training methods for reducing fearfulness. To investigate which of 3 different training methods (habituation, desensitisation and counter-conditioning) was most effective in teaching horses to react calmly in a potentially frightening situation. 1) Horses are able to generalise about the test stimulus such that, once familiar with the test stimulus in one situation, it appears less frightening and elicits a reduced response even when the stimulus intensity is increased or the stimulus is presented differently; and 2) alternative methods such as desensitisation and counter-conditioning would be more efficient than a classic habituation approach. Twenty-seven naive 2-year-old Danish Warmblood stallions were trained according to 3 different methods, based on classical learning theory: 1) horses (n = 9) were exposed to the full stimulus (a moving, white nylon bag, 1.2 x 0.75 m) in 5 daily training sessions until they met a predefined habituation criterion (habituation); 2) horses (n = 9) were introduced gradually to the stimulus and habituated to each step before the full stimulus was applied (desensitisation); 3) horses (n = 9) were trained to associate the stimulus with a positive reward before being exposed to the full stimulus (counter-conditioning). Each horse received 5 training sessions of 3 min per day. Heart rate and behavioural responses were recorded. Horses trained with the desensitisation method showed fewer flight responses in total and needed fewer training sessions to learn to react calmly to test stimuli. Variations in heart rate persisted even when behavioural responses had ceased. In addition, all horses on the desensitisation method eventually habituated to the test stimulus whereas some horses on the other methods did not. Desensitisation appeared to be the most effective training method for horses in frightening situations. Further research is needed in order to investigate the role of positive reinforcement, such as offering food, in the training of horses.

Reexamining the Relationship between Verbal Knowledge Background and Keyword Training for Vocabulary Acquisition

PubMed

Hogben; Lawson

1997-07-01

The literature on keyword training presents a confusing picture of the usefulness of the keyword method for foreign language vocabulary learning by students with strong verbal knowledge backgrounds. This paper reviews research which notes the existence of conflicting sets of findings concerning the verbal background-keyword training relationship and presents the results of analyses which argue against the assertion made by McDaniel and Pressley (1984) that keyword training will have minimal effect on students with high verbal ability. Findings from regression analyses of data from two studies did not show that the relationship between keyword training and immediate recall performance was moderated by verbal knowledge background. The disparate sets of findings related to the keyword training-verbal knowledge relationship and themes emerging from other research suggest that this relationship requires further examination.

Sea ice classification using fast learning neural networks

NASA Technical Reports Server (NTRS)

Dawson, M. S.; Fung, A. K.; Manry, M. T.

1992-01-01

A first learning neural network approach to the classification of sea ice is presented. The fast learning (FL) neural network and a multilayer perceptron (MLP) trained with backpropagation learning (BP network) were tested on simulated data sets based on the known dominant scattering characteristics of the target class. Four classes were used in the data simulation: open water, thick lossy saline ice, thin saline ice, and multiyear ice. The BP network was unable to consistently converge to less than 25 percent error while the FL method yielded an average error of approximately 1 percent on the first iteration of training. The fast learning method presented can significantly reduce the CPU time necessary to train a neural network as well as consistently yield higher classification accuracy than BP networks.

Active participation in preventionist professional practices: a specific ergonomics training course.

PubMed

Querelle, Léonard; Duwelz, Michel; Beaujouan, Joffrey; Pignault, Anne

2012-01-01

Currently, the different forms of corporate management methods (quality circles, lean manufacturing, etc.) are usually based on employee mobilisation. Very often, the goal of this type of approach is at best, to ensure that employees embrace corporate projects, or otherwise to impose changes on them without taking into account the real work and difficulties that they face daily. However, do these employee solicitation methods converge with participatory approaches as envisaged by ergonomists and more generally, preventionists? Based on the observation that the activity of institutional preventionists evolves with regulatory constraints and work related to the monitoring of indicators, the implementation and steering of the participatory approach within companies may be a major lever for prevention. After describing the foundations of a participatory approach, this paper will present a training experiment aimed at implementing and promoting employee participation in prevention efforts. The content of this training is then analysed with regard to the balance between methodology and the use of trainees' narratives. The results of the training session are presented from the point of view of the development prospects for pedagogical tools and the organisation of the training.

Smoke detection

DOEpatents

Warmack, Robert J. Bruce; Wolf, Dennis A.; Frank, Steven Shane

2016-09-06

Various apparatus and methods for smoke detection are disclosed. In one embodiment, a method of training a classifier for a smoke detector comprises inputting sensor data from a plurality of tests into a processor. The sensor data is processed to generate derived signal data corresponding to the test data for respective tests. The derived signal data is assigned into categories comprising at least one fire group and at least one non-fire group. Linear discriminant analysis (LDA) training is performed by the processor. The derived signal data and the assigned categories for the derived signal data are inputs to the LDA training. The output of the LDA training is stored in a computer readable medium, such as in a smoke detector that uses LDA to determine, based on the training, whether present conditions indicate the existence of a fire.

Smoke detection

DOEpatents

Warmack, Robert J. Bruce; Wolf, Dennis A.; Frank, Steven Shane

2015-10-27

Various apparatus and methods for smoke detection are disclosed. In one embodiment, a method of training a classifier for a smoke detector comprises inputting sensor data from a plurality of tests into a processor. The sensor data is processed to generate derived signal data corresponding to the test data for respective tests. The derived signal data is assigned into categories comprising at least one fire group and at least one non-fire group. Linear discriminant analysis (LDA) training is performed by the processor. The derived signal data and the assigned categories for the derived signal data are inputs to the LDA training. The output of the LDA training is stored in a computer readable medium, such as in a smoke detector that uses LDA to determine, based on the training, whether present conditions indicate the existence of a fire.

Assessing family medicine trainees--what can we learn from the European neighbours?

PubMed

Flum, Elisabeth; Maagaard, Roar; Godycki-Cwirko, Maciek; Scarborough, Nigel; Scherpbier, Nynke; Ledig, Thomas; Roos, Marco; Steinhäuser, Jost

2015-01-01

Although demands on family physicians (FP) are to a large extent similar in the European Union, uniform assessment standards for family medicine (FM) specialty training and assessment do not exist. Aim of this pilot study was to elicit and compare the different modalities and assessment methods of FM specialty training in five European countries. A semi structured survey was undertaken based on a convenient sample in five European countries (Denmark, Germany, Poland, the Netherlands and the United Kingdom). The respondents were asked to respond to ten items about aspects of FM specialty training and assessment methods in their respective countries. If available, this data was completed with information from official websites of the countries involved. FM specialty training is performed heterogeneously in the surveyed countries. Training time periods range from three to five years, in some countries requiring a foundation program of up to two years. Most countries perform longitudinal assessment during FM specialty training using a combination of competence-based approach with additional formative and summative assessment. There is some evidence on the assessments methods used, however the assessment method used and costs of assessment differs remarkably between the participating countries. Longitudinal and competence-based assessment is the presently preferred approach for FM specialty training. Countries which use less multifaceted methods for assessment could learn from best practice. Potential changes have significant cost implications.

Periodization in Team Sport Games - A Review of Current Knowledge and Modern Trends in Competitive Sports

PubMed Central

Lyakh, Vladimir; Bujas, Przemysław; Witkowski, Zbigniew; Zając, Tomasz; Litkowycz, Ryszard; Banyś, Damian

2016-01-01

Abstract The main goal of this study was to present a review of current knowledge and modern trends in periodization of the training process in team sports. The research objectives were: an analysis of various aspects of periodization of the annual training cycle for elite athletes practicing team sport games, an attempt to determine both the examined and unexamined issues related with periodization of training as well as to indicate directions for further research, and finally, presentation of different training loads and competitions in micro-, meso- and macrocycles. The research consisted of the analysis and generalization of the bibliography, methods of monitoring training and competition loads of the Polish national U17 female soccer team in the seasons 2011/2012 and 2012/2013, as well as of the female basketball division one club in the season 2014/2015. Findings of the present study indicate resolved as well as unresolved aspects of annual training cycle periodization in team sport games and provide information on the types of training and competitive workload planning in micro-, meso- and macrocycles.

Viewpoint: A Perspective on Nutrition Education and Training.

ERIC Educational Resources Information Center

Maretzki, Audrey N.

1979-01-01

Author discusses objectives, programs and evaluation of National School Lunch Act and Child Nutrition Amendments. Analyses present nutritional education training programs and their possible future effects. Proposes teaching strategies, methods of curriculum design and course content for nutritional education are proposed. (SMB)

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.

Modeling the Effects of Stress: An Approach to Training

NASA Technical Reports Server (NTRS)

Cuper, Taryn

2010-01-01

Stress is an integral element of the operational conditions experienced by combat medics. The effects of stress can compromise the performance of combat medics who must reach and treat their comrades under often threatening circumstances. Examples of these effects include tunnel vision, loss of motor control, and diminished hearing, which can result in an inability to perceive further danger, satisfactorily treat the casualty, and communicate with others. While many training programs strive to recreate this stress to aid in the experiential learning process, stress inducement may not always be feasible or desired. In addition, live simulations are not always a practical, convenient, and repeatable method of training. Instead, presenting situational training on a personal computer is proposed as an effective training platform in which the effects of stress can be addressed in a different way. We explore the cognitive and motor effects of stress, as well as the benefits of training for mitigating these effects in real life. While many training applications focus on inducing stress in order to "condition" the stress response, the author explores the possibilities of modeling stress to produce a similar effect. Can presenting modeled effects of stress help prepare or inoculate soldiers for stressful situations in which they must perform at a high level? This paper investigates feasibility of modeling stress and describes the preliminary design considerations of a combat medic training system that utilizes this method of battlefield preparation.

Empowering families with the experience of mental illness. A presentation of the Polish version of CAMILLE training package.

PubMed

Tabak, Izabela; Zabłocka-Żytka, Lidia; Czabała, Jan C

2016-01-01

The paper presents the CAMILLE training package prepared in the EU program Empowerment of Children and Adolescents of Mentally Ill Parents through Training of Professionals working with children and adolescents. The training is designed for psychiatrists, psychologists, social workers, teachers and others working with children and adolescents where a parent experiences mental disorders. The project was realized on 4 stages: (1) pre-analyses (quality and quantity) with professionals, family members and people experiencing mental disorders, in regards to the needs, experiences and expectations in education of professionals working with families of parents with mental illness; (2) development of a new pan-European training program for specialists working with these families; (3) pre-pilot implementation and evaluation of the training; (4) preparing of the final version of the training and pilot implementation in 7 countries participating in the project, also in Poland. The training program consists of 9 subjects, divided into 3 main groups: the basic knowledge (mental disorders, child development, attachment), experiences and needs of the families (experiences of parents, children, stigma), methods of family support (talking with children, resilience, successful services). The pilot implementation of the program showed great professionals' interest in the subject and training methods. The evaluation showed significant positive effects of the training in terms of the raise of awareness of influence of the parent's illness on needs of the child, parental abilities and ability of building the child resilience. The CAMILLE training is a valuable program that can be implemented in Poland.

Study on longitudinal force simulation of heavy-haul train

NASA Astrophysics Data System (ADS)

Chang, Chongyi; Guo, Gang; Wang, Junbiao; Ma, Yingming

2017-04-01

The longitudinal dynamics model of heavy-haul trains and air brake model used in the longitudinal train dynamics (LTDs) are established. The dry friction damping hysteretic characteristic of steel friction draft gears is simulated by the equation which describes the suspension forces in truck leaf springs. The model of draft gears introduces dynamic loading force, viscous friction of steel friction and the damping force. Consequently, the numerical model of the draft gears is brought forward. The equation of LTDs is strongly non-linear. In order to solve the response of the strongly non-linear system, the high-precision and equilibrium iteration method based on the Newmark-β method is presented and numerical analysis is made. Longitudinal dynamic forces of the 20,000 tonnes heavy-haul train are tested, and models and solution method provided are verified by the test results.

A real-time articulatory visual feedback approach with target presentation for second language pronunciation learning.

PubMed

Suemitsu, Atsuo; Dang, Jianwu; Ito, Takayuki; Tiede, Mark

2015-10-01

Articulatory information can support learning or remediating pronunciation of a second language (L2). This paper describes an electromagnetic articulometer-based visual-feedback approach using an articulatory target presented in real-time to facilitate L2 pronunciation learning. This approach trains learners to adjust articulatory positions to match targets for a L2 vowel estimated from productions of vowels that overlap in both L1 and L2. Training of Japanese learners for the American English vowel /æ/ that included visual training improved its pronunciation regardless of whether audio training was also included. Articulatory visual feedback is shown to be an effective method for facilitating L2 pronunciation learning.

Wheelchairmanship Project. A Program to Educate Personnel in the Transportation, Hotel and Restaurant, and Entertainment Industries in Improved Techniques for Serving Disabled People. Final Report.

ERIC Educational Resources Information Center

Smith, Anita P.; And Others

In a project designed to train customer service personnel in improved methods of assisting the physically disabled, audio-visual training materials were developed and presented during 2-week courses involving 1,058 employees at transportation, hotel/restaurant, and entertainment centers in 25 cities. The participants judged the training program…

Microsurgical training on an in vitro chicken wing infusion model.

PubMed

Olabe, Jon; Olabe, Javier

2009-12-01

Microneurovascular anastomosis and aneurysm clipping require extensive training before mastering the technique and are a surgical challenge. We developed the "infused chicken wing method" to provide a simple but realistic training method minimizing animal use and need for special facilities for animal care and anesthesia. Fresh chicken wings were used in this model. The main brachial artery was cannulated, and water was infused at 140 mm Hg followed by anatomical neurovascular dissection. Multiple microsurgical training exercises were performed under microscope vision including terminoterminal, lateroterminal, laterolateral vascular anastomosis, and nerve anastomosis. Different complexity aneurysms were created using venous patches, clipping, rupture, and vascular reconstruction techniques were performed. This novel training model is inexpensive, easily obtainable, and no live animals are required. The diameter and characteristics of arteries and veins used are similar to those of the human brain. Great microsurgical technique progress may be obtained. The infused chicken wing artery model presents a realistic microvascular training method. It is inexpensive and easy to set up. Such simplicity provides the adequate environment for developing microsurgical technique. Copyright 2009 Elsevier Inc. All rights reserved.

Accelerated Training for Large Feedforward Neural Networks

NASA Technical Reports Server (NTRS)

Stepniewski, Slawomir W.; Jorgensen, Charles C.

1998-01-01

In this paper we introduce a new training algorithm, the scaled variable metric (SVM) method. Our approach attempts to increase the convergence rate of the modified variable metric method. It is also combined with the RBackprop algorithm, which computes the product of the matrix of second derivatives (Hessian) with an arbitrary vector. The RBackprop method allows us to avoid computationally expensive, direct line searches. In addition, it can be utilized in the new, 'predictive' updating technique of the inverse Hessian approximation. We have used directional slope testing to adjust the step size and found that this strategy works exceptionally well in conjunction with the Rbackprop algorithm. Some supplementary, but nevertheless important enhancements to the basic training scheme such as improved setting of a scaling factor for the variable metric update and computationally more efficient procedure for updating the inverse Hessian approximation are presented as well. We summarize by comparing the SVM method with four first- and second- order optimization algorithms including a very effective implementation of the Levenberg-Marquardt method. Our tests indicate promising computational speed gains of the new training technique, particularly for large feedforward networks, i.e., for problems where the training process may be the most laborious.

The effect of formal, neonatal communication-intervention training on mothers in kangaroo care

PubMed Central

van Rooyen, Elise

2014-01-01

Abstract Background Due to low-birth-weight, preterm birth, HIV and/or AIDS and poverty-related factors, South Africa presents with an increased prevalence of infants at risk of language delay. A Kangaroo Mother Care (KMC) unit offers unique opportunities for training. Aim The aim of the present study was to determine if formal, neonatal communication-intervention training had an effect on mothers’ knowledge and communication interaction with their high-risk infants. Methods Three groups of mothers participated: Group 1 was trained whilst practicing KMC; Group 2 was not trained but practiced KMC; and Group 3 was also not trained but practiced sporadic KMC. Ten mothers per group were matched for age, education level and birth order of their infants. The individual training was based on graded sensory stimulation and responsive mother-infant communication interaction, which emphasised talking and singing by the mother. Results Significant differences were found in mother-infant communication interaction between all three groups, which indicated a positive effect on Group 1 with training. Group 2, KMC without training, also had a positive effect on interaction. However, Group 1 mothers with training demonstrated better knowledge of their infants and were more responsive during interaction than the other two groups. Conclusion The present study suggests that neonatal communication-intervention training adds value to a KMC programme. PMID:26245414

The influence of an elective introductory clinical research course on pharmacy student interest in pursuing research-based careers.

PubMed

Overholser, Brian R; Foster, David R; Henry, Joshua R; Plake, Kimberly S; Sowinski, Kevin M

2010-11-10

To assess the impact of an elective clinical research course on second- and third-year pharmacy students' knowledge of clinical research methods, training programs, career options, and interest in pursuing postgraduate training. A 2-credit hour elective course in clinical research was designed that included lectures, discussions, workshops, and in-class presentations related to study design and implementation, protocol synthesis, research evaluation, ethical and legal considerations, data analysis, and professional opportunities involving clinical research. Learner knowledge of these topics was assessed using several methods, including 3 assignments related to research protocol, ethical documentation, and presentation. A survey instrument designed to evaluate the effect the course had on pharmacy students' knowledge of clinical research methods and interest in pursuing postgraduate training in clinical research was administered. Students who completed the elective had a greater level of familiarity with research-related topics, training options, and career opportunities (p < 0.05) and a greater interest in pursuing a career in clinical research (p < 0.05) than did students in a matched control group. Taking a 2-credit hour elective course in clinical research increased pharmacy students' interest in pursuing a career in clinical research.

Safety in airplane flight

NASA Technical Reports Server (NTRS)

Brunat, H

1927-01-01

This report presents methods to reduce the incidence of aviation accidents. Some of the methods discussed include enlistment and training of aviators, improvement of controls and control surfaces, and upgrading of power plants.

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

Warmack, Robert J. Bruce; Wolf, Dennis A.; Frank, Steven Shane

Various apparatus and methods for smoke detection are disclosed. In one embodiment, a method of training a classifier for a smoke detector comprises inputting sensor data from a plurality of tests into a processor. The sensor data is processed to generate derived signal data corresponding to the test data for respective tests. The derived signal data is assigned into categories comprising at least one fire group and at least one non-fire group. Linear discriminant analysis (LDA) training is performed by the processor. The derived signal data and the assigned categories for the derived signal data are inputs to the LDAmore » training. The output of the LDA training is stored in a computer readable medium, such as in a smoke detector that uses LDA to determine, based on the training, whether present conditions indicate the existence of a fire.« less

Training teachers to teach mental health skills to staff in primary care settings in a vast, under-populated area.

PubMed

Goldberg, D P; Gask, L; Zakroyeva, A; Proselkova, E; Ryzhkova, N; Williams, P

2012-12-01

Background The Arkhangelsk Oblast is an area the size of France with a sparsely distributed population. The existing primary care staff have had very little training in the management of mental health disorders, despite the frequency of these disorders in the population. They requested special teaching on depression, suicide, somatisation and alcohol problems. Methods An educational intervention was developed in partnership with mental health and primary care staff in Russia, to develop mental health skills using established, evidence-based methods. After a preliminary demonstration of teaching methods to be employed, a 5-day full-time teaching course was offered to trainers of general practitioners and feldshers. Results The findings are presented by providing details of improvements that occurred over a 3-month period in four areas, namely depression in primary care, somatic presentations of distress, dealing with suicidal patients, and alcohol problems. We present preliminary data on how the training has generalised since our visits to Archangelsk. Conclusions Teachers who are used to teaching by didactic lectures can be taught the value of short introductory talks that invite discussion, and mental health skills can be taught using role play. The content of such training should be driven by perceived local needs, and developed in conjunction with local leaders and teachers within primary care services. Further research will be needed to establish the impact on clinical outcomes.

Diversity Training with a Dramatic Flair.

ERIC Educational Resources Information Center

Wilson, Jennifer B.

1998-01-01

Describes the "social action theater" approach to diversity training in colleges and universities. The method uses one-act plays to present diversity issues in a way that creates conflict among characters and promotes audience discussion. Issues in using social-action theater are examined, including benefits, determining level of campus…

Communicating Test Results: A Training Guide. Final Report.

ERIC Educational Resources Information Center

Phelps, William R.

This training guide is prepared primarily for the professional practitioner; however, academicians may find the guide to have considerable value in both graduate and undergraduate courses in the helping services. The material presents techniques and methods for communicating test results of a psychometric nature, suggested standards for…

Water Quality & Pollutant Source Monitoring: Field and Laboratory Procedures. Training Manual.

ERIC Educational Resources Information Center

Office of Water Program Operations (EPA), Cincinnati, OH. National Training and Operational Technology Center.

This training manual presents material on techniques and instrumentation used to develop data in field monitoring programs and related laboratory operations concerned with water quality and pollution monitoring. Topics include: collection and handling of samples; bacteriological, biological, and chemical field and laboratory methods; field…

Web-Based Teacher Training and Coaching/Feedback: A Case Study

ERIC Educational Resources Information Center

Wilczynski, Susan M.; Labrie, Allison; Baloski, Ann; Kaake, Amanda; Marchi, Nick; Zoder-Martell, Kimberly

2017-01-01

The present case study evaluated web-based training with coaching and feedback delivered through videoconferencing software to increase teacher use of behavioral methods associated with increased compliance. The participant, a preschool special education teacher, increased both her knowledge of efficacious interventions for autism spectrum…

Learning to train neural networks for real-world control problems

NASA Technical Reports Server (NTRS)

Feldkamp, Lee A.; Puskorius, G. V.; Davis, L. I., Jr.; Yuan, F.

1994-01-01

Over the past three years, our group has concentrated on the application of neural network methods to the training of controllers for real-world systems. This presentation describes our approach, surveys what we have found to be important, mentions some contributions to the field, and shows some representative results. Topics discussed include: (1) executing model studies as rehearsal for experimental studies; (2) the importance of correct derivatives; (3) effective training with second-order (DEKF) methods; (4) the efficacy of time-lagged recurrent networks; (5) liberation from the tyranny of the control cycle using asynchronous truncated backpropagation through time; and (6) multistream training for robustness. Results from model studies of automotive idle speed control serve as examples for several of these topics.

Deterministic convergence of chaos injection-based gradient method for training feedforward neural networks.

PubMed

Zhang, Huisheng; Zhang, Ying; Xu, Dongpo; Liu, Xiaodong

2015-06-01

It has been shown that, by adding a chaotic sequence to the weight update during the training of neural networks, the chaos injection-based gradient method (CIBGM) is superior to the standard backpropagation algorithm. This paper presents the theoretical convergence analysis of CIBGM for training feedforward neural networks. We consider both the case of batch learning as well as the case of online learning. Under mild conditions, we prove the weak convergence, i.e., the training error tends to a constant and the gradient of the error function tends to zero. Moreover, the strong convergence of CIBGM is also obtained with the help of an extra condition. The theoretical results are substantiated by a simulation example.

Educational Methods for Deaf-Blind and Severely Handicapped Students. Volume II.

ERIC Educational Resources Information Center

Texas Education Agency, Austin. Div. of Special Education.

The book presents 17 papers originally presented at a 1978 Texas conference on educational methods for deaf-blind and severely handicapped students, covering the areas of motor development, auditory assessment and hearing loss, communication, cognition, prevocational training, and functional living skills. Titles and authors include "An Overview…

Investigation for Molecular Attraction Impact Between Contacting Surfaces in Micro-Gears

NASA Astrophysics Data System (ADS)

Yang, Ping; Li, Xialong; Zhao, Yanfang; Yang, Haiying; Wang, Shuting; Yang, Jianming

2013-10-01

The aim of this research work is to provide a systematic method to perform molecular attraction impact between contacting surfaces in micro-gear train. This method is established by integrating involute profile analysis and molecular dynamics simulation. A mathematical computation of micro-gear involute is presented based on geometrical properties, Taylor expression and Hamaker assumption. In the meantime, Morse potential function and the cut-off radius are introduced with a molecular dynamics simulation. So a hybrid computational method for the Van Der Waals force between the contacting faces in micro-gear train is developed. An example is illustrated to show the performance of this method. The results show that the change of Van Der Waals force in micro-gear train has a nonlinear characteristic with parameters change such as the modulus of the gear and the tooth number of gear etc. The procedure implies a potential feasibility that we can control the Van Der Waals force by adjusting the manufacturing parameters for gear train design.

Advanced training systems

NASA Technical Reports Server (NTRS)

Savely, Robert T.; Loftin, R. Bowen

1990-01-01

Training is a major endeavor in all modern societies. Common training methods include training manuals, formal classes, procedural computer programs, simulations, and on-the-job training. NASA's training approach has focussed primarily on on-the-job training in a simulation environment for both crew and ground based personnel. NASA must explore new approaches to training for the 1990's and beyond. Specific autonomous training systems are described which are based on artificial intelligence technology for use by NASA astronauts, flight controllers, and ground based support personnel that show an alternative to current training systems. In addition to these specific systems, the evolution of a general architecture for autonomous intelligent training systems that integrates many of the features of traditional training programs with artificial intelligence techniques is presented. These Intelligent Computer Aided Training (ICAT) systems would provide much of the same experience that could be gained from the best on-the-job training.

Big data and ergonomics methods: A new paradigm for tackling strategic transport safety risks.

PubMed

Walker, Guy; Strathie, Ailsa

2016-03-01

Big data collected from On-Train Data Recorders (OTDR) has the potential to address the most important strategic risks currently faced by rail operators and authorities worldwide. These risk issues are increasingly orientated around human performance and have proven resistant to existing approaches. This paper presents a number of proof of concept demonstrations to show that long standing ergonomics methods can be driven from big data, and succeed in providing insight into human performance in a novel way. Over 300 ergonomics methods were reviewed and a smaller sub-set selected for proof-of-concept development using real on-train recorder data. From this are derived nine candidate Human Factors Leading Indicators which map on to all of the psychological precursors of the identified risks. This approach has the potential to make use of a significantly underused source of data, and enable rail industry stakeholders to intervene sooner to address human performance issues that, via the methods presented in this paper, are clearly manifest in on-train data recordings. The intersection of psychological knowledge, ergonomics methods and big data creates an important new framework for driving new insights. Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

A Usability and Learnability Case Study of Glass Flight Deck Interfaces and Pilot Interactions through Scenario-based Training

NASA Astrophysics Data System (ADS)

De Cino, Thomas J., II

In the aviation industry, digitally produced and presented flight, navigation, and aircraft information is commonly referred to as glass flight decks. Glass flight decks are driven by computer-based subsystems and have long been a part of military and commercial aviation sectors. Over the past 15 years, the General Aviation (GA) sector of the aviation industry has become a recent beneficiary of the rapid advancement of computer-based glass flight deck (GFD) systems. While providing the GA pilot considerable enhancements in the quality of information about the status and operations of the aircraft, training pilots on the use of glass flight decks is often delivered with traditional methods (e.g. textbooks, PowerPoint presentations, user manuals, and limited computer-based training modules). These training methods have been reported as less than desirable in learning to use the glass flight deck interface. Difficulties in achieving a complete understanding of functional and operational characteristics of the GFD systems, acquiring a full understanding of the interrelationships of the varied subsystems, and handling the wealth of flight information provided have been reported. Documented pilot concerns of poor user experience and satisfaction, and problems with the learning the complex and sophisticated interface of the GFD are additional issues with current pilot training approaches. A case study was executed to explore ways to improve training using GFD systems at a Midwestern aviation university. The researcher investigated if variations in instructional systems design and training methods for learning glass flight deck technology would affect the perceptions and attitudes of pilots of the learnability (an attribute of usability) of the glass flight deck interface. Specifically, this study investigated the effectiveness of scenario-based training (SBT) methods to potentially improve pilot knowledge and understanding of a GFD system, and overall pilot user experience and satisfaction. Participants overwhelmingly reported positive learning experiences from scenario-based GFD systems flight training, noting that learning and knowledge construction were improved over other training received in the past. In contrast, participants rated the usability and learnability of the GFD training systems low, reporting various problems with the systems' interface, and the learnability (first-time use) of the complex GFD system. However, issues with usability of the GFD training systems did not reduce or change participant attitudes towards learning and mastering GFD systems; to the contrary, all participants requested additional coursework opportunities to train on GFD systems with the scenario-based flight training format.

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…

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.

Training Analyses Supporting the Land Warrior and Ground Soldier Systems

DTIC Science & Technology

2009-07-01

unit with LW and MW expressed in terms of unit force effectiveness, impacts to the DOTMLPF domains, life cycle cost, and ability to mitigate Joint...other individual tasks, Soldier and/or leader, be added to NET; should any be eliminated? What methods of instruction/resources should remain the...presentation of the training observation results from the nine-day NET. Terminal Learning Objectives The NET POI ( Omega Training Group, 2006

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.

PubMed

Ngo, Tuan Anh; Lu, Zhi; Carneiro, Gustavo

2017-01-01

We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where the visual object of interest presents large shape and appearance variations, but the annotated training set is small, which is the case for various medical image analysis applications, including the one considered in this paper. In particular, level set methods are based on shape and appearance terms that use small training sets, but present limitations for modelling the visual object variations. Deep learning methods can model such variations using relatively small amounts of annotated training, but they often need to be regularised to produce good generalisation. Therefore, the combination of these methods brings together the advantages of both approaches, producing a methodology that needs small training sets and produces accurate segmentation results. We test our methodology on the MICCAI 2009 left ventricle segmentation challenge database (containing 15 sequences for training, 15 for validation and 15 for testing), where our approach achieves the most accurate results in the semi-automated problem and state-of-the-art results for the fully automated challenge. Crown Copyright © 2016. Published by Elsevier B.V. All rights reserved.

Quartermaster 1 and C, Rate Training Manual.

ERIC Educational Resources Information Center

Naval Personnel Program Support Activity, Washington, DC.

The technical subject matter of the Quartermaster rating is presented in this training manual written to prepare men of the Navy and Naval Reserve for advancement examinations. The manual includes eleven chapters. Discussed are commonly used methods and procedures of operating magnetic compasses and gyrocompasses, determining a ship's position,…

Evaluating Outdoor Experiential Training for Leadership and Team Building.

ERIC Educational Resources Information Center

Williams, Scott D.; Graham, T. Scott; Baker, Bud

2003-01-01

Presents a model for calculating the return on investment in outdoor experiential training that focuses on pre- and posttraining behavior and business performance. Includes a method for converting data on turnover, absenteeism, productivity, quality, and job performance into monetary values to compute return. (Contains 54 references.) (SK)

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…

Building Staff Competencies and Selecting Communications Methods for Waste Management Programs.

ERIC Educational Resources Information Center

Richardson, John G.

The Waste Management Institute provided in-service training to interested County Extension agents in North Carolina to enable them to provide leadership in developing and delivering a comprehensive county-level waste management program. Training included technical, economic, environmental, social, and legal aspects of waste management presented in…

Construction of multi-agent mobile robots control system in the problem of persecution with using a modified reinforcement learning method based on neural networks

NASA Astrophysics Data System (ADS)

Patkin, M. L.; Rogachev, G. N.

2018-02-01

A method for constructing a multi-agent control system for mobile robots based on training with reinforcement using deep neural networks is considered. Synthesis of the management system is proposed to be carried out with reinforcement training and the modified Actor-Critic method, in which the Actor module is divided into Action Actor and Communication Actor in order to simultaneously manage mobile robots and communicate with partners. Communication is carried out by sending partners at each step a vector of real numbers that are added to the observation vector and affect the behaviour. Functions of Actors and Critic are approximated by deep neural networks. The Critics value function is trained by using the TD-error method and the Actor’s function by using DDPG. The Communication Actor’s neural network is trained through gradients received from partner agents. An environment in which a cooperative multi-agent interaction is present was developed, computer simulation of the application of this method in the control problem of two robots pursuing two goals was carried out.

[Simulation technologies in anesthesiology, resuscitation and intensive care: state of the problem].

PubMed

Pasechnik, I N; Skobelev, E I; Volkova, N N; Sal'nikov, P S

2014-01-01

The foundation of simulation technologies application in educational process is presented in the article. It is described difficulties during anesthesiologists-resuscitators training and education of physicians of not intensive care specialty in intensive care methods. It was emphasized that new innovative educational stage is formed at present time. It is simulation stage between preclinical and clinical stages. Theoretical foundation and practical evidence of efficiency of simulation training are expressed in detail.

Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.

PubMed

Vrooman, Henri A; Cocosco, Chris A; van der Lijn, Fedde; Stokking, Rik; Ikram, M Arfan; Vernooij, Meike W; Breteler, Monique M B; Niessen, Wiro J

2007-08-01

Conventional k-Nearest-Neighbor (kNN) classification, which has been successfully applied to classify brain tissue in MR data, requires training on manually labeled subjects. This manual labeling is a laborious and time-consuming procedure. In this work, a new fully automated brain tissue classification procedure is presented, in which kNN training is automated. This is achieved by non-rigidly registering the MR data with a tissue probability atlas to automatically select training samples, followed by a post-processing step to keep the most reliable samples. The accuracy of the new method was compared to rigid registration-based training and to conventional kNN-based segmentation using training on manually labeled subjects for segmenting gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) in 12 data sets. Furthermore, for all classification methods, the performance was assessed when varying the free parameters. Finally, the robustness of the fully automated procedure was evaluated on 59 subjects. The automated training method using non-rigid registration with a tissue probability atlas was significantly more accurate than rigid registration. For both automated training using non-rigid registration and for the manually trained kNN classifier, the difference with the manual labeling by observers was not significantly larger than inter-observer variability for all tissue types. From the robustness study, it was clear that, given an appropriate brain atlas and optimal parameters, our new fully automated, non-rigid registration-based method gives accurate and robust segmentation results. A similarity index was used for comparison with manually trained kNN. The similarity indices were 0.93, 0.92 and 0.92, for CSF, GM and WM, respectively. It can be concluded that our fully automated method using non-rigid registration may replace manual segmentation, and thus that automated brain tissue segmentation without laborious manual training is feasible.

Biofeedback for robotic gait rehabilitation.

PubMed

Lünenburger, Lars; Colombo, Gery; Riener, Robert

2007-01-23

Development and increasing acceptance of rehabilitation robots as well as advances in technology allow new forms of therapy for patients with neurological disorders. Robot-assisted gait therapy can increase the training duration and the intensity for the patients while reducing the physical strain for the therapist. Optimal training effects during gait therapy generally depend on appropriate feedback about performance. Compared to manual treadmill therapy, there is a loss of physical interaction between therapist and patient with robotic gait retraining. Thus, it is difficult for the therapist to assess the necessary feedback and instructions. The aim of this study was to define a biofeedback system for a gait training robot and test its usability in subjects without neurological disorders. To provide an overview of biofeedback and motivation methods applied in gait rehabilitation, previous publications and results from our own research are reviewed. A biofeedback method is presented showing how a rehabilitation robot can assess the patients' performance and deliver augmented feedback. For validation, three subjects without neurological disorders walked in a rehabilitation robot for treadmill training. Several training parameters, such as body weight support and treadmill speed, were varied to assess the robustness of the biofeedback calculation to confounding factors. The biofeedback values correlated well with the different activity levels of the subjects. Changes in body weight support and treadmill velocity had a minor effect on the biofeedback values. The synchronization of the robot and the treadmill affected the biofeedback values describing the stance phase. Robot-aided assessment and feedback can extend and improve robot-aided training devices. The presented method estimates the patients' gait performance with the use of the robot's existing sensors, and displays the resulting biofeedback values to the patients and therapists. The therapists can adapt the therapy and give further instructions to the patients. The feedback might help the patients to adapt their movement patterns and to improve their motivation. While it is assumed that these novel methods also improve training efficacy, the proof will only be possible with future in-depth clinical studies.

The effect of short-time active listening training.

PubMed

Tatsumi, Asami; Sumiyoshi, Kenichi; Kawaguchi, Hitomi; Sano, Yukiko

2010-01-01

We conducted mental health training incorporating active listening for managers at a site of a general chemical company with 1,400 employees. Our purpose was to clarify the effect of active listening training of 2.5h. All subjects were managers. The mental health training was given to 229 managers, 21 times from May 2007 until March 2008. Surveys were conducted from May 2007 to September 2008. The training sessions were conducted in a company meeting room, starting at 2:00 p.m. The importance and significance of listening as a mental health measure and methods of active listening were explained in the training. Afterward, role-playing and follow-up discussions were done twice each. In summaries, participants wrote down what they noticed about listening and gave group presentations. The instructor commented on the presentations, and ended the session by passing out and explaining a paper summarizing what is important in listening. The training was evaluated with a questionnaire distributed at the completion of training, and questionnaires on implementation of what was learned were distributed 1, 3, and 6 mo later. The Active Listening Attitude Scale (ALAS; composed of two scales for method of listening and listening attitude) developed by Mishima et al. was also used before and 1, 3, and 6 mo after the training. In questionnaires distributed on the same day after training, 60% of the 212 respondents said the training time was just right, and 30.1% felt it was too short. The difficulty level of the training was considered appropriate by 77.8%, and 79.7% intended to implement what they had learned. Overall satisfaction was high at 85.9%. In the questionnaire 6 mo after training, 81.4% of the 145 respondents remembered the content of the training and 49.7% said they were practicing what they had learned. They responded that their conversations with subordinates about non-work topics had increased, and communication and support at work had become smoother. ALAS was administered 4 times, from before training to 6 mo afterward, and analysis was conducted for 84 respondents. No significant difference was seen in attitude to listening, but the score increased compared with before the training. The score for method of listening increased significantly. The same results were seen when the analysis was expanded to 125 respondents before and 6 mo after the training. These results are similar to those reported previously for ALAS. The findings suggest that even short listening training of 2 h and 30 min has a positive lasting effect.

Apparatus and Method for Low-Temperature Training of Shape Memory Alloys

NASA Technical Reports Server (NTRS)

Swanger, A. M.; Fesmire, J. E.; Trigwell, S.; Gibson, T. L.; Williams, M. K.; Benafan, O.

2015-01-01

An apparatus and method for the low-temperature thermo-mechanical training of shape memory alloys (SMA) has been developed. The experimental SMA materials are being evaluated as prototypes for applicability in novel thermal management systems for future cryogenic applications. Alloys providing two-way actuation at cryogenic temperatures are the chief target. The mechanical training regimen was focused on the controlled movement of rectangular strips, with S-bend configurations, at temperatures as low as 30 K. The custom holding fixture included temperature sensors and a low heat-leak linear actuator with a magnetic coupling. The fixture was mounted to a Gifford-McMahon cryocooler providing up to 25 W of cooling power at 20 K and housed within a custom vacuum chamber. Operations included both training cycles and verification of shape memory movement. The system design and operation are discussed. Results of the training for select prototype alloys are presented.

Apparatus and method for low-temperature training of shape memory alloys

NASA Astrophysics Data System (ADS)

Swanger, A. M.; Fesmire, J. E.; Trigwell, S.; Gibson, T. L.; Williams, M. K.; Benafan, O.

2015-12-01

An apparatus and method for the low-temperature thermo-mechanical training of shape memory alloys (SMA) has been developed. The experimental SMA materials are being evaluated as prototypes for applicability in novel thermal management systems for future cryogenic applications. Alloys providing two-way actuation at cryogenic temperatures are the chief target. The mechanical training regimen was focused on the controlled movement of rectangular strips, with S-bend configurations, at temperatures as low as 30 K. The custom holding fixture included temperature sensors and a low heat-leak linear actuator with a magnetic coupling. The fixture was mounted to a Gifford-McMahon cryocooler providing up to 25 W of cooling power at 20 K and housed within a custom vacuum chamber. Operations included both training cycles and verification of shape memory movement. The system design and operation are discussed. Results of the training for select prototype alloys are presented.

Scaling of counter-current imbibition recovery curves using artificial neural networks

NASA Astrophysics Data System (ADS)

Jafari, Iman; Masihi, Mohsen; Nasiri Zarandi, Masoud

2018-06-01

Scaling imbibition curves are of great importance in the characterization and simulation of oil production from naturally fractured reservoirs. Different parameters such as matrix porosity and permeability, oil and water viscosities, matrix dimensions, and oil/water interfacial tensions have an effective on the imbibition process. Studies on the scaling imbibition curves along with the consideration of different assumptions have resulted in various scaling equations. In this work, using an artificial neural network (ANN) method, a novel technique is presented for scaling imbibition recovery curves, which can be used for scaling the experimental and field-scale imbibition cases. The imbibition recovery curves for training and testing the neural network were gathered through the simulation of different scenarios using a commercial reservoir simulator. In this ANN-based method, six parameters were assumed to have an effect on the imbibition process and were considered as the inputs for training the network. Using the ‘Bayesian regularization’ training algorithm, the network was trained and tested. Training and testing phases showed superior results in comparison with the other scaling methods. It is concluded that using the new technique is useful for scaling imbibition recovery curves, especially for complex cases, for which the common scaling methods are not designed.

Method for neural network control of motion using real-time environmental feedback

NASA Technical Reports Server (NTRS)

Buckley, Theresa M. (Inventor)

1997-01-01

A method of motion control for robotics and other automatically controlled machinery using a neural network controller with real-time environmental feedback. The method is illustrated with a two-finger robotic hand having proximity sensors and force sensors that provide environmental feedback signals. The neural network controller is taught to control the robotic hand through training sets using back- propagation methods. The training sets are created by recording the control signals and the feedback signal as the robotic hand or a simulation of the robotic hand is moved through a representative grasping motion. The data recorded is divided into discrete increments of time and the feedback data is shifted out of phase with the control signal data so that the feedback signal data lag one time increment behind the control signal data. The modified data is presented to the neural network controller as a training set. The time lag introduced into the data allows the neural network controller to account for the temporal component of the robotic motion. Thus trained, the neural network controlled robotic hand is able to grasp a wide variety of different objects by generalizing from the training sets.

Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error

PubMed Central

Dong, Erqian; Sun, Mingui; Jia, Wenyan; Zhang, Dengyi; Yuan, Zhiyong

2013-01-01

A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error. Based on minimum error principle and 2D color histogram, the θ-division methods were presented recently, but application of prior knowledge on them has not been explored. For the specific problem of wildfire segmentation, we collect sample images with manually labeled fire pixels. Then we define the probability function of error division to evaluate θ-division segmentations, and the optimal angle θ is determined by sample training. Performances in different color channels are compared, and the suitable channel is selected. To further improve the accuracy, the combination approach is presented with both θ-division and other segmentation methods such as GMM. Our approach is tested on real images, and the experiments prove its efficiency for wildfire segmentation. PMID:23878526

Transient classification in LIGO data using difference boosting neural network

NASA Astrophysics Data System (ADS)

Mukund, N.; Abraham, S.; Kandhasamy, S.; Mitra, S.; Philip, N. S.

2017-05-01

Detection and classification of transients in data from gravitational wave detectors are crucial for efficient searches for true astrophysical events and identification of noise sources. We present a hybrid method for classification of short duration transients seen in gravitational wave data using both supervised and unsupervised machine learning techniques. To train the classifiers, we use the relative wavelet energy and the corresponding entropy obtained by applying one-dimensional wavelet decomposition on the data. The prediction accuracy of the trained classifier on nine simulated classes of gravitational wave transients and also LIGO's sixth science run hardware injections are reported. Targeted searches for a couple of known classes of nonastrophysical signals in the first observational run of Advanced LIGO data are also presented. The ability to accurately identify transient classes using minimal training samples makes the proposed method a useful tool for LIGO detector characterization as well as searches for short duration gravitational wave signals.

"Rule of Thumb Methods No Longer Suffice": Development of British Coal Industry Education and Training 1900-circa 1970 and Lessons for Present-Day Education Policy-Makers

ERIC Educational Resources Information Center

Walker, Martyn A.

2015-01-01

This paper traces the origins and development of coal mining education and training in Britain from 1900 to the 1970s, by which time the coal industry had substantially declined. It looks at the progress from working-class self-help to national policy in support of education and training. The research makes use of college prospectuses and…

Enhancing Perception in Ethical Decision Making: A Method to Address Ill-Defined Training Domains

DTIC Science & Technology

2010-08-01

revolution in the ethics of warfare. Albany, NY: State University of New York Press. Craik , F.I., & Lockhart , R.S. (1972). Levels of processing ...trainees in meeting their shared training objectives. In this way, the Army can draw together the individual level interpretive processes with the...interpret their situation in a personally meaningful way (cf. Craik & Lockhart , 1972). There are many complexities present in a training situation

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

Changes in nucleus accumbens and neostriatal c-Fos and DARPP-32 immunoreactivity during different stages of food-reinforced instrumental training.

PubMed

Segovia, Kristen N; Correa, Merce; Lennington, Jessica B; Conover, Joanne C; Salamone, John D

2012-04-01

Nucleus accumbens is involved in several aspects of instrumental behavior, motivation and learning. Recent studies showed that dopamine (DA) release in the accumbens shell was significantly increased on the first day of training on a fixed ratio (FR) 5 schedule (i.e. the transition from FR1 to FR5) compared with those rats that continued FR1 training, even though the rats on their first day of FR5 training received less food reinforcement than rats continuing on the FR1 schedule. Additionally, the second day of FR5 responding was marked by a significant increase in DA release in accumbens core. The present studies employed immunohistochemical methods to characterize the changes in cellular markers of accumbens and neostriatal neural activity that occur during various stages of food-reinforced FR5 training. c-Fos and DARPP-32 immunoreactivity in accumbens shell was significantly increased on the first day of FR5 training, while core c-Fos and DARPP-32 expression showed large increases on the second day of FR5 training. Additional studies showed that c-Fos and DARPP-32 expression in neostriatum increased after more extensive training. Double-labeling studies with immunofluorescence methods indicated that increases in accumbens c-Fos and DARPP-32 expression were primarily seen in substance-P-positive neurons. These increases in accumbens c-Fos and DARPP-32 immunoreactivity seen during the initial phases of FR training may reflect several factors, including novelty, learning, stress or the presentation of a work-related challenge to the organism. Moreover, it appears that the separate subregions of the striatal complex are differentially activated at distinct phases of instrumental training. © 2012 The Authors. European Journal of Neuroscience © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

Online self-administered training for post-traumatic stress disorder treatment providers: design and methods for a randomized, prospective intervention study

PubMed Central

2012-01-01

This paper presents the rationale and methods for a randomized controlled evaluation of web-based training in motivational interviewing, goal setting, and behavioral task assignment. Web-based training may be a practical and cost-effective way to address the need for large-scale mental health training in evidence-based practice; however, there is a dearth of well-controlled outcome studies of these approaches. For the current trial, 168 mental health providers treating post-traumatic stress disorder (PTSD) were assigned to web-based training plus supervision, web-based training, or training-as-usual (control). A novel standardized patient (SP) assessment was developed and implemented for objective measurement of changes in clinical skills, while on-line self-report measures were used for assessing changes in knowledge, perceived self-efficacy, and practice related to cognitive behavioral therapy (CBT) techniques. Eligible participants were all actively involved in mental health treatment of veterans with PTSD. Study methodology illustrates ways of developing training content, recruiting participants, and assessing knowledge, perceived self-efficacy, and competency-based outcomes, and demonstrates the feasibility of conducting prospective studies of training efficacy or effectiveness in large healthcare systems. PMID:22583520

An interdisciplinary learning experience in neuro-optics.

PubMed

Anselmi, Francesca; Bertherat, Julien; Estebanez, Luc; van 't Hoff, Marcel; Zylbersztejn, Kathleen

2012-01-01

How can a Ph.D. student initially trained as a biologist take part in the development of a multineuronal recording method that requires cross interaction between physics, neurobiology and mathematics? Beyond student training in the laboratory, interdisciplinary research calls for a new style of academic training of young researchers. Here we present an innovative approach to graduate student academic training that fills the need for multidisciplinary knowledge and provides students, in addition, with a deeper understanding of the interdisciplinary approach to scientific research. Copyright © 2012 Elsevier Ltd. All rights reserved.

Auditory Learning Using a Portable Real-Time Vocoder: Preliminary Findings

PubMed Central

Pisoni, David B.

2015-01-01

Purpose Although traditional study of auditory training has been in controlled laboratory settings, interest has been increasing in more interactive options. The authors examine whether such interactive training can result in short-term perceptual learning, and the range of perceptual skills it impacts. Method Experiments 1 (N = 37) and 2 (N = 21) used pre- and posttest measures of speech and nonspeech recognition to find evidence of learning (within subject) and to compare the effects of 3 kinds of training (between subject) on the perceptual abilities of adults with normal hearing listening to simulations of cochlear implant processing. Subjects were given interactive, standard lab-based, or control training experience for 1 hr between the pre- and posttest tasks (unique sets across Experiments 1 & 2). Results Subjects receiving interactive training showed significant learning on sentence recognition in quiet task (Experiment 1), outperforming controls but not lab-trained subjects following training. Training groups did not differ significantly on any other task, even those directly involved in the interactive training experience. Conclusions Interactive training has the potential to produce learning in 1 domain (sentence recognition in quiet), but the particulars of the present training method (short duration, high complexity) may have limited benefits to this single criterion task. PMID:25674884

Electropalatography in home training of retracted articulation in a Swedish child with cleft palate: effect on articulation pattern and speech.

PubMed

Lohmander, Anette; Henriksson, Cecilia; Havstam, Christina

2010-12-01

The aim was to evaluate the effectiveness of electropalatography (EPG) in home training of persistent articulation errors in an 11-year-old Swedish girl born with isolated cleft palate. The /t/ and /s/ sounds were trained in a single subject design across behaviours during an eight month period using a portable training unit (PTU). Both EPG analysis and perceptual analysis showed an improvement in the production of /t/ and /s/ in words and sentences after therapy. Analysis of tongue-contact patterns showed that the participant had more normal articulatory patterns of /t/ and /s/ after just 2 months (after approximately 8 hours of training) respectively. No statistically significant transfer by means of intelligibility in connected speech was found. The present results show that EPG home training can be a sufficient method for treating persistent speech disorders associated with cleft palate. Methods for transfer from function (articulation) to activity (intelligibility) need to be explored.

Applying Open Source Game Engine for Building Visual Simulation Training System of Fire Fighting

NASA Astrophysics Data System (ADS)

Yuan, Diping; Jin, Xuesheng; Zhang, Jin; Han, Dong

There's a growing need for fire departments to adopt a safe and fair method of training to ensure that the firefighting commander is in a position to manage a fire incident. Visual simulation training systems, with their ability to replicate and interact with virtual fire scenarios through the use of computer graphics or VR, become an effective and efficient method for fire ground education. This paper describes the system architecture and functions of a visual simulated training system of fire fighting on oil storage, which adopting Delat3D, a open source game and simulation engine, to provide realistic 3D views. It presents that using open source technology provides not only the commercial-level 3D effects but also a great reduction of cost.

Infrared imagery acquisition process supporting simulation and real image training

NASA Astrophysics Data System (ADS)

O'Connor, John

2012-05-01

The increasing use of infrared sensors requires development of advanced infrared training and simulation tools to meet current Warfighter needs. In order to prepare the force, a challenge exists for training and simulation images to be both realistic and consistent with each other to be effective and avoid negative training. The US Army Night Vision and Electronic Sensors Directorate has corrected this deficiency by developing and implementing infrared image collection methods that meet the needs of both real image trainers and real-time simulations. The author presents innovative methods for collection of high-fidelity digital infrared images and the associated equipment and environmental standards. The collected images are the foundation for US Army, and USMC Recognition of Combat Vehicles (ROC-V) real image combat ID training and also support simulations including the Night Vision Image Generator and Synthetic Environment Core. The characteristics, consistency, and quality of these images have contributed to the success of these and other programs. To date, this method has been employed to generate signature sets for over 350 vehicles. The needs of future physics-based simulations will also be met by this data. NVESD's ROC-V image database will support the development of training and simulation capabilities as Warfighter needs evolve.

A comparative study of the effect of triage training by role-playing and educational video on the knowledge and performance of emergency medical service staffs in Iran.

PubMed

Aghababaeian, Hamidreza; Sedaghat, Soheila; Tahery, Noorallah; Moghaddam, Ali Sadeghi; Maniei, Mohammad; Bahrami, Nosrat; Ahvazi, Ladan Araghi

2013-12-01

Educating emergency medical staffs in triage skills is an important aspect of disaster preparedness. The aim of the study was to compare the effect of role-playing and educational video presentation on the learning and performance of the emergency medical service staffs in Khozestan, Iran A total of 144 emergency technicians were randomly classified into two groups. A researcher trained the first group using an educational video method and the second group with a role-playing method. Data were collected before, immediately, and 15 days after training using a questionnaire covering the three domains of demographic information, triage knowledge, and triage performance. The data were analyzed using defined knowledge and performance parameters. There was no significant difference between the two training methods on performance and immediate knowledge (P = .2), lasting knowledge (P=.05) and immediate performance (P = .35), but there was a statistical advantage for the role-playing method on lasting performance (P = .02). The two educational methods equally increase knowledge and performance, but the role-playing method may have a more desirable and lasting effect on performance.

Removing impulse bursts from images by training-based soft morphological filtering

NASA Astrophysics Data System (ADS)

Koivisto, Pertti T.; Astola, Jaakko T.; Lukin, Vladimir V.; Melnik, Vladimir P.; Tsymbal, Oleg V.

2001-08-01

The characteristics of impulse bursts in radar images are analyzed and a model for this noise is proposed. The model also takes into consideration the multiplicative noise present in radar images. As a case study, soft morphological filters utilizing a training-based optimization scheme are used for the noise removal. Different approaches for the training are discussed. It is shown that the methods used can provide an effective removal of impulse bursts. At the same time the multiplicative noise in images is also suppressed together with god edge and detail preservation. Numerical simulation results as well as examples of real radar images are presented.

An Annotated Bibliography of Isotonic Weight-Training Methods.

ERIC Educational Resources Information Center

Wysong, John V.

This literature study was conducted to compare and evaluate various types and techniques of weight lifting so that a weight lifting program could be selected or devised for a secondary school. Annotations of 32 research reports, journal articles, and monographs on isotonic strength training are presented. The literature in the first part of the…

Training Programme for Secondary School Principals: Evaluating its Effectiveness and Impact

ERIC Educational Resources Information Center

Hutton, Disraeli M.

2013-01-01

The article presents the evaluation of the training programme for secondary school principals conducted in the period between 2006 and 2009. A mixed method approach was used to conduct the summative evaluation with 28 graduate participants. For the impact evaluation, 15 of the graduates were interviewed three years after the programme was…

Sugar and Spice, Toads and Mice: Gender Issues in Family Therapy Training.

ERIC Educational Resources Information Center

Roberts, Janine McGill

1991-01-01

Presents methods to help family therapy trainees and clinicians articulate how to address gender in families. Describes four experiential exercises (including gender survival messages, gender framed circular questions, and process observation sheets) for training and use with clients. Can examine learnings about gender from families of origin,…

What Is a Day's Work? A Personnel Practices Guide for Household Employees and Employers.

ERIC Educational Resources Information Center

Bowen, Uvelia S. A.

The guide presents the policies of the Household Employment Association for Reevaluation and Training (HEART) for upgrading the status of household employment. An overview is given of the association's methods of recruitment, training (in its licensed, private trade school), community education, job development, and post-placement counseling. The…

Consultant Training Workshop for Change Agents. Participant's Manual.

ERIC Educational Resources Information Center

Carroll, Larry; And Others

This manual is designed for use in a workshop on leadership training. A discussion is given on the interaction between individuals that produces change in both personal behavior and gradual changes in organizational structures. Theories are presented on methods of bringing about desired change. The major theory under consideration is that of using…

The Effect of Alternative Training Methods on the Trouble-Shooting Performances of Maintenance Technicians.

ERIC Educational Resources Information Center

Schorgmayer, Helmut; Swanson, Richard A.

Results of a study to determine the effects of conceptual versus specific (traditional) training techniques on the trouble-shooting performance of maintenance technicians are presented. The research subjects were students at Bowling Green State University and citizens in Northwest Ohio with no post high school technical coursework. Those that…

A Regional Training Course in Natural Resources Management and Environmental Monitoring in Humid-Tropical Ecosystems.

ERIC Educational Resources Information Center

Ffolliott, Peter F.

Presented are the basic concepts, methods, and considerations relevant to formulating watershed resources goals, policies, and management practices. Intended primarily for resource managers and land use planners concerned with water resources, this regional training course manual emphasizes material which applies to humid and tropical ecosystems.…

Design and Implementation of a Resistance Training Program for Physical Educators

ERIC Educational Resources Information Center

Murray, Alison Morag; Murray-Hopkin, Pamella; Woods, George; Patel, Bhavin; Paluseo, Jeff

2013-01-01

Fitness development in physical education is most often attained via implementation of fitness training principles into school based settings. It is seldom attained via adherence to developmentally appropriate principles. The program presented in this article provides the physical educator with a method and the tools to attain both. This program…

Dissertation Research in Counseling Psychology: Topics, Methods, and Qualitative Training.

ERIC Educational Resources Information Center

Kopala, Mary; And Others

Findings from a survey that examined the vast scope of research training in counseling psychology programs and topical areas that are addressed in dissertation research are presented in this paper. The questionnaire included both open- and closed-ended questions and were completed by 166 recent graduates of doctoral programs in counseling…

Identifying presence of correlated errors in GRACE monthly harmonic coefficients using machine learning algorithms

NASA Astrophysics Data System (ADS)

Piretzidis, Dimitrios; Sra, Gurveer; Karantaidis, George; Sideris, Michael G.

2017-04-01

A new method for identifying correlated errors in Gravity Recovery and Climate Experiment (GRACE) monthly harmonic coefficients has been developed and tested. Correlated errors are present in the differences between monthly GRACE solutions, and can be suppressed using a de-correlation filter. In principle, the de-correlation filter should be implemented only on coefficient series with correlated errors to avoid losing useful geophysical information. In previous studies, two main methods of implementing the de-correlation filter have been utilized. In the first one, the de-correlation filter is implemented starting from a specific minimum order until the maximum order of the monthly solution examined. In the second one, the de-correlation filter is implemented only on specific coefficient series, the selection of which is based on statistical testing. The method proposed in the present study exploits the capabilities of supervised machine learning algorithms such as neural networks and support vector machines (SVMs). The pattern of correlated errors can be described by several numerical and geometric features of the harmonic coefficient series. The features of extreme cases of both correlated and uncorrelated coefficients are extracted and used for the training of the machine learning algorithms. The trained machine learning algorithms are later used to identify correlated errors and provide the probability of a coefficient series to be correlated. Regarding SVMs algorithms, an extensive study is performed with various kernel functions in order to find the optimal training model for prediction. The selection of the optimal training model is based on the classification accuracy of the trained SVM algorithm on the same samples used for training. Results show excellent performance of all algorithms with a classification accuracy of 97% - 100% on a pre-selected set of training samples, both in the validation stage of the training procedure and in the subsequent use of the trained algorithms to classify independent coefficients. This accuracy is also confirmed by the external validation of the trained algorithms using the hydrology model GLDAS NOAH. The proposed method meet the requirement of identifying and de-correlating only coefficients with correlated errors. Also, there is no need of applying statistical testing or other techniques that require prior de-correlation of the harmonic coefficients.

Biofeedback for robotic gait rehabilitation

PubMed Central

Lünenburger, Lars; Colombo, Gery; Riener, Robert

2007-01-01

Background Development and increasing acceptance of rehabilitation robots as well as advances in technology allow new forms of therapy for patients with neurological disorders. Robot-assisted gait therapy can increase the training duration and the intensity for the patients while reducing the physical strain for the therapist. Optimal training effects during gait therapy generally depend on appropriate feedback about performance. Compared to manual treadmill therapy, there is a loss of physical interaction between therapist and patient with robotic gait retraining. Thus, it is difficult for the therapist to assess the necessary feedback and instructions. The aim of this study was to define a biofeedback system for a gait training robot and test its usability in subjects without neurological disorders. Methods To provide an overview of biofeedback and motivation methods applied in gait rehabilitation, previous publications and results from our own research are reviewed. A biofeedback method is presented showing how a rehabilitation robot can assess the patients' performance and deliver augmented feedback. For validation, three subjects without neurological disorders walked in a rehabilitation robot for treadmill training. Several training parameters, such as body weight support and treadmill speed, were varied to assess the robustness of the biofeedback calculation to confounding factors. Results The biofeedback values correlated well with the different activity levels of the subjects. Changes in body weight support and treadmill velocity had a minor effect on the biofeedback values. The synchronization of the robot and the treadmill affected the biofeedback values describing the stance phase. Conclusion Robot-aided assessment and feedback can extend and improve robot-aided training devices. The presented method estimates the patients' gait performance with the use of the robot's existing sensors, and displays the resulting biofeedback values to the patients and therapists. The therapists can adapt the therapy and give further instructions to the patients. The feedback might help the patients to adapt their movement patterns and to improve their motivation. While it is assumed that these novel methods also improve training efficacy, the proof will only be possible with future in-depth clinical studies. PMID:17244363

Pre-trained convolutional neural networks as feature extractors for tuberculosis detection.

PubMed

Lopes, U K; Valiati, J F

2017-10-01

It is estimated that in 2015, approximately 1.8 million people infected by tuberculosis died, most of them in developing countries. Many of those deaths could have been prevented if the disease had been detected at an earlier stage, but the most advanced diagnosis methods are still cost prohibitive for mass adoption. One of the most popular tuberculosis diagnosis methods is the analysis of frontal thoracic radiographs; however, the impact of this method is diminished by the need for individual analysis of each radiography by properly trained radiologists. Significant research can be found on automating diagnosis by applying computational techniques to medical images, thereby eliminating the need for individual image analysis and greatly diminishing overall costs. In addition, recent improvements on deep learning accomplished excellent results classifying images on diverse domains, but its application for tuberculosis diagnosis remains limited. Thus, the focus of this work is to produce an investigation that will advance the research in the area, presenting three proposals to the application of pre-trained convolutional neural networks as feature extractors to detect the disease. The proposals presented in this work are implemented and compared to the current literature. The obtained results are competitive with published works demonstrating the potential of pre-trained convolutional networks as medical image feature extractors. Copyright © 2017 Elsevier Ltd. All rights reserved.

Fall prevention and safety communication training for foremen:Report of a pilot project designed to improve residential construction safety

PubMed Central

Kaskutas, Vicki; Dale, Ann Marie; Lipscomb, Hester; Evanoff, Brad

2013-01-01

Problem Falls from heights account for 64% of residential construction worker fatalities and 20% of missed work days. We hypothesized that worker safety would improve with foremen training in fall prevention and safety communication. Method Training priorities identified through foreman and apprentice focus groups and surveys were integrated into an 8-hour training. We piloted the training with ten foremen employed by a residential builder. Carpenter trainers contrasted proper methods to protect workers from falls with methods observed at the foremen’s worksites. Trainers presented methods to deliver toolbox talks and safety messages. Results from worksite observational audits (n=29) and foremen/crewmember surveys (n=97) administered before and after training were compared. Results We found that inexperienced workers are exposed to many fall hazards that they are often not prepared to negotiate. Fall protection is used inconsistently and worksite mentorship is often inadequate. Foremen feel pressured to meet productivity demands and some are unsure of the fall protection requirements. After the training, the frequency of daily mentoring and toolbox talks increased, and these talks became more interactive and focused on hazardous daily work tasks. Foremen observed their worksites for fall hazards more often. We observed increased compliance with fall protection and decreased unsafe behaviors during worksite audits. Discussion Designing the training to meet both foremen’s and crewmembers’ needs ensured the training was learner-centered and contextually-relevant. This pilot suggests that training residential foremen can increase use of fall protection, improve safety behaviors, and enhance on-the-job training and safety communication at their worksites. Impact on Industry Construction workers’ training should target safety communication and mentoring skills with workers who will lead work crews. Interventions at multiple levels are necessary to increase safety compliance in residential construction and decrease falls from heights. PMID:23398712

Training for older adults.

PubMed

Hautier, C; Bonnefoy, M

2007-07-01

Aging is associated with a reduction in physical fitness, with loss of muscular force and endurance. Physical activity has been demonstrated to provide substantial health benefits and to maintain functional independence and improve quality of life in older adults. Resistance training has a significant effect on muscle mass and force whereas endurance training increases oxygen transport and consumption capacities. This article presents training methods used in the literature and their associated effects in order to adapt training protocols to older populations. To maximise benefits from adoption of a program to which the patient can adhere for long time, it is important to tailor the exercise prescription to the individual.

Deferred discrimination algorithm (nibbling) for target filter management

NASA Astrophysics Data System (ADS)

Caulfield, H. John; Johnson, John L.

1999-07-01

A new method of classifying objects is presented. Rather than trying to form the classifier in one step or in one training algorithm, it is done in a series of small steps, or nibbles. This leads to an efficient and versatile system that is trained in series with single one-shot examples but applied in parallel, is implemented with single layer perceptrons, yet maintains its fully sequential hierarchical structure. Based on the nibbling algorithm, a basic new method of target reference filter management is described.

Doppler distortion correction based on microphone array and matching pursuit algorithm for a wayside train bearing monitoring system

NASA Astrophysics Data System (ADS)

Liu, Xingchen; Hu, Zhiyong; He, Qingbo; Zhang, Shangbin; Zhu, Jun

2017-10-01

Doppler distortion and background noise can reduce the effectiveness of wayside acoustic train bearing monitoring and fault diagnosis. This paper proposes a method of combining a microphone array and matching pursuit algorithm to overcome these difficulties. First, a dictionary is constructed based on the characteristics and mechanism of a far-field assumption. Then, the angle of arrival of the train bearing is acquired when applying matching pursuit to analyze the acoustic array signals. Finally, after obtaining the resampling time series, the Doppler distortion can be corrected, which is convenient for further diagnostic work. Compared with traditional single-microphone Doppler correction methods, the advantages of the presented array method are its robustness to background noise and its barely requiring pre-measuring parameters. Simulation and experimental study show that the proposed method is effective in performing wayside acoustic bearing fault diagnosis.

Training eye movements for visual search in individuals with macular degeneration

PubMed Central

Janssen, Christian P.; Verghese, Preeti

2016-01-01

We report a method to train individuals with central field loss due to macular degeneration to improve the efficiency of visual search. Our method requires participants to make a same/different judgment on two simple silhouettes. One silhouette is presented in an area that falls within the binocular scotoma while they are fixating the center of the screen with their preferred retinal locus (PRL); the other silhouette is presented diametrically opposite within the intact visual field. Over the course of 480 trials (approximately 6 hr), we gradually reduced the amount of time that participants have to make a saccade and judge the similarity of stimuli. This requires that they direct their PRL first toward the stimulus that is initially hidden behind the scotoma. Results from nine participants show that all participants could complete the task faster with training without sacrificing accuracy on the same/different judgment task. Although a majority of participants were able to direct their PRL toward the initially hidden stimulus, the ability to do so varied between participants. Specifically, six of nine participants made faster saccades with training. A smaller set (four of nine) made accurate saccades inside or close to the target area and retained this strategy 2 to 3 months after training. Subjective reports suggest that training increased awareness of the scotoma location for some individuals. However, training did not transfer to a different visual search task. Nevertheless, our study suggests that increasing scotoma awareness and training participants to look toward their scotoma may help them acquire missing information. PMID:28027382

Navy Recruit Training Optimization, Post 1980. Phase I: Current Assessment and Concept for the Future.

DTIC Science & Technology

1976-05-01

subjective in nature , -it provides a practical method for analyzing a mass of data, including data which can be utilized to predict probable future... nature and administered when the individual student is unable to maintain acceptable perfornance during the training cycle. Service-wide remedial...are directly related to the curriculum topics of recruit training. Others are of a broader nature related to general Navy problo•is which present a

A survey of simulators for palpation training.

PubMed

Zhang, Yan; Phillips, Roger; Ward, James; Pisharody, Sandhya

2009-01-01

Palpation is a widely used diagnostic method in medical practice. The sensitivity of palpation is highly dependent upon the skill of clinicians, which is often difficult to master. There is a need of simulators in palpation training. This paper summarizes important work and the latest achievements in simulation for palpation training. Three types of simulators; physical models, Virtual Reality (VR) based simulations, and hybrid (computerized and physical) simulators, are surveyed. Comparisons among different kinds of simulators are presented.

Is Marathon Training Harder than the Ironman Training? An ECO-method Comparison.

PubMed

Esteve-Lanao, Jonathan; Moreno-Pérez, Diego; Cardona, Claudia A; Larumbe-Zabala, Eneko; Muñoz, Iker; Sellés, Sergio; Cejuela, Roberto

2017-01-01

Purpose: To compare the absolute and relative training load of the Marathon (42k) and the Ironman (IM) training in recreational trained athletes. Methods: Fifteen Marathoners and Fifteen Triathletes participated in the study. Their performance level was the same relative to the sex's absolute winner at the race. No differences were presented neither in age, nor in body weight, height, BMI, running VO 2max max, or endurance training experience ( p > 0.05). They all trained systematically for their respective event (IM or 42k). Daily training load was recorded in a training log, and the last 16 weeks were compared. Before this, gas exchange and lactate metabolic tests were conducted in order to set individual training zones. The Objective Load Scale (ECOs) training load quantification method was applied. Differences between IM and 42k athletes' outcomes were assessed using Student's test and significance level was set at p < 0.05. Results: As expected, Competition Time was significantly different (IM 11 h 45 min ± 1 h 54 min vs. 42k 3 h 6 min ± 28 min, p < 0.001). Similarly, Training Weekly Avg Time (IM 12.9 h ± 2.6 vs. 42k 5.2 ± 0.9), and Average Weekly ECOs (IM 834 ± 171 vs. 42k 526 ± 118) were significantly higher in IM ( p < 0.001). However, the Ratio between Training Load and Training Time was superior for 42k runners when comparing ECOs (IM 65.8 ± 11.8 vs. 42k 99.3 ± 6.8) ( p < 0.001). Finally, all ratios between training time or load vs. Competition Time were superior for 42k ( p < 0.001) (Training Time/Race Time: IM 1.1 ± 0.3 vs. 42k 1.7 ± 0.5), (ECOs Training Load/Race Time: IM 1.2 ± 0.3 vs. 42k 2.9 ± 1.0). Conclusions: In spite of IM athletes' superior training time and total or weekly training load, when comparing the ratios between training load and training time, and training time or training load vs. competition time, the preparation of a 42k showed to be harder.

Is Marathon Training Harder than the Ironman Training? An ECO-method Comparison

PubMed Central

Esteve-Lanao, Jonathan; Moreno-Pérez, Diego; Cardona, Claudia A.; Larumbe-Zabala, Eneko; Muñoz, Iker; Sellés, Sergio; Cejuela, Roberto

2017-01-01

Purpose: To compare the absolute and relative training load of the Marathon (42k) and the Ironman (IM) training in recreational trained athletes. Methods: Fifteen Marathoners and Fifteen Triathletes participated in the study. Their performance level was the same relative to the sex's absolute winner at the race. No differences were presented neither in age, nor in body weight, height, BMI, running VO2max max, or endurance training experience (p > 0.05). They all trained systematically for their respective event (IM or 42k). Daily training load was recorded in a training log, and the last 16 weeks were compared. Before this, gas exchange and lactate metabolic tests were conducted in order to set individual training zones. The Objective Load Scale (ECOs) training load quantification method was applied. Differences between IM and 42k athletes' outcomes were assessed using Student's test and significance level was set at p < 0.05. Results: As expected, Competition Time was significantly different (IM 11 h 45 min ± 1 h 54 min vs. 42k 3 h 6 min ± 28 min, p < 0.001). Similarly, Training Weekly Avg Time (IM 12.9 h ± 2.6 vs. 42k 5.2 ± 0.9), and Average Weekly ECOs (IM 834 ± 171 vs. 42k 526 ± 118) were significantly higher in IM (p < 0.001). However, the Ratio between Training Load and Training Time was superior for 42k runners when comparing ECOs (IM 65.8 ± 11.8 vs. 42k 99.3 ± 6.8) (p < 0.001). Finally, all ratios between training time or load vs. Competition Time were superior for 42k (p < 0.001) (Training Time/Race Time: IM 1.1 ± 0.3 vs. 42k 1.7 ± 0.5), (ECOs Training Load/Race Time: IM 1.2 ± 0.3 vs. 42k 2.9 ± 1.0). Conclusions: In spite of IM athletes' superior training time and total or weekly training load, when comparing the ratios between training load and training time, and training time or training load vs. competition time, the preparation of a 42k showed to be harder. PMID:28611674

Learning and diagnosing faults using neural networks

NASA Technical Reports Server (NTRS)

Whitehead, Bruce A.; Kiech, Earl L.; Ali, Moonis

1990-01-01

Neural networks have been employed for learning fault behavior from rocket engine simulator parameters and for diagnosing faults on the basis of the learned behavior. Two problems in applying neural networks to learning and diagnosing faults are (1) the complexity of the sensor data to fault mapping to be modeled by the neural network, which implies difficult and lengthy training procedures; and (2) the lack of sufficient training data to adequately represent the very large number of different types of faults which might occur. Methods are derived and tested in an architecture which addresses these two problems. First, the sensor data to fault mapping is decomposed into three simpler mappings which perform sensor data compression, hypothesis generation, and sensor fusion. Efficient training is performed for each mapping separately. Secondly, the neural network which performs sensor fusion is structured to detect new unknown faults for which training examples were not presented during training. These methods were tested on a task of fault diagnosis by employing rocket engine simulator data. Results indicate that the decomposed neural network architecture can be trained efficiently, can identify faults for which it has been trained, and can detect the occurrence of faults for which it has not been trained.

Multi-Objective Aerodynamic Optimization of the Streamlined Shape of High-Speed Trains Based on the Kriging Model.

PubMed

Xu, Gang; Liang, Xifeng; Yao, Shuanbao; Chen, Dawei; Li, Zhiwei

2017-01-01

Minimizing the aerodynamic drag and the lift of the train coach remains a key issue for high-speed trains. With the development of computing technology and computational fluid dynamics (CFD) in the engineering field, CFD has been successfully applied to the design process of high-speed trains. However, developing a new streamlined shape for high-speed trains with excellent aerodynamic performance requires huge computational costs. Furthermore, relationships between multiple design variables and the aerodynamic loads are seldom obtained. In the present study, the Kriging surrogate model is used to perform a multi-objective optimization of the streamlined shape of high-speed trains, where the drag and the lift of the train coach are the optimization objectives. To improve the prediction accuracy of the Kriging model, the cross-validation method is used to construct the optimal Kriging model. The optimization results show that the two objectives are efficiently optimized, indicating that the optimization strategy used in the present study can greatly improve the optimization efficiency and meet the engineering requirements.

Surgical simulators in urological training--views of UK Training Programme Directors.

PubMed

Forster, James A; Browning, Anthony J; Paul, Alan B; Biyani, C Shekhar

2012-09-01

What's known on the subject? and What does the study add? The role of surgical simulators is currently being debated in urological and other surgical specialties. Simulators are not presently implemented in the UK urology training curriculum. The availability of simulators and the opinions of Training Programme Directors' (TPD) on their role have not been described. In the present questionnaire-based survey, the trainees of most, but not all, UK TPDs had access to laparoscopic simulators, and that all responding TPDs thought that simulators improved laparoscopic training. We hope that the present study will be a positive step towards making an agreement to formally introduce simulators into the UK urology training curriculum. To discuss the current situation on the use of simulators in surgical training. To determine the views of UK Urology Training Programme Directors (TPDs) on the availability and use of simulators in Urology at present, and to discuss the role that simulators may have in future training. An online-questionnaire survey was distributed to all UK Urology TPDs. In all, 16 of 21 TPDs responded. All 16 thought that laparoscopic simulators improved the quality of laparoscopic training. The trainees of 13 TPDs had access to a laparoscopic simulator (either in their own hospital or another hospital in the deanery). Most TPDs thought that trainees should use simulators in their free time, in quiet time during work hours, or in teaching sessions (rather than incorporated into the weekly timetable). We feel that the current apprentice-style method of training in urological surgery is out-dated. We think that all TPDs and trainees should have access to a simulator, and that a formal competency based simulation training programme should be incorporated into the urology training curriculum, with trainees reaching a minimum proficiency on a simulator before undertaking surgical procedures. © 2012 THE AUTHORS. BJU INTERNATIONAL © 2012 BJU INTERNATIONAL.

Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains

PubMed Central

Wang, Jiaxi; Wang, Huasheng; Wang, Zhongkai; Li, Jian; Lin, Ruixi; Xiao, Jie; Wu, Jianping

2017-01-01

This paper presents a 0–1 programming model aimed at obtaining the optimal inventory policy and transportation mode for maintenance spare parts of high-speed trains. To obtain the model parameters for occasionally-replaced spare parts, a demand estimation method based on the maintenance strategies of China’s high-speed railway system is proposed. In addition, we analyse the shortage time using PERT, and then calculate the unit time shortage cost from the viewpoint of train operation revenue. Finally, a real-world case study from Shanghai Depot is conducted to demonstrate our method. Computational results offer an effective and efficient decision support for inventory managers. PMID:28472097

Designing a composite correlation filter based on iterative optimization of training images for distortion invariant face recognition

NASA Astrophysics Data System (ADS)

Wang, Q.; Elbouz, M.; Alfalou, A.; Brosseau, C.

2017-06-01

We present a novel method to optimize the discrimination ability and noise robustness of composite filters. This method is based on the iterative preprocessing of training images which can extract boundary and detailed feature information of authentic training faces, thereby improving the peak-to-correlation energy (PCE) ratio of authentic faces and to be immune to intra-class variance and noise interference. By adding the training images directly, one can obtain a composite template with high discrimination ability and robustness for face recognition task. The proposed composite correlation filter does not involve any complicated mathematical analysis and computation which are often required in the design of correlation algorithms. Simulation tests have been conducted to check the effectiveness and feasibility of our proposal. Moreover, to assess robustness of composite filters using receiver operating characteristic (ROC) curves, we devise a new method to count the true positive and false positive rates for which the difference between PCE and threshold is involved.

Simple method for generating adjustable trains of picosecond electron bunches

NASA Astrophysics Data System (ADS)

Muggli, P.; Allen, B.; Yakimenko, V. E.; Park, J.; Babzien, M.; Kusche, K. P.; Kimura, W. D.

2010-05-01

A simple, passive method for producing an adjustable train of picosecond electron bunches is demonstrated. The key component of this method is an electron beam mask consisting of an array of parallel wires that selectively spoils the beam emittance. This mask is positioned in a high magnetic dispersion, low beta-function region of the beam line. The incoming electron beam striking the mask has a time/energy correlation that corresponds to a time/position correlation at the mask location. The mask pattern is transformed into a time pattern or train of bunches when the dispersion is brought back to zero downstream of the mask. Results are presented of a proof-of-principle experiment demonstrating this novel technique that was performed at the Brookhaven National Laboratory Accelerator Test Facility. This technique allows for easy tailoring of the bunch train for a particular application, including varying the bunch width and spacing, and enabling the generation of a trailing witness bunch.

Dichoptic training in adults with amblyopia: Additional stereoacuity gains over monocular training.

PubMed

Liu, Xiang-Yun; Zhang, Jun-Yun

2017-08-04

Dichoptic training is a recent focus of research on perceptual learning in adults with amblyopia, but whether and how dichoptic training is superior to traditional monocular training is unclear. Here we investigated whether dichoptic training could further boost visual acuity and stereoacuity in monocularly well-trained adult amblyopic participants. During dichoptic training the participants used the amblyopic eye to practice a contrast discrimination task, while a band-filtered noise masker was simultaneously presented in the non-amblyopic fellow eye. Dichoptic learning was indexed by the increase of maximal tolerable noise contrast for successful contrast discrimination in the amblyopic eye. The results showed that practice tripled maximal tolerable noise contrast in 13 monocularly well-trained amblyopic participants. Moreover, the training further improved stereoacuity by 27% beyond the 55% gain from previous monocular training, but unchanged visual acuity of the amblyopic eyes. Therefore our dichoptic training method may produce extra gains of stereoacuity, but not visual acuity, in adults with amblyopia after monocular training. Copyright © 2017 Elsevier Ltd. All rights reserved.

A New Experiment on Bengali Character Recognition

NASA Astrophysics Data System (ADS)

Barman, Sumana; Bhattacharyya, Debnath; Jeon, Seung-Whan; Kim, Tai-Hoon; Kim, Haeng-Kon

This paper presents a method to use View based approach in Bangla Optical Character Recognition (OCR) system providing reduced data set to the ANN classification engine rather than the traditional OCR methods. It describes how Bangla characters are processed, trained and then recognized with the use of a Backpropagation Artificial neural network. This is the first published account of using a segmentation-free optical character recognition system for Bangla using a view based approach. The methodology presented here assumes that the OCR pre-processor has presented the input images to the classification engine described here. The size and the font face used to render the characters are also significant in both training and classification. The images are first converted into greyscale and then to binary images; these images are then scaled to a fit a pre-determined area with a fixed but significant number of pixels. The feature vectors are then formed extracting the characteristics points, which in this case is simply a series of 0s and 1s of fixed length. Finally, an artificial neural network is chosen for the training and classification process.

Do infant Japanese macaques ( Macaca fuscata) categorize objects without specific training?

PubMed

Murai, Chizuko; Tomonaga, Masaki; Kamegai, Kimi; Terazawa, Naoko; Yamaguchi, Masami K

2004-01-01

In the present study, we examined whether infant Japanese macaques categorize objects without any training, using a similar technique also used with human infants (the paired-preference method). During the familiarization phase, subjects were presented twice with two pairs of different objects from one global-level category. During the test phase, they were presented twice with a pair consisting of a novel familiar-category object and a novel global-level category object. The subjects were tested with three global-level categories (animal, furniture, and vehicle). It was found that they showed significant novelty preferences as a whole, indicating that they processed similarities between familiarization objects and novel familiar-category objects. These results suggest that subjects responded distinctively to objects without training, indicating the possibility that infant macaques possess the capacity for categorization.

Adaptive skin detection based on online training

NASA Astrophysics Data System (ADS)

Zhang, Ming; Tang, Liang; Zhou, Jie; Rong, Gang

2007-11-01

Skin is a widely used cue for porn image classification. Most conventional methods are off-line training schemes. They usually use a fixed boundary to segment skin regions in the images and are effective only in restricted conditions: e.g. good lightness and unique human race. This paper presents an adaptive online training scheme for skin detection which can handle these tough cases. In our approach, skin detection is considered as a classification problem on Gaussian mixture model. For each image, human face is detected and the face color is used to establish a primary estimation of skin color distribution. Then an adaptive online training algorithm is used to find the real boundary between skin color and background color in current image. Experimental results on 450 images showed that the proposed method is more robust in general situations than the conventional ones.

Applied cognitive task analysis (ACTA): a practitioner's toolkit for understanding cognitive task demands.

PubMed

Militello, L G; Hutton, R J

1998-11-01

Cognitive task analysis (CTA) is a set of methods for identifying cognitive skills, or mental demands, needed to perform a task proficiently. The product of the task analysis can be used to inform the design of interfaces and training systems. However, CTA is resource intensive and has previously been of limited use to design practitioners. A streamlined method of CTA, Applied Cognitive Task Analysis (ACTA), is presented in this paper. ACTA consists of three interview methods that help the practitioner to extract information about the cognitive demands and skills required for a task. ACTA also allows the practitioner to represent this information in a format that will translate more directly into applied products, such as improved training scenarios or interface recommendations. This paper will describe the three methods, an evaluation study conducted to assess the usability and usefulness of the methods, and some directions for future research for making cognitive task analysis accessible to practitioners. ACTA techniques were found to be easy to use, flexible, and to provide clear output. The information and training materials developed based on ACTA interviews were found to be accurate and important for training purposes.

The AALAS Learning Library and its effectiveness as a tool for technician training.

PubMed

Parker-Thornburg, Jan; Grabeel, Pam; Butler, Mark

2009-06-01

Computer-based training is potentially a useful means of gaining proficiency in various aspects of laboratory animal science. The authors present an overview of the AALAS Learning Library (ALL), an internet-based training system that was established in 2003 and is widely used for technician certification training and for IACUC-mandated training. To evaluate the effectiveness of the ALL as a tool for general training and for achieving certification, the AALAS Online Learning Committee initiated a review of the online courses. The authors analyzed the numbers of users who accessed different types of courses and completed exams in those courses. They also correlated ALL usage with pass rates in technician certification exams. Results suggest that the ALL is a highly effective method of training, particularly for technician certification.

Effects of Masking Noise on Laryngeal Resistance for Breathy, Normal, and Pressed Voice

ERIC Educational Resources Information Center

Grillo, Elizabeth U.; Abbott, Katherine Verdolini; Lee, Timothy D.

2010-01-01

Purpose: The purpose of the present study was to explore the effects of masking noise on laryngeal resistance for breathy, normal, and pressed voice in vocally trained women. Method: Eighteen vocally trained women produced breathy, normal, and pressed voice across 7 fundamental frequencies during a repeated CV utterance of /pi/ under normal and…

Training of Healthcare Personnel to Improve Performance of Community-Based Antenatal Care Program

ERIC Educational Resources Information Center

Ohnishi, Mayumi; Nakamura, Keiko; Takano, Takehito

2007-01-01

Background: The present study was performed to evaluate the effectiveness of a training course designed to improve the knowledge, skills, and attitudes of healthcare personnel to allow them to provide a comprehensive community-based antenatal care (ANC) program in rural Paraguay. Methods: Sixty-eight of 110 healthcare personnel in the Caazapa…

New Perspectives for the Evaluation of Training Sessions in Self-Regulated Learning: Time-Series Analyses of Diary Data

ERIC Educational Resources Information Center

Schmitz, Bernhard; Wiese, Bettina S.

2006-01-01

The present study combines a standardized diary approach with time-series analysis methods to investigate the process of self-regulated learning. Based on a process-focused adaptation of Zimmerman's (2000) learning model, an intervention (consisting of four weekly training sessions) to increase self-regulated learning was developed. The diaries…

Coping with Challenging Behaviours of Children with Autism: Effectiveness of Brief Training Workshop for Frontline Staff in Special Education Settings

ERIC Educational Resources Information Center

Ling, C. Y. M.; Mak, W. W. S.

2012-01-01

Background: The present study examined the effectiveness of three staff training elements: psychoeducation (PE) on autism, introduction of functional behavioural analysis (FBA) and emotional management (EM), on the reaction of challenging behaviours for frontline staff towards children with autism in Hong Kong special education settings. Methods:…

Explanatory Item Response Modeling of Children's Change on a Dynamic Test of Analogical Reasoning

ERIC Educational Resources Information Center

Stevenson, Claire E.; Hickendorff, Marian; Resing, Wilma C. M.; Heiser, Willem J.; de Boeck, Paul A. L.

2013-01-01

Dynamic testing is an assessment method in which training is incorporated into the procedure with the aim of gauging cognitive potential. Large individual differences are present in children's ability to profit from training in analogical reasoning. The aim of this experiment was to investigate sources of these differences on a dynamic test of…

Health Professionals' Attitudes towards AOD-Related Work: Moving the Traditional Focus from Education and Training to Organizational Culture

ERIC Educational Resources Information Center

Skinner, Natalie; Roche, Ann M.; Freeman, Toby; Mckinnon, Anna

2009-01-01

Aim: This article presents a critical review of research on health professionals' attitudes towards alcohol and other drug (AOD)-related work relevant to both researchers and practitioners. It moves beyond education and training programs to examine the relevance of organizational culture in influencing attitudes. Method: A review of research…

Implementing Case Studies in Language Teacher Education and Professional Development

ERIC Educational Resources Information Center

Kelch, Kenneth; Malupa-Kim, Miralynn

2014-01-01

Case studies are often traditionally thought of as being used in medical, legal, and business training. Physicians have long been trained by the case method, as medical school students are presented with the particulars of a patient's medical problem and are tasked with providing a diagnosis and course of treatment. In the legal field, Stanford…

Access to Vocational Training in Three Sectors of the European Economy. Comparative Analysis. 2nd Edition. CEDEFOP Panorama.

ERIC Educational Resources Information Center

Lassibille, Gerard; Paul, Jean-Jacques

This report presents findings of a study of the theoretical and practical methods of access to continuing vocational training. It summarizes six reports that compare the following: the construction sector in Spain, France, Italy, and Luxembourg; the banking, insurance, commerce, and administration sectors in Germany, Ireland, the Netherlands, and…

Dissemination of psychosocial treatments for anxiety: the importance of taking a broad perspective.

PubMed

Taylor, Steven; Abramowitz, Jonathan S

2013-12-01

Dissemination methods are used to increase the likelihood that a given treatment or form of clinical practice is implemented by clinicians in the community. Therapist training in treatment methods is an important component of dissemination. Successful dissemination also requires that roadblocks to treatment implementation are identified and circumvented, such as misconceptions that clinicians might hold about a given treatment. The present article offers a commentary on the papers included in the special issue on treatment dissemination for anxiety disorders. Most papers focus on issues concerning the training and education of clinicians with regard to exposure therapy. Training and education is an important step but should be part of a broad, multifaceted approach. There are several other important methods of treatment dissemination, including methods developed and implemented with success by the pharmaceutical industry, might also be used to disseminate psychosocial therapies. Optimal dissemination likely requires a broad perspective in which multiple dissemination methods are considered for implementation. Copyright © 2013 Elsevier Ltd. All rights reserved.

Learn from every mistake! Hierarchical information combination in astronomy

NASA Astrophysics Data System (ADS)

Süveges, Maria; Fotopoulou, Sotiria; Coupon, Jean; Paltani, Stéphane; Eyer, Laurent; Rimoldini, Lorenzo

2017-06-01

Throughout the processing and analysis of survey data, a ubiquitous issue nowadays is that we are spoilt for choice when we need to select a methodology for some of its steps. The alternative methods usually fail and excel in different data regions, and have various advantages and drawbacks, so a combination that unites the strengths of all while suppressing the weaknesses is desirable. We propose to use a two-level hierarchy of learners. Its first level consists of training and applying the possible base methods on the first part of a known set. At the second level, we feed the output probability distributions from all base methods to a second learner trained on the remaining known objects. Using classification of variable stars and photometric redshift estimation as examples, we show that the hierarchical combination is capable of achieving general improvement over averaging-type combination methods, correcting systematics present in all base methods, is easy to train and apply, and thus, it is a promising tool in the astronomical ``Big Data'' era.

Planning Training Loads for the 400 M Hurdles in Three-Month Mesocycles using Artificial Neural Networks.

PubMed

Przednowek, Krzysztof; Iskra, Janusz; Wiktorowicz, Krzysztof; Krzeszowski, Tomasz; Maszczyk, Adam

2017-12-01

This paper presents a novel approach to planning training loads in hurdling using artificial neural networks. The neural models performed the task of generating loads for athletes' training for the 400 meters hurdles. All the models were calculated based on the training data of 21 Polish National Team hurdlers, aged 22.25 ± 1.96, competing between 1989 and 2012. The analysis included 144 training plans that represented different stages in the annual training cycle. The main contribution of this paper is to develop neural models for planning training loads for the entire career of a typical hurdler. In the models, 29 variables were used, where four characterized the runner and 25 described the training process. Two artificial neural networks were used: a multi-layer perceptron and a network with radial basis functions. To assess the quality of the models, the leave-one-out cross-validation method was used in which the Normalized Root Mean Squared Error was calculated. The analysis shows that the method generating the smallest error was the radial basis function network with nine neurons in the hidden layer. Most of the calculated training loads demonstrated a non-linear relationship across the entire competitive period. The resulting model can be used as a tool to assist a coach in planning training loads during a selected training period.

Planning Training Loads for the 400 M Hurdles in Three-Month Mesocycles using Artificial Neural Networks

PubMed Central

Iskra, Janusz; Wiktorowicz, Krzysztof; Krzeszowski, Tomasz; Maszczyk, Adam

2017-01-01

Abstract This paper presents a novel approach to planning training loads in hurdling using artificial neural networks. The neural models performed the task of generating loads for athletes’ training for the 400 meters hurdles. All the models were calculated based on the training data of 21 Polish National Team hurdlers, aged 22.25 ± 1.96, competing between 1989 and 2012. The analysis included 144 training plans that represented different stages in the annual training cycle. The main contribution of this paper is to develop neural models for planning training loads for the entire career of a typical hurdler. In the models, 29 variables were used, where four characterized the runner and 25 described the training process. Two artificial neural networks were used: a multi-layer perceptron and a network with radial basis functions. To assess the quality of the models, the leave-one-out cross-validation method was used in which the Normalized Root Mean Squared Error was calculated. The analysis shows that the method generating the smallest error was the radial basis function network with nine neurons in the hidden layer. Most of the calculated training loads demonstrated a non-linear relationship across the entire competitive period. The resulting model can be used as a tool to assist a coach in planning training loads during a selected training period. PMID:29339998

Cost-effectiveness of electronic training in domestic violence risk assessment: ODARA 101.

PubMed

Hilton, N Zoe; Ham, Elke

2015-03-01

The need for domestic violence training has increased with the development of evidence-based risk assessment tools, which must be scored correctly for valid application. Emerging research indicates that training in domestic violence risk assessment can increase scoring accuracy, but despite the increasing popularity of electronic training, it is not yet known whether it can be an effective method of risk assessment training. In the present study, 87 assessors from various professions had training in the Ontario Domestic Assault Risk Assessment either face-to-face or using an electronic training program. The two conditions were equally effective, as measured by performance on a post-training skill acquisition test. Completion rates were 100% for face-to-face and 86% for electronic training, an improvement over a previously evaluated manual-only condition. The estimated per-trainee cost of electronic training was one third that of face-to-face training and expected to decrease. More rigorous evaluations of electronic training for risk assessment are recommended. © The Author(s) 2014.

Rule Extracting based on MCG with its Application in Helicopter Power Train Fault Diagnosis

NASA Astrophysics Data System (ADS)

Wang, M.; Hu, N. Q.; Qin, G. J.

2011-07-01

In order to extract decision rules for fault diagnosis from incomplete historical test records for knowledge-based damage assessment of helicopter power train structure. A method that can directly extract the optimal generalized decision rules from incomplete information based on GrC was proposed. Based on semantic analysis of unknown attribute value, the granule was extended to handle incomplete information. Maximum characteristic granule (MCG) was defined based on characteristic relation, and MCG was used to construct the resolution function matrix. The optimal general decision rule was introduced, with the basic equivalent forms of propositional logic, the rules were extracted and reduction from incomplete information table. Combined with a fault diagnosis example of power train, the application approach of the method was present, and the validity of this method in knowledge acquisition was proved.

Cognitive task analysis: Techniques applied to airborne weapons training

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

Terranova, M.; Seamster, T.L.; Snyder, C.E.

1989-01-01

This is an introduction to cognitive task analysis as it may be used in Naval Air Systems Command (NAVAIR) training development. The focus of a cognitive task analysis is human knowledge, and its methods of analysis are those developed by cognitive psychologists. This paper explains the role that cognitive task analysis and presents the findings from a preliminary cognitive task analysis of airborne weapons operators. Cognitive task analysis is a collection of powerful techniques that are quantitative, computational, and rigorous. The techniques are currently not in wide use in the training community, so examples of this methodology are presented alongmore » with the results. 6 refs., 2 figs., 4 tabs.« less

A hybrid linear/nonlinear training algorithm for feedforward neural networks.

PubMed

McLoone, S; Brown, M D; Irwin, G; Lightbody, A

1998-01-01

This paper presents a new hybrid optimization strategy for training feedforward neural networks. The algorithm combines gradient-based optimization of nonlinear weights with singular value decomposition (SVD) computation of linear weights in one integrated routine. It is described for the multilayer perceptron (MLP) and radial basis function (RBF) networks and then extended to the local model network (LMN), a new feedforward structure in which a global nonlinear model is constructed from a set of locally valid submodels. Simulation results are presented demonstrating the superiority of the new hybrid training scheme compared to second-order gradient methods. It is particularly effective for the LMN architecture where the linear to nonlinear parameter ratio is large.

Modelling and regulating of cardio-respiratory response for the enhancement of interval training

PubMed Central

2014-01-01

Background The interval training method has been a well known exercise protocol which helps strengthen and improve one’s cardiovascular fitness. Purpose To develop an effective training protocol to improve cardiovascular fitness based on modelling and analysis of Heart Rate (HR) and Oxygen Uptake (VO2) dynamics. Methods In order to model the cardiorespiratory response to the onset and offset exercises, the (K4b2, Cosmed) gas analyzer was used to monitor and record the heart rate and oxygen uptake for ten healthy male subjects. An interval training protocol was developed for young health users and was simulated using a proposed RC switching model which was presented to accommodate the variations of the cardiorespiratory dynamics to running exercises. A hybrid system model was presented to describe the adaptation process and a multi-loop PI control scheme was designed for the tuning of interval training regime. Results By observing the original data for each subject, we can clearly identify that all subjects have similar HR and VO2 profiles. The proposed model is capable to simulate the exercise responses during onset and offset exercises; it ensures the continuity of the outputs within the interval training protocol. Under some mild assumptions, a hybrid system model can describe the adaption process and accordingly a multi-loop PI controller can be designed for the tuning of interval training protocol. The self-adaption feature of the proposed controller gives the exerciser the opportunity to reach his desired setpoints after a certain number of training sessions. Conclusions The established interval training protocol targets a range of 70-80% of HRmax which is mainly a training zone for the purpose of cardiovascular system development and improvement. Furthermore, the proposed multi-loop feedback controller has the potential to tune the interval training protocol according to the feedback from an individual exerciser. PMID:24499131

Online Bagging and Boosting

NASA Technical Reports Server (NTRS)

Oza, Nikunji C.

2005-01-01

Bagging and boosting are two of the most well-known ensemble learning methods due to their theoretical performance guarantees and strong experimental results. However, these algorithms have been used mainly in batch mode, i.e., they require the entire training set to be available at once and, in some cases, require random access to the data. In this paper, we present online versions of bagging and boosting that require only one pass through the training data. We build on previously presented work by presenting some theoretical results. We also compare the online and batch algorithms experimentally in terms of accuracy and running time.

Methods for the Determination of Bacteriological Contaminants in Drinking Water. Training Manual.

ERIC Educational Resources Information Center

Office of Water Program Operations (EPA), Cincinnati, OH. National Training and Operational Technology Center.

Material on the membrane filter methods and the most probable number method for determining bacteriological contaminants listed in the interim primary drinking water regulations is presented. This course is for bacteriologists and technicians with little or no experience in bacteriological procedures required to monitor drinking water, though…

Interactive computer training to teach discrete-trial instruction to undergraduates and special educators in Brazil: A replication and extension.

PubMed

Higbee, Thomas S; Aporta, Ana Paula; Resende, Alice; Nogueira, Mateus; Goyos, Celso; Pollard, Joy S

2016-12-01

Discrete-trial instruction (DTI) is a behavioral method of teaching young children with autism spectrum disorders (ASD) that has received a significant amount of research support. Because of a lack of qualified trainers in many areas of the world, researchers have recently begun to investigate alternative methods of training professionals to implement behavioral teaching procedures. One promising training method is interactive computer training, in which slides with recorded narration, video modeling, and embedded evaluation of content knowledge are used to teach a skill. In the present study, the effectiveness of interactive computer training developed by Pollard, Higbee, Akers, and Brodhead (2014), translated into Brazilian Portuguese, was evaluated with 4 university students (Study 1) and 4 special education teachers (Study 2). We evaluated the effectiveness of training on DTI skills during role-plays with research assistants (Study 1) and during DTI sessions with young children with ASD (Studies 1 and 2) using a multiple baseline design. All participants acquired DTI skills after interactive computer training, although 5 of 8 participants required some form of feedback to reach proficiency. Responding generalized to untaught teaching programs for all participants. We evaluated maintenance with the teachers in Study 2, and DTI skills were maintained with 3 of 4 participants. © 2016 Society for the Experimental Analysis of Behavior.

21st Century extravehicular activities: Synergizing past and present training methods for future spacewalking success

NASA Astrophysics Data System (ADS)

Moore, Sandra K.; Gast, Matthew A.

2010-10-01

Neil Armstrong's understated words, "That's one small step for man, one giant leap for mankind" were spoken from Tranquility Base forty years ago. Even today, those words resonate in the ears of millions, including many who had yet to be born when man first landed on the surface of the moon. By their very nature, and in the true spirit of exploration, extravehicular activities (EVAs) have generated much excitement throughout the history of manned spaceflight. From Ed White's first spacewalk in the June of 1965, to the first steps on the moon in 1969, to the expected completion of the International Space Station (ISS), the ability to exist, live and work in the vacuum of space has stood as a beacon of what is possible. It was NASA's first spacewalk that taught engineers on the ground the valuable lesson that successful spacewalking requires a unique set of learned skills. That lesson sparked extensive efforts to develop and define the training requirements necessary to ensure success. As focus shifted from orbital activities to lunar surface activities, the required skill set and subsequently the training methods changed. The requirements duly changed again when NASA left the moon for the last time in 1972 and have continued to evolve through the SkyLab, Space Shuttle, and ISS eras. Yet because the visits to the moon were so long ago, NASA's expertise in the realm of extra-terrestrial EVAs has diminished. As manned spaceflight again shifts its focus beyond low earth orbit, EVA's success will depend on the ability to synergize the knowledge gained over 40+ years of spacewalking to create a training method that allows a single crewmember to perform equally well, whether performing an EVA on the surface of the Moon, while in the vacuum of space, or heading for a rendezvous with Mars. This paper reviews NASA's past and present EVA training methods and extrapolates techniques from both to construct the basis for future EVA astronaut training.

21st Century Extravehicular Activities: Synergizing Past and Present Training Methods for Future Spacewalking Success

NASA Technical Reports Server (NTRS)

Moore, Sandra K.; Gast, Matthew A.

2009-01-01

Neil Armstrong's understated words, "That's one small step for man, one giant leap for mankind." were spoken from Tranquility Base forty years ago. Even today, those words resonate in the ears of millions, including many who had yet to be born when man first landed on the surface of the moon. By their very nature, and in the the spirit of exploration, extravehicular activities (EVAs) have generated much excitement throughout the history of manned spaceflight. From Ed White's first space walk in June of 1965, to the first steps on the moon in 1969, to the expected completion of the International Space Station (ISS), the ability to exist, live and work in the vacuum of space has stood as a beacon of what is possible. It was NASA's first spacewalk that taught engineers on the ground the valuable lesson that successful spacewalking requires a unique set of learned skills. That lesson sparked extensive efforts to develop and define the training requirements necessary to ensure success. As focus shifted from orbital activities to lunar surface activities, the required skill-set and subsequently the training methods, changed. The requirements duly changed again when NASA left the moon for the last time in 1972 and have continued to evolve through the Skylab, Space Shuttle; and ISS eras. Yet because the visits to the moon were so long ago, NASA's expertise in the realm of extra-terrestrial EVAs has diminished. As manned spaceflight again shifts its focus beyond low earth orbit, EVA success will depend on the ability to synergize the knowledge gained over 40+ years of spacewalking to create a training method that allows a single crewmember to perform equally well, whether performing an EVA on the surface of the Moon, while in the vacuum of space, or heading for a rendezvous with Mars. This paper reviews NASA's past and present EVA training methods and extrapolates techniques from both to construct the basis for future EVA astronaut training.

NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data.

PubMed

Jurtz, Vanessa; Paul, Sinu; Andreatta, Massimo; Marcatili, Paolo; Peters, Bjoern; Nielsen, Morten

2017-11-01

Cytotoxic T cells are of central importance in the immune system's response to disease. They recognize defective cells by binding to peptides presented on the cell surface by MHC class I molecules. Peptide binding to MHC molecules is the single most selective step in the Ag-presentation pathway. Therefore, in the quest for T cell epitopes, the prediction of peptide binding to MHC molecules has attracted widespread attention. In the past, predictors of peptide-MHC interactions have primarily been trained on binding affinity data. Recently, an increasing number of MHC-presented peptides identified by mass spectrometry have been reported containing information about peptide-processing steps in the presentation pathway and the length distribution of naturally presented peptides. In this article, we present NetMHCpan-4.0, a method trained on binding affinity and eluted ligand data leveraging the information from both data types. Large-scale benchmarking of the method demonstrates an increase in predictive performance compared with state-of-the-art methods when it comes to identification of naturally processed ligands, cancer neoantigens, and T cell epitopes. Copyright © 2017 by The American Association of Immunologists, Inc.

Pilates and Proprioceptive Neuromuscular Facilitation Methods Induce Similar Strength Gains but Different Neuromuscular Adaptations in Elderly Women.

PubMed

Teixeira de Carvalho, Fabiana; de Andrade Mesquita, Laiana Sepúlveda; Pereira, Rafael; Neto, Osmar Pinto; Amaro Zangaro, Renato

2017-01-01

Background/Study Context: The aging process is associated with a decline in muscle mass, strength, and conditioning. Two training methods that may be useful to improve muscle function are Pilates and proprioceptive neuromuscular facilitation (PNF). Thus, the present study aimed to compare the influence of training programs using Pilates and PNF methods with elderly women. Sixty healthy elderly women were randomly divided into three groups: Pilates group, PNF group, and control group. Pilates and PNF groups underwent 1-month training programs with Pilates and PNF methods, respectively. The control group received no intervention during the 1 month. The maximal isometric force levels from knee extension and flexion, as well as the electromyography (EMG) signals from quadriceps and biceps femoris, were recorded before and after the 1-month intervention period. A two-way analysis of variance revealed that the Pilates and PNF methods induced similar strength gains from knee flexors and extensors, but Pilates exhibited greater low-gamma drive (i.e., oscillations in 30-60 Hz) in the EMG power spectrum after the training period. These results support use of both Pilates and PNF methods to enhance lower limb muscle strength in older groups, which is very important for gait, postural stability, and performance of daily life activities.

An Examination of Behavioral Rehearsal During Consultation as a Predictor of Training Outcomes

PubMed Central

Kendall, Philip C.; Ringle, Vanesa A.; Read, Kendra L.; Brodman, Douglas A.; Pimentel, Sandra S.; Beidas, Rinad S.

2013-01-01

The training literature suggests that ongoing support following initial therapist training enhances training outcomes, yet little is known about what occurs during ongoing support and what accounts for its effectiveness. The present study examined consultation sessions provided to 99 clinicians following training in cognitive-behavioral therapy for youth anxiety. The 104 recorded consultation sessions were coded for content and consultative methods. It was hypothesized that behavioral rehearsal (an active learning technique) would predict therapist adherence, skill, self-efficacy, and satisfaction at post-consultation. Regression analyses found no significant relation, however, clinician involvement during consultation sessions positively moderated the relationship between behavioral rehearsals and skill. Implications, limitations, and future directions are discussed. PMID:23616234

Preparing tomorrow's behavioral medicine scientists and practitioners: a survey of future directions for education and training.

PubMed

Goldstein, Carly M; Minges, Karl E; Schoffman, Danielle E; Cases, Mallory G

2017-02-01

Behavioral medicine training is due for an overhaul given the rapid evolution of the field, including a tight funding climate, changing job prospects, and new research and industry collaborations. The purpose of the present study was to collect responses from trainee and practicing members of a multidisciplinary professional society about their perceptions of behavioral medicine training and their suggestions for changes to training for future behavioral medicine scientists and practitioners. A total of 162 faculty and 110 students (total n = 272) completed a web-based survey on strengths of their current training programs and ideas for changes. Using a mixed-methods approach, the survey findings are used to highlight seven key areas for improved preparation of the next generation of behavioral medicine scientists and practitioners, which are grant writing, interdisciplinary teamwork, advanced statistics and methods, evolving research program, publishable products from coursework, evolution and use of theory, and non-traditional career paths.

Effects of neurofeedback training on the brain wave of adults with forward head posture.

PubMed

Oh, Hyun-Ju; Song, Gui-Bin

2016-10-01

[Purpose] The purpose of the present study was to examine the effects of neurofeedback training on electroencephalogram changes in the cervical spine in adults with forward head posture through x-ray. [Subjects and Methods] The subjects of the study were 40 college students with forward head posture, randomly divided into a neurofeedback training group (NFTG, n=20) and a control group (CG, n=20). The neurofeedback training group performed six sessions of pottery and archery games, each for two minutes, three times per week for four weeks, while using the neurofeedback system. [Results] There were significant effects within and between groups in terms of the Delta wave, the Theta wave, the Alpha wave, the Beta wave, or the sensory motor rhythm. Especially, the Delta wave, Beta wave, and the sensory motor rhythm were showed significant effects between the groups. [Conclusion] It is thought that neurofeedback training, a training approach to self-regulate brain waves, enhances concentration and relaxation without stress, as well as an increase in attention, memory, and verbal cognitive performance. Therefore an effective intervention method to improve neck pain and daily activities.

Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network

NASA Astrophysics Data System (ADS)

Negahdar, Mohammadreza; Beymer, David; Syeda-Mahmood, Tanveer

2018-02-01

Deep Learning models such as Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in 2D medical image analysis. In clinical practice; however, most analyzed and acquired medical data are formed of 3D volumes. In this paper, we present a fast and efficient 3D lung segmentation method based on V-net: a purely volumetric fully CNN. Our model is trained on chest CT images through volume to volume learning, which palliates overfitting problem on limited number of annotated training data. Adopting a pre-processing step and training an objective function based on Dice coefficient addresses the imbalance between the number of lung voxels against that of background. We have leveraged Vnet model by using batch normalization for training which enables us to use higher learning rate and accelerates the training of the model. To address the inadequacy of training data and obtain better robustness, we augment the data applying random linear and non-linear transformations. Experimental results on two challenging medical image data show that our proposed method achieved competitive result with a much faster speed.

Effects of equal-volume resistance training with different training frequencies in muscle size and strength in trained men

PubMed Central

Fisher, James; Steele, James; Campos, Mario H.; Silva, Marcelo H.; Paoli, Antonio; Giessing, Jurgen; Bottaro, Martim

2018-01-01

Background The objective of the present study was to compare the effects of equal-volume resistance training (RT) performed with different training frequencies on muscle size and strength in trained young men. Methods Sixteen men with at least one year of RT experience were divided into two groups, G1 and G2, that trained each muscle group once and twice a week, respectively, for 10 weeks. Elbow flexor muscle thickness (MT) was measured using a B-Mode ultrasound and concentric peak torque of elbow extensors and flexors were assessed by an isokinetic dynamometer. Results ANOVA did not reveal group by time interactions for any variable, indicating no difference between groups for the changes in MT or PT of elbow flexors and extensors. Notwithstanding, MT of elbow flexors increased significantly (3.1%, P < 0.05) only in G1. PT of elbow flexors and extensors did not increase significantly for any group. Discussion The present study suggest that there were no differences in the results promoted by equal-volume resistance training performed once or twice a week on upper body muscle strength in trained men. Only the group performing one session per week significantly increased the MT of their elbow flexors. However, with either once or twice a week training, adaptations appear largely minimal in previously trained males.

3D active shape models of human brain structures: application to patient-specific mesh generation

NASA Astrophysics Data System (ADS)

Ravikumar, Nishant; Castro-Mateos, Isaac; Pozo, Jose M.; Frangi, Alejandro F.; Taylor, Zeike A.

2015-03-01

The use of biomechanics-based numerical simulations has attracted growing interest in recent years for computer-aided diagnosis and treatment planning. With this in mind, a method for automatic mesh generation of brain structures of interest, using statistical models of shape (SSM) and appearance (SAM), for personalised computational modelling is presented. SSMs are constructed as point distribution models (PDMs) while SAMs are trained using intensity profiles sampled from a training set of T1-weighted magnetic resonance images. The brain structures of interest are, the cortical surface (cerebrum, cerebellum & brainstem), lateral ventricles and falx-cerebri membrane. Two methods for establishing correspondences across the training set of shapes are investigated and compared (based on SSM quality): the Coherent Point Drift (CPD) point-set registration method and B-spline mesh-to-mesh registration method. The MNI-305 (Montreal Neurological Institute) average brain atlas is used to generate the template mesh, which is deformed and registered to each training case, to establish correspondence over the training set of shapes. 18 healthy patients' T1-weightedMRimages form the training set used to generate the SSM and SAM. Both model-training and model-fitting are performed over multiple brain structures simultaneously. Compactness and generalisation errors of the BSpline-SSM and CPD-SSM are evaluated and used to quantitatively compare the SSMs. Leave-one-out cross validation is used to evaluate SSM quality in terms of these measures. The mesh-based SSM is found to generalise better and is more compact, relative to the CPD-based SSM. Quality of the best-fit model instance from the trained SSMs, to test cases are evaluated using the Hausdorff distance (HD) and mean absolute surface distance (MASD) metrics.

Effects of Progressive Body Weight Support Treadmill Forward and Backward Walking Training on Stroke Patients' Affected Side Lower Extremity's Walking Ability.

PubMed

Kim, Kyunghoon; Lee, Sukmin; Lee, Kyoungbo

2014-12-01

[Purpose] The purpose of the present study was to examine the effects of progressive body weight supported treadmill forward and backward walking training (PBWSTFBWT), progressive body weight supported treadmill forward walking training (PBWSTFWT), progressive body weight supported treadmill backward walking training (PBWSTBWT), on stroke patients' affected side lower extremity's walking ability. [Subjects and Methods] A total of 36 chronic stroke patients were divided into three groups with 12 subjects in each group. Each of the groups performed one of the progressive body weight supported treadmill training methods for 30 minute, six times per week for three weeks, and then received general physical therapy without any other intervention until the follow-up tests. For the assessment of the affected side lower extremity's walking ability, step length of the affected side, stance phase of the affected side, swing phase of the affected side, single support of the affected side, and step time of the affected side were measured using optogait and the symmetry index. [Results] In the within group comparisons, all the three groups showed significant differences between before and after the intervention and in the comparison of the three groups, the PBWSTFBWT group showed more significant differences in all of the assessed items than the other two groups. [Conclusion] In the present study progressive body weight supported treadmill training was performed in an environment in which the subjects were actually walked, and PBWSTFBWT was more effective at efficiently training stroke patients' affected side lower extremity's walking ability.

Four years into the Indian ocean field epidemiology training programme

PubMed Central

Halm, Ariane; Seyler, Thomas; Mohamed, Sainda; Ali Mbaé, Saindou Ben; Randrianarivo-Solofoniaina, Armand Eugène; Ratsitorahina, Maherisoa; Nundlall, Ram; Aboobakar, Shahina; Bibi, Jastin; Filleul, Laurent; Piola, Patrice; Razafimandimby, Harimahefa; Rasamoelina, Harena; Valenciano, Marta; Moren, Alain; Cardinale, Eric; Lepec, Richard; Flachet, Loïc

2017-01-01

Introduction Following the 2005-6 chikungunya outbreak, a project to strengthen regional Public Health preparedness in the Indian Ocean was implemented. It includes the Comoros, Madagascar, Mauritius, Reunion (France) and Seychelles. A Field Epidemiology Training Programme (FETP-OI) was started in 2011 to develop a pool of well-trained intervention epidemiologists. Methods The FETP-OI consists of two years of supervised, learning-by-doing, on-the-job training at national sites involved in disease surveillance and response. It includes work placements at the Madagascar Pasteur Institute and the French regional epidemiology unit in Reunion and up to three training courses per year. Training objectives include epidemiological surveillance, outbreak investigations, research studies, scientific communication and transfer of competencies. Results In four years, two cohorts of in total 15 fellows originating from four countries followed the FETP-OI. They led 42 surveillance projects (71% routine management, 14% evaluations, 12% setup, 3% other) and investigated 36 outbreak alerts, 58% of them in Madagascar; most investigations (72%) concerned foodborne pathogens, plague or malaria. Fellows performed 18 studies (44% descriptive analyses, 22% disease risk factors, and 34% on other subjects), and presented results during regional and international conferences through 26 oral and 15 poster presentations. Four articles were published in regional Public Health bulletins and several scientific manuscripts are in process. Conclusion The FETP-OI has created a regional force of intervention consisting of field epidemiologists and trained supervisors using the same technical language and epidemiological methods. The third cohort is now ongoing. Technically and financially sustainable FETP-OI projects help addressing public health priorities of the Indian Ocean. PMID:28674588

Training models of anatomic shape variability

PubMed Central

Merck, Derek; Tracton, Gregg; Saboo, Rohit; Levy, Joshua; Chaney, Edward; Pizer, Stephen; Joshi, Sarang

2008-01-01

Learning probability distributions of the shape of anatomic structures requires fitting shape representations to human expert segmentations from training sets of medical images. The quality of statistical segmentation and registration methods is directly related to the quality of this initial shape fitting, yet the subject is largely overlooked or described in an ad hoc way. This article presents a set of general principles to guide such training. Our novel method is to jointly estimate both the best geometric model for any given image and the shape distribution for the entire population of training images by iteratively relaxing purely geometric constraints in favor of the converging shape probabilities as the fitted objects converge to their target segmentations. The geometric constraints are carefully crafted both to obtain legal, nonself-interpenetrating shapes and to impose the model-to-model correspondences required for useful statistical analysis. The paper closes with example applications of the method to synthetic and real patient CT image sets, including same patient male pelvis and head and neck images, and cross patient kidney and brain images. Finally, we outline how this shape training serves as the basis for our approach to IGRT∕ART. PMID:18777919

[Clinical laboratory medicine: continuous amelioration with a book of objectives and satisfaction survey].

PubMed

Reix, Nathalie; Agin, Arnaud; Bahram, Seiamak; Dali-Youcef, Nassim; Grucker, Daniel; Jaulhac, Benoît; Lepiller, Quentin; Lessinger, Jean-Marc; Mauvieux, Laurent; Monier, Laurie; Schramm, Frédéric; Stoll-Keller, Françoise; Vallat, Laurent; Ludes, Bertrand; Candolfi, Ermanno; Filisetti, Denis

2015-01-01

We report in this publication the use of two educational tools, a questionnaire of satisfaction and a training book, to improve the training of students during their internship in clinical laboratory at the "Pôle de biologie des Hôpitaux universitaires de Strasbourg" in France. First, the ongoing training was assessed by the interns with a questionnaire measuring satisfaction. The analysis of this questionnaire identified four key points to improve: 1) define the teaching objectives, 2) organize the training with a schedule, 3) revise certain teaching methods and 4) ensure better integration of the students in the team of medical biologists. After this assessment, we implemented a training book to answer these four points. Indeed, the training book presents the objectives, the schedule of training, and how to validate the educational objectives. A new assessment was performed again using the same methodology. Results showed an improvement in student satisfaction from 74 to 88 %. The questionnaire of satisfaction and the training book are presented in this article. The aim of the assessment of training combined with the training book is to incite the actors of the training (students and teachers) to continually improve the training. The objectives of the Pôle de Biologie are to obtain an 80 % satisfaction rate during the 6 months trainings and to reduce or eliminate dissatisfaction, and finally to ensure the validation by students of 80 to 100 % of their predetermined objectives.

Clinical simulation training improves the clinical performance of Chinese medical students

PubMed Central

Zhang, Ming-ya; Cheng, Xin; Xu, An-ding; Luo, Liang-ping; Yang, Xuesong

2015-01-01

Background Modern medical education promotes medical students’ clinical operating capacity rather than the mastery of theoretical knowledge. To accomplish this objective, clinical skill training using various simulations was introduced into medical education to cultivate creativity and develop the practical ability of students. However, quantitative analysis of the efficiency of clinical skill training with simulations is lacking. Methods In the present study, we compared the mean scores of medical students (Jinan University) who graduated in 2013 and 2014 on 16 stations between traditional training (control) and simulative training groups. In addition, in a clinical skill competition, the objective structured clinical examination (OSCE) scores of participating medical students trained using traditional and simulative training were compared. The data were statistically analyzed and qualitatively described. Results The results revealed that simulative training could significantly enhance the graduate score of medical students compared with the control. The OSCE scores of participating medical students in the clinical skill competition, trained using simulations, were dramatically higher than those of students trained through traditional methods, and we also observed that the OSCE marks were significantly increased for the same participant after simulative training for the clinical skill competition. Conclusions Taken together, these data indicate that clinical skill training with a variety of simulations could substantially promote the clinical performance of medical students and optimize the resources used for medical education, although a precise analysis of each specialization is needed in the future. PMID:26478142

Training to improve manual control in 7-8 and 10-12 year old children: Training eliminates performance differences between ages.

PubMed

Snapp-Childs, Winona; Fath, Aaron J; Watson, Carol A; Flatters, Ian; Mon-Williams, Mark; Bingham, Geoffrey P

2015-10-01

Many children have difficulty producing movements well enough to improve in perceptuo-motor learning. We have developed a training method that supports active movement generation to allow improvement in a 3D tracing task requiring good compliance control. We previously tested 7-8 year old children who exhibited poor performance and performance differences before training. After training, performance was significantly improved and performance differences were eliminated. According to the Dynamic Systems Theory of development, appropriate support can enable younger children to acquire the ability to perform like older children. In the present study, we compared 7-8 and 10-12 year old school children and predicted that younger children would show reduced performance that was nonetheless amenable to training. Indeed, the pre-training performance of the 7-8 year olds was worse than that of the 10-12 year olds, but post-training performance was equally good for both groups. This was similar to previous results found using this training method for children with DCD and age-matched typically developing children. We also found in a previous study of 7-8 year old school children that training in the 3D tracing task transferred to a 2D drawing task. We now found similar transfer for the 10-12 year olds. Copyright © 2015 Elsevier B.V. All rights reserved.

Real-time action recognition using a multilayer descriptor with variable size

NASA Astrophysics Data System (ADS)

Alcantara, Marlon F.; Moreira, Thierry P.; Pedrini, Helio

2016-01-01

Video analysis technology has become less expensive and more powerful in terms of storage resources and resolution capacity, promoting progress in a wide range of applications. Video-based human action detection has been used for several tasks in surveillance environments, such as forensic investigation, patient monitoring, medical training, accident prevention, and traffic monitoring, among others. We present a method for action identification based on adaptive training of a multilayer descriptor applied to a single classifier. Cumulative motion shapes (CMSs) are extracted according to the number of frames present in the video. Each CMS is employed as a self-sufficient layer in the training stage but belongs to the same descriptor. A robust classification is achieved through individual responses of classifiers for each layer, and the dominant result is used as a final outcome. Experiments are conducted on five public datasets (Weizmann, KTH, MuHAVi, IXMAS, and URADL) to demonstrate the effectiveness of the method in terms of accuracy in real time.

Sensorless control for permanent magnet synchronous motor using a neural network based adaptive estimator

NASA Astrophysics Data System (ADS)

Kwon, Chung-Jin; Kim, Sung-Joong; Han, Woo-Young; Min, Won-Kyoung

2005-12-01

The rotor position and speed estimation of permanent-magnet synchronous motor(PMSM) was dealt with. By measuring the phase voltages and currents of the PMSM drive, two diagonally recurrent neural network(DRNN) based observers, a neural current observer and a neural velocity observer were developed. DRNN which has self-feedback of the hidden neurons ensures that the outputs of DRNN contain the whole past information of the system even if the inputs of DRNN are only the present states and inputs of the system. Thus the structure of DRNN may be simpler than that of feedforward and fully recurrent neural networks. If the backpropagation method was used for the training of the DRNN the problem of slow convergence arise. In order to reduce this problem, recursive prediction error(RPE) based learning method for the DRNN was presented. The simulation results show that the proposed approach gives a good estimation of rotor speed and position, and RPE based training has requires a shorter computation time compared to backpropagation based training.

Data-driven, Interpretable Photometric Redshifts Trained on Heterogeneous and Unrepresentative Data

NASA Astrophysics Data System (ADS)

Leistedt, Boris; Hogg, David W.

2017-03-01

We present a new method for inferring photometric redshifts in deep galaxy and quasar surveys, based on a data-driven model of latent spectral energy distributions (SEDs) and a physical model of photometric fluxes as a function of redshift. This conceptually novel approach combines the advantages of both machine learning methods and template fitting methods by building template SEDs directly from the spectroscopic training data. This is made computationally tractable with Gaussian processes operating in flux-redshift space, encoding the physics of redshifts and the projection of galaxy SEDs onto photometric bandpasses. This method alleviates the need to acquire representative training data or to construct detailed galaxy SED models; it requires only that the photometric bandpasses and calibrations be known or have parameterized unknowns. The training data can consist of a combination of spectroscopic and deep many-band photometric data with reliable redshifts, which do not need to entirely spatially overlap with the target survey of interest or even involve the same photometric bands. We showcase the method on the I-magnitude-selected, spectroscopically confirmed galaxies in the COSMOS field. The model is trained on the deepest bands (from SUBARU and HST) and photometric redshifts are derived using the shallower SDSS optical bands only. We demonstrate that we obtain accurate redshift point estimates and probability distributions despite the training and target sets having very different redshift distributions, noise properties, and even photometric bands. Our model can also be used to predict missing photometric fluxes or to simulate populations of galaxies with realistic fluxes and redshifts, for example.

Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cells.

PubMed

Go, Taesik; Kim, Jun H; Byeon, Hyeokjun; Lee, Sang J

2018-04-19

Accurate and immediate diagnosis of malaria is important for medication of the infectious disease. Conventional methods for diagnosing malaria are time consuming and rely on the skill of experts. Therefore, an automatic and simple diagnostic modality is essential for healthcare in developing countries that lack the expertise of trained microscopists. In the present study, a new automatic sensing method using digital in-line holographic microscopy (DIHM) combined with machine learning algorithms was proposed to sensitively detect unstained malaria-infected red blood cells (iRBCs). To identify the RBC characteristics, 13 descriptors were extracted from segmented holograms of individual RBCs. Among the 13 descriptors, 10 features were highly statistically different between healthy RBCs (hRBCs) and iRBCs. Six machine learning algorithms were applied to effectively combine the dominant features and to greatly improve the diagnostic capacity of the present method. Among the classification models trained by the 6 tested algorithms, the model trained by the support vector machine (SVM) showed the best accuracy in separating hRBCs and iRBCs for training (n = 280, 96.78%) and testing sets (n = 120, 97.50%). This DIHM-based artificial intelligence methodology is simple and does not require blood staining. Thus, it will be beneficial and valuable in the diagnosis of malaria. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Effects of audio-visual presentation of target words in word translation training

NASA Astrophysics Data System (ADS)

Akahane-Yamada, Reiko; Komaki, Ryo; Kubo, Rieko

2004-05-01

Komaki and Akahane-Yamada (Proc. ICA2004) used 2AFC translation task in vocabulary training, in which the target word is presented visually in orthographic form of one language, and the appropriate meaning in another language has to be chosen between two choices. Present paper examined the effect of audio-visual presentation of target word when native speakers of Japanese learn to translate English words into Japanese. Pairs of English words contrasted in several phonemic distinctions (e.g., /r/-/l/, /b/-/v/, etc.) were used as word materials, and presented in three conditions; visual-only (V), audio-only (A), and audio-visual (AV) presentations. Identification accuracy of those words produced by two talkers was also assessed. During pretest, the accuracy for A stimuli was lowest, implying that insufficient translation ability and listening ability interact with each other when aurally presented word has to be translated. However, there was no difference in accuracy between V and AV stimuli, suggesting that participants translate the words depending on visual information only. The effect of translation training using AV stimuli did not transfer to identification ability, showing that additional audio information during translation does not help improve speech perception. Further examination is necessary to determine the effective L2 training method. [Work supported by TAO, Japan.

Work Hours Regulations for House Staff in Psychiatry: Bad or Good for Residency Training?

ERIC Educational Resources Information Center

Rasminsky, Sonya; Lomonaco, Allison; Auchincloss, Elizabeth

2008-01-01

Objective: The movement to limit work hours for house staff has gained momentum in recent years. The authors set out to review the literature on work hours reform, particularly as it applies to psychiatric residency training, and to provide two different viewpoints on the controversy. Methods: The authors present the historical background of work…

Preparing for Graduate-Level Training in Professional Psychology: Comparisons across Clinical PhD, Counseling PhD, and Clinical PsyD Programs

ERIC Educational Resources Information Center

Karazsia, Bryan T.; Smith, Lena

2016-01-01

In the present study, faculty who teach in clinical and counseling doctor of philosophy (PhD) or doctor of psychology (PsyD) programs completed surveys regarding preferences for prospective student preparations to graduate programs. Faculty expectations of minimum and ideal undergraduate training were highest for scientific methods, though…

A Combined Training Intervention Programme Increases Lean Mass in Youths with Down Syndrome

ERIC Educational Resources Information Center

Gonzalez-Aguero, Alejandro; Vicente-Rodriguez, German; Gomez-Cabello, Alba; Ara, Ignacio; Moreno, Luis A.; Casajus, Jose A.

2011-01-01

Aim: The present study aimed to determine whether youths with Down syndrome (DS) are able to increase lean mass and decrease fat mass, after 21 weeks of conditioning combined with a plyometric jumps training program. Methods: Twenty-six participants with DS (15 males) aged 10-19 years joined the study. Participants were divided into two comparable…

An Observational Study for Evaluating the Effects of Interpersonal Problem-Solving Skills Training on Behavioural Dimensions

ERIC Educational Resources Information Center

Anliak, Sakire; Sahin, Derya

2010-01-01

The present observational study was designed to evaluate the effectiveness of the I Can Problem Solve (ICPS) programme on behavioural change from aggression to pro-social behaviours by using the DECB rating scale. Non-participant observation method was used to collect data in pretest-training-posttest design. It was hypothesised that the ICPS…

Research on the Present Status of the Five-Year Medical Training Program in Chinese Medical Colleges

ERIC Educational Resources Information Center

Xu, Yan; Dong, Zhe; Miao, Le; Ke, Yang

2014-01-01

The five-year program is the main path for undergraduate medical training in China. Studies have shown that during the past eleven years, the scale of medical student enrollment increased annually with a relatively simple entrance exam. The ideas, teaching contents and methods, assessment and evaluation should be updated and improved. In general,…

The Importance of Training and Previous Contact in University Students' Opinion about Persons with Mental Disorder

ERIC Educational Resources Information Center

Barroso-Hurtado, Domingo; Mendo-Lázaro, Santiago

2016-01-01

Introduction: The present study analyzes differences in university students' opinions towards persons with mental disorder, as a function of whether they have had previous contact with them and whether they have received training about them. Method: The Opinions about Mental Illness Scale for Spanish population (OMI-S) was applied to a sample of…

Polyphonic sonification of electrocardiography signals for diagnosis of cardiac pathologies

NASA Astrophysics Data System (ADS)

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

2017-03-01

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

Evaluating Presentation Skills of Volunteer Trainers.

ERIC Educational Resources Information Center

Mohan, Donna K.

A systematic method for evaluating the presentation skills of volunteer trainers would enable the discovery of hidden problems. It would also increase individual trainer skills and satisfaction and improve the overall effectiveness of the training program. A first step is to determine the general presentation skills a successful volunteer trainer…

Nursing Training in the Brazilian Red Cross in the 1940s: a Foucaultian approach.

PubMed

Mecone, Márcia Cristina da Cruz; Freitas, Genival Fernandes de; Bonini, Bárbara Barrionuevo

2015-12-01

Objectives To identify and analyze the discursive statements that characterizes the training of human resources in nursing in the 1940s by the Brazilian Red Cross. Method The approach of the documentary sources was through the assumptions of the Historical Method and they were questioned by using the thought of Michel Foucault. Results Historically, a peculiar model, the military teaching model, influenced the training of human resources in nursing, especially in the 1940s. The Brazilian Red Cross was linked to the Ministry of War and its nursing education had an emphasis on moral conduct, discipline, and respect for hierarchy, culminating in the production of nurses' "docile bodies". The attributes expected of nurses constituted the triad in the professional formation identity at that time: dedication, discipline and obedience. Conclusion The military model still reverberates practices in training of nurses in the present, as in the management, care and education in nursing.

[Theoretical and methodological bases for formation of future drivers 'readiness to application of physical-rehabilitation technologies].

PubMed

Yemets, Anatoliy V; Donchenko, Viktoriya I; Scrinick, Eugenia O

2018-01-01

Introduction: Experimental work is aimed at introducing theoretical and methodological foundations for the professional training of the future doctor. The aim: Identify the dynamics of quantitative and qualitative indicators of the readiness of a specialist in medicine. Materials and methods: The article presents the course and results of the experimental work of the conditions of forming the readiness of future specialists in medicine. Results: Our methodical bases for studying the disciplines of the general practice and specialized professional stage of experimental training of future physicians have been worked out. Conclusions: It is developed taking into account the peculiarities of future physician training of materials for various stages of experimental implementation in the educational process of higher medical educational institutions.

Comparison of cardiothoracic surgery training in usa and germany

PubMed Central

2010-01-01

Background Training of cardiothoracic surgeons in Europe and the United States has expanded to incorporate new operative techniques and requirements. The purpose of this study was to compare the current structure of training programs in the United States and Germany. Methods We thoroughly reviewed the existing literature with particular focus on the curriculum, salary, board certification and quality of life for cardiothoracic trainees. Results The United States of America and the Federal Republic of Germany each have different cardiothoracic surgery training programs with specific strengths and weaknesses which are compared and presented in this publication. Conclusions The future of cardiothoracic surgery training will become affected by technological, demographic, economic and supply factors. Given current trends in training programs, creating an efficient training system would allow trainees to compete and grow in this constantly changing environment. PMID:21108853

Paramedic self-efficacy and skill retention in pediatric airway management.

PubMed

Youngquist, Scott T; Henderson, Deborah P; Gausche-Hill, Marianne; Goodrich, Suzanne M; Poore, Pamela D; Lewis, Roger J

2008-12-01

The objectives were to determine the effect of pediatric airway management training on paramedic self-efficacy and skill performance and to determine which of several retraining methods is superior. A total of 2,520 paramedics were trained to proficiency in pediatric bag-mask ventilation (BMV) and endotracheal intubation (ETI) on mannequins. Subjects were a convenience sample of 245 (10% of original cohort) presenting for voluntary retraining. A total of 212 of 245 (87%) completed skills testing. Self-efficacy was measured prior to and following initial training and retraining events. Paramedics were assigned to control (no retraining), videotape presentation, self-directed learning, or instructor-facilitated lecture and demonstration retraining. Following retraining, BMV and ETI skills were tested. Paramedics from low-call-volume areas reported lower baseline self-efficacy and derived larger increases with training, but also experienced the most decline between training events. Pass rates for BMV and ETI were 66% (139/211) and 42% (88/212), respectively. However, overall cohort self-efficacy was maintained over the study period. In ordinal regression modeling, only the lecture and demonstration method was superior to control, with an odds ratio (OR) of achieving higher scores of 2.5 (95% confidence interval [CI] = 1.2 to 5.2) for BMV and 5.2 (95% CI = 2.4 to 11.2) for ETI. Poor performance with ETI but not BMV was associated with time elapsed since training (p = 0.01). Self-efficacy ratings were not predictive of skill performance. Training provides increases in self-efficacy, particularly among paramedics from low-call-volume areas. A gap exists between self-efficacy and skill performance, in that self-efficacy may be maintained even when skill performance declines. Pediatric airway skills decay quickly, ETI skills drop off more significantly than BMV skills, and a lecture and demonstration format seems superior to other retraining methods investigated.

Acute and chronic neuromuscular adaptations to local vibration training.

PubMed

Souron, Robin; Besson, Thibault; Millet, Guillaume Y; Lapole, Thomas

2017-10-01

Vibratory stimuli are thought to have the potential to promote neural and/or muscular (re)conditioning. This has been well described for whole-body vibration (WBV), which is commonly used as a training method to improve strength and/or functional abilities. Yet, this technique may present some limitations, especially in clinical settings where patients are unable to maintain an active position during the vibration exposure. Thus, a local vibration (LV) technique, which consists of applying portable vibrators directly over the tendon or muscle belly without active contribution from the participant, may present an alternative to WBV. The purpose of this narrative review is (1) to provide a comprehensive overview of the literature related to the acute and chronic neuromuscular changes associated with LV, and (2) to show that LV training may be an innovative and efficient alternative method to the 'classic' training programs, including in the context of muscle deconditioning prevention or rehabilitation. An acute LV application (one bout of 20-60 min) may be considered as a significant neuromuscular workload, as demonstrated by an impairment of force generating capacity and LV-induced neural changes. Accordingly, it has been reported that a training period of LV is efficient in improving muscular performance over a wide range of training (duration, number of session) and vibration (frequency, amplitude, site of application) parameters. The functional improvements are principally triggered by adaptations within the central nervous system. A model illustrating the current research on LV-induced adaptations is provided.

Clinical Decision-Making in Community Children’s Mental Health: Using Innovative Methods to Compare Clinicians With and Without Training in Evidence-Based Treatment

PubMed Central

Baker-Ericzén, Mary J.; Jenkins, Melissa M.; Park, Soojin; Garland, Ann F.

2014-01-01

Background Mental health professionals’ decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. Objective The present study explored the role of prior training in evidence-based treatments on clinicians’ assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. Methods Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog “think aloud” method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. Results MANOVA results were significant for EBT training status such that EBT trained clinicians’ displayed cognitive processes more closely aligned with “expert” decision-makers and non-EBT trained clinicians’ decision processes were more similar to “novice” decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. Conclusion This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians’ decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice. PMID:25892901

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

NASA Astrophysics Data System (ADS)

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

2012-04-01

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

Effect of Face-to-face Education, Problem-based Learning, and Goldstein Systematic Training Model on Quality of Life and Fatigue among Caregivers of Patients with Diabetes.

PubMed

Masoudi, Reza; Soleimani, Mohammad Ali; Yaghoobzadeh, Ameneh; Baraz, Shahram; Hakim, Ashrafalsadat; Chan, Yiong H

2017-01-01

Education is a fundamental component for patients with diabetes to achieve good glycemic control. In addition, selecting the appropriate method of education is one of the most effective factors in the quality of life. The present study aimed to evaluate the effect of face-to-face education, problem-based learning, and Goldstein systematic training model on the quality of life (QOL) and fatigue among caregivers of patients with diabetes. This randomized clinical trial was conducted in Hajar Hospital (Shahrekord, Iran) in 2012. The study subjects consisted of 105 family caregivers of patients with diabetes. The participants were randomly assigned to three intervention groups (35 caregivers in each group). For each group, 5-h training sessions were held separately. QOL and fatigue were evaluated immediately before and after the intervention, and after 1, 2, 3, and 4 months of intervention. There was a significant increase in QOL for all the three groups. Both the problem-based learning and the Goldstein method showed desirable QOL improvement over time. The desired educational intervention for fatigue reduction during the 4-month post-intervention period was the Goldstein method. A significant reduction was observed in fatigue in all three groups after the intervention ( P < 0.001). The results of the present study illustrated that the problem-based learning and Goldstein systematic training model improve the QOL of caregivers of patients with diabetes. In addition, the Goldstein systematic training model had the greatest effect on the reduction of fatigue within 4 months of the intervention.

The effect of recall, reproduction, and restudy on word learning: a pre-registered study.

PubMed

Krishnan, Saloni; Watkins, Kate E; Bishop, Dorothy V M

2017-08-04

Certain manipulations, such as testing oneself on newly learned word associations (recall), or the act of repeating a word during training (reproduction), can lead to better learning and retention relative to simply providing more exposure to the word (restudy). Such benefit has been observed for written words. Here, we test how these training manipulations affect learning of words presented aurally, when participants are required to produce these novel phonological forms in a recall task. Participants (36 English-speaking adults) learned 27 pseudowords, which were paired with 27 unfamiliar pictures. They were given cued recall practice for 9 of the words, reproduction practice for another set of 9 words, and the remaining 9 words were restudied. Participants were tested on their recognition (3-alternative forced choice) and recall (saying the pseudoword in response to a picture) of these items immediately after training, and a week after training. Our hypotheses were that reproduction and restudy practice would lead to better learning immediately after training, but that cued recall practice would lead to better retention in the long term. In all three conditions, recognition performance was extremely high immediately after training, and a week following training, indicating that participants had acquired associations between the novel pictures and novel words. In addition, recognition and cued recall performance was better immediately after training relative to a week later, confirming that participants forgot some words over time. However, results in the cued recall task did not support our hypotheses. Immediately after training, participants showed an advantage for cued Recall over the Restudy condition, but not over the Reproduce condition. Furthermore, there was no boost for the cued Recall condition over time relative to the other two conditions. Results from a Bayesian analysis also supported this null finding. Nonetheless, we found a clear effect of word length, with shorter words being better learned than longer words, indicating that our method was sufficiently sensitive to detect an impact of condition on learning. Our primary hypothesis about training conditions conferring specific advantages for production of novel words presented aurally, especially over long intervals, was not supported by this data. Although there may be practical reasons for preferring a particular method for training expressive vocabulary, no difference in effectiveness was detected when presenting words aurally: reproducing, recalling or restudying a word led to the same production accuracy.

A new voluntary blood collection method for the Andean bear (Tremarctos ornatus) and Asiatic black bear (Ursus thibetanus).

PubMed

Otaki, Yusuke; Kido, Nobuhide; Omiya, Tomoko; Ono, Kaori; Ueda, Miya; Azumano, Akinori; Tanaka, Sohei

2015-01-01

Various training methods have been developed for animal husbandry and health care in zoos and one of these trainings is blood collection. One training method, recently widely used for blood collection in Ursidae, requires setting up a sleeve outside the cage and gives access to limited blood collection sites. A new voluntary blood collection method without a sleeve was applied to the Andean bear (Tremarctos ornatus) and Asiatic black bear (Ursus thibetanus) with access to various veins at the same time. The present study evaluated the effectiveness of this new method and suggests improvements. Two Andean and two Asiatic black bears in Yokohama and Nogeyama Zoological Gardens, respectively, were trained to hold a bamboo pipe outside their cages. We could, thereby, simultaneously access superficial dorsal veins, the dorsal venous network of the hand, the cephalic vein from the carpal joint, and an area approximately 10 cm proximal to the carpal joint. This allowed us to evaluate which vein was most suitable for blood collection. We found that the cephalic vein, approximately 10 cm proximal to the carpal joint, was the most suitable for blood collection. This new method requires little or no modification of zoo facilities and provides a useful alternative method for blood collection. It could be adapted for use in other clinical examinations such as ultrasound examination. © 2015 Wiley Periodicals, Inc.

Comparison of the effect of web-based, simulation-based, and conventional training on the accuracy of visual estimation of postpartum hemorrhage volume on midwifery students: A randomized clinical trial

PubMed Central

Kordi, Masoumeh; Fakari, Farzaneh Rashidi; Mazloum, Seyed Reza; Khadivzadeh, Talaat; Akhlaghi, Farideh; Tara, Mahmoud

2016-01-01

Introduction: Delay in diagnosis of bleeding can be due to underestimation of the actual amount of blood loss during delivery. Therefore, this research aimed to compare the efficacy of web-based, simulation-based, and conventional training on the accuracy of visual estimation of postpartum hemorrhage volume. Materials and Methods: This three-group randomized clinical trial study was performed on 105 midwifery students in Mashhad School of Nursing and Midwifery in 2013. The samples were selected by the convenience method and were randomly divided into three groups of web-based, simulation-based, and conventional training. The three groups participated before and 1 week after the training course in eight station practical tests, then, the students of the web-based group were trained on-line for 1 week, the students of the simulation-based group were trained in the Clinical Skills Centre for 4 h, and the students of the conventional group were trained for 4 h presentation by researchers. The data gathering tool was a demographic questionnaire designed by the researchers and objective structured clinical examination. Data were analyzed by software version 11.5. Results: The accuracy of visual estimation of postpartum hemorrhage volume after training increased significantly in the three groups at all stations (1, 2, 4, 5, 6 and 7 (P = 0.001), 8 (P = 0.027)) except station 3 (blood loss of 20 cc, P = 0.095), but the mean score of blood loss estimation after training did not significantly different between the three groups (P = 0.95). Conclusion: Training increased the accuracy of estimation of postpartum hemorrhage, but no significant difference was found among the three training groups. We can use web-based training as a substitute or supplement of training along with two other more common simulation and conventional methods. PMID:27500175

Effect of communication skill training using group psychoeducation method on the stress level of psychiatry ward nurses.

PubMed

Ghazavi, Zahra; Lohrasbi, Fatemeh; Mehrabi, Tayebeh

2010-12-01

Nursing is a dynamic and supportive job, with the main role of taking care of patients. Maintaining appropriate communication of the nurse with the patients is particularly known as the main core of care in mental health. However, in spite of the importance of providing communication, one of the main sources of stress in nurses of psychiatry wards is communication with the patients. Some important reasons for inappropriate relationship between the nurse and patient can be lack of necessary skills to communicate with patients because of insufficient training. Although training communication skills is an important part of the education of medical and paramedical students, in recent studies it has been demonstrated that the communication skills learned in theoretical courses would not necessarily be transferred to clinical settings, and proving training in clinical settings is a must. The present study was carried out to determine the effect of training communication skills using psychoeducation method on the stress level of nurses of psychiatry wards in 2010. This is a quasi-experimental study. The participants were 45 nurses; 23 and 22 in the experiment and control groups, respectively, working in psychiatry wards of Noor and Farabi hospitals, Isfahan, Iran. The sampling was carried out by the census method, and then the participants were randomly assigned to the two groups of experiment and control, using random number table. The two groups filled out the demographic data form and also the questionnaire on nurses' occupational stress, designed by the researcher. The questionnaire was filled out three times; before, immediately after, and one month after the training. Training of communication skills was carried out using group psychoeducation method, in six sessions, each lasted for 1.5 hours. The training sessions of the experiment group were held in Farabi Hospital. The findings indicated that before the intervention, the members of the two groups had a high level of occupational stress. Immediately after the training, the stress level of the experiment group decreased significantly, and the decrease was sustained for the following one month. Training communicative skills using group psychoeducation method can decrease the occupational stress of psychiatry ward nurses.

Explaining the Effectiveness of the Contrast Culture Method for Managing Interpersonal Interactions across Cultures

ERIC Educational Resources Information Center

Hiratsuka, Hiroyoshi; Suzuki, Hanako; Pusina, Alexis

2016-01-01

One of the current challenges in the field of intercultural education comes from the limited availability of training efficacy studies. The present study focused on explaining the effectiveness of the Contrast Culture Method (CCM) as an intercultural education method for managing interpersonal interactions across cultures between graduate…

Design of Education Methods in a Virtual Environment

ERIC Educational Resources Information Center

Yavich, Roman; Starichenko, Boris

2017-01-01

The purpose of the presented article is to review existing approaches to modern training methods design and to create a variant of its technology in virtual educational environments in order to develop general cultural and professional students' competence in pedagogical education. The conceptual modeling of a set of methods for students' training…

Prototyping of cerebral vasculature physical models

PubMed Central

Khan, Imad S.; Kelly, Patrick D.; Singer, Robert J.

2014-01-01

Background: Prototyping of cerebral vasculature models through stereolithographic methods have the ability to accurately depict the 3D structures of complicated aneurysms with high accuracy. We describe the method to manufacture such a model and review some of its uses in the context of treatment planning, research, and surgical training. Methods: We prospectively used the data from the rotational angiography of a 40-year-old female who presented with an unruptured right paraclinoid aneurysm. The 3D virtual model was then converted to a physical life-sized model. Results: The model constructed was shown to be a very accurate depiction of the aneurysm and its associated vasculature. It was found to be useful, among other things, for surgical training and as a patient education tool. Conclusion: With improving and more widespread printing options, these models have the potential to become an important part of research and training modalities. PMID:24678427

Reading the lesson: eliciting requirements for a mammography training application

NASA Astrophysics Data System (ADS)

Hartswood, M.; Blot, L.; Taylor, P.; Anderson, S.; Procter, R.; Wilkinson, L.; Smart, L.

2009-02-01

Demonstrations of a prototype training tool were used to elicit requirements for an intelligent training system for screening mammography. The prototype allowed senior radiologists (mentors) to select cases from a distributed database of images to meet the specific training requirements of junior colleagues (trainees) and then provided automated feedback in response to trainees' attempts at interpretation. The tool was demonstrated to radiologists and radiographers working in the breast screening service at four evaluation sessions. Participants highlighted ease of selecting cases that can deliver specific learning objectives as important for delivering effective training. To usefully structure a large data set of training images we undertook a classification exercise of mentor authored free text 'learning points' attached to training case obtained from two screening centres (n=333, n=129 respectively). We were able to adduce a hierarchy of abstract categories representing classes of lesson that groups of cases were intended to convey (e.g. Temporal change, Misleading juxtapositions, Position of lesion, Typical/Atypical presentation, and so on). In this paper we present the method used to devise this classification, the classification scheme itself, initial user-feedback, and our plans to incorporated it into a software tool to aid case selection.

Research and development of a field-ready protocol for sampling of phosgene from stationary source emissions: Diethylamine reagent studies. Research report, 11 July 1995--30 September 1996

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

Steger, J.L.; Bursey, J.T.; Merrill, R.G.

1999-03-01

This report presents the results of laboratory studies to develop and evaluate a method for the sampling and analysis of phosgene from stationary sources of air emissions using diethylamine (DEA) in toluene as the collection media. The method extracts stack gas from emission sources and stabilizes the reactive gas for subsequent analysis. DEA was evaluated both in a benchtop study and in a laboratory train spiking study. This report includes results for both the benchtop study and the train spiking study. Benchtop studies to evaluate the suitability of DEA for collecting and analyzing phosgene investigated five variables: storage time, DEAmore » concentration, moisture/pH, phosgene concentration, and sample storage temperature. Prototype sampling train studies were performed to determine if the benchtop chemical studies were transferable to a Modified Method 5 sampling train collecting phosgene in the presence of clean air mixed with typical stack gas components. Four conditions, which varied the moisture and phosgene spike were evaluated in triplicate. In addition to research results, the report includes a detailed draft method for sampling and analysis of phosgene from stationary source emissions.« less

The design of scenario-based training from the resilience engineering perspective: a study with grid electricians.

PubMed

Saurin, Tarcisio Abreu; Wachs, Priscila; Righi, Angela Weber; Henriqson, Eder

2014-07-01

Although scenario-based training (SBT) can be an effective means to help workers develop resilience skills, it has not yet been analyzed from the resilience engineering (RE) perspective. This study introduces a five-stage method for designing SBT from the RE view: (a) identification of resilience skills, work constraints and actions for re-designing the socio-technical system; (b) design of template scenarios, allowing the simulation of the work constraints and the use of resilience skills; (c) design of the simulation protocol, which includes briefing, simulation and debriefing; (d) implementation of both scenarios and simulation protocol; and (e) evaluation of the scenarios and simulation protocol. It is reported how the method was applied in an electricity distribution company, in order to train grid electricians. The study was framed as an application of design science research, and five research outputs are discussed: method, constructs, model of the relationships among constructs, instantiations of the method, and theory building. Concerning the last output, the operationalization of the RE perspective on three elements of SBT is presented: identification of training objectives; scenario design; and debriefing. Copyright © 2013 Elsevier Ltd. All rights reserved.

Classification of conductance traces with recurrent neural networks

NASA Astrophysics Data System (ADS)

Lauritzen, Kasper P.; Magyarkuti, András; Balogh, Zoltán; Halbritter, András; Solomon, Gemma C.

2018-02-01

We present a new automated method for structural classification of the traces obtained in break junction experiments. Using recurrent neural networks trained on the traces of minimal cross-sectional area in molecular dynamics simulations, we successfully separate the traces into two classes: point contact or nanowire. This is done without any assumptions about the expected features of each class. The trained neural network is applied to experimental break junction conductance traces, and it separates the classes as well as the previously used experimental methods. The effect of using partial conductance traces is explored, and we show that the method performs equally well using full or partial traces (as long as the trace just prior to breaking is included). When only the initial part of the trace is included, the results are still better than random chance. Finally, we show that the neural network classification method can be used to classify experimental conductance traces without using simulated results for training, but instead training the network on a few representative experimental traces. This offers a tool to recognize some characteristic motifs of the traces, which can be hard to find by simple data selection algorithms.

Quality Training and Learning in Aviation: Problems of Alignment

NASA Technical Reports Server (NTRS)

Moore, Phillip J.; Lehrer, Henry R.; Telfer, Ross A.

2001-01-01

The challenge of producing training programs that lead to quality learning outcomes is ever present in aviation, especially when economic and regulatory pressures are brought into the equation. Previous research by Telfer & Moore (1997) indicates the importance of appropriate alignment of beliefs about learning across all levels of an organization from the managerial level, through the instructor/check and training level, to the pilots and other crew. This paper argues for a central focus on approaches to learning and training that encourage understanding, problem solving and application. Recent research in the area is emphasized as are methods and techniques for enhancing deeper learning.

Resident training in microbiology.

PubMed

Haller, Barbara L

2007-06-01

To meet the challenges of diagnosis and management of infectious diseases, clinical pathology residents must receive comprehensive training in microbiology, learn to think critically, develop problem-solving skills, and take active roles as laboratory consultants. Residents well trained in clinical microbiology become capable laboratory professionals, developing cost-effective testing strategies, decreasing risk for medical errors, and improving patient care. Newer methods for diagnosing infectious disease, such as real-time polymerase chain reaction, microarrays for pathogen detection, and rapid assays for antigen or antibody detection, have become standard. Knowledge of infectious disease principles, drug therapeutic options, and drug resistance is also important. Suggestions for training and for assessing resident competency in clinical microbiology are presented.

Implementing living room theatre activities for people with dementia on nursing home wards: a process evaluation study.

PubMed

van Haeften-van Dijk, A Marijke; van Weert, Julia C M; Dröes, Rose-Marie

2015-01-01

A new communication method, the 'Veder Method', was implemented in the Netherlands. This method uses theatrical stimuli in combination with proven person-centred communication methods. Care staff was trained to apply the Veder Method in a 'living room theatre activity' for people with dementia. This study evaluates the implementation of the Veder Method on psychogeriatric nursing home wards. Facilitators and barriers to train staff and implement the Veder Method in psychogeriatric nursing homes were identified by conducting semi-structured interviews with 12 stakeholders who were involved in the implementation, and five focus groups with 35 trained care staff. The interviews and focus groups were transcribed verbatim, and two independent researchers analysed the content of the transcripts. The Implementation Process Evaluation (IPE) Framework was used to categorize the data and the 7s-model to contextualize the qualitative findings. A structured overview of facilitators and barriers in different stages of the implementation process is presented. Positive reactions in residents and more reciprocity in caregiver-resident contact motivated trained care staff to work with the Veder Method. An action plan, executive support, the visibility of the method in the organization and a pioneer group that initiated implementation were essential for successful implementation. High work pressure for the care staff was a hindering factor. Respondents experienced the added value of the Veder Method. The facilitators and barriers to implementation we identified in this study can help to implement and disseminate the successful Veder Method and other person-centred communication methods in psychogeriatric nursing homes effectively.

Improving reflectance reconstruction from tristimulus values by adaptively combining colorimetric and reflectance similarities

NASA Astrophysics Data System (ADS)

Cao, Bin; Liao, Ningfang; Li, Yasheng; Cheng, Haobo

2017-05-01

The use of spectral reflectance as fundamental color information finds application in diverse fields related to imaging. Many approaches use training sets to train the algorithm used for color classification. In this context, we note that the modification of training sets obviously impacts the accuracy of reflectance reconstruction based on classical reflectance reconstruction methods. Different modifying criteria are not always consistent with each other, since they have different emphases; spectral reflectance similarity focuses on the deviation of reconstructed reflectance, whereas colorimetric similarity emphasizes human perception. We present a method to improve the accuracy of the reconstructed spectral reflectance by adaptively combining colorimetric and spectral reflectance similarities. The different exponential factors of the weighting coefficients were investigated. The spectral reflectance reconstructed by the proposed method exhibits considerable improvements in terms of the root-mean-square error and goodness-of-fit coefficient of the spectral reflectance errors as well as color differences under different illuminants. Our method is applicable to diverse areas such as textiles, printing, art, and other industries.

Wind Energy Applications and Training Symposium

NASA Astrophysics Data System (ADS)

Sixteen representatives from 11 developing nations participated in the 1990 Wind Energy Applications and Training Symposium (WEATS) program. Consistent with previous symposia, the format included classroom-style training and field trip experiences to acquaint the participants with the history and progress of wind energy development in the U.S., technologically and economically. Brief presentations about wind energy development in all the countries represented were made by the participants. Several reports were prepared and presented along with slides for further explanation. The one-on-one symposium wrap-up session on the last day continues to be a good method of discovering what can be the next step in working with each country to develop their wind energy potential. Seventeen papers have been indexed separately for inclusion on the data base.

Fast dictionary-based reconstruction for diffusion spectrum imaging.

PubMed

Bilgic, Berkin; Chatnuntawech, Itthi; Setsompop, Kawin; Cauley, Stephen F; Yendiki, Anastasia; Wald, Lawrence L; Adalsteinsson, Elfar

2013-11-01

Diffusion spectrum imaging reveals detailed local diffusion properties at the expense of substantially long imaging times. It is possible to accelerate acquisition by undersampling in q-space, followed by image reconstruction that exploits prior knowledge on the diffusion probability density functions (pdfs). Previously proposed methods impose this prior in the form of sparsity under wavelet and total variation transforms, or under adaptive dictionaries that are trained on example datasets to maximize the sparsity of the representation. These compressed sensing (CS) methods require full-brain processing times on the order of hours using MATLAB running on a workstation. This work presents two dictionary-based reconstruction techniques that use analytical solutions, and are two orders of magnitude faster than the previously proposed dictionary-based CS approach. The first method generates a dictionary from the training data using principal component analysis (PCA), and performs the reconstruction in the PCA space. The second proposed method applies reconstruction using pseudoinverse with Tikhonov regularization with respect to a dictionary. This dictionary can either be obtained using the K-SVD algorithm, or it can simply be the training dataset of pdfs without any training. All of the proposed methods achieve reconstruction times on the order of seconds per imaging slice, and have reconstruction quality comparable to that of dictionary-based CS algorithm.

Fast Dictionary-Based Reconstruction for Diffusion Spectrum Imaging

PubMed Central

Bilgic, Berkin; Chatnuntawech, Itthi; Setsompop, Kawin; Cauley, Stephen F.; Yendiki, Anastasia; Wald, Lawrence L.; Adalsteinsson, Elfar

2015-01-01

Diffusion Spectrum Imaging (DSI) reveals detailed local diffusion properties at the expense of substantially long imaging times. It is possible to accelerate acquisition by undersampling in q-space, followed by image reconstruction that exploits prior knowledge on the diffusion probability density functions (pdfs). Previously proposed methods impose this prior in the form of sparsity under wavelet and total variation (TV) transforms, or under adaptive dictionaries that are trained on example datasets to maximize the sparsity of the representation. These compressed sensing (CS) methods require full-brain processing times on the order of hours using Matlab running on a workstation. This work presents two dictionary-based reconstruction techniques that use analytical solutions, and are two orders of magnitude faster than the previously proposed dictionary-based CS approach. The first method generates a dictionary from the training data using Principal Component Analysis (PCA), and performs the reconstruction in the PCA space. The second proposed method applies reconstruction using pseudoinverse with Tikhonov regularization with respect to a dictionary. This dictionary can either be obtained using the K-SVD algorithm, or it can simply be the training dataset of pdfs without any training. All of the proposed methods achieve reconstruction times on the order of seconds per imaging slice, and have reconstruction quality comparable to that of dictionary-based CS algorithm. PMID:23846466

Manifold Regularized Experimental Design for Active Learning.

PubMed

Zhang, Lining; Shum, Hubert P H; Shao, Ling

2016-12-02

Various machine learning and data mining tasks in classification require abundant data samples to be labeled for training. Conventional active learning methods aim at labeling the most informative samples for alleviating the labor of the user. Many previous studies in active learning select one sample after another in a greedy manner. However, this is not very effective because the classification models has to be retrained for each newly labeled sample. Moreover, many popular active learning approaches utilize the most uncertain samples by leveraging the classification hyperplane of the classifier, which is not appropriate since the classification hyperplane is inaccurate when the training data are small-sized. The problem of insufficient training data in real-world systems limits the potential applications of these approaches. This paper presents a novel method of active learning called manifold regularized experimental design (MRED), which can label multiple informative samples at one time for training. In addition, MRED gives an explicit geometric explanation for the selected samples to be labeled by the user. Different from existing active learning methods, our method avoids the intrinsic problems caused by insufficiently labeled samples in real-world applications. Various experiments on synthetic datasets, the Yale face database and the Corel image database have been carried out to show how MRED outperforms existing methods.

Web-Based Training Methods for Behavioral Health Providers: A Systematic Review.

PubMed

Jackson, Carrie B; Quetsch, Lauren B; Brabson, Laurel A; Herschell, Amy D

2018-07-01

There has been an increase in the use of web-based training methods to train behavioral health providers in evidence-based practices. This systematic review focuses solely on the efficacy of web-based training methods for training behavioral health providers. A literature search yielded 45 articles meeting inclusion criteria. Results indicated that the serial instruction training method was the most commonly studied web-based training method. While the current review has several notable limitations, findings indicate that participating in a web-based training may result in greater post-training knowledge and skill, in comparison to baseline scores. Implications and recommendations for future research on web-based training methods are discussed.

Voxel classification based airway tree segmentation

NASA Astrophysics Data System (ADS)

Lo, Pechin; de Bruijne, Marleen

2008-03-01

This paper presents a voxel classification based method for segmenting the human airway tree in volumetric computed tomography (CT) images. In contrast to standard methods that use only voxel intensities, our method uses a more complex appearance model based on a set of local image appearance features and Kth nearest neighbor (KNN) classification. The optimal set of features for classification is selected automatically from a large set of features describing the local image structure at several scales. The use of multiple features enables the appearance model to differentiate between airway tree voxels and other voxels of similar intensities in the lung, thus making the segmentation robust to pathologies such as emphysema. The classifier is trained on imperfect segmentations that can easily be obtained using region growing with a manual threshold selection. Experiments show that the proposed method results in a more robust segmentation that can grow into the smaller airway branches without leaking into emphysematous areas, and is able to segment many branches that are not present in the training set.

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.

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

Leistedt, Boris; Hogg, David W., E-mail: boris.leistedt@nyu.edu, E-mail: david.hogg@nyu.edu

We present a new method for inferring photometric redshifts in deep galaxy and quasar surveys, based on a data-driven model of latent spectral energy distributions (SEDs) and a physical model of photometric fluxes as a function of redshift. This conceptually novel approach combines the advantages of both machine learning methods and template fitting methods by building template SEDs directly from the spectroscopic training data. This is made computationally tractable with Gaussian processes operating in flux–redshift space, encoding the physics of redshifts and the projection of galaxy SEDs onto photometric bandpasses. This method alleviates the need to acquire representative training datamore » or to construct detailed galaxy SED models; it requires only that the photometric bandpasses and calibrations be known or have parameterized unknowns. The training data can consist of a combination of spectroscopic and deep many-band photometric data with reliable redshifts, which do not need to entirely spatially overlap with the target survey of interest or even involve the same photometric bands. We showcase the method on the i -magnitude-selected, spectroscopically confirmed galaxies in the COSMOS field. The model is trained on the deepest bands (from SUBARU and HST ) and photometric redshifts are derived using the shallower SDSS optical bands only. We demonstrate that we obtain accurate redshift point estimates and probability distributions despite the training and target sets having very different redshift distributions, noise properties, and even photometric bands. Our model can also be used to predict missing photometric fluxes or to simulate populations of galaxies with realistic fluxes and redshifts, for example.« less

PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light

NASA Astrophysics Data System (ADS)

Stark, Dominic; Launet, Barthelemy; Schawinski, Kevin; Zhang, Ce; Koss, Michael; Turp, M. Dennis; Sartori, Lia F.; Zhang, Hantian; Chen, Yiru; Weigel, Anna K.

2018-06-01

The study of unobscured active galactic nuclei (AGN) and quasars depends on the reliable decomposition of the light from the AGN point source and the extended host galaxy light. The problem is typically approached using parametric fitting routines using separate models for the host galaxy and the point spread function (PSF). We present a new approach using a Generative Adversarial Network (GAN) trained on galaxy images. We test the method using Sloan Digital Sky Survey r-band images with artificial AGN point sources added that are then removed using the GAN and with parametric methods using GALFIT. When the AGN point source is more than twice as bright as the host galaxy, we find that our method, PSFGAN, can recover point source and host galaxy magnitudes with smaller systematic error and a lower average scatter (49 per cent). PSFGAN is more tolerant to poor knowledge of the PSF than parametric methods. Our tests show that PSFGAN is robust against a broadening in the PSF width of ± 50 per cent if it is trained on multiple PSFs. We demonstrate that while a matched training set does improve performance, we can still subtract point sources using a PSFGAN trained on non-astronomical images. While initial training is computationally expensive, evaluating PSFGAN on data is more than 40 times faster than GALFIT fitting two components. Finally, PSFGAN is more robust and easy to use than parametric methods as it requires no input parameters.

Influence relevance voting: an accurate and interpretable virtual high throughput screening method.

PubMed

Swamidass, S Joshua; Azencott, Chloé-Agathe; Lin, Ting-Wan; Gramajo, Hugo; Tsai, Shiou-Chuan; Baldi, Pierre

2009-04-01

Given activity training data from high-throughput screening (HTS) experiments, virtual high-throughput screening (vHTS) methods aim to predict in silico the activity of untested chemicals. We present a novel method, the Influence Relevance Voter (IRV), specifically tailored for the vHTS task. The IRV is a low-parameter neural network which refines a k-nearest neighbor classifier by nonlinearly combining the influences of a chemical's neighbors in the training set. Influences are decomposed, also nonlinearly, into a relevance component and a vote component. The IRV is benchmarked using the data and rules of two large, open, competitions, and its performance compared to the performance of other participating methods, as well as of an in-house support vector machine (SVM) method. On these benchmark data sets, IRV achieves state-of-the-art results, comparable to the SVM in one case, and significantly better than the SVM in the other, retrieving three times as many actives in the top 1% of its prediction-sorted list. The IRV presents several other important advantages over SVMs and other methods: (1) the output predictions have a probabilistic semantic; (2) the underlying inferences are interpretable; (3) the training time is very short, on the order of minutes even for very large data sets; (4) the risk of overfitting is minimal, due to the small number of free parameters; and (5) additional information can easily be incorporated into the IRV architecture. Combined with its performance, these qualities make the IRV particularly well suited for vHTS.

Distributed Simulation as a modelling tool for the development of a simulation-based training programme for cardiovascular specialties.

PubMed

Kelay, Tanika; Chan, Kah Leong; Ako, Emmanuel; Yasin, Mohammad; Costopoulos, Charis; Gold, Matthew; Kneebone, Roger K; Malik, Iqbal S; Bello, Fernando

2017-01-01

Distributed Simulation is the concept of portable, high-fidelity immersive simulation. Here, it is used for the development of a simulation-based training programme for cardiovascular specialities. We present an evidence base for how accessible, portable and self-contained simulated environments can be effectively utilised for the modelling, development and testing of a complex training framework and assessment methodology. Iterative user feedback through mixed-methods evaluation techniques resulted in the implementation of the training programme. Four phases were involved in the development of our immersive simulation-based training programme: ( 1) initial conceptual stage for mapping structural criteria and parameters of the simulation training framework and scenario development ( n  = 16), (2) training facility design using Distributed Simulation , (3) test cases with clinicians ( n  = 8) and collaborative design, where evaluation and user feedback involved a mixed-methods approach featuring (a) quantitative surveys to evaluate the realism and perceived educational relevance of the simulation format and framework for training and (b) qualitative semi-structured interviews to capture detailed feedback including changes and scope for development. Refinements were made iteratively to the simulation framework based on user feedback, resulting in (4) transition towards implementation of the simulation training framework, involving consistent quantitative evaluation techniques for clinicians ( n  = 62). For comparative purposes, clinicians' initial quantitative mean evaluation scores for realism of the simulation training framework, realism of the training facility and relevance for training ( n  = 8) are presented longitudinally, alongside feedback throughout the development stages from concept to delivery, including the implementation stage ( n  = 62). Initially, mean evaluation scores fluctuated from low to average, rising incrementally. This corresponded with the qualitative component, which augmented the quantitative findings; trainees' user feedback was used to perform iterative refinements to the simulation design and components (collaborative design), resulting in higher mean evaluation scores leading up to the implementation phase. Through application of innovative Distributed Simulation techniques, collaborative design, and consistent evaluation techniques from conceptual, development, and implementation stages, fully immersive simulation techniques for cardiovascular specialities are achievable and have the potential to be implemented more broadly.

3D-printed aortic stenosis model with fragile and crushable calcifications for off-the-job training and surgical simulation.

PubMed

Shirakawa, Takashi; Yoshitatsu, Masao; Koyama, Yasushi; Mizoguchi, Hiroki; Toda, Koichi; Sawa, Yoshiki

2018-05-14

Surgical simulation devices can be helpful and cost-effective adjuncts to on-the-job training. In this tutorial we present our method for creating an aortic stenosis model with realistically fragile and crushable calcifications, using modern 3D-printing techniques.  The model can be used for training and surgical simulation and is an effective aid to learning for young cardiovascular surgeons. © The Author 2016. Published by MMCTS on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Fall prevention and safety communication training for foremen: report of a pilot project designed to improve residential construction safety.

PubMed

Kaskutas, Vicki; Dale, Ann Marie; Lipscomb, Hester; Evanoff, Brad

2013-02-01

Falls from heights account for 64% of residential construction worker fatalities and 20% of missed work days. We hypothesized that worker safety would improve with foremen training in fall prevention and safety communication. Training priorities identified through foreman and apprentice focus groups and surveys were integrated into an 8-hour training. We piloted the training with ten foremen employed by a residential builder. Carpenter trainers contrasted proper methods to protect workers from falls with methods observed at the foremen's worksites. Trainers presented methods to deliver toolbox talks and safety messages. Results from worksite observational audits (n=29) and foremen/crewmember surveys (n=97) administered before and after training were compared. We found that inexperienced workers are exposed to many fall hazards that they are often not prepared to negotiate. Fall protection is used inconsistently and worksite mentorship is often inadequate. Foremen feel pressured to meet productivity demands and some are unsure of the fall protection requirements. After the training, the frequency of daily mentoring and toolbox talks increased, and these talks became more interactive and focused on hazardous daily work tasks. Foremen observed their worksites for fall hazards more often. We observed increased compliance with fall protection and decreased unsafe behaviors during worksite audits. Designing the training to meet both foremen's and crewmembers' needs ensured the training was learner-centered and contextually-relevant. This pilot suggests that training residential foremen can increase use of fall protection, improve safety behaviors, and enhance on-the-job training and safety communication at their worksites. Construction workers' training should target safety communication and mentoring skills with workers who will lead work crews. Interventions at multiple levels are necessary to increase safety compliance in residential construction and decrease falls from heights. Copyright © 2013 Elsevier Ltd. All rights reserved.

Effectiveness of Mindfulness-Based Cognitive Therapy (MBCT) in Reducing Aggression of Individuals at the Juvenile Correction and Rehabilitation Center.

PubMed

Milani, Atefeh; Nikmanesh, Zahra; Farnam, Ali

2013-12-01

In the present era, delinquency in children and adolescents is undoubtedly a difficult and upsetting issue attracting the attention of many experts such as psychologists, sociologists, and criminologists. These experts often try to answer why a number of children and adolescents engage in various crimes such as aggressive and anti-social crimes. They also try to find out how these crimes can be prevented. The present study investigates the effectiveness of mindfulness-based cognitive therapy training (MBCT) in reducing aggression in a juvenile correction and rehabilitation center of Zahedan province during years 1991 to 1992. This experimental study included an experimental and a control group with a pretest, posttest, and follow-up approach. The Buss and Perry aggression questionnaire (1992) was used for data collection. The sample group included 22 (10 experimental and 12 control groups) adolescent males in a juvenile correction and rehabilitation center of Zahedan province who were selected through a census method. Using a matching method based on the pre-test scores of the aggression questionnaire, they were then divided into two equivalent categories and were randomly assigned to the two groups. Mindfulness-based cognitive training took the group training in 8 sessions administered on experimental group. The follow-up test was conducted two weeks after the end of the posttest sessions. The results were analyzed using ANCOVA. The results of ANCOVA showed that mindfulness-based cognitive training could significantly reduce aggression during posttest and follow-up test phases in the experimental group, compared to the control group (P < 0.01). Moreover, the results indicated the effectiveness of this method in significantly reducing anger, physical aggression, and hostility during posttest and follow-up test phases (P < 0.05). However, no significant reduction was observed in the verbal aggression subscale. According to the results of the present study, mindfulness-based cognitive training seems to be effective for reducing aggressive behaviors.

Ensemble training to improve recognition using 2D ear

NASA Astrophysics Data System (ADS)

Middendorff, Christopher; Bowyer, Kevin W.

2009-05-01

The ear has gained popularity as a biometric feature due to the robustness of the shape over time and across emotional expression. Popular methods of ear biometrics analyze the ear as a whole, leaving these methods vulnerable to error due to occlusion. Many researchers explore ear recognition using an ensemble, but none present a method for designing the individual parts that comprise the ensemble. In this work, we introduce a method of modifying the ensemble shapes to improve performance. We determine how different properties of an ensemble training system can affect overall performance. We show that ensembles built from small parts will outperform ensembles built with larger parts, and that incorporating a large number of parts improves the performance of the ensemble.

Guidelines for Cost-Effectiveness Analysis for Navy Training and Education.

DTIC Science & Technology

1976-07-01

System (PPBS) approach is to provide the basic and essential information needed by all decision makers so that they can analyze feasible alternatives...is essential to properly interpret any training system effectiveness. If these com- ponents can be identified, then instructional process comparisons...or tape recordings are alternative presentation methods. Although support is not essential , visuals and other minor aids such as chalkboards are

Clinical Decision-Making in Community Children's Mental Health: Using Innovative Methods to Compare Clinicians with and without Training in Evidence-Based Treatment

ERIC Educational Resources Information Center

Baker-Ericzén, Mary J.; Jenkins, Melissa M.; Park, Soojin; Garland, Ann F.

2015-01-01

Background: Mental health professionals' decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. Objective: The present study explored the role of prior training in evidence-based treatments (EBTs) on clinicians' assessment and treatment formulations using…

Characterisation of Best Practices in the Development of Cross-Curricular Competences in Vocational Education and Training: Case Study in the Basque Country

ERIC Educational Resources Information Center

Eizagirre Sagardia, Ana; Imaz Bengoetxea, Jose Inazio; Rekalde Rodríguez, Itziar

2018-01-01

This paper presents the most important results of a research project aimed at gathering empirical evidence on current efforts to foster and develop cross-curricular competences (CCC) in Vocational Education and Training (VET) Centres located in the Basque Country (Spain). The case study research method was used, with data being gathered by means…

NetMHCcons: a consensus method for the major histocompatibility complex class I predictions.

PubMed

Karosiene, Edita; Lundegaard, Claus; Lund, Ole; Nielsen, Morten

2012-03-01

A key role in cell-mediated immunity is dedicated to the major histocompatibility complex (MHC) molecules that bind peptides for presentation on the cell surface. Several in silico methods capable of predicting peptide binding to MHC class I have been developed. The accuracy of these methods depends on the data available characterizing the binding specificity of the MHC molecules. It has, moreover, been demonstrated that consensus methods defined as combinations of two or more different methods led to improved prediction accuracy. This plethora of methods makes it very difficult for the non-expert user to choose the most suitable method for predicting binding to a given MHC molecule. In this study, we have therefore made an in-depth analysis of combinations of three state-of-the-art MHC-peptide binding prediction methods (NetMHC, NetMHCpan and PickPocket). We demonstrate that a simple combination of NetMHC and NetMHCpan gives the highest performance when the allele in question is included in the training and is characterized by at least 50 data points with at least ten binders. Otherwise, NetMHCpan is the best predictor. When an allele has not been characterized, the performance depends on the distance to the training data. NetMHCpan has the highest performance when close neighbours are present in the training set, while the combination of NetMHCpan and PickPocket outperforms either of the two methods for alleles with more remote neighbours. The final method, NetMHCcons, is publicly available at www.cbs.dtu.dk/services/NetMHCcons , and allows the user in an automatic manner to obtain the most accurate predictions for any given MHC molecule.

Code Team Training: Demonstrating Adherence to AHA Guidelines During Pediatric Code Blue Activations.

PubMed

Stewart, Claire; Shoemaker, Jamie; Keller-Smith, Rachel; Edmunds, Katherine; Davis, Andrew; Tegtmeyer, Ken

2017-10-16

Pediatric code blue activations are infrequent events with a high mortality rate despite the best effort of code teams. The best method for training these code teams is debatable; however, it is clear that training is needed to assure adherence to American Heart Association (AHA) Resuscitation Guidelines and to prevent the decay that invariably occurs after Pediatric Advanced Life Support training. The objectives of this project were to train a multidisciplinary, multidepartmental code team and to measure this team's adherence to AHA guidelines during code simulation. Multidisciplinary code team training sessions were held using high-fidelity, in situ simulation. Sessions were held several times per month. Each session was filmed and reviewed for adherence to 5 AHA guidelines: chest compression rate, ventilation rate, chest compression fraction, use of a backboard, and use of a team leader. After the first study period, modifications were made to the code team including implementation of just-in-time training and alteration of the compression team. Thirty-eight sessions were completed, with 31 eligible for video analysis. During the first study period, 1 session adhered to all AHA guidelines. During the second study period, after alteration of the code team and implementation of just-in-time training, no sessions adhered to all AHA guidelines; however, there was an improvement in percentage of sessions adhering to ventilation rate and chest compression rate and an improvement in median ventilation rate. We present a method for training a large code team drawn from multiple hospital departments and a method of assessing code team performance. Despite subjective improvement in code team positioning, communication, and role completion and some improvement in ventilation rate and chest compression rate, we failed to consistently demonstrate improvement in adherence to all guidelines.

Landslide susceptibility assessment by using a neuro-fuzzy model: a case study in the Rupestrian heritage rich area of Matera

NASA Astrophysics Data System (ADS)

Sdao, F.; Lioi, D. S.; Pascale, S.; Caniani, D.; Mancini, I. M.

2013-02-01

The complete assessment of landslide susceptibility needs uniformly distributed detailed information on the territory. This information, which is related to the temporal occurrence of landslide phenomena and their causes, is often fragmented and heterogeneous. The present study evaluates the landslide susceptibility map of the Natural Archaeological Park of Matera (Southern Italy) (Sassi and area Rupestrian Churches sites). The assessment of the degree of "spatial hazard" or "susceptibility" was carried out by the spatial prediction regardless of the return time of the events. The evaluation model for the susceptibility presented in this paper is very focused on the use of innovative techniques of artificial intelligence such as Neural Network, Fuzzy Logic and Neuro-fuzzy Network. The method described in this paper is a novel technique based on a neuro-fuzzy system. It is able to train data like neural network and it is able to shape and control uncertain and complex systems like a fuzzy system. This methodology allows us to derive susceptibility maps of the study area. These data are obtained from thematic maps representing the parameters responsible for the instability of the slopes. The parameters used in the analysis are: plan curvature, elevation (DEM), angle and aspect of the slope, lithology, fracture density, kinematic hazard index of planar and wedge sliding and toppling. Moreover, this method is characterized by the network training which uses a training matrix, consisting of input and output training data, which determine the landslide susceptibility. The neuro-fuzzy method was integrated to a sensitivity analysis in order to overcome the uncertainty linked to the used membership functions. The method was compared to the landslide inventory map and was validated by applying three methods: a ROC (Receiver Operating Characteristic) analysis, a confusion matrix and a SCAI method. The developed neuro-fuzzy method showed a good performance in the determination of the landslide susceptibility map.

Safety training for working youth: Methods used versus methods wanted.

PubMed

Zierold, Kristina M

2016-04-07

Safety training is promoted as a tool to prevent workplace injury; however, little is known about the safety training experiences young workers get on-the-job. Furthermore, nothing is known about what methods they think would be the most helpful for learning about safe work practices. To compare safety training methods teens get on the job to those safety training methods teens think would be the best for learning workplace safety, focusing on age differences. A cross-sectional survey was administered to students in two large high schools in spring 2011. Seventy percent of working youth received safety training. The top training methods that youth reported getting at work were safety videos (42%), safety lectures (25%), and safety posters/signs (22%). In comparison to the safety training methods used, the top methods youth wanted included videos (54%), hands-on (47%), and on-the-job demonstrations (34%). This study demonstrated that there were differences in training methods that youth wanted by age; with older youth seemingly wanting more independent methods of training and younger teens wanting more involvement. Results indicate that youth want methods of safety training that are different from what they are getting on the job. The differences in methods wanted by age may aid in developing training programs appropriate for the developmental level of working youth.

Nurses' Lived Experience of Working with Nursing Students in Clinical Wards: a Phenomenological Study

PubMed Central

Parvan, Kobra; Shahbazi, Shahla; Ebrahimi, Hossein; Valizadeh, Susan; Rahmani, Azad; Jabbarzadeh Tabrizi, Faranak; Esmaili, Fariba

2018-01-01

Introduction: Despite being aware of the importance of nurses’ role in providing clinical training to nursing students, studies show that sufficient research has not yet been conducted on the experience of clinical nurses who are engaged in training nursing students outside their normal working hours. The present study aim to describe the experience of these nurses who are training outside their routine working hours. Methods: This study was conducted using descriptive-phenomenology method. Twelve nurses was participated in this research. Data were collected using purposive sampling method and face to face interviews based on nurses’ real life experience of students’ learning in clinical settings through answering open-ended questions. Spiegel burg analysis method was used to analyze the data. Results: The result of data analysis was the derivation of four themes and eight sub-themes. Themes included "nurses as teaching sources", "changes in the balance of doing routine tasks", "professional enthusiasm", and "nurses as students' professional socialization source of inspiration". Sub-themes included "efficient education", "poor education", "support", "interference in the role," "self-efficacy development", "inner satisfaction", "positive imaging" and "being a model". Conclusion: It is necessary that academic centers plan for teaching nurses working on a contractual basis in the field of the evaluation method and various methods of teaching. The findings also suggested the development of individual self-efficacy in clinical nurses who train students. PMID:29637056

Simulation Training: Evaluating the Instructor’s Contribution to a Wizard of Oz Simulator in Obstetrics and Gynecology Ultrasound Training

PubMed Central

Tepper, Ronnie

2017-01-01

Background Workplaces today demand graduates who are prepared with field-specific knowledge, advanced social skills, problem-solving skills, and integration capabilities. Meeting these goals with didactic learning (DL) is becoming increasingly difficult. Enhanced training methods that would better prepare tomorrow’s graduates must be more engaging and game-like, such as feedback based e-learning or simulation-based training, while saving time. Empirical evidence regarding the effectiveness of advanced learning methods is lacking. Objective quantitative research comparing advanced training methods with DL is sparse. Objectives This quantitative study assessed the effectiveness of a computerized interactive simulator coupled with an instructor who monitored students’ progress and provided Web-based immediate feedback. Methods A low-cost, globally accessible, telemedicine simulator, developed at the Technion—Israel Institute of Technology, Haifa, Israel—was used. A previous study in the field of interventional cardiology, evaluating the efficacy of the simulator to enhanced learning via knowledge exams, presented promising results of average scores varying from 94% after training and 54% before training (n=20) with P<.001. Two independent experiments involving obstetrics and gynecology (Ob-Gyn) physicians and senior ultrasound sonographers, with 32 subjects, were conducted using a new interactive concept of the WOZ (Wizard of OZ) simulator platform. The contribution of an instructor to learning outcomes was evaluated by comparing students’ knowledge before and after each interactive instructor-led session as well as after fully automated e-learning in the field of Ob-Gyn. Results from objective knowledge tests were analyzed using hypothesis testing and model fitting. Results A significant advantage (P=.01) was found in favor of the WOZ training approach. Content type and training audience were not significant. Conclusions This study evaluated the contribution of an integrated teaching environment using a computerized interactive simulator, with an instructor providing immediate Web-based immediate feedback to trainees. Involvement of an instructor in the simulation-based training process provided better learning outcomes that varied training content and trainee populations did not affect the overall learning gains. PMID:28432039

Reinforcement learning for a biped robot based on a CPG-actor-critic method.

PubMed

Nakamura, Yutaka; Mori, Takeshi; Sato, Masa-aki; Ishii, Shin

2007-08-01

Animals' rhythmic movements, such as locomotion, are considered to be controlled by neural circuits called central pattern generators (CPGs), which generate oscillatory signals. Motivated by this biological mechanism, studies have been conducted on the rhythmic movements controlled by CPG. As an autonomous learning framework for a CPG controller, we propose in this article a reinforcement learning method we call the "CPG-actor-critic" method. This method introduces a new architecture to the actor, and its training is roughly based on a stochastic policy gradient algorithm presented recently. We apply this method to an automatic acquisition problem of control for a biped robot. Computer simulations show that training of the CPG can be successfully performed by our method, thus allowing the biped robot to not only walk stably but also adapt to environmental changes.

A comparison of machine learning and Bayesian modelling for molecular serotyping.

PubMed

Newton, Richard; Wernisch, Lorenz

2017-08-11

Streptococcus pneumoniae is a human pathogen that is a major cause of infant mortality. Identifying the pneumococcal serotype is an important step in monitoring the impact of vaccines used to protect against disease. Genomic microarrays provide an effective method for molecular serotyping. Previously we developed an empirical Bayesian model for the classification of serotypes from a molecular serotyping array. With only few samples available, a model driven approach was the only option. In the meanwhile, several thousand samples have been made available to us, providing an opportunity to investigate serotype classification by machine learning methods, which could complement the Bayesian model. We compare the performance of the original Bayesian model with two machine learning algorithms: Gradient Boosting Machines and Random Forests. We present our results as an example of a generic strategy whereby a preliminary probabilistic model is complemented or replaced by a machine learning classifier once enough data are available. Despite the availability of thousands of serotyping arrays, a problem encountered when applying machine learning methods is the lack of training data containing mixtures of serotypes; due to the large number of possible combinations. Most of the available training data comprises samples with only a single serotype. To overcome the lack of training data we implemented an iterative analysis, creating artificial training data of serotype mixtures by combining raw data from single serotype arrays. With the enhanced training set the machine learning algorithms out perform the original Bayesian model. However, for serotypes currently lacking sufficient training data the best performing implementation was a combination of the results of the Bayesian Model and the Gradient Boosting Machine. As well as being an effective method for classifying biological data, machine learning can also be used as an efficient method for revealing subtle biological insights, which we illustrate with an example.

ERP and Behavioral Effects of Physical and Cognitive Training on Working Memory in Aging: A Randomized Controlled Study

PubMed Central

Falkenstein, Michael

2018-01-01

Working memory (WM) performance decreases with age. A promising method to improve WM is physical or cognitive training. The present randomized controlled study is aimed at evaluating the effects of different training methods on WM. A sample of 141 healthy older adults (mean age 70 years) was assigned to one of four groups: physical training, cognitive training, a social control group, and a no-contact control group. The participants trained for four months. Before and after the training, n-back task during an EEG recording was applied. The results show that cognitive training enhanced the target detection rate in the 2-back task. This was corroborated by an increased number of repeated digits in the backward digit-span test but not in other memory tests. The improvement of WM was supported by an increased P3a prior to a correct target and an increased P3b both in nontarget and target trials. No ERP effects in the physical and no-contact control groups were found, while a reduction of P3a and P3b was found in the social control group. Thus, cognitive training enhances frontal and parietal processing related to the maintenance of a stored stimulus for subsequent matching with an upcoming stimulus and increases allocation of cognitive resources. These results indicate that multidomain cognitive training may increase WM capacity and neuronal activity in older age. PMID:29796016

Experiments in mixed reality

NASA Astrophysics Data System (ADS)

Krum, David M.; Sadek, Ramy; Kohli, Luv; Olson, Logan; Bolas, Mark

2010-01-01

As part of the Institute for Creative Technologies and the School of Cinematic Arts at the University of Southern California, the Mixed Reality lab develops technologies and techniques for presenting realistic immersive training experiences. Such experiences typically place users within a complex ecology of social actors, physical objects, and collections of intents, motivations, relationships, and other psychological constructs. Currently, it remains infeasible to completely synthesize the interactivity and sensory signatures of such ecologies. For this reason, the lab advocates mixed reality methods for training and conducts experiments exploring such methods. Currently, the lab focuses on understanding and exploiting the elasticity of human perception with respect to representational differences between real and virtual environments. This paper presents an overview of three projects: techniques for redirected walking, displays for the representation of virtual humans, and audio processing to increase stress.

Collaborative labeling of malignant glioma with WebMILL: a first look

NASA Astrophysics Data System (ADS)

Singh, Eesha; Asman, Andrew J.; Xu, Zhoubing; Chambless, Lola; Thompson, Reid; Landman, Bennett A.

2012-02-01

Malignant gliomas are the most common form of primary neoplasm in the central nervous system, and one of the most rapidly fatal of all human malignancies. They are treated by maximal surgical resection followed by radiation and chemotherapy. Herein, we seek to improve the methods available to quantify the extent of tumors using newly presented, collaborative labeling techniques on magnetic resonance imaging. Traditionally, labeling medical images has entailed that expert raters operate on one image at a time, which is resource intensive and not practical for very large datasets. Using many, minimally trained raters to label images has the possibility of minimizing laboratory requirements and allowing high degrees of parallelism. A successful effort also has the possibility of reducing overall cost. This potentially transformative technology presents a new set of problems, because one must pose the labeling challenge in a manner accessible to people with little or no background in labeling medical images and raters cannot be expected to read detailed instructions. Hence, a different training method has to be employed. The training must appeal to all types of learners and have the same concepts presented in multiple ways to ensure that all the subjects understand the basics of labeling. Our overall objective is to demonstrate the feasibility of studying malignant glioma morphometry through statistical analysis of the collaborative efforts of many, minimally-trained raters. This study presents preliminary results on optimization of the WebMILL framework for neoplasm labeling and investigates the initial contributions of 78 raters labeling 98 whole-brain datasets.

A data fusion approach for track monitoring from multiple in-service trains

NASA Astrophysics Data System (ADS)

Lederman, George; Chen, Siheng; Garrett, James H.; Kovačević, Jelena; Noh, Hae Young; Bielak, Jacobo

2017-10-01

We present a data fusion approach for enabling data-driven rail-infrastructure monitoring from multiple in-service trains. A number of researchers have proposed using vibration data collected from in-service trains as a low-cost method to monitor track geometry. The majority of this work has focused on developing novel features to extract information about the tracks from data produced by individual sensors on individual trains. We extend this work by presenting a technique to combine extracted features from multiple passes over the tracks from multiple sensors aboard multiple vehicles. There are a number of challenges in combining multiple data sources, like different relative position coordinates depending on the location of the sensor within the train. Furthermore, as the number of sensors increases, the likelihood that some will malfunction also increases. We use a two-step approach that first minimizes position offset errors through data alignment, then fuses the data with a novel adaptive Kalman filter that weights data according to its estimated reliability. We show the efficacy of this approach both through simulations and on a data-set collected from two instrumented trains operating over a one-year period. Combining data from numerous in-service trains allows for more continuous and more reliable data-driven monitoring than analyzing data from any one train alone; as the number of instrumented trains increases, the proposed fusion approach could facilitate track monitoring of entire rail-networks.

Digital coincidence counting

NASA Astrophysics Data System (ADS)

Buckman, S. M.; Ius, D.

1996-02-01

This paper reports on the development of a digital coincidence-counting system which comprises a custom-built data acquisition card and associated PC software. The system has been designed to digitise the pulse-trains from two radiation detectors at a rate of 20 MSamples/s with 12-bit resolution. Through hardware compression of the data, the system can continuously record both individual pulse-shapes and the time intervals between pulses. Software-based circuits are used to process the stored pulse trains. These circuits are constructed simply by linking together icons representing various components such as coincidence mixers, time delays, single-channel analysers, deadtimes and scalers. This system enables a pair of pulse trains to be processed repeatedly using any number of different methods. Some preliminary results are presented in order to demonstrate the versatility and efficiency of this new method.

Impact of online training on delivering a difficult medical diagnosis: Acquiring communication skills.

PubMed

Saint-Dizier de Almeida, Valérie; Agnoletti, Marie-France

2015-09-01

This paper deals with developing and assessing the training of physicians to deliver a difficult diagnosis to patients. The training is provided by a web-based self-training package. This online training emphasizes the structural, functional and relational dimensions of interviews delivering a serious diagnosis, and a logical set of recommendations for behavior towards the patient. The content is illustrated by numerous delivery interview sequences that are described and for which commentary is provided. This online package was expected to enable physicians to acquire new skills and change their mental picture of diagnosis delivery. Here we discuss the assessment of training in managing the delivery of a serious diagnosis. The approach taken and the methods used to measure knowledge and skills are presented. Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Effects of neurofeedback training on the brain wave of adults with forward head posture

PubMed Central

Oh, Hyun-Ju; Song, Gui-Bin

2016-01-01

[Purpose] The purpose of the present study was to examine the effects of neurofeedback training on electroencephalogram changes in the cervical spine in adults with forward head posture through x-ray. [Subjects and Methods] The subjects of the study were 40 college students with forward head posture, randomly divided into a neurofeedback training group (NFTG, n=20) and a control group (CG, n=20). The neurofeedback training group performed six sessions of pottery and archery games, each for two minutes, three times per week for four weeks, while using the neurofeedback system. [Results] There were significant effects within and between groups in terms of the Delta wave, the Theta wave, the Alpha wave, the Beta wave, or the sensory motor rhythm. Especially, the Delta wave, Beta wave, and the sensory motor rhythm were showed significant effects between the groups. [Conclusion] It is thought that neurofeedback training, a training approach to self-regulate brain waves, enhances concentration and relaxation without stress, as well as an increase in attention, memory, and verbal cognitive performance. Therefore an effective intervention method to improve neck pain and daily activities. PMID:27821966

Intelligent multi-spectral IR image segmentation

NASA Astrophysics Data System (ADS)

Lu, Thomas; Luong, Andrew; Heim, Stephen; Patel, Maharshi; Chen, Kang; Chao, Tien-Hsin; Chow, Edward; Torres, Gilbert

2017-05-01

This article presents a neural network based multi-spectral image segmentation method. A neural network is trained on the selected features of both the objects and background in the longwave (LW) Infrared (IR) images. Multiple iterations of training are performed until the accuracy of the segmentation reaches satisfactory level. The segmentation boundary of the LW image is used to segment the midwave (MW) and shortwave (SW) IR images. A second neural network detects the local discontinuities and refines the accuracy of the local boundaries. This article compares the neural network based segmentation method to the Wavelet-threshold and Grab-Cut methods. Test results have shown increased accuracy and robustness of this segmentation scheme for multi-spectral IR images.

[Simulation training in pulmonary medicine: Rationale, review of the literature and perspectives].

PubMed

Hureaux, J; Urban, T

2015-12-01

Training in pulmonary medicine requires the acquisition of a great deal of knowledge, but also technical know-how and interpersonal skills. The prevailing teaching pattern is mentorship. It implies a direct transmission of knowledge, but also entails some drawbacks such as disparity in learning opportunities, subjective evaluation of the trainee and potential risks for patients. There is growing interest in simulation training as a teaching technique, where students practice their skills in a secure environment, then analyse their performance in a debriefing session. It is complementary to other learning methods (abstraction, observation or mentorship) and forms part of an ethical approach: 'never practice on a real patient for the first time'. We have reviewed the literature related to simulation training in pulmonary medicine and in particular for physical examination, technical skills, pathologies, communication with patients and therapeutic education. In most of the studies, simulation training is a way of speeding up students' training - without necessarily yielding better results - and of respecting the procedures. We then present the French regulations and official guidelines regarding the use of this training method in the teaching of medicine. Finally, we shall consider some prospects of this approach for the community of pulmonologists. Copyright © 2015 SPLF. Published by Elsevier Masson SAS. All rights reserved.

SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method.

PubMed

Bernal, Javier; Torres-Jimenez, Jose

2015-01-01

SAGRAD (Simulated Annealing GRADient), a Fortran 77 program for computing neural networks for classification using batch learning, is discussed. Neural network training in SAGRAD is based on a combination of simulated annealing and Møller's scaled conjugate gradient algorithm, the latter a variation of the traditional conjugate gradient method, better suited for the nonquadratic nature of neural networks. Different aspects of the implementation of the training process in SAGRAD are discussed, such as the efficient computation of gradients and multiplication of vectors by Hessian matrices that are required by Møller's algorithm; the (re)initialization of weights with simulated annealing required to (re)start Møller's algorithm the first time and each time thereafter that it shows insufficient progress in reaching a possibly local minimum; and the use of simulated annealing when Møller's algorithm, after possibly making considerable progress, becomes stuck at a local minimum or flat area of weight space. Outlines of the scaled conjugate gradient algorithm, the simulated annealing procedure and the training process used in SAGRAD are presented together with results from running SAGRAD on two examples of training data.

Feedback of final year ophthalmology postgraduates about their residency ophthalmology training in South India

PubMed Central

Ajay, K.; Krishnaprasad, R.

2014-01-01

Background and Aims: This study documents a survey of final-year ophthalmology postgraduate students on the subject of their residency training. A similar survey conducted 7 years ago published in IJO had concluded that the residency program was not up to expectations in many centers. Our study aimed to see if ophthalmology training and student perceptions differed since then. Materials and Methods: For our study, we added a few questions to the same questionnaire used in the article “which is the best method to learn ophthalmology? Resident doctors’ perspective of ophthalmology training” published in IJO, Vol. 56 (5). Results: Forty-nine students (62.02%) returned completed forms. Most students desired an orientation program on entering residency, and wished to undergo diagnostic training initially. Case-presentation with demonstration and Wet-lab learning were most preferred. There was a big difference between the number of surgeries students actually performed and the number they felt would have been ideal. Conclusion: On the whole, the students still felt the need for improved training across all aspects of ophthalmology. PMID:25116778

Training for cervical cancer prevention programs in low-resource settings: focus on visual inspection with acetic acid and cryotherapy.

PubMed

Blumenthal, P D; Lauterbach, M; Sellors, J W; Sankaranarayanan, R

2005-05-01

The modern approach to cervical cancer prevention, characterized by use of cytology and multiple visits for diagnosis and treatment, has frequently proven challenging and unworkable in low-resource settings. Because of this, the Alliance for Cervical Cancer Prevention (ACCP) has made it a priority to investigate and assess alternative approaches, particularly the use of visual screening methods, such as visual inspection with acetic acid (VIA) and visual inspection with Lugol's iodine (VILI), for precancer and cancer detection and the use of cryotherapy as a precancer treatment method. As a result of ACCP experience in providing training to nurses and doctors in these techniques, it is now widely agreed that training should be competency based, combining both didactic and hands-on approaches, and should be done in a clinical setting that resembles the service-delivery conditions at the program site. This article reviews ACCP experiences and perceptions about the essentials of training in visual inspection and cryotherapy and presents some lessons learned with regard to training in these techniques in low-resource settings.

Automotive technicians' training as a community-of-practice: implications for the design of an augmented reality teaching aid.

PubMed

Anastassova, Margarita; Burkhardt, Jean-Marie

2009-07-01

The paper presents an ergonomic analysis carried out in the early phases of an R&D project. The purpose was to investigate the functioning of today's Automotive Service Technicians (ASTs) training in order to inform the design of an Augmented Reality (AR) teaching aid. The first part of the paper presents a literature review of some major problems encountered by ASTs today. The benefits of AR as technological aid are also introduced. Then, the methodology and the results of two case studies are presented. The first study is based on interviews with trainers and trainees; the second one on observations in real training settings. The results support the assumption that today's ASTs' training could be regarded as a community-of-practice (CoP). Therefore, AR could be useful as a collaboration tool, offering a shared virtual representation of real vehicle's parts, which are normally invisible unless dismantled (e.g. the parts of a hydraulic automatic transmission). We conclude on the methods and the technologies to support the automotive CoP.

Application of the Augmented Reality in prototyping the educational simulator in sport - the example of judo

NASA Astrophysics Data System (ADS)

Cieślńiski, Wojciech B.; Sobecki, Janusz; Piepiora, Paweł A.; Piepiora, Zbigniew N.; Witkowski, Kazimierz

2016-04-01

The mental training (Galloway, 2011) is one of the measures of the psychological preparation in sport. Especially such as the judo discipline requires the mental training, due to the fact that the judo is a combat sport, the direct, physical confrontation of two opponents. Hence the mental preparation should be an essential element of preparing for the sports fight. In the article are described the basics of the AR systems and presents selected elements of the AR systems: sight glasses Vuzix glasses, Kinect sensor and an interactive floor Multitap. Next, there are proposed the scenarios for using the AR in the mental training which are based on using both Vuzix glasses type head as well as the interactive floor Multitap. All options, except for the last, are provided for using the Kinect sensor. In addition, these variants differ as to the primary user of the system. It can be an competitor, his coach the competitor and the coach at the same time. In the end of the article are presented methods of exploring, both, the effectiveness and usefulness, and/or the User Experience of the proposed prototypes. There are presented three educational training simulator prototype models in sport (judo) describing their functionality based on the theory of sports training (the cyclical nature of sports training) and the theory of subtle interactions, enabling an explanation of the effects of sports training using the augmented reality technology.

Treatment Response to an Intensive Summer Treatment Program for Adolescents with ADHD

ERIC Educational Resources Information Center

Sibley, Margaret H.; Smith, Bradley H.; Evans, Steven W.; Pelham, William E.; Gnagy, Elizabeth M.

2012-01-01

Objective: There are presently almost no empirically validated treatments for adolescents with ADHD. However, in childhood, behavioral treatments for ADHD typically include behavioral parent training, classroom interventions, and intensive child-directed interventions. Method: The present investigation examines treatment gains following an 8-week…

Workshop-based training in trauma-focused CBT: an in-depth analysis of impact on provider practices.

PubMed

Jensen-Doss, Amanda; Cusack, Karen J; de Arellano, Michael A

2008-08-01

Despite evidence that more intensive methods are more effective, many clinical settings continue to train practitioners using workshops. To more fully understand the strengths and limitations of workshops, the present investigation studied changes in practitioner behavior following a workshop in trauma-focused cognitive-behavioral therapy (TF-CBT). A chart review indicated no changes in TF-CBT use following the training, although therapists indicated that CBT was the most effective treatment for traumatized youths and was their primary approach to treating trauma. Analysis of client factors indicated weak relationships between technique use and treatment need. Implications of these findings for future training efforts are discussed.

A study of the effects of active listening on listening attitudes of middle managers.

PubMed

Kubota, Shinya; Mishima, Norio; Nagata, Shoji

2004-01-01

The present study was conducted to clarify the direct effects of active listening (AL) training given to middle managers in a local government. Altogether, 345 middle managers participated in 13 AL training sessions over two years. We developed the Inventive Experiential Learning (IEL) method, and used it as the central training method in this study. To investigate how well the participants learned AL, we asked the middle managers to answer a shorter version of the Active Listening Attitude Scale (ALAS) consisting of two subscales-i.e. "Listening Attitude" and "Listening Skill"-before training, one month after and three months after training. Altogether, 284 middle managers answered the questionnaire three times. The scores of each subscale were analyzed by repeated measurement analysis of variance. The participants were divided into three groups using the percentile values of the original sample of ALAS, i.e. low-score group (-24%), medium-score group (25-75%) and high-score group (76%-), and the proportionate changes were examined. The results showed both the "Listening Attitude" and "Listening Skill" subscales increased significantly after training. Analysis of the percentiles showed that the proportion of the low-score group decreased and that of the high-score group increased in both subscales, from one to three months after training. These changes are considered to indicate that the participants have learned AL although they attended AL training for only one day.

From Training to Organizational Behavior: A Mediation Model through Absorptive and Innovative Capacities

PubMed Central

Yáñez-Araque, Benito; Hernández-Perlines, Felipe; Moreno-Garcia, Juan

2017-01-01

The training of human resources improves business performance: myth or reality? While the literature has extensively addressed this issue, the transfer that occurs from training to performance still remains unresolved. The present study suggests an empirical solution to this gap, through a multiple mediation model of dynamic capabilities. Accordingly, the study makes a major contribution to the effectiveness of an organizational-level training: the “true” relationship between training and performance is mediated by absorptive and innovative capacities. It is difficult from training to directly affect the results: it must be done through a chain of intermediate variables. Training can be argued to be indirectly related to performance, through absorptive capacity in the first place, and innovative capacity in the second, sequentially in this order (three-path mediated effect). Of all immediate relationships received by performance, its explained variance is achieved partly via absorptive capacity and partly via innovation. The direct relationship through training is not significant and only explains a small percentage of the variance in performance. These results have been corroborated by combining two methods of analysis: PLS-SEM and fsQCA, using data from an online survey. This dual methodology in the study of the same phenomenon allows overcoming the limitations of each method, which would not have been possible with a single methodological approach, and confirming the findings obtained by any of them. PMID:28966599

STACCATO: a novel solution to supernova photometric classification with biased training sets

NASA Astrophysics Data System (ADS)

Revsbech, E. A.; Trotta, R.; van Dyk, D. A.

2018-01-01

We present a new solution to the problem of classifying Type Ia supernovae from their light curves alone given a spectroscopically confirmed but biased training set, circumventing the need to obtain an observationally expensive unbiased training set. We use Gaussian processes (GPs) to model the supernovae's (SN's) light curves, and demonstrate that the choice of covariance function has only a small influence on the GPs ability to accurately classify SNe. We extend and improve the approach of Richards et al. - a diffusion map combined with a random forest classifier - to deal specifically with the case of biased training sets. We propose a novel method called Synthetically Augmented Light Curve Classification (STACCATO) that synthetically augments a biased training set by generating additional training data from the fitted GPs. Key to the success of the method is the partitioning of the observations into subgroups based on their propensity score of being included in the training set. Using simulated light curve data, we show that STACCATO increases performance, as measured by the area under the Receiver Operating Characteristic curve (AUC), from 0.93 to 0.96, close to the AUC of 0.977 obtained using the 'gold standard' of an unbiased training set and significantly improving on the previous best result of 0.88. STACCATO also increases the true positive rate for SNIa classification by up to a factor of 50 for high-redshift/low-brightness SNe.

From Training to Organizational Behavior: A Mediation Model through Absorptive and Innovative Capacities.

PubMed

Yáñez-Araque, Benito; Hernández-Perlines, Felipe; Moreno-Garcia, Juan

2017-01-01

The training of human resources improves business performance: myth or reality? While the literature has extensively addressed this issue, the transfer that occurs from training to performance still remains unresolved. The present study suggests an empirical solution to this gap, through a multiple mediation model of dynamic capabilities. Accordingly, the study makes a major contribution to the effectiveness of an organizational-level training: the "true" relationship between training and performance is mediated by absorptive and innovative capacities. It is difficult from training to directly affect the results: it must be done through a chain of intermediate variables. Training can be argued to be indirectly related to performance, through absorptive capacity in the first place, and innovative capacity in the second, sequentially in this order (three-path mediated effect). Of all immediate relationships received by performance, its explained variance is achieved partly via absorptive capacity and partly via innovation. The direct relationship through training is not significant and only explains a small percentage of the variance in performance. These results have been corroborated by combining two methods of analysis: PLS-SEM and fsQCA, using data from an online survey. This dual methodology in the study of the same phenomenon allows overcoming the limitations of each method, which would not have been possible with a single methodological approach, and confirming the findings obtained by any of them.

The impact of cognitive remediation on cerebral activity in schizophrenia: Systematic review of the literature.

PubMed

Bon, Laura; Franck, Nicolas

2018-03-01

cognitive remediation involves either intensive training of impaired functions or implementing strategies to compensate for these impairments. In cases of schizophrenia, both methods have demonstrated benefits in terms of behavior and cerebral activity. However, despite the major differences between these two approaches, their impact has not yet been compared. We searched the PsychInfo, Pubmed, and ScienceDirect databases using the key words "cognitive remediation," "schizophrenia," "cerebral activity," and "magnetic resonance imaging," in order to select studies investigating the effects of cognitive remediation on patients with schizophrenia. The studies selected had to present their approach in detail and measure its impact in terms of both cerebral activity and cognitive function, both before and after therapy. We divided the studies into two groups, those using the strategy method and those using the training method. Eight studies were included in the review, four for the strategy method (88 patients, 44 of whom underwent remediation) and 4 for the training method (87 patients, 43 of whom underwent remediation). The analysis of the results of this study indicates that the training method is capable of activating more the targeted brain areas than the strategy method. However, the latter appears to encourage more extensive activation of the cerebral networks. The studies used for this review vary widely in terms of the imaging methods and protocol. However, differences were found between the two methods and lead us to suggest that further studies, with proper bias control, should be conducted to systematically compare the two approaches.

[Initial training in psychotherapy for psychiatrists in France, a national qualitative study].

PubMed

Van Effenterre, Aude; Azoulay, Marion; Briffault, Xavier; Dezetter, Anne; Champion, Françoise

Objectives To explore the level of satisfaction among residents regarding their training in psychotherapies, the interest they have in these therapies, and their wishes in the area of training.Methods A survey including both a quantitative and qualitative methodology was undertaken among 869 residents out of 1,334 enrolled in the psychiatric residency program. In the 2009-2010 academic year. The survey included five themes of study: theoretical academic training, psychoanalysis, training in institutes outside the university, supervision, wishes in the area of training. This article presents results from the qualitative sociological survey using a semi-guided interview with 27 residents. Their conceptions and practice in the field of psychotherapy, and its place in psychiatric practice were questioned in-depth.Results The vast majority of residents were interested in psychotherapy, but simultaneously dissatisfied with the training they had received. Almost half opted for various sorts of extra-curricular training, costly in time and money. The psychotherapeutic orientations among these residents were varied, and a plurality of methods and theoretical approaches was advocated both for reasons of having a wider viewpoint and good practice in psychiatry, and because the residents considered this plurality to be an essential component in their training. They saw psychotherapy as a medical practice, and considered that it is the responsibility of the psychiatric discipline to provide training in psychotherapies.Conclusion The absence of any real training in psychotherapies for residents in psychiatry is damaging for care quality in psychiatry. The recent creation of a protected title of psychotherapist for psychiatrists without the need of additional training suggests an urgent need to develop a training course. A proposal by the authors should be discussed in light of reflections and proposals already underway in other countries.

Discrete Trials Teaching

ERIC Educational Resources Information Center

Ghezzi, Patrick M.

2007-01-01

The advantages of emphasizing discrete trials "teaching" over discrete trials "training" are presented first, followed by a discussion of discrete trials as a method of teaching that emerged historically--and as a matter of necessity for difficult learners such as those with autism--from discrete trials as a method for laboratory research. The…

Anthropologists and Missionaries. Part II. Studies in Third World Societies. Publication Number Twenty-Six.

ERIC Educational Resources Information Center

Salamone, Frank A., Ed.

The topics of anthropologist-missionary relationships, theology and missiology, research methods and missionary contributions to ethnology, missionary training and methods, and specific case studies are presented. The ten essays are: (1) "An Ethnoethnography of Missionaries in Kalingaland" (Robert Lawless); (2) "Missionization and…

Methods in Professional Training: Indoctrination from Step One.

ERIC Educational Resources Information Center

Powell, Marjorie

A preliminary classification of methods used during first-year law courses to develop a sense of professional identification among students is presented. Professors' images of lawyers conveyed to students are described based on faculty comments. In addition, informal student interviews were conducted to determine their awareness of this…

The Effect of Training Program for Staff Members to Develop Their Skills of Using Virtual Classrooms at King Saud University

ERIC Educational Resources Information Center

Alotaibi, Khaled Nahes; Almutairy, Sultan

2012-01-01

The present study aims at showing the effectiveness of a suggested training program for staff members at Teachers' College of King Saud University to develop their skills of using virtual classrooms. The research is empirical as it used two experimental groups. The first group is taught how to use the common teaching method and the second group is…

Sensory Evaluation as a Tool in Determining Acceptability of Innovative Products Developed by Undergraduate Students in Food Science and Technology at the University of Trinidad and Tobago

ERIC Educational Resources Information Center

Singh-Ackbarali, Dimple; Maharaj, Rohanie

2014-01-01

This paper discusses the comprehensive and practical training that was delivered to students in a university classroom on how sensory evaluation can be used to determine acceptability of food products. The report presents how students used their training on sensory evaluation methods and analysis and applied it to improving and predicting…

A conceptual model for worksite intelligent physical exercise training - IPET - intervention for decreasing life style health risk indicators among employees: a randomized controlled trial

PubMed Central

2014-01-01

Background Health promotion at the work site in terms of physical activity has proven positive effects but optimization of relevant exercise training protocols and implementation for high adherence are still scanty. Methods/Design The aim of this paper is to present a study protocol with a conceptual model for planning the optimal individually tailored physical exercise training for each worker based on individual health check, existing guidelines and state of the art sports science training recommendations in the broad categories of cardiorespiratory fitness, muscle strength in specific body parts, and functional training including balance training. The hypotheses of this research are that individually tailored worksite-based intelligent physical exercise training, IPET, among workers with inactive job categories will: 1) Improve cardiorespiratory fitness and/or individual health risk indicators, 2) Improve muscle strength and decrease musculoskeletal disorders, 3) Succeed in regular adherence to worksite and leisure physical activity training, and 3) Reduce sickness absence and productivity losses (presenteeism) in office workers. The present RCT study enrolled almost 400 employees with sedentary jobs in the private as well as public sectors. The training interventions last 2 years with measures at baseline as well as one and two years follow-up. Discussion If proven effective, the intelligent physical exercise training scheduled as well as the information for its practical implementation can provide meaningful scientifically based information for public health policy. Trial Registration ClinicalTrials.gov, number: NCT01366950. PMID:24964869

Astronautics and psychology: recommendations for the psychological training of astronauts.

PubMed

Haupt, G F

1991-11-01

The methods presently applied in the psychological training of astronauts are based on the principle of ensuring maximum performance of astronauts during missions. The shortcomings are obvious since those undergoing training provide nothing but the best ability to cope with Earth problem situations and add simply an experience of space problem situations as they are presently conceived. Earth attitudes and Earth behaviour remain and are simply modified. Through the utilization of interdisciplinary space knowledge a much higher degree of problem anticipation could be achieved and the astronaut be psychologically transformed into a space-being. This would at the same time stimulate interdisciplinary space research. The interdisciplinary space knowledge already available suggests that space requires not only physical and mental adjustments, but a profoundly new relationship with life.

Patch-based iterative conditional geostatistical simulation using graph cuts

NASA Astrophysics Data System (ADS)

Li, Xue; Mariethoz, Gregoire; Lu, DeTang; Linde, Niklas

2016-08-01

Training image-based geostatistical methods are increasingly popular in groundwater hydrology even if existing algorithms present limitations that often make real-world applications difficult. These limitations include a computational cost that can be prohibitive for high-resolution 3-D applications, the presence of visual artifacts in the model realizations, and a low variability between model realizations due to the limited pool of patterns available in a finite-size training image. In this paper, we address these issues by proposing an iterative patch-based algorithm which adapts a graph cuts methodology that is widely used in computer graphics. Our adapted graph cuts method optimally cuts patches of pixel values borrowed from the training image and assembles them successively, each time accounting for the information of previously stitched patches. The initial simulation result might display artifacts, which are identified as regions of high cost. These artifacts are reduced by iteratively placing new patches in high-cost regions. In contrast to most patch-based algorithms, the proposed scheme can also efficiently address point conditioning. An advantage of the method is that the cut process results in the creation of new patterns that are not present in the training image, thereby increasing pattern variability. To quantify this effect, a new measure of variability is developed, the merging index, quantifies the pattern variability in the realizations with respect to the training image. A series of sensitivity analyses demonstrates the stability of the proposed graph cuts approach, which produces satisfying simulations for a wide range of parameters values. Applications to 2-D and 3-D cases are compared to state-of-the-art multiple-point methods. The results show that the proposed approach obtains significant speedups and increases variability between realizations. Connectivity functions applied to 2-D models transport simulations in 3-D models are used to demonstrate that pattern continuity is preserved.

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

PubMed

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

2013-11-01

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

Evaluating the Effectiveness of Public Health Leadership Training: The NEPHLI Experience

PubMed Central

Saleh, Shadi S.; Williams, Dwight; Balougan, Modinat

2004-01-01

Objectives. We assessed the effect of public health leadership training on the capacity of public health leaders to perform competencies derived from the list of “Ten Essential Public Health Services” presented in 1994 by the steering committee of the Public Health Functions Project. Methods. Graduating scholars of the Northeast Public Health Leadership Institute were surveyed to determine differences in skill level in 15 competency areas before and after training. Surveys were completed after program completion. Results. The training program improved the skill levels of participants in all 15 competency areas. A relation also was detected between the frequency of use of the competency and the improvement experienced. Conclusions. Public health leadership training programs are effective in improving the skills of public health workers. PMID:15226150

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.

Unsupervised Feature Learning With Winner-Takes-All Based STDP

PubMed Central

Ferré, Paul; Mamalet, Franck; Thorpe, Simon J.

2018-01-01

We present a novel strategy for unsupervised feature learning in image applications inspired by the Spike-Timing-Dependent-Plasticity (STDP) biological learning rule. We show equivalence between rank order coding Leaky-Integrate-and-Fire neurons and ReLU artificial neurons when applied to non-temporal data. We apply this to images using rank-order coding, which allows us to perform a full network simulation with a single feed-forward pass using GPU hardware. Next we introduce a binary STDP learning rule compatible with training on batches of images. Two mechanisms to stabilize the training are also presented : a Winner-Takes-All (WTA) framework which selects the most relevant patches to learn from along the spatial dimensions, and a simple feature-wise normalization as homeostatic process. This learning process allows us to train multi-layer architectures of convolutional sparse features. We apply our method to extract features from the MNIST, ETH80, CIFAR-10, and STL-10 datasets and show that these features are relevant for classification. We finally compare these results with several other state of the art unsupervised learning methods. PMID:29674961

Effect of IQoro® training on impaired postural control and oropharyngeal motor function in patients with dysphagia after stroke.

PubMed

Hägg, Mary; Tibbling, Lita

2016-07-01

Conclusion All patients with dysphagia after stroke have impaired postural control. IQoro® screen (IQS) training gives a significant and lasting improvement of postural control running parallel with significant improvement of oropharyngeal motor dysfunction (OPMD). Objectives The present investigation aimed at studying the frequency of impaired postural control in patients with stroke-related dysphagia and if IQS training has any effect on impaired postural control in parallel with effect on OPMD. Method A prospective clinical study was carried out with 26 adult patients with stroke-related dysphagia. The training effect was compared between patients consecutively investigated at two different time periods, the first period with 15 patients included in the study more than half a year after stroke, the second period with 11 patients included within 1 month after stroke. Postural control tests and different oropharyngeal motor tests were performed before and after 3 months of oropharyngeal sensorimotor training with an IQS, and at a late follow-up (median 59 weeks after end of training). Result All patients had impaired postural control at baseline. Significant improvement in postural control and OPMD was observed after the completion of IQS training in both intervention groups. The improvements were still present at the late follow-up.

Advances in the Treatment of MELAS Syndrome: Could Cognitive Rehabilitation Have a Role?

PubMed

De Luca, Rosaria; Russo, Margherita; Leonardi, Simona; Spadaro, Letteria; Cicero, Cettina; Naro, Antonino; Bramanti, Placido; Calabrò, Rocco Salvatore

2016-01-01

Mitochondrial encephalomyopathy, lactic acidosis, and strokelike episodes syndrome (MELAS) is a rare inherited mitochondrial disorder, commonly due to the m.3243A>G mutation, which typically presents with seizures, headaches, and acute neurological stroke-mimicking deficits. At onset, there is often no general intellectual deterioration in these patients, although specific cognitive deficits in peculiar language domains, visual construction, attention, abstraction, or flexibility may be present. To date, there is no evidence for an effective treatment in individuals with MELAS. Herein, we describe the case of young woman affected by MELAS who underwent an intensive cognitive training by means of the following methods: (a) traditional cognitive training, (b) computerized cognitive training (CCT), and (c) CCT plus a low-intensity aerobic motor exercise. We compared her cognitive and psychological profile at baseline (T0) and at the end of each training (i.e., (Time 1, Time 2, and Time 3 [T3]) using a proper psychometric battery, and we found a greater improvement at T3. Our findings support the idea that the combined CCT with motor training could represent a valuable therapeutic opportunity in MELAS.

Feature genes predicting the FLT3/ITD mutation in acute myeloid leukemia

PubMed Central

LI, CHENGLONG; ZHU, BIAO; CHEN, JIAO; HUANG, XIAOBING

2016-01-01

In the present study, gene expression profiles of acute myeloid leukemia (AML) samples were analyzed to identify feature genes with the capacity to predict the mutation status of FLT3/ITD. Two machine learning models, namely the support vector machine (SVM) and random forest (RF) methods, were used for classification. Four datasets were downloaded from the European Bioinformatics Institute, two of which (containing 371 samples, including 281 FLT3/ITD mutation-negative and 90 mutation-positive samples) were randomly defined as the training group, while the other two datasets (containing 488 samples, including 350 FLT3/ITD mutation-negative and 138 mutation-positive samples) were defined as the test group. Differentially expressed genes (DEGs) were identified by significance analysis of the micro-array data by using the training samples. The classification efficiency of the SCM and RF methods was evaluated using the following parameters: Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and the area under the receiver operating characteristic curve. Functional enrichment analysis was performed for the feature genes with DAVID. A total of 585 DEGs were identified in the training group, of which 580 were upregulated and five were downregulated. The classification accuracy rates of the two methods for the training group, the test group and the combined group using the 585 feature genes were >90%. For the SVM and RF methods, the rates of correct determination, specificity and PPV were >90%, while the sensitivity and NPV were >80%. The SVM method produced a slightly better classification effect than the RF method. A total of 13 biological pathways were overrepresented by the feature genes, mainly involving energy metabolism, chromatin organization and translation. The feature genes identified in the present study may be used to predict the mutation status of FLT3/ITD in patients with AML. PMID:27177049

Feature genes predicting the FLT3/ITD mutation in acute myeloid leukemia.

PubMed

Li, Chenglong; Zhu, Biao; Chen, Jiao; Huang, Xiaobing

2016-07-01

In the present study, gene expression profiles of acute myeloid leukemia (AML) samples were analyzed to identify feature genes with the capacity to predict the mutation status of FLT3/ITD. Two machine learning models, namely the support vector machine (SVM) and random forest (RF) methods, were used for classification. Four datasets were downloaded from the European Bioinformatics Institute, two of which (containing 371 samples, including 281 FLT3/ITD mutation-negative and 90 mutation‑positive samples) were randomly defined as the training group, while the other two datasets (containing 488 samples, including 350 FLT3/ITD mutation-negative and 138 mutation-positive samples) were defined as the test group. Differentially expressed genes (DEGs) were identified by significance analysis of the microarray data by using the training samples. The classification efficiency of the SCM and RF methods was evaluated using the following parameters: Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and the area under the receiver operating characteristic curve. Functional enrichment analysis was performed for the feature genes with DAVID. A total of 585 DEGs were identified in the training group, of which 580 were upregulated and five were downregulated. The classification accuracy rates of the two methods for the training group, the test group and the combined group using the 585 feature genes were >90%. For the SVM and RF methods, the rates of correct determination, specificity and PPV were >90%, while the sensitivity and NPV were >80%. The SVM method produced a slightly better classification effect than the RF method. A total of 13 biological pathways were overrepresented by the feature genes, mainly involving energy metabolism, chromatin organization and translation. The feature genes identified in the present study may be used to predict the mutation status of FLT3/ITD in patients with AML.

Sunspot drawings handwritten character recognition method based on deep learning

NASA Astrophysics Data System (ADS)

Zheng, Sheng; Zeng, Xiangyun; Lin, Ganghua; Zhao, Cui; Feng, Yongli; Tao, Jinping; Zhu, Daoyuan; Xiong, Li

2016-05-01

High accuracy scanned sunspot drawings handwritten characters recognition is an issue of critical importance to analyze sunspots movement and store them in the database. This paper presents a robust deep learning method for scanned sunspot drawings handwritten characters recognition. The convolution neural network (CNN) is one algorithm of deep learning which is truly successful in training of multi-layer network structure. CNN is used to train recognition model of handwritten character images which are extracted from the original sunspot drawings. We demonstrate the advantages of the proposed method on sunspot drawings provided by Chinese Academy Yunnan Observatory and obtain the daily full-disc sunspot numbers and sunspot areas from the sunspot drawings. The experimental results show that the proposed method achieves a high recognition accurate rate.

Method and system for determining the torque required to launch a vehicle having a hybrid drive-train

DOEpatents

Hughes, Douglas A.

2006-04-04

A method and system are provided for determining the torque required to launch a vehicle having a hybrid drive-train that includes at least two independently operable prime movers. The method includes the steps of determining the value of at least one control parameter indicative of a vehicle operating condition, determining the torque required to launch the vehicle from the at least one determined control parameter, comparing the torque available from the prime movers to the torque required to launch the vehicle, and controlling operation of the prime movers to launch the vehicle in response to the comparing step. The system of the present invention includes a control unit configured to perform the steps of the method outlined above.

Neural network approach for the calculation of potential coefficients in quantum mechanics

NASA Astrophysics Data System (ADS)

Ossandón, Sebastián; Reyes, Camilo; Cumsille, Patricio; Reyes, Carlos M.

2017-05-01

A numerical method based on artificial neural networks is used to solve the inverse Schrödinger equation for a multi-parameter class of potentials. First, the finite element method was used to solve repeatedly the direct problem for different parametrizations of the chosen potential function. Then, using the attainable eigenvalues as a training set of the direct radial basis neural network a map of new eigenvalues was obtained. This relationship was later inverted and refined by training an inverse radial basis neural network, allowing the calculation of the unknown parameters and therefore estimating the potential function. Three numerical examples are presented in order to prove the effectiveness of the method. The results show that the method proposed has the advantage to use less computational resources without a significant accuracy loss.

Assessing fitness-to-practice of overseas-trained health practitioners by Australian registration & accreditation bodies

PubMed Central

2012-01-01

Background Assessment of fitness-to-practice of health professionals trained overseas and who wish to practice in Australia is undertaken by a range of organisations. These organisations conduct assessments using a range of methods. However there is very little published about how these organisations conduct their assessments. The purpose of the current paper is to investigate the methods of assessment used by these organisations and the issues associated with conducting these assessments. Methods A series of semi-structured interviews was undertaken with a variety of organisations who undertake assessments of overseas-trained health professionals who wish to practice in Australia. Content analysis of the interviews was used to identify themes and patterns. Results Four themes were generated from the content analysis of the interviews: (1) assessing; (2) process; (3) examiners; and (4) cost-efficiency. The themes were interconnected and each theme also had a number of sub-themes. Conclusions The organisations who participated in the present study used a range of assessment methods to assess overseas trained health professionals. These organisations also highlighted a number of issues, particularly related to examiners and process issues, pre- and post-assessment. Organisations demonstrated an appreciation for ongoing review of their assessment processes and incorporating evidence from the literature to inform their processes and assessment development. PMID:23020885

[Effect of high-intensity interval training on the reduction of glycosylated hemoglobin in type-2 diabetic adult patients].

PubMed

Aguilera Eguía, Raúl Alberto; Russell Guzmán, Javier Antonio; Soto Muñoz, Marcelo Enrique; Villegas González, Bastián Eduardo; Poblete Aro, Carlos Emilio; Ibacache Palma, Alejandro

2015-03-05

Type 2 diabetes mellitus is one of the major non-communicable chronic diseases in the world. Its prevalence in Chile is significant, and complications associated with this disease involve great costs, which is why prevention and treatment of this condition are essential. Physical exercise is an effective means for prevention and treatment of type 2 diabetes mellitus. The emergence of new forms of physical training, such as "high intensity interval training", presents novel therapeutic alternatives for patients and health care professionals. To assess the validity and applicability of the results regarding the effectiveness of high intensity interval training in reducing glycosylated hemoglobin in adult patients with type 2 diabetes mellitus and answer the following question: In subjects with type 2 diabetes, can the method of high intensity interval training compared to moderate intensity exercise decrease glycosylated hemoglobin? We performed a critical analysis of the article "Feasibility and preliminary effectiveness of high intensity interval training in type 2 diabetes". We found no significant differences in the amount of glycosylated hemoglobin between groups of high intensity interval training and moderate-intensity exercise upon completion of the study (p>0.05). In adult patients with type 2 diabetes mellitus, high intensity interval training does not significantly improve glycosylated hemoglobin levels. Despite this, the high intensity interval training method shows as much improvement in body composition and physical condition as the moderate intensity exercise program.

A minimal dose approach to resistance training for the older adult; the prophylactic for aging.

PubMed

Fisher, James P; Steele, James; Gentil, Paulo; Giessing, Jürgen; Westcott, Wayne L

2017-12-01

A plethora of research has supported the numerous health benefits of resistance training as we age, including positive relationships between muscular strength, muscle mass and reduced all-cause mortality. As such, resistance training has been referred to as medicine. However, participation and adherence remains low, with time constraints and perceived difficulty often cited as barriers to resistance training. With this in mind, we aimed to summarise the benefits which might be obtained as a product of a minimal dose approach. In this sense, participation in resistance training might serve as a prophylactic to delay or prevent the onset of biological aging. A short review of studies reporting considerable health benefits resulting from low volume resistance training participation is presented, specifically considering the training time, frequency, intensity of effort, and exercises performed. Research supports the considerable physiological and psychological health benefits from resistance training and suggests that these can be obtained using a minimal dose approach (e.g. ≤60min, 2d-wk -1 ), using uncomplicated equipment/methods (e.g. weight stack machines). Our hope is that discussion of these specific recommendations, and provision of an example minimal dose workout, will promote resistance training participation by persons who might otherwise have not engaged. We also encourage medical professionals to use this information to prescribe resistance exercise like a drug whilst having an awareness of the health benefits and uncomplicated methods. Copyright © 2017 Elsevier Inc. All rights reserved.

LAHYSTOTRAIN development and evaluation of a complex training system for hysteroscopy.

PubMed

Müller-Wittig, W K; Bisler, A; Bockholt, U; Los Arcos, J L; Oppelt, P; Stähler, J; Voss, G

2001-01-01

Hysteroscopy has already become an irreplaceable method in gynaecoloic diagnosis and therapy. In the diagnostic case the hysteroscope with a 30 degrees optic is insert transvaginally, in the therapeutic case the resectoscope with a 12 degrees optic is used. The endoscopic intervention requires special surgical skills for endoscope handling and remote instrument control. To acquire these skills currently hands-on training in clinical praxis has become standard, which is linked with higher danger for the women. To overcome current drawbacks of traditional training methods the European project LAHYSTOTRAIN was set up, that tries to combine Virtual Reality (VR), Multimedia (MM) technology, and Intelligent Tutoring Systems (ITS) to develop an alternative training system for hysteroscopic interventions. The first prototype of the LAHYSTOTRAIN demonstrator has been shown on several European conferences. An evaluation of the system was performed, with the idea, to collect feedback and impressions, that should be considered in further developments. This paper presents the LAHYSTOTRAIN prototype and the results of these evaluations.

Convolutional networks for vehicle track segmentation

NASA Astrophysics Data System (ADS)

Quach, Tu-Thach

2017-10-01

Existing methods to detect vehicle tracks in coherent change detection images, a product of combining two synthetic aperture radar images taken at different times of the same scene, rely on simple and fast models to label track pixels. These models, however, are unable to capture natural track features, such as continuity and parallelism. More powerful but computationally expensive models can be used in offline settings. We present an approach that uses dilated convolutional networks consisting of a series of 3×3 convolutions to segment vehicle tracks. The design of our networks considers the fact that remote sensing applications tend to operate in low power and have limited training data. As a result, we aim for small and efficient networks that can be trained end-to-end to learn natural track features entirely from limited training data. We demonstrate that our six-layer network, trained on just 90 images, is computationally efficient and improves the F-score on a standard dataset to 0.992, up from 0.959 obtained by the current state-of-the-art method.

Latent Presentation of Decompression Sickness After Altitude Chamber Training in an Active Duty Flier.

PubMed

Gentry, James; Rango, Juan; Zhang, Jianzhong; Biedermann, Shane

2017-04-01

Decompression sickness (DCS) is a potential danger and risk for both divers and aircrew alike. DCS is also a potential side effect of altitude (hypobaric) chamber training as well and can present long after training occurs. Literature review shows that altitude chamber induced DCS has approximately a 0.25% incidence. A 32-yr-old, active duty military member developed symptoms of DCS 3 h after his hypobaric chamber training. Unfortunately, he did not seek treatment for DCS until 48 h after the exposure. His initial treatment included ground level oxygen therapy for 30 min at 12 L of oxygen per minute using a nonrebreathing mask. He achieved complete symptom resolution and was returned to duty. However, 12 d after his initial Flight Medicine evaluation, the patient returned complaining of a right temporal headache, multijoint pains, and fatigue. He was treated in the hyperbaric chamber and had complete resolution of symptoms. He was returned to flying status and 5 mo later denied any return of symptoms. Hypobaric chamber familiarity training is a requirement for all military aircrew personnel to allow them assess their ability to identify symptoms of hypoxia. This training method is not only costly to maintain, but it also places aircrew and chamber technicians at risk for potential long-term side effects from failed recompression treatment of DCS. We are presenting a case of recurrent DCS symptoms 12 d after initial ground level oxygen therapy.Gentry J, Rango J, Zhang J, Biedermann S. Latent presentation of decompression sickness after altitude chamber training in an active duty flier. Aerosp Med Hum Perform. 2017; 88(4):427-430.

Eddy Current Testing, RQA/M1-5330.17.

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, Huntsville, AL. George C. Marshall Space Flight Center.

As one in the series of classroom training handbooks, prepared by the U.S. space program, instructional material is presented in this volume concerning familiarization and orientation on eddy current testing. The subject is presented under the following headings: Introduction, Eddy Current Principles, Eddy Current Equipment, Eddy Current Methods,…

The influence of negative training set size on machine learning-based virtual screening.

PubMed

Kurczab, Rafał; Smusz, Sabina; Bojarski, Andrzej J

2014-01-01

The paper presents a thorough analysis of the influence of the number of negative training examples on the performance of machine learning methods. The impact of this rather neglected aspect of machine learning methods application was examined for sets containing a fixed number of positive and a varying number of negative examples randomly selected from the ZINC database. An increase in the ratio of positive to negative training instances was found to greatly influence most of the investigated evaluating parameters of ML methods in simulated virtual screening experiments. In a majority of cases, substantial increases in precision and MCC were observed in conjunction with some decreases in hit recall. The analysis of dynamics of those variations let us recommend an optimal composition of training data. The study was performed on several protein targets, 5 machine learning algorithms (SMO, Naïve Bayes, Ibk, J48 and Random Forest) and 2 types of molecular fingerprints (MACCS and CDK FP). The most effective classification was provided by the combination of CDK FP with SMO or Random Forest algorithms. The Naïve Bayes models appeared to be hardly sensitive to changes in the number of negative instances in the training set. In conclusion, the ratio of positive to negative training instances should be taken into account during the preparation of machine learning experiments, as it might significantly influence the performance of particular classifier. What is more, the optimization of negative training set size can be applied as a boosting-like approach in machine learning-based virtual screening.

The influence of negative training set size on machine learning-based virtual screening

PubMed Central

2014-01-01

Background The paper presents a thorough analysis of the influence of the number of negative training examples on the performance of machine learning methods. Results The impact of this rather neglected aspect of machine learning methods application was examined for sets containing a fixed number of positive and a varying number of negative examples randomly selected from the ZINC database. An increase in the ratio of positive to negative training instances was found to greatly influence most of the investigated evaluating parameters of ML methods in simulated virtual screening experiments. In a majority of cases, substantial increases in precision and MCC were observed in conjunction with some decreases in hit recall. The analysis of dynamics of those variations let us recommend an optimal composition of training data. The study was performed on several protein targets, 5 machine learning algorithms (SMO, Naïve Bayes, Ibk, J48 and Random Forest) and 2 types of molecular fingerprints (MACCS and CDK FP). The most effective classification was provided by the combination of CDK FP with SMO or Random Forest algorithms. The Naïve Bayes models appeared to be hardly sensitive to changes in the number of negative instances in the training set. Conclusions In conclusion, the ratio of positive to negative training instances should be taken into account during the preparation of machine learning experiments, as it might significantly influence the performance of particular classifier. What is more, the optimization of negative training set size can be applied as a boosting-like approach in machine learning-based virtual screening. PMID:24976867

A virtual reality assessment and training system for unilateral neglect.

PubMed

Kim, Kwanguk; Kim, Jaehun; Ku, Jeonghun; Kim, Deog Young; Chang, Won Hyek; Shin, Dong Ik; Lee, Jang Han; Kim, In Young; Kim, Sun I

2004-12-01

Patients with unilateral neglect have problems reporting, responding, or orienting to novel or meaningful stimuli that is presented to the side opposite to that of a brain lesion. This creates a serous problem in regards to daily living activities. However, the established methods for assessing and training of unilateral neglect patients have several deficits. Recently, virtual reality (VR) technologies have been used as an assessment and treatment tool for rehabilitation. Hence, this study designed a VR system to assess and train unilateral neglect patients. In addition, the suitability and feasibility of our VR system for unilateral neglect patients was verified.

Learning with imperfectly labeled patterns

NASA Technical Reports Server (NTRS)

Chittineni, C. B.

1979-01-01

The problem of learning in pattern recognition using imperfectly labeled patterns is considered. The performance of the Bayes and nearest neighbor classifiers with imperfect labels is discussed using a probabilistic model for the mislabeling of the training patterns. Schemes for training the classifier using both parametric and non parametric techniques are presented. Methods for the correction of imperfect labels were developed. To gain an understanding of the learning process, expressions are derived for success probability as a function of training time for a one dimensional increment error correction classifier with imperfect labels. Feature selection with imperfectly labeled patterns is described.

Assessment of a novel module for training dental students in child abuse recognition and reporting.

PubMed

Shapiro, Michael C; Anderson, O Roger; Lal, Shantanu

2014-08-01

This study assessed the merits of introducing a novel, online interactive training module designed to positively engage dental students and teach them to recognize and report signs of child abuse and neglect. The study aimed to determine if the online training module educated the students equivalently or better than a lecture presentation of the same content. Seventy-two students from Columbia University College of Dental Medicine's class of 2015 (90 percent of the class) agreed to participate and were randomly assigned to either a traditional lecture-based presentation or the online training module. Study participants were given a twenty-question multiple-choice pretest on their knowledge of child abuse recognition and reporting prior to the start of the study. The same instrument was administered as a posttest. At the end of the training, questionnaires were also given to both groups to assess students' perceptions of the two educational methodologies. The results showed that the interactive online training module was more effective than the lecture-based method. Results of the posttest comparison of the two groups were statistically significant (p<0.05) in favor of the online training group. Additionally, the students reported that the interactive online training module was engaging and a helpful resource, but on average they did not prefer it as a total replacement for the lecture-based approach.

The collaborative African genomics network training program: a trainee perspective on training the next generation of African scientists

PubMed Central

Mlotshwa, Busisiwe C.; Mwesigwa, Savannah; Mboowa, Gerald; Williams, Lesedi; Retshabile, Gaone; Kekitiinwa, Adeodata; Wayengera, Misaki; Kyobe, Samuel; Brown, Chester W.; Hanchard, Neil A.; Mardon, Graeme; Joloba, Moses; Anabwani, Gabriel; Mpoloka, Sununguko W.

2017-01-01

Purpose: The Collaborative African Genomics Network (CAfGEN) aims to establish sustainable genomics research programs in Botswana and Uganda through long-term training of PhD students from these countries at Baylor College of Medicine. Here, we present an overview of the CAfGEN PhD training program alongside trainees’ perspectives on their involvement. Background: Historically, collaborations between high-income countries (HICs) and low- and middle-income countries (LMICs), or North–South collaborations, have been criticized for the lack of a mutually beneficial distribution of resources and research findings, often undermining LMICs. CAfGEN plans to address this imbalance in the genomics field through a program of technology and expertise transfer to the participating LMICs. Methods: An overview of the training program is presented. Trainees from the CAfGEN project summarized their experiences, looking specifically at the training model, benefits of the program, challenges encountered relating to the cultural transition, and program outcomes after the first 2 years. Conclusion: Collaborative training programs like CAfGEN will not only help establish sustainable long-term research initiatives in LMICs but also foster stronger North–South and South–South networks. The CAfGEN model offers a framework for the development of training programs aimed at genomics education for those for whom genomics is not their “first language.” Genet Med advance online publication 06 April 2017 PMID:28383545

Short-Term Effects of Different Loading Schemes in Fitness-Related Resistance Training.

PubMed

Eifler, Christoph

2016-07-01

Eifler, C. Short-term effects of different loading schemes in fitness-related resistance training. J Strength Cond Res 30(7): 1880-1889, 2016-The purpose of this investigation was to analyze the short-term effects of different loading schemes in fitness-related resistance training and to identify the most effective loading method for advanced recreational athletes. The investigation was designed as a longitudinal field-test study. Two hundred healthy mature subjects with at least 12 months' experience in resistance training were randomized in 4 samples of 50 subjects each. Gender distribution was homogenous in all samples. Training effects were quantified by 10 repetition maximum (10RM) and 1 repetition maximum (1RM) testing (pre-post-test design). Over a period of 6 weeks, a standardized resistance training protocol with 3 training sessions per week was realized. Testing and training included 8 resistance training exercises in a standardized order. The following loading schemes were randomly matched to each sample: constant load (CL) with constant volume of repetitions, increasing load (IL) with decreasing volume of repetitions, decreasing load (DL) with increasing volume of repetitions, daily changing load (DCL), and volume of repetitions. For all loading schemes, significant strength gains (p < 0.001) could be noted for all resistance training exercises and both dependent variables (10RM, 1RM). In all cases, DCL obtained significantly higher strength gains (p < 0.001) than CL, IL, and DL. There were no significant differences in strength gains between CL, IL, and DL. The present data indicate that resistance training following DCL is more effective for advanced recreational athletes than CL, IL, or DL. Considering that DCL is widely unknown in fitness-related resistance training, the present data indicate, there is potential for improving resistance training in commercial fitness clubs.

[Implementation of control system and software design for limbs rehabilitation training based on PCI-1240].

PubMed

Zhu, Wenchao; Xu, Xiulin; Hu, Xiufang; An, Meijun

2017-06-01

This article presents the design of a motion control system for seated lower-limb rehabilitation training. The system is composed of lower limb exoskeleton, motor drive circuit, program of motion control, and so forth. The power of lower limbs joints is provided by six motors. The PCI-1240 motion control card is used as the core. This study achieved repetitive rotation training and gait trajectory training of lower limbs joints, of which the velocity, angle and time can be accurately controlled and adjusted. The experimental results showed that the motion control system can meet the requirement of repetitive rehabilitation training for patients with lower limb dysfunction. This article provides a new method to the research of motion control system in rehabilitation training, which can promote industrial automation technique to be used for health care, and conducive to the further study of the rehabilitation robot.

Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid Segmentation.

PubMed

Wu, Jing; Philip, Ana-Maria; Podkowinski, Dominika; Gerendas, Bianca S; Langs, Georg; Simader, Christian; Waldstein, Sebastian M; Schmidt-Erfurth, Ursula M

2016-01-01

Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. Retinal segmentation methods use datasets that either are not publicly available, come from only one device, or use different evaluation methodologies making them difficult to compare. Thus we present and evaluate a multiple expert annotated reference dataset for the problem of intraretinal cystoid fluid (IRF) segmentation, a key indicator in exudative macular disease. In addition, a standardized framework for segmentation accuracy evaluation, applicable to other pathological structures, is presented. Integral to this work is the dataset used which must be fit for purpose for IRF segmentation algorithm training and testing. We describe here a multivendor dataset comprised of 30 scans. Each OCT scan for system training has been annotated by multiple graders using a proprietary system. Evaluation of the intergrader annotations shows a good correlation, thus making the reproducibly annotated scans suitable for the training and validation of image processing and machine learning based segmentation methods. The dataset will be made publicly available in the form of a segmentation Grand Challenge.

Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid Segmentation

PubMed Central

Wu, Jing; Philip, Ana-Maria; Podkowinski, Dominika; Gerendas, Bianca S.; Langs, Georg; Simader, Christian

2016-01-01

Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. Retinal segmentation methods use datasets that either are not publicly available, come from only one device, or use different evaluation methodologies making them difficult to compare. Thus we present and evaluate a multiple expert annotated reference dataset for the problem of intraretinal cystoid fluid (IRF) segmentation, a key indicator in exudative macular disease. In addition, a standardized framework for segmentation accuracy evaluation, applicable to other pathological structures, is presented. Integral to this work is the dataset used which must be fit for purpose for IRF segmentation algorithm training and testing. We describe here a multivendor dataset comprised of 30 scans. Each OCT scan for system training has been annotated by multiple graders using a proprietary system. Evaluation of the intergrader annotations shows a good correlation, thus making the reproducibly annotated scans suitable for the training and validation of image processing and machine learning based segmentation methods. The dataset will be made publicly available in the form of a segmentation Grand Challenge. PMID:27579177

SKYNET: an efficient and robust neural network training tool for machine learning in astronomy

NASA Astrophysics Data System (ADS)

Graff, Philip; Feroz, Farhan; Hobson, Michael P.; Lasenby, Anthony

2014-06-01

We present the first public release of our generic neural network training algorithm, called SKYNET. This efficient and robust machine learning tool is able to train large and deep feed-forward neural networks, including autoencoders, for use in a wide range of supervised and unsupervised learning applications, such as regression, classification, density estimation, clustering and dimensionality reduction. SKYNET uses a `pre-training' method to obtain a set of network parameters that has empirically been shown to be close to a good solution, followed by further optimization using a regularized variant of Newton's method, where the level of regularization is determined and adjusted automatically; the latter uses second-order derivative information to improve convergence, but without the need to evaluate or store the full Hessian matrix, by using a fast approximate method to calculate Hessian-vector products. This combination of methods allows for the training of complicated networks that are difficult to optimize using standard backpropagation techniques. SKYNET employs convergence criteria that naturally prevent overfitting, and also includes a fast algorithm for estimating the accuracy of network outputs. The utility and flexibility of SKYNET are demonstrated by application to a number of toy problems, and to astronomical problems focusing on the recovery of structure from blurred and noisy images, the identification of gamma-ray bursters, and the compression and denoising of galaxy images. The SKYNET software, which is implemented in standard ANSI C and fully parallelized using MPI, is available at http://www.mrao.cam.ac.uk/software/skynet/.

Didactic training vs. computer-based self-learning in the prediction of diminutive colon polyp histology by trainees: a randomized controlled study.

PubMed

Khan, Taimur; Cinnor, Birtukan; Gupta, Neil; Hosford, Lindsay; Bansal, Ajay; Olyaee, Mojtaba S; Wani, Sachin; Rastogi, Amit

2017-12-01

Background and study aim  Experts can accurately predict diminutive polyp histology, but the ideal method to train nonexperts is not known. The aim of the study was to compare accuracy in diminutive polyp histology characterization using narrow-band imaging (NBI) between participants undergoing classroom didactic training vs. computer-based self-learning. Participants and methods  Trainees at two institutions were randomized to classroom didactic training or computer-based self-learning. In didactic training, experienced endoscopists reviewed a presentation on NBI patterns for adenomatous and hyperplastic polyps and 40 NBI videos, along with interactive discussion. The self-learning group reviewed the same presentation of 40 teaching videos independently, without interactive discussion. A total of 40 testing videos of diminutive polyps under NBI were then evaluated by both groups. Performance characteristics were calculated by comparing predicted and actual histology. Fisher's exact test was used and P  < 0.05 was considered significant. Results  A total of 17 trainees participated (8 didactic training and 9 self-learning). A larger proportion of polyps were diagnosed with high confidence in the classroom group (66.5 % vs. 50.8 %; P  < 0.01), although sensitivity (86.9 % vs. 95.0 %) and accuracy (85.7 % vs. 93.9 %) of high-confidence predictions were higher in the self-learning group. However, there was no difference in overall accuracy of histology characterization (83.4 % vs. 87.2 %; P  = 0.19). Similar results were noted when comparing sensitivity and specificity between the groups. Conclusion  The self-learning group showed results on a par with or, for high-confidence predictions, even slightly superior to classroom didactic training for predicting diminutive polyp histology. This approach can help in widespread training and clinical implementation of real-time polyp histology characterization. © Georg Thieme Verlag KG Stuttgart · New York.

First Author Research Productivity of United States Radiation Oncology Residents: 2002-2007

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

Morgan, Peter B.; Sopka, Dennis M.; Kathpal, Madeera

2009-08-01

Purpose: Participation in investigative research is a required element of radiation oncology residency in the United States. Our purpose was to quantify the first author research productivity of recent U.S. radiation oncology residents during their residency training. Methods and Materials: We performed a computer-based search of PubMed and a manual review of the proceedings of the annual meetings of the American Society for Therapeutic Radiology and Oncology to identify all publications and presented abstracts with a radiation oncology resident as the first author between 2002 and 2007. Results: Of 1,098 residents trained at 81 programs, 50% published {>=}1 article (range,more » 0-9), and 53% presented {>=}1 abstract (range, 0-3) at an American Society for Therapeutic Radiology and Oncology annual meeting. The national average was 1.01 articles published and 1.09 abstracts presented per resident during 4 years of training. Of 678 articles published, 82% represented original research and 18% were review articles. Residents contributed 15% of all abstracts at American Society for Therapeutic Radiology and Oncology annual meetings, and the resident contribution to orally presented abstracts increased from 12% to 21% during the study period. Individuals training at programs with >6 residents produced roughly twice as many articles and abstracts. Holman Research Pathway residents produced double the national average of articles and abstracts. Conclusion: Although variability exists among individuals and among training programs, U.S. radiation oncology residents routinely participate in investigative research suitable for publication or presentation at a scientific meeting. These data provide national research benchmarks that can assist current and future radiation oncology residents and training programs in their self-assessment and research planning.« less

30 CFR 250.1504 - May I use alternative training methods?

Code of Federal Regulations, 2010 CFR

2010-07-01

... must be conducted according to, and meet the objectives of, your training plan. ... 30 Mineral Resources 2 2010-07-01 2010-07-01 false May I use alternative training methods? 250... Safety Training § 250.1504 May I use alternative training methods? You may use alternative training...

Information-Technology Based Physics Education

NASA Astrophysics Data System (ADS)

Kim, J. S.; Lee, K. H.

2001-04-01

Developing countries emphasize expansion of the educated population but demand for quality improvement follows later. Current science education reform is driven in part by post cold war restructuring of the global economy and associated focus on the education of a more scientifically literate society, due to the industrial change from labor-intensive to high-technology type, and the societal change inherent in the present information era. Industry needs employees of broad and flexible background with inter disciplinary training, engineers with better physics training, and well trained physicists. Education researches have proved that active-learning based methods are superior to the traditional methods and the information technology (IT) has lot to offer in this. Use of IT for improving physics education is briefly discussed with prospects for collaboration in the Asia-Pacific region via Asian Physics Education Network (ASPEN), UNESCO University Foundation Course in Physics (UUFCP), etc.

Prototyping of cerebral vasculature physical models.

PubMed

Khan, Imad S; Kelly, Patrick D; Singer, Robert J

2014-01-01

Prototyping of cerebral vasculature models through stereolithographic methods have the ability to accurately depict the 3D structures of complicated aneurysms with high accuracy. We describe the method to manufacture such a model and review some of its uses in the context of treatment planning, research, and surgical training. We prospectively used the data from the rotational angiography of a 40-year-old female who presented with an unruptured right paraclinoid aneurysm. The 3D virtual model was then converted to a physical life-sized model. The model constructed was shown to be a very accurate depiction of the aneurysm and its associated vasculature. It was found to be useful, among other things, for surgical training and as a patient education tool. With improving and more widespread printing options, these models have the potential to become an important part of research and training modalities.

Some Practical Distinctions between Preaching, Teaching, and Training.

ERIC Educational Resources Information Center

Pestel, Beverly C.

1988-01-01

Describes some of the teaching techniques found to be effective for educating students and combatting scientific illiteracy. Presents instructional methods developed for implementing learner-oriented educational philosophies and interactive teaching strategies. (RT)

76 FR 64952 - Council on Graduate Medical Education; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-19

... demand. The meeting on November 10, 2011 will start with a presentation on teaching health centers. This... Committee to develop performance measures and methods of longitudinal evaluation of relevant training...

Improving temporal bone dissection using self-directed virtual reality simulation: results of a randomized blinded control trial.

PubMed

Zhao, Yi Chen; Kennedy, Gregor; Yukawa, Kumiko; Pyman, Brian; O'Leary, Stephen

2011-03-01

A significant benefit of virtual reality (VR) simulation is the ability to provide self-direct learning for trainees. This study aims to determine whether there are any differences in performance of cadaver temporal bone dissections between novices who received traditional teaching methods and those who received unsupervised self-directed learning in a VR temporal bone simulator. Randomized blinded control trial. Royal Victorian Eye and Ear Hospital. Twenty novice trainees. After receiving an hour lecture, participants were randomized into 2 groups to receive an additional 2 hours of training via traditional teaching methods or self-directed learning using a VR simulator with automated guidance. The simulation environment presented participants with structured training tasks, which were accompanied by real-time computer-generated feedback as well as real operative videos and photos. After the training, trainees were asked to perform a cortical mastoidectomy on a cadaveric temporal bone. The dissection was videotaped and assessed by 3 otologists blinded to participants' teaching group. The overall performance scores of the simulator-based training group were significantly higher than those of the traditional training group (67% vs 29%; P < .001), with an intraclass correlation coefficient of 0.93, indicating excellent interrater reliability. Using other assessments of performance, such as injury size, the VR simulator-based training group also performed better than the traditional group. This study indicates that self-directed learning on VR simulators can be used to improve performance on cadaver dissection in novice trainees compared with traditional teaching methods alone.

Development of a numerical model for vehicle-bridge interaction analysis of railway bridges

NASA Astrophysics Data System (ADS)

Kim, Hee Ju; Cho, Eun Sang; Ham, Jun Su; Park, Ki Tae; Kim, Tae Heon

2016-04-01

In the field of civil engineering, analyzing dynamic response was main concern for a long time. These analysis methods can be divided into moving load analysis method and moving mass analysis method, and formulating each an equation of motion has recently been studied after dividing vehicles and bridges. In this study, the numerical method is presented, which can consider the various train types and can solve the equations of motion for a vehicle-bridge interaction analysis by non-iteration procedure through formulating the coupled equations for motion. Also, 3 dimensional accurate numerical models was developed by KTX-vehicle in order to analyze dynamic response characteristics. The equations of motion for the conventional trains are derived, and the numerical models of the conventional trains are idealized by a set of linear springs and dashpots with 18 degrees of freedom. The bridge models are simplified by the 3 dimensional space frame element which is based on the Euler-Bernoulli theory. The rail irregularities of vertical and lateral directions are generated by PSD functions of the Federal Railroad Administration (FRA).

Clinical Decision-Making in Community Children's Mental Health: Using Innovative Methods to Compare Clinicians With and Without Training in Evidence-Based Treatment.

PubMed

Baker-Ericzén, Mary J; Jenkins, Melissa M; Park, Soojin; Garland, Ann F

2015-02-01

Mental health professionals' decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. The present study explored the role of prior training in evidence-based treatments on clinicians' assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog "think aloud" method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. MANOVA results were significant for EBT training status such that EBT trained clinicians' displayed cognitive processes more closely aligned with "expert" decision-makers and non-EBT trained clinicians' decision processes were more similar to "novice" decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians' decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice.

An attempt for empowering education: A qualitative study of in-service training of nursing personnel

PubMed Central

Chaghari, Mahmood; Ebadi, Abbas; Ameryoun, Ahmad; Safari, Mohsen

2016-01-01

Background: In-service training of nursing personnel has a significant role in increasing the empowerment of nurses and promotion of the quality of health services. The objective of this study is to identify and explain the process of in-service training of nursing personnel in the hospitals affiliated with Baqiyatallah University of Medical Sciences in Tehran. Materials and Methods: The present study employed a qualitative approach using Corbin and Strauss method (2008) in 2015, and examined the viewpoints and experiences of 35 nurses, nurse managers, and educational managers with the in-service education of nursing staffs. According to this method, comparisons, asking questions, flip-flop technique, depicting personal experiences, and raising red flag were used for data analysis. Results: In this study, five major themes including unsuccessful mandatory education, empowering education, organizational challenges, weakness in the educational management, and educational-job resiliency were derived from the results. Unsuccessful mandatory education was the main concern of participants and empowering education was the core category derived from this study. Conclusions: Empowering education emphasizes the practice-oriented and self-directed training. It is an applied education, is participation-oriented, facilitates job functions, and is based on exploration. PMID:27904634

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.

A prospective investigation of injury incidence and injury risk factors among army recruits in military police training

PubMed Central

2013-01-01

Background United States Army military police (MP) training is a 19-week course designed to introduce new recruits to basic soldiering skills, Army values and lifestyle, and law enforcement skills and knowledge. The present investigation examined injury rates and injury risk factors in MP training. Methods At the start of training, 1,838 male and 553 female MP recruits were administered a questionnaire containing items on date of birth, height, weight, tobacco use, prior physical activity, injury history, and menstrual history. Injuries during training were obtained from electronic medical records and the training units provided data on student graduation and attrition. Results Successfully graduating from the course were 94.3% of the men and 83.7% of the women. Experiencing at least one injury during training were 34.2% of the men and 66.7% of the women (risk ratio (women/men) = 1.95, 95% confidence interval = 1.79-2.13). Recruits were at higher injury risk if they reported that they were older, had smoked in the past, or had performed less frequent exercise or sports prior to MP training. Men were at higher injury risk if they reported a prior injury and women were at higher risk if they reported missing at least six menstrual cycles in the last year or had previously been pregnant. Conclusion The present investigation was the first to identify injury rates and identify specific factors increasing injury risk during MP training. PMID:23327563

Design considerations for a servo optical projection system

NASA Astrophysics Data System (ADS)

Nadalsky, Michael; Allen, Daniel; Bien, Joseph

1987-01-01

The present servooptical projection system (SOPS) furnishes 'out-the-window' scenery for a pilot-training flight simulator; attention is given to the parametric tradeoffs made in the SOPS' optical design, as well as to its mechanical packaging and the servonetwork performance of the unit as integrated into a research/training helicopter flight simulator. The final SOPS configuration is a function of scan head design, assembly modularity, image deterioration method, and focal lengths and relative apertures.

TRAINING FOR NEW TRENDS IN CLUBS AND CENTERS FOR OLDER PERSONS, PROCEEDINGS OF A SEMINAR (ITHACA COLLEGE, ITHACA, NEW YORK, JUNE 23-25, 1966).

ERIC Educational Resources Information Center

RABE, HENRIETTA F.

THIS ADVANCED TRAINING SEMINAR WAS DESIGNED FOR STAFF MEMBERS OF SENIOR CITIZEN PROGRAMS THROUGHOUT NEW YORK STATE. POSITION PAPERS WERE PRESENTED ON THE SOCIAL FUTURE OF THE AGING AND ON EFFECTIVE MEANS OF SERVING THE INDIVIDUAL. WORKSHOP DISCUSSIONS WERE HELD ON WAYS TO ACHIEVE A NEW SOCIAL ROLE FOR THE ELDERLY, THE GROUP METHOD IN CLUBS AND…

What Values, Whose Perspective in Social and Emotional Training? A Study on How Ethical Approaches and Values May Be Handled Analytically in Education and Educational Research

ERIC Educational Resources Information Center

Aldenmyr, Sara Irisdotter

2016-01-01

This present article takes an interest in the fairly new phenomena of social and emotional training programs in youth education. Prior research has shown that values and norms produced in these types of programs are supporting ethical systems that teachers may not always be aware of. This motivates the development of methods for analyzing these…

Review of Instructional Approaches in Ethics Education.

PubMed

Mulhearn, Tyler J; Steele, Logan M; Watts, Logan L; Medeiros, Kelsey E; Mumford, Michael D; Connelly, Shane

2017-06-01

Increased investment in ethics education has prompted a variety of instructional objectives and frameworks. Yet, no systematic procedure to classify these varying instructional approaches has been attempted. In the present study, a quantitative clustering procedure was conducted to derive a typology of instruction in ethics education. In total, 330 ethics training programs were included in the cluster analysis. The training programs were appraised with respect to four instructional categories including instructional content, processes, delivery methods, and activities. Eight instructional approaches were identified through this clustering procedure, and these instructional approaches showed different levels of effectiveness. Instructional effectiveness was assessed based on one of nine commonly used ethics criteria. With respect to specific training types, Professional Decision Processes Training (d = 0.50) and Field-Specific Compliance Training (d = 0.46) appear to be viable approaches to ethics training based on Cohen's d effect size estimates. By contrast, two commonly used approaches, General Discussion Training (d = 0.31) and Norm Adherence Training (d = 0.37), were found to be considerably less effective. The implications for instruction in ethics training are discussed.

The Relative Effectiveness of Training Methods for Attaining Training Objectives: Current Opinion of Training Practitioners.

ERIC Educational Resources Information Center

Shoenfelt, Elizabeth L.; And Others

This study replicated the earlier survey efforts of Carroll, Paine, and Ivancevich (1972) and Neider (1981) on the relative effectiveness among practitioners of various training methods for attaining different training objectives. Ten training methods were assessed: (1) computer aided instruction (CAI); (2) programmed instruction; (3) lecture…

Estimating Temporal Causal Interaction between Spike Trains with Permutation and Transfer Entropy

PubMed Central

Li, Zhaohui; Li, Xiaoli

2013-01-01

Estimating the causal interaction between neurons is very important for better understanding the functional connectivity in neuronal networks. We propose a method called normalized permutation transfer entropy (NPTE) to evaluate the temporal causal interaction between spike trains, which quantifies the fraction of ordinal information in a neuron that has presented in another one. The performance of this method is evaluated with the spike trains generated by an Izhikevich’s neuronal model. Results show that the NPTE method can effectively estimate the causal interaction between two neurons without influence of data length. Considering both the precision of time delay estimated and the robustness of information flow estimated against neuronal firing rate, the NPTE method is superior to other information theoretic method including normalized transfer entropy, symbolic transfer entropy and permutation conditional mutual information. To test the performance of NPTE on analyzing simulated biophysically realistic synapses, an Izhikevich’s cortical network that based on the neuronal model is employed. It is found that the NPTE method is able to characterize mutual interactions and identify spurious causality in a network of three neurons exactly. We conclude that the proposed method can obtain more reliable comparison of interactions between different pairs of neurons and is a promising tool to uncover more details on the neural coding. PMID:23940662

Multi-channel non-invasive fetal electrocardiography detection using wavelet decomposition

NASA Astrophysics Data System (ADS)

Almeida, Javier; Ruano, Josué; Corredor, Germán.; Romo-Bucheli, David; Navarro-Vargas, José Ricardo; Romero, Eduardo

2017-11-01

Non-invasive fetal electrocardiography (fECG) has attracted the medical community because of the importance of fetal monitoring. However, its implementation in clinical practice is challenging: the fetal signal has a low Signal- to-Noise-Ratio and several signal sources are present in the maternal abdominal electrocardiography (AECG). This paper presents a novel method to detect the fetal signal from a multi-channel maternal AECG. The method begins by applying filters and signal detrending the AECG signals. Afterwards, the maternal QRS complexes are identified and subtracted. The residual signals are used to detect the fetal QRS complex. Intervals of these signals are analyzed by using a wavelet decomposition. The resulting representation feds a previously trained Random Forest (RF) classifier that identifies signal intervals associated to fetal QRS complex. The method was evaluated on a public available dataset: the Physionet2013 challenge. A set of 50 maternal AECG records were used to train the RF classifier. The evaluation was carried out in signals intervals extracted from additional 25 maternal AECG. The proposed method yielded an 83:77% accuracy in the fetal QRS complex classification task.

Non-native Speech Perception Training Using Vowel Subsets: Effects of Vowels in Sets and Order of Training

PubMed Central

Nishi, Kanae; Kewley-Port, Diane

2008-01-01

Purpose Nishi and Kewley-Port (2007) trained Japanese listeners to perceive nine American English monophthongs and showed that a protocol using all nine vowels (fullset) produced better results than the one using only the three more difficult vowels (subset). The present study extended the target population to Koreans and examined whether protocols combining the two stimulus sets would provide more effective training. Method Three groups of five Korean listeners were trained on American English vowels for nine days using one of the three protocols: fullset only, first three days on subset then six days on fullset, or first six days on fullset then three days on subset. Participants' performance was assessed by pre- and post-training tests, as well as by a mid-training test. Results 1) Fullset training was also effective for Koreans; 2) no advantage was found for the two combined protocols over the fullset only protocol, and 3) sustained “non-improvement” was observed for training using one of the combined protocols. Conclusions In using subsets for training American English vowels, care should be taken not only in the selection of subset vowels, but also for the training orders of subsets. PMID:18664694

Developing soft skill training for salespersons to increase total sales

NASA Astrophysics Data System (ADS)

Mardatillah, A.; Budiman, I.; Tarigan, U. P. P.; Sembiring, A. C.; Hendi

2018-04-01

This research was conducted in the multilevel marketing industry. Unprofessional salespersons behavior and responsibility can ruin the image of the multilevel marketing industry and distrust to the multilevel marketing industry. This leads to decreased company revenue due to lack of public interest in multilevel marketing products. Seeing these conditions, researcher develop training programs to improve the competence of salespersons in making sales. It was done by looking at factors that affect the level of salespersons sales. The research analyzes several factors that influence the salesperson’s sales level: presentation skills, questioning ability, adaptability, technical knowledge, self-control, interaction involvement, sales environment, and intrapersonal skills. Through the analysis of these factors with One Sample T-Test and Multiple Linear Regression methods, researchers design a training program for salespersons to increase their sales. The developed training for salespersons is basic training and special training and before training was given, salespersons need to be assessed for the effectivity and efficiency reasons.

Improving everyday prospective memory performance in older adults: comparing cognitive process and strategy training.

PubMed

Brom, Sarah Susanne; Kliegel, Matthias

2014-09-01

Considering the importance of prospective memory for independence in old age recently, research has started to examine interventions to reduce prospective memory errors. Two general approaches can be proposed: (a) process training of executive control associated with prospective memory functioning, and/or (b) strategy training to reduce executive task demands. The present study was the first to combine and compare both training methods in a sample of 62 community-dwelling older adults (60-86 years) and to explore their effects on an ecologically valid everyday life prospective memory task (here: regular blood pressure monitoring). Even though the training of executive control was successful in enhancing the trained ability, clear transfer effects on prospective memory performance could only be found for the strategy training. However, participants with low executive abilities benefited particularly from the implementation intention strategy. Conceptually, this supports models suggesting interactions between task demands and individual differences in executive control in explaining individual differences in prospective memory performance. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Training children's theory-of-mind: A meta-analysis of controlled studies

PubMed Central

Hofmann, Stefan; Doan, Stacey N.; Sprung, Manuel; Wilson, Anne; Ebesutani, Chad; Andrews, Leigh; Curtiss, Joshua; Harris, Paul L.

2016-01-01

Background Theory-of-mind (ToM) refers to knowledge and awareness of mental states in oneself and others. Various training programs have been developed to improve ToM in children. Objectives In the present study, we conducted a quantitative review of ToM training programs that have been tested in controlled studies. DATA SOURCES: A literature search was conducted using PubMed, PsycInfo, the Cochrane Library, and manual searches. Review Methods We identified 32 papers with 45 studies or experiments that included1529 children with an average age of 63 months (SD= 28.7). Results ToM training procedures were more effective than control procedures and their aggregate effect size was moderately strong (Hedges'g = 0.75, CI = 0.60 - 0.894, p<.001). Moderator analyses revealed that although ToM training programs were generally effective, ToM skill-related outcomes increased with length of training sessions and were significantly higher in active control studies. Conclusion ToM training procedures can effectively enhance ToM in children. PMID:26901235

[Training of medical practitioners of Russian Federation for dealing with dangerous infections in Stavropol Institute for plague control and for working under the conditions of the emergency situation].

PubMed

Efremenko, V I; Kal'noĭ, S M; Shvetsova, N M; Bogdanov, I K; Grizhebovskiĭ, G M; Briukhanova, G D; Onatskaia, T G

2001-01-01

There are no doubts at present concerning the necessity of training medical practitioners in Russia for dealing with specially dangerous infections and for work under the conditions of emergency situations. From the day this institute was founded the training of the corresponding personnel was started: first physicians, then biologists and other specialists, including medical assistants and technicians. Additional programs for training specialists were developed, the State License for conducting the course of special post-diploma training was obtained. Research works on improving the methods of the indication and rapid diagnostics of the causative agents of dangerous infections, reflected in training programs for specialists and practically used in the process of the realization of antiepidemic measures in the zones of emergency situations, were carried out. In training the students the experience of the work of the institute on ensuring the epidemiological safety of the population under the conditions of different emergency situations was taken into consideration.

Nursing Competency: Definition, Structure and Development

PubMed Central

Fukada, Mika

2018-01-01

Nursing competency includes core abilities that are required for fulfilling one’s role as a nurse. Therefore, it is important to clearly define nursing competency to establish a foundation for nursing education curriculum. However, while the concepts surrounding nursing competency are important for improving nursing quality, they are still not yet completely developed. Thus, challenges remain in establishing definitions and structures for nursing competency, competency levels necessary for nursing professionals, training methods and so on. In the present study, we reviewed the research on definitions and attributes of nursing competency in Japan as well as competency structure, its elements and evaluation. Furthermore, we investigated training methods to teach nursing competency. PMID:29599616

Nursing Competency: Definition, Structure and Development.

PubMed

Fukada, Mika

2018-03-01

Nursing competency includes core abilities that are required for fulfilling one's role as a nurse. Therefore, it is important to clearly define nursing competency to establish a foundation for nursing education curriculum. However, while the concepts surrounding nursing competency are important for improving nursing quality, they are still not yet completely developed. Thus, challenges remain in establishing definitions and structures for nursing competency, competency levels necessary for nursing professionals, training methods and so on. In the present study, we reviewed the research on definitions and attributes of nursing competency in Japan as well as competency structure, its elements and evaluation. Furthermore, we investigated training methods to teach nursing competency.

[The results of self-irrigation in colostomy patients who have undergone a process of systematic training].

PubMed

Santos, V L; Koizumi, M S

1992-12-01

The present study comprises the results of the use of self-irrigation by 40 colostomized patients, trained by us through a process of systematized training. The effectiveness of the training process can be checked out considering that the most part of the patients have adopted it in its basic features, pointing out a few number of technical difficulties. As to the results of self-irrigation, as a method for controlling the intestinal habit, we can say that 37.50% of the population showed an absence of fecal leakages and 42.50%, sporadic leakages between the irrigations; 27.50% and 35.00%, with absence of gases in the intervals of time and partial use of the collecting pouch, respectively.

[Auditory training in workshops: group therapy option].

PubMed

Santos, Juliana Nunes; do Couto, Isabel Cristina Plais; Amorim, Raquel Martins da Costa

2006-01-01

auditory training in groups. to verify in a group of individuals with mental retardation the efficacy of auditory training in a workshop environment. METHOD a longitudinal prospective study with 13 mentally retarded individuals from the Associação de Pais e Amigos do Excepcional (APAE) of Congonhas divided in two groups: case (n=5) and control (n=8) and who were submitted to ten auditory training sessions after verifying the integrity of the peripheral auditory system through evoked otoacoustic emissions. Participants were evaluated using a specific protocol concerning the auditory abilities (sound localization, auditory identification, memory, sequencing, auditory discrimination and auditory comprehension) at the beginning and at the end of the project. Data (entering, processing and analyses) were analyzed by the Epi Info 6.04 software. the groups did not differ regarding aspects of age (mean = 23.6 years) and gender (40% male). In the first evaluation both groups presented similar performances. In the final evaluation an improvement in the auditory abilities was observed for the individuals in the case group. When comparing the mean number of correct answers obtained by both groups in the first and final evaluations, a statistically significant result was obtained for sound localization (p=0.02), auditory sequencing (p=0.006) and auditory discrimination (p=0.03). group auditory training demonstrated to be effective in individuals with mental retardation, observing an improvement in the auditory abilities. More studies, with a larger number of participants, are necessary in order to confirm the findings of the present research. These results will help public health professionals to reanalyze the theory models used for therapy, so that they can use specific methods according to individual needs, such as auditory training workshops.

Identification and classification of transient pulses observed in magnetometer array data by time-domain principal component analysis filtering

NASA Astrophysics Data System (ADS)

Kappler, Karl N.; Schneider, Daniel D.; MacLean, Laura S.; Bleier, Thomas E.

2017-08-01

A method for identification of pulsations in time series of magnetic field data which are simultaneously present in multiple channels of data at one or more sensor locations is described. Candidate pulsations of interest are first identified in geomagnetic time series by inspection. Time series of these "training events" are represented in matrix form and transpose-multiplied to generate time-domain covariance matrices. The ranked eigenvectors of this matrix are stored as a feature of the pulsation. In the second stage of the algorithm, a sliding window (approximately the width of the training event) is moved across the vector-valued time-series comprising the channels on which the training event was observed. At each window position, the data covariance matrix and associated eigenvectors are calculated. We compare the orientation of the dominant eigenvectors of the training data to those from the windowed data and flag windows where the dominant eigenvectors directions are similar. This was successful in automatically identifying pulses which share polarization and appear to be from the same source process. We apply the method to a case study of continuously sampled (50 Hz) data from six observatories, each equipped with three-component induction coil magnetometers. We examine a 90-day interval of data associated with a cluster of four observatories located within 50 km of Napa, California, together with two remote reference stations-one 100 km to the north of the cluster and the other 350 km south. When the training data contains signals present in the remote reference observatories, we are reliably able to identify and extract global geomagnetic signals such as solar-generated noise. When training data contains pulsations only observed in the cluster of local observatories, we identify several types of non-plane wave signals having similar polarization.

Simulation-based education for building clinical teams

PubMed Central

Marshall, Stuart D; Flanagan, Brendan

2010-01-01

Failure to work as an effective team is commonly cited as a cause of adverse events and errors in emergency medicine. Until recently, individual knowledge and skills in managing emergencies were taught, without reference to the additional skills required to work as part of a team. Team training courses are now becoming commonplace, however their strategies and modes of delivery are varied. Just as different delivery methods of traditional education can result in different levels of retention and transfer to the real world, the same is true in team training of the material in different ways in traditional forms of education may lead to different levels of retention and transfer to the real world, the same is true in team training. As team training becomes more widespread, the effectiveness of different modes of delivery including the role of simulation-based education needs to be clearly understood. This review examines the basis of team working in emergency medicine, and the components of an effective emergency medical team. Lessons from other domains with more experience in team training are discussed, as well as the variations from these settings that can be observed in medical contexts. Methods and strategies for team training are listed, and experiences in other health care settings as well as emergency medicine are assessed. Finally, best practice guidelines for the development of team training programs in emergency medicine are presented. PMID:21063559

Learning how to rate video-recorded therapy sessions: a practical guide for trainees and advanced clinicians.

PubMed

McCullough, Leigh; Bhatia, Maneet; Ulvenes, Pal; Berggraf, Lene; Osborn, Kristin

2011-06-01

Watching and rating psychotherapy sessions is an important yet often overlooked component of psychotherapy training. This article provides a simple and straightforward guide for using one Website (www.ATOStrainer.com) that provides an automated training protocol for rating of psychotherapy sessions. By the end of the article, readers will be able to have the knowledge to go to the Website and begin using this training method as soon as they have a recorded session to view. This article presents, (a) an overview of the Achievement of Therapeutic Objectives Scale (ATOS; McCullough et al., 2003a), a research tool used to rate psychotherapy sessions; (b) a description of APA training tapes, available for purchase from APA Books, that have been rated and scored by ATOS trained clinicians and posted on the Website; (c) step-by-step procedures on how ratings can be done; (d) an introduction to www.ATOStrainer.com where ratings can be entered and compared with expert ratings; and (e) first-hand personal experiences of the authors using this training method and the benefits it affords both trainees and experienced therapists. This psychotherapy training Website has the potential to be a key resource tool for graduate students, researchers, and clinicians. Our long-range goal is to promote the growth of our understanding of psychotherapy and to improve the quality of psychotherapy provided for patients.

State and Training Effects of Mindfulness Meditation on Brain Networks Reflect Neuronal Mechanisms of Its Antidepressant Effect.

PubMed

Yang, Chuan-Chih; Barrós-Loscertales, Alfonso; Pinazo, Daniel; Ventura-Campos, Noelia; Borchardt, Viola; Bustamante, Juan-Carlos; Rodríguez-Pujadas, Aina; Fuentes-Claramonte, Paola; Balaguer, Raúl; Ávila, César; Walter, Martin

2016-01-01

The topic of investigating how mindfulness meditation training can have antidepressant effects via plastic changes in both resting state and meditation state brain activity is important in the rapidly emerging field of neuroplasticity. In the present study, we used a longitudinal design investigating resting state fMRI both before and after 40 days of meditation training in 13 novices. After training, we compared differences in network connectivity between rest and meditation using common resting state functional connectivity methods. Interregional methods were paired with local measures such as Regional Homogeneity. As expected, significant differences in functional connectivity both between states (rest versus meditation) and between time points (before versus after training) were observed. During meditation, the internal consistency in the precuneus and the temporoparietal junction increased, while the internal consistency of frontal brain regions decreased. A follow-up analysis of regional connectivity of the dorsal anterior cingulate cortex further revealed reduced connectivity with anterior insula during meditation. After meditation training, reduced resting state functional connectivity between the pregenual anterior cingulate and dorsal medical prefrontal cortex was observed. Most importantly, significantly reduced depression/anxiety scores were observed after training. Hence, these findings suggest that mindfulness meditation might be of therapeutic use by inducing plasticity related network changes altering the neuronal basis of affective disorders such as depression.

State and Training Effects of Mindfulness Meditation on Brain Networks Reflect Neuronal Mechanisms of Its Antidepressant Effect

PubMed Central

Yang, Chuan-Chih; Barrós-Loscertales, Alfonso; Pinazo, Daniel; Ventura-Campos, Noelia; Borchardt, Viola; Bustamante, Juan-Carlos; Rodríguez-Pujadas, Aina; Fuentes-Claramonte, Paola; Balaguer, Raúl; Ávila, César; Walter, Martin

2016-01-01

The topic of investigating how mindfulness meditation training can have antidepressant effects via plastic changes in both resting state and meditation state brain activity is important in the rapidly emerging field of neuroplasticity. In the present study, we used a longitudinal design investigating resting state fMRI both before and after 40 days of meditation training in 13 novices. After training, we compared differences in network connectivity between rest and meditation using common resting state functional connectivity methods. Interregional methods were paired with local measures such as Regional Homogeneity. As expected, significant differences in functional connectivity both between states (rest versus meditation) and between time points (before versus after training) were observed. During meditation, the internal consistency in the precuneus and the temporoparietal junction increased, while the internal consistency of frontal brain regions decreased. A follow-up analysis of regional connectivity of the dorsal anterior cingulate cortex further revealed reduced connectivity with anterior insula during meditation. After meditation training, reduced resting state functional connectivity between the pregenual anterior cingulate and dorsal medical prefrontal cortex was observed. Most importantly, significantly reduced depression/anxiety scores were observed after training. Hence, these findings suggest that mindfulness meditation might be of therapeutic use by inducing plasticity related network changes altering the neuronal basis of affective disorders such as depression. PMID:26998365

Dynamic analysis of flexible gear trains/transmissions - An automated approach

NASA Technical Reports Server (NTRS)

Amirouche, F. M. L.; Shareef, N. H.; Xie, M.

1992-01-01

In this paper an automated algorithmic method is presented for the dynamic analysis of geared trains/transmissions. These are treated as a system of interconnected flexible bodies. The procedure developed explains the switching of constraints with time as a result of the change in the contacting areas at the gear teeth. The elastic behavior of the system is studied through the employment of three-dimensional isoparametric elements having six degrees-of-freedom at each node. The contact between the bodies is assumed at the various nodes, which could be either a line or a plane. The kinematical expressions, together with the equations of motion using Kane's method, strain energy concepts, are presented in a matrix form suitable for computer implementation. The constraint Jacobian matrices are generated automatically based on the contact information between the bodies. The concepts of the relative velocity at the contacting points at the tooth pairs and the subsequent use of the transmission ratios in the analysis is presented.

Development and evaluation of training resources to prepare health professionals for counselling pregnant women about non-invasive prenatal testing for Down syndrome: a mixed methods study.

PubMed

Oxenford, Kerry; Daley, Rebecca; Lewis, Celine; Hill, Melissa; Chitty, Lyn S

2017-04-27

The availability of non-invasive prenatal testing (NIPT) for aneuploidies is expanding rapidly throughout the world. Training health professionals to offer NIPT in a way that supports informed choice is essential for implementation. The aim of this study was to develop and evaluate a training package for health professionals to support the introduction of NIPT into clinical practice. Training on NIPT was offered to health professionals, primarily midwives, involved in Down syndrome screening and testing in eight hospitals located in England and Scotland as part of a research study evaluating the implementation of NIPT in the UK National Health Service. Training was evaluated using a mixed methods approach that included quantitative questionnaires at three time points and post-training qualitative interviews. The questionnaires measured confidence, self-perceived knowledge and actual knowledge about NIPT for Down syndrome. Interviews explored opinions about the training and experiences of offering NIPT. The training provided to the health professionals was found to positively impact on their confidence in discussing NIPT with women in their clinic, and both their perceived and actual knowledge and understanding of NIPT was improved. Knowledge remained weak in four areas; cell-free fetal DNA levels increase with gestation; turnaround time for NIPT results; cell-free fetal DNA is placental in origin; and NIPT false positive rate. Training materials, including a lesson plan, PowerPoint presentation and written factsheet on NIPT, have been developed and evaluated for use in educating midwives and supporting the introduction of NIPT. Implementation of training should include a greater focus on the areas where knowledge remained low. Some groups of midwives will need additional training or support to optimise their confidence in discussing NIPT with women.

Review of Modelling Techniques for In Vivo Muscle Force Estimation in the Lower Extremities during Strength Training

PubMed Central

Schellenberg, Florian; Oberhofer, Katja; Taylor, William R.

2015-01-01

Background. Knowledge of the musculoskeletal loading conditions during strength training is essential for performance monitoring, injury prevention, rehabilitation, and training design. However, measuring muscle forces during exercise performance as a primary determinant of training efficacy and safety has remained challenging. Methods. In this paper we review existing computational techniques to determine muscle forces in the lower limbs during strength exercises in vivo and discuss their potential for uptake into sports training and rehabilitation. Results. Muscle forces during exercise performance have almost exclusively been analysed using so-called forward dynamics simulations, inverse dynamics techniques, or alternative methods. Musculoskeletal models based on forward dynamics analyses have led to considerable new insights into muscular coordination, strength, and power during dynamic ballistic movement activities, resulting in, for example, improved techniques for optimal performance of the squat jump, while quasi-static inverse dynamics optimisation and EMG-driven modelling have helped to provide an understanding of low-speed exercises. Conclusion. The present review introduces the different computational techniques and outlines their advantages and disadvantages for the informed usage by nonexperts. With sufficient validation and widespread application, muscle force calculations during strength exercises in vivo are expected to provide biomechanically based evidence for clinicians and therapists to evaluate and improve training guidelines. PMID:26417378

PRESENT STATUS OF PUBLIC HEALTH ADMINISTRATION

PubMed Central

Dowling, Oscar

1919-01-01

That public health administration is really a business is the message of Dr. Dowling. It will not be successful without business methods. These must include well-trained, full-time health officers and adequate appropriations. PMID:18010074

The Temporal Effect of Training Utility Perceptions on Adopting a Trained Method: The Role of Perceived Organizational Support

ERIC Educational Resources Information Center

Madera, Juan M.; Steele, Stacey T.; Beier, Margaret

2011-01-01

The current study examined the temporal effect of perceived training utility on adoption of a trained method and how perceived organizational support influences the relationship between perceived training utility perceptions and adoption of a trained method. With the use of a correlational-survey-based design, this longitudinal study required…

Basics of Biosafety

NASA Technical Reports Server (NTRS)

Wong, Willy

2009-01-01

This slide presentation reviews the basics of biosafety and the importance of assuring proper biosafety practices. The objectives of the presentation are to review regulations about biosafety, and the different biosafety levels; the biosafety facilities at Johnson Space Center; the usage and maintenance of the biosafety cabinet, the proper methods to handle biologically hazardous materials upon exposure, and the methods of cleanup in the event of a spill, and the training requirements that are mandated for personnel handling biologically hazardous materials.

Industrial Hygiene Issues

NASA Technical Reports Server (NTRS)

Brisbin, Steven G.

1999-01-01

This breakout session is a traditional conference instrument used by the NASA industrial hygiene personnel as a method to convene personnel across the Agency with common interests. This particular session focused on two key topics, training systems and automation of industrial hygiene data. During the FY 98 NASA Occupational Health Benchmarking study, the training system under development by the U.S. Environmental Protection Agency (EPA) was deemed to represent a "best business practice." The EPA has invested extensively in the development of computer based training covering a broad range of safety, health and environmental topics. Currently, five compact disks have been developed covering the topics listed: Safety, Health and Environmental Management Training for Field Inspection Activities; EPA Basic Radiation Training Safety Course; The OSHA 600 Collateral Duty Safety and Health Course; and Key program topics in environmental compliance, health and safety. Mr. Chris Johnson presented an overview of the EPA compact disk-based training system and answered questions on its deployment and use across the EPA. This training system has also recently been broadly distributed across other Federal Agencies. The EPA training system is considered "public domain" and, as such, is available to NASA at no cost in its current form. Copies of the five CD set of training programs were distributed to each NASA Center represented in the breakout session. Mr. Brisbin requested that each NASA Center review the training materials and determine whether there is interest in using the materials as it is or requesting that EPA tailor the training modules to suit NASA's training program needs. The Safety, Health and Medical Services organization at Ames Research Center has completed automation of several key program areas. Mr. Patrick Hogan, Safety Program Manager for Ames Research Center, presented a demonstration of the automated systems, which are described by the following: (1) Safety, Health and Environmental Training. This system includes an assessment of training needs for every NASA Center organization, course descriptions, schedules and automated course scheduling, and presentation of training program metrics; (2) Safety and Health Inspection Information. This system documents the findings from each facility inspection, tracks abatement status on those findings and presents metrics on each department for senior management review; (3) Safety Performance Evaluation Profile. The survey system used by NASA to evaluate employee and supervisory perceptions of safety programs is automated in this system; and (4) Documentation Tracking System. Electronic archive and retrieval of all correspondence and technical reports generated by the Safety, Health and Medical Services Office are provided by this system.

Numerical solution of the nonlinear Schrodinger equation by feedforward neural networks

NASA Astrophysics Data System (ADS)

Shirvany, Yazdan; Hayati, Mohsen; Moradian, Rostam

2008-12-01

We present a method to solve boundary value problems using artificial neural networks (ANN). A trial solution of the differential equation is written as a feed-forward neural network containing adjustable parameters (the weights and biases). From the differential equation and its boundary conditions we prepare the energy function which is used in the back-propagation method with momentum term to update the network parameters. We improved energy function of ANN which is derived from Schrodinger equation and the boundary conditions. With this improvement of energy function we can use unsupervised training method in the ANN for solving the equation. Unsupervised training aims to minimize a non-negative energy function. We used the ANN method to solve Schrodinger equation for few quantum systems. Eigenfunctions and energy eigenvalues are calculated. Our numerical results are in agreement with their corresponding analytical solution and show the efficiency of ANN method for solving eigenvalue problems.

Trial and Evaluation of Assertion Training Involving Nursing Students

PubMed Central

Nishina, Yuko; Tanigaki, Shizuko

2013-01-01

Background The concept of assertion and conceptual/practical methods of assertion (assertiveness) training were originally developed in the United States and Europe. These principles were embraced and adapted in Japan in 1970’s. However, only a few studies relating to assertion (assertiveness) have been undertaken thus far in Japan, especially so in the domain of nursing students in comparison with other countries. The purpose of this study was to design and implement assertion training with nursing students and to clarify its effects. Methods The participants were all volunteers, invited from a class of 3rd year nursing students. Ten students (intervention group) participated in the assertion training comprised of five sessions in February 2006. Fifty-six students (control group) were participated only in the questionnaire. Both groups were asked to complete the same questionnaire twice, before and after the assertion training. The questionnaire measured levels of assertiveness, social skills, self-esteem, social support and satisfaction with university life. The results and variances, both before and after assertion training, between the intervention group and the control group were analyzed. The effectiveness of the assertion training was determined by changes in pre and post training questionnaire scores. Results The scores for social skills in the control group had a tendency to decline while the scores for social skills in the intervention group remained constant. Conclusion Although there were no statistically significant results in the intervention group, the present study highlights areas appropriate for further study. PMID:24174705

Using reinforcement-based methods to enhance membership recruitment in a volunteer organization.

PubMed Central

Herndon, E J; Mikulas, W L

1996-01-01

The present study employed reinforcement-based methods to induce existing members to recruit new members to join a chamber of commerce. Three interventions took place during June and July of 3 successive years. The investigators trained chamber leaders to use reinforcement methods (e.g., contingent tokens) to reinforce recruitment and dues collections. All three interventions produced substantial increases in their targets. PMID:8995839

Using reinforcement-based methods to enhance membership recruitment in a volunteer organization.

PubMed

Herndon, E J; Mikulas, W L

1996-01-01

The present study employed reinforcement-based methods to induce existing members to recruit new members to join a chamber of commerce. Three interventions took place during June and July of 3 successive years. The investigators trained chamber leaders to use reinforcement methods (e.g., contingent tokens) to reinforce recruitment and dues collections. All three interventions produced substantial increases in their targets.

Raising the Bar in Freshman Science Education: Student Lectures, Scientific Papers, and Independent Experiments

ERIC Educational Resources Information Center

Collins, Eva-Maria S.; Calhoun, Tessa R.

2014-01-01

This article presents the combination of three enhanced educational approaches for training future scientists. These methods incorporate skills generally not introduced in the freshman year: student-led blackboard introductions; the writing of scientific papers; and the design, execution, and presentation of an independent lab module. We tested…

Using Behavioural Skills Training to Treat Aggression in Adults with Mild Intellectual Disability in a Forensic Setting

ERIC Educational Resources Information Center

Travis, Robert W.; Sturmey, Peter

2013-01-01

Background: Previous studies of anger management in people with intellectual disability failed to control for the effects of the number of provocative stimuli presented and lacked direct measures of behaviour and treatment integrity data. Methods: This experiment systematically assessed and presented discriminative stimuli for aggressive…

Virtues-Based Advice for Beginning Medical Students

ERIC Educational Resources Information Center

Coverdale, John H.

2007-01-01

Objective: The goals of this article are to present a framework, based on John Gregory's (1724-1773) concept of professionalism, for advising beginning medical students about what is important to training and to the practice of medicine. Method: The author presents Gregory's concept of professionalism with an emphasis on the related virtues.…

Selection of Hidden Layer Neurons and Best Training Method for FFNN in Application of Long Term Load Forecasting

NASA Astrophysics Data System (ADS)

Singh, Navneet K.; Singh, Asheesh K.; Tripathy, Manoj

2012-05-01

For power industries electricity load forecast plays an important role for real-time control, security, optimal unit commitment, economic scheduling, maintenance, energy management, and plant structure planning etc. A new technique for long term load forecasting (LTLF) using optimized feed forward artificial neural network (FFNN) architecture is presented in this paper, which selects optimal number of neurons in the hidden layer as well as the best training method for the case study. The prediction performance of proposed technique is evaluated using mean absolute percentage error (MAPE) of Thailand private electricity consumption and forecasted data. The results obtained are compared with the results of classical auto-regressive (AR) and moving average (MA) methods. It is, in general, observed that the proposed method is prediction wise more accurate.

Education of natural science in the work of the Municipal Center for Extracurricular Activities

NASA Astrophysics Data System (ADS)

Jokin, I.

2012-04-01

In the description of my work I presented my own experience in the organizing and carrying out of extracurricular activities with the students, the used modes and methods of work, the obtained results and some good practices in the field of natural sciences. Organizing and carrying out of scientific festivals, participation in joint projects together with scientific organizations. Key words: European dimension, interactive methods, key competences, natural sciences, extracurricular activities. We are witnesses of a fundamental change in the pedagogical culture and practice in our schools to establish the parameters of the quality of training. The good scientific culture is an important part of the students' education. Unfortunately, at the present time the scientific and technological culture is on a low level. One of the contemporary problems and realities of the education in natural science school subjects, as a whole and in particular in the secondary education, is the decreased interest for the training in them and in particular in physics, as well as synchronization of the interrelations: school environment - society. In many countries there is a drop in the orientation of the students towards the science and technology - the problem of Science and Technology (S&T). The training of the young people often creates some problems. The teachers meet with the problem of insufficient motivation of the learners for study and difficulties that they encounter in the process of training. The students find it difficult to apply the mastered knowledge to an applied context. The knowledge is rather academic and rather remote from the context, in which the children live and communicate, which makes it nonfunctional. At present there are not enough extracurricular activities that should meet these necessities of the Bulgarian school. The reasons are various, but they mainly consist in the lack of a material base, an exchange of experience and good practices and motivation. The necessity for key competences to improve their educational achievements is a part of the strategies of the European Union for spiritual growth, professional realization and sustainable development. The basic knowledge in the field of natural sciences and technologies is one of the eight equally important key competences presented in the European Reference Framework adopted in 2006 by the European Parliament and the Council of Europe. The educative work through extracurricular activities provides an opportunity to acquire these skills and so to achieve the inter-subject standards in education. The used methods and modes of work are active with regard to the realized activities: project training (method of J. Dewey), working groups, round tables, role games, learning and upbringing through cooperation (method of Kegan).

SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method

PubMed Central

Bernal, Javier; Torres-Jimenez, Jose

2015-01-01

SAGRAD (Simulated Annealing GRADient), a Fortran 77 program for computing neural networks for classification using batch learning, is discussed. Neural network training in SAGRAD is based on a combination of simulated annealing and Møller’s scaled conjugate gradient algorithm, the latter a variation of the traditional conjugate gradient method, better suited for the nonquadratic nature of neural networks. Different aspects of the implementation of the training process in SAGRAD are discussed, such as the efficient computation of gradients and multiplication of vectors by Hessian matrices that are required by Møller’s algorithm; the (re)initialization of weights with simulated annealing required to (re)start Møller’s algorithm the first time and each time thereafter that it shows insufficient progress in reaching a possibly local minimum; and the use of simulated annealing when Møller’s algorithm, after possibly making considerable progress, becomes stuck at a local minimum or flat area of weight space. Outlines of the scaled conjugate gradient algorithm, the simulated annealing procedure and the training process used in SAGRAD are presented together with results from running SAGRAD on two examples of training data. PMID:26958442

Ergonomic analysis of work activity for the purpose of developing training programs: the contribution of ergonomics to vocational didactics.

PubMed

Ouellet, Sylvie

2012-01-01

Questions related to job skills and the teaching situations that best promote skill development are investigated by specialists in various fields, notably among them, ergonomists. This paper presents the findings of an ergonomic intervention study whose aim was to develop a meat-deboning training program by taking into account both the training content to be constructed and the working conditions that might facilitate or hinder skill development. One-on-one interviews and group discussions, on-the-job and videotape playback observations, as well as self-confrontation interviews were carried out. Activity analysis revealed major variability in work methods. The reasoning behind the experienced workers' actions and the experiential job knowledge they had developed were brought to light and served to develop the training content. The determining factors in the choice of work methods were identified, allowing adjustments to be made to the working conditions that might hinder skill development. The ergonomic process that implied taking working conditions into account in our study may make a significant contribution to vocational didactics, which is based on the cognitive analysis of work for the purpose of improving the effectiveness of job-skills training.

Upper Respiratory Tract Diseases in Athletes in Different Sports Disciplines.

PubMed

Gałązka-Franta, Anna; Jura-Szołtys, Edyta; Smółka, Wojciech; Gawlik, Radosław

2016-12-01

Upper respiratory tract diseases in athletes are a very common medical problem. Training conditions in different sports disciplines increase the risk of upper respiratory disease. Epidemiological evidence suggests that heavy acute or chronic exercise is related to an increased incidence of upper respiratory tract infections in athletes. Regular physical exercise at high intensity may lead to transient immunosuppression due to high prevalence of allergic diseases in athletes. Regardless of the cause they can exclude athletes from the training program and significantly impair their performance. In the present work, the most common upper respiratory tract diseases in athletes taking into account the disciplines in which they most often occur were presented. The focus was laid on symptoms, diagnostic methods and pharmacotherapy. Moreover, preventive procedures which can help reduce the occurrence of upper respiratory tract disease in athletes were presented. Management according to anti-doping rules, criteria for return to training and competition as an important issues of athlete's health were discussed.

Exploring the simulation requirements for virtual regional anesthesia training

NASA Astrophysics Data System (ADS)

Charissis, V.; Zimmer, C. R.; Sakellariou, S.; Chan, W.

2010-01-01

This paper presents an investigation towards the simulation requirements for virtual regional anaesthesia training. To this end we have developed a prototype human-computer interface designed to facilitate Virtual Reality (VR) augmenting educational tactics for regional anaesthesia training. The proposed interface system, aims to compliment nerve blocking techniques methods. The system is designed to operate in real-time 3D environment presenting anatomical information and enabling the user to explore the spatial relation of different human parts without any physical constrains. Furthermore the proposed system aims to assist the trainee anaesthetists so as to build a mental, three-dimensional map of the anatomical elements and their depictive relationship to the Ultra-Sound imaging which is used for navigation of the anaesthetic needle. Opting for a sophisticated approach of interaction, the interface elements are based on simplified visual representation of real objects, and can be operated through haptic devices and surround auditory cues. This paper discusses the challenges involved in the HCI design, introduces the visual components of the interface and presents a tentative plan of future work which involves the development of realistic haptic feedback and various regional anaesthesia training scenarios.

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.

Improving fitness of elite handball players: small-sided games vs. high-intensity intermittent training.

PubMed

Iacono, Antonio Dello; Eliakim, Alon; Meckel, Yoav

2015-03-01

The present study was designed to compare the effects of high-intensity intermittent training (HIIT) and small-sided games (SSGs) training on fitness variables of elite handball players. Eighteen highly trained players (mean age ± SD: 25.6 ± 0.5 years) were assigned to either HIIT or SSGs group training protocols twice per week for 8 weeks. The HIIT consisted of 12-24 × 15 seconds of high-intensity runs interspersed by 15 seconds of recovery. The SSGs training consisted of 3 against 3 small-sided handball games. Both training methods were matched for exercise duration and recovery at each training session. Before and after 8-week training, the following fitness variables were assessed-speed: 10- and 20-m sprint time, agility: handball agility specific test (HAST), upper arm strength: 1 repetition maximum (1RM) bench press test, lower limb power: counter-movement jump tests with (CMJarm) and without (CMJ) arm movement, and aerobic fitness (yo-yo intermittent recovery test level 1 [YYIRTL1]). Significant improvement was found in the YYIRTL1 (23.3 and 26.3%, respectively), 10-m sprint (2.3 and 4.1%, respectively) and 20-m sprint (2.1 and 4%, respectively), HAST (1.1 and 2.2%, respectively), 1RM bench press (6.8 and 12.3%, respectively), CMJ (7.4 and 10.8%, respectively), and CMJarm (6.4 and 8.9%, respectively) following training in both groups (p ≤ 0.05 for all). There was a significantly greater improvement in 10- and 20-m sprint, HAST, 1RM, CMJ, and CMJarm following the SSGs training compared with the HIIT (p ≤ 0.05 for all). These results indicated that both HIIT and SSGs are effective training methods for fitness development among elite adult handball players. However, SSGs training may be considered as the preferred training regimen for improving handball-specific fitness variables during the in-season period.

Training Enhances Both Locomotor and Cognitive Adaptability to a Novel Sensory Environment

NASA Technical Reports Server (NTRS)

Bloomberg, J. J.; Peters, B. T.; Mulavara, A. P.; Brady, R. A.; Batson, C. D.; Ploutz-Snyder, R. J.; Cohen, H. S.

2010-01-01

During adaptation to novel gravitational environments, sensorimotor disturbances have the potential to disrupt the ability of astronauts to perform required mission tasks. The goal of this project is to develop a sensorimotor adaptability (SA) training program to facilitate rapid adaptation. We have developed a unique training system comprised of a treadmill placed on a motion-base facing a virtual visual scene that provides an unstable walking surface combined with incongruent visual flow designed to enhance sensorimotor adaptability. The goal of our present study was to determine if SA training improved both the locomotor and cognitive responses to a novel sensory environment and to quantify the extent to which training would be retained. Methods: Twenty subjects (10 training, 10 control) completed three, 30-minute training sessions during which they walked on the treadmill while receiving discordant support surface and visual input. Control subjects walked on the treadmill but did not receive any support surface or visual alterations. To determine the efficacy of training all subjects performed the Transfer Test upon completion of training. For this test, subjects were exposed to novel visual flow and support surface movement, not previously experienced during training. The Transfer Test was performed 20 minutes, 1 week, 1, 3 and 6 months after the final training session. Stride frequency, auditory reaction time, and heart rate data were collected as measures of postural stability, cognitive effort and anxiety, respectively. Results: Using mixed effects regression methods we determined that subjects who received SA training showed less alterations in stride frequency, auditory reaction time and heart rate compared to controls. Conclusion: Subjects who received SA training improved performance across a number of modalities including enhanced locomotor function, increased multi-tasking capability and reduced anxiety during adaptation to novel discordant sensory information. Trained subjects maintained their level of performance over six months.

Improvement in cardiac dysfunction with a novel circuit training method combining simultaneous aerobic-resistance exercises. A randomized trial.

PubMed

Dor-Haim, Horesh; Barak, Sharon; Horowitz, Michal; Yaakobi, Eldad; Katzburg, Sara; Swissa, Moshe; Lotan, Chaim

2018-01-01

Exercise is considered a valuable nonpharmacological intervention modality in cardiac rehabilitation (CR) programs in patients with ischemic heart disease. The effect of aerobic interval exercise combined with alternating sets of resistance training (super-circuit training, SCT) on cardiac patients' with reduced left ventricular function, post-myocardial infarction (MI) has not been thoroughly investigated. to improve cardiac function with a novel method of combined aerobic-resistance circuit training in a randomized control trial by way of comparing the effectiveness of continuous aerobic training (CAT) to SCT on mechanical cardiac function. Secondary to compare their effect on aerobic fitness, manual strength, and quality of life in men post MI. Finally, to evaluate the safety and feasibility of SCT. 29 men post-MI participants were randomly assigned to either 12-weeks of CAT (n = 15) or SCT (n = 14). Both groups, CAT and SCT exercised at 60%-70% and 75-85% of their heart rate reserve, respectively. The SCT group also engaged in intermittently combined resistance training. Primary outcome measure was echocardiography. Secondary outcome measures were aerobic fitness, strength, and quality of life (QoL). The effectiveness of the two training programs was examined via paired t-tests and Cohen's d effect size (ES). Post-training, only the SCT group presented significant changes in echocardiography (a reduction in E/e' and an increase in ejection fraction, P<0.05). Similarly, only the SCT group presented significant changes in aerobic fitness (an increase in maximal metabolic equivalent, P<0.05). In addition, SCT improvement in the physical component of QoL was greater than this observed in the CAT group. In both training programs, no adverse events were observed. Men post-MI stand to benefit from both CAT and SCT. However, in comparison to CAT, as assessed by echocardiography, SCT may yield greater benefits to the left ventricle mechanical function as well as to the patient's aerobic fitness and physical QoL. Moreover, the SCT program was found to be feasible as well as safe.

Exploring the impact of visual and movement based priming on a motor intervention in the acute phase post-stroke in persons with severe hemiparesis of the upper extremity.

PubMed

Patel, Jigna; Qiu, Qinyin; Yarossi, Mathew; Merians, Alma; Massood, Supriya; Tunik, Eugene; Adamovich, Sergei; Fluet, Gerard

2017-07-01

Explore the potential benefits of using priming methods prior to an active hand task in the acute phase post-stroke in persons with severe upper extremity hemiparesis. Five individuals were trained using priming techniques including virtual reality (VR) based visual mirror feedback and contralaterally controlled passive movement strategies prior to training with an active pinch force modulation task. Clinical, kinetic, and neurophysiological measurements were taken pre and post the training period. Clinical measures were taken at six months post training. The two priming simulations and active training were well tolerated early after stroke. Priming effects were suggested by increased maximal pinch force immediately after visual and movement based priming. Despite having no clinically observable movement distally, the subjects were able to volitionally coordinate isometric force and muscle activity (EMG) in a pinch tracing task. The Root Mean Square Error (RMSE) of force during the pinch trace task gradually decreased over the training period suggesting learning may have occurred. Changes in motor cortical neurophysiology were seen in the unaffected hemisphere using Transcranial Magnetic Stimulation (TMS) mapping. Significant improvements in motor recovery as measured by the Action Research Arm Test (ARAT) and the Upper Extremity Fugl Meyer Assessment (UEFMA) were demonstrated at six months post training by three of the five subjects. This study suggests that an early hand-based intervention using visual and movement based priming activities and a scaled motor task allows participation by persons without the motor control required for traditionally presented rehabilitation and testing. Implications for Rehabilitation Rehabilitation of individuals with severely paretic upper extremities after stroke is challenging due to limited movement capacity and few options for therapeutic training. Long-term functional recovery of the arm after stroke depends on early return of active hand control, establishing a need for acute training methods focused distally. This study demonstrates the feasibility of an early hand-based intervention using virtual reality based priming and scaled motor activities which can allow for participation by persons without the motor control required for traditionally presented rehabilitation and testing.

[French language training course: malaria workshop organized by Institut Pasteur de Madagascar].

PubMed

Domarle, O; Randrianarivelojosia, M; Duchemin, J B; Robert, V; Ariey, F; Hommel, M

2007-10-01

The Malaria Workshop organized by Institut Pasteur de Madagascar is an original course that applies innovative concepts to training of health professionals involved in malaria control in endemic countries. Course objectives are to enhance the skills needed to fight malaria (transversal competencies, critical approach, and position statement), to reinforce project cycle management proficiency, and to demonstrate how the Internet can be used as a source of documentation to compensate for geographical isolation. The Malaria Workshop is a six-consecutive-week full-day course that has been presented once a year since 2003. Seventy-six researchers, physicians or health ministry officials have already benefited from this training. Teaching methods emphasize andragogy that facilitates a learner/mentor relationship promoting exchange rather than transmission of knowledge and problem-based learning that engages learners to take an active part in gathering information. These methods in combination with the diverse backgrounds and experience of course participants foster a positive dynamic environment for learning that is monitored by weekly progress evaluation. Follow-up surveys have confirmed the positive effect of this training on the professional performance of former participants who become more involved in program development and fund-raising efforts. A professional network is growing and learners are starting to their experience. In this report workshop organizers describe the course's origins and concepts and present the conclusions drawn based on the first five yearly sessions.

Artificial intelligence in sports on the example of weight training.

PubMed

Novatchkov, Hristo; Baca, Arnold

2013-01-01

The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key pointsArtificial intelligence is a promising field for sport-related analysis.Implementations integrating pattern recognition techniques enable the automatic evaluation of data measurements.Artificial neural networks applied for the analysis of weight training data show good performance and high classification rates.

Artificial Intelligence in Sports on the Example of Weight Training

PubMed Central

Novatchkov, Hristo; Baca, Arnold

2013-01-01

The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key points Artificial intelligence is a promising field for sport-related analysis. Implementations integrating pattern recognition techniques enable the automatic evaluation of data measurements. Artificial neural networks applied for the analysis of weight training data show good performance and high classification rates. PMID:24149722

Interactive multimedia for prenatal ultrasound training.

PubMed

Lee, W; Ault, H; Kirk, J S; Comstock, C H

1995-01-01

This demonstration project examines the utility of interactive multimedia for prenatal ultrasound training. A laser-disc library was linked to a three-dimensional (3-D) heart model and other computer-based training materials through interactive multimedia. A testing module presented ultrasound anomalies and related questions to house-staff physicians through the image library. Users were asked to evaluate these training materials on the basis of perceived instructional value, question content, subjects covered, graphics interface, and ease of use; users were also asked for their comments. House-staff physicians indicated that they consider interactive multimedia to be a helpful adjunct to their core fetal imaging rotation. During a 9-month period, 16 house-staff physicians correctly diagnosed 78 +/- 4% of unknown cases presented through the testing module. The 3-D heart model was also perceived to be a useful teaching aid for spatial orientation skills. Our findings suggest that interactive multimedia and volume visualization models can be used to supplement traditional prenatal ultrasound training. The system provides a broad exposure to ultrasound anomalies, increases opportunities for postnatal correlation, emphasizes motion video for ultrasound training, encourages development of independent diagnostic ability, and helps physicians understand anatomic orientation. We hypothesize that interactive multimedia-based tutorials provide a better overall training experience for house-staff physicians. However, these supplementary methods will require formal evaluation of effectiveness to better understand their potential educational impact.

Improved single pellet grasping using automated ad libitum full-time training robot.

PubMed

Fenrich, Keith K; May, Zacnicte; Hurd, Caitlin; Boychuk, Carolyn E; Kowalczewski, Jan; Bennett, David J; Whishaw, Ian Q; Fouad, Karim

2015-03-15

The single pellet grasping (SPG) task is a skilled forelimb motor task commonly used to evaluate reaching and grasp kinematics and recovery of forelimb function in rodent models of CNS injuries and diseases. To train rats in the SPG task, the animals are usually food restricted then placed in an SPG task enclosure and presented food pellets on a platform located beyond a slit located at the front of the task enclosure for 10-30 min, normally every weekday for several weeks. When the SPG task is applied in studies involving various experimental groups, training quickly becomes labor intensive, and can yield results with significant day-to-day variability. Furthermore, training is frequently done during the animals' light-cycle, which for nocturnal rodents such as mice and rats could affect performance. Here we describe an automated pellet presentation (APP) robotic system to train and test rats in the SPG task that reduces some of the procedural weaknesses of manual training. We found that APP trained rats performed significantly more trials per 24 h period, and had higher success rates with less daily and weekly variability than manually trained rats. Moreover, the results show that success rates are positively correlated with the number of dark-cycle trials, suggesting that dark-cycle training has a positive effect on success rates. These results demonstrate that automated training is an effective method for evaluating and training skilled reaching performance of rats, opening up the possibility for new approaches to investigating the role of motor systems in enabling skilled forelimb use and new approaches to investigating rehabilitation following CNS injury. Copyright © 2014 Elsevier B.V. All rights reserved.

Results and implications of the EU-project CARERS ‘Content materials to raise employability and reinforce skills of carers’

PubMed Central

Weber, Germain; Zeilinger, Elisabeth; Oppenauer, Claudia; Brehmer, Barbara

2009-01-01

Purpose The population, and needs, of informal carers is changing, reflecting not only the changing demographics across Europe, but also the unequal challenges and opportunities for education and training—and official approval of competences—across Europe for people involved in the care sector, formal as well as informal carers. Theory The objective of this European project (Austria, France, Lithuania Luxembourg, Poland and Spain) was to create, offer and evaluate an education and training programme specifically aimed at informal carers (e.g. family members), providing answers to meet their real needs in their support work as well as for their own emotional well-being. Therefore, project partners produced six innovative, online supported training modules (total 60 hours) for face-to-face delivery. Methods The presentation will highlight the development and the content of one training Module for older people with ‘intellectual disabilities’ more detailed. Results and conclusions All trainings were evaluated by the participants through pre/post questionnaires. The results of the trainings will be presented. Discussion The importance of trainings and support for informal carers will be discussed with special emphasis given on the fact that informal carers represent a most substantial economic resource for every country and its care system.

Participatory approach to improving safety, health and working conditions in informal economy workplaces in Cambodia.

PubMed

Kawakami, Tsuyoshi; Tong, Leng; Kannitha, Yi; Sophorn, Tun

2011-01-01

The present study aimed to improve safety and health in informal economy workplaces such as home workplaces, small construction sites, and rural farms in Cambodia by using "participatory" approach. The government, workers' and employers' organizations and NGOs jointly assisted informal economy workers in improving safety and health by using participatory training methodologies. The steps taken were: (1) to collect existing good practices in safety and health in Cambodia; (2) to develop new participatory training programmes for home workers and small construction sites referring to ILO's WISE training programme, and (3) to train government officers, workers, employers and NGOs as safety and health trainers. The participatory training programmes developed consisted of action-checklists associated with illustrations, good example photo sheets, and texts explaining practical, low-cost improvement measures. The established safety and health trainers reached many informal economy workers through their human networks, and trained them by using the developed participatory training programmes. More than 3,000 informal economy workers were trained and they implemented improvements by using low-cost methods. Participatory training methodologies and active cooperation between the government, workers, employers and NGOs made it possible to provide practical training for those involved in the informal economy workplaces.

A qualitative and quantitative assessment for a bone marrow harvest simulator.

PubMed

Machado, Liliane S; Moraes, Ronei M

2009-01-01

Several approaches to perform assessment in training simulators based on virtual reality have been proposed. There are two kinds of assessment methods: offline and online. The main requirements related to online training assessment methodologies applied to virtual reality systems are the low computational complexity and the high accuracy. In the literature it can be found several approaches for general cases which can satisfy such requirements. An inconvenient about those approaches is related to an unsatisfactory solution for specific cases, as in some medical procedures, where there are quantitative and qualitative information available to perform the assessment. In this paper, we present an approach to online training assessment based on a Modified Naive Bayes which can manipulate qualitative and quantitative variables simultaneously. A special medical case was simulated in a bone marrow harvest simulator. The results obtained were satisfactory and evidenced the applicability of the method.

Psychobiography Training in Psychology in North America: Mapping the Field and Charting a Course

PubMed Central

Ponterotto, Joseph G.; Reynolds, Jason D.; Morel, Samantha; Cheung, Linda

2015-01-01

Psychobiography holds an important position in the history of psychology, yet little is known about the status of psychobiographical training and dissertation research in psychology departments. This brief report identified psychobiography courses throughout North America and content analyzed a sample of 65 psychobiography dissertations to discern the theories and methods that have most commonly anchored this research. Results identified few psychology courses specifically in psychobiography, with a larger number of courses incorporating psychobiographical and/or narrative elements. With regard to psychobiography dissertations, the majority focused on artists, pioneering psychologists, and political leaders. Theories undergirding psychobiographical studies were most frequently psychoanalytic and psychodynamic. Methodologically, a majority of the dissertations were anchored in constructivist (discovery-oriented) qualitative procedures, with a minority incorporating mixed methods designs. The authors highlight the value of psychobiographical training to psychology students and present avenues and models for incorporating psychobiography into psychology curriculums. PMID:27247670

Infrastructure-Free Mapping and Localization for Tunnel-Based Rail Applications Using 2D Lidar

NASA Astrophysics Data System (ADS)

Daoust, Tyler

This thesis presents an infrastructure-free mapping and localization framework for rail vehicles using only a lidar sensor. The method was designed to handle modern underground tunnels: narrow, parallel, and relatively smooth concrete walls. A sliding-window algorithm was developed to estimate the train's motion, using a Renyi's Quadratic Entropy (RQE)-based point-cloud alignment system. The method was tested with datasets gathered on a subway train travelling at high speeds, with 75 km of data across 14 runs, simulating 500 km of localization. The system was capable of mapping with an average error of less than 0.6 % by distance. It was capable of continuously localizing, relative to the map, to within 10 cm in stations and at crossovers, and 2.3 m in pathological sections of tunnel. This work has the potential to improve train localization in a tunnel, which can be used to increase capacity and for automation purposes.

Autogenic-Feedback Training (AFT) as a preventive method for space motion sickness: Background and experimental design

NASA Technical Reports Server (NTRS)

Cowings, Patricia S.; Toscano, William B.

1993-01-01

Finding an effective treatment for the motion sickness-like symptoms that occur in space has become a high priority for NASA. The background research is reviewed and the experimental design of a formal life sciences shuttle flight experiment designed to prevent space motion sickness in shuttle crew members is presented. This experiment utilizes a behavioral medicine approach to solving this problem. This method, Autogenic-Feedback Training (AFT), involves training subjects to voluntarily control several of their own physiological responses to environmental stressors. AFT has been used reliably to increase tolerance to motion sickness during ground-based tests in over 200 men and women under a variety of conditions that induce motion sickness, and preliminary evidence from space suggests that AFT may be an effective treatment for space motion sickness as well. Proposed changes to this experiment for future manifests are included.

When instructions fail. The effects of stimulus control training on brain injury survivors' attending and reporting during hearing screenings.

PubMed

Schlund, M W

2000-10-01

Bedside hearing screenings are routinely conducted by speech and language pathologists for brain injury survivors during rehabilitation. Cognitive deficits resulting from brain injury, however, may interfere with obtaining estimates of auditory thresholds. Poor comprehension or attention deficits often compromise patient abilities to follow procedural instructions. This article describes the effects of jointly applying behavioral methods and psychophysical methods to improve two severely brain-injured survivors' attending and reporting on auditory test stimuli presentation. Treatment consisted of stimulus control training that involved differentially reinforcing responding in the presence and absence of an auditory test tone. Subsequent hearing screenings were conducted with novel auditory test tones and a common titration procedure. Results showed that prior stimulus control training improved attending and reporting such that hearing screenings were conducted and estimates of auditory thresholds were obtained.

Fault detection and diagnosis of diesel engine valve trains

NASA Astrophysics Data System (ADS)

Flett, Justin; Bone, Gary M.

2016-05-01

This paper presents the development of a fault detection and diagnosis (FDD) system for use with a diesel internal combustion engine (ICE) valve train. A novel feature is generated for each of the valve closing and combustion impacts. Deformed valve spring faults and abnormal valve clearance faults were seeded on a diesel engine instrumented with one accelerometer. Five classification methods were implemented experimentally and compared. The FDD system using the Naïve-Bayes classification method produced the best overall performance, with a lowest detection accuracy (DA) of 99.95% and a lowest classification accuracy (CA) of 99.95% for the spring faults occurring on individual valves. The lowest DA and CA values for multiple faults occurring simultaneously were 99.95% and 92.45%, respectively. The DA and CA results demonstrate the accuracy of our FDD system for diesel ICE valve train fault scenarios not previously addressed in the literature.

The changing face of surgical education: simulation as the new paradigm.

PubMed

Scott, Daniel J; Cendan, Juan C; Pugh, Carla M; Minter, Rebecca M; Dunnington, Gary L; Kozar, Rosemary A

2008-06-15

Surgical simulation has evolved considerably over the past two decades and now plays a major role in training efforts designed to foster the acquisition of new skills and knowledge outside of the clinical environment. Numerous driving forces have fueled this fundamental change in educational methods, including concerns over patient safety and the need to maximize efficiency within the context of limited work hours and clinical exposure. The importance of simulation has been recognized by the major stake-holders in surgical education, and the Residency Review Committee has mandated that all programs implement skills training curricula in 2008. Numerous issues now face educators who must use these novel training methods. It is important that these individuals have a solid understanding of content, development, research, and implementation aspects regarding simulation. This paper highlights presentations about these topics from a panel of experts convened at the 2008 Academic Surgical Congress.

THE CHANGING FACE OF SURGICAL EDUCATION: SIMULATION AS THE NEW PARADIGM

PubMed Central

Scott, Daniel J.; Cendan, Juan C.; Pugh, Carla M.; Minter, Rebecca M.; Dunnington, Gary L.; Kozar, Rosemary A.

2009-01-01

Surgical simulation has evolved considerably over the past two decades and now plays a major role in training efforts designed to foster the acquisition of new skills and knowledge outside of the clinical environment. Numerous driving forces have fueled this fundamental change in educational methods, including concerns over patient safety and the need to maximize efficiency within the context of limited work hours and clinical exposure. The importance of simulation has been recognized by the major stake-holders in surgical education, and the Residency Review Committee has mandated that all programs implement skills training curricula in 2008. Numerous issues now face educators who must use these novel training methods. It is important that these individuals have a solid understanding of content, development, research, and implementation aspects regarding simulation. This paper highlights presentations about these topics from a panel of experts convened at the 2008 Academic Surgical Congress. PMID:18498868

Implementation of EPA's Worker Protection Standard training for agricultural laborers: an evaluation using North Carolina data.

PubMed Central

Arcury, T A; Quandt, S A; Austin, C K; Preisser, J; Cabrera, L F

1999-01-01

The US Environmental Protection Agency has promulgated a Worker Protection Standard which requires that farmworkers receive pesticide safety training. The implementation of these regulations has not been evaluated. Using data collected through personal interviews with 270 Hispanic farmworkers recruited from 35 labor sites in an eight-county area, the authors analyzed the extent to which farmworkers received pesticide safety training, characteristics of the training, and variations in knowledge and safety behavior. Approximately a third of the farmworkers reported having ever received information or training on pesticide safety, and 25.6% reported having received training in the year in which they were interviewed. Workers with H2A visas were significantly more likely to have received training than workers without these visas. The training received varied in location, duration, and language. Most included the use of a video, as well as verbal presentation, and most included printed materials. However, few workers knew the ways in which they could be exposed to pesticides or reported using any method to protect themselves from pesticide exposure. PMID:10590768

Education and Training to Address Specific Needs During the Career Progression of Surgeons.

PubMed

Sachdeva, Ajit K; Blair, Patrice Gabler; Lupi, Linda K

2016-02-01

Surgeons have specific education and training needs as they enter practice, progress through the core period of active practice, and then as they wind down their clinical work before retirement. These transitions and the career progression process, combined with the dynamic health care environment, present specific opportunities for innovative education and training based on practice-based learning and improvement, and continuous professional development methods. Cutting-edge technologies, blended models, simulation, mentoring, preceptoring, and integrated approaches can play critical roles in supporting surgeons as they provide the best surgical care throughout various phases of their careers. Copyright © 2016 Elsevier Inc. All rights reserved.

Method and apparatus for measuring frequency and phase difference

NASA Technical Reports Server (NTRS)

Shores, Paul (Inventor); Lichtenberg, Christopher (Inventor); Kobayashi, Herbert S. (Inventor); Cunningham, Allen R. (Inventor)

1986-01-01

The present invention is a system for deriving direct digital indications of frequency and phase difference between two incoming pulse trains adaptable for collision avoidance systems or the like. A pair of radar beams are directed toward a target and corresponding beams returning therefrom are detected. A digital difference circuit forms a pulse train from the Doppler shift frequencies of each beam pair having a repetition rate functionally related to the difference in magnitude of the shift frequencies. Pulses from the pulse train are counted as a function of time. Visual indications thereof on display are correlative to target position relative to beams.

Vibrotactile sensory substitution for object manipulation: amplitude versus pulse train frequency modulation.

PubMed

Stepp, Cara E; Matsuoka, Yoky

2012-01-01

Incorporating sensory feedback with prosthetic devices is now possible, but the optimal methods of providing such feedback are still unknown. The relative utility of amplitude and pulse train frequency modulated stimulation paradigms for providing vibrotactile feedback for object manipulation was assessed in 10 participants. The two approaches were studied during virtual object manipulation using a robotic interface as a function of presentation order and a simultaneous cognitive load. Despite the potential pragmatic benefits associated with pulse train frequency modulated vibrotactile stimulation, comparison of the approach with amplitude modulation indicates that amplitude modulation vibrotactile stimulation provides superior feedback for object manipulation.

Introduction strategies raise key questions.

PubMed

Finger, W R; Keller, S

1995-09-01

Key issues that must be considered before a new contraceptive is introduced center on the need for a trained provider to begin or terminate the method, its side effects, duration of use, method's ability to meet users' needs and preferences, and extra training or staff requirements. Logistics and economic issues to consider are identifying a dependable way of effectively supplying commodities, planning extra services needed for the method, and cost of providing the method. Each contraceptive method presents a different side effect pattern and burdens the service delivery setting differently. The strategy developed to introduce or expand the 3-month injectable Depo-Provera (DMPA) can be used for any method. It includes a needs assessment and addresses regulatory issues, service delivery policies and procedures, information and training, evaluation, and other concerns. Viet Nam's needs assessment showed that Norplant should not be introduced until the service delivery system becomes stronger. Any needs assessment for expansion of contraceptive services should cover sexually transmitted disease/HIV issues. A World Health Organization strategy helps officials identify the best method mix for local situations. Introductory strategies must aim to improve the quality of family planning programs and expand choices. Many begin by examining existing data and conducting interviews with policymakers, users, providers, and women's health advocates. Introductory programs for Norplant focus on provider training, adequate counseling and informed consent for users, and ready access to removal. They need a well-prepared service delivery infrastructure. The first phase of the DMPA introductory strategy for the Philippines comprised a social marketing campaign and DMPA introduction at public clinics in 10 pilot areas with strong service delivery. Successful AIDS prevention programs show that people tend to use barrier methods when they are available. USAID is currently studying whether or not women in developing countries will use the female condom.

Student Leadership: A Checklist for Success.

ERIC Educational Resources Information Center

Chmielewski, Tonya R.

2000-01-01

Presents a checklist of student-government advisers' responsibilities governing bylaws, organization, section or appointment guidelines, job descriptions, committees, meetings, attendance policies, decision making, problem solving, public relations, goals, communication methods, training, budgets, fund raising, advertising, and other matters. A…

Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks.

PubMed

Lashkari, Negin; Poshtan, Javad; Azgomi, Hamid Fekri

2015-11-01

The three-phase shift between line current and phase voltage of induction motors can be used as an efficient fault indicator to detect and locate inter-turn stator short-circuit (ITSC) fault. However, unbalanced supply voltage is one of the contributing factors that inevitably affect stator currents and therefore the three-phase shift. Thus, it is necessary to propose a method that is able to identify whether the unbalance of three currents is caused by ITSC or supply voltage fault. This paper presents a feedforward multilayer-perceptron Neural Network (NN) trained by back propagation, based on monitoring negative sequence voltage and the three-phase shift. The data which are required for training and test NN are generated using simulated model of stator. The experimental results are presented to verify the superior accuracy of the proposed method. Copyright © 2015. Published by Elsevier Ltd.

Automatic bone segmentation in knee MR images using a coarse-to-fine strategy

NASA Astrophysics Data System (ADS)

Park, Sang Hyun; Lee, Soochahn; Yun, Il Dong; Lee, Sang Uk

2012-02-01

Segmentation of bone and cartilage from a three dimensional knee magnetic resonance (MR) image is a crucial element in monitoring and understanding of development and progress of osteoarthritis. Until now, various segmentation methods have been proposed to separate the bone from other tissues, but it still remains challenging problem due to different modality of MR images, low contrast between bone and tissues, and shape irregularity. In this paper, we present a new fully-automatic segmentation method of bone compartments using relevant bone atlases from a training set. To find the relevant bone atlases and obtain the segmentation, a coarse-to-fine strategy is proposed. In the coarse step, the best atlas among the training set and an initial segmentation are simultaneously detected using branch and bound tree search. Since the best atlas in the coarse step is not accurately aligned, all atlases from the training set are aligned to the initial segmentation, and the best aligned atlas is selected in the middle step. Finally, in the fine step, segmentation is conducted as adaptively integrating shape of the best aligned atlas and appearance prior based on characteristics of local regions. For experiment, femur and tibia bones of forty test MR images are segmented by the proposed method using sixty training MR images. Experimental results show that a performance of the segmentation and the registration becomes better as going near the fine step, and the proposed method obtain the comparable performance with the state-of-the-art methods.

Validation of a method for real time foot position and orientation tracking with Microsoft Kinect technology for use in virtual reality and treadmill based gait training programs.

PubMed

Paolini, Gabriele; Peruzzi, Agnese; Mirelman, Anat; Cereatti, Andrea; Gaukrodger, Stephen; Hausdorff, Jeffrey M; Della Croce, Ugo

2014-09-01

The use of virtual reality for the provision of motor-cognitive gait training has been shown to be effective for a variety of patient populations. The interaction between the user and the virtual environment is achieved by tracking the motion of the body parts and replicating it in the virtual environment in real time. In this paper, we present the validation of a novel method for tracking foot position and orientation in real time, based on the Microsoft Kinect technology, to be used for gait training combined with virtual reality. The validation of the motion tracking method was performed by comparing the tracking performance of the new system against a stereo-photogrammetric system used as gold standard. Foot position errors were in the order of a few millimeters (average RMSD from 4.9 to 12.1 mm in the medio-lateral and vertical directions, from 19.4 to 26.5 mm in the anterior-posterior direction); the foot orientation errors were also small (average %RMSD from 5.6% to 8.8% in the medio-lateral and vertical directions, from 15.5% to 18.6% in the anterior-posterior direction). The results suggest that the proposed method can be effectively used to track feet motion in virtual reality and treadmill-based gait training programs.

Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing.

PubMed

Thyreau, Benjamin; Sato, Kazunori; Fukuda, Hiroshi; Taki, Yasuyuki

2018-01-01

The hippocampus is a particularly interesting target for neuroscience research studies due to its essential role within the human brain. In large human cohort studies, bilateral hippocampal structures are frequently identified and measured to gain insight into human behaviour or genomic variability in neuropsychiatric disorders of interest. Automatic segmentation is performed using various algorithms, with FreeSurfer being a popular option. In this manuscript, we present a method to segment the bilateral hippocampus using a deep-learned appearance model. Deep convolutional neural networks (ConvNets) have shown great success in recent years, due to their ability to learn meaningful features from a mass of training data. Our method relies on the following key novelties: (i) we use a wide and variable training set coming from multiple cohorts (ii) our training labels come in part from the output of the FreeSurfer algorithm, and (iii) we include synthetic data and use a powerful data augmentation scheme. Our method proves to be robust, and it has fast inference (<30s total per subject), with trained model available online (https://github.com/bthyreau/hippodeep). We depict illustrative results and show extensive qualitative and quantitative cohort-wide comparisons with FreeSurfer. Our work demonstrates that deep neural-network methods can easily encode, and even improve, existing anatomical knowledge, even when this knowledge exists in algorithmic form. Copyright © 2017 Elsevier B.V. All rights reserved.

30 CFR 250.1503 - What are my general responsibilities for training?

Code of Federal Regulations, 2010 CFR

2010-07-01

... plan that specifies the type, method(s), length, frequency, and content of the training for your employees. Your training plan must specify the method(s) of verifying employee understanding and performance. This plan must include at least the following information: (1) Procedures for training employees in...

Learning "about" and Learning "through" Technology: An Analysis of Syllabi from Foreign Language Teaching Methods Courses

ERIC Educational Resources Information Center

Angus, Katie B.

2017-01-01

The 2007 Modern Language Association (MLA) report recommended that foreign language (FL) graduate students be provided with "substantive training in language teaching and in the use of new technologies". In the present study, I examined teaching methodology ("methods") course syllabi in order to gauge the extent of professional…

An Inquiry-Based Approach to Teaching Research Methods in Information Studies

ERIC Educational Resources Information Center

Albright, Kendra; Petrulis, Robert; Vasconcelos, Ana; Wood, Jamie

2012-01-01

This paper presents the results of a project that aimed at restructuring the delivery of research methods training at the Information School at the University of Sheffield, UK, based on an Inquiry-Based Learning (IBL) approach. The purpose of this research was to implement inquiry-based learning that would allow customization of research methods…

Innovative Teaching Practice: Traditional and Alternative Methods (Challenges and Implications)

ERIC Educational Resources Information Center

Nurutdinova, Aida R.; Perchatkina, Veronika G.; Zinatullina, Liliya M.; Zubkova, Guzel I.; Galeeva, Farida T.

2016-01-01

The relevance of the present issue is caused be the strong need in alternative methods of learning foreign language and the need in language training and retraining for the modern professionals. The aim of the article is to identify the basic techniques and skills in using various modern techniques in the context of modern educational tasks. The…

In vitro methods for the determination of test chemicals metabolism utilizing fish liver subcellular fractions and hepatocytes

EPA Science Inventory

The purpose of this one-day short course is to train students on methods used to measure in vitro metabolism in fish and extrapolate this information to the intact animal. This talk is one of four presentations given by course instructors. The first part of this talk provides a...

Facilitating Pre-Service Teachers to Develop Regulation of Cognition with Learning Management System

ERIC Educational Resources Information Center

Gutman, Mary

2017-01-01

The object of the present study is to propose a technologically based method for developing Regulation of Cognition (RC) among pre-service teachers in a pedagogical problem context. The research intervention was carried out by two groups during a Teaching Training Workshop, based on the IMPROVE instructional method, which was implemented in the…

Initial Results of the Master's Degree Programme in "Leadership in Medicine" – Impact on hospital-based follow-on training of doctors

PubMed Central

Wulfert, Chris-Henrik; Hoitz, Joachim; Senger, Ulrike

2017-01-01

Objective: This pilot project, which was jointly conducted by a hospital and a university, describes the development of the Master's Degree Programme in Leadership in Medicine, a course designed to supplement medical specialty training. The aim of the pilot project is to demonstrate how hospital-based projects on personnel and organisational development undertaken under academic supervision can be used to increase leadership responsibility among doctors whose duties include providing initial and follow-on training and to professionalise medical specialty training as a leadership task. This need arose from the nationwide requirements and an internal audit regarding follow-on training. The version of the degree programme described below aims to further the personnel development of the participants in the field of didactics. Method: Each of the nine modules is made up of two classroom-based phases and one distance learning phase. The distance learning phase involves undertaking hospital-based projects on personnel and organisational development under academic supervision. The pilot phase participants were hospital doctors who, as part of their duties, hold leadership responsibility or are involved in the follow-on training of doctors. Results: The 17 participants successfully implemented more than 30 hospital-based projects during the distance learning phases of the nine modules. These projects included the development of medical specialty curricula, relevant didactic methods and evaluation design and were subsequently presented and subjected to reflection in interdisciplinary groups. The project presentation together with the project report were regarded as proof of competency. Conclusion: In addition to enhancing participant competency, the degree model described, which interlinks theory and practice, promotes organisational development through the implementation of projects undertaken under academic supervision. This has a double impact on the quality of medical follow-on training at the hospital where the participant is based, for not only is the individual's didactic competency enhanced, but so is the "learning organisation" as a whole as a result of continuous project orientation. PMID:29226220

Initial Results of the Master's Degree Programme in "Leadership in Medicine" - Impact on hospital-based follow-on training of doctors.

PubMed

Wulfert, Chris-Henrik; Hoitz, Joachim; Senger, Ulrike

2017-01-01

Objective: This pilot project, which was jointly conducted by a hospital and a university, describes the development of the Master's Degree Programme in Leadership in Medicine, a course designed to supplement medical specialty training. The aim of the pilot project is to demonstrate how hospital-based projects on personnel and organisational development undertaken under academic supervision can be used to increase leadership responsibility among doctors whose duties include providing initial and follow-on training and to professionalise medical specialty training as a leadership task. This need arose from the nationwide requirements and an internal audit regarding follow-on training. The version of the degree programme described below aims to further the personnel development of the participants in the field of didactics. Method: Each of the nine modules is made up of two classroom-based phases and one distance learning phase. The distance learning phase involves undertaking hospital-based projects on personnel and organisational development under academic supervision. The pilot phase participants were hospital doctors who, as part of their duties, hold leadership responsibility or are involved in the follow-on training of doctors. Results: The 17 participants successfully implemented more than 30 hospital-based projects during the distance learning phases of the nine modules. These projects included the development of medical specialty curricula, relevant didactic methods and evaluation design and were subsequently presented and subjected to reflection in interdisciplinary groups. The project presentation together with the project report were regarded as proof of competency. Conclusion: In addition to enhancing participant competency, the degree model described, which interlinks theory and practice, promotes organisational development through the implementation of projects undertaken under academic supervision. This has a double impact on the quality of medical follow-on training at the hospital where the participant is based, for not only is the individual's didactic competency enhanced, but so is the "learning organisation" as a whole as a result of continuous project orientation.

Decoding the attended speech stream with multi-channel EEG: implications for online, daily-life applications

NASA Astrophysics Data System (ADS)

Mirkovic, Bojana; Debener, Stefan; Jaeger, Manuela; De Vos, Maarten

2015-08-01

Objective. Recent studies have provided evidence that temporal envelope driven speech decoding from high-density electroencephalography (EEG) and magnetoencephalography recordings can identify the attended speech stream in a multi-speaker scenario. The present work replicated the previous high density EEG study and investigated the necessary technical requirements for practical attended speech decoding with EEG. Approach. Twelve normal hearing participants attended to one out of two simultaneously presented audiobook stories, while high density EEG was recorded. An offline iterative procedure eliminating those channels contributing the least to decoding provided insight into the necessary channel number and optimal cross-subject channel configuration. Aiming towards the future goal of near real-time classification with an individually trained decoder, the minimum duration of training data necessary for successful classification was determined by using a chronological cross-validation approach. Main results. Close replication of the previously reported results confirmed the method robustness. Decoder performance remained stable from 96 channels down to 25. Furthermore, for less than 15 min of training data, the subject-independent (pre-trained) decoder performed better than an individually trained decoder did. Significance. Our study complements previous research and provides information suggesting that efficient low-density EEG online decoding is within reach.

The effectiveness of a training method using self-modeling webcam photos for reducing musculoskeletal risk among office workers using computers.

PubMed

Taieb-Maimon, Meirav; Cwikel, Julie; Shapira, Bracha; Orenstein, Ido

2012-03-01

An intervention study was conducted to examine the effectiveness of an innovative self-modeling photo-training method for reducing musculoskeletal risk among office workers using computers. Sixty workers were randomly assigned to either: 1) a control group; 2) an office training group that received personal, ergonomic training and workstation adjustments or 3) a photo-training group that received both office training and an automatic frequent-feedback system that displayed on the computer screen a photo of the worker's current sitting posture together with the correct posture photo taken earlier during office training. Musculoskeletal risk was evaluated using the Rapid Upper Limb Assessment (RULA) method before, during and after the six weeks intervention. Both training methods provided effective short-term posture improvement; however, sustained improvement was only attained with the photo-training method. Both interventions had a greater effect on older workers and on workers suffering more musculoskeletal pain. The photo-training method had a greater positive effect on women than on men. Copyright © 2011 Elsevier Ltd and The Ergonomics Society. All rights reserved.

A pilot training program for people in recovery of mental illness as vocational peer support workers in Hong Kong - Job Buddies Training Program (JBTP): A preliminary finding.

PubMed

Yam, Kevin Kei Nang; Lo, William Tak Lam; Chiu, Rose Lai Ping; Lau, Bien Shuk Yin; Lau, Charles Ka Shing; Wu, Jen Kei Yu; Wan, Siu Man

2018-06-01

The present study reviews the delivery of a pilot curriculum-mentorship-based peer vocational support workers training in a Hong Kong public psychiatric hospital. The present paper reports (1) on the development of a peer vocational support workers training - Job Buddies Training Program (JBTP) in Hong Kong; and (2) preliminary findings from both quantitative and qualitative perspectives. The curriculum consists of 15-session coursework, 8-session storytelling workshop and 50-hour practicum to provide Supported Employment Peer Service (SEPS) under the mentorship of occupational therapists. Six trainees were assessed using three psychosocial assessments and qualitative methods. Compared to the baseline, the Job Buddies (JB) trainees showed an increase in awareness of their own recovery progress, occupational competence and problem-solving skills at the end of the training. Their perceived level of self-stigma was also lessened. In post-training evaluation, all Job Buddies trainees said they perceived positive personal growth and discovered their own strengths. They also appreciated the help from their mentors and gained mutual support from other trainees and from exposure with various mini-projects in the training. This pilot study provides an example of incorporating peer support and manualized training into existing work rehabilitation service for our JB trainees. Further studies on the effectiveness of service provided by peer support workers and for development on the potential use of peer support workers in other clinical and rehabilitation settings with larger subjects will be fruitful. Copyright © 2016. Published by Elsevier B.V.

The comparison the effect of training by means of simulation and oral method on midwives’ skill in management of shoulder dystocia

PubMed Central

Kordi, Masoumeh; Erfanian, Fatemeh; Fakari, Farzaneh Rashidi; Dastfan, Fatemeh; Nejad, Keivan Shariati

2017-01-01

INTRODUCTION: Shoulder dystocia is one of the obstetric emergencies that are accompanied to serious risks for mother and fetus. It necessitates making the method of training of shoulder dystocia management more efficient, i.e., better management and giving services with higher quality. Thus, this study was carried out to compare the impact of training by simulation and oral technique on the skill of the employed midwives in obstetric clinics at Mashhad city (Iran) in shoulder dystocia management during 2012. METHODS: The current research is a double-group clinical trial that was conducted on 51 members of the employed midwives in the obstetric clinic at Mashhad city in 2012. The questionnaire of personal specification and awareness about shoulder dystocia and practical examination (objective-structured clinical examination) were employed as tools for data collection. The learners were divided into two groups by randomized allocation. Training was done by the presentation of lecture in the oral content group and a short movie was displayed at the end of it. The shoulder dystocia management technique was simulated in another group and through role-playing of instructor application of moulage (station) training was conducted. The period of the training course (4 h) and content of the educational workshop was identical for both groups. The practical examination was held for the learners before and immediately after training course. The given data were analyzed by means of statistical descriptive tests including Mann–Whitney U-test and Wilcoxon test via SPSS software (version 16). The significance level was considered as (P < 0.05) in all cases. RESULTS: The total mean score was significantly increased for the variable of shoulder dystocia management skill after intervention in both groups (P < 0.0001). Similarly, the results of Mann–Whitney U-test statistical tests indicated that total mean score for the variable of shoulder dystocia management skill after the intervention was significantly greater in simulation group than in an oral group (P = 0.040). CONCLUSION: Training in simulated delivery room by means of role-playing is an efficient method for training shoulder dystocia management skill, so it is recommended to use this program in the training of this skill. PMID:28616417

Graduate admissions in clinical neuropsychology: the importance of undergraduate training.

PubMed

Karazsia, Bryan T; Stavnezer, Amy Jo; Reeves, Jonathan W

2013-11-01

Discussions of and recommendations for the training of clinical neuropsychologists exist at the doctoral, internship, and post-doctoral level. With few exceptions, the literature on undergraduate preparations in clinical neuropsychology is sparse and lacks empirical evidence. In the present study, graduate-level faculty and current trainees completed surveys about graduate school preparations. Faculty expectations of minimum and ideal undergraduate training were highest for research methods, statistics, and assessment. Preferences for "goodness of fit" also emerged as important admissions factors. These results offer evidence for desirable undergraduate preparations for advanced study in clinical neuropsychology. Although undergraduate training in psychology is intentionally broad, results from this study suggest that students who desire advanced study in clinical neuropsychology need to tailor their experiences to be competitive in the application process. The findings have implications for prospective graduate students, faculty who train and mentor undergraduates, and faculty who serve on admissions committees.

A Novel User Classification Method for Femtocell Network by Using Affinity Propagation Algorithm and Artificial Neural Network

PubMed Central

Ahmed, Afaz Uddin; Tariqul Islam, Mohammad; Ismail, Mahamod; Kibria, Salehin; Arshad, Haslina

2014-01-01

An artificial neural network (ANN) and affinity propagation (AP) algorithm based user categorization technique is presented. The proposed algorithm is designed for closed access femtocell network. ANN is used for user classification process and AP algorithm is used to optimize the ANN training process. AP selects the best possible training samples for faster ANN training cycle. The users are distinguished by using the difference of received signal strength in a multielement femtocell device. A previously developed directive microstrip antenna is used to configure the femtocell device. Simulation results show that, for a particular house pattern, the categorization technique without AP algorithm takes 5 indoor users and 10 outdoor users to attain an error-free operation. While integrating AP algorithm with ANN, the system takes 60% less training samples reducing the training time up to 50%. This procedure makes the femtocell more effective for closed access operation. PMID:25133214

A novel user classification method for femtocell network by using affinity propagation algorithm and artificial neural network.

PubMed

Ahmed, Afaz Uddin; Islam, Mohammad Tariqul; Ismail, Mahamod; Kibria, Salehin; Arshad, Haslina

2014-01-01

An artificial neural network (ANN) and affinity propagation (AP) algorithm based user categorization technique is presented. The proposed algorithm is designed for closed access femtocell network. ANN is used for user classification process and AP algorithm is used to optimize the ANN training process. AP selects the best possible training samples for faster ANN training cycle. The users are distinguished by using the difference of received signal strength in a multielement femtocell device. A previously developed directive microstrip antenna is used to configure the femtocell device. Simulation results show that, for a particular house pattern, the categorization technique without AP algorithm takes 5 indoor users and 10 outdoor users to attain an error-free operation. While integrating AP algorithm with ANN, the system takes 60% less training samples reducing the training time up to 50%. This procedure makes the femtocell more effective for closed access operation.

Pathologists dislike sound? Evaluation of a computerised training microscope.

PubMed Central

Gray, E; Duvall, E; Sprey, J; Bird, C C

1998-01-01

AIM: To evaluate the use of multimedia enhancements, using a computerised microscope, in the training of microscope skills. METHODS: The HOME microscope provides facilities to highlight features of interest in conjunction with either text display or aural presentation. A pilot study was carried out with 10 individuals, eight of whom were at different stages of pathology training. A tutorial was implemented employing sound or text, and each individual tested each version. Both the subjective impressions of users and objective measurement of their patterns of use were recorded. RESULTS: Although both versions improved learning, users took longer to work through the aural than the text version; 90% of users preferred the text only version, including all eight individuals involved in pathology training. CONCLUSIONS: Pathologists appear to prefer visual rather than aural input when using teaching systems such as the HOME microscope and sound does not give added value to the training experience. Images PMID:9659250

Investigation of a reinforcement-based toilet training procedure for children with autism.

PubMed

Cicero, Frank R; Pfadt, Al

2002-01-01

Independent toileting is an important developmental skill which individuals with developmental disabilities often find a challenge to master. Effective toilet training interventions have been designed which rely on a combination of basic operant principles of positive reinforcement and punishment. In the present study, the effectiveness of a reinforcement-based toilet training intervention was investigated with three children with a diagnosis of autism. Procedures included a combination of positive reinforcement, graduated guidance, scheduled practice trials and forward prompting. Results indicated that all procedures were implemented in response to urination accidents. A three participants reduced urination accidents to zero and learned to spontaneously request use of the bathroom within 7-11 days of training. Gains were maintained over 6-month and 1-year follow-ups. Findings suggest that the proposed procedure is an effective and rapid method of toilet training, which can be implemented within a structured school setting with generalization to the home environment.

Game-Based E-Learning Is More Effective than a Conventional Instructional Method: A Randomized Controlled Trial with Third-Year Medical Students

PubMed Central

Boeker, Martin; Andel, Peter; Vach, Werner; Frankenschmidt, Alexander

2013-01-01

Background When compared with more traditional instructional methods, Game-based e-learning (GbEl) promises a higher motivation of learners by presenting contents in an interactive, rule-based and competitive way. Most recent systematic reviews and meta-analysis of studies on Game-based learning and GbEl in the medical professions have shown limited effects of these instructional methods. Objectives To compare the effectiveness on the learning outcome of a Game-based e-learning (GbEl) instruction with a conventional script-based instruction in the teaching of phase contrast microscopy urinalysis under routine training conditions of undergraduate medical students. Methods A randomized controlled trial was conducted with 145 medical students in their third year of training in the Department of Urology at the University Medical Center Freiburg, Germany. 82 subjects where allocated for training with an educational adventure-game (GbEl group) and 69 subjects for conventional training with a written script-based approach (script group). Learning outcome was measured with a 34 item single choice test. Students' attitudes were collected by a questionnaire regarding fun with the training, motivation to continue the training and self-assessment of acquired knowledge. Results The students in the GbEl group achieved significantly better results in the cognitive knowledge test than the students in the script group: the mean score was 28.6 for the GbEl group and 26.0 for the script group of a total of 34.0 points with a Cohen's d effect size of 0.71 (ITT analysis). Attitudes towards the recent learning experience were significantly more positive with GbEl. Students reported to have more fun while learning with the game when compared to the script-based approach. Conclusions Game-based e-learning is more effective than a script-based approach for the training of urinalysis in regard to cognitive learning outcome and has a high positive motivational impact on learning. Game-based e-learning can be used as an effective teaching method for self-instruction. PMID:24349257

Metodo y Proceso de la Investigacion Participativa en la Capacitacion Rural (The Method and Process of Participatory Research in Rural Leadership Training). Cuadernos del CREFAL 19.

ERIC Educational Resources Information Center

de Schutter, Anton

In participatory research, education and learner participation are directly connected. The document analyzes the role of a participatory research method in the basic education of rural adults. The different phases of the Participant Research method are presented, along with a profound analysis of both research and participation. The claim is that…

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

Convolutional networks for vehicle track segmentation

DOE PAGES

Quach, Tu-Thach

2017-08-19

Existing methods to detect vehicle tracks in coherent change detection images, a product of combining two synthetic aperture radar images taken at different times of the same scene, rely on simple, fast models to label track pixels. These models, however, are unable to capture natural track features such as continuity and parallelism. More powerful, but computationally expensive models can be used in offline settings. We present an approach that uses dilated convolutional networks consisting of a series of 3-by-3 convolutions to segment vehicle tracks. The design of our networks considers the fact that remote sensing applications tend to operate inmore » low power and have limited training data. As a result, we aim for small, efficient networks that can be trained end-to-end to learn natural track features entirely from limited training data. We demonstrate that our 6-layer network, trained on just 90 images, is computationally efficient and improves the F-score on a standard dataset to 0.992, up from 0.959 obtained by the current state-of-the-art method.« less

Convolutional networks for vehicle track segmentation

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

Quach, Tu-Thach

Existing methods to detect vehicle tracks in coherent change detection images, a product of combining two synthetic aperture radar images taken at different times of the same scene, rely on simple, fast models to label track pixels. These models, however, are unable to capture natural track features such as continuity and parallelism. More powerful, but computationally expensive models can be used in offline settings. We present an approach that uses dilated convolutional networks consisting of a series of 3-by-3 convolutions to segment vehicle tracks. The design of our networks considers the fact that remote sensing applications tend to operate inmore » low power and have limited training data. As a result, we aim for small, efficient networks that can be trained end-to-end to learn natural track features entirely from limited training data. We demonstrate that our 6-layer network, trained on just 90 images, is computationally efficient and improves the F-score on a standard dataset to 0.992, up from 0.959 obtained by the current state-of-the-art method.« less

A computer-based training system combining virtual reality and multimedia

NASA Technical Reports Server (NTRS)

Stansfield, Sharon A.

1993-01-01

Training new users of complex machines is often an expensive and time-consuming process. This is particularly true for special purpose systems, such as those frequently encountered in DOE applications. This paper presents a computer-based training system intended as a partial solution to this problem. The system extends the basic virtual reality (VR) training paradigm by adding a multimedia component which may be accessed during interaction with the virtual environment. The 3D model used to create the virtual reality is also used as the primary navigation tool through the associated multimedia. This method exploits the natural mapping between a virtual world and the real world that it represents to provide a more intuitive way for the student to interact with all forms of information about the system.

An assessment of individualized technical ear training for audio production.

PubMed

Kim, Sungyoung

2015-07-01

An individualized technical ear training method is compared to a non-individualized method. The efficacy of the individualized method is assessed using a standardized test conducted before and after the training period. Participants who received individualized training improved better than the control group on the test. Results indicate the importance of individualized training for acquisition of spectrum-identification and spectrum-matching skills. Individualized training, therefore, should be implemented by default into technical ear training programs used in audio production industry and education.

Future Training for Service; A Report to the Library and Information Science Profession.

ERIC Educational Resources Information Center

Ely, Donald P.

Present thought on professional library and information science education for the future is largely focused on improvements and modifications of present programs. However, more radical changes must be made to prepare professionals to cope with future information needs. Course content, structure, and methods should be altered to deal with new and…

[MODERN EDUCATIONAL TECHNOLOGY MASTERING PRACTICAL SKILLS OF GENERAL PRACTITIONERS].

PubMed

Kovalchuk, L I; Prokopchuk, Y V; Naydyonova, O V

2015-01-01

The article presents the experience of postgraduate training of general practitioners--family medicine. Identified current trends, forms and methods of pedagogical innovations that enhance the quality of learning and mastering the practical skills of primary professionals providing care.

Summaries Of Research Studies In Business Education-1968

ERIC Educational Resources Information Center

Nat Bus Educ Ass, 1969

1969-01-01

Abstracts of doctoral and masters' theses are presented in the following categories: accounting, administration, automation, bookkeeping, communications, distributive education, economics, general business, guidance, higher education, materials of instruction, methods of instruction, office education, philosophy, prognosis, secretarial training,…

Annotated Bibliography on the Teaching of Psychology: 1999.

ERIC Educational Resources Information Center

Johnson, David E.; Schroder, Simone I.

2000-01-01

Presents an annotated bibliography covering awards, computers and technology, critical thinking, developmental psychology and aging, ethics, graduate education and training issues, high school psychology, history, introductory psychology, learning and cognition, perception/physiological/comparative psychology, research methods and research-related…

Internet Training to Respond to Aggressive Resident Behaviors

PubMed Central

Irvine, A. Blair; Billow, Molly B.; Gates, Donna M.; Fitzwater, Evelyn L.; Seeley, John R.; Bourgeois, Michelle

2012-01-01

Purpose: This research evaluated an individualized Internet training designed to teach nurse aides (NAs) strategies to prevent or, if necessary, react to resident aggression in ways that are safe for the resident as well as the caregiver. Design and Methods: A randomized treatment and control design was implemented, with baseline, 1-, and 2-month assessments for 158 NAs. The training involved 2 weekly visits. The Internet intervention was a behaviorally focused and video-based training that included content on skills for safely dealing with physical aggression. Measures included video situation testing and assessment of psychosocial constructs associated with behavior change. Results: Analysis of covariance showed positive results for knowledge, attitudes, self-efficacy, and empathy, with medium–large effect sizes maintained after 2 months. The training was well received by participants. Implications: Internet training is a viable approach to shape appropriate NA reactions to aggressive resident behaviors. This format has future potential because it offers fidelity of presentation and automated documentation, with minimal supervision. PMID:22038338

Communicating about death and dying: Developing training for staff working in services for people with intellectual disabilities.

PubMed

Tuffrey-Wijne, Irene; Rose, Tracey; Grant, Robert; Wijne, Astrid

2017-11-01

Many people with intellectual disabilities are affected by death, yet conversations about death are often avoided by staff working with them. This study aimed to assess staff training needs and to develop, trial and evaluate a training course on communicating about death and dying. (i) Semi-structured interviews with 20 staff in residential/supported living services to establish training needs; (ii) three-one-day courses were attended by 114 staff and evaluated through questionnaires. The course consisted of World Café sessions, presentations and feedback by people with intellectual disabilities, and an expert teaching session. Staff fear, cultural influences and inexperience with death-related conversations were major communication barriers. Evaluation of the course was overwhelmingly positive. Intellectual disabilities services must have clear staff training strategies around death, dying and communication. More work is needed to assess the resource implications and impact on practice of different training methods and other support strategies. © 2017 John Wiley & Sons Ltd.

Using virtual data for training deep model for hand gesture recognition

NASA Astrophysics Data System (ADS)

Nikolaev, E. I.; Dvoryaninov, P. V.; Lensky, Y. Y.; Drozdovsky, N. S.

2018-05-01

Deep learning has shown real promise for the classification efficiency for hand gesture recognition problems. In this paper, the authors present experimental results for a deeply-trained model for hand gesture recognition through the use of hand images. The authors have trained two deep convolutional neural networks. The first architecture produces the hand position as a 2D-vector by input hand image. The second one predicts the hand gesture class for the input image. The first proposed architecture produces state of the art results with an accuracy rate of 89% and the second architecture with split input produces accuracy rate of 85.2%. In this paper, the authors also propose using virtual data for training a supervised deep model. Such technique is aimed to avoid using original labelled images in the training process. The interest of this method in data preparation is motivated by the need to overcome one of the main challenges of deep supervised learning: using a copious amount of labelled data during training.

Knowledge, attitudes and practices of food handlers in food safety: An integrative review.

PubMed

Zanin, Laís Mariano; da Cunha, Diogo Thimoteo; de Rosso, Veridiana Vera; Capriles, Vanessa Dias; Stedefeldt, Elke

2017-10-01

This study presents an overview of the relationship between knowledge, attitudes and practices (KAP) of food handlers with training in food safety, in addition to proposing reflections on the training of food handlers, considering its responsibility for food safety and health of consumers. The review was based on the integrative method. The descriptors used were: (food handler), (knowledge, attitudes and practice) and (training). Six databases were searched, 253 articles were consulted and 36 original articles were included. Fifty per cent of the articles pointed that there was no proper translation of knowledge into attitudes/practices or attitudes into practices after training. Knowledge, attitudes and practices of food handlers are important for identifying how efficient training in food safety is allowing prioritize actions in planning training. The evaluation of KAP is the first step to understand the food handler's point of view. After this evaluation other diagnostic strategies become necessary to enhance this understanding. Copyright © 2017. Published by Elsevier Ltd.

Using game technologies to improve the safety of construction plant operations.

PubMed

Guo, Hongling; Li, Heng; Chan, Greg; Skitmore, Martin

2012-09-01

Many accidents occur world-wide in the use of construction plant and equipment, and safety training is considered by many to be one of the best approaches to their prevention. However, current safety training methods/tools are unable to provide trainees with the hands-on practice needed. Game technology-based safety training platforms have the potential to overcome this problem in a virtual environment. One such platform is described in this paper - its characteristics are analysed and its possible contribution to safety training identified. This is developed and tested by means of a case study involving three major pieces of construction plant, which successfully demonstrates that the platform can improve the process and performance of the safety training involved in their operation. This research not only presents a new and useful solution to the safety training of construction operations, but illustrates the potential use of advanced technologies in solving construction industry problems in general. Copyright © 2011 Elsevier Ltd. All rights reserved.

Can virtual reality be used to conduct mass prophylaxis clinic training? A pilot program.

PubMed

Yellowlees, Peter; Cook, James N; Marks, Shayna L; Wolfe, Daniel; Mangin, Elanor

2008-03-01

To create and evaluate a pilot bioterrorism defense training environment using virtual reality technology. The present pilot project used Second Life, an internet-based virtual world system, to construct a virtual reality environment to mimic an actual setting that might be used as a Strategic National Stockpile (SNS) distribution site for northern California in the event of a bioterrorist attack. Scripted characters were integrated into the system as mock patients to analyze various clinic workflow scenarios. Users tested the virtual environment over two sessions. Thirteen users who toured the environment were asked to complete an evaluation survey. Respondents reported that the virtual reality system was relevant to their practice and had potential as a method of bioterrorism defense training. Computer simulations of bioterrorism defense training scenarios are feasible with existing personal computer technology. The use of internet-connected virtual environments holds promise for bioterrorism defense training. Recommendations are made for public health agencies regarding the implementation and benefits of using virtual reality for mass prophylaxis clinic training.

Training Toddlers Seated on Mobile Robots to Steer Using Force-Feedback Joystick.

PubMed

Agrawal, S K; Xi Chen; Ragonesi, C; Galloway, J C

2012-01-01

The broader goal of our research is to train infants with special needs to safely and purposefully drive a mobile robot to explore the environment. The hypothesis is that these impaired infants will benefit from mobility in their early years and attain childhood milestones, similar to their healthy peers. In this paper, we present an algorithm and training method using a force-feedback joystick with an "assist-as-needed" paradigm for driving training. In this "assist-as-needed" approach, if the child steers the joystick outside a force tunnel centered on the desired direction, the driver experiences a bias force on the hand. We show results with a group study on typically developing toddlers that such a haptic guidance algorithm is superior to training with a conventional joystick. We also provide a case study on two special needs children, under three years old, who learn to make sharp turns during driving, when trained over a five-day period with the force-feedback joystick using the algorithm.

Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm

PubMed Central

Tra, Viet; Kim, Jaeyoung; Kim, Jong-Myon

2017-01-01

This paper presents a novel method for diagnosing incipient bearing defects under variable operating speeds using convolutional neural networks (CNNs) trained via the stochastic diagonal Levenberg-Marquardt (S-DLM) algorithm. The CNNs utilize the spectral energy maps (SEMs) of the acoustic emission (AE) signals as inputs and automatically learn the optimal features, which yield the best discriminative models for diagnosing incipient bearing defects under variable operating speeds. The SEMs are two-dimensional maps that show the distribution of energy across different bands of the AE spectrum. It is hypothesized that the variation of a bearing’s speed would not alter the overall shape of the AE spectrum rather, it may only scale and translate it. Thus, at different speeds, the same defect would yield SEMs that are scaled and shifted versions of each other. This hypothesis is confirmed by the experimental results, where CNNs trained using the S-DLM algorithm yield significantly better diagnostic performance under variable operating speeds compared to existing methods. In this work, the performance of different training algorithms is also evaluated to select the best training algorithm for the CNNs. The proposed method is used to diagnose both single and compound defects at six different operating speeds. PMID:29211025

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

Training auscultatory skills: computer simulated heart sounds or additional bedside training? A randomized trial on third-year medical students

PubMed Central

2010-01-01

Background The present study compares the value of additional use of computer simulated heart sounds, to conventional bedside auscultation training, on the cardiac auscultation skills of 3rd year medical students at Oslo University Medical School. Methods In addition to their usual curriculum courses, groups of seven students each were randomized to receive four hours of additional auscultation training either employing a computer simulator system or adding on more conventional bedside training. Cardiac auscultation skills were afterwards tested using live patients. Each student gave a written description of the auscultation findings in four selected patients, and was rewarded from 0-10 points for each patient. Differences between the two study groups were evaluated using student's t-test. Results At the auscultation test no significant difference in mean score was found between the students who had used additional computer based sound simulation compared to additional bedside training. Conclusions Students at an early stage of their cardiology training demonstrated equal performance of cardiac auscultation whether they had received an additional short auscultation course based on computer simulated training, or had had additional bedside training. PMID:20082701

NATO survey of mental health training in army recruits.

PubMed

Adler, Amy B; Delahaij, Roos; Bailey, Suzanne M; Van den Berge, Carlo; Parmak, Merle; van Tussenbroek, Barend; Puente, José M; Landratova, Sandra; Kral, Pavel; Kreim, Guenter; Rietdijk, Deirdre; McGurk, Dennis; Castro, Carl Andrew

2013-07-01

To-date, there has been no international review of mental health resilience training during Basic Training nor an assessment of what service members perceive as useful from their perspective. In response to this knowledge gap, the North Atlantic Treaty Organization (NATO) Human Factors & Medicine Research & Technology Task Group "Mental Health Training" initiated a survey and interview with seven to twenty recruits from nine nations to inform the development of such training (N = 121). All nations provided data from soldiers joining the military as volunteers, whereas two nations also provided data from conscripts. Results from the volunteer data showed relatively consistent ranking in terms of perceived demands, coping strategies, and preferences for resilience skill training across the nations. Analysis of data from conscripts identified a select number of differences compared to volunteers. Subjects also provided examples of coping with stress during Basic Training that can be used in future training; themes are presented here. Results are designed to show the kinds of demands facing new recruits and coping methods used to overcome these demands to develop relevant resilience training for NATO nations. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

Integration of basic dermatological care into primary health care services in Mali.

PubMed Central

Mahé, Antoine; Faye, Ousmane; N'Diaye, Hawa Thiam; Konaré, Habibatou Diawara; Coulibaly, Ibrahima; Kéita, Somita; Traoré, Abdel Kader; Hay, Roderick J.

2005-01-01

OBJECTIVE: To evaluate, in a developing country, the effect of a short training programme for general health care workers on the management of common skin diseases--a neglected component of primary health care in such regions. METHODS: We provided a one-day training programme on the management of the skin diseases to 400 health care workers who worked in primary health care centres in the Bamako area. We evaluated their knowledge and practice before and after training. FINDINGS: Before training, knowledge about skin diseases often was poor and practice inadequate. We found a marked improvement in both parameters after training. We analysed the registers of primary health care centres and found that the proportion of patients who presented with skin diseases who benefited from a clear diagnosis and appropriate treatment increased from 42% before the training to 81% after; this was associated with a 25% reduction in prescription costs. Improved levels of knowledge and practice persisted for up to 18 months after training. CONCLUSIONS: The training programme markedly improved the basic dermatological abilities of the health care workers targeted. Specific training may be a reasonable solution to a neglected component of primary health care in many developing countries. PMID:16462986